fumiyau/python_no_comments_test10000 · Datasets at Hugging Face

f70d79f8e4f21bcfc37da7f16472f661413a1eb8

45,078

py

Python

scuole/states/migrations/0001_initial.py

texastribune/scuole

8ab316ee50ef0d8e71b94b50dc889d10c6e83412

[ "MIT" ]

1

2019-03-12T04:30:02.000Z

scuole/states/migrations/0001_initial.py

texastribune/scuole

8ab316ee50ef0d8e71b94b50dc889d10c6e83412

[ "MIT" ]

616

2017-08-18T21:15:39.000Z

2022-03-25T11:17:10.000Z

scuole/states/migrations/0001_initial.py

texastribune/scuole

8ab316ee50ef0d8e71b94b50dc889d10c6e83412

[ "MIT" ]

null

# -*- coding: utf-8 -*- # Generated by Django 1.9 on 2015-12-08 00:16 from __future__ import unicode_literals import django.contrib.gis.db.models.fields from django.db import migrations, models import django.db.models.deletion import localflavor.us.models import phonenumber_field.modelfields class Migration(migrations.Migration): initial = True dependencies = [ ('stats', '0002_auto_20151109_0319'), ] operations = [ migrations.CreateModel( name='Commissioner', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=254, verbose_name='Name of personnel')), ('role', models.CharField(max_length=100, verbose_name='Role of personnel')), ('email', models.EmailField(max_length=254, verbose_name='Email of personnel')), ('phone_number', phonenumber_field.modelfields.PhoneNumberField(max_length=20, verbose_name='Phone number of personnel')), ('phone_number_extension', models.CharField(blank=True, default='', max_length=4, verbose_name='Phone number extension')), ('fax_number', phonenumber_field.modelfields.PhoneNumberField(max_length=20, verbose_name='Fax number of personnel')), ('fax_number_extension', models.CharField(blank=True, default='', max_length=4, verbose_name='Fax number extension')), ], options={ 'abstract': False, }, ), migrations.CreateModel( name='State', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', localflavor.us.models.USStateField(choices=[('AL', 'Alabama'), ('AK', 'Alaska'), ('AS', 'American Samoa'), ('AZ', 'Arizona'), ('AR', 'Arkansas'), ('AA', 'Armed Forces Americas'), ('AE', 'Armed Forces Europe'), ('AP', 'Armed Forces Pacific'), ('CA', 'California'), ('CO', 'Colorado'), ('CT', 'Connecticut'), ('DE', 'Delaware'), ('DC', 'District of Columbia'), ('FL', 'Florida'), ('GA', 'Georgia'), ('GU', 'Guam'), ('HI', 'Hawaii'), ('ID', 'Idaho'), ('IL', 'Illinois'), ('IN', 'Indiana'), ('IA', 'Iowa'), ('KS', 'Kansas'), ('KY', 'Kentucky'), ('LA', 'Louisiana'), ('ME', 'Maine'), ('MD', 'Maryland'), ('MA', 'Massachusetts'), ('MI', 'Michigan'), ('MN', 'Minnesota'), ('MS', 'Mississippi'), ('MO', 'Missouri'), ('MT', 'Montana'), ('NE', 'Nebraska'), ('NV', 'Nevada'), ('NH', 'New Hampshire'), ('NJ', 'New Jersey'), ('NM', 'New Mexico'), ('NY', 'New York'), ('NC', 'North Carolina'), ('ND', 'North Dakota'), ('MP', 'Northern Mariana Islands'), ('OH', 'Ohio'), ('OK', 'Oklahoma'), ('OR', 'Oregon'), ('PA', 'Pennsylvania'), ('PR', 'Puerto Rico'), ('RI', 'Rhode Island'), ('SC', 'South Carolina'), ('SD', 'South Dakota'), ('TN', 'Tennessee'), ('TX', 'Texas'), ('UT', 'Utah'), ('VT', 'Vermont'), ('VI', 'Virgin Islands'), ('VA', 'Virginia'), ('WA', 'Washington'), ('WV', 'West Virginia'), ('WI', 'Wisconsin'), ('WY', 'Wyoming')], max_length=2, verbose_name='State name')), ('slug', models.SlugField()), ('shape', django.contrib.gis.db.models.fields.MultiPolygonField(null=True, srid=4326, verbose_name='State shape')), ], ), migrations.CreateModel( name='StateStats', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('all_students_count', models.IntegerField(blank=True, null=True, verbose_name='Number of students')), ('african_american_count', models.IntegerField(blank=True, null=True, verbose_name='Number of African American students')), ('american_indian_count', models.IntegerField(blank=True, null=True, verbose_name='Number of American Indian students')), ('asian_count', models.IntegerField(blank=True, null=True, verbose_name='Number of Asian students')), ('hispanic_count', models.IntegerField(blank=True, null=True, verbose_name='Number of Hispanic students')), ('pacific_islander_count', models.IntegerField(blank=True, null=True, verbose_name='Number of Pacific Islander students')), ('two_or_more_races_count', models.IntegerField(blank=True, null=True, verbose_name='Number of Two or More Races students')), ('white_count', models.IntegerField(blank=True, null=True, verbose_name='Number of White students')), ('early_childhood_education_count', models.IntegerField(blank=True, null=True, verbose_name='Number of early childhood education students')), ('prek_count', models.IntegerField(blank=True, null=True, verbose_name='Number of pre-K students')), ('kindergarten_count', models.IntegerField(blank=True, null=True, verbose_name='Number of kindergarten students')), ('first_count', models.IntegerField(blank=True, null=True, verbose_name='Number of first grade students')), ('second_count', models.IntegerField(blank=True, null=True, verbose_name='Number of second grade students')), ('third_count', models.IntegerField(blank=True, null=True, verbose_name='Number of third grade students')), ('fourth_count', models.IntegerField(blank=True, null=True, verbose_name='Number of fourth grade students')), ('fifth_count', models.IntegerField(blank=True, null=True, verbose_name='Number of fifth grade students')), ('sixth_count', models.IntegerField(blank=True, null=True, verbose_name='Number of sixth grade students')), ('seventh_count', models.IntegerField(blank=True, null=True, verbose_name='Number of seventh grade students')), ('eighth_count', models.IntegerField(blank=True, null=True, verbose_name='Number of eigth grade students')), ('ninth_count', models.IntegerField(blank=True, null=True, verbose_name='Number of ninth grade students')), ('tenth_count', models.IntegerField(blank=True, null=True, verbose_name='Number of tenth grade students')), ('eleventh_count', models.IntegerField(blank=True, null=True, verbose_name='Number of eleventh grade students')), ('twelfth_count', models.IntegerField(blank=True, null=True, verbose_name='Number of twelfth grade students')), ('at_risk_count', models.IntegerField(blank=True, null=True, verbose_name='Number of at risk students')), ('economically_disadvantaged_count', models.IntegerField(blank=True, null=True, verbose_name='Number of economically disadvantaged students')), ('limited_english_proficient_count', models.IntegerField(blank=True, null=True, verbose_name='Number of limited English proficient students')), ('african_american_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of African American students')), ('american_indian_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of American Indian students')), ('asian_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of Asian students')), ('hispanic_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of Hispanic students')), ('pacific_islander_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of Pacific Islander students')), ('two_or_more_races_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of Two or More Races students')), ('white_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of White students')), ('early_childhood_education_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of early childhood education students')), ('prek_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of pre-K students')), ('kindergarten_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of kindergarten students')), ('first_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of first grade students')), ('second_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of second grade students')), ('third_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of third grade students')), ('fourth_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of fourth grade students')), ('fifth_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of fifth grade students')), ('sixth_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of sixth grade students')), ('seventh_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of seventh grade students')), ('eighth_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of eighth grade students')), ('ninth_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of ninth grade students')), ('tenth_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of tenth grade students')), ('eleventh_percent', models.FloatField(null=True, verbose_name='Percent of eleventh grade students')), ('twelfth_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of twelfth grade students')), ('at_risk_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of at risk students')), ('economically_disadvantaged_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of economically disadvantaged students')), ('limited_english_proficient_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of limited English proficient students')), ('bilingual_esl_count', models.IntegerField(blank=True, null=True, verbose_name='Number of students enrolled in bilingual/ESL program')), ('career_technical_education_count', models.IntegerField(blank=True, null=True, verbose_name='Number of students enrolled in career and technical education program')), ('gifted_and_talented_count', models.IntegerField(blank=True, null=True, verbose_name='Number of students enrolled in gifted and talented program')), ('special_education_count', models.IntegerField(blank=True, null=True, verbose_name='Number of students enrolled in special education program')), ('bilingual_esl_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of students enrolled in bilingual/ESL program')), ('career_technical_education_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of students enrolled in career and technical education program')), ('gifted_and_talented_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of students enrolled in gifted and talented program')), ('special_education_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of students enrolled in special education program')), ('class_size_avg_kindergarten', models.FloatField(blank=True, null=True, verbose_name='Average kindergarten grade class size')), ('class_size_avg_first', models.FloatField(blank=True, null=True, verbose_name='Average first grade class size')), ('class_size_avg_second', models.FloatField(blank=True, null=True, verbose_name='Average second grade class size')), ('class_size_avg_third', models.FloatField(blank=True, null=True, verbose_name='Average third grade class size')), ('class_size_avg_fourth', models.FloatField(blank=True, null=True, verbose_name='Average fourth grade class size')), ('class_size_avg_fifth', models.FloatField(blank=True, null=True, verbose_name='Average fifth grade class size')), ('class_size_avg_sixth', models.FloatField(blank=True, null=True, verbose_name='Average sixth grade class size')), ('class_size_avg_mixed_elementary', models.FloatField(blank=True, null=True, verbose_name='Average mixed elementary class size')), ('class_size_avg_secondary_english', models.FloatField(blank=True, null=True, verbose_name='Average secondary English class size')), ('class_size_avg_secondary_foreign_language', models.FloatField(blank=True, null=True, verbose_name='Average secondary foreign language class size')), ('class_size_avg_secondary_math', models.FloatField(blank=True, null=True, verbose_name='Average secondary math class size')), ('class_size_avg_secondary_science', models.FloatField(blank=True, null=True, verbose_name='Average secondary science class size')), ('class_size_avg_secondary_social_studies', models.FloatField(blank=True, null=True, verbose_name='Average secondary social studies class size')), ('students_per_teacher', models.FloatField(blank=True, null=True, verbose_name='Number of students per teacher')), ('teacher_avg_tenure', models.FloatField(blank=True, null=True, verbose_name='Average tenure of teachers at entity')), ('teacher_avg_experience', models.FloatField(blank=True, null=True, verbose_name='Average years of experience at entity')), ('teacher_avg_base_salary', models.DecimalField(blank=True, decimal_places=2, max_digits=10, null=True, verbose_name='Average teacher salary at entity')), ('teacher_avg_beginning_salary', models.DecimalField(blank=True, decimal_places=2, max_digits=10, null=True, verbose_name='Average teacher beginning salary at entity')), ('teacher_avg_1_to_5_year_salary', models.DecimalField(blank=True, decimal_places=2, max_digits=10, null=True, verbose_name='Average salary for teachers with 1-5 years experience')), ('teacher_avg_6_to_10_year_salary', models.DecimalField(blank=True, decimal_places=2, max_digits=10, null=True, verbose_name='Average salary for teachers with 6-10 years experience')), ('teacher_avg_11_to_20_year_salary', models.DecimalField(blank=True, decimal_places=2, max_digits=10, null=True, verbose_name='Average salary for teachers with 11-20 years experience')), ('teacher_avg_20_plus_year_salary', models.DecimalField(blank=True, decimal_places=2, max_digits=10, null=True, verbose_name='Average salary for teachers with over 20 years experience')), ('college_ready_graduates_english_all_students_count', models.IntegerField(blank=True, null=True, verbose_name='Number of college ready students in English')), ('college_ready_graduates_english_african_american_count', models.IntegerField(blank=True, null=True, verbose_name='Number of college ready African American graduates in English')), ('college_ready_graduates_english_asian_count', models.IntegerField(blank=True, null=True, verbose_name='Number of college ready Asian graduates in English')), ('college_ready_graduates_english_hispanic_count', models.IntegerField(blank=True, null=True, verbose_name='Number of college ready Hispanic graduates in English')), ('college_ready_graduates_english_american_indian_count', models.IntegerField(blank=True, null=True, verbose_name='Number of college ready American Indian graduates in English')), ('college_ready_graduates_english_pacific_islander_count', models.IntegerField(blank=True, null=True, verbose_name='Number of college ready Pacific Islander graduates in English')), ('college_ready_graduates_english_two_or_more_races_count', models.IntegerField(blank=True, null=True, verbose_name='Number of college ready graduates of two or more races in English')), ('college_ready_graduates_english_white_count', models.IntegerField(blank=True, null=True, verbose_name='Number of college ready white graduates in English')), ('college_ready_graduates_english_economically_disadvantaged_count', models.IntegerField(blank=True, db_column='college_ready_graduates_english_econ_disadv_count', null=True, verbose_name='Number of college ready economically disadvantaged graduates in English')), ('college_ready_graduates_english_limited_english_proficient_count', models.IntegerField(blank=True, db_column='college_ready_graduates_english_lep_count', null=True, verbose_name='Number of college ready limited english proficient graduates in English')), ('college_ready_graduates_english_at_risk_count', models.IntegerField(blank=True, null=True, verbose_name='Number of college ready at risk graduates in English')), ('college_ready_graduates_math_all_students_count', models.IntegerField(blank=True, null=True, verbose_name='Number of college ready students in math')), ('college_ready_graduates_math_african_american_count', models.IntegerField(blank=True, null=True, verbose_name='Number of college ready African American graduates in math')), ('college_ready_graduates_math_asian_count', models.IntegerField(blank=True, null=True, verbose_name='Number of college ready Asian graduates in math')), ('college_ready_graduates_math_hispanic_count', models.IntegerField(blank=True, null=True, verbose_name='Number of college ready Hispanic graduates in math')), ('college_ready_graduates_math_american_indian_count', models.IntegerField(blank=True, null=True, verbose_name='Number of college ready American Indian graduates in math')), ('college_ready_graduates_math_pacific_islander_count', models.IntegerField(blank=True, null=True, verbose_name='Number of college ready Pacific Islander graduates in math')), ('college_ready_graduates_math_two_or_more_races_count', models.IntegerField(blank=True, null=True, verbose_name='Number of college ready graduages of two or more races in math')), ('college_ready_graduates_math_white_count', models.IntegerField(blank=True, null=True, verbose_name='Number of college ready white graduates in math')), ('college_ready_graduates_math_economically_disadvantaged_count', models.IntegerField(blank=True, db_column='college_ready_graduates_math_econ_disadv_count', null=True, verbose_name='Number of college ready economically disadvantaged graduates in math')), ('college_ready_graduates_math_limited_english_proficient_count', models.IntegerField(blank=True, db_column='college_ready_graduates_math_lep_count', null=True, verbose_name='Number of college ready limited english proficient graduates in math')), ('college_ready_graduates_math_at_risk_count', models.IntegerField(blank=True, null=True, verbose_name='Number of college ready at risk graduates in math')), ('college_ready_graduates_both_all_students_count', models.IntegerField(blank=True, null=True, verbose_name='Number of college ready graduates in both subjects')), ('college_ready_graduates_both_african_american_count', models.IntegerField(blank=True, null=True, verbose_name='Number of college ready african american graduates in both subjects')), ('college_ready_graduates_both_asian_count', models.IntegerField(blank=True, null=True, verbose_name='Number of college ready Asian graduates in both subjects')), ('college_ready_graduates_both_hispanic_count', models.IntegerField(blank=True, null=True, verbose_name='Number of college ready Hispanic graduates in both subjects')), ('college_ready_graduates_both_american_indian_count', models.IntegerField(blank=True, null=True, verbose_name='Number of college ready American Indian graduates in both subjects')), ('college_ready_graduates_both_pacific_islander_count', models.IntegerField(blank=True, null=True, verbose_name='Number of college ready Pacific Islander graduates in both subjects')), ('college_ready_graduates_both_two_or_more_races_count', models.IntegerField(blank=True, null=True, verbose_name='Number of college ready graduates of two or more races in both subjects')), ('college_ready_graduates_both_white_count', models.IntegerField(blank=True, null=True, verbose_name='Number of college ready white graduates in both subjects')), ('college_ready_graduates_both_economically_disadvantaged_count', models.IntegerField(blank=True, db_column='college_ready_graduates_both_econ_disadv_count', null=True, verbose_name='Number of college ready economically disadvantaged graduates in both subjects')), ('college_ready_graduates_both_limited_english_proficient_count', models.IntegerField(blank=True, db_column='college_ready_graduates_both_lep_count', null=True, verbose_name='Number of college ready limited english proficient graduates in both subjects')), ('college_ready_graduates_both_at_risk_count', models.IntegerField(blank=True, null=True, verbose_name='Number of college ready at risk graduates in both')), ('college_ready_graduates_english_all_students_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of college ready graduates in English')), ('college_ready_graduates_english_african_american_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of college ready African American graduates in English')), ('college_ready_graduates_english_asian_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of college ready Asian graduates in English')), ('college_ready_graduates_english_hispanic_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of college ready Hispanic graduates in English')), ('college_ready_graduates_english_american_indian_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of college ready American Indian graduates in english')), ('college_ready_graduates_english_pacific_islander_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of college ready Pacific Islander graduates in English')), ('college_ready_graduates_english_two_or_more_races_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of college ready graduates of two or more races in English')), ('college_ready_graduates_english_white_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of college ready white graduates in English')), ('college_ready_graduates_english_economically_disadvantaged_percent', models.FloatField(blank=True, db_column='college_ready_graduates_english_econ_disadv_percent', null=True, verbose_name='Percent of college ready economically disadvantaged graduates in English')), ('college_ready_graduates_english_limited_english_proficient_percent', models.FloatField(blank=True, db_column='college_ready_graduates_english_lep_percent', null=True, verbose_name='Percent of college ready limited english proficient graduates in English')), ('college_ready_graduates_english_at_risk_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of college ready at risk graduates in English')), ('college_ready_graduates_math_all_students_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of college ready students in math')), ('college_ready_graduates_math_african_american_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of college ready African American graduates in math')), ('college_ready_graduates_math_asian_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of college ready Asian graduates in math')), ('college_ready_graduates_math_hispanic_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of college ready Hispanic graduates in math')), ('college_ready_graduates_math_american_indian_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of college ready American Indian graduates in math')), ('college_ready_graduates_math_pacific_islander_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of college ready Pacific Islander graduates in math')), ('college_ready_graduates_math_two_or_more_races_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of college ready graduages of two or more races in math')), ('college_ready_graduates_math_white_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of college ready white graduates in math')), ('college_ready_graduates_math_economically_disadvantaged_percent', models.FloatField(blank=True, db_column='college_ready_graduates_math_econ_disadv_percent', null=True, verbose_name='Percent of college ready economically disadvantaged graduates in math')), ('college_ready_graduates_math_limited_english_proficient_percent', models.FloatField(blank=True, db_column='college_ready_graduates_math_lep_percent', null=True, verbose_name='Percent of college ready limited english proficient graduates in math')), ('college_ready_graduates_math_at_risk_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of college ready at risk graduates in math')), ('college_ready_graduates_both_all_students_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of college ready students in both subjects')), ('college_ready_graduates_both_african_american_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of college ready african american graduates in both subjects')), ('college_ready_graduates_both_asian_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of college ready Asian graduates in both subjects')), ('college_ready_graduates_both_hispanic_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of college ready Hispanic graduates in both subjects')), ('college_ready_graduates_both_american_indian_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of college ready American Indian graduates in both subjects')), ('college_ready_graduates_both_pacific_islander_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of college ready Pacific Islander graduates in both subjects')), ('college_ready_graduates_both_two_or_more_races_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of college ready graduates of two or more races in both subjects')), ('college_ready_graduates_both_white_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of college ready white graduates in both subjects')), ('college_ready_graduates_both_economically_disadvantaged_percent', models.FloatField(blank=True, db_column='college_ready_graduates_both_econ_disadv_percent', null=True, verbose_name='Percent of college ready economically disadvantaged graduates in both subjects')), ('college_ready_graduates_both_limited_english_proficient_percent', models.FloatField(blank=True, db_column='college_ready_graduates_both_lep_percent', null=True, verbose_name='Percent of college ready limited english proficient graduates in both subjects')), ('college_ready_graduates_both_at_risk_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of college ready at risk graduates in both subjects')), ('avg_sat_score_all_students', models.IntegerField(blank=True, null=True, verbose_name='Average SAT score for all students')), ('avg_sat_score_african_american', models.IntegerField(blank=True, null=True, verbose_name='Average SAT score for African American students')), ('avg_sat_score_asian', models.IntegerField(blank=True, null=True, verbose_name='Average SAT score for Asian students')), ('avg_sat_score_hispanic', models.IntegerField(blank=True, null=True, verbose_name='Average SAT score for Hispanic students')), ('avg_sat_score_american_indian', models.IntegerField(blank=True, null=True, verbose_name='Average SAT score for American Indian students')), ('avg_sat_score_pacific_islander', models.IntegerField(blank=True, null=True, verbose_name='Average SAT score for Pacific Islander students')), ('avg_sat_score_two_or_more_races', models.IntegerField(blank=True, null=True, verbose_name='Average SAT score for students of two or more races')), ('avg_sat_score_white', models.IntegerField(blank=True, null=True, verbose_name='Average SAT score for white students')), ('avg_sat_score_economically_disadvantaged', models.IntegerField(blank=True, null=True, verbose_name='Average SAT score for economically disadvantaged students')), ('avg_act_score_all_students', models.FloatField(blank=True, null=True, verbose_name='Average ACT score for all students')), ('avg_act_score_african_american', models.FloatField(blank=True, null=True, verbose_name='Average ACT score for African American students')), ('avg_act_score_asian', models.FloatField(blank=True, null=True, verbose_name='Average ACT score for Asian students')), ('avg_act_score_hispanic', models.FloatField(blank=True, null=True, verbose_name='Average ACT score for Hispanic students')), ('avg_act_score_american_indian', models.FloatField(blank=True, null=True, verbose_name='Average ACT score for American Indian students')), ('avg_act_score_pacific_islander', models.FloatField(blank=True, null=True, verbose_name='Average ACT score for Pacific Islander students')), ('avg_act_score_two_or_more_races', models.FloatField(blank=True, null=True, verbose_name='Average ACT score for students of two or more races')), ('avg_act_score_white', models.FloatField(blank=True, null=True, verbose_name='Average ACT score for white students')), ('avg_act_score_economically_disadvantaged', models.FloatField(blank=True, null=True, verbose_name='Average ACT score for economically disadvantaged students')), ('ap_ib_all_students_count_above_criterion', models.IntegerField(blank=True, null=True, verbose_name='Number of students who scored above criterion onat least one AP or IB test')), ('ap_ib_african_american_count_above_criterion', models.IntegerField(blank=True, null=True, verbose_name='Number of African American students who scored abovecriterion on at least one AP or IB test')), ('ap_ib_asian_count_above_criterion', models.IntegerField(blank=True, null=True, verbose_name='Number of Asian students who scored abovecriterion on at least one AP or IB test')), ('ap_ib_hispanic_count_above_criterion', models.IntegerField(blank=True, null=True, verbose_name='Number of Hispanic students who scored abovecriterion on at least one AP or IB test')), ('ap_ib_american_indian_count_above_criterion', models.IntegerField(blank=True, null=True, verbose_name='Number of American Insian students who scored abovecriterion on at least one AP or IB test')), ('ap_ib_pacific_islander_count_above_criterion', models.IntegerField(blank=True, null=True, verbose_name='Number of Pacific Islander students who scored abovecriterion on at least one AP or IB test')), ('ap_ib_two_or_more_races_count_above_criterion', models.IntegerField(blank=True, null=True, verbose_name='Number of students of two or more races who scored abovecriterion on at least one AP or IB test')), ('ap_ib_white_count_above_criterion', models.IntegerField(blank=True, null=True, verbose_name='Number of white students who scored abovecriterion on at least one AP or IB test')), ('ap_ib_economically_disadvantaged_count_above_criterion', models.IntegerField(blank=True, null=True, verbose_name='Number of white students who scored abovecriterion on at least one AP or IB test')), ('ap_ib_all_students_percent_above_criterion', models.FloatField(blank=True, null=True, verbose_name='Percent of students who scored above criterion onat least one AP or IB test')), ('ap_ib_african_american_percent_above_criterion', models.FloatField(blank=True, null=True, verbose_name='Percent of African American students who scored abovecriterion on at least one AP or IB test')), ('ap_ib_asian_percent_above_criterion', models.FloatField(blank=True, null=True, verbose_name='Percent of Asian students who scored abovecriterion on at least one AP or IB test')), ('ap_ib_hispanic_percent_above_criterion', models.FloatField(blank=True, null=True, verbose_name='Percent of Hispanic students who scored abovecriterion on at least one AP or IB test')), ('ap_ib_american_indian_percent_above_criterion', models.FloatField(blank=True, null=True, verbose_name='Percent of American Insian students who scored abovecriterion on at least one AP or IB test')), ('ap_ib_pacific_islander_percent_above_criterion', models.FloatField(blank=True, null=True, verbose_name='Percent of Pacific Islander students who scored abovecriterion on at least one AP or IB test')), ('ap_ib_two_or_more_races_percent_above_criterion', models.FloatField(blank=True, null=True, verbose_name='Percent of students of two or more races who scored abovecriterion on at least one AP or IB test')), ('ap_ib_white_percent_above_criterion', models.FloatField(blank=True, null=True, verbose_name='Percent of white students who scored abovecriterion on at least one AP or IB test')), ('ap_ib_economically_disadvantaged_percent_above_criterion', models.FloatField(blank=True, null=True, verbose_name='Percent of economically disadvantaged students whoscored above criterion on at least one AP or IB test')), ('ap_ib_all_students_percent_taking', models.FloatField(blank=True, null=True, verbose_name='Percent of students taking at least oneAP or IB test')), ('ap_ib_african_american_percent_taking', models.FloatField(blank=True, null=True, verbose_name='Percent of African American students taking at least oneAP or IB test')), ('ap_ib_asian_percent_taking', models.FloatField(blank=True, null=True, verbose_name='Percent of Asian students taking at least oneAP or IB test')), ('ap_ib_hispanic_percent_taking', models.FloatField(blank=True, null=True, verbose_name='Percent of Hispanic students taking at least oneAP or IB test')), ('ap_ib_american_indian_percent_taking', models.FloatField(blank=True, null=True, verbose_name='Percent of American Insian students taking at least oneAP or IB test')), ('ap_ib_pacific_islander_percent_taking', models.FloatField(blank=True, null=True, verbose_name='Percent of Pacific Islander students taking at least oneAP or IB test')), ('ap_ib_two_or_more_races_percent_taking', models.FloatField(blank=True, null=True, verbose_name='Percent of students of two or more races taking at least oneAP or IB test')), ('ap_ib_white_percent_taking', models.FloatField(blank=True, null=True, verbose_name='Percent of white students taking at least oneAP or IB test')), ('ap_ib_economically_disadvantaged_percent_taking', models.FloatField(blank=True, null=True, verbose_name='Percent of economically disadvantaged students takingat least one AP or IB test')), ('dropout_all_students_count', models.IntegerField(blank=True, null=True, verbose_name='Number of 9-12 students who dropped out')), ('dropout_african_american_count', models.IntegerField(blank=True, null=True, verbose_name='Number of 9-12 African American students who dropped out')), ('dropout_american_indian_count', models.IntegerField(blank=True, null=True, verbose_name='Number of 9-12 American Indian students who dropped out')), ('dropout_asian_count', models.IntegerField(blank=True, null=True, verbose_name='Number of 9-12 Asian students who dropped out')), ('dropout_hispanic_count', models.IntegerField(blank=True, null=True, verbose_name='Number of 9-12 Hispanic students who dropped out')), ('dropout_pacific_islander_count', models.IntegerField(blank=True, null=True, verbose_name='Number of 9-12 Pacific Islander students who dropped out')), ('dropout_two_or_more_races_count', models.IntegerField(blank=True, null=True, verbose_name='Number of 9-12 students of two or more races who dropped out')), ('dropout_white_count', models.IntegerField(blank=True, null=True, verbose_name='Number of 9-12 white students who dropped out')), ('dropout_at_risk_count', models.IntegerField(blank=True, null=True, verbose_name='Number of 9-12 white students who dropped out')), ('dropout_economically_disadvantaged_count', models.IntegerField(blank=True, null=True, verbose_name='Number of 9-12 economically disadvantaged students who dropped out')), ('dropout_limited_english_proficient_count', models.IntegerField(blank=True, null=True, verbose_name='Number of 9-12 limited English proficient students who dropped out')), ('dropout_all_students_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of 9-12 students who dropped out')), ('dropout_african_american_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of 9-12 African American students who dropped out')), ('dropout_american_indian_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of 9-12 American Indian students who dropped out')), ('dropout_asian_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of 9-12 Asian students who dropped out')), ('dropout_hispanic_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of 9-12 Hispanic students who dropped out')), ('dropout_pacific_islander_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of 9-12 Pacific Islander students who dropped out')), ('dropout_two_or_more_races_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of 9-12 students of two or more races who dropped out')), ('dropout_white_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of 9-12 white students who dropped out')), ('dropout_at_risk_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of 9-12 at risk students who dropped out')), ('dropout_economically_disadvantaged_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of 9-12 economically disadvantaged students who dropped out')), ('dropout_limited_english_proficient_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of 9-12 limited English proficient students who dropped out')), ('four_year_graduate_all_students_count', models.IntegerField(blank=True, null=True, verbose_name='Number of students who graduated in 4 years')), ('four_year_graduate_african_american_count', models.IntegerField(blank=True, null=True, verbose_name='Number of African American students who graduated in 4 years')), ('four_year_graduate_american_indian_count', models.IntegerField(blank=True, null=True, verbose_name='Number of American Indian students who graduated in 4 years')), ('four_year_graduate_asian_count', models.IntegerField(blank=True, null=True, verbose_name='Number of Asian students who graduated in 4 years')), ('four_year_graduate_hispanic_count', models.IntegerField(blank=True, null=True, verbose_name='Number of Hispanic students who graduated in 4 years')), ('four_year_graduate_pacific_islander_count', models.IntegerField(blank=True, null=True, verbose_name='Number of Pacific Islander students who graduated in 4 years')), ('four_year_graduate_two_or_more_races_count', models.IntegerField(blank=True, null=True, verbose_name='Number of students of two or more races who graduated in 4 years')), ('four_year_graduate_white_count', models.IntegerField(blank=True, null=True, verbose_name='Number of white students who graduated in 4 years')), ('four_year_graduate_at_risk_count', models.IntegerField(blank=True, null=True, verbose_name='Number of at risk students who graduated in 4 years')), ('four_year_graduate_economically_disadvantaged_count', models.IntegerField(blank=True, null=True, verbose_name='Number of economically disadvantaged students who graduated in 4 years')), ('four_year_graduate_limited_english_proficient_count', models.IntegerField(blank=True, null=True, verbose_name='Number of limited English proficient students who graduated in 4 years')), ('four_year_graduate_all_students_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of students who graduated in 4 years')), ('four_year_graduate_african_american_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of African American students who graduated in 4 years')), ('four_year_graduate_american_indian_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of American Indian students who graduated in 4 years')), ('four_year_graduate_asian_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of Asian students who graduated in 4 years')), ('four_year_graduate_hispanic_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of Hispanic students who graduated in 4 years')), ('four_year_graduate_pacific_islander_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of Pacific Islander students who graduated in 4 years')), ('four_year_graduate_two_or_more_races_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of students of two or more races who graduated in 4 years')), ('four_year_graduate_white_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of white students who graduated in 4 years')), ('four_year_graduate_at_risk_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of at risk students who graduated in 4 years')), ('four_year_graduate_economically_disadvantaged_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of economically disadvantaged students who graduated in 4 years')), ('four_year_graduate_limited_english_proficient_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of limited English proficient students who graduated in 4 years')), ('attendance_rate', models.FloatField(blank=True, null=True, verbose_name='Attendance rate as calculated by students present over students in membership')), ('state', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='stats', to='states.State')), ('year', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='state_stats', to='stats.SchoolYear')), ], options={ 'verbose_name_plural': 'State stats', }, ), migrations.AddField( model_name='commissioner', name='state', field=models.OneToOneField(on_delete=django.db.models.deletion.CASCADE, related_name='commissioner_of', to='states.State'), ), migrations.AlterUniqueTogether( name='statestats', unique_together=set([('state', 'year')]), ), ]

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from __future__ import unicode_literals import django.contrib.gis.db.models.fields from django.db import migrations, models import django.db.models.deletion import localflavor.us.models import phonenumber_field.modelfields class Migration(migrations.Migration): initial = True dependencies = [ ('stats', '0002_auto_20151109_0319'), ] operations = [ migrations.CreateModel( name='Commissioner', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=254, verbose_name='Name of personnel')), ('role', models.CharField(max_length=100, verbose_name='Role of personnel')), ('email', models.EmailField(max_length=254, verbose_name='Email of personnel')), ('phone_number', phonenumber_field.modelfields.PhoneNumberField(max_length=20, verbose_name='Phone number of personnel')), ('phone_number_extension', models.CharField(blank=True, default='', max_length=4, verbose_name='Phone number extension')), ('fax_number', phonenumber_field.modelfields.PhoneNumberField(max_length=20, verbose_name='Fax number of personnel')), ('fax_number_extension', models.CharField(blank=True, default='', max_length=4, verbose_name='Fax number extension')), ], options={ 'abstract': False, }, ), migrations.CreateModel( name='State', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', localflavor.us.models.USStateField(choices=[('AL', 'Alabama'), ('AK', 'Alaska'), ('AS', 'American Samoa'), ('AZ', 'Arizona'), ('AR', 'Arkansas'), ('AA', 'Armed Forces Americas'), ('AE', 'Armed Forces Europe'), ('AP', 'Armed Forces Pacific'), ('CA', 'California'), ('CO', 'Colorado'), ('CT', 'Connecticut'), ('DE', 'Delaware'), ('DC', 'District of Columbia'), ('FL', 'Florida'), ('GA', 'Georgia'), ('GU', 'Guam'), ('HI', 'Hawaii'), ('ID', 'Idaho'), ('IL', 'Illinois'), ('IN', 'Indiana'), ('IA', 'Iowa'), ('KS', 'Kansas'), ('KY', 'Kentucky'), ('LA', 'Louisiana'), ('ME', 'Maine'), ('MD', 'Maryland'), ('MA', 'Massachusetts'), ('MI', 'Michigan'), ('MN', 'Minnesota'), ('MS', 'Mississippi'), ('MO', 'Missouri'), ('MT', 'Montana'), ('NE', 'Nebraska'), ('NV', 'Nevada'), ('NH', 'New Hampshire'), ('NJ', 'New Jersey'), ('NM', 'New Mexico'), ('NY', 'New York'), ('NC', 'North Carolina'), ('ND', 'North Dakota'), ('MP', 'Northern Mariana Islands'), ('OH', 'Ohio'), ('OK', 'Oklahoma'), ('OR', 'Oregon'), ('PA', 'Pennsylvania'), ('PR', 'Puerto Rico'), ('RI', 'Rhode Island'), ('SC', 'South Carolina'), ('SD', 'South Dakota'), ('TN', 'Tennessee'), ('TX', 'Texas'), ('UT', 'Utah'), ('VT', 'Vermont'), ('VI', 'Virgin Islands'), ('VA', 'Virginia'), ('WA', 'Washington'), ('WV', 'West Virginia'), ('WI', 'Wisconsin'), ('WY', 'Wyoming')], max_length=2, verbose_name='State name')), ('slug', models.SlugField()), ('shape', django.contrib.gis.db.models.fields.MultiPolygonField(null=True, srid=4326, verbose_name='State shape')), ], ), migrations.CreateModel( name='StateStats', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('all_students_count', models.IntegerField(blank=True, null=True, verbose_name='Number of students')), ('african_american_count', models.IntegerField(blank=True, null=True, verbose_name='Number of African American students')), ('american_indian_count', models.IntegerField(blank=True, null=True, verbose_name='Number of American Indian students')), ('asian_count', models.IntegerField(blank=True, null=True, verbose_name='Number of Asian students')), ('hispanic_count', models.IntegerField(blank=True, null=True, verbose_name='Number of Hispanic students')), ('pacific_islander_count', models.IntegerField(blank=True, null=True, verbose_name='Number of Pacific Islander students')), ('two_or_more_races_count', models.IntegerField(blank=True, null=True, verbose_name='Number of Two or More Races students')), ('white_count', models.IntegerField(blank=True, null=True, verbose_name='Number of White students')), ('early_childhood_education_count', models.IntegerField(blank=True, null=True, verbose_name='Number of early childhood education students')), ('prek_count', models.IntegerField(blank=True, null=True, verbose_name='Number of pre-K students')), ('kindergarten_count', models.IntegerField(blank=True, null=True, verbose_name='Number of kindergarten students')), ('first_count', models.IntegerField(blank=True, null=True, verbose_name='Number of first grade students')), ('second_count', models.IntegerField(blank=True, null=True, verbose_name='Number of second grade students')), ('third_count', models.IntegerField(blank=True, null=True, verbose_name='Number of third grade students')), ('fourth_count', models.IntegerField(blank=True, null=True, verbose_name='Number of fourth grade students')), ('fifth_count', models.IntegerField(blank=True, null=True, verbose_name='Number of fifth grade students')), ('sixth_count', models.IntegerField(blank=True, null=True, verbose_name='Number of sixth grade students')), ('seventh_count', models.IntegerField(blank=True, null=True, verbose_name='Number of seventh grade students')), ('eighth_count', models.IntegerField(blank=True, null=True, verbose_name='Number of eigth grade students')), ('ninth_count', models.IntegerField(blank=True, null=True, verbose_name='Number of ninth grade students')), ('tenth_count', models.IntegerField(blank=True, null=True, verbose_name='Number of tenth grade students')), ('eleventh_count', models.IntegerField(blank=True, null=True, verbose_name='Number of eleventh grade students')), ('twelfth_count', models.IntegerField(blank=True, null=True, verbose_name='Number of twelfth grade students')), ('at_risk_count', models.IntegerField(blank=True, null=True, verbose_name='Number of at risk students')), ('economically_disadvantaged_count', models.IntegerField(blank=True, null=True, verbose_name='Number of economically disadvantaged students')), ('limited_english_proficient_count', models.IntegerField(blank=True, null=True, verbose_name='Number of limited English proficient students')), ('african_american_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of African American students')), ('american_indian_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of American Indian students')), ('asian_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of Asian students')), ('hispanic_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of Hispanic students')), ('pacific_islander_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of Pacific Islander students')), ('two_or_more_races_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of Two or More Races students')), ('white_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of White students')), ('early_childhood_education_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of early childhood education students')), ('prek_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of pre-K students')), ('kindergarten_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of kindergarten students')), ('first_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of first grade students')), ('second_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of second grade students')), ('third_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of third grade students')), ('fourth_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of fourth grade students')), ('fifth_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of fifth grade students')), ('sixth_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of sixth grade students')), ('seventh_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of seventh grade students')), ('eighth_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of eighth grade students')), ('ninth_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of ninth grade students')), ('tenth_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of tenth grade students')), ('eleventh_percent', models.FloatField(null=True, verbose_name='Percent of eleventh grade students')), ('twelfth_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of twelfth grade students')), ('at_risk_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of at risk students')), ('economically_disadvantaged_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of economically disadvantaged students')), ('limited_english_proficient_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of limited English proficient students')), ('bilingual_esl_count', models.IntegerField(blank=True, null=True, verbose_name='Number of students enrolled in bilingual/ESL program')), ('career_technical_education_count', models.IntegerField(blank=True, null=True, verbose_name='Number of students enrolled in career and technical education program')), ('gifted_and_talented_count', models.IntegerField(blank=True, null=True, verbose_name='Number of students enrolled in gifted and talented program')), ('special_education_count', models.IntegerField(blank=True, null=True, verbose_name='Number of students enrolled in special education program')), ('bilingual_esl_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of students enrolled in bilingual/ESL program')), ('career_technical_education_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of students enrolled in career and technical education program')), ('gifted_and_talented_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of students enrolled in gifted and talented program')), ('special_education_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of students enrolled in special education program')), ('class_size_avg_kindergarten', models.FloatField(blank=True, null=True, verbose_name='Average kindergarten grade class size')), ('class_size_avg_first', models.FloatField(blank=True, null=True, verbose_name='Average first grade class size')), ('class_size_avg_second', models.FloatField(blank=True, null=True, verbose_name='Average second grade class size')), ('class_size_avg_third', models.FloatField(blank=True, null=True, verbose_name='Average third grade class size')), ('class_size_avg_fourth', models.FloatField(blank=True, null=True, verbose_name='Average fourth grade class size')), ('class_size_avg_fifth', models.FloatField(blank=True, null=True, verbose_name='Average fifth grade class size')), ('class_size_avg_sixth', models.FloatField(blank=True, null=True, verbose_name='Average sixth grade class size')), ('class_size_avg_mixed_elementary', models.FloatField(blank=True, null=True, verbose_name='Average mixed elementary class size')), ('class_size_avg_secondary_english', models.FloatField(blank=True, null=True, verbose_name='Average secondary English class size')), ('class_size_avg_secondary_foreign_language', models.FloatField(blank=True, null=True, verbose_name='Average secondary foreign language class size')), ('class_size_avg_secondary_math', models.FloatField(blank=True, null=True, verbose_name='Average secondary math class size')), ('class_size_avg_secondary_science', models.FloatField(blank=True, null=True, verbose_name='Average secondary science class size')), ('class_size_avg_secondary_social_studies', models.FloatField(blank=True, null=True, verbose_name='Average secondary social studies class size')), ('students_per_teacher', models.FloatField(blank=True, null=True, verbose_name='Number of students per teacher')), ('teacher_avg_tenure', models.FloatField(blank=True, null=True, verbose_name='Average tenure of teachers at entity')), ('teacher_avg_experience', models.FloatField(blank=True, null=True, verbose_name='Average years of experience at entity')), ('teacher_avg_base_salary', models.DecimalField(blank=True, decimal_places=2, max_digits=10, null=True, verbose_name='Average teacher salary at entity')), ('teacher_avg_beginning_salary', models.DecimalField(blank=True, decimal_places=2, max_digits=10, null=True, verbose_name='Average teacher beginning salary at entity')), ('teacher_avg_1_to_5_year_salary', models.DecimalField(blank=True, decimal_places=2, max_digits=10, null=True, verbose_name='Average salary for teachers with 1-5 years experience')), ('teacher_avg_6_to_10_year_salary', models.DecimalField(blank=True, decimal_places=2, max_digits=10, null=True, verbose_name='Average salary for teachers with 6-10 years experience')), ('teacher_avg_11_to_20_year_salary', models.DecimalField(blank=True, decimal_places=2, max_digits=10, null=True, verbose_name='Average salary for teachers with 11-20 years experience')), ('teacher_avg_20_plus_year_salary', models.DecimalField(blank=True, decimal_places=2, max_digits=10, null=True, verbose_name='Average salary for teachers with over 20 years experience')), ('college_ready_graduates_english_all_students_count', models.IntegerField(blank=True, null=True, verbose_name='Number of college ready students in English')), ('college_ready_graduates_english_african_american_count', models.IntegerField(blank=True, null=True, verbose_name='Number of college ready African American graduates in English')), ('college_ready_graduates_english_asian_count', models.IntegerField(blank=True, null=True, verbose_name='Number of college ready Asian graduates in English')), ('college_ready_graduates_english_hispanic_count', models.IntegerField(blank=True, null=True, verbose_name='Number of college ready Hispanic graduates in English')), ('college_ready_graduates_english_american_indian_count', models.IntegerField(blank=True, null=True, verbose_name='Number of college ready American Indian graduates in English')), ('college_ready_graduates_english_pacific_islander_count', models.IntegerField(blank=True, null=True, verbose_name='Number of college ready Pacific Islander graduates in English')), ('college_ready_graduates_english_two_or_more_races_count', models.IntegerField(blank=True, null=True, verbose_name='Number of college ready graduates of two or more races in English')), ('college_ready_graduates_english_white_count', models.IntegerField(blank=True, null=True, verbose_name='Number of college ready white graduates in English')), ('college_ready_graduates_english_economically_disadvantaged_count', models.IntegerField(blank=True, db_column='college_ready_graduates_english_econ_disadv_count', null=True, verbose_name='Number of college ready economically disadvantaged graduates in English')), ('college_ready_graduates_english_limited_english_proficient_count', models.IntegerField(blank=True, db_column='college_ready_graduates_english_lep_count', null=True, verbose_name='Number of college ready limited english proficient graduates in English')), ('college_ready_graduates_english_at_risk_count', models.IntegerField(blank=True, null=True, verbose_name='Number of college ready at risk graduates in English')), ('college_ready_graduates_math_all_students_count', models.IntegerField(blank=True, null=True, verbose_name='Number of college ready students in math')), ('college_ready_graduates_math_african_american_count', models.IntegerField(blank=True, null=True, verbose_name='Number of college ready African American graduates in math')), ('college_ready_graduates_math_asian_count', models.IntegerField(blank=True, null=True, verbose_name='Number of college ready Asian graduates in math')), ('college_ready_graduates_math_hispanic_count', models.IntegerField(blank=True, null=True, verbose_name='Number of college ready Hispanic graduates in math')), ('college_ready_graduates_math_american_indian_count', models.IntegerField(blank=True, null=True, verbose_name='Number of college ready American Indian graduates in math')), ('college_ready_graduates_math_pacific_islander_count', models.IntegerField(blank=True, null=True, verbose_name='Number of college ready Pacific Islander graduates in math')), ('college_ready_graduates_math_two_or_more_races_count', models.IntegerField(blank=True, null=True, verbose_name='Number of college ready graduages of two or more races in math')), ('college_ready_graduates_math_white_count', models.IntegerField(blank=True, null=True, verbose_name='Number of college ready white graduates in math')), ('college_ready_graduates_math_economically_disadvantaged_count', models.IntegerField(blank=True, db_column='college_ready_graduates_math_econ_disadv_count', null=True, verbose_name='Number of college ready economically disadvantaged graduates in math')), ('college_ready_graduates_math_limited_english_proficient_count', models.IntegerField(blank=True, db_column='college_ready_graduates_math_lep_count', null=True, verbose_name='Number of college ready limited english proficient graduates in math')), ('college_ready_graduates_math_at_risk_count', models.IntegerField(blank=True, null=True, verbose_name='Number of college ready at risk graduates in math')), ('college_ready_graduates_both_all_students_count', models.IntegerField(blank=True, null=True, verbose_name='Number of college ready graduates in both subjects')), ('college_ready_graduates_both_african_american_count', models.IntegerField(blank=True, null=True, verbose_name='Number of college ready african american graduates in both subjects')), ('college_ready_graduates_both_asian_count', models.IntegerField(blank=True, null=True, verbose_name='Number of college ready Asian graduates in both subjects')), ('college_ready_graduates_both_hispanic_count', models.IntegerField(blank=True, null=True, verbose_name='Number of college ready Hispanic graduates in both subjects')), ('college_ready_graduates_both_american_indian_count', models.IntegerField(blank=True, null=True, verbose_name='Number of college ready American Indian graduates in both subjects')), ('college_ready_graduates_both_pacific_islander_count', models.IntegerField(blank=True, null=True, verbose_name='Number of college ready Pacific Islander graduates in both subjects')), ('college_ready_graduates_both_two_or_more_races_count', models.IntegerField(blank=True, null=True, verbose_name='Number of college ready graduates of two or more races in both subjects')), ('college_ready_graduates_both_white_count', models.IntegerField(blank=True, null=True, verbose_name='Number of college ready white graduates in both subjects')), ('college_ready_graduates_both_economically_disadvantaged_count', models.IntegerField(blank=True, db_column='college_ready_graduates_both_econ_disadv_count', null=True, verbose_name='Number of college ready economically disadvantaged graduates in both subjects')), ('college_ready_graduates_both_limited_english_proficient_count', models.IntegerField(blank=True, db_column='college_ready_graduates_both_lep_count', null=True, verbose_name='Number of college ready limited english proficient graduates in both subjects')), ('college_ready_graduates_both_at_risk_count', models.IntegerField(blank=True, null=True, verbose_name='Number of college ready at risk graduates in both')), ('college_ready_graduates_english_all_students_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of college ready graduates in English')), ('college_ready_graduates_english_african_american_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of college ready African American graduates in English')), ('college_ready_graduates_english_asian_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of college ready Asian graduates in English')), ('college_ready_graduates_english_hispanic_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of college ready Hispanic graduates in English')), ('college_ready_graduates_english_american_indian_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of college ready American Indian graduates in english')), ('college_ready_graduates_english_pacific_islander_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of college ready Pacific Islander graduates in English')), ('college_ready_graduates_english_two_or_more_races_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of college ready graduates of two or more races in English')), ('college_ready_graduates_english_white_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of college ready white graduates in English')), ('college_ready_graduates_english_economically_disadvantaged_percent', models.FloatField(blank=True, db_column='college_ready_graduates_english_econ_disadv_percent', null=True, verbose_name='Percent of college ready economically disadvantaged graduates in English')), ('college_ready_graduates_english_limited_english_proficient_percent', models.FloatField(blank=True, db_column='college_ready_graduates_english_lep_percent', null=True, verbose_name='Percent of college ready limited english proficient graduates in English')), ('college_ready_graduates_english_at_risk_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of college ready at risk graduates in English')), ('college_ready_graduates_math_all_students_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of college ready students in math')), ('college_ready_graduates_math_african_american_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of college ready African American graduates in math')), ('college_ready_graduates_math_asian_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of college ready Asian graduates in math')), ('college_ready_graduates_math_hispanic_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of college ready Hispanic graduates in math')), ('college_ready_graduates_math_american_indian_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of college ready American Indian graduates in math')), ('college_ready_graduates_math_pacific_islander_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of college ready Pacific Islander graduates in math')), ('college_ready_graduates_math_two_or_more_races_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of college ready graduages of two or more races in math')), ('college_ready_graduates_math_white_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of college ready white graduates in math')), ('college_ready_graduates_math_economically_disadvantaged_percent', models.FloatField(blank=True, db_column='college_ready_graduates_math_econ_disadv_percent', null=True, verbose_name='Percent of college ready economically disadvantaged graduates in math')), ('college_ready_graduates_math_limited_english_proficient_percent', models.FloatField(blank=True, db_column='college_ready_graduates_math_lep_percent', null=True, verbose_name='Percent of college ready limited english proficient graduates in math')), ('college_ready_graduates_math_at_risk_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of college ready at risk graduates in math')), ('college_ready_graduates_both_all_students_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of college ready students in both subjects')), ('college_ready_graduates_both_african_american_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of college ready african american graduates in both subjects')), ('college_ready_graduates_both_asian_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of college ready Asian graduates in both subjects')), ('college_ready_graduates_both_hispanic_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of college ready Hispanic graduates in both subjects')), ('college_ready_graduates_both_american_indian_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of college ready American Indian graduates in both subjects')), ('college_ready_graduates_both_pacific_islander_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of college ready Pacific Islander graduates in both subjects')), ('college_ready_graduates_both_two_or_more_races_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of college ready graduates of two or more races in both subjects')), ('college_ready_graduates_both_white_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of college ready white graduates in both subjects')), ('college_ready_graduates_both_economically_disadvantaged_percent', models.FloatField(blank=True, db_column='college_ready_graduates_both_econ_disadv_percent', null=True, verbose_name='Percent of college ready economically disadvantaged graduates in both subjects')), ('college_ready_graduates_both_limited_english_proficient_percent', models.FloatField(blank=True, db_column='college_ready_graduates_both_lep_percent', null=True, verbose_name='Percent of college ready limited english proficient graduates in both subjects')), ('college_ready_graduates_both_at_risk_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of college ready at risk graduates in both subjects')), ('avg_sat_score_all_students', models.IntegerField(blank=True, null=True, verbose_name='Average SAT score for all students')), ('avg_sat_score_african_american', models.IntegerField(blank=True, null=True, verbose_name='Average SAT score for African American students')), ('avg_sat_score_asian', models.IntegerField(blank=True, null=True, verbose_name='Average SAT score for Asian students')), ('avg_sat_score_hispanic', models.IntegerField(blank=True, null=True, verbose_name='Average SAT score for Hispanic students')), ('avg_sat_score_american_indian', models.IntegerField(blank=True, null=True, verbose_name='Average SAT score for American Indian students')), ('avg_sat_score_pacific_islander', models.IntegerField(blank=True, null=True, verbose_name='Average SAT score for Pacific Islander students')), ('avg_sat_score_two_or_more_races', models.IntegerField(blank=True, null=True, verbose_name='Average SAT score for students of two or more races')), ('avg_sat_score_white', models.IntegerField(blank=True, null=True, verbose_name='Average SAT score for white students')), ('avg_sat_score_economically_disadvantaged', models.IntegerField(blank=True, null=True, verbose_name='Average SAT score for economically disadvantaged students')), ('avg_act_score_all_students', models.FloatField(blank=True, null=True, verbose_name='Average ACT score for all students')), ('avg_act_score_african_american', models.FloatField(blank=True, null=True, verbose_name='Average ACT score for African American students')), ('avg_act_score_asian', models.FloatField(blank=True, null=True, verbose_name='Average ACT score for Asian students')), ('avg_act_score_hispanic', models.FloatField(blank=True, null=True, verbose_name='Average ACT score for Hispanic students')), ('avg_act_score_american_indian', models.FloatField(blank=True, null=True, verbose_name='Average ACT score for American Indian students')), ('avg_act_score_pacific_islander', models.FloatField(blank=True, null=True, verbose_name='Average ACT score for Pacific Islander students')), ('avg_act_score_two_or_more_races', models.FloatField(blank=True, null=True, verbose_name='Average ACT score for students of two or more races')), ('avg_act_score_white', models.FloatField(blank=True, null=True, verbose_name='Average ACT score for white students')), ('avg_act_score_economically_disadvantaged', models.FloatField(blank=True, null=True, verbose_name='Average ACT score for economically disadvantaged students')), ('ap_ib_all_students_count_above_criterion', models.IntegerField(blank=True, null=True, verbose_name='Number of students who scored above criterion onat least one AP or IB test')), ('ap_ib_african_american_count_above_criterion', models.IntegerField(blank=True, null=True, verbose_name='Number of African American students who scored abovecriterion on at least one AP or IB test')), ('ap_ib_asian_count_above_criterion', models.IntegerField(blank=True, null=True, verbose_name='Number of Asian students who scored abovecriterion on at least one AP or IB test')), ('ap_ib_hispanic_count_above_criterion', models.IntegerField(blank=True, null=True, verbose_name='Number of Hispanic students who scored abovecriterion on at least one AP or IB test')), ('ap_ib_american_indian_count_above_criterion', models.IntegerField(blank=True, null=True, verbose_name='Number of American Insian students who scored abovecriterion on at least one AP or IB test')), ('ap_ib_pacific_islander_count_above_criterion', models.IntegerField(blank=True, null=True, verbose_name='Number of Pacific Islander students who scored abovecriterion on at least one AP or IB test')), ('ap_ib_two_or_more_races_count_above_criterion', models.IntegerField(blank=True, null=True, verbose_name='Number of students of two or more races who scored abovecriterion on at least one AP or IB test')), ('ap_ib_white_count_above_criterion', models.IntegerField(blank=True, null=True, verbose_name='Number of white students who scored abovecriterion on at least one AP or IB test')), ('ap_ib_economically_disadvantaged_count_above_criterion', models.IntegerField(blank=True, null=True, verbose_name='Number of white students who scored abovecriterion on at least one AP or IB test')), ('ap_ib_all_students_percent_above_criterion', models.FloatField(blank=True, null=True, verbose_name='Percent of students who scored above criterion onat least one AP or IB test')), ('ap_ib_african_american_percent_above_criterion', models.FloatField(blank=True, null=True, verbose_name='Percent of African American students who scored abovecriterion on at least one AP or IB test')), ('ap_ib_asian_percent_above_criterion', models.FloatField(blank=True, null=True, verbose_name='Percent of Asian students who scored abovecriterion on at least one AP or IB test')), ('ap_ib_hispanic_percent_above_criterion', models.FloatField(blank=True, null=True, verbose_name='Percent of Hispanic students who scored abovecriterion on at least one AP or IB test')), ('ap_ib_american_indian_percent_above_criterion', models.FloatField(blank=True, null=True, verbose_name='Percent of American Insian students who scored abovecriterion on at least one AP or IB test')), ('ap_ib_pacific_islander_percent_above_criterion', models.FloatField(blank=True, null=True, verbose_name='Percent of Pacific Islander students who scored abovecriterion on at least one AP or IB test')), ('ap_ib_two_or_more_races_percent_above_criterion', models.FloatField(blank=True, null=True, verbose_name='Percent of students of two or more races who scored abovecriterion on at least one AP or IB test')), ('ap_ib_white_percent_above_criterion', models.FloatField(blank=True, null=True, verbose_name='Percent of white students who scored abovecriterion on at least one AP or IB test')), ('ap_ib_economically_disadvantaged_percent_above_criterion', models.FloatField(blank=True, null=True, verbose_name='Percent of economically disadvantaged students whoscored above criterion on at least one AP or IB test')), ('ap_ib_all_students_percent_taking', models.FloatField(blank=True, null=True, verbose_name='Percent of students taking at least oneAP or IB test')), ('ap_ib_african_american_percent_taking', models.FloatField(blank=True, null=True, verbose_name='Percent of African American students taking at least oneAP or IB test')), ('ap_ib_asian_percent_taking', models.FloatField(blank=True, null=True, verbose_name='Percent of Asian students taking at least oneAP or IB test')), ('ap_ib_hispanic_percent_taking', models.FloatField(blank=True, null=True, verbose_name='Percent of Hispanic students taking at least oneAP or IB test')), ('ap_ib_american_indian_percent_taking', models.FloatField(blank=True, null=True, verbose_name='Percent of American Insian students taking at least oneAP or IB test')), ('ap_ib_pacific_islander_percent_taking', models.FloatField(blank=True, null=True, verbose_name='Percent of Pacific Islander students taking at least oneAP or IB test')), ('ap_ib_two_or_more_races_percent_taking', models.FloatField(blank=True, null=True, verbose_name='Percent of students of two or more races taking at least oneAP or IB test')), ('ap_ib_white_percent_taking', models.FloatField(blank=True, null=True, verbose_name='Percent of white students taking at least oneAP or IB test')), ('ap_ib_economically_disadvantaged_percent_taking', models.FloatField(blank=True, null=True, verbose_name='Percent of economically disadvantaged students takingat least one AP or IB test')), ('dropout_all_students_count', models.IntegerField(blank=True, null=True, verbose_name='Number of 9-12 students who dropped out')), ('dropout_african_american_count', models.IntegerField(blank=True, null=True, verbose_name='Number of 9-12 African American students who dropped out')), ('dropout_american_indian_count', models.IntegerField(blank=True, null=True, verbose_name='Number of 9-12 American Indian students who dropped out')), ('dropout_asian_count', models.IntegerField(blank=True, null=True, verbose_name='Number of 9-12 Asian students who dropped out')), ('dropout_hispanic_count', models.IntegerField(blank=True, null=True, verbose_name='Number of 9-12 Hispanic students who dropped out')), ('dropout_pacific_islander_count', models.IntegerField(blank=True, null=True, verbose_name='Number of 9-12 Pacific Islander students who dropped out')), ('dropout_two_or_more_races_count', models.IntegerField(blank=True, null=True, verbose_name='Number of 9-12 students of two or more races who dropped out')), ('dropout_white_count', models.IntegerField(blank=True, null=True, verbose_name='Number of 9-12 white students who dropped out')), ('dropout_at_risk_count', models.IntegerField(blank=True, null=True, verbose_name='Number of 9-12 white students who dropped out')), ('dropout_economically_disadvantaged_count', models.IntegerField(blank=True, null=True, verbose_name='Number of 9-12 economically disadvantaged students who dropped out')), ('dropout_limited_english_proficient_count', models.IntegerField(blank=True, null=True, verbose_name='Number of 9-12 limited English proficient students who dropped out')), ('dropout_all_students_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of 9-12 students who dropped out')), ('dropout_african_american_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of 9-12 African American students who dropped out')), ('dropout_american_indian_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of 9-12 American Indian students who dropped out')), ('dropout_asian_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of 9-12 Asian students who dropped out')), ('dropout_hispanic_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of 9-12 Hispanic students who dropped out')), ('dropout_pacific_islander_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of 9-12 Pacific Islander students who dropped out')), ('dropout_two_or_more_races_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of 9-12 students of two or more races who dropped out')), ('dropout_white_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of 9-12 white students who dropped out')), ('dropout_at_risk_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of 9-12 at risk students who dropped out')), ('dropout_economically_disadvantaged_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of 9-12 economically disadvantaged students who dropped out')), ('dropout_limited_english_proficient_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of 9-12 limited English proficient students who dropped out')), ('four_year_graduate_all_students_count', models.IntegerField(blank=True, null=True, verbose_name='Number of students who graduated in 4 years')), ('four_year_graduate_african_american_count', models.IntegerField(blank=True, null=True, verbose_name='Number of African American students who graduated in 4 years')), ('four_year_graduate_american_indian_count', models.IntegerField(blank=True, null=True, verbose_name='Number of American Indian students who graduated in 4 years')), ('four_year_graduate_asian_count', models.IntegerField(blank=True, null=True, verbose_name='Number of Asian students who graduated in 4 years')), ('four_year_graduate_hispanic_count', models.IntegerField(blank=True, null=True, verbose_name='Number of Hispanic students who graduated in 4 years')), ('four_year_graduate_pacific_islander_count', models.IntegerField(blank=True, null=True, verbose_name='Number of Pacific Islander students who graduated in 4 years')), ('four_year_graduate_two_or_more_races_count', models.IntegerField(blank=True, null=True, verbose_name='Number of students of two or more races who graduated in 4 years')), ('four_year_graduate_white_count', models.IntegerField(blank=True, null=True, verbose_name='Number of white students who graduated in 4 years')), ('four_year_graduate_at_risk_count', models.IntegerField(blank=True, null=True, verbose_name='Number of at risk students who graduated in 4 years')), ('four_year_graduate_economically_disadvantaged_count', models.IntegerField(blank=True, null=True, verbose_name='Number of economically disadvantaged students who graduated in 4 years')), ('four_year_graduate_limited_english_proficient_count', models.IntegerField(blank=True, null=True, verbose_name='Number of limited English proficient students who graduated in 4 years')), ('four_year_graduate_all_students_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of students who graduated in 4 years')), ('four_year_graduate_african_american_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of African American students who graduated in 4 years')), ('four_year_graduate_american_indian_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of American Indian students who graduated in 4 years')), ('four_year_graduate_asian_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of Asian students who graduated in 4 years')), ('four_year_graduate_hispanic_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of Hispanic students who graduated in 4 years')), ('four_year_graduate_pacific_islander_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of Pacific Islander students who graduated in 4 years')), ('four_year_graduate_two_or_more_races_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of students of two or more races who graduated in 4 years')), ('four_year_graduate_white_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of white students who graduated in 4 years')), ('four_year_graduate_at_risk_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of at risk students who graduated in 4 years')), ('four_year_graduate_economically_disadvantaged_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of economically disadvantaged students who graduated in 4 years')), ('four_year_graduate_limited_english_proficient_percent', models.FloatField(blank=True, null=True, verbose_name='Percent of limited English proficient students who graduated in 4 years')), ('attendance_rate', models.FloatField(blank=True, null=True, verbose_name='Attendance rate as calculated by students present over students in membership')), ('state', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='stats', to='states.State')), ('year', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='state_stats', to='stats.SchoolYear')), ], options={ 'verbose_name_plural': 'State stats', }, ), migrations.AddField( model_name='commissioner', name='state', field=models.OneToOneField(on_delete=django.db.models.deletion.CASCADE, related_name='commissioner_of', to='states.State'), ), migrations.AlterUniqueTogether( name='statestats', unique_together=set([('state', 'year')]), ), ]

true

f70d7b68bad3205d05eade7959132ed505598af3

2,678

py

Python

surfpy/swell.py

mjmayank1/surfpy

969b1a626db7606a42fab0eae445fcb351d6cbcd

[ "MIT" ]

46

2018-04-08T15:56:32.000Z

2022-01-05T17:36:55.000Z

surfpy/swell.py

mjmayank1/surfpy

969b1a626db7606a42fab0eae445fcb351d6cbcd

[ "MIT" ]

13

2017-08-15T13:12:10.000Z

2021-03-23T09:09:04.000Z

surfpy/swell.py

mjmayank1/surfpy

969b1a626db7606a42fab0eae445fcb351d6cbcd

[ "MIT" ]

15

2018-03-08T16:52:19.000Z

2021-12-27T21:17:37.000Z

from . import units from . import tools import math from .basedata import BaseData class Swell(BaseData): def __init__(self, unit, wave_height=float('nan'), period=float('nan'), direction=float('nan'), compass_direction=None, max_energy = 0, frequency_index = 0): super(Swell, self).__init__(unit) self.wave_height = wave_height self.period = period if not math.isnan(direction): self.direction = direction self.compass_direction = units.degree_to_direction(direction) elif compass_direction is not None: self.compass_direction = compass_direction self.direction = units.direction_to_degree(compass_direction) else: self.direction = float('nan') self.compass_direction = '' self.max_energy = max_energy self.frequency_index = frequency_index @property def summary(self): return '{0:.1f} {1} @ {2:.1f} s {3:.0f}\xb0 {4}'.format(self.wave_height, units.unit_name(self.unit, units.Measurement.length), self.period, self.direction, self.compass_direction) def is_valid(self): return not math.isnan(self.wave_height) and not math.isnan(self.period) and len(self.compass_direction) > 0 and not math.isnan(self.direction) def change_units(self, new_units): old_units = self.unit super(Swell, self).change_units(new_units) self.wave_height = units.convert(self.wave_height, units.Measurement.length, old_units, self.unit) def breaking_wave_estimate(self, beach_angle, depth, beach_slope): # Interpolates the approximate breaking wave heights using the contained swell data. Data must # be in metric units prior to calling this function. The depth argument must be in meters. if self.is_valid() is not True: return self.change_units(units.Units.metric) wave_breaking_height = 0.0 if self.wave_height < 1000: incident_angle = abs(self.direction - beach_angle) % 360 if incident_angle < 90: wave_breaking_height, _ = tools.breaking_characteristics(self.period, incident_angle, self.wave_height, beach_slope, depth) # Take the maximum breaking height and give it a scale factor of 0.9 for refraction # or anything we are not checking for. breaking_height = 0.8 * wave_breaking_height # For now assume this is significant wave height as the max and the rms as the min maximum_break_height = breaking_height minimum_break_height = breaking_height / 1.4 return minimum_break_height, maximum_break_height

41.84375

161

0.682226

from . import units from . import tools import math from .basedata import BaseData class Swell(BaseData): def __init__(self, unit, wave_height=float('nan'), period=float('nan'), direction=float('nan'), compass_direction=None, max_energy = 0, frequency_index = 0): super(Swell, self).__init__(unit) self.wave_height = wave_height self.period = period if not math.isnan(direction): self.direction = direction self.compass_direction = units.degree_to_direction(direction) elif compass_direction is not None: self.compass_direction = compass_direction self.direction = units.direction_to_degree(compass_direction) else: self.direction = float('nan') self.compass_direction = '' self.max_energy = max_energy self.frequency_index = frequency_index @property def summary(self): return '{0:.1f} {1} @ {2:.1f} s {3:.0f}\xb0 {4}'.format(self.wave_height, units.unit_name(self.unit, units.Measurement.length), self.period, self.direction, self.compass_direction) def is_valid(self): return not math.isnan(self.wave_height) and not math.isnan(self.period) and len(self.compass_direction) > 0 and not math.isnan(self.direction) def change_units(self, new_units): old_units = self.unit super(Swell, self).change_units(new_units) self.wave_height = units.convert(self.wave_height, units.Measurement.length, old_units, self.unit) def breaking_wave_estimate(self, beach_angle, depth, beach_slope): if self.is_valid() is not True: return self.change_units(units.Units.metric) wave_breaking_height = 0.0 if self.wave_height < 1000: incident_angle = abs(self.direction - beach_angle) % 360 if incident_angle < 90: wave_breaking_height, _ = tools.breaking_characteristics(self.period, incident_angle, self.wave_height, beach_slope, depth) breaking_height = 0.8 * wave_breaking_height maximum_break_height = breaking_height minimum_break_height = breaking_height / 1.4 return minimum_break_height, maximum_break_height

true

f70d7cec720092a8dea67ad7bd981efcb4e7c031

1,795

py

Python

2016/iker/day12/leonardo_s_monorail.py

bbglab/adventofcode

65b6d8331d10f229b59232882d60024b08d69294

[ "MIT" ]

null

2016/iker/day12/leonardo_s_monorail.py

bbglab/adventofcode

65b6d8331d10f229b59232882d60024b08d69294

[ "MIT" ]

null

2016/iker/day12/leonardo_s_monorail.py

bbglab/adventofcode

65b6d8331d10f229b59232882d60024b08d69294

[ "MIT" ]

3

2016-12-02T09:20:42.000Z

2021-12-01T13:31:07.000Z

""" Jordi explained that a recursive search may not work as you might first follow an extremely long path. Thus, the process should be done by levels """ import os from collections import defaultdict class Computer: def __init__(self): self.operations = {'cpy': self.copy, 'inc': self.add, 'dec': self.subs, 'jnz': self.jump} self.registers = defaultdict(int) self.instruction = 0 def run(self, program): while self.instruction < len(program): values = program[self.instruction].split(' ') self.operations[values[0]](*(values[1:])) self.instruction += 1 def get_val(self, v): try: return int(v) except ValueError: return self.registers[v] def copy(self, value, register): self.registers[register] = self.get_val(value) def add(self, register): self.registers[register] += 1 def subs(self, register): self.registers[register] -= 1 def jump(self, register, amount): if self.get_val(register) != 0: self.instruction += (int(amount) - 1) def get(self, register=None): if register is None: return self.registers else: return self.registers[register] if __name__ == '__main__': dir = os.path.dirname(__file__) file = os.path.join(dir, 'input.txt') program = [] with open(file) as fd: for line in fd: program.append(line.strip()) computer = Computer() computer.run(program) print('Part 1:', computer.get('a')) program = ['cpy 1 c'] + program computer = Computer() computer.run(program) print('Part 2:', computer.get('a'))

24.930556

98

0.573816

import os from collections import defaultdict class Computer: def __init__(self): self.operations = {'cpy': self.copy, 'inc': self.add, 'dec': self.subs, 'jnz': self.jump} self.registers = defaultdict(int) self.instruction = 0 def run(self, program): while self.instruction < len(program): values = program[self.instruction].split(' ') self.operations[values[0]](*(values[1:])) self.instruction += 1 def get_val(self, v): try: return int(v) except ValueError: return self.registers[v] def copy(self, value, register): self.registers[register] = self.get_val(value) def add(self, register): self.registers[register] += 1 def subs(self, register): self.registers[register] -= 1 def jump(self, register, amount): if self.get_val(register) != 0: self.instruction += (int(amount) - 1) def get(self, register=None): if register is None: return self.registers else: return self.registers[register] if __name__ == '__main__': dir = os.path.dirname(__file__) file = os.path.join(dir, 'input.txt') program = [] with open(file) as fd: for line in fd: program.append(line.strip()) computer = Computer() computer.run(program) print('Part 1:', computer.get('a')) program = ['cpy 1 c'] + program computer = Computer() computer.run(program) print('Part 2:', computer.get('a'))

true

f70d7d282ef478cf1ab83ced45acdc327b67c1fe

17,780

py

Python

tests/kafkatest/services/security/security_config.py

mtillu/kafka

78e18b575c6b4724afe6107371d70c46fb57d3d9

[ "Apache-2.0" ]

6

2021-06-11T15:06:15.000Z

2022-03-26T13:03:26.000Z

tests/kafkatest/services/security/security_config.py

mtillu/kafka

78e18b575c6b4724afe6107371d70c46fb57d3d9

[ "Apache-2.0" ]

15

2020-03-05T00:32:48.000Z

2022-02-16T00:55:24.000Z

tests/kafkatest/services/security/security_config.py

mtillu/kafka

78e18b575c6b4724afe6107371d70c46fb57d3d9

[ "Apache-2.0" ]

5

2021-06-11T15:16:25.000Z

2022-02-24T08:37:31.000Z

# Licensed to the Apache Software Foundation (ASF) under one or more # contributor license agreements. See the NOTICE file distributed with # this work for additional information regarding copyright ownership. # The ASF licenses this file to You under the Apache License, Version 2.0 # (the "License"); you may not use this file except in compliance with # the License. You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. import logging import os import subprocess from tempfile import mkdtemp from shutil import rmtree from ducktape.template import TemplateRenderer from kafkatest.services.security.minikdc import MiniKdc from kafkatest.services.security.listener_security_config import ListenerSecurityConfig import itertools class SslStores(object): def __init__(self, local_scratch_dir, logger=None): self.logger = logger self.ca_crt_path = os.path.join(local_scratch_dir, "test.ca.crt") self.ca_jks_path = os.path.join(local_scratch_dir, "test.ca.jks") self.ca_passwd = "test-ca-passwd" self.truststore_path = os.path.join(local_scratch_dir, "test.truststore.jks") self.truststore_passwd = "test-ts-passwd" self.keystore_passwd = "test-ks-passwd" # Zookeeper TLS (as of v3.5.6) does not support a key password different than the keystore password self.key_passwd = self.keystore_passwd # Allow upto one hour of clock skew between host and VMs self.startdate = "-1H" for file in [self.ca_crt_path, self.ca_jks_path, self.truststore_path]: if os.path.exists(file): os.remove(file) def generate_ca(self): """ Generate CA private key and certificate. """ self.runcmd("keytool -genkeypair -alias ca -keyalg RSA -keysize 2048 -keystore %s -storetype JKS -storepass %s -keypass %s -dname CN=SystemTestCA -startdate %s --ext bc=ca:true" % (self.ca_jks_path, self.ca_passwd, self.ca_passwd, self.startdate)) self.runcmd("keytool -export -alias ca -keystore %s -storepass %s -storetype JKS -rfc -file %s" % (self.ca_jks_path, self.ca_passwd, self.ca_crt_path)) def generate_truststore(self): """ Generate JKS truststore containing CA certificate. """ self.runcmd("keytool -importcert -alias ca -file %s -keystore %s -storepass %s -storetype JKS -noprompt" % (self.ca_crt_path, self.truststore_path, self.truststore_passwd)) def generate_and_copy_keystore(self, node): """ Generate JKS keystore with certificate signed by the test CA. The generated certificate has the node's hostname as a DNS SubjectAlternativeName. """ ks_dir = mkdtemp(dir="/tmp") ks_path = os.path.join(ks_dir, "test.keystore.jks") csr_path = os.path.join(ks_dir, "test.kafka.csr") crt_path = os.path.join(ks_dir, "test.kafka.crt") self.runcmd("keytool -genkeypair -alias kafka -keyalg RSA -keysize 2048 -keystore %s -storepass %s -storetype JKS -keypass %s -dname CN=systemtest -ext SAN=DNS:%s -startdate %s" % (ks_path, self.keystore_passwd, self.key_passwd, self.hostname(node), self.startdate)) self.runcmd("keytool -certreq -keystore %s -storepass %s -storetype JKS -keypass %s -alias kafka -file %s" % (ks_path, self.keystore_passwd, self.key_passwd, csr_path)) self.runcmd("keytool -gencert -keystore %s -storepass %s -storetype JKS -alias ca -infile %s -outfile %s -dname CN=systemtest -ext SAN=DNS:%s -startdate %s" % (self.ca_jks_path, self.ca_passwd, csr_path, crt_path, self.hostname(node), self.startdate)) self.runcmd("keytool -importcert -keystore %s -storepass %s -storetype JKS -alias ca -file %s -noprompt" % (ks_path, self.keystore_passwd, self.ca_crt_path)) self.runcmd("keytool -importcert -keystore %s -storepass %s -storetype JKS -keypass %s -alias kafka -file %s -noprompt" % (ks_path, self.keystore_passwd, self.key_passwd, crt_path)) node.account.copy_to(ks_path, SecurityConfig.KEYSTORE_PATH) # generate ZooKeeper client TLS config file for encryption-only (no client cert) use case str = """zookeeper.clientCnxnSocket=org.apache.zookeeper.ClientCnxnSocketNetty zookeeper.ssl.client.enable=true zookeeper.ssl.truststore.location=%s zookeeper.ssl.truststore.password=%s """ % (SecurityConfig.TRUSTSTORE_PATH, self.truststore_passwd) node.account.create_file(SecurityConfig.ZK_CLIENT_TLS_ENCRYPT_ONLY_CONFIG_PATH, str) # also generate ZooKeeper client TLS config file for mutual authentication use case str = """zookeeper.clientCnxnSocket=org.apache.zookeeper.ClientCnxnSocketNetty zookeeper.ssl.client.enable=true zookeeper.ssl.truststore.location=%s zookeeper.ssl.truststore.password=%s zookeeper.ssl.keystore.location=%s zookeeper.ssl.keystore.password=%s """ % (SecurityConfig.TRUSTSTORE_PATH, self.truststore_passwd, SecurityConfig.KEYSTORE_PATH, self.keystore_passwd) node.account.create_file(SecurityConfig.ZK_CLIENT_MUTUAL_AUTH_CONFIG_PATH, str) rmtree(ks_dir) def hostname(self, node): """ Hostname which may be overridden for testing validation failures """ return node.account.hostname def runcmd(self, cmd): if self.logger: self.logger.log(logging.DEBUG, cmd) proc = subprocess.Popen(cmd, shell=True, stdout=subprocess.PIPE, stderr=subprocess.STDOUT) stdout, stderr = proc.communicate() if proc.returncode != 0: raise RuntimeError("Command '%s' returned non-zero exit status %d: %s" % (cmd, proc.returncode, stdout)) class SecurityConfig(TemplateRenderer): PLAINTEXT = 'PLAINTEXT' SSL = 'SSL' SASL_PLAINTEXT = 'SASL_PLAINTEXT' SASL_SSL = 'SASL_SSL' SASL_MECHANISM_GSSAPI = 'GSSAPI' SASL_MECHANISM_PLAIN = 'PLAIN' SASL_MECHANISM_SCRAM_SHA_256 = 'SCRAM-SHA-256' SASL_MECHANISM_SCRAM_SHA_512 = 'SCRAM-SHA-512' SCRAM_CLIENT_USER = "kafka-client" SCRAM_CLIENT_PASSWORD = "client-secret" SCRAM_BROKER_USER = "kafka-broker" SCRAM_BROKER_PASSWORD = "broker-secret" CONFIG_DIR = "/mnt/security" KEYSTORE_PATH = "/mnt/security/test.keystore.jks" TRUSTSTORE_PATH = "/mnt/security/test.truststore.jks" ZK_CLIENT_TLS_ENCRYPT_ONLY_CONFIG_PATH = "/mnt/security/zk_client_tls_encrypt_only_config.properties" ZK_CLIENT_MUTUAL_AUTH_CONFIG_PATH = "/mnt/security/zk_client_mutual_auth_config.properties" JAAS_CONF_PATH = "/mnt/security/jaas.conf" KRB5CONF_PATH = "/mnt/security/krb5.conf" KEYTAB_PATH = "/mnt/security/keytab" # This is initialized only when the first instance of SecurityConfig is created ssl_stores = None def __init__(self, context, security_protocol=None, interbroker_security_protocol=None, client_sasl_mechanism=SASL_MECHANISM_GSSAPI, interbroker_sasl_mechanism=SASL_MECHANISM_GSSAPI, zk_sasl=False, zk_tls=False, template_props="", static_jaas_conf=True, jaas_override_variables=None, listener_security_config=ListenerSecurityConfig()): """ Initialize the security properties for the node and copy keystore and truststore to the remote node if the transport protocol is SSL. If security_protocol is None, the protocol specified in the template properties file is used. If no protocol is specified in the template properties either, PLAINTEXT is used as default. """ self.context = context if not SecurityConfig.ssl_stores: # This generates keystore/trustore files in a local scratch directory which gets # automatically destroyed after the test is run # Creating within the scratch directory allows us to run tests in parallel without fear of collision SecurityConfig.ssl_stores = SslStores(context.local_scratch_dir, context.logger) SecurityConfig.ssl_stores.generate_ca() SecurityConfig.ssl_stores.generate_truststore() if security_protocol is None: security_protocol = self.get_property('security.protocol', template_props) if security_protocol is None: security_protocol = SecurityConfig.PLAINTEXT elif security_protocol not in [SecurityConfig.PLAINTEXT, SecurityConfig.SSL, SecurityConfig.SASL_PLAINTEXT, SecurityConfig.SASL_SSL]: raise Exception("Invalid security.protocol in template properties: " + security_protocol) if interbroker_security_protocol is None: interbroker_security_protocol = security_protocol self.interbroker_security_protocol = interbroker_security_protocol self.has_sasl = self.is_sasl(security_protocol) or self.is_sasl(interbroker_security_protocol) or zk_sasl self.has_ssl = self.is_ssl(security_protocol) or self.is_ssl(interbroker_security_protocol) or zk_tls self.zk_sasl = zk_sasl self.zk_tls = zk_tls self.static_jaas_conf = static_jaas_conf self.listener_security_config = listener_security_config self.properties = { 'security.protocol' : security_protocol, 'ssl.keystore.location' : SecurityConfig.KEYSTORE_PATH, 'ssl.keystore.password' : SecurityConfig.ssl_stores.keystore_passwd, 'ssl.key.password' : SecurityConfig.ssl_stores.key_passwd, 'ssl.truststore.location' : SecurityConfig.TRUSTSTORE_PATH, 'ssl.truststore.password' : SecurityConfig.ssl_stores.truststore_passwd, 'ssl.endpoint.identification.algorithm' : 'HTTPS', 'sasl.mechanism' : client_sasl_mechanism, 'sasl.mechanism.inter.broker.protocol' : interbroker_sasl_mechanism, 'sasl.kerberos.service.name' : 'kafka' } self.properties.update(self.listener_security_config.client_listener_overrides) self.jaas_override_variables = jaas_override_variables or {} def client_config(self, template_props="", node=None, jaas_override_variables=None): # If node is not specified, use static jaas config which will be created later. # Otherwise use static JAAS configuration files with SASL_SSL and sasl.jaas.config # property with SASL_PLAINTEXT so that both code paths are tested by existing tests. # Note that this is an artibtrary choice and it is possible to run all tests with # either static or dynamic jaas config files if required. static_jaas_conf = node is None or (self.has_sasl and self.has_ssl) return SecurityConfig(self.context, self.security_protocol, client_sasl_mechanism=self.client_sasl_mechanism, template_props=template_props, static_jaas_conf=static_jaas_conf, jaas_override_variables=jaas_override_variables, listener_security_config=self.listener_security_config) def enable_security_protocol(self, security_protocol): self.has_sasl = self.has_sasl or self.is_sasl(security_protocol) self.has_ssl = self.has_ssl or self.is_ssl(security_protocol) def setup_ssl(self, node): node.account.ssh("mkdir -p %s" % SecurityConfig.CONFIG_DIR, allow_fail=False) node.account.copy_to(SecurityConfig.ssl_stores.truststore_path, SecurityConfig.TRUSTSTORE_PATH) SecurityConfig.ssl_stores.generate_and_copy_keystore(node) def setup_sasl(self, node): node.account.ssh("mkdir -p %s" % SecurityConfig.CONFIG_DIR, allow_fail=False) jaas_conf_file = "jaas.conf" java_version = node.account.ssh_capture("java -version") jaas_conf = None if 'sasl.jaas.config' not in self.properties: jaas_conf = self.render_jaas_config( jaas_conf_file, { 'node': node, 'is_ibm_jdk': any('IBM' in line for line in java_version), 'SecurityConfig': SecurityConfig, 'client_sasl_mechanism': self.client_sasl_mechanism, 'enabled_sasl_mechanisms': self.enabled_sasl_mechanisms } ) else: jaas_conf = self.properties['sasl.jaas.config'] if self.static_jaas_conf: node.account.create_file(SecurityConfig.JAAS_CONF_PATH, jaas_conf) elif 'sasl.jaas.config' not in self.properties: self.properties['sasl.jaas.config'] = jaas_conf.replace("\n", " \\\n") if self.has_sasl_kerberos: node.account.copy_to(MiniKdc.LOCAL_KEYTAB_FILE, SecurityConfig.KEYTAB_PATH) node.account.copy_to(MiniKdc.LOCAL_KRB5CONF_FILE, SecurityConfig.KRB5CONF_PATH) def render_jaas_config(self, jaas_conf_file, config_variables): """ Renders the JAAS config file contents :param jaas_conf_file: name of the JAAS config template file :param config_variables: dict of variables used in the template :return: the rendered template string """ variables = config_variables.copy() variables.update(self.jaas_override_variables) # override variables return self.render(jaas_conf_file, **variables) def setup_node(self, node): if self.has_ssl: self.setup_ssl(node) if self.has_sasl: self.setup_sasl(node) def setup_credentials(self, node, path, zk_connect, broker): if broker: self.maybe_create_scram_credentials(node, zk_connect, path, self.interbroker_sasl_mechanism, SecurityConfig.SCRAM_BROKER_USER, SecurityConfig.SCRAM_BROKER_PASSWORD) else: self.maybe_create_scram_credentials(node, zk_connect, path, self.client_sasl_mechanism, SecurityConfig.SCRAM_CLIENT_USER, SecurityConfig.SCRAM_CLIENT_PASSWORD) def maybe_create_scram_credentials(self, node, zk_connect, path, mechanism, user_name, password): if self.has_sasl and self.is_sasl_scram(mechanism): cmd = "%s --zookeeper %s --entity-name %s --entity-type users --alter --add-config %s=[password=%s]" % \ (path.script("kafka-configs.sh", node), zk_connect, user_name, mechanism, password) node.account.ssh(cmd) def clean_node(self, node): if self.security_protocol != SecurityConfig.PLAINTEXT: node.account.ssh("rm -rf %s" % SecurityConfig.CONFIG_DIR, allow_fail=False) def get_property(self, prop_name, template_props=""): """ Get property value from the string representation of a properties file. """ value = None for line in template_props.split("\n"): items = line.split("=") if len(items) == 2 and items[0].strip() == prop_name: value = str(items[1].strip()) return value def is_ssl(self, security_protocol): return security_protocol == SecurityConfig.SSL or security_protocol == SecurityConfig.SASL_SSL def is_sasl(self, security_protocol): return security_protocol == SecurityConfig.SASL_PLAINTEXT or security_protocol == SecurityConfig.SASL_SSL def is_sasl_scram(self, sasl_mechanism): return sasl_mechanism == SecurityConfig.SASL_MECHANISM_SCRAM_SHA_256 or sasl_mechanism == SecurityConfig.SASL_MECHANISM_SCRAM_SHA_512 @property def security_protocol(self): return self.properties['security.protocol'] @property def client_sasl_mechanism(self): return self.properties['sasl.mechanism'] @property def interbroker_sasl_mechanism(self): return self.properties['sasl.mechanism.inter.broker.protocol'] @property def enabled_sasl_mechanisms(self): return set([self.client_sasl_mechanism, self.interbroker_sasl_mechanism]) @property def has_sasl_kerberos(self): return self.has_sasl and (SecurityConfig.SASL_MECHANISM_GSSAPI in self.enabled_sasl_mechanisms) @property def kafka_opts(self): if self.has_sasl: if self.static_jaas_conf: return "\"-Djava.security.auth.login.config=%s -Djava.security.krb5.conf=%s\"" % (SecurityConfig.JAAS_CONF_PATH, SecurityConfig.KRB5CONF_PATH) else: return "\"-Djava.security.krb5.conf=%s\"" % SecurityConfig.KRB5CONF_PATH else: return "" def props(self, prefix=''): """ Return properties as string with line separators, optionally with a prefix. This is used to append security config properties to a properties file. :param prefix: prefix to add to each property :return: a string containing line-separated properties """ if self.security_protocol == SecurityConfig.PLAINTEXT: return "" if self.has_sasl and not self.static_jaas_conf and 'sasl.jaas.config' not in self.properties: raise Exception("JAAS configuration property has not yet been initialized") config_lines = (prefix + key + "=" + value for key, value in self.properties.iteritems()) # Extra blank lines ensure this can be appended/prepended safely return "\n".join(itertools.chain([""], config_lines, [""])) def __str__(self): """ Return properties as a string with line separators. """ return self.props()

50.368272

274

0.696682

import logging import os import subprocess from tempfile import mkdtemp from shutil import rmtree from ducktape.template import TemplateRenderer from kafkatest.services.security.minikdc import MiniKdc from kafkatest.services.security.listener_security_config import ListenerSecurityConfig import itertools class SslStores(object): def __init__(self, local_scratch_dir, logger=None): self.logger = logger self.ca_crt_path = os.path.join(local_scratch_dir, "test.ca.crt") self.ca_jks_path = os.path.join(local_scratch_dir, "test.ca.jks") self.ca_passwd = "test-ca-passwd" self.truststore_path = os.path.join(local_scratch_dir, "test.truststore.jks") self.truststore_passwd = "test-ts-passwd" self.keystore_passwd = "test-ks-passwd" self.key_passwd = self.keystore_passwd self.startdate = "-1H" for file in [self.ca_crt_path, self.ca_jks_path, self.truststore_path]: if os.path.exists(file): os.remove(file) def generate_ca(self): self.runcmd("keytool -genkeypair -alias ca -keyalg RSA -keysize 2048 -keystore %s -storetype JKS -storepass %s -keypass %s -dname CN=SystemTestCA -startdate %s --ext bc=ca:true" % (self.ca_jks_path, self.ca_passwd, self.ca_passwd, self.startdate)) self.runcmd("keytool -export -alias ca -keystore %s -storepass %s -storetype JKS -rfc -file %s" % (self.ca_jks_path, self.ca_passwd, self.ca_crt_path)) def generate_truststore(self): self.runcmd("keytool -importcert -alias ca -file %s -keystore %s -storepass %s -storetype JKS -noprompt" % (self.ca_crt_path, self.truststore_path, self.truststore_passwd)) def generate_and_copy_keystore(self, node): ks_dir = mkdtemp(dir="/tmp") ks_path = os.path.join(ks_dir, "test.keystore.jks") csr_path = os.path.join(ks_dir, "test.kafka.csr") crt_path = os.path.join(ks_dir, "test.kafka.crt") self.runcmd("keytool -genkeypair -alias kafka -keyalg RSA -keysize 2048 -keystore %s -storepass %s -storetype JKS -keypass %s -dname CN=systemtest -ext SAN=DNS:%s -startdate %s" % (ks_path, self.keystore_passwd, self.key_passwd, self.hostname(node), self.startdate)) self.runcmd("keytool -certreq -keystore %s -storepass %s -storetype JKS -keypass %s -alias kafka -file %s" % (ks_path, self.keystore_passwd, self.key_passwd, csr_path)) self.runcmd("keytool -gencert -keystore %s -storepass %s -storetype JKS -alias ca -infile %s -outfile %s -dname CN=systemtest -ext SAN=DNS:%s -startdate %s" % (self.ca_jks_path, self.ca_passwd, csr_path, crt_path, self.hostname(node), self.startdate)) self.runcmd("keytool -importcert -keystore %s -storepass %s -storetype JKS -alias ca -file %s -noprompt" % (ks_path, self.keystore_passwd, self.ca_crt_path)) self.runcmd("keytool -importcert -keystore %s -storepass %s -storetype JKS -keypass %s -alias kafka -file %s -noprompt" % (ks_path, self.keystore_passwd, self.key_passwd, crt_path)) node.account.copy_to(ks_path, SecurityConfig.KEYSTORE_PATH) str = """zookeeper.clientCnxnSocket=org.apache.zookeeper.ClientCnxnSocketNetty zookeeper.ssl.client.enable=true zookeeper.ssl.truststore.location=%s zookeeper.ssl.truststore.password=%s """ % (SecurityConfig.TRUSTSTORE_PATH, self.truststore_passwd) node.account.create_file(SecurityConfig.ZK_CLIENT_TLS_ENCRYPT_ONLY_CONFIG_PATH, str) str = """zookeeper.clientCnxnSocket=org.apache.zookeeper.ClientCnxnSocketNetty zookeeper.ssl.client.enable=true zookeeper.ssl.truststore.location=%s zookeeper.ssl.truststore.password=%s zookeeper.ssl.keystore.location=%s zookeeper.ssl.keystore.password=%s """ % (SecurityConfig.TRUSTSTORE_PATH, self.truststore_passwd, SecurityConfig.KEYSTORE_PATH, self.keystore_passwd) node.account.create_file(SecurityConfig.ZK_CLIENT_MUTUAL_AUTH_CONFIG_PATH, str) rmtree(ks_dir) def hostname(self, node): return node.account.hostname def runcmd(self, cmd): if self.logger: self.logger.log(logging.DEBUG, cmd) proc = subprocess.Popen(cmd, shell=True, stdout=subprocess.PIPE, stderr=subprocess.STDOUT) stdout, stderr = proc.communicate() if proc.returncode != 0: raise RuntimeError("Command '%s' returned non-zero exit status %d: %s" % (cmd, proc.returncode, stdout)) class SecurityConfig(TemplateRenderer): PLAINTEXT = 'PLAINTEXT' SSL = 'SSL' SASL_PLAINTEXT = 'SASL_PLAINTEXT' SASL_SSL = 'SASL_SSL' SASL_MECHANISM_GSSAPI = 'GSSAPI' SASL_MECHANISM_PLAIN = 'PLAIN' SASL_MECHANISM_SCRAM_SHA_256 = 'SCRAM-SHA-256' SASL_MECHANISM_SCRAM_SHA_512 = 'SCRAM-SHA-512' SCRAM_CLIENT_USER = "kafka-client" SCRAM_CLIENT_PASSWORD = "client-secret" SCRAM_BROKER_USER = "kafka-broker" SCRAM_BROKER_PASSWORD = "broker-secret" CONFIG_DIR = "/mnt/security" KEYSTORE_PATH = "/mnt/security/test.keystore.jks" TRUSTSTORE_PATH = "/mnt/security/test.truststore.jks" ZK_CLIENT_TLS_ENCRYPT_ONLY_CONFIG_PATH = "/mnt/security/zk_client_tls_encrypt_only_config.properties" ZK_CLIENT_MUTUAL_AUTH_CONFIG_PATH = "/mnt/security/zk_client_mutual_auth_config.properties" JAAS_CONF_PATH = "/mnt/security/jaas.conf" KRB5CONF_PATH = "/mnt/security/krb5.conf" KEYTAB_PATH = "/mnt/security/keytab" ssl_stores = None def __init__(self, context, security_protocol=None, interbroker_security_protocol=None, client_sasl_mechanism=SASL_MECHANISM_GSSAPI, interbroker_sasl_mechanism=SASL_MECHANISM_GSSAPI, zk_sasl=False, zk_tls=False, template_props="", static_jaas_conf=True, jaas_override_variables=None, listener_security_config=ListenerSecurityConfig()): self.context = context if not SecurityConfig.ssl_stores: SecurityConfig.ssl_stores = SslStores(context.local_scratch_dir, context.logger) SecurityConfig.ssl_stores.generate_ca() SecurityConfig.ssl_stores.generate_truststore() if security_protocol is None: security_protocol = self.get_property('security.protocol', template_props) if security_protocol is None: security_protocol = SecurityConfig.PLAINTEXT elif security_protocol not in [SecurityConfig.PLAINTEXT, SecurityConfig.SSL, SecurityConfig.SASL_PLAINTEXT, SecurityConfig.SASL_SSL]: raise Exception("Invalid security.protocol in template properties: " + security_protocol) if interbroker_security_protocol is None: interbroker_security_protocol = security_protocol self.interbroker_security_protocol = interbroker_security_protocol self.has_sasl = self.is_sasl(security_protocol) or self.is_sasl(interbroker_security_protocol) or zk_sasl self.has_ssl = self.is_ssl(security_protocol) or self.is_ssl(interbroker_security_protocol) or zk_tls self.zk_sasl = zk_sasl self.zk_tls = zk_tls self.static_jaas_conf = static_jaas_conf self.listener_security_config = listener_security_config self.properties = { 'security.protocol' : security_protocol, 'ssl.keystore.location' : SecurityConfig.KEYSTORE_PATH, 'ssl.keystore.password' : SecurityConfig.ssl_stores.keystore_passwd, 'ssl.key.password' : SecurityConfig.ssl_stores.key_passwd, 'ssl.truststore.location' : SecurityConfig.TRUSTSTORE_PATH, 'ssl.truststore.password' : SecurityConfig.ssl_stores.truststore_passwd, 'ssl.endpoint.identification.algorithm' : 'HTTPS', 'sasl.mechanism' : client_sasl_mechanism, 'sasl.mechanism.inter.broker.protocol' : interbroker_sasl_mechanism, 'sasl.kerberos.service.name' : 'kafka' } self.properties.update(self.listener_security_config.client_listener_overrides) self.jaas_override_variables = jaas_override_variables or {} def client_config(self, template_props="", node=None, jaas_override_variables=None): static_jaas_conf = node is None or (self.has_sasl and self.has_ssl) return SecurityConfig(self.context, self.security_protocol, client_sasl_mechanism=self.client_sasl_mechanism, template_props=template_props, static_jaas_conf=static_jaas_conf, jaas_override_variables=jaas_override_variables, listener_security_config=self.listener_security_config) def enable_security_protocol(self, security_protocol): self.has_sasl = self.has_sasl or self.is_sasl(security_protocol) self.has_ssl = self.has_ssl or self.is_ssl(security_protocol) def setup_ssl(self, node): node.account.ssh("mkdir -p %s" % SecurityConfig.CONFIG_DIR, allow_fail=False) node.account.copy_to(SecurityConfig.ssl_stores.truststore_path, SecurityConfig.TRUSTSTORE_PATH) SecurityConfig.ssl_stores.generate_and_copy_keystore(node) def setup_sasl(self, node): node.account.ssh("mkdir -p %s" % SecurityConfig.CONFIG_DIR, allow_fail=False) jaas_conf_file = "jaas.conf" java_version = node.account.ssh_capture("java -version") jaas_conf = None if 'sasl.jaas.config' not in self.properties: jaas_conf = self.render_jaas_config( jaas_conf_file, { 'node': node, 'is_ibm_jdk': any('IBM' in line for line in java_version), 'SecurityConfig': SecurityConfig, 'client_sasl_mechanism': self.client_sasl_mechanism, 'enabled_sasl_mechanisms': self.enabled_sasl_mechanisms } ) else: jaas_conf = self.properties['sasl.jaas.config'] if self.static_jaas_conf: node.account.create_file(SecurityConfig.JAAS_CONF_PATH, jaas_conf) elif 'sasl.jaas.config' not in self.properties: self.properties['sasl.jaas.config'] = jaas_conf.replace("\n", " \\\n") if self.has_sasl_kerberos: node.account.copy_to(MiniKdc.LOCAL_KEYTAB_FILE, SecurityConfig.KEYTAB_PATH) node.account.copy_to(MiniKdc.LOCAL_KRB5CONF_FILE, SecurityConfig.KRB5CONF_PATH) def render_jaas_config(self, jaas_conf_file, config_variables): variables = config_variables.copy() variables.update(self.jaas_override_variables) return self.render(jaas_conf_file, **variables) def setup_node(self, node): if self.has_ssl: self.setup_ssl(node) if self.has_sasl: self.setup_sasl(node) def setup_credentials(self, node, path, zk_connect, broker): if broker: self.maybe_create_scram_credentials(node, zk_connect, path, self.interbroker_sasl_mechanism, SecurityConfig.SCRAM_BROKER_USER, SecurityConfig.SCRAM_BROKER_PASSWORD) else: self.maybe_create_scram_credentials(node, zk_connect, path, self.client_sasl_mechanism, SecurityConfig.SCRAM_CLIENT_USER, SecurityConfig.SCRAM_CLIENT_PASSWORD) def maybe_create_scram_credentials(self, node, zk_connect, path, mechanism, user_name, password): if self.has_sasl and self.is_sasl_scram(mechanism): cmd = "%s --zookeeper %s --entity-name %s --entity-type users --alter --add-config %s=[password=%s]" % \ (path.script("kafka-configs.sh", node), zk_connect, user_name, mechanism, password) node.account.ssh(cmd) def clean_node(self, node): if self.security_protocol != SecurityConfig.PLAINTEXT: node.account.ssh("rm -rf %s" % SecurityConfig.CONFIG_DIR, allow_fail=False) def get_property(self, prop_name, template_props=""): value = None for line in template_props.split("\n"): items = line.split("=") if len(items) == 2 and items[0].strip() == prop_name: value = str(items[1].strip()) return value def is_ssl(self, security_protocol): return security_protocol == SecurityConfig.SSL or security_protocol == SecurityConfig.SASL_SSL def is_sasl(self, security_protocol): return security_protocol == SecurityConfig.SASL_PLAINTEXT or security_protocol == SecurityConfig.SASL_SSL def is_sasl_scram(self, sasl_mechanism): return sasl_mechanism == SecurityConfig.SASL_MECHANISM_SCRAM_SHA_256 or sasl_mechanism == SecurityConfig.SASL_MECHANISM_SCRAM_SHA_512 @property def security_protocol(self): return self.properties['security.protocol'] @property def client_sasl_mechanism(self): return self.properties['sasl.mechanism'] @property def interbroker_sasl_mechanism(self): return self.properties['sasl.mechanism.inter.broker.protocol'] @property def enabled_sasl_mechanisms(self): return set([self.client_sasl_mechanism, self.interbroker_sasl_mechanism]) @property def has_sasl_kerberos(self): return self.has_sasl and (SecurityConfig.SASL_MECHANISM_GSSAPI in self.enabled_sasl_mechanisms) @property def kafka_opts(self): if self.has_sasl: if self.static_jaas_conf: return "\"-Djava.security.auth.login.config=%s -Djava.security.krb5.conf=%s\"" % (SecurityConfig.JAAS_CONF_PATH, SecurityConfig.KRB5CONF_PATH) else: return "\"-Djava.security.krb5.conf=%s\"" % SecurityConfig.KRB5CONF_PATH else: return "" def props(self, prefix=''): if self.security_protocol == SecurityConfig.PLAINTEXT: return "" if self.has_sasl and not self.static_jaas_conf and 'sasl.jaas.config' not in self.properties: raise Exception("JAAS configuration property has not yet been initialized") config_lines = (prefix + key + "=" + value for key, value in self.properties.iteritems()) return "\n".join(itertools.chain([""], config_lines, [""])) def __str__(self): return self.props()

true

f70d7dcace1a9a05197e4ef934f2d9da865f07e9

21,253

py

Python

pyvista_sample/VisualizeDataProcess.py

DennisHgj/pyela

bbdbf1a55b31cd2ae4dc1877d220ad32589ead4c

[ "Intel", "MIT" ]

null

pyvista_sample/VisualizeDataProcess.py

DennisHgj/pyela

bbdbf1a55b31cd2ae4dc1877d220ad32589ead4c

[ "Intel", "MIT" ]

2

2019-08-13T06:14:35.000Z

2019-10-06T08:09:19.000Z

pyvista_sample/VisualizeDataProcess.py

DennisHgj/pyela

bbdbf1a55b31cd2ae4dc1877d220ad32589ead4c

[ "Intel", "MIT" ]

null

import os import pickle import PVGeo import pyvista as pv import pandas as pd from ela.classification import GridInterpolation from ela.spatial import create_meshgrid_cartesian from ela.visual import * ''' @author: Guanjie Huang @date: Aug 16th,2019 This class is used to process data before generating the 3D images ''' class VisualizeDataProcess: def __init__(self): # self.height_Adjustment_factor=height_Adjustment_factor self.scaled_from_height_colname = 'scaled_from_height' self.scaled_to_height_colname = 'scaled_to_height' self.dem_x_min = 0 self.dem_x_max = 0 self.dem_y_min = 0 self.dem_y_max = 0 self.ahd_max = 0 self.ahd_min = 0 self.grid_res = '' self.scalar_prop_name = "litho_num" def drill_file_read(self, file_path): """Read drill data file Args: file_path (str): drill data file path Returns: df(pandas.core.frame.DataFrame) """ df = pd.read_pickle(file_path) return df def dem_file_read(self, file_path): """Read dem data file Args: file_path (str): drill data file path Returns: dem_array_date(pandas.core.frame.DataFrame) """ with open(file_path, 'rb') as handle: dem_array_data = pickle.load(handle) handle.close() return dem_array_data def drill_data_initial(self, drill_data, depth_from_ahd=DEPTH_FROM_AHD_COL, depth_to_ahd=DEPTH_TO_AHD_COL): """initial class variables and clean drilling data Args: drill_data (pandas.core.frame.DataFrame): original drilling data depth_from_ahd(str):set the column name of depth from AHD, default DEPTH_FROM_AHD_COL depth_to_ahd(str):set the column name of depth to AHD, default DEPTH_TO_AHD_COL Returns: drill_data(pandas.core.frame.DataFrame) """ self.ahd_max = drill_data[depth_from_ahd].max() self.ahd_min = drill_data[depth_to_ahd].min() # clean the invalid data return drill_data.dropna(subset=[depth_to_ahd, depth_from_ahd]) def dem_data_initial(self, dem_array_data, dem_bounds='bounds', dem_grid_res='grid_res'): """initial class variables and clean dem data Args: dem_array_data (pandas.core.frame.DataFrame): original dem data dem_bounds(str): set bounds column name according to dem files dem_grid_res(str): set grid_res column name according to dem files Returns: dem_array_data(pandas.core.frame.DataFrame) """ self.dem_x_min, self.dem_x_max, self.dem_y_min, self.dem_y_max = dem_array_data[dem_bounds] self.grid_res = dem_array_data[dem_grid_res] return dem_array_data def drill_data_process(self, drill_data, height_adjustment_factor=20, depth_from_ahd=DEPTH_FROM_AHD_COL, depth_to_ahd=DEPTH_TO_AHD_COL, drill_east='Easting', drill_north='Northing', boreID='BoreID', prime_lithology='Lithology_1_num', min_tube_radius=10): """The whole data process from drill data to PolyData dictionary Args: drill_data(pandas.core.frame.DataFrame): original drilling data height_adjustment_factor (int): Height scaling factor, default 20. depth_from_ahd(str):set the column name of depth from AHD, default DEPTH_FROM_AHD_COL depth_to_ahd(str):set the column name of depth to AHD, default DEPTH_TO_AHD_COL drill_east(str):set the column name of point's x location in drilling data, default "Easting" drill_north(str):set the column name of point's y's location in drilling data, default "Northing" boreID(str):set the column name of bore hole ID,default "BoreID" prime_lithology(str):set the prime lithology column name min_tube_radius(int):set the min radius of borehole tube Returns: lines_dict(dict): PolyData dictionary. """ # data = self.drill_file_read(file_path, depth_from_ahd, depth_to_ahd) fixed_data = self.drill_data_initial(drill_data, depth_from_ahd, depth_to_ahd) data = self.add_scaled_height_column(fixed_data, height_adjustment_factor, depth_from_ahd, depth_to_ahd) well_dict = self.build_well_dict(data, boreID) # = self.add_missing_height_data(well_dict) point_dict = self.build_points_dict(well_dict, drill_east, drill_north) lines_dict = self.point_to_lines_dict(point_dict) lines_dict = self.add_lithology_based_scalar(well_dict, lines_dict, prime_lithology, min_tube_radius) return lines_dict def dem_data_process(self, dem_array_data, height_adjustment_factor, dem_mesh_xy='mesh_xy', dem_arrays='dem_array', dem_bounds='bounds', dem_grid_res='grid_res'): """The whole data process from dem data to pv.StructuredGrid Args: dem_array_data (pandas.core.frame.DataFrame): original dem data height_adjustment_factor (int): Height scaling factor, default 20 . dem_mesh_xy(str): set mesh_xy column name according to dem files dem_arrays(str): set dem array column name according to dem files dem_bounds(str): set bounds column name according to dem files dem_grid_res(str): set grid_res column name according to dem files Returns: Grid(pyvista.core.pointset.StructuredGrid) """ dem_array_data = self.dem_data_initial(dem_array_data, dem_bounds, dem_grid_res) xx, yy = dem_array_data[dem_mesh_xy] dem_array = dem_array_data[dem_arrays] grid = pv.StructuredGrid(xx, yy, dem_array * height_adjustment_factor) return grid def lithology_layer_process(self, drill_data, dem_array_data, storage_file_name, height_adjustment_factor=20, layer_from=0, layer_to=0, dem_bounds='bounds', dem_grid_res='grid_res', dem_mesh_xy='mesh_xy', drill_east='Easting', drill_north='Northing', dem_arrays='dem_array', depth_from_ahd=DEPTH_FROM_AHD_COL, depth_to_ahd=DEPTH_TO_AHD_COL): """add points lithology type, expands lines to tube based on lithology number Args: drill_data(pandas.core.frame.DataFrame): original drilling data dem_array_data (pandas.core.frame.DataFrame): original dem data storage_file_name(str): set the name of the save path for testing sample's lithology classification array height_adjustment_factor(int): height scala factor layer_from (float): set the begin number of layers layer_to (float): set the end number of layers dem_bounds(str): set bounds column name according to dem files dem_grid_res(str): set grid_res column name according to dem files dem_mesh_xy(str): set mesh_xy column name according to dem files drill_east(str):set the column name of point's x location in drilling data, default "Easting" drill_north(str):set the column name of point's y's location in drilling data, default "Northing" dem_arrays(str): set dem array column name according to dem files depth_from_ahd(str):set the column name of depth from AHD, default DEPTH_FROM_AHD_COL depth_to_ahd(str):set the column name of depth to AHD, default DEPTH_TO_AHD_COL Returns: layer_mesh(pyvista.core.pointset.UnstructuredGrid): layer mesh for display use """ # drill_data = self.drill_file_read(drill_file_path, depth_from_ahd, depth_to_ahd) # dem_array_data = self.dem_file_read(dem_file_path, dem_bounds, dem_grid_res) path = os.path.join(storage_file_name, "lithology_3d_array.pkl") try: with open(path, 'rb') as handle: lithology_3d_array = pickle.load(handle) handle.close() except: drill_data = self.drill_data_initial(drill_data, depth_from_ahd, depth_to_ahd) dem_array_data = self.dem_data_initial(dem_array_data, dem_bounds, dem_grid_res) lithology_3d_array = self.build_layer_data(drill_data, dem_array_data, dem_mesh_xy, drill_east, drill_north) lithology_3d_array = self.clean_over_bound_data(lithology_3d_array, dem_array_data, dem_arrays) # lithology_3d_array = self.vag_clean(lithology_3d_array, dem_array_data) folder = os.path.exists(path) if not folder: os.makedirs(storage_file_name) with open(path, "wb") as cf: pickle.dump(lithology_3d_array, cf) cf.close() layer_mesh = self.build_layer_mesh(lithology_3d_array, height_adjustment_factor, layer_from, layer_to) return layer_mesh def add_scaled_height_column(self, data, height_adjustment_factor, depth_from_ahd=DEPTH_FROM_AHD_COL, depth_to_ahd=DEPTH_TO_AHD_COL): """Add scaled height columns to data frame Args: data (pandas.core.frame.DataFrame):original data height_adjustment_factor (int): Height scaling factor. depth_from_ahd(str):set the column name of depth from AHD, default DEPTH_FROM_AHD_COL depth_to_ahd(str):set the column name of depth to AHD, default DEPTH_TO_AHD_COL Returns: data(pandas.core.frame.DataFrame): modified data """ # scaled_from_height_colname = 'scaled_from_height' data.loc[:, self.scaled_from_height_colname] = data[depth_from_ahd].values * height_adjustment_factor # scaled_to_height_colname = 'scaled_to_height' data.loc[:, self.scaled_to_height_colname] = data[depth_to_ahd].values * height_adjustment_factor return data def build_well_dict(self, data, boreID='BoreID'): """build dictionary according to BoreID Args: data (pandas.core.frame.DataFrame):original data boreID(str):set the column name of bore hole ID,default "BoreID" Returns: well_dict(dict()): wells dictionary """ data.loc[:, 'name'] = data.loc[:, boreID].values.astype(str) wells = data.name.unique() well_dict = {} for well in wells: well_dict["{0}".format(well)] = data[data.name == well] return well_dict # def add_missing_height_data(self, well_dict): # """Add the smallest height_to data to height_from data (len(well_dict[i])+1) # Args: # well_dict(dict()): original dictionary # Returns: # well_dict(dict()): modified dictionary # """ # bad_well = [] # for well in well_dict.keys(): # origin_well_df = well_dict.get(well) # after_well_df = origin_well_df.copy() # add_index = origin_well_df[self.scaled_to_height_colname].idxmin() # if np.isnan(add_index): # bad_well.append(well) # continue # line = origin_well_df.loc[add_index].copy() # line.scaled_from_height = line.scaled_to_height # line = line.to_frame() # temp = [] # for value in line.values: # if value[0]: # temp.append(value[0]) # else: # temp.append(0) # after_well_df.loc["new"] = temp # well_dict[well] = after_well_df # for i in range(len(bad_well)): # well_dict.pop(bad_well[i]) # return well_dict def build_points_dict(self, well_dict, drill_east="Easting", drill_north="Northing"): """build points dictionary from wells dictionary Args: well_dict(dict()): wells dictionary drill_east(str):set the column name of point's x location in drilling data, default "Easting" drill_north(str):set the column name of point's y's location in drilling data, default "Northing" Returns: points_dict(dict()): zip points axis for points """ c = np.concatenate points_dict = {} for points in well_dict: e = well_dict[points][drill_east].values n = well_dict[points][drill_north].values points_dict["{0}".format(points)] = np.array( list( zip( c((e, e)), c((n, n)), c(( well_dict[points][self.scaled_from_height_colname].values, well_dict[points][self.scaled_to_height_colname].values + 1.0)) ) ) ) return points_dict def point_to_lines_dict(self, points_dict): """build lines dictionary from points dictionary Args: points_dict(dict()): points dictionary Returns: lines_dict(dict()): build lines between same well points """ lines_dict = {} for bore_id in points_dict: poly = PVGeo.points_to_poly_data(points_dict[bore_id]) lines_dict["{0}".format(bore_id)] = PVGeo.filters.AddCellConnToPoints(nearest_nbr=True).apply(poly) # notice that the building of the lines need to follow the nearest neighbourhood search return lines_dict def add_lithology_based_scalar(self, well_dict, lines_dict, prime_lithology='Lithology_1_num', min_tube_radius=10): """add points lithology type, expands lines to tube based on lithology number Args: well_dict(dict()): wells dictionary lines_dict(dict()):lines dictionary prime_lithology(str):set the prime lithology column name min_tube_radius(int): set the min radius of borehole tube Returns: lines_dict(dict()): with new attribute "GR" which represent lithology number, and expanded to tube. """ lines_dict_tmp = {} for bore_id in lines_dict: try: vals = well_dict[bore_id][prime_lithology].values bore_vis = lines_dict[bore_id] bore_vis[self.scalar_prop_name] = np.concatenate((vals, vals)) # tops then bottoms of cylinders. bore_vis.tube(radius=min_tube_radius, scalars=None, inplace=True) # lines_dict[bore_id].tube(radius=10, scalars=dp.scalar_prop_name, inplace=True) except Exception as e: raise Exception("Lithology attribute processed for visualisation failed for bore ID %s" % (bore_id)) if len(vals) > 0: lines_dict_tmp[bore_id] = lines_dict[bore_id] lines_dict = lines_dict_tmp return lines_dict def build_layer_data(self, drill_data, dem_array_data, dem_mesh_xy='mesh_xy', drill_east='Easting', drill_north='Northing'): """get the layer data from the function contains in ela Args: drill_data (pandas.core.frame.DataFrame): drill data dem_array_data (pandas.core.frame.DataFrame): dem data dem_mesh_xy(str): set mesh_xy column name according to dem files drill_east(str):set the column name of point's x location in drilling data, default "Easting" drill_north(str):set the column name of point's y's location in drilling data, default "Northing" """ n_neighbours = 10 xg, yg = dem_array_data[dem_mesh_xy] m = create_meshgrid_cartesian(self.dem_x_min, self.dem_x_max, self.dem_y_min, self.dem_y_max, self.grid_res) z_coords = np.arange(self.ahd_min, self.ahd_max, 1) dim_x, dim_y = xg.shape dim_z = len(z_coords) dims = (dim_x, dim_y, dim_z) lithology_3d_array = np.empty(dims) gi = GridInterpolation(easting_col=drill_east, northing_col=drill_north) gi.interpolate_volume(lithology_3d_array, drill_data, PRIMARY_LITHO_NUM_COL, z_coords, n_neighbours, m) return lithology_3d_array def clean_over_bound_data(self, lithology_3d_array, dem_array_data, dem_arrays='dem_array'): """accurate process data that exceeds limits （we suppose that the lithology would not higher than the ground surface), accurate but slower Args: lithology_3d_array (np.array of dim 3): lithology numeric (lithology class) identifiers dem_array_data (pandas.core.frame.DataFrame): dem data dem_arrays(str): set dem array column name according to dem files """ dem_z = dem_array_data[dem_arrays] for i in range(lithology_3d_array.shape[0]): for j in range(lithology_3d_array.shape[1]): if np.isnan(dem_z[i][j]): lithology_3d_array[i][j] = None continue for k in range(lithology_3d_array.shape[2]): height = k * (self.ahd_max - self.ahd_min) / lithology_3d_array.shape[2] + self.ahd_min if height >= dem_z[i][j]: for tmp in range(k, lithology_3d_array.shape[2]): lithology_3d_array[i][j][tmp] = None break return lithology_3d_array def vag_clean(self, lithology_3d_array, dem_array_data, dem_arrays='dem_array'): """Simply process data that exceeds limits（we suppose that the lithology would not higher than the ground surface）, not accurate but faster Args: lithology_3d_array (np.array of dim 3): lithology numeric (lithology class) identifiers dem_array_data (pandas.core.frame.DataFrame: dem data dem_arrays(str): set dem array column name according to dem files """ dem_z = dem_array_data[dem_arrays] for i in range(1, lithology_3d_array.shape[0]): for j in range(1, lithology_3d_array.shape[1]): if np.isnan(dem_z[i][j]): k = 0 else: k = int(dem_z[i][j] - self.ahd_min) for tep in range(k, lithology_3d_array.shape[2]): lithology_3d_array[i][j][tep] = None return lithology_3d_array def build_layer_mesh(self, lithology_3d_array, height_adjustment_factor, layer_from, layer_to): """Build a 3D mesh of selected lithology class codes by binary bining cells. Use filter to select aim layers. Args: lithology_3d_array (np.array of dim 3): lithology numeric (lithology class) identifiers height_adjustment_factor (int): height scale factor layer_from (float): set the begin number of layers layer_to (float): set the end number of layers """ volume = pv.UniformGrid() volume.dimensions = np.array(lithology_3d_array.shape) volume.origin = (self.dem_x_min, self.dem_y_min, self.ahd_min * height_adjustment_factor) x_label = (self.dem_x_max - self.dem_x_min) / lithology_3d_array.shape[0] y_label = (self.dem_y_max - self.dem_y_min) / lithology_3d_array.shape[1] z_label = (self.ahd_max - self.ahd_min) * height_adjustment_factor / lithology_3d_array.shape[2] volume.spacing = (x_label, y_label, z_label) volume.point_arrays["Lithology"] = lithology_3d_array.flatten('F') volume.set_active_scalar("Lithology") threshed = volume.threshold([layer_from, layer_to]) return threshed # def exist_3d_lithology(self): def extract_single_lithology_class_3d(self, lithology_3d_classes, class_value): """Transform a 3D volume of lithology class codes by binary bining cells as being either of a class value or other. Preprocessing primarily for 3D visualisation for pyvista(not use in the sample ). Args: lithology_3d_classes (np.array of dim 3): lithology numeric (lithology class) identifiers class_value (float): class code of interest """ single_litho = np.copy(lithology_3d_classes) other_value = None single_litho[(single_litho != class_value)] = other_value # We burn the edges of the volume, as I suspect this is necessary to have a more intuitive viz (otherwise non # closed volumes) single_litho[0, :, :] = other_value single_litho[-1, :, :] = other_value single_litho[:, 0, :] = other_value single_litho[:, -1, :] = other_value single_litho[:, :, 0] = other_value single_litho[:, :, -1] = other_value return single_litho # burn_volume

50.125

123

0.632193

import os import pickle import PVGeo import pyvista as pv import pandas as pd from ela.classification import GridInterpolation from ela.spatial import create_meshgrid_cartesian from ela.visual import * class VisualizeDataProcess: def __init__(self): self.scaled_from_height_colname = 'scaled_from_height' self.scaled_to_height_colname = 'scaled_to_height' self.dem_x_min = 0 self.dem_x_max = 0 self.dem_y_min = 0 self.dem_y_max = 0 self.ahd_max = 0 self.ahd_min = 0 self.grid_res = '' self.scalar_prop_name = "litho_num" def drill_file_read(self, file_path): df = pd.read_pickle(file_path) return df def dem_file_read(self, file_path): with open(file_path, 'rb') as handle: dem_array_data = pickle.load(handle) handle.close() return dem_array_data def drill_data_initial(self, drill_data, depth_from_ahd=DEPTH_FROM_AHD_COL, depth_to_ahd=DEPTH_TO_AHD_COL): self.ahd_max = drill_data[depth_from_ahd].max() self.ahd_min = drill_data[depth_to_ahd].min() return drill_data.dropna(subset=[depth_to_ahd, depth_from_ahd]) def dem_data_initial(self, dem_array_data, dem_bounds='bounds', dem_grid_res='grid_res'): self.dem_x_min, self.dem_x_max, self.dem_y_min, self.dem_y_max = dem_array_data[dem_bounds] self.grid_res = dem_array_data[dem_grid_res] return dem_array_data def drill_data_process(self, drill_data, height_adjustment_factor=20, depth_from_ahd=DEPTH_FROM_AHD_COL, depth_to_ahd=DEPTH_TO_AHD_COL, drill_east='Easting', drill_north='Northing', boreID='BoreID', prime_lithology='Lithology_1_num', min_tube_radius=10): fixed_data = self.drill_data_initial(drill_data, depth_from_ahd, depth_to_ahd) data = self.add_scaled_height_column(fixed_data, height_adjustment_factor, depth_from_ahd, depth_to_ahd) well_dict = self.build_well_dict(data, boreID) point_dict = self.build_points_dict(well_dict, drill_east, drill_north) lines_dict = self.point_to_lines_dict(point_dict) lines_dict = self.add_lithology_based_scalar(well_dict, lines_dict, prime_lithology, min_tube_radius) return lines_dict def dem_data_process(self, dem_array_data, height_adjustment_factor, dem_mesh_xy='mesh_xy', dem_arrays='dem_array', dem_bounds='bounds', dem_grid_res='grid_res'): dem_array_data = self.dem_data_initial(dem_array_data, dem_bounds, dem_grid_res) xx, yy = dem_array_data[dem_mesh_xy] dem_array = dem_array_data[dem_arrays] grid = pv.StructuredGrid(xx, yy, dem_array * height_adjustment_factor) return grid def lithology_layer_process(self, drill_data, dem_array_data, storage_file_name, height_adjustment_factor=20, layer_from=0, layer_to=0, dem_bounds='bounds', dem_grid_res='grid_res', dem_mesh_xy='mesh_xy', drill_east='Easting', drill_north='Northing', dem_arrays='dem_array', depth_from_ahd=DEPTH_FROM_AHD_COL, depth_to_ahd=DEPTH_TO_AHD_COL): path = os.path.join(storage_file_name, "lithology_3d_array.pkl") try: with open(path, 'rb') as handle: lithology_3d_array = pickle.load(handle) handle.close() except: drill_data = self.drill_data_initial(drill_data, depth_from_ahd, depth_to_ahd) dem_array_data = self.dem_data_initial(dem_array_data, dem_bounds, dem_grid_res) lithology_3d_array = self.build_layer_data(drill_data, dem_array_data, dem_mesh_xy, drill_east, drill_north) lithology_3d_array = self.clean_over_bound_data(lithology_3d_array, dem_array_data, dem_arrays) folder = os.path.exists(path) if not folder: os.makedirs(storage_file_name) with open(path, "wb") as cf: pickle.dump(lithology_3d_array, cf) cf.close() layer_mesh = self.build_layer_mesh(lithology_3d_array, height_adjustment_factor, layer_from, layer_to) return layer_mesh def add_scaled_height_column(self, data, height_adjustment_factor, depth_from_ahd=DEPTH_FROM_AHD_COL, depth_to_ahd=DEPTH_TO_AHD_COL): data.loc[:, self.scaled_from_height_colname] = data[depth_from_ahd].values * height_adjustment_factor data.loc[:, self.scaled_to_height_colname] = data[depth_to_ahd].values * height_adjustment_factor return data def build_well_dict(self, data, boreID='BoreID'): data.loc[:, 'name'] = data.loc[:, boreID].values.astype(str) wells = data.name.unique() well_dict = {} for well in wells: well_dict["{0}".format(well)] = data[data.name == well] return well_dict # Args: # well_dict(dict()): original dictionary # Returns: # well_dict(dict()): modified dictionary # """ def build_points_dict(self, well_dict, drill_east="Easting", drill_north="Northing"): c = np.concatenate points_dict = {} for points in well_dict: e = well_dict[points][drill_east].values n = well_dict[points][drill_north].values points_dict["{0}".format(points)] = np.array( list( zip( c((e, e)), c((n, n)), c(( well_dict[points][self.scaled_from_height_colname].values, well_dict[points][self.scaled_to_height_colname].values + 1.0)) ) ) ) return points_dict def point_to_lines_dict(self, points_dict): lines_dict = {} for bore_id in points_dict: poly = PVGeo.points_to_poly_data(points_dict[bore_id]) lines_dict["{0}".format(bore_id)] = PVGeo.filters.AddCellConnToPoints(nearest_nbr=True).apply(poly) return lines_dict def add_lithology_based_scalar(self, well_dict, lines_dict, prime_lithology='Lithology_1_num', min_tube_radius=10): lines_dict_tmp = {} for bore_id in lines_dict: try: vals = well_dict[bore_id][prime_lithology].values bore_vis = lines_dict[bore_id] bore_vis[self.scalar_prop_name] = np.concatenate((vals, vals)) bore_vis.tube(radius=min_tube_radius, scalars=None, inplace=True) except Exception as e: raise Exception("Lithology attribute processed for visualisation failed for bore ID %s" % (bore_id)) if len(vals) > 0: lines_dict_tmp[bore_id] = lines_dict[bore_id] lines_dict = lines_dict_tmp return lines_dict def build_layer_data(self, drill_data, dem_array_data, dem_mesh_xy='mesh_xy', drill_east='Easting', drill_north='Northing'): n_neighbours = 10 xg, yg = dem_array_data[dem_mesh_xy] m = create_meshgrid_cartesian(self.dem_x_min, self.dem_x_max, self.dem_y_min, self.dem_y_max, self.grid_res) z_coords = np.arange(self.ahd_min, self.ahd_max, 1) dim_x, dim_y = xg.shape dim_z = len(z_coords) dims = (dim_x, dim_y, dim_z) lithology_3d_array = np.empty(dims) gi = GridInterpolation(easting_col=drill_east, northing_col=drill_north) gi.interpolate_volume(lithology_3d_array, drill_data, PRIMARY_LITHO_NUM_COL, z_coords, n_neighbours, m) return lithology_3d_array def clean_over_bound_data(self, lithology_3d_array, dem_array_data, dem_arrays='dem_array'): dem_z = dem_array_data[dem_arrays] for i in range(lithology_3d_array.shape[0]): for j in range(lithology_3d_array.shape[1]): if np.isnan(dem_z[i][j]): lithology_3d_array[i][j] = None continue for k in range(lithology_3d_array.shape[2]): height = k * (self.ahd_max - self.ahd_min) / lithology_3d_array.shape[2] + self.ahd_min if height >= dem_z[i][j]: for tmp in range(k, lithology_3d_array.shape[2]): lithology_3d_array[i][j][tmp] = None break return lithology_3d_array def vag_clean(self, lithology_3d_array, dem_array_data, dem_arrays='dem_array'): dem_z = dem_array_data[dem_arrays] for i in range(1, lithology_3d_array.shape[0]): for j in range(1, lithology_3d_array.shape[1]): if np.isnan(dem_z[i][j]): k = 0 else: k = int(dem_z[i][j] - self.ahd_min) for tep in range(k, lithology_3d_array.shape[2]): lithology_3d_array[i][j][tep] = None return lithology_3d_array def build_layer_mesh(self, lithology_3d_array, height_adjustment_factor, layer_from, layer_to): volume = pv.UniformGrid() volume.dimensions = np.array(lithology_3d_array.shape) volume.origin = (self.dem_x_min, self.dem_y_min, self.ahd_min * height_adjustment_factor) x_label = (self.dem_x_max - self.dem_x_min) / lithology_3d_array.shape[0] y_label = (self.dem_y_max - self.dem_y_min) / lithology_3d_array.shape[1] z_label = (self.ahd_max - self.ahd_min) * height_adjustment_factor / lithology_3d_array.shape[2] volume.spacing = (x_label, y_label, z_label) volume.point_arrays["Lithology"] = lithology_3d_array.flatten('F') volume.set_active_scalar("Lithology") threshed = volume.threshold([layer_from, layer_to]) return threshed def extract_single_lithology_class_3d(self, lithology_3d_classes, class_value): single_litho = np.copy(lithology_3d_classes) other_value = None single_litho[(single_litho != class_value)] = other_value single_litho[0, :, :] = other_value single_litho[-1, :, :] = other_value single_litho[:, 0, :] = other_value single_litho[:, -1, :] = other_value single_litho[:, :, 0] = other_value single_litho[:, :, -1] = other_value return single_litho

true

f70d7e1db529deaba507f2cc77a2eac42e9c9da5

26,813

py

Python

netbox/utilities/tests/test_filters.py

aslafy-z/netbox

a5512dd4c46c005df8752fc330c1382ac22b31ea

[ "Apache-2.0" ]

2

2021-06-02T03:00:05.000Z

2021-07-30T18:52:32.000Z

netbox/utilities/tests/test_filters.py

aslafy-z/netbox

a5512dd4c46c005df8752fc330c1382ac22b31ea

[ "Apache-2.0" ]

4

2021-06-08T22:29:06.000Z

2022-03-12T00:48:51.000Z

netbox/utilities/tests/test_filters.py

aslafy-z/netbox

a5512dd4c46c005df8752fc330c1382ac22b31ea

[ "Apache-2.0" ]

1

2020-09-16T11:31:25.000Z

import django_filters from django.conf import settings from django.db import models from django.test import TestCase from mptt.fields import TreeForeignKey from taggit.managers import TaggableManager from dcim.choices import * from dcim.fields import MACAddressField from dcim.filters import DeviceFilterSet, SiteFilterSet from dcim.models import ( Device, DeviceRole, DeviceType, Interface, Manufacturer, Platform, Rack, Region, Site ) from extras.models import TaggedItem from utilities.filters import ( BaseFilterSet, MACAddressFilter, MultiValueCharFilter, MultiValueDateFilter, MultiValueDateTimeFilter, MultiValueNumberFilter, MultiValueTimeFilter, TagFilter, TreeNodeMultipleChoiceFilter, ) class TreeNodeMultipleChoiceFilterTest(TestCase): class SiteFilterSet(django_filters.FilterSet): region = TreeNodeMultipleChoiceFilter( queryset=Region.objects.all(), field_name='region__in', to_field_name='slug', ) def setUp(self): super().setUp() self.region1 = Region.objects.create(name='Test Region 1', slug='test-region-1') self.region2 = Region.objects.create(name='Test Region 2', slug='test-region-2') self.site1 = Site.objects.create(region=self.region1, name='Test Site 1', slug='test-site1') self.site2 = Site.objects.create(region=self.region2, name='Test Site 2', slug='test-site2') self.site3 = Site.objects.create(region=None, name='Test Site 3', slug='test-site3') self.queryset = Site.objects.all() def test_filter_single(self): kwargs = {'region': ['test-region-1']} qs = self.SiteFilterSet(kwargs, self.queryset).qs self.assertEqual(qs.count(), 1) self.assertEqual(qs[0], self.site1) def test_filter_multiple(self): kwargs = {'region': ['test-region-1', 'test-region-2']} qs = self.SiteFilterSet(kwargs, self.queryset).qs self.assertEqual(qs.count(), 2) self.assertEqual(qs[0], self.site1) self.assertEqual(qs[1], self.site2) def test_filter_null(self): kwargs = {'region': [settings.FILTERS_NULL_CHOICE_VALUE]} qs = self.SiteFilterSet(kwargs, self.queryset).qs self.assertEqual(qs.count(), 1) self.assertEqual(qs[0], self.site3) def test_filter_combined(self): kwargs = {'region': ['test-region-1', settings.FILTERS_NULL_CHOICE_VALUE]} qs = self.SiteFilterSet(kwargs, self.queryset).qs self.assertEqual(qs.count(), 2) self.assertEqual(qs[0], self.site1) self.assertEqual(qs[1], self.site3) class DummyModel(models.Model): """ Dummy model used by BaseFilterSetTest for filter validation. Should never appear in a schema migration. """ charfield = models.CharField( max_length=10 ) choicefield = models.IntegerField( choices=(('A', 1), ('B', 2), ('C', 3)) ) datefield = models.DateField() datetimefield = models.DateTimeField() integerfield = models.IntegerField() macaddressfield = MACAddressField() timefield = models.TimeField() treeforeignkeyfield = TreeForeignKey( to='self', on_delete=models.CASCADE ) tags = TaggableManager(through=TaggedItem) class BaseFilterSetTest(TestCase): """ Ensure that a BaseFilterSet automatically creates the expected set of filters for each filter type. """ class DummyFilterSet(BaseFilterSet): charfield = django_filters.CharFilter() macaddressfield = MACAddressFilter() modelchoicefield = django_filters.ModelChoiceFilter( field_name='integerfield', # We're pretending this is a ForeignKey field queryset=Site.objects.all() ) modelmultiplechoicefield = django_filters.ModelMultipleChoiceFilter( field_name='integerfield', # We're pretending this is a ForeignKey field queryset=Site.objects.all() ) multiplechoicefield = django_filters.MultipleChoiceFilter( field_name='choicefield' ) multivaluecharfield = MultiValueCharFilter( field_name='charfield' ) tagfield = TagFilter() treeforeignkeyfield = TreeNodeMultipleChoiceFilter( queryset=DummyModel.objects.all() ) class Meta: model = DummyModel fields = ( 'charfield', 'choicefield', 'datefield', 'datetimefield', 'integerfield', 'macaddressfield', 'modelchoicefield', 'modelmultiplechoicefield', 'multiplechoicefield', 'tagfield', 'timefield', 'treeforeignkeyfield', ) @classmethod def setUpTestData(cls): cls.filters = cls.DummyFilterSet().filters def test_char_filter(self): self.assertIsInstance(self.filters['charfield'], django_filters.CharFilter) self.assertEqual(self.filters['charfield'].lookup_expr, 'exact') self.assertEqual(self.filters['charfield'].exclude, False) self.assertEqual(self.filters['charfield__n'].lookup_expr, 'exact') self.assertEqual(self.filters['charfield__n'].exclude, True) self.assertEqual(self.filters['charfield__ie'].lookup_expr, 'iexact') self.assertEqual(self.filters['charfield__ie'].exclude, False) self.assertEqual(self.filters['charfield__nie'].lookup_expr, 'iexact') self.assertEqual(self.filters['charfield__nie'].exclude, True) self.assertEqual(self.filters['charfield__ic'].lookup_expr, 'icontains') self.assertEqual(self.filters['charfield__ic'].exclude, False) self.assertEqual(self.filters['charfield__nic'].lookup_expr, 'icontains') self.assertEqual(self.filters['charfield__nic'].exclude, True) self.assertEqual(self.filters['charfield__isw'].lookup_expr, 'istartswith') self.assertEqual(self.filters['charfield__isw'].exclude, False) self.assertEqual(self.filters['charfield__nisw'].lookup_expr, 'istartswith') self.assertEqual(self.filters['charfield__nisw'].exclude, True) self.assertEqual(self.filters['charfield__iew'].lookup_expr, 'iendswith') self.assertEqual(self.filters['charfield__iew'].exclude, False) self.assertEqual(self.filters['charfield__niew'].lookup_expr, 'iendswith') self.assertEqual(self.filters['charfield__niew'].exclude, True) def test_mac_address_filter(self): self.assertIsInstance(self.filters['macaddressfield'], MACAddressFilter) self.assertEqual(self.filters['macaddressfield'].lookup_expr, 'exact') self.assertEqual(self.filters['macaddressfield'].exclude, False) self.assertEqual(self.filters['macaddressfield__n'].lookup_expr, 'exact') self.assertEqual(self.filters['macaddressfield__n'].exclude, True) self.assertEqual(self.filters['macaddressfield__ie'].lookup_expr, 'iexact') self.assertEqual(self.filters['macaddressfield__ie'].exclude, False) self.assertEqual(self.filters['macaddressfield__nie'].lookup_expr, 'iexact') self.assertEqual(self.filters['macaddressfield__nie'].exclude, True) self.assertEqual(self.filters['macaddressfield__ic'].lookup_expr, 'icontains') self.assertEqual(self.filters['macaddressfield__ic'].exclude, False) self.assertEqual(self.filters['macaddressfield__nic'].lookup_expr, 'icontains') self.assertEqual(self.filters['macaddressfield__nic'].exclude, True) self.assertEqual(self.filters['macaddressfield__isw'].lookup_expr, 'istartswith') self.assertEqual(self.filters['macaddressfield__isw'].exclude, False) self.assertEqual(self.filters['macaddressfield__nisw'].lookup_expr, 'istartswith') self.assertEqual(self.filters['macaddressfield__nisw'].exclude, True) self.assertEqual(self.filters['macaddressfield__iew'].lookup_expr, 'iendswith') self.assertEqual(self.filters['macaddressfield__iew'].exclude, False) self.assertEqual(self.filters['macaddressfield__niew'].lookup_expr, 'iendswith') self.assertEqual(self.filters['macaddressfield__niew'].exclude, True) def test_model_choice_filter(self): self.assertIsInstance(self.filters['modelchoicefield'], django_filters.ModelChoiceFilter) self.assertEqual(self.filters['modelchoicefield'].lookup_expr, 'exact') self.assertEqual(self.filters['modelchoicefield'].exclude, False) self.assertEqual(self.filters['modelchoicefield__n'].lookup_expr, 'exact') self.assertEqual(self.filters['modelchoicefield__n'].exclude, True) def test_model_multiple_choice_filter(self): self.assertIsInstance(self.filters['modelmultiplechoicefield'], django_filters.ModelMultipleChoiceFilter) self.assertEqual(self.filters['modelmultiplechoicefield'].lookup_expr, 'exact') self.assertEqual(self.filters['modelmultiplechoicefield'].exclude, False) self.assertEqual(self.filters['modelmultiplechoicefield__n'].lookup_expr, 'exact') self.assertEqual(self.filters['modelmultiplechoicefield__n'].exclude, True) def test_multi_value_char_filter(self): self.assertIsInstance(self.filters['multivaluecharfield'], MultiValueCharFilter) self.assertEqual(self.filters['multivaluecharfield'].lookup_expr, 'exact') self.assertEqual(self.filters['multivaluecharfield'].exclude, False) self.assertEqual(self.filters['multivaluecharfield__n'].lookup_expr, 'exact') self.assertEqual(self.filters['multivaluecharfield__n'].exclude, True) self.assertEqual(self.filters['multivaluecharfield__ie'].lookup_expr, 'iexact') self.assertEqual(self.filters['multivaluecharfield__ie'].exclude, False) self.assertEqual(self.filters['multivaluecharfield__nie'].lookup_expr, 'iexact') self.assertEqual(self.filters['multivaluecharfield__nie'].exclude, True) self.assertEqual(self.filters['multivaluecharfield__ic'].lookup_expr, 'icontains') self.assertEqual(self.filters['multivaluecharfield__ic'].exclude, False) self.assertEqual(self.filters['multivaluecharfield__nic'].lookup_expr, 'icontains') self.assertEqual(self.filters['multivaluecharfield__nic'].exclude, True) self.assertEqual(self.filters['multivaluecharfield__isw'].lookup_expr, 'istartswith') self.assertEqual(self.filters['multivaluecharfield__isw'].exclude, False) self.assertEqual(self.filters['multivaluecharfield__nisw'].lookup_expr, 'istartswith') self.assertEqual(self.filters['multivaluecharfield__nisw'].exclude, True) self.assertEqual(self.filters['multivaluecharfield__iew'].lookup_expr, 'iendswith') self.assertEqual(self.filters['multivaluecharfield__iew'].exclude, False) self.assertEqual(self.filters['multivaluecharfield__niew'].lookup_expr, 'iendswith') self.assertEqual(self.filters['multivaluecharfield__niew'].exclude, True) def test_multi_value_date_filter(self): self.assertIsInstance(self.filters['datefield'], MultiValueDateFilter) self.assertEqual(self.filters['datefield'].lookup_expr, 'exact') self.assertEqual(self.filters['datefield'].exclude, False) self.assertEqual(self.filters['datefield__n'].lookup_expr, 'exact') self.assertEqual(self.filters['datefield__n'].exclude, True) self.assertEqual(self.filters['datefield__lt'].lookup_expr, 'lt') self.assertEqual(self.filters['datefield__lt'].exclude, False) self.assertEqual(self.filters['datefield__lte'].lookup_expr, 'lte') self.assertEqual(self.filters['datefield__lte'].exclude, False) self.assertEqual(self.filters['datefield__gt'].lookup_expr, 'gt') self.assertEqual(self.filters['datefield__gt'].exclude, False) self.assertEqual(self.filters['datefield__gte'].lookup_expr, 'gte') self.assertEqual(self.filters['datefield__gte'].exclude, False) def test_multi_value_datetime_filter(self): self.assertIsInstance(self.filters['datetimefield'], MultiValueDateTimeFilter) self.assertEqual(self.filters['datetimefield'].lookup_expr, 'exact') self.assertEqual(self.filters['datetimefield'].exclude, False) self.assertEqual(self.filters['datetimefield__n'].lookup_expr, 'exact') self.assertEqual(self.filters['datetimefield__n'].exclude, True) self.assertEqual(self.filters['datetimefield__lt'].lookup_expr, 'lt') self.assertEqual(self.filters['datetimefield__lt'].exclude, False) self.assertEqual(self.filters['datetimefield__lte'].lookup_expr, 'lte') self.assertEqual(self.filters['datetimefield__lte'].exclude, False) self.assertEqual(self.filters['datetimefield__gt'].lookup_expr, 'gt') self.assertEqual(self.filters['datetimefield__gt'].exclude, False) self.assertEqual(self.filters['datetimefield__gte'].lookup_expr, 'gte') self.assertEqual(self.filters['datetimefield__gte'].exclude, False) def test_multi_value_number_filter(self): self.assertIsInstance(self.filters['integerfield'], MultiValueNumberFilter) self.assertEqual(self.filters['integerfield'].lookup_expr, 'exact') self.assertEqual(self.filters['integerfield'].exclude, False) self.assertEqual(self.filters['integerfield__n'].lookup_expr, 'exact') self.assertEqual(self.filters['integerfield__n'].exclude, True) self.assertEqual(self.filters['integerfield__lt'].lookup_expr, 'lt') self.assertEqual(self.filters['integerfield__lt'].exclude, False) self.assertEqual(self.filters['integerfield__lte'].lookup_expr, 'lte') self.assertEqual(self.filters['integerfield__lte'].exclude, False) self.assertEqual(self.filters['integerfield__gt'].lookup_expr, 'gt') self.assertEqual(self.filters['integerfield__gt'].exclude, False) self.assertEqual(self.filters['integerfield__gte'].lookup_expr, 'gte') self.assertEqual(self.filters['integerfield__gte'].exclude, False) def test_multi_value_time_filter(self): self.assertIsInstance(self.filters['timefield'], MultiValueTimeFilter) self.assertEqual(self.filters['timefield'].lookup_expr, 'exact') self.assertEqual(self.filters['timefield'].exclude, False) self.assertEqual(self.filters['timefield__n'].lookup_expr, 'exact') self.assertEqual(self.filters['timefield__n'].exclude, True) self.assertEqual(self.filters['timefield__lt'].lookup_expr, 'lt') self.assertEqual(self.filters['timefield__lt'].exclude, False) self.assertEqual(self.filters['timefield__lte'].lookup_expr, 'lte') self.assertEqual(self.filters['timefield__lte'].exclude, False) self.assertEqual(self.filters['timefield__gt'].lookup_expr, 'gt') self.assertEqual(self.filters['timefield__gt'].exclude, False) self.assertEqual(self.filters['timefield__gte'].lookup_expr, 'gte') self.assertEqual(self.filters['timefield__gte'].exclude, False) def test_multiple_choice_filter(self): self.assertIsInstance(self.filters['multiplechoicefield'], django_filters.MultipleChoiceFilter) self.assertEqual(self.filters['multiplechoicefield'].lookup_expr, 'exact') self.assertEqual(self.filters['multiplechoicefield'].exclude, False) self.assertEqual(self.filters['multiplechoicefield__n'].lookup_expr, 'exact') self.assertEqual(self.filters['multiplechoicefield__n'].exclude, True) self.assertEqual(self.filters['multiplechoicefield__ie'].lookup_expr, 'iexact') self.assertEqual(self.filters['multiplechoicefield__ie'].exclude, False) self.assertEqual(self.filters['multiplechoicefield__nie'].lookup_expr, 'iexact') self.assertEqual(self.filters['multiplechoicefield__nie'].exclude, True) self.assertEqual(self.filters['multiplechoicefield__ic'].lookup_expr, 'icontains') self.assertEqual(self.filters['multiplechoicefield__ic'].exclude, False) self.assertEqual(self.filters['multiplechoicefield__nic'].lookup_expr, 'icontains') self.assertEqual(self.filters['multiplechoicefield__nic'].exclude, True) self.assertEqual(self.filters['multiplechoicefield__isw'].lookup_expr, 'istartswith') self.assertEqual(self.filters['multiplechoicefield__isw'].exclude, False) self.assertEqual(self.filters['multiplechoicefield__nisw'].lookup_expr, 'istartswith') self.assertEqual(self.filters['multiplechoicefield__nisw'].exclude, True) self.assertEqual(self.filters['multiplechoicefield__iew'].lookup_expr, 'iendswith') self.assertEqual(self.filters['multiplechoicefield__iew'].exclude, False) self.assertEqual(self.filters['multiplechoicefield__niew'].lookup_expr, 'iendswith') self.assertEqual(self.filters['multiplechoicefield__niew'].exclude, True) def test_tag_filter(self): self.assertIsInstance(self.filters['tagfield'], TagFilter) self.assertEqual(self.filters['tagfield'].lookup_expr, 'exact') self.assertEqual(self.filters['tagfield'].exclude, False) self.assertEqual(self.filters['tagfield__n'].lookup_expr, 'exact') self.assertEqual(self.filters['tagfield__n'].exclude, True) def test_tree_node_multiple_choice_filter(self): self.assertIsInstance(self.filters['treeforeignkeyfield'], TreeNodeMultipleChoiceFilter) # TODO: lookup_expr different for negation? self.assertEqual(self.filters['treeforeignkeyfield'].lookup_expr, 'exact') self.assertEqual(self.filters['treeforeignkeyfield'].exclude, False) self.assertEqual(self.filters['treeforeignkeyfield__n'].lookup_expr, 'in') self.assertEqual(self.filters['treeforeignkeyfield__n'].exclude, True) class DynamicFilterLookupExpressionTest(TestCase): """ Validate function of automatically generated filters using the Device model as an example. """ device_queryset = Device.objects.all() device_filterset = DeviceFilterSet site_queryset = Site.objects.all() site_filterset = SiteFilterSet @classmethod def setUpTestData(cls): manufacturers = ( Manufacturer(name='Manufacturer 1', slug='manufacturer-1'), Manufacturer(name='Manufacturer 2', slug='manufacturer-2'), Manufacturer(name='Manufacturer 3', slug='manufacturer-3'), ) Manufacturer.objects.bulk_create(manufacturers) device_types = ( DeviceType(manufacturer=manufacturers[0], model='Model 1', slug='model-1', is_full_depth=True), DeviceType(manufacturer=manufacturers[1], model='Model 2', slug='model-2', is_full_depth=True), DeviceType(manufacturer=manufacturers[2], model='Model 3', slug='model-3', is_full_depth=False), ) DeviceType.objects.bulk_create(device_types) device_roles = ( DeviceRole(name='Device Role 1', slug='device-role-1'), DeviceRole(name='Device Role 2', slug='device-role-2'), DeviceRole(name='Device Role 3', slug='device-role-3'), ) DeviceRole.objects.bulk_create(device_roles) platforms = ( Platform(name='Platform 1', slug='platform-1'), Platform(name='Platform 2', slug='platform-2'), Platform(name='Platform 3', slug='platform-3'), ) Platform.objects.bulk_create(platforms) regions = ( Region(name='Region 1', slug='region-1'), Region(name='Region 2', slug='region-2'), Region(name='Region 3', slug='region-3'), ) for region in regions: region.save() sites = ( Site(name='Site 1', slug='abc-site-1', region=regions[0], asn=65001), Site(name='Site 2', slug='def-site-2', region=regions[1], asn=65101), Site(name='Site 3', slug='ghi-site-3', region=regions[2], asn=65201), ) Site.objects.bulk_create(sites) racks = ( Rack(name='Rack 1', site=sites[0]), Rack(name='Rack 2', site=sites[1]), Rack(name='Rack 3', site=sites[2]), ) Rack.objects.bulk_create(racks) devices = ( Device(name='Device 1', device_type=device_types[0], device_role=device_roles[0], platform=platforms[0], serial='ABC', asset_tag='1001', site=sites[0], rack=racks[0], position=1, face=DeviceFaceChoices.FACE_FRONT, status=DeviceStatusChoices.STATUS_ACTIVE, local_context_data={"foo": 123}), Device(name='Device 2', device_type=device_types[1], device_role=device_roles[1], platform=platforms[1], serial='DEF', asset_tag='1002', site=sites[1], rack=racks[1], position=2, face=DeviceFaceChoices.FACE_FRONT, status=DeviceStatusChoices.STATUS_STAGED), Device(name='Device 3', device_type=device_types[2], device_role=device_roles[2], platform=platforms[2], serial='GHI', asset_tag='1003', site=sites[2], rack=racks[2], position=3, face=DeviceFaceChoices.FACE_REAR, status=DeviceStatusChoices.STATUS_FAILED), ) Device.objects.bulk_create(devices) interfaces = ( Interface(device=devices[0], name='Interface 1', mac_address='00-00-00-00-00-01'), Interface(device=devices[0], name='Interface 2', mac_address='aa-00-00-00-00-01'), Interface(device=devices[1], name='Interface 3', mac_address='00-00-00-00-00-02'), Interface(device=devices[1], name='Interface 4', mac_address='bb-00-00-00-00-02'), Interface(device=devices[2], name='Interface 5', mac_address='00-00-00-00-00-03'), Interface(device=devices[2], name='Interface 6', mac_address='cc-00-00-00-00-03'), ) Interface.objects.bulk_create(interfaces) def test_site_name_negation(self): params = {'name__n': ['Site 1']} self.assertEqual(SiteFilterSet(params, self.site_queryset).qs.count(), 2) def test_site_slug_icontains(self): params = {'slug__ic': ['-1']} self.assertEqual(SiteFilterSet(params, self.site_queryset).qs.count(), 1) def test_site_slug_icontains_negation(self): params = {'slug__nic': ['-1']} self.assertEqual(SiteFilterSet(params, self.site_queryset).qs.count(), 2) def test_site_slug_startswith(self): params = {'slug__isw': ['abc']} self.assertEqual(SiteFilterSet(params, self.site_queryset).qs.count(), 1) def test_site_slug_startswith_negation(self): params = {'slug__nisw': ['abc']} self.assertEqual(SiteFilterSet(params, self.site_queryset).qs.count(), 2) def test_site_slug_endswith(self): params = {'slug__iew': ['-1']} self.assertEqual(SiteFilterSet(params, self.site_queryset).qs.count(), 1) def test_site_slug_endswith_negation(self): params = {'slug__niew': ['-1']} self.assertEqual(SiteFilterSet(params, self.site_queryset).qs.count(), 2) def test_site_asn_lt(self): params = {'asn__lt': [65101]} self.assertEqual(SiteFilterSet(params, self.site_queryset).qs.count(), 1) def test_site_asn_lte(self): params = {'asn__lte': [65101]} self.assertEqual(SiteFilterSet(params, self.site_queryset).qs.count(), 2) def test_site_asn_gt(self): params = {'asn__lt': [65101]} self.assertEqual(SiteFilterSet(params, self.site_queryset).qs.count(), 1) def test_site_asn_gte(self): params = {'asn__gte': [65101]} self.assertEqual(SiteFilterSet(params, self.site_queryset).qs.count(), 2) def test_site_region_negation(self): params = {'region__n': ['region-1']} self.assertEqual(SiteFilterSet(params, self.site_queryset).qs.count(), 2) def test_site_region_id_negation(self): params = {'region_id__n': [Region.objects.first().pk]} self.assertEqual(SiteFilterSet(params, self.site_queryset).qs.count(), 2) def test_device_name_eq(self): params = {'name': ['Device 1']} self.assertEqual(DeviceFilterSet(params, self.device_queryset).qs.count(), 1) def test_device_name_negation(self): params = {'name__n': ['Device 1']} self.assertEqual(DeviceFilterSet(params, self.device_queryset).qs.count(), 2) def test_device_name_startswith(self): params = {'name__isw': ['Device']} self.assertEqual(DeviceFilterSet(params, self.device_queryset).qs.count(), 3) def test_device_name_startswith_negation(self): params = {'name__nisw': ['Device 1']} self.assertEqual(DeviceFilterSet(params, self.device_queryset).qs.count(), 2) def test_device_name_endswith(self): params = {'name__iew': [' 1']} self.assertEqual(DeviceFilterSet(params, self.device_queryset).qs.count(), 1) def test_device_name_endswith_negation(self): params = {'name__niew': [' 1']} self.assertEqual(DeviceFilterSet(params, self.device_queryset).qs.count(), 2) def test_device_name_icontains(self): params = {'name__ic': [' 2']} self.assertEqual(DeviceFilterSet(params, self.device_queryset).qs.count(), 1) def test_device_name_icontains_negation(self): params = {'name__nic': [' ']} self.assertEqual(DeviceFilterSet(params, self.device_queryset).qs.count(), 0) def test_device_mac_address_negation(self): params = {'mac_address__n': ['00-00-00-00-00-01', 'aa-00-00-00-00-01']} self.assertEqual(DeviceFilterSet(params, self.device_queryset).qs.count(), 2) def test_device_mac_address_startswith(self): params = {'mac_address__isw': ['aa:']} self.assertEqual(DeviceFilterSet(params, self.device_queryset).qs.count(), 1) def test_device_mac_address_startswith_negation(self): params = {'mac_address__nisw': ['aa:']} self.assertEqual(DeviceFilterSet(params, self.device_queryset).qs.count(), 2) def test_device_mac_address_endswith(self): params = {'mac_address__iew': [':02']} self.assertEqual(DeviceFilterSet(params, self.device_queryset).qs.count(), 1) def test_device_mac_address_endswith_negation(self): params = {'mac_address__niew': [':02']} self.assertEqual(DeviceFilterSet(params, self.device_queryset).qs.count(), 2) def test_device_mac_address_icontains(self): params = {'mac_address__ic': ['aa:', 'bb']} self.assertEqual(DeviceFilterSet(params, self.device_queryset).qs.count(), 2) def test_device_mac_address_icontains_negation(self): params = {'mac_address__nic': ['aa:', 'bb']} self.assertEqual(DeviceFilterSet(params, self.device_queryset).qs.count(), 1)

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import django_filters from django.conf import settings from django.db import models from django.test import TestCase from mptt.fields import TreeForeignKey from taggit.managers import TaggableManager from dcim.choices import * from dcim.fields import MACAddressField from dcim.filters import DeviceFilterSet, SiteFilterSet from dcim.models import ( Device, DeviceRole, DeviceType, Interface, Manufacturer, Platform, Rack, Region, Site ) from extras.models import TaggedItem from utilities.filters import ( BaseFilterSet, MACAddressFilter, MultiValueCharFilter, MultiValueDateFilter, MultiValueDateTimeFilter, MultiValueNumberFilter, MultiValueTimeFilter, TagFilter, TreeNodeMultipleChoiceFilter, ) class TreeNodeMultipleChoiceFilterTest(TestCase): class SiteFilterSet(django_filters.FilterSet): region = TreeNodeMultipleChoiceFilter( queryset=Region.objects.all(), field_name='region__in', to_field_name='slug', ) def setUp(self): super().setUp() self.region1 = Region.objects.create(name='Test Region 1', slug='test-region-1') self.region2 = Region.objects.create(name='Test Region 2', slug='test-region-2') self.site1 = Site.objects.create(region=self.region1, name='Test Site 1', slug='test-site1') self.site2 = Site.objects.create(region=self.region2, name='Test Site 2', slug='test-site2') self.site3 = Site.objects.create(region=None, name='Test Site 3', slug='test-site3') self.queryset = Site.objects.all() def test_filter_single(self): kwargs = {'region': ['test-region-1']} qs = self.SiteFilterSet(kwargs, self.queryset).qs self.assertEqual(qs.count(), 1) self.assertEqual(qs[0], self.site1) def test_filter_multiple(self): kwargs = {'region': ['test-region-1', 'test-region-2']} qs = self.SiteFilterSet(kwargs, self.queryset).qs self.assertEqual(qs.count(), 2) self.assertEqual(qs[0], self.site1) self.assertEqual(qs[1], self.site2) def test_filter_null(self): kwargs = {'region': [settings.FILTERS_NULL_CHOICE_VALUE]} qs = self.SiteFilterSet(kwargs, self.queryset).qs self.assertEqual(qs.count(), 1) self.assertEqual(qs[0], self.site3) def test_filter_combined(self): kwargs = {'region': ['test-region-1', settings.FILTERS_NULL_CHOICE_VALUE]} qs = self.SiteFilterSet(kwargs, self.queryset).qs self.assertEqual(qs.count(), 2) self.assertEqual(qs[0], self.site1) self.assertEqual(qs[1], self.site3) class DummyModel(models.Model): charfield = models.CharField( max_length=10 ) choicefield = models.IntegerField( choices=(('A', 1), ('B', 2), ('C', 3)) ) datefield = models.DateField() datetimefield = models.DateTimeField() integerfield = models.IntegerField() macaddressfield = MACAddressField() timefield = models.TimeField() treeforeignkeyfield = TreeForeignKey( to='self', on_delete=models.CASCADE ) tags = TaggableManager(through=TaggedItem) class BaseFilterSetTest(TestCase): class DummyFilterSet(BaseFilterSet): charfield = django_filters.CharFilter() macaddressfield = MACAddressFilter() modelchoicefield = django_filters.ModelChoiceFilter( field_name='integerfield', queryset=Site.objects.all() ) modelmultiplechoicefield = django_filters.ModelMultipleChoiceFilter( field_name='integerfield', # We're pretending this is a ForeignKey field queryset=Site.objects.all() ) multiplechoicefield = django_filters.MultipleChoiceFilter( field_name='choicefield' ) multivaluecharfield = MultiValueCharFilter( field_name='charfield' ) tagfield = TagFilter() treeforeignkeyfield = TreeNodeMultipleChoiceFilter( queryset=DummyModel.objects.all() ) class Meta: model = DummyModel fields = ( 'charfield', 'choicefield', 'datefield', 'datetimefield', 'integerfield', 'macaddressfield', 'modelchoicefield', 'modelmultiplechoicefield', 'multiplechoicefield', 'tagfield', 'timefield', 'treeforeignkeyfield', ) @classmethod def setUpTestData(cls): cls.filters = cls.DummyFilterSet().filters def test_char_filter(self): self.assertIsInstance(self.filters['charfield'], django_filters.CharFilter) self.assertEqual(self.filters['charfield'].lookup_expr, 'exact') self.assertEqual(self.filters['charfield'].exclude, False) self.assertEqual(self.filters['charfield__n'].lookup_expr, 'exact') self.assertEqual(self.filters['charfield__n'].exclude, True) self.assertEqual(self.filters['charfield__ie'].lookup_expr, 'iexact') self.assertEqual(self.filters['charfield__ie'].exclude, False) self.assertEqual(self.filters['charfield__nie'].lookup_expr, 'iexact') self.assertEqual(self.filters['charfield__nie'].exclude, True) self.assertEqual(self.filters['charfield__ic'].lookup_expr, 'icontains') self.assertEqual(self.filters['charfield__ic'].exclude, False) self.assertEqual(self.filters['charfield__nic'].lookup_expr, 'icontains') self.assertEqual(self.filters['charfield__nic'].exclude, True) self.assertEqual(self.filters['charfield__isw'].lookup_expr, 'istartswith') self.assertEqual(self.filters['charfield__isw'].exclude, False) self.assertEqual(self.filters['charfield__nisw'].lookup_expr, 'istartswith') self.assertEqual(self.filters['charfield__nisw'].exclude, True) self.assertEqual(self.filters['charfield__iew'].lookup_expr, 'iendswith') self.assertEqual(self.filters['charfield__iew'].exclude, False) self.assertEqual(self.filters['charfield__niew'].lookup_expr, 'iendswith') self.assertEqual(self.filters['charfield__niew'].exclude, True) def test_mac_address_filter(self): self.assertIsInstance(self.filters['macaddressfield'], MACAddressFilter) self.assertEqual(self.filters['macaddressfield'].lookup_expr, 'exact') self.assertEqual(self.filters['macaddressfield'].exclude, False) self.assertEqual(self.filters['macaddressfield__n'].lookup_expr, 'exact') self.assertEqual(self.filters['macaddressfield__n'].exclude, True) self.assertEqual(self.filters['macaddressfield__ie'].lookup_expr, 'iexact') self.assertEqual(self.filters['macaddressfield__ie'].exclude, False) self.assertEqual(self.filters['macaddressfield__nie'].lookup_expr, 'iexact') self.assertEqual(self.filters['macaddressfield__nie'].exclude, True) self.assertEqual(self.filters['macaddressfield__ic'].lookup_expr, 'icontains') self.assertEqual(self.filters['macaddressfield__ic'].exclude, False) self.assertEqual(self.filters['macaddressfield__nic'].lookup_expr, 'icontains') self.assertEqual(self.filters['macaddressfield__nic'].exclude, True) self.assertEqual(self.filters['macaddressfield__isw'].lookup_expr, 'istartswith') self.assertEqual(self.filters['macaddressfield__isw'].exclude, False) self.assertEqual(self.filters['macaddressfield__nisw'].lookup_expr, 'istartswith') self.assertEqual(self.filters['macaddressfield__nisw'].exclude, True) self.assertEqual(self.filters['macaddressfield__iew'].lookup_expr, 'iendswith') self.assertEqual(self.filters['macaddressfield__iew'].exclude, False) self.assertEqual(self.filters['macaddressfield__niew'].lookup_expr, 'iendswith') self.assertEqual(self.filters['macaddressfield__niew'].exclude, True) def test_model_choice_filter(self): self.assertIsInstance(self.filters['modelchoicefield'], django_filters.ModelChoiceFilter) self.assertEqual(self.filters['modelchoicefield'].lookup_expr, 'exact') self.assertEqual(self.filters['modelchoicefield'].exclude, False) self.assertEqual(self.filters['modelchoicefield__n'].lookup_expr, 'exact') self.assertEqual(self.filters['modelchoicefield__n'].exclude, True) def test_model_multiple_choice_filter(self): self.assertIsInstance(self.filters['modelmultiplechoicefield'], django_filters.ModelMultipleChoiceFilter) self.assertEqual(self.filters['modelmultiplechoicefield'].lookup_expr, 'exact') self.assertEqual(self.filters['modelmultiplechoicefield'].exclude, False) self.assertEqual(self.filters['modelmultiplechoicefield__n'].lookup_expr, 'exact') self.assertEqual(self.filters['modelmultiplechoicefield__n'].exclude, True) def test_multi_value_char_filter(self): self.assertIsInstance(self.filters['multivaluecharfield'], MultiValueCharFilter) self.assertEqual(self.filters['multivaluecharfield'].lookup_expr, 'exact') self.assertEqual(self.filters['multivaluecharfield'].exclude, False) self.assertEqual(self.filters['multivaluecharfield__n'].lookup_expr, 'exact') self.assertEqual(self.filters['multivaluecharfield__n'].exclude, True) self.assertEqual(self.filters['multivaluecharfield__ie'].lookup_expr, 'iexact') self.assertEqual(self.filters['multivaluecharfield__ie'].exclude, False) self.assertEqual(self.filters['multivaluecharfield__nie'].lookup_expr, 'iexact') self.assertEqual(self.filters['multivaluecharfield__nie'].exclude, True) self.assertEqual(self.filters['multivaluecharfield__ic'].lookup_expr, 'icontains') self.assertEqual(self.filters['multivaluecharfield__ic'].exclude, False) self.assertEqual(self.filters['multivaluecharfield__nic'].lookup_expr, 'icontains') self.assertEqual(self.filters['multivaluecharfield__nic'].exclude, True) self.assertEqual(self.filters['multivaluecharfield__isw'].lookup_expr, 'istartswith') self.assertEqual(self.filters['multivaluecharfield__isw'].exclude, False) self.assertEqual(self.filters['multivaluecharfield__nisw'].lookup_expr, 'istartswith') self.assertEqual(self.filters['multivaluecharfield__nisw'].exclude, True) self.assertEqual(self.filters['multivaluecharfield__iew'].lookup_expr, 'iendswith') self.assertEqual(self.filters['multivaluecharfield__iew'].exclude, False) self.assertEqual(self.filters['multivaluecharfield__niew'].lookup_expr, 'iendswith') self.assertEqual(self.filters['multivaluecharfield__niew'].exclude, True) def test_multi_value_date_filter(self): self.assertIsInstance(self.filters['datefield'], MultiValueDateFilter) self.assertEqual(self.filters['datefield'].lookup_expr, 'exact') self.assertEqual(self.filters['datefield'].exclude, False) self.assertEqual(self.filters['datefield__n'].lookup_expr, 'exact') self.assertEqual(self.filters['datefield__n'].exclude, True) self.assertEqual(self.filters['datefield__lt'].lookup_expr, 'lt') self.assertEqual(self.filters['datefield__lt'].exclude, False) self.assertEqual(self.filters['datefield__lte'].lookup_expr, 'lte') self.assertEqual(self.filters['datefield__lte'].exclude, False) self.assertEqual(self.filters['datefield__gt'].lookup_expr, 'gt') self.assertEqual(self.filters['datefield__gt'].exclude, False) self.assertEqual(self.filters['datefield__gte'].lookup_expr, 'gte') self.assertEqual(self.filters['datefield__gte'].exclude, False) def test_multi_value_datetime_filter(self): self.assertIsInstance(self.filters['datetimefield'], MultiValueDateTimeFilter) self.assertEqual(self.filters['datetimefield'].lookup_expr, 'exact') self.assertEqual(self.filters['datetimefield'].exclude, False) self.assertEqual(self.filters['datetimefield__n'].lookup_expr, 'exact') self.assertEqual(self.filters['datetimefield__n'].exclude, True) self.assertEqual(self.filters['datetimefield__lt'].lookup_expr, 'lt') self.assertEqual(self.filters['datetimefield__lt'].exclude, False) self.assertEqual(self.filters['datetimefield__lte'].lookup_expr, 'lte') self.assertEqual(self.filters['datetimefield__lte'].exclude, False) self.assertEqual(self.filters['datetimefield__gt'].lookup_expr, 'gt') self.assertEqual(self.filters['datetimefield__gt'].exclude, False) self.assertEqual(self.filters['datetimefield__gte'].lookup_expr, 'gte') self.assertEqual(self.filters['datetimefield__gte'].exclude, False) def test_multi_value_number_filter(self): self.assertIsInstance(self.filters['integerfield'], MultiValueNumberFilter) self.assertEqual(self.filters['integerfield'].lookup_expr, 'exact') self.assertEqual(self.filters['integerfield'].exclude, False) self.assertEqual(self.filters['integerfield__n'].lookup_expr, 'exact') self.assertEqual(self.filters['integerfield__n'].exclude, True) self.assertEqual(self.filters['integerfield__lt'].lookup_expr, 'lt') self.assertEqual(self.filters['integerfield__lt'].exclude, False) self.assertEqual(self.filters['integerfield__lte'].lookup_expr, 'lte') self.assertEqual(self.filters['integerfield__lte'].exclude, False) self.assertEqual(self.filters['integerfield__gt'].lookup_expr, 'gt') self.assertEqual(self.filters['integerfield__gt'].exclude, False) self.assertEqual(self.filters['integerfield__gte'].lookup_expr, 'gte') self.assertEqual(self.filters['integerfield__gte'].exclude, False) def test_multi_value_time_filter(self): self.assertIsInstance(self.filters['timefield'], MultiValueTimeFilter) self.assertEqual(self.filters['timefield'].lookup_expr, 'exact') self.assertEqual(self.filters['timefield'].exclude, False) self.assertEqual(self.filters['timefield__n'].lookup_expr, 'exact') self.assertEqual(self.filters['timefield__n'].exclude, True) self.assertEqual(self.filters['timefield__lt'].lookup_expr, 'lt') self.assertEqual(self.filters['timefield__lt'].exclude, False) self.assertEqual(self.filters['timefield__lte'].lookup_expr, 'lte') self.assertEqual(self.filters['timefield__lte'].exclude, False) self.assertEqual(self.filters['timefield__gt'].lookup_expr, 'gt') self.assertEqual(self.filters['timefield__gt'].exclude, False) self.assertEqual(self.filters['timefield__gte'].lookup_expr, 'gte') self.assertEqual(self.filters['timefield__gte'].exclude, False) def test_multiple_choice_filter(self): self.assertIsInstance(self.filters['multiplechoicefield'], django_filters.MultipleChoiceFilter) self.assertEqual(self.filters['multiplechoicefield'].lookup_expr, 'exact') self.assertEqual(self.filters['multiplechoicefield'].exclude, False) self.assertEqual(self.filters['multiplechoicefield__n'].lookup_expr, 'exact') self.assertEqual(self.filters['multiplechoicefield__n'].exclude, True) self.assertEqual(self.filters['multiplechoicefield__ie'].lookup_expr, 'iexact') self.assertEqual(self.filters['multiplechoicefield__ie'].exclude, False) self.assertEqual(self.filters['multiplechoicefield__nie'].lookup_expr, 'iexact') self.assertEqual(self.filters['multiplechoicefield__nie'].exclude, True) self.assertEqual(self.filters['multiplechoicefield__ic'].lookup_expr, 'icontains') self.assertEqual(self.filters['multiplechoicefield__ic'].exclude, False) self.assertEqual(self.filters['multiplechoicefield__nic'].lookup_expr, 'icontains') self.assertEqual(self.filters['multiplechoicefield__nic'].exclude, True) self.assertEqual(self.filters['multiplechoicefield__isw'].lookup_expr, 'istartswith') self.assertEqual(self.filters['multiplechoicefield__isw'].exclude, False) self.assertEqual(self.filters['multiplechoicefield__nisw'].lookup_expr, 'istartswith') self.assertEqual(self.filters['multiplechoicefield__nisw'].exclude, True) self.assertEqual(self.filters['multiplechoicefield__iew'].lookup_expr, 'iendswith') self.assertEqual(self.filters['multiplechoicefield__iew'].exclude, False) self.assertEqual(self.filters['multiplechoicefield__niew'].lookup_expr, 'iendswith') self.assertEqual(self.filters['multiplechoicefield__niew'].exclude, True) def test_tag_filter(self): self.assertIsInstance(self.filters['tagfield'], TagFilter) self.assertEqual(self.filters['tagfield'].lookup_expr, 'exact') self.assertEqual(self.filters['tagfield'].exclude, False) self.assertEqual(self.filters['tagfield__n'].lookup_expr, 'exact') self.assertEqual(self.filters['tagfield__n'].exclude, True) def test_tree_node_multiple_choice_filter(self): self.assertIsInstance(self.filters['treeforeignkeyfield'], TreeNodeMultipleChoiceFilter) self.assertEqual(self.filters['treeforeignkeyfield'].lookup_expr, 'exact') self.assertEqual(self.filters['treeforeignkeyfield'].exclude, False) self.assertEqual(self.filters['treeforeignkeyfield__n'].lookup_expr, 'in') self.assertEqual(self.filters['treeforeignkeyfield__n'].exclude, True) class DynamicFilterLookupExpressionTest(TestCase): device_queryset = Device.objects.all() device_filterset = DeviceFilterSet site_queryset = Site.objects.all() site_filterset = SiteFilterSet @classmethod def setUpTestData(cls): manufacturers = ( Manufacturer(name='Manufacturer 1', slug='manufacturer-1'), Manufacturer(name='Manufacturer 2', slug='manufacturer-2'), Manufacturer(name='Manufacturer 3', slug='manufacturer-3'), ) Manufacturer.objects.bulk_create(manufacturers) device_types = ( DeviceType(manufacturer=manufacturers[0], model='Model 1', slug='model-1', is_full_depth=True), DeviceType(manufacturer=manufacturers[1], model='Model 2', slug='model-2', is_full_depth=True), DeviceType(manufacturer=manufacturers[2], model='Model 3', slug='model-3', is_full_depth=False), ) DeviceType.objects.bulk_create(device_types) device_roles = ( DeviceRole(name='Device Role 1', slug='device-role-1'), DeviceRole(name='Device Role 2', slug='device-role-2'), DeviceRole(name='Device Role 3', slug='device-role-3'), ) DeviceRole.objects.bulk_create(device_roles) platforms = ( Platform(name='Platform 1', slug='platform-1'), Platform(name='Platform 2', slug='platform-2'), Platform(name='Platform 3', slug='platform-3'), ) Platform.objects.bulk_create(platforms) regions = ( Region(name='Region 1', slug='region-1'), Region(name='Region 2', slug='region-2'), Region(name='Region 3', slug='region-3'), ) for region in regions: region.save() sites = ( Site(name='Site 1', slug='abc-site-1', region=regions[0], asn=65001), Site(name='Site 2', slug='def-site-2', region=regions[1], asn=65101), Site(name='Site 3', slug='ghi-site-3', region=regions[2], asn=65201), ) Site.objects.bulk_create(sites) racks = ( Rack(name='Rack 1', site=sites[0]), Rack(name='Rack 2', site=sites[1]), Rack(name='Rack 3', site=sites[2]), ) Rack.objects.bulk_create(racks) devices = ( Device(name='Device 1', device_type=device_types[0], device_role=device_roles[0], platform=platforms[0], serial='ABC', asset_tag='1001', site=sites[0], rack=racks[0], position=1, face=DeviceFaceChoices.FACE_FRONT, status=DeviceStatusChoices.STATUS_ACTIVE, local_context_data={"foo": 123}), Device(name='Device 2', device_type=device_types[1], device_role=device_roles[1], platform=platforms[1], serial='DEF', asset_tag='1002', site=sites[1], rack=racks[1], position=2, face=DeviceFaceChoices.FACE_FRONT, status=DeviceStatusChoices.STATUS_STAGED), Device(name='Device 3', device_type=device_types[2], device_role=device_roles[2], platform=platforms[2], serial='GHI', asset_tag='1003', site=sites[2], rack=racks[2], position=3, face=DeviceFaceChoices.FACE_REAR, status=DeviceStatusChoices.STATUS_FAILED), ) Device.objects.bulk_create(devices) interfaces = ( Interface(device=devices[0], name='Interface 1', mac_address='00-00-00-00-00-01'), Interface(device=devices[0], name='Interface 2', mac_address='aa-00-00-00-00-01'), Interface(device=devices[1], name='Interface 3', mac_address='00-00-00-00-00-02'), Interface(device=devices[1], name='Interface 4', mac_address='bb-00-00-00-00-02'), Interface(device=devices[2], name='Interface 5', mac_address='00-00-00-00-00-03'), Interface(device=devices[2], name='Interface 6', mac_address='cc-00-00-00-00-03'), ) Interface.objects.bulk_create(interfaces) def test_site_name_negation(self): params = {'name__n': ['Site 1']} self.assertEqual(SiteFilterSet(params, self.site_queryset).qs.count(), 2) def test_site_slug_icontains(self): params = {'slug__ic': ['-1']} self.assertEqual(SiteFilterSet(params, self.site_queryset).qs.count(), 1) def test_site_slug_icontains_negation(self): params = {'slug__nic': ['-1']} self.assertEqual(SiteFilterSet(params, self.site_queryset).qs.count(), 2) def test_site_slug_startswith(self): params = {'slug__isw': ['abc']} self.assertEqual(SiteFilterSet(params, self.site_queryset).qs.count(), 1) def test_site_slug_startswith_negation(self): params = {'slug__nisw': ['abc']} self.assertEqual(SiteFilterSet(params, self.site_queryset).qs.count(), 2) def test_site_slug_endswith(self): params = {'slug__iew': ['-1']} self.assertEqual(SiteFilterSet(params, self.site_queryset).qs.count(), 1) def test_site_slug_endswith_negation(self): params = {'slug__niew': ['-1']} self.assertEqual(SiteFilterSet(params, self.site_queryset).qs.count(), 2) def test_site_asn_lt(self): params = {'asn__lt': [65101]} self.assertEqual(SiteFilterSet(params, self.site_queryset).qs.count(), 1) def test_site_asn_lte(self): params = {'asn__lte': [65101]} self.assertEqual(SiteFilterSet(params, self.site_queryset).qs.count(), 2) def test_site_asn_gt(self): params = {'asn__lt': [65101]} self.assertEqual(SiteFilterSet(params, self.site_queryset).qs.count(), 1) def test_site_asn_gte(self): params = {'asn__gte': [65101]} self.assertEqual(SiteFilterSet(params, self.site_queryset).qs.count(), 2) def test_site_region_negation(self): params = {'region__n': ['region-1']} self.assertEqual(SiteFilterSet(params, self.site_queryset).qs.count(), 2) def test_site_region_id_negation(self): params = {'region_id__n': [Region.objects.first().pk]} self.assertEqual(SiteFilterSet(params, self.site_queryset).qs.count(), 2) def test_device_name_eq(self): params = {'name': ['Device 1']} self.assertEqual(DeviceFilterSet(params, self.device_queryset).qs.count(), 1) def test_device_name_negation(self): params = {'name__n': ['Device 1']} self.assertEqual(DeviceFilterSet(params, self.device_queryset).qs.count(), 2) def test_device_name_startswith(self): params = {'name__isw': ['Device']} self.assertEqual(DeviceFilterSet(params, self.device_queryset).qs.count(), 3) def test_device_name_startswith_negation(self): params = {'name__nisw': ['Device 1']} self.assertEqual(DeviceFilterSet(params, self.device_queryset).qs.count(), 2) def test_device_name_endswith(self): params = {'name__iew': [' 1']} self.assertEqual(DeviceFilterSet(params, self.device_queryset).qs.count(), 1) def test_device_name_endswith_negation(self): params = {'name__niew': [' 1']} self.assertEqual(DeviceFilterSet(params, self.device_queryset).qs.count(), 2) def test_device_name_icontains(self): params = {'name__ic': [' 2']} self.assertEqual(DeviceFilterSet(params, self.device_queryset).qs.count(), 1) def test_device_name_icontains_negation(self): params = {'name__nic': [' ']} self.assertEqual(DeviceFilterSet(params, self.device_queryset).qs.count(), 0) def test_device_mac_address_negation(self): params = {'mac_address__n': ['00-00-00-00-00-01', 'aa-00-00-00-00-01']} self.assertEqual(DeviceFilterSet(params, self.device_queryset).qs.count(), 2) def test_device_mac_address_startswith(self): params = {'mac_address__isw': ['aa:']} self.assertEqual(DeviceFilterSet(params, self.device_queryset).qs.count(), 1) def test_device_mac_address_startswith_negation(self): params = {'mac_address__nisw': ['aa:']} self.assertEqual(DeviceFilterSet(params, self.device_queryset).qs.count(), 2) def test_device_mac_address_endswith(self): params = {'mac_address__iew': [':02']} self.assertEqual(DeviceFilterSet(params, self.device_queryset).qs.count(), 1) def test_device_mac_address_endswith_negation(self): params = {'mac_address__niew': [':02']} self.assertEqual(DeviceFilterSet(params, self.device_queryset).qs.count(), 2) def test_device_mac_address_icontains(self): params = {'mac_address__ic': ['aa:', 'bb']} self.assertEqual(DeviceFilterSet(params, self.device_queryset).qs.count(), 2) def test_device_mac_address_icontains_negation(self): params = {'mac_address__nic': ['aa:', 'bb']} self.assertEqual(DeviceFilterSet(params, self.device_queryset).qs.count(), 1)

true

f70d7e36abbbaadbac053cf1270ce818d3acef9f

7,763

py

Python

volttron/drivers/file_driver.py

kwarodom/mib_ui_data_analytics

a0bc0b30ada1622e00dff41797bd07ea76d7c422

[ "Unlicense" ]

3

2018-11-25T01:09:55.000Z

2021-08-24T01:56:36.000Z

volttron/drivers/file_driver.py

kwarodom/mib_ui_data_analytics

a0bc0b30ada1622e00dff41797bd07ea76d7c422

[ "Unlicense" ]

null

volttron/drivers/file_driver.py

kwarodom/mib_ui_data_analytics

a0bc0b30ada1622e00dff41797bd07ea76d7c422

[ "Unlicense" ]

3

2018-11-09T03:38:09.000Z

2020-02-24T06:26:10.000Z

''' Copyright (c) 2013, Battelle Memorial Institute All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: 1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. 2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. The views and conclusions contained in the software and documentation are those of the authors and should not be interpreted as representing official policies, either expressed or implied, of the FreeBSD Project. ''' ''' This material was prepared as an account of work sponsored by an agency of the United States Government. Neither the United States Government nor the United States Department of Energy, nor Battelle, nor any of their employees, nor any jurisdiction or organization that has cooperated in the development of these materials, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness or any information, apparatus, product, software, or process disclosed, or represents that its use would not infringe privately owned rights. Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise does not necessarily constitute or imply its endorsement, recommendation, r favoring by the United States Government or any agency thereof, or Battelle Memorial Institute. The views and opinions of authors expressed herein do not necessarily state or reflect those of the United States Government or any agency thereof. PACIFIC NORTHWEST NATIONAL LABORATORY operated by BATTELLE for the UNITED STATES DEPARTMENT OF ENERGY under Contract DE-AC05-76RL01830 ''' import os import abc from base import BaseSmapVolttron, BaseInterface, BaseRegister from csv import DictReader import struct path = os.path.dirname(os.path.abspath(__file__)) default_config = os.path.join(path, "example.csv") default_directory = os.path.dirname(os.path.abspath(__file__)) class FileRegister(BaseRegister): __metaclass__ = abc.ABCMeta def __init__(self, type_string, read_only, pointName, units, description = '', directory='.'): self.file_path = os.path.join(directory, pointName) #We only use struct to sort out the type of the register. self.bit_register = type_string.lower() == 'bool' register_type = 'bit' if self.bit_register else 'byte' super(FileRegister, self).__init__(register_type, read_only, pointName, units, description = '') if self.bit_register: self.python_type = int else: try: self.parse_struct = struct.Struct(type_string) except struct.error: raise ValueError("Invalid Register '" + type_string + "' for point " + pointName) struct_types = [type(x) for x in self.parse_struct.unpack('\x00'*self.parse_struct.size)] if len(struct_types) != 1: raise ValueError("Invalid length Register '" + type_string + "' for point " + pointName) self.python_type = struct_types[0] def parse_value(self, value_string): return self.python_type(value_string) def get_value(self): try: with open(self.file_path) as f: return self.parse_value(f.read()) except (ValueError, IOError): #Build up default files. value = self.parse_value('0') print "Creating default file for point: ", self.point_name with open(self.file_path, 'w') as f: f.write(str(value)) return value def set_value(self, value): self.value = value with open(self.file_path, 'w') as f: f.write(str(value)) return value class FileInterface(BaseInterface): def __init__(self, directory=default_directory, config_file=default_config, **kwargs): super(FileInterface, self).__init__(**kwargs) self.parse_config(directory, config_file) def parse_config(self, directory, config_file): if config_file is None: return with open(config_file, 'rb') as f: configDict = DictReader(f) for regDef in configDict: #Skip lines that have no address yet. if not regDef['Point Name']: continue io_type = regDef['Modbus Register'] read_only = regDef['Writable'].lower() != 'true' point_path = regDef['PNNL Point Name'] description = regDef['Notes'] units = regDef['Units'] register = FileRegister(io_type, read_only, point_path, units, description = description, directory=directory) self.insert_register(register) #Getting data in a async manner def get_point_async(self, point_name): return self.get_point_sync(point_name) #setting data in a async manner def set_point_async(self, point_name, value): return self.set_point_sync(point_name, value) #Getting data in a sync manner def get_point_sync(self, point_name): register = self.point_map[point_name] return register.get_value() #setting data in a sync manner def set_point_sync(self, point_name, value): register = self.point_map[point_name] return register.set_value(value) def scrape_all(self): result_dict={} try: for point in self.point_map: result_dict[point]=self.get_point_sync(point) except (IOError): print ("ERROR: Failed to scrape device at " + self.ip_address + ":" + str(self.port) + " " + "ID: " + str(self.slave_id)) return None return result_dict class File(BaseSmapVolttron): """ Fake device backed by a file for each register. Designed to use the modbus configuration file for setup. """ def setup(self, opts): super(File, self).setup(opts) self.set_metadata('/', {'Instrument/Manufacturer' : 'Pacific Northwest National Labratory', 'Extra/Driver' : 'volttron.drivers.file_driver.File'}) def get_interface(self, opts): directory = opts.get('directory', default_directory) config_file = opts.get('register_config', default_config) return FileInterface(directory=directory, config_file=config_file)

42.653846

126

0.669587

''' Copyright (c) 2013, Battelle Memorial Institute All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: 1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. 2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. The views and conclusions contained in the software and documentation are those of the authors and should not be interpreted as representing official policies, either expressed or implied, of the FreeBSD Project. ''' ''' This material was prepared as an account of work sponsored by an agency of the United States Government. Neither the United States Government nor the United States Department of Energy, nor Battelle, nor any of their employees, nor any jurisdiction or organization that has cooperated in the development of these materials, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness or any information, apparatus, product, software, or process disclosed, or represents that its use would not infringe privately owned rights. Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise does not necessarily constitute or imply its endorsement, recommendation, r favoring by the United States Government or any agency thereof, or Battelle Memorial Institute. The views and opinions of authors expressed herein do not necessarily state or reflect those of the United States Government or any agency thereof. PACIFIC NORTHWEST NATIONAL LABORATORY operated by BATTELLE for the UNITED STATES DEPARTMENT OF ENERGY under Contract DE-AC05-76RL01830 ''' import os import abc from base import BaseSmapVolttron, BaseInterface, BaseRegister from csv import DictReader import struct path = os.path.dirname(os.path.abspath(__file__)) default_config = os.path.join(path, "example.csv") default_directory = os.path.dirname(os.path.abspath(__file__)) class FileRegister(BaseRegister): __metaclass__ = abc.ABCMeta def __init__(self, type_string, read_only, pointName, units, description = '', directory='.'): self.file_path = os.path.join(directory, pointName) self.bit_register = type_string.lower() == 'bool' register_type = 'bit' if self.bit_register else 'byte' super(FileRegister, self).__init__(register_type, read_only, pointName, units, description = '') if self.bit_register: self.python_type = int else: try: self.parse_struct = struct.Struct(type_string) except struct.error: raise ValueError("Invalid Register '" + type_string + "' for point " + pointName) struct_types = [type(x) for x in self.parse_struct.unpack('\x00'*self.parse_struct.size)] if len(struct_types) != 1: raise ValueError("Invalid length Register '" + type_string + "' for point " + pointName) self.python_type = struct_types[0] def parse_value(self, value_string): return self.python_type(value_string) def get_value(self): try: with open(self.file_path) as f: return self.parse_value(f.read()) except (ValueError, IOError): value = self.parse_value('0') print "Creating default file for point: ", self.point_name with open(self.file_path, 'w') as f: f.write(str(value)) return value def set_value(self, value): self.value = value with open(self.file_path, 'w') as f: f.write(str(value)) return value class FileInterface(BaseInterface): def __init__(self, directory=default_directory, config_file=default_config, **kwargs): super(FileInterface, self).__init__(**kwargs) self.parse_config(directory, config_file) def parse_config(self, directory, config_file): if config_file is None: return with open(config_file, 'rb') as f: configDict = DictReader(f) for regDef in configDict: if not regDef['Point Name']: continue io_type = regDef['Modbus Register'] read_only = regDef['Writable'].lower() != 'true' point_path = regDef['PNNL Point Name'] description = regDef['Notes'] units = regDef['Units'] register = FileRegister(io_type, read_only, point_path, units, description = description, directory=directory) self.insert_register(register) def get_point_async(self, point_name): return self.get_point_sync(point_name) def set_point_async(self, point_name, value): return self.set_point_sync(point_name, value) def get_point_sync(self, point_name): register = self.point_map[point_name] return register.get_value() def set_point_sync(self, point_name, value): register = self.point_map[point_name] return register.set_value(value) def scrape_all(self): result_dict={} try: for point in self.point_map: result_dict[point]=self.get_point_sync(point) except (IOError): print ("ERROR: Failed to scrape device at " + self.ip_address + ":" + str(self.port) + " " + "ID: " + str(self.slave_id)) return None return result_dict class File(BaseSmapVolttron): """ Fake device backed by a file for each register. Designed to use the modbus configuration file for setup. """ def setup(self, opts): super(File, self).setup(opts) self.set_metadata('/', {'Instrument/Manufacturer' : 'Pacific Northwest National Labratory', 'Extra/Driver' : 'volttron.drivers.file_driver.File'}) def get_interface(self, opts): directory = opts.get('directory', default_directory) config_file = opts.get('register_config', default_config) return FileInterface(directory=directory, config_file=config_file)

false

true

f70d7e3d03834e47c1b983c805108d7a309a34af

759

py

Python

kivyeExemplosDocumentacao/kivy_venv/Scripts/rst2html4.py

wemerson-henrique/kivy

3cb6061a2d19b01e86c3738206f30c8a853763d4

[ "MIT" ]

null

kivyeExemplosDocumentacao/kivy_venv/Scripts/rst2html4.py

wemerson-henrique/kivy

3cb6061a2d19b01e86c3738206f30c8a853763d4

[ "MIT" ]

null

kivyeExemplosDocumentacao/kivy_venv/Scripts/rst2html4.py

wemerson-henrique/kivy

3cb6061a2d19b01e86c3738206f30c8a853763d4

[ "MIT" ]

null

#!C:\Users\WEMERSON\Documents\kivy\kivy_venv\Scripts\python.exe # $Id: rst2html4.py 7994 2016-12-10 17:41:45Z milde $ # Author: David Goodger <goodger@python.org> # Copyright: This module has been placed in the public domain. """ A minimal front end to the Docutils Publisher, producing (X)HTML. The output conforms to XHTML 1.0 transitional and almost to HTML 4.01 transitional (except for closing empty tags). """ try: import locale locale.setlocale(locale.LC_ALL, '') except: pass from docutils.core import publish_cmdline, default_description description = ('Generates (X)HTML documents from standalone reStructuredText ' 'sources. ' + default_description) publish_cmdline(writer_name='html4', description=description)

28.111111

78

0.748353

try: import locale locale.setlocale(locale.LC_ALL, '') except: pass from docutils.core import publish_cmdline, default_description description = ('Generates (X)HTML documents from standalone reStructuredText ' 'sources. ' + default_description) publish_cmdline(writer_name='html4', description=description)

true

f70d7ed397a7bcf7151bee4cf4e26cefe9f07c32

4,432

py

Python

.vim/bundle/ultisnips/pythonx/UltiSnips/text_objects/_snippet_instance.py

geecoo/vim

efe3bdc2edb3419deafe9af676c4f6c9107c9edf

[ "MIT" ]

null

.vim/bundle/ultisnips/pythonx/UltiSnips/text_objects/_snippet_instance.py

geecoo/vim

efe3bdc2edb3419deafe9af676c4f6c9107c9edf

[ "MIT" ]

null

.vim/bundle/ultisnips/pythonx/UltiSnips/text_objects/_snippet_instance.py

geecoo/vim

efe3bdc2edb3419deafe9af676c4f6c9107c9edf

[ "MIT" ]

null

#!/usr/bin/env python # encoding: utf-8 """A Snippet instance is an instance of a Snippet Definition. That is, when the user expands a snippet, a SnippetInstance is created to keep track of the corresponding TextObjects. The Snippet itself is also a TextObject. """ from UltiSnips import _vim from UltiSnips.position import Position from UltiSnips.text_objects._base import EditableTextObject, \ NoneditableTextObject class SnippetInstance(EditableTextObject): """See module docstring.""" # pylint:disable=protected-access def __init__(self, snippet, parent, initial_text, start, end, visual_content, last_re, globals): if start is None: start = Position(0, 0) if end is None: end = Position(0, 0) self.snippet = snippet self._cts = 0 self.locals = {'match': last_re} self.globals = globals self.visual_content = visual_content EditableTextObject.__init__(self, parent, start, end, initial_text) def replace_initial_text(self): """Puts the initial text of all text elements into Vim.""" def _place_initial_text(obj): """recurses on the children to do the work.""" obj.overwrite() if isinstance(obj, EditableTextObject): for child in obj._children: _place_initial_text(child) _place_initial_text(self) def replay_user_edits(self, cmds): """Replay the edits the user has done to keep endings of our Text objects in sync with reality.""" for cmd in cmds: self._do_edit(cmd) def update_textobjects(self): """Update the text objects that should change automagically after the users edits have been replayed. This might also move the Cursor """ vc = _VimCursor(self) done = set() not_done = set() def _find_recursive(obj): """Finds all text objects and puts them into 'not_done'.""" if isinstance(obj, EditableTextObject): for child in obj._children: _find_recursive(child) not_done.add(obj) _find_recursive(self) counter = 10 while (done != not_done) and counter: # Order matters for python locals! for obj in sorted(not_done - done): if obj._update(done): done.add(obj) counter -= 1 if not counter: raise RuntimeError( 'The snippets content did not converge: Check for Cyclic ' 'dependencies or random strings in your snippet. You can use ' "'if not snip.c' to make sure to only expand random output " 'once.') vc.to_vim() self._del_child(vc) def select_next_tab(self, backwards=False): """Selects the next tabstop or the previous if 'backwards' is True.""" if self._cts is None: return if backwards: cts_bf = self._cts res = self._get_prev_tab(self._cts) if res is None: self._cts = cts_bf return self._tabstops.get(self._cts, None) self._cts, ts = res return ts else: res = self._get_next_tab(self._cts) if res is None: self._cts = None return self._tabstops.get(0, None) else: self._cts, ts = res return ts return self._tabstops[self._cts] def _get_tabstop(self, requester, no): # SnippetInstances are completely self contained, therefore, we do not # need to ask our parent for Tabstops cached_parent = self._parent self._parent = None rv = EditableTextObject._get_tabstop(self, requester, no) self._parent = cached_parent return rv class _VimCursor(NoneditableTextObject): """Helper class to keep track of the Vim Cursor when text objects expand and move.""" def __init__(self, parent): NoneditableTextObject.__init__( self, parent, _vim.buf.cursor, _vim.buf.cursor, tiebreaker=Position(-1, -1)) def to_vim(self): """Moves the cursor in the Vim to our position.""" assert self._start == self._end _vim.buf.cursor = self._start

32.115942

78

0.59657

from UltiSnips import _vim from UltiSnips.position import Position from UltiSnips.text_objects._base import EditableTextObject, \ NoneditableTextObject class SnippetInstance(EditableTextObject): def __init__(self, snippet, parent, initial_text, start, end, visual_content, last_re, globals): if start is None: start = Position(0, 0) if end is None: end = Position(0, 0) self.snippet = snippet self._cts = 0 self.locals = {'match': last_re} self.globals = globals self.visual_content = visual_content EditableTextObject.__init__(self, parent, start, end, initial_text) def replace_initial_text(self): def _place_initial_text(obj): obj.overwrite() if isinstance(obj, EditableTextObject): for child in obj._children: _place_initial_text(child) _place_initial_text(self) def replay_user_edits(self, cmds): for cmd in cmds: self._do_edit(cmd) def update_textobjects(self): vc = _VimCursor(self) done = set() not_done = set() def _find_recursive(obj): if isinstance(obj, EditableTextObject): for child in obj._children: _find_recursive(child) not_done.add(obj) _find_recursive(self) counter = 10 while (done != not_done) and counter: for obj in sorted(not_done - done): if obj._update(done): done.add(obj) counter -= 1 if not counter: raise RuntimeError( 'The snippets content did not converge: Check for Cyclic ' 'dependencies or random strings in your snippet. You can use ' "'if not snip.c' to make sure to only expand random output " 'once.') vc.to_vim() self._del_child(vc) def select_next_tab(self, backwards=False): if self._cts is None: return if backwards: cts_bf = self._cts res = self._get_prev_tab(self._cts) if res is None: self._cts = cts_bf return self._tabstops.get(self._cts, None) self._cts, ts = res return ts else: res = self._get_next_tab(self._cts) if res is None: self._cts = None return self._tabstops.get(0, None) else: self._cts, ts = res return ts return self._tabstops[self._cts] def _get_tabstop(self, requester, no): cached_parent = self._parent self._parent = None rv = EditableTextObject._get_tabstop(self, requester, no) self._parent = cached_parent return rv class _VimCursor(NoneditableTextObject): def __init__(self, parent): NoneditableTextObject.__init__( self, parent, _vim.buf.cursor, _vim.buf.cursor, tiebreaker=Position(-1, -1)) def to_vim(self): assert self._start == self._end _vim.buf.cursor = self._start

true

f70d7f4078b609a962c2e557efc5fb82fa7f88e4

1,371

py

Python

finder.py

FelixPcll/Open-CV-Sandbox

1a9a304f9f209cecc3b266b54b59a460e0f4d6e8

[ "Apache-2.0" ]

null

finder.py

FelixPcll/Open-CV-Sandbox

1a9a304f9f209cecc3b266b54b59a460e0f4d6e8

[ "Apache-2.0" ]

null

finder.py

FelixPcll/Open-CV-Sandbox

1a9a304f9f209cecc3b266b54b59a460e0f4d6e8

[ "Apache-2.0" ]

null

"""Docstring """ import cv2 #import numpy as np def find_in_face(haarcascade, rec=False): """Press 'k' for quit """ face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml') smile_cascade = cv2.CascadeClassifier(haarcascade) cap = cv2.VideoCapture(0) if rec: fourcc = cv2.VideoWriter_fourcc(*'XVID') out = cv2.VideoWriter('output.mp4', fourcc, 20.0, (640, 480)) while True: _, original = cap.read() gray = cv2.cvtColor(original, cv2.COLOR_BGR2GRAY) faces = face_cascade.detectMultiScale(gray, 1.3, 5) for (fx, fy, fw, fh) in faces: cv2.rectangle(original, pt1=(fx, fy), pt2=( fx+fw, fy+fh), color=(0, 0, 255), thickness=2) roi_gray = gray[fy:fy+fh, fx:fx+fw] roi_color = original[fy:fy+fh, fx:fx+fw] smiles = smile_cascade.detectMultiScale(roi_gray) for (sx, sy, sw, sh) in smiles: cv2.rectangle(roi_color, pt1=(sx, sy), pt2=( sx+sw, sy+sh), color=(255, 0, 0), thickness=2) if rec: out.write(original) cv2.imshow('Image', original) if cv2.waitKey(1) & 0xFF == ord('k'): break cap.release() if rec: out.release() cv2.destroyAllWindows() find_in_face('haarcascade_eye.xml', rec=False)

26.882353

79

0.57841

import cv2 def find_in_face(haarcascade, rec=False): face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml') smile_cascade = cv2.CascadeClassifier(haarcascade) cap = cv2.VideoCapture(0) if rec: fourcc = cv2.VideoWriter_fourcc(*'XVID') out = cv2.VideoWriter('output.mp4', fourcc, 20.0, (640, 480)) while True: _, original = cap.read() gray = cv2.cvtColor(original, cv2.COLOR_BGR2GRAY) faces = face_cascade.detectMultiScale(gray, 1.3, 5) for (fx, fy, fw, fh) in faces: cv2.rectangle(original, pt1=(fx, fy), pt2=( fx+fw, fy+fh), color=(0, 0, 255), thickness=2) roi_gray = gray[fy:fy+fh, fx:fx+fw] roi_color = original[fy:fy+fh, fx:fx+fw] smiles = smile_cascade.detectMultiScale(roi_gray) for (sx, sy, sw, sh) in smiles: cv2.rectangle(roi_color, pt1=(sx, sy), pt2=( sx+sw, sy+sh), color=(255, 0, 0), thickness=2) if rec: out.write(original) cv2.imshow('Image', original) if cv2.waitKey(1) & 0xFF == ord('k'): break cap.release() if rec: out.release() cv2.destroyAllWindows() find_in_face('haarcascade_eye.xml', rec=False)

true

f70d7f822489ab016bc95880bbd0a5fbffc9331c

1,308

py

Python

model/protonet.py

ashblib/protocell

037c3aa6ab2250eae09889729d512c243518e282

[ "MIT" ]

null

model/protonet.py

ashblib/protocell

037c3aa6ab2250eae09889729d512c243518e282

[ "MIT" ]

null

model/protonet.py

ashblib/protocell

037c3aa6ab2250eae09889729d512c243518e282

[ "MIT" ]

null

import torch.nn as nn import torch class ProtoNetBig(nn.Module): def __init__(self, x_dim=23433, hid_dim=[2000, 1000, 500, 250], z_dim=100): super(ProtoNetBig, self).__init__() self.linear0 = nn.Linear(x_dim, hid_dim[0]) self.bn1 = nn.BatchNorm1d(hid_dim[0]) self.linear1 = nn.Linear(hid_dim[0], hid_dim[1]) self.bn2 = nn.BatchNorm1d(hid_dim[1]) self.linear2 = nn.Linear(hid_dim[1] + hid_dim[0], hid_dim[2]) self.bn3 = nn.BatchNorm1d(hid_dim[2]) self.linear3 = nn.Linear(hid_dim[1] + hid_dim[0] + hid_dim[2], hid_dim[3]) self.bn4 = nn.BatchNorm1d(hid_dim[3]) self.linear4 = nn.Linear(hid_dim[1] + hid_dim[0] + hid_dim[2] + hid_dim[3], z_dim) self.relu = nn.ReLU(inplace=True) self.dropout = nn.Dropout(inplace=True) def forward(self, x): out = self.dropout(self.bn1(self.relu(self.linear0(x)))) out1 = self.dropout(self.bn2(self.relu(self.linear1(out)))) out2 = torch.cat([out, out1], 1) out3 = self.dropout(self.bn3(self.relu(self.linear2(out2)))) out4 = torch.cat([out, out1, out3], 1) out5 = self.dropout(self.bn4(self.relu(self.linear3(out4)))) out6 = torch.cat([out, out1, out3, out5], 1) out7 = self.linear4(out6) return out7

48.444444

90

0.619266

import torch.nn as nn import torch class ProtoNetBig(nn.Module): def __init__(self, x_dim=23433, hid_dim=[2000, 1000, 500, 250], z_dim=100): super(ProtoNetBig, self).__init__() self.linear0 = nn.Linear(x_dim, hid_dim[0]) self.bn1 = nn.BatchNorm1d(hid_dim[0]) self.linear1 = nn.Linear(hid_dim[0], hid_dim[1]) self.bn2 = nn.BatchNorm1d(hid_dim[1]) self.linear2 = nn.Linear(hid_dim[1] + hid_dim[0], hid_dim[2]) self.bn3 = nn.BatchNorm1d(hid_dim[2]) self.linear3 = nn.Linear(hid_dim[1] + hid_dim[0] + hid_dim[2], hid_dim[3]) self.bn4 = nn.BatchNorm1d(hid_dim[3]) self.linear4 = nn.Linear(hid_dim[1] + hid_dim[0] + hid_dim[2] + hid_dim[3], z_dim) self.relu = nn.ReLU(inplace=True) self.dropout = nn.Dropout(inplace=True) def forward(self, x): out = self.dropout(self.bn1(self.relu(self.linear0(x)))) out1 = self.dropout(self.bn2(self.relu(self.linear1(out)))) out2 = torch.cat([out, out1], 1) out3 = self.dropout(self.bn3(self.relu(self.linear2(out2)))) out4 = torch.cat([out, out1, out3], 1) out5 = self.dropout(self.bn4(self.relu(self.linear3(out4)))) out6 = torch.cat([out, out1, out3, out5], 1) out7 = self.linear4(out6) return out7

true

f70d7ff4243d506dde9a8af610c28d0217c59943

464

py

Python

riverswim_variants/__init__.py

RevanMacQueen/Riverswim-Variants

a3593c6b2960185e1815b79aba5a2ccdb6ff9ea7

[ "MIT" ]

null

riverswim_variants/__init__.py

RevanMacQueen/Riverswim-Variants

a3593c6b2960185e1815b79aba5a2ccdb6ff9ea7

[ "MIT" ]

null

riverswim_variants/__init__.py

RevanMacQueen/Riverswim-Variants

a3593c6b2960185e1815b79aba5a2ccdb6ff9ea7

[ "MIT" ]

1

2022-03-08T05:29:00.000Z

from gym.envs.registration import register register( id='scaled-riverswim-v0', entry_point='riverswim_variants.envs:ScaledRiverSwimEnv', max_episode_steps=20, ) register( id='stochastic-riverswim-v0', entry_point='riverswim_variants.envs:StochasticRiverSwimEnv', max_episode_steps=20, ) register( id='skewed-stochastic-riverswim-v0', entry_point='riverswim_variants.envs:SkewedStochasticRiverSwimEnv', max_episode_steps=20, )

24.421053

71

0.767241

from gym.envs.registration import register register( id='scaled-riverswim-v0', entry_point='riverswim_variants.envs:ScaledRiverSwimEnv', max_episode_steps=20, ) register( id='stochastic-riverswim-v0', entry_point='riverswim_variants.envs:StochasticRiverSwimEnv', max_episode_steps=20, ) register( id='skewed-stochastic-riverswim-v0', entry_point='riverswim_variants.envs:SkewedStochasticRiverSwimEnv', max_episode_steps=20, )

true

f70d80da40a72c207edfcfc1509e820846f0b731

7,620

py

Python

sold2/model/model_util.py

XiaoJake/SOLD2

ddd36788c112136be2975ee29b096df979571bb2

[ "MIT" ]

null

sold2/model/model_util.py

XiaoJake/SOLD2

ddd36788c112136be2975ee29b096df979571bb2

[ "MIT" ]

null

sold2/model/model_util.py

XiaoJake/SOLD2

ddd36788c112136be2975ee29b096df979571bb2

[ "MIT" ]

null

import torch import torch.nn as nn import torch.nn.init as init from .nets.backbone import HourglassBackbone, SuperpointBackbone from .nets.junction_decoder import SuperpointDecoder from .nets.heatmap_decoder import PixelShuffleDecoder from .nets.descriptor_decoder import SuperpointDescriptor def get_model(model_cfg=None, loss_weights=None, mode="train"): """ Get model based on the model configuration. """ # Check dataset config is given if model_cfg is None: raise ValueError("[Error] The model config is required!") # List the supported options here print("\n\n\t--------Initializing model----------") supported_arch = ["simple"] if not model_cfg["model_architecture"] in supported_arch: raise ValueError( "[Error] The model architecture is not in supported arch!") if model_cfg["model_architecture"] == "simple": model = SOLD2Net(model_cfg) else: raise ValueError( "[Error] The model architecture is not in supported arch!") # Optionally register loss weights to the model if mode == "train": if loss_weights is not None: for param_name, param in loss_weights.items(): if isinstance(param, nn.Parameter): print("\t [Debug] Adding %s with value %f to model" % (param_name, param.item())) model.register_parameter(param_name, param) else: raise ValueError( "[Error] the loss weights can not be None in dynamic weighting mode during training.") # Display some summary info. print("\tModel architecture: %s" % model_cfg["model_architecture"]) print("\tBackbone: %s" % model_cfg["backbone"]) print("\tJunction decoder: %s" % model_cfg["junction_decoder"]) print("\tHeatmap decoder: %s" % model_cfg["heatmap_decoder"]) print("\t-------------------------------------") return model class SOLD2Net(nn.Module): """ Full network for SOLD². """ def __init__(self, model_cfg): super(SOLD2Net, self).__init__() self.name = model_cfg["model_name"] self.cfg = model_cfg # List supported network options self.supported_backbone = ["lcnn", "superpoint"] self.backbone_net, self.feat_channel = self.get_backbone() # List supported junction decoder options self.supported_junction_decoder = ["superpoint_decoder"] self.junction_decoder = self.get_junction_decoder() # List supported heatmap decoder options self.supported_heatmap_decoder = ["pixel_shuffle", "pixel_shuffle_single"] self.heatmap_decoder = self.get_heatmap_decoder() # List supported descriptor decoder options if "descriptor_decoder" in self.cfg: self.supported_descriptor_decoder = ["superpoint_descriptor"] self.descriptor_decoder = self.get_descriptor_decoder() # Initialize the model weights self.apply(weight_init) def forward(self, input_images): # The backbone features = self.backbone_net(input_images) # junction decoder junctions = self.junction_decoder(features) # heatmap decoder heatmaps = self.heatmap_decoder(features) outputs = {"junctions": junctions, "heatmap": heatmaps} # Descriptor decoder if "descriptor_decoder" in self.cfg: outputs["descriptors"] = self.descriptor_decoder(features) return outputs def get_backbone(self): """ Retrieve the backbone encoder network. """ if not self.cfg["backbone"] in self.supported_backbone: raise ValueError( "[Error] The backbone selection is not supported.") # lcnn backbone (stacked hourglass) if self.cfg["backbone"] == "lcnn": backbone_cfg = self.cfg["backbone_cfg"] backbone = HourglassBackbone(**backbone_cfg) feat_channel = 256 elif self.cfg["backbone"] == "superpoint": backbone_cfg = self.cfg["backbone_cfg"] backbone = SuperpointBackbone() feat_channel = 128 else: raise ValueError( "[Error] The backbone selection is not supported.") return backbone, feat_channel def get_junction_decoder(self): """ Get the junction decoder. """ if (not self.cfg["junction_decoder"] in self.supported_junction_decoder): raise ValueError( "[Error] The junction decoder selection is not supported.") # superpoint decoder if self.cfg["junction_decoder"] == "superpoint_decoder": decoder = SuperpointDecoder(self.feat_channel, self.cfg["backbone"]) else: raise ValueError( "[Error] The junction decoder selection is not supported.") return decoder def get_heatmap_decoder(self): """ Get the heatmap decoder. """ if not self.cfg["heatmap_decoder"] in self.supported_heatmap_decoder: raise ValueError( "[Error] The heatmap decoder selection is not supported.") # Pixel_shuffle decoder if self.cfg["heatmap_decoder"] == "pixel_shuffle": if self.cfg["backbone"] == "lcnn": decoder = PixelShuffleDecoder(self.feat_channel, num_upsample=2) elif self.cfg["backbone"] == "superpoint": decoder = PixelShuffleDecoder(self.feat_channel, num_upsample=3) else: raise ValueError("[Error] Unknown backbone option.") # Pixel_shuffle decoder with single channel output elif self.cfg["heatmap_decoder"] == "pixel_shuffle_single": if self.cfg["backbone"] == "lcnn": decoder = PixelShuffleDecoder( self.feat_channel, num_upsample=2, output_channel=1) elif self.cfg["backbone"] == "superpoint": decoder = PixelShuffleDecoder( self.feat_channel, num_upsample=3, output_channel=1) else: raise ValueError("[Error] Unknown backbone option.") else: raise ValueError( "[Error] The heatmap decoder selection is not supported.") return decoder def get_descriptor_decoder(self): """ Get the descriptor decoder. """ if (not self.cfg["descriptor_decoder"] in self.supported_descriptor_decoder): raise ValueError( "[Error] The descriptor decoder selection is not supported.") # SuperPoint descriptor if self.cfg["descriptor_decoder"] == "superpoint_descriptor": decoder = SuperpointDescriptor(self.feat_channel) else: raise ValueError( "[Error] The descriptor decoder selection is not supported.") return decoder def weight_init(m): """ Weight initialization function. """ # Conv2D if isinstance(m, nn.Conv2d): init.xavier_normal_(m.weight.data) if m.bias is not None: init.normal_(m.bias.data) # Batchnorm elif isinstance(m, nn.BatchNorm2d): init.normal_(m.weight.data, mean=1, std=0.02) init.constant_(m.bias.data, 0) # Linear elif isinstance(m, nn.Linear): init.xavier_normal_(m.weight.data) init.normal_(m.bias.data) else: pass

37.352941

102

0.608793

import torch import torch.nn as nn import torch.nn.init as init from .nets.backbone import HourglassBackbone, SuperpointBackbone from .nets.junction_decoder import SuperpointDecoder from .nets.heatmap_decoder import PixelShuffleDecoder from .nets.descriptor_decoder import SuperpointDescriptor def get_model(model_cfg=None, loss_weights=None, mode="train"): if model_cfg is None: raise ValueError("[Error] The model config is required!") print("\n\n\t--------Initializing model----------") supported_arch = ["simple"] if not model_cfg["model_architecture"] in supported_arch: raise ValueError( "[Error] The model architecture is not in supported arch!") if model_cfg["model_architecture"] == "simple": model = SOLD2Net(model_cfg) else: raise ValueError( "[Error] The model architecture is not in supported arch!") if mode == "train": if loss_weights is not None: for param_name, param in loss_weights.items(): if isinstance(param, nn.Parameter): print("\t [Debug] Adding %s with value %f to model" % (param_name, param.item())) model.register_parameter(param_name, param) else: raise ValueError( "[Error] the loss weights can not be None in dynamic weighting mode during training.") print("\tModel architecture: %s" % model_cfg["model_architecture"]) print("\tBackbone: %s" % model_cfg["backbone"]) print("\tJunction decoder: %s" % model_cfg["junction_decoder"]) print("\tHeatmap decoder: %s" % model_cfg["heatmap_decoder"]) print("\t-------------------------------------") return model class SOLD2Net(nn.Module): def __init__(self, model_cfg): super(SOLD2Net, self).__init__() self.name = model_cfg["model_name"] self.cfg = model_cfg self.supported_backbone = ["lcnn", "superpoint"] self.backbone_net, self.feat_channel = self.get_backbone() self.supported_junction_decoder = ["superpoint_decoder"] self.junction_decoder = self.get_junction_decoder() self.supported_heatmap_decoder = ["pixel_shuffle", "pixel_shuffle_single"] self.heatmap_decoder = self.get_heatmap_decoder() if "descriptor_decoder" in self.cfg: self.supported_descriptor_decoder = ["superpoint_descriptor"] self.descriptor_decoder = self.get_descriptor_decoder() self.apply(weight_init) def forward(self, input_images): features = self.backbone_net(input_images) junctions = self.junction_decoder(features) heatmaps = self.heatmap_decoder(features) outputs = {"junctions": junctions, "heatmap": heatmaps} if "descriptor_decoder" in self.cfg: outputs["descriptors"] = self.descriptor_decoder(features) return outputs def get_backbone(self): if not self.cfg["backbone"] in self.supported_backbone: raise ValueError( "[Error] The backbone selection is not supported.") if self.cfg["backbone"] == "lcnn": backbone_cfg = self.cfg["backbone_cfg"] backbone = HourglassBackbone(**backbone_cfg) feat_channel = 256 elif self.cfg["backbone"] == "superpoint": backbone_cfg = self.cfg["backbone_cfg"] backbone = SuperpointBackbone() feat_channel = 128 else: raise ValueError( "[Error] The backbone selection is not supported.") return backbone, feat_channel def get_junction_decoder(self): if (not self.cfg["junction_decoder"] in self.supported_junction_decoder): raise ValueError( "[Error] The junction decoder selection is not supported.") if self.cfg["junction_decoder"] == "superpoint_decoder": decoder = SuperpointDecoder(self.feat_channel, self.cfg["backbone"]) else: raise ValueError( "[Error] The junction decoder selection is not supported.") return decoder def get_heatmap_decoder(self): if not self.cfg["heatmap_decoder"] in self.supported_heatmap_decoder: raise ValueError( "[Error] The heatmap decoder selection is not supported.") if self.cfg["heatmap_decoder"] == "pixel_shuffle": if self.cfg["backbone"] == "lcnn": decoder = PixelShuffleDecoder(self.feat_channel, num_upsample=2) elif self.cfg["backbone"] == "superpoint": decoder = PixelShuffleDecoder(self.feat_channel, num_upsample=3) else: raise ValueError("[Error] Unknown backbone option.") elif self.cfg["heatmap_decoder"] == "pixel_shuffle_single": if self.cfg["backbone"] == "lcnn": decoder = PixelShuffleDecoder( self.feat_channel, num_upsample=2, output_channel=1) elif self.cfg["backbone"] == "superpoint": decoder = PixelShuffleDecoder( self.feat_channel, num_upsample=3, output_channel=1) else: raise ValueError("[Error] Unknown backbone option.") else: raise ValueError( "[Error] The heatmap decoder selection is not supported.") return decoder def get_descriptor_decoder(self): if (not self.cfg["descriptor_decoder"] in self.supported_descriptor_decoder): raise ValueError( "[Error] The descriptor decoder selection is not supported.") if self.cfg["descriptor_decoder"] == "superpoint_descriptor": decoder = SuperpointDescriptor(self.feat_channel) else: raise ValueError( "[Error] The descriptor decoder selection is not supported.") return decoder def weight_init(m): if isinstance(m, nn.Conv2d): init.xavier_normal_(m.weight.data) if m.bias is not None: init.normal_(m.bias.data) elif isinstance(m, nn.BatchNorm2d): init.normal_(m.weight.data, mean=1, std=0.02) init.constant_(m.bias.data, 0) elif isinstance(m, nn.Linear): init.xavier_normal_(m.weight.data) init.normal_(m.bias.data) else: pass

true

f70d80f76d6e011cd307a69711f004a7e641cdc4

2,414

py

Python

dipy/reconst/tests/test_peakdf.py

JohnGriffiths/dipy

5fb38e9b77547cdaf5eb140730444535733ae01d

[ "BSD-3-Clause" ]

1

2016-09-08T19:23:51.000Z

dipy/reconst/tests/test_peakdf.py

JohnGriffiths/dipy

5fb38e9b77547cdaf5eb140730444535733ae01d

[ "BSD-3-Clause" ]

null

dipy/reconst/tests/test_peakdf.py

JohnGriffiths/dipy

5fb38e9b77547cdaf5eb140730444535733ae01d

[ "BSD-3-Clause" ]

null

import numpy as np import numpy.testing as npt from dipy.reconst.peaks import default_sphere, peaks_from_model def test_PeaksAndMetricsDirectionGetter(): class SillyModel(object): def fit(self, data, mask=None): return SillyFit(self) class SillyFit(object): def __init__(self, model): self.model = model def odf(self, sphere): odf = np.zeros(sphere.theta.shape) r = np.random.randint(0, len(odf)) odf[r] = 1 return odf def get_direction(dg, point, dir): newdir = dir.copy() state = dg.get_direction(point, newdir) return (state, np.array(newdir)) data = np.random.random((3, 4, 5, 2)) peaks = peaks_from_model(SillyModel(), data, default_sphere, relative_peak_threshold=.5, min_separation_angle=25) peaks._initialize() up = np.zeros(3) up[2] = 1. down = -up for i in range(3-1): for j in range(4-1): for k in range(5-1): point = np.array([i, j, k], dtype=float) # Test that the angle threshold rejects points peaks.ang_thr = 0. state, nd = get_direction(peaks, point, up) npt.assert_equal(state, 1) # Here we leverage the fact that we know Hemispheres project # all their vertices into the z >= 0 half of the sphere. peaks.ang_thr = 90. state, nd = get_direction(peaks, point, up) npt.assert_equal(state, 0) expected_dir = peaks.peak_dirs[i, j, k, 0] npt.assert_array_almost_equal(nd, expected_dir) state, nd = get_direction(peaks, point, down) npt.assert_array_almost_equal(nd, -expected_dir) # Check that we can get directions at non-integer points point += np.random.random(3) state, nd = get_direction(peaks, point, up) npt.assert_equal(state, 0) # Check that points are rounded to get initial direction point -= .5 id = peaks.initial_direction(point) # id should be a (1, 3) array npt.assert_array_almost_equal(id, [expected_dir]) if __name__ == "__main__": npt.run_module_suite()

32.621622

76

0.555095

import numpy as np import numpy.testing as npt from dipy.reconst.peaks import default_sphere, peaks_from_model def test_PeaksAndMetricsDirectionGetter(): class SillyModel(object): def fit(self, data, mask=None): return SillyFit(self) class SillyFit(object): def __init__(self, model): self.model = model def odf(self, sphere): odf = np.zeros(sphere.theta.shape) r = np.random.randint(0, len(odf)) odf[r] = 1 return odf def get_direction(dg, point, dir): newdir = dir.copy() state = dg.get_direction(point, newdir) return (state, np.array(newdir)) data = np.random.random((3, 4, 5, 2)) peaks = peaks_from_model(SillyModel(), data, default_sphere, relative_peak_threshold=.5, min_separation_angle=25) peaks._initialize() up = np.zeros(3) up[2] = 1. down = -up for i in range(3-1): for j in range(4-1): for k in range(5-1): point = np.array([i, j, k], dtype=float) peaks.ang_thr = 0. state, nd = get_direction(peaks, point, up) npt.assert_equal(state, 1) peaks.ang_thr = 90. state, nd = get_direction(peaks, point, up) npt.assert_equal(state, 0) expected_dir = peaks.peak_dirs[i, j, k, 0] npt.assert_array_almost_equal(nd, expected_dir) state, nd = get_direction(peaks, point, down) npt.assert_array_almost_equal(nd, -expected_dir) point += np.random.random(3) state, nd = get_direction(peaks, point, up) npt.assert_equal(state, 0) point -= .5 id = peaks.initial_direction(point) npt.assert_array_almost_equal(id, [expected_dir]) if __name__ == "__main__": npt.run_module_suite()

true

f70d822462b0e11e8a773b1e4086ec0734f75d3c

4,226

py

Python

assignment/assignment2/q3_nature.py

reactivetype/cs234-reinforcement-learning

693a90854d6548157ac8ec1c70a90b08810aec1b

[ "MIT" ]

null

assignment/assignment2/q3_nature.py

reactivetype/cs234-reinforcement-learning

693a90854d6548157ac8ec1c70a90b08810aec1b

[ "MIT" ]

null

assignment/assignment2/q3_nature.py

reactivetype/cs234-reinforcement-learning

693a90854d6548157ac8ec1c70a90b08810aec1b

[ "MIT" ]

null

import tensorflow as tf import tensorflow.contrib.layers as layers from utils.general import get_logger from utils.test_env import EnvTest from q1_schedule import LinearExploration, LinearSchedule from q2_linear import Linear from configs.q3_nature import config class NatureQN(Linear): """ Implementing DeepMind's Nature paper. Here are the relevant urls. https://storage.googleapis.com/deepmind-data/assets/papers/DeepMindNature14236Paper.pdf https://www.cs.toronto.edu/~vmnih/docs/dqn.pdf """ def get_q_values_op(self, state, scope, reuse=False): """ Returns Q values for all actions Args: state: (tf tensor) shape = (batch_size, img height, img width, nchannels) scope: (string) scope name, that specifies if target network or not reuse: (bool) reuse of variables in the scope Returns: out: (tf tensor) of shape = (batch_size, num_actions) """ # this information might be useful num_actions = self.env.action_space.n ############################################################## """ TODO: implement the computation of Q values like in the paper https://www.cs.toronto.edu/~vmnih/docs/dqn.pdf you may find the section "model architecture" of the appendix of the nature paper particulary useful. store your result in out of shape = (batch_size, num_actions) HINT: you may find tensorflow.contrib.layers useful (imported) make sure to understand the use of the scope param make sure to flatten() the tensor before connecting it to fully connected layers you can use any other methods from tensorflow you are not allowed to import extra packages (like keras, lasagne, cafe, etc.) """ ############################################################## ################ YOUR CODE HERE - 10-15 lines ################ with tf.variable_scope(scope, reuse): conv1 = layers.conv2d(inputs = state, num_outputs = 32, kernel_size = [8, 8], stride = 4, activation_fn = tf.nn.relu, reuse = reuse, scope = "Conv1") conv2 = layers.conv2d(inputs = conv1, num_outputs = 64, kernel_size = [4, 4], stride = 2, activation_fn = tf.nn.relu, reuse=reuse, scope = "Conv2") conv3 = layers.conv2d(inputs=conv2, num_outputs=64, kernel_size=[3, 3], stride=1, activation_fn=tf.nn.relu, reuse=reuse, scope="Conv3") flattened = layers.flatten(conv3, scope = "flattened") hidden_fc = layers.fully_connected(inputs = flattened, num_outputs = 512, activation_fn = tf.nn.relu, reuse=reuse, scope = "hidden-fc") out = layers.fully_connected(inputs = hidden_fc, num_outputs = num_actions, activation_fn = None, reuse=reuse, scope = "output-Q") ############################################################## ######################## END YOUR CODE ####################### return out """ Use deep Q network for test environment. """ if __name__ == '__main__': env = EnvTest((80, 80, 1)) # exploration strategy exp_schedule = LinearExploration(env, config.eps_begin, config.eps_end, config.eps_nsteps) # learning rate schedule lr_schedule = LinearSchedule(config.lr_begin, config.lr_end, config.lr_nsteps) # train model model = NatureQN(env, config) model.run(exp_schedule, lr_schedule)

42.26

96

0.505206

import tensorflow as tf import tensorflow.contrib.layers as layers from utils.general import get_logger from utils.test_env import EnvTest from q1_schedule import LinearExploration, LinearSchedule from q2_linear import Linear from configs.q3_nature import config class NatureQN(Linear): def get_q_values_op(self, state, scope, reuse=False): num_actions = self.env.action_space.n

true

f70d82790541d8df0e5c0d0f122d90643ea30c26

8,368

py

Python

openmdao/approximation_schemes/complex_step.py

onodip/OpenMDAO

96a99806fb3a547b881d2ad3da2733bca9978567

[ "Apache-2.0" ]

null

openmdao/approximation_schemes/complex_step.py

onodip/OpenMDAO

96a99806fb3a547b881d2ad3da2733bca9978567

[ "Apache-2.0" ]

null

openmdao/approximation_schemes/complex_step.py

onodip/OpenMDAO

96a99806fb3a547b881d2ad3da2733bca9978567

[ "Apache-2.0" ]

null

"""Complex Step derivative approximations.""" from __future__ import division, print_function from itertools import groupby from six.moves import range import numpy as np from openmdao.approximation_schemes.approximation_scheme import ApproximationScheme from openmdao.utils.name_maps import abs_key2rel_key DEFAULT_CS_OPTIONS = { 'step': 1e-15, 'form': 'forward', } class ComplexStep(ApproximationScheme): r""" Approximation scheme using complex step to calculate derivatives. For example, using a step size of 'h' will approximate the derivative in the following way: .. math:: f'(x) = \Im{\frac{f(x+ih)}{h}}. Attributes ---------- _exec_list : list A list of which derivatives (in execution order) to compute. The entries are of the form (of, wrt, options), where of and wrt are absolute names and options is a dictionary. """ def __init__(self): """ Initialize the ApproximationScheme. """ super(ComplexStep, self).__init__() self._exec_list = [] def add_approximation(self, abs_key, kwargs): """ Use this approximation scheme to approximate the derivative d(of)/d(wrt). Parameters ---------- abs_key : tuple(str,str) Absolute name pairing of (of, wrt) for the derivative. kwargs : dict Additional keyword arguments, to be interpreted by sub-classes. """ of, wrt = abs_key options = DEFAULT_CS_OPTIONS.copy() options.update(kwargs) self._exec_list.append((of, wrt, options)) @staticmethod def _key_fun(approx_tuple): """ Compute the sorting key for an approximation tuple. Parameters ---------- approx_tuple : tuple(str, str, dict) A given approximated derivative (of, wrt, options) Returns ------- tuple(str, str, float) Sorting key (wrt, form, step_size) """ options = approx_tuple[2] return (approx_tuple[1], options['form'], options['step']) def _init_approximations(self): """ Prepare for later approximations. """ # itertools.groupby works like `uniq` rather than the SQL query, meaning that it will only # group adjacent items with identical keys. self._exec_list.sort(key=self._key_fun) # TODO: Automatic sparse FD by constructing a graph of variable dependence? def compute_approximations(self, system, jac=None, deriv_type='partial'): """ Execute the system to compute the approximate sub-Jacobians. Parameters ---------- system : System System on which the execution is run. jac : None or dict-like If None, update system with the approximated sub-Jacobians. Otherwise, store the approximations in the given dict-like object. deriv_type : str One of 'total' or 'partial', indicating if total or partial derivatives are being approximated. """ if jac is None: jac = system._jacobian if deriv_type == 'total': current_vec = system._outputs elif deriv_type == 'partial': current_vec = system._residuals else: raise ValueError('deriv_type must be one of "total" or "partial"') # Turn on complex step. system._inputs._vector_info._under_complex_step = True # create a scratch array out_tmp = system._outputs.get_data() results_clone = current_vec._clone(True) # To support driver src_indices, we need to override some checks in Jacobian, but do it # selectively. uses_src_indices = (system._owns_approx_of_idx or system._owns_approx_wrt_idx) and \ not isinstance(jac, dict) for key, approximations in groupby(self._exec_list, self._key_fun): # groupby (along with this key function) will group all 'of's that have the same wrt and # step size. wrt, form, delta = key if form == 'reverse': delta *= -1.0 fact = 1.0 / delta if wrt in system._owns_approx_wrt_idx: in_idx = system._owns_approx_wrt_idx[wrt] in_size = len(in_idx) else: if wrt in system._var_abs2meta: in_size = system._var_abs2meta[wrt]['size'] in_idx = range(in_size) outputs = [] # Note: If access to `approximations` is required again in the future, we will need to # throw it in a list first. The groupby iterator only works once. for approx_tuple in approximations: of = approx_tuple[0] # TODO: Sparse derivatives if of in system._owns_approx_of_idx: out_idx = system._owns_approx_of_idx[of] out_size = len(out_idx) else: out_size = system._var_abs2meta[of]['size'] outputs.append((of, np.zeros((out_size, in_size)))) for i_count, idx in enumerate(in_idx): # Run the Finite Difference input_delta = [(wrt, idx, delta)] result = self._run_point_complex(system, input_delta, out_tmp, results_clone, deriv_type) for of, subjac in outputs: if of in system._owns_approx_of_idx: out_idx = system._owns_approx_of_idx[of] subjac[:, i_count] = result._imag_views_flat[of][out_idx] * fact else: subjac[:, i_count] = result._imag_views_flat[of] * fact for of, subjac in outputs: rel_key = abs_key2rel_key(system, (of, wrt)) if uses_src_indices: jac._override_checks = True jac[rel_key] = subjac if uses_src_indices: jac._override_checks = False # Turn off complex step. system._inputs._vector_info._under_complex_step = False def _run_point_complex(self, system, input_deltas, out_tmp, result_clone, deriv_type='partial'): """ Perturb the system inputs with a complex step, runs, and returns the results. Parameters ---------- system : System The system having its derivs approximated. input_deltas : list List of (input name, indices, delta) tuples, where input name is an absolute name. out_tmp : ndarray An array the same size as the system outputs that is used for temporary storage. result_clone : Vector A vector cloned from the outputs vector. Used to store the results. deriv_type : str One of 'total' or 'partial', indicating if total or partial derivatives are being approximated. Returns ------- Vector Copy of the results from running the perturbed system. """ # TODO: MPI inputs = system._inputs outputs = system._outputs if deriv_type == 'total': run_model = system.run_solve_nonlinear results_vec = outputs elif deriv_type == 'partial': run_model = system.run_apply_nonlinear results_vec = system._residuals else: raise ValueError('deriv_type must be one of "total" or "partial"') for in_name, idxs, delta in input_deltas: if in_name in outputs._imag_views_flat: outputs._imag_views_flat[in_name][idxs] += delta else: inputs._imag_views_flat[in_name][idxs] += delta results_vec.get_data(out_tmp) run_model() # TODO: Grab only results of interest result_clone.set_vec(results_vec) results_vec.set_data(out_tmp) for in_name, idxs, delta in input_deltas: if in_name in outputs._imag_views_flat: outputs._imag_views_flat[in_name][idxs] -= delta else: inputs._imag_views_flat[in_name][idxs] -= delta return result_clone

34.866667

100

0.589627

from __future__ import division, print_function from itertools import groupby from six.moves import range import numpy as np from openmdao.approximation_schemes.approximation_scheme import ApproximationScheme from openmdao.utils.name_maps import abs_key2rel_key DEFAULT_CS_OPTIONS = { 'step': 1e-15, 'form': 'forward', } class ComplexStep(ApproximationScheme): def __init__(self): super(ComplexStep, self).__init__() self._exec_list = [] def add_approximation(self, abs_key, kwargs): of, wrt = abs_key options = DEFAULT_CS_OPTIONS.copy() options.update(kwargs) self._exec_list.append((of, wrt, options)) @staticmethod def _key_fun(approx_tuple): options = approx_tuple[2] return (approx_tuple[1], options['form'], options['step']) def _init_approximations(self): self._exec_list.sort(key=self._key_fun) def compute_approximations(self, system, jac=None, deriv_type='partial'): if jac is None: jac = system._jacobian if deriv_type == 'total': current_vec = system._outputs elif deriv_type == 'partial': current_vec = system._residuals else: raise ValueError('deriv_type must be one of "total" or "partial"') system._inputs._vector_info._under_complex_step = True out_tmp = system._outputs.get_data() results_clone = current_vec._clone(True) uses_src_indices = (system._owns_approx_of_idx or system._owns_approx_wrt_idx) and \ not isinstance(jac, dict) for key, approximations in groupby(self._exec_list, self._key_fun): wrt, form, delta = key if form == 'reverse': delta *= -1.0 fact = 1.0 / delta if wrt in system._owns_approx_wrt_idx: in_idx = system._owns_approx_wrt_idx[wrt] in_size = len(in_idx) else: if wrt in system._var_abs2meta: in_size = system._var_abs2meta[wrt]['size'] in_idx = range(in_size) outputs = [] for approx_tuple in approximations: of = approx_tuple[0] if of in system._owns_approx_of_idx: out_idx = system._owns_approx_of_idx[of] out_size = len(out_idx) else: out_size = system._var_abs2meta[of]['size'] outputs.append((of, np.zeros((out_size, in_size)))) for i_count, idx in enumerate(in_idx): input_delta = [(wrt, idx, delta)] result = self._run_point_complex(system, input_delta, out_tmp, results_clone, deriv_type) for of, subjac in outputs: if of in system._owns_approx_of_idx: out_idx = system._owns_approx_of_idx[of] subjac[:, i_count] = result._imag_views_flat[of][out_idx] * fact else: subjac[:, i_count] = result._imag_views_flat[of] * fact for of, subjac in outputs: rel_key = abs_key2rel_key(system, (of, wrt)) if uses_src_indices: jac._override_checks = True jac[rel_key] = subjac if uses_src_indices: jac._override_checks = False system._inputs._vector_info._under_complex_step = False def _run_point_complex(self, system, input_deltas, out_tmp, result_clone, deriv_type='partial'): inputs = system._inputs outputs = system._outputs if deriv_type == 'total': run_model = system.run_solve_nonlinear results_vec = outputs elif deriv_type == 'partial': run_model = system.run_apply_nonlinear results_vec = system._residuals else: raise ValueError('deriv_type must be one of "total" or "partial"') for in_name, idxs, delta in input_deltas: if in_name in outputs._imag_views_flat: outputs._imag_views_flat[in_name][idxs] += delta else: inputs._imag_views_flat[in_name][idxs] += delta results_vec.get_data(out_tmp) run_model() result_clone.set_vec(results_vec) results_vec.set_data(out_tmp) for in_name, idxs, delta in input_deltas: if in_name in outputs._imag_views_flat: outputs._imag_views_flat[in_name][idxs] -= delta else: inputs._imag_views_flat[in_name][idxs] -= delta return result_clone

true

f70d82ff53eaea18aadbc5b3005b76647beb287d

196

py

Python

nipy/neurospin/register/__init__.py

yarikoptic/NiPy-OLD

8759b598ac72d3b9df7414642c7a662ad9c55ece

[ "BSD-3-Clause" ]

1

2015-08-22T16:14:45.000Z

nipy/neurospin/register/__init__.py

yarikoptic/NiPy-OLD

8759b598ac72d3b9df7414642c7a662ad9c55ece

[ "BSD-3-Clause" ]

null

nipy/neurospin/register/__init__.py

yarikoptic/NiPy-OLD

8759b598ac72d3b9df7414642c7a662ad9c55ece

[ "BSD-3-Clause" ]

null

from iconic_matcher import IconicMatcher #from realign4d import TimeSeries, realign4d, resample4d import transform from numpy.testing import Tester test = Tester().test bench = Tester().bench

19.6

56

0.806122

from iconic_matcher import IconicMatcher import transform from numpy.testing import Tester test = Tester().test bench = Tester().bench

true

f70d83e37661707a388cc938f1d05f4e528ac00e

3,117

py

Python

scripts/hailey.py

wcdawn/dotfiles

d069b53b7f19b53767df9e8d67b38b1d6fbf4e28

[ "MIT" ]

1

2019-01-30T01:34:21.000Z

scripts/hailey.py

wcdawn/dotfiles

d069b53b7f19b53767df9e8d67b38b1d6fbf4e28

[ "MIT" ]

null

scripts/hailey.py

wcdawn/dotfiles

d069b53b7f19b53767df9e8d67b38b1d6fbf4e28

[ "MIT" ]

null

#!/bin/python # argument processing import sys, getopt # date and time import datetime import pytz # weather from weather import weatherFormat, twoColumn from ansi import ansi_escape # graphics/image import PIL # requires python-pillow from PIL import Image # webcams import webcam # for organ import requests from io import BytesIO # default options doWeather = True doImage = True whichWebcam = 0 # logical input # -w -- do weather # -i -- do image # integer input # -c -- (1,2) for (lake_view, tree_view) webcam # arguemnt processing myopts, args = getopt.getopt(sys.argv[1:], 'w:i:c:') # o -- option # a -- argument for o, a in myopts: if o == '-w': doWeather = bool(int(a)) elif o == '-i': doImage = bool(int(a)) elif o == '-c': whichWebcam = int(a) else: print(o, a) print('Usage: {:s}') # date/time in Montana now = datetime.datetime.now(pytz.timezone('America/Denver')) print('The time in Las Cruces is:') print(now.strftime('%a %w %b %Y %H:%M:%S %Z')) # days until fname = '/home/wcdawn/hailey/next_visit.txt' fobj = open(fname, 'r') date_str = fobj.readlines() fobj.close() # strip removes leading whitespace, trailing whitespace, and newline characters date_str = date_str[0].strip() next_visit = datetime.datetime.strptime(date_str, '%Y-%m-%d') now = datetime.datetime.now() diff = next_visit - now print() print('Days until next visit: {:d}'.format(diff.days + 1)) # display an image image_fname = '/home/wcdawn/hailey/christmas_pic/portland_canard.jpg' if (doImage): image = Image.open(image_fname) maxsize = (640, 640) image.thumbnail(maxsize, PIL.Image.ANTIALIAS) image.show() # weather location_dict = { 'Missoula': [46.856339, -113.995292], 'Flathead': [47.876957, -114.032290]} location_dict = { 'Las Cruces': [32.288111, -106.743986]} if (doWeather): weather_list = [] for key in location_dict: weather_list.append(weatherFormat(key, location_dict[key][0], location_dict[key][1])) if (len(location_dict) == 1): for i in range(len(weather_list[0])): print(weather_list[0][i]) elif (len(location_dict) == 2): padded_width = 40 for i in range(len(weather_list[0])): blank_size = padded_width - len(ansi_escape.sub('', weather_list[0][i])) print(weather_list[0][i] + blank_size * ' ' + weather_list[1][i]) # webcams # http://webcam.flbs.umt.edu/view/viewer_index.shtml?id=2731 lake_view = 'http://webcam.flbs.umt.edu/mjpg/video.mjpg' # http://webcam2.flbs.umt.edu/view/viewer_index.shtml?id=4824 tree_view = 'http://webcam2.flbs.umt.edu/mjpg/video.mjpg' # https://weather.nmsu.edu/webcams/nmcc-fbg/ organ_view = 'https://weather.nmsu.edu/files/cameras/nmcc-fbg/nmcc-fbg.jpg' if (whichWebcam == 1): webcam.dispWebcam(lake_view) elif (whichWebcam == 2): webcam.dispWebcam(tree_view) elif (whichWebcam == 3): response = requests.get(organ_view) image = Image.open(BytesIO(response.content)) maxsize = (640, 640) image.thumbnail(maxsize, PIL.Image.ANTIALIAS) image.show()

25.975

84

0.667629

import sys, getopt import datetime import pytz from weather import weatherFormat, twoColumn from ansi import ansi_escape import PIL from PIL import Image import webcam import requests from io import BytesIO doWeather = True doImage = True whichWebcam = 0 myopts, args = getopt.getopt(sys.argv[1:], 'w:i:c:') for o, a in myopts: if o == '-w': doWeather = bool(int(a)) elif o == '-i': doImage = bool(int(a)) elif o == '-c': whichWebcam = int(a) else: print(o, a) print('Usage: {:s}') now = datetime.datetime.now(pytz.timezone('America/Denver')) print('The time in Las Cruces is:') print(now.strftime('%a %w %b %Y %H:%M:%S %Z')) fname = '/home/wcdawn/hailey/next_visit.txt' fobj = open(fname, 'r') date_str = fobj.readlines() fobj.close() date_str = date_str[0].strip() next_visit = datetime.datetime.strptime(date_str, '%Y-%m-%d') now = datetime.datetime.now() diff = next_visit - now print() print('Days until next visit: {:d}'.format(diff.days + 1)) image_fname = '/home/wcdawn/hailey/christmas_pic/portland_canard.jpg' if (doImage): image = Image.open(image_fname) maxsize = (640, 640) image.thumbnail(maxsize, PIL.Image.ANTIALIAS) image.show() location_dict = { 'Missoula': [46.856339, -113.995292], 'Flathead': [47.876957, -114.032290]} location_dict = { 'Las Cruces': [32.288111, -106.743986]} if (doWeather): weather_list = [] for key in location_dict: weather_list.append(weatherFormat(key, location_dict[key][0], location_dict[key][1])) if (len(location_dict) == 1): for i in range(len(weather_list[0])): print(weather_list[0][i]) elif (len(location_dict) == 2): padded_width = 40 for i in range(len(weather_list[0])): blank_size = padded_width - len(ansi_escape.sub('', weather_list[0][i])) print(weather_list[0][i] + blank_size * ' ' + weather_list[1][i]) lake_view = 'http://webcam.flbs.umt.edu/mjpg/video.mjpg' tree_view = 'http://webcam2.flbs.umt.edu/mjpg/video.mjpg' organ_view = 'https://weather.nmsu.edu/files/cameras/nmcc-fbg/nmcc-fbg.jpg' if (whichWebcam == 1): webcam.dispWebcam(lake_view) elif (whichWebcam == 2): webcam.dispWebcam(tree_view) elif (whichWebcam == 3): response = requests.get(organ_view) image = Image.open(BytesIO(response.content)) maxsize = (640, 640) image.thumbnail(maxsize, PIL.Image.ANTIALIAS) image.show()

true

f70d852df7ec2783451aeb34c885f027064d3454

1,151

py

Python

tests/test_planning.py

acjackman/note-clerk

1284c41d4a0c5f4a515af188c48576299d15cda6

[ "MIT" ]

1

2020-03-18T19:45:19.000Z

tests/test_planning.py

acjackman/note-clerk

1284c41d4a0c5f4a515af188c48576299d15cda6

[ "MIT" ]

240

2020-03-23T00:41:15.000Z

2022-03-31T20:46:04.000Z

tests/test_planning.py

acjackman/note-clerk

1284c41d4a0c5f4a515af188c48576299d15cda6

[ "MIT" ]

null

import datetime as dt import pytest from note_clerk import planning @pytest.mark.parametrize( "date, quarter", [ (dt.datetime(2020, 1, 1), dt.datetime(2020, 1, 1)), (dt.datetime(2020, 1, 2), dt.datetime(2020, 1, 1)), (dt.datetime(2020, 4, 1), dt.datetime(2020, 4, 1)), (dt.datetime(2020, 4, 2), dt.datetime(2020, 4, 1)), (dt.datetime(2020, 5, 2), dt.datetime(2020, 4, 1)), (dt.datetime(2020, 6, 2), dt.datetime(2020, 4, 1)), (dt.datetime(2020, 7, 2), dt.datetime(2020, 7, 1)), (dt.datetime(2020, 8, 2), dt.datetime(2020, 7, 1)), (dt.datetime(2020, 9, 2), dt.datetime(2020, 7, 1)), (dt.datetime(2020, 10, 2), dt.datetime(2020, 10, 1)), (dt.datetime(2020, 11, 2), dt.datetime(2020, 10, 1)), (dt.datetime(2020, 12, 2), dt.datetime(2020, 10, 1)), ], ) def test_quarter_start(date: dt.datetime, quarter: dt.datetime) -> None: adjusted = planning.quarter_start(date) assert adjusted == quarter def print_with_header(header: str, text: str) -> None: line = "*" * (len(header) + 4) print(f"{line}\n* {header} *\n{line}\n{text}")

34.878788

72

0.582971

import datetime as dt import pytest from note_clerk import planning @pytest.mark.parametrize( "date, quarter", [ (dt.datetime(2020, 1, 1), dt.datetime(2020, 1, 1)), (dt.datetime(2020, 1, 2), dt.datetime(2020, 1, 1)), (dt.datetime(2020, 4, 1), dt.datetime(2020, 4, 1)), (dt.datetime(2020, 4, 2), dt.datetime(2020, 4, 1)), (dt.datetime(2020, 5, 2), dt.datetime(2020, 4, 1)), (dt.datetime(2020, 6, 2), dt.datetime(2020, 4, 1)), (dt.datetime(2020, 7, 2), dt.datetime(2020, 7, 1)), (dt.datetime(2020, 8, 2), dt.datetime(2020, 7, 1)), (dt.datetime(2020, 9, 2), dt.datetime(2020, 7, 1)), (dt.datetime(2020, 10, 2), dt.datetime(2020, 10, 1)), (dt.datetime(2020, 11, 2), dt.datetime(2020, 10, 1)), (dt.datetime(2020, 12, 2), dt.datetime(2020, 10, 1)), ], ) def test_quarter_start(date: dt.datetime, quarter: dt.datetime) -> None: adjusted = planning.quarter_start(date) assert adjusted == quarter def print_with_header(header: str, text: str) -> None: line = "*" * (len(header) + 4) print(f"{line}\n* {header} *\n{line}\n{text}")

true

f70d853bd60308a51a14837c119525ba68a9fc78

576

py

Python

pdc/apps/package/migrations/0003_buildimage_releases.py

tzhaoredhat/automation

a1867dc2d3591fdae1fa7f80d457c25f9705070e

[ "MIT" ]

18

2015-12-15T17:56:18.000Z

2021-04-10T13:49:48.000Z

pdc/apps/package/migrations/0003_buildimage_releases.py

tzhaoredhat/automation

a1867dc2d3591fdae1fa7f80d457c25f9705070e

[ "MIT" ]

303

2015-11-18T07:37:06.000Z

2021-05-26T12:34:01.000Z

pdc/apps/package/migrations/0003_buildimage_releases.py

tzhaoredhat/automation

a1867dc2d3591fdae1fa7f80d457c25f9705070e

[ "MIT" ]

27

2015-11-19T20:33:54.000Z

2021-03-25T08:15:28.000Z

# -*- coding: utf-8 -*- # # Copyright (c) 2015 Red Hat # Licensed under The MIT License (MIT) # http://opensource.org/licenses/MIT # from __future__ import unicode_literals from django.db import models, migrations class Migration(migrations.Migration): dependencies = [ ('release', '0002_auto_20150512_0719'), ('package', '0002_auto_20150512_0714'), ] operations = [ migrations.AddField( model_name='buildimage', name='releases', field=models.ManyToManyField(to='release.Release'), ), ]

22.153846

63

0.631944

from __future__ import unicode_literals from django.db import models, migrations class Migration(migrations.Migration): dependencies = [ ('release', '0002_auto_20150512_0719'), ('package', '0002_auto_20150512_0714'), ] operations = [ migrations.AddField( model_name='buildimage', name='releases', field=models.ManyToManyField(to='release.Release'), ), ]

true

f70d8561e7f64d7ca452a60d51ddc95627b583d7

2,715

py

Python

openGaussBase/testcase/KEYWORDS/reloptions/Opengauss_Function_Keyword_Reloptions_Case0020.py

opengauss-mirror/Yat

aef107a8304b94e5d99b4f1f36eb46755eb8919e

[ "MulanPSL-1.0" ]

null

openGaussBase/testcase/KEYWORDS/reloptions/Opengauss_Function_Keyword_Reloptions_Case0020.py

opengauss-mirror/Yat

aef107a8304b94e5d99b4f1f36eb46755eb8919e

[ "MulanPSL-1.0" ]

null

openGaussBase/testcase/KEYWORDS/reloptions/Opengauss_Function_Keyword_Reloptions_Case0020.py

opengauss-mirror/Yat

aef107a8304b94e5d99b4f1f36eb46755eb8919e

[ "MulanPSL-1.0" ]

null

""" Copyright (c) 2022 Huawei Technologies Co.,Ltd. openGauss is licensed under Mulan PSL v2. You can use this software according to the terms and conditions of the Mulan PSL v2. You may obtain a copy of Mulan PSL v2 at: http://license.coscl.org.cn/MulanPSL2 THIS SOFTWARE IS PROVIDED ON AN "AS IS" BASIS, WITHOUT WARRANTIES OF ANY KIND, EITHER EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO NON-INFRINGEMENT, MERCHANTABILITY OR FIT FOR A PARTICULAR PURPOSE. See the Mulan PSL v2 for more details. """ ''' #-- @testpoint:opengauss关键字reloptions(非保留)，作为目录对象名 ''' import unittest from testcase.utils.Logger import Logger from testcase.utils.Constant import Constant from testcase.utils.CommonSH import CommonSH logger = Logger() commonsh = CommonSH('dbuser') constant = Constant() class Hostname(unittest.TestCase): def setUp(self): logger.info("------------------------ Opengauss_Function_Keyword_Reloptions_Case0020 开始执行--------------------------") # 关键字作为目录对象名不带双引号 - 成功 def test_reloptions_1(self): SqlMdg = commonsh.execut_db_sql('''create directory reloptions as '/tmp/'; drop directory reloptions;''') logger.info(SqlMdg) self.assertIn(constant.CREATE_DIRECTORY_SUCCESS_MSG, SqlMdg) self.assertIn(constant.DROP_DIRECTORY_SUCCESS_MSG, SqlMdg) # 关键字作为目录对象名带双引号—成功 def test_reloptions_2(self): SqlMdg = commonsh.execut_db_sql('''create directory "reloptions" as '/tmp/'; drop directory "reloptions";''') logger.info(SqlMdg) self.assertIn(constant.CREATE_DIRECTORY_SUCCESS_MSG, SqlMdg) self.assertIn(constant.DROP_DIRECTORY_SUCCESS_MSG, SqlMdg) # 关键字作为目录对象名带单引号 - 合理报错 def test_reloptions_3(self): SqlMdg = commonsh.execut_db_sql('''drop directory if exists 'reloptions';''') logger.info(SqlMdg) self.assertIn(constant.SYNTAX_ERROR_MSG, SqlMdg) SqlMdg = commonsh.execut_db_sql(''' create directory 'reloptions' as '/tmp/';''') logger.info(SqlMdg) self.assertIn(constant.SYNTAX_ERROR_MSG, SqlMdg) #关键字作为目录对象名带反引号 - 合理报错 def test_reloptions_4(self): SqlMdg = commonsh.execut_db_sql('''drop directory if exists \`reloptions\`;''') logger.info(SqlMdg) self.assertIn(constant.SYNTAX_ERROR_MSG, SqlMdg) SqlMdg = commonsh.execut_db_sql('''create directory \`reloptions\` as '/tmp/';''') logger.info(SqlMdg) self.assertIn(constant.SYNTAX_ERROR_MSG, SqlMdg) def tearDown(self): logger.info('------------------------ Opengauss_Function_Keyword_Reloptions_Case0020 执行结束--------------------------')

36.689189

126

0.669613

import unittest from testcase.utils.Logger import Logger from testcase.utils.Constant import Constant from testcase.utils.CommonSH import CommonSH logger = Logger() commonsh = CommonSH('dbuser') constant = Constant() class Hostname(unittest.TestCase): def setUp(self): logger.info("------------------------ Opengauss_Function_Keyword_Reloptions_Case0020 开始执行--------------------------") def test_reloptions_1(self): SqlMdg = commonsh.execut_db_sql('''create directory reloptions as '/tmp/'; drop directory reloptions;''') logger.info(SqlMdg) self.assertIn(constant.CREATE_DIRECTORY_SUCCESS_MSG, SqlMdg) self.assertIn(constant.DROP_DIRECTORY_SUCCESS_MSG, SqlMdg) def test_reloptions_2(self): SqlMdg = commonsh.execut_db_sql('''create directory "reloptions" as '/tmp/'; drop directory "reloptions";''') logger.info(SqlMdg) self.assertIn(constant.CREATE_DIRECTORY_SUCCESS_MSG, SqlMdg) self.assertIn(constant.DROP_DIRECTORY_SUCCESS_MSG, SqlMdg) def test_reloptions_3(self): SqlMdg = commonsh.execut_db_sql('''drop directory if exists 'reloptions';''') logger.info(SqlMdg) self.assertIn(constant.SYNTAX_ERROR_MSG, SqlMdg) SqlMdg = commonsh.execut_db_sql(''' create directory 'reloptions' as '/tmp/';''') logger.info(SqlMdg) self.assertIn(constant.SYNTAX_ERROR_MSG, SqlMdg) def test_reloptions_4(self): SqlMdg = commonsh.execut_db_sql('''drop directory if exists \`reloptions\`;''') logger.info(SqlMdg) self.assertIn(constant.SYNTAX_ERROR_MSG, SqlMdg) SqlMdg = commonsh.execut_db_sql('''create directory \`reloptions\` as '/tmp/';''') logger.info(SqlMdg) self.assertIn(constant.SYNTAX_ERROR_MSG, SqlMdg) def tearDown(self): logger.info('------------------------ Opengauss_Function_Keyword_Reloptions_Case0020 执行结束--------------------------')

true

f70d85b46cd37f7c5bcf77fee22d4a9a8c561ef2

488

py

Python

clusterpy/core/contiguity/__init__.py

clusterpy/clusterpy

f08136b806b6c3bdba53422e1bc0e19459a983fa

[ "BSD-3-Clause" ]

48

2015-03-23T14:11:40.000Z

2022-03-25T01:55:32.000Z

clusterpy/core/contiguity/__init__.py

Pandinosaurus/clusterpy

f08136b806b6c3bdba53422e1bc0e19459a983fa

[ "BSD-3-Clause" ]

8

2015-02-22T17:49:38.000Z

2020-11-20T18:03:32.000Z

clusterpy/core/contiguity/__init__.py

Pandinosaurus/clusterpy

f08136b806b6c3bdba53422e1bc0e19459a983fa

[ "BSD-3-Clause" ]

27

2016-03-06T23:53:19.000Z

2021-11-21T19:36:20.000Z

# encoding: latin2 """Data generator module """ __author__ = "Juan C. Duque, Alejandro Betancourt" __credits__ = "Copyright (c) 2009-10 Juan C. Duque" __license__ = "New BSD License" __version__ = "1.0.0" __maintainer__ = "RiSE Group" __email__ = "contacto@rise-group.org" from weightsFromAreas import weightsFromAreas from intersections import fixIntersections from transformations import dict2matrix from transformations import dict2sparseMatrix from output import dict2gal, dict2csv

28.705882

51

0.79918

__author__ = "Juan C. Duque, Alejandro Betancourt" __credits__ = "Copyright (c) 2009-10 Juan C. Duque" __license__ = "New BSD License" __version__ = "1.0.0" __maintainer__ = "RiSE Group" __email__ = "contacto@rise-group.org" from weightsFromAreas import weightsFromAreas from intersections import fixIntersections from transformations import dict2matrix from transformations import dict2sparseMatrix from output import dict2gal, dict2csv

true

f70d86040a54ad30812690780127fc9fd94d4f71

392

py

Python

derrida/wsgi.py

making-books-ren-today/test_eval_4_derrmar

615796efeb517cd12cfb1f8b67e0150f6aaaea66

[ "Apache-2.0" ]

11

2017-04-27T19:28:54.000Z

2021-02-10T23:44:39.000Z

derrida/wsgi.py

making-books-ren-today/test_eval_4_derrmar

615796efeb517cd12cfb1f8b67e0150f6aaaea66

[ "Apache-2.0" ]

280

2017-03-02T14:23:18.000Z

2021-12-01T14:16:48.000Z

derrida/wsgi.py

making-books-ren-today/test_eval_4_derrmar

615796efeb517cd12cfb1f8b67e0150f6aaaea66

[ "Apache-2.0" ]

null

""" WSGI config for derrida project. It exposes the WSGI callable as a module-level variable named ``application``. For more information on this file, see https://docs.djangoproject.com/en/1.10/howto/deployment/wsgi/ """ import os from django.core.wsgi import get_wsgi_application os.environ.setdefault("DJANGO_SETTINGS_MODULE", "derrida.settings") application = get_wsgi_application()

23.058824

78

0.785714

import os from django.core.wsgi import get_wsgi_application os.environ.setdefault("DJANGO_SETTINGS_MODULE", "derrida.settings") application = get_wsgi_application()

true

f70d86a4b0ce8aad33a5069f14e24dc6de5745d3

5,852

py

Python

dashboard/modules/job/tests/test_cli_integration.py

jianoaix/ray

1701b923bc83905f8961c06a6a173e3eba46a936

[ "Apache-2.0" ]

null

dashboard/modules/job/tests/test_cli_integration.py

jianoaix/ray

1701b923bc83905f8961c06a6a173e3eba46a936

[ "Apache-2.0" ]

41

2021-09-21T01:13:48.000Z

2022-03-19T07:12:22.000Z

dashboard/modules/job/tests/test_cli_integration.py

jianoaix/ray

1701b923bc83905f8961c06a6a173e3eba46a936

[ "Apache-2.0" ]

1

2019-09-24T16:24:49.000Z

from contextlib import contextmanager import json import os import logging import sys import subprocess from typing import Optional, Tuple import pytest logger = logging.getLogger(__name__) @contextmanager def set_env_var(key: str, val: Optional[str] = None): old_val = os.environ.get(key, None) if val is not None: os.environ[key] = val elif key in os.environ: del os.environ[key] yield if key in os.environ: del os.environ[key] if old_val is not None: os.environ[key] = old_val @pytest.fixture def ray_start_stop(): subprocess.check_output(["ray", "start", "--head"]) try: with set_env_var("RAY_ADDRESS", "http://127.0.0.1:8265"): yield finally: subprocess.check_output(["ray", "stop", "--force"]) @contextmanager def ray_cluster_manager(): """ Used not as fixture in case we want to set RAY_ADDRESS first. """ subprocess.check_output(["ray", "start", "--head"]) try: yield finally: subprocess.check_output(["ray", "stop", "--force"]) def _run_cmd(cmd: str, should_fail=False) -> Tuple[str, str]: """Convenience wrapper for subprocess.run. We always run with shell=True to simulate the CLI. Asserts that the process succeeds/fails depending on should_fail. Returns (stdout, stderr). """ print(f"Running command: '{cmd}'") p: subprocess.CompletedProcess = subprocess.run( cmd, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE ) if p.returncode == 0: print("Command succeeded.") if should_fail: raise RuntimeError( f"Expected command to fail, but got exit code: {p.returncode}." ) else: print(f"Command failed with exit code: {p.returncode}.") if not should_fail: raise RuntimeError( f"Expected command to succeed, but got exit code: {p.returncode}." ) return p.stdout.decode("utf-8"), p.stderr.decode("utf-8") class TestJobSubmitHook: """Tests the RAY_JOB_SUBMIT_HOOK env var.""" def test_hook(self, ray_start_stop): with set_env_var("RAY_JOB_SUBMIT_HOOK", "ray._private.test_utils.job_hook"): stdout, _ = _run_cmd("ray job submit -- echo hello") assert "hook intercepted: echo hello" in stdout class TestRayAddress: """ Integration version of job CLI test that ensures interaction with the following components are working as expected: 1) Ray client: use of RAY_ADDRESS and ray.init() in job_head.py 2) Ray dashboard: `ray start --head` """ def test_empty_ray_address(self, ray_start_stop): with set_env_var("RAY_ADDRESS", None): stdout, _ = _run_cmd("ray job submit -- echo hello") assert "hello" in stdout assert "succeeded" in stdout @pytest.mark.parametrize( "ray_client_address", ["127.0.0.1:8265", "ray://127.0.0.1:8265"] ) def test_ray_client_address(self, ray_start_stop, ray_client_address: str): with set_env_var("RAY_ADDRESS", ray_client_address): _run_cmd("ray job submit -- echo hello", should_fail=True) def test_valid_http_ray_address(self, ray_start_stop): stdout, _ = _run_cmd("ray job submit -- echo hello") assert "hello" in stdout assert "succeeded" in stdout class TestJobSubmit: def test_basic_submit(self, ray_start_stop): """Should tail logs and wait for process to exit.""" cmd = "sleep 1 && echo hello && sleep 1 && echo hello" stdout, _ = _run_cmd(f"ray job submit -- bash -c '{cmd}'") assert "hello\nhello" in stdout assert "succeeded" in stdout def test_submit_no_wait(self, ray_start_stop): """Should exit immediately w/o printing logs.""" cmd = "echo hello && sleep 1000" stdout, _ = _run_cmd(f"ray job submit --no-wait -- bash -c '{cmd}'") assert "hello" not in stdout assert "Tailing logs until the job exits" not in stdout class TestJobStop: def test_basic_stop(self, ray_start_stop): """Should wait until the job is stopped.""" cmd = "sleep 1000" job_id = "test_basic_stop" _run_cmd(f"ray job submit --no-wait --job-id={job_id} -- {cmd}") stdout, _ = _run_cmd(f"ray job stop {job_id}") assert "Waiting for job" in stdout assert f"Job '{job_id}' was stopped" in stdout def test_stop_no_wait(self, ray_start_stop): """Should not wait until the job is stopped.""" cmd = "echo hello && sleep 1000" job_id = "test_stop_no_wait" _run_cmd(f"ray job submit --no-wait --job-id={job_id} -- bash -c '{cmd}'") stdout, _ = _run_cmd(f"ray job stop --no-wait {job_id}") assert "Waiting for job" not in stdout assert f"Job '{job_id}' was stopped" not in stdout class TestJobList: def test_empty(self, ray_start_stop): stdout, _ = _run_cmd("ray job list") assert "{}" in stdout def test_list(self, ray_start_stop): _run_cmd("ray job submit --job-id='hello_id' -- echo hello") runtime_env = {"env_vars": {"TEST": "123"}} _run_cmd( "ray job submit --job-id='hi_id' " f"--runtime-env-json='{json.dumps(runtime_env)}' -- echo hi" ) stdout, _ = _run_cmd("ray job list") assert "JobInfo" in stdout assert "123" in stdout assert "hello_id" in stdout assert "hi_id" in stdout def test_quote_escaping(ray_start_stop): cmd = "echo \"hello 'world'\"" job_id = "test_quote_escaping" stdout, _ = _run_cmd( f"ray job submit --job-id={job_id} -- {cmd}", ) assert "hello 'world'" in stdout if __name__ == "__main__": sys.exit(pytest.main(["-v", __file__]))

31.294118

84

0.626111

from contextlib import contextmanager import json import os import logging import sys import subprocess from typing import Optional, Tuple import pytest logger = logging.getLogger(__name__) @contextmanager def set_env_var(key: str, val: Optional[str] = None): old_val = os.environ.get(key, None) if val is not None: os.environ[key] = val elif key in os.environ: del os.environ[key] yield if key in os.environ: del os.environ[key] if old_val is not None: os.environ[key] = old_val @pytest.fixture def ray_start_stop(): subprocess.check_output(["ray", "start", "--head"]) try: with set_env_var("RAY_ADDRESS", "http://127.0.0.1:8265"): yield finally: subprocess.check_output(["ray", "stop", "--force"]) @contextmanager def ray_cluster_manager(): subprocess.check_output(["ray", "start", "--head"]) try: yield finally: subprocess.check_output(["ray", "stop", "--force"]) def _run_cmd(cmd: str, should_fail=False) -> Tuple[str, str]: print(f"Running command: '{cmd}'") p: subprocess.CompletedProcess = subprocess.run( cmd, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE ) if p.returncode == 0: print("Command succeeded.") if should_fail: raise RuntimeError( f"Expected command to fail, but got exit code: {p.returncode}." ) else: print(f"Command failed with exit code: {p.returncode}.") if not should_fail: raise RuntimeError( f"Expected command to succeed, but got exit code: {p.returncode}." ) return p.stdout.decode("utf-8"), p.stderr.decode("utf-8") class TestJobSubmitHook: def test_hook(self, ray_start_stop): with set_env_var("RAY_JOB_SUBMIT_HOOK", "ray._private.test_utils.job_hook"): stdout, _ = _run_cmd("ray job submit -- echo hello") assert "hook intercepted: echo hello" in stdout class TestRayAddress: def test_empty_ray_address(self, ray_start_stop): with set_env_var("RAY_ADDRESS", None): stdout, _ = _run_cmd("ray job submit -- echo hello") assert "hello" in stdout assert "succeeded" in stdout @pytest.mark.parametrize( "ray_client_address", ["127.0.0.1:8265", "ray://127.0.0.1:8265"] ) def test_ray_client_address(self, ray_start_stop, ray_client_address: str): with set_env_var("RAY_ADDRESS", ray_client_address): _run_cmd("ray job submit -- echo hello", should_fail=True) def test_valid_http_ray_address(self, ray_start_stop): stdout, _ = _run_cmd("ray job submit -- echo hello") assert "hello" in stdout assert "succeeded" in stdout class TestJobSubmit: def test_basic_submit(self, ray_start_stop): cmd = "sleep 1 && echo hello && sleep 1 && echo hello" stdout, _ = _run_cmd(f"ray job submit -- bash -c '{cmd}'") assert "hello\nhello" in stdout assert "succeeded" in stdout def test_submit_no_wait(self, ray_start_stop): cmd = "echo hello && sleep 1000" stdout, _ = _run_cmd(f"ray job submit --no-wait -- bash -c '{cmd}'") assert "hello" not in stdout assert "Tailing logs until the job exits" not in stdout class TestJobStop: def test_basic_stop(self, ray_start_stop): cmd = "sleep 1000" job_id = "test_basic_stop" _run_cmd(f"ray job submit --no-wait --job-id={job_id} -- {cmd}") stdout, _ = _run_cmd(f"ray job stop {job_id}") assert "Waiting for job" in stdout assert f"Job '{job_id}' was stopped" in stdout def test_stop_no_wait(self, ray_start_stop): cmd = "echo hello && sleep 1000" job_id = "test_stop_no_wait" _run_cmd(f"ray job submit --no-wait --job-id={job_id} -- bash -c '{cmd}'") stdout, _ = _run_cmd(f"ray job stop --no-wait {job_id}") assert "Waiting for job" not in stdout assert f"Job '{job_id}' was stopped" not in stdout class TestJobList: def test_empty(self, ray_start_stop): stdout, _ = _run_cmd("ray job list") assert "{}" in stdout def test_list(self, ray_start_stop): _run_cmd("ray job submit --job-id='hello_id' -- echo hello") runtime_env = {"env_vars": {"TEST": "123"}} _run_cmd( "ray job submit --job-id='hi_id' " f"--runtime-env-json='{json.dumps(runtime_env)}' -- echo hi" ) stdout, _ = _run_cmd("ray job list") assert "JobInfo" in stdout assert "123" in stdout assert "hello_id" in stdout assert "hi_id" in stdout def test_quote_escaping(ray_start_stop): cmd = "echo \"hello 'world'\"" job_id = "test_quote_escaping" stdout, _ = _run_cmd( f"ray job submit --job-id={job_id} -- {cmd}", ) assert "hello 'world'" in stdout if __name__ == "__main__": sys.exit(pytest.main(["-v", __file__]))

true

f70d8714e61a4d5271dd1487b84f2e80f3c91e72

1,783

py

Python

src/tests/ftest/util/check_for_pool.py

gczsjdy/daos

abbd900010562f3acea9c6b1dc2ca98a8d3c71fa

[ "Apache-2.0" ]

null

src/tests/ftest/util/check_for_pool.py

gczsjdy/daos

abbd900010562f3acea9c6b1dc2ca98a8d3c71fa

[ "Apache-2.0" ]

null

src/tests/ftest/util/check_for_pool.py

gczsjdy/daos

abbd900010562f3acea9c6b1dc2ca98a8d3c71fa

[ "Apache-2.0" ]

null

#!/usr/bin/python ''' (C) Copyright 2017-2019 Intel Corporation. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. GOVERNMENT LICENSE RIGHTS-OPEN SOURCE SOFTWARE The Government's rights to use, modify, reproduce, release, perform, display, or disclose this software are subject to the terms of the Apache License as provided in Contract No. B609815. Any reproduction of computer software, computer software documentation, or portions thereof marked with this legend must also reproduce the markings. ''' from __future__ import print_function import subprocess def check_for_pool(host, uuid): """ Function to check if pool folder exist on server Args: host: Server host name uuid: Pool uuid to check if exists return: resp: subprocess return code """ cmd = "test -e /mnt/daos/" + uuid resp = subprocess.call(["ssh", host, cmd]) if resp == 0: print ('%s exists' %uuid) else: print ('%s does not exist' %uuid) return resp def cleanup_pools(hosts): """ To cleanup the pool and content from /mnt/daps/ Args: hosts[list]: Lists of servers name return" None """ for host in hosts: cmd = "rm -rf /mnt/daos/*" subprocess.call(["ssh", host, cmd])

31.839286

79

0.690409

from __future__ import print_function import subprocess def check_for_pool(host, uuid): cmd = "test -e /mnt/daos/" + uuid resp = subprocess.call(["ssh", host, cmd]) if resp == 0: print ('%s exists' %uuid) else: print ('%s does not exist' %uuid) return resp def cleanup_pools(hosts): for host in hosts: cmd = "rm -rf /mnt/daos/*" subprocess.call(["ssh", host, cmd])

true

f70d8858c160355ce2e4c4e67267abae44d1517d

930

py

Python

tests/rules/test_git_rebase_no_changes.py

HiteshMah-Jan/thefuck

132c62262246824470934c2c6f46919ef6f00203

[ "MIT" ]

75,504

2015-04-08T18:22:19.000Z

2022-03-31T23:59:52.000Z

tests/rules/test_git_rebase_no_changes.py

HiteshMah-Jan/thefuck

132c62262246824470934c2c6f46919ef6f00203

[ "MIT" ]

1,160

2015-04-17T18:47:12.000Z

2022-03-30T20:42:26.000Z

tests/rules/test_git_rebase_no_changes.py

HiteshMah-Jan/thefuck

132c62262246824470934c2c6f46919ef6f00203

[ "MIT" ]

4,399

2015-04-17T18:36:04.000Z

2022-03-31T07:01:03.000Z

import pytest from thefuck.rules.git_rebase_no_changes import match, get_new_command from thefuck.types import Command @pytest.fixture def output(): return '''Applying: Test commit No changes - did you forget to use 'git add'? If there is nothing left to stage, chances are that something else already introduced the same changes; you might want to skip this patch. When you have resolved this problem, run "git rebase --continue". If you prefer to skip this patch, run "git rebase --skip" instead. To check out the original branch and stop rebasing, run "git rebase --abort". ''' def test_match(output): assert match(Command('git rebase --continue', output)) assert not match(Command('git rebase --continue', '')) assert not match(Command('git rebase --skip', '')) def test_get_new_command(output): assert (get_new_command(Command('git rebase --continue', output)) == 'git rebase --skip')

32.068966

77

0.727957

import pytest from thefuck.rules.git_rebase_no_changes import match, get_new_command from thefuck.types import Command @pytest.fixture def output(): return '''Applying: Test commit No changes - did you forget to use 'git add'? If there is nothing left to stage, chances are that something else already introduced the same changes; you might want to skip this patch. When you have resolved this problem, run "git rebase --continue". If you prefer to skip this patch, run "git rebase --skip" instead. To check out the original branch and stop rebasing, run "git rebase --abort". ''' def test_match(output): assert match(Command('git rebase --continue', output)) assert not match(Command('git rebase --continue', '')) assert not match(Command('git rebase --skip', '')) def test_get_new_command(output): assert (get_new_command(Command('git rebase --continue', output)) == 'git rebase --skip')

true

f70d88b536f91eeb75cbe4c3aa4f91d5651da5c2

994

py

Python

psets/pset7/houses/roster.py

malgulam/cs50x

e394f1dab3cbfc2a0c11f840fe8fb9dc8cd2b98b

[ "Apache-2.0" ]

null

psets/pset7/houses/roster.py

malgulam/cs50x

e394f1dab3cbfc2a0c11f840fe8fb9dc8cd2b98b

[ "Apache-2.0" ]

null

psets/pset7/houses/roster.py

malgulam/cs50x

e394f1dab3cbfc2a0c11f840fe8fb9dc8cd2b98b

[ "Apache-2.0" ]

null

# TODO import sys from sys import argv import sqlite3 if len(argv) != 2: print("Usage: python roster.py Gryffindor") sys.exit(1) #setting house choice house_choice = argv[1].lower() #working on database db_file = 'students.db' conn = sqlite3.connect(db_file) c = conn.cursor() #connect to db and retrieve house names #todo: get rid of DISTINCT c.execute('''SELECT DISTINCT house from students''') houses = c.fetchall() if house_choice not in houses: print(f'{house_choice} not house in houses.Houses are: {houses}') #retrieve name and birth of persons in that house c.execute(f'''SELECT first, middle, last, birth FROM students WHERE lower(house)="{house_choice}" ORDER BY last, first''') roster = c.fetchall() #since the middle name will be None if not present it's easier to append with each row names_ = list for row in roster: if row[1] != None: print(f'{row[0]} {row[1]} {row[2]} born, {row[3]}') else: print(f'{row[0]} {row[2]} born, {row[3]}')

27.611111

122

0.688129

import sys from sys import argv import sqlite3 if len(argv) != 2: print("Usage: python roster.py Gryffindor") sys.exit(1) house_choice = argv[1].lower() db_file = 'students.db' conn = sqlite3.connect(db_file) c = conn.cursor() c.execute('''SELECT DISTINCT house from students''') houses = c.fetchall() if house_choice not in houses: print(f'{house_choice} not house in houses.Houses are: {houses}') c.execute(f'''SELECT first, middle, last, birth FROM students WHERE lower(house)="{house_choice}" ORDER BY last, first''') roster = c.fetchall() names_ = list for row in roster: if row[1] != None: print(f'{row[0]} {row[1]} {row[2]} born, {row[3]}') else: print(f'{row[0]} {row[2]} born, {row[3]}')

true

f70d8a3d6e019d9852325e39076f9a22e675d4f4

3,833

py

Python

python/base16vlq.py

milahu/random-0bsd

ec031ad1f3e405893ead8954dfab16aecd07f809

[ "MIT" ]

null

python/base16vlq.py

milahu/random-0bsd

ec031ad1f3e405893ead8954dfab16aecd07f809

[ "MIT" ]

null

python/base16vlq.py

milahu/random-0bsd

ec031ad1f3e405893ead8954dfab16aecd07f809

[ "MIT" ]

null

""" base16vlq.py base16 unsigned variable length quantity (VLQ) based on https://gist.github.com/mjpieters/86b0d152bb51d5f5979346d11005588b https://github.com/Rich-Harris/vlq to encode *signed* integers, we would need _abc_len == 17 python -c $'from base16vlq import encode\nfor n in range(0, 64):\n print(f"{n:3d} {encode(n):<3s} ", end="")\n if (n+1) % 8 == 0:\n print()' _shift_size = 3 _carry_flag = 8 = 1000 = 2^3 _mask = 7 = 111 = 2^3-1 _len_abc = 16 = 10000 = 2^4 _bytemax = 15 = 1111 = 2^4-1 _abc_chars = (,:<[$*?)~=>]@&% 0 ( 1 , 2 : 3 < 4 [ 5 $ 6 * 7 ? 8 ), 9 ~, 10 =, 11 >, 12 ], 13 @, 14 &, 15 %, 16 ): 17 ~: 18 =: 19 >: 20 ]: 21 @: 22 &: 23 %: 24 )< 25 ~< 26 =< 27 >< 28 ]< 29 @< 30 &< 31 %< 32 )[ 33 ~[ 34 =[ 35 >[ 36 ][ 37 @[ 38 &[ 39 %[ 40 )$ 41 ~$ 42 =$ 43 >$ 44 ]$ 45 @$ 46 &$ 47 %$ 48 )* 49 ~* 50 =* 51 >* 52 ]* 53 @* 54 &* 55 %* 56 )? 57 ~? 58 =? 59 >? 60 ]? 61 @? 62 &? 63 %? """ from typing import List _abc_chars = b"""(,:<[$*?)~=>]@&%""" # 0123456701234567 # remaining special chars: {}#"'^`;| _abc_table = [None] * (max(_abc_chars) + 1) for i, b in enumerate(_abc_chars): _abc_table[b] = i #_shift_size = 5 # base64 _shift_size = 3 # base16 # one bit is needed for the carry_flag _carry_flag = 1 << _shift_size _mask = (1 << _shift_size) - 1 # 2^4-1 = 15 _bytemax = _mask | _carry_flag _len_abc = _bytemax + 1 # unsigned #_len_abc = _bytemax + 2 # signed? if False: print(f"_shift_size = {_shift_size}") print(f"_carry_flag = {_carry_flag}") print(f"_mask = {_mask}") print(f"_bytemax = {_bytemax}") print(f"_abc_chars = {_abc_chars.decode()}") print(f"_len_abc = {_len_abc}") assert len(_abc_chars) == _len_abc def decode(vlq_code: str) -> List[int]: """Decode Base16 VLQ value""" num_list = [] shift_size, carry_flag, mask = _shift_size, _carry_flag, _mask shift = num = 0 # use byte values and a table to go from base16 characters to integers for clamped in map(_abc_table.__getitem__, vlq_code.encode("ascii")): num += (clamped & mask) << shift if clamped & carry_flag: shift += shift_size continue ## read sign bit #num_sign = -1 if (num & 1) else +1 #num = (num >> 1) * num_sign num_list.append(num) shift = num = 0 return num_list def encode(*num_list: int) -> str: """Encode integers to a VLQ value""" clamped_list = [] shift_size = _shift_size carry_flag = _carry_flag mask = _mask for num in num_list: ## write sign bit #num = (abs(num) << 1) | int(num < 0) if type(num) != int or num < 0: raise ValueError("num must be unsigned integer") while True: clamped = num & mask num = num >> shift_size if num > 0: clamped = clamped | carry_flag clamped_list.append(clamped) if num == 0: break return bytes(map(_abc_chars.__getitem__, clamped_list)).decode() # python -c 'from base16vlq import _test; _test()' def _test(): """throws on error""" for num in range(0, 1024): arr1 = [num, num] code = encode(*arr1) arr2 = decode(code) if not arr1 == arr2: print(f"arr1 = {arr1}") print(f"code = {code}") print(f"arr2 = {arr2}") assert arr1 == arr2 assert decode(encode(1234))[0] == 1234 try: encode(-1) except ValueError: pass try: encode(1.1) except ValueError: pass try: encode("a") except ValueError: pass

29.945313

147

0.525959

from typing import List _abc_chars = b"""(,:<[$*?)~=>]@&%""" table = [None] * (max(_abc_chars) + 1) for i, b in enumerate(_abc_chars): _abc_table[b] = i #_shift_size = 5 # base64 _shift_size = 3 # base16 # one bit is needed for the carry_flag _carry_flag = 1 << _shift_size _mask = (1 << _shift_size) - 1 # 2^4-1 = 15 _bytemax = _mask | _carry_flag _len_abc = _bytemax + 1 # unsigned #_len_abc = _bytemax + 2 # signed? if False: print(f"_shift_size = {_shift_size}") print(f"_carry_flag = {_carry_flag}") print(f"_mask = {_mask}") print(f"_bytemax = {_bytemax}") print(f"_abc_chars = {_abc_chars.decode()}") print(f"_len_abc = {_len_abc}") assert len(_abc_chars) == _len_abc def decode(vlq_code: str) -> List[int]: num_list = [] shift_size, carry_flag, mask = _shift_size, _carry_flag, _mask shift = num = 0 # use byte values and a table to go from base16 characters to integers for clamped in map(_abc_table.__getitem__, vlq_code.encode("ascii")): num += (clamped & mask) << shift if clamped & carry_flag: shift += shift_size continue ## read sign bit #num_sign = -1 if (num & 1) else +1 #num = (num >> 1) * num_sign num_list.append(num) shift = num = 0 return num_list def encode(*num_list: int) -> str: clamped_list = [] shift_size = _shift_size carry_flag = _carry_flag mask = _mask for num in num_list: ## write sign bit #num = (abs(num) << 1) | int(num < 0) if type(num) != int or num < 0: raise ValueError("num must be unsigned integer") while True: clamped = num & mask num = num >> shift_size if num > 0: clamped = clamped | carry_flag clamped_list.append(clamped) if num == 0: break return bytes(map(_abc_chars.__getitem__, clamped_list)).decode() # python -c 'from base16vlq import _test; _test()' def _test(): for num in range(0, 1024): arr1 = [num, num] code = encode(*arr1) arr2 = decode(code) if not arr1 == arr2: print(f"arr1 = {arr1}") print(f"code = {code}") print(f"arr2 = {arr2}") assert arr1 == arr2 assert decode(encode(1234))[0] == 1234 try: encode(-1) except ValueError: pass try: encode(1.1) except ValueError: pass try: encode("a") except ValueError: pass

true

f70d8bd6655f06912e9d1f9d9456dc8e6c6ab973

15,880

py

Python

cnld/util.py

bdshieh/cnl-dyna

9013fa11cabb6ad51aaa385b44ef99cc43bf6a2b

[ "MIT" ]

3

2020-07-08T14:42:50.000Z

2021-11-12T06:11:15.000Z

cnld/util.py

bdshieh/cnl-dyna

9013fa11cabb6ad51aaa385b44ef99cc43bf6a2b

[ "MIT" ]

null

cnld/util.py

bdshieh/cnl-dyna

9013fa11cabb6ad51aaa385b44ef99cc43bf6a2b

[ "MIT" ]

null

''' Utility functions. ''' import argparse import functools import itertools import os import sqlite3 as sql from contextlib import closing from copy import deepcopy from itertools import repeat import numpy as np import pandas as pd import scipy as sp import scipy.fftpack import scipy.signal from cnld import abstract from scipy.spatial.distance import cdist ''' GEOMETRY-RELATED FUNCTIONS ''' def meshview(v1, v2, v3, mode='cartesian', as_list=True): ''' ''' if mode.lower() in ('cart', 'cartesian'): x, y, z = np.meshgrid(v1, v2, v3, indexing='ij') elif mode.lower() in ('sph', 'spherical'): r, theta, phi = np.meshgrid(v1, np.deg2rad(v2), np.deg2rad(v3), indexing='ij') x, y, z = sph2cart(r, theta, phi) elif mode.lower() in ('sec', 'sector'): r, alpha, beta = np.meshgrid(v1, np.deg2rad(v2), np.deg2rad(v3), indexing='ij') x, y, z = sec2cart(r, alpha, beta) elif mode.lower() in ('dp', 'dpolar'): r, alpha, beta = np.meshgrid(v1, np.deg2rad(v2), np.deg2rad(v3), indexing='ij') x, y, z = dp2cart(r, alpha, beta) if as_list: return np.c_[x.ravel('F'), y.ravel('F'), z.ravel('F')] else: return x, y, z def sec2cart(r, alpha, beta): ''' ''' z = r / np.sqrt(np.tan(alpha)**2 + np.tan(beta)**2 + 1) x = z * np.tan(alpha) y = z * np.tan(beta) # alpha_p = np.arctan(np.tan(alpha) * np.cos(beta)) # x = np.sin(alpha_p) * r # y = -np.sin(beta) * r * np.cos(alpha_p) # z = np.sqrt(r**2 - x**2 - y**2) # px = -px # pyp = np.arctan(np.cos(px) * np.sin(py) / np.cos(py)) # x = r * np.sin(pyp) # y = -r * np.cos(pyp) * np.sin(px) # z = r * np.cos(px) * np.cos(pyp) return x, y, z def cart2sec(x, y, z): ''' ''' r = np.sqrt(x**2 + y**2 + z**2) alpha = np.arccos(z / (np.sqrt(x**2 + z**2))) * np.sign(x) beta = np.arccos(z / (np.sqrt(y**2 + z**2))) * np.sign(y) # r = np.sqrt(x**2 + y**2 + z**2) # alpha_p = np.arcsin(x / r) # beta = -np.arcsin(-y / r / np.cos(alpha_p)) # alpha = np.arctan(np.tan(alpha_p) / np.cos(beta)) return r, alpha, beta def sph2cart(r, theta, phi): ''' ''' x = r * np.cos(theta) * np.sin(phi) y = r * np.sin(theta) * np.sin(phi) z = r * np.cos(phi) return x, y, z def cart2sph(x, y, z): ''' ''' r = np.sqrt(x**2 + y**2 + z**2) theta = np.arctan(y / x) phi = np.arccos(z / r) return r, theta, phi def cart2dp(x, y, z): ''' ''' r = np.sqrt(x**2 + y**2 + z**2) alpha = np.arccos((np.sqrt(y**2 + z**2) / r)) beta = np.arccos((np.sqrt(x**2 + z**2) / r)) return r, alpha, beta def dp2cart(r, alpha, beta): ''' ''' z = r * (1 - np.sin(alpha)**2 - np.sin(beta)**2) x = r * np.sin(alpha) y = r * np.sin(beta) return x, y, z def rotation_matrix(vec, angle): ''' ''' if isinstance(vec, str): string = vec.lower() if string == 'x': vec = [1, 0, 0] elif string == '-x': vec = [-1, 0, 0] elif string == 'y': vec = [0, 1, 0] elif string == '-y': vec = [0, -1, 0] elif string == 'z': vec = [0, 0, 1] elif string == '-x': vec = [0, 0, -1] x, y, z = vec a = angle r = np.zeros((3, 3)) r[0, 0] = np.cos(a) + x**2 * (1 - np.cos(a)) r[0, 1] = x * y * (1 - np.cos(a)) - z * np.sin(a) r[0, 2] = x * z * (1 - np.cos(a)) + y * np.sin(a) r[1, 0] = y * x * (1 - np.cos(a)) + z * np.sin(a) r[1, 1] = np.cos(a) + y**2 * (1 - np.cos(a)) r[1, 2] = y * z * (1 - np.cos(a)) - x * np.sin(a) r[2, 0] = z * x * (1 - np.cos(a)) - z * np.sin(a) r[2, 1] = z * y * (1 - np.cos(a)) + x * np.sin(a) r[2, 2] = np.cos(a) + z**2 * (1 - np.cos(a)) return r def rotate_nodes(nodes, vec, angle): ''' ''' rmatrix = rotation_matrix(vec, angle) return rmatrix.dot(nodes.T).T def distance(*args): ''' ''' return cdist(*np.atleast_2d(*args)) ''' SIGNAL PROCESSING AND RF DATA FUNCTIONS ''' def gausspulse(fc, fbw, fs): ''' ''' cutoff = scipy.signal.gausspulse('cutoff', fc=fc, bw=fbw, tpr=-100, bwr=-3) adj_cutoff = np.ceil(cutoff * fs) / fs t = np.arange(-adj_cutoff, adj_cutoff + 1 / fs, 1 / fs) pulse, _ = sp.signal.gausspulse(t, fc=fc, bw=fbw, retquad=True, bwr=-3) return pulse, t def nextpow2(n): ''' ''' return 2**int(np.ceil(np.log2(n))) def envelope(rf_data, N=None, axis=-1): ''' ''' return np.abs(scipy.signal.hilbert(np.atleast_2d(rf_data), N, axis=axis)) def qbutter(x, fn, fs=1, btype='lowpass', n=4, plot=False, axis=-1): ''' ''' wn = fn / (fs / 2.) b, a = sp.signal.butter(n, wn, btype) fx = sp.signal.lfilter(b, a, x, axis=axis) return fx def qfirwin(x, fn, fs=1, btype='lowpass', ntaps=80, plot=False, axis=-1, window='hamming'): ''' ''' if btype.lower() in ('lowpass', 'low'): pass_zero = 1 elif btype.lower() in ('bandpass', 'band'): pass_zero = 0 elif btype.lower() in ('highpass', 'high'): pass_zero = 0 wn = fn / (fs / 2.) b = sp.signal.firwin(ntaps, wn, pass_zero=pass_zero, window=window) fx = np.apply_along_axis(lambda x: np.convolve(x, b), axis, x) return fx def qfft(s, nfft=None, fs=1, dr=100, fig=None, **kwargs): ''' Quick FFT plot. Returns frequency bins and FFT in dB. ''' s = np.atleast_2d(s) nsig, nsample = s.shape if nfft is None: nfft = nsample # if fig is None: # fig = plt.figure(tight_layout=1) # ax = fig.add_subplot(111) # else: # ax = fig.get_axes()[0] if nfft > nsample: s = np.pad(s, ((0, 0), (0, nfft - nsample)), mode='constant') elif nfft < nsample: s = s[:, :nfft] ft = sp.fftpack.fft(s, axis=1) freqs = sp.fftpack.fftfreq(nfft, 1 / fs) ftdb = 20 * np.log10(np.abs(ft) / (np.max(np.abs(ft), axis=1)[..., None])) ftdb[ftdb < -dr] = -dr cutoff = (nfft + 1) // 2 # ax.plot(freqs[:cutoff], ftdb[:, :cutoff].T, **kwargs) # ax.set_xlabel('Frequency (Hz)') # ax.set_ylabel('Magnitude (dB re max)') # fig.show() return freqs[:cutoff], ftdb[:, :cutoff] ''' JOB-RELATED FUNCTIONS ''' def chunks(iterable, n): res = [] for el in iterable: res.append(el) if len(res) == n: yield res res = [] if res: yield res def create_jobs(*args, mode='zip', is_complete=None): ''' Convenience function for creating jobs (sets of input arguments) for multiprocessing Pool. Supports zip and product combinations, and automatic chunking of iterables. ''' static_args = list() static_idx = list() iterable_args = list() iterable_idx = list() for arg_no, arg in enumerate(args): if isinstance(arg, (tuple, list)): iterable, chunksize = arg if chunksize == 1: iterable_args.append(iterable) else: iterable_args.append(chunks(iterable, chunksize)) iterable_idx.append(arg_no) else: static_args.append(itertools.repeat(arg)) static_idx.append(arg_no) if not iterable_args and not static_args: return if not iterable_args: yield 1, tuple(args[i] for i in static_idx) if not static_args: repeats = itertools.repeat(()) else: repeats = zip(*static_args) if mode.lower() == 'product': combos = itertools.product(*iterable_args) elif mode.lower() == 'zip': combos = zip(*iterable_args) elif mode.lower() == 'zip_longest': combos = itertools.zip_longest(*iterable_args) for job_id, (r, p) in enumerate(zip(repeats, combos)): # skip jobs that have been completed if is_complete is not None and is_complete[job_id]: continue res = r + p # reorder vals according to input order yield job_id + 1, tuple(res[i] for i in np.argsort(static_idx + iterable_idx)) ''' DATABASE FUNCTIONS ''' def open_db(f): def decorator(firstarg, *args, **kwargs): if isinstance(firstarg, sql.Connection): return f(firstarg, *args, **kwargs) else: # if os.path.isfile(firstarg): with closing(sql.connect(firstarg)) as con: return f(con, *args, **kwargs) # else: # raise IOError return decorator def read_db(f): def decorator(firstarg, *args, **kwargs): if isinstance(firstarg, sql.Connection): return f(firstarg, *args, **kwargs) else: if os.path.isfile(firstarg): with closing(sql.connect(firstarg)) as con: return f(con, *args, **kwargs) else: raise IOError('File does not exist') return decorator @open_db def table_exists(con, name): query = '''SELECT count(*) FROM sqlite_master WHERE type='table' and name=?''' return con.execute(query, (name, )).fetchone()[0] != 0 @open_db def create_metadata_table(con, **kwargs): table = [[str(v) for v in list(kwargs.values())]] columns = list(kwargs.keys()) pd.DataFrame(table, columns=columns, dtype=str).to_sql('metadata', con, if_exists='replace', index=False) @open_db def create_progress_table(con, njobs): with con: # create table con.execute( 'CREATE TABLE progress (job_id INTEGER PRIMARY KEY, is_complete boolean)') # insert values con.executemany('INSERT INTO progress (is_complete) VALUES (?)', repeat((False, ), njobs)) @open_db def get_progress(con): table = pd.read_sql('SELECT is_complete FROM progress ORDER BY job_id', con) is_complete = np.array(table).squeeze() ijob = sum(is_complete) + 1 return is_complete, ijob @open_db def update_progress(con, job_id): with con: con.execute('UPDATE progress SET is_complete=1 WHERE job_id=?', [ job_id, ]) ''' SCRIPTING FUNCTIONS ''' def script_parser(main, config_def): ''' General script command-line interface with 'config' and 'run' subcommands. ''' if isinstance(config_def, dict): # create config abstract type based on supplied dict Config = abstract.register_type('Config', config_def) else: # config abstract type already defined Config = config_def # config subcommand generates a default configuration template def config(args): if args.file: abstract.dump(Config(), args.file) else: print(Config()) # run subcommand will load the config file and pass to main def run(args): if args.config: cfg = Config(**abstract.load(args.config)) else: cfg = Config() return main(cfg, args) # create argument parser parser = argparse.ArgumentParser() # define config subparser subparsers = parser.add_subparsers(help='sub-command help') config_parser = subparsers.add_parser('config', help='config_help') config_parser.add_argument('-f', '--file', nargs='?') config_parser.set_defaults(func=config) # define run subparser run_parser = subparsers.add_parser('run', help='run_help') run_parser.add_argument('config', nargs='?') run_parser.add_argument('-f', '--file', nargs='?') run_parser.add_argument('-t', '--threads', nargs='?', type=int) run_parser.add_argument('-w', '--write-over', action='store_true') run_parser.set_defaults(func=run) return parser, run_parser def script_parser2(main, config_def): ''' General script command-line interface with 'config' and 'run' subcommands. ''' if isinstance(config_def, dict): # create config abstract type based on supplied dict Config = abstract.register_type('Config', config_def) else: # config abstract type already defined Config = config_def # run def run(args): if args.show_config: print(Config()) return if args.generate_config: abstract.dump(Config(), args.generate_config) return if args.file: if args.config: cfg = Config(**abstract.load(args.config)) else: cfg = Config() return main(cfg, args) # create argument parser parser = argparse.ArgumentParser() parser.add_argument('-g', '--generate-config') parser.add_argument('-s', '--show-config', action='store_true') parser.add_argument('file', nargs='?') parser.add_argument('-c', '--config') parser.add_argument('-t', '--threads', type=int) parser.add_argument('-w', '--write-over', action='store_true') parser.set_defaults(func=run) return parser ''' MISC FUNCTIONS ''' def memoize_old(func): ''' Simple memoizer to cache repeated function calls. ''' def ishashable(obj): try: hash(obj) except TypeError: return False return True def make_hashable(obj): if not ishashable(obj): # use tostring on ndarray since str returns truncated output if isinstance(obj, np.ndarray): return obj.tostring() return str(obj) # round float arguments to avoid round-off error affecting cache if isinstance(obj, float): return round(obj, 18) return obj memo = {} @functools.wraps(func) def decorator(*args, **kwargs): # key = tuple(make_hashable(a) for a in args) key = (tuple(make_hashable(a) for a in args), tuple((k, make_hashable(v)) for k, v in sorted(kwargs.items()))) if key not in memo: memo[key] = func(*args, **kwargs) # return a deep copy to avoid issues with mutable return objects return deepcopy(memo[key]) return decorator def memoize(func, maxsize=20): ''' Simple memoizer to cache repeated function calls. ''' def ishashable(obj): try: hash(obj) except TypeError: return False return True def make_hashable(obj): if hasattr(obj, '_memoize'): return obj._memoize() if not ishashable(obj): # use tostring on ndarray since str returns truncated output if isinstance(obj, np.ndarray): return obj.tostring() return str(obj) # round float arguments to avoid round-off error affecting cache if isinstance(obj, float): return round(obj, 18) return obj func.memo = {} @functools.wraps(func) def decorator(*args, **kwargs): # key = tuple(make_hashable(a) for a in args) key = (tuple(make_hashable(a) for a in args), tuple((k, make_hashable(v)) for k, v in sorted(kwargs.items()))) if key not in func.memo: if len(func.memo) > maxsize: return func(*args, **kwargs) else: func.memo[key] = func(*args, **kwargs) # return a deep copy to avoid issues with mutable return objects return deepcopy(func.memo[key]) return decorator class Counter: def __init__(self): self.count = 0 def increment(self, *args, **kwargs): self.count += 1 def decrement(self, *args, **kwargs): self.count -= 1

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import argparse import functools import itertools import os import sqlite3 as sql from contextlib import closing from copy import deepcopy from itertools import repeat import numpy as np import pandas as pd import scipy as sp import scipy.fftpack import scipy.signal from cnld import abstract from scipy.spatial.distance import cdist def meshview(v1, v2, v3, mode='cartesian', as_list=True): if mode.lower() in ('cart', 'cartesian'): x, y, z = np.meshgrid(v1, v2, v3, indexing='ij') elif mode.lower() in ('sph', 'spherical'): r, theta, phi = np.meshgrid(v1, np.deg2rad(v2), np.deg2rad(v3), indexing='ij') x, y, z = sph2cart(r, theta, phi) elif mode.lower() in ('sec', 'sector'): r, alpha, beta = np.meshgrid(v1, np.deg2rad(v2), np.deg2rad(v3), indexing='ij') x, y, z = sec2cart(r, alpha, beta) elif mode.lower() in ('dp', 'dpolar'): r, alpha, beta = np.meshgrid(v1, np.deg2rad(v2), np.deg2rad(v3), indexing='ij') x, y, z = dp2cart(r, alpha, beta) if as_list: return np.c_[x.ravel('F'), y.ravel('F'), z.ravel('F')] else: return x, y, z def sec2cart(r, alpha, beta): z = r / np.sqrt(np.tan(alpha)**2 + np.tan(beta)**2 + 1) x = z * np.tan(alpha) y = z * np.tan(beta) return x, y, z def cart2sec(x, y, z): r = np.sqrt(x**2 + y**2 + z**2) alpha = np.arccos(z / (np.sqrt(x**2 + z**2))) * np.sign(x) beta = np.arccos(z / (np.sqrt(y**2 + z**2))) * np.sign(y) return r, alpha, beta def sph2cart(r, theta, phi): x = r * np.cos(theta) * np.sin(phi) y = r * np.sin(theta) * np.sin(phi) z = r * np.cos(phi) return x, y, z def cart2sph(x, y, z): r = np.sqrt(x**2 + y**2 + z**2) theta = np.arctan(y / x) phi = np.arccos(z / r) return r, theta, phi def cart2dp(x, y, z): r = np.sqrt(x**2 + y**2 + z**2) alpha = np.arccos((np.sqrt(y**2 + z**2) / r)) beta = np.arccos((np.sqrt(x**2 + z**2) / r)) return r, alpha, beta def dp2cart(r, alpha, beta): z = r * (1 - np.sin(alpha)**2 - np.sin(beta)**2) x = r * np.sin(alpha) y = r * np.sin(beta) return x, y, z def rotation_matrix(vec, angle): if isinstance(vec, str): string = vec.lower() if string == 'x': vec = [1, 0, 0] elif string == '-x': vec = [-1, 0, 0] elif string == 'y': vec = [0, 1, 0] elif string == '-y': vec = [0, -1, 0] elif string == 'z': vec = [0, 0, 1] elif string == '-x': vec = [0, 0, -1] x, y, z = vec a = angle r = np.zeros((3, 3)) r[0, 0] = np.cos(a) + x**2 * (1 - np.cos(a)) r[0, 1] = x * y * (1 - np.cos(a)) - z * np.sin(a) r[0, 2] = x * z * (1 - np.cos(a)) + y * np.sin(a) r[1, 0] = y * x * (1 - np.cos(a)) + z * np.sin(a) r[1, 1] = np.cos(a) + y**2 * (1 - np.cos(a)) r[1, 2] = y * z * (1 - np.cos(a)) - x * np.sin(a) r[2, 0] = z * x * (1 - np.cos(a)) - z * np.sin(a) r[2, 1] = z * y * (1 - np.cos(a)) + x * np.sin(a) r[2, 2] = np.cos(a) + z**2 * (1 - np.cos(a)) return r def rotate_nodes(nodes, vec, angle): rmatrix = rotation_matrix(vec, angle) return rmatrix.dot(nodes.T).T def distance(*args): return cdist(*np.atleast_2d(*args)) def gausspulse(fc, fbw, fs): cutoff = scipy.signal.gausspulse('cutoff', fc=fc, bw=fbw, tpr=-100, bwr=-3) adj_cutoff = np.ceil(cutoff * fs) / fs t = np.arange(-adj_cutoff, adj_cutoff + 1 / fs, 1 / fs) pulse, _ = sp.signal.gausspulse(t, fc=fc, bw=fbw, retquad=True, bwr=-3) return pulse, t def nextpow2(n): return 2**int(np.ceil(np.log2(n))) def envelope(rf_data, N=None, axis=-1): return np.abs(scipy.signal.hilbert(np.atleast_2d(rf_data), N, axis=axis)) def qbutter(x, fn, fs=1, btype='lowpass', n=4, plot=False, axis=-1): wn = fn / (fs / 2.) b, a = sp.signal.butter(n, wn, btype) fx = sp.signal.lfilter(b, a, x, axis=axis) return fx def qfirwin(x, fn, fs=1, btype='lowpass', ntaps=80, plot=False, axis=-1, window='hamming'): if btype.lower() in ('lowpass', 'low'): pass_zero = 1 elif btype.lower() in ('bandpass', 'band'): pass_zero = 0 elif btype.lower() in ('highpass', 'high'): pass_zero = 0 wn = fn / (fs / 2.) b = sp.signal.firwin(ntaps, wn, pass_zero=pass_zero, window=window) fx = np.apply_along_axis(lambda x: np.convolve(x, b), axis, x) return fx def qfft(s, nfft=None, fs=1, dr=100, fig=None, **kwargs): s = np.atleast_2d(s) nsig, nsample = s.shape if nfft is None: nfft = nsample if nfft > nsample: s = np.pad(s, ((0, 0), (0, nfft - nsample)), mode='constant') elif nfft < nsample: s = s[:, :nfft] ft = sp.fftpack.fft(s, axis=1) freqs = sp.fftpack.fftfreq(nfft, 1 / fs) ftdb = 20 * np.log10(np.abs(ft) / (np.max(np.abs(ft), axis=1)[..., None])) ftdb[ftdb < -dr] = -dr cutoff = (nfft + 1) // 2 return freqs[:cutoff], ftdb[:, :cutoff] def chunks(iterable, n): res = [] for el in iterable: res.append(el) if len(res) == n: yield res res = [] if res: yield res def create_jobs(*args, mode='zip', is_complete=None): static_args = list() static_idx = list() iterable_args = list() iterable_idx = list() for arg_no, arg in enumerate(args): if isinstance(arg, (tuple, list)): iterable, chunksize = arg if chunksize == 1: iterable_args.append(iterable) else: iterable_args.append(chunks(iterable, chunksize)) iterable_idx.append(arg_no) else: static_args.append(itertools.repeat(arg)) static_idx.append(arg_no) if not iterable_args and not static_args: return if not iterable_args: yield 1, tuple(args[i] for i in static_idx) if not static_args: repeats = itertools.repeat(()) else: repeats = zip(*static_args) if mode.lower() == 'product': combos = itertools.product(*iterable_args) elif mode.lower() == 'zip': combos = zip(*iterable_args) elif mode.lower() == 'zip_longest': combos = itertools.zip_longest(*iterable_args) for job_id, (r, p) in enumerate(zip(repeats, combos)): if is_complete is not None and is_complete[job_id]: continue res = r + p yield job_id + 1, tuple(res[i] for i in np.argsort(static_idx + iterable_idx)) def open_db(f): def decorator(firstarg, *args, **kwargs): if isinstance(firstarg, sql.Connection): return f(firstarg, *args, **kwargs) else: with closing(sql.connect(firstarg)) as con: return f(con, *args, **kwargs) return decorator def read_db(f): def decorator(firstarg, *args, **kwargs): if isinstance(firstarg, sql.Connection): return f(firstarg, *args, **kwargs) else: if os.path.isfile(firstarg): with closing(sql.connect(firstarg)) as con: return f(con, *args, **kwargs) else: raise IOError('File does not exist') return decorator @open_db def table_exists(con, name): query = '''SELECT count(*) FROM sqlite_master WHERE type='table' and name=?''' return con.execute(query, (name, )).fetchone()[0] != 0 @open_db def create_metadata_table(con, **kwargs): table = [[str(v) for v in list(kwargs.values())]] columns = list(kwargs.keys()) pd.DataFrame(table, columns=columns, dtype=str).to_sql('metadata', con, if_exists='replace', index=False) @open_db def create_progress_table(con, njobs): with con: con.execute( 'CREATE TABLE progress (job_id INTEGER PRIMARY KEY, is_complete boolean)') con.executemany('INSERT INTO progress (is_complete) VALUES (?)', repeat((False, ), njobs)) @open_db def get_progress(con): table = pd.read_sql('SELECT is_complete FROM progress ORDER BY job_id', con) is_complete = np.array(table).squeeze() ijob = sum(is_complete) + 1 return is_complete, ijob @open_db def update_progress(con, job_id): with con: con.execute('UPDATE progress SET is_complete=1 WHERE job_id=?', [ job_id, ]) def script_parser(main, config_def): if isinstance(config_def, dict): Config = abstract.register_type('Config', config_def) else: Config = config_def def config(args): if args.file: abstract.dump(Config(), args.file) else: print(Config()) def run(args): if args.config: cfg = Config(**abstract.load(args.config)) else: cfg = Config() return main(cfg, args) parser = argparse.ArgumentParser() subparsers = parser.add_subparsers(help='sub-command help') config_parser = subparsers.add_parser('config', help='config_help') config_parser.add_argument('-f', '--file', nargs='?') config_parser.set_defaults(func=config) run_parser = subparsers.add_parser('run', help='run_help') run_parser.add_argument('config', nargs='?') run_parser.add_argument('-f', '--file', nargs='?') run_parser.add_argument('-t', '--threads', nargs='?', type=int) run_parser.add_argument('-w', '--write-over', action='store_true') run_parser.set_defaults(func=run) return parser, run_parser def script_parser2(main, config_def): if isinstance(config_def, dict): Config = abstract.register_type('Config', config_def) else: Config = config_def def run(args): if args.show_config: print(Config()) return if args.generate_config: abstract.dump(Config(), args.generate_config) return if args.file: if args.config: cfg = Config(**abstract.load(args.config)) else: cfg = Config() return main(cfg, args) parser = argparse.ArgumentParser() parser.add_argument('-g', '--generate-config') parser.add_argument('-s', '--show-config', action='store_true') parser.add_argument('file', nargs='?') parser.add_argument('-c', '--config') parser.add_argument('-t', '--threads', type=int) parser.add_argument('-w', '--write-over', action='store_true') parser.set_defaults(func=run) return parser def memoize_old(func): def ishashable(obj): try: hash(obj) except TypeError: return False return True def make_hashable(obj): if not ishashable(obj): if isinstance(obj, np.ndarray): return obj.tostring() return str(obj) if isinstance(obj, float): return round(obj, 18) return obj memo = {} @functools.wraps(func) def decorator(*args, **kwargs): key = (tuple(make_hashable(a) for a in args), tuple((k, make_hashable(v)) for k, v in sorted(kwargs.items()))) if key not in memo: memo[key] = func(*args, **kwargs) return deepcopy(memo[key]) return decorator def memoize(func, maxsize=20): def ishashable(obj): try: hash(obj) except TypeError: return False return True def make_hashable(obj): if hasattr(obj, '_memoize'): return obj._memoize() if not ishashable(obj): if isinstance(obj, np.ndarray): return obj.tostring() return str(obj) if isinstance(obj, float): return round(obj, 18) return obj func.memo = {} @functools.wraps(func) def decorator(*args, **kwargs): key = (tuple(make_hashable(a) for a in args), tuple((k, make_hashable(v)) for k, v in sorted(kwargs.items()))) if key not in func.memo: if len(func.memo) > maxsize: return func(*args, **kwargs) else: func.memo[key] = func(*args, **kwargs) return deepcopy(func.memo[key]) return decorator class Counter: def __init__(self): self.count = 0 def increment(self, *args, **kwargs): self.count += 1 def decrement(self, *args, **kwargs): self.count -= 1

true

f70d8c4e1cd557c34f07a90a39b102830d82dd0f

5,405

py

Python

tensorflow/python/kernel_tests/linalg/linear_operator_adjoint_test.py

datanonymous/TFandroid

89927e863b1ad96184ab09188f62b7e391c896d9

[ "Apache-2.0" ]

36

2016-12-17T15:25:25.000Z

2022-01-29T21:50:53.000Z

tensorflow/python/kernel_tests/linalg/linear_operator_adjoint_test.py

shekharpalit/tensorflow

6aa83398ab03bfae822f36772757097bcb98b6ed

[ "Apache-2.0" ]

59

2019-06-17T09:37:49.000Z

2022-01-19T01:21:34.000Z

tensorflow/python/kernel_tests/linalg/linear_operator_adjoint_test.py

shekharpalit/tensorflow

6aa83398ab03bfae822f36772757097bcb98b6ed

[ "Apache-2.0" ]

36

2017-07-27T21:12:40.000Z

2022-02-03T16:45:56.000Z

# Copyright 2018 The TensorFlow Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # ============================================================================== from __future__ import absolute_import from __future__ import division from __future__ import print_function from tensorflow.python.framework import dtypes from tensorflow.python.ops import array_ops from tensorflow.python.ops.linalg import linalg as linalg_lib from tensorflow.python.ops.linalg import linear_operator_adjoint from tensorflow.python.ops.linalg import linear_operator_test_util from tensorflow.python.platform import test linalg = linalg_lib LinearOperatorAdjoint = linear_operator_adjoint.LinearOperatorAdjoint # pylint: disable=invalid-name class LinearOperatorAdjointTest( linear_operator_test_util.SquareLinearOperatorDerivedClassTest): """Most tests done in the base class LinearOperatorDerivedClassTest.""" def setUp(self): self._atol[dtypes.complex64] = 1e-5 self._rtol[dtypes.complex64] = 1e-5 def _operator_and_matrix(self, build_info, dtype, use_placeholder, ensure_self_adjoint_and_pd=False): shape = list(build_info.shape) if ensure_self_adjoint_and_pd: matrix = linear_operator_test_util.random_positive_definite_matrix( shape, dtype, force_well_conditioned=True) else: matrix = linear_operator_test_util.random_tril_matrix( shape, dtype, force_well_conditioned=True, remove_upper=True) lin_op_matrix = matrix if use_placeholder: lin_op_matrix = array_ops.placeholder_with_default(matrix, shape=None) if ensure_self_adjoint_and_pd: operator = LinearOperatorAdjoint( linalg.LinearOperatorFullMatrix( lin_op_matrix, is_positive_definite=True, is_self_adjoint=True)) else: operator = LinearOperatorAdjoint( linalg.LinearOperatorLowerTriangular(lin_op_matrix)) return operator, linalg.adjoint(matrix) def test_base_operator_hint_used(self): # The matrix values do not effect auto-setting of the flags. matrix = [[1., 0.], [1., 1.]] operator = linalg.LinearOperatorFullMatrix( matrix, is_positive_definite=True, is_non_singular=True, is_self_adjoint=False) operator_adjoint = LinearOperatorAdjoint(operator) self.assertTrue(operator_adjoint.is_positive_definite) self.assertTrue(operator_adjoint.is_non_singular) self.assertFalse(operator_adjoint.is_self_adjoint) def test_supplied_hint_used(self): # The matrix values do not effect auto-setting of the flags. matrix = [[1., 0.], [1., 1.]] operator = linalg.LinearOperatorFullMatrix(matrix) operator_adjoint = LinearOperatorAdjoint( operator, is_positive_definite=True, is_non_singular=True, is_self_adjoint=False) self.assertTrue(operator_adjoint.is_positive_definite) self.assertTrue(operator_adjoint.is_non_singular) self.assertFalse(operator_adjoint.is_self_adjoint) def test_contradicting_hints_raise(self): # The matrix values do not effect auto-setting of the flags. matrix = [[1., 0.], [1., 1.]] operator = linalg.LinearOperatorFullMatrix( matrix, is_positive_definite=False) with self.assertRaisesRegexp(ValueError, "positive-definite"): LinearOperatorAdjoint(operator, is_positive_definite=True) operator = linalg.LinearOperatorFullMatrix(matrix, is_self_adjoint=False) with self.assertRaisesRegexp(ValueError, "self-adjoint"): LinearOperatorAdjoint(operator, is_self_adjoint=True) def test_name(self): matrix = [[11., 0.], [1., 8.]] operator = linalg.LinearOperatorFullMatrix( matrix, name="my_operator", is_non_singular=True) operator = LinearOperatorAdjoint(operator) self.assertEqual("my_operator_adjoint", operator.name) class LinearOperatorAdjointNonSquareTest( linear_operator_test_util.NonSquareLinearOperatorDerivedClassTest): """Tests done in the base class NonSquareLinearOperatorDerivedClassTest.""" def _operator_and_matrix(self, build_info, dtype, use_placeholder): shape_before_adjoint = list(build_info.shape) # We need to swap the last two dimensions because we are taking the adjoint # of this operator shape_before_adjoint[-1], shape_before_adjoint[-2] = ( shape_before_adjoint[-2], shape_before_adjoint[-1]) matrix = linear_operator_test_util.random_normal( shape_before_adjoint, dtype=dtype) lin_op_matrix = matrix if use_placeholder: lin_op_matrix = array_ops.placeholder_with_default(matrix, shape=None) operator = LinearOperatorAdjoint( linalg.LinearOperatorFullMatrix(lin_op_matrix)) return operator, linalg.adjoint(matrix) if __name__ == "__main__": test.main()

37.797203

101

0.734135

from __future__ import absolute_import from __future__ import division from __future__ import print_function from tensorflow.python.framework import dtypes from tensorflow.python.ops import array_ops from tensorflow.python.ops.linalg import linalg as linalg_lib from tensorflow.python.ops.linalg import linear_operator_adjoint from tensorflow.python.ops.linalg import linear_operator_test_util from tensorflow.python.platform import test linalg = linalg_lib LinearOperatorAdjoint = linear_operator_adjoint.LinearOperatorAdjoint class LinearOperatorAdjointTest( linear_operator_test_util.SquareLinearOperatorDerivedClassTest): def setUp(self): self._atol[dtypes.complex64] = 1e-5 self._rtol[dtypes.complex64] = 1e-5 def _operator_and_matrix(self, build_info, dtype, use_placeholder, ensure_self_adjoint_and_pd=False): shape = list(build_info.shape) if ensure_self_adjoint_and_pd: matrix = linear_operator_test_util.random_positive_definite_matrix( shape, dtype, force_well_conditioned=True) else: matrix = linear_operator_test_util.random_tril_matrix( shape, dtype, force_well_conditioned=True, remove_upper=True) lin_op_matrix = matrix if use_placeholder: lin_op_matrix = array_ops.placeholder_with_default(matrix, shape=None) if ensure_self_adjoint_and_pd: operator = LinearOperatorAdjoint( linalg.LinearOperatorFullMatrix( lin_op_matrix, is_positive_definite=True, is_self_adjoint=True)) else: operator = LinearOperatorAdjoint( linalg.LinearOperatorLowerTriangular(lin_op_matrix)) return operator, linalg.adjoint(matrix) def test_base_operator_hint_used(self): matrix = [[1., 0.], [1., 1.]] operator = linalg.LinearOperatorFullMatrix( matrix, is_positive_definite=True, is_non_singular=True, is_self_adjoint=False) operator_adjoint = LinearOperatorAdjoint(operator) self.assertTrue(operator_adjoint.is_positive_definite) self.assertTrue(operator_adjoint.is_non_singular) self.assertFalse(operator_adjoint.is_self_adjoint) def test_supplied_hint_used(self): matrix = [[1., 0.], [1., 1.]] operator = linalg.LinearOperatorFullMatrix(matrix) operator_adjoint = LinearOperatorAdjoint( operator, is_positive_definite=True, is_non_singular=True, is_self_adjoint=False) self.assertTrue(operator_adjoint.is_positive_definite) self.assertTrue(operator_adjoint.is_non_singular) self.assertFalse(operator_adjoint.is_self_adjoint) def test_contradicting_hints_raise(self): matrix = [[1., 0.], [1., 1.]] operator = linalg.LinearOperatorFullMatrix( matrix, is_positive_definite=False) with self.assertRaisesRegexp(ValueError, "positive-definite"): LinearOperatorAdjoint(operator, is_positive_definite=True) operator = linalg.LinearOperatorFullMatrix(matrix, is_self_adjoint=False) with self.assertRaisesRegexp(ValueError, "self-adjoint"): LinearOperatorAdjoint(operator, is_self_adjoint=True) def test_name(self): matrix = [[11., 0.], [1., 8.]] operator = linalg.LinearOperatorFullMatrix( matrix, name="my_operator", is_non_singular=True) operator = LinearOperatorAdjoint(operator) self.assertEqual("my_operator_adjoint", operator.name) class LinearOperatorAdjointNonSquareTest( linear_operator_test_util.NonSquareLinearOperatorDerivedClassTest): def _operator_and_matrix(self, build_info, dtype, use_placeholder): shape_before_adjoint = list(build_info.shape) shape_before_adjoint[-1], shape_before_adjoint[-2] = ( shape_before_adjoint[-2], shape_before_adjoint[-1]) matrix = linear_operator_test_util.random_normal( shape_before_adjoint, dtype=dtype) lin_op_matrix = matrix if use_placeholder: lin_op_matrix = array_ops.placeholder_with_default(matrix, shape=None) operator = LinearOperatorAdjoint( linalg.LinearOperatorFullMatrix(lin_op_matrix)) return operator, linalg.adjoint(matrix) if __name__ == "__main__": test.main()

true

f70d8c54b493496bbe16c1729da32a19bb99f096

11,218

py

Python

main.py

christopherbugg/HEMS

fdc9c7e0e907e5473e614e0dadc5a27423f18204

[ "MIT" ]

null

main.py

christopherbugg/HEMS

fdc9c7e0e907e5473e614e0dadc5a27423f18204

[ "MIT" ]

null

main.py

christopherbugg/HEMS

fdc9c7e0e907e5473e614e0dadc5a27423f18204

[ "MIT" ]

null

# main.py # python 2.7 # Handy Employee Management System (HEMS) # Basic CLI Employee Management System that interfaces with # a database. # Chris Bugg # Created: 5/10/17 # Imports import os import re import sys from handler import Handler from employee import Employee # Main Class class HEMS: # Handles Database interaction database_handler = Handler() # Constructor def __init__(self): # Main loop while True: # Clear Screen os.system('cls' if os.name == 'nt' else 'clear') print print "Handy IT Employee Management System [HEMS]" print print "(S)earch" print "(A)dd" print "(U)pdate" print "(R)emove" print print "(E)xit" print choice = raw_input('Selection: ') # Input Sanitation good_choices = {"s", "S", "a", "A", "u", "U", "r", "R", "e", "E"} while choice not in good_choices: print "Input Error!" choice = raw_input("Selection: ") # Search if (choice == "s") or (choice == "S"): self.search_screen() # Add elif (choice == "a") or (choice == "A"): self.add_screen() # Update elif (choice == "u") or (choice == "U"): self.update_screen() # Remove elif (choice == "r") or (choice == "R"): self.remove_screen() # Exit on any other selection else: sys.exit(0) # Prints search screen def search_screen(self): while True: # Clear Screen os.system('cls' if os.name == 'nt' else 'clear') print print "HEMS -> Search" print print "(E)mployee Identification Number (EIN)" print "(S)SN" print "(F)irst Name" print "(L)ast Name" print "(P)ayrate" print "(A)ll Employees" print print "(B)ack" print choice = raw_input('Selection: ') # Input Sanitation good_choices = {"e", "E", "s", "S", "f", "F", "l", "L", "p", "P", "a", "A", "b", "B"} while choice not in good_choices: print "Input Error!" choice = raw_input("Selection: ") # Clear Screen os.system('cls' if os.name == 'nt' else 'clear') # Employee Identification Number (EIN) if (choice == "e") or (choice == "E"): input = raw_input("Employee Identification Number (EIN): ") # Input Sanitation input = self.sanitize_digits(input) # Perform Database search employees = self.search('ein', input) self.search_results(employees) # SSN elif (choice == "s") or (choice == "S"): input = raw_input("SSN (555-55-5555): ") # Input Sanitation input = self.sanitize_ssn(input) # Perform Database search employees = self.search('ssn', input) self.search_results(employees) # First Name elif (choice == "f") or (choice == "F"): input = raw_input("First Name: ") # Input Sanitation input = self.sanitize_letters(input) # Perform Database search employees = self.search('first', input) self.search_results(employees) # Last Name elif (choice == "l") or (choice == "L"): input = raw_input("Last name: ") # Input Sanitation input = self.sanitize_letters(input) # Perform Database search employees = self.search('last', input) self.search_results(employees) # Payrate elif (choice == "p") or (choice == "P"): input = raw_input("Payrate: ") # Input Sanitation input = self.sanitize_digits(input) # Perform Database search employees = self.search('payrate', input) self.search_results(employees) # All Employees elif (choice == "a") or (choice == "A"): # Perform Database search employees = self.search_all() self.search_results(employees) # Exit on any other selection else: # Break out of while and go back to main screen break # Searches Database based on given fields def search(self, column, query): return self.database_handler.search(column, query) # Searches Database based on given fields def search_all(self): return self.database_handler.search_all() # Sanitizes inputs to digits (really integers) def sanitize_digits(self, input): # If the input isn't all digits while not input.isdigit(): # Ask the user to try again print "Input Error! Not an Integer!" input = raw_input("Input: ") return input # Sanitizes input to letters (a-z,A-Z) def sanitize_letters(self, input): # If the string isn't all alphabetic characters while not input.isalpha(): # Ask the user to try again print "Input Error! Not all Letters!" input = raw_input("Input: ") return input # Sanitizes inputs to SSNs (555-55-5555) def sanitize_ssn(self, input): # Run till they put it in right while True: # Regex magic that matches an SSN ssn_matcher = re.compile('\d{3}-\d{2}-\d{4}') # A list of all valid SSN's in the input matches = ssn_matcher.findall(input) # If the list is non-empty if matches: # Retun the first valid SSN return matches[0] # Ask the user to try again print "Input Error! Not a Valid SSN (555-55-5555)!" input = raw_input("Input: ") # Prints add screen def add_screen(self): # Clear Screen os.system('cls' if os.name == 'nt' else 'clear') print print "HEMS -> Add" print # Create new Employee object employee = Employee() # Get info from user + sanitize employee.ein = self.sanitize_digits(raw_input("Employee Identification Number (EIN): ")) # Check if EIN is already in the system employee_list = self.search('ein', employee.ein) # While there are employees whom match that EIN while employee_list: # Try again print "Input Error! Employee already exists!" employee.ein = self.sanitize_digits(raw_input("Employee Identification Number (EIN): ")) # And re-check employee_list = self.search('ein', employee.ein) employee.ssn = self.sanitize_ssn(raw_input("SSN: ")) employee.first_name = self.sanitize_letters(raw_input("First Name: ")) employee.last_name = self.sanitize_letters(raw_input("Last Name: ")) employee.payrate = self.sanitize_digits(raw_input("Payrate: ")) # Add employee to database self.add(employee) print print "Employee Added" print raw_input("Back (Enter): ") # Adds employee to database def add(self, employee): self.database_handler.add(employee) # Prints remove screen def remove_screen(self): # Clear Screen os.system('cls' if os.name == 'nt' else 'clear') print print "HEMS -> Remove" print # Create new Employee object employee = Employee() # Get info from user + sanitize employee.ein = self.sanitize_digits(raw_input("Employee Identification Number (EIN): ")) print "ARE YOU SURE YOU WISH TO REMOVE THIS USER?" print "YES - Remove User" print "NO - Do Nothing" print choice = raw_input('Selection (YES[Remove]/NO[Do Nothing]): ') # Input Sanitation good_choices = {"YES", "NO", "N", "no", "n", "0"} while choice not in good_choices: print "Input Error!" choice = raw_input("Selection (YES[Remove]/NO[Do Nothing]): ") # Remove if choice == "YES": # Remove employee from database self.remove(employee.ein) print print "Employee Removed" print else: print raw_input("Back (Enter): ") # Removes employee from database def remove(self, ein): self.database_handler.remove(ein) # Prints update screen def update_screen(self): # Clear Screen os.system('cls' if os.name == 'nt' else 'clear') print print "HEMS -> Update" print # Create new Employee object employee = Employee() # Get info from user + sanitize employee.ein = self.sanitize_digits(raw_input("Employee Identification Number (EIN): ")) # Check if EIN is already in the system employee_list = self.search('ein', employee.ein) # While there are not employees whom match that EIN while not employee_list: # Try again print "Input Error! No Employees match that EIN!" employee.ein = self.sanitize_digits(raw_input("Employee Identification Number (EIN): ")) # And re-check employee_list = self.search('ein', employee.ein) employee.ssn = self.sanitize_ssn(raw_input("SSN: ")) employee.first_name = self.sanitize_letters(raw_input("First Name: ")) employee.last_name = self.sanitize_letters(raw_input("Last Name: ")) employee.payrate = self.sanitize_digits(raw_input("Payrate: ")) # Add employee to database self.update(employee) print print "Employee Updated" print raw_input("Back (Enter): ") # Updates employee in database def update(self, employee): self.database_handler.update(employee) # Prints employee information to the screen def employee_print(self, employee): print "EIN:\t " + str(employee.ein) print "SSN:\t " + str(employee.ssn) print "First:\t " + str(employee.first_name) print "Last:\t " + str(employee.last_name) print "Payrate: " + str(employee.payrate) # Prints the results of a search def search_results(self, employees): print "Results: " # For each employee found, print details for employee in employees: self.employee_print(employee) print # If there were none found if not employees: print "No Results Found." print raw_input("Back (Enter): ") HEMS()

26.395294

100

0.537618

import os import re import sys from handler import Handler from employee import Employee class HEMS: database_handler = Handler() def __init__(self): while True: os.system('cls' if os.name == 'nt' else 'clear') print print "Handy IT Employee Management System [HEMS]" print print "(S)earch" print "(A)dd" print "(U)pdate" print "(R)emove" print print "(E)xit" print choice = raw_input('Selection: ') good_choices = {"s", "S", "a", "A", "u", "U", "r", "R", "e", "E"} while choice not in good_choices: print "Input Error!" choice = raw_input("Selection: ") if (choice == "s") or (choice == "S"): self.search_screen() elif (choice == "a") or (choice == "A"): self.add_screen() elif (choice == "u") or (choice == "U"): self.update_screen() elif (choice == "r") or (choice == "R"): self.remove_screen() else: sys.exit(0) def search_screen(self): while True: os.system('cls' if os.name == 'nt' else 'clear') print print "HEMS -> Search" print print "(E)mployee Identification Number (EIN)" print "(S)SN" print "(F)irst Name" print "(L)ast Name" print "(P)ayrate" print "(A)ll Employees" print print "(B)ack" print choice = raw_input('Selection: ') good_choices = {"e", "E", "s", "S", "f", "F", "l", "L", "p", "P", "a", "A", "b", "B"} while choice not in good_choices: print "Input Error!" choice = raw_input("Selection: ") os.system('cls' if os.name == 'nt' else 'clear') if (choice == "e") or (choice == "E"): input = raw_input("Employee Identification Number (EIN): ") input = self.sanitize_digits(input) employees = self.search('ein', input) self.search_results(employees) elif (choice == "s") or (choice == "S"): input = raw_input("SSN (555-55-5555): ") input = self.sanitize_ssn(input) employees = self.search('ssn', input) self.search_results(employees) elif (choice == "f") or (choice == "F"): input = raw_input("First Name: ") input = self.sanitize_letters(input) employees = self.search('first', input) self.search_results(employees) elif (choice == "l") or (choice == "L"): input = raw_input("Last name: ") input = self.sanitize_letters(input) employees = self.search('last', input) self.search_results(employees) elif (choice == "p") or (choice == "P"): input = raw_input("Payrate: ") input = self.sanitize_digits(input) employees = self.search('payrate', input) self.search_results(employees) elif (choice == "a") or (choice == "A"): employees = self.search_all() self.search_results(employees) else: break def search(self, column, query): return self.database_handler.search(column, query) def search_all(self): return self.database_handler.search_all() def sanitize_digits(self, input): while not input.isdigit(): # Ask the user to try again print "Input Error! Not an Integer!" input = raw_input("Input: ") return input # Sanitizes input to letters (a-z,A-Z) def sanitize_letters(self, input): # If the string isn't all alphabetic characters while not input.isalpha(): print "Input Error! Not all Letters!" input = raw_input("Input: ") return input def sanitize_ssn(self, input): while True: ssn_matcher = re.compile('\d{3}-\d{2}-\d{4}') matches = ssn_matcher.findall(input) # If the list is non-empty if matches: # Retun the first valid SSN return matches[0] # Ask the user to try again print "Input Error! Not a Valid SSN (555-55-5555)!" input = raw_input("Input: ") # Prints add screen def add_screen(self): # Clear Screen os.system('cls' if os.name == 'nt' else 'clear') print print "HEMS -> Add" print # Create new Employee object employee = Employee() # Get info from user + sanitize employee.ein = self.sanitize_digits(raw_input("Employee Identification Number (EIN): ")) # Check if EIN is already in the system employee_list = self.search('ein', employee.ein) # While there are employees whom match that EIN while employee_list: # Try again print "Input Error! Employee already exists!" employee.ein = self.sanitize_digits(raw_input("Employee Identification Number (EIN): ")) # And re-check employee_list = self.search('ein', employee.ein) employee.ssn = self.sanitize_ssn(raw_input("SSN: ")) employee.first_name = self.sanitize_letters(raw_input("First Name: ")) employee.last_name = self.sanitize_letters(raw_input("Last Name: ")) employee.payrate = self.sanitize_digits(raw_input("Payrate: ")) # Add employee to database self.add(employee) print print "Employee Added" print raw_input("Back (Enter): ") # Adds employee to database def add(self, employee): self.database_handler.add(employee) # Prints remove screen def remove_screen(self): # Clear Screen os.system('cls' if os.name == 'nt' else 'clear') print print "HEMS -> Remove" print # Create new Employee object employee = Employee() # Get info from user + sanitize employee.ein = self.sanitize_digits(raw_input("Employee Identification Number (EIN): ")) print "ARE YOU SURE YOU WISH TO REMOVE THIS USER?" print "YES - Remove User" print "NO - Do Nothing" print choice = raw_input('Selection (YES[Remove]/NO[Do Nothing]): ') # Input Sanitation good_choices = {"YES", "NO", "N", "no", "n", "0"} while choice not in good_choices: print "Input Error!" choice = raw_input("Selection (YES[Remove]/NO[Do Nothing]): ") # Remove if choice == "YES": # Remove employee from database self.remove(employee.ein) print print "Employee Removed" print else: print raw_input("Back (Enter): ") # Removes employee from database def remove(self, ein): self.database_handler.remove(ein) # Prints update screen def update_screen(self): # Clear Screen os.system('cls' if os.name == 'nt' else 'clear') print print "HEMS -> Update" print # Create new Employee object employee = Employee() # Get info from user + sanitize employee.ein = self.sanitize_digits(raw_input("Employee Identification Number (EIN): ")) # Check if EIN is already in the system employee_list = self.search('ein', employee.ein) # While there are not employees whom match that EIN while not employee_list: # Try again print "Input Error! No Employees match that EIN!" employee.ein = self.sanitize_digits(raw_input("Employee Identification Number (EIN): ")) # And re-check employee_list = self.search('ein', employee.ein) employee.ssn = self.sanitize_ssn(raw_input("SSN: ")) employee.first_name = self.sanitize_letters(raw_input("First Name: ")) employee.last_name = self.sanitize_letters(raw_input("Last Name: ")) employee.payrate = self.sanitize_digits(raw_input("Payrate: ")) # Add employee to database self.update(employee) print print "Employee Updated" print raw_input("Back (Enter): ") # Updates employee in database def update(self, employee): self.database_handler.update(employee) # Prints employee information to the screen def employee_print(self, employee): print "EIN:\t " + str(employee.ein) print "SSN:\t " + str(employee.ssn) print "First:\t " + str(employee.first_name) print "Last:\t " + str(employee.last_name) print "Payrate: " + str(employee.payrate) # Prints the results of a search def search_results(self, employees): print "Results: " # For each employee found, print details for employee in employees: self.employee_print(employee) print # If there were none found if not employees: print "No Results Found." print raw_input("Back (Enter): ") HEMS()

false

true

f70d8c83df5b721001f8b07794266614e5d089a7

162

py

Python

pyrez/exceptions/SessionLimit.py

pytheous/Pyrez

85f6f27359288b5f0ad70ff543f247843ac326f9

[ "MIT" ]

25

2018-07-26T02:32:14.000Z

2021-09-20T03:26:17.000Z

pyrez/exceptions/SessionLimit.py

pytheous/Pyrez

85f6f27359288b5f0ad70ff543f247843ac326f9

[ "MIT" ]

93

2018-08-26T11:44:25.000Z

2022-03-28T08:22:18.000Z

pyrez/exceptions/SessionLimit.py

pytheous/Pyrez

85f6f27359288b5f0ad70ff543f247843ac326f9

[ "MIT" ]

13

2018-09-05T09:38:07.000Z

2021-08-16T04:39:41.000Z

from .PyrezException import PyrezException class SessionLimit(PyrezException): def __init__(self, *args, **kwargs): super().__init__(*args, **kwargs)

32.4

42

0.722222

from .PyrezException import PyrezException class SessionLimit(PyrezException): def __init__(self, *args, **kwargs): super().__init__(*args, **kwargs)

true

f70d8c900ae72ef49e6de06f8fbb1e74a0973a12

43,042

py

Python

pysnmp-with-texts/BIANCA-BRICK-SIF-MIB.py

agustinhenze/mibs.snmplabs.com

1fc5c07860542b89212f4c8ab807057d9a9206c7

[ "Apache-2.0" ]

8

2019-05-09T17:04:00.000Z

2021-06-09T06:50:51.000Z

pysnmp-with-texts/BIANCA-BRICK-SIF-MIB.py

agustinhenze/mibs.snmplabs.com

1fc5c07860542b89212f4c8ab807057d9a9206c7

[ "Apache-2.0" ]

4

2019-05-31T16:42:59.000Z

2020-01-31T21:57:17.000Z

pysnmp-with-texts/BIANCA-BRICK-SIF-MIB.py

agustinhenze/mibs.snmplabs.com

1fc5c07860542b89212f4c8ab807057d9a9206c7

[ "Apache-2.0" ]

10

2019-04-30T05:51:36.000Z

2022-02-16T03:33:41.000Z

# # PySNMP MIB module BIANCA-BRICK-SIF-MIB (http://snmplabs.com/pysmi) # ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/BIANCA-BRICK-SIF-MIB # Produced by pysmi-0.3.4 at Wed May 1 11:38:43 2019 # On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4 # Using Python version 3.7.3 (default, Mar 27 2019, 09:23:15) # OctetString, Integer, ObjectIdentifier = mibBuilder.importSymbols("ASN1", "OctetString", "Integer", "ObjectIdentifier") NamedValues, = mibBuilder.importSymbols("ASN1-ENUMERATION", "NamedValues") ValueSizeConstraint, ConstraintsIntersection, ValueRangeConstraint, SingleValueConstraint, ConstraintsUnion = mibBuilder.importSymbols("ASN1-REFINEMENT", "ValueSizeConstraint", "ConstraintsIntersection", "ValueRangeConstraint", "SingleValueConstraint", "ConstraintsUnion") DisplayString, = mibBuilder.importSymbols("RFC1158-MIB", "DisplayString") ModuleCompliance, NotificationGroup = mibBuilder.importSymbols("SNMPv2-CONF", "ModuleCompliance", "NotificationGroup") iso, TimeTicks, Counter32, IpAddress, Gauge32, ModuleIdentity, ObjectIdentity, MibIdentifier, Unsigned32, enterprises, NotificationType, Bits, Integer32, Counter64, MibScalar, MibTable, MibTableRow, MibTableColumn = mibBuilder.importSymbols("SNMPv2-SMI", "iso", "TimeTicks", "Counter32", "IpAddress", "Gauge32", "ModuleIdentity", "ObjectIdentity", "MibIdentifier", "Unsigned32", "enterprises", "NotificationType", "Bits", "Integer32", "Counter64", "MibScalar", "MibTable", "MibTableRow", "MibTableColumn") DisplayString, TextualConvention = mibBuilder.importSymbols("SNMPv2-TC", "DisplayString", "TextualConvention") bintec = MibIdentifier((1, 3, 6, 1, 4, 1, 272)) bibo = MibIdentifier((1, 3, 6, 1, 4, 1, 272, 4)) biboip = MibIdentifier((1, 3, 6, 1, 4, 1, 272, 4, 5)) ipSifAliasAddressTable = MibTable((1, 3, 6, 1, 4, 1, 272, 4, 5, 28), ) if mibBuilder.loadTexts: ipSifAliasAddressTable.setStatus('mandatory') if mibBuilder.loadTexts: ipSifAliasAddressTable.setDescription('Contains a alias Address Entry Index,Ip,Mask,Interface ') ipSifAliasAddressEntry = MibTableRow((1, 3, 6, 1, 4, 1, 272, 4, 5, 28, 1), ).setIndexNames((0, "BIANCA-BRICK-SIF-MIB", "ipSifAliasAddressAlias")) if mibBuilder.loadTexts: ipSifAliasAddressEntry.setStatus('mandatory') if mibBuilder.loadTexts: ipSifAliasAddressEntry.setDescription('Contents a Stateful inspection Firewall description for a alias Name') ipSifAliasAddressIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 28, 1, 1), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ipSifAliasAddressIndex.setStatus('mandatory') if mibBuilder.loadTexts: ipSifAliasAddressIndex.setDescription('The Index for the address alias') ipSifAliasAddressAlias = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 28, 1, 2), DisplayString()).setMaxAccess("readwrite") if mibBuilder.loadTexts: ipSifAliasAddressAlias.setStatus('mandatory') if mibBuilder.loadTexts: ipSifAliasAddressAlias.setDescription('Alias Name for the Address Entry') ipSifAliasAddressAddress = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 28, 1, 3), IpAddress()).setMaxAccess("readwrite") if mibBuilder.loadTexts: ipSifAliasAddressAddress.setStatus('mandatory') if mibBuilder.loadTexts: ipSifAliasAddressAddress.setDescription('The ip-address for the Alias') ipSifAliasAddressMask = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 28, 1, 4), IpAddress()).setMaxAccess("readwrite") if mibBuilder.loadTexts: ipSifAliasAddressMask.setStatus('mandatory') if mibBuilder.loadTexts: ipSifAliasAddressMask.setDescription('The ip Mask for the Alias') ipSifAliasAddressInterface = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 28, 1, 5), Integer32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: ipSifAliasAddressInterface.setStatus('mandatory') if mibBuilder.loadTexts: ipSifAliasAddressInterface.setDescription('The interface index for the alias') ipSifAliasAddressMode = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 28, 1, 6), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4))).clone(namedValues=NamedValues(("interface", 1), ("address", 2), ("range", 3), ("delete", 4))).clone(1)).setMaxAccess("readwrite") if mibBuilder.loadTexts: ipSifAliasAddressMode.setStatus('mandatory') if mibBuilder.loadTexts: ipSifAliasAddressMode.setDescription('Address or Interface Mode') ipSifAliasAddressRange = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 28, 1, 7), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 65535)).clone(1)).setMaxAccess("readwrite") if mibBuilder.loadTexts: ipSifAliasAddressRange.setStatus('mandatory') if mibBuilder.loadTexts: ipSifAliasAddressRange.setDescription('The ip Range for the Alias') ipSifAliasAddressGroup = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 28, 1, 8), Integer32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: ipSifAliasAddressGroup.setStatus('mandatory') if mibBuilder.loadTexts: ipSifAliasAddressGroup.setDescription('For values greater than zero this entry determines the IP address group this entry belongs to, see also ipSifAliasAddressGroupId') ipSifAliasServiceTable = MibTable((1, 3, 6, 1, 4, 1, 272, 4, 5, 29), ) if mibBuilder.loadTexts: ipSifAliasServiceTable.setStatus('mandatory') if mibBuilder.loadTexts: ipSifAliasServiceTable.setDescription('Contains a alias Service Entry Protocol,Port,Range ') ipSifAliasServiceEntry = MibTableRow((1, 3, 6, 1, 4, 1, 272, 4, 5, 29, 1), ).setIndexNames((0, "BIANCA-BRICK-SIF-MIB", "ipSifAliasServiceAlias")) if mibBuilder.loadTexts: ipSifAliasServiceEntry.setStatus('mandatory') if mibBuilder.loadTexts: ipSifAliasServiceEntry.setDescription('Contains a alias Service Entry Protocol,Port,Range ') ipSifAliasServiceIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 29, 1, 1), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ipSifAliasServiceIndex.setStatus('mandatory') if mibBuilder.loadTexts: ipSifAliasServiceIndex.setDescription('The Index for the address alias') ipSifAliasServiceAlias = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 29, 1, 2), DisplayString()).setMaxAccess("readwrite") if mibBuilder.loadTexts: ipSifAliasServiceAlias.setStatus('mandatory') if mibBuilder.loadTexts: ipSifAliasServiceAlias.setDescription('Alias Name for the Service Entry') ipSifAliasServiceProtocol = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 29, 1, 3), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4, 6, 8, 9, 12, 16, 17, 20, 22, 27, 41, 46, 47, 50, 51, 56, 57, 65, 80, 88, 89, 94, 103, 111, 112, 115, 250, 251, 252, 253, 254, 255, 256))).clone(namedValues=NamedValues(("icmp", 1), ("igmp", 2), ("ggp", 3), ("ip", 4), ("tcp", 6), ("egp", 8), ("igp", 9), ("pup", 12), ("chaos", 16), ("udp", 17), ("hmp", 20), ("xns-idp", 22), ("rdp", 27), ("ipv6", 41), ("rsvp", 46), ("gre", 47), ("esp", 50), ("ah", 51), ("tlsp", 56), ("skip", 57), ("kryptolan", 65), ("iso-ip", 80), ("igrp", 88), ("ospf", 89), ("ipip", 94), ("pim", 103), ("ipx-in-ip", 111), ("vrrp", 112), ("l2tp", 115), ("local", 250), ("internet", 251), ("netmeeting", 252), ("udptcp", 253), ("any", 254), ("delete", 255), ("dont-verify", 256))).clone('any')).setMaxAccess("readwrite") if mibBuilder.loadTexts: ipSifAliasServiceProtocol.setStatus('mandatory') if mibBuilder.loadTexts: ipSifAliasServiceProtocol.setDescription('The protocol for the Service alias') ipSifAliasServicePort = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 29, 1, 4), Integer32().subtype(subtypeSpec=ValueRangeConstraint(-1, 65535)).clone(-1)).setMaxAccess("readwrite") if mibBuilder.loadTexts: ipSifAliasServicePort.setStatus('mandatory') if mibBuilder.loadTexts: ipSifAliasServicePort.setDescription('The Port for the Service Alias.') ipSifAliasServiceRange = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 29, 1, 5), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 65536)).clone(1)).setMaxAccess("readwrite") if mibBuilder.loadTexts: ipSifAliasServiceRange.setStatus('mandatory') if mibBuilder.loadTexts: ipSifAliasServiceRange.setDescription('The Port Range for the Service Alias.') ipSifAliasServiceType = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 29, 1, 6), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("predefined", 1), ("custom", 2))).clone('custom')).setMaxAccess("readonly") if mibBuilder.loadTexts: ipSifAliasServiceType.setStatus('mandatory') if mibBuilder.loadTexts: ipSifAliasServiceType.setDescription('Specifies wether created by the IP/SIF subsystem itself or created/modified by the administrator.') ipSifAliasServiceGroup = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 29, 1, 7), Integer32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: ipSifAliasServiceGroup.setStatus('mandatory') if mibBuilder.loadTexts: ipSifAliasServiceGroup.setDescription('For values greater than zero this entry determines the IP service group this entry belongs to, see also ipSifAliasServiceGroupId') ipSifAliasServiceSourcePort = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 29, 1, 8), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 65535))).setMaxAccess("readwrite") if mibBuilder.loadTexts: ipSifAliasServiceSourcePort.setStatus('mandatory') if mibBuilder.loadTexts: ipSifAliasServiceSourcePort.setDescription('The Source Port for the Service Alias.') ipSifAliasServiceSourceRange = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 29, 1, 9), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 65536)).clone(1)).setMaxAccess("readwrite") if mibBuilder.loadTexts: ipSifAliasServiceSourceRange.setStatus('mandatory') if mibBuilder.loadTexts: ipSifAliasServiceSourceRange.setDescription('The Source Port Range for the Service Alias.') ipSifAliasServiceIcmpType = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 29, 1, 10), Integer32().subtype(subtypeSpec=ValueRangeConstraint(-1, 255))).setMaxAccess("readwrite") if mibBuilder.loadTexts: ipSifAliasServiceIcmpType.setStatus('mandatory') if mibBuilder.loadTexts: ipSifAliasServiceIcmpType.setDescription('The ICMP Type for the Service Alias.') ipSifAliasServiceIcmpCode = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 29, 1, 11), Integer32().subtype(subtypeSpec=ValueRangeConstraint(-1, 255))).setMaxAccess("readwrite") if mibBuilder.loadTexts: ipSifAliasServiceIcmpCode.setStatus('mandatory') if mibBuilder.loadTexts: ipSifAliasServiceIcmpCode.setDescription('The ICMP Code for the Service Alias.') ipSifAliasTable = MibTable((1, 3, 6, 1, 4, 1, 272, 4, 5, 30), ) if mibBuilder.loadTexts: ipSifAliasTable.setStatus('mandatory') if mibBuilder.loadTexts: ipSifAliasTable.setDescription('Contains a Stateful Inspection Firewall (SIF) policy.') ipSifAliasEntry = MibTableRow((1, 3, 6, 1, 4, 1, 272, 4, 5, 30, 1), ).setIndexNames((0, "BIANCA-BRICK-SIF-MIB", "ipSifAliasOrder")) if mibBuilder.loadTexts: ipSifAliasEntry.setStatus('mandatory') if mibBuilder.loadTexts: ipSifAliasEntry.setDescription('') ipSifAliasOrder = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 30, 1, 1), Integer32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: ipSifAliasOrder.setStatus('mandatory') if mibBuilder.loadTexts: ipSifAliasOrder.setDescription('The Order for the Stateful Inspection Entry rule') ipSifAliasSource = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 30, 1, 2), Integer32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: ipSifAliasSource.setStatus('mandatory') if mibBuilder.loadTexts: ipSifAliasSource.setDescription('The alias Source Index for the Entry') ipSifAliasDestination = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 30, 1, 3), Integer32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: ipSifAliasDestination.setStatus('mandatory') if mibBuilder.loadTexts: ipSifAliasDestination.setDescription('The alias Destination Index for the Entry') ipSifAliasService = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 30, 1, 4), Integer32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: ipSifAliasService.setStatus('mandatory') if mibBuilder.loadTexts: ipSifAliasService.setDescription('The alias Protocol/service Index for Entry') ipSifAliasAction = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 30, 1, 5), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 255))).clone(namedValues=NamedValues(("access", 1), ("deny", 2), ("reject", 3), ("delete", 255))).clone('access')).setMaxAccess("readwrite") if mibBuilder.loadTexts: ipSifAliasAction.setStatus('mandatory') if mibBuilder.loadTexts: ipSifAliasAction.setDescription('The Rule for the Filter') ipSifAliasStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 30, 1, 6), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("enabled", 1), ("disabled", 2))).clone('enabled')).setMaxAccess("readwrite") if mibBuilder.loadTexts: ipSifAliasStatus.setStatus('mandatory') if mibBuilder.loadTexts: ipSifAliasStatus.setDescription('Defines the administrative status of this policy') ipSifAliasPriority = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 30, 1, 7), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4, 5))).clone(namedValues=NamedValues(("default", 1), ("low-latency", 2), ("high", 3), ("medium", 4), ("low", 5))).clone('default')).setMaxAccess("readwrite") if mibBuilder.loadTexts: ipSifAliasPriority.setStatus('mandatory') if mibBuilder.loadTexts: ipSifAliasPriority.setDescription('Defines the QoS priority of this policy') ipSifAliasClassId = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 30, 1, 8), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 255))).setMaxAccess("readwrite") if mibBuilder.loadTexts: ipSifAliasClassId.setStatus('mandatory') if mibBuilder.loadTexts: ipSifAliasClassId.setDescription('Internal ID for SIF policy to QoS policy mapping') ipSifRejectTable = MibTable((1, 3, 6, 1, 4, 1, 272, 4, 5, 31), ) if mibBuilder.loadTexts: ipSifRejectTable.setStatus('mandatory') if mibBuilder.loadTexts: ipSifRejectTable.setDescription('Contains actually rejected Frames with Source Destination ') ipSifRejectEntry = MibTableRow((1, 3, 6, 1, 4, 1, 272, 4, 5, 31, 1), ).setIndexNames((0, "BIANCA-BRICK-SIF-MIB", "ipSifRejectIndex")) if mibBuilder.loadTexts: ipSifRejectEntry.setStatus('mandatory') if mibBuilder.loadTexts: ipSifRejectEntry.setDescription('') ipSifRejectIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 31, 1, 1), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ipSifRejectIndex.setStatus('mandatory') if mibBuilder.loadTexts: ipSifRejectIndex.setDescription('The Index for the Reject Entry') ipSifRejectSource = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 31, 1, 2), IpAddress()).setMaxAccess("readonly") if mibBuilder.loadTexts: ipSifRejectSource.setStatus('mandatory') if mibBuilder.loadTexts: ipSifRejectSource.setDescription('The Reject Source for the Entry') ipSifRejectDestination = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 31, 1, 3), IpAddress()).setMaxAccess("readonly") if mibBuilder.loadTexts: ipSifRejectDestination.setStatus('mandatory') if mibBuilder.loadTexts: ipSifRejectDestination.setDescription('The Reject Destination Index for the Entry') ipSifRejectRejects = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 31, 1, 4), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ipSifRejectRejects.setStatus('mandatory') if mibBuilder.loadTexts: ipSifRejectRejects.setDescription('Count of rejected frames') ipSifRejectSilence = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 31, 1, 5), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ipSifRejectSilence.setStatus('mandatory') if mibBuilder.loadTexts: ipSifRejectSilence.setDescription('Last reject in seconds') ipSifRejectProtocol = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 31, 1, 6), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ipSifRejectProtocol.setStatus('mandatory') if mibBuilder.loadTexts: ipSifRejectProtocol.setDescription('The protocol of the rejected Packet') ipSifRejectPortLo = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 31, 1, 7), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ipSifRejectPortLo.setStatus('mandatory') if mibBuilder.loadTexts: ipSifRejectPortLo.setDescription('The lowest Port rejected') ipSifRejectPortHigh = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 31, 1, 8), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ipSifRejectPortHigh.setStatus('mandatory') if mibBuilder.loadTexts: ipSifRejectPortHigh.setDescription('The highest port rejected') ipSifExpectTable = MibTable((1, 3, 6, 1, 4, 1, 272, 4, 5, 35), ) if mibBuilder.loadTexts: ipSifExpectTable.setStatus('mandatory') if mibBuilder.loadTexts: ipSifExpectTable.setDescription('Contains expected Sessions with Source Destination ') ipSifExpectEntry = MibTableRow((1, 3, 6, 1, 4, 1, 272, 4, 5, 35, 1), ).setIndexNames((0, "BIANCA-BRICK-SIF-MIB", "ipSifExpectIndex")) if mibBuilder.loadTexts: ipSifExpectEntry.setStatus('mandatory') if mibBuilder.loadTexts: ipSifExpectEntry.setDescription('') ipSifExpectIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 35, 1, 1), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ipSifExpectIndex.setStatus('mandatory') if mibBuilder.loadTexts: ipSifExpectIndex.setDescription('This field is used for SIF-internal signalling and stores the index for the expected session for later matching.') ipSifExpectSource = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 35, 1, 2), IpAddress()).setMaxAccess("readonly") if mibBuilder.loadTexts: ipSifExpectSource.setStatus('mandatory') if mibBuilder.loadTexts: ipSifExpectSource.setDescription('The source-IP-address for the expected session. A value of 0 means ANY source-address.') ipSifExpectDestination = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 35, 1, 3), IpAddress()).setMaxAccess("readonly") if mibBuilder.loadTexts: ipSifExpectDestination.setStatus('mandatory') if mibBuilder.loadTexts: ipSifExpectDestination.setDescription('The destination-IP-address for the expected session. A value of 0 means ANY destination-address.') ipSifExpectProtocol = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 35, 1, 4), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(2, 4, 6, 17, 255))).clone(namedValues=NamedValues(("igmp", 2), ("ip", 4), ("tcp", 6), ("udp", 17), ("delete", 255))).clone('udp')).setMaxAccess("readwrite") if mibBuilder.loadTexts: ipSifExpectProtocol.setStatus('mandatory') if mibBuilder.loadTexts: ipSifExpectProtocol.setDescription('The protocol of the expected session.') ipSifExpectSourcePort = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 35, 1, 5), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ipSifExpectSourcePort.setStatus('mandatory') if mibBuilder.loadTexts: ipSifExpectSourcePort.setDescription('The source-port-number of the expected session. A value of 0 means ANY source-port-number.') ipSifExpectDestPort = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 35, 1, 6), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ipSifExpectDestPort.setStatus('mandatory') if mibBuilder.loadTexts: ipSifExpectDestPort.setDescription('The destination-port-number of the expected session. A value of 0 means ANY destination-port-number.') ipSifExpectPriority = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 35, 1, 7), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4, 5))).clone(namedValues=NamedValues(("default", 1), ("low-latency", 2), ("high", 3), ("medium", 4), ("low", 5))).clone('default')).setMaxAccess("readonly") if mibBuilder.loadTexts: ipSifExpectPriority.setStatus('mandatory') if mibBuilder.loadTexts: ipSifExpectPriority.setDescription('Defines the QoS-priority/policy to be used for the expected SIF-session.') ipSifExpectClassId = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 35, 1, 8), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 255))).setMaxAccess("readonly") if mibBuilder.loadTexts: ipSifExpectClassId.setStatus('mandatory') if mibBuilder.loadTexts: ipSifExpectClassId.setDescription('Internal ID for mapping SIF-policy to QoS-policy. Default-value of 0 means NOT SPECIFIED.') ipSifExpectIfIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 35, 1, 9), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ipSifExpectIfIndex.setStatus('mandatory') if mibBuilder.loadTexts: ipSifExpectIfIndex.setDescription('Interface-index for which the session is expected. A value of 0 means ANY interface-index.') ipSifAliasAddressGroupTable = MibTable((1, 3, 6, 1, 4, 1, 272, 4, 5, 47), ) if mibBuilder.loadTexts: ipSifAliasAddressGroupTable.setStatus('mandatory') if mibBuilder.loadTexts: ipSifAliasAddressGroupTable.setDescription('Defines IP address or interface group alias') ipSifAliasAddressGroupEntry = MibTableRow((1, 3, 6, 1, 4, 1, 272, 4, 5, 47, 1), ).setIndexNames((0, "BIANCA-BRICK-SIF-MIB", "ipSifAliasAddressGroupId")) if mibBuilder.loadTexts: ipSifAliasAddressGroupEntry.setStatus('mandatory') if mibBuilder.loadTexts: ipSifAliasAddressGroupEntry.setDescription('Defines IP address or interface group alias') ipSifAliasAddressGroupId = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 47, 1, 1), Integer32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: ipSifAliasAddressGroupId.setStatus('mandatory') if mibBuilder.loadTexts: ipSifAliasAddressGroupId.setDescription('The unique address group entry ID') ipSifAliasAddressGroupAlias = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 47, 1, 2), DisplayString()).setMaxAccess("readwrite") if mibBuilder.loadTexts: ipSifAliasAddressGroupAlias.setStatus('mandatory') if mibBuilder.loadTexts: ipSifAliasAddressGroupAlias.setDescription('Alias name for the address group entry') ipSifAliasAddressGroupIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 47, 1, 3), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ipSifAliasAddressGroupIndex.setStatus('mandatory') if mibBuilder.loadTexts: ipSifAliasAddressGroupIndex.setDescription('The index for the address group entry to be referred by an ipSifAlias entry') ipSifAliasAddressGroupMode = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 47, 1, 4), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("interface", 1), ("address", 2), ("delete", 3))).clone('interface')).setMaxAccess("readwrite") if mibBuilder.loadTexts: ipSifAliasAddressGroupMode.setStatus('mandatory') if mibBuilder.loadTexts: ipSifAliasAddressGroupMode.setDescription('Specifies wether this entry defines an interface or address group') ipSifAliasServiceGroupTable = MibTable((1, 3, 6, 1, 4, 1, 272, 4, 5, 48), ) if mibBuilder.loadTexts: ipSifAliasServiceGroupTable.setStatus('mandatory') if mibBuilder.loadTexts: ipSifAliasServiceGroupTable.setDescription('Defines IP service group alias') ipSifAliasServiceGroupEntry = MibTableRow((1, 3, 6, 1, 4, 1, 272, 4, 5, 48, 1), ).setIndexNames((0, "BIANCA-BRICK-SIF-MIB", "ipSifAliasServiceGroupId")) if mibBuilder.loadTexts: ipSifAliasServiceGroupEntry.setStatus('mandatory') if mibBuilder.loadTexts: ipSifAliasServiceGroupEntry.setDescription('Defines IP service group alias') ipSifAliasServiceGroupId = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 48, 1, 1), Integer32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: ipSifAliasServiceGroupId.setStatus('mandatory') if mibBuilder.loadTexts: ipSifAliasServiceGroupId.setDescription('The unique IP service group entry ID') ipSifAliasServiceGroupAlias = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 48, 1, 2), DisplayString()).setMaxAccess("readwrite") if mibBuilder.loadTexts: ipSifAliasServiceGroupAlias.setStatus('mandatory') if mibBuilder.loadTexts: ipSifAliasServiceGroupAlias.setDescription('Alias name for the IP service group entry') ipSifAliasServiceGroupIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 48, 1, 3), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ipSifAliasServiceGroupIndex.setStatus('mandatory') if mibBuilder.loadTexts: ipSifAliasServiceGroupIndex.setDescription('The index for the Ip service group entry to be referred by an ipSifAlias entry') ipSifAliasServiceGroupMode = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 48, 1, 4), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("service", 1), ("delete", 2))).clone('service')).setMaxAccess("readwrite") if mibBuilder.loadTexts: ipSifAliasServiceGroupMode.setStatus('mandatory') if mibBuilder.loadTexts: ipSifAliasServiceGroupMode.setDescription('Specifies wether this entry defines an IP service group or should be deleted') ipSifPolicyChkTable = MibTable((1, 3, 6, 1, 4, 1, 272, 4, 5, 49), ) if mibBuilder.loadTexts: ipSifPolicyChkTable.setStatus('mandatory') if mibBuilder.loadTexts: ipSifPolicyChkTable.setDescription("MIB interface in order to check the configured SIF polices: - for debugging purposes - for test applications - for configuration frontends NOTE: it's a stateless check, not based on a real IP session context ") ipSifPolicyChkEntry = MibTableRow((1, 3, 6, 1, 4, 1, 272, 4, 5, 49, 1), ).setIndexNames((0, "BIANCA-BRICK-SIF-MIB", "ipSifPolicyChkProtocol"), (0, "BIANCA-BRICK-SIF-MIB", "ipSifPolicyChkDestPort")) if mibBuilder.loadTexts: ipSifPolicyChkEntry.setStatus('mandatory') if mibBuilder.loadTexts: ipSifPolicyChkEntry.setDescription('') ipSifPolicyChkSourceIfIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 49, 1, 1), Integer32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: ipSifPolicyChkSourceIfIndex.setStatus('mandatory') if mibBuilder.loadTexts: ipSifPolicyChkSourceIfIndex.setDescription("The source interface index, for example '1' addresses the 'local' interface whereas '0' means 'don't check.") ipSifPolicyChkDestIfIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 49, 1, 2), Integer32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: ipSifPolicyChkDestIfIndex.setStatus('mandatory') if mibBuilder.loadTexts: ipSifPolicyChkDestIfIndex.setDescription("The destination interface index, for example '1' addresses the 'local' interface whereas '0' means 'don't check.'") ipSifPolicyChkSource = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 49, 1, 3), IpAddress()).setMaxAccess("readwrite") if mibBuilder.loadTexts: ipSifPolicyChkSource.setStatus('mandatory') if mibBuilder.loadTexts: ipSifPolicyChkSource.setDescription("The source IP address, 0.0.0.0 means 'don't check'.") ipSifPolicyChkDestination = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 49, 1, 4), IpAddress()).setMaxAccess("readwrite") if mibBuilder.loadTexts: ipSifPolicyChkDestination.setStatus('mandatory') if mibBuilder.loadTexts: ipSifPolicyChkDestination.setDescription("The destination IP address, 0.0.0.0 means 'don't check'.") ipSifPolicyChkProtocol = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 49, 1, 5), Integer32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: ipSifPolicyChkProtocol.setStatus('mandatory') if mibBuilder.loadTexts: ipSifPolicyChkProtocol.setDescription("The IP protocol number to checked, '0' means 'don't check.") ipSifPolicyChkDestPort = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 49, 1, 6), Integer32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: ipSifPolicyChkDestPort.setStatus('mandatory') if mibBuilder.loadTexts: ipSifPolicyChkDestPort.setDescription("The destination port number (UDP/TCP service) to checked, '0' means 'don't check.") ipSifPolicyChkRule = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 49, 1, 7), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4))).clone(namedValues=NamedValues(("access", 1), ("deny", 2), ("reject", 3), ("unknown", 4))).clone('unknown')).setMaxAccess("readonly") if mibBuilder.loadTexts: ipSifPolicyChkRule.setStatus('mandatory') if mibBuilder.loadTexts: ipSifPolicyChkRule.setDescription('Returns the associated policy, depending on: - ipSifAliasAction - ipSifAliasOrder - ipSifAliasStatus') ipSifPolicyChkRuleOrder = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 49, 1, 8), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ipSifPolicyChkRuleOrder.setStatus('mandatory') if mibBuilder.loadTexts: ipSifPolicyChkRuleOrder.setDescription('Returns the associated policy order (see ipSifAliasOrder).') ipSifPolicyChkResult = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 49, 1, 9), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("access", 1), ("deny", 2), ("unknown", 3))).clone('unknown')).setMaxAccess("readonly") if mibBuilder.loadTexts: ipSifPolicyChkResult.setStatus('mandatory') if mibBuilder.loadTexts: ipSifPolicyChkResult.setDescription('Returns the result depending on: - ipSifPolicyChkRule - administrative status (ipSifAdminStatus) - operational status of the SIF engine') ipSifPolicyChkState = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 49, 1, 10), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4))).clone(namedValues=NamedValues(("initial", 1), ("trigger", 2), ("running", 3), ("done", 4))).clone('initial')).setMaxAccess("readwrite") if mibBuilder.loadTexts: ipSifPolicyChkState.setStatus('mandatory') if mibBuilder.loadTexts: ipSifPolicyChkState.setDescription('Displays the current status of the policy check, when setting to trigger(2) a new check will be initiated.') ipSifPolicyChkAdminStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 49, 1, 11), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("check", 1), ("ignore", 2))).clone('check')).setMaxAccess("readwrite") if mibBuilder.loadTexts: ipSifPolicyChkAdminStatus.setStatus('mandatory') if mibBuilder.loadTexts: ipSifPolicyChkAdminStatus.setDescription('Determines wether the ipSifAdminStatus should be considered for the policy (check (1)) or not (ingnore (2)).') ipSifPolicyChkOperStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 49, 1, 12), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("check", 1), ("ignore", 2))).clone('check')).setMaxAccess("readwrite") if mibBuilder.loadTexts: ipSifPolicyChkOperStatus.setStatus('mandatory') if mibBuilder.loadTexts: ipSifPolicyChkOperStatus.setDescription('Determines wether the SIF operational status should be considered for the policy (check (1)) or not (ingnore (2)).') ipSifPolicyChkCurrOperStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 49, 1, 13), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("up", 1), ("down", 2))).clone('down')).setMaxAccess("readonly") if mibBuilder.loadTexts: ipSifPolicyChkCurrOperStatus.setStatus('mandatory') if mibBuilder.loadTexts: ipSifPolicyChkCurrOperStatus.setDescription('The current SIF operational status.') ipSif = MibIdentifier((1, 3, 6, 1, 4, 1, 272, 4, 5, 37)) ipSifAdminStatus = MibScalar((1, 3, 6, 1, 4, 1, 272, 4, 5, 37, 1), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("enable", 1), ("disable", 2))).clone('enable')).setMaxAccess("readwrite") if mibBuilder.loadTexts: ipSifAdminStatus.setStatus('mandatory') if mibBuilder.loadTexts: ipSifAdminStatus.setDescription('Enable or disable Stateful Inspection Firewall.') ipSifLocalFilter = MibScalar((1, 3, 6, 1, 4, 1, 272, 4, 5, 37, 2), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("enable", 1), ("disable", 2))).clone('disable')).setMaxAccess("readwrite") if mibBuilder.loadTexts: ipSifLocalFilter.setStatus('mandatory') if mibBuilder.loadTexts: ipSifLocalFilter.setDescription('Enable or disable filtering on local requests') ipSifInterfaceFilter = MibScalar((1, 3, 6, 1, 4, 1, 272, 4, 5, 37, 3), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("enable", 1), ("disable", 2))).clone('enable')).setMaxAccess("readwrite") if mibBuilder.loadTexts: ipSifInterfaceFilter.setStatus('mandatory') if mibBuilder.loadTexts: ipSifInterfaceFilter.setDescription('Enable or disable filtering on same Interface packets') ipSifSysloglevel = MibScalar((1, 3, 6, 1, 4, 1, 272, 4, 5, 37, 4), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4))).clone(namedValues=NamedValues(("deny", 1), ("accept", 2), ("verbose", 3), ("none", 4))).clone('verbose')).setMaxAccess("readwrite") if mibBuilder.loadTexts: ipSifSysloglevel.setStatus('mandatory') if mibBuilder.loadTexts: ipSifSysloglevel.setDescription('Levels for less or more Informations in the Syslog, verbose : display all Sif Activity deny : display only rejects, ignore accept : display only accpts none : disable Syslogs') ipSifUdpTimeout = MibScalar((1, 3, 6, 1, 4, 1, 272, 4, 5, 37, 5), Integer32().subtype(subtypeSpec=ValueRangeConstraint(30, 86400)).clone(180)).setMaxAccess("readwrite") if mibBuilder.loadTexts: ipSifUdpTimeout.setStatus('mandatory') if mibBuilder.loadTexts: ipSifUdpTimeout.setDescription('Timeout on inactive UDP Session') ipSifTcpTimeout = MibScalar((1, 3, 6, 1, 4, 1, 272, 4, 5, 37, 6), Integer32().subtype(subtypeSpec=ValueRangeConstraint(30, 86400)).clone(3600)).setMaxAccess("readwrite") if mibBuilder.loadTexts: ipSifTcpTimeout.setStatus('mandatory') if mibBuilder.loadTexts: ipSifTcpTimeout.setDescription('Timeout on inactive TCP Session') ipSifPPTPTimeout = MibScalar((1, 3, 6, 1, 4, 1, 272, 4, 5, 37, 7), Integer32().subtype(subtypeSpec=ValueRangeConstraint(30, 86400)).clone(86400)).setMaxAccess("readwrite") if mibBuilder.loadTexts: ipSifPPTPTimeout.setStatus('mandatory') if mibBuilder.loadTexts: ipSifPPTPTimeout.setDescription('Timeout on inactive PPTP Session') ipSifDefaultTimeout = MibScalar((1, 3, 6, 1, 4, 1, 272, 4, 5, 37, 8), Integer32().subtype(subtypeSpec=ValueRangeConstraint(30, 86400)).clone(30)).setMaxAccess("readwrite") if mibBuilder.loadTexts: ipSifDefaultTimeout.setStatus('mandatory') if mibBuilder.loadTexts: ipSifDefaultTimeout.setDescription('Timeout on all other ip Sessions') ipSifMaxSessions = MibScalar((1, 3, 6, 1, 4, 1, 272, 4, 5, 37, 9), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 1000000))).setMaxAccess("readwrite") if mibBuilder.loadTexts: ipSifMaxSessions.setStatus('mandatory') if mibBuilder.loadTexts: ipSifMaxSessions.setDescription('Maximum number of monitored sessions') ipSifMaxRejectEntries = MibScalar((1, 3, 6, 1, 4, 1, 272, 4, 5, 37, 14), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 10000)).clone(1000)).setMaxAccess("readwrite") if mibBuilder.loadTexts: ipSifMaxRejectEntries.setStatus('mandatory') if mibBuilder.loadTexts: ipSifMaxRejectEntries.setDescription('Maximum number of ipSifRejectTable entries') ipSifMaxRejectTtl = MibScalar((1, 3, 6, 1, 4, 1, 272, 4, 5, 37, 15), Integer32().subtype(subtypeSpec=ValueRangeConstraint(5, 86400)).clone(3600)).setMaxAccess("readwrite") if mibBuilder.loadTexts: ipSifMaxRejectTtl.setStatus('mandatory') if mibBuilder.loadTexts: ipSifMaxRejectTtl.setDescription('Maximum time to live of the ipSifRejectTable entries in seconds') ipSifInterfaceAliasAutoCreate = MibScalar((1, 3, 6, 1, 4, 1, 272, 4, 5, 37, 16), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("enable", 1), ("disable", 2))).clone('enable')).setMaxAccess("readwrite") if mibBuilder.loadTexts: ipSifInterfaceAliasAutoCreate.setStatus('mandatory') if mibBuilder.loadTexts: ipSifInterfaceAliasAutoCreate.setDescription('Enable or disable automatic creation of interface aliases (see ipSifAliasAddressTable) due to created MPR interfaces visible in ifTable.') ipSifStat = MibIdentifier((1, 3, 6, 1, 4, 1, 272, 4, 5, 46)) ipSifStatCurrSessions = MibScalar((1, 3, 6, 1, 4, 1, 272, 4, 5, 46, 1), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ipSifStatCurrSessions.setStatus('mandatory') if mibBuilder.loadTexts: ipSifStatCurrSessions.setDescription('Current number of all monitored sessions') ipSifStatCurrUdpSessions = MibScalar((1, 3, 6, 1, 4, 1, 272, 4, 5, 46, 2), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ipSifStatCurrUdpSessions.setStatus('mandatory') if mibBuilder.loadTexts: ipSifStatCurrUdpSessions.setDescription('Current number of monitored UDP sessions') ipSifStatCurrTcpSessions = MibScalar((1, 3, 6, 1, 4, 1, 272, 4, 5, 46, 3), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ipSifStatCurrTcpSessions.setStatus('mandatory') if mibBuilder.loadTexts: ipSifStatCurrTcpSessions.setDescription('Current number of monitored TCP sessions') ipSifStatCurrOtherSessions = MibScalar((1, 3, 6, 1, 4, 1, 272, 4, 5, 46, 4), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ipSifStatCurrOtherSessions.setStatus('mandatory') if mibBuilder.loadTexts: ipSifStatCurrOtherSessions.setDescription('Current number of monitored non-TCP/UDP sessions') ipSifStatCurrExpectedSessions = MibScalar((1, 3, 6, 1, 4, 1, 272, 4, 5, 46, 5), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ipSifStatCurrExpectedSessions.setStatus('mandatory') if mibBuilder.loadTexts: ipSifStatCurrExpectedSessions.setDescription('Current number of created expected sessions') ipSifStatTotalUdpSessions = MibScalar((1, 3, 6, 1, 4, 1, 272, 4, 5, 46, 6), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ipSifStatTotalUdpSessions.setStatus('mandatory') if mibBuilder.loadTexts: ipSifStatTotalUdpSessions.setDescription('Total number of monitored UDP sessions') ipSifStatTotalTcpSessions = MibScalar((1, 3, 6, 1, 4, 1, 272, 4, 5, 46, 7), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ipSifStatTotalTcpSessions.setStatus('mandatory') if mibBuilder.loadTexts: ipSifStatTotalTcpSessions.setDescription('Total number of monitored TCP sessions') ipSifStatTotalOtherSessions = MibScalar((1, 3, 6, 1, 4, 1, 272, 4, 5, 46, 8), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ipSifStatTotalOtherSessions.setStatus('mandatory') if mibBuilder.loadTexts: ipSifStatTotalOtherSessions.setDescription('Total number of monitored non-TCP/UDP sessions') ipSifStatTotalExpectedSessions = MibScalar((1, 3, 6, 1, 4, 1, 272, 4, 5, 46, 9), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ipSifStatTotalExpectedSessions.setStatus('mandatory') if mibBuilder.loadTexts: ipSifStatTotalExpectedSessions.setDescription('Total number of monitored non-TCP/UDP sessions') mibBuilder.exportSymbols("BIANCA-BRICK-SIF-MIB", ipSifPolicyChkDestPort=ipSifPolicyChkDestPort, ipSifAliasAddressEntry=ipSifAliasAddressEntry, ipSifAliasServiceType=ipSifAliasServiceType, ipSifPolicyChkRule=ipSifPolicyChkRule, ipSifExpectTable=ipSifExpectTable, ipSifInterfaceFilter=ipSifInterfaceFilter, ipSifAliasAddressGroupIndex=ipSifAliasAddressGroupIndex, ipSifAliasSource=ipSifAliasSource, ipSifRejectTable=ipSifRejectTable, ipSifMaxRejectEntries=ipSifMaxRejectEntries, ipSifAliasServiceRange=ipSifAliasServiceRange, ipSifStatCurrSessions=ipSifStatCurrSessions, ipSifExpectEntry=ipSifExpectEntry, ipSifAliasServiceGroupTable=ipSifAliasServiceGroupTable, ipSifPPTPTimeout=ipSifPPTPTimeout, ipSifExpectSourcePort=ipSifExpectSourcePort, ipSifRejectPortHigh=ipSifRejectPortHigh, ipSifLocalFilter=ipSifLocalFilter, ipSifStatCurrExpectedSessions=ipSifStatCurrExpectedSessions, ipSifPolicyChkSource=ipSifPolicyChkSource, ipSifAliasService=ipSifAliasService, ipSifAliasAddressGroupAlias=ipSifAliasAddressGroupAlias, ipSifStatTotalTcpSessions=ipSifStatTotalTcpSessions, ipSifAliasServicePort=ipSifAliasServicePort, ipSifAliasServiceGroupIndex=ipSifAliasServiceGroupIndex, ipSifExpectDestPort=ipSifExpectDestPort, ipSifAliasAddressIndex=ipSifAliasAddressIndex, ipSifPolicyChkRuleOrder=ipSifPolicyChkRuleOrder, ipSifRejectIndex=ipSifRejectIndex, ipSifPolicyChkTable=ipSifPolicyChkTable, ipSifAliasAddressRange=ipSifAliasAddressRange, ipSifAliasAddressTable=ipSifAliasAddressTable, ipSifExpectDestination=ipSifExpectDestination, ipSifPolicyChkState=ipSifPolicyChkState, ipSifAliasServiceGroupEntry=ipSifAliasServiceGroupEntry, ipSifAliasServiceGroupMode=ipSifAliasServiceGroupMode, ipSifTcpTimeout=ipSifTcpTimeout, ipSifAliasTable=ipSifAliasTable, bintec=bintec, ipSifAliasOrder=ipSifAliasOrder, ipSifExpectClassId=ipSifExpectClassId, ipSifStat=ipSifStat, ipSifPolicyChkCurrOperStatus=ipSifPolicyChkCurrOperStatus, ipSifAliasPriority=ipSifAliasPriority, ipSifStatCurrTcpSessions=ipSifStatCurrTcpSessions, ipSifMaxSessions=ipSifMaxSessions, ipSifRejectSource=ipSifRejectSource, ipSifAliasServiceIndex=ipSifAliasServiceIndex, ipSifPolicyChkDestination=ipSifPolicyChkDestination, ipSifAliasServiceGroupAlias=ipSifAliasServiceGroupAlias, ipSifAliasServiceAlias=ipSifAliasServiceAlias, ipSifExpectIfIndex=ipSifExpectIfIndex, ipSifAliasAddressGroupTable=ipSifAliasAddressGroupTable, ipSifPolicyChkEntry=ipSifPolicyChkEntry, ipSif=ipSif, ipSifPolicyChkOperStatus=ipSifPolicyChkOperStatus, ipSifStatCurrUdpSessions=ipSifStatCurrUdpSessions, ipSifRejectEntry=ipSifRejectEntry, ipSifRejectSilence=ipSifRejectSilence, ipSifAliasEntry=ipSifAliasEntry, ipSifAdminStatus=ipSifAdminStatus, ipSifAliasServiceIcmpType=ipSifAliasServiceIcmpType, ipSifAliasAddressGroupEntry=ipSifAliasAddressGroupEntry, ipSifPolicyChkResult=ipSifPolicyChkResult, ipSifAliasAddressMask=ipSifAliasAddressMask, ipSifAliasServiceEntry=ipSifAliasServiceEntry, ipSifAliasServiceSourcePort=ipSifAliasServiceSourcePort, ipSifPolicyChkSourceIfIndex=ipSifPolicyChkSourceIfIndex, ipSifAliasAddressMode=ipSifAliasAddressMode, bibo=bibo, ipSifAliasAddressAddress=ipSifAliasAddressAddress, ipSifUdpTimeout=ipSifUdpTimeout, ipSifStatTotalOtherSessions=ipSifStatTotalOtherSessions, ipSifRejectDestination=ipSifRejectDestination, ipSifPolicyChkAdminStatus=ipSifPolicyChkAdminStatus, ipSifStatTotalUdpSessions=ipSifStatTotalUdpSessions, ipSifPolicyChkProtocol=ipSifPolicyChkProtocol, ipSifAliasAddressGroup=ipSifAliasAddressGroup, ipSifRejectRejects=ipSifRejectRejects, ipSifAliasServiceSourceRange=ipSifAliasServiceSourceRange, ipSifAliasServiceTable=ipSifAliasServiceTable, ipSifMaxRejectTtl=ipSifMaxRejectTtl, ipSifAliasServiceGroupId=ipSifAliasServiceGroupId, ipSifExpectProtocol=ipSifExpectProtocol, ipSifExpectIndex=ipSifExpectIndex, ipSifAliasClassId=ipSifAliasClassId, ipSifAliasStatus=ipSifAliasStatus, biboip=biboip, ipSifInterfaceAliasAutoCreate=ipSifInterfaceAliasAutoCreate, ipSifAliasServiceIcmpCode=ipSifAliasServiceIcmpCode, ipSifAliasAddressInterface=ipSifAliasAddressInterface, ipSifAliasServiceProtocol=ipSifAliasServiceProtocol, ipSifAliasAddressGroupMode=ipSifAliasAddressGroupMode, ipSifRejectPortLo=ipSifRejectPortLo, ipSifAliasAddressAlias=ipSifAliasAddressAlias, ipSifAliasAction=ipSifAliasAction, ipSifRejectProtocol=ipSifRejectProtocol, ipSifStatCurrOtherSessions=ipSifStatCurrOtherSessions, ipSifStatTotalExpectedSessions=ipSifStatTotalExpectedSessions, ipSifExpectPriority=ipSifExpectPriority, ipSifDefaultTimeout=ipSifDefaultTimeout, ipSifExpectSource=ipSifExpectSource, ipSifPolicyChkDestIfIndex=ipSifPolicyChkDestIfIndex, ipSifAliasAddressGroupId=ipSifAliasAddressGroupId, ipSifAliasDestination=ipSifAliasDestination, ipSifSysloglevel=ipSifSysloglevel, ipSifAliasServiceGroup=ipSifAliasServiceGroup)

131.626911

4,773

0.787231

OctetString, Integer, ObjectIdentifier = mibBuilder.importSymbols("ASN1", "OctetString", "Integer", "ObjectIdentifier") NamedValues, = mibBuilder.importSymbols("ASN1-ENUMERATION", "NamedValues") ValueSizeConstraint, ConstraintsIntersection, ValueRangeConstraint, SingleValueConstraint, ConstraintsUnion = mibBuilder.importSymbols("ASN1-REFINEMENT", "ValueSizeConstraint", "ConstraintsIntersection", "ValueRangeConstraint", "SingleValueConstraint", "ConstraintsUnion") DisplayString, = mibBuilder.importSymbols("RFC1158-MIB", "DisplayString") ModuleCompliance, NotificationGroup = mibBuilder.importSymbols("SNMPv2-CONF", "ModuleCompliance", "NotificationGroup") iso, TimeTicks, Counter32, IpAddress, Gauge32, ModuleIdentity, ObjectIdentity, MibIdentifier, Unsigned32, enterprises, NotificationType, Bits, Integer32, Counter64, MibScalar, MibTable, MibTableRow, MibTableColumn = mibBuilder.importSymbols("SNMPv2-SMI", "iso", "TimeTicks", "Counter32", "IpAddress", "Gauge32", "ModuleIdentity", "ObjectIdentity", "MibIdentifier", "Unsigned32", "enterprises", "NotificationType", "Bits", "Integer32", "Counter64", "MibScalar", "MibTable", "MibTableRow", "MibTableColumn") DisplayString, TextualConvention = mibBuilder.importSymbols("SNMPv2-TC", "DisplayString", "TextualConvention") bintec = MibIdentifier((1, 3, 6, 1, 4, 1, 272)) bibo = MibIdentifier((1, 3, 6, 1, 4, 1, 272, 4)) biboip = MibIdentifier((1, 3, 6, 1, 4, 1, 272, 4, 5)) ipSifAliasAddressTable = MibTable((1, 3, 6, 1, 4, 1, 272, 4, 5, 28), ) if mibBuilder.loadTexts: ipSifAliasAddressTable.setStatus('mandatory') if mibBuilder.loadTexts: ipSifAliasAddressTable.setDescription('Contains a alias Address Entry Index,Ip,Mask,Interface ') ipSifAliasAddressEntry = MibTableRow((1, 3, 6, 1, 4, 1, 272, 4, 5, 28, 1), ).setIndexNames((0, "BIANCA-BRICK-SIF-MIB", "ipSifAliasAddressAlias")) if mibBuilder.loadTexts: ipSifAliasAddressEntry.setStatus('mandatory') if mibBuilder.loadTexts: ipSifAliasAddressEntry.setDescription('Contents a Stateful inspection Firewall description for a alias Name') ipSifAliasAddressIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 28, 1, 1), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ipSifAliasAddressIndex.setStatus('mandatory') if mibBuilder.loadTexts: ipSifAliasAddressIndex.setDescription('The Index for the address alias') ipSifAliasAddressAlias = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 28, 1, 2), DisplayString()).setMaxAccess("readwrite") if mibBuilder.loadTexts: ipSifAliasAddressAlias.setStatus('mandatory') if mibBuilder.loadTexts: ipSifAliasAddressAlias.setDescription('Alias Name for the Address Entry') ipSifAliasAddressAddress = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 28, 1, 3), IpAddress()).setMaxAccess("readwrite") if mibBuilder.loadTexts: ipSifAliasAddressAddress.setStatus('mandatory') if mibBuilder.loadTexts: ipSifAliasAddressAddress.setDescription('The ip-address for the Alias') ipSifAliasAddressMask = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 28, 1, 4), IpAddress()).setMaxAccess("readwrite") if mibBuilder.loadTexts: ipSifAliasAddressMask.setStatus('mandatory') if mibBuilder.loadTexts: ipSifAliasAddressMask.setDescription('The ip Mask for the Alias') ipSifAliasAddressInterface = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 28, 1, 5), Integer32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: ipSifAliasAddressInterface.setStatus('mandatory') if mibBuilder.loadTexts: ipSifAliasAddressInterface.setDescription('The interface index for the alias') ipSifAliasAddressMode = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 28, 1, 6), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4))).clone(namedValues=NamedValues(("interface", 1), ("address", 2), ("range", 3), ("delete", 4))).clone(1)).setMaxAccess("readwrite") if mibBuilder.loadTexts: ipSifAliasAddressMode.setStatus('mandatory') if mibBuilder.loadTexts: ipSifAliasAddressMode.setDescription('Address or Interface Mode') ipSifAliasAddressRange = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 28, 1, 7), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 65535)).clone(1)).setMaxAccess("readwrite") if mibBuilder.loadTexts: ipSifAliasAddressRange.setStatus('mandatory') if mibBuilder.loadTexts: ipSifAliasAddressRange.setDescription('The ip Range for the Alias') ipSifAliasAddressGroup = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 28, 1, 8), Integer32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: ipSifAliasAddressGroup.setStatus('mandatory') if mibBuilder.loadTexts: ipSifAliasAddressGroup.setDescription('For values greater than zero this entry determines the IP address group this entry belongs to, see also ipSifAliasAddressGroupId') ipSifAliasServiceTable = MibTable((1, 3, 6, 1, 4, 1, 272, 4, 5, 29), ) if mibBuilder.loadTexts: ipSifAliasServiceTable.setStatus('mandatory') if mibBuilder.loadTexts: ipSifAliasServiceTable.setDescription('Contains a alias Service Entry Protocol,Port,Range ') ipSifAliasServiceEntry = MibTableRow((1, 3, 6, 1, 4, 1, 272, 4, 5, 29, 1), ).setIndexNames((0, "BIANCA-BRICK-SIF-MIB", "ipSifAliasServiceAlias")) if mibBuilder.loadTexts: ipSifAliasServiceEntry.setStatus('mandatory') if mibBuilder.loadTexts: ipSifAliasServiceEntry.setDescription('Contains a alias Service Entry Protocol,Port,Range ') ipSifAliasServiceIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 29, 1, 1), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ipSifAliasServiceIndex.setStatus('mandatory') if mibBuilder.loadTexts: ipSifAliasServiceIndex.setDescription('The Index for the address alias') ipSifAliasServiceAlias = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 29, 1, 2), DisplayString()).setMaxAccess("readwrite") if mibBuilder.loadTexts: ipSifAliasServiceAlias.setStatus('mandatory') if mibBuilder.loadTexts: ipSifAliasServiceAlias.setDescription('Alias Name for the Service Entry') ipSifAliasServiceProtocol = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 29, 1, 3), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4, 6, 8, 9, 12, 16, 17, 20, 22, 27, 41, 46, 47, 50, 51, 56, 57, 65, 80, 88, 89, 94, 103, 111, 112, 115, 250, 251, 252, 253, 254, 255, 256))).clone(namedValues=NamedValues(("icmp", 1), ("igmp", 2), ("ggp", 3), ("ip", 4), ("tcp", 6), ("egp", 8), ("igp", 9), ("pup", 12), ("chaos", 16), ("udp", 17), ("hmp", 20), ("xns-idp", 22), ("rdp", 27), ("ipv6", 41), ("rsvp", 46), ("gre", 47), ("esp", 50), ("ah", 51), ("tlsp", 56), ("skip", 57), ("kryptolan", 65), ("iso-ip", 80), ("igrp", 88), ("ospf", 89), ("ipip", 94), ("pim", 103), ("ipx-in-ip", 111), ("vrrp", 112), ("l2tp", 115), ("local", 250), ("internet", 251), ("netmeeting", 252), ("udptcp", 253), ("any", 254), ("delete", 255), ("dont-verify", 256))).clone('any')).setMaxAccess("readwrite") if mibBuilder.loadTexts: ipSifAliasServiceProtocol.setStatus('mandatory') if mibBuilder.loadTexts: ipSifAliasServiceProtocol.setDescription('The protocol for the Service alias') ipSifAliasServicePort = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 29, 1, 4), Integer32().subtype(subtypeSpec=ValueRangeConstraint(-1, 65535)).clone(-1)).setMaxAccess("readwrite") if mibBuilder.loadTexts: ipSifAliasServicePort.setStatus('mandatory') if mibBuilder.loadTexts: ipSifAliasServicePort.setDescription('The Port for the Service Alias.') ipSifAliasServiceRange = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 29, 1, 5), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 65536)).clone(1)).setMaxAccess("readwrite") if mibBuilder.loadTexts: ipSifAliasServiceRange.setStatus('mandatory') if mibBuilder.loadTexts: ipSifAliasServiceRange.setDescription('The Port Range for the Service Alias.') ipSifAliasServiceType = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 29, 1, 6), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("predefined", 1), ("custom", 2))).clone('custom')).setMaxAccess("readonly") if mibBuilder.loadTexts: ipSifAliasServiceType.setStatus('mandatory') if mibBuilder.loadTexts: ipSifAliasServiceType.setDescription('Specifies wether created by the IP/SIF subsystem itself or created/modified by the administrator.') ipSifAliasServiceGroup = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 29, 1, 7), Integer32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: ipSifAliasServiceGroup.setStatus('mandatory') if mibBuilder.loadTexts: ipSifAliasServiceGroup.setDescription('For values greater than zero this entry determines the IP service group this entry belongs to, see also ipSifAliasServiceGroupId') ipSifAliasServiceSourcePort = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 29, 1, 8), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 65535))).setMaxAccess("readwrite") if mibBuilder.loadTexts: ipSifAliasServiceSourcePort.setStatus('mandatory') if mibBuilder.loadTexts: ipSifAliasServiceSourcePort.setDescription('The Source Port for the Service Alias.') ipSifAliasServiceSourceRange = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 29, 1, 9), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 65536)).clone(1)).setMaxAccess("readwrite") if mibBuilder.loadTexts: ipSifAliasServiceSourceRange.setStatus('mandatory') if mibBuilder.loadTexts: ipSifAliasServiceSourceRange.setDescription('The Source Port Range for the Service Alias.') ipSifAliasServiceIcmpType = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 29, 1, 10), Integer32().subtype(subtypeSpec=ValueRangeConstraint(-1, 255))).setMaxAccess("readwrite") if mibBuilder.loadTexts: ipSifAliasServiceIcmpType.setStatus('mandatory') if mibBuilder.loadTexts: ipSifAliasServiceIcmpType.setDescription('The ICMP Type for the Service Alias.') ipSifAliasServiceIcmpCode = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 29, 1, 11), Integer32().subtype(subtypeSpec=ValueRangeConstraint(-1, 255))).setMaxAccess("readwrite") if mibBuilder.loadTexts: ipSifAliasServiceIcmpCode.setStatus('mandatory') if mibBuilder.loadTexts: ipSifAliasServiceIcmpCode.setDescription('The ICMP Code for the Service Alias.') ipSifAliasTable = MibTable((1, 3, 6, 1, 4, 1, 272, 4, 5, 30), ) if mibBuilder.loadTexts: ipSifAliasTable.setStatus('mandatory') if mibBuilder.loadTexts: ipSifAliasTable.setDescription('Contains a Stateful Inspection Firewall (SIF) policy.') ipSifAliasEntry = MibTableRow((1, 3, 6, 1, 4, 1, 272, 4, 5, 30, 1), ).setIndexNames((0, "BIANCA-BRICK-SIF-MIB", "ipSifAliasOrder")) if mibBuilder.loadTexts: ipSifAliasEntry.setStatus('mandatory') if mibBuilder.loadTexts: ipSifAliasEntry.setDescription('') ipSifAliasOrder = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 30, 1, 1), Integer32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: ipSifAliasOrder.setStatus('mandatory') if mibBuilder.loadTexts: ipSifAliasOrder.setDescription('The Order for the Stateful Inspection Entry rule') ipSifAliasSource = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 30, 1, 2), Integer32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: ipSifAliasSource.setStatus('mandatory') if mibBuilder.loadTexts: ipSifAliasSource.setDescription('The alias Source Index for the Entry') ipSifAliasDestination = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 30, 1, 3), Integer32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: ipSifAliasDestination.setStatus('mandatory') if mibBuilder.loadTexts: ipSifAliasDestination.setDescription('The alias Destination Index for the Entry') ipSifAliasService = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 30, 1, 4), Integer32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: ipSifAliasService.setStatus('mandatory') if mibBuilder.loadTexts: ipSifAliasService.setDescription('The alias Protocol/service Index for Entry') ipSifAliasAction = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 30, 1, 5), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 255))).clone(namedValues=NamedValues(("access", 1), ("deny", 2), ("reject", 3), ("delete", 255))).clone('access')).setMaxAccess("readwrite") if mibBuilder.loadTexts: ipSifAliasAction.setStatus('mandatory') if mibBuilder.loadTexts: ipSifAliasAction.setDescription('The Rule for the Filter') ipSifAliasStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 30, 1, 6), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("enabled", 1), ("disabled", 2))).clone('enabled')).setMaxAccess("readwrite") if mibBuilder.loadTexts: ipSifAliasStatus.setStatus('mandatory') if mibBuilder.loadTexts: ipSifAliasStatus.setDescription('Defines the administrative status of this policy') ipSifAliasPriority = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 30, 1, 7), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4, 5))).clone(namedValues=NamedValues(("default", 1), ("low-latency", 2), ("high", 3), ("medium", 4), ("low", 5))).clone('default')).setMaxAccess("readwrite") if mibBuilder.loadTexts: ipSifAliasPriority.setStatus('mandatory') if mibBuilder.loadTexts: ipSifAliasPriority.setDescription('Defines the QoS priority of this policy') ipSifAliasClassId = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 30, 1, 8), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 255))).setMaxAccess("readwrite") if mibBuilder.loadTexts: ipSifAliasClassId.setStatus('mandatory') if mibBuilder.loadTexts: ipSifAliasClassId.setDescription('Internal ID for SIF policy to QoS policy mapping') ipSifRejectTable = MibTable((1, 3, 6, 1, 4, 1, 272, 4, 5, 31), ) if mibBuilder.loadTexts: ipSifRejectTable.setStatus('mandatory') if mibBuilder.loadTexts: ipSifRejectTable.setDescription('Contains actually rejected Frames with Source Destination ') ipSifRejectEntry = MibTableRow((1, 3, 6, 1, 4, 1, 272, 4, 5, 31, 1), ).setIndexNames((0, "BIANCA-BRICK-SIF-MIB", "ipSifRejectIndex")) if mibBuilder.loadTexts: ipSifRejectEntry.setStatus('mandatory') if mibBuilder.loadTexts: ipSifRejectEntry.setDescription('') ipSifRejectIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 31, 1, 1), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ipSifRejectIndex.setStatus('mandatory') if mibBuilder.loadTexts: ipSifRejectIndex.setDescription('The Index for the Reject Entry') ipSifRejectSource = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 31, 1, 2), IpAddress()).setMaxAccess("readonly") if mibBuilder.loadTexts: ipSifRejectSource.setStatus('mandatory') if mibBuilder.loadTexts: ipSifRejectSource.setDescription('The Reject Source for the Entry') ipSifRejectDestination = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 31, 1, 3), IpAddress()).setMaxAccess("readonly") if mibBuilder.loadTexts: ipSifRejectDestination.setStatus('mandatory') if mibBuilder.loadTexts: ipSifRejectDestination.setDescription('The Reject Destination Index for the Entry') ipSifRejectRejects = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 31, 1, 4), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ipSifRejectRejects.setStatus('mandatory') if mibBuilder.loadTexts: ipSifRejectRejects.setDescription('Count of rejected frames') ipSifRejectSilence = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 31, 1, 5), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ipSifRejectSilence.setStatus('mandatory') if mibBuilder.loadTexts: ipSifRejectSilence.setDescription('Last reject in seconds') ipSifRejectProtocol = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 31, 1, 6), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ipSifRejectProtocol.setStatus('mandatory') if mibBuilder.loadTexts: ipSifRejectProtocol.setDescription('The protocol of the rejected Packet') ipSifRejectPortLo = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 31, 1, 7), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ipSifRejectPortLo.setStatus('mandatory') if mibBuilder.loadTexts: ipSifRejectPortLo.setDescription('The lowest Port rejected') ipSifRejectPortHigh = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 31, 1, 8), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ipSifRejectPortHigh.setStatus('mandatory') if mibBuilder.loadTexts: ipSifRejectPortHigh.setDescription('The highest port rejected') ipSifExpectTable = MibTable((1, 3, 6, 1, 4, 1, 272, 4, 5, 35), ) if mibBuilder.loadTexts: ipSifExpectTable.setStatus('mandatory') if mibBuilder.loadTexts: ipSifExpectTable.setDescription('Contains expected Sessions with Source Destination ') ipSifExpectEntry = MibTableRow((1, 3, 6, 1, 4, 1, 272, 4, 5, 35, 1), ).setIndexNames((0, "BIANCA-BRICK-SIF-MIB", "ipSifExpectIndex")) if mibBuilder.loadTexts: ipSifExpectEntry.setStatus('mandatory') if mibBuilder.loadTexts: ipSifExpectEntry.setDescription('') ipSifExpectIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 35, 1, 1), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ipSifExpectIndex.setStatus('mandatory') if mibBuilder.loadTexts: ipSifExpectIndex.setDescription('This field is used for SIF-internal signalling and stores the index for the expected session for later matching.') ipSifExpectSource = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 35, 1, 2), IpAddress()).setMaxAccess("readonly") if mibBuilder.loadTexts: ipSifExpectSource.setStatus('mandatory') if mibBuilder.loadTexts: ipSifExpectSource.setDescription('The source-IP-address for the expected session. A value of 0 means ANY source-address.') ipSifExpectDestination = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 35, 1, 3), IpAddress()).setMaxAccess("readonly") if mibBuilder.loadTexts: ipSifExpectDestination.setStatus('mandatory') if mibBuilder.loadTexts: ipSifExpectDestination.setDescription('The destination-IP-address for the expected session. A value of 0 means ANY destination-address.') ipSifExpectProtocol = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 35, 1, 4), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(2, 4, 6, 17, 255))).clone(namedValues=NamedValues(("igmp", 2), ("ip", 4), ("tcp", 6), ("udp", 17), ("delete", 255))).clone('udp')).setMaxAccess("readwrite") if mibBuilder.loadTexts: ipSifExpectProtocol.setStatus('mandatory') if mibBuilder.loadTexts: ipSifExpectProtocol.setDescription('The protocol of the expected session.') ipSifExpectSourcePort = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 35, 1, 5), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ipSifExpectSourcePort.setStatus('mandatory') if mibBuilder.loadTexts: ipSifExpectSourcePort.setDescription('The source-port-number of the expected session. A value of 0 means ANY source-port-number.') ipSifExpectDestPort = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 35, 1, 6), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ipSifExpectDestPort.setStatus('mandatory') if mibBuilder.loadTexts: ipSifExpectDestPort.setDescription('The destination-port-number of the expected session. A value of 0 means ANY destination-port-number.') ipSifExpectPriority = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 35, 1, 7), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4, 5))).clone(namedValues=NamedValues(("default", 1), ("low-latency", 2), ("high", 3), ("medium", 4), ("low", 5))).clone('default')).setMaxAccess("readonly") if mibBuilder.loadTexts: ipSifExpectPriority.setStatus('mandatory') if mibBuilder.loadTexts: ipSifExpectPriority.setDescription('Defines the QoS-priority/policy to be used for the expected SIF-session.') ipSifExpectClassId = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 35, 1, 8), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 255))).setMaxAccess("readonly") if mibBuilder.loadTexts: ipSifExpectClassId.setStatus('mandatory') if mibBuilder.loadTexts: ipSifExpectClassId.setDescription('Internal ID for mapping SIF-policy to QoS-policy. Default-value of 0 means NOT SPECIFIED.') ipSifExpectIfIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 35, 1, 9), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ipSifExpectIfIndex.setStatus('mandatory') if mibBuilder.loadTexts: ipSifExpectIfIndex.setDescription('Interface-index for which the session is expected. A value of 0 means ANY interface-index.') ipSifAliasAddressGroupTable = MibTable((1, 3, 6, 1, 4, 1, 272, 4, 5, 47), ) if mibBuilder.loadTexts: ipSifAliasAddressGroupTable.setStatus('mandatory') if mibBuilder.loadTexts: ipSifAliasAddressGroupTable.setDescription('Defines IP address or interface group alias') ipSifAliasAddressGroupEntry = MibTableRow((1, 3, 6, 1, 4, 1, 272, 4, 5, 47, 1), ).setIndexNames((0, "BIANCA-BRICK-SIF-MIB", "ipSifAliasAddressGroupId")) if mibBuilder.loadTexts: ipSifAliasAddressGroupEntry.setStatus('mandatory') if mibBuilder.loadTexts: ipSifAliasAddressGroupEntry.setDescription('Defines IP address or interface group alias') ipSifAliasAddressGroupId = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 47, 1, 1), Integer32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: ipSifAliasAddressGroupId.setStatus('mandatory') if mibBuilder.loadTexts: ipSifAliasAddressGroupId.setDescription('The unique address group entry ID') ipSifAliasAddressGroupAlias = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 47, 1, 2), DisplayString()).setMaxAccess("readwrite") if mibBuilder.loadTexts: ipSifAliasAddressGroupAlias.setStatus('mandatory') if mibBuilder.loadTexts: ipSifAliasAddressGroupAlias.setDescription('Alias name for the address group entry') ipSifAliasAddressGroupIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 47, 1, 3), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ipSifAliasAddressGroupIndex.setStatus('mandatory') if mibBuilder.loadTexts: ipSifAliasAddressGroupIndex.setDescription('The index for the address group entry to be referred by an ipSifAlias entry') ipSifAliasAddressGroupMode = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 47, 1, 4), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("interface", 1), ("address", 2), ("delete", 3))).clone('interface')).setMaxAccess("readwrite") if mibBuilder.loadTexts: ipSifAliasAddressGroupMode.setStatus('mandatory') if mibBuilder.loadTexts: ipSifAliasAddressGroupMode.setDescription('Specifies wether this entry defines an interface or address group') ipSifAliasServiceGroupTable = MibTable((1, 3, 6, 1, 4, 1, 272, 4, 5, 48), ) if mibBuilder.loadTexts: ipSifAliasServiceGroupTable.setStatus('mandatory') if mibBuilder.loadTexts: ipSifAliasServiceGroupTable.setDescription('Defines IP service group alias') ipSifAliasServiceGroupEntry = MibTableRow((1, 3, 6, 1, 4, 1, 272, 4, 5, 48, 1), ).setIndexNames((0, "BIANCA-BRICK-SIF-MIB", "ipSifAliasServiceGroupId")) if mibBuilder.loadTexts: ipSifAliasServiceGroupEntry.setStatus('mandatory') if mibBuilder.loadTexts: ipSifAliasServiceGroupEntry.setDescription('Defines IP service group alias') ipSifAliasServiceGroupId = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 48, 1, 1), Integer32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: ipSifAliasServiceGroupId.setStatus('mandatory') if mibBuilder.loadTexts: ipSifAliasServiceGroupId.setDescription('The unique IP service group entry ID') ipSifAliasServiceGroupAlias = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 48, 1, 2), DisplayString()).setMaxAccess("readwrite") if mibBuilder.loadTexts: ipSifAliasServiceGroupAlias.setStatus('mandatory') if mibBuilder.loadTexts: ipSifAliasServiceGroupAlias.setDescription('Alias name for the IP service group entry') ipSifAliasServiceGroupIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 48, 1, 3), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ipSifAliasServiceGroupIndex.setStatus('mandatory') if mibBuilder.loadTexts: ipSifAliasServiceGroupIndex.setDescription('The index for the Ip service group entry to be referred by an ipSifAlias entry') ipSifAliasServiceGroupMode = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 48, 1, 4), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("service", 1), ("delete", 2))).clone('service')).setMaxAccess("readwrite") if mibBuilder.loadTexts: ipSifAliasServiceGroupMode.setStatus('mandatory') if mibBuilder.loadTexts: ipSifAliasServiceGroupMode.setDescription('Specifies wether this entry defines an IP service group or should be deleted') ipSifPolicyChkTable = MibTable((1, 3, 6, 1, 4, 1, 272, 4, 5, 49), ) if mibBuilder.loadTexts: ipSifPolicyChkTable.setStatus('mandatory') if mibBuilder.loadTexts: ipSifPolicyChkTable.setDescription("MIB interface in order to check the configured SIF polices: - for debugging purposes - for test applications - for configuration frontends NOTE: it's a stateless check, not based on a real IP session context ") ipSifPolicyChkEntry = MibTableRow((1, 3, 6, 1, 4, 1, 272, 4, 5, 49, 1), ).setIndexNames((0, "BIANCA-BRICK-SIF-MIB", "ipSifPolicyChkProtocol"), (0, "BIANCA-BRICK-SIF-MIB", "ipSifPolicyChkDestPort")) if mibBuilder.loadTexts: ipSifPolicyChkEntry.setStatus('mandatory') if mibBuilder.loadTexts: ipSifPolicyChkEntry.setDescription('') ipSifPolicyChkSourceIfIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 49, 1, 1), Integer32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: ipSifPolicyChkSourceIfIndex.setStatus('mandatory') if mibBuilder.loadTexts: ipSifPolicyChkSourceIfIndex.setDescription("The source interface index, for example '1' addresses the 'local' interface whereas '0' means 'don't check.") ipSifPolicyChkDestIfIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 49, 1, 2), Integer32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: ipSifPolicyChkDestIfIndex.setStatus('mandatory') if mibBuilder.loadTexts: ipSifPolicyChkDestIfIndex.setDescription("The destination interface index, for example '1' addresses the 'local' interface whereas '0' means 'don't check.'") ipSifPolicyChkSource = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 49, 1, 3), IpAddress()).setMaxAccess("readwrite") if mibBuilder.loadTexts: ipSifPolicyChkSource.setStatus('mandatory') if mibBuilder.loadTexts: ipSifPolicyChkSource.setDescription("The source IP address, 0.0.0.0 means 'don't check'.") ipSifPolicyChkDestination = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 49, 1, 4), IpAddress()).setMaxAccess("readwrite") if mibBuilder.loadTexts: ipSifPolicyChkDestination.setStatus('mandatory') if mibBuilder.loadTexts: ipSifPolicyChkDestination.setDescription("The destination IP address, 0.0.0.0 means 'don't check'.") ipSifPolicyChkProtocol = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 49, 1, 5), Integer32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: ipSifPolicyChkProtocol.setStatus('mandatory') if mibBuilder.loadTexts: ipSifPolicyChkProtocol.setDescription("The IP protocol number to checked, '0' means 'don't check.") ipSifPolicyChkDestPort = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 49, 1, 6), Integer32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: ipSifPolicyChkDestPort.setStatus('mandatory') if mibBuilder.loadTexts: ipSifPolicyChkDestPort.setDescription("The destination port number (UDP/TCP service) to checked, '0' means 'don't check.") ipSifPolicyChkRule = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 49, 1, 7), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4))).clone(namedValues=NamedValues(("access", 1), ("deny", 2), ("reject", 3), ("unknown", 4))).clone('unknown')).setMaxAccess("readonly") if mibBuilder.loadTexts: ipSifPolicyChkRule.setStatus('mandatory') if mibBuilder.loadTexts: ipSifPolicyChkRule.setDescription('Returns the associated policy, depending on: - ipSifAliasAction - ipSifAliasOrder - ipSifAliasStatus') ipSifPolicyChkRuleOrder = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 49, 1, 8), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ipSifPolicyChkRuleOrder.setStatus('mandatory') if mibBuilder.loadTexts: ipSifPolicyChkRuleOrder.setDescription('Returns the associated policy order (see ipSifAliasOrder).') ipSifPolicyChkResult = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 49, 1, 9), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("access", 1), ("deny", 2), ("unknown", 3))).clone('unknown')).setMaxAccess("readonly") if mibBuilder.loadTexts: ipSifPolicyChkResult.setStatus('mandatory') if mibBuilder.loadTexts: ipSifPolicyChkResult.setDescription('Returns the result depending on: - ipSifPolicyChkRule - administrative status (ipSifAdminStatus) - operational status of the SIF engine') ipSifPolicyChkState = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 49, 1, 10), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4))).clone(namedValues=NamedValues(("initial", 1), ("trigger", 2), ("running", 3), ("done", 4))).clone('initial')).setMaxAccess("readwrite") if mibBuilder.loadTexts: ipSifPolicyChkState.setStatus('mandatory') if mibBuilder.loadTexts: ipSifPolicyChkState.setDescription('Displays the current status of the policy check, when setting to trigger(2) a new check will be initiated.') ipSifPolicyChkAdminStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 49, 1, 11), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("check", 1), ("ignore", 2))).clone('check')).setMaxAccess("readwrite") if mibBuilder.loadTexts: ipSifPolicyChkAdminStatus.setStatus('mandatory') if mibBuilder.loadTexts: ipSifPolicyChkAdminStatus.setDescription('Determines wether the ipSifAdminStatus should be considered for the policy (check (1)) or not (ingnore (2)).') ipSifPolicyChkOperStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 49, 1, 12), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("check", 1), ("ignore", 2))).clone('check')).setMaxAccess("readwrite") if mibBuilder.loadTexts: ipSifPolicyChkOperStatus.setStatus('mandatory') if mibBuilder.loadTexts: ipSifPolicyChkOperStatus.setDescription('Determines wether the SIF operational status should be considered for the policy (check (1)) or not (ingnore (2)).') ipSifPolicyChkCurrOperStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 272, 4, 5, 49, 1, 13), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("up", 1), ("down", 2))).clone('down')).setMaxAccess("readonly") if mibBuilder.loadTexts: ipSifPolicyChkCurrOperStatus.setStatus('mandatory') if mibBuilder.loadTexts: ipSifPolicyChkCurrOperStatus.setDescription('The current SIF operational status.') ipSif = MibIdentifier((1, 3, 6, 1, 4, 1, 272, 4, 5, 37)) ipSifAdminStatus = MibScalar((1, 3, 6, 1, 4, 1, 272, 4, 5, 37, 1), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("enable", 1), ("disable", 2))).clone('enable')).setMaxAccess("readwrite") if mibBuilder.loadTexts: ipSifAdminStatus.setStatus('mandatory') if mibBuilder.loadTexts: ipSifAdminStatus.setDescription('Enable or disable Stateful Inspection Firewall.') ipSifLocalFilter = MibScalar((1, 3, 6, 1, 4, 1, 272, 4, 5, 37, 2), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("enable", 1), ("disable", 2))).clone('disable')).setMaxAccess("readwrite") if mibBuilder.loadTexts: ipSifLocalFilter.setStatus('mandatory') if mibBuilder.loadTexts: ipSifLocalFilter.setDescription('Enable or disable filtering on local requests') ipSifInterfaceFilter = MibScalar((1, 3, 6, 1, 4, 1, 272, 4, 5, 37, 3), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("enable", 1), ("disable", 2))).clone('enable')).setMaxAccess("readwrite") if mibBuilder.loadTexts: ipSifInterfaceFilter.setStatus('mandatory') if mibBuilder.loadTexts: ipSifInterfaceFilter.setDescription('Enable or disable filtering on same Interface packets') ipSifSysloglevel = MibScalar((1, 3, 6, 1, 4, 1, 272, 4, 5, 37, 4), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4))).clone(namedValues=NamedValues(("deny", 1), ("accept", 2), ("verbose", 3), ("none", 4))).clone('verbose')).setMaxAccess("readwrite") if mibBuilder.loadTexts: ipSifSysloglevel.setStatus('mandatory') if mibBuilder.loadTexts: ipSifSysloglevel.setDescription('Levels for less or more Informations in the Syslog, verbose : display all Sif Activity deny : display only rejects, ignore accept : display only accpts none : disable Syslogs') ipSifUdpTimeout = MibScalar((1, 3, 6, 1, 4, 1, 272, 4, 5, 37, 5), Integer32().subtype(subtypeSpec=ValueRangeConstraint(30, 86400)).clone(180)).setMaxAccess("readwrite") if mibBuilder.loadTexts: ipSifUdpTimeout.setStatus('mandatory') if mibBuilder.loadTexts: ipSifUdpTimeout.setDescription('Timeout on inactive UDP Session') ipSifTcpTimeout = MibScalar((1, 3, 6, 1, 4, 1, 272, 4, 5, 37, 6), Integer32().subtype(subtypeSpec=ValueRangeConstraint(30, 86400)).clone(3600)).setMaxAccess("readwrite") if mibBuilder.loadTexts: ipSifTcpTimeout.setStatus('mandatory') if mibBuilder.loadTexts: ipSifTcpTimeout.setDescription('Timeout on inactive TCP Session') ipSifPPTPTimeout = MibScalar((1, 3, 6, 1, 4, 1, 272, 4, 5, 37, 7), Integer32().subtype(subtypeSpec=ValueRangeConstraint(30, 86400)).clone(86400)).setMaxAccess("readwrite") if mibBuilder.loadTexts: ipSifPPTPTimeout.setStatus('mandatory') if mibBuilder.loadTexts: ipSifPPTPTimeout.setDescription('Timeout on inactive PPTP Session') ipSifDefaultTimeout = MibScalar((1, 3, 6, 1, 4, 1, 272, 4, 5, 37, 8), Integer32().subtype(subtypeSpec=ValueRangeConstraint(30, 86400)).clone(30)).setMaxAccess("readwrite") if mibBuilder.loadTexts: ipSifDefaultTimeout.setStatus('mandatory') if mibBuilder.loadTexts: ipSifDefaultTimeout.setDescription('Timeout on all other ip Sessions') ipSifMaxSessions = MibScalar((1, 3, 6, 1, 4, 1, 272, 4, 5, 37, 9), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 1000000))).setMaxAccess("readwrite") if mibBuilder.loadTexts: ipSifMaxSessions.setStatus('mandatory') if mibBuilder.loadTexts: ipSifMaxSessions.setDescription('Maximum number of monitored sessions') ipSifMaxRejectEntries = MibScalar((1, 3, 6, 1, 4, 1, 272, 4, 5, 37, 14), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 10000)).clone(1000)).setMaxAccess("readwrite") if mibBuilder.loadTexts: ipSifMaxRejectEntries.setStatus('mandatory') if mibBuilder.loadTexts: ipSifMaxRejectEntries.setDescription('Maximum number of ipSifRejectTable entries') ipSifMaxRejectTtl = MibScalar((1, 3, 6, 1, 4, 1, 272, 4, 5, 37, 15), Integer32().subtype(subtypeSpec=ValueRangeConstraint(5, 86400)).clone(3600)).setMaxAccess("readwrite") if mibBuilder.loadTexts: ipSifMaxRejectTtl.setStatus('mandatory') if mibBuilder.loadTexts: ipSifMaxRejectTtl.setDescription('Maximum time to live of the ipSifRejectTable entries in seconds') ipSifInterfaceAliasAutoCreate = MibScalar((1, 3, 6, 1, 4, 1, 272, 4, 5, 37, 16), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("enable", 1), ("disable", 2))).clone('enable')).setMaxAccess("readwrite") if mibBuilder.loadTexts: ipSifInterfaceAliasAutoCreate.setStatus('mandatory') if mibBuilder.loadTexts: ipSifInterfaceAliasAutoCreate.setDescription('Enable or disable automatic creation of interface aliases (see ipSifAliasAddressTable) due to created MPR interfaces visible in ifTable.') ipSifStat = MibIdentifier((1, 3, 6, 1, 4, 1, 272, 4, 5, 46)) ipSifStatCurrSessions = MibScalar((1, 3, 6, 1, 4, 1, 272, 4, 5, 46, 1), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ipSifStatCurrSessions.setStatus('mandatory') if mibBuilder.loadTexts: ipSifStatCurrSessions.setDescription('Current number of all monitored sessions') ipSifStatCurrUdpSessions = MibScalar((1, 3, 6, 1, 4, 1, 272, 4, 5, 46, 2), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ipSifStatCurrUdpSessions.setStatus('mandatory') if mibBuilder.loadTexts: ipSifStatCurrUdpSessions.setDescription('Current number of monitored UDP sessions') ipSifStatCurrTcpSessions = MibScalar((1, 3, 6, 1, 4, 1, 272, 4, 5, 46, 3), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ipSifStatCurrTcpSessions.setStatus('mandatory') if mibBuilder.loadTexts: ipSifStatCurrTcpSessions.setDescription('Current number of monitored TCP sessions') ipSifStatCurrOtherSessions = MibScalar((1, 3, 6, 1, 4, 1, 272, 4, 5, 46, 4), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ipSifStatCurrOtherSessions.setStatus('mandatory') if mibBuilder.loadTexts: ipSifStatCurrOtherSessions.setDescription('Current number of monitored non-TCP/UDP sessions') ipSifStatCurrExpectedSessions = MibScalar((1, 3, 6, 1, 4, 1, 272, 4, 5, 46, 5), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ipSifStatCurrExpectedSessions.setStatus('mandatory') if mibBuilder.loadTexts: ipSifStatCurrExpectedSessions.setDescription('Current number of created expected sessions') ipSifStatTotalUdpSessions = MibScalar((1, 3, 6, 1, 4, 1, 272, 4, 5, 46, 6), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ipSifStatTotalUdpSessions.setStatus('mandatory') if mibBuilder.loadTexts: ipSifStatTotalUdpSessions.setDescription('Total number of monitored UDP sessions') ipSifStatTotalTcpSessions = MibScalar((1, 3, 6, 1, 4, 1, 272, 4, 5, 46, 7), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ipSifStatTotalTcpSessions.setStatus('mandatory') if mibBuilder.loadTexts: ipSifStatTotalTcpSessions.setDescription('Total number of monitored TCP sessions') ipSifStatTotalOtherSessions = MibScalar((1, 3, 6, 1, 4, 1, 272, 4, 5, 46, 8), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ipSifStatTotalOtherSessions.setStatus('mandatory') if mibBuilder.loadTexts: ipSifStatTotalOtherSessions.setDescription('Total number of monitored non-TCP/UDP sessions') ipSifStatTotalExpectedSessions = MibScalar((1, 3, 6, 1, 4, 1, 272, 4, 5, 46, 9), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ipSifStatTotalExpectedSessions.setStatus('mandatory') if mibBuilder.loadTexts: ipSifStatTotalExpectedSessions.setDescription('Total number of monitored non-TCP/UDP sessions') mibBuilder.exportSymbols("BIANCA-BRICK-SIF-MIB", ipSifPolicyChkDestPort=ipSifPolicyChkDestPort, ipSifAliasAddressEntry=ipSifAliasAddressEntry, ipSifAliasServiceType=ipSifAliasServiceType, ipSifPolicyChkRule=ipSifPolicyChkRule, ipSifExpectTable=ipSifExpectTable, ipSifInterfaceFilter=ipSifInterfaceFilter, ipSifAliasAddressGroupIndex=ipSifAliasAddressGroupIndex, ipSifAliasSource=ipSifAliasSource, ipSifRejectTable=ipSifRejectTable, ipSifMaxRejectEntries=ipSifMaxRejectEntries, ipSifAliasServiceRange=ipSifAliasServiceRange, ipSifStatCurrSessions=ipSifStatCurrSessions, ipSifExpectEntry=ipSifExpectEntry, ipSifAliasServiceGroupTable=ipSifAliasServiceGroupTable, ipSifPPTPTimeout=ipSifPPTPTimeout, ipSifExpectSourcePort=ipSifExpectSourcePort, ipSifRejectPortHigh=ipSifRejectPortHigh, ipSifLocalFilter=ipSifLocalFilter, ipSifStatCurrExpectedSessions=ipSifStatCurrExpectedSessions, ipSifPolicyChkSource=ipSifPolicyChkSource, ipSifAliasService=ipSifAliasService, ipSifAliasAddressGroupAlias=ipSifAliasAddressGroupAlias, ipSifStatTotalTcpSessions=ipSifStatTotalTcpSessions, ipSifAliasServicePort=ipSifAliasServicePort, ipSifAliasServiceGroupIndex=ipSifAliasServiceGroupIndex, ipSifExpectDestPort=ipSifExpectDestPort, ipSifAliasAddressIndex=ipSifAliasAddressIndex, ipSifPolicyChkRuleOrder=ipSifPolicyChkRuleOrder, ipSifRejectIndex=ipSifRejectIndex, ipSifPolicyChkTable=ipSifPolicyChkTable, ipSifAliasAddressRange=ipSifAliasAddressRange, ipSifAliasAddressTable=ipSifAliasAddressTable, ipSifExpectDestination=ipSifExpectDestination, ipSifPolicyChkState=ipSifPolicyChkState, ipSifAliasServiceGroupEntry=ipSifAliasServiceGroupEntry, ipSifAliasServiceGroupMode=ipSifAliasServiceGroupMode, ipSifTcpTimeout=ipSifTcpTimeout, ipSifAliasTable=ipSifAliasTable, bintec=bintec, ipSifAliasOrder=ipSifAliasOrder, ipSifExpectClassId=ipSifExpectClassId, ipSifStat=ipSifStat, ipSifPolicyChkCurrOperStatus=ipSifPolicyChkCurrOperStatus, ipSifAliasPriority=ipSifAliasPriority, ipSifStatCurrTcpSessions=ipSifStatCurrTcpSessions, ipSifMaxSessions=ipSifMaxSessions, ipSifRejectSource=ipSifRejectSource, ipSifAliasServiceIndex=ipSifAliasServiceIndex, ipSifPolicyChkDestination=ipSifPolicyChkDestination, ipSifAliasServiceGroupAlias=ipSifAliasServiceGroupAlias, ipSifAliasServiceAlias=ipSifAliasServiceAlias, ipSifExpectIfIndex=ipSifExpectIfIndex, ipSifAliasAddressGroupTable=ipSifAliasAddressGroupTable, ipSifPolicyChkEntry=ipSifPolicyChkEntry, ipSif=ipSif, ipSifPolicyChkOperStatus=ipSifPolicyChkOperStatus, ipSifStatCurrUdpSessions=ipSifStatCurrUdpSessions, ipSifRejectEntry=ipSifRejectEntry, ipSifRejectSilence=ipSifRejectSilence, ipSifAliasEntry=ipSifAliasEntry, ipSifAdminStatus=ipSifAdminStatus, ipSifAliasServiceIcmpType=ipSifAliasServiceIcmpType, ipSifAliasAddressGroupEntry=ipSifAliasAddressGroupEntry, ipSifPolicyChkResult=ipSifPolicyChkResult, ipSifAliasAddressMask=ipSifAliasAddressMask, ipSifAliasServiceEntry=ipSifAliasServiceEntry, ipSifAliasServiceSourcePort=ipSifAliasServiceSourcePort, ipSifPolicyChkSourceIfIndex=ipSifPolicyChkSourceIfIndex, ipSifAliasAddressMode=ipSifAliasAddressMode, bibo=bibo, ipSifAliasAddressAddress=ipSifAliasAddressAddress, ipSifUdpTimeout=ipSifUdpTimeout, ipSifStatTotalOtherSessions=ipSifStatTotalOtherSessions, ipSifRejectDestination=ipSifRejectDestination, ipSifPolicyChkAdminStatus=ipSifPolicyChkAdminStatus, ipSifStatTotalUdpSessions=ipSifStatTotalUdpSessions, ipSifPolicyChkProtocol=ipSifPolicyChkProtocol, ipSifAliasAddressGroup=ipSifAliasAddressGroup, ipSifRejectRejects=ipSifRejectRejects, ipSifAliasServiceSourceRange=ipSifAliasServiceSourceRange, ipSifAliasServiceTable=ipSifAliasServiceTable, ipSifMaxRejectTtl=ipSifMaxRejectTtl, ipSifAliasServiceGroupId=ipSifAliasServiceGroupId, ipSifExpectProtocol=ipSifExpectProtocol, ipSifExpectIndex=ipSifExpectIndex, ipSifAliasClassId=ipSifAliasClassId, ipSifAliasStatus=ipSifAliasStatus, biboip=biboip, ipSifInterfaceAliasAutoCreate=ipSifInterfaceAliasAutoCreate, ipSifAliasServiceIcmpCode=ipSifAliasServiceIcmpCode, ipSifAliasAddressInterface=ipSifAliasAddressInterface, ipSifAliasServiceProtocol=ipSifAliasServiceProtocol, ipSifAliasAddressGroupMode=ipSifAliasAddressGroupMode, ipSifRejectPortLo=ipSifRejectPortLo, ipSifAliasAddressAlias=ipSifAliasAddressAlias, ipSifAliasAction=ipSifAliasAction, ipSifRejectProtocol=ipSifRejectProtocol, ipSifStatCurrOtherSessions=ipSifStatCurrOtherSessions, ipSifStatTotalExpectedSessions=ipSifStatTotalExpectedSessions, ipSifExpectPriority=ipSifExpectPriority, ipSifDefaultTimeout=ipSifDefaultTimeout, ipSifExpectSource=ipSifExpectSource, ipSifPolicyChkDestIfIndex=ipSifPolicyChkDestIfIndex, ipSifAliasAddressGroupId=ipSifAliasAddressGroupId, ipSifAliasDestination=ipSifAliasDestination, ipSifSysloglevel=ipSifSysloglevel, ipSifAliasServiceGroup=ipSifAliasServiceGroup)

true

f70d8d3d1901c92377d3073f065701dc3eb38e40

19,185

py

Python

azure-mgmt-datalake-store/azure/mgmt/datalake/store/operations/trusted_id_providers_operations.py

azuresdkci1x/azure-sdk-for-python-1722

e08fa6606543ce0f35b93133dbb78490f8e6bcc9

[ "MIT" ]

1

2018-11-09T06:16:34.000Z

azure-mgmt-datalake-store/azure/mgmt/datalake/store/operations/trusted_id_providers_operations.py

azuresdkci1x/azure-sdk-for-python-1722

e08fa6606543ce0f35b93133dbb78490f8e6bcc9

[ "MIT" ]

null

azure-mgmt-datalake-store/azure/mgmt/datalake/store/operations/trusted_id_providers_operations.py

azuresdkci1x/azure-sdk-for-python-1722

e08fa6606543ce0f35b93133dbb78490f8e6bcc9

[ "MIT" ]

1

2018-11-09T06:17:41.000Z

# coding=utf-8 # -------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for # license information. # # Code generated by Microsoft (R) AutoRest Code Generator. # Changes may cause incorrect behavior and will be lost if the code is # regenerated. # -------------------------------------------------------------------------- from msrest.pipeline import ClientRawResponse from msrestazure.azure_exceptions import CloudError import uuid from .. import models class TrustedIdProvidersOperations(object): """TrustedIdProvidersOperations operations. :param client: Client for service requests. :param config: Configuration of service client. :param serializer: An object model serializer. :param deserializer: An objec model deserializer. """ def __init__(self, client, config, serializer, deserializer): self._client = client self._serialize = serializer self._deserialize = deserializer self.config = config def create_or_update( self, resource_group_name, account_name, trusted_id_provider_name, id_provider, name=None, custom_headers=None, raw=False, **operation_config): """Creates or updates the specified trusted identity provider. During update, the trusted identity provider with the specified name will be replaced with this new provider. :param resource_group_name: The name of the Azure resource group that contains the Data Lake Store account. :type resource_group_name: str :param account_name: The name of the Data Lake Store account to add or replace the trusted identity provider. :type account_name: str :param trusted_id_provider_name: The name of the trusted identity provider. This is used for differentiation of providers in the account. :type trusted_id_provider_name: str :param id_provider: The URL of this trusted identity provider :type id_provider: str :param name: Resource name :type name: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :rtype: :class:`TrustedIdProvider <azure.mgmt.datalake.store.models.TrustedIdProvider>` :rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>` if raw=true :raises: :class:`CloudError<msrestazure.azure_exceptions.CloudError>` """ parameters = models.TrustedIdProvider(name=name, id_provider=id_provider) # Construct URL url = '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.DataLakeStore/accounts/{accountName}/trustedIdProviders/{trustedIdProviderName}' path_format_arguments = { 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str'), 'accountName': self._serialize.url("account_name", account_name, 'str'), 'trustedIdProviderName': self._serialize.url("trusted_id_provider_name", trusted_id_provider_name, 'str'), 'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} query_parameters['api-version'] = self._serialize.query("self.config.api_version", self.config.api_version, 'str') # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if self.config.generate_client_request_id: header_parameters['x-ms-client-request-id'] = str(uuid.uuid1()) if custom_headers: header_parameters.update(custom_headers) if self.config.accept_language is not None: header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str') # Construct body body_content = self._serialize.body(parameters, 'TrustedIdProvider') # Construct and send request request = self._client.put(url, query_parameters) response = self._client.send( request, header_parameters, body_content, **operation_config) if response.status_code not in [200]: exp = CloudError(response) exp.request_id = response.headers.get('x-ms-request-id') raise exp deserialized = None if response.status_code == 200: deserialized = self._deserialize('TrustedIdProvider', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized def update( self, resource_group_name, account_name, trusted_id_provider_name, id_provider=None, custom_headers=None, raw=False, **operation_config): """Updates the specified trusted identity provider. :param resource_group_name: The name of the Azure resource group that contains the Data Lake Store account. :type resource_group_name: str :param account_name: The name of the Data Lake Store account to which to update the trusted identity provider. :type account_name: str :param trusted_id_provider_name: The name of the trusted identity provider. This is used for differentiation of providers in the account. :type trusted_id_provider_name: str :param id_provider: The URL of this trusted identity provider :type id_provider: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :rtype: :class:`TrustedIdProvider <azure.mgmt.datalake.store.models.TrustedIdProvider>` :rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>` if raw=true :raises: :class:`CloudError<msrestazure.azure_exceptions.CloudError>` """ parameters = None if id_provider is not None: parameters = models.UpdateTrustedIdProviderParameters(id_provider=id_provider) # Construct URL url = '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.DataLakeStore/accounts/{accountName}/trustedIdProviders/{trustedIdProviderName}' path_format_arguments = { 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str'), 'accountName': self._serialize.url("account_name", account_name, 'str'), 'trustedIdProviderName': self._serialize.url("trusted_id_provider_name", trusted_id_provider_name, 'str'), 'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} query_parameters['api-version'] = self._serialize.query("self.config.api_version", self.config.api_version, 'str') # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if self.config.generate_client_request_id: header_parameters['x-ms-client-request-id'] = str(uuid.uuid1()) if custom_headers: header_parameters.update(custom_headers) if self.config.accept_language is not None: header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str') # Construct body if parameters is not None: body_content = self._serialize.body(parameters, 'UpdateTrustedIdProviderParameters') else: body_content = None # Construct and send request request = self._client.patch(url, query_parameters) response = self._client.send( request, header_parameters, body_content, **operation_config) if response.status_code not in [200]: exp = CloudError(response) exp.request_id = response.headers.get('x-ms-request-id') raise exp deserialized = None if response.status_code == 200: deserialized = self._deserialize('TrustedIdProvider', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized def delete( self, resource_group_name, account_name, trusted_id_provider_name, custom_headers=None, raw=False, **operation_config): """Deletes the specified trusted identity provider from the specified Data Lake Store account. :param resource_group_name: The name of the Azure resource group that contains the Data Lake Store account. :type resource_group_name: str :param account_name: The name of the Data Lake Store account from which to delete the trusted identity provider. :type account_name: str :param trusted_id_provider_name: The name of the trusted identity provider to delete. :type trusted_id_provider_name: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :rtype: None :rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>` if raw=true :raises: :class:`CloudError<msrestazure.azure_exceptions.CloudError>` """ # Construct URL url = '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.DataLakeStore/accounts/{accountName}/trustedIdProviders/{trustedIdProviderName}' path_format_arguments = { 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str'), 'accountName': self._serialize.url("account_name", account_name, 'str'), 'trustedIdProviderName': self._serialize.url("trusted_id_provider_name", trusted_id_provider_name, 'str'), 'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} query_parameters['api-version'] = self._serialize.query("self.config.api_version", self.config.api_version, 'str') # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if self.config.generate_client_request_id: header_parameters['x-ms-client-request-id'] = str(uuid.uuid1()) if custom_headers: header_parameters.update(custom_headers) if self.config.accept_language is not None: header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str') # Construct and send request request = self._client.delete(url, query_parameters) response = self._client.send(request, header_parameters, **operation_config) if response.status_code not in [200, 204]: exp = CloudError(response) exp.request_id = response.headers.get('x-ms-request-id') raise exp if raw: client_raw_response = ClientRawResponse(None, response) return client_raw_response def get( self, resource_group_name, account_name, trusted_id_provider_name, custom_headers=None, raw=False, **operation_config): """Gets the specified Data Lake Store trusted identity provider. :param resource_group_name: The name of the Azure resource group that contains the Data Lake Store account. :type resource_group_name: str :param account_name: The name of the Data Lake Store account from which to get the trusted identity provider. :type account_name: str :param trusted_id_provider_name: The name of the trusted identity provider to retrieve. :type trusted_id_provider_name: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :rtype: :class:`TrustedIdProvider <azure.mgmt.datalake.store.models.TrustedIdProvider>` :rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>` if raw=true :raises: :class:`CloudError<msrestazure.azure_exceptions.CloudError>` """ # Construct URL url = '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.DataLakeStore/accounts/{accountName}/trustedIdProviders/{trustedIdProviderName}' path_format_arguments = { 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str'), 'accountName': self._serialize.url("account_name", account_name, 'str'), 'trustedIdProviderName': self._serialize.url("trusted_id_provider_name", trusted_id_provider_name, 'str'), 'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} query_parameters['api-version'] = self._serialize.query("self.config.api_version", self.config.api_version, 'str') # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if self.config.generate_client_request_id: header_parameters['x-ms-client-request-id'] = str(uuid.uuid1()) if custom_headers: header_parameters.update(custom_headers) if self.config.accept_language is not None: header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str') # Construct and send request request = self._client.get(url, query_parameters) response = self._client.send(request, header_parameters, **operation_config) if response.status_code not in [200]: exp = CloudError(response) exp.request_id = response.headers.get('x-ms-request-id') raise exp deserialized = None if response.status_code == 200: deserialized = self._deserialize('TrustedIdProvider', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized def list_by_account( self, resource_group_name, account_name, custom_headers=None, raw=False, **operation_config): """Lists the Data Lake Store trusted identity providers within the specified Data Lake Store account. :param resource_group_name: The name of the Azure resource group that contains the Data Lake Store account. :type resource_group_name: str :param account_name: The name of the Data Lake Store account from which to get the trusted identity providers. :type account_name: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :rtype: :class:`TrustedIdProviderPaged <azure.mgmt.datalake.store.models.TrustedIdProviderPaged>` :raises: :class:`CloudError<msrestazure.azure_exceptions.CloudError>` """ def internal_paging(next_link=None, raw=False): if not next_link: # Construct URL url = '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.DataLakeStore/accounts/{accountName}/trustedIdProviders' path_format_arguments = { 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str'), 'accountName': self._serialize.url("account_name", account_name, 'str'), 'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} query_parameters['api-version'] = self._serialize.query("self.config.api_version", self.config.api_version, 'str') else: url = next_link query_parameters = {} # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if self.config.generate_client_request_id: header_parameters['x-ms-client-request-id'] = str(uuid.uuid1()) if custom_headers: header_parameters.update(custom_headers) if self.config.accept_language is not None: header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str') # Construct and send request request = self._client.get(url, query_parameters) response = self._client.send( request, header_parameters, **operation_config) if response.status_code not in [200]: exp = CloudError(response) exp.request_id = response.headers.get('x-ms-request-id') raise exp return response # Deserialize response deserialized = models.TrustedIdProviderPaged(internal_paging, self._deserialize.dependencies) if raw: header_dict = {} client_raw_response = models.TrustedIdProviderPaged(internal_paging, self._deserialize.dependencies, header_dict) return client_raw_response return deserialized

48.082707

182

0.675319

from msrest.pipeline import ClientRawResponse from msrestazure.azure_exceptions import CloudError import uuid from .. import models class TrustedIdProvidersOperations(object): def __init__(self, client, config, serializer, deserializer): self._client = client self._serialize = serializer self._deserialize = deserializer self.config = config def create_or_update( self, resource_group_name, account_name, trusted_id_provider_name, id_provider, name=None, custom_headers=None, raw=False, **operation_config): parameters = models.TrustedIdProvider(name=name, id_provider=id_provider) url = '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.DataLakeStore/accounts/{accountName}/trustedIdProviders/{trustedIdProviderName}' path_format_arguments = { 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str'), 'accountName': self._serialize.url("account_name", account_name, 'str'), 'trustedIdProviderName': self._serialize.url("trusted_id_provider_name", trusted_id_provider_name, 'str'), 'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str') } url = self._client.format_url(url, **path_format_arguments) query_parameters = {} query_parameters['api-version'] = self._serialize.query("self.config.api_version", self.config.api_version, 'str') header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if self.config.generate_client_request_id: header_parameters['x-ms-client-request-id'] = str(uuid.uuid1()) if custom_headers: header_parameters.update(custom_headers) if self.config.accept_language is not None: header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str') body_content = self._serialize.body(parameters, 'TrustedIdProvider') request = self._client.put(url, query_parameters) response = self._client.send( request, header_parameters, body_content, **operation_config) if response.status_code not in [200]: exp = CloudError(response) exp.request_id = response.headers.get('x-ms-request-id') raise exp deserialized = None if response.status_code == 200: deserialized = self._deserialize('TrustedIdProvider', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized def update( self, resource_group_name, account_name, trusted_id_provider_name, id_provider=None, custom_headers=None, raw=False, **operation_config): parameters = None if id_provider is not None: parameters = models.UpdateTrustedIdProviderParameters(id_provider=id_provider) url = '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.DataLakeStore/accounts/{accountName}/trustedIdProviders/{trustedIdProviderName}' path_format_arguments = { 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str'), 'accountName': self._serialize.url("account_name", account_name, 'str'), 'trustedIdProviderName': self._serialize.url("trusted_id_provider_name", trusted_id_provider_name, 'str'), 'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str') } url = self._client.format_url(url, **path_format_arguments) query_parameters = {} query_parameters['api-version'] = self._serialize.query("self.config.api_version", self.config.api_version, 'str') header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if self.config.generate_client_request_id: header_parameters['x-ms-client-request-id'] = str(uuid.uuid1()) if custom_headers: header_parameters.update(custom_headers) if self.config.accept_language is not None: header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str') if parameters is not None: body_content = self._serialize.body(parameters, 'UpdateTrustedIdProviderParameters') else: body_content = None request = self._client.patch(url, query_parameters) response = self._client.send( request, header_parameters, body_content, **operation_config) if response.status_code not in [200]: exp = CloudError(response) exp.request_id = response.headers.get('x-ms-request-id') raise exp deserialized = None if response.status_code == 200: deserialized = self._deserialize('TrustedIdProvider', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized def delete( self, resource_group_name, account_name, trusted_id_provider_name, custom_headers=None, raw=False, **operation_config): url = '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.DataLakeStore/accounts/{accountName}/trustedIdProviders/{trustedIdProviderName}' path_format_arguments = { 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str'), 'accountName': self._serialize.url("account_name", account_name, 'str'), 'trustedIdProviderName': self._serialize.url("trusted_id_provider_name", trusted_id_provider_name, 'str'), 'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str') } url = self._client.format_url(url, **path_format_arguments) query_parameters = {} query_parameters['api-version'] = self._serialize.query("self.config.api_version", self.config.api_version, 'str') header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if self.config.generate_client_request_id: header_parameters['x-ms-client-request-id'] = str(uuid.uuid1()) if custom_headers: header_parameters.update(custom_headers) if self.config.accept_language is not None: header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str') request = self._client.delete(url, query_parameters) response = self._client.send(request, header_parameters, **operation_config) if response.status_code not in [200, 204]: exp = CloudError(response) exp.request_id = response.headers.get('x-ms-request-id') raise exp if raw: client_raw_response = ClientRawResponse(None, response) return client_raw_response def get( self, resource_group_name, account_name, trusted_id_provider_name, custom_headers=None, raw=False, **operation_config): url = '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.DataLakeStore/accounts/{accountName}/trustedIdProviders/{trustedIdProviderName}' path_format_arguments = { 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str'), 'accountName': self._serialize.url("account_name", account_name, 'str'), 'trustedIdProviderName': self._serialize.url("trusted_id_provider_name", trusted_id_provider_name, 'str'), 'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str') } url = self._client.format_url(url, **path_format_arguments) query_parameters = {} query_parameters['api-version'] = self._serialize.query("self.config.api_version", self.config.api_version, 'str') header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if self.config.generate_client_request_id: header_parameters['x-ms-client-request-id'] = str(uuid.uuid1()) if custom_headers: header_parameters.update(custom_headers) if self.config.accept_language is not None: header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str') request = self._client.get(url, query_parameters) response = self._client.send(request, header_parameters, **operation_config) if response.status_code not in [200]: exp = CloudError(response) exp.request_id = response.headers.get('x-ms-request-id') raise exp deserialized = None if response.status_code == 200: deserialized = self._deserialize('TrustedIdProvider', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized def list_by_account( self, resource_group_name, account_name, custom_headers=None, raw=False, **operation_config): def internal_paging(next_link=None, raw=False): if not next_link: url = '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.DataLakeStore/accounts/{accountName}/trustedIdProviders' path_format_arguments = { 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str'), 'accountName': self._serialize.url("account_name", account_name, 'str'), 'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str') } url = self._client.format_url(url, **path_format_arguments) query_parameters = {} query_parameters['api-version'] = self._serialize.query("self.config.api_version", self.config.api_version, 'str') else: url = next_link query_parameters = {} header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if self.config.generate_client_request_id: header_parameters['x-ms-client-request-id'] = str(uuid.uuid1()) if custom_headers: header_parameters.update(custom_headers) if self.config.accept_language is not None: header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str') request = self._client.get(url, query_parameters) response = self._client.send( request, header_parameters, **operation_config) if response.status_code not in [200]: exp = CloudError(response) exp.request_id = response.headers.get('x-ms-request-id') raise exp return response deserialized = models.TrustedIdProviderPaged(internal_paging, self._deserialize.dependencies) if raw: header_dict = {} client_raw_response = models.TrustedIdProviderPaged(internal_paging, self._deserialize.dependencies, header_dict) return client_raw_response return deserialized

true

f70d8d8d0a5e10ab1459d7f03e210358d64e4181

14,027

py

Python

pytorch_lightning/callbacks/model_checkpoint.py

DanielOrtega94/pytorch-lightning

817d25b157b9e4ad1eb0f74f8583b47f31776857

[ "Apache-2.0" ]

4

2021-02-28T11:58:18.000Z

2022-02-03T03:26:45.000Z

pytorch_lightning/callbacks/model_checkpoint.py

linshaoxin-maker/taas

34e11fab167a7beb78fbe6991ff8721dc9208793

[ "MIT" ]

2

2020-06-20T07:03:34.000Z

2020-07-25T01:49:23.000Z

pytorch_lightning/callbacks/model_checkpoint.py

linshaoxin-maker/taas

34e11fab167a7beb78fbe6991ff8721dc9208793

[ "MIT" ]

1

2020-08-28T00:06:18.000Z

""" Model Checkpointing =================== Automatically save model checkpoints during training. """ import os import re import numpy as np from typing import Optional import torch from pytorch_lightning import _logger as log from pytorch_lightning.callbacks.base import Callback from pytorch_lightning.utilities import rank_zero_warn, rank_zero_only class ModelCheckpoint(Callback): r""" Save the model after every epoch if it improves. After training finishes, use :attr:`best_model_path` to retrieve the path to the best checkpoint file and :attr:`best_model_score` to retrieve its score. Args: filepath: path to save the model file. Can contain named formatting options to be auto-filled. Example:: # custom path # saves a file like: my/path/epoch_0.ckpt >>> checkpoint_callback = ModelCheckpoint('my/path/') # save any arbitrary metrics like `val_loss`, etc. in name # saves a file like: my/path/epoch=2-val_loss=0.2_other_metric=0.3.ckpt >>> checkpoint_callback = ModelCheckpoint( ... filepath='my/path/{epoch}-{val_loss:.2f}-{other_metric:.2f}' ... ) Can also be set to `None`, then it will be set to default location during trainer construction. monitor: quantity to monitor. verbose: verbosity mode. Default: ``False``. save_last: always saves the model at the end of the epoch. Default: ``False``. save_top_k: if `save_top_k == k`, the best k models according to the quantity monitored will be saved. if ``save_top_k == 0``, no models are saved. if ``save_top_k == -1``, all models are saved. Please note that the monitors are checked every `period` epochs. if ``save_top_k >= 2`` and the callback is called multiple times inside an epoch, the name of the saved file will be appended with a version count starting with `v0`. mode: one of {auto, min, max}. If ``save_top_k != 0``, the decision to overwrite the current save file is made based on either the maximization or the minimization of the monitored quantity. For `val_acc`, this should be `max`, for `val_loss` this should be `min`, etc. In `auto` mode, the direction is automatically inferred from the name of the monitored quantity. save_weights_only: if ``True``, then only the model's weights will be saved (``model.save_weights(filepath)``), else the full model is saved (``model.save(filepath)``). period: Interval (number of epochs) between checkpoints. Example:: >>> from pytorch_lightning import Trainer >>> from pytorch_lightning.callbacks import ModelCheckpoint # saves checkpoints to 'my/path/' whenever 'val_loss' has a new min >>> checkpoint_callback = ModelCheckpoint(filepath='my/path/') >>> trainer = Trainer(checkpoint_callback=checkpoint_callback) # save epoch and val_loss in name # saves a file like: my/path/sample-mnist_epoch=02_val_loss=0.32.ckpt >>> checkpoint_callback = ModelCheckpoint( ... filepath='my/path/sample-mnist_{epoch:02d}-{val_loss:.2f}' ... ) # retrieve the best checkpoint after training checkpoint_callback = ModelCheckpoint(filepath='my/path/') trainer = Trainer(checkpoint_callback=checkpoint_callback) model = ... trainer.fit(model) checkpoint_callback.best_model_path """ def __init__(self, filepath: Optional[str] = None, monitor: str = 'val_loss', verbose: bool = False, save_last: bool = False, save_top_k: int = 1, save_weights_only: bool = False, mode: str = 'auto', period: int = 1, prefix: str = ''): super().__init__() if save_top_k > 0 and filepath is not None and os.path.isdir(filepath) and len(os.listdir(filepath)) > 0: rank_zero_warn( f"Checkpoint directory {filepath} exists and is not empty with save_top_k != 0." "All files in this directory will be deleted when a checkpoint is saved!" ) self._rank = 0 self.monitor = monitor self.verbose = verbose if filepath is None: # will be determined by trainer at runtime self.dirpath, self.filename = None, None else: if os.path.isdir(filepath): self.dirpath, self.filename = filepath, '{epoch}' else: filepath = os.path.realpath(filepath) self.dirpath, self.filename = os.path.split(filepath) os.makedirs(self.dirpath, exist_ok=True) self.save_last = save_last self.save_top_k = save_top_k self.save_weights_only = save_weights_only self.period = period self.epoch_last_check = None self.prefix = prefix self.best_k_models = {} # {filename: monitor} self.kth_best_model_path = '' self.best_model_score = 0 self.best_model_path = '' self.save_function = None torch_inf = torch.tensor(np.Inf) mode_dict = { 'min': (torch_inf, 'min'), 'max': (-torch_inf, 'max'), 'auto': (-torch_inf, 'max') if 'acc' in self.monitor or self.monitor.startswith('fmeasure') else (torch_inf, 'min'), } if mode not in mode_dict: rank_zero_warn(f'ModelCheckpoint mode {mode} is unknown, ' f'fallback to auto mode.', RuntimeWarning) mode = 'auto' self.kth_value, self.mode = mode_dict[mode] @property def best(self): rank_zero_warn("Attribute `best` has been renamed to `best_model_score` since v0.8.0" " and will be removed in v0.10.0", DeprecationWarning) return self.best_model_score @property def kth_best_model(self): rank_zero_warn("Attribute `kth_best_model` has been renamed to `kth_best_model_path` since v0.8.0" " and will be removed in v0.10.0", DeprecationWarning) return self.kth_best_model_path def _del_model(self, filepath): if os.path.isfile(filepath): os.remove(filepath) def _save_model(self, filepath): # make paths os.makedirs(os.path.dirname(filepath), exist_ok=True) # delegate the saving to the model if self.save_function is not None: self.save_function(filepath, self.save_weights_only) else: raise ValueError(".save_function() not set") def check_monitor_top_k(self, current): less_than_k_models = len(self.best_k_models) < self.save_top_k if less_than_k_models: return True if not isinstance(current, torch.Tensor): rank_zero_warn( f'{current} is supposed to be a `torch.Tensor`. Saving checkpoint may not work correctly.' f' HINT: check the value of {self.monitor} in your validation loop', RuntimeWarning ) current = torch.tensor(current) monitor_op = { "min": torch.lt, "max": torch.gt, }[self.mode] return monitor_op(current, self.best_k_models[self.kth_best_model_path]) def format_checkpoint_name(self, epoch, metrics, ver=None): """Generate a filename according to the defined template. Example:: >>> tmpdir = os.path.dirname(__file__) >>> ckpt = ModelCheckpoint(os.path.join(tmpdir, '{epoch}')) >>> os.path.basename(ckpt.format_checkpoint_name(0, {})) 'epoch=0.ckpt' >>> ckpt = ModelCheckpoint(os.path.join(tmpdir, '{epoch:03d}')) >>> os.path.basename(ckpt.format_checkpoint_name(5, {})) 'epoch=005.ckpt' >>> ckpt = ModelCheckpoint(os.path.join(tmpdir, '{epoch}-{val_loss:.2f}')) >>> os.path.basename(ckpt.format_checkpoint_name(2, dict(val_loss=0.123456))) 'epoch=2-val_loss=0.12.ckpt' >>> ckpt = ModelCheckpoint(os.path.join(tmpdir, '{missing:d}')) >>> os.path.basename(ckpt.format_checkpoint_name(0, {})) 'missing=0.ckpt' """ # check if user passed in keys to the string groups = re.findall(r'(\{.*?)[:\}]', self.filename) if len(groups) == 0: # default name filename = f'{self.prefix}_ckpt_epoch_{epoch}' else: metrics['epoch'] = epoch filename = self.filename for tmp in groups: name = tmp[1:] filename = filename.replace(tmp, name + '={' + name) if name not in metrics: metrics[name] = 0 filename = filename.format(**metrics) str_ver = f'_v{ver}' if ver is not None else '' filepath = os.path.join(self.dirpath, self.prefix + filename + str_ver + '.ckpt') return filepath @rank_zero_only def on_train_start(self, trainer, pl_module): """ Determine model checkpoint save directory at runtime. References attributes from the Trainer's logger to determine where to save checkpoints. """ if self.dirpath is not None: return # short circuit self.filename = '{epoch}' if trainer.logger is not None: # weights_save_path overrides anything save_dir = (getattr(trainer, 'weights_save_path', None) or getattr(trainer.logger, 'save_dir', None) or trainer.default_root_dir) version = trainer.logger.version if isinstance( trainer.logger.version, str) else f'version_{trainer.logger.version}' ckpt_path = os.path.join( save_dir, trainer.logger.name, version, "checkpoints" ) else: ckpt_path = os.path.join(trainer.default_root_dir, "checkpoints") self.dirpath = ckpt_path assert trainer.global_rank == 0, 'tried to make a checkpoint from non global_rank=0' os.makedirs(self.dirpath, exist_ok=True) trainer.ckpt_path = ckpt_path trainer.weights_save_path = ckpt_path @rank_zero_only def on_validation_end(self, trainer, pl_module): # only run on main process if trainer.global_rank != 0: return metrics = trainer.callback_metrics epoch = trainer.current_epoch if self.save_top_k == 0: # no models are saved return if self.epoch_last_check is not None and (epoch - self.epoch_last_check) < self.period: # skipping in this term return self.epoch_last_check = epoch if self.save_last: filepath = os.path.join(self.dirpath, self.prefix + 'last.ckpt') self._save_model(filepath) filepath = self.format_checkpoint_name(epoch, metrics) version_cnt = 0 while os.path.isfile(filepath): filepath = self.format_checkpoint_name(epoch, metrics, ver=version_cnt) # this epoch called before version_cnt += 1 if self.save_top_k != -1: current = metrics.get(self.monitor) if not isinstance(current, torch.Tensor): rank_zero_warn( f'The metric you returned {current} must be a `torch.Tensor` instance, checkpoint not saved' f' HINT: what is the value of {self.monitor} in validation_epoch_end()?', RuntimeWarning ) if current is not None: current = torch.tensor(current) if current is None: rank_zero_warn( f'Can save best model only with {self.monitor} available, skipping.', RuntimeWarning ) elif self.check_monitor_top_k(current): self._do_check_save(filepath, current, epoch) elif self.verbose > 0: log.info(f'\nEpoch {epoch:05d}: {self.monitor} was not in top {self.save_top_k}') else: if self.verbose > 0: log.info(f'\nEpoch {epoch:05d}: saving model to {filepath}') assert trainer.global_rank == 0, 'tried to make a checkpoint from non global_rank=0' self._save_model(filepath) def _do_check_save(self, filepath, current, epoch): # remove kth del_list = [] if len(self.best_k_models) == self.save_top_k and self.save_top_k > 0: delpath = self.kth_best_model_path self.best_k_models.pop(self.kth_best_model_path) del_list.append(delpath) self.best_k_models[filepath] = current if len(self.best_k_models) == self.save_top_k: # monitor dict has reached k elements _op = max if self.mode == 'min' else min self.kth_best_model_path = _op(self.best_k_models, key=self.best_k_models.get) self.kth_value = self.best_k_models[self.kth_best_model_path] _op = min if self.mode == 'min' else max self.best_model_path = _op(self.best_k_models, key=self.best_k_models.get) self.best_model_score = self.best_k_models[self.best_model_path] if self.verbose > 0: log.info( f'\nEpoch {epoch:05d}: {self.monitor} reached' f' {current:0.5f} (best {self.best_model_score:0.5f}), saving model to' f' {filepath} as top {self.save_top_k}') self._save_model(filepath) for cur_path in del_list: if cur_path != filepath: self._del_model(cur_path)

39.962963

113

0.597205

import os import re import numpy as np from typing import Optional import torch from pytorch_lightning import _logger as log from pytorch_lightning.callbacks.base import Callback from pytorch_lightning.utilities import rank_zero_warn, rank_zero_only class ModelCheckpoint(Callback): def __init__(self, filepath: Optional[str] = None, monitor: str = 'val_loss', verbose: bool = False, save_last: bool = False, save_top_k: int = 1, save_weights_only: bool = False, mode: str = 'auto', period: int = 1, prefix: str = ''): super().__init__() if save_top_k > 0 and filepath is not None and os.path.isdir(filepath) and len(os.listdir(filepath)) > 0: rank_zero_warn( f"Checkpoint directory {filepath} exists and is not empty with save_top_k != 0." "All files in this directory will be deleted when a checkpoint is saved!" ) self._rank = 0 self.monitor = monitor self.verbose = verbose if filepath is None: self.dirpath, self.filename = None, None else: if os.path.isdir(filepath): self.dirpath, self.filename = filepath, '{epoch}' else: filepath = os.path.realpath(filepath) self.dirpath, self.filename = os.path.split(filepath) os.makedirs(self.dirpath, exist_ok=True) self.save_last = save_last self.save_top_k = save_top_k self.save_weights_only = save_weights_only self.period = period self.epoch_last_check = None self.prefix = prefix self.best_k_models = {} self.kth_best_model_path = '' self.best_model_score = 0 self.best_model_path = '' self.save_function = None torch_inf = torch.tensor(np.Inf) mode_dict = { 'min': (torch_inf, 'min'), 'max': (-torch_inf, 'max'), 'auto': (-torch_inf, 'max') if 'acc' in self.monitor or self.monitor.startswith('fmeasure') else (torch_inf, 'min'), } if mode not in mode_dict: rank_zero_warn(f'ModelCheckpoint mode {mode} is unknown, ' f'fallback to auto mode.', RuntimeWarning) mode = 'auto' self.kth_value, self.mode = mode_dict[mode] @property def best(self): rank_zero_warn("Attribute `best` has been renamed to `best_model_score` since v0.8.0" " and will be removed in v0.10.0", DeprecationWarning) return self.best_model_score @property def kth_best_model(self): rank_zero_warn("Attribute `kth_best_model` has been renamed to `kth_best_model_path` since v0.8.0" " and will be removed in v0.10.0", DeprecationWarning) return self.kth_best_model_path def _del_model(self, filepath): if os.path.isfile(filepath): os.remove(filepath) def _save_model(self, filepath): os.makedirs(os.path.dirname(filepath), exist_ok=True) if self.save_function is not None: self.save_function(filepath, self.save_weights_only) else: raise ValueError(".save_function() not set") def check_monitor_top_k(self, current): less_than_k_models = len(self.best_k_models) < self.save_top_k if less_than_k_models: return True if not isinstance(current, torch.Tensor): rank_zero_warn( f'{current} is supposed to be a `torch.Tensor`. Saving checkpoint may not work correctly.' f' HINT: check the value of {self.monitor} in your validation loop', RuntimeWarning ) current = torch.tensor(current) monitor_op = { "min": torch.lt, "max": torch.gt, }[self.mode] return monitor_op(current, self.best_k_models[self.kth_best_model_path]) def format_checkpoint_name(self, epoch, metrics, ver=None): groups = re.findall(r'(\{.*?)[:\}]', self.filename) if len(groups) == 0: filename = f'{self.prefix}_ckpt_epoch_{epoch}' else: metrics['epoch'] = epoch filename = self.filename for tmp in groups: name = tmp[1:] filename = filename.replace(tmp, name + '={' + name) if name not in metrics: metrics[name] = 0 filename = filename.format(**metrics) str_ver = f'_v{ver}' if ver is not None else '' filepath = os.path.join(self.dirpath, self.prefix + filename + str_ver + '.ckpt') return filepath @rank_zero_only def on_train_start(self, trainer, pl_module): if self.dirpath is not None: return self.filename = '{epoch}' if trainer.logger is not None: save_dir = (getattr(trainer, 'weights_save_path', None) or getattr(trainer.logger, 'save_dir', None) or trainer.default_root_dir) version = trainer.logger.version if isinstance( trainer.logger.version, str) else f'version_{trainer.logger.version}' ckpt_path = os.path.join( save_dir, trainer.logger.name, version, "checkpoints" ) else: ckpt_path = os.path.join(trainer.default_root_dir, "checkpoints") self.dirpath = ckpt_path assert trainer.global_rank == 0, 'tried to make a checkpoint from non global_rank=0' os.makedirs(self.dirpath, exist_ok=True) trainer.ckpt_path = ckpt_path trainer.weights_save_path = ckpt_path @rank_zero_only def on_validation_end(self, trainer, pl_module): if trainer.global_rank != 0: return metrics = trainer.callback_metrics epoch = trainer.current_epoch if self.save_top_k == 0: return if self.epoch_last_check is not None and (epoch - self.epoch_last_check) < self.period: return self.epoch_last_check = epoch if self.save_last: filepath = os.path.join(self.dirpath, self.prefix + 'last.ckpt') self._save_model(filepath) filepath = self.format_checkpoint_name(epoch, metrics) version_cnt = 0 while os.path.isfile(filepath): filepath = self.format_checkpoint_name(epoch, metrics, ver=version_cnt) version_cnt += 1 if self.save_top_k != -1: current = metrics.get(self.monitor) if not isinstance(current, torch.Tensor): rank_zero_warn( f'The metric you returned {current} must be a `torch.Tensor` instance, checkpoint not saved' f' HINT: what is the value of {self.monitor} in validation_epoch_end()?', RuntimeWarning ) if current is not None: current = torch.tensor(current) if current is None: rank_zero_warn( f'Can save best model only with {self.monitor} available, skipping.', RuntimeWarning ) elif self.check_monitor_top_k(current): self._do_check_save(filepath, current, epoch) elif self.verbose > 0: log.info(f'\nEpoch {epoch:05d}: {self.monitor} was not in top {self.save_top_k}') else: if self.verbose > 0: log.info(f'\nEpoch {epoch:05d}: saving model to {filepath}') assert trainer.global_rank == 0, 'tried to make a checkpoint from non global_rank=0' self._save_model(filepath) def _do_check_save(self, filepath, current, epoch): del_list = [] if len(self.best_k_models) == self.save_top_k and self.save_top_k > 0: delpath = self.kth_best_model_path self.best_k_models.pop(self.kth_best_model_path) del_list.append(delpath) self.best_k_models[filepath] = current if len(self.best_k_models) == self.save_top_k: _op = max if self.mode == 'min' else min self.kth_best_model_path = _op(self.best_k_models, key=self.best_k_models.get) self.kth_value = self.best_k_models[self.kth_best_model_path] _op = min if self.mode == 'min' else max self.best_model_path = _op(self.best_k_models, key=self.best_k_models.get) self.best_model_score = self.best_k_models[self.best_model_path] if self.verbose > 0: log.info( f'\nEpoch {epoch:05d}: {self.monitor} reached' f' {current:0.5f} (best {self.best_model_score:0.5f}), saving model to' f' {filepath} as top {self.save_top_k}') self._save_model(filepath) for cur_path in del_list: if cur_path != filepath: self._del_model(cur_path)

true

f70d8e6ddc0e24af18d11f98db6e85e6d24faab2

7,862

py

Python

code/invivo/diffusion/02_analysis/dipy_atlas_target.py

sitek/subcortical-auditory-atlas

8218140c457ab97a6d897eb26aae4d6240596033

[ "BSD-3-Clause" ]

3

2019-02-27T19:17:52.000Z

2019-03-28T06:24:52.000Z

code/invivo/diffusion/02_analysis/dipy_atlas_target.py

sitek/subcortical-auditory-atlas

8218140c457ab97a6d897eb26aae4d6240596033

[ "BSD-3-Clause" ]

2

2021-04-28T22:55:14.000Z

2021-09-09T13:14:14.000Z

code/invivo/diffusion/02_analysis/dipy_atlas_target.py

sitek/subcortical-auditory-atlas

8218140c457ab97a6d897eb26aae4d6240596033

[ "BSD-3-Clause" ]

3

2019-08-19T14:22:54.000Z

2021-01-21T08:31:50.000Z

''' After creating tractography streamlines with dipy_csd.py, this workflow takes an atlas file and finds connections between each region in the atlas KRS 2018.05.04 ''' from nipype import config config.set('execution', 'remove_unnecessary_outputs', 'false') config.set('execution', 'crashfile_format', 'txt') from nipype import Node, Function, Workflow, IdentityInterface, MapNode from nipype.interfaces.io import SelectFiles, DataSink import os from glob import glob # which data sampling? also used for naming out_prefix = 'dipy_csd' atlas_type = 'func-atlas_shift_vox-4_ax-1' proj_dir = os.path.abspath('/om2/user/ksitek/maastricht/diffusion_faruk/') data_dir = os.path.join(proj_dir, 'data/01_diff_preprocessed') out_base = os.path.join(proj_dir, 'analysis/') out_dir = os.path.join(out_base, '%s_%s/'%(out_prefix, atlas_type)) if not os.path.exists(out_dir): os.mkdir(out_dir) work_dir = os.path.abspath('/om2/scratch/ksitek/%s_%s_0114/'%(out_prefix, atlas_type)) #sids = ['S02'] sids = ['S%02d' %s for s in range(1,12)] roi_names = ['LH_CN', 'LH_SOC', 'LH_IC', 'LH_MGB', 'RH_CN', 'RH_SOC', 'RH_IC', 'RH_MGB'] rois = list(range(len(roi_names))) ''' roi_dir = os.path.join(proj_dir, 'analysis/roi_diff/') subj_rois = {} for subj in sids: subj_rois[subj] = sorted(glob('%s/%s/%s_roi*_2diff.nii.gz'%(roi_dir, subj, subj))) print(subj_rois) ''' roi_dir = os.path.join(proj_dir, 'analysis/roi_diff_shift/') subj_rois = {} for subj in sids: subj_rois[subj] = sorted(glob('%s/%s/%s_roi*_2diff_shift_vox-4_ax-1.nii.gz'%(roi_dir, subj, subj))) print(subj_rois) # create the nipype workflow wf = Workflow(name='connectivity') wf.config['execution']['crashfile_format'] = 'txt' # define inputs to the workflow infosource = Node(IdentityInterface(fields=['subject_id', 'roi']), name='infosource') infosource.iterables = [('subject_id', list(subj_rois.keys())), ('roi', rois)] # grab data #templates = {'trk': 'analysis/mrtrix/{subject_id}/tracks.trk'} templates = {'trk': 'analysis/fathresh-0.5/{subject_id}/recon/{subject_id}_csd_streamline.trk'} grabber = Node(SelectFiles(templates), name='grabber') grabber.inputs.base_directory = proj_dir grabber.inputs.sort_filelist = True wf.connect(infosource, 'subject_id', grabber, 'subject_id') ''' define ROI mask files ''' # get subject-specific list of ROI filenames: def rois_fetcher(subj_rois, subj): return subj_rois[subj], subj fetch_rois = Node(Function(input_names=['subj_rois', 'subj'], output_names=['target_roi_filenames', 'subj'], function=rois_fetcher), name='fetch_rois') fetch_rois.inputs.subj_rois = subj_rois wf.connect(infosource, 'subject_id', fetch_rois, 'subj') # get single ROI filename for a specific subject: def roi_fetcher(subj_rois, subj, roi_idx): return subj_rois[subj][roi_idx], roi_idx fetch_roi = Node(Function(input_names=['subj_rois', 'subj', 'roi_idx'], output_names=['seed_roi', 'roi_idx'], function=roi_fetcher), name='fetch_roi') fetch_roi.inputs.subj_rois = subj_rois wf.connect(fetch_rois, 'subj', fetch_roi, 'subj') wf.connect(infosource, 'roi', fetch_roi, 'roi_idx') ''' streamline filtering ''' # filter streamlines by seed region of interest def sl_filter(streamlines, target_mask): from dipy.tracking.utils import target #from nilearn.image import resample_img import numpy as np import os import nibabel as nib trk_file = nib.streamlines.load(streamlines) streams = trk_file.streamlines hdr = trk_file.header # resample mask to resolution of input data & get data #target_resamp = resample_img(target_mask, affine) target_mask_img = nib.load(target_mask) affine = target_mask_img.affine target_mask_bool = np.zeros(target_mask_img.get_data().shape) target_mask_bool[target_mask_img.get_data().round()>0]=1 # rounding is key! target_sl_generator = target(streams, target_mask_bool, affine, include=True) target_streams = list(target_sl_generator) # create new filtered streamlines .trk file tractogram = nib.streamlines.Tractogram(target_streams) tractogram.affine_to_rasmm = np.eye(4) trk_file = nib.streamlines.TrkFile(tractogram, header=hdr) # get the filename import re label = re.search(r'(?<=Fix_)\w+',target_mask).group(0)[:-6] # save streamlines to filename target_streamlines = os.path.abspath('target_streamlines_region_%s.trk'%label) nib.streamlines.save(trk_file, target_streamlines) return target_streamlines, target_mask, affine, label filter_streamlines = Node(Function(input_names = ['streamlines', 'target_mask'], output_names = ['target_streamlines', 'target_mask', 'affine', 'seed_label'], function = sl_filter), name = 'filter_streamlines') filter_streamlines.inputs.roi_names = roi_names wf.connect(grabber, 'trk', filter_streamlines, 'streamlines') wf.connect(fetch_roi, 'seed_roi', filter_streamlines, 'target_mask') # filter streamlines by target ROI (for each seed ROI) def sl_filter_target(streamlines, target_mask, affine, seed_label): from dipy.tracking.utils import target from nilearn.image import resample_img import numpy as np import os import nibabel as nib trk_file = nib.streamlines.load(streamlines) streams = trk_file.streamlines hdr = trk_file.header # resample mask to resolution of input data & get data #target_resamp = resample_img(target_mask, affine) target_mask_img = nib.load(target_mask) affine = target_mask_img.affine target_mask_bool = np.zeros(target_mask_img.get_data().shape) target_mask_bool[target_mask_img.get_data().round()>0]=1 # rounding is key! target_sl_generator = target(streams, target_mask_bool, affine, include=True) target_streams = list(target_sl_generator) # create new filtered streamlines .trk file tractogram = nib.streamlines.Tractogram(target_streams) tractogram.affine_to_rasmm = np.eye(4) trk_file = nib.streamlines.TrkFile(tractogram, header=hdr) # get the filename import re label = re.search(r'(?<=Fix_)\w+',target_mask).group(0)[:-6] # save streamlines to filename target_streamlines = os.path.abspath('target_streamlines_seed-%s_target-%s.trk'%(seed_label, label)) nib.streamlines.save(trk_file, target_streamlines) return target_streamlines filter_streamlines_target = MapNode(Function(input_names = ['streamlines', 'target_mask', 'affine', 'seed_label'], output_names = ['target_streamlines'], function = sl_filter_target), iterfield = ['target_mask'], name = 'filter_streamlines_target') wf.connect(fetch_rois, 'target_roi_filenames', filter_streamlines_target, 'target_mask') wf.connect(filter_streamlines, 'target_streamlines', filter_streamlines_target, 'streamlines') wf.connect(filter_streamlines, 'affine', filter_streamlines_target, 'affine') wf.connect(filter_streamlines, 'seed_label', filter_streamlines_target, 'seed_label') ''' workflow ''' # create the output data sink ds = Node(DataSink(parameterization=False), name='sinker') ds.inputs.base_directory = out_dir ds.plugin_args = {'overwrite': True} wf.connect(infosource, 'subject_id', ds, 'container') wf.connect(filter_streamlines_target, 'target_streamlines', ds, 'target_streamlines') # definte the working directory and run the workflow wf.base_dir = work_dir wf.run(plugin='MultiProc')

38.729064

104

0.69537

from nipype import config config.set('execution', 'remove_unnecessary_outputs', 'false') config.set('execution', 'crashfile_format', 'txt') from nipype import Node, Function, Workflow, IdentityInterface, MapNode from nipype.interfaces.io import SelectFiles, DataSink import os from glob import glob out_prefix = 'dipy_csd' atlas_type = 'func-atlas_shift_vox-4_ax-1' proj_dir = os.path.abspath('/om2/user/ksitek/maastricht/diffusion_faruk/') data_dir = os.path.join(proj_dir, 'data/01_diff_preprocessed') out_base = os.path.join(proj_dir, 'analysis/') out_dir = os.path.join(out_base, '%s_%s/'%(out_prefix, atlas_type)) if not os.path.exists(out_dir): os.mkdir(out_dir) work_dir = os.path.abspath('/om2/scratch/ksitek/%s_%s_0114/'%(out_prefix, atlas_type)) sids = ['S%02d' %s for s in range(1,12)] roi_names = ['LH_CN', 'LH_SOC', 'LH_IC', 'LH_MGB', 'RH_CN', 'RH_SOC', 'RH_IC', 'RH_MGB'] rois = list(range(len(roi_names))) roi_dir = os.path.join(proj_dir, 'analysis/roi_diff_shift/') subj_rois = {} for subj in sids: subj_rois[subj] = sorted(glob('%s/%s/%s_roi*_2diff_shift_vox-4_ax-1.nii.gz'%(roi_dir, subj, subj))) print(subj_rois) wf = Workflow(name='connectivity') wf.config['execution']['crashfile_format'] = 'txt' infosource = Node(IdentityInterface(fields=['subject_id', 'roi']), name='infosource') infosource.iterables = [('subject_id', list(subj_rois.keys())), ('roi', rois)] templates = {'trk': 'analysis/fathresh-0.5/{subject_id}/recon/{subject_id}_csd_streamline.trk'} grabber = Node(SelectFiles(templates), name='grabber') grabber.inputs.base_directory = proj_dir grabber.inputs.sort_filelist = True wf.connect(infosource, 'subject_id', grabber, 'subject_id') def rois_fetcher(subj_rois, subj): return subj_rois[subj], subj fetch_rois = Node(Function(input_names=['subj_rois', 'subj'], output_names=['target_roi_filenames', 'subj'], function=rois_fetcher), name='fetch_rois') fetch_rois.inputs.subj_rois = subj_rois wf.connect(infosource, 'subject_id', fetch_rois, 'subj') def roi_fetcher(subj_rois, subj, roi_idx): return subj_rois[subj][roi_idx], roi_idx fetch_roi = Node(Function(input_names=['subj_rois', 'subj', 'roi_idx'], output_names=['seed_roi', 'roi_idx'], function=roi_fetcher), name='fetch_roi') fetch_roi.inputs.subj_rois = subj_rois wf.connect(fetch_rois, 'subj', fetch_roi, 'subj') wf.connect(infosource, 'roi', fetch_roi, 'roi_idx') def sl_filter(streamlines, target_mask): from dipy.tracking.utils import target import numpy as np import os import nibabel as nib trk_file = nib.streamlines.load(streamlines) streams = trk_file.streamlines hdr = trk_file.header target_mask_img = nib.load(target_mask) affine = target_mask_img.affine target_mask_bool = np.zeros(target_mask_img.get_data().shape) target_mask_bool[target_mask_img.get_data().round()>0]=1 target_sl_generator = target(streams, target_mask_bool, affine, include=True) target_streams = list(target_sl_generator) tractogram = nib.streamlines.Tractogram(target_streams) tractogram.affine_to_rasmm = np.eye(4) trk_file = nib.streamlines.TrkFile(tractogram, header=hdr) import re label = re.search(r'(?<=Fix_)\w+',target_mask).group(0)[:-6] target_streamlines = os.path.abspath('target_streamlines_region_%s.trk'%label) nib.streamlines.save(trk_file, target_streamlines) return target_streamlines, target_mask, affine, label filter_streamlines = Node(Function(input_names = ['streamlines', 'target_mask'], output_names = ['target_streamlines', 'target_mask', 'affine', 'seed_label'], function = sl_filter), name = 'filter_streamlines') filter_streamlines.inputs.roi_names = roi_names wf.connect(grabber, 'trk', filter_streamlines, 'streamlines') wf.connect(fetch_roi, 'seed_roi', filter_streamlines, 'target_mask') def sl_filter_target(streamlines, target_mask, affine, seed_label): from dipy.tracking.utils import target from nilearn.image import resample_img import numpy as np import os import nibabel as nib trk_file = nib.streamlines.load(streamlines) streams = trk_file.streamlines hdr = trk_file.header target_mask_img = nib.load(target_mask) affine = target_mask_img.affine target_mask_bool = np.zeros(target_mask_img.get_data().shape) target_mask_bool[target_mask_img.get_data().round()>0]=1 target_sl_generator = target(streams, target_mask_bool, affine, include=True) target_streams = list(target_sl_generator) tractogram = nib.streamlines.Tractogram(target_streams) tractogram.affine_to_rasmm = np.eye(4) trk_file = nib.streamlines.TrkFile(tractogram, header=hdr) import re label = re.search(r'(?<=Fix_)\w+',target_mask).group(0)[:-6] target_streamlines = os.path.abspath('target_streamlines_seed-%s_target-%s.trk'%(seed_label, label)) nib.streamlines.save(trk_file, target_streamlines) return target_streamlines filter_streamlines_target = MapNode(Function(input_names = ['streamlines', 'target_mask', 'affine', 'seed_label'], output_names = ['target_streamlines'], function = sl_filter_target), iterfield = ['target_mask'], name = 'filter_streamlines_target') wf.connect(fetch_rois, 'target_roi_filenames', filter_streamlines_target, 'target_mask') wf.connect(filter_streamlines, 'target_streamlines', filter_streamlines_target, 'streamlines') wf.connect(filter_streamlines, 'affine', filter_streamlines_target, 'affine') wf.connect(filter_streamlines, 'seed_label', filter_streamlines_target, 'seed_label') ds = Node(DataSink(parameterization=False), name='sinker') ds.inputs.base_directory = out_dir ds.plugin_args = {'overwrite': True} wf.connect(infosource, 'subject_id', ds, 'container') wf.connect(filter_streamlines_target, 'target_streamlines', ds, 'target_streamlines') wf.base_dir = work_dir wf.run(plugin='MultiProc')

true

f70d8e8ea5008eddd8e7aa1c216f2f3abe2fcd32

1,815

py

Python

torch_geometric/graphgym/__init__.py

NucciTheBoss/pytorch_geometric

e220a2c08fa1b2f1672d616c22eac2a67b5c8967

[ "MIT" ]

2,350

2021-09-12T08:32:50.000Z

2022-03-31T18:09:36.000Z

torch_geometric/graphgym/__init__.py

NucciTheBoss/pytorch_geometric

e220a2c08fa1b2f1672d616c22eac2a67b5c8967

[ "MIT" ]

588

2021-09-12T08:49:08.000Z

2022-03-31T21:02:13.000Z

torch_geometric/graphgym/__init__.py

NucciTheBoss/pytorch_geometric

e220a2c08fa1b2f1672d616c22eac2a67b5c8967

[ "MIT" ]

505

2021-09-13T13:13:32.000Z

2022-03-31T15:54:00.000Z

from .contrib import * # noqa from .models import * # noqa from .utils import * # noqa from .checkpoint import load_ckpt, save_ckpt, remove_ckpt, clean_ckpt from .cmd_args import parse_args from .config import (cfg, set_cfg, load_cfg, dump_cfg, set_run_dir, set_out_dir, get_fname) from .init import init_weights from .loader import create_loader from .logger import set_printing, create_logger from .loss import compute_loss from .model_builder import create_model from .optim import create_optimizer, create_scheduler from .train import train from .register import (register_base, register_act, register_node_encoder, register_edge_encoder, register_stage, register_head, register_layer, register_pooling, register_network, register_config, register_dataset, register_loader, register_optimizer, register_scheduler, register_loss, register_train, register_metric) __all__ = classes = [ 'load_ckpt', 'save_ckpt', 'remove_ckpt', 'clean_ckpt', 'parse_args', 'cfg', 'set_cfg', 'load_cfg', 'dump_cfg', 'set_run_dir', 'set_out_dir', 'get_fname', 'init_weights', 'create_loader', 'set_printing', 'create_logger', 'compute_loss', 'create_model', 'create_optimizer', 'create_scheduler', 'train', 'register_base', 'register_act', 'register_node_encoder', 'register_edge_encoder', 'register_stage', 'register_head', 'register_layer', 'register_pooling', 'register_network', 'register_config', 'register_dataset', 'register_loader', 'register_optimizer', 'register_scheduler', 'register_loss', 'register_train', 'register_metric', ]

29.274194

77

0.672727

from .contrib import * from .models import * from .utils import * from .checkpoint import load_ckpt, save_ckpt, remove_ckpt, clean_ckpt from .cmd_args import parse_args from .config import (cfg, set_cfg, load_cfg, dump_cfg, set_run_dir, set_out_dir, get_fname) from .init import init_weights from .loader import create_loader from .logger import set_printing, create_logger from .loss import compute_loss from .model_builder import create_model from .optim import create_optimizer, create_scheduler from .train import train from .register import (register_base, register_act, register_node_encoder, register_edge_encoder, register_stage, register_head, register_layer, register_pooling, register_network, register_config, register_dataset, register_loader, register_optimizer, register_scheduler, register_loss, register_train, register_metric) __all__ = classes = [ 'load_ckpt', 'save_ckpt', 'remove_ckpt', 'clean_ckpt', 'parse_args', 'cfg', 'set_cfg', 'load_cfg', 'dump_cfg', 'set_run_dir', 'set_out_dir', 'get_fname', 'init_weights', 'create_loader', 'set_printing', 'create_logger', 'compute_loss', 'create_model', 'create_optimizer', 'create_scheduler', 'train', 'register_base', 'register_act', 'register_node_encoder', 'register_edge_encoder', 'register_stage', 'register_head', 'register_layer', 'register_pooling', 'register_network', 'register_config', 'register_dataset', 'register_loader', 'register_optimizer', 'register_scheduler', 'register_loss', 'register_train', 'register_metric', ]

true

f70d8fa4f84560af2015c5a1b3a2f184e9248d79

478

py

Python

env/Lib/site-packages/pylint/reporters/collecting_reporter.py

aammjian/cotton

f72b814f795f79a4054688e465c8b0ae5560f3b7

[ "Apache-2.0" ]

33

2020-10-05T01:04:55.000Z

2021-06-24T01:52:31.000Z

env/Lib/site-packages/pylint/reporters/collecting_reporter.py

aammjian/cotton

f72b814f795f79a4054688e465c8b0ae5560f3b7

[ "Apache-2.0" ]

14

2020-10-07T03:15:12.000Z

2021-01-15T11:53:29.000Z

env/Lib/site-packages/pylint/reporters/collecting_reporter.py

aammjian/cotton

f72b814f795f79a4054688e465c8b0ae5560f3b7

[ "Apache-2.0" ]

11

2020-07-31T08:20:43.000Z

2020-08-21T04:08:29.000Z

# Licensed under the GPL: https://www.gnu.org/licenses/old-licenses/gpl-2.0.html # For details: https://github.com/PyCQA/pylint/blob/master/COPYING from pylint.reporters.base_reporter import BaseReporter class CollectingReporter(BaseReporter): """collects messages""" name = "collector" def __init__(self): BaseReporter.__init__(self) self.messages = [] def handle_message(self, msg): self.messages.append(msg) _display = None

23.9

80

0.700837

from pylint.reporters.base_reporter import BaseReporter class CollectingReporter(BaseReporter): name = "collector" def __init__(self): BaseReporter.__init__(self) self.messages = [] def handle_message(self, msg): self.messages.append(msg) _display = None

true

f70d8fd065f47a79a3a5fc37f61875b9851e4b48

995

py

Python

get_infoleg.py

crscardellino/sbwce

da39df54f666dcfa4b893bf3a1d1bfc7c801ad57

[ "MIT" ]

30

2017-05-28T05:54:58.000Z

2022-03-12T10:37:23.000Z

get_infoleg.py

NazaGara/sbwce

aea541d6bbe94d17fddb58e2466ce1d83ffae5cc

[ "MIT" ]

1

2018-01-10T12:36:59.000Z

get_infoleg.py

NazaGara/sbwce

aea541d6bbe94d17fddb58e2466ce1d83ffae5cc

[ "MIT" ]

8

2019-07-02T05:33:28.000Z

2022-03-13T09:16:08.000Z

#!/usr/bin/env python # -*- coding: utf-8 -*- from __future__ import absolute_import, print_function, unicode_literals import os import requests import sys import tarfile from lxml import etree from tqdm import tqdm INFOLEG_URL = 'https://cs.famaf.unc.edu.ar/~ccardellino/resources/mirel/law_text_cleaned.tar.bz2' INFOLEG_TMP = '/tmp/infoleg.tar.bz2' INFOLEG_OUT = '/tmp/law_text_cleaned/' INFOLEG_FIL = './corpora/infoleg/infoleg.txt' os.makedirs(os.path.dirname(INFOLEG_FIL), exist_ok=True) print("Downloading file...", file=sys.stderr) req = requests.get(INFOLEG_URL) with open(INFOLEG_TMP, 'wb') as fh: fh.write(req.content) with tarfile.open(INFOLEG_TMP, 'r') as fi, open(INFOLEG_FIL, 'w') as fo: print("Extracting file...", file=sys.stderr) fi.extractall(path="/tmp") print("Parsing files...", file=sys.stderr) for fname in tqdm(os.listdir(INFOLEG_OUT)): root = etree.parse(INFOLEG_OUT + fname).getroot() print(root.find('text').text, file=fo)

28.428571

97

0.720603

from __future__ import absolute_import, print_function, unicode_literals import os import requests import sys import tarfile from lxml import etree from tqdm import tqdm INFOLEG_URL = 'https://cs.famaf.unc.edu.ar/~ccardellino/resources/mirel/law_text_cleaned.tar.bz2' INFOLEG_TMP = '/tmp/infoleg.tar.bz2' INFOLEG_OUT = '/tmp/law_text_cleaned/' INFOLEG_FIL = './corpora/infoleg/infoleg.txt' os.makedirs(os.path.dirname(INFOLEG_FIL), exist_ok=True) print("Downloading file...", file=sys.stderr) req = requests.get(INFOLEG_URL) with open(INFOLEG_TMP, 'wb') as fh: fh.write(req.content) with tarfile.open(INFOLEG_TMP, 'r') as fi, open(INFOLEG_FIL, 'w') as fo: print("Extracting file...", file=sys.stderr) fi.extractall(path="/tmp") print("Parsing files...", file=sys.stderr) for fname in tqdm(os.listdir(INFOLEG_OUT)): root = etree.parse(INFOLEG_OUT + fname).getroot() print(root.find('text').text, file=fo)

true

f70d9006df1d3358e295c37467a8911a38d78293

1,137

py

Python

setup.py

martok/py-symcircuit

c48b1ad8ae4e496306da0c0a7474b4cd968a629f

[ "MIT" ]

null

setup.py

martok/py-symcircuit

c48b1ad8ae4e496306da0c0a7474b4cd968a629f

[ "MIT" ]

null

setup.py

martok/py-symcircuit

c48b1ad8ae4e496306da0c0a7474b4cd968a629f

[ "MIT" ]

null

#!/usr/bin/env python from setuptools import setup, find_packages setup( name="SymCircuit", version="0.2.0", author="Martok", author_email="martok@martoks-place.de", description="Symbolic electronic circuit analysis", long_description=open("README.md","rt").read(), long_description_content_type="text/markdown", url="https://github.com/martok/py-symcircuit", project_urls={ "Bug Tracker": "https://github.com/martok/py-symcircuit/issues", }, license="MIT", classifiers=[ "Development Status :: 4 - Beta", "License :: OSI Approved :: MIT License", "Operating System :: OS Independent", "Intended Audience :: Science/Research", "Intended Audience :: Developers", "Topic :: Scientific/Engineering :: Mathematics", "Topic :: Scientific/Engineering :: Electronic Design Automation (EDA)", ], packages=find_packages(), python_requires='>=3.6', install_requires=[ "sympy", ], extras_require={ "EE": [ "networkx", "numpy", "mplotkit" ], }, )

28.425

80

0.601583

from setuptools import setup, find_packages setup( name="SymCircuit", version="0.2.0", author="Martok", author_email="martok@martoks-place.de", description="Symbolic electronic circuit analysis", long_description=open("README.md","rt").read(), long_description_content_type="text/markdown", url="https://github.com/martok/py-symcircuit", project_urls={ "Bug Tracker": "https://github.com/martok/py-symcircuit/issues", }, license="MIT", classifiers=[ "Development Status :: 4 - Beta", "License :: OSI Approved :: MIT License", "Operating System :: OS Independent", "Intended Audience :: Science/Research", "Intended Audience :: Developers", "Topic :: Scientific/Engineering :: Mathematics", "Topic :: Scientific/Engineering :: Electronic Design Automation (EDA)", ], packages=find_packages(), python_requires='>=3.6', install_requires=[ "sympy", ], extras_require={ "EE": [ "networkx", "numpy", "mplotkit" ], }, )

true

f70d90d6d3226de3373ba626ee5ba1d83ff5c2ce

229

py

Python

backend/src/hatchling/builders/plugin/hooks.py

daobook/hatch

1cf39ad1a11ce90bc77fb7fdc4b9202433509179

[ "MIT" ]

null

backend/src/hatchling/builders/plugin/hooks.py

daobook/hatch

1cf39ad1a11ce90bc77fb7fdc4b9202433509179

[ "MIT" ]

null

backend/src/hatchling/builders/plugin/hooks.py

daobook/hatch

1cf39ad1a11ce90bc77fb7fdc4b9202433509179

[ "MIT" ]

null

from ...plugin import hookimpl from ..custom import CustomBuilder from ..sdist import SdistBuilder from ..wheel import WheelBuilder @hookimpl def hatch_register_builder(): return [CustomBuilder, SdistBuilder, WheelBuilder]

22.9

54

0.799127

from ...plugin import hookimpl from ..custom import CustomBuilder from ..sdist import SdistBuilder from ..wheel import WheelBuilder @hookimpl def hatch_register_builder(): return [CustomBuilder, SdistBuilder, WheelBuilder]

true

f70d919605a55c19587a7f0cfaa146dd71e5ac23

5,390

py

Python

python/ray/tests/test_multinode_failures.py

jacobowitz/ray

a69f2c7bf759b35fa6573329ec244a60f4d56a2a

[ "Apache-2.0" ]

1

2021-03-13T08:18:36.000Z

python/ray/tests/test_multinode_failures.py

jacobowitz/ray

a69f2c7bf759b35fa6573329ec244a60f4d56a2a

[ "Apache-2.0" ]

null

python/ray/tests/test_multinode_failures.py

jacobowitz/ray

a69f2c7bf759b35fa6573329ec244a60f4d56a2a

[ "Apache-2.0" ]

null

import os import signal import sys import time import pytest import ray import ray.ray_constants as ray_constants from ray._private.cluster_utils import Cluster from ray.test_utils import RayTestTimeoutException, get_other_nodes SIGKILL = signal.SIGKILL if sys.platform != "win32" else signal.SIGTERM @pytest.fixture(params=[(1, 4), (4, 4)]) def ray_start_workers_separate_multinode(request): num_nodes = request.param[0] num_initial_workers = request.param[1] # Start the Ray processes. cluster = Cluster() for _ in range(num_nodes): cluster.add_node(num_cpus=num_initial_workers) ray.init(address=cluster.address) yield num_nodes, num_initial_workers # The code after the yield will run as teardown code. ray.shutdown() cluster.shutdown() def test_worker_failed(ray_start_workers_separate_multinode): num_nodes, num_initial_workers = (ray_start_workers_separate_multinode) @ray.remote def get_pids(): time.sleep(0.25) return os.getpid() start_time = time.time() pids = set() while len(pids) < num_nodes * num_initial_workers: new_pids = ray.get([ get_pids.remote() for _ in range(2 * num_nodes * num_initial_workers) ]) for pid in new_pids: pids.add(pid) if time.time() - start_time > 60: raise RayTestTimeoutException( "Timed out while waiting to get worker PIDs.") @ray.remote def f(x): time.sleep(0.5) return x # Submit more tasks than there are workers so that all workers and # cores are utilized. object_refs = [f.remote(i) for i in range(num_initial_workers * num_nodes)] object_refs += [f.remote(object_ref) for object_ref in object_refs] # Allow the tasks some time to begin executing. time.sleep(0.1) # Kill the workers as the tasks execute. for pid in pids: try: os.kill(pid, SIGKILL) except OSError: # The process may have already exited due to worker capping. pass time.sleep(0.1) # Make sure that we either get the object or we get an appropriate # exception. for object_ref in object_refs: try: ray.get(object_ref) except (ray.exceptions.RayTaskError, ray.exceptions.WorkerCrashedError): pass def _test_component_failed(cluster, component_type): """Kill a component on all worker nodes and check workload succeeds.""" # Submit many tasks with many dependencies. @ray.remote def f(x): # Sleep to make sure that tasks actually fail mid-execution. time.sleep(0.01) return x @ray.remote def g(*xs): # Sleep to make sure that tasks actually fail mid-execution. We # only use it for direct calls because the test already takes a # long time to run with the raylet codepath. time.sleep(0.01) return 1 # Kill the component on all nodes except the head node as the tasks # execute. Do this in a loop while submitting tasks between each # component failure. time.sleep(0.1) worker_nodes = get_other_nodes(cluster) assert len(worker_nodes) > 0 for node in worker_nodes: process = node.all_processes[component_type][0].process # Submit a round of tasks with many dependencies. x = 1 for _ in range(1000): x = f.remote(x) xs = [g.remote(1)] for _ in range(100): xs.append(g.remote(*xs)) xs.append(g.remote(1)) # Kill a component on one of the nodes. process.terminate() time.sleep(1) process.kill() process.wait() assert not process.poll() is None # Make sure that we can still get the objects after the # executing tasks died. ray.get(x) ray.get(xs) def check_components_alive(cluster, component_type, check_component_alive): """Check that a given component type is alive on all worker nodes.""" worker_nodes = get_other_nodes(cluster) assert len(worker_nodes) > 0 for node in worker_nodes: process = node.all_processes[component_type][0].process if check_component_alive: assert process.poll() is None else: print("waiting for " + component_type + " with PID " + str(process.pid) + "to terminate") process.wait() print("done waiting for " + component_type + " with PID " + str(process.pid) + "to terminate") assert not process.poll() is None @pytest.mark.parametrize( "ray_start_cluster", [{ "num_cpus": 8, "num_nodes": 4, "_system_config": { # Raylet codepath is not stable with a shorter timeout. "num_heartbeats_timeout": 10 }, }], indirect=True) def test_raylet_failed(ray_start_cluster): cluster = ray_start_cluster # Kill all raylets on worker nodes. _test_component_failed(cluster, ray_constants.PROCESS_TYPE_RAYLET) # The plasma stores should still be alive on the worker nodes. check_components_alive(cluster, ray_constants.PROCESS_TYPE_PLASMA_STORE, True) if __name__ == "__main__": import pytest sys.exit(pytest.main(["-v", __file__]))

31.520468

79

0.64026

import os import signal import sys import time import pytest import ray import ray.ray_constants as ray_constants from ray._private.cluster_utils import Cluster from ray.test_utils import RayTestTimeoutException, get_other_nodes SIGKILL = signal.SIGKILL if sys.platform != "win32" else signal.SIGTERM @pytest.fixture(params=[(1, 4), (4, 4)]) def ray_start_workers_separate_multinode(request): num_nodes = request.param[0] num_initial_workers = request.param[1] cluster = Cluster() for _ in range(num_nodes): cluster.add_node(num_cpus=num_initial_workers) ray.init(address=cluster.address) yield num_nodes, num_initial_workers ray.shutdown() cluster.shutdown() def test_worker_failed(ray_start_workers_separate_multinode): num_nodes, num_initial_workers = (ray_start_workers_separate_multinode) @ray.remote def get_pids(): time.sleep(0.25) return os.getpid() start_time = time.time() pids = set() while len(pids) < num_nodes * num_initial_workers: new_pids = ray.get([ get_pids.remote() for _ in range(2 * num_nodes * num_initial_workers) ]) for pid in new_pids: pids.add(pid) if time.time() - start_time > 60: raise RayTestTimeoutException( "Timed out while waiting to get worker PIDs.") @ray.remote def f(x): time.sleep(0.5) return x object_refs = [f.remote(i) for i in range(num_initial_workers * num_nodes)] object_refs += [f.remote(object_ref) for object_ref in object_refs] time.sleep(0.1) for pid in pids: try: os.kill(pid, SIGKILL) except OSError: pass time.sleep(0.1) for object_ref in object_refs: try: ray.get(object_ref) except (ray.exceptions.RayTaskError, ray.exceptions.WorkerCrashedError): pass def _test_component_failed(cluster, component_type): @ray.remote def f(x): time.sleep(0.01) return x @ray.remote def g(*xs): time.sleep(0.01) return 1 time.sleep(0.1) worker_nodes = get_other_nodes(cluster) assert len(worker_nodes) > 0 for node in worker_nodes: process = node.all_processes[component_type][0].process x = 1 for _ in range(1000): x = f.remote(x) xs = [g.remote(1)] for _ in range(100): xs.append(g.remote(*xs)) xs.append(g.remote(1)) process.terminate() time.sleep(1) process.kill() process.wait() assert not process.poll() is None ray.get(x) ray.get(xs) def check_components_alive(cluster, component_type, check_component_alive): worker_nodes = get_other_nodes(cluster) assert len(worker_nodes) > 0 for node in worker_nodes: process = node.all_processes[component_type][0].process if check_component_alive: assert process.poll() is None else: print("waiting for " + component_type + " with PID " + str(process.pid) + "to terminate") process.wait() print("done waiting for " + component_type + " with PID " + str(process.pid) + "to terminate") assert not process.poll() is None @pytest.mark.parametrize( "ray_start_cluster", [{ "num_cpus": 8, "num_nodes": 4, "_system_config": { "num_heartbeats_timeout": 10 }, }], indirect=True) def test_raylet_failed(ray_start_cluster): cluster = ray_start_cluster _test_component_failed(cluster, ray_constants.PROCESS_TYPE_RAYLET) check_components_alive(cluster, ray_constants.PROCESS_TYPE_PLASMA_STORE, True) if __name__ == "__main__": import pytest sys.exit(pytest.main(["-v", __file__]))

true

f70d92ad79eb85d982080b22c087b526d599548f

4,699

py

Python

src/websockets/datastructures.py

pushp-garg/websockets

aa93c4ceca90a1798f86b2fc2b110a42f308d721

[ "BSD-3-Clause" ]

3

2021-04-02T08:35:24.000Z

2021-04-02T08:49:47.000Z

src/websockets/datastructures.py

pushp-garg/websockets

aa93c4ceca90a1798f86b2fc2b110a42f308d721

[ "BSD-3-Clause" ]

null

src/websockets/datastructures.py

pushp-garg/websockets

aa93c4ceca90a1798f86b2fc2b110a42f308d721

[ "BSD-3-Clause" ]

2

2021-04-02T08:40:50.000Z

2021-04-02T08:45:23.000Z

""" This module defines a data structure for manipulating HTTP headers. """ from typing import ( Any, Dict, Iterable, Iterator, List, Mapping, MutableMapping, Tuple, Union, ) __all__ = ["Headers", "MultipleValuesError"] class MultipleValuesError(LookupError): """ Exception raised when :class:`Headers` has more than one value for a key. """ def __str__(self) -> str: # Implement the same logic as KeyError_str in Objects/exceptions.c. if len(self.args) == 1: return repr(self.args[0]) return super().__str__() class Headers(MutableMapping[str, str]): """ Efficient data structure for manipulating HTTP headers. A :class:`list` of ``(name, values)`` is inefficient for lookups. A :class:`dict` doesn't suffice because header names are case-insensitive and multiple occurrences of headers with the same name are possible. :class:`Headers` stores HTTP headers in a hybrid data structure to provide efficient insertions and lookups while preserving the original data. In order to account for multiple values with minimal hassle, :class:`Headers` follows this logic: - When getting a header with ``headers[name]``: - if there's no value, :exc:`KeyError` is raised; - if there's exactly one value, it's returned; - if there's more than one value, :exc:`MultipleValuesError` is raised. - When setting a header with ``headers[name] = value``, the value is appended to the list of values for that header. - When deleting a header with ``del headers[name]``, all values for that header are removed (this is slow). Other methods for manipulating headers are consistent with this logic. As long as no header occurs multiple times, :class:`Headers` behaves like :class:`dict`, except keys are lower-cased to provide case-insensitivity. Two methods support support manipulating multiple values explicitly: - :meth:`get_all` returns a list of all values for a header; - :meth:`raw_items` returns an iterator of ``(name, values)`` pairs. """ __slots__ = ["_dict", "_list"] def __init__(self, *args: Any, **kwargs: str) -> None: self._dict: Dict[str, List[str]] = {} self._list: List[Tuple[str, str]] = [] # MutableMapping.update calls __setitem__ for each (name, value) pair. self.update(*args, **kwargs) def __str__(self) -> str: return "".join(f"{key}: {value}\r\n" for key, value in self._list) + "\r\n" def __repr__(self) -> str: return f"{self.__class__.__name__}({self._list!r})" def copy(self) -> "Headers": copy = self.__class__() copy._dict = self._dict.copy() copy._list = self._list.copy() return copy def serialize(self) -> bytes: # Headers only contain ASCII characters. return str(self).encode() # Collection methods def __contains__(self, key: object) -> bool: return isinstance(key, str) and key.lower() in self._dict def __iter__(self) -> Iterator[str]: return iter(self._dict) def __len__(self) -> int: return len(self._dict) # MutableMapping methods def __getitem__(self, key: str) -> str: value = self._dict[key.lower()] if len(value) == 1: return value[0] else: raise MultipleValuesError(key) def __setitem__(self, key: str, value: str) -> None: self._dict.setdefault(key.lower(), []).append(value) self._list.append((key, value)) def __delitem__(self, key: str) -> None: key_lower = key.lower() self._dict.__delitem__(key_lower) # This is inefficent. Fortunately deleting HTTP headers is uncommon. self._list = [(k, v) for k, v in self._list if k.lower() != key_lower] def __eq__(self, other: Any) -> bool: if not isinstance(other, Headers): return NotImplemented return self._list == other._list def clear(self) -> None: """ Remove all headers. """ self._dict = {} self._list = [] # Methods for handling multiple values def get_all(self, key: str) -> List[str]: """ Return the (possibly empty) list of all values for a header. :param key: header name """ return self._dict.get(key.lower(), []) def raw_items(self) -> Iterator[Tuple[str, str]]: """ Return an iterator of all values as ``(name, value)`` pairs. """ return iter(self._list) HeadersLike = Union[Headers, Mapping[str, str], Iterable[Tuple[str, str]]]

29.36875

83

0.625239

from typing import ( Any, Dict, Iterable, Iterator, List, Mapping, MutableMapping, Tuple, Union, ) __all__ = ["Headers", "MultipleValuesError"] class MultipleValuesError(LookupError): def __str__(self) -> str: if len(self.args) == 1: return repr(self.args[0]) return super().__str__() class Headers(MutableMapping[str, str]): __slots__ = ["_dict", "_list"] def __init__(self, *args: Any, **kwargs: str) -> None: self._dict: Dict[str, List[str]] = {} self._list: List[Tuple[str, str]] = [] self.update(*args, **kwargs) def __str__(self) -> str: return "".join(f"{key}: {value}\r\n" for key, value in self._list) + "\r\n" def __repr__(self) -> str: return f"{self.__class__.__name__}({self._list!r})" def copy(self) -> "Headers": copy = self.__class__() copy._dict = self._dict.copy() copy._list = self._list.copy() return copy def serialize(self) -> bytes: return str(self).encode() def __contains__(self, key: object) -> bool: return isinstance(key, str) and key.lower() in self._dict def __iter__(self) -> Iterator[str]: return iter(self._dict) def __len__(self) -> int: return len(self._dict) def __getitem__(self, key: str) -> str: value = self._dict[key.lower()] if len(value) == 1: return value[0] else: raise MultipleValuesError(key) def __setitem__(self, key: str, value: str) -> None: self._dict.setdefault(key.lower(), []).append(value) self._list.append((key, value)) def __delitem__(self, key: str) -> None: key_lower = key.lower() self._dict.__delitem__(key_lower) self._list = [(k, v) for k, v in self._list if k.lower() != key_lower] def __eq__(self, other: Any) -> bool: if not isinstance(other, Headers): return NotImplemented return self._list == other._list def clear(self) -> None: self._dict = {} self._list = [] def get_all(self, key: str) -> List[str]: return self._dict.get(key.lower(), []) def raw_items(self) -> Iterator[Tuple[str, str]]: return iter(self._list) HeadersLike = Union[Headers, Mapping[str, str], Iterable[Tuple[str, str]]]

true

f70d92b75a6e4cfc361c5e2dd6d2c9296d030ae6

318

py

Python

__init__.py

TheXu/Inverse_Logistic_Regression_Recommender

7dcba1f240f818488382d4727c2e2c252baea9b8

[ "MIT" ]

null

__init__.py

TheXu/Inverse_Logistic_Regression_Recommender

7dcba1f240f818488382d4727c2e2c252baea9b8

[ "MIT" ]

null

__init__.py

TheXu/Inverse_Logistic_Regression_Recommender

7dcba1f240f818488382d4727c2e2c252baea9b8

[ "MIT" ]

null

# -*- coding: utf-8 -*- """ Inverse Logistic Regression Recommender Created on 2019 @author: Alex Xu <ayx2@case.edu> """ from .predict_feature_values import InverseLogisticRegressionRecommender from .evaluate import validate from .evaluate import _error_metrics_ __all__ = [ 'validate', '_error_metrics_' ]

18.705882

72

0.751572

from .predict_feature_values import InverseLogisticRegressionRecommender from .evaluate import validate from .evaluate import _error_metrics_ __all__ = [ 'validate', '_error_metrics_' ]

true

f70d92d287bb997262dc6ea43cb19d2451852d47

1,799

py

Python

chapter_3/3_6_animal_shelter.py

elishaking/CTCi

6a91fd67e8765e5abef72c5b247f4d5444945438

[ "MIT" ]

1

2020-07-03T09:47:34.000Z

chapter_3/3_6_animal_shelter.py

elishaking/CTCi

6a91fd67e8765e5abef72c5b247f4d5444945438

[ "MIT" ]

null

chapter_3/3_6_animal_shelter.py

elishaking/CTCi

6a91fd67e8765e5abef72c5b247f4d5444945438

[ "MIT" ]

null

import enum from queue import Queue class Animal(enum.Enum): cat = 'cat' dog = 'dog' class AnimalShelter: def __init__(self): self.cats = Queue() self.dogs = Queue() self.pos = 0 # Time complexity: O(1) # Space complexity: O(1) def enqueue(self, animal: Animal): if animal == Animal.cat: self.cats.add([animal, self.pos]) else: self.dogs.add([animal, self.pos]) self.pos += 1 return self # Time complexity: O(1) # Space complexity: O(1) def dequeue(self): if self.dogs.is_empty() and self.cats.is_empty(): raise Exception('no animal in shelter') if self.dogs.is_empty(): return self.cats.remove() if self.cats.is_empty(): return self.dogs.remove() dog_pos = self.dogs.peek()[1] cat_pos = self.cats.peek()[1] if cat_pos < dog_pos: return self.cats.remove() else: return self.dogs.remove() # Time complexity: O(1) # Space complexity: O(1) def dequeueCat(self): if self.cats.is_empty(): raise Exception('no cats in shelter') return self.cats.remove() # Time complexity: O(1) # Space complexity: O(1) def dequeueDog(self): if self.dogs.is_empty(): raise Exception('no dogs in shelter') return self.dogs.remove() def __str__(self): return 'cats: ' + str(self.cats) + '\ndogs: ' + str(self.dogs) if __name__ == "__main__": shelter = AnimalShelter() shelter.enqueue(Animal.cat).enqueue(Animal.dog).enqueue(Animal.cat) print(shelter) print(shelter.dequeue()) print(shelter.dequeue()) print(shelter.dequeue()) # print(shelter.dequeue())

23.671053

71

0.573096

import enum from queue import Queue class Animal(enum.Enum): cat = 'cat' dog = 'dog' class AnimalShelter: def __init__(self): self.cats = Queue() self.dogs = Queue() self.pos = 0 def enqueue(self, animal: Animal): if animal == Animal.cat: self.cats.add([animal, self.pos]) else: self.dogs.add([animal, self.pos]) self.pos += 1 return self def dequeue(self): if self.dogs.is_empty() and self.cats.is_empty(): raise Exception('no animal in shelter') if self.dogs.is_empty(): return self.cats.remove() if self.cats.is_empty(): return self.dogs.remove() dog_pos = self.dogs.peek()[1] cat_pos = self.cats.peek()[1] if cat_pos < dog_pos: return self.cats.remove() else: return self.dogs.remove() def dequeueCat(self): if self.cats.is_empty(): raise Exception('no cats in shelter') return self.cats.remove() def dequeueDog(self): if self.dogs.is_empty(): raise Exception('no dogs in shelter') return self.dogs.remove() def __str__(self): return 'cats: ' + str(self.cats) + '\ndogs: ' + str(self.dogs) if __name__ == "__main__": shelter = AnimalShelter() shelter.enqueue(Animal.cat).enqueue(Animal.dog).enqueue(Animal.cat) print(shelter) print(shelter.dequeue()) print(shelter.dequeue()) print(shelter.dequeue())

true

f70d933e514a7e9af7d35401d59b56c3517a80a8

5,750

py

Python

cleverhans/future/tf2/attacks/fast_gradient_method.py

HaojieYuan/cleverhans

02a5ac27870ad8318c1e6ef3b210467e3500fdd9

[ "MIT" ]

21

2019-06-07T17:05:30.000Z

2022-02-07T03:25:15.000Z

cleverhans/future/tf2/attacks/fast_gradient_method.py

HaojieYuan/cleverhans

02a5ac27870ad8318c1e6ef3b210467e3500fdd9

[ "MIT" ]

null

cleverhans/future/tf2/attacks/fast_gradient_method.py

HaojieYuan/cleverhans

02a5ac27870ad8318c1e6ef3b210467e3500fdd9

[ "MIT" ]

8

2019-06-11T03:06:29.000Z

2022-01-18T04:18:27.000Z

"""The Fast Gradient Method attack.""" import numpy as np import tensorflow as tf def fast_gradient_method(model_fn, x, eps, ord, clip_min=None, clip_max=None, y=None, targeted=False, sanity_checks=False): """ Tensorflow 2.0 implementation of the Fast Gradient Method. :param model_fn: a callable that takes an input tensor and returns the model logits. :param x: input tensor. :param eps: epsilon (input variation parameter); see https://arxiv.org/abs/1412.6572. :param ord: Order of the norm (mimics NumPy). Possible values: np.inf, 1 or 2. :param clip_min: (optional) float. Minimum float value for adversarial example components. :param clip_max: (optional) float. Maximum float value for adversarial example components. :param y: (optional) Tensor with true labels. If targeted is true, then provide the target label. Otherwise, only provide this parameter if you'd like to use true labels when crafting adversarial samples. Otherwise, model predictions are used as labels to avoid the "label leaking" effect (explained in this paper: https://arxiv.org/abs/1611.01236). Default is None. :param targeted: (optional) bool. Is the attack targeted or untargeted? Untargeted, the default, will try to make the label incorrect. Targeted will instead try to move in the direction of being more like y. :param sanity_checks: bool, if True, include asserts (Turn them off to use less runtime / memory or for unit tests that intentionally pass strange input) :return: a tensor for the adversarial example """ if ord not in [np.inf, 1, 2]: raise ValueError("Norm order must be either np.inf, 1, or 2.") asserts = [] # If a data range was specified, check that the input was in that range if clip_min is not None: asserts.append(tf.math.greater_equal(x, clip_min)) if clip_max is not None: asserts.append(tf.math.less_equal(x, clip_max)) if y is None: # Using model predictions as ground truth to avoid label leaking y = tf.argmax(model_fn(x), 1) grad = compute_gradient(model_fn, x, y, targeted) optimal_perturbation = optimize_linear(grad, eps, ord) # Add perturbation to original example to obtain adversarial example adv_x = x + optimal_perturbation # If clipping is needed, reset all values outside of [clip_min, clip_max] if (clip_min is not None) or (clip_max is not None): # We don't currently support one-sided clipping assert clip_min is not None and clip_max is not None adv_x = tf.clip_by_value(adv_x, clip_min, clip_max) if sanity_checks: assert np.all(asserts) return adv_x # Due to performance reasons, this function is wrapped inside of tf.function decorator. # Not using the decorator here, or letting the user wrap the attack in tf.function is way # slower on Tensorflow 2.0.0-alpha0. @tf.function def compute_gradient(model_fn, x, y, targeted): """ Computes the gradient of the loss with respect to the input tensor. :param model_fn: a callable that takes an input tensor and returns the model logits. :param x: input tensor :param y: Tensor with true labels. If targeted is true, then provide the target label. :param targeted: bool. Is the attack targeted or untargeted? Untargeted, the default, will try to make the label incorrect. Targeted will instead try to move in the direction of being more like y. :return: A tensor containing the gradient of the loss with respect to the input tensor. """ loss_fn = tf.nn.sparse_softmax_cross_entropy_with_logits with tf.GradientTape() as g: g.watch(x) # Compute loss loss = loss_fn(labels=y, logits=model_fn(x)) if targeted: # attack is targeted, minimize loss of target label rather than maximize loss of correct label loss = -loss # Define gradient of loss wrt input grad = g.gradient(loss, x) return grad def optimize_linear(grad, eps, ord=np.inf): """ Solves for the optimal input to a linear function under a norm constraint. Optimal_perturbation = argmax_{eta, ||eta||_{ord} < eps} dot(eta, grad) :param grad: tf tensor containing a batch of gradients :param eps: float scalar specifying size of constraint region :param ord: int specifying order of norm :returns: tf tensor containing optimal perturbation """ # Convert the iterator returned by `range` into a list. axis = list(range(1, len(grad.get_shape()))) avoid_zero_div = 1e-12 if ord == np.inf: # Take sign of gradient optimal_perturbation = tf.sign(grad) # The following line should not change the numerical results. It applies only because # `optimal_perturbation` is the output of a `sign` op, which has zero derivative anyway. # It should not be applied for the other norms, where the perturbation has a non-zero derivative. optimal_perturbation = tf.stop_gradient(optimal_perturbation) elif ord == 1: abs_grad = tf.abs(grad) sign = tf.sign(grad) max_abs_grad = tf.reduce_max(abs_grad, axis, keepdims=True) tied_for_max = tf.dtypes.cast(tf.equal(abs_grad, max_abs_grad), dtype=tf.float32) num_ties = tf.reduce_sum(tied_for_max, axis, keepdims=True) optimal_perturbation = sign * tied_for_max / num_ties elif ord == 2: square = tf.maximum(avoid_zero_div, tf.reduce_sum(tf.square(grad), axis, keepdims=True)) optimal_perturbation = grad / tf.sqrt(square) else: raise NotImplementedError("Only L-inf, L1 and L2 norms are currently implemented.") # Scale perturbation to be the solution for the norm=eps rather than norm=1 problem scaled_perturbation = tf.multiply(eps, optimal_perturbation) return scaled_perturbation

44.573643

112

0.722087

import numpy as np import tensorflow as tf def fast_gradient_method(model_fn, x, eps, ord, clip_min=None, clip_max=None, y=None, targeted=False, sanity_checks=False): if ord not in [np.inf, 1, 2]: raise ValueError("Norm order must be either np.inf, 1, or 2.") asserts = [] if clip_min is not None: asserts.append(tf.math.greater_equal(x, clip_min)) if clip_max is not None: asserts.append(tf.math.less_equal(x, clip_max)) if y is None: y = tf.argmax(model_fn(x), 1) grad = compute_gradient(model_fn, x, y, targeted) optimal_perturbation = optimize_linear(grad, eps, ord) adv_x = x + optimal_perturbation if (clip_min is not None) or (clip_max is not None): assert clip_min is not None and clip_max is not None adv_x = tf.clip_by_value(adv_x, clip_min, clip_max) if sanity_checks: assert np.all(asserts) return adv_x # Due to performance reasons, this function is wrapped inside of tf.function decorator. # Not using the decorator here, or letting the user wrap the attack in tf.function is way # slower on Tensorflow 2.0.0-alpha0. @tf.function def compute_gradient(model_fn, x, y, targeted): loss_fn = tf.nn.sparse_softmax_cross_entropy_with_logits with tf.GradientTape() as g: g.watch(x) # Compute loss loss = loss_fn(labels=y, logits=model_fn(x)) if targeted: # attack is targeted, minimize loss of target label rather than maximize loss of correct label loss = -loss # Define gradient of loss wrt input grad = g.gradient(loss, x) return grad def optimize_linear(grad, eps, ord=np.inf): # Convert the iterator returned by `range` into a list. axis = list(range(1, len(grad.get_shape()))) avoid_zero_div = 1e-12 if ord == np.inf: # Take sign of gradient optimal_perturbation = tf.sign(grad) # The following line should not change the numerical results. It applies only because # `optimal_perturbation` is the output of a `sign` op, which has zero derivative anyway. # It should not be applied for the other norms, where the perturbation has a non-zero derivative. optimal_perturbation = tf.stop_gradient(optimal_perturbation) elif ord == 1: abs_grad = tf.abs(grad) sign = tf.sign(grad) max_abs_grad = tf.reduce_max(abs_grad, axis, keepdims=True) tied_for_max = tf.dtypes.cast(tf.equal(abs_grad, max_abs_grad), dtype=tf.float32) num_ties = tf.reduce_sum(tied_for_max, axis, keepdims=True) optimal_perturbation = sign * tied_for_max / num_ties elif ord == 2: square = tf.maximum(avoid_zero_div, tf.reduce_sum(tf.square(grad), axis, keepdims=True)) optimal_perturbation = grad / tf.sqrt(square) else: raise NotImplementedError("Only L-inf, L1 and L2 norms are currently implemented.") # Scale perturbation to be the solution for the norm=eps rather than norm=1 problem scaled_perturbation = tf.multiply(eps, optimal_perturbation) return scaled_perturbation

true

f70d937a2f3eb0c27ac1061da0f0c175ebf0e68f

1,695

py

Python

tools/ports/sdl2_net.py

talrasha/emscripten

5ece531a4bc724b133da0e1b0ce061e0c2e7bebd

[ "MIT" ]

1

2021-06-15T20:40:30.000Z

tools/ports/sdl2_net.py

talrasha/emscripten

5ece531a4bc724b133da0e1b0ce061e0c2e7bebd

[ "MIT" ]

null

tools/ports/sdl2_net.py

talrasha/emscripten

5ece531a4bc724b133da0e1b0ce061e0c2e7bebd

[ "MIT" ]

null

# Copyright 2016 The Emscripten Authors. All rights reserved. # Emscripten is available under two separate licenses, the MIT license and the # University of Illinois/NCSA Open Source License. Both these licenses can be # found in the LICENSE file. import os import logging TAG = 'version_2' HASH = '317b22ad9b6b2f7b40fac7b7c426da2fa2da1803bbe58d480631f1e5b190d730763f2768c77c72affa806c69a1e703f401b15a1be3ec611cd259950d5ebc3711' def needed(settings): return settings.USE_SDL_NET == 2 def get(ports, settings, shared): sdl_build = os.path.join(ports.get_build_dir(), 'sdl2') assert os.path.exists(sdl_build), 'You must use SDL2 to use SDL2_net' ports.fetch_project('sdl2_net', 'https://github.com/emscripten-ports/SDL2_net/archive/' + TAG + '.zip', 'SDL2_net-' + TAG, sha512hash=HASH) def create(final): logging.info('building port: sdl2_net') src_dir = os.path.join(ports.get_dir(), 'sdl2_net', 'SDL2_net-' + TAG) ports.install_headers(src_dir, target='SDL2') srcs = 'SDLnet.c SDLnetselect.c SDLnetTCP.c SDLnetUDP.c'.split() commands = [] o_s = [] for src in srcs: o = os.path.join(ports.get_build_dir(), 'sdl2_net', src + '.o') commands.append([shared.EMCC, '-c', os.path.join(src_dir, src), '-O2', '-s', 'USE_SDL=2', '-o', o, '-w']) o_s.append(o) shared.safe_ensure_dirs(os.path.dirname(o_s[0])) ports.run_commands(commands) ports.create_lib(final, o_s) return [shared.Cache.get_lib('libSDL2_net.a', create, what='port')] def clear(ports, settings, shared): shared.Cache.erase_lib('libSDL2_net.a') def process_args(ports): return [] def show(): return 'SDL2_net (zlib license)'

33.235294

141

0.703835

import os import logging TAG = 'version_2' HASH = '317b22ad9b6b2f7b40fac7b7c426da2fa2da1803bbe58d480631f1e5b190d730763f2768c77c72affa806c69a1e703f401b15a1be3ec611cd259950d5ebc3711' def needed(settings): return settings.USE_SDL_NET == 2 def get(ports, settings, shared): sdl_build = os.path.join(ports.get_build_dir(), 'sdl2') assert os.path.exists(sdl_build), 'You must use SDL2 to use SDL2_net' ports.fetch_project('sdl2_net', 'https://github.com/emscripten-ports/SDL2_net/archive/' + TAG + '.zip', 'SDL2_net-' + TAG, sha512hash=HASH) def create(final): logging.info('building port: sdl2_net') src_dir = os.path.join(ports.get_dir(), 'sdl2_net', 'SDL2_net-' + TAG) ports.install_headers(src_dir, target='SDL2') srcs = 'SDLnet.c SDLnetselect.c SDLnetTCP.c SDLnetUDP.c'.split() commands = [] o_s = [] for src in srcs: o = os.path.join(ports.get_build_dir(), 'sdl2_net', src + '.o') commands.append([shared.EMCC, '-c', os.path.join(src_dir, src), '-O2', '-s', 'USE_SDL=2', '-o', o, '-w']) o_s.append(o) shared.safe_ensure_dirs(os.path.dirname(o_s[0])) ports.run_commands(commands) ports.create_lib(final, o_s) return [shared.Cache.get_lib('libSDL2_net.a', create, what='port')] def clear(ports, settings, shared): shared.Cache.erase_lib('libSDL2_net.a') def process_args(ports): return [] def show(): return 'SDL2_net (zlib license)'

true

f70d94efdaf5515a4cd7eccef6c077140b0a5904

24

py

Python

sitgan/data/__init__.py

clintonjwang/sitgan

05210ec13073bcca9b4dbff798fb626d963082dc

[ "MIT" ]

null

sitgan/data/__init__.py

clintonjwang/sitgan

05210ec13073bcca9b4dbff798fb626d963082dc

[ "MIT" ]

null

sitgan/data/__init__.py

clintonjwang/sitgan

05210ec13073bcca9b4dbff798fb626d963082dc

[ "MIT" ]

null

from . import transforms

24

0.833333

from . import transforms

true

f70d9574d01b85f8c6cf508bbfc319ed7382d21b

4,863

py

Python

pykeyset/utils/logging.py

staticintlucas/pykeyset

8581252c85dfceebe22926af4640164a0895e7a0

[ "Apache-2.0", "MIT" ]

1

2021-07-06T16:43:25.000Z

pykeyset/utils/logging.py

staticintlucas/pykeyset

8581252c85dfceebe22926af4640164a0895e7a0

[ "Apache-2.0", "MIT" ]

null

pykeyset/utils/logging.py

staticintlucas/pykeyset

8581252c85dfceebe22926af4640164a0895e7a0

[ "Apache-2.0", "MIT" ]

null

import inspect import sys from pathlib import Path from types import TracebackType from typing import NoReturn, Optional, Union import rich.console import typer from . import Severity, Verbosity from .config import config __all__ = ["error", "warning", "info", "debug"] COLOR_MAP = { Severity.ERROR: "red", Severity.WARNING: "yellow", Severity.INFO: "blue", Severity.DEBUG: "dim", } VERBOSITY_MAP = { Severity.ERROR: Verbosity.QUIET, Severity.WARNING: Verbosity.NORMAL, Severity.INFO: Verbosity.VERBOSE, Severity.DEBUG: Verbosity.DEBUG, } def error( error: Exception, file: Optional[Union[str, Path]] = None, prev_except: Optional[Exception] = None, ) -> NoReturn: """Handle an error in pykeyset code. Depending on the current configuration, this function can raise the error as an exception, print the error to the terminal, and/or exit the script.""" # Try to remove this call from the traceback. This will make it look like the exception was # raised where this function was called, not inside. Note: this is not guaranteed to work on # version < 3.7 or implementation != CPython, in which case we just pass None to raise_or_print frame = inspect.currentframe() if frame is not None: frame = frame.f_back conf = config() if conf.verbosity >= Verbosity.QUIET: message = format_error(error) print_message(message, Severity.ERROR, file) if conf.is_script: raise typer.Exit(1) else: # Create a traceback from frame (Python >= 3.7 only) if frame is not None and sys.version_info >= (3, 7): tb = TracebackType( tb_next=None, tb_frame=frame, tb_lasti=frame.f_lasti, tb_lineno=frame.f_lineno ) raise error.with_traceback(tb) from prev_except else: raise error from prev_except # pragma: no cover def warning( error: Exception, resolution: str, file: Optional[str] = None, prev_except: Optional[Exception] = None, ) -> None: """Handle an warning in pykeyset code. Depending on the current configuration, this function can raise the warning as an exception or print the warning to the terminal, or silently ignore it.""" # See comment in error() for details. Warnings can also end up raising an exception (if # raise_warnings is set in the config). frame = inspect.currentframe() if frame is not None: frame = frame.f_back conf = config() if conf.verbosity >= Verbosity.NORMAL: # Only format the resolution if this warning will not be raised. Otherwise the resolution # doesn't resolve anything if conf.raise_warnings: message = format_error(error) else: message = format_error(error, resolution) print_message(message, Severity.WARNING, file) if conf.raise_warnings: if conf.is_script: raise typer.Exit(1) else: # Create a traceback from frame (Python >= 3.7 only) if frame is not None and sys.version_info >= (3, 7): tb = TracebackType( tb_next=None, tb_frame=frame, tb_lasti=frame.f_lasti, tb_lineno=frame.f_lineno ) raise error.with_traceback(tb) from prev_except else: raise error from prev_except # pragma: no cover def info(message: str, file: Optional[str] = None): if config().verbosity >= Verbosity.VERBOSE: print_message(message, Severity.INFO, file) def debug(message: str, file: Optional[str] = None): if config().verbosity >= Verbosity.DEBUG: print_message(message, Severity.DEBUG, file) def format_error(error: Exception, resolution: Optional[str] = None) -> str: if isinstance(error, OSError): if error.filename is not None: filename = Path(error.filename).name result = f"cannot open file {format_filename(filename)}: {error.strerror.lower()}" elif error.strerror is not None: result = error.strerror.lower() else: result = str(error).lower() else: result = f"{error}" if resolution is not None: result = f"{result}. {resolution}" return result def format_filename(filename: Union[str, Path]) -> str: return f"[bold magenta]{filename}[/bold magenta]" def print_message( message: str, severity: Severity, filename: Optional[Union[str, Path]] = None ) -> None: color = COLOR_MAP.get(severity, "magenta") prefix = severity.name.capitalize() console = rich.console.Console(force_terminal=config().color, stderr=True) console.print(f"[{color} bold]{prefix}:[/{color} bold] {message}") if filename is not None: console.print(f" In file {format_filename(filename)}")

31.577922

99

0.652478

import inspect import sys from pathlib import Path from types import TracebackType from typing import NoReturn, Optional, Union import rich.console import typer from . import Severity, Verbosity from .config import config __all__ = ["error", "warning", "info", "debug"] COLOR_MAP = { Severity.ERROR: "red", Severity.WARNING: "yellow", Severity.INFO: "blue", Severity.DEBUG: "dim", } VERBOSITY_MAP = { Severity.ERROR: Verbosity.QUIET, Severity.WARNING: Verbosity.NORMAL, Severity.INFO: Verbosity.VERBOSE, Severity.DEBUG: Verbosity.DEBUG, } def error( error: Exception, file: Optional[Union[str, Path]] = None, prev_except: Optional[Exception] = None, ) -> NoReturn: frame = inspect.currentframe() if frame is not None: frame = frame.f_back conf = config() if conf.verbosity >= Verbosity.QUIET: message = format_error(error) print_message(message, Severity.ERROR, file) if conf.is_script: raise typer.Exit(1) else: if frame is not None and sys.version_info >= (3, 7): tb = TracebackType( tb_next=None, tb_frame=frame, tb_lasti=frame.f_lasti, tb_lineno=frame.f_lineno ) raise error.with_traceback(tb) from prev_except else: raise error from prev_except def warning( error: Exception, resolution: str, file: Optional[str] = None, prev_except: Optional[Exception] = None, ) -> None: frame = inspect.currentframe() if frame is not None: frame = frame.f_back conf = config() if conf.verbosity >= Verbosity.NORMAL: if conf.raise_warnings: message = format_error(error) else: message = format_error(error, resolution) print_message(message, Severity.WARNING, file) if conf.raise_warnings: if conf.is_script: raise typer.Exit(1) else: # Create a traceback from frame (Python >= 3.7 only) if frame is not None and sys.version_info >= (3, 7): tb = TracebackType( tb_next=None, tb_frame=frame, tb_lasti=frame.f_lasti, tb_lineno=frame.f_lineno ) raise error.with_traceback(tb) from prev_except else: raise error from prev_except # pragma: no cover def info(message: str, file: Optional[str] = None): if config().verbosity >= Verbosity.VERBOSE: print_message(message, Severity.INFO, file) def debug(message: str, file: Optional[str] = None): if config().verbosity >= Verbosity.DEBUG: print_message(message, Severity.DEBUG, file) def format_error(error: Exception, resolution: Optional[str] = None) -> str: if isinstance(error, OSError): if error.filename is not None: filename = Path(error.filename).name result = f"cannot open file {format_filename(filename)}: {error.strerror.lower()}" elif error.strerror is not None: result = error.strerror.lower() else: result = str(error).lower() else: result = f"{error}" if resolution is not None: result = f"{result}. {resolution}" return result def format_filename(filename: Union[str, Path]) -> str: return f"[bold magenta]{filename}[/bold magenta]" def print_message( message: str, severity: Severity, filename: Optional[Union[str, Path]] = None ) -> None: color = COLOR_MAP.get(severity, "magenta") prefix = severity.name.capitalize() console = rich.console.Console(force_terminal=config().color, stderr=True) console.print(f"[{color} bold]{prefix}:[/{color} bold] {message}") if filename is not None: console.print(f" In file {format_filename(filename)}")

true

f70d95b29b25b745f9f62876f9ff2ab90112943d

1,234

py

Python

notebooks/project_functions.py

data301-2021-winter1/project-group25-project

203421ca91c95786de4a2fff5412693493b9371f

[ "MIT" ]

null

notebooks/project_functions.py

data301-2021-winter1/project-group25-project

203421ca91c95786de4a2fff5412693493b9371f

[ "MIT" ]

null

notebooks/project_functions.py

data301-2021-winter1/project-group25-project

203421ca91c95786de4a2fff5412693493b9371f

[ "MIT" ]

1

2021-10-31T20:46:34.000Z

import pandas as pd import numpy as np def load_and_process_data(path): rawData = pd.read_csv(path, sep=";") rawData = rawData[rawData.columns[:-2]].dropna().rename(columns={"RH": "Relative Humidity", "AH": "Absolute Humdity", "T": "Temp"}) for col in rawData.columns: #covert strings into floats if rawData[col].dtypes == object: try: rawData[col] = rawData[col].str.replace(",", ".") rawData[col] = rawData[col].astype(float) except ValueError: pass #remove row with values of less than 0 if rawData[col].dtypes==np.float64: rawData = rawData[rawData[col]>=0] return rawData def getAverageConcentration(df, column): ''' takes in dataFrame and a string column name returns an array of 24 integers representing the average values of the column for every hour of the day ''' average=0 averages = np.zeros(24) print(type(df[column][0])) for hour in range(24): time = "%s.00.00"%hour validColumns = df[df["Time"]==time] average = float(validColumns.sum()[column]) / int(df.shape[0]) averages[hour]= average return averages pass

36.294118

135

0.60859

import pandas as pd import numpy as np def load_and_process_data(path): rawData = pd.read_csv(path, sep=";") rawData = rawData[rawData.columns[:-2]].dropna().rename(columns={"RH": "Relative Humidity", "AH": "Absolute Humdity", "T": "Temp"}) for col in rawData.columns: if rawData[col].dtypes == object: try: rawData[col] = rawData[col].str.replace(",", ".") rawData[col] = rawData[col].astype(float) except ValueError: pass if rawData[col].dtypes==np.float64: rawData = rawData[rawData[col]>=0] return rawData def getAverageConcentration(df, column): average=0 averages = np.zeros(24) print(type(df[column][0])) for hour in range(24): time = "%s.00.00"%hour validColumns = df[df["Time"]==time] average = float(validColumns.sum()[column]) / int(df.shape[0]) averages[hour]= average return averages pass

true

f70d95c5b7bb3ce53da0664c50022da70c4679e7

3,359

py

Python

analytical/templatetags/woopra.py

rristow/django-analytical

87fed08537174e7b018b7364ce1dade31015f1d9

[ "MIT" ]

null

analytical/templatetags/woopra.py

rristow/django-analytical

87fed08537174e7b018b7364ce1dade31015f1d9

[ "MIT" ]

null

analytical/templatetags/woopra.py

rristow/django-analytical

87fed08537174e7b018b7364ce1dade31015f1d9

[ "MIT" ]

null

""" Woopra template tags and filters. """ from __future__ import absolute_import import json import re from django.conf import settings from django.template import Library, Node, TemplateSyntaxError from analytical.utils import ( disable_html, get_identity, get_required_setting, get_user_from_context, get_user_is_authenticated, is_internal_ip, ) DOMAIN_RE = re.compile(r'^\S+$') TRACKING_CODE = """ <script type="text/javascript"> var woo_settings = %(settings)s; var woo_visitor = %(visitor)s; !function(){var a,b,c,d=window,e=document,f=arguments,g="script",h=["config","track","trackForm","trackClick","identify","visit","push","call"],i=function(){var a,b=this,c=function(a){b[a]=function(){return b._e.push([a].concat(Array.prototype.slice.call(arguments,0))),b}};for(b._e=[],a=0;a<h.length;a++)c(h[a])};for(d.__woo=d.__woo||{},a=0;a<f.length;a++)d.__woo[f[a]]=d[f[a]]=d[f[a]]||new i;b=e.createElement(g),b.async=1,b.src="//static.woopra.com/js/w.js",c=e.getElementsByTagName(g)[0],c.parentNode.insertBefore(b,c)}("woopra"); woopra.config(woo_settings); woopra.identify(woo_visitor); woopra.track(); </script> """ # noqa register = Library() @register.tag def woopra(parser, token): """ Woopra tracking template tag. Renders Javascript code to track page visits. You must supply your Woopra domain in the ``WOOPRA_DOMAIN`` setting. """ bits = token.split_contents() if len(bits) > 1: raise TemplateSyntaxError("'%s' takes no arguments" % bits[0]) return WoopraNode() class WoopraNode(Node): def __init__(self): self.domain = get_required_setting( 'WOOPRA_DOMAIN', DOMAIN_RE, "must be a domain name") def render(self, context): if settings.get("DISABLE_TRACKING_CODE", False): return "" cfg = self._get_settings(context) visitor = self._get_visitor(context) html = TRACKING_CODE % { 'settings': json.dumps(cfg, sort_keys=True), 'visitor': json.dumps(visitor, sort_keys=True), } if is_internal_ip(context, 'WOOPRA'): html = disable_html(html, 'Woopra') return html def _get_settings(self, context): variables = {'domain': self.domain} try: variables['idle_timeout'] = str(settings.WOOPRA_IDLE_TIMEOUT) except AttributeError: pass return variables def _get_visitor(self, context): params = {} for dict_ in context: for var, val in dict_.items(): if var.startswith('woopra_'): params[var[7:]] = val if 'name' not in params and 'email' not in params: user = get_user_from_context(context) if user is not None and get_user_is_authenticated(user): params['name'] = get_identity( context, 'woopra', self._identify, user) if user.email: params['email'] = user.email return params def _identify(self, user): name = user.get_full_name() if not name: name = user.username return name def contribute_to_analytical(add_node): WoopraNode() # ensure properly configured add_node('head_bottom', WoopraNode)

32.298077

540

0.622209

from __future__ import absolute_import import json import re from django.conf import settings from django.template import Library, Node, TemplateSyntaxError from analytical.utils import ( disable_html, get_identity, get_required_setting, get_user_from_context, get_user_is_authenticated, is_internal_ip, ) DOMAIN_RE = re.compile(r'^\S+$') TRACKING_CODE = """ <script type="text/javascript"> var woo_settings = %(settings)s; var woo_visitor = %(visitor)s; !function(){var a,b,c,d=window,e=document,f=arguments,g="script",h=["config","track","trackForm","trackClick","identify","visit","push","call"],i=function(){var a,b=this,c=function(a){b[a]=function(){return b._e.push([a].concat(Array.prototype.slice.call(arguments,0))),b}};for(b._e=[],a=0;a<h.length;a++)c(h[a])};for(d.__woo=d.__woo||{},a=0;a<f.length;a++)d.__woo[f[a]]=d[f[a]]=d[f[a]]||new i;b=e.createElement(g),b.async=1,b.src="//static.woopra.com/js/w.js",c=e.getElementsByTagName(g)[0],c.parentNode.insertBefore(b,c)}("woopra"); woopra.config(woo_settings); woopra.identify(woo_visitor); woopra.track(); </script> """ register = Library() @register.tag def woopra(parser, token): bits = token.split_contents() if len(bits) > 1: raise TemplateSyntaxError("'%s' takes no arguments" % bits[0]) return WoopraNode() class WoopraNode(Node): def __init__(self): self.domain = get_required_setting( 'WOOPRA_DOMAIN', DOMAIN_RE, "must be a domain name") def render(self, context): if settings.get("DISABLE_TRACKING_CODE", False): return "" cfg = self._get_settings(context) visitor = self._get_visitor(context) html = TRACKING_CODE % { 'settings': json.dumps(cfg, sort_keys=True), 'visitor': json.dumps(visitor, sort_keys=True), } if is_internal_ip(context, 'WOOPRA'): html = disable_html(html, 'Woopra') return html def _get_settings(self, context): variables = {'domain': self.domain} try: variables['idle_timeout'] = str(settings.WOOPRA_IDLE_TIMEOUT) except AttributeError: pass return variables def _get_visitor(self, context): params = {} for dict_ in context: for var, val in dict_.items(): if var.startswith('woopra_'): params[var[7:]] = val if 'name' not in params and 'email' not in params: user = get_user_from_context(context) if user is not None and get_user_is_authenticated(user): params['name'] = get_identity( context, 'woopra', self._identify, user) if user.email: params['email'] = user.email return params def _identify(self, user): name = user.get_full_name() if not name: name = user.username return name def contribute_to_analytical(add_node): WoopraNode() add_node('head_bottom', WoopraNode)

true

f70d95f727bc95acfcd6297cb018c2d395fbfd5c

1,277

py

Python

.docker/Redis/redispass.py

andersonpem/cpmr-stack

b06da6a1dce922b822cbb8884efde08ad92f3d46

[ "MIT" ]

1

2020-06-18T18:52:17.000Z

.docker/Redis/redispass.py

andersonpem/cpmr-stack

b06da6a1dce922b822cbb8884efde08ad92f3d46

[ "MIT" ]

null

.docker/Redis/redispass.py

andersonpem/cpmr-stack

b06da6a1dce922b822cbb8884efde08ad92f3d46

[ "MIT" ]

null

#!/usr/bin/env python3 # -*- coding: utf-8 -*- import os, sys from os import path clear = lambda: os.system('clear') green = "\033[1;32;2m" greenblink = "\033[1;32;5m" yellow = "\033[1;33;2m" yellowblink = "\033[1;33;5m" redblink = "\033[1;31;5m" red = "\033[1;31;2m" white = "\033[1;37;0m" normal = "\033[0m" # ============================= if not path.exists("/run/secrets/redis_secret"): print (red+" A Redis password is not set in the secrets."+normal) print (red+" The server will start with the default password: "+green+"testpass"+normal) print (red+" It is highly advisable to change this password for security reasons."+normal) print (red+" Please refer to http://link.to.documentation to fix this. "+normal) # sys.exit(1) else: print (green+" Setting everything up. It'll only take a second."+normal) secret = open('/run/secrets/redis_secret', 'r') with open('/usr/local/etc/redis/redis.conf') as f: newText=f.read().replace('testpass', secret.read()) with open('/usr/local/etc/redis/redis.conf', "w") as f: f.write(newText) secret.close() print(green+" Server is ready to start. That's what we will do next :)"+normal) print("=========================================================================")

41.193548

94

0.602193

import os, sys from os import path clear = lambda: os.system('clear') green = "\033[1;32;2m" greenblink = "\033[1;32;5m" yellow = "\033[1;33;2m" yellowblink = "\033[1;33;5m" redblink = "\033[1;31;5m" red = "\033[1;31;2m" white = "\033[1;37;0m" normal = "\033[0m" if not path.exists("/run/secrets/redis_secret"): print (red+" A Redis password is not set in the secrets."+normal) print (red+" The server will start with the default password: "+green+"testpass"+normal) print (red+" It is highly advisable to change this password for security reasons."+normal) print (red+" Please refer to http://link.to.documentation to fix this. "+normal) else: print (green+" Setting everything up. It'll only take a second."+normal) secret = open('/run/secrets/redis_secret', 'r') with open('/usr/local/etc/redis/redis.conf') as f: newText=f.read().replace('testpass', secret.read()) with open('/usr/local/etc/redis/redis.conf', "w") as f: f.write(newText) secret.close() print(green+" Server is ready to start. That's what we will do next :)"+normal) print("=========================================================================")

true

f70d968be6e53e9add9f2f5cc5c6f2bcc49aa019

11,071

py

Python

octavia/tests/unit/common/tls_utils/test_cert_parser.py

lingxiankong/octavia

4a5c24ef6fcd3b5f198a20d780dedd7f7976296d

[ "Apache-2.0" ]

null

octavia/tests/unit/common/tls_utils/test_cert_parser.py

lingxiankong/octavia

4a5c24ef6fcd3b5f198a20d780dedd7f7976296d

[ "Apache-2.0" ]

null

octavia/tests/unit/common/tls_utils/test_cert_parser.py

lingxiankong/octavia

4a5c24ef6fcd3b5f198a20d780dedd7f7976296d

[ "Apache-2.0" ]

null

# # Copyright 2014 OpenStack Foundation. All rights reserved # # Licensed under the Apache License, Version 2.0 (the "License"); you may # not use this file except in compliance with the License. You may obtain # a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, WITHOUT # WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the # License for the specific language governing permissions and limitations # under the License. import datetime from cryptography import x509 import mock from octavia.common import data_models import octavia.common.exceptions as exceptions import octavia.common.tls_utils.cert_parser as cert_parser from octavia.tests.common import sample_certs from octavia.tests.unit import base from octavia.tests.unit.common.sample_configs import sample_configs_combined class TestTLSParseUtils(base.TestCase): def test_alt_subject_name_parses(self): hosts = cert_parser.get_host_names(sample_certs.ALT_EXT_CRT) self.assertIn('www.cnfromsubject.org', hosts['cn']) self.assertIn('www.hostFromDNSName1.com', hosts['dns_names']) self.assertIn('www.hostFromDNSName2.com', hosts['dns_names']) self.assertIn('www.hostFromDNSName3.com', hosts['dns_names']) self.assertIn('www.hostFromDNSName4.com', hosts['dns_names']) def test_x509_parses(self): self.assertRaises(exceptions.UnreadableCert, cert_parser.validate_cert, "BAD CERT") self.assertTrue(cert_parser.validate_cert(sample_certs.X509_CERT)) self.assertTrue(cert_parser.validate_cert(sample_certs.X509_CERT, private_key=sample_certs.X509_CERT_KEY)) def test_read_private_key_pkcs8(self): self.assertRaises(exceptions.NeedsPassphrase, cert_parser._read_private_key, sample_certs.ENCRYPTED_PKCS8_CRT_KEY) cert_parser._read_private_key( sample_certs.ENCRYPTED_PKCS8_CRT_KEY, passphrase=sample_certs.ENCRYPTED_PKCS8_CRT_KEY_PASSPHRASE) def test_read_private_key_pem(self): self.assertRaises(exceptions.NeedsPassphrase, cert_parser._read_private_key, sample_certs.X509_CERT_KEY_ENCRYPTED) cert_parser._read_private_key( sample_certs.X509_CERT_KEY_ENCRYPTED, passphrase=sample_certs.X509_CERT_KEY_PASSPHRASE) def test_prepare_private_key(self): self.assertEqual( cert_parser.prepare_private_key( sample_certs.X509_CERT_KEY_ENCRYPTED, passphrase=sample_certs.X509_CERT_KEY_PASSPHRASE), sample_certs.X509_CERT_KEY) def test_prepare_private_key_orig_not_encrypted(self): self.assertEqual( cert_parser.prepare_private_key( sample_certs.X509_CERT_KEY), sample_certs.X509_CERT_KEY) def test_validate_cert_and_key_match(self): self.assertTrue( cert_parser.validate_cert( sample_certs.X509_CERT, private_key=sample_certs.X509_CERT_KEY)) self.assertTrue( cert_parser.validate_cert( sample_certs.X509_CERT, private_key=sample_certs.X509_CERT_KEY.decode('utf-8'))) self.assertRaises(exceptions.MisMatchedKey, cert_parser.validate_cert, sample_certs.X509_CERT, private_key=sample_certs.X509_CERT_KEY_2) def test_validate_cert_handles_intermediates(self): self.assertTrue( cert_parser.validate_cert( sample_certs.X509_CERT, private_key=sample_certs.X509_CERT_KEY, intermediates=(sample_certs.X509_IMDS + b"\nParser should ignore junk\n"))) self.assertTrue( cert_parser.validate_cert( sample_certs.X509_CERT, private_key=sample_certs.X509_CERT_KEY, intermediates=sample_certs.X509_IMDS_LIST)) def test_split_x509s(self): imds = [] for x509Pem in cert_parser._split_x509s(sample_certs.TEST_X509_IMDS): imds.append(cert_parser._get_x509_from_pem_bytes(x509Pem)) for i in range(0, len(imds)): self.assertEqual(sample_certs.EXPECTED_IMD_TEST_SUBJS[i], imds[i].subject.get_attributes_for_oid( x509.OID_COMMON_NAME)[0].value) def test_get_intermediates_pem_chain(self): self.assertEqual( sample_certs.X509_IMDS_LIST, list(cert_parser.get_intermediates_pems(sample_certs.X509_IMDS))) def test_get_intermediates_pkcs7_pem(self): self.assertEqual( sample_certs.X509_IMDS_LIST, list(cert_parser.get_intermediates_pems(sample_certs.PKCS7_PEM))) def test_get_intermediates_pkcs7_pem_bad(self): self.assertRaises( exceptions.UnreadableCert, lambda: list(cert_parser.get_intermediates_pems( b'-----BEGIN PKCS7-----\nbad data\n-----END PKCS7-----'))) def test_get_intermediates_pkcs7_der(self): self.assertEqual( sample_certs.X509_IMDS_LIST, list(cert_parser.get_intermediates_pems(sample_certs.PKCS7_DER))) def test_get_intermediates_pkcs7_der_bad(self): self.assertRaises( exceptions.UnreadableCert, lambda: list(cert_parser.get_intermediates_pems( b'\xfe\xfe\xff\xff'))) def test_get_x509_from_der_bytes_bad(self): self.assertRaises( exceptions.UnreadableCert, cert_parser._get_x509_from_der_bytes, b'bad data') @mock.patch('oslo_context.context.RequestContext') def test_load_certificates(self, mock_oslo): listener = sample_configs_combined.sample_listener_tuple( tls=True, sni=True, client_ca_cert=True) client = mock.MagicMock() context = mock.Mock() context.project_id = '12345' with mock.patch.object(cert_parser, 'get_host_names') as cp: with mock.patch.object(cert_parser, '_map_cert_tls_container'): cp.return_value = {'cn': 'fakeCN'} cert_parser.load_certificates_data(client, listener, context) # Ensure upload_cert is called three times calls_cert_mngr = [ mock.call.get_cert(context, 'cont_id_1', check_only=True), mock.call.get_cert(context, 'cont_id_2', check_only=True), mock.call.get_cert(context, 'cont_id_3', check_only=True) ] client.assert_has_calls(calls_cert_mngr) # Test asking for nothing listener = sample_configs_combined.sample_listener_tuple( tls=False, sni=False, client_ca_cert=False) client = mock.MagicMock() with mock.patch.object(cert_parser, '_map_cert_tls_container') as mock_map: result = cert_parser.load_certificates_data(client, listener) mock_map.assert_not_called() ref_empty_dict = {'tls_cert': None, 'sni_certs': []} self.assertEqual(ref_empty_dict, result) mock_oslo.assert_called() def test_load_certificates_get_cert_errors(self): mock_cert_mngr = mock.MagicMock() mock_obj = mock.MagicMock() mock_sni_container = mock.MagicMock() mock_sni_container.tls_container_id = 2 mock_cert_mngr.get_cert.side_effect = [Exception, Exception] # Test tls_certificate_id error mock_obj.tls_certificate_id = 1 self.assertRaises(exceptions.CertificateRetrievalException, cert_parser.load_certificates_data, mock_cert_mngr, mock_obj) # Test sni_containers error mock_obj.tls_certificate_id = None mock_obj.sni_containers = [mock_sni_container] self.assertRaises(exceptions.CertificateRetrievalException, cert_parser.load_certificates_data, mock_cert_mngr, mock_obj) @mock.patch('octavia.certificates.common.cert.Cert') def test_map_cert_tls_container(self, cert_mock): tls = data_models.TLSContainer( id=sample_certs.X509_CERT_SHA1, primary_cn=sample_certs.X509_CERT_CN, certificate=sample_certs.X509_CERT, private_key=sample_certs.X509_CERT_KEY_ENCRYPTED, passphrase=sample_certs.X509_CERT_KEY_PASSPHRASE, intermediates=sample_certs.X509_IMDS_LIST) cert_mock.get_private_key.return_value = tls.private_key cert_mock.get_certificate.return_value = tls.certificate cert_mock.get_intermediates.return_value = tls.intermediates cert_mock.get_private_key_passphrase.return_value = tls.passphrase with mock.patch.object(cert_parser, 'get_host_names') as cp: cp.return_value = {'cn': sample_certs.X509_CERT_CN} self.assertEqual( tls.id, cert_parser._map_cert_tls_container( cert_mock).id) self.assertEqual( tls.primary_cn, cert_parser._map_cert_tls_container( cert_mock).primary_cn) self.assertEqual( tls.certificate, cert_parser._map_cert_tls_container( cert_mock).certificate) self.assertEqual( sample_certs.X509_CERT_KEY, cert_parser._map_cert_tls_container( cert_mock).private_key) self.assertEqual( tls.intermediates, cert_parser._map_cert_tls_container( cert_mock).intermediates) def test_build_pem(self): expected = b'imacert\nimakey\nimainter\nimainter2\n' tls_tuple = sample_configs_combined.sample_tls_container_tuple( certificate=b'imacert', private_key=b'imakey', intermediates=[b'imainter', b'imainter2']) self.assertEqual(expected, cert_parser.build_pem(tls_tuple)) def test_get_primary_cn(self): cert = sample_certs.X509_CERT with mock.patch.object(cert_parser, 'get_host_names') as cp: cp.return_value = {'cn': 'fakeCN'} cn = cert_parser.get_primary_cn(cert) self.assertEqual('fakeCN', cn) def test_get_cert_expiration(self): exp_date = cert_parser.get_cert_expiration(sample_certs.X509_EXPIRED) self.assertEqual(datetime.datetime(2016, 9, 25, 18, 1, 54), exp_date) # test the exception self.assertRaises(exceptions.UnreadableCert, cert_parser.get_cert_expiration, 'bad-cert-file')

43.586614

78

0.65658

import datetime from cryptography import x509 import mock from octavia.common import data_models import octavia.common.exceptions as exceptions import octavia.common.tls_utils.cert_parser as cert_parser from octavia.tests.common import sample_certs from octavia.tests.unit import base from octavia.tests.unit.common.sample_configs import sample_configs_combined class TestTLSParseUtils(base.TestCase): def test_alt_subject_name_parses(self): hosts = cert_parser.get_host_names(sample_certs.ALT_EXT_CRT) self.assertIn('www.cnfromsubject.org', hosts['cn']) self.assertIn('www.hostFromDNSName1.com', hosts['dns_names']) self.assertIn('www.hostFromDNSName2.com', hosts['dns_names']) self.assertIn('www.hostFromDNSName3.com', hosts['dns_names']) self.assertIn('www.hostFromDNSName4.com', hosts['dns_names']) def test_x509_parses(self): self.assertRaises(exceptions.UnreadableCert, cert_parser.validate_cert, "BAD CERT") self.assertTrue(cert_parser.validate_cert(sample_certs.X509_CERT)) self.assertTrue(cert_parser.validate_cert(sample_certs.X509_CERT, private_key=sample_certs.X509_CERT_KEY)) def test_read_private_key_pkcs8(self): self.assertRaises(exceptions.NeedsPassphrase, cert_parser._read_private_key, sample_certs.ENCRYPTED_PKCS8_CRT_KEY) cert_parser._read_private_key( sample_certs.ENCRYPTED_PKCS8_CRT_KEY, passphrase=sample_certs.ENCRYPTED_PKCS8_CRT_KEY_PASSPHRASE) def test_read_private_key_pem(self): self.assertRaises(exceptions.NeedsPassphrase, cert_parser._read_private_key, sample_certs.X509_CERT_KEY_ENCRYPTED) cert_parser._read_private_key( sample_certs.X509_CERT_KEY_ENCRYPTED, passphrase=sample_certs.X509_CERT_KEY_PASSPHRASE) def test_prepare_private_key(self): self.assertEqual( cert_parser.prepare_private_key( sample_certs.X509_CERT_KEY_ENCRYPTED, passphrase=sample_certs.X509_CERT_KEY_PASSPHRASE), sample_certs.X509_CERT_KEY) def test_prepare_private_key_orig_not_encrypted(self): self.assertEqual( cert_parser.prepare_private_key( sample_certs.X509_CERT_KEY), sample_certs.X509_CERT_KEY) def test_validate_cert_and_key_match(self): self.assertTrue( cert_parser.validate_cert( sample_certs.X509_CERT, private_key=sample_certs.X509_CERT_KEY)) self.assertTrue( cert_parser.validate_cert( sample_certs.X509_CERT, private_key=sample_certs.X509_CERT_KEY.decode('utf-8'))) self.assertRaises(exceptions.MisMatchedKey, cert_parser.validate_cert, sample_certs.X509_CERT, private_key=sample_certs.X509_CERT_KEY_2) def test_validate_cert_handles_intermediates(self): self.assertTrue( cert_parser.validate_cert( sample_certs.X509_CERT, private_key=sample_certs.X509_CERT_KEY, intermediates=(sample_certs.X509_IMDS + b"\nParser should ignore junk\n"))) self.assertTrue( cert_parser.validate_cert( sample_certs.X509_CERT, private_key=sample_certs.X509_CERT_KEY, intermediates=sample_certs.X509_IMDS_LIST)) def test_split_x509s(self): imds = [] for x509Pem in cert_parser._split_x509s(sample_certs.TEST_X509_IMDS): imds.append(cert_parser._get_x509_from_pem_bytes(x509Pem)) for i in range(0, len(imds)): self.assertEqual(sample_certs.EXPECTED_IMD_TEST_SUBJS[i], imds[i].subject.get_attributes_for_oid( x509.OID_COMMON_NAME)[0].value) def test_get_intermediates_pem_chain(self): self.assertEqual( sample_certs.X509_IMDS_LIST, list(cert_parser.get_intermediates_pems(sample_certs.X509_IMDS))) def test_get_intermediates_pkcs7_pem(self): self.assertEqual( sample_certs.X509_IMDS_LIST, list(cert_parser.get_intermediates_pems(sample_certs.PKCS7_PEM))) def test_get_intermediates_pkcs7_pem_bad(self): self.assertRaises( exceptions.UnreadableCert, lambda: list(cert_parser.get_intermediates_pems( b'-----BEGIN PKCS7-----\nbad data\n-----END PKCS7-----'))) def test_get_intermediates_pkcs7_der(self): self.assertEqual( sample_certs.X509_IMDS_LIST, list(cert_parser.get_intermediates_pems(sample_certs.PKCS7_DER))) def test_get_intermediates_pkcs7_der_bad(self): self.assertRaises( exceptions.UnreadableCert, lambda: list(cert_parser.get_intermediates_pems( b'\xfe\xfe\xff\xff'))) def test_get_x509_from_der_bytes_bad(self): self.assertRaises( exceptions.UnreadableCert, cert_parser._get_x509_from_der_bytes, b'bad data') @mock.patch('oslo_context.context.RequestContext') def test_load_certificates(self, mock_oslo): listener = sample_configs_combined.sample_listener_tuple( tls=True, sni=True, client_ca_cert=True) client = mock.MagicMock() context = mock.Mock() context.project_id = '12345' with mock.patch.object(cert_parser, 'get_host_names') as cp: with mock.patch.object(cert_parser, '_map_cert_tls_container'): cp.return_value = {'cn': 'fakeCN'} cert_parser.load_certificates_data(client, listener, context) calls_cert_mngr = [ mock.call.get_cert(context, 'cont_id_1', check_only=True), mock.call.get_cert(context, 'cont_id_2', check_only=True), mock.call.get_cert(context, 'cont_id_3', check_only=True) ] client.assert_has_calls(calls_cert_mngr) listener = sample_configs_combined.sample_listener_tuple( tls=False, sni=False, client_ca_cert=False) client = mock.MagicMock() with mock.patch.object(cert_parser, '_map_cert_tls_container') as mock_map: result = cert_parser.load_certificates_data(client, listener) mock_map.assert_not_called() ref_empty_dict = {'tls_cert': None, 'sni_certs': []} self.assertEqual(ref_empty_dict, result) mock_oslo.assert_called() def test_load_certificates_get_cert_errors(self): mock_cert_mngr = mock.MagicMock() mock_obj = mock.MagicMock() mock_sni_container = mock.MagicMock() mock_sni_container.tls_container_id = 2 mock_cert_mngr.get_cert.side_effect = [Exception, Exception] mock_obj.tls_certificate_id = 1 self.assertRaises(exceptions.CertificateRetrievalException, cert_parser.load_certificates_data, mock_cert_mngr, mock_obj) mock_obj.tls_certificate_id = None mock_obj.sni_containers = [mock_sni_container] self.assertRaises(exceptions.CertificateRetrievalException, cert_parser.load_certificates_data, mock_cert_mngr, mock_obj) @mock.patch('octavia.certificates.common.cert.Cert') def test_map_cert_tls_container(self, cert_mock): tls = data_models.TLSContainer( id=sample_certs.X509_CERT_SHA1, primary_cn=sample_certs.X509_CERT_CN, certificate=sample_certs.X509_CERT, private_key=sample_certs.X509_CERT_KEY_ENCRYPTED, passphrase=sample_certs.X509_CERT_KEY_PASSPHRASE, intermediates=sample_certs.X509_IMDS_LIST) cert_mock.get_private_key.return_value = tls.private_key cert_mock.get_certificate.return_value = tls.certificate cert_mock.get_intermediates.return_value = tls.intermediates cert_mock.get_private_key_passphrase.return_value = tls.passphrase with mock.patch.object(cert_parser, 'get_host_names') as cp: cp.return_value = {'cn': sample_certs.X509_CERT_CN} self.assertEqual( tls.id, cert_parser._map_cert_tls_container( cert_mock).id) self.assertEqual( tls.primary_cn, cert_parser._map_cert_tls_container( cert_mock).primary_cn) self.assertEqual( tls.certificate, cert_parser._map_cert_tls_container( cert_mock).certificate) self.assertEqual( sample_certs.X509_CERT_KEY, cert_parser._map_cert_tls_container( cert_mock).private_key) self.assertEqual( tls.intermediates, cert_parser._map_cert_tls_container( cert_mock).intermediates) def test_build_pem(self): expected = b'imacert\nimakey\nimainter\nimainter2\n' tls_tuple = sample_configs_combined.sample_tls_container_tuple( certificate=b'imacert', private_key=b'imakey', intermediates=[b'imainter', b'imainter2']) self.assertEqual(expected, cert_parser.build_pem(tls_tuple)) def test_get_primary_cn(self): cert = sample_certs.X509_CERT with mock.patch.object(cert_parser, 'get_host_names') as cp: cp.return_value = {'cn': 'fakeCN'} cn = cert_parser.get_primary_cn(cert) self.assertEqual('fakeCN', cn) def test_get_cert_expiration(self): exp_date = cert_parser.get_cert_expiration(sample_certs.X509_EXPIRED) self.assertEqual(datetime.datetime(2016, 9, 25, 18, 1, 54), exp_date) self.assertRaises(exceptions.UnreadableCert, cert_parser.get_cert_expiration, 'bad-cert-file')

true

f70d969d2d54edc6fc7cd0ed266f778078fe1b26

2,549

py

Python

experiments/produce_images.py

hietalajulius/clothmanip

ec2ee1177d5cf31ee2367c2576c34b9cf3691501

[ "MIT" ]

null

experiments/produce_images.py

hietalajulius/clothmanip

ec2ee1177d5cf31ee2367c2576c34b9cf3691501

[ "MIT" ]

null

experiments/produce_images.py

hietalajulius/clothmanip

ec2ee1177d5cf31ee2367c2576c34b9cf3691501

[ "MIT" ]

null

from clothmanip.utils.utils import get_variant, argsparser, get_randomized_env, dump_commit_hashes, get_keys_and_dims, dump_goal from clothmanip.envs.cloth import ClothEnvPickled as ClothEnv import numpy as np from rlkit.torch.sac.policies import TanhGaussianPolicy, MakeDeterministic, TanhScriptPolicy, CustomScriptPolicy, CustomTanhScriptPolicy, ScriptPolicy import cv2 import os from rlkit.envs.wrappers import NormalizedBoxEnv def main(variant): variant['save_folder'] = "/home/julius/robotics/clothmanip/experiments/paper_images" env = ClothEnv(**variant['env_kwargs'], has_viewer=True, save_folder=variant['save_folder']) env = NormalizedBoxEnv(env) env = get_randomized_env(env, variant) keys, dims = get_keys_and_dims(variant, env) demo_path = variant['demo_paths'][0] predefined_actions = np.genfromtxt(demo_path, delimiter=',') iter_folder = os.path.join(variant['save_folder'], "close_no_corners", "0") os.makedirs(os.path.join(iter_folder, "corners_images"), exist_ok=True) #os.makedirs(os.path.join(iter_folder, "env_images"), exist_ok=True) #os.makedirs(os.path.join(iter_folder, "cnn_images"), exist_ok=True) #os.makedirs(os.path.join(iter_folder, "cnn_color_images"), exist_ok=True) #os.makedirs(os.path.join(iter_folder, "cnn_color_full_images"), exist_ok=True) policy = TanhScriptPolicy( output_size=dims['action_dim'], added_fc_input_size=dims['added_fc_input_size'], aux_output_size=9, **variant['policy_kwargs'], ) eval_policy = MakeDeterministic(policy) for step_number, delta in enumerate(predefined_actions): print(step_number) a = delta/env.output_max a = np.clip(a, -1, 1) corner_image, eval_image, cnn_color_image_full, cnn_color_image, cnn_image = env.capture_images(None, mask_type=None) cv2.imwrite(f'{iter_folder}/corners_images/{str(step_number).zfill(3)}.png', corner_image) #cv2.imwrite(f'{iter_folder}/env_images/{str(step_number).zfill(3)}.png', eval_image) #cv2.imwrite(f'{iter_folder}/cnn_images/{str(step_number).zfill(3)}.png', corner_image) #cv2.imwrite(f'{iter_folder}/cnn_color_images/{str(step_number).zfill(3)}.png', cnn_color_image) #cv2.imwrite(f'{iter_folder}/cnn_color_full_images/{str(step_number).zfill(3)}.png', cnn_color_image_full) o, r, d, env_info = env.step(a) if __name__ == "__main__": args = argsparser() variant, arg_str = get_variant(args) main(variant)

39.215385

150

0.723029

from clothmanip.utils.utils import get_variant, argsparser, get_randomized_env, dump_commit_hashes, get_keys_and_dims, dump_goal from clothmanip.envs.cloth import ClothEnvPickled as ClothEnv import numpy as np from rlkit.torch.sac.policies import TanhGaussianPolicy, MakeDeterministic, TanhScriptPolicy, CustomScriptPolicy, CustomTanhScriptPolicy, ScriptPolicy import cv2 import os from rlkit.envs.wrappers import NormalizedBoxEnv def main(variant): variant['save_folder'] = "/home/julius/robotics/clothmanip/experiments/paper_images" env = ClothEnv(**variant['env_kwargs'], has_viewer=True, save_folder=variant['save_folder']) env = NormalizedBoxEnv(env) env = get_randomized_env(env, variant) keys, dims = get_keys_and_dims(variant, env) demo_path = variant['demo_paths'][0] predefined_actions = np.genfromtxt(demo_path, delimiter=',') iter_folder = os.path.join(variant['save_folder'], "close_no_corners", "0") os.makedirs(os.path.join(iter_folder, "corners_images"), exist_ok=True) policy = TanhScriptPolicy( output_size=dims['action_dim'], added_fc_input_size=dims['added_fc_input_size'], aux_output_size=9, **variant['policy_kwargs'], ) eval_policy = MakeDeterministic(policy) for step_number, delta in enumerate(predefined_actions): print(step_number) a = delta/env.output_max a = np.clip(a, -1, 1) corner_image, eval_image, cnn_color_image_full, cnn_color_image, cnn_image = env.capture_images(None, mask_type=None) cv2.imwrite(f'{iter_folder}/corners_images/{str(step_number).zfill(3)}.png', corner_image) o, r, d, env_info = env.step(a) if __name__ == "__main__": args = argsparser() variant, arg_str = get_variant(args) main(variant)

true

f70d969e2bf0cf36ad855ee81686eb3925662821

482

py

Python

exercises/en/solution_03_09_01.py

Jette16/spacy-course

32df0c8f6192de6c9daba89740a28c0537e4d6a0

[ "MIT" ]

2,085

2019-04-17T13:10:40.000Z

2022-03-30T21:51:46.000Z

exercises/en/solution_03_09_01.py

Jette16/spacy-course

32df0c8f6192de6c9daba89740a28c0537e4d6a0

[ "MIT" ]

79

2019-04-18T14:42:55.000Z

2022-03-07T08:15:43.000Z

exercises/en/solution_03_09_01.py

Jette16/spacy-course

32df0c8f6192de6c9daba89740a28c0537e4d6a0

[ "MIT" ]

361

2019-04-17T13:34:32.000Z

2022-03-28T04:42:45.000Z

from spacy.lang.en import English from spacy.tokens import Token nlp = English() # Register the Token extension attribute "is_country" with the default value False Token.set_extension("is_country", default=False) # Process the text and set the is_country attribute to True for the token "Spain" doc = nlp("I live in Spain.") doc[3]._.is_country = True # Print the token text and the is_country attribute for all tokens print([(token.text, token._.is_country) for token in doc])

32.133333

82

0.767635

from spacy.lang.en import English from spacy.tokens import Token nlp = English() Token.set_extension("is_country", default=False) doc = nlp("I live in Spain.") doc[3]._.is_country = True print([(token.text, token._.is_country) for token in doc])

true

f70d96bce35013ac957938e048f02f5425a2e2f2

569

bzl

Python

example/third_party/org_eclipse_jgit.bzl

wix-playground/rules_maven_third_party

ff0b486df194779d7d8e6c9102cd12138e3305c3

[ "Apache-2.0" ]

null

example/third_party/org_eclipse_jgit.bzl

wix-playground/rules_maven_third_party

ff0b486df194779d7d8e6c9102cd12138e3305c3

[ "Apache-2.0" ]

null

example/third_party/org_eclipse_jgit.bzl

wix-playground/rules_maven_third_party

ff0b486df194779d7d8e6c9102cd12138e3305c3

[ "Apache-2.0" ]

null

load("@rules_maven_third_party//:import_external.bzl", import_external = "import_external") def dependencies(): import_external( name = "org_eclipse_jgit_org_eclipse_jgit", artifact = "org.eclipse.jgit:org.eclipse.jgit:5.11.0.202103091610-r", artifact_sha256 = "b0f012105d67729a67c7fde546b6e89580f7ddc5bd73c6c7bae7084c50e36a37", srcjar_sha256 = "23b4f2debe38b2e18cb925ada6639eb78cc029243060f8f8c080ba3e0e70ab71", deps = [ "@com_googlecode_javaewah_JavaEWAH", "@org_slf4j_slf4j_api", ], )

40.642857

93

0.713533

load("@rules_maven_third_party//:import_external.bzl", import_external = "import_external") def dependencies(): import_external( name = "org_eclipse_jgit_org_eclipse_jgit", artifact = "org.eclipse.jgit:org.eclipse.jgit:5.11.0.202103091610-r", artifact_sha256 = "b0f012105d67729a67c7fde546b6e89580f7ddc5bd73c6c7bae7084c50e36a37", srcjar_sha256 = "23b4f2debe38b2e18cb925ada6639eb78cc029243060f8f8c080ba3e0e70ab71", deps = [ "@com_googlecode_javaewah_JavaEWAH", "@org_slf4j_slf4j_api", ], )

true

f70d97557a7fce5e61b5bf6370cefe3820b37663

5,603

py

Python

models/image_classification/inception/inception_resnet.py

tensorize/models

453165bc0cb2ed7bc1136f038458503aee6fccc3

[ "Apache-2.0" ]

null

models/image_classification/inception/inception_resnet.py

tensorize/models

453165bc0cb2ed7bc1136f038458503aee6fccc3

[ "Apache-2.0" ]

null

models/image_classification/inception/inception_resnet.py

tensorize/models

453165bc0cb2ed7bc1136f038458503aee6fccc3

[ "Apache-2.0" ]

null

from tensorize import * class InceptionResnetV1(Model): def inference(self, inputs, output): stem(inputs, outputs) for x in xrange(4): inceptionA() reductionA() for x in xrange(7): inceptionB() reductionB() for x in xrange(3): inceptionC() AveragePooling() Dropout(0.8) CategoricalPredictionOutput(output) def train(self, outputs): CategoricalCrossEntropy() CategoricalAccuracy(outputs) GradientDescentOptimizer() class InceptionResnetV2(Model): def inference(self, inputs, output): stem(inputs, outputs) for x in xrange(4): inceptionA() reductionA() for x in xrange(7): inceptionB() reductionB() for x in xrange(3): inceptionC() AveragePooling() Dropout(0.8) CategoricalPredictionOutput(output) def train(self, outputs): CategoricalCrossEntropy() CategoricalAccuracy(outputs) GradientDescentOptimizer() def stem(inputs, outputs): BatchImageInput(inputs) Convolution3x3(filters=32) Convolution3x3(filters=32) Convolution3x3(filters=64) with ParallelBlock() as parallel: with parallel: MaxPooling2D() with parallel: Convolution3x3(filters=64) FilterConcat() with ParallelBlock() as parallel: with parallel: Convolution1x1(filters=64) Convolution3x3(filters=96) with parallel: Convolution1x1(filters=64) Convolution2D([7, 1], filters=64) Convolution2D([1, 7], filters=64) Convolution3x3(filters=96) FilterConcat() with ParallelBlock() as block: with block: MaxPooling2D() with block: Convolution3x3(filters=64) FilterConcat() def inceptionA(): with ParallelBlock() as parallel: with parallel: AveragePooling() Convolution1x1(filters=96) with parallel: Convolution1x1(filters=96) with parallel: Convolution1x1(filters=64) Convolution3x3(filters=96) with parallel: Convolution1x1(filters=64) Convolution3x3(filters=96) Convolution3x3(filters=96) FilterConcat() def inceptionB(): with ParallelBlock() as parallel: with parallel: AveragePooling() Convolution1x1(filters=128) with parallel: Convolution1x1(filters=384) with parallel: Convolution1x1(filters=192) Convolution2D([1, 7], filters=224) Convolution2D([1, 7], filters=256) with parallel: Convolution1x1(filters=192) Convolution2D([1, 7], filters=192) Convolution2D([7, 1], filters=224) Convolution2D([1, 7], filters=224) Convolution2D([7, 1], filters=256) FilterConcat() def inceptionC(): with ParallelBlock() as parallel: with parallel: AveragePooling() Convolution1x1(filters=256) with parallel: Convolution1x1(filters=256) with parallel: Convolution1x1(filters=384) with ParallelBlock() as parallel_inner: with parallel_inner: Convolution2D([1, 3], filters=256) with parallel_inner: Convolution2D([3, 1], filters=256) with parallel: Convolution1x1(filters=384) Convolution2D([1, 3], filters=384) Convolution2D([3, 1], filters=512) FilterConcat() def reduceA(n, l, k, m): with ParallelBlock() as parallel: with parallel: MaxPooling2D([3, 3]) with parallel: Convolution3x3(n) with parallel: Convolution1x1(filters=k) Convolution3x3(filters=l) Convolution3x3(filters=m) FilterConcat() def reduceB(): with ParallelBlock() as parallel: with parallel: MaxPooling2D([3, 3], stride=2) with parallel: Convolution1x1(192) Convolution3x3(192) with parallel: Convolution1x1(filters=256) Convolution2D([1, 7], filters=256) Convolution2D([7, 1], filters=320) Convolution3x3(filters=320, stride=2) FilterConcat() def inceptionResnetA(): RectifiedLinearUnit() with ParallelBlock() as parallel: with parallel: with ParallelBlock() as parallel_inner: with parallel_inner: Convolution1x1(32) with parallel_inner: Convolution1x1(32) Convolution3x3(32) with parallel_inner: Convolution1x1(32) Convolution3x3(32) Convolution3x3(32) Convolution1x1(filters=256) Sum() def inceptionResnetB(): RectifiedLinearUnit() with ParallelBlock() as parallel: with parallel: with ParallelBlock() as parallel_inner: with parallel_inner: Convolution1x1(128) with parallel_inner: Convolution1x1(128) Convolution2D([1, 7], filters=128) Convolution2D([7, 1], filters=128) Convolution1x1(filters=896) Sum()

23.248963

54

0.557558

from tensorize import * class InceptionResnetV1(Model): def inference(self, inputs, output): stem(inputs, outputs) for x in xrange(4): inceptionA() reductionA() for x in xrange(7): inceptionB() reductionB() for x in xrange(3): inceptionC() AveragePooling() Dropout(0.8) CategoricalPredictionOutput(output) def train(self, outputs): CategoricalCrossEntropy() CategoricalAccuracy(outputs) GradientDescentOptimizer() class InceptionResnetV2(Model): def inference(self, inputs, output): stem(inputs, outputs) for x in xrange(4): inceptionA() reductionA() for x in xrange(7): inceptionB() reductionB() for x in xrange(3): inceptionC() AveragePooling() Dropout(0.8) CategoricalPredictionOutput(output) def train(self, outputs): CategoricalCrossEntropy() CategoricalAccuracy(outputs) GradientDescentOptimizer() def stem(inputs, outputs): BatchImageInput(inputs) Convolution3x3(filters=32) Convolution3x3(filters=32) Convolution3x3(filters=64) with ParallelBlock() as parallel: with parallel: MaxPooling2D() with parallel: Convolution3x3(filters=64) FilterConcat() with ParallelBlock() as parallel: with parallel: Convolution1x1(filters=64) Convolution3x3(filters=96) with parallel: Convolution1x1(filters=64) Convolution2D([7, 1], filters=64) Convolution2D([1, 7], filters=64) Convolution3x3(filters=96) FilterConcat() with ParallelBlock() as block: with block: MaxPooling2D() with block: Convolution3x3(filters=64) FilterConcat() def inceptionA(): with ParallelBlock() as parallel: with parallel: AveragePooling() Convolution1x1(filters=96) with parallel: Convolution1x1(filters=96) with parallel: Convolution1x1(filters=64) Convolution3x3(filters=96) with parallel: Convolution1x1(filters=64) Convolution3x3(filters=96) Convolution3x3(filters=96) FilterConcat() def inceptionB(): with ParallelBlock() as parallel: with parallel: AveragePooling() Convolution1x1(filters=128) with parallel: Convolution1x1(filters=384) with parallel: Convolution1x1(filters=192) Convolution2D([1, 7], filters=224) Convolution2D([1, 7], filters=256) with parallel: Convolution1x1(filters=192) Convolution2D([1, 7], filters=192) Convolution2D([7, 1], filters=224) Convolution2D([1, 7], filters=224) Convolution2D([7, 1], filters=256) FilterConcat() def inceptionC(): with ParallelBlock() as parallel: with parallel: AveragePooling() Convolution1x1(filters=256) with parallel: Convolution1x1(filters=256) with parallel: Convolution1x1(filters=384) with ParallelBlock() as parallel_inner: with parallel_inner: Convolution2D([1, 3], filters=256) with parallel_inner: Convolution2D([3, 1], filters=256) with parallel: Convolution1x1(filters=384) Convolution2D([1, 3], filters=384) Convolution2D([3, 1], filters=512) FilterConcat() def reduceA(n, l, k, m): with ParallelBlock() as parallel: with parallel: MaxPooling2D([3, 3]) with parallel: Convolution3x3(n) with parallel: Convolution1x1(filters=k) Convolution3x3(filters=l) Convolution3x3(filters=m) FilterConcat() def reduceB(): with ParallelBlock() as parallel: with parallel: MaxPooling2D([3, 3], stride=2) with parallel: Convolution1x1(192) Convolution3x3(192) with parallel: Convolution1x1(filters=256) Convolution2D([1, 7], filters=256) Convolution2D([7, 1], filters=320) Convolution3x3(filters=320, stride=2) FilterConcat() def inceptionResnetA(): RectifiedLinearUnit() with ParallelBlock() as parallel: with parallel: with ParallelBlock() as parallel_inner: with parallel_inner: Convolution1x1(32) with parallel_inner: Convolution1x1(32) Convolution3x3(32) with parallel_inner: Convolution1x1(32) Convolution3x3(32) Convolution3x3(32) Convolution1x1(filters=256) Sum() def inceptionResnetB(): RectifiedLinearUnit() with ParallelBlock() as parallel: with parallel: with ParallelBlock() as parallel_inner: with parallel_inner: Convolution1x1(128) with parallel_inner: Convolution1x1(128) Convolution2D([1, 7], filters=128) Convolution2D([7, 1], filters=128) Convolution1x1(filters=896) Sum()

true

f70d975dbe2f348e5ab72227d7ff4eef71b35806

2,934

py

Python

django/core/files/temp.py

indevgr/django

0247c9b08f8da4a2d93b9cede6c615011552b55a

[ "PSF-2.0", "BSD-3-Clause" ]

1

2016-05-22T08:25:51.000Z

django/core/files/temp.py

indevgr/django

0247c9b08f8da4a2d93b9cede6c615011552b55a

[ "PSF-2.0", "BSD-3-Clause" ]

null

django/core/files/temp.py

indevgr/django

0247c9b08f8da4a2d93b9cede6c615011552b55a

[ "PSF-2.0", "BSD-3-Clause" ]

1

2016-04-21T11:47:46.000Z

""" The temp module provides a NamedTemporaryFile that can be reopened in the same process on any platform. Most platforms use the standard Python tempfile.NamedTemporaryFile class, but Windows users are given a custom class. This is needed because the Python implementation of NamedTemporaryFile uses the O_TEMPORARY flag under Windows, which prevents the file from being reopened if the same flag is not provided [1][2]. Note that this does not address the more general issue of opening a file for writing and reading in multiple processes in a manner that works across platforms. Also note that the custom version of NamedTemporaryFile does not support the full range of keyword arguments available in Python 2.6+ and 3.0+. 1: https://mail.python.org/pipermail/python-list/2005-December/336958.html 2: http://bugs.python.org/issue14243 """ import os import tempfile from django.core.files.utils import FileProxyMixin __all__ = ('NamedTemporaryFile', 'gettempdir',) if os.name == 'nt': class TemporaryFile(FileProxyMixin): """ Temporary file object constructor that supports reopening of the temporary file in Windows. Note that unlike tempfile.NamedTemporaryFile from the standard library, __init__() does not support the 'delete' keyword argument in Python 2.6+, or the 'delete', 'buffering', 'encoding', or 'newline' keyword arguments in Python 3.0+. """ def __init__(self, mode='w+b', bufsize=-1, suffix='', prefix='', dir=None): fd, name = tempfile.mkstemp(suffix=suffix, prefix=prefix, dir=dir) self.name = name self.file = os.fdopen(fd, mode, bufsize) self.close_called = False # Because close can be called during shutdown # we need to cache os.unlink and access it # as self.unlink only unlink = os.unlink def close(self): if not self.close_called: self.close_called = True try: self.file.close() except (OSError, IOError): pass try: self.unlink(self.name) except (OSError): pass @property def closed(self): """ This attribute needs to be accessible in certain situations, because this class is supposed to mock the API of the class tempfile.NamedTemporaryFile in the Python standard library. """ return self.file.closed def __del__(self): self.close() def __enter__(self): self.file.__enter__() return self def __exit__(self, exc, value, tb): self.file.__exit__(exc, value, tb) NamedTemporaryFile = TemporaryFile else: NamedTemporaryFile = tempfile.NamedTemporaryFile gettempdir = tempfile.gettempdir

34.517647

83

0.644172

import os import tempfile from django.core.files.utils import FileProxyMixin __all__ = ('NamedTemporaryFile', 'gettempdir',) if os.name == 'nt': class TemporaryFile(FileProxyMixin): def __init__(self, mode='w+b', bufsize=-1, suffix='', prefix='', dir=None): fd, name = tempfile.mkstemp(suffix=suffix, prefix=prefix, dir=dir) self.name = name self.file = os.fdopen(fd, mode, bufsize) self.close_called = False unlink = os.unlink def close(self): if not self.close_called: self.close_called = True try: self.file.close() except (OSError, IOError): pass try: self.unlink(self.name) except (OSError): pass @property def closed(self): return self.file.closed def __del__(self): self.close() def __enter__(self): self.file.__enter__() return self def __exit__(self, exc, value, tb): self.file.__exit__(exc, value, tb) NamedTemporaryFile = TemporaryFile else: NamedTemporaryFile = tempfile.NamedTemporaryFile gettempdir = tempfile.gettempdir

true

f70d988d5ed014b8b9c619af3b5473012ca3b7cd

2,041

py

Python

tokenswap/app/__init__.py

trinity-project/trinity

081eba1d4294a3bed33ba18c3f7b862b8803ee22

[ "MIT" ]

60

2018-01-12T07:33:15.000Z

2021-12-28T23:06:28.000Z

tokenswap/app/__init__.py

trinity-project/trinity

081eba1d4294a3bed33ba18c3f7b862b8803ee22

[ "MIT" ]

13

2018-01-23T00:14:35.000Z

2020-04-23T00:03:31.000Z

tokenswap/app/__init__.py

trinity-project/trinity

081eba1d4294a3bed33ba18c3f7b862b8803ee22

[ "MIT" ]

13

2018-01-05T07:27:29.000Z

2021-01-06T16:45:05.000Z

# -*- coding: utf-8 -*- __author__ = 'xu' import os from functools import wraps from flask import Flask, Blueprint, jsonify from flask_peewee.db import Database from flask_peewee.auth import Auth from flask_debugtoolbar import DebugToolbarExtension from flask_mail import Mail from flask_login import LoginManager from flask_restful import Api app = Flask(__name__) APP_ENV = 'dev' if not os.environ.has_key('APP_ENV') or os.environ['APP_ENV'].lower() == 'dev': print 'Running on Dev Env:' app.config.from_object('config') elif os.environ['APP_ENV'].lower() in ('prod', 'test'): print 'Running on %s Env:' %os.environ['APP_ENV'].upper() app.config.from_object('config') app.config.from_object('config_' + os.environ['APP_ENV'].lower()) APP_ENV = os.environ['APP_ENV'].lower() else: print 'Wrong Env!' exit(1) app.config["APP_ENV"] = APP_ENV if not os.environ.has_key("VERIFY_HEADER_NAME") or not os.environ.has_key("VERIFY_PASSWORD") or not os.environ.has_key("VERIFY_HASHED"): print 'Wrong Env!' exit(1) app.config["API_VERIFY"] = { "verify_header": os.environ['VERIFY_HEADER_NAME'], "password": os.environ["VERIFY_PASSWORD"], "hashed": os.environ["VERIFY_HASHED"].replace("*", "$") } # print app.config["API_VERIFY"] #db db = Database(app) auth = Auth(app, db) toolbar = DebugToolbarExtension(app) mail = Mail(app) import models import utils utils.create_tables() import views # from api import ApiReset, ApiRegister, ApiLogin # api_bp = Blueprint('api', __name__, url_prefix="/api") # api = Api(api_bp, default_mediatype='application/json') # resource_class_kwargs = {"models": models, "utils": utils} # api.add_resource( # ApiLogin, # '/v1.0/login', # resource_class_kwargs=resource_class_kwargs # ) # api.add_resource( # ApiRegister, # '/v1.0/register', # resource_class_kwargs=resource_class_kwargs # ) # api.add_resource( # ApiReset, # '/v1.0/reset', # resource_class_kwargs=resource_class_kwargs # ) # app.register_blueprint(api_bp)

27.213333

136

0.709456

__author__ = 'xu' import os from functools import wraps from flask import Flask, Blueprint, jsonify from flask_peewee.db import Database from flask_peewee.auth import Auth from flask_debugtoolbar import DebugToolbarExtension from flask_mail import Mail from flask_login import LoginManager from flask_restful import Api app = Flask(__name__) APP_ENV = 'dev' if not os.environ.has_key('APP_ENV') or os.environ['APP_ENV'].lower() == 'dev': print 'Running on Dev Env:' app.config.from_object('config') elif os.environ['APP_ENV'].lower() in ('prod', 'test'): print 'Running on %s Env:' %os.environ['APP_ENV'].upper() app.config.from_object('config') app.config.from_object('config_' + os.environ['APP_ENV'].lower()) APP_ENV = os.environ['APP_ENV'].lower() else: print 'Wrong Env!' exit(1) app.config["APP_ENV"] = APP_ENV if not os.environ.has_key("VERIFY_HEADER_NAME") or not os.environ.has_key("VERIFY_PASSWORD") or not os.environ.has_key("VERIFY_HASHED"): print 'Wrong Env!' exit(1) app.config["API_VERIFY"] = { "verify_header": os.environ['VERIFY_HEADER_NAME'], "password": os.environ["VERIFY_PASSWORD"], "hashed": os.environ["VERIFY_HASHED"].replace("*", "$") } db = Database(app) auth = Auth(app, db) toolbar = DebugToolbarExtension(app) mail = Mail(app) import models import utils utils.create_tables() import views

false

true

f70d989095a9c5a971fdea4aa937edd891c61ae0

7,009

py

Python

python/cendalytics/report/core/dmo/ranking_report_writer.py

jiportilla/ontology

8a66bb7f76f805c64fc76cfc40ab7dfbc1146f40

[ "MIT" ]

null

python/cendalytics/report/core/dmo/ranking_report_writer.py

jiportilla/ontology

8a66bb7f76f805c64fc76cfc40ab7dfbc1146f40

[ "MIT" ]

null

python/cendalytics/report/core/dmo/ranking_report_writer.py

jiportilla/ontology

8a66bb7f76f805c64fc76cfc40ab7dfbc1146f40

[ "MIT" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- from openpyxl.worksheet.worksheet import Worksheet COLUMNS = {"A": 20, "B": 10, "C": 10, "D": 10, "E": 10, "F": 10, "G": 10, "H": 10, "I": 10} class RankingReportWriter(object): def __init__(self, some_excel_worksheet: Worksheet, some_source_dimension: list, some_target_dimensions: list, some_final_ranking: list): """ :param some_excel_worksheet: the excel worksheet to write to """ from . import WorksheetHelper if not some_excel_worksheet: raise ValueError("Mandatory Param: Excel Worksheet") if not some_source_dimension: raise ValueError("Mandatory Param: Source Dimension") if not some_target_dimensions: raise ValueError("Mandatory Param: Target Dimemsion") if not some_final_ranking: raise ValueError("Mandatory Param: Final Ranking") self.worksheet = some_excel_worksheet self.source_dimension = some_source_dimension self.target_dimensions = some_target_dimensions self.final_ranking = some_final_ranking self.helper = WorksheetHelper def _write_value(self, some_column: str, some_row: int, some_text: str, some_named_format: str): """ :param some_column: :param some_row: :param some_text: :param some_named_format: """ cell = "{}{}".format(some_column, some_row) self.worksheet[cell].value = some_text self.worksheet[cell].style = some_named_format def _write_records(self, source_weights: list, source_values: list): """ writes records by row and column """ def _dimension_value(value: str) -> dict: return self.helper.struct(value, "dimension_value_source") def _dimension_weight(value: str) -> dict: return self.helper.struct(value, "dimension_weight_source") def _header_dimension(value: str) -> dict: return self.helper.struct(value, "header_dimension") def _header_other(value: str) -> dict: return self.helper.struct(value, "header_other") def _field_key(value: str) -> dict: return self.helper.struct(value, "keyfield") def _field_weight(value: str) -> dict: return self.helper.struct(value, "field_weight_source") def _field_rank(value: str) -> dict: return self.helper.struct(value, "field_rank") d_row_1 = { "A1": _header_other("Open Seat ID"), "B1": _header_dimension("Cloud"), "C1": _header_dimension("Database"), "D1": _header_dimension("System Administrator"), "E1": _header_dimension("Hard Skill"), "F1": _header_dimension("Project Management"), "G1": _header_dimension("Service Management"), "H1": _header_dimension("Soft Skill"), "I1": _header_other("Rank")} d_row_2 = { "A2": self.helper.struct(self.source_dimension[0]["key_field"], "keyfield_value_source"), "B2": _dimension_value(source_values[0]), "C2": _dimension_value(source_values[1]), "D2": _dimension_value(source_values[6]), "E2": _dimension_value(source_values[2]), "F2": _dimension_value(source_values[3]), "G2": _dimension_value(source_values[4]), "H2": _dimension_value(source_values[5])} d_row_3 = { "A3": self.helper.struct("Weight", "dimension_weight_text"), "B3": _dimension_weight(source_weights[0]), "C3": _dimension_weight(source_weights[1]), "D3": _dimension_weight(source_weights[6]), "E3": _dimension_weight(source_weights[2]), "F3": _dimension_weight(source_weights[3]), "G3": _dimension_weight(source_weights[4]), "H3": _dimension_weight(source_weights[5])} def _field_weight_value(target_dimension: dict, slot_name: str) -> str: return target_dimension["slots"][slot_name]["weight"] l_values = [] for i in range(0, len(self.target_dimensions)): l_values.append({ "A{}".format(i + 5): _field_key( self.target_dimensions[i]["key_field"]), "B{}".format(i + 5): _field_weight( _field_weight_value(self.target_dimensions[i], "cloud")), "C{}".format(i + 5): _field_weight( _field_weight_value(self.target_dimensions[i], "database")), "D{}".format(i + 5): _field_weight( _field_weight_value(self.target_dimensions[i], "system administrator")), "E{}".format(i + 5): _field_weight( _field_weight_value(self.target_dimensions[i], "hard skill")), "F{}".format(i + 5): _field_weight( _field_weight_value(self.target_dimensions[i], "project management")), "G{}".format(i + 5): _field_weight( _field_weight_value(self.target_dimensions[i], "service management")), "H{}".format(i + 5): _field_weight( _field_weight_value(self.target_dimensions[i], "soft skill")), "I{}".format(i + 5): _field_rank( self.final_ranking[i])}) self.helper.generate(self.worksheet, [d_row_1, d_row_2, d_row_3]) self.helper.generate(self.worksheet, l_values) def process(self): """ Processes the logs from the input directory @input: Base directory containing the input and output subdirs. @output: None """ def _weights(some_records: list) -> list: weights = [] for record in some_records: weights.append([record["slots"][x]["weight"] for x in record["slots"]]) return weights def _values(some_records: list) -> list: values = [] for record in some_records: values.append([record["slots"][x]["z_score"] for x in record["slots"]]) return values source_weights = _weights(self.source_dimension)[0] source_values = _values(self.source_dimension)[0] self.helper.column_widths(self.worksheet, COLUMNS) self._write_records(source_weights, source_values)

38.938889

92

0.548723

from openpyxl.worksheet.worksheet import Worksheet COLUMNS = {"A": 20, "B": 10, "C": 10, "D": 10, "E": 10, "F": 10, "G": 10, "H": 10, "I": 10} class RankingReportWriter(object): def __init__(self, some_excel_worksheet: Worksheet, some_source_dimension: list, some_target_dimensions: list, some_final_ranking: list): from . import WorksheetHelper if not some_excel_worksheet: raise ValueError("Mandatory Param: Excel Worksheet") if not some_source_dimension: raise ValueError("Mandatory Param: Source Dimension") if not some_target_dimensions: raise ValueError("Mandatory Param: Target Dimemsion") if not some_final_ranking: raise ValueError("Mandatory Param: Final Ranking") self.worksheet = some_excel_worksheet self.source_dimension = some_source_dimension self.target_dimensions = some_target_dimensions self.final_ranking = some_final_ranking self.helper = WorksheetHelper def _write_value(self, some_column: str, some_row: int, some_text: str, some_named_format: str): cell = "{}{}".format(some_column, some_row) self.worksheet[cell].value = some_text self.worksheet[cell].style = some_named_format def _write_records(self, source_weights: list, source_values: list): def _dimension_value(value: str) -> dict: return self.helper.struct(value, "dimension_value_source") def _dimension_weight(value: str) -> dict: return self.helper.struct(value, "dimension_weight_source") def _header_dimension(value: str) -> dict: return self.helper.struct(value, "header_dimension") def _header_other(value: str) -> dict: return self.helper.struct(value, "header_other") def _field_key(value: str) -> dict: return self.helper.struct(value, "keyfield") def _field_weight(value: str) -> dict: return self.helper.struct(value, "field_weight_source") def _field_rank(value: str) -> dict: return self.helper.struct(value, "field_rank") d_row_1 = { "A1": _header_other("Open Seat ID"), "B1": _header_dimension("Cloud"), "C1": _header_dimension("Database"), "D1": _header_dimension("System Administrator"), "E1": _header_dimension("Hard Skill"), "F1": _header_dimension("Project Management"), "G1": _header_dimension("Service Management"), "H1": _header_dimension("Soft Skill"), "I1": _header_other("Rank")} d_row_2 = { "A2": self.helper.struct(self.source_dimension[0]["key_field"], "keyfield_value_source"), "B2": _dimension_value(source_values[0]), "C2": _dimension_value(source_values[1]), "D2": _dimension_value(source_values[6]), "E2": _dimension_value(source_values[2]), "F2": _dimension_value(source_values[3]), "G2": _dimension_value(source_values[4]), "H2": _dimension_value(source_values[5])} d_row_3 = { "A3": self.helper.struct("Weight", "dimension_weight_text"), "B3": _dimension_weight(source_weights[0]), "C3": _dimension_weight(source_weights[1]), "D3": _dimension_weight(source_weights[6]), "E3": _dimension_weight(source_weights[2]), "F3": _dimension_weight(source_weights[3]), "G3": _dimension_weight(source_weights[4]), "H3": _dimension_weight(source_weights[5])} def _field_weight_value(target_dimension: dict, slot_name: str) -> str: return target_dimension["slots"][slot_name]["weight"] l_values = [] for i in range(0, len(self.target_dimensions)): l_values.append({ "A{}".format(i + 5): _field_key( self.target_dimensions[i]["key_field"]), "B{}".format(i + 5): _field_weight( _field_weight_value(self.target_dimensions[i], "cloud")), "C{}".format(i + 5): _field_weight( _field_weight_value(self.target_dimensions[i], "database")), "D{}".format(i + 5): _field_weight( _field_weight_value(self.target_dimensions[i], "system administrator")), "E{}".format(i + 5): _field_weight( _field_weight_value(self.target_dimensions[i], "hard skill")), "F{}".format(i + 5): _field_weight( _field_weight_value(self.target_dimensions[i], "project management")), "G{}".format(i + 5): _field_weight( _field_weight_value(self.target_dimensions[i], "service management")), "H{}".format(i + 5): _field_weight( _field_weight_value(self.target_dimensions[i], "soft skill")), "I{}".format(i + 5): _field_rank( self.final_ranking[i])}) self.helper.generate(self.worksheet, [d_row_1, d_row_2, d_row_3]) self.helper.generate(self.worksheet, l_values) def process(self): def _weights(some_records: list) -> list: weights = [] for record in some_records: weights.append([record["slots"][x]["weight"] for x in record["slots"]]) return weights def _values(some_records: list) -> list: values = [] for record in some_records: values.append([record["slots"][x]["z_score"] for x in record["slots"]]) return values source_weights = _weights(self.source_dimension)[0] source_values = _values(self.source_dimension)[0] self.helper.column_widths(self.worksheet, COLUMNS) self._write_records(source_weights, source_values)

true

f70d98c16626cf822bb3cda9eb6e1159f8a17a26

393

py

Python

news-headlines/initselenium.py

OlegDurandin/Crawlers

ab9fbe7aaec43b5251762f1a04e624d440e4b0d9

[ "MIT" ]

null

news-headlines/initselenium.py

OlegDurandin/Crawlers

ab9fbe7aaec43b5251762f1a04e624d440e4b0d9

[ "MIT" ]

null

news-headlines/initselenium.py

OlegDurandin/Crawlers

ab9fbe7aaec43b5251762f1a04e624d440e4b0d9

[ "MIT" ]

null

from selenium import webdriver from selenium.common.exceptions import NoSuchElementException def selenium_initializer(): options = webdriver.ChromeOptions() options.add_argument('--ignore-certificate-errors') options.add_argument('--ignore-ssl-errors') driver = webdriver.Chrome('../chromedriver', chrome_options=options) return driver if __name__ == "__main__": pass

32.75

72

0.760814

from selenium import webdriver from selenium.common.exceptions import NoSuchElementException def selenium_initializer(): options = webdriver.ChromeOptions() options.add_argument('--ignore-certificate-errors') options.add_argument('--ignore-ssl-errors') driver = webdriver.Chrome('../chromedriver', chrome_options=options) return driver if __name__ == "__main__": pass

true

f70d9934f9a74adb2b61765bbae200c7051d841e

1,141

py

Python

autogit/main.py

quintenroets/gitmanager

bfe131bd23ccaaa37ad6624112fe465adff1fda0

[ "MIT" ]

null

autogit/main.py

quintenroets/gitmanager

bfe131bd23ccaaa37ad6624112fe465adff1fda0

[ "MIT" ]

null

autogit/main.py

quintenroets/gitmanager

bfe131bd23ccaaa37ad6624112fe465adff1fda0

[ "MIT" ]

null

import argparse def install(*args): from .installer import Installer # noqa: autoimport Installer.install(*args) def clone(*args): from .installer import Installer # noqa: autoimport Installer.clone(*args) def refresh(do_pull=False): from .repomanager import RepoManager # noqa: autoimport RepoManager.refresh(do_pull=do_pull) def run_hooks(): from .repomanager import RepoManager # noqa: autoimport RepoManager.run_hooks() def main(): parser = argparse.ArgumentParser(description="Automate common git workflows") parser.add_argument("action", nargs="?", help="The action to do", default="refresh") parser.add_argument("names", nargs="*", help="repository names") args = parser.parse_args() action_mapper = { "refresh": refresh, "clone": clone, "install": install, "pull": lambda: refresh(do_pull=True), "hooks": run_hooks, } if args.action not in action_mapper: raise Exception(f"{args.action} not defined") action = action_mapper[args.action] action(*args.names) if __name__ == "__main__": main()

22.82

88

0.668712

import argparse def install(*args): from .installer import Installer Installer.install(*args) def clone(*args): from .installer import Installer Installer.clone(*args) def refresh(do_pull=False): from .repomanager import RepoManager RepoManager.refresh(do_pull=do_pull) def run_hooks(): from .repomanager import RepoManager RepoManager.run_hooks() def main(): parser = argparse.ArgumentParser(description="Automate common git workflows") parser.add_argument("action", nargs="?", help="The action to do", default="refresh") parser.add_argument("names", nargs="*", help="repository names") args = parser.parse_args() action_mapper = { "refresh": refresh, "clone": clone, "install": install, "pull": lambda: refresh(do_pull=True), "hooks": run_hooks, } if args.action not in action_mapper: raise Exception(f"{args.action} not defined") action = action_mapper[args.action] action(*args.names) if __name__ == "__main__": main()

true

f70d99476357b7a92f0400eda44cc0bffb1a4c42

2,231

py

Python

linum/layer_list.py

chabErch/Linum

e32ec01f0b43cfb03fd33ad90cf25df9a0c6565f

[ "MIT" ]

null

linum/layer_list.py

chabErch/Linum

e32ec01f0b43cfb03fd33ad90cf25df9a0c6565f

[ "MIT" ]

null

linum/layer_list.py

chabErch/Linum

e32ec01f0b43cfb03fd33ad90cf25df9a0c6565f

[ "MIT" ]

null

from datetime import date from typing import List, Tuple, Optional from linum.exceptions import IntersectionException from linum.layer import Layer from linum.task_part import TaskPart class LayerList: def __init__(self, layers: Optional[List[Layer]] = None): """ Массив слоев. :param layers: слои для добавления в список """ self.layers = layers or [] def __repr__(self): return "<LayerList with {} layer(s)>".format(len(self.layers)) def __eq__(self, other): if not isinstance(other, LayerList): return False return self.layers == other.layers def __getitem__(self, item): return self.layers[item] def __bool__(self): if not self.layers: return False for layer in self.layers: if layer: return True return False def split(self, split_date: date) -> Tuple['LayerList', 'LayerList']: """ Функция разделения списка слоев на два относительно указанной даты. :param split_date: date :return: """ list_before = LayerList() list_after = LayerList() for layer in self.layers: layer_before, layer_after = layer.split(split_date) list_before.layers.append(layer_before) list_after.layers.append(layer_after) return list_before, list_after def add_task_part(self, task_part: TaskPart): """ Добавление кусочка задачи в список слоев. Если есть свободное место в текущих слоях, то кусочек добавится к ним. Если свободного места нет, то список слоев расширится на один слой и кусочек задачи будет помещен на этот новый слой. :param task_part: кусочек задачи для добавления """ for layer in self.layers: try: layer.append(task_part) return except IntersectionException: pass layer = Layer([task_part]) self.layers.append(layer) def cleanup(self): layers = [] for layer in self.layers: if layer: layers.append(layer) self.layers = layers

28.240506

78

0.603765

from datetime import date from typing import List, Tuple, Optional from linum.exceptions import IntersectionException from linum.layer import Layer from linum.task_part import TaskPart class LayerList: def __init__(self, layers: Optional[List[Layer]] = None): self.layers = layers or [] def __repr__(self): return "<LayerList with {} layer(s)>".format(len(self.layers)) def __eq__(self, other): if not isinstance(other, LayerList): return False return self.layers == other.layers def __getitem__(self, item): return self.layers[item] def __bool__(self): if not self.layers: return False for layer in self.layers: if layer: return True return False def split(self, split_date: date) -> Tuple['LayerList', 'LayerList']: list_before = LayerList() list_after = LayerList() for layer in self.layers: layer_before, layer_after = layer.split(split_date) list_before.layers.append(layer_before) list_after.layers.append(layer_after) return list_before, list_after def add_task_part(self, task_part: TaskPart): for layer in self.layers: try: layer.append(task_part) return except IntersectionException: pass layer = Layer([task_part]) self.layers.append(layer) def cleanup(self): layers = [] for layer in self.layers: if layer: layers.append(layer) self.layers = layers

true

f70d99f39179924a992e9bdff97d615e2b14ab03

96,559

py

Python

tests/unit/gapic/dialogflow_v2/test_versions.py

googleapis/dialogflow-python-client-v2

069c71e296c94b5e1bcfb9be2abeadd7c44dcf3d

[ "Apache-2.0" ]

171

2018-09-19T21:16:18.000Z

2020-12-07T17:41:10.000Z

tests/unit/gapic/dialogflow_v2/test_versions.py

googleapis/dialogflow-python-client-v2

069c71e296c94b5e1bcfb9be2abeadd7c44dcf3d

[ "Apache-2.0" ]

150

2018-09-25T14:04:28.000Z

2020-12-09T21:45:43.000Z

tests/unit/gapic/dialogflow_v2/test_versions.py

googleapis/dialogflow-python-client-v2

069c71e296c94b5e1bcfb9be2abeadd7c44dcf3d

[ "Apache-2.0" ]

75

2018-09-22T14:12:18.000Z

2020-12-08T07:12:12.000Z

# -*- coding: utf-8 -*- # Copyright 2022 Google LLC # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # import os # try/except added for compatibility with python < 3.8 try: from unittest import mock from unittest.mock import AsyncMock except ImportError: import mock import grpc from grpc.experimental import aio import math import pytest from proto.marshal.rules.dates import DurationRule, TimestampRule from google.api_core import client_options from google.api_core import exceptions as core_exceptions from google.api_core import gapic_v1 from google.api_core import grpc_helpers from google.api_core import grpc_helpers_async from google.api_core import path_template from google.auth import credentials as ga_credentials from google.auth.exceptions import MutualTLSChannelError from google.cloud.dialogflow_v2.services.versions import VersionsAsyncClient from google.cloud.dialogflow_v2.services.versions import VersionsClient from google.cloud.dialogflow_v2.services.versions import pagers from google.cloud.dialogflow_v2.services.versions import transports from google.cloud.dialogflow_v2.types import version from google.cloud.dialogflow_v2.types import version as gcd_version from google.oauth2 import service_account from google.protobuf import field_mask_pb2 # type: ignore from google.protobuf import timestamp_pb2 # type: ignore import google.auth def client_cert_source_callback(): return b"cert bytes", b"key bytes" # If default endpoint is localhost, then default mtls endpoint will be the same. # This method modifies the default endpoint so the client can produce a different # mtls endpoint for endpoint testing purposes. def modify_default_endpoint(client): return ( "foo.googleapis.com" if ("localhost" in client.DEFAULT_ENDPOINT) else client.DEFAULT_ENDPOINT ) def test__get_default_mtls_endpoint(): api_endpoint = "example.googleapis.com" api_mtls_endpoint = "example.mtls.googleapis.com" sandbox_endpoint = "example.sandbox.googleapis.com" sandbox_mtls_endpoint = "example.mtls.sandbox.googleapis.com" non_googleapi = "api.example.com" assert VersionsClient._get_default_mtls_endpoint(None) is None assert VersionsClient._get_default_mtls_endpoint(api_endpoint) == api_mtls_endpoint assert ( VersionsClient._get_default_mtls_endpoint(api_mtls_endpoint) == api_mtls_endpoint ) assert ( VersionsClient._get_default_mtls_endpoint(sandbox_endpoint) == sandbox_mtls_endpoint ) assert ( VersionsClient._get_default_mtls_endpoint(sandbox_mtls_endpoint) == sandbox_mtls_endpoint ) assert VersionsClient._get_default_mtls_endpoint(non_googleapi) == non_googleapi @pytest.mark.parametrize( "client_class,transport_name", [ (VersionsClient, "grpc"), (VersionsAsyncClient, "grpc_asyncio"), ], ) def test_versions_client_from_service_account_info(client_class, transport_name): creds = ga_credentials.AnonymousCredentials() with mock.patch.object( service_account.Credentials, "from_service_account_info" ) as factory: factory.return_value = creds info = {"valid": True} client = client_class.from_service_account_info(info, transport=transport_name) assert client.transport._credentials == creds assert isinstance(client, client_class) assert client.transport._host == ("dialogflow.googleapis.com:443") @pytest.mark.parametrize( "transport_class,transport_name", [ (transports.VersionsGrpcTransport, "grpc"), (transports.VersionsGrpcAsyncIOTransport, "grpc_asyncio"), ], ) def test_versions_client_service_account_always_use_jwt( transport_class, transport_name ): with mock.patch.object( service_account.Credentials, "with_always_use_jwt_access", create=True ) as use_jwt: creds = service_account.Credentials(None, None, None) transport = transport_class(credentials=creds, always_use_jwt_access=True) use_jwt.assert_called_once_with(True) with mock.patch.object( service_account.Credentials, "with_always_use_jwt_access", create=True ) as use_jwt: creds = service_account.Credentials(None, None, None) transport = transport_class(credentials=creds, always_use_jwt_access=False) use_jwt.assert_not_called() @pytest.mark.parametrize( "client_class,transport_name", [ (VersionsClient, "grpc"), (VersionsAsyncClient, "grpc_asyncio"), ], ) def test_versions_client_from_service_account_file(client_class, transport_name): creds = ga_credentials.AnonymousCredentials() with mock.patch.object( service_account.Credentials, "from_service_account_file" ) as factory: factory.return_value = creds client = client_class.from_service_account_file( "dummy/file/path.json", transport=transport_name ) assert client.transport._credentials == creds assert isinstance(client, client_class) client = client_class.from_service_account_json( "dummy/file/path.json", transport=transport_name ) assert client.transport._credentials == creds assert isinstance(client, client_class) assert client.transport._host == ("dialogflow.googleapis.com:443") def test_versions_client_get_transport_class(): transport = VersionsClient.get_transport_class() available_transports = [ transports.VersionsGrpcTransport, ] assert transport in available_transports transport = VersionsClient.get_transport_class("grpc") assert transport == transports.VersionsGrpcTransport @pytest.mark.parametrize( "client_class,transport_class,transport_name", [ (VersionsClient, transports.VersionsGrpcTransport, "grpc"), (VersionsAsyncClient, transports.VersionsGrpcAsyncIOTransport, "grpc_asyncio"), ], ) @mock.patch.object( VersionsClient, "DEFAULT_ENDPOINT", modify_default_endpoint(VersionsClient) ) @mock.patch.object( VersionsAsyncClient, "DEFAULT_ENDPOINT", modify_default_endpoint(VersionsAsyncClient), ) def test_versions_client_client_options(client_class, transport_class, transport_name): # Check that if channel is provided we won't create a new one. with mock.patch.object(VersionsClient, "get_transport_class") as gtc: transport = transport_class(credentials=ga_credentials.AnonymousCredentials()) client = client_class(transport=transport) gtc.assert_not_called() # Check that if channel is provided via str we will create a new one. with mock.patch.object(VersionsClient, "get_transport_class") as gtc: client = client_class(transport=transport_name) gtc.assert_called() # Check the case api_endpoint is provided. options = client_options.ClientOptions(api_endpoint="squid.clam.whelk") with mock.patch.object(transport_class, "__init__") as patched: patched.return_value = None client = client_class(transport=transport_name, client_options=options) patched.assert_called_once_with( credentials=None, credentials_file=None, host="squid.clam.whelk", scopes=None, client_cert_source_for_mtls=None, quota_project_id=None, client_info=transports.base.DEFAULT_CLIENT_INFO, always_use_jwt_access=True, ) # Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT is # "never". with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "never"}): with mock.patch.object(transport_class, "__init__") as patched: patched.return_value = None client = client_class(transport=transport_name) patched.assert_called_once_with( credentials=None, credentials_file=None, host=client.DEFAULT_ENDPOINT, scopes=None, client_cert_source_for_mtls=None, quota_project_id=None, client_info=transports.base.DEFAULT_CLIENT_INFO, always_use_jwt_access=True, ) # Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT is # "always". with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "always"}): with mock.patch.object(transport_class, "__init__") as patched: patched.return_value = None client = client_class(transport=transport_name) patched.assert_called_once_with( credentials=None, credentials_file=None, host=client.DEFAULT_MTLS_ENDPOINT, scopes=None, client_cert_source_for_mtls=None, quota_project_id=None, client_info=transports.base.DEFAULT_CLIENT_INFO, always_use_jwt_access=True, ) # Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT has # unsupported value. with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "Unsupported"}): with pytest.raises(MutualTLSChannelError): client = client_class(transport=transport_name) # Check the case GOOGLE_API_USE_CLIENT_CERTIFICATE has unsupported value. with mock.patch.dict( os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "Unsupported"} ): with pytest.raises(ValueError): client = client_class(transport=transport_name) # Check the case quota_project_id is provided options = client_options.ClientOptions(quota_project_id="octopus") with mock.patch.object(transport_class, "__init__") as patched: patched.return_value = None client = client_class(client_options=options, transport=transport_name) patched.assert_called_once_with( credentials=None, credentials_file=None, host=client.DEFAULT_ENDPOINT, scopes=None, client_cert_source_for_mtls=None, quota_project_id="octopus", client_info=transports.base.DEFAULT_CLIENT_INFO, always_use_jwt_access=True, ) @pytest.mark.parametrize( "client_class,transport_class,transport_name,use_client_cert_env", [ (VersionsClient, transports.VersionsGrpcTransport, "grpc", "true"), ( VersionsAsyncClient, transports.VersionsGrpcAsyncIOTransport, "grpc_asyncio", "true", ), (VersionsClient, transports.VersionsGrpcTransport, "grpc", "false"), ( VersionsAsyncClient, transports.VersionsGrpcAsyncIOTransport, "grpc_asyncio", "false", ), ], ) @mock.patch.object( VersionsClient, "DEFAULT_ENDPOINT", modify_default_endpoint(VersionsClient) ) @mock.patch.object( VersionsAsyncClient, "DEFAULT_ENDPOINT", modify_default_endpoint(VersionsAsyncClient), ) @mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "auto"}) def test_versions_client_mtls_env_auto( client_class, transport_class, transport_name, use_client_cert_env ): # This tests the endpoint autoswitch behavior. Endpoint is autoswitched to the default # mtls endpoint, if GOOGLE_API_USE_CLIENT_CERTIFICATE is "true" and client cert exists. # Check the case client_cert_source is provided. Whether client cert is used depends on # GOOGLE_API_USE_CLIENT_CERTIFICATE value. with mock.patch.dict( os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": use_client_cert_env} ): options = client_options.ClientOptions( client_cert_source=client_cert_source_callback ) with mock.patch.object(transport_class, "__init__") as patched: patched.return_value = None client = client_class(client_options=options, transport=transport_name) if use_client_cert_env == "false": expected_client_cert_source = None expected_host = client.DEFAULT_ENDPOINT else: expected_client_cert_source = client_cert_source_callback expected_host = client.DEFAULT_MTLS_ENDPOINT patched.assert_called_once_with( credentials=None, credentials_file=None, host=expected_host, scopes=None, client_cert_source_for_mtls=expected_client_cert_source, quota_project_id=None, client_info=transports.base.DEFAULT_CLIENT_INFO, always_use_jwt_access=True, ) # Check the case ADC client cert is provided. Whether client cert is used depends on # GOOGLE_API_USE_CLIENT_CERTIFICATE value. with mock.patch.dict( os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": use_client_cert_env} ): with mock.patch.object(transport_class, "__init__") as patched: with mock.patch( "google.auth.transport.mtls.has_default_client_cert_source", return_value=True, ): with mock.patch( "google.auth.transport.mtls.default_client_cert_source", return_value=client_cert_source_callback, ): if use_client_cert_env == "false": expected_host = client.DEFAULT_ENDPOINT expected_client_cert_source = None else: expected_host = client.DEFAULT_MTLS_ENDPOINT expected_client_cert_source = client_cert_source_callback patched.return_value = None client = client_class(transport=transport_name) patched.assert_called_once_with( credentials=None, credentials_file=None, host=expected_host, scopes=None, client_cert_source_for_mtls=expected_client_cert_source, quota_project_id=None, client_info=transports.base.DEFAULT_CLIENT_INFO, always_use_jwt_access=True, ) # Check the case client_cert_source and ADC client cert are not provided. with mock.patch.dict( os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": use_client_cert_env} ): with mock.patch.object(transport_class, "__init__") as patched: with mock.patch( "google.auth.transport.mtls.has_default_client_cert_source", return_value=False, ): patched.return_value = None client = client_class(transport=transport_name) patched.assert_called_once_with( credentials=None, credentials_file=None, host=client.DEFAULT_ENDPOINT, scopes=None, client_cert_source_for_mtls=None, quota_project_id=None, client_info=transports.base.DEFAULT_CLIENT_INFO, always_use_jwt_access=True, ) @pytest.mark.parametrize("client_class", [VersionsClient, VersionsAsyncClient]) @mock.patch.object( VersionsClient, "DEFAULT_ENDPOINT", modify_default_endpoint(VersionsClient) ) @mock.patch.object( VersionsAsyncClient, "DEFAULT_ENDPOINT", modify_default_endpoint(VersionsAsyncClient), ) def test_versions_client_get_mtls_endpoint_and_cert_source(client_class): mock_client_cert_source = mock.Mock() # Test the case GOOGLE_API_USE_CLIENT_CERTIFICATE is "true". with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}): mock_api_endpoint = "foo" options = client_options.ClientOptions( client_cert_source=mock_client_cert_source, api_endpoint=mock_api_endpoint ) api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source( options ) assert api_endpoint == mock_api_endpoint assert cert_source == mock_client_cert_source # Test the case GOOGLE_API_USE_CLIENT_CERTIFICATE is "false". with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "false"}): mock_client_cert_source = mock.Mock() mock_api_endpoint = "foo" options = client_options.ClientOptions( client_cert_source=mock_client_cert_source, api_endpoint=mock_api_endpoint ) api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source( options ) assert api_endpoint == mock_api_endpoint assert cert_source is None # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "never". with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "never"}): api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source() assert api_endpoint == client_class.DEFAULT_ENDPOINT assert cert_source is None # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "always". with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "always"}): api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source() assert api_endpoint == client_class.DEFAULT_MTLS_ENDPOINT assert cert_source is None # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "auto" and default cert doesn't exist. with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}): with mock.patch( "google.auth.transport.mtls.has_default_client_cert_source", return_value=False, ): api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source() assert api_endpoint == client_class.DEFAULT_ENDPOINT assert cert_source is None # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "auto" and default cert exists. with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}): with mock.patch( "google.auth.transport.mtls.has_default_client_cert_source", return_value=True, ): with mock.patch( "google.auth.transport.mtls.default_client_cert_source", return_value=mock_client_cert_source, ): ( api_endpoint, cert_source, ) = client_class.get_mtls_endpoint_and_cert_source() assert api_endpoint == client_class.DEFAULT_MTLS_ENDPOINT assert cert_source == mock_client_cert_source @pytest.mark.parametrize( "client_class,transport_class,transport_name", [ (VersionsClient, transports.VersionsGrpcTransport, "grpc"), (VersionsAsyncClient, transports.VersionsGrpcAsyncIOTransport, "grpc_asyncio"), ], ) def test_versions_client_client_options_scopes( client_class, transport_class, transport_name ): # Check the case scopes are provided. options = client_options.ClientOptions( scopes=["1", "2"], ) with mock.patch.object(transport_class, "__init__") as patched: patched.return_value = None client = client_class(client_options=options, transport=transport_name) patched.assert_called_once_with( credentials=None, credentials_file=None, host=client.DEFAULT_ENDPOINT, scopes=["1", "2"], client_cert_source_for_mtls=None, quota_project_id=None, client_info=transports.base.DEFAULT_CLIENT_INFO, always_use_jwt_access=True, ) @pytest.mark.parametrize( "client_class,transport_class,transport_name,grpc_helpers", [ (VersionsClient, transports.VersionsGrpcTransport, "grpc", grpc_helpers), ( VersionsAsyncClient, transports.VersionsGrpcAsyncIOTransport, "grpc_asyncio", grpc_helpers_async, ), ], ) def test_versions_client_client_options_credentials_file( client_class, transport_class, transport_name, grpc_helpers ): # Check the case credentials file is provided. options = client_options.ClientOptions(credentials_file="credentials.json") with mock.patch.object(transport_class, "__init__") as patched: patched.return_value = None client = client_class(client_options=options, transport=transport_name) patched.assert_called_once_with( credentials=None, credentials_file="credentials.json", host=client.DEFAULT_ENDPOINT, scopes=None, client_cert_source_for_mtls=None, quota_project_id=None, client_info=transports.base.DEFAULT_CLIENT_INFO, always_use_jwt_access=True, ) def test_versions_client_client_options_from_dict(): with mock.patch( "google.cloud.dialogflow_v2.services.versions.transports.VersionsGrpcTransport.__init__" ) as grpc_transport: grpc_transport.return_value = None client = VersionsClient(client_options={"api_endpoint": "squid.clam.whelk"}) grpc_transport.assert_called_once_with( credentials=None, credentials_file=None, host="squid.clam.whelk", scopes=None, client_cert_source_for_mtls=None, quota_project_id=None, client_info=transports.base.DEFAULT_CLIENT_INFO, always_use_jwt_access=True, ) @pytest.mark.parametrize( "client_class,transport_class,transport_name,grpc_helpers", [ (VersionsClient, transports.VersionsGrpcTransport, "grpc", grpc_helpers), ( VersionsAsyncClient, transports.VersionsGrpcAsyncIOTransport, "grpc_asyncio", grpc_helpers_async, ), ], ) def test_versions_client_create_channel_credentials_file( client_class, transport_class, transport_name, grpc_helpers ): # Check the case credentials file is provided. options = client_options.ClientOptions(credentials_file="credentials.json") with mock.patch.object(transport_class, "__init__") as patched: patched.return_value = None client = client_class(client_options=options, transport=transport_name) patched.assert_called_once_with( credentials=None, credentials_file="credentials.json", host=client.DEFAULT_ENDPOINT, scopes=None, client_cert_source_for_mtls=None, quota_project_id=None, client_info=transports.base.DEFAULT_CLIENT_INFO, always_use_jwt_access=True, ) # test that the credentials from file are saved and used as the credentials. with mock.patch.object( google.auth, "load_credentials_from_file", autospec=True ) as load_creds, mock.patch.object( google.auth, "default", autospec=True ) as adc, mock.patch.object( grpc_helpers, "create_channel" ) as create_channel: creds = ga_credentials.AnonymousCredentials() file_creds = ga_credentials.AnonymousCredentials() load_creds.return_value = (file_creds, None) adc.return_value = (creds, None) client = client_class(client_options=options, transport=transport_name) create_channel.assert_called_with( "dialogflow.googleapis.com:443", credentials=file_creds, credentials_file=None, quota_project_id=None, default_scopes=( "https://www.googleapis.com/auth/cloud-platform", "https://www.googleapis.com/auth/dialogflow", ), scopes=None, default_host="dialogflow.googleapis.com", ssl_credentials=None, options=[ ("grpc.max_send_message_length", -1), ("grpc.max_receive_message_length", -1), ], ) @pytest.mark.parametrize( "request_type", [ version.ListVersionsRequest, dict, ], ) def test_list_versions(request_type, transport: str = "grpc"): client = VersionsClient( credentials=ga_credentials.AnonymousCredentials(), transport=transport, ) # Everything is optional in proto3 as far as the runtime is concerned, # and we are mocking out the actual API, so just send an empty request. request = request_type() # Mock the actual call within the gRPC stub, and fake the request. with mock.patch.object(type(client.transport.list_versions), "__call__") as call: # Designate an appropriate return value for the call. call.return_value = version.ListVersionsResponse( next_page_token="next_page_token_value", ) response = client.list_versions(request) # Establish that the underlying gRPC stub method was called. assert len(call.mock_calls) == 1 _, args, _ = call.mock_calls[0] assert args[0] == version.ListVersionsRequest() # Establish that the response is the type that we expect. assert isinstance(response, pagers.ListVersionsPager) assert response.next_page_token == "next_page_token_value" def test_list_versions_empty_call(): # This test is a coverage failsafe to make sure that totally empty calls, # i.e. request == None and no flattened fields passed, work. client = VersionsClient( credentials=ga_credentials.AnonymousCredentials(), transport="grpc", ) # Mock the actual call within the gRPC stub, and fake the request. with mock.patch.object(type(client.transport.list_versions), "__call__") as call: client.list_versions() call.assert_called() _, args, _ = call.mock_calls[0] assert args[0] == version.ListVersionsRequest() @pytest.mark.asyncio async def test_list_versions_async( transport: str = "grpc_asyncio", request_type=version.ListVersionsRequest ): client = VersionsAsyncClient( credentials=ga_credentials.AnonymousCredentials(), transport=transport, ) # Everything is optional in proto3 as far as the runtime is concerned, # and we are mocking out the actual API, so just send an empty request. request = request_type() # Mock the actual call within the gRPC stub, and fake the request. with mock.patch.object(type(client.transport.list_versions), "__call__") as call: # Designate an appropriate return value for the call. call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( version.ListVersionsResponse( next_page_token="next_page_token_value", ) ) response = await client.list_versions(request) # Establish that the underlying gRPC stub method was called. assert len(call.mock_calls) _, args, _ = call.mock_calls[0] assert args[0] == version.ListVersionsRequest() # Establish that the response is the type that we expect. assert isinstance(response, pagers.ListVersionsAsyncPager) assert response.next_page_token == "next_page_token_value" @pytest.mark.asyncio async def test_list_versions_async_from_dict(): await test_list_versions_async(request_type=dict) def test_list_versions_field_headers(): client = VersionsClient( credentials=ga_credentials.AnonymousCredentials(), ) # Any value that is part of the HTTP/1.1 URI should be sent as # a field header. Set these to a non-empty value. request = version.ListVersionsRequest() request.parent = "parent_value" # Mock the actual call within the gRPC stub, and fake the request. with mock.patch.object(type(client.transport.list_versions), "__call__") as call: call.return_value = version.ListVersionsResponse() client.list_versions(request) # Establish that the underlying gRPC stub method was called. assert len(call.mock_calls) == 1 _, args, _ = call.mock_calls[0] assert args[0] == request # Establish that the field header was sent. _, _, kw = call.mock_calls[0] assert ( "x-goog-request-params", "parent=parent_value", ) in kw["metadata"] @pytest.mark.asyncio async def test_list_versions_field_headers_async(): client = VersionsAsyncClient( credentials=ga_credentials.AnonymousCredentials(), ) # Any value that is part of the HTTP/1.1 URI should be sent as # a field header. Set these to a non-empty value. request = version.ListVersionsRequest() request.parent = "parent_value" # Mock the actual call within the gRPC stub, and fake the request. with mock.patch.object(type(client.transport.list_versions), "__call__") as call: call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( version.ListVersionsResponse() ) await client.list_versions(request) # Establish that the underlying gRPC stub method was called. assert len(call.mock_calls) _, args, _ = call.mock_calls[0] assert args[0] == request # Establish that the field header was sent. _, _, kw = call.mock_calls[0] assert ( "x-goog-request-params", "parent=parent_value", ) in kw["metadata"] def test_list_versions_flattened(): client = VersionsClient( credentials=ga_credentials.AnonymousCredentials(), ) # Mock the actual call within the gRPC stub, and fake the request. with mock.patch.object(type(client.transport.list_versions), "__call__") as call: # Designate an appropriate return value for the call. call.return_value = version.ListVersionsResponse() # Call the method with a truthy value for each flattened field, # using the keyword arguments to the method. client.list_versions( parent="parent_value", ) # Establish that the underlying call was made with the expected # request object values. assert len(call.mock_calls) == 1 _, args, _ = call.mock_calls[0] arg = args[0].parent mock_val = "parent_value" assert arg == mock_val def test_list_versions_flattened_error(): client = VersionsClient( credentials=ga_credentials.AnonymousCredentials(), ) # Attempting to call a method with both a request object and flattened # fields is an error. with pytest.raises(ValueError): client.list_versions( version.ListVersionsRequest(), parent="parent_value", ) @pytest.mark.asyncio async def test_list_versions_flattened_async(): client = VersionsAsyncClient( credentials=ga_credentials.AnonymousCredentials(), ) # Mock the actual call within the gRPC stub, and fake the request. with mock.patch.object(type(client.transport.list_versions), "__call__") as call: # Designate an appropriate return value for the call. call.return_value = version.ListVersionsResponse() call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( version.ListVersionsResponse() ) # Call the method with a truthy value for each flattened field, # using the keyword arguments to the method. response = await client.list_versions( parent="parent_value", ) # Establish that the underlying call was made with the expected # request object values. assert len(call.mock_calls) _, args, _ = call.mock_calls[0] arg = args[0].parent mock_val = "parent_value" assert arg == mock_val @pytest.mark.asyncio async def test_list_versions_flattened_error_async(): client = VersionsAsyncClient( credentials=ga_credentials.AnonymousCredentials(), ) # Attempting to call a method with both a request object and flattened # fields is an error. with pytest.raises(ValueError): await client.list_versions( version.ListVersionsRequest(), parent="parent_value", ) def test_list_versions_pager(transport_name: str = "grpc"): client = VersionsClient( credentials=ga_credentials.AnonymousCredentials, transport=transport_name, ) # Mock the actual call within the gRPC stub, and fake the request. with mock.patch.object(type(client.transport.list_versions), "__call__") as call: # Set the response to a series of pages. call.side_effect = ( version.ListVersionsResponse( versions=[ version.Version(), version.Version(), version.Version(), ], next_page_token="abc", ), version.ListVersionsResponse( versions=[], next_page_token="def", ), version.ListVersionsResponse( versions=[ version.Version(), ], next_page_token="ghi", ), version.ListVersionsResponse( versions=[ version.Version(), version.Version(), ], ), RuntimeError, ) metadata = () metadata = tuple(metadata) + ( gapic_v1.routing_header.to_grpc_metadata((("parent", ""),)), ) pager = client.list_versions(request={}) assert pager._metadata == metadata results = list(pager) assert len(results) == 6 assert all(isinstance(i, version.Version) for i in results) def test_list_versions_pages(transport_name: str = "grpc"): client = VersionsClient( credentials=ga_credentials.AnonymousCredentials, transport=transport_name, ) # Mock the actual call within the gRPC stub, and fake the request. with mock.patch.object(type(client.transport.list_versions), "__call__") as call: # Set the response to a series of pages. call.side_effect = ( version.ListVersionsResponse( versions=[ version.Version(), version.Version(), version.Version(), ], next_page_token="abc", ), version.ListVersionsResponse( versions=[], next_page_token="def", ), version.ListVersionsResponse( versions=[ version.Version(), ], next_page_token="ghi", ), version.ListVersionsResponse( versions=[ version.Version(), version.Version(), ], ), RuntimeError, ) pages = list(client.list_versions(request={}).pages) for page_, token in zip(pages, ["abc", "def", "ghi", ""]): assert page_.raw_page.next_page_token == token @pytest.mark.asyncio async def test_list_versions_async_pager(): client = VersionsAsyncClient( credentials=ga_credentials.AnonymousCredentials, ) # Mock the actual call within the gRPC stub, and fake the request. with mock.patch.object( type(client.transport.list_versions), "__call__", new_callable=mock.AsyncMock ) as call: # Set the response to a series of pages. call.side_effect = ( version.ListVersionsResponse( versions=[ version.Version(), version.Version(), version.Version(), ], next_page_token="abc", ), version.ListVersionsResponse( versions=[], next_page_token="def", ), version.ListVersionsResponse( versions=[ version.Version(), ], next_page_token="ghi", ), version.ListVersionsResponse( versions=[ version.Version(), version.Version(), ], ), RuntimeError, ) async_pager = await client.list_versions( request={}, ) assert async_pager.next_page_token == "abc" responses = [] async for response in async_pager: # pragma: no branch responses.append(response) assert len(responses) == 6 assert all(isinstance(i, version.Version) for i in responses) @pytest.mark.asyncio async def test_list_versions_async_pages(): client = VersionsAsyncClient( credentials=ga_credentials.AnonymousCredentials, ) # Mock the actual call within the gRPC stub, and fake the request. with mock.patch.object( type(client.transport.list_versions), "__call__", new_callable=mock.AsyncMock ) as call: # Set the response to a series of pages. call.side_effect = ( version.ListVersionsResponse( versions=[ version.Version(), version.Version(), version.Version(), ], next_page_token="abc", ), version.ListVersionsResponse( versions=[], next_page_token="def", ), version.ListVersionsResponse( versions=[ version.Version(), ], next_page_token="ghi", ), version.ListVersionsResponse( versions=[ version.Version(), version.Version(), ], ), RuntimeError, ) pages = [] async for page_ in ( await client.list_versions(request={}) ).pages: # pragma: no branch pages.append(page_) for page_, token in zip(pages, ["abc", "def", "ghi", ""]): assert page_.raw_page.next_page_token == token @pytest.mark.parametrize( "request_type", [ version.GetVersionRequest, dict, ], ) def test_get_version(request_type, transport: str = "grpc"): client = VersionsClient( credentials=ga_credentials.AnonymousCredentials(), transport=transport, ) # Everything is optional in proto3 as far as the runtime is concerned, # and we are mocking out the actual API, so just send an empty request. request = request_type() # Mock the actual call within the gRPC stub, and fake the request. with mock.patch.object(type(client.transport.get_version), "__call__") as call: # Designate an appropriate return value for the call. call.return_value = version.Version( name="name_value", description="description_value", version_number=1518, status=version.Version.VersionStatus.IN_PROGRESS, ) response = client.get_version(request) # Establish that the underlying gRPC stub method was called. assert len(call.mock_calls) == 1 _, args, _ = call.mock_calls[0] assert args[0] == version.GetVersionRequest() # Establish that the response is the type that we expect. assert isinstance(response, version.Version) assert response.name == "name_value" assert response.description == "description_value" assert response.version_number == 1518 assert response.status == version.Version.VersionStatus.IN_PROGRESS def test_get_version_empty_call(): # This test is a coverage failsafe to make sure that totally empty calls, # i.e. request == None and no flattened fields passed, work. client = VersionsClient( credentials=ga_credentials.AnonymousCredentials(), transport="grpc", ) # Mock the actual call within the gRPC stub, and fake the request. with mock.patch.object(type(client.transport.get_version), "__call__") as call: client.get_version() call.assert_called() _, args, _ = call.mock_calls[0] assert args[0] == version.GetVersionRequest() @pytest.mark.asyncio async def test_get_version_async( transport: str = "grpc_asyncio", request_type=version.GetVersionRequest ): client = VersionsAsyncClient( credentials=ga_credentials.AnonymousCredentials(), transport=transport, ) # Everything is optional in proto3 as far as the runtime is concerned, # and we are mocking out the actual API, so just send an empty request. request = request_type() # Mock the actual call within the gRPC stub, and fake the request. with mock.patch.object(type(client.transport.get_version), "__call__") as call: # Designate an appropriate return value for the call. call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( version.Version( name="name_value", description="description_value", version_number=1518, status=version.Version.VersionStatus.IN_PROGRESS, ) ) response = await client.get_version(request) # Establish that the underlying gRPC stub method was called. assert len(call.mock_calls) _, args, _ = call.mock_calls[0] assert args[0] == version.GetVersionRequest() # Establish that the response is the type that we expect. assert isinstance(response, version.Version) assert response.name == "name_value" assert response.description == "description_value" assert response.version_number == 1518 assert response.status == version.Version.VersionStatus.IN_PROGRESS @pytest.mark.asyncio async def test_get_version_async_from_dict(): await test_get_version_async(request_type=dict) def test_get_version_field_headers(): client = VersionsClient( credentials=ga_credentials.AnonymousCredentials(), ) # Any value that is part of the HTTP/1.1 URI should be sent as # a field header. Set these to a non-empty value. request = version.GetVersionRequest() request.name = "name_value" # Mock the actual call within the gRPC stub, and fake the request. with mock.patch.object(type(client.transport.get_version), "__call__") as call: call.return_value = version.Version() client.get_version(request) # Establish that the underlying gRPC stub method was called. assert len(call.mock_calls) == 1 _, args, _ = call.mock_calls[0] assert args[0] == request # Establish that the field header was sent. _, _, kw = call.mock_calls[0] assert ( "x-goog-request-params", "name=name_value", ) in kw["metadata"] @pytest.mark.asyncio async def test_get_version_field_headers_async(): client = VersionsAsyncClient( credentials=ga_credentials.AnonymousCredentials(), ) # Any value that is part of the HTTP/1.1 URI should be sent as # a field header. Set these to a non-empty value. request = version.GetVersionRequest() request.name = "name_value" # Mock the actual call within the gRPC stub, and fake the request. with mock.patch.object(type(client.transport.get_version), "__call__") as call: call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(version.Version()) await client.get_version(request) # Establish that the underlying gRPC stub method was called. assert len(call.mock_calls) _, args, _ = call.mock_calls[0] assert args[0] == request # Establish that the field header was sent. _, _, kw = call.mock_calls[0] assert ( "x-goog-request-params", "name=name_value", ) in kw["metadata"] def test_get_version_flattened(): client = VersionsClient( credentials=ga_credentials.AnonymousCredentials(), ) # Mock the actual call within the gRPC stub, and fake the request. with mock.patch.object(type(client.transport.get_version), "__call__") as call: # Designate an appropriate return value for the call. call.return_value = version.Version() # Call the method with a truthy value for each flattened field, # using the keyword arguments to the method. client.get_version( name="name_value", ) # Establish that the underlying call was made with the expected # request object values. assert len(call.mock_calls) == 1 _, args, _ = call.mock_calls[0] arg = args[0].name mock_val = "name_value" assert arg == mock_val def test_get_version_flattened_error(): client = VersionsClient( credentials=ga_credentials.AnonymousCredentials(), ) # Attempting to call a method with both a request object and flattened # fields is an error. with pytest.raises(ValueError): client.get_version( version.GetVersionRequest(), name="name_value", ) @pytest.mark.asyncio async def test_get_version_flattened_async(): client = VersionsAsyncClient( credentials=ga_credentials.AnonymousCredentials(), ) # Mock the actual call within the gRPC stub, and fake the request. with mock.patch.object(type(client.transport.get_version), "__call__") as call: # Designate an appropriate return value for the call. call.return_value = version.Version() call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(version.Version()) # Call the method with a truthy value for each flattened field, # using the keyword arguments to the method. response = await client.get_version( name="name_value", ) # Establish that the underlying call was made with the expected # request object values. assert len(call.mock_calls) _, args, _ = call.mock_calls[0] arg = args[0].name mock_val = "name_value" assert arg == mock_val @pytest.mark.asyncio async def test_get_version_flattened_error_async(): client = VersionsAsyncClient( credentials=ga_credentials.AnonymousCredentials(), ) # Attempting to call a method with both a request object and flattened # fields is an error. with pytest.raises(ValueError): await client.get_version( version.GetVersionRequest(), name="name_value", ) @pytest.mark.parametrize( "request_type", [ gcd_version.CreateVersionRequest, dict, ], ) def test_create_version(request_type, transport: str = "grpc"): client = VersionsClient( credentials=ga_credentials.AnonymousCredentials(), transport=transport, ) # Everything is optional in proto3 as far as the runtime is concerned, # and we are mocking out the actual API, so just send an empty request. request = request_type() # Mock the actual call within the gRPC stub, and fake the request. with mock.patch.object(type(client.transport.create_version), "__call__") as call: # Designate an appropriate return value for the call. call.return_value = gcd_version.Version( name="name_value", description="description_value", version_number=1518, status=gcd_version.Version.VersionStatus.IN_PROGRESS, ) response = client.create_version(request) # Establish that the underlying gRPC stub method was called. assert len(call.mock_calls) == 1 _, args, _ = call.mock_calls[0] assert args[0] == gcd_version.CreateVersionRequest() # Establish that the response is the type that we expect. assert isinstance(response, gcd_version.Version) assert response.name == "name_value" assert response.description == "description_value" assert response.version_number == 1518 assert response.status == gcd_version.Version.VersionStatus.IN_PROGRESS def test_create_version_empty_call(): # This test is a coverage failsafe to make sure that totally empty calls, # i.e. request == None and no flattened fields passed, work. client = VersionsClient( credentials=ga_credentials.AnonymousCredentials(), transport="grpc", ) # Mock the actual call within the gRPC stub, and fake the request. with mock.patch.object(type(client.transport.create_version), "__call__") as call: client.create_version() call.assert_called() _, args, _ = call.mock_calls[0] assert args[0] == gcd_version.CreateVersionRequest() @pytest.mark.asyncio async def test_create_version_async( transport: str = "grpc_asyncio", request_type=gcd_version.CreateVersionRequest ): client = VersionsAsyncClient( credentials=ga_credentials.AnonymousCredentials(), transport=transport, ) # Everything is optional in proto3 as far as the runtime is concerned, # and we are mocking out the actual API, so just send an empty request. request = request_type() # Mock the actual call within the gRPC stub, and fake the request. with mock.patch.object(type(client.transport.create_version), "__call__") as call: # Designate an appropriate return value for the call. call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( gcd_version.Version( name="name_value", description="description_value", version_number=1518, status=gcd_version.Version.VersionStatus.IN_PROGRESS, ) ) response = await client.create_version(request) # Establish that the underlying gRPC stub method was called. assert len(call.mock_calls) _, args, _ = call.mock_calls[0] assert args[0] == gcd_version.CreateVersionRequest() # Establish that the response is the type that we expect. assert isinstance(response, gcd_version.Version) assert response.name == "name_value" assert response.description == "description_value" assert response.version_number == 1518 assert response.status == gcd_version.Version.VersionStatus.IN_PROGRESS @pytest.mark.asyncio async def test_create_version_async_from_dict(): await test_create_version_async(request_type=dict) def test_create_version_field_headers(): client = VersionsClient( credentials=ga_credentials.AnonymousCredentials(), ) # Any value that is part of the HTTP/1.1 URI should be sent as # a field header. Set these to a non-empty value. request = gcd_version.CreateVersionRequest() request.parent = "parent_value" # Mock the actual call within the gRPC stub, and fake the request. with mock.patch.object(type(client.transport.create_version), "__call__") as call: call.return_value = gcd_version.Version() client.create_version(request) # Establish that the underlying gRPC stub method was called. assert len(call.mock_calls) == 1 _, args, _ = call.mock_calls[0] assert args[0] == request # Establish that the field header was sent. _, _, kw = call.mock_calls[0] assert ( "x-goog-request-params", "parent=parent_value", ) in kw["metadata"] @pytest.mark.asyncio async def test_create_version_field_headers_async(): client = VersionsAsyncClient( credentials=ga_credentials.AnonymousCredentials(), ) # Any value that is part of the HTTP/1.1 URI should be sent as # a field header. Set these to a non-empty value. request = gcd_version.CreateVersionRequest() request.parent = "parent_value" # Mock the actual call within the gRPC stub, and fake the request. with mock.patch.object(type(client.transport.create_version), "__call__") as call: call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(gcd_version.Version()) await client.create_version(request) # Establish that the underlying gRPC stub method was called. assert len(call.mock_calls) _, args, _ = call.mock_calls[0] assert args[0] == request # Establish that the field header was sent. _, _, kw = call.mock_calls[0] assert ( "x-goog-request-params", "parent=parent_value", ) in kw["metadata"] def test_create_version_flattened(): client = VersionsClient( credentials=ga_credentials.AnonymousCredentials(), ) # Mock the actual call within the gRPC stub, and fake the request. with mock.patch.object(type(client.transport.create_version), "__call__") as call: # Designate an appropriate return value for the call. call.return_value = gcd_version.Version() # Call the method with a truthy value for each flattened field, # using the keyword arguments to the method. client.create_version( parent="parent_value", version=gcd_version.Version(name="name_value"), ) # Establish that the underlying call was made with the expected # request object values. assert len(call.mock_calls) == 1 _, args, _ = call.mock_calls[0] arg = args[0].parent mock_val = "parent_value" assert arg == mock_val arg = args[0].version mock_val = gcd_version.Version(name="name_value") assert arg == mock_val def test_create_version_flattened_error(): client = VersionsClient( credentials=ga_credentials.AnonymousCredentials(), ) # Attempting to call a method with both a request object and flattened # fields is an error. with pytest.raises(ValueError): client.create_version( gcd_version.CreateVersionRequest(), parent="parent_value", version=gcd_version.Version(name="name_value"), ) @pytest.mark.asyncio async def test_create_version_flattened_async(): client = VersionsAsyncClient( credentials=ga_credentials.AnonymousCredentials(), ) # Mock the actual call within the gRPC stub, and fake the request. with mock.patch.object(type(client.transport.create_version), "__call__") as call: # Designate an appropriate return value for the call. call.return_value = gcd_version.Version() call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(gcd_version.Version()) # Call the method with a truthy value for each flattened field, # using the keyword arguments to the method. response = await client.create_version( parent="parent_value", version=gcd_version.Version(name="name_value"), ) # Establish that the underlying call was made with the expected # request object values. assert len(call.mock_calls) _, args, _ = call.mock_calls[0] arg = args[0].parent mock_val = "parent_value" assert arg == mock_val arg = args[0].version mock_val = gcd_version.Version(name="name_value") assert arg == mock_val @pytest.mark.asyncio async def test_create_version_flattened_error_async(): client = VersionsAsyncClient( credentials=ga_credentials.AnonymousCredentials(), ) # Attempting to call a method with both a request object and flattened # fields is an error. with pytest.raises(ValueError): await client.create_version( gcd_version.CreateVersionRequest(), parent="parent_value", version=gcd_version.Version(name="name_value"), ) @pytest.mark.parametrize( "request_type", [ gcd_version.UpdateVersionRequest, dict, ], ) def test_update_version(request_type, transport: str = "grpc"): client = VersionsClient( credentials=ga_credentials.AnonymousCredentials(), transport=transport, ) # Everything is optional in proto3 as far as the runtime is concerned, # and we are mocking out the actual API, so just send an empty request. request = request_type() # Mock the actual call within the gRPC stub, and fake the request. with mock.patch.object(type(client.transport.update_version), "__call__") as call: # Designate an appropriate return value for the call. call.return_value = gcd_version.Version( name="name_value", description="description_value", version_number=1518, status=gcd_version.Version.VersionStatus.IN_PROGRESS, ) response = client.update_version(request) # Establish that the underlying gRPC stub method was called. assert len(call.mock_calls) == 1 _, args, _ = call.mock_calls[0] assert args[0] == gcd_version.UpdateVersionRequest() # Establish that the response is the type that we expect. assert isinstance(response, gcd_version.Version) assert response.name == "name_value" assert response.description == "description_value" assert response.version_number == 1518 assert response.status == gcd_version.Version.VersionStatus.IN_PROGRESS def test_update_version_empty_call(): # This test is a coverage failsafe to make sure that totally empty calls, # i.e. request == None and no flattened fields passed, work. client = VersionsClient( credentials=ga_credentials.AnonymousCredentials(), transport="grpc", ) # Mock the actual call within the gRPC stub, and fake the request. with mock.patch.object(type(client.transport.update_version), "__call__") as call: client.update_version() call.assert_called() _, args, _ = call.mock_calls[0] assert args[0] == gcd_version.UpdateVersionRequest() @pytest.mark.asyncio async def test_update_version_async( transport: str = "grpc_asyncio", request_type=gcd_version.UpdateVersionRequest ): client = VersionsAsyncClient( credentials=ga_credentials.AnonymousCredentials(), transport=transport, ) # Everything is optional in proto3 as far as the runtime is concerned, # and we are mocking out the actual API, so just send an empty request. request = request_type() # Mock the actual call within the gRPC stub, and fake the request. with mock.patch.object(type(client.transport.update_version), "__call__") as call: # Designate an appropriate return value for the call. call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( gcd_version.Version( name="name_value", description="description_value", version_number=1518, status=gcd_version.Version.VersionStatus.IN_PROGRESS, ) ) response = await client.update_version(request) # Establish that the underlying gRPC stub method was called. assert len(call.mock_calls) _, args, _ = call.mock_calls[0] assert args[0] == gcd_version.UpdateVersionRequest() # Establish that the response is the type that we expect. assert isinstance(response, gcd_version.Version) assert response.name == "name_value" assert response.description == "description_value" assert response.version_number == 1518 assert response.status == gcd_version.Version.VersionStatus.IN_PROGRESS @pytest.mark.asyncio async def test_update_version_async_from_dict(): await test_update_version_async(request_type=dict) def test_update_version_field_headers(): client = VersionsClient( credentials=ga_credentials.AnonymousCredentials(), ) # Any value that is part of the HTTP/1.1 URI should be sent as # a field header. Set these to a non-empty value. request = gcd_version.UpdateVersionRequest() request.version.name = "name_value" # Mock the actual call within the gRPC stub, and fake the request. with mock.patch.object(type(client.transport.update_version), "__call__") as call: call.return_value = gcd_version.Version() client.update_version(request) # Establish that the underlying gRPC stub method was called. assert len(call.mock_calls) == 1 _, args, _ = call.mock_calls[0] assert args[0] == request # Establish that the field header was sent. _, _, kw = call.mock_calls[0] assert ( "x-goog-request-params", "version.name=name_value", ) in kw["metadata"] @pytest.mark.asyncio async def test_update_version_field_headers_async(): client = VersionsAsyncClient( credentials=ga_credentials.AnonymousCredentials(), ) # Any value that is part of the HTTP/1.1 URI should be sent as # a field header. Set these to a non-empty value. request = gcd_version.UpdateVersionRequest() request.version.name = "name_value" # Mock the actual call within the gRPC stub, and fake the request. with mock.patch.object(type(client.transport.update_version), "__call__") as call: call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(gcd_version.Version()) await client.update_version(request) # Establish that the underlying gRPC stub method was called. assert len(call.mock_calls) _, args, _ = call.mock_calls[0] assert args[0] == request # Establish that the field header was sent. _, _, kw = call.mock_calls[0] assert ( "x-goog-request-params", "version.name=name_value", ) in kw["metadata"] def test_update_version_flattened(): client = VersionsClient( credentials=ga_credentials.AnonymousCredentials(), ) # Mock the actual call within the gRPC stub, and fake the request. with mock.patch.object(type(client.transport.update_version), "__call__") as call: # Designate an appropriate return value for the call. call.return_value = gcd_version.Version() # Call the method with a truthy value for each flattened field, # using the keyword arguments to the method. client.update_version( version=gcd_version.Version(name="name_value"), update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]), ) # Establish that the underlying call was made with the expected # request object values. assert len(call.mock_calls) == 1 _, args, _ = call.mock_calls[0] arg = args[0].version mock_val = gcd_version.Version(name="name_value") assert arg == mock_val arg = args[0].update_mask mock_val = field_mask_pb2.FieldMask(paths=["paths_value"]) assert arg == mock_val def test_update_version_flattened_error(): client = VersionsClient( credentials=ga_credentials.AnonymousCredentials(), ) # Attempting to call a method with both a request object and flattened # fields is an error. with pytest.raises(ValueError): client.update_version( gcd_version.UpdateVersionRequest(), version=gcd_version.Version(name="name_value"), update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]), ) @pytest.mark.asyncio async def test_update_version_flattened_async(): client = VersionsAsyncClient( credentials=ga_credentials.AnonymousCredentials(), ) # Mock the actual call within the gRPC stub, and fake the request. with mock.patch.object(type(client.transport.update_version), "__call__") as call: # Designate an appropriate return value for the call. call.return_value = gcd_version.Version() call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(gcd_version.Version()) # Call the method with a truthy value for each flattened field, # using the keyword arguments to the method. response = await client.update_version( version=gcd_version.Version(name="name_value"), update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]), ) # Establish that the underlying call was made with the expected # request object values. assert len(call.mock_calls) _, args, _ = call.mock_calls[0] arg = args[0].version mock_val = gcd_version.Version(name="name_value") assert arg == mock_val arg = args[0].update_mask mock_val = field_mask_pb2.FieldMask(paths=["paths_value"]) assert arg == mock_val @pytest.mark.asyncio async def test_update_version_flattened_error_async(): client = VersionsAsyncClient( credentials=ga_credentials.AnonymousCredentials(), ) # Attempting to call a method with both a request object and flattened # fields is an error. with pytest.raises(ValueError): await client.update_version( gcd_version.UpdateVersionRequest(), version=gcd_version.Version(name="name_value"), update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]), ) @pytest.mark.parametrize( "request_type", [ version.DeleteVersionRequest, dict, ], ) def test_delete_version(request_type, transport: str = "grpc"): client = VersionsClient( credentials=ga_credentials.AnonymousCredentials(), transport=transport, ) # Everything is optional in proto3 as far as the runtime is concerned, # and we are mocking out the actual API, so just send an empty request. request = request_type() # Mock the actual call within the gRPC stub, and fake the request. with mock.patch.object(type(client.transport.delete_version), "__call__") as call: # Designate an appropriate return value for the call. call.return_value = None response = client.delete_version(request) # Establish that the underlying gRPC stub method was called. assert len(call.mock_calls) == 1 _, args, _ = call.mock_calls[0] assert args[0] == version.DeleteVersionRequest() # Establish that the response is the type that we expect. assert response is None def test_delete_version_empty_call(): # This test is a coverage failsafe to make sure that totally empty calls, # i.e. request == None and no flattened fields passed, work. client = VersionsClient( credentials=ga_credentials.AnonymousCredentials(), transport="grpc", ) # Mock the actual call within the gRPC stub, and fake the request. with mock.patch.object(type(client.transport.delete_version), "__call__") as call: client.delete_version() call.assert_called() _, args, _ = call.mock_calls[0] assert args[0] == version.DeleteVersionRequest() @pytest.mark.asyncio async def test_delete_version_async( transport: str = "grpc_asyncio", request_type=version.DeleteVersionRequest ): client = VersionsAsyncClient( credentials=ga_credentials.AnonymousCredentials(), transport=transport, ) # Everything is optional in proto3 as far as the runtime is concerned, # and we are mocking out the actual API, so just send an empty request. request = request_type() # Mock the actual call within the gRPC stub, and fake the request. with mock.patch.object(type(client.transport.delete_version), "__call__") as call: # Designate an appropriate return value for the call. call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None) response = await client.delete_version(request) # Establish that the underlying gRPC stub method was called. assert len(call.mock_calls) _, args, _ = call.mock_calls[0] assert args[0] == version.DeleteVersionRequest() # Establish that the response is the type that we expect. assert response is None @pytest.mark.asyncio async def test_delete_version_async_from_dict(): await test_delete_version_async(request_type=dict) def test_delete_version_field_headers(): client = VersionsClient( credentials=ga_credentials.AnonymousCredentials(), ) # Any value that is part of the HTTP/1.1 URI should be sent as # a field header. Set these to a non-empty value. request = version.DeleteVersionRequest() request.name = "name_value" # Mock the actual call within the gRPC stub, and fake the request. with mock.patch.object(type(client.transport.delete_version), "__call__") as call: call.return_value = None client.delete_version(request) # Establish that the underlying gRPC stub method was called. assert len(call.mock_calls) == 1 _, args, _ = call.mock_calls[0] assert args[0] == request # Establish that the field header was sent. _, _, kw = call.mock_calls[0] assert ( "x-goog-request-params", "name=name_value", ) in kw["metadata"] @pytest.mark.asyncio async def test_delete_version_field_headers_async(): client = VersionsAsyncClient( credentials=ga_credentials.AnonymousCredentials(), ) # Any value that is part of the HTTP/1.1 URI should be sent as # a field header. Set these to a non-empty value. request = version.DeleteVersionRequest() request.name = "name_value" # Mock the actual call within the gRPC stub, and fake the request. with mock.patch.object(type(client.transport.delete_version), "__call__") as call: call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None) await client.delete_version(request) # Establish that the underlying gRPC stub method was called. assert len(call.mock_calls) _, args, _ = call.mock_calls[0] assert args[0] == request # Establish that the field header was sent. _, _, kw = call.mock_calls[0] assert ( "x-goog-request-params", "name=name_value", ) in kw["metadata"] def test_delete_version_flattened(): client = VersionsClient( credentials=ga_credentials.AnonymousCredentials(), ) # Mock the actual call within the gRPC stub, and fake the request. with mock.patch.object(type(client.transport.delete_version), "__call__") as call: # Designate an appropriate return value for the call. call.return_value = None # Call the method with a truthy value for each flattened field, # using the keyword arguments to the method. client.delete_version( name="name_value", ) # Establish that the underlying call was made with the expected # request object values. assert len(call.mock_calls) == 1 _, args, _ = call.mock_calls[0] arg = args[0].name mock_val = "name_value" assert arg == mock_val def test_delete_version_flattened_error(): client = VersionsClient( credentials=ga_credentials.AnonymousCredentials(), ) # Attempting to call a method with both a request object and flattened # fields is an error. with pytest.raises(ValueError): client.delete_version( version.DeleteVersionRequest(), name="name_value", ) @pytest.mark.asyncio async def test_delete_version_flattened_async(): client = VersionsAsyncClient( credentials=ga_credentials.AnonymousCredentials(), ) # Mock the actual call within the gRPC stub, and fake the request. with mock.patch.object(type(client.transport.delete_version), "__call__") as call: # Designate an appropriate return value for the call. call.return_value = None call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None) # Call the method with a truthy value for each flattened field, # using the keyword arguments to the method. response = await client.delete_version( name="name_value", ) # Establish that the underlying call was made with the expected # request object values. assert len(call.mock_calls) _, args, _ = call.mock_calls[0] arg = args[0].name mock_val = "name_value" assert arg == mock_val @pytest.mark.asyncio async def test_delete_version_flattened_error_async(): client = VersionsAsyncClient( credentials=ga_credentials.AnonymousCredentials(), ) # Attempting to call a method with both a request object and flattened # fields is an error. with pytest.raises(ValueError): await client.delete_version( version.DeleteVersionRequest(), name="name_value", ) def test_credentials_transport_error(): # It is an error to provide credentials and a transport instance. transport = transports.VersionsGrpcTransport( credentials=ga_credentials.AnonymousCredentials(), ) with pytest.raises(ValueError): client = VersionsClient( credentials=ga_credentials.AnonymousCredentials(), transport=transport, ) # It is an error to provide a credentials file and a transport instance. transport = transports.VersionsGrpcTransport( credentials=ga_credentials.AnonymousCredentials(), ) with pytest.raises(ValueError): client = VersionsClient( client_options={"credentials_file": "credentials.json"}, transport=transport, ) # It is an error to provide an api_key and a transport instance. transport = transports.VersionsGrpcTransport( credentials=ga_credentials.AnonymousCredentials(), ) options = client_options.ClientOptions() options.api_key = "api_key" with pytest.raises(ValueError): client = VersionsClient( client_options=options, transport=transport, ) # It is an error to provide an api_key and a credential. options = mock.Mock() options.api_key = "api_key" with pytest.raises(ValueError): client = VersionsClient( client_options=options, credentials=ga_credentials.AnonymousCredentials() ) # It is an error to provide scopes and a transport instance. transport = transports.VersionsGrpcTransport( credentials=ga_credentials.AnonymousCredentials(), ) with pytest.raises(ValueError): client = VersionsClient( client_options={"scopes": ["1", "2"]}, transport=transport, ) def test_transport_instance(): # A client may be instantiated with a custom transport instance. transport = transports.VersionsGrpcTransport( credentials=ga_credentials.AnonymousCredentials(), ) client = VersionsClient(transport=transport) assert client.transport is transport def test_transport_get_channel(): # A client may be instantiated with a custom transport instance. transport = transports.VersionsGrpcTransport( credentials=ga_credentials.AnonymousCredentials(), ) channel = transport.grpc_channel assert channel transport = transports.VersionsGrpcAsyncIOTransport( credentials=ga_credentials.AnonymousCredentials(), ) channel = transport.grpc_channel assert channel @pytest.mark.parametrize( "transport_class", [ transports.VersionsGrpcTransport, transports.VersionsGrpcAsyncIOTransport, ], ) def test_transport_adc(transport_class): # Test default credentials are used if not provided. with mock.patch.object(google.auth, "default") as adc: adc.return_value = (ga_credentials.AnonymousCredentials(), None) transport_class() adc.assert_called_once() @pytest.mark.parametrize( "transport_name", [ "grpc", ], ) def test_transport_kind(transport_name): transport = VersionsClient.get_transport_class(transport_name)( credentials=ga_credentials.AnonymousCredentials(), ) assert transport.kind == transport_name def test_transport_grpc_default(): # A client should use the gRPC transport by default. client = VersionsClient( credentials=ga_credentials.AnonymousCredentials(), ) assert isinstance( client.transport, transports.VersionsGrpcTransport, ) def test_versions_base_transport_error(): # Passing both a credentials object and credentials_file should raise an error with pytest.raises(core_exceptions.DuplicateCredentialArgs): transport = transports.VersionsTransport( credentials=ga_credentials.AnonymousCredentials(), credentials_file="credentials.json", ) def test_versions_base_transport(): # Instantiate the base transport. with mock.patch( "google.cloud.dialogflow_v2.services.versions.transports.VersionsTransport.__init__" ) as Transport: Transport.return_value = None transport = transports.VersionsTransport( credentials=ga_credentials.AnonymousCredentials(), ) # Every method on the transport should just blindly # raise NotImplementedError. methods = ( "list_versions", "get_version", "create_version", "update_version", "delete_version", ) for method in methods: with pytest.raises(NotImplementedError): getattr(transport, method)(request=object()) with pytest.raises(NotImplementedError): transport.close() # Catch all for all remaining methods and properties remainder = [ "kind", ] for r in remainder: with pytest.raises(NotImplementedError): getattr(transport, r)() def test_versions_base_transport_with_credentials_file(): # Instantiate the base transport with a credentials file with mock.patch.object( google.auth, "load_credentials_from_file", autospec=True ) as load_creds, mock.patch( "google.cloud.dialogflow_v2.services.versions.transports.VersionsTransport._prep_wrapped_messages" ) as Transport: Transport.return_value = None load_creds.return_value = (ga_credentials.AnonymousCredentials(), None) transport = transports.VersionsTransport( credentials_file="credentials.json", quota_project_id="octopus", ) load_creds.assert_called_once_with( "credentials.json", scopes=None, default_scopes=( "https://www.googleapis.com/auth/cloud-platform", "https://www.googleapis.com/auth/dialogflow", ), quota_project_id="octopus", ) def test_versions_base_transport_with_adc(): # Test the default credentials are used if credentials and credentials_file are None. with mock.patch.object(google.auth, "default", autospec=True) as adc, mock.patch( "google.cloud.dialogflow_v2.services.versions.transports.VersionsTransport._prep_wrapped_messages" ) as Transport: Transport.return_value = None adc.return_value = (ga_credentials.AnonymousCredentials(), None) transport = transports.VersionsTransport() adc.assert_called_once() def test_versions_auth_adc(): # If no credentials are provided, we should use ADC credentials. with mock.patch.object(google.auth, "default", autospec=True) as adc: adc.return_value = (ga_credentials.AnonymousCredentials(), None) VersionsClient() adc.assert_called_once_with( scopes=None, default_scopes=( "https://www.googleapis.com/auth/cloud-platform", "https://www.googleapis.com/auth/dialogflow", ), quota_project_id=None, ) @pytest.mark.parametrize( "transport_class", [ transports.VersionsGrpcTransport, transports.VersionsGrpcAsyncIOTransport, ], ) def test_versions_transport_auth_adc(transport_class): # If credentials and host are not provided, the transport class should use # ADC credentials. with mock.patch.object(google.auth, "default", autospec=True) as adc: adc.return_value = (ga_credentials.AnonymousCredentials(), None) transport_class(quota_project_id="octopus", scopes=["1", "2"]) adc.assert_called_once_with( scopes=["1", "2"], default_scopes=( "https://www.googleapis.com/auth/cloud-platform", "https://www.googleapis.com/auth/dialogflow", ), quota_project_id="octopus", ) @pytest.mark.parametrize( "transport_class,grpc_helpers", [ (transports.VersionsGrpcTransport, grpc_helpers), (transports.VersionsGrpcAsyncIOTransport, grpc_helpers_async), ], ) def test_versions_transport_create_channel(transport_class, grpc_helpers): # If credentials and host are not provided, the transport class should use # ADC credentials. with mock.patch.object( google.auth, "default", autospec=True ) as adc, mock.patch.object( grpc_helpers, "create_channel", autospec=True ) as create_channel: creds = ga_credentials.AnonymousCredentials() adc.return_value = (creds, None) transport_class(quota_project_id="octopus", scopes=["1", "2"]) create_channel.assert_called_with( "dialogflow.googleapis.com:443", credentials=creds, credentials_file=None, quota_project_id="octopus", default_scopes=( "https://www.googleapis.com/auth/cloud-platform", "https://www.googleapis.com/auth/dialogflow", ), scopes=["1", "2"], default_host="dialogflow.googleapis.com", ssl_credentials=None, options=[ ("grpc.max_send_message_length", -1), ("grpc.max_receive_message_length", -1), ], ) @pytest.mark.parametrize( "transport_class", [transports.VersionsGrpcTransport, transports.VersionsGrpcAsyncIOTransport], ) def test_versions_grpc_transport_client_cert_source_for_mtls(transport_class): cred = ga_credentials.AnonymousCredentials() # Check ssl_channel_credentials is used if provided. with mock.patch.object(transport_class, "create_channel") as mock_create_channel: mock_ssl_channel_creds = mock.Mock() transport_class( host="squid.clam.whelk", credentials=cred, ssl_channel_credentials=mock_ssl_channel_creds, ) mock_create_channel.assert_called_once_with( "squid.clam.whelk:443", credentials=cred, credentials_file=None, scopes=None, ssl_credentials=mock_ssl_channel_creds, quota_project_id=None, options=[ ("grpc.max_send_message_length", -1), ("grpc.max_receive_message_length", -1), ], ) # Check if ssl_channel_credentials is not provided, then client_cert_source_for_mtls # is used. with mock.patch.object(transport_class, "create_channel", return_value=mock.Mock()): with mock.patch("grpc.ssl_channel_credentials") as mock_ssl_cred: transport_class( credentials=cred, client_cert_source_for_mtls=client_cert_source_callback, ) expected_cert, expected_key = client_cert_source_callback() mock_ssl_cred.assert_called_once_with( certificate_chain=expected_cert, private_key=expected_key ) @pytest.mark.parametrize( "transport_name", [ "grpc", "grpc_asyncio", ], ) def test_versions_host_no_port(transport_name): client = VersionsClient( credentials=ga_credentials.AnonymousCredentials(), client_options=client_options.ClientOptions( api_endpoint="dialogflow.googleapis.com" ), transport=transport_name, ) assert client.transport._host == ("dialogflow.googleapis.com:443") @pytest.mark.parametrize( "transport_name", [ "grpc", "grpc_asyncio", ], ) def test_versions_host_with_port(transport_name): client = VersionsClient( credentials=ga_credentials.AnonymousCredentials(), client_options=client_options.ClientOptions( api_endpoint="dialogflow.googleapis.com:8000" ), transport=transport_name, ) assert client.transport._host == ("dialogflow.googleapis.com:8000") def test_versions_grpc_transport_channel(): channel = grpc.secure_channel("http://localhost/", grpc.local_channel_credentials()) # Check that channel is used if provided. transport = transports.VersionsGrpcTransport( host="squid.clam.whelk", channel=channel, ) assert transport.grpc_channel == channel assert transport._host == "squid.clam.whelk:443" assert transport._ssl_channel_credentials == None def test_versions_grpc_asyncio_transport_channel(): channel = aio.secure_channel("http://localhost/", grpc.local_channel_credentials()) # Check that channel is used if provided. transport = transports.VersionsGrpcAsyncIOTransport( host="squid.clam.whelk", channel=channel, ) assert transport.grpc_channel == channel assert transport._host == "squid.clam.whelk:443" assert transport._ssl_channel_credentials == None # Remove this test when deprecated arguments (api_mtls_endpoint, client_cert_source) are # removed from grpc/grpc_asyncio transport constructor. @pytest.mark.parametrize( "transport_class", [transports.VersionsGrpcTransport, transports.VersionsGrpcAsyncIOTransport], ) def test_versions_transport_channel_mtls_with_client_cert_source(transport_class): with mock.patch( "grpc.ssl_channel_credentials", autospec=True ) as grpc_ssl_channel_cred: with mock.patch.object( transport_class, "create_channel" ) as grpc_create_channel: mock_ssl_cred = mock.Mock() grpc_ssl_channel_cred.return_value = mock_ssl_cred mock_grpc_channel = mock.Mock() grpc_create_channel.return_value = mock_grpc_channel cred = ga_credentials.AnonymousCredentials() with pytest.warns(DeprecationWarning): with mock.patch.object(google.auth, "default") as adc: adc.return_value = (cred, None) transport = transport_class( host="squid.clam.whelk", api_mtls_endpoint="mtls.squid.clam.whelk", client_cert_source=client_cert_source_callback, ) adc.assert_called_once() grpc_ssl_channel_cred.assert_called_once_with( certificate_chain=b"cert bytes", private_key=b"key bytes" ) grpc_create_channel.assert_called_once_with( "mtls.squid.clam.whelk:443", credentials=cred, credentials_file=None, scopes=None, ssl_credentials=mock_ssl_cred, quota_project_id=None, options=[ ("grpc.max_send_message_length", -1), ("grpc.max_receive_message_length", -1), ], ) assert transport.grpc_channel == mock_grpc_channel assert transport._ssl_channel_credentials == mock_ssl_cred # Remove this test when deprecated arguments (api_mtls_endpoint, client_cert_source) are # removed from grpc/grpc_asyncio transport constructor. @pytest.mark.parametrize( "transport_class", [transports.VersionsGrpcTransport, transports.VersionsGrpcAsyncIOTransport], ) def test_versions_transport_channel_mtls_with_adc(transport_class): mock_ssl_cred = mock.Mock() with mock.patch.multiple( "google.auth.transport.grpc.SslCredentials", __init__=mock.Mock(return_value=None), ssl_credentials=mock.PropertyMock(return_value=mock_ssl_cred), ): with mock.patch.object( transport_class, "create_channel" ) as grpc_create_channel: mock_grpc_channel = mock.Mock() grpc_create_channel.return_value = mock_grpc_channel mock_cred = mock.Mock() with pytest.warns(DeprecationWarning): transport = transport_class( host="squid.clam.whelk", credentials=mock_cred, api_mtls_endpoint="mtls.squid.clam.whelk", client_cert_source=None, ) grpc_create_channel.assert_called_once_with( "mtls.squid.clam.whelk:443", credentials=mock_cred, credentials_file=None, scopes=None, ssl_credentials=mock_ssl_cred, quota_project_id=None, options=[ ("grpc.max_send_message_length", -1), ("grpc.max_receive_message_length", -1), ], ) assert transport.grpc_channel == mock_grpc_channel def test_version_path(): project = "squid" version = "clam" expected = "projects/{project}/agent/versions/{version}".format( project=project, version=version, ) actual = VersionsClient.version_path(project, version) assert expected == actual def test_parse_version_path(): expected = { "project": "whelk", "version": "octopus", } path = VersionsClient.version_path(**expected) # Check that the path construction is reversible. actual = VersionsClient.parse_version_path(path) assert expected == actual def test_common_billing_account_path(): billing_account = "oyster" expected = "billingAccounts/{billing_account}".format( billing_account=billing_account, ) actual = VersionsClient.common_billing_account_path(billing_account) assert expected == actual def test_parse_common_billing_account_path(): expected = { "billing_account": "nudibranch", } path = VersionsClient.common_billing_account_path(**expected) # Check that the path construction is reversible. actual = VersionsClient.parse_common_billing_account_path(path) assert expected == actual def test_common_folder_path(): folder = "cuttlefish" expected = "folders/{folder}".format( folder=folder, ) actual = VersionsClient.common_folder_path(folder) assert expected == actual def test_parse_common_folder_path(): expected = { "folder": "mussel", } path = VersionsClient.common_folder_path(**expected) # Check that the path construction is reversible. actual = VersionsClient.parse_common_folder_path(path) assert expected == actual def test_common_organization_path(): organization = "winkle" expected = "organizations/{organization}".format( organization=organization, ) actual = VersionsClient.common_organization_path(organization) assert expected == actual def test_parse_common_organization_path(): expected = { "organization": "nautilus", } path = VersionsClient.common_organization_path(**expected) # Check that the path construction is reversible. actual = VersionsClient.parse_common_organization_path(path) assert expected == actual def test_common_project_path(): project = "scallop" expected = "projects/{project}".format( project=project, ) actual = VersionsClient.common_project_path(project) assert expected == actual def test_parse_common_project_path(): expected = { "project": "abalone", } path = VersionsClient.common_project_path(**expected) # Check that the path construction is reversible. actual = VersionsClient.parse_common_project_path(path) assert expected == actual def test_common_location_path(): project = "squid" location = "clam" expected = "projects/{project}/locations/{location}".format( project=project, location=location, ) actual = VersionsClient.common_location_path(project, location) assert expected == actual def test_parse_common_location_path(): expected = { "project": "whelk", "location": "octopus", } path = VersionsClient.common_location_path(**expected) # Check that the path construction is reversible. actual = VersionsClient.parse_common_location_path(path) assert expected == actual def test_client_with_default_client_info(): client_info = gapic_v1.client_info.ClientInfo() with mock.patch.object( transports.VersionsTransport, "_prep_wrapped_messages" ) as prep: client = VersionsClient( credentials=ga_credentials.AnonymousCredentials(), client_info=client_info, ) prep.assert_called_once_with(client_info) with mock.patch.object( transports.VersionsTransport, "_prep_wrapped_messages" ) as prep: transport_class = VersionsClient.get_transport_class() transport = transport_class( credentials=ga_credentials.AnonymousCredentials(), client_info=client_info, ) prep.assert_called_once_with(client_info) @pytest.mark.asyncio async def test_transport_close_async(): client = VersionsAsyncClient( credentials=ga_credentials.AnonymousCredentials(), transport="grpc_asyncio", ) with mock.patch.object( type(getattr(client.transport, "grpc_channel")), "close" ) as close: async with client: close.assert_not_called() close.assert_called_once() def test_transport_close(): transports = { "grpc": "_grpc_channel", } for transport, close_name in transports.items(): client = VersionsClient( credentials=ga_credentials.AnonymousCredentials(), transport=transport ) with mock.patch.object( type(getattr(client.transport, close_name)), "close" ) as close: with client: close.assert_not_called() close.assert_called_once() def test_client_ctx(): transports = [ "grpc", ] for transport in transports: client = VersionsClient( credentials=ga_credentials.AnonymousCredentials(), transport=transport ) # Test client calls underlying transport. with mock.patch.object(type(client.transport), "close") as close: close.assert_not_called() with client: pass close.assert_called() @pytest.mark.parametrize( "client_class,transport_class", [ (VersionsClient, transports.VersionsGrpcTransport), (VersionsAsyncClient, transports.VersionsGrpcAsyncIOTransport), ], ) def test_api_key_credentials(client_class, transport_class): with mock.patch.object( google.auth._default, "get_api_key_credentials", create=True ) as get_api_key_credentials: mock_cred = mock.Mock() get_api_key_credentials.return_value = mock_cred options = client_options.ClientOptions() options.api_key = "api_key" with mock.patch.object(transport_class, "__init__") as patched: patched.return_value = None client = client_class(client_options=options) patched.assert_called_once_with( credentials=mock_cred, credentials_file=None, host=client.DEFAULT_ENDPOINT, scopes=None, client_cert_source_for_mtls=None, quota_project_id=None, client_info=transports.base.DEFAULT_CLIENT_INFO, always_use_jwt_access=True, )

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import os try: from unittest import mock from unittest.mock import AsyncMock except ImportError: import mock import grpc from grpc.experimental import aio import math import pytest from proto.marshal.rules.dates import DurationRule, TimestampRule from google.api_core import client_options from google.api_core import exceptions as core_exceptions from google.api_core import gapic_v1 from google.api_core import grpc_helpers from google.api_core import grpc_helpers_async from google.api_core import path_template from google.auth import credentials as ga_credentials from google.auth.exceptions import MutualTLSChannelError from google.cloud.dialogflow_v2.services.versions import VersionsAsyncClient from google.cloud.dialogflow_v2.services.versions import VersionsClient from google.cloud.dialogflow_v2.services.versions import pagers from google.cloud.dialogflow_v2.services.versions import transports from google.cloud.dialogflow_v2.types import version from google.cloud.dialogflow_v2.types import version as gcd_version from google.oauth2 import service_account from google.protobuf import field_mask_pb2 from google.protobuf import timestamp_pb2 import google.auth def client_cert_source_callback(): return b"cert bytes", b"key bytes" def modify_default_endpoint(client): return ( "foo.googleapis.com" if ("localhost" in client.DEFAULT_ENDPOINT) else client.DEFAULT_ENDPOINT ) def test__get_default_mtls_endpoint(): api_endpoint = "example.googleapis.com" api_mtls_endpoint = "example.mtls.googleapis.com" sandbox_endpoint = "example.sandbox.googleapis.com" sandbox_mtls_endpoint = "example.mtls.sandbox.googleapis.com" non_googleapi = "api.example.com" assert VersionsClient._get_default_mtls_endpoint(None) is None assert VersionsClient._get_default_mtls_endpoint(api_endpoint) == api_mtls_endpoint assert ( VersionsClient._get_default_mtls_endpoint(api_mtls_endpoint) == api_mtls_endpoint ) assert ( VersionsClient._get_default_mtls_endpoint(sandbox_endpoint) == sandbox_mtls_endpoint ) assert ( VersionsClient._get_default_mtls_endpoint(sandbox_mtls_endpoint) == sandbox_mtls_endpoint ) assert VersionsClient._get_default_mtls_endpoint(non_googleapi) == non_googleapi @pytest.mark.parametrize( "client_class,transport_name", [ (VersionsClient, "grpc"), (VersionsAsyncClient, "grpc_asyncio"), ], ) def test_versions_client_from_service_account_info(client_class, transport_name): creds = ga_credentials.AnonymousCredentials() with mock.patch.object( service_account.Credentials, "from_service_account_info" ) as factory: factory.return_value = creds info = {"valid": True} client = client_class.from_service_account_info(info, transport=transport_name) assert client.transport._credentials == creds assert isinstance(client, client_class) assert client.transport._host == ("dialogflow.googleapis.com:443") @pytest.mark.parametrize( "transport_class,transport_name", [ (transports.VersionsGrpcTransport, "grpc"), (transports.VersionsGrpcAsyncIOTransport, "grpc_asyncio"), ], ) def test_versions_client_service_account_always_use_jwt( transport_class, transport_name ): with mock.patch.object( service_account.Credentials, "with_always_use_jwt_access", create=True ) as use_jwt: creds = service_account.Credentials(None, None, None) transport = transport_class(credentials=creds, always_use_jwt_access=True) use_jwt.assert_called_once_with(True) with mock.patch.object( service_account.Credentials, "with_always_use_jwt_access", create=True ) as use_jwt: creds = service_account.Credentials(None, None, None) transport = transport_class(credentials=creds, always_use_jwt_access=False) use_jwt.assert_not_called() @pytest.mark.parametrize( "client_class,transport_name", [ (VersionsClient, "grpc"), (VersionsAsyncClient, "grpc_asyncio"), ], ) def test_versions_client_from_service_account_file(client_class, transport_name): creds = ga_credentials.AnonymousCredentials() with mock.patch.object( service_account.Credentials, "from_service_account_file" ) as factory: factory.return_value = creds client = client_class.from_service_account_file( "dummy/file/path.json", transport=transport_name ) assert client.transport._credentials == creds assert isinstance(client, client_class) client = client_class.from_service_account_json( "dummy/file/path.json", transport=transport_name ) assert client.transport._credentials == creds assert isinstance(client, client_class) assert client.transport._host == ("dialogflow.googleapis.com:443") def test_versions_client_get_transport_class(): transport = VersionsClient.get_transport_class() available_transports = [ transports.VersionsGrpcTransport, ] assert transport in available_transports transport = VersionsClient.get_transport_class("grpc") assert transport == transports.VersionsGrpcTransport @pytest.mark.parametrize( "client_class,transport_class,transport_name", [ (VersionsClient, transports.VersionsGrpcTransport, "grpc"), (VersionsAsyncClient, transports.VersionsGrpcAsyncIOTransport, "grpc_asyncio"), ], ) @mock.patch.object( VersionsClient, "DEFAULT_ENDPOINT", modify_default_endpoint(VersionsClient) ) @mock.patch.object( VersionsAsyncClient, "DEFAULT_ENDPOINT", modify_default_endpoint(VersionsAsyncClient), ) def test_versions_client_client_options(client_class, transport_class, transport_name): with mock.patch.object(VersionsClient, "get_transport_class") as gtc: transport = transport_class(credentials=ga_credentials.AnonymousCredentials()) client = client_class(transport=transport) gtc.assert_not_called() # Check that if channel is provided via str we will create a new one. with mock.patch.object(VersionsClient, "get_transport_class") as gtc: client = client_class(transport=transport_name) gtc.assert_called() # Check the case api_endpoint is provided. options = client_options.ClientOptions(api_endpoint="squid.clam.whelk") with mock.patch.object(transport_class, "__init__") as patched: patched.return_value = None client = client_class(transport=transport_name, client_options=options) patched.assert_called_once_with( credentials=None, credentials_file=None, host="squid.clam.whelk", scopes=None, client_cert_source_for_mtls=None, quota_project_id=None, client_info=transports.base.DEFAULT_CLIENT_INFO, always_use_jwt_access=True, ) # Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT is # "never". with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "never"}): with mock.patch.object(transport_class, "__init__") as patched: patched.return_value = None client = client_class(transport=transport_name) patched.assert_called_once_with( credentials=None, credentials_file=None, host=client.DEFAULT_ENDPOINT, scopes=None, client_cert_source_for_mtls=None, quota_project_id=None, client_info=transports.base.DEFAULT_CLIENT_INFO, always_use_jwt_access=True, ) # Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT is # "always". with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "always"}): with mock.patch.object(transport_class, "__init__") as patched: patched.return_value = None client = client_class(transport=transport_name) patched.assert_called_once_with( credentials=None, credentials_file=None, host=client.DEFAULT_MTLS_ENDPOINT, scopes=None, client_cert_source_for_mtls=None, quota_project_id=None, client_info=transports.base.DEFAULT_CLIENT_INFO, always_use_jwt_access=True, ) # Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT has # unsupported value. with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "Unsupported"}): with pytest.raises(MutualTLSChannelError): client = client_class(transport=transport_name) # Check the case GOOGLE_API_USE_CLIENT_CERTIFICATE has unsupported value. with mock.patch.dict( os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "Unsupported"} ): with pytest.raises(ValueError): client = client_class(transport=transport_name) # Check the case quota_project_id is provided options = client_options.ClientOptions(quota_project_id="octopus") with mock.patch.object(transport_class, "__init__") as patched: patched.return_value = None client = client_class(client_options=options, transport=transport_name) patched.assert_called_once_with( credentials=None, credentials_file=None, host=client.DEFAULT_ENDPOINT, scopes=None, client_cert_source_for_mtls=None, quota_project_id="octopus", client_info=transports.base.DEFAULT_CLIENT_INFO, always_use_jwt_access=True, ) @pytest.mark.parametrize( "client_class,transport_class,transport_name,use_client_cert_env", [ (VersionsClient, transports.VersionsGrpcTransport, "grpc", "true"), ( VersionsAsyncClient, transports.VersionsGrpcAsyncIOTransport, "grpc_asyncio", "true", ), (VersionsClient, transports.VersionsGrpcTransport, "grpc", "false"), ( VersionsAsyncClient, transports.VersionsGrpcAsyncIOTransport, "grpc_asyncio", "false", ), ], ) @mock.patch.object( VersionsClient, "DEFAULT_ENDPOINT", modify_default_endpoint(VersionsClient) ) @mock.patch.object( VersionsAsyncClient, "DEFAULT_ENDPOINT", modify_default_endpoint(VersionsAsyncClient), ) @mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "auto"}) def test_versions_client_mtls_env_auto( client_class, transport_class, transport_name, use_client_cert_env ): # This tests the endpoint autoswitch behavior. Endpoint is autoswitched to the default # mtls endpoint, if GOOGLE_API_USE_CLIENT_CERTIFICATE is "true" and client cert exists. # Check the case client_cert_source is provided. Whether client cert is used depends on # GOOGLE_API_USE_CLIENT_CERTIFICATE value. with mock.patch.dict( os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": use_client_cert_env} ): options = client_options.ClientOptions( client_cert_source=client_cert_source_callback ) with mock.patch.object(transport_class, "__init__") as patched: patched.return_value = None client = client_class(client_options=options, transport=transport_name) if use_client_cert_env == "false": expected_client_cert_source = None expected_host = client.DEFAULT_ENDPOINT else: expected_client_cert_source = client_cert_source_callback expected_host = client.DEFAULT_MTLS_ENDPOINT patched.assert_called_once_with( credentials=None, credentials_file=None, host=expected_host, scopes=None, client_cert_source_for_mtls=expected_client_cert_source, quota_project_id=None, client_info=transports.base.DEFAULT_CLIENT_INFO, always_use_jwt_access=True, ) # Check the case ADC client cert is provided. Whether client cert is used depends on # GOOGLE_API_USE_CLIENT_CERTIFICATE value. with mock.patch.dict( os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": use_client_cert_env} ): with mock.patch.object(transport_class, "__init__") as patched: with mock.patch( "google.auth.transport.mtls.has_default_client_cert_source", return_value=True, ): with mock.patch( "google.auth.transport.mtls.default_client_cert_source", return_value=client_cert_source_callback, ): if use_client_cert_env == "false": expected_host = client.DEFAULT_ENDPOINT expected_client_cert_source = None else: expected_host = client.DEFAULT_MTLS_ENDPOINT expected_client_cert_source = client_cert_source_callback patched.return_value = None client = client_class(transport=transport_name) patched.assert_called_once_with( credentials=None, credentials_file=None, host=expected_host, scopes=None, client_cert_source_for_mtls=expected_client_cert_source, quota_project_id=None, client_info=transports.base.DEFAULT_CLIENT_INFO, always_use_jwt_access=True, ) # Check the case client_cert_source and ADC client cert are not provided. with mock.patch.dict( os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": use_client_cert_env} ): with mock.patch.object(transport_class, "__init__") as patched: with mock.patch( "google.auth.transport.mtls.has_default_client_cert_source", return_value=False, ): patched.return_value = None client = client_class(transport=transport_name) patched.assert_called_once_with( credentials=None, credentials_file=None, host=client.DEFAULT_ENDPOINT, scopes=None, client_cert_source_for_mtls=None, quota_project_id=None, client_info=transports.base.DEFAULT_CLIENT_INFO, always_use_jwt_access=True, ) @pytest.mark.parametrize("client_class", [VersionsClient, VersionsAsyncClient]) @mock.patch.object( VersionsClient, "DEFAULT_ENDPOINT", modify_default_endpoint(VersionsClient) ) @mock.patch.object( VersionsAsyncClient, "DEFAULT_ENDPOINT", modify_default_endpoint(VersionsAsyncClient), ) def test_versions_client_get_mtls_endpoint_and_cert_source(client_class): mock_client_cert_source = mock.Mock() # Test the case GOOGLE_API_USE_CLIENT_CERTIFICATE is "true". with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}): mock_api_endpoint = "foo" options = client_options.ClientOptions( client_cert_source=mock_client_cert_source, api_endpoint=mock_api_endpoint ) api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source( options ) assert api_endpoint == mock_api_endpoint assert cert_source == mock_client_cert_source # Test the case GOOGLE_API_USE_CLIENT_CERTIFICATE is "false". with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "false"}): mock_client_cert_source = mock.Mock() mock_api_endpoint = "foo" options = client_options.ClientOptions( client_cert_source=mock_client_cert_source, api_endpoint=mock_api_endpoint ) api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source( options ) assert api_endpoint == mock_api_endpoint assert cert_source is None # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "never". with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "never"}): api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source() assert api_endpoint == client_class.DEFAULT_ENDPOINT assert cert_source is None # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "always". with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "always"}): api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source() assert api_endpoint == client_class.DEFAULT_MTLS_ENDPOINT assert cert_source is None # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "auto" and default cert doesn't exist. with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}): with mock.patch( "google.auth.transport.mtls.has_default_client_cert_source", return_value=False, ): api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source() assert api_endpoint == client_class.DEFAULT_ENDPOINT assert cert_source is None with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}): with mock.patch( "google.auth.transport.mtls.has_default_client_cert_source", return_value=True, ): with mock.patch( "google.auth.transport.mtls.default_client_cert_source", return_value=mock_client_cert_source, ): ( api_endpoint, cert_source, ) = client_class.get_mtls_endpoint_and_cert_source() assert api_endpoint == client_class.DEFAULT_MTLS_ENDPOINT assert cert_source == mock_client_cert_source @pytest.mark.parametrize( "client_class,transport_class,transport_name", [ (VersionsClient, transports.VersionsGrpcTransport, "grpc"), (VersionsAsyncClient, transports.VersionsGrpcAsyncIOTransport, "grpc_asyncio"), ], ) def test_versions_client_client_options_scopes( client_class, transport_class, transport_name ): options = client_options.ClientOptions( scopes=["1", "2"], ) with mock.patch.object(transport_class, "__init__") as patched: patched.return_value = None client = client_class(client_options=options, transport=transport_name) patched.assert_called_once_with( credentials=None, credentials_file=None, host=client.DEFAULT_ENDPOINT, scopes=["1", "2"], client_cert_source_for_mtls=None, quota_project_id=None, client_info=transports.base.DEFAULT_CLIENT_INFO, always_use_jwt_access=True, ) @pytest.mark.parametrize( "client_class,transport_class,transport_name,grpc_helpers", [ (VersionsClient, transports.VersionsGrpcTransport, "grpc", grpc_helpers), ( VersionsAsyncClient, transports.VersionsGrpcAsyncIOTransport, "grpc_asyncio", grpc_helpers_async, ), ], ) def test_versions_client_client_options_credentials_file( client_class, transport_class, transport_name, grpc_helpers ): options = client_options.ClientOptions(credentials_file="credentials.json") with mock.patch.object(transport_class, "__init__") as patched: patched.return_value = None client = client_class(client_options=options, transport=transport_name) patched.assert_called_once_with( credentials=None, credentials_file="credentials.json", host=client.DEFAULT_ENDPOINT, scopes=None, client_cert_source_for_mtls=None, quota_project_id=None, client_info=transports.base.DEFAULT_CLIENT_INFO, always_use_jwt_access=True, ) def test_versions_client_client_options_from_dict(): with mock.patch( "google.cloud.dialogflow_v2.services.versions.transports.VersionsGrpcTransport.__init__" ) as grpc_transport: grpc_transport.return_value = None client = VersionsClient(client_options={"api_endpoint": "squid.clam.whelk"}) grpc_transport.assert_called_once_with( credentials=None, credentials_file=None, host="squid.clam.whelk", scopes=None, client_cert_source_for_mtls=None, quota_project_id=None, client_info=transports.base.DEFAULT_CLIENT_INFO, always_use_jwt_access=True, ) @pytest.mark.parametrize( "client_class,transport_class,transport_name,grpc_helpers", [ (VersionsClient, transports.VersionsGrpcTransport, "grpc", grpc_helpers), ( VersionsAsyncClient, transports.VersionsGrpcAsyncIOTransport, "grpc_asyncio", grpc_helpers_async, ), ], ) def test_versions_client_create_channel_credentials_file( client_class, transport_class, transport_name, grpc_helpers ): options = client_options.ClientOptions(credentials_file="credentials.json") with mock.patch.object(transport_class, "__init__") as patched: patched.return_value = None client = client_class(client_options=options, transport=transport_name) patched.assert_called_once_with( credentials=None, credentials_file="credentials.json", host=client.DEFAULT_ENDPOINT, scopes=None, client_cert_source_for_mtls=None, quota_project_id=None, client_info=transports.base.DEFAULT_CLIENT_INFO, always_use_jwt_access=True, ) with mock.patch.object( google.auth, "load_credentials_from_file", autospec=True ) as load_creds, mock.patch.object( google.auth, "default", autospec=True ) as adc, mock.patch.object( grpc_helpers, "create_channel" ) as create_channel: creds = ga_credentials.AnonymousCredentials() file_creds = ga_credentials.AnonymousCredentials() load_creds.return_value = (file_creds, None) adc.return_value = (creds, None) client = client_class(client_options=options, transport=transport_name) create_channel.assert_called_with( "dialogflow.googleapis.com:443", credentials=file_creds, credentials_file=None, quota_project_id=None, default_scopes=( "https://www.googleapis.com/auth/cloud-platform", "https://www.googleapis.com/auth/dialogflow", ), scopes=None, default_host="dialogflow.googleapis.com", ssl_credentials=None, options=[ ("grpc.max_send_message_length", -1), ("grpc.max_receive_message_length", -1), ], ) @pytest.mark.parametrize( "request_type", [ version.ListVersionsRequest, dict, ], ) def test_list_versions(request_type, transport: str = "grpc"): client = VersionsClient( credentials=ga_credentials.AnonymousCredentials(), transport=transport, ) request = request_type() with mock.patch.object(type(client.transport.list_versions), "__call__") as call: call.return_value = version.ListVersionsResponse( next_page_token="next_page_token_value", ) response = client.list_versions(request) assert len(call.mock_calls) == 1 _, args, _ = call.mock_calls[0] assert args[0] == version.ListVersionsRequest() assert isinstance(response, pagers.ListVersionsPager) assert response.next_page_token == "next_page_token_value" def test_list_versions_empty_call(): client = VersionsClient( credentials=ga_credentials.AnonymousCredentials(), transport="grpc", ) with mock.patch.object(type(client.transport.list_versions), "__call__") as call: client.list_versions() call.assert_called() _, args, _ = call.mock_calls[0] assert args[0] == version.ListVersionsRequest() @pytest.mark.asyncio async def test_list_versions_async( transport: str = "grpc_asyncio", request_type=version.ListVersionsRequest ): client = VersionsAsyncClient( credentials=ga_credentials.AnonymousCredentials(), transport=transport, ) request = request_type() with mock.patch.object(type(client.transport.list_versions), "__call__") as call: call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( version.ListVersionsResponse( next_page_token="next_page_token_value", ) ) response = await client.list_versions(request) assert len(call.mock_calls) _, args, _ = call.mock_calls[0] assert args[0] == version.ListVersionsRequest() assert isinstance(response, pagers.ListVersionsAsyncPager) assert response.next_page_token == "next_page_token_value" @pytest.mark.asyncio async def test_list_versions_async_from_dict(): await test_list_versions_async(request_type=dict) def test_list_versions_field_headers(): client = VersionsClient( credentials=ga_credentials.AnonymousCredentials(), ) request = version.ListVersionsRequest() request.parent = "parent_value" with mock.patch.object(type(client.transport.list_versions), "__call__") as call: call.return_value = version.ListVersionsResponse() client.list_versions(request) assert len(call.mock_calls) == 1 _, args, _ = call.mock_calls[0] assert args[0] == request _, _, kw = call.mock_calls[0] assert ( "x-goog-request-params", "parent=parent_value", ) in kw["metadata"] @pytest.mark.asyncio async def test_list_versions_field_headers_async(): client = VersionsAsyncClient( credentials=ga_credentials.AnonymousCredentials(), ) request = version.ListVersionsRequest() request.parent = "parent_value" with mock.patch.object(type(client.transport.list_versions), "__call__") as call: call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( version.ListVersionsResponse() ) await client.list_versions(request) assert len(call.mock_calls) _, args, _ = call.mock_calls[0] assert args[0] == request _, _, kw = call.mock_calls[0] assert ( "x-goog-request-params", "parent=parent_value", ) in kw["metadata"] def test_list_versions_flattened(): client = VersionsClient( credentials=ga_credentials.AnonymousCredentials(), ) with mock.patch.object(type(client.transport.list_versions), "__call__") as call: call.return_value = version.ListVersionsResponse() client.list_versions( parent="parent_value", ) assert len(call.mock_calls) == 1 _, args, _ = call.mock_calls[0] arg = args[0].parent mock_val = "parent_value" assert arg == mock_val def test_list_versions_flattened_error(): client = VersionsClient( credentials=ga_credentials.AnonymousCredentials(), ) with pytest.raises(ValueError): client.list_versions( version.ListVersionsRequest(), parent="parent_value", ) @pytest.mark.asyncio async def test_list_versions_flattened_async(): client = VersionsAsyncClient( credentials=ga_credentials.AnonymousCredentials(), ) with mock.patch.object(type(client.transport.list_versions), "__call__") as call: call.return_value = version.ListVersionsResponse() call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( version.ListVersionsResponse() ) response = await client.list_versions( parent="parent_value", ) assert len(call.mock_calls) _, args, _ = call.mock_calls[0] arg = args[0].parent mock_val = "parent_value" assert arg == mock_val @pytest.mark.asyncio async def test_list_versions_flattened_error_async(): client = VersionsAsyncClient( credentials=ga_credentials.AnonymousCredentials(), ) with pytest.raises(ValueError): await client.list_versions( version.ListVersionsRequest(), parent="parent_value", ) def test_list_versions_pager(transport_name: str = "grpc"): client = VersionsClient( credentials=ga_credentials.AnonymousCredentials, transport=transport_name, ) with mock.patch.object(type(client.transport.list_versions), "__call__") as call: call.side_effect = ( version.ListVersionsResponse( versions=[ version.Version(), version.Version(), version.Version(), ], next_page_token="abc", ), version.ListVersionsResponse( versions=[], next_page_token="def", ), version.ListVersionsResponse( versions=[ version.Version(), ], next_page_token="ghi", ), version.ListVersionsResponse( versions=[ version.Version(), version.Version(), ], ), RuntimeError, ) metadata = () metadata = tuple(metadata) + ( gapic_v1.routing_header.to_grpc_metadata((("parent", ""),)), ) pager = client.list_versions(request={}) assert pager._metadata == metadata results = list(pager) assert len(results) == 6 assert all(isinstance(i, version.Version) for i in results) def test_list_versions_pages(transport_name: str = "grpc"): client = VersionsClient( credentials=ga_credentials.AnonymousCredentials, transport=transport_name, ) with mock.patch.object(type(client.transport.list_versions), "__call__") as call: call.side_effect = ( version.ListVersionsResponse( versions=[ version.Version(), version.Version(), version.Version(), ], next_page_token="abc", ), version.ListVersionsResponse( versions=[], next_page_token="def", ), version.ListVersionsResponse( versions=[ version.Version(), ], next_page_token="ghi", ), version.ListVersionsResponse( versions=[ version.Version(), version.Version(), ], ), RuntimeError, ) pages = list(client.list_versions(request={}).pages) for page_, token in zip(pages, ["abc", "def", "ghi", ""]): assert page_.raw_page.next_page_token == token @pytest.mark.asyncio async def test_list_versions_async_pager(): client = VersionsAsyncClient( credentials=ga_credentials.AnonymousCredentials, ) with mock.patch.object( type(client.transport.list_versions), "__call__", new_callable=mock.AsyncMock ) as call: call.side_effect = ( version.ListVersionsResponse( versions=[ version.Version(), version.Version(), version.Version(), ], next_page_token="abc", ), version.ListVersionsResponse( versions=[], next_page_token="def", ), version.ListVersionsResponse( versions=[ version.Version(), ], next_page_token="ghi", ), version.ListVersionsResponse( versions=[ version.Version(), version.Version(), ], ), RuntimeError, ) async_pager = await client.list_versions( request={}, ) assert async_pager.next_page_token == "abc" responses = [] async for response in async_pager: responses.append(response) assert len(responses) == 6 assert all(isinstance(i, version.Version) for i in responses) @pytest.mark.asyncio async def test_list_versions_async_pages(): client = VersionsAsyncClient( credentials=ga_credentials.AnonymousCredentials, ) with mock.patch.object( type(client.transport.list_versions), "__call__", new_callable=mock.AsyncMock ) as call: call.side_effect = ( version.ListVersionsResponse( versions=[ version.Version(), version.Version(), version.Version(), ], next_page_token="abc", ), version.ListVersionsResponse( versions=[], next_page_token="def", ), version.ListVersionsResponse( versions=[ version.Version(), ], next_page_token="ghi", ), version.ListVersionsResponse( versions=[ version.Version(), version.Version(), ], ), RuntimeError, ) pages = [] async for page_ in ( await client.list_versions(request={}) ).pages: pages.append(page_) for page_, token in zip(pages, ["abc", "def", "ghi", ""]): assert page_.raw_page.next_page_token == token @pytest.mark.parametrize( "request_type", [ version.GetVersionRequest, dict, ], ) def test_get_version(request_type, transport: str = "grpc"): client = VersionsClient( credentials=ga_credentials.AnonymousCredentials(), transport=transport, ) request = request_type() with mock.patch.object(type(client.transport.get_version), "__call__") as call: call.return_value = version.Version( name="name_value", description="description_value", version_number=1518, status=version.Version.VersionStatus.IN_PROGRESS, ) response = client.get_version(request) assert len(call.mock_calls) == 1 _, args, _ = call.mock_calls[0] assert args[0] == version.GetVersionRequest() assert isinstance(response, version.Version) assert response.name == "name_value" assert response.description == "description_value" assert response.version_number == 1518 assert response.status == version.Version.VersionStatus.IN_PROGRESS def test_get_version_empty_call(): client = VersionsClient( credentials=ga_credentials.AnonymousCredentials(), transport="grpc", ) with mock.patch.object(type(client.transport.get_version), "__call__") as call: client.get_version() call.assert_called() _, args, _ = call.mock_calls[0] assert args[0] == version.GetVersionRequest() @pytest.mark.asyncio async def test_get_version_async( transport: str = "grpc_asyncio", request_type=version.GetVersionRequest ): client = VersionsAsyncClient( credentials=ga_credentials.AnonymousCredentials(), transport=transport, ) request = request_type() with mock.patch.object(type(client.transport.get_version), "__call__") as call: call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( version.Version( name="name_value", description="description_value", version_number=1518, status=version.Version.VersionStatus.IN_PROGRESS, ) ) response = await client.get_version(request) assert len(call.mock_calls) _, args, _ = call.mock_calls[0] assert args[0] == version.GetVersionRequest() assert isinstance(response, version.Version) assert response.name == "name_value" assert response.description == "description_value" assert response.version_number == 1518 assert response.status == version.Version.VersionStatus.IN_PROGRESS @pytest.mark.asyncio async def test_get_version_async_from_dict(): await test_get_version_async(request_type=dict) def test_get_version_field_headers(): client = VersionsClient( credentials=ga_credentials.AnonymousCredentials(), ) request = version.GetVersionRequest() request.name = "name_value" with mock.patch.object(type(client.transport.get_version), "__call__") as call: call.return_value = version.Version() client.get_version(request) assert len(call.mock_calls) == 1 _, args, _ = call.mock_calls[0] assert args[0] == request _, _, kw = call.mock_calls[0] assert ( "x-goog-request-params", "name=name_value", ) in kw["metadata"] @pytest.mark.asyncio async def test_get_version_field_headers_async(): client = VersionsAsyncClient( credentials=ga_credentials.AnonymousCredentials(), ) request = version.GetVersionRequest() request.name = "name_value" with mock.patch.object(type(client.transport.get_version), "__call__") as call: call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(version.Version()) await client.get_version(request) assert len(call.mock_calls) _, args, _ = call.mock_calls[0] assert args[0] == request _, _, kw = call.mock_calls[0] assert ( "x-goog-request-params", "name=name_value", ) in kw["metadata"] def test_get_version_flattened(): client = VersionsClient( credentials=ga_credentials.AnonymousCredentials(), ) with mock.patch.object(type(client.transport.get_version), "__call__") as call: call.return_value = version.Version() client.get_version( name="name_value", ) assert len(call.mock_calls) == 1 _, args, _ = call.mock_calls[0] arg = args[0].name mock_val = "name_value" assert arg == mock_val def test_get_version_flattened_error(): client = VersionsClient( credentials=ga_credentials.AnonymousCredentials(), ) with pytest.raises(ValueError): client.get_version( version.GetVersionRequest(), name="name_value", ) @pytest.mark.asyncio async def test_get_version_flattened_async(): client = VersionsAsyncClient( credentials=ga_credentials.AnonymousCredentials(), ) with mock.patch.object(type(client.transport.get_version), "__call__") as call: call.return_value = version.Version() call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(version.Version()) response = await client.get_version( name="name_value", ) assert len(call.mock_calls) _, args, _ = call.mock_calls[0] arg = args[0].name mock_val = "name_value" assert arg == mock_val @pytest.mark.asyncio async def test_get_version_flattened_error_async(): client = VersionsAsyncClient( credentials=ga_credentials.AnonymousCredentials(), ) with pytest.raises(ValueError): await client.get_version( version.GetVersionRequest(), name="name_value", ) @pytest.mark.parametrize( "request_type", [ gcd_version.CreateVersionRequest, dict, ], ) def test_create_version(request_type, transport: str = "grpc"): client = VersionsClient( credentials=ga_credentials.AnonymousCredentials(), transport=transport, ) request = request_type() with mock.patch.object(type(client.transport.create_version), "__call__") as call: call.return_value = gcd_version.Version( name="name_value", description="description_value", version_number=1518, status=gcd_version.Version.VersionStatus.IN_PROGRESS, ) response = client.create_version(request) assert len(call.mock_calls) == 1 _, args, _ = call.mock_calls[0] assert args[0] == gcd_version.CreateVersionRequest() assert isinstance(response, gcd_version.Version) assert response.name == "name_value" assert response.description == "description_value" assert response.version_number == 1518 assert response.status == gcd_version.Version.VersionStatus.IN_PROGRESS def test_create_version_empty_call(): client = VersionsClient( credentials=ga_credentials.AnonymousCredentials(), transport="grpc", ) with mock.patch.object(type(client.transport.create_version), "__call__") as call: client.create_version() call.assert_called() _, args, _ = call.mock_calls[0] assert args[0] == gcd_version.CreateVersionRequest() @pytest.mark.asyncio async def test_create_version_async( transport: str = "grpc_asyncio", request_type=gcd_version.CreateVersionRequest ): client = VersionsAsyncClient( credentials=ga_credentials.AnonymousCredentials(), transport=transport, ) request = request_type() with mock.patch.object(type(client.transport.create_version), "__call__") as call: call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( gcd_version.Version( name="name_value", description="description_value", version_number=1518, status=gcd_version.Version.VersionStatus.IN_PROGRESS, ) ) response = await client.create_version(request) assert len(call.mock_calls) _, args, _ = call.mock_calls[0] assert args[0] == gcd_version.CreateVersionRequest() assert isinstance(response, gcd_version.Version) assert response.name == "name_value" assert response.description == "description_value" assert response.version_number == 1518 assert response.status == gcd_version.Version.VersionStatus.IN_PROGRESS @pytest.mark.asyncio async def test_create_version_async_from_dict(): await test_create_version_async(request_type=dict) def test_create_version_field_headers(): client = VersionsClient( credentials=ga_credentials.AnonymousCredentials(), ) request = gcd_version.CreateVersionRequest() request.parent = "parent_value" with mock.patch.object(type(client.transport.create_version), "__call__") as call: call.return_value = gcd_version.Version() client.create_version(request) assert len(call.mock_calls) == 1 _, args, _ = call.mock_calls[0] assert args[0] == request _, _, kw = call.mock_calls[0] assert ( "x-goog-request-params", "parent=parent_value", ) in kw["metadata"] @pytest.mark.asyncio async def test_create_version_field_headers_async(): client = VersionsAsyncClient( credentials=ga_credentials.AnonymousCredentials(), ) request = gcd_version.CreateVersionRequest() request.parent = "parent_value" with mock.patch.object(type(client.transport.create_version), "__call__") as call: call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(gcd_version.Version()) await client.create_version(request) assert len(call.mock_calls) _, args, _ = call.mock_calls[0] assert args[0] == request _, _, kw = call.mock_calls[0] assert ( "x-goog-request-params", "parent=parent_value", ) in kw["metadata"] def test_create_version_flattened(): client = VersionsClient( credentials=ga_credentials.AnonymousCredentials(), ) with mock.patch.object(type(client.transport.create_version), "__call__") as call: call.return_value = gcd_version.Version() client.create_version( parent="parent_value", version=gcd_version.Version(name="name_value"), ) assert len(call.mock_calls) == 1 _, args, _ = call.mock_calls[0] arg = args[0].parent mock_val = "parent_value" assert arg == mock_val arg = args[0].version mock_val = gcd_version.Version(name="name_value") assert arg == mock_val def test_create_version_flattened_error(): client = VersionsClient( credentials=ga_credentials.AnonymousCredentials(), ) with pytest.raises(ValueError): client.create_version( gcd_version.CreateVersionRequest(), parent="parent_value", version=gcd_version.Version(name="name_value"), ) @pytest.mark.asyncio async def test_create_version_flattened_async(): client = VersionsAsyncClient( credentials=ga_credentials.AnonymousCredentials(), ) with mock.patch.object(type(client.transport.create_version), "__call__") as call: call.return_value = gcd_version.Version() call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(gcd_version.Version()) response = await client.create_version( parent="parent_value", version=gcd_version.Version(name="name_value"), ) assert len(call.mock_calls) _, args, _ = call.mock_calls[0] arg = args[0].parent mock_val = "parent_value" assert arg == mock_val arg = args[0].version mock_val = gcd_version.Version(name="name_value") assert arg == mock_val @pytest.mark.asyncio async def test_create_version_flattened_error_async(): client = VersionsAsyncClient( credentials=ga_credentials.AnonymousCredentials(), ) with pytest.raises(ValueError): await client.create_version( gcd_version.CreateVersionRequest(), parent="parent_value", version=gcd_version.Version(name="name_value"), ) @pytest.mark.parametrize( "request_type", [ gcd_version.UpdateVersionRequest, dict, ], ) def test_update_version(request_type, transport: str = "grpc"): client = VersionsClient( credentials=ga_credentials.AnonymousCredentials(), transport=transport, ) request = request_type() with mock.patch.object(type(client.transport.update_version), "__call__") as call: call.return_value = gcd_version.Version( name="name_value", description="description_value", version_number=1518, status=gcd_version.Version.VersionStatus.IN_PROGRESS, ) response = client.update_version(request) assert len(call.mock_calls) == 1 _, args, _ = call.mock_calls[0] assert args[0] == gcd_version.UpdateVersionRequest() assert isinstance(response, gcd_version.Version) assert response.name == "name_value" assert response.description == "description_value" assert response.version_number == 1518 assert response.status == gcd_version.Version.VersionStatus.IN_PROGRESS def test_update_version_empty_call(): client = VersionsClient( credentials=ga_credentials.AnonymousCredentials(), transport="grpc", ) with mock.patch.object(type(client.transport.update_version), "__call__") as call: client.update_version() call.assert_called() _, args, _ = call.mock_calls[0] assert args[0] == gcd_version.UpdateVersionRequest() @pytest.mark.asyncio async def test_update_version_async( transport: str = "grpc_asyncio", request_type=gcd_version.UpdateVersionRequest ): client = VersionsAsyncClient( credentials=ga_credentials.AnonymousCredentials(), transport=transport, ) request = request_type() with mock.patch.object(type(client.transport.update_version), "__call__") as call: call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( gcd_version.Version( name="name_value", description="description_value", version_number=1518, status=gcd_version.Version.VersionStatus.IN_PROGRESS, ) ) response = await client.update_version(request) assert len(call.mock_calls) _, args, _ = call.mock_calls[0] assert args[0] == gcd_version.UpdateVersionRequest() assert isinstance(response, gcd_version.Version) assert response.name == "name_value" assert response.description == "description_value" assert response.version_number == 1518 assert response.status == gcd_version.Version.VersionStatus.IN_PROGRESS @pytest.mark.asyncio async def test_update_version_async_from_dict(): await test_update_version_async(request_type=dict) def test_update_version_field_headers(): client = VersionsClient( credentials=ga_credentials.AnonymousCredentials(), ) request = gcd_version.UpdateVersionRequest() request.version.name = "name_value" with mock.patch.object(type(client.transport.update_version), "__call__") as call: call.return_value = gcd_version.Version() client.update_version(request) assert len(call.mock_calls) == 1 _, args, _ = call.mock_calls[0] assert args[0] == request _, _, kw = call.mock_calls[0] assert ( "x-goog-request-params", "version.name=name_value", ) in kw["metadata"] @pytest.mark.asyncio async def test_update_version_field_headers_async(): client = VersionsAsyncClient( credentials=ga_credentials.AnonymousCredentials(), ) request = gcd_version.UpdateVersionRequest() request.version.name = "name_value" with mock.patch.object(type(client.transport.update_version), "__call__") as call: call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(gcd_version.Version()) await client.update_version(request) assert len(call.mock_calls) _, args, _ = call.mock_calls[0] assert args[0] == request _, _, kw = call.mock_calls[0] assert ( "x-goog-request-params", "version.name=name_value", ) in kw["metadata"] def test_update_version_flattened(): client = VersionsClient( credentials=ga_credentials.AnonymousCredentials(), ) with mock.patch.object(type(client.transport.update_version), "__call__") as call: call.return_value = gcd_version.Version() client.update_version( version=gcd_version.Version(name="name_value"), update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]), ) assert len(call.mock_calls) == 1 _, args, _ = call.mock_calls[0] arg = args[0].version mock_val = gcd_version.Version(name="name_value") assert arg == mock_val arg = args[0].update_mask mock_val = field_mask_pb2.FieldMask(paths=["paths_value"]) assert arg == mock_val def test_update_version_flattened_error(): client = VersionsClient( credentials=ga_credentials.AnonymousCredentials(), ) with pytest.raises(ValueError): client.update_version( gcd_version.UpdateVersionRequest(), version=gcd_version.Version(name="name_value"), update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]), ) @pytest.mark.asyncio async def test_update_version_flattened_async(): client = VersionsAsyncClient( credentials=ga_credentials.AnonymousCredentials(), ) with mock.patch.object(type(client.transport.update_version), "__call__") as call: call.return_value = gcd_version.Version() call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(gcd_version.Version()) response = await client.update_version( version=gcd_version.Version(name="name_value"), update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]), ) assert len(call.mock_calls) _, args, _ = call.mock_calls[0] arg = args[0].version mock_val = gcd_version.Version(name="name_value") assert arg == mock_val arg = args[0].update_mask mock_val = field_mask_pb2.FieldMask(paths=["paths_value"]) assert arg == mock_val @pytest.mark.asyncio async def test_update_version_flattened_error_async(): client = VersionsAsyncClient( credentials=ga_credentials.AnonymousCredentials(), ) with pytest.raises(ValueError): await client.update_version( gcd_version.UpdateVersionRequest(), version=gcd_version.Version(name="name_value"), update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]), ) @pytest.mark.parametrize( "request_type", [ version.DeleteVersionRequest, dict, ], ) def test_delete_version(request_type, transport: str = "grpc"): client = VersionsClient( credentials=ga_credentials.AnonymousCredentials(), transport=transport, ) request = request_type() with mock.patch.object(type(client.transport.delete_version), "__call__") as call: call.return_value = None response = client.delete_version(request) assert len(call.mock_calls) == 1 _, args, _ = call.mock_calls[0] assert args[0] == version.DeleteVersionRequest() assert response is None def test_delete_version_empty_call(): client = VersionsClient( credentials=ga_credentials.AnonymousCredentials(), transport="grpc", ) with mock.patch.object(type(client.transport.delete_version), "__call__") as call: client.delete_version() call.assert_called() _, args, _ = call.mock_calls[0] assert args[0] == version.DeleteVersionRequest() @pytest.mark.asyncio async def test_delete_version_async( transport: str = "grpc_asyncio", request_type=version.DeleteVersionRequest ): client = VersionsAsyncClient( credentials=ga_credentials.AnonymousCredentials(), transport=transport, ) request = request_type() with mock.patch.object(type(client.transport.delete_version), "__call__") as call: call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None) response = await client.delete_version(request) assert len(call.mock_calls) _, args, _ = call.mock_calls[0] assert args[0] == version.DeleteVersionRequest() assert response is None @pytest.mark.asyncio async def test_delete_version_async_from_dict(): await test_delete_version_async(request_type=dict) def test_delete_version_field_headers(): client = VersionsClient( credentials=ga_credentials.AnonymousCredentials(), ) request = version.DeleteVersionRequest() request.name = "name_value" with mock.patch.object(type(client.transport.delete_version), "__call__") as call: call.return_value = None client.delete_version(request) assert len(call.mock_calls) == 1 _, args, _ = call.mock_calls[0] assert args[0] == request _, _, kw = call.mock_calls[0] assert ( "x-goog-request-params", "name=name_value", ) in kw["metadata"] @pytest.mark.asyncio async def test_delete_version_field_headers_async(): client = VersionsAsyncClient( credentials=ga_credentials.AnonymousCredentials(), ) request = version.DeleteVersionRequest() request.name = "name_value" with mock.patch.object(type(client.transport.delete_version), "__call__") as call: call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None) await client.delete_version(request) assert len(call.mock_calls) _, args, _ = call.mock_calls[0] assert args[0] == request _, _, kw = call.mock_calls[0] assert ( "x-goog-request-params", "name=name_value", ) in kw["metadata"] def test_delete_version_flattened(): client = VersionsClient( credentials=ga_credentials.AnonymousCredentials(), ) with mock.patch.object(type(client.transport.delete_version), "__call__") as call: call.return_value = None client.delete_version( name="name_value", ) assert len(call.mock_calls) == 1 _, args, _ = call.mock_calls[0] arg = args[0].name mock_val = "name_value" assert arg == mock_val def test_delete_version_flattened_error(): client = VersionsClient( credentials=ga_credentials.AnonymousCredentials(), ) with pytest.raises(ValueError): client.delete_version( version.DeleteVersionRequest(), name="name_value", ) @pytest.mark.asyncio async def test_delete_version_flattened_async(): client = VersionsAsyncClient( credentials=ga_credentials.AnonymousCredentials(), ) with mock.patch.object(type(client.transport.delete_version), "__call__") as call: call.return_value = None call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None) response = await client.delete_version( name="name_value", ) assert len(call.mock_calls) _, args, _ = call.mock_calls[0] arg = args[0].name mock_val = "name_value" assert arg == mock_val @pytest.mark.asyncio async def test_delete_version_flattened_error_async(): client = VersionsAsyncClient( credentials=ga_credentials.AnonymousCredentials(), ) with pytest.raises(ValueError): await client.delete_version( version.DeleteVersionRequest(), name="name_value", ) def test_credentials_transport_error(): transport = transports.VersionsGrpcTransport( credentials=ga_credentials.AnonymousCredentials(), ) with pytest.raises(ValueError): client = VersionsClient( credentials=ga_credentials.AnonymousCredentials(), transport=transport, ) transport = transports.VersionsGrpcTransport( credentials=ga_credentials.AnonymousCredentials(), ) with pytest.raises(ValueError): client = VersionsClient( client_options={"credentials_file": "credentials.json"}, transport=transport, ) transport = transports.VersionsGrpcTransport( credentials=ga_credentials.AnonymousCredentials(), ) options = client_options.ClientOptions() options.api_key = "api_key" with pytest.raises(ValueError): client = VersionsClient( client_options=options, transport=transport, ) options = mock.Mock() options.api_key = "api_key" with pytest.raises(ValueError): client = VersionsClient( client_options=options, credentials=ga_credentials.AnonymousCredentials() ) transport = transports.VersionsGrpcTransport( credentials=ga_credentials.AnonymousCredentials(), ) with pytest.raises(ValueError): client = VersionsClient( client_options={"scopes": ["1", "2"]}, transport=transport, ) def test_transport_instance(): transport = transports.VersionsGrpcTransport( credentials=ga_credentials.AnonymousCredentials(), ) client = VersionsClient(transport=transport) assert client.transport is transport def test_transport_get_channel(): transport = transports.VersionsGrpcTransport( credentials=ga_credentials.AnonymousCredentials(), ) channel = transport.grpc_channel assert channel transport = transports.VersionsGrpcAsyncIOTransport( credentials=ga_credentials.AnonymousCredentials(), ) channel = transport.grpc_channel assert channel @pytest.mark.parametrize( "transport_class", [ transports.VersionsGrpcTransport, transports.VersionsGrpcAsyncIOTransport, ], ) def test_transport_adc(transport_class): with mock.patch.object(google.auth, "default") as adc: adc.return_value = (ga_credentials.AnonymousCredentials(), None) transport_class() adc.assert_called_once() @pytest.mark.parametrize( "transport_name", [ "grpc", ], ) def test_transport_kind(transport_name): transport = VersionsClient.get_transport_class(transport_name)( credentials=ga_credentials.AnonymousCredentials(), ) assert transport.kind == transport_name def test_transport_grpc_default(): client = VersionsClient( credentials=ga_credentials.AnonymousCredentials(), ) assert isinstance( client.transport, transports.VersionsGrpcTransport, ) def test_versions_base_transport_error(): with pytest.raises(core_exceptions.DuplicateCredentialArgs): transport = transports.VersionsTransport( credentials=ga_credentials.AnonymousCredentials(), credentials_file="credentials.json", ) def test_versions_base_transport(): with mock.patch( "google.cloud.dialogflow_v2.services.versions.transports.VersionsTransport.__init__" ) as Transport: Transport.return_value = None transport = transports.VersionsTransport( credentials=ga_credentials.AnonymousCredentials(), ) methods = ( "list_versions", "get_version", "create_version", "update_version", "delete_version", ) for method in methods: with pytest.raises(NotImplementedError): getattr(transport, method)(request=object()) with pytest.raises(NotImplementedError): transport.close() remainder = [ "kind", ] for r in remainder: with pytest.raises(NotImplementedError): getattr(transport, r)() def test_versions_base_transport_with_credentials_file(): with mock.patch.object( google.auth, "load_credentials_from_file", autospec=True ) as load_creds, mock.patch( "google.cloud.dialogflow_v2.services.versions.transports.VersionsTransport._prep_wrapped_messages" ) as Transport: Transport.return_value = None load_creds.return_value = (ga_credentials.AnonymousCredentials(), None) transport = transports.VersionsTransport( credentials_file="credentials.json", quota_project_id="octopus", ) load_creds.assert_called_once_with( "credentials.json", scopes=None, default_scopes=( "https://www.googleapis.com/auth/cloud-platform", "https://www.googleapis.com/auth/dialogflow", ), quota_project_id="octopus", ) def test_versions_base_transport_with_adc(): with mock.patch.object(google.auth, "default", autospec=True) as adc, mock.patch( "google.cloud.dialogflow_v2.services.versions.transports.VersionsTransport._prep_wrapped_messages" ) as Transport: Transport.return_value = None adc.return_value = (ga_credentials.AnonymousCredentials(), None) transport = transports.VersionsTransport() adc.assert_called_once() def test_versions_auth_adc(): with mock.patch.object(google.auth, "default", autospec=True) as adc: adc.return_value = (ga_credentials.AnonymousCredentials(), None) VersionsClient() adc.assert_called_once_with( scopes=None, default_scopes=( "https://www.googleapis.com/auth/cloud-platform", "https://www.googleapis.com/auth/dialogflow", ), quota_project_id=None, ) @pytest.mark.parametrize( "transport_class", [ transports.VersionsGrpcTransport, transports.VersionsGrpcAsyncIOTransport, ], ) def test_versions_transport_auth_adc(transport_class): with mock.patch.object(google.auth, "default", autospec=True) as adc: adc.return_value = (ga_credentials.AnonymousCredentials(), None) transport_class(quota_project_id="octopus", scopes=["1", "2"]) adc.assert_called_once_with( scopes=["1", "2"], default_scopes=( "https://www.googleapis.com/auth/cloud-platform", "https://www.googleapis.com/auth/dialogflow", ), quota_project_id="octopus", ) @pytest.mark.parametrize( "transport_class,grpc_helpers", [ (transports.VersionsGrpcTransport, grpc_helpers), (transports.VersionsGrpcAsyncIOTransport, grpc_helpers_async), ], ) def test_versions_transport_create_channel(transport_class, grpc_helpers): with mock.patch.object( google.auth, "default", autospec=True ) as adc, mock.patch.object( grpc_helpers, "create_channel", autospec=True ) as create_channel: creds = ga_credentials.AnonymousCredentials() adc.return_value = (creds, None) transport_class(quota_project_id="octopus", scopes=["1", "2"]) create_channel.assert_called_with( "dialogflow.googleapis.com:443", credentials=creds, credentials_file=None, quota_project_id="octopus", default_scopes=( "https://www.googleapis.com/auth/cloud-platform", "https://www.googleapis.com/auth/dialogflow", ), scopes=["1", "2"], default_host="dialogflow.googleapis.com", ssl_credentials=None, options=[ ("grpc.max_send_message_length", -1), ("grpc.max_receive_message_length", -1), ], ) @pytest.mark.parametrize( "transport_class", [transports.VersionsGrpcTransport, transports.VersionsGrpcAsyncIOTransport], ) def test_versions_grpc_transport_client_cert_source_for_mtls(transport_class): cred = ga_credentials.AnonymousCredentials() with mock.patch.object(transport_class, "create_channel") as mock_create_channel: mock_ssl_channel_creds = mock.Mock() transport_class( host="squid.clam.whelk", credentials=cred, ssl_channel_credentials=mock_ssl_channel_creds, ) mock_create_channel.assert_called_once_with( "squid.clam.whelk:443", credentials=cred, credentials_file=None, scopes=None, ssl_credentials=mock_ssl_channel_creds, quota_project_id=None, options=[ ("grpc.max_send_message_length", -1), ("grpc.max_receive_message_length", -1), ], ) with mock.patch.object(transport_class, "create_channel", return_value=mock.Mock()): with mock.patch("grpc.ssl_channel_credentials") as mock_ssl_cred: transport_class( credentials=cred, client_cert_source_for_mtls=client_cert_source_callback, ) expected_cert, expected_key = client_cert_source_callback() mock_ssl_cred.assert_called_once_with( certificate_chain=expected_cert, private_key=expected_key ) @pytest.mark.parametrize( "transport_name", [ "grpc", "grpc_asyncio", ], ) def test_versions_host_no_port(transport_name): client = VersionsClient( credentials=ga_credentials.AnonymousCredentials(), client_options=client_options.ClientOptions( api_endpoint="dialogflow.googleapis.com" ), transport=transport_name, ) assert client.transport._host == ("dialogflow.googleapis.com:443") @pytest.mark.parametrize( "transport_name", [ "grpc", "grpc_asyncio", ], ) def test_versions_host_with_port(transport_name): client = VersionsClient( credentials=ga_credentials.AnonymousCredentials(), client_options=client_options.ClientOptions( api_endpoint="dialogflow.googleapis.com:8000" ), transport=transport_name, ) assert client.transport._host == ("dialogflow.googleapis.com:8000") def test_versions_grpc_transport_channel(): channel = grpc.secure_channel("http://localhost/", grpc.local_channel_credentials()) transport = transports.VersionsGrpcTransport( host="squid.clam.whelk", channel=channel, ) assert transport.grpc_channel == channel assert transport._host == "squid.clam.whelk:443" assert transport._ssl_channel_credentials == None def test_versions_grpc_asyncio_transport_channel(): channel = aio.secure_channel("http://localhost/", grpc.local_channel_credentials()) transport = transports.VersionsGrpcAsyncIOTransport( host="squid.clam.whelk", channel=channel, ) assert transport.grpc_channel == channel assert transport._host == "squid.clam.whelk:443" assert transport._ssl_channel_credentials == None @pytest.mark.parametrize( "transport_class", [transports.VersionsGrpcTransport, transports.VersionsGrpcAsyncIOTransport], ) def test_versions_transport_channel_mtls_with_client_cert_source(transport_class): with mock.patch( "grpc.ssl_channel_credentials", autospec=True ) as grpc_ssl_channel_cred: with mock.patch.object( transport_class, "create_channel" ) as grpc_create_channel: mock_ssl_cred = mock.Mock() grpc_ssl_channel_cred.return_value = mock_ssl_cred mock_grpc_channel = mock.Mock() grpc_create_channel.return_value = mock_grpc_channel cred = ga_credentials.AnonymousCredentials() with pytest.warns(DeprecationWarning): with mock.patch.object(google.auth, "default") as adc: adc.return_value = (cred, None) transport = transport_class( host="squid.clam.whelk", api_mtls_endpoint="mtls.squid.clam.whelk", client_cert_source=client_cert_source_callback, ) adc.assert_called_once() grpc_ssl_channel_cred.assert_called_once_with( certificate_chain=b"cert bytes", private_key=b"key bytes" ) grpc_create_channel.assert_called_once_with( "mtls.squid.clam.whelk:443", credentials=cred, credentials_file=None, scopes=None, ssl_credentials=mock_ssl_cred, quota_project_id=None, options=[ ("grpc.max_send_message_length", -1), ("grpc.max_receive_message_length", -1), ], ) assert transport.grpc_channel == mock_grpc_channel assert transport._ssl_channel_credentials == mock_ssl_cred @pytest.mark.parametrize( "transport_class", [transports.VersionsGrpcTransport, transports.VersionsGrpcAsyncIOTransport], ) def test_versions_transport_channel_mtls_with_adc(transport_class): mock_ssl_cred = mock.Mock() with mock.patch.multiple( "google.auth.transport.grpc.SslCredentials", __init__=mock.Mock(return_value=None), ssl_credentials=mock.PropertyMock(return_value=mock_ssl_cred), ): with mock.patch.object( transport_class, "create_channel" ) as grpc_create_channel: mock_grpc_channel = mock.Mock() grpc_create_channel.return_value = mock_grpc_channel mock_cred = mock.Mock() with pytest.warns(DeprecationWarning): transport = transport_class( host="squid.clam.whelk", credentials=mock_cred, api_mtls_endpoint="mtls.squid.clam.whelk", client_cert_source=None, ) grpc_create_channel.assert_called_once_with( "mtls.squid.clam.whelk:443", credentials=mock_cred, credentials_file=None, scopes=None, ssl_credentials=mock_ssl_cred, quota_project_id=None, options=[ ("grpc.max_send_message_length", -1), ("grpc.max_receive_message_length", -1), ], ) assert transport.grpc_channel == mock_grpc_channel def test_version_path(): project = "squid" version = "clam" expected = "projects/{project}/agent/versions/{version}".format( project=project, version=version, ) actual = VersionsClient.version_path(project, version) assert expected == actual def test_parse_version_path(): expected = { "project": "whelk", "version": "octopus", } path = VersionsClient.version_path(**expected) actual = VersionsClient.parse_version_path(path) assert expected == actual def test_common_billing_account_path(): billing_account = "oyster" expected = "billingAccounts/{billing_account}".format( billing_account=billing_account, ) actual = VersionsClient.common_billing_account_path(billing_account) assert expected == actual def test_parse_common_billing_account_path(): expected = { "billing_account": "nudibranch", } path = VersionsClient.common_billing_account_path(**expected) actual = VersionsClient.parse_common_billing_account_path(path) assert expected == actual def test_common_folder_path(): folder = "cuttlefish" expected = "folders/{folder}".format( folder=folder, ) actual = VersionsClient.common_folder_path(folder) assert expected == actual def test_parse_common_folder_path(): expected = { "folder": "mussel", } path = VersionsClient.common_folder_path(**expected) actual = VersionsClient.parse_common_folder_path(path) assert expected == actual def test_common_organization_path(): organization = "winkle" expected = "organizations/{organization}".format( organization=organization, ) actual = VersionsClient.common_organization_path(organization) assert expected == actual def test_parse_common_organization_path(): expected = { "organization": "nautilus", } path = VersionsClient.common_organization_path(**expected) actual = VersionsClient.parse_common_organization_path(path) assert expected == actual def test_common_project_path(): project = "scallop" expected = "projects/{project}".format( project=project, ) actual = VersionsClient.common_project_path(project) assert expected == actual def test_parse_common_project_path(): expected = { "project": "abalone", } path = VersionsClient.common_project_path(**expected) actual = VersionsClient.parse_common_project_path(path) assert expected == actual def test_common_location_path(): project = "squid" location = "clam" expected = "projects/{project}/locations/{location}".format( project=project, location=location, ) actual = VersionsClient.common_location_path(project, location) assert expected == actual def test_parse_common_location_path(): expected = { "project": "whelk", "location": "octopus", } path = VersionsClient.common_location_path(**expected) actual = VersionsClient.parse_common_location_path(path) assert expected == actual def test_client_with_default_client_info(): client_info = gapic_v1.client_info.ClientInfo() with mock.patch.object( transports.VersionsTransport, "_prep_wrapped_messages" ) as prep: client = VersionsClient( credentials=ga_credentials.AnonymousCredentials(), client_info=client_info, ) prep.assert_called_once_with(client_info) with mock.patch.object( transports.VersionsTransport, "_prep_wrapped_messages" ) as prep: transport_class = VersionsClient.get_transport_class() transport = transport_class( credentials=ga_credentials.AnonymousCredentials(), client_info=client_info, ) prep.assert_called_once_with(client_info) @pytest.mark.asyncio async def test_transport_close_async(): client = VersionsAsyncClient( credentials=ga_credentials.AnonymousCredentials(), transport="grpc_asyncio", ) with mock.patch.object( type(getattr(client.transport, "grpc_channel")), "close" ) as close: async with client: close.assert_not_called() close.assert_called_once() def test_transport_close(): transports = { "grpc": "_grpc_channel", } for transport, close_name in transports.items(): client = VersionsClient( credentials=ga_credentials.AnonymousCredentials(), transport=transport ) with mock.patch.object( type(getattr(client.transport, close_name)), "close" ) as close: with client: close.assert_not_called() close.assert_called_once() def test_client_ctx(): transports = [ "grpc", ] for transport in transports: client = VersionsClient( credentials=ga_credentials.AnonymousCredentials(), transport=transport ) with mock.patch.object(type(client.transport), "close") as close: close.assert_not_called() with client: pass close.assert_called() @pytest.mark.parametrize( "client_class,transport_class", [ (VersionsClient, transports.VersionsGrpcTransport), (VersionsAsyncClient, transports.VersionsGrpcAsyncIOTransport), ], ) def test_api_key_credentials(client_class, transport_class): with mock.patch.object( google.auth._default, "get_api_key_credentials", create=True ) as get_api_key_credentials: mock_cred = mock.Mock() get_api_key_credentials.return_value = mock_cred options = client_options.ClientOptions() options.api_key = "api_key" with mock.patch.object(transport_class, "__init__") as patched: patched.return_value = None client = client_class(client_options=options) patched.assert_called_once_with( credentials=mock_cred, credentials_file=None, host=client.DEFAULT_ENDPOINT, scopes=None, client_cert_source_for_mtls=None, quota_project_id=None, client_info=transports.base.DEFAULT_CLIENT_INFO, always_use_jwt_access=True, )

true

f70d9a641d059770d87b4867f1e577295635ca6d

356

py

Python

app/__init__.py

WebPractices/Eager

ce509dbbd65199e70b76aad82ba740e80864ac65

[ "MIT" ]

null

app/__init__.py

WebPractices/Eager

ce509dbbd65199e70b76aad82ba740e80864ac65

[ "MIT" ]

null

app/__init__.py

WebPractices/Eager

ce509dbbd65199e70b76aad82ba740e80864ac65

[ "MIT" ]

null

from flask import Flask def create_app(flask_config): app = Flask(__name__) app.config.from_object('app.config.{}'.format(flask_config)) from app.api import api_bp from app.client import client_bp app.register_blueprint(api_bp) app.register_blueprint(client_bp) app.logger.info('>>> {}'.format(flask_config)) return app

23.733333

64

0.716292

from flask import Flask def create_app(flask_config): app = Flask(__name__) app.config.from_object('app.config.{}'.format(flask_config)) from app.api import api_bp from app.client import client_bp app.register_blueprint(api_bp) app.register_blueprint(client_bp) app.logger.info('>>> {}'.format(flask_config)) return app

true

f70d9a737cfddc36a288fb6856a05809b5e5cfd6

910

py

Python

idm_lp/commands/disable_notifications.py

lper1/dgm-.

aae14b2758b220f42030745bb941e7012bf77ae2

[ "MIT" ]

47

2020-09-15T11:13:35.000Z

2022-03-30T06:37:52.000Z

idm_lp/commands/disable_notifications.py

lper1/dgm-.

aae14b2758b220f42030745bb941e7012bf77ae2

[ "MIT" ]

2

2020-10-27T15:30:33.000Z

2020-11-14T16:50:01.000Z

idm_lp/commands/disable_notifications.py

lper1/dgm-.

aae14b2758b220f42030745bb941e7012bf77ae2

[ "MIT" ]

111

2020-09-27T20:06:42.000Z

2022-03-19T20:29:29.000Z

from vkbottle.rule import FromMe from vkbottle.user import Blueprint, Message from idm_lp.logger import logger_decorator from idm_lp.database import Database from idm_lp.utils import edit_message user = Blueprint( name='disable_notifications_blueprint' ) @user.on.message_handler(FromMe(), text="<prefix:service_prefix> выключать уведы") @logger_decorator async def allow_disable_notifications_wrapper(message: Message, **kwargs): db = Database.get_current() db.disable_notifications = True db.save() await edit_message(message, "✅ Настройка изменена") @user.on.message_handler(FromMe(), text="<prefix:service_prefix> не выключать уведы") @logger_decorator async def deny_disable_notifications_wrapper(message: Message, **kwargs): db = Database.get_current() db.disable_notifications = False db.save() await edit_message(message, "✅ Настройка изменена")

29.354839

85

0.774725

from vkbottle.rule import FromMe from vkbottle.user import Blueprint, Message from idm_lp.logger import logger_decorator from idm_lp.database import Database from idm_lp.utils import edit_message user = Blueprint( name='disable_notifications_blueprint' ) @user.on.message_handler(FromMe(), text="<prefix:service_prefix> выключать уведы") @logger_decorator async def allow_disable_notifications_wrapper(message: Message, **kwargs): db = Database.get_current() db.disable_notifications = True db.save() await edit_message(message, "✅ Настройка изменена") @user.on.message_handler(FromMe(), text="<prefix:service_prefix> не выключать уведы") @logger_decorator async def deny_disable_notifications_wrapper(message: Message, **kwargs): db = Database.get_current() db.disable_notifications = False db.save() await edit_message(message, "✅ Настройка изменена")

true

f70d9a74aa623ec70705e6fa9613849704b54d16

2,646

py

Python

bot.py

Cr3atable/Brick

012fc2bb91b7950763cf8da04f11509d0e638efe

[ "Apache-2.0" ]

1

2021-03-27T06:24:25.000Z

bot.py

Cr3atable/Brick

012fc2bb91b7950763cf8da04f11509d0e638efe

[ "Apache-2.0" ]

null

bot.py

Cr3atable/Brick

012fc2bb91b7950763cf8da04f11509d0e638efe

[ "Apache-2.0" ]

null

""" Copyright (c) 2020, creatable Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. """ import aiohttp import asyncio import discord import html from discord.ext import commands bot = commands.Bot(command_prefix='b!', description="""A utility bot for Reddit verification. Copyright (c) 2020, creatable (https://creatable.cafe)""") @bot.event async def on_ready(): print(""" _ _ _ | | (_) | | | |__ _ __ _ ___| | __ | '_ \| '__| |/ __| |/ / | |_) | | | | (__| < _ |_.__/|_| |_|\___|_|\_(_) by creatable""") @bot.command() async def verify(ctx, *args): if len(args) != 0: verifiedrole = discord.utils.get(ctx.guild.roles, name="Verified") verifystring = f"""-----BEGIN BRICK VERIFICATION STRING----- {ctx.author.id} -----END BRICK VERIFICATION STRING-----""" if verifiedrole in ctx.author.roles: await ctx.send("ERROR: You're already verified!") else: async with aiohttp.ClientSession() as session: async with session.get(f'https://www.reddit.com/user/{args[0]}/about.json', allow_redirects = False) as response: if response.status != 404: desc = html.unescape((await response.json())["data"]["subreddit"]["public_description"]) if (verifystring) in desc: await ctx.author.add_roles(verifiedrole) await ctx.author.edit(nick = f"u/{args[0]}") await ctx.send("""Successfully verified! You can now remove the verification string from your profile at <https://new.reddit.com/settings/profile> if you want.""") else: await ctx.send(f"""Go to <https://new.reddit.com/settings/profile> and add the following block to your "About" section: ```{verifystring}``` Then do `b!verify {discord.utils.escape_mentions(args[0])}` again to verify your Reddit account.""") else: await ctx.send("ERROR: I can't find that user.") else: await ctx.send("ERROR: No arguments were provided.") bot.run('')

37.8

148

0.616402

import aiohttp import asyncio import discord import html from discord.ext import commands bot = commands.Bot(command_prefix='b!', description="""A utility bot for Reddit verification. Copyright (c) 2020, creatable (https://creatable.cafe)""") @bot.event async def on_ready(): print(""" _ _ _ | | (_) | | | |__ _ __ _ ___| | __ | '_ \| '__| |/ __| |/ / | |_) | | | | (__| < _ |_.__/|_| |_|\___|_|\_(_) by creatable""") @bot.command() async def verify(ctx, *args): if len(args) != 0: verifiedrole = discord.utils.get(ctx.guild.roles, name="Verified") verifystring = f"""-----BEGIN BRICK VERIFICATION STRING----- {ctx.author.id} -----END BRICK VERIFICATION STRING-----""" if verifiedrole in ctx.author.roles: await ctx.send("ERROR: You're already verified!") else: async with aiohttp.ClientSession() as session: async with session.get(f'https://www.reddit.com/user/{args[0]}/about.json', allow_redirects = False) as response: if response.status != 404: desc = html.unescape((await response.json())["data"]["subreddit"]["public_description"]) if (verifystring) in desc: await ctx.author.add_roles(verifiedrole) await ctx.author.edit(nick = f"u/{args[0]}") await ctx.send("""Successfully verified! You can now remove the verification string from your profile at <https://new.reddit.com/settings/profile> if you want.""") else: await ctx.send(f"""Go to <https://new.reddit.com/settings/profile> and add the following block to your "About" section: ```{verifystring}``` Then do `b!verify {discord.utils.escape_mentions(args[0])}` again to verify your Reddit account.""") else: await ctx.send("ERROR: I can't find that user.") else: await ctx.send("ERROR: No arguments were provided.") bot.run('')

true

f70d9b48a9595eaeded188e32ec69facb65e394d

12,573

py

Python

phosphor-regulators/tools/validate-regulators-config.py

smccarney/phosphor-power

39ea02bc9458f3d5a7fdd317cb546ed046eaff78

[ "Apache-2.0" ]

7

2019-10-04T01:19:49.000Z

2021-06-02T23:11:19.000Z

phosphor-regulators/tools/validate-regulators-config.py

smccarney/phosphor-power

39ea02bc9458f3d5a7fdd317cb546ed046eaff78

[ "Apache-2.0" ]

9

2019-10-23T14:22:03.000Z

2022-03-22T20:39:05.000Z

phosphor-regulators/tools/validate-regulators-config.py

smccarney/phosphor-power

39ea02bc9458f3d5a7fdd317cb546ed046eaff78

[ "Apache-2.0" ]

11

2019-10-04T01:20:01.000Z

2022-03-03T06:08:16.000Z

#!/usr/bin/env python3 import argparse import json import jsonschema import os import sys r""" Validates the phosphor-regulators configuration file. Checks it against a JSON schema as well as doing some extra checks that can't be encoded in the schema. """ def handle_validation_error(): sys.exit("Validation failed.") def get_values(json_element, key, result = None): r""" Finds all occurrences of a key within the specified JSON element and its children. Returns the associated values. To search the entire configuration file, pass the root JSON element json_element: JSON element within the config file. key: key name. result: list of values found with the specified key. """ if result is None: result = [] if type(json_element) is dict: for json_key in json_element: if json_key == key: result.append(json_element[json_key]) elif type(json_element[json_key]) in (list, dict): get_values(json_element[json_key], key, result) elif type(json_element) is list: for item in json_element: if type(item) in (list, dict): get_values(item, key, result) return result def get_rule_ids(config_json): r""" Get all rule IDs in the configuration file. config_json: Configuration file JSON """ rule_ids = [] for rule in config_json.get('rules', {}): rule_ids.append(rule['id']) return rule_ids def get_device_ids(config_json): r""" Get all device IDs in the configuration file. config_json: Configuration file JSON """ device_ids = [] for chassis in config_json.get('chassis', {}): for device in chassis.get('devices', {}): device_ids.append(device['id']) return device_ids def check_number_of_elements_in_masks(config_json): r""" Check if the number of bit masks in the 'masks' property matches the number of byte values in the 'values' property. config_json: Configuration file JSON """ i2c_write_bytes = get_values(config_json, 'i2c_write_bytes') i2c_compare_bytes = get_values(config_json, 'i2c_compare_bytes') for object in i2c_write_bytes: if 'masks' in object: if len(object.get('masks', [])) != len(object.get('values', [])): sys.stderr.write("Error: Invalid i2c_write_bytes action.\n"+\ "The masks array must have the same size as the values array. "+\ "masks: "+str(object.get('masks', []))+\ ", values: "+str(object.get('values', []))+'.\n') handle_validation_error() for object in i2c_compare_bytes: if 'masks' in object: if len(object.get('masks', [])) != len(object.get('values', [])): sys.stderr.write("Error: Invalid i2c_compare_bytes action.\n"+\ "The masks array must have the same size as the values array. "+\ "masks: "+str(object.get('masks', []))+\ ", values: "+str(object.get('values', []))+'.\n') handle_validation_error() def check_rule_id_exists(config_json): r""" Check if a rule_id property specifies a rule ID that does not exist. config_json: Configuration file JSON """ rule_ids = get_values(config_json, 'rule_id') valid_rule_ids = get_rule_ids(config_json) for rule_id in rule_ids: if rule_id not in valid_rule_ids: sys.stderr.write("Error: Rule ID does not exist.\n"+\ "Found rule_id value that specifies invalid rule ID "+\ rule_id+'\n') handle_validation_error() def check_device_id_exists(config_json): r""" Check if a device_id property specifies a device ID that does not exist. config_json: Configuration file JSON """ device_ids = get_values(config_json, 'device_id') valid_device_ids = get_device_ids(config_json) for device_id in device_ids: if device_id not in valid_device_ids: sys.stderr.write("Error: Device ID does not exist.\n"+\ "Found device_id value that specifies invalid device ID "+\ device_id+'\n') handle_validation_error() def check_set_device_value_exists(config_json): r""" Check if a set_device action specifies a device ID that does not exist. config_json: Configuration file JSON """ device_ids = get_values(config_json, 'set_device') valid_device_ids = get_device_ids(config_json) for device_id in device_ids: if device_id not in valid_device_ids: sys.stderr.write("Error: Device ID does not exist.\n"+\ "Found set_device action that specifies invalid device ID "+\ device_id+'\n') handle_validation_error() def check_run_rule_value_exists(config_json): r""" Check if any run_rule actions specify a rule ID that does not exist. config_json: Configuration file JSON """ rule_ids = get_values(config_json, 'run_rule') valid_rule_ids = get_rule_ids(config_json) for rule_id in rule_ids: if rule_id not in valid_rule_ids: sys.stderr.write("Error: Rule ID does not exist.\n"+\ "Found run_rule action that specifies invalid rule ID "+\ rule_id+'\n') handle_validation_error() def check_infinite_loops_in_rule(config_json, rule_json, call_stack=[]): r""" Check if a 'run_rule' action in the specified rule causes an infinite loop. config_json: Configuration file JSON. rule_json: A rule in the JSON config file. call_stack: Current call stack of rules. """ call_stack.append(rule_json['id']) for action in rule_json.get('actions', {}): if 'run_rule' in action: run_rule_id = action['run_rule'] if run_rule_id in call_stack: call_stack.append(run_rule_id) sys.stderr.write(\ "Infinite loop caused by run_rule actions.\n"+\ str(call_stack)+'\n') handle_validation_error() else: for rule in config_json.get('rules', {}): if rule['id'] == run_rule_id: check_infinite_loops_in_rule(\ config_json, rule, call_stack) call_stack.pop() def check_infinite_loops(config_json): r""" Check if rule in config file is called recursively, causing an infinite loop. config_json: Configuration file JSON """ for rule in config_json.get('rules', {}): check_infinite_loops_in_rule(config_json, rule) def check_duplicate_object_id(config_json): r""" Check that there aren't any JSON objects with the same 'id' property value. config_json: Configuration file JSON """ json_ids = get_values(config_json, 'id') unique_ids = set() for id in json_ids: if id in unique_ids: sys.stderr.write("Error: Duplicate ID.\n"+\ "Found multiple objects with the ID "+id+'\n') handle_validation_error() else: unique_ids.add(id) def check_duplicate_rule_id(config_json): r""" Check that there aren't any "rule" elements with the same 'id' field. config_json: Configuration file JSON """ rule_ids = [] for rule in config_json.get('rules', {}): rule_id = rule['id'] if rule_id in rule_ids: sys.stderr.write("Error: Duplicate rule ID.\n"+\ "Found multiple rules with the ID "+rule_id+'\n') handle_validation_error() else: rule_ids.append(rule_id) def check_duplicate_chassis_number(config_json): r""" Check that there aren't any "chassis" elements with the same 'number' field. config_json: Configuration file JSON """ numbers = [] for chassis in config_json.get('chassis', {}): number = chassis['number'] if number in numbers: sys.stderr.write("Error: Duplicate chassis number.\n"+\ "Found multiple chassis with the number "+str(number)+'\n') handle_validation_error() else: numbers.append(number) def check_duplicate_device_id(config_json): r""" Check that there aren't any "devices" with the same 'id' field. config_json: Configuration file JSON """ device_ids = [] for chassis in config_json.get('chassis', {}): for device in chassis.get('devices', {}): device_id = device['id'] if device_id in device_ids: sys.stderr.write("Error: Duplicate device ID.\n"+\ "Found multiple devices with the ID "+device_id+'\n') handle_validation_error() else: device_ids.append(device_id) def check_duplicate_rail_id(config_json): r""" Check that there aren't any "rails" with the same 'id' field. config_json: Configuration file JSON """ rail_ids = [] for chassis in config_json.get('chassis', {}): for device in chassis.get('devices', {}): for rail in device.get('rails', {}): rail_id = rail['id'] if rail_id in rail_ids: sys.stderr.write("Error: Duplicate rail ID.\n"+\ "Found multiple rails with the ID "+rail_id+'\n') handle_validation_error() else: rail_ids.append(rail_id) def check_for_duplicates(config_json): r""" Check for duplicate ID. """ check_duplicate_rule_id(config_json) check_duplicate_chassis_number(config_json) check_duplicate_device_id(config_json) check_duplicate_rail_id(config_json) check_duplicate_object_id(config_json) def validate_schema(config, schema): r""" Validates the specified config file using the specified schema file. config: Path of the file containing the config JSON schema: Path of the file containing the schema JSON """ with open(config) as config_handle: config_json = json.load(config_handle) with open(schema) as schema_handle: schema_json = json.load(schema_handle) try: jsonschema.validate(config_json, schema_json) except jsonschema.ValidationError as e: print(e) handle_validation_error() return config_json def validate_JSON_format(file): with open(file) as json_data: try: return json.load(json_data) except ValueError as err: return False return True if __name__ == '__main__': parser = argparse.ArgumentParser( description='phosphor-regulators configuration file validator') parser.add_argument('-s', '--schema-file', dest='schema_file', help='The phosphor-regulators schema file') parser.add_argument('-c', '--configuration-file', dest='configuration_file', help='The phosphor-regulators configuration file') args = parser.parse_args() if not args.schema_file: parser.print_help() sys.exit("Error: Schema file is required.") if not os.path.exists(args.schema_file): parser.print_help() sys.exit("Error: Schema file does not exist.") if not os.access(args.schema_file, os.R_OK): parser.print_help() sys.exit("Error: Schema file is not readable.") if not validate_JSON_format(args.schema_file): parser.print_help() sys.exit("Error: Schema file is not in the JSON format.") if not args.configuration_file: parser.print_help() sys.exit("Error: Configuration file is required.") if not os.path.exists(args.configuration_file): parser.print_help() sys.exit("Error: Configuration file does not exist.") if not os.access(args.configuration_file, os.R_OK): parser.print_help() sys.exit("Error: Configuration file is not readable.") if not validate_JSON_format(args.configuration_file): parser.print_help() sys.exit("Error: Configuration file is not in the JSON format.") config_json = validate_schema(args.configuration_file, args.schema_file) check_for_duplicates(config_json) check_infinite_loops(config_json) check_run_rule_value_exists(config_json) check_set_device_value_exists(config_json) check_rule_id_exists(config_json) check_device_id_exists(config_json) check_number_of_elements_in_masks(config_json)

34.636364

81

0.638432

import argparse import json import jsonschema import os import sys def handle_validation_error(): sys.exit("Validation failed.") def get_values(json_element, key, result = None): if result is None: result = [] if type(json_element) is dict: for json_key in json_element: if json_key == key: result.append(json_element[json_key]) elif type(json_element[json_key]) in (list, dict): get_values(json_element[json_key], key, result) elif type(json_element) is list: for item in json_element: if type(item) in (list, dict): get_values(item, key, result) return result def get_rule_ids(config_json): rule_ids = [] for rule in config_json.get('rules', {}): rule_ids.append(rule['id']) return rule_ids def get_device_ids(config_json): device_ids = [] for chassis in config_json.get('chassis', {}): for device in chassis.get('devices', {}): device_ids.append(device['id']) return device_ids def check_number_of_elements_in_masks(config_json): i2c_write_bytes = get_values(config_json, 'i2c_write_bytes') i2c_compare_bytes = get_values(config_json, 'i2c_compare_bytes') for object in i2c_write_bytes: if 'masks' in object: if len(object.get('masks', [])) != len(object.get('values', [])): sys.stderr.write("Error: Invalid i2c_write_bytes action.\n"+\ "The masks array must have the same size as the values array. "+\ "masks: "+str(object.get('masks', []))+\ ", values: "+str(object.get('values', []))+'.\n') handle_validation_error() for object in i2c_compare_bytes: if 'masks' in object: if len(object.get('masks', [])) != len(object.get('values', [])): sys.stderr.write("Error: Invalid i2c_compare_bytes action.\n"+\ "The masks array must have the same size as the values array. "+\ "masks: "+str(object.get('masks', []))+\ ", values: "+str(object.get('values', []))+'.\n') handle_validation_error() def check_rule_id_exists(config_json): rule_ids = get_values(config_json, 'rule_id') valid_rule_ids = get_rule_ids(config_json) for rule_id in rule_ids: if rule_id not in valid_rule_ids: sys.stderr.write("Error: Rule ID does not exist.\n"+\ "Found rule_id value that specifies invalid rule ID "+\ rule_id+'\n') handle_validation_error() def check_device_id_exists(config_json): device_ids = get_values(config_json, 'device_id') valid_device_ids = get_device_ids(config_json) for device_id in device_ids: if device_id not in valid_device_ids: sys.stderr.write("Error: Device ID does not exist.\n"+\ "Found device_id value that specifies invalid device ID "+\ device_id+'\n') handle_validation_error() def check_set_device_value_exists(config_json): device_ids = get_values(config_json, 'set_device') valid_device_ids = get_device_ids(config_json) for device_id in device_ids: if device_id not in valid_device_ids: sys.stderr.write("Error: Device ID does not exist.\n"+\ "Found set_device action that specifies invalid device ID "+\ device_id+'\n') handle_validation_error() def check_run_rule_value_exists(config_json): rule_ids = get_values(config_json, 'run_rule') valid_rule_ids = get_rule_ids(config_json) for rule_id in rule_ids: if rule_id not in valid_rule_ids: sys.stderr.write("Error: Rule ID does not exist.\n"+\ "Found run_rule action that specifies invalid rule ID "+\ rule_id+'\n') handle_validation_error() def check_infinite_loops_in_rule(config_json, rule_json, call_stack=[]): call_stack.append(rule_json['id']) for action in rule_json.get('actions', {}): if 'run_rule' in action: run_rule_id = action['run_rule'] if run_rule_id in call_stack: call_stack.append(run_rule_id) sys.stderr.write(\ "Infinite loop caused by run_rule actions.\n"+\ str(call_stack)+'\n') handle_validation_error() else: for rule in config_json.get('rules', {}): if rule['id'] == run_rule_id: check_infinite_loops_in_rule(\ config_json, rule, call_stack) call_stack.pop() def check_infinite_loops(config_json): for rule in config_json.get('rules', {}): check_infinite_loops_in_rule(config_json, rule) def check_duplicate_object_id(config_json): json_ids = get_values(config_json, 'id') unique_ids = set() for id in json_ids: if id in unique_ids: sys.stderr.write("Error: Duplicate ID.\n"+\ "Found multiple objects with the ID "+id+'\n') handle_validation_error() else: unique_ids.add(id) def check_duplicate_rule_id(config_json): rule_ids = [] for rule in config_json.get('rules', {}): rule_id = rule['id'] if rule_id in rule_ids: sys.stderr.write("Error: Duplicate rule ID.\n"+\ "Found multiple rules with the ID "+rule_id+'\n') handle_validation_error() else: rule_ids.append(rule_id) def check_duplicate_chassis_number(config_json): numbers = [] for chassis in config_json.get('chassis', {}): number = chassis['number'] if number in numbers: sys.stderr.write("Error: Duplicate chassis number.\n"+\ "Found multiple chassis with the number "+str(number)+'\n') handle_validation_error() else: numbers.append(number) def check_duplicate_device_id(config_json): device_ids = [] for chassis in config_json.get('chassis', {}): for device in chassis.get('devices', {}): device_id = device['id'] if device_id in device_ids: sys.stderr.write("Error: Duplicate device ID.\n"+\ "Found multiple devices with the ID "+device_id+'\n') handle_validation_error() else: device_ids.append(device_id) def check_duplicate_rail_id(config_json): rail_ids = [] for chassis in config_json.get('chassis', {}): for device in chassis.get('devices', {}): for rail in device.get('rails', {}): rail_id = rail['id'] if rail_id in rail_ids: sys.stderr.write("Error: Duplicate rail ID.\n"+\ "Found multiple rails with the ID "+rail_id+'\n') handle_validation_error() else: rail_ids.append(rail_id) def check_for_duplicates(config_json): check_duplicate_rule_id(config_json) check_duplicate_chassis_number(config_json) check_duplicate_device_id(config_json) check_duplicate_rail_id(config_json) check_duplicate_object_id(config_json) def validate_schema(config, schema): with open(config) as config_handle: config_json = json.load(config_handle) with open(schema) as schema_handle: schema_json = json.load(schema_handle) try: jsonschema.validate(config_json, schema_json) except jsonschema.ValidationError as e: print(e) handle_validation_error() return config_json def validate_JSON_format(file): with open(file) as json_data: try: return json.load(json_data) except ValueError as err: return False return True if __name__ == '__main__': parser = argparse.ArgumentParser( description='phosphor-regulators configuration file validator') parser.add_argument('-s', '--schema-file', dest='schema_file', help='The phosphor-regulators schema file') parser.add_argument('-c', '--configuration-file', dest='configuration_file', help='The phosphor-regulators configuration file') args = parser.parse_args() if not args.schema_file: parser.print_help() sys.exit("Error: Schema file is required.") if not os.path.exists(args.schema_file): parser.print_help() sys.exit("Error: Schema file does not exist.") if not os.access(args.schema_file, os.R_OK): parser.print_help() sys.exit("Error: Schema file is not readable.") if not validate_JSON_format(args.schema_file): parser.print_help() sys.exit("Error: Schema file is not in the JSON format.") if not args.configuration_file: parser.print_help() sys.exit("Error: Configuration file is required.") if not os.path.exists(args.configuration_file): parser.print_help() sys.exit("Error: Configuration file does not exist.") if not os.access(args.configuration_file, os.R_OK): parser.print_help() sys.exit("Error: Configuration file is not readable.") if not validate_JSON_format(args.configuration_file): parser.print_help() sys.exit("Error: Configuration file is not in the JSON format.") config_json = validate_schema(args.configuration_file, args.schema_file) check_for_duplicates(config_json) check_infinite_loops(config_json) check_run_rule_value_exists(config_json) check_set_device_value_exists(config_json) check_rule_id_exists(config_json) check_device_id_exists(config_json) check_number_of_elements_in_masks(config_json)

true

f70d9c25fc56a2ac4d94d2cb43a5ca522a38b635

1,607

py

Python

playrcc/src/base/http/api.py

Gloryness/playrcc

3816a935f19c786db59ba5a46a98cc527053cc29

[ "MIT" ]

4

2020-09-24T14:25:01.000Z

2020-11-02T22:18:12.000Z

playrcc/src/base/http/api.py

Gloryness/playrcc

3816a935f19c786db59ba5a46a98cc527053cc29

[ "MIT" ]

null

playrcc/src/base/http/api.py

Gloryness/playrcc

3816a935f19c786db59ba5a46a98cc527053cc29

[ "MIT" ]

null

import requests from bs4 import BeautifulSoup class API: def __init__(self, auth): self.auth = auth self.api = 'https://api.playr.gg/api/enter' self.headers = { 'Accept': "application/json, text/plain, */*", 'Accept-Encoding': "gzip, deflate, br", 'Accept-Language': "en-GB, en;q=0.5", 'Authorization': self.auth, # an authentication is needed other we cannot use it and a response will say 'Missing JWT Token' 'Host': "api.playr.gg", 'Origin': 'https://playr.gg', 'sec-fetch-dest': "empty", 'sec-fetch-mode': "cors", 'sec-fetch-site': "same-site", 'User-Agent': "Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:79.0) Gecko/20100101 Firefox/79.0" } self.params = { "dry_run": False, "entry_method": "playr_secret_code" } def send_post(self, params={}): """ Send a POST request to the API :return: text """ self.params.update(params) r = requests.post(self.api, params=self.params, headers=self.headers) # sending the post request self.params = { # resetting the params "dry_run": False, "entry_method": "playr_secret_code" } return r.text # returning the response @staticmethod def get_auth(): try: r = requests.get('https://pastebin.com/UMWjEWdg').text except: return 'None' soup = BeautifulSoup(r, 'lxml') return soup.find(class_='de1').text

32.795918

136

0.549471

import requests from bs4 import BeautifulSoup class API: def __init__(self, auth): self.auth = auth self.api = 'https://api.playr.gg/api/enter' self.headers = { 'Accept': "application/json, text/plain, */*", 'Accept-Encoding': "gzip, deflate, br", 'Accept-Language': "en-GB, en;q=0.5", 'Authorization': self.auth, 'Host': "api.playr.gg", 'Origin': 'https://playr.gg', 'sec-fetch-dest': "empty", 'sec-fetch-mode': "cors", 'sec-fetch-site': "same-site", 'User-Agent': "Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:79.0) Gecko/20100101 Firefox/79.0" } self.params = { "dry_run": False, "entry_method": "playr_secret_code" } def send_post(self, params={}): self.params.update(params) r = requests.post(self.api, params=self.params, headers=self.headers) self.params = { "dry_run": False, "entry_method": "playr_secret_code" } return r.text @staticmethod def get_auth(): try: r = requests.get('https://pastebin.com/UMWjEWdg').text except: return 'None' soup = BeautifulSoup(r, 'lxml') return soup.find(class_='de1').text

true

f70d9c4aa6bad7b33a8cb47b9785a6f7e6a8b67b

6,020

py

Python

biosys/apps/main/tests/api/test_program.py

florianm/biosys

934d06ed805b0734f3cb9a00feec6cd81a94e512

[ "Apache-2.0" ]

1

2020-08-24T02:44:36.000Z

biosys/apps/main/tests/api/test_program.py

florianm/biosys

934d06ed805b0734f3cb9a00feec6cd81a94e512

[ "Apache-2.0" ]

19

2016-09-29T01:03:18.000Z

2021-07-02T06:54:05.000Z

biosys/apps/main/tests/api/test_program.py

florianm/biosys

934d06ed805b0734f3cb9a00feec6cd81a94e512

[ "Apache-2.0" ]

5

2018-12-20T05:36:28.000Z

2021-09-29T00:44:31.000Z

from django.urls import reverse from rest_framework import status from main.tests.api import helpers class TestPermissions(helpers.BaseUserTestCase): """ Test Permissions Get: authenticated Update: admin Create: admin Delete: admin """ def test_get(self): urls = [ reverse('api:program-list'), reverse('api:program-detail', kwargs={'pk': self.program_1.pk}) ] access = { "forbidden": [self.anonymous_client], "allowed": [ self.readonly_client, self.custodian_1_client, self.custodian_2_client, self.data_engineer_1_client, self.data_engineer_2_client, self.admin_client ] } for client in access['forbidden']: for url in urls: self.assertIn( client.get(url).status_code, [status.HTTP_401_UNAUTHORIZED, status.HTTP_403_FORBIDDEN] ) for client in access['allowed']: for url in urls: self.assertEqual( client.get(url).status_code, status.HTTP_200_OK ) def test_create(self): """ Only admin :return: """ urls = [reverse('api:program-list')] data = { "name": "A new program for Unit test", "code": "T1234", "data_engineers": [self.data_engineer_1_user.pk] } access = { "forbidden": [ self.anonymous_client, self.readonly_client, self.custodian_1_client, self.custodian_2_client, self.data_engineer_1_client, self.data_engineer_2_client ], "allowed": [ self.admin_client, ] } for client in access['forbidden']: for url in urls: self.assertIn( client.post(url, data, format='json').status_code, [status.HTTP_401_UNAUTHORIZED, status.HTTP_403_FORBIDDEN] ) for client in access['allowed']: for url in urls: # Name must me unique data['name'] += '1' self.assertEqual( client.post(url, data, format='json').status_code, status.HTTP_201_CREATED ) def test_put(self): """ Only admin :return: """ urls = [reverse('api:program-detail', kwargs={'pk': self.program_1.pk})] data = { "name": "A new program for Unit test", "code": "T1234", "data_engineers": [self.data_engineer_1_user.pk] } access = { "forbidden": [ self.anonymous_client, self.readonly_client, self.custodian_1_client, self.custodian_2_client, self.data_engineer_1_client, self.data_engineer_2_client ], "allowed": [ self.admin_client, ] } for client in access['forbidden']: for url in urls: self.assertIn( client.put(url, data, format='json').status_code, [status.HTTP_401_UNAUTHORIZED, status.HTTP_403_FORBIDDEN] ) for client in access['allowed']: for url in urls: # Name must me unique data['name'] += '1' self.assertEqual( client.put(url, data, format='json').status_code, status.HTTP_200_OK ) def test_patch(self): """ Only admin :return: """ urls = [reverse('api:program-detail', kwargs={'pk': self.program_1.pk})] data = { "code": "XXXX", } access = { "forbidden": [ self.anonymous_client, self.readonly_client, self.custodian_1_client, self.custodian_2_client, self.data_engineer_1_client, self.data_engineer_2_client ], "allowed": [ self.admin_client, ] } for client in access['forbidden']: for url in urls: self.assertIn( client.patch(url, data, format='json').status_code, [status.HTTP_401_UNAUTHORIZED, status.HTTP_403_FORBIDDEN] ) for client in access['allowed']: for url in urls: self.assertEqual( client.patch(url, data, format='json').status_code, status.HTTP_200_OK ) def test_delete(self): """ Admin only :return: """ urls = [reverse('api:program-detail', kwargs={'pk': self.program_1.pk})] access = { "forbidden": [ self.anonymous_client, self.readonly_client, self.custodian_1_client, self.custodian_2_client, self.data_engineer_1_client, self.data_engineer_2_client ], "allowed": [ self.admin_client, ] } for client in access['forbidden']: for url in urls: self.assertIn( client.delete(url, format='json').status_code, [status.HTTP_401_UNAUTHORIZED, status.HTTP_403_FORBIDDEN] ) for client in access['allowed']: for url in urls: self.assertEqual( client.delete(url, format='json').status_code, status.HTTP_204_NO_CONTENT )

31.19171

80

0.47691

from django.urls import reverse from rest_framework import status from main.tests.api import helpers class TestPermissions(helpers.BaseUserTestCase): def test_get(self): urls = [ reverse('api:program-list'), reverse('api:program-detail', kwargs={'pk': self.program_1.pk}) ] access = { "forbidden": [self.anonymous_client], "allowed": [ self.readonly_client, self.custodian_1_client, self.custodian_2_client, self.data_engineer_1_client, self.data_engineer_2_client, self.admin_client ] } for client in access['forbidden']: for url in urls: self.assertIn( client.get(url).status_code, [status.HTTP_401_UNAUTHORIZED, status.HTTP_403_FORBIDDEN] ) for client in access['allowed']: for url in urls: self.assertEqual( client.get(url).status_code, status.HTTP_200_OK ) def test_create(self): urls = [reverse('api:program-list')] data = { "name": "A new program for Unit test", "code": "T1234", "data_engineers": [self.data_engineer_1_user.pk] } access = { "forbidden": [ self.anonymous_client, self.readonly_client, self.custodian_1_client, self.custodian_2_client, self.data_engineer_1_client, self.data_engineer_2_client ], "allowed": [ self.admin_client, ] } for client in access['forbidden']: for url in urls: self.assertIn( client.post(url, data, format='json').status_code, [status.HTTP_401_UNAUTHORIZED, status.HTTP_403_FORBIDDEN] ) for client in access['allowed']: for url in urls: data['name'] += '1' self.assertEqual( client.post(url, data, format='json').status_code, status.HTTP_201_CREATED ) def test_put(self): urls = [reverse('api:program-detail', kwargs={'pk': self.program_1.pk})] data = { "name": "A new program for Unit test", "code": "T1234", "data_engineers": [self.data_engineer_1_user.pk] } access = { "forbidden": [ self.anonymous_client, self.readonly_client, self.custodian_1_client, self.custodian_2_client, self.data_engineer_1_client, self.data_engineer_2_client ], "allowed": [ self.admin_client, ] } for client in access['forbidden']: for url in urls: self.assertIn( client.put(url, data, format='json').status_code, [status.HTTP_401_UNAUTHORIZED, status.HTTP_403_FORBIDDEN] ) for client in access['allowed']: for url in urls: data['name'] += '1' self.assertEqual( client.put(url, data, format='json').status_code, status.HTTP_200_OK ) def test_patch(self): urls = [reverse('api:program-detail', kwargs={'pk': self.program_1.pk})] data = { "code": "XXXX", } access = { "forbidden": [ self.anonymous_client, self.readonly_client, self.custodian_1_client, self.custodian_2_client, self.data_engineer_1_client, self.data_engineer_2_client ], "allowed": [ self.admin_client, ] } for client in access['forbidden']: for url in urls: self.assertIn( client.patch(url, data, format='json').status_code, [status.HTTP_401_UNAUTHORIZED, status.HTTP_403_FORBIDDEN] ) for client in access['allowed']: for url in urls: self.assertEqual( client.patch(url, data, format='json').status_code, status.HTTP_200_OK ) def test_delete(self): urls = [reverse('api:program-detail', kwargs={'pk': self.program_1.pk})] access = { "forbidden": [ self.anonymous_client, self.readonly_client, self.custodian_1_client, self.custodian_2_client, self.data_engineer_1_client, self.data_engineer_2_client ], "allowed": [ self.admin_client, ] } for client in access['forbidden']: for url in urls: self.assertIn( client.delete(url, format='json').status_code, [status.HTTP_401_UNAUTHORIZED, status.HTTP_403_FORBIDDEN] ) for client in access['allowed']: for url in urls: self.assertEqual( client.delete(url, format='json').status_code, status.HTTP_204_NO_CONTENT )

true

f70d9c6098dd5a6a6057d72465295bbf61a9b443

261

py

Python

movies/serializers.py

jamesbond007dj/blog-api2

b4e1170f448c27528c48c955fde5998304e239d9

[ "MIT" ]

1

2020-01-22T21:46:25.000Z

movies/serializers.py

jamesbond007dj/blog-api2

b4e1170f448c27528c48c955fde5998304e239d9

[ "MIT" ]

8

2020-01-23T00:58:40.000Z

2021-09-22T18:31:32.000Z

movies/serializers.py

jamesbond007dj/blog-api2

b4e1170f448c27528c48c955fde5998304e239d9

[ "MIT" ]

null

from rest_framework import serializers from .models import Movies class MoviesSerializer(serializers.ModelSerializer): class Meta: model = Movies fields = [ 'id' , 'user_main', 'title', 'director', 'acts', 'created_at' ]

29

73

0.643678

from rest_framework import serializers from .models import Movies class MoviesSerializer(serializers.ModelSerializer): class Meta: model = Movies fields = [ 'id' , 'user_main', 'title', 'director', 'acts', 'created_at' ]

true

f70d9c8948607fa6efa83a53137927b8ffedb1d3

1,705

py

Python

tests/settings.py

brmc/django-octopus

a37dbd9425f92ffbb19ce29647b6bc8d9be51598

[ "MIT" ]

36

2015-03-08T09:06:51.000Z

2021-07-31T04:19:53.000Z

tests/settings.py

brmc/django_octopus

a37dbd9425f92ffbb19ce29647b6bc8d9be51598

[ "MIT" ]

2

2017-01-21T17:25:18.000Z

2019-07-27T08:01:26.000Z

tests/settings.py

brmc/django_octopus

a37dbd9425f92ffbb19ce29647b6bc8d9be51598

[ "MIT" ]

1

2015-03-08T14:53:20.000Z

import os INSTALLED_APPS = [ 'django.contrib.staticfiles', 'django.contrib.auth', 'django.contrib.contenttypes', 'django.contrib.messages', 'django.contrib.sessions', 'django.contrib.admin', 'octopus', 'test_app', 'django.contrib.sites' ] SECRET_KEY = '1' DEBUG = True STATIC_URL = '/static/' MEDIA_URL = '/media/' TEMPLATE_CONTEXT_PROCESSORS = ( 'django.core.context_processors.request', ) APPEND_SLASHES = True root_dir = os.path.dirname(os.path.realpath(__file__)) STATIC_ROOT = os.path.join(root_dir, 'static') # STATICFILES_DIRS = [STATIC_ROOT] print(STATIC_ROOT) TEMPLATE_DIRECTORIES = (os.path.join(root_dir, 'test_app/templates')) MIDDLEWARE_CLASSES = ('django.middleware.csrf.CsrfViewMiddleware',) ROOT_URLCONF = "test_app.urls" DATABASES = { 'default': { 'ENGINE': 'django.db.backends.sqlite3', 'NAME': 'db.db', } } TEMPLATES = [ { 'BACKEND': 'django.template.backends.django.DjangoTemplates', 'DIRS': TEMPLATE_DIRECTORIES, 'APP_DIRS': True, 'OPTIONS': { 'context_processors': [ # Insert your TEMPLATE_CONTEXT_PROCESSORS here or use this # list if you haven't customized them: 'django.contrib.auth.context_processors.auth', 'django.template.context_processors.debug', 'django.template.context_processors.i18n', 'django.template.context_processors.media', 'django.template.context_processors.static', 'django.template.context_processors.tz', 'django.contrib.messages.context_processors.messages', ], }, }, ]

26.230769

74

0.637537

import os INSTALLED_APPS = [ 'django.contrib.staticfiles', 'django.contrib.auth', 'django.contrib.contenttypes', 'django.contrib.messages', 'django.contrib.sessions', 'django.contrib.admin', 'octopus', 'test_app', 'django.contrib.sites' ] SECRET_KEY = '1' DEBUG = True STATIC_URL = '/static/' MEDIA_URL = '/media/' TEMPLATE_CONTEXT_PROCESSORS = ( 'django.core.context_processors.request', ) APPEND_SLASHES = True root_dir = os.path.dirname(os.path.realpath(__file__)) STATIC_ROOT = os.path.join(root_dir, 'static') print(STATIC_ROOT) TEMPLATE_DIRECTORIES = (os.path.join(root_dir, 'test_app/templates')) MIDDLEWARE_CLASSES = ('django.middleware.csrf.CsrfViewMiddleware',) ROOT_URLCONF = "test_app.urls" DATABASES = { 'default': { 'ENGINE': 'django.db.backends.sqlite3', 'NAME': 'db.db', } } TEMPLATES = [ { 'BACKEND': 'django.template.backends.django.DjangoTemplates', 'DIRS': TEMPLATE_DIRECTORIES, 'APP_DIRS': True, 'OPTIONS': { 'context_processors': [ 'django.contrib.auth.context_processors.auth', 'django.template.context_processors.debug', 'django.template.context_processors.i18n', 'django.template.context_processors.media', 'django.template.context_processors.static', 'django.template.context_processors.tz', 'django.contrib.messages.context_processors.messages', ], }, }, ]

true

f70d9cf7f25e83c30d0c8b68e0d3f94f33c9b726

11,212

py

Python

python/src/nnabla/utils/network.py

CeresSoft/nnabla

185b09d9dfde7d80a5c2296293b9044b74897e42

[ "Apache-2.0" ]

null

python/src/nnabla/utils/network.py

CeresSoft/nnabla

185b09d9dfde7d80a5c2296293b9044b74897e42

[ "Apache-2.0" ]

null

python/src/nnabla/utils/network.py

CeresSoft/nnabla

185b09d9dfde7d80a5c2296293b9044b74897e42

[ "Apache-2.0" ]

null

# Copyright (c) 2017 Sony Corporation. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. from nnabla.logger import logger import nnabla.function as F def print_network_traceback(funcs): logger.critical('Network traceback:') for i, func in enumerate(funcs): logger.critical('{}{}'.format( '->' if i == len(funcs) - 1 else ' ', func.name)) class Network: def setup_function(self, func): try: func.function_instance.setup( func.variable_inputs, func.variable_outputs) except: logger.critical('An error occurred while setup of function {} (nn.{}) in network {}'.format( func.name, func.function_instance.name, self.name)) logger.critical('Input variables:') for v in func.inputs: logger.critical(' {} (shape: {}, design_shape: {})'.format( v.name, str(v.variable_instance.shape), str(v.shape))) logger.critical('Output variables:') for v in func.outputs: logger.critical(' {} (shape: {}, design_shape: {})'.format( v.name, str(v.variable_instance.shape), str(v.shape))) raise # logger.debug('Setup: {} {}'.format(func.name, func.function_instance.name)) def get_forward_sequence(self, loss_variables): forward_sequence = [] for func in self.functions.values(): func.forward_complete = False for loss in loss_variables: self.__forward_recursive(forward_sequence, variable=loss) return forward_sequence def __forward_recursive(self, forward_sequence, variable=None, function=None): if not function and variable not in self.variable_inputs: return for func in [function] if function else self.variable_inputs[variable]: if func.forward_complete: continue for input_function in func.input_functions: self.__forward_recursive( forward_sequence, function=input_function) forward_sequence.append(func) func.forward_complete = True def forward(self, forward_sequence): for func in forward_sequence: try: self.forward_function(func) except: index = forward_sequence.index(func) print_network_traceback( forward_sequence[max(0, index - 4):index + 1]) raise def forward_function(self, func): try: # Uncomment when debugging expand_recurrent # print(func.name) # print(func.function_instance) # for n, inp in enumerate(func.variable_inputs): # print(' IN:', n, inp.shape, inp.d.flatten()[0]) func.function_instance.forward( func.variable_inputs, func.variable_outputs) # Uncomment when debugging expand_recurrent # for n, out in enumerate(func.variable_outputs): # print(' OUT:', n, out.shape, out.d.flatten()[0]) except: logger.critical('An error occurred while executing forward of function {} (nn.{}) in network {}'.format( func.name, func.function_instance.name, self.name)) raise def get_backward_sequence(self, loss_variables, parameter_variables_and_locallr): class BackwardSequence: loss_variables = [] variables = [] grad_variables = [] unused_variables = [] parameters = [] sequence = [] backward_sequence = BackwardSequence() backward_sequence.loss_variables = [ v.variable_instance for v in loss_variables] for p, lr in parameter_variables_and_locallr.items(): if lr > 0.0: backward_sequence.parameters.append(p.variable_instance) for func in self.functions.values(): func.backward_complete = False for p, local_lr in parameter_variables_and_locallr.items(): if local_lr > 0.0: self.__backward_recursive( backward_sequence, loss_variables, variable=p) for seq in backward_sequence.sequence: backward_sequence.variables.extend(seq.func.variable_outputs) for v in self.variables.values(): vi = v.variable_instance if vi not in backward_sequence.variables and vi not in backward_sequence.parameters: backward_sequence.unused_variables.append(vi) return backward_sequence def __backward_recursive(self, backward_sequence, loss_variables, variable=None, function=None): # logger.debug('bwcall: {}'.format(function.name if function else '')) if not function and variable not in self.variable_outputs: # terminal variable return variable in self.loss_variables diff_exists = False for func in [function] if function else self.variable_outputs[variable]: if func.backward_complete: diff_exists = True continue func.backward_complete = True for output_function in func.output_functions: if func.output_functions: diff = self.__backward_recursive( backward_sequence, loss_variables, function=output_function) diff_exists = diff_exists or diff else: # terminal function for v in loss_variables: diff_exists = diff_exists or (v in func.outputs) if diff_exists: if backward_sequence is not None: class BackwardSequenceItem: func = None accum_grad = [] seq = BackwardSequenceItem() seq.func = func for i, v in enumerate(func.variable_inputs): accum = ( v in backward_sequence.grad_variables or v in backward_sequence.parameters) and not func.function_instance.inplace_grad(i) seq.accum_grad.append(accum) if not v in backward_sequence.grad_variables: backward_sequence.grad_variables.append(v) backward_sequence.sequence.append(seq) return diff_exists def prepare_backward(self, backward_sequence, parameter_zero_grad=True): for v in backward_sequence.unused_variables: v.need_grad = False for p in backward_sequence.parameters: p.need_grad = True if parameter_zero_grad: p.grad.zero() for v in backward_sequence.variables: v.need_grad = True for l in backward_sequence.loss_variables: l.grad.fill(1.0 / l.size) def backward(self, backward_sequence, parameter_zero_grad=True): self.prepare_backward(backward_sequence, parameter_zero_grad) for seq in backward_sequence.sequence: try: self.backward_function(seq) except: index = backward_sequence.sequence.index(seq) print_network_traceback( [seq.func for seq in backward_sequence.sequence[max(0, index - 4):index + 1]]) raise def backward_function(self, seq): try: seq.func.function_instance.backward( seq.func.variable_inputs, seq.func.variable_outputs, seq.accum_grad) except: logger.critical('An error occurred while executing backward of function {} (nn.{}) in network {}'.format( seq.func.name, seq.func.function_instance.name, self.name)) raise # logger.debug('Backward: {} {}'.format(func.name, func.function_instance.name)) def setup(self, optimize=False): if optimize: for func in list(self.functions.values()): # remove identity layer if func.function_instance.name[0:8] == "Identity": assert(len(func.inputs) == 1) assert(len(func.outputs) == 1) # if the identity function is not terminal (keep terminal # identity function) if func.outputs[0] in self.variable_outputs: next_functions = self.variable_outputs[func.outputs[0]] self.variable_outputs[func.inputs[0]].remove(func) self.variable_outputs[ func.inputs[0]].extend(next_functions) for next_function in next_functions: next_function.inputs = [func.inputs[0] if v == func.outputs[ 0] else v for v in next_function.inputs] del self.functions[func.name] del self.variables[func.outputs[0].name] # create variable instances for variable in self.variables.values(): if variable.variable_instance.shape != variable.shape: if hasattr(variable.variable_instance, 'reset_shape'): variable.variable_instance.reset_shape( variable.shape, force=True) else: variable.variable_instance.reshape( variable.shape, force=True) # setup functions for i, func in enumerate(self.functions.values()): func.variable_inputs = [v.variable_instance for v in func.inputs] func.variable_outputs = [v.variable_instance for v in func.outputs] try: self.setup_function(func) except: print_network_traceback(list(self.functions.values())[ max(0, i - 4):i + 1]) raise # set link structure to each layer from itertools import chain for func in self.functions.values(): func.input_functions = list(chain.from_iterable( [self.variable_inputs[v] for v in func.inputs if v in self.variable_inputs])) func.output_functions = list(chain.from_iterable( [self.variable_outputs[v] for v in func.outputs if v in self.variable_outputs])) logger.debug(func.name) logger.debug(' in: {}'.format( [f.name for f in func.input_functions])) logger.debug(' out: {}'.format( [f.name for f in func.output_functions]))

45.392713

150

0.590528

from nnabla.logger import logger import nnabla.function as F def print_network_traceback(funcs): logger.critical('Network traceback:') for i, func in enumerate(funcs): logger.critical('{}{}'.format( '->' if i == len(funcs) - 1 else ' ', func.name)) class Network: def setup_function(self, func): try: func.function_instance.setup( func.variable_inputs, func.variable_outputs) except: logger.critical('An error occurred while setup of function {} (nn.{}) in network {}'.format( func.name, func.function_instance.name, self.name)) logger.critical('Input variables:') for v in func.inputs: logger.critical(' {} (shape: {}, design_shape: {})'.format( v.name, str(v.variable_instance.shape), str(v.shape))) logger.critical('Output variables:') for v in func.outputs: logger.critical(' {} (shape: {}, design_shape: {})'.format( v.name, str(v.variable_instance.shape), str(v.shape))) raise def get_forward_sequence(self, loss_variables): forward_sequence = [] for func in self.functions.values(): func.forward_complete = False for loss in loss_variables: self.__forward_recursive(forward_sequence, variable=loss) return forward_sequence def __forward_recursive(self, forward_sequence, variable=None, function=None): if not function and variable not in self.variable_inputs: return for func in [function] if function else self.variable_inputs[variable]: if func.forward_complete: continue for input_function in func.input_functions: self.__forward_recursive( forward_sequence, function=input_function) forward_sequence.append(func) func.forward_complete = True def forward(self, forward_sequence): for func in forward_sequence: try: self.forward_function(func) except: index = forward_sequence.index(func) print_network_traceback( forward_sequence[max(0, index - 4):index + 1]) raise def forward_function(self, func): try: func.function_instance.forward( func.variable_inputs, func.variable_outputs) except: logger.critical('An error occurred while executing forward of function {} (nn.{}) in network {}'.format( func.name, func.function_instance.name, self.name)) raise def get_backward_sequence(self, loss_variables, parameter_variables_and_locallr): class BackwardSequence: loss_variables = [] variables = [] grad_variables = [] unused_variables = [] parameters = [] sequence = [] backward_sequence = BackwardSequence() backward_sequence.loss_variables = [ v.variable_instance for v in loss_variables] for p, lr in parameter_variables_and_locallr.items(): if lr > 0.0: backward_sequence.parameters.append(p.variable_instance) for func in self.functions.values(): func.backward_complete = False for p, local_lr in parameter_variables_and_locallr.items(): if local_lr > 0.0: self.__backward_recursive( backward_sequence, loss_variables, variable=p) for seq in backward_sequence.sequence: backward_sequence.variables.extend(seq.func.variable_outputs) for v in self.variables.values(): vi = v.variable_instance if vi not in backward_sequence.variables and vi not in backward_sequence.parameters: backward_sequence.unused_variables.append(vi) return backward_sequence def __backward_recursive(self, backward_sequence, loss_variables, variable=None, function=None): if not function and variable not in self.variable_outputs: return variable in self.loss_variables diff_exists = False for func in [function] if function else self.variable_outputs[variable]: if func.backward_complete: diff_exists = True continue func.backward_complete = True for output_function in func.output_functions: if func.output_functions: diff = self.__backward_recursive( backward_sequence, loss_variables, function=output_function) diff_exists = diff_exists or diff else: for v in loss_variables: diff_exists = diff_exists or (v in func.outputs) if diff_exists: if backward_sequence is not None: class BackwardSequenceItem: func = None accum_grad = [] seq = BackwardSequenceItem() seq.func = func for i, v in enumerate(func.variable_inputs): accum = ( v in backward_sequence.grad_variables or v in backward_sequence.parameters) and not func.function_instance.inplace_grad(i) seq.accum_grad.append(accum) if not v in backward_sequence.grad_variables: backward_sequence.grad_variables.append(v) backward_sequence.sequence.append(seq) return diff_exists def prepare_backward(self, backward_sequence, parameter_zero_grad=True): for v in backward_sequence.unused_variables: v.need_grad = False for p in backward_sequence.parameters: p.need_grad = True if parameter_zero_grad: p.grad.zero() for v in backward_sequence.variables: v.need_grad = True for l in backward_sequence.loss_variables: l.grad.fill(1.0 / l.size) def backward(self, backward_sequence, parameter_zero_grad=True): self.prepare_backward(backward_sequence, parameter_zero_grad) for seq in backward_sequence.sequence: try: self.backward_function(seq) except: index = backward_sequence.sequence.index(seq) print_network_traceback( [seq.func for seq in backward_sequence.sequence[max(0, index - 4):index + 1]]) raise def backward_function(self, seq): try: seq.func.function_instance.backward( seq.func.variable_inputs, seq.func.variable_outputs, seq.accum_grad) except: logger.critical('An error occurred while executing backward of function {} (nn.{}) in network {}'.format( seq.func.name, seq.func.function_instance.name, self.name)) raise def setup(self, optimize=False): if optimize: for func in list(self.functions.values()): if func.function_instance.name[0:8] == "Identity": assert(len(func.inputs) == 1) assert(len(func.outputs) == 1) if func.outputs[0] in self.variable_outputs: next_functions = self.variable_outputs[func.outputs[0]] self.variable_outputs[func.inputs[0]].remove(func) self.variable_outputs[ func.inputs[0]].extend(next_functions) for next_function in next_functions: next_function.inputs = [func.inputs[0] if v == func.outputs[ 0] else v for v in next_function.inputs] del self.functions[func.name] del self.variables[func.outputs[0].name] for variable in self.variables.values(): if variable.variable_instance.shape != variable.shape: if hasattr(variable.variable_instance, 'reset_shape'): variable.variable_instance.reset_shape( variable.shape, force=True) else: variable.variable_instance.reshape( variable.shape, force=True) for i, func in enumerate(self.functions.values()): func.variable_inputs = [v.variable_instance for v in func.inputs] func.variable_outputs = [v.variable_instance for v in func.outputs] try: self.setup_function(func) except: print_network_traceback(list(self.functions.values())[ max(0, i - 4):i + 1]) raise from itertools import chain for func in self.functions.values(): func.input_functions = list(chain.from_iterable( [self.variable_inputs[v] for v in func.inputs if v in self.variable_inputs])) func.output_functions = list(chain.from_iterable( [self.variable_outputs[v] for v in func.outputs if v in self.variable_outputs])) logger.debug(func.name) logger.debug(' in: {}'.format( [f.name for f in func.input_functions])) logger.debug(' out: {}'.format( [f.name for f in func.output_functions]))

true

f70d9d467c7c7fa8a528741143dc4281a0fca11f

891

py

Python

thirdparty/org/apache/arrow/flatbuf/Interval.py

mrocklin/pygdf

2de9407427da9497ebdf8951a12857be0fab31bb

[ "Apache-2.0" ]

5

2018-10-17T20:28:42.000Z

2022-02-15T17:33:01.000Z

thirdparty/org/apache/arrow/flatbuf/Interval.py

mrocklin/pygdf

2de9407427da9497ebdf8951a12857be0fab31bb

[ "Apache-2.0" ]

19

2018-07-18T07:15:44.000Z

2021-02-22T17:00:18.000Z

thirdparty/org/apache/arrow/flatbuf/Interval.py

mrocklin/pygdf

2de9407427da9497ebdf8951a12857be0fab31bb

[ "Apache-2.0" ]

2

2020-05-01T09:54:34.000Z

2021-04-17T10:57:07.000Z

# automatically generated by the FlatBuffers compiler, do not modify # namespace: flatbuf import flatbuffers class Interval(object): __slots__ = ['_tab'] @classmethod def GetRootAsInterval(cls, buf, offset): n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset) x = Interval() x.Init(buf, n + offset) return x # Interval def Init(self, buf, pos): self._tab = flatbuffers.table.Table(buf, pos) # Interval def Unit(self): o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4)) if o != 0: return self._tab.Get(flatbuffers.number_types.Int16Flags, o + self._tab.Pos) return 0 def IntervalStart(builder): builder.StartObject(1) def IntervalAddUnit(builder, unit): builder.PrependInt16Slot(0, unit, 0) def IntervalEnd(builder): return builder.EndObject()

28.741935

88

0.67789

import flatbuffers class Interval(object): __slots__ = ['_tab'] @classmethod def GetRootAsInterval(cls, buf, offset): n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset) x = Interval() x.Init(buf, n + offset) return x def Init(self, buf, pos): self._tab = flatbuffers.table.Table(buf, pos) def Unit(self): o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4)) if o != 0: return self._tab.Get(flatbuffers.number_types.Int16Flags, o + self._tab.Pos) return 0 def IntervalStart(builder): builder.StartObject(1) def IntervalAddUnit(builder, unit): builder.PrependInt16Slot(0, unit, 0) def IntervalEnd(builder): return builder.EndObject()

true

f70d9e0a3d17703610d440294f28a62f2040f948

2,209

py

Python

Backend/foodieshoot_api/users/forms.py

eamorgado/FoodieShoot

87172bc295edd93aa0448bc14ce85b2710dd4aab

[ "BSD-2-Clause" ]

null

Backend/foodieshoot_api/users/forms.py

eamorgado/FoodieShoot

87172bc295edd93aa0448bc14ce85b2710dd4aab

[ "BSD-2-Clause" ]

10

2020-06-06T01:56:57.000Z

2022-03-12T00:31:25.000Z

Backend/foodieshoot_api/users/forms.py

eamorgado/FoodieShoot

87172bc295edd93aa0448bc14ce85b2710dd4aab

[ "BSD-2-Clause" ]

1

2020-07-25T09:19:37.000Z

import re from django import forms from django.utils.safestring import mark_safe from django.contrib.auth.models import User from django.contrib.auth.forms import UserCreationForm, UserChangeForm, ReadOnlyPasswordHashField from .models import Profile class UserRegisterForm(UserCreationForm): email = forms.EmailField(required=True) first_name = forms.Textarea() last_name = forms.Textarea() class Meta: model = User fields = ['username','email','first_name','last_name','password1','password2',] widgets = { 'username': forms.fields.TextInput(attrs={'placeholder': 'username'}), 'email': forms.fields.TextInput(attrs={'placeholder': 'example@foodieshoot.com'}), 'first_name': forms.fields.TextInput(attrs={'placeholder': 'First name'}), 'last_name': forms.fields.TextInput(attrs={'placeholder': 'Last name'}), } def clean_email(self): email = self.cleaned_data.get('email') username = self.cleaned_data.get('username') if email and User.objects.filter(email=email).exclude(username=username).exists(): raise forms.ValidationError(u'Email addresses must be unique.') return email class UserUpdateForm(forms.ModelForm): email = forms.EmailField() def __init__(self, *args, **kwargs): super(UserUpdateForm, self).__init__(*args, **kwargs) for fieldname in ['username','email',]: self.fields[fieldname].help_text = None class Meta: model = User fields = ['username', 'email',] def clean_email(self): email = self.cleaned_data.get('email') username = self.cleaned_data.get('username') if email and User.objects.filter(email=email).exclude(username=username).exists(): raise forms.ValidationError(u'Email addresses must be unique.') return email class ProfileUpdateForm(forms.ModelForm): def __init__(self, *args, **kwargs): super(ProfileUpdateForm, self).__init__(*args, **kwargs) for fieldname in ['image',]: self.fields[fieldname].help_text = None class Meta: model = Profile fields = ['image']

38.754386

97

0.660027

import re from django import forms from django.utils.safestring import mark_safe from django.contrib.auth.models import User from django.contrib.auth.forms import UserCreationForm, UserChangeForm, ReadOnlyPasswordHashField from .models import Profile class UserRegisterForm(UserCreationForm): email = forms.EmailField(required=True) first_name = forms.Textarea() last_name = forms.Textarea() class Meta: model = User fields = ['username','email','first_name','last_name','password1','password2',] widgets = { 'username': forms.fields.TextInput(attrs={'placeholder': 'username'}), 'email': forms.fields.TextInput(attrs={'placeholder': 'example@foodieshoot.com'}), 'first_name': forms.fields.TextInput(attrs={'placeholder': 'First name'}), 'last_name': forms.fields.TextInput(attrs={'placeholder': 'Last name'}), } def clean_email(self): email = self.cleaned_data.get('email') username = self.cleaned_data.get('username') if email and User.objects.filter(email=email).exclude(username=username).exists(): raise forms.ValidationError(u'Email addresses must be unique.') return email class UserUpdateForm(forms.ModelForm): email = forms.EmailField() def __init__(self, *args, **kwargs): super(UserUpdateForm, self).__init__(*args, **kwargs) for fieldname in ['username','email',]: self.fields[fieldname].help_text = None class Meta: model = User fields = ['username', 'email',] def clean_email(self): email = self.cleaned_data.get('email') username = self.cleaned_data.get('username') if email and User.objects.filter(email=email).exclude(username=username).exists(): raise forms.ValidationError(u'Email addresses must be unique.') return email class ProfileUpdateForm(forms.ModelForm): def __init__(self, *args, **kwargs): super(ProfileUpdateForm, self).__init__(*args, **kwargs) for fieldname in ['image',]: self.fields[fieldname].help_text = None class Meta: model = Profile fields = ['image']

true

f70d9f2a0ed020186d7f2a4487e673fdce38dca4

3,025

py

Python

src/logChunk/LanguageSwitcherFactory.py

saledouble/gitcproc

009d614fa1a56dc75acb0277ecc98ea27e91750b

[ "BSD-3-Clause" ]

null

src/logChunk/LanguageSwitcherFactory.py

saledouble/gitcproc

009d614fa1a56dc75acb0277ecc98ea27e91750b

[ "BSD-3-Clause" ]

3

2020-11-12T14:42:22.000Z

2021-01-13T22:30:23.000Z

src/logChunk/LanguageSwitcherFactory.py

saledouble/gitcproc

009d614fa1a56dc75acb0277ecc98ea27e91750b

[ "BSD-3-Clause" ]

2

2020-11-11T22:27:28.000Z

2021-01-13T21:07:14.000Z

import sys import os import yaml #PyYAML must be installed import languageSwitcher import CPlusPlusLanguageSwitcher import CLanguageSwitcher import JavaLanguageSwitcher import PythonLanguageSwitcher from UnsupportedLanguageException import * sys.path.append("../util") from Util import supportedLanguages class LanguageSwitcherFactory: extMap = {} @staticmethod def loadLanguageMap(langFile = "../../Resources/languages.yml"): with open(langFile, 'r') as f: LanguageSwitcherFactory.extMap = yaml.safe_load(f) #Create a new language switcher of the correct type. @staticmethod def createLS(language): if(LanguageSwitcherFactory.extMap == {}): LanguageSwitcherFactory.loadLanguageMap("../../Resources/languages.yml") return LanguageSwitcherFactory.determineLanguage(language) #String -> String #Given either a language name or a file extension for a language, return a normalized language string #to use @staticmethod def determineLanguage(language): #Replace these with tokens? language = language.strip() #Check for names if(language.lower() == "c++" or language.lower() in LanguageSwitcherFactory.extMap["C++"]["extensions"]): return CPlusPlusLanguageSwitcher.CPlusPlusLanguageSwitcher(set(LanguageSwitcherFactory.extMap["C++"]["extensions"])) elif(language.lower() == "c" or language.lower() in LanguageSwitcherFactory.extMap["C"]["extensions"]): return CLanguageSwitcher.CLanguageSwitcher(set(LanguageSwitcherFactory.extMap["C"]["extensions"])) elif(language.lower() == "java" or language.lower() in LanguageSwitcherFactory.extMap["Java"]["extensions"]): return JavaLanguageSwitcher.JavaLanguageSwitcher(set(LanguageSwitcherFactory.extMap["Java"]["extensions"])) elif(language.lower() == "python" or language.lower() in LanguageSwitcherFactory.extMap["Python"]["extensions"]): return PythonLanguageSwitcher.PythonLanguageSwitcher(set(LanguageSwitcherFactory.extMap["Python"]["extensions"])) else: print((LanguageSwitcherFactory.extMap["C"]["extensions"])) raise UnsupportedLanguageException(language + " not yet supported.") @staticmethod def getExtensions(languages): ''' Given some languages, return the set of extensions associated with them. If no languages are given or none in the set are recognized, return the extensions for all recognized languages. If only a portion are recognized, return the set of extensions for just these languages. ''' extensions = set() for l in languages: try: extensions.update(LanguageSwitcherFactory.createLS(l).getExtensions()) except UnsupportedLanguageException: #skip unrecognized languages pass if (len(extensions) == 0): return getExtensions(supportedLanguages) else: return extensions

43.84058

128

0.698843

import sys import os import yaml import languageSwitcher import CPlusPlusLanguageSwitcher import CLanguageSwitcher import JavaLanguageSwitcher import PythonLanguageSwitcher from UnsupportedLanguageException import * sys.path.append("../util") from Util import supportedLanguages class LanguageSwitcherFactory: extMap = {} @staticmethod def loadLanguageMap(langFile = "../../Resources/languages.yml"): with open(langFile, 'r') as f: LanguageSwitcherFactory.extMap = yaml.safe_load(f) @staticmethod def createLS(language): if(LanguageSwitcherFactory.extMap == {}): LanguageSwitcherFactory.loadLanguageMap("../../Resources/languages.yml") return LanguageSwitcherFactory.determineLanguage(language) @staticmethod def determineLanguage(language): language = language.strip() if(language.lower() == "c++" or language.lower() in LanguageSwitcherFactory.extMap["C++"]["extensions"]): return CPlusPlusLanguageSwitcher.CPlusPlusLanguageSwitcher(set(LanguageSwitcherFactory.extMap["C++"]["extensions"])) elif(language.lower() == "c" or language.lower() in LanguageSwitcherFactory.extMap["C"]["extensions"]): return CLanguageSwitcher.CLanguageSwitcher(set(LanguageSwitcherFactory.extMap["C"]["extensions"])) elif(language.lower() == "java" or language.lower() in LanguageSwitcherFactory.extMap["Java"]["extensions"]): return JavaLanguageSwitcher.JavaLanguageSwitcher(set(LanguageSwitcherFactory.extMap["Java"]["extensions"])) elif(language.lower() == "python" or language.lower() in LanguageSwitcherFactory.extMap["Python"]["extensions"]): return PythonLanguageSwitcher.PythonLanguageSwitcher(set(LanguageSwitcherFactory.extMap["Python"]["extensions"])) else: print((LanguageSwitcherFactory.extMap["C"]["extensions"])) raise UnsupportedLanguageException(language + " not yet supported.") @staticmethod def getExtensions(languages): extensions = set() for l in languages: try: extensions.update(LanguageSwitcherFactory.createLS(l).getExtensions()) except UnsupportedLanguageException: pass if (len(extensions) == 0): return getExtensions(supportedLanguages) else: return extensions

true

f70da0756d9a21f26d787bc1f5bd830aee541599

566

py

Python

src/contexts/kms/cryptokeys/domain/create_one/CryptoInvalidValueError.py

parada3desu/foxy-key-broker

fc95de9e9bfd61c506a9a18aa64c5c9cbeac8a9c

[ "Apache-2.0" ]

null

src/contexts/kms/cryptokeys/domain/create_one/CryptoInvalidValueError.py

parada3desu/foxy-key-broker

fc95de9e9bfd61c506a9a18aa64c5c9cbeac8a9c

[ "Apache-2.0" ]

null

src/contexts/kms/cryptokeys/domain/create_one/CryptoInvalidValueError.py

parada3desu/foxy-key-broker

fc95de9e9bfd61c506a9a18aa64c5c9cbeac8a9c

[ "Apache-2.0" ]

null

from typing import Union, Dict, List from src.contexts.shared.domain.errors.DomainError import DomainError class CryptoKeyInvalidValueError(DomainError): ERROR_ID = '8fd818c5-10dc-4639-82ac-d4b37394517d' def __init__(self, msg: str = None): if msg is None: msg = 'Invalid value for CryptoKey found.' self.message = msg def to_primitives(self) -> Union[Dict, List]: return { 'message': self.message, 'id': self.ERROR_ID, } def get_id(self) -> str: return self.ERROR_ID

25.727273

69

0.634276

from typing import Union, Dict, List from src.contexts.shared.domain.errors.DomainError import DomainError class CryptoKeyInvalidValueError(DomainError): ERROR_ID = '8fd818c5-10dc-4639-82ac-d4b37394517d' def __init__(self, msg: str = None): if msg is None: msg = 'Invalid value for CryptoKey found.' self.message = msg def to_primitives(self) -> Union[Dict, List]: return { 'message': self.message, 'id': self.ERROR_ID, } def get_id(self) -> str: return self.ERROR_ID

true

f70da14696e1d9db2fc019e8d79d9e4912df1421

122

py

Python

pycolfin/__init__.py

patpatpatpatpat/pycolfin

80ca7c226db6352ac9d0dd062ff02dc85d629f51

[ "MIT" ]

2

2016-08-29T03:14:38.000Z

2017-11-03T13:07:02.000Z

pycolfin/__init__.py

patpatpatpatpat/pycolfin

80ca7c226db6352ac9d0dd062ff02dc85d629f51

[ "MIT" ]

10

2016-07-18T08:47:31.000Z

2020-12-09T10:23:58.000Z

pycolfin/__init__.py

patpatpatpatpat/pycolfin

80ca7c226db6352ac9d0dd062ff02dc85d629f51

[ "MIT" ]

null

# -*- coding: utf-8 -*- __author__ = 'Ed Patrick Tan' __email__ = 'pat.keeps.looking.up@gmail.com' __version__ = '0.1.0'

20.333333

44

0.655738

__author__ = 'Ed Patrick Tan' __email__ = 'pat.keeps.looking.up@gmail.com' __version__ = '0.1.0'

true

f70da2799444bc2f78a541b418d0dfd6472ce7be

1,312

py

Python

auth/setup.py

tombriden/google-music-manager

fcdd69eef51cffd65cc1ad8616ff15cb55619a07

[ "MIT" ]

null

auth/setup.py

tombriden/google-music-manager

fcdd69eef51cffd65cc1ad8616ff15cb55619a07

[ "MIT" ]

null

auth/setup.py

tombriden/google-music-manager

fcdd69eef51cffd65cc1ad8616ff15cb55619a07

[ "MIT" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- from setuptools import setup, find_packages __version__ = '1.0.1' setup( name='google_music_manager_auth', python_requires=">=3", version=__version__, packages=find_packages(), author="Jay MOULIN", author_email="jaymoulin@gmail.com", description="Google MusicManager package to manage your music library to Google Music - Auth module", long_description=open('README.rst').read(), install_requires=["gmusicapi"], include_package_data=True, url='http://github.com/jaymoulin/google-music-manager/', classifiers=[ "Development Status :: 5 - Production/Stable", "Programming Language :: Python", "License :: OSI Approved :: MIT License", "Natural Language :: English", "Operating System :: OS Independent", "Programming Language :: Python :: 3", "Topic :: Communications :: File Sharing", "Topic :: Artistic Software", "Topic :: Internet :: File Transfer Protocol (FTP)", "Topic :: Home Automation", "Topic :: Internet", "Topic :: Multimedia :: Sound/Audio", ], entry_points={ 'console_scripts': [ 'google-music-auth = google_music_manager_auth.auth:main', ], }, license="MIT", )

32

105

0.625762

from setuptools import setup, find_packages __version__ = '1.0.1' setup( name='google_music_manager_auth', python_requires=">=3", version=__version__, packages=find_packages(), author="Jay MOULIN", author_email="jaymoulin@gmail.com", description="Google MusicManager package to manage your music library to Google Music - Auth module", long_description=open('README.rst').read(), install_requires=["gmusicapi"], include_package_data=True, url='http://github.com/jaymoulin/google-music-manager/', classifiers=[ "Development Status :: 5 - Production/Stable", "Programming Language :: Python", "License :: OSI Approved :: MIT License", "Natural Language :: English", "Operating System :: OS Independent", "Programming Language :: Python :: 3", "Topic :: Communications :: File Sharing", "Topic :: Artistic Software", "Topic :: Internet :: File Transfer Protocol (FTP)", "Topic :: Home Automation", "Topic :: Internet", "Topic :: Multimedia :: Sound/Audio", ], entry_points={ 'console_scripts': [ 'google-music-auth = google_music_manager_auth.auth:main', ], }, license="MIT", )

true

f70da28ac6692ac932239b685896870375bd2ff4

49,635

py

Python

src/licensedcode/models.py

abhi27-web/scancode-toolk

66f59168fb7824ab9be332712dcaf16340e1aa22

[ "Apache-2.0", "CC0-1.0" ]

null

src/licensedcode/models.py

abhi27-web/scancode-toolk

66f59168fb7824ab9be332712dcaf16340e1aa22

[ "Apache-2.0", "CC0-1.0" ]

null

src/licensedcode/models.py

abhi27-web/scancode-toolk

66f59168fb7824ab9be332712dcaf16340e1aa22

[ "Apache-2.0", "CC0-1.0" ]

null

# # Copyright (c) 2018 nexB Inc. and others. All rights reserved. # http://nexb.com and https://github.com/nexB/scancode-toolkit/ # The ScanCode software is licensed under the Apache License version 2.0. # Data generated with ScanCode require an acknowledgment. # ScanCode is a trademark of nexB Inc. # # You may not use this software except in compliance with the License. # You may obtain a copy of the License at: http://apache.org/licenses/LICENSE-2.0 # Unless required by applicable law or agreed to in writing, software distributed # under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR # CONDITIONS OF ANY KIND, either express or implied. See the License for the # specific language governing permissions and limitations under the License. # # When you publish or redistribute any data created with ScanCode or any ScanCode # derivative work, you must accompany this data with the following acknowledgment: # # Generated with ScanCode and provided on an "AS IS" BASIS, WITHOUT WARRANTIES # OR CONDITIONS OF ANY KIND, either express or implied. No content created from # ScanCode should be considered or used as legal advice. Consult an Attorney # for any legal advice. # ScanCode is a free software code scanning tool from nexB Inc. and others. # Visit https://github.com/nexB/scancode-toolkit/ for support and download. from __future__ import absolute_import from __future__ import division from __future__ import print_function from __future__ import unicode_literals from collections import Counter from collections import defaultdict from collections import OrderedDict from functools import partial from itertools import chain import io from operator import itemgetter from os.path import abspath from os.path import dirname from os.path import exists from os.path import join import traceback import attr from license_expression import Licensing from commoncode.fileutils import copyfile from commoncode.fileutils import file_base_name from commoncode.fileutils import file_name from commoncode.fileutils import resource_iter from commoncode import saneyaml from licensedcode import MIN_MATCH_HIGH_LENGTH from licensedcode import MIN_MATCH_LENGTH from licensedcode import SMALL_RULE from licensedcode.tokenize import query_tokenizer from textcode.analysis import numbered_text_lines """ Reference License and license Rule structures persisted as a combo of a YAML data file and one or more text files containing license or notice texts. """ # Set to True to print more detailed representations of objects when tracing TRACE_REPR = False # these are globals but always side-by-side with the code so do no not move them around data_dir = join(abspath(dirname(__file__)), 'data') licenses_data_dir = join(data_dir, 'licenses') rules_data_dir = join(data_dir, 'rules') FOSS_CATEGORIES = set([ 'Copyleft', 'Copyleft Limited', 'Patent License', 'Permissive', 'Public Domain', ]) OTHER_CATEGORIES = set([ 'Commercial', 'Proprietary Free', 'Free Restricted', 'Source-available', 'Unstated License', ]) CATEGORIES = FOSS_CATEGORIES | OTHER_CATEGORIES @attr.s(slots=True) class License(object): """ A license consists of these files, where <key> is the license key: - <key>.yml : the license data in YAML - <key>.LICENSE: the license text A License object is identified by a unique `key` and its data stored in the `src_dir` directory. Key is a lower-case unique ascii string. """ __attrib = partial(attr.ib, repr=False) # unique key: lower case ASCII characters, digits, underscore and dots. key = attr.ib(default=None, repr=True) src_dir = __attrib(default=licenses_data_dir) # if this is a deprecated license, add also notes explaining why is_deprecated = __attrib(default=False) # if this license text is not in English, set this field to a two letter # ISO 639-1 language code https://en.wikipedia.org/wiki/ISO_639-1 # NOTE: this is not yet supported. # NOTE: each translation of a license text MUST have a different license key language = __attrib(default='en') # commonly used short name, often abbreviated. short_name = __attrib(default=None) # full name. name = __attrib(default=None) # Permissive, Copyleft, etc category = __attrib(default=None) owner = __attrib(default=None) homepage_url = __attrib(default=None) notes = __attrib(default=None) # if this is a license exception, the license key this exception applies to is_exception = __attrib(default=False) # SPDX key for SPDX licenses spdx_license_key = __attrib(default=None) # list of other keys, such as deprecated ones other_spdx_license_keys = __attrib(default=attr.Factory(list)) # OSI License Key osi_license_key = __attrib(default=None) # Various URLs for info text_urls = __attrib(default=attr.Factory(list)) osi_url = __attrib(default=None) faq_url = __attrib(default=None) other_urls = __attrib(default=attr.Factory(list)) # various alternate keys for this license key_aliases = __attrib(default=attr.Factory(list)) minimum_coverage = __attrib(default=0) standard_notice = __attrib(default=None) # lists of copuyrights, emails and URLs that can be ignored when detected # in this license as they are part of the license or rule text itself ignorable_copyrights = __attrib(default=attr.Factory(list)) ignorable_authors = __attrib(default=attr.Factory(list)) ignorable_holders = __attrib(default=attr.Factory(list)) ignorable_urls = __attrib(default=attr.Factory(list)) ignorable_emails = __attrib(default=attr.Factory(list)) # data file paths and known extensions data_file = __attrib(default=None) text_file = __attrib(default=None) def __attrs_post_init__(self, *args, **kwargs): if self.src_dir: self.set_file_paths() if exists(self.data_file): self.load() def set_file_paths(self): self.data_file = join(self.src_dir, self.key + '.yml') self.text_file = join(self.src_dir, self.key + '.LICENSE') def relocate(self, target_dir, new_key=None): """ Return f copy of this license object relocated to f new `src_dir`. The data and license text files are persisted in the new `src_dir`. """ if not target_dir or target_dir == self.src_dir: raise ValueError( 'Cannot relocate {} License to empty directory or same directory.'.format(self.key)) if new_key: key = new_key else: key = self.key newl = License(key, target_dir) # copy fields excluded_fields = ('key', 'src_dir', 'data_file', 'text_file',) all_fields = attr.fields(self.__class__) attrs = [f.name for f in all_fields if f.name not in excluded_fields] for name in attrs: setattr(newl, name, getattr(self, name)) # save it all to files if self.text: copyfile(self.text_file, newl.text_file) newl.dump() return newl def update(self, mapping): for k, v in mapping.items(): setattr(self, k, v) def __copy__(self): oldl = self.to_dict() newl = License(key=self.key) newl.update(oldl) return newl @property def text(self): """ License text, re-loaded on demand. """ return self._read_text(self.text_file) def to_dict(self): """ Return an OrderedDict of license data (excluding texts). Fields with empty values are not included. """ # do not dump false, empties and paths def dict_fields(attr, value): if not value: return False if attr.name in ('data_file', 'text_file', 'src_dir',): return False # default to English if attr.name == 'language' and value == 'en': return False if attr.name == 'minimum_coverage' and value == 100: return False return True data = attr.asdict(self, filter=dict_fields, dict_factory=OrderedDict) cv = data.get('minimum_coverage') if cv and isinstance(cv, float) and int(cv) == cv: cv = int(cv) data['minimum_coverage'] = cv return data def dump(self): """ Dump a representation of this license as two files: - <key>.yml : the license data in YAML - <key>.LICENSE: the license text """ def write(location, byte_string): # we write as binary because rules and licenses texts and data are UTF-8-encoded bytes with io.open(location, 'wb') as of: of.write(byte_string) as_yaml = saneyaml.dump(self.to_dict(), indent=4, encoding='utf-8') write(self.data_file, as_yaml) if self.text: write(self.text_file, self.text.encode('utf-8')) def load(self): """ Populate license data from a YAML file stored in of self.src_dir. Does not load text files. Unknown fields are ignored and not bound to the License object. """ try: with io.open(self.data_file, encoding='utf-8') as f: data = saneyaml.load(f.read()) numeric_keys = ('minimum_coverage', 'relevance') for k, v in data.items(): if k in numeric_keys: v = int(v) if k == 'key': assert self.key == v, 'Inconsistent YAML key and file names for %r' % self.key setattr(self, k, v) except Exception as e: # this is a rare case: fail loudly print() print('#############################') print('INVALID LICENSE YAML FILE:', 'file://' + self.data_file) print('#############################') print(e) print('#############################') raise def _read_text(self, location): if not exists(location): text = '' else: with io.open(location, encoding='utf-8') as f: text = f.read() return text def spdx_keys(self): """ Yield SPDX keys for this license. """ if self.spdx_license_key: yield self.spdx_license_key for key in self.other_spdx_license_keys: yield key @staticmethod def validate(licenses, verbose=False, no_dupe_urls=False): """ Check that licenses are valid. `licenses` is a mapping of key -> License. Return dictionaries of infos, errors and warnings mapping a license key to validation issue messages. Print messages if verbose is True. NOTE: we DO NOT run this validation as part of the loading or construction of License objects. Instead this is invoked ONLY as part of the test suite. """ infos = defaultdict(list) warnings = defaultdict(list) errors = defaultdict(list) # used for global dedupe of texts by_spdx_key = defaultdict(list) by_text = defaultdict(list) by_short_name = defaultdict(list) by_name = defaultdict(list) for key, lic in licenses.items(): warn = warnings[key].append info = infos[key].append error = errors[key].append by_name[lic.name].append(lic) by_short_name[lic.short_name].append(lic) if not lic.short_name: error('No short name') if not lic.name: error('No name') if not lic.category: error('No category') if lic.category and lic.category not in CATEGORIES: cats = '\n'.join(sorted(CATEGORIES)) error('Unknown license category: {}.\nUse one of these valid categories:\n{}'.format(lic.category, cats)) if not lic.owner: error('No owner') # URLS dedupe and consistency if no_dupe_urls: if lic.text_urls and not all(lic.text_urls): warn('Some empty text_urls values') if lic.other_urls and not all(lic.other_urls): warn('Some empty other_urls values') # redundant URLs used multiple times if lic.homepage_url: if lic.homepage_url in lic.text_urls: warn('Homepage URL also in text_urls') if lic.homepage_url in lic.other_urls: warn('Homepage URL also in other_urls') if lic.homepage_url == lic.faq_url: warn('Homepage URL same as faq_url') if lic.homepage_url == lic.osi_url: warn('Homepage URL same as osi_url') if lic.osi_url or lic.faq_url: if lic.osi_url == lic.faq_url: warn('osi_url same as faq_url') all_licenses = lic.text_urls + lic.other_urls for url in lic.osi_url, lic.faq_url, lic.homepage_url: if url: all_licenses.append(url) if not len(all_licenses) == len(set(all_licenses)): warn('Some duplicated URLs') # local text consistency text = lic.text license_qtokens = tuple(query_tokenizer(text)) if not license_qtokens: info('No license text') else: # for global dedupe by_text[license_qtokens].append(key + ': TEXT') # SPDX consistency if lic.spdx_license_key: by_spdx_key[lic.spdx_license_key].append(key) for oslk in lic.other_spdx_license_keys: by_spdx_key[oslk].append(key) # global SPDX consistency multiple_spdx_keys_used = {k: v for k, v in by_spdx_key.items() if len(v) > 1} if multiple_spdx_keys_used: for k, lkeys in multiple_spdx_keys_used.items(): errors['GLOBAL'].append('SPDX key: ' + k + ' used in multiple licenses: ' + ', '.join(sorted(lkeys))) # global text dedupe multiple_texts = {k: v for k, v in by_text.items() if len(v) > 1} if multiple_texts: for k, msgs in multiple_texts.items(): errors['GLOBAL'].append('Duplicate texts in multiple licenses:' + ', '.join(sorted(msgs))) # global short_name dedupe for short_name, licenses in by_short_name.items(): if len(licenses) == 1: continue errors['GLOBAL'].append('Duplicate short name:' + short_name + ' in licenses:' + ', '.join(l.key for l in licenses)) # global name dedupe for name, licenses in by_name.items(): if len(licenses) == 1: continue errors['GLOBAL'].append('Duplicate name:' + name + ' in licenses:' + ', '.join(l.key for l in licenses)) errors = {k: v for k, v in errors.items() if v} warnings = {k: v for k, v in warnings.items() if v} infos = {k: v for k, v in infos.items() if v} if verbose: print('Licenses validation errors:') for key, msgs in sorted(errors.items()): print('ERRORS for:', key, ':', '\n'.join(msgs)) print('Licenses validation warnings:') for key, msgs in sorted(warnings.items()): print('WARNINGS for:', key, ':', '\n'.join(msgs)) print('Licenses validation infos:') for key, msgs in sorted(infos.items()): print('INFOS for:', key, ':', '\n'.join(msgs)) return errors, warnings, infos def ignore_editor_tmp_files(location): return location.endswith('.swp') def load_licenses(licenses_data_dir=licenses_data_dir , with_deprecated=False): """ Return a mapping of key -> license objects, loaded from license files. Raise Exceptions if there are dangling orphaned files. """ licenses = {} used_files = set() all_files = set(resource_iter(licenses_data_dir, ignored=ignore_editor_tmp_files, with_dirs=False)) for data_file in sorted(all_files): if data_file.endswith('.yml'): key = file_base_name(data_file) lic = License(key, licenses_data_dir) used_files.add(data_file) if exists(lic.text_file): used_files.add(lic.text_file) if not with_deprecated and lic.is_deprecated: continue licenses[key] = lic dangling = all_files.difference(used_files) if dangling: msg = 'Some License data or text files are orphaned in "{}".\n'.format(licenses_data_dir) msg += '\n'.join('file://{}'.format(f) for f in sorted(dangling)) raise Exception(msg) return licenses def get_rules(licenses_data_dir=licenses_data_dir, rules_data_dir=rules_data_dir): """ Yield Rule objects loaded from license files found in `licenses_data_dir` and rule files fourn in `rules_data_dir`. Raise a Exceptions if a rule is inconsistent or incorrect. """ from licensedcode.cache import get_licenses_db licenses = get_licenses_db(licenses_data_dir=licenses_data_dir) rules = list(load_rules(rules_data_dir=rules_data_dir)) check_rules_integrity(rules, licenses) licenses_as_rules = build_rules_from_licenses(licenses) return chain(licenses_as_rules, rules) class MissingLicenses(Exception): pass class MissingFlags(Exception): pass def check_rules_integrity(rules, licenses_by_key): """ Given a lists of `rules`, check that all the rule license keys reference a known license from a mapping of `licenses_by_key `(key->license). Raise a MissingLicense exception with a message containing the list of rule files without a corresponding license. """ invalid_rules = defaultdict(set) rules_without_flags = set() for rule in rules: unknown_keys = [key for key in rule.license_keys() if key not in licenses_by_key] if unknown_keys: invalid_rules[rule.data_file].update(unknown_keys) if not rule.has_flags and not (rule.is_negative or rule.is_false_positive): rules_without_flags.add(rule.data_file) if invalid_rules: invalid_rules = ( ' '.join(keys) + '\n' + 'file://' + data_file + '\n' + 'file://' + data_file.replace('.yml', '.RULE') + '\n' for data_file, keys in invalid_rules.items() if keys) msg = 'Rules referencing missing licenses:\n' + '\n'.join(sorted(invalid_rules)) raise MissingLicenses(msg) if rules_without_flags: invalid_rules = ( 'file://' + data_file + '\n' + 'file://' + data_file.replace('.yml', '.RULE') + '\n' for data_file in sorted(rules_without_flags)) msg = 'Rules without is_license_xxx flags:\n' + '\n'.join(sorted(invalid_rules)) raise MissingFlags(msg) def build_rules_from_licenses(licenses): """ Return an iterable of rules built from each license text from a `licenses` iterable of license objects. """ for license_key, license_obj in licenses.items(): text_file = join(license_obj.src_dir, license_obj.text_file) if exists(text_file): minimum_coverage = license_obj.minimum_coverage or 0 yield Rule( text_file=text_file, license_expression=license_key, has_stored_relevance=False, relevance=100, has_stored_minimum_coverage=bool(minimum_coverage), minimum_coverage=minimum_coverage, is_license=True, is_license_text=True, ignorable_copyrights=license_obj.ignorable_copyrights, ignorable_holders=license_obj.ignorable_holders, ignorable_authors=license_obj.ignorable_authors, ignorable_urls=license_obj.ignorable_urls, ignorable_emails=license_obj.ignorable_emails, ) def get_all_spdx_keys(licenses): """ Return an iterable of SPDX license keys collected from a `licenses` iterable of license objects. """ for lic in licenses.values(): for spdx_key in lic.spdx_keys(): yield spdx_key def get_essential_spdx_tokens(): """ Yield essential SPDX tokens. """ yield 'spdx' yield 'license' yield 'licence' yield 'identifier' yield 'licenseref' def get_all_spdx_key_tokens(licenses): """ Yield token strings collected from a `licenses` iterable of license objects' SPDX license keys. """ for tok in get_essential_spdx_tokens(): yield tok for spdx_key in get_all_spdx_keys(licenses): for token in query_tokenizer(spdx_key): yield token def load_rules(rules_data_dir=rules_data_dir): """ Return an iterable of rules loaded from rule files. """ # TODO: OPTIMIZE: create a graph of rules to account for containment and # similarity clusters? seen_files = set() processed_files = set() lower_case_files = set() case_problems = set() space_problems = [] model_errors = [] for data_file in resource_iter(rules_data_dir, with_dirs=False): if data_file.endswith('.yml'): base_name = file_base_name(data_file) if ' ' in base_name: space_problems.append(data_file) rule_file = join(rules_data_dir, base_name + '.RULE') try: rule = Rule(data_file=data_file, text_file=rule_file) yield rule except Exception as re: model_errors.append(str(re)) # accumulate sets to ensures we do not have illegal names or extra # orphaned files data_lower = data_file.lower() if data_lower in lower_case_files: case_problems.add(data_lower) else: lower_case_files.add(data_lower) rule_lower = rule_file.lower() if rule_lower in lower_case_files: case_problems.add(rule_lower) else: lower_case_files.add(rule_lower) processed_files.update([data_file, rule_file]) if not data_file.endswith('~'): seen_files.add(data_file) unknown_files = seen_files - processed_files if unknown_files or case_problems or model_errors or space_problems: msg = '' if model_errors: errors = '\n'.join(model_errors) msg += '\nInvalid rule YAML in directory: %(rules_data_dir)r\n%(errors)s' % locals() if unknown_files: files = '\n'.join(sorted('file://' + f for f in unknown_files)) msg += '\nOrphaned files in rule directory: %(rules_data_dir)r\n%(files)s' % locals() if case_problems: files = '\n'.join(sorted('file://' + f for f in case_problems)) msg += '\nRule files with non-unique name ignoring casein rule directory: %(rules_data_dir)r\n%(files)s' % locals() if space_problems: files = '\n'.join(sorted('"file://' + f + '"' for f in space_problems)) msg += '\nRule files name cannot contain spaces: %(rules_data_dir)r\n%(files)s' % locals() raise Exception(msg) @attr.s(slots=True) class Rule(object): """ A detection rule object is a text to use for detection and corresponding detected licenses and metadata. """ licensing = Licensing() ########### # FIXME: !!! TWO RULES MAY DIFFER BECAUSE THEY ARE UPDATED BY INDEXING ########### # optional rule id int typically assigned at indexing time rid = attr.ib(default=None, repr=TRACE_REPR) # unique identifier identifier = attr.ib(default=None) # License expression string license_expression = attr.ib(default=None) # License expression object, created at build time license_expression_object = attr.ib(default=None, repr=False) # an indication of what this rule importance is (e.g. how important is its # text when detected as a licensing clue) as one of several flags: # for a license full text: this provides the highest level of confidence wrt # detection is_license_text = attr.ib(default=False, repr=False) # for a license notice: this provides a strong confidence wrt detection is_license_notice = attr.ib(default=False, repr=False) # reference for a mere short license reference such as its bare name or a URL # this provides a weak confidence wrt detection is_license_reference = attr.ib(default=False, repr=False) # tag for a structured licensing tag such as a package manifest metadata or # an SPDX license identifier or similar package manifest tag # this provides a strong confidence wrt detection is_license_tag = attr.ib(default=False, repr=False) # is this rule text a false positive when matched? it will filtered out at # the end if matched is_false_positive = attr.ib(default=False, repr=False) # is this rule text a negative rule? it will be removed from the matchable # text the start if matched is_negative = attr.ib(default=False, repr=False) # is this rule text only to be matched with a minimum coverage e.g. a # minimum proportion of tokens as a float between 0 and 100 where 100 means # all tokens must be matched and a smaller value means a smaller propertion # of matched tokens is acceptable. this is computed unless this is provided # here. minimum_coverage = attr.ib(default=0) has_stored_minimum_coverage = attr.ib(default=False, repr=False) # same as minimum_coverage but divided/100 _minimum_containment = attr.ib(default=0, repr=False) # Can this rule be matched if there are unknown words in its matched range? # The default is to allow known and unknown words. Unknown words are words # that do not exist in the text of any indexed license or license detection # rule. only_known_words = attr.ib(default=False) # what is the relevance of a match to this rule text? a float between 0 and # 100 where 100 means highly relevant and 0 menas not relevant at all. # For instance a match to the "gpl" or the "cpol" words have a fairly low # relevance as they are a weak indication of an actual license and could be # a false positive. In somce cases, this may even be used to discard obvious # false positive matches automatically. relevance = attr.ib(default=100) has_stored_relevance = attr.ib(default=False, repr=False) # The rule contains a reference to some file name that comtains the text referenced_filenames = attr.ib(default=attr.Factory(list), repr=False) # optional, free text notes = attr.ib(default=None, repr=False) # set to True if the rule is built from a .LICENSE full text is_license = attr.ib(default=False, repr=False) # lists of copuyrights, emails and URLs that can be ignored when detected # in this license as they are part of the license or rule text itself ignorable_copyrights = attr.ib(default=attr.Factory(list), repr=False) ignorable_holders = attr.ib(default=attr.Factory(list), repr=False) ignorable_authors = attr.ib(default=attr.Factory(list), repr=False) ignorable_urls = attr.ib(default=attr.Factory(list), repr=False) ignorable_emails = attr.ib(default=attr.Factory(list), repr=False) ########################################################################### # path to the YAML data file for this rule data_file = attr.ib(default=None, repr=False) # path to the rule text file text_file = attr.ib(default=None, repr=False) # text of this rule for special cases where the rule is not backed by a file: # for SPDX license expression dynamic rules or testing stored_text = attr.ib(default=None, repr=False) # These attributes are computed upon text loading or setting the thresholds ########################################################################### # lengths in tokens length = attr.ib(default=0) min_matched_length = attr.ib(default=0, repr=TRACE_REPR) high_length = attr.ib(default=0, repr=TRACE_REPR) min_high_matched_length = attr.ib(default=0, repr=TRACE_REPR) # lengths in unique token. length_unique = attr.ib(default=0, repr=TRACE_REPR) min_matched_length_unique = attr.ib(default=0, repr=TRACE_REPR) high_length_unique = attr.ib(default=0, repr=TRACE_REPR) min_high_matched_length_unique = attr.ib(default=0, repr=TRACE_REPR) is_small = attr.ib(default=False, repr=TRACE_REPR) has_computed_thresholds = attr.ib(default=False, repr=False) def get_length(self, unique=False): return self.length_unique if unique else self.length def get_min_matched_length(self, unique=False): return (self.min_matched_length_unique if unique else self.min_matched_length) def get_high_length(self, unique=False): return self.high_length_unique if unique else self.high_length def get_min_high_matched_length(self, unique=False): return (self.min_high_matched_length_unique if unique else self.min_high_matched_length) def __attrs_post_init__(self, *args, **kwargs): if not self.text_file: # for SPDX or tests only if not self.stored_text : raise Exception('Invalid rule without its corresponding text file: {}'.format(self)) self.identifier = '_tst_' + str(len(self.stored_text)) else: self.identifier = file_name(self.text_file) if self.data_file: try: self.load() except Exception as e: data_file = self.data_file trace = traceback.format_exc() message = 'While loading: file://{data_file}\n{trace}'.format(**locals()) raise Exception(message) if self.relevance and self.relevance != 100: self.has_stored_relevance = True if self.minimum_coverage: self.has_stored_minimum_coverage = True if self.license_expression: try: expression = self.licensing.parse(self.license_expression) except: raise Exception( 'Unable to parse License rule expression: ' +repr(self.license_expression) + ' for: file://' + self.data_file + '\n' + traceback.format_exc() ) if expression is None: raise Exception( 'Unable to parse License rule expression: ' +repr(self.license_expression) + ' for: file://' + self.data_file) self.license_expression = expression.render() self.license_expression_object = expression def tokens(self): """ Return an iterable of token strings for this rule. Length, relevance and minimum_coverage may be recomputed as a side effect. """ length = 0 text = self.text() text = text.strip() # FIXME: this is weird: # We tag this rule as being a bare URL if it starts with a scheme and is # on one line: this is used to determine a matching approach # FIXME: this does not lower the text first?? if text.startswith(('http://', 'https://', 'ftp://')) and '\n' not in text[:1000].lower(): self.minimum_coverage = 100 for token in query_tokenizer(self.text()): length += 1 yield token self.length = length self.compute_relevance() def text(self): """ Return the rule text loaded from its file. """ if self.text_file and exists(self.text_file): # IMPORTANT: use the same process as query text loading for symmetry numbered_lines = numbered_text_lines(self.text_file, demarkup=False, plain_text=True) return ''.join(l for _, l in numbered_lines) # used for non-file backed rules elif self.stored_text: return self.stored_text else: raise Exception('Inconsistent rule text for: ' + self.identifier + '\nfile://' + self.text_file) def license_keys(self, unique=True): """ Return a list of license keys for this rule. """ if not self.license_expression: return [] return self.licensing.license_keys(self.license_expression_object, unique=unique) def same_licensing(self, other): """ Return True if the other rule has the same licensing as this rule. """ if self.license_expression and other.license_expression: return self.licensing.is_equivalent( self.license_expression_object, other.license_expression_object) def licensing_contains(self, other): """ Return True if this rule licensing contains the other rule licensing. """ if self.license_expression and other.license_expression: return self.licensing.contains( self.license_expression_object, other.license_expression_object) def compute_thresholds(self, small_rule=SMALL_RULE): """ Compute and set thresholds either considering the occurrence of all tokens or the occurance of unique tokens. """ minimum_coverage, self.min_matched_length, self.min_high_matched_length = ( compute_thresholds_occurences( self.minimum_coverage, self.length, self.high_length)) if not self.has_stored_minimum_coverage: self.minimum_coverage = minimum_coverage self._minimum_containment = self.minimum_coverage / 100 self.min_matched_length_unique, self.min_high_matched_length_unique = ( compute_thresholds_unique( self.minimum_coverage, self.length, self.length_unique, self.high_length_unique)) self.is_small = self.length < small_rule def to_dict(self): """ Return an ordered mapping of self, excluding texts. Used for serialization. Empty values are not included. """ data = OrderedDict() if self.license_expression: data['license_expression'] = self.license_expression flags = ( 'is_false_positive', 'is_negative', 'is_license_text', 'is_license_notice', 'is_license_reference', 'is_license_tag', 'only_known_words', ) for flag in flags: tag_value = getattr(self, flag, False) if tag_value: data[flag] = tag_value if self.has_stored_relevance and self.relevance: rl = self.relevance if isinstance(rl, float) and int(rl) == rl: rl = int(rl) data['relevance'] = rl if self.has_stored_minimum_coverage and self.minimum_coverage > 0: cv = self.minimum_coverage if isinstance(cv, float) and int(cv) == cv: cv = int(cv) data['minimum_coverage'] = cv if self.referenced_filenames: data['referenced_filenames'] = self.referenced_filenames if self.notes: data['notes'] = self.notes if self.ignorable_copyrights: data['ignorable_copyrights'] = self.ignorable_copyrights if self.ignorable_holders: data['ignorable_holders'] = self.ignorable_holders if self.ignorable_authors: data['ignorable_authors'] = self.ignorable_authors if self.ignorable_urls: data['ignorable_urls'] = self.ignorable_urls if self.ignorable_emails: data['ignorable_emails'] = self.ignorable_emails return data def dump(self): """ Dump a representation of this rule as two files: - a .yml for the rule data in YAML (self.data_file) - a .RULE: the rule text as a UTF-8 file (self.text_file) Does nothing if this rule was created from a License (e.g. `is_license` is True) """ if self.is_license: return def write(location, byte_string): # we write as binary because rules and licenses texts and data are UTF-8-encoded bytes with io.open(location, 'wb') as of: of.write(byte_string) if self.data_file: as_yaml = saneyaml.dump(self.to_dict(), indent=4, encoding='utf-8') write(self.data_file, as_yaml) write(self.text_file, self.text().encode('utf-8')) def load(self): """ Load self from a .RULE YAML file stored in self.data_file. Does not load the rule text file. Unknown fields are ignored and not bound to the Rule object. """ try: with io.open(self.data_file, encoding='utf-8') as f: data = saneyaml.load(f.read()) except Exception as e: print('#############################') print('INVALID LICENSE RULE FILE:', 'file://' + self.data_file) print('#############################') print(e) print('#############################') # this is a rare case, but yes we abruptly stop. raise e known_attributes = set(attr.fields_dict(self.__class__)) data_file_attributes = set(data) unknown_attributes = data_file_attributes.difference(known_attributes) if unknown_attributes: unknown_attributes = ', '.join(sorted(unknown_attributes)) msg = 'License rule {} data file has unknown attributes: {}' raise Exception(msg.format(self, unknown_attributes)) self.license_expression = data.get('license_expression') self.is_negative = data.get('is_negative', False) self.is_false_positive = data.get('is_false_positive', False) if not self.license_expression and not (self.is_negative or self.is_false_positive): msg = 'License rule {} is missing a license_expression.' raise Exception(msg.format(self)) relevance = float(data.get('relevance', 0)) if relevance: if relevance <= 0 or relevance > 100: msg = ('License rule {} data file has an invalid relevance. ' 'Should be above 0 and 100 or less: {}') raise Exception(msg.format(self, repr(relevance))) # Keep track if we have a stored relevance of not. self.relevance = relevance self.has_stored_relevance = True self.minimum_coverage = float(data.get('minimum_coverage', 0)) self._minimum_containment = self.minimum_coverage / 100 if not (0 <= self.minimum_coverage <= 100): msg = ( 'License rule {} data file has an invalid minimum_coverage. ' 'Should be between 0 and 100: {}') raise Exception(msg.format(self, self.minimum_coverage)) self.is_license_text = data.get('is_license_text', False) self.is_license_notice = data.get('is_license_notice', False) self.is_license_tag = data.get('is_license_tag', False) self.is_license_reference = data.get('is_license_reference', False) self.only_known_words = data.get('only_known_words', False) self.referenced_filenames = data.get('referenced_filenames', []) or [] if not isinstance(self.referenced_filenames, list): msg = ( 'License rule {} data file has an invalid referenced_filenames. ' 'Should be a list: {}') raise Exception(msg.format(self, self.referenced_filenames)) # these are purely informational and not used at run time notes = data.get('notes') if notes: self.notes = notes.strip() if not self.notes and (self.is_negative or self.is_false_positive): msg = 'Special License rule {} is missing explanatory notes.' raise Exception(msg.format(self)) self.ignorable_copyrights = data.get('ignorable_copyrights', []) self.ignorable_holders = data.get('ignorable_holders', []) self.ignorable_authors = data.get('ignorable_authors', []) self.ignorable_urls = data.get('ignorable_urls', []) self.ignorable_emails = data.get('ignorable_emails', []) return self def compute_relevance(self): """ Compute and set the `relevance` attribute for this rule. The relevance is a float between 0 and 100 where 100 means highly relevant and 0 means not relevant at all. For instance a match to the "gpl" or the "cpol" words have a fairly low relevance as they are a weak indication of an actual license and could be a false positive and should therefore be assigned a low relevance. In contrast a match to most or all of the apache-2.0 license text is highly relevant. The Rule relevance is used as the basis to compute a match score. The relevance is either pre-defined in the rule YAML data file with the "relevance" attribute or computed base on the rule length here using this approach: - a false positive or a negative rule has a relevance of 100. - a rule of length equal to or larger than a threshold has a 100 relevance - a rule of length smaller than a threshold has a relevance of 100/threshold, rounded down. The current threshold is 18 words. """ if isinstance(self, SpdxRule): self.relevance = 100 return if self.has_stored_relevance: return # case for false positive if self.is_false_positive: self.relevance = 100 return # case for negative rules with no license (and are not an FP) # they do not have licenses and their matches are never returned if self.is_negative: self.relevance = 100 return threshold = 18.0 relevance_of_one_word = round((1 / threshold) * 100, 2) length = self.length if length >= threshold: # general case self.relevance = 100 else: computed = int(length * relevance_of_one_word) self.relevance = min([100, computed]) @property def has_flags(self): """ Return True if this Rule has at least one flag set. """ return (self.is_license_text or self.is_license_notice or self.is_license_reference or self.is_license_tag) def compute_thresholds_occurences(minimum_coverage, length, high_length, _MIN_MATCH_HIGH_LENGTH=MIN_MATCH_HIGH_LENGTH, _MIN_MATCH_LENGTH=MIN_MATCH_LENGTH): """ Compute and return thresholds considering the occurrence of all tokens. """ if minimum_coverage == 100: min_matched_length = length min_high_matched_length = high_length return minimum_coverage, min_matched_length, min_high_matched_length if length < 3: min_high_matched_length = high_length min_matched_length = length minimum_coverage = 100 elif length < 10: min_matched_length = length min_high_matched_length = high_length minimum_coverage = 80 elif length < 30: min_matched_length = length // 2 min_high_matched_length = min(high_length, _MIN_MATCH_HIGH_LENGTH) minimum_coverage = 50 elif length < 200: min_matched_length = _MIN_MATCH_LENGTH min_high_matched_length = min(high_length, _MIN_MATCH_HIGH_LENGTH) # minimum_coverage = max(15, int(length//10)) else: # if length >= 200: min_matched_length = length // 10 min_high_matched_length = high_length // 10 # minimum_coverage = int(length//10) return minimum_coverage, min_matched_length, min_high_matched_length def compute_thresholds_unique(minimum_coverage, length, length_unique, high_length_unique, _MIN_MATCH_HIGH_LENGTH=MIN_MATCH_HIGH_LENGTH, _MIN_MATCH_LENGTH=MIN_MATCH_LENGTH): """ Compute and set thresholds considering the occurrence of only unique tokens. """ if minimum_coverage == 100: min_matched_length_unique = length_unique min_high_matched_length_unique = high_length_unique return min_matched_length_unique, min_high_matched_length_unique if length > 200: min_matched_length_unique = length // 10 min_high_matched_length_unique = high_length_unique // 10 elif length < 5: min_matched_length_unique = length_unique min_high_matched_length_unique = high_length_unique elif length < 10: if length_unique < 2: min_matched_length_unique = length_unique else: min_matched_length_unique = length_unique - 1 min_high_matched_length_unique = high_length_unique elif length < 20: min_matched_length_unique = high_length_unique min_high_matched_length_unique = high_length_unique else: min_matched_length_unique = _MIN_MATCH_LENGTH highu = (int(high_length_unique // 2)) or high_length_unique min_high_matched_length_unique = min(highu, _MIN_MATCH_HIGH_LENGTH) return min_matched_length_unique, min_high_matched_length_unique @attr.s(slots=True, repr=False) class SpdxRule(Rule): """ A specialized rule object that is used for the special case of SPDX license expressions. Since we may have an infinite possible number of SPDX expressions and these are not backed by a traditional rule text file, we use this class to handle the specifics of these how rules that are built at matching time: one rule is created for each detected SPDX license expression. """ def __attrs_post_init__(self, *args, **kwargs): self.identifier = 'spdx-license-identifier: ' + self.license_expression expression = None try: expression = self.licensing.parse(self.license_expression) except: raise Exception( 'Unable to parse License rule expression: ' + repr(self.license_expression) + ' for: SPDX rule:' + self.stored_text + '\n' + traceback.format_exc()) if expression is None: raise Exception( 'Unable to parse License rule expression: ' +repr(self.license_expression) + ' for:' + repr(self.data_file)) self.license_expression = expression.render() self.license_expression_object = expression self.is_license_tag = True self.is_small = False self.relevance =100 self.has_stored_relevance = True def load(self): raise NotImplementedError def dump(self): raise NotImplementedError def _print_rule_stats(): """ Print rules statistics. """ from licensedcode.cache import get_index idx = get_index() rules = idx.rules_by_rid sizes = Counter(r.length for r in rules) print('Top 15 lengths: ', sizes.most_common(15)) print('15 smallest lengths: ', sorted(sizes.items(), key=itemgetter(0))[:15]) high_sizes = Counter(r.high_length for r in rules) print('Top 15 high lengths: ', high_sizes.most_common(15)) print('15 smallest high lengths: ', sorted(high_sizes.items(), key=itemgetter(0))[:15]) def update_ignorables(licensish, verbose=False, dump=True): """ Collect, update and save the ignorable_* attributes of a `licensish` Rule or License object. """ location = licensish.text_file if verbose: print('Processing:', 'file://' + location) if not exists(location): return licensish # collect and set ignorable copyrights, holders and authors from cluecode.copyrights import detect_copyrights copyrights = set() holders = set() authors = set() for dtype, value, _start, _end in detect_copyrights(location): if dtype == 'copyrights': copyrights.add(value) elif dtype == 'holders': holders.add(value) elif dtype == 'authors': authors.add(value) licensish.ignorable_copyrights = sorted(copyrights) licensish.ignorable_holders = sorted(holders) licensish.ignorable_authors = sorted(authors) # collect and set ignrable emails and urls from cluecode.finder import find_urls from cluecode.finder import find_emails urls = set(u for (u, _ln) in find_urls(location) if u) licensish.ignorable_urls = sorted(urls) emails = set(u for (u, _ln) in find_emails(location) if u) licensish.ignorable_emails = sorted(emails) if dump: licensish.dump() return licensish

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from __future__ import absolute_import from __future__ import division from __future__ import print_function from __future__ import unicode_literals from collections import Counter from collections import defaultdict from collections import OrderedDict from functools import partial from itertools import chain import io from operator import itemgetter from os.path import abspath from os.path import dirname from os.path import exists from os.path import join import traceback import attr from license_expression import Licensing from commoncode.fileutils import copyfile from commoncode.fileutils import file_base_name from commoncode.fileutils import file_name from commoncode.fileutils import resource_iter from commoncode import saneyaml from licensedcode import MIN_MATCH_HIGH_LENGTH from licensedcode import MIN_MATCH_LENGTH from licensedcode import SMALL_RULE from licensedcode.tokenize import query_tokenizer from textcode.analysis import numbered_text_lines TRACE_REPR = False data_dir = join(abspath(dirname(__file__)), 'data') licenses_data_dir = join(data_dir, 'licenses') rules_data_dir = join(data_dir, 'rules') FOSS_CATEGORIES = set([ 'Copyleft', 'Copyleft Limited', 'Patent License', 'Permissive', 'Public Domain', ]) OTHER_CATEGORIES = set([ 'Commercial', 'Proprietary Free', 'Free Restricted', 'Source-available', 'Unstated License', ]) CATEGORIES = FOSS_CATEGORIES | OTHER_CATEGORIES @attr.s(slots=True) class License(object): __attrib = partial(attr.ib, repr=False) key = attr.ib(default=None, repr=True) src_dir = __attrib(default=licenses_data_dir) is_deprecated = __attrib(default=False) language = __attrib(default='en') short_name = __attrib(default=None) name = __attrib(default=None) category = __attrib(default=None) owner = __attrib(default=None) homepage_url = __attrib(default=None) notes = __attrib(default=None) is_exception = __attrib(default=False) spdx_license_key = __attrib(default=None) other_spdx_license_keys = __attrib(default=attr.Factory(list)) osi_license_key = __attrib(default=None) text_urls = __attrib(default=attr.Factory(list)) osi_url = __attrib(default=None) faq_url = __attrib(default=None) other_urls = __attrib(default=attr.Factory(list)) key_aliases = __attrib(default=attr.Factory(list)) minimum_coverage = __attrib(default=0) standard_notice = __attrib(default=None) ignorable_copyrights = __attrib(default=attr.Factory(list)) ignorable_authors = __attrib(default=attr.Factory(list)) ignorable_holders = __attrib(default=attr.Factory(list)) ignorable_urls = __attrib(default=attr.Factory(list)) ignorable_emails = __attrib(default=attr.Factory(list)) data_file = __attrib(default=None) text_file = __attrib(default=None) def __attrs_post_init__(self, *args, **kwargs): if self.src_dir: self.set_file_paths() if exists(self.data_file): self.load() def set_file_paths(self): self.data_file = join(self.src_dir, self.key + '.yml') self.text_file = join(self.src_dir, self.key + '.LICENSE') def relocate(self, target_dir, new_key=None): if not target_dir or target_dir == self.src_dir: raise ValueError( 'Cannot relocate {} License to empty directory or same directory.'.format(self.key)) if new_key: key = new_key else: key = self.key newl = License(key, target_dir) excluded_fields = ('key', 'src_dir', 'data_file', 'text_file',) all_fields = attr.fields(self.__class__) attrs = [f.name for f in all_fields if f.name not in excluded_fields] for name in attrs: setattr(newl, name, getattr(self, name)) if self.text: copyfile(self.text_file, newl.text_file) newl.dump() return newl def update(self, mapping): for k, v in mapping.items(): setattr(self, k, v) def __copy__(self): oldl = self.to_dict() newl = License(key=self.key) newl.update(oldl) return newl @property def text(self): return self._read_text(self.text_file) def to_dict(self): def dict_fields(attr, value): if not value: return False if attr.name in ('data_file', 'text_file', 'src_dir',): return False if attr.name == 'language' and value == 'en': return False if attr.name == 'minimum_coverage' and value == 100: return False return True data = attr.asdict(self, filter=dict_fields, dict_factory=OrderedDict) cv = data.get('minimum_coverage') if cv and isinstance(cv, float) and int(cv) == cv: cv = int(cv) data['minimum_coverage'] = cv return data def dump(self): def write(location, byte_string): with io.open(location, 'wb') as of: of.write(byte_string) as_yaml = saneyaml.dump(self.to_dict(), indent=4, encoding='utf-8') write(self.data_file, as_yaml) if self.text: write(self.text_file, self.text.encode('utf-8')) def load(self): try: with io.open(self.data_file, encoding='utf-8') as f: data = saneyaml.load(f.read()) numeric_keys = ('minimum_coverage', 'relevance') for k, v in data.items(): if k in numeric_keys: v = int(v) if k == 'key': assert self.key == v, 'Inconsistent YAML key and file names for %r' % self.key setattr(self, k, v) except Exception as e: print() print('#############################') print('INVALID LICENSE YAML FILE:', 'file://' + self.data_file) print('#############################') print(e) print('#############################') raise def _read_text(self, location): if not exists(location): text = '' else: with io.open(location, encoding='utf-8') as f: text = f.read() return text def spdx_keys(self): if self.spdx_license_key: yield self.spdx_license_key for key in self.other_spdx_license_keys: yield key @staticmethod def validate(licenses, verbose=False, no_dupe_urls=False): infos = defaultdict(list) warnings = defaultdict(list) errors = defaultdict(list) by_spdx_key = defaultdict(list) by_text = defaultdict(list) by_short_name = defaultdict(list) by_name = defaultdict(list) for key, lic in licenses.items(): warn = warnings[key].append info = infos[key].append error = errors[key].append by_name[lic.name].append(lic) by_short_name[lic.short_name].append(lic) if not lic.short_name: error('No short name') if not lic.name: error('No name') if not lic.category: error('No category') if lic.category and lic.category not in CATEGORIES: cats = '\n'.join(sorted(CATEGORIES)) error('Unknown license category: {}.\nUse one of these valid categories:\n{}'.format(lic.category, cats)) if not lic.owner: error('No owner') if no_dupe_urls: if lic.text_urls and not all(lic.text_urls): warn('Some empty text_urls values') if lic.other_urls and not all(lic.other_urls): warn('Some empty other_urls values') if lic.homepage_url: if lic.homepage_url in lic.text_urls: warn('Homepage URL also in text_urls') if lic.homepage_url in lic.other_urls: warn('Homepage URL also in other_urls') if lic.homepage_url == lic.faq_url: warn('Homepage URL same as faq_url') if lic.homepage_url == lic.osi_url: warn('Homepage URL same as osi_url') if lic.osi_url or lic.faq_url: if lic.osi_url == lic.faq_url: warn('osi_url same as faq_url') all_licenses = lic.text_urls + lic.other_urls for url in lic.osi_url, lic.faq_url, lic.homepage_url: if url: all_licenses.append(url) if not len(all_licenses) == len(set(all_licenses)): warn('Some duplicated URLs') text = lic.text license_qtokens = tuple(query_tokenizer(text)) if not license_qtokens: info('No license text') else: by_text[license_qtokens].append(key + ': TEXT') if lic.spdx_license_key: by_spdx_key[lic.spdx_license_key].append(key) for oslk in lic.other_spdx_license_keys: by_spdx_key[oslk].append(key) multiple_spdx_keys_used = {k: v for k, v in by_spdx_key.items() if len(v) > 1} if multiple_spdx_keys_used: for k, lkeys in multiple_spdx_keys_used.items(): errors['GLOBAL'].append('SPDX key: ' + k + ' used in multiple licenses: ' + ', '.join(sorted(lkeys))) multiple_texts = {k: v for k, v in by_text.items() if len(v) > 1} if multiple_texts: for k, msgs in multiple_texts.items(): errors['GLOBAL'].append('Duplicate texts in multiple licenses:' + ', '.join(sorted(msgs))) for short_name, licenses in by_short_name.items(): if len(licenses) == 1: continue errors['GLOBAL'].append('Duplicate short name:' + short_name + ' in licenses:' + ', '.join(l.key for l in licenses)) for name, licenses in by_name.items(): if len(licenses) == 1: continue errors['GLOBAL'].append('Duplicate name:' + name + ' in licenses:' + ', '.join(l.key for l in licenses)) errors = {k: v for k, v in errors.items() if v} warnings = {k: v for k, v in warnings.items() if v} infos = {k: v for k, v in infos.items() if v} if verbose: print('Licenses validation errors:') for key, msgs in sorted(errors.items()): print('ERRORS for:', key, ':', '\n'.join(msgs)) print('Licenses validation warnings:') for key, msgs in sorted(warnings.items()): print('WARNINGS for:', key, ':', '\n'.join(msgs)) print('Licenses validation infos:') for key, msgs in sorted(infos.items()): print('INFOS for:', key, ':', '\n'.join(msgs)) return errors, warnings, infos def ignore_editor_tmp_files(location): return location.endswith('.swp') def load_licenses(licenses_data_dir=licenses_data_dir , with_deprecated=False): licenses = {} used_files = set() all_files = set(resource_iter(licenses_data_dir, ignored=ignore_editor_tmp_files, with_dirs=False)) for data_file in sorted(all_files): if data_file.endswith('.yml'): key = file_base_name(data_file) lic = License(key, licenses_data_dir) used_files.add(data_file) if exists(lic.text_file): used_files.add(lic.text_file) if not with_deprecated and lic.is_deprecated: continue licenses[key] = lic dangling = all_files.difference(used_files) if dangling: msg = 'Some License data or text files are orphaned in "{}".\n'.format(licenses_data_dir) msg += '\n'.join('file://{}'.format(f) for f in sorted(dangling)) raise Exception(msg) return licenses def get_rules(licenses_data_dir=licenses_data_dir, rules_data_dir=rules_data_dir): from licensedcode.cache import get_licenses_db licenses = get_licenses_db(licenses_data_dir=licenses_data_dir) rules = list(load_rules(rules_data_dir=rules_data_dir)) check_rules_integrity(rules, licenses) licenses_as_rules = build_rules_from_licenses(licenses) return chain(licenses_as_rules, rules) class MissingLicenses(Exception): pass class MissingFlags(Exception): pass def check_rules_integrity(rules, licenses_by_key): invalid_rules = defaultdict(set) rules_without_flags = set() for rule in rules: unknown_keys = [key for key in rule.license_keys() if key not in licenses_by_key] if unknown_keys: invalid_rules[rule.data_file].update(unknown_keys) if not rule.has_flags and not (rule.is_negative or rule.is_false_positive): rules_without_flags.add(rule.data_file) if invalid_rules: invalid_rules = ( ' '.join(keys) + '\n' + 'file://' + data_file + '\n' + 'file://' + data_file.replace('.yml', '.RULE') + '\n' for data_file, keys in invalid_rules.items() if keys) msg = 'Rules referencing missing licenses:\n' + '\n'.join(sorted(invalid_rules)) raise MissingLicenses(msg) if rules_without_flags: invalid_rules = ( 'file://' + data_file + '\n' + 'file://' + data_file.replace('.yml', '.RULE') + '\n' for data_file in sorted(rules_without_flags)) msg = 'Rules without is_license_xxx flags:\n' + '\n'.join(sorted(invalid_rules)) raise MissingFlags(msg) def build_rules_from_licenses(licenses): for license_key, license_obj in licenses.items(): text_file = join(license_obj.src_dir, license_obj.text_file) if exists(text_file): minimum_coverage = license_obj.minimum_coverage or 0 yield Rule( text_file=text_file, license_expression=license_key, has_stored_relevance=False, relevance=100, has_stored_minimum_coverage=bool(minimum_coverage), minimum_coverage=minimum_coverage, is_license=True, is_license_text=True, ignorable_copyrights=license_obj.ignorable_copyrights, ignorable_holders=license_obj.ignorable_holders, ignorable_authors=license_obj.ignorable_authors, ignorable_urls=license_obj.ignorable_urls, ignorable_emails=license_obj.ignorable_emails, ) def get_all_spdx_keys(licenses): for lic in licenses.values(): for spdx_key in lic.spdx_keys(): yield spdx_key def get_essential_spdx_tokens(): yield 'spdx' yield 'license' yield 'licence' yield 'identifier' yield 'licenseref' def get_all_spdx_key_tokens(licenses): for tok in get_essential_spdx_tokens(): yield tok for spdx_key in get_all_spdx_keys(licenses): for token in query_tokenizer(spdx_key): yield token def load_rules(rules_data_dir=rules_data_dir): seen_files = set() processed_files = set() lower_case_files = set() case_problems = set() space_problems = [] model_errors = [] for data_file in resource_iter(rules_data_dir, with_dirs=False): if data_file.endswith('.yml'): base_name = file_base_name(data_file) if ' ' in base_name: space_problems.append(data_file) rule_file = join(rules_data_dir, base_name + '.RULE') try: rule = Rule(data_file=data_file, text_file=rule_file) yield rule except Exception as re: model_errors.append(str(re)) data_lower = data_file.lower() if data_lower in lower_case_files: case_problems.add(data_lower) else: lower_case_files.add(data_lower) rule_lower = rule_file.lower() if rule_lower in lower_case_files: case_problems.add(rule_lower) else: lower_case_files.add(rule_lower) processed_files.update([data_file, rule_file]) if not data_file.endswith('~'): seen_files.add(data_file) unknown_files = seen_files - processed_files if unknown_files or case_problems or model_errors or space_problems: msg = '' if model_errors: errors = '\n'.join(model_errors) msg += '\nInvalid rule YAML in directory: %(rules_data_dir)r\n%(errors)s' % locals() if unknown_files: files = '\n'.join(sorted('file://' + f for f in unknown_files)) msg += '\nOrphaned files in rule directory: %(rules_data_dir)r\n%(files)s' % locals() if case_problems: files = '\n'.join(sorted('file://' + f for f in case_problems)) msg += '\nRule files with non-unique name ignoring casein rule directory: %(rules_data_dir)r\n%(files)s' % locals() if space_problems: files = '\n'.join(sorted('"file://' + f + '"' for f in space_problems)) msg += '\nRule files name cannot contain spaces: %(rules_data_dir)r\n%(files)s' % locals() raise Exception(msg) @attr.s(slots=True) class Rule(object): licensing = Licensing() license_expression = attr.ib(default=None) license_expression_object = attr.ib(default=None, repr=False) is_license_text = attr.ib(default=False, repr=False) is_license_notice = attr.ib(default=False, repr=False) is_license_reference = attr.ib(default=False, repr=False) is_license_tag = attr.ib(default=False, repr=False) is_false_positive = attr.ib(default=False, repr=False) is_negative = attr.ib(default=False, repr=False) minimum_coverage = attr.ib(default=0) has_stored_minimum_coverage = attr.ib(default=False, repr=False) _minimum_containment = attr.ib(default=0, repr=False) only_known_words = attr.ib(default=False) relevance = attr.ib(default=100) has_stored_relevance = attr.ib(default=False, repr=False) referenced_filenames = attr.ib(default=attr.Factory(list), repr=False) notes = attr.ib(default=None, repr=False) is_license = attr.ib(default=False, repr=False) ignorable_copyrights = attr.ib(default=attr.Factory(list), repr=False) ignorable_holders = attr.ib(default=attr.Factory(list), repr=False) ignorable_authors = attr.ib(default=attr.Factory(list), repr=False) ignorable_urls = attr.ib(default=attr.Factory(list), repr=False) ignorable_emails = attr.ib(default=attr.Factory(list), repr=False) s_license_notice', 'is_license_reference', 'is_license_tag', 'only_known_words', ) for flag in flags: tag_value = getattr(self, flag, False) if tag_value: data[flag] = tag_value if self.has_stored_relevance and self.relevance: rl = self.relevance if isinstance(rl, float) and int(rl) == rl: rl = int(rl) data['relevance'] = rl if self.has_stored_minimum_coverage and self.minimum_coverage > 0: cv = self.minimum_coverage if isinstance(cv, float) and int(cv) == cv: cv = int(cv) data['minimum_coverage'] = cv if self.referenced_filenames: data['referenced_filenames'] = self.referenced_filenames if self.notes: data['notes'] = self.notes if self.ignorable_copyrights: data['ignorable_copyrights'] = self.ignorable_copyrights if self.ignorable_holders: data['ignorable_holders'] = self.ignorable_holders if self.ignorable_authors: data['ignorable_authors'] = self.ignorable_authors if self.ignorable_urls: data['ignorable_urls'] = self.ignorable_urls if self.ignorable_emails: data['ignorable_emails'] = self.ignorable_emails return data def dump(self): if self.is_license: return def write(location, byte_string): with io.open(location, 'wb') as of: of.write(byte_string) if self.data_file: as_yaml = saneyaml.dump(self.to_dict(), indent=4, encoding='utf-8') write(self.data_file, as_yaml) write(self.text_file, self.text().encode('utf-8')) def load(self): try: with io.open(self.data_file, encoding='utf-8') as f: data = saneyaml.load(f.read()) except Exception as e: print('#############################') print('INVALID LICENSE RULE FILE:', 'file://' + self.data_file) print('#############################') print(e) print('#############################') raise e known_attributes = set(attr.fields_dict(self.__class__)) data_file_attributes = set(data) unknown_attributes = data_file_attributes.difference(known_attributes) if unknown_attributes: unknown_attributes = ', '.join(sorted(unknown_attributes)) msg = 'License rule {} data file has unknown attributes: {}' raise Exception(msg.format(self, unknown_attributes)) self.license_expression = data.get('license_expression') self.is_negative = data.get('is_negative', False) self.is_false_positive = data.get('is_false_positive', False) if not self.license_expression and not (self.is_negative or self.is_false_positive): msg = 'License rule {} is missing a license_expression.' raise Exception(msg.format(self)) relevance = float(data.get('relevance', 0)) if relevance: if relevance <= 0 or relevance > 100: msg = ('License rule {} data file has an invalid relevance. ' 'Should be above 0 and 100 or less: {}') raise Exception(msg.format(self, repr(relevance))) self.relevance = relevance self.has_stored_relevance = True self.minimum_coverage = float(data.get('minimum_coverage', 0)) self._minimum_containment = self.minimum_coverage / 100 if not (0 <= self.minimum_coverage <= 100): msg = ( 'License rule {} data file has an invalid minimum_coverage. ' 'Should be between 0 and 100: {}') raise Exception(msg.format(self, self.minimum_coverage)) self.is_license_text = data.get('is_license_text', False) self.is_license_notice = data.get('is_license_notice', False) self.is_license_tag = data.get('is_license_tag', False) self.is_license_reference = data.get('is_license_reference', False) self.only_known_words = data.get('only_known_words', False) self.referenced_filenames = data.get('referenced_filenames', []) or [] if not isinstance(self.referenced_filenames, list): msg = ( 'License rule {} data file has an invalid referenced_filenames. ' 'Should be a list: {}') raise Exception(msg.format(self, self.referenced_filenames)) notes = data.get('notes') if notes: self.notes = notes.strip() if not self.notes and (self.is_negative or self.is_false_positive): msg = 'Special License rule {} is missing explanatory notes.' raise Exception(msg.format(self)) self.ignorable_copyrights = data.get('ignorable_copyrights', []) self.ignorable_holders = data.get('ignorable_holders', []) self.ignorable_authors = data.get('ignorable_authors', []) self.ignorable_urls = data.get('ignorable_urls', []) self.ignorable_emails = data.get('ignorable_emails', []) return self def compute_relevance(self): if isinstance(self, SpdxRule): self.relevance = 100 return if self.has_stored_relevance: return if self.is_false_positive: self.relevance = 100 return if self.is_negative: self.relevance = 100 return threshold = 18.0 relevance_of_one_word = round((1 / threshold) * 100, 2) length = self.length if length >= threshold: self.relevance = 100 else: computed = int(length * relevance_of_one_word) self.relevance = min([100, computed]) @property def has_flags(self): return (self.is_license_text or self.is_license_notice or self.is_license_reference or self.is_license_tag) def compute_thresholds_occurences(minimum_coverage, length, high_length, _MIN_MATCH_HIGH_LENGTH=MIN_MATCH_HIGH_LENGTH, _MIN_MATCH_LENGTH=MIN_MATCH_LENGTH): if minimum_coverage == 100: min_matched_length = length min_high_matched_length = high_length return minimum_coverage, min_matched_length, min_high_matched_length if length < 3: min_high_matched_length = high_length min_matched_length = length minimum_coverage = 100 elif length < 10: min_matched_length = length min_high_matched_length = high_length minimum_coverage = 80 elif length < 30: min_matched_length = length // 2 min_high_matched_length = min(high_length, _MIN_MATCH_HIGH_LENGTH) minimum_coverage = 50 elif length < 200: min_matched_length = _MIN_MATCH_LENGTH min_high_matched_length = min(high_length, _MIN_MATCH_HIGH_LENGTH) else: min_matched_length = length // 10 min_high_matched_length = high_length // 10 return minimum_coverage, min_matched_length, min_high_matched_length def compute_thresholds_unique(minimum_coverage, length, length_unique, high_length_unique, _MIN_MATCH_HIGH_LENGTH=MIN_MATCH_HIGH_LENGTH, _MIN_MATCH_LENGTH=MIN_MATCH_LENGTH): if minimum_coverage == 100: min_matched_length_unique = length_unique min_high_matched_length_unique = high_length_unique return min_matched_length_unique, min_high_matched_length_unique if length > 200: min_matched_length_unique = length // 10 min_high_matched_length_unique = high_length_unique // 10 elif length < 5: min_matched_length_unique = length_unique min_high_matched_length_unique = high_length_unique elif length < 10: if length_unique < 2: min_matched_length_unique = length_unique else: min_matched_length_unique = length_unique - 1 min_high_matched_length_unique = high_length_unique elif length < 20: min_matched_length_unique = high_length_unique min_high_matched_length_unique = high_length_unique else: min_matched_length_unique = _MIN_MATCH_LENGTH highu = (int(high_length_unique // 2)) or high_length_unique min_high_matched_length_unique = min(highu, _MIN_MATCH_HIGH_LENGTH) return min_matched_length_unique, min_high_matched_length_unique @attr.s(slots=True, repr=False) class SpdxRule(Rule): def __attrs_post_init__(self, *args, **kwargs): self.identifier = 'spdx-license-identifier: ' + self.license_expression expression = None try: expression = self.licensing.parse(self.license_expression) except: raise Exception( 'Unable to parse License rule expression: ' + repr(self.license_expression) + ' for: SPDX rule:' + self.stored_text + '\n' + traceback.format_exc()) if expression is None: raise Exception( 'Unable to parse License rule expression: ' +repr(self.license_expression) + ' for:' + repr(self.data_file)) self.license_expression = expression.render() self.license_expression_object = expression self.is_license_tag = True self.is_small = False self.relevance =100 self.has_stored_relevance = True def load(self): raise NotImplementedError def dump(self): raise NotImplementedError def _print_rule_stats(): from licensedcode.cache import get_index idx = get_index() rules = idx.rules_by_rid sizes = Counter(r.length for r in rules) print('Top 15 lengths: ', sizes.most_common(15)) print('15 smallest lengths: ', sorted(sizes.items(), key=itemgetter(0))[:15]) high_sizes = Counter(r.high_length for r in rules) print('Top 15 high lengths: ', high_sizes.most_common(15)) print('15 smallest high lengths: ', sorted(high_sizes.items(), key=itemgetter(0))[:15]) def update_ignorables(licensish, verbose=False, dump=True): location = licensish.text_file if verbose: print('Processing:', 'file://' + location) if not exists(location): return licensish from cluecode.copyrights import detect_copyrights copyrights = set() holders = set() authors = set() for dtype, value, _start, _end in detect_copyrights(location): if dtype == 'copyrights': copyrights.add(value) elif dtype == 'holders': holders.add(value) elif dtype == 'authors': authors.add(value) licensish.ignorable_copyrights = sorted(copyrights) licensish.ignorable_holders = sorted(holders) licensish.ignorable_authors = sorted(authors) from cluecode.finder import find_urls from cluecode.finder import find_emails urls = set(u for (u, _ln) in find_urls(location) if u) licensish.ignorable_urls = sorted(urls) emails = set(u for (u, _ln) in find_emails(location) if u) licensish.ignorable_emails = sorted(emails) if dump: licensish.dump() return licensish

true

f70da33491ac3a433cbf0d0075a23b55629b38de

4,722

py

Python

OBLib/Model.py

stevenkfirth/OBLib

12ab46ca2c24d28d8ed5b14be0978fb5dacae394

[ "MIT" ]

1

2022-03-28T13:06:00.000Z

OBLib/Model.py

stevenkfirth/OBLib

12ab46ca2c24d28d8ed5b14be0978fb5dacae394

[ "MIT" ]

null

OBLib/Model.py

stevenkfirth/OBLib

12ab46ca2c24d28d8ed5b14be0978fb5dacae394

[ "MIT" ]

null

# -*- coding: utf-8 -*- import pandas as pd class Model(): """Abstract model class. This is the top-level class and should not be used directly. Instead this class is inherited by other more specialised model classes. """ def __init__(self): "" self._inputs=Inputs() def run(self): """Runs the model. This is an abstract method and should be overloaded by subclasses. :returns: The model outputs. :rtype: Outputs """ outputs=Outputs() # timestamps passed from inputs to outputs outputs._timestamps=self._inputs._timestamps # CALCULATIONS HERE return outputs @property def inputs(self): """The model inputs. Access this object to change the model inputs. Read-only property. :rtype: Inputs """ return self._inputs class Inputs(): """Abstract model inputs class. This is the top-level class and should not be used directly. Instead this class is inherited by other more specialised model inputs classes. """ def __init__(self): "" self._timestamps=None def set_timestamps(self, start=None, end=None, *args, **kwargs): """Convenience method to set the `timestamps` property. :param start: The start timestamp (optional) :type start: tuple :param end: The end timestamp (optional) :type end: tuple The remaining input arguments here are passed to the `pandas.date_range` method. See the pandas documentation for details. Typcial inputs might be: * start=(2021,1,1,0,0) (i.e. 1st January 2021) * freq='H' (for hourly intervals) * periods=24 (to generate 1 day of hourly intervals) :rtype: pandas.DatetimeIndex """ if not start is None: start=pd.Timestamp(*start) if not end is None: end=pd.Timestamp(*end) self._timestamps=pd.date_range(start=start, end=end, *args, **kwargs) return self._timestamps @property def timestamps(self): """The input timestamps. Model predictions will be made for each timestamp. Read / write property. :rtype: pandas.DatetimeIndex """ return self._timestamps @timestamps.setter def timestamps(self,value): "" self._timestamps=value class Outputs(): """Abstract model outputs class. This is the top-level class and should not be used directly. Instead this class is inherited by other more specialised model outputs classes. """ def __init__(self): """ """ self._timestamps=None # ->pd.DatetimeIndex self._data={} # key -> data name; value-> np.array etc. def __repr__(self): "" return ("%s" % self.__class__.__name__ + "(" + "timestamps=%s" % self.timestamps + ", " + "data=%s" % self.data + ")" ) @property def timestamps(self): """The outputs timestamps. Read-only property. :rtype: pandas.DatetimeIndex """ return self._timestamps @property def data(self): """The model predictions. Read-only property. :returns: A dictionary of the model results. Key-value pairs are: keys -> the name of the quantity or variable; values -> a list of the model predictions (this list aligns with the output timestamps). :rtype: dict """ return self._data @property def df(self): """A Pandas dataframe of the timestamps and data. Read-only property. :returns: A dataframe with: index -> timestamps; columns -> 'data' keys; values -> `data` values. :rtype: pandas.DataFrame """ return pd.DataFrame(index=self.timestamps, data=self.data)

24.466321

89

0.498306

import pandas as pd class Model(): def __init__(self): self._inputs=Inputs() def run(self): outputs=Outputs() outputs._timestamps=self._inputs._timestamps return outputs @property def inputs(self): return self._inputs class Inputs(): def __init__(self): self._timestamps=None def set_timestamps(self, start=None, end=None, *args, **kwargs): if not start is None: start=pd.Timestamp(*start) if not end is None: end=pd.Timestamp(*end) self._timestamps=pd.date_range(start=start, end=end, *args, **kwargs) return self._timestamps @property def timestamps(self): return self._timestamps @timestamps.setter def timestamps(self,value): self._timestamps=value class Outputs(): def __init__(self): self._timestamps=None self._data={} def __repr__(self): return ("%s" % self.__class__.__name__ + "(" + "timestamps=%s" % self.timestamps + ", " + "data=%s" % self.data + ")" ) @property def timestamps(self): return self._timestamps @property def data(self): return self._data @property def df(self): return pd.DataFrame(index=self.timestamps, data=self.data)

true

f70da3d54ecbd05f1e5054b3cc945d5b62ae323c

4,133

py

Python

homeassistant/components/alarm_control_panel/__init__.py

instantchow/home-assistant

6797365d4fd74328a0c9e961f652cfb37f48bc7d

[ "MIT" ]

null

homeassistant/components/alarm_control_panel/__init__.py

instantchow/home-assistant

6797365d4fd74328a0c9e961f652cfb37f48bc7d

[ "MIT" ]

null

homeassistant/components/alarm_control_panel/__init__.py

instantchow/home-assistant

6797365d4fd74328a0c9e961f652cfb37f48bc7d

[ "MIT" ]

null

""" Component to interface with an alarm control panel. For more details about this platform, please refer to the documentation at https://home-assistant.io/components/alarm_control_panel/ """ import logging import os from homeassistant.components import verisure from homeassistant.const import ( ATTR_CODE, ATTR_CODE_FORMAT, ATTR_ENTITY_ID, SERVICE_ALARM_TRIGGER, SERVICE_ALARM_DISARM, SERVICE_ALARM_ARM_HOME, SERVICE_ALARM_ARM_AWAY) from homeassistant.config import load_yaml_config_file from homeassistant.helpers.entity import Entity from homeassistant.helpers.entity_component import EntityComponent DOMAIN = 'alarm_control_panel' SCAN_INTERVAL = 30 ENTITY_ID_FORMAT = DOMAIN + '.{}' # Maps discovered services to their platforms DISCOVERY_PLATFORMS = { verisure.DISCOVER_ALARMS: 'verisure' } SERVICE_TO_METHOD = { SERVICE_ALARM_DISARM: 'alarm_disarm', SERVICE_ALARM_ARM_HOME: 'alarm_arm_home', SERVICE_ALARM_ARM_AWAY: 'alarm_arm_away', SERVICE_ALARM_TRIGGER: 'alarm_trigger' } ATTR_TO_PROPERTY = [ ATTR_CODE, ATTR_CODE_FORMAT ] def setup(hass, config): """Track states and offer events for sensors.""" component = EntityComponent( logging.getLogger(__name__), DOMAIN, hass, SCAN_INTERVAL, DISCOVERY_PLATFORMS) component.setup(config) def alarm_service_handler(service): """Map services to methods on Alarm.""" target_alarms = component.extract_from_service(service) if ATTR_CODE not in service.data: code = None else: code = service.data[ATTR_CODE] method = SERVICE_TO_METHOD[service.service] for alarm in target_alarms: getattr(alarm, method)(code) if alarm.should_poll: alarm.update_ha_state(True) descriptions = load_yaml_config_file( os.path.join(os.path.dirname(__file__), 'services.yaml')) for service in SERVICE_TO_METHOD: hass.services.register(DOMAIN, service, alarm_service_handler, descriptions.get(service)) return True def alarm_disarm(hass, code=None, entity_id=None): """Send the alarm the command for disarm.""" data = {} if code: data[ATTR_CODE] = code if entity_id: data[ATTR_ENTITY_ID] = entity_id hass.services.call(DOMAIN, SERVICE_ALARM_DISARM, data) def alarm_arm_home(hass, code=None, entity_id=None): """Send the alarm the command for arm home.""" data = {} if code: data[ATTR_CODE] = code if entity_id: data[ATTR_ENTITY_ID] = entity_id hass.services.call(DOMAIN, SERVICE_ALARM_ARM_HOME, data) def alarm_arm_away(hass, code=None, entity_id=None): """Send the alarm the command for arm away.""" data = {} if code: data[ATTR_CODE] = code if entity_id: data[ATTR_ENTITY_ID] = entity_id hass.services.call(DOMAIN, SERVICE_ALARM_ARM_AWAY, data) def alarm_trigger(hass, code=None, entity_id=None): """Send the alarm the command for trigger.""" data = {} if code: data[ATTR_CODE] = code if entity_id: data[ATTR_ENTITY_ID] = entity_id hass.services.call(DOMAIN, SERVICE_ALARM_TRIGGER, data) # pylint: disable=no-self-use class AlarmControlPanel(Entity): """An abstract class for alarm control devices.""" @property def code_format(self): """Regex for code format or None if no code is required.""" return None def alarm_disarm(self, code=None): """Send disarm command.""" raise NotImplementedError() def alarm_arm_home(self, code=None): """Send arm home command.""" raise NotImplementedError() def alarm_arm_away(self, code=None): """Send arm away command.""" raise NotImplementedError() def alarm_trigger(self, code=None): """Send alarm trigger command.""" raise NotImplementedError() @property def state_attributes(self): """Return the state attributes.""" state_attr = { ATTR_CODE_FORMAT: self.code_format, } return state_attr

27.370861

74

0.681829

import logging import os from homeassistant.components import verisure from homeassistant.const import ( ATTR_CODE, ATTR_CODE_FORMAT, ATTR_ENTITY_ID, SERVICE_ALARM_TRIGGER, SERVICE_ALARM_DISARM, SERVICE_ALARM_ARM_HOME, SERVICE_ALARM_ARM_AWAY) from homeassistant.config import load_yaml_config_file from homeassistant.helpers.entity import Entity from homeassistant.helpers.entity_component import EntityComponent DOMAIN = 'alarm_control_panel' SCAN_INTERVAL = 30 ENTITY_ID_FORMAT = DOMAIN + '.{}' DISCOVERY_PLATFORMS = { verisure.DISCOVER_ALARMS: 'verisure' } SERVICE_TO_METHOD = { SERVICE_ALARM_DISARM: 'alarm_disarm', SERVICE_ALARM_ARM_HOME: 'alarm_arm_home', SERVICE_ALARM_ARM_AWAY: 'alarm_arm_away', SERVICE_ALARM_TRIGGER: 'alarm_trigger' } ATTR_TO_PROPERTY = [ ATTR_CODE, ATTR_CODE_FORMAT ] def setup(hass, config): component = EntityComponent( logging.getLogger(__name__), DOMAIN, hass, SCAN_INTERVAL, DISCOVERY_PLATFORMS) component.setup(config) def alarm_service_handler(service): target_alarms = component.extract_from_service(service) if ATTR_CODE not in service.data: code = None else: code = service.data[ATTR_CODE] method = SERVICE_TO_METHOD[service.service] for alarm in target_alarms: getattr(alarm, method)(code) if alarm.should_poll: alarm.update_ha_state(True) descriptions = load_yaml_config_file( os.path.join(os.path.dirname(__file__), 'services.yaml')) for service in SERVICE_TO_METHOD: hass.services.register(DOMAIN, service, alarm_service_handler, descriptions.get(service)) return True def alarm_disarm(hass, code=None, entity_id=None): data = {} if code: data[ATTR_CODE] = code if entity_id: data[ATTR_ENTITY_ID] = entity_id hass.services.call(DOMAIN, SERVICE_ALARM_DISARM, data) def alarm_arm_home(hass, code=None, entity_id=None): data = {} if code: data[ATTR_CODE] = code if entity_id: data[ATTR_ENTITY_ID] = entity_id hass.services.call(DOMAIN, SERVICE_ALARM_ARM_HOME, data) def alarm_arm_away(hass, code=None, entity_id=None): data = {} if code: data[ATTR_CODE] = code if entity_id: data[ATTR_ENTITY_ID] = entity_id hass.services.call(DOMAIN, SERVICE_ALARM_ARM_AWAY, data) def alarm_trigger(hass, code=None, entity_id=None): data = {} if code: data[ATTR_CODE] = code if entity_id: data[ATTR_ENTITY_ID] = entity_id hass.services.call(DOMAIN, SERVICE_ALARM_TRIGGER, data) class AlarmControlPanel(Entity): @property def code_format(self): return None def alarm_disarm(self, code=None): raise NotImplementedError() def alarm_arm_home(self, code=None): raise NotImplementedError() def alarm_arm_away(self, code=None): raise NotImplementedError() def alarm_trigger(self, code=None): raise NotImplementedError() @property def state_attributes(self): state_attr = { ATTR_CODE_FORMAT: self.code_format, } return state_attr

true

f70da40a6cff9b86074093df34904d86d9ac8793

3,570

py

Python

sample/sample_advection.py

ZoneTsuyoshi/pyassim

1b40ce914a7b1e4ec6e240a6d67a19a22e431137

[ "MIT" ]

null

sample/sample_advection.py

ZoneTsuyoshi/pyassim

1b40ce914a7b1e4ec6e240a6d67a19a22e431137

[ "MIT" ]

null

sample/sample_advection.py

ZoneTsuyoshi/pyassim

1b40ce914a7b1e4ec6e240a6d67a19a22e431137

[ "MIT" ]

null

""" sample code for LLOCK, SLOCK, LSLOCK application the method to advection model (periodic boundary condition) """ import os, sys import numpy as np import matplotlib.pyplot as plt import seaborn as sns sys.path.append("..") from pyassim import KalmanFilter, LocalLOCK, SpatiallyUniformLOCK, LSLOCK,\ PeriodicAdvection, EulerScheme def main(): result_dir = "figures/advection" if not os.path.exists(result_dir): os.mkdir(result_dir) seed = 121 np.random.seed(seed) # parameters N = 20 x0 = np.exp(-(np.arange(N)-N//2)**2/20) dt = 0.01 dx = 1 c = 1 sys_sd = 0.001 obs_sd = 0.1 timestep = 10000 ds = 100 # generate data model = PeriodicAdvection(dx, c, dt, scheme="LW") scheme = EulerScheme(dt, timestep, model, seed=seed) true, obs = scheme.noise_added_simulation(x0, sys_sd, obs_sd) # setup matrices # adjacency matrix A = np.eye(N) A[np.arange(N-1), np.arange(1,N)] = 2 A[np.arange(1,N), np.arange(N-1)] = 3 A[0,-1] = 3 A[-1,0] = 2 # A[np.arange(N-2), np.arange(2,N)] = True # A[np.arange(2,N), np.arange(N-2)] = True # A[0,-2] = A[-2,0] = A[1,-1] = A[-1,1] = True # initial transition matrix F = np.eye(N) H = np.eye(N) # covariance Q = obs_sd**2 * np.eye(N) R = obs_sd**2 * np.eye(N) V0 = obs_sd**2 * np.eye(N) # execution kf = KalmanFilter(obs[::ds], x0, V0, F, H, Q, R, em_vars=["transition_matrices"]) kf.em(n_iter=10) kf.forward() llock = LocalLOCK(obs[::ds], x0, V0, F, H, Q, R, A.astype(bool), method="elementwise", estimation_length=20, estimation_interval=5, eta=1.0, cutoff=10, estimation_mode="forward") llock.forward() slock = SpatiallyUniformLOCK(obs[::ds], x0, V0, F, H, Q, R, np.zeros(N), A, estimation_length=1, estimation_interval=1, eta=1., cutoff=10., estimation_mode="forward") slock.forward() lslock = LSLOCK(obs[::ds], x0, V0, F, H, Q, R, A, method="gridwise", estimation_length=10, estimation_interval=5, eta=1., cutoff=10., estimation_mode="forward") lslock.forward() # draw results dim=0 plt.figure(figsize=(8,5)) plt.scatter(np.arange(timestep//ds), obs[::ds,dim], label="obs", c="k") plt.plot(true[::ds,dim], label="true", c="cyan", ls="--") plt.plot(kf.get_filtered_value(dim), label="kf w/ EM") plt.plot(llock.get_filtered_value(dim), label="llock") plt.plot(slock.get_filtered_value(dim), label="slock") plt.plot(lslock.get_filtered_value(dim), label="lslock") plt.legend() plt.savefig(os.path.join(result_dir, "dim{}_estimated.pdf".format(dim)), bbox_inches="tight") fig, ax = plt.subplots(2,2,figsize=(10,10)) vmin, vmax = obs.min(), obs.max() sns.heatmap(true[::ds], cmap="Blues", vmin=vmin, vmax=vmax, ax=ax[0,0]) sns.heatmap(llock.get_filtered_value(), cmap="Blues", vmin=vmin, vmax=vmax, ax=ax[0,1]) sns.heatmap(slock.get_filtered_value(), cmap="Blues", vmin=vmin, vmax=vmax, ax=ax[1,0]) sns.heatmap(lslock.get_filtered_value(), cmap="Blues", vmin=vmin, vmax=vmax, ax=ax[1,1]) ax[0,0].set_title("True") ax[0,1].set_title("LLOCK") ax[1,0].set_title("SLOCK") ax[1,1].set_title("LSLOCK") for i in range(2): for j in range(2): ax[i,j].set_xlabel("space") ax[i,j].set_ylabel("timestep") fig.savefig(os.path.join(result_dir, "estimated.pdf")) if __name__ == "__main__": main()

31.875

97

0.604482

import os, sys import numpy as np import matplotlib.pyplot as plt import seaborn as sns sys.path.append("..") from pyassim import KalmanFilter, LocalLOCK, SpatiallyUniformLOCK, LSLOCK,\ PeriodicAdvection, EulerScheme def main(): result_dir = "figures/advection" if not os.path.exists(result_dir): os.mkdir(result_dir) seed = 121 np.random.seed(seed) N = 20 x0 = np.exp(-(np.arange(N)-N//2)**2/20) dt = 0.01 dx = 1 c = 1 sys_sd = 0.001 obs_sd = 0.1 timestep = 10000 ds = 100 model = PeriodicAdvection(dx, c, dt, scheme="LW") scheme = EulerScheme(dt, timestep, model, seed=seed) true, obs = scheme.noise_added_simulation(x0, sys_sd, obs_sd) A = np.eye(N) A[np.arange(N-1), np.arange(1,N)] = 2 A[np.arange(1,N), np.arange(N-1)] = 3 A[0,-1] = 3 A[-1,0] = 2 F = np.eye(N) H = np.eye(N) Q = obs_sd**2 * np.eye(N) R = obs_sd**2 * np.eye(N) V0 = obs_sd**2 * np.eye(N) kf = KalmanFilter(obs[::ds], x0, V0, F, H, Q, R, em_vars=["transition_matrices"]) kf.em(n_iter=10) kf.forward() llock = LocalLOCK(obs[::ds], x0, V0, F, H, Q, R, A.astype(bool), method="elementwise", estimation_length=20, estimation_interval=5, eta=1.0, cutoff=10, estimation_mode="forward") llock.forward() slock = SpatiallyUniformLOCK(obs[::ds], x0, V0, F, H, Q, R, np.zeros(N), A, estimation_length=1, estimation_interval=1, eta=1., cutoff=10., estimation_mode="forward") slock.forward() lslock = LSLOCK(obs[::ds], x0, V0, F, H, Q, R, A, method="gridwise", estimation_length=10, estimation_interval=5, eta=1., cutoff=10., estimation_mode="forward") lslock.forward() dim=0 plt.figure(figsize=(8,5)) plt.scatter(np.arange(timestep//ds), obs[::ds,dim], label="obs", c="k") plt.plot(true[::ds,dim], label="true", c="cyan", ls="--") plt.plot(kf.get_filtered_value(dim), label="kf w/ EM") plt.plot(llock.get_filtered_value(dim), label="llock") plt.plot(slock.get_filtered_value(dim), label="slock") plt.plot(lslock.get_filtered_value(dim), label="lslock") plt.legend() plt.savefig(os.path.join(result_dir, "dim{}_estimated.pdf".format(dim)), bbox_inches="tight") fig, ax = plt.subplots(2,2,figsize=(10,10)) vmin, vmax = obs.min(), obs.max() sns.heatmap(true[::ds], cmap="Blues", vmin=vmin, vmax=vmax, ax=ax[0,0]) sns.heatmap(llock.get_filtered_value(), cmap="Blues", vmin=vmin, vmax=vmax, ax=ax[0,1]) sns.heatmap(slock.get_filtered_value(), cmap="Blues", vmin=vmin, vmax=vmax, ax=ax[1,0]) sns.heatmap(lslock.get_filtered_value(), cmap="Blues", vmin=vmin, vmax=vmax, ax=ax[1,1]) ax[0,0].set_title("True") ax[0,1].set_title("LLOCK") ax[1,0].set_title("SLOCK") ax[1,1].set_title("LSLOCK") for i in range(2): for j in range(2): ax[i,j].set_xlabel("space") ax[i,j].set_ylabel("timestep") fig.savefig(os.path.join(result_dir, "estimated.pdf")) if __name__ == "__main__": main()

true

f70da43a235cc40f7aed50d280517caead9baa9c

1,104

py

Python

metric.py

jdgwartney/sdk

2a3b57b572ba5e8ad3a61b1d3da0ab328d3981fe

[ "Apache-2.0" ]

null

metric.py

jdgwartney/sdk

2a3b57b572ba5e8ad3a61b1d3da0ab328d3981fe

[ "Apache-2.0" ]

null

metric.py

jdgwartney/sdk

2a3b57b572ba5e8ad3a61b1d3da0ab328d3981fe

[ "Apache-2.0" ]

null

#!/usr/bin/env python # Copyright 2014 Boundary, Inc. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. class Metric: def __init__(self): pass def setSource(self,source): self.source = source def getSource(self): return self.source def setName(self, name): self.name = name def getName(self): return self.name def setValue(self, value): self.value = value def getValue(self): return self.value def __str__(self): return "{} {} {}".format(self.name,self.value,self.source)

26.926829

74

0.661232

class Metric: def __init__(self): pass def setSource(self,source): self.source = source def getSource(self): return self.source def setName(self, name): self.name = name def getName(self): return self.name def setValue(self, value): self.value = value def getValue(self): return self.value def __str__(self): return "{} {} {}".format(self.name,self.value,self.source)

true

f70da53b99db345a63b3ea4cccc150aeb279c10a

38,891

py

Python

ostep-homework/file-raid/raid-graphics.py

lalitsom/ostep

8c83806a274a5596281b8c7eb142d9a68137f8fb

[ "Apache-2.0" ]

null

ostep-homework/file-raid/raid-graphics.py

lalitsom/ostep

8c83806a274a5596281b8c7eb142d9a68137f8fb

[ "Apache-2.0" ]

null

ostep-homework/file-raid/raid-graphics.py

lalitsom/ostep

8c83806a274a5596281b8c7eb142d9a68137f8fb

[ "Apache-2.0" ]

null

#! /usr/bin/env python from Tkinter import * from types import * import math, random, time, sys, os from optparse import OptionParser # states that a request/disk go through STATE_NULL = 0 STATE_SEEK = 1 STATE_XFER = 2 STATE_DONE = 3 # request states REQ_NOT_STARTED = 0 REQ_DO_READ = 1 REQ_DO_WRITE = 2 # used by parity requests REQ_PARITY_READ_PHASE_DONE = 4 REQ_PARITY_WRITE_PHASE_BEGIN = 5 # all requests end in DONE state REQ_DONE = 10 # whether req is read or write OP_READ = 1 OP_WRITE = 2 class Request: def __init__(self, logical_address, op_type): self.logical_address = logical_address assert(op_type == OP_WRITE or op_type == OP_READ) self.op_type = op_type self.disk_to_index_map = {} self.full_stripe_write = False self.full_stripe_write_parity = False self.start_time = -1 return def MarkFullStripeWrite(self, parity=False): self.full_stripe_write = True self.full_stripe_write_parity = parity return def FullStripeWriteStatus(self): return (self.full_stripe_write, self.full_stripe_write_parity) def GetType(self): return self.op_type def GetLogicalAddress(self): return self.logical_address def GetStatus(self, index): return self.status[index] def GetStatusByDisk(self, disk): index = self.disk_to_index_map[disk] return self.status[index] def SetStatus(self, index, status): # print 'STATUS', self.phys_disk_list[index], self.PrintableStatus(status) self.status[index] = status def SetPhysicalAddress(self, disk_list, offset): self.phys_disk_list = disk_list cnt = 0 for disk in self.phys_disk_list: self.disk_to_index_map[disk] = cnt cnt += 1 self.phys_offset = offset self.status = [] for disk in self.phys_disk_list: self.status.append(REQ_NOT_STARTED) return def PrintableStatus(self, status): if status == REQ_NOT_STARTED: return 'REQ_NOT_STARTED' if status == REQ_DO_WRITE: return 'REQ_DO_WRITE' if status == REQ_DO_READ: return 'REQ_DO_READ' if status == REQ_DONE: return 'REQ_DONE' if status == REQ_PARITY_READ_PHASE_DONE: return 'REQ_PARITY_READ_PHASE_DONE' if status == REQ_PARITY_WRITE_PHASE_BEGIN: return 'REQ_PARITY_WRITE_PHASE_BEGIN' print 'BAD STATUS', status exit(1) return def MarkStart(self, timer): if self.start_time == -1: self.start_time = timer return def RequestLevel0Done(self, disk, timer): index = self.disk_to_index_map[disk] if self.status[index] == REQ_DO_READ or self.status[index] == REQ_DO_WRITE: self.status[index] = REQ_DONE return (True, timer - self.start_time) def RequestLevel1Done(self, disk, timer): index = self.disk_to_index_map[disk] if self.status[index] == REQ_DO_READ: self.status[index] = REQ_DONE return (True, timer - self.start_time) # this is for WRITES (only done when BOTH writes are done) assert(self.status[index] == REQ_DO_WRITE) self.status[index] = REQ_DONE if self.status[1-index] == REQ_DONE: return (True, timer - self.start_time) return (False, -1) # this is for RAID4 right now def RequestLevel4Done(self, disk, timer): index = self.disk_to_index_map[disk] # print 'Done', self.PrintableStatus(self.status[index]) if self.op_type == OP_READ: return (True, timer - self.start_time) # this is for WRITES (which have two phases) if self.status[index] == REQ_DO_READ: self.status[index] = REQ_PARITY_READ_PHASE_DONE elif self.status[index] == REQ_DO_WRITE: self.status[index] = REQ_DONE if self.status[index] == REQ_PARITY_READ_PHASE_DONE and self.status[1-index] == REQ_PARITY_READ_PHASE_DONE: self.status[0] = REQ_PARITY_WRITE_PHASE_BEGIN self.status[1] = REQ_PARITY_WRITE_PHASE_BEGIN if self.status[index] == REQ_DONE and self.status[1-index] == REQ_DONE: return (True, timer - self.start_time) return (False, -1) def GetPhysicalOffset(self): return self.phys_offset def GetPhysicalDiskList(self): return self.phys_disk_list class Raid: def __init__(self, mapping, addr_desc, addr, disk_count, seek_speed, seed, balance, read_fraction, window, animate_delay): self.mapping = mapping self.disk_count = disk_count self.seek_speed = seek_speed self.addr_desc = addr_desc self.balance = balance self.addr = addr self.read_fraction = read_fraction self.window = window self.animate_delay = animate_delay random.seed(seed) self.root = Tk() self.canvas = Canvas(self.root, width=560, height=530) self.canvas.pack() # make the disks disk_width = 100 self.head_width = 10 self.head_height = 20 # now distribute blocks - assume striping first self.block_offset = {} # maps for scheduling self.offset_to_ypos = {} # maps for coloring blocks of the "disk" self.disk_and_offset_to_rect_id = {} self.color_map = {} if self.mapping == 0: # CREATE STRIPED CONFIGURATION self.block_count = 80 for i in range(self.block_count): disk = i % self.disk_count offset = i / self.disk_count rect_x = 40 + ((20 + disk_width) * disk) rect_y = (20 * offset) + 100 self.color_map[(disk, offset)] = 'gray' rect_id = self.canvas.create_rectangle(rect_x, rect_y, rect_x+disk_width, rect_y+20, fill='gray', outline='black') text_id = self.canvas.create_text(rect_x + disk_width - disk_width/2.0, rect_y+10, text='%s' % i, anchor='c') self.block_offset[i] = rect_y self.offset_to_ypos[offset] = rect_y self.disk_and_offset_to_rect_id[(disk, offset)] = rect_id elif self.mapping == 1: # CREATE MIRRORED CONFIGURATION self.block_count = 40 effective_disks = self.disk_count / 2 assert(self.disk_count % 2 == 0) for i in range(self.block_count): INDEX = i % effective_disks disk_1 = INDEX * 2 disk_2 = disk_1 + 1 offset = i / effective_disks rect_y = (20 * offset) + 100 rect_x = 40 + ((20 + disk_width) * disk_1) self.color_map[(disk_1, offset)] = 'gray' rect_id_1 = self.canvas.create_rectangle(rect_x, rect_y, rect_x+disk_width, rect_y+20, fill='gray', outline='black') text_id_1 = self.canvas.create_text(rect_x + disk_width - disk_width/2.0, rect_y+10, text='%s' % i, anchor='c') rect_x = 40 + ((20 + disk_width) * disk_2) self.color_map[(disk_2, offset)] = 'gray' rect_id_2 = self.canvas.create_rectangle(rect_x, rect_y, rect_x+disk_width, rect_y+20, fill='gray', outline='black') text_id_2 = self.canvas.create_text(rect_x + disk_width - disk_width/2.0, rect_y+10, text='%s' % i, anchor='c') self.block_offset[i] = rect_y self.offset_to_ypos[offset] = rect_y self.disk_and_offset_to_rect_id[(disk_1, offset)] = rect_id_1 self.disk_and_offset_to_rect_id[(disk_2, offset)] = rect_id_2 elif self.mapping == 4: # CREATE SIMPLE PARITY CONFIGURATION self.block_count_full = 80 self.block_count = 60 for i in range(self.block_count): disk = i % (self.disk_count-1) offset = i / (self.disk_count-1) rect_x = 40 + ((20 + disk_width) * disk) rect_y = (20 * offset) + 100 self.color_map[(disk, offset)] = 'lightgray' rect_id = self.canvas.create_rectangle(rect_x, rect_y, rect_x+disk_width, rect_y+20, fill='lightgray', outline='black') text_id = self.canvas.create_text(rect_x + disk_width - disk_width/2.0, rect_y+10, text='%s' % i, anchor='c') self.block_offset[i] = rect_y self.offset_to_ypos[offset] = rect_y self.disk_and_offset_to_rect_id[(disk, offset)] = rect_id # now make parity blocks for i in range(self.block_count_full/self.disk_count): disk = 3 offset = i rect_x = 40 + ((20 + disk_width) * disk) rect_y = (20 * offset) + 100 self.color_map[(disk, offset)] = 'darkgray' rect_id = self.canvas.create_rectangle(rect_x, rect_y, rect_x+disk_width, rect_y+20, fill='darkgray', outline='black') text_id = self.canvas.create_text(rect_x + disk_width - disk_width/2.0, rect_y+10, text='P%s' % i, anchor='c') self.block_offset['p' + str(i)] = rect_y self.offset_to_ypos[offset] = rect_y self.disk_and_offset_to_rect_id[(disk, offset)] = rect_id elif self.mapping == 5: # CREATE RAID-5 config self.block_count_full = 80 self.block_count = 60 for i in range(self.block_count): offset = i / (self.disk_count-1) if offset % 4 == 0: disk = i % (self.disk_count-1) elif offset % 4 == 1: disk = i % (self.disk_count-1) if disk >= 2: disk += 1 elif offset % 4 == 2: disk = i % (self.disk_count-1) if disk >= 1: disk += 1 elif offset % 4 == 3: disk = i % (self.disk_count-1) disk += 1 rect_x = 40 + ((20 + disk_width) * disk) rect_y = (20 * offset) + 100 self.color_map[(disk, offset)] = 'gray' rect_id = self.canvas.create_rectangle(rect_x, rect_y, rect_x+disk_width, rect_y+20, fill='gray', outline='black') text_id = self.canvas.create_text(rect_x + disk_width - disk_width/2.0, rect_y+10, text='%s' % i, anchor='c') self.block_offset[i] = rect_y self.offset_to_ypos[offset] = rect_y self.disk_and_offset_to_rect_id[(disk, offset)] = rect_id # now make parity blocks for i in range(self.block_count_full/self.disk_count): offset = i if offset % 4 == 0: disk = 3 elif offset % 4 == 1: disk = 2 elif offset % 4 == 2: disk = 1 elif offset % 4 == 3: disk = 0 rect_x = 40 + ((20 + disk_width) * disk) rect_y = (20 * offset) + 100 self.color_map[(disk, offset)] = 'darkgray' rect_id = self.canvas.create_rectangle(rect_x, rect_y, rect_x+disk_width, rect_y+20, fill='darkgray', outline='black') text_id = self.canvas.create_text(rect_x + disk_width - disk_width/2.0, rect_y+10, text='P%s' % i, anchor='c') self.block_offset['p' + str(i)] = rect_y self.offset_to_ypos[offset] = rect_y self.disk_and_offset_to_rect_id[(disk, offset)] = rect_id else: print 'mapping', self.mapping, 'not supported' exit(1) # now draw "disk heads" self.head_ids = {} self.head_position = {} self.disk_state = {} for disk in range(self.disk_count): rect_x = 40 - self.head_width + ((20 + disk_width) * disk) rect_y = 100 head_id = self.canvas.create_rectangle(rect_x, rect_y, rect_x+self.head_width, rect_y+self.head_height, fill='black', outline='black') self.head_ids[disk] = head_id self.head_position[disk] = {'x1':rect_x, 'y1':rect_y, 'x2':rect_x+self.head_width, 'y2':rect_y+self.head_height} self.disk_state[disk] = STATE_NULL # seek targets self.last_target = {} self.current_target = {} self.current_optype = {} self.seek_delta = {} for disk in range(self.disk_count): self.last_target[disk] = -1 self.current_target[disk] = -1 self.current_optype[disk] = -1 self.seek_delta[disk] = 0 self.transfer_count = {} self.rotate_count = {} for disk in range(self.disk_count): self.transfer_count[disk] = -1 self.rotate_count[disk] = -1 # initial requests self.request_queue = {} self.request_count = 0 effective_disk_count = 4 if self.mapping == 4: effective_disk_count = 3 if self.addr == '': # use 'addr_desc' (num to generate, max, min) to generate these tmp = self.addr_desc.split(',') num = int(tmp[0]) req_max = int(tmp[1]) if req_max == -1: req_max = self.block_count req_min = int(tmp[2]) if self.balance: disk_min = num / effective_disk_count if req_min >= req_max: print 'bad addr_desc: min should be lower than max', req_min, req_max exit(1) target_disk = 0 for i in range(num): while True: req = int(random.random() * req_max) if req % effective_disk_count != target_disk: continue target_disk += 1 if target_disk == effective_disk_count: target_disk = 0 # print target_disk if req >= req_min: if random.random() < read_fraction: self.request_queue[i] = Request(req, OP_READ) else: self.request_queue[i] = Request(req, OP_WRITE) break else: # HAND-PASSED IN addresses # argument: comma-separated list of numbers tmp = self.addr.split(',') for i in range(len(tmp)): if tmp[i][0] == 'r': self.request_queue[i] = Request(int(tmp[i].replace('r','')), OP_READ) elif tmp[i][0] == 'w': self.request_queue[i] = Request(int(tmp[i].replace('w','')), OP_WRITE) else: print 'Must specify reads vs writes, e.g., r10 or w6' exit(1) self.request_count_needed = len(self.request_queue) # fill in extra info about requests if self.mapping == 0: # STRIPING for i in range(len(self.request_queue)): request = self.request_queue[i] logical = request.GetLogicalAddress() assert(logical < self.block_count) disk = logical % self.disk_count offset = logical / self.disk_count request.SetPhysicalAddress([disk], offset) elif self.mapping == 1: # MIRRORING for i in range(len(self.request_queue)): request = self.request_queue[i] if request.GetType() == OP_WRITE: self.request_count_needed += 1 effective_disks = self.disk_count / 2 logical = request.GetLogicalAddress() assert(logical < self.block_count) disk_1 = 2 * (logical % effective_disks) disk_2 = disk_1 + 1 offset = logical / effective_disks request.SetPhysicalAddress([disk_1, disk_2], offset) elif self.mapping == 4: # RAID-4 (PARITY DISK) for i in range(len(self.request_queue)): request = self.request_queue[i] if request.GetType() == OP_WRITE: self.request_count_needed += 3 logical = request.GetLogicalAddress() assert(logical < self.block_count) disk = logical % (self.disk_count-1) offset = logical / (self.disk_count-1) request.SetPhysicalAddress([disk, 3], offset) # XXX This really only works for SOME demos # (it is not a general purpose feature) for i in range(0,len(self.request_queue),3): if i+2 >= len(self.request_queue): continue logical = self.request_queue[i].GetLogicalAddress() if self.request_queue[i+1].GetLogicalAddress() == logical + 1: if self.request_queue[i+2].GetLogicalAddress() == logical + 2: # full stripe detected: now mark and handle differently when scheduling for j in range(i, i+2): self.request_queue[j].MarkFullStripeWrite() self.request_queue[i+2].MarkFullStripeWrite(True) self.request_count_needed -= 8 elif self.mapping == 5: # RAID-5 (ROTATED PARITY) for i in range(len(self.request_queue)): request = self.request_queue[i] if request.GetType() == OP_WRITE: self.request_count_needed += 3 logical = request.GetLogicalAddress() assert(logical < self.block_count) disk = logical % (self.disk_count-1) offset = logical / (self.disk_count-1) if offset % 4 == 0: parity_disk = 3 elif offset % 4 == 1: parity_disk = 2 if disk >= 2: disk += 1 elif offset % 4 == 2: parity_disk = 1 if disk >= 1: disk += 1 elif offset % 4 == 3: parity_disk = 0 disk += 1 # print 'LOGICAL', logical, 'offset', offset, 'disk', disk, 'paritydisk', parity_disk request.SetPhysicalAddress([disk, parity_disk], offset) # draw request queue self.request_queue_box_ids = [] self.request_queue_text_ids = [] self.request_queue_count_ids = [] self.request_queue_counts = [] x_start = 40 x = x_start y = 32 sz = 10 font = ('Helvetica', sz+4) font_small = ('Helvetica', 8) for index in range(len(self.request_queue)): if x > 500: x = x_start y += (2*sz) + 2 request = self.request_queue[index] logical = request.GetLogicalAddress() self.request_queue_box_ids.append(self.canvas.create_rectangle(x-sz,y-sz,x+sz,y+sz,fill='white',outline='')) self.request_queue_text_ids.append(self.canvas.create_text(x, y, text=str(logical), anchor='c', font=font)) self.request_queue_count_ids.append(self.canvas.create_text(x+8, y+8, text=str(0), anchor='c', font=font_small)) self.request_queue_counts.append(0) x += (2*sz) # BINDINGS self.root.bind('s', self.Start) self.root.bind('p', self.Pause) self.root.bind('q', self.Exit) # draw current limits of queue self.windowID = -1 self.DrawWindow() # TIME INFO and other stats self.timeID = self.canvas.create_text(10, 10, text='Time: 0.00', anchor='w') self.timer = 0 self.logical_requests = 0 self.latency_total = 0 # read/write counts self.count_reads = {} self.count_writes = {} self.count_reads_id = {} self.count_writes_id = {} x = disk_width - 10 font = ('Helvetica', 14) for i in range(self.disk_count): self.count_reads[i] = 0 self.count_writes[i] = 0 self.canvas.create_rectangle(x-50,510,x,530, fill='orange', outline='') self.canvas.create_rectangle(x+50,510,x,530, fill='yellow', outline='') self.count_reads_id[i] = self.canvas.create_text(x-20, 520, text='R:0', anchor='c', font=font) self.count_writes_id[i] = self.canvas.create_text(x+20, 520, text='W:0', anchor='c', font=font) x += disk_width + 20 # set up animation loop self.do_animate = True self.is_done = False return # call this to start simulation def Go(self): self.root.mainloop() return # # BUTTONS # def Start(self, event): self.GetNextIOs() self.Animate() return def Pause(self, event): if self.do_animate == False: self.do_animate = True else: self.do_animate = False return def Exit(self, event): sys.exit(0) return # # ROUTINES # def UpdateWriteCounter(self, disk, how_much): self.count_writes[disk] += how_much self.canvas.itemconfig(self.count_writes_id[disk], text='W:%d' % self.count_writes[disk]) return def UpdateReadCounter(self, disk, how_much): self.count_reads[disk] += how_much self.canvas.itemconfig(self.count_reads_id[disk], text='R:%d' % self.count_reads[disk]) return def UpdateTime(self): self.canvas.itemconfig(self.timeID, text='Time: ' + str(self.timer)) return def DrawWindow(self): return def BlockSetColor(self, disk, offset, color): block_id = self.disk_and_offset_to_rect_id[(disk, offset)] self.canvas.itemconfig(block_id, fill=color) return def QueueSetColor(self, index, fill_color): box_id = self.request_queue_box_ids[index] self.canvas.itemconfig(box_id, fill=fill_color) self.request_queue_counts[index] += 1 count_id = self.request_queue_count_ids[index] self.canvas.itemconfig(count_id, text='%d' % self.request_queue_counts[index]) return def SetSeekDirection(self, disk, dest_block): if self.GetHeadPosition(disk) < self.block_offset[dest_block]: self.seek_delta[disk] = self.seek_speed else: self.seek_delta[disk] = -self.seek_speed return def StartRead(self, disk, offset, logical_address, request, queue_index): self.current_optype[disk] = OP_READ self.StartRequest(disk, offset, logical_address, request, queue_index, 'orange') return def StartWrite(self, disk, offset, logical_address, request, queue_index): self.current_optype[disk] = OP_WRITE self.StartRequest(disk, offset, logical_address, request, queue_index, 'yellow') return def StartRequest(self, disk, offset, logical_address, request, queue_index, fill_color): self.QueueSetColor(queue_index, fill_color) self.disk_state[disk] = STATE_SEEK self.BlockSetColor(disk, offset, fill_color) self.SetSeekDirection(disk, logical_address) self.last_target[disk] = self.current_target[disk] self.current_target[disk] = request return def DoStripeScheduling(self, disk, index): request = self.request_queue[index] logical = request.GetLogicalAddress() if request.GetStatus(0) == REQ_NOT_STARTED and logical % self.disk_count == disk: offset = request.GetPhysicalOffset() request.MarkStart(self.timer) if request.GetType() == OP_READ: request.SetStatus(0, REQ_DO_READ) self.StartRead(disk, offset, logical, request, index) else: request.SetStatus(0, REQ_DO_WRITE) self.StartWrite(disk, offset, logical, request, index) return return def DoMirrorScheduling(self, disk, index): request = self.request_queue[index] logical = request.GetLogicalAddress() disks = request.GetPhysicalDiskList() if disks[0] == disk: disk_index = 0 elif disks[1] == disk: disk_index = 1 else: return if request.GetStatus(disk_index) == REQ_NOT_STARTED and (disk == disks[0] or disk == disks[1]): offset = request.GetPhysicalOffset() request.MarkStart(self.timer) if request.GetType() == OP_READ: request.SetStatus(disk_index, REQ_DO_READ) request.SetStatus(1 - disk_index, REQ_DONE) self.StartRead(disk, offset, logical, request, index) else: request.SetStatus(disk_index, REQ_DO_WRITE) self.StartWrite(disk, offset, logical, request, index) return return def DoRaid4Scheduling(self, disk, index): request = self.request_queue[index] logical = request.GetLogicalAddress() # reads: easy case, just like striped read if request.GetType() == OP_READ and request.GetStatus(0) == REQ_NOT_STARTED and logical % (self.disk_count-1) == disk: request.MarkStart(self.timer) request.SetStatus(0, REQ_DO_READ) offset = request.GetPhysicalOffset() self.StartRead(disk, offset, logical, request, index) return # now focus on writes: which turn into two reads, two writes if request.GetType() != OP_WRITE: return disks = request.GetPhysicalDiskList() if disks[0] != disk and disks[1] != disk: return if disks[0] == disk: disk_index = 0 elif disks[1] == disk: disk_index = 1 # check for possible FULL STRIPE WRITE (full_stripe_write, do_parity) = request.FullStripeWriteStatus() if full_stripe_write: offset = request.GetPhysicalOffset() if do_parity == False and request.GetStatus(disk_index) == REQ_NOT_STARTED: # print 'doing FULL STRIPE WRITE (parity)' # in this case, turn off both reads and write to parity disk request.MarkStart(self.timer) request.SetStatus(disk_index, REQ_DO_WRITE) request.SetStatus(1-disk_index, REQ_DONE) self.StartWrite(disk, offset, logical, request, index) return if do_parity == True and request.GetStatus(disk_index) == REQ_NOT_STARTED: # in this case, turn off reads but ensure both writes happen request.MarkStart(self.timer) request.SetStatus(disk_index, REQ_DO_WRITE) # request.SetStatus(1, REQ_DO_WRITE) # print 'doing FULL STRIPE WRITE (non-parity)' self.StartWrite(disk, offset, logical, request, index) return # normal case: SUBTRACTIVE PARITY handling # handle a LOGICAL WRITE that has not yet started # it starts with a READ if request.GetStatus(disk_index) == REQ_NOT_STARTED: request.MarkStart(self.timer) request.SetStatus(disk_index, REQ_DO_READ) offset = request.GetPhysicalOffset() self.StartRead(disk, offset, logical, request, index) return # handle a LOGICAL write that is mid way # it is ended with a WRITE if request.GetStatus(disk_index) == REQ_PARITY_WRITE_PHASE_BEGIN: request.SetStatus(disk_index, REQ_DO_WRITE) offset = request.GetPhysicalOffset() self.StartWrite(disk, offset, logical, request, index) return return def DoRaid5Scheduling(self, disk, index): request = self.request_queue[index] logical = request.GetLogicalAddress() # reads: easy case, just like striped read if request.GetType() == OP_READ and request.GetStatus(0) == REQ_NOT_STARTED and request.GetPhysicalDiskList()[0] == disk: request.MarkStart(self.timer) request.SetStatus(0, REQ_DO_READ) offset = request.GetPhysicalOffset() # print 'start', disk, offset self.StartRead(disk, offset, logical, request, index) return # now focus on writes: which turn into two reads, two writes if request.GetType() != OP_WRITE: return disks = request.GetPhysicalDiskList() if disks[0] != disk and disks[1] != disk: return if disks[0] == disk: disk_index = 0 elif disks[1] == disk: disk_index = 1 # normal case: SUBTRACTIVE PARITY handling # handle a LOGICAL WRITE that has not yet started # it starts with a READ if request.GetStatus(disk_index) == REQ_NOT_STARTED: request.MarkStart(self.timer) request.SetStatus(disk_index, REQ_DO_READ) offset = request.GetPhysicalOffset() # print 'start read', logical, disk, offset self.StartRead(disk, offset, logical, request, index) return # handle a LOGICAL write that is mid way # it is ended with a WRITE if request.GetStatus(disk_index) == REQ_PARITY_WRITE_PHASE_BEGIN: request.SetStatus(disk_index, REQ_DO_WRITE) offset = request.GetPhysicalOffset() # print 'start write', logical, disk, offset self.StartWrite(disk, offset, logical, request, index) return return def GetNextIOs(self): # check if done: if so, print stats and end animation if self.request_count == self.request_count_needed: self.UpdateTime() self.PrintStats() self.do_animate = False self.is_done = True return # scheduler for disk in range(self.disk_count): count = 0 for index in self.request_queue: if self.window != -1 and count >= self.window: continue count += 1 if self.mapping == 0: if self.disk_state[disk] == STATE_NULL: self.DoStripeScheduling(disk, index) elif self.mapping == 1: if self.disk_state[disk] == STATE_NULL: self.DoMirrorScheduling(disk, index) elif self.mapping == 4: if self.disk_state[disk] == STATE_NULL: self.DoRaid4Scheduling(disk, index) elif self.mapping == 5: if self.disk_state[disk] == STATE_NULL: self.DoRaid5Scheduling(disk, index) return def GetHeadPosition(self, disk): return self.head_position[disk]['y1'] def MoveHead(self, disk): self.head_position[disk]['y1'] += self.seek_delta[disk] self.head_position[disk]['y2'] += self.seek_delta[disk] self.canvas.coords(self.head_ids[disk], self.head_position[disk]['x1'], self.head_position[disk]['y1'], self.head_position[disk]['x2'], self.head_position[disk]['y2']) return def DoneWithSeek(self, disk): request = self.current_target[disk] if self.GetHeadPosition(disk) == self.offset_to_ypos[request.GetPhysicalOffset()]: return True return False def StartTransfer(self, disk): offset_current = self.current_target[disk].GetPhysicalOffset() if self.last_target[disk] == -1: offset_last = -1 else: # print self.last_target[disk] offset_last = self.last_target[disk].GetPhysicalOffset() if offset_current == offset_last + 1: self.transfer_count[disk] = 1 else: self.transfer_count[disk] = 10 return def DoneWithTransfer(self, disk): return self.transfer_count[disk] == 0 # called when a single IO is finished # note: request (as in mirrored or parity write) contains multiple IOs def MarkDone(self, disk): request = self.current_target[disk] low_level_op_type = self.current_optype[disk] if low_level_op_type == OP_WRITE: self.UpdateWriteCounter(disk, 1) elif low_level_op_type == OP_READ: self.UpdateReadCounter(disk, 1) # this is to move IOs through different phases if self.mapping == 4 or self.mapping == 5: (request_done, latency) = request.RequestLevel4Done(disk, self.timer) elif self.mapping == 1: (request_done, latency) = request.RequestLevel1Done(disk, self.timer) elif self.mapping == 0: (request_done, latency) = request.RequestLevel0Done(disk, self.timer) if request_done: self.logical_requests += 1 self.latency_total += latency # print 'LATENCY', latency if self.window > 0: self.window += 1 return def Animate(self): if self.do_animate == False: self.root.after(self.animate_delay, self.Animate) return # timer self.timer += 1 self.UpdateTime() # move the blocks # now check if something should be happening for disk in range(self.disk_count): if self.disk_state[disk] == STATE_SEEK: if self.DoneWithSeek(disk): self.disk_state[disk] = STATE_XFER block_id = self.disk_and_offset_to_rect_id[(disk, self.current_target[disk].GetPhysicalOffset())] self.StartTransfer(disk) else: self.MoveHead(disk) if self.disk_state[disk] == STATE_XFER: self.transfer_count[disk] -= 1 if self.DoneWithTransfer(disk): offset = self.current_target[disk].GetPhysicalOffset() self.MarkDone(disk) self.request_count += 1 self.disk_state[disk] = STATE_NULL self.BlockSetColor(disk, self.current_target[disk].GetPhysicalOffset(), self.color_map[(disk, offset)]) self.GetNextIOs() # make sure to keep the animation going! self.root.after(self.animate_delay, self.Animate) return def DoRequestStats(self): return def PrintStats(self): print 'Total Time: ', self.timer print ' Requests: ', self.logical_requests print ' Avg Latency: %.2f' % (float(self.latency_total) / float(self.logical_requests)) return # END: class Disk # # MAIN SIMULATOR # parser = OptionParser() parser.add_option('-s', '--seed', default='0', help='Random seed', action='store', type='int', dest='seed') parser.add_option('-m', '--mapping', default='0', help='0-striping, 1-mirroring, 4-raid4, 5-raid5', action='store', type='int', dest='mapping') parser.add_option('-a', '--addr', default='', help='Request list (comma-separated) [-1 -> use addrDesc]', action='store', type='string', dest='addr') parser.add_option('-r', '--read_fraction', default='0.5', help='Fraction of requests that are reads', action='store', type='string', dest='read_fraction') parser.add_option('-A', '--addr_desc', default='5,-1,0', help='Num requests, max request (-1->all), min request', action='store', type='string', dest='addr_desc') parser.add_option('-B', '--balanced', default=True, help='If generating random requests, balance across disks', action='store_true', dest='balance') parser.add_option('-S', '--seek_speed', default='4', help='Speed of seek (1,2,4,5,10,20)', action='store', type='int', dest='seek_speed') parser.add_option('-p', '--policy', default='FIFO', help='Scheduling policy (FIFO, SSTF, SATF, BSATF)', action='store', type='string', dest='policy') parser.add_option('-w', '--window', default=-1, help='Size of scheduling window (-1 -> all)', action='store', type='int', dest='window') parser.add_option('-D', '--delay', default=20, help='Animation delay; bigger is slower', action='store', type='int', dest='animate_delay') parser.add_option('-G', '--graphics', default=True, help='Turn on graphics', action='store_true', dest='graphics') parser.add_option('-c', '--compute', default=False, help='Compute the answers', action='store_true', dest='compute') parser.add_option('-P', '--print_options', default=False, help='Print the options', action='store_true', dest='print_options') (options, args) = parser.parse_args() if options.print_options: print 'OPTIONS seed', options.seed print 'OPTIONS addr', options.addr print 'OPTIONS addr_desc', options.addr_desc print 'OPTIONS seek_speed', options.seek_speed print 'OPTIONS window', options.window print 'OPTIONS policy', options.policy print 'OPTIONS compute', options.compute print 'OPTIONS read_fraction', options.read_fraction print 'OPTIONS graphics', options.graphics print 'OPTIONS animate_delay', options.animate_delay print '' if options.window == 0: print 'Scheduling window (%d) must be positive or -1 (which means a full window)' % options.window sys.exit(1) # set up simulator info d = Raid(mapping=options.mapping, addr_desc=options.addr_desc, addr=options.addr, disk_count=4, seek_speed=options.seek_speed, seed=options.seed, balance=options.balance, read_fraction=float(options.read_fraction), window=options.window, animate_delay=options.animate_delay) # run simulation d.Go()

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from Tkinter import * from types import * import math, random, time, sys, os from optparse import OptionParser STATE_NULL = 0 STATE_SEEK = 1 STATE_XFER = 2 STATE_DONE = 3 REQ_NOT_STARTED = 0 REQ_DO_READ = 1 REQ_DO_WRITE = 2 REQ_PARITY_READ_PHASE_DONE = 4 REQ_PARITY_WRITE_PHASE_BEGIN = 5 REQ_DONE = 10 OP_READ = 1 OP_WRITE = 2 class Request: def __init__(self, logical_address, op_type): self.logical_address = logical_address assert(op_type == OP_WRITE or op_type == OP_READ) self.op_type = op_type self.disk_to_index_map = {} self.full_stripe_write = False self.full_stripe_write_parity = False self.start_time = -1 return def MarkFullStripeWrite(self, parity=False): self.full_stripe_write = True self.full_stripe_write_parity = parity return def FullStripeWriteStatus(self): return (self.full_stripe_write, self.full_stripe_write_parity) def GetType(self): return self.op_type def GetLogicalAddress(self): return self.logical_address def GetStatus(self, index): return self.status[index] def GetStatusByDisk(self, disk): index = self.disk_to_index_map[disk] return self.status[index] def SetStatus(self, index, status): self.status[index] = status def SetPhysicalAddress(self, disk_list, offset): self.phys_disk_list = disk_list cnt = 0 for disk in self.phys_disk_list: self.disk_to_index_map[disk] = cnt cnt += 1 self.phys_offset = offset self.status = [] for disk in self.phys_disk_list: self.status.append(REQ_NOT_STARTED) return def PrintableStatus(self, status): if status == REQ_NOT_STARTED: return 'REQ_NOT_STARTED' if status == REQ_DO_WRITE: return 'REQ_DO_WRITE' if status == REQ_DO_READ: return 'REQ_DO_READ' if status == REQ_DONE: return 'REQ_DONE' if status == REQ_PARITY_READ_PHASE_DONE: return 'REQ_PARITY_READ_PHASE_DONE' if status == REQ_PARITY_WRITE_PHASE_BEGIN: return 'REQ_PARITY_WRITE_PHASE_BEGIN' print 'BAD STATUS', status exit(1) return def MarkStart(self, timer): if self.start_time == -1: self.start_time = timer return def RequestLevel0Done(self, disk, timer): index = self.disk_to_index_map[disk] if self.status[index] == REQ_DO_READ or self.status[index] == REQ_DO_WRITE: self.status[index] = REQ_DONE return (True, timer - self.start_time) def RequestLevel1Done(self, disk, timer): index = self.disk_to_index_map[disk] if self.status[index] == REQ_DO_READ: self.status[index] = REQ_DONE return (True, timer - self.start_time) assert(self.status[index] == REQ_DO_WRITE) self.status[index] = REQ_DONE if self.status[1-index] == REQ_DONE: return (True, timer - self.start_time) return (False, -1) def RequestLevel4Done(self, disk, timer): index = self.disk_to_index_map[disk] if self.op_type == OP_READ: return (True, timer - self.start_time) if self.status[index] == REQ_DO_READ: self.status[index] = REQ_PARITY_READ_PHASE_DONE elif self.status[index] == REQ_DO_WRITE: self.status[index] = REQ_DONE if self.status[index] == REQ_PARITY_READ_PHASE_DONE and self.status[1-index] == REQ_PARITY_READ_PHASE_DONE: self.status[0] = REQ_PARITY_WRITE_PHASE_BEGIN self.status[1] = REQ_PARITY_WRITE_PHASE_BEGIN if self.status[index] == REQ_DONE and self.status[1-index] == REQ_DONE: return (True, timer - self.start_time) return (False, -1) def GetPhysicalOffset(self): return self.phys_offset def GetPhysicalDiskList(self): return self.phys_disk_list class Raid: def __init__(self, mapping, addr_desc, addr, disk_count, seek_speed, seed, balance, read_fraction, window, animate_delay): self.mapping = mapping self.disk_count = disk_count self.seek_speed = seek_speed self.addr_desc = addr_desc self.balance = balance self.addr = addr self.read_fraction = read_fraction self.window = window self.animate_delay = animate_delay random.seed(seed) self.root = Tk() self.canvas = Canvas(self.root, width=560, height=530) self.canvas.pack() disk_width = 100 self.head_width = 10 self.head_height = 20 self.block_offset = {} self.offset_to_ypos = {} self.disk_and_offset_to_rect_id = {} self.color_map = {} if self.mapping == 0: self.block_count = 80 for i in range(self.block_count): disk = i % self.disk_count offset = i / self.disk_count rect_x = 40 + ((20 + disk_width) * disk) rect_y = (20 * offset) + 100 self.color_map[(disk, offset)] = 'gray' rect_id = self.canvas.create_rectangle(rect_x, rect_y, rect_x+disk_width, rect_y+20, fill='gray', outline='black') text_id = self.canvas.create_text(rect_x + disk_width - disk_width/2.0, rect_y+10, text='%s' % i, anchor='c') self.block_offset[i] = rect_y self.offset_to_ypos[offset] = rect_y self.disk_and_offset_to_rect_id[(disk, offset)] = rect_id elif self.mapping == 1: self.block_count = 40 effective_disks = self.disk_count / 2 assert(self.disk_count % 2 == 0) for i in range(self.block_count): INDEX = i % effective_disks disk_1 = INDEX * 2 disk_2 = disk_1 + 1 offset = i / effective_disks rect_y = (20 * offset) + 100 rect_x = 40 + ((20 + disk_width) * disk_1) self.color_map[(disk_1, offset)] = 'gray' rect_id_1 = self.canvas.create_rectangle(rect_x, rect_y, rect_x+disk_width, rect_y+20, fill='gray', outline='black') text_id_1 = self.canvas.create_text(rect_x + disk_width - disk_width/2.0, rect_y+10, text='%s' % i, anchor='c') rect_x = 40 + ((20 + disk_width) * disk_2) self.color_map[(disk_2, offset)] = 'gray' rect_id_2 = self.canvas.create_rectangle(rect_x, rect_y, rect_x+disk_width, rect_y+20, fill='gray', outline='black') text_id_2 = self.canvas.create_text(rect_x + disk_width - disk_width/2.0, rect_y+10, text='%s' % i, anchor='c') self.block_offset[i] = rect_y self.offset_to_ypos[offset] = rect_y self.disk_and_offset_to_rect_id[(disk_1, offset)] = rect_id_1 self.disk_and_offset_to_rect_id[(disk_2, offset)] = rect_id_2 elif self.mapping == 4: self.block_count_full = 80 self.block_count = 60 for i in range(self.block_count): disk = i % (self.disk_count-1) offset = i / (self.disk_count-1) rect_x = 40 + ((20 + disk_width) * disk) rect_y = (20 * offset) + 100 self.color_map[(disk, offset)] = 'lightgray' rect_id = self.canvas.create_rectangle(rect_x, rect_y, rect_x+disk_width, rect_y+20, fill='lightgray', outline='black') text_id = self.canvas.create_text(rect_x + disk_width - disk_width/2.0, rect_y+10, text='%s' % i, anchor='c') self.block_offset[i] = rect_y self.offset_to_ypos[offset] = rect_y self.disk_and_offset_to_rect_id[(disk, offset)] = rect_id for i in range(self.block_count_full/self.disk_count): disk = 3 offset = i rect_x = 40 + ((20 + disk_width) * disk) rect_y = (20 * offset) + 100 self.color_map[(disk, offset)] = 'darkgray' rect_id = self.canvas.create_rectangle(rect_x, rect_y, rect_x+disk_width, rect_y+20, fill='darkgray', outline='black') text_id = self.canvas.create_text(rect_x + disk_width - disk_width/2.0, rect_y+10, text='P%s' % i, anchor='c') self.block_offset['p' + str(i)] = rect_y self.offset_to_ypos[offset] = rect_y self.disk_and_offset_to_rect_id[(disk, offset)] = rect_id elif self.mapping == 5: self.block_count_full = 80 self.block_count = 60 for i in range(self.block_count): offset = i / (self.disk_count-1) if offset % 4 == 0: disk = i % (self.disk_count-1) elif offset % 4 == 1: disk = i % (self.disk_count-1) if disk >= 2: disk += 1 elif offset % 4 == 2: disk = i % (self.disk_count-1) if disk >= 1: disk += 1 elif offset % 4 == 3: disk = i % (self.disk_count-1) disk += 1 rect_x = 40 + ((20 + disk_width) * disk) rect_y = (20 * offset) + 100 self.color_map[(disk, offset)] = 'gray' rect_id = self.canvas.create_rectangle(rect_x, rect_y, rect_x+disk_width, rect_y+20, fill='gray', outline='black') text_id = self.canvas.create_text(rect_x + disk_width - disk_width/2.0, rect_y+10, text='%s' % i, anchor='c') self.block_offset[i] = rect_y self.offset_to_ypos[offset] = rect_y self.disk_and_offset_to_rect_id[(disk, offset)] = rect_id for i in range(self.block_count_full/self.disk_count): offset = i if offset % 4 == 0: disk = 3 elif offset % 4 == 1: disk = 2 elif offset % 4 == 2: disk = 1 elif offset % 4 == 3: disk = 0 rect_x = 40 + ((20 + disk_width) * disk) rect_y = (20 * offset) + 100 self.color_map[(disk, offset)] = 'darkgray' rect_id = self.canvas.create_rectangle(rect_x, rect_y, rect_x+disk_width, rect_y+20, fill='darkgray', outline='black') text_id = self.canvas.create_text(rect_x + disk_width - disk_width/2.0, rect_y+10, text='P%s' % i, anchor='c') self.block_offset['p' + str(i)] = rect_y self.offset_to_ypos[offset] = rect_y self.disk_and_offset_to_rect_id[(disk, offset)] = rect_id else: print 'mapping', self.mapping, 'not supported' exit(1) self.head_ids = {} self.head_position = {} self.disk_state = {} for disk in range(self.disk_count): rect_x = 40 - self.head_width + ((20 + disk_width) * disk) rect_y = 100 head_id = self.canvas.create_rectangle(rect_x, rect_y, rect_x+self.head_width, rect_y+self.head_height, fill='black', outline='black') self.head_ids[disk] = head_id self.head_position[disk] = {'x1':rect_x, 'y1':rect_y, 'x2':rect_x+self.head_width, 'y2':rect_y+self.head_height} self.disk_state[disk] = STATE_NULL self.last_target = {} self.current_target = {} self.current_optype = {} self.seek_delta = {} for disk in range(self.disk_count): self.last_target[disk] = -1 self.current_target[disk] = -1 self.current_optype[disk] = -1 self.seek_delta[disk] = 0 self.transfer_count = {} self.rotate_count = {} for disk in range(self.disk_count): self.transfer_count[disk] = -1 self.rotate_count[disk] = -1 self.request_queue = {} self.request_count = 0 effective_disk_count = 4 if self.mapping == 4: effective_disk_count = 3 if self.addr == '': tmp = self.addr_desc.split(',') num = int(tmp[0]) req_max = int(tmp[1]) if req_max == -1: req_max = self.block_count req_min = int(tmp[2]) if self.balance: disk_min = num / effective_disk_count if req_min >= req_max: print 'bad addr_desc: min should be lower than max', req_min, req_max exit(1) target_disk = 0 for i in range(num): while True: req = int(random.random() * req_max) if req % effective_disk_count != target_disk: continue target_disk += 1 if target_disk == effective_disk_count: target_disk = 0 if req >= req_min: if random.random() < read_fraction: self.request_queue[i] = Request(req, OP_READ) else: self.request_queue[i] = Request(req, OP_WRITE) break else: tmp = self.addr.split(',') for i in range(len(tmp)): if tmp[i][0] == 'r': self.request_queue[i] = Request(int(tmp[i].replace('r','')), OP_READ) elif tmp[i][0] == 'w': self.request_queue[i] = Request(int(tmp[i].replace('w','')), OP_WRITE) else: print 'Must specify reads vs writes, e.g., r10 or w6' exit(1) self.request_count_needed = len(self.request_queue) if self.mapping == 0: for i in range(len(self.request_queue)): request = self.request_queue[i] logical = request.GetLogicalAddress() assert(logical < self.block_count) disk = logical % self.disk_count offset = logical / self.disk_count request.SetPhysicalAddress([disk], offset) elif self.mapping == 1: for i in range(len(self.request_queue)): request = self.request_queue[i] if request.GetType() == OP_WRITE: self.request_count_needed += 1 effective_disks = self.disk_count / 2 logical = request.GetLogicalAddress() assert(logical < self.block_count) disk_1 = 2 * (logical % effective_disks) disk_2 = disk_1 + 1 offset = logical / effective_disks request.SetPhysicalAddress([disk_1, disk_2], offset) elif self.mapping == 4: for i in range(len(self.request_queue)): request = self.request_queue[i] if request.GetType() == OP_WRITE: self.request_count_needed += 3 logical = request.GetLogicalAddress() assert(logical < self.block_count) disk = logical % (self.disk_count-1) offset = logical / (self.disk_count-1) request.SetPhysicalAddress([disk, 3], offset) for i in range(0,len(self.request_queue),3): if i+2 >= len(self.request_queue): continue logical = self.request_queue[i].GetLogicalAddress() if self.request_queue[i+1].GetLogicalAddress() == logical + 1: if self.request_queue[i+2].GetLogicalAddress() == logical + 2: for j in range(i, i+2): self.request_queue[j].MarkFullStripeWrite() self.request_queue[i+2].MarkFullStripeWrite(True) self.request_count_needed -= 8 elif self.mapping == 5: for i in range(len(self.request_queue)): request = self.request_queue[i] if request.GetType() == OP_WRITE: self.request_count_needed += 3 logical = request.GetLogicalAddress() assert(logical < self.block_count) disk = logical % (self.disk_count-1) offset = logical / (self.disk_count-1) if offset % 4 == 0: parity_disk = 3 elif offset % 4 == 1: parity_disk = 2 if disk >= 2: disk += 1 elif offset % 4 == 2: parity_disk = 1 if disk >= 1: disk += 1 elif offset % 4 == 3: parity_disk = 0 disk += 1 request.SetPhysicalAddress([disk, parity_disk], offset) self.request_queue_box_ids = [] self.request_queue_text_ids = [] self.request_queue_count_ids = [] self.request_queue_counts = [] x_start = 40 x = x_start y = 32 sz = 10 font = ('Helvetica', sz+4) font_small = ('Helvetica', 8) for index in range(len(self.request_queue)): if x > 500: x = x_start y += (2*sz) + 2 request = self.request_queue[index] logical = request.GetLogicalAddress() self.request_queue_box_ids.append(self.canvas.create_rectangle(x-sz,y-sz,x+sz,y+sz,fill='white',outline='')) self.request_queue_text_ids.append(self.canvas.create_text(x, y, text=str(logical), anchor='c', font=font)) self.request_queue_count_ids.append(self.canvas.create_text(x+8, y+8, text=str(0), anchor='c', font=font_small)) self.request_queue_counts.append(0) x += (2*sz) self.root.bind('s', self.Start) self.root.bind('p', self.Pause) self.root.bind('q', self.Exit) self.windowID = -1 self.DrawWindow() self.timeID = self.canvas.create_text(10, 10, text='Time: 0.00', anchor='w') self.timer = 0 self.logical_requests = 0 self.latency_total = 0 self.count_reads = {} self.count_writes = {} self.count_reads_id = {} self.count_writes_id = {} x = disk_width - 10 font = ('Helvetica', 14) for i in range(self.disk_count): self.count_reads[i] = 0 self.count_writes[i] = 0 self.canvas.create_rectangle(x-50,510,x,530, fill='orange', outline='') self.canvas.create_rectangle(x+50,510,x,530, fill='yellow', outline='') self.count_reads_id[i] = self.canvas.create_text(x-20, 520, text='R:0', anchor='c', font=font) self.count_writes_id[i] = self.canvas.create_text(x+20, 520, text='W:0', anchor='c', font=font) x += disk_width + 20 self.do_animate = True self.is_done = False return def Go(self): self.root.mainloop() return def Start(self, event): self.GetNextIOs() self.Animate() return def Pause(self, event): if self.do_animate == False: self.do_animate = True else: self.do_animate = False return def Exit(self, event): sys.exit(0) return def UpdateWriteCounter(self, disk, how_much): self.count_writes[disk] += how_much self.canvas.itemconfig(self.count_writes_id[disk], text='W:%d' % self.count_writes[disk]) return def UpdateReadCounter(self, disk, how_much): self.count_reads[disk] += how_much self.canvas.itemconfig(self.count_reads_id[disk], text='R:%d' % self.count_reads[disk]) return def UpdateTime(self): self.canvas.itemconfig(self.timeID, text='Time: ' + str(self.timer)) return def DrawWindow(self): return def BlockSetColor(self, disk, offset, color): block_id = self.disk_and_offset_to_rect_id[(disk, offset)] self.canvas.itemconfig(block_id, fill=color) return def QueueSetColor(self, index, fill_color): box_id = self.request_queue_box_ids[index] self.canvas.itemconfig(box_id, fill=fill_color) self.request_queue_counts[index] += 1 count_id = self.request_queue_count_ids[index] self.canvas.itemconfig(count_id, text='%d' % self.request_queue_counts[index]) return def SetSeekDirection(self, disk, dest_block): if self.GetHeadPosition(disk) < self.block_offset[dest_block]: self.seek_delta[disk] = self.seek_speed else: self.seek_delta[disk] = -self.seek_speed return def StartRead(self, disk, offset, logical_address, request, queue_index): self.current_optype[disk] = OP_READ self.StartRequest(disk, offset, logical_address, request, queue_index, 'orange') return def StartWrite(self, disk, offset, logical_address, request, queue_index): self.current_optype[disk] = OP_WRITE self.StartRequest(disk, offset, logical_address, request, queue_index, 'yellow') return def StartRequest(self, disk, offset, logical_address, request, queue_index, fill_color): self.QueueSetColor(queue_index, fill_color) self.disk_state[disk] = STATE_SEEK self.BlockSetColor(disk, offset, fill_color) self.SetSeekDirection(disk, logical_address) self.last_target[disk] = self.current_target[disk] self.current_target[disk] = request return def DoStripeScheduling(self, disk, index): request = self.request_queue[index] logical = request.GetLogicalAddress() if request.GetStatus(0) == REQ_NOT_STARTED and logical % self.disk_count == disk: offset = request.GetPhysicalOffset() request.MarkStart(self.timer) if request.GetType() == OP_READ: request.SetStatus(0, REQ_DO_READ) self.StartRead(disk, offset, logical, request, index) else: request.SetStatus(0, REQ_DO_WRITE) self.StartWrite(disk, offset, logical, request, index) return return def DoMirrorScheduling(self, disk, index): request = self.request_queue[index] logical = request.GetLogicalAddress() disks = request.GetPhysicalDiskList() if disks[0] == disk: disk_index = 0 elif disks[1] == disk: disk_index = 1 else: return if request.GetStatus(disk_index) == REQ_NOT_STARTED and (disk == disks[0] or disk == disks[1]): offset = request.GetPhysicalOffset() request.MarkStart(self.timer) if request.GetType() == OP_READ: request.SetStatus(disk_index, REQ_DO_READ) request.SetStatus(1 - disk_index, REQ_DONE) self.StartRead(disk, offset, logical, request, index) else: request.SetStatus(disk_index, REQ_DO_WRITE) self.StartWrite(disk, offset, logical, request, index) return return def DoRaid4Scheduling(self, disk, index): request = self.request_queue[index] logical = request.GetLogicalAddress() if request.GetType() == OP_READ and request.GetStatus(0) == REQ_NOT_STARTED and logical % (self.disk_count-1) == disk: request.MarkStart(self.timer) request.SetStatus(0, REQ_DO_READ) offset = request.GetPhysicalOffset() self.StartRead(disk, offset, logical, request, index) return if request.GetType() != OP_WRITE: return disks = request.GetPhysicalDiskList() if disks[0] != disk and disks[1] != disk: return if disks[0] == disk: disk_index = 0 elif disks[1] == disk: disk_index = 1 (full_stripe_write, do_parity) = request.FullStripeWriteStatus() if full_stripe_write: offset = request.GetPhysicalOffset() if do_parity == False and request.GetStatus(disk_index) == REQ_NOT_STARTED: request.MarkStart(self.timer) request.SetStatus(disk_index, REQ_DO_WRITE) request.SetStatus(1-disk_index, REQ_DONE) self.StartWrite(disk, offset, logical, request, index) return if do_parity == True and request.GetStatus(disk_index) == REQ_NOT_STARTED: request.MarkStart(self.timer) request.SetStatus(disk_index, REQ_DO_WRITE) self.StartWrite(disk, offset, logical, request, index) return if request.GetStatus(disk_index) == REQ_NOT_STARTED: request.MarkStart(self.timer) request.SetStatus(disk_index, REQ_DO_READ) offset = request.GetPhysicalOffset() self.StartRead(disk, offset, logical, request, index) return if request.GetStatus(disk_index) == REQ_PARITY_WRITE_PHASE_BEGIN: request.SetStatus(disk_index, REQ_DO_WRITE) offset = request.GetPhysicalOffset() self.StartWrite(disk, offset, logical, request, index) return return def DoRaid5Scheduling(self, disk, index): request = self.request_queue[index] logical = request.GetLogicalAddress() if request.GetType() == OP_READ and request.GetStatus(0) == REQ_NOT_STARTED and request.GetPhysicalDiskList()[0] == disk: request.MarkStart(self.timer) request.SetStatus(0, REQ_DO_READ) offset = request.GetPhysicalOffset() self.StartRead(disk, offset, logical, request, index) return if request.GetType() != OP_WRITE: return disks = request.GetPhysicalDiskList() if disks[0] != disk and disks[1] != disk: return if disks[0] == disk: disk_index = 0 elif disks[1] == disk: disk_index = 1 if request.GetStatus(disk_index) == REQ_NOT_STARTED: request.MarkStart(self.timer) request.SetStatus(disk_index, REQ_DO_READ) offset = request.GetPhysicalOffset() self.StartRead(disk, offset, logical, request, index) return if request.GetStatus(disk_index) == REQ_PARITY_WRITE_PHASE_BEGIN: request.SetStatus(disk_index, REQ_DO_WRITE) offset = request.GetPhysicalOffset() self.StartWrite(disk, offset, logical, request, index) return return def GetNextIOs(self): if self.request_count == self.request_count_needed: self.UpdateTime() self.PrintStats() self.do_animate = False self.is_done = True return for disk in range(self.disk_count): count = 0 for index in self.request_queue: if self.window != -1 and count >= self.window: continue count += 1 if self.mapping == 0: if self.disk_state[disk] == STATE_NULL: self.DoStripeScheduling(disk, index) elif self.mapping == 1: if self.disk_state[disk] == STATE_NULL: self.DoMirrorScheduling(disk, index) elif self.mapping == 4: if self.disk_state[disk] == STATE_NULL: self.DoRaid4Scheduling(disk, index) elif self.mapping == 5: if self.disk_state[disk] == STATE_NULL: self.DoRaid5Scheduling(disk, index) return def GetHeadPosition(self, disk): return self.head_position[disk]['y1'] def MoveHead(self, disk): self.head_position[disk]['y1'] += self.seek_delta[disk] self.head_position[disk]['y2'] += self.seek_delta[disk] self.canvas.coords(self.head_ids[disk], self.head_position[disk]['x1'], self.head_position[disk]['y1'], self.head_position[disk]['x2'], self.head_position[disk]['y2']) return def DoneWithSeek(self, disk): request = self.current_target[disk] if self.GetHeadPosition(disk) == self.offset_to_ypos[request.GetPhysicalOffset()]: return True return False def StartTransfer(self, disk): offset_current = self.current_target[disk].GetPhysicalOffset() if self.last_target[disk] == -1: offset_last = -1 else: offset_last = self.last_target[disk].GetPhysicalOffset() if offset_current == offset_last + 1: self.transfer_count[disk] = 1 else: self.transfer_count[disk] = 10 return def DoneWithTransfer(self, disk): return self.transfer_count[disk] == 0 def MarkDone(self, disk): request = self.current_target[disk] low_level_op_type = self.current_optype[disk] if low_level_op_type == OP_WRITE: self.UpdateWriteCounter(disk, 1) elif low_level_op_type == OP_READ: self.UpdateReadCounter(disk, 1) if self.mapping == 4 or self.mapping == 5: (request_done, latency) = request.RequestLevel4Done(disk, self.timer) elif self.mapping == 1: (request_done, latency) = request.RequestLevel1Done(disk, self.timer) elif self.mapping == 0: (request_done, latency) = request.RequestLevel0Done(disk, self.timer) if request_done: self.logical_requests += 1 self.latency_total += latency if self.window > 0: self.window += 1 return def Animate(self): if self.do_animate == False: self.root.after(self.animate_delay, self.Animate) return self.timer += 1 self.UpdateTime() for disk in range(self.disk_count): if self.disk_state[disk] == STATE_SEEK: if self.DoneWithSeek(disk): self.disk_state[disk] = STATE_XFER block_id = self.disk_and_offset_to_rect_id[(disk, self.current_target[disk].GetPhysicalOffset())] self.StartTransfer(disk) else: self.MoveHead(disk) if self.disk_state[disk] == STATE_XFER: self.transfer_count[disk] -= 1 if self.DoneWithTransfer(disk): offset = self.current_target[disk].GetPhysicalOffset() self.MarkDone(disk) self.request_count += 1 self.disk_state[disk] = STATE_NULL self.BlockSetColor(disk, self.current_target[disk].GetPhysicalOffset(), self.color_map[(disk, offset)]) self.GetNextIOs() self.root.after(self.animate_delay, self.Animate) return def DoRequestStats(self): return def PrintStats(self): print 'Total Time: ', self.timer print ' Requests: ', self.logical_requests print ' Avg Latency: %.2f' % (float(self.latency_total) / float(self.logical_requests)) return parser = OptionParser() parser.add_option('-s', '--seed', default='0', help='Random seed', action='store', type='int', dest='seed') parser.add_option('-m', '--mapping', default='0', help='0-striping, 1-mirroring, 4-raid4, 5-raid5', action='store', type='int', dest='mapping') parser.add_option('-a', '--addr', default='', help='Request list (comma-separated) [-1 -> use addrDesc]', action='store', type='string', dest='addr') parser.add_option('-r', '--read_fraction', default='0.5', help='Fraction of requests that are reads', action='store', type='string', dest='read_fraction') parser.add_option('-A', '--addr_desc', default='5,-1,0', help='Num requests, max request (-1->all), min request', action='store', type='string', dest='addr_desc') parser.add_option('-B', '--balanced', default=True, help='If generating random requests, balance across disks', action='store_true', dest='balance') parser.add_option('-S', '--seek_speed', default='4', help='Speed of seek (1,2,4,5,10,20)', action='store', type='int', dest='seek_speed') parser.add_option('-p', '--policy', default='FIFO', help='Scheduling policy (FIFO, SSTF, SATF, BSATF)', action='store', type='string', dest='policy') parser.add_option('-w', '--window', default=-1, help='Size of scheduling window (-1 -> all)', action='store', type='int', dest='window') parser.add_option('-D', '--delay', default=20, help='Animation delay; bigger is slower', action='store', type='int', dest='animate_delay') parser.add_option('-G', '--graphics', default=True, help='Turn on graphics', action='store_true', dest='graphics') parser.add_option('-c', '--compute', default=False, help='Compute the answers', action='store_true', dest='compute') parser.add_option('-P', '--print_options', default=False, help='Print the options', action='store_true', dest='print_options') (options, args) = parser.parse_args() if options.print_options: print 'OPTIONS seed', options.seed print 'OPTIONS addr', options.addr print 'OPTIONS addr_desc', options.addr_desc print 'OPTIONS seek_speed', options.seek_speed print 'OPTIONS window', options.window print 'OPTIONS policy', options.policy print 'OPTIONS compute', options.compute print 'OPTIONS read_fraction', options.read_fraction print 'OPTIONS graphics', options.graphics print 'OPTIONS animate_delay', options.animate_delay print '' if options.window == 0: print 'Scheduling window (%d) must be positive or -1 (which means a full window)' % options.window sys.exit(1) d = Raid(mapping=options.mapping, addr_desc=options.addr_desc, addr=options.addr, disk_count=4, seek_speed=options.seek_speed, seed=options.seed, balance=options.balance, read_fraction=float(options.read_fraction), window=options.window, animate_delay=options.animate_delay) d.Go()

false

true

f70da5d5d5e7329b2bc1b2ba27f8e1e4a75f979e

20,260

py

Python

tensorflow_probability/python/distributions/mixture.py

jihunchoi/probability

685c5012eba03a23d1b849d35f5e8efe7fdc402d

[ "Apache-2.0" ]

1

2018-11-07T16:31:11.000Z

tensorflow_probability/python/distributions/mixture.py

jihunchoi/probability

685c5012eba03a23d1b849d35f5e8efe7fdc402d

[ "Apache-2.0" ]

null

tensorflow_probability/python/distributions/mixture.py

jihunchoi/probability

685c5012eba03a23d1b849d35f5e8efe7fdc402d

[ "Apache-2.0" ]

null

# Copyright 2018 The TensorFlow Probability Authors. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # ============================================================================ """The Mixture distribution class.""" from __future__ import absolute_import from __future__ import division from __future__ import print_function # Dependency imports import numpy as np import tensorflow as tf from tensorflow_probability.python.distributions import categorical from tensorflow_probability.python.distributions import distribution from tensorflow_probability.python.distributions import seed_stream from tensorflow_probability.python.internal import distribution_util from tensorflow_probability.python.internal import reparameterization from tensorflow.python.framework import tensor_util class Mixture(distribution.Distribution): """Mixture distribution. The `Mixture` object implements batched mixture distributions. The mixture model is defined by a `Categorical` distribution (the mixture) and a python list of `Distribution` objects. Methods supported include `log_prob`, `prob`, `mean`, `sample`, and `entropy_lower_bound`. #### Examples ```python # Create a mixture of two Gaussians: tfd = tfp.distributions mix = 0.3 bimix_gauss = tfd.Mixture( cat=tfd.Categorical(probs=[mix, 1.-mix]), components=[ tfd.Normal(loc=-1., scale=0.1), tfd.Normal(loc=+1., scale=0.5), ]) # Plot the PDF. import matplotlib.pyplot as plt x = tf.linspace(-2., 3., int(1e4)).eval() plt.plot(x, bimix_gauss.prob(x).eval()); ``` """ def __init__(self, cat, components, validate_args=False, allow_nan_stats=True, use_static_graph=False, name="Mixture"): """Initialize a Mixture distribution. A `Mixture` is defined by a `Categorical` (`cat`, representing the mixture probabilities) and a list of `Distribution` objects all having matching dtype, batch shape, event shape, and continuity properties (the components). The `num_classes` of `cat` must be possible to infer at graph construction time and match `len(components)`. Args: cat: A `Categorical` distribution instance, representing the probabilities of `distributions`. components: A list or tuple of `Distribution` instances. Each instance must have the same type, be defined on the same domain, and have matching `event_shape` and `batch_shape`. validate_args: Python `bool`, default `False`. If `True`, raise a runtime error if batch or event ranks are inconsistent between cat and any of the distributions. This is only checked if the ranks cannot be determined statically at graph construction time. allow_nan_stats: Boolean, default `True`. If `False`, raise an exception if a statistic (e.g. mean/mode/etc...) is undefined for any batch member. If `True`, batch members with valid parameters leading to undefined statistics will return NaN for this statistic. use_static_graph: Calls to `sample` will not rely on dynamic tensor indexing, allowing for some static graph compilation optimizations, but at the expense of sampling all underlying distributions in the mixture. (Possibly useful when running on TPUs). Default value: `False` (i.e., use dynamic indexing). name: A name for this distribution (optional). Raises: TypeError: If cat is not a `Categorical`, or `components` is not a list or tuple, or the elements of `components` are not instances of `Distribution`, or do not have matching `dtype`. ValueError: If `components` is an empty list or tuple, or its elements do not have a statically known event rank. If `cat.num_classes` cannot be inferred at graph creation time, or the constant value of `cat.num_classes` is not equal to `len(components)`, or all `components` and `cat` do not have matching static batch shapes, or all components do not have matching static event shapes. """ parameters = dict(locals()) # TODO(b/117098119): Remove tf.distribution references once they're gone. if not isinstance(cat, categorical.Categorical) and not isinstance( cat, tf.distributions.Categorical): raise TypeError("cat must be a Categorical distribution, but saw: %s" % cat) if not components: raise ValueError("components must be a non-empty list or tuple") if not isinstance(components, (list, tuple)): raise TypeError("components must be a list or tuple, but saw: %s" % components) # TODO(b/117098119): Remove tf.distribution references once they're gone. if not all( isinstance(c, distribution.Distribution) or isinstance(cat, tf.distributions.Distribution) for c in components): raise TypeError( "all entries in components must be Distribution instances" " but saw: %s" % components) dtype = components[0].dtype if not all(d.dtype == dtype for d in components): raise TypeError("All components must have the same dtype, but saw " "dtypes: %s" % [(d.name, d.dtype) for d in components]) static_event_shape = components[0].event_shape static_batch_shape = cat.batch_shape for d in components: static_event_shape = static_event_shape.merge_with(d.event_shape) static_batch_shape = static_batch_shape.merge_with(d.batch_shape) if static_event_shape.ndims is None: raise ValueError( "Expected to know rank(event_shape) from components, but " "none of the components provide a static number of ndims") # Ensure that all batch and event ndims are consistent. with tf.name_scope(name, values=[cat.logits]) as name: num_components = cat.event_size static_num_components = tensor_util.constant_value(num_components) if static_num_components is None: raise ValueError( "Could not infer number of classes from cat and unable " "to compare this value to the number of components passed in.") # Possibly convert from numpy 0-D array. static_num_components = int(static_num_components) if static_num_components != len(components): raise ValueError("cat.num_classes != len(components): %d vs. %d" % (static_num_components, len(components))) cat_batch_shape = cat.batch_shape_tensor() cat_batch_rank = tf.size(cat_batch_shape) if validate_args: batch_shapes = [d.batch_shape_tensor() for d in components] batch_ranks = [tf.size(bs) for bs in batch_shapes] check_message = ("components[%d] batch shape must match cat " "batch shape") self._assertions = [ tf.assert_equal( cat_batch_rank, batch_ranks[di], message=check_message % di) for di in range(len(components)) ] self._assertions += [ tf.assert_equal( cat_batch_shape, batch_shapes[di], message=check_message % di) for di in range(len(components)) ] else: self._assertions = [] self._cat = cat self._components = list(components) self._num_components = static_num_components self._static_event_shape = static_event_shape self._static_batch_shape = static_batch_shape self._use_static_graph = use_static_graph if use_static_graph and static_num_components is None: raise ValueError("Number of categories must be known statically when " "`static_sample=True`.") # We let the Mixture distribution access _graph_parents since its arguably # more like a baseclass. graph_parents = self._cat._graph_parents # pylint: disable=protected-access for c in self._components: graph_parents += c._graph_parents # pylint: disable=protected-access super(Mixture, self).__init__( dtype=dtype, reparameterization_type=reparameterization.NOT_REPARAMETERIZED, validate_args=validate_args, allow_nan_stats=allow_nan_stats, parameters=parameters, graph_parents=graph_parents, name=name) @property def cat(self): return self._cat @property def components(self): return self._components @property def num_components(self): return self._num_components def _batch_shape_tensor(self): return self._cat.batch_shape_tensor() def _batch_shape(self): return self._static_batch_shape def _event_shape_tensor(self): return self._components[0].event_shape_tensor() def _event_shape(self): return self._static_event_shape def _expand_to_event_rank(self, x): """Expand the rank of x up to static_event_rank times for broadcasting. The static event rank was checked to not be None at construction time. Args: x: A tensor to expand. Returns: The expanded tensor. """ expanded_x = x for _ in range(self.event_shape.ndims): expanded_x = tf.expand_dims(expanded_x, -1) return expanded_x def _mean(self): with tf.control_dependencies(self._assertions): distribution_means = [d.mean() for d in self.components] cat_probs = self._cat_probs(log_probs=False) cat_probs = [self._expand_to_event_rank(c_p) for c_p in cat_probs] partial_means = [ c_p * m for (c_p, m) in zip(cat_probs, distribution_means) ] # These should all be the same shape by virtue of matching # batch_shape and event_shape. return tf.add_n(partial_means) def _stddev(self): with tf.control_dependencies(self._assertions): distribution_means = [d.mean() for d in self.components] distribution_devs = [d.stddev() for d in self.components] cat_probs = self._cat_probs(log_probs=False) stacked_means = tf.stack(distribution_means, axis=-1) stacked_devs = tf.stack(distribution_devs, axis=-1) cat_probs = [self._expand_to_event_rank(c_p) for c_p in cat_probs] broadcasted_cat_probs = ( tf.stack(cat_probs, axis=-1) * tf.ones_like(stacked_means)) batched_dev = distribution_util.mixture_stddev( tf.reshape(broadcasted_cat_probs, [-1, len(self.components)]), tf.reshape(stacked_means, [-1, len(self.components)]), tf.reshape(stacked_devs, [-1, len(self.components)])) # I.e. re-shape to list(batch_shape) + list(event_shape). return tf.reshape(batched_dev, tf.shape(broadcasted_cat_probs)[:-1]) def _log_prob(self, x): with tf.control_dependencies(self._assertions): x = tf.convert_to_tensor(x, name="x") distribution_log_probs = [d.log_prob(x) for d in self.components] cat_log_probs = self._cat_probs(log_probs=True) final_log_probs = [ cat_lp + d_lp for (cat_lp, d_lp) in zip(cat_log_probs, distribution_log_probs) ] concat_log_probs = tf.stack(final_log_probs, 0) log_sum_exp = tf.reduce_logsumexp(concat_log_probs, [0]) return log_sum_exp def _log_cdf(self, x): with tf.control_dependencies(self._assertions): x = tf.convert_to_tensor(x, name="x") distribution_log_cdfs = [d.log_cdf(x) for d in self.components] cat_log_probs = self._cat_probs(log_probs=True) final_log_cdfs = [ cat_lp + d_lcdf for (cat_lp, d_lcdf) in zip(cat_log_probs, distribution_log_cdfs) ] concatted_log_cdfs = tf.stack(final_log_cdfs, axis=0) mixture_log_cdf = tf.reduce_logsumexp(concatted_log_cdfs, [0]) return mixture_log_cdf def _sample_n(self, n, seed=None): if self._use_static_graph: # This sampling approach is almost the same as the approach used by # `MixtureSameFamily`. The differences are due to having a list of # `Distribution` objects rather than a single object, and maintaining # random seed management that is consistent with the non-static code path. samples = [] cat_samples = self.cat.sample(n, seed=seed) stream = seed_stream.SeedStream(seed, salt="Mixture") for c in range(self.num_components): samples.append(self.components[c].sample(n, seed=stream())) x = tf.stack(samples, -self._static_event_shape.ndims - 1) # [n, B, k, E] npdt = x.dtype.as_numpy_dtype mask = tf.one_hot( indices=cat_samples, # [n, B] depth=self._num_components, # == k on_value=np.ones([], dtype=npdt), off_value=np.zeros([], dtype=npdt)) # [n, B, k] mask = distribution_util.pad_mixture_dimensions( mask, self, self._cat, self._static_event_shape.ndims) # [n, B, k, [1]*e] return tf.reduce_sum( x * mask, axis=-1 - self._static_event_shape.ndims) # [n, B, E] with tf.control_dependencies(self._assertions): n = tf.convert_to_tensor(n, name="n") static_n = tensor_util.constant_value(n) n = int(static_n) if static_n is not None else n cat_samples = self.cat.sample(n, seed=seed) static_samples_shape = cat_samples.shape if static_samples_shape.is_fully_defined(): samples_shape = static_samples_shape.as_list() samples_size = static_samples_shape.num_elements() else: samples_shape = tf.shape(cat_samples) samples_size = tf.size(cat_samples) static_batch_shape = self.batch_shape if static_batch_shape.is_fully_defined(): batch_shape = static_batch_shape.as_list() batch_size = static_batch_shape.num_elements() else: batch_shape = self.batch_shape_tensor() batch_size = tf.reduce_prod(batch_shape) static_event_shape = self.event_shape if static_event_shape.is_fully_defined(): event_shape = np.array(static_event_shape.as_list(), dtype=np.int32) else: event_shape = self.event_shape_tensor() # Get indices into the raw cat sampling tensor. We will # need these to stitch sample values back out after sampling # within the component partitions. samples_raw_indices = tf.reshape(tf.range(0, samples_size), samples_shape) # Partition the raw indices so that we can use # dynamic_stitch later to reconstruct the samples from the # known partitions. partitioned_samples_indices = tf.dynamic_partition( data=samples_raw_indices, partitions=cat_samples, num_partitions=self.num_components) # Copy the batch indices n times, as we will need to know # these to pull out the appropriate rows within the # component partitions. batch_raw_indices = tf.reshape( tf.tile(tf.range(0, batch_size), [n]), samples_shape) # Explanation of the dynamic partitioning below: # batch indices are i.e., [0, 1, 0, 1, 0, 1] # Suppose partitions are: # [1 1 0 0 1 1] # After partitioning, batch indices are cut as: # [batch_indices[x] for x in 2, 3] # [batch_indices[x] for x in 0, 1, 4, 5] # i.e. # [1 1] and [0 0 0 0] # Now we sample n=2 from part 0 and n=4 from part 1. # For part 0 we want samples from batch entries 1, 1 (samples 0, 1), # and for part 1 we want samples from batch entries 0, 0, 0, 0 # (samples 0, 1, 2, 3). partitioned_batch_indices = tf.dynamic_partition( data=batch_raw_indices, partitions=cat_samples, num_partitions=self.num_components) samples_class = [None for _ in range(self.num_components)] stream = seed_stream.SeedStream(seed, salt="Mixture") for c in range(self.num_components): n_class = tf.size(partitioned_samples_indices[c]) samples_class_c = self.components[c].sample( n_class, seed=stream()) # Pull out the correct batch entries from each index. # To do this, we may have to flatten the batch shape. # For sample s, batch element b of component c, we get the # partitioned batch indices from # partitioned_batch_indices[c]; and shift each element by # the sample index. The final lookup can be thought of as # a matrix gather along locations (s, b) in # samples_class_c where the n_class rows correspond to # samples within this component and the batch_size columns # correspond to batch elements within the component. # # Thus the lookup index is # lookup[c, i] = batch_size * s[i] + b[c, i] # for i = 0 ... n_class[c] - 1. lookup_partitioned_batch_indices = ( batch_size * tf.range(n_class) + partitioned_batch_indices[c]) samples_class_c = tf.reshape( samples_class_c, tf.concat([[n_class * batch_size], event_shape], 0)) samples_class_c = tf.gather( samples_class_c, lookup_partitioned_batch_indices, name="samples_class_c_gather") samples_class[c] = samples_class_c # Stitch back together the samples across the components. lhs_flat_ret = tf.dynamic_stitch( indices=partitioned_samples_indices, data=samples_class) # Reshape back to proper sample, batch, and event shape. ret = tf.reshape( lhs_flat_ret, tf.concat( [samples_shape, self.event_shape_tensor()], 0)) ret.set_shape( tf.TensorShape(static_samples_shape).concatenate(self.event_shape)) return ret def entropy_lower_bound(self, name="entropy_lower_bound"): r"""A lower bound on the entropy of this mixture model. The bound below is not always very tight, and its usefulness depends on the mixture probabilities and the components in use. A lower bound is useful for ELBO when the `Mixture` is the variational distribution: \$ \log p(x) >= ELBO = \int q(z) \log p(x, z) dz + H[q] \$ where \$ p \$ is the prior distribution, \$ q \$ is the variational, and \$ H[q] \$ is the entropy of \$ q \$. If there is a lower bound \$ G[q] \$ such that \$ H[q] \geq G[q] \$ then it can be used in place of \$ H[q] \$. For a mixture of distributions \$ q(Z) = \sum_i c_i q_i(Z) \$ with \$ \sum_i c_i = 1 \$, by the concavity of \$ f(x) = -x \log x \$, a simple lower bound is: \$ \begin{align} H[q] & = - \int q(z) \log q(z) dz \\\ & = - \int (\sum_i c_i q_i(z)) \log(\sum_i c_i q_i(z)) dz \\\ & \geq - \sum_i c_i \int q_i(z) \log q_i(z) dz \\\ & = \sum_i c_i H[q_i] \end{align} \$ This is the term we calculate below for \$ G[q] \$. Args: name: A name for this operation (optional). Returns: A lower bound on the Mixture's entropy. """ with self._name_scope(name, values=[self.cat.logits]): with tf.control_dependencies(self._assertions): distribution_entropies = [d.entropy() for d in self.components] cat_probs = self._cat_probs(log_probs=False) partial_entropies = [ c_p * m for (c_p, m) in zip(cat_probs, distribution_entropies) ] # These are all the same shape by virtue of matching batch_shape return tf.add_n(partial_entropies) def _cat_probs(self, log_probs): """Get a list of num_components batchwise probabilities.""" which_softmax = tf.nn.log_softmax if log_probs else tf.nn.softmax cat_probs = which_softmax(self.cat.logits) cat_probs = tf.unstack(cat_probs, num=self.num_components, axis=-1) return cat_probs

41.178862

80

0.666091

from __future__ import absolute_import from __future__ import division from __future__ import print_function import numpy as np import tensorflow as tf from tensorflow_probability.python.distributions import categorical from tensorflow_probability.python.distributions import distribution from tensorflow_probability.python.distributions import seed_stream from tensorflow_probability.python.internal import distribution_util from tensorflow_probability.python.internal import reparameterization from tensorflow.python.framework import tensor_util class Mixture(distribution.Distribution): def __init__(self, cat, components, validate_args=False, allow_nan_stats=True, use_static_graph=False, name="Mixture"): parameters = dict(locals()) if not isinstance(cat, categorical.Categorical) and not isinstance( cat, tf.distributions.Categorical): raise TypeError("cat must be a Categorical distribution, but saw: %s" % cat) if not components: raise ValueError("components must be a non-empty list or tuple") if not isinstance(components, (list, tuple)): raise TypeError("components must be a list or tuple, but saw: %s" % components) # TODO(b/117098119): Remove tf.distribution references once they're gone. if not all( isinstance(c, distribution.Distribution) or isinstance(cat, tf.distributions.Distribution) for c in components): raise TypeError( "all entries in components must be Distribution instances" " but saw: %s" % components) dtype = components[0].dtype if not all(d.dtype == dtype for d in components): raise TypeError("All components must have the same dtype, but saw " "dtypes: %s" % [(d.name, d.dtype) for d in components]) static_event_shape = components[0].event_shape static_batch_shape = cat.batch_shape for d in components: static_event_shape = static_event_shape.merge_with(d.event_shape) static_batch_shape = static_batch_shape.merge_with(d.batch_shape) if static_event_shape.ndims is None: raise ValueError( "Expected to know rank(event_shape) from components, but " "none of the components provide a static number of ndims") with tf.name_scope(name, values=[cat.logits]) as name: num_components = cat.event_size static_num_components = tensor_util.constant_value(num_components) if static_num_components is None: raise ValueError( "Could not infer number of classes from cat and unable " "to compare this value to the number of components passed in.") static_num_components = int(static_num_components) if static_num_components != len(components): raise ValueError("cat.num_classes != len(components): %d vs. %d" % (static_num_components, len(components))) cat_batch_shape = cat.batch_shape_tensor() cat_batch_rank = tf.size(cat_batch_shape) if validate_args: batch_shapes = [d.batch_shape_tensor() for d in components] batch_ranks = [tf.size(bs) for bs in batch_shapes] check_message = ("components[%d] batch shape must match cat " "batch shape") self._assertions = [ tf.assert_equal( cat_batch_rank, batch_ranks[di], message=check_message % di) for di in range(len(components)) ] self._assertions += [ tf.assert_equal( cat_batch_shape, batch_shapes[di], message=check_message % di) for di in range(len(components)) ] else: self._assertions = [] self._cat = cat self._components = list(components) self._num_components = static_num_components self._static_event_shape = static_event_shape self._static_batch_shape = static_batch_shape self._use_static_graph = use_static_graph if use_static_graph and static_num_components is None: raise ValueError("Number of categories must be known statically when " "`static_sample=True`.") graph_parents = self._cat._graph_parents for c in self._components: graph_parents += c._graph_parents super(Mixture, self).__init__( dtype=dtype, reparameterization_type=reparameterization.NOT_REPARAMETERIZED, validate_args=validate_args, allow_nan_stats=allow_nan_stats, parameters=parameters, graph_parents=graph_parents, name=name) @property def cat(self): return self._cat @property def components(self): return self._components @property def num_components(self): return self._num_components def _batch_shape_tensor(self): return self._cat.batch_shape_tensor() def _batch_shape(self): return self._static_batch_shape def _event_shape_tensor(self): return self._components[0].event_shape_tensor() def _event_shape(self): return self._static_event_shape def _expand_to_event_rank(self, x): expanded_x = x for _ in range(self.event_shape.ndims): expanded_x = tf.expand_dims(expanded_x, -1) return expanded_x def _mean(self): with tf.control_dependencies(self._assertions): distribution_means = [d.mean() for d in self.components] cat_probs = self._cat_probs(log_probs=False) cat_probs = [self._expand_to_event_rank(c_p) for c_p in cat_probs] partial_means = [ c_p * m for (c_p, m) in zip(cat_probs, distribution_means) ] return tf.add_n(partial_means) def _stddev(self): with tf.control_dependencies(self._assertions): distribution_means = [d.mean() for d in self.components] distribution_devs = [d.stddev() for d in self.components] cat_probs = self._cat_probs(log_probs=False) stacked_means = tf.stack(distribution_means, axis=-1) stacked_devs = tf.stack(distribution_devs, axis=-1) cat_probs = [self._expand_to_event_rank(c_p) for c_p in cat_probs] broadcasted_cat_probs = ( tf.stack(cat_probs, axis=-1) * tf.ones_like(stacked_means)) batched_dev = distribution_util.mixture_stddev( tf.reshape(broadcasted_cat_probs, [-1, len(self.components)]), tf.reshape(stacked_means, [-1, len(self.components)]), tf.reshape(stacked_devs, [-1, len(self.components)])) return tf.reshape(batched_dev, tf.shape(broadcasted_cat_probs)[:-1]) def _log_prob(self, x): with tf.control_dependencies(self._assertions): x = tf.convert_to_tensor(x, name="x") distribution_log_probs = [d.log_prob(x) for d in self.components] cat_log_probs = self._cat_probs(log_probs=True) final_log_probs = [ cat_lp + d_lp for (cat_lp, d_lp) in zip(cat_log_probs, distribution_log_probs) ] concat_log_probs = tf.stack(final_log_probs, 0) log_sum_exp = tf.reduce_logsumexp(concat_log_probs, [0]) return log_sum_exp def _log_cdf(self, x): with tf.control_dependencies(self._assertions): x = tf.convert_to_tensor(x, name="x") distribution_log_cdfs = [d.log_cdf(x) for d in self.components] cat_log_probs = self._cat_probs(log_probs=True) final_log_cdfs = [ cat_lp + d_lcdf for (cat_lp, d_lcdf) in zip(cat_log_probs, distribution_log_cdfs) ] concatted_log_cdfs = tf.stack(final_log_cdfs, axis=0) mixture_log_cdf = tf.reduce_logsumexp(concatted_log_cdfs, [0]) return mixture_log_cdf def _sample_n(self, n, seed=None): if self._use_static_graph: samples = [] cat_samples = self.cat.sample(n, seed=seed) stream = seed_stream.SeedStream(seed, salt="Mixture") for c in range(self.num_components): samples.append(self.components[c].sample(n, seed=stream())) x = tf.stack(samples, -self._static_event_shape.ndims - 1) npdt = x.dtype.as_numpy_dtype mask = tf.one_hot( indices=cat_samples, depth=self._num_components, on_value=np.ones([], dtype=npdt), off_value=np.zeros([], dtype=npdt)) mask = distribution_util.pad_mixture_dimensions( mask, self, self._cat, self._static_event_shape.ndims) return tf.reduce_sum( x * mask, axis=-1 - self._static_event_shape.ndims) with tf.control_dependencies(self._assertions): n = tf.convert_to_tensor(n, name="n") static_n = tensor_util.constant_value(n) n = int(static_n) if static_n is not None else n cat_samples = self.cat.sample(n, seed=seed) static_samples_shape = cat_samples.shape if static_samples_shape.is_fully_defined(): samples_shape = static_samples_shape.as_list() samples_size = static_samples_shape.num_elements() else: samples_shape = tf.shape(cat_samples) samples_size = tf.size(cat_samples) static_batch_shape = self.batch_shape if static_batch_shape.is_fully_defined(): batch_shape = static_batch_shape.as_list() batch_size = static_batch_shape.num_elements() else: batch_shape = self.batch_shape_tensor() batch_size = tf.reduce_prod(batch_shape) static_event_shape = self.event_shape if static_event_shape.is_fully_defined(): event_shape = np.array(static_event_shape.as_list(), dtype=np.int32) else: event_shape = self.event_shape_tensor() samples_raw_indices = tf.reshape(tf.range(0, samples_size), samples_shape) partitioned_samples_indices = tf.dynamic_partition( data=samples_raw_indices, partitions=cat_samples, num_partitions=self.num_components) batch_raw_indices = tf.reshape( tf.tile(tf.range(0, batch_size), [n]), samples_shape) partitioned_batch_indices = tf.dynamic_partition( data=batch_raw_indices, partitions=cat_samples, num_partitions=self.num_components) samples_class = [None for _ in range(self.num_components)] stream = seed_stream.SeedStream(seed, salt="Mixture") for c in range(self.num_components): n_class = tf.size(partitioned_samples_indices[c]) samples_class_c = self.components[c].sample( n_class, seed=stream()) lookup_partitioned_batch_indices = ( batch_size * tf.range(n_class) + partitioned_batch_indices[c]) samples_class_c = tf.reshape( samples_class_c, tf.concat([[n_class * batch_size], event_shape], 0)) samples_class_c = tf.gather( samples_class_c, lookup_partitioned_batch_indices, name="samples_class_c_gather") samples_class[c] = samples_class_c lhs_flat_ret = tf.dynamic_stitch( indices=partitioned_samples_indices, data=samples_class) ret = tf.reshape( lhs_flat_ret, tf.concat( [samples_shape, self.event_shape_tensor()], 0)) ret.set_shape( tf.TensorShape(static_samples_shape).concatenate(self.event_shape)) return ret def entropy_lower_bound(self, name="entropy_lower_bound"): with self._name_scope(name, values=[self.cat.logits]): with tf.control_dependencies(self._assertions): distribution_entropies = [d.entropy() for d in self.components] cat_probs = self._cat_probs(log_probs=False) partial_entropies = [ c_p * m for (c_p, m) in zip(cat_probs, distribution_entropies) ] return tf.add_n(partial_entropies) def _cat_probs(self, log_probs): which_softmax = tf.nn.log_softmax if log_probs else tf.nn.softmax cat_probs = which_softmax(self.cat.logits) cat_probs = tf.unstack(cat_probs, num=self.num_components, axis=-1) return cat_probs

true

f70da7a4c157cdaccffb4cddb141f3fce3c4578b

3,690

py

Python

tests/selenium/test_scrolling.py

jbampton/dash-table

1e25a1296ccbe0f061cc791e259a3f37ed3fbed9

[ "MIT" ]

null

tests/selenium/test_scrolling.py

jbampton/dash-table

1e25a1296ccbe0f061cc791e259a3f37ed3fbed9

[ "MIT" ]

null

tests/selenium/test_scrolling.py

jbampton/dash-table

1e25a1296ccbe0f061cc791e259a3f37ed3fbed9

[ "MIT" ]

null

import dash import dash.testing.wait as wait from dash_table import DataTable import pandas as pd import pytest from selenium.webdriver.common.keys import Keys df = pd.read_csv("https://raw.githubusercontent.com/plotly/datasets/master/solar.csv") base_props = dict( id="table", columns=[{"name": i, "id": i} for i in df.columns], row_selectable="single", row_deletable=True, data=df.to_dict("records"), editable=True, fixed_rows={"headers": True, "data": 1}, style_cell=dict(width=150), style_table=dict(width=500), ) def get_margin(test): return test.driver.execute_script( "return parseFloat(getComputedStyle(document.querySelector('#table .cell-0-1')).marginLeft);" ) def get_scroll(test): return test.driver.execute_script( "return document.querySelector('#table .dt-table-container__row-1').scrollLeft;" ) def scroll_by(test, value): test.driver.execute_script( "document.querySelector('#table .dt-table-container__row-1').scrollBy({}, 0);".format( value ) ) @pytest.mark.parametrize( "fixed_rows", [dict(fixed_rows=dict(headers=True)), dict(fixed_rows=dict(headers=True, data=1))], ) @pytest.mark.parametrize( "fixed_columns", [ dict(), dict(fixed_columns=dict(headers=True)), dict(fixed_columns=dict(headers=True, data=1)), ], ) @pytest.mark.parametrize( "ops", [dict(), dict(row_selectable="single", row_deletable=True)] ) def test_scrol001_fixed_alignment(test, fixed_rows, fixed_columns, ops): props = {**base_props, **fixed_rows, **fixed_columns, **ops} app = dash.Dash(__name__) app.layout = DataTable(**props) test.start_server(app) target = test.table("table") assert target.is_ready() fixed_width = test.driver.execute_script( "return parseFloat(getComputedStyle(document.querySelector('#table .cell-0-0')).width) || 0;" ) assert -get_margin(test) == fixed_width scroll_by(test, 200) wait.until( lambda: -get_margin(test) == fixed_width + 200, 3, ) scroll_by(test, -200) wait.until( lambda: -get_margin(test) == fixed_width, 3, ) assert test.get_log_errors() == [] @pytest.mark.parametrize( "fixed_rows", [dict(fixed_rows=dict(headers=True)), dict(fixed_rows=dict(headers=True, data=1))], ) @pytest.mark.parametrize( "fixed_columns", [ dict(), dict(fixed_columns=dict(headers=True)), dict(fixed_columns=dict(headers=True, data=1)), ], ) @pytest.mark.parametrize( "ops", [dict(), dict(row_selectable="single", row_deletable=True)] ) def test_scrol002_edit_navigate(test, fixed_rows, fixed_columns, ops): props = {**base_props, **fixed_rows, **fixed_columns, **ops} app = dash.Dash(__name__) app.layout = DataTable(**props) test.start_server(app) target = test.table("table") assert target.is_ready() fixed_width = test.driver.execute_script( "return parseFloat(getComputedStyle(document.querySelector('#table .cell-0-0')).width) || 0;" ) scroll_by(test, 200) # alignment is ok after editing a cell target.cell(0, 3).click() test.send_keys("abc" + Keys.ENTER) wait.until(lambda: target.cell(1, 3).is_selected(), 3) wait.until(lambda: -get_margin(test) == fixed_width + get_scroll(test), 3) # alignment is ok after navigating test.send_keys(Keys.ARROW_DOWN) test.send_keys(Keys.ARROW_RIGHT) wait.until(lambda: target.cell(2, 4).is_selected(), 3) wait.until( lambda: -get_margin(test) == fixed_width + get_scroll(test), 3, ) assert test.get_log_errors() == []

26.73913

101

0.663957

import dash import dash.testing.wait as wait from dash_table import DataTable import pandas as pd import pytest from selenium.webdriver.common.keys import Keys df = pd.read_csv("https://raw.githubusercontent.com/plotly/datasets/master/solar.csv") base_props = dict( id="table", columns=[{"name": i, "id": i} for i in df.columns], row_selectable="single", row_deletable=True, data=df.to_dict("records"), editable=True, fixed_rows={"headers": True, "data": 1}, style_cell=dict(width=150), style_table=dict(width=500), ) def get_margin(test): return test.driver.execute_script( "return parseFloat(getComputedStyle(document.querySelector('#table .cell-0-1')).marginLeft);" ) def get_scroll(test): return test.driver.execute_script( "return document.querySelector('#table .dt-table-container__row-1').scrollLeft;" ) def scroll_by(test, value): test.driver.execute_script( "document.querySelector('#table .dt-table-container__row-1').scrollBy({}, 0);".format( value ) ) @pytest.mark.parametrize( "fixed_rows", [dict(fixed_rows=dict(headers=True)), dict(fixed_rows=dict(headers=True, data=1))], ) @pytest.mark.parametrize( "fixed_columns", [ dict(), dict(fixed_columns=dict(headers=True)), dict(fixed_columns=dict(headers=True, data=1)), ], ) @pytest.mark.parametrize( "ops", [dict(), dict(row_selectable="single", row_deletable=True)] ) def test_scrol001_fixed_alignment(test, fixed_rows, fixed_columns, ops): props = {**base_props, **fixed_rows, **fixed_columns, **ops} app = dash.Dash(__name__) app.layout = DataTable(**props) test.start_server(app) target = test.table("table") assert target.is_ready() fixed_width = test.driver.execute_script( "return parseFloat(getComputedStyle(document.querySelector('#table .cell-0-0')).width) || 0;" ) assert -get_margin(test) == fixed_width scroll_by(test, 200) wait.until( lambda: -get_margin(test) == fixed_width + 200, 3, ) scroll_by(test, -200) wait.until( lambda: -get_margin(test) == fixed_width, 3, ) assert test.get_log_errors() == [] @pytest.mark.parametrize( "fixed_rows", [dict(fixed_rows=dict(headers=True)), dict(fixed_rows=dict(headers=True, data=1))], ) @pytest.mark.parametrize( "fixed_columns", [ dict(), dict(fixed_columns=dict(headers=True)), dict(fixed_columns=dict(headers=True, data=1)), ], ) @pytest.mark.parametrize( "ops", [dict(), dict(row_selectable="single", row_deletable=True)] ) def test_scrol002_edit_navigate(test, fixed_rows, fixed_columns, ops): props = {**base_props, **fixed_rows, **fixed_columns, **ops} app = dash.Dash(__name__) app.layout = DataTable(**props) test.start_server(app) target = test.table("table") assert target.is_ready() fixed_width = test.driver.execute_script( "return parseFloat(getComputedStyle(document.querySelector('#table .cell-0-0')).width) || 0;" ) scroll_by(test, 200) target.cell(0, 3).click() test.send_keys("abc" + Keys.ENTER) wait.until(lambda: target.cell(1, 3).is_selected(), 3) wait.until(lambda: -get_margin(test) == fixed_width + get_scroll(test), 3) test.send_keys(Keys.ARROW_DOWN) test.send_keys(Keys.ARROW_RIGHT) wait.until(lambda: target.cell(2, 4).is_selected(), 3) wait.until( lambda: -get_margin(test) == fixed_width + get_scroll(test), 3, ) assert test.get_log_errors() == []

true

f70da8d03af30456f249aa0bd8107f864cb6503c

860

py

Python

fabfile/france.local.py

cryptobioz/addok

4a6b2e935b144f3672a6ae66c9bdf4c0b321976d

[ "MIT" ]

215

2016-01-29T08:37:56.000Z

2022-03-28T06:28:41.000Z

fabfile/france.local.py

bendathierrycom/addok

07346046ed53993d8e2b66262f52d505f26f5ba9

[ "MIT" ]

487

2016-01-13T10:11:34.000Z

2022-03-31T10:56:24.000Z

fabfile/france.local.py

bendathierrycom/addok

07346046ed53993d8e2b66262f52d505f26f5ba9

[ "MIT" ]

52

2016-01-12T13:10:28.000Z

2022-03-24T15:45:39.000Z

QUERY_PROCESSORS_PYPATHS = [ 'addok.helpers.text.check_query_length', "addok_france.extract_address", "addok_france.clean_query", "addok_france.remove_leading_zeros", ] SEARCH_RESULT_PROCESSORS_PYPATHS = [ "addok.helpers.results.match_housenumber", "addok_france.make_labels", "addok.helpers.results.score_by_importance", "addok.helpers.results.score_by_autocomplete_distance", "addok.helpers.results.score_by_str_distance", "addok.helpers.results.score_by_geo_distance", "addok.helpers.results.adjust_scores", ] PROCESSORS_PYPATHS = [ "addok.helpers.text.tokenize", "addok.helpers.text.normalize", "addok_france.glue_ordinal", "addok_france.fold_ordinal", "addok_france.flag_housenumber", "addok.helpers.text.synonymize", "addok_fr.phonemicize", ] SQLITE_DB_PATH = '/srv/addok/addok.db'

33.076923

59

0.752326

QUERY_PROCESSORS_PYPATHS = [ 'addok.helpers.text.check_query_length', "addok_france.extract_address", "addok_france.clean_query", "addok_france.remove_leading_zeros", ] SEARCH_RESULT_PROCESSORS_PYPATHS = [ "addok.helpers.results.match_housenumber", "addok_france.make_labels", "addok.helpers.results.score_by_importance", "addok.helpers.results.score_by_autocomplete_distance", "addok.helpers.results.score_by_str_distance", "addok.helpers.results.score_by_geo_distance", "addok.helpers.results.adjust_scores", ] PROCESSORS_PYPATHS = [ "addok.helpers.text.tokenize", "addok.helpers.text.normalize", "addok_france.glue_ordinal", "addok_france.fold_ordinal", "addok_france.flag_housenumber", "addok.helpers.text.synonymize", "addok_fr.phonemicize", ] SQLITE_DB_PATH = '/srv/addok/addok.db'

true

f70da9883e7bde35729298c9faac1caca164c89e

418

py

Python

samples/python/54.teams-task-module/models/__init__.py

Aliacf21/BotBuilder-Samples

be48548edafd4efdc074f5a59ef2bb3af735ad9a

[ "MIT" ]

1,998

2019-05-07T06:33:22.000Z

2022-03-31T12:59:15.000Z

samples/python/54.teams-task-module/models/__init__.py

Aliacf21/BotBuilder-Samples

be48548edafd4efdc074f5a59ef2bb3af735ad9a

[ "MIT" ]

1,526

2020-09-05T18:57:14.000Z

2020-12-03T01:45:40.000Z

samples/python/54.teams-task-module/models/__init__.py

stevkan/BotBuilder-Samples

75a21b412d8873906bed3460f7c5f0940a067d58

[ "MIT" ]

2,820

2016-09-21T03:47:43.000Z

2019-05-03T15:12:46.000Z

# Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. from .task_module_ids import TaskModuleIds from .task_module_response_factory import TaskModuleResponseFactory from .task_module_ui_constants import TaskModuleUIConstants from .ui_settings import UISettings __all__ = [ "TaskModuleIds", "TaskModuleResponseFactory", "TaskModuleUIConstants", "UISettings", ]

27.866667

67

0.803828

from .task_module_ids import TaskModuleIds from .task_module_response_factory import TaskModuleResponseFactory from .task_module_ui_constants import TaskModuleUIConstants from .ui_settings import UISettings __all__ = [ "TaskModuleIds", "TaskModuleResponseFactory", "TaskModuleUIConstants", "UISettings", ]

true

f70da99aaeb151784da471888218b15cb30313ac

4,494

py

Python

azure-mgmt-servicefabric/azure/mgmt/servicefabric/models/application_resource.py

JonathanGailliez/azure-sdk-for-python

f0f051bfd27f8ea512aea6fc0c3212ee9ee0029b

[ "MIT" ]

1

2021-09-07T18:36:04.000Z

azure-mgmt-servicefabric/azure/mgmt/servicefabric/models/application_resource.py

JonathanGailliez/azure-sdk-for-python

f0f051bfd27f8ea512aea6fc0c3212ee9ee0029b

[ "MIT" ]

2

2019-10-02T23:37:38.000Z

2020-10-02T01:17:31.000Z

azure-mgmt-servicefabric/azure/mgmt/servicefabric/models/application_resource.py

JonathanGailliez/azure-sdk-for-python

f0f051bfd27f8ea512aea6fc0c3212ee9ee0029b

[ "MIT" ]

1

2020-07-25T20:36:02.000Z

# coding=utf-8 # -------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for # license information. # # Code generated by Microsoft (R) AutoRest Code Generator. # Changes may cause incorrect behavior and will be lost if the code is # regenerated. # -------------------------------------------------------------------------- from .proxy_resource import ProxyResource class ApplicationResource(ProxyResource): """The application resource. Variables are only populated by the server, and will be ignored when sending a request. All required parameters must be populated in order to send to Azure. :ivar id: Azure resource ID. :vartype id: str :ivar name: Azure resource name. :vartype name: str :ivar type: Azure resource type. :vartype type: str :param location: Required. Resource location. :type location: str :param type_version: :type type_version: str :param parameters: :type parameters: list[~azure.mgmt.servicefabric.models.ApplicationParameter] :param upgrade_policy: :type upgrade_policy: ~azure.mgmt.servicefabric.models.ApplicationUpgradePolicy :param minimum_nodes: The minimum number of nodes where Service Fabric will reserve capacity for this application. Note that this does not mean that the services of this application will be placed on all of those nodes. If this property is set to zero, no capacity will be reserved. The value of this property cannot be more than the value of the MaximumNodes property. :type minimum_nodes: long :param maximum_nodes: The maximum number of nodes where Service Fabric will reserve capacity for this application. Note that this does not mean that the services of this application will be placed on all of those nodes. By default, the value of this property is zero and it means that the services can be placed on any node. Default value: 0 . :type maximum_nodes: long :param remove_application_capacity: The version of the application type :type remove_application_capacity: bool :param metrics: :type metrics: list[~azure.mgmt.servicefabric.models.ApplicationMetricDescription] :ivar provisioning_state: The current deployment or provisioning state, which only appears in the response :vartype provisioning_state: str :param type_name: :type type_name: str """ _validation = { 'id': {'readonly': True}, 'name': {'readonly': True}, 'type': {'readonly': True}, 'location': {'required': True}, 'minimum_nodes': {'minimum': 0}, 'maximum_nodes': {'minimum': 0}, 'provisioning_state': {'readonly': True}, } _attribute_map = { 'id': {'key': 'id', 'type': 'str'}, 'name': {'key': 'name', 'type': 'str'}, 'type': {'key': 'type', 'type': 'str'}, 'location': {'key': 'location', 'type': 'str'}, 'type_version': {'key': 'properties.typeVersion', 'type': 'str'}, 'parameters': {'key': 'properties.parameters', 'type': '[ApplicationParameter]'}, 'upgrade_policy': {'key': 'properties.upgradePolicy', 'type': 'ApplicationUpgradePolicy'}, 'minimum_nodes': {'key': 'properties.minimumNodes', 'type': 'long'}, 'maximum_nodes': {'key': 'properties.maximumNodes', 'type': 'long'}, 'remove_application_capacity': {'key': 'properties.removeApplicationCapacity', 'type': 'bool'}, 'metrics': {'key': 'properties.metrics', 'type': '[ApplicationMetricDescription]'}, 'provisioning_state': {'key': 'properties.provisioningState', 'type': 'str'}, 'type_name': {'key': 'properties.typeName', 'type': 'str'}, } def __init__(self, **kwargs): super(ApplicationResource, self).__init__(**kwargs) self.type_version = kwargs.get('type_version', None) self.parameters = kwargs.get('parameters', None) self.upgrade_policy = kwargs.get('upgrade_policy', None) self.minimum_nodes = kwargs.get('minimum_nodes', None) self.maximum_nodes = kwargs.get('maximum_nodes', 0) self.remove_application_capacity = kwargs.get('remove_application_capacity', None) self.metrics = kwargs.get('metrics', None) self.provisioning_state = None self.type_name = kwargs.get('type_name', None)

44.49505

103

0.653761

from .proxy_resource import ProxyResource class ApplicationResource(ProxyResource): _validation = { 'id': {'readonly': True}, 'name': {'readonly': True}, 'type': {'readonly': True}, 'location': {'required': True}, 'minimum_nodes': {'minimum': 0}, 'maximum_nodes': {'minimum': 0}, 'provisioning_state': {'readonly': True}, } _attribute_map = { 'id': {'key': 'id', 'type': 'str'}, 'name': {'key': 'name', 'type': 'str'}, 'type': {'key': 'type', 'type': 'str'}, 'location': {'key': 'location', 'type': 'str'}, 'type_version': {'key': 'properties.typeVersion', 'type': 'str'}, 'parameters': {'key': 'properties.parameters', 'type': '[ApplicationParameter]'}, 'upgrade_policy': {'key': 'properties.upgradePolicy', 'type': 'ApplicationUpgradePolicy'}, 'minimum_nodes': {'key': 'properties.minimumNodes', 'type': 'long'}, 'maximum_nodes': {'key': 'properties.maximumNodes', 'type': 'long'}, 'remove_application_capacity': {'key': 'properties.removeApplicationCapacity', 'type': 'bool'}, 'metrics': {'key': 'properties.metrics', 'type': '[ApplicationMetricDescription]'}, 'provisioning_state': {'key': 'properties.provisioningState', 'type': 'str'}, 'type_name': {'key': 'properties.typeName', 'type': 'str'}, } def __init__(self, **kwargs): super(ApplicationResource, self).__init__(**kwargs) self.type_version = kwargs.get('type_version', None) self.parameters = kwargs.get('parameters', None) self.upgrade_policy = kwargs.get('upgrade_policy', None) self.minimum_nodes = kwargs.get('minimum_nodes', None) self.maximum_nodes = kwargs.get('maximum_nodes', 0) self.remove_application_capacity = kwargs.get('remove_application_capacity', None) self.metrics = kwargs.get('metrics', None) self.provisioning_state = None self.type_name = kwargs.get('type_name', None)

true

f70da9d0ab8c8e17aac85abd7b420df5cbce14f0

32,820

py

Python

front-end/testsuite-python-lib/Python-2.4.3/Lib/test/test_unicode.py

MalloyPower/parsing-python

b2bca5eed07ea2af7a2001cd4f63becdfb0570be

[ "MIT" ]

1

2020-11-26T18:53:46.000Z

front-end/testsuite-python-lib/Python-2.4.3/Lib/test/test_unicode.py

MalloyPower/parsing-python

b2bca5eed07ea2af7a2001cd4f63becdfb0570be

[ "MIT" ]

null

front-end/testsuite-python-lib/Python-2.4.3/Lib/test/test_unicode.py

MalloyPower/parsing-python

b2bca5eed07ea2af7a2001cd4f63becdfb0570be

[ "MIT" ]

1

2019-04-11T11:27:01.000Z

# -*- coding: iso-8859-1 -*- """ Test script for the Unicode implementation. Written by Marc-Andre Lemburg (mal@lemburg.com). (c) Copyright CNRI, All Rights Reserved. NO WARRANTY. """#" import unittest, sys, string, codecs, new from test import test_support, string_tests # Error handling (bad decoder return) def search_function(encoding): def decode1(input, errors="strict"): return 42 # not a tuple def encode1(input, errors="strict"): return 42 # not a tuple def encode2(input, errors="strict"): return (42, 42) # no unicode def decode2(input, errors="strict"): return (42, 42) # no unicode if encoding=="test.unicode1": return (encode1, decode1, None, None) elif encoding=="test.unicode2": return (encode2, decode2, None, None) else: return None codecs.register(search_function) class UnicodeTest( string_tests.CommonTest, string_tests.MixinStrUnicodeUserStringTest, string_tests.MixinStrUnicodeTest, ): type2test = unicode def checkequalnofix(self, result, object, methodname, *args): method = getattr(object, methodname) realresult = method(*args) self.assertEqual(realresult, result) self.assert_(type(realresult) is type(result)) # if the original is returned make sure that # this doesn't happen with subclasses if realresult is object: class usub(unicode): def __repr__(self): return 'usub(%r)' % unicode.__repr__(self) object = usub(object) method = getattr(object, methodname) realresult = method(*args) self.assertEqual(realresult, result) self.assert_(object is not realresult) def test_literals(self): self.assertEqual(u'\xff', u'\u00ff') self.assertEqual(u'\uffff', u'\U0000ffff') self.assertRaises(UnicodeError, eval, 'u\'\\Ufffffffe\'') self.assertRaises(UnicodeError, eval, 'u\'\\Uffffffff\'') self.assertRaises(UnicodeError, eval, 'u\'\\U%08x\'' % 0x110000) def test_repr(self): if not sys.platform.startswith('java'): # Test basic sanity of repr() self.assertEqual(repr(u'abc'), "u'abc'") self.assertEqual(repr(u'ab\\c'), "u'ab\\\\c'") self.assertEqual(repr(u'ab\\'), "u'ab\\\\'") self.assertEqual(repr(u'\\c'), "u'\\\\c'") self.assertEqual(repr(u'\\'), "u'\\\\'") self.assertEqual(repr(u'\n'), "u'\\n'") self.assertEqual(repr(u'\r'), "u'\\r'") self.assertEqual(repr(u'\t'), "u'\\t'") self.assertEqual(repr(u'\b'), "u'\\x08'") self.assertEqual(repr(u"'\""), """u'\\'"'""") self.assertEqual(repr(u"'\""), """u'\\'"'""") self.assertEqual(repr(u"'"), '''u"'"''') self.assertEqual(repr(u'"'), """u'"'""") latin1repr = ( "u'\\x00\\x01\\x02\\x03\\x04\\x05\\x06\\x07\\x08\\t\\n\\x0b\\x0c\\r" "\\x0e\\x0f\\x10\\x11\\x12\\x13\\x14\\x15\\x16\\x17\\x18\\x19\\x1a" "\\x1b\\x1c\\x1d\\x1e\\x1f !\"#$%&\\'()*+,-./0123456789:;<=>?@ABCDEFGHI" "JKLMNOPQRSTUVWXYZ[\\\\]^_`abcdefghijklmnopqrstuvwxyz{|}~\\x7f" "\\x80\\x81\\x82\\x83\\x84\\x85\\x86\\x87\\x88\\x89\\x8a\\x8b\\x8c\\x8d" "\\x8e\\x8f\\x90\\x91\\x92\\x93\\x94\\x95\\x96\\x97\\x98\\x99\\x9a\\x9b" "\\x9c\\x9d\\x9e\\x9f\\xa0\\xa1\\xa2\\xa3\\xa4\\xa5\\xa6\\xa7\\xa8\\xa9" "\\xaa\\xab\\xac\\xad\\xae\\xaf\\xb0\\xb1\\xb2\\xb3\\xb4\\xb5\\xb6\\xb7" "\\xb8\\xb9\\xba\\xbb\\xbc\\xbd\\xbe\\xbf\\xc0\\xc1\\xc2\\xc3\\xc4\\xc5" "\\xc6\\xc7\\xc8\\xc9\\xca\\xcb\\xcc\\xcd\\xce\\xcf\\xd0\\xd1\\xd2\\xd3" "\\xd4\\xd5\\xd6\\xd7\\xd8\\xd9\\xda\\xdb\\xdc\\xdd\\xde\\xdf\\xe0\\xe1" "\\xe2\\xe3\\xe4\\xe5\\xe6\\xe7\\xe8\\xe9\\xea\\xeb\\xec\\xed\\xee\\xef" "\\xf0\\xf1\\xf2\\xf3\\xf4\\xf5\\xf6\\xf7\\xf8\\xf9\\xfa\\xfb\\xfc\\xfd" "\\xfe\\xff'") testrepr = repr(u''.join(map(unichr, xrange(256)))) self.assertEqual(testrepr, latin1repr) def test_count(self): string_tests.CommonTest.test_count(self) # check mixed argument types self.checkequalnofix(3, 'aaa', 'count', u'a') self.checkequalnofix(0, 'aaa', 'count', u'b') self.checkequalnofix(3, u'aaa', 'count', 'a') self.checkequalnofix(0, u'aaa', 'count', 'b') self.checkequalnofix(0, u'aaa', 'count', 'b') self.checkequalnofix(1, u'aaa', 'count', 'a', -1) self.checkequalnofix(3, u'aaa', 'count', 'a', -10) self.checkequalnofix(2, u'aaa', 'count', 'a', 0, -1) self.checkequalnofix(0, u'aaa', 'count', 'a', 0, -10) def test_find(self): self.checkequalnofix(0, u'abcdefghiabc', 'find', u'abc') self.checkequalnofix(9, u'abcdefghiabc', 'find', u'abc', 1) self.checkequalnofix(-1, u'abcdefghiabc', 'find', u'def', 4) self.assertRaises(TypeError, u'hello'.find) self.assertRaises(TypeError, u'hello'.find, 42) def test_rfind(self): string_tests.CommonTest.test_rfind(self) # check mixed argument types self.checkequalnofix(9, 'abcdefghiabc', 'rfind', u'abc') self.checkequalnofix(12, 'abcdefghiabc', 'rfind', u'') self.checkequalnofix(12, u'abcdefghiabc', 'rfind', '') def test_index(self): string_tests.CommonTest.test_index(self) # check mixed argument types for (t1, t2) in ((str, unicode), (unicode, str)): self.checkequalnofix(0, t1('abcdefghiabc'), 'index', t2('')) self.checkequalnofix(3, t1('abcdefghiabc'), 'index', t2('def')) self.checkequalnofix(0, t1('abcdefghiabc'), 'index', t2('abc')) self.checkequalnofix(9, t1('abcdefghiabc'), 'index', t2('abc'), 1) self.assertRaises(ValueError, t1('abcdefghiabc').index, t2('hib')) self.assertRaises(ValueError, t1('abcdefghiab').index, t2('abc'), 1) self.assertRaises(ValueError, t1('abcdefghi').index, t2('ghi'), 8) self.assertRaises(ValueError, t1('abcdefghi').index, t2('ghi'), -1) def test_rindex(self): string_tests.CommonTest.test_rindex(self) # check mixed argument types for (t1, t2) in ((str, unicode), (unicode, str)): self.checkequalnofix(12, t1('abcdefghiabc'), 'rindex', t2('')) self.checkequalnofix(3, t1('abcdefghiabc'), 'rindex', t2('def')) self.checkequalnofix(9, t1('abcdefghiabc'), 'rindex', t2('abc')) self.checkequalnofix(0, t1('abcdefghiabc'), 'rindex', t2('abc'), 0, -1) self.assertRaises(ValueError, t1('abcdefghiabc').rindex, t2('hib')) self.assertRaises(ValueError, t1('defghiabc').rindex, t2('def'), 1) self.assertRaises(ValueError, t1('defghiabc').rindex, t2('abc'), 0, -1) self.assertRaises(ValueError, t1('abcdefghi').rindex, t2('ghi'), 0, 8) self.assertRaises(ValueError, t1('abcdefghi').rindex, t2('ghi'), 0, -1) def test_translate(self): self.checkequalnofix(u'bbbc', u'abababc', 'translate', {ord('a'):None}) self.checkequalnofix(u'iiic', u'abababc', 'translate', {ord('a'):None, ord('b'):ord('i')}) self.checkequalnofix(u'iiix', u'abababc', 'translate', {ord('a'):None, ord('b'):ord('i'), ord('c'):u'x'}) self.checkequalnofix(u'<i><i><i>c', u'abababc', 'translate', {ord('a'):None, ord('b'):u'<i>'}) self.checkequalnofix(u'c', u'abababc', 'translate', {ord('a'):None, ord('b'):u''}) self.checkequalnofix(u'xyyx', u'xzx', 'translate', {ord('z'):u'yy'}) self.assertRaises(TypeError, u'hello'.translate) self.assertRaises(TypeError, u'abababc'.translate, {ord('a'):''}) def test_split(self): string_tests.CommonTest.test_split(self) # Mixed arguments self.checkequalnofix([u'a', u'b', u'c', u'd'], u'a//b//c//d', 'split', '//') self.checkequalnofix([u'a', u'b', u'c', u'd'], 'a//b//c//d', 'split', u'//') self.checkequalnofix([u'endcase ', u''], u'endcase test', 'split', 'test') def test_join(self): string_tests.MixinStrUnicodeUserStringTest.test_join(self) # mixed arguments self.checkequalnofix(u'a b c d', u' ', 'join', ['a', 'b', u'c', u'd']) self.checkequalnofix(u'abcd', u'', 'join', (u'a', u'b', u'c', u'd')) self.checkequalnofix(u'w x y z', u' ', 'join', string_tests.Sequence('wxyz')) self.checkequalnofix(u'a b c d', ' ', 'join', [u'a', u'b', u'c', u'd']) self.checkequalnofix(u'a b c d', ' ', 'join', ['a', 'b', u'c', u'd']) self.checkequalnofix(u'abcd', '', 'join', (u'a', u'b', u'c', u'd')) self.checkequalnofix(u'w x y z', ' ', 'join', string_tests.Sequence(u'wxyz')) def test_strip(self): string_tests.CommonTest.test_strip(self) self.assertRaises(UnicodeError, u"hello".strip, "\xff") def test_replace(self): string_tests.CommonTest.test_replace(self) # method call forwarded from str implementation because of unicode argument self.checkequalnofix(u'one@two!three!', 'one!two!three!', 'replace', u'!', u'@', 1) self.assertRaises(TypeError, 'replace'.replace, u"r", 42) def test_comparison(self): # Comparisons: self.assertEqual(u'abc', 'abc') self.assertEqual('abc', u'abc') self.assertEqual(u'abc', u'abc') self.assert_(u'abcd' > 'abc') self.assert_('abcd' > u'abc') self.assert_(u'abcd' > u'abc') self.assert_(u'abc' < 'abcd') self.assert_('abc' < u'abcd') self.assert_(u'abc' < u'abcd') if 0: # Move these tests to a Unicode collation module test... # Testing UTF-16 code point order comparisons... # No surrogates, no fixup required. self.assert_(u'\u0061' < u'\u20ac') # Non surrogate below surrogate value, no fixup required self.assert_(u'\u0061' < u'\ud800\udc02') # Non surrogate above surrogate value, fixup required def test_lecmp(s, s2): self.assert_(s < s2) def test_fixup(s): s2 = u'\ud800\udc01' test_lecmp(s, s2) s2 = u'\ud900\udc01' test_lecmp(s, s2) s2 = u'\uda00\udc01' test_lecmp(s, s2) s2 = u'\udb00\udc01' test_lecmp(s, s2) s2 = u'\ud800\udd01' test_lecmp(s, s2) s2 = u'\ud900\udd01' test_lecmp(s, s2) s2 = u'\uda00\udd01' test_lecmp(s, s2) s2 = u'\udb00\udd01' test_lecmp(s, s2) s2 = u'\ud800\ude01' test_lecmp(s, s2) s2 = u'\ud900\ude01' test_lecmp(s, s2) s2 = u'\uda00\ude01' test_lecmp(s, s2) s2 = u'\udb00\ude01' test_lecmp(s, s2) s2 = u'\ud800\udfff' test_lecmp(s, s2) s2 = u'\ud900\udfff' test_lecmp(s, s2) s2 = u'\uda00\udfff' test_lecmp(s, s2) s2 = u'\udb00\udfff' test_lecmp(s, s2) test_fixup(u'\ue000') test_fixup(u'\uff61') # Surrogates on both sides, no fixup required self.assert_(u'\ud800\udc02' < u'\ud84d\udc56') def test_islower(self): string_tests.MixinStrUnicodeUserStringTest.test_islower(self) self.checkequalnofix(False, u'\u1FFc', 'islower') def test_isupper(self): string_tests.MixinStrUnicodeUserStringTest.test_isupper(self) if not sys.platform.startswith('java'): self.checkequalnofix(False, u'\u1FFc', 'isupper') def test_istitle(self): string_tests.MixinStrUnicodeUserStringTest.test_title(self) self.checkequalnofix(True, u'\u1FFc', 'istitle') self.checkequalnofix(True, u'Greek \u1FFcitlecases ...', 'istitle') def test_isspace(self): string_tests.MixinStrUnicodeUserStringTest.test_isspace(self) self.checkequalnofix(True, u'\u2000', 'isspace') self.checkequalnofix(True, u'\u200a', 'isspace') self.checkequalnofix(False, u'\u2014', 'isspace') def test_isalpha(self): string_tests.MixinStrUnicodeUserStringTest.test_isalpha(self) self.checkequalnofix(True, u'\u1FFc', 'isalpha') def test_isdecimal(self): self.checkequalnofix(False, u'', 'isdecimal') self.checkequalnofix(False, u'a', 'isdecimal') self.checkequalnofix(True, u'0', 'isdecimal') self.checkequalnofix(False, u'\u2460', 'isdecimal') # CIRCLED DIGIT ONE self.checkequalnofix(False, u'\xbc', 'isdecimal') # VULGAR FRACTION ONE QUARTER self.checkequalnofix(True, u'\u0660', 'isdecimal') # ARABIC-INDIC DIGIT ZERO self.checkequalnofix(True, u'0123456789', 'isdecimal') self.checkequalnofix(False, u'0123456789a', 'isdecimal') self.checkraises(TypeError, 'abc', 'isdecimal', 42) def test_isdigit(self): string_tests.MixinStrUnicodeUserStringTest.test_isdigit(self) self.checkequalnofix(True, u'\u2460', 'isdigit') self.checkequalnofix(False, u'\xbc', 'isdigit') self.checkequalnofix(True, u'\u0660', 'isdigit') def test_isnumeric(self): self.checkequalnofix(False, u'', 'isnumeric') self.checkequalnofix(False, u'a', 'isnumeric') self.checkequalnofix(True, u'0', 'isnumeric') self.checkequalnofix(True, u'\u2460', 'isnumeric') self.checkequalnofix(True, u'\xbc', 'isnumeric') self.checkequalnofix(True, u'\u0660', 'isnumeric') self.checkequalnofix(True, u'0123456789', 'isnumeric') self.checkequalnofix(False, u'0123456789a', 'isnumeric') self.assertRaises(TypeError, u"abc".isnumeric, 42) def test_contains(self): # Testing Unicode contains method self.assert_('a' in u'abdb') self.assert_('a' in u'bdab') self.assert_('a' in u'bdaba') self.assert_('a' in u'bdba') self.assert_('a' in u'bdba') self.assert_(u'a' in u'bdba') self.assert_(u'a' not in u'bdb') self.assert_(u'a' not in 'bdb') self.assert_(u'a' in 'bdba') self.assert_(u'a' in ('a',1,None)) self.assert_(u'a' in (1,None,'a')) self.assert_(u'a' in (1,None,u'a')) self.assert_('a' in ('a',1,None)) self.assert_('a' in (1,None,'a')) self.assert_('a' in (1,None,u'a')) self.assert_('a' not in ('x',1,u'y')) self.assert_('a' not in ('x',1,None)) self.assert_(u'abcd' not in u'abcxxxx') self.assert_(u'ab' in u'abcd') self.assert_('ab' in u'abc') self.assert_(u'ab' in 'abc') self.assert_(u'ab' in (1,None,u'ab')) self.assert_(u'' in u'abc') self.assert_('' in u'abc') # If the following fails either # the contains operator does not propagate UnicodeErrors or # someone has changed the default encoding self.assertRaises(UnicodeError, 'g\xe2teau'.__contains__, u'\xe2') self.assert_(u'' in '') self.assert_('' in u'') self.assert_(u'' in u'') self.assert_(u'' in 'abc') self.assert_('' in u'abc') self.assert_(u'' in u'abc') self.assert_(u'\0' not in 'abc') self.assert_('\0' not in u'abc') self.assert_(u'\0' not in u'abc') self.assert_(u'\0' in '\0abc') self.assert_('\0' in u'\0abc') self.assert_(u'\0' in u'\0abc') self.assert_(u'\0' in 'abc\0') self.assert_('\0' in u'abc\0') self.assert_(u'\0' in u'abc\0') self.assert_(u'a' in '\0abc') self.assert_('a' in u'\0abc') self.assert_(u'a' in u'\0abc') self.assert_(u'asdf' in 'asdf') self.assert_('asdf' in u'asdf') self.assert_(u'asdf' in u'asdf') self.assert_(u'asdf' not in 'asd') self.assert_('asdf' not in u'asd') self.assert_(u'asdf' not in u'asd') self.assert_(u'asdf' not in '') self.assert_('asdf' not in u'') self.assert_(u'asdf' not in u'') self.assertRaises(TypeError, u"abc".__contains__) def test_formatting(self): string_tests.MixinStrUnicodeUserStringTest.test_formatting(self) # Testing Unicode formatting strings... self.assertEqual(u"%s, %s" % (u"abc", "abc"), u'abc, abc') self.assertEqual(u"%s, %s, %i, %f, %5.2f" % (u"abc", "abc", 1, 2, 3), u'abc, abc, 1, 2.000000, 3.00') self.assertEqual(u"%s, %s, %i, %f, %5.2f" % (u"abc", "abc", 1, -2, 3), u'abc, abc, 1, -2.000000, 3.00') self.assertEqual(u"%s, %s, %i, %f, %5.2f" % (u"abc", "abc", -1, -2, 3.5), u'abc, abc, -1, -2.000000, 3.50') self.assertEqual(u"%s, %s, %i, %f, %5.2f" % (u"abc", "abc", -1, -2, 3.57), u'abc, abc, -1, -2.000000, 3.57') self.assertEqual(u"%s, %s, %i, %f, %5.2f" % (u"abc", "abc", -1, -2, 1003.57), u'abc, abc, -1, -2.000000, 1003.57') if not sys.platform.startswith('java'): self.assertEqual(u"%r, %r" % (u"abc", "abc"), u"u'abc', 'abc'") self.assertEqual(u"%(x)s, %(y)s" % {'x':u"abc", 'y':"def"}, u'abc, def') self.assertEqual(u"%(x)s, %(\xfc)s" % {'x':u"abc", u'\xfc':"def"}, u'abc, def') self.assertEqual(u'%c' % 0x1234, u'\u1234') self.assertRaises(OverflowError, u"%c".__mod__, (sys.maxunicode+1,)) # formatting jobs delegated from the string implementation: self.assertEqual('...%(foo)s...' % {'foo':u"abc"}, u'...abc...') self.assertEqual('...%(foo)s...' % {'foo':"abc"}, '...abc...') self.assertEqual('...%(foo)s...' % {u'foo':"abc"}, '...abc...') self.assertEqual('...%(foo)s...' % {u'foo':u"abc"}, u'...abc...') self.assertEqual('...%(foo)s...' % {u'foo':u"abc",'def':123}, u'...abc...') self.assertEqual('...%(foo)s...' % {u'foo':u"abc",u'def':123}, u'...abc...') self.assertEqual('...%s...%s...%s...%s...' % (1,2,3,u"abc"), u'...1...2...3...abc...') self.assertEqual('...%%...%%s...%s...%s...%s...%s...' % (1,2,3,u"abc"), u'...%...%s...1...2...3...abc...') self.assertEqual('...%s...' % u"abc", u'...abc...') self.assertEqual('%*s' % (5,u'abc',), u' abc') self.assertEqual('%*s' % (-5,u'abc',), u'abc ') self.assertEqual('%*.*s' % (5,2,u'abc',), u' ab') self.assertEqual('%*.*s' % (5,3,u'abc',), u' abc') self.assertEqual('%i %*.*s' % (10, 5,3,u'abc',), u'10 abc') self.assertEqual('%i%s %*.*s' % (10, 3, 5, 3, u'abc',), u'103 abc') self.assertEqual('%c' % u'a', u'a') def test_format_float(self): try: import locale orig_locale = locale.setlocale(locale.LC_ALL) locale.setlocale(locale.LC_ALL, 'de_DE') except (ImportError, locale.Error): return # skip if we can't set locale try: # should not format with a comma, but always with C locale self.assertEqual(u'1.0', u'%.1f' % 1.0) finally: locale.setlocale(locale.LC_ALL, orig_locale) def test_constructor(self): # unicode(obj) tests (this maps to PyObject_Unicode() at C level) self.assertEqual( unicode(u'unicode remains unicode'), u'unicode remains unicode' ) class UnicodeSubclass(unicode): pass self.assertEqual( unicode(UnicodeSubclass('unicode subclass becomes unicode')), u'unicode subclass becomes unicode' ) self.assertEqual( unicode('strings are converted to unicode'), u'strings are converted to unicode' ) class UnicodeCompat: def __init__(self, x): self.x = x def __unicode__(self): return self.x self.assertEqual( unicode(UnicodeCompat('__unicode__ compatible objects are recognized')), u'__unicode__ compatible objects are recognized') class StringCompat: def __init__(self, x): self.x = x def __str__(self): return self.x self.assertEqual( unicode(StringCompat('__str__ compatible objects are recognized')), u'__str__ compatible objects are recognized' ) # unicode(obj) is compatible to str(): o = StringCompat('unicode(obj) is compatible to str()') self.assertEqual(unicode(o), u'unicode(obj) is compatible to str()') self.assertEqual(str(o), 'unicode(obj) is compatible to str()') # %-formatting and .__unicode__() self.assertEqual(u'%s' % UnicodeCompat(u"u'%s' % obj uses obj.__unicode__()"), u"u'%s' % obj uses obj.__unicode__()") self.assertEqual(u'%s' % UnicodeCompat(u"u'%s' % obj falls back to obj.__str__()"), u"u'%s' % obj falls back to obj.__str__()") for obj in (123, 123.45, 123L): self.assertEqual(unicode(obj), unicode(str(obj))) # unicode(obj, encoding, error) tests (this maps to # PyUnicode_FromEncodedObject() at C level) if not sys.platform.startswith('java'): self.assertRaises( TypeError, unicode, u'decoding unicode is not supported', 'utf-8', 'strict' ) self.assertEqual( unicode('strings are decoded to unicode', 'utf-8', 'strict'), u'strings are decoded to unicode' ) if not sys.platform.startswith('java'): self.assertEqual( unicode( buffer('character buffers are decoded to unicode'), 'utf-8', 'strict' ), u'character buffers are decoded to unicode' ) self.assertRaises(TypeError, unicode, 42, 42, 42) def test_codecs_utf7(self): utfTests = [ (u'A\u2262\u0391.', 'A+ImIDkQ.'), # RFC2152 example (u'Hi Mom -\u263a-!', 'Hi Mom -+Jjo--!'), # RFC2152 example (u'\u65E5\u672C\u8A9E', '+ZeVnLIqe-'), # RFC2152 example (u'Item 3 is \u00a31.', 'Item 3 is +AKM-1.'), # RFC2152 example (u'+', '+-'), (u'+-', '+--'), (u'+?', '+-?'), (u'\?', '+AFw?'), (u'+?', '+-?'), (ur'\\?', '+AFwAXA?'), (ur'\\\?', '+AFwAXABc?'), (ur'++--', '+-+---') ] for (x, y) in utfTests: self.assertEqual(x.encode('utf-7'), y) # surrogates not supported self.assertRaises(UnicodeError, unicode, '+3ADYAA-', 'utf-7') self.assertEqual(unicode('+3ADYAA-', 'utf-7', 'replace'), u'\ufffd') def test_codecs_utf8(self): self.assertEqual(u''.encode('utf-8'), '') self.assertEqual(u'\u20ac'.encode('utf-8'), '\xe2\x82\xac') self.assertEqual(u'\ud800\udc02'.encode('utf-8'), '\xf0\x90\x80\x82') self.assertEqual(u'\ud84d\udc56'.encode('utf-8'), '\xf0\xa3\x91\x96') self.assertEqual(u'\ud800'.encode('utf-8'), '\xed\xa0\x80') self.assertEqual(u'\udc00'.encode('utf-8'), '\xed\xb0\x80') self.assertEqual( (u'\ud800\udc02'*1000).encode('utf-8'), '\xf0\x90\x80\x82'*1000 ) self.assertEqual( u'\u6b63\u78ba\u306b\u8a00\u3046\u3068\u7ffb\u8a33\u306f' u'\u3055\u308c\u3066\u3044\u307e\u305b\u3093\u3002\u4e00' u'\u90e8\u306f\u30c9\u30a4\u30c4\u8a9e\u3067\u3059\u304c' u'\u3001\u3042\u3068\u306f\u3067\u305f\u3089\u3081\u3067' u'\u3059\u3002\u5b9f\u969b\u306b\u306f\u300cWenn ist das' u' Nunstuck git und'.encode('utf-8'), '\xe6\xad\xa3\xe7\xa2\xba\xe3\x81\xab\xe8\xa8\x80\xe3\x81' '\x86\xe3\x81\xa8\xe7\xbf\xbb\xe8\xa8\xb3\xe3\x81\xaf\xe3' '\x81\x95\xe3\x82\x8c\xe3\x81\xa6\xe3\x81\x84\xe3\x81\xbe' '\xe3\x81\x9b\xe3\x82\x93\xe3\x80\x82\xe4\xb8\x80\xe9\x83' '\xa8\xe3\x81\xaf\xe3\x83\x89\xe3\x82\xa4\xe3\x83\x84\xe8' '\xaa\x9e\xe3\x81\xa7\xe3\x81\x99\xe3\x81\x8c\xe3\x80\x81' '\xe3\x81\x82\xe3\x81\xa8\xe3\x81\xaf\xe3\x81\xa7\xe3\x81' '\x9f\xe3\x82\x89\xe3\x82\x81\xe3\x81\xa7\xe3\x81\x99\xe3' '\x80\x82\xe5\xae\x9f\xe9\x9a\x9b\xe3\x81\xab\xe3\x81\xaf' '\xe3\x80\x8cWenn ist das Nunstuck git und' ) # UTF-8 specific decoding tests self.assertEqual(unicode('\xf0\xa3\x91\x96', 'utf-8'), u'\U00023456' ) self.assertEqual(unicode('\xf0\x90\x80\x82', 'utf-8'), u'\U00010002' ) self.assertEqual(unicode('\xe2\x82\xac', 'utf-8'), u'\u20ac' ) # Other possible utf-8 test cases: # * strict decoding testing for all of the # UTF8_ERROR cases in PyUnicode_DecodeUTF8 def test_codecs_idna(self): # Test whether trailing dot is preserved self.assertEqual(u"www.python.org.".encode("idna"), "www.python.org.") def test_codecs_errors(self): # Error handling (encoding) self.assertRaises(UnicodeError, u'Andr\202 x'.encode, 'ascii') self.assertRaises(UnicodeError, u'Andr\202 x'.encode, 'ascii','strict') self.assertEqual(u'Andr\202 x'.encode('ascii','ignore'), "Andr x") self.assertEqual(u'Andr\202 x'.encode('ascii','replace'), "Andr? x") # Error handling (decoding) self.assertRaises(UnicodeError, unicode, 'Andr\202 x', 'ascii') self.assertRaises(UnicodeError, unicode, 'Andr\202 x', 'ascii','strict') self.assertEqual(unicode('Andr\202 x','ascii','ignore'), u"Andr x") self.assertEqual(unicode('Andr\202 x','ascii','replace'), u'Andr\uFFFD x') # Error handling (unknown character names) self.assertEqual("\\N{foo}xx".decode("unicode-escape", "ignore"), u"xx") # Error handling (truncated escape sequence) self.assertRaises(UnicodeError, "\\".decode, "unicode-escape") self.assertRaises(TypeError, "hello".decode, "test.unicode1") self.assertRaises(TypeError, unicode, "hello", "test.unicode2") self.assertRaises(TypeError, u"hello".encode, "test.unicode1") self.assertRaises(TypeError, u"hello".encode, "test.unicode2") # executes PyUnicode_Encode() import imp self.assertRaises( ImportError, imp.find_module, "non-existing module", [u"non-existing dir"] ) # Error handling (wrong arguments) self.assertRaises(TypeError, u"hello".encode, 42, 42, 42) # Error handling (PyUnicode_EncodeDecimal()) self.assertRaises(UnicodeError, int, u"\u0200") def test_codecs(self): # Encoding self.assertEqual(u'hello'.encode('ascii'), 'hello') self.assertEqual(u'hello'.encode('utf-7'), 'hello') self.assertEqual(u'hello'.encode('utf-8'), 'hello') self.assertEqual(u'hello'.encode('utf8'), 'hello') self.assertEqual(u'hello'.encode('utf-16-le'), 'h\000e\000l\000l\000o\000') self.assertEqual(u'hello'.encode('utf-16-be'), '\000h\000e\000l\000l\000o') self.assertEqual(u'hello'.encode('latin-1'), 'hello') # Roundtrip safety for BMP (just the first 1024 chars) u = u''.join(map(unichr, xrange(1024))) for encoding in ('utf-7', 'utf-8', 'utf-16', 'utf-16-le', 'utf-16-be', 'raw_unicode_escape', 'unicode_escape', 'unicode_internal'): self.assertEqual(unicode(u.encode(encoding),encoding), u) # Roundtrip safety for BMP (just the first 256 chars) u = u''.join(map(unichr, xrange(256))) for encoding in ('latin-1',): self.assertEqual(unicode(u.encode(encoding),encoding), u) # Roundtrip safety for BMP (just the first 128 chars) u = u''.join(map(unichr, xrange(128))) for encoding in ('ascii',): self.assertEqual(unicode(u.encode(encoding),encoding), u) # Roundtrip safety for non-BMP (just a few chars) u = u'\U00010001\U00020002\U00030003\U00040004\U00050005' for encoding in ('utf-8', 'utf-16', 'utf-16-le', 'utf-16-be', #'raw_unicode_escape', 'unicode_escape', 'unicode_internal'): self.assertEqual(unicode(u.encode(encoding),encoding), u) # UTF-8 must be roundtrip safe for all UCS-2 code points # This excludes surrogates: in the full range, there would be # a surrogate pair (\udbff\udc00), which gets converted back # to a non-BMP character (\U0010fc00) u = u''.join(map(unichr, range(0,0xd800)+range(0xe000,0x10000))) for encoding in ('utf-8',): self.assertEqual(unicode(u.encode(encoding),encoding), u) def test_codecs_charmap(self): # 0-127 s = ''.join(map(chr, xrange(128))) for encoding in ( 'cp037', 'cp1026', 'cp437', 'cp500', 'cp737', 'cp775', 'cp850', 'cp852', 'cp855', 'cp860', 'cp861', 'cp862', 'cp863', 'cp865', 'cp866', 'iso8859_10', 'iso8859_13', 'iso8859_14', 'iso8859_15', 'iso8859_2', 'iso8859_3', 'iso8859_4', 'iso8859_5', 'iso8859_6', 'iso8859_7', 'iso8859_9', 'koi8_r', 'latin_1', 'mac_cyrillic', 'mac_latin2', 'cp1250', 'cp1251', 'cp1252', 'cp1253', 'cp1254', 'cp1255', 'cp1256', 'cp1257', 'cp1258', 'cp856', 'cp857', 'cp864', 'cp869', 'cp874', 'mac_greek', 'mac_iceland','mac_roman', 'mac_turkish', 'cp1006', 'iso8859_8', ### These have undefined mappings: #'cp424', ### These fail the round-trip: #'cp875' ): self.assertEqual(unicode(s, encoding).encode(encoding), s) # 128-255 s = ''.join(map(chr, xrange(128, 256))) for encoding in ( 'cp037', 'cp1026', 'cp437', 'cp500', 'cp737', 'cp775', 'cp850', 'cp852', 'cp855', 'cp860', 'cp861', 'cp862', 'cp863', 'cp865', 'cp866', 'iso8859_10', 'iso8859_13', 'iso8859_14', 'iso8859_15', 'iso8859_2', 'iso8859_4', 'iso8859_5', 'iso8859_9', 'koi8_r', 'latin_1', 'mac_cyrillic', 'mac_latin2', ### These have undefined mappings: #'cp1250', 'cp1251', 'cp1252', 'cp1253', 'cp1254', 'cp1255', #'cp1256', 'cp1257', 'cp1258', #'cp424', 'cp856', 'cp857', 'cp864', 'cp869', 'cp874', #'iso8859_3', 'iso8859_6', 'iso8859_7', #'mac_greek', 'mac_iceland','mac_roman', 'mac_turkish', ### These fail the round-trip: #'cp1006', 'cp875', 'iso8859_8', ): self.assertEqual(unicode(s, encoding).encode(encoding), s) def test_concatenation(self): self.assertEqual((u"abc" u"def"), u"abcdef") self.assertEqual(("abc" u"def"), u"abcdef") self.assertEqual((u"abc" "def"), u"abcdef") self.assertEqual((u"abc" u"def" "ghi"), u"abcdefghi") self.assertEqual(("abc" "def" u"ghi"), u"abcdefghi") def test_printing(self): class BitBucket: def write(self, text): pass out = BitBucket() print >>out, u'abc' print >>out, u'abc', u'def' print >>out, u'abc', 'def' print >>out, 'abc', u'def' print >>out, u'abc\n' print >>out, u'abc\n', print >>out, u'abc\n', print >>out, u'def\n' print >>out, u'def\n' def test_ucs4(self): if sys.maxunicode == 0xFFFF: return x = u'\U00100000' y = x.encode("raw-unicode-escape").decode("raw-unicode-escape") self.assertEqual(x, y) def test_unicode_repr(self): class s1: def __repr__(self): return '\\n' class s2: def __repr__(self): return u'\\n' self.assertEqual(repr(s1()), '\\n') self.assertEqual(repr(s2()), '\\n') def test_main(): test_support.run_unittest(UnicodeTest) if __name__ == "__main__": test_main()

43.184211

122

0.55262

""" Test script for the Unicode implementation. Written by Marc-Andre Lemburg (mal@lemburg.com). (c) Copyright CNRI, All Rights Reserved. NO WARRANTY. """ import unittest, sys, string, codecs, new from test import test_support, string_tests # Error handling (bad decoder return) def search_function(encoding): def decode1(input, errors="strict"): return 42 # not a tuple def encode1(input, errors="strict"): return 42 # not a tuple def encode2(input, errors="strict"): return (42, 42) # no unicode def decode2(input, errors="strict"): return (42, 42) # no unicode if encoding=="test.unicode1": return (encode1, decode1, None, None) elif encoding=="test.unicode2": return (encode2, decode2, None, None) else: return None codecs.register(search_function) class UnicodeTest( string_tests.CommonTest, string_tests.MixinStrUnicodeUserStringTest, string_tests.MixinStrUnicodeTest, ): type2test = unicode def checkequalnofix(self, result, object, methodname, *args): method = getattr(object, methodname) realresult = method(*args) self.assertEqual(realresult, result) self.assert_(type(realresult) is type(result)) # if the original is returned make sure that # this doesn't happen with subclasses if realresult is object: class usub(unicode): def __repr__(self): return 'usub(%r)' % unicode.__repr__(self) object = usub(object) method = getattr(object, methodname) realresult = method(*args) self.assertEqual(realresult, result) self.assert_(object is not realresult) def test_literals(self): self.assertEqual(u'\xff', u'\u00ff') self.assertEqual(u'\uffff', u'\U0000ffff') self.assertRaises(UnicodeError, eval, 'u\'\\Ufffffffe\'') self.assertRaises(UnicodeError, eval, 'u\'\\Uffffffff\'') self.assertRaises(UnicodeError, eval, 'u\'\\U%08x\'' % 0x110000) def test_repr(self): if not sys.platform.startswith('java'): # Test basic sanity of repr() self.assertEqual(repr(u'abc'), "u'abc'") self.assertEqual(repr(u'ab\\c'), "u'ab\\\\c'") self.assertEqual(repr(u'ab\\'), "u'ab\\\\'") self.assertEqual(repr(u'\\c'), "u'\\\\c'") self.assertEqual(repr(u'\\'), "u'\\\\'") self.assertEqual(repr(u'\n'), "u'\\n'") self.assertEqual(repr(u'\r'), "u'\\r'") self.assertEqual(repr(u'\t'), "u'\\t'") self.assertEqual(repr(u'\b'), "u'\\x08'") self.assertEqual(repr(u"'\""), """u'\\'"'""") self.assertEqual(repr(u"'\""), """u'\\'"'""") self.assertEqual(repr(u"'"), '''u"'"''') self.assertEqual(repr(u'"'), """u'"'""") latin1repr = ( "u'\\x00\\x01\\x02\\x03\\x04\\x05\\x06\\x07\\x08\\t\\n\\x0b\\x0c\\r" "\\x0e\\x0f\\x10\\x11\\x12\\x13\\x14\\x15\\x16\\x17\\x18\\x19\\x1a" "\\x1b\\x1c\\x1d\\x1e\\x1f !\"#$%&\\'()*+,-./0123456789:;<=>?@ABCDEFGHI" "JKLMNOPQRSTUVWXYZ[\\\\]^_`abcdefghijklmnopqrstuvwxyz{|}~\\x7f" "\\x80\\x81\\x82\\x83\\x84\\x85\\x86\\x87\\x88\\x89\\x8a\\x8b\\x8c\\x8d" "\\x8e\\x8f\\x90\\x91\\x92\\x93\\x94\\x95\\x96\\x97\\x98\\x99\\x9a\\x9b" "\\x9c\\x9d\\x9e\\x9f\\xa0\\xa1\\xa2\\xa3\\xa4\\xa5\\xa6\\xa7\\xa8\\xa9" "\\xaa\\xab\\xac\\xad\\xae\\xaf\\xb0\\xb1\\xb2\\xb3\\xb4\\xb5\\xb6\\xb7" "\\xb8\\xb9\\xba\\xbb\\xbc\\xbd\\xbe\\xbf\\xc0\\xc1\\xc2\\xc3\\xc4\\xc5" "\\xc6\\xc7\\xc8\\xc9\\xca\\xcb\\xcc\\xcd\\xce\\xcf\\xd0\\xd1\\xd2\\xd3" "\\xd4\\xd5\\xd6\\xd7\\xd8\\xd9\\xda\\xdb\\xdc\\xdd\\xde\\xdf\\xe0\\xe1" "\\xe2\\xe3\\xe4\\xe5\\xe6\\xe7\\xe8\\xe9\\xea\\xeb\\xec\\xed\\xee\\xef" "\\xf0\\xf1\\xf2\\xf3\\xf4\\xf5\\xf6\\xf7\\xf8\\xf9\\xfa\\xfb\\xfc\\xfd" "\\xfe\\xff'") testrepr = repr(u''.join(map(unichr, xrange(256)))) self.assertEqual(testrepr, latin1repr) def test_count(self): string_tests.CommonTest.test_count(self) self.checkequalnofix(3, 'aaa', 'count', u'a') self.checkequalnofix(0, 'aaa', 'count', u'b') self.checkequalnofix(3, u'aaa', 'count', 'a') self.checkequalnofix(0, u'aaa', 'count', 'b') self.checkequalnofix(0, u'aaa', 'count', 'b') self.checkequalnofix(1, u'aaa', 'count', 'a', -1) self.checkequalnofix(3, u'aaa', 'count', 'a', -10) self.checkequalnofix(2, u'aaa', 'count', 'a', 0, -1) self.checkequalnofix(0, u'aaa', 'count', 'a', 0, -10) def test_find(self): self.checkequalnofix(0, u'abcdefghiabc', 'find', u'abc') self.checkequalnofix(9, u'abcdefghiabc', 'find', u'abc', 1) self.checkequalnofix(-1, u'abcdefghiabc', 'find', u'def', 4) self.assertRaises(TypeError, u'hello'.find) self.assertRaises(TypeError, u'hello'.find, 42) def test_rfind(self): string_tests.CommonTest.test_rfind(self) self.checkequalnofix(9, 'abcdefghiabc', 'rfind', u'abc') self.checkequalnofix(12, 'abcdefghiabc', 'rfind', u'') self.checkequalnofix(12, u'abcdefghiabc', 'rfind', '') def test_index(self): string_tests.CommonTest.test_index(self) for (t1, t2) in ((str, unicode), (unicode, str)): self.checkequalnofix(0, t1('abcdefghiabc'), 'index', t2('')) self.checkequalnofix(3, t1('abcdefghiabc'), 'index', t2('def')) self.checkequalnofix(0, t1('abcdefghiabc'), 'index', t2('abc')) self.checkequalnofix(9, t1('abcdefghiabc'), 'index', t2('abc'), 1) self.assertRaises(ValueError, t1('abcdefghiabc').index, t2('hib')) self.assertRaises(ValueError, t1('abcdefghiab').index, t2('abc'), 1) self.assertRaises(ValueError, t1('abcdefghi').index, t2('ghi'), 8) self.assertRaises(ValueError, t1('abcdefghi').index, t2('ghi'), -1) def test_rindex(self): string_tests.CommonTest.test_rindex(self) for (t1, t2) in ((str, unicode), (unicode, str)): self.checkequalnofix(12, t1('abcdefghiabc'), 'rindex', t2('')) self.checkequalnofix(3, t1('abcdefghiabc'), 'rindex', t2('def')) self.checkequalnofix(9, t1('abcdefghiabc'), 'rindex', t2('abc')) self.checkequalnofix(0, t1('abcdefghiabc'), 'rindex', t2('abc'), 0, -1) self.assertRaises(ValueError, t1('abcdefghiabc').rindex, t2('hib')) self.assertRaises(ValueError, t1('defghiabc').rindex, t2('def'), 1) self.assertRaises(ValueError, t1('defghiabc').rindex, t2('abc'), 0, -1) self.assertRaises(ValueError, t1('abcdefghi').rindex, t2('ghi'), 0, 8) self.assertRaises(ValueError, t1('abcdefghi').rindex, t2('ghi'), 0, -1) def test_translate(self): self.checkequalnofix(u'bbbc', u'abababc', 'translate', {ord('a'):None}) self.checkequalnofix(u'iiic', u'abababc', 'translate', {ord('a'):None, ord('b'):ord('i')}) self.checkequalnofix(u'iiix', u'abababc', 'translate', {ord('a'):None, ord('b'):ord('i'), ord('c'):u'x'}) self.checkequalnofix(u'<i><i><i>c', u'abababc', 'translate', {ord('a'):None, ord('b'):u'<i>'}) self.checkequalnofix(u'c', u'abababc', 'translate', {ord('a'):None, ord('b'):u''}) self.checkequalnofix(u'xyyx', u'xzx', 'translate', {ord('z'):u'yy'}) self.assertRaises(TypeError, u'hello'.translate) self.assertRaises(TypeError, u'abababc'.translate, {ord('a'):''}) def test_split(self): string_tests.CommonTest.test_split(self) self.checkequalnofix([u'a', u'b', u'c', u'd'], u'a//b//c//d', 'split', '//') self.checkequalnofix([u'a', u'b', u'c', u'd'], 'a//b//c//d', 'split', u'//') self.checkequalnofix([u'endcase ', u''], u'endcase test', 'split', 'test') def test_join(self): string_tests.MixinStrUnicodeUserStringTest.test_join(self) self.checkequalnofix(u'a b c d', u' ', 'join', ['a', 'b', u'c', u'd']) self.checkequalnofix(u'abcd', u'', 'join', (u'a', u'b', u'c', u'd')) self.checkequalnofix(u'w x y z', u' ', 'join', string_tests.Sequence('wxyz')) self.checkequalnofix(u'a b c d', ' ', 'join', [u'a', u'b', u'c', u'd']) self.checkequalnofix(u'a b c d', ' ', 'join', ['a', 'b', u'c', u'd']) self.checkequalnofix(u'abcd', '', 'join', (u'a', u'b', u'c', u'd')) self.checkequalnofix(u'w x y z', ' ', 'join', string_tests.Sequence(u'wxyz')) def test_strip(self): string_tests.CommonTest.test_strip(self) self.assertRaises(UnicodeError, u"hello".strip, "\xff") def test_replace(self): string_tests.CommonTest.test_replace(self) self.checkequalnofix(u'one@two!three!', 'one!two!three!', 'replace', u'!', u'@', 1) self.assertRaises(TypeError, 'replace'.replace, u"r", 42) def test_comparison(self): self.assertEqual(u'abc', 'abc') self.assertEqual('abc', u'abc') self.assertEqual(u'abc', u'abc') self.assert_(u'abcd' > 'abc') self.assert_('abcd' > u'abc') self.assert_(u'abcd' > u'abc') self.assert_(u'abc' < 'abcd') self.assert_('abc' < u'abcd') self.assert_(u'abc' < u'abcd') if 0: self.assert_(u'\u0061' < u'\u20ac') self.assert_(u'\u0061' < u'\ud800\udc02') def test_lecmp(s, s2): self.assert_(s < s2) def test_fixup(s): s2 = u'\ud800\udc01' test_lecmp(s, s2) s2 = u'\ud900\udc01' test_lecmp(s, s2) s2 = u'\uda00\udc01' test_lecmp(s, s2) s2 = u'\udb00\udc01' test_lecmp(s, s2) s2 = u'\ud800\udd01' test_lecmp(s, s2) s2 = u'\ud900\udd01' test_lecmp(s, s2) s2 = u'\uda00\udd01' test_lecmp(s, s2) s2 = u'\udb00\udd01' test_lecmp(s, s2) s2 = u'\ud800\ude01' test_lecmp(s, s2) s2 = u'\ud900\ude01' test_lecmp(s, s2) s2 = u'\uda00\ude01' test_lecmp(s, s2) s2 = u'\udb00\ude01' test_lecmp(s, s2) s2 = u'\ud800\udfff' test_lecmp(s, s2) s2 = u'\ud900\udfff' test_lecmp(s, s2) s2 = u'\uda00\udfff' test_lecmp(s, s2) s2 = u'\udb00\udfff' test_lecmp(s, s2) test_fixup(u'\ue000') test_fixup(u'\uff61') self.assert_(u'\ud800\udc02' < u'\ud84d\udc56') def test_islower(self): string_tests.MixinStrUnicodeUserStringTest.test_islower(self) self.checkequalnofix(False, u'\u1FFc', 'islower') def test_isupper(self): string_tests.MixinStrUnicodeUserStringTest.test_isupper(self) if not sys.platform.startswith('java'): self.checkequalnofix(False, u'\u1FFc', 'isupper') def test_istitle(self): string_tests.MixinStrUnicodeUserStringTest.test_title(self) self.checkequalnofix(True, u'\u1FFc', 'istitle') self.checkequalnofix(True, u'Greek \u1FFcitlecases ...', 'istitle') def test_isspace(self): string_tests.MixinStrUnicodeUserStringTest.test_isspace(self) self.checkequalnofix(True, u'\u2000', 'isspace') self.checkequalnofix(True, u'\u200a', 'isspace') self.checkequalnofix(False, u'\u2014', 'isspace') def test_isalpha(self): string_tests.MixinStrUnicodeUserStringTest.test_isalpha(self) self.checkequalnofix(True, u'\u1FFc', 'isalpha') def test_isdecimal(self): self.checkequalnofix(False, u'', 'isdecimal') self.checkequalnofix(False, u'a', 'isdecimal') self.checkequalnofix(True, u'0', 'isdecimal') self.checkequalnofix(False, u'\u2460', 'isdecimal') self.checkequalnofix(False, u'\xbc', 'isdecimal') self.checkequalnofix(True, u'\u0660', 'isdecimal') self.checkequalnofix(True, u'0123456789', 'isdecimal') self.checkequalnofix(False, u'0123456789a', 'isdecimal') self.checkraises(TypeError, 'abc', 'isdecimal', 42) def test_isdigit(self): string_tests.MixinStrUnicodeUserStringTest.test_isdigit(self) self.checkequalnofix(True, u'\u2460', 'isdigit') self.checkequalnofix(False, u'\xbc', 'isdigit') self.checkequalnofix(True, u'\u0660', 'isdigit') def test_isnumeric(self): self.checkequalnofix(False, u'', 'isnumeric') self.checkequalnofix(False, u'a', 'isnumeric') self.checkequalnofix(True, u'0', 'isnumeric') self.checkequalnofix(True, u'\u2460', 'isnumeric') self.checkequalnofix(True, u'\xbc', 'isnumeric') self.checkequalnofix(True, u'\u0660', 'isnumeric') self.checkequalnofix(True, u'0123456789', 'isnumeric') self.checkequalnofix(False, u'0123456789a', 'isnumeric') self.assertRaises(TypeError, u"abc".isnumeric, 42) def test_contains(self): self.assert_('a' in u'abdb') self.assert_('a' in u'bdab') self.assert_('a' in u'bdaba') self.assert_('a' in u'bdba') self.assert_('a' in u'bdba') self.assert_(u'a' in u'bdba') self.assert_(u'a' not in u'bdb') self.assert_(u'a' not in 'bdb') self.assert_(u'a' in 'bdba') self.assert_(u'a' in ('a',1,None)) self.assert_(u'a' in (1,None,'a')) self.assert_(u'a' in (1,None,u'a')) self.assert_('a' in ('a',1,None)) self.assert_('a' in (1,None,'a')) self.assert_('a' in (1,None,u'a')) self.assert_('a' not in ('x',1,u'y')) self.assert_('a' not in ('x',1,None)) self.assert_(u'abcd' not in u'abcxxxx') self.assert_(u'ab' in u'abcd') self.assert_('ab' in u'abc') self.assert_(u'ab' in 'abc') self.assert_(u'ab' in (1,None,u'ab')) self.assert_(u'' in u'abc') self.assert_('' in u'abc') self.assertRaises(UnicodeError, 'g\xe2teau'.__contains__, u'\xe2') self.assert_(u'' in '') self.assert_('' in u'') self.assert_(u'' in u'') self.assert_(u'' in 'abc') self.assert_('' in u'abc') self.assert_(u'' in u'abc') self.assert_(u'\0' not in 'abc') self.assert_('\0' not in u'abc') self.assert_(u'\0' not in u'abc') self.assert_(u'\0' in '\0abc') self.assert_('\0' in u'\0abc') self.assert_(u'\0' in u'\0abc') self.assert_(u'\0' in 'abc\0') self.assert_('\0' in u'abc\0') self.assert_(u'\0' in u'abc\0') self.assert_(u'a' in '\0abc') self.assert_('a' in u'\0abc') self.assert_(u'a' in u'\0abc') self.assert_(u'asdf' in 'asdf') self.assert_('asdf' in u'asdf') self.assert_(u'asdf' in u'asdf') self.assert_(u'asdf' not in 'asd') self.assert_('asdf' not in u'asd') self.assert_(u'asdf' not in u'asd') self.assert_(u'asdf' not in '') self.assert_('asdf' not in u'') self.assert_(u'asdf' not in u'') self.assertRaises(TypeError, u"abc".__contains__) def test_formatting(self): string_tests.MixinStrUnicodeUserStringTest.test_formatting(self) self.assertEqual(u"%s, %s" % (u"abc", "abc"), u'abc, abc') self.assertEqual(u"%s, %s, %i, %f, %5.2f" % (u"abc", "abc", 1, 2, 3), u'abc, abc, 1, 2.000000, 3.00') self.assertEqual(u"%s, %s, %i, %f, %5.2f" % (u"abc", "abc", 1, -2, 3), u'abc, abc, 1, -2.000000, 3.00') self.assertEqual(u"%s, %s, %i, %f, %5.2f" % (u"abc", "abc", -1, -2, 3.5), u'abc, abc, -1, -2.000000, 3.50') self.assertEqual(u"%s, %s, %i, %f, %5.2f" % (u"abc", "abc", -1, -2, 3.57), u'abc, abc, -1, -2.000000, 3.57') self.assertEqual(u"%s, %s, %i, %f, %5.2f" % (u"abc", "abc", -1, -2, 1003.57), u'abc, abc, -1, -2.000000, 1003.57') if not sys.platform.startswith('java'): self.assertEqual(u"%r, %r" % (u"abc", "abc"), u"u'abc', 'abc'") self.assertEqual(u"%(x)s, %(y)s" % {'x':u"abc", 'y':"def"}, u'abc, def') self.assertEqual(u"%(x)s, %(\xfc)s" % {'x':u"abc", u'\xfc':"def"}, u'abc, def') self.assertEqual(u'%c' % 0x1234, u'\u1234') self.assertRaises(OverflowError, u"%c".__mod__, (sys.maxunicode+1,)) self.assertEqual('...%(foo)s...' % {'foo':u"abc"}, u'...abc...') self.assertEqual('...%(foo)s...' % {'foo':"abc"}, '...abc...') self.assertEqual('...%(foo)s...' % {u'foo':"abc"}, '...abc...') self.assertEqual('...%(foo)s...' % {u'foo':u"abc"}, u'...abc...') self.assertEqual('...%(foo)s...' % {u'foo':u"abc",'def':123}, u'...abc...') self.assertEqual('...%(foo)s...' % {u'foo':u"abc",u'def':123}, u'...abc...') self.assertEqual('...%s...%s...%s...%s...' % (1,2,3,u"abc"), u'...1...2...3...abc...') self.assertEqual('...%%...%%s...%s...%s...%s...%s...' % (1,2,3,u"abc"), u'...%...%s...1...2...3...abc...') self.assertEqual('...%s...' % u"abc", u'...abc...') self.assertEqual('%*s' % (5,u'abc',), u' abc') self.assertEqual('%*s' % (-5,u'abc',), u'abc ') self.assertEqual('%*.*s' % (5,2,u'abc',), u' ab') self.assertEqual('%*.*s' % (5,3,u'abc',), u' abc') self.assertEqual('%i %*.*s' % (10, 5,3,u'abc',), u'10 abc') self.assertEqual('%i%s %*.*s' % (10, 3, 5, 3, u'abc',), u'103 abc') self.assertEqual('%c' % u'a', u'a') def test_format_float(self): try: import locale orig_locale = locale.setlocale(locale.LC_ALL) locale.setlocale(locale.LC_ALL, 'de_DE') except (ImportError, locale.Error): return try: # should not format with a comma, but always with C locale self.assertEqual(u'1.0', u'%.1f' % 1.0) finally: locale.setlocale(locale.LC_ALL, orig_locale) def test_constructor(self): # unicode(obj) tests (this maps to PyObject_Unicode() at C level) self.assertEqual( unicode(u'unicode remains unicode'), u'unicode remains unicode' ) class UnicodeSubclass(unicode): pass self.assertEqual( unicode(UnicodeSubclass('unicode subclass becomes unicode')), u'unicode subclass becomes unicode' ) self.assertEqual( unicode('strings are converted to unicode'), u'strings are converted to unicode' ) class UnicodeCompat: def __init__(self, x): self.x = x def __unicode__(self): return self.x self.assertEqual( unicode(UnicodeCompat('__unicode__ compatible objects are recognized')), u'__unicode__ compatible objects are recognized') class StringCompat: def __init__(self, x): self.x = x def __str__(self): return self.x self.assertEqual( unicode(StringCompat('__str__ compatible objects are recognized')), u'__str__ compatible objects are recognized' ) # unicode(obj) is compatible to str(): o = StringCompat('unicode(obj) is compatible to str()') self.assertEqual(unicode(o), u'unicode(obj) is compatible to str()') self.assertEqual(str(o), 'unicode(obj) is compatible to str()') # %-formatting and .__unicode__() self.assertEqual(u'%s' % UnicodeCompat(u"u'%s' % obj uses obj.__unicode__()"), u"u'%s' % obj uses obj.__unicode__()") self.assertEqual(u'%s' % UnicodeCompat(u"u'%s' % obj falls back to obj.__str__()"), u"u'%s' % obj falls back to obj.__str__()") for obj in (123, 123.45, 123L): self.assertEqual(unicode(obj), unicode(str(obj))) # unicode(obj, encoding, error) tests (this maps to # PyUnicode_FromEncodedObject() at C level) if not sys.platform.startswith('java'): self.assertRaises( TypeError, unicode, u'decoding unicode is not supported', 'utf-8', 'strict' ) self.assertEqual( unicode('strings are decoded to unicode', 'utf-8', 'strict'), u'strings are decoded to unicode' ) if not sys.platform.startswith('java'): self.assertEqual( unicode( buffer('character buffers are decoded to unicode'), 'utf-8', 'strict' ), u'character buffers are decoded to unicode' ) self.assertRaises(TypeError, unicode, 42, 42, 42) def test_codecs_utf7(self): utfTests = [ (u'A\u2262\u0391.', 'A+ImIDkQ.'), # RFC2152 example (u'Hi Mom -\u263a-!', 'Hi Mom -+Jjo--!'), # RFC2152 example (u'\u65E5\u672C\u8A9E', '+ZeVnLIqe-'), # RFC2152 example (u'Item 3 is \u00a31.', 'Item 3 is +AKM-1.'), # RFC2152 example (u'+', '+-'), (u'+-', '+--'), (u'+?', '+-?'), (u'\?', '+AFw?'), (u'+?', '+-?'), (ur'\\?', '+AFwAXA?'), (ur'\\\?', '+AFwAXABc?'), (ur'++--', '+-+---') ] for (x, y) in utfTests: self.assertEqual(x.encode('utf-7'), y) # surrogates not supported self.assertRaises(UnicodeError, unicode, '+3ADYAA-', 'utf-7') self.assertEqual(unicode('+3ADYAA-', 'utf-7', 'replace'), u'\ufffd') def test_codecs_utf8(self): self.assertEqual(u''.encode('utf-8'), '') self.assertEqual(u'\u20ac'.encode('utf-8'), '\xe2\x82\xac') self.assertEqual(u'\ud800\udc02'.encode('utf-8'), '\xf0\x90\x80\x82') self.assertEqual(u'\ud84d\udc56'.encode('utf-8'), '\xf0\xa3\x91\x96') self.assertEqual(u'\ud800'.encode('utf-8'), '\xed\xa0\x80') self.assertEqual(u'\udc00'.encode('utf-8'), '\xed\xb0\x80') self.assertEqual( (u'\ud800\udc02'*1000).encode('utf-8'), '\xf0\x90\x80\x82'*1000 ) self.assertEqual( u'\u6b63\u78ba\u306b\u8a00\u3046\u3068\u7ffb\u8a33\u306f' u'\u3055\u308c\u3066\u3044\u307e\u305b\u3093\u3002\u4e00' u'\u90e8\u306f\u30c9\u30a4\u30c4\u8a9e\u3067\u3059\u304c' u'\u3001\u3042\u3068\u306f\u3067\u305f\u3089\u3081\u3067' u'\u3059\u3002\u5b9f\u969b\u306b\u306f\u300cWenn ist das' u' Nunstuck git und'.encode('utf-8'), '\xe6\xad\xa3\xe7\xa2\xba\xe3\x81\xab\xe8\xa8\x80\xe3\x81' '\x86\xe3\x81\xa8\xe7\xbf\xbb\xe8\xa8\xb3\xe3\x81\xaf\xe3' '\x81\x95\xe3\x82\x8c\xe3\x81\xa6\xe3\x81\x84\xe3\x81\xbe' '\xe3\x81\x9b\xe3\x82\x93\xe3\x80\x82\xe4\xb8\x80\xe9\x83' '\xa8\xe3\x81\xaf\xe3\x83\x89\xe3\x82\xa4\xe3\x83\x84\xe8' '\xaa\x9e\xe3\x81\xa7\xe3\x81\x99\xe3\x81\x8c\xe3\x80\x81' '\xe3\x81\x82\xe3\x81\xa8\xe3\x81\xaf\xe3\x81\xa7\xe3\x81' '\x9f\xe3\x82\x89\xe3\x82\x81\xe3\x81\xa7\xe3\x81\x99\xe3' '\x80\x82\xe5\xae\x9f\xe9\x9a\x9b\xe3\x81\xab\xe3\x81\xaf' '\xe3\x80\x8cWenn ist das Nunstuck git und' ) # UTF-8 specific decoding tests self.assertEqual(unicode('\xf0\xa3\x91\x96', 'utf-8'), u'\U00023456' ) self.assertEqual(unicode('\xf0\x90\x80\x82', 'utf-8'), u'\U00010002' ) self.assertEqual(unicode('\xe2\x82\xac', 'utf-8'), u'\u20ac' ) # Other possible utf-8 test cases: # * strict decoding testing for all of the # UTF8_ERROR cases in PyUnicode_DecodeUTF8 def test_codecs_idna(self): # Test whether trailing dot is preserved self.assertEqual(u"www.python.org.".encode("idna"), "www.python.org.") def test_codecs_errors(self): # Error handling (encoding) self.assertRaises(UnicodeError, u'Andr\202 x'.encode, 'ascii') self.assertRaises(UnicodeError, u'Andr\202 x'.encode, 'ascii','strict') self.assertEqual(u'Andr\202 x'.encode('ascii','ignore'), "Andr x") self.assertEqual(u'Andr\202 x'.encode('ascii','replace'), "Andr? x") # Error handling (decoding) self.assertRaises(UnicodeError, unicode, 'Andr\202 x', 'ascii') self.assertRaises(UnicodeError, unicode, 'Andr\202 x', 'ascii','strict') self.assertEqual(unicode('Andr\202 x','ascii','ignore'), u"Andr x") self.assertEqual(unicode('Andr\202 x','ascii','replace'), u'Andr\uFFFD x') # Error handling (unknown character names) self.assertEqual("\\N{foo}xx".decode("unicode-escape", "ignore"), u"xx") # Error handling (truncated escape sequence) self.assertRaises(UnicodeError, "\\".decode, "unicode-escape") self.assertRaises(TypeError, "hello".decode, "test.unicode1") self.assertRaises(TypeError, unicode, "hello", "test.unicode2") self.assertRaises(TypeError, u"hello".encode, "test.unicode1") self.assertRaises(TypeError, u"hello".encode, "test.unicode2") # executes PyUnicode_Encode() import imp self.assertRaises( ImportError, imp.find_module, "non-existing module", [u"non-existing dir"] ) # Error handling (wrong arguments) self.assertRaises(TypeError, u"hello".encode, 42, 42, 42) # Error handling (PyUnicode_EncodeDecimal()) self.assertRaises(UnicodeError, int, u"\u0200") def test_codecs(self): # Encoding self.assertEqual(u'hello'.encode('ascii'), 'hello') self.assertEqual(u'hello'.encode('utf-7'), 'hello') self.assertEqual(u'hello'.encode('utf-8'), 'hello') self.assertEqual(u'hello'.encode('utf8'), 'hello') self.assertEqual(u'hello'.encode('utf-16-le'), 'h\000e\000l\000l\000o\000') self.assertEqual(u'hello'.encode('utf-16-be'), '\000h\000e\000l\000l\000o') self.assertEqual(u'hello'.encode('latin-1'), 'hello') # Roundtrip safety for BMP (just the first 1024 chars) u = u''.join(map(unichr, xrange(1024))) for encoding in ('utf-7', 'utf-8', 'utf-16', 'utf-16-le', 'utf-16-be', 'raw_unicode_escape', 'unicode_escape', 'unicode_internal'): self.assertEqual(unicode(u.encode(encoding),encoding), u) # Roundtrip safety for BMP (just the first 256 chars) u = u''.join(map(unichr, xrange(256))) for encoding in ('latin-1',): self.assertEqual(unicode(u.encode(encoding),encoding), u) # Roundtrip safety for BMP (just the first 128 chars) u = u''.join(map(unichr, xrange(128))) for encoding in ('ascii',): self.assertEqual(unicode(u.encode(encoding),encoding), u) # Roundtrip safety for non-BMP (just a few chars) u = u'\U00010001\U00020002\U00030003\U00040004\U00050005' for encoding in ('utf-8', 'utf-16', 'utf-16-le', 'utf-16-be', #'raw_unicode_escape', 'unicode_escape', 'unicode_internal'): self.assertEqual(unicode(u.encode(encoding),encoding), u) # UTF-8 must be roundtrip safe for all UCS-2 code points # This excludes surrogates: in the full range, there would be # a surrogate pair (\udbff\udc00), which gets converted back # to a non-BMP character (\U0010fc00) u = u''.join(map(unichr, range(0,0xd800)+range(0xe000,0x10000))) for encoding in ('utf-8',): self.assertEqual(unicode(u.encode(encoding),encoding), u) def test_codecs_charmap(self): # 0-127 s = ''.join(map(chr, xrange(128))) for encoding in ( 'cp037', 'cp1026', 'cp437', 'cp500', 'cp737', 'cp775', 'cp850', 'cp852', 'cp855', 'cp860', 'cp861', 'cp862', 'cp863', 'cp865', 'cp866', 'iso8859_10', 'iso8859_13', 'iso8859_14', 'iso8859_15', 'iso8859_2', 'iso8859_3', 'iso8859_4', 'iso8859_5', 'iso8859_6', 'iso8859_7', 'iso8859_9', 'koi8_r', 'latin_1', 'mac_cyrillic', 'mac_latin2', 'cp1250', 'cp1251', 'cp1252', 'cp1253', 'cp1254', 'cp1255', 'cp1256', 'cp1257', 'cp1258', 'cp856', 'cp857', 'cp864', 'cp869', 'cp874', 'mac_greek', 'mac_iceland','mac_roman', 'mac_turkish', 'cp1006', 'iso8859_8', ### These have undefined mappings: #'cp424', ### These fail the round-trip: #'cp875' ): self.assertEqual(unicode(s, encoding).encode(encoding), s) # 128-255 s = ''.join(map(chr, xrange(128, 256))) for encoding in ( 'cp037', 'cp1026', 'cp437', 'cp500', 'cp737', 'cp775', 'cp850', 'cp852', 'cp855', 'cp860', 'cp861', 'cp862', 'cp863', 'cp865', 'cp866', 'iso8859_10', 'iso8859_13', 'iso8859_14', 'iso8859_15', 'iso8859_2', 'iso8859_4', 'iso8859_5', 'iso8859_9', 'koi8_r', 'latin_1', 'mac_cyrillic', 'mac_latin2', ### These have undefined mappings: #'cp1250', 'cp1251', 'cp1252', 'cp1253', 'cp1254', 'cp1255', #'cp1256', 'cp1257', 'cp1258', #'cp424', 'cp856', 'cp857', 'cp864', 'cp869', 'cp874', #'iso8859_3', 'iso8859_6', 'iso8859_7', #'mac_greek', 'mac_iceland','mac_roman', 'mac_turkish', ### These fail the round-trip: #'cp1006', 'cp875', 'iso8859_8', ): self.assertEqual(unicode(s, encoding).encode(encoding), s) def test_concatenation(self): self.assertEqual((u"abc" u"def"), u"abcdef") self.assertEqual(("abc" u"def"), u"abcdef") self.assertEqual((u"abc" "def"), u"abcdef") self.assertEqual((u"abc" u"def" "ghi"), u"abcdefghi") self.assertEqual(("abc" "def" u"ghi"), u"abcdefghi") def test_printing(self): class BitBucket: def write(self, text): pass out = BitBucket() print >>out, u'abc' print >>out, u'abc', u'def' print >>out, u'abc', 'def' print >>out, 'abc', u'def' print >>out, u'abc\n' print >>out, u'abc\n', print >>out, u'abc\n', print >>out, u'def\n' print >>out, u'def\n' def test_ucs4(self): if sys.maxunicode == 0xFFFF: return x = u'\U00100000' y = x.encode("raw-unicode-escape").decode("raw-unicode-escape") self.assertEqual(x, y) def test_unicode_repr(self): class s1: def __repr__(self): return '\\n' class s2: def __repr__(self): return u'\\n' self.assertEqual(repr(s1()), '\\n') self.assertEqual(repr(s2()), '\\n') def test_main(): test_support.run_unittest(UnicodeTest) if __name__ == "__main__": test_main()

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Python

ImageNet/benchmark-dataflow.py

tensorpack/benchmarks

7c97174f9a00e440d60c38b54d4c45f58271fc3e

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93

2017-09-28T00:48:47.000Z

2022-03-31T07:25:06.000Z

ImageNet/benchmark-dataflow.py

tensorpack/benchmarks

7c97174f9a00e440d60c38b54d4c45f58271fc3e

[ "Unlicense" ]

8

2018-02-26T14:18:50.000Z

2019-12-12T00:15:26.000Z

ImageNet/benchmark-dataflow.py

tensorpack/benchmarks

7c97174f9a00e440d60c38b54d4c45f58271fc3e

[ "Unlicense" ]

38

2017-09-28T01:43:34.000Z

2022-02-11T09:23:53.000Z

#!/usr/bin/env python # -*- coding: utf-8 -*- # File: benchmark-dataflow.py import argparse import cv2 from tensorpack import * from tensorpack.dataflow.imgaug import * from tensorpack.dataflow.parallel import PlasmaGetData, PlasmaPutData # noqa from tensorpack.utils.serialize import loads import augmentors def test_orig(dir, name, augs, batch): ds = dataset.ILSVRC12(dir, name, shuffle=True) ds = AugmentImageComponent(ds, augs) ds = BatchData(ds, batch) # ds = PlasmaPutData(ds) ds = MultiProcessRunnerZMQ(ds, 50, hwm=80) # ds = PlasmaGetData(ds) return ds def test_lmdb_train(db, augs, batch): ds = LMDBData(db, shuffle=False) ds = LocallyShuffleData(ds, 50000) ds = MultiProcessRunner(ds, 5000, 1) return ds ds = LMDBDataPoint(ds) def f(x): return cv2.imdecode(x, cv2.IMREAD_COLOR) ds = MapDataComponent(ds, f, 0) ds = AugmentImageComponent(ds, augs) ds = BatchData(ds, batch, use_list=True) # ds = PlasmaPutData(ds) ds = MultiProcessRunnerZMQ(ds, 40, hwm=80) # ds = PlasmaGetData(ds) return ds def test_lmdb_inference(db, augs, batch): ds = LMDBData(db, shuffle=False) # ds = LocallyShuffleData(ds, 50000) augs = AugmentorList(augs) def mapper(data): im, label = loads(data[1]) im = cv2.imdecode(im, cv2.IMREAD_COLOR) im = augs.augment(im) return im, label ds = MultiProcessMapData(ds, 40, mapper, buffer_size=200) # ds = MultiThreadMapData(ds, 40, mapper, buffer_size=2000) ds = BatchData(ds, batch) ds = MultiProcessRunnerZMQ(ds, 1) return ds def test_inference(dir, name, augs, batch=128): ds = dataset.ILSVRC12Files(dir, name, shuffle=False, dir_structure='train') aug = imgaug.AugmentorList(augs) def mapf(dp): fname, cls = dp im = cv2.imread(fname, cv2.IMREAD_COLOR) im = aug.augment(im) return im, cls ds = MultiThreadMapData(ds, 30, mapf, buffer_size=2000, strict=True) ds = BatchData(ds, batch) ds = MultiProcessRunnerZMQ(ds, 1) return ds if __name__ == '__main__': available_augmentors = [ k[:-len("_augmentor")] for k in augmentors.__all__ if k.endswith('_augmentor')] parser = argparse.ArgumentParser() parser.add_argument('data', help='file or directory of dataset') parser.add_argument('--batch', type=int, default=64) parser.add_argument('--name', choices=['train', 'val'], default='train') parser.add_argument('--aug', choices=available_augmentors, required=True) args = parser.parse_args() augs = getattr(augmentors, args.aug + '_augmentor')() if args.data.endswith('lmdb'): if args.name == 'train': ds = test_lmdb_train(args.data, augs, args.batch) else: ds = test_lmdb_inference(args.data, augs, args.batch) else: if args.name == 'train': ds = test_orig(args.data, args.name, augs, args.batch) else: ds = test_inference(args.data, args.name, augs, args.batch) TestDataSpeed(ds, 500000, warmup=100).start()

29.101852

79

0.647471

import argparse import cv2 from tensorpack import * from tensorpack.dataflow.imgaug import * from tensorpack.dataflow.parallel import PlasmaGetData, PlasmaPutData from tensorpack.utils.serialize import loads import augmentors def test_orig(dir, name, augs, batch): ds = dataset.ILSVRC12(dir, name, shuffle=True) ds = AugmentImageComponent(ds, augs) ds = BatchData(ds, batch) ds = MultiProcessRunnerZMQ(ds, 50, hwm=80) return ds def test_lmdb_train(db, augs, batch): ds = LMDBData(db, shuffle=False) ds = LocallyShuffleData(ds, 50000) ds = MultiProcessRunner(ds, 5000, 1) return ds ds = LMDBDataPoint(ds) def f(x): return cv2.imdecode(x, cv2.IMREAD_COLOR) ds = MapDataComponent(ds, f, 0) ds = AugmentImageComponent(ds, augs) ds = BatchData(ds, batch, use_list=True) ds = MultiProcessRunnerZMQ(ds, 40, hwm=80) return ds def test_lmdb_inference(db, augs, batch): ds = LMDBData(db, shuffle=False) augs = AugmentorList(augs) def mapper(data): im, label = loads(data[1]) im = cv2.imdecode(im, cv2.IMREAD_COLOR) im = augs.augment(im) return im, label ds = MultiProcessMapData(ds, 40, mapper, buffer_size=200) ds = BatchData(ds, batch) ds = MultiProcessRunnerZMQ(ds, 1) return ds def test_inference(dir, name, augs, batch=128): ds = dataset.ILSVRC12Files(dir, name, shuffle=False, dir_structure='train') aug = imgaug.AugmentorList(augs) def mapf(dp): fname, cls = dp im = cv2.imread(fname, cv2.IMREAD_COLOR) im = aug.augment(im) return im, cls ds = MultiThreadMapData(ds, 30, mapf, buffer_size=2000, strict=True) ds = BatchData(ds, batch) ds = MultiProcessRunnerZMQ(ds, 1) return ds if __name__ == '__main__': available_augmentors = [ k[:-len("_augmentor")] for k in augmentors.__all__ if k.endswith('_augmentor')] parser = argparse.ArgumentParser() parser.add_argument('data', help='file or directory of dataset') parser.add_argument('--batch', type=int, default=64) parser.add_argument('--name', choices=['train', 'val'], default='train') parser.add_argument('--aug', choices=available_augmentors, required=True) args = parser.parse_args() augs = getattr(augmentors, args.aug + '_augmentor')() if args.data.endswith('lmdb'): if args.name == 'train': ds = test_lmdb_train(args.data, augs, args.batch) else: ds = test_lmdb_inference(args.data, augs, args.batch) else: if args.name == 'train': ds = test_orig(args.data, args.name, augs, args.batch) else: ds = test_inference(args.data, args.name, augs, args.batch) TestDataSpeed(ds, 500000, warmup=100).start()

true

f70dab9e7f2aa449224fcbce100d80d3ed025ca8

918

py

Python

hummingbot/strategy/dev_1_get_order_book/start.py

BGTCapital/hummingbot

2c50f50d67cedccf0ef4d8e3f4c8cdce3dc87242

[ "Apache-2.0" ]

3,027

2019-04-04T18:52:17.000Z

2022-03-30T09:38:34.000Z

hummingbot/strategy/dev_1_get_order_book/start.py

BGTCapital/hummingbot

2c50f50d67cedccf0ef4d8e3f4c8cdce3dc87242

[ "Apache-2.0" ]

4,080

2019-04-04T19:51:11.000Z

2022-03-31T23:45:21.000Z

hummingbot/strategy/dev_1_get_order_book/start.py

BGTCapital/hummingbot

2c50f50d67cedccf0ef4d8e3f4c8cdce3dc87242

[ "Apache-2.0" ]

1,342

2019-04-04T20:50:53.000Z

2022-03-31T15:22:36.000Z

#!/usr/bin/env python from hummingbot.connector.exchange_base import ExchangeBase from hummingbot.strategy.dev_1_get_order_book import GetOrderBookStrategy from hummingbot.strategy.dev_1_get_order_book.dev_1_get_order_book_config_map import dev_1_get_order_book_config_map def start(self): try: exchange: str = dev_1_get_order_book_config_map.get("exchange").value.lower() trading_pair: str = dev_1_get_order_book_config_map.get("trading_pair").value self._initialize_markets([(exchange, [trading_pair])]) exchange: ExchangeBase = self.markets[exchange] self.strategy = GetOrderBookStrategy(exchange=exchange, trading_pair=trading_pair, ) except Exception as e: self._notify(str(e)) self.logger().error("Unknown error during initialization.", exc_info=True)

39.913043

116

0.6939

from hummingbot.connector.exchange_base import ExchangeBase from hummingbot.strategy.dev_1_get_order_book import GetOrderBookStrategy from hummingbot.strategy.dev_1_get_order_book.dev_1_get_order_book_config_map import dev_1_get_order_book_config_map def start(self): try: exchange: str = dev_1_get_order_book_config_map.get("exchange").value.lower() trading_pair: str = dev_1_get_order_book_config_map.get("trading_pair").value self._initialize_markets([(exchange, [trading_pair])]) exchange: ExchangeBase = self.markets[exchange] self.strategy = GetOrderBookStrategy(exchange=exchange, trading_pair=trading_pair, ) except Exception as e: self._notify(str(e)) self.logger().error("Unknown error during initialization.", exc_info=True)

true

f70dac7a361dd95663ebe981f4c4b619c042eb36

2,347

py

Python

tests/msk_test.py

vigorIv2/spot

55e3a5a0b99fe959e95d7225a3bada857752e9fa

[ "MIT" ]

1

2021-05-03T18:35:30.000Z

tests/msk_test.py

vigorIv2/spot

55e3a5a0b99fe959e95d7225a3bada857752e9fa

[ "MIT" ]

1

2022-02-16T00:55:15.000Z

tests/msk_test.py

vigorIv2/spot

55e3a5a0b99fe959e95d7225a3bada857752e9fa

[ "MIT" ]

null

import logging import sys import time import datetime import unittest import spot_db from spot_msk import SpotMsk import json, requests import logging, logging.config, yaml logging.config.dictConfig(yaml.load(open('logging.conf'))) logfl = logging.getLogger('file') logconsole = logging.getLogger('console') logfl.debug("Debug FILE") logconsole.debug("Debug CONSOLE") class TestAccess(unittest.TestCase): def echo_elapsed_time(self): elapsed = time.time() - self._started_at elapsed_step = time.time() - self._step_started_at self._total_steps_cnt += 1.0 self._total_steps_elapsed += elapsed_step avg_elapsed = self._total_steps_elapsed / self._total_steps_cnt logging.info("total_elapsed=" + str(round(elapsed, 2)) + " step_elapsed=" + str(round(elapsed_step, 2)) + " avg_elapsed=" + str(round(avg_elapsed, 2))) def echo(self,r): logging.info("response=" + str(r)) logging.info("response.headers=" + str(r.headers)) logging.info("response.text=" + str(r.text)) self.echo_elapsed_time() @classmethod def setUpClass(self): self._started_at = time.time() self._total_steps_cnt = 0 self._total_steps_elapsed = 0 self.msk = SpotMsk() logging.info('executing setUpClass') def test_00_msk_parking(self): self.msk.get_datasets() def test_01_msk_622(self): self.msk.traverse_dataset(622) def test_01_parking_datasets(self): dss = self.msk.get_datasets() cnt = 0 for ds in sorted(dss): cnt += self.msk.traverse_dataset(ds) logging.info('total datasets '+str(cnt)) @classmethod def tearDownClass(self): logging.info('executing tearDownClass') self._step_started_at = time.time() elapsed = time.time() - self._started_at elapsed_step = time.time() - self._step_started_at self._total_steps_cnt += 1.0 self._total_steps_elapsed += elapsed_step avg_elapsed = self._total_steps_elapsed / self._total_steps_cnt logging.info("total_elapsed=" + str(round(elapsed, 2)) + " step_elapsed=" + str(round(elapsed_step, 2)) + " avg_elapsed=" + str(round(avg_elapsed, 2))) logging.info('executed tearDownClass') if __name__ == '__main__': unittest.main()

32.597222

159

0.668087

import logging import sys import time import datetime import unittest import spot_db from spot_msk import SpotMsk import json, requests import logging, logging.config, yaml logging.config.dictConfig(yaml.load(open('logging.conf'))) logfl = logging.getLogger('file') logconsole = logging.getLogger('console') logfl.debug("Debug FILE") logconsole.debug("Debug CONSOLE") class TestAccess(unittest.TestCase): def echo_elapsed_time(self): elapsed = time.time() - self._started_at elapsed_step = time.time() - self._step_started_at self._total_steps_cnt += 1.0 self._total_steps_elapsed += elapsed_step avg_elapsed = self._total_steps_elapsed / self._total_steps_cnt logging.info("total_elapsed=" + str(round(elapsed, 2)) + " step_elapsed=" + str(round(elapsed_step, 2)) + " avg_elapsed=" + str(round(avg_elapsed, 2))) def echo(self,r): logging.info("response=" + str(r)) logging.info("response.headers=" + str(r.headers)) logging.info("response.text=" + str(r.text)) self.echo_elapsed_time() @classmethod def setUpClass(self): self._started_at = time.time() self._total_steps_cnt = 0 self._total_steps_elapsed = 0 self.msk = SpotMsk() logging.info('executing setUpClass') def test_00_msk_parking(self): self.msk.get_datasets() def test_01_msk_622(self): self.msk.traverse_dataset(622) def test_01_parking_datasets(self): dss = self.msk.get_datasets() cnt = 0 for ds in sorted(dss): cnt += self.msk.traverse_dataset(ds) logging.info('total datasets '+str(cnt)) @classmethod def tearDownClass(self): logging.info('executing tearDownClass') self._step_started_at = time.time() elapsed = time.time() - self._started_at elapsed_step = time.time() - self._step_started_at self._total_steps_cnt += 1.0 self._total_steps_elapsed += elapsed_step avg_elapsed = self._total_steps_elapsed / self._total_steps_cnt logging.info("total_elapsed=" + str(round(elapsed, 2)) + " step_elapsed=" + str(round(elapsed_step, 2)) + " avg_elapsed=" + str(round(avg_elapsed, 2))) logging.info('executed tearDownClass') if __name__ == '__main__': unittest.main()

true

f70dacbfa4317925c8e12fd040862ec22b3790b3

12,105

py

Python

robinhoodbot/main.py

connorkerry/RobinhoodBot

6a1e1733d900abfc00a8e6fff1cf48184af4edc3

[ "MIT" ]

null

robinhoodbot/main.py

connorkerry/RobinhoodBot

6a1e1733d900abfc00a8e6fff1cf48184af4edc3

[ "MIT" ]

null

robinhoodbot/main.py

connorkerry/RobinhoodBot

6a1e1733d900abfc00a8e6fff1cf48184af4edc3

[ "MIT" ]

null

import robin_stocks as r import pandas as pd import numpy as np import ta as ta from pandas.plotting import register_matplotlib_converters from ta import * from misc import * from tradingstats import * #Log in to Robinhood login = r.login('YOUR_EMAIL','YOUR_PASSWORD') #Safe divide by zero division function def safe_division(n, d): return n / d if d else 0 def get_watchlist_symbols(): """ Returns: the symbol for each stock in your watchlist as a list of strings """ my_list_names = [] symbols = [] for name in r.get_all_watchlists(info='name'): my_list_names.append(name) for name in my_list_names: list = r.get_watchlist_by_name(name) for item in list: instrument_data = r.get_instrument_by_url(item.get('instrument')) symbol = instrument_data['symbol'] symbols.append(symbol) return symbols def get_portfolio_symbols(): """ Returns: the symbol for each stock in your portfolio as a list of strings """ symbols = [] holdings_data = r.get_open_stock_positions() for item in holdings_data: if not item: continue instrument_data = r.get_instrument_by_url(item.get('instrument')) symbol = instrument_data['symbol'] symbols.append(symbol) return symbols def get_position_creation_date(symbol, holdings_data): """Returns the time at which we bought a certain stock in our portfolio Args: symbol(str): Symbol of the stock that we are trying to figure out when it was bought holdings_data(dict): dict returned by r.get_open_stock_positions() Returns: A string containing the date and time the stock was bought, or "Not found" otherwise """ instrument = r.get_instruments_by_symbols(symbol) url = instrument[0].get('url') for dict in holdings_data: if(dict.get('instrument') == url): return dict.get('created_at') return "Not found" def get_modified_holdings(): """ Retrieves the same dictionary as r.build_holdings, but includes data about when the stock was purchased, which is useful for the read_trade_history() method in tradingstats.py Returns: the same dict from r.build_holdings, but with an extra key-value pair for each position you have, which is 'bought_at': (the time the stock was purchased) """ holdings = r.build_holdings() holdings_data = r.get_open_stock_positions() for symbol, dict in holdings.items(): bought_at = get_position_creation_date(symbol, holdings_data) bought_at = str(pd.to_datetime(bought_at)) holdings[symbol].update({'bought_at': bought_at}) return holdings def get_last_crossing(df, days, symbol="", direction=""): """Searches for a crossing between two indicators for a given stock Args: df(pandas.core.frame.DataFrame): Pandas dataframe with columns containing the stock's prices, both indicators, and the dates days(int): Specifies the maximum number of days that the cross can occur by symbol(str): Symbol of the stock we're querying. Optional, used for printing purposes direction(str): "above" if we are searching for an upwards cross, "below" if we are searching for a downwaords cross. Optional, used for printing purposes Returns: 1 if the short-term indicator crosses above the long-term one 0 if there is no cross between the indicators -1 if the short-term indicator crosses below the long-term one """ prices = df.loc[:,"Price"] shortTerm = df.loc[:,"Indicator1"] LongTerm = df.loc[:,"Indicator2"] dates = df.loc[:,"Dates"] lastIndex = prices.size - 1 index = lastIndex found = index recentDiff = (shortTerm.at[index] - LongTerm.at[index]) >= 0 if((direction == "above" and not recentDiff) or (direction == "below" and recentDiff)): return 0 index -= 1 while(index >= 0 and found == lastIndex and not np.isnan(shortTerm.at[index]) and not np.isnan(LongTerm.at[index]) \ and ((pd.Timestamp("now", tz='UTC') - dates.at[index]) <= pd.Timedelta(str(days) + " days"))): if(recentDiff): if((shortTerm.at[index] - LongTerm.at[index]) < 0): found = index else: if((shortTerm.at[index] - LongTerm.at[index]) > 0): found = index index -= 1 if(found != lastIndex): if((direction == "above" and recentDiff) or (direction == "below" and not recentDiff)): print(symbol + ": Short SMA crossed" + (" ABOVE " if recentDiff else " BELOW ") + "Long SMA at " + str(dates.at[found]) \ +", which was " + str(pd.Timestamp("now", tz='UTC') - dates.at[found]) + " ago", ", price at cross: " + str(prices.at[found]) \ + ", current price: " + str(prices.at[lastIndex])) return (1 if recentDiff else -1) else: return 0 def five_year_check(stockTicker): """Figure out if a stock has risen or been created within the last five years. Args: stockTicker(str): Symbol of the stock we're querying Returns: True if the stock's current price is higher than it was five years ago, or the stock IPO'd within the last five years False otherwise """ instrument = r.get_instruments_by_symbols(stockTicker) list_date = instrument[0].get("list_date") if ((pd.Timestamp("now") - pd.to_datetime(list_date)) < pd.Timedelta("5 Y")): return True fiveyear = r.get_historicals(stockTicker,span='5year',bounds='regular') closingPrices = [] for item in fiveyear: closingPrices.append(float(item['close_price'])) recent_price = closingPrices[len(closingPrices) - 1] oldest_price = closingPrices[0] return (recent_price > oldest_price) def golden_cross(stockTicker, n1, n2, days, direction=""): """Determine if a golden/death cross has occured for a specified stock in the last X trading days Args: stockTicker(str): Symbol of the stock we're querying n1(int): Specifies the short-term indicator as an X-day moving average. n2(int): Specifies the long-term indicator as an X-day moving average. (n1 should be smaller than n2 to produce meaningful results, e.g n1=50, n2=200) days(int): Specifies the maximum number of days that the cross can occur by direction(str): "above" if we are searching for an upwards cross, "below" if we are searching for a downwaords cross. Optional, used for printing purposes Returns: 1 if the short-term indicator crosses above the long-term one 0 if there is no cross between the indicators -1 if the short-term indicator crosses below the long-term one False if direction == "above" and five_year_check(stockTicker) returns False, meaning that we're considering whether to buy the stock but it hasn't risen overall in the last five years, suggesting it contains fundamental issues """ if(direction == "above" and not five_year_check(stockTicker)): return False history = r.get_historicals(stockTicker,span='year',bounds='regular') closingPrices = [] dates = [] for item in history: closingPrices.append(float(item['close_price'])) dates.append(item['begins_at']) price = pd.Series(closingPrices) dates = pd.Series(dates) dates = pd.to_datetime(dates) sma1 = ta.volatility.bollinger_mavg(price, n=int(n1), fillna=False) sma2 = ta.volatility.bollinger_mavg(price, n=int(n2), fillna=False) series = [price.rename("Price"), sma1.rename("Indicator1"), sma2.rename("Indicator2"), dates.rename("Dates")] df = pd.concat(series, axis=1) cross = get_last_crossing(df, days, symbol=stockTicker, direction=direction) # if(cross): # show_plot(price, sma1, sma2, dates, symbol=stockTicker, label1=str(n1)+" day SMA", label2=str(n2)+" day SMA") return cross def sell_holdings(symbol, holdings_data): """ Place an order to sell all holdings of a stock. Args: symbol(str): Symbol of the stock we want to sell holdings_data(dict): dict obtained from get_modified_holdings() method """ shares_owned = int(float(holdings_data[symbol].get("quantity"))) r.order_sell_market(symbol, shares_owned) print("####### Selling " + str(shares_owned) + " shares of " + symbol + " #######") def buy_holdings(potential_buys, profile_data, holdings_data): """ Places orders to buy holdings of stocks. This method will try to order an appropriate amount of shares such that your holdings of the stock will roughly match the average for the rest of your portfoilio. If the share price is too high considering the rest of your holdings and the amount of buying power in your account, it will not order any shares. Args: potential_buys(list): List of strings, the strings are the symbols of stocks we want to buy symbol(str): Symbol of the stock we want to sell holdings_data(dict): dict obtained from r.build_holdings() or get_modified_holdings() method """ cash = float(profile_data.get('cash')) portfolio_value = float(profile_data.get('equity')) - cash ideal_position_size = (safe_division(portfolio_value, len(holdings_data))+cash/len(potential_buys))/(2 * len(potential_buys)) prices = r.get_latest_price(potential_buys) for i in range(0, len(potential_buys)): stock_price = float(prices[i]) if(ideal_position_size < stock_price < ideal_position_size*1.5): num_shares = int(ideal_position_size*1.5/stock_price) elif (stock_price < ideal_position_size): num_shares = int(ideal_position_size/stock_price) else: print("####### Tried buying shares of " + potential_buys[i] + ", but not enough buying power to do so#######") break print("####### Buying " + str(num_shares) + " shares of " + potential_buys[i] + " #######") r.order_buy_market(potential_buys[i], num_shares) def scan_stocks(): """ The main method. Sells stocks in your portfolio if their 50 day moving average crosses below the 200 day, and buys stocks in your watchlist if the opposite happens. ############################################################################################### WARNING: Comment out the sell_holdings and buy_holdings lines if you don't actually want to execute the trade. ############################################################################################### If you sell a stock, this updates tradehistory.txt with information about the position, how much you've earned/lost, etc. """ print("----- Starting scan... -----\n") register_matplotlib_converters() watchlist_symbols = get_watchlist_symbols() portfolio_symbols = get_portfolio_symbols() holdings_data = get_modified_holdings() potential_buys = [] sells = [] print("Current Portfolio: " + str(portfolio_symbols) + "\n") print("Current Watchlist: " + str(watchlist_symbols) + "\n") print("----- Scanning portfolio for stocks to sell -----\n") for symbol in portfolio_symbols: cross = golden_cross(symbol, n1=50, n2=200, days=30, direction="below") if(cross == -1): sell_holdings(symbol, holdings_data) sells.append(symbol) profile_data = r.build_user_profile() print("\n----- Scanning watchlist for stocks to buy -----\n") for symbol in watchlist_symbols: if(symbol not in portfolio_symbols): cross = golden_cross(symbol, n1=50, n2=200, days=10, direction="above") if(cross == 1): potential_buys.append(symbol) if(len(potential_buys) > 0): buy_holdings(potential_buys, profile_data, holdings_data) if(len(sells) > 0): update_trade_history(sells, holdings_data, "tradehistory.txt") print("----- Scan over -----\n") #execute the scan scan_stocks()

45.852273

162

0.656258

import robin_stocks as r import pandas as pd import numpy as np import ta as ta from pandas.plotting import register_matplotlib_converters from ta import * from misc import * from tradingstats import * login = r.login('YOUR_EMAIL','YOUR_PASSWORD') def safe_division(n, d): return n / d if d else 0 def get_watchlist_symbols(): my_list_names = [] symbols = [] for name in r.get_all_watchlists(info='name'): my_list_names.append(name) for name in my_list_names: list = r.get_watchlist_by_name(name) for item in list: instrument_data = r.get_instrument_by_url(item.get('instrument')) symbol = instrument_data['symbol'] symbols.append(symbol) return symbols def get_portfolio_symbols(): symbols = [] holdings_data = r.get_open_stock_positions() for item in holdings_data: if not item: continue instrument_data = r.get_instrument_by_url(item.get('instrument')) symbol = instrument_data['symbol'] symbols.append(symbol) return symbols def get_position_creation_date(symbol, holdings_data): instrument = r.get_instruments_by_symbols(symbol) url = instrument[0].get('url') for dict in holdings_data: if(dict.get('instrument') == url): return dict.get('created_at') return "Not found" def get_modified_holdings(): holdings = r.build_holdings() holdings_data = r.get_open_stock_positions() for symbol, dict in holdings.items(): bought_at = get_position_creation_date(symbol, holdings_data) bought_at = str(pd.to_datetime(bought_at)) holdings[symbol].update({'bought_at': bought_at}) return holdings def get_last_crossing(df, days, symbol="", direction=""): prices = df.loc[:,"Price"] shortTerm = df.loc[:,"Indicator1"] LongTerm = df.loc[:,"Indicator2"] dates = df.loc[:,"Dates"] lastIndex = prices.size - 1 index = lastIndex found = index recentDiff = (shortTerm.at[index] - LongTerm.at[index]) >= 0 if((direction == "above" and not recentDiff) or (direction == "below" and recentDiff)): return 0 index -= 1 while(index >= 0 and found == lastIndex and not np.isnan(shortTerm.at[index]) and not np.isnan(LongTerm.at[index]) \ and ((pd.Timestamp("now", tz='UTC') - dates.at[index]) <= pd.Timedelta(str(days) + " days"))): if(recentDiff): if((shortTerm.at[index] - LongTerm.at[index]) < 0): found = index else: if((shortTerm.at[index] - LongTerm.at[index]) > 0): found = index index -= 1 if(found != lastIndex): if((direction == "above" and recentDiff) or (direction == "below" and not recentDiff)): print(symbol + ": Short SMA crossed" + (" ABOVE " if recentDiff else " BELOW ") + "Long SMA at " + str(dates.at[found]) \ +", which was " + str(pd.Timestamp("now", tz='UTC') - dates.at[found]) + " ago", ", price at cross: " + str(prices.at[found]) \ + ", current price: " + str(prices.at[lastIndex])) return (1 if recentDiff else -1) else: return 0 def five_year_check(stockTicker): instrument = r.get_instruments_by_symbols(stockTicker) list_date = instrument[0].get("list_date") if ((pd.Timestamp("now") - pd.to_datetime(list_date)) < pd.Timedelta("5 Y")): return True fiveyear = r.get_historicals(stockTicker,span='5year',bounds='regular') closingPrices = [] for item in fiveyear: closingPrices.append(float(item['close_price'])) recent_price = closingPrices[len(closingPrices) - 1] oldest_price = closingPrices[0] return (recent_price > oldest_price) def golden_cross(stockTicker, n1, n2, days, direction=""): if(direction == "above" and not five_year_check(stockTicker)): return False history = r.get_historicals(stockTicker,span='year',bounds='regular') closingPrices = [] dates = [] for item in history: closingPrices.append(float(item['close_price'])) dates.append(item['begins_at']) price = pd.Series(closingPrices) dates = pd.Series(dates) dates = pd.to_datetime(dates) sma1 = ta.volatility.bollinger_mavg(price, n=int(n1), fillna=False) sma2 = ta.volatility.bollinger_mavg(price, n=int(n2), fillna=False) series = [price.rename("Price"), sma1.rename("Indicator1"), sma2.rename("Indicator2"), dates.rename("Dates")] df = pd.concat(series, axis=1) cross = get_last_crossing(df, days, symbol=stockTicker, direction=direction) return cross def sell_holdings(symbol, holdings_data): shares_owned = int(float(holdings_data[symbol].get("quantity"))) r.order_sell_market(symbol, shares_owned) print("####### Selling " + str(shares_owned) + " shares of " + symbol + " #######") def buy_holdings(potential_buys, profile_data, holdings_data): cash = float(profile_data.get('cash')) portfolio_value = float(profile_data.get('equity')) - cash ideal_position_size = (safe_division(portfolio_value, len(holdings_data))+cash/len(potential_buys))/(2 * len(potential_buys)) prices = r.get_latest_price(potential_buys) for i in range(0, len(potential_buys)): stock_price = float(prices[i]) if(ideal_position_size < stock_price < ideal_position_size*1.5): num_shares = int(ideal_position_size*1.5/stock_price) elif (stock_price < ideal_position_size): num_shares = int(ideal_position_size/stock_price) else: print("####### Tried buying shares of " + potential_buys[i] + ", but not enough buying power to do so#######") break print("####### Buying " + str(num_shares) + " shares of " + potential_buys[i] + " #######") r.order_buy_market(potential_buys[i], num_shares) def scan_stocks(): print("----- Starting scan... -----\n") register_matplotlib_converters() watchlist_symbols = get_watchlist_symbols() portfolio_symbols = get_portfolio_symbols() holdings_data = get_modified_holdings() potential_buys = [] sells = [] print("Current Portfolio: " + str(portfolio_symbols) + "\n") print("Current Watchlist: " + str(watchlist_symbols) + "\n") print("----- Scanning portfolio for stocks to sell -----\n") for symbol in portfolio_symbols: cross = golden_cross(symbol, n1=50, n2=200, days=30, direction="below") if(cross == -1): sell_holdings(symbol, holdings_data) sells.append(symbol) profile_data = r.build_user_profile() print("\n----- Scanning watchlist for stocks to buy -----\n") for symbol in watchlist_symbols: if(symbol not in portfolio_symbols): cross = golden_cross(symbol, n1=50, n2=200, days=10, direction="above") if(cross == 1): potential_buys.append(symbol) if(len(potential_buys) > 0): buy_holdings(potential_buys, profile_data, holdings_data) if(len(sells) > 0): update_trade_history(sells, holdings_data, "tradehistory.txt") print("----- Scan over -----\n") scan_stocks()

true

f70dae80edd19835c2bcdbcc5bb719a245bf79aa

7,066

py

Python

cca/scripts/diffinfo.py

mstmhsmt/cca

0dc69b0f0da1def4e8404e5f7b7fe35b6ac3198a

[ "Apache-2.0" ]

null

cca/scripts/diffinfo.py

mstmhsmt/cca

0dc69b0f0da1def4e8404e5f7b7fe35b6ac3198a

[ "Apache-2.0" ]

null

cca/scripts/diffinfo.py

mstmhsmt/cca

0dc69b0f0da1def4e8404e5f7b7fe35b6ac3198a

[ "Apache-2.0" ]

null

#!/usr/bin/env python3 ''' diffinfo.py Copyright 2012-2017 Codinuum Software Lab <http://codinuum.com> Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. ''' import re import os import logging import pathsetup from fragment import Fragment import gzip logger = logging.getLogger() read_delete_insert_info_size_threshold = 4 excl_L_pat = re.compile('\) \[') excl_R_pat = re.compile('(?P<list>.*)\]') num_pat = re.compile('(?P<num>[0-9]+);?') def get_excluded(s): result = [] l = excl_L_pat.finditer(s) start = -1 for m in l: start = m.end() if start > 0: m = excl_R_pat.search(s, start) if m: s = m.group('list') result = [int(x) for x in num_pat.findall(s)] return result named_node_pat_s = '$(?P<size>[0-9]+)$ $([0-9]+):(?P<gnid>[0-9]+)$c:(?P<kind>.*) name=\'(?P<name>.*)\'(?P<rest>.*)$(?P<loc>[0-9]+L.*)$(?P<exc>.*)$(?P<elems>.*)$$' pat_s = '$(?P<size>[0-9]+)$ $([0-9]+):(?P<gnid>[0-9]+)$c:(?P<kind>.*)$(?P<loc>[0-9]+L.*)$(?P<exc>.*)$(?P<elems>.*)$$' named_node_insert_pat = re.compile('INSERT' + named_node_pat_s) insert_pat = re.compile('INSERT' + pat_s) named_node_delete_pat = re.compile('DELETE' + named_node_pat_s) delete_pat = re.compile('DELETE' + pat_s) def read_delete_insert_info(fname): logger.info('reading "{}"'.format(fname)) deletes = [] inserts = [] try: f = open(fname) for line in f: line = line.rstrip() m = named_node_delete_pat.search(line) if m: size = int(m.group('size')) name = m.group('name') if name and size > read_delete_insert_info_size_threshold: excluded = get_excluded(m.group('exc')) elems = Fragment(m.group('elems')) rest = m.group('rest') loc = m.group('loc') kind = m.group('kind') + '|' + rest gnid = int(m.group('gnid')) r = {'loc':loc,'size':size,'kind':kind,'name':name,'gnid':gnid,'excluded':excluded,'elems':elems} deletes.append(r) else: m = delete_pat.search(line) if m: size = int(m.group('size')) if size > read_delete_insert_info_size_threshold: kind = m.group('kind') loc = m.group('loc') gnid = int(m.group('gnid')) excluded = get_excluded(m.group('exc')) elems = Fragment(m.group('elems')) r = {'loc':loc,'size':size,'kind':kind,'name':None,'gnid':gnid,'excluded':excluded,'elems':elems} deletes.append(r) m = named_node_insert_pat.search(line) if m: size = int(m.group('size')) name = m.group('name') if name and size > read_delete_insert_info_size_threshold: excluded = get_excluded(m.group('exc')) elems = Fragment(m.group('elems')) rest = m.group('rest') loc = m.group('loc') kind = m.group('kind') + '|' + rest gnid = int(m.group('gnid')) r = {'loc':loc,'size':size,'kind':kind,'name':name,'gnid':gnid,'excluded':excluded,'elems':elems} inserts.append(r) else: m = insert_pat.search(line) if m: size = int(m.group('size')) if size > read_delete_insert_info_size_threshold: kind = m.group('kind') loc = m.group('loc') gnid = int(m.group('gnid')) excluded = get_excluded(m.group('exc')) elems = Fragment(m.group('elems')) r = {'loc':loc,'size':size,'kind':kind,'name':None,'gnid':gnid,'excluded':excluded,'elems':elems} inserts.append(r) f.close() except IOError as e: logger.warning(str(e)) return (deletes, inserts) map_pat = re.compile('(?P<kind>R|E)\[#([0-9]+)U:#(?P<gi1>[0-9]+)G\](?P<lab1>.*)\[(?P<loc1>.*)\] -- \[#([0-9]+)U:#(?P<gi2>[0-9]+)G\](?P<lab2>.*)\[(?P<loc2>.*)\]') def read_map_info(info, swapped=False): map_file_not_found = True gi_map = [] relabeled_gis = [] empty_map = True opener = open if os.path.exists(info): pass else: # maybe compressed info = info + '.gz' opener = gzip.open try: f = opener(info) map_file_not_found = False for line in f: m = map_pat.search(line) if m: empty_map = False gi1 = int(m.group('gi1')) gi2 = int(m.group('gi2')) kind = m.group('kind') lab1 = (m.group('lab1')) lab2 = (m.group('lab2')) loc1 = (m.group('loc1')) loc2 = (m.group('loc2')) if swapped: gi_map.append((gi2, gi1)) if kind == 'R': relabeled_gis.append(gi2) else: gi_map.append((gi1, gi2)) if kind == 'R': relabeled_gis.append(gi1) f.close() except BaseException as e: logger.warning(str(e)) if map_file_not_found: gi_map = None relabeled_gis = None if empty_map: logger.warning('empty map: "{}"'.format(info)) return (gi_map, relabeled_gis) lmap_pat = re.compile('(R|E)\[(?P<loc1>[0-9]+L.*)\].* -- .*\[(?P<loc2>[0-9]+L.*)\]') def read_lmap_info(info, swapped=False): result = [] try: f = open(info) for line in f: m = lmap_pat.search(line) if m: loc1 = m.group('loc1') loc2 = m.group('loc2') if swapped: result.append((loc2, loc1)) else: result.append((loc1, loc2)) f.close() except Exception as e: logger.warning(str(e)) return result def test(mapfile): (gi_map, relabeled_gis) = read_map_info('map.gz') print('gindex map read: size={}'.format(len(gi_map))) print('{} relabeled gindexes found'.format(len(relabeled_gis))) if __name__ == '__main__': test('map.gz')

33.808612

170

0.5

import re import os import logging import pathsetup from fragment import Fragment import gzip logger = logging.getLogger() read_delete_insert_info_size_threshold = 4 excl_L_pat = re.compile('\) \[') excl_R_pat = re.compile('(?P<list>.*)\]') num_pat = re.compile('(?P<num>[0-9]+);?') def get_excluded(s): result = [] l = excl_L_pat.finditer(s) start = -1 for m in l: start = m.end() if start > 0: m = excl_R_pat.search(s, start) if m: s = m.group('list') result = [int(x) for x in num_pat.findall(s)] return result named_node_pat_s = '$(?P<size>[0-9]+)$ $([0-9]+):(?P<gnid>[0-9]+)$c:(?P<kind>.*) name=\'(?P<name>.*)\'(?P<rest>.*)$(?P<loc>[0-9]+L.*)$(?P<exc>.*)$(?P<elems>.*)$$' pat_s = '$(?P<size>[0-9]+)$ $([0-9]+):(?P<gnid>[0-9]+)$c:(?P<kind>.*)$(?P<loc>[0-9]+L.*)$(?P<exc>.*)$(?P<elems>.*)$$' named_node_insert_pat = re.compile('INSERT' + named_node_pat_s) insert_pat = re.compile('INSERT' + pat_s) named_node_delete_pat = re.compile('DELETE' + named_node_pat_s) delete_pat = re.compile('DELETE' + pat_s) def read_delete_insert_info(fname): logger.info('reading "{}"'.format(fname)) deletes = [] inserts = [] try: f = open(fname) for line in f: line = line.rstrip() m = named_node_delete_pat.search(line) if m: size = int(m.group('size')) name = m.group('name') if name and size > read_delete_insert_info_size_threshold: excluded = get_excluded(m.group('exc')) elems = Fragment(m.group('elems')) rest = m.group('rest') loc = m.group('loc') kind = m.group('kind') + '|' + rest gnid = int(m.group('gnid')) r = {'loc':loc,'size':size,'kind':kind,'name':name,'gnid':gnid,'excluded':excluded,'elems':elems} deletes.append(r) else: m = delete_pat.search(line) if m: size = int(m.group('size')) if size > read_delete_insert_info_size_threshold: kind = m.group('kind') loc = m.group('loc') gnid = int(m.group('gnid')) excluded = get_excluded(m.group('exc')) elems = Fragment(m.group('elems')) r = {'loc':loc,'size':size,'kind':kind,'name':None,'gnid':gnid,'excluded':excluded,'elems':elems} deletes.append(r) m = named_node_insert_pat.search(line) if m: size = int(m.group('size')) name = m.group('name') if name and size > read_delete_insert_info_size_threshold: excluded = get_excluded(m.group('exc')) elems = Fragment(m.group('elems')) rest = m.group('rest') loc = m.group('loc') kind = m.group('kind') + '|' + rest gnid = int(m.group('gnid')) r = {'loc':loc,'size':size,'kind':kind,'name':name,'gnid':gnid,'excluded':excluded,'elems':elems} inserts.append(r) else: m = insert_pat.search(line) if m: size = int(m.group('size')) if size > read_delete_insert_info_size_threshold: kind = m.group('kind') loc = m.group('loc') gnid = int(m.group('gnid')) excluded = get_excluded(m.group('exc')) elems = Fragment(m.group('elems')) r = {'loc':loc,'size':size,'kind':kind,'name':None,'gnid':gnid,'excluded':excluded,'elems':elems} inserts.append(r) f.close() except IOError as e: logger.warning(str(e)) return (deletes, inserts) map_pat = re.compile('(?P<kind>R|E)\[#([0-9]+)U:#(?P<gi1>[0-9]+)G\](?P<lab1>.*)\[(?P<loc1>.*)\] -- \[#([0-9]+)U:#(?P<gi2>[0-9]+)G\](?P<lab2>.*)\[(?P<loc2>.*)\]') def read_map_info(info, swapped=False): map_file_not_found = True gi_map = [] relabeled_gis = [] empty_map = True opener = open if os.path.exists(info): pass else: info = info + '.gz' opener = gzip.open try: f = opener(info) map_file_not_found = False for line in f: m = map_pat.search(line) if m: empty_map = False gi1 = int(m.group('gi1')) gi2 = int(m.group('gi2')) kind = m.group('kind') lab1 = (m.group('lab1')) lab2 = (m.group('lab2')) loc1 = (m.group('loc1')) loc2 = (m.group('loc2')) if swapped: gi_map.append((gi2, gi1)) if kind == 'R': relabeled_gis.append(gi2) else: gi_map.append((gi1, gi2)) if kind == 'R': relabeled_gis.append(gi1) f.close() except BaseException as e: logger.warning(str(e)) if map_file_not_found: gi_map = None relabeled_gis = None if empty_map: logger.warning('empty map: "{}"'.format(info)) return (gi_map, relabeled_gis) lmap_pat = re.compile('(R|E)\[(?P<loc1>[0-9]+L.*)\].* -- .*\[(?P<loc2>[0-9]+L.*)\]') def read_lmap_info(info, swapped=False): result = [] try: f = open(info) for line in f: m = lmap_pat.search(line) if m: loc1 = m.group('loc1') loc2 = m.group('loc2') if swapped: result.append((loc2, loc1)) else: result.append((loc1, loc2)) f.close() except Exception as e: logger.warning(str(e)) return result def test(mapfile): (gi_map, relabeled_gis) = read_map_info('map.gz') print('gindex map read: size={}'.format(len(gi_map))) print('{} relabeled gindexes found'.format(len(relabeled_gis))) if __name__ == '__main__': test('map.gz')

true

f70daf6e0c7e8b592b22fc07d4c633555bc31157

4,010

py

Python

old/ROC_foldx.py

TheGlobalExpert/protein-stability

b5cc6efaaa6a2f7784729420b746a7ec07bd0d97

[ "MIT" ]

null

old/ROC_foldx.py

TheGlobalExpert/protein-stability

b5cc6efaaa6a2f7784729420b746a7ec07bd0d97

[ "MIT" ]

null

old/ROC_foldx.py

TheGlobalExpert/protein-stability

b5cc6efaaa6a2f7784729420b746a7ec07bd0d97

[ "MIT" ]

null

import pandas as pd import numpy as np import math import matplotlib.pyplot as plt data = pd.read_csv("../results/master.csv") data = pd.read_csv("../data/FoldX_predictions.csv") x = list(data["ddG"]) y = list(data["FoldX_dGG"]) #clean # XXX: import itertools #lists = sorted(zip(*[x, y])) #x, y = list(zip(*lists)) #x = x[:10] #y = y[:10] for i in range(len(x)): x[i] = float(x[i]) print(y) print(x) x = np.array(x) y = np.array(y) data = {"x":x,"y":y} plt.scatter("x","y", data=data, label=None) plt.plot(x,y,"o") plt.ylabel("Predicted ddG") plt.xlabel("Experimental ddG") x = np.array(x) #plt.xticks(np.arange(x.min(), x.max(), 0.5)) corr = np.corrcoef(x, y)[0,1] plt.text(-2.5, 7, 'Spearman correlation \ncoefficent: '+str(round(corr,3))) print(corr) m, b = np.polyfit(x, y, 1) plt.plot(x, m*x + b, label="Best Fit") plt.text(3.3, -1.3, 'slope = '+str(round(m,2))) plt.text(3.3, -1.7, 'y-intercept = '+str(round(b,2))) x_hori = list(np.arange(-10,10, 0.5)) y_hori = list(np.arange(-10,10, 0.5)) plt.plot(x_hori, y_hori, linestyle="dashed", label="Ideal") plt.ylim(-3,8) plt.xlim(-3,6) plt.legend(loc="upper right") plt.title("New dataset (ProTherm+HotMusic)") plt.show() print(x) print(y) def check_accuracy(threshold): true_positive = 0 false_positive = 0 true_negative = 0 false_negative = 0 for i in range(data.shape[0]): if data.loc[i, "ddG"] >= threshold: #Positve if data.loc[i, "FoldX_predictions"] >= threshold: true_positive = true_positive + 1 elif data.loc[i, "FoldX_predictions"] <= threshold: false_positive = false_positive + 1 else: exit() else: #negative if data.loc[i, "FoldX_predictions"] <= threshold: true_negative = true_negative + 1 elif data.loc[i, "FoldX_predictions"] >= threshold: false_negative = false_negative + 1 else: exit() return [true_positive, false_positive, true_negative, false_negative] def check_accuracy(threshold, x, y): true_positive = 0 false_positive = 0 true_negative = 0 false_negative = 0 for i in range(len(x)): if float(x[i]) >= threshold: #Positve if y[i] >= threshold: true_positive = true_positive + 1 elif y[i] <= threshold: false_positive = false_positive + 1 else: exit() else: #negative if y[i] <= threshold: true_negative = true_negative + 1 elif y[i] >= threshold: false_negative = false_negative + 1 else: exit() return [true_positive, false_positive, true_negative, false_negative] results = [] thresholds = list(np.arange(-10,10, 0.1)) print(thresholds) for threshold in thresholds: results.append(check_accuracy(threshold, x, y)) print(threshold) pass print(results) x = [] y = [] for i, result in enumerate(results): print(result) try: x.append(result[1] / (result[1] + result[2])) y.append(result[0] / (result[0] + result[3])) except: x.append(np.nan) y.append(np.nan) print(x) for i in range(len(x)): print(i, "----") print(x[i]) print(results[i]) x_hori = list(np.arange(0,1.1, 0.1)) y_hori = list(np.arange(0,1.1, 0.1)) TOI = [100,103, 105, 107, 110, 112, 118, 120] plt.figure(figsize = (6,6)) for threshold in TOI: plt.text(x[threshold] - 0.06, y[threshold] + 0.01, str(round(thresholds[threshold],3))) #print(thresholds[threshold], threshold) plt.plot(x,y) plt.plot(x_hori, y_hori, linestyle="dashed") plt.xlabel("False Positive Rate") plt.ylabel("True Postive Rate") plt.xlim(0,1) plt.ylim(0,1) plt.title("ROC curve of FoldX predictions of ddG with relation\nto varying ddG threshold (HotMusic dataset)") for threshold in TOI: plt.scatter(x[threshold], y[threshold], c="b") plt.show()

22.655367

109

0.600499

import pandas as pd import numpy as np import math import matplotlib.pyplot as plt data = pd.read_csv("../results/master.csv") data = pd.read_csv("../data/FoldX_predictions.csv") x = list(data["ddG"]) y = list(data["FoldX_dGG"]) mport itertools for i in range(len(x)): x[i] = float(x[i]) print(y) print(x) x = np.array(x) y = np.array(y) data = {"x":x,"y":y} plt.scatter("x","y", data=data, label=None) plt.plot(x,y,"o") plt.ylabel("Predicted ddG") plt.xlabel("Experimental ddG") x = np.array(x) corr = np.corrcoef(x, y)[0,1] plt.text(-2.5, 7, 'Spearman correlation \ncoefficent: '+str(round(corr,3))) print(corr) m, b = np.polyfit(x, y, 1) plt.plot(x, m*x + b, label="Best Fit") plt.text(3.3, -1.3, 'slope = '+str(round(m,2))) plt.text(3.3, -1.7, 'y-intercept = '+str(round(b,2))) x_hori = list(np.arange(-10,10, 0.5)) y_hori = list(np.arange(-10,10, 0.5)) plt.plot(x_hori, y_hori, linestyle="dashed", label="Ideal") plt.ylim(-3,8) plt.xlim(-3,6) plt.legend(loc="upper right") plt.title("New dataset (ProTherm+HotMusic)") plt.show() print(x) print(y) def check_accuracy(threshold): true_positive = 0 false_positive = 0 true_negative = 0 false_negative = 0 for i in range(data.shape[0]): if data.loc[i, "ddG"] >= threshold: if data.loc[i, "FoldX_predictions"] >= threshold: true_positive = true_positive + 1 elif data.loc[i, "FoldX_predictions"] <= threshold: false_positive = false_positive + 1 else: exit() else: if data.loc[i, "FoldX_predictions"] <= threshold: true_negative = true_negative + 1 elif data.loc[i, "FoldX_predictions"] >= threshold: false_negative = false_negative + 1 else: exit() return [true_positive, false_positive, true_negative, false_negative] def check_accuracy(threshold, x, y): true_positive = 0 false_positive = 0 true_negative = 0 false_negative = 0 for i in range(len(x)): if float(x[i]) >= threshold: if y[i] >= threshold: true_positive = true_positive + 1 elif y[i] <= threshold: false_positive = false_positive + 1 else: exit() else: if y[i] <= threshold: true_negative = true_negative + 1 elif y[i] >= threshold: false_negative = false_negative + 1 else: exit() return [true_positive, false_positive, true_negative, false_negative] results = [] thresholds = list(np.arange(-10,10, 0.1)) print(thresholds) for threshold in thresholds: results.append(check_accuracy(threshold, x, y)) print(threshold) pass print(results) x = [] y = [] for i, result in enumerate(results): print(result) try: x.append(result[1] / (result[1] + result[2])) y.append(result[0] / (result[0] + result[3])) except: x.append(np.nan) y.append(np.nan) print(x) for i in range(len(x)): print(i, "----") print(x[i]) print(results[i]) x_hori = list(np.arange(0,1.1, 0.1)) y_hori = list(np.arange(0,1.1, 0.1)) TOI = [100,103, 105, 107, 110, 112, 118, 120] plt.figure(figsize = (6,6)) for threshold in TOI: plt.text(x[threshold] - 0.06, y[threshold] + 0.01, str(round(thresholds[threshold],3))) plt.plot(x,y) plt.plot(x_hori, y_hori, linestyle="dashed") plt.xlabel("False Positive Rate") plt.ylabel("True Postive Rate") plt.xlim(0,1) plt.ylim(0,1) plt.title("ROC curve of FoldX predictions of ddG with relation\nto varying ddG threshold (HotMusic dataset)") for threshold in TOI: plt.scatter(x[threshold], y[threshold], c="b") plt.show()

true

f70db04da37eb5520229d18abbe9dbe1fae56e06

4,119

py

Python

train.py

fancybian/ner-crf2

e4f4fe973057ee5f6ffcc87c8dddc502c981b9bf

[ "MIT" ]

122

2016-06-07T16:25:34.000Z

2021-04-06T14:01:00.000Z

train.py

fancybian/ner-crf2

e4f4fe973057ee5f6ffcc87c8dddc502c981b9bf

[ "MIT" ]

1

2018-04-12T19:16:14.000Z

train.py

fancybian/ner-crf2

e4f4fe973057ee5f6ffcc87c8dddc502c981b9bf

[ "MIT" ]

41

2015-11-22T06:17:44.000Z

2021-04-02T09:12:09.000Z

# -*- coding: utf-8 -*- """ Main training file for the CRF. This file trains a CRF model and saves it under the filename provided via an 'identifier' command line argument. Usage example: python train.py --identifier="my_experiment" """ from __future__ import absolute_import, division, print_function, unicode_literals import argparse import random import pycrfsuite from model.datasets import load_windows, load_articles, generate_examples import model.features as features # All capitalized constants come from this file import config as cfg random.seed(42) def main(): """This function handles the command line arguments and then calls the train() method.""" parser = argparse.ArgumentParser() parser.add_argument("--identifier", required=True, help="A short name/identifier for your experiment, e.g. 'ex42b'.") args = parser.parse_args() train(args) def train(args): """Main training method. Does the following: 1. Create a new pycrfsuite trainer object. We will have to add feature chains and label chains to that object and then train on them. 2. Creates the feature (generators). A feature generator might e.g. take in a window of N tokens and then return ["upper=1"] for each token that starts with an uppercase letter and ["upper=0"] for each token that starts with a lowercase letter. (Lists, because a token can be converted into multiple features by a single feature generator, e.g. the case for LDA as a token may be part of multiple topics.) 3. Loads windows from the corpus. Each window has a fixed (maximum) size in tokens. We only load windows that contain at least one label (named entity), so that we don't waste too much time on windows without any label. 4. Generate features for each chain of tokens (window). That's basically described in (2.). Each chain of tokens from a window will be converted to a list of lists. One list at the top level representing each token, then another list for the feature values. E.g. [["w2v=123", "bc=742", "upper=0"], ["w2v=4", "bc=12", "upper=1", "lda4=1"]] for two tokens. 5. Add feature chains and label chains to the trainer. 6. Train. This may take several hours for 20k windows. Args: args: Command line arguments as parsed by argparse.ArgumentParser. """ trainer = pycrfsuite.Trainer(verbose=True) # Create/Initialize the feature generators # this may take a few minutes print("Creating features...") feature_generators = features.create_features() # Initialize the window generator # each window has a fixed maximum size of tokens print("Loading windows...") windows = load_windows(load_articles(cfg.ARTICLES_FILEPATH), cfg.WINDOW_SIZE, feature_generators, only_labeled_windows=True) # Add chains of features (each list of lists of strings) # and chains of labels (each list of strings) # to the trainer. # This may take a long while, especially because of the lengthy POS tagging. # POS tags and LDA results are cached, so the second run through this part will be significantly # faster. print("Adding example windows (up to max %d)..." % (cfg.COUNT_WINDOWS_TRAIN)) examples = generate_examples(windows, nb_append=cfg.COUNT_WINDOWS_TRAIN, nb_skip=cfg.COUNT_WINDOWS_TEST, verbose=True) for feature_values_lists, labels in examples: trainer.append(feature_values_lists, labels) # Train the model # this may take several hours print("Training...") if cfg.MAX_ITERATIONS is not None and cfg.MAX_ITERATIONS > 0: # set the maximum number of iterations of defined in the config file # the optimizer stops automatically after some iterations if this is not set trainer.set_params({'max_iterations': cfg.MAX_ITERATIONS}) trainer.train(args.identifier) # ---------------- if __name__ == "__main__": main()

42.90625

100

0.686574

from __future__ import absolute_import, division, print_function, unicode_literals import argparse import random import pycrfsuite from model.datasets import load_windows, load_articles, generate_examples import model.features as features import config as cfg random.seed(42) def main(): parser = argparse.ArgumentParser() parser.add_argument("--identifier", required=True, help="A short name/identifier for your experiment, e.g. 'ex42b'.") args = parser.parse_args() train(args) def train(args): trainer = pycrfsuite.Trainer(verbose=True) print("Creating features...") feature_generators = features.create_features() print("Loading windows...") windows = load_windows(load_articles(cfg.ARTICLES_FILEPATH), cfg.WINDOW_SIZE, feature_generators, only_labeled_windows=True) print("Adding example windows (up to max %d)..." % (cfg.COUNT_WINDOWS_TRAIN)) examples = generate_examples(windows, nb_append=cfg.COUNT_WINDOWS_TRAIN, nb_skip=cfg.COUNT_WINDOWS_TEST, verbose=True) for feature_values_lists, labels in examples: trainer.append(feature_values_lists, labels) print("Training...") if cfg.MAX_ITERATIONS is not None and cfg.MAX_ITERATIONS > 0: trainer.set_params({'max_iterations': cfg.MAX_ITERATIONS}) trainer.train(args.identifier) if __name__ == "__main__": main()

true

f70db16a2b9bb8472d5847e7ac204d8017366ff5

2,618

py

Python

ciw/network.py

CiwPython/Ciw

8d5978108f797a6c3e42d8f70f31510f889f2dd0

[ "MIT" ]

107

2016-11-18T22:44:58.000Z

2022-03-29T01:38:12.000Z

ciw/network.py

CiwPython/Ciw

8d5978108f797a6c3e42d8f70f31510f889f2dd0

[ "MIT" ]

117

2016-09-25T19:12:39.000Z

2022-03-31T14:01:47.000Z

ciw/network.py

CiwPython/Ciw

8d5978108f797a6c3e42d8f70f31510f889f2dd0

[ "MIT" ]

34

2016-12-21T12:04:29.000Z

2022-03-29T10:46:29.000Z

class ServiceCentre(object): """ An information store for each service centre in the queueing network. Contains all information that is independent of customer class: - number of servers - queueing capacity - server schedules + preemtion status - class change matrix """ def __init__(self, number_of_servers, queueing_capacity, class_change_matrix=None, schedule=None, preempt=False, ps_threshold=1): """ Initialises the ServiceCentre object. """ self.number_of_servers = number_of_servers self.queueing_capacity = queueing_capacity self.class_change_matrix = class_change_matrix self.schedule = schedule self.preempt = preempt self.ps_threshold = ps_threshold class CustomerClass(object): """ An information store for each customer class in the queueing network. Contains all information that is dependent on customer class: - arrival distributions - service distributions - routing matrices/functions - priority class - baulking functions - batching distributions """ def __init__(self, arrival_distributions, service_distributions, routing, priority_class, baulking_functions, batching_distributions): """ Initialises the CutomerCass object. """ self.arrival_distributions = arrival_distributions self.service_distributions = service_distributions self.batching_distributions = batching_distributions self.routing = routing self.priority_class = priority_class self.baulking_functions = baulking_functions class Network(object): """ An information store the queueing network. Contains a list of ServiceCentre objects for each service centre, and a list of CustomerClass objects for each customer class. """ def __init__(self, service_centres, customer_classes): """ Initialises the Network object """ self.service_centres = service_centres self.customer_classes = customer_classes self.number_of_nodes = len(service_centres) self.number_of_classes = len(customer_classes) self.number_of_priority_classes = len(set([clss.priority_class for clss in customer_classes])) self.priority_class_mapping = {i: clss.priority_class for i, clss in enumerate(customer_classes)}

36.361111

105

0.651642

class ServiceCentre(object): def __init__(self, number_of_servers, queueing_capacity, class_change_matrix=None, schedule=None, preempt=False, ps_threshold=1): self.number_of_servers = number_of_servers self.queueing_capacity = queueing_capacity self.class_change_matrix = class_change_matrix self.schedule = schedule self.preempt = preempt self.ps_threshold = ps_threshold class CustomerClass(object): def __init__(self, arrival_distributions, service_distributions, routing, priority_class, baulking_functions, batching_distributions): self.arrival_distributions = arrival_distributions self.service_distributions = service_distributions self.batching_distributions = batching_distributions self.routing = routing self.priority_class = priority_class self.baulking_functions = baulking_functions class Network(object): def __init__(self, service_centres, customer_classes): self.service_centres = service_centres self.customer_classes = customer_classes self.number_of_nodes = len(service_centres) self.number_of_classes = len(customer_classes) self.number_of_priority_classes = len(set([clss.priority_class for clss in customer_classes])) self.priority_class_mapping = {i: clss.priority_class for i, clss in enumerate(customer_classes)}

true

f70db18cb43c8477d2ce3de474b7e364be5012b3

19,374

py

Python

src/player.py

allineandric/progmind

6333ff3b76626c395d62fc2b6e96e99fe6e93061

[ "MIT" ]

1

2022-03-29T18:26:35.000Z

src/player.py

henrikbeck95/progmind

6333ff3b76626c395d62fc2b6e96e99fe6e93061

[ "MIT" ]

null

src/player.py

henrikbeck95/progmind

6333ff3b76626c395d62fc2b6e96e99fe6e93061

[ "MIT" ]

1

2020-12-04T18:18:04.000Z

"" "Este módulo implementa o objeto jogador (sprite) para o Progmind" "" from src.animation import Animation from src.animated_sprite import AnimatedSprite from src.time_bonus import TimeBonus import src.game_functions as gf import pygame import time class Player(AnimatedSprite): """Objeto de jogador""" def __init__(self, settings, screen, images, initial_bounding_rect, tile_map): """Inicialize o sprite do jogador""" # Calls AnimatedSprite, which in turn will call pygame.Sprite __init_() super().__init__(settings, screen, images) self.tile_map = tile_map # Substituir a posição inicial self.initial_bounding_rect = initial_bounding_rect self.rect.bottom = initial_bounding_rect.bottom self.rect.left = self.screen.get_rect().width / 2 # Defina as margens transparentes self.margin_left = self.settings.player_sprite_horz_margin self.margin_right = self.settings.player_sprite_horz_margin self.margin_top = self.settings.player_sprite_top_margin # definir o retorno de chamada de verificação de colisão opcional self.collision_check = self.collided # Estes são específicos para o objeto do jogador self.air_jumps = 0 self.max_air_jumps = settings.player_max_air_jumps self.idle_top = False self.idle_counter = 0 self.won_level = False self.at_top = False # Adicione as animações para o jogador self.animations[self.settings.anim_name_idle_left] = Animation([0, 1, 2, 3, 2, 1], 5) self.animations[self.settings.anim_name_idle_right] = Animation([5, 6, 7, 8, 7, 6], 5) self.animations[self.settings.anim_name_walk_left] = Animation([0, 10, 11, 10], 2) self.animations[self.settings.anim_name_walk_right] = Animation([5, 12, 13, 12], 2) self.animations[self.settings.anim_name_jump_up_left] = Animation([15], 5) self.animations[self.settings.anim_name_jump_down_left] = Animation([16], 5) self.animations[self.settings.anim_name_jump_up_right] = Animation([17], 5) self.animations[self.settings.anim_name_jump_down_right] = Animation([18], 5) self.animations[self.settings.anim_name_dead] = Animation([4], 5) self.current_animation = self.settings.anim_name_idle_left self.facing_left = True def reset(self): """Redefina o objeto do jogador para o mapa""" player = self player.rect.bottom = self.initial_bounding_rect.bottom player.dx = 0.0 player.dy = 0.0 player.dying = False player.idle_counter = 0 player.idle_top = False player.won_level = False player.at_top = False def update_current_animation(self): """Defina a animação correta com base no estado""" # DEAD if self.idle_top: self.set_current_animation(self.settings.anim_name_idle_left) elif self.dying: self.set_current_animation(self.settings.anim_name_dead) # IDLE elif self.dx == 0 and self.dy == 0: if self.facing_left: self.set_current_animation(self.settings.anim_name_idle_left) else: self.set_current_animation(self.settings.anim_name_idle_right) # WALKING elif self.dy == 0: if self.dx < 0: self.set_current_animation(self.settings.anim_name_walk_left) else: self.set_current_animation(self.settings.anim_name_walk_right) # JUMPING else: pygame.mixer.init() sounda= pygame.mixer.Sound("jumpland.wav") sounda.set_volume(0.05) sounda.play() if self.dy < 0: if self.facing_left: self.set_current_animation(self.settings.anim_name_jump_up_left) else: self.set_current_animation(self.settings.anim_name_jump_up_right) else: if self.facing_left: self.set_current_animation(self.settings.anim_name_jump_down_left) else: self.set_current_animation(self.settings.anim_name_jump_down_right) def collided(self, player, sprite): """Este retorno de chamada é usado para modificar a verificação de colisão básica para o sprite do jogador""" if sprite.dying: return False player_rect = player.rect.copy() # reduza o retângulo do jogador com base nas margens player_rect.height -= player.settings.player_sprite_top_margin player_rect.width -= (player.settings.player_sprite_horz_margin * 2) player_rect.midbottom = player.rect.midbottom # Agora faça uma verificação padrão com o Rect ajustado return player_rect.colliderect(sprite.rect) def update(self, tile_map, enemies): """Atualiza a posição do jogador sprite""" if not self.dying: # Verifique se estamos na linha superior if self.idle_top: self.idle_counter = 0 if self.idle_counter > (30 * 3): self.won_level = False # O AnimatedSprite lida com a maior parte disso, mas salve o Grupo de inimigos atuais para o manipulador self.enemies = enemies super().update(tile_map, tile_map.block_group) if self.dy == 0: self.air_jumps = 0 # O jogador também precisa verificar o grupo de sprites inimigos intersected_blobs = pygame.sprite.spritecollide(self, enemies, False, self.collision_check) if intersected_blobs: self.dying = True self.dy = -15 self.falling = True self.falling_frames = 1 player_idle = ((self.current_animation == self.settings.anim_name_idle_left) or (self.current_animation == self.settings.anim_name_idle_right)) player_walking = ((self.current_animation == self.settings.anim_name_walk_left) or (self.current_animation == self.settings.anim_name_walk_right)) if (self.rect.bottom <= tile_map.player_bounds_rect.top + 2 * self.settings.tile_height) and (player_idle or player_walking): self.idle_top = False self.at_top = True self.idle_counter = 0 else: if self.rect.top > self.screen_rect.bottom: # Por enquanto, apenas reinicie a posição do jogador, mas nada mais self.rect.bottom = tile_map.player_bounds_rect.bottom self.dx = 0.0 self.dy = 0.0 self.dying = False else: if self.dy < self.settings.terminal_velocity: self.dy += self.settings.gravity self.rect.centery += self.dy # pygame.mixer.init() # som= pygame.mixer.Sound("não consegue né.wav") # som.set_volume(0.1) # som.play() self.falling_frames += 1 self.finish_update() def handle_collision(self, collision_list, group): """Dada uma lista de sprites que colidem com o jogador, altere o estado, como posição, velocidade, etc.""" # Mesmo que seja uma lista, o primeiro item deve ser tudo de que precisamos por agora if collision_list: block = collision_list[0] #isso é uma colisão lateral? side_collision = self.rect.right > block.rect.right or self.rect.left < block.rect.left # Queda é o caso padrão, então verifique primeiro if self.dy > 0: self.falling = False self.falling_frames = 1 self.air_jumps = 0 self.dy = 0 self.rect.bottom = block.rect.top # Se o jogador estiver pulando, verifique se há um acerto menor elif self.dy < 0: if (self.rect.left > 450 and self.rect.left < 600): if (self.rect.top >= 464 and self.rect.top < 470): self.settings.resposta_1 = ''; if self.settings.resposta_1_correta: self.settings.contador_nivel += 1 if self.settings.level_number < self.settings.desafio_Medio: self.settings.desafio_concluido = True self.won_level = True if self.settings.level_number > self.settings.desafio_Facil and self.settings.level_number < self.settings.desafio_Dificil: if self.settings.contador_nivel == 2: self.settings.desafio_concluido = True self.won_level = True if self.settings.level_number >= self.settings.desafio_Dificil: self.settings.desafio_concluido = True self.won_level = True if (self.rect.left > 620 and self.rect.left < 730): if (self.rect.top >= 464 and self.rect.top < 477): self.settings.resposta_2 = '' if self.settings.resposta_2_correta: self.settings.contador_nivel += 1 if self.settings.level_number < self.settings.desafio_Medio: self.settings.desafio_concluido = True self.won_level = True if self.settings.level_number > self.settings.desafio_Facil and self.settings.level_number < self.settings.desafio_Dificil: if self.settings.contador_nivel == 2: self.settings.desafio_concluido = True self.won_level = True if self.settings.level_number >= self.settings.desafio_Dificil: self.settings.desafio_concluido = True self.won_level = True if (self.rect.left > 450 and self.rect.left < 600): if (self.rect.top >= 320 and self.rect.top < 328): self.settings.resposta_3 = '' if self.settings.resposta_3_correta: self.settings.contador_nivel += 1 if self.settings.level_number < self.settings.desafio_Medio: self.settings.desafio_concluido = True self.won_level = True if self.settings.level_number > self.settings.desafio_Facil and self.settings.level_number < self.settings.desafio_Dificil: if self.settings.contador_nivel == 2: self.settings.desafio_concluido = True self.won_level = True if self.settings.level_number >= self.settings.desafio_Dificil: self.settings.desafio_concluido = True self.won_level = True if (self.rect.left > 620 and self.rect.left < 730): if (self.rect.top >= 320 and self.rect.top < 328): self.settings.resposta_4 = '' if self.settings.resposta_4_correta: self.settings.contador_nivel += 1 if self.settings.level_number < self.settings.desafio_Medio: self.settings.desafio_concluido = True self.won_level = True if self.settings.level_number > self.settings.desafio_Facil and self.settings.level_number < self.settings.desafio_Dificil: if self.settings.contador_nivel == 2: self.settings.desafio_concluido = True self.won_level = True if self.settings.level_number >= self.settings.desafio_Dificil: self.settings.desafio_concluido = True self.won_level = True if (self.rect.left > 450 and self.rect.left < 600): if (self.rect.top >= 170 and self.rect.top < 185): self.settings.resposta_5 = '' if self.settings.resposta_5_correta: self.settings.resposta_5 = '' self.settings.contador_nivel += 1 if self.settings.level_number < self.settings.desafio_Medio: self.settings.desafio_concluido = True self.won_level = True if self.settings.level_number > self.settings.desafio_Facil and self.settings.level_number < self.settings.desafio_Dificil: if self.settings.contador_nivel == 2: self.settings.desafio_concluido = True self.won_level = True if self.settings.level_number >= self.settings.desafio_Dificil: self.settings.desafio_concluido = True self.won_level = True if (self.rect.left > 620 and self.rect.left < 730): if (self.rect.top >= 170 and self.rect.top < 185): self.settings.resposta_6 = '' if self.settings.resposta_6_correta: self.settings.resposta_6 = '' self.settings.contador_nivel += 1 if self.settings.level_number < self.settings.desafio_Medio: self.settings.desafio_concluido = True self.won_level = True if self.settings.level_number > self.settings.desafio_Facil and self.settings.level_number < self.settings.desafio_Dificil: if self.settings.contador_nivel == 2: self.settings.desafio_concluido = True self.won_level = True if self.settings.level_number >= self.settings.desafio_Dificil: self.settings.desafio_concluido = True self.won_level = True if (self.rect.left > 480 and self.rect.left < 600): if (self.rect.top > 25 and self.rect.top < 40): self.settings.resposta_7 = '' if self.settings.resposta_7_correta: self.settings.resposta_7 = '' self.settings.contador_nivel += 1 if self.settings.level_number < self.settings.desafio_Medio: self.settings.desafio_concluido = True self.won_level = True if self.settings.level_number > self.settings.desafio_Facil and self.settings.level_number < self.settings.desafio_Dificil: if self.settings.contador_nivel == 2: self.settings.desafio_concluido = True self.won_level = True if self.settings.level_number >= self.settings.desafio_Dificil: self.settings.desafio_concluido = True self.won_level = True if (self.rect.left > 620 and self.rect.left < 730): if (self.rect.top > 25 and self.rect.top < 40): self.settings.resposta_8 = '' if self.settings.resposta_8_correta: self.settings.resposta_8 = '' self.settings.contador_nivel += 1 if self.settings.level_number < self.settings.desafio_Medio: self.settings.desafio_concluido = True self.won_level = True if self.settings.level_number > self.settings.desafio_Facil and self.settings.level_number < self.settings.desafio_Dificil: if self.settings.contador_nivel == 2: self.settings.desafio_concluido = True self.won_level = True if self.settings.level_number >= self.settings.desafio_Dificil: self.settings.desafio_concluido = True self.won_level = True if self.rect.bottom > block.rect.bottom: self.dy = 0 self.rect.top = block.rect.bottom - self.settings.player_sprite_top_margin # remova os blocos atingidos pela parte inferior group.remove(collision_list) # remova os inimigos acima desses blocos self.remove_enemies_above_blocks(collision_list) # Agora verifique a esquerda elif self.dx > 0: if side_collision: self.dx = 0 self.rect.right = block.rect.left + self.settings.player_sprite_horz_margin elif self.dx < 0: if side_collision: self.dx = 0 self.rect.left = block.rect.right - self.settings.player_sprite_horz_margin def remove_enemies_above_blocks(self, collision_list): # construir um kill rect para verificar os inimigos kill_rect = collision_list[0].rect for sprite in collision_list: kill_rect.union_ip(sprite.rect) #Subir um bloco kill_rect.move_ip(0, collision_list[0].rect.height * -1) # Agora veja se algum inimigo está neste bloco for enemy in self.enemies: if kill_rect.colliderect(enemy.rect): enemy.dying = True enemy.dy = self.settings.enemy_death_dy bonus = TimeBonus(enemy.rect, "ACERTOU!!!", 500, self.tile_map.level_timer, self.settings.bonus_font) self.tile_map.bonuses.append(bonus)

50.453125

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0.532879

from src.animation import Animation from src.animated_sprite import AnimatedSprite from src.time_bonus import TimeBonus import src.game_functions as gf import pygame import time class Player(AnimatedSprite): def __init__(self, settings, screen, images, initial_bounding_rect, tile_map): super().__init__(settings, screen, images) self.tile_map = tile_map self.initial_bounding_rect = initial_bounding_rect self.rect.bottom = initial_bounding_rect.bottom self.rect.left = self.screen.get_rect().width / 2 self.margin_left = self.settings.player_sprite_horz_margin self.margin_right = self.settings.player_sprite_horz_margin self.margin_top = self.settings.player_sprite_top_margin self.collision_check = self.collided self.air_jumps = 0 self.max_air_jumps = settings.player_max_air_jumps self.idle_top = False self.idle_counter = 0 self.won_level = False self.at_top = False self.animations[self.settings.anim_name_idle_left] = Animation([0, 1, 2, 3, 2, 1], 5) self.animations[self.settings.anim_name_idle_right] = Animation([5, 6, 7, 8, 7, 6], 5) self.animations[self.settings.anim_name_walk_left] = Animation([0, 10, 11, 10], 2) self.animations[self.settings.anim_name_walk_right] = Animation([5, 12, 13, 12], 2) self.animations[self.settings.anim_name_jump_up_left] = Animation([15], 5) self.animations[self.settings.anim_name_jump_down_left] = Animation([16], 5) self.animations[self.settings.anim_name_jump_up_right] = Animation([17], 5) self.animations[self.settings.anim_name_jump_down_right] = Animation([18], 5) self.animations[self.settings.anim_name_dead] = Animation([4], 5) self.current_animation = self.settings.anim_name_idle_left self.facing_left = True def reset(self): player = self player.rect.bottom = self.initial_bounding_rect.bottom player.dx = 0.0 player.dy = 0.0 player.dying = False player.idle_counter = 0 player.idle_top = False player.won_level = False player.at_top = False def update_current_animation(self): if self.idle_top: self.set_current_animation(self.settings.anim_name_idle_left) elif self.dying: self.set_current_animation(self.settings.anim_name_dead) elif self.dx == 0 and self.dy == 0: if self.facing_left: self.set_current_animation(self.settings.anim_name_idle_left) else: self.set_current_animation(self.settings.anim_name_idle_right) elif self.dy == 0: if self.dx < 0: self.set_current_animation(self.settings.anim_name_walk_left) else: self.set_current_animation(self.settings.anim_name_walk_right) else: pygame.mixer.init() sounda= pygame.mixer.Sound("jumpland.wav") sounda.set_volume(0.05) sounda.play() if self.dy < 0: if self.facing_left: self.set_current_animation(self.settings.anim_name_jump_up_left) else: self.set_current_animation(self.settings.anim_name_jump_up_right) else: if self.facing_left: self.set_current_animation(self.settings.anim_name_jump_down_left) else: self.set_current_animation(self.settings.anim_name_jump_down_right) def collided(self, player, sprite): if sprite.dying: return False player_rect = player.rect.copy() player_rect.height -= player.settings.player_sprite_top_margin player_rect.width -= (player.settings.player_sprite_horz_margin * 2) player_rect.midbottom = player.rect.midbottom return player_rect.colliderect(sprite.rect) def update(self, tile_map, enemies): if not self.dying: if self.idle_top: self.idle_counter = 0 if self.idle_counter > (30 * 3): self.won_level = False self.enemies = enemies super().update(tile_map, tile_map.block_group) if self.dy == 0: self.air_jumps = 0 intersected_blobs = pygame.sprite.spritecollide(self, enemies, False, self.collision_check) if intersected_blobs: self.dying = True self.dy = -15 self.falling = True self.falling_frames = 1 player_idle = ((self.current_animation == self.settings.anim_name_idle_left) or (self.current_animation == self.settings.anim_name_idle_right)) player_walking = ((self.current_animation == self.settings.anim_name_walk_left) or (self.current_animation == self.settings.anim_name_walk_right)) if (self.rect.bottom <= tile_map.player_bounds_rect.top + 2 * self.settings.tile_height) and (player_idle or player_walking): self.idle_top = False self.at_top = True self.idle_counter = 0 else: if self.rect.top > self.screen_rect.bottom: self.rect.bottom = tile_map.player_bounds_rect.bottom self.dx = 0.0 self.dy = 0.0 self.dying = False else: if self.dy < self.settings.terminal_velocity: self.dy += self.settings.gravity self.rect.centery += self.dy self.falling_frames += 1 self.finish_update() def handle_collision(self, collision_list, group): if collision_list: block = collision_list[0] side_collision = self.rect.right > block.rect.right or self.rect.left < block.rect.left if self.dy > 0: self.falling = False self.falling_frames = 1 self.air_jumps = 0 self.dy = 0 self.rect.bottom = block.rect.top elif self.dy < 0: if (self.rect.left > 450 and self.rect.left < 600): if (self.rect.top >= 464 and self.rect.top < 470): self.settings.resposta_1 = ''; if self.settings.resposta_1_correta: self.settings.contador_nivel += 1 if self.settings.level_number < self.settings.desafio_Medio: self.settings.desafio_concluido = True self.won_level = True if self.settings.level_number > self.settings.desafio_Facil and self.settings.level_number < self.settings.desafio_Dificil: if self.settings.contador_nivel == 2: self.settings.desafio_concluido = True self.won_level = True if self.settings.level_number >= self.settings.desafio_Dificil: self.settings.desafio_concluido = True self.won_level = True if (self.rect.left > 620 and self.rect.left < 730): if (self.rect.top >= 464 and self.rect.top < 477): self.settings.resposta_2 = '' if self.settings.resposta_2_correta: self.settings.contador_nivel += 1 if self.settings.level_number < self.settings.desafio_Medio: self.settings.desafio_concluido = True self.won_level = True if self.settings.level_number > self.settings.desafio_Facil and self.settings.level_number < self.settings.desafio_Dificil: if self.settings.contador_nivel == 2: self.settings.desafio_concluido = True self.won_level = True if self.settings.level_number >= self.settings.desafio_Dificil: self.settings.desafio_concluido = True self.won_level = True if (self.rect.left > 450 and self.rect.left < 600): if (self.rect.top >= 320 and self.rect.top < 328): self.settings.resposta_3 = '' if self.settings.resposta_3_correta: self.settings.contador_nivel += 1 if self.settings.level_number < self.settings.desafio_Medio: self.settings.desafio_concluido = True self.won_level = True if self.settings.level_number > self.settings.desafio_Facil and self.settings.level_number < self.settings.desafio_Dificil: if self.settings.contador_nivel == 2: self.settings.desafio_concluido = True self.won_level = True if self.settings.level_number >= self.settings.desafio_Dificil: self.settings.desafio_concluido = True self.won_level = True if (self.rect.left > 620 and self.rect.left < 730): if (self.rect.top >= 320 and self.rect.top < 328): self.settings.resposta_4 = '' if self.settings.resposta_4_correta: self.settings.contador_nivel += 1 if self.settings.level_number < self.settings.desafio_Medio: self.settings.desafio_concluido = True self.won_level = True if self.settings.level_number > self.settings.desafio_Facil and self.settings.level_number < self.settings.desafio_Dificil: if self.settings.contador_nivel == 2: self.settings.desafio_concluido = True self.won_level = True if self.settings.level_number >= self.settings.desafio_Dificil: self.settings.desafio_concluido = True self.won_level = True if (self.rect.left > 450 and self.rect.left < 600): if (self.rect.top >= 170 and self.rect.top < 185): self.settings.resposta_5 = '' if self.settings.resposta_5_correta: self.settings.resposta_5 = '' self.settings.contador_nivel += 1 if self.settings.level_number < self.settings.desafio_Medio: self.settings.desafio_concluido = True self.won_level = True if self.settings.level_number > self.settings.desafio_Facil and self.settings.level_number < self.settings.desafio_Dificil: if self.settings.contador_nivel == 2: self.settings.desafio_concluido = True self.won_level = True if self.settings.level_number >= self.settings.desafio_Dificil: self.settings.desafio_concluido = True self.won_level = True if (self.rect.left > 620 and self.rect.left < 730): if (self.rect.top >= 170 and self.rect.top < 185): self.settings.resposta_6 = '' if self.settings.resposta_6_correta: self.settings.resposta_6 = '' self.settings.contador_nivel += 1 if self.settings.level_number < self.settings.desafio_Medio: self.settings.desafio_concluido = True self.won_level = True if self.settings.level_number > self.settings.desafio_Facil and self.settings.level_number < self.settings.desafio_Dificil: if self.settings.contador_nivel == 2: self.settings.desafio_concluido = True self.won_level = True if self.settings.level_number >= self.settings.desafio_Dificil: self.settings.desafio_concluido = True self.won_level = True if (self.rect.left > 480 and self.rect.left < 600): if (self.rect.top > 25 and self.rect.top < 40): self.settings.resposta_7 = '' if self.settings.resposta_7_correta: self.settings.resposta_7 = '' self.settings.contador_nivel += 1 if self.settings.level_number < self.settings.desafio_Medio: self.settings.desafio_concluido = True self.won_level = True if self.settings.level_number > self.settings.desafio_Facil and self.settings.level_number < self.settings.desafio_Dificil: if self.settings.contador_nivel == 2: self.settings.desafio_concluido = True self.won_level = True if self.settings.level_number >= self.settings.desafio_Dificil: self.settings.desafio_concluido = True self.won_level = True if (self.rect.left > 620 and self.rect.left < 730): if (self.rect.top > 25 and self.rect.top < 40): self.settings.resposta_8 = '' if self.settings.resposta_8_correta: self.settings.resposta_8 = '' self.settings.contador_nivel += 1 if self.settings.level_number < self.settings.desafio_Medio: self.settings.desafio_concluido = True self.won_level = True if self.settings.level_number > self.settings.desafio_Facil and self.settings.level_number < self.settings.desafio_Dificil: if self.settings.contador_nivel == 2: self.settings.desafio_concluido = True self.won_level = True if self.settings.level_number >= self.settings.desafio_Dificil: self.settings.desafio_concluido = True self.won_level = True if self.rect.bottom > block.rect.bottom: self.dy = 0 self.rect.top = block.rect.bottom - self.settings.player_sprite_top_margin group.remove(collision_list) self.remove_enemies_above_blocks(collision_list) elif self.dx > 0: if side_collision: self.dx = 0 self.rect.right = block.rect.left + self.settings.player_sprite_horz_margin elif self.dx < 0: if side_collision: self.dx = 0 self.rect.left = block.rect.right - self.settings.player_sprite_horz_margin def remove_enemies_above_blocks(self, collision_list): kill_rect = collision_list[0].rect for sprite in collision_list: kill_rect.union_ip(sprite.rect) kill_rect.move_ip(0, collision_list[0].rect.height * -1) for enemy in self.enemies: if kill_rect.colliderect(enemy.rect): enemy.dying = True enemy.dy = self.settings.enemy_death_dy bonus = TimeBonus(enemy.rect, "ACERTOU!!!", 500, self.tile_map.level_timer, self.settings.bonus_font) self.tile_map.bonuses.append(bonus)

true