text stringlengths 0 1.05M | meta dict |
|---|---|
from feds.settings import FEDS_BOOLEAN_SETTING, \
FEDS_INTEGER_SETTING, FEDS_CHOICE_SETTING, FEDS_CURRENCY_SETTING, \
FEDS_FLOAT_SETTING, FEDS_DATE_SETTING
from helpers.model_helpers import json_string_to_dict
from projects.internal_representation_classes import \
FedsBooleanSetting, FedsIntegerSetting, Fed... | {
"repo_name": "kieranmathieson/feds",
"path": "projects/settings_gatherer.py",
"copies": "1",
"size": "7890",
"license": "apache-2.0",
"hash": 5442061968327384000,
"line_mean": 41.8804347826,
"line_max": 78,
"alpha_frac": 0.5604562738,
"autogenerated": false,
"ratio": 4.600583090379009,
"config... |
from feebb import *
import matplotlib.pyplot as plt
import itertools
# Beam 1
pre = Preprocessor()
pre.load_json('ex_json/test2.json')
elems = [Element(elem) for elem in pre.elements]
print(pre.supports)
beam = Beam(elems, pre.supports)
post = Postprocessor(beam, 10)
print(max(post.interp('moment')))
print(min(post.in... | {
"repo_name": "rbn920/feebb",
"path": "feebb/test_sub.py",
"copies": "1",
"size": "2282",
"license": "mit",
"hash": 2367310720576858000,
"line_mean": 28.6363636364,
"line_max": 63,
"alpha_frac": 0.7296231376,
"autogenerated": false,
"ratio": 2.8668341708542715,
"config_test": false,
"has_no_k... |
from FeedCiscoSecureMalwareAnalytics import Client, fetch_indicators, fetch_indicators_command
from CommonServerPython import *
from test_data.feed_data import banking_dns_response, sinkholed_ip_dns_response
def test_fetch_indicators(requests_mock):
"""Unit test
Given
- fetch incidents command
- feed ... | {
"repo_name": "demisto/content",
"path": "Packs/ThreatGrid/Integrations/FeedCiscoSecureMalwareAnalytics/FeedCiscoSecureMalwareAnalytics_test.py",
"copies": "1",
"size": "2543",
"license": "mit",
"hash": -5289196904755320000,
"line_mean": 38.734375,
"line_max": 109,
"alpha_frac": 0.6626032245,
"auto... |
from FeedEater.translate import InsufficientDataForRecord
class FeedEaterMeta(type):
continue_on_errors = (InsufficientDataForRecord,)
save_args = []
save_kwargs = {}
def __new__(cls, name, bases, attrs):
if name != 'FeedEater' and 'translator_class' not in attrs:
raise TypeErro... | {
"repo_name": "Suitey/FeedEater",
"path": "__init__.py",
"copies": "2",
"size": "2296",
"license": "apache-2.0",
"hash": 4923967363874172000,
"line_mean": 31.338028169,
"line_max": 78,
"alpha_frac": 0.5975609756,
"autogenerated": false,
"ratio": 4.182149362477231,
"config_test": false,
"has_n... |
from feeders import DummyDataFeeder, DomDataFeeder
from agixml import Attribute, present_attribute
import config
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import Select
from selenium.webdriver.support.ui import WebDriverWait
from selenium.common.exceptions import TimeoutException
... | {
"repo_name": "Adnn/agilister",
"path": "agilister/fillers.py",
"copies": "1",
"size": "9155",
"license": "mit",
"hash": 2103265764998796500,
"line_mean": 40.803652968,
"line_max": 214,
"alpha_frac": 0.6467504096,
"autogenerated": false,
"ratio": 4.1784573254221815,
"config_test": false,
"has... |
from feedgen.feed import FeedGenerator
import datetime as dt
import pytz
from premailer import transform
import markdown
from functools import lru_cache
from bs4 import BeautifulSoup
URL = "https://reformedconfessions.com/westminster-daily"
FILENAME = "feed.rss"
NUMBER_OF_DAYS = 30
@lru_cache()
def markdown_parser(m... | {
"repo_name": "olneyhymn/westminster-daily",
"path": "generate_feed.py",
"copies": "2",
"size": "2109",
"license": "bsd-3-clause",
"hash": -4278271200807481000,
"line_mean": 27.5,
"line_max": 84,
"alpha_frac": 0.6173541963,
"autogenerated": false,
"ratio": 3.2748447204968945,
"config_test": fal... |
from feed_grabber import FeedGrabber
import logging
import urllib2
import json
import time
logger = logging.getLogger(__name__)
class BlockChainGrabber(FeedGrabber):
def __init__(self, *args, **kwds):
super(BlockChainGrabber, self).__init__(*args, **kwds)
def get_latest_transactions(self, number_of... | {
"repo_name": "sixify/sixify",
"path": "fetch/blockchain/blockchain.py",
"copies": "1",
"size": "1342",
"license": "mit",
"hash": -3406557967322655000,
"line_mean": 31.7317073171,
"line_max": 93,
"alpha_frac": 0.5536512668,
"autogenerated": false,
"ratio": 3.7381615598885793,
"config_test": fal... |
from FeediDefense import custom_build_iterator
import requests_mock
import pytest
from JSONFeedApiModule import Client
PARAMS = {'api_token': 'test_api_key', 'insecure': True,
'indicator_type': ['IP', 'Domain'],
'feed_name_to_config': {
'IP': {'extractor': 'results', 'indicator': 'di... | {
"repo_name": "demisto/content",
"path": "Packs/iDefense/Integrations/FeediDefense/FeediDefense_test.py",
"copies": "1",
"size": "3666",
"license": "mit",
"hash": 1504635930562653000,
"line_mean": 42.6428571429,
"line_max": 116,
"alpha_frac": 0.5671031097,
"autogenerated": false,
"ratio": 3.70303... |
from feed import *
import tts
from mpd import MPDClient
import time
KEY_0 = 0
KEY_1 = 1
KEY_2 = 2
KEY_3 = 3
KEY_4 = 4
KEY_5 = 5
KEY_6 = 6
KEY_7 = 7
KEY_8 = 8
KEY_9 = 9
KEY_DOT = 10
KEY_ENTER = 11
KEY_PLUS = 12
KEY_MINUS = 13
KEY_MULT = 14
KEY_DIV = 15
KEY_NUMLOCK = 16
CMD_UPDATE = 0
CMD_READTITLE = 1
CMD_DOWNLOAD = 2... | {
"repo_name": "iemxblog/blindpod",
"path": "fsm.py",
"copies": "1",
"size": "2108",
"license": "mit",
"hash": 1548860218258328800,
"line_mean": 22.3111111111,
"line_max": 101,
"alpha_frac": 0.5285986654,
"autogenerated": false,
"ratio": 3.2476780185758516,
"config_test": false,
"has_no_keywor... |
from feedly.activity import Activity, AggregatedActivity
from feedly.aggregators.base import RecentVerbAggregator
from feedly.feeds.base import BaseFeed
from feedly.serializers.aggregated_activity_serializer import \
AggregatedActivitySerializer
import copy
import logging
import random
import itertools
from feedly.... | {
"repo_name": "Architizer/Feedly",
"path": "feedly/feeds/aggregated_feed/base.py",
"copies": "1",
"size": "10449",
"license": "bsd-3-clause",
"hash": 5590169611667381000,
"line_mean": 38.5795454545,
"line_max": 93,
"alpha_frac": 0.6392956264,
"autogenerated": false,
"ratio": 4.4961273666092945,
... |
from feedly.activity import Activity
from feedly.serializers.base import BaseSerializer
from feedly.utils import epoch_to_datetime, datetime_to_epoch
from feedly.verbs import get_verb_by_id
import pickle
class ActivitySerializer(BaseSerializer):
'''
Serializer optimized for taking as little memory as possibl... | {
"repo_name": "Architizer/Feedly",
"path": "feedly/serializers/activity_serializer.py",
"copies": "1",
"size": "1747",
"license": "bsd-3-clause",
"hash": 2585402400576442400,
"line_mean": 31.9622641509,
"line_max": 80,
"alpha_frac": 0.6313680595,
"autogenerated": false,
"ratio": 4.072261072261072... |
from feedly.activity import Activity
from feedly.verbs import get_verb_by_id
import pickle
from feedly.serializers.base import BaseSerializer
class CassandraActivitySerializer(BaseSerializer):
def __init__(self, model, *args, **kwargs):
BaseSerializer.__init__(self, *args, **kwargs)
self.model = ... | {
"repo_name": "SergioChan/Stream-Framework",
"path": "feedly/serializers/cassandra/activity_serializer.py",
"copies": "4",
"size": "1324",
"license": "bsd-3-clause",
"hash": 761455861208470400,
"line_mean": 36.8285714286,
"line_max": 83,
"alpha_frac": 0.6351963746,
"autogenerated": false,
"ratio"... |
from feedly.activity import AggregatedActivity, Activity
from copy import deepcopy
from feedly.exceptions import DuplicateActivityException
class BaseAggregator(object):
'''
Aggregators implement the combining of multiple activities into aggregated activities.
The two most important methods are
aggr... | {
"repo_name": "izhan/Stream-Framework",
"path": "feedly/aggregators/base.py",
"copies": "4",
"size": "5217",
"license": "bsd-3-clause",
"hash": 6293706198623016000,
"line_mean": 34.25,
"line_max": 110,
"alpha_frac": 0.6269886908,
"autogenerated": false,
"ratio": 5.011527377521614,
"config_test"... |
from feedly.activity import AggregatedActivity, Activity
from feedly.exceptions import SerializationException
from feedly.serializers.activity_serializer import ActivitySerializer
from feedly.serializers.utils import check_reserved
from feedly.utils import epoch_to_datetime, datetime_to_epoch
from feedly.serializers.ba... | {
"repo_name": "nikolay-saskovets/Feedly",
"path": "feedly/serializers/aggregated_activity_serializer.py",
"copies": "4",
"size": "4166",
"license": "bsd-3-clause",
"hash": -9113383713177806000,
"line_mean": 37.5740740741,
"line_max": 79,
"alpha_frac": 0.6387421988,
"autogenerated": false,
"ratio"... |
from feedly.activity import AggregatedActivity
from copy import deepcopy
from feedly.exceptions import DuplicateActivityException
class BaseAggregator(object):
'''
Aggregators implement the combining of multiple activities into aggregated activities.
The two most important methods are
aggregate and ... | {
"repo_name": "Architizer/Feedly",
"path": "feedly/aggregators/base.py",
"copies": "1",
"size": "4520",
"license": "bsd-3-clause",
"hash": -1290726957476793600,
"line_mean": 32.4814814815,
"line_max": 110,
"alpha_frac": 0.6172566372,
"autogenerated": false,
"ratio": 5.050279329608938,
"config_t... |
from feedly.activity import AggregatedActivity
from feedly.aggregators.base import RecentVerbAggregator
from feedly.feeds.base import BaseFeed
from feedly.serializers.aggregated_activity_serializer import \
AggregatedActivitySerializer
import copy
import logging
import random
import itertools
from feedly.utils.timi... | {
"repo_name": "Anislav/Stream-Framework",
"path": "feedly/feeds/aggregated_feed/base.py",
"copies": "4",
"size": "10857",
"license": "bsd-3-clause",
"hash": -3084279065264768500,
"line_mean": 37.9139784946,
"line_max": 89,
"alpha_frac": 0.6438242608,
"autogenerated": false,
"ratio": 4.41341463414... |
from feedly.activity import AggregatedActivity
from feedly.exceptions import SerializationException
from feedly.serializers.activity_serializer import ActivitySerializer
from feedly.serializers.utils import check_reserved
from feedly.utils import epoch_to_datetime, datetime_to_epoch
from feedly.serializers.base import ... | {
"repo_name": "Architizer/Feedly",
"path": "feedly/serializers/aggregated_activity_serializer.py",
"copies": "1",
"size": "4186",
"license": "bsd-3-clause",
"hash": -8559327928329981000,
"line_mean": 37.4036697248,
"line_max": 79,
"alpha_frac": 0.6390348782,
"autogenerated": false,
"ratio": 4.579... |
from feedly.activity import AggregatedActivity
from feedly.serializers.aggregated_activity_serializer import AggregatedActivitySerializer
import pickle
class CassandraAggregatedActivitySerializer(AggregatedActivitySerializer):
def __init__(self, model, *args, **kwargs):
AggregatedActivitySerializer.__ini... | {
"repo_name": "SergioChan/Stream-Framework",
"path": "feedly/serializers/cassandra/aggregated_activity_serializer.py",
"copies": "4",
"size": "1161",
"license": "bsd-3-clause",
"hash": 348110044271468100,
"line_mean": 36.4516129032,
"line_max": 90,
"alpha_frac": 0.6838931955,
"autogenerated": false... |
from feedly.aggregators.base import RecentVerbAggregator
from feedly.feeds.memory import Feed
from feedly.tests.feeds.base import TestBaseFeed, implementation
from feedly.tests.utils import FakeActivity
from feedly.verbs.base import Love as LoveVerb, Add as AddVerb
import datetime
import unittest
class AggregatorTest... | {
"repo_name": "Architizer/Feedly",
"path": "feedly/tests/aggregators/__init__.py",
"copies": "1",
"size": "2475",
"license": "bsd-3-clause",
"hash": -7369998156516939000,
"line_mean": 34.8695652174,
"line_max": 77,
"alpha_frac": 0.6238383838,
"autogenerated": false,
"ratio": 4.057377049180328,
... |
from feedly.aggregators.base import RecentVerbAggregator
from feedly.serializers.activity_serializer import ActivitySerializer
from feedly.serializers.aggregated_activity_serializer import \
AggregatedActivitySerializer, NotificationSerializer
from feedly.serializers.base import BaseSerializer
from feedly.serialize... | {
"repo_name": "Architizer/Feedly",
"path": "feedly/tests/serializers.py",
"copies": "1",
"size": "3630",
"license": "bsd-3-clause",
"hash": -6842145717267092000,
"line_mean": 40.25,
"line_max": 88,
"alpha_frac": 0.7625344353,
"autogenerated": false,
"ratio": 4.560301507537688,
"config_test": tr... |
from feedly.aggregators.base import RecentVerbAggregator
from feedly.tests.utils import FakeActivity
from feedly.verbs.base import Love as LoveVerb, Add as AddVerb
import datetime
import unittest
class AggregatorTest(unittest.TestCase):
aggregator_class = None
def setUp(self):
id_seq = range(42, 999)... | {
"repo_name": "SergioChan/Stream-Framework",
"path": "feedly/tests/aggregators/__init__.py",
"copies": "4",
"size": "2373",
"license": "bsd-3-clause",
"hash": -6285647858531294000,
"line_mean": 34.4179104478,
"line_max": 77,
"alpha_frac": 0.613990729,
"autogenerated": false,
"ratio": 4.0633561643... |
from feedly.feeds.aggregated_feed.base import AggregatedFeed
from feedly.serializers.aggregated_activity_serializer import \
NotificationSerializer
from feedly.storage.redis.timeline_storage import RedisTimelineStorage
import copy
import datetime
import json
import logging
logger = logging.getLogger(__name__)
cl... | {
"repo_name": "Anislav/Stream-Framework",
"path": "feedly/feeds/aggregated_feed/notification_feed.py",
"copies": "4",
"size": "5640",
"license": "bsd-3-clause",
"hash": 6337283822777503000,
"line_mean": 34.25,
"line_max": 87,
"alpha_frac": 0.6242907801,
"autogenerated": false,
"ratio": 4.42006269... |
from feedly.feeds.aggregated_feed.redis import RedisAggregatedFeed
from feedly.tests.feeds.aggregated_feed.base import TestAggregatedFeed,\
implementation
from feedly.activity import AggregatedActivity
from feedly.tests.feeds.redis import CustomActivity
class CustomAggregated(AggregatedActivity):
pass
class... | {
"repo_name": "SergioChan/Stream-Framework",
"path": "feedly/tests/feeds/aggregated_feed/redis.py",
"copies": "4",
"size": "1166",
"license": "bsd-3-clause",
"hash": -3979576383595220000,
"line_mean": 31.3888888889,
"line_max": 72,
"alpha_frac": 0.7487135506,
"autogenerated": false,
"ratio": 4.07... |
from feedly.feeds.base import UserBaseFeed
from feedly.tasks import follow_many, unfollow_many
from feedly.tasks import fanout_operation
from feedly.tasks import fanout_operation_hi_priority
from feedly.tasks import fanout_operation_low_priority
from feedly.utils import chunks
from feedly.utils import get_metrics_insta... | {
"repo_name": "SergioChan/Stream-Framework",
"path": "feedly/feed_managers/base.py",
"copies": "4",
"size": "15558",
"license": "bsd-3-clause",
"hash": 5758611898001339000,
"line_mean": 37.4148148148,
"line_max": 116,
"alpha_frac": 0.6127394267,
"autogenerated": false,
"ratio": 4.296603148301574,... |
from feedly import exceptions as feedly_exceptions
from feedly.utils import make_list_unique, datetime_to_epoch
import datetime
import uuid
MAX_AGGREGATED_ACTIVITIES_LENGTH = 15
class BaseActivity(object):
'''
Common parent class for Activity and Aggregated Activity
Check for this if you want to see if... | {
"repo_name": "Anislav/Stream-Framework",
"path": "feedly/activity.py",
"copies": "4",
"size": "13069",
"license": "bsd-3-clause",
"hash": 2859658803780356000,
"line_mean": 31.5099502488,
"line_max": 101,
"alpha_frac": 0.6046369271,
"autogenerated": false,
"ratio": 4.37822445561139,
"config_tes... |
from feedly import exceptions as feedly_exceptions
from feedly.utils import make_list_unique, datetime_to_epoch
import datetime
MAX_AGGREGATED_ACTIVITIES_LENGTH = 15
class BaseActivity(object):
'''
Common parent class for Activity and Aggregated Activity
Check for this if you want to see if something i... | {
"repo_name": "Architizer/Feedly",
"path": "feedly/activity.py",
"copies": "1",
"size": "12812",
"license": "bsd-3-clause",
"hash": -1020874223858567600,
"line_mean": 31.1909547739,
"line_max": 109,
"alpha_frac": 0.6052919138,
"autogenerated": false,
"ratio": 4.3771779979501195,
"config_test": ... |
from feedly import settings
from feedly.feeds.base import BaseFeed
from feedly.storage.cassandra.activity_storage import CassandraActivityStorage
from feedly.storage.cassandra.timeline_storage import CassandraTimelineStorage
from feedly.serializers.cassandra.activity_serializer import CassandraActivitySerializer
clas... | {
"repo_name": "Anislav/Stream-Framework",
"path": "feedly/feeds/cassandra.py",
"copies": "4",
"size": "1265",
"license": "bsd-3-clause",
"hash": 1246874862829470500,
"line_mean": 31.4358974359,
"line_max": 88,
"alpha_frac": 0.7462450593,
"autogenerated": false,
"ratio": 4.650735294117647,
"conf... |
from feedly.serializers.dummy import DummySerializer
from feedly.serializers.simple_timeline_serializer import \
SimpleTimelineSerializer
from feedly.utils import get_metrics_instance
from feedly.activity import AggregatedActivity, Activity
import uuid
class BaseStorage(object):
'''
The feed uses two sto... | {
"repo_name": "nikolay-saskovets/Feedly",
"path": "feedly/storage/base.py",
"copies": "4",
"size": "11588",
"license": "bsd-3-clause",
"hash": 5437287549444508000,
"line_mean": 33.0823529412,
"line_max": 95,
"alpha_frac": 0.6411805316,
"autogenerated": false,
"ratio": 4.6130573248407645,
"confi... |
from feedly.serializers.dummy import DummySerializer
from feedly.serializers.simple_timeline_serializer import \
SimpleTimelineSerializer
class BaseStorage(object):
'''
The feed uses two storage classes, the
- Activity Storage and the
- Timeline Storage
The process works as follows::
... | {
"repo_name": "Architizer/Feedly",
"path": "feedly/storage/base.py",
"copies": "1",
"size": "9706",
"license": "bsd-3-clause",
"hash": 5655154844601628000,
"line_mean": 31.2458471761,
"line_max": 84,
"alpha_frac": 0.6385740779,
"autogenerated": false,
"ratio": 4.661863592699327,
"config_test": ... |
from feedly.storage.base import BaseActivityStorage, BaseTimelineStorage
from feedly.tests.utils import FakeActivity
from feedly.tests.utils import Pin
from feedly.verbs.base import Love as PinVerb
from mock import patch
import datetime
import unittest
from feedly.activity import Activity
def implementation(meth):
... | {
"repo_name": "SergioChan/Stream-Framework",
"path": "feedly/tests/storage/base.py",
"copies": "4",
"size": "10904",
"license": "bsd-3-clause",
"hash": 6814605419176145000,
"line_mean": 37.6666666667,
"line_max": 118,
"alpha_frac": 0.6336206897,
"autogenerated": false,
"ratio": 3.6468227424749164... |
from feedly.storage.base import BaseActivityStorage
from feedly.storage.redis.structures.hash import ShardedHashCache
from feedly.serializers.activity_serializer import ActivitySerializer
class ActivityCache(ShardedHashCache):
key_format = 'activity:cache:%s'
class RedisActivityStorage(BaseActivityStorage):
... | {
"repo_name": "Anislav/Stream-Framework",
"path": "feedly/storage/redis/activity_storage.py",
"copies": "5",
"size": "1417",
"license": "bsd-3-clause",
"hash": -4692663835597016000,
"line_mean": 31.2045454545,
"line_max": 78,
"alpha_frac": 0.6640790402,
"autogenerated": false,
"ratio": 3.96918767... |
from feedly.storage.base import BaseTimelineStorage
from feedly.storage.redis.structures.sorted_set import RedisSortedSetCache
from feedly.storage.redis.connection import get_redis_connection
class TimelineCache(RedisSortedSetCache):
sort_asc = False
class RedisTimelineStorage(BaseTimelineStorage):
def get... | {
"repo_name": "Architizer/Feedly",
"path": "feedly/storage/redis/timeline_storage.py",
"copies": "1",
"size": "2118",
"license": "bsd-3-clause",
"hash": 1799798445918588000,
"line_mean": 32.619047619,
"line_max": 76,
"alpha_frac": 0.642115203,
"autogenerated": false,
"ratio": 3.8439201451905625,
... |
from feedly.storage.redis.connection import get_redis_connection
from redis.client import BasePipeline
class RedisCache(object):
'''
The base for all redis data structures
'''
key_format = 'redis:cache:%s'
def __init__(self, key, redis=None):
# write the key
self.key = key
... | {
"repo_name": "nikolay-saskovets/Feedly",
"path": "feedly/storage/redis/structures/base.py",
"copies": "5",
"size": "1556",
"license": "bsd-3-clause",
"hash": 4877509209380337000,
"line_mean": 27.2909090909,
"line_max": 73,
"alpha_frac": 0.5906169666,
"autogenerated": false,
"ratio": 4.3463687150... |
from feedly.storage.redis.structures.base import RedisCache
import logging
logger = logging.getLogger(__name__)
class BaseRedisHashCache(RedisCache):
key_format = 'redis:base_hash_cache:%s'
pass
class RedisHashCache(BaseRedisHashCache):
key_format = 'redis:hash_cache:%s'
def get_key(self, *args, **... | {
"repo_name": "SergioChan/Stream-Framework",
"path": "feedly/storage/redis/structures/hash.py",
"copies": "5",
"size": "7429",
"license": "bsd-3-clause",
"hash": 4878797681087231000,
"line_mean": 29.1991869919,
"line_max": 81,
"alpha_frac": 0.5644097456,
"autogenerated": false,
"ratio": 4.2210227... |
from feedly.storage.redis.structures.base import RedisCache
import logging
logger = logging.getLogger(__name__)
class BaseRedisListCache(RedisCache):
'''
Generic list functionality used for both the sorted set and list implementations
Retrieve the sorted list/sorted set by using python slicing
'''
... | {
"repo_name": "Architizer/Feedly",
"path": "feedly/storage/redis/structures/list.py",
"copies": "5",
"size": "6852",
"license": "bsd-3-clause",
"hash": -208733098967820740,
"line_mean": 32.5882352941,
"line_max": 123,
"alpha_frac": 0.5690309399,
"autogenerated": false,
"ratio": 4.364331210191083,... |
from feedly.utils.functional import lazy
from feedly.storage.redis.structures.hash import BaseRedisHashCache
from feedly.storage.redis.structures.list import BaseRedisListCache
import logging
from feedly.utils import epoch_to_datetime, chunks
logger = logging.getLogger(__name__)
class RedisSortedSetCache(BaseRedisLis... | {
"repo_name": "SergioChan/Stream-Framework",
"path": "feedly/storage/redis/structures/sorted_set.py",
"copies": "4",
"size": "5867",
"license": "bsd-3-clause",
"hash": -6705358199381303000,
"line_mean": 32.1468926554,
"line_max": 112,
"alpha_frac": 0.5694562809,
"autogenerated": false,
"ratio": 4... |
from FeedMicrosoftIntune import Client
URL = 'https://docs.microsoft.com/en-us/intune/fundamentals/intune-endpoints'
def test_build_iterator(requests_mock):
with open('test_data/Microsoft_endpoint_mock.html', 'r') as file:
response = file.read()
requests_mock.get(URL, text=response)
expected_doma... | {
"repo_name": "demisto/content",
"path": "Packs/FeedMicrosoftIntune/Integrations/FeedMicrosoftIntune/FeedMicrosoftIntune_test.py",
"copies": "1",
"size": "1222",
"license": "mit",
"hash": -173177565105656700,
"line_mean": 44.2592592593,
"line_max": 114,
"alpha_frac": 0.6996726678,
"autogenerated": ... |
from feed.models import Post, Author, Comment, Friend, ForeignHost
from django.shortcuts import render
from django.contrib.auth.decorators import login_required
from django.contrib.auth.models import User
import urllib2, base64
import requests
import json
@login_required
# Create your views here.
def friends(request... | {
"repo_name": "CMPUT404W16T01/CMPUT404-project-socialdistribution",
"path": "friends/views.py",
"copies": "1",
"size": "3415",
"license": "apache-2.0",
"hash": 3295314040714795500,
"line_mean": 30.6203703704,
"line_max": 120,
"alpha_frac": 0.6916544656,
"autogenerated": false,
"ratio": 3.17379182... |
from feedparser import parse
from PyQt4 import QtGui, QtCore, QtWebKit, uic
import sys, os, urllib.request, urllib.parse, urllib.error
from models import *
from pprint import pprint
from math import ceil
from pluginmgr import BookStore
from templite import Templite
import codecs
import urllib.parse
import time
# This ... | {
"repo_name": "webmedic/booker",
"path": "src/plugins/feedbooks/__init__.py",
"copies": "1",
"size": "7398",
"license": "mit",
"hash": -4359348670182107600,
"line_mean": 37.9368421053,
"line_max": 129,
"alpha_frac": 0.5485266288,
"autogenerated": false,
"ratio": 3.8551328817092236,
"config_test... |
from feedplatform import test as feedev
from feedplatform import addins
class test_addin(addins.base):
called = 0
def on_get_item(self, feed, entry_dict, guid):
self.__class__.called += 1
if guid == 'neverfind':
return False # never return an item in this case
ADDINS = ... | {
"repo_name": "miracle2k/feedplatform",
"path": "tests/hooks/test_get_item.py",
"copies": "1",
"size": "1036",
"license": "bsd-2-clause",
"hash": -4689305732340790000,
"line_mean": 26.8333333333,
"line_max": 93,
"alpha_frac": 0.5752895753,
"autogenerated": false,
"ratio": 3.837037037037037,
"co... |
from feedplatform import test as feedev
from feedplatform import db
from feedplatform.lib import guid_by_content
ADDINS = [guid_by_content(prefix='cnt::', fields=('title', 'link'),
allow_empty=False)]
class TestFeed(feedev.Feed):
content = """
<rss><channel>
... | {
"repo_name": "miracle2k/feedplatform",
"path": "tests/lib/items/guid/test_guid_by_content.py",
"copies": "1",
"size": "2116",
"license": "bsd-2-clause",
"hash": -2647982872297219000,
"line_mean": 29.6119402985,
"line_max": 79,
"alpha_frac": 0.5122873346,
"autogenerated": false,
"ratio": 4.084942... |
from feedplatform import test as feedev
from feedplatform.lib import guid_by_date
ADDINS = [guid_by_date(prefix='dt::')]
class TestFeed(feedev.Feed):
content = """
<rss><channel>
<!-- date is missing -->
<item>
<title>The Blog, Post #1</title>
... | {
"repo_name": "miracle2k/feedplatform",
"path": "tests/lib/items/guid/test_guid_by_date.py",
"copies": "1",
"size": "2019",
"license": "bsd-2-clause",
"hash": -3695974755171479000,
"line_mean": 31.131147541,
"line_max": 71,
"alpha_frac": 0.4952947003,
"autogenerated": false,
"ratio": 4.20625,
"... |
from feedplatform import test as feedev
from feedplatform.lib import guid_by_enclosure
ADDINS = [guid_by_enclosure(prefix='enc::')]
class TestFeed(feedev.Feed):
content = """
<rss><channel>
<item>
<title>The Podcast, Episode #4</title>
<enclosure url="... | {
"repo_name": "miracle2k/feedplatform",
"path": "tests/lib/items/guid/test_guid_by_enclosure.py",
"copies": "1",
"size": "2199",
"license": "bsd-2-clause",
"hash": 2914646425925408000,
"line_mean": 30.3676470588,
"line_max": 108,
"alpha_frac": 0.4920418372,
"autogenerated": false,
"ratio": 3.9836... |
from feedplatform.management import BaseCommand
from feedplatform import db
class Command(BaseCommand):
help = 'Show defined models and fields.'
def handle(self, *args, **options):
for model in db.models:
header = model.__name__
if model.__name__.lower() != model.__s... | {
"repo_name": "miracle2k/feedplatform",
"path": "feedplatform/management/commands/models.py",
"copies": "1",
"size": "1250",
"license": "bsd-2-clause",
"hash": 8911516278168493000,
"line_mean": 41.1724137931,
"line_max": 71,
"alpha_frac": 0.5288,
"autogenerated": false,
"ratio": 4.664179104477612... |
from feedReader.models import SiteInfo
import feedparser
import hashlib
from feedReader.mongoFunctions import Mongo
from time import mktime
from datetime import datetime
from django.utils.html import strip_tags
import time
from bs4 import BeautifulSoup
#from urllib2 import Request, urlopen
import urllib3
import re
cl... | {
"repo_name": "rohithb/threeSixtyOne",
"path": "fromRakr/ParsingFunctions.py",
"copies": "1",
"size": "6385",
"license": "mit",
"hash": 4484696985543299000,
"line_mean": 36.1220930233,
"line_max": 118,
"alpha_frac": 0.5570869225,
"autogenerated": false,
"ratio": 4.544483985765124,
"config_test"... |
from feedreader.utils.proxy import Proxy
class InvalidFeed(Exception): pass
class BetterObject(object):
def __repr__(self):
return "<%s: %s>" % (self.__class__.__name__, self)
class Tag(BetterObject, Proxy):
def __unicode__(self):
return unicode(self.__instance__).strip()
class Author(Better... | {
"repo_name": "dcramer/feedreader",
"path": "feedreader/feeds/__init__.py",
"copies": "1",
"size": "1973",
"license": "bsd-2-clause",
"hash": -5541727111260116000,
"line_mean": 22.5,
"line_max": 76,
"alpha_frac": 0.5686771414,
"autogenerated": false,
"ratio": 3.794230769230769,
"config_test": f... |
from feedrsub.authors.author_handler import get_subscribed_authorfeed_authors
from feedrsub.models.userfeed import UserFeed
from feedrsub.models.websub_subscription import WebSubSubscription
from tests.factories import AuthorFactory
def test_get_subscribed_authorfeed_authors(session):
user_feed = UserFeed(url="te... | {
"repo_name": "DBeath/flask-feedrsub",
"path": "tests/authors/author_handler_test.py",
"copies": "1",
"size": "1139",
"license": "mit",
"hash": -1825896460956104400,
"line_mean": 32.5,
"line_max": 79,
"alpha_frac": 0.7348551361,
"autogenerated": false,
"ratio": 3.7100977198697067,
"config_test"... |
from feedrsub.database import db
from datetime import datetime
class ResourceMixin(object):
# Keep track of record creation and update times.
created_on = db.Column(db.DateTime, default=datetime.utcnow)
updated_on = db.Column(db.DateTime, onupdate=datetime.utcnow)
@classmethod
def sort_by(cls, fi... | {
"repo_name": "DBeath/flask-feedrsub",
"path": "feedrsub/models/resource_mixin.py",
"copies": "1",
"size": "4062",
"license": "mit",
"hash": -5270410993863946000,
"line_mean": 28.4347826087,
"line_max": 83,
"alpha_frac": 0.5499753816,
"autogenerated": false,
"ratio": 4.204968944099379,
"config_... |
from feedrsub.database import db
from feedrsub.models.public_id_mixin import PublicIdMixin
from feedrsub.models.resource_mixin import ResourceMixin
class AuthorMap(db.Model, ResourceMixin, PublicIdMixin):
__tablename__ = "author_map"
__table_args__ = (
db.UniqueConstraint("site_host", "author_string"... | {
"repo_name": "DBeath/flask-feedrsub",
"path": "feedrsub/models/author_map.py",
"copies": "1",
"size": "2361",
"license": "mit",
"hash": 5341437389907659000,
"line_mean": 34.2388059701,
"line_max": 114,
"alpha_frac": 0.6315120712,
"autogenerated": false,
"ratio": 3.7122641509433962,
"config_tes... |
from feedrsub.ingestion.parsers.parser_factory import ParserFactory
from feedrsub.ingestion.parsers.jsonfeed.jsonfeed_parser import JsonFeedParser
from feedrsub.ingestion.parsers.rss.rss_parser import RssParser
from feedrsub.ingestion.parsers.json_activitystream.json_parser import JsonParser
def test_factory_returns_... | {
"repo_name": "DBeath/flask-feedrsub",
"path": "tests/ingestion/parser_factory_test.py",
"copies": "1",
"size": "2056",
"license": "mit",
"hash": 2061396085921474300,
"line_mean": 37.0740740741,
"line_max": 88,
"alpha_frac": 0.7451361868,
"autogenerated": false,
"ratio": 3.7246376811594204,
"co... |
from feedrsub.models.author import Author
from feedrsub.models.entry import Entry
from feedrsub.models.feed import Feed, STATUS
from feedrsub.models.subscription import Subscription
from feedrsub.models.period import Period, periods, PERIOD
from feedrsub.models.email import Email
from feedrsub.models.recommended import... | {
"repo_name": "DBeath/flask-feedrsub",
"path": "feedrsub/utils/dev_data.py",
"copies": "1",
"size": "2622",
"license": "mit",
"hash": -2810706903769967000,
"line_mean": 27.5,
"line_max": 71,
"alpha_frac": 0.6544622426,
"autogenerated": false,
"ratio": 3.477453580901857,
"config_test": true,
"... |
from feedrsub.models.public_id_mixin import PublicIdMixin
from feedrsub.models.user import User
import uuid
from tests.factories import UserFactory
def test_public_id_mixin():
item = PublicIdMixin()
item.public_id = uuid.uuid4()
encoded = item.encode_public_id()
assert encoded
assert isinstance(e... | {
"repo_name": "DBeath/flask-feedrsub",
"path": "tests/models/public_id_mixin_test.py",
"copies": "1",
"size": "1123",
"license": "mit",
"hash": 2899018485206915600,
"line_mean": 27.7948717949,
"line_max": 68,
"alpha_frac": 0.7079252004,
"autogenerated": false,
"ratio": 3.5650793650793653,
"conf... |
from feedrsub.utils.feeds.rfeed import Serializable, ElementRequiredError
class PushLink(Serializable):
""" A PushLink object specifies a link that allows for PubSubHubbub discovery.
More information at http://pubsubhubbub.googlecode.com/svn/trunk/pubsubhubbub-core-0.4.html#discovery
or http://documentati... | {
"repo_name": "DBeath/flask-feedrsub",
"path": "feedrsub/utils/feeds/pushlink.py",
"copies": "1",
"size": "1212",
"license": "mit",
"hash": 3223704753244089000,
"line_mean": 32.6666666667,
"line_max": 105,
"alpha_frac": 0.6353135314,
"autogenerated": false,
"ratio": 4.067114093959732,
"config_t... |
from feedsearch import search
from flask import current_app as app
from flask_admin.actions import action
from feedrsub.admin.views import SecuredModelView
from feedrsub.database import db
from feedrsub.ingestion import subscriber
from feedrsub.ingestion.tasks import task_fetch_feed
from feedrsub.ingestion.utils impor... | {
"repo_name": "DBeath/flask-feedrsub",
"path": "feedrsub/admin/views/feed_model_view.py",
"copies": "1",
"size": "7100",
"license": "mit",
"hash": 460561751471234600,
"line_mean": 33.4660194175,
"line_max": 88,
"alpha_frac": 0.5532394366,
"autogenerated": false,
"ratio": 3.9183222958057393,
"co... |
from feed.views import (
ProgramTargetFrequencies,
)
from tola_management.views import (
UserAdminViewSet,
OrganizationAdminViewSet,
)
from tola_management.programadmin import (
ProgramAdminViewSet,
)
from tola_management.countryadmin import (
CountryAdminViewSet,
CountryObjectiveViewset,
Co... | {
"repo_name": "mercycorps/TolaActivity",
"path": "tola/urls.py",
"copies": "1",
"size": "5788",
"license": "apache-2.0",
"hash": 6172620250190478000,
"line_mean": 38.9172413793,
"line_max": 129,
"alpha_frac": 0.7145818936,
"autogenerated": false,
"ratio": 3.601742377100187,
"config_test": false... |
from FEExpresser import FEExpresser
from FESingleAUCNN import FESingleAUCNN
import tensorflow as tf
import thread
class FEAggregatedCNN(FEExpresser):
"""Uses multiple individually trained FESingleAUCNNs together to produce predictions for a range of action units.
"""
def __init__(self, image_size, codes,... | {
"repo_name": "cosanlab/emote",
"path": "src/face_express/FEAggregatedCNN.py",
"copies": "1",
"size": "2073",
"license": "mit",
"hash": 2185581006263473700,
"line_mean": 28.6285714286,
"line_max": 119,
"alpha_frac": 0.6136034732,
"autogenerated": false,
"ratio": 3.9187145557655954,
"config_test... |
from fe import create_app
from unittest import TestCase
from mock import patch, MagicMock
from wb_api import WBAPIUnauthorizedError, WBAPIHTTPError
class TestFECase(TestCase):
@patch('fe.WBAPI')
def setUp(self, wbapi_mock):
self.app = create_app('tests.config')
self.client = self.app.test_cli... | {
"repo_name": "hmrc/wristband-frontend",
"path": "tests/test_fe.py",
"copies": "1",
"size": "10048",
"license": "apache-2.0",
"hash": -5839692064833394000,
"line_mean": 42.1244635193,
"line_max": 98,
"alpha_frac": 0.6109673567,
"autogenerated": false,
"ratio": 3.6117900790797988,
"config_test":... |
from fe import *
from pgtypes import *
from util import *
from registry import *
# Postgres Object ID constants
class PgOids:
BOOL = 16
BYTEA = 17
CHAR = 18
INT8 = 20
INT2 = 21
INT4 = 23
TEXT = 25
FLOAT4 = 700
FLOAT8 = 701
ABSTIME = 702
RELTIME = 703
TI... | {
"repo_name": "jamwt/pgasync",
"path": "pgasync/__init__.py",
"copies": "1",
"size": "1506",
"license": "bsd-3-clause",
"hash": -6626427497417736000,
"line_mean": 24.9655172414,
"line_max": 105,
"alpha_frac": 0.6806108898,
"autogenerated": false,
"ratio": 2.879541108986616,
"config_test": false... |
from feincms.content.medialibrary.models import MediaFileContent
from feincms.content.richtext.models import RichTextContent
from feincms.content.section.models import SectionContent
class JsonRichTextContent(RichTextContent):
class Meta(RichTextContent.Meta):
abstract = True
def json(self, **kwargs)... | {
"repo_name": "incuna/feincms-extensions",
"path": "feincms_extensions/content_types.py",
"copies": "1",
"size": "1870",
"license": "bsd-2-clause",
"hash": -5141931966086073000,
"line_mean": 29.1612903226,
"line_max": 75,
"alpha_frac": 0.6181818182,
"autogenerated": false,
"ratio": 4.318706697459... |
from fellar.application import app
from flask.ext.sqlalchemy import SQLAlchemy
from glask.datetimes import now
from sqlalchemy import Column, String, Text, ForeignKey, DateTime
from sqlalchemy.dialects.postgresql import JSON
from sqlalchemy.orm import relationship
db = SQLAlchemy(app=app)
Model = db.Model
class Fac... | {
"repo_name": "sungmin-park/fellar",
"path": "fellar/models.py",
"copies": "1",
"size": "1051",
"license": "bsd-2-clause",
"hash": 1445743920261218600,
"line_mean": 34.0333333333,
"line_max": 80,
"alpha_frac": 0.7402473834,
"autogenerated": false,
"ratio": 3.7942238267148016,
"config_test": fal... |
from fem import QuadFE, DofHandler, Function
from mesh import Mesh
import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
mesh = Mesh.newmesh()
for _ in range(5):
mesh.refine()
element = QuadFE(2,'Q3')
f = Function( lambda x,y: np.sin(2*np.pi*x)*np.cos(3*np.pi*y), 'explicit')
... | {
"repo_name": "hvanwyk/quadmesh",
"path": "debug/function_class.py",
"copies": "1",
"size": "1037",
"license": "mit",
"hash": -7390342767601152000,
"line_mean": 27.8333333333,
"line_max": 75,
"alpha_frac": 0.6692381871,
"autogenerated": false,
"ratio": 2.5732009925558312,
"config_test": false,
... |
from FEMmesh import FEMmesh
from FEMsolver import FEMsolver
# 1) input mesh
# mesh
verts = [[0, -101, 0.0, 0.0],
[1, 0, 2.0, 0.0],
[2, -102, 4.0, 0.0],
[3, -103, 6.0, 0.0],
[4, 0, 8.0, 0.0],
[5, -104, 10.0, 0.0],
[6, 0, 2.0, 4.0],
... | {
"repo_name": "PaddySchmidt/gofem",
"path": "fem/data/bridge01.py",
"copies": "1",
"size": "2177",
"license": "bsd-3-clause",
"hash": -7987530811781964000,
"line_mean": 23.3139534884,
"line_max": 50,
"alpha_frac": 0.3619660083,
"autogenerated": false,
"ratio": 2.2748171368861025,
"config_test":... |
from FEMur import Element
import sympy as sy
import numpy as np
import scipy as sc
import matplotlib.pyplot as plt
from math import ceil
class Element2D(Element):
'Defines the Planar Elements with its nodes and shape functions'
def __init__(self, element_type, node_table, index, analysis_type):
Elemen... | {
"repo_name": "MrJarv1s/FEMur",
"path": "FEMur/element2D.py",
"copies": "1",
"size": "26799",
"license": "mit",
"hash": 5859333129355483000,
"line_mean": 31.8419117647,
"line_max": 92,
"alpha_frac": 0.5172581066,
"autogenerated": false,
"ratio": 3.3105620753551577,
"config_test": false,
"has_... |
from FEMur import Mesh
import sympy as sy
import numpy as np
import scipy as sc
import matplotlib.pyplot as plt
from scipy.special import p_roots
class Mesh1D(Mesh):
'1 Dimensional Mesh.'
def __init__(self, domain, Number_of_elements, Nodes_per_element,
conditions):
self.start = domai... | {
"repo_name": "MrJarv1s/FEMur",
"path": "FEMur/mesh1D.py",
"copies": "1",
"size": "10284",
"license": "mit",
"hash": 2295028442764691200,
"line_mean": 33.8610169492,
"line_max": 79,
"alpha_frac": 0.5071956437,
"autogenerated": false,
"ratio": 3.9013657056145674,
"config_test": false,
"has_no_... |
from FEMur import *
import sympy as sy
import numpy as np
import scipy as sc
import matplotlib.pyplot as plt
import matplotlib.tri as tri
import scipy.interpolate
from math import ceil
class Mesh2D(Mesh):
"""
2 Dimensional Mesh definition based on GMSH 3.0 ASCII Mesh Format.
This class will define import ... | {
"repo_name": "MrJarv1s/FEMur",
"path": "FEMur/mesh2D.py",
"copies": "1",
"size": "11162",
"license": "mit",
"hash": -6262348016258207000,
"line_mean": 39.0071684588,
"line_max": 82,
"alpha_frac": 0.464791256,
"autogenerated": false,
"ratio": 4.768047842802221,
"config_test": false,
"has_no_k... |
from FEMur import *
import sys
import sympy as sy
import numpy as np
import scipy as sc
import matplotlib.pyplot as plt
import matplotlib.tri as tri
import scipy.interpolate
from math import ceil
class Solver(object):
'''
2-dimensional solver top class.
Provides common initialization to all child solver... | {
"repo_name": "MrJarv1s/FEMur",
"path": "FEMur/solver2D.py",
"copies": "1",
"size": "7980",
"license": "mit",
"hash": -5207595663665154000,
"line_mean": 30.5415019763,
"line_max": 98,
"alpha_frac": 0.5501253133,
"autogenerated": false,
"ratio": 3.5929761368752815,
"config_test": false,
"has_n... |
from FEMur import Node
class Node1D(Node):
'Class for all 1-D Nodes'
total_nodes = 0
def __init__(self, x_coord, index):
self.number = Node1D.total_nodes
self.x = x_coord # X coordinate of the node.
self.dof = 1 # Degree of freedom of the node.
self.index = ... | {
"repo_name": "MrJarv1s/FEMur",
"path": "FEMur/node1D.py",
"copies": "1",
"size": "1101",
"license": "mit",
"hash": -5953685388434434000,
"line_mean": 35.7,
"line_max": 77,
"alpha_frac": 0.6003633061,
"autogenerated": false,
"ratio": 3.45141065830721,
"config_test": false,
"has_no_keywords": ... |
from FEMur import Node
class Node2D(Node):
'Class for all 2-D Nodes'
total_nodes = 0
def __init__(self, x_coord, y_coord, index):
self.number = Node2D.total_nodes
self.x = x_coord # X coordinate of the node.
self.y = y_coord # Y coordinate of the node.
sel... | {
"repo_name": "MrJarv1s/FEMur",
"path": "FEMur/node2D.py",
"copies": "1",
"size": "1476",
"license": "mit",
"hash": -2962883208701226500,
"line_mean": 36.8461538462,
"line_max": 79,
"alpha_frac": 0.5745257453,
"autogenerated": false,
"ratio": 3.3318284424379234,
"config_test": false,
"has_no_... |
from FEMur import Node
class Node3D(Node):
'Class for all 3-D Nodes'
total_nodes = 0
def __init__(self, x_coord, y_coord, z_coord, index):
self.number = Node3D.total_nodes
self.x = x_coord # X coordinate of the node.
self.y = y_coord # Y coordinate of the node.
... | {
"repo_name": "MrJarv1s/FEMur",
"path": "FEMur/node3D.py",
"copies": "1",
"size": "1560",
"license": "mit",
"hash": -4272908926432298000,
"line_mean": 41.1621621622,
"line_max": 79,
"alpha_frac": 0.5448717949,
"autogenerated": false,
"ratio": 3.3620689655172415,
"config_test": false,
"has_no_... |
from fenalib.assert_utils import assert_type, assert_list_types
from fenalib.repr_utils import addrepr
@addrepr
class McFunction:
"""
Args:
full_path (str)
mfunc_name (str)
debug (bool)
Attributes:
full_path (str): The full path to the mcfunction file
mfunc_name (st... | {
"repo_name": "Aquafina-water-bottle/Command-Compiler-Unlimited",
"path": "fenalib/mcfunction.py",
"copies": "1",
"size": "1520",
"license": "mit",
"hash": 3768614640269012000,
"line_mean": 26.6363636364,
"line_max": 80,
"alpha_frac": 0.6013157895,
"autogenerated": false,
"ratio": 4.0860215053763... |
from fenics import *
from dolfin import *
#gets boundary mesh and boundary values for said mesh
def ply2bvals(infile):
mesh=Mesh()
editor=MeshEditor()
a=infile.readline()
while not(a.startswith("element vertex")): a=infile.readline()
tempvals=[]
b=a.split()
n=int(b[2])
while not(a.startswith("element ... | {
"repo_name": "jcrist1/iterated_bdry_solver",
"path": "src/ply2fn.py",
"copies": "1",
"size": "1524",
"license": "mit",
"hash": -8876226416460841000,
"line_mean": 24.8305084746,
"line_max": 64,
"alpha_frac": 0.6463254593,
"autogenerated": false,
"ratio": 2.605128205128205,
"config_test": false,... |
from fenics import *
import numpy as np
import matplotlib.pyplot as plt
from matplotlib import tri
from math import pi,sinh,cosh
from mshr import *
# Create mesh and define function space
box = Rectangle(Point(0, 0), Point(5,3))
mesh = generate_mesh(box, 400)
# element of degree 1
V = FunctionSpace(mesh, 'P', 1)
nearE... | {
"repo_name": "ChesnakovKonstantin/Test-Example",
"path": "Python projects/fenics/PythonApplicationFenics.py",
"copies": "1",
"size": "2939",
"license": "mit",
"hash": -5339921266694018000,
"line_mean": 32.0224719101,
"line_max": 320,
"alpha_frac": 0.6961551548,
"autogenerated": false,
"ratio": 2... |
from fenics import *
# Test for PETSc
# Create mesh and define function space
def inorout(V,boundaries,bvals,ibdry,obdry,key):
if not has_linear_algebra_backend("PETSc"):
info("DOLFIN has not been configured with TPETSc. Exiting.")
exit()
parameters["linear_algebra_backend"] = "PETSc"
#key tells us whe... | {
"repo_name": "jcrist1/iterated_bdry_solver",
"path": "src/code.py",
"copies": "1",
"size": "1692",
"license": "mit",
"hash": -8631733233499670000,
"line_mean": 29.2142857143,
"line_max": 178,
"alpha_frac": 0.6708037825,
"autogenerated": false,
"ratio": 3.121771217712177,
"config_test": false,
... |
from fenoperator import FENOperator as FEN
from sys import argv
if '-silent' in argv or '-s' in argv:
silentmode = True
else:
silentmode = False
testnumber = 0
def testing (fen, out):
global testnumber
testnumber += 1
if not silentmode:
print testnumber
print str(fen)
prin... | {
"repo_name": "Acebulf/PyUCI",
"path": "tests/fentester.py",
"copies": "1",
"size": "3247",
"license": "apache-2.0",
"hash": 5307504712728750000,
"line_mean": 33.5425531915,
"line_max": 82,
"alpha_frac": 0.7246689252,
"autogenerated": false,
"ratio": 1.7410187667560322,
"config_test": true,
"... |
from fenpei import HopcroftKarp
import copy
#graph = {'a': {2,3}, 'b': {1, 3}, 'c': {1, 2}}
#graph = {'a': {2,3}, 'b': {1, 2,4,5}, 'c': {2, 3}, 'd':{2,3}, 'e':{4,5}}
#print(HopcroftKarp(graph).maximum_matching())
#testi = HopcroftKarp(graph).maximum_matching()
#print(testi)
graph1 = {'y1': {1}, 'y8':{2},
'y... | {
"repo_name": "amazing814/masterthesis",
"path": "test_fenpei.py",
"copies": "1",
"size": "1855",
"license": "mit",
"hash": 5767487667436424000,
"line_mean": 34.6730769231,
"line_max": 91,
"alpha_frac": 0.5789757412,
"autogenerated": false,
"ratio": 2.48993288590604,
"config_test": false,
"ha... |
from fermi_blind_search.database import Database
import pytest
def test_setup(configuration):
db = Database(configuration)
# create the tables so deleting them does not fail
db.create_tables()
# drop the tables to make sure they are empty when we start testing
db.delete_results_table()
db.d... | {
"repo_name": "giacomov/fermi_blind_search",
"path": "test/test_db.py",
"copies": "1",
"size": "7280",
"license": "bsd-3-clause",
"hash": 1288493258669088500,
"line_mean": 40.8390804598,
"line_max": 120,
"alpha_frac": 0.6346153846,
"autogenerated": false,
"ratio": 3.115104835258879,
"config_tes... |
from fern import errors
from fern.ast.node import Node
from fern.ast.tools import simplify, ItemStream
from fern.ast.kvpair import KVPair
from operator import attrgetter
from fern.primitives import Undefined
class Map(Node):
def __init__(self):
Node.__init__(self)
self.children = [] # mostl... | {
"repo_name": "andrewf/fern",
"path": "fern/ast/map.py",
"copies": "1",
"size": "2913",
"license": "mit",
"hash": -1961491637939044900,
"line_mean": 33.2705882353,
"line_max": 110,
"alpha_frac": 0.5300377618,
"autogenerated": false,
"ratio": 4.347761194029851,
"config_test": false,
"has_no_ke... |
from fern.primitives import Undefined
import tools
class Node(object):
def __init__(self):
self._parent = None
self.value = None
self.namebearing = False
def reference(self, key):
'''
Looks up a name/key reference in either this scope
or the containing one.
... | {
"repo_name": "andrewf/fern",
"path": "fern/ast/node.py",
"copies": "1",
"size": "3785",
"license": "mit",
"hash": -187287998418914620,
"line_mean": 32.7946428571,
"line_max": 78,
"alpha_frac": 0.5696169089,
"autogenerated": false,
"ratio": 4.458186101295642,
"config_test": false,
"has_no_key... |
from ferris.core.controller import Controller, route_with, route
from ferrisnose import AppEngineWebTest
class TestController(Controller):
class Meta:
prefixes = ['pre']
@route_with('/[controller]/[action]/<a>/<b>/<c>')
@route_with('/[controller]/[action]/<a>/<b>')
@route_with('/[controller]... | {
"repo_name": "markEarvin/sl-contest-tracker",
"path": "ferris/tests/test_stacking_routes_and_vars.py",
"copies": "3",
"size": "3237",
"license": "mit",
"hash": 1803159565085329400,
"line_mean": 39.9746835443,
"line_max": 109,
"alpha_frac": 0.6320667285,
"autogenerated": false,
"ratio": 3.2305389... |
from ferris.core import inflector, autoadmin
from ferris.core.forms import model_form
from ferris.components.flash_messages import FlashMessages
(autoadmin) # load autoadmin here, if any controller use scaffold it'll be included and initialized
class Scaffolding(object):
"""
Scaffolding Component
"""
... | {
"repo_name": "markEarvin/sl-contest-tracker",
"path": "ferris/core/scaffold.py",
"copies": "3",
"size": "8637",
"license": "mit",
"hash": 1821595829126242600,
"line_mean": 35.1380753138,
"line_max": 181,
"alpha_frac": 0.6694454093,
"autogenerated": false,
"ratio": 4.244226044226044,
"config_te... |
from ferris.core import plugins
import threading
import logging
from .models.setting import Setting as SettingsModel
from ferris import events
from google.appengine.api import memcache
import datetime
plugins.register('settings')
global_cache = {}
local_cache = threading.local()
def activate(settings):
if 'ove... | {
"repo_name": "markEarvin/password-tracker",
"path": "plugins/settings/__init__.py",
"copies": "1",
"size": "1146",
"license": "mit",
"hash": -827508272481562100,
"line_mean": 23.3829787234,
"line_max": 72,
"alpha_frac": 0.6954624782,
"autogenerated": false,
"ratio": 3.7697368421052633,
"config... |
from ferris.core import search as ferris_search
class Search(object):
"""
Provides a simple high-level interface to searching items in the App Engine Search API and
utilizes the search helpers in :mod:`ferris.core.search`.
"""
def __init__(self, controller):
self.controller = controller
... | {
"repo_name": "markEarvin/sl-contest-tracker",
"path": "ferris/components/search.py",
"copies": "3",
"size": "2848",
"license": "mit",
"hash": -1840847677553104100,
"line_mean": 39.6857142857,
"line_max": 148,
"alpha_frac": 0.6436095506,
"autogenerated": false,
"ratio": 4.348091603053435,
"conf... |
from ferris.core import settings, template
from google.appengine.api import mail, app_identity
import logging
def send(recipient, subject, body, text_body=None, sender=None, reply_to=None, **kwargs):
"""
Sends an html email to ``recipient`` with the given ``subject`` and ``body``.
If ``sender`` is none, ... | {
"repo_name": "markEarvin/password-tracker",
"path": "ferris/core/mail.py",
"copies": "1",
"size": "2471",
"license": "mit",
"hash": -2298240778752739300,
"line_mean": 34.8115942029,
"line_max": 128,
"alpha_frac": 0.6329421287,
"autogenerated": false,
"ratio": 3.9160063391442157,
"config_test":... |
from ferris.core import settings, template
from google.appengine.api import mail
import logging
def send(recipient, subject, body, sender=None, reply_to=None, **kwargs):
"""
Sends an html email to ``recipient`` with the given ``subject`` and ``body``.
If sender is none, it's automatically set to ``app_co... | {
"repo_name": "yowmamasita/social-listener-exam",
"path": "ferris/core/mail.py",
"copies": "1",
"size": "1687",
"license": "mit",
"hash": -2295038938060013000,
"line_mean": 32.74,
"line_max": 108,
"alpha_frac": 0.6253704801,
"autogenerated": false,
"ratio": 4.035885167464115,
"config_test": fal... |
from ferris.core.ndb import Behavior
from ferris.core import search
default_indexer = search.default_entity_indexer
class Searchable(Behavior):
"""
Automatically indexes models during after_put into the App Engine Text Search API.
"""
def _get_index(self):
if hasattr(self.Model.Meta, 'search... | {
"repo_name": "yowmamasita/social-listener-exam",
"path": "ferris/behaviors/searchable.py",
"copies": "3",
"size": "1356",
"license": "mit",
"hash": 2574922930793688000,
"line_mean": 38.8823529412,
"line_max": 113,
"alpha_frac": 0.6585545723,
"autogenerated": false,
"ratio": 3.941860465116279,
... |
from ferris.core.ndb import ndb
from ferris.core.response_handlers import ResponseHandler
from protopigeon import Message, model_message, to_message, messages
import logging
def list_message(message_type):
name = message_type.__name__ + 'List'
fields = {
'items': messages.MessageField(message_type, 1,... | {
"repo_name": "markEarvin/password-tracker",
"path": "ferris/core/messages/component.py",
"copies": "1",
"size": "5673",
"license": "mit",
"hash": 195540689384333730,
"line_mean": 37.0738255034,
"line_max": 138,
"alpha_frac": 0.6448087432,
"autogenerated": false,
"ratio": 4.220982142857143,
"co... |
from ferris import Controller
import tweepy
class Tweets(Controller):
def list(self):
try:
screen_name = self.request.params['q']
if screen_name:
self.context['tweets'] = self.dump_tweets(screen_name)
else:
raise KeyError
except:
... | {
"repo_name": "yowmamasita/social-listener-exam",
"path": "app/controllers/tweets.py",
"copies": "1",
"size": "1245",
"license": "mit",
"hash": 602055706791988100,
"line_mean": 31.7631578947,
"line_max": 96,
"alpha_frac": 0.6248995984,
"autogenerated": false,
"ratio": 2.8752886836027716,
"confi... |
from ferris import Controller, route, scaffold
from ferris.core.oauth2.user_credentials import UserCredentials
from ferris.components import oauth
from apiclient.discovery import build
from collections import OrderedDict
import wtforms
class AddForm(wtforms.Form):
scopes = wtforms.TextAreaField(validators=[wtform... | {
"repo_name": "markEarvin/sl-contest-tracker",
"path": "plugins/oauth_manager/controllers/oauth_manager.py",
"copies": "3",
"size": "1684",
"license": "mit",
"hash": -7336901581611596000,
"line_mean": 29.6181818182,
"line_max": 129,
"alpha_frac": 0.6579572447,
"autogenerated": false,
"ratio": 4.0... |
from ferris import plugins, settings, ndb
plugins.register('service_account')
from plugins.settings import SettingModel
class ServiceAccountSettings(SettingModel):
_name = 'OAuth2 Service Account'
_settings_key = 'oauth2_service_account'
domain = ndb.StringProperty(indexed=False, verbose_name="The Googl... | {
"repo_name": "yowmamasita/social-listener-exam",
"path": "plugins/service_account/__init__.py",
"copies": "1",
"size": "2050",
"license": "mit",
"hash": -8541062236405735000,
"line_mean": 30.5384615385,
"line_max": 116,
"alpha_frac": 0.7073170732,
"autogenerated": false,
"ratio": 4.0755467196819... |
from ferrisnose import AppEngineTest
from ferris.core.ndb import Model, Behavior, ndb
class TestBehavior(Behavior):
count = 0
deleted_count = 0
def before_put(self, instance):
instance.string_two = instance.string_one + '4'
def after_put(self, instance):
TestBehavior.count += 1
... | {
"repo_name": "markEarvin/password-tracker",
"path": "ferris/tests/test_behaviors.py",
"copies": "3",
"size": "1173",
"license": "mit",
"hash": -4353933185128414000,
"line_mean": 21.1320754717,
"line_max": 55,
"alpha_frac": 0.6240409207,
"autogenerated": false,
"ratio": 3.7717041800643085,
"con... |
from ferrisnose import AppEngineTest
from ferris import Model, ndb, messages
from ferris.core.bunch import Bunch
from ferris.core.request_parsers import MessageParser
from ferris.core.views import MessageView
from ferris.core.event import NamedEvents
from protorpc import protojson
import json
class Widget(Model):
... | {
"repo_name": "markEarvin/password-tracker",
"path": "ferris/tests/test_message_parser.py",
"copies": "3",
"size": "1809",
"license": "mit",
"hash": -6144490770694910000,
"line_mean": 30.1896551724,
"line_max": 84,
"alpha_frac": 0.679933665,
"autogenerated": false,
"ratio": 4.02,
"config_test":... |
from ferrisnose import AppEngineTest
from google.appengine.api import memcache
from ferris.core.memcache import cached, cached_by_args, none_sentinel_string
class MemcacheTest(AppEngineTest):
def test_cached(self):
mutators = [0, 0, 0]
@cached('test-key')
def test_cached():
m... | {
"repo_name": "markEarvin/sl-contest-tracker",
"path": "ferris/tests/test_memcache.py",
"copies": "1",
"size": "1562",
"license": "mit",
"hash": -7422565567163275000,
"line_mean": 27.9259259259,
"line_max": 77,
"alpha_frac": 0.5563380282,
"autogenerated": false,
"ratio": 3.6839622641509435,
"co... |
from ferrisnose import AppEngineTest
from google.appengine.api import users
from google.appengine.ext import ndb
from google.appengine.api import search as search_api
from ferris.core import search
import datetime
class SearchTestModel(ndb.Model):
string = ndb.StringProperty()
string2 = ndb.StringProperty()
... | {
"repo_name": "yowmamasita/social-listener-exam",
"path": "ferris/tests/test_search.py",
"copies": "1",
"size": "2173",
"license": "mit",
"hash": 2392275382962044400,
"line_mean": 32.953125,
"line_max": 128,
"alpha_frac": 0.6502531063,
"autogenerated": false,
"ratio": 3.887298747763864,
"config... |
from ferrisnose import AppEngineWebTest
from ferris.core.controller import Controller, route
from ferris.components import edge_cache
class Cachable(Controller):
class Meta:
components = (edge_cache.EdgeCache,)
@route
def public(self):
self.components.edge_cache('public')
return '... | {
"repo_name": "markEarvin/password-tracker",
"path": "ferris/tests/test_edge_caching.py",
"copies": "1",
"size": "1069",
"license": "mit",
"hash": -8534086918181847000,
"line_mean": 26.4102564103,
"line_max": 67,
"alpha_frac": 0.6482694107,
"autogenerated": false,
"ratio": 3.698961937716263,
"c... |
from ferrisnose import AppEngineWebTest
from ferris.core.controller import Controller, route
from ferris.core.views import ViewContext, View, JsonView
class Widgets(Controller):
@route
def json(self):
self.meta.change_view('Json')
self.context['data'] = {'one': 2}
@route
def template... | {
"repo_name": "yowmamasita/social-listener-exam",
"path": "ferris/tests/test_views.py",
"copies": "3",
"size": "1184",
"license": "mit",
"hash": -5185890500832822000,
"line_mean": 25.9090909091,
"line_max": 57,
"alpha_frac": 0.629222973,
"autogenerated": false,
"ratio": 3.654320987654321,
"conf... |
from ferrisnose import AppEngineWebTest
from ferris.core import scaffold
from ferris.core.controller import Controller, route
from ferris.core.ndb import Model, ndb
class Widget(Model):
name = ndb.StringProperty()
class Widgets(Controller):
class Meta:
prefixes = ('admin',)
components = (sca... | {
"repo_name": "markEarvin/sl-contest-tracker",
"path": "ferris/tests/test_scaffold.py",
"copies": "3",
"size": "3120",
"license": "mit",
"hash": 6076556580600946000,
"line_mean": 30.2,
"line_max": 134,
"alpha_frac": 0.6006410256,
"autogenerated": false,
"ratio": 3.497757847533632,
"config_test"... |
from ferrox.controllers.gallery import find_submissions
from ferrox.lib.base import *
from ferrox.lib import pagination
from ferrox.lib.formgen import FormGenerator
from ferrox.model import form
import pylons.config
import logging
import math
import formencode
log = logging.getLogger(__name__)
def fetch_relationship... | {
"repo_name": "hsuaz/ferrox",
"path": "ferrox/controllers/user.py",
"copies": "2",
"size": "4948",
"license": "mit",
"hash": 7768272015057450000,
"line_mean": 36.7709923664,
"line_max": 199,
"alpha_frac": 0.5966046888,
"autogenerated": false,
"ratio": 3.785768936495792,
"config_test": false,
... |
from ferrox.controllers.user import fetch_relationships
from ferrox.lib.base import *
from ferrox.lib.formgen import FormGenerator
from ferrox.lib.mimetype import get_mime_type
from ferrox.model import form
import pylons.config
import logging
import formencode
log = logging.getLogger(__name__)
class UserSettingsCont... | {
"repo_name": "hsuaz/ferrox",
"path": "ferrox/controllers/user_settings.py",
"copies": "2",
"size": "7380",
"license": "mit",
"hash": -8147737086627571000,
"line_mean": 37.8421052632,
"line_max": 104,
"alpha_frac": 0.5825203252,
"autogenerated": false,
"ratio": 4.075096631695196,
"config_test":... |
from ferrox import model
import sqlalchemy.exceptions
from sqlalchemy import or_, and_, not_
import re
from binascii import crc32
class TagException(Exception):
pass
class TagNotFound(TagException):
pass
cache_by_text = {}
"""
Terms:
tag_string = user input (a b -c)
compiled_tag_string = tag_string using ... | {
"repo_name": "NetShepsky/Ferrox",
"path": "ferrox/lib/tagging.py",
"copies": "2",
"size": "2338",
"license": "mit",
"hash": -7395826402293011000,
"line_mean": 27.1686746988,
"line_max": 101,
"alpha_frac": 0.5868263473,
"autogenerated": false,
"ratio": 3.4895522388059703,
"config_test": false,
... |
from ferrox.lib.base import *
from ferrox.lib.formgen import FormGenerator
from ferrox.model import form
from pylons import config
import formencode
import logging
from sqlalchemy import sql
log = logging.getLogger(__name__)
class CommentsController(BaseController):
def _get_parent_post(self, post_url):
... | {
"repo_name": "NetShepsky/Ferrox",
"path": "ferrox/controllers/comments.py",
"copies": "2",
"size": "3412",
"license": "mit",
"hash": -421377392118991800,
"line_mean": 31.8076923077,
"line_max": 78,
"alpha_frac": 0.5618405627,
"autogenerated": false,
"ratio": 4.135757575757576,
"config_test": f... |
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