code stringlengths 2k 1.04M | repo_path stringlengths 5 517 | parsed_code stringlengths 0 1.04M | quality_prob float64 0.02 0.95 | learning_prob float64 0.02 0.93 |
|---|---|---|---|---|
import os
import numpy as np
class Graph:
def __init__(self, filename, mem_mode='lst', weighted=False, directed=False):
# Verificando se o nome do arquivo passado eh uma string
if (type(filename) != type('')):
raise TypeError('Graph expects a string with the path to the text file that ... | guara/graph.py | import os
import numpy as np
class Graph:
def __init__(self, filename, mem_mode='lst', weighted=False, directed=False):
# Verificando se o nome do arquivo passado eh uma string
if (type(filename) != type('')):
raise TypeError('Graph expects a string with the path to the text file that ... | 0.422505 | 0.409811 |
from byteplay import Code
from byteplay import LOAD_FAST
from byteplay import LOAD_ATTR
from byteplay import LOAD_CONST
from byteplay import BINARY_SUBSCR
from byteplay import STORE_FAST
import inspect
_ANY_VALUE = object()
class _MatchingTuple(tuple):
def __eq__(self, other):
for s, o in zip(self, ot... | pydenji/userproperties/codescraper.py |
from byteplay import Code
from byteplay import LOAD_FAST
from byteplay import LOAD_ATTR
from byteplay import LOAD_CONST
from byteplay import BINARY_SUBSCR
from byteplay import STORE_FAST
import inspect
_ANY_VALUE = object()
class _MatchingTuple(tuple):
def __eq__(self, other):
for s, o in zip(self, ot... | 0.374219 | 0.111386 |
from pygears import alternative, TypeMatchError, gear
from pygears.typing import Union
from pygears.lib import fmap as common_fmap
from pygears.lib.mux import mux
from pygears.lib.demux import demux_ctrl
from pygears.lib.ccat import ccat
from pygears.lib.shred import shred
def unionmap_check(dtype, f, mapping):
i... | pygears/lib/fmaps/union.py | from pygears import alternative, TypeMatchError, gear
from pygears.typing import Union
from pygears.lib import fmap as common_fmap
from pygears.lib.mux import mux
from pygears.lib.demux import demux_ctrl
from pygears.lib.ccat import ccat
from pygears.lib.shred import shred
def unionmap_check(dtype, f, mapping):
i... | 0.493409 | 0.459925 |
import datetime
from toolium.utils.dataset import replace_param
def test_replace_param_no_string():
param = replace_param(1234)
assert param == 1234
def test_replace_param_no_pattern():
param = replace_param('my param')
assert param == 'my param'
def test_replace_param_incomplete_pattern():
p... | toolium/test/utils/test_dataset_replace_param.py | import datetime
from toolium.utils.dataset import replace_param
def test_replace_param_no_string():
param = replace_param(1234)
assert param == 1234
def test_replace_param_no_pattern():
param = replace_param('my param')
assert param == 'my param'
def test_replace_param_incomplete_pattern():
p... | 0.445771 | 0.480113 |
from maclookup import *
from maclookup.models import *
from maclookup.exceptions import EmptyResponseException
from .mock_requester import MockRequester
import unittest
from dateutil.parser import parse
class ApiClientTest(unittest.TestCase):
def setUp(self):
pass
def test_parsing(self):
pay... | tests/api_client_test.py | from maclookup import *
from maclookup.models import *
from maclookup.exceptions import EmptyResponseException
from .mock_requester import MockRequester
import unittest
from dateutil.parser import parse
class ApiClientTest(unittest.TestCase):
def setUp(self):
pass
def test_parsing(self):
pay... | 0.59843 | 0.191649 |
import pandas as pd
import csv
from sklearn import neighbors
from sklearn import datasets
import numpy as np
import yellowbrick as yb
from yellowbrick.neighbors import KnnDecisionBoundariesVisualizer
import matplotlib.pyplot as plt
from matplotlib.colors import ListedColormap
def load_adm_sat_school_data(return_X_y=F... | examples/balavenkatesan/testing.py | import pandas as pd
import csv
from sklearn import neighbors
from sklearn import datasets
import numpy as np
import yellowbrick as yb
from yellowbrick.neighbors import KnnDecisionBoundariesVisualizer
import matplotlib.pyplot as plt
from matplotlib.colors import ListedColormap
def load_adm_sat_school_data(return_X_y=F... | 0.693473 | 0.506652 |
from __future__ import absolute_import, division, print_function, unicode_literals
import logging
import unittest
import tensorflow as tf
import numpy as np
from art.attacks import UniversalPerturbation
from art.classifiers import KerasClassifier
from art.utils import load_dataset, master_seed
from art.utils_test im... | tests/attacks/test_universal_perturbation.py | from __future__ import absolute_import, division, print_function, unicode_literals
import logging
import unittest
import tensorflow as tf
import numpy as np
from art.attacks import UniversalPerturbation
from art.classifiers import KerasClassifier
from art.utils import load_dataset, master_seed
from art.utils_test im... | 0.856077 | 0.640889 |
import sys
import types
import collections
import io
from opcode import *
from opcode import __all__ as _opcodes_all
__all__ = ["code_info", "dis", "disassemble", "distb", "disco",
"findlinestarts", "findlabels", "show_code",
"get_instructions", "Instruction", "Bytecode"] + _opcodes_all
del _op... | contrib/tools/python3/src/Lib/dis.py |
import sys
import types
import collections
import io
from opcode import *
from opcode import __all__ as _opcodes_all
__all__ = ["code_info", "dis", "disassemble", "distb", "disco",
"findlinestarts", "findlabels", "show_code",
"get_instructions", "Instruction", "Bytecode"] + _opcodes_all
del _op... | 0.364099 | 0.186095 |
import numpy as np
from ... import opcodes
from ...config import options
from ...core import OutputType, ENTITY_TYPE
from ...serialization.serializables import BoolField
from .core import DataFrameReductionOperand, DataFrameReductionMixin
class DataFrameSkew(DataFrameReductionOperand, DataFrameReductionMixin):
... | mars/dataframe/reduction/skew.py |
import numpy as np
from ... import opcodes
from ...config import options
from ...core import OutputType, ENTITY_TYPE
from ...serialization.serializables import BoolField
from .core import DataFrameReductionOperand, DataFrameReductionMixin
class DataFrameSkew(DataFrameReductionOperand, DataFrameReductionMixin):
... | 0.760384 | 0.379637 |
import pytest
from investpy import get_stock_historical_data
import trendet
def test_errors():
"""
This function raises trendet errors to improve coverage
"""
params = [
{
'stock': ['error'],
'country': 'Spain',
'from_date': '01/01/2018',
'to... | tests/test_trendet_errors.py |
import pytest
from investpy import get_stock_historical_data
import trendet
def test_errors():
"""
This function raises trendet errors to improve coverage
"""
params = [
{
'stock': ['error'],
'country': 'Spain',
'from_date': '01/01/2018',
'to... | 0.361503 | 0.278665 |
import copy
import chainer
from chainer import reporter
from chainercv.evaluations import eval_semantic_segmentation
from chainercv.utils import apply_to_iterator
import pandas
import six
import tqdm
from instance_occlsegm_lib.contrib.synthetic2d.evaluations import \
eval_instseg_voc
from ..evaluations import ev... | demos/instance_occlsegm/instance_occlsegm_lib/contrib/instance_occlsegm/extensions/panoptic_segmentation_voc_evaluator.py | import copy
import chainer
from chainer import reporter
from chainercv.evaluations import eval_semantic_segmentation
from chainercv.utils import apply_to_iterator
import pandas
import six
import tqdm
from instance_occlsegm_lib.contrib.synthetic2d.evaluations import \
eval_instseg_voc
from ..evaluations import ev... | 0.506591 | 0.215908 |
import unittest
import collections
import dimod
from dwave.system.composites import VirtualGraphComposite
from dwave.system.testing import MockDWaveSampler
class TestVirtualGraphWithMockDWaveSampler(unittest.TestCase):
def setUp(self):
self.sampler = MockDWaveSampler()
def test_smoke(self):
... | tests/test_virtual_graph_composite.py | import unittest
import collections
import dimod
from dwave.system.composites import VirtualGraphComposite
from dwave.system.testing import MockDWaveSampler
class TestVirtualGraphWithMockDWaveSampler(unittest.TestCase):
def setUp(self):
self.sampler = MockDWaveSampler()
def test_smoke(self):
... | 0.75101 | 0.521349 |
import torch
from torch.utils.data.sampler import Sampler
def uxxxx_to_utf8(in_str):
idx = 0
result = ""
if in_str.strip() == "":
return ""
for uxxxx in in_str.split():
if uxxxx == "":
continue
if uxxxx == "<unk>" or uxxxx == "<s>" or uxxxx == "</s>":
... | fairseq/data/datautils.py | import torch
from torch.utils.data.sampler import Sampler
def uxxxx_to_utf8(in_str):
idx = 0
result = ""
if in_str.strip() == "":
return ""
for uxxxx in in_str.split():
if uxxxx == "":
continue
if uxxxx == "<unk>" or uxxxx == "<s>" or uxxxx == "</s>":
... | 0.359926 | 0.32344 |
import collections
import testtools
from neutron.db import api as db
from neutron.plugins.ml2.drivers.cisco import exceptions
from neutron.plugins.ml2.drivers.cisco import nexus_db_v2
from neutron.tests import base
class CiscoNexusDbTest(base.BaseTestCase):
"""Unit tests for Cisco mechanism driver's Nexus port... | neutron/tests/unit/ml2/drivers/test_cisco_nexus_db.py |
import collections
import testtools
from neutron.db import api as db
from neutron.plugins.ml2.drivers.cisco import exceptions
from neutron.plugins.ml2.drivers.cisco import nexus_db_v2
from neutron.tests import base
class CiscoNexusDbTest(base.BaseTestCase):
"""Unit tests for Cisco mechanism driver's Nexus port... | 0.802865 | 0.351367 |
import argparse
import chainer
from chainer import iterators
from chainercv.datasets import coco_bbox_label_names
from chainercv.datasets import COCOBboxDataset
from chainercv.evaluations import eval_detection_coco
from chainercv.utils import apply_to_iterator
from chainercv.utils import ProgressHook
from light_head_... | examples/eval_coco.py | import argparse
import chainer
from chainer import iterators
from chainercv.datasets import coco_bbox_label_names
from chainercv.datasets import COCOBboxDataset
from chainercv.evaluations import eval_detection_coco
from chainercv.utils import apply_to_iterator
from chainercv.utils import ProgressHook
from light_head_... | 0.499512 | 0.225768 |
import argparse
import math
import torch.nn as nn
import torch
import torch.nn.functional as F
from torchvision import datasets, transforms
from models import BayesNet
def train(args, model, device, train_loader, optimizer, epoch):
model.train()
for batch_idx, (data, target) in enumerate(train_loader):
... | bayes-by-backprop/train.py | import argparse
import math
import torch.nn as nn
import torch
import torch.nn.functional as F
from torchvision import datasets, transforms
from models import BayesNet
def train(args, model, device, train_loader, optimizer, epoch):
model.train()
for batch_idx, (data, target) in enumerate(train_loader):
... | 0.848345 | 0.497376 |
import binascii
import json
import os
import os.path
from typing import Callable, Dict, Optional
import requests
from oauthlib.oauth2 import TokenExpiredError
from requests_oauthlib import OAuth2Session
from .exceptions import NeatoException, NeatoLoginException, NeatoRobotException
from .neato import Neato, Vendor
f... | pybotvac/session.py | import binascii
import json
import os
import os.path
from typing import Callable, Dict, Optional
import requests
from oauthlib.oauth2 import TokenExpiredError
from requests_oauthlib import OAuth2Session
from .exceptions import NeatoException, NeatoLoginException, NeatoRobotException
from .neato import Neato, Vendor
f... | 0.785226 | 0.093844 |
import os
from neptune.utils import validate_notebook_path
class Notebook(object):
"""It contains all the information about a Neptune Notebook
Args:
backend (:class:`~neptune.ApiClient`): A ApiClient object
project (:class:`~neptune.projects.Project`): Project object
... | neptune/notebook.py |
import os
from neptune.utils import validate_notebook_path
class Notebook(object):
"""It contains all the information about a Neptune Notebook
Args:
backend (:class:`~neptune.ApiClient`): A ApiClient object
project (:class:`~neptune.projects.Project`): Project object
... | 0.761006 | 0.251396 |
import io
import os
from functools import lru_cache
from lark.exceptions import UnexpectedInput, UnexpectedToken
from .compiler import Compiler
from .compiler.lowering import Lowering
from .exceptions import CompilerError, StoryError, StorySyntaxError
from .parser import Parser
@lru_cache(maxsize=1)
def _parser():... | storyscript/Story.py | import io
import os
from functools import lru_cache
from lark.exceptions import UnexpectedInput, UnexpectedToken
from .compiler import Compiler
from .compiler.lowering import Lowering
from .exceptions import CompilerError, StoryError, StorySyntaxError
from .parser import Parser
@lru_cache(maxsize=1)
def _parser():... | 0.589007 | 0.227748 |
from __future__ import absolute_import
from __future__ import print_function
from __future__ import unicode_literals
import re
from six import string_types
from spdx import annotation
from spdx import checksum
from spdx import creationinfo
from spdx import document
from spdx import file
from spdx import package
fro... | spdx/parsers/tagvaluebuilders.py |
from __future__ import absolute_import
from __future__ import print_function
from __future__ import unicode_literals
import re
from six import string_types
from spdx import annotation
from spdx import checksum
from spdx import creationinfo
from spdx import document
from spdx import file
from spdx import package
fro... | 0.464173 | 0.111895 |
from bottle import route, run
from phue import Bridge
import os, configparser, logging, logging.config, threading, time
def writeDefaultConfig():
logger.debug('No config found. Writing default config to server.cfg. Please adapt accordingly and restart the server.')
config = configparser.ConfigParser()
config... | server.py | from bottle import route, run
from phue import Bridge
import os, configparser, logging, logging.config, threading, time
def writeDefaultConfig():
logger.debug('No config found. Writing default config to server.cfg. Please adapt accordingly and restart the server.')
config = configparser.ConfigParser()
config... | 0.193414 | 0.04056 |
import click
from escpostools.aliases import resolve_alias
from escpostools.cli import pass_context
LONG_RULER = '....:....|' * 8
SHORT_RULER = '....:....|' * 4
@click.command('test', short_help='Runs tests against implementations.')
@click.argument('aliases', type=click.STRING)
@click.option('--all', is_flag=Tru... | escpostools/commands/cmd_test.py |
import click
from escpostools.aliases import resolve_alias
from escpostools.cli import pass_context
LONG_RULER = '....:....|' * 8
SHORT_RULER = '....:....|' * 4
@click.command('test', short_help='Runs tests against implementations.')
@click.argument('aliases', type=click.STRING)
@click.option('--all', is_flag=Tru... | 0.749454 | 0.181173 |
from numpy import power,min,max,floor
import tensorflow as tf
from tensorflow.keras import Model, Sequential, optimizers, losses
from tensorflow.keras.layers import Dense, GRU, Input, Masking, LSTM
from tensorflow.keras.callbacks import LearningRateScheduler
tf.keras.backend.set_floatx('float64')
'''
Learning rate ad... | earshot/model.py | from numpy import power,min,max,floor
import tensorflow as tf
from tensorflow.keras import Model, Sequential, optimizers, losses
from tensorflow.keras.layers import Dense, GRU, Input, Masking, LSTM
from tensorflow.keras.callbacks import LearningRateScheduler
tf.keras.backend.set_floatx('float64')
'''
Learning rate ad... | 0.833392 | 0.560614 |
WIDTH = sx = 854
HEIGHT = sy = 480
TITLE = "Clooky Clunker"
score, totalscore, clunkers = 0, 0, 0
nextgoal = 0
tgoal = -100
clunks = []
tbuy, buytext = -100, ""
t = 0
buttonrects = [Rect((50, 120 + 85 * j, 180, 70)) for j in range(4)]
buttonnames = ["auto-clunker", "clunkutron", "turbo enclunkulator", "clunx capacit... | basic/clooky_clunker.py |
WIDTH = sx = 854
HEIGHT = sy = 480
TITLE = "Clooky Clunker"
score, totalscore, clunkers = 0, 0, 0
nextgoal = 0
tgoal = -100
clunks = []
tbuy, buytext = -100, ""
t = 0
buttonrects = [Rect((50, 120 + 85 * j, 180, 70)) for j in range(4)]
buttonnames = ["auto-clunker", "clunkutron", "turbo enclunkulator", "clunx capacit... | 0.41739 | 0.197077 |
from wtforms.fields import IntegerField, SelectField
from wtforms.validators import DataRequired, Length, NumberRange, Optional, ValidationError
from indico.util.i18n import _, ngettext
from indico.web.fields.base import BaseField
from indico.web.forms.fields import IndicoRadioField, IndicoSelectMultipleCheckboxField... | indico/web/fields/choices.py |
from wtforms.fields import IntegerField, SelectField
from wtforms.validators import DataRequired, Length, NumberRange, Optional, ValidationError
from indico.util.i18n import _, ngettext
from indico.web.fields.base import BaseField
from indico.web.forms.fields import IndicoRadioField, IndicoSelectMultipleCheckboxField... | 0.826817 | 0.178562 |
import numpy as np
from skmultiflow.trees.nodes import ActiveLearningNodePerceptronMultiTarget
from skmultiflow.trees.attribute_observer import NumericAttributeRegressionObserverMultiTarget
from skmultiflow.trees.attribute_observer import NominalAttributeRegressionObserver
from skmultiflow.utils import get_dimensions
... | src/skmultiflow/trees/nodes/sst_active_learning_node.py | import numpy as np
from skmultiflow.trees.nodes import ActiveLearningNodePerceptronMultiTarget
from skmultiflow.trees.attribute_observer import NumericAttributeRegressionObserverMultiTarget
from skmultiflow.trees.attribute_observer import NominalAttributeRegressionObserver
from skmultiflow.utils import get_dimensions
... | 0.896499 | 0.645511 |
import uuid
import testtools
from tempest.api.compute import base
from tempest.common import tempest_fixtures as fixtures
from tempest.common.utils import data_utils
from tempest.common import waiters
from tempest import config
from tempest.lib import exceptions as lib_exc
from tempest import test
CONF = config.CON... | tempest/api/compute/admin/test_servers_negative.py |
import uuid
import testtools
from tempest.api.compute import base
from tempest.common import tempest_fixtures as fixtures
from tempest.common.utils import data_utils
from tempest.common import waiters
from tempest import config
from tempest.lib import exceptions as lib_exc
from tempest import test
CONF = config.CON... | 0.359364 | 0.177543 |
from __future__ import unicode_literals
import numbers
import six
from flex._compat import Sequence, Mapping
SCHEMES = (
'http', 'https', 'ws', 'wss',
)
MIMETYPES = (
'application/json',
)
NULL = 'null'
BOOLEAN = 'boolean'
INTEGER = 'integer'
NUMBER = 'number'
STRING = 'string'
ARRAY = 'array'
OBJECT = ... | flex/constants.py | from __future__ import unicode_literals
import numbers
import six
from flex._compat import Sequence, Mapping
SCHEMES = (
'http', 'https', 'ws', 'wss',
)
MIMETYPES = (
'application/json',
)
NULL = 'null'
BOOLEAN = 'boolean'
INTEGER = 'integer'
NUMBER = 'number'
STRING = 'string'
ARRAY = 'array'
OBJECT = ... | 0.572962 | 0.081593 |
import json
import sys
if sys.version_info[0] != 3:
range = xrange # @ReservedAssignment @UndefinedVariable
class VkTools(object):
""" Содержит некоторые воспомогательные функции, которые могут понадобиться
при использовании API
"""
__slots__ = ('vk',)
def __init__(self, vk):
"... | vk_api/vk_tools.py | import json
import sys
if sys.version_info[0] != 3:
range = xrange # @ReservedAssignment @UndefinedVariable
class VkTools(object):
""" Содержит некоторые воспомогательные функции, которые могут понадобиться
при использовании API
"""
__slots__ = ('vk',)
def __init__(self, vk):
"... | 0.191252 | 0.467696 |
import datetime
from typing import Dict, List, Optional, Union
from azure.core.exceptions import HttpResponseError
import msrest.serialization
from ._monitor_query_client_enums import *
class BatchQueryRequest(msrest.serialization.Model):
"""An single request in a batch.
Variables are only populated by th... | sdk/monitor/azure-monitor-query/azure/monitor/query/_generated/models/_models_py3.py |
import datetime
from typing import Dict, List, Optional, Union
from azure.core.exceptions import HttpResponseError
import msrest.serialization
from ._monitor_query_client_enums import *
class BatchQueryRequest(msrest.serialization.Model):
"""An single request in a batch.
Variables are only populated by th... | 0.92964 | 0.29328 |
import enum
from typing import Dict
import socket
import ipgetter2
import psutil
import orchard.extensions
class IPVersion(enum.Enum):
"""
Versions of the Internet Protocol.
"""
v4 = 4
v6 = 6
@orchard.extensions.cache.memoize()
def hostname() -> str:
"""
Get the host name of th... | orchard/system_status/system/network.py | import enum
from typing import Dict
import socket
import ipgetter2
import psutil
import orchard.extensions
class IPVersion(enum.Enum):
"""
Versions of the Internet Protocol.
"""
v4 = 4
v6 = 6
@orchard.extensions.cache.memoize()
def hostname() -> str:
"""
Get the host name of th... | 0.841109 | 0.298044 |
import cx_Oracle
from utils.logger.log import log
class oracle:
def __init__(self, configs):
self.logger = log.get_logger(category="oracle")
_user = configs["user"]
_password = configs["password"]
_host = configs["host"]
_port = configs["port"]
_sid = c... | utils/database/oracle_tool.py | import cx_Oracle
from utils.logger.log import log
class oracle:
def __init__(self, configs):
self.logger = log.get_logger(category="oracle")
_user = configs["user"]
_password = configs["password"]
_host = configs["host"]
_port = configs["port"]
_sid = c... | 0.177775 | 0.062617 |
import warnings
import argparse
from torch import optim
from torch.optim import lr_scheduler
from torch.utils.data import DataLoader
from dogsvscats.data import get_datasets
from dogsvscats.model import train_model, load_model, MODELS
from dogsvscats.callbacks import EarlyStopping
from dogsvscats import config
warning... | dogsvscats/train.py | import warnings
import argparse
from torch import optim
from torch.optim import lr_scheduler
from torch.utils.data import DataLoader
from dogsvscats.data import get_datasets
from dogsvscats.model import train_model, load_model, MODELS
from dogsvscats.callbacks import EarlyStopping
from dogsvscats import config
warning... | 0.665628 | 0.220143 |
import fcntl
import os
import os.path
import socket
import tempfile
import time
import warnings
from datetime import datetime
from datetime import timedelta
from tornado.escape import json_encode
from tornado.escape import to_unicode
from tornado.escape import utf8
from tornado.ioloop import IOLoop
from webtiles impo... | crawl-ref/source/webserver/webtiles/connection.py | import fcntl
import os
import os.path
import socket
import tempfile
import time
import warnings
from datetime import datetime
from datetime import timedelta
from tornado.escape import json_encode
from tornado.escape import to_unicode
from tornado.escape import utf8
from tornado.ioloop import IOLoop
from webtiles impo... | 0.224735 | 0.056444 |
import numpy as np
import cv2
from typing import Any, Dict, List, Optional, Type, Union
import gym
import habitat
from habitat.config import Config
from habitat.core.dataset import Dataset, Episode
from habitat.core.simulator import Observations
class ModifiedEnvForVis(habitat.Env):
def reset_to_episode(self, ta... | pointnav_vo/vis/modified_env.py | import numpy as np
import cv2
from typing import Any, Dict, List, Optional, Type, Union
import gym
import habitat
from habitat.config import Config
from habitat.core.dataset import Dataset, Episode
from habitat.core.simulator import Observations
class ModifiedEnvForVis(habitat.Env):
def reset_to_episode(self, ta... | 0.932592 | 0.48182 |
import matplotlib.pyplot as plt
from sklearn.metrics import confusion_matrix
import numpy as np
from matplotlib.colors import LinearSegmentedColormap
def plot_confusion_matrix(y_true, y_pred, classes,
normalize=False,
title=None,
cmap=plt.c... | classifier/utils.py | import matplotlib.pyplot as plt
from sklearn.metrics import confusion_matrix
import numpy as np
from matplotlib.colors import LinearSegmentedColormap
def plot_confusion_matrix(y_true, y_pred, classes,
normalize=False,
title=None,
cmap=plt.c... | 0.935964 | 0.694691 |
"""THOR"""
import numpy as np
from mindspore.ops import functional as F, composite as C, operations as P
from mindspore.common.initializer import initializer
from mindspore.common.parameter import Parameter, ParameterTuple
from mindspore.common.tensor import Tensor
import mindspore.nn as nn
import mindspore.common.dtyp... | mindspore/nn/optim/thor.py | """THOR"""
import numpy as np
from mindspore.ops import functional as F, composite as C, operations as P
from mindspore.common.initializer import initializer
from mindspore.common.parameter import Parameter, ParameterTuple
from mindspore.common.tensor import Tensor
import mindspore.nn as nn
import mindspore.common.dtyp... | 0.862236 | 0.520557 |
from typing import Type
from .abc_listing import ListingBaseClass
from bs4 import BeautifulSoup
from dataclasses import dataclass
@dataclass
class CarListingAdvertiser(ListingBaseClass):
__postendpoint__ = "/advertisers"
__webpageurl__ = "https://www.marktplaats.nl/v/"
name: str = "_"
activity: str =... | scraper/app/models/listings/car_listing_advertiser.py | from typing import Type
from .abc_listing import ListingBaseClass
from bs4 import BeautifulSoup
from dataclasses import dataclass
@dataclass
class CarListingAdvertiser(ListingBaseClass):
__postendpoint__ = "/advertisers"
__webpageurl__ = "https://www.marktplaats.nl/v/"
name: str = "_"
activity: str =... | 0.664976 | 0.091544 |
from __future__ import absolute_import
import socket
import unittest
from threading import Thread
from hl7apy.mllp import MLLPServer, AbstractHandler
from hl7apy.mllp import InvalidHL7Message, UnsupportedMessageType
HOST = 'localhost'
PORT = 2576
INVALID_MESSAGE = 'INVALID MESSAGE'
UNSUPPORTED_MESSAGE = 'INVALID ME... | tests/test_mllp.py |
from __future__ import absolute_import
import socket
import unittest
from threading import Thread
from hl7apy.mllp import MLLPServer, AbstractHandler
from hl7apy.mllp import InvalidHL7Message, UnsupportedMessageType
HOST = 'localhost'
PORT = 2576
INVALID_MESSAGE = 'INVALID MESSAGE'
UNSUPPORTED_MESSAGE = 'INVALID ME... | 0.625552 | 0.161485 |
import asyncio
import json
import fakeredis
import pytest
import tempfile
import os
import rasa.utils.io
from rasa.core import training, restore
from rasa.core import utils
from rasa.core.actions.action import ACTION_LISTEN_NAME
from rasa.core.domain import Domain
from rasa.core.events import (
UserUttered,
A... | tests/core/test_trackers.py | import asyncio
import json
import fakeredis
import pytest
import tempfile
import os
import rasa.utils.io
from rasa.core import training, restore
from rasa.core import utils
from rasa.core.actions.action import ACTION_LISTEN_NAME
from rasa.core.domain import Domain
from rasa.core.events import (
UserUttered,
A... | 0.4917 | 0.25724 |
import copy
from typing import Dict
import torch
import torch.nn as nn
import texar.torch as tx
__all__ = [
"MetaModule",
"TexarBertMetaModule"
]
class MetaModule(nn.ModuleList):
# pylint: disable=line-too-long
r"""A class extending :class:`torch.nn.Module`
that registers the parameters of a :cl... | forte/models/da_rl/magic_model.py | import copy
from typing import Dict
import torch
import torch.nn as nn
import texar.torch as tx
__all__ = [
"MetaModule",
"TexarBertMetaModule"
]
class MetaModule(nn.ModuleList):
# pylint: disable=line-too-long
r"""A class extending :class:`torch.nn.Module`
that registers the parameters of a :cl... | 0.893114 | 0.444324 |
import logging
import re
from contextlib import contextmanager
from functools import wraps
import requests
from zeep import Client
from .services import BaseService
log = logging.getLogger()
def to_snake(name):
s1 = re.sub("(.)([A-Z][a-z]+)", r"\1_\2", name)
return re.sub("([a-z0-9])([A-Z])", r"\1_\2", s1... | pydsec/pydsec.py | import logging
import re
from contextlib import contextmanager
from functools import wraps
import requests
from zeep import Client
from .services import BaseService
log = logging.getLogger()
def to_snake(name):
s1 = re.sub("(.)([A-Z][a-z]+)", r"\1_\2", name)
return re.sub("([a-z0-9])([A-Z])", r"\1_\2", s1... | 0.469763 | 0.054727 |
import argparse
import gym
import ptan
import random
import numpy as np
import torch
import torch.optim as optim
import torch.nn.functional as F
from ignite.engine import Engine
from lib import dqn_extra, dqn_model, epsilon_tracker, hyper_params, utils
def calc_loss(batch, _net, _target_net, gamma, _device="cpu"):... | 2 - Code/210929 - DQN Extensions #2/03 - DQN Categorical.py | import argparse
import gym
import ptan
import random
import numpy as np
import torch
import torch.optim as optim
import torch.nn.functional as F
from ignite.engine import Engine
from lib import dqn_extra, dqn_model, epsilon_tracker, hyper_params, utils
def calc_loss(batch, _net, _target_net, gamma, _device="cpu"):... | 0.746601 | 0.339636 |
import geopandas as gpd
import json
from affine import Affine
from rasterio.windows import Window
from rasterio.vrt import WarpedVRT
from rasterio.enums import Resampling
from rio_tiler.utils import get_vrt_transform, has_alpha_band
from rio_tiler.utils import _requested_tile_aligned_with_internal_tile
def save_empty... | solaris/utils/tile.py | import geopandas as gpd
import json
from affine import Affine
from rasterio.windows import Window
from rasterio.vrt import WarpedVRT
from rasterio.enums import Resampling
from rio_tiler.utils import get_vrt_transform, has_alpha_band
from rio_tiler.utils import _requested_tile_aligned_with_internal_tile
def save_empty... | 0.823364 | 0.267414 |
import collections
import json
from six import string_types
from ..type import (GraphQLEnumType, GraphQLInputObjectType, GraphQLList,
GraphQLNonNull, GraphQLScalarType)
_empty_list = []
def is_valid_value(value, type):
"""Given a type and any value, return True if that value is valid."""
... | graphql/core/utils/is_valid_value.py | import collections
import json
from six import string_types
from ..type import (GraphQLEnumType, GraphQLInputObjectType, GraphQLList,
GraphQLNonNull, GraphQLScalarType)
_empty_list = []
def is_valid_value(value, type):
"""Given a type and any value, return True if that value is valid."""
... | 0.629205 | 0.202266 |
"""Interfaces to all of the Movie objects offered by the Trakt.tv API"""
from collections import namedtuple
from trakt.core import Alias, Comment, Genre, get, delete
from trakt.sync import (Scrobbler, comment, rate, add_to_history,
remove_from_history, add_to_watchlist,
r... | trakt/movies.py | """Interfaces to all of the Movie objects offered by the Trakt.tv API"""
from collections import namedtuple
from trakt.core import Alias, Comment, Genre, get, delete
from trakt.sync import (Scrobbler, comment, rate, add_to_history,
remove_from_history, add_to_watchlist,
r... | 0.822225 | 0.346348 |
"""Tests for the X File System (XFS) file-like object."""
import os
import unittest
from dfvfs.file_io import xfs_file_io
from dfvfs.lib import definitions
from dfvfs.lib import errors
from dfvfs.path import factory as path_spec_factory
from dfvfs.resolver import context
from tests import test_lib as shared_test_lib... | tests/file_io/xfs_file_io.py | """Tests for the X File System (XFS) file-like object."""
import os
import unittest
from dfvfs.file_io import xfs_file_io
from dfvfs.lib import definitions
from dfvfs.lib import errors
from dfvfs.path import factory as path_spec_factory
from dfvfs.resolver import context
from tests import test_lib as shared_test_lib... | 0.563138 | 0.42913 |
import tkinter as tk
import sqlite3
from files import get_current_file, global_db_path
from widgets import Frame, LabelH3, Label, FrameHilited, LabelH2, Button
from custom_combobox_widget import Combobox
from autofill import EntryAuto, EntryAutoHilited
from styles import make_formats_dict
from messages import... | app/python/dates.py |
import tkinter as tk
import sqlite3
from files import get_current_file, global_db_path
from widgets import Frame, LabelH3, Label, FrameHilited, LabelH2, Button
from custom_combobox_widget import Combobox
from autofill import EntryAuto, EntryAutoHilited
from styles import make_formats_dict
from messages import... | 0.514644 | 0.348978 |
import os
from subprocess import PIPE, STDOUT
from mock import Mock
import pytest
from tests.utils import CorrectedCommand, Rule
from theplease import const
from theplease.exceptions import EmptyCommand
from theplease.system import Path
from theplease.types import Command
class TestCorrectedCommand(object):
def... | tests/test_types.py |
import os
from subprocess import PIPE, STDOUT
from mock import Mock
import pytest
from tests.utils import CorrectedCommand, Rule
from theplease import const
from theplease.exceptions import EmptyCommand
from theplease.system import Path
from theplease.types import Command
class TestCorrectedCommand(object):
def... | 0.377311 | 0.289033 |
from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
import mptt.fields
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Page',
fields=[... | ostinato/pages/migrations/0001_initial.py | from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
import mptt.fields
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Page',
fields=[... | 0.613352 | 0.145844 |
import itertools
import time
import flask
from dash import Dash
from dash.dependencies import Input, Output
import dash_html_components as html
import dash_core_components as dcc
from .IntegrationTests import IntegrationTests
from .utils import wait_for
class Tests(IntegrationTests):
def setUp(self):
pa... | tests/test_race_conditions.py | import itertools
import time
import flask
from dash import Dash
from dash.dependencies import Input, Output
import dash_html_components as html
import dash_core_components as dcc
from .IntegrationTests import IntegrationTests
from .utils import wait_for
class Tests(IntegrationTests):
def setUp(self):
pa... | 0.257205 | 0.113727 |
from .tool.func import *
def func_upload_2(conn):
curs = conn.cursor()
if acl_check(None, 'upload') == 1:
return re_error('/ban')
if flask.request.method == 'POST':
if captcha_post(flask.request.form.get('g-recaptcha-response', flask.request.form.get('g-recaptcha', ''))) == 1:
... | route/func_upload.py | from .tool.func import *
def func_upload_2(conn):
curs = conn.cursor()
if acl_check(None, 'upload') == 1:
return re_error('/ban')
if flask.request.method == 'POST':
if captcha_post(flask.request.form.get('g-recaptcha-response', flask.request.form.get('g-recaptcha', ''))) == 1:
... | 0.21036 | 0.083778 |
import vField
import numpy as np
def transformField( field, scale, translate ):
'''Performs a transformation on the domain of a vector field.
@param field An instance of vField.VectorField. This will be changed
IN PLACE.
@param scale A 2-tuple of floats.... | out/xformVectorField.py |
import vField
import numpy as np
def transformField( field, scale, translate ):
'''Performs a transformation on the domain of a vector field.
@param field An instance of vField.VectorField. This will be changed
IN PLACE.
@param scale A 2-tuple of floats.... | 0.548432 | 0.605099 |
import math
import tkinter as tk
from dusted import geom, utils
class LevelView(tk.Canvas):
def __init__(self, parent, level, cursor):
super().__init__(parent, height=0)
self.level = level
self.level.subscribe(self.on_level_change)
self.cursor = cursor
self.cursor.subscr... | dusted/level_view.py | import math
import tkinter as tk
from dusted import geom, utils
class LevelView(tk.Canvas):
def __init__(self, parent, level, cursor):
super().__init__(parent, height=0)
self.level = level
self.level.subscribe(self.on_level_change)
self.cursor = cursor
self.cursor.subscr... | 0.50952 | 0.185762 |
from dataclasses import dataclass
from datetime import datetime
from pathlib import Path
from typing import Tuple
import numpy as np
import pandapower as pp
import pandas as pd
from pandapower.control import ConstControl
from pandapower.timeseries import DFData, OutputWriter, run_timeseries
from tqdm import tqdm
from... | src/simulation/simulation.py | from dataclasses import dataclass
from datetime import datetime
from pathlib import Path
from typing import Tuple
import numpy as np
import pandapower as pp
import pandas as pd
from pandapower.control import ConstControl
from pandapower.timeseries import DFData, OutputWriter, run_timeseries
from tqdm import tqdm
from... | 0.903741 | 0.447158 |
import copy
import itertools
from typing import List, Iterable
relation_mandatory_args = {
"Accident": {"location", "trigger"},
"CanceledRoute": {"location", "trigger"},
"CanceledStop": {"location", "trigger"},
"Delay": {"location", "trigger"},
"Disaster": {"type", "location"},
"Obstruction": {... | spart/util/util.py | import copy
import itertools
from typing import List, Iterable
relation_mandatory_args = {
"Accident": {"location", "trigger"},
"CanceledRoute": {"location", "trigger"},
"CanceledStop": {"location", "trigger"},
"Delay": {"location", "trigger"},
"Disaster": {"type", "location"},
"Obstruction": {... | 0.540924 | 0.265499 |
import pytest
from app.emails import send_email
@pytest.mark.parametrize('sender, config_set_arg, config_set, tags', [
(None, None, '', []),
('<EMAIL>', 'foo', 'foo', [{'Name': 'foo', 'Value': 'foo'}])
])
def test_send_email(test_app, mocker, sender, config_set_arg,
config_set, tags):
"... | tests/unit/test_emails.py | import pytest
from app.emails import send_email
@pytest.mark.parametrize('sender, config_set_arg, config_set, tags', [
(None, None, '', []),
('<EMAIL>', 'foo', 'foo', [{'Name': 'foo', 'Value': 'foo'}])
])
def test_send_email(test_app, mocker, sender, config_set_arg,
config_set, tags):
"... | 0.480235 | 0.186595 |
import unittest
from follower_maze import clients
from tests import factories
from tests import mocks
from tests.helpers import async_test
PAYLOAD1 = b"1"
PAYLOAD2 = b"2"
CLIENT1 = 1
CLIENT2 = 13
CLIENT3 = 87
class TestClientRegistry(unittest.TestCase):
"""
Test ClientRegistry: correct mapping, notifie... | tests/test_client_registry.py | import unittest
from follower_maze import clients
from tests import factories
from tests import mocks
from tests.helpers import async_test
PAYLOAD1 = b"1"
PAYLOAD2 = b"2"
CLIENT1 = 1
CLIENT2 = 13
CLIENT3 = 87
class TestClientRegistry(unittest.TestCase):
"""
Test ClientRegistry: correct mapping, notifie... | 0.429908 | 0.225385 |
import smtplib
import sys
def load_emails(filename):
"""
Load the target email addresses from a file.
"""
emails = []
print('[*] Loading email addresses.')
with open(filename) as f:
for line in f:
line = line.rstrip()
if line.startswith('#'):
co... | smtp_enum.py |
import smtplib
import sys
def load_emails(filename):
"""
Load the target email addresses from a file.
"""
emails = []
print('[*] Loading email addresses.')
with open(filename) as f:
for line in f:
line = line.rstrip()
if line.startswith('#'):
co... | 0.307774 | 0.205097 |
import json
from otcextensions.tests.functional.osclient.nat.v2 import common
class TestSnat(common.NatTestCase):
"""Functional Tests for NAT Gateway"""
def setUp(self):
super(TestSnat, self).setUp()
def test_snat_rule_list(self):
json_output = json.loads(self.openstack(
'n... | otcextensions/tests/functional/osclient/nat/v2/test_snat.py |
import json
from otcextensions.tests.functional.osclient.nat.v2 import common
class TestSnat(common.NatTestCase):
"""Functional Tests for NAT Gateway"""
def setUp(self):
super(TestSnat, self).setUp()
def test_snat_rule_list(self):
json_output = json.loads(self.openstack(
'n... | 0.474875 | 0.225768 |
calls."""
from typing import List, Union
from mythril.disassembler.disassembly import Disassembly
from mythril.laser.ethereum.cfg import Node, Edge, JumpType
from mythril.laser.ethereum.state.calldata import ConcreteCalldata
from mythril.laser.ethereum.state.global_state import GlobalState
from mythril.laser.ethereum.... | mythril/laser/ethereum/transaction/concolic.py | calls."""
from typing import List, Union
from mythril.disassembler.disassembly import Disassembly
from mythril.laser.ethereum.cfg import Node, Edge, JumpType
from mythril.laser.ethereum.state.calldata import ConcreteCalldata
from mythril.laser.ethereum.state.global_state import GlobalState
from mythril.laser.ethereum.... | 0.74872 | 0.295795 |
import sqlite3
from .validations import type_pos_int, type_non_neg_int, expect_in, expect_type, expect_len_range, cast_expect_type
from .shared_exceptions import StatusMessageException
def _process_values(values, processors, column_list, context):
if not values or not processors:
return values
if is... | restomatic/json_sql_compositor.py | import sqlite3
from .validations import type_pos_int, type_non_neg_int, expect_in, expect_type, expect_len_range, cast_expect_type
from .shared_exceptions import StatusMessageException
def _process_values(values, processors, column_list, context):
if not values or not processors:
return values
if is... | 0.485844 | 0.32603 |
from __future__ import print_function
import time
import sys
from GeneticAlgorithm.fitness import assess_chromosome_fitness
from GeneticAlgorithm.genetic_engine import *
import subprocess
import unittest
import logging
from logging import config
image_size = 28
num_labels = 10
img_rows = 28
img_cols = 28
def unp... | examples/MNIST.py | from __future__ import print_function
import time
import sys
from GeneticAlgorithm.fitness import assess_chromosome_fitness
from GeneticAlgorithm.genetic_engine import *
import subprocess
import unittest
import logging
from logging import config
image_size = 28
num_labels = 10
img_rows = 28
img_cols = 28
def unp... | 0.474631 | 0.403449 |
from telethon.sync import TelegramClient
from telethon.tl.types import InputPeerChannel
from telethon.errors.rpcerrorlist import PeerFloodError, UserPrivacyRestrictedError, PhoneNumberBannedError, ChatAdminRequiredError
from telethon.errors.rpcerrorlist import ChatWriteForbiddenError, UserBannedInChannelError, UserA... | start.py | from telethon.sync import TelegramClient
from telethon.tl.types import InputPeerChannel
from telethon.errors.rpcerrorlist import PeerFloodError, UserPrivacyRestrictedError, PhoneNumberBannedError, ChatAdminRequiredError
from telethon.errors.rpcerrorlist import ChatWriteForbiddenError, UserBannedInChannelError, UserA... | 0.123683 | 0.046141 |
import json
import platform
import warnings
import requests
from . import __version__, exceptions, models, API_CONFIG, DEFAULT_API_VERSION, DEFAULT_API_ENDPOINT
class SearchFilters:
"""Simple class to hold search filter constants."""
SYMPTOMS = "symptom"
RISK_FACTORS = "risk_factor"
LAB_TESTS = "lab... | infermedica_api/webservice.py | import json
import platform
import warnings
import requests
from . import __version__, exceptions, models, API_CONFIG, DEFAULT_API_VERSION, DEFAULT_API_ENDPOINT
class SearchFilters:
"""Simple class to hold search filter constants."""
SYMPTOMS = "symptom"
RISK_FACTORS = "risk_factor"
LAB_TESTS = "lab... | 0.768646 | 0.111822 |
import asyncio
import pathlib
from pathlib import Path
from typing import Dict, List, Optional, Union, cast
from playwright._impl._api_structures import (
Geolocation,
HttpCredentials,
ProxySettings,
ViewportSize,
)
from playwright._impl._api_types import Error
from playwright._impl._browser import Br... | playwright/_impl/_browser_type.py |
import asyncio
import pathlib
from pathlib import Path
from typing import Dict, List, Optional, Union, cast
from playwright._impl._api_structures import (
Geolocation,
HttpCredentials,
ProxySettings,
ViewportSize,
)
from playwright._impl._api_types import Error
from playwright._impl._browser import Br... | 0.794026 | 0.124559 |
import argparse
import os
import numpy as np
import tensorflow as tf
from PIL import Image
from matplotlib import pyplot as plt
from tensorflow import keras
from data import dateset_fashion_mnist
from model import VAE
parser = argparse.ArgumentParser()
parser.add_argument('--auther', help='inner batch size', default... | VaritionalAutoEncoders.py | import argparse
import os
import numpy as np
import tensorflow as tf
from PIL import Image
from matplotlib import pyplot as plt
from tensorflow import keras
from data import dateset_fashion_mnist
from model import VAE
parser = argparse.ArgumentParser()
parser.add_argument('--auther', help='inner batch size', default... | 0.748536 | 0.370795 |
import re
import os
from fabkit import api, run, sudo, filer, env, user
from fablib import git
from fablib.base import SimpleBase
class Python(SimpleBase):
def __init__(self, prefix='/usr'):
self.prefix = prefix
self.packages = {
'CentOS Linux 7.*': [
'python-devel',
... | __init__.py |
import re
import os
from fabkit import api, run, sudo, filer, env, user
from fablib import git
from fablib.base import SimpleBase
class Python(SimpleBase):
def __init__(self, prefix='/usr'):
self.prefix = prefix
self.packages = {
'CentOS Linux 7.*': [
'python-devel',
... | 0.246624 | 0.067209 |
from soa import token
EOF_CHAR = chr(0)
class Lexer():
"Lexer is the main class for lexing"
def __init__(self, input_text):
self.input_text = input_text + EOF_CHAR
self.pos = 0
self.buffer = []
self.tokens = []
def next_char(self):
"next moves the position over and... | py/soa/lexer.py | from soa import token
EOF_CHAR = chr(0)
class Lexer():
"Lexer is the main class for lexing"
def __init__(self, input_text):
self.input_text = input_text + EOF_CHAR
self.pos = 0
self.buffer = []
self.tokens = []
def next_char(self):
"next moves the position over and... | 0.709221 | 0.448245 |
import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt
from analysis.util import stimulus_names
from sklearn.decomposition import PCA
def stretch_axes(points):
"""
Run PCA.
Stretch axes so as to make the variance along each axis the same.
Do so by dividing the values of the coordinat... | analysis/perceptual_space_visualizations.py | import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt
from analysis.util import stimulus_names
from sklearn.decomposition import PCA
def stretch_axes(points):
"""
Run PCA.
Stretch axes so as to make the variance along each axis the same.
Do so by dividing the values of the coordinat... | 0.724968 | 0.625324 |
import torch
from tqdm import tqdm
import torch.nn as nn
import torch.nn.functional as F
def evaluate_pose(x, att):
# x: B3N, att: B1KN1
# ts: B3k1
pai = att.sum(dim=3, keepdim=True) # B1K11
att = att / torch.clamp(pai, min=1e-3)
ts = torch.sum(
att * x[:, :, None, :, None], ... | loss_util.py | import torch
from tqdm import tqdm
import torch.nn as nn
import torch.nn.functional as F
def evaluate_pose(x, att):
# x: B3N, att: B1KN1
# ts: B3k1
pai = att.sum(dim=3, keepdim=True) # B1K11
att = att / torch.clamp(pai, min=1e-3)
ts = torch.sum(
att * x[:, :, None, :, None], ... | 0.539469 | 0.569254 |
from types import TracebackType
from typing import Any, Optional, Type
from scrapli.channel import Channel
from scrapli.driver.base_driver import ASYNCIO_TRANSPORTS, ScrapeBase
from scrapli.exceptions import TransportPluginError
class Scrape(ScrapeBase):
def __init__(self, **kwargs: Any) -> None:
"""
... | venv/Lib/site-packages/scrapli/driver/driver.py | from types import TracebackType
from typing import Any, Optional, Type
from scrapli.channel import Channel
from scrapli.driver.base_driver import ASYNCIO_TRANSPORTS, ScrapeBase
from scrapli.exceptions import TransportPluginError
class Scrape(ScrapeBase):
def __init__(self, **kwargs: Any) -> None:
"""
... | 0.902889 | 0.193814 |
from dlflow.mgr import model, config
from dlflow.models import ModelBase
import tensorflow as tf
class _Embedding(tf.keras.layers.Layer):
def __init__(self, input_dim, output_dim):
super(_Embedding, self).__init__()
self.input_dim = input_dim
self.output_dim = output_dim
def build(se... | dlflow/models/internal/DNNBinaryClassifier.py | from dlflow.mgr import model, config
from dlflow.models import ModelBase
import tensorflow as tf
class _Embedding(tf.keras.layers.Layer):
def __init__(self, input_dim, output_dim):
super(_Embedding, self).__init__()
self.input_dim = input_dim
self.output_dim = output_dim
def build(se... | 0.922024 | 0.371707 |
from armstrong.dev.tests.utils.backports import override_settings
from django.conf import settings
from django.core.urlresolvers import reverse
from django.http import HttpResponseRedirect
from django.template.response import TemplateResponse
from django.test.client import Client
from functools import wraps
import fudg... | armstrong/apps/donations/tests/views.py | from armstrong.dev.tests.utils.backports import override_settings
from django.conf import settings
from django.core.urlresolvers import reverse
from django.http import HttpResponseRedirect
from django.template.response import TemplateResponse
from django.test.client import Client
from functools import wraps
import fudg... | 0.340924 | 0.185228 |
from contact import Contact
def create_contact(fname,lname,phone,email):
'''
Function to create a new contact
'''
new_contact = Contact(fname,lname,phone,email)
return new_contact
def save_contacts(contact):
'''
Function to save contact
'''
contact.save_contact()
def del_contact(co... | run.py | from contact import Contact
def create_contact(fname,lname,phone,email):
'''
Function to create a new contact
'''
new_contact = Contact(fname,lname,phone,email)
return new_contact
def save_contacts(contact):
'''
Function to save contact
'''
contact.save_contact()
def del_contact(co... | 0.300335 | 0.118615 |
from __future__ import print_function
import argparse
import os
import random
import numpy as np
import torch
import torch.nn as nn
import torch.nn.parallel
import torch.optim as optim
import torch.utils.data
import torchvision.datasets as dset
import torchvision.transforms as transforms
import torchvision.utils as vut... | train_segmentation.py | from __future__ import print_function
import argparse
import os
import random
import numpy as np
import torch
import torch.nn as nn
import torch.nn.parallel
import torch.optim as optim
import torch.utils.data
import torchvision.datasets as dset
import torchvision.transforms as transforms
import torchvision.utils as vut... | 0.53777 | 0.249493 |
import os
import matplotlib.pyplot as plt
from matplotlib.ticker import FormatStrFormatter
import numpy as np
import pandas as pd
from scipy import exp
from scipy.linalg import eigh
from scipy.spatial.distance import (
pdist,
squareform,
)
from sklearn.cross_validation import train_test_split
from sklearn.data... | chapter_5.py | import os
import matplotlib.pyplot as plt
from matplotlib.ticker import FormatStrFormatter
import numpy as np
import pandas as pd
from scipy import exp
from scipy.linalg import eigh
from scipy.spatial.distance import (
pdist,
squareform,
)
from sklearn.cross_validation import train_test_split
from sklearn.data... | 0.586641 | 0.528412 |
# Standard libraries
import os
import sys
import logging
import inspect
import hashlib
from pathlib import Path
from multiprocessing import cpu_count, Pool
# Third party libraries
import joblib
import numpy as np
import pandas as pd
# User defined libraries
from .file import mkdir
class ProgressBar:
def __ini... | tabular_buddy/utils/helper.py |
# Standard libraries
import os
import sys
import logging
import inspect
import hashlib
from pathlib import Path
from multiprocessing import cpu_count, Pool
# Third party libraries
import joblib
import numpy as np
import pandas as pd
# User defined libraries
from .file import mkdir
class ProgressBar:
def __ini... | 0.366817 | 0.120051 |
from tkinter import Toplevel, Frame, BOTH
from tkinter.scrolledtext import ScrolledText
from io import StringIO
import re
import sys
import traceback
class DebugConsole:
def __init__(self, root, title='', locals={}, destroy=None):
self.root = Toplevel(root)
self.root.wm_title("Debug console")
... | fitter/gui/debugConsole.py | from tkinter import Toplevel, Frame, BOTH
from tkinter.scrolledtext import ScrolledText
from io import StringIO
import re
import sys
import traceback
class DebugConsole:
def __init__(self, root, title='', locals={}, destroy=None):
self.root = Toplevel(root)
self.root.wm_title("Debug console")
... | 0.218169 | 0.081849 |
import os
import sys
from pathlib import Path
import json
# Linking params
# Global vars for linking and their default values
LINKABLE_FILES_EXTENSION = ".js"
OUTPUT_FILE = "../main.js"
LINKING_MAP_FILE = "default_linked_dirs.json"
LINKING_FOR_FINAL_FILES = False
def linker():
printHeader()
toLinkAccording... | linker.py | import os
import sys
from pathlib import Path
import json
# Linking params
# Global vars for linking and their default values
LINKABLE_FILES_EXTENSION = ".js"
OUTPUT_FILE = "../main.js"
LINKING_MAP_FILE = "default_linked_dirs.json"
LINKING_FOR_FINAL_FILES = False
def linker():
printHeader()
toLinkAccording... | 0.04691 | 0.050611 |
from server import utils
from server import cache
import requests
import config
class General:
@classmethod
@cache.memoize(timeout=config.cache)
def _calc_supply(cls, height):
snapshot = 443863973624633
supply = 0
for height in range(0, height + 1):
supply += utils.rewa... | server/methods/general.py | from server import utils
from server import cache
import requests
import config
class General:
@classmethod
@cache.memoize(timeout=config.cache)
def _calc_supply(cls, height):
snapshot = 443863973624633
supply = 0
for height in range(0, height + 1):
supply += utils.rewa... | 0.496094 | 0.139309 |
import os
import argparse
def get_cmd(task, sub_task, model_tag, gpu, data_num, bs, lr, source_length, target_length, patience, epoch, warmup,
gpu_type, res_fn):
cmd_str = 'bash exp_with_args.sh %s %s %s %d %d %d %d %d %d %d %d %d %s %s' % \
(task, sub_task, model_tag, gpu, data_num, bs... | sh/run_exp.py | import os
import argparse
def get_cmd(task, sub_task, model_tag, gpu, data_num, bs, lr, source_length, target_length, patience, epoch, warmup,
gpu_type, res_fn):
cmd_str = 'bash exp_with_args.sh %s %s %s %d %d %d %d %d %d %d %d %d %s %s' % \
(task, sub_task, model_tag, gpu, data_num, bs... | 0.404743 | 0.364156 |
from __future__ import annotations
import re
from typing import Callable, ClassVar, List, Optional, Pattern, Sequence, Tuple, Union, cast
import discord
from discord.ext import commands
_ID_RE = re.compile(r"([0-9]{15,20})$")
_USER_MENTION_RE = re.compile(r"<@!?([0-9]{15,20})>$")
_CHAN_MENTION_RE = re.compile(r"<#([... | bot/utils/predicates.py | from __future__ import annotations
import re
from typing import Callable, ClassVar, List, Optional, Pattern, Sequence, Tuple, Union, cast
import discord
from discord.ext import commands
_ID_RE = re.compile(r"([0-9]{15,20})$")
_USER_MENTION_RE = re.compile(r"<@!?([0-9]{15,20})>$")
_CHAN_MENTION_RE = re.compile(r"<#([... | 0.934005 | 0.281963 |
from __future__ import absolute_import
from sentry.models.projectoption import ProjectOption
from sentry.testutils import TestCase
from sentry.utils.safe import set_path
from sentry.message_filters import (
_localhost_filter, _browser_extensions_filter, _web_crawlers_filter,
_legacy_browsers_filter,
)
class ... | tests/integration/test_message_filters.py | from __future__ import absolute_import
from sentry.models.projectoption import ProjectOption
from sentry.testutils import TestCase
from sentry.utils.safe import set_path
from sentry.message_filters import (
_localhost_filter, _browser_extensions_filter, _web_crawlers_filter,
_legacy_browsers_filter,
)
class ... | 0.659295 | 0.139045 |
"""Compare environment variables snapshot with expected and detect changes
"""
import argparse
import difflib
import logging
import pathlib
import re
import os
import sys
import typing
import uuid
def normalize_env_variables(variables: typing.Dict[str, str]) -> typing.Dict[str, str]:
"""Cleanup environment variab... | tests/resources/environment_vars/env_vars_changes_compare.py | """Compare environment variables snapshot with expected and detect changes
"""
import argparse
import difflib
import logging
import pathlib
import re
import os
import sys
import typing
import uuid
def normalize_env_variables(variables: typing.Dict[str, str]) -> typing.Dict[str, str]:
"""Cleanup environment variab... | 0.500488 | 0.37935 |
import torchvision_sunner.transforms as sunnertransforms
import torchvision_sunner.data as sunnerData
import torchvision.transforms as transforms
from tensorboardX import SummaryWriter
from networks_stylegan import StyleGenerator, StyleDiscriminator
from loss import gradient_penalty, R1Penalty, R2Penalty
from opts i... | train_stylegan.py |
import torchvision_sunner.transforms as sunnertransforms
import torchvision_sunner.data as sunnerData
import torchvision.transforms as transforms
from tensorboardX import SummaryWriter
from networks_stylegan import StyleGenerator, StyleDiscriminator
from loss import gradient_penalty, R1Penalty, R2Penalty
from opts i... | 0.729327 | 0.346044 |
from collections import defaultdict
from chroma_core.services.job_scheduler.job_scheduler_client import JobSchedulerClient
from django.db.models import Q
from chroma_core.models import ManagedFilesystem, ManagedTarget
from chroma_core.models import ManagedOst, ManagedMdt, ManagedMgs
from chroma_core.models import Vo... | chroma-manager/chroma_api/filesystem.py |
from collections import defaultdict
from chroma_core.services.job_scheduler.job_scheduler_client import JobSchedulerClient
from django.db.models import Q
from chroma_core.models import ManagedFilesystem, ManagedTarget
from chroma_core.models import ManagedOst, ManagedMdt, ManagedMgs
from chroma_core.models import Vo... | 0.501221 | 0.124452 |
import requests
from bs4 import BeautifulSoup as bs
from itertools import chain, filterfalse
langs = {'python': ['(py)', '(pypy)', '(py3)'],
'ruby': ['(rb)']}
def get_pids(maxpage=17):
""" gatter problem ids and return it one by one """
baseurl = 'https://algospot.com/judge/problem/list/%d'
for... | hard-gists/ef9e5c352e54769c4d43/snippet.py | import requests
from bs4 import BeautifulSoup as bs
from itertools import chain, filterfalse
langs = {'python': ['(py)', '(pypy)', '(py3)'],
'ruby': ['(rb)']}
def get_pids(maxpage=17):
""" gatter problem ids and return it one by one """
baseurl = 'https://algospot.com/judge/problem/list/%d'
for... | 0.435421 | 0.119254 |
import json
import pathlib
import re as regex
from abc import ABC, abstractmethod
from typing import List, Optional
import requests
import semver
import cpo.utils.process
from cpo.config import configuration_manager
from cpo.lib.error import DataGateCLIException
class AbstractDependencyManagerPlugIn(ABC):
""... | cpo/lib/dependency_manager/dependency_manager_plugin.py |
import json
import pathlib
import re as regex
from abc import ABC, abstractmethod
from typing import List, Optional
import requests
import semver
import cpo.utils.process
from cpo.config import configuration_manager
from cpo.lib.error import DataGateCLIException
class AbstractDependencyManagerPlugIn(ABC):
""... | 0.900115 | 0.340787 |
from pathlib import Path
from typing import Mapping, Optional
from hamcrest import (
assert_that,
contains,
equal_to,
is_,
)
from microcosm_sagemaker.testing.bytes_extractor import ExtractorMatcherPair
def _identity(x):
return x
def _is_hidden(path: Path) -> bool:
return path.name.startswi... | microcosm_sagemaker/testing/directory_comparison.py | from pathlib import Path
from typing import Mapping, Optional
from hamcrest import (
assert_that,
contains,
equal_to,
is_,
)
from microcosm_sagemaker.testing.bytes_extractor import ExtractorMatcherPair
def _identity(x):
return x
def _is_hidden(path: Path) -> bool:
return path.name.startswi... | 0.92095 | 0.460956 |
import os
import sys
import pexpect
def close_benchmark(benchmark):
benchmark.expect(pexpect.EOF, timeout=None)
benchmark.close()
def check_exit_status(benchmark):
if benchmark.exitstatus != 0 or benchmark.signalstatus is not None:
print(
"Benchmark failed with exit status "
... | scripts/test/hyriseBenchmarkCore.py | import os
import sys
import pexpect
def close_benchmark(benchmark):
benchmark.expect(pexpect.EOF, timeout=None)
benchmark.close()
def check_exit_status(benchmark):
if benchmark.exitstatus != 0 or benchmark.signalstatus is not None:
print(
"Benchmark failed with exit status "
... | 0.189896 | 0.128963 |
from telethon.tl import functions
from telethon.tl.types import MessageEntityMentionName
from . import *
@bot.on(phoenix_cmd(pattern="create (b|g|c) (.*)")) # pylint:disable=E0602
@bot.on(sudo_cmd(pattern="create (b|g|c) (.*)", allow_sudo=True))
async def _(event):
if event.fwd_from:
return
type_of_... | Phoenix/plugins/create.py | from telethon.tl import functions
from telethon.tl.types import MessageEntityMentionName
from . import *
@bot.on(phoenix_cmd(pattern="create (b|g|c) (.*)")) # pylint:disable=E0602
@bot.on(sudo_cmd(pattern="create (b|g|c) (.*)", allow_sudo=True))
async def _(event):
if event.fwd_from:
return
type_of_... | 0.421195 | 0.136234 |
import logging
import os
import pyauto_media
import pyauto
# HTML test path; relative to src/chrome/test/data.
_TEST_HTML_PATH = os.path.join('media', 'html', 'media_basic_playback.html')
# Test videos to play. TODO(dalecurtis): Convert to text matrix parser when we
# have more test videos in the matrix. Code alr... | chrome/test/functional/media/media_basic_playback.py | import logging
import os
import pyauto_media
import pyauto
# HTML test path; relative to src/chrome/test/data.
_TEST_HTML_PATH = os.path.join('media', 'html', 'media_basic_playback.html')
# Test videos to play. TODO(dalecurtis): Convert to text matrix parser when we
# have more test videos in the matrix. Code alr... | 0.375936 | 0.427815 |
import pprint
import re # noqa: F401
import six
from hubspot.crm.schemas.configuration import Configuration
class ModelProperty(object):
"""NOTE: This class is auto generated by OpenAPI Generator.
Ref: https://openapi-generator.tech
Do not edit the class manually.
"""
"""
Attributes:
... | hubspot/crm/schemas/models/model_property.py | import pprint
import re # noqa: F401
import six
from hubspot.crm.schemas.configuration import Configuration
class ModelProperty(object):
"""NOTE: This class is auto generated by OpenAPI Generator.
Ref: https://openapi-generator.tech
Do not edit the class manually.
"""
"""
Attributes:
... | 0.690872 | 0.195613 |
import copy
import os
import unittest
from collections import OrderedDict
from conans import tools
from conans.client.client_cache import ClientCache
from conans.client.conf.detect import detect_defaults_settings
from conans.paths import CONANFILE_TXT
from conans.test.utils.test_files import temp_folder
from conans.te... | conans/test/integration/conf_default_settings_test.py | import copy
import os
import unittest
from collections import OrderedDict
from conans import tools
from conans.client.client_cache import ClientCache
from conans.client.conf.detect import detect_defaults_settings
from conans.paths import CONANFILE_TXT
from conans.test.utils.test_files import temp_folder
from conans.te... | 0.457621 | 0.185062 |
from __future__ import unicode_literals
from collections import OrderedDict
from datetime import datetime, timedelta
from dateutil import rrule
from flask import flash, jsonify, request, session
from werkzeug.exceptions import BadRequest
from indico.modules.events.cloning import EventCloner
from indico.modules.even... | indico/modules/events/management/controllers/cloning.py |
from __future__ import unicode_literals
from collections import OrderedDict
from datetime import datetime, timedelta
from dateutil import rrule
from flask import flash, jsonify, request, session
from werkzeug.exceptions import BadRequest
from indico.modules.events.cloning import EventCloner
from indico.modules.even... | 0.696165 | 0.165357 |
import os
try:
__IPYTHON__
import sys
del sys.argv[1:]
except:
pass
import srwl_bl
import srwlib
import srwlpy
import srwl_uti_smp
def set_optics(v=None):
el = []
pp = []
names = ['MOAT_1', 'MOAT_1_MOAT_2', 'MOAT_2', 'MOAT_2_HFM', 'HFM', 'HFM_VFM', 'VFM', 'VFM_VDM', 'VDM', 'VDM_SSA', 'SS... | tests/template/srw_generate_data/nsls-ii-smi-beamline.py | import os
try:
__IPYTHON__
import sys
del sys.argv[1:]
except:
pass
import srwl_bl
import srwlib
import srwlpy
import srwl_uti_smp
def set_optics(v=None):
el = []
pp = []
names = ['MOAT_1', 'MOAT_1_MOAT_2', 'MOAT_2', 'MOAT_2_HFM', 'HFM', 'HFM_VFM', 'VFM', 'VFM_VDM', 'VDM', 'VDM_SSA', 'SS... | 0.158142 | 0.222025 |
from __future__ import unicode_literals
import posixpath
from uuid import uuid4
from sqlalchemy.dialects.postgresql import JSONB, UUID
from indico.core.config import config
from indico.core.db import db
from indico.core.storage import StoredFileMixin
from indico.util.fs import secure_filename
from indico.util.strin... | indico/modules/files/models/files.py |
from __future__ import unicode_literals
import posixpath
from uuid import uuid4
from sqlalchemy.dialects.postgresql import JSONB, UUID
from indico.core.config import config
from indico.core.db import db
from indico.core.storage import StoredFileMixin
from indico.util.fs import secure_filename
from indico.util.strin... | 0.552057 | 0.095013 |
import unittest
from openprocurement.archivarius.tenders.tests.base import BaseTenderArchivariusWebTest
class TenderArchivariusResourceTest(BaseTenderArchivariusWebTest):
def test_dump_tender_invalid(self):
response = self.app.get('/tenders/some_id/dump', status=404)
self.assertEqual(response.sta... | openprocurement/archivarius/tenders/tests/dump.py | import unittest
from openprocurement.archivarius.tenders.tests.base import BaseTenderArchivariusWebTest
class TenderArchivariusResourceTest(BaseTenderArchivariusWebTest):
def test_dump_tender_invalid(self):
response = self.app.get('/tenders/some_id/dump', status=404)
self.assertEqual(response.sta... | 0.413004 | 0.280173 |
from __future__ import absolute_import
from oci._vendor import requests # noqa: F401
from oci._vendor import six
from oci import retry # noqa: F401
from oci.base_client import BaseClient
from oci.config import get_config_value_or_default, validate_config
from oci.signer import Signer
from oci.util import Sentinel
... | darling_ansible/python_venv/lib/python3.7/site-packages/oci/data_flow/data_flow_client.py |
from __future__ import absolute_import
from oci._vendor import requests # noqa: F401
from oci._vendor import six
from oci import retry # noqa: F401
from oci.base_client import BaseClient
from oci.config import get_config_value_or_default, validate_config
from oci.signer import Signer
from oci.util import Sentinel
... | 0.86977 | 0.272999 |