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 copy
import json
import logging
import os
import sys
from io import open
logger = logging.getLogger(__name__)
CONFIG_NAME = "config.json"
class PretrainedConfig(object):
pretrained_config_archive_map = {}
def __init__(self, **kwargs):
pass
def save_pretrained(self, sav... | finetune/configuration_bert.py | import copy
import json
import logging
import os
import sys
from io import open
logger = logging.getLogger(__name__)
CONFIG_NAME = "config.json"
class PretrainedConfig(object):
pretrained_config_archive_map = {}
def __init__(self, **kwargs):
pass
def save_pretrained(self, sav... | 0.688573 | 0.183301 |
from enum import unique
from django.db import transaction
from .models import Teacher, Student, Assignment, AssignmentCompleted, Classroom
from rest_framework import serializers
class TeacherSerializer(serializers.ModelSerializer):
id = serializers.HyperlinkedRelatedField(
view_name="teacher-detail", rea... | assignments/serializers.py | from enum import unique
from django.db import transaction
from .models import Teacher, Student, Assignment, AssignmentCompleted, Classroom
from rest_framework import serializers
class TeacherSerializer(serializers.ModelSerializer):
id = serializers.HyperlinkedRelatedField(
view_name="teacher-detail", rea... | 0.722429 | 0.19112 |
import subprocess
import os
from db_handler import DBHandler, DataHandler
from defs import *
import util_functions
from file_scanner import FileScanner
import sys
import argparse
from csv import DictReader
def main():
try:
data_handler: DataHandler = DBHandler()
checker: Checker = Checker(data_han... | src/checker.py | import subprocess
import os
from db_handler import DBHandler, DataHandler
from defs import *
import util_functions
from file_scanner import FileScanner
import sys
import argparse
from csv import DictReader
def main():
try:
data_handler: DataHandler = DBHandler()
checker: Checker = Checker(data_han... | 0.476823 | 0.128443 |
import itertools
import uuid
import functools
from django.contrib.gis import geos
from django.contrib.gis.db import models
from django.db.models import Q
from django.utils.translation import ugettext_lazy as _, get_language
from django.contrib.sites.models import Site
from services.meta import TranslatableModel
from ... | regions/models.py | import itertools
import uuid
import functools
from django.contrib.gis import geos
from django.contrib.gis.db import models
from django.db.models import Q
from django.utils.translation import ugettext_lazy as _, get_language
from django.contrib.sites.models import Site
from services.meta import TranslatableModel
from ... | 0.461017 | 0.228759 |
import ROOT
import itertools
import Analysis
import AnalysisHelpers as AH
import Constants
#======================================================================
class WZAnalysis(Analysis.Analysis):
"""Analysis searching for the pair production of WZ with both boson decaying to leptons"""
def __init__(... | atlas-outreach-data-tools-framework-1.1/Analysis/WZAnalysis.py | import ROOT
import itertools
import Analysis
import AnalysisHelpers as AH
import Constants
#======================================================================
class WZAnalysis(Analysis.Analysis):
"""Analysis searching for the pair production of WZ with both boson decaying to leptons"""
def __init__(... | 0.458349 | 0.17259 |
import torch, os, time, random, generator, discri, classify, utils
import numpy as np
import torch.nn as nn
import torchvision.utils as tvls
import torch.nn.functional as F
from utils import log_sum_exp, save_tensor_images
from torch.autograd import Variable
import torch.optim as optim
import torch.autograd as autograd... | multi-target/attack_multi_targets.py | import torch, os, time, random, generator, discri, classify, utils
import numpy as np
import torch.nn as nn
import torchvision.utils as tvls
import torch.nn.functional as F
from utils import log_sum_exp, save_tensor_images
from torch.autograd import Variable
import torch.optim as optim
import torch.autograd as autograd... | 0.672439 | 0.444203 |
from PYB11Generator import *
from SolidSPHHydroBase import *
from RestartMethods import *
@PYB11template() # Override the fact SolidSPHHydroBase is templated
@PYB11template_dict({"Dimension" : "Dim<2>"})
@PYB11module("SpheralSPH")
class SolidSPHHydroBaseRZ(SolidSPHHydroBase):
PYB11typedefs = """
type... | src/Pybind11Wraps/SPH/SolidSPHHydroBaseRZ.py | from PYB11Generator import *
from SolidSPHHydroBase import *
from RestartMethods import *
@PYB11template() # Override the fact SolidSPHHydroBase is templated
@PYB11template_dict({"Dimension" : "Dim<2>"})
@PYB11module("SpheralSPH")
class SolidSPHHydroBaseRZ(SolidSPHHydroBase):
PYB11typedefs = """
type... | 0.770724 | 0.376136 |
import time
import json
import os
# Application imports
from ism.core.base_action import BaseAction
class ActionIoFileOutbound(BaseAction):
"""Scan the messages table in the control DB for
outbound messages and create an outbound file if any found.
MSG Format:
CREATE TABLE messages (
... | ism_comms/file/actions/action_io_file_outbound.py | import time
import json
import os
# Application imports
from ism.core.base_action import BaseAction
class ActionIoFileOutbound(BaseAction):
"""Scan the messages table in the control DB for
outbound messages and create an outbound file if any found.
MSG Format:
CREATE TABLE messages (
... | 0.448426 | 0.09709 |
#### Libraries
# Standard library
import cPickle
import gzip
# Third-party libraries
import numpy as np
import theano
import theano.tensor as T
from theano.tensor.nnet import conv
from theano.tensor.nnet import softmax
from theano.tensor import shared_randomstreams
from theano.tensor.signal import downsample
# Activ... | src/network3.py | #### Libraries
# Standard library
import cPickle
import gzip
# Third-party libraries
import numpy as np
import theano
import theano.tensor as T
from theano.tensor.nnet import conv
from theano.tensor.nnet import softmax
from theano.tensor import shared_randomstreams
from theano.tensor.signal import downsample
# Activ... | 0.769427 | 0.444384 |
import unittest
import units.area.square_miles
class TestSquareMilesMethods(unittest.TestCase):
def test_convert_known_square_miles_to_square_kilometres(self):
self.assertAlmostEqual(7.76996, units.area.square_miles.to_square_kilometres(3.0), places=1)
self.assertAlmostEqual(2.33099, units.area.square_miles.to_... | tests/test_area_square_miles.py |
import unittest
import units.area.square_miles
class TestSquareMilesMethods(unittest.TestCase):
def test_convert_known_square_miles_to_square_kilometres(self):
self.assertAlmostEqual(7.76996, units.area.square_miles.to_square_kilometres(3.0), places=1)
self.assertAlmostEqual(2.33099, units.area.square_miles.to_... | 0.712332 | 0.835215 |
from typing import TYPE_CHECKING, Callable, Dict, Iterable, Optional, Sequence, Tuple, Union
import torch
from torch.utils.data import DataLoader
from monai.engines.utils import CommonKeys as Keys
from monai.engines.utils import IterationEvents, default_prepare_batch
from monai.engines.workflow import Workflow
from ... | monai/engines/evaluator.py |
from typing import TYPE_CHECKING, Callable, Dict, Iterable, Optional, Sequence, Tuple, Union
import torch
from torch.utils.data import DataLoader
from monai.engines.utils import CommonKeys as Keys
from monai.engines.utils import IterationEvents, default_prepare_batch
from monai.engines.workflow import Workflow
from ... | 0.972663 | 0.44083 |
import sys
import subprocess
import datetime
import os
import time
import numpy as np
sys.path.insert(0, 'imports')
from imports import ffmpeg_installer
from imports import gce_utils
CODEC_TO_USE = 'libx264'
PARAMETERS_BUCKET = 'livepeer-qoe-renditions-params'
SOURCES_BUCKET = 'livepeer-qoe-sources'
RENDITIONS_B... | feature_engineering/cloud_functions/qoe_dataset_generator_http/main.py | import sys
import subprocess
import datetime
import os
import time
import numpy as np
sys.path.insert(0, 'imports')
from imports import ffmpeg_installer
from imports import gce_utils
CODEC_TO_USE = 'libx264'
PARAMETERS_BUCKET = 'livepeer-qoe-renditions-params'
SOURCES_BUCKET = 'livepeer-qoe-sources'
RENDITIONS_B... | 0.582254 | 0.126947 |
"""Contains Loss Scale Gradient Tape."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.python.distribute import distribution_strategy_context
from tensorflow.python.eager import backprop
from tensorflow.python.ops import control_flow_ops
f... | tensorflow/python/training/experimental/loss_scaling_gradient_tape.py | """Contains Loss Scale Gradient Tape."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.python.distribute import distribution_strategy_context
from tensorflow.python.eager import backprop
from tensorflow.python.ops import control_flow_ops
f... | 0.903342 | 0.763484 |
from collections import OrderedDict
from devito.ir.iet import (Iteration, List, IterationTree, FindSections, FindSymbols,
FindNodes, Section, Expression)
from devito.symbolics import Macro
from devito.tools import flatten, ReducerMap
from devito.types import Array, LocalObject
__all__ = ['f... | devito/ir/iet/utils.py | from collections import OrderedDict
from devito.ir.iet import (Iteration, List, IterationTree, FindSections, FindSymbols,
FindNodes, Section, Expression)
from devito.symbolics import Macro
from devito.tools import flatten, ReducerMap
from devito.types import Array, LocalObject
__all__ = ['f... | 0.91331 | 0.592814 |
import csv
import os
def csv_iterator(filename):
with open('tests/test.csv', 'r', newline='', encoding='utf-8') as fin:
yield from enumerate(csv.reader(fin))
def is_line_empty(line):
''' Is the line a comment, or consists solely of empty cells? '''
if not line:
return True
if line[0].s... | grable/spreadsheets.py | import csv
import os
def csv_iterator(filename):
with open('tests/test.csv', 'r', newline='', encoding='utf-8') as fin:
yield from enumerate(csv.reader(fin))
def is_line_empty(line):
''' Is the line a comment, or consists solely of empty cells? '''
if not line:
return True
if line[0].s... | 0.398406 | 0.268144 |
import inspect
from robot.utils import normalize, unic
def LibraryScope(libcode, library):
scope = _get_scope(libcode)
if scope == 'global':
return GlobalScope(library)
if scope == 'testsuite':
return TestSuiteScope(library)
return TestCaseScope(library)
def _get_scope(libcode):
... | API/src/main/resources/Lib/robot/running/libraryscopes.py |
import inspect
from robot.utils import normalize, unic
def LibraryScope(libcode, library):
scope = _get_scope(libcode)
if scope == 'global':
return GlobalScope(library)
if scope == 'testsuite':
return TestSuiteScope(library)
return TestCaseScope(library)
def _get_scope(libcode):
... | 0.630912 | 0.132599 |
import logging
import re
from streamlink.compat import html_unescape, unquote
from streamlink.plugin import Plugin
from streamlink.plugin.api import http, useragents, validate
from streamlink.stream import HLSStream, HTTPStream, RTMPStream
from streamlink.utils import parse_json
log = logging.getLogger(__name__)
cl... | plugins/ok_live.py | import logging
import re
from streamlink.compat import html_unescape, unquote
from streamlink.plugin import Plugin
from streamlink.plugin.api import http, useragents, validate
from streamlink.stream import HLSStream, HTTPStream, RTMPStream
from streamlink.utils import parse_json
log = logging.getLogger(__name__)
cl... | 0.437583 | 0.078043 |
import shutil
import logging
from typing import Optional
from packit.actions import ActionName
from packit.config.common_package_config import CommonPackageConfig
from packit.distgit import DistGit
import packit.upstream
logger = logging.getLogger(__name__)
class ChangelogHelper:
def __init__(
self,
... | packit/utils/changelog_helper.py |
import shutil
import logging
from typing import Optional
from packit.actions import ActionName
from packit.config.common_package_config import CommonPackageConfig
from packit.distgit import DistGit
import packit.upstream
logger = logging.getLogger(__name__)
class ChangelogHelper:
def __init__(
self,
... | 0.830285 | 0.128689 |
import os
import pytest
import spack.directives
import spack.fetch_strategy
import spack.repo
from spack.paths import mock_packages_path
from spack.spec import Spec
from spack.util.naming import mod_to_class
from spack.version import VersionChecksumError
@pytest.mark.usefixtures('config', 'mock_packages')
class Te... | lib/spack/spack/test/packages.py |
import os
import pytest
import spack.directives
import spack.fetch_strategy
import spack.repo
from spack.paths import mock_packages_path
from spack.spec import Spec
from spack.util.naming import mod_to_class
from spack.version import VersionChecksumError
@pytest.mark.usefixtures('config', 'mock_packages')
class Te... | 0.476336 | 0.297266 |
from pandac.PandaModules import *
from direct.interval.IntervalGlobal import *
from direct.particles import ParticleEffect
from StomperGlobals import *
from direct.distributed import ClockDelta
from direct.showbase.PythonUtil import lerp
import math
from otp.level import DistributedEntity
from direct.directnotify impor... | toontown/coghq/DistributedGolfGreenGame.py | from pandac.PandaModules import *
from direct.interval.IntervalGlobal import *
from direct.particles import ParticleEffect
from StomperGlobals import *
from direct.distributed import ClockDelta
from direct.showbase.PythonUtil import lerp
import math
from otp.level import DistributedEntity
from direct.directnotify impor... | 0.465387 | 0.147402 |
import io
from PIL import Image, ImageDraw, ImageFont
default_color = 'blue'
highlight_color = 'red'
class DetectionOverlay:
def __init__(self, args):
self.args = args
self.labels_to_highlight = args.labels_to_highlight.split(";")
self.font = ImageFont.truetype("./fonts/OpenSans-Regular.ttf", 12)
... | overlays/detection_overlay.py | import io
from PIL import Image, ImageDraw, ImageFont
default_color = 'blue'
highlight_color = 'red'
class DetectionOverlay:
def __init__(self, args):
self.args = args
self.labels_to_highlight = args.labels_to_highlight.split(";")
self.font = ImageFont.truetype("./fonts/OpenSans-Regular.ttf", 12)
... | 0.810216 | 0.498596 |
import torch
import math
import warnings
from torch.nn.init import _calculate_fan_in_and_fan_out
# Copied from https://github.com/rwightman/pytorch-image-models/blob/master/timm/models/layers/weight_init.py
def _no_grad_trunc_normal_(tensor, mean, std, a, b):
# Cut & paste from PyTorch official master until it's... | src/models/modules/layers/weight_init_helper.py | import torch
import math
import warnings
from torch.nn.init import _calculate_fan_in_and_fan_out
# Copied from https://github.com/rwightman/pytorch-image-models/blob/master/timm/models/layers/weight_init.py
def _no_grad_trunc_normal_(tensor, mean, std, a, b):
# Cut & paste from PyTorch official master until it's... | 0.943893 | 0.704899 |
import copy
import logging
from typing import Any, Dict, List, Optional, Type
from kedro.io.core import (
AbstractDataSet,
DataSetAlreadyExistsError,
DataSetError,
DataSetNotFoundError,
generate_current_version,
)
from kedro.io.memory_data_set import MemoryDataSet
CATALOG_KEY = "catalog"
CREDENTIA... | kedro/io/data_catalog.py | import copy
import logging
from typing import Any, Dict, List, Optional, Type
from kedro.io.core import (
AbstractDataSet,
DataSetAlreadyExistsError,
DataSetError,
DataSetNotFoundError,
generate_current_version,
)
from kedro.io.memory_data_set import MemoryDataSet
CATALOG_KEY = "catalog"
CREDENTIA... | 0.904979 | 0.48377 |
import os
import sys
from .plugin import PyTestRailPlugin
from .testrail_api import APIClient
if sys.version_info.major == 2:
# python2
import ConfigParser as configparser
else:
# python3
import configparser
def pytest_addoption(parser):
group = parser.getgroup('testrail')
group.addoption(
... | pytest_testrail/conftest.py | import os
import sys
from .plugin import PyTestRailPlugin
from .testrail_api import APIClient
if sys.version_info.major == 2:
# python2
import ConfigParser as configparser
else:
# python3
import configparser
def pytest_addoption(parser):
group = parser.getgroup('testrail')
group.addoption(
... | 0.287168 | 0.116966 |
def set_spines(ax, visible=False, spine_set=None):
if spine_set is None:
spine_set = ['left', 'right', 'top', 'bottom']
for s in spine_set:
ax.spines[s].set_visible(visible)
def no_ticks(ax, no_x=True, no_y=True):
if no_x:
ax.xaxis.set_ticks_position('none')
if no_y:
... | spladder/viz/axes.py | def set_spines(ax, visible=False, spine_set=None):
if spine_set is None:
spine_set = ['left', 'right', 'top', 'bottom']
for s in spine_set:
ax.spines[s].set_visible(visible)
def no_ticks(ax, no_x=True, no_y=True):
if no_x:
ax.xaxis.set_ticks_position('none')
if no_y:
... | 0.477798 | 0.368406 |
from __future__ import print_function
import os
import pytest
import pandas as pd
import numpy as np
from lifelines.estimation import NelsonAalenFitter, KaplanMeierFitter, AalenAdditiveFitter,\
CoxPHFitter, CoxTimeVaryingFitter
from lifelines.generate_datasets import generate_random_lifetimes, generate_hazard_rate... | tests/test_plotting.py | from __future__ import print_function
import os
import pytest
import pandas as pd
import numpy as np
from lifelines.estimation import NelsonAalenFitter, KaplanMeierFitter, AalenAdditiveFitter,\
CoxPHFitter, CoxTimeVaryingFitter
from lifelines.generate_datasets import generate_random_lifetimes, generate_hazard_rate... | 0.673943 | 0.544983 |
import logging
import os.path
import time
from collections import OrderedDict
import sys
import numpy as np
import torch.nn.functional as F
from torch import optim
from braindecode.models.deep4 import Deep4Net
from braindecode.datasets.bcic_iv_2a import BCICompetition4Set2A
from braindecode.experiments.experiment imp... | original_braindecode_exp.py | import logging
import os.path
import time
from collections import OrderedDict
import sys
import numpy as np
import torch.nn.functional as F
from torch import optim
from braindecode.models.deep4 import Deep4Net
from braindecode.datasets.bcic_iv_2a import BCICompetition4Set2A
from braindecode.experiments.experiment imp... | 0.49585 | 0.395835 |
import os
from os import path
from src.play_json import PlayNext, get_series_dirs, load_play_next
from src.status_data import STATUS_STRINGS
from src.config import Config
def _reset_target_link_dirs(config: Config) -> None:
all_dirs = _get_all_target_dirs(config)
for dir in all_dirs:
if os.path.exists... | src/link_utilz.py | import os
from os import path
from src.play_json import PlayNext, get_series_dirs, load_play_next
from src.status_data import STATUS_STRINGS
from src.config import Config
def _reset_target_link_dirs(config: Config) -> None:
all_dirs = _get_all_target_dirs(config)
for dir in all_dirs:
if os.path.exists... | 0.310799 | 0.116061 |
import pytest
from fbmsg.models.incoming import Request, Entry, Message as iMessage
from fbmsg.models.messages import QuickReply, QuickReplyButton, Message, Button, Template
from fbmsg.models.settings import Analytics, MenuItem, PersistentMenu
class TestQuickReplies:
def test_QuickReplyButton(self):
butt... | tests/test_models.py | import pytest
from fbmsg.models.incoming import Request, Entry, Message as iMessage
from fbmsg.models.messages import QuickReply, QuickReplyButton, Message, Button, Template
from fbmsg.models.settings import Analytics, MenuItem, PersistentMenu
class TestQuickReplies:
def test_QuickReplyButton(self):
butt... | 0.44746 | 0.397091 |
import numpy as np
import cv2
import math
img = np.array(cv2.imread(r"C:\Users\<NAME>\Desktop\CVIP_PROJECT3\original_imgs\original_imgs\noise.jpg",0))
out_img = np.zeros((img.shape))
b = np.array([[1,1,1],
[1,1,1],
[1,1,1]])
k_h = b.shape[0]
k_w = b.shape[1]
h= b.shape[0]//2
w= b.shape[1]//2... | task1/task1.py | import numpy as np
import cv2
import math
img = np.array(cv2.imread(r"C:\Users\<NAME>\Desktop\CVIP_PROJECT3\original_imgs\original_imgs\noise.jpg",0))
out_img = np.zeros((img.shape))
b = np.array([[1,1,1],
[1,1,1],
[1,1,1]])
k_h = b.shape[0]
k_w = b.shape[1]
h= b.shape[0]//2
w= b.shape[1]//2... | 0.161254 | 0.324195 |
import numpy as np
import pandas as pd
from base_test import ArkoudaTest
from context import arkouda as ak
SIZE = 1000
GROUPS = 32
verbose = True
OPS = frozenset(["mean", "min", "max", "sum", "prod"])
def groupby_to_arrays(df: pd.DataFrame, kname, vname, op):
g = df.groupby(kname)[vname]
agg = g.aggregate(o... | tests/nan_test.py | import numpy as np
import pandas as pd
from base_test import ArkoudaTest
from context import arkouda as ak
SIZE = 1000
GROUPS = 32
verbose = True
OPS = frozenset(["mean", "min", "max", "sum", "prod"])
def groupby_to_arrays(df: pd.DataFrame, kname, vname, op):
g = df.groupby(kname)[vname]
agg = g.aggregate(o... | 0.467332 | 0.405037 |
from service import Storage as stor
from service import Fusion as fus
class MatricPotential:
def __init__(self,db_host,db_user,db_pass):
self.RNI={}
self.ITN=0
self.water_needed=0
self.t_irri=0
self.database = stor.Storage(db_host, db_user, db_pass)
self.fusion = fus... | framework/application/matric_potential.py | from service import Storage as stor
from service import Fusion as fus
class MatricPotential:
def __init__(self,db_host,db_user,db_pass):
self.RNI={}
self.ITN=0
self.water_needed=0
self.t_irri=0
self.database = stor.Storage(db_host, db_user, db_pass)
self.fusion = fus... | 0.309858 | 0.136206 |
import collections
from tensorflow.python import pywrap_tfe as pywrap_tfe
from tensorflow.python.eager import context as _context
from tensorflow.python.eager import core as _core
from tensorflow.python.eager import execute as _execute
from tensorflow.python.framework import dtypes as _dtypes
from tensorflow.python.f... | venv/Lib/site-packages/tensorflow/python/ops/gen_set_ops.py | import collections
from tensorflow.python import pywrap_tfe as pywrap_tfe
from tensorflow.python.eager import context as _context
from tensorflow.python.eager import core as _core
from tensorflow.python.eager import execute as _execute
from tensorflow.python.framework import dtypes as _dtypes
from tensorflow.python.f... | 0.88658 | 0.512632 |
import math
import posixpath
from unittest import mock
from dvc.fs.base import FileSystem
from dvc.objects.db import ObjectDB
class _CallableOrNone:
"""Helper for testing if object is callable() or None."""
def __eq__(self, other):
return other is None or callable(other)
CallableOrNone = _Callable... | tests/unit/remote/test_base.py | import math
import posixpath
from unittest import mock
from dvc.fs.base import FileSystem
from dvc.objects.db import ObjectDB
class _CallableOrNone:
"""Helper for testing if object is callable() or None."""
def __eq__(self, other):
return other is None or callable(other)
CallableOrNone = _Callable... | 0.666714 | 0.254625 |
from io import BytesIO
from hematite.raw import messages as M
from hematite.raw.parser import (StatusLine,
HTTPVersion,
HeadersWriter,
ResponseReader,
ResponseWriter,
... | hematite/raw/response.py |
from io import BytesIO
from hematite.raw import messages as M
from hematite.raw.parser import (StatusLine,
HTTPVersion,
HeadersWriter,
ResponseReader,
ResponseWriter,
... | 0.451085 | 0.09451 |
import os, sys
import logging
import json
import uuid
import config_utils as ch
logger = logging.getLogger(__name__)
def generate_uuid(all_uuids:list):
new_uuid = str(uuid.uuid4())
while new_uuid in all_uuids:
new_uuid = str(uuid.uuid4())
all_uuids.append(new_uuid)
return al... | init/config/description_gen.py | import os, sys
import logging
import json
import uuid
import config_utils as ch
logger = logging.getLogger(__name__)
def generate_uuid(all_uuids:list):
new_uuid = str(uuid.uuid4())
while new_uuid in all_uuids:
new_uuid = str(uuid.uuid4())
all_uuids.append(new_uuid)
return al... | 0.139426 | 0.040541 |
import re
import urllib
import urllib2
from lib import requests
from htmlentitydefs import name2codepoint
from util.tools import remove_spaces
import HTMLParser
h = HTMLParser.HTMLParser()
paste_url = 'http://paste.ml'
short_ignored = ['bit.ly', 'is.gd', 'goo.gl', 'links.ml']
exec_uri = 'http://eval.appspot.com/eval'... | util/web.py | import re
import urllib
import urllib2
from lib import requests
from htmlentitydefs import name2codepoint
from util.tools import remove_spaces
import HTMLParser
h = HTMLParser.HTMLParser()
paste_url = 'http://paste.ml'
short_ignored = ['bit.ly', 'is.gd', 'goo.gl', 'links.ml']
exec_uri = 'http://eval.appspot.com/eval'... | 0.291082 | 0.135518 |
# Copyright (c) Facebook, Inc. and its affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import unittest
import parlai.utils.testing as testing_utils
@testing_utils.skipUnlessGPU
class TestBertModel(unittest.TestCase):
"""
... | tests/nightly/gpu/test_bert.py |
# Copyright (c) Facebook, Inc. and its affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import unittest
import parlai.utils.testing as testing_utils
@testing_utils.skipUnlessGPU
class TestBertModel(unittest.TestCase):
"""
... | 0.863765 | 0.492737 |
_sample_uploads_endpoints = [
[
"GetSampleV3",
"GET",
"/samples/entities/samples/v3",
"Retrieves the file associated with the given ID (SHA256)",
"sample_uploads",
[
{
"type": "string",
"description": "User UUID",
"name": "X-CS-USERUUID",
"in": "header"
... | src/falconpy/_endpoint/_sample_uploads.py | _sample_uploads_endpoints = [
[
"GetSampleV3",
"GET",
"/samples/entities/samples/v3",
"Retrieves the file associated with the given ID (SHA256)",
"sample_uploads",
[
{
"type": "string",
"description": "User UUID",
"name": "X-CS-USERUUID",
"in": "header"
... | 0.785473 | 0.396915 |
from ._application_gateways_operations import ApplicationGatewaysOperations
from ._express_route_circuit_authorizations_operations import ExpressRouteCircuitAuthorizationsOperations
from ._express_route_circuit_peerings_operations import ExpressRouteCircuitPeeringsOperations
from ._express_route_circuits_operations im... | sdk/network/azure-mgmt-network/azure/mgmt/network/v2015_06_15/operations/__init__.py |
from ._application_gateways_operations import ApplicationGatewaysOperations
from ._express_route_circuit_authorizations_operations import ExpressRouteCircuitAuthorizationsOperations
from ._express_route_circuit_peerings_operations import ExpressRouteCircuitPeeringsOperations
from ._express_route_circuits_operations im... | 0.542621 | 0.064036 |
import random
random.seed(42)
import numpy as np
np.random.seed(42)
import cvxpy as cp
from numpy.random import multivariate_normal
from sklearn.linear_model import LogisticRegression
from sklearn.naive_bayes import GaussianNB
from sklearn.metrics import accuracy_score
from copy import deepcopy
from ceml.sklearn impor... | Code/model_feature_drift.py | import random
random.seed(42)
import numpy as np
np.random.seed(42)
import cvxpy as cp
from numpy.random import multivariate_normal
from sklearn.linear_model import LogisticRegression
from sklearn.naive_bayes import GaussianNB
from sklearn.metrics import accuracy_score
from copy import deepcopy
from ceml.sklearn impor... | 0.737914 | 0.665492 |
from __future__ import print_function
from collections import OrderedDict
from knack.util import CLIError
from azext_devops.dev.common.format import trim_for_display, date_time_to_only_date
def transform_extension_search_results_table_output(result):
table_output = []
for item in result:
table_output... | azure-devops/azext_devops/dev/team/_format.py |
from __future__ import print_function
from collections import OrderedDict
from knack.util import CLIError
from azext_devops.dev.common.format import trim_for_display, date_time_to_only_date
def transform_extension_search_results_table_output(result):
table_output = []
for item in result:
table_output... | 0.502686 | 0.129183 |
import sys
import os.path
import tornado
import logging
from tornado.options import define, options
from server import OTAServerApplication
from coap import COAP_PORT, COAP_HOST
logging.basicConfig(level=logging.DEBUG,
format='%(asctime)s - %(name)14s - '
'%(levelname)... | otaserver/main.py |
import sys
import os.path
import tornado
import logging
from tornado.options import define, options
from server import OTAServerApplication
from coap import COAP_PORT, COAP_HOST
logging.basicConfig(level=logging.DEBUG,
format='%(asctime)s - %(name)14s - '
'%(levelname)... | 0.312895 | 0.037257 |
import torch.nn as nn
import torch
class Listener(nn.Module):
r"""
Converts low level speech signals into higher level features
Args:
rnn_cell (str, optional): type of RNN cell (default: gru)
hidden_size (int): the number of features in the hidden state `h`
n_layers (int, optional... | models/listener.py | import torch.nn as nn
import torch
class Listener(nn.Module):
r"""
Converts low level speech signals into higher level features
Args:
rnn_cell (str, optional): type of RNN cell (default: gru)
hidden_size (int): the number of features in the hidden state `h`
n_layers (int, optional... | 0.962427 | 0.703088 |
from msrest.serialization import Model
class TunnelConnectionHealth(Model):
"""VirtualNetworkGatewayConnection properties.
Variables are only populated by the server, and will be ignored when
sending a request.
:ivar tunnel: Tunnel name.
:vartype tunnel: str
:ivar connection_status: Virtual... | azure-mgmt-network/azure/mgmt/network/v2017_03_01/models/tunnel_connection_health_py3.py |
from msrest.serialization import Model
class TunnelConnectionHealth(Model):
"""VirtualNetworkGatewayConnection properties.
Variables are only populated by the server, and will be ignored when
sending a request.
:ivar tunnel: Tunnel name.
:vartype tunnel: str
:ivar connection_status: Virtual... | 0.869659 | 0.205695 |
import numpy as np
from mo.graph.graph import Node, Graph
from mo.ops.op import Op
class SparseSegmentSqrtN(Op):
''' The operation computes the sum along sparse segments of a tensor and divides it by the square root of N, where N is a number of rows in a segment.
For more details, see https://www.tensor... | model-optimizer/extensions/ops/sparse_segment_sqrtn.py |
import numpy as np
from mo.graph.graph import Node, Graph
from mo.ops.op import Op
class SparseSegmentSqrtN(Op):
''' The operation computes the sum along sparse segments of a tensor and divides it by the square root of N, where N is a number of rows in a segment.
For more details, see https://www.tensor... | 0.856287 | 0.76895 |
import re
from collections import namedtuple
from collections import OrderedDict
import json
Point = namedtuple('Point', ['x', 'y'])
Rect = namedtuple('Rect', ['ll', 'ur'])
Port = namedtuple('Port', ['port_nm', 'layer', 'rect'])
Blockage = namedtuple('Blockage', ['layer', 'rect'])
Terminal = namedtuple('Terminal', ['... | docs/Tutorials/NetlistParser/parse.py |
import re
from collections import namedtuple
from collections import OrderedDict
import json
Point = namedtuple('Point', ['x', 'y'])
Rect = namedtuple('Rect', ['ll', 'ur'])
Port = namedtuple('Port', ['port_nm', 'layer', 'rect'])
Blockage = namedtuple('Blockage', ['layer', 'rect'])
Terminal = namedtuple('Terminal', ['... | 0.464173 | 0.436142 |
from setuptools import find_packages
import sys
requires = ['gevent', 'flask', 'ujson', 'redis']
if sys.prefix == '/usr':
etc_prefix = '/etc'
else:
etc_prefix = sys.prefix + '/etc'
author = "Plivo Inc"
author_email = "<EMAIL>"
maintainer = "Plivo Inc"
maintainer_email = "<EMAIL>"
license = "MPL 1.1"
setup_... | setup.py | from setuptools import find_packages
import sys
requires = ['gevent', 'flask', 'ujson', 'redis']
if sys.prefix == '/usr':
etc_prefix = '/etc'
else:
etc_prefix = sys.prefix + '/etc'
author = "Plivo Inc"
author_email = "<EMAIL>"
maintainer = "Plivo Inc"
maintainer_email = "<EMAIL>"
license = "MPL 1.1"
setup_... | 0.282295 | 0.0713 |
import os
import re
try:
from email.mime.text import MIMEText
except ImportError:
from email.MIMEText import MIMEText
from smtplib import SMTP, SMTPException
from urlparse import urlparse
from zine.utils.validators import is_valid_email, check
_mail_split_re = re.compile(r'^(.*?)(?:\s+<(.+)>)?$')
def split... | zine/utils/mail.py | import os
import re
try:
from email.mime.text import MIMEText
except ImportError:
from email.MIMEText import MIMEText
from smtplib import SMTP, SMTPException
from urlparse import urlparse
from zine.utils.validators import is_valid_email, check
_mail_split_re = re.compile(r'^(.*?)(?:\s+<(.+)>)?$')
def split... | 0.478041 | 0.099077 |
import time
from typing import Tuple, List
import numpy as np
import robot_con.yumi.yumi_robot as yr
import robot_con.yumi.yumi_state as ys
class Yumi_Controller:
def __init__(self, debug: bool = False):
"""
is_add_all: Set True, the function `move_jntspace_path` will send multiple joint angles ... | robot_con/yumi/yumi_con.py | import time
from typing import Tuple, List
import numpy as np
import robot_con.yumi.yumi_robot as yr
import robot_con.yumi.yumi_state as ys
class Yumi_Controller:
def __init__(self, debug: bool = False):
"""
is_add_all: Set True, the function `move_jntspace_path` will send multiple joint angles ... | 0.864996 | 0.346569 |
model = dict(
type='FastRCNN',
backbone=dict(
type='ResNet3dSlowFast',
pretrained=None,
resample_rate=4,
speed_ratio=4,
channel_ratio=8,
slow_pathway=dict(
type='resnet3d',
depth=50,
pretrained=None,
lateral=True,
... | configs/detection/ava/slowfast_kinetics_pretrained_r50_8x8x1_20e_ava_rgb.py | model = dict(
type='FastRCNN',
backbone=dict(
type='ResNet3dSlowFast',
pretrained=None,
resample_rate=4,
speed_ratio=4,
channel_ratio=8,
slow_pathway=dict(
type='resnet3d',
depth=50,
pretrained=None,
lateral=True,
... | 0.580709 | 0.206774 |
from torchtext import data
from torchtext.data import Field, RawField
from typing import List, Tuple
import pickle
import gzip
import numpy as np
import torch
def load_dataset_file(filename):
with gzip.open(filename, "rb") as f:
loaded_object = pickle.load(f)
return loaded_object
class SignTrans... | signjoey_codes_experiments/signjoey_features_early_concat/dataset.py | from torchtext import data
from torchtext.data import Field, RawField
from typing import List, Tuple
import pickle
import gzip
import numpy as np
import torch
def load_dataset_file(filename):
with gzip.open(filename, "rb") as f:
loaded_object = pickle.load(f)
return loaded_object
class SignTrans... | 0.880759 | 0.348562 |
import asyncio
from datetime import date
import logging
import re
import traceback
from aiogram import Bot, Dispatcher, types
from aiogram.contrib.fsm_storage.redis import RedisStorage2
from aiogram.dispatcher import FSMContext
from aiogram.utils import exceptions, executor
from aiogram.utils.markdown import text
imp... | main.py | import asyncio
from datetime import date
import logging
import re
import traceback
from aiogram import Bot, Dispatcher, types
from aiogram.contrib.fsm_storage.redis import RedisStorage2
from aiogram.dispatcher import FSMContext
from aiogram.utils import exceptions, executor
from aiogram.utils.markdown import text
imp... | 0.303009 | 0.096068 |
import os
import sys
import time
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from torch.optim.lr_scheduler import OneCycleLR
from torch.utils.data import DataLoader
import torchvision
from torchvision.datasets import CIFAR10
import torchvision.transf... | model_cifar10_15_9.py | import os
import sys
import time
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from torch.optim.lr_scheduler import OneCycleLR
from torch.utils.data import DataLoader
import torchvision
from torchvision.datasets import CIFAR10
import torchvision.transf... | 0.735547 | 0.311348 |
# Copyright (c) Facebook, Inc. and its affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from flask import Flask, Blueprint, send_file, jsonify, request
import os
import atexit
import signal
import csv
import sys
import time
import ... | mephisto/client/review/review_server.py |
# Copyright (c) Facebook, Inc. and its affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from flask import Flask, Blueprint, send_file, jsonify, request
import os
import atexit
import signal
import csv
import sys
import time
import ... | 0.516108 | 0.096025 |
import re
from django.contrib.auth import get_user_model, password_validation
from django.core.exceptions import ValidationError
from django.contrib.auth import authenticate
from django.utils.translation import ugettext_lazy as _
from rest_framework import serializers
from rest_framework.validators import UniqueValid... | {{cookiecutter.project_slug}}/{{cookiecutter.project_slug}}/serializers.py | import re
from django.contrib.auth import get_user_model, password_validation
from django.core.exceptions import ValidationError
from django.contrib.auth import authenticate
from django.utils.translation import ugettext_lazy as _
from rest_framework import serializers
from rest_framework.validators import UniqueValid... | 0.52829 | 0.094385 |
from __future__ import annotations
import copy
from typing import List, Tuple, Union, TYPE_CHECKING
from .account import Account
if TYPE_CHECKING:
from ..strategy.base import BaseStrategy
from .executor import BaseExecutor
from .decision import BaseTradeDecision
from .position import Position
from .exchan... | qlib/backtest/__init__.py | from __future__ import annotations
import copy
from typing import List, Tuple, Union, TYPE_CHECKING
from .account import Account
if TYPE_CHECKING:
from ..strategy.base import BaseStrategy
from .executor import BaseExecutor
from .decision import BaseTradeDecision
from .position import Position
from .exchan... | 0.814607 | 0.32306 |
import os
from datetime import datetime
import time
import numpy as np
import random
import argparse
from shutil import copyfile
import torch
import torch.nn as nn
import torch.optim as optim
from torch.autograd import Variable
from data.loader import DataLoader
from model.rnn import RelationModel
from utils import sc... | train.py | import os
from datetime import datetime
import time
import numpy as np
import random
import argparse
from shutil import copyfile
import torch
import torch.nn as nn
import torch.optim as optim
from torch.autograd import Variable
from data.loader import DataLoader
from model.rnn import RelationModel
from utils import sc... | 0.526586 | 0.084758 |
from ikomia import utils, core, dataprocess
from ikomia.utils import pyqtutils, qtconversion
from train_torchvision_mask_rcnn.train_torchvision_mask_rcnn_process import TrainMaskRcnnParam
# PyQt GUI framework
from PyQt5.QtWidgets import *
# --------------------
# - Class which implements widget associated with the pr... | train_torchvision_mask_rcnn_widget.py | from ikomia import utils, core, dataprocess
from ikomia.utils import pyqtutils, qtconversion
from train_torchvision_mask_rcnn.train_torchvision_mask_rcnn_process import TrainMaskRcnnParam
# PyQt GUI framework
from PyQt5.QtWidgets import *
# --------------------
# - Class which implements widget associated with the pr... | 0.549278 | 0.155142 |
import copy
import uuid
import jsonschema
from qiskit import QuantumRegister, ClassicalRegister, QuantumCircuit
from qiskit.compiler import assemble
from qiskit.providers.basicaer import basicaerjob
from qiskit.qobj import (QasmQobj, PulseQobj, QobjHeader,
PulseQobjInstruction, PulseQobjExpe... | test/python/qobj/test_qobj.py | import copy
import uuid
import jsonschema
from qiskit import QuantumRegister, ClassicalRegister, QuantumCircuit
from qiskit.compiler import assemble
from qiskit.providers.basicaer import basicaerjob
from qiskit.qobj import (QasmQobj, PulseQobj, QobjHeader,
PulseQobjInstruction, PulseQobjExpe... | 0.721645 | 0.333775 |
from __future__ import division
import os.path
import numpy as np
from skimage._shared.testing import assert_equal, assert_almost_equal
from skimage._shared.testing import assert_array_almost_equal
from skimage._shared.testing import TestCase
from skimage import img_as_float, img_as_ubyte
from skimage.io import imrea... | skimage/color/tests/test_colorconv.py | from __future__ import division
import os.path
import numpy as np
from skimage._shared.testing import assert_equal, assert_almost_equal
from skimage._shared.testing import assert_array_almost_equal
from skimage._shared.testing import TestCase
from skimage import img_as_float, img_as_ubyte
from skimage.io import imrea... | 0.787523 | 0.554893 |
# Package context -- the full module name for package imports
_py_package_context = None
@__builtin__
def get_magic():
return b'\x0c\xaf\xaf\xe1'
@__builtin__
def create_dynamic(module_spec, filename=None):
global _py_package_context
old_package_context = _py_package_context
_py_package_context = s... | graalpython/lib-graalpython/_imp.py |
# Package context -- the full module name for package imports
_py_package_context = None
@__builtin__
def get_magic():
return b'\x0c\xaf\xaf\xe1'
@__builtin__
def create_dynamic(module_spec, filename=None):
global _py_package_context
old_package_context = _py_package_context
_py_package_context = s... | 0.570212 | 0.08438 |
from vive_pb2 import *
from datetime import datetime
import socket
import time
from utils import *
import sys
from vive_provider import *
collection = GlobalCollection()
try:
vp = Vive_provider()
# addr = None
# addr = '<broadcast>'
addr = '192.168.0.255'
server = socket.socket(
socket.... | vive_server.py |
from vive_pb2 import *
from datetime import datetime
import socket
import time
from utils import *
import sys
from vive_provider import *
collection = GlobalCollection()
try:
vp = Vive_provider()
# addr = None
# addr = '<broadcast>'
addr = '192.168.0.255'
server = socket.socket(
socket.... | 0.268654 | 0.076718 |
import unittest
try:
from normatrix.test.unittests.header.tests import TestHeader
from normatrix.test.unittests.function_line.tests import TestFunctionLine
from normatrix.test.unittests.columns.tests import TestColumns
from normatrix.test.unittests.comma.tests import TestComma
from normatrix.test.u... | src/normatrix/test/tests.py | import unittest
try:
from normatrix.test.unittests.header.tests import TestHeader
from normatrix.test.unittests.function_line.tests import TestFunctionLine
from normatrix.test.unittests.columns.tests import TestColumns
from normatrix.test.unittests.comma.tests import TestComma
from normatrix.test.u... | 0.369315 | 0.6852 |
import numpy
from scipy.optimize import curve_fit
import matplotlib.pyplot as plt
def getData(filename):
with open(filename) as file:
data = [[], []]
titles = [c.strip() for c in file.readline().split(",")]
print titles
for line in file:
point = [c.strip() fo... | deconvolve4.py | import numpy
from scipy.optimize import curve_fit
import matplotlib.pyplot as plt
def getData(filename):
with open(filename) as file:
data = [[], []]
titles = [c.strip() for c in file.readline().split(",")]
print titles
for line in file:
point = [c.strip() fo... | 0.38168 | 0.629746 |
import os
import warnings
from importlib import reload
import environ
import requests
import sys
from corsheaders.defaults import default_headers
from app.utils import secret_key_gen
env = environ.Env()
# Build paths inside the project like this: os.path.join(BASE_DIR, ...)
BASE_DIR = os.path.dirname(os.path.dirna... | src/app/settings/common.py | import os
import warnings
from importlib import reload
import environ
import requests
import sys
from corsheaders.defaults import default_headers
from app.utils import secret_key_gen
env = environ.Env()
# Build paths inside the project like this: os.path.join(BASE_DIR, ...)
BASE_DIR = os.path.dirname(os.path.dirna... | 0.272702 | 0.050331 |
import time
import os
import RPi.GPIO as GPIO
GPIO.setmode(GPIO.BCM)
# read SPI data from MCP3008 chip, 8 possible adc's (0 thru 7)
def readadc(adcnum, clockpin, mosipin, misopin, cspin):
if ((adcnum > 7) or (adcnum < 0)):
return -1
GPIO.output(cspin, True)
GPIO.output(clockpi... | 3ADC with Raspberry Pi using MCP3008/adc_1/adc.py | import time
import os
import RPi.GPIO as GPIO
GPIO.setmode(GPIO.BCM)
# read SPI data from MCP3008 chip, 8 possible adc's (0 thru 7)
def readadc(adcnum, clockpin, mosipin, misopin, cspin):
if ((adcnum > 7) or (adcnum < 0)):
return -1
GPIO.output(cspin, True)
GPIO.output(clockpi... | 0.247987 | 0.120439 |
"""Tests for tensorflow_hub.feature_column."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import logging
import os
import numpy as np
import tensorflow.compat.v2 as tf
import tensorflow_hub as hub
# pylint: disable=g-direct-tensorflow-import
from ten... | tensorflow_hub/feature_column_v2_test.py | """Tests for tensorflow_hub.feature_column."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import logging
import os
import numpy as np
import tensorflow.compat.v2 as tf
import tensorflow_hub as hub
# pylint: disable=g-direct-tensorflow-import
from ten... | 0.926653 | 0.331918 |
import os
import asyncio
import time
import typing
import logging
import binascii
from aiohttp.web import Request, StreamResponse, HTTPRequestRangeNotSatisfiable
from lbry.utils import generate_id
from lbry.error import DownloadSDTimeoutError
from lbry.schema.mime_types import guess_media_type
from lbry.stream.download... | lbry/lbry/stream/managed_stream.py | import os
import asyncio
import time
import typing
import logging
import binascii
from aiohttp.web import Request, StreamResponse, HTTPRequestRangeNotSatisfiable
from lbry.utils import generate_id
from lbry.error import DownloadSDTimeoutError
from lbry.schema.mime_types import guess_media_type
from lbry.stream.download... | 0.573201 | 0.103976 |
import datetime
from south.db import db
from south.v2 import SchemaMigration
from django.db import models
class Migration(SchemaMigration):
def forwards(self, orm):
# Adding model 'Contact'
db.create_table('membership_contact', (
('id', self.gf('django.db.models.fields.AutoField')(pri... | membership/migrations/0001_initial.py | import datetime
from south.db import db
from south.v2 import SchemaMigration
from django.db import models
class Migration(SchemaMigration):
def forwards(self, orm):
# Adding model 'Contact'
db.create_table('membership_contact', (
('id', self.gf('django.db.models.fields.AutoField')(pri... | 0.619356 | 0.058777 |
from config import Config
import time
import re
import asyncio
progress_pattern = re.compile(
r'(frame|fps|size|time|bitrate|speed)\s*\=\s*(\S+)'
)
def parse_progress(line):
items = {
key: value for key, value in progress_pattern.findall(line)
}
if not items:
return None
return it... | helper_func/mux.py | from config import Config
import time
import re
import asyncio
progress_pattern = re.compile(
r'(frame|fps|size|time|bitrate|speed)\s*\=\s*(\S+)'
)
def parse_progress(line):
items = {
key: value for key, value in progress_pattern.findall(line)
}
if not items:
return None
return it... | 0.355216 | 0.138928 |
"""Transformer evaluation script."""
import os
import numpy as np
import mindspore.nn as nn
import mindspore.common.dtype as mstype
from mindspore.common.parameter import Parameter
from mindspore.common.tensor import Tensor
from mindspore.train.model import Model
from mindspore.train.serialization import load_checkpo... | built-in/MindSpore/Official/nlp/Transformer_for_MindSpore/eval.py | """Transformer evaluation script."""
import os
import numpy as np
import mindspore.nn as nn
import mindspore.common.dtype as mstype
from mindspore.common.parameter import Parameter
from mindspore.common.tensor import Tensor
from mindspore.train.model import Model
from mindspore.train.serialization import load_checkpo... | 0.816882 | 0.262503 |
import yaml
import unittest
import sys
from rhos_bootstrap import exceptions
from unittest import mock
sys.modules["dnf"] = mock.MagicMock()
sys.modules["dnf.cli.cli"] = mock.MagicMock()
sys.modules["dnf.exceptions"] = mock.MagicMock()
sys.modules["dnf.logging"] = mock.MagicMock()
sys.modules["libdnf"] = mock.MagicMo... | rhos_bootstrap/tests/test_distribution.py |
import yaml
import unittest
import sys
from rhos_bootstrap import exceptions
from unittest import mock
sys.modules["dnf"] = mock.MagicMock()
sys.modules["dnf.cli.cli"] = mock.MagicMock()
sys.modules["dnf.exceptions"] = mock.MagicMock()
sys.modules["dnf.logging"] = mock.MagicMock()
sys.modules["libdnf"] = mock.MagicMo... | 0.523908 | 0.162845 |
from .fhirbase import fhirbase
class DiagnosticReport(fhirbase):
"""
The findings and interpretation of diagnostic tests performed on
patients, groups of patients, devices, and locations, and/or specimens
derived from these. The report includes clinical context such as
requesting and provider inf... | cardea/fhir/DiagnosticReport.py | from .fhirbase import fhirbase
class DiagnosticReport(fhirbase):
"""
The findings and interpretation of diagnostic tests performed on
patients, groups of patients, devices, and locations, and/or specimens
derived from these. The report includes clinical context such as
requesting and provider inf... | 0.877391 | 0.583203 |
import ast
import collections
import math
from radon.raw import analyze
from radon.visitors import ComplexityVisitor, HalsteadVisitor
# Halstead metrics
HalsteadReport = collections.namedtuple(
'HalsteadReport',
'h1 h2 N1 N2 vocabulary length '
'calculated_length volume '
'difficulty effort time bugs'... | radon/metrics.py | import ast
import collections
import math
from radon.raw import analyze
from radon.visitors import ComplexityVisitor, HalsteadVisitor
# Halstead metrics
HalsteadReport = collections.namedtuple(
'HalsteadReport',
'h1 h2 N1 N2 vocabulary length '
'calculated_length volume '
'difficulty effort time bugs'... | 0.901477 | 0.608507 |
import typing
import json
import logging
import numpy as np
import os
import pickle
import warnings
from sklearn.base import clone
from sklearn.linear_model import LogisticRegression
from sklearn.model_selection import GridSearchCV
from sklearn.preprocessing import LabelEncoder
# noinspection PyProtectedMember
from sk... | rasa/core/policies/sklearn_policy.py | import typing
import json
import logging
import numpy as np
import os
import pickle
import warnings
from sklearn.base import clone
from sklearn.linear_model import LogisticRegression
from sklearn.model_selection import GridSearchCV
from sklearn.preprocessing import LabelEncoder
# noinspection PyProtectedMember
from sk... | 0.84367 | 0.356867 |
"""Test cases for Zinnia's admin"""
from __future__ import unicode_literals
from django.contrib.admin.sites import AdminSite
from django.contrib.auth.models import User
from django.contrib.sites.models import Site
from django.test import RequestFactory
from django.test import TestCase
from django.utils import timezone... | zinnia/tests/test_admin.py | """Test cases for Zinnia's admin"""
from __future__ import unicode_literals
from django.contrib.admin.sites import AdminSite
from django.contrib.auth.models import User
from django.contrib.sites.models import Site
from django.test import RequestFactory
from django.test import TestCase
from django.utils import timezone... | 0.568296 | 0.172363 |
class MIPSNode:
pass
class MIPSProgramNode(MIPSNode):
def __init__(self, dotdata, dottext):
self.dotdata = dotdata
self.dottext = dottext
class MIPSDataNode(MIPSNode):
pass
class MIPSProcedureNode(MIPSNode):
def __init__(self, label):
self.label = label
self.instructio... | src/compiler/components/generation/MIPS_defintions.py | class MIPSNode:
pass
class MIPSProgramNode(MIPSNode):
def __init__(self, dotdata, dottext):
self.dotdata = dotdata
self.dottext = dottext
class MIPSDataNode(MIPSNode):
pass
class MIPSProcedureNode(MIPSNode):
def __init__(self, label):
self.label = label
self.instructio... | 0.76921 | 0.568925 |
from io import BytesIO
import mutagen
from kivy.core.audio import SoundLoader, Sound
from kivy.core.image import Image as CoreImage
from kivy.properties import ObjectProperty, NumericProperty, BoundedNumericProperty, Clock
from kivy.uix.screenmanager import Screen
from playlist.orm import DirectoryPlaylist
from playl... | src/playlist/gui/main_screen.py | from io import BytesIO
import mutagen
from kivy.core.audio import SoundLoader, Sound
from kivy.core.image import Image as CoreImage
from kivy.properties import ObjectProperty, NumericProperty, BoundedNumericProperty, Clock
from kivy.uix.screenmanager import Screen
from playlist.orm import DirectoryPlaylist
from playl... | 0.586286 | 0.127598 |
import discord
from discord.ext import commands
from _Util import BLUE, Checks
class Rules(commands.Cog):
"""
Main class
"""
def __init__(self, bot):
self.bot = bot
@commands.group()
@commands.check(Checks.admin)
async def rules(self, ctx):
"""
Modifies rules
... | bot/Rules.py | import discord
from discord.ext import commands
from _Util import BLUE, Checks
class Rules(commands.Cog):
"""
Main class
"""
def __init__(self, bot):
self.bot = bot
@commands.group()
@commands.check(Checks.admin)
async def rules(self, ctx):
"""
Modifies rules
... | 0.47171 | 0.059565 |
from collections import OrderedDict
from pathlib import Path
from typing import TYPE_CHECKING, Callable, Iterable, List, Optional, Tuple, Union
# Avoid spurious X windows errors, see:
# https://stackoverflow.com/questions/37604289/tkinter-tclerror-no-display-name-and-no-display-environment-variable
import GPy
import m... | PyStationB/libraries/ABEX/abex/plotting/bayesopt_plotting.py | from collections import OrderedDict
from pathlib import Path
from typing import TYPE_CHECKING, Callable, Iterable, List, Optional, Tuple, Union
# Avoid spurious X windows errors, see:
# https://stackoverflow.com/questions/37604289/tkinter-tclerror-no-display-name-and-no-display-environment-variable
import GPy
import m... | 0.953708 | 0.561696 |
import ast
from collections.abc import Mapping
from typing import Union
import polyaxon_sdk
from marshmallow import fields, validate, validates_schema
from marshmallow.exceptions import ValidationError
from polyaxon import types
from polyaxon.schemas.base import BaseCamelSchema, BaseConfig, BaseOneOfSchema
try:
... | core/polyaxon/polyflow/matrix/params.py |
import ast
from collections.abc import Mapping
from typing import Union
import polyaxon_sdk
from marshmallow import fields, validate, validates_schema
from marshmallow.exceptions import ValidationError
from polyaxon import types
from polyaxon.schemas.base import BaseCamelSchema, BaseConfig, BaseOneOfSchema
try:
... | 0.716715 | 0.254202 |
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union
from ... import _utilities, _tables
from . import outputs
__all__ = [
'ActorResponseResult',
'EventContentResponseResult',
'EventRequestMessageResponseResult',
'EventResponseResult',
'Eve... | sdk/python/pulumi_azure_nextgen/containerregistry/v20170601preview/outputs.py |
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union
from ... import _utilities, _tables
from . import outputs
__all__ = [
'ActorResponseResult',
'EventContentResponseResult',
'EventRequestMessageResponseResult',
'EventResponseResult',
'Eve... | 0.882725 | 0.055823 |
from __future__ import unicode_literals
from unittest import TestCase
from alex.applications.PublicTransportInfoCS.hdc_slu import PTICSHDCSLU
from alex.applications.PublicTransportInfoCS.preprocessing import PTICSSLUPreprocessing
from alex.components.asr.utterance import Utterance, UtteranceNBList
from alex.components... | alex/applications/PublicTransportInfoCS/test_hdc_slu.py | from __future__ import unicode_literals
from unittest import TestCase
from alex.applications.PublicTransportInfoCS.hdc_slu import PTICSHDCSLU
from alex.applications.PublicTransportInfoCS.preprocessing import PTICSSLUPreprocessing
from alex.components.asr.utterance import Utterance, UtteranceNBList
from alex.components... | 0.542379 | 0.349866 |
import unittest
import tensorflow as tf
import numpy as np
from tensorforce.core.memories import Queue, Latest, Replay
class TestMemory(unittest.TestCase):
states_spec = dict(
test_state=dict(
shape=[1],
type="float"
)
)
actions_spec = dict(
test_action=dic... | tensorforce/tests/test_memory.py | import unittest
import tensorflow as tf
import numpy as np
from tensorforce.core.memories import Queue, Latest, Replay
class TestMemory(unittest.TestCase):
states_spec = dict(
test_state=dict(
shape=[1],
type="float"
)
)
actions_spec = dict(
test_action=dic... | 0.664758 | 0.47859 |
from twisted.internet.address import IPv6Address
from twisted.internet.testing import StringTransport
from sygnal.exceptions import (
NotificationDispatchException,
TemporaryNotificationDispatchException,
)
from sygnal.notifications import Pushkin
from tests import testutils
DEVICE_RAISE_EXCEPTION = {
"... | tests/test_pushgateway_api_v1.py |
from twisted.internet.address import IPv6Address
from twisted.internet.testing import StringTransport
from sygnal.exceptions import (
NotificationDispatchException,
TemporaryNotificationDispatchException,
)
from sygnal.notifications import Pushkin
from tests import testutils
DEVICE_RAISE_EXCEPTION = {
"... | 0.67405 | 0.262452 |
from telemetry import value as value_module
from telemetry.value import list_of_string_values
from telemetry.value import none_values
class StringValue(value_module.Value):
def __init__(self, page, name, units, value, important=True,
description=None, tir_label=None,
none_value_reason... | app/src/thirdparty/telemetry/value/string.py |
from telemetry import value as value_module
from telemetry.value import list_of_string_values
from telemetry.value import none_values
class StringValue(value_module.Value):
def __init__(self, page, name, units, value, important=True,
description=None, tir_label=None,
none_value_reason... | 0.841891 | 0.339499 |
import numpy as np
from lib.namedstruct import *
class SPEFile:
HDRNAMEMAX = 120
USERINFOMAX = 1000
COMMENTMAX = 80
LABELMAX = 16
FILEVERMAX = 16
DATEMAX = 10
ROIMAX = 10
TIMEMAX = 7
DTYPE_FLOAT = 0
DTYPE_LONG = 1
DTYPE_SHORT = 2
DTYPE_USHORT = 3
DSIZE = {
... | source/lib/file_support/winspec.py |
import numpy as np
from lib.namedstruct import *
class SPEFile:
HDRNAMEMAX = 120
USERINFOMAX = 1000
COMMENTMAX = 80
LABELMAX = 16
FILEVERMAX = 16
DATEMAX = 10
ROIMAX = 10
TIMEMAX = 7
DTYPE_FLOAT = 0
DTYPE_LONG = 1
DTYPE_SHORT = 2
DTYPE_USHORT = 3
DSIZE = {
... | 0.451568 | 0.298469 |
from __future__ import absolute_import
import os
import tarfile
import boto3
import numpy
import pytest
import tests.integ.local_mode_utils as local_mode_utils
from tests.integ import DATA_DIR, PYTHON_VERSION
from tests.integ.timeout import timeout
from sagemaker.local import LocalSession, LocalSagemakerRuntimeClien... | tests/integ/test_local_mode.py | from __future__ import absolute_import
import os
import tarfile
import boto3
import numpy
import pytest
import tests.integ.local_mode_utils as local_mode_utils
from tests.integ import DATA_DIR, PYTHON_VERSION
from tests.integ.timeout import timeout
from sagemaker.local import LocalSession, LocalSagemakerRuntimeClien... | 0.439026 | 0.196614 |
from tkinter import *
from tkinter import ttk
from work import MyWork
class MyGui:
def __init__(self, root):
'''setting the initial GUI: define different parts to the given grid
please note: if the variable changes when running the program, then you should define it as a public variable.
m... | src/gui.py | from tkinter import *
from tkinter import ttk
from work import MyWork
class MyGui:
def __init__(self, root):
'''setting the initial GUI: define different parts to the given grid
please note: if the variable changes when running the program, then you should define it as a public variable.
m... | 0.515376 | 0.348867 |
import os
import sys
import collector_center_sdk.api.collection_config.create_collection_config_pb2
import collector_center_sdk.api.collection_config.debug_collection_config_pb2
import collector_center_sdk.api.collection_config.debug_collection_config_callback_pb2
import collector_center_sdk.api.collection_config.... | collector_center_sdk/api/collection_config/collection_config_client.py | import os
import sys
import collector_center_sdk.api.collection_config.create_collection_config_pb2
import collector_center_sdk.api.collection_config.debug_collection_config_pb2
import collector_center_sdk.api.collection_config.debug_collection_config_callback_pb2
import collector_center_sdk.api.collection_config.... | 0.243822 | 0.056418 |
from __future__ import print_function
import logging
from pathlib import PurePath
from ophyd import (AreaDetector, CamBase, TIFFPlugin, Component as Cpt,
HDF5Plugin, Device, StatsPlugin, ProcessPlugin,
ROIPlugin, TransformPlugin)
from ophyd.areadetector.filestore_mixins import (
... | hxntools/detectors/merlin.py | from __future__ import print_function
import logging
from pathlib import PurePath
from ophyd import (AreaDetector, CamBase, TIFFPlugin, Component as Cpt,
HDF5Plugin, Device, StatsPlugin, ProcessPlugin,
ROIPlugin, TransformPlugin)
from ophyd.areadetector.filestore_mixins import (
... | 0.583322 | 0.110807 |
__docformat__ = 'restructuredtext'
_libs = {}
_libdirs = []
from .ctypes_preamble import *
from .ctypes_preamble import _variadic_function
from .ctypes_loader import *
add_library_search_dirs([])
# Begin libraries
_libs["grass_dbmiclient.7.8"] = load_library("grass_dbmiclient.7.8")
_libs["grass_dbmibase.7.8"] = l... | lib/dbmi.py | __docformat__ = 'restructuredtext'
_libs = {}
_libdirs = []
from .ctypes_preamble import *
from .ctypes_preamble import _variadic_function
from .ctypes_loader import *
add_library_search_dirs([])
# Begin libraries
_libs["grass_dbmiclient.7.8"] = load_library("grass_dbmiclient.7.8")
_libs["grass_dbmibase.7.8"] = l... | 0.174656 | 0.053403 |
import numpy
import os
import sys
# This script depends on a SJSON parsing package:
# https://pypi.python.org/pypi/SJSON/1.1.0
# https://shelter13.net/projects/SJSON/
# https://bitbucket.org/Anteru/sjson/src
import sjson
if __name__ == "__main__":
if sys.version_info < (3, 4):
print('Python 3.4 or higher needed to... | tools/graph_generation/gen_bit_rate_stats.py | import numpy
import os
import sys
# This script depends on a SJSON parsing package:
# https://pypi.python.org/pypi/SJSON/1.1.0
# https://shelter13.net/projects/SJSON/
# https://bitbucket.org/Anteru/sjson/src
import sjson
if __name__ == "__main__":
if sys.version_info < (3, 4):
print('Python 3.4 or higher needed to... | 0.134975 | 0.115661 |
import signal
import time
import datetime
import sys
from mqtt_client_service import MqttClientService
from sense_service import SenseService
import logging
try:
from enviro_service import EnviroService
except:
logging.warning("EnviroService not ready...")
logging.basicConfig(
format='%(asctime)s.%(msecs)03... | environment/sense-enviro-service.py | import signal
import time
import datetime
import sys
from mqtt_client_service import MqttClientService
from sense_service import SenseService
import logging
try:
from enviro_service import EnviroService
except:
logging.warning("EnviroService not ready...")
logging.basicConfig(
format='%(asctime)s.%(msecs)03... | 0.25488 | 0.076236 |
import datetime as dt
import logging
from dataclasses import dataclass
import requests
from .const import *
from .Token import Token
from .Vehicle import Vehicle
_LOGGER = logging.getLogger(__name__)
@dataclass
class ClimateRequestOptions:
set_temp: float = None
duration: int = None
defrost: bool = No... | hyundai_kia_connect_api/ApiImpl.py | import datetime as dt
import logging
from dataclasses import dataclass
import requests
from .const import *
from .Token import Token
from .Vehicle import Vehicle
_LOGGER = logging.getLogger(__name__)
@dataclass
class ClimateRequestOptions:
set_temp: float = None
duration: int = None
defrost: bool = No... | 0.612078 | 0.330876 |
import os
import argparse
import subprocess
from pathlib import Path
from rrap import concatenator
from rrap import indexer
from rrap import read_recruiter
from rrap import visualizer
def main():
c = Controller()
c.run()
class Controller:
def __init__(self):
self.p = argparse.ArgumentParser(prog... | src/rrap/controller.py | import os
import argparse
import subprocess
from pathlib import Path
from rrap import concatenator
from rrap import indexer
from rrap import read_recruiter
from rrap import visualizer
def main():
c = Controller()
c.run()
class Controller:
def __init__(self):
self.p = argparse.ArgumentParser(prog... | 0.257952 | 0.099865 |
from RecebeDados import RecebeDados;
from Sistema import Sistema;
from Problema import Problema;
from SaidaDados import SaidaDados;
from SaidaNewave import SaidaNewave;
from contextlib import suppress;
from coopr.pyomo import *;
from pyomo.environ import *;
from pyomo.opt import *;
import os, jsonpickle;
class Control... | Control.py | from RecebeDados import RecebeDados;
from Sistema import Sistema;
from Problema import Problema;
from SaidaDados import SaidaDados;
from SaidaNewave import SaidaNewave;
from contextlib import suppress;
from coopr.pyomo import *;
from pyomo.environ import *;
from pyomo.opt import *;
import os, jsonpickle;
class Control... | 0.180287 | 0.198375 |
from Malt.GL import GL
from Malt.GL.Texture import Texture
from Malt.GL.RenderTarget import RenderTarget
from Malt.PipelineNode import PipelineNode
from Malt.PipelineParameters import Parameter, Type
from Malt.Scene import TextureShaderResource
class ScreenPass(PipelineNode):
def __init__(self, pipeline):
... | Malt/Pipelines/NPR_Pipeline/Nodes/RenderLayer/ScreenPass.py | from Malt.GL import GL
from Malt.GL.Texture import Texture
from Malt.GL.RenderTarget import RenderTarget
from Malt.PipelineNode import PipelineNode
from Malt.PipelineParameters import Parameter, Type
from Malt.Scene import TextureShaderResource
class ScreenPass(PipelineNode):
def __init__(self, pipeline):
... | 0.404272 | 0.1996 |
from typing import List, Optional, TYPE_CHECKING, TypeVar, Tuple, Deque
from immutables import Map
from ..vm_utils import render_value_as_source, stringify_value
from ..builtin_utils import BuiltinModule, Fail, make_simple, vec_to_stack, stack_to_vec
from ..types import Atom, CallByValue, Code, CodeFlags, Instruction,... | gurklang/stdlib_modules/threading_.py | from typing import List, Optional, TYPE_CHECKING, TypeVar, Tuple, Deque
from immutables import Map
from ..vm_utils import render_value_as_source, stringify_value
from ..builtin_utils import BuiltinModule, Fail, make_simple, vec_to_stack, stack_to_vec
from ..types import Atom, CallByValue, Code, CodeFlags, Instruction,... | 0.72331 | 0.265755 |