Datasets:

thepurpleowl

/

codequeries

like 6

[ { "content": "import bbqsql\n\nfrom bbq_core import bcolors\nfrom config import RequestsConfig,bbqsqlConfig\nimport text\nimport bbq_core\nimport time\nimport os\nimport sys\n\nimport argparse\nfrom ConfigParser import RawConfigParser,NoSectionError,MissingSectionHeaderError\nfrom copy import copy\n\n\n# config params that are only used in the menu and shouldn't be passed along to BlindSQLi or other parts of bbqsql\nexclude_parms = ['csv_output_file','hooks_file']\n\n# main menu\n\n\nif __name__ == '__main__':\n parser = argparse.ArgumentParser(prog='bbqsql')\n parser.add_argument('-V', '--version', action='version', version='%(prog)s 1.0')\n parser.add_argument('-c', metavar='config', nargs='+', help='import config file', default=None)\n\n results = parser.parse_args()\n print results\n\n if results.c is not None:\n bbqMenu(results.c[0])\n else:\n bbqMenu()\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "class bbqMenu():", "metadata": "root.bbqMenu", "header": "['module', '___EOS___']", "index": 19 }, { "content": " def __init__(self, run_config=None):\n # default name for config file\n self.config_file = 'attack.cfg'\n try:\n requests_config = RequestsConfig()\n bbqsql_config = bbqsqlConfig()\n\n results = None\n error = None\n valid = False\n\n # intitial user menu\n choice = ''\n while choice not in ['99',99,'quit','exit']:\n bbq_core.show_banner()\n show_main_menu = bbq_core.CreateMenu(text.main_text, text.main_menu)\n \n # special case of list item 99\n print '\\n 99) Exit the bbqsql injection toolkit\\n'\n \n rvalid = requests_config.validate()\n bvalid = bbqsql_config.validate()\n valid = rvalid and bvalid\n\n # Big results? throw that in a csv file!\n if results and len(results) <= 100:\n print results\n elif results:\n print '\\n\\nbbqsql recieved ' + str(len(results)) + ' rows of data, results truncated to last 100'\n print results[-100:]\n print '\\n\\nplease provide a filename so we can save all the results for you'\n try:\n import readline\n readline.parse_and_bind('tab: complete')\n except ImportError:\n print 'readline module not found'\n pass\n try:\n readline.parse_and_bind('tab: complete')\n fname = raw_input('CSV file name [./results.csv]: ')\n except:\n print \"something went wrong, didn't write results to a file\"\n pass\n\n if fname is not None:\n f = open(fname,'w')\n f.write(\"\\n\".join(\",\",results))\n f.close()\n\n\n if error: print bbq_core.bcolors.RED+error+ bbq_core.bcolors.ENDC\n\n if run_config:\n tmp_req_config = dict()\n tmp_http_config = dict()\n try:\n attack_config = RawConfigParser()\n self.config_file = [run_config,self.config_file][run_config is '']\n attack_config.read(self.config_file)\n except:\n pass\n try:\n for key,val in attack_config.items('Request Config'):\n tmp_req_config[key] = val\n for key,val in attack_config.items('HTTP Config'):\n tmp_http_config[key] = val\n requests_config.set_config(tmp_req_config)\n bbqsql_config.set_config(tmp_http_config)\n except NoSectionError:\n print \"bad config file. try again\"\n\n # Loaded config so clear it out\n run_config = None\n\n # mainc ore menu\n choice = (raw_input(bbq_core.setprompt()))\n\n if choice == '1':\n # Run configuration REPL for HTTP variables\n requests_config.run_config()\n \n if choice == '2':\n # Run configuration REPL for bbqsql variables\n bbqsql_config.run_config()\n \n if choice == '3': \n # Export Config\n try:\n import readline\n readline.parse_and_bind('tab: complete')\n except ImportError:\n pass\n attack_config = RawConfigParser()\n attack_config.add_section('Request Config')\n attack_config.add_section('HTTP Config')\n for key,val in requests_config.get_config().iteritems():\n attack_config.set('Request Config', key, val)\n\n for key,val in bbqsql_config.get_config().iteritems():\n attack_config.set('HTTP Config', key, val)\n\n #get filename\n try:\n fname = raw_input('Config file name [./%s]: '%self.config_file)\n self.config_file = [fname,self.config_file][fname is '']\n with open(self.config_file, 'wb') as configfile:\n attack_config.write(configfile)\n except IOError:\n print 'Invalid Config or File Path'\n pass\n except KeyboardInterrupt:\n pass \n\n if choice == '4':\n # Import Config\n try:\n import readline\n readline.parse_and_bind('tab: complete')\n except ImportError:\n pass\n tmp_req_config = dict()\n tmp_http_config = dict()\n attack_config = RawConfigParser()\n\n #get filename\n try:\n readline.parse_and_bind('tab: complete')\n fname = raw_input('Config file name [./%s]: '%self.config_file)\n self.config_file = [fname,self.config_file][fname is '']\n attack_config.read(self.config_file)\n except:\n pass\n try:\n for key,val in attack_config.items('Request Config'):\n tmp_req_config[key] = val\n for key,val in attack_config.items('HTTP Config'):\n tmp_http_config[key] = val\n requests_config.set_config(tmp_req_config)\n bbqsql_config.set_config(tmp_http_config)\n except NoSectionError:\n print \"bad config file. try again\"\n\n if choice == '5' and valid:\n # Run Exploit\n results = None\n\n # add user defined hooks to our config\n if bbqsql_config['hooks_file'] and bbqsql_config['hooks_file']['hooks_dict']:\n bbqsql_config['hooks'] = {'value':bbqsql_config['hooks_file']['hooks_dict'],'name':'hooks','validator':lambda x:True}\n\n # combine them into one dictionary\n attack_config = {}\n attack_config.update(requests_config.get_config())\n attack_config.update(bbqsql_config.get_config())\n\n #delete unwanted config params before sending the config along\n for key in exclude_parms:\n if key in attack_config:\n del(attack_config[key])\n\n # launch attack\n bbq = bbqsql.BlindSQLi(**attack_config)\n if not bbq.error:\n error = None\n try:\n ok = raw_input('Everything lookin groovy?[y,n] ')\n except KeyboardInterrupt:\n ok = False\n if ok and ok[0] != 'n':\n #print bbq\n #time.sleep(5)\n results = bbq.run()\n #output to a file if thats what they're into\n if bbqsql_config['csv_output_file']['value'] is not None:\n f = open(bbqsql_config['csv_output_file']['value'],'w')\n f.write(\"\\n\".join(results))\n f.close()\n else:\n error = bbq.error\n # delete stuff\n del(bbq)\n if choice == '6':\n bbq_core.about()\n\n bbq_core.ExitBBQ(0)\n \n # ## handle keyboard interrupts\n except KeyboardInterrupt:\n print \"\\n\\n Cath you later \" + bbq_core.bcolors.RED+\"@\" + bbq_core.bcolors.ENDC+\" the dinner table.\"", "metadata": "root.bbqMenu.__init__", "header": "['class', 'bbqMenu', '(', ')', ':', '___EOS___']", "index": 20 } ]

[ { "span": "from bbq_core import bcolors", "start_line": 2, "start_column": 0, "end_line": 2, "end_column": 28 }, { "span": "import time", "start_line": 6, "start_column": 0, "end_line": 6, "end_column": 11 }, { "span": "import os", "start_line": 7, "start_column": 0, "end_line": 7, "end_column": 9 }, { "span": "import sys", "start_line": 8, "start_column": 0, "end_line": 8, "end_column": 10 }, { "span": "from ConfigParser import RawConfigParser,NoSectionError,MissingSectionHeaderError", "start_line": 11, "start_column": 0, "end_line": 11, "end_column": 81 }, { "span": "from copy import copy", "start_line": 12, "start_column": 0, "end_line": 12, "end_column": 21 } ]

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[ { "content": " def backwards(self, orm):\n for log in orm['form_designer.FormLog'].objects.all():\n log.data = log.get_data()\n raise Exception(log.data)\n log.save()", "metadata": "root.Migration.backwards", "header": "['class', 'Migration', '(', 'DataMigration', ')', ':', '___EOS___']", "index": 26 } ]

[ { "span": "log.save()", "start_line": 30, "start_column": 12, "end_line": 30, "end_column": 22 } ]

[]

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[ { "content": "import copy\nimport datetime\nimport os\nimport re\nimport time\ntry:\n import decimal\nexcept ImportError:\n from django.utils import _decimal as decimal # for Python 2.3\n\nfrom django.db import connection\nfrom django.db.models import signals\nfrom django.db.models.query_utils import QueryWrapper\nfrom django.dispatch import dispatcher\nfrom django.conf import settings\nfrom django import forms\nfrom django.core import exceptions\nfrom django.utils.datastructures import DictWrapper\nfrom django.utils.functional import curry\nfrom django.utils.itercompat import tee\nfrom django.utils.text import capfirst\nfrom django.utils.translation import ugettext_lazy, ugettext as _\nfrom django.utils.encoding import smart_unicode, force_unicode, smart_str\nfrom django.utils import datetime_safe\n\n\n# The values to use for \"blank\" in SelectFields. Will be appended to the start of most \"choices\" lists.\nBLANK_CHOICE_DASH = [(\"\", \"---------\")]\nBLANK_CHOICE_NONE = [(\"\", \"None\")]\n\n\n# A guide to Field parameters:\n#\n# * name: The name of the field specifed in the model.\n# * attname: The attribute to use on the model object. This is the same as\n# \"name\", except in the case of ForeignKeys, where \"_id\" is\n# appended.\n# * db_column: The db_column specified in the model (or None).\n# * column: The database column for this field. This is the same as\n# \"attname\", except if db_column is specified.\n#\n# Code that introspects values, or does other dynamic things, should use\n# attname. For example, this gets the primary key value of object \"obj\":\n#\n# getattr(obj, opts.pk.attname)\n\n\n\n\n\n# TODO: Maybe move this into contrib, because it's specialized.\n\nansi_date_re = re.compile(r'^\\d{4}-\\d{1,2}-\\d{1,2}$')\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "class NOT_PROVIDED:\n pass", "metadata": "root.NOT_PROVIDED", "header": "['module', '___EOS___']", "index": 25 }, { "content": "class FieldDoesNotExist(Exception):\n pass", "metadata": "root.FieldDoesNotExist", "header": "['module', '___EOS___']", "index": 32 }, { "content": "class Field(object):\n # Designates whether empty strings fundamentally are allowed at the\n # database level.\n empty_strings_allowed = True\n\n # These track each time a Field instance is created. Used to retain order.\n # The auto_creation_counter is used for fields that Django implicitly\n # creates, creation_counter is used for all user-specified fields.\n creation_counter = 0\n auto_creation_counter = -1\n\n\n\n\n\n\n unique = property(unique)\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n choices = property(_get_choices)\n\n flatchoices = property(_get_flatchoices)\n\n\n", "metadata": "root.Field", "header": "['module', '___EOS___']", "index": 50 }, { "content": " def __init__(self, verbose_name=None, name=None, primary_key=False,\n max_length=None, unique=False, blank=False, null=False,\n db_index=False, rel=None, default=NOT_PROVIDED, editable=True,\n serialize=True, unique_for_date=None, unique_for_month=None,\n unique_for_year=None, choices=None, help_text='', db_column=None,\n db_tablespace=None, auto_created=False):\n self.name = name\n self.verbose_name = verbose_name\n self.primary_key = primary_key\n self.max_length, self._unique = max_length, unique\n self.blank, self.null = blank, null\n # Oracle treats the empty string ('') as null, so coerce the null\n # option whenever '' is a possible value.\n if self.empty_strings_allowed and connection.features.interprets_empty_strings_as_nulls:\n self.null = True\n self.rel = rel\n self.default = default\n self.editable = editable\n self.serialize = serialize\n self.unique_for_date, self.unique_for_month = unique_for_date, unique_for_month\n self.unique_for_year = unique_for_year\n self._choices = choices or []\n self.help_text = help_text\n self.db_column = db_column\n self.db_tablespace = db_tablespace or settings.DEFAULT_INDEX_TABLESPACE\n self.auto_created = auto_created\n\n # Set db_index to True if the field has a relationship and doesn't explicitly set db_index.\n self.db_index = db_index\n\n # Adjust the appropriate creation counter, and save our local copy.\n if auto_created:\n self.creation_counter = Field.auto_creation_counter\n Field.auto_creation_counter -= 1\n else:\n self.creation_counter = Field.creation_counter\n Field.creation_counter += 1", "metadata": "root.Field.__init__", "header": "['class', 'Field', '(', 'object', ')', ':', '___NEWLINE___', '# Designates whether empty strings fundamentally are allowed at the', '___NL___', '# database level.', '___NL___', '___EOS___']", "index": 61 }, { "content": " def __cmp__(self, other):\n # This is needed because bisect does not take a comparison function.\n return cmp(self.creation_counter, other.creation_counter)", "metadata": "root.Field.__cmp__", "header": "['class', 'Field', '(', 'object', ')', ':', '___NEWLINE___', '# Designates whether empty strings fundamentally are allowed at the', '___NL___', '# database level.', '___NL___', '___EOS___']", "index": 99 }, { "content": " def __deepcopy__(self, memodict):\n # We don't have to deepcopy very much here, since most things are not\n # intended to be altered after initial creation.\n obj = copy.copy(self)\n if self.rel:\n obj.rel = copy.copy(self.rel)\n memodict[id(self)] = obj\n return obj", "metadata": "root.Field.__deepcopy__", "header": "['class', 'Field', '(', 'object', ')', ':', '___NEWLINE___', '# Designates whether empty strings fundamentally are allowed at the', '___NL___', '# database level.', '___NL___', '___EOS___']", "index": 103 }, { "content": " def to_python(self, value):\n \"\"\"\n Converts the input value into the expected Python data type, raising\n django.core.exceptions.ValidationError if the data can't be converted.\n Returns the converted value. Subclasses should override this.\n \"\"\"\n return value", "metadata": "root.Field.to_python", "header": "['class', 'Field', '(', 'object', ')', ':', '___NEWLINE___', '# Designates whether empty strings fundamentally are allowed at the', '___NL___', '# database level.', '___NL___', '___EOS___']", "index": 112 }, { "content": " def db_type(self):\n \"\"\"\n Returns the database column data type for this field, taking into\n account the DATABASE_ENGINE setting.\n \"\"\"\n # The default implementation of this method looks at the\n # backend-specific DATA_TYPES dictionary, looking up the field by its\n # \"internal type\".\n #\n # A Field class can implement the get_internal_type() method to specify\n # which *preexisting* Django Field class it's most similar to -- i.e.,\n # an XMLField is represented by a TEXT column type, which is the same\n # as the TextField Django field type, which means XMLField's\n # get_internal_type() returns 'TextField'.\n #\n # But the limitation of the get_internal_type() / data_types approach\n # is that it cannot handle database column types that aren't already\n # mapped to one of the built-in Django field types. In this case, you\n # can implement db_type() instead of get_internal_type() to specify\n # exactly which wacky database column type you want to use.\n data = DictWrapper(self.__dict__, connection.ops.quote_name, \"qn_\")\n try:\n return connection.creation.data_types[self.get_internal_type()] % data\n except KeyError:\n return None", "metadata": "root.Field.db_type", "header": "['class', 'Field', '(', 'object', ')', ':', '___NEWLINE___', '# Designates whether empty strings fundamentally are allowed at the', '___NL___', '# database level.', '___NL___', '___EOS___']", "index": 120 }, { "content": " def unique(self):\n return self._unique or self.primary_key", "metadata": "root.Field.unique", "header": "['class', 'Field', '(', 'object', ')', ':', '___NEWLINE___', '# Designates whether empty strings fundamentally are allowed at the', '___NL___', '# database level.', '___NL___', '___EOS___']", "index": 146 }, { "content": " def set_attributes_from_name(self, name):\n self.name = name\n self.attname, self.column = self.get_attname_column()\n if self.verbose_name is None and name:\n self.verbose_name = name.replace('_', ' ')", "metadata": "root.Field.set_attributes_from_name", "header": "['class', 'Field', '(', 'object', ')', ':', '___NEWLINE___', '# Designates whether empty strings fundamentally are allowed at the', '___NL___', '# database level.', '___NL___', '___EOS___']", "index": 150 }, { "content": " def contribute_to_class(self, cls, name):\n self.set_attributes_from_name(name)\n cls._meta.add_field(self)\n if self.choices:\n setattr(cls, 'get_%s_display' % self.name, curry(cls._get_FIELD_display, field=self))", "metadata": "root.Field.contribute_to_class", "header": "['class', 'Field', '(', 'object', ')', ':', '___NEWLINE___', '# Designates whether empty strings fundamentally are allowed at the', '___NL___', '# database level.', '___NL___', '___EOS___']", "index": 156 }, { "content": " def get_attname(self):\n return self.name", "metadata": "root.Field.get_attname", "header": "['class', 'Field', '(', 'object', ')', ':', '___NEWLINE___', '# Designates whether empty strings fundamentally are allowed at the', '___NL___', '# database level.', '___NL___', '___EOS___']", "index": 162 }, { "content": " def get_attname_column(self):\n attname = self.get_attname()\n column = self.db_column or attname\n return attname, column", "metadata": "root.Field.get_attname_column", "header": "['class', 'Field', '(', 'object', ')', ':', '___NEWLINE___', '# Designates whether empty strings fundamentally are allowed at the', '___NL___', '# database level.', '___NL___', '___EOS___']", "index": 165 }, { "content": " def get_cache_name(self):\n return '_%s_cache' % self.name", "metadata": "root.Field.get_cache_name", "header": "['class', 'Field', '(', 'object', ')', ':', '___NEWLINE___', '# Designates whether empty strings fundamentally are allowed at the', '___NL___', '# database level.', '___NL___', '___EOS___']", "index": 170 }, { "content": " def get_internal_type(self):\n return self.__class__.__name__", "metadata": "root.Field.get_internal_type", "header": "['class', 'Field', '(', 'object', ')', ':', '___NEWLINE___', '# Designates whether empty strings fundamentally are allowed at the', '___NL___', '# database level.', '___NL___', '___EOS___']", "index": 173 }, { "content": " def pre_save(self, model_instance, add):\n \"Returns field's value just before saving.\"\n return getattr(model_instance, self.attname)", "metadata": "root.Field.pre_save", "header": "['class', 'Field', '(', 'object', ')', ':', '___NEWLINE___', '# Designates whether empty strings fundamentally are allowed at the', '___NL___', '# database level.', '___NL___', '___EOS___']", "index": 176 }, { "content": " def get_db_prep_value(self, value):\n \"\"\"Returns field's value prepared for interacting with the database\n backend.\n\n Used by the default implementations of ``get_db_prep_save``and\n `get_db_prep_lookup```\n \"\"\"\n return value", "metadata": "root.Field.get_db_prep_value", "header": "['class', 'Field', '(', 'object', ')', ':', '___NEWLINE___', '# Designates whether empty strings fundamentally are allowed at the', '___NL___', '# database level.', '___NL___', '___EOS___']", "index": 180 }, { "content": " def get_db_prep_save(self, value):\n \"Returns field's value prepared for saving into a database.\"\n return self.get_db_prep_value(value)", "metadata": "root.Field.get_db_prep_save", "header": "['class', 'Field', '(', 'object', ')', ':', '___NEWLINE___', '# Designates whether empty strings fundamentally are allowed at the', '___NL___', '# database level.', '___NL___', '___EOS___']", "index": 189 }, { "content": " def get_db_prep_lookup(self, lookup_type, value):\n \"Returns field's value prepared for database lookup.\"\n if hasattr(value, 'as_sql') or hasattr(value, '_as_sql'):\n # If the value has a relabel_aliases method, it will need to\n # be invoked before the final SQL is evaluated\n if hasattr(value, 'relabel_aliases'):\n return value\n if hasattr(value, 'as_sql'):\n sql, params = value.as_sql()\n else:\n sql, params = value._as_sql()\n return QueryWrapper(('(%s)' % sql), params)\n\n if lookup_type in ('regex', 'iregex', 'month', 'day', 'week_day', 'search'):\n return [value]\n elif lookup_type in ('exact', 'gt', 'gte', 'lt', 'lte'):\n return [self.get_db_prep_value(value)]\n elif lookup_type in ('range', 'in'):\n return [self.get_db_prep_value(v) for v in value]\n elif lookup_type in ('contains', 'icontains'):\n return [\"%%%s%%\" % connection.ops.prep_for_like_query(value)]\n elif lookup_type == 'iexact':\n return [connection.ops.prep_for_iexact_query(value)]\n elif lookup_type in ('startswith', 'istartswith'):\n return [\"%s%%\" % connection.ops.prep_for_like_query(value)]\n elif lookup_type in ('endswith', 'iendswith'):\n return [\"%%%s\" % connection.ops.prep_for_like_query(value)]\n elif lookup_type == 'isnull':\n return []\n elif lookup_type == 'year':\n try:\n value = int(value)\n except ValueError:\n raise ValueError(\"The __year lookup type requires an integer argument\")\n\n if self.get_internal_type() == 'DateField':\n return connection.ops.year_lookup_bounds_for_date_field(value)\n else:\n return connection.ops.year_lookup_bounds(value)\n\n raise TypeError(\"Field has invalid lookup: %s\" % lookup_type)", "metadata": "root.Field.get_db_prep_lookup", "header": "['class', 'Field', '(', 'object', ')', ':', '___NEWLINE___', '# Designates whether empty strings fundamentally are allowed at the', '___NL___', '# database level.', '___NL___', '___EOS___']", "index": 193 }, { "content": " def has_default(self):\n \"Returns a boolean of whether this field has a default value.\"\n return self.default is not NOT_PROVIDED", "metadata": "root.Field.has_default", "header": "['class', 'Field', '(', 'object', ')', ':', '___NEWLINE___', '# Designates whether empty strings fundamentally are allowed at the', '___NL___', '# database level.', '___NL___', '___EOS___']", "index": 235 }, { "content": " def get_default(self):\n \"Returns the default value for this field.\"\n if self.has_default():\n if callable(self.default):\n return self.default()\n return force_unicode(self.default, strings_only=True)\n if not self.empty_strings_allowed or (self.null and not connection.features.interprets_empty_strings_as_nulls):\n return None\n return \"\"", "metadata": "root.Field.get_default", "header": "['class', 'Field', '(', 'object', ')', ':', '___NEWLINE___', '# Designates whether empty strings fundamentally are allowed at the', '___NL___', '# database level.', '___NL___', '___EOS___']", "index": 239 }, { "content": " def get_validator_unique_lookup_type(self):\n return '%s__exact' % self.name", "metadata": "root.Field.get_validator_unique_lookup_type", "header": "['class', 'Field', '(', 'object', ')', ':', '___NEWLINE___', '# Designates whether empty strings fundamentally are allowed at the', '___NL___', '# database level.', '___NL___', '___EOS___']", "index": 249 }, { "content": " def get_choices(self, include_blank=True, blank_choice=BLANK_CHOICE_DASH):\n \"\"\"Returns choices with a default blank choices included, for use\n as SelectField choices for this field.\"\"\"\n first_choice = include_blank and blank_choice or []\n if self.choices:\n return first_choice + list(self.choices)\n rel_model = self.rel.to\n if hasattr(self.rel, 'get_related_field'):\n lst = [(getattr(x, self.rel.get_related_field().attname), smart_unicode(x)) for x in rel_model._default_manager.complex_filter(self.rel.limit_choices_to)]\n else:\n lst = [(x._get_pk_val(), smart_unicode(x)) for x in rel_model._default_manager.complex_filter(self.rel.limit_choices_to)]\n return first_choice + lst", "metadata": "root.Field.get_choices", "header": "['class', 'Field', '(', 'object', ')', ':', '___NEWLINE___', '# Designates whether empty strings fundamentally are allowed at the', '___NL___', '# database level.', '___NL___', '___EOS___']", "index": 252 }, { "content": " def get_choices_default(self):\n return self.get_choices()", "metadata": "root.Field.get_choices_default", "header": "['class', 'Field', '(', 'object', ')', ':', '___NEWLINE___', '# Designates whether empty strings fundamentally are allowed at the', '___NL___', '# database level.', '___NL___', '___EOS___']", "index": 265 }, { "content": " def get_flatchoices(self, include_blank=True, blank_choice=BLANK_CHOICE_DASH):\n \"Returns flattened choices with a default blank choice included.\"\n first_choice = include_blank and blank_choice or []\n return first_choice + list(self.flatchoices)", "metadata": "root.Field.get_flatchoices", "header": "['class', 'Field', '(', 'object', ')', ':', '___NEWLINE___', '# Designates whether empty strings fundamentally are allowed at the', '___NL___', '# database level.', '___NL___', '___EOS___']", "index": 268 }, { "content": " def _get_val_from_obj(self, obj):\n if obj:\n return getattr(obj, self.attname)\n else:\n return self.get_default()", "metadata": "root.Field._get_val_from_obj", "header": "['class', 'Field', '(', 'object', ')', ':', '___NEWLINE___', '# Designates whether empty strings fundamentally are allowed at the', '___NL___', '# database level.', '___NL___', '___EOS___']", "index": 273 }, { "content": " def value_to_string(self, obj):\n \"\"\"\n Returns a string value of this field from the passed obj.\n This is used by the serialization framework.\n \"\"\"\n return smart_unicode(self._get_val_from_obj(obj))", "metadata": "root.Field.value_to_string", "header": "['class', 'Field', '(', 'object', ')', ':', '___NEWLINE___', '# Designates whether empty strings fundamentally are allowed at the', '___NL___', '# database level.', '___NL___', '___EOS___']", "index": 279 }, { "content": " def bind(self, fieldmapping, original, bound_field_class):\n return bound_field_class(self, fieldmapping, original)", "metadata": "root.Field.bind", "header": "['class', 'Field', '(', 'object', ')', ':', '___NEWLINE___', '# Designates whether empty strings fundamentally are allowed at the', '___NL___', '# database level.', '___NL___', '___EOS___']", "index": 286 }, { "content": " def _get_choices(self):\n if hasattr(self._choices, 'next'):\n choices, self._choices = tee(self._choices)\n return choices\n else:\n return self._choices", "metadata": "root.Field._get_choices", "header": "['class', 'Field', '(', 'object', ')', ':', '___NEWLINE___', '# Designates whether empty strings fundamentally are allowed at the', '___NL___', '# database level.', '___NL___', '___EOS___']", "index": 289 }, { "content": " def _get_flatchoices(self):\n \"\"\"Flattened version of choices tuple.\"\"\"\n flat = []\n for choice, value in self.choices:\n if type(value) in (list, tuple):\n flat.extend(value)\n else:\n flat.append((choice,value))\n return flat", "metadata": "root.Field._get_flatchoices", "header": "['class', 'Field', '(', 'object', ')', ':', '___NEWLINE___', '# Designates whether empty strings fundamentally are allowed at the', '___NL___', '# database level.', '___NL___', '___EOS___']", "index": 297 }, { "content": " def save_form_data(self, instance, data):\n setattr(instance, self.name, data)", "metadata": "root.Field.save_form_data", "header": "['class', 'Field', '(', 'object', ')', ':', '___NEWLINE___', '# Designates whether empty strings fundamentally are allowed at the', '___NL___', '# database level.', '___NL___', '___EOS___']", "index": 308 }, { "content": " def formfield(self, form_class=forms.CharField, **kwargs):\n \"Returns a django.forms.Field instance for this database Field.\"\n defaults = {'required': not self.blank, 'label': capfirst(self.verbose_name), 'help_text': self.help_text}\n if self.has_default():\n defaults['initial'] = self.get_default()\n if callable(self.default):\n defaults['show_hidden_initial'] = True\n if self.choices:\n # Fields with choices get special treatment.\n include_blank = self.blank or not (self.has_default() or 'initial' in kwargs)\n defaults['choices'] = self.get_choices(include_blank=include_blank)\n defaults['coerce'] = self.to_python\n if self.null:\n defaults['empty_value'] = None\n form_class = forms.TypedChoiceField\n # Many of the subclass-specific formfield arguments (min_value,\n # max_value) don't apply for choice fields, so be sure to only pass\n # the values that TypedChoiceField will understand.\n for k in kwargs.keys():\n if k not in ('coerce', 'empty_value', 'choices', 'required',\n 'widget', 'label', 'initial', 'help_text',\n 'error_messages'):\n del kwargs[k]\n defaults.update(kwargs)\n return form_class(**defaults)", "metadata": "root.Field.formfield", "header": "['class', 'Field', '(', 'object', ')', ':', '___NEWLINE___', '# Designates whether empty strings fundamentally are allowed at the', '___NL___', '# database level.', '___NL___', '___EOS___']", "index": 311 }, { "content": " def value_from_object(self, obj):\n \"Returns the value of this field in the given model instance.\"\n return getattr(obj, self.attname)", "metadata": "root.Field.value_from_object", "header": "['class', 'Field', '(', 'object', ')', ':', '___NEWLINE___', '# Designates whether empty strings fundamentally are allowed at the', '___NL___', '# database level.', '___NL___', '___EOS___']", "index": 337 }, { "content": "class AutoField(Field):\n empty_strings_allowed = False\n\n\n\n", "metadata": "root.AutoField", "header": "['module', '___EOS___']", "index": 341 }, { "content": " def __init__(self, *args, **kwargs):\n assert kwargs.get('primary_key', False) is True, \"%ss must have primary_key=True.\" % self.__class__.__name__\n kwargs['blank'] = True\n Field.__init__(self, *args, **kwargs)", "metadata": "root.AutoField.__init__", "header": "['class', 'AutoField', '(', 'Field', ')', ':', '___EOS___']", "index": 343 }, { "content": " def to_python(self, value):\n if value is None:\n return value\n try:\n return int(value)\n except (TypeError, ValueError):\n raise exceptions.ValidationError(\n _(\"This value must be an integer.\"))", "metadata": "root.AutoField.to_python", "header": "['class', 'AutoField', '(', 'Field', ')', ':', '___EOS___']", "index": 348 }, { "content": " def get_db_prep_value(self, value):\n if value is None:\n return None\n return int(value)", "metadata": "root.AutoField.get_db_prep_value", "header": "['class', 'AutoField', '(', 'Field', ')', ':', '___EOS___']", "index": 357 }, { "content": " def contribute_to_class(self, cls, name):\n assert not cls._meta.has_auto_field, \"A model can't have more than one AutoField.\"\n super(AutoField, self).contribute_to_class(cls, name)\n cls._meta.has_auto_field = True\n cls._meta.auto_field = self", "metadata": "root.AutoField.contribute_to_class", "header": "['class', 'AutoField', '(', 'Field', ')', ':', '___EOS___']", "index": 362 }, { "content": " def formfield(self, **kwargs):\n return None", "metadata": "root.AutoField.formfield", "header": "['class', 'AutoField', '(', 'Field', ')', ':', '___EOS___']", "index": 368 }, { "content": "class BooleanField(Field):\n empty_strings_allowed = False\n\n\n\n\n", "metadata": "root.BooleanField", "header": "['module', '___EOS___']", "index": 371 }, { "content": " def __init__(self, *args, **kwargs):\n kwargs['blank'] = True\n if 'default' not in kwargs and not kwargs.get('null'):\n kwargs['default'] = False\n Field.__init__(self, *args, **kwargs)", "metadata": "root.BooleanField.__init__", "header": "['class', 'BooleanField', '(', 'Field', ')', ':', '___EOS___']", "index": 373 }, { "content": " def get_internal_type(self):\n return \"BooleanField\"", "metadata": "root.BooleanField.get_internal_type", "header": "['class', 'BooleanField', '(', 'Field', ')', ':', '___EOS___']", "index": 379 }, { "content": " def to_python(self, value):\n if value in (True, False): return value\n if value in ('t', 'True', '1'): return True\n if value in ('f', 'False', '0'): return False\n raise exceptions.ValidationError(\n _(\"This value must be either True or False.\"))", "metadata": "root.BooleanField.to_python", "header": "['class', 'BooleanField', '(', 'Field', ')', ':', '___EOS___']", "index": 382 }, { "content": " def get_db_prep_lookup(self, lookup_type, value):\n # Special-case handling for filters coming from a web request (e.g. the\n # admin interface). Only works for scalar values (not lists). If you're\n # passing in a list, you might as well make things the right type when\n # constructing the list.\n if value in ('1', '0'):\n value = bool(int(value))\n return super(BooleanField, self).get_db_prep_lookup(lookup_type, value)", "metadata": "root.BooleanField.get_db_prep_lookup", "header": "['class', 'BooleanField', '(', 'Field', ')', ':', '___EOS___']", "index": 389 }, { "content": " def get_db_prep_value(self, value):\n if value is None:\n return None\n return bool(value)", "metadata": "root.BooleanField.get_db_prep_value", "header": "['class', 'BooleanField', '(', 'Field', ')', ':', '___EOS___']", "index": 398 }, { "content": " def formfield(self, **kwargs):\n # Unlike most fields, BooleanField figures out include_blank from\n # self.null instead of self.blank.\n if self.choices:\n include_blank = self.null or not (self.has_default() or 'initial' in kwargs)\n defaults = {'choices': self.get_choices(include_blank=include_blank)}\n else:\n defaults = {'form_class': forms.BooleanField}\n defaults.update(kwargs)\n return super(BooleanField, self).formfield(**defaults)", "metadata": "root.BooleanField.formfield", "header": "['class', 'BooleanField', '(', 'Field', ')', ':', '___EOS___']", "index": 403 }, { "content": "class CharField(Field):\n\n", "metadata": "root.CharField", "header": "['module', '___EOS___']", "index": 414 }, { "content": " def get_internal_type(self):\n return \"CharField\"", "metadata": "root.CharField.get_internal_type", "header": "['class', 'CharField', '(', 'Field', ')', ':', '___EOS___']", "index": 415 }, { "content": " def to_python(self, value):\n if isinstance(value, basestring):\n return value\n if value is None:\n if self.null:\n return value\n else:\n raise exceptions.ValidationError(\n ugettext_lazy(\"This field cannot be null.\"))\n return smart_unicode(value)", "metadata": "root.CharField.to_python", "header": "['class', 'CharField', '(', 'Field', ')', ':', '___EOS___']", "index": 418 }, { "content": " def formfield(self, **kwargs):\n defaults = {'max_length': self.max_length}\n defaults.update(kwargs)\n return super(CharField, self).formfield(**defaults)", "metadata": "root.CharField.formfield", "header": "['class', 'CharField', '(', 'Field', ')', ':', '___EOS___']", "index": 429 }, { "content": "class CommaSeparatedIntegerField(CharField):", "metadata": "root.CommaSeparatedIntegerField", "header": "['module', '___EOS___']", "index": 435 }, { "content": " def formfield(self, **kwargs):\n defaults = {\n 'form_class': forms.RegexField,\n 'regex': '^[\\d,]+$',\n 'max_length': self.max_length,\n 'error_messages': {\n 'invalid': _(u'Enter only digits separated by commas.'),\n }\n }\n defaults.update(kwargs)\n return super(CommaSeparatedIntegerField, self).formfield(**defaults)", "metadata": "root.CommaSeparatedIntegerField.formfield", "header": "['class', 'CommaSeparatedIntegerField', '(', 'CharField', ')', ':', '___EOS___']", "index": 436 }, { "content": "class DateField(Field):\n empty_strings_allowed = False\n\n\n\n\n\n\n\n", "metadata": "root.DateField", "header": "['module', '___EOS___']", "index": 450 }, { "content": " def __init__(self, verbose_name=None, name=None, auto_now=False, auto_now_add=False, **kwargs):\n self.auto_now, self.auto_now_add = auto_now, auto_now_add\n #HACKs : auto_now_add/auto_now should be done as a default or a pre_save.\n if auto_now or auto_now_add:\n kwargs['editable'] = False\n kwargs['blank'] = True\n Field.__init__(self, verbose_name, name, **kwargs)", "metadata": "root.DateField.__init__", "header": "['class', 'DateField', '(', 'Field', ')', ':', '___EOS___']", "index": 452 }, { "content": " def get_internal_type(self):\n return \"DateField\"", "metadata": "root.DateField.get_internal_type", "header": "['class', 'DateField', '(', 'Field', ')', ':', '___EOS___']", "index": 460 }, { "content": " def to_python(self, value):\n if value is None:\n return value\n if isinstance(value, datetime.datetime):\n return value.date()\n if isinstance(value, datetime.date):\n return value\n\n if not ansi_date_re.search(value):\n raise exceptions.ValidationError(\n _('Enter a valid date in YYYY-MM-DD format.'))\n # Now that we have the date string in YYYY-MM-DD format, check to make\n # sure it's a valid date.\n # We could use time.strptime here and catch errors, but datetime.date\n # produces much friendlier error messages.\n year, month, day = map(int, value.split('-'))\n try:\n return datetime.date(year, month, day)\n except ValueError, e:\n msg = _('Invalid date: %s') % _(str(e))\n raise exceptions.ValidationError(msg)", "metadata": "root.DateField.to_python", "header": "['class', 'DateField', '(', 'Field', ')', ':', '___EOS___']", "index": 463 }, { "content": " def pre_save(self, model_instance, add):\n if self.auto_now or (self.auto_now_add and add):\n value = datetime.datetime.now()\n setattr(model_instance, self.attname, value)\n return value\n else:\n return super(DateField, self).pre_save(model_instance, add)", "metadata": "root.DateField.pre_save", "header": "['class', 'DateField', '(', 'Field', ')', ':', '___EOS___']", "index": 485 }, { "content": " def contribute_to_class(self, cls, name):\n super(DateField,self).contribute_to_class(cls, name)\n if not self.null:\n setattr(cls, 'get_next_by_%s' % self.name,\n curry(cls._get_next_or_previous_by_FIELD, field=self, is_next=True))\n setattr(cls, 'get_previous_by_%s' % self.name,\n curry(cls._get_next_or_previous_by_FIELD, field=self, is_next=False))", "metadata": "root.DateField.contribute_to_class", "header": "['class', 'DateField', '(', 'Field', ')', ':', '___EOS___']", "index": 493 }, { "content": " def get_db_prep_lookup(self, lookup_type, value):\n # For \"__month\", \"__day\", and \"__week_day\" lookups, convert the value\n # to an int so the database backend always sees a consistent type.\n if lookup_type in ('month', 'day', 'week_day'):\n return [int(value)]\n return super(DateField, self).get_db_prep_lookup(lookup_type, value)", "metadata": "root.DateField.get_db_prep_lookup", "header": "['class', 'DateField', '(', 'Field', ')', ':', '___EOS___']", "index": 501 }, { "content": " def get_db_prep_value(self, value):\n # Casts dates into the format expected by the backend\n return connection.ops.value_to_db_date(self.to_python(value))", "metadata": "root.DateField.get_db_prep_value", "header": "['class', 'DateField', '(', 'Field', ')', ':', '___EOS___']", "index": 508 }, { "content": " def value_to_string(self, obj):\n val = self._get_val_from_obj(obj)\n if val is None:\n data = ''\n else:\n data = datetime_safe.new_date(val).strftime(\"%Y-%m-%d\")\n return data", "metadata": "root.DateField.value_to_string", "header": "['class', 'DateField', '(', 'Field', ')', ':', '___EOS___']", "index": 512 }, { "content": " def formfield(self, **kwargs):\n defaults = {'form_class': forms.DateField}\n defaults.update(kwargs)\n return super(DateField, self).formfield(**defaults)", "metadata": "root.DateField.formfield", "header": "['class', 'DateField', '(', 'Field', ')', ':', '___EOS___']", "index": 520 }, { "content": "class DateTimeField(DateField):\n\n\n\n", "metadata": "root.DateTimeField", "header": "['module', '___EOS___']", "index": 525 }, { "content": " def get_internal_type(self):\n return \"DateTimeField\"", "metadata": "root.DateTimeField.get_internal_type", "header": "['class', 'DateTimeField', '(', 'DateField', ')', ':', '___EOS___']", "index": 526 }, { "content": " def to_python(self, value):\n if value is None:\n return value\n if isinstance(value, datetime.datetime):\n return value\n if isinstance(value, datetime.date):\n return datetime.datetime(value.year, value.month, value.day)\n\n # Attempt to parse a datetime:\n value = smart_str(value)\n # split usecs, because they are not recognized by strptime.\n if '.' in value:\n try:\n value, usecs = value.split('.')\n usecs = int(usecs)\n except ValueError:\n raise exceptions.ValidationError(\n _('Enter a valid date/time in YYYY-MM-DD HH:MM[:ss[.uuuuuu]] format.'))\n else:\n usecs = 0\n kwargs = {'microsecond': usecs}\n try: # Seconds are optional, so try converting seconds first.\n return datetime.datetime(*time.strptime(value, '%Y-%m-%d %H:%M:%S')[:6],\n **kwargs)\n\n except ValueError:\n try: # Try without seconds.\n return datetime.datetime(*time.strptime(value, '%Y-%m-%d %H:%M')[:5],\n **kwargs)\n except ValueError: # Try without hour/minutes/seconds.\n try:\n return datetime.datetime(*time.strptime(value, '%Y-%m-%d')[:3],\n **kwargs)\n except ValueError:\n raise exceptions.ValidationError(\n _('Enter a valid date/time in YYYY-MM-DD HH:MM[:ss[.uuuuuu]] format.'))", "metadata": "root.DateTimeField.to_python", "header": "['class', 'DateTimeField', '(', 'DateField', ')', ':', '___EOS___']", "index": 529 }, { "content": " def get_db_prep_value(self, value):\n # Casts dates into the format expected by the backend\n return connection.ops.value_to_db_datetime(self.to_python(value))", "metadata": "root.DateTimeField.get_db_prep_value", "header": "['class', 'DateTimeField', '(', 'DateField', ')', ':', '___EOS___']", "index": 566 }, { "content": " def value_to_string(self, obj):\n val = self._get_val_from_obj(obj)\n if val is None:\n data = ''\n else:\n d = datetime_safe.new_datetime(val)\n data = d.strftime('%Y-%m-%d %H:%M:%S')\n return data", "metadata": "root.DateTimeField.value_to_string", "header": "['class', 'DateTimeField', '(', 'DateField', ')', ':', '___EOS___']", "index": 570 }, { "content": " def formfield(self, **kwargs):\n defaults = {'form_class': forms.DateTimeField}\n defaults.update(kwargs)\n return super(DateTimeField, self).formfield(**defaults)", "metadata": "root.DateTimeField.formfield", "header": "['class', 'DateTimeField', '(', 'DateField', ')', ':', '___EOS___']", "index": 579 }, { "content": "class DecimalField(Field):\n empty_strings_allowed = False\n\n\n\n\n\n\n", "metadata": "root.DecimalField", "header": "['module', '___EOS___']", "index": 584 }, { "content": " def __init__(self, verbose_name=None, name=None, max_digits=None, decimal_places=None, **kwargs):\n self.max_digits, self.decimal_places = max_digits, decimal_places\n Field.__init__(self, verbose_name, name, **kwargs)", "metadata": "root.DecimalField.__init__", "header": "['class', 'DecimalField', '(', 'Field', ')', ':', '___EOS___']", "index": 586 }, { "content": " def get_internal_type(self):\n return \"DecimalField\"", "metadata": "root.DecimalField.get_internal_type", "header": "['class', 'DecimalField', '(', 'Field', ')', ':', '___EOS___']", "index": 590 }, { "content": " def to_python(self, value):\n if value is None:\n return value\n try:\n return decimal.Decimal(value)\n except decimal.InvalidOperation:\n raise exceptions.ValidationError(\n _(\"This value must be a decimal number.\"))", "metadata": "root.DecimalField.to_python", "header": "['class', 'DecimalField', '(', 'Field', ')', ':', '___EOS___']", "index": 593 }, { "content": " def _format(self, value):\n if isinstance(value, basestring) or value is None:\n return value\n else:\n return self.format_number(value)", "metadata": "root.DecimalField._format", "header": "['class', 'DecimalField', '(', 'Field', ')', ':', '___EOS___']", "index": 602 }, { "content": " def format_number(self, value):\n \"\"\"\n Formats a number into a string with the requisite number of digits and\n decimal places.\n \"\"\"\n # Method moved to django.db.backends.util.\n #\n # It is preserved because it is used by the oracle backend\n # (django.db.backends.oracle.query), and also for\n # backwards-compatibility with any external code which may have used\n # this method.\n from django.db.backends import util\n return util.format_number(value, self.max_digits, self.decimal_places)", "metadata": "root.DecimalField.format_number", "header": "['class', 'DecimalField', '(', 'Field', ')', ':', '___EOS___']", "index": 608 }, { "content": " def get_db_prep_save(self, value):\n return connection.ops.value_to_db_decimal(self.to_python(value),\n self.max_digits, self.decimal_places)", "metadata": "root.DecimalField.get_db_prep_save", "header": "['class', 'DecimalField', '(', 'Field', ')', ':', '___EOS___']", "index": 622 }, { "content": " def get_db_prep_value(self, value):\n return self.to_python(value)", "metadata": "root.DecimalField.get_db_prep_value", "header": "['class', 'DecimalField', '(', 'Field', ')', ':', '___EOS___']", "index": 626 }, { "content": " def formfield(self, **kwargs):\n defaults = {\n 'max_digits': self.max_digits,\n 'decimal_places': self.decimal_places,\n 'form_class': forms.DecimalField,\n }\n defaults.update(kwargs)\n return super(DecimalField, self).formfield(**defaults)", "metadata": "root.DecimalField.formfield", "header": "['class', 'DecimalField', '(', 'Field', ')', ':', '___EOS___']", "index": 629 }, { "content": "class EmailField(CharField):\n", "metadata": "root.EmailField", "header": "['module', '___EOS___']", "index": 638 }, { "content": " def __init__(self, *args, **kwargs):\n kwargs['max_length'] = kwargs.get('max_length', 75)\n CharField.__init__(self, *args, **kwargs)", "metadata": "root.EmailField.__init__", "header": "['class', 'EmailField', '(', 'CharField', ')', ':', '___EOS___']", "index": 639 }, { "content": " def formfield(self, **kwargs):\n defaults = {'form_class': forms.EmailField}\n defaults.update(kwargs)\n return super(EmailField, self).formfield(**defaults)", "metadata": "root.EmailField.formfield", "header": "['class', 'EmailField', '(', 'CharField', ')', ':', '___EOS___']", "index": 643 }, { "content": "class FilePathField(Field):\n\n", "metadata": "root.FilePathField", "header": "['module', '___EOS___']", "index": 648 }, { "content": " def __init__(self, verbose_name=None, name=None, path='', match=None, recursive=False, **kwargs):\n self.path, self.match, self.recursive = path, match, recursive\n kwargs['max_length'] = kwargs.get('max_length', 100)\n Field.__init__(self, verbose_name, name, **kwargs)", "metadata": "root.FilePathField.__init__", "header": "['class', 'FilePathField', '(', 'Field', ')', ':', '___EOS___']", "index": 649 }, { "content": " def formfield(self, **kwargs):\n defaults = {\n 'path': self.path,\n 'match': self.match,\n 'recursive': self.recursive,\n 'form_class': forms.FilePathField,\n }\n defaults.update(kwargs)\n return super(FilePathField, self).formfield(**defaults)", "metadata": "root.FilePathField.formfield", "header": "['class', 'FilePathField', '(', 'Field', ')', ':', '___EOS___']", "index": 654 }, { "content": " def get_internal_type(self):\n return \"FilePathField\"", "metadata": "root.FilePathField.get_internal_type", "header": "['class', 'FilePathField', '(', 'Field', ')', ':', '___EOS___']", "index": 664 }, { "content": "class FloatField(Field):\n empty_strings_allowed = False\n\n\n\n", "metadata": "root.FloatField", "header": "['module', '___EOS___']", "index": 667 }, { "content": " def get_db_prep_value(self, value):\n if value is None:\n return None\n return float(value)", "metadata": "root.FloatField.get_db_prep_value", "header": "['class', 'FloatField', '(', 'Field', ')', ':', '___EOS___']", "index": 670 }, { "content": " def get_internal_type(self):\n return \"FloatField\"", "metadata": "root.FloatField.get_internal_type", "header": "['class', 'FloatField', '(', 'Field', ')', ':', '___EOS___']", "index": 675 }, { "content": " def to_python(self, value):\n if value is None:\n return value\n try:\n return float(value)\n except (TypeError, ValueError):\n raise exceptions.ValidationError(\n _(\"This value must be a float.\"))", "metadata": "root.FloatField.to_python", "header": "['class', 'FloatField', '(', 'Field', ')', ':', '___EOS___']", "index": 678 }, { "content": " def formfield(self, **kwargs):\n defaults = {'form_class': forms.FloatField}\n defaults.update(kwargs)\n return super(FloatField, self).formfield(**defaults)", "metadata": "root.FloatField.formfield", "header": "['class', 'FloatField', '(', 'Field', ')', ':', '___EOS___']", "index": 687 }, { "content": "class IntegerField(Field):\n empty_strings_allowed = False\n\n\n", "metadata": "root.IntegerField", "header": "['module', '___EOS___']", "index": 692 }, { "content": " def get_db_prep_value(self, value):\n if value is None:\n return None\n return int(value)", "metadata": "root.IntegerField.get_db_prep_value", "header": "['class', 'IntegerField', '(', 'Field', ')', ':', '___EOS___']", "index": 694 }, { "content": " def get_internal_type(self):\n return \"IntegerField\"", "metadata": "root.IntegerField.get_internal_type", "header": "['class', 'IntegerField', '(', 'Field', ')', ':', '___EOS___']", "index": 699 }, { "content": " def to_python(self, value):\n if value is None:\n return value\n try:\n return int(value)\n except (TypeError, ValueError):\n raise exceptions.ValidationError(\n _(\"This value must be an integer.\"))", "metadata": "root.IntegerField.to_python", "header": "['class', 'IntegerField', '(', 'Field', ')', ':', '___EOS___']", "index": 702 }, { "content": " def formfield(self, **kwargs):\n defaults = {'form_class': forms.IntegerField}\n defaults.update(kwargs)\n return super(IntegerField, self).formfield(**defaults)", "metadata": "root.IntegerField.formfield", "header": "['class', 'IntegerField', '(', 'Field', ')', ':', '___EOS___']", "index": 711 }, { "content": "class IPAddressField(Field):\n empty_strings_allowed = False\n\n", "metadata": "root.IPAddressField", "header": "['module', '___EOS___']", "index": 716 }, { "content": " def __init__(self, *args, **kwargs):\n kwargs['max_length'] = 15\n Field.__init__(self, *args, **kwargs)", "metadata": "root.IPAddressField.__init__", "header": "['class', 'IPAddressField', '(', 'Field', ')', ':', '___EOS___']", "index": 718 }, { "content": " def get_internal_type(self):\n return \"IPAddressField\"", "metadata": "root.IPAddressField.get_internal_type", "header": "['class', 'IPAddressField', '(', 'Field', ')', ':', '___EOS___']", "index": 722 }, { "content": " def formfield(self, **kwargs):\n defaults = {'form_class': forms.IPAddressField}\n defaults.update(kwargs)\n return super(IPAddressField, self).formfield(**defaults)", "metadata": "root.IPAddressField.formfield", "header": "['class', 'IPAddressField', '(', 'Field', ')', ':', '___EOS___']", "index": 725 }, { "content": "class NullBooleanField(Field):\n empty_strings_allowed = False\n\n\n\n\n", "metadata": "root.NullBooleanField", "header": "['module', '___EOS___']", "index": 730 }, { "content": " def __init__(self, *args, **kwargs):\n kwargs['null'] = True\n Field.__init__(self, *args, **kwargs)", "metadata": "root.NullBooleanField.__init__", "header": "['class', 'NullBooleanField', '(', 'Field', ')', ':', '___EOS___']", "index": 732 }, { "content": " def get_internal_type(self):\n return \"NullBooleanField\"", "metadata": "root.NullBooleanField.get_internal_type", "header": "['class', 'NullBooleanField', '(', 'Field', ')', ':', '___EOS___']", "index": 736 }, { "content": " def to_python(self, value):\n if value in (None, True, False): return value\n if value in ('None',): return None\n if value in ('t', 'True', '1'): return True\n if value in ('f', 'False', '0'): return False\n raise exceptions.ValidationError(\n _(\"This value must be either None, True or False.\"))", "metadata": "root.NullBooleanField.to_python", "header": "['class', 'NullBooleanField', '(', 'Field', ')', ':', '___EOS___']", "index": 739 }, { "content": " def get_db_prep_lookup(self, lookup_type, value):\n # Special-case handling for filters coming from a web request (e.g. the\n # admin interface). Only works for scalar values (not lists). If you're\n # passing in a list, you might as well make things the right type when\n # constructing the list.\n if value in ('1', '0'):\n value = bool(int(value))\n return super(NullBooleanField, self).get_db_prep_lookup(lookup_type, value)", "metadata": "root.NullBooleanField.get_db_prep_lookup", "header": "['class', 'NullBooleanField', '(', 'Field', ')', ':', '___EOS___']", "index": 747 }, { "content": " def get_db_prep_value(self, value):\n if value is None:\n return None\n return bool(value)", "metadata": "root.NullBooleanField.get_db_prep_value", "header": "['class', 'NullBooleanField', '(', 'Field', ')', ':', '___EOS___']", "index": 756 }, { "content": " def formfield(self, **kwargs):\n defaults = {\n 'form_class': forms.NullBooleanField,\n 'required': not self.blank,\n 'label': capfirst(self.verbose_name),\n 'help_text': self.help_text}\n defaults.update(kwargs)\n return super(NullBooleanField, self).formfield(**defaults)", "metadata": "root.NullBooleanField.formfield", "header": "['class', 'NullBooleanField', '(', 'Field', ')', ':', '___EOS___']", "index": 761 }, { "content": "class PositiveIntegerField(IntegerField):\n", "metadata": "root.PositiveIntegerField", "header": "['module', '___EOS___']", "index": 770 }, { "content": " def get_internal_type(self):\n return \"PositiveIntegerField\"", "metadata": "root.PositiveIntegerField.get_internal_type", "header": "['class', 'PositiveIntegerField', '(', 'IntegerField', ')', ':', '___EOS___']", "index": 771 }, { "content": " def formfield(self, **kwargs):\n defaults = {'min_value': 0}\n defaults.update(kwargs)\n return super(PositiveIntegerField, self).formfield(**defaults)", "metadata": "root.PositiveIntegerField.formfield", "header": "['class', 'PositiveIntegerField', '(', 'IntegerField', ')', ':', '___EOS___']", "index": 774 }, { "content": "class PositiveSmallIntegerField(IntegerField):\n", "metadata": "root.PositiveSmallIntegerField", "header": "['module', '___EOS___']", "index": 779 }, { "content": " def get_internal_type(self):\n return \"PositiveSmallIntegerField\"", "metadata": "root.PositiveSmallIntegerField.get_internal_type", "header": "['class', 'PositiveSmallIntegerField', '(', 'IntegerField', ')', ':', '___EOS___']", "index": 780 }, { "content": " def formfield(self, **kwargs):\n defaults = {'min_value': 0}\n defaults.update(kwargs)\n return super(PositiveSmallIntegerField, self).formfield(**defaults)", "metadata": "root.PositiveSmallIntegerField.formfield", "header": "['class', 'PositiveSmallIntegerField', '(', 'IntegerField', ')', ':', '___EOS___']", "index": 783 }, { "content": "class SlugField(CharField):\n\n", "metadata": "root.SlugField", "header": "['module', '___EOS___']", "index": 788 }, { "content": " def __init__(self, *args, **kwargs):\n kwargs['max_length'] = kwargs.get('max_length', 50)\n # Set db_index=True unless it's been set manually.\n if 'db_index' not in kwargs:\n kwargs['db_index'] = True\n super(SlugField, self).__init__(*args, **kwargs)", "metadata": "root.SlugField.__init__", "header": "['class', 'SlugField', '(', 'CharField', ')', ':', '___EOS___']", "index": 789 }, { "content": " def get_internal_type(self):\n return \"SlugField\"", "metadata": "root.SlugField.get_internal_type", "header": "['class', 'SlugField', '(', 'CharField', ')', ':', '___EOS___']", "index": 796 }, { "content": " def formfield(self, **kwargs):\n defaults = {'form_class': forms.SlugField}\n defaults.update(kwargs)\n return super(SlugField, self).formfield(**defaults)", "metadata": "root.SlugField.formfield", "header": "['class', 'SlugField', '(', 'CharField', ')', ':', '___EOS___']", "index": 799 }, { "content": "class SmallIntegerField(IntegerField):", "metadata": "root.SmallIntegerField", "header": "['module', '___EOS___']", "index": 804 }, { "content": " def get_internal_type(self):\n return \"SmallIntegerField\"", "metadata": "root.SmallIntegerField.get_internal_type", "header": "['class', 'SmallIntegerField', '(', 'IntegerField', ')', ':', '___EOS___']", "index": 805 }, { "content": "class TextField(Field):\n", "metadata": "root.TextField", "header": "['module', '___EOS___']", "index": 808 }, { "content": " def get_internal_type(self):\n return \"TextField\"", "metadata": "root.TextField.get_internal_type", "header": "['class', 'TextField', '(', 'Field', ')', ':', '___EOS___']", "index": 809 }, { "content": " def formfield(self, **kwargs):\n defaults = {'widget': forms.Textarea}\n defaults.update(kwargs)\n return super(TextField, self).formfield(**defaults)", "metadata": "root.TextField.formfield", "header": "['class', 'TextField', '(', 'Field', ')', ':', '___EOS___']", "index": 812 }, { "content": "class TimeField(Field):\n empty_strings_allowed = False\n\n\n\n\n\n", "metadata": "root.TimeField", "header": "['module', '___EOS___']", "index": 817 }, { "content": " def __init__(self, verbose_name=None, name=None, auto_now=False, auto_now_add=False, **kwargs):\n self.auto_now, self.auto_now_add = auto_now, auto_now_add\n if auto_now or auto_now_add:\n kwargs['editable'] = False\n Field.__init__(self, verbose_name, name, **kwargs)", "metadata": "root.TimeField.__init__", "header": "['class', 'TimeField', '(', 'Field', ')', ':', '___EOS___']", "index": 819 }, { "content": " def get_internal_type(self):\n return \"TimeField\"", "metadata": "root.TimeField.get_internal_type", "header": "['class', 'TimeField', '(', 'Field', ')', ':', '___EOS___']", "index": 825 }, { "content": " def to_python(self, value):\n if value is None:\n return None\n if isinstance(value, datetime.time):\n return value\n if isinstance(value, datetime.datetime):\n # Not usually a good idea to pass in a datetime here (it loses\n # information), but this can be a side-effect of interacting with a\n # database backend (e.g. Oracle), so we'll be accommodating.\n return value.time\n\n # Attempt to parse a datetime:\n value = smart_str(value)\n # split usecs, because they are not recognized by strptime.\n if '.' in value:\n try:\n value, usecs = value.split('.')\n usecs = int(usecs)\n except ValueError:\n raise exceptions.ValidationError(\n _('Enter a valid time in HH:MM[:ss[.uuuuuu]] format.'))\n else:\n usecs = 0\n kwargs = {'microsecond': usecs}\n\n try: # Seconds are optional, so try converting seconds first.\n return datetime.time(*time.strptime(value, '%H:%M:%S')[3:6],\n **kwargs)\n except ValueError:\n try: # Try without seconds.\n return datetime.time(*time.strptime(value, '%H:%M')[3:5],\n **kwargs)\n except ValueError:\n raise exceptions.ValidationError(\n _('Enter a valid time in HH:MM[:ss[.uuuuuu]] format.'))", "metadata": "root.TimeField.to_python", "header": "['class', 'TimeField', '(', 'Field', ')', ':', '___EOS___']", "index": 828 }, { "content": " def pre_save(self, model_instance, add):\n if self.auto_now or (self.auto_now_add and add):\n value = datetime.datetime.now().time()\n setattr(model_instance, self.attname, value)\n return value\n else:\n return super(TimeField, self).pre_save(model_instance, add)", "metadata": "root.TimeField.pre_save", "header": "['class', 'TimeField', '(', 'Field', ')', ':', '___EOS___']", "index": 864 }, { "content": " def get_db_prep_value(self, value):\n # Casts times into the format expected by the backend\n return connection.ops.value_to_db_time(self.to_python(value))", "metadata": "root.TimeField.get_db_prep_value", "header": "['class', 'TimeField', '(', 'Field', ')', ':', '___EOS___']", "index": 872 }, { "content": " def value_to_string(self, obj):\n val = self._get_val_from_obj(obj)\n if val is None:\n data = ''\n else:\n data = val.strftime(\"%H:%M:%S\")\n return data", "metadata": "root.TimeField.value_to_string", "header": "['class', 'TimeField', '(', 'Field', ')', ':', '___EOS___']", "index": 876 }, { "content": " def formfield(self, **kwargs):\n defaults = {'form_class': forms.TimeField}\n defaults.update(kwargs)\n return super(TimeField, self).formfield(**defaults)", "metadata": "root.TimeField.formfield", "header": "['class', 'TimeField', '(', 'Field', ')', ':', '___EOS___']", "index": 884 }, { "content": "class URLField(CharField):\n", "metadata": "root.URLField", "header": "['module', '___EOS___']", "index": 889 }, { "content": " def __init__(self, verbose_name=None, name=None, verify_exists=True, **kwargs):\n kwargs['max_length'] = kwargs.get('max_length', 200)\n self.verify_exists = verify_exists\n CharField.__init__(self, verbose_name, name, **kwargs)", "metadata": "root.URLField.__init__", "header": "['class', 'URLField', '(', 'CharField', ')', ':', '___EOS___']", "index": 890 }, { "content": " def formfield(self, **kwargs):\n defaults = {'form_class': forms.URLField, 'verify_exists': self.verify_exists}\n defaults.update(kwargs)\n return super(URLField, self).formfield(**defaults)", "metadata": "root.URLField.formfield", "header": "['class', 'URLField', '(', 'CharField', ')', ':', '___EOS___']", "index": 895 }, { "content": "class XMLField(TextField):", "metadata": "root.XMLField", "header": "['module', '___EOS___']", "index": 900 }, { "content": " def __init__(self, verbose_name=None, name=None, schema_path=None, **kwargs):\n self.schema_path = schema_path\n Field.__init__(self, verbose_name, name, **kwargs)", "metadata": "root.XMLField.__init__", "header": "['class', 'XMLField', '(', 'TextField', ')', ':', '___EOS___']", "index": 901 } ]

[ { "span": "import os", "start_line": 2, "start_column": 0, "end_line": 2, "end_column": 9 }, { "span": "from django.db.models import signals", "start_line": 11, "start_column": 0, "end_line": 11, "end_column": 36 }, { "span": "from django.dispatch import dispatcher", "start_line": 13, "start_column": 0, "end_line": 13, "end_column": 38 } ]

[]

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[ { "content": "#!/usr/bin/env python3\n# -*- coding: utf-8 -*-\n#\n# cesium documentation build configuration file, created by\n# sphinx-quickstart on Thu Jul 23 13:00:45 2015.\n#\n# This file is execfile()d with the current directory set to its\n# containing dir.\n#\n# Note that not all possible configuration values are present in this\n# autogenerated file.\n#\n# All configuration values have a default; values that are commented out\n# serve to show the default.\n\nimport sys\nimport os\nimport shlex\n\n# If extensions (or modules to document with autodoc) are in another directory,\n# add these directories to sys.path here. If the directory is relative to the\n# documentation root, use os.path.abspath to make it absolute, like shown here.\n#sys.path.insert(0, os.path.abspath('.'))\n\n# -- General configuration ------------------------------------------------\n\n# If your documentation needs a minimal Sphinx version, state it here.\n#needs_sphinx = '1.0'\n\n# Add any Sphinx extension module names here, as strings. They can be\n# extensions coming with Sphinx (named 'sphinx.ext.*') or your custom\n# ones.\nextensions = [\n 'sphinx.ext.mathjax',\n 'sphinx.ext.autodoc',\n 'sphinx.ext.autosummary',\n# 'sphinx.ext.pngmath',\n 'numpydoc',\n# 'plot2rst',\n# 'sphinx.ext.intersphinx',\n# 'sphinx.ext.linkcode',\n]\n\n# Add any paths that contain templates here, relative to this directory.\ntemplates_path = ['_templates']\n\n# The suffix(es) of source filenames.\nfrom recommonmark.parser import CommonMarkParser\n\nsource_parsers = {\n '.md': CommonMarkParser,\n}\n\nsource_suffix = ['.rst', '.md', '.txt']\n\n# The encoding of source files.\n#source_encoding = 'utf-8-sig'\n\n# The master toctree document.\nmaster_doc = 'index'\n\n# General information about the project.\nproject = 'cesium'\ncopyright = '2015, The cesium Team'\nauthor = 'The cesium Team'\n\n# The version info for the project you're documenting, acts as replacement for\n# |version| and |release|, also used in various other places throughout the\n# built documents.\n#\n\nsetup_lines = open('../cesium/__init__.py').readlines()\nversion = 'vUndefined'\nfor l in setup_lines:\n if l.startswith('__version__'):\n version = l.split(\"'\")[1]\n break\n\n# The full version, including alpha/beta/rc tags.\nrelease = version\n\n# The short X.Y version.\nversion = '0.4'\n# The full version, including alpha/beta/rc tags.\nrelease = '0.4.dev0'\n\n# The language for content autogenerated by Sphinx. Refer to documentation\n# for a list of supported languages.\n#\n# This is also used if you do content translation via gettext catalogs.\n# Usually you set \"language\" from the command line for these cases.\nlanguage = None\n\n# There are two options for replacing |today|: either, you set today to some\n# non-false value, then it is used:\n#today = ''\n# Else, today_fmt is used as the format for a strftime call.\n#today_fmt = '%B %d, %Y'\n\n# List of patterns, relative to source directory, that match files and\n# directories to ignore when looking for source files.\nexclude_patterns = ['_build']\n\n# The reST default role (used for this markup: `text`) to use for all\n# documents.\n#default_role = None\n\n# If true, '()' will be appended to :func: etc. cross-reference text.\n#add_function_parentheses = True\n\n# If true, the current module name will be prepended to all description\n# unit titles (such as .. function::).\n#add_module_names = True\n\n# If true, sectionauthor and moduleauthor directives will be shown in the\n# output. They are ignored by default.\n#show_authors = False\n\n# The name of the Pygments (syntax highlighting) style to use.\npygments_style = 'sphinx'\n\n# A list of ignored prefixes for module index sorting.\n#modindex_common_prefix = []\n\n# If true, keep warnings as \"system message\" paragraphs in the built documents.\n#keep_warnings = False\n\n# If true, `todo` and `todoList` produce output, else they produce nothing.\ntodo_include_todos = False\n\n# -- Options for HTML output ----------------------------------------------\n\n# The theme to use for HTML and HTML Help pages. See the documentation for\n# a list of builtin themes.\n# Per https://github.com/snide/sphinx_rtd_theme: specify theme if not on RTD\non_rtd = os.environ.get('READTHEDOCS', None) == 'True'\nif not on_rtd: # only import and set the theme if we're building docs locally\n import sphinx_rtd_theme\n html_theme = 'sphinx_rtd_theme'\n\n# Theme options are theme-specific and customize the look and feel of a theme\n# further. For a list of options available for each theme, see the\n# documentation.\n#html_theme_options = {}\n\n# Add any paths that contain custom themes here, relative to this directory.\n#html_theme_path = []\n\n# The name for this set of Sphinx documents. If None, it defaults to\n# \"<project> v<release> documentation\".\n#html_title = None\n\n# A shorter title for the navigation bar. Default is the same as html_title.\n#html_short_title = None\n\n# The name of an image file (relative to this directory) to place at the top\n# of the sidebar.\n#html_logo = None\n\n# The name of an image file (within the static path) to use as favicon of the\n# docs. This file should be a Windows icon file (.ico) being 16x16 or 32x32\n# pixels large.\n#html_favicon = None\n\n# Add any paths that contain custom static files (such as style sheets) here,\n# relative to this directory. They are copied after the builtin static files,\n# so a file named \"default.css\" will overwrite the builtin \"default.css\".\nhtml_static_path = ['_static']\n\n# Add any extra paths that contain custom files (such as robots.txt or\n# .htaccess) here, relative to this directory. These files are copied\n# directly to the root of the documentation.\n#html_extra_path = []\n\n# If not '', a 'Last updated on:' timestamp is inserted at every page bottom,\n# using the given strftime format.\n#html_last_updated_fmt = '%b %d, %Y'\n\n# If true, SmartyPants will be used to convert quotes and dashes to\n# typographically correct entities.\n#html_use_smartypants = True\n\n# Custom sidebar templates, maps document names to template names.\n#html_sidebars = {}\n\n# Additional templates that should be rendered to pages, maps page names to\n# template names.\n#html_additional_pages = {}\n\n# If false, no module index is generated.\n#html_domain_indices = True\n\n# If false, no index is generated.\n#html_use_index = True\n\n# If true, the index is split into individual pages for each letter.\n#html_split_index = False\n\n# If true, links to the reST sources are added to the pages.\nhtml_show_sourcelink = False\n\n# If true, \"Created using Sphinx\" is shown in the HTML footer. Default is True.\n#html_show_sphinx = True\n\n# If true, \"(C) Copyright ...\" is shown in the HTML footer. Default is True.\n#html_show_copyright = True\n\n# If true, an OpenSearch description file will be output, and all pages will\n# contain a <link> tag referring to it. The value of this option must be the\n# base URL from which the finished HTML is served.\n#html_use_opensearch = ''\n\n# This is the file name suffix for HTML files (e.g. \".xhtml\").\n#html_file_suffix = None\n\n# Language to be used for generating the HTML full-text search index.\n# Sphinx supports the following languages:\n# 'da', 'de', 'en', 'es', 'fi', 'fr', 'h', 'it', 'ja'\n# 'nl', 'no', 'pt', 'ro', 'r', 'sv', 'tr'\n#html_search_language = 'en'\n\n# A dictionary with options for the search language support, empty by default.\n# Now only 'ja' uses this config value\n#html_search_options = {'type': 'default'}\n\n# The name of a javascript file (relative to the configuration directory) that\n# implements a search results scorer. If empty, the default will be used.\n#html_search_scorer = 'scorer.js'\n\n# Output file base name for HTML help builder.\nhtmlhelp_basename = 'cesiumdoc'\n\n# -- Options for LaTeX output ---------------------------------------------\n\nlatex_elements = {\n# The paper size ('letterpaper' or 'a4paper').\n#'papersize': 'letterpaper',\n\n# The font size ('10pt', '11pt' or '12pt').\n#'pointsize': '10pt',\n\n# Additional stuff for the LaTeX preamble.\n#'preamble': '',\n\n# Latex figure (float) alignment\n#'figure_align': 'htbp',\n}\n\n# Grouping the document tree into LaTeX files. List of tuples\n# (source start file, target name, title,\n# author, documentclass [howto, manual, or own class]).\nlatex_documents = [\n (master_doc, 'cesium.tex', 'cesium Documentation',\n 'The cesium Team', 'manual'),\n]\n\n# The name of an image file (relative to this directory) to place at the top of\n# the title page.\n#latex_logo = None\n\n# For \"manual\" documents, if this is true, then toplevel headings are parts,\n# not chapters.\n#latex_use_parts = False\n\n# If true, show page references after internal links.\n#latex_show_pagerefs = False\n\n# If true, show URL addresses after external links.\n#latex_show_urls = False\n\n# Documents to append as an appendix to all manuals.\n#latex_appendices = []\n\n# If false, no module index is generated.\n#latex_domain_indices = True\n\n\n# -- Options for manual page output ---------------------------------------\n\n# One entry per manual page. List of tuples\n# (source start file, name, description, authors, manual section).\nman_pages = [\n (master_doc, 'cesium', 'cesium Documentation',\n [author], 1)\n]\n\n# If true, show URL addresses after external links.\n#man_show_urls = False\n\n\n# -- Options for Texinfo output -------------------------------------------\n\n# Grouping the document tree into Texinfo files. List of tuples\n# (source start file, target name, title, author,\n# dir menu entry, description, category)\ntexinfo_documents = [\n (master_doc, 'cesium', 'cesium Documentation',\n author, 'cesium', 'One line description of project.',\n 'Miscellaneous'),\n]\n\n# Documents to append as an appendix to all manuals.\n#texinfo_appendices = []\n\n# If false, no module index is generated.\n#texinfo_domain_indices = True\n\n# How to display URL addresses: 'footnote', 'no', or 'inline'.\n#texinfo_show_urls = 'footnote'\n\n# If true, do not generate a @detailmenu in the \"Top\" node's menu.\n#texinfo_no_detailmenu = False\n\n\n# -- Build cesium API documentation ----------------------------------------\nsys.path.append(os.path.join(os.path.dirname(__name__), '..'))\nsys.path.append(os.path.join(os.path.dirname(__name__), 'tools'))\nfrom apigen import ApiDocWriter\nimport cesium\npackage = 'cesium'\nmodule = sys.modules[package]\n\noutdir = 'api'\ndocwriter = ApiDocWriter(package)\ndocwriter.write_api_docs(outdir)\ndocwriter.write_index(outdir, 'api', relative_to='api')\nprint('%d files written' % len(docwriter.written_modules))\n\n\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "def setup(app):\n app.add_stylesheet(\"output_cells.css\")", "metadata": "root.setup", "header": "['module', '___EOS___']", "index": 329 } ]

[ { "span": "import shlex", "start_line": 17, "start_column": 0, "end_line": 17, "end_column": 12 }, { "span": "import sphinx_rtd_theme", "start_line": 137, "start_column": 4, "end_line": 137, "end_column": 27 }, { "span": "import cesium", "start_line": 318, "start_column": 0, "end_line": 318, "end_column": 13 } ]

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[ { "content": "import shutil\nimport json\n\nfrom rest_framework import routers, serializers, viewsets, parsers, filters\nfrom rest_framework.views import APIView\nfrom rest_framework.exceptions import APIException\nfrom rest_framework.response import Response\n\nfrom django.core.exceptions import ValidationError\nfrom django.core.files.uploadedfile import SimpleUploadedFile, InMemoryUploadedFile\nfrom django.core.validators import URLValidator\n\nfrom base.models import Project, SeedsList\nfrom apps.crawl_space.models import Crawl, CrawlModel\n\nfrom elasticsearch import Elasticsearch\nfrom elasticsearch.exceptions import ConnectionError, NotFoundError\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\"\"\"\nViewset Classes.\n\nFiltering is provided by django-filter.\n\nBackend settings are in common_settings.py under REST_FRAMEWORK. Setting is:\n 'DEFAULT_FILTER_BACKENDS': ('rest_framework.filters.DjangoFilterBackend',)\n\nThis backend is supplied to every viewset by default. Alter query fields by adding\nor removing items from filter_fields\n\"\"\"\n\n\n\n\n\n\n\n\n\n\nrouter = routers.DefaultRouter()\nrouter.register(r\"projects\", ProjectViewSet)\nrouter.register(r\"crawls\", CrawlViewSet)\nrouter.register(r\"crawl_models\", CrawlModelViewSet)\nrouter.register(r\"seeds_list\", SeedsListViewSet)\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "class DataWakeIndexUnavailable(APIException):\n status_code = 404\n default_detail = \"The server failed to find the DataWake index in elasticsearch.\"", "metadata": "root.DataWakeIndexUnavailable", "header": "['module', '___EOS___']", "index": 19 }, { "content": "class SlugModelSerializer(serializers.ModelSerializer):\n slug = serializers.SlugField(required=False, read_only=True)", "metadata": "root.SlugModelSerializer", "header": "['module', '___EOS___']", "index": 24 }, { "content": "class ProjectSerializer(SlugModelSerializer):\n url = serializers.CharField(read_only=True)\n\n class Meta:\n model = Project", "metadata": "root.ProjectSerializer", "header": "['module', '___EOS___']", "index": 28 }, { "content": "class CrawlSerializer(SlugModelSerializer):\n # Expose these fields, but only as read only.\n id = serializers.ReadOnlyField()\n seeds_list = serializers.FileField(read_only=True, use_url=False)\n status = serializers.CharField(read_only=True)\n config = serializers.CharField(read_only=True)\n index_name = serializers.CharField(read_only=True)\n url = serializers.CharField(read_only=True)\n pages_crawled = serializers.IntegerField(read_only=True)\n harvest_rate = serializers.FloatField(read_only=True)\n location = serializers.CharField(read_only=True)\n\n\n class Meta:\n model = Crawl", "metadata": "root.CrawlSerializer", "header": "['module', '___EOS___']", "index": 35 }, { "content": " def validate_crawler(self, value):\n if value == \"ache\" and not self.initial_data.get(\"crawl_model\"):\n raise serializers.ValidationError(\"Ache crawls require a Crawl Model.\")\n return value", "metadata": "root.CrawlSerializer.validate_crawler", "header": "['class', 'CrawlSerializer', '(', 'SlugModelSerializer', ')', ':', '___NEWLINE___', '# Expose these fields, but only as read only.', '___NL___', '___EOS___']", "index": 47 }, { "content": "class CrawlModelSerializer(SlugModelSerializer):\n model = serializers.FileField(use_url=False)\n features = serializers.FileField(use_url=False)\n url = serializers.CharField(read_only=True)\n\n\n\n class Meta:\n model = CrawlModel", "metadata": "root.CrawlModelSerializer", "header": "['module', '___EOS___']", "index": 56 }, { "content": " def validate_model(self, value):\n if value.name != \"pageclassifier.model\":\n raise serializers.ValidationError(\"File must be named pageclassifier.model\")\n return value", "metadata": "root.CrawlModelSerializer.validate_model", "header": "['class', 'CrawlModelSerializer', '(', 'SlugModelSerializer', ')', ':', '___EOS___']", "index": 61 }, { "content": " def validate_features(self, value):\n if value.name != \"pageclassifier.features\":\n raise serializers.ValidationError(\"File must be named pageclassifier.features\")\n return value", "metadata": "root.CrawlModelSerializer.validate_features", "header": "['class', 'CrawlModelSerializer', '(', 'SlugModelSerializer', ')', ':', '___EOS___']", "index": 66 }, { "content": "class SeedsListSerializer(SlugModelSerializer):\n url = serializers.CharField(read_only=True)\n file_string = serializers.CharField(read_only=True)\n\n\n class Meta:\n model = SeedsList", "metadata": "root.SeedsListSerializer", "header": "['module', '___EOS___']", "index": 75 }, { "content": " def validate_seeds(self, value):\n try:\n seeds = json.loads(value)\n except ValueError:\n raise serializers.ValidationError(\"Seeds must be a JSON encoded string.\")\n if type(seeds) != list:\n raise serializers.ValidationError(\"Seeds must be an array of URLs.\")\n validator = URLValidator()\n errors = []\n for index, x in enumerate(seeds):\n try:\n validator(x)\n except ValidationError:\n # Add index to make it easier for CodeMirror to select the right\n # line.\n errors.append({index: x})\n if errors:\n errors.insert(0, \"The seeds list contains invalid urls.\")\n errors.append({\"list\": \"\\n\".join(seeds)})\n raise serializers.ValidationError(errors)\n return value", "metadata": "root.SeedsListSerializer.validate_seeds", "header": "['class', 'SeedsListSerializer', '(', 'SlugModelSerializer', ')', ':', '___EOS___']", "index": 79 }, { "content": "class ProjectViewSet(viewsets.ModelViewSet):\n queryset = Project.objects.all()\n serializer_class = ProjectSerializer\n filter_fields = ('id', 'slug', 'name',)", "metadata": "root.ProjectViewSet", "header": "['module', '___EOS___']", "index": 116 }, { "content": "class CrawlViewSet(viewsets.ModelViewSet):\n queryset = Crawl.objects.all()\n serializer_class = CrawlSerializer\n filter_fields = ('id', 'slug', 'name', 'description', 'status', 'project',\n 'crawl_model', 'crawler', 'seeds_object')", "metadata": "root.CrawlViewSet", "header": "['module', '___EOS___']", "index": 122 }, { "content": "class CrawlModelViewSet(viewsets.ModelViewSet):\n queryset = CrawlModel.objects.all()\n serializer_class = CrawlModelSerializer\n filter_fields = ('id', 'slug', 'name', 'project',)\n", "metadata": "root.CrawlModelViewSet", "header": "['module', '___EOS___']", "index": 129 }, { "content": " def destroy(self, request, pk=None):\n model = CrawlModel.objects.get(pk=pk)\n crawls = Crawl.objects.all().filter(crawl_model=pk)\n if crawls:\n message = \"The Crawl Model is being used by the following Crawls and cannot be deleted: \"\n raise serializers.ValidationError({\n \"message\": message,\n \"errors\": [x.name for x in crawls],\n })\n else:\n shutil.rmtree(model.get_model_path())\n return super(CrawlModelViewSet, self).destroy(request)", "metadata": "root.CrawlModelViewSet.destroy", "header": "['class', 'CrawlModelViewSet', '(', 'viewsets', '.', 'ModelViewSet', ')', ':', '___EOS___']", "index": 134 }, { "content": "class SeedsListViewSet(viewsets.ModelViewSet):\n queryset = SeedsList.objects.all()\n serializer_class = SeedsListSerializer\n filter_fields = ('id', 'name', 'seeds', 'slug',)\n\n", "metadata": "root.SeedsListViewSet", "header": "['module', '___EOS___']", "index": 148 }, { "content": " def create(self, request):\n # If a seeds file or a textseeds exists, then use those. Otherwise, look\n # for a string in request.data[\"seeds\"]\n seeds_list = request.FILES.get(\"seeds\", False)\n textseeds = request.data.get(\"textseeds\", False)\n if seeds_list:\n request.data[\"seeds\"] = json.dumps(map(str.strip, seeds_list.readlines()))\n elif textseeds:\n if type(textseeds) == unicode:\n request.data[\"seeds\"] = json.dumps(map(unicode.strip, textseeds.split(\"\\n\")))\n # Get rid of carriage return character.\n elif type(textseeds) == str:\n request.data[\"seeds\"] = json.dumps(map(str.strip, textseeds.split(\"\\n\")))\n return super(SeedsListViewSet, self).create(request)", "metadata": "root.SeedsListViewSet.create", "header": "['class', 'SeedsListViewSet', '(', 'viewsets', '.', 'ModelViewSet', ')', ':', '___EOS___']", "index": 153 }, { "content": " def destroy(self, request, pk=None):\n seeds = SeedsList.objects.get(pk=pk)\n crawls = Crawl.objects.all().filter(seeds_object=pk)\n if crawls:\n message = \"The Seeds List is being used by the following Crawls and cannot be deleted: \"\n raise serializers.ValidationError({\n \"message\": message,\n \"errors\": [x.name for x in crawls],\n })\n else:\n return super(SeedsListViewSet, self).destroy(request)", "metadata": "root.SeedsListViewSet.destroy", "header": "['class', 'SeedsListViewSet', '(', 'viewsets', '.', 'ModelViewSet', ')', ':', '___EOS___']", "index": 168 }, { "content": "class DataWakeView(APIView):\n index = \"datawake\"\n es = Elasticsearch()\n\n", "metadata": "root.DataWakeView", "header": "['module', '___EOS___']", "index": 181 }, { "content": " def create_trails(self, trail_ids):\n trails = []\n for x in trail_ids:\n url_search = self.es.search(index=self.index, q=\"trail_id:%d\" % x,\n fields=\"url\", size=1000)[\"hits\"][\"hits\"]\n new_trail = {\"trail_id\": x, \"urls\": [], \"domain_name\":url_search[0][\"_type\"]}\n for y in url_search:\n new_trail[\"urls\"].append(y[\"fields\"][\"url\"][0])\n new_trail.update({\"urls_string\": \"\\n\".join(new_trail[\"urls\"])})\n trails.append(new_trail)\n return trails", "metadata": "root.DataWakeView.create_trails", "header": "['class', 'DataWakeView', '(', 'APIView', ')', ':', '___EOS___']", "index": 185 }, { "content": " def get(self, request, format=None):\n # TODO: catch all exception. At the very least, deal with 404 not found and\n # connection refused exceptions.\n # Temporarily remove exceptions for debugging.\n try:\n trail_ids = [x[\"key\"] for x in self.es.search(index=self.index, body={\n \"aggs\" : {\n \"trail_id\" : {\n \"terms\" : { \"field\" : \"trail_id\" }\n }\n }\n })[\"aggregations\"][\"trail_id\"][\"buckets\"]]\n response = self.create_trails(trail_ids)\n except ConnectionError as e:\n raise OSError(\"Failed to connect to local elasticsearch instance.\")\n except NotFoundError:\n raise DataWakeIndexUnavailable\n return Response(response)", "metadata": "root.DataWakeView.get", "header": "['class', 'DataWakeView', '(', 'APIView', ')', ':', '___EOS___']", "index": 197 } ]

[ { "span": "from rest_framework import routers, serializers, viewsets, parsers, filters", "start_line": 3, "start_column": 0, "end_line": 3, "end_column": 75 }, { "span": "from django.core.files.uploadedfile import SimpleUploadedFile, InMemoryUploadedFile", "start_line": 9, "start_column": 0, "end_line": 9, "end_column": 83 } ]

[]

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[ { "content": " def __invariant__(dataset_id, lease):\n \"\"\"\n The UUID of the dataset (key) must match the dataset UUID of\n the Lease instance (value).\n \"\"\"\n if dataset_id != lease.dataset_id:\n return (False, \"dataset_id {} does not match lease {}\".format(\n dataset_id, lease.dataset_id\n ))\n return (True, \"\")", "metadata": "root.Leases.__invariant__", "header": "['class', 'Leases', '(', 'CheckedPMap', ')', ':', '___EOS___']", "index": 542 } ]

[ { "span": "def __invariant__(dataset_id, lease):", "start_line": 542, "start_column": 4, "end_line": 542, "end_column": 41 } ]

[]

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[ { "content": "# -*- coding: utf-8 -*-\nfrom south.utils import datetime_utils as datetime\nfrom south.db import db\nfrom south.v2 import SchemaMigration\nfrom django.db import models\n\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "class Migration(SchemaMigration):\n\n\n\n\n\n models = {\n u'auth.group': {\n 'Meta': {'object_name': 'Group'},\n u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),\n 'name': ('django.db.models.fields.CharField', [], {'unique': 'True', 'max_length': '80'}),\n 'permissions': ('django.db.models.fields.related.ManyToManyField', [], {'to': u\"orm['auth.Permission']\", 'symmetrical': 'False', 'blank': 'True'})\n },\n u'auth.permission': {\n 'Meta': {'ordering': \"(u'content_type__app_label', u'content_type__model', u'codename')\", 'unique_together': \"((u'content_type', u'codename'),)\", 'object_name': 'Permission'},\n 'codename': ('django.db.models.fields.CharField', [], {'max_length': '100'}),\n 'content_type': ('django.db.models.fields.related.ForeignKey', [], {'to': u\"orm['contenttypes.ContentType']\"}),\n u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),\n 'name': ('django.db.models.fields.CharField', [], {'max_length': '50'})\n },\n u'auth.user': {\n 'Meta': {'object_name': 'User'},\n 'date_joined': ('django.db.models.fields.DateTimeField', [], {'default': 'datetime.datetime.now'}),\n 'email': ('django.db.models.fields.EmailField', [], {'max_length': '75', 'blank': 'True'}),\n 'first_name': ('django.db.models.fields.CharField', [], {'max_length': '30', 'blank': 'True'}),\n 'groups': ('django.db.models.fields.related.ManyToManyField', [], {'symmetrical': 'False', 'related_name': \"u'user_set'\", 'blank': 'True', 'to': u\"orm['auth.Group']\"}),\n u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),\n 'is_active': ('django.db.models.fields.BooleanField', [], {'default': 'True'}),\n 'is_staff': ('django.db.models.fields.BooleanField', [], {'default': 'False'}),\n 'is_superuser': ('django.db.models.fields.BooleanField', [], {'default': 'False'}),\n 'last_login': ('django.db.models.fields.DateTimeField', [], {'default': 'datetime.datetime.now'}),\n 'last_name': ('django.db.models.fields.CharField', [], {'max_length': '30', 'blank': 'True'}),\n 'password': ('django.db.models.fields.CharField', [], {'max_length': '128'}),\n 'user_permissions': ('django.db.models.fields.related.ManyToManyField', [], {'symmetrical': 'False', 'related_name': \"u'user_set'\", 'blank': 'True', 'to': u\"orm['auth.Permission']\"}),\n 'username': ('django.db.models.fields.CharField', [], {'unique': 'True', 'max_length': '30'})\n },\n u'contenttypes.contenttype': {\n 'Meta': {'ordering': \"('name',)\", 'unique_together': \"(('app_label', 'model'),)\", 'object_name': 'ContentType', 'db_table': \"'django_content_type'\"},\n 'app_label': ('django.db.models.fields.CharField', [], {'max_length': '100'}),\n u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),\n 'model': ('django.db.models.fields.CharField', [], {'max_length': '100'}),\n 'name': ('django.db.models.fields.CharField', [], {'max_length': '100'})\n },\n u'mks.knesset': {\n 'Meta': {'object_name': 'Knesset'},\n 'end_date': ('django.db.models.fields.DateField', [], {'null': 'True', 'blank': 'True'}),\n 'number': ('django.db.models.fields.IntegerField', [], {'primary_key': 'True'}),\n 'start_date': ('django.db.models.fields.DateField', [], {'null': 'True', 'blank': 'True'})\n },\n u'mks.member': {\n 'Meta': {'ordering': \"['name']\", 'object_name': 'Member'},\n 'area_of_residence': ('django.db.models.fields.CharField', [], {'max_length': '100', 'null': 'True', 'blank': 'True'}),\n 'average_monthly_committee_presence': ('django.db.models.fields.FloatField', [], {'null': 'True', 'blank': 'True'}),\n 'average_weekly_presence_hours': ('django.db.models.fields.FloatField', [], {'null': 'True', 'blank': 'True'}),\n 'backlinks_enabled': ('django.db.models.fields.BooleanField', [], {'default': 'True'}),\n 'bills_stats_approved': ('django.db.models.fields.IntegerField', [], {'default': '0'}),\n 'bills_stats_first': ('django.db.models.fields.IntegerField', [], {'default': '0'}),\n 'bills_stats_pre': ('django.db.models.fields.IntegerField', [], {'default': '0'}),\n 'bills_stats_proposed': ('django.db.models.fields.IntegerField', [], {'default': '0'}),\n 'blog': ('django.db.models.fields.related.OneToOneField', [], {'to': u\"orm['planet.Blog']\", 'unique': 'True', 'null': 'True', 'blank': 'True'}),\n 'current_party': ('django.db.models.fields.related.ForeignKey', [], {'blank': 'True', 'related_name': \"'members'\", 'null': 'True', 'to': u\"orm['mks.Party']\"}),\n 'current_position': ('django.db.models.fields.PositiveIntegerField', [], {'default': '999', 'blank': 'True'}),\n 'current_role_descriptions': ('django.db.models.fields.CharField', [], {'max_length': '1024', 'null': 'True', 'blank': 'True'}),\n 'date_of_birth': ('django.db.models.fields.DateField', [], {'null': 'True', 'blank': 'True'}),\n 'date_of_death': ('django.db.models.fields.DateField', [], {'null': 'True', 'blank': 'True'}),\n 'email': ('django.db.models.fields.EmailField', [], {'max_length': '75', 'null': 'True', 'blank': 'True'}),\n 'end_date': ('django.db.models.fields.DateField', [], {'null': 'True', 'blank': 'True'}),\n 'family_status': ('django.db.models.fields.CharField', [], {'max_length': '10', 'null': 'True', 'blank': 'True'}),\n 'fax': ('django.db.models.fields.CharField', [], {'max_length': '20', 'null': 'True', 'blank': 'True'}),\n 'gender': ('django.db.models.fields.CharField', [], {'max_length': '1', 'null': 'True', 'blank': 'True'}),\n u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),\n 'img_url': ('django.db.models.fields.URLField', [], {'max_length': '200', 'blank': 'True'}),\n 'is_current': ('django.db.models.fields.BooleanField', [], {'default': 'True', 'db_index': 'True'}),\n 'name': ('django.db.models.fields.CharField', [], {'max_length': '64'}),\n 'number_of_children': ('django.db.models.fields.IntegerField', [], {'null': 'True', 'blank': 'True'}),\n 'parties': ('django.db.models.fields.related.ManyToManyField', [], {'related_name': \"'all_members'\", 'symmetrical': 'False', 'through': u\"orm['mks.Membership']\", 'to': u\"orm['mks.Party']\"}),\n 'phone': ('django.db.models.fields.CharField', [], {'max_length': '20', 'null': 'True', 'blank': 'True'}),\n 'place_of_birth': ('django.db.models.fields.CharField', [], {'max_length': '100', 'null': 'True', 'blank': 'True'}),\n 'place_of_residence': ('django.db.models.fields.CharField', [], {'max_length': '100', 'null': 'True', 'blank': 'True'}),\n 'place_of_residence_lat': ('django.db.models.fields.CharField', [], {'max_length': '16', 'null': 'True', 'blank': 'True'}),\n 'place_of_residence_lon': ('django.db.models.fields.CharField', [], {'max_length': '16', 'null': 'True', 'blank': 'True'}),\n 'residence_centrality': ('django.db.models.fields.IntegerField', [], {'null': 'True', 'blank': 'True'}),\n 'residence_economy': ('django.db.models.fields.IntegerField', [], {'null': 'True', 'blank': 'True'}),\n 'start_date': ('django.db.models.fields.DateField', [], {'null': 'True', 'blank': 'True'}),\n 'user': ('django.db.models.fields.related.ForeignKey', [], {'to': u\"orm['auth.User']\", 'null': 'True', 'blank': 'True'}),\n 'website': ('django.db.models.fields.URLField', [], {'max_length': '200', 'null': 'True', 'blank': 'True'}),\n 'year_of_aliyah': ('django.db.models.fields.IntegerField', [], {'null': 'True', 'blank': 'True'})\n },\n u'mks.membership': {\n 'Meta': {'object_name': 'Membership'},\n 'end_date': ('django.db.models.fields.DateField', [], {'null': 'True', 'blank': 'True'}),\n u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),\n 'member': ('django.db.models.fields.related.ForeignKey', [], {'to': u\"orm['mks.Member']\"}),\n 'party': ('django.db.models.fields.related.ForeignKey', [], {'to': u\"orm['mks.Party']\"}),\n 'position': ('django.db.models.fields.PositiveIntegerField', [], {'default': '999', 'blank': 'True'}),\n 'start_date': ('django.db.models.fields.DateField', [], {'null': 'True', 'blank': 'True'})\n },\n u'mks.party': {\n 'Meta': {'ordering': \"('-number_of_seats',)\", 'unique_together': \"(('knesset', 'name'),)\", 'object_name': 'Party'},\n 'end_date': ('django.db.models.fields.DateField', [], {'null': 'True', 'blank': 'True'}),\n u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),\n 'is_coalition': ('django.db.models.fields.BooleanField', [], {'default': 'False'}),\n 'knesset': ('django.db.models.fields.related.ForeignKey', [], {'blank': 'True', 'related_name': \"'parties'\", 'null': 'True', 'to': u\"orm['mks.Knesset']\"}),\n 'logo': ('django.db.models.fields.files.ImageField', [], {'max_length': '100', 'null': 'True', 'blank': 'True'}),\n 'name': ('django.db.models.fields.CharField', [], {'max_length': '64'}),\n 'number_of_members': ('django.db.models.fields.IntegerField', [], {'null': 'True', 'blank': 'True'}),\n 'number_of_seats': ('django.db.models.fields.IntegerField', [], {'null': 'True', 'blank': 'True'}),\n 'split_from': ('django.db.models.fields.related.ForeignKey', [], {'to': u\"orm['mks.Party']\", 'null': 'True', 'blank': 'True'}),\n 'start_date': ('django.db.models.fields.DateField', [], {'null': 'True', 'blank': 'True'})\n },\n u'persons.person': {\n 'Meta': {'ordering': \"('name',)\", 'object_name': 'Person'},\n 'area_of_residence': ('django.db.models.fields.CharField', [], {'max_length': '100', 'null': 'True', 'blank': 'True'}),\n 'calendar_sync_token': ('django.db.models.fields.CharField', [], {'max_length': '1024', 'null': 'True', 'blank': 'True'}),\n 'calendar_url': ('django.db.models.fields.CharField', [], {'max_length': '1024', 'null': 'True', 'blank': 'True'}),\n 'date_of_birth': ('django.db.models.fields.DateField', [], {'null': 'True', 'blank': 'True'}),\n 'date_of_death': ('django.db.models.fields.DateField', [], {'null': 'True', 'blank': 'True'}),\n 'email': ('django.db.models.fields.EmailField', [], {'max_length': '75', 'null': 'True', 'blank': 'True'}),\n 'family_status': ('django.db.models.fields.CharField', [], {'max_length': '10', 'null': 'True', 'blank': 'True'}),\n 'fax': ('django.db.models.fields.CharField', [], {'max_length': '20', 'null': 'True', 'blank': 'True'}),\n 'gender': ('django.db.models.fields.CharField', [], {'max_length': '1', 'null': 'True', 'blank': 'True'}),\n u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),\n 'img_url': ('django.db.models.fields.URLField', [], {'max_length': '200', 'blank': 'True'}),\n 'mk': ('django.db.models.fields.related.ForeignKey', [], {'blank': 'True', 'related_name': \"'person'\", 'null': 'True', 'to': u\"orm['mks.Member']\"}),\n 'name': ('django.db.models.fields.CharField', [], {'max_length': '64'}),\n 'number_of_children': ('django.db.models.fields.IntegerField', [], {'null': 'True', 'blank': 'True'}),\n 'phone': ('django.db.models.fields.CharField', [], {'max_length': '20', 'null': 'True', 'blank': 'True'}),\n 'place_of_birth': ('django.db.models.fields.CharField', [], {'max_length': '100', 'null': 'True', 'blank': 'True'}),\n 'place_of_residence': ('django.db.models.fields.CharField', [], {'max_length': '100', 'null': 'True', 'blank': 'True'}),\n 'place_of_residence_lat': ('django.db.models.fields.CharField', [], {'max_length': '16', 'null': 'True', 'blank': 'True'}),\n 'place_of_residence_lon': ('django.db.models.fields.CharField', [], {'max_length': '16', 'null': 'True', 'blank': 'True'}),\n 'residence_centrality': ('django.db.models.fields.IntegerField', [], {'null': 'True', 'blank': 'True'}),\n 'residence_economy': ('django.db.models.fields.IntegerField', [], {'null': 'True', 'blank': 'True'}),\n 'titles': ('django.db.models.fields.related.ManyToManyField', [], {'blank': 'True', 'related_name': \"'persons'\", 'null': 'True', 'symmetrical': 'False', 'to': u\"orm['persons.Title']\"}),\n 'user': ('django.db.models.fields.related.ForeignKey', [], {'to': u\"orm['auth.User']\", 'null': 'True', 'blank': 'True'}),\n 'year_of_aliyah': ('django.db.models.fields.IntegerField', [], {'null': 'True', 'blank': 'True'})\n },\n u'persons.personalias': {\n 'Meta': {'object_name': 'PersonAlias'},\n u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),\n 'name': ('django.db.models.fields.CharField', [], {'max_length': '64'}),\n 'person': ('django.db.models.fields.related.ForeignKey', [], {'related_name': \"'aliases'\", 'to': u\"orm['persons.Person']\"})\n },\n u'persons.processedprotocolpart': {\n 'Meta': {'object_name': 'ProcessedProtocolPart'},\n u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),\n 'protocol_part_id': ('django.db.models.fields.IntegerField', [], {})\n },\n u'persons.role': {\n 'Meta': {'object_name': 'Role'},\n 'end_date': ('django.db.models.fields.DateField', [], {'null': 'True', 'blank': 'True'}),\n u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),\n 'org': ('django.db.models.fields.TextField', [], {'null': 'True', 'blank': 'True'}),\n 'person': ('django.db.models.fields.related.ForeignKey', [], {'related_name': \"'roles'\", 'to': u\"orm['persons.Person']\"}),\n 'start_date': ('django.db.models.fields.DateField', [], {'null': 'True'}),\n 'text': ('django.db.models.fields.CharField', [], {'max_length': '1024', 'null': 'True', 'blank': 'True'})\n },\n u'persons.title': {\n 'Meta': {'object_name': 'Title'},\n u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),\n 'name': ('django.db.models.fields.CharField', [], {'max_length': '64'})\n },\n u'planet.blog': {\n 'Meta': {'ordering': \"('title', 'url')\", 'object_name': 'Blog'},\n 'date_created': ('django.db.models.fields.DateTimeField', [], {'auto_now_add': 'True', 'blank': 'True'}),\n u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),\n 'title': ('django.db.models.fields.CharField', [], {'db_index': 'True', 'max_length': '255', 'blank': 'True'}),\n 'url': ('django.db.models.fields.URLField', [], {'unique': 'True', 'max_length': '1024', 'db_index': 'True'})\n }\n }\n\n complete_apps = ['persons']", "metadata": "root.Migration", "header": "['module', '___EOS___']", "index": 7 }, { "content": " def forwards(self, orm):\n # Adding field 'Person.user'\n db.add_column(u'persons_person', 'user',\n self.gf('django.db.models.fields.related.ForeignKey')(to=orm['auth.User'], null=True, blank=True),\n keep_default=False)", "metadata": "root.Migration.forwards", "header": "['class', 'Migration', '(', 'SchemaMigration', ')', ':', '___EOS___']", "index": 9 }, { "content": " def backwards(self, orm):\n # Deleting field 'Person.user'\n db.delete_column(u'persons_person', 'user_id')", "metadata": "root.Migration.backwards", "header": "['class', 'Migration', '(', 'SchemaMigration', ')', ':', '___EOS___']", "index": 16 } ]

[ { "span": "from south.utils import datetime_utils as datetime", "start_line": 1, "start_column": 0, "end_line": 1, "end_column": 50 }, { "span": "from django.db import models", "start_line": 4, "start_column": 0, "end_line": 4, "end_column": 28 } ]

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[ { "content": " def test_bad_javascript(test):\n test_utils.find_JSON_format_data_structure(\n string = \"x = ksdkjnsdf;ajndflkj\",\n name = \"x\",\n found = fail(\"shouldn't be found\"),\n not_found = fail(\"should bork\"),\n cannot_parse_JSON = ok\n )", "metadata": "root.Test_find_JSON_format_data_structure.test_bad_javascript", "header": "['class', 'Test_find_JSON_format_data_structure', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 16 }, { "content": " def test_missing_data_structure(test):\n test_utils.find_JSON_format_data_structure(\n string = \"ksdkjnsdf;ajndflkj\",\n name = \"x\",\n found = fail(\"shouldn't be found\"),\n not_found = ok,\n cannot_parse_JSON = fail(\"shoudn't bork\")\n )", "metadata": "root.Test_find_JSON_format_data_structure.test_missing_data_structure", "header": "['class', 'Test_find_JSON_format_data_structure', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 25 }, { "content": " def test_found_data_structure(test):\n test_utils.find_JSON_format_data_structure(\n string = \"ksdkjnsdf;ajndflkj; x = {\\\"a\\\": 1}\\n ksjndfkjsd\",\n name = \"x\",\n found = ok,\n not_found = fail(\"should be found\"),\n cannot_parse_JSON = fail(\"shoudn't bork\")\n )", "metadata": "root.Test_find_JSON_format_data_structure.test_found_data_structure", "header": "['class', 'Test_find_JSON_format_data_structure', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 34 }, { "content": " def test_complex_name_data_structure(test):\n test_utils.find_JSON_format_data_structure(\n string = \"ksdkjnsdf;ajndflkj; x.y.z = {\\\"a\\\": 1}\\n sdkfjnk\",\n name = \"x.y.z\",\n found = ok,\n not_found = fail(\"should be found\"),\n cannot_parse_JSON = fail(\"shoudn't bork\")\n )", "metadata": "root.Test_find_JSON_format_data_structure.test_complex_name_data_structure", "header": "['class', 'Test_find_JSON_format_data_structure', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 43 } ]

[ { "span": "def test_bad_javascript(test):", "start_line": 16, "start_column": 4, "end_line": 16, "end_column": 34 }, { "span": "def test_missing_data_structure(test):", "start_line": 25, "start_column": 4, "end_line": 25, "end_column": 42 }, { "span": "def test_found_data_structure(test):", "start_line": 34, "start_column": 4, "end_line": 34, "end_column": 40 }, { "span": "def test_complex_name_data_structure(test):", "start_line": 43, "start_column": 4, "end_line": 43, "end_column": 47 } ]

[]

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[ { "content": "def make_rows2(headers):\n\n\n\tvarblock=[]\n\t# makes a list of rows from a given input header\n\tfor row in headers:\n\n\t\tmaxchared=15\n\n\t\trow1=row\n\t\trow2=row\n\t\tif row==headers[0]:\n\t\t\tnewrow=\"\"\" var popupText = \"<table><tr><th>%s: </th><td>\" + feature.properties['%s']+\"</td></tr>\"; \"\"\" % (row1,row2)\n\t\telse:\n\t\t\tnewrow=\"\"\" var popupText = popupText+ \"<tr><th>%s: </th><td>\" + feature.properties['%s']+\"</td></tr>\"; \"\"\" % (row1,row2)\n\t\tvarblock.append(newrow)\n\t\tif row==headers[-1]:\n\t\t\tnewrow=\"\"\" var popupText = popupText+ \"<tr><th>%s: </th><td>\" + feature.properties['%s']+</td></tr></table>\"; \"\"\" % (row1,row2)\n\treturn varblock\t", "metadata": "root.make_rows2", "header": "['module', '___EOS___']", "index": 16 }, { "content": "def making_blockstr2(varblock):\n\tstart=\"\"\"\tfunction addDataToMap(data, map) {\n \tvar dataLayer = L.geoJson(data, {\n \tonEachFeature: function(feature, layer) {\"\"\"\n\n\tend=\"\"\"\n\t \tlayer.bindPopup(popupText, {autoPan:false, maxHeight:500, maxWidth:350} ); }\n \t});\n \tdataLayer.addTo(map);\\n}\"\"\"\n \ttotal=''\n \tfor row in varblock:\n \t\ttotal+=row\n \treturn start+total+end", "metadata": "root.making_blockstr2", "header": "['module', '___EOS___']", "index": 107 }, { "content": "def make_bindings(headers):\n\tvarblock=make_rows2(headers)\n\tblock=making_blockstr2(varblock)\t\n\treturn block", "metadata": "root.make_bindings", "header": "['module', '___EOS___']", "index": 122 }, { "content": "def making_blockstr2(varblock,count,colorline,element,time):\n\tstart=\"\"\"function addDataToMap%s(data, map) {\n var dataLayer = L.geoJson(data, {\n onEachFeature: function(feature, layer) {\"\"\" % count\n\n\tend=\"\"\"\n\t layer.bindPopup(popupText, {autoPan:false, maxHeight:500, maxWidth:350} ); }\n });\n \tdataLayer.addTo(map);\\n\\t\\tsetTimeout(function() {\\n\\t\\t\\t\\tdataLayer.clearLayers();\\n\\t\\t},%s);\\n\\t}\\n}\\nsetInterval(add%s,%s)\"\"\" % (time,count,time)\n \ttotal=''\n \tfor row in varblock:\n \t\ttotal+=row\n \tif element=='Point':\n \t\treturn start+total+colorline+end\n \telse:\n \t\treturn start+total+'\\n'+colorline+end", "metadata": "root.making_blockstr2", "header": "['module', '___EOS___']", "index": 128 }, { "content": "def make_bindings2(headers,count,colorline,element,time):\n\tvarblock=make_rows2(headers)\n\tblock=making_blockstr2(varblock,count,colorline,element,time)\t\n\treturn block", "metadata": "root.make_bindings2", "header": "['module', '___EOS___']", "index": 146 }, { "content": "def load(lines,filename):\n\n\twith open(filename,'w') as f:\n\t\tf.writelines(lines)\n\n\tf.close()\t\n\tos.system('open -a Safari '+filename)", "metadata": "root.load", "header": "['module', '___EOS___']", "index": 223 }, { "content": "def make_bindings_type2(filenames,color_input,colorkey):\n\tstring=''\n\tblocky=\"\"\"\\nfunction addDataToMap(data, map) {\n var dataLayer = L.geoJson(data);\n dataLayer.addTo(map);\n}\\n\"\"\"\n\tcount=0\n\tfor row in filenames:\n\t\tcount+=1\n\t\tfilename=row\n\t\twith open(row) as data_file: \n \t\t\tdata = json.load(data_file)\n \t\t#pprint(data)\n \t\tdata=data['features']\n \t\tdata=data[0]\n \t\tfeaturetype=data['geometry']\n \t\tfeaturetype=featuretype['type']\n\t\tdata=data['properties']\n\n \t\t\n \t\t#if a point and no entry for color_input\n \t\tif featuretype=='Point' and colorkey=='':\n \t\t\tcolorline=get_colorline_marker(color_input)\n \t\telif not colorkey=='' and featuretype=='Point':\n \t\t\tcolorline=get_colorline_marker(data[str(colorkey)])\n \t\telif not colorkey=='':\n \t\t\tcolorline=get_colorline_marker2(data[str(colorkey)])\n \t\telif colorkey=='':\n \t\t\tcolorline=get_colorline_marker2(str(color_input))\n\n \t\t\n \t\theaders=[]\n \t\tfor row in data:\n \t\t\theaders.append(str(row))\n \t\tblocky=\tblocky=\"\"\"\\nfunction addDataToMap%s(data, map) {\n var dataLayer = L.geoJson(data);\n dataLayer.addTo(map);\n}\\n\"\"\" % count\n\t\tstart='function add() {'\n\t\tloc=\"\"\"\\n$.getJSON('http://localhost:8000/%s',function(data) { addDataToMap%s(data,map); });\"\"\" % (filename,count)\n\t\tif featuretype=='Point':\n\t\t\tstring+=blocky+loc+make_bindings2(headers,count,colorline,featuretype)+'\\n'\n\t\telse:\n\t\t\tstring+=blocky+loc+make_bindings2(headers,count,colorline,featuretype)+'\\n'\n\treturn string", "metadata": "root.make_bindings_type2", "header": "['module', '___EOS___']", "index": 299 }, { "content": "def get_colorline_marker(color_input):\n\tcolorline=\"\"\"\t\t\t\tlayer.setIcon(L.mapbox.marker.icon({'marker-color': '%s','marker-size': 'small'}))\"\"\" % get_colors(color_input)\n\treturn colorline", "metadata": "root.get_colorline_marker", "header": "['module', '___EOS___']", "index": 441 }, { "content": "def get_colorline_marker2(color_input):\n\tcolorline=\"\"\"\t \t\tlayer.setStyle({color: '%s', weight: 5, opacity: 1});\"\"\" % get_colors2(color_input)\n\treturn colorline", "metadata": "root.get_colorline_marker2", "header": "['module', '___EOS___']", "index": 446 } ]

[ { "span": "making_blockstr2(varblock)\t", "start_line": 124, "start_column": 7, "end_line": 124, "end_column": 33 }, { "span": "make_bindings2(headers,count,colorline,featuretype)+", "start_line": 340, "start_column": 22, "end_line": 340, "end_column": 73 }, { "span": "make_bindings2(headers,count,colorline,featuretype)+", "start_line": 342, "start_column": 22, "end_line": 342, "end_column": 73 } ]

[ { "span": "def making_blockstr2(varblock,count,colorline,element,time):", "start_line": 128, "start_column": 0, "end_line": 128, "end_column": 60 }, { "span": "def make_bindings2(headers,count,colorline,element,time):", "start_line": 146, "start_column": 0, "end_line": 146, "end_column": 57 } ]

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[ { "content": " def test_correct_login(self):\n # Ensure login behaves correctly with correct credentials.\n with self.client:\n response = self.client.post(\n '/login',\n data=dict(email=\"test@user.com\", password=\"just_a_test_user\"),\n follow_redirects=True\n )\n self.assertTrue(response.status_code == 200)\n self.assertTrue(current_user.email == \"test@user.com\")\n self.assertTrue(current_user.is_active())\n self.assertTrue(current_user.is_authenticated())\n self.assertTemplateUsed('main/index.html')", "metadata": "root.TestUserViews.test_correct_login", "header": "['class', 'TestUserViews', '(', 'BaseTestCase', ')', ':', '___EOS___']", "index": 66 }, { "content": " def test_incorrect_login(self):\n # Ensure login behaves correctly with incorrect credentials.\n with self.client:\n response = self.client.post(\n '/login',\n data=dict(email=\"not@correct.com\", password=\"incorrect\"),\n follow_redirects=True\n )\n self.assertTrue(response.status_code == 200)\n self.assertIn(b'Invalid email and/or password.', response.data)\n self.assertFalse(current_user.is_active())\n self.assertFalse(current_user.is_authenticated())\n self.assertTemplateUsed('user/login.html')", "metadata": "root.TestUserViews.test_incorrect_login", "header": "['class', 'TestUserViews', '(', 'BaseTestCase', ')', ':', '___EOS___']", "index": 80 } ]

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[ { "content": " def test_basic(self):\n c = ServiceCalendar()\n assert( c.head == None )\n \n assert( c.period_of_or_before(0) == None )\n assert( c.period_of_or_after(0) == None )", "metadata": "root.TestServiceCalendar.test_basic", "header": "['class', 'TestServiceCalendar', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 5 }, { "content": " def test_get_service_id_int(self):\n c = ServiceCalendar()\n assert c.get_service_id_int( \"A\" ) == 0\n assert c.get_service_id_int( \"A\" ) == 0\n assert c.get_service_id_int( \"B\" ) == 1\n try:\n c.get_service_id_int( 1 )\n assert False\n except TypeError:\n pass\n \n c.add_period(0,1000,[\"B\"])\n \n import pickle\n from cStringIO import StringIO\n src = StringIO()\n p = pickle.Pickler(src) \n \n p.dump(c)\n datastream = src.getvalue()\n dst = StringIO(datastream)\n\n upc = pickle.Unpickler(dst).load()\n print c.expound(\"America/Los_Angeles\")\n print upc.expound(\"America/Los_Angeles\")\n assert c.expound(\"America/Los_Angeles\") == upc.expound(\"America/Los_Angeles\"), upc\n for _c in [c, upc]:\n assert _c.get_service_id_string( -1 ) == None\n assert _c.get_service_id_string( 0 ) == \"A\", _c.to_xml()\n assert _c.get_service_id_string( 1 ) == \"B\"\n assert _c.get_service_id_string( 2 ) == None\n try:\n _c.get_service_id_string( \"A\" )\n assert False\n except TypeError:\n pass", "metadata": "root.TestServiceCalendar.test_get_service_id_int", "header": "['class', 'TestServiceCalendar', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 12 }, { "content": " def test_single(self):\n c = ServiceCalendar()\n c.add_period( 0,1000,[\"A\",\"B\",\"C\"] )\n \n assert c.head\n assert c.head.begin_time == 0\n assert c.head.end_time == 1000\n assert c.head.service_ids == [0,1,2]\n \n assert c.period_of_or_before(-1) == None\n assert c.period_of_or_before(0).begin_time==0\n assert c.period_of_or_before(500).begin_time==0\n assert c.period_of_or_before(1000).begin_time==0\n assert c.period_of_or_before(50000).begin_time==0\n \n assert c.period_of_or_after(-1).begin_time==0\n assert c.period_of_or_after(0).begin_time==0\n assert c.period_of_or_after(500).begin_time==0\n assert c.period_of_or_after(1000)==None\n assert c.period_of_or_after(1001) == None", "metadata": "root.TestServiceCalendar.test_single", "header": "['class', 'TestServiceCalendar', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 49 }, { "content": " def test_overlap_a_little(self):\n \n c = ServiceCalendar()\n c.add_period( 0, 1000, [\"A\"] )\n c.add_period( 1000, 2000, [\"B\"] )\n \n assert c.head.begin_time == 0\n assert c.head.end_time == 1000\n \n assert c.period_of_or_before(-1) == None\n assert c.period_of_or_before(0).begin_time==0\n assert c.period_of_or_before(999).begin_time==0\n assert c.period_of_or_before(1000).begin_time==1000\n \n c = ServiceCalendar()\n c.add_period(1000,2000,[\"B\"])\n c.add_period(0,1000,[\"A\"])\n \n assert c.head.begin_time == 0\n assert c.head.end_time == 1000\n \n assert c.period_of_or_before(-1) == None\n assert c.period_of_or_before(0).begin_time==0\n assert c.period_of_or_before(999).begin_time==0\n assert c.period_of_or_before(1000).begin_time==1000\n \n #--==--\n \n sc = ServiceCalendar()\n sc.add_period(0, 1*3600*24, ['A'])\n sc.add_period(1*3600*24,2*3600*24, ['B'])\n \n assert sc.period_of_or_after( 1*3600*24 ).begin_time == 86400", "metadata": "root.TestServiceCalendar.test_overlap_a_little", "header": "['class', 'TestServiceCalendar', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 70 }, { "content": " def test_multiple(self):\n c = ServiceCalendar()\n # out of order\n c.add_period( 1001,2000,[\"C\",\"D\",\"E\"] )\n c.add_period( 0,1000,[\"A\",\"B\",\"C\"] )\n \n assert c.head\n assert c.head.begin_time == 0\n assert c.head.end_time == 1000\n assert c.head.service_ids == [3,4,0]\n \n assert c.head.previous == None\n assert c.head.next.begin_time == 1001\n \n assert c.period_of_or_before(-1) == None\n assert c.period_of_or_before(0).begin_time == 0\n assert c.period_of_or_before(1000).begin_time == 0\n assert c.period_of_or_before(1001).begin_time == 1001\n assert c.period_of_or_before(2000).begin_time == 1001\n assert c.period_of_or_before(2001).begin_time == 1001\n \n assert c.period_of_or_after(-1).begin_time == 0\n assert c.period_of_or_after(0).begin_time == 0\n assert c.period_of_or_after(1000).begin_time == 1001\n assert c.period_of_or_after(1001).begin_time == 1001\n assert c.period_of_or_after(2000) == None\n assert c.period_of_or_after(2001) == None", "metadata": "root.TestServiceCalendar.test_multiple", "header": "['class', 'TestServiceCalendar', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 105 } ]

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[ { "content": " def upload ( self, channel, sl, imarray ):\n \"\"\"Transfer the array to the database\"\"\"\n\n # and the limits of iteration\n xlimit = (self._ximgsz-1) / self.xcubedim + 1\n ylimit = (self._yimgsz-1) / self.ycubedim + 1\n\n for y in range(ylimit):\n for x in range(xlimit):\n\n # each batch is the last slice in a cube\n z = sl/self.zcubedim\n\n # zindex\n key = zindex.XYZMorton ( [x,y,z] )\n\n # Create a channel cube\n cube = imagecube.ImageCube8 ( [self.xcubedim, self.ycubedim, self.zcubedim] )\n\n # data for this key\n cube.data = imarray[:,y*self.ycubedim:(y+1)*self.ycubedim,x*self.xcubedim:(x+1)*self.xcubedim]\n # compress the cube\n npz = cube.toNPZ ()\n\n # add the cube to the database\n sql = \"INSERT INTO \" + self.proj.getTable(self.resolution) + \"(channel, zindex, cube) VALUES (%s, %s, %s)\"\n try:\n print sql\n #self.cursor.execute ( sql, (channel, key, npz))\n except MySQLdb.Error, e:\n print (\"Error updating data cube: %d: %s. sql=%s\" % (e.args[0], e.args[1], sql))\n raise \n\n self.db.conn.commit()", "metadata": "root.MitraIngest.upload", "header": "['class', 'MitraIngest', ':', '___EOS___']", "index": 107 } ]

[ { "span": "key ", "start_line": 121, "start_column": 8, "end_line": 121, "end_column": 11 }, { "span": "npz ", "start_line": 129, "start_column": 8, "end_line": 129, "end_column": 11 } ]

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[ { "content": "#\n# Autogenerated by Thrift Compiler (0.9.3)\n#\n# DO NOT EDIT UNLESS YOU ARE SURE THAT YOU KNOW WHAT YOU ARE DOING\n#\n# options string: py:new_style\n#\n\nfrom thrift.Thrift import TType, TMessageType, TException, TApplicationException\nimport sentry_common_service.ttypes\nimport sentry_policy_service.ttypes\n\n\nfrom thrift.transport import TTransport\nfrom thrift.protocol import TBinaryProtocol, TProtocol\ntry:\n from thrift.protocol import fastbinary\nexcept:\n fastbinary = None\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 } ]

[ { "span": "except:", "start_line": 17, "start_column": 0, "end_line": 17, "end_column": 7 } ]

[]

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[ { "content": " def test_empty(self):\n class Foo(Entity):\n pass\n\n class Bar(Entity):\n pass\n\n is_fooable = associable(Foo)\n is_barable = associable(Bar)\n\n class Quux(Entity):\n is_fooable()\n is_barable()\n\n setup_all(True)", "metadata": "root.TestOrders.test_empty", "header": "['class', 'TestOrders', '(', 'object', ')', ':', '___EOS___']", "index": 17 }, { "content": " def test_with_forward_ref(self):\n class Checkout(Entity):\n by = ManyToOne('Villian', ondelete='cascade')\n stamp = Field(DateTime)\n\n can_checkout = associable(Checkout, 'checked_out')\n\n class Article(Entity):\n title = Field(String(200))\n content = Field(Text)\n can_checkout('checked_out_by', uselist=False)\n using_options(tablename='article')\n\n class Villian(Entity):\n name = Field(String(50))\n using_options(tablename='villian')\n\n setup_all(True)\n\n art = Article(title='Hope Soars')\n\n session.commit()\n session.expunge_all()", "metadata": "root.TestOrders.test_with_forward_ref", "header": "['class', 'TestOrders', '(', 'object', ')', ':', '___EOS___']", "index": 89 } ]

[ { "span": "Quux(", "start_line": 27, "start_column": 14, "end_line": 27, "end_column": 18 }, { "span": "Villian(", "start_line": 102, "start_column": 14, "end_line": 102, "end_column": 21 }, { "span": "art ", "start_line": 108, "start_column": 8, "end_line": 108, "end_column": 11 } ]

[]

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[ { "content": "import unittest\n\nfrom rx import Observable\nfrom rx.abstractobserver import AbstractObserver\nfrom rx.linq.connectableobservable import ConnectableObservable\nfrom rx.subjects import Subject\nfrom rx.testing import TestScheduler, ReactiveTest, is_prime, MockDisposable\nfrom rx.disposables import Disposable, SerialDisposable\n\non_next = ReactiveTest.on_next\non_completed = ReactiveTest.on_completed\non_error = ReactiveTest.on_error\nsubscribe = ReactiveTest.subscribe\nsubscribed = ReactiveTest.subscribed\ndisposed = ReactiveTest.disposed\ncreated = ReactiveTest.created\n\n\n# Helper function for raising exceptions within lambdas\n\n\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "class RxException(Exception):\n pass", "metadata": "root.RxException", "header": "['module', '___EOS___']", "index": 17 }, { "content": "def _raise(ex):\n raise RxException(ex)", "metadata": "root._raise", "header": "['module', '___EOS___']", "index": 21 }, { "content": "class MySubject(Observable, AbstractObserver):\n\n\n\n\n", "metadata": "root.MySubject", "header": "['module', '___EOS___']", "index": 24 }, { "content": " def __init__(self):\n\n def subscribe(observer):\n self.subscribe_count += 1\n self.observer = observer\n\n class Duck:\n def __init__(self, this):\n self.this = this\n def dispose(self):\n self.this.disposed = True\n return Duck(self)\n\n super(MySubject, self).__init__(subscribe)\n\n self.dispose_on_map = {}\n self.subscribe_count = 0\n self.disposed = False", "metadata": "root.MySubject.__init__", "header": "['class', 'MySubject', '(', 'Observable', ',', 'AbstractObserver', ')', ':', '___EOS___']", "index": 26 }, { "content": " def dispose_on(self, value, disposable):\n self.dispose_on_map[value] = disposable", "metadata": "root.MySubject.dispose_on", "header": "['class', 'MySubject', '(', 'Observable', ',', 'AbstractObserver', ')', ':', '___EOS___']", "index": 45 }, { "content": " def on_next(self, value):\n self.observer.on_next(value)\n if value in self.dispose_on_map:\n self.dispose_on_map[value].dispose()", "metadata": "root.MySubject.on_next", "header": "['class', 'MySubject', '(', 'Observable', ',', 'AbstractObserver', ')', ':', '___EOS___']", "index": 48 }, { "content": " def on_error(self, exception):\n self.observer.on_error(exception)", "metadata": "root.MySubject.on_error", "header": "['class', 'MySubject', '(', 'Observable', ',', 'AbstractObserver', ')', ':', '___EOS___']", "index": 53 }, { "content": " def on_completed(self):\n self.observer.on_completed()", "metadata": "root.MySubject.on_completed", "header": "['class', 'MySubject', '(', 'Observable', ',', 'AbstractObserver', ')', ':', '___EOS___']", "index": 56 }, { "content": "class TestPublish(unittest.TestCase):\n\n\n\n\n\n\n\n\n\n\n", "metadata": "root.TestPublish", "header": "['module', '___EOS___']", "index": 59 }, { "content": " def test_publish_cold_zip(self):\n scheduler = TestScheduler()\n xs = scheduler.create_hot_observable(\n on_next(40, 0),\n on_next(90, 1),\n on_next(150, 2),\n on_next(210, 3),\n on_next(240, 4),\n on_next(270, 5),\n on_next(330, 6),\n on_next(340, 7),\n on_completed(390)\n )\n\n def create():\n def selector(ys):\n def result_selector(a, b):\n return a + b\n return ys.zip(ys, result_selector)\n\n return xs.publish(selector=selector)\n results = scheduler.start(create)\n\n results.messages.assert_equal(on_next(210, 6),\n on_next(240, 8),\n on_next(270, 10),\n on_next(330, 12),\n on_next(340, 14), on_completed(390))\n xs.subscriptions.assert_equal(subscribe(200, 390))", "metadata": "root.TestPublish.test_publish_cold_zip", "header": "['class', 'TestPublish', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 61 }, { "content": " def test_ref_count_connects_on_first(self):\n scheduler = TestScheduler()\n xs = scheduler.create_hot_observable(\n on_next(210, 1),\n on_next(220, 2),\n on_next(230, 3),\n on_next(240, 4),\n on_completed(250)\n )\n subject = MySubject()\n conn = ConnectableObservable(xs, subject)\n\n def create():\n return conn.ref_count()\n\n res = scheduler.start(create)\n\n res.messages.assert_equal(\n on_next(210, 1),\n on_next(220, 2),\n on_next(230, 3),\n on_next(240, 4),\n on_completed(250)\n )\n assert(subject.disposed)", "metadata": "root.TestPublish.test_ref_count_connects_on_first", "header": "['class', 'TestPublish', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 91 }, { "content": " def test_ref_count_notconnected(self):\n disconnected = [False]\n count = [0]\n\n def factory():\n count[0] += 1\n\n def create(obs):\n def func():\n disconnected[0] = True\n return func\n\n return Observable.create(create)\n\n xs = Observable.defer(factory)\n\n subject = MySubject()\n conn = ConnectableObservable(xs, subject)\n refd = conn.ref_count()\n dis1 = refd.subscribe()\n self.assertEqual(1, count[0])\n self.assertEqual(1, subject.subscribe_count)\n assert(not disconnected[0])\n dis2 = refd.subscribe()\n self.assertEqual(1, count[0])\n self.assertEqual(2, subject.subscribe_count)\n assert(not disconnected[0])\n dis1.dispose()\n assert(not disconnected[0])\n dis2.dispose()\n assert(disconnected[0])\n disconnected[0] = False\n dis3 = refd.subscribe()\n self.assertEqual(2, count[0])\n self.assertEqual(3, subject.subscribe_count)\n assert(not disconnected[0])\n dis3.dispose()\n assert(disconnected[0])", "metadata": "root.TestPublish.test_ref_count_notconnected", "header": "['class', 'TestPublish', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 117 }, { "content": " def test_publish_basic(self):\n scheduler = TestScheduler()\n xs = scheduler.create_hot_observable(\n on_next(110, 7),\n on_next(220, 3),\n on_next(280, 4),\n on_next(290, 1),\n on_next(340, 8),\n on_next(360, 5),\n on_next(370, 6),\n on_next(390, 7),\n on_next(410, 13),\n on_next(430, 2),\n on_next(450, 9),\n on_next(520, 11),\n on_next(560, 20),\n on_completed(600)\n )\n ys = [None]\n subscription = [None]\n connection = [None]\n results = scheduler.create_observer()\n\n def action0(scheduler, state):\n ys[0] = xs.publish()\n scheduler.schedule_absolute(created, action0)\n\n def action1(scheduler, state):\n subscription[0] = ys[0].subscribe(results)\n scheduler.schedule_absolute(subscribed, action1)\n\n def action2(scheduler, state):\n subscription[0].dispose()\n scheduler.schedule_absolute(disposed, action2)\n\n def action3(scheduler, state):\n connection[0] = ys[0].connect()\n scheduler.schedule_absolute(300, action3)\n\n def action4(scheduler, state):\n connection[0].dispose()\n scheduler.schedule_absolute(400, action4)\n\n def action5(scheduler, state):\n connection[0] = ys[0].connect()\n scheduler.schedule_absolute(500, action5)\n\n def action6(scheduler, state):\n connection[0].dispose()\n scheduler.schedule_absolute(550, action6)\n\n def action7(scheduler, state):\n connection[0] = ys[0].connect()\n scheduler.schedule_absolute(650, action7)\n\n def action8(scheduler, state):\n connection[0].dispose()\n scheduler.schedule_absolute(800, action8)\n\n scheduler.start()\n results.messages.assert_equal(\n on_next(340, 8),\n on_next(360, 5),\n on_next(370, 6),\n on_next(390, 7),\n on_next(520, 11)\n )\n xs.subscriptions.assert_equal(subscribe(300, 400), subscribe(500, 550), subscribe(650, 800))", "metadata": "root.TestPublish.test_publish_basic", "header": "['class', 'TestPublish', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 156 }, { "content": " def test_publish_error(self):\n ex = 'ex'\n scheduler = TestScheduler()\n xs = scheduler.create_hot_observable(\n on_next(110, 7),\n on_next(220, 3),\n on_next(280, 4),\n on_next(290, 1),\n on_next(340, 8),\n on_next(360, 5),\n on_next(370, 6),\n on_next(390, 7),\n on_next(410, 13),\n on_next(430, 2),\n on_next(450, 9),\n on_next(520, 11),\n on_next(560, 20),\n on_error(600, ex))\n\n ys = [None]\n subscription = [None]\n connection = [None]\n results = scheduler.create_observer()\n\n def action0(scheduler, state):\n ys[0] = xs.publish()\n scheduler.schedule_absolute(created, action0)\n\n def action1(scheduler, state):\n subscription[0] = ys[0].subscribe(results)\n scheduler.schedule_absolute(subscribed, action1)\n\n def action2(scheduler, state):\n subscription[0].dispose()\n scheduler.schedule_absolute(disposed, action2)\n\n def action3(scheduler, state):\n connection[0] = ys[0].connect()\n scheduler.schedule_absolute(300, action3)\n\n def action4(scheduler, state):\n connection[0].dispose()\n scheduler.schedule_absolute(400, action4)\n\n def action5(scheduler, state):\n connection[0] = ys[0].connect()\n scheduler.schedule_absolute(500, action5)\n\n def action6(scheduler, state):\n connection[0].dispose()\n scheduler.schedule_absolute(800, action6)\n\n scheduler.start()\n results.messages.assert_equal(\n on_next(340, 8),\n on_next(360, 5),\n on_next(370, 6),\n on_next(390, 7),\n on_next(520, 11),\n on_next(560, 20),\n on_error(600, ex))\n xs.subscriptions.assert_equal(subscribe(300, 400), subscribe(500, 600))", "metadata": "root.TestPublish.test_publish_error", "header": "['class', 'TestPublish', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 225 }, { "content": " def test_publish_complete(self):\n connection = [None]\n subscription = [None]\n ys = [None]\n\n scheduler = TestScheduler()\n xs = scheduler.create_hot_observable(\n on_next(110, 7),\n on_next(220, 3),\n on_next(280, 4),\n on_next(290, 1),\n on_next(340, 8),\n on_next(360, 5),\n on_next(370, 6),\n on_next(390, 7),\n on_next(410, 13),\n on_next(430, 2),\n on_next(450, 9),\n on_next(520, 11),\n on_next(560, 20),\n on_completed(600))\n results = scheduler.create_observer()\n\n def action0(scheduler, state):\n ys[0] = xs.publish()\n scheduler.schedule_absolute(created, action0)\n\n def action1(scheduler, state):\n subscription[0] = ys[0].subscribe(results)\n scheduler.schedule_absolute(subscribed, action1)\n\n def action2(scheduler, state):\n subscription[0].dispose()\n scheduler.schedule_absolute(disposed, action2)\n\n def action3(scheduler, state):\n connection[0] = ys[0].connect()\n scheduler.schedule_absolute(300, action3)\n\n def action4(scheduler, state):\n connection[0].dispose()\n scheduler.schedule_absolute(400, action4)\n\n def action5(scheduler, state):\n connection[0] = ys[0].connect()\n scheduler.schedule_absolute(500, action5)\n\n def action6(scheduler, state):\n connection[0].dispose()\n scheduler.schedule_absolute(800, action6)\n\n scheduler.start()\n results.messages.assert_equal(\n on_next(340, 8),\n on_next(360, 5),\n on_next(370, 6),\n on_next(390, 7),\n on_next(520, 11),\n on_next(560, 20),\n on_completed(600))\n xs.subscriptions.assert_equal(subscribe(300, 400), subscribe(500, 600))", "metadata": "root.TestPublish.test_publish_complete", "header": "['class', 'TestPublish', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 288 }, { "content": " def test_publish_dispose(self):\n connection = [None]\n subscription = [None]\n ys = [None]\n scheduler = TestScheduler()\n xs = scheduler.create_hot_observable(\n on_next(110, 7),\n on_next(220, 3),\n on_next(280, 4),\n on_next(290, 1),\n on_next(340, 8),\n on_next(360, 5),\n on_next(370, 6),\n on_next(390, 7),\n on_next(410, 13),\n on_next(430, 2),\n on_next(450, 9),\n on_next(520, 11),\n on_next(560, 20),\n on_completed(600))\n\n results = scheduler.create_observer()\n\n def action0(scheduler, state):\n ys[0] = xs.publish()\n scheduler.schedule_absolute(created, action0)\n\n def action1(scheduler, state):\n subscription[0] = ys[0].subscribe(results)\n scheduler.schedule_absolute(subscribed, action1)\n\n def action2(scheduler, state):\n subscription[0].dispose()\n scheduler.schedule_absolute(350, action2)\n\n def action3(scheduler, state):\n connection[0] = ys[0].connect()\n scheduler.schedule_absolute(300, action3)\n\n def action4(scheduler, state):\n connection[0].dispose()\n scheduler.schedule_absolute(400, action4)\n\n def action5(scheduler, state):\n connection[0] = ys[0].connect()\n scheduler.schedule_absolute(500, action5)\n\n def action6(scheduler, state):\n connection[0].dispose()\n scheduler.schedule_absolute(550, action6)\n\n def action7(scheduler, state):\n connection[0] = ys[0].connect()\n scheduler.schedule_absolute(650, action7)\n\n def action8(scheduler, state):\n connection[0].dispose()\n scheduler.schedule_absolute(800, action8)\n\n scheduler.start()\n results.messages.assert_equal(on_next(340, 8))\n xs.subscriptions.assert_equal(\n subscribe(300, 400),\n subscribe(500, 550),\n subscribe(650, 800))", "metadata": "root.TestPublish.test_publish_dispose", "header": "['class', 'TestPublish', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 350 }, { "content": " def test_publish_multipleconnections(self):\n xs = Observable.never()\n ys = xs.publish()\n connection1 = ys.connect()\n connection2 = ys.connect()\n assert(connection1 == connection2)\n connection1.dispose()\n connection2.dispose()\n connection3 = ys.connect()\n assert(connection1 != connection3)\n connection3.dispose()", "metadata": "root.TestPublish.test_publish_multipleconnections", "header": "['class', 'TestPublish', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 416 }, { "content": " def test_publish_lambda_zip_complete(self):\n scheduler = TestScheduler()\n xs = scheduler.create_hot_observable(\n on_next(110, 7),\n on_next(220, 3),\n on_next(280, 4),\n on_next(290, 1),\n on_next(340, 8),\n on_next(360, 5),\n on_next(370, 6),\n on_next(390, 7),\n on_next(410, 13),\n on_next(430, 2),\n on_next(450, 9),\n on_next(520, 11),\n on_next(560, 20),\n on_completed(600))\n\n def create():\n def selector(_xs):\n return _xs.zip(_xs.skip(1), lambda prev, cur: cur + prev)\n\n return xs.publish(selector)\n results = scheduler.start(create)\n\n results.messages.assert_equal(\n on_next(280, 7),\n on_next(290, 5),\n on_next(340, 9),\n on_next(360, 13),\n on_next(370, 11),\n on_next(390, 13),\n on_next(410, 20),\n on_next(430, 15),\n on_next(450, 11),\n on_next(520, 20),\n on_next(560, 31),\n on_completed(600))\n xs.subscriptions.assert_equal(subscribe(200, 600))", "metadata": "root.TestPublish.test_publish_lambda_zip_complete", "header": "['class', 'TestPublish', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 428 }, { "content": " def test_publish_lambda_zip_error(self):\n ex = 'ex'\n scheduler = TestScheduler()\n xs = scheduler.create_hot_observable(\n on_next(110, 7),\n on_next(220, 3),\n on_next(280, 4),\n on_next(290, 1),\n on_next(340, 8),\n on_next(360, 5),\n on_next(370, 6),\n on_next(390, 7),\n on_next(410, 13),\n on_next(430, 2),\n on_next(450, 9),\n on_next(520, 11),\n on_next(560, 20),\n on_error(600, ex))\n\n def create():\n def selector(_xs):\n return _xs.zip(_xs.skip(1), lambda prev, cur: cur + prev)\n return xs.publish(selector)\n results = scheduler.start(create)\n\n results.messages.assert_equal(\n on_next(280, 7),\n on_next(290, 5),\n on_next(340, 9),\n on_next(360, 13),\n on_next(370, 11),\n on_next(390, 13),\n on_next(410, 20),\n on_next(430, 15),\n on_next(450, 11),\n on_next(520, 20),\n on_next(560, 31),\n on_error(600, ex))\n xs.subscriptions.assert_equal(subscribe(200, 600))", "metadata": "root.TestPublish.test_publish_lambda_zip_error", "header": "['class', 'TestPublish', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 468 }, { "content": " def test_publish_lambda_zip_dispose(self):\n scheduler = TestScheduler()\n xs = scheduler.create_hot_observable(\n on_next(110, 7),\n on_next(220, 3),\n on_next(280, 4),\n on_next(290, 1),\n on_next(340, 8),\n on_next(360, 5),\n on_next(370, 6),\n on_next(390, 7),\n on_next(410, 13),\n on_next(430, 2),\n on_next(450, 9),\n on_next(520, 11),\n on_next(560, 20),\n on_completed(600))\n\n def create():\n def selector(_xs):\n return _xs.zip(_xs.skip(1), lambda prev, cur: cur + prev)\n return xs.publish(selector)\n\n results = scheduler.start(create, disposed=470)\n results.messages.assert_equal(\n on_next(280, 7),\n on_next(290, 5),\n on_next(340, 9),\n on_next(360, 13),\n on_next(370, 11),\n on_next(390, 13),\n on_next(410, 20),\n on_next(430, 15),\n on_next(450, 11))\n xs.subscriptions.assert_equal(subscribe(200, 470))", "metadata": "root.TestPublish.test_publish_lambda_zip_dispose", "header": "['class', 'TestPublish', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 508 } ]

[ { "span": "from rx.subjects import Subject", "start_line": 5, "start_column": 0, "end_line": 5, "end_column": 31 }, { "span": "from rx.testing import TestScheduler, ReactiveTest, is_prime, MockDisposable", "start_line": 6, "start_column": 0, "end_line": 6, "end_column": 76 }, { "span": "from rx.disposables import Disposable, SerialDisposable", "start_line": 7, "start_column": 0, "end_line": 7, "end_column": 55 } ]

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[ { "content": "\"\"\"\n\n.. _`openmdao.lib.casehandler.api.py`:\n\nA central place to access all of the OpenMDAO case recorders, case\niterators, and case filters in the standard library.\n\"\"\"\n\nfrom openmdao.lib.casehandlers.caseset import CaseArray, CaseSet, caseiter_to_caseset\n\nfrom openmdao.lib.casehandlers.csvcase import CSVCaseIterator, CSVCaseRecorder\nfrom openmdao.lib.casehandlers.dbcase import DBCaseIterator, DBCaseRecorder, \\\n case_db_to_dict\nfrom openmdao.lib.casehandlers.dumpcase import DumpCaseRecorder\n\nfrom openmdao.lib.casehandlers.jsoncase import JSONCaseRecorder, \\\n BSONCaseRecorder, verify_json\n\nfrom openmdao.lib.casehandlers.listcase import ListCaseRecorder, \\\n ListCaseIterator\n\nfrom openmdao.lib.casehandlers.caseset import CaseArray, CaseSet, \\\n caseiter_to_caseset\n\nfrom openmdao.lib.casehandlers.filters import SequenceCaseFilter, \\\n SliceCaseFilter, ExprCaseFilter\n\nfrom openmdao.lib.casehandlers.query import CaseDataset\n\nfrom openmdao.lib.casehandlers.csv_post_processor import caseset_query_to_csv\nfrom openmdao.lib.casehandlers.dump_post_processor import caseset_query_dump\nfrom openmdao.lib.casehandlers.html_post_processor import caseset_query_to_html\n\ntry:\n from openmdao.lib.casehandlers.query_hdf5 import CaseDatasetHDF5\n from openmdao.lib.casehandlers.hdf5case import HDF5CaseRecorder\nexcept ImportError:\n pass\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 } ]

[ { "span": "from openmdao.lib.casehandlers.caseset import CaseArray, CaseSet, caseiter_to_caseset", "start_line": 8, "start_column": 0, "end_line": 8, "end_column": 85 }, { "span": "from openmdao.lib.casehandlers.csvcase import CSVCaseIterator, CSVCaseRecorder", "start_line": 10, "start_column": 0, "end_line": 10, "end_column": 78 }, { "span": "from openmdao.lib.casehandlers.dbcase import DBCaseIterator, DBCaseRecorder, \\\n case_db_to_dict", "start_line": 11, "start_column": 0, "end_line": 12, "end_column": 60 }, { "span": "from openmdao.lib.casehandlers.dumpcase import DumpCaseRecorder", "start_line": 13, "start_column": 0, "end_line": 13, "end_column": 63 }, { "span": "from openmdao.lib.casehandlers.jsoncase import JSONCaseRecorder, \\\n BSONCaseRecorder, verify_json", "start_line": 15, "start_column": 0, "end_line": 16, "end_column": 76 }, { "span": "from openmdao.lib.casehandlers.listcase import ListCaseRecorder, \\\n ListCaseIterator", "start_line": 18, "start_column": 0, "end_line": 19, "end_column": 63 }, { "span": "from openmdao.lib.casehandlers.caseset import CaseArray, CaseSet, \\\n caseiter_to_caseset", "start_line": 21, "start_column": 0, "end_line": 22, "end_column": 65 }, { "span": "from openmdao.lib.casehandlers.filters import SequenceCaseFilter, \\\n SliceCaseFilter, ExprCaseFilter", "start_line": 24, "start_column": 0, "end_line": 25, "end_column": 77 }, { "span": "from openmdao.lib.casehandlers.query import CaseDataset", "start_line": 27, "start_column": 0, "end_line": 27, "end_column": 55 }, { "span": "from openmdao.lib.casehandlers.csv_post_processor import caseset_query_to_csv", "start_line": 29, "start_column": 0, "end_line": 29, "end_column": 77 }, { "span": "from openmdao.lib.casehandlers.dump_post_processor import caseset_query_dump", "start_line": 30, "start_column": 0, "end_line": 30, "end_column": 76 }, { "span": "from openmdao.lib.casehandlers.html_post_processor import caseset_query_to_html", "start_line": 31, "start_column": 0, "end_line": 31, "end_column": 79 }, { "span": "from openmdao.lib.casehandlers.query_hdf5 import CaseDatasetHDF5", "start_line": 34, "start_column": 4, "end_line": 34, "end_column": 68 }, { "span": "from openmdao.lib.casehandlers.hdf5case import HDF5CaseRecorder", "start_line": 35, "start_column": 4, "end_line": 35, "end_column": 67 } ]

[]

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[ { "content": "from base import BaseHandler\n\nimport feedparser\nimport tornado.web\n\nfrom logic import content_remote\n\n# monkeypatch\nfeedparser._HTMLSanitizer.acceptable_elements = \\\n feedparser._HTMLSanitizer.acceptable_elements + ['iframe']\n\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "class PushHandler(BaseHandler):\n\n # tornado & python rock\n", "metadata": "root.PushHandler", "header": "['module', '___EOS___']", "index": 11 }, { "content": " def get(self):\n self.write(self.get_argument('hub.challenge'))", "metadata": "root.PushHandler.get", "header": "['class', 'PushHandler', '(', 'BaseHandler', ')', ':', '___EOS___']", "index": 12 }, { "content": " def check_xsrf_cookie(self):\n pass", "metadata": "root.PushHandler.check_xsrf_cookie", "header": "['class', 'PushHandler', '(', 'BaseHandler', ')', ':', '___EOS___']", "index": 16 }, { "content": " def post(self):\n user = self.models.users.get(username=self.breadcrumbs[\"profile\"])[0]\n\n if not user:\n return\n\n feed_doc = feedparser.parse(self.request.body)\n profile_url = feed_doc.feed['link']\n remote_user = self.models.users_remote.get(local_username=user.username,\n profile_url=profile_url)[0]\n\n if not remote_user:\n return\n\n content_remote.parse_feed(self.models, remote_user,\n parsed_feed=self.request.body,\n max_days_old=self.constants['feed_max_days_old'])", "metadata": "root.PushHandler.post", "header": "['class', 'PushHandler', '(', 'BaseHandler', ')', ':', '___EOS___']", "index": 19 } ]

[ { "span": "import tornado.web", "start_line": 3, "start_column": 0, "end_line": 3, "end_column": 18 } ]

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[ { "content": "#! /usr/bin/env python\n'''\nCopyright (C) 2012 Diego Torres Milano\nCreated on Feb 3, 2012\n\nThis example starts the TemperatureConverter activity then type '123' into the 'Celsius' field.\nThen a ViewClient is created to obtain the view dump and the current values of the views with\nid/celsius and id/fahrenheit are obtained and the conversion printed to stdout.\nFinally, the fields are obtained by using their tags and again, conversion printed to stdout.\n\nIf --localViewServer is passed in the command line then LocalViewServer provided by\nTemperatureConverter is used. This is very useful when the device is secure and ViewServer\ncannot be started.\n\n@author: diego\n'''\n\n\nimport re\nimport sys\nimport os\nimport time\n\n# PyDev sets PYTHONPATH, use it\ntry:\n for p in os.environ['PYTHONPATH'].split(':'):\n if not p in sys.path:\n sys.path.append(p)\nexcept:\n pass\n\ntry:\n sys.path.append(os.path.join(os.environ['ANDROID_VIEW_CLIENT_HOME'], 'src'))\nexcept:\n pass\n\nfrom com.dtmilano.android.viewclient import ViewClient\n\nlocalViewServer = False\nif len(sys.argv) > 1 and sys.argv[1] == '--localViewServer':\n localViewServer = True\n sys.argv.pop(1)\n\ndevice, serialno = ViewClient.connectToDeviceOrExit(ignoresecuredevice=localViewServer)\n\nFLAG_ACTIVITY_NEW_TASK = 0x10000000\npackage = 'com.example.i2at.tc'\nactivity = '.TemperatureConverterActivity'\ncomponentName = package + \"/\" + activity\n\ndevice.startActivity(component=componentName, flags=FLAG_ACTIVITY_NEW_TASK)\ntime.sleep(5)\n\n\ndevice.type(\"123\")\ntime.sleep(3)\n\nvc = ViewClient(device, serialno, startviewserver=(not localViewServer))\n\nif vc.build['ro.build.version.sdk'] >= 16:\n # obtain the views by contentDescription\n celsius = vc.findViewWithContentDescriptionOrRaise(\"celsius\")\n fahrenheit = vc.findViewWithContentDescriptionOrRaise(\"fahrenheit\")\nelse:\n # obtain the views by id\n celsius = vc.findViewByIdOrRaise(\"id/celsius\")\n fahrenheit = vc.findViewByIdOrRaise(\"id/fahrenheit\")\n\nct = celsius.getText()\nif ct:\n c = float(ct)\nelse:\n print >> sys.stderr, \"Celsius is empty\"\n sys.exit(1)\nft = fahrenheit.getText()\nif ft:\n f = float(ft)\nelse:\n print >> sys.stderr, \"Fahrenheit is empty\"\n sys.exit(1)\nprint \"by id: %.2f C => %.2f F\" % (c, f)\n\n# obtain the views by tag\n#celsius = vc.findViewByTagOrRaise(\"celsius\")\n#fahrenheit = vc.findViewByTagOrRaise(\"fahrenheit\")\n#\n#c = float(celsius.getText())\n#f = float(fahrenheit.getText())\n#print \"by tag: %.2f C => %.2f F\" % (c, f)\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 } ]

[ { "span": "import re", "start_line": 18, "start_column": 0, "end_line": 18, "end_column": 9 } ]

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[ { "content": " def test_managers(self):\n a1 = Child1.objects.create(name='fred', data='a1')\n a2 = Child1.objects.create(name='barney', data='a2')\n b1 = Child2.objects.create(name='fred', data='b1', value=1)\n b2 = Child2.objects.create(name='barney', data='b2', value=42)\n c1 = Child3.objects.create(name='fred', data='c1', comment='yes')\n c2 = Child3.objects.create(name='barney', data='c2', comment='no')\n d1 = Child4.objects.create(name='fred', data='d1')\n d2 = Child4.objects.create(name='barney', data='d2')\n e1 = Child5.objects.create(name='fred', comment='yes')\n e2 = Child5.objects.create(name='barney', comment='no')\n f1 = Child6.objects.create(name='fred', data='f1', value=42)\n f2 = Child6.objects.create(name='barney', data='f2', value=42)\n g1 = Child7.objects.create(name='fred')\n g2 = Child7.objects.create(name='barney')\n\n self.assertQuerysetEqual(Child1.manager1.all(), [\"<Child1: a1>\"])\n self.assertQuerysetEqual(Child1.manager2.all(), [\"<Child1: a2>\"])\n self.assertQuerysetEqual(Child1._default_manager.all(), [\"<Child1: a1>\"])\n\n self.assertQuerysetEqual(Child2._default_manager.all(), [\"<Child2: b1>\"])\n self.assertQuerysetEqual(Child2.restricted.all(), [\"<Child2: b2>\"])\n\n self.assertQuerysetEqual(Child3._default_manager.all(), [\"<Child3: c1>\"])\n self.assertQuerysetEqual(Child3.manager1.all(), [\"<Child3: c1>\"])\n self.assertQuerysetEqual(Child3.manager2.all(), [\"<Child3: c2>\"])\n\n # Since Child6 inherits from Child4, the corresponding rows from f1 and\n # f2 also appear here. This is the expected result.\n self.assertQuerysetEqual(Child4._default_manager.order_by('data'), [\n \"<Child4: d1>\",\n \"<Child4: d2>\",\n \"<Child4: f1>\",\n \"<Child4: f2>\"\n ]\n )\n self.assertQuerysetEqual(Child4.manager1.all(), [\n \"<Child4: d1>\",\n \"<Child4: f1>\"\n ]\n )\n self.assertQuerysetEqual(Child5._default_manager.all(), [\"<Child5: fred>\"])\n self.assertQuerysetEqual(Child6._default_manager.all(), [\"<Child6: f1>\"])\n self.assertQuerysetEqual(Child7._default_manager.order_by('name'), [\n \"<Child7: barney>\",\n \"<Child7: fred>\"\n ]\n )", "metadata": "root.ManagersRegressionTests.test_managers", "header": "['class', 'ManagersRegressionTests', '(', 'TestCase', ')', ':', '___EOS___']", "index": 8 } ]

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[ { "content": "# -*- coding: utf-8 -*-\nfrom south.utils import datetime_utils as datetime\nfrom south.db import db\nfrom south.v2 import SchemaMigration\nfrom django.db import models\n\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "class Migration(SchemaMigration):\n\n\n\n\n\n models = {\n u'analyzing.analyzerepository': {\n 'Meta': {'unique_together': \"(('analyzed_at', 'instance_name'),)\", 'object_name': 'AnalyzeRepository'},\n 'analyzed_at': ('django.db.models.fields.DateTimeField', [], {'auto_now_add': 'True', 'blank': 'True'}),\n 'cpu_alarm': ('django.db.models.fields.BooleanField', [], {'default': 'False'}),\n 'created_at': ('django.db.models.fields.DateTimeField', [], {'auto_now_add': 'True', 'blank': 'True'}),\n 'database_name': ('django.db.models.fields.CharField', [], {'max_length': '60'}),\n 'engine_name': ('django.db.models.fields.CharField', [], {'max_length': '20'}),\n 'environment_name': ('django.db.models.fields.CharField', [], {'max_length': '30'}),\n u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),\n 'instance_name': ('django.db.models.fields.CharField', [], {'max_length': '100'}),\n 'memory_alarm': ('django.db.models.fields.BooleanField', [], {'default': 'False'}),\n 'updated_at': ('django.db.models.fields.DateTimeField', [], {'auto_now': 'True', 'blank': 'True'})\n }\n }\n\n complete_apps = ['analyzing']", "metadata": "root.Migration", "header": "['module', '___EOS___']", "index": 7 }, { "content": " def forwards(self, orm):\n # Adding model 'AnalyzeRepository'\n db.create_table(u'analyzing_analyzerepository', (\n (u'id', self.gf('django.db.models.fields.AutoField')(primary_key=True)),\n ('created_at', self.gf('django.db.models.fields.DateTimeField')(auto_now_add=True, blank=True)),\n ('updated_at', self.gf('django.db.models.fields.DateTimeField')(auto_now=True, blank=True)),\n ('analyzed_at', self.gf('django.db.models.fields.DateTimeField')(auto_now_add=True, blank=True)),\n ('database_name', self.gf('django.db.models.fields.CharField')(max_length=60)),\n ('instance_name', self.gf('django.db.models.fields.CharField')(max_length=100)),\n ('engine_name', self.gf('django.db.models.fields.CharField')(max_length=20)),\n ('environment_name', self.gf('django.db.models.fields.CharField')(max_length=30)),\n ('cpu_alarm', self.gf('django.db.models.fields.BooleanField')(default=False)),\n ('memory_alarm', self.gf('django.db.models.fields.BooleanField')(default=False)),\n ))\n db.send_create_signal(u'analyzing', ['AnalyzeRepository'])\n\n # Adding unique constraint on 'AnalyzeRepository', fields ['analyzed_at', 'instance_name']\n db.create_unique(u'analyzing_analyzerepository', ['analyzed_at', 'instance_name'])", "metadata": "root.Migration.forwards", "header": "['class', 'Migration', '(', 'SchemaMigration', ')', ':', '___EOS___']", "index": 9 }, { "content": " def backwards(self, orm):\n # Removing unique constraint on 'AnalyzeRepository', fields ['analyzed_at', 'instance_name']\n db.delete_unique(u'analyzing_analyzerepository', ['analyzed_at', 'instance_name'])\n\n # Deleting model 'AnalyzeRepository'\n db.delete_table(u'analyzing_analyzerepository')", "metadata": "root.Migration.backwards", "header": "['class', 'Migration', '(', 'SchemaMigration', ')', ':', '___EOS___']", "index": 29 } ]

[ { "span": "from south.utils import datetime_utils as datetime", "start_line": 1, "start_column": 0, "end_line": 1, "end_column": 50 }, { "span": "from django.db import models", "start_line": 4, "start_column": 0, "end_line": 4, "end_column": 28 } ]

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[ { "content": " def test_simple_string_ops(self):\n self.assertTrue(self.db.set('name', 'charlie'))\n self.assertEqual(self.db.get('name'), 'charlie')\n self.assertIsNone(self.db.get('not-exist'))\n\n self.assertFalse(self.db.setnx('name', 'huey'))\n self.db.setnx('friend', 'zaizee')\n self.assertEqual(self.db['name'], 'charlie')\n self.assertEqual(self.db['friend'], 'zaizee')\n\n self.assertTrue(self.db.mset({'k1': 'v1', 'k2': 'v2'}))\n res = self.db.mget('k1', 'k2')\n self.assertEqual(res, ['v1', 'v2'])\n\n self.db.append('k1', 'xx')\n self.assertEqual(self.db['k1'], 'v1xx')\n\n del self.db['counter']\n self.assertEqual(self.db.incr('counter'), 1)\n self.assertEqual(self.db.incr('counter', 5), 6)\n self.assertEqual(self.db.decr('counter', 2), 4)\n\n self.assertEqual(self.db.getrange('name', 3, 5), 'rli')\n self.assertEqual(self.db.getset('k2', 'baze'), 'v2')\n self.assertEqual(self.db['k2'], 'baze')\n self.assertEqual(self.db.strlen('name'), 7)\n\n self.db['data'] = '\\x07'\n self.assertEqual(self.db.bitcount('data'), 3)\n\n del self.db['name']\n self.assertIsNone(self.db.get('name'))\n self.assertRaises(KeyError, lambda: self.db['name'])\n\n self.assertFalse('name' in self.db)\n self.assertTrue('k1' in self.db)", "metadata": "root.TestHelper.test_simple_string_ops", "header": "['class', 'TestHelper', '(', 'object', ')', ':', '___EOS___']", "index": 6 }, { "content": " def test_simple_hash(self):\n h = self.db.Hash('hash_obj')\n h.clear()\n\n h['k1'] = 'v1'\n h.update({'k2': 'v2', 'k3': 'v3'})\n self.assertEqual(h.as_dict(), {'k1': 'v1', 'k2': 'v2', 'k3': 'v3'})\n\n self.assertEqual(h['k2'], 'v2')\n self.assertIsNone(h['k4'])\n self.assertTrue('k2' in h)\n self.assertFalse('k4' in h)\n\n del h['k2']\n del h['k4']\n self.assertEqual(sorted(h.keys()), ['k1', 'k3'])\n self.assertEqual(sorted(h.values()), ['v1', 'v3'])\n self.assertEqual(len(h), 2)\n\n self.assertEqual(h['k1', 'k2', 'k3'], ['v1', None, 'v3'])\n\n self.assertEqual(h.incr('counter'), 1)\n self.assertEqual(h.incr('counter', 3), 4)", "metadata": "root.TestHelper.test_simple_hash", "header": "['class', 'TestHelper', '(', 'object', ')', ':', '___EOS___']", "index": 43 }, { "content": " def test_simple_set(self):\n s = self.db.Set('set_obj')\n s.clear()\n\n self.assertTrue(s.add('charlie'))\n self.assertFalse(s.add('charlie'))\n s.add('huey', 'mickey')\n self.assertEqual(len(s), 3)\n self.assertTrue('huey' in s)\n self.assertFalse('xx' in s)\n self.assertEqual(s.members(), set(['charlie', 'huey', 'mickey']))\n\n del s['huey']\n del s['xx']\n self.assertEqual(s.members(), set(['charlie', 'mickey']))\n\n n1 = self.db.Set('n1')\n n2 = self.db.Set('n2')\n n1.add(*range(5))\n n2.add(*range(3, 7))\n\n self.assertEqual(n1 - n2, set(['0', '1', '2']))\n self.assertEqual(n2 - n1, set(['5', '6']))\n self.assertEqual(n1 | n2, set(map(str, range(7))))\n self.assertEqual(n1 & n2, set(['3', '4']))\n\n n1.diffstore('ndiff', n2)\n ndiff = self.db.Set('ndiff')\n self.assertEqual(ndiff.members(), set(['0', '1', '2']))\n\n n1.interstore('ninter', n2)\n ninter = self.db.Set('ninter')\n self.assertEqual(ninter.members(), set(['3', '4']))", "metadata": "root.TestHelper.test_simple_set", "header": "['class', 'TestHelper', '(', 'object', ')', ':', '___EOS___']", "index": 93 }, { "content": " def test_zset(self):\n zs = self.db.ZSet('zset_obj')\n zs.clear()\n\n zs.add('charlie', 31, 'huey', 3, 'mickey', 6, 'zaizee', 3, 'nuggie', 0)\n self.assertEqual(zs[1], ['huey'])\n self.assertEqual(zs[1, True], [('huey', 3)])\n\n self.assertEqual(\n zs[:],\n ['nuggie', 'huey', 'zaizee', 'mickey', 'charlie'])\n self.assertEqual(zs[:2], ['nuggie', 'huey'])\n self.assertEqual(zs[1:3, True], [('huey', 3), ('zaizee', 3)])\n self.assertEqual(zs['huey':'charlie'], ['huey', 'zaizee', 'mickey'])\n\n self.assertEqual(len(zs), 5)\n self.assertTrue('charlie' in zs)\n self.assertFalse('xx' in zs)\n\n self.assertEqual(zs.score('charlie'), 31.)\n self.assertIsNone(zs.score('xx'))\n\n self.assertEqual(zs.rank('mickey'), 3)\n self.assertIsNone(zs.rank('xx'))\n\n self.assertEqual(zs.count(0, 5), 3)\n self.assertEqual(zs.count(6, 31), 2)\n self.assertEqual(zs.count(6, 30), 1)\n\n zs.incr('mickey')\n self.assertEqual(zs.score('mickey'), 7.)\n\n self.assertEqual(zs.range_by_score(0, 5), ['nuggie', 'huey', 'zaizee'])\n\n zs.remove('nuggie')\n self.assertEqual(zs[:2], ['huey', 'zaizee'])\n\n del zs['mickey']\n self.assertEqual(zs[:], ['huey', 'zaizee', 'charlie'])\n self.assertEqual(len(zs), 3)\n\n zs.remove_by_score(2, 4)\n self.assertEqual(zs[:], ['charlie'])\n\n zs.add('huey', 4, 'zaizee', 3, 'beanie', 8)\n zs.remove_by_rank(2)\n self.assertEqual(zs[:], ['zaizee', 'huey', 'charlie'])\n\n self.assertRaises(KeyError, lambda: zs['xx':])\n\n z1 = self.db.ZSet('z1')\n z2 = self.db.ZSet('z2')\n z1.add(1, 1, 2, 2, 3, 3)\n z2.add(3, 3, 4, 4, 5, 5)\n z3 = z1.unionstore('z3', z2)\n self.assertEqual(z3[:], ['1', '2', '4', '5', '3'])\n\n z3 = z1.interstore('z3', z2)\n self.assertEqual(z3[:], ['3'])", "metadata": "root.TestHelper.test_zset", "header": "['class', 'TestHelper', '(', 'object', ')', ':', '___EOS___']", "index": 127 } ]

[ { "span": "self.assertFalse('name' in self.db)", "start_line": 40, "start_column": 8, "end_line": 40, "end_column": 43 }, { "span": "self.assertTrue('k1' in self.db)", "start_line": 41, "start_column": 8, "end_line": 41, "end_column": 40 }, { "span": "self.assertTrue('k2' in h)", "start_line": 53, "start_column": 8, "end_line": 53, "end_column": 34 }, { "span": "self.assertFalse('k4' in h)", "start_line": 54, "start_column": 8, "end_line": 54, "end_column": 35 }, { "span": "self.assertTrue('huey' in s)", "start_line": 101, "start_column": 8, "end_line": 101, "end_column": 36 }, { "span": "self.assertFalse('xx' in s)", "start_line": 102, "start_column": 8, "end_line": 102, "end_column": 35 }, { "span": "self.assertTrue('charlie' in zs)", "start_line": 143, "start_column": 8, "end_line": 143, "end_column": 40 }, { "span": "self.assertFalse('xx' in zs)", "start_line": 144, "start_column": 8, "end_line": 144, "end_column": 36 } ]

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[ { "content": "import api.annotations\nimport api.auth\nimport api.cache\nimport api.common\nimport api.findteam\nimport api.group\nimport api.password_recovery\nimport api.problem\nimport api.programming\nimport api.schemas\nimport api.scoreboard\nimport api.stats\nimport api.team\nimport api.updates\nimport api.user\n\nimport api.config", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 } ]

[ { "span": "import api.annotations", "start_line": 0, "start_column": 0, "end_line": 0, "end_column": 22 }, { "span": "import api.auth", "start_line": 1, "start_column": 0, "end_line": 1, "end_column": 15 }, { "span": "import api.cache", "start_line": 2, "start_column": 0, "end_line": 2, "end_column": 16 }, { "span": "import api.common", "start_line": 3, "start_column": 0, "end_line": 3, "end_column": 17 }, { "span": "import api.findteam", "start_line": 4, "start_column": 0, "end_line": 4, "end_column": 19 }, { "span": "import api.group", "start_line": 5, "start_column": 0, "end_line": 5, "end_column": 16 }, { "span": "import api.password_recovery", "start_line": 6, "start_column": 0, "end_line": 6, "end_column": 28 }, { "span": "import api.problem", "start_line": 7, "start_column": 0, "end_line": 7, "end_column": 18 }, { "span": "import api.programming", "start_line": 8, "start_column": 0, "end_line": 8, "end_column": 22 }, { "span": "import api.schemas", "start_line": 9, "start_column": 0, "end_line": 9, "end_column": 18 }, { "span": "import api.scoreboard", "start_line": 10, "start_column": 0, "end_line": 10, "end_column": 21 }, { "span": "import api.stats", "start_line": 11, "start_column": 0, "end_line": 11, "end_column": 16 }, { "span": "import api.team", "start_line": 12, "start_column": 0, "end_line": 12, "end_column": 15 }, { "span": "import api.updates", "start_line": 13, "start_column": 0, "end_line": 13, "end_column": 18 }, { "span": "import api.user", "start_line": 14, "start_column": 0, "end_line": 14, "end_column": 15 }, { "span": "import api.config", "start_line": 16, "start_column": 0, "end_line": 16, "end_column": 17 } ]

[]

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[ { "content": "def delete_mistyped_role():\n \"\"\"\n Delete \" system_admin\" role which was fat fingered.\n \"\"\"\n # Note: Space is significant here since we want to remove a bad role\n role_name = ' system_admin'\n assert(role_name.startswith(' '))\n\n try:\n role_db = Role.get_by_name(role_name)\n except:\n return\n\n if not role_db:\n return\n\n try:\n Role.delete(role_db)\n except:\n return", "metadata": "root.delete_mistyped_role", "header": "['module', '___EOS___']", "index": 53 } ]

[ { "span": "except:", "start_line": 63, "start_column": 4, "end_line": 63, "end_column": 11 }, { "span": "except:", "start_line": 71, "start_column": 4, "end_line": 71, "end_column": 11 } ]

[]

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[ { "content": " def _makeOnePopulated(self, programs, any, response=None, exc=None,\n gcore=None, coredir=None, eager=True):\n if response is None:\n response = DummyResponse()\n rpc = DummyRPCServer()\n sendmail = 'cat - > /dev/null'\n email = 'chrism@plope.com'\n url = 'http://foo/bar'\n timeout = 10\n status = '200'\n inbody = None\n gcore = gcore\n coredir = coredir\n prog = self._makeOne(rpc, programs, any, url, timeout, status,\n inbody, email, sendmail, coredir, gcore, eager)\n prog.stdin = StringIO()\n prog.stdout = StringIO()\n prog.stderr = StringIO()\n prog.connclass = make_connection(response, exc=exc)\n return prog", "metadata": "root.HTTPOkTests._makeOnePopulated", "header": "['class', 'HTTPOkTests', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 58 } ]

[ { "span": "gcore = gcore", "start_line": 69, "start_column": 8, "end_line": 69, "end_column": 21 }, { "span": "coredir = coredir", "start_line": 70, "start_column": 8, "end_line": 70, "end_column": 25 } ]

[]

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[ { "content": " def undo ( self ):\n \"\"\" Undoes the change.\n \"\"\"\n try:\n setattr( self.object, self.name, self.old_value )\n except:\n pass", "metadata": "root.UndoItem.undo", "header": "['class', 'UndoItem', '(', 'AbstractUndoItem', ')', ':', '___EOS___']", "index": 117 }, { "content": " def redo ( self ):\n \"\"\" Re-does the change.\n \"\"\"\n try:\n setattr( self.object, self.name, self.new_value )\n except:\n pass", "metadata": "root.UndoItem.redo", "header": "['class', 'UndoItem', '(', 'AbstractUndoItem', ')', ':', '___EOS___']", "index": 129 }, { "content": " def merge_undo ( self, undo_item ):\n \"\"\" Merges two undo items if possible.\n \"\"\"\n # Undo items are potentially mergeable only if they are of the same\n # class and refer to the same object trait, so check that first:\n if (isinstance( undo_item, self.__class__ ) and\n (self.object is undo_item.object) and\n (self.name == undo_item.name)):\n v1 = self.new_value\n v2 = undo_item.new_value\n t1 = type( v1 )\n if t1 is type( v2 ):\n\n if isinstance(t1, basestring):\n # Merge two undo items if they have new values which are\n # strings which only differ by one character (corresponding\n # to a single character insertion, deletion or replacement\n # operation in a text editor):\n n1 = len( v1 )\n n2 = len( v2 )\n n = min( n1, n2 )\n i = 0\n while (i < n) and (v1[i] == v2[i]):\n i += 1\n if v1[i + (n2 <= n1):] == v2[i + (n2 >= n1):]:\n self.new_value = v2\n return True\n\n elif isinstance(v1, collections.Sequence):\n # Merge sequence types only if a single element has changed\n # from the 'original' value, and the element type is a\n # simple Python type:\n v1 = self.old_value\n if isinstance(v1, collections.Sequence):\n # Note: wxColour says it's a sequence type, but it\n # doesn't support 'len', so we handle the exception\n # just in case other classes have similar behavior:\n try:\n if len( v1 ) == len( v2 ):\n diffs = 0\n for i, item in enumerate( v1 ):\n titem = type( item )\n item2 = v2[i]\n if ((titem not in SimpleTypes) or\n (titem is not type( item2 )) or\n (item != item2)):\n diffs += 1\n if diffs >= 2:\n return False\n if diffs == 0:\n return False\n self.new_value = v2\n return True\n except:\n pass\n\n elif t1 in NumericTypes:\n # Always merge simple numeric trait changes:\n self.new_value = v2\n return True\n return False", "metadata": "root.UndoItem.merge_undo", "header": "['class', 'UndoItem', '(', 'AbstractUndoItem', ')', ':', '___EOS___']", "index": 141 }, { "content": " def undo ( self ):\n \"\"\" Undoes the change.\n \"\"\"\n try:\n list = getattr( self.object, self.name )\n list[ self.index: (self.index + len( self.added )) ] = self.removed\n except:\n pass", "metadata": "root.ListUndoItem.undo", "header": "['class', 'ListUndoItem', '(', 'AbstractUndoItem', ')', ':', '___EOS___']", "index": 241 }, { "content": " def redo ( self ):\n \"\"\" Re-does the change.\n \"\"\"\n try:\n list = getattr( self.object, self.name )\n list[ self.index: (self.index + len( self.removed )) ] = self.added\n except:\n pass", "metadata": "root.ListUndoItem.redo", "header": "['class', 'ListUndoItem', '(', 'AbstractUndoItem', ')', ':', '___EOS___']", "index": 254 } ]

[ { "span": "except:", "start_line": 122, "start_column": 8, "end_line": 122, "end_column": 15 }, { "span": "except:", "start_line": 134, "start_column": 8, "end_line": 134, "end_column": 15 }, { "span": "except:", "start_line": 194, "start_column": 24, "end_line": 194, "end_column": 31 }, { "span": "except:", "start_line": 247, "start_column": 8, "end_line": 247, "end_column": 15 }, { "span": "except:", "start_line": 260, "start_column": 8, "end_line": 260, "end_column": 15 } ]

[]

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[ { "content": "def gpg_exception_factory(returncode, message):\n if returncode == 2:\n if b'decryption failed: bad key' in message:\n return IncorrectPasswordException(message)\n if b'CRC error;' in message:\n return FileCorruptionException(message)\n if b'fatal: zlib inflate problem: invalid distance' in message:\n return FileCorruptionException(message)\n if b'decryption failed: invalid packet' in message:\n return FileCorruptionException(message)\n if b'no valid OpenPGP data found':\n return InvalidEncryptedFileException(message)\n return Exception(\"unkown error\", returncode, message)", "metadata": "root.gpg_exception_factory", "header": "['module', '___EOS___']", "index": 127 } ]

[ { "span": "b'no valid OpenPGP data found':", "start_line": 137, "start_column": 11, "end_line": 137, "end_column": 41 } ]

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[ { "content": "class VTK2VT(object):\n vtk_data_url = 'http://www.vtk.org/files/release/5.0/vtkdata-5.0.4.zip'\n package_name = 'edu.utah.sci.vistrails.vtk'\n basic_name = 'edu.utah.sci.vistrails.basic'\n pythoncalc_name = 'edu.utah.sci.vistrails.pythoncalc'\n http_name = 'edu.utah.sci.vistrails.http'\n variant_sigstring ='(edu.utah.sci.vistrails.basic:Tuple)'\n unused_functions = set(['Update', \n 'Read', \n 'Write', \n 'Start', \n 'Initialize',\n 'Render', \n 'PlaceWidget', \n 'AddObserver',\n 'SetSize',\n ])\n translate_ports = {'SetInputConnection': {None: 'SetInputConnection0'},\n 'GetOutputPort': {None: 'GetOutputPort0'},\n 'SetRenderWindow': {None: 'SetVTKCell'},\n 'SetInteractorStyle': {None: 'InteractorStyle'},\n 'ResetCamera': {None: 'ResetCamera'},\n 'AddInput': {None: 'AddInput',\n 'vtkXYPlotActor': 'AddInput_2'},\n 'SetInput': {None: 'SetInput',\n 'vtkPolyDataNormals': 'SetInput_1',\n 'vtkGlyph3D': 'SetInput_1',\n 'vtkDelaunay2D': 'SetInput_1',\n 'vtkDelaunay3D': 'SetInput_1',\n 'vtkWarpVector': 'SetInput_1',\n 'vtkContourFilter': 'SetInput_1',\n 'vtkTubeFilter': 'SetInput_1',\n 'vtkThresholdPoints': 'SetInput_1',\n 'vtkProbeFilter': 'SetInput_1',\n 'vtkTriangleFilter': 'SetInput_1',\n 'vtkBandedPolyDataContourFilter': \\\n 'SetInput_1',\n 'vtkWarpScalar': 'SetInput_1'},\n 'SetSourceConnection': {None: 'SetSourceConnection',\n 'vtkGlyph3D': \\\n 'SetSourceConnection_2'},\n 'AddFunction': {None: 'AddFunction',\n ('vtkImplicitSum', 'vtkPlane'): \\\n 'AddFunction_2',\n ('vtkImplicitSum', 'Tuple'): \\\n 'AddFunction_1'},\n 'SetColor': {None: 'SetColor',\n ('vtkVolumeProperty', \n 'vtkColorTransferFunction'): \\\n 'SetColor_4',\n ('vtkVolumeProperty', \n 'vtkPiecewiseFunction'): \\\n 'SetColor_2'},\n 'SetScalarOpacity': {None: 'SetScalarOpacity',\n 'vtkVolumeProperty': \\\n 'SetScalarOpacity_2'},\n 'SetSource': {None: 'SetSource',\n 'vtkGlyph3D': 'SetSource_1'},\n }\n\n inspector_functions = {'GetScalarRange': 'vtkDataSetInspector',\n 'GetCenter': 'vtkDataSetInspector',\n 'GetNumberOfCells': 'vtkDataSetInspector',\n 'GetNumberOfPoints': 'vtkDataSetInspector',\n 'GetLength': 'vtkDataSetInspector',\n 'GetBounds': 'vtkDataSetInspector',\n 'GetPointData': 'vtkDataSetInspector',\n 'GetCellData': 'vtkDataSetInspector',\n 'GetVerts': 'vtkPolyDataInspector',\n 'GetPoints': 'vtkPolyDataInspector',\n 'GetLines': 'vtkPolyDataInspector',\n 'GetStrips': 'vtkPolyDataInspector',\n 'GetPoints': 'vtkPolyDataInspector',\n 'GetNumberOfVerts': 'vtkPolyDataInspector',\n 'GetNumberOfPoints': 'vtkPolyDataInspector',\n 'GetNumberOfPolys': 'vtkPolyDataInspector',\n 'GetNumberOfStrips': 'vtkPolyDataInspector',\n 'GetScalars': 'vtkDataSetAttributesInspector',\n 'GetVectors': 'vtkDataSetAttributesInspector',\n 'GetNormals': 'vtkDataSetAttributesInspector',\n 'GetTCoords': 'vtkDataSetAttributesInspector',\n 'GetTensors': 'vtkDataSetAttributesInspector',\n 'GetGlobalIds': 'vtkDataSetAttributesInspector',\n 'GetPedigreeIds': 'vtkDataSetAttributesInspector',\n 'GetMaxNorm': 'vtkDataArrayInspector',\n 'GetRange': 'vtkDataArrayInspector',\n }\n \n getters = {'GetProperty': {None: ('SetProperty', 'vtkProperty', None),\n 'vtkXYPlotActor': ('SetProperty',\n 'vtkProperty2D', None)}, \n 'GetActiveCamera': {None: ('SetActiveCamera', \n 'vtkCamera', None)},\n 'GetTitleTextProperty':{None: ('SetTitleTextProperty', \n 'vtkTextProperty',\n [('BoldOn',),\n ('ItalicOn',),\n ('ShadowOn',),\n ('SetFontFamilyToArial',)])},\n 'GetTextProperty': {None: ('SetTextProperty', \n 'vtkTextProperty', None)},\n 'GetPointData': {None: ('SetPointData', 'vtkPointData', None)},\n 'GetCellData': {None: ('SetCellData', 'vtkCellData', None)},\n 'GetPointIds': {None: ('SetPointIds', 'vtkIdList', None),\n 'vtkVoxel': ('SetPointIds', 'vtkIdList',\n [('SetNumberOfIds', 8)]),\n 'vtkHexahedron': ('SetPointIds', 'vtkIdList',\n [('SetNumberOfIds', 8)]),\n 'vtkTetra': ('SetPointIds', 'vtkIdList',\n [('SetNumberOfIds', 4)]),\n 'vtkWedge': ('SetPointIds', 'vtkIdList',\n [('SetNumberOfIds', 6)]),\n 'vtkPyramid': ('SetPointIds', 'vtkIdList',\n [('SetNumberOfIds', 5)]),\n 'vtkPixel': ('SetPointIds', 'vtkIdList',\n [('SetNumberOfIds', 4)]), \n 'vtkQuad': ('SetPointIds', 'vtkIdList',\n [('SetNumberOfIds', 4)]), \n 'vtkTriangle': ('SetPointIds', 'vtkIdList',\n [('SetNumberOfIds', 3)]), \n 'vtkLine': ('SetPointIds', 'vtkIdList',\n [('SetNumberOfIds', 2)]), \n 'vtkVertex': ('SetPointIds', 'vtkIdList',\n [('SetNumberOfIds', 1)]), \n },\n 'GetRenderWindow': {None: ('SetVTKCell', 'VTKCell', None)},\n }\n\n set_file_name_pattern = re.compile('Set.*FileName$')\n\n\n\n \n \n \n \n\n\n\n\n # end get_parameters\n \n\n \n", "metadata": "root.VTK2VT", "header": "['module', '___EOS___']", "index": 52 } ]

[ { "span": "'GetNumberOfPoints':", "start_line": 115, "start_column": 27, "end_line": 115, "end_column": 46 }, { "span": "'GetPoints':", "start_line": 121, "start_column": 27, "end_line": 121, "end_column": 38 } ]

[ { "span": "'GetPoints':", "start_line": 124, "start_column": 27, "end_line": 124, "end_column": 38 }, { "span": "'GetNumberOfPoints':", "start_line": 126, "start_column": 27, "end_line": 126, "end_column": 46 } ]

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[ { "content": " def is_trait(self, name):\n \"\"\" Attempt to resolve a name to see if it is a trait. \"\"\"\n\n # fixme: We might want to be a bit cleverer than this ;^)\n return True\n\n # Try the namespace's locals first.\n if name in self.locals:\n # These are the definitive traits markers!\n if name in ['TraitFactory', 'Trait', 'Instance']:\n is_trait = True\n\n # The name won't be in the '_is_trait' dictionary if it was not\n # defined by an assignment i.e., it is a class or function!\n elif not self._is_trait.get(name, False):\n is_trait = False\n\n else:\n next = self.locals[name]\n if len(next.source) > 0:\n is_trait = self.is_trait(next.source)\n\n else:\n is_trait = False\n\n # Is the name imported?\n elif self.is_imported(name):\n module_name = self.get_next_module_name(name)\n module = self.get_next_module(module_name)\n\n if module is not None:\n components = name.split('.')\n is_trait = module.is_trait(components[-1])\n\n else:\n is_trait = False\n\n # If we have a parent namespace then try that.\n elif self.namespace is not None:\n is_trait = self.namespace.is_trait(name)\n\n # Otherwise give up!\n else:\n is_trait = False\n\n return is_trait", "metadata": "root.Namespace.is_trait", "header": "['class', 'Namespace', '(', 'HasTraits', ')', ':', '___EOS___']", "index": 29 } ]

[ { "span": "if name in self.locals:", "start_line": 36, "start_column": 8, "end_line": 36, "end_column": 31 } ]

[]

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[ { "content": "import pytest\nimport psycopg2\nimport psycopg2.extras\nfrom pgcli.main import format_output\nfrom pgcli.pgexecute import register_json_typecasters\n\n# TODO: should this be somehow be divined from environment?\nPOSTGRES_USER, POSTGRES_HOST = 'postgres', 'localhost'\n\n\n\n\ntry:\n conn = db_connection()\n CAN_CONNECT_TO_DB = True\n SERVER_VERSION = conn.server_version\n json_types = register_json_typecasters(conn, lambda x: x)\n JSON_AVAILABLE = 'json' in json_types\n JSONB_AVAILABLE = 'jsonb' in json_types\nexcept:\n CAN_CONNECT_TO_DB = JSON_AVAILABLE = JSONB_AVAILABLE = False\n SERVER_VERSION = 0\n\n\ndbtest = pytest.mark.skipif(\n not CAN_CONNECT_TO_DB,\n reason=\"Need a postgres instance at localhost accessible by user 'postgres'\")\n\n\nrequires_json = pytest.mark.skipif(\n not JSON_AVAILABLE,\n reason='Postgres server unavailable or json type not defined')\n\n\nrequires_jsonb = pytest.mark.skipif(\n not JSONB_AVAILABLE,\n reason='Postgres server unavailable or jsonb type not defined')\n\n\n\n\n\n\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "def create_db(dbname):\n with db_connection().cursor() as cur:\n try:\n cur.execute('''CREATE DATABASE _test_db''')\n except:\n pass", "metadata": "root.create_db", "header": "['module', '___EOS___']", "index": 43 } ]

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[ { "content": " def testReadFromFile(self):\n vertex1Indices = [0, 2, 3, 4, 5]\n vertex2Indices = [1, 6, 7, 8, 9]\n\n def genderConv(x):\n genderDict = {'\"M\"': 0, '\"F\"': 1}\n return genderDict[x]\n\n def orientConv(x):\n orientDict = {'\"HT\"': 0, '\"HB\"': 1}\n return orientDict[x]\n\n converters = {2: genderConv, 6: genderConv, 3:orientConv, 7:orientConv}\n\n csvGraphReader = CsvGraphReader(vertex1Indices, vertex2Indices, converters)\n\n dir = PathDefaults.getDataDir()\n fileName = dir + \"test/infect5.csv\"\n\n graph = csvGraphReader.readFromFile(fileName)\n\n self.assertTrue((graph.getVertex(0) == numpy.array([0, 0, 28, 1])).all())\n self.assertTrue((graph.getVertex(1) == numpy.array([1, 0, 26, 1])).all())\n self.assertTrue((graph.getVertex(2) == numpy.array([0, 1, 42, 2])).all())\n self.assertTrue((graph.getVertex(3) == numpy.array([1, 0, 33, 1])).all())\n self.assertTrue((graph.getVertex(4) == numpy.array([0, 1, 35, 37])).all())\n\n self.assertTrue(graph.getEdge(0, 1) == 1)\n self.assertTrue(graph.getEdge(2, 3) == 1)\n self.assertTrue(graph.getEdge(4, 6) == 1)\n self.assertTrue(graph.getEdge(6, 7) == 1)\n self.assertTrue(graph.getEdge(5, 8) == 1)\n\n self.assertEquals(graph.getNumEdges(), 5)\n self.assertTrue(graph.isUndirected())\n\n #Test a directed graph\n csvGraphReader = CsvGraphReader(vertex1Indices, vertex2Indices, converters, undirected=False)\n graph = csvGraphReader.readFromFile(fileName)\n\n self.assertTrue(graph.getEdge(1, 0) == None)\n self.assertTrue(graph.getEdge(3, 2) == None)\n self.assertTrue(graph.getEdge(6, 4) == None)\n self.assertTrue(graph.getEdge(7, 6) == None)\n self.assertTrue(graph.getEdge(8, 5) == None)\n\n self.assertEquals(graph.getNumEdges(), 5)\n self.assertFalse(graph.isUndirected())\n\n #Test graph with no vertex information\n vertex1Indices = [0]\n vertex2Indices = [1]\n fileName = dir + \"test/infect5-0.csv\"\n csvGraphReader = CsvGraphReader(vertex1Indices, vertex2Indices, {})\n graph = csvGraphReader.readFromFile(fileName)\n\n self.assertTrue(graph.getEdge(0, 1) == 1)\n self.assertTrue(graph.getEdge(2, 3) == 1)\n self.assertTrue(graph.getEdge(4, 6) == 1)\n self.assertTrue(graph.getEdge(6, 7) == 1)\n self.assertTrue(graph.getEdge(5, 8) == 1)\n\n self.assertEquals(graph.getNumEdges(), 5)\n self.assertTrue(graph.isUndirected())\n self.assertEquals(graph.getVertexList().getNumFeatures(), 0)", "metadata": "root.CsvGraphReaderTest.testReadFromFile", "header": "['class', 'CsvGraphReaderTest', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 13 } ]

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[ { "content": " def test_equal_on_equal(self):\n \"\"\"\n Test that the equality operator returns True when comparing two\n OpaqueObject objects with the same data.\n \"\"\"\n a = OpaqueObject(self.bytes_a, enums.OpaqueDataType.NONE)\n b = OpaqueObject(self.bytes_a, enums.OpaqueDataType.NONE)\n self.assertTrue(a == b)\n self.assertTrue(b == a)", "metadata": "root.TestOpaqueObject.test_equal_on_equal", "header": "['class', 'TestOpaqueObject', '(', 'testtools', '.', 'TestCase', ')', ':', '___EOS___']", "index": 122 }, { "content": " def test_equal_on_not_equal_value(self):\n \"\"\"\n Test that the equality operator returns False when comparing two\n OpaqueObject objects with different data.\n \"\"\"\n a = OpaqueObject(self.bytes_a, enums.OpaqueDataType.NONE)\n b = OpaqueObject(self.bytes_b, enums.OpaqueDataType.NONE)\n self.assertFalse(a == b)\n self.assertFalse(b == a)", "metadata": "root.TestOpaqueObject.test_equal_on_not_equal_value", "header": "['class', 'TestOpaqueObject', '(', 'testtools', '.', 'TestCase', ')', ':', '___EOS___']", "index": 132 }, { "content": " def test_equal_on_not_equal_data_type(self):\n \"\"\"\n Test that the equality operator returns False when comparing two\n OpaqueObject objects with different data.\n \"\"\"\n a = OpaqueObject(self.bytes_a, enums.OpaqueDataType.NONE)\n b = OpaqueObject(self.bytes_a, enums.OpaqueDataType.NONE)\n b.opaque_type = \"invalid\"\n self.assertFalse(a == b)\n self.assertFalse(b == a)", "metadata": "root.TestOpaqueObject.test_equal_on_not_equal_data_type", "header": "['class', 'TestOpaqueObject', '(', 'testtools', '.', 'TestCase', ')', ':', '___EOS___']", "index": 142 }, { "content": " def test_equal_on_type_mismatch(self):\n \"\"\"\n Test that the equality operator returns False when comparing a\n OpaqueObject object to a non-OpaqueObject object.\n \"\"\"\n a = OpaqueObject(self.bytes_a, enums.OpaqueDataType.NONE)\n b = \"invalid\"\n self.assertFalse(a == b)\n self.assertFalse(b == a)", "metadata": "root.TestOpaqueObject.test_equal_on_type_mismatch", "header": "['class', 'TestOpaqueObject', '(', 'testtools', '.', 'TestCase', ')', ':', '___EOS___']", "index": 153 }, { "content": " def test_not_equal_on_equal(self):\n \"\"\"\n Test that the inequality operator returns False when comparing\n two OpaqueObject objects with the same internal data.\n \"\"\"\n a = OpaqueObject(self.bytes_a, enums.OpaqueDataType.NONE)\n b = OpaqueObject(self.bytes_a, enums.OpaqueDataType.NONE)\n self.assertFalse(a != b)\n self.assertFalse(b != a)", "metadata": "root.TestOpaqueObject.test_not_equal_on_equal", "header": "['class', 'TestOpaqueObject', '(', 'testtools', '.', 'TestCase', ')', ':', '___EOS___']", "index": 163 }, { "content": " def test_not_equal_on_not_equal_value(self):\n \"\"\"\n Test that the equality operator returns True when comparing two\n OpaqueObject objects with different data.\n \"\"\"\n a = OpaqueObject(self.bytes_a, enums.OpaqueDataType.NONE)\n b = OpaqueObject(self.bytes_b, enums.OpaqueDataType.NONE)\n self.assertTrue(a != b)\n self.assertTrue(b != a)", "metadata": "root.TestOpaqueObject.test_not_equal_on_not_equal_value", "header": "['class', 'TestOpaqueObject', '(', 'testtools', '.', 'TestCase', ')', ':', '___EOS___']", "index": 173 }, { "content": " def test_not_equal_on_not_equal_data_type(self):\n \"\"\"\n Test that the equality operator returns True when comparing two\n OpaqueObject objects with different data.\n \"\"\"\n a = OpaqueObject(self.bytes_a, enums.OpaqueDataType.NONE)\n b = OpaqueObject(self.bytes_a, enums.OpaqueDataType.NONE)\n b.opaque_type = \"invalid\"\n self.assertTrue(a != b)\n self.assertTrue(b != a)", "metadata": "root.TestOpaqueObject.test_not_equal_on_not_equal_data_type", "header": "['class', 'TestOpaqueObject', '(', 'testtools', '.', 'TestCase', ')', ':', '___EOS___']", "index": 183 }, { "content": " def test_not_equal_on_type_mismatch(self):\n \"\"\"\n Test that the equality operator returns True when comparing a\n OpaqueObject object to a non-OpaqueObject object.\n \"\"\"\n a = OpaqueObject(self.bytes_a, enums.OpaqueDataType.NONE)\n b = \"invalid\"\n self.assertTrue(a != b)\n self.assertTrue(b != a)", "metadata": "root.TestOpaqueObject.test_not_equal_on_type_mismatch", "header": "['class', 'TestOpaqueObject', '(', 'testtools', '.', 'TestCase', ')', ':', '___EOS___']", "index": 194 } ]

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[ { "content": " def __init__(self, serial_address=None):\n super().__init__()\n\n # Make logger\n logger = logging.getLogger('AAG_cloud_sensor')\n if len(logger.handlers) == 0:\n logger.setLevel(logging.DEBUG)\n # Set up console output\n LogConsoleHandler = logging.StreamHandler()\n LogConsoleHandler.setLevel(logging.INFO)\n LogFormat = logging.Formatter('%(asctime)23s %(levelname)8s: %(message)s')\n LogConsoleHandler.setFormatter(LogFormat)\n logger.addHandler(LogConsoleHandler)\n # Set up file output\n LogFilePath = os.path.join('/', 'var', 'panoptes', 'logs', 'PanoptesWeather')\n\n if not os.path.exists(LogFilePath):\n os.mkdir(LogFilePath)\n\n now = dt.utcnow()\n LogFileName = now.strftime('AAGCloudSensor.log')\n LogFile = os.path.join(LogFilePath, LogFileName)\n LogFileHandler = logging.handlers.TimedRotatingFileHandler(LogFile,\n when='midnight', interval=1, utc=True)\n LogFileHandler.setLevel(logging.DEBUG)\n LogFileHandler.setFormatter(LogFormat)\n logger.addHandler(LogFileHandler)\n\n self.logger = logger\n\n # Read configuration\n self.cfg = load_config()['weather']['aag_cloud']\n\n # Initialize Serial Connection\n if not serial_address:\n serial_address = self.cfg.get('serial_port', '/dev/ttyUSB0')\n\n if self.logger:\n self.logger.debug('Using serial address: {}'.format(serial_address))\n\n if serial_address:\n if self.logger:\n self.logger.info('Connecting to AAG Cloud Sensor')\n try:\n self.AAG = serial.Serial(serial_address, 9600, timeout=2)\n self.logger.info(\" Connected to Cloud Sensor on {}\".format(serial_address))\n except OSError as e:\n self.logger.error('Unable to connect to AAG Cloud Sensor')\n self.logger.error(' {}'.format(e.errno))\n self.logger.error(' {}'.format(e.strerror))\n self.AAG = None\n except:\n self.logger.error(\"Unable to connect to AAG Cloud Sensor\")\n self.AAG = None\n else:\n self.AAG = None\n\n # Thresholds\n\n # Initialize Values\n self.last_update = None\n self.safe = None\n self.ambient_temp = None\n self.sky_temp = None\n self.wind_speed = None\n self.internal_voltage = None\n self.LDR_resistance = None\n self.rain_sensor_temp = None\n self.PWM = None\n self.errors = None\n self.switch = None\n self.safe_dict = None\n self.hibernate = 0.500 # time to wait after failed query\n\n # Set Up Heater\n if 'heater' in self.cfg:\n self.heater_cfg = self.cfg['heater']\n else:\n self.heater_cfg = {\n 'low_temp': 0,\n 'low_delta': 6,\n 'high_temp': 20,\n 'high_delta': 4,\n 'min_power': 10,\n 'impulse_temp': 10,\n 'impulse_duration': 60,\n 'impulse_cycle': 600,\n }\n self.heater_PID = PID(Kp=3.0, Ki=0.02, Kd=200.0,\n max_age=300,\n output_limits=[self.heater_cfg['min_power'], 100])\n\n self.impulse_heating = None\n self.impulse_start = None\n\n # Command Translation\n self.commands = {'!A': 'Get internal name',\n '!B': 'Get firmware version',\n '!C': 'Get values',\n '!D': 'Get internal errors',\n '!E': 'Get rain frequency',\n '!F': 'Get switch status',\n '!G': 'Set switch open',\n '!H': 'Set switch closed',\n 'P\\d\\d\\d\\d!': 'Set PWM value',\n '!Q': 'Get PWM value',\n '!S': 'Get sky IR temperature',\n '!T': 'Get sensor temperature',\n '!z': 'Reset RS232 buffer pointers',\n '!K': 'Get serial number',\n 'v!': 'Query if anemometer enabled',\n 'V!': 'Get wind speed',\n 'M!': 'Get electrical constants',\n '!Pxxxx': 'Set PWM value to xxxx',\n }\n self.expects = {'!A': '!N\\s+(\\w+)!',\n '!B': '!V\\s+([\\d\\.\\-]+)!',\n '!C': '!6\\s+([\\d\\.\\-]+)!4\\s+([\\d\\.\\-]+)!5\\s+([\\d\\.\\-]+)!',\n '!D': '!E1\\s+([\\d\\.]+)!E2\\s+([\\d\\.]+)!E3\\s+([\\d\\.]+)!E4\\s+([\\d\\.]+)!',\n '!E': '!R\\s+([\\d\\.\\-]+)!',\n '!F': '!Y\\s+([\\d\\.\\-]+)!',\n 'P\\d\\d\\d\\d!': '!Q\\s+([\\d\\.\\-]+)!',\n '!Q': '!Q\\s+([\\d\\.\\-]+)!',\n '!S': '!1\\s+([\\d\\.\\-]+)!',\n '!T': '!2\\s+([\\d\\.\\-]+)!',\n '!K': '!K(\\d+)\\s*\\\\x00!',\n 'v!': '!v\\s+([\\d\\.\\-]+)!',\n 'V!': '!w\\s+([\\d\\.\\-]+)!',\n 'M!': '!M(.{12})',\n }\n self.delays = {\n '!E': 0.350,\n }\n\n if self.AAG:\n # Query Device Name\n result = self.query('!A')\n if result:\n self.name = result[0].strip()\n if self.logger:\n self.logger.info(' Device Name is \"{}\"'.format(self.name))\n else:\n self.name = ''\n if self.logger:\n self.logger.warning(' Failed to get Device Name')\n sys.exit(1)\n\n # Query Firmware Version\n result = self.query('!B')\n if result:\n self.firmware_version = result[0].strip()\n if self.logger:\n self.logger.info(' Firmware Version = {}'.format(self.firmware_version))\n else:\n self.firmware_version = ''\n if self.logger:\n self.logger.warning(' Failed to get Firmware Version')\n sys.exit(1)\n\n # Query Serial Number\n result = self.query('!K')\n if result:\n self.serial_number = result[0].strip()\n if self.logger:\n self.logger.info(' Serial Number: {}'.format(self.serial_number))\n else:\n self.serial_number = ''\n if self.logger:\n self.logger.warning(' Failed to get Serial Number')\n sys.exit(1)", "metadata": "root.AAGCloudSensor.__init__", "header": "['class', 'AAGCloudSensor', '(', 'WeatherStation', ')', ':', '___EOS___']", "index": 109 }, { "content": " def get_ambient_temperature(self, n=5):\n '''\n Populates the self.ambient_temp property\n\n Calculation is taken from Rs232_Comms_v100.pdf section \"Converting values\n sent by the device to meaningful units\" item 5.\n '''\n if self.logger:\n self.logger.info('Getting ambient temperature')\n values = []\n for i in range(0, n):\n try:\n value = float(self.query('!T')[0]) / 100.\n except:\n pass\n else:\n if self.logger:\n self.logger.debug(' Ambient Temperature Query = {:.1f}'.format(value))\n values.append(value)\n if len(values) >= n - 1:\n self.ambient_temp = np.median(values) * u.Celsius\n if self.logger:\n self.logger.info(' Ambient Temperature = {:.1f}'.format(self.ambient_temp))\n else:\n self.ambient_temp = None\n if self.logger:\n self.logger.info(' Failed to Read Ambient Temperature')\n return self.ambient_temp", "metadata": "root.AAGCloudSensor.get_ambient_temperature", "header": "['class', 'AAGCloudSensor', '(', 'WeatherStation', ')', ':', '___EOS___']", "index": 350 }, { "content": " def get_sky_temperature(self, n=9):\n '''\n Populates the self.sky_temp property\n\n Calculation is taken from Rs232_Comms_v100.pdf section \"Converting values\n sent by the device to meaningful units\" item 1.\n\n Does this n times as recommended by the \"Communication operational\n recommendations\" section in Rs232_Comms_v100.pdf\n '''\n if self.logger:\n self.logger.info('Getting sky temperature')\n values = []\n for i in range(0, n):\n try:\n value = float(self.query('!S')[0]) / 100.\n except:\n pass\n else:\n if self.logger:\n self.logger.debug(' Sky Temperature Query = {:.1f}'.format(value))\n values.append(value)\n if len(values) >= n - 1:\n self.sky_temp = np.median(values) * u.Celsius\n if self.logger:\n self.logger.info(' Sky Temperature = {:.1f}'.format(self.sky_temp))\n else:\n self.sky_temp = None\n if self.logger:\n self.logger.info(' Failed to Read Sky Temperature')\n return self.sky_temp", "metadata": "root.AAGCloudSensor.get_sky_temperature", "header": "['class', 'AAGCloudSensor', '(', 'WeatherStation', ')', ':', '___EOS___']", "index": 379 }, { "content": " def get_values(self, n=5):\n '''\n Populates the self.internal_voltage, self.LDR_resistance, and\n self.rain_sensor_temp properties\n\n Calculation is taken from Rs232_Comms_v100.pdf section \"Converting values\n sent by the device to meaningful units\" items 4, 6, 7.\n '''\n if self.logger:\n self.logger.info('Getting \"values\"')\n ZenerConstant = 3\n LDRPullupResistance = 56.\n RainPullUpResistance = 1\n RainResAt25 = 1\n RainBeta = 3450.\n ABSZERO = 273.15\n internal_voltages = []\n LDR_resistances = []\n rain_sensor_temps = []\n for i in range(0, n):\n responses = self.query('!C')\n try:\n internal_voltage = 1023 * ZenerConstant / float(responses[0])\n internal_voltages.append(internal_voltage)\n LDR_resistance = LDRPullupResistance / ((1023. / float(responses[1])) - 1.)\n LDR_resistances.append(LDR_resistance)\n r = np.log(RainPullUpResistance / ((1023. / float(responses[2])) - 1.) / RainResAt25)\n rain_sensor_temp = 1. / (r / RainBeta + 1. / (ABSZERO + 25.)) - ABSZERO\n rain_sensor_temps.append(rain_sensor_temp)\n except:\n pass\n\n # Median Results\n if len(internal_voltages) >= n - 1:\n self.internal_voltage = np.median(internal_voltages) * u.volt\n if self.logger:\n self.logger.info(' Internal Voltage = {:.2f}'.format(self.internal_voltage))\n else:\n self.internal_voltage = None\n if self.logger:\n self.logger.info(' Failed to read Internal Voltage')\n\n if len(LDR_resistances) >= n - 1:\n self.LDR_resistance = np.median(LDR_resistances) * u.kohm\n if self.logger:\n self.logger.info(' LDR Resistance = {:.0f}'.format(self.LDR_resistance))\n else:\n self.LDR_resistance = None\n if self.logger:\n self.logger.info(' Failed to read LDR Resistance')\n\n if len(rain_sensor_temps) >= n - 1:\n self.rain_sensor_temp = np.median(rain_sensor_temps) * u.Celsius\n if self.logger:\n self.logger.info(' Rain Sensor Temp = {:.1f}'.format(self.rain_sensor_temp))\n else:\n self.rain_sensor_temp = None\n if self.logger:\n self.logger.info(' Failed to read Rain Sensor Temp')\n\n return (self.internal_voltage, self.LDR_resistance, self.rain_sensor_temp)", "metadata": "root.AAGCloudSensor.get_values", "header": "['class', 'AAGCloudSensor', '(', 'WeatherStation', ')', ':', '___EOS___']", "index": 411 }, { "content": " def get_rain_frequency(self, n=5):\n '''\n Populates the self.rain_frequency property\n '''\n if self.logger:\n self.logger.info('Getting rain frequency')\n values = []\n for i in range(0, n):\n try:\n value = float(self.query('!E')[0]) * 100. / 1023.\n if self.logger:\n self.logger.debug(' Rain Freq Query = {:.1f}'.format(value))\n values.append(value)\n except:\n pass\n if len(values) >= n - 1:\n self.rain_frequency = np.median(values)\n if self.logger:\n self.logger.info(' Rain Frequency = {:.1f}'.format(self.rain_frequency))\n else:\n self.rain_frequency = None\n if self.logger:\n self.logger.info(' Failed to read Rain Frequency')\n return self.rain_frequency", "metadata": "root.AAGCloudSensor.get_rain_frequency", "header": "['class', 'AAGCloudSensor', '(', 'WeatherStation', ')', ':', '___EOS___']", "index": 473 }, { "content": " def get_PWM(self):\n '''\n Populates the self.PWM property.\n\n Calculation is taken from Rs232_Comms_v100.pdf section \"Converting values\n sent by the device to meaningful units\" item 3.\n '''\n if self.logger:\n self.logger.info('Getting PWM value')\n try:\n value = self.query('!Q')[0]\n self.PWM = float(value) * 100. / 1023.\n if self.logger:\n self.logger.info(' PWM Value = {:.1f}'.format(self.PWM))\n except:\n self.PWM = None\n if self.logger:\n self.logger.info(' Failed to read PWM Value')\n return self.PWM", "metadata": "root.AAGCloudSensor.get_PWM", "header": "['class', 'AAGCloudSensor', '(', 'WeatherStation', ')', ':', '___EOS___']", "index": 498 }, { "content": " def wind_speed_enabled(self):\n '''\n Method returns true or false depending on whether the device supports\n wind speed measurements.\n '''\n if self.logger:\n self.logger.debug('Checking if wind speed is enabled')\n try:\n enabled = bool(self.query('v!')[0])\n if enabled:\n if self.logger:\n self.logger.debug(' Anemometer enabled')\n else:\n if self.logger:\n self.logger.debug(' Anemometer not enabled')\n except:\n enabled = None\n return enabled", "metadata": "root.AAGCloudSensor.wind_speed_enabled", "header": "['class', 'AAGCloudSensor', '(', 'WeatherStation', ')', ':', '___EOS___']", "index": 601 }, { "content": " def update_weather(self, update_mongo=True):\n '''\n '''\n data = {}\n data['Device Name'] = self.name\n data['Firmware Version'] = self.firmware_version\n data['Device Serial Number'] = self.serial_number\n if self.get_sky_temperature():\n data['Sky Temperature (C)'] = self.sky_temp.value\n if self.get_ambient_temperature():\n data['Ambient Temperature (C)'] = self.ambient_temp.value\n self.get_values()\n if self.internal_voltage:\n data['Internal Voltage (V)'] = self.internal_voltage.value\n if self.LDR_resistance:\n data['LDR Resistance (ohm)'] = self.LDR_resistance.value\n if self.rain_sensor_temp:\n data['Rain Sensor Temp (C)'] = self.rain_sensor_temp.value\n if self.get_rain_frequency():\n data['Rain Frequency'] = self.rain_frequency\n if self.get_PWM():\n data['PWM Value'] = self.PWM\n if self.get_errors():\n data['Errors'] = self.errors\n# if self.get_switch():\n# data['Switch Status'] = self.switch\n if self.get_wind_speed():\n data['Wind Speed (km/h)'] = self.wind_speed.value\n # Make Safety Decision\n self.safe_dict = make_safety_decision(self.cfg, logger=self.logger)\n data['Safe'] = self.safe_dict['Safe']\n data['Sky Condition'] = self.safe_dict['Sky']\n data['Wind Condition'] = self.safe_dict['Wind']\n data['Gust Condition'] = self.safe_dict['Gust']\n data['Rain Condition'] = self.safe_dict['Rain']\n\n if update_mongo:\n try:\n # Connect to sensors collection\n db = PanMongo()\n if self.logger:\n self.logger.info('Connected to mongo')\n\n db.insert_current('weather', data)\n\n if self.logger:\n self.logger.info(' Updated current status document')\n except:\n if self.logger:\n self.logger.warning('Failed to update mongo database')\n else:\n print('{:>26s}: {}'.format('Date and Time',\n dt.utcnow().strftime('%Y/%m/%d %H:%M:%S')))\n for key in ['Ambient Temperature (C)', 'Sky Temperature (C)',\n 'PWM Value', 'Rain Frequency', 'Safe']:\n if key in data.keys():\n print('{:>26s}: {}'.format(key, data[key]))\n else:\n print('{:>26s}: {}'.format(key, 'no data'))\n print('')\n\n return self.safe", "metadata": "root.AAGCloudSensor.update_weather", "header": "['class', 'AAGCloudSensor', '(', 'WeatherStation', ')', ':', '___EOS___']", "index": 650 }, { "content": "def plot_weather(date_string):\n import matplotlib as mpl\n mpl.use('Agg')\n from matplotlib import pyplot as plt\n from matplotlib.dates import HourLocator, MinuteLocator, DateFormatter\n plt.ioff()\n\n dpi = 100\n plt.figure(figsize=(16, 9), dpi=dpi)\n\n hours = HourLocator(byhour=range(24), interval=1)\n hours_fmt = DateFormatter('%H')\n mins = MinuteLocator(range(0, 60, 15))\n mins_fmt = DateFormatter('%H:%M')\n\n if not date_string:\n today = True\n date = dt.utcnow()\n date_string = date.strftime('%Y%m%dUT')\n else:\n today = False\n date = dt.strptime('{} 23:59:59'.format(date_string), '%Y%m%dUT %H:%M:%S')\n\n start = dt(date.year, date.month, date.day, 0, 0, 0, 0)\n end = dt(date.year, date.month, date.day, 23, 59, 59, 0)\n\n # ------------------------------------------------------------------------\n # determine sunrise and sunset times\n # ------------------------------------------------------------------------\n cfg = load_config()['location']\n loc = EarthLocation(\n lat=cfg['latitude'],\n lon=cfg['longitude'],\n height=cfg['elevation'],\n )\n obs = Observer(location=loc, name='PANOPTES', timezone=cfg['timezone'])\n\n sunset = obs.sun_set_time(Time(start), which='next').datetime\n evening_civil_twilight = obs.twilight_evening_civil(Time(start), which='next').datetime\n evening_nautical_twilight = obs.twilight_evening_nautical(Time(start), which='next').datetime\n evening_astronomical_twilight = obs.twilight_evening_astronomical(Time(start), which='next').datetime\n morning_astronomical_twilight = obs.twilight_morning_astronomical(Time(start), which='next').datetime\n morning_nautical_twilight = obs.twilight_morning_nautical(Time(start), which='next').datetime\n morning_civil_twilight = obs.twilight_morning_civil(Time(start), which='next').datetime\n sunrise = obs.sun_rise_time(Time(start), which='next').datetime\n\n print('start: {}'.format(Time(start)))\n print(obs.is_night(Time(start)))\n print('sunset: {}'.format(sunset))\n print('evening_civil_twilight: {}'.format(evening_civil_twilight))\n print('evening_nautical_twilight: {}'.format(evening_nautical_twilight))\n print('evening_astronomical_twilight: {}'.format(evening_astronomical_twilight))\n print('morning_astronomical_twilight: {}'.format(morning_astronomical_twilight))\n print('morning_nautical_twilight: {}'.format(morning_nautical_twilight))\n print('morning_civil_twilight: {}'.format(morning_civil_twilight))\n\n # -------------------------------------------------------------------------\n # Plot a day's weather\n # -------------------------------------------------------------------------\n plot_positions = [([0.000, 0.835, 0.700, 0.170], [0.720, 0.835, 0.280, 0.170]),\n ([0.000, 0.635, 0.700, 0.170], [0.720, 0.635, 0.280, 0.170]),\n ([0.000, 0.450, 0.700, 0.170], [0.720, 0.450, 0.280, 0.170]),\n ([0.000, 0.265, 0.700, 0.170], [0.720, 0.265, 0.280, 0.170]),\n ([0.000, 0.185, 0.700, 0.065], [0.720, 0.185, 0.280, 0.065]),\n ([0.000, 0.000, 0.700, 0.170], [0.720, 0.000, 0.280, 0.170]),\n ]\n\n # Connect to sensors collection\n db = PanMongo()\n entries = [x for x in db.weather.find({'date': {'$gt': start, '$lt': end}}).sort([('date', pymongo.ASCENDING)])]\n if today:\n current_values = [x for x in db.current.find({\"type\": \"weather\"})][0]\n else:\n current_values = None\n\n print('Plot Ambient Temperature vs. Time')\n # -------------------------------------------------------------------------\n # Plot Ambient Temperature vs. Time\n t_axes = plt.axes(plot_positions[0][0])\n if today:\n time_title = date\n else:\n time_title = end\n plt.title('Weather for {} at {}'.format(date_string, time_title.strftime('%H:%M:%S UT')))\n amb_temp = [x['data']['Ambient Temperature (C)']\n for x in entries\n if 'Ambient Temperature (C)' in x['data'].keys()]\n time = [x['date'] for x in entries\n if 'Ambient Temperature (C)' in x['data'].keys()]\n t_axes.plot_date(time, amb_temp, 'ko',\n markersize=2, markeredgewidth=0,\n drawstyle=\"default\")\n try:\n max_temp = max(amb_temp)\n min_temp = min(amb_temp)\n label_time = end - tdelta(0, 7 * 60 * 60)\n label_temp = 28\n t_axes.annotate('Low: {:4.1f} $^\\circ$C, High: {:4.1f} $^\\circ$C'.format(\n min_temp, max_temp),\n xy=(label_time, max_temp),\n xytext=(label_time, label_temp),\n size=16,\n )\n except:\n pass\n plt.ylabel(\"Ambient Temp. (C)\")\n plt.grid(which='major', color='k')\n plt.yticks(range(-100, 100, 10))\n plt.xlim(start, end)\n plt.ylim(-5, 35)\n t_axes.xaxis.set_major_locator(hours)\n t_axes.xaxis.set_major_formatter(hours_fmt)\n\n if obs.is_night(Time(start)):\n plt.axvspan(start, morning_astronomical_twilight, ymin=0, ymax=1, color='blue', alpha=0.5)\n plt.axvspan(morning_astronomical_twilight, morning_nautical_twilight, ymin=0, ymax=1, color='blue', alpha=0.3)\n plt.axvspan(morning_nautical_twilight, morning_civil_twilight, ymin=0, ymax=1, color='blue', alpha=0.2)\n plt.axvspan(morning_civil_twilight, sunrise, ymin=0, ymax=1, color='blue', alpha=0.1)\n plt.axvspan(sunset, evening_civil_twilight, ymin=0, ymax=1, color='blue', alpha=0.1)\n plt.axvspan(evening_civil_twilight, evening_nautical_twilight, ymin=0, ymax=1, color='blue', alpha=0.2)\n plt.axvspan(evening_nautical_twilight, evening_astronomical_twilight, ymin=0, ymax=1, color='blue', alpha=0.3)\n plt.axvspan(evening_astronomical_twilight, end, ymin=0, ymax=1, color='blue', alpha=0.5)\n else:\n plt.axvspan(sunset, evening_civil_twilight, ymin=0, ymax=1, color='blue', alpha=0.1)\n plt.axvspan(evening_civil_twilight, evening_nautical_twilight, ymin=0, ymax=1, color='blue', alpha=0.2)\n plt.axvspan(evening_nautical_twilight, evening_astronomical_twilight, ymin=0, ymax=1, color='blue', alpha=0.3)\n plt.axvspan(evening_astronomical_twilight, morning_astronomical_twilight,\n ymin=0, ymax=1, color='blue', alpha=0.5)\n plt.axvspan(morning_astronomical_twilight, morning_nautical_twilight, ymin=0, ymax=1, color='blue', alpha=0.3)\n plt.axvspan(morning_nautical_twilight, morning_civil_twilight, ymin=0, ymax=1, color='blue', alpha=0.2)\n plt.axvspan(morning_civil_twilight, sunrise, ymin=0, ymax=1, color='blue', alpha=0.1)\n\n tlh_axes = plt.axes(plot_positions[0][1])\n plt.title('Last Hour')\n tlh_axes.plot_date(time, amb_temp, 'ko',\n markersize=4, markeredgewidth=0,\n drawstyle=\"default\")\n try:\n current_amb_temp = current_values['data']['Ambient Temperature (C)']\n current_time = current_values['date']\n label_time = current_time - tdelta(0, 30 * 60)\n label_temp = 28 # current_amb_temp + 7\n tlh_axes.annotate('Currently: {:.1f} $^\\circ$C'.format(current_amb_temp),\n xy=(current_time, current_amb_temp),\n xytext=(label_time, label_temp),\n size=16,\n )\n except:\n pass\n plt.grid(which='major', color='k')\n plt.yticks(range(-100, 100, 10))\n tlh_axes.xaxis.set_major_locator(mins)\n tlh_axes.xaxis.set_major_formatter(mins_fmt)\n tlh_axes.yaxis.set_ticklabels([])\n plt.xlim(date - tdelta(0, 60 * 60), date + tdelta(0, 5 * 60))\n plt.ylim(-5, 35)\n\n print('Plot Temperature Difference vs. Time')\n # -------------------------------------------------------------------------\n # Plot Temperature Difference vs. Time\n td_axes = plt.axes(plot_positions[1][0])\n temp_diff = [x['data']['Sky Temperature (C)'] - x['data']['Ambient Temperature (C)']\n for x in entries\n if 'Sky Temperature (C)' in x['data'].keys() and 'Ambient Temperature (C)' in x['data'].keys() and 'Sky Condition' in x['data'].keys()]\n time = [x['date'] for x in entries\n if 'Sky Temperature (C)' in x['data'].keys() and 'Ambient Temperature (C)' in x['data'].keys() and 'Sky Condition' in x['data'].keys()]\n sky_condition = [x['data']['Sky Condition']\n for x in entries\n if 'Sky Temperature (C)' in x['data'].keys() and 'Ambient Temperature (C)' in x['data'].keys() and 'Sky Condition' in x['data'].keys()]\n td_axes.plot_date(time, temp_diff, 'ko-', label='Cloudiness',\n markersize=2, markeredgewidth=0,\n drawstyle=\"default\")\n td_axes.fill_between(time, -60, temp_diff, where=np.array(sky_condition) == 'Clear',\n color='green', alpha=0.5)\n td_axes.fill_between(time, -60, temp_diff, where=np.array(sky_condition) == 'Cloudy',\n color='yellow', alpha=0.5)\n td_axes.fill_between(time, -60, temp_diff, where=np.array(sky_condition) == 'Very Cloudy',\n color='red', alpha=0.5)\n plt.ylabel(\"Cloudiness\")\n plt.grid(which='major', color='k')\n plt.yticks(range(-100, 100, 10))\n plt.xlim(start, end)\n plt.ylim(-60, 10)\n td_axes.xaxis.set_major_locator(hours)\n td_axes.xaxis.set_major_formatter(hours_fmt)\n td_axes.xaxis.set_ticklabels([])\n\n tdlh_axes = plt.axes(plot_positions[1][1])\n tdlh_axes.plot_date(time, temp_diff, 'ko-', label='Cloudiness',\n markersize=4, markeredgewidth=0,\n drawstyle=\"default\")\n tdlh_axes.fill_between(time, -60, temp_diff, where=np.array(sky_condition) == 'Clear',\n color='green', alpha=0.5)\n tdlh_axes.fill_between(time, -60, temp_diff, where=np.array(sky_condition) == 'Cloudy',\n color='yellow', alpha=0.5)\n tdlh_axes.fill_between(time, -60, temp_diff, where=np.array(sky_condition) == 'Very Cloudy',\n color='red', alpha=0.5)\n plt.grid(which='major', color='k')\n plt.yticks(range(-100, 100, 10))\n plt.xlim(date - tdelta(0, 60 * 60), date + tdelta(0, 5 * 60))\n plt.ylim(-60, 10)\n tdlh_axes.xaxis.set_major_locator(mins)\n tdlh_axes.xaxis.set_major_formatter(mins_fmt)\n tdlh_axes.xaxis.set_ticklabels([])\n tdlh_axes.yaxis.set_ticklabels([])\n\n print('Plot Wind Speed vs. Time')\n # -------------------------------------------------------------------------\n # Plot Wind Speed vs. Time\n w_axes = plt.axes(plot_positions[2][0])\n wind_speed = [x['data']['Wind Speed (km/h)']\n for x in entries\n if 'Wind Speed (km/h)' in x['data'].keys() and\n 'Wind Condition' in x['data'].keys() and\n 'Gust Condition' in x['data'].keys()]\n wind_mavg = movingaverage(wind_speed, 10)\n trans = {'Calm': 0, 'Windy': 1, 'Gusty': 1, 'Very Windy': 10, 'Very Gusty': 10}\n wind_condition = [trans[x['data']['Wind Condition']] + trans[x['data']['Gust Condition']]\n for x in entries\n if 'Wind Speed (km/h)' in x['data'].keys() and\n 'Wind Condition' in x['data'].keys() and\n 'Gust Condition' in x['data'].keys()]\n time = [x['date'] for x in entries\n if 'Wind Speed (km/h)' in x['data'].keys() and\n 'Wind Condition' in x['data'].keys() and\n 'Gust Condition' in x['data'].keys()]\n w_axes.plot_date(time, wind_speed, 'ko', alpha=0.5,\n markersize=2, markeredgewidth=0,\n drawstyle=\"default\")\n w_axes.plot_date(time, wind_mavg, 'b-',\n label='Wind Speed',\n markersize=3, markeredgewidth=0,\n linewidth=3, alpha=0.5,\n drawstyle=\"default\")\n w_axes.plot_date([start, end], [0, 0], 'k-', ms=1)\n w_axes.fill_between(time, -5, wind_speed,\n where=np.array(wind_condition) == 0,\n color='green', alpha=0.5)\n w_axes.fill_between(time, -5, wind_speed,\n where=(np.array(wind_condition) > 0) & (np.array(wind_condition) < 10),\n color='yellow', alpha=0.5)\n w_axes.fill_between(time, -5, wind_speed,\n where=np.array(wind_condition) > 10,\n color='red', alpha=0.5)\n try:\n max_wind = max(wind_speed)\n label_time = end - tdelta(0, 6 * 60 * 60)\n label_wind = 61\n w_axes.annotate('Max Gust: {:.1f} (km/h)'.format(max_wind),\n xy=(label_time, max_wind),\n xytext=(label_time, label_wind),\n size=16,\n )\n except:\n pass\n plt.ylabel(\"Wind (km/h)\")\n plt.grid(which='major', color='k')\n plt.yticks(range(-100, 100, 10))\n plt.xlim(start, end)\n wind_max = max([45, np.ceil(max(wind_speed) / 5.) * 5.])\n plt.ylim(0, 75)\n w_axes.xaxis.set_major_locator(hours)\n w_axes.xaxis.set_major_formatter(hours_fmt)\n w_axes.xaxis.set_ticklabels([])\n\n wlh_axes = plt.axes(plot_positions[2][1])\n wlh_axes.plot_date(time, wind_speed, 'ko', alpha=0.7,\n markersize=4, markeredgewidth=0,\n drawstyle=\"default\")\n wlh_axes.plot_date(time, wind_mavg, 'b-',\n label='Wind Speed',\n markersize=2, markeredgewidth=0,\n linewidth=3, alpha=0.5,\n drawstyle=\"default\")\n wlh_axes.plot_date([start, end], [0, 0], 'k-', ms=1)\n wlh_axes.fill_between(time, -5, wind_speed,\n where=np.array(wind_condition) == 0,\n color='green', alpha=0.5)\n wlh_axes.fill_between(time, -5, wind_speed,\n where=(np.array(wind_condition) > 0) & (np.array(wind_condition) < 10),\n color='yellow', alpha=0.5)\n wlh_axes.fill_between(time, -5, wind_speed,\n where=np.array(wind_condition) > 10,\n color='red', alpha=0.5)\n try:\n current_wind = current_values['data']['Wind Speed (km/h)']\n current_time = current_values['date']\n label_time = current_time - tdelta(0, 30 * 60)\n label_wind = 61\n wlh_axes.annotate('Currently: {:.0f} km/h'.format(current_wind),\n xy=(current_time, current_wind),\n xytext=(label_time, label_wind),\n size=16,\n )\n except:\n pass\n plt.grid(which='major', color='k')\n plt.yticks(range(-100, 100, 10))\n plt.xlim(date - tdelta(0, 60 * 60), date + tdelta(0, 5 * 60))\n wind_max = max([45, np.ceil(max(wind_speed) / 5.) * 5.])\n plt.ylim(0, 75)\n wlh_axes.xaxis.set_major_locator(mins)\n wlh_axes.xaxis.set_major_formatter(mins_fmt)\n wlh_axes.xaxis.set_ticklabels([])\n wlh_axes.yaxis.set_ticklabels([])\n\n print('Plot Rain Frequency vs. Time')\n # -------------------------------------------------------------------------\n # Plot Rain Frequency vs. Time\n rf_axes = plt.axes(plot_positions[3][0])\n rf_value = [x['data']['Rain Frequency']\n for x in entries\n if 'Rain Frequency' in x['data'].keys() and\n 'Rain Condition' in x['data'].keys()]\n rain_condition = [x['data']['Rain Condition']\n for x in entries\n if 'Rain Frequency' in x['data'].keys() and\n 'Rain Condition' in x['data'].keys()]\n time = [x['date'] for x in entries\n if 'Rain Frequency' in x['data'].keys() and\n 'Rain Condition' in x['data'].keys()]\n rf_axes.plot_date(time, rf_value, 'ko-', label='Rain',\n markersize=2, markeredgewidth=0,\n drawstyle=\"default\")\n rf_axes.fill_between(time, 0, rf_value, where=np.array(rain_condition) == 'Dry',\n color='green', alpha=0.5)\n rf_axes.fill_between(time, 0, rf_value, where=np.array(rain_condition) == 'Rain',\n color='red', alpha=0.5)\n plt.ylabel(\"Rain Sensor\")\n plt.grid(which='major', color='k')\n plt.ylim(120, 275)\n plt.xlim(start, end)\n rf_axes.xaxis.set_major_locator(hours)\n rf_axes.xaxis.set_major_formatter(hours_fmt)\n rf_axes.xaxis.set_ticklabels([])\n rf_axes.yaxis.set_ticklabels([])\n\n rflh_axes = plt.axes(plot_positions[3][1])\n rflh_axes.plot_date(time, rf_value, 'ko-', label='Rain',\n markersize=4, markeredgewidth=0,\n drawstyle=\"default\")\n rflh_axes.fill_between(time, 0, rf_value, where=np.array(rain_condition) == 'Dry',\n color='green', alpha=0.5)\n rflh_axes.fill_between(time, 0, rf_value, where=np.array(rain_condition) == 'Rain',\n color='red', alpha=0.5)\n plt.grid(which='major', color='k')\n plt.ylim(120, 275)\n plt.xlim(date - tdelta(0, 60 * 60), date + tdelta(0, 5 * 60))\n rflh_axes.xaxis.set_major_locator(mins)\n rflh_axes.xaxis.set_major_formatter(mins_fmt)\n rflh_axes.xaxis.set_ticklabels([])\n rflh_axes.yaxis.set_ticklabels([])\n\n print('Plot Safe/Unsafe vs. Time')\n # -------------------------------------------------------------------------\n # Safe/Unsafe vs. Time\n safe_axes = plt.axes(plot_positions[4][0])\n safe_value = [int(x['data']['Safe'])\n for x in entries\n if 'Safe' in x['data'].keys()]\n safe_time = [x['date'] for x in entries\n if 'Safe' in x['data'].keys()]\n safe_axes.plot_date(safe_time, safe_value, 'ko',\n markersize=2, markeredgewidth=0,\n drawstyle=\"default\")\n safe_axes.fill_between(safe_time, -1, safe_value, where=np.array(safe_value) == 1,\n color='green', alpha=0.5)\n safe_axes.fill_between(safe_time, -1, safe_value, where=np.array(safe_value) == 0,\n color='red', alpha=0.5)\n plt.ylabel(\"Safe\")\n plt.xlim(start, end)\n plt.ylim(-0.1, 1.1)\n plt.yticks([0, 1])\n plt.grid(which='major', color='k')\n safe_axes.xaxis.set_major_locator(hours)\n safe_axes.xaxis.set_major_formatter(hours_fmt)\n safe_axes.xaxis.set_ticklabels([])\n safe_axes.yaxis.set_ticklabels([])\n\n safelh_axes = plt.axes(plot_positions[4][1])\n safelh_axes.plot_date(safe_time, safe_value, 'ko-',\n markersize=4, markeredgewidth=0,\n drawstyle=\"default\")\n safelh_axes.fill_between(safe_time, -1, safe_value, where=np.array(safe_value) == 1,\n color='green', alpha=0.5)\n safelh_axes.fill_between(safe_time, -1, safe_value, where=np.array(safe_value) == 0,\n color='red', alpha=0.5)\n plt.ylim(-0.1, 1.1)\n plt.yticks([0, 1])\n plt.grid(which='major', color='k')\n plt.xlim(date - tdelta(0, 60 * 60), date + tdelta(0, 5 * 60))\n safelh_axes.xaxis.set_major_locator(mins)\n safelh_axes.xaxis.set_major_formatter(mins_fmt)\n safelh_axes.xaxis.set_ticklabels([])\n safelh_axes.yaxis.set_ticklabels([])\n\n print('Plot PWM Value vs. Time')\n # -------------------------------------------------------------------------\n # Plot PWM Value vs. Time\n pwm_axes = plt.axes(plot_positions[5][0])\n plt.ylabel(\"Heater (%)\")\n plt.ylim(-5, 105)\n plt.yticks([0, 25, 50, 75, 100])\n plt.xlim(start, end)\n plt.grid(which='major', color='k')\n rst_axes = pwm_axes.twinx()\n plt.ylim(-1, 21)\n plt.xlim(start, end)\n pwm_value = [x['data']['PWM Value']\n for x in entries\n if 'PWM Value' in x['data'].keys() and\n 'Rain Sensor Temp (C)' in x['data'].keys() and\n 'Ambient Temperature (C)' in x['data'].keys()]\n rst_delta = [x['data']['Rain Sensor Temp (C)'] - x['data']['Ambient Temperature (C)']\n for x in entries\n if 'PWM Value' in x['data'].keys() and\n 'Rain Sensor Temp (C)' in x['data'].keys() and\n 'Ambient Temperature (C)' in x['data'].keys()]\n time = [x['date'] for x in entries\n if 'PWM Value' in x['data'].keys() and\n 'Rain Sensor Temp (C)' in x['data'].keys() and\n 'Ambient Temperature (C)' in x['data'].keys()]\n rst_axes.plot_date(time, rst_delta, 'ro-', alpha=0.5,\n label='RST Delta (C)',\n markersize=2, markeredgewidth=0,\n drawstyle=\"default\")\n pwm_axes.plot_date(time, pwm_value, 'bo', label='Heater',\n markersize=2, markeredgewidth=0,\n drawstyle=\"default\")\n pwm_axes.xaxis.set_major_locator(hours)\n pwm_axes.xaxis.set_major_formatter(hours_fmt)\n\n pwmlh_axes = plt.axes(plot_positions[5][1])\n plt.ylim(-5, 105)\n plt.yticks([0, 25, 50, 75, 100])\n plt.xlim(date - tdelta(0, 60 * 60), date + tdelta(0, 5 * 60))\n plt.grid(which='major', color='k')\n rstlh_axes = pwmlh_axes.twinx()\n plt.ylim(-1, 21)\n plt.xlim(date - tdelta(0, 60 * 60), date + tdelta(0, 5 * 60))\n rstlh_axes.plot_date(time, rst_delta, 'ro-', alpha=0.5,\n label='RST Delta (C)',\n markersize=4, markeredgewidth=0,\n drawstyle=\"default\")\n rstlh_axes.xaxis.set_ticklabels([])\n rstlh_axes.yaxis.set_ticklabels([])\n pwmlh_axes.plot_date(time, pwm_value, 'bo', label='Heater',\n markersize=4, markeredgewidth=0,\n drawstyle=\"default\")\n pwmlh_axes.xaxis.set_major_locator(mins)\n pwmlh_axes.xaxis.set_major_formatter(mins_fmt)\n pwmlh_axes.yaxis.set_ticklabels([])\n\n # -------------------------------------------------------------------------\n # Plot Brightness vs. Time\n# ldr_axes = plt.axes(plot_positions[3][0])\n# max_ldr = 28587999.99999969\n# ldr_value = [x['data']['LDR Resistance (ohm)']\\\n# for x in entries\\\n# if 'LDR Resistance (ohm)' in x['data'].keys()]\n# brightness = [10.**(2. - 2.*x/max_ldr) for x in ldr_value]\n# time = [x['date'] for x in entries\\\n# if 'LDR Resistance (ohm)' in x['data'].keys()]\n# ldr_axes.plot_date(time, brightness, 'ko',\\\n# markersize=2, markeredgewidth=0,\\\n# drawstyle=\"default\")\n# plt.ylabel(\"Brightness (%)\")\n# plt.yticks(range(-100,100,10))\n# plt.ylim(-5,105)\n# plt.grid(which='major', color='k')\n# ldr_axes.xaxis.set_major_locator(hours)\n# ldr_axes.xaxis.set_major_formatter(hours_fmt)\n# plt.xlim(start, end)\n#\n# if obs.is_night(start):\n# plt.axvspan(start, morning_astronomical_twilight, ymin=0, ymax=1, color='blue', alpha=0.5)\n# plt.axvspan(morning_astronomical_twilight, morning_nautical_twilight, ymin=0, ymax=1, color='blue', alpha=0.3)\n# plt.axvspan(morning_nautical_twilight, morning_civil_twilight, ymin=0, ymax=1, color='blue', alpha=0.2)\n# plt.axvspan(morning_civil_twilight, sunrise, ymin=0, ymax=1, color='blue', alpha=0.1)\n# plt.axvspan(sunset, evening_civil_twilight, ymin=0, ymax=1, color='blue', alpha=0.1)\n# plt.axvspan(evening_civil_twilight, evening_nautical_twilight, ymin=0, ymax=1, color='blue', alpha=0.2)\n# plt.axvspan(evening_nautical_twilight, evening_astronomical_twilight, ymin=0, ymax=1, color='blue', alpha=0.3)\n# plt.axvspan(evening_astronomical_twilight, end, ymin=0, ymax=1, color='blue', alpha=0.5)\n# else:\n# plt.axvspan(sunset, evening_civil_twilight, ymin=0, ymax=1, color='blue', alpha=0.1)\n# plt.axvspan(evening_civil_twilight, evening_nautical_twilight, ymin=0, ymax=1, color='blue', alpha=0.2)\n# plt.axvspan(evening_nautical_twilight, evening_astronomical_twilight, ymin=0, ymax=1, color='blue', alpha=0.3)\n# plt.axvspan(evening_astronomical_twilight, morning_astronomical_twilight, ymin=0, ymax=1, color='blue', alpha=0.5)\n# plt.axvspan(morning_astronomical_twilight, morning_nautical_twilight, ymin=0, ymax=1, color='blue', alpha=0.3)\n# plt.axvspan(morning_nautical_twilight, morning_civil_twilight, ymin=0, ymax=1, color='blue', alpha=0.2)\n# plt.axvspan(morning_civil_twilight, sunrise, ymin=0, ymax=1, color='blue', alpha=0.1)\n\n # -------------------------------------------------------------------------\n plot_filename = '{}.png'.format(date_string)\n plot_file = os.path.expanduser('/var/panoptes/weather_plots/{}'.format(plot_filename))\n print('Save Figure: {}'.format(plot_file))\n plt.savefig(plot_file, dpi=dpi, bbox_inches='tight', pad_inches=0.10)\n # Link\n today_name = '/var/panoptes/weather_plots/today.png'\n if os.path.exists(today_name):\n os.remove(today_name)\n\n os.symlink(plot_file, today_name)", "metadata": "root.plot_weather", "header": "['module', '___EOS___']", "index": 1022 } ]

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[ { "content": " def _process_items(self, person, items):\n self._getLogger().info('processing %s items' % len(items))\n for item in items:\n status = item.get('status', None)\n icaluid = item.get('iCalUID', None)\n start_date = dateutil.parser.parse(item['start']['dateTime']) if 'start' in item and 'dateTime' in item['start'] else None\n end_date = dateutil.parser.parse(item['end']['dateTime']) if 'end' in item and 'dateTime' in item['end'] else None\n if not all([start_date, end_date, status, icaluid]):\n self._getLogger().error('invalid start / end date / status / iCalUID')\n elif status == 'cancelled':\n res = Event.objects.filter(icaluid=icaluid)\n if res.count() == 1:\n self._getLogger().info('deleted event')\n res = res[0]\n res.cancelled=True\n res.save()\n else:\n self._getLogger().info('failed to delete event')\n else:\n # assuming timezone is always israel because I can't seem to save timezone to sqlite\n start_date = start_date.replace(tzinfo=None)\n end_date = end_date.replace(tzinfo=None)\n update_date = dateutil.parser.parse(item['updated']).replace(tzinfo=None) if 'updated' in item else None\n link = item['htmlLink'] if 'htmlLink' in item else None\n summary = item['summary'] if 'summary' in item else None\n description = item['description'] if 'description' in item else None\n # it seems that google never returns the color, although the colorId field is documented\n colorId = item['colorId'] if 'colorId' in item else None\n data = unicode(item)\n kwargs = {\n 'when':start_date, 'when_over':end_date, 'link':link, 'what':summary, 'why':description,\n 'update_date': update_date,\n }\n res = Event.objects.filter(icaluid=icaluid)\n event, created = Event.objects.get_or_create(icaluid=icaluid, defaults=kwargs)\n event.who.add(person)\n if created:\n self._getLogger().info('created new event')\n else:\n self._getLogger().info('updated event')", "metadata": "root.PersonsEventsScraper._process_items", "header": "['class', 'PersonsEventsScraper', '(', 'BaseScraper', ')', ':', '___EOS___']", "index": 41 } ]

[ { "span": "res ", "start_line": 74, "start_column": 16, "end_line": 74, "end_column": 19 } ]

[ { "span": "res ", "start_line": 51, "start_column": 16, "end_line": 51, "end_column": 19 } ]

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[ { "content": " def CalculateModelPredictions(self, inCoeffs, inDataCacheDictionary):\n x_in = inDataCacheDictionary['X'] # only need to perform this dictionary look-up once\n y_in = inDataCacheDictionary['Y'] # only need to perform this dictionary look-up once\n \n a = inCoeffs[0]\n b = inCoeffs[1]\n c = inCoeffs[2]\n\n try:\n temp = a*numpy.power(x_in,b)*numpy.power(y_in,c)\n return self.extendedVersionHandler.GetAdditionalModelPredictions(temp, inCoeffs, inDataCacheDictionary, self)\n except:\n return numpy.ones(len(inDataCacheDictionary['DependentData'])) * 1.0E300", "metadata": "root.SimpleEquation_01.CalculateModelPredictions", "header": "['class', 'SimpleEquation_01', '(', 'pyeq2', '.', 'Model_3D_BaseClass', '.', 'Model_3D_BaseClass', ')', ':', '___EOS___']", "index": 58 }, { "content": " def CalculateModelPredictions(self, inCoeffs, inDataCacheDictionary):\n x_in = inDataCacheDictionary['X'] # only need to perform this dictionary look-up once\n y_in = inDataCacheDictionary['Y'] # only need to perform this dictionary look-up once\n \n a = inCoeffs[0]\n b = inCoeffs[1]\n\n try:\n temp = x_in/(a+b*y_in)\n return self.extendedVersionHandler.GetAdditionalModelPredictions(temp, inCoeffs, inDataCacheDictionary, self)\n except:\n return numpy.ones(len(inDataCacheDictionary['DependentData'])) * 1.0E300", "metadata": "root.SimpleEquation_02.CalculateModelPredictions", "header": "['class', 'SimpleEquation_02', '(', 'pyeq2', '.', 'Model_3D_BaseClass', '.', 'Model_3D_BaseClass', ')', ':', '___EOS___']", "index": 110 }, { "content": " def CalculateModelPredictions(self, inCoeffs, inDataCacheDictionary):\n x_in = inDataCacheDictionary['X'] # only need to perform this dictionary look-up once\n y_in = inDataCacheDictionary['Y'] # only need to perform this dictionary look-up once\n \n a = inCoeffs[0]\n b = inCoeffs[1]\n\n try:\n temp = y_in/(a+b*x_in)\n return self.extendedVersionHandler.GetAdditionalModelPredictions(temp, inCoeffs, inDataCacheDictionary, self)\n except:\n return numpy.ones(len(inDataCacheDictionary['DependentData'])) * 1.0E300", "metadata": "root.SimpleEquation_03.CalculateModelPredictions", "header": "['class', 'SimpleEquation_03', '(', 'pyeq2', '.', 'Model_3D_BaseClass', '.', 'Model_3D_BaseClass', ')', ':', '___EOS___']", "index": 161 }, { "content": " def CalculateModelPredictions(self, inCoeffs, inDataCacheDictionary):\n x_in = inDataCacheDictionary['X'] # only need to perform this dictionary look-up once\n y_in = inDataCacheDictionary['Y'] # only need to perform this dictionary look-up once\n \n a = inCoeffs[0]\n b = inCoeffs[1]\n\n try:\n temp = a*numpy.power(x_in,b*y_in)\n return self.extendedVersionHandler.GetAdditionalModelPredictions(temp, inCoeffs, inDataCacheDictionary, self)\n except:\n return numpy.ones(len(inDataCacheDictionary['DependentData'])) * 1.0E300", "metadata": "root.SimpleEquation_04.CalculateModelPredictions", "header": "['class', 'SimpleEquation_04', '(', 'pyeq2', '.', 'Model_3D_BaseClass', '.', 'Model_3D_BaseClass', ')', ':', '___EOS___']", "index": 212 }, { "content": " def CalculateModelPredictions(self, inCoeffs, inDataCacheDictionary):\n x_in = inDataCacheDictionary['X'] # only need to perform this dictionary look-up once\n y_in = inDataCacheDictionary['Y'] # only need to perform this dictionary look-up once\n \n a = inCoeffs[0]\n b = inCoeffs[1]\n\n try:\n temp = a*numpy.power(y_in,b*x_in)\n return self.extendedVersionHandler.GetAdditionalModelPredictions(temp, inCoeffs, inDataCacheDictionary, self)\n except:\n return numpy.ones(len(inDataCacheDictionary['DependentData'])) * 1.0E300", "metadata": "root.SimpleEquation_05.CalculateModelPredictions", "header": "['class', 'SimpleEquation_05', '(', 'pyeq2', '.', 'Model_3D_BaseClass', '.', 'Model_3D_BaseClass', ')', ':', '___EOS___']", "index": 263 }, { "content": " def CalculateModelPredictions(self, inCoeffs, inDataCacheDictionary):\n x_in = inDataCacheDictionary['X'] # only need to perform this dictionary look-up once\n y_in = inDataCacheDictionary['Y'] # only need to perform this dictionary look-up once\n \n a = inCoeffs[0]\n b = inCoeffs[1]\n\n try:\n temp = a*numpy.power(x_in,b/y_in)\n return self.extendedVersionHandler.GetAdditionalModelPredictions(temp, inCoeffs, inDataCacheDictionary, self)\n except:\n return numpy.ones(len(inDataCacheDictionary['DependentData'])) * 1.0E300", "metadata": "root.SimpleEquation_06.CalculateModelPredictions", "header": "['class', 'SimpleEquation_06', '(', 'pyeq2', '.', 'Model_3D_BaseClass', '.', 'Model_3D_BaseClass', ')', ':', '___EOS___']", "index": 314 }, { "content": " def CalculateModelPredictions(self, inCoeffs, inDataCacheDictionary):\n x_in = inDataCacheDictionary['X'] # only need to perform this dictionary look-up once\n y_in = inDataCacheDictionary['Y'] # only need to perform this dictionary look-up once\n \n a = inCoeffs[0]\n b = inCoeffs[1]\n\n try:\n temp = a*numpy.power(y_in,b/x_in)\n return self.extendedVersionHandler.GetAdditionalModelPredictions(temp, inCoeffs, inDataCacheDictionary, self)\n except:\n return numpy.ones(len(inDataCacheDictionary['DependentData'])) * 1.0E300", "metadata": "root.SimpleEquation_07.CalculateModelPredictions", "header": "['class', 'SimpleEquation_07', '(', 'pyeq2', '.', 'Model_3D_BaseClass', '.', 'Model_3D_BaseClass', ')', ':', '___EOS___']", "index": 365 }, { "content": " def CalculateModelPredictions(self, inCoeffs, inDataCacheDictionary):\n x_in = inDataCacheDictionary['X'] # only need to perform this dictionary look-up once\n PowY_2 = inDataCacheDictionary['PowY_2.0'] # only need to perform this dictionary look-up once\n \n a = inCoeffs[0]\n b = inCoeffs[1]\n\n try:\n temp = a*x_in+b*PowY_2\n return self.extendedVersionHandler.GetAdditionalModelPredictions(temp, inCoeffs, inDataCacheDictionary, self)\n except:\n return numpy.ones(len(inDataCacheDictionary['DependentData'])) * 1.0E300", "metadata": "root.SimpleEquation_08.CalculateModelPredictions", "header": "['class', 'SimpleEquation_08', '(', 'pyeq2', '.', 'Model_3D_BaseClass', '.', 'Model_3D_BaseClass', ')', ':', '___EOS___']", "index": 416 }, { "content": " def CalculateModelPredictions(self, inCoeffs, inDataCacheDictionary):\n PowX_2 = inDataCacheDictionary['PowX_2.0'] # only need to perform this dictionary look-up once\n y_in = inDataCacheDictionary['Y'] # only need to perform this dictionary look-up once\n \n a = inCoeffs[0]\n b = inCoeffs[1]\n\n try:\n temp = a*y_in+b*PowX_2\n return self.extendedVersionHandler.GetAdditionalModelPredictions(temp, inCoeffs, inDataCacheDictionary, self)\n except:\n return numpy.ones(len(inDataCacheDictionary['DependentData'])) * 1.0E300", "metadata": "root.SimpleEquation_09.CalculateModelPredictions", "header": "['class', 'SimpleEquation_09', '(', 'pyeq2', '.', 'Model_3D_BaseClass', '.', 'Model_3D_BaseClass', ')', ':', '___EOS___']", "index": 467 }, { "content": " def CalculateModelPredictions(self, inCoeffs, inDataCacheDictionary):\n x_in = inDataCacheDictionary['X'] # only need to perform this dictionary look-up once\n PowY_2 = inDataCacheDictionary['PowY_2.0'] # only need to perform this dictionary look-up once\n \n a = inCoeffs[0]\n b = inCoeffs[1]\n\n try:\n temp = x_in/(a+b*PowY_2)\n return self.extendedVersionHandler.GetAdditionalModelPredictions(temp, inCoeffs, inDataCacheDictionary, self)\n except:\n return numpy.ones(len(inDataCacheDictionary['DependentData'])) * 1.0E300", "metadata": "root.SimpleEquation_10.CalculateModelPredictions", "header": "['class', 'SimpleEquation_10', '(', 'pyeq2', '.', 'Model_3D_BaseClass', '.', 'Model_3D_BaseClass', ')', ':', '___EOS___']", "index": 518 }, { "content": " def CalculateModelPredictions(self, inCoeffs, inDataCacheDictionary):\n PowX_2 = inDataCacheDictionary['PowX_2.0'] # only need to perform this dictionary look-up once\n y_in = inDataCacheDictionary['Y'] # only need to perform this dictionary look-up once\n \n a = inCoeffs[0]\n b = inCoeffs[1]\n\n try:\n temp = y_in/(a+b*PowX_2)\n return self.extendedVersionHandler.GetAdditionalModelPredictions(temp, inCoeffs, inDataCacheDictionary, self)\n except:\n return numpy.ones(len(inDataCacheDictionary['DependentData'])) * 1.0E300", "metadata": "root.SimpleEquation_11.CalculateModelPredictions", "header": "['class', 'SimpleEquation_11', '(', 'pyeq2', '.', 'Model_3D_BaseClass', '.', 'Model_3D_BaseClass', ')', ':', '___EOS___']", "index": 569 }, { "content": " def CalculateModelPredictions(self, inCoeffs, inDataCacheDictionary):\n x_in = inDataCacheDictionary['X'] # only need to perform this dictionary look-up once\n y_in = inDataCacheDictionary['Y'] # only need to perform this dictionary look-up once\n \n a = inCoeffs[0]\n b = inCoeffs[1]\n c = inCoeffs[2]\n\n try:\n temp = a*numpy.power(b,x_in)*numpy.power(y_in,c)\n return self.extendedVersionHandler.GetAdditionalModelPredictions(temp, inCoeffs, inDataCacheDictionary, self)\n except:\n return numpy.ones(len(inDataCacheDictionary['DependentData'])) * 1.0E300", "metadata": "root.SimpleEquation_12.CalculateModelPredictions", "header": "['class', 'SimpleEquation_12', '(', 'pyeq2', '.', 'Model_3D_BaseClass', '.', 'Model_3D_BaseClass', ')', ':', '___EOS___']", "index": 620 }, { "content": " def CalculateModelPredictions(self, inCoeffs, inDataCacheDictionary):\n x_in = inDataCacheDictionary['X'] # only need to perform this dictionary look-up once\n y_in = inDataCacheDictionary['Y'] # only need to perform this dictionary look-up once\n \n a = inCoeffs[0]\n b = inCoeffs[1]\n c = inCoeffs[2]\n\n try:\n temp = a*numpy.power(b,y_in)*numpy.power(x_in,c)\n return self.extendedVersionHandler.GetAdditionalModelPredictions(temp, inCoeffs, inDataCacheDictionary, self)\n except:\n return numpy.ones(len(inDataCacheDictionary['DependentData'])) * 1.0E300", "metadata": "root.SimpleEquation_13.CalculateModelPredictions", "header": "['class', 'SimpleEquation_13', '(', 'pyeq2', '.', 'Model_3D_BaseClass', '.', 'Model_3D_BaseClass', ')', ':', '___EOS___']", "index": 672 }, { "content": " def CalculateModelPredictions(self, inCoeffs, inDataCacheDictionary):\n XY = inDataCacheDictionary['XY'] # only need to perform this dictionary look-up once\n \n a = inCoeffs[0]\n b = inCoeffs[1]\n\n try:\n temp = a*numpy.power(XY,b)\n return self.extendedVersionHandler.GetAdditionalModelPredictions(temp, inCoeffs, inDataCacheDictionary, self)\n except:\n return numpy.ones(len(inDataCacheDictionary['DependentData'])) * 1.0E300", "metadata": "root.SimpleEquation_14.CalculateModelPredictions", "header": "['class', 'SimpleEquation_14', '(', 'pyeq2', '.', 'Model_3D_BaseClass', '.', 'Model_3D_BaseClass', ')', ':', '___EOS___']", "index": 726 }, { "content": " def CalculateModelPredictions(self, inCoeffs, inDataCacheDictionary):\n XOVERY = inDataCacheDictionary['XOVERY'] # only need to perform this dictionary look-up once\n \n a = inCoeffs[0]\n b = inCoeffs[1]\n\n try:\n temp = a*numpy.power(XOVERY,b)\n return self.extendedVersionHandler.GetAdditionalModelPredictions(temp, inCoeffs, inDataCacheDictionary, self)\n except:\n return numpy.ones(len(inDataCacheDictionary['DependentData'])) * 1.0E300", "metadata": "root.SimpleEquation_15.CalculateModelPredictions", "header": "['class', 'SimpleEquation_15', '(', 'pyeq2', '.', 'Model_3D_BaseClass', '.', 'Model_3D_BaseClass', ')', ':', '___EOS___']", "index": 778 }, { "content": " def CalculateModelPredictions(self, inCoeffs, inDataCacheDictionary):\n RecipX = inDataCacheDictionary['RecipX'] # only need to perform this dictionary look-up once\n y_in = inDataCacheDictionary['Y'] # only need to perform this dictionary look-up once\n \n a = inCoeffs[0]\n b = inCoeffs[1]\n c = inCoeffs[2]\n\n try:\n temp = a*(numpy.power(b,RecipX))*numpy.power(y_in,c)\n return self.extendedVersionHandler.GetAdditionalModelPredictions(temp, inCoeffs, inDataCacheDictionary, self)\n except:\n return numpy.ones(len(inDataCacheDictionary['DependentData'])) * 1.0E300", "metadata": "root.SimpleEquation_16.CalculateModelPredictions", "header": "['class', 'SimpleEquation_16', '(', 'pyeq2', '.', 'Model_3D_BaseClass', '.', 'Model_3D_BaseClass', ')', ':', '___EOS___']", "index": 828 }, { "content": " def CalculateModelPredictions(self, inCoeffs, inDataCacheDictionary):\n x_in = inDataCacheDictionary['X'] # only need to perform this dictionary look-up once\n RecipY = inDataCacheDictionary['RecipY'] # only need to perform this dictionary look-up once\n \n a = inCoeffs[0]\n b = inCoeffs[1]\n c = inCoeffs[2]\n\n try:\n temp = a*numpy.power(b,RecipY)*numpy.power(x_in,c)\n return self.extendedVersionHandler.GetAdditionalModelPredictions(temp, inCoeffs, inDataCacheDictionary, self)\n except:\n return numpy.ones(len(inDataCacheDictionary['DependentData'])) * 1.0E300", "metadata": "root.SimpleEquation_17.CalculateModelPredictions", "header": "['class', 'SimpleEquation_17', '(', 'pyeq2', '.', 'Model_3D_BaseClass', '.', 'Model_3D_BaseClass', ')', ':', '___EOS___']", "index": 880 }, { "content": " def CalculateModelPredictions(self, inCoeffs, inDataCacheDictionary):\n x_in = inDataCacheDictionary['X'] # only need to perform this dictionary look-up once\n y_in = inDataCacheDictionary['Y'] # only need to perform this dictionary look-up once\n \n a = inCoeffs[0]\n b = inCoeffs[1]\n c = inCoeffs[2]\n\n try:\n temp = a*numpy.power(x_in/b,c)*numpy.exp(y_in/b)\n return self.extendedVersionHandler.GetAdditionalModelPredictions(temp, inCoeffs, inDataCacheDictionary, self)\n except:\n return numpy.ones(len(inDataCacheDictionary['DependentData'])) * 1.0E300", "metadata": "root.SimpleEquation_18.CalculateModelPredictions", "header": "['class', 'SimpleEquation_18', '(', 'pyeq2', '.', 'Model_3D_BaseClass', '.', 'Model_3D_BaseClass', ')', ':', '___EOS___']", "index": 934 }, { "content": " def CalculateModelPredictions(self, inCoeffs, inDataCacheDictionary):\n x_in = inDataCacheDictionary['X'] # only need to perform this dictionary look-up once\n y_in = inDataCacheDictionary['Y'] # only need to perform this dictionary look-up once\n \n a = inCoeffs[0]\n b = inCoeffs[1]\n c = inCoeffs[2]\n\n try:\n temp = a*numpy.power(y_in/b,c)*numpy.exp(x_in/b)\n return self.extendedVersionHandler.GetAdditionalModelPredictions(temp, inCoeffs, inDataCacheDictionary, self)\n except:\n return numpy.ones(len(inDataCacheDictionary['DependentData'])) * 1.0E300", "metadata": "root.SimpleEquation_19.CalculateModelPredictions", "header": "['class', 'SimpleEquation_19', '(', 'pyeq2', '.', 'Model_3D_BaseClass', '.', 'Model_3D_BaseClass', ')', ':', '___EOS___']", "index": 988 }, { "content": " def CalculateModelPredictions(self, inCoeffs, inDataCacheDictionary):\n x_in = inDataCacheDictionary['X'] # only need to perform this dictionary look-up once\n y_in = inDataCacheDictionary['Y'] # only need to perform this dictionary look-up once\n \n a = inCoeffs[0]\n b = inCoeffs[1]\n c = inCoeffs[2]\n\n try:\n temp = a*numpy.power(x_in,b+c*y_in)\n return self.extendedVersionHandler.GetAdditionalModelPredictions(temp, inCoeffs, inDataCacheDictionary, self)\n except:\n return numpy.ones(len(inDataCacheDictionary['DependentData'])) * 1.0E300", "metadata": "root.SimpleEquation_20.CalculateModelPredictions", "header": "['class', 'SimpleEquation_20', '(', 'pyeq2', '.', 'Model_3D_BaseClass', '.', 'Model_3D_BaseClass', ')', ':', '___EOS___']", "index": 1040 }, { "content": " def CalculateModelPredictions(self, inCoeffs, inDataCacheDictionary):\n x_in = inDataCacheDictionary['X'] # only need to perform this dictionary look-up once\n y_in = inDataCacheDictionary['Y'] # only need to perform this dictionary look-up once\n \n a = inCoeffs[0]\n b = inCoeffs[1]\n c = inCoeffs[2]\n\n try:\n temp = a*numpy.power(y_in,b+c*x_in)\n return self.extendedVersionHandler.GetAdditionalModelPredictions(temp, inCoeffs, inDataCacheDictionary, self)\n except:\n return numpy.ones(len(inDataCacheDictionary['DependentData'])) * 1.0E300", "metadata": "root.SimpleEquation_21.CalculateModelPredictions", "header": "['class', 'SimpleEquation_21', '(', 'pyeq2', '.', 'Model_3D_BaseClass', '.', 'Model_3D_BaseClass', ')', ':', '___EOS___']", "index": 1092 }, { "content": " def CalculateModelPredictions(self, inCoeffs, inDataCacheDictionary):\n x_in = inDataCacheDictionary['X'] # only need to perform this dictionary look-up once\n y_in = inDataCacheDictionary['Y'] # only need to perform this dictionary look-up once\n \n a = inCoeffs[0]\n b = inCoeffs[1]\n c = inCoeffs[2]\n\n try:\n temp = a*numpy.power(x_in,b+c/y_in)\n return self.extendedVersionHandler.GetAdditionalModelPredictions(temp, inCoeffs, inDataCacheDictionary, self)\n except:\n return numpy.ones(len(inDataCacheDictionary['DependentData'])) * 1.0E300", "metadata": "root.SimpleEquation_22.CalculateModelPredictions", "header": "['class', 'SimpleEquation_22', '(', 'pyeq2', '.', 'Model_3D_BaseClass', '.', 'Model_3D_BaseClass', ')', ':', '___EOS___']", "index": 1144 }, { "content": " def CalculateModelPredictions(self, inCoeffs, inDataCacheDictionary):\n x_in = inDataCacheDictionary['X'] # only need to perform this dictionary look-up once\n y_in = inDataCacheDictionary['Y'] # only need to perform this dictionary look-up once\n \n a = inCoeffs[0]\n b = inCoeffs[1]\n c = inCoeffs[2]\n\n try:\n temp = a*numpy.power(y_in,b+c/x_in)\n return self.extendedVersionHandler.GetAdditionalModelPredictions(temp, inCoeffs, inDataCacheDictionary, self)\n except:\n return numpy.ones(len(inDataCacheDictionary['DependentData'])) * 1.0E300", "metadata": "root.SimpleEquation_23.CalculateModelPredictions", "header": "['class', 'SimpleEquation_23', '(', 'pyeq2', '.', 'Model_3D_BaseClass', '.', 'Model_3D_BaseClass', ')', ':', '___EOS___']", "index": 1196 }, { "content": " def CalculateModelPredictions(self, inCoeffs, inDataCacheDictionary):\n x_in = inDataCacheDictionary['X'] # only need to perform this dictionary look-up once\n LogY = inDataCacheDictionary['LogY'] # only need to perform this dictionary look-up once\n \n a = inCoeffs[0]\n b = inCoeffs[1]\n c = inCoeffs[2]\n\n try:\n temp = a*numpy.power(x_in,b+c*LogY)\n return self.extendedVersionHandler.GetAdditionalModelPredictions(temp, inCoeffs, inDataCacheDictionary, self)\n except:\n return numpy.ones(len(inDataCacheDictionary['DependentData'])) * 1.0E300", "metadata": "root.SimpleEquation_24.CalculateModelPredictions", "header": "['class', 'SimpleEquation_24', '(', 'pyeq2', '.', 'Model_3D_BaseClass', '.', 'Model_3D_BaseClass', ')', ':', '___EOS___']", "index": 1248 }, { "content": " def CalculateModelPredictions(self, inCoeffs, inDataCacheDictionary):\n LogX = inDataCacheDictionary['LogX'] # only need to perform this dictionary look-up once\n y_in = inDataCacheDictionary['Y'] # only need to perform this dictionary look-up once\n \n a = inCoeffs[0]\n b = inCoeffs[1]\n c = inCoeffs[2]\n\n try:\n temp = a*numpy.power(y_in,b+c*LogX)\n return self.extendedVersionHandler.GetAdditionalModelPredictions(temp, inCoeffs, inDataCacheDictionary, self)\n except:\n return numpy.ones(len(inDataCacheDictionary['DependentData'])) * 1.0E300", "metadata": "root.SimpleEquation_25.CalculateModelPredictions", "header": "['class', 'SimpleEquation_25', '(', 'pyeq2', '.', 'Model_3D_BaseClass', '.', 'Model_3D_BaseClass', ')', ':', '___EOS___']", "index": 1300 }, { "content": " def CalculateModelPredictions(self, inCoeffs, inDataCacheDictionary):\n LogX = inDataCacheDictionary['LogX'] # only need to perform this dictionary look-up once\n y_in = inDataCacheDictionary['Y'] # only need to perform this dictionary look-up once\n \n a = inCoeffs[0]\n b = inCoeffs[1]\n c = inCoeffs[2]\n\n try:\n temp = a*numpy.power(y_in,b+c/LogX)\n return self.extendedVersionHandler.GetAdditionalModelPredictions(temp, inCoeffs, inDataCacheDictionary, self)\n except:\n return numpy.ones(len(inDataCacheDictionary['DependentData'])) * 1.0E300", "metadata": "root.SimpleEquation_26.CalculateModelPredictions", "header": "['class', 'SimpleEquation_26', '(', 'pyeq2', '.', 'Model_3D_BaseClass', '.', 'Model_3D_BaseClass', ')', ':', '___EOS___']", "index": 1352 }, { "content": " def CalculateModelPredictions(self, inCoeffs, inDataCacheDictionary):\n x_in = inDataCacheDictionary['X'] # only need to perform this dictionary look-up once\n LogY = inDataCacheDictionary['LogY'] # only need to perform this dictionary look-up once\n \n a = inCoeffs[0]\n b = inCoeffs[1]\n c = inCoeffs[2]\n\n try:\n temp = a*numpy.power(x_in,b+c/LogY)\n return self.extendedVersionHandler.GetAdditionalModelPredictions(temp, inCoeffs, inDataCacheDictionary, self)\n except:\n return numpy.ones(len(inDataCacheDictionary['DependentData'])) * 1.0E300", "metadata": "root.SimpleEquation_27.CalculateModelPredictions", "header": "['class', 'SimpleEquation_27', '(', 'pyeq2', '.', 'Model_3D_BaseClass', '.', 'Model_3D_BaseClass', ')', ':', '___EOS___']", "index": 1404 }, { "content": " def CalculateModelPredictions(self, inCoeffs, inDataCacheDictionary):\n x_in = inDataCacheDictionary['X'] # only need to perform this dictionary look-up once\n PowY_2 = inDataCacheDictionary['PowY_2.0'] # only need to perform this dictionary look-up once\n \n a = inCoeffs[0]\n b = inCoeffs[1]\n c = inCoeffs[2]\n\n try:\n temp = a*numpy.exp(b*x_in+c*PowY_2)\n return self.extendedVersionHandler.GetAdditionalModelPredictions(temp, inCoeffs, inDataCacheDictionary, self)\n except:\n return numpy.ones(len(inDataCacheDictionary['DependentData'])) * 1.0E300", "metadata": "root.SimpleEquation_28.CalculateModelPredictions", "header": "['class', 'SimpleEquation_28', '(', 'pyeq2', '.', 'Model_3D_BaseClass', '.', 'Model_3D_BaseClass', ')', ':', '___EOS___']", "index": 1456 }, { "content": " def CalculateModelPredictions(self, inCoeffs, inDataCacheDictionary):\n PowX_2 = inDataCacheDictionary['PowX_2.0'] # only need to perform this dictionary look-up once\n y_in = inDataCacheDictionary['Y'] # only need to perform this dictionary look-up once\n \n a = inCoeffs[0]\n b = inCoeffs[1]\n c = inCoeffs[2]\n\n try:\n temp = a*numpy.exp(b*y_in+c*PowX_2)\n return self.extendedVersionHandler.GetAdditionalModelPredictions(temp, inCoeffs, inDataCacheDictionary, self)\n except:\n return numpy.ones(len(inDataCacheDictionary['DependentData'])) * 1.0E300", "metadata": "root.SimpleEquation_29.CalculateModelPredictions", "header": "['class', 'SimpleEquation_29', '(', 'pyeq2', '.', 'Model_3D_BaseClass', '.', 'Model_3D_BaseClass', ')', ':', '___EOS___']", "index": 1508 }, { "content": " def CalculateModelPredictions(self, inCoeffs, inDataCacheDictionary):\n x_in = inDataCacheDictionary['X'] # only need to perform this dictionary look-up once\n y_in = inDataCacheDictionary['Y'] # only need to perform this dictionary look-up once\n \n a = inCoeffs[0]\n b = inCoeffs[1]\n c = inCoeffs[2]\n\n try:\n temp = a*numpy.exp(b/x_in+c*y_in)\n return self.extendedVersionHandler.GetAdditionalModelPredictions(temp, inCoeffs, inDataCacheDictionary, self)\n except:\n return numpy.ones(len(inDataCacheDictionary['DependentData'])) * 1.0E300", "metadata": "root.SimpleEquation_30.CalculateModelPredictions", "header": "['class', 'SimpleEquation_30', '(', 'pyeq2', '.', 'Model_3D_BaseClass', '.', 'Model_3D_BaseClass', ')', ':', '___EOS___']", "index": 1560 }, { "content": " def CalculateModelPredictions(self, inCoeffs, inDataCacheDictionary):\n x_in = inDataCacheDictionary['X'] # only need to perform this dictionary look-up once\n y_in = inDataCacheDictionary['Y'] # only need to perform this dictionary look-up once\n \n a = inCoeffs[0]\n b = inCoeffs[1]\n c = inCoeffs[2]\n\n try:\n temp = a*numpy.exp(b/y_in+c*x_in)\n return self.extendedVersionHandler.GetAdditionalModelPredictions(temp, inCoeffs, inDataCacheDictionary, self)\n except:\n return numpy.ones(len(inDataCacheDictionary['DependentData'])) * 1.0E300", "metadata": "root.SimpleEquation_31.CalculateModelPredictions", "header": "['class', 'SimpleEquation_31', '(', 'pyeq2', '.', 'Model_3D_BaseClass', '.', 'Model_3D_BaseClass', ')', ':', '___EOS___']", "index": 1612 }, { "content": " def CalculateModelPredictions(self, inCoeffs, inDataCacheDictionary):\n x_in = inDataCacheDictionary['X'] # only need to perform this dictionary look-up once\n y_in = inDataCacheDictionary['Y'] # only need to perform this dictionary look-up once\n \n a = inCoeffs[0]\n b = inCoeffs[1]\n c = inCoeffs[2]\n\n try:\n temp = (a+x_in)/(b+c*y_in)\n return self.extendedVersionHandler.GetAdditionalModelPredictions(temp, inCoeffs, inDataCacheDictionary, self)\n except:\n return numpy.ones(len(inDataCacheDictionary['DependentData'])) * 1.0E300", "metadata": "root.SimpleEquation_32.CalculateModelPredictions", "header": "['class', 'SimpleEquation_32', '(', 'pyeq2', '.', 'Model_3D_BaseClass', '.', 'Model_3D_BaseClass', ')', ':', '___EOS___']", "index": 1664 }, { "content": " def CalculateModelPredictions(self, inCoeffs, inDataCacheDictionary):\n x_in = inDataCacheDictionary['X'] # only need to perform this dictionary look-up once\n y_in = inDataCacheDictionary['Y'] # only need to perform this dictionary look-up once\n \n a = inCoeffs[0]\n b = inCoeffs[1]\n c = inCoeffs[2]\n\n try:\n temp = (a+y_in)/(b+c*x_in)\n return self.extendedVersionHandler.GetAdditionalModelPredictions(temp, inCoeffs, inDataCacheDictionary, self)\n except:\n return numpy.ones(len(inDataCacheDictionary['DependentData'])) * 1.0E300", "metadata": "root.SimpleEquation_33.CalculateModelPredictions", "header": "['class', 'SimpleEquation_33', '(', 'pyeq2', '.', 'Model_3D_BaseClass', '.', 'Model_3D_BaseClass', ')', ':', '___EOS___']", "index": 1716 }, { "content": " def CalculateModelPredictions(self, inCoeffs, inDataCacheDictionary):\n x_in = inDataCacheDictionary['X'] # only need to perform this dictionary look-up once\n PowY_2 = inDataCacheDictionary['PowY_2.0'] # only need to perform this dictionary look-up once\n \n a = inCoeffs[0]\n b = inCoeffs[1]\n c = inCoeffs[2]\n\n try:\n temp = (a+x_in)/(b+c*PowY_2)\n return self.extendedVersionHandler.GetAdditionalModelPredictions(temp, inCoeffs, inDataCacheDictionary, self)\n except:\n return numpy.ones(len(inDataCacheDictionary['DependentData'])) * 1.0E300", "metadata": "root.SimpleEquation_34.CalculateModelPredictions", "header": "['class', 'SimpleEquation_34', '(', 'pyeq2', '.', 'Model_3D_BaseClass', '.', 'Model_3D_BaseClass', ')', ':', '___EOS___']", "index": 1768 }, { "content": " def CalculateModelPredictions(self, inCoeffs, inDataCacheDictionary):\n PowX_2 = inDataCacheDictionary['PowX_2.0'] # only need to perform this dictionary look-up once\n y_in = inDataCacheDictionary['Y'] # only need to perform this dictionary look-up once\n \n a = inCoeffs[0]\n b = inCoeffs[1]\n c = inCoeffs[2]\n\n try:\n temp = (a+y_in)/(b+c*PowX_2)\n return self.extendedVersionHandler.GetAdditionalModelPredictions(temp, inCoeffs, inDataCacheDictionary, self)\n except:\n return numpy.ones(len(inDataCacheDictionary['DependentData'])) * 1.0E300", "metadata": "root.SimpleEquation_35.CalculateModelPredictions", "header": "['class', 'SimpleEquation_35', '(', 'pyeq2', '.', 'Model_3D_BaseClass', '.', 'Model_3D_BaseClass', ')', ':', '___EOS___']", "index": 1820 }, { "content": " def CalculateModelPredictions(self, inCoeffs, inDataCacheDictionary):\n x_in = inDataCacheDictionary['X'] # only need to perform this dictionary look-up once\n y_in = inDataCacheDictionary['Y'] # only need to perform this dictionary look-up once\n \n a = inCoeffs[0]\n b = inCoeffs[1]\n c = inCoeffs[2]\n\n try:\n temp = a*(numpy.exp(b*x_in)-numpy.exp(c*y_in))\n return self.extendedVersionHandler.GetAdditionalModelPredictions(temp, inCoeffs, inDataCacheDictionary, self)\n except:\n return numpy.ones(len(inDataCacheDictionary['DependentData'])) * 1.0E300", "metadata": "root.SimpleEquation_36.CalculateModelPredictions", "header": "['class', 'SimpleEquation_36', '(', 'pyeq2', '.', 'Model_3D_BaseClass', '.', 'Model_3D_BaseClass', ')', ':', '___EOS___']", "index": 1872 }, { "content": " def CalculateModelPredictions(self, inCoeffs, inDataCacheDictionary):\n x_in = inDataCacheDictionary['X'] # only need to perform this dictionary look-up once\n y_in = inDataCacheDictionary['Y'] # only need to perform this dictionary look-up once\n \n a = inCoeffs[0]\n b = inCoeffs[1]\n c = inCoeffs[2]\n\n try:\n temp = a*numpy.power(x_in,b*numpy.power(y_in,c))\n return self.extendedVersionHandler.GetAdditionalModelPredictions(temp, inCoeffs, inDataCacheDictionary, self)\n except:\n return numpy.ones(len(inDataCacheDictionary['DependentData'])) * 1.0E300", "metadata": "root.SimpleEquation_37.CalculateModelPredictions", "header": "['class', 'SimpleEquation_37', '(', 'pyeq2', '.', 'Model_3D_BaseClass', '.', 'Model_3D_BaseClass', ')', ':', '___EOS___']", "index": 1924 }, { "content": " def CalculateModelPredictions(self, inCoeffs, inDataCacheDictionary):\n x_in = inDataCacheDictionary['X'] # only need to perform this dictionary look-up once\n y_in = inDataCacheDictionary['Y'] # only need to perform this dictionary look-up once\n \n a = inCoeffs[0]\n b = inCoeffs[1]\n c = inCoeffs[2]\n\n try:\n temp = a*numpy.power(y_in,b*numpy.power(x_in,c))\n return self.extendedVersionHandler.GetAdditionalModelPredictions(temp, inCoeffs, inDataCacheDictionary, self)\n except:\n return numpy.ones(len(inDataCacheDictionary['DependentData'])) * 1.0E300", "metadata": "root.SimpleEquation_38.CalculateModelPredictions", "header": "['class', 'SimpleEquation_38', '(', 'pyeq2', '.', 'Model_3D_BaseClass', '.', 'Model_3D_BaseClass', ')', ':', '___EOS___']", "index": 1976 }, { "content": " def CalculateModelPredictions(self, inCoeffs, inDataCacheDictionary):\n x_in = inDataCacheDictionary['X'] # only need to perform this dictionary look-up once\n y_in = inDataCacheDictionary['Y'] # only need to perform this dictionary look-up once\n PowY05 = inDataCacheDictionary['PowY_0.5'] # only need to perform this dictionary look-up once\n \n a = inCoeffs[0]\n b = inCoeffs[1]\n c = inCoeffs[2]\n\n try:\n temp = x_in/(a+b*y_in+c*PowY05)\n return self.extendedVersionHandler.GetAdditionalModelPredictions(temp, inCoeffs, inDataCacheDictionary, self)\n except:\n return numpy.ones(len(inDataCacheDictionary['DependentData'])) * 1.0E300", "metadata": "root.SimpleEquation_39.CalculateModelPredictions", "header": "['class', 'SimpleEquation_39', '(', 'pyeq2', '.', 'Model_3D_BaseClass', '.', 'Model_3D_BaseClass', ')', ':', '___EOS___']", "index": 2029 }, { "content": " def CalculateModelPredictions(self, inCoeffs, inDataCacheDictionary):\n x_in = inDataCacheDictionary['X'] # only need to perform this dictionary look-up once\n y_in = inDataCacheDictionary['Y'] # only need to perform this dictionary look-up once\n PowX05 = inDataCacheDictionary['PowX_0.5'] # only need to perform this dictionary look-up once\n \n a = inCoeffs[0]\n b = inCoeffs[1]\n c = inCoeffs[2]\n\n try:\n temp = y_in/(a+b*x_in+c*PowX05)\n return self.extendedVersionHandler.GetAdditionalModelPredictions(temp, inCoeffs, inDataCacheDictionary, self)\n except:\n return numpy.ones(len(inDataCacheDictionary['DependentData'])) * 1.0E300", "metadata": "root.SimpleEquation_40.CalculateModelPredictions", "header": "['class', 'SimpleEquation_40', '(', 'pyeq2', '.', 'Model_3D_BaseClass', '.', 'Model_3D_BaseClass', ')', ':', '___EOS___']", "index": 2083 }, { "content": " def CalculateModelPredictions(self, inCoeffs, inDataCacheDictionary):\n x_in = inDataCacheDictionary['X'] # only need to perform this dictionary look-up once\n LogY = inDataCacheDictionary['LogY'] # only need to perform this dictionary look-up once\n \n a = inCoeffs[0]\n b = inCoeffs[1]\n c = inCoeffs[2]\n\n try:\n temp = numpy.exp(a+b/x_in+c*LogY)\n return self.extendedVersionHandler.GetAdditionalModelPredictions(temp, inCoeffs, inDataCacheDictionary, self)\n except:\n return numpy.ones(len(inDataCacheDictionary['DependentData'])) * 1.0E300", "metadata": "root.SimpleEquation_41.CalculateModelPredictions", "header": "['class', 'SimpleEquation_41', '(', 'pyeq2', '.', 'Model_3D_BaseClass', '.', 'Model_3D_BaseClass', ')', ':', '___EOS___']", "index": 2136 }, { "content": " def CalculateModelPredictions(self, inCoeffs, inDataCacheDictionary):\n LogX = inDataCacheDictionary['LogX'] # only need to perform this dictionary look-up once\n y_in = inDataCacheDictionary['Y'] # only need to perform this dictionary look-up once\n \n a = inCoeffs[0]\n b = inCoeffs[1]\n c = inCoeffs[2]\n\n try:\n temp = numpy.exp(a+b/y_in+c*LogX)\n return self.extendedVersionHandler.GetAdditionalModelPredictions(temp, inCoeffs, inDataCacheDictionary, self)\n except:\n return numpy.ones(len(inDataCacheDictionary['DependentData'])) * 1.0E300", "metadata": "root.SimpleEquation_42.CalculateModelPredictions", "header": "['class', 'SimpleEquation_42', '(', 'pyeq2', '.', 'Model_3D_BaseClass', '.', 'Model_3D_BaseClass', ')', ':', '___EOS___']", "index": 2188 }, { "content": " def CalculateModelPredictions(self, inCoeffs, inDataCacheDictionary):\n x_in = inDataCacheDictionary['X'] # only need to perform this dictionary look-up once\n y_in = inDataCacheDictionary['Y'] # only need to perform this dictionary look-up once\n \n a = inCoeffs[0]\n b = inCoeffs[1]\n c = inCoeffs[2]\n\n try:\n temp = a*numpy.power(x_in,b)*numpy.log(y_in+c)\n return self.extendedVersionHandler.GetAdditionalModelPredictions(temp, inCoeffs, inDataCacheDictionary, self)\n except:\n return numpy.ones(len(inDataCacheDictionary['DependentData'])) * 1.0E300", "metadata": "root.SimpleEquation_43.CalculateModelPredictions", "header": "['class', 'SimpleEquation_43', '(', 'pyeq2', '.', 'Model_3D_BaseClass', '.', 'Model_3D_BaseClass', ')', ':', '___EOS___']", "index": 2240 }, { "content": " def CalculateModelPredictions(self, inCoeffs, inDataCacheDictionary):\n x_in = inDataCacheDictionary['X'] # only need to perform this dictionary look-up once\n y_in = inDataCacheDictionary['Y'] # only need to perform this dictionary look-up once\n \n a = inCoeffs[0]\n b = inCoeffs[1]\n c = inCoeffs[2]\n\n try:\n temp = a*numpy.power(y_in,b)*numpy.log(x_in+c)\n return self.extendedVersionHandler.GetAdditionalModelPredictions(temp, inCoeffs, inDataCacheDictionary, self)\n except:\n return numpy.ones(len(inDataCacheDictionary['DependentData'])) * 1.0E300", "metadata": "root.SimpleEquation_44.CalculateModelPredictions", "header": "['class', 'SimpleEquation_44', '(', 'pyeq2', '.', 'Model_3D_BaseClass', '.', 'Model_3D_BaseClass', ')', ':', '___EOS___']", "index": 2292 } ]

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[ { "content": "from __future__ import absolute_import\n\nfrom django.conf import settings\nfrom django.template.defaultfilters import slugify\nfrom django.utils.encoding import force_text\nfrom django.utils.safestring import mark_safe\nimport unicodedata\n\nfrom zerver.lib.avatar import user_avatar_hash\nfrom zerver.decorator import JsonableError\n\nfrom boto.s3.key import Key\nfrom boto.s3.connection import S3Connection\nfrom mimetypes import guess_type, guess_extension\n\nfrom zerver.models import get_user_profile_by_id\n\nimport base64\nimport os\nimport re\nfrom PIL import Image, ImageOps\nfrom six.moves import cStringIO as StringIO\nimport random\n\n# Performance Note:\n#\n# For writing files to S3, the file could either be stored in RAM\n# (if it is less than 2.5MiB or so) or an actual temporary file on disk.\n#\n# Because we set FILE_UPLOAD_MAX_MEMORY_SIZE to 0, only the latter case\n# should occur in practice.\n#\n# This is great, because passing the pseudofile object that Django gives\n# you to boto would be a pain.\n\n# To come up with a s3 key we randomly generate a \"directory\". The\n# \"file name\" is the original filename provided by the user run\n# through a sanitization function.\n\n\n\n\n\n\n### S3\n\n\n\n\n\n\n\n\n### Local\n\n\n\n\n\n### Common\n\nif settings.LOCAL_UPLOADS_DIR is not None:\n upload_message_image = upload_message_image_local\n upload_avatar_image = upload_avatar_image_local\nelse:\n upload_message_image = upload_message_image_s3\n upload_avatar_image = upload_avatar_image_s3\n\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "def sanitize_name(value):\n \"\"\"\n Sanitizes a value to be safe to store in a Linux filesystem, in\n S3, and in a URL. So unicode is allowed, but not special\n characters other than \".\", \"-\", and \"_\".\n\n This implementation is based on django.utils.text.slugify; it is\n modified by:\n * hardcoding allow_unicode=True.\n * adding '.' and '_' to the list of allowed characters.\n * preserving the case of the value.\n \"\"\"\n value = force_text(value)\n value = unicodedata.normalize('NFKC', value)\n value = re.sub('[^\\w\\s._-]', '', value, flags=re.U).strip()\n return mark_safe(re.sub('[-\\s]+', '-', value, flags=re.U))", "metadata": "root.sanitize_name", "header": "['module', '___EOS___']", "index": 39 }, { "content": "def random_name(bytes=60):\n return base64.urlsafe_b64encode(os.urandom(bytes))", "metadata": "root.random_name", "header": "['module', '___EOS___']", "index": 56 }, { "content": "class BadImageError(JsonableError):\n pass", "metadata": "root.BadImageError", "header": "['module', '___EOS___']", "index": 59 }, { "content": "def resize_avatar(image_data):\n AVATAR_SIZE = 100\n try:\n im = Image.open(StringIO(image_data))\n im = ImageOps.fit(im, (AVATAR_SIZE, AVATAR_SIZE), Image.ANTIALIAS)\n except IOError:\n raise BadImageError(\"Could not decode avatar image; did you upload an image file?\")\n out = StringIO()\n im.save(out, format='png')\n return out.getvalue()", "metadata": "root.resize_avatar", "header": "['module', '___EOS___']", "index": 62 }, { "content": "def get_bucket(conn, bucket_name):\n # Calling get_bucket() with validate=True can apparently lead\n # to expensive S3 bills:\n # http://www.appneta.com/blog/s3-list-get-bucket-default/\n # The benefits of validation aren't completely clear to us, and\n # we want to save on our bills, so we set the validate flag to False.\n # (We think setting validate to True would cause us to fail faster\n # in situations where buckets don't exist, but that shouldn't be\n # an issue for us.)\n bucket = conn.get_bucket(bucket_name, validate=False)\n return bucket", "metadata": "root.get_bucket", "header": "['module', '___EOS___']", "index": 76 }, { "content": "def upload_image_to_s3(\n bucket_name,\n file_name,\n content_type,\n user_profile,\n contents,\n ):\n\n conn = S3Connection(settings.S3_KEY, settings.S3_SECRET_KEY)\n bucket = get_bucket(conn, bucket_name)\n key = Key(bucket)\n key.key = file_name\n key.set_metadata(\"user_profile_id\", str(user_profile.id))\n key.set_metadata(\"realm_id\", str(user_profile.realm.id))\n\n if content_type:\n headers = {'Content-Type': content_type}\n else:\n headers = None\n\n key.set_contents_from_string(contents, headers=headers)", "metadata": "root.upload_image_to_s3", "header": "['module', '___EOS___']", "index": 88 }, { "content": "def get_file_info(request, user_file):\n uploaded_file_name = user_file.name\n content_type = request.GET.get('mimetype')\n if content_type is None:\n content_type = guess_type(uploaded_file_name)[0]\n else:\n uploaded_file_name = uploaded_file_name + guess_extension(content_type)\n return uploaded_file_name, content_type", "metadata": "root.get_file_info", "header": "['module', '___EOS___']", "index": 110 }, { "content": "def upload_message_image_s3(uploaded_file_name, content_type, file_data, user_profile, target_realm=None):\n bucket_name = settings.S3_AUTH_UPLOADS_BUCKET\n s3_file_name = \"/\".join([\n str(target_realm.id if target_realm is not None else user_profile.realm.id),\n random_name(18),\n sanitize_name(uploaded_file_name)\n ])\n url = \"/user_uploads/%s\" % (s3_file_name)\n\n upload_image_to_s3(\n bucket_name,\n s3_file_name,\n content_type,\n user_profile,\n file_data\n )\n return url", "metadata": "root.upload_message_image_s3", "header": "['module', '___EOS___']", "index": 119 }, { "content": "def get_signed_upload_url(path):\n conn = S3Connection(settings.S3_KEY, settings.S3_SECRET_KEY)\n return conn.generate_url(15, 'GET', bucket=settings.S3_AUTH_UPLOADS_BUCKET, key=path)", "metadata": "root.get_signed_upload_url", "header": "['module', '___EOS___']", "index": 137 }, { "content": "def get_realm_for_filename(path):\n conn = S3Connection(settings.S3_KEY, settings.S3_SECRET_KEY)\n key = get_bucket(conn, settings.S3_AUTH_UPLOADS_BUCKET).get_key(path)\n if key is None:\n # This happens if the key does not exist.\n return None\n return get_user_profile_by_id(key.metadata[\"user_profile_id\"]).realm.id", "metadata": "root.get_realm_for_filename", "header": "['module', '___EOS___']", "index": 141 }, { "content": "def upload_avatar_image_s3(user_file, user_profile, email):\n content_type = guess_type(user_file.name)[0]\n bucket_name = settings.S3_AVATAR_BUCKET\n s3_file_name = user_avatar_hash(email)\n\n image_data = user_file.read()\n upload_image_to_s3(\n bucket_name,\n s3_file_name + \".original\",\n content_type,\n user_profile,\n image_data,\n )\n\n resized_data = resize_avatar(image_data)\n upload_image_to_s3(\n bucket_name,\n s3_file_name,\n 'image/png',\n user_profile,\n resized_data,\n )\n # See avatar_url in avatar.py for URL. (That code also handles the case\n # that users use gravatar.)", "metadata": "root.upload_avatar_image_s3", "header": "['module', '___EOS___']", "index": 149 }, { "content": "def mkdirs(path):\n dirname = os.path.dirname(path)\n if not os.path.isdir(dirname):\n os.makedirs(dirname)", "metadata": "root.mkdirs", "header": "['module', '___EOS___']", "index": 176 }, { "content": "def write_local_file(type, path, file_data):\n file_path = os.path.join(settings.LOCAL_UPLOADS_DIR, type, path)\n mkdirs(file_path)\n with open(file_path, 'wb') as f:\n f.write(file_data)", "metadata": "root.write_local_file", "header": "['module', '___EOS___']", "index": 181 }, { "content": "def upload_message_image_local(uploaded_file_name, content_type, file_data, user_profile, target_realm=None):\n # Split into 256 subdirectories to prevent directories from getting too big\n path = \"/\".join([\n str(user_profile.realm.id),\n format(random.randint(0, 255), 'x'),\n random_name(18),\n sanitize_name(uploaded_file_name)\n ])\n\n write_local_file('files', path, file_data)\n\n return '/user_uploads/' + path", "metadata": "root.upload_message_image_local", "header": "['module', '___EOS___']", "index": 187 }, { "content": "def upload_avatar_image_local(user_file, user_profile, email):\n email_hash = user_avatar_hash(email)\n\n image_data = user_file.read()\n write_local_file('avatars', email_hash+'.original', image_data)\n\n resized_data = resize_avatar(image_data)\n write_local_file('avatars', email_hash+'.png', resized_data)", "metadata": "root.upload_avatar_image_local", "header": "['module', '___EOS___']", "index": 200 }, { "content": "def upload_message_image_through_web_client(request, user_file, user_profile):\n uploaded_file_name, content_type = get_file_info(request, user_file)\n return upload_message_image(uploaded_file_name, content_type, user_file.read(), user_profile)", "metadata": "root.upload_message_image_through_web_client", "header": "['module', '___EOS___']", "index": 218 } ]

[ { "span": "from django.template.defaultfilters import slugify", "start_line": 3, "start_column": 0, "end_line": 3, "end_column": 50 } ]

[]

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[ { "content": "from __future__ import absolute_import\n\nimport os\nimport sys\n\nfrom traits.testing.unittest_tools import unittest, UnittestTools\n\nfrom ..gui import GUI\nfrom ..python_editor import PythonEditor\nfrom ..window import Window\n\n\nPYTHON_SCRIPT = os.path.join(os.path.dirname(__file__), 'python_shell_script.py')\n\n\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "class TestPythonEditor(unittest.TestCase, UnittestTools):\n\n\n\n\n\n", "metadata": "root.TestPythonEditor", "header": "['module', '___EOS___']", "index": 15 }, { "content": " def setUp(self):\n self.gui = GUI()\n self.window = Window()\n self.window._create()", "metadata": "root.TestPythonEditor.setUp", "header": "['class', 'TestPythonEditor', '(', 'unittest', '.', 'TestCase', ',', 'UnittestTools', ')', ':', '___EOS___']", "index": 17 }, { "content": " def tearDown(self):\n self.widget.destroy()\n self.window.destroy()", "metadata": "root.TestPythonEditor.tearDown", "header": "['class', 'TestPythonEditor', '(', 'unittest', '.', 'TestCase', ',', 'UnittestTools', ')', ':', '___EOS___']", "index": 22 }, { "content": " def test_lifecycle(self):\n # test that destroy works\n self.widget = PythonEditor(self.window.control)\n self.gui.process_events()\n self.assertFalse(self.widget.dirty)\n self.widget.destroy()\n self.gui.process_events()", "metadata": "root.TestPythonEditor.test_lifecycle", "header": "['class', 'TestPythonEditor', '(', 'unittest', '.', 'TestCase', ',', 'UnittestTools', ')', ':', '___EOS___']", "index": 26 }, { "content": " def test_show_line_numbers(self):\n # test that destroy works\n self.widget = PythonEditor(self.window.control, show_line_numbers=False)\n self.gui.process_events()\n self.widget.show_line_numbers = True\n self.gui.process_events()\n self.widget.show_line_numbers = False\n self.gui.process_events()\n self.widget.destroy()\n self.gui.process_events()", "metadata": "root.TestPythonEditor.test_show_line_numbers", "header": "['class', 'TestPythonEditor', '(', 'unittest', '.', 'TestCase', ',', 'UnittestTools', ')', ':', '___EOS___']", "index": 34 }, { "content": " def test_load(self):\n # test that destroy works\n self.widget = PythonEditor(self.window.control)\n self.gui.process_events()\n with self.assertTraitChanges(self.widget, 'changed', count=1):\n self.widget.path = PYTHON_SCRIPT\n self.assertFalse(self.widget.dirty)\n self.widget.destroy()\n self.gui.process_events()", "metadata": "root.TestPythonEditor.test_load", "header": "['class', 'TestPythonEditor', '(', 'unittest', '.', 'TestCase', ',', 'UnittestTools', ')', ':', '___EOS___']", "index": 45 }, { "content": " def test_select_line(self):\n # test that destroy works\n self.widget = PythonEditor(self.window.control, path=PYTHON_SCRIPT)\n self.gui.process_events()\n self.widget.select_line(3)\n self.widget.destroy()\n self.gui.process_events()", "metadata": "root.TestPythonEditor.test_select_line", "header": "['class', 'TestPythonEditor', '(', 'unittest', '.', 'TestCase', ',', 'UnittestTools', ')', ':', '___EOS___']", "index": 55 } ]

[ { "span": "import sys", "start_line": 3, "start_column": 0, "end_line": 3, "end_column": 10 } ]

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[ { "content": "def douban_download(url, output_dir = '.', merge = True, info_only = False, **kwargs):\n html = get_html(url)\n if 'subject' in url:\n titles = re.findall(r'data-title=\"([^\"]*)\">', html)\n song_id = re.findall(r'<li class=\"song-item\" id=\"([^\"]*)\"', html)\n song_ssid = re.findall(r'data-ssid=\"([^\"]*)\"', html)\n get_song_url = 'http://music.douban.com/j/songlist/get_song_url'\n \n for i in range(len(titles)):\n title = titles[i]\n datas = {\n 'sid': song_id[i],\n 'ssid': song_ssid[i]\n }\n post_params = urllib.parse.urlencode(datas).encode('utf-8')\n try:\n resp = urllib.request.urlopen(get_song_url, post_params)\n resp_data = json.loads(resp.read().decode('utf-8'))\n real_url = resp_data['r']\n type, ext, size = url_info(real_url)\n print_info(site_info, title, type, size)\n except:\n pass\n\n if not info_only:\n try:\n download_urls([real_url], title, ext, size, output_dir, merge = merge)\n except:\n pass\n\n else: \n titles = re.findall(r'\"name\":\"([^\"]*)\"', html)\n real_urls = [re.sub('\\\\\\\\/', '/', i) for i in re.findall(r'\"rawUrl\":\"([^\"]*)\"', html)]\n \n for i in range(len(titles)):\n title = titles[i]\n real_url = real_urls[i]\n \n type, ext, size = url_info(real_url)\n \n print_info(site_info, title, type, size)\n if not info_only:\n download_urls([real_url], title, ext, size, output_dir, merge = merge)", "metadata": "root.douban_download", "header": "['module', '___EOS___']", "index": 7 } ]

[ { "span": "except:", "start_line": 28, "start_column": 12, "end_line": 28, "end_column": 19 }, { "span": "except:", "start_line": 34, "start_column": 16, "end_line": 34, "end_column": 23 } ]

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[ { "content": "@contextmanager\ndef s3_bucket(extension):\n with conn():\n b = 's3://%s/%s%s' % (test_bucket_name, next(_tmps), extension)\n try:\n yield b\n finally:\n drop(resource(b))", "metadata": "root.s3_bucket", "header": "['module', '___EOS___']", "index": 57 } ]

[ { "span": "next(_tmps),", "start_line": 60, "start_column": 48, "end_line": 60, "end_column": 59 } ]

[]

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[ { "content": " def read_installed_packages_list(self, from_location):\n \"\"\"\n Reads a given configuration file, and updates the\n internal installed packages list.\n\n :param from_location: a path (string) to a directory containing an installed.lst file\n \"\"\"\n\n try:\n installed_list_file=open(from_location+\"/installed.lst\")\n except IOError:\n # maybe not a problem, but\n # FIXME: print a warning if exists,\n # but cannot be read (permissions)\n pass\n else:\n # read from file and\n # create a dictionary\n for line in installed_list_file:\n l=line.rstrip().split(' ')\n if l:\n self.installed_packages_list[l[0]]=\\\n this_package=self.package_info(\n from_location, # from which configuration files it comes\n l[0], # name\n l[1], # timestamp\n l[2], # human-readable size\n urllib.unquote(l[3]), # source on the web\n urllib.unquote(l[4])) # where installed\n else:\n pass# skip blank lines (there shouldn't be any)", "metadata": "root.dataset_resolver.read_installed_packages_list", "header": "['class', 'dataset_resolver', ':', '___NEWLINE___', '___NL___', '########################################', '___NL___', '___EOS___']", "index": 30 } ]

[ { "span": "this_package=", "start_line": 52, "start_column": 24, "end_line": 52, "end_column": 36 } ]

[]

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[ { "content": " def test_tee(self):\n n = 200\n def irange(n):\n for i in xrange(n):\n yield i\n\n a, b = tee([]) # test empty iterator\n self.assertEqual(list(a), [])\n self.assertEqual(list(b), [])\n\n a, b = tee(irange(n)) # test 100% interleaved\n self.assertEqual(zip(a,b), zip(range(n),range(n)))\n\n a, b = tee(irange(n)) # test 0% interleaved\n self.assertEqual(list(a), range(n))\n self.assertEqual(list(b), range(n))\n\n a, b = tee(irange(n)) # test dealloc of leading iterator\n for i in xrange(100):\n self.assertEqual(a.next(), i)\n del a\n self.assertEqual(list(b), range(n))\n\n a, b = tee(irange(n)) # test dealloc of trailing iterator\n for i in xrange(100):\n self.assertEqual(a.next(), i)\n del b\n self.assertEqual(list(a), range(100, n))\n\n for j in xrange(5): # test randomly interleaved\n order = [0]*n + [1]*n\n random.shuffle(order)\n lists = ([], [])\n its = tee(irange(n))\n for i in order:\n value = its[i].next()\n lists[i].append(value)\n self.assertEqual(lists[0], range(n))\n self.assertEqual(lists[1], range(n))\n\n # test argument format checking\n self.assertRaises(TypeError, tee)\n self.assertRaises(TypeError, tee, 3)\n self.assertRaises(TypeError, tee, [1,2], 'x')\n self.assertRaises(TypeError, tee, [1,2], 3, 'x')\n\n # tee object should be instantiable\n a, b = tee('abc')\n c = type(a)('def')\n self.assertEqual(list(c), list('def'))\n\n # test long-lagged and multi-way split\n a, b, c = tee(xrange(2000), 3)\n for i in xrange(100):\n self.assertEqual(a.next(), i)\n self.assertEqual(list(b), range(2000))\n self.assertEqual([c.next(), c.next()], range(2))\n self.assertEqual(list(a), range(100,2000))\n self.assertEqual(list(c), range(2,2000))\n\n # test values of n\n self.assertRaises(TypeError, tee, 'abc', 'invalid')\n self.assertRaises(ValueError, tee, [], -1)\n for n in xrange(5):\n result = tee('abc', n)\n self.assertEqual(type(result), tuple)\n self.assertEqual(len(result), n)\n self.assertEqual(map(list, result), [list('abc')]*n)\n\n # tee pass-through to copyable iterator\n a, b = tee('abc')\n c, d = tee(a)\n # JYTHON TODO: we do not currently implement copy\n # self.assert_(a is c)\n\n # test tee_new\n t1, t2 = tee('abc')\n tnew = type(t1)\n self.assertRaises(TypeError, tnew)\n self.assertRaises(TypeError, tnew, 10)\n t3 = tnew(t1)\n\n # JYTHON: this tests that copy is transitive\n #self.assert_(list(t1) == list(t2) == list(t3) == list('abc'))\n self.assert_(list(t3) == list(t2) == list('abc'))\n # test that tee objects are weak referencable\n a, b = tee(xrange(10))\n p = proxy(a)\n self.assertEqual(getattr(p, '__class__'), type(b))\n del a\n # JYTHON: this depends on `a` actually going out of scope; we\n # would have to play with GC to make it so\n\n # self.assertRaises(ReferenceError, getattr, p, '__class__')", "metadata": "root.TestBasicOps.test_tee", "header": "['class', 'TestBasicOps', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 312 }, { "content": " def makecycle(self, iterator, container):\n container.append(iterator)\n iterator.next()\n del container, iterator", "metadata": "root.TestGC.makecycle", "header": "['class', 'TestGC', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 432 } ]

[ { "span": "del a", "start_line": 401, "start_column": 8, "end_line": 401, "end_column": 13 }, { "span": "del container, iterator", "start_line": 435, "start_column": 8, "end_line": 435, "end_column": 31 } ]

[ { "span": "def test_tee(self):", "start_line": 312, "start_column": 4, "end_line": 312, "end_column": 23 }, { "span": "def makecycle(self, iterator, container):", "start_line": 432, "start_column": 4, "end_line": 432, "end_column": 45 } ]

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[ { "content": " @only(\"lite\")\n def delete_read(self, **params):\n all_args = [\"delimiter\"]\n params = helpers.sanitize_params(params, all_args)\n return super(Message, self).delete(\"read\")", "metadata": "root.Message.delete_read", "header": "['class', 'Message', '(', 'BaseResource', ')', ':', '___EOS___']", "index": 461 } ]

[ { "span": "params ", "start_line": 464, "start_column": 8, "end_line": 464, "end_column": 14 } ]

[]

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[ { "content": "# coding=UTF-8\n\nfrom youtrack.connection import Connection, httplib2\nfrom xml.etree.ElementTree import fromstring\nimport random\nimport urllib\nimport httplib\nimport urllib2\n\nimport socks\n\nhttplib2.debuglevel=4\nhttplib.debuglevel=4\n\nyt = Connection('http://teamsys.intellij.net', 'resttest', 'resttest')#, proxy_info = httplib2.ProxyInfo(socks.PROXY_TYPE_HTTP, 'localhost', 8888))\n#yt = Connection('http://localhost:8080', 'root', 'root')\n\n#yt = Connection('http://v-rot-mne-nogi.myjetbrains.com/youtrack', 'root', 'root') #, proxy_info = httplib2.ProxyInfo(socks.PROXY_TYPE_HTTP, 'localhost', 8888))\n\nprint 'connected'\n\n# create subsystem\n#print yt.createSubsystemDetailed('ADM', 'ss' + str(random.random()), False, 'root')\n\n# get issue\n#i = yt.getIssue('SB-4950')\n\n#print i\n\nprint yt.createIssue('SB', 'resttest', 'test', 'test', '1', 'Bug', 'Unknown', 'Open', '', '', '')\n#print i.getAttachments()\n#a = i.getAttachments()[0]\n#print a\n#\n#content = open('socks.py')\n#print yt2.createAttachment('ADM-1', a.name, content, 'root', contentLength=int(content.headers.dict['content-length']), contentType=content.info().type)\n\n#i = yt.getIssues('ADM', 'tut', 0, 100)\n#print i\n#print i[0].getLinks()\n#print i[0].getAttachments()\n#print i[0].getComments()\n\n#print yt.getSubsystems('JT')\n#print yt.getIssue('JT-4832')\n#print yt.getProject('JT')\n#print yt.getUser('root')\n#print yt.createUser('v2', 'v1', 'vadim', 'vadim@vadim.com', 'vadim@vadim.com')\n#print yt.importUsers([{'login':'vadim2', 'fullName':'vadim', 'email':'eee@ss.com', 'jabber':'fff@fff.com'},\n# {'login':'maxim2', 'fullName':'maxim', 'email':'aaa@ss.com', 'jabber':'www@fff.com'}])\n\n\n#connection.importIssues('ADM', 'group', [\n# {'numberInProject':'1',\n# 'summary': 'some summary',\n# 'description':'some description',\n# 'priority':'1',\n# 'fixedVersion':['1.0', '2.0'],\n# 'comment':[{'author':'yamaxim', 'text':'comment text', 'created':'1267030230127'},\n# {'author':'yavadim', 'text':'comment text 2', 'created':'1267030230127'}]\n# },\n# {'numberInProject':'2',\n# 'summary':'some problem',\n# 'description':'some description',\n# 'priority':'1'}])\n\n#print yt.importIssues('JT', 'group', yt.getIssues('JT', '', 100, 3))\n\n#print yt.getIssues('JT', '', 0, 10)\n\n\n#send: 'GET /rest/issue/SB-4950 HTTP/1.1\\r\\n\n# Host: teamsys.intellij.net\\r\\nuser-agent: Python-httplib2/$Rev: 259 $\\r\\n\n# cookie: JSESSIONID=drgfn16jz02vllov6w3p6gyl;Path=/, jetbrains.charisma.main.security.PRINCIPAL=YzBjZGM3N2UyMmRlYTAyY2I2NzMyZTdlZjc5N2JkYjI5YzdjYWU0NTRmY2I1Zjc5NzBiMmUzY2ZlM2QzZDA2YjpyZXN0dGVzdA;Path=/;Expires=Fri, 17-Jun-2011 10:53:34 GMT\\r\\\\a\n# accept-encoding: compress, gzip\\r\\ncache-control: no-cache\\r\\n\\r\\n'\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 } ]

[ { "span": "from xml.etree.ElementTree import fromstring", "start_line": 3, "start_column": 0, "end_line": 3, "end_column": 44 }, { "span": "import random", "start_line": 4, "start_column": 0, "end_line": 4, "end_column": 13 }, { "span": "import urllib", "start_line": 5, "start_column": 0, "end_line": 5, "end_column": 13 }, { "span": "import urllib2", "start_line": 7, "start_column": 0, "end_line": 7, "end_column": 14 }, { "span": "import socks", "start_line": 9, "start_column": 0, "end_line": 9, "end_column": 12 } ]

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[ { "content": "def SearchParser():\n precedence = ( # NOQA\n ('left', 'NOT', 'NEG'),\n )\n\n def p_terms(p):\n '''expression : list_expr\n | paren_expr\n | boolean_expr\n | negative_expr\n | term'''\n p[0] = p[1]\n\n def p_list_expr(p):\n '''list_expr : expression expression'''\n p[0] = and_(p[1], p[2])\n\n def p_paren_expr(p):\n '''paren_expr : LPAREN expression RPAREN'''\n p[0] = p[2]\n\n def p_boolean_expr(p):\n '''boolean_expr : expression AND expression\n | expression OR expression'''\n if p[2].lower() == 'and':\n p[0] = and_(p[1], p[3])\n elif p[2].lower() == 'or':\n p[0] = or_(p[1], p[3])\n else:\n raise gertty.search.SearchSyntaxError(\"Boolean %s not recognized\" % p[2])\n\n def p_negative_expr(p):\n '''negative_expr : NOT expression\n | NEG expression'''\n p[0] = not_(p[2])\n\n def p_term(p):\n '''term : age_term\n | recentlyseen_term\n | change_term\n | owner_term\n | reviewer_term\n | commit_term\n | project_term\n | project_key_term\n | branch_term\n | topic_term\n | ref_term\n | label_term\n | message_term\n | comment_term\n | has_term\n | is_term\n | status_term\n | file_term\n | limit_term\n | op_term'''\n p[0] = p[1]\n\n def p_string(p):\n '''string : SSTRING\n | DSTRING\n | USTRING'''\n p[0] = p[1]\n\n def p_age_term(p):\n '''age_term : OP_AGE NUMBER string'''\n now = datetime.datetime.utcnow()\n delta = p[2]\n unit = p[3]\n delta = age_to_delta(delta, unit)\n p[0] = gertty.db.change_table.c.updated < (now-datetime.timedelta(seconds=delta))\n\n def p_recentlyseen_term(p):\n '''recentlyseen_term : OP_RECENTLYSEEN NUMBER string'''\n # A gertty extension\n now = datetime.datetime.utcnow()\n delta = p[2]\n unit = p[3]\n delta = age_to_delta(delta, unit)\n s = select([func.datetime(func.max(gertty.db.change_table.c.last_seen), '-%s seconds' % delta)],\n correlate=False)\n p[0] = gertty.db.change_table.c.last_seen >= s\n\n def p_change_term(p):\n '''change_term : OP_CHANGE CHANGE_ID\n | OP_CHANGE NUMBER'''\n if type(p[2]) == int:\n p[0] = gertty.db.change_table.c.number == p[2]\n else:\n p[0] = gertty.db.change_table.c.change_id == p[2]\n\n def p_owner_term(p):\n '''owner_term : OP_OWNER string'''\n if p[2] == 'self':\n username = p.parser.username\n p[0] = gertty.db.account_table.c.username == username\n else:\n p[0] = or_(gertty.db.account_table.c.username == p[2],\n gertty.db.account_table.c.email == p[2],\n gertty.db.account_table.c.name == p[2])\n\n def p_reviewer_term(p):\n '''reviewer_term : OP_REVIEWER string\n | OP_REVIEWER NUMBER'''\n filters = []\n filters.append(gertty.db.approval_table.c.change_key == gertty.db.change_table.c.key)\n filters.append(gertty.db.approval_table.c.account_key == gertty.db.account_table.c.key)\n try:\n number = int(p[2])\n except:\n number = None\n if number is not None:\n filters.append(gertty.db.account_table.c.id == number)\n elif p[2] == 'self':\n username = p.parser.username\n filters.append(gertty.db.account_table.c.username == username)\n else:\n filters.append(or_(gertty.db.account_table.c.username == p[2],\n gertty.db.account_table.c.email == p[2],\n gertty.db.account_table.c.name == p[2]))\n s = select([gertty.db.change_table.c.key], correlate=False).where(and_(*filters))\n p[0] = gertty.db.change_table.c.key.in_(s)\n\n def p_commit_term(p):\n '''commit_term : OP_COMMIT string'''\n filters = []\n filters.append(gertty.db.revision_table.c.change_key == gertty.db.change_table.c.key)\n filters.append(gertty.db.revision_table.c.commit == p[2])\n s = select([gertty.db.change_table.c.key], correlate=False).where(and_(*filters))\n p[0] = gertty.db.change_table.c.key.in_(s)\n\n def p_project_term(p):\n '''project_term : OP_PROJECT string'''\n if p[2].startswith('^'):\n p[0] = func.matches(p[2], gertty.db.project_table.c.name)\n else:\n p[0] = gertty.db.project_table.c.name == p[2]\n\n def p_project_key_term(p):\n '''project_key_term : OP_PROJECT_KEY NUMBER'''\n p[0] = gertty.db.change_table.c.project_key == p[2]\n\n def p_branch_term(p):\n '''branch_term : OP_BRANCH string'''\n if p[2].startswith('^'):\n p[0] = func.matches(p[2], gertty.db.change_table.c.branch)\n else:\n p[0] = gertty.db.change_table.c.branch == p[2]\n\n def p_topic_term(p):\n '''topic_term : OP_TOPIC string'''\n if p[2].startswith('^'):\n p[0] = func.matches(p[2], gertty.db.change_table.c.topic)\n else:\n p[0] = gertty.db.change_table.c.topic == p[2]\n\n def p_ref_term(p):\n '''ref_term : OP_REF string'''\n if p[2].startswith('^'):\n p[0] = func.matches(p[2], 'refs/heads/'+gertty.db.change_table.c.branch)\n else:\n p[0] = gertty.db.change_table.c.branch == p[2][len('refs/heads/'):]\n\n label_re = re.compile(r'(?P<label>[a-zA-Z0-9_-]+([a-zA-Z]|((?<![-+])[0-9])))'\n r'(?P<operator>[<>]?=?)(?P<value>[-+]?[0-9]+)'\n r'($|,(user=)?(?P<user>\\S+))')\n\n def p_label_term(p):\n '''label_term : OP_LABEL string'''\n args = label_re.match(p[2])\n label = args.group('label')\n op = args.group('operator') or '='\n value = int(args.group('value'))\n user = args.group('user')\n\n filters = []\n filters.append(gertty.db.approval_table.c.change_key == gertty.db.change_table.c.key)\n filters.append(gertty.db.approval_table.c.category == label)\n if op == '=':\n filters.append(gertty.db.approval_table.c.value == value)\n elif op == '>=':\n filters.append(gertty.db.approval_table.c.value >= value)\n elif op == '<=':\n filters.append(gertty.db.approval_table.c.value <= value)\n if user is not None:\n filters.append(gertty.db.approval_table.c.account_key == gertty.db.account_table.c.key)\n if user == 'self':\n filters.append(gertty.db.account_table.c.username == p.parser.username)\n else:\n filters.append(\n or_(gertty.db.account_table.c.username == user,\n gertty.db.account_table.c.email == user,\n gertty.db.account_table.c.name == user))\n s = select([gertty.db.change_table.c.key], correlate=False).where(and_(*filters))\n p[0] = gertty.db.change_table.c.key.in_(s)\n\n def p_message_term(p):\n '''message_term : OP_MESSAGE string'''\n filters = []\n filters.append(gertty.db.revision_table.c.change_key == gertty.db.change_table.c.key)\n filters.append(gertty.db.revision_table.c.message.like('%%%s%%' % p[2]))\n s = select([gertty.db.change_table.c.key], correlate=False).where(and_(*filters))\n p[0] = gertty.db.change_table.c.key.in_(s)\n\n def p_comment_term(p):\n '''comment_term : OP_COMMENT string'''\n filters = []\n filters.append(gertty.db.revision_table.c.change_key == gertty.db.change_table.c.key)\n filters.append(gertty.db.revision_table.c.message == p[2])\n revision_select = select([gertty.db.change_table.c.key], correlate=False).where(and_(*filters))\n filters = []\n filters.append(gertty.db.revision_table.c.change_key == gertty.db.change_table.c.key)\n filters.append(gertty.db.comment_table.c.revision_key == gertty.db.revision_table.c.key)\n filters.append(gertty.db.comment_table.c.message == p[2])\n comment_select = select([gertty.db.change_table.c.key], correlate=False).where(and_(*filters))\n p[0] = or_(gertty.db.change_table.c.key.in_(comment_select),\n gertty.db.change_table.c.key.in_(revision_select))\n\n def p_has_term(p):\n '''has_term : OP_HAS string'''\n #TODO: implement star\n if p[2] == 'draft':\n filters = []\n filters.append(gertty.db.revision_table.c.change_key == gertty.db.change_table.c.key)\n filters.append(gertty.db.message_table.c.revision_key == gertty.db.revision_table.c.key)\n filters.append(gertty.db.message_table.c.draft == True)\n s = select([gertty.db.change_table.c.key], correlate=False).where(and_(*filters))\n p[0] = gertty.db.change_table.c.key.in_(s)\n else:\n raise gertty.search.SearchSyntaxError('Syntax error: has:%s is not supported' % p[2])\n\n def p_is_term(p):\n '''is_term : OP_IS string'''\n #TODO: implement draft\n username = p.parser.username\n if p[2] == 'reviewed':\n filters = []\n filters.append(gertty.db.approval_table.c.change_key == gertty.db.change_table.c.key)\n filters.append(gertty.db.approval_table.c.value != 0)\n s = select([gertty.db.change_table.c.key], correlate=False).where(and_(*filters))\n p[0] = gertty.db.change_table.c.key.in_(s)\n elif p[2] == 'open':\n p[0] = gertty.db.change_table.c.status.notin_(['MERGED', 'ABANDONED'])\n elif p[2] == 'closed':\n p[0] = gertty.db.change_table.c.status.in_(['MERGED', 'ABANDONED'])\n elif p[2] == 'submitted':\n p[0] = gertty.db.change_table.c.status == 'SUBMITTED'\n elif p[2] == 'merged':\n p[0] = gertty.db.change_table.c.status == 'MERGED'\n elif p[2] == 'abandoned':\n p[0] = gertty.db.change_table.c.status == 'ABANDONED'\n elif p[2] == 'owner':\n p[0] = gertty.db.account_table.c.username == username\n elif p[2] == 'starred':\n p[0] = gertty.db.change_table.c.starred == True\n elif p[2] == 'held':\n # A gertty extension\n p[0] = gertty.db.change_table.c.held == True\n elif p[2] == 'reviewer':\n filters = []\n filters.append(gertty.db.approval_table.c.change_key == gertty.db.change_table.c.key)\n filters.append(gertty.db.approval_table.c.account_key == gertty.db.account_table.c.key)\n filters.append(gertty.db.account_table.c.username == username)\n s = select([gertty.db.change_table.c.key], correlate=False).where(and_(*filters))\n p[0] = gertty.db.change_table.c.key.in_(s)\n elif p[2] == 'watched':\n p[0] = gertty.db.project_table.c.subscribed == True\n else:\n raise gertty.search.SearchSyntaxError('Syntax error: is:%s is not supported' % p[2])\n\n def p_file_term(p):\n '''file_term : OP_FILE string'''\n if p[2].startswith('^'):\n p[0] = and_(or_(func.matches(p[2], gertty.db.file_table.c.path),\n func.matches(p[2], gertty.db.file_table.c.old_path)),\n gertty.db.file_table.c.status is not None)\n else:\n p[0] = and_(or_(gertty.db.file_table.c.path == p[2],\n gertty.db.file_table.c.old_path == p[2]),\n gertty.db.file_table.c.status is not None)\n\n def p_status_term(p):\n '''status_term : OP_STATUS string'''\n if p[2] == 'open':\n p[0] = gertty.db.change_table.c.status.notin_(['MERGED', 'ABANDONED'])\n elif p[2] == 'closed':\n p[0] = gertty.db.change_table.c.status.in_(['MERGED', 'ABANDONED'])\n else:\n p[0] = gertty.db.change_table.c.status == p[2].upper()\n\n def p_limit_term(p):\n '''limit_term : OP_LIMIT NUMBER'''\n # TODO: Implement this. The sqlalchemy limit call needs to be\n # applied to the query operation and so can not be returned as\n # part of the production here. The information would need to\n # be returned out-of-band. In the mean time, since limits are\n # not as important in gertty, make this a no-op for now so\n # that it does not produce a syntax error.\n p[0] = (True == True)\n\n def p_op_term(p):\n 'op_term : OP'\n raise SyntaxError()\n\n def p_error(p):\n if p:\n raise gertty.search.SearchSyntaxError('Syntax error at \"%s\" in search string \"%s\" (col %s)' % (\n p.lexer.lexdata[p.lexpos:], p.lexer.lexdata, p.lexpos))\n else:\n raise gertty.search.SearchSyntaxError('Syntax error: EOF in search string')\n\n return yacc.yacc(debug=0, write_tables=0)", "metadata": "root.SearchParser", "header": "['module', '___EOS___']", "index": 41 } ]

[ { "span": "p_terms(", "start_line": 46, "start_column": 8, "end_line": 46, "end_column": 15 }, { "span": "p_list_expr(", "start_line": 54, "start_column": 8, "end_line": 54, "end_column": 19 }, { "span": "p_paren_expr(", "start_line": 58, "start_column": 8, "end_line": 58, "end_column": 20 }, { "span": "p_boolean_expr(", "start_line": 62, "start_column": 8, "end_line": 62, "end_column": 22 }, { "span": "p_negative_expr(", "start_line": 72, "start_column": 8, "end_line": 72, "end_column": 23 }, { "span": "p_term(", "start_line": 77, "start_column": 8, "end_line": 77, "end_column": 14 }, { "span": "p_string(", "start_line": 100, "start_column": 8, "end_line": 100, "end_column": 16 }, { "span": "p_age_term(", "start_line": 106, "start_column": 8, "end_line": 106, "end_column": 18 }, { "span": "p_recentlyseen_term(", "start_line": 114, "start_column": 8, "end_line": 114, "end_column": 27 }, { "span": "now ", "start_line": 117, "start_column": 8, "end_line": 117, "end_column": 11 }, { "span": "p_change_term(", "start_line": 125, "start_column": 8, "end_line": 125, "end_column": 21 }, { "span": "p_owner_term(", "start_line": 133, "start_column": 8, "end_line": 133, "end_column": 20 }, { "span": "p_reviewer_term(", "start_line": 143, "start_column": 8, "end_line": 143, "end_column": 23 }, { "span": "p_commit_term(", "start_line": 165, "start_column": 8, "end_line": 165, "end_column": 21 }, { "span": "p_project_term(", "start_line": 173, "start_column": 8, "end_line": 173, "end_column": 22 }, { "span": "p_project_key_term(", "start_line": 180, "start_column": 8, "end_line": 180, "end_column": 26 }, { "span": "p_branch_term(", "start_line": 184, "start_column": 8, "end_line": 184, "end_column": 21 }, { "span": "p_topic_term(", "start_line": 191, "start_column": 8, "end_line": 191, "end_column": 20 }, { "span": "p_ref_term(", "start_line": 198, "start_column": 8, "end_line": 198, "end_column": 18 }, { "span": "p_label_term(", "start_line": 209, "start_column": 8, "end_line": 209, "end_column": 20 }, { "span": "p_message_term(", "start_line": 238, "start_column": 8, "end_line": 238, "end_column": 22 }, { "span": "p_comment_term(", "start_line": 246, "start_column": 8, "end_line": 246, "end_column": 22 }, { "span": "p_has_term(", "start_line": 260, "start_column": 8, "end_line": 260, "end_column": 18 }, { "span": "p_is_term(", "start_line": 273, "start_column": 8, "end_line": 273, "end_column": 17 }, { "span": "p_file_term(", "start_line": 312, "start_column": 8, "end_line": 312, "end_column": 19 }, { "span": "p_status_term(", "start_line": 323, "start_column": 8, "end_line": 323, "end_column": 21 }, { "span": "p_limit_term(", "start_line": 332, "start_column": 8, "end_line": 332, "end_column": 20 }, { "span": "p_op_term(", "start_line": 342, "start_column": 8, "end_line": 342, "end_column": 17 }, { "span": "p_error(", "start_line": 346, "start_column": 8, "end_line": 346, "end_column": 15 } ]

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[ { "content": " def test_abstract_inherited_unique(self):\n title = 'Boss'\n isbn = '12345'\n dbook = DerivedBook.objects.create(title=title, author=self.writer, isbn=isbn)\n form = DerivedBookForm({'title': 'Other', 'author': self.writer.pk, 'isbn': isbn})\n self.assertFalse(form.is_valid())\n self.assertEqual(len(form.errors), 1)\n self.assertEqual(form.errors['isbn'], ['Derived book with this Isbn already exists.'])", "metadata": "root.UniqueTest.test_abstract_inherited_unique", "header": "['class', 'UniqueTest', '(', 'TestCase', ')', ':', '___EOS___']", "index": 461 }, { "content": " def test_abstract_inherited_unique_together(self):\n title = 'Boss'\n isbn = '12345'\n dbook = DerivedBook.objects.create(title=title, author=self.writer, isbn=isbn)\n form = DerivedBookForm({\n 'title': 'Other',\n 'author': self.writer.pk,\n 'isbn': '9876',\n 'suffix1': '0',\n 'suffix2': '0'\n })\n self.assertFalse(form.is_valid())\n self.assertEqual(len(form.errors), 1)\n self.assertEqual(form.errors['__all__'],\n ['Derived book with this Suffix1 and Suffix2 already exists.'])", "metadata": "root.UniqueTest.test_abstract_inherited_unique_together", "header": "['class', 'UniqueTest', '(', 'TestCase', ')', ':', '___EOS___']", "index": 470 }, { "content": " def test_media_on_modelform(self):\n # Similar to a regular Form class you can define custom media to be used on\n # the ModelForm.\n f = ModelFormWithMedia()\n self.assertHTMLEqual(six.text_type(f.media), '''<link href=\"/some/form/css\" type=\"text/css\" media=\"all\" rel=\"stylesheet\" />\n<script type=\"text/javascript\" src=\"/some/form/javascript\"></script>''')\n\n f = CommaSeparatedIntegerForm({'field': '1,2,3'})\n self.assertEqual(f.is_valid(), True)\n self.assertEqual(f.cleaned_data, {'field': '1,2,3'})\n f = CommaSeparatedIntegerForm({'field': '1a,2'})\n self.assertEqual(f.errors, {'field': ['Enter only digits separated by commas.']})\n f = CommaSeparatedIntegerForm({'field': ',,,,'})\n self.assertEqual(f.is_valid(), True)\n self.assertEqual(f.cleaned_data, {'field': ',,,,'})\n f = CommaSeparatedIntegerForm({'field': '1.2'})\n self.assertEqual(f.errors, {'field': ['Enter only digits separated by commas.']})\n f = CommaSeparatedIntegerForm({'field': '1,a,2'})\n self.assertEqual(f.errors, {'field': ['Enter only digits separated by commas.']})\n f = CommaSeparatedIntegerForm({'field': '1,,2'})\n self.assertEqual(f.is_valid(), True)\n self.assertEqual(f.cleaned_data, {'field': '1,,2'})\n f = CommaSeparatedIntegerForm({'field': '1'})\n self.assertEqual(f.is_valid(), True)\n self.assertEqual(f.cleaned_data, {'field': '1'})\n\n # This Price instance generated by this form is not valid because the quantity\n # field is required, but the form is valid because the field is excluded from\n # the form. This is for backwards compatibility.\n\n form = PriceFormWithoutQuantity({'price': '6.00'})\n self.assertEqual(form.is_valid(), True)\n price = form.save(commit=False)\n with self.assertRaises(ValidationError):\n price.full_clean()\n\n # The form should not validate fields that it doesn't contain even if they are\n # specified using 'fields', not 'exclude'.\n class Meta:\n model = Price\n fields = ('price',)\n form = PriceFormWithoutQuantity({'price': '6.00'})\n self.assertEqual(form.is_valid(), True)\n\n # The form should still have an instance of a model that is not complete and\n # not saved into a DB yet.\n\n self.assertEqual(form.instance.price, Decimal('6.00'))\n self.assertEqual(form.instance.quantity is None, True)\n self.assertEqual(form.instance.pk is None, True)\n\n # Choices on CharField and IntegerField\n f = ArticleForm()\n with self.assertRaises(ValidationError):\n f.fields['status'].clean('42')\n\n f = ArticleStatusForm()\n with self.assertRaises(ValidationError):\n f.fields['status'].clean('z')", "metadata": "root.OldFormForXTests.test_media_on_modelform", "header": "['class', 'OldFormForXTests', '(', 'TestCase', ')', ':', '___EOS___']", "index": 1410 }, { "content": " def test_foreignkeys_which_use_to_field(self):\n apple = Inventory.objects.create(barcode=86, name='Apple')\n pear = Inventory.objects.create(barcode=22, name='Pear')\n core = Inventory.objects.create(barcode=87, name='Core', parent=apple)\n\n field = forms.ModelChoiceField(Inventory.objects.all(), to_field_name='barcode')\n self.assertEqual(tuple(field.choices), (\n ('', '---------'),\n (86, 'Apple'),\n (87, 'Core'),\n (22, 'Pear')))\n\n form = InventoryForm(instance=core)\n self.assertHTMLEqual(six.text_type(form['parent']), '''<select name=\"parent\" id=\"id_parent\">\n<option value=\"\">---------</option>\n<option value=\"86\" selected=\"selected\">Apple</option>\n<option value=\"87\">Core</option>\n<option value=\"22\">Pear</option>\n</select>''')\n data = model_to_dict(core)\n data['parent'] = '22'\n form = InventoryForm(data=data, instance=core)\n core = form.save()\n self.assertEqual(core.parent.name, 'Pear')\n\n class CategoryForm(forms.ModelForm):\n description = forms.CharField()\n class Meta:\n model = Category\n fields = ['description', 'url']\n\n self.assertEqual(list(CategoryForm.base_fields),\n ['description', 'url'])\n\n self.assertHTMLEqual(six.text_type(CategoryForm()), '''<tr><th><label for=\"id_description\">Description:</label></th><td><input type=\"text\" name=\"description\" id=\"id_description\" /></td></tr>\n<tr><th><label for=\"id_url\">The URL:</label></th><td><input id=\"id_url\" type=\"text\" name=\"url\" maxlength=\"40\" /></td></tr>''')\n # to_field_name should also work on ModelMultipleChoiceField ##################\n\n field = forms.ModelMultipleChoiceField(Inventory.objects.all(), to_field_name='barcode')\n self.assertEqual(tuple(field.choices), ((86, 'Apple'), (87, 'Core'), (22, 'Pear')))\n self.assertQuerysetEqual(field.clean([86]), ['Apple'])\n\n form = SelectInventoryForm({'items': [87, 22]})\n self.assertEqual(form.is_valid(), True)\n self.assertEqual(len(form.cleaned_data), 1)\n self.assertQuerysetEqual(form.cleaned_data['items'], ['Core', 'Pear'])", "metadata": "root.OldFormForXTests.test_foreignkeys_which_use_to_field", "header": "['class', 'OldFormForXTests', '(', 'TestCase', ')', ':', '___EOS___']", "index": 1470 } ]

[ { "span": "dbook ", "start_line": 464, "start_column": 8, "end_line": 464, "end_column": 13 }, { "span": "dbook ", "start_line": 473, "start_column": 8, "end_line": 473, "end_column": 13 }, { "span": "Meta:", "start_line": 1448, "start_column": 18, "end_line": 1448, "end_column": 22 }, { "span": "pear ", "start_line": 1472, "start_column": 8, "end_line": 1472, "end_column": 12 } ]

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[ { "content": "# Copyright 2014 Open Connectome Project (http://openconnecto.me)\n# \n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n# \n# http://www.apache.org/licenses/LICENSE-2.0\n# \n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\n\nimport numpy as np\nfrom PIL import Image\nimport urllib2\nimport zlib\nimport StringIO\nimport os\nimport sys\nimport cStringIO\nimport zindex\n\n\n# We are going to build this directly on the database to avoid\n# Web transfer limitations.\n\n# include the paths\nEM_BASE_PATH = os.path.abspath(os.path.join(os.path.dirname(__file__), \"..\" ))\nEM_UTIL_PATH = os.path.join(EM_BASE_PATH, \"util\" )\nEM_EMCA_PATH = os.path.join(EM_BASE_PATH, \"emca\" )\nEM_DBCONFIG_PATH = os.path.join(EM_BASE_PATH, \"dbconfig\" )\n\nsys.path += [ EM_UTIL_PATH, EM_DBCONFIG_PATH, EM_EMCA_PATH ]\n\nimport emcaproj\nimport emcadb\nimport dbconfig\n\n# load the project\nprojdb = emcaproj.EMCAProjectsDB()\nproj = projdb.getProj ( 'kasthuri11cc' )\ndbcfg = dbconfig.switchDataset ( proj.getDataset() )\n\n#Load the database\ndb = emcadb.EMCADB ( dbcfg, proj )\n\n_ximagesz = 10748\n_yimagesz = 12896\n_xcubedim = 128\n_ycubedim = 128\n_zcubedim = 16\n\nfid = open ( \"/data/scratch/bigcutout.screened.zs.data\", \"r\" )\n\nresolution = 1\n\nfor zstart in range(1,1850,16):\n\n zend = min(zstart+16,1851)\n\n slab = np.fromfile( fid, count=_ximagesz * _yimagesz * (zend-zstart), dtype=np.uint8 )\n slab = slab.reshape([(zend-zstart), _yimagesz, _ximagesz])\n\n for y in range ( 0, _yimagesz, _ycubedim ):\n for x in range ( 0, _ximagesz, _xcubedim ):\n\n mortonidx = zindex.XYZMorton ( [ x/_xcubedim, y/_ycubedim, (zstart-1)/_zcubedim] )\n cubedata = np.zeros ( [_zcubedim, _ycubedim, _xcubedim], dtype=np.uint8 )\n\n xmin = x\n ymin = y\n xmax = min ( _ximagesz, x+_xcubedim )\n ymax = min ( _yimagesz, y+_ycubedim )\n zmin = 0\n zmax = zend-zstart\n\n cubedata[0:zmax-zmin,0:ymax-ymin,0:xmax-xmin] = slab[zmin:zmax,ymin:ymax,xmin:xmax]\n\n# print \"zindex,x,y,z,xmax,ymax,zmax,shape\",mortonidx,x,y,zstart,xmax,ymax,zend,cubedata.shape\n\n # create the DB BLOB\n fileobj = cStringIO.StringIO ()\n np.save ( fileobj, cubedata )\n cdz = zlib.compress (fileobj.getvalue())\n\n # insert the blob into the database\n cursor = db.conn.cursor()\n sql = \"INSERT INTO res1 (zindex, cube) VALUES (%s, %s)\"\n cursor.execute(sql, (mortonidx, cdz))\n cursor.close()\n print \"Commiting at x=%s, y=%s, z=%s\" % (x,y,zstart) \n db.conn.commit()\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 } ]

[ { "span": "from PIL import Image", "start_line": 15, "start_column": 0, "end_line": 15, "end_column": 21 }, { "span": "import urllib2", "start_line": 16, "start_column": 0, "end_line": 16, "end_column": 14 }, { "span": "import StringIO", "start_line": 18, "start_column": 0, "end_line": 18, "end_column": 15 } ]

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[ { "content": " def onCalibrate(self, event=None):\n x, y = [], []\n mca = self.mca\n # save old calib\n old_calib = mca.offset, mca.slope\n init_calib = copy.deepcopy(mca.init_calib)\n for roiname, eknown, ecen, w_ncen, w_ndif, w_nwid, w_use in self.wids:\n if not w_use.IsChecked():\n mca.init_calib.pop(roiname)\n\n xrf_calib_compute(mca, apply=True, _larch=self.larch)\n offset, slope = mca.new_calib\n self.calib_updated = True\n self.new_offset.SetValue(\"% .3f\" % (1000*offset))\n self.new_slope.SetValue(\"% .3f\" % (1000*slope))\n\n # find ROI peak positions using this new calibration\n xrf_calib_fitrois(mca, _larch=self.larch)\n for roi in self.mca.rois:\n eknown, ecen, fwhm, amp, fit = mca.init_calib[roi.name]\n diff = ecen - eknown\n for roiname, eknown, ocen, w_ncen, w_ndif, w_nwid, w_use in self.wids:\n if roiname == roi.name:\n w_ncen.SetLabel(\"%.1f\" % (1000*ecen))\n w_ndif.SetLabel(\"% .1f\" % (1000*diff))\n w_nwid.SetLabel(\"%.1f\" % (1000*fwhm))\n break\n\n # restore calibration to old values until new values are accepted\n xrf_calib_apply(mca, offset=old_calib[0], slope=old_calib[1],\n _larch=self.larch)\n mca.init_calib = init_calib\n\n tsize = self.GetSize()\n self.SetSize((tsize[0]+1, tsize[1]))\n self.SetSize((tsize[0], tsize[1]))", "metadata": "root.CalibrationFrame.onCalibrate", "header": "['class', 'CalibrationFrame', '(', 'wx', '.', 'Frame', ')', ':', '___EOS___']", "index": 117 } ]

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[ { "content": " def setUp(self):\n \"\"\"Initial setting up of test fixture, automatically called by TestCase before any other test method is invoked\"\"\"\n e = NullEngine()\n # Uncomment to see visualization for debugging etc.\n #e = Engine()\n e.start()\n e.new_scene()\n self.e=e\n\n # Read a VTK (old style) data file.\n r = VTKXMLFileReader()\n r.initialize(get_example_data('pyramid_ug.vtu'))\n e.add_source(r)\n\n # Create the filters.\n # CellDerivatives\n cd = tvtk.CellDerivatives()\n ud = UserDefined(filter=cd)\n e.add_filter(ud)\n ctp = CellToPointData()\n ctp.filter.pass_cell_data = False\n e.add_filter(ctp)\n evn = ExtractVectorNorm()\n e.add_filter(evn)\n evc = ExtractVectorComponents(component='y-component')\n o = Optional(filter=evc)\n e.add_filter(o)\n e.add_module(ScalarCutPlane())\n self.scene = e.current_scene\n s = self.scene\n return", "metadata": "root.TestUserDefined.setUp", "header": "['class', 'TestUserDefined', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 25 }, { "content": " def test_user_defined(self):\n \"Test if the test fixture works\"\n #Now test.\n s = self.scene\n self.check()\n\n #from mayavi.tools.show import show\n #show()", "metadata": "root.TestUserDefined.test_user_defined", "header": "['class', 'TestUserDefined', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 99 }, { "content": " def test_save_and_restore(self):\n \"\"\"Test if saving a visualization and restoring it works.\"\"\"\n engine = self.e\n scene = self.scene\n\n # Save visualization.\n f = BytesIO()\n f.name = abspath('test.mv2') # We simulate a file.\n engine.save_visualization(f)\n f.seek(0) # So we can read this saved data.\n\n # Remove existing scene.\n\n engine.close_scene(scene)\n\n # Load visualization\n engine.load_visualization(f)\n self.scene = engine.current_scene\n s = self.scene\n self.check()", "metadata": "root.TestUserDefined.test_save_and_restore", "header": "['class', 'TestUserDefined', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 108 }, { "content": " def test_deepcopied(self):\n \"\"\"Test if the MayaVi2 visualization can be deep-copied.\"\"\"\n ############################################################\n # Test if the MayaVi2 visualization can be deep-copied.\n\n # Pop the source object.\n s = self.scene\n source = s.children.pop()\n # Add it back to see if that works without error.\n s.children.append(source)\n cp = source.children[0].children[-1]\n s = self.scene\n\n self.check()\n\n # Now deepcopy the source and replace the existing one with\n # the copy. This basically simulates cutting/copying the\n # object from the UI via the right-click menu on the tree\n # view, and pasting the copy back.\n source1 = copy.deepcopy(source)\n s.children[0] = source1\n s = self.scene\n self.check()\n #from mayavi.tools.show import show\n #show()", "metadata": "root.TestUserDefined.test_deepcopied", "header": "['class', 'TestUserDefined', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 129 } ]

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[ { "content": "def main():\n\n parser = argparse.ArgumentParser(description='Download all annotations for a database')\n parser.add_argument('baseurl', action=\"store\")\n parser.add_argument('token', action=\"store\")\n parser.add_argument('outputdir', action=\"store\", help='Directory into which to write HDF5 files')\n parser.add_argument('--resolution', action=\"store\", help='Resolution at which you want the voxels. Defaults to the annotation database resolution.', default=None)\n parser.add_argument('--cutout', action='store_true', help='Return a cutout instead of a list of voxels.')\n parser.add_argument('--status', type=int, action=\"store\", default=None )\n parser.add_argument('--type', type=int, action=\"store\", default=None )\n\n result = parser.parse_args()\n\n # First let's get the list of annotations\n url = 'http://%s/emca/%s/list/' % ( result.baseurl, result.token )\n if result.type != None:\n url += 'type/%s/' % ( result.type )\n if result.status != None:\n url += 'status/%s/' % ( result.status )\n\n print \"Getting the list of annotations from \", url\n\n # Get cube in question\n try:\n f = urllib2.urlopen ( url )\n except urllib2.URLError, e:\n print \"Failed URL\", url\n print \"Error %s\" % (e.read())\n sys.exit(0)\n\n # Now we are processing the return. New tmpfile, new h5f\n tmpfile = tempfile.NamedTemporaryFile ( )\n tmpfile.write ( f.read() )\n f.close()\n tmpfile.tell()\n h5f = h5py.File ( tmpfile.name, driver='core', backing_store=False )\n\n if h5f.get('ANNOIDS'):\n if len(h5f['ANNOIDS']) == 0:\n print \"Found no annotations matching type and status\"\n sys.exit(0)\n else:\n print \"Malformed HDF5 file!\"\n sys.exit(0)\n\n for annoid in np.array(h5f['ANNOIDS'][:]):\n\n # Figure out how big the object is:\n if result.resolution == None:\n url = \"http://%s/emca/%s/%s/boundingbox/\" % (result.baseurl,result.token,annoid)\n else:\n url = \"http://%s/emca/%s/%s/boundingbox/%s/\" % (result.baseurl,result.token,result.annids, annoid)\n\n # Get annotation in question\n try:\n f = urllib2.urlopen ( url )\n except urllib2.URLError, e:\n print \"Failed URL\", url\n print \"Error %s\" % (e) \n sys.exit(0)\n\n\n # create an in memory h5 file\n # Read into a temporary file\n tmpfile = tempfile.NamedTemporaryFile ( )\n tmpfile.write ( f.read() )\n f.close()\n tmpfile.tell()\n h5f = h5py.File ( tmpfile.name, driver='core', backing_store=False )\n\n # If the bounding box is bigger than 100M, don't cut out\n idgrp = h5f.get(h5f.keys()[0])\n print \"Bounding box corner %s dim %s = \" % (idgrp['XYZOFFSET'][:],idgrp['XYZDIMENSION'][:])\n cutoutdim = idgrp['XYZDIMENSION'][:]\n if cutoutdim[0]*cutoutdim[1]*cutoutdim[2] > 2**27:\n sys.stderr.write(\"Not fetching annotation %s now. It's too big. %s bytes.\\n\" % ( annoid, cutoutdim[0]*cutoutdim[1]*cutoutdim[2]))\n sys.stderr.flush()\n continue\n\n h5f.close()\n \n # Get voxel lists for all other annotations and write to the output directory\n if not result.cutout:\n if result.resolution == None:\n url = \"http://%s/emca/%s/%s/voxels/\" % (result.baseurl,result.token,annoid)\n else:\n url = \"http://%s/emca/%s/%s/voxels/%s/\" % (result.baseurl,result.token,annoid, result.resolution)\n # or get a cutout if requested instead\n else:\n if result.resolution == None:\n url = \"http://%s/emca/%s/%s/cutout/\" % (result.baseurl,result.token,annoid)\n else:\n url = \"http://%s/emca/%s/%s/cutout/%s/\" % (result.baseurl,result.token,annoid, result.resolution)\n\n # Get annotation in question\n try:\n f = urllib2.urlopen ( url )\n except urllib2.URLError, e:\n print \"Failed URL\", url\n print \"Error %s\" % (e.read()) \n sys.exit(0)\n\n # Create an output file\n filename = \"/tmp/anno\" + str(annoid) + \".h5\"\n fh = open ( filename, 'w' )\n fh.write ( f.read() )\n fh.tell()\n h5f = h5py.File ( filename )\n\n idgrp = h5f.get(h5f.keys()[0])\n\n print \"Annotation id: \", h5f.keys()[0]\n print \"Annotation type: \", anno_names[idgrp['ANNOTATION_TYPE'][0]]\n\n mdgrp = idgrp['METADATA']\n\n if idgrp.get('VOXELS'):\n print \"Voxel list for object of length\", len(idgrp['VOXELS'][:])\n# print idgrp['VOXELS'][:]\n elif not result.cutout:\n print \"No voxels found at this resolution\"\n\n if idgrp.get('CUTOUT') and idgrp.get('XYZOFFSET'):\n print \"Cutout at corner %s dim %s = \" % (idgrp['XYZOFFSET'][:],idgrp['CUTOUT'].shape)\n print \"%s voxels match identifier in cutout\" % ( len(np.nonzero(np.array(idgrp['CUTOUT'][:,:,:]))[0]))\n\n h5f.flush()\n h5f.close()", "metadata": "root.main", "header": "['module', '___EOS___']", "index": 33 } ]

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[ { "content": " @attr('slow')\n def test_sparse(self):\n\n# print '\\n\\n*************************************************'\n# print ' TEST SPARSE'\n# print '*************************************************'\n\n # fixed parameters\n bsize = 10 # batch size\n imshp = (8, 8)\n kshp = (5, 5)\n nkern = 1 # per output pixel\n ssizes = ((1, 1), (2, 2))\n convmodes = ('full', 'valid',)\n\n # symbolic stuff\n bias = tensor.dvector()\n kerns = tensor.dvector()\n input = tensor.dmatrix()\n rng = numpy.random.RandomState(3423489)\n\n import theano.gof as gof\n\n for mode in (None,):\n ntot, ttot = 0, 0\n for conv_mode in convmodes:\n for ss in ssizes:\n\n output, outshp = sp.applySparseFilter(kerns, kshp,\\\n nkern, input, imshp, ss, bias=bias, mode=conv_mode)\n f = function([kerns, bias, input], output, mode=mode)\n\n # build actual input images\n img2d = numpy.arange(bsize*numpy.prod(imshp)).reshape((bsize,)+imshp)\n img1d = img2d.reshape(bsize, -1)\n zeropad_img = numpy.zeros((bsize,\\\n img2d.shape[1]+2*(kshp[0]-1),\\\n img2d.shape[2]+2*(kshp[1]-1)))\n zeropad_img[:, kshp[0]-1:kshp[0]-1+img2d.shape[1],\n kshp[1]-1:kshp[1]-1+img2d.shape[2]] = img2d\n\n # build kernel matrix -- flatten it for theano stuff\n filters = numpy.arange(numpy.prod(outshp)*numpy.prod(kshp)).\\\n reshape(nkern, numpy.prod(outshp[1:]), numpy.prod(kshp))\n spfilt = filters.flatten()\n biasvals = numpy.arange(numpy.prod(outshp))\n\n # compute output by hand\n ntime1 = time.time()\n refout = numpy.zeros((bsize, nkern, outshp[1], outshp[2]))\n patch = numpy.zeros((kshp[0], kshp[1]))\n for b in xrange(bsize):\n for k in xrange(nkern):\n pixi = 0 # pixel index in raster order\n for j in xrange(outshp[1]):\n for i in xrange(outshp[2]):\n n = j * ss[0]\n m = i * ss[1]\n patch = zeropad_img[b, n:n+kshp[0], m:m+kshp[1]]\n refout[b, k, j, i] = numpy.dot(filters[k, pixi, :],\\\n patch.flatten())\n pixi += 1\n refout = refout.reshape(bsize, -1) + biasvals\n ntot += time.time() - ntime1\n\n # need to flatten images\n ttime1 = time.time()\n out1 = f(spfilt, biasvals, img1d)\n ttot += time.time() - ttime1\n\n temp = refout - out1\n assert (temp < 1e-10).all()\n\n # test downward propagation\n vis = tensor.grad(0.5*tensor.sqr(output).sum(), input)\n downprop = function([kerns, output], vis)\n temp1 = time.time()\n for zz in range(100):\n visval = downprop(spfilt, out1)\n indices, indptr, spmat_shape, sptype, outshp, kmap = \\\n sp.convolution_indices.sparse_eval(imshp, kshp, nkern, ss, conv_mode)\n spmat = sparse.csc_matrix((spfilt[kmap], indices, indptr), spmat_shape)\n visref = numpy.dot(out1, spmat.todense())\n assert numpy.all(visref == visval), (visref, visval)", "metadata": "root.TestSP.test_sparse", "header": "['class', 'TestSP', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 132 }, { "content": " @attr('slow')\n def test_multilayer_sparse(self):\n # fixed parameters\n bsize = 10 # batch size\n imshp = (5, 5)\n kshp = ((3, 3), (2, 2))\n nkerns = (10, 20) # per output pixel\n ssizes = ((1, 1), (2, 2))\n convmodes = ('full', 'valid',)\n\n # symbolic stuff\n kerns = [tensor.dvector(), tensor.dvector()]\n input = tensor.dmatrix()\n rng = numpy.random.RandomState(3423489)\n\n # build actual input images\n img2d = numpy.arange(bsize*numpy.prod(imshp)).reshape((bsize,)+imshp)\n img1d = img2d.reshape(bsize, -1)\n\n for mode in ('FAST_COMPILE', 'FAST_RUN'):\n for conv_mode in convmodes:\n for ss in ssizes:\n\n l1hid, l1outshp = sp.applySparseFilter(kerns[0], kshp[0],\\\n nkerns[0], input, imshp, ss, mode=conv_mode)\n l2hid, l2outshp = sp.applySparseFilter(kerns[1], kshp[1],\\\n nkerns[1], l1hid, l1outshp, ss, mode=conv_mode)\n\n l1propup = function([kerns[0], input], l1hid, mode=mode)\n l2propup = function([kerns[1], l1hid], l2hid, mode=mode)\n\n # actual values\n l1kernvals = numpy.arange(numpy.prod(l1outshp)*numpy.prod(kshp[0]))\n l2kernvals = numpy.arange(numpy.prod(l2outshp)*numpy.prod(kshp[1])*nkerns[0])\n l1hidval = l1propup(l1kernvals, img1d)\n l2hidval = l2propup(l2kernvals, l1hidval)", "metadata": "root.TestSP.test_multilayer_sparse", "header": "['class', 'TestSP', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 222 }, { "content": " def test_multilayer_conv(self):\n # fixed parameters\n bsize = 10 # batch size\n imshp = (5, 5)\n kshp = ((3, 3), (2, 2))\n nkerns = (3, 6) # per output pixel\n ssizes = (((1, 1), (2, 2)),)\n convmodes = ('full',) # 'valid',)\n\n # symbolic stuff\n kerns = [tensor.dmatrix(), tensor.dmatrix()]\n input = tensor.dmatrix()\n rng = numpy.random.RandomState(3423489)\n\n # build actual input images\n img2d = numpy.arange(bsize*numpy.prod(imshp)).reshape((bsize,)+imshp)\n img1d = img2d.reshape(bsize, -1)\n\n for mode in ('FAST_COMPILE', 'FAST_RUN'):\n for conv_mode in convmodes:\n for ss in ssizes:\n\n l1hid, l1shp = sp.convolve(kerns[0], kshp[0],\\\n nkerns[0], input, imshp, ss[0], mode=conv_mode)\n l1propup = function([kerns[0], input], l1hid, mode=mode)\n\n #l1kernvals = numpy.random.rand(nkerns[0],numpy.prod(kshp[0]))\n l1kernvals = numpy.arange(nkerns[0]*numpy.prod(kshp[0])).reshape(nkerns[0], numpy.prod(kshp[0]))\n l1hidval = l1propup(l1kernvals, img1d)\n\n # actual values\n l2hid, l2shp = sp.convolve(kerns[1], kshp[1],\\\n nkerns[1], l1hid, l1shp, ss[1], mode=conv_mode)\n l2propup = function([kerns[1], l1hid], l2hid, mode=mode)\n\n #l2kernvals = numpy.random.rand(nkerns[1],numpy.prod(kshp[1])*nkerns[0])\n l2kernvals = numpy.arange(nkerns[1]*numpy.prod(kshp[1])*nkerns[0]).reshape(nkerns[1], numpy.prod(kshp[1])*nkerns[0])\n # for debugging, we bring things back to integers\n l1hidval = numpy.arange(numpy.size(l1hidval)).reshape(l1hidval.shape)\n\n l2hidval = l2propup(l2kernvals, l1hidval)", "metadata": "root.TestSP.test_multilayer_conv", "header": "['class', 'TestSP', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 261 }, { "content": " def test_CSMGrad(self):\n imshp = (3, 3)\n nkern = 1 # per output pixel\n kshp = (2, 2)\n #ssizes = ((1,1),(2,2))\n ssizes = ((1, 1),)\n #convmodes = ('full','valid',)\n convmodes = ('full',)\n\n kerns = tensor.dvector()\n indices = tensor.ivector()\n indptr = tensor.ivector()\n spmat_shape = tensor.ivector()\n\n for mode in ['FAST_COMPILE', 'FAST_RUN']:\n for conv_mode in convmodes:\n for ss in ssizes:\n indvals, indptrvals, spshapevals, sptype, outshp, kmap = \\\n sp.convolution_indices.sparse_eval(imshp, kshp, nkern, ss, conv_mode)\n kvals = numpy.random.random(nkern*numpy.prod(kshp)*numpy.prod(outshp)).flatten()\n\n def d(kerns):\n return theano.sparse.dense_from_sparse(\n theano.sparse.CSM(sptype, kmap)(\n kerns, indvals, indptrvals, spshapevals))\n\n # symbolic stuff\n utt.verify_grad(d, [kvals])", "metadata": "root.TestSP.test_CSMGrad", "header": "['class', 'TestSP', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 337 } ]

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[ { "content": "# Imports from standard libraries\nfrom datetime import date\n\n# Imports from Django\nfrom django.core.paginator import EmptyPage, InvalidPage, Paginator\nfrom django.core.urlresolvers import reverse\nfrom django.contrib.sites.models import Site\nfrom django.http import Http404, HttpResponseRedirect, HttpResponsePermanentRedirect\nfrom django.template import RequestContext\nfrom django.shortcuts import get_object_or_404, render_to_response\nfrom django.utils.http import urlencode\nfrom django.views.decorators.cache import cache_page\n\n# Imports from Brubeck\nfrom brubeck.articles.models import Article\nfrom brubeck.blogs.models import Blog, Entry\nfrom brubeck.management.models import WebFront\nfrom brubeck.multimedia.models import AudioClip, Slideshow, Video\nfrom brubeck.podcasts.models import Channel, Episode\nfrom brubeck.publishing.models import Issue, Section\nfrom brubeck.tagging.models import Tag\n\n\n\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "@cache_page(60 * 5)\ndef issue_archive(request, page=1):\n \"\"\"\n Shows a paginated list of issues.\n \"\"\"\n try:\n page = int(page)\n except ValueError:\n raise Http404\n \n site = Site.objects.get_current()\n try:\n issues = Issue.objects.filter(volume__publication__site=site)\n except:\n raise Http404\n \n archive_name = 'Issues'\n \n paginator = Paginator(issues, 20)\n \n try:\n archive_page = paginator.page(page)\n except (EmptyPage, InvalidPage):\n raise Http404\n \n page = {\n 'archive_name': archive_name,\n 'archive_page': archive_page\n }\n \n return render_to_response('publishing/archive.html', page, context_instance=RequestContext(request))", "metadata": "root.issue_archive", "header": "['module', '___EOS___']", "index": 22 }, { "content": "@cache_page(60 * 5)\ndef issue_detail(request, id=None, page=None):\n \"\"\"\n Shows a specific issue and all its contents.\n \"\"\"\n issue = get_object_or_404(Issue, id=int(id))\n \n if page:\n HttpResponsePermanentRedirect(issue.get_absolute_url())\n \n images = []\n images.extend(issue.photo_set.all())\n images.extend(issue.graphic_set.all())\n \n comics = issue.comicepisode_set.all()\n games = issue.gameanswer_set.all()\n \n page = {\n 'comics': comics,\n 'games': games,\n 'images': images,\n 'issue': issue\n }\n \n return render_to_response('publishing/issue_detail.html', page, context_instance=RequestContext(request))", "metadata": "root.issue_detail", "header": "['module', '___EOS___']", "index": 54 }, { "content": "def section_archive(request, slug=None, page=1):\n \"\"\"\n Shows a paginated list of articles for a given section.\n \"\"\"\n site = Site.objects.get_current()\n try:\n section = Section.objects.filter(publication__site=site).get(slug=slug)\n except Section.DoesNotExist:\n raise Http404\n \n archive_name = section.name\n\n try:\n page = int(page)\n except ValueError:\n raise Http404\n \n articles = Article.get_published.filter(section=section)\n paginator = Paginator(articles, 20)\n\n try:\n archive_page = paginator.page(page)\n except (EmptyPage, InvalidPage):\n raise Http404\n \n next_page_url = '/section/%s/archives/%s/' % (slug, page + 1)\n previous_page_url = '/section/%s/archives/%s/' % (slug, page - 1)\n \n page = {\n 'archive_name': archive_name,\n 'archive_page': archive_page,\n 'next_page_url': next_page_url,\n 'previous_page_url': previous_page_url,\n 'section': section\n }\n \n return render_to_response('publishing/section_archive.html', page, RequestContext(request))", "metadata": "root.section_archive", "header": "['module', '___EOS___']", "index": 80 } ]

[ { "span": "from django.core.urlresolvers import reverse", "start_line": 5, "start_column": 0, "end_line": 5, "end_column": 44 }, { "span": "from django.http import Http404, HttpResponseRedirect, HttpResponsePermanentRedirect", "start_line": 7, "start_column": 0, "end_line": 7, "end_column": 84 }, { "span": "from django.utils.http import urlencode", "start_line": 10, "start_column": 0, "end_line": 10, "end_column": 39 }, { "span": "from brubeck.blogs.models import Blog, Entry", "start_line": 15, "start_column": 0, "end_line": 15, "end_column": 44 }, { "span": "from brubeck.management.models import WebFront", "start_line": 16, "start_column": 0, "end_line": 16, "end_column": 46 }, { "span": "from brubeck.multimedia.models import AudioClip, Slideshow, Video", "start_line": 17, "start_column": 0, "end_line": 17, "end_column": 65 }, { "span": "from brubeck.podcasts.models import Channel, Episode", "start_line": 18, "start_column": 0, "end_line": 18, "end_column": 52 }, { "span": "from brubeck.tagging.models import Tag", "start_line": 20, "start_column": 0, "end_line": 20, "end_column": 38 } ]

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[ { "content": "# Copyright 2015 Ufora Inc.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n# http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\n\nimport tempfile\nimport unittest\nimport os\nimport logging\n\nimport ufora.FORA.python.FORA as FORA\n\nimport ufora.test.ClusterSimulation as ClusterSimulation\nimport ufora.test.CumulusSimulationUtils as CumulusSimulationUtils\n\nimport ufora.distributed.SharedState.Connections.ViewFactory as ViewFactory\nimport ufora.native.CallbackScheduler as CallbackScheduler\n\nimport ufora.cumulus.test.TestBase as TestBase\n\n\n\n\nif __name__ == '__main__':\n import ufora.config.Mainline as Mainline\n Mainline.UnitTestMainline([])\n\n\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "class CumulusServiceTests(unittest.TestCase, TestBase.CumulusTestCases):\n", "metadata": "root.CumulusServiceTests", "header": "['module', '___EOS___']", "index": 30 }, { "content": " @classmethod\n def setUpClass(cls):\n cls.numWorkers = 2\n cls.simulator = ClusterSimulation.Simulator.createGlobalSimulator()\n cls.simulator.startService()\n cls.simulator.verifySharedStateRunning()\n\n cls.desirePublisher = cls.simulator.desirePublisher\n\n cls.desirePublisher.desireNumberOfWorkers(cls.numWorkers)\n\n FORA.initialize()\n\n cls.temporaryDirectoryName = tempfile.mkdtemp()\n cls.temporaryFileName = os.path.join(cls.temporaryDirectoryName, \"temp.dat\")\n cls.temporaryFileName2 = os.path.join(cls.temporaryDirectoryName, \"temp2.dat\")\n\n logging.info('CumulusServiceTests: getting remote gateway')\n cls.gateway = cls.simulator.createCumulusGateway(cls.simulator.callbackScheduler)\n logging.info('CumulusServiceTests: waiting for cumulus')\n CumulusSimulationUtils.waitCumulusReady(cls.gateway, cls.numWorkers)\n logging.info('CumulusServiceTests: cumulus is ready')", "metadata": "root.CumulusServiceTests.setUpClass", "header": "['class', 'CumulusServiceTests', '(', 'unittest', '.', 'TestCase', ',', 'TestBase', '.', 'CumulusTestCases', ')', ':', '___EOS___']", "index": 31 }, { "content": " @classmethod\n def tearDownClass(cls):\n cls.simulator.stopService()", "metadata": "root.CumulusServiceTests.tearDownClass", "header": "['class', 'CumulusServiceTests', '(', 'unittest', '.', 'TestCase', ',', 'TestBase', '.', 'CumulusTestCases', ')', ':', '___EOS___']", "index": 54 } ]

[ { "span": "import ufora.distributed.SharedState.Connections.ViewFactory as ViewFactory", "start_line": 24, "start_column": 0, "end_line": 24, "end_column": 75 }, { "span": "import ufora.native.CallbackScheduler as CallbackScheduler", "start_line": 25, "start_column": 0, "end_line": 25, "end_column": 58 } ]

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[ { "content": "#!/usr/bin/env python\n#-*- coding: utf-8 -*-\n'''\nCopyright (c) 2014 Feng Wang <wffrank1987@gmail.com>\n\nLicensed under the Apache License, Version 2.0 (the \"License\");\nyou may not use this file except in compliance with the License.\nYou may obtain a copy of the License at\n\n http://www.apache.org/licenses/LICENSE-2.0\n\n Unless required by applicable law or agreed to in writing, software\n distributed under the License is distributed on an \"AS IS\" BASIS,\n WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n See the License for the specific language governing permissions and\n limitations under the License.\n'''\n\nfrom crawler.contrib.dpreviews import *\n\nfrom optparse import OptionParser\nimport os\nimport time\nimport pprint\nimport logging\n\nlogger = logging.getLogger(__name__)\nlogger.addHandler(logging.StreamHandler())\nlogger.setLevel(logging.DEBUG)\n\n\nusage = \"usage %prog [options] arg\"\nparser = OptionParser(usage=usage)\nparser.add_option('-s', \"--seed\", dest=\"initial search url\",\n help=\"the initial search url\")\nparser.add_option(\"-o\", \"--output\", dest=\"output_dir\",\n help=\"write out to DIR\")\nparser.add_option(\"-v\", \"--verbose\", action=\"store_true\", dest=\"verbose\")\nparser.add_option(\"-q\", \"--quiet\", action=\"store_false\", dest=\"verbose\")\n\n(options, args) = parser.parse_args()\n\n \nif __name__ == \"__main__\":\n main()\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "def main():\n\n proxies = {'http': 'http://23.244.180.162:8089', 'https': 'http://23.244.180.162:8089'}\n\n socket_proxies = {'http': 'socket5://1.ss.shadowsocks.net:65535', 'https': 'http://23.244.180.162:8089'}\n\n \n\n techs = dp_specs(\"http://www.dpreview.com/products/panasonic/compacts/panasonic_dmcsz3/specifications\")\n print \"<table>\"\n for k in techs.keys():\n print \"<thead><tr><th>%s<th></tr></thead>\" % k\n print \"<tbody>\"\n for key, value in techs[k]:\n print '<tr><td>%s</td><td>%s</td></tr>' % (key, value)\n print \"</tbody>\"\n # for k in techs:\n # print '<tr><td>%s</td><td>%s</td></tr>' % (k, techs[k].encode('ascii', \"ignore\"))\n print \"</table>\"\n # for dirname, dirnames, filenames in os.walk('D:\\workspace\\camera\\small'):\n # for filename in filenames:\n # file_path = os.path.join(dirname, filename)\n \n # pid = filename[:-5]\n # if not os.path.isfile(os.path.join(\"D:\\workspace\\camera\\images\", pid) + \".jpg\"):\n # amazon_prd_img(pid, \"D:\\workspace\\camera\\images\")\n\n # print pid", "metadata": "root.main", "header": "['module', '___EOS___']", "index": 42 } ]

[ { "span": "import os", "start_line": 21, "start_column": 0, "end_line": 21, "end_column": 9 }, { "span": "import time", "start_line": 22, "start_column": 0, "end_line": 22, "end_column": 11 }, { "span": "import pprint", "start_line": 23, "start_column": 0, "end_line": 23, "end_column": 13 } ]

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[ { "content": " def dispatch_control(self, msg):\n idents,msg = self.session.feed_identities(msg, copy=False)\n try:\n msg = self.session.unpack_message(msg, content=True, copy=False)\n except:\n self.log.error(\"Invalid Message\", exc_info=True)\n return\n else:\n self.log.debug(\"Control received, %s\", msg)\n \n header = msg['header']\n msg_id = header['msg_id']\n \n handler = self.control_handlers.get(msg['msg_type'], None)\n if handler is None:\n self.log.error(\"UNKNOWN CONTROL MESSAGE TYPE: %r\"%msg['msg_type'])\n else:\n handler(self.control_stream, idents, msg)", "metadata": "root.Kernel.dispatch_control", "header": "['class', 'Kernel', '(', 'SessionFactory', ')', ':', '___NEWLINE___', '___NL___', '#---------------------------------------------------------------------------', '___NL___', '# Kernel interface', '___NL___', '#---------------------------------------------------------------------------', '___NL___', '___NL___', '# kwargs:', '___NL___', '___EOS___']", "index": 194 }, { "content": " def clear_request(self, stream, idents, parent):\n \"\"\"Clear our namespace.\"\"\"\n self.user_ns = {}\n msg = self.session.send(stream, 'clear_reply', ident=idents, parent=parent, \n content = dict(status='ok'))\n self._initial_exec_lines()", "metadata": "root.Kernel.clear_request", "header": "['class', 'Kernel', '(', 'SessionFactory', ')', ':', '___NEWLINE___', '___NL___', '#---------------------------------------------------------------------------', '___NL___', '# Kernel interface', '___NL___', '#---------------------------------------------------------------------------', '___NL___', '___NL___', '# kwargs:', '___NL___', '___EOS___']", "index": 242 }, { "content": " def complete_request(self, stream, ident, parent):\n matches = {'matches' : self.complete(parent),\n 'status' : 'ok'}\n completion_msg = self.session.send(stream, 'complete_reply',\n matches, parent, ident)\n # print >> sys.__stdout__, completion_msg", "metadata": "root.Kernel.complete_request", "header": "['class', 'Kernel', '(', 'SessionFactory', ')', ':', '___NEWLINE___', '___NL___', '#---------------------------------------------------------------------------', '___NL___', '# Kernel interface', '___NL___', '#---------------------------------------------------------------------------', '___NL___', '___NL___', '# kwargs:', '___NL___', '___EOS___']", "index": 282 }, { "content": " def apply_request(self, stream, ident, parent):\n # flush previous reply, so this request won't block it\n stream.flush(zmq.POLLOUT)\n try:\n content = parent['content']\n bufs = parent['buffers']\n msg_id = parent['header']['msg_id']\n # bound = parent['header'].get('bound', False)\n except:\n self.log.error(\"Got bad msg: %s\"%parent, exc_info=True)\n return\n # pyin_msg = self.session.msg(u'pyin',{u'code':code}, parent=parent)\n # self.iopub_stream.send(pyin_msg)\n # self.session.send(self.iopub_stream, u'pyin', {u'code':code},parent=parent)\n sub = {'dependencies_met' : True, 'engine' : self.ident,\n 'started': datetime.now()}\n try:\n # allow for not overriding displayhook\n if hasattr(sys.displayhook, 'set_parent'):\n sys.displayhook.set_parent(parent)\n sys.stdout.set_parent(parent)\n sys.stderr.set_parent(parent)\n # exec \"f(*args,**kwargs)\" in self.user_ns, self.user_ns\n working = self.user_ns\n # suffix = \n prefix = \"_\"+str(msg_id).replace(\"-\",\"\")+\"_\"\n \n f,args,kwargs = unpack_apply_message(bufs, working, copy=False)\n # if bound:\n # bound_ns = Namespace(working)\n # args = [bound_ns]+list(args)\n\n fname = getattr(f, '__name__', 'f')\n \n fname = prefix+\"f\"\n argname = prefix+\"args\"\n kwargname = prefix+\"kwargs\"\n resultname = prefix+\"result\"\n \n ns = { fname : f, argname : args, kwargname : kwargs , resultname : None }\n # print ns\n working.update(ns)\n code = \"%s=%s(*%s,**%s)\"%(resultname, fname, argname, kwargname)\n try:\n exec(code, working,working)\n result = working.get(resultname)\n finally:\n for key in ns.keys():\n working.pop(key)\n # if bound:\n # working.update(bound_ns)\n \n packed_result,buf = serialize_object(result)\n result_buf = [packed_result]+buf\n except:\n exc_content = self._wrap_exception('apply')\n # exc_msg = self.session.msg(u'pyerr', exc_content, parent)\n self.session.send(self.iopub_stream, 'pyerr', exc_content, parent=parent,\n ident=asbytes('%s.pyerr'%self.prefix))\n reply_content = exc_content\n result_buf = []\n \n if exc_content['ename'] == 'UnmetDependency':\n sub['dependencies_met'] = False\n else:\n reply_content = {'status' : 'ok'}\n \n # put 'ok'/'error' status in header, for scheduler introspection:\n sub['status'] = reply_content['status']\n \n reply_msg = self.session.send(stream, 'apply_reply', reply_content, \n parent=parent, ident=ident,buffers=result_buf, subheader=sub)\n \n # flush i/o\n # should this be before reply_msg is sent, like in the single-kernel code, \n # or should nothing get in the way of real results?\n sys.stdout.flush()\n sys.stderr.flush()", "metadata": "root.Kernel.apply_request", "header": "['class', 'Kernel', '(', 'SessionFactory', ')', ':', '___NEWLINE___', '___NL___', '#---------------------------------------------------------------------------', '___NL___', '# Kernel interface', '___NL___', '#---------------------------------------------------------------------------', '___NL___', '___NL___', '# kwargs:', '___NL___', '___EOS___']", "index": 292 }, { "content": " def dispatch_queue(self, stream, msg):\n self.control_stream.flush()\n idents,msg = self.session.feed_identities(msg, copy=False)\n try:\n msg = self.session.unpack_message(msg, content=True, copy=False)\n except:\n self.log.error(\"Invalid Message\", exc_info=True)\n return\n else:\n self.log.debug(\"Message received, %s\", msg)\n \n \n header = msg['header']\n msg_id = header['msg_id']\n if self.check_aborted(msg_id):\n self.aborted.remove(msg_id)\n # is it safe to assume a msg_id will not be resubmitted?\n reply_type = msg['msg_type'].split('_')[0] + '_reply'\n status = {'status' : 'aborted'}\n reply_msg = self.session.send(stream, reply_type, subheader=status,\n content=status, parent=msg, ident=idents)\n return\n handler = self.shell_handlers.get(msg['msg_type'], None)\n if handler is None:\n self.log.error(\"UNKNOWN MESSAGE TYPE: %r\"%msg['msg_type'])\n else:\n handler(stream, idents, msg)", "metadata": "root.Kernel.dispatch_queue", "header": "['class', 'Kernel', '(', 'SessionFactory', ')', ':', '___NEWLINE___', '___NL___', '#---------------------------------------------------------------------------', '___NL___', '# Kernel interface', '___NL___', '#---------------------------------------------------------------------------', '___NL___', '___NL___', '# kwargs:', '___NL___', '___EOS___']", "index": 371 } ]

[ { "span": "msg_id ", "start_line": 205, "start_column": 8, "end_line": 205, "end_column": 14 }, { "span": "msg ", "start_line": 245, "start_column": 8, "end_line": 245, "end_column": 11 }, { "span": "completion_msg ", "start_line": 285, "start_column": 8, "end_line": 285, "end_column": 22 }, { "span": "content ", "start_line": 296, "start_column": 12, "end_line": 296, "end_column": 19 }, { "span": "reply_msg ", "start_line": 362, "start_column": 8, "end_line": 362, "end_column": 17 }, { "span": "reply_msg ", "start_line": 390, "start_column": 12, "end_line": 390, "end_column": 21 } ]

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[ { "content": "class MappedCollection(dict):\n \"\"\"A basic dictionary-based collection class.\n\n Extends dict with the minimal bag semantics that collection\n classes require. ``set`` and ``remove`` are implemented in terms\n of a keying function: any callable that takes an object and\n returns an object for use as a dictionary key.\n\n \"\"\"\n\n\n\n", "metadata": "root.MappedCollection", "header": "['module', '___EOS___']", "index": 1481 }, { "content": " def __init__(self, keyfunc):\n \"\"\"Create a new collection with keying provided by keyfunc.\n\n keyfunc may be any callable any callable that takes an object and\n returns an object for use as a dictionary key.\n\n The keyfunc will be called every time the ORM needs to add a member by\n value-only (such as when loading instances from the database) or\n remove a member. The usual cautions about dictionary keying apply-\n ``keyfunc(object)`` should return the same output for the life of the\n collection. Keying based on mutable properties can result in\n unreachable instances \"lost\" in the collection.\n\n \"\"\"\n self.keyfunc = keyfunc", "metadata": "root.MappedCollection.__init__", "header": "['class', 'MappedCollection', '(', 'dict', ')', ':', '___EOS___']", "index": 1491 }, { "content": " @collection.appender\n @collection.internally_instrumented\n def set(self, value, _sa_initiator=None):\n \"\"\"Add an item by value, consulting the keyfunc for the key.\"\"\"\n\n key = self.keyfunc(value)\n self.__setitem__(key, value, _sa_initiator)", "metadata": "root.MappedCollection.set", "header": "['class', 'MappedCollection', '(', 'dict', ')', ':', '___EOS___']", "index": 1507 }, { "content": " @collection.remover\n @collection.internally_instrumented\n def remove(self, value, _sa_initiator=None):\n \"\"\"Remove an item by value, consulting the keyfunc for the key.\"\"\"\n\n key = self.keyfunc(value)\n # Let self[key] raise if key is not in this collection\n # testlib.pragma exempt:__ne__\n if self[key] != value:\n raise sa_exc.InvalidRequestError(\n \"Can not remove '%s': collection holds '%s' for key '%s'. \"\n \"Possible cause: is the MappedCollection key function \"\n \"based on mutable properties or properties that only obtain \"\n \"values after flush?\" %\n (value, self[key], key))\n self.__delitem__(key, _sa_initiator)", "metadata": "root.MappedCollection.remove", "header": "['class', 'MappedCollection', '(', 'dict', ')', ':', '___EOS___']", "index": 1515 }, { "content": " @collection.converter\n def _convert(self, dictlike):\n \"\"\"Validate and convert a dict-like object into values for set()ing.\n\n This is called behind the scenes when a MappedCollection is replaced\n entirely by another collection, as in::\n\n myobj.mappedcollection = {'a':obj1, 'b': obj2} # ...\n\n Raises a TypeError if the key in any (key, value) pair in the dictlike\n object does not match the key that this collection's keyfunc would\n have assigned for that value.\n\n \"\"\"\n for incoming_key, value in util.dictlike_iteritems(dictlike):\n new_key = self.keyfunc(value)\n if incoming_key != new_key:\n raise TypeError(\n \"Found incompatible key %r for value %r; this \"\n \"collection's \"\n \"keying function requires a key of %r for this value.\" % (\n incoming_key, value, new_key))\n yield value", "metadata": "root.MappedCollection._convert", "header": "['class', 'MappedCollection', '(', 'dict', ')', ':', '___EOS___']", "index": 1532 } ]

[ { "span": "class MappedCollection(dict):", "start_line": 1481, "start_column": 0, "end_line": 1481, "end_column": 29 } ]

[ { "span": "self.keyfunc ", "start_line": 1505, "start_column": 8, "end_line": 1505, "end_column": 20 } ]

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[ { "content": "\"\"\"\nSimple benchmarks for the sparse module\n\"\"\"\nfrom __future__ import division, print_function, absolute_import\n\nimport warnings\nimport time\nimport timeit\n\nimport numpy\nimport numpy as np\nfrom numpy import ones, array, asarray, empty, random, zeros\n\ntry:\n from scipy import sparse\n from scipy.sparse import (csr_matrix, coo_matrix, dia_matrix, lil_matrix,\n dok_matrix, rand, SparseEfficiencyWarning)\nexcept ImportError:\n pass\n\nfrom .common import Benchmark\n\n\n\n\n# TODO move this to a matrix gallery and add unittests\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "def random_sparse(m, n, nnz_per_row):\n rows = numpy.arange(m).repeat(nnz_per_row)\n cols = numpy.random.randint(0, n, size=nnz_per_row*m)\n vals = numpy.random.random_sample(m*nnz_per_row)\n return coo_matrix((vals, (rows, cols)), (m, n)).tocsr()", "metadata": "root.random_sparse", "header": "['module', '___EOS___']", "index": 23 }, { "content": "def poisson2d(N, dtype='d', format=None):\n \"\"\"\n Return a sparse matrix for the 2D Poisson problem\n with standard 5-point finite difference stencil on a\n square N-by-N grid.\n \"\"\"\n if N == 1:\n diags = asarray([[4]], dtype=dtype)\n return dia_matrix((diags, [0]), shape=(1, 1)).asformat(format)\n\n offsets = array([0, -N, N, -1, 1])\n\n diags = empty((5, N**2), dtype=dtype)\n\n diags[0] = 4 # main diagonal\n diags[1:] = -1 # all offdiagonals\n\n diags[3, N-1::N] = 0 # first lower diagonal\n diags[4, N::N] = 0 # first upper diagonal\n\n return dia_matrix((diags, offsets), shape=(N**2, N**2)).asformat(format)", "metadata": "root.poisson2d", "header": "['module', '___EOS___']", "index": 31 }, { "content": "class Arithmetic(Benchmark):\n param_names = ['format', 'XY', 'op']\n params = [\n ['csr'],\n ['AA', 'AB', 'BA', 'BB'],\n ['__add__', '__sub__', 'multiply', '__mul__']\n ]\n\n", "metadata": "root.Arithmetic", "header": "['module', '___EOS___']", "index": 54 }, { "content": " def setup(self, format, XY, op):\n matrices = dict(A=poisson2d(250, format=format),\n B=poisson2d(250, format=format)**2)\n\n x = matrices[XY[0]]\n self.y = matrices[XY[1]]\n self.fn = getattr(x, op)\n self.fn(self.y) # warmup", "metadata": "root.Arithmetic.setup", "header": "['class', 'Arithmetic', '(', 'Benchmark', ')', ':', '___EOS___']", "index": 62 }, { "content": " def time_arithmetic(self, format, XY, op):\n self.fn(self.y)", "metadata": "root.Arithmetic.time_arithmetic", "header": "['class', 'Arithmetic', '(', 'Benchmark', ')', ':', '___EOS___']", "index": 71 }, { "content": "class Sort(Benchmark):\n params = ['Rand10', 'Rand25', 'Rand50', 'Rand100', 'Rand200']\n param_names = ['matrix']\n\n", "metadata": "root.Sort", "header": "['module', '___EOS___']", "index": 75 }, { "content": " def setup(self, matrix):\n n = 10000\n if matrix.startswith('Rand'):\n k = int(matrix[4:])\n self.A = random_sparse(n, n, k)\n self.A.has_sorted_indices = False\n self.A.indices[:2] = 2, 1\n else:\n raise NotImplementedError()", "metadata": "root.Sort.setup", "header": "['class', 'Sort', '(', 'Benchmark', ')', ':', '___EOS___']", "index": 79 }, { "content": " def time_sort(self, matrix):\n \"\"\"sort CSR column indices\"\"\"\n self.A.sort_indices()", "metadata": "root.Sort.time_sort", "header": "['class', 'Sort', '(', 'Benchmark', ')', ':', '___EOS___']", "index": 89 }, { "content": "class Matvec(Benchmark):\n params = [\n ['Identity', 'Poisson5pt', 'Block2x2', 'Block3x3'],\n ['dia', 'csr', 'csc', 'dok', 'lil', 'coo', 'bsr']\n ]\n param_names = ['matrix', 'format']\n\n", "metadata": "root.Matvec", "header": "['module', '___EOS___']", "index": 94 }, { "content": " def setup(self, matrix, format):\n if matrix == 'Identity':\n if format in ('lil', 'dok'):\n raise NotImplementedError()\n self.A = sparse.eye(10000, 10000, format=format)\n elif matrix == 'Poisson5pt':\n self.A = poisson2d(300, format=format)\n elif matrix == 'Block2x2':\n if format not in ('csr', 'bsr'):\n raise NotImplementedError()\n b = (2, 2)\n self.A = sparse.kron(poisson2d(150),\n ones(b)).tobsr(blocksize=b).asformat(format)\n elif matrix == 'Block3x3':\n if format not in ('csr', 'bsr'):\n raise NotImplementedError()\n b = (3, 3)\n self.A = sparse.kron(poisson2d(100),\n ones(b)).tobsr(blocksize=b).asformat(format)\n else:\n raise NotImplementedError()\n\n self.x = ones(self.A.shape[1], dtype=float)", "metadata": "root.Matvec.setup", "header": "['class', 'Matvec', '(', 'Benchmark', ')', ':', '___EOS___']", "index": 101 }, { "content": " def time_matvec(self, matrix, format):\n self.A * self.x", "metadata": "root.Matvec.time_matvec", "header": "['class', 'Matvec', '(', 'Benchmark', ')', ':', '___EOS___']", "index": 125 }, { "content": "class Matvecs(Benchmark):\n params = ['dia', 'coo', 'csr', 'csc', 'bsr']\n param_names = [\"format\"]\n\n", "metadata": "root.Matvecs", "header": "['module', '___EOS___']", "index": 129 }, { "content": " def setup(self, format):\n self.A = poisson2d(300, format=format)\n self.x = ones((self.A.shape[1], 10), dtype=self.A.dtype)", "metadata": "root.Matvecs.setup", "header": "['class', 'Matvecs', '(', 'Benchmark', ')', ':', '___EOS___']", "index": 133 }, { "content": " def time_matvecs(self, format):\n self.A * self.x", "metadata": "root.Matvecs.time_matvecs", "header": "['class', 'Matvecs', '(', 'Benchmark', ')', ':', '___EOS___']", "index": 137 }, { "content": "class Matmul(Benchmark):\n", "metadata": "root.Matmul", "header": "['module', '___EOS___']", "index": 141 }, { "content": " def setup(self):\n H1, W1 = 1, 100000\n H2, W2 = W1, 1000\n C1 = 10\n C2 = 1000000\n\n random.seed(0)\n\n matrix1 = lil_matrix(zeros((H1, W1)))\n matrix2 = lil_matrix(zeros((H2, W2)))\n for i in range(C1):\n matrix1[random.randint(H1), random.randint(W1)] = random.rand()\n for i in range(C2):\n matrix2[random.randint(H2), random.randint(W2)] = random.rand()\n self.matrix1 = matrix1.tocsr()\n self.matrix2 = matrix2.tocsr()", "metadata": "root.Matmul.setup", "header": "['class', 'Matmul', '(', 'Benchmark', ')', ':', '___EOS___']", "index": 142 }, { "content": " def time_large(self):\n for i in range(100):\n self.matrix1 * self.matrix2", "metadata": "root.Matmul.time_large", "header": "['class', 'Matmul', '(', 'Benchmark', ')', ':', '___EOS___']", "index": 159 }, { "content": "class Construction(Benchmark):\n params = [\n ['Empty', 'Identity', 'Poisson5pt'],\n ['lil', 'dok']\n ]\n param_names = ['matrix', 'format']\n\n", "metadata": "root.Construction", "header": "['module', '___EOS___']", "index": 164 }, { "content": " def setup(self, name, format):\n if name == 'Empty':\n self.A = coo_matrix((10000, 10000))\n elif name == 'Identity':\n self.A = sparse.eye(10000, format='coo')\n else:\n self.A = poisson2d(100, format='coo')\n\n formats = {'lil': lil_matrix, 'dok': dok_matrix}\n self.cls = formats[format]", "metadata": "root.Construction.setup", "header": "['class', 'Construction', '(', 'Benchmark', ')', ':', '___EOS___']", "index": 171 }, { "content": " def time_construction(self, name, format):\n T = self.cls(self.A.shape)\n for i, j, v in zip(self.A.row, self.A.col, self.A.data):\n T[i, j] = v", "metadata": "root.Construction.time_construction", "header": "['class', 'Construction', '(', 'Benchmark', ')', ':', '___EOS___']", "index": 182 }, { "content": "class Conversion(Benchmark):\n params = [\n ['csr', 'csc', 'coo', 'dia', 'lil', 'dok'],\n ['csr', 'csc', 'coo', 'dia', 'lil', 'dok'],\n ]\n param_names = ['from_format', 'to_format']\n\n", "metadata": "root.Conversion", "header": "['module', '___EOS___']", "index": 188 }, { "content": " def setup(self, fromfmt, tofmt):\n base = poisson2d(100, format=fromfmt)\n\n try:\n self.fn = getattr(base, 'to' + tofmt)\n except:\n def fn():\n raise RuntimeError()\n self.fn = fn", "metadata": "root.Conversion.setup", "header": "['class', 'Conversion', '(', 'Benchmark', ')', ':', '___EOS___']", "index": 195 }, { "content": " def time_conversion(self, fromfmt, tofmt):\n self.fn()", "metadata": "root.Conversion.time_conversion", "header": "['class', 'Conversion', '(', 'Benchmark', ')', ':', '___EOS___']", "index": 205 }, { "content": "class Getset(Benchmark):\n params = [\n [1, 10, 100, 1000, 10000],\n ['different', 'same'],\n ['csr', 'csc', 'lil', 'dok']\n ]\n param_names = ['N', 'sparsity pattern', 'format']\n unit = \"seconds\"\n\n\n\n", "metadata": "root.Getset", "header": "['module', '___EOS___']", "index": 209 }, { "content": " def setup(self, N, sparsity_pattern, format):\n if format == 'dok' and N > 500:\n raise NotImplementedError()\n\n self.A = rand(1000, 1000, density=1e-5)\n\n A = self.A\n N = int(N)\n\n # indices to assign to\n i, j = [], []\n while len(i) < N:\n n = N - len(i)\n ip = numpy.random.randint(0, A.shape[0], size=n)\n jp = numpy.random.randint(0, A.shape[1], size=n)\n i = numpy.r_[i, ip]\n j = numpy.r_[j, jp]\n v = numpy.random.rand(n)\n\n if N == 1:\n i = int(i)\n j = int(j)\n v = float(v)\n\n base = A.asformat(format)\n\n self.m = base.copy()\n self.i = i\n self.j = j\n self.v = v", "metadata": "root.Getset.setup", "header": "['class', 'Getset', '(', 'Benchmark', ')', ':', '___EOS___']", "index": 218 }, { "content": " def _timeit(self, kernel, recopy):\n min_time = 1e99\n if not recopy:\n kernel(self.m, self.i, self.j, self.v)\n\n number = 1\n start = time.time()\n while time.time() - start < 0.1:\n if recopy:\n m = self.m.copy()\n else:\n m = self.m\n while True:\n duration = timeit.timeit(\n lambda: kernel(m, self.i, self.j, self.v), number=number)\n if duration > 1e-5:\n break\n else:\n number *= 10\n min_time = min(min_time, duration/number)\n return min_time", "metadata": "root.Getset._timeit", "header": "['class', 'Getset', '(', 'Benchmark', ')', ':', '___EOS___']", "index": 249 }, { "content": " def track_fancy_setitem(self, N, sparsity_pattern, format):\n def kernel(A, i, j, v):\n A[i, j] = v\n\n with warnings.catch_warnings():\n warnings.simplefilter('ignore', SparseEfficiencyWarning)\n return self._timeit(kernel, sparsity_pattern == 'different')", "metadata": "root.Getset.track_fancy_setitem", "header": "['class', 'Getset', '(', 'Benchmark', ')', ':', '___EOS___']", "index": 271 }, { "content": " def time_fancy_getitem(self, N, sparsity_pattern, format):\n self.m[self.i, self.j]", "metadata": "root.Getset.time_fancy_getitem", "header": "['class', 'Getset', '(', 'Benchmark', ')', ':', '___EOS___']", "index": 279 }, { "content": "class NullSlice(Benchmark):\n params = [[0.05, 0.01], ['csr', 'csc', 'lil']]\n param_names = ['density', 'format']\n\n\n\n\n", "metadata": "root.NullSlice", "header": "['module', '___EOS___']", "index": 283 }, { "content": " def setup(self, density, format):\n n = 100000\n k = 1000\n self.X = sparse.rand(n, k, format=format, density=density)", "metadata": "root.NullSlice.setup", "header": "['class', 'NullSlice', '(', 'Benchmark', ')', ':', '___EOS___']", "index": 287 }, { "content": " def time_3_rows(self, density, format):\n self.X[[0, 100, 105], :]", "metadata": "root.NullSlice.time_3_rows", "header": "['class', 'NullSlice', '(', 'Benchmark', ')', ':', '___EOS___']", "index": 292 }, { "content": " def time_10000_rows(self, density, format):\n self.X[np.arange(10000), :]", "metadata": "root.NullSlice.time_10000_rows", "header": "['class', 'NullSlice', '(', 'Benchmark', ')', ':', '___EOS___']", "index": 295 }, { "content": " def time_3_cols(self, density, format):\n self.X[:, [0, 100, 105]]", "metadata": "root.NullSlice.time_3_cols", "header": "['class', 'NullSlice', '(', 'Benchmark', ')', ':', '___EOS___']", "index": 298 }, { "content": " def time_100_cols(self, density, format):\n self.X[:, np.arange(100)]", "metadata": "root.NullSlice.time_100_cols", "header": "['class', 'NullSlice', '(', 'Benchmark', ')', ':', '___EOS___']", "index": 301 }, { "content": "class Diagonal(Benchmark):\n params = [[0.01, 0.1, 0.5], ['csr', 'csc', 'coo', 'lil', 'dok', 'dia']]\n param_names = ['density', 'format']\n\n", "metadata": "root.Diagonal", "header": "['module', '___EOS___']", "index": 305 }, { "content": " def setup(self, density, format):\n n = 1000\n if format == 'dok' and n * density >= 500:\n raise NotImplementedError()\n\n self.X = sparse.rand(n, n, format=format, density=density)", "metadata": "root.Diagonal.setup", "header": "['class', 'Diagonal', '(', 'Benchmark', ')', ':', '___EOS___']", "index": 309 }, { "content": " def time_diagonal(self, density, format):\n self.X.diagonal()", "metadata": "root.Diagonal.time_diagonal", "header": "['class', 'Diagonal', '(', 'Benchmark', ')', ':', '___EOS___']", "index": 316 }, { "content": "class Sum(Benchmark):\n params = [[0.01, 0.1, 0.5], ['csr', 'csc', 'coo', 'lil', 'dok', 'dia']]\n param_names = ['density', 'format']\n\n\n\n", "metadata": "root.Sum", "header": "['module', '___EOS___']", "index": 320 }, { "content": " def setup(self, density, format):\n n = 1000\n if format == 'dok' and n * density >= 500:\n raise NotImplementedError()\n\n self.X = sparse.rand(n, n, format=format, density=density)", "metadata": "root.Sum.setup", "header": "['class', 'Sum', '(', 'Benchmark', ')', ':', '___EOS___']", "index": 324 }, { "content": " def time_sum(self, density, format):\n self.X.sum()", "metadata": "root.Sum.time_sum", "header": "['class', 'Sum', '(', 'Benchmark', ')', ':', '___EOS___']", "index": 331 }, { "content": " def time_sum_axis0(self, density, format):\n self.X.sum(axis=0)", "metadata": "root.Sum.time_sum_axis0", "header": "['class', 'Sum', '(', 'Benchmark', ')', ':', '___EOS___']", "index": 334 }, { "content": " def time_sum_axis1(self, density, format):\n self.X.sum(axis=1)", "metadata": "root.Sum.time_sum_axis1", "header": "['class', 'Sum', '(', 'Benchmark', ')', ':', '___EOS___']", "index": 337 } ]

[ { "span": "from scipy.sparse import (csr_matrix, coo_matrix, dia_matrix, lil_matrix,\n dok_matrix, rand, SparseEfficiencyWarning)", "start_line": 15, "start_column": 4, "end_line": 16, "end_column": 72 } ]

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[ { "content": "import toto\nimport cPickle as pickle\nimport zlib\nimport logging\nfrom threading import Thread\nfrom tornado.options import options\nfrom tornado.gen import Task\nfrom collections import deque\nfrom time import time\nfrom uuid import uuid4\nfrom traceback import format_exc\nfrom toto.options import safe_define\n\nsafe_define(\"worker_compression_module\", type=str, help=\"The module to use for compressing and decompressing messages to workers. The module must have 'decompress' and 'compress' methods. If not specified, no compression will be used. Only the default instance will be affected\")\nsafe_define(\"worker_serialization_module\", type=str, help=\"The module to use for serializing and deserializing messages to workers. The module must have 'dumps' and 'loads' methods. If not specified, cPickle will be used. Only the default instance will be affected\")\nsafe_define(\"worker_serialization_mime\", type=str, default='application/pickle', help=\"Used by HttpWorkerConnection in its Content-Type header.\")\nsafe_define(\"worker_timeout\", default=10.0, help=\"The default worker (instance()) will wait at least this many seconds before retrying a request (if retry is true), or timing out (if retry is false). Negative values will never retry or timeout. Note: This abs(value) is also the minimum resolution of any request-specific timeouts. Must not be 0.\")\nsafe_define(\"worker_auto_retry\", default=False, help=\"If True, the default timeout behavior of a worker RPC will be to retry instead of failing when the timeout is reached.\")\nsafe_define(\"worker_retry_count\", default=0, help=\"The maximum number of times to retry a request after timeout. Used by HttpWorkerConnection instead of worker_auto_retry.\")\nsafe_define(\"worker_address\", default='', help=\"This is the address that toto.workerconnection.invoke(method, params) will send tasks too (As specified in the worker conf file). A comma separated list may be used to round-robin load balance tasks between workers.\")\nsafe_define(\"worker_transport\", default='zmq', help=\"Either zmq or http to select which transport to use for worker communication.\")\n\nWORKER_SOCKET_CONNECT = 'CONNECT'\nWORKER_SOCKET_DISCONNECT = 'DISCONNECT'\n\n\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "class WorkerConnection(object):\n '''Use a ``WorkerConnection`` to make RPCs to the remote worker service(s) or worker/router specified by ``address``.\n ``address`` may be either an enumerable of address strings or a string of comma separated addresses. RPC retries\n and timeouts will happen by at most every ``abs(timeout)`` seconds when a periodic callback runs through all active\n messages and checks for prolonged requests. This is also the default timeout for any new calls. ``timeout`` must not be\n ``0``.\n\n Optionally pass any object or module with ``compress`` and ``decompress`` methods as the ``compression`` parameter to\n compress messages. The module must implement the same algorithm used on the worker service. By default, messages are not\n compressed.\n\n Optionally pass any object or module with ``dumps`` and ``loads`` methods that convert an ``object`` to and from a\n ``str`` to replace the default ``cPickle`` serialization with a protocol of your choice.\n\n Use ``auto_retry`` to specify whether or not messages should be retried by default. Retrying messages can cause substantial\n congestion in your worker service. Use with caution.\n '''\n\n \n\n", "metadata": "root.WorkerConnection", "header": "['module', '___EOS___']", "index": 25 }, { "content": " def __getattr__(self, path):\n return WorkerInvocation(path, self)", "metadata": "root.WorkerConnection.__getattr__", "header": "['class', 'WorkerConnection', '(', 'object', ')', ':', '___EOS___']", "index": 43 }, { "content": " def log_error(self, error):\n logging.error(repr(error))", "metadata": "root.WorkerConnection.log_error", "header": "['class', 'WorkerConnection', '(', 'object', ')', ':', '___EOS___']", "index": 46 }, { "content": " def enable_traceback_logging(self):\n from new import instancemethod\n from traceback import format_exc\n def log_error(self, e):\n logging.error(format_exc())\n self.log_error = instancemethod(log_error, self)", "metadata": "root.WorkerConnection.enable_traceback_logging", "header": "['class', 'WorkerConnection', '(', 'object', ')', ':', '___EOS___']", "index": 49 }, { "content": " @classmethod\n def instance(cls):\n '''Returns the default instance of ``WorkerConnection`` as configured by the options prefixed\n with ``worker_``, instantiating it if necessary. Import the ``workerconnection`` module within\n your ``TotoService`` and run it with ``--help`` to see all available options.\n '''\n if not hasattr(cls, '_instance'):\n if options.worker_transport == 'http':\n from toto.httpworkerconnection import HTTPWorkerConnection\n cls._instance = HTTPWorkerConnection.instance()\n else:\n from toto.zmqworkerconnection import ZMQWorkerConnection\n cls._instance = ZMQWorkerConnection.instance()\n return cls._instance", "metadata": "root.WorkerConnection.instance", "header": "['class', 'WorkerConnection', '(', 'object', ')', ':', '___EOS___']", "index": 56 }, { "content": "class WorkerInvocation(object):\n \n\n", "metadata": "root.WorkerInvocation", "header": "['module', '___EOS___']", "index": 71 }, { "content": " def __init__(self, path, connection):\n self._path = path\n self._connection = connection", "metadata": "root.WorkerInvocation.__init__", "header": "['class', 'WorkerInvocation', '(', 'object', ')', ':', '___EOS___']", "index": 73 }, { "content": " def __call__(self, *args, **kwargs):\n return self._connection.invoke(self._path, *args, **kwargs)", "metadata": "root.WorkerInvocation.__call__", "header": "['class', 'WorkerInvocation', '(', 'object', ')', ':', '___EOS___']", "index": 77 }, { "content": " def __getattr__(self, path):\n return getattr(self._connection, self._path + '.' + path)", "metadata": "root.WorkerInvocation.__getattr__", "header": "['class', 'WorkerInvocation', '(', 'object', ')', ':', '___EOS___']", "index": 80 } ]

[ { "span": "import toto", "start_line": 0, "start_column": 0, "end_line": 0, "end_column": 11 }, { "span": "import cPickle as pickle", "start_line": 1, "start_column": 0, "end_line": 1, "end_column": 24 }, { "span": "import zlib", "start_line": 2, "start_column": 0, "end_line": 2, "end_column": 11 }, { "span": "from threading import Thread", "start_line": 4, "start_column": 0, "end_line": 4, "end_column": 28 }, { "span": "from tornado.gen import Task", "start_line": 6, "start_column": 0, "end_line": 6, "end_column": 28 }, { "span": "from collections import deque", "start_line": 7, "start_column": 0, "end_line": 7, "end_column": 29 }, { "span": "from time import time", "start_line": 8, "start_column": 0, "end_line": 8, "end_column": 21 }, { "span": "from uuid import uuid4", "start_line": 9, "start_column": 0, "end_line": 9, "end_column": 22 }, { "span": "from traceback import format_exc", "start_line": 10, "start_column": 0, "end_line": 10, "end_column": 32 } ]

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[ { "content": "def generate_metrics_config(args, host, job_name, instance_id=-1):\n job = args.hbase_config.jobs[job_name]\n\n supervisor_client = deploy_utils.get_supervisor_client(host,\n \"hbase\", args.hbase_config.cluster.name, job_name, instance_id=instance_id)\n\n ganglia_switch = \"# \"\n if args.hbase_config.cluster.ganglia_address:\n ganglia_switch = \"\"\n config_dict = {\n \"job_name\": job_name,\n \"period\": 10,\n \"data_dir\": supervisor_client.get_log_dir(),\n \"ganglia_address\": args.hbase_config.cluster.ganglia_address,\n \"ganglia_switch\": ganglia_switch,\n }\n\n local_path = \"%s/hadoop-metrics.properties.tmpl\" % deploy_utils.get_template_dir()\n template = deploy_utils.Template(open(local_path, \"r\").read())\n return template.substitute(config_dict)", "metadata": "root.generate_metrics_config", "header": "['module', '___EOS___']", "index": 30 }, { "content": "def generate_run_scripts_params(args, host, job_name, host_id, instance_id):\n job = args.hbase_config.jobs[job_name]\n\n supervisor_client = deploy_utils.get_supervisor_client(host,\n \"hbase\", args.hbase_config.cluster.name, job_name, instance_id=instance_id)\n\n artifact_and_version = \"hbase-\" + args.hbase_config.cluster.version\n\n component_dir = \"$package_dir/\"\n # must include both [dir]/ and [dir]/* as [dir]/* only import all jars under\n # this dir but we also need access the webapps under this dir.\n jar_dirs = \"%s/:%s/lib/*:%s/*\" % (component_dir, component_dir, component_dir)\n log_level = deploy_utils.get_service_log_level(args, args.hbase_config)\n\n params = job.get_arguments(args, args.hbase_config.cluster, args.hbase_config.jobs,\n args.hbase_config.arguments_dict, job_name, host_id, instance_id)\n\n script_dict = {\n \"artifact\": artifact_and_version,\n \"job_name\": job_name,\n \"jar_dirs\": jar_dirs,\n \"run_dir\": supervisor_client.get_run_dir(),\n \"params\": params,\n }\n\n return script_dict", "metadata": "root.generate_run_scripts_params", "header": "['module', '___EOS___']", "index": 88 } ]

[ { "span": "job ", "start_line": 31, "start_column": 2, "end_line": 31, "end_column": 5 }, { "span": "log_level ", "start_line": 100, "start_column": 2, "end_line": 100, "end_column": 11 } ]

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"\\u\\u\\uNEWLINE\\u\\u\\u_" ]

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[ { "content": " def testForLoop(self):\n n1 = 0\n n2 = 0\n for i in range(10):\n n1 += i\n for i in xrange(4):\n n2 += i\n self.assertEqual(n1, 45)\n self.assertEqual(n2, 60)\n self.assertEqual(i, 3)\n\n try:\n for i in xrange(4):\n raise StopIteration\n self.fail(\"Failed to raise StopIteration\")\n except StopIteration:\n self.assertTrue(True)\n self.assertEqual(i, 0)\n\n e = 0\n i = -1\n for i in range(1):\n pass\n else:\n e = 1\n self.assertEqual(i, 0)\n self.assertEqual(e, 1)\n\n e = 0\n i = -1\n for i in range(0):\n pass\n else:\n e = 1\n self.assertEqual(i, -1)\n self.assertEqual(e, 1, \"bug #316 for X in Y:... else ...\")\n\n e = 0\n i = -1\n for i in range(1):\n e = 1\n break\n else:\n e = 2\n self.assertEqual(i, 0)\n self.assertEqual(e, 1)", "metadata": "root.BuiltinTest.testForLoop", "header": "['class', 'BuiltinTest', '(', 'UnitTest', ')', ':', '___EOS___']", "index": 412 } ]

[ { "span": "for i in xrange(4):", "start_line": 417, "start_column": 12, "end_line": 417, "end_column": 31 } ]

[ { "span": "for i in range(10):", "start_line": 415, "start_column": 8, "end_line": 415, "end_column": 27 } ]

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[ { "content": " def get_filename(self, context):\n raise NotImplemented('You must implement this in the subclass')", "metadata": "root.CSVViewMixin.get_filename", "header": "['class', 'CSVViewMixin', '(', 'object', ')', ':', '___EOS___']", "index": 29 }, { "content": " def convert_context_to_csv(self, context):\n \"\"\"Convert the context dictionary into a CSV file.\"\"\"\n raise NotImplemented('You must implement this in the subclass')", "metadata": "root.CSVViewMixin.convert_context_to_csv", "header": "['class', 'CSVViewMixin', '(', 'object', ')', ':', '___EOS___']", "index": 32 } ]

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[ { "content": "# LICENSE: Simplified BSD https://github.com/mmp2/megaman/blob/master/LICENSE\n\nfrom nose.tools import assert_true\nfrom nose.tools import assert_equal\n\nfrom scipy.sparse import csr_matrix\nfrom scipy.sparse import csc_matrix\nfrom scipy.sparse import isspmatrix\nimport scipy.sparse as sp\nimport numpy as np\nfrom numpy.testing import assert_array_almost_equal, assert_allclose\nimport warnings\n\nfrom nose.tools import assert_raises\nfrom nose.plugins.skip import SkipTest\n\nfrom megaman.embedding.spectral_embedding import SpectralEmbedding, spectral_embedding, _graph_is_connected\nimport megaman.geometry.geometry as geom\n\nfrom sklearn.metrics import normalized_mutual_info_score\nfrom sklearn.datasets.samples_generator import make_blobs\n\n\n# non centered, sparse centers to check the\ncenters = np.array([\n [0.0, 5.0, 0.0, 0.0, 0.0],\n [0.0, 0.0, 4.0, 0.0, 0.0],\n [1.0, 0.0, 0.0, 5.0, 1.0],\n])\nn_samples = 1000\nn_clusters, n_features = centers.shape\nS, true_labels = make_blobs(n_samples=n_samples, centers=centers,\n cluster_std=1., random_state=42)\n\n\n\n\n\n\n\n\n\n\n\n\n\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "def _check_with_col_sign_flipping(A, B, tol=0.0):\n \"\"\" Check array A and B are equal with possible sign flipping on\n each columns\"\"\"\n sign = True\n for column_idx in range(A.shape[1]):\n sign = sign and ((((A[:, column_idx] -\n B[:, column_idx]) ** 2).mean() <= tol ** 2) or\n (((A[:, column_idx] +\n B[:, column_idx]) ** 2).mean() <= tol ** 2))\n if not sign:\n return False\n return True", "metadata": "root._check_with_col_sign_flipping", "header": "['module', '___EOS___']", "index": 35 }, { "content": "def test_spectral_embedding_two_components(seed=36):\n \"\"\"Test spectral embedding with two components\"\"\"\n random_state = np.random.RandomState(seed)\n n_sample = 100\n affinity = np.zeros(shape=[n_sample * 2,\n n_sample * 2])\n # first component\n affinity[0:n_sample,\n 0:n_sample] = np.abs(random_state.randn(n_sample, n_sample)) + 2\n # second component\n affinity[n_sample::,\n n_sample::] = np.abs(random_state.randn(n_sample, n_sample)) + 2\n # connection\n affinity[0, n_sample + 1] = 1\n affinity[n_sample + 1, 0] = 1\n affinity.flat[::2 * n_sample + 1] = 0\n affinity = 0.5 * (affinity + affinity.T)\n\n true_label = np.zeros(shape=2 * n_sample)\n true_label[0:n_sample] = 1\n\n se_precomp = SpectralEmbedding(n_components=1,\n random_state=np.random.RandomState(seed),\n eigen_solver = 'arpack')\n embedded_coordinate = se_precomp.fit_transform(affinity,\n input_type='affinity')\n\n # thresholding on the first components using 0.\n label_ = np.array(embedded_coordinate.ravel() < 0, dtype=\"float\")\n assert_equal(normalized_mutual_info_score(true_label, label_), 1.0)", "metadata": "root.test_spectral_embedding_two_components", "header": "['module', '___EOS___']", "index": 48 }, { "content": "def test_spectral_embedding_precomputed_affinity(seed=36,almost_equal_decimals=5):\n \"\"\"Test spectral embedding with precomputed kernel\"\"\"\n radius = 4.0\n se_precomp = SpectralEmbedding(n_components=2,\n random_state=np.random.RandomState(seed))\n geom_params = {'affinity_kwds':{'radius':radius}, 'adjacency_kwds':{'radius':radius},\n 'adjacency_method':'brute'}\n se_rbf = SpectralEmbedding(n_components=2, random_state=np.random.RandomState(seed),\n geom = geom_params)\n G = geom.Geometry(adjacency_method = 'brute', adjacency_kwds = {'radius':radius},\n affinity_kwds = {'radius':radius})\n G.set_data_matrix(S)\n A = G.compute_affinity_matrix()\n embed_precomp = se_precomp.fit_transform(A, input_type = 'affinity')\n embed_rbf = se_rbf.fit_transform(S, input_type = 'data')\n assert_array_almost_equal(\n se_precomp.affinity_matrix_.todense(), se_rbf.affinity_matrix_.todense(),\n almost_equal_decimals)\n assert_true(_check_with_col_sign_flipping(embed_precomp, embed_rbf, 0.05))", "metadata": "root.test_spectral_embedding_precomputed_affinity", "header": "['module', '___EOS___']", "index": 80 }, { "content": "def test_spectral_embedding_amg_solver(seed=20):\n \"\"\"Test spectral embedding with amg solver vs arpack using symmetric laplacian\"\"\"\n radius = 4.0\n geom_params = {'affinity_kwds':{'radius':radius}, 'adjacency_kwds':{'radius':radius}, 'adjacency_method':'brute',\n 'laplacian_method':'symmetricnormalized'}\n try:\n import pyamg\n except ImportError:\n raise SkipTest(\"pyamg not available.\")\n se_amg = SpectralEmbedding(n_components=2,eigen_solver=\"amg\",\n random_state=np.random.RandomState(seed), geom = geom_params)\n se_arpack = SpectralEmbedding(n_components=2, eigen_solver=\"arpack\", geom = geom_params,\n random_state=np.random.RandomState(seed))\n embed_amg = se_amg.fit_transform(S)\n embed_arpack = se_arpack.fit_transform(S)\n assert_true(_check_with_col_sign_flipping(embed_amg, embed_arpack, 0.05))", "metadata": "root.test_spectral_embedding_amg_solver", "header": "['module', '___EOS___']", "index": 101 }, { "content": "def test_spectral_embedding_symmetrzation(seed=36):\n \"\"\"Test spectral embedding with amg solver vs arpack using non symmetric laplacian\"\"\"\n radius = 4.0\n geom_params = {'affinity_kwds':{'radius':radius}, 'adjacency_kwds':{'radius':radius}, 'adjacency_method':'brute',\n 'laplacian_method':'geometric'}\n try:\n import pyamg\n except ImportError:\n raise SkipTest(\"pyamg not available.\")\n se_amg = SpectralEmbedding(n_components=2,eigen_solver=\"amg\",\n random_state=np.random.RandomState(seed), geom = geom_params)\n se_arpack = SpectralEmbedding(n_components=2, eigen_solver=\"arpack\", geom = geom_params,\n random_state=np.random.RandomState(seed))\n embed_amg = se_amg.fit_transform(S)\n embed_arpack = se_arpack.fit_transform(S)\n assert_true(_check_with_col_sign_flipping(embed_amg, embed_arpack, 0.05))", "metadata": "root.test_spectral_embedding_symmetrzation", "header": "['module', '___EOS___']", "index": 119 }, { "content": "def test_spectral_embedding_unknown_eigensolver(seed=36):\n \"\"\"Test that SpectralClustering fails with an unknown eigensolver\"\"\"\n se = SpectralEmbedding(n_components=1,\n random_state=np.random.RandomState(seed),\n eigen_solver=\"<unknown>\")\n assert_raises(ValueError, se.fit, S)", "metadata": "root.test_spectral_embedding_unknown_eigensolver", "header": "['module', '___EOS___']", "index": 137 }, { "content": "def test_connectivity(seed=36):\n \"\"\"Test that graph connectivity test works as expected\"\"\"\n graph = np.array([[1, 0, 0, 0, 0],\n [0, 1, 1, 0, 0],\n [0, 1, 1, 1, 0],\n [0, 0, 1, 1, 1],\n [0, 0, 0, 1, 1]])\n assert_equal(_graph_is_connected(graph), False)\n assert_equal(_graph_is_connected(csr_matrix(graph)), False)\n assert_equal(_graph_is_connected(csc_matrix(graph)), False)\n graph = np.array([[1, 1, 0, 0, 0],\n [1, 1, 1, 0, 0],\n [0, 1, 1, 1, 0],\n [0, 0, 1, 1, 1],\n [0, 0, 0, 1, 1]])\n assert_equal(_graph_is_connected(graph), True)\n assert_equal(_graph_is_connected(csr_matrix(graph)), True)\n assert_equal(_graph_is_connected(csc_matrix(graph)), True)", "metadata": "root.test_connectivity", "header": "['module', '___EOS___']", "index": 145 } ]

[ { "span": "from scipy.sparse import isspmatrix", "start_line": 7, "start_column": 0, "end_line": 7, "end_column": 35 }, { "span": "import scipy.sparse as sp", "start_line": 8, "start_column": 0, "end_line": 8, "end_column": 25 }, { "span": "from numpy.testing import assert_array_almost_equal, assert_allclose", "start_line": 10, "start_column": 0, "end_line": 10, "end_column": 68 }, { "span": "import warnings", "start_line": 11, "start_column": 0, "end_line": 11, "end_column": 15 }, { "span": "from megaman.embedding.spectral_embedding import SpectralEmbedding, spectral_embedding, _graph_is_connected", "start_line": 16, "start_column": 0, "end_line": 16, "end_column": 107 } ]

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[ { "content": "#!/usr/bin/env python\n'''\nThe shell module allows running arbitrary shell commands and is critical to the framework in order to run third party tools\n'''\n# import shlex\nfrom collections import defaultdict\nfrom framework.dependency_management.dependency_resolver import BaseComponent\nfrom framework.dependency_management.interfaces import ShellInterface\nfrom framework.lib.general import *\nfrom framework.lib.formatters import LOG_LEVEL_TOOL\nimport signal\nimport subprocess\nimport os\nimport sys\nimport logging\n\n\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "class Shell(BaseComponent, ShellInterface):\n\n COMPONENT_NAME = \"shell\"\n\n\n\n\n\n\n\n\n\n\n", "metadata": "root.Shell", "header": "['module', '___EOS___']", "index": 17 }, { "content": " def __init__(self):\n self.register_in_service_locator()\n self.DynamicReplacements = {} # Some settings like the plugin output dir are dynamic, config is no place for those\n self.command_register = self.get_component(\"command_register\")\n self.target = self.get_component(\"target\")\n self.error_handler = self.get_component(\"error_handler\")\n self.timer = self.get_component(\"timer\")\n #self.CommandInfo = defaultdict(list)\n self.CommandTimeOffset = 'Command'\n self.OldCommands = defaultdict(list)\n # Environment variables for shell\n self.ShellEnviron = os.environ.copy()", "metadata": "root.Shell.__init__", "header": "['class', 'Shell', '(', 'BaseComponent', ',', 'ShellInterface', ')', ':', '___EOS___']", "index": 22 }, { "content": " def RefreshReplacements(self):\n self.DynamicReplacements['###plugin_output_dir###'] = self.target.GetPath('plugin_output_dir')", "metadata": "root.Shell.RefreshReplacements", "header": "['class', 'Shell', '(', 'BaseComponent', ',', 'ShellInterface', ')', ':', '___EOS___']", "index": 35 }, { "content": " def StartCommand(self, OriginalCommand, ModifiedCommand):\n #CommandInfo = defaultdict(list)\n if OriginalCommand == ModifiedCommand and ModifiedCommand in self.OldCommands:\n OriginalCommand = self.OldCommands[ModifiedCommand] # Restore original command saved at modification time\n self.timer.start_timer(self.CommandTimeOffset)\n return { 'OriginalCommand' : OriginalCommand, 'ModifiedCommand' : ModifiedCommand, 'Start' : self.timer.get_start_date_time(self.CommandTimeOffset) }", "metadata": "root.Shell.StartCommand", "header": "['class', 'Shell', '(', 'BaseComponent', ',', 'ShellInterface', ')', ':', '___EOS___']", "index": 38 }, { "content": " def FinishCommand(self, CommandInfo, WasCancelled, PluginInfo):\n CommandInfo['End'] = self.timer.get_end_date_time(self.CommandTimeOffset)\n Success = True\n if WasCancelled:\n Success = False\n CommandInfo['Success'] = Success\n CommandInfo['RunTime'] = self.timer.get_elapsed_time_as_str(self.CommandTimeOffset)\n CommandInfo['Target'] = self.target.GetTargetID()\n CommandInfo['PluginKey'] = PluginInfo[\"key\"]\n self.command_register.AddCommand(CommandInfo)", "metadata": "root.Shell.FinishCommand", "header": "['class', 'Shell', '(', 'BaseComponent', ',', 'ShellInterface', ')', ':', '___EOS___']", "index": 45 }, { "content": " def ShellPathEscape(self, Text):\n return MultipleReplace(Text, {' ': '\\ ', '(': '\\(', ')': '\\)'})", "metadata": "root.Shell.ShellPathEscape", "header": "['class', 'Shell', '(', 'BaseComponent', ',', 'ShellInterface', ')', ':', '___EOS___']", "index": 56 }, { "content": " def GetModifiedShellCommand(self, Command, PluginOutputDir):\n self.RefreshReplacements()\n NewCommand = \"cd \" + self.ShellPathEscape(PluginOutputDir) + \"; \" + MultipleReplace(Command,\n self.DynamicReplacements)\n self.OldCommands[NewCommand] = Command\n #self.StartCommand(Command, NewCommand)\n return NewCommand", "metadata": "root.Shell.GetModifiedShellCommand", "header": "['class', 'Shell', '(', 'BaseComponent', ',', 'ShellInterface', ')', ':', '___EOS___']", "index": 59 }, { "content": " def CanRunCommand(self, Command):\n #Target = self.Core.DB.POutput.CommandAlreadyRegistered(Command['OriginalCommand'])\n #if Target: # Command was run before\n # if Target == self.Core.Config.Get('TARGET'): # Run several times against same target for grep plugins. #and self.Core.Config.Get('FORCE_OVERWRITE'):\n # return [ None, True ] # Can only run again if against the same target and when -f was specified\n # return [Target, False ]\n #return [ None, True ] # Command was not run before\n Target = self.command_register.CommandAlreadyRegistered(Command['OriginalCommand'])\n if Target: # target_config will be None for a not found match\n return [Target, False]\n return [None, True]", "metadata": "root.Shell.CanRunCommand", "header": "['class', 'Shell', '(', 'BaseComponent', ',', 'ShellInterface', ')', ':', '___EOS___']", "index": 67 }, { "content": " def create_subprocess(self, Command):\n # Add proxy settings to environment variables so that tools can pick it up\n # TODO: Uncomment the following lines, when testing has been ensured for using environment variables for proxification,\n # because these variables are set for every command that is run\n # proxy_ip, proxy_port = self.Core.DB.Config.Get(\"INBOUND_PROXY_IP\"), self.Core.DB.Config.Get(\"INBOUND_PROXY_PORT\")\n # self.ShellEnviron[\"http_proxy\"] = \"http://\" + proxy_ip + \":\" + proxy_port\n # self.ShellEnviron[\"https_proxy\"] = \"https://\" + proxy_ip + \":\" + proxy_port\n\n #http://stackoverflow.com/questions/4789837/how-to-terminate-a-python-subprocess-launched-with-shell-true/4791612#4791612)\n proc = subprocess.Popen(\n Command,\n shell=True,\n env=self.ShellEnviron,\n preexec_fn=os.setsid,\n stdout=subprocess.PIPE,\n stderr=subprocess.STDOUT,\n bufsize=1\n )\n return proc", "metadata": "root.Shell.create_subprocess", "header": "['class', 'Shell', '(', 'BaseComponent', ',', 'ShellInterface', ')', ':', '___EOS___']", "index": 79 }, { "content": " def shell_exec_monitor(self, Command, PluginInfo):\n #if not self.CommandInfo:\n CommandInfo = self.StartCommand(Command, Command)\n #Target, CanRun = self.CanRunCommand(self.CommandInfo)\n Target, CanRun = self.CanRunCommand(CommandInfo)\n if not CanRun:\n Message = \"The command was already run for target: \" + str(Target)\n return Message\n logging.info(\"\")\n logging.info(\"Executing :\\n\\n%s\\n\\n\", Command)\n logging.info(\"\")\n logging.info(\"------> Execution Start Date/Time: \" + self.timer.get_start_date_time_as_str('Command'))\n logging.info(\"\")\n Output = ''\n Cancelled = False\n try: # Stolen from: http://stackoverflow.com/questions/5833716/how-to-capture-output-of-a-shell-script-running-in-a-separate-process-in-a-wxpyt\n proc = self.create_subprocess(Command)\n while True:\n line = proc.stdout.readline()\n if not line: break\n # NOTE: Below MUST BE print instead of \"cprint\" to clearly distinguish between owtf output and tool output\n logging.warn(line.strip()) # Show progress on the screen too!\n Output += line # Save as much output as possible before a tool crashes! :)\n except KeyboardInterrupt:\n os.killpg(proc.pid, signal.SIGINT)\n outdata, errdata = proc.communicate()\n logging.warn(outdata)\n Output += outdata\n try:\n os.killpg(os.getpgid(proc.pid), signal.SIGTERM) # Plugin KIA (Killed in Action)\n except OSError:\n pass # Plugin RIP (Rested In Peace)\n Cancelled = True\n #self.FinishCommand(self.CommandInfo, Cancelled)\n Output += self.error_handler.UserAbort('Command', Output) # Identify as Command Level abort\n finally:\n self.FinishCommand(CommandInfo, Cancelled, PluginInfo)\n\n return scrub_output(Output)", "metadata": "root.Shell.shell_exec_monitor", "header": "['class', 'Shell', '(', 'BaseComponent', ',', 'ShellInterface', ')', ':', '___EOS___']", "index": 99 }, { "content": " def shell_exec(self, Command, **kwds): # Mostly used for internal framework commands\n #Stolen from (added shell=True tweak, necessary for easy piping straight via the command line, etc):\n #http://stackoverflow.com/questions/236737/making-a-system-call-that-returns-the-stdout-output-as-a-string/236909#236909\n kwds.setdefault(\"stdout\", subprocess.PIPE)\n kwds.setdefault(\"stderr\", subprocess.STDOUT)\n p = subprocess.Popen(Command, shell=True, **kwds)\n return p.communicate()[0]", "metadata": "root.Shell.shell_exec", "header": "['class', 'Shell', '(', 'BaseComponent', ',', 'ShellInterface', ')', ':', '___EOS___']", "index": 139 } ]

[ { "span": "from framework.lib.formatters import LOG_LEVEL_TOOL", "start_line": 9, "start_column": 0, "end_line": 9, "end_column": 51 }, { "span": "import sys", "start_line": 13, "start_column": 0, "end_line": 13, "end_column": 10 } ]

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[ { "content": " def test_tags(self):\n # tag refs can point to tag objects or to commits\n s = set()\n ref_count = 0\n for ref in chain(self.rorepo.tags, self.rorepo.heads):\n ref_count += 1\n assert isinstance(ref, refs.Reference)\n assert str(ref) == ref.name\n assert repr(ref)\n assert ref == ref\n assert not ref != ref\n s.add(ref)\n # END for each ref\n assert len(s) == ref_count\n assert len(s | s) == ref_count", "metadata": "root.TestRefs.test_tags", "header": "['class', 'TestRefs', '(', 'TestBase', ')', ':', '___EOS___']", "index": 76 } ]

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[ { "content": "#!/usr/bin/python\n# coding: utf-8\n\n# Copyright (c) 2013 Mountainstorm\n# \n# Permission is hereby granted, free of charge, to any person obtaining a copy\n# of this software and associated documentation files (the \"Software\"), to deal\n# in the Software without restriction, including without limitation the rights\n# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell\n# copies of the Software, and to permit persons to whom the Software is\n# furnished to do so, subject to the following conditions:\n# \n# The above copyright notice and this permission notice shall be included in all\n# copies or substantial portions of the Software.\n# \n# THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\n# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\n# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE\n# SOFTWARE.\n\n\nfrom distutils.core import setup\nimport os.path\nimport os\nfrom subprocess import check_output\n\n\n\n\n\nsetup(\n\tname=u'Distutils',\n\tversion=u'1.0' + getcommit(),\n\tdescription=u'A python package, and command line tool, which wraps Apple\\'s MobileDevice API - providing access to iOS devices',\n\tlong_description = readfile(u'README.md'),\n\tauthor=u'Cooper',\n\turl=u'https://github.com/mountainstorm/MobileDevice',\n\tclassifiers = [\n\t\tu'Development Status :: 5 - Production/Stable',\n\t\tu'Environment :: Console',\n\t\tu'Environment :: MacOS X',\n\t\tu'Intended Audience :: Developers',\n\t\tu'License :: OSI Approved :: MIT License',\n\t\tu'Natural Language :: English',\n\t\tu'Operating System :: MacOS :: MacOS X',\n\t\tu'Programming Language :: Python',\n\t\tu'Programming Language :: Python :: 2.7',\n\t\tu'Topic :: Security',\n\t\tu'Topic :: Software Development :: Libraries :: Python Modules',\n\t\tu'Topic :: Utilities',\n\t],\n\tlicense= readfile(u'LICENSE'),\n\tpackages=['MobileDevice'],\n\tpackage_dir={'': u'../'},\n\tscripts=[u'mdf']\n)\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "def readfile(filename):\n\tf = open(filename)\n\ttext = f.read()\n\tf.close()\n\treturn text", "metadata": "root.readfile", "header": "['module', '___EOS___']", "index": 30 }, { "content": "def getcommit():\n\tretval = u''\n\ttry:\n\t\tretval = check_output([u'git', u'rev-list', u'--all', u'--count'])\n\t\tretval = u'.' + retval.strip()\n\texcept:\n\t\tpass\n\treturn retval", "metadata": "root.getcommit", "header": "['module', '___EOS___']", "index": 36 } ]

[ { "span": "import os.path", "start_line": 25, "start_column": 0, "end_line": 25, "end_column": 14 }, { "span": "import os", "start_line": 26, "start_column": 0, "end_line": 26, "end_column": 9 } ]

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[ { "content": "import theano\nimport theano.tensor as T\nfrom theano.sandbox.rng_mrg import MRG_RandomStreams\nfrom theano.tensor.nnet.conv import conv2d\nfrom theano.tensor.signal.downsample import max_pool_2d\nfrom theano.tensor.shared_randomstreams import RandomStreams\n\nimport numpy as np\nimport scipy.io\nimport time\nimport sys\nimport logging\nimport copy\n\nfrom toolbox import *\nfrom modelbase import *\n\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "class CNN(ModelSLBase):", "metadata": "root.CNN", "header": "['module', '___EOS___']", "index": 18 }, { "content": " def __init__(self, data, hp):\n super(CNN, self).__init__(self.__class__.__name__, data, hp)\n \n self.n_h = 400\n\n self.params = Parameters()\n n_x = self.data['n_x']\n n_y = self.data['n_y']\n n_h = self.n_h\n scale = hp.init_scale\n\n if hp.load_model and os.path.isfile(self.filename):\n self.params.load(self.filename)\n else:\n with self.params:\n w = shared_normal((32, 1, 3, 3), scale=scale)\n w2 = shared_normal((64, 32, 3, 3), scale=scale)\n w3 = shared_normal((128, 64, 3, 3), scale=scale)\n w4 = shared_normal((128 * 3 * 3, 625), scale=scale)\n w_o = shared_normal((625, n_y), scale=scale)\n \n def model(X, params, p_drop_conv, p_drop_hidden):\n l1a = rectify(conv2d(X, params.w, border_mode='full'))\n l1 = max_pool_2d(l1a, (2, 2))\n l1 = dropout(l1, p_drop_conv)\n\n l2a = rectify(conv2d(l1, params.w2))\n l2 = max_pool_2d(l2a, (2, 2))\n l2 = dropout(l2, p_drop_conv)\n\n l3a = rectify(conv2d(l2, params.w3))\n l3b = max_pool_2d(l3a, (2, 2))\n l3 = T.flatten(l3b, outdim=2)\n l3 = dropout(l3, p_drop_conv)\n\n l4 = rectify(T.dot(l3, params.w4))\n l4 = dropout(l4, p_drop_hidden)\n\n py_x = softmax(T.dot(l4, params.w_o))\n return py_x\n \n x = T.reshape(self.X, (-1, 1, 28, 28))\n\n noise_py_x = model(x, self.params, 0.2, 0.5)\n cost = T.sum(T.nnet.categorical_crossentropy(noise_py_x, self.Y))\n\n pyx = model(x, self.params, 0., 0.)\n map_pyx = T.argmax(pyx, axis=1)\n error_map_pyx = T.sum(T.neq(map_pyx, T.argmax(self.Y, axis=1)))\n\n self.compile(cost, error_map_pyx)", "metadata": "root.CNN.__init__", "header": "['class', 'CNN', '(', 'ModelSLBase', ')', ':', '___EOS___']", "index": 19 } ]

[ { "span": "import theano", "start_line": 0, "start_column": 0, "end_line": 0, "end_column": 13 }, { "span": "from theano.sandbox.rng_mrg import MRG_RandomStreams", "start_line": 2, "start_column": 0, "end_line": 2, "end_column": 52 }, { "span": "from theano.tensor.shared_randomstreams import RandomStreams", "start_line": 5, "start_column": 0, "end_line": 5, "end_column": 60 }, { "span": "import numpy as np", "start_line": 7, "start_column": 0, "end_line": 7, "end_column": 18 }, { "span": "import scipy.io", "start_line": 8, "start_column": 0, "end_line": 8, "end_column": 15 }, { "span": "import time", "start_line": 9, "start_column": 0, "end_line": 9, "end_column": 11 }, { "span": "import sys", "start_line": 10, "start_column": 0, "end_line": 10, "end_column": 10 }, { "span": "import logging", "start_line": 11, "start_column": 0, "end_line": 11, "end_column": 14 }, { "span": "import copy", "start_line": 12, "start_column": 0, "end_line": 12, "end_column": 11 } ]

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[ { "content": "# -*- coding: utf-8 -*-\n#----------------------------------------------------------------------------\n# Name: ObjectListView module initialization\n# Author: Phillip Piper\n# Created: 29 February 2008\n# SVN-ID: $Id$\n# Copyright: (c) 2008 by Phillip Piper\n# License: wxWindows license\n#----------------------------------------------------------------------------\n# Change log:\n# 2008/08/02 JPP Added list printing material\n# 2008/07/24 JPP Added list group related material\n# 2008/06/19 JPP Added sort event related material\n# 2008/04/11 JPP Initial Version\n\n\"\"\"\nAn ObjectListView provides a more convienent and powerful interface to a ListCtrl.\n\"\"\"\n\n__version__ = '1.2'\n__copyright__ = \"Copyright (c) 2008 Phillip Piper (phillip_piper@bigfoot.com)\"\n\nfrom ObjectListView import ObjectListView, VirtualObjectListView, ColumnDefn, FastObjectListView, GroupListView, ListGroup, BatchedUpdate\nfrom OLVEvent import CellEditFinishedEvent, CellEditFinishingEvent, CellEditStartedEvent, CellEditStartingEvent, SortEvent\nfrom OLVEvent import EVT_CELL_EDIT_STARTING, EVT_CELL_EDIT_STARTED, EVT_CELL_EDIT_FINISHING, EVT_CELL_EDIT_FINISHED, EVT_SORT\nfrom OLVEvent import EVT_COLLAPSING, EVT_COLLAPSED, EVT_EXPANDING, EVT_EXPANDED, EVT_GROUP_CREATING, EVT_GROUP_SORT\nfrom CellEditor import CellEditorRegistry, MakeAutoCompleteTextBox, MakeAutoCompleteComboBox\nfrom ListCtrlPrinter import ListCtrlPrinter, ReportFormat, BlockFormat, LineDecoration, RectangleDecoration, ImageDecoration\n\nimport Filter\n__all__ = [\n \"BatchedUpdate\",\n \"BlockFormat\",\n \"CellEditFinishedEvent\",\n \"CellEditFinishingEvent\",\n \"CellEditorRegistry\",\n \"CellEditStartedEvent\",\n \"CellEditStartingEvent\",\n \"ColumnDefn\",\n \"EVT_CELL_EDIT_FINISHED\",\n \"EVT_CELL_EDIT_FINISHING\",\n \"EVT_CELL_EDIT_STARTED\",\n \"EVT_CELL_EDIT_STARTING\",\n \"EVT_COLLAPSED\",\n \"EVT_COLLAPSING\",\n \"EVT_EXPANDED\",\n \"EVT_EXPANDING\",\n \"EVT_GROUP_CREATING\",\n \"EVT_GROUP_SORT\"\n \"EVT_SORT\",\n \"Filter\",\n \"FastObjectListView\",\n \"GroupListView\",\n \"ListGroup\",\n \"ImageDecoration\",\n \"MakeAutoCompleteTextBox\",\n \"MakeAutoCompleteComboBox\",\n \"ListGroup\",\n \"ObjectListView\",\n \"ListCtrlPrinter\",\n \"RectangleDecoration\",\n \"ReportFormat\",\n \"SortEvent\",\n \"VirtualObjectListView\",\n]\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 } ]

[ { "span": "from OLVEvent import EVT_CELL_EDIT_STARTING, EVT_CELL_EDIT_STARTED, EVT_CELL_EDIT_FINISHING, EVT_CELL_EDIT_FINISHED, EVT_SORT", "start_line": 24, "start_column": 0, "end_line": 24, "end_column": 125 }, { "span": "from OLVEvent import EVT_COLLAPSING, EVT_COLLAPSED, EVT_EXPANDING, EVT_EXPANDED, EVT_GROUP_CREATING, EVT_GROUP_SORT", "start_line": 25, "start_column": 0, "end_line": 25, "end_column": 115 }, { "span": "from ListCtrlPrinter import ListCtrlPrinter, ReportFormat, BlockFormat, LineDecoration, RectangleDecoration, ImageDecoration", "start_line": 27, "start_column": 0, "end_line": 27, "end_column": 124 } ]

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[ { "content": " def get_svn_revision(self):\n revision = 0\n urlre = re.compile('url=\"([^\"]+)\"')\n revre = re.compile('committed-rev=\"(\\d+)\"')\n\n for base,dirs,files in os.walk(os.curdir):\n if '.svn' not in dirs:\n dirs[:] = []\n continue # no sense walking uncontrolled subdirs\n dirs.remove('.svn')\n f = open(os.path.join(base,'.svn','entries'))\n data = f.read()\n f.close()\n\n if data.startswith('<?xml'):\n dirurl = urlre.search(data).group(1) # get repository URL\n localrev = max([int(m.group(1)) for m in revre.finditer(data)]+[0])\n else:\n try: svnver = int(data.splitlines()[0])\n except: svnver=-1\n if data<8:\n log.warn(\"unrecognized .svn/entries format; skipping %s\", base)\n dirs[:] = []\n continue\n \n data = map(str.splitlines,data.split('\\n\\x0c\\n'))\n del data[0][0] # get rid of the '8' or '9'\n dirurl = data[0][3]\n localrev = max([int(d[9]) for d in data if len(d)>9 and d[9]]+[0])\n if base==os.curdir:\n base_url = dirurl+'/' # save the root url\n elif not dirurl.startswith(base_url):\n dirs[:] = []\n continue # not part of the same svn tree, skip it\n revision = max(revision, localrev)\n\n return str(revision or get_pkg_info_revision())", "metadata": "root.egg_info.get_svn_revision", "header": "['class', 'egg_info', '(', 'Command', ')', ':', '___EOS___']", "index": 205 } ]

[ { "span": "svnver ", "start_line": 223, "start_column": 21, "end_line": 223, "end_column": 27 }, { "span": "svnver=", "start_line": 224, "start_column": 24, "end_line": 224, "end_column": 30 } ]

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[ { "content": "# -*- coding: utf-8 -*-\n# <nbformat>3.0</nbformat>\n\n# <headingcell level=1>\n\n# Goals\n\n# <markdowncell>\n\n# Some goals for this exercise:\n# \n# * to reacquaint ourselves with Python\n# * to start learning how to use a particular IPython notebook environment, one which is easy to jump right into, namely [Wakari](https://www.wakari.io/)\n# * to learn a bit about the international context before diving into the US Census.\n# * to get ourselves into looking at the Wikipedia as a data source.\n# \n# Thinking about populations of various geographic entities is a good place to start with open data. We can to work with numbers without necessarily involving complicated mathematics. Just addition if we're lucky. We can also think about geographical locations. We can build out from our initial explorations in a systematic manner.\n\n# <headingcell level=1>\n\n# Things to Think About\n\n# <markdowncell>\n\n# Off the top of your head:\n# \n# * What do you think is the current world population?\n# * How many countries are there?\n# * How many people are there in the USA? Canada? Mexico? Your favorite country?\n# * What is the minimum number of countries to add up to 50% of the world's population? How about 90%?\n# \n# Now go answer these questions looking on the web. Find some a source or two or three.\n\n# <headingcell level=1>\n\n# Data Source for Populations\n\n# <markdowncell>\n\n# Two open sources we'll consider:\n# \n# * [CIA World Factbook: Country Comparison Population](https://www.cia.gov/library/publications/the-world-factbook/rankorder/2119rank.html) (see also [The World Factbook: ABOUT :: COPYRIGHT AND CONTRIBUTORS](https://www.cia.gov/library/publications/the-world-factbook/docs/contributor_copyright.html))\n# * [List of countries by population (United Nations) - Wikipedia, the free encyclopedia](https://en.wikipedia.org/w/index.php?title=List_of_countries_by_population_(United_Nations)) (see also [Wikipedia:Reusing Wikipedia content - Wikipedia, the free encyclopedia](https://en.wikipedia.org/wiki/Wikipedia:Reusing_Wikipedia_content)) -- btw, not the same as [List of countries by population - Wikipedia, the free encyclopedia](https://en.wikipedia.org/wiki/List_of_countries_by_population).\n# \n# We will study how to parse these data sources in a later exercise, but for this exercise, the data sets have been parsed into [JSON format](https://en.wikipedia.org/wiki/JSON), which is easily loadable in many languages, including Python using the [json Python standard library](http://docs.python.org/2/library/json.html). We'll also use [requests](http://docs.python-requests.org/en/latest/).\n# \n# Let's look first at the Wikipedia source.\n\n# <codecell>\n\n# https://gist.github.com/rdhyee/8511607/raw/f16257434352916574473e63612fcea55a0c1b1c/population_of_countries.json\n# scraping of https://en.wikipedia.org/w/index.php?title=List_of_countries_by_population_(United_Nations)&oldid=590438477\n\n# read population in\nimport json\nimport requests\n\npop_json_url = \"https://gist.github.com/rdhyee/8511607/raw/f16257434352916574473e63612fcea55a0c1b1c/population_of_countries.json\"\npop_list= requests.get(pop_json_url).json()\npop_list\n\n# <headingcell level=1>\n\n# EXERCISES\n\n# <markdowncell>\n\n# Show how to calculate the total population according to the list in the Wikipedia. (Answer: 7,162,119,434)\n\n# <codecell>\n\ntotal = 0\nfor country in pop_list:\n total += country[2]\nprint total\n\n# <codecell>\n\nsum([country[2] for country in pop_list])\n\n# <markdowncell>\n\n# Calculate the total population of 196 entities that have a numeric rank. (Answer: 7,145,999,288) BTW, are those entities actually countries?\n\n# <codecell>\n\nsum([country[2] for country in pop_list if country[0] is not None])\n\n# <markdowncell>\n\n# Calculate the total population according to [The World Factbook: Country Comparison Population](https://www.cia.gov/library/publications/the-world-factbook/rankorder/2119rank.html) (See https://gist.github.com/rdhyee/8530164).\n\n# <codecell>\n\n# https://gist.github.com/rdhyee/8530164/raw/f8e842fe8ccd6e3bc424e3a24e41ef5c38f419e8/world_factbook_poulation.json\n# https://gist.github.com/rdhyee/8530164\n# https://www.cia.gov/library/publications/the-world-factbook/rankorder/2119rank.html\n# https://www.cia.gov/library/publications/the-world-factbook/rankorder/rawdata_2119.txt\n\n\nimport json\nimport requests\n\ncia_json_url = \"https://gist.github.com/rdhyee/8530164/raw/f8e842fe8ccd6e3bc424e3a24e41ef5c38f419e8/world_factbook_poulation.json\"\ncia_list= requests.get(cia_json_url).json()\n\n\ncia_world_pop = sum([r[2] for r in cia_list if r[1] != 'European Union'])\ncia_world_pop\n\n# <headingcell level=1>\n\n# CHALLENGE EXERCISE\n\n# <markdowncell>\n\n# Now for something more interesting. I'd like for us to get a feel of what it'd be like to pick a person completely at random from the world's population. Say, if you were picking 5 people -- where might these people be from? Of course, you won't be surprised to pick someone from China or India since those countries are so populous. But how likely will it be for someone from the USA to show up?\n# \n# To the end of answering this question, start thinking about writing a Python generator that will return the name of a country in which the probability of that country being returned is the proportion of the world's population represented by that country. \n# \n# Work with your neighbors -- we'll come back to this problem in detail in class on Thursday.\n\n# <codecell>\n\n# This solution is a bit \"fancy\" and can certainly be better commented.\n\nimport bisect\nimport random\nfrom itertools import repeat, islice\nfrom collections import Counter\n\n# http://stackoverflow.com/a/15889203/7782\n\n# depends on pop_list above\n \nworld_pop = sum([r[2] for r in pop_list])\ncum_pop = list(cumsum((r[2] for r in pop_list)))\n\n \n\n# <codecell>\n\n# generate 5 random countries and feed to Counter\nCounter(islice(random_country_weighted_by_pop(),5))\n\n# <markdowncell>\n\n# \n\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "def cumsum(lis):\n total = 0\n for x in lis:\n total += x\n yield total", "metadata": "root.cumsum", "header": "['module', '___EOS___']", "index": 132 }, { "content": "def random_country_weighted_by_pop():\n while True:\n yield pop_list[bisect.bisect_left(cum_pop,random.randint(1,world_pop))][1]", "metadata": "root.random_country_weighted_by_pop", "header": "['module', '___EOS___']", "index": 143 } ]

[ { "span": "import json", "start_line": 54, "start_column": 0, "end_line": 54, "end_column": 11 }, { "span": "import json", "start_line": 100, "start_column": 0, "end_line": 100, "end_column": 11 }, { "span": "from itertools import repeat, islice", "start_line": 128, "start_column": 0, "end_line": 128, "end_column": 36 } ]

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2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 0, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 4, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 4, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 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[ { "content": "def main():\n\n\n obj = om.ObjectModelItem('test')\n obj.addProperty('double', 1.0, attributes=om.PropertyAttributes(decimals=2, minimum=0, maximum=100, singleStep=0.5))\n obj.addProperty('double list', [1.0, 2.0, 3.0], attributes=om.PropertyAttributes(decimals=2, minimum=0, maximum=100, singleStep=0.5))\n\n obj.addProperty('int', 1, attributes=om.PropertyAttributes(minimum=0, maximum=100, singleStep=5))\n obj.addProperty('int list', [1, 2, 3], attributes=om.PropertyAttributes(minimum=0, maximum=100, singleStep=1))\n\n obj.addProperty('bool', True)\n\n obj.addProperty('str', 'value')\n\n obj.addProperty('str list', 0, attributes=om.PropertyAttributes(enumNames=['value 1', 'value 2', 'value 3']))\n\n obj.addProperty('color', [1.0, 0.5, 0.0])\n\n panel = PythonQt.dd.ddPropertiesPanel()\n panel.setBrowserModeToWidget()\n panel.show()\n\n panelConnector = propertyset.PropertyPanelConnector(obj.properties, panel)\n\n\n def onPropertyChanged(propertySet, propertyName):\n obj.properties.setPropertyAttribute('str list', 'enumNames', ['one','two','three'])\n\n obj.properties.connectPropertyChanged(onPropertyChanged)\n obj.setProperty('bool', False)\n\n assert 'one' in obj.properties.getPropertyAttribute('str list', 'enumNames')\n\n\n _pythonManager.consoleWidget().show()\n startApplication(enableQuitTimer=True)", "metadata": "root.main", "header": "['module', '___EOS___']", "index": 17 } ]

[ { "span": "panelConnector ", "start_line": 39, "start_column": 4, "end_line": 39, "end_column": 18 } ]

[]

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[ { "content": " def testLambda(self):\n f = lambda x: x\n self.assertEqual(f(1), 1)\n f = lambda x=1: x\n self.assertEqual(f(), 1)\n self.assertEqual(f(2), 2)\n\n f = lambda x, y: x*y\n self.assertEqual(f(2,3), 6)\n f = lambda x, y=4: x*y\n self.assertEqual(f(2), 8)\n h = Handler(5)\n f = lambda x: h.handle(x)\n self.assertTrue(f(5))\n self.assertFalse(f(4))\n\n f = lambda a, b=1, **kw: (a,b,kw)\n v = f(b = 2, c = 3, a = 1)\n self.assertEqual(v[0], 1)\n self.assertEqual(v[1], 2)\n self.assertEqual(v[2]['c'], 3)\n\n f = lambda a, b=1, *args: (a, b, args)\n v = f(1,2,3,4)\n self.assertEqual(v[2][0], 3)\n self.assertEqual(v[2][1], 4)\n\n try:\n class ClassWithLambdas1:\n f1 = [lambda *args: args[0]]\n except:\n self.fail(\"issue #385 - lambda in class definition\")\n else:\n c = ClassWithLambdas1()\n self.assertEqual(c.f1[0](1), 1, 'issue #385 - lambda function called as bound method')\n\n try:\n class ClassWithLambdas2:\n f2 = lambda *args: args[0]\n except:\n self.fail(\"issue #385 - lambda in class definition\")\n else:\n c = ClassWithLambdas2()\n self.assertEqual(c.f2(1), c, 'issue #385 - bound method lambda called as function')", "metadata": "root.FunctionTest.testLambda", "header": "['class', 'FunctionTest', '(', 'UnitTest', ')', ':', '___EOS___']", "index": 72 }, { "content": " def test_callable(self):\n try:\n self.assertEqual(Callable()(), 5)\n except:\n self.fail(\"Bug #572 Callable()() __call__ not supported\")\n self.assertTrue(callable(Callable))\n self.assertTrue(\n callable(Callable()),\n \"Bug #572 callable(Callable()) __call__ not supported\",\n )", "metadata": "root.FunctionTest.test_callable", "header": "['class', 'FunctionTest', '(', 'UnitTest', ')', ':', '___EOS___']", "index": 117 }, { "content": " def testNameMapping(self):\n r = call(1, 2, this=3, label=4)\n self.assertEqual(r[0], 'mapping-test')\n self.assertEqual(r[1], 1)\n self.assertEqual(r[2], 2)\n self.assertEqual(r[3], 3)\n self.assertEqual(r[4], 4)\n try:\n self.assertEqual(Text('foo'), 'Text: foo')\n except:\n self.fail(\"Bug #574: javascript keywords\")", "metadata": "root.FunctionTest.testNameMapping", "header": "['class', 'FunctionTest', '(', 'UnitTest', ')', ':', '___EOS___']", "index": 173 }, { "content": " def testFactory(self):\n\n Factory2.gregister(\"passme\", PassMeAClass)\n Factory2.gregister(\"exchild\", ExampleChildClass)\n Factory2.gregister(\"mscp1\", ExampleMultiSuperclassParent1)\n\n pmc = Factory2.ggetObject(\"passme\")\n self.assertEqual(pmc.foo(), \"foo in PassMeAClass\")\n\n try:\n pmc = Factory2.ggetObject(\"mscp1\", 5)\n except:\n self.assertEqual(False, True, \"Exception indicates bug in compiler: 'Error: uncaught exception: ExampleMultiSuperclassParent1() arguments after ** must be a dictionary 5'\")\n else:\n self.assertEqual(pmc.x, 5)\n try:\n pmc = Factory2.ggetObject(\"exchild\", 5, 7) # 5 is ignored\n except:\n self.assertEqual(False, True, \"Exception indicates bug in compiler: 'Error: uncaught exception: ExampleChildClass() arguments after ** must be a dictionary 7'\")\n else:\n self.assertEqual(pmc.prop_a, 1)\n self.assertEqual(pmc.prop_b, 7)", "metadata": "root.FunctionTest.testFactory", "header": "['class', 'FunctionTest', '(', 'UnitTest', ')', ':', '___EOS___']", "index": 185 } ]

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[ { "content": " def addWord(self,D,s,pos,v):\n #extract string of word from the sentence\n word = s[pos]\n #base case. v is 0, so we're just returning D with the frequency of s[w] incremented, not altering subdictionaries\n if v <= 0:\n # increment the frequency if the word already exists\n if word in D:\n D[word].set_freq(D[word].freq+1)\n # otherwise, create a new entry in D\n else:\n D[word] = Word(word)\n return D\n\n # if v is greater than 0, we increment the frequency and ask for subdictionaries\n elif v>0:\n if word in D:\n newsub1 = D[word].sub1\n if pos < len(s)-1:\n newsub1 = self.addWord(D[word].sub1,s,pos+1,v-1)\n\n newsub2 = D[word].sub2\n if v>1 and pos < len(s)-2:\n newsub2 = self.addWord(D[word].sub2,s,pos+2,0)\n\n D[word].set_freq(D[word].freq+1)\n D[word].set_sub1(newsub1)\n D[word].set_sub2(newsub2)\n return D\n else:\n D[word] = Word(word)\n\n newsub1 = {}\n if pos < len(s)-1:\n newsub1 = self.addWord(D[word].sub1,s,pos+1,v-1)\n\n newsub2 = {}\n if v>1 and pos < len(s)-2:\n newsub2 = self.addWord(D[word].sub2,s,pos+2,0)\n\n\n D[word].set_sub1(newsub1)\n D[word].set_sub2(newsub2)\n return D", "metadata": "root.Voicebox.addWord", "header": "['class', 'Voicebox', '(', 'object', ')', ':', '___EOS___']", "index": 166 } ]

[ { "span": "v>0:", "start_line": 180, "start_column": 13, "end_line": 180, "end_column": 16 } ]

[ { "span": "v <= 0:", "start_line": 170, "start_column": 11, "end_line": 170, "end_column": 17 } ]

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[ { "content": " def intern(self):\n \"\"\"Returns either itself or a canonical copy of itself.\"\"\"\n\n # If this is an interned object, return it\n if hasattr(self, '_interned'):\n return self._internable_stats.incr('self')\n\n #\n # Got to find or create an interned object identical to this\n # one. Auto-initialize the class if need be.\n #\n kls = self.__class__\n\n if not hasattr(kls, dict_name):\n kls._internable_init()\n\n obj = kls._internable_dict.get(self)\n if (obj):\n # Found an interned copy.\n kls._internable_stats.incr('found')\n return obj\n\n # Create an interned copy. Take care to only keep a weak\n # reference to the object itself.\n def object_collected(obj):\n kls._internable_stats.incr('collected')\n # print(\"Object %s garbage collected\" % obj)\n pass\n\n ref = weakref.ref(self, object_collected)\n kls._internable_dict[self] = ref\n self._interned = True\n kls._internable_stats.incr('inserted')\n return self", "metadata": "root.Internable.intern", "header": "['class', 'Internable', '(', 'object', ')', ':', '___EOS___']", "index": 69 } ]

[ { "span": "pass", "start_line": 96, "start_column": 12, "end_line": 96, "end_column": 16 } ]

[]

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[ { "content": "\tdef test_accessor_getattr_for_nonexistant_component(self):\n\t\tfrom grease import Entity\n\t\tcomp = TestComponent()\n\t\tworld = TestWorld(test=comp)\n\t\tentity = Entity(world)\n\t\tself.assertTrue(entity not in comp)\n\t\tself.assertRaises(AttributeError, getattr, entity, 'foo')", "metadata": "root.EntityTestCase.test_accessor_getattr_for_nonexistant_component", "header": "['class', 'EntityTestCase', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 47 }, { "content": "\tdef test_accessor_getattr_for_non_member_entity(self):\n\t\tfrom grease import Entity\n\t\tcomp = TestComponent()\n\t\tworld = TestWorld(test=comp)\n\t\tentity = Entity(world)\n\t\taccessor = entity.test\n\t\tself.assertFalse(entity in comp)\n\t\tself.assertRaises(AttributeError, getattr, accessor, 'attr')", "metadata": "root.EntityTestCase.test_accessor_getattr_for_non_member_entity", "header": "['class', 'EntityTestCase', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 55 }, { "content": "\tdef test_accessor_getattr_for_member_entity(self):\n\t\tfrom grease import Entity\n\t\tcomp = TestComponent()\n\t\tworld = TestWorld(test=comp)\n\t\tentity = Entity(world)\n\t\tcomp.set(entity)\n\t\tself.assertTrue(entity in comp)\n\t\tself.assertEqual(entity.test.attr, 'deadbeef')", "metadata": "root.EntityTestCase.test_accessor_getattr_for_member_entity", "header": "['class', 'EntityTestCase', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 64 }, { "content": "\tdef test_accessor_setattr_adds_non_member_entity(self):\n\t\tfrom grease import Entity\n\t\tcomp = TestComponent()\n\t\tworld = TestWorld(test=comp)\n\t\tentity = Entity(world)\n\t\tself.assertFalse(entity in comp)\n\t\tentity.test.attr = 'foobar'\n\t\tself.assertEqual(entity.test.attr, 'foobar')\n\t\tself.assertTrue(entity in comp)", "metadata": "root.EntityTestCase.test_accessor_setattr_adds_non_member_entity", "header": "['class', 'EntityTestCase', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 73 }, { "content": "\tdef test_accessor_setattr_for_member_entity(self):\n\t\tfrom grease import Entity\n\t\tcomp = TestComponent()\n\t\tworld = TestWorld(test=comp)\n\t\tentity = Entity(world)\n\t\tcomp.set(entity)\n\t\tself.assertNotEqual(entity.test.attr, 'spam')\n\t\tentity.test.attr = 'spam'\n\t\tself.assertTrue(entity in comp)\n\t\tself.assertEqual(entity.test.attr, 'spam')", "metadata": "root.EntityTestCase.test_accessor_setattr_for_member_entity", "header": "['class', 'EntityTestCase', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 83 }, { "content": "\tdef test_delattr(self):\n\t\tfrom grease import Entity\n\t\tcomp = TestComponent()\n\t\tworld = TestWorld(test=comp)\n\t\tentity = Entity(world)\n\t\tcomp.set(entity)\n\t\tself.assertTrue(entity in comp)\n\t\tdel entity.test\n\t\tself.assertFalse(entity in comp)", "metadata": "root.EntityTestCase.test_delattr", "header": "['class', 'EntityTestCase', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 110 }, { "content": "\tdef test_entity_id(self):\n\t\tfrom grease import Entity\n\t\tworld = TestWorld()\n\t\tentity1 = Entity(world)\n\t\tentity2 = Entity(world)\n\t\tself.assertTrue(entity1.entity_id > 0)\n\t\tself.assertTrue(entity2.entity_id > 0)\n\t\tself.assertNotEqual(entity1.entity_id, entity2.entity_id)", "metadata": "root.EntityTestCase.test_entity_id", "header": "['class', 'EntityTestCase', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 120 }, { "content": "\tdef test_setattr_nonmember_entity(self):\n\t\tfrom grease.entity import EntityComponentAccessor\n\t\tfrom grease import Entity\n\t\tworld = TestWorld()\n\t\tentity = Entity(world)\n\t\tcomponent = TestComponent()\n\t\taccessor = EntityComponentAccessor(component, entity)\n\t\tself.assertRaises(AttributeError, getattr, entity, 'baz')\n\t\tself.assertTrue(entity not in component)\n\t\taccessor.baz = 1000\n\t\tself.assertTrue(entity in component)\n\t\tself.assertEqual(accessor.baz, 1000)\n\t\tself.assertEqual(component[entity].baz, 1000)", "metadata": "root.EntityComponentAccessorTestCase.test_setattr_nonmember_entity", "header": "['class', 'EntityComponentAccessorTestCase', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 202 } ]

[ { "span": "self.assertTrue(entity not in comp)", "start_line": 52, "start_column": 2, "end_line": 52, "end_column": 37 }, { "span": "self.assertFalse(entity in comp)", "start_line": 61, "start_column": 2, "end_line": 61, "end_column": 34 }, { "span": "self.assertTrue(entity in comp)", "start_line": 70, "start_column": 2, "end_line": 70, "end_column": 33 }, { "span": "self.assertFalse(entity in comp)", "start_line": 78, "start_column": 2, "end_line": 78, "end_column": 34 }, { "span": "self.assertTrue(entity in comp)", "start_line": 81, "start_column": 2, "end_line": 81, "end_column": 33 }, { "span": "self.assertTrue(entity in comp)", "start_line": 91, "start_column": 2, "end_line": 91, "end_column": 33 }, { "span": "self.assertTrue(entity in comp)", "start_line": 116, "start_column": 2, "end_line": 116, "end_column": 33 }, { "span": "self.assertFalse(entity in comp)", "start_line": 118, "start_column": 2, "end_line": 118, "end_column": 34 }, { "span": "self.assertTrue(entity1.entity_id > 0)", "start_line": 125, "start_column": 2, "end_line": 125, "end_column": 40 }, { "span": "self.assertTrue(entity2.entity_id > 0)", "start_line": 126, "start_column": 2, "end_line": 126, "end_column": 40 }, { "span": "self.assertTrue(entity not in component)", "start_line": 210, "start_column": 2, "end_line": 210, "end_column": 42 }, { "span": "self.assertTrue(entity in component)", "start_line": 212, "start_column": 2, "end_line": 212, "end_column": 38 } ]

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[ { "content": " def execute(self, parameters, messages):\n \"\"\"The source code of the tool.\"\"\"\n\n # Describe the supplied netCDF File.\n ncFP = arcpy.NetCDFFileProperties(parameters[0].valueAsText)\n selectedVars = parameters[1].valueAsText.split(';')\n\n # Coordinate variables can be identified via values of their standard\n # name attribute or values of their untis attribute.\n\n XCoordNamesList = [\"longitude\", \"projection_x_coordinate\",\n \"grid_longitude\"]\n YCoordNamesList = [\"latitude\", \"projection_y_coordinate\",\n \"grid_longitude\"]\n XUnitNamesList = [\"degrees_east\", \"degree_east\", \"degree_E\",\n \"degrees_E\", \"degreeE\", \"degreesE\" ]\n YUnitNamesList = [\"degrees_north\", \"degree_north\", \"degree_N\",\n \"degrees_N\", \"degreeN\", \"degreesN\"]\n XAxisNameList = [\"X\"]\n YAxisNameList = [\"Y\"]\n\n # Case 1: Independent latitude, Longitude, Vertical and Time Axes\n # Get the dimensions associated with the first variable. We can use a\n # single variable because tool validation guarentees that all the\n # selected variables have the same dimensions.\n dimNames = ncFP.getDimensionsByVariable(str(selectedVars[0]))\n x_variable = \"\"\n y_variable = \"\"\n for dimension in dimNames:\n # Per CF 1.6 (Chapter 5, preamble): \"All of a variable's dimensions\n # that are latitude, longitude, vertical, or time dimensions must\n # have corresponding coordinate variables, i.e., one-dimensional\n # variables with the same name as the dimension.\"\n # Identify the coordinate variable by its standard name or units.\n\n try:\n SNattributeValue = ncFP.getAttributeValue(dimension,\n \"standard_name\")\n except:\n SNattributeValue = \"missing\"\n\n try:\n UNattributeValue = ncFP.getAttributeValue(dimension, \"units\")\n except:\n UNattributeValue = \"missing\"\n\n try:\n AXattributeValue = ncFP.getAttributeValue(dimension,\"axis\")\n except:\n AXattributeValue = \"missing\"\n\n if SNattributeValue in XCoordNamesList:\n x_variable = dimension\n if SNattributeValue in YCoordNamesList:\n y_variable = dimension\n if UNattributeValue in XUnitNamesList:\n x_variable = dimension\n if UNattributeValue in YUnitNamesList:\n y_variable = dimension\n if AXattributeValue in XAxisNameList:\n x_variable = dimension\n if AXattributeValue in YAxisNameList:\n y_variable = dimension\n\n # Set the row dimensions parameter of the Make NetCDF Feature Layer tool\n # to the names of the latitude and longitude dimensions\n rowDimensions = \"\"\n rowDimensions = x_variable + \";\" + y_variable\n\n\n # Case #2: 2 dimensional lat/long coordinate variable\n # If unsuccessful in locating variable for x and y coordinates based on\n # latitude and longitude, check to see if variable of interest is\n # georeferenced via a 2 dimensional lat/long coordinate variable\n\n # Coordinate Variable Method will only work if CDL conforms to the\n # CF 1.6 convention (section 2.4) that \"All other dimensions should,\n # whenever possible, be placed to the left of the spatiotemporal\n # dimensions.\"\n\n if (not x_variable) or (not y_variable):\n try:\n coordAttributeValue = ncFP.getAttributeValue(str(selectedVars[0]),\n \"coordinates\")\n coordVariables = coordAttributeValue.split(' ')\n for element in coordVariables:\n try:\n SNattributeValue = ncFP.getAttributeValue(element,\n \"standard_name\")\n except:\n SNattributeValue = \"missing\"\n\n try:\n UNattributeValue = ncFP.getAttributeValue(element,\n \"units\")\n except:\n UNattributeValue = \"missing\"\n\n try:\n AXattributeValue = ncFP.getAttributeValue(element,\n \"axis\")\n except:\n AXattributeValue = \"missing\"\n\n if SNattributeValue in XCoordNamesList:\n x_variable = element\n if SNattributeValue in YCoordNamesList:\n y_variable = element\n if UNattributeValue in XUnitNamesList:\n x_variable = element\n if UNattributeValue in YUnitNamesList:\n y_variable = element\n if AXattributeValue in XAxisNameList:\n x_variable = element\n if AXattributeValue in YAxisNameList:\n y_variable = element\n\n # Set the row dimensions parameter of the Make NetCDF Feature\n # Layer tool to the names of the coordinate variables\n dimNames = ncFP.getDimensionsByVariable(str(selectedVars[0]))\n rowDimensions = str(dimNames[-1]) + \";\" + str(dimNames[-2])\n\n\n except:\n CoordAttributeValue = \"missing\"\n\n # Convert the python list of selected variables into a single\n # (comma delimited string if necessary.\n if selectedVars.count > 1:\n variable_list = ','.join([str(x) for x in selectedVars])\n else:\n variable_list = selectedVars[0]\n\n if (x_variable) and (y_variable):\n if (debug):\n arcpy.AddWarning(\"netCDFFile Name: %s\" \\\n % parameters[0].valueAsText)\n arcpy.AddWarning(\"Variable List: %s\" % variable_list)\n arcpy.AddWarning(\"x_variable: %s\" % x_variable)\n arcpy.AddWarning(\"y_variable: %s\" % y_variable)\n arcpy.AddWarning(\"Output Feature Layer: %s \" \\\n % parameters[2].valueAsText)\n arcpy.AddWarning(\"Row Dimensions: %s \" % rowDimensions)\n\n result1 = arcpy.MakeNetCDFFeatureLayer_md(parameters[0].valueAsText,\n variable_list,\n x_variable,\n y_variable,\n parameters[2].value,\n rowDimensions)\n # Force the netCDF Feature Layer to be added to the display\n arcpy.SetParameter(3, result1)\n else:\n arcpy.AddError(\"Unable to automatically determine x and y \" +\n \"variables from the netCDF file. Use Make NetCDF \" +\n \"Feature Layer tool.\")\n return", "metadata": "root.MakeNetCDFRegularPointsLayer.execute", "header": "['class', 'MakeNetCDFRegularPointsLayer', '(', 'object', ')', ':', '___EOS___']", "index": 105 } ]

[ { "span": "CoordAttributeValue ", "start_line": 229, "start_column": 16, "end_line": 229, "end_column": 35 } ]

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[ { "content": " def __init__(self, seed=None):\n self.pool_index = 0\n self.digest = None\n self.next_byte = 0\n self.lock = _threading.Lock()\n try:\n import hashlib\n self.hash = hashlib.sha1()\n self.hash_len = 20\n except:\n try:\n import sha\n self.hash = sha.new()\n self.hash_len = 20\n except:\n import md5\n self.hash = md5.new()\n self.hash_len = 16\n self.pool = '\\0' * self.hash_len\n if not seed is None:\n self.stir(seed)\n self.seeded = True\n else:\n self.seeded = False", "metadata": "root.EntropyPool.__init__", "header": "['class', 'EntropyPool', '(', 'object', ')', ':', '___EOS___']", "index": 23 }, { "content": " def _maybe_seed(self):\n if not self.seeded:\n try:\n seed = os.urandom(16)\n except:\n try:\n r = file('/dev/urandom', 'r', 0)\n try:\n seed = r.read(16)\n finally:\n r.close()\n except:\n seed = str(time.time())\n self.seeded = True\n self.stir(seed, True)", "metadata": "root.EntropyPool._maybe_seed", "header": "['class', 'EntropyPool', '(', 'object', ')', ':', '___EOS___']", "index": 64 } ]

[ { "span": "except:", "start_line": 32, "start_column": 8, "end_line": 32, "end_column": 15 }, { "span": "except:", "start_line": 37, "start_column": 12, "end_line": 37, "end_column": 19 }, { "span": "except:", "start_line": 68, "start_column": 12, "end_line": 68, "end_column": 19 }, { "span": "except:", "start_line": 75, "start_column": 16, "end_line": 75, "end_column": 23 } ]

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[ { "content": "import os\nimport sys\nfrom collections import deque\nimport string\nimport argparse\nimport cStringIO\nimport operator\nimport cPickle as pickle\nfrom collections import deque\nimport math\nimport re\nimport cmd\nimport readline\ntry:\n from gluon import DAL\nexcept ImportError as err:\n print('gluon path not found')\n\n\n\n\n\n\n\n\n\n\n\nif __name__ == '__main__':\n oCopy = setCopyDB()\n db = None\n targetDB = None\n dbfolder = None\n clean = False\n model = None\n truncate = False\n\n parser = argparse.ArgumentParser(description='\\\nsamplecmd line:\\n\\\n-f ./blueLite/db_storage -i -y sqlite://storage.sqlite -Y sqlite://storage2.sqlite -d ./blueLite/pyUtils/sql/blueSQL -t True',\n epilog='')\n reqGroup = parser.add_argument_group('Required arguments')\n reqGroup.add_argument('-f', '--sourceFolder', required=True, help=\"path to the 'source' folder of the 'source' DB\")\n reqGroup.add_argument('-F', '--targetFolder', required=False, help=\"path to the 'target' folder of the 'target' DB\")\n reqGroup.add_argument('-y', '--sourceConnectionString', required=True, help=\"source db connection string ()\\n\\\n------------------------------------------------\\n\\\n\\\nsqlite://storage.db\\n\\\nmysql://username:password@localhost/test\\n\\\npostgres://username:password@localhost/test\\n\\\nmssql://username:password@localhost/test\\n\\\nfirebird://username:password@localhost/test\\n\\\noracle://username/password@test\\n\\\ndb2://username:password@test\\n\\\ningres://username:password@localhost/test\\n\\\ninformix://username:password@test\\n\\\n\\\n------------------------------------------------\")\n reqGroup.add_argument('-Y', '--targetConnectionString', required=True,\n help=\"target db type (sqlite,mySql,etc.)\")\n autoImpGroup = parser.add_argument_group('optional args (auto_import)')\n autoImpGroup.add_argument('-a', '--autoimport', required=False, help='set to True to bypass loading of the model')\n\n \"\"\"\n\n *** removing -m/-M options for now --> i need a\n better regex to match db.define('bla')...with optional db.commit()\n\n modelGroup=parser.add_argument_group('optional args (create model)')\n modelGroup.add_argument('-m','--sourcemodel'\\\n ,required=False\\\n ,help='to create a model from an existing model, point to the source model')\n modelGroup.add_argument('-M','--targetmodel'\\\n ,required=False\\\n ,help='to create a model from an existing model, point to the target model')\n\n \"\"\"\n\n miscGroup = parser.add_argument_group('optional args/tasks')\n miscGroup.add_argument('-i', '--interactive', required=False, action='store_true', help='run in interactive mode')\n miscGroup.add_argument(\n '-d', '--dal', required=False, help='path to dal.py')\n miscGroup.add_argument('-t', '--truncate', choices=['True', 'False'], help='delete the records but *not* the table of the SOURCE DB')\n miscGroup.add_argument('-b', '--tables', required=False, type=list, help='optional list (comma delimited) of SOURCE tables to truncate, defaults to all')\n miscGroup.add_argument('-c', '--clean', required=False, help='delete the DB,tables and the log file, WARNING: this is unrecoverable')\n\n args = parser.parse_args()\n db = None\n mDal = None\n\n try:\n oCopy.sourceFolder = args.sourceFolder\n oCopy.targetFolder = args.sourceFolder\n sourceItems = string.split(args.sourceConnectionString, '://')\n oCopy.sourcedbType = sourceItems[0]\n oCopy.sourcedbName = sourceItems[1]\n targetItems = string.split(args.targetConnectionString, '://')\n oCopy.targetdbType = targetItems[0]\n oCopy.targetdbName = targetItems[1]\n except Exception, err:\n print('EXCEPTION: {0}'.format(err))\n\n if args.dal:\n try:\n autoImport = True\n if args.autoimport:\n autoImport = args.autoimport\n #sif not DAL in globals:\n #if not sys.path.__contains__():\n oCopy.dalPath = args.dal\n mDal = oCopy._getDal()\n db = oCopy.instDB(args.sourceFolder, args.sourceConnectionString,\n autoImport)\n except Exception, err:\n print('EXCEPTION: could not set DAL\\n{0}'.format(err))\n if args.truncate:\n try:\n if args.truncate:\n if args.tables:\n tables = string.split(string.strip(args.tables), ',')\n else:\n oCopy.truncatetables([])\n except Exception, err:\n print('EXCEPTION: could not truncate tables\\n{0}'.format(err))\n try:\n if args.clean:\n oCopy.delete_DB_tables(oCopy.targetFolder, oCopy.targetType)\n except Exception, err:\n print('EXCEPTION: could not clean db\\n{0}'.format(err))\n\n \"\"\"\n *** goes with -m/-M options... removed for now\n\n if args.sourcemodel:\n try:\n oCopy.sourceModel=args.sourcemodel\n oCopy.targetModel=args.sourcemodel\n oCopy.createModel()\n except Exception, err:\n print('EXCEPTION: could not create model\\n\\\nsource model: {0}\\n\\\ntarget model: {1}\\n\\\n{2}'.format(args.sourcemodel,args.targetmodel,err))\n \"\"\"\n\n if args.sourceFolder:\n try:\n oCopy.sourceFolder = os.path.abspath(args.sourceFolder)\n oCopy.createfolderPath(oCopy.sourceFolder)\n except Exception, err:\n print('EXCEPTION: could not create folder path\\n{0}'.format(err))\n else:\n oCopy.dbStorageFolder = os.path.abspath(os.getcwd())\n if args.targetFolder:\n try:\n oCopy.targetFolder = os.path.abspath(args.targetFolder)\n oCopy.createfolderPath(oCopy.targetFolder)\n except Exception, err:\n print('EXCEPTION: could not create folder path\\n{0}'.format(err))\n if not args.interactive:\n try:\n oCopy.copyDB()\n except Exception, err:\n print('EXCEPTION: could not make a copy of the database\\n{0}'.format(err))\n else:\n s = dalShell()\n s.shell(db)\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "class refTable(object):\n\n\n\n\n", "metadata": "root.refTable", "header": "['module', '___EOS___']", "index": 19 }, { "content": " def __init__(self):\n self.columns = None\n self.rows = None", "metadata": "root.refTable.__init__", "header": "['class', 'refTable', '(', 'object', ')', ':', '___EOS___']", "index": 20 }, { "content": " def getcolHeader(self, colHeader):\n return \"{0}\".format(' | '.join([string.join(string.strip('**{0}**'.format(item)),\n '') for item in colHeader]))", "metadata": "root.refTable.getcolHeader", "header": "['class', 'refTable', '(', 'object', ')', ':', '___EOS___']", "index": 24 }, { "content": " def wrapTable(\n self, rows, hasHeader=False, headerChar='-', delim=' | ', justify='left',\n separateRows=False, prefix='', postfix='', wrapfunc=lambda x: x):\n\n def rowWrapper(row):\n\n '''---\n newRows is returned like\n [['w'], ['x'], ['y'], ['z']]\n ---'''\n newRows = [wrapfunc(item).split('\\n') for item in row]\n self.rows = newRows\n '''---\n rowList gives like newRows but\n formatted like [[w, x, y, z]]\n ---'''\n rowList = [[substr or '' for substr in item]\n for item in map(None, *newRows)]\n return rowList\n\n logicalRows = [rowWrapper(row) for row in rows]\n\n columns = map(None, *reduce(operator.add, logicalRows))\n self.columns = columns\n\n maxWidths = [max(\n [len(str\n (item)) for\n item in column]\n ) for column\n in columns]\n\n rowSeparator = headerChar * (len(prefix) + len(postfix) + sum(maxWidths) +\n len(delim) * (len(maxWidths) - 1))\n\n justify = {'center': str\n .center,\n 'right': str\n .rjust,\n 'left': str.\n ljust\n }[justify\n .lower(\n )]\n\n output = cStringIO.StringIO()\n\n if separateRows:\n print >> output, rowSeparator\n\n for physicalRows in logicalRows:\n for row in physicalRows:\n print >> output,\\\n prefix + delim.join([\n justify(str(item), width) for (\n item, width) in zip(row, maxWidths)]\n ) + postfix\n\n if separateRows or hasHeader:\n print >> output, rowSeparator\n hasHeader = False\n return output.getvalue()", "metadata": "root.refTable.wrapTable", "header": "['class', 'refTable', '(', 'object', ')', ':', '___EOS___']", "index": 28 }, { "content": " def wrap_onspace(self, text, width):\n return reduce(lambda line, word, width=width: '{0}{1}{2}'\n .format(line, ' \\n'[(len(\n line[line.rfind('\\n'\n ) + 1:]) + len(\n word.split('\\n', 1)[0]) >=\n width)], word), text.split(' '))", "metadata": "root.refTable.wrap_onspace", "header": "['class', 'refTable', '(', 'object', ')', ':', '___EOS___']", "index": 91 }, { "content": " def wrap_onspace_strict(self, text, width):\n wordRegex = re.compile(r'\\S{' + str(width) + r',}')\n return self.wrap_onspace(\n wordRegex.sub(\n lambda m: self.\n wrap_always(\n m.group(), width), text\n ), width)", "metadata": "root.refTable.wrap_onspace_strict", "header": "['class', 'refTable', '(', 'object', ')', ':', '___EOS___']", "index": 99 }, { "content": " def wrap_always(self, text, width):\n return '\\n'.join(\n [text[width * i:width * (i + 1\n )] for i in xrange(\n int(math.ceil(1. * len(\n text) / width)))])", "metadata": "root.refTable.wrap_always", "header": "['class', 'refTable', '(', 'object', ')', ':', '___EOS___']", "index": 108 }, { "content": "class tableHelper():\n\n\n\n", "metadata": "root.tableHelper", "header": "['module', '___EOS___']", "index": 116 }, { "content": " def __init__(self):\n self.oTable = refTable()", "metadata": "root.tableHelper.__init__", "header": "['class', 'tableHelper', '(', ')', ':', '___EOS___']", "index": 117 }, { "content": " def getAsRows(self, data):\n return [row.strip().split(',') for row in data.splitlines()]", "metadata": "root.tableHelper.getAsRows", "header": "['class', 'tableHelper', '(', ')', ':', '___EOS___']", "index": 120 }, { "content": " def getTable_noWrap(self, data, header=None):\n rows = self.getAsRows(data)\n if header is not None:\n hRows = [header] + rows\n else:\n hRows = rows\n table = self.oTable.wrapTable(hRows, hasHeader=True)\n return table", "metadata": "root.tableHelper.getTable_noWrap", "header": "['class', 'tableHelper', '(', ')', ':', '___EOS___']", "index": 123 }, { "content": " def getTable_Wrap(self, data, wrapStyle, header=None, width=65):\n wrapper = None\n if len(wrapStyle) > 1:\n rows = self.getAsRows(data)\n if header is not None:\n hRows = [header] + rows\n else:\n hRows = rows\n\n for wrapper in (self.oTable.wrap_always,\n self.oTable.wrap_onspace,\n self.oTable.wrap_onspace_strict):\n return self.oTable.wrapTable(hRows, hasHeader=True, separateRows=True, prefix='| ', postfix=' |', wrapfunc=lambda x:\n wrapper(x, width))\n else:\n return self.getTable_noWrap(data, header)", "metadata": "root.tableHelper.getTable_Wrap", "header": "['class', 'tableHelper', '(', ')', ':', '___EOS___']", "index": 132 }, { "content": " def getAsErrorTable(self, err):\n return self.getTable_Wrap(err, None)", "metadata": "root.tableHelper.getAsErrorTable", "header": "['class', 'tableHelper', '(', ')', ':', '___EOS___']", "index": 149 }, { "content": "class console:\n\n\n\n\n\n\n\n '''---\n DEFAULT COMMANDS (begins with cmd_)\n ---'''\n\n\n\n\n\n", "metadata": "root.console", "header": "['module', '___EOS___']", "index": 153 }, { "content": " def __init__(self, prompt, banner=None):\n self.prompt = prompt\n self.banner = banner\n self.commands = {}\n self.commandSort = []\n self.db = None\n\n for i in dir(self):\n if \"cmd_\" == i[:4]:\n cmd = i.split(\"cmd_\")[1].lower()\n self.commands[cmd] = getattr(self, i)\n try:\n self.commandSort.append((int(self\n .commands[cmd].__doc__.split(\n \"|\")[0]), cmd))\n except:\n pass\n\n self.commandSort.sort()\n self.commandSort = [i[1] for i in self.commandSort]\n\n self.var_DEBUG = False\n self.var_tableStyle = ''\n\n self.configvars = {}\n for i in dir(self):\n if \"var_\" == i[:4]:\n var = i.split(\"var_\")[1]\n self.configvars[var] = i", "metadata": "root.console.__init__", "header": "['class', 'console', ':', '___EOS___']", "index": 154 }, { "content": " def setBanner(self, banner):\n self.banner = banner", "metadata": "root.console.setBanner", "header": "['class', 'console', ':', '___EOS___']", "index": 184 }, { "content": " def execCmd(self, db):\n self.db = db\n print self.banner\n while True:\n try:\n command = raw_input(self.prompt)\n try:\n self.execCommand(command)\n except:\n self.execute(command)\n except KeyboardInterrupt:\n break\n except EOFError:\n break\n except Exception, a:\n self.printError(a)\n print (\"\\r\\n\\r\\nBye!...\")\n sys.exit(0)", "metadata": "root.console.execCmd", "header": "['class', 'console', ':', '___EOS___']", "index": 187 }, { "content": " def printError(self, err):\n sys.stderr.write(\"Error: {0}\\r\\n\".format(str(err),))\n if self.var_DEBUG:\n pass", "metadata": "root.console.printError", "header": "['class', 'console', ':', '___EOS___']", "index": 206 }, { "content": " def execute(self, cmd):\n try:\n if not '-table ' in cmd:\n exec '{0}'.format(cmd)\n else:\n file = None\n table = None\n\n fields = []\n items = string.split(cmd, ' ')\n invalidParams = []\n table = self.getTable(items[1])\n allowedParams = ['fields', 'file']\n for i in items:\n if '=' in i and not string.split(i, '=')[0] in allowedParams:\n try:\n invalidParams.append(i)\n except Exception, err:\n raise Exception('invalid parameter\\n{0}'.format(i))\n else:\n if 'file=' in i:\n file = os.path.abspath(string.strip(string.split(\n i, '=')[1]))\n if 'fields=' in i:\n for field in string.split(string.split(i, '=')[1], ','):\n if field in self.db[table].fields:\n fields.append(string.strip(field))\n\n if len(invalidParams) > 0:\n print('the following parameter(s) is not valid\\n{0}'.format(\n string.join(invalidParams, ',')))\n else:\n try:\n self.cmd_table(table, file, fields)\n except Exception, err:\n print('could not generate table for table {0}\\n{1}'\n .format(table, err))\n except Exception, err:\n print('sorry, can not do that!\\n{0}'.format(err))", "metadata": "root.console.execute", "header": "['class', 'console', ':', '___EOS___']", "index": 211 }, { "content": " def getTable(self, tbl):\n for mTbl in db.tables:\n if tbl in mTbl:\n if mTbl.startswith(tbl):\n return mTbl", "metadata": "root.console.getTable", "header": "['class', 'console', ':', '___EOS___']", "index": 251 }, { "content": " def execCommand(self, cmd):\n words = cmd.split(\" \")\n words = [i for i in words if i]\n if not words:\n return\n cmd, parameters = words[0].lower(), words[1:]\n\n if not cmd in self.commands:\n raise Exception(\n \"Command {0} not found. Try 'help'\\r\\n\".format(cmd))\n\n self.commands[cmd](*parameters)", "metadata": "root.console.execCommand", "header": "['class', 'console', ':', '___EOS___']", "index": 257 }, { "content": " def cmd_clear(self, numlines=100):\n \"\"\"-5|clear|clear the screen\"\"\"\n if os.name == \"posix\":\n '''---\n Unix/Linux/MacOS/BSD/etc\n ---'''\n os.system('clear')\n elif os.name in (\"nt\", \"dos\", \"ce\"):\n '''---\n Windows\n ---'''\n os.system('CLS')\n else:\n '''---\n Fallback for other operating systems.\n ---'''\n print '\\n' * numlines", "metadata": "root.console.cmd_clear", "header": "['class', 'console', ':', '___EOS___']", "index": 273 }, { "content": " def cmd_table(self, tbl, file=None, fields=[]):\n \"\"\"-4|-table [TABLENAME] optional[file=None] [fields=None]|\\\nthe default tableStyle is no_wrap - use the 'set x y' command to change the style\\n\\\nstyle choices:\n\\twrap_always\n\\twrap_onspace\n\\twrap_onspace_strict\n\\tno_wrap (value '')\\n\n\\t the 2nd optional param is a path to a file where the table will be written\n\\t the 3rd optional param is a list of fields you want displayed\\n\"\"\"\n table = None\n for mTbl in db.tables:\n if tbl in mTbl:\n if mTbl.startswith(tbl):\n table = mTbl\n break\n oTable = tableHelper()\n '''---\n tablestyle:\n wrap_always\n wrap_onspace\n wrap_onspace_strict\n or set set to \"\" for no wrapping\n ---'''\n tableStyle = self.var_tableStyle\n filedNotFound = []\n table_fields = None\n if len(fields) == 0:\n table_fields = self.db[table].fields\n else:\n table_fields = fields\n\n for field in fields:\n if not field in self.db[table].fields:\n filedNotFound.append(field)\n if len(filedNotFound) == 0:\n rows = self.db(self.db[table].id > 0).select()\n rows_data = []\n for row in rows:\n rowdata = []\n for f in table_fields:\n rowdata.append('{0}'.format(row[f]))\n rows_data.append(string.join(rowdata, ','))\n data = string.join(rows_data, '\\n')\n dataTable = oTable.getTable_Wrap(data, tableStyle, table_fields)\n print('TABLE {0}\\n{1}'.format(table, dataTable))\n if file is not None:\n try:\n tail, head = os.path.split(file)\n try:\n os.makedirs(tail)\n except:\n 'do nothing, folders exist'\n oFile = open(file, 'w')\n oFile.write('TABLE: {0}\\n{1}'.format(table, dataTable))\n oFile.close()\n print('{0} has been created and populated with all available data from table {1}\\n'.format(file, table))\n except Exception, err:\n print(\"EXCEPTION: could not create table {0}\\n{1}\".format(\n table, err))\n else:\n print('the following fields are not valid [{0}]'.format(\n string.join(filedNotFound, ',')))", "metadata": "root.console.cmd_table", "header": "['class', 'console', ':', '___EOS___']", "index": 291 }, { "content": " def cmd_help(self, *args):\n '''-3|help|Show's help'''\n alldata = []\n lengths = []\n\n for i in self.commandSort:\n alldata.append(\n self.commands[i].__doc__.split(\"|\")[1:])\n\n for i in alldata:\n if len(i) > len(lengths):\n for j in range(len(i)\n - len(lengths)):\n lengths.append(0)\n\n j = 0\n while j < len(i):\n if len(i[j]) > lengths[j]:\n lengths[j] = len(i[j])\n j += 1\n\n print (\"-\" * (lengths[0] + lengths[1] + 4))\n for i in alldata:\n print ((\"%-\" + str(lengths[0]) + \"s - %-\" + str(\n lengths[1]) + \"s\") % (i[0], i[1]))\n if len(i) > 2:\n for j in i[2:]: print ((\"%\" + str(lengths[\n 0] + 9) + \"s* %s\") % (\" \", j))\n print", "metadata": "root.console.cmd_help", "header": "['class', 'console', ':', '___EOS___']", "index": 355 }, { "content": " def cmd_vars(self, *args):\n '''-2|vars|Show variables'''\n print (\"variables\\r\\n\" + \"-\" * 79)\n for i, j in self.configvars.items():\n value = self.parfmt(repr(getattr(self, j)), 52)\n print (\"| %20s | %52s |\" % (i, value[0]))\n for k in value[1:]: print (\"| %20s | %52s |\" % (\"\", k))\n if len(value) > 1:\n print(\"| %20s | %52s |\" % (\"\", \"\"))\n print (\"-\" * 79)", "metadata": "root.console.cmd_vars", "header": "['class', 'console', ':', '___EOS___']", "index": 385 }, { "content": " def parfmt(self, txt, width):\n res = []\n pos = 0\n while True:\n a = txt[pos:pos + width]\n if not a:\n break\n res.append(a)\n pos += width\n return res", "metadata": "root.console.parfmt", "header": "['class', 'console', ':', '___EOS___']", "index": 396 }, { "content": " def cmd_set(self, *args):\n '''-1|set [variable_name] [value]|Set configuration variable value|Values are an expressions (100 | string.lower('ABC') | etc.'''\n value = \" \".join(args[1:])\n if args[0] not in self.configvars:\n setattr(self, \"var_{0}\".format(args[0]), eval(value))\n setattr(self, \"var_{0}\".format(args[0]), eval(value))", "metadata": "root.console.cmd_set", "header": "['class', 'console', ':', '___EOS___']", "index": 407 }, { "content": " def cmd_clearscreen(self, numlines=50):\n '''---Clear the console.\n ---'''\n if os.name == \"posix\":\n '''---\n Unix/Linux/MacOS/BSD/etc\n ---'''\n os.system('clear')\n elif os.name in (\"nt\", \"dos\", \"ce\"):\n '''---\n Windows\n ---'''\n os.system('CLS')\n else:\n '''---\n Fallback for other operating systems.\n ---'''\n print '\\n' * numlines", "metadata": "root.console.cmd_clearscreen", "header": "['class', 'console', ':', '___EOS___']", "index": 414 }, { "content": "class dalShell(console):\n", "metadata": "root.dalShell", "header": "['module', '___EOS___']", "index": 434 }, { "content": " def __init__(self):\n pass", "metadata": "root.dalShell.__init__", "header": "['class', 'dalShell', '(', 'console', ')', ':', '___EOS___']", "index": 435 }, { "content": " def shell(self, db):\n console.__init__(self, prompt=\">>> \", banner='dal interactive shell')\n self.execCmd(db)", "metadata": "root.dalShell.shell", "header": "['class', 'dalShell', '(', 'console', ')', ':', '___EOS___']", "index": 438 }, { "content": "class setCopyDB():\n\n\n\n\n\n", "metadata": "root.setCopyDB", "header": "['module', '___EOS___']", "index": 443 }, { "content": " def __init__(self):\n '''---\n non source or target specific vars\n ---'''\n self.strModel = None\n self.dalPath = None\n self.db = None\n '''---\n source vars\n ---'''\n self.sourceModel = None\n self.sourceFolder = None\n self.sourceConnectionString = None\n self.sourcedbType = None\n self.sourcedbName = None\n '''---\n target vars\n ---'''\n self.targetdbType = None\n self.targetdbName = None\n self.targetModel = None\n self.targetFolder = None\n self.targetConnectionString = None\n self.truncate = False", "metadata": "root.setCopyDB.__init__", "header": "['class', 'setCopyDB', '(', ')', ':', '___EOS___']", "index": 444 }, { "content": " def _getDal(self):\n mDal = None\n if self.dalPath is not None:\n global DAL\n sys.path.append(self.dalPath)\n mDal = __import__(\n 'dal', globals={}, locals={}, fromlist=['DAL'], level=0)\n DAL = mDal.DAL\n return mDal", "metadata": "root.setCopyDB._getDal", "header": "['class', 'setCopyDB', '(', ')', ':', '___EOS___']", "index": 469 }, { "content": " def instDB(self, storageFolder, storageConnectionString, autoImport):\n self.db = DAL(storageConnectionString, folder=os.path.abspath(\n storageFolder), auto_import=autoImport)\n return self.db", "metadata": "root.setCopyDB.instDB", "header": "['class', 'setCopyDB', '(', ')', ':', '___EOS___']", "index": 479 }, { "content": " def delete_DB_tables(self, storageFolder, storageType):\n print 'delete_DB_tablesn\\n\\t{0}\\n\\t{1}'.format(\n storageFolder, storageType)\n dataFiles = [storageType, \"sql.log\"]\n try:\n for f in os.listdir(storageFolder):\n if \".table\" in f:\n fTable = \"{0}/{1}\".format(storageFolder, f)\n os.remove(fTable)\n print('deleted {0}'.format(fTable))\n for dFile in dataFiles:\n os.remove(\"{0}/{1}\".format(storageFolder, dFile))\n print('deleted {0}'.format(\n \"{0}/{1}\".format(storageFolder, dFile)))\n except Exception, errObj:\n print(str(errObj))", "metadata": "root.setCopyDB.delete_DB_tables", "header": "['class', 'setCopyDB', '(', ')', ':', '___EOS___']", "index": 484 }, { "content": " def truncatetables(self, tables=[]):\n if len(tables) != 0:\n try:\n print 'table value: {0}'.format(tables)\n for tbl in self.db.tables:\n for mTbl in tables:\n if mTbl.startswith(tbl):\n self.db[mTbl].truncate()\n except Exception, err:\n print('EXCEPTION: {0}'.format(err))\n else:\n try:\n for tbl in self.db.tables:\n self.db[tbl].truncate()\n except Exception, err:\n print('EXCEPTION: {0}'.format(err))", "metadata": "root.setCopyDB.truncatetables", "header": "['class', 'setCopyDB', '(', ')', ':', '___EOS___']", "index": 501 }, { "content": " def copyDB(self):\n other_db = DAL(\"{0}://{1}\".format(\n self.targetdbType, self.targetdbName), folder=self.targetFolder)\n\n print 'creating tables...'\n\n for table in self.db:\n other_db.define_table(\n table._tablename, *[field for field in table])\n '''\n should there be an option to truncAte target DB?\n if yes, then change args to allow for choice\n and set self.trancate to the art value\n\n if self.truncate==True:\n other_db[table._tablename].truncate()\n '''\n\n print 'exporting data...'\n self.db.export_to_csv_file(open('tmp.sql', 'wb'))\n\n print 'importing data...'\n other_db.import_from_csv_file(open('tmp.sql', 'rb'))\n other_db.commit()\n print 'done!'\n print 'Attention: do not run this program again or you end up with duplicate records'", "metadata": "root.setCopyDB.copyDB", "header": "['class', 'setCopyDB', '(', ')', ':', '___EOS___']", "index": 518 }, { "content": " def createfolderPath(self, folder):\n try:\n if folder is not None:\n os.makedirs(folder)\n except Exception, err:\n pass", "metadata": "root.setCopyDB.createfolderPath", "header": "['class', 'setCopyDB', '(', ')', ':', '___EOS___']", "index": 545 } ]

[ { "span": "from collections import deque", "start_line": 2, "start_column": 0, "end_line": 2, "end_column": 29 }, { "span": "import cPickle as pickle", "start_line": 7, "start_column": 0, "end_line": 7, "end_column": 24 }, { "span": "from collections import deque", "start_line": 8, "start_column": 0, "end_line": 8, "end_column": 29 }, { "span": "import cmd", "start_line": 11, "start_column": 0, "end_line": 11, "end_column": 10 }, { "span": "import readline", "start_line": 12, "start_column": 0, "end_line": 12, "end_column": 15 } ]

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[ { "content": "# -*- coding: utf-8 -*-\nfrom __future__ import unicode_literals\n\nfrom django.db import models, migrations\nimport positions.fields\n\n\n\n\n\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "def add_test_data(apps, schema_editor):\n # We can't import the Person model directly as it may be a newer\n # version than this migration expects. We use the historical version.\n MigrationTest = apps.get_model(\"migration\", \"MigrationTest\")\n test_record = MigrationTest.objects.create(name='Test Name', age=99, favorite_color='Red')", "metadata": "root.add_test_data", "header": "['module', '___EOS___']", "index": 7 }, { "content": "class Migration(migrations.Migration):\n\n dependencies = [\n ('migration', '0001_initial'),\n ]\n\n operations = [\n migrations.RunPython(add_test_data),\n ]", "metadata": "root.Migration", "header": "['module', '___EOS___']", "index": 13 } ]

[ { "span": "from django.db import models, migrations", "start_line": 3, "start_column": 0, "end_line": 3, "end_column": 40 }, { "span": "import positions.fields", "start_line": 4, "start_column": 0, "end_line": 4, "end_column": 23 } ]

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[ { "content": "from django.conf import settings\nfrom django.core.exceptions import ObjectDoesNotExist, ImproperlyConfigured\nfrom django.core import validators\nfrom django.db import backend, connection\nfrom django.db.models.loading import get_apps, get_app, get_models, get_model, register_models\nfrom django.db.models.query import Q\nfrom django.db.models.manager import Manager\nfrom django.db.models.base import Model, AdminOptions\nfrom django.db.models.fields import *\nfrom django.db.models.fields.related import ForeignKey, OneToOneField, ManyToManyField, ManyToOneRel, ManyToManyRel, OneToOneRel, TABULAR, STACKED\nfrom django.db.models.fields.generic import GenericRelation, GenericRel, GenericForeignKey\nfrom django.db.models import signals\nfrom django.utils.functional import curry\nfrom django.utils.text import capfirst\n\n# Admin stages.\nADD, CHANGE, BOTH = 1, 2, 3\n\n# Decorator. Takes a function that returns a tuple in this format:\n# (viewname, viewargs, viewkwargs)\n# Returns a function that calls urlresolvers.reverse() on that data, to return\n# the URL for those parameters.\n\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "def permalink(func):\n from django.core.urlresolvers import reverse\n def inner(*args, **kwargs):\n bits = func(*args, **kwargs)\n viewname = bits[0]\n return reverse(bits[0], None, *bits[1:3])\n return inner", "metadata": "root.permalink", "header": "['module', '___EOS___']", "index": 22 }, { "content": "class LazyDate(object):\n \"\"\"\n Use in limit_choices_to to compare the field to dates calculated at run time\n instead of when the model is loaded. For example::\n\n ... limit_choices_to = {'date__gt' : models.LazyDate(days=-3)} ...\n\n which will limit the choices to dates greater than three days ago.\n \"\"\"\n\n\n\n", "metadata": "root.LazyDate", "header": "['module', '___EOS___']", "index": 30 }, { "content": " def __init__(self, **kwargs):\n self.delta = datetime.timedelta(**kwargs)", "metadata": "root.LazyDate.__init__", "header": "['class', 'LazyDate', '(', 'object', ')', ':', '___EOS___']", "index": 39 }, { "content": " def __str__(self):\n return str(self.__get_value__())", "metadata": "root.LazyDate.__str__", "header": "['class', 'LazyDate', '(', 'object', ')', ':', '___EOS___']", "index": 42 }, { "content": " def __repr__(self):\n return \"<LazyDate: %s>\" % self.delta", "metadata": "root.LazyDate.__repr__", "header": "['class', 'LazyDate', '(', 'object', ')', ':', '___EOS___']", "index": 45 }, { "content": " def __get_value__(self):\n return (datetime.datetime.now() + self.delta).date()", "metadata": "root.LazyDate.__get_value__", "header": "['class', 'LazyDate', '(', 'object', ')', ':', '___EOS___']", "index": 48 }, { "content": " def __getattr__(self, attr):\n if attr == 'delta':\n # To fix ticket #3377. Note that normal accesses to LazyDate.delta\n # (after construction) will still work, because they don't go\n # through __getattr__). This is mainly needed for unpickling.\n raise AttributeError\n return getattr(self.__get_value__(), attr)", "metadata": "root.LazyDate.__getattr__", "header": "['class', 'LazyDate', '(', 'object', ')', ':', '___EOS___']", "index": 51 } ]

[ { "span": "from django.conf import settings", "start_line": 0, "start_column": 0, "end_line": 0, "end_column": 32 }, { "span": "from django.core.exceptions import ObjectDoesNotExist, ImproperlyConfigured", "start_line": 1, "start_column": 0, "end_line": 1, "end_column": 75 }, { "span": "from django.core import validators", "start_line": 2, "start_column": 0, "end_line": 2, "end_column": 34 }, { "span": "from django.db import backend, connection", "start_line": 3, "start_column": 0, "end_line": 3, "end_column": 41 }, { "span": "from django.db.models.loading import get_apps, get_app, get_models, get_model, register_models", "start_line": 4, "start_column": 0, "end_line": 4, "end_column": 94 }, { "span": "from django.db.models.query import Q", "start_line": 5, "start_column": 0, "end_line": 5, "end_column": 36 }, { "span": "from django.db.models.manager import Manager", "start_line": 6, "start_column": 0, "end_line": 6, "end_column": 44 }, { "span": "from django.db.models.base import Model, AdminOptions", "start_line": 7, "start_column": 0, "end_line": 7, "end_column": 53 }, { "span": "from django.db.models.fields.related import ForeignKey, OneToOneField, ManyToManyField, ManyToOneRel, ManyToManyRel, OneToOneRel, TABULAR, STACKED", "start_line": 9, "start_column": 0, "end_line": 9, "end_column": 146 }, { "span": "from django.db.models.fields.generic import GenericRelation, GenericRel, GenericForeignKey", "start_line": 10, "start_column": 0, "end_line": 10, "end_column": 90 }, { "span": "from django.db.models import signals", "start_line": 11, "start_column": 0, "end_line": 11, "end_column": 36 }, { "span": "from django.utils.functional import curry", "start_line": 12, "start_column": 0, "end_line": 12, "end_column": 41 }, { "span": "from django.utils.text import capfirst", "start_line": 13, "start_column": 0, "end_line": 13, "end_column": 38 } ]

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[ { "content": "# -*- coding: utf-8 -*-\n#\n# Copyright 2012 James Thornton (http://jamesthornton.com)\n# BSD License (see LICENSE for details)\n#\nfrom bulbs.config import Config, DEBUG, INFO, WARNING, ERROR, CRITICAL\nfrom bulbs.element import Vertex, VertexProxy, Edge, EdgeProxy\nfrom bulbs.model import Node, NodeProxy, Relationship, RelationshipProxy\n\nfrom .graph import Graph\nfrom .client import RexsterClient, REXSTER_URI\nfrom .index import ManualIndex, AutomaticIndex, \\\n VertexIndexProxy, EdgeIndexProxy\n\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 } ]

[ { "span": "from bulbs.config import Config, DEBUG, INFO, WARNING, ERROR, CRITICAL", "start_line": 5, "start_column": 0, "end_line": 5, "end_column": 70 }, { "span": "from bulbs.element import Vertex, VertexProxy, Edge, EdgeProxy", "start_line": 6, "start_column": 0, "end_line": 6, "end_column": 62 }, { "span": "from bulbs.model import Node, NodeProxy, Relationship, RelationshipProxy", "start_line": 7, "start_column": 0, "end_line": 7, "end_column": 72 } ]

[]

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[ { "content": "#! /usr/bin/env python\n# BEGIN ALL\n#! /usr/bin/env python\nimport rospy\n\n# BEGIN PART_1\nimport time\nimport actionlib\nfrom basics.msg import TimerAction, TimerGoal, TimerResult\n# END PART_1\n\n# BEGIN PART_2\n\nrospy.init_node('timer_action_server')\nserver = actionlib.SimpleActionServer('timer', TimerAction, do_timer, False)\nserver.start()\nrospy.spin()\n# END ALL\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "def do_timer(goal):\n start_time = time.time()\n time.sleep(goal.time_to_wait.to_sec())\n # END PART_2\n # BEGIN PART_3\n result = TimerResult()\n result.time_elapsed = rospy.Duration.from_sec(time.time() - start_time)\n result.updates_sent = 0\n # END PART_3\n # BEGIN PART_4\n server.set_succeeded(result)\n # END PART_4", "metadata": "root.do_timer", "header": "['module', '___EOS___']", "index": 12 } ]

[ { "span": "from basics.msg import TimerAction, TimerGoal, TimerResult", "start_line": 8, "start_column": 0, "end_line": 8, "end_column": 58 } ]

[]

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[ { "content": "\tdef test( self ) :\n\n\t\tp1 = GafferScene.Plane()\n\t\tp2 = GafferScene.Plane()\n\t\tg = GafferScene.Group()\n\n\t\tg[\"in\"][0].setInput( p1[\"out\"] )\n\t\tg[\"in\"][1].setInput( p2[\"out\"] )\n\n\t\ts = GafferScene.Set()\n\t\ts[\"in\"].setInput( g[\"out\"] )\n\t\ts[\"paths\"].setValue( IECore.StringVectorData( [ \"/group/plane\" ] ) )\n\n\t\tf = GafferScene.SetFilter()\n\t\tf[\"set\"].setValue( \"set\" )\n\n\t\ta = GafferScene.StandardAttributes()\n\t\ta[\"in\"].setInput( s[\"out\"] )\n\t\ta[\"attributes\"][\"doubleSided\"][\"enabled\"].setValue( True )\n\t\ta[\"filter\"].setInput( f[\"out\"] )\n\n\t\tself.assertSceneValid( a[\"out\"] )\n\n\t\tself.assertTrue( \"doubleSided\" in a[\"out\"].attributes( \"/group/plane\" ) )\n\t\tself.assertTrue( \"doubleSided\" not in a[\"out\"].attributes( \"/group/plane1\" ) )\n\t\tself.assertTrue( \"doubleSided\" not in a[\"out\"].attributes( \"/group\" ) )\n\n\t\ts[\"paths\"].setValue( IECore.StringVectorData( [ \"/group\" ] ) )\n\n\t\tself.assertSceneValid( a[\"out\"] )\n\n\t\tself.assertTrue( \"doubleSided\" not in a[\"out\"].attributes( \"/group/plane\" ) )\n\t\tself.assertTrue( \"doubleSided\" not in a[\"out\"].attributes( \"/group/plane1\" ) )\n\t\tself.assertTrue( \"doubleSided\" in a[\"out\"].attributes( \"/group\" ) )", "metadata": "root.SetFilterTest.test", "header": "['class', 'SetFilterTest', '(', 'GafferSceneTest', '.', 'SceneTestCase', ')', ':', '___EOS___']", "index": 47 }, { "content": "\tdef testAffects( self ) :\n\n\t\tp1 = GafferScene.Plane()\n\t\tp2 = GafferScene.Plane()\n\t\tg = GafferScene.Group()\n\n\t\tg[\"in\"][0].setInput( p1[\"out\"] )\n\t\tg[\"in\"][1].setInput( p2[\"out\"] )\n\n\t\ts = GafferScene.Set()\n\t\ts[\"in\"].setInput( g[\"out\"] )\n\n\t\ta = GafferScene.StandardAttributes()\n\t\ta[\"in\"].setInput( s[\"out\"] )\n\n\t\t# no filter attached - changing a set should affect only\n\t\t# the globals.\n\n\t\tcs = GafferTest.CapturingSlot( a.plugDirtiedSignal() )\n\n\t\ts[\"paths\"].setValue( IECore.StringVectorData( [ \"/group\" ] ) )\n\t\tself.assertTrue( a[\"out\"][\"set\"] in set( [ c[0] for c in cs ] ) )\n\t\tself.assertTrue( a[\"out\"][\"attributes\"] not in set( [ c[0] for c in cs ] ) )\n\n\t\t# attach a filter - changing a set should affect the\n\t\t# attributes too.\n\n\t\tf = GafferScene.SetFilter()\n\t\ta[\"filter\"].setInput( f[\"out\"] )\n\n\t\tcs = GafferTest.CapturingSlot( a.plugDirtiedSignal() )\n\n\t\ts[\"paths\"].setValue( IECore.StringVectorData( [ \"/group/plane\" ] ) )\n\n\t\tself.assertTrue( a[\"out\"][\"set\"] in set( [ c[0] for c in cs ] ) )\n\t\tself.assertTrue( a[\"out\"][\"attributes\"] in set( [ c[0] for c in cs ] ) )", "metadata": "root.SetFilterTest.testAffects", "header": "['class', 'SetFilterTest', '(', 'GafferSceneTest', '.', 'SceneTestCase', ')', ':', '___EOS___']", "index": 82 }, { "content": "\tdef testMultipleStreams( self ) :\n\n\t\tp1 = GafferScene.Plane()\n\t\tg1 = GafferScene.Group()\n\t\tg1[\"in\"][0].setInput( p1[\"out\"] )\n\t\ts1 = GafferScene.Set()\n\t\ts1[\"in\"].setInput( g1[\"out\"] )\n\t\ts1[\"paths\"].setValue( IECore.StringVectorData( [ \"/group\" ] ) )\n\n\t\tp2 = GafferScene.Plane()\n\t\tg2 = GafferScene.Group()\n\t\tg2[\"in\"][0].setInput( p2[\"out\"] )\n\t\ts2 = GafferScene.Set()\n\t\ts2[\"in\"].setInput( g2[\"out\"] )\n\t\ts2[\"paths\"].setValue( IECore.StringVectorData( [ \"/group/plane\" ] ) )\n\n\t\tf = GafferScene.SetFilter()\n\t\tf[\"set\"].setValue( \"set\" )\n\n\t\ta1 = GafferScene.StandardAttributes()\n\t\ta1[\"in\"].setInput( s1[\"out\"] )\n\t\ta1[\"attributes\"][\"doubleSided\"][\"enabled\"].setValue( True )\n\t\ta1[\"filter\"].setInput( f[\"out\"] )\n\n\t\ta2 = GafferScene.StandardAttributes()\n\t\ta2[\"in\"].setInput( s2[\"out\"] )\n\t\ta2[\"attributes\"][\"doubleSided\"][\"enabled\"].setValue( True )\n\t\ta2[\"filter\"].setInput( f[\"out\"] )\n\n\t\tself.assertSceneValid( a1[\"out\"] )\n\t\tself.assertSceneValid( a2[\"out\"] )\n\n\t\tself.assertTrue( \"doubleSided\" in a1[\"out\"].attributes( \"/group\" ) )\n\t\tself.assertTrue( \"doubleSided\" not in a1[\"out\"].attributes( \"/group/plane\" ) )\n\n\t\tself.assertTrue( \"doubleSided\" not in a2[\"out\"].attributes( \"/group\" ) )\n\t\tself.assertTrue( \"doubleSided\" in a2[\"out\"].attributes( \"/group/plane\" ) )", "metadata": "root.SetFilterTest.testMultipleStreams", "header": "['class', 'SetFilterTest', '(', 'GafferSceneTest', '.', 'SceneTestCase', ')', ':', '___EOS___']", "index": 119 }, { "content": "\tdef testNonExistentSets( self ) :\n\n\t\tp = GafferScene.Plane()\n\t\tp[\"sets\"].setValue( \"flatThings\" )\n\n\t\ta = GafferScene.StandardAttributes()\n\t\ta[\"in\"].setInput( p[\"out\"] )\n\t\ta[\"attributes\"][\"doubleSided\"][\"enabled\"].setValue( True )\n\n\t\tself.assertTrue( \"doubleSided\" in a[\"out\"].attributes( \"/plane\" ).keys() )\n\n\t\tf = GafferScene.SetFilter()\n\t\ta[\"filter\"].setInput( f[\"out\"] )\n\n\t\tself.assertFalse( \"doubleSided\" in a[\"out\"].attributes( \"/plane\" ).keys() )\n\n\t\tf[\"set\"].setValue( \"nonExistent\" )\n\t\tself.assertFalse( \"doubleSided\" in a[\"out\"].attributes( \"/plane\" ).keys() )\n\n\t\tf[\"set\"].setValue( \"flatThings\" )\n\t\tself.assertTrue( \"doubleSided\" in a[\"out\"].attributes( \"/plane\" ).keys() )", "metadata": "root.SetFilterTest.testNonExistentSets", "header": "['class', 'SetFilterTest', '(', 'GafferSceneTest', '.', 'SceneTestCase', ')', ':', '___EOS___']", "index": 188 } ]

[ { "span": "self.assertTrue( \"doubleSided\" in a[\"out\"].attributes( \"/group/plane\" ) )", "start_line": 70, "start_column": 2, "end_line": 70, "end_column": 75 }, { "span": "self.assertTrue( \"doubleSided\" not in a[\"out\"].attributes( \"/group/plane1\" ) )", "start_line": 71, "start_column": 2, "end_line": 71, "end_column": 80 }, { "span": "self.assertTrue( \"doubleSided\" not in a[\"out\"].attributes( \"/group\" ) )", "start_line": 72, "start_column": 2, "end_line": 72, "end_column": 73 }, { "span": "self.assertTrue( \"doubleSided\" not in a[\"out\"].attributes( \"/group/plane\" ) )", "start_line": 78, "start_column": 2, "end_line": 78, "end_column": 79 }, { "span": "self.assertTrue( \"doubleSided\" not in a[\"out\"].attributes( \"/group/plane1\" ) )", "start_line": 79, "start_column": 2, "end_line": 79, "end_column": 80 }, { "span": "self.assertTrue( \"doubleSided\" in a[\"out\"].attributes( \"/group\" ) )", "start_line": 80, "start_column": 2, "end_line": 80, "end_column": 69 }, { "span": "self.assertTrue( a[\"out\"][\"set\"] in set( [ c[0] for c in cs ] ) )", "start_line": 103, "start_column": 2, "end_line": 103, "end_column": 67 }, { "span": "self.assertTrue( a[\"out\"][\"attributes\"] not in set( [ c[0] for c in cs ] ) )", "start_line": 104, "start_column": 2, "end_line": 104, "end_column": 78 }, { "span": "self.assertTrue( a[\"out\"][\"set\"] in set( [ c[0] for c in cs ] ) )", "start_line": 116, "start_column": 2, "end_line": 116, "end_column": 67 }, { "span": "self.assertTrue( a[\"out\"][\"attributes\"] in set( [ c[0] for c in cs ] ) )", "start_line": 117, "start_column": 2, "end_line": 117, "end_column": 74 }, { "span": "self.assertTrue( \"doubleSided\" in a1[\"out\"].attributes( \"/group\" ) )", "start_line": 151, "start_column": 2, "end_line": 151, "end_column": 70 }, { "span": "self.assertTrue( \"doubleSided\" not in a1[\"out\"].attributes( \"/group/plane\" ) )", "start_line": 152, "start_column": 2, "end_line": 152, "end_column": 80 }, { "span": "self.assertTrue( \"doubleSided\" not in a2[\"out\"].attributes( \"/group\" ) )", "start_line": 154, "start_column": 2, "end_line": 154, "end_column": 74 }, { "span": "self.assertTrue( \"doubleSided\" in a2[\"out\"].attributes( \"/group/plane\" ) )", "start_line": 155, "start_column": 2, "end_line": 155, "end_column": 76 }, { "span": "self.assertTrue( \"doubleSided\" in a[\"out\"].attributes( \"/plane\" ).keys() )", "start_line": 197, "start_column": 2, "end_line": 197, "end_column": 76 }, { "span": "self.assertFalse( \"doubleSided\" in a[\"out\"].attributes( \"/plane\" ).keys() )", "start_line": 202, "start_column": 2, "end_line": 202, "end_column": 77 }, { "span": "self.assertFalse( \"doubleSided\" in a[\"out\"].attributes( \"/plane\" ).keys() )", "start_line": 205, "start_column": 2, "end_line": 205, "end_column": 77 }, { "span": "self.assertTrue( \"doubleSided\" in a[\"out\"].attributes( \"/plane\" ).keys() )", "start_line": 208, "start_column": 2, "end_line": 208, "end_column": 76 } ]

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[ { "content": "'''\n DO WHAT THE FUCK YOU WANT TO PUBLIC LICENSE\n Version 2, December 2004\n\nCopyright (C) 2004 Sam Hocevar <sam@hocevar.net>\n\nEveryone is permitted to copy and distribute verbatim or modified\ncopies of this license document, and changing it is allowed as long\nas the name is changed.\n\n DO WHAT THE FUCK YOU WANT TO PUBLIC LICENSE\n TERMS AND CONDITIONS FOR COPYING, DISTRIBUTION AND MODIFICATION\n\n 0. You just DO WHAT THE FUCK YOU WANT TO.\n'''\n\n\nfrom datetime import datetime\nfrom csv import DictReader\nfrom math import exp, log, sqrt\nimport marshal\n\n\n# TL; DR, the main training process starts on line: 250,\n# you may want to start reading the code from there\n\n\n##############################################################################\n# parameters #################################################################\n##############################################################################\n\n# A, paths\ntrain = '../train_pre_1b' # path to training file\ntest = '../test_pre_1b' # path to testing file\nsubmission = '../ftrl_2' # path of to be outputted submission file\n\n# B, model\nalpha = .05 # learning rate\nbeta = 1. # smoothing parameter for adaptive learning rate\nL1 = .4 # L1 regularization, larger value means more regularized\nL2 = .1 # L2 regularization, larger value means more regularized\n\n# C, feature/hash trick\nD = 2 ** 26 # number of weights to use\ninteraction = True # whether to enable poly2 feature interactions\nSUB = True\n\n# D, training/validation\nepoch = 3 # learn training data for N passes\nholdafter = 30 if SUB else 28 # data after date N (exclusive) are used as validation\nholdout = None # use every N training instance for holdout validation\n\n#interactions\ninter_s = \"ac,bc,bi,bk,ci,ck,cm,cn,in,jc,cw,tc,xc,yc,zc,1c,2c,3c,4c,x1,x2,x3,x4,xy,xz\" #site\ninter = []\ninter_s2 = \"af,bf,bi,bk,fi,fk,fm,fn,in,jf,fw,tf,xf,yf,zf,1f,2f,3f,4f,x1,x2,x3,x4,xy,xz\" #app\ninter2 = []\nfeatdict = {\"a\":\"C1\",\"b\":\"banner_pos\",\"c\":\"site_id\",\"d\":\"site_domain\",\"e\":\"site_category\",\"f\":\"app_id\",\"g\":\"app_domain\",\"h\":\"app_category\",\"i\":\"device_id\",\"j\":\"ips\",\"k\":\"device_model\",\"l\":\"device_type\",\"m\":\"device_conn_type\",\"n\":\"C14\",\"o\":\"C15\",\"p\":\"C16\",\"q\":\"C17\",\"r\":\"C18\",\"s\":\"C19\",\"t\":\"C20\",\"u\":\"C21\",\"w\":\"ipcate\",\"x\":\"C22\",\"y\":\"C23\",\"z\":\"C24\",\"1\":\"C25\",\"2\":\"C26\",\"3\":\"C27\",\"4\":\"C28\"}\nfor i in inter_s.split(\",\"):\n inter.append((featdict[i[0]],featdict[i[1]]))\nfor i in inter_s2.split(\",\"):\n inter2.append((featdict[i[0]],featdict[i[1]]))\nfor i in xrange(29,49):\n\tco = \"C\" + str(i)\n\tinter.append((co,\"site_id\"))\n\tinter2.append((co,\"app_id\"))\nipcate = marshal.load(open(\"../testcate\"))\n\n\n##############################################################################\n# class, function, generator definitions #####################################\n##############################################################################\n\n\n\n\n\n\n##############################################################################\n# start training #############################################################\n##############################################################################\n\nstart = datetime.now()\n\n# initialize ourselves a learner\nlearner1 = ftrl_proximal(alpha, beta, L1, L2, D, interaction)\nlearner2 = ftrl_proximal(alpha, beta, L1, L2, D, interaction)\n\n# start training\nfor e in xrange(epoch):\n loss1 = 0.\n loss2 = 0.\n count1 = 1\n count2 = 1\n loss = 0.\n count = 1\n localcount = 0\n learner1.alpha = 0.05 - 0.01 * e\n learner2.alpha = 0.05 - 0.01 * e\n for t, date, ID, x, y, isApp in data(train, D): # data is a generator\n # t: just a instance counter\n # date: you know what this is\n # ID: id provided in original data\n # x: features\n # y: label (click)\n\n # step 1, get prediction from learner\n if not isApp:\n p = learner1.predict(x)\n else:\n p = learner2.predict(x)\n \n #print progress\n localcount += 1\n if localcount % 1000000 == 0:\n if (holdafter and date > holdafter) or (holdout and t % holdout == 0):\n print \"valid: \" + str(localcount)\n else:\n print \"train: \" + str(localcount)\n\n if (holdafter and date > holdafter) or (holdout and t % holdout == 0):\n # step 2-1, calculate validation loss\n # we do not train with the validation data so that our\n # validation loss is an accurate estimation\n #\n # holdafter: train instances from day 1 to day N\n # validate with instances from day N + 1 and after\n #\n # holdout: validate with every N instance, train with others\n loss += logloss(p,y)\n count += 1\n if isApp:\n loss1 += logloss(p, y)\n count1 += 1\n else:\n loss2 += logloss(p, y)\n count2 += 1\n else:\n # step 2-2, update learner with label (click) information\n if not isApp:\n learner1.update(x, p, y)\n else:\n learner2.update(x, p, y)\n if not SUB:\n print('Epoch %d finished, validation logloss: %f, logloss1: %f, logloss2: %f, elapsed time: %s' % (e, loss/count, loss1/count1, loss2/count2, str(datetime.now() - start)))\n\n##############################################################################\n# start testing, and build Kaggle's submission file ##########################\n##############################################################################\n\nsub()", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 } ]

[ { "span": "print('Epoch %d finished, validation logloss: %f, logloss1: %f, logloss2: %f, elapsed time: %s' % (e, loss/count, loss1/count1, loss2/count2, str(datetime.now() - start)))", "start_line": 332, "start_column": 8, "end_line": 332, "end_column": 179 } ]

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2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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[ { "content": "from foam.sfa.util.xrn import Xrn\nfrom foam.sfa.util.xml import XpathFilter\n\nfrom foam.sfa.rspecs.elements.node import Node\nfrom foam.sfa.rspecs.elements.sliver import Sliver\nfrom foam.sfa.rspecs.elements.location import Location\nfrom foam.sfa.rspecs.elements.ocf_vt_server import OcfVtServer\nfrom foam.sfa.rspecs.elements.hardware_type import HardwareType\nfrom foam.sfa.rspecs.elements.disk_image import DiskImage\nfrom foam.sfa.rspecs.elements.interface import Interface\nfrom foam.sfa.rspecs.elements.bwlimit import BWlimit\nfrom foam.sfa.rspecs.elements.pltag import PLTag\nfrom foam.sfa.rspecs.elements.versions.pgv2Services import PGv2Services \nfrom foam.sfa.rspecs.elements.versions.pgv2SliverType import PGv2SliverType \nfrom foam.sfa.rspecs.elements.versions.pgv2Interface import PGv2Interface \n\n\nfrom foam.sfa.rspecs.elements.range import Range\nfrom foam.sfa.rspecs.elements.network_interface import NetworkInterface\nfrom foam.sfa.rspecs.elements.versions.ocfvtSlivers import OcfVtSlivers\n\n#from sfa.util.sfalogging import logger\n\n#from sfa.planetlab.plxrn import xrn_to_hostname\n\nif __name__ == '__main__':\n from foam.sfa.rspecs.rspec import RSpec\n #import pdb\n r = RSpec('/tmp/emulab.rspec')\n r2 = RSpec(version = 'OcfVt')\n nodes = OcfVtNode.get_nodes(r.xml)\n OcfVtNode.add_nodes(r2.xml.root, nodes)\n #pdb.set_trace()\n \n \n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "def xrn_to_hostname(a=None,b=None):\n\treturn a", "metadata": "root.xrn_to_hostname", "header": "['module', '___EOS___']", "index": 24 }, { "content": "class OcfVtNode:\n\n\n\n\n\n", "metadata": "root.OcfVtNode", "header": "['module', '___EOS___']", "index": 27 }, { "content": " @staticmethod\n def add_nodes(xml, nodes):\n\n\tnetwork_elems = xml.xpath('//network')\n if len(network_elems) > 0:\n network_elem = network_elems[0]\n elif len(nodes) > 0 and nodes[0].get('component_manager_id'):\n network_urn = nodes[0]['component_manager_id']\n network_elem = xml.add_element('network', name = Xrn(network_urn).get_hrn())\n else:\n network_elem = xml\n\n\t\n node_elems = []\n for node in nodes:\n node_fields = ['component_manager_id', 'component_id', 'client_id', 'sliver_id', 'exclusive']\n node_elem = network_elem.add_instance('node', node, node_fields)\n node_elems.append(node_elem)\n # set component name\n if node.get('component_id'):\n component_name = xrn_to_hostname(node['component_id'])\n node_elem.set('component_name', component_name)\n\t if node.get('hostname'):\n simple_elem = node_elem.add_element('hostname')\n simple_elem.set_text(node['hostname'])\n # set hardware types\n\t \n if node.get('hardware_types'):\n for hardware_type in node.get('hardware_types', []):\n\t\t for field in OcfVtServer.fields:\t\n\t\t #node_elem.add_instance(field,{field:hardware_type[field]},[])#XXX Ugly notation\n\t\t\tsimple_elem = node_elem.add_element(field)\n\t\t\tsimple_elem.set_text(hardware_type[field])\n # set location\n if node.get('location'):\n node_elem.add_instance('location', node['location'], Location.fields) \n # set interfaces\n PGv2Interface.add_interfaces(node_elem, node.get('interfaces'))\n #if node.get('interfaces'):\n # for interface in node.get('interfaces', []):\n # node_elem.add_instance('interface', interface, ['component_id', 'client_id'])\n # set available element\n if node.get('boot_state'):\n if node.get('boot_state').lower() == 'boot':\n available_elem = node_elem.add_element('available', now='true')\n else:\n available_elem = node_elem.add_element('available', now='false')\n # add services\n\t if node.get('services'):\n\t\tfor service in node.get('services',[]):\n\t\t fields = service.fields\n\t\t s = node_elem.add_element('service', type=str(service.__class__.__name__))\n\t\t for field in fields:\n\t\t\tif service[field]:\n\t\t\t\tsimple_elem = s.add_element(field)#node_elem.add_element(field)\n \tsimple_elem.set_text(service[field])\n #PGv2Services.add_services(node_elem, node.get('services', [])) \n # add slivers\n slivers = node.get('slivers', [])\n if slivers:\n\t\tfor sliver in slivers:\n\t\t\tfields = sliver.fields\n\t\t\ts = node_elem.add_element('sliver', type=str(sliver.__class__.__name__))\n\t\t\tfor field in fields:\n\t\t\t\tif sliver[field]:\n\t\t\t\t\tsimple_elem = s.add_element(field)#node_elem.add_element(field)\n \tsimple_elem.set_text(sliver[field])\n\n # we must still advertise the available sliver types\n #slivers = Sliver({'type': 'plab-vserver'})\n # we must also advertise the available initscripts\n #slivers['tags'] = []\n #if node.get('pl_initscripts'): \n # for initscript in node.get('pl_initscripts', []):\n # slivers['tags'].append({'name': 'initscript', 'value': initscript['name']})\n #PGv2SliverType.add_slivers(node_elem, slivers)\n return node_elems", "metadata": "root.OcfVtNode.add_nodes", "header": "['class', 'OcfVtNode', ':', '___EOS___']", "index": 28 }, { "content": " @staticmethod\n def get_nodes(xml, filter={}):\n #xpath = '//node%s | //default:node%s' % (XpathFilter.xpath(filter), XpathFilter.xpath(filter))\n xpath = '//rspec/network/node'\n\tnode_elems = xml.xpath(xpath)\n return OcfVtNode.get_node_objs(node_elems)", "metadata": "root.OcfVtNode.get_nodes", "header": "['class', 'OcfVtNode', ':', '___EOS___']", "index": 106 }, { "content": " @staticmethod\n def get_nodes_with_slivers(xml, filter={}):\n #xpath = '//node[count(sliver-type)>0] | //default:node[count(default:sliver-type) > 0]' \n\txpath = '//rspec/network/node'\n node_elems = xml.xpath(xpath)\n\tif not node_elems:\n\t\tnode_elems = xml.xpath('//RSpec/network/node')\n return OcfVtNode.get_node_objs(node_elems)", "metadata": "root.OcfVtNode.get_nodes_with_slivers", "header": "['class', 'OcfVtNode', ':', '___EOS___']", "index": 113 }, { "content": " @staticmethod\n def get_node_objs(node_elems):\n nodes = []\n for node_elem in node_elems:\n node = Node(node_elem.attrib, node_elem)\n nodes.append(node)\n\t \n if 'component_id' in node_elem.attrib:\n node['authority_id'] = Xrn(node_elem.attrib['component_id']).get_authority_urn()\n \n # get hardware types\n hardware_type_elems = node_elem.xpath('./hardware_type | ./default:hardware_type')\n node['hardware_types'] = [hw_type.get_instance(HardwareType) for hw_type in hardware_type_elems]\n \n # get location\n location_elems = node_elem.xpath('./location | ./default:location')\n locations = [location_elem.get_instance(Location) for location_elem in location_elems]\n if len(locations) > 0:\n node['location'] = locations[0]\n\n # get interfaces\n iface_elems = node_elem.xpath('./interface | ./default:interface')\n node['interfaces'] = [iface_elem.get_instance(Interface) for iface_elem in iface_elems]\n\n # get services\n\t service_elems = node_elem.xpath('./services | ./default:service')\n\t if service_elems:\n \tnode['services'] = PGv2Services.get_services(node_elem)\n \n # get slivers\n\t sliver_elems = node_elem.xpath('./sliver | ./default:slivers')\n\t if sliver_elems:\n node['slivers'] = OcfVtSlivers.get_slivers(sliver_elems)\n\t\n available_elems = node_elem.xpath('./available | ./default:available')\n if len(available_elems) > 0 and 'name' in available_elems[0].attrib:\n if available_elems[0].attrib.get('now', '').lower() == 'true': \n node['boot_state'] = 'boot'\n else: \n node['boot_state'] = 'disabled' \n\n return nodes", "metadata": "root.OcfVtNode.get_node_objs", "header": "['class', 'OcfVtNode', ':', '___EOS___']", "index": 122 }, { "content": " @staticmethod\n def add_slivers(xml, slivers):\n component_ids = []\n for sliver in slivers:\n filter = {}\n if isinstance(sliver, str):\n filter['component_id'] = '*%s*' % sliver\n sliver = {}\n elif 'component_id' in sliver and sliver['component_id']:\n filter['component_id'] = '*%s*' % sliver['component_id']\n if not filter: \n continue\n nodes = OcfVtNode.get_nodes(xml, filter)\n if not nodes:\n continue\n node = nodes[0]\n PGv2SliverType.add_slivers(node, sliver)", "metadata": "root.OcfVtNode.add_slivers", "header": "['class', 'OcfVtNode', ':', '___EOS___']", "index": 166 }, { "content": " @staticmethod\n def remove_slivers(xml, hostnames):\n for hostname in hostnames:\n nodes = OcfVtNode.get_nodes(xml, {'component_id': '*%s*' % hostname})\n for node in nodes:\n slivers = OcfVtSliverType.get_slivers(node.element)\n for sliver in slivers:\n node.element.remove(sliver.element) ", "metadata": "root.OcfVtNode.remove_slivers", "header": "['class', 'OcfVtNode', ':', '___EOS___']", "index": 184 } ]

[ { "span": "from foam.sfa.util.xml import XpathFilter", "start_line": 1, "start_column": 0, "end_line": 1, "end_column": 41 }, { "span": "from foam.sfa.rspecs.elements.sliver import Sliver", "start_line": 4, "start_column": 0, "end_line": 4, "end_column": 50 }, { "span": "from foam.sfa.rspecs.elements.disk_image import DiskImage", "start_line": 8, "start_column": 0, "end_line": 8, "end_column": 57 }, { "span": "from foam.sfa.rspecs.elements.bwlimit import BWlimit", "start_line": 10, "start_column": 0, "end_line": 10, "end_column": 52 }, { "span": "from foam.sfa.rspecs.elements.pltag import PLTag", "start_line": 11, "start_column": 0, "end_line": 11, "end_column": 48 }, { "span": "from foam.sfa.rspecs.elements.range import Range", "start_line": 17, "start_column": 0, "end_line": 17, "end_column": 48 }, { "span": "from foam.sfa.rspecs.elements.network_interface import NetworkInterface", "start_line": 18, "start_column": 0, "end_line": 18, "end_column": 71 } ]

[]

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[ { "content": "#!/usr/bin/env python\n#########################################################################################\n#\n# Test function sct_propseg\n#\n# ---------------------------------------------------------------------------------------\n# Copyright (c) 2014 Polytechnique Montreal <www.neuro.polymtl.ca>\n# Author: Augustin Roux\n# modified: 2014/10/09\n#\n# About the license: see the file LICENSE.TXT\n#########################################################################################\n\nimport sct_utils as sct\nimport commands\nimport sct_propseg\nfrom msct_parser import Parser\nfrom pandas import DataFrame\nimport os.path\nimport time, random\nfrom copy import deepcopy\n\n\n\n\nif __name__ == \"__main__\":\n # call main function\n test()", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "def test(path_data='', parameters=''):\n verbose = 0\n\n # parameters\n if not parameters:\n parameters = '-i t2/t2.nii.gz -c t2'\n\n dice_threshold = 0.95\n\n parser = sct_propseg.get_parser()\n dict_param = parser.parse(parameters.split(), check_file_exist=False)\n dict_param_with_path = parser.add_path_to_file(deepcopy(dict_param), path_data, input_file=True)\n param_with_path = parser.dictionary_to_string(dict_param_with_path)\n\n # Check if input files exist\n if not (os.path.isfile(dict_param_with_path['-i'])):\n status = 200\n output = 'ERROR: the file(s) provided to test function do not exist in folder: ' + path_data\n return status, output, DataFrame(\n data={'status': status, 'output': output, 'dice_segmentation': float('nan')}, index=[path_data])\n\n contrast_folder = ''\n input_filename = ''\n if dict_param['-i'][0] == '/':\n dict_param['-i'] = dict_param['-i'][1:]\n input_split = dict_param['-i'].split('/')\n if len(input_split) == 2:\n contrast_folder = input_split[0] + '/'\n input_filename = input_split[1]\n else:\n input_filename = input_split[0]\n if not contrast_folder: # if no contrast folder, send error.\n status = 201\n output = 'ERROR: when extracting the contrast folder from input file in command line: ' + dict_param[\n '-i'] + ' for ' + path_data\n return status, output, DataFrame(\n data={'status': status, 'output': output, 'dice_segmentation': float('nan')}, index=[path_data])\n\n import time, random\n subject_folder = path_data.split('/')\n if subject_folder[-1] == '' and len(subject_folder) > 1:\n subject_folder = subject_folder[-2]\n else:\n subject_folder = subject_folder[-1]\n path_output = sct.slash_at_the_end('sct_propseg_' + subject_folder + '_' + time.strftime(\"%y%m%d%H%M%S\") + '_' + str(random.randint(1, 1000000)), slash=1)\n param_with_path += ' -ofolder ' + path_output\n\n # run command\n cmd = 'sct_propseg ' + param_with_path\n output = '\\n====================================================================================================\\n'\\\n + cmd + \\\n '\\n====================================================================================================\\n\\n' # copy command\n time_start = time.time()\n status, o = sct.run(cmd, verbose)\n output += o\n duration = time.time() - time_start\n\n # extract name of manual segmentation\n # by convention, manual segmentation are called inputname_seg_manual.nii.gz where inputname is the filename\n # of the input image\n segmentation_filename = path_output + sct.add_suffix(input_filename, '_seg')\n manual_segmentation_filename = path_data + contrast_folder + sct.add_suffix(input_filename, '_seg_manual')\n\n dice_segmentation = float('nan')\n\n # if command ran without error, test integrity\n if status == 0:\n # compute dice coefficient between generated image and image from database\n cmd = 'sct_dice_coefficient -i ' + segmentation_filename + ' -d ' + manual_segmentation_filename\n status, output = sct.run(cmd, verbose)\n # parse output and compare to acceptable threshold\n dice_segmentation = float(output.split('3D Dice coefficient = ')[1].split('\\n')[0])\n if dice_segmentation < dice_threshold:\n status = 99\n\n # transform results into Pandas structure\n results = DataFrame(data={'status': status, 'output': output, 'dice_segmentation': dice_segmentation, 'duration [s]': duration}, index=[path_data])\n\n return status, output, results", "metadata": "root.test", "header": "['module', '___EOS___']", "index": 23 } ]

[ { "span": "import time, random", "start_line": 61, "start_column": 4, "end_line": 61, "end_column": 23 } ]

[ { "span": "import time, random", "start_line": 19, "start_column": 0, "end_line": 19, "end_column": 19 } ]

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[ { "content": " def testUpdateEnumWithInvalidValue(self):\n \"\"\"Attempting to assign invalid enum value to an attribute\"\"\"\n cell = getid1(\n '/Cell:%(cellName)s/'\n % topology\n )\n self.assertEquals(cell.cellDiscoveryProtocol, 'TCP')\n failure = 0\n try:\n importConfigurationManifest(\n 'wdrtest/manifests/basic/enum_attribute_invalid.wdrc', topology\n )\n failure = 1\n except:\n pass\n self.assertFalse(failure, 'should fail on invalid enum value')\n self.assertEquals(cell.cellDiscoveryProtocol, 'TCP')", "metadata": "root.BasicManifestImportTest.testUpdateEnumWithInvalidValue", "header": "['class', 'BasicManifestImportTest', '(', 'AbstractConfigTest', ')', ':', '___EOS___']", "index": 333 }, { "content": " def testFailOnInvalidType(self):\n \"\"\"Attempting use invalid object type\"\"\"\n failure = 0\n try:\n importConfigurationManifest(\n 'wdrtest/manifests/basic/fail_on_invalid_type.wdrc', topology\n )\n failure = 1\n except:\n pass\n self.assertFalse(failure, 'should fail on invalid type')", "metadata": "root.BasicManifestImportTest.testFailOnInvalidType", "header": "['class', 'BasicManifestImportTest', '(', 'AbstractConfigTest', ')', ':', '___EOS___']", "index": 351 }, { "content": " def testFailOnInvalidKey(self):\n \"\"\"Attempting use invalid object attribute in key\"\"\"\n failure = 0\n try:\n importConfigurationManifest(\n 'wdrtest/manifests/basic/fail_on_invalid_key.wdrc', topology\n )\n failure = 1\n except:\n pass\n self.assertFalse(failure, 'should fail on invalid key')", "metadata": "root.BasicManifestImportTest.testFailOnInvalidKey", "header": "['class', 'BasicManifestImportTest', '(', 'AbstractConfigTest', ')', ':', '___EOS___']", "index": 363 }, { "content": " def testFailOnInvalidAttribute(self):\n \"\"\"Attempting use invalid object attribute\"\"\"\n failure = 0\n try:\n importConfigurationManifest(\n 'wdrtest/manifests/basic/fail_on_invalid_attribute.wdrc',\n topology\n )\n failure = 1\n except:\n pass\n self.assertFalse(failure, 'should fail on invalid attribute')", "metadata": "root.BasicManifestImportTest.testFailOnInvalidAttribute", "header": "['class', 'BasicManifestImportTest', '(', 'AbstractConfigTest', ')', ':', '___EOS___']", "index": 375 }, { "content": " def test_non_unique_template(self):\n try:\n importConfigurationManifest(\n 'wdrtest/manifests/templates/non_unique_template.wdrc',\n topology\n )\n except:\n return\n self.fail('non-unique template name should raise exception')", "metadata": "root.TemplatesTest.test_non_unique_template", "header": "['class', 'TemplatesTest', '(', 'AbstractConfigTest', ')', ':', '___EOS___']", "index": 908 }, { "content": " def test_non_existent_template(self):\n try:\n importConfigurationManifest(\n 'wdrtest/manifests/templates/non_existent_template.wdrc',\n topology\n )\n except:\n return\n self.fail('non-unique template name should raise exception')", "metadata": "root.TemplatesTest.test_non_existent_template", "header": "['class', 'TemplatesTest', '(', 'AbstractConfigTest', ')', ':', '___EOS___']", "index": 926 } ]

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"\\u\\u\\uNEWLINE\\u\\u\\u_", "\\u\\u\\uDEDENT\\u\\u\\u_", "self_", "._", "fail_", "(_", "'", "non", "-", "unique", " ", "template", " ", "name", " ", "shou", "ld", " ", "raise", " ", "exception", "'_", ")_" ]

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[ { "content": " def load(self):\n try:\n self.file = file(self.storage_path, 'r')\n self.database = json.loads(self.file.read())\n self.file.close()\n except:\n self.__init__()\n if not self.check_version():\n self.save()", "metadata": "root.Storage.load", "header": "['class', 'Storage', '(', 'Singleton', ')', ':', '___EOS___']", "index": 81 } ]

[ { "span": "except:", "start_line": 86, "start_column": 8, "end_line": 86, "end_column": 15 } ]

[]

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[ { "content": "class Bunch(dict):\n \"\"\" Container object for datasets: dictionnary-like object that\n exposes its keys as attributes.\n \"\"\"\n", "metadata": "root.Bunch", "header": "['module', '___EOS___']", "index": 6 }, { "content": " def __init__(self, **kwargs):\n dict.__init__(self, kwargs)\n self.__dict__ = self", "metadata": "root.Bunch.__init__", "header": "['class', 'Bunch', '(', 'dict', ')', ':', '___EOS___']", "index": 11 } ]

[ { "span": "class Bunch(dict):", "start_line": 6, "start_column": 0, "end_line": 6, "end_column": 18 } ]

[ { "span": "self.__dict__ ", "start_line": 13, "start_column": 8, "end_line": 13, "end_column": 21 } ]

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[ { "content": " def getObservation(self):\n (theta, thetad, omega, omegad, omegadd,\n xf, yf, xb, yb, psi, psig) = self.env.getSensors()\n # TODO not calling superclass to do normalization, etc.\n return self.env.getSensors()[0:5]", "metadata": "root.BalanceTask.getObservation", "header": "['class', 'BalanceTask', '(', 'pybrain', '.', 'rl', '.', 'environments', '.', 'EpisodicTask', ')', ':', '___EOS___']", "index": 98 } ]

[ { "span": "theta,", "start_line": 99, "start_column": 9, "end_line": 99, "end_column": 14 }, { "span": "thetad,", "start_line": 99, "start_column": 16, "end_line": 99, "end_column": 22 }, { "span": "omega,", "start_line": 99, "start_column": 24, "end_line": 99, "end_column": 29 }, { "span": "omegad,", "start_line": 99, "start_column": 31, "end_line": 99, "end_column": 37 }, { "span": "omegadd,", "start_line": 99, "start_column": 39, "end_line": 99, "end_column": 46 }, { "span": "xf,", "start_line": 100, "start_column": 16, "end_line": 100, "end_column": 18 }, { "span": "yf,", "start_line": 100, "start_column": 20, "end_line": 100, "end_column": 22 }, { "span": "xb,", "start_line": 100, "start_column": 24, "end_line": 100, "end_column": 26 }, { "span": "yb,", "start_line": 100, "start_column": 28, "end_line": 100, "end_column": 30 }, { "span": "psi,", "start_line": 100, "start_column": 32, "end_line": 100, "end_column": 35 }, { "span": "psig)", "start_line": 100, "start_column": 37, "end_line": 100, "end_column": 41 } ]

[]

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[ { "content": " def __init__(self, logfile=None, logdir=None):\n if logfile is not None and logdir is not None:\n raise ValueError('Cannot specify both logfile and logdir')\n # XXX: Need argument docstring\n self.last_time = time.time()\n self.start_time = self.last_time\n if logdir is not None:\n logfile = os.path.join(logdir, 'joblib.log')\n self.logfile = logfile\n if logfile is not None:\n mkdirp(os.path.dirname(logfile))\n if os.path.exists(logfile):\n # Rotate the logs\n for i in range(1, 9):\n try:\n shutil.move(logfile + '.%i' % i,\n logfile + '.%i' % (i + 1))\n except:\n \"No reason failing here\"\n # Use a copy rather than a move, so that a process\n # monitoring this file does not get lost.\n try:\n shutil.copy(logfile, logfile + '.1')\n except:\n \"No reason failing here\"\n try:\n with open(logfile, 'w') as logfile:\n logfile.write('\\nLogging joblib python script\\n')\n logfile.write('\\n---%s---\\n' % time.ctime(self.last_time))\n except:\n \"\"\" Multiprocessing writing to files can create race\n conditions. Rather fail silently than crash the\n computation.\n \"\"\"\n # XXX: We actually need a debug flag to disable this\n # silent failure.", "metadata": "root.PrintTime.__init__", "header": "['class', 'PrintTime', '(', 'object', ')', ':', '___EOS___']", "index": 95 }, { "content": " def __call__(self, msg='', total=False):\n \"\"\" Print the time elapsed between the last call and the current\n call, with an optional message.\n \"\"\"\n if not total:\n time_lapse = time.time() - self.last_time\n full_msg = \"%s: %s\" % (msg, format_time(time_lapse))\n else:\n # FIXME: Too much logic duplicated\n time_lapse = time.time() - self.start_time\n full_msg = \"%s: %.2fs, %.1f min\" % (msg, time_lapse,\n time_lapse / 60)\n print(full_msg, file=sys.stderr)\n if self.logfile is not None:\n try:\n with open(self.logfile, 'a') as f:\n print(full_msg, file=f)\n except:\n \"\"\" Multiprocessing writing to files can create race\n conditions. Rather fail silently than crash the\n calculation.\n \"\"\"\n # XXX: We actually need a debug flag to disable this\n # silent failure.\n self.last_time = time.time()", "metadata": "root.PrintTime.__call__", "header": "['class', 'PrintTime', '(', 'object', ')', ':', '___EOS___']", "index": 132 } ]

[ { "span": "except:", "start_line": 112, "start_column": 20, "end_line": 112, "end_column": 27 }, { "span": "except:", "start_line": 118, "start_column": 16, "end_line": 118, "end_column": 23 }, { "span": "except:", "start_line": 124, "start_column": 12, "end_line": 124, "end_column": 19 }, { "span": "except:", "start_line": 149, "start_column": 12, "end_line": 149, "end_column": 19 } ]

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[ { "content": "# Copyright 2015 LinkedIn Corp.\n#\n# Licensed to the Apache Software Foundation (ASF) under one\n# or more contributor license agreements. See the NOTICE file\n# distributed with this work for additional information\n# regarding copyright ownership. The ASF licenses this file\n# to you under the Apache License, Version 2.0 (the\n# \"License\"); you may not use this file except in compliance\n# with the License. You may obtain a copy of the License at\n#\n# http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing,\n# software distributed under the License is distributed on an\n# \"AS IS\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY\n# KIND, either express or implied. See the License for the\n# specific language governing permissions and limitations\n# under the License.\n\nimport os\nimport time\n\nimport perf\nimport zopkio.runtime as runtime\nimport zopkio.test_utils as testutilities\n\n\nSMALL_SAMPLE = create_sample(3)\nMEDIUM_SAMPLE = create_sample(100)\nLARGE_SAMPLE = create_sample(1000)\ntest_phase = 3\n\n\n\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "def create_sample(n):\n sample_list = []\n for i in xrange(1,n+1):\n sample_list.append(i)\n return sample_list", "metadata": "root.create_sample", "header": "['module', '___EOS___']", "index": 26 }, { "content": "def test_single_client_perf():\n \"\"\"\n Tests the performance of a server when handling single client\n \"\"\"\n #Leaving the print for proof of order\n print \"test_single_client_perf\"\n client_deployer = runtime.get_deployer(\"AdditionClient\")\n client_deployer.start(\"client1\", configs={\"args\": \"localhost 8000\".split() + MEDIUM_SAMPLE, \"sync\": True})", "metadata": "root.test_single_client_perf", "header": "['module', '___EOS___']", "index": 37 }, { "content": "def validate_single_client_perf():\n \"\"\"\n Validate server max qps is >100 and mean latency is <0.2 sec\n \"\"\"\n print \"validate_single_client_perf\"\n metrics = runtime.get_active_test_metrics(\"test_single_client_perf\")\n assert metrics[\"server1-perf\"][\"qps\"][\"max\"] > 100, \"qps too low\"\n assert metrics[\"server1-perf\"][\"latency\"][\"max\"] < 0.2, \"latency too high\"", "metadata": "root.validate_single_client_perf", "header": "['module', '___EOS___']", "index": 47 } ]

[ { "span": "import os", "start_line": 19, "start_column": 0, "end_line": 19, "end_column": 9 }, { "span": "import time", "start_line": 20, "start_column": 0, "end_line": 20, "end_column": 11 }, { "span": "import perf", "start_line": 22, "start_column": 0, "end_line": 22, "end_column": 11 }, { "span": "import zopkio.test_utils as testutilities", "start_line": 24, "start_column": 0, "end_line": 24, "end_column": 41 } ]

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[ { "content": "#!/usr/bin/env python\n#\n# Copyright 2007 Google Inc.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n# http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\n#\n\n\n\"\"\"Main handler script for running Django applications on App Engine.\"\"\"\n\n\n\n\n\n\n\n\n\n\nimport logging\nimport os\n\nfrom google.appengine.api import lib_config\n\n\n\n\n\n\n\n\n\n\n\n_config_handle = lib_config.register(\n 'django', {'settings_module': os.getenv('DJANGO_SETTINGS_MODULE',\n 'settings')})\nsettings_path = _config_handle.settings_module\n\nfrom google.appengine.ext.webapp import util\n\n\n\n\nos.environ['DJANGO_SETTINGS_MODULE'] = settings_path\n\nif os.environ.get('APPENGINE_RUNTIME') == 'python':\n\n\n import google.appengine.ext.webapp.template\nelse:\n\n try:\n import django\n except ImportError:\n msg = (\n 'django must be included in the \"libraries:\" clause of your app.yaml '\n 'file when using the django_wsgi builtin.')\n logging.error(msg)\n raise RuntimeError(msg)\n\nfrom django.core import management\nfrom django.core.handlers import wsgi\n\n\n\n\n\ntry:\n settings = __import__(settings_path)\n management.setup_environ(settings, original_settings_path=settings_path)\nexcept ImportError:\n\n\n\n pass\n\napp = wsgi.WSGIHandler()\n\n\n\n\nif __name__ == '__main__':\n main()\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "def main():\n \"\"\"Main program. Run the Django WSGIApplication.\"\"\"\n util.run_wsgi_app(app)", "metadata": "root.main", "header": "['module', '___EOS___']", "index": 90 } ]

[ { "span": "import google.appengine.ext.webapp.template", "start_line": 59, "start_column": 2, "end_line": 59, "end_column": 45 }, { "span": "import django", "start_line": 63, "start_column": 4, "end_line": 63, "end_column": 17 } ]

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[ { "content": " def _get_cost(self, input_vars, is_training):\n image, label = input_vars\n keep_prob = tf.constant(0.5 if is_training else 1.0)\n\n image = image / 128.0 - 1\n\n l = Conv2D('conv1', image, 24, 5, padding='VALID')\n l = MaxPooling('pool1', l, 2, padding='SAME')\n l = Conv2D('conv2', l, 32, 3, padding='VALID')\n l = Conv2D('conv3', l, 32, 3, padding='VALID')\n l = MaxPooling('pool2', l, 2, padding='SAME')\n l = Conv2D('conv4', l, 64, 3, padding='VALID')\n\n l = tf.nn.dropout(l, keep_prob)\n l = FullyConnected('fc0', l, 512,\n b_init=tf.constant_initializer(0.1))\n # fc will have activation summary by default. disable for the output layer\n logits = FullyConnected('linear', l, out_dim=10, nl=tf.identity)\n prob = tf.nn.softmax(logits, name='output')\n\n cost = tf.nn.sparse_softmax_cross_entropy_with_logits(logits, label)\n cost = tf.reduce_mean(cost, name='cross_entropy_loss')\n tf.add_to_collection(MOVING_SUMMARY_VARS_KEY, cost)\n\n # compute the number of failed samples, for ClassificationError to use at test time\n wrong = prediction_incorrect(logits, label)\n nr_wrong = tf.reduce_sum(wrong, name='wrong')\n # monitor training error\n tf.add_to_collection(\n MOVING_SUMMARY_VARS_KEY, tf.reduce_mean(wrong, name='train_error'))\n\n # weight decay on all W of fc layers\n wd_cost = regularize_cost('fc.*/W', l2_regularizer(0.00001))\n tf.add_to_collection(MOVING_SUMMARY_VARS_KEY, wd_cost)\n\n add_param_summary([('.*/W', ['histogram', 'sparsity'])]) # monitor W\n return tf.add_n([cost, wd_cost], name='cost')", "metadata": "root.Model._get_cost", "header": "['class', 'Model', '(', 'ModelDesc', ')', ':', '___EOS___']", "index": 30 }, { "content": "def get_config():\n #anchors = np.mgrid[0:4,0:4][:,1:,1:].transpose(1,2,0).reshape((-1,2)) / 4.0\n # prepare dataset\n d1 = dataset.SVHNDigit('train')\n d2 = dataset.SVHNDigit('extra')\n train = RandomMixData([d1, d2])\n test = dataset.SVHNDigit('test')\n\n augmentors = [\n imgaug.Resize((40, 40)),\n imgaug.Brightness(30),\n imgaug.Contrast((0.5,1.5)),\n imgaug.GaussianDeform( # this is slow\n [(0.2, 0.2), (0.2, 0.8), (0.8,0.8), (0.8,0.2)],\n (40,40), 0.2, 3),\n ]\n train = AugmentImageComponent(train, augmentors)\n train = BatchData(train, 128)\n nr_proc = 5\n train = PrefetchData(train, 5, nr_proc)\n step_per_epoch = train.size()\n\n augmentors = [\n imgaug.Resize((40, 40)),\n ]\n test = AugmentImageComponent(test, augmentors)\n test = BatchData(test, 128, remainder=True)\n\n sess_config = get_default_sess_config(0.8)\n\n lr = tf.train.exponential_decay(\n learning_rate=1e-3,\n global_step=get_global_step_var(),\n decay_steps=train.size() * 60,\n decay_rate=0.2, staircase=True, name='learning_rate')\n tf.scalar_summary('learning_rate', lr)\n\n return TrainConfig(\n dataset=train,\n optimizer=tf.train.AdamOptimizer(lr),\n callbacks=Callbacks([\n StatPrinter(),\n ModelSaver(),\n InferenceRunner(dataset_test,\n [ScalarStats('cost'), ClassificationError()])\n ]),\n session_config=sess_config,\n model=Model(),\n step_per_epoch=step_per_epoch,\n max_epoch=350,\n )", "metadata": "root.get_config", "header": "['module', '___EOS___']", "index": 68 } ]

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[ { "content": " def run(self):\n lineno = self.state_machine.abs_line_number()\n target = nodes.target()\n section = nodes.section(classes=[\"detail-control\"])\n # env = self.state.document.settings.env\n # env.app.info(\"Parent %s\" % self.state.parent.attributes)\n\n node = rest_method()\n\n # TODO(sdague): this is a super simplistic parser, should be\n # more robust.\n method, sep, url = self.content[0].partition(' ')\n\n node['method'] = method\n node['url'] = url\n node['target'] = self.state.parent.attributes['ids'][0]\n\n # We need to build a temporary target that we can replace\n # later in the processing to get the TOC to resolve correctly.\n temp_target = \"%s-selector\" % node['target']\n target = nodes.target(ids=[temp_target])\n self.state.add_target(temp_target, '', target, lineno)\n section += node\n\n return [target, section]", "metadata": "root.RestMethodDirective.run", "header": "['class', 'RestMethodDirective', '(', 'Directive', ')', ':', '___NEWLINE___', '___NL___', '# this enables content in the directive', '___NL___', '___EOS___']", "index": 72 } ]

[ { "span": "target ", "start_line": 74, "start_column": 8, "end_line": 74, "end_column": 14 } ]

[ { "span": "target ", "start_line": 92, "start_column": 8, "end_line": 92, "end_column": 14 } ]

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[ { "content": "#!/usr/bin/env python\n\nimport time\nimport os\nfrom ConfigParser import RawConfigParser\nimport fabric\nfrom fabric.api import env, run\nfrom fabric.operations import put\nimport server_creator\n\n\n\n\n\n\n\n\n\n\n\n\ninstall_agent_and_run_tests()\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "def install_python_and_curl():\n #Redhat Releases\n run(\"if [ -f /etc/redhat-release ]; \"\n \"then IF_PYTHON=`which python > /dev/null ; echo $?` ; if [[ $IF_PYTHON == '1' ]]; \"\n \"then apt-get -y install python; fi;\"\n \"IF_PYTHON=`which curl > /dev/null ; echo $?` ; if [[ $IF_PYTHON == '1' ]]; \"\n \"then apt-get -y install curl; fi fi\")\n\n #Open-SuSE image\n run(\"if [ -f /etc/SuSE-release ]; \"\n \"then IF_PYTHON=`which python > /dev/null ; echo $?` ; if [[ $IF_PYTHON == '1' ]]; \"\n \"then zypper install -y python; fi;\"\n \"IF_PYTHON=`which curl > /dev/null ; echo $?` ; if [[ $IF_PYTHON == '1' ]]; \"\n \"then zypper install -y curl; fi fi\")\n\n #Debian images\n run(\"if [ -f /etc/debian_version ]; \"\n \"then IF_PYTHON=`which python > /dev/null ; echo $?` ; if [[ $IF_PYTHON == '1' ]]; \"\n \"then apt-get install -y python; fi;\"\n \"IF_PYTHON=`which curl > /dev/null ; echo $?` ; if [[ $IF_PYTHON == '1' ]]; \"\n \"then apt-get install -y curl; fi fi\")\n\n #FreeBSD images\n run(\"if [ `uname -s` == 'FreeBSD' ]; \"\n \"then IF_PYTHON=`which python > /dev/null ; echo $?` ; \"\n \"if [[ $IF_PYTHON == '1' ]]; then pkg_add -r python; fi;\"\n \"IF_BASH=`which bash > /dev/null ; echo $?` ; \"\n \"if [[ $IF_BASH == '1' ]]; then pkg_add -r bash; fi;\"\n \"IF_PYTHON=`which curl > /dev/null ; echo $?` ; \"\n \"if [[ $IF_PYTHON == '1' ]]; then pkg_add -r curl; fi \"\n \"fi\")", "metadata": "root.install_python_and_curl", "header": "['module', '___EOS___']", "index": 11 }, { "content": "def install_agent():\n run(\n \"curl -OkL https://raw.github.com/rackerlabs\"\n \"/openstack-guest-agents-unix/master/tests/functional/install_agent.py\")\n run(\"python install_agent.py\")\n run(\"rm -rf install_agent.py\")", "metadata": "root.install_agent", "header": "['module', '___EOS___']", "index": 44 }, { "content": "def run_tests():\n run(\"curl -OkL https://raw.github.com/rackerlabs/\"\n \"openstack-guest-agents-unix/master/tests/functional/agent_tester.py\")\n run(\"python agent_tester.py\")\n run(\"rm -rf agent_tester.py\")", "metadata": "root.run_tests", "header": "['module', '___EOS___']", "index": 52 }, { "content": "def install_agent_and_run_tests():\n load_config()\n install_python_and_curl()\n install_agent()\n print(\"Going for reboot\")\n time.sleep(5)\n fabric.operations.reboot(120)\n run_tests()", "metadata": "root.install_agent_and_run_tests", "header": "['module', '___EOS___']", "index": 59 }, { "content": "def load_config():\n fabfile = server_creator.create_server(120)\n config = RawConfigParser()\n config.read(os.path.join(os.getcwd(), fabfile))\n hosts = config.get('credentials', 'ipv4')\n user = config.get('credentials', 'username')\n print user\n print hosts\n env.host_string = user + \"@\" + hosts\n env.password = config.get('credentials', 'adminpass')", "metadata": "root.load_config", "header": "['module', '___EOS___']", "index": 69 } ]

[ { "span": "from fabric.operations import put", "start_line": 7, "start_column": 0, "end_line": 7, "end_column": 33 } ]

[]

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[ { "content": "\nfrom muntjac.demo.sampler.features.layouts.CustomLayouts import CustomLayouts\nfrom muntjac.demo.sampler.features.layouts.SplitPanelBasic import SplitPanelBasic\nfrom muntjac.demo.sampler.features.layouts.SplitPanelPositioning import SplitPanelPositioning\nfrom muntjac.demo.sampler.features.layouts.WebLayout import WebLayout\nfrom muntjac.demo.sampler.features.layouts.CssLayouts import CssLayouts\nfrom muntjac.demo.sampler.features.layouts.LayoutSpacing import LayoutSpacing\nfrom muntjac.demo.sampler.features.layouts.VerticalLayoutBasic import VerticalLayoutBasic\nfrom muntjac.demo.sampler.features.layouts.HorizontalLayoutBasic import HorizontalLayoutBasic\nfrom muntjac.demo.sampler.features.layouts.ExpandingComponent import ExpandingComponent\nfrom muntjac.demo.sampler.features.layouts.LayoutAlignment import LayoutAlignment\nfrom muntjac.demo.sampler.features.layouts.ClickableLayoutBasic import ClickableLayoutBasic\nfrom muntjac.demo.sampler.features.layouts.LayoutMargin import LayoutMargin\nfrom muntjac.demo.sampler.features.layouts.GridLayoutBasic import GridLayoutBasic\nfrom muntjac.demo.sampler.features.layouts.ApplicationLayout import ApplicationLayout\nfrom muntjac.demo.sampler.features.layouts.AbsoluteLayoutBasic import AbsoluteLayoutBasic\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 } ]

[ { "span": "from muntjac.demo.sampler.features.layouts.CustomLayouts import CustomLayouts", "start_line": 1, "start_column": 0, "end_line": 1, "end_column": 77 }, { "span": "from muntjac.demo.sampler.features.layouts.SplitPanelBasic import SplitPanelBasic", "start_line": 2, "start_column": 0, "end_line": 2, "end_column": 81 }, { "span": "from muntjac.demo.sampler.features.layouts.SplitPanelPositioning import SplitPanelPositioning", "start_line": 3, "start_column": 0, "end_line": 3, "end_column": 93 }, { "span": "from muntjac.demo.sampler.features.layouts.WebLayout import WebLayout", "start_line": 4, "start_column": 0, "end_line": 4, "end_column": 69 }, { "span": "from muntjac.demo.sampler.features.layouts.CssLayouts import CssLayouts", "start_line": 5, "start_column": 0, "end_line": 5, "end_column": 71 }, { "span": "from muntjac.demo.sampler.features.layouts.LayoutSpacing import LayoutSpacing", "start_line": 6, "start_column": 0, "end_line": 6, "end_column": 77 }, { "span": "from muntjac.demo.sampler.features.layouts.VerticalLayoutBasic import VerticalLayoutBasic", "start_line": 7, "start_column": 0, "end_line": 7, "end_column": 89 }, { "span": "from muntjac.demo.sampler.features.layouts.HorizontalLayoutBasic import HorizontalLayoutBasic", "start_line": 8, "start_column": 0, "end_line": 8, "end_column": 93 }, { "span": "from muntjac.demo.sampler.features.layouts.ExpandingComponent import ExpandingComponent", "start_line": 9, "start_column": 0, "end_line": 9, "end_column": 87 }, { "span": "from muntjac.demo.sampler.features.layouts.LayoutAlignment import LayoutAlignment", "start_line": 10, "start_column": 0, "end_line": 10, "end_column": 81 }, { "span": "from muntjac.demo.sampler.features.layouts.ClickableLayoutBasic import ClickableLayoutBasic", "start_line": 11, "start_column": 0, "end_line": 11, "end_column": 91 }, { "span": "from muntjac.demo.sampler.features.layouts.LayoutMargin import LayoutMargin", "start_line": 12, "start_column": 0, "end_line": 12, "end_column": 75 }, { "span": "from muntjac.demo.sampler.features.layouts.GridLayoutBasic import GridLayoutBasic", "start_line": 13, "start_column": 0, "end_line": 13, "end_column": 81 }, { "span": "from muntjac.demo.sampler.features.layouts.ApplicationLayout import ApplicationLayout", "start_line": 14, "start_column": 0, "end_line": 14, "end_column": 85 }, { "span": "from muntjac.demo.sampler.features.layouts.AbsoluteLayoutBasic import AbsoluteLayoutBasic", "start_line": 15, "start_column": 0, "end_line": 15, "end_column": 89 } ]

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[ { "content": "@total_ordering\nclass Field(object):\n \"\"\"Base class for all field types\"\"\"\n\n # Designates whether empty strings fundamentally are allowed at the\n # database level.\n empty_strings_allowed = True\n\n # These track each time a Field instance is created. Used to retain order.\n # The auto_creation_counter is used for fields that Django implicitly\n # creates, creation_counter is used for all user-specified fields.\n creation_counter = 0\n auto_creation_counter = -1\n default_validators = [] # Default set of validators\n default_error_messages = {\n 'invalid_choice': _('Value %r is not a valid choice.'),\n 'null': _('This field cannot be null.'),\n 'blank': _('This field cannot be blank.'),\n 'unique': _('%(model_name)s with this %(field_label)s '\n 'already exists.'),\n }\n\n # Generic field type description, usually overriden by subclasses\n description = property(_description)\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n choices = property(_get_choices)\n\n flatchoices = property(_get_flatchoices)\n\n\n\n", "metadata": "root.Field", "header": "['module', '___EOS___']", "index": 51 }, { "content": " def _description(self):\n return _('Field of type: %(field_type)s') % {\n 'field_type': self.__class__.__name__\n }", "metadata": "root.Field._description", "header": "['class', 'Field', '(', 'object', ')', ':', '___EOS___']", "index": 74 }, { "content": " def __init__(self, verbose_name=None, name=None, primary_key=False,\n max_length=None, unique=False, blank=False, null=False,\n db_index=False, rel=None, default=NOT_PROVIDED, editable=True,\n serialize=True, unique_for_date=None, unique_for_month=None,\n unique_for_year=None, choices=None, help_text='', db_column=None,\n db_tablespace=None, auto_created=False, validators=[],\n error_messages=None):\n self.name = name\n self.verbose_name = verbose_name\n self.primary_key = primary_key\n self.max_length, self._unique = max_length, unique\n self.blank, self.null = blank, null\n self.rel = rel\n self.default = default\n self.editable = editable\n self.serialize = serialize\n self.unique_for_date, self.unique_for_month = (unique_for_date,\n unique_for_month)\n self.unique_for_year = unique_for_year\n self._choices = choices or []\n self.help_text = help_text\n self.db_column = db_column\n self.db_tablespace = db_tablespace or settings.DEFAULT_INDEX_TABLESPACE\n self.auto_created = auto_created\n\n # Set db_index to True if the field has a relationship and doesn't\n # explicitly set db_index.\n self.db_index = db_index\n\n # Adjust the appropriate creation counter, and save our local copy.\n if auto_created:\n self.creation_counter = Field.auto_creation_counter\n Field.auto_creation_counter -= 1\n else:\n self.creation_counter = Field.creation_counter\n Field.creation_counter += 1\n\n self.validators = self.default_validators + validators\n\n messages = {}\n for c in reversed(self.__class__.__mro__):\n messages.update(getattr(c, 'default_error_messages', {}))\n messages.update(error_messages or {})\n self.error_messages = messages", "metadata": "root.Field.__init__", "header": "['class', 'Field', '(', 'object', ')', ':', '___EOS___']", "index": 80 }, { "content": " def __eq__(self, other):\n # Needed for @total_ordering\n if isinstance(other, Field):\n return self.creation_counter == other.creation_counter\n return NotImplemented", "metadata": "root.Field.__eq__", "header": "['class', 'Field', '(', 'object', ')', ':', '___EOS___']", "index": 125 }, { "content": " def __lt__(self, other):\n # This is needed because bisect does not take a comparison function.\n if isinstance(other, Field):\n return self.creation_counter < other.creation_counter\n return NotImplemented", "metadata": "root.Field.__lt__", "header": "['class', 'Field', '(', 'object', ')', ':', '___EOS___']", "index": 131 }, { "content": " def __hash__(self):\n return hash(self.creation_counter)", "metadata": "root.Field.__hash__", "header": "['class', 'Field', '(', 'object', ')', ':', '___EOS___']", "index": 137 }, { "content": " def __deepcopy__(self, memodict):\n # We don't have to deepcopy very much here, since most things are not\n # intended to be altered after initial creation.\n obj = copy.copy(self)\n if self.rel:\n obj.rel = copy.copy(self.rel)\n memodict[id(self)] = obj\n return obj", "metadata": "root.Field.__deepcopy__", "header": "['class', 'Field', '(', 'object', ')', ':', '___EOS___']", "index": 140 }, { "content": " def to_python(self, value):\n \"\"\"\n Converts the input value into the expected Python data type, raising\n django.core.exceptions.ValidationError if the data can't be converted.\n Returns the converted value. Subclasses should override this.\n \"\"\"\n return value", "metadata": "root.Field.to_python", "header": "['class', 'Field', '(', 'object', ')', ':', '___EOS___']", "index": 149 }, { "content": " def run_validators(self, value):\n if value in validators.EMPTY_VALUES:\n return\n\n errors = []\n for v in self.validators:\n try:\n v(value)\n except exceptions.ValidationError as e:\n if hasattr(e, 'code') and e.code in self.error_messages:\n message = self.error_messages[e.code]\n if e.params:\n message = message % e.params\n errors.append(message)\n else:\n errors.extend(e.messages)\n if errors:\n raise exceptions.ValidationError(errors)", "metadata": "root.Field.run_validators", "header": "['class', 'Field', '(', 'object', ')', ':', '___EOS___']", "index": 157 }, { "content": " def validate(self, value, model_instance):\n \"\"\"\n Validates value and throws ValidationError. Subclasses should override\n this to provide validation logic.\n \"\"\"\n if not self.editable:\n # Skip validation for non-editable fields.\n return\n\n if self._choices and value not in validators.EMPTY_VALUES:\n for option_key, option_value in self.choices:\n if isinstance(option_value, (list, tuple)):\n # This is an optgroup, so look inside the group for\n # options.\n for optgroup_key, optgroup_value in option_value:\n if value == optgroup_key:\n return\n elif value == option_key:\n return\n msg = self.error_messages['invalid_choice'] % value\n raise exceptions.ValidationError(msg)\n\n if value is None and not self.null:\n raise exceptions.ValidationError(self.error_messages['null'])\n\n if not self.blank and value in validators.EMPTY_VALUES:\n raise exceptions.ValidationError(self.error_messages['blank'])", "metadata": "root.Field.validate", "header": "['class', 'Field', '(', 'object', ')', ':', '___EOS___']", "index": 176 }, { "content": " def clean(self, value, model_instance):\n \"\"\"\n Convert the value's type and run validation. Validation errors\n from to_python and validate are propagated. The correct value is\n returned if no error is raised.\n \"\"\"\n value = self.to_python(value)\n self.validate(value, model_instance)\n self.run_validators(value)\n return value", "metadata": "root.Field.clean", "header": "['class', 'Field', '(', 'object', ')', ':', '___EOS___']", "index": 204 }, { "content": " def db_type(self, connection):\n \"\"\"\n Returns the database column data type for this field, for the provided\n connection.\n \"\"\"\n # The default implementation of this method looks at the\n # backend-specific DATA_TYPES dictionary, looking up the field by its\n # \"internal type\".\n #\n # A Field class can implement the get_internal_type() method to specify\n # which *preexisting* Django Field class it's most similar to -- i.e.,\n # a custom field might be represented by a TEXT column type, which is\n # the same as the TextField Django field type, which means the custom\n # field's get_internal_type() returns 'TextField'.\n #\n # But the limitation of the get_internal_type() / data_types approach\n # is that it cannot handle database column types that aren't already\n # mapped to one of the built-in Django field types. In this case, you\n # can implement db_type() instead of get_internal_type() to specify\n # exactly which wacky database column type you want to use.\n data = DictWrapper(self.__dict__, connection.ops.quote_name, \"qn_\")\n try:\n return (connection.creation.data_types[self.get_internal_type()]\n % data)\n except KeyError:\n return None", "metadata": "root.Field.db_type", "header": "['class', 'Field', '(', 'object', ')', ':', '___EOS___']", "index": 215 }, { "content": " @property\n def unique(self):\n return self._unique or self.primary_key", "metadata": "root.Field.unique", "header": "['class', 'Field', '(', 'object', ')', ':', '___EOS___']", "index": 242 }, { "content": " def set_attributes_from_name(self, name):\n if not self.name:\n self.name = name\n self.attname, self.column = self.get_attname_column()\n if self.verbose_name is None and self.name:\n self.verbose_name = self.name.replace('_', ' ')", "metadata": "root.Field.set_attributes_from_name", "header": "['class', 'Field', '(', 'object', ')', ':', '___EOS___']", "index": 246 }, { "content": " def contribute_to_class(self, cls, name):\n self.set_attributes_from_name(name)\n self.model = cls\n cls._meta.add_field(self)\n if self.choices:\n setattr(cls, 'get_%s_display' % self.name,\n curry(cls._get_FIELD_display, field=self))", "metadata": "root.Field.contribute_to_class", "header": "['class', 'Field', '(', 'object', ')', ':', '___EOS___']", "index": 253 }, { "content": " def get_attname(self):\n return self.name", "metadata": "root.Field.get_attname", "header": "['class', 'Field', '(', 'object', ')', ':', '___EOS___']", "index": 261 }, { "content": " def get_attname_column(self):\n attname = self.get_attname()\n column = self.db_column or attname\n return attname, column", "metadata": "root.Field.get_attname_column", "header": "['class', 'Field', '(', 'object', ')', ':', '___EOS___']", "index": 264 }, { "content": " def get_cache_name(self):\n return '_%s_cache' % self.name", "metadata": "root.Field.get_cache_name", "header": "['class', 'Field', '(', 'object', ')', ':', '___EOS___']", "index": 269 }, { "content": " def get_internal_type(self):\n return self.__class__.__name__", "metadata": "root.Field.get_internal_type", "header": "['class', 'Field', '(', 'object', ')', ':', '___EOS___']", "index": 272 }, { "content": " def pre_save(self, model_instance, add):\n \"\"\"\n Returns field's value just before saving.\n \"\"\"\n return getattr(model_instance, self.attname)", "metadata": "root.Field.pre_save", "header": "['class', 'Field', '(', 'object', ')', ':', '___EOS___']", "index": 275 }, { "content": " def get_prep_value(self, value):\n \"\"\"\n Perform preliminary non-db specific value checks and conversions.\n \"\"\"\n return value", "metadata": "root.Field.get_prep_value", "header": "['class', 'Field', '(', 'object', ')', ':', '___EOS___']", "index": 281 }, { "content": " def get_db_prep_value(self, value, connection, prepared=False):\n \"\"\"Returns field's value prepared for interacting with the database\n backend.\n\n Used by the default implementations of ``get_db_prep_save``and\n `get_db_prep_lookup```\n \"\"\"\n if not prepared:\n value = self.get_prep_value(value)\n return value", "metadata": "root.Field.get_db_prep_value", "header": "['class', 'Field', '(', 'object', ')', ':', '___EOS___']", "index": 287 }, { "content": " def get_db_prep_save(self, value, connection):\n \"\"\"\n Returns field's value prepared for saving into a database.\n \"\"\"\n return self.get_db_prep_value(value, connection=connection,\n prepared=False)", "metadata": "root.Field.get_db_prep_save", "header": "['class', 'Field', '(', 'object', ')', ':', '___EOS___']", "index": 298 }, { "content": " def get_prep_lookup(self, lookup_type, value):\n \"\"\"\n Perform preliminary non-db specific lookup checks and conversions\n \"\"\"\n if hasattr(value, 'prepare'):\n return value.prepare()\n if hasattr(value, '_prepare'):\n return value._prepare()\n\n if lookup_type in (\n 'regex', 'iregex', 'month', 'day', 'week_day', 'search',\n 'contains', 'icontains', 'iexact', 'startswith', 'istartswith',\n 'endswith', 'iendswith', 'isnull'\n ):\n return value\n elif lookup_type in ('exact', 'gt', 'gte', 'lt', 'lte'):\n return self.get_prep_value(value)\n elif lookup_type in ('range', 'in'):\n return [self.get_prep_value(v) for v in value]\n elif lookup_type == 'year':\n try:\n return int(value)\n except ValueError:\n raise ValueError(\"The __year lookup type requires an integer \"\n \"argument\")\n\n raise TypeError(\"Field has invalid lookup: %s\" % lookup_type)", "metadata": "root.Field.get_prep_lookup", "header": "['class', 'Field', '(', 'object', ')', ':', '___EOS___']", "index": 305 }, { "content": " def get_db_prep_lookup(self, lookup_type, value, connection,\n prepared=False):\n \"\"\"\n Returns field's value prepared for database lookup.\n \"\"\"\n if not prepared:\n value = self.get_prep_lookup(lookup_type, value)\n if hasattr(value, 'get_compiler'):\n value = value.get_compiler(connection=connection)\n if hasattr(value, 'as_sql') or hasattr(value, '_as_sql'):\n # If the value has a relabel_aliases method, it will need to\n # be invoked before the final SQL is evaluated\n if hasattr(value, 'relabel_aliases'):\n return value\n if hasattr(value, 'as_sql'):\n sql, params = value.as_sql()\n else:\n sql, params = value._as_sql(connection=connection)\n return QueryWrapper(('(%s)' % sql), params)\n\n if lookup_type in ('regex', 'iregex', 'month', 'day', 'week_day',\n 'search'):\n return [value]\n elif lookup_type in ('exact', 'gt', 'gte', 'lt', 'lte'):\n return [self.get_db_prep_value(value, connection=connection,\n prepared=prepared)]\n elif lookup_type in ('range', 'in'):\n return [self.get_db_prep_value(v, connection=connection,\n prepared=prepared) for v in value]\n elif lookup_type in ('contains', 'icontains'):\n return [\"%%%s%%\" % connection.ops.prep_for_like_query(value)]\n elif lookup_type == 'iexact':\n return [connection.ops.prep_for_iexact_query(value)]\n elif lookup_type in ('startswith', 'istartswith'):\n return [\"%s%%\" % connection.ops.prep_for_like_query(value)]\n elif lookup_type in ('endswith', 'iendswith'):\n return [\"%%%s\" % connection.ops.prep_for_like_query(value)]\n elif lookup_type == 'isnull':\n return []\n elif lookup_type == 'year':\n if self.get_internal_type() == 'DateField':\n return connection.ops.year_lookup_bounds_for_date_field(value)\n else:\n return connection.ops.year_lookup_bounds(value)", "metadata": "root.Field.get_db_prep_lookup", "header": "['class', 'Field', '(', 'object', ')', ':', '___EOS___']", "index": 333 }, { "content": " def has_default(self):\n \"\"\"\n Returns a boolean of whether this field has a default value.\n \"\"\"\n return self.default is not NOT_PROVIDED", "metadata": "root.Field.has_default", "header": "['class', 'Field', '(', 'object', ')', ':', '___EOS___']", "index": 378 }, { "content": " def get_default(self):\n \"\"\"\n Returns the default value for this field.\n \"\"\"\n if self.has_default():\n if callable(self.default):\n return self.default()\n return force_text(self.default, strings_only=True)\n if (not self.empty_strings_allowed or (self.null and\n not connection.features.interprets_empty_strings_as_nulls)):\n return None\n return \"\"", "metadata": "root.Field.get_default", "header": "['class', 'Field', '(', 'object', ')', ':', '___EOS___']", "index": 384 }, { "content": " def get_validator_unique_lookup_type(self):\n return '%s__exact' % self.name", "metadata": "root.Field.get_validator_unique_lookup_type", "header": "['class', 'Field', '(', 'object', ')', ':', '___EOS___']", "index": 397 }, { "content": " def get_choices(self, include_blank=True, blank_choice=BLANK_CHOICE_DASH):\n \"\"\"Returns choices with a default blank choices included, for use\n as SelectField choices for this field.\"\"\"\n first_choice = include_blank and blank_choice or []\n if self.choices:\n return first_choice + list(self.choices)\n rel_model = self.rel.to\n if hasattr(self.rel, 'get_related_field'):\n lst = [(getattr(x, self.rel.get_related_field().attname),\n smart_text(x))\n for x in rel_model._default_manager.complex_filter(\n self.rel.limit_choices_to)]\n else:\n lst = [(x._get_pk_val(), smart_text(x))\n for x in rel_model._default_manager.complex_filter(\n self.rel.limit_choices_to)]\n return first_choice + lst", "metadata": "root.Field.get_choices", "header": "['class', 'Field', '(', 'object', ')', ':', '___EOS___']", "index": 400 }, { "content": " def get_choices_default(self):\n return self.get_choices()", "metadata": "root.Field.get_choices_default", "header": "['class', 'Field', '(', 'object', ')', ':', '___EOS___']", "index": 418 }, { "content": " def get_flatchoices(self, include_blank=True,\n blank_choice=BLANK_CHOICE_DASH):\n \"\"\"\n Returns flattened choices with a default blank choice included.\n \"\"\"\n first_choice = include_blank and blank_choice or []\n return first_choice + list(self.flatchoices)", "metadata": "root.Field.get_flatchoices", "header": "['class', 'Field', '(', 'object', ')', ':', '___EOS___']", "index": 421 }, { "content": " def _get_val_from_obj(self, obj):\n if obj is not None:\n return getattr(obj, self.attname)\n else:\n return self.get_default()", "metadata": "root.Field._get_val_from_obj", "header": "['class', 'Field', '(', 'object', ')', ':', '___EOS___']", "index": 429 }, { "content": " def value_to_string(self, obj):\n \"\"\"\n Returns a string value of this field from the passed obj.\n This is used by the serialization framework.\n \"\"\"\n return smart_text(self._get_val_from_obj(obj))", "metadata": "root.Field.value_to_string", "header": "['class', 'Field', '(', 'object', ')', ':', '___EOS___']", "index": 435 }, { "content": " def bind(self, fieldmapping, original, bound_field_class):\n return bound_field_class(self, fieldmapping, original)", "metadata": "root.Field.bind", "header": "['class', 'Field', '(', 'object', ')', ':', '___EOS___']", "index": 442 }, { "content": " def _get_choices(self):\n if isinstance(self._choices, collections.Iterator):\n choices, self._choices = tee(self._choices)\n return choices\n else:\n return self._choices", "metadata": "root.Field._get_choices", "header": "['class', 'Field', '(', 'object', ')', ':', '___EOS___']", "index": 445 }, { "content": " def _get_flatchoices(self):\n \"\"\"Flattened version of choices tuple.\"\"\"\n flat = []\n for choice, value in self.choices:\n if isinstance(value, (list, tuple)):\n flat.extend(value)\n else:\n flat.append((choice,value))\n return flat", "metadata": "root.Field._get_flatchoices", "header": "['class', 'Field', '(', 'object', ')', ':', '___EOS___']", "index": 453 }, { "content": " def save_form_data(self, instance, data):\n setattr(instance, self.name, data)", "metadata": "root.Field.save_form_data", "header": "['class', 'Field', '(', 'object', ')', ':', '___EOS___']", "index": 464 }, { "content": " def formfield(self, form_class=forms.CharField, **kwargs):\n \"\"\"\n Returns a django.forms.Field instance for this database Field.\n \"\"\"\n defaults = {'required': not self.blank,\n 'label': capfirst(self.verbose_name),\n 'help_text': self.help_text}\n if self.has_default():\n if callable(self.default):\n defaults['initial'] = self.default\n defaults['show_hidden_initial'] = True\n else:\n defaults['initial'] = self.get_default()\n if self.choices:\n # Fields with choices get special treatment.\n include_blank = (self.blank or\n not (self.has_default() or 'initial' in kwargs))\n defaults['choices'] = self.get_choices(include_blank=include_blank)\n defaults['coerce'] = self.to_python\n if self.null:\n defaults['empty_value'] = None\n form_class = forms.TypedChoiceField\n # Many of the subclass-specific formfield arguments (min_value,\n # max_value) don't apply for choice fields, so be sure to only pass\n # the values that TypedChoiceField will understand.\n for k in list(kwargs):\n if k not in ('coerce', 'empty_value', 'choices', 'required',\n 'widget', 'label', 'initial', 'help_text',\n 'error_messages', 'show_hidden_initial'):\n del kwargs[k]\n defaults.update(kwargs)\n return form_class(**defaults)", "metadata": "root.Field.formfield", "header": "['class', 'Field', '(', 'object', ')', ':', '___EOS___']", "index": 467 }, { "content": " def value_from_object(self, obj):\n \"\"\"\n Returns the value of this field in the given model instance.\n \"\"\"\n return getattr(obj, self.attname)", "metadata": "root.Field.value_from_object", "header": "['class', 'Field', '(', 'object', ')', ':', '___EOS___']", "index": 500 }, { "content": " def __repr__(self):\n \"\"\"\n Displays the module, class and name of the field.\n \"\"\"\n path = '%s.%s' % (self.__class__.__module__, self.__class__.__name__)\n name = getattr(self, 'name', None)\n if name is not None:\n return '<%s: %s>' % (path, name)\n return '<%s>' % path", "metadata": "root.Field.__repr__", "header": "['class', 'Field', '(', 'object', ')', ':', '___EOS___']", "index": 506 }, { "content": "class DateField(Field):\n empty_strings_allowed = False\n default_error_messages = {\n 'invalid': _(\"'%s' value has an invalid date format. It must be \"\n \"in YYYY-MM-DD format.\"),\n 'invalid_date': _(\"'%s' value has the correct format (YYYY-MM-DD) \"\n \"but it is an invalid date.\"),\n }\n description = _(\"Date (without time)\")\n\n\n\n\n\n\n\n\n\n", "metadata": "root.DateField", "header": "['module', '___EOS___']", "index": 661 }, { "content": " def __init__(self, verbose_name=None, name=None, auto_now=False,\n auto_now_add=False, **kwargs):\n self.auto_now, self.auto_now_add = auto_now, auto_now_add\n if auto_now or auto_now_add:\n kwargs['editable'] = False\n kwargs['blank'] = True\n Field.__init__(self, verbose_name, name, **kwargs)", "metadata": "root.DateField.__init__", "header": "['class', 'DateField', '(', 'Field', ')', ':', '___EOS___']", "index": 671 }, { "content": " def get_internal_type(self):\n return \"DateField\"", "metadata": "root.DateField.get_internal_type", "header": "['class', 'DateField', '(', 'Field', ')', ':', '___EOS___']", "index": 679 }, { "content": " def to_python(self, value):\n if value is None:\n return value\n if isinstance(value, datetime.datetime):\n if settings.USE_TZ and timezone.is_aware(value):\n # Convert aware datetimes to the default time zone\n # before casting them to dates (#17742).\n default_timezone = timezone.get_default_timezone()\n value = timezone.make_naive(value, default_timezone)\n return value.date()\n if isinstance(value, datetime.date):\n return value\n\n try:\n parsed = parse_date(value)\n if parsed is not None:\n return parsed\n except ValueError:\n msg = self.error_messages['invalid_date'] % value\n raise exceptions.ValidationError(msg)\n\n msg = self.error_messages['invalid'] % value\n raise exceptions.ValidationError(msg)", "metadata": "root.DateField.to_python", "header": "['class', 'DateField', '(', 'Field', ')', ':', '___EOS___']", "index": 682 }, { "content": " def pre_save(self, model_instance, add):\n if self.auto_now or (self.auto_now_add and add):\n value = datetime.date.today()\n setattr(model_instance, self.attname, value)\n return value\n else:\n return super(DateField, self).pre_save(model_instance, add)", "metadata": "root.DateField.pre_save", "header": "['class', 'DateField', '(', 'Field', ')', ':', '___EOS___']", "index": 706 }, { "content": " def contribute_to_class(self, cls, name):\n super(DateField,self).contribute_to_class(cls, name)\n if not self.null:\n setattr(cls, 'get_next_by_%s' % self.name,\n curry(cls._get_next_or_previous_by_FIELD, field=self,\n is_next=True))\n setattr(cls, 'get_previous_by_%s' % self.name,\n curry(cls._get_next_or_previous_by_FIELD, field=self,\n is_next=False))", "metadata": "root.DateField.contribute_to_class", "header": "['class', 'DateField', '(', 'Field', ')', ':', '___EOS___']", "index": 714 }, { "content": " def get_prep_lookup(self, lookup_type, value):\n # For \"__month\", \"__day\", and \"__week_day\" lookups, convert the value\n # to an int so the database backend always sees a consistent type.\n if lookup_type in ('month', 'day', 'week_day'):\n return int(value)\n return super(DateField, self).get_prep_lookup(lookup_type, value)", "metadata": "root.DateField.get_prep_lookup", "header": "['class', 'DateField', '(', 'Field', ')', ':', '___EOS___']", "index": 724 }, { "content": " def get_prep_value(self, value):\n return self.to_python(value)", "metadata": "root.DateField.get_prep_value", "header": "['class', 'DateField', '(', 'Field', ')', ':', '___EOS___']", "index": 731 }, { "content": " def get_db_prep_value(self, value, connection, prepared=False):\n # Casts dates into the format expected by the backend\n if not prepared:\n value = self.get_prep_value(value)\n return connection.ops.value_to_db_date(value)", "metadata": "root.DateField.get_db_prep_value", "header": "['class', 'DateField', '(', 'Field', ')', ':', '___EOS___']", "index": 734 }, { "content": " def value_to_string(self, obj):\n val = self._get_val_from_obj(obj)\n return '' if val is None else val.isoformat()", "metadata": "root.DateField.value_to_string", "header": "['class', 'DateField', '(', 'Field', ')', ':', '___EOS___']", "index": 740 }, { "content": " def formfield(self, **kwargs):\n defaults = {'form_class': forms.DateField}\n defaults.update(kwargs)\n return super(DateField, self).formfield(**defaults)", "metadata": "root.DateField.formfield", "header": "['class', 'DateField', '(', 'Field', ')', ':', '___EOS___']", "index": 744 }, { "content": "class DecimalField(Field):\n empty_strings_allowed = False\n default_error_messages = {\n 'invalid': _(\"'%s' value must be a decimal number.\"),\n }\n description = _(\"Decimal number\")\n\n\n\n\n\n\n\n", "metadata": "root.DecimalField", "header": "['module', '___EOS___']", "index": 846 }, { "content": " def __init__(self, verbose_name=None, name=None, max_digits=None,\n decimal_places=None, **kwargs):\n self.max_digits, self.decimal_places = max_digits, decimal_places\n Field.__init__(self, verbose_name, name, **kwargs)", "metadata": "root.DecimalField.__init__", "header": "['class', 'DecimalField', '(', 'Field', ')', ':', '___EOS___']", "index": 853 }, { "content": " def get_internal_type(self):\n return \"DecimalField\"", "metadata": "root.DecimalField.get_internal_type", "header": "['class', 'DecimalField', '(', 'Field', ')', ':', '___EOS___']", "index": 858 }, { "content": " def to_python(self, value):\n if value is None:\n return value\n try:\n return decimal.Decimal(value)\n except decimal.InvalidOperation:\n msg = self.error_messages['invalid'] % value\n raise exceptions.ValidationError(msg)", "metadata": "root.DecimalField.to_python", "header": "['class', 'DecimalField', '(', 'Field', ')', ':', '___EOS___']", "index": 861 }, { "content": " def _format(self, value):\n if isinstance(value, six.string_types) or value is None:\n return value\n else:\n return self.format_number(value)", "metadata": "root.DecimalField._format", "header": "['class', 'DecimalField', '(', 'Field', ')', ':', '___EOS___']", "index": 870 }, { "content": " def format_number(self, value):\n \"\"\"\n Formats a number into a string with the requisite number of digits and\n decimal places.\n \"\"\"\n # Method moved to django.db.backends.util.\n #\n # It is preserved because it is used by the oracle backend\n # (django.db.backends.oracle.query), and also for\n # backwards-compatibility with any external code which may have used\n # this method.\n from django.db.backends import util\n return util.format_number(value, self.max_digits, self.decimal_places)", "metadata": "root.DecimalField.format_number", "header": "['class', 'DecimalField', '(', 'Field', ')', ':', '___EOS___']", "index": 876 }, { "content": " def get_db_prep_save(self, value, connection):\n return connection.ops.value_to_db_decimal(self.to_python(value),\n self.max_digits, self.decimal_places)", "metadata": "root.DecimalField.get_db_prep_save", "header": "['class', 'DecimalField', '(', 'Field', ')', ':', '___EOS___']", "index": 890 }, { "content": " def get_prep_value(self, value):\n return self.to_python(value)", "metadata": "root.DecimalField.get_prep_value", "header": "['class', 'DecimalField', '(', 'Field', ')', ':', '___EOS___']", "index": 894 }, { "content": " def formfield(self, **kwargs):\n defaults = {\n 'max_digits': self.max_digits,\n 'decimal_places': self.decimal_places,\n 'form_class': forms.DecimalField,\n }\n defaults.update(kwargs)\n return super(DecimalField, self).formfield(**defaults)", "metadata": "root.DecimalField.formfield", "header": "['class', 'DecimalField', '(', 'Field', ')', ':', '___EOS___']", "index": 897 }, { "content": "class FilePathField(Field):\n description = _(\"File path\")\n\n\n", "metadata": "root.FilePathField", "header": "['module', '___EOS___']", "index": 926 }, { "content": " def __init__(self, verbose_name=None, name=None, path='', match=None,\n recursive=False, allow_files=True, allow_folders=False, **kwargs):\n self.path, self.match, self.recursive = path, match, recursive\n self.allow_files, self.allow_folders = allow_files, allow_folders\n kwargs['max_length'] = kwargs.get('max_length', 100)\n Field.__init__(self, verbose_name, name, **kwargs)", "metadata": "root.FilePathField.__init__", "header": "['class', 'FilePathField', '(', 'Field', ')', ':', '___EOS___']", "index": 929 }, { "content": " def formfield(self, **kwargs):\n defaults = {\n 'path': self.path,\n 'match': self.match,\n 'recursive': self.recursive,\n 'form_class': forms.FilePathField,\n 'allow_files': self.allow_files,\n 'allow_folders': self.allow_folders,\n }\n defaults.update(kwargs)\n return super(FilePathField, self).formfield(**defaults)", "metadata": "root.FilePathField.formfield", "header": "['class', 'FilePathField', '(', 'Field', ')', ':', '___EOS___']", "index": 936 }, { "content": " def get_internal_type(self):\n return \"FilePathField\"", "metadata": "root.FilePathField.get_internal_type", "header": "['class', 'FilePathField', '(', 'Field', ')', ':', '___EOS___']", "index": 948 }, { "content": "class GenericIPAddressField(Field):\n empty_strings_allowed = True\n description = _(\"IP address\")\n default_error_messages = {}\n\n\n\n\n\n", "metadata": "root.GenericIPAddressField", "header": "['module', '___EOS___']", "index": 1045 }, { "content": " def __init__(self, verbose_name=None, name=None, protocol='both',\n unpack_ipv4=False, *args, **kwargs):\n self.unpack_ipv4 = unpack_ipv4\n self.default_validators, invalid_error_message = \\\n validators.ip_address_validators(protocol, unpack_ipv4)\n self.default_error_messages['invalid'] = invalid_error_message\n kwargs['max_length'] = 39\n Field.__init__(self, verbose_name, name, *args, **kwargs)", "metadata": "root.GenericIPAddressField.__init__", "header": "['class', 'GenericIPAddressField', '(', 'Field', ')', ':', '___EOS___']", "index": 1050 }, { "content": " def get_internal_type(self):\n return \"GenericIPAddressField\"", "metadata": "root.GenericIPAddressField.get_internal_type", "header": "['class', 'GenericIPAddressField', '(', 'Field', ')', ':', '___EOS___']", "index": 1059 }, { "content": " def to_python(self, value):\n if value and ':' in value:\n return clean_ipv6_address(value,\n self.unpack_ipv4, self.error_messages['invalid'])\n return value", "metadata": "root.GenericIPAddressField.to_python", "header": "['class', 'GenericIPAddressField', '(', 'Field', ')', ':', '___EOS___']", "index": 1062 }, { "content": " def get_db_prep_value(self, value, connection, prepared=False):\n if not prepared:\n value = self.get_prep_value(value)\n return value or None", "metadata": "root.GenericIPAddressField.get_db_prep_value", "header": "['class', 'GenericIPAddressField', '(', 'Field', ')', ':', '___EOS___']", "index": 1068 }, { "content": " def get_prep_value(self, value):\n if value and ':' in value:\n try:\n return clean_ipv6_address(value, self.unpack_ipv4)\n except exceptions.ValidationError:\n pass\n return value", "metadata": "root.GenericIPAddressField.get_prep_value", "header": "['class', 'GenericIPAddressField', '(', 'Field', ')', ':', '___EOS___']", "index": 1073 }, { "content": " def formfield(self, **kwargs):\n defaults = {'form_class': forms.GenericIPAddressField}\n defaults.update(kwargs)\n return super(GenericIPAddressField, self).formfield(**defaults)", "metadata": "root.GenericIPAddressField.formfield", "header": "['class', 'GenericIPAddressField', '(', 'Field', ')', ':', '___EOS___']", "index": 1081 }, { "content": "class TimeField(Field):\n empty_strings_allowed = False\n default_error_messages = {\n 'invalid': _(\"'%s' value has an invalid format. It must be in \"\n \"HH:MM[:ss[.uuuuuu]] format.\"),\n 'invalid_time': _(\"'%s' value has the correct format \"\n \"(HH:MM[:ss[.uuuuuu]]) but it is an invalid time.\"),\n }\n description = _(\"Time\")\n\n\n\n\n\n\n\n", "metadata": "root.TimeField", "header": "['module', '___EOS___']", "index": 1202 }, { "content": " def __init__(self, verbose_name=None, name=None, auto_now=False,\n auto_now_add=False, **kwargs):\n self.auto_now, self.auto_now_add = auto_now, auto_now_add\n if auto_now or auto_now_add:\n kwargs['editable'] = False\n kwargs['blank'] = True\n Field.__init__(self, verbose_name, name, **kwargs)", "metadata": "root.TimeField.__init__", "header": "['class', 'TimeField', '(', 'Field', ')', ':', '___EOS___']", "index": 1212 }, { "content": " def get_internal_type(self):\n return \"TimeField\"", "metadata": "root.TimeField.get_internal_type", "header": "['class', 'TimeField', '(', 'Field', ')', ':', '___EOS___']", "index": 1220 }, { "content": " def to_python(self, value):\n if value is None:\n return None\n if isinstance(value, datetime.time):\n return value\n if isinstance(value, datetime.datetime):\n # Not usually a good idea to pass in a datetime here (it loses\n # information), but this can be a side-effect of interacting with a\n # database backend (e.g. Oracle), so we'll be accommodating.\n return value.time()\n\n try:\n parsed = parse_time(value)\n if parsed is not None:\n return parsed\n except ValueError:\n msg = self.error_messages['invalid_time'] % value\n raise exceptions.ValidationError(msg)\n\n msg = self.error_messages['invalid'] % value\n raise exceptions.ValidationError(msg)", "metadata": "root.TimeField.to_python", "header": "['class', 'TimeField', '(', 'Field', ')', ':', '___EOS___']", "index": 1223 }, { "content": " def pre_save(self, model_instance, add):\n if self.auto_now or (self.auto_now_add and add):\n value = datetime.datetime.now().time()\n setattr(model_instance, self.attname, value)\n return value\n else:\n return super(TimeField, self).pre_save(model_instance, add)", "metadata": "root.TimeField.pre_save", "header": "['class', 'TimeField', '(', 'Field', ')', ':', '___EOS___']", "index": 1245 }, { "content": " def get_prep_value(self, value):\n return self.to_python(value)", "metadata": "root.TimeField.get_prep_value", "header": "['class', 'TimeField', '(', 'Field', ')', ':', '___EOS___']", "index": 1253 }, { "content": " def get_db_prep_value(self, value, connection, prepared=False):\n # Casts times into the format expected by the backend\n if not prepared:\n value = self.get_prep_value(value)\n return connection.ops.value_to_db_time(value)", "metadata": "root.TimeField.get_db_prep_value", "header": "['class', 'TimeField', '(', 'Field', ')', ':', '___EOS___']", "index": 1256 }, { "content": " def value_to_string(self, obj):\n val = self._get_val_from_obj(obj)\n return '' if val is None else val.isoformat()", "metadata": "root.TimeField.value_to_string", "header": "['class', 'TimeField', '(', 'Field', ')', ':', '___EOS___']", "index": 1262 }, { "content": " def formfield(self, **kwargs):\n defaults = {'form_class': forms.TimeField}\n defaults.update(kwargs)\n return super(TimeField, self).formfield(**defaults)", "metadata": "root.TimeField.formfield", "header": "['class', 'TimeField', '(', 'Field', ')', ':', '___EOS___']", "index": 1266 } ]

[ { "span": "class DateField(Field):", "start_line": 661, "start_column": 0, "end_line": 661, "end_column": 23 }, { "span": "class DecimalField(Field):", "start_line": 846, "start_column": 0, "end_line": 846, "end_column": 26 }, { "span": "class FilePathField(Field):", "start_line": 926, "start_column": 0, "end_line": 926, "end_column": 27 }, { "span": "class GenericIPAddressField(Field):", "start_line": 1045, "start_column": 0, "end_line": 1045, "end_column": 35 }, { "span": "class TimeField(Field):", "start_line": 1202, "start_column": 0, "end_line": 1202, "end_column": 23 } ]

[ { "span": "def __eq__(self, other):", "start_line": 125, "start_column": 4, "end_line": 125, "end_column": 28 }, { "span": "self.auto_now,", "start_line": 673, "start_column": 8, "end_line": 673, "end_column": 21 }, { "span": "self.auto_now_add ", "start_line": 673, "start_column": 23, "end_line": 673, "end_column": 40 }, { "span": "self.max_digits,", "start_line": 855, "start_column": 8, "end_line": 855, "end_column": 23 }, { "span": "self.decimal_places ", "start_line": 855, "start_column": 25, "end_line": 855, "end_column": 44 }, { "span": "self.path,", "start_line": 931, "start_column": 8, "end_line": 931, "end_column": 17 }, { "span": "self.match,", "start_line": 931, "start_column": 19, "end_line": 931, "end_column": 29 }, { "span": "self.recursive ", "start_line": 931, "start_column": 31, "end_line": 931, "end_column": 45 }, { "span": "self.allow_files,", "start_line": 932, "start_column": 8, "end_line": 932, "end_column": 24 }, { "span": "self.allow_folders ", "start_line": 932, "start_column": 26, "end_line": 932, "end_column": 44 }, { "span": "self.unpack_ipv4 ", "start_line": 1052, "start_column": 8, "end_line": 1052, "end_column": 24 }, { "span": "self.default_validators,", "start_line": 1053, "start_column": 8, "end_line": 1053, "end_column": 31 }, { "span": "self.auto_now,", "start_line": 1214, "start_column": 8, "end_line": 1214, "end_column": 21 }, { "span": "self.auto_now_add ", "start_line": 1214, "start_column": 23, "end_line": 1214, "end_column": 40 } ]

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[ { "content": "\"\"\"\nThis package contains all the plugin modules that ship with the system.\n\"\"\"\n\n# import all the modules\nfrom focus.plugin.modules import (\n apps, im, notify, sites,\n sounds, stats, tasks, timer\n)\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 } ]

[ { "span": "from focus.plugin.modules import (\n apps, im, notify, sites,\n sounds, stats, tasks, timer\n)", "start_line": 5, "start_column": 0, "end_line": 8, "end_column": 1 } ]

[]

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[ { "content": " def download(self, engine=None, debug=False):\n Script.download(self, engine, debug)\n\n self.engine.auto_create_table(Table(\"sites\"), url=self.urls[\"sites\"])\n self.engine.insert_data_from_url(self.urls[\"sites\"])\n\n self.engine.download_file(self.urls[\"stems\"], \"all_Excel.zip\")\n local_zip = zipfile.ZipFile(self.engine.format_filename(\"all_Excel.zip\"))\n filelist = local_zip.namelist()\n local_zip.close()\n self.engine.download_files_from_archive(self.urls[\"stems\"], filelist)\n\n filelist = [os.path.basename(filename) for filename in filelist]\n\n # Currently all_Excel.zip is missing CURUYUQU.xls\n # Download it separately and add it to the file list\n if not self.engine.find_file('CURUYUQU.xls'):\n self.engine.download_file(\"http://www.mobot.org/mobot/gentry/123/samerica/CURUYUQU.xls\", \"CURUYUQU.xls\", clean_line_endings=False)\n filelist.append('CURUYUQU.xls')\n\n lines = []\n tax = []\n for filename in filelist:\n print \"Extracting data from \" + filename + \"...\"\n book = xlrd.open_workbook(self.engine.format_filename(filename))\n sh = book.sheet_by_index(0)\n rows = sh.nrows\n cn = {'stems': []}\n n = 0\n for colnum, c in enumerate(sh.row(0)):\n if not Excel.empty_cell(c):\n cid = Excel.cell_value(c).lower()\n # line number column is sometimes named differently\n if cid in [\"sub\", \"number\"]:\n cid = \"line\"\n # the \"number of individuals\" column is named in various\n # different ways; they always at least contain \"nd\"\n if \"nd\" in cid:\n cid = \"count\"\n # in QUIAPACA.xls the \"number of individuals\" column is\n # misnamed \"STEMDBH\" just like the stems columns, so weep\n # for the state of scientific data and then fix manually\n if filename == \"QUIAPACA.xls\" and colnum == 13:\n cid = \"count\"\n\n # if column is a stem, add it to the list of stems;\n # otherwise, make note of the column name/number\n if \"stem\" in cid or \"dbh\" in cid:\n cn[\"stems\"].append(n)\n else:\n cn[cid] = n\n n += 1\n # sometimes, a data file does not contain a liana or count column\n if not \"liana\" in cn.keys():\n cn[\"liana\"] = -1\n if not \"count\" in cn.keys():\n cn[\"count\"] = -1\n for i in range(1, rows):\n row = sh.row(i)\n cellcount = len(row)\n # make sure the row is real, not just empty cells\n if not all(Excel.empty_cell(cell) for cell in row):\n try:\n this_line = {}\n\n def format_value(s):\n s = Excel.cell_value(s)\n return str(s).title().replace(\"\\\\\", \"/\").replace('\"', '')\n\n # get the following information from the appropriate columns\n for i in [\"line\", \"family\", \"genus\", \"species\",\n \"liana\", \"count\"]:\n if cn[i] > -1:\n this_line[i] = format_value(row[cn[i]])\n if this_line[i] == '`':\n this_line[i] = 1\n\n this_line[\"stems\"] = [Excel.cell_value(row[c])\n for c in cn[\"stems\"]\n if not Excel.empty_cell(row[c])]\n this_line[\"site\"] = filename[0:-4]\n\n lines.append(this_line)\n\n # Check how far the species is identified\n full_id = 0\n if len(this_line[\"species\"]) < 3:\n if len(this_line[\"genus\"]) < 3:\n id_level = \"family\"\n else:\n id_level = \"genus\"\n else:\n id_level = \"species\"\n full_id = 1\n tax.append((this_line[\"family\"],\n this_line[\"genus\"],\n this_line[\"species\"].lower().replace('\\\\', '').replace('\"', ''),\n id_level,\n str(full_id)))\n except:\n raise\n pass\n\n tax = sorted(tax, key=lambda group: group[0] + \" \" + group[1] + \" \" + group[2])\n unique_tax = []\n tax_dict = dict()\n tax_count = 0\n\n # Get all unique families/genera/species\n for group in tax:\n if not (group in unique_tax):\n unique_tax.append(group)\n tax_count += 1\n tax_dict[group[0:3]] = tax_count\n if tax_count % 10 == 0:\n msg = \"Generating taxonomic groups: \" + str(tax_count) + \" / \" + str(TAX_GROUPS)\n sys.stdout.write(msg + \"\\b\" * len(msg))\n print \"Generating taxonomic groups: \" + str(TAX_GROUPS) + \" / \" + str(TAX_GROUPS)\n\n\n # Create species table\n table = Table(\"species\", delimiter=\",\")\n table.columns=[(\"species_id\" , (\"pk-int\",) ),\n (\"family\" , (\"char\", ) ),\n (\"genus\" , (\"char\", ) ),\n (\"species\" , (\"char\", ) ),\n (\"id_level\" , (\"char\", 10) ),\n (\"full_id\" , (\"bool\",) )]\n\n data = [','.join([str(tax_dict[group[:3]])] + ['\"%s\"' % g for g in group])\n for group in unique_tax]\n table.pk = 'species_id'\n table.contains_pk = True\n\n self.engine.table = table\n self.engine.create_table()\n self.engine.add_to_table(data)\n\n\n # Create stems table\n table = Table(\"stems\", delimiter=\",\", contains_pk=False)\n table.columns=[(\"stem_id\" , (\"pk-auto\",) ),\n (\"line\" , (\"int\",) ),\n (\"species_id\" , (\"int\",) ),\n (\"site_code\" , (\"char\", 12) ),\n (\"liana\" , (\"char\", 10) ),\n (\"stem\" , (\"double\",) )]\n stems = []\n counts = []\n for line in lines:\n try:\n liana = line[\"liana\"]\n except KeyError:\n liana = \"\"\n species_info = [line[\"line\"],\n tax_dict[(line[\"family\"],\n line[\"genus\"],\n line[\"species\"].lower())],\n line[\"site\"],\n liana\n ]\n try:\n counts.append([str(value) for value in species_info + [line[\"count\"]]])\n except KeyError:\n pass\n\n for i in line[\"stems\"]:\n stem = species_info + [i]\n stems.append([str(value) for value in stem])\n\n data = [','.join(stem) for stem in stems]\n self.engine.table = table\n self.engine.create_table()\n self.engine.add_to_table(data)\n\n\n # Create counts table\n table = Table(\"counts\", delimiter=\",\", contains_pk=False)\n table.columns=[(\"count_id\" , (\"pk-auto\",) ),\n (\"line\" , (\"int\",) ),\n (\"species_id\" , (\"int\",) ),\n (\"site_code\" , (\"char\", 12) ),\n (\"liana\" , (\"char\", 10) ),\n (\"count\" , (\"double\",) )]\n data = [','.join(count) for count in counts]\n self.engine.table = table\n self.engine.create_table()\n self.engine.add_to_table(data)\n\n return self.engine", "metadata": "root.main.download", "header": "['class', 'main', '(', 'Script', ')', ':', '___EOS___']", "index": 38 } ]

[ { "span": "for i in [\"line\", \"family\", \"genus\", \"species\",\n \"liana\", \"count\"]:", "start_line": 108, "start_column": 24, "end_line": 109, "end_column": 52 } ]

[ { "span": "for i in range(1, rows):", "start_line": 95, "start_column": 12, "end_line": 95, "end_column": 36 } ]

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[ { "content": " def test_charfield_pks(self):\n a1 = CharFieldGFK.objects.create(name='a1', content_object=self.apple)\n a2 = CharFieldGFK.objects.create(name='a2', content_object=self.apple)\n o1 = CharFieldGFK.objects.create(name='o1', content_object=self.orange)\n\n annotated_qs = self.generic_annotate(Food.objects.all(), CharFieldGFK, models.Count('char_gfk__name'))\n self.assertEqual(annotated_qs.count(), 3)\n\n food_a, food_b, food_c = annotated_qs.order_by('-score')\n\n self.assertEqual(food_b.score, 1)\n self.assertEqual(food_b.name, 'orange')\n\n self.assertEqual(food_a.score, 2)\n self.assertEqual(food_a.name, 'apple')\n\n self.assertEqual(food_c.score, 0)\n self.assertEqual(food_c.name, 'peach')\n\n aggregated = self.generic_aggregate(Food.objects.all(), CharFieldGFK, models.Count('char_gfk__name'))\n self.assertEqual(aggregated, 3)", "metadata": "root.SimpleTest.test_charfield_pks", "header": "['class', 'SimpleTest', '(', 'TestCase', ')', ':', '___EOS___']", "index": 155 }, { "content": " def test_filter_cast(self):\n a1 = CharFieldGFK.objects.create(name='a1', content_object=self.apple)\n a2 = CharFieldGFK.objects.create(name='a2', content_object=self.apple)\n o1 = CharFieldGFK.objects.create(name='o1', content_object=self.orange)\n\n qs = self.generic_filter(CharFieldGFK.objects.all(), Food.objects.filter(name='apple'))\n self.assertEqual(len(qs), 2)\n\n for obj in qs:\n self.assertEqual(obj.content_object.name, 'apple')", "metadata": "root.SimpleTest.test_filter_cast", "header": "['class', 'SimpleTest', '(', 'TestCase', ')', ':', '___EOS___']", "index": 195 } ]

[ { "span": "a1 ", "start_line": 156, "start_column": 8, "end_line": 156, "end_column": 10 }, { "span": "a2 ", "start_line": 157, "start_column": 8, "end_line": 157, "end_column": 10 }, { "span": "o1 ", "start_line": 158, "start_column": 8, "end_line": 158, "end_column": 10 }, { "span": "a1 ", "start_line": 196, "start_column": 8, "end_line": 196, "end_column": 10 }, { "span": "a2 ", "start_line": 197, "start_column": 8, "end_line": 197, "end_column": 10 }, { "span": "o1 ", "start_line": 198, "start_column": 8, "end_line": 198, "end_column": 10 } ]

[]

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[ { "content": "\tdef test_receives_expected_services(self):\n\t\theaders = { 'Accept': 'application/json' }\n\t\tresponse = requests.get(self.url + '/env', headers=headers)\n\t\tresponse.raise_for_status()\n\t\tenv = response.json()\n\t\tvcap_services = json.loads(env.get('VCAP_SERVICES'))\n\t\tbroker1_service = vcap_services.get('service-broker1-service', None)\n\t\tself.assertTrue(broker1_service is not None)\n\t\tself.assertEquals(len(broker1_service), 1)\n\t\tself.assertEquals(broker1_service[0].get('plan'), 'second-plan')", "metadata": "root.VerifyApp3.test_receives_expected_services", "header": "['class', 'VerifyApp3', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 34 }, { "content": "\tdef test_does_not_receive_admin_credentials(self):\n\t\theaders = { 'Accept': 'application/json' }\n\t\tresponse = requests.get(self.url + '/env', headers=headers)\n\t\tresponse.raise_for_status()\n\t\tenv = response.json()\n\t\tuser = env.get('CF_ADMIN_USER')\n\t\tusername = env.get('CF_ADMIN_USERNAME')\n\t\tpassword = env.get('CF_ADMIN_PASSWORD')\n\t\tself.assertTrue(user is None)\n\t\tself.assertTrue(username is None)\n\t\tself.assertTrue(password is None)", "metadata": "root.VerifyApp3.test_does_not_receive_admin_credentials", "header": "['class', 'VerifyApp3', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 63 } ]

[ { "span": "self.assertTrue(broker1_service is not None)", "start_line": 41, "start_column": 2, "end_line": 41, "end_column": 46 }, { "span": "self.assertTrue(user is None)", "start_line": 71, "start_column": 2, "end_line": 71, "end_column": 31 }, { "span": "self.assertTrue(username is None)", "start_line": 72, "start_column": 2, "end_line": 72, "end_column": 35 }, { "span": "self.assertTrue(password is None)", "start_line": 73, "start_column": 2, "end_line": 73, "end_column": 35 } ]

[]

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[ { "content": " def test_apache_syncer(self):\n create_channel_db('project1', 'cf', 'coreforum',\n 'channel.syncer.common_syncers.ApacheMailSyncer', 'foo.parser',\n 'http://mail-archives.apache.org/mod_mbox/hc-httpclient-users/'\n )\n create_channel_local('project1', 'coreforum',\n 'channel.syncer.common_syncers.ApacheMailSyncer',\n 'http://mail-archives.apache.org/mod_mbox/hc-httpclient-users/'\n )\n pname = 'project1'\n cname = 'coreforum'\n toc_refresh(pname, cname)\n model = load_model(pname, STHREAD_PATH, cname)\n self.assertEqual(\n 'http://mail-archives.apache.org/mod_mbox/hc-httpclient-users/200410.mbox/date',\n model.toc_sections[0].url)\n self.assertFalse(model.toc_sections[0].downloaded)\n self.assertTrue(len(model.toc_sections) >= 79)\n for i in xrange(0, 79):\n self.assertEqual(i, model.toc_sections[i].index)\n\n toc_download_section(pname, cname, start=0, end=4)\n model = load_model(pname, STHREAD_PATH, cname)\n self.assertTrue(model.toc_sections[0].downloaded)\n self.assertTrue(model.toc_sections[1].downloaded)\n self.assertTrue(model.toc_sections[2].downloaded)\n self.assertTrue(model.toc_sections[3].downloaded)\n self.assertFalse(model.toc_sections[4].downloaded)\n self.assertEqual(316, len(model.entries))\n self.assertEqual(0, model.entries[0].index)\n self.assertFalse(model.entries[0].downloaded)\n self.assertEqual(1000, model.entries[17].index)\n self.assertEqual(1001, model.entries[18].index)\n self.assertTrue(model.entries[18].url.find('xbox.localdomain') > -1)\n\n toc_download_entries(pname, cname, 0, 1)\n model = load_model(pname, STHREAD_PATH, cname)\n self.assertTrue(model.entries[0].downloaded)\n self.assertFalse(model.entries[1].downloaded)\n path = os.path.join(settings.PROJECT_FS_ROOT,\n model.entries[0].local_paths[0])\n self.assertTrue(os.path.exists(path))", "metadata": "root.ChannelSetup.test_apache_syncer", "header": "['class', 'ChannelSetup', '(', 'TestCase', ')', ':', '___EOS___']", "index": 67 }, { "content": " def test_phpbb_syncer(self):\n create_channel_db('project1', 'cf', 'coreforum',\n 'channel.syncer.common_syncers.PHPBBForumSyncer', 'foo.parser',\n 'https://forum.hibernate.org/viewforum.php?f=1'\n )\n create_channel_local('project1', 'coreforum',\n 'channel.syncer.common_syncers.PHPBBForumSyncer',\n 'https://forum.hibernate.org/viewforum.php?f=1'\n )\n pname = 'project1'\n cname = 'coreforum'\n toc_refresh(pname, cname)\n model = load_model(pname, STHREAD_PATH, cname)\n self.assertEqual(\n 'https://forum.hibernate.org/viewforum.php?f=1&sd=a&start=0',\n model.toc_sections[0].url)\n self.assertFalse(model.toc_sections[0].downloaded)\n self.assertTrue(len(model.toc_sections) > 2349)\n for i in xrange(0, 2349):\n self.assertEqual(i, model.toc_sections[i].index)\n\n toc_download_section(pname, cname, start=0, end=4)\n model = load_model(pname, STHREAD_PATH, cname)\n self.assertTrue(model.toc_sections[0].downloaded)\n self.assertTrue(model.toc_sections[1].downloaded)\n self.assertTrue(model.toc_sections[2].downloaded)\n self.assertTrue(model.toc_sections[3].downloaded)\n self.assertFalse(model.toc_sections[4].downloaded)\n self.assertEqual(100, len(model.entries))\n self.assertEqual(0, model.entries[0].index)\n self.assertFalse(model.entries[0].downloaded)\n self.assertEqual(1000, model.entries[25].index)\n self.assertEqual(1001, model.entries[26].index)\n self.assertTrue(model.entries[26].url.find('t=59') > -1)\n\n toc_download_entries(pname, cname, 1024, 1025)\n model = load_model(pname, STHREAD_PATH, cname)\n self.assertTrue(model.entries[49].downloaded)\n self.assertFalse(model.entries[50].downloaded)\n path = os.path.join(settings.PROJECT_FS_ROOT,\n model.entries[49].local_paths[0])\n self.assertTrue(os.path.exists(path))\n path = os.path.join(settings.PROJECT_FS_ROOT,\n model.entries[49].local_paths[1])\n self.assertTrue(os.path.exists(path))", "metadata": "root.ChannelSetup.test_phpbb_syncer", "header": "['class', 'ChannelSetup', '(', 'TestCase', ')', ':', '___EOS___']", "index": 111 }, { "content": " def test_fudeclipse_syncer(self):\n create_channel_db('project1', 'cf', 'coreforum',\n 'channel.syncer.common_syncers.FUDEclipseForumSyncer',\n 'foo.parser',\n 'http://www.eclipse.org/forums/index.php/sf/thread/13/'\n )\n create_channel_local('project1', 'coreforum',\n 'channel.syncer.common_syncers.FUDEclipseForumSyncer',\n 'http://www.eclipse.org/forums/index.php/sf/thread/13/'\n )\n pname = 'project1'\n cname = 'coreforum'\n toc_refresh(pname, cname)\n model = load_model(pname, STHREAD_PATH, cname)\n self.assertEqual(\n 'http://www.eclipse.org/forums/index.php/sf/thread/13/1/0/',\n model.toc_sections[0].url)\n self.assertFalse(model.toc_sections[0].downloaded)\n\n self.assertTrue(len(model.toc_sections) >= 247)\n for i in xrange(0, 247):\n self.assertEqual(i, model.toc_sections[i].index)\n\n toc_download_section(pname, cname, start=0, end=4)\n model = load_model(pname, STHREAD_PATH, cname)\n self.assertTrue(model.toc_sections[0].downloaded)\n self.assertTrue(model.toc_sections[1].downloaded)\n self.assertTrue(model.toc_sections[2].downloaded)\n self.assertTrue(model.toc_sections[3].downloaded)\n self.assertFalse(model.toc_sections[4].downloaded)\n\n self.assertEqual(160, len(model.entries))\n self.assertEqual(0, model.entries[0].index)\n self.assertFalse(model.entries[0].downloaded)\n self.assertEqual(1000, model.entries[40].index)\n self.assertEqual(1001, model.entries[41].index)\n #self.assertTrue(model.entries[26].url.find('t=59') > -1)\n\n toc_download_entries(pname, cname, 1039, 1040)\n model = load_model(pname, STHREAD_PATH, cname)\n self.assertTrue(model.entries[79].downloaded)\n self.assertFalse(model.entries[80].downloaded)\n path = os.path.join(settings.PROJECT_FS_ROOT,\n model.entries[79].local_paths[0])\n self.assertTrue(os.path.exists(path))", "metadata": "root.ChannelSetup.test_fudeclipse_syncer", "header": "['class', 'ChannelSetup', '(', 'TestCase', ')', ':', '___EOS___']", "index": 158 }, { "content": " @transaction.autocommit\n def test_apache_parser(self):\n create_channel_db('project1', 'cf', 'coreforum',\n 'channel.syncer.common_syncers.ApacheMailSyncer', \n 'channel.parser.common_parsers.ApacheMailParser',\n 'http://mail-archives.apache.org/mod_mbox/hc-httpclient-users/'\n )\n create_channel_local('project1', 'coreforum',\n 'channel.syncer.common_syncers.ApacheMailSyncer',\n 'http://mail-archives.apache.org/mod_mbox/hc-httpclient-users/'\n )\n pname = 'project1'\n cname = 'coreforum'\n toc_refresh(pname, cname)\n toc_download_section(pname, cname, start=0, end=1)\n toc_download_entries(pname, cname, 9, 99)\n parse_channel(pname, cname, True)\n self.assertEqual(8, Message.objects.all().count())\n messages = list(Message.objects.all())\n for message in messages:\n print('{0} by {1} on {2} (wc: {3})'.format(\n message.title, message.author, message.msg_date,\n message.word_count))\n print(' {0} snippets and {1} references'.format(\n message.code_snippets.count(),\n message.code_references.count()))\n print(' Snippets:')\n for code_snippet in message.code_snippets.all():\n print(' {0}'.format(code_snippet.language))\n\n for ref in message.code_references.all():\n print(' {0}: {1}'.format(ref.kind_hint.kind, ref.content))\n\n \n # Test Snippets\n third_to_last = messages[-3]\n self.assertEqual('l', third_to_last.code_snippets.all()[0].language)\n self.assertEqual('jx', third_to_last.code_snippets.all()[1].language)\n\n # Test Refs\n fourth_to_last = messages[-4]\n refs = [ref.content.strip() for ref in\n fourth_to_last.code_references.all()]\n self.assertEqual(4, len(refs))\n self.assertTrue('EasySSLProtocolSocketFactory' in refs)\n self.assertTrue('SSL' in refs)\n\n # Test Post-Processing!\n channel = post_process_channel(pname, cname)\n self.assertEqual(4, channel.threads.count())\n\n second_thread = channel.threads.all()[1]\n self.assertEqual(3, second_thread.messages.count())\n\n indexes = [msg.index for msg in second_thread.messages.all()]\n self.assertEqual([0, 1, 2], indexes)\n self.assertFalse(second_thread.messages.all()[0].title.lower()\n .startswith('re'))\n self.assertTrue(second_thread.messages.all()[1].title.lower()\n .startswith('re'))", "metadata": "root.ChannelParserTest.test_apache_parser", "header": "['class', 'ChannelParserTest', '(', 'TransactionTestCase', ')', ':', '___EOS___']", "index": 223 }, { "content": " @transaction.autocommit\n def test_phpbb_parser(self):\n create_channel_db('project1', 'cf', 'coreforum',\n 'channel.syncer.common_syncers.PHPBBForumSyncer',\n 'channel.parser.common_parsers.PHPBBForumParser',\n 'https://forum.hibernate.org/viewforum.php?f=1'\n )\n create_channel_local('project1', 'coreforum',\n 'channel.syncer.common_syncers.PHPBBForumSyncer',\n 'https://forum.hibernate.org/viewforum.php?f=1'\n )\n pname = 'project1'\n cname = 'coreforum'\n toc_refresh(pname, cname)\n toc_download_section(pname, cname, start=0, end=2)\n toc_download_entries(pname, cname, 1023, 1025)\n parse_channel(pname, cname, True)\n self.assertEqual(23, Message.objects.all().count())\n messages = list(Message.objects.all())\n for message in messages:\n print(message.url)\n print('{0} by {1} on {2} (wc: {3})'.format(\n message.title, message.author, message.msg_date,\n message.word_count))\n print(' {0} snippets and {1} references'.format(\n message.code_snippets.count(),\n message.code_references.count()))\n print(' Snippets:')\n for code_snippet in message.code_snippets.all():\n print(' {0}'.format(code_snippet.language))\n\n for ref in message.code_references.all():\n print(' {0}: {1}'.format(ref.kind_hint.kind, ref.content))\n \n # Test Snippets\n first_message = messages[0]\n self.assertEqual('x', first_message.code_snippets.all()[0].language)\n\n # Test Author\n self.assertEqual(first_message.author.nickname, 'mhellkamp')\n\n # Test Date\n self.assertEqual(first_message.msg_date, datetime(2003, 8, 29, 10, 16))\n\n # Test Refs\n second_message = messages[1]\n refs = [ref.content.strip() for ref in\n second_message.code_references.all()]\n # Title is not counted.\n self.assertEqual(4, len(refs))\n self.assertTrue('DBCP' in refs)\n self.assertTrue('C3P0' in refs)", "metadata": "root.ChannelParserTest.test_phpbb_parser", "header": "['class', 'ChannelParserTest', '(', 'TransactionTestCase', ')', ':', '___EOS___']", "index": 284 }, { "content": " @transaction.autocommit\n def test_fudeclipse_parser(self):\n create_channel_db('project1', 'cf', 'coreforum',\n 'channel.syncer.common_syncers.FUDEclipseForumSyncer',\n 'channel.parser.common_parsers.FUDEclipseForumParser',\n 'http://www.eclipse.org/forums/index.php/sf/thread/59/'\n )\n create_channel_local('project1', 'coreforum',\n 'channel.syncer.common_syncers.FUDEclipseForumSyncer',\n 'http://www.eclipse.org/forums/index.php/sf/thread/59/'\n )\n pname = 'project1'\n cname = 'coreforum'\n toc_refresh(pname, cname)\n toc_download_section(pname, cname, start=0, end=2)\n toc_download_entries(pname, cname, 0, 6)\n parse_channel(pname, cname, True)\n self.assertEqual(18, Message.objects.all().count())\n messages = list(Message.objects.all())\n for message in messages:\n print('{0} by {1} on {2} (wc: {3})'.format(\n message.title, message.author, message.msg_date,\n message.word_count))\n print(' {0} snippets and {1} references'.format(\n message.code_snippets.count(),\n message.code_references.count()))\n print(' Snippets:')\n for code_snippet in message.code_snippets.all():\n print(' {0}'.format(code_snippet.language))\n\n for ref in message.code_references.all():\n print(' {0}: {1}'.format(ref.kind_hint.kind, ref.content))\n \n first_message = messages[0]\n\n # Test Title\n self.assertEqual(first_message.title, \n 'looping back to a previous step')\n\n # Test Author\n self.assertEqual(first_message.author.nickname, 'No real name')\n\n # Test Date\n self.assertEqual(first_message.msg_date, datetime(2010, 8, 26, 7, 50))\n\n # Test Refs\n refs = [ref.content.strip() for ref in\n first_message.code_references.all()]\n self.assertEqual(3, len(refs))\n self.assertTrue('ActivityElements' in refs)", "metadata": "root.ChannelParserTest.test_fudeclipse_parser", "header": "['class', 'ChannelParserTest', '(', 'TransactionTestCase', ')', ':', '___EOS___']", "index": 337 } ]

[ { "span": "self.assertTrue(len(model.toc_sections) >= 79)", "start_line": 84, "start_column": 8, "end_line": 84, "end_column": 54 }, { "span": "self.assertTrue(model.entries[18].url.find('xbox.localdomain') > -1)", "start_line": 100, "start_column": 8, "end_line": 100, "end_column": 76 }, { "span": "self.assertTrue(len(model.toc_sections) > 2349)", "start_line": 128, "start_column": 8, "end_line": 128, "end_column": 55 }, { "span": "self.assertTrue(model.entries[26].url.find('t=59') > -1)", "start_line": 144, "start_column": 8, "end_line": 144, "end_column": 64 }, { "span": "self.assertTrue(len(model.toc_sections) >= 247)", "start_line": 177, "start_column": 8, "end_line": 177, "end_column": 55 }, { "span": "self.assertTrue('EasySSLProtocolSocketFactory' in refs)", "start_line": 267, "start_column": 8, "end_line": 267, "end_column": 63 }, { "span": "self.assertTrue('SSL' in refs)", "start_line": 268, "start_column": 8, "end_line": 268, "end_column": 38 }, { "span": "self.assertTrue('DBCP' in refs)", "start_line": 334, "start_column": 8, "end_line": 334, "end_column": 39 }, { "span": "self.assertTrue('C3P0' in refs)", "start_line": 335, "start_column": 8, "end_line": 335, "end_column": 39 }, { "span": "self.assertTrue('ActivityElements' in refs)", "start_line": 386, "start_column": 8, "end_line": 386, "end_column": 51 } ]

[]

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