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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
bb835887638d97fd49e95038db89b9f00019f7b3 | 1,343 | py | Python | setup.py | wo0dyn/django-basic-models-behaviors | 19bbd09630c38451c89f32d38023053b23995db9 | [
"BSD-3-Clause"
] | 2 | 2016-07-14T00:29:59.000Z | 2016-07-18T02:55:35.000Z | setup.py | wo0dyn/django-basic-models-behaviors | 19bbd09630c38451c89f32d38023053b23995db9 | [
"BSD-3-Clause"
] | 5 | 2015-07-02T07:42:10.000Z | 2020-06-05T16:54:04.000Z | setup.py | wo0dyn/django-basic-models-behaviors | 19bbd09630c38451c89f32d38023053b23995db9 | [
"BSD-3-Clause"
] | 1 | 2015-10-20T10:11:35.000Z | 2015-10-20T10:11:35.000Z | # -*- coding: utf-8 -*-
import codecs
import os
from setuptools import setup
setup(
name='django-basic-models-behaviors',
version=__import__('basic_models_behaviors').__version__,
description='Tiny app to provide basic behaviors for django models.',
long_description=read('README.rst'),
author='Nicolas Dubois',
author_email='nicolas.c.dubois@gmail.com',
url='https://github.com/wo0dyn/django-basic-models-behaviors',
keywords="django",
packages=['basic_models_behaviors'],
include_package_data=True,
zip_safe=False,
license='MIT License',
platforms=['any'],
classifiers=[
'Development Status :: 4 - Beta',
'Environment :: Web Environment',
'Framework :: Django',
'Intended Audience :: Developers',
'License :: OSI Approved :: MIT License',
'Operating System :: OS Independent',
'Programming Language :: Python',
'Programming Language :: Python :: 2',
'Programming Language :: Python :: 2.7',
'Programming Language :: Python :: 3',
'Programming Language :: Python :: 3.2',
'Programming Language :: Python :: 3.3',
'Programming Language :: Python :: 3.4',
]
)
| 31.97619 | 96 | 0.638124 |
bb84b60c8bd64fa0c7fda5ba539335cf5ce1fc5a | 10,746 | py | Python | plistutils/nskeyedarchiver.py | sathwikv143/plistutils | fc7783449da1ed222547ceb5c416402216fa9b34 | [
"BSD-3-Clause"
] | 35 | 2017-10-17T17:24:16.000Z | 2022-03-18T22:10:47.000Z | plistutils/nskeyedarchiver.py | sathwikv143/plistutils | fc7783449da1ed222547ceb5c416402216fa9b34 | [
"BSD-3-Clause"
] | 1 | 2021-07-09T01:06:30.000Z | 2021-07-09T01:06:30.000Z | plistutils/nskeyedarchiver.py | sathwikv143/plistutils | fc7783449da1ed222547ceb5c416402216fa9b34 | [
"BSD-3-Clause"
] | 4 | 2018-11-17T15:52:36.000Z | 2022-02-28T08:01:14.000Z | import logging
from uuid import UUID
from biplist import Data, Uid
from plistutils.utils import parse_mac_absolute_time
logger = logging.getLogger(__name__)
| 45.72766 | 170 | 0.622557 |
bb85cd6b9000d3cdaff7738f7a55a4fc05c3ab98 | 89 | py | Python | guillotina_volto/blocks/__init__.py | enfold/guillotina-volto | d38ee300470c813c99341eaeb2ba8a2b5fb7d778 | [
"BSD-2-Clause"
] | 5 | 2018-11-11T07:19:06.000Z | 2020-01-18T11:04:15.000Z | guillotina_volto/blocks/__init__.py | enfold/guillotina-volto | d38ee300470c813c99341eaeb2ba8a2b5fb7d778 | [
"BSD-2-Clause"
] | 4 | 2021-05-14T20:21:03.000Z | 2021-11-18T01:27:04.000Z | guillotina_volto/blocks/__init__.py | enfold/guillotina-volto | d38ee300470c813c99341eaeb2ba8a2b5fb7d778 | [
"BSD-2-Clause"
] | 2 | 2019-06-14T10:42:22.000Z | 2020-05-09T13:09:09.000Z | from . import default # noqa
from . import types # noqa
from . import standard # noqa
| 22.25 | 30 | 0.696629 |
bb86c442b96d2055b1909d4bb39b8d492cac5efe | 1,131 | py | Python | plotdotroot/plotdot/svgDraw/transform.py | hodeld/axidraw | b5009779d01f209b7fe712a92aa9c117ce32f70a | [
"MIT"
] | 1 | 2020-07-28T15:09:57.000Z | 2020-07-28T15:09:57.000Z | plotdotroot/plotdot/svgDraw/transform.py | hodeld/axidraw | b5009779d01f209b7fe712a92aa9c117ce32f70a | [
"MIT"
] | 4 | 2021-04-08T21:33:10.000Z | 2021-09-22T19:29:10.000Z | plotdotroot/plotdot/svgDraw/transform.py | hodeld/axidraw | b5009779d01f209b7fe712a92aa9c117ce32f70a | [
"MIT"
] | 1 | 2022-03-18T18:07:27.000Z | 2022-03-18T18:07:27.000Z | import random
_TRANSF_FN = {1: scale,
2: translate,
3: skew_x,
4: skew_y,
5: rotate,
}
_SCALE_TRANS = {1: (1, 1)}
| 17.952381 | 57 | 0.568523 |
bb87fa54ef182344fda1ae0ba9713c3ff055e11e | 9,337 | py | Python | Tools/Builder/build.py | hung0913208/Base | 420b4ce8e08f9624b4e884039218ffd233b88335 | [
"BSD-3-Clause"
] | null | null | null | Tools/Builder/build.py | hung0913208/Base | 420b4ce8e08f9624b4e884039218ffd233b88335 | [
"BSD-3-Clause"
] | null | null | null | Tools/Builder/build.py | hung0913208/Base | 420b4ce8e08f9624b4e884039218ffd233b88335 | [
"BSD-3-Clause"
] | 2 | 2020-11-04T08:00:37.000Z | 2020-11-06T08:33:33.000Z | #!/usr/bin/python3
#
# Project: build
# Description: this is a very simple build tool which imitates from Bazel
#
import subprocess
import argparse
import shutil
import glob
import sys
import os
from core import *
from languages import *
from plugins import *
def parse():
parser = argparse.ArgumentParser()
parser.add_argument('--rebuild', type=int, default=1,
help='build everything from scratch')
parser.add_argument('--silence', type=int, default=0,
help='make Builder more quieted')
parser.add_argument('--root', type=str, default=os.getcwd(),
help='where project is defined')
parser.add_argument('--debug', type=int, default=0,
help='enable debug info')
parser.add_argument('--stacktrace', type=str, default=None,
help='enable stacktrace info')
parser.add_argument('--use_package_management', type=int, default=1,
help='enable using package management')
parser.add_argument('--auto_update_packages', type=int,
default=0, help='enable auto update packages')
parser.add_argument('--on_serving', type=int, default=0,
help='use Builder on serving mode when they receive '
'tasks from afar')
parser.add_argument('--mode', type=int, default=0,
help='select mode of this process if on_serving is on')
return parser.parse_args()
if __name__ == '__main__':
flags = parse()
if flags.debug != 0 and flags.silence == 0:
# @NOTE: by default we only use showing stacktrace if flag debug is on
Logger.set_level(DEBUG)
if not flags.stacktrace is None:
if flags.stacktrace.lower() == 'debug':
Logger.set_stacktrace(DEBUG)
elif flags.stacktrace.lower() == 'warning':
Logger.set_stacktrace(WARN)
elif flags.stacktrace.lower() == 'error':
Logger.set_stacktrace(FATAL)
Logger.silence(flags.silence == 1)
if flags.on_serving == 0:
builder = Build(flags.root,
auto_update_packages=flags.auto_update_packages==1,
use_package_management=flags.use_package_management==1,
silence=(flags.silence == 1),
rebuild=(flags.rebuild == 1))
code = 255
if builder.prepare() is False:
Logger.debug('prepare fail -> exit with code 255')
elif builder.analyze() is False:
Logger.debug('build fail -> exit with code 255')
elif builder.build() is False:
Logger.debug('build fail -> exit with code 255')
else:
code = 0
builder.release()
sys.exit(code)
else:
recepter = Serving(root=flags.root,
auto_update_packages=flags.auto_update_packages==1,
use_package_management=flags.use_package_management==1,
silence=(flags.silence == 1))
sys.exit(255 if recepter.error is True else 0)
| 34.076642 | 100 | 0.543108 |
bb8aaea1d863f144dd7a710dd878ed727beb22e5 | 414 | py | Python | label.py | dotrungkien/face_recognition | 52c552c4f73850e62db88d0dc7271d73e4150180 | [
"MIT"
] | null | null | null | label.py | dotrungkien/face_recognition | 52c552c4f73850e62db88d0dc7271d73e4150180 | [
"MIT"
] | null | null | null | label.py | dotrungkien/face_recognition | 52c552c4f73850e62db88d0dc7271d73e4150180 | [
"MIT"
] | null | null | null | import cv2
import sys
import numpy as np
from scipy.io import loadmat
if __name__ == '__main__':
convert()
| 21.789474 | 61 | 0.673913 |
bb8abe691f8096772a0b83004f7d364cbc981a7d | 154 | py | Python | app/helper_functions.py | shane-kercheval/dash-ml-explorer | c1664d733e037b7e00b918b5bbdbd0b7cbdc3c2d | [
"Apache-2.0"
] | null | null | null | app/helper_functions.py | shane-kercheval/dash-ml-explorer | c1664d733e037b7e00b918b5bbdbd0b7cbdc3c2d | [
"Apache-2.0"
] | null | null | null | app/helper_functions.py | shane-kercheval/dash-ml-explorer | c1664d733e037b7e00b918b5bbdbd0b7cbdc3c2d | [
"Apache-2.0"
] | null | null | null | import yaml
| 17.111111 | 42 | 0.675325 |
bb8d90bc55457ae6e3a765f4679f3b20738e394c | 581 | py | Python | leetcode/medium/single-number-ii.py | rainzhop/cumulus-tank | 09ebc7858ea53630e30606945adfea856a80faa3 | [
"MIT"
] | null | null | null | leetcode/medium/single-number-ii.py | rainzhop/cumulus-tank | 09ebc7858ea53630e30606945adfea856a80faa3 | [
"MIT"
] | null | null | null | leetcode/medium/single-number-ii.py | rainzhop/cumulus-tank | 09ebc7858ea53630e30606945adfea856a80faa3 | [
"MIT"
] | null | null | null | # https://leetcode.com/problems/single-number-ii/
#
# Given an array of integers, every element appears three times except for one. Find that single one.
#
# Note:
# Your algorithm should have a linear runtime complexity. Could you implement it without using extra memory?
| 27.666667 | 108 | 0.562823 |
bb8db06160aa8c394dde6ee5900fec9ece4ddde7 | 5,347 | py | Python | wiki/test/test_wikisection.py | IgalMilman/DnDHelper | 334822a489e7dc2b5ae17230e5c068b89c6c5d10 | [
"MIT"
] | null | null | null | wiki/test/test_wikisection.py | IgalMilman/DnDHelper | 334822a489e7dc2b5ae17230e5c068b89c6c5d10 | [
"MIT"
] | null | null | null | wiki/test/test_wikisection.py | IgalMilman/DnDHelper | 334822a489e7dc2b5ae17230e5c068b89c6c5d10 | [
"MIT"
] | null | null | null | import os
import uuid
from datetime import datetime
import mock
import pytz
from django.conf import settings
from django.contrib.auth.models import User
from django.test import TestCase
from django.urls import reverse
from utils.widget import quill
from wiki.models import wikipage, wikisection
from wiki.models.wikipage import Keywords, WikiPage
from wiki.models.wikisection import WikiSection
| 53.47 | 248 | 0.747522 |
bb8dd51539cdab9536825a57382500f121007993 | 524 | py | Python | api/applications/migrations/0046_partyonapplication_flags.py | uktrade/lite-ap | 4e1a57956bd921992b4a6e2b8fbacbba5720960d | [
"MIT"
] | 3 | 2019-05-15T09:30:39.000Z | 2020-04-22T16:14:23.000Z | api/applications/migrations/0046_partyonapplication_flags.py | uktrade/lite-ap | 4e1a57956bd921992b4a6e2b8fbacbba5720960d | [
"MIT"
] | 85 | 2019-04-24T10:39:35.000Z | 2022-03-21T14:52:12.000Z | api/applications/migrations/0046_partyonapplication_flags.py | uktrade/lite-ap | 4e1a57956bd921992b4a6e2b8fbacbba5720960d | [
"MIT"
] | 1 | 2021-01-17T11:12:19.000Z | 2021-01-17T11:12:19.000Z | # Generated by Django 2.2.17 on 2021-01-27 14:27
from django.db import migrations, models
| 26.2 | 97 | 0.65458 |
bb8e03933f18743e4789f0bc3df9d4b4ca88a87c | 2,205 | py | Python | Shivarth_Project(2).py | rodincode/python | 5bcc53b6103e53b37a3e40635502cbca53fec43e | [
"MIT"
] | 1 | 2021-02-11T04:42:28.000Z | 2021-02-11T04:42:28.000Z | Shivarth_Project(2).py | rodincode/python | 5bcc53b6103e53b37a3e40635502cbca53fec43e | [
"MIT"
] | null | null | null | Shivarth_Project(2).py | rodincode/python | 5bcc53b6103e53b37a3e40635502cbca53fec43e | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Thu Jun 20 13:26:46 2019
@author: LENOVO
"""
import pandas as pd
filename = r"C:\Users\LENOVO\Downloads\Tweets.csv"
df = pd.read_csv(filename,encoding="unicode_escape")
all_data = df.drop_duplicates(keep='first', inplace=False)
cleaned_data = all_data.dropna()
sentences = cleaned_data['text']
y = cleaned_data['airline_sentiment']
numerical_outcomes=y.replace(["positive","negative","neutral"],[1,0,2])
import nltk
nltk.download('stopwords')
from nltk.corpus import stopwords
eng_stops = set(stopwords.words('english'))
# Create word tokens
new_sentences=removing_stop_words(sentences)
from sklearn.model_selection import train_test_split # imports module from package
x_train, x_test, y_train, y_test = train_test_split(new_sentences, y, test_size=0.25, random_state=1000)
from sklearn.feature_extraction.text import CountVectorizer
#from io import StringIO
vectorizer = CountVectorizer()
vectorizer.fit(x_train)
#docs_new_train = [ StringIO.StringIO(x) for x in x_train]
#docs_new_test = [ StringIO.StringIO(x) for x in x_test]
X_train = vectorizer.transform(x_train)
X_test = vectorizer.transform(x_test)
from sklearn.linear_model import LogisticRegression
classifier = LogisticRegression()
classifier.fit(X_train, y_train)
score = classifier.score(X_test, y_test)
print("\n Accuracy:", score) #model accuracy
#
#########################################################
###Predicting the sentiment of user input
#########################################################
txt = input("Enter expression: ")
test_sentences = [txt]
test_bag = vectorizer.transform(test_sentences)
result_label = classifier.predict(test_bag) #predicting the class
result_score = classifier.predict_proba(test_bag) #Probobilities of belonging to both classes
#
if result_label==1:
print("Positive", result_score)
else:
print("Negative", result_score)
| 22.05 | 105 | 0.676644 |
bb8fa677b509d4b926b1c8e7fd1bc0528332c98d | 909 | py | Python | pinax/lms/activities/migrations/0007_migrate.py | pinax/pinax-lms-activities | e73109038e1e0a8c71cc52f278e03bf645f3a16a | [
"MIT"
] | 10 | 2015-03-04T01:37:02.000Z | 2019-06-04T04:59:44.000Z | pinax/lms/activities/migrations/0007_migrate.py | pinax/pinax-lms-activities | e73109038e1e0a8c71cc52f278e03bf645f3a16a | [
"MIT"
] | 8 | 2016-01-16T14:58:16.000Z | 2020-06-22T20:30:14.000Z | pinax/lms/activities/migrations/0007_migrate.py | pinax/pinax-lms-activities | e73109038e1e0a8c71cc52f278e03bf645f3a16a | [
"MIT"
] | 4 | 2015-09-18T02:04:39.000Z | 2020-10-14T20:10:57.000Z | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import migrations
| 30.3 | 89 | 0.716172 |
bb929e575f401e612607d5e41db450d40dd8a099 | 2,430 | py | Python | django-ingredient-field/dj_ingredient_field/widgets.py | makspll/django-ingredient-field | 8f2067d1546a45d0c8b9c5dc551571b1f5ccf7b2 | [
"MIT"
] | null | null | null | django-ingredient-field/dj_ingredient_field/widgets.py | makspll/django-ingredient-field | 8f2067d1546a45d0c8b9c5dc551571b1f5ccf7b2 | [
"MIT"
] | 10 | 2021-08-29T11:21:29.000Z | 2021-09-14T17:09:45.000Z | django-ingredient-field/dj_ingredient_field/widgets.py | makspll/django-ingredient-field | 8f2067d1546a45d0c8b9c5dc551571b1f5ccf7b2 | [
"MIT"
] | null | null | null | """
The list of ingredient choices is quite large, so this module provides lazy loaded widgets which help
reducing loading times.
"""
from django import forms
| 33.287671 | 216 | 0.635802 |
bb93be6fbacaf91fef33d78741e67ae984dd8a0a | 6,830 | py | Python | pycap/ethernet.py | Blueswing/pycap | 19e579ec0c362939f1c7ebe87773e24e36ccdec2 | [
"MIT"
] | null | null | null | pycap/ethernet.py | Blueswing/pycap | 19e579ec0c362939f1c7ebe87773e24e36ccdec2 | [
"MIT"
] | null | null | null | pycap/ethernet.py | Blueswing/pycap | 19e579ec0c362939f1c7ebe87773e24e36ccdec2 | [
"MIT"
] | null | null | null | import struct
import subprocess
from abc import ABCMeta
from functools import lru_cache
from typing import Union, Tuple, Optional
from .base import Header, Protocol
from .constants import *
ETH_TYPE_IP = 0x0800
ETH_TYPE_ARP = 0x0806
ETH_TYPE_RARP = 0x8035
ETH_TYPE_SNMP = 0x814c
ETH_TYPE_IPV6 = 0x086dd
ETH_TYPE_MPLS_UNICAST = 0x8847
ETH_TYPE_MPLS_MULTICAST = 0x8848
ETH_TYPE_PPPOE_DISCOVERY = 0x8864
ETH_TYPE_PPPOE_SESSION = 0x8864
_ETH_TYPE_MAP = {
ETH_TYPE_IP: PROTOCOL_IP,
ETH_TYPE_ARP: PROTOCOL_ARP,
ETH_TYPE_RARP: PROTOCOL_RARP,
ETH_TYPE_SNMP: PROTOCOL_SNMP,
ETH_TYPE_IPV6: PROTOCOL_IPV6,
ETH_TYPE_MPLS_UNICAST: PROTOCOL_MPLS,
ETH_TYPE_MPLS_MULTICAST: PROTOCOL_MPLS,
ETH_TYPE_PPPOE_DISCOVERY: PROTOCOL_PPPOE,
ETH_TYPE_PPPOE_SESSION: PROTOCOL_PPPOE
}
ETH_P_ALL = 0x3 # capture all ethernet types
ETH_P_NOT_SET = 0x0 # only receive
_ETH_II_FMT = '>BBBBBBBBBBBBH'
_ETH_802_3_FMT = '>BBBBBBBBBBBBHL'
"""
This packet structure describes the pseudo-header added by Linux system.
+---------------------------+
| Packet type |
| (2 Octets) |
+---------------------------+
| ARPHRD_ type |
| (2 Octets) |
+---------------------------+
| Link-layer address length |
| (2 Octets) |
+---------------------------+
| Link-layer address |
| (8 Octets) |
+---------------------------+
| Protocol type |
| (2 Octets) |
+---------------------------+
The packet type field is in network byte order (big-endian); it contains a value that is one of:
0, if the packet was specifically sent to us by somebody else;
1, if the packet was broadcast by somebody else;
2, if the packet was multicast, but not broadcast, by somebody else;
3, if the packet was sent to somebody else by somebody else;
4, if the packet was sent by us.
reference:
https://www.tcpdump.org/linktypes/LINKTYPE_LINUX_SLL.html
"""
_LINK_LAYER_PACKET_TYPE_MAP = {
0x0: 'unicast to us',
0x1: 'boardcast to us',
0x2: 'multicast to us',
0x3: 'not sent to us',
0x4: 'sent by us'
}
_interfaces = None
def describe_eth_type(eth_type: int):
if eth_type in _ETH_TYPE_MAP:
return _ETH_TYPE_MAP[eth_type]
return f'Unknown {eth_type}'
def describe_packet_type(packet_type: int):
if packet_type in _LINK_LAYER_PACKET_TYPE_MAP:
return _LINK_LAYER_PACKET_TYPE_MAP[packet_type]
return f'Unknown {packet_type}'
| 28.22314 | 101 | 0.615959 |
bb949682762af25e0d9e85b1dcc96637afca8f13 | 60 | py | Python | doc/example.py | jtpio/jupyterlab-python-bytecode | 23c3d4e228829743b65685d8796cf1bc95fd88ba | [
"BSD-3-Clause"
] | 58 | 2018-09-30T00:08:57.000Z | 2022-01-15T20:54:02.000Z | doc/example.py | jtpio/jupyterlab-python-bytecode | 23c3d4e228829743b65685d8796cf1bc95fd88ba | [
"BSD-3-Clause"
] | 7 | 2018-09-30T09:55:32.000Z | 2021-04-20T09:50:36.000Z | doc/example.py | jtpio/jupyterlab-python-bytecode | 23c3d4e228829743b65685d8796cf1bc95fd88ba | [
"BSD-3-Clause"
] | 4 | 2019-03-03T07:18:50.000Z | 2022-02-27T01:19:12.000Z | for i in range(10):
pass
j = 0
while j < 10:
j += 1 | 10 | 19 | 0.483333 |
bb94c39fa96235061eee688defe888eb7cca4d44 | 238 | py | Python | utils/schedulers.py | Shawn-Guo-CN/EmergentNumerals | ef9786e5bd6c8c456143ad305742340e510f5edb | [
"MIT"
] | 2 | 2019-08-16T21:37:55.000Z | 2019-08-18T18:11:28.000Z | utils/schedulers.py | Shawn-Guo-CN/EmergentNumerals | ef9786e5bd6c8c456143ad305742340e510f5edb | [
"MIT"
] | null | null | null | utils/schedulers.py | Shawn-Guo-CN/EmergentNumerals | ef9786e5bd6c8c456143ad305742340e510f5edb | [
"MIT"
] | null | null | null | from utils.conf import args | 19.833333 | 27 | 0.512605 |
bb94df94114e25069a2e0c94c2a3c7a8d9c17d5d | 408 | py | Python | pymongo_cursor_json_encoder/__init__.py | rogervila/python-mongo-json-encoder | 63dfc9bbe6702c6bacca8b6aa04b17a6f6fbd918 | [
"MIT"
] | 1 | 2021-01-14T16:08:45.000Z | 2021-01-14T16:08:45.000Z | pymongo_cursor_json_encoder/__init__.py | rogervila/python-mongo-json-encoder | 63dfc9bbe6702c6bacca8b6aa04b17a6f6fbd918 | [
"MIT"
] | null | null | null | pymongo_cursor_json_encoder/__init__.py | rogervila/python-mongo-json-encoder | 63dfc9bbe6702c6bacca8b6aa04b17a6f6fbd918 | [
"MIT"
] | null | null | null | from datetime import datetime, date
from isodate import datetime_isoformat
from bson import ObjectId
from json import JSONEncoder
| 25.5 | 48 | 0.708333 |
bb965bb20b20b11f20bb0fdf749f18c3050f9707 | 893 | py | Python | Intermediate+/57/notes/server.py | Matthew1906/100DaysOfPython | 94ffff8f5535ce5d574f49c0d7971d64a4575aad | [
"MIT"
] | 1 | 2021-12-25T02:19:18.000Z | 2021-12-25T02:19:18.000Z | Intermediate+/57/notes/server.py | Matthew1906/100DaysOfPython | 94ffff8f5535ce5d574f49c0d7971d64a4575aad | [
"MIT"
] | null | null | null | Intermediate+/57/notes/server.py | Matthew1906/100DaysOfPython | 94ffff8f5535ce5d574f49c0d7971d64a4575aad | [
"MIT"
] | 1 | 2021-11-25T10:31:47.000Z | 2021-11-25T10:31:47.000Z | from flask import Flask, render_template
import random, datetime as dt, requests
app = Flask(__name__)
# Jinja = templating language
if __name__ == '__main__':
app.run(debug=True) | 37.208333 | 103 | 0.693169 |
bb9676589fb7e0a374aed04eb4cfbe0922559c82 | 3,041 | py | Python | game.py | MrEliptik/game_of_life | e0ff937ac1cf1a879e20c109a69700c77db71fcc | [
"MIT"
] | null | null | null | game.py | MrEliptik/game_of_life | e0ff937ac1cf1a879e20c109a69700c77db71fcc | [
"MIT"
] | null | null | null | game.py | MrEliptik/game_of_life | e0ff937ac1cf1a879e20c109a69700c77db71fcc | [
"MIT"
] | null | null | null | import pygame
import random
import time
import numpy as np
WHITE = 255, 255, 255
BLACK = 0, 0, 0
size = width, height = 480, 320
row = 32
col = 48
cell_width = (width//col)
cell_height = (height//row)
font_size = 60
FPS = 30
LIVE_P_MAX = 0.5;
LIVE_P_MIN = 0.01;
_grid = np.full((row, col), None)
screen = None
refresh_start_time = 0
if __name__ == "__main__":
refresh_start_time = time.time()
running = True
inpt = "y"
screen = init_screen()
random_init_grid(_grid)
display(_grid)
while(running):
start = time.time()
if ((time.time() - refresh_start_time) > 60):
random_init_grid(_grid)
display(_grid)
refresh_start_time = time.time()
for event in pygame.event.get():
if event.type == pygame.QUIT:
running = False
elif event.type == pygame.MOUSEBUTTONUP:
random_init_grid(_grid)
display(_grid)
# Copy new grid
_grid[:] = update_grid(_grid)
display(_grid)
while(time.time() - start < (1/FPS)):
pass
| 25.771186 | 110 | 0.577442 |
bb9746ac2f24608c4e049924c7fcb26f2cfddb65 | 794 | py | Python | azext_iot/monitor/models/target.py | lucadruda/azure-iot-cli-extension | 9d2f677d19580f8fbac860e079550167e743a237 | [
"MIT"
] | 79 | 2017-09-25T19:29:17.000Z | 2022-03-30T20:55:57.000Z | azext_iot/monitor/models/target.py | lucadruda/azure-iot-cli-extension | 9d2f677d19580f8fbac860e079550167e743a237 | [
"MIT"
] | 305 | 2018-01-17T01:12:10.000Z | 2022-03-23T22:38:11.000Z | azext_iot/monitor/models/target.py | lucadruda/azure-iot-cli-extension | 9d2f677d19580f8fbac860e079550167e743a237 | [
"MIT"
] | 69 | 2017-11-14T00:30:46.000Z | 2022-03-01T17:11:45.000Z | # 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.
# --------------------------------------------------------------------------------------------
| 33.083333 | 94 | 0.492443 |
bb9985f1334655b6b9bebcdea894cb35e74ef811 | 8,551 | py | Python | py2dm/_parser/_pyparser.py | leonhard-s/Py2DM | a2c4c193dfa4494f2c9117f580f99f0dbdc579fc | [
"MIT"
] | 6 | 2021-01-28T10:59:21.000Z | 2022-03-30T08:00:06.000Z | py2dm/_parser/_pyparser.py | leonhard-s/Py2DM | a2c4c193dfa4494f2c9117f580f99f0dbdc579fc | [
"MIT"
] | 7 | 2020-10-28T13:01:13.000Z | 2022-03-08T19:21:05.000Z | py2dm/_parser/_pyparser.py | leonhard-s/Py2DM | a2c4c193dfa4494f2c9117f580f99f0dbdc579fc | [
"MIT"
] | null | null | null | """Python implementation of the 2DM card parser."""
from typing import IO, List, Optional, Tuple, Union
from ..errors import CardError, FormatError, ReadError
_MetadataArgs = Tuple[
int, # num_nodes
int, # num_elements
int, # num_node_strings
Optional[str], # name
Optional[int], # num_materials_per_elem
int, # nodes start
int, # elements start
int] # node strings start
_ELEMENT_CARDS = [
'E2L',
'E3L',
'E3T',
'E4Q',
'E6T',
'E8Q',
'E9Q'
]
def parse_element(line: str, allow_float_matid: bool = True,
allow_zero_index: bool = False
) -> Tuple[int, Tuple[int, ...], Tuple[Union[int, float], ...]]:
"""Parse a string into an element.
This converts a valid element definition string into a tuple that
can be used to instantiate the corresponding
:class:`py2dm.Element` subclass.
"""
# Parse line
chunks = line.split('#', maxsplit=1)[0].split()
# Length (generic)
if len(chunks) < 4:
raise CardError('Element definitions require at least 3 fields '
f'(id, node_1, node_2), got {len(chunks)-1}')
# 2DM card
card = chunks[0]
if not _card_is_element(card):
raise CardError(f'Invalid element card "{card}"')
# Length (card known)
num_nodes = _nodes_per_element(card)
assert num_nodes > 0
if len(chunks) < num_nodes + 2:
raise CardError(
f'{card} element definition requires at least {num_nodes-1} '
f'fields (id, node_1, ..., node_{num_nodes-1}), got {len(chunks)-1}')
# Element ID
id_ = int(chunks[1])
if id_ <= 0 and not (id_ == 0 and allow_zero_index):
raise FormatError(f'Invalid element ID: {id_}')
# Node IDs
nodes: List[int] = []
for node_str in chunks[2:num_nodes+2]:
node_id = int(node_str)
if node_id < 0 and not (node_id == 0 and allow_zero_index):
raise FormatError(f'Invalid node ID: {node_id}')
nodes.append(node_id)
# Material IDs
materials: List[Union[int, float]] = []
for mat_str in chunks[num_nodes+2:]:
mat_id: Union[int, float]
try:
mat_id = int(mat_str)
except ValueError as err:
if not allow_float_matid:
raise err from err
mat_id = float(mat_str)
materials.append(mat_id)
return id_, tuple(nodes), tuple(materials)
def parse_node(line: str, allow_zero_index: bool = False
) -> Tuple[int, float, float, float]:
"""Parse a string into a node.
This converts a valid node definition string into a tuple that can
be used to isntantiate the corresponding :class:`py2dm.Node`
object.
"""
# Parse line
chunks = line.split('#', maxsplit=1)[0].split()
# Length
if len(chunks) < 5:
raise CardError(f'Node definitions require at least 4 fields '
f'(id, x, y, z), got {len(chunks)-1}')
# 2DM card
card = chunks[0]
if card != "ND":
raise CardError(f'Invalid node card "{card}"')
# Node ID
id_ = int(chunks[1])
if id_ <= 0 and not (id_ == 0 and allow_zero_index):
raise FormatError(f'Invalid node ID: {id_}')
# Coordinates
pos_x, pos_y, pos_z = tuple((float(s) for s in chunks[2:5]))
# TODO: Warn about unused fields
return id_, pos_x, pos_y, pos_z
def parse_node_string(line: str, allow_zero_index: bool = False,
nodes: Optional[List[int]] = None
) -> Tuple[List[int], bool, str]:
"""Parse a string into a node string.
This converts a valid node string definition string into a tuple
that can be used to instantiate the corresponding
:class:`py2dm.NodeString`.
As nodestring can span multiple lines, the node string should only
be created once the `done` flag (second entry in the returned
tuple) is set to True.
"""
# Set default value
if nodes is None:
nodes = []
# Parse line
chunks = line.split('#', maxsplit=1)[0].split()
# Length
if len(chunks) < 2:
raise CardError('Node string definitions require at least 1 field '
f'(node_id), got {len(chunks)-1}')
# 2DM card
card = chunks[0]
if card != 'NS':
raise CardError(f'Invalid node string card "{card}"')
# Node IDs
is_done: bool = False
name = ''
for index, node_str in enumerate(chunks[1:]):
node_id = int(node_str)
if node_id == 0 and not allow_zero_index:
raise FormatError(f'Invalid node ID: {node_id}')
if node_id < 0:
# End of node string
is_done = True
nodes.append(abs(node_id))
# Check final identifier
if index+2 < len(chunks):
name = chunks[index+2]
break
nodes.append(node_id)
return nodes, is_done, name
| 34.479839 | 82 | 0.571161 |
bb9b59ff879eaecfcc8190f0acec7f2068109681 | 1,024 | py | Python | src/commands/refactor/refactor_preview.py | PranjalPansuriya/JavaScriptEnhancements | 14af4162e86585153cbd4614ad96dff64a0d3192 | [
"MIT"
] | 690 | 2017-04-11T06:45:01.000Z | 2022-03-21T23:20:29.000Z | src/commands/refactor/refactor_preview.py | PranjalPansuriya/JavaScriptEnhancements | 14af4162e86585153cbd4614ad96dff64a0d3192 | [
"MIT"
] | 74 | 2017-11-22T18:05:26.000Z | 2021-05-05T16:25:31.000Z | src/commands/refactor/refactor_preview.py | PranjalPansuriya/JavaScriptEnhancements | 14af4162e86585153cbd4614ad96dff64a0d3192 | [
"MIT"
] | 42 | 2017-04-13T10:22:40.000Z | 2021-05-27T19:19:04.000Z | import sublime, sublime_plugin
from ...libs import util | 27.675676 | 92 | 0.657227 |
bb9bcfeb2dd370b17ad9dca9fef16bbcfa8e0721 | 583 | py | Python | 2020/08-1.py | matteodelabre/advent-of-code | a6f51222b52f948cec6aa94cb7c50bcfd4f53dc1 | [
"CC0-1.0"
] | 1 | 2021-12-02T05:16:11.000Z | 2021-12-02T05:16:11.000Z | 2020/08-1.py | matteodelabre/advent-of-code | a6f51222b52f948cec6aa94cb7c50bcfd4f53dc1 | [
"CC0-1.0"
] | null | null | null | 2020/08-1.py | matteodelabre/advent-of-code | a6f51222b52f948cec6aa94cb7c50bcfd4f53dc1 | [
"CC0-1.0"
] | null | null | null | import re
instruction_regex = re.compile(r'(nop|acc|jmp) ([+-][0-9]+)')
program = []
try:
while True:
name, arg = instruction_regex.match(input()).groups()
program.append([name, arg, 0])
except EOFError:
pass
pc = 0
accu = 0
while program[pc][2] == 0:
program[pc][2] = 1
if program[pc][0] == 'nop':
pc += 1
elif program[pc][0] == 'acc':
accu += int(program[pc][1])
pc += 1
elif program[pc][0] == 'jmp':
pc += int(program[pc][1])
else:
print('invalid instruction:', program[pc][0])
print(accu)
| 19.433333 | 61 | 0.535163 |
bb9be141e5411cc766db75440f10f9dcc54c52eb | 736 | py | Python | Apps/aulas/migrations/0017_alter_planejamento_data_envio_alter_resposta_data.py | arthur-asilva/rc_plataforma | 7e6f7eb7f9a3b9089c02db98518b60d8e481ce4c | [
"BSD-2-Clause"
] | null | null | null | Apps/aulas/migrations/0017_alter_planejamento_data_envio_alter_resposta_data.py | arthur-asilva/rc_plataforma | 7e6f7eb7f9a3b9089c02db98518b60d8e481ce4c | [
"BSD-2-Clause"
] | null | null | null | Apps/aulas/migrations/0017_alter_planejamento_data_envio_alter_resposta_data.py | arthur-asilva/rc_plataforma | 7e6f7eb7f9a3b9089c02db98518b60d8e481ce4c | [
"BSD-2-Clause"
] | null | null | null | # Generated by Django 4.0 on 2022-01-14 13:45
import datetime
from django.db import migrations, models
| 29.44 | 122 | 0.629076 |
bba2237b5b7c85261e503e0da56569ea8a05972a | 5,018 | py | Python | models/lenet.py | calinbiberea/imperial-individual-project | 86f224f183b8348d21b4c7a4aed408cd1ca41df1 | [
"MIT"
] | null | null | null | models/lenet.py | calinbiberea/imperial-individual-project | 86f224f183b8348d21b4c7a4aed408cd1ca41df1 | [
"MIT"
] | null | null | null | models/lenet.py | calinbiberea/imperial-individual-project | 86f224f183b8348d21b4c7a4aed408cd1ca41df1 | [
"MIT"
] | null | null | null | '''
A LeNet-5 in PyTorch.
Reference:
Yann LeCun et al, 1998.
Gradient-Based Learning Applied to Document Recognition.
[Paper] Available at: <http://yann.lecun.com/exdb/publis/pdf/lecun-01a.pdf>
[Accessed 26 December 2021].
'''
import torch.nn as nn
import torch.nn.functional as F
# Defining the Network (LeNet-5)
| 28.191011 | 86 | 0.559785 |
bba24784bd9ee9a55803728f5cef4460717a8929 | 7,228 | py | Python | tests/env/experiments_tools_2.py | weifanjiang/CSSPy | 361d18d7b9c08bcff11a18524a718b3522c48786 | [
"MIT"
] | 3 | 2018-10-04T14:00:50.000Z | 2021-12-11T08:57:26.000Z | tests/env/experiments_tools_2.py | weifanjiang/CSSPy | 361d18d7b9c08bcff11a18524a718b3522c48786 | [
"MIT"
] | null | null | null | tests/env/experiments_tools_2.py | weifanjiang/CSSPy | 361d18d7b9c08bcff11a18524a718b3522c48786 | [
"MIT"
] | null | null | null | import sys
sys.path.insert(0, '..')
import numpy as np
import pandas as pd
from itertools import combinations
from scipy.stats import binom
import scipy.special
import matplotlib.pyplot as plt
import matplotlib.patches as mpatches
from IPython.display import display, HTML
#sys.path.append("../")
from FrameBuilder.eigenstepsbuilder import *
from decimal import *
from copy import deepcopy
import matplotlib.lines as mlines
import matplotlib.transforms as mtransforms
from env.numerical_analysis_dpp import *
| 45.175 | 152 | 0.731046 |
bba40b13a90f7230a2307e2b965c7e2e96ab0207 | 1,562 | py | Python | utils/relationship_tree/population.py | rohern/attila | e876af57ee3b77144343ac3c22e798733753a23f | [
"MIT"
] | null | null | null | utils/relationship_tree/population.py | rohern/attila | e876af57ee3b77144343ac3c22e798733753a23f | [
"MIT"
] | null | null | null | utils/relationship_tree/population.py | rohern/attila | e876af57ee3b77144343ac3c22e798733753a23f | [
"MIT"
] | 1 | 2020-02-21T20:08:43.000Z | 2020-02-21T20:08:43.000Z | from person import Person
| 38.097561 | 123 | 0.640845 |
bba4b6f4a62fce3404ab57f827ef1473938bae93 | 348 | py | Python | cmdline.py | 30emeciel/freshdesk-token-exchange | 3e449735c20d53061941c77443da6dc7b8ea9e24 | [
"MIT"
] | null | null | null | cmdline.py | 30emeciel/freshdesk-token-exchange | 3e449735c20d53061941c77443da6dc7b8ea9e24 | [
"MIT"
] | null | null | null | cmdline.py | 30emeciel/freshdesk-token-exchange | 3e449735c20d53061941c77443da6dc7b8ea9e24 | [
"MIT"
] | null | null | null |
if __name__ == "__main__":
# export GOOGLE_APPLICATION_CREDENTIALS="trentiemeciel.json"
# get the token using postman
from dotenv import load_dotenv
load_dotenv()
import main
freshdesk_token = main.convert_auth0_token_to_freshdesk_token("gtxiNvJMjuDGec7GUziM2qSupsnCu74I")
print(f"freshdesk_token: {freshdesk_token}")
| 31.636364 | 101 | 0.767241 |
bba5ec5ee218ef30daab10fe172b51c78e3cf3a4 | 4,040 | py | Python | auto_encoder.py | kredy/Keras-Projects | 44c9a7b27f31a8d3eaa7b3bc7a0396d2eb0bf430 | [
"MIT"
] | 1 | 2021-06-30T13:25:35.000Z | 2021-06-30T13:25:35.000Z | auto_encoder.py | kredy/Keras-Projects | 44c9a7b27f31a8d3eaa7b3bc7a0396d2eb0bf430 | [
"MIT"
] | null | null | null | auto_encoder.py | kredy/Keras-Projects | 44c9a7b27f31a8d3eaa7b3bc7a0396d2eb0bf430 | [
"MIT"
] | 2 | 2020-08-04T01:52:55.000Z | 2021-03-16T19:12:20.000Z | '''
Convolutional autoencoder on MNIST dataset using Keras functional API
'''
from keras.datasets import mnist
from keras.models import Model
from keras.layers import Activation, Input, BatchNormalization
from keras.layers import Conv2D, Conv2DTranspose
from keras.callbacks import TensorBoard
from keras.optimizers import Adam
from keras.utils import to_categorical
import matplotlib.pyplot as plt
import matplotlib.image as mpimg
import numpy as np
# Parameters
batch_size = 128
epochs = 3
Tboard = TensorBoard(log_dir='./autoencoder_graph')
# Load the MNIST data
# Autoencoder
if __name__ == '__main__':
main()
| 35.438596 | 118 | 0.693069 |
bba73b50d8937afbf151ac7cc18f80271ca8fda7 | 499 | py | Python | test/unit/tools/msvc/common.py | jimporter/bfg9000 | c206646ecfed0d1a510e993b93e6a15677f45a14 | [
"BSD-3-Clause"
] | 72 | 2015-06-23T02:35:13.000Z | 2021-12-08T01:47:40.000Z | test/unit/tools/msvc/common.py | jimporter/bfg9000 | c206646ecfed0d1a510e993b93e6a15677f45a14 | [
"BSD-3-Clause"
] | 139 | 2015-03-01T18:48:17.000Z | 2021-06-18T15:45:14.000Z | test/unit/tools/msvc/common.py | jimporter/bfg9000 | c206646ecfed0d1a510e993b93e6a15677f45a14 | [
"BSD-3-Clause"
] | 19 | 2015-12-23T21:24:33.000Z | 2022-01-06T04:04:41.000Z | from bfg9000.languages import Languages
known_langs = Languages()
with known_langs.make('c') as x:
x.vars(compiler='CC', flags='CFLAGS')
with known_langs.make('c++') as x:
x.vars(compiler='CXX', flags='CXXFLAGS')
| 26.263158 | 68 | 0.639279 |
bba7b25014664dee8876feca1599b36413d6ce96 | 93 | py | Python | Gate_bases.py | jlfly12/qrsim | 1f5340cdc4f6cc0ca7ecbebd49ba8c6f78afdb8c | [
"Apache-2.0"
] | null | null | null | Gate_bases.py | jlfly12/qrsim | 1f5340cdc4f6cc0ca7ecbebd49ba8c6f78afdb8c | [
"Apache-2.0"
] | null | null | null | Gate_bases.py | jlfly12/qrsim | 1f5340cdc4f6cc0ca7ecbebd49ba8c6f78afdb8c | [
"Apache-2.0"
] | 1 | 2019-06-21T17:55:00.000Z | 2019-06-21T17:55:00.000Z | x = "X"
y = "Y"
z = "Z"
xx = "XX"
h = "H"
cnot = "CNOT"
s_phi = "S_phi"
identity = "Identity" | 11.625 | 21 | 0.494624 |
bbabb955113863d40c2a80d48e3d2cd18a7d9577 | 164 | py | Python | flake8diff/test_flake8.py | miki725/flake8-diff | bec04390ce9263fc7957ccb7fcf39d582fa8d4ad | [
"MIT"
] | 18 | 2015-03-10T20:05:57.000Z | 2020-08-12T20:46:00.000Z | flake8diff/test_flake8.py | miki725/flake8-diff | bec04390ce9263fc7957ccb7fcf39d582fa8d4ad | [
"MIT"
] | 20 | 2015-03-21T19:39:12.000Z | 2020-05-26T15:25:33.000Z | flake8diff/test_flake8.py | miki725/flake8-diff | bec04390ce9263fc7957ccb7fcf39d582fa8d4ad | [
"MIT"
] | 7 | 2015-03-21T19:12:31.000Z | 2018-09-28T20:56:45.000Z | from unittest import TestCase
from flake8diff import flake8
| 18.222222 | 35 | 0.737805 |
bbabba632a1d8ac671dc7f863d9ffae0e405f07a | 1,266 | py | Python | algorithm/linear-regression/gradientDescentLR.py | mk43/machine-learning | 1ca1baf797fe6f593a88ad4e0d7ac7e5c24ce139 | [
"Apache-2.0"
] | 6 | 2018-02-22T00:27:44.000Z | 2019-11-21T18:12:48.000Z | algorithm/linear-regression/gradientDescentLR.py | mk43/machine-learning | 1ca1baf797fe6f593a88ad4e0d7ac7e5c24ce139 | [
"Apache-2.0"
] | null | null | null | algorithm/linear-regression/gradientDescentLR.py | mk43/machine-learning | 1ca1baf797fe6f593a88ad4e0d7ac7e5c24ce139 | [
"Apache-2.0"
] | 4 | 2018-02-19T05:59:23.000Z | 2020-04-08T08:53:02.000Z | # coding: utf-8
import matplotlib.pyplot as plt
import numpy as np
N = 200
X = np.linspace(0, 10, N * 2)
noise = np.random.normal(0, 0.5, X.shape)
Y = X * 0.5 + 3 + noise
Training_Times = 100
Learning_Rate = 0.002
loss = []
W_trace = [-1]
b_trace = [1]
gradientDescent(X, Y, W_trace[0], b_trace[0], learningrate=Learning_Rate, trainingtimes=Training_Times)
print(W_trace[-1], b_trace[-1])
fig = plt.figure()
plt.title(r'$loss\ function\ change\ tendency$')
plt.xlabel(r'$learning\ times$')
plt.ylabel(r'$loss\ value$')
plt.plot(np.linspace(1, Training_Times, Training_Times), loss)
plt.savefig("gradientDescentLR.png")
plt.show()
| 26.375 | 103 | 0.661137 |
bbac3dea77b9a3981684ddd7952fdf41e36843fc | 6,343 | py | Python | lambda-email-parser/lambda_function.py | aws-samples/serverless-mail | a002dd90817c9eb2090ca0ad36114c51a0490d61 | [
"MIT-0"
] | null | null | null | lambda-email-parser/lambda_function.py | aws-samples/serverless-mail | a002dd90817c9eb2090ca0ad36114c51a0490d61 | [
"MIT-0"
] | null | null | null | lambda-email-parser/lambda_function.py | aws-samples/serverless-mail | a002dd90817c9eb2090ca0ad36114c51a0490d61 | [
"MIT-0"
] | null | null | null | import os
import boto3
import email
import logging
import json
import re
import uuid
s3 = boto3.client("s3")
workmail_message_flow = boto3.client('workmailmessageflow')
logger = logging.getLogger()
| 40.922581 | 164 | 0.653003 |
bbadddc2fe8f7e7eaa30c11c13f2a1d11f2721db | 1,757 | py | Python | scripts/latency/filebench.py | huangvincent170/cyclone | 737af617ab1472dfb16e6c20a079e88dccf85850 | [
"Apache-2.0"
] | 2 | 2019-04-16T01:33:36.000Z | 2021-02-23T08:34:38.000Z | scripts/latency/filebench.py | huangvincent170/cyclone | 737af617ab1472dfb16e6c20a079e88dccf85850 | [
"Apache-2.0"
] | null | null | null | scripts/latency/filebench.py | huangvincent170/cyclone | 737af617ab1472dfb16e6c20a079e88dccf85850 | [
"Apache-2.0"
] | 4 | 2020-03-27T18:06:33.000Z | 2021-03-24T09:56:17.000Z | #!/usr/bin/env python
import argparse
import sys
import os
import shutil
DBG = 1
__home = os.getcwd()
__fbench_home = '/home/pfernando/filebench' #binary
__empty = ''
__micro_rread = 'micro_rread'
__workload_l = []
__workload_l.append(__micro_rread)
parser = argparse.ArgumentParser(prog="runscript", description="script to run filebench")
parser.add_argument('-w', dest='workload', default=__empty, help='', choices=__workload_l)
parser.add_argument('-io', dest='iosize', default=__empty, help='')
try:
args = parser.parse_args()
except:
sys.exit(0)
if __name__ == '__main__':
w = args.workload
io = args.iosize
if w == __micro_rread:
__iosize = io
msg("io size : " + io)
dataobj = {"iosize": io}
fb(__micro_rread,dataobj)
else:
sys.exit(0)
| 17.928571 | 90 | 0.575413 |
bbaeca43c2d4bafe283a3a22b25235f71d730c45 | 12,685 | py | Python | python_modules/dagster-airflow/dagster_airflow/operators.py | jake-billings/dagster | 7a1548a1f246c48189f3d8109e831b744bceb7d4 | [
"Apache-2.0"
] | null | null | null | python_modules/dagster-airflow/dagster_airflow/operators.py | jake-billings/dagster | 7a1548a1f246c48189f3d8109e831b744bceb7d4 | [
"Apache-2.0"
] | null | null | null | python_modules/dagster-airflow/dagster_airflow/operators.py | jake-billings/dagster | 7a1548a1f246c48189f3d8109e831b744bceb7d4 | [
"Apache-2.0"
] | null | null | null | '''The dagster-airflow operators.'''
import ast
import datetime
import json
import logging
import os
from contextlib import contextmanager
from airflow.exceptions import AirflowException
from airflow.models import BaseOperator, SkipMixin
from airflow.operators.docker_operator import DockerOperator
from airflow.operators.python_operator import PythonOperator
from airflow.utils.file import TemporaryDirectory
from docker import APIClient, from_env
from dagster import check, seven, DagsterEventType
from dagster.core.events import DagsterEvent
from dagster_graphql.client.mutations import execute_start_pipeline_execution_query
from dagster_graphql.client.query import START_PIPELINE_EXECUTION_QUERY
from .util import airflow_storage_exception, construct_variables, parse_raw_res
DOCKER_TEMPDIR = '/tmp'
DEFAULT_ENVIRONMENT = {
'AWS_ACCESS_KEY_ID': os.getenv('AWS_ACCESS_KEY_ID'),
'AWS_SECRET_ACCESS_KEY': os.getenv('AWS_SECRET_ACCESS_KEY'),
}
LINE_LENGTH = 100
def get_hook(self):
if self.docker_conn_id_set:
return super(DagsterDockerOperator, self).get_hook()
return _DummyHook()
def execute(self, context):
try:
from dagster_graphql.client.mutations import (
handle_start_pipeline_execution_errors,
handle_start_pipeline_execution_result,
)
except ImportError:
raise AirflowException(
'To use the DagsterPythonOperator, dagster and dagster_graphql must be installed '
'in your Airflow environment.'
)
if 'run_id' in self.params:
self._run_id = self.params['run_id']
elif 'dag_run' in context and context['dag_run'] is not None:
self._run_id = context['dag_run'].run_id
try:
raw_res = super(DagsterDockerOperator, self).execute(context)
self.log.info('Finished executing container.')
res = parse_raw_res(raw_res)
handle_start_pipeline_execution_errors(res)
events = handle_start_pipeline_execution_result(res)
self.skip_self_if_necessary(events, context['execution_date'], context['task'])
return events
finally:
self._run_id = None
# This is a class-private name on DockerOperator for no good reason --
# all that the status quo does is inhibit extension of the class.
# See https://issues.apache.org/jira/browse/AIRFLOW-3880
| 36.346705 | 100 | 0.633662 |
bbaf14d78f29821d3e6ffec013b3447b60e7a43a | 293 | py | Python | app-receiver/receiver/service/settings.py | makaay/devops_assignment | 937a0877e869c3e6ca09bad35ab869901527e492 | [
"BSD-2-Clause"
] | null | null | null | app-receiver/receiver/service/settings.py | makaay/devops_assignment | 937a0877e869c3e6ca09bad35ab869901527e492 | [
"BSD-2-Clause"
] | null | null | null | app-receiver/receiver/service/settings.py | makaay/devops_assignment | 937a0877e869c3e6ca09bad35ab869901527e492 | [
"BSD-2-Clause"
] | 1 | 2022-03-05T13:11:30.000Z | 2022-03-05T13:11:30.000Z | import os
"""
This file contains configurations for receiver service.
The configurations can be over-ridden with Environment Variables during run time.
"""
OUTPUT_DIR = os.getenv("OUTPUT_DIR", "/usr/src/app-receiver/output")
DECRYPTION_KEY = os.getenv("DECRYPTION_KEY", "/tmp/decryption_key")
| 36.625 | 81 | 0.78157 |
bbaf9c88715d3ed6658c5b7cac9f3b5786ab4dad | 908 | py | Python | setup.py | patel-zeel/CGLB-1 | 6afab3631704ae4233e93c2de289b4e351f61838 | [
"Apache-2.0"
] | 5 | 2021-07-19T09:08:15.000Z | 2022-03-21T10:19:08.000Z | setup.py | patel-zeel/CGLB-1 | 6afab3631704ae4233e93c2de289b4e351f61838 | [
"Apache-2.0"
] | 5 | 2021-08-30T20:24:52.000Z | 2021-11-29T07:24:51.000Z | setup.py | patel-zeel/CGLB-1 | 6afab3631704ae4233e93c2de289b4e351f61838 | [
"Apache-2.0"
] | 1 | 2021-11-25T22:15:27.000Z | 2021-11-25T22:15:27.000Z | # Copyright 2021 The CGLB 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 setuptools import setup, find_packages
pkgs = find_packages()
setup(
name="cglb",
author="Artem Artemev, David Burt",
author_email="a.artemev20@imperial.ac.uk, drb62@cam.ac.uk",
version="0.0.1",
packages=pkgs,
install_requires=["numpy", "scipy"],
dependency_links=[],
)
| 32.428571 | 74 | 0.732379 |
bbb379a767a5b56faec727f2a03bfb35f2d9f7df | 5,361 | py | Python | automation/aux_funcs.py | jaimiles23/hacker_rank | 0580eac82e5d0989afabb5c2e66faf09713f891b | [
"Apache-2.0"
] | null | null | null | automation/aux_funcs.py | jaimiles23/hacker_rank | 0580eac82e5d0989afabb5c2e66faf09713f891b | [
"Apache-2.0"
] | null | null | null | automation/aux_funcs.py | jaimiles23/hacker_rank | 0580eac82e5d0989afabb5c2e66faf09713f891b | [
"Apache-2.0"
] | 3 | 2021-09-22T11:06:58.000Z | 2022-01-25T09:29:24.000Z | """Collection of functions related to navigating directories
"""
##########
# Imports
##########
import os
from typing import Union
from pathlib import Path
from logger.select_chall import logging
import constants
from domains import problem_domains
from git import Repo
##########
# Subdomain dir_name
##########
def get_subdomain_dirname(subdomain_num: int, total_subdomains: int, subdomain: str) -> str:
"""Returns directory name for subdirectory.
Args:
subdomain_num (int): Subdomain number
total_subdomains (int): Total number of subdomains
subdomain (str): Subdomain name.
Returns:
str: directory name
"""
logging.debug(f"Subdir info: {subdomain_num}, {total_subdomains}, {subdomain}")
subdomain_num, total_subdomains = str(subdomain_num), str(total_subdomains)
if total_subdomains == '1': # specific challenges, e.g., 10 days of stats
subdomain_num = ''
else:
while len(subdomain_num) < len(total_subdomains):
subdomain_num = '0' + subdomain_num
subdomain_num += '_'
subdir_name = subdomain_num + subdomain.strip().lower().replace(' ', '_')
logging.debug(f"subdir - {subdir_name}")
return subdir_name
##########
# Change dir
##########
def change_dir(domain_dir: str):
"""Changes the current working directory.
Creates directory if it doesn't exist.
Also creates a pre-READMEME.md file.
Args:
domain_dir: directory to change to.
"""
if not os.path.exists( domain_dir):
logging.info(f"DIR - creating {domain_dir}")
os.mkdir(domain_dir)
logging.info(f"DIR - changing to {domain_dir}")
os.chdir(domain_dir)
return
##########
# get dirname
##########
def get_dirname(dir_path: Path) -> str:
"""returns directory name from windows filepath
Args:
dir_path (Path): path oject
Returns:
str: directory name
"""
dirname = str(dir_path.resolve())
dirname = dirname[dirname.rfind('\\') + 1:]
logging.debug(f"Dirname {dirname} from {dir_path}")
return dirname
##########
# get_domain_dirs
##########
def get_domain_dirs(home_dir: object) -> list:
"""Returns list of domain directories.
Args:
home_dir (object): Home directory
Returns:
list: List of domain directories
"""
domain_dirs = []
for d in problem_domains:
domain_dir = home_dir / d.name
domain_dirs.append(domain_dir)
logging.debug("DIR - Domain dirs:" + '\n-'.join(
[str(d) for d in domain_dirs]))
return domain_dirs
##########
# get_subdomain_dirs
##########
def get_subdomain_dirs(domain_dir) -> list:
"""Returns list of subdomain dirs.
Args:
domain_dir ([type]): Domain directory.
Returns:
list: Returns list of subdomain directories.
"""
not_subdirs = (
'.ipynb_checkpoints'
)
p = Path(domain_dir)
subdirs = []
for f in p.glob('**/*'):
if f.is_dir():
dir_name = get_dirname(f)
logging.debug(f"Check dir - {dir_name}")
if dir_name not in not_subdirs:
subdirs.append(f)
logging.debug("DIR - Subdomain dirs:" + '\n-'.join(
[str(d) for d in subdirs]))
return subdirs
##########
# Challenge csv name
##########
def get_chall_csv_filename(sub_dir) -> str:
"""Returns csv name containing challenge informatin.
Args:
sub_dir ([type]): sub directory name
Returns:
str: csv filename
"""
p = Path(sub_dir)
for f in p.glob('**/*'):
filename = str(f)
if filename.endswith(".csv"):
return filename
raise Exception(f"No csv located in {sub_dir}")
##########
# pre readme
##########
def make_readme_setup(name: str, url: str):
"""Creates pre-readme in file."""
filename = constants.PRE_README_FILENAME
if not os.path.exists( filename):
with open(filename, 'w') as outfile:
outfile.write(f"# {name}")
outfile.write(f"\nContains solutions to [{name}]({url}).")
return
##########
# Make file
##########
def make_file(filename: str, name: str, url: str) -> None:
"""Checks if file exists. If it doesn't exist, creates file."""
exists = os.path.exists(filename)
logging.debug(f"{filename} - {exists}")
if os.path.exists(filename):
return
logging.debug(f"FILE - Creating {filename}")
with open(filename, 'w') as outfile:
outfile.write(f"Solution to [{name}]({url})")
return
##########
# Update github
##########
def update_github(home_dir: object, commit_msg: str) -> None:
"""Updates github directory.
Args:
home_dir (object): home dir pathlib
commit_msg (str): Commit message
"""
repo = Repo(home_dir)
repo.git.add(update = True)
repo.index.commit(commit_msg)
logging.debug(f"Committing: {commit_msg}")
origin = repo.remote(name = 'origin')
origin.push()
logging.debug("Pushed to repo.")
def get_solution_commit_msg(domain: Path, subdomain: Path, chall_name: str) -> str:
"""Returns commit message for adding solution."""
domain_name = get_dirname(domain)
subdomain_name = get_dirname(subdomain)
return f"Solution to {domain_name} {subdomain_name} - {chall_name}"
| 23.933036 | 92 | 0.610707 |
bbb3c58e4009e852c11d677005377bc7618636b3 | 2,581 | py | Python | tests/examples/minlplib/ex6_2_8.py | ouyang-w-19/decogo | 52546480e49776251d4d27856e18a46f40c824a1 | [
"MIT"
] | 2 | 2021-07-03T13:19:10.000Z | 2022-02-06T10:48:13.000Z | tests/examples/minlplib/ex6_2_8.py | ouyang-w-19/decogo | 52546480e49776251d4d27856e18a46f40c824a1 | [
"MIT"
] | 1 | 2021-07-04T14:52:14.000Z | 2021-07-15T10:17:11.000Z | tests/examples/minlplib/ex6_2_8.py | ouyang-w-19/decogo | 52546480e49776251d4d27856e18a46f40c824a1 | [
"MIT"
] | null | null | null | # NLP written by GAMS Convert at 04/21/18 13:51:45
#
# Equation counts
# Total E G L N X C B
# 2 2 0 0 0 0 0 0
#
# Variable counts
# x b i s1s s2s sc si
# Total cont binary integer sos1 sos2 scont sint
# 4 4 0 0 0 0 0 0
# FX 0 0 0 0 0 0 0 0
#
# Nonzero counts
# Total const NL DLL
# 7 4 3 0
#
# Reformulation has removed 1 variable and 1 equation
from pyomo.environ import *
model = m = ConcreteModel()
m.x2 = Var(within=Reals,bounds=(1E-6,1),initialize=0.7154)
m.x3 = Var(within=Reals,bounds=(1E-6,1),initialize=0.00336)
m.x4 = Var(within=Reals,bounds=(1E-6,1),initialize=0.28124)
m.obj = Objective(expr=log(2.4088*m.x2 + 8.8495*m.x3 + 2.0086*m.x4)*(10.4807341082197*m.x2 + 38.5043409542885*m.x3 +
8.73945638067505*m.x4) + 0.303602206615077*m.x2 - 3.98949602721008*m.x3 + 0.0423576909050935*m.x4
+ 0.240734108219679*log(m.x2)*m.x2 + 2.64434095428848*log(m.x3)*m.x3 + 0.399456380675047*log(
m.x4)*m.x4 - 0.240734108219679*log(2.4088*m.x2 + 8.8495*m.x3 + 2.0086*m.x4)*m.x2 -
2.64434095428848*log(2.4088*m.x2 + 8.8495*m.x3 + 2.0086*m.x4)*m.x3 - 0.399456380675047*log(2.4088
*m.x2 + 8.8495*m.x3 + 2.0086*m.x4)*m.x4 + 11.24*log(m.x2)*m.x2 + 36.86*log(m.x3)*m.x3 + 9.34*log(
m.x4)*m.x4 - 11.24*log(2.248*m.x2 + 7.372*m.x3 + 1.868*m.x4)*m.x2 - 36.86*log(2.248*m.x2 + 7.372*
m.x3 + 1.868*m.x4)*m.x3 - 9.34*log(2.248*m.x2 + 7.372*m.x3 + 1.868*m.x4)*m.x4 + log(2.248*m.x2 +
7.372*m.x3 + 1.868*m.x4)*(2.248*m.x2 + 7.372*m.x3 + 1.868*m.x4) + 2.248*log(m.x2)*m.x2 + 7.372*
log(m.x3)*m.x3 + 1.868*log(m.x4)*m.x4 - 2.248*log(2.248*m.x2 + 5.82088173817021*m.x3 +
0.382446861901943*m.x4)*m.x2 - 7.372*log(0.972461133672523*m.x2 + 7.372*m.x3 + 1.1893141713454*
m.x4)*m.x3 - 1.868*log(1.86752460515164*m.x2 + 2.61699842799583*m.x3 + 1.868*m.x4)*m.x4 -
12.7287341082197*log(m.x2)*m.x2 - 45.8763409542885*log(m.x3)*m.x3 - 10.607456380675*log(m.x4)*
m.x4, sense=minimize)
m.c2 = Constraint(expr= m.x2 + m.x3 + m.x4 == 1)
| 57.355556 | 120 | 0.484696 |
bbb5023852d401d52fa04fa5275d3dce5dbc5d18 | 3,790 | py | Python | Cartwheel/lib/Python26/Lib/site-packages/OpenGL/raw/GL/NV/geometry_program4.py | MontyThibault/centre-of-mass-awareness | 58778f148e65749e1dfc443043e9fc054ca3ff4d | [
"MIT"
] | null | null | null | Cartwheel/lib/Python26/Lib/site-packages/OpenGL/raw/GL/NV/geometry_program4.py | MontyThibault/centre-of-mass-awareness | 58778f148e65749e1dfc443043e9fc054ca3ff4d | [
"MIT"
] | null | null | null | Cartwheel/lib/Python26/Lib/site-packages/OpenGL/raw/GL/NV/geometry_program4.py | MontyThibault/centre-of-mass-awareness | 58778f148e65749e1dfc443043e9fc054ca3ff4d | [
"MIT"
] | null | null | null | '''OpenGL extension NV.geometry_program4
The official definition of this extension is available here:
http://oss.sgi.com/projects/ogl-sample/registry/NV/geometry_program4.txt
Automatically generated by the get_gl_extensions script, do not edit!
'''
from OpenGL import platform, constants, constant, arrays
from OpenGL import extensions
from OpenGL.GL import glget
import ctypes
EXTENSION_NAME = 'GL_NV_geometry_program4'
GL_LINES_ADJACENCY_EXT = constant.Constant( 'GL_LINES_ADJACENCY_EXT', 0xA )
GL_LINE_STRIP_ADJACENCY_EXT = constant.Constant( 'GL_LINE_STRIP_ADJACENCY_EXT', 0xB )
GL_TRIANGLES_ADJACENCY_EXT = constant.Constant( 'GL_TRIANGLES_ADJACENCY_EXT', 0xC )
GL_TRIANGLE_STRIP_ADJACENCY_EXT = constant.Constant( 'GL_TRIANGLE_STRIP_ADJACENCY_EXT', 0xD )
GL_GEOMETRY_PROGRAM_NV = constant.Constant( 'GL_GEOMETRY_PROGRAM_NV', 0x8C26 )
GL_MAX_PROGRAM_OUTPUT_VERTICES_NV = constant.Constant( 'GL_MAX_PROGRAM_OUTPUT_VERTICES_NV', 0x8C27 )
GL_MAX_PROGRAM_TOTAL_OUTPUT_COMPONENTS_NV = constant.Constant( 'GL_MAX_PROGRAM_TOTAL_OUTPUT_COMPONENTS_NV', 0x8C28 )
GL_GEOMETRY_VERTICES_OUT_EXT = constant.Constant( 'GL_GEOMETRY_VERTICES_OUT_EXT', 0x8DDA )
GL_GEOMETRY_INPUT_TYPE_EXT = constant.Constant( 'GL_GEOMETRY_INPUT_TYPE_EXT', 0x8DDB )
GL_GEOMETRY_OUTPUT_TYPE_EXT = constant.Constant( 'GL_GEOMETRY_OUTPUT_TYPE_EXT', 0x8DDC )
GL_MAX_GEOMETRY_TEXTURE_IMAGE_UNITS_EXT = constant.Constant( 'GL_MAX_GEOMETRY_TEXTURE_IMAGE_UNITS_EXT', 0x8C29 )
GL_FRAMEBUFFER_ATTACHMENT_LAYERED_EXT = constant.Constant( 'GL_FRAMEBUFFER_ATTACHMENT_LAYERED_EXT', 0x8DA7 )
GL_FRAMEBUFFER_INCOMPLETE_LAYER_TARGETS_EXT = constant.Constant( 'GL_FRAMEBUFFER_INCOMPLETE_LAYER_TARGETS_EXT', 0x8DA8 )
GL_FRAMEBUFFER_INCOMPLETE_LAYER_COUNT_EXT = constant.Constant( 'GL_FRAMEBUFFER_INCOMPLETE_LAYER_COUNT_EXT', 0x8DA9 )
GL_FRAMEBUFFER_ATTACHMENT_TEXTURE_LAYER_EXT = constant.Constant( 'GL_FRAMEBUFFER_ATTACHMENT_TEXTURE_LAYER_EXT', 0x8CD4 )
GL_PROGRAM_POINT_SIZE_EXT = constant.Constant( 'GL_PROGRAM_POINT_SIZE_EXT', 0x8642 )
glProgramVertexLimitNV = platform.createExtensionFunction(
'glProgramVertexLimitNV', dll=platform.GL,
extension=EXTENSION_NAME,
resultType=None,
argTypes=(constants.GLenum, constants.GLint,),
doc = 'glProgramVertexLimitNV( GLenum(target), GLint(limit) ) -> None',
argNames = ('target', 'limit',),
)
glFramebufferTextureEXT = platform.createExtensionFunction(
'glFramebufferTextureEXT', dll=platform.GL,
extension=EXTENSION_NAME,
resultType=None,
argTypes=(constants.GLenum, constants.GLenum, constants.GLuint, constants.GLint,),
doc = 'glFramebufferTextureEXT( GLenum(target), GLenum(attachment), GLuint(texture), GLint(level) ) -> None',
argNames = ('target', 'attachment', 'texture', 'level',),
)
glFramebufferTextureLayerEXT = platform.createExtensionFunction(
'glFramebufferTextureLayerEXT', dll=platform.GL,
extension=EXTENSION_NAME,
resultType=None,
argTypes=(constants.GLenum, constants.GLenum, constants.GLuint, constants.GLint, constants.GLint,),
doc = 'glFramebufferTextureLayerEXT( GLenum(target), GLenum(attachment), GLuint(texture), GLint(level), GLint(layer) ) -> None',
argNames = ('target', 'attachment', 'texture', 'level', 'layer',),
)
glFramebufferTextureFaceEXT = platform.createExtensionFunction(
'glFramebufferTextureFaceEXT', dll=platform.GL,
extension=EXTENSION_NAME,
resultType=None,
argTypes=(constants.GLenum, constants.GLenum, constants.GLuint, constants.GLint, constants.GLenum,),
doc = 'glFramebufferTextureFaceEXT( GLenum(target), GLenum(attachment), GLuint(texture), GLint(level), GLenum(face) ) -> None',
argNames = ('target', 'attachment', 'texture', 'level', 'face',),
)
def glInitGeometryProgram4NV():
'''Return boolean indicating whether this extension is available'''
return extensions.hasGLExtension( EXTENSION_NAME )
| 54.927536 | 129 | 0.814248 |
bbb6e0ba861fbcb599f8a5421f34367fccb32fdd | 1,158 | py | Python | src/redcli/application/services/logger.py | Zhouhao12345/redcli | 8a8260b0799e8524d0c339df8dfe6bcfb22f1841 | [
"MIT"
] | 6 | 2019-12-02T02:38:40.000Z | 2021-02-05T06:40:56.000Z | src/redcli/application/services/logger.py | Zhouhao12345/redcli | 8a8260b0799e8524d0c339df8dfe6bcfb22f1841 | [
"MIT"
] | null | null | null | src/redcli/application/services/logger.py | Zhouhao12345/redcli | 8a8260b0799e8524d0c339df8dfe6bcfb22f1841 | [
"MIT"
] | 1 | 2019-12-02T04:19:08.000Z | 2019-12-02T04:19:08.000Z | from ..constant import Service as Service_Key
from .base import Service
import logging
| 27.571429 | 71 | 0.607945 |
bbb715e2f390dc18e086c2e84959bf7e23c5b5d0 | 324 | py | Python | Exec/GravityTests/zeldovich_dm/analysis/zeldovich.py | Gosenca/axionyx_1.0 | 7e2a723e00e6287717d6d81b23db32bcf6c3521a | [
"BSD-3-Clause-LBNL"
] | 72 | 2017-06-16T17:20:25.000Z | 2021-12-18T12:45:58.000Z | Exec/GravityTests/zeldovich_dm/analysis/zeldovich.py | Gosenca/axionyx_1.0 | 7e2a723e00e6287717d6d81b23db32bcf6c3521a | [
"BSD-3-Clause-LBNL"
] | 37 | 2017-05-07T04:20:04.000Z | 2022-02-03T19:16:59.000Z | Exec/GravityTests/zeldovich_dm/analysis/zeldovich.py | Gosenca/axionyx_1.0 | 7e2a723e00e6287717d6d81b23db32bcf6c3521a | [
"BSD-3-Clause-LBNL"
] | 30 | 2017-05-18T21:14:45.000Z | 2022-03-23T20:50:24.000Z | import numpy as np
| 23.142857 | 72 | 0.530864 |
bbb782cb3b44f4866569b38680bb03a8e7730b26 | 10,441 | py | Python | pgtrigger/tests/test_multi_db.py | tiholic/django-pgtrigger | ef8878115bef1a933405ab86d7f7c117252d970c | [
"BSD-3-Clause"
] | 135 | 2020-06-27T14:02:46.000Z | 2021-05-27T01:07:41.000Z | pgtrigger/tests/test_multi_db.py | tiholic/django-pgtrigger | ef8878115bef1a933405ab86d7f7c117252d970c | [
"BSD-3-Clause"
] | 25 | 2021-06-19T20:28:52.000Z | 2022-03-22T23:14:59.000Z | pgtrigger/tests/test_multi_db.py | tiholic/django-pgtrigger | ef8878115bef1a933405ab86d7f7c117252d970c | [
"BSD-3-Clause"
] | 7 | 2020-06-29T02:26:05.000Z | 2021-04-25T14:42:33.000Z | """Tests multi-database support"""
import contextlib
import io
import sys
from django.core.management import call_command
import django.test
import pgtrigger
import pgtrigger.tests.models as test_models
| 37.422939 | 79 | 0.514702 |
bbb7c8daf68cfc0db3531104ebe1585494d2cd41 | 192 | py | Python | jude_customization/jude_customization/doctype/atlantic_fluid_configuration/test_atlantic_fluid_configuration.py | mymi14s/jude_customization | 6de7173a03cedf8c712c2d05453c821dff7eec58 | [
"MIT"
] | null | null | null | jude_customization/jude_customization/doctype/atlantic_fluid_configuration/test_atlantic_fluid_configuration.py | mymi14s/jude_customization | 6de7173a03cedf8c712c2d05453c821dff7eec58 | [
"MIT"
] | null | null | null | jude_customization/jude_customization/doctype/atlantic_fluid_configuration/test_atlantic_fluid_configuration.py | mymi14s/jude_customization | 6de7173a03cedf8c712c2d05453c821dff7eec58 | [
"MIT"
] | 2 | 2020-11-09T16:22:52.000Z | 2020-12-19T20:52:10.000Z | # Copyright (c) 2021, Anthony Emmanuel, github.com/mymi14ss and Contributors
# See license.txt
# import frappe
import unittest
| 21.333333 | 76 | 0.807292 |
bbb7c9d675be21d26531a6e1f3de3d231a427a1e | 1,224 | py | Python | scale/scale/local_settings_TRAVIS-CI.py | stevevarner/scale | 9623b261db4ddcf770f00df16afc91176142bb7c | [
"Apache-2.0"
] | null | null | null | scale/scale/local_settings_TRAVIS-CI.py | stevevarner/scale | 9623b261db4ddcf770f00df16afc91176142bb7c | [
"Apache-2.0"
] | null | null | null | scale/scale/local_settings_TRAVIS-CI.py | stevevarner/scale | 9623b261db4ddcf770f00df16afc91176142bb7c | [
"Apache-2.0"
] | null | null | null | # Settings file for use with travis-ci
# Include all the default settings.
from settings import *
# Use the following lines to enable developer/debug mode.
DEBUG = False
TEMPLATES[0]['OPTIONS']['debug'] = DEBUG
# Set the external URL context here
FORCE_SCRIPT_NAME = '/'
USE_X_FORWARDED_HOST = True
ALLOWED_HOSTS = ["*"]
STATIC_ROOT = 'static'
STATIC_URL = '/static/'
# Local time zone for this installation. Choices can be found here:
# http://en.wikipedia.org/wiki/List_of_tz_zones_by_name
# Not all choices may be available on all operating systems.
# In a Windows environment this must be set to your system time zone.
TIME_ZONE = 'UTC'
SECRET_KEY = "0fnk28edjh"
# The template database to use when creating your new database.
# By using your own template that already includes the postgis extension,
# you can avoid needing to run the unit tests as a PostgreSQL superuser.
#POSTGIS_TEMPLATE = 'scale'
DATABASES = {
'default': {
'ENGINE': 'django.contrib.gis.db.backends.postgis',
'NAME': 'scale',
'USER': 'postgres',
'PASSWORD': '',
'HOST': 'localhost',
},
}
# Master settings
MESOS_MASTER = 'zk://localhost:2181/mesos'
# Metrics collection directory
METRICS_DIR = '/tmp'
| 26.042553 | 73 | 0.718137 |
bbbaccac8596eecef7a731177661a6286ed440a5 | 1,316 | py | Python | scoring/dictionary/YAQ93.py | majazeh/risloo-samples | aadf27912a5044663698fa14fa781c644ea3f548 | [
"Unlicense"
] | null | null | null | scoring/dictionary/YAQ93.py | majazeh/risloo-samples | aadf27912a5044663698fa14fa781c644ea3f548 | [
"Unlicense"
] | null | null | null | scoring/dictionary/YAQ93.py | majazeh/risloo-samples | aadf27912a5044663698fa14fa781c644ea3f548 | [
"Unlicense"
] | 1 | 2021-03-07T09:15:55.000Z | 2021-03-07T09:15:55.000Z | f1 = 'intentionally_not_thinking_about_upsetting_things'
f2 = 'substance_abuse'
f3 = 'denial_of_unhappiness'
f4 = 'excessive_rationality_and_control'
f5 = 'suppression_of_anger'
f6 = 'psychosomatic_symptoms'
f7 = 'denial_of_memories'
f8 = 'withdrawal_from_people'
f9 = 'avoidance_through_sleep_and_lack of energy'
f10 = 'distraction_through_activity'
f11 = 'self_soothing_like_eating_shopping_etc'
f12 = 'passive_blocking_of_upsetting_emotions'
f13 = 'passive_distraction_fantasy_daydreaming_television'
f14 = 'avoidance_of_upsetting_situations'
factors_names = (f1,f2,f3,f4,f5,f6,f7,f8,f9,f10,f11,f12,f13,f14,f15)
factors = {
1 :(f1,)
, 2 :(f2,)
, 3 :(f3,)
, 4 :(f3,)
, 5 :(f4,)
, 6 :(f5,)
, 7:(f2,)
, 8 :(f7 ,)
, 9 :(f2,f11,)
, 10 :(f6 ,)
, 11 :(f12 ,)
, 12 :(f6 ,)
, 13 :(f5 , f8,)
, 14 :(f9 ,)
, 15 :(f6 ,)
, 16 :(f13 ,)
, 17 :(f4,)
, 18 :(f5 ,)
, 19 :(f4,)
, 20 :(f8 ,)
, 21 :(f7,)
, 22 :(f9 ,)
, 23 :(f10 ,)
, 24 :(f10 ,)
, 25 :(f13 ,)
, 26 :(f11 ,)
, 27 :(f7 ,)
, 28:(f10 ,)
, 29 :(f3,)
, 30 :(f8 ,)
, 31 :(f1 ,)
, 32 :(f1 ,)
, 33 :(f12 ,)
, 34 :(f3,)
, 35 :(f4,)
, 36 :(f11 ,)
, 37 :(f14 ,)
, 38 :(f6,)
, 39 :(f12 ,)
, 40 :(f4 , f12,) #
} | 21.225806 | 68 | 0.521277 |
bbbae9f34a49725dac76a6810057af802194d6d9 | 327 | py | Python | labgraph/websockets/ws_server/ws_server_stream_message.py | Yunusbcr/labgraph | a00ae7098b7b0e0eda8ce2e7e62dae86854616fb | [
"MIT"
] | 124 | 2021-07-14T21:25:59.000Z | 2022-03-08T20:40:16.000Z | labgraph/websockets/ws_server/ws_server_stream_message.py | Yunusbcr/labgraph | a00ae7098b7b0e0eda8ce2e7e62dae86854616fb | [
"MIT"
] | 46 | 2021-07-16T18:41:11.000Z | 2022-03-31T20:53:00.000Z | labgraph/websockets/ws_server/ws_server_stream_message.py | Yunusbcr/labgraph | a00ae7098b7b0e0eda8ce2e7e62dae86854616fb | [
"MIT"
] | 22 | 2021-07-16T18:34:56.000Z | 2022-03-31T15:12:06.000Z | #!/usr/bin/env python3
# Copyright 2004-present Facebook. All Rights Reserved.
import numpy as np
from ...messages import Message
| 18.166667 | 61 | 0.703364 |
bbbb396fd5ddce2bf132ab9fc786735f3c60216f | 11,400 | py | Python | scripts/lib/smart.py | lpenuelac/ImageAnalysis | a01b1278cca92e45fef6f5e41d1310cfbb041308 | [
"MIT"
] | 93 | 2015-11-26T14:15:51.000Z | 2022-03-10T13:54:21.000Z | scripts/lib/smart.py | lpenuelac/ImageAnalysis | a01b1278cca92e45fef6f5e41d1310cfbb041308 | [
"MIT"
] | 19 | 2017-04-06T11:09:21.000Z | 2022-03-05T20:12:39.000Z | scripts/lib/smart.py | lpenuelac/ImageAnalysis | a01b1278cca92e45fef6f5e41d1310cfbb041308 | [
"MIT"
] | 30 | 2017-06-12T16:08:51.000Z | 2022-01-28T17:34:04.000Z | # code to estimate world surface elevation and EKF yaw error from
# image direct pose informaation.
# - trianglulate image features (in 3d) based on camera poses
# - use essential/fundamental matrix + camera pose to estimate yaw error
# - use affine transformation + camera pose to estimate yaw error
import cv2
import math
import numpy as np
import os
from props import getNode
import props_json
from . import camera
from . import image
from .logger import log, qlog
from . import project
from . import srtm
r2d = 180 / math.pi
d2r = math.pi / 180
smart_node = getNode("/smart", True)
# compute the 3d triangulation of the matches between a pair of images
# find (forward) affine transformation between feature pairs
# return individual components of affine transform: rot, tx, ty, sx,
# sy (units are degrees and pixels)
# average of the triangulated points (converted to positive elevation)
# Estimate image pose yaw error (based on found pairs affine
# transform, original image pose, and gps positions; assumes a mostly
# nadir camara pose.) After computering affine transform, project
# image 2 center uv into image1 uv space and compute approximate
# course in local uv space, then add this to direct pose yaw estimate
# and compare to gps course.
# compute the pairwise surface estimate and then update the property
# tree records
# compute the pairwise surface estimate and then update the property
# tree records
# return the average of estimated surfaces below the image pair
# find srtm surface altitude under each camera pose
| 33.236152 | 78 | 0.635351 |
bbbbbd636a90f7a83f3583eed93d7178ff373d2b | 162 | py | Python | notification/urls.py | zaska-afk/twitterclone-zaska-afk | 9a2c0d86f4c359fc6f943e2f0cb56c1681bc2bb2 | [
"MIT"
] | null | null | null | notification/urls.py | zaska-afk/twitterclone-zaska-afk | 9a2c0d86f4c359fc6f943e2f0cb56c1681bc2bb2 | [
"MIT"
] | null | null | null | notification/urls.py | zaska-afk/twitterclone-zaska-afk | 9a2c0d86f4c359fc6f943e2f0cb56c1681bc2bb2 | [
"MIT"
] | null | null | null | from django.urls import path
from notification import views
urlpatterns = [
path('notifications/<int:id>/', views.notification_view, name='notifications'),
] | 27 | 83 | 0.759259 |
bbbdb4df5c383e2a41743d8bacdff942a6c94c7d | 3,229 | py | Python | portal/migrations/versions/4b1e5b7b69eb_.py | ivan-c/truenth-portal | 0b9d39ae43f42ea3413ed9634f295f5d856cbc77 | [
"BSD-3-Clause"
] | 3 | 2017-01-15T10:11:57.000Z | 2018-10-02T23:46:44.000Z | portal/migrations/versions/4b1e5b7b69eb_.py | pep8speaks/true_nth_usa_portal | 31ff755b0cfe61ab908e2a399e3c41ef17ca8c16 | [
"BSD-3-Clause"
] | 876 | 2016-04-04T20:45:11.000Z | 2019-02-28T00:10:36.000Z | portal/migrations/versions/4b1e5b7b69eb_.py | pep8speaks/true_nth_usa_portal | 31ff755b0cfe61ab908e2a399e3c41ef17ca8c16 | [
"BSD-3-Clause"
] | 9 | 2016-04-13T01:18:55.000Z | 2018-09-19T20:44:23.000Z | """empty message
Revision ID: 4b1e5b7b69eb
Revises: 13d1c714823a
Create Date: 2017-01-19 12:36:55.339537
"""
# revision identifiers, used by Alembic.
revision = '4b1e5b7b69eb'
down_revision = '13d1c714823a'
import re
from alembic import op
import sqlalchemy as sa
from sqlalchemy.orm import sessionmaker
from portal.models.audit import Audit
from portal.models.user import User
Session = sessionmaker()
| 33.28866 | 91 | 0.59585 |
bbbf9065c2092f796276d52d4458d16e60c9b5cb | 97 | py | Python | tadataka/__init__.py | IshitaTakeshi/DVO | 2c5a3db1db7e651bfaa7808bbf79a6c1c6a42fc5 | [
"Apache-2.0"
] | 7 | 2019-12-20T07:19:11.000Z | 2021-07-22T03:25:12.000Z | tadataka/__init__.py | IshitaTakeshi/DVO | 2c5a3db1db7e651bfaa7808bbf79a6c1c6a42fc5 | [
"Apache-2.0"
] | null | null | null | tadataka/__init__.py | IshitaTakeshi/DVO | 2c5a3db1db7e651bfaa7808bbf79a6c1c6a42fc5 | [
"Apache-2.0"
] | null | null | null | from tadataka.visual_odometry import VisualOdometry
from tadataka.camera import CameraParameters
| 32.333333 | 51 | 0.896907 |
bbc06ee508b4f1069613557ce6ed45315a87cb10 | 639 | py | Python | bisect/36003.py | simonjayhawkins/pandas | 9f571c58d7796dac8fd1aa2301cf4aa30ad7143a | [
"PSF-2.0",
"Apache-2.0",
"BSD-3-Clause-No-Nuclear-License-2014",
"MIT",
"MIT-0",
"ECL-2.0",
"BSD-3-Clause"
] | 1 | 2022-02-22T17:13:16.000Z | 2022-02-22T17:13:16.000Z | bisect/36003.py | simonjayhawkins/pandas | 9f571c58d7796dac8fd1aa2301cf4aa30ad7143a | [
"PSF-2.0",
"Apache-2.0",
"BSD-3-Clause-No-Nuclear-License-2014",
"MIT",
"MIT-0",
"ECL-2.0",
"BSD-3-Clause"
] | null | null | null | bisect/36003.py | simonjayhawkins/pandas | 9f571c58d7796dac8fd1aa2301cf4aa30ad7143a | [
"PSF-2.0",
"Apache-2.0",
"BSD-3-Clause-No-Nuclear-License-2014",
"MIT",
"MIT-0",
"ECL-2.0",
"BSD-3-Clause"
] | null | null | null | import datetime
import pandas as pd
import pandas.testing as tm
print(pd.__version__)
df = pd.DataFrame(
{
"A": ["X", "Y"],
"B": [
datetime.datetime(2005, 1, 1, 10, 30, 23, 540000),
datetime.datetime(3005, 1, 1, 10, 30, 23, 540000),
],
}
)
print(df)
print(df.dtypes)
result = df.groupby("A").B.max()
print(result)
expected = pd.Series(
[
pd.Timestamp("2005-01-01 10:30:23.540000"),
datetime.datetime(3005, 1, 1, 10, 30, 23, 540000),
],
index=pd.Index(["X", "Y"], dtype="object", name="A"),
name="B",
)
tm.assert_series_equal(result, expected)
| 18.257143 | 62 | 0.56025 |
bbc4c27f8757a25bed0fa10e2091d91ec6470472 | 1,090 | py | Python | investment_report/urls.py | uktrade/pir-api | 79747ceab042c42c287e2b7471f6dade70f68693 | [
"MIT"
] | 1 | 2021-02-02T19:08:55.000Z | 2021-02-02T19:08:55.000Z | investment_report/urls.py | uktrade/invest-pir-api | be56efddf9dfdf81c8557441a9a54d9a4dd4bab1 | [
"MIT"
] | 21 | 2018-07-10T10:20:47.000Z | 2022-03-24T09:36:29.000Z | investment_report/urls.py | uktrade/pir-api | 79747ceab042c42c287e2b7471f6dade70f68693 | [
"MIT"
] | 1 | 2021-02-04T11:28:37.000Z | 2021-02-04T11:28:37.000Z | from django.conf.urls import url
from investment_report.views import utils
urlpatterns = [
url('preview/(?P<lang>[\w-]+)/(?P<market>[\w-]+)/(?P<sector>[\w-]+)/pdf',
utils.investment_report_pdf,
{'moderated': False},
name='preview_investment_report_pdf'),
url('current/(?P<lang>[\w-]+)/(?P<market>[\w-]+)/(?P<sector>[\w-]+)/pdf',
utils.investment_report_pdf,
name='investment_report_pdf'
),
url('preview/(?P<lang>[\w-]+)/(?P<market>[\w-]+)/(?P<sector>[\w-]+)/html',
utils.investment_report_html,
{'moderated': False},
name='investment_report_html'
),
url('current/(?P<lang>[\w-]+)/(?P<market>[\w-]+)/(?P<sector>[\w-]+)/html',
utils.investment_report_html,
{'moderated': True},
name='investment_report_html'
),
url('pir_csv', utils.pir_csv, name='pir_csv'),
url('devcss.css', utils.dev_css, name='dev_css'),
url('devcsslast.css', utils.dev_css_last, name='last_dev_css'),
url('devcssplain.css', utils.dev_css_plain, name='plain_dev_css'),
]
| 32.058824 | 78 | 0.589908 |
bbc5bdb8d114fadf0d6064c5f98954f19d27c09e | 2,823 | py | Python | docc/image.py | pirate42/docc | de8e27ce5ec2e1288bff8c17a1566bbc7a26ade1 | [
"MIT"
] | 1 | 2017-08-18T08:03:55.000Z | 2017-08-18T08:03:55.000Z | docc/image.py | pirate42/docc | de8e27ce5ec2e1288bff8c17a1566bbc7a26ade1 | [
"MIT"
] | null | null | null | docc/image.py | pirate42/docc | de8e27ce5ec2e1288bff8c17a1566bbc7a26ade1 | [
"MIT"
] | null | null | null | # coding=utf-8
from docc.exceptions import APIError
| 29.715789 | 77 | 0.597237 |
bbc710f8e283a69d3d2753dd21f132cb54a0681b | 1,607 | py | Python | ml_app_profile_analysis/ml_usage_analysis/fw_purpose_stat.py | RiS3-Lab/ModelXRay | 60a98718eaa91eeb15d0737a9728cee4d714edd2 | [
"Apache-2.0"
] | 13 | 2021-04-05T08:37:37.000Z | 2021-12-27T13:14:02.000Z | ml_app_profile_analysis/ml_usage_analysis/fw_purpose_stat.py | RiS3-Lab/ModelXRay | 60a98718eaa91eeb15d0737a9728cee4d714edd2 | [
"Apache-2.0"
] | 1 | 2021-05-21T01:54:51.000Z | 2021-11-19T07:36:47.000Z | ml_app_profile_analysis/ml_usage_analysis/fw_purpose_stat.py | RiS3-Lab/ModelXRay | 60a98718eaa91eeb15d0737a9728cee4d714edd2 | [
"Apache-2.0"
] | 2 | 2022-01-18T07:37:31.000Z | 2022-03-10T19:42:35.000Z | #!/usr/bin/env python
import argparse
fwmap = {'tensorflow':1,'caffe':2,'sensetime':3,'ncnn':4,'other':5,'mxnet':6,'uls':7,'mace':8,'tflite':9}
if __name__ == "__main__":
parser = argparse.ArgumentParser(prog='modelxray')
parser.add_argument('filelist',
help = 'list of files to be processed, like a,b,c')
args = parser.parse_args()
filelist = args.filelist.split(',')
(th,res) = process_filelist(filelist)
printres(th, res)
| 29.218182 | 141 | 0.514001 |
bbc76fa30b8fa88196b49d21f794c0cf68d9f17b | 595 | py | Python | email-service/rest_utils.py | Rudrarka/Alert-System | ed6d0c0566e70a13d13e6c65fa790f25d07fa99e | [
"MIT"
] | null | null | null | email-service/rest_utils.py | Rudrarka/Alert-System | ed6d0c0566e70a13d13e6c65fa790f25d07fa99e | [
"MIT"
] | null | null | null | email-service/rest_utils.py | Rudrarka/Alert-System | ed6d0c0566e70a13d13e6c65fa790f25d07fa99e | [
"MIT"
] | null | null | null | import os
import requests
| 28.333333 | 79 | 0.638655 |
bbc82f2eff9c39c28075f8ddd776994572815053 | 1,660 | py | Python | model/documentmanifest.py | beda-software/fhir-py-experements | 363cfb894fa6f971b9be19340cae1b0a3a4377d8 | [
"MIT"
] | null | null | null | model/documentmanifest.py | beda-software/fhir-py-experements | 363cfb894fa6f971b9be19340cae1b0a3a4377d8 | [
"MIT"
] | null | null | null | model/documentmanifest.py | beda-software/fhir-py-experements | 363cfb894fa6f971b9be19340cae1b0a3a4377d8 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Generated from FHIR 4.0.1-9346c8cc45 (http://hl7.org/fhir/StructureDefinition/DocumentManifest) on 2020-02-03.
# 2020, SMART Health IT.
import sys
from dataclasses import dataclass, field
from typing import ClassVar, Optional, List
from .backboneelement import BackboneElement
from .codeableconcept import CodeableConcept
from .domainresource import DomainResource
from .fhirdate import FHIRDate
from .fhirreference import FHIRReference
from .identifier import Identifier
| 33.2 | 113 | 0.751807 |
bbc90b64134d3ab6cf219527bed05e8373ac58a3 | 717 | py | Python | tests/core/test_lc.py | atsuki-kuwata/jaxsot | 7de5dd964c951661892c79e4447e9f314885a0a9 | [
"MIT"
] | 2 | 2022-03-01T23:50:08.000Z | 2022-03-22T15:25:34.000Z | tests/core/test_lc.py | atsuki-kuwata/jaxsot | 7de5dd964c951661892c79e4447e9f314885a0a9 | [
"MIT"
] | 8 | 2022-02-19T00:06:34.000Z | 2022-03-31T00:09:54.000Z | tests/core/test_lc.py | atsuki-kuwata/jaxsot | 7de5dd964c951661892c79e4447e9f314885a0a9 | [
"MIT"
] | 1 | 2022-03-01T22:39:00.000Z | 2022-03-01T22:39:00.000Z | """ test for lc
"""
import pytest
import numpy as np
from jaxsot.core.weight import comp_weight, comp_omega
from jaxsot.core.lc import gen_lightcurve
from jaxsot.io.earth import binarymap
if __name__=="__main__":
test_lc()
| 21.727273 | 63 | 0.679219 |
bbca0d47c796ae1504de61caad61827265203834 | 4,057 | py | Python | src/squad/kinematics/base.py | douglasdaly/spot-robot | 7a4fdd7eb5fe5fc2d31180ed6b9f7ea21647bea2 | [
"MIT"
] | null | null | null | src/squad/kinematics/base.py | douglasdaly/spot-robot | 7a4fdd7eb5fe5fc2d31180ed6b9f7ea21647bea2 | [
"MIT"
] | null | null | null | src/squad/kinematics/base.py | douglasdaly/spot-robot | 7a4fdd7eb5fe5fc2d31180ed6b9f7ea21647bea2 | [
"MIT"
] | null | null | null | from typing import Any, Dict
from squad.config import config
from squad.exceptions import FrozenError
| 32.198413 | 78 | 0.590338 |
bbcac82869e4955029c31c4d5ba367911fd7fe18 | 2,833 | py | Python | deep_image_compression/single_psnr.py | LichengXiao2017/deep-image-compression | cf6e5699bad4d7b4a0dd8db6da72aa0c56e3d1e4 | [
"MIT"
] | 9 | 2020-01-09T21:15:17.000Z | 2022-02-08T12:41:54.000Z | deep_image_compression/single_psnr.py | LichengXiao2017/deep-image-compression | cf6e5699bad4d7b4a0dd8db6da72aa0c56e3d1e4 | [
"MIT"
] | 8 | 2019-10-15T23:50:03.000Z | 2021-11-10T19:40:15.000Z | deep_image_compression/single_psnr.py | LichengXiao2017/enas-image-compression | cf6e5699bad4d7b4a0dd8db6da72aa0c56e3d1e4 | [
"MIT"
] | 3 | 2019-10-16T06:06:49.000Z | 2020-07-06T15:02:09.000Z | # -*- coding: utf-8 -*-
# Copyright 2019 Licheng Xiao. 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 tensorflow as tf
import numpy
import math
import cv2
import os
import logging
from os import listdir
from os.path import isfile, join
from absl import flags
flags.DEFINE_string("original_img", default=None,
help="Path for original image file.")
flags.DEFINE_string("compressed_img", default=None,
help="Path for compressed image file.")
flags.DEFINE_string("reconstructed_img", default=None,
help="Path for reconstructed image file.")
FLAGS = flags.FLAGS
if __name__ == "__main__":
tf.app.run()
| 37.276316 | 83 | 0.614896 |
bbcbbaa39a696df212fa670accc00b3ebb116dbd | 984 | py | Python | message/tests/utils/creators.py | ThePokerFaCcCe/messenger | 2db3d5c2ccd05ac40d2442a13d664ca9ad3cb14c | [
"MIT"
] | null | null | null | message/tests/utils/creators.py | ThePokerFaCcCe/messenger | 2db3d5c2ccd05ac40d2442a13d664ca9ad3cb14c | [
"MIT"
] | null | null | null | message/tests/utils/creators.py | ThePokerFaCcCe/messenger | 2db3d5c2ccd05ac40d2442a13d664ca9ad3cb14c | [
"MIT"
] | null | null | null | from message.models import Message, DeletedMessage, TextContent
from user.tests.utils import create_active_user
from conversation.tests.utils import create_private_chat
| 31.741935 | 65 | 0.707317 |
bbcbbc848a277e8f627eea2957cd5be0baa2e598 | 350 | py | Python | excercises/6-0001/finger_excercises/iteration-1.py | obsessedyouth/simulacra | 530155664daf1aff06cb575c4c4073acbacdb32d | [
"MIT"
] | null | null | null | excercises/6-0001/finger_excercises/iteration-1.py | obsessedyouth/simulacra | 530155664daf1aff06cb575c4c4073acbacdb32d | [
"MIT"
] | null | null | null | excercises/6-0001/finger_excercises/iteration-1.py | obsessedyouth/simulacra | 530155664daf1aff06cb575c4c4073acbacdb32d | [
"MIT"
] | null | null | null | """
Replace the comment in the following code with a while loop.
numXs = int(input('How many times should I print the letter X? '))
toPrint = "
#concatenate X to toPrint numXs times
print(toPrint)
"""
numXs = int(input('How many times should I print the letter X? '))
toPrint = ""
while numXs > 0:
toPrint += "X"
numXs -= 1
print(toPrint)
| 20.588235 | 66 | 0.677143 |
bbcbf2b2a1cb0a8d47a18b0768f2227527626ab0 | 7,784 | py | Python | services/temperature_bands/temperature_bands_pb2.py | phgupta/XBOS | acc59f33600943569d62c145dae11a1775296b44 | [
"BSD-2-Clause"
] | 27 | 2016-04-26T17:26:56.000Z | 2021-08-22T15:11:55.000Z | services/temperature_bands/temperature_bands_pb2.py | phgupta/XBOS | acc59f33600943569d62c145dae11a1775296b44 | [
"BSD-2-Clause"
] | 75 | 2017-02-17T18:00:37.000Z | 2019-06-20T04:12:08.000Z | services/temperature_bands/temperature_bands_pb2.py | vishalbelsare/XBOS | 1fea0b024d97ae142d97b3a94510403928ed44b7 | [
"BSD-2-Clause"
] | 20 | 2017-07-28T14:50:04.000Z | 2020-01-16T05:04:54.000Z | # -*- coding: utf-8 -*-
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: temperature_bands.proto
import sys
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _reflection
from google.protobuf import symbol_database as _symbol_database
# @@protoc_insertion_point(imports)
_sym_db = _symbol_database.Default()
DESCRIPTOR = _descriptor.FileDescriptor(
name='temperature_bands.proto',
package='temperature_bands',
syntax='proto3',
serialized_options=_b('P\001'),
serialized_pb=_b('\n\x17temperature_bands.proto\x12\x11temperature_bands\"k\n\x0fScheduleRequest\x12\x10\n\x08\x62uilding\x18\x01 \x01(\t\x12\x0c\n\x04zone\x18\x02 \x01(\t\x12\r\n\x05start\x18\x03 \x01(\x03\x12\x0b\n\x03\x65nd\x18\x04 \x01(\x03\x12\x0e\n\x06window\x18\x05 \x01(\t\x12\x0c\n\x04unit\x18\x06 \x01(\t\"^\n\rSchedulePoint\x12\x0c\n\x04time\x18\x01 \x01(\x03\x12\x17\n\x0ftemperature_low\x18\x02 \x01(\x01\x12\x18\n\x10temperature_high\x18\x03 \x01(\x01\x12\x0c\n\x04unit\x18\x04 \x01(\t2\xc3\x01\n\tSchedules\x12Z\n\x0eGetComfortband\x12\".temperature_bands.ScheduleRequest\x1a .temperature_bands.SchedulePoint\"\x00\x30\x01\x12Z\n\x0eGetDoNotExceed\x12\".temperature_bands.ScheduleRequest\x1a .temperature_bands.SchedulePoint\"\x00\x30\x01\x42\x02P\x01\x62\x06proto3')
)
_SCHEDULEREQUEST = _descriptor.Descriptor(
name='ScheduleRequest',
full_name='temperature_bands.ScheduleRequest',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='building', full_name='temperature_bands.ScheduleRequest.building', index=0,
number=1, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=_b("").decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='zone', full_name='temperature_bands.ScheduleRequest.zone', index=1,
number=2, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=_b("").decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='start', full_name='temperature_bands.ScheduleRequest.start', index=2,
number=3, type=3, cpp_type=2, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='end', full_name='temperature_bands.ScheduleRequest.end', index=3,
number=4, type=3, cpp_type=2, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='window', full_name='temperature_bands.ScheduleRequest.window', index=4,
number=5, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=_b("").decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='unit', full_name='temperature_bands.ScheduleRequest.unit', index=5,
number=6, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=_b("").decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto3',
extension_ranges=[],
oneofs=[
],
serialized_start=46,
serialized_end=153,
)
_SCHEDULEPOINT = _descriptor.Descriptor(
name='SchedulePoint',
full_name='temperature_bands.SchedulePoint',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='time', full_name='temperature_bands.SchedulePoint.time', index=0,
number=1, type=3, cpp_type=2, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='temperature_low', full_name='temperature_bands.SchedulePoint.temperature_low', index=1,
number=2, type=1, cpp_type=5, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='temperature_high', full_name='temperature_bands.SchedulePoint.temperature_high', index=2,
number=3, type=1, cpp_type=5, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='unit', full_name='temperature_bands.SchedulePoint.unit', index=3,
number=4, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=_b("").decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto3',
extension_ranges=[],
oneofs=[
],
serialized_start=155,
serialized_end=249,
)
DESCRIPTOR.message_types_by_name['ScheduleRequest'] = _SCHEDULEREQUEST
DESCRIPTOR.message_types_by_name['SchedulePoint'] = _SCHEDULEPOINT
_sym_db.RegisterFileDescriptor(DESCRIPTOR)
ScheduleRequest = _reflection.GeneratedProtocolMessageType('ScheduleRequest', (_message.Message,), dict(
DESCRIPTOR = _SCHEDULEREQUEST,
__module__ = 'temperature_bands_pb2'
# @@protoc_insertion_point(class_scope:temperature_bands.ScheduleRequest)
))
_sym_db.RegisterMessage(ScheduleRequest)
SchedulePoint = _reflection.GeneratedProtocolMessageType('SchedulePoint', (_message.Message,), dict(
DESCRIPTOR = _SCHEDULEPOINT,
__module__ = 'temperature_bands_pb2'
# @@protoc_insertion_point(class_scope:temperature_bands.SchedulePoint)
))
_sym_db.RegisterMessage(SchedulePoint)
DESCRIPTOR._options = None
_SCHEDULES = _descriptor.ServiceDescriptor(
name='Schedules',
full_name='temperature_bands.Schedules',
file=DESCRIPTOR,
index=0,
serialized_options=None,
serialized_start=252,
serialized_end=447,
methods=[
_descriptor.MethodDescriptor(
name='GetComfortband',
full_name='temperature_bands.Schedules.GetComfortband',
index=0,
containing_service=None,
input_type=_SCHEDULEREQUEST,
output_type=_SCHEDULEPOINT,
serialized_options=None,
),
_descriptor.MethodDescriptor(
name='GetDoNotExceed',
full_name='temperature_bands.Schedules.GetDoNotExceed',
index=1,
containing_service=None,
input_type=_SCHEDULEREQUEST,
output_type=_SCHEDULEPOINT,
serialized_options=None,
),
])
_sym_db.RegisterServiceDescriptor(_SCHEDULES)
DESCRIPTOR.services_by_name['Schedules'] = _SCHEDULES
# @@protoc_insertion_point(module_scope)
| 38.92 | 784 | 0.751413 |
bbd055bb557e945cf33d02d1ba1783662b82c31f | 63 | py | Python | bot/exchange/__init__.py | colticol/bold-arbitrager | aef6683a3f41d47a51d24367819d183ecacea3a0 | [
"Apache-2.0"
] | null | null | null | bot/exchange/__init__.py | colticol/bold-arbitrager | aef6683a3f41d47a51d24367819d183ecacea3a0 | [
"Apache-2.0"
] | null | null | null | bot/exchange/__init__.py | colticol/bold-arbitrager | aef6683a3f41d47a51d24367819d183ecacea3a0 | [
"Apache-2.0"
] | null | null | null | from . import exchange_controller
from . import exchange_client | 31.5 | 33 | 0.857143 |
bbd06fd058120fffbc5ec8c48b2f8310d80c11b4 | 2,265 | py | Python | test_proj/tests/test_runner.py | andrewbird2/django-data-validation | 8c3a8e14440f0299a5f4b188dfaa7864b53b5123 | [
"MIT"
] | 1 | 2020-08-05T16:42:48.000Z | 2020-08-05T16:42:48.000Z | test_proj/tests/test_runner.py | andrewbird2/django-data-validation | 8c3a8e14440f0299a5f4b188dfaa7864b53b5123 | [
"MIT"
] | 1 | 2020-11-04T07:06:37.000Z | 2020-11-04T07:06:37.000Z | test_proj/tests/test_runner.py | andrewbird2/django-data-validation | 8c3a8e14440f0299a5f4b188dfaa7864b53b5123 | [
"MIT"
] | 1 | 2020-11-04T02:16:05.000Z | 2020-11-04T02:16:05.000Z | from unittest import mock
from django.core.management import call_command
import pytest
from app1.models import TestModel
from datavalidation.models import Validator
from datavalidation.results import Status
from datavalidation.runners import ModelValidationRunner, ObjectValidationRunner
def test_model_runner_with_bad_model():
""" check that ModelValidationRunner handles bad input """
try:
ModelValidationRunner(Validator).run()
assert False, "expected an exception"
except ValueError as e:
assert e.args == ("no data validation methods on model Validator",)
def test_model_runner_with_bad_method():
""" check that ModelValidationRunner handles bad input """
try:
ModelValidationRunner(TestModel, method_names=["not_a_method"]).run()
assert False, "expected as exception"
except ValueError as e:
assert e.args == ("not_a_method is not a data validator on TestModel",)
| 31.458333 | 80 | 0.72362 |
bbd1b55c9769411d9a683ac06b192b84c0c94cde | 2,479 | py | Python | FlaskApp/flask_server.py | pjneelam/pjneelam.eportfolio2022 | 3f55c1da6214e3eabab949ff83b34c0553c52866 | [
"CC-BY-3.0"
] | null | null | null | FlaskApp/flask_server.py | pjneelam/pjneelam.eportfolio2022 | 3f55c1da6214e3eabab949ff83b34c0553c52866 | [
"CC-BY-3.0"
] | null | null | null | FlaskApp/flask_server.py | pjneelam/pjneelam.eportfolio2022 | 3f55c1da6214e3eabab949ff83b34c0553c52866 | [
"CC-BY-3.0"
] | null | null | null | #to create the flask page
#import flask
#flask library was installed in the command line/computer terminal first
#Source: PythonHow https://pythonhow.com/python-tutorial/flask/How-making-a-website-with-Python-works/
#Python assigns the name "__main__" to the script when the script is executed.
#The debug parameter is set to true, to trace Python errors.
# To note: in a production environment, it must be set to False to avoid any security issues.
#returning HTML in Flask, create a homepage.html in another folder
#add render_template method
from flask import Flask, render_template
#pip install flask-mysqldb in cmd
#from flask_mysqldb import MySQL
#from mysql.connector.connection import MySQLConnection
#from sql_connection import get_sql_connection
#connection with mysql not established
app = Flask(__name__)
#add another page: market page
if __name__ == '__main__':
app.run(debug=True)
#to style your web page, can use styling framework "Bootstrap" - https://getbootstrap.com/docs/4.5/getting-started/introduction/#starter-template
#copy and page in html page created
#IP/page set up: http://127.0.0.1:5000/
#page created: http://127.0.0.1:5000/market
#to synchonise your updates in the codes and the web page, RUN the program and check if Debug mode is on in the Terminal below
#to turn it on, run code: set FLASK_DEBUG=1 | 42.741379 | 146 | 0.709964 |
bbd25b797957a5f28a70032817bbe3816cae3981 | 3,152 | py | Python | mozdns/mixins.py | jlin/inventory | c098c98e570c3bf9fadfd811eb75e1213f6ea428 | [
"BSD-3-Clause"
] | 22 | 2015-01-16T01:36:32.000Z | 2020-06-08T00:46:18.000Z | mozdns/mixins.py | jlin/inventory | c098c98e570c3bf9fadfd811eb75e1213f6ea428 | [
"BSD-3-Clause"
] | 8 | 2015-12-28T18:56:19.000Z | 2019-04-01T17:33:48.000Z | mozdns/mixins.py | jlin/inventory | c098c98e570c3bf9fadfd811eb75e1213f6ea428 | [
"BSD-3-Clause"
] | 13 | 2015-01-13T20:56:22.000Z | 2022-02-23T06:01:17.000Z | from settings import MOZDNS_BASE_URL
from gettext import gettext as _
from string import Template
| 28.396396 | 75 | 0.583756 |
bbd2f4baf55ab29dd9d52744e70bd79da375026a | 2,361 | py | Python | db_cloudant2.py | trishasarkar/IBM-PLS-deployed | 959fef4c43a6a33bcb6e96b14046dcbd220e0b2a | [
"MIT"
] | null | null | null | db_cloudant2.py | trishasarkar/IBM-PLS-deployed | 959fef4c43a6a33bcb6e96b14046dcbd220e0b2a | [
"MIT"
] | null | null | null | db_cloudant2.py | trishasarkar/IBM-PLS-deployed | 959fef4c43a6a33bcb6e96b14046dcbd220e0b2a | [
"MIT"
] | null | null | null | from ibmcloudant.cloudant_v1 import CloudantV1, Document
from ibm_cloud_sdk_core.authenticators import IAMAuthenticator
CLOUDANT_URL="https://apikey-v2-1mfs4kqo2nmnc2sdtgp9ji8myznbgm6mivk0o93pfopt:f70c9a73c52d287d3271ddc3dba6a30a@dc1a5ff5-996b-475c-8b7e-da87f4bf33a3-bluemix.cloudantnosqldb.appdomain.cloud"
CLOUDANT_APIKEY="C8J8TcTL_T9YlMtyA6itWueAqAdkgGXbwOc8RA2omfCd"
CLOUDANT_USERNAME="apikey-v2-1mfs4kqo2nmnc2sdtgp9ji8myznbgm6mivk0o93pfopt"
CLOUDANT_PASSWORD="f70c9a73c52d287d3271ddc3dba6a30a"
authenticator = IAMAuthenticator(CLOUDANT_APIKEY)
service = CloudantV1(authenticator=authenticator)
service.set_service_url(CLOUDANT_URL)
response = service.get_server_information().get_result()
##### Create a DB
# response = service.put_database(db='usessions')
# print(response)
#####
##### Create a document
# products_doc = Document(
# id="001",
# data = get_data()
# )
#
# response = service.post_document(db='qdata', document=products_doc).get_result()
# print(response)
#####
#### Get data
response = service.get_document(
db='usessions',
doc_id='mCWSwjuLuH'
).get_result()
print(response)
_rev = response['_rev']
####
##### Update data
# new_doc = Document(
# rev=_rev,
# data=get_data()
# )
# response = service.put_document(
# db='qdata',
# doc_id = '001',
# document=new_doc
# ).get_result()
#####
# def create_question(request_dict):
# question=Document(
# id=request_dict['id'],
# type="question",
# question_text=request_dict['text'],
# options=request_dict['options']
# )
# response = service.post_document(db='questions_db', document=question).get_result()
# print(response)
#
# req={"id":"q003",
# "text":"This is the first question",
# "options":['option 1', 'option 2','option 3']
# }
#
# create_question(req)
#
# def update_question(doc_id, request_dict):
# question=Document(
# rev=request_dict['rev'],
# type="question",
# question_text=request_dict['text'],
# options=request_dict['options']
# )
# response = service.put_document(db='questions_db', doc_id=doc_id,document=question).get_result()
# print(response)
#
# req={
# "rev":"2-7b23212b63dd888e94c7379a109a30cf",
# "text":"This is not the first question",
# "options":['Noption 1', 'Noption 2','Noption 3']}
#
# doc_id="q003"
# update_question(doc_id, req)
| 26.829545 | 187 | 0.710292 |
bbd37b557f545c19f1a83004ba18612d1700a121 | 1,782 | py | Python | core/migrations/0012_auto_20170423_1836.py | koatse/ilikethem | 962374ff8179a533dba3b00422d11bb819d8acde | [
"MIT"
] | null | null | null | core/migrations/0012_auto_20170423_1836.py | koatse/ilikethem | 962374ff8179a533dba3b00422d11bb819d8acde | [
"MIT"
] | null | null | null | core/migrations/0012_auto_20170423_1836.py | koatse/ilikethem | 962374ff8179a533dba3b00422d11bb819d8acde | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by Django 1.10.4 on 2017-04-23 18:36
from __future__ import unicode_literals
from django.db import migrations, models
| 33 | 102 | 0.597643 |
bbd438523d7877e78c030d4778fb9485bdd7f4ad | 478 | py | Python | cymon_v2/komand_cymon_v2/actions/__init__.py | killstrelok/insightconnect-plugins | 911358925f4233ab273dbd8172e8b7b9188ebc01 | [
"MIT"
] | 1 | 2020-03-18T09:14:55.000Z | 2020-03-18T09:14:55.000Z | cymon_v2/komand_cymon_v2/actions/__init__.py | killstrelok/insightconnect-plugins | 911358925f4233ab273dbd8172e8b7b9188ebc01 | [
"MIT"
] | 1 | 2021-02-23T23:57:37.000Z | 2021-02-23T23:57:37.000Z | cymon_v2/komand_cymon_v2/actions/__init__.py | killstrelok/insightconnect-plugins | 911358925f4233ab273dbd8172e8b7b9188ebc01 | [
"MIT"
] | null | null | null | # GENERATED BY KOMAND SDK - DO NOT EDIT
from .create_feed.action import CreateFeed
from .get_feed_details.action import GetFeedDetails
from .get_report_document.action import GetReportDocument
from .list_all_feeds.action import ListAllFeeds
from .list_user_feeds.action import ListUserFeeds
from .search.action import Search
from .submit_report.action import SubmitReport
from .submit_reports_in_bulk.action import SubmitReportsInBulk
from .update_feed.action import UpdateFeed
| 43.454545 | 62 | 0.864017 |
bbd4c608ff119a6e8725d951c6333bfee210d76b | 9,913 | py | Python | appsite/resolver/models.py | inchiresolver/inchiresolver | 6b3f080a4364ebe7499298e5a1b3cd4ed165322d | [
"BSD-3-Clause"
] | 3 | 2020-10-22T06:18:17.000Z | 2021-03-19T16:49:00.000Z | appsite/resolver/models.py | inchiresolver/inchiresolver | 6b3f080a4364ebe7499298e5a1b3cd4ed165322d | [
"BSD-3-Clause"
] | 11 | 2019-11-01T23:04:31.000Z | 2022-02-10T12:32:11.000Z | appsite/resolver/models.py | inchiresolver/inchiresolver | 6b3f080a4364ebe7499298e5a1b3cd4ed165322d | [
"BSD-3-Clause"
] | null | null | null | import uuid
from urllib.parse import urljoin
from django.core.exceptions import FieldError
from multiselectfield import MultiSelectField
from rdkit import Chem
from django.db import models
from resolver import defaults
from inchi.identifier import InChIKey, InChI
| 36.988806 | 117 | 0.635226 |
bbd5dfeac5416aaa4e83e0b9d53270b2988a24ca | 2,995 | py | Python | kit_django/content/apps.py | safakoner/kit | aec36a70137febfb5f3e3a9205ea58879736eea4 | [
"MIT"
] | 6 | 2020-06-29T20:36:15.000Z | 2021-09-08T23:34:01.000Z | kit_django/content/apps.py | safakoner/kit | aec36a70137febfb5f3e3a9205ea58879736eea4 | [
"MIT"
] | 9 | 2021-03-30T13:46:29.000Z | 2022-03-12T00:38:27.000Z | kit_django/content/apps.py | safakoner/kit | aec36a70137febfb5f3e3a9205ea58879736eea4 | [
"MIT"
] | 1 | 2020-07-20T18:40:24.000Z | 2020-07-20T18:40:24.000Z | #
# ----------------------------------------------------------------------------------------------------
# DESCRIPTION
# ----------------------------------------------------------------------------------------------------
## @package content @brief [ PACKAGE ] - Content.
## @dir content @brief [ DIRECTORY ] - Package root directory.
## @package content.admin @brief [ MODULE ] - Admin module.
## @file content/admin.py @brief [ FILE ] - Admin module file.
## @package content.apps @brief [ MODULE ] - App module.
## @file content/apps.py @brief [ FILE ] - App module file.
## @package content.handlers @brief [ MODULE ] - Signal handlers module.
## @file content/handlers.py @brief [ FILE ] - Signal handlers module file.
## @package content.models @brief [ MODULE ] - Models module.
## @file content/models.py @brief [ FILE ] - Models module file.
## @package content.serializers @brief [ MODULE ] - Serializers module.
## @file content/serializers.py @brief [ FILE ] - Serializers module file.
## @package content.tests @brief [ MODULE ] - Tests module.
## @file content/tests.py @brief [ FILE ] - Tests module file.
## @package content.urls @brief [ MODULE ] - URLs module.
## @file content/urls.py @brief [ FILE ] - URLs module file.
## @package content.views @brief [ MODULE ] - Views module.
## @file content/views.py @brief [ FILE ] - Views module file.
#
# ----------------------------------------------------------------------------------------------------
# IMPORTS
# ----------------------------------------------------------------------------------------------------
from django.apps import AppConfig
from django.db.models.signals import pre_save, post_save, pre_delete
#
# ----------------------------------------------------------------------------------------------------
# CODE
# ----------------------------------------------------------------------------------------------------
#
## @brief [ APP CONFIG CLASS ] - App config class.
| 42.785714 | 102 | 0.444741 |
bbd748e6a83de8ca6fc199a6dc4a8e503c1bdd1b | 681 | py | Python | Robot.py | rnandon/RobotsAndDinosaurs | ad83d61a800bcf307dfbbf925abe91bcad2763b4 | [
"MIT"
] | null | null | null | Robot.py | rnandon/RobotsAndDinosaurs | ad83d61a800bcf307dfbbf925abe91bcad2763b4 | [
"MIT"
] | null | null | null | Robot.py | rnandon/RobotsAndDinosaurs | ad83d61a800bcf307dfbbf925abe91bcad2763b4 | [
"MIT"
] | null | null | null | ### IMPORTS
### ================================
from Combatant import Combatant
# Robot. Implementation of the Combatant class
| 35.842105 | 108 | 0.577093 |
bbd76e1f33835fcc21edddd8477a6604c70dcdb3 | 5,143 | py | Python | src/core.py | z62060037/ArtStationDownloader | f6e8a657dfd3584cbf870470f1b19dc4edf54e92 | [
"MIT"
] | 1 | 2019-04-19T10:14:49.000Z | 2019-04-19T10:14:49.000Z | src/core.py | z62060037/ArtStationDownloader | f6e8a657dfd3584cbf870470f1b19dc4edf54e92 | [
"MIT"
] | null | null | null | src/core.py | z62060037/ArtStationDownloader | f6e8a657dfd3584cbf870470f1b19dc4edf54e92 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Copyright 2018-2019 Sean Feng(sean@FantaBlade.com)
"""
import os
import re
from concurrent import futures
from multiprocessing import cpu_count
from urllib.parse import urlparse
import pafy
import requests
| 37.816176 | 92 | 0.517986 |
bbd7d9dde1e4ce541f94c7b201986c3d8dd7319a | 727 | py | Python | home/migrations/0022_auto_20210409_1256.py | witty-technologies-empowerment/codeupblood | a0aa1725e5776d80e083b6d4e9e67476bb97e983 | [
"MIT"
] | null | null | null | home/migrations/0022_auto_20210409_1256.py | witty-technologies-empowerment/codeupblood | a0aa1725e5776d80e083b6d4e9e67476bb97e983 | [
"MIT"
] | null | null | null | home/migrations/0022_auto_20210409_1256.py | witty-technologies-empowerment/codeupblood | a0aa1725e5776d80e083b6d4e9e67476bb97e983 | [
"MIT"
] | 1 | 2022-01-19T11:09:13.000Z | 2022-01-19T11:09:13.000Z | # Generated by Django 3.1.6 on 2021-04-09 19:56
from django.db import migrations, models
| 25.068966 | 68 | 0.566713 |
bbdb2c2c522ffff022d41a4d62480d42fe180e58 | 2,586 | py | Python | Gui/CustomWidgets/PlottingWidgets/mayaViWidget.py | jpesperidiao/MOPA | 6fbf097a22d42d82eeb36c6f247eb0d8fb6ac586 | [
"MIT"
] | null | null | null | Gui/CustomWidgets/PlottingWidgets/mayaViWidget.py | jpesperidiao/MOPA | 6fbf097a22d42d82eeb36c6f247eb0d8fb6ac586 | [
"MIT"
] | 1 | 2020-06-07T00:19:54.000Z | 2020-06-07T00:19:54.000Z | Gui/CustomWidgets/PlottingWidgets/mayaViWidget.py | jpesperidiao/MOPA | 6fbf097a22d42d82eeb36c6f247eb0d8fb6ac586 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
/***************************************************************************
MOPA
An independet project
Mtodo de Obteno da Posio de Atirador
-------------------
begin : 2018-12-21
git sha : $Format:%H$
copyright : (C) 2018 by Joo P. Esperidio
email : joao.p2709@gmail.com
***************************************************************************/
/***************************************************************************
* *
* This program is free software; you can redistribute it and/or modify *
* it under the terms of the GNU General Public License as published by *
* the Free Software Foundation; either version 2 of the License, or *
* (at your option) any later version. *
* *
***************************************************************************/
"""
from traits.api import HasTraits, Instance, on_trait_change
from traitsui.api import View, Item
from mayavi.core.ui.api import MayaviScene, MlabSceneModel, \
SceneEditorx
from PyQt5.QtWidgets import QWidget
| 39.784615 | 95 | 0.496906 |
bbdb59840ecfefbcddcb7e8ef4a69bf99648feb6 | 1,953 | py | Python | notebooks/debug_monuseg.py | voreille/2d_bispectrum_cnn | ba8f26f6a557602bc3343c4562c83a3de914c67e | [
"MIT"
] | null | null | null | notebooks/debug_monuseg.py | voreille/2d_bispectrum_cnn | ba8f26f6a557602bc3343c4562c83a3de914c67e | [
"MIT"
] | null | null | null | notebooks/debug_monuseg.py | voreille/2d_bispectrum_cnn | ba8f26f6a557602bc3343c4562c83a3de914c67e | [
"MIT"
] | null | null | null | from pathlib import Path
import numpy as np
from PIL import Image, ImageSequence
import matplotlib.pyplot as plt
import tensorflow as tf
import tensorflow_io as tfio
from scipy.ndimage import rotate
from src.data.monuseg import get_dataset, tf_random_rotate, tf_random_crop
ds = get_dataset()
image, mask = next(ds.as_numpy_iterator())
image, mask = random_crop(image, mask, rotation=True)
print(f"yo la shape de liamg cest {image.shape}") | 39.06 | 78 | 0.612391 |
bbdd2e1f7b9f04c68b368c1e67ead84b604e9837 | 526 | py | Python | amqp_2phase/migrations/0002_create_event_index.py | cloud-taxi/django-amqp-2phase | d4825fa68bfba6a21c310b45f39a740840e7cae1 | [
"BSD-3-Clause"
] | null | null | null | amqp_2phase/migrations/0002_create_event_index.py | cloud-taxi/django-amqp-2phase | d4825fa68bfba6a21c310b45f39a740840e7cae1 | [
"BSD-3-Clause"
] | null | null | null | amqp_2phase/migrations/0002_create_event_index.py | cloud-taxi/django-amqp-2phase | d4825fa68bfba6a21c310b45f39a740840e7cae1 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by Django 1.11 on 2017-05-08 05:45
from __future__ import unicode_literals
from django.db import migrations
| 29.222222 | 119 | 0.671103 |
bbddc18cfd9ad9a4f3ecf0a646125463caad5351 | 870 | py | Python | investmap/migrations/0004_investmapdescriptiontabs.py | 30Meridian/RozumneMistoSnapshot | 67a83b3908674d01992561dfb37596e395b4d482 | [
"BSD-3-Clause"
] | null | null | null | investmap/migrations/0004_investmapdescriptiontabs.py | 30Meridian/RozumneMistoSnapshot | 67a83b3908674d01992561dfb37596e395b4d482 | [
"BSD-3-Clause"
] | null | null | null | investmap/migrations/0004_investmapdescriptiontabs.py | 30Meridian/RozumneMistoSnapshot | 67a83b3908674d01992561dfb37596e395b4d482 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import migrations, models
import ckeditor_uploader.fields
| 30 | 114 | 0.589655 |
bbdf983b5082ed39dd9de59fc5860b7d988b933b | 290 | py | Python | align/cli.py | kba/cis-ocrd-py | 4b6d2a29ac82cf1ec734a87314a6c774271d09bc | [
"MIT"
] | null | null | null | align/cli.py | kba/cis-ocrd-py | 4b6d2a29ac82cf1ec734a87314a6c774271d09bc | [
"MIT"
] | null | null | null | align/cli.py | kba/cis-ocrd-py | 4b6d2a29ac82cf1ec734a87314a6c774271d09bc | [
"MIT"
] | null | null | null | import click
from ocrd.decorators import ocrd_cli_options, ocrd_cli_wrap_processor
from align.aligner import Aligner
| 26.363636 | 69 | 0.786207 |
bbdfbb10eaebeeb5ca5805687d46a1d1d278b849 | 1,567 | py | Python | test/SI_to_Conc/test_SI2Conc_OG_MO_AUMC_ICR_RMH.py | notZaki/DCE-DSC-MRI_CodeCollection | 9e258e10559894951c7e6c5c00876e74ce103258 | [
"Apache-2.0"
] | null | null | null | test/SI_to_Conc/test_SI2Conc_OG_MO_AUMC_ICR_RMH.py | notZaki/DCE-DSC-MRI_CodeCollection | 9e258e10559894951c7e6c5c00876e74ce103258 | [
"Apache-2.0"
] | 1 | 2020-11-19T04:49:28.000Z | 2020-11-19T04:49:28.000Z | test/SI_to_Conc/test_SI2Conc_OG_MO_AUMC_ICR_RMH.py | notZaki/DCE-DSC-MRI_CodeCollection | 9e258e10559894951c7e6c5c00876e74ce103258 | [
"Apache-2.0"
] | null | null | null | import pytest
import numpy as np
from ..helpers import osipi_parametrize
from . import SI2Conc_data
from src.original.OG_MO_AUMC_ICR_RMH.ExtendedTofts.DCE import dce_to_r1eff
from src.original.OG_MO_AUMC_ICR_RMH.ExtendedTofts.DCE import r1eff_to_conc
# All tests will use the same arguments and same data...
arg_names = 'label', 'fa', 'tr', 'T1base', 'BLpts', 'r1', 's_array', 'conc_array', 'a_tol', 'r_tol'
test_data = SI2Conc_data.SI2Conc_data()
# Use the test data to generate a parametrize decorator. This causes the following
# test to be run for every test case listed in test_data...
| 40.179487 | 157 | 0.734525 |
bbdfc65e3dc96518486004ed92ed7315cea723ab | 3,559 | py | Python | src/docker_composer/runner/cmd/up.py | michascholl/docker-composer | d190f1db766e216654a4259785b9aaf802a9c64d | [
"Apache-2.0"
] | 4 | 2021-01-18T11:35:24.000Z | 2021-08-30T16:19:39.000Z | src/docker_composer/runner/cmd/up.py | michascholl/docker-composer | d190f1db766e216654a4259785b9aaf802a9c64d | [
"Apache-2.0"
] | null | null | null | src/docker_composer/runner/cmd/up.py | michascholl/docker-composer | d190f1db766e216654a4259785b9aaf802a9c64d | [
"Apache-2.0"
] | 1 | 2022-02-19T10:38:59.000Z | 2022-02-19T10:38:59.000Z | # DO NOT EDIT: Autogenerated by src/docker_composer/_utils/generate_class.py
# for docker-compose version 1.25.0, build unknown
from typing import List, Optional
import attr
from docker_composer.base import DockerBaseRunner
| 37.463158 | 83 | 0.680528 |
bbe0157ae7f26883dcb131a2958451cdb126b2d0 | 1,415 | py | Python | app.py | hendrapaiton/mandalika | 6ecbde9e3582d6532006e58531d5fc52feaa8854 | [
"MIT"
] | 1 | 2020-02-19T07:45:53.000Z | 2020-02-19T07:45:53.000Z | app.py | hendrapaiton/mandalika | 6ecbde9e3582d6532006e58531d5fc52feaa8854 | [
"MIT"
] | 1 | 2020-02-20T05:35:49.000Z | 2020-02-26T08:14:41.000Z | app.py | hendrapaiton/mandalika | 6ecbde9e3582d6532006e58531d5fc52feaa8854 | [
"MIT"
] | 2 | 2020-02-25T16:46:39.000Z | 2020-02-26T09:02:06.000Z | # Import from system libraries
from flask import Flask
from flask_bcrypt import Bcrypt
from flask_cors import CORS
from flask_jwt_extended import JWTManager
from flask_restful import Api
# Import from application modules
from errors import errors
from models.User import User
from models.db import initialize_db
from routes.api import initialize_routes
# Flask app instance with static (html, css and js) folder configuration
app = Flask(__name__)
# Flask Restful configuration with errors included
api = Api(app, errors=errors)
# Files for Configuration System in environment
app.config.from_envvar('ENV_FILE_LOCATION')
# BCrypt instances
bcrypt = Bcrypt(app)
# JWT instances
jwt = JWTManager(app)
# CORS enabled
CORS(app)
# Get roles for authenticated user
# Load user identity
# Database Configuration Initialization
initialize_db(app)
# API (Routing) Configuration Initialization
initialize_routes(api)
# Admin account initialization for first uses
user = User.objects(username='admin@nj.net')
if not user:
login = User(username='admin@nj.net', password='enje123', roles=['admin'])
login.hash_password()
login.save()
# Running Flask Application when main class executed
if __name__ == '__main__':
app.run()
| 25.727273 | 78 | 0.786572 |
bbe0811cc9331cc6588c71ea015afd88bed83389 | 509 | py | Python | openapi_core/validation/util.py | erpheus/openapi-core | b37510b0e306f6819971f64106617fb116974243 | [
"BSD-3-Clause"
] | null | null | null | openapi_core/validation/util.py | erpheus/openapi-core | b37510b0e306f6819971f64106617fb116974243 | [
"BSD-3-Clause"
] | null | null | null | openapi_core/validation/util.py | erpheus/openapi-core | b37510b0e306f6819971f64106617fb116974243 | [
"BSD-3-Clause"
] | null | null | null | """OpenAPI core validation util module"""
from yarl import URL
def get_operation_pattern(server_url, request_url_pattern):
"""Return an updated request URL pattern with the server URL removed."""
if server_url[-1] == "/":
# operations have to start with a slash, so do not remove it
server_url = server_url[:-1]
if URL(server_url).is_absolute():
return request_url_pattern.replace(server_url, "", 1)
return URL(request_url_pattern).path_qs.replace(server_url, "", 1)
| 39.153846 | 76 | 0.70334 |
bbe19a963ebbfb67a87214650a7ef4c055ac8952 | 2,071 | py | Python | render/model.py | kennyngod/portfoliov2 | 3b931c35c342bfeea18fd2d97eadc65ed57c56a7 | [
"CC-BY-3.0"
] | 1 | 2022-02-22T07:19:16.000Z | 2022-02-22T07:19:16.000Z | render/model.py | kennyngod/portfoliov2 | 3b931c35c342bfeea18fd2d97eadc65ed57c56a7 | [
"CC-BY-3.0"
] | null | null | null | render/model.py | kennyngod/portfoliov2 | 3b931c35c342bfeea18fd2d97eadc65ed57c56a7 | [
"CC-BY-3.0"
] | null | null | null | """Mostly helper functions to help with the driver."""
import json
import os
import pathlib
import sqlite3
import arrow # type: ignore
def sql_db():
"""Open a SQL connection and perform a query."""
db_path = pathlib.Path(os.getcwd())
db_path = pathlib.Path(db_path/'sql'/'portfolio.sqlite3')
con = sqlite3.connect(str(db_path))
cur = con.cursor()
skills = cur.execute(
"SELECT * "
"FROM skills "
"ORDER BY meter DESC"
)
skills = cur.fetchall()
con.close()
return skills
def create_json():
"""Create a context JSON file to render to jinja."""
skills_db = sql_db()
skills = []
for skill_db in skills_db:
skill = {}
skill['language'] = skill_db[0]
skill['time'] = get_time(skill_db[1])
skill['proficiency'] = skill_db[2]
skill['meter'] = skill_db[3]
skill['description'] = skill_db[4]
skill['filelink'] = skill_db[5]
if skill_db[6]:
skill['framework'] = skill_db[6]
skills.append(skill)
context = {"skills": skills}
data = {"template": "index.html", "context": context}
data = json.dumps(data)
# write to json file
path = pathlib.Path(os.getcwd())
path = str(path/'render/context.json')
with open(path, 'w+', encoding='utf-8') as outfile:
outfile.write(data)
def get_time(db_time):
"""Calculate the time difference from now to start time in database."""
now = arrow.now().format("YYYY-MM-DD")
arr_now = now.split('-')
arr_time = db_time.split('-')
time_diff = []
for time_now, time_time in zip(arr_now, arr_time):
time_now = int(time_now)
time_time = int(time_time)
diff = abs(time_now - time_time)
time_diff.append(round(diff))
# dont care about day
# check year
if time_diff[0] != 0:
if time_diff[0] == 1:
return f'{time_diff[0]} year'
return f'{time_diff[0]} years'
if time_diff[1] == 1:
return f'{time_diff[1]} month'
return f'{time_diff[1]} months'
| 29.169014 | 75 | 0.598262 |
bbe3022d59c8c55da8fc827a792032bc2f9f1ed9 | 1,053 | py | Python | codes/exact/matStuff/lambdaFlucSparseSysRep.py | joshuahellier/PhDStuff | 6fbe9e507c40e9017cde9312b0cfcc6ceefa284e | [
"MIT"
] | null | null | null | codes/exact/matStuff/lambdaFlucSparseSysRep.py | joshuahellier/PhDStuff | 6fbe9e507c40e9017cde9312b0cfcc6ceefa284e | [
"MIT"
] | null | null | null | codes/exact/matStuff/lambdaFlucSparseSysRep.py | joshuahellier/PhDStuff | 6fbe9e507c40e9017cde9312b0cfcc6ceefa284e | [
"MIT"
] | null | null | null | import subprocess
import sys
import os
import math
# This code is meant to manage running multiple instances of my KMCLib codes at the same time,
# in the name of time efficiency
numLambda = 256
sysSize = 5
numVecs = 1
dataLocation = "exactSolns/thesisCorrections/low"
lambdaMin = 10.0**(-4)
lambdaMax = 10.0**(4)
rateStepSize = (lambdaMax-lambdaMin)/float(numLambda-1)
jobIndex = 513
botConc = 0.3
topConc = 0.1
boundMult = 1000.0
tolerance = 10.0**(-18)
runningJobs = []
for rateIndex in range(0, numLambda):
tempRate = lambdaMin + rateStepSize*rateIndex
# currentRate = tempRate
currentRate = math.exp(((tempRate-lambdaMin)*math.log(lambdaMax)+(lambdaMax-tempRate)*math.log(lambdaMin))/(lambdaMax-lambdaMin))
jobInput = "simpleGroundStateFinder.py "+str(botConc)+" "+str(topConc)+" "+str(currentRate)+" "+str(sysSize)+" "+str(numVecs)+" "+str(boundMult)+" "+str(tolerance)+" "+str(1)+" "+dataLocation+str(rateIndex)+"\n"
with open("jobInputs/testInput."+str(jobIndex), 'w') as f:
f.write(jobInput)
jobIndex += 1
| 33.967742 | 215 | 0.706553 |
bbe30cef5cf3479058d3d846d89799afd1e7069c | 3,997 | py | Python | lib/galaxy/webapps/tool_shed/util/shed_statistics.py | bopopescu/phyG | 023f505b705ab953f502cbc55e90612047867583 | [
"CC-BY-3.0"
] | 2 | 2016-02-23T00:09:14.000Z | 2019-02-11T07:48:44.000Z | lib/galaxy/webapps/tool_shed/util/shed_statistics.py | bopopescu/phyG | 023f505b705ab953f502cbc55e90612047867583 | [
"CC-BY-3.0"
] | null | null | null | lib/galaxy/webapps/tool_shed/util/shed_statistics.py | bopopescu/phyG | 023f505b705ab953f502cbc55e90612047867583 | [
"CC-BY-3.0"
] | 6 | 2015-05-27T13:09:50.000Z | 2019-02-11T07:48:46.000Z | from time import strftime, gmtime
| 49.345679 | 131 | 0.536652 |
bbe3888f6e45c812298b82e8ac836a9bd58f2e7b | 2,461 | py | Python | lib/helpertools/helpertools/geometry.py | aws-samples/amazon-textract-large-scale-selectable-pdf | e62b1c5ed79c02008783bc1361d70f0b5b69e0b7 | [
"MIT-0"
] | 4 | 2022-01-12T15:30:54.000Z | 2022-02-28T22:12:17.000Z | lib/helpertools/helpertools/geometry.py | aws-samples/amazon-textract-large-scale-selectable-pdf | e62b1c5ed79c02008783bc1361d70f0b5b69e0b7 | [
"MIT-0"
] | null | null | null | lib/helpertools/helpertools/geometry.py | aws-samples/amazon-textract-large-scale-selectable-pdf | e62b1c5ed79c02008783bc1361d70f0b5b69e0b7 | [
"MIT-0"
] | 2 | 2021-10-24T01:43:12.000Z | 2022-01-21T20:14:33.000Z | '''
'''
from typing import Dict, Optional
# classes
# -------
# overload methods
def __getitem__(self, key):
return self.bounds[key]
def __setitem__(self, key, value):
self.bounds[key] = value
# getters | 30.7625 | 90 | 0.604632 |
bbe58ee718d54a29743fdde56951e945cc81bce6 | 378 | py | Python | examples/chart-types/pie_chart.py | tcbegley/dash-google-charts | b8b22e5b6bac533167f218e3610697dec0c3e4ca | [
"Apache-2.0"
] | 6 | 2019-01-23T17:37:09.000Z | 2020-11-17T16:12:27.000Z | examples/chart-types/pie_chart.py | tcbegley/dash-google-charts | b8b22e5b6bac533167f218e3610697dec0c3e4ca | [
"Apache-2.0"
] | 9 | 2019-01-25T11:09:17.000Z | 2022-02-26T09:10:04.000Z | examples/chart-types/pie_chart.py | tcbegley/dash-google-charts | b8b22e5b6bac533167f218e3610697dec0c3e4ca | [
"Apache-2.0"
] | 1 | 2019-01-23T17:37:12.000Z | 2019-01-23T17:37:12.000Z | import dash
from dash_google_charts import PieChart
app = dash.Dash()
app.layout = PieChart(
height="500px",
data=[
["Task", "Hours per Day"],
["Work", 11],
["Eat", 2],
["Commute", 2],
["Watch TV", 2],
["Sleep", 7],
],
options={"title": "My Daily Activities"},
)
if __name__ == "__main__":
app.run_server()
| 18 | 45 | 0.518519 |
bbe8dbb33350754634ad5a39bc45f35bec1cec43 | 4,183 | py | Python | threats-monitoring/modules/thehive.py | filippostz/McAfee-MVISION-EDR-Integrations | 0fbe1af15f844b796337ccd2ff219a0c4e625846 | [
"Apache-2.0"
] | null | null | null | threats-monitoring/modules/thehive.py | filippostz/McAfee-MVISION-EDR-Integrations | 0fbe1af15f844b796337ccd2ff219a0c4e625846 | [
"Apache-2.0"
] | null | null | null | threats-monitoring/modules/thehive.py | filippostz/McAfee-MVISION-EDR-Integrations | 0fbe1af15f844b796337ccd2ff219a0c4e625846 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
# Written by mohlcyber v.0.1 (15.04.2020)
# Edited by filippostz v.0.2 (24.09.2021)
import random
import sys
import socket
import requests
import json
import re
import smtplib
from datetime import datetime
from urllib.parse import urljoin
from email.mime.text import MIMEText
from email.mime.multipart import MIMEMultipart
#Used for comments in Cases and Email
EDR_URL = 'https://ui.soc.eu-central-1.mcafee.com/monitoring/'
| 41.83 | 127 | 0.531198 |
bbe9079acec9fc7d47c390d5c89d9f262c9f1f50 | 518 | py | Python | src/config.py | psu-os-rss/Rock-Paper-and-Scissors | 05e9f51978cae1f05c9f06a71d9822ccfedbc5e1 | [
"MIT"
] | null | null | null | src/config.py | psu-os-rss/Rock-Paper-and-Scissors | 05e9f51978cae1f05c9f06a71d9822ccfedbc5e1 | [
"MIT"
] | 6 | 2020-08-03T20:55:44.000Z | 2020-08-13T22:03:13.000Z | src/config.py | psu-os-rss/Rock-Paper-and-Scissors | 05e9f51978cae1f05c9f06a71d9822ccfedbc5e1 | [
"MIT"
] | null | null | null | #parameters
accumulated_weight = 0.5
detector_u = 50
detector_b = 350
detector_r = 300
detector_l = 600
message_x = 10
message_y = 400
date_x = 0
date_y = 450
threshold_min=22
rate = 0.8
RGB_INT_MAX = 255
RGB_INT_MIN = 0
RGB_FLT_MAX = 255.0
RGB_FLT_MIN = 0.0
Blur_value = 7
text_color = (200,50,150)
rectangle_color = (0,0,255)
rectangle_thickness = 5
processing_frame = 35
font_scale = 0.7
thickness = 2
cv2adaptive_block = 11
cv2adaptive_param = 2
erodtime = 1
dilatetime = 2
circle_thickness = 10
circle_rate = 0.25 | 17.862069 | 27 | 0.758687 |
bbe94404de84755169d02669d387f24583e7d3f0 | 1,309 | py | Python | ejercicios/arreglos/perimetro.py | leugimkm/Soluciones | d71601c8d9b5e86e926f48d9e49462af8a956b6d | [
"MIT"
] | 1 | 2022-02-02T04:44:56.000Z | 2022-02-02T04:44:56.000Z | ejercicios/arreglos/perimetro.py | leugimkm/Soluciones | d71601c8d9b5e86e926f48d9e49462af8a956b6d | [
"MIT"
] | null | null | null | ejercicios/arreglos/perimetro.py | leugimkm/Soluciones | d71601c8d9b5e86e926f48d9e49462af8a956b6d | [
"MIT"
] | null | null | null | """AyudaEnPython: https://www.facebook.com/groups/ayudapython
Genere una matriz de 25 x 40 con nmeros decimales al azar entre 0 y 1.
Mostrar los numeros del perimetro y calcularlo.
"""
from random import random
from prototools import show_matrix
def solver_a():
"""
>>> solver_a()
[1, 2, 3, 4, 5, 16, 17, 18, 19, 20, 6, 11, 10, 15]
147
"""
#arr = [[random() for _ in range(40)] for _ in range(25)]
arr = [
[1, 2, 3, 4, 5],
[6, 7, 8, 9, 10],
[11, 12, 13, 14, 15],
[16, 17, 18, 19, 20],
]
r_arr = list(map(list, zip(*arr)))
perimetro = [*arr[0], *arr[-1], *r_arr[0][1:-1], *r_arr[-1][1:-1]]
print(perimetro)
print(sum(perimetro))
if __name__ == "__main__":
import doctest
doctest.testmod()
# solver_a()
# solver_b()
| 23.375 | 71 | 0.50573 |
bbec33adffc946520b52f5157928147efe6188be | 5,941 | py | Python | HIS_void/rbac/admin.py | YuanchenZhu2020/HIS_void | 7289bf537e9fc4b09750bbca76a4cc8354dc770f | [
"MIT"
] | null | null | null | HIS_void/rbac/admin.py | YuanchenZhu2020/HIS_void | 7289bf537e9fc4b09750bbca76a4cc8354dc770f | [
"MIT"
] | null | null | null | HIS_void/rbac/admin.py | YuanchenZhu2020/HIS_void | 7289bf537e9fc4b09750bbca76a4cc8354dc770f | [
"MIT"
] | null | null | null | from django import forms
from django.contrib import admin
from django.contrib.auth.models import Group
from django.contrib.auth.admin import UserAdmin as BaseUserAdmin
from django.contrib.auth.forms import ReadOnlyPasswordHashField
from django.utils.translation import gettext_lazy as _
from .models import (
ObjectPermission, URLPermission, UserGroup, UserInfo, Role, LoginLog
)
admin.site.register(UserInfo, UserAdmin)
admin.site.unregister(Group)
admin.site.register(UserGroup, UserGroupAdmin)
admin.site.register(URLPermission, URLPermissionAdmin)
admin.site.register(ObjectPermission, ObjectPermissionAdmin)
admin.site.register(Role, RoleAdmin)
admin.site.register(LoginLog, LoginLogAdmin)
| 32.113514 | 96 | 0.56068 |
bbec39b874803a9ced574ab89af24276b12b55c2 | 4,698 | py | Python | process.py | bisi-dev/wa-analytics | a657fd793a59fa551d5755877c4e6c814bc3d17c | [
"Apache-2.0"
] | 1 | 2022-01-09T21:57:56.000Z | 2022-01-09T21:57:56.000Z | process.py | bisi-dev/wa-analytics | a657fd793a59fa551d5755877c4e6c814bc3d17c | [
"Apache-2.0"
] | null | null | null | process.py | bisi-dev/wa-analytics | a657fd793a59fa551d5755877c4e6c814bc3d17c | [
"Apache-2.0"
] | null | null | null | # import modules
import os
import re
import glob
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
from wordcloud import WordCloud
| 29.923567 | 79 | 0.561303 |
bbece8b4d9743d75c14096162d201bda457080e8 | 2,857 | py | Python | server/rdp.py | husmen/Trajectory-Mapping | 215d5a2c58482b7ddb168a50dd02c59ba285c8bd | [
"MIT"
] | 2 | 2019-08-06T07:28:45.000Z | 2020-05-31T14:41:40.000Z | server/rdp.py | husmen/Trajectory-Mapping | 215d5a2c58482b7ddb168a50dd02c59ba285c8bd | [
"MIT"
] | null | null | null | server/rdp.py | husmen/Trajectory-Mapping | 215d5a2c58482b7ddb168a50dd02c59ba285c8bd | [
"MIT"
] | 1 | 2019-01-07T10:14:50.000Z | 2019-01-07T10:14:50.000Z | #!/usr/bin/python3
"""
rdp
Python implementation of the Ramer-Douglas-Peucker algorithm.
"""
import sys
import numpy as np
#from math import sqrt
#from functools import partial
from math import radians, cos, sin, asin, sqrt
if sys.version_info[0] >= 3:
xrange = range
def pl_dist(point, start, end):
"""
Calculates the distance from ``point`` to the line given
by the points ``start`` and ``end``.
:param point: a point
:type point: numpy array
:param start: a point of the line
:type start: numpy array
:param end: another point of the line
:type end: numpy array
"""
if np.all(np.equal(start, end)):
return np.linalg.norm(point - start)
return np.divide(
np.abs(np.linalg.norm(np.cross(end - start, start - point))),
np.linalg.norm(end - start))
def rdp_rec(M, epsilon, dist=pl_dist):
"""
Simplifies a given array of points.
Recursive version.
:param M: an array
:type M: numpy array
:param epsilon: epsilon in the rdp algorithm
:type epsilon: float
:param dist: distance function
:type dist: function with signature ``f(point, start, end)`` -- see :func:`rdp.pl_dist`
"""
dmax = 0.0
index = -1
for i in xrange(1, M.shape[0]):
d = dist(M[i], M[0], M[-1])
if d > dmax:
index = i
dmax = d
if dmax > epsilon:
r_1 = rdp_rec(M[:index + 1], epsilon, dist)
r_2 = rdp_rec(M[index:], epsilon, dist)
return np.vstack((r_1[:-1], r_2))
else:
return np.vstack((M[0], M[-1]))
def rdp(M, epsilon=0, dist=pl_dist):
"""
Simplifies a given array of points using the Ramer-Douglas-Peucker
algorithm.
Example:
>>> from rdp import rdp
>>> rdp([[1, 1], [2, 2], [3, 3], [4, 4]])
[[1, 1], [4, 4]]
This is a convenience wrapper around :func:`rdp.rdp_rec`
that detects if the input is a numpy array
in order to adapt the output accordingly. This means that
when it is called using a Python list as argument, a Python
list is returned, and in case of an invocation using a numpy
array, a NumPy array is returned.
Example:
>>> from rdp import rdp
>>> import numpy as np
>>> arr = np.array([1, 1, 2, 2, 3, 3, 4, 4]).reshape(4, 2)
>>> arr
array([[1, 1],
[2, 2],
[3, 3],
[4, 4]])
:param M: a series of points
:type M: numpy array with shape (n,d) where n is the number of points and d their dimension
:param epsilon: epsilon in the rdp algorithm
:type epsilon: float
:param dist: distance function
:type dist: function with signature ``f(point, start, end)`` -- see :func:`rdp.pl_dist`
"""
if "numpy" in str(type(M)):
return rdp_rec(M, epsilon, dist)
return rdp_rec(np.array(M), epsilon, dist).tolist()
| 26.453704 | 95 | 0.60098 |
bbed6bb7a92a7f22be0a1cdd4bf174a34f7f4719 | 7,655 | py | Python | tests/Monkeypatching/test_Api_monkeypatching_api_get_by_id.py | LudwikaMalinowska/Automated-Testing-Project2 | f0868700af8d6b946768d67b3c1768c2447f1a60 | [
"MIT"
] | null | null | null | tests/Monkeypatching/test_Api_monkeypatching_api_get_by_id.py | LudwikaMalinowska/Automated-Testing-Project2 | f0868700af8d6b946768d67b3c1768c2447f1a60 | [
"MIT"
] | null | null | null | tests/Monkeypatching/test_Api_monkeypatching_api_get_by_id.py | LudwikaMalinowska/Automated-Testing-Project2 | f0868700af8d6b946768d67b3c1768c2447f1a60 | [
"MIT"
] | null | null | null | import unittest
import requests
from assertpy import assert_that
from requests.exceptions import Timeout
from unittest.mock import Mock, patch
from src.Api import Api
from src.todos import todos
if __name__ == '__main__':
unittest.main() | 44.248555 | 119 | 0.678903 |
bbed960d66995a862622a4fef9dc7cece3c6c141 | 361 | py | Python | spark_auto_mapper_fhir/generator/test_generator_get_types_for_codeable_concepts.py | imranq2/SparkAutoMapper.FHIR | dd23b218fb0097d1edc2f3e688e8d6d4d7278bd2 | [
"Apache-2.0"
] | 1 | 2020-10-31T23:25:07.000Z | 2020-10-31T23:25:07.000Z | spark_auto_mapper_fhir/generator/test_generator_get_types_for_codeable_concepts.py | icanbwell/SparkAutoMapper.FHIR | 98f368e781b46523142c7cb513c670d659a93c9b | [
"Apache-2.0"
] | null | null | null | spark_auto_mapper_fhir/generator/test_generator_get_types_for_codeable_concepts.py | icanbwell/SparkAutoMapper.FHIR | 98f368e781b46523142c7cb513c670d659a93c9b | [
"Apache-2.0"
] | null | null | null | from typing import List
from spark_auto_mapper_fhir.generator.fhir_xml_schema_parser import (
FhirXmlSchemaParser,
FhirCodeableType,
)
| 24.066667 | 69 | 0.772853 |
bbed9aef40b38f60b39c83a06b6bc7dda41d6fe6 | 3,112 | py | Python | hard-gists/6572592/snippet.py | jjhenkel/dockerizeme | eaa4fe5366f6b9adf74399eab01c712cacaeb279 | [
"Apache-2.0"
] | 21 | 2019-07-08T08:26:45.000Z | 2022-01-24T23:53:25.000Z | hard-gists/6572592/snippet.py | jjhenkel/dockerizeme | eaa4fe5366f6b9adf74399eab01c712cacaeb279 | [
"Apache-2.0"
] | 5 | 2019-06-15T14:47:47.000Z | 2022-02-26T05:02:56.000Z | hard-gists/6572592/snippet.py | jjhenkel/dockerizeme | eaa4fe5366f6b9adf74399eab01c712cacaeb279 | [
"Apache-2.0"
] | 17 | 2019-05-16T03:50:34.000Z | 2021-01-14T14:35:12.000Z | #!/usr/bin/env python
# Lastfm loved tracks to Google Music All Access playlist. As noted in the comments you do need the All Access subscription thing otherwise it will always find 0 songs.
#
# Written by Tim Hutt, tdhutt@gmail.com, based on this script:
#
# https://gist.github.com/oquno/3664731
#
# Today is the 15th of September 2013.
#
# Not really tested!
#
# Update on 20th of September 2016:
#
# * Changed login API to match gmusicapi (not tested at all)
#
# Instructions:
#
# 0. Install python and pip.
# 1. Download this to a file `lastfm_to_gmusic.py`
# 2. Make it executable: `chmod +x lastfm_to_gmusic.py`
# 3. Install `gmusicapi` using `pip`: `pip install gmusicapi`
# 4. Get a last.fm API key here: http://www.last.fm/api/account/create
# 5. Run it! `./lastfm_to_gmusic.py`.
#
# Troubleshooting:
#
# 1. It says "Login error": Go to your gmail and check that it didn't block any "suspicious logins".
# 2. It doesn't find any tracks: Update gmusicapi.
# 3. Something else: Email me. There's a small chance I'll reply.
#
#
import urllib, urllib2
import gmusicapi
from xml.etree.ElementTree import *
if __name__ == '__main__':
main()
| 31.12 | 168 | 0.645566 |
bbee0d1262c642ad50187e5394e6ab5c37bd528f | 5,560 | py | Python | tests/algorithms/test_gail.py | sony/nnabla-rl | 6a9a91ac5363b8611e0c9f736590729952a8d460 | [
"Apache-2.0"
] | 75 | 2021-06-14T02:35:19.000Z | 2022-03-23T04:30:24.000Z | tests/algorithms/test_gail.py | sony/nnabla-rl | 6a9a91ac5363b8611e0c9f736590729952a8d460 | [
"Apache-2.0"
] | 2 | 2021-12-17T08:46:54.000Z | 2022-03-15T02:04:53.000Z | tests/algorithms/test_gail.py | sony/nnabla-rl | 6a9a91ac5363b8611e0c9f736590729952a8d460 | [
"Apache-2.0"
] | 3 | 2021-06-15T13:32:57.000Z | 2022-03-25T16:53:14.000Z | # Copyright 2021 Sony Corporation.
# Copyright 2021 Sony Group 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.
import numpy as np
import pytest
import nnabla as nn
import nnabla_rl.algorithms as A
import nnabla_rl.environments as E
from nnabla_rl.replay_buffer import ReplayBuffer
if __name__ == "__main__":
from testing_utils import EpisodicEnv, generate_dummy_experiences
pytest.main()
else:
from ..testing_utils import EpisodicEnv, generate_dummy_experiences
| 37.823129 | 77 | 0.673561 |