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 |
|---|---|---|---|---|
from __future__ import division
from __future__ import absolute_import
from __future__ import print_function
from __future__ import unicode_literals
from abc import abstractmethod
from builtins import range
import json
from asciimatics.renderers.base import DynamicRenderer
from asciimatics.screen import Screen
from as... | asciimatics/renderers/players.py | from __future__ import division
from __future__ import absolute_import
from __future__ import print_function
from __future__ import unicode_literals
from abc import abstractmethod
from builtins import range
import json
from asciimatics.renderers.base import DynamicRenderer
from asciimatics.screen import Screen
from as... | 0.66236 | 0.131535 |
from settings import OSM_COMPONENTS, LOGGING
from httpclient.client import Client
import logging.config
import urllib3
urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning)
logging.config.dictConfig(LOGGING)
logger = logging.getLogger("osm")
class User(object):
"""Description of User class"""
... | nbiapi/user.py | from settings import OSM_COMPONENTS, LOGGING
from httpclient.client import Client
import logging.config
import urllib3
urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning)
logging.config.dictConfig(LOGGING)
logger = logging.getLogger("osm")
class User(object):
"""Description of User class"""
... | 0.755907 | 0.087291 |
"""base class for columns"""
from ELDAmwl.component.interface import ILogger
from ELDAmwl.utils.constants import NC_FILL_BYTE
from ELDAmwl.utils.constants import NC_FILL_INT
from zope import component
import numpy as np
import xarray as xr
class Columns(object):
"""
base column class (2 dimensional: (time, l... | ELDAmwl/bases/columns.py | """base class for columns"""
from ELDAmwl.component.interface import ILogger
from ELDAmwl.utils.constants import NC_FILL_BYTE
from ELDAmwl.utils.constants import NC_FILL_INT
from zope import component
import numpy as np
import xarray as xr
class Columns(object):
"""
base column class (2 dimensional: (time, l... | 0.790045 | 0.350394 |
import pytest
import pandas as pd
from delphi_utils.geomap import GeoMapper
from delphi_nchs_mortality.pull import pull_nchs_mortality_data, standardize_columns
from delphi_nchs_mortality.constants import METRICS
# export_start_date = PARAMS["indicator"]["export_start_date"]
EXPORT_DIR = "./receiving"
TOKEN = ""
c... | nchs_mortality/tests/test_pull.py | import pytest
import pandas as pd
from delphi_utils.geomap import GeoMapper
from delphi_nchs_mortality.pull import pull_nchs_mortality_data, standardize_columns
from delphi_nchs_mortality.constants import METRICS
# export_start_date = PARAMS["indicator"]["export_start_date"]
EXPORT_DIR = "./receiving"
TOKEN = ""
c... | 0.542379 | 0.582491 |
import os
import glob
import pandas as pd
import argparse
def args():
parser = argparse.ArgumentParser()
parser.add_argument("-f", "--folder", required=True,
help="Enter into the folder")
parser.add_argument("-omega", "--omega_path", required=True,
help="Enter the O... | modeling_script.py | import os
import glob
import pandas as pd
import argparse
def args():
parser = argparse.ArgumentParser()
parser.add_argument("-f", "--folder", required=True,
help="Enter into the folder")
parser.add_argument("-omega", "--omega_path", required=True,
help="Enter the O... | 0.299617 | 0.164987 |
import unittest
from mock import patch
from PyQt5.QtCore import QSettings
from inselect.gui.plugins.barcode_dialog import BarcodeDialog
from .gui_test import GUITest
class TestBarcodeDialog(GUITest):
"""Tests the config dialog box of the 'Read barcode' plugin
"""
@patch.object(QSettings, 'setValue')
... | inselect/tests/gui/test_barcode_dialog.py | import unittest
from mock import patch
from PyQt5.QtCore import QSettings
from inselect.gui.plugins.barcode_dialog import BarcodeDialog
from .gui_test import GUITest
class TestBarcodeDialog(GUITest):
"""Tests the config dialog box of the 'Read barcode' plugin
"""
@patch.object(QSettings, 'setValue')
... | 0.426083 | 0.207676 |
from typing import Pattern, Dict
import regex
from recognizers_text import RegExpUtility
from ...resources.chinese_date_time import ChineseDateTime
from ..extractors import DateTimeExtractor
from ..parsers import DateTimeParser
from ..base_dateperiod import DatePeriodParserConfiguration
from .duration_extractor impor... | Python/libraries/recognizers-date-time/recognizers_date_time/date_time/chinese/dateperiod_parser_config.py | from typing import Pattern, Dict
import regex
from recognizers_text import RegExpUtility
from ...resources.chinese_date_time import ChineseDateTime
from ..extractors import DateTimeExtractor
from ..parsers import DateTimeParser
from ..base_dateperiod import DatePeriodParserConfiguration
from .duration_extractor impor... | 0.821331 | 0.311741 |
from __future__ import print_function
from __future__ import division
from __future__ import unicode_literals
from __future__ import absolute_import
from builtins import * # NOQA
from future import standard_library
standard_library.install_aliases() # NOQA
import argparse
import os
import sys
import gym
import chain... | chokozainerrl/train_dqn_ale.py | from __future__ import print_function
from __future__ import division
from __future__ import unicode_literals
from __future__ import absolute_import
from builtins import * # NOQA
from future import standard_library
standard_library.install_aliases() # NOQA
import argparse
import os
import sys
import gym
import chain... | 0.586641 | 0.148109 |
"""Munki manifests module tests."""
import logging
from google.apputils import app
from simian.mac import models
from tests.simian.mac.common import test
from simian.mac.munki import plist
from simian.mac.munki.handlers import manifests
class HandlersTest(test.RequestHandlerTest):
def GetTestClassInstance(self)... | src/tests/simian/mac/munki/handlers/manifests_medium_test.py | """Munki manifests module tests."""
import logging
from google.apputils import app
from simian.mac import models
from tests.simian.mac.common import test
from simian.mac.munki import plist
from simian.mac.munki.handlers import manifests
class HandlersTest(test.RequestHandlerTest):
def GetTestClassInstance(self)... | 0.597843 | 0.277442 |
from typing import Optional, Union
import torch
def update_bn(
loader: torch.utils.data.DataLoader,
model: torch.nn.Module,
device: Optional[Union[str, torch.device]] = None,
num_datapoints: Optional[int] = None,
):
r"""Updates BatchNorm running_mean, running_var buffers in the model.
It perf... | afterglow/trackers/batchnorm.py | from typing import Optional, Union
import torch
def update_bn(
loader: torch.utils.data.DataLoader,
model: torch.nn.Module,
device: Optional[Union[str, torch.device]] = None,
num_datapoints: Optional[int] = None,
):
r"""Updates BatchNorm running_mean, running_var buffers in the model.
It perf... | 0.965029 | 0.634515 |
import os, sys
sys.path.insert(0, '../train-procgen/')
sys.path.insert(0, '../')
import torch
import numpy as np
from collections import deque
import hyperparams as hps
from idaac_test import evaluate
from procgen import ProcgenEnv
from baselines import logger
from baselines.common.vec_env import (
VecExtractDict... | rl-baselines/idaac_train.py | import os, sys
sys.path.insert(0, '../train-procgen/')
sys.path.insert(0, '../')
import torch
import numpy as np
from collections import deque
import hyperparams as hps
from idaac_test import evaluate
from procgen import ProcgenEnv
from baselines import logger
from baselines.common.vec_env import (
VecExtractDict... | 0.374905 | 0.149842 |
import json
import shutil
import uuid
from pathlib import Path
import pytest
from django.apps import apps
from django.core.management import call_command
from django.core.management.base import CommandError
def test_tailwind_init(installed_app):
_, app_path = installed_app
for fname in [
"apps.py",
... | tests/tests.py | import json
import shutil
import uuid
from pathlib import Path
import pytest
from django.apps import apps
from django.core.management import call_command
from django.core.management.base import CommandError
def test_tailwind_init(installed_app):
_, app_path = installed_app
for fname in [
"apps.py",
... | 0.371023 | 0.162746 |
from shipstest import ShipsTest
"""
Tests basic management of channels, i.e. creating / joining / aborting them
as well as declaring loss to close a channel in agreement.
Disputes and resolutions (which deal with protos and signatures) are left
for another test.
"""
class ChannelManagementTest (ShipsTest):
def ... | ships/gametest/channel_management.py |
from shipstest import ShipsTest
"""
Tests basic management of channels, i.e. creating / joining / aborting them
as well as declaring loss to close a channel in agreement.
Disputes and resolutions (which deal with protos and signatures) are left
for another test.
"""
class ChannelManagementTest (ShipsTest):
def ... | 0.824497 | 0.573619 |
from iconservice import *
TAG = 'Receipt'
class InterCallInterface(InterfaceScore):
@interface
def call_event_log(self, p_log_index: int, p_bool: bool, p_addr: Address, p_int: int, p_bytes: bytes, p_str: str):
pass
class Receipt(IconScoreBase):
@eventlog
def event_log_no_index(self, p_bool: ... | testsuite/data/scores/receipt/receipt.py | from iconservice import *
TAG = 'Receipt'
class InterCallInterface(InterfaceScore):
@interface
def call_event_log(self, p_log_index: int, p_bool: bool, p_addr: Address, p_int: int, p_bytes: bytes, p_str: str):
pass
class Receipt(IconScoreBase):
@eventlog
def event_log_no_index(self, p_bool: ... | 0.515864 | 0.313 |
from django.urls import reverse
from rest_framework import status
from lego.apps.quotes.models import Quote
from lego.apps.users.models import AbakusGroup, User
from lego.utils.test_utils import BaseAPITestCase
def _get_list_url():
return reverse('api:v1:quote-list')
def _get_list_approved_url():
return _g... | lego/apps/quotes/tests/test_api_quotes.py | from django.urls import reverse
from rest_framework import status
from lego.apps.quotes.models import Quote
from lego.apps.users.models import AbakusGroup, User
from lego.utils.test_utils import BaseAPITestCase
def _get_list_url():
return reverse('api:v1:quote-list')
def _get_list_approved_url():
return _g... | 0.534855 | 0.194521 |
# standard library
from unittest.mock import patch
from dateutil import parser
# third party
from django.contrib.auth import get_user_model
from django.test import TestCase
from django.test.client import RequestFactory
# local
from cyphon.fieldsets import QueryFieldset
from distilleries.models import Distillery
from ... | Incident-Response/Tools/cyphon/cyphon/query/search/tests/test_distillery_search_results.py | # standard library
from unittest.mock import patch
from dateutil import parser
# third party
from django.contrib.auth import get_user_model
from django.test import TestCase
from django.test.client import RequestFactory
# local
from cyphon.fieldsets import QueryFieldset
from distilleries.models import Distillery
from ... | 0.682468 | 0.378861 |
from json import loads
from tenable_io.api.base import BaseApi, BaseRequest
from tenable_io.api.models import CredentialList, CredentialDetails, CredentialPermission, CredentialPrimitiveType
class CredentialsApi(BaseApi):
def list(self, f=None, ft='and', limit=None, offset=0, sort=None, referrer_owner_uuid=None... | tenable_io/api/credentials.py | from json import loads
from tenable_io.api.base import BaseApi, BaseRequest
from tenable_io.api.models import CredentialList, CredentialDetails, CredentialPermission, CredentialPrimitiveType
class CredentialsApi(BaseApi):
def list(self, f=None, ft='and', limit=None, offset=0, sort=None, referrer_owner_uuid=None... | 0.770119 | 0.208259 |
import pandas as pd
from sklearn.model_selection import train_test_split
#path - Path of file
df=pd.read_csv(path)
# Code starts here
X=df.drop(['customerID','Churn'],1)
y=df['Churn'].copy()
X_train,X_test,y_train,y_test=train_test_split(X,y,test_size=.3,random_state=0)
# --------------
import numpy as np
from skl... | BOOSTING/code.py | import pandas as pd
from sklearn.model_selection import train_test_split
#path - Path of file
df=pd.read_csv(path)
# Code starts here
X=df.drop(['customerID','Churn'],1)
y=df['Churn'].copy()
X_train,X_test,y_train,y_test=train_test_split(X,y,test_size=.3,random_state=0)
# --------------
import numpy as np
from skl... | 0.17971 | 0.272153 |
__version__ = '1.1'
import requests
import json
import time
import sys
from collections import OrderedDict
import xml.etree.ElementTree as ET
from . import __version__
from .response import Checked
from .constants import base_url
from .constants import CheckResult
_agent = requests.Session()
PY3 = sys.version_info[0... | hanspell/spell_checker.py | __version__ = '1.1'
import requests
import json
import time
import sys
from collections import OrderedDict
import xml.etree.ElementTree as ET
from . import __version__
from .response import Checked
from .constants import base_url
from .constants import CheckResult
_agent = requests.Session()
PY3 = sys.version_info[0... | 0.168173 | 0.17245 |
from sympy.abc import x
from sympy.core.numbers import (I, Rational)
from sympy.core.singleton import S
from sympy.functions.elementary.miscellaneous import sqrt
from sympy.polys import Poly, cyclotomic_poly
from sympy.polys.domains import FF, QQ
from sympy.polys.matrices import DomainMatrix, DM
from sympy.polys.matric... | sympy/polys/numberfields/tests/test_utilities.py | from sympy.abc import x
from sympy.core.numbers import (I, Rational)
from sympy.core.singleton import S
from sympy.functions.elementary.miscellaneous import sqrt
from sympy.polys import Poly, cyclotomic_poly
from sympy.polys.domains import FF, QQ
from sympy.polys.matrices import DomainMatrix, DM
from sympy.polys.matric... | 0.665954 | 0.67657 |
import dataclasses
import torch
import torch.nn as nn
import torch.nn.functional as F
@dataclasses.dataclass
class Node:
inp: any
module: nn.Module
activated: bool
stride: int
dim: int
def __hash__(self):
return hash(self.module)
class NetFactory(nn.Module):
def __init__(self):
super().__in... | simnet/lib/net/models/simplenet.py | import dataclasses
import torch
import torch.nn as nn
import torch.nn.functional as F
@dataclasses.dataclass
class Node:
inp: any
module: nn.Module
activated: bool
stride: int
dim: int
def __hash__(self):
return hash(self.module)
class NetFactory(nn.Module):
def __init__(self):
super().__in... | 0.939967 | 0.396711 |
import mock
import pytest
import unittest
from svcm import exceptions
from svcm.nssm import WinSvcManagerNSSM
CONF_STUB = {
'service': {
'description': 'the_description',
'displayname': 'the_displayname',
'name': 'the_name',
'application': 'the_application',
'appdirectory':... | packages/winpanda/extra/src/winpanda/tests/unit/test_svcm_nssm.py | import mock
import pytest
import unittest
from svcm import exceptions
from svcm.nssm import WinSvcManagerNSSM
CONF_STUB = {
'service': {
'description': 'the_description',
'displayname': 'the_displayname',
'name': 'the_name',
'application': 'the_application',
'appdirectory':... | 0.477554 | 0.141163 |
import numpy, os, copy
from labutil.objects import TextFile, ExternalCode, File, Param
from labutil.util import prepare_dir, run_command
class PWscf_inparam(Param):
"""
Data class containing parameters for a Quantum Espresso PWSCF calculation
it does not include info on the cell itself, since that will be... | labutil/plugins/pwscf.py | import numpy, os, copy
from labutil.objects import TextFile, ExternalCode, File, Param
from labutil.util import prepare_dir, run_command
class PWscf_inparam(Param):
"""
Data class containing parameters for a Quantum Espresso PWSCF calculation
it does not include info on the cell itself, since that will be... | 0.504883 | 0.330917 |
import json
from distutils.dir_util import copy_tree
import os, sys
import click
from pathlib import Path
import time
import yaml
from dataherb.serve.models import SaveModel
from dataherb.serve.mkdocs_templates import site_config as _site_config
from dataherb.serve.mkdocs_templates import index_template as _index_temp... | dataherb/serve/save_mkdocs.py | import json
from distutils.dir_util import copy_tree
import os, sys
import click
from pathlib import Path
import time
import yaml
from dataherb.serve.models import SaveModel
from dataherb.serve.mkdocs_templates import site_config as _site_config
from dataherb.serve.mkdocs_templates import index_template as _index_temp... | 0.32306 | 0.130645 |
import dgl
class HeteroGraphNeighborSampler:
"""Neighbor sampler on heterogeneous graphs
Parameters
----------
g : DGLHeteroGraph
Full graph
category : str
Category name of the seed nodes.
nhops : int
Number of hops to sample/number of layers in the node flow.
f... | source/sagemaker/sagemaker_graph_german_risk/dgl_german_risk/sampler.py | import dgl
class HeteroGraphNeighborSampler:
"""Neighbor sampler on heterogeneous graphs
Parameters
----------
g : DGLHeteroGraph
Full graph
category : str
Category name of the seed nodes.
nhops : int
Number of hops to sample/number of layers in the node flow.
f... | 0.884551 | 0.596874 |
import unittest
import time
from path_condition_generator import PathConditionGenerator
from disambiguate import Disambiguator
from PyRamify import PyRamify
from t_core.matcher import Matcher
from t_core.rewriter import Rewriter
from t_core.iterator import Iterator
from t_core.messages import Packet
from t_core.tc... | tests/disambiguate_test.py | import unittest
import time
from path_condition_generator import PathConditionGenerator
from disambiguate import Disambiguator
from PyRamify import PyRamify
from t_core.matcher import Matcher
from t_core.rewriter import Rewriter
from t_core.iterator import Iterator
from t_core.messages import Packet
from t_core.tc... | 0.354321 | 0.22307 |
import robosuite as suite
from robosuite.wrappers.gym_wrapper import GymWrapper
from robosuite import load_controller_config
import maple.torch.pytorch_util as ptu
from maple.data_management.env_replay_buffer import EnvReplayBuffer
from maple.samplers.data_collector import MdpPathCollector
from maple.torch.sac.policie... | maple/launchers/robosuite_launcher.py | import robosuite as suite
from robosuite.wrappers.gym_wrapper import GymWrapper
from robosuite import load_controller_config
import maple.torch.pytorch_util as ptu
from maple.data_management.env_replay_buffer import EnvReplayBuffer
from maple.samplers.data_collector import MdpPathCollector
from maple.torch.sac.policie... | 0.554953 | 0.241305 |
import json
from decouple import config
from django.shortcuts import render
from django.http import HttpResponseRedirect
import requests
def index(request):
if request.session.get('github_user'):
pusher_key = config('PUSHER_APP_KEY')
user = json.dumps(request.session['github_user'])
contex... | backend/gitcommits/views.py | import json
from decouple import config
from django.shortcuts import render
from django.http import HttpResponseRedirect
import requests
def index(request):
if request.session.get('github_user'):
pusher_key = config('PUSHER_APP_KEY')
user = json.dumps(request.session['github_user'])
contex... | 0.225161 | 0.034036 |
from rest_framework import serializers
from rest_framework.relations import SlugRelatedField
from .models import *
class ReadersSerializer(serializers.ModelSerializer):
"""Сериализация читателей"""
class Meta:
model = Reader
fields = ('id', 'library_card', 'name', 'passport_number')
class R... | students/k3340/laboratory_works/Bakirova_Shoola/LR2-3/project_library/library/serializers.py | from rest_framework import serializers
from rest_framework.relations import SlugRelatedField
from .models import *
class ReadersSerializer(serializers.ModelSerializer):
"""Сериализация читателей"""
class Meta:
model = Reader
fields = ('id', 'library_card', 'name', 'passport_number')
class R... | 0.540681 | 0.119537 |
from typing import Callable, Tuple
import numpy as np
from numpy.typing import ArrayLike
try:
import cupy as cp
import cusignal
NO_CUPY = False
except ImportError:
NO_CUPY = True
import scipy.signal
import scipy.fft
def direct_ambiguity(
delay_bins: ArrayLike,
doppler_bins: ArrayLike,
s... | pluto_sdr_pr/processing.py | from typing import Callable, Tuple
import numpy as np
from numpy.typing import ArrayLike
try:
import cupy as cp
import cusignal
NO_CUPY = False
except ImportError:
NO_CUPY = True
import scipy.signal
import scipy.fft
def direct_ambiguity(
delay_bins: ArrayLike,
doppler_bins: ArrayLike,
s... | 0.94688 | 0.649294 |
from SimpleCV import Camera, Image
import numpy as np
import time
import serial
import RPi.GPIO as GPIO
# setup()
## arguments area
imgCropCoorList = [ (21,453),(16,240),(11,13),
(311,457),(312,241),(313,18),
(587,459),(593,242),(603,18)]
imgCropWidth, imgCropHeight = 15,15
gpioList= [ 29,31,32,
33,3... | bin/fan_trigger.py |
from SimpleCV import Camera, Image
import numpy as np
import time
import serial
import RPi.GPIO as GPIO
# setup()
## arguments area
imgCropCoorList = [ (21,453),(16,240),(11,13),
(311,457),(312,241),(313,18),
(587,459),(593,242),(603,18)]
imgCropWidth, imgCropHeight = 15,15
gpioList= [ 29,31,32,
33,3... | 0.227255 | 0.178938 |
import riemann
from riemann import simple, utils
from riemann.encoding import addresses as addr
from riemann.script import serialization as ser
riemann.select_network('zcash_sapling_main')
prevout_addr_1 = 't1S3kN4zusjHtDEwfdaCMgk132bqo9DaYW4'
prevout_addr_2 = 't1VQCUYzApF5eWf4UFAGdWwaFEpBfG2su1A'
# This is the scri... | riemann/examples/sapling_example.py | import riemann
from riemann import simple, utils
from riemann.encoding import addresses as addr
from riemann.script import serialization as ser
riemann.select_network('zcash_sapling_main')
prevout_addr_1 = 't1S3kN4zusjHtDEwfdaCMgk132bqo9DaYW4'
prevout_addr_2 = 't1VQCUYzApF5eWf4UFAGdWwaFEpBfG2su1A'
# This is the scri... | 0.391639 | 0.183887 |
from __future__ import annotations
import asyncio
import enum
import logging
import re
import threading
from typing import TYPE_CHECKING
from . import ai
from . import bitboard as bb
from .player import AIPlayer, Color, Player
if TYPE_CHECKING:
from queue import Queue
_LOGGER = logging.getLogger(__name__)
Even... | othelloai/game.py | from __future__ import annotations
import asyncio
import enum
import logging
import re
import threading
from typing import TYPE_CHECKING
from . import ai
from . import bitboard as bb
from .player import AIPlayer, Color, Player
if TYPE_CHECKING:
from queue import Queue
_LOGGER = logging.getLogger(__name__)
Even... | 0.886181 | 0.230335 |
import unittest
import os
import subprocess
class TestTaxonomicClassification(unittest.TestCase):
'''
Test the taxonomic classification workflows:
We test by checking if the correct files are created at the end of the workflow.
'''
# @classmethod
# def setUpClass(cls):
# os.ch... | test/test_taxonomic_classification.py | import unittest
import os
import subprocess
class TestTaxonomicClassification(unittest.TestCase):
'''
Test the taxonomic classification workflows:
We test by checking if the correct files are created at the end of the workflow.
'''
# @classmethod
# def setUpClass(cls):
# os.ch... | 0.159021 | 0.211112 |
import config
import os
import glob
import time
import datetime
import logging
from logging import StreamHandler, Formatter
from logging.handlers import TimedRotatingFileHandler
import sqlite3
def get_logger(logger_name):
_logger = logging.getLogger(logger_name)
file_formatter = Formatter(
'%(leveln... | thermostat.py |
import config
import os
import glob
import time
import datetime
import logging
from logging import StreamHandler, Formatter
from logging.handlers import TimedRotatingFileHandler
import sqlite3
def get_logger(logger_name):
_logger = logging.getLogger(logger_name)
file_formatter = Formatter(
'%(leveln... | 0.154791 | 0.062904 |
from random import random, randint
__all__ = ["DNA"]
# range constraint for the function being optimized
min_i, max_i = -100, +100
k_i = 22 # number of bits for the x and y variables of this problem
# a chromosome is represented by 44 binary digits, with 22 for x and 22 for y
# the convert_to_real method retrieves... | src/DNA.py | from random import random, randint
__all__ = ["DNA"]
# range constraint for the function being optimized
min_i, max_i = -100, +100
k_i = 22 # number of bits for the x and y variables of this problem
# a chromosome is represented by 44 binary digits, with 22 for x and 22 for y
# the convert_to_real method retrieves... | 0.622 | 0.484258 |
import argparse
import re
from django.core.management.base import BaseCommand, CommandError
from openpyxl import load_workbook
from account.models import Profile
from account.utils import format_phonenumber
from friend.models import PhoneContactRecord
class Command(BaseCommand):
help = 'Batch import Phone Conta... | friend/management/commands/import_phonecontact.py | import argparse
import re
from django.core.management.base import BaseCommand, CommandError
from openpyxl import load_workbook
from account.models import Profile
from account.utils import format_phonenumber
from friend.models import PhoneContactRecord
class Command(BaseCommand):
help = 'Batch import Phone Conta... | 0.158012 | 0.077797 |
import networkx as nx
import time
from random import random
class ModularityRCommunityDiscovery(object):
minimum_improvement = 0.000001
def __init__(self, graph):
self.graph = graph
self.starting_node = None
self.community = []
self.boundary = set()
self.shell = set()... | cdlib/algorithms/internal/modularity_r.py | import networkx as nx
import time
from random import random
class ModularityRCommunityDiscovery(object):
minimum_improvement = 0.000001
def __init__(self, graph):
self.graph = graph
self.starting_node = None
self.community = []
self.boundary = set()
self.shell = set()... | 0.383757 | 0.244622 |
class Solution:
def solve(self, board: List[List[str]]) -> None:
self.board = board
row = len(board)
if row <=2:return
col = len(board[0])
if col <=2: return
for i in range(row):
for j in range(col):
if board[i][j] == 'O' and (i == 0 or j ... | surrounded_regions.py | class Solution:
def solve(self, board: List[List[str]]) -> None:
self.board = board
row = len(board)
if row <=2:return
col = len(board[0])
if col <=2: return
for i in range(row):
for j in range(col):
if board[i][j] == 'O' and (i == 0 or j ... | 0.317638 | 0.57827 |
from __future__ import print_function
from time import sleep
def start_foreground_mode():
import jnius
print("STARTING FOREGROUND MODE")
Context = jnius.autoclass('android.content.Context')
Intent = jnius.autoclass('android.content.Intent')
PendingIntent = jnius.autoclass('android.app.Pendi... | pocs/pictures/customservice.py | from __future__ import print_function
from time import sleep
def start_foreground_mode():
import jnius
print("STARTING FOREGROUND MODE")
Context = jnius.autoclass('android.content.Context')
Intent = jnius.autoclass('android.content.Intent')
PendingIntent = jnius.autoclass('android.app.Pendi... | 0.422743 | 0.046292 |
import numpy as np
import pandas as pd
from pandas import DataFrame as df
from pandas import Series as sr
import matplotlib.pyplot as plt
l=[2,3,5]
def checkPrime(a):
for i in range(2,int(np.sqrt(a)+1)):
if a%i==0:
return False
return True
def prime(n=1000):
global l
if ... | math_prob2.py | import numpy as np
import pandas as pd
from pandas import DataFrame as df
from pandas import Series as sr
import matplotlib.pyplot as plt
l=[2,3,5]
def checkPrime(a):
for i in range(2,int(np.sqrt(a)+1)):
if a%i==0:
return False
return True
def prime(n=1000):
global l
if ... | 0.209389 | 0.280869 |
import logging
import json
import re
def main():
logging.basicConfig(format="%(asctime)s - %(message)s", level=logging.INFO)
with open(r'../Data/Dataset/comments.json') as f: # open master comments.json file
comments = json.load(f)
cleaned_comments = [] # storage for cleaned comment... | Scripts/clean_comments.py | import logging
import json
import re
def main():
logging.basicConfig(format="%(asctime)s - %(message)s", level=logging.INFO)
with open(r'../Data/Dataset/comments.json') as f: # open master comments.json file
comments = json.load(f)
cleaned_comments = [] # storage for cleaned comment... | 0.472927 | 0.164382 |
import os.path
import pathlib
from typing import Any, Dict, List
from pydantic import Field, validator
from emulation_system.compose_file_creator.input.hardware_models.hardware_model import (
HardwareModel,
)
from emulation_system.compose_file_creator.settings.config_file_settings import (
ROBOT_SERVER_MOUNT_... | emulation_system/emulation_system/compose_file_creator/input/hardware_models/robots/robot_model.py | import os.path
import pathlib
from typing import Any, Dict, List
from pydantic import Field, validator
from emulation_system.compose_file_creator.input.hardware_models.hardware_model import (
HardwareModel,
)
from emulation_system.compose_file_creator.settings.config_file_settings import (
ROBOT_SERVER_MOUNT_... | 0.721841 | 0.186539 |
import os
import subprocess
import pytest
from os.path import join, abspath, dirname, basename
from tests.functional.driver import Driver
from tests.functional.settings import (
testbot_apitoken, testbot_username,
driver_apitoken, driver_username, test_channel, test_group
)
TRAVIS = 'TRAVIS' in os.environ
def... | tests/functional/test_functional.py | import os
import subprocess
import pytest
from os.path import join, abspath, dirname, basename
from tests.functional.driver import Driver
from tests.functional.settings import (
testbot_apitoken, testbot_username,
driver_apitoken, driver_username, test_channel, test_group
)
TRAVIS = 'TRAVIS' in os.environ
def... | 0.246261 | 0.125627 |
from __future__ import absolute_import
from __future__ import print_function
from pprint import pprint
import collections
import logging
from django.conf import settings
from django.shortcuts import render_to_response
from django.template import RequestContext
from readthedocs.builds.constants import LATEST
from read... | readthedocs/search/views.py | from __future__ import absolute_import
from __future__ import print_function
from pprint import pprint
import collections
import logging
from django.conf import settings
from django.shortcuts import render_to_response
from django.template import RequestContext
from readthedocs.builds.constants import LATEST
from read... | 0.411347 | 0.084909 |
try:
import tkinter as tk
except:
print("You need Python 3.8 installed and Python Tkinter. This script will automatically install dependencies... :]")
import os
os.system('sudo apt-get install python3.8 python3-tk')
import tkinter as tk
window = tk.Tk()
window.title("Corn Hole!!!")
WHITE = (255, 2... | CornHole.py | try:
import tkinter as tk
except:
print("You need Python 3.8 installed and Python Tkinter. This script will automatically install dependencies... :]")
import os
os.system('sudo apt-get install python3.8 python3-tk')
import tkinter as tk
window = tk.Tk()
window.title("Corn Hole!!!")
WHITE = (255, 2... | 0.172485 | 0.070144 |
from rest_framework.serializers import *
from .models import *
class ExtraFieldSerializer(ModelSerializer):
class Meta:
model = ExtraField
fields = ('key', 'value', )
class PolicySerializer(ModelSerializer):
class Meta:
model = Policy
fields = '__all__'
class PolicyListSeri... | uav_data/api/serializers.py | from rest_framework.serializers import *
from .models import *
class ExtraFieldSerializer(ModelSerializer):
class Meta:
model = ExtraField
fields = ('key', 'value', )
class PolicySerializer(ModelSerializer):
class Meta:
model = Policy
fields = '__all__'
class PolicyListSeri... | 0.66061 | 0.083853 |
import os
import matplotlib.pyplot as plt
import itertools
import pickle
import imageio
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from torchvision import datasets, transforms
from torch.autograd import Variable
import numpy as np
# training parameters
batch_size = ... | Repopulation/main_mnist_us.py | import os
import matplotlib.pyplot as plt
import itertools
import pickle
import imageio
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from torchvision import datasets, transforms
from torch.autograd import Variable
import numpy as np
# training parameters
batch_size = ... | 0.509764 | 0.478833 |
from scipy.stats import chi2
import numpy as np
from typing import NamedTuple
import matplotlib.pyplot as plt
from warnings import warn
import enum
def clamp_step(x_origin, x_step, lb, ub):
"""Shortens a step to stay within some box constraints."""
assert np.all(
np.logical_and(x_origin >= lb, x_origi... | lumicks/pylake/fitting/profile_likelihood.py | from scipy.stats import chi2
import numpy as np
from typing import NamedTuple
import matplotlib.pyplot as plt
from warnings import warn
import enum
def clamp_step(x_origin, x_step, lb, ub):
"""Shortens a step to stay within some box constraints."""
assert np.all(
np.logical_and(x_origin >= lb, x_origi... | 0.941627 | 0.755885 |
from appJar import gui
from pyswip import Prolog
def formatText(word):
rWord=word.lower().replace(" ", "")
for l in rWord:
if l < 'a' or l> 'z':
rWord=""
break
return rWord
def formatNumber(number):
rNumber = number.replace(" ", "")
... | code.py |
from appJar import gui
from pyswip import Prolog
def formatText(word):
rWord=word.lower().replace(" ", "")
for l in rWord:
if l < 'a' or l> 'z':
rWord=""
break
return rWord
def formatNumber(number):
rNumber = number.replace(" ", "")
... | 0.090348 | 0.15084 |
from Proc import ActorProc, LearnerProc
from NetworkData import NetworkData
from SumoSim import SumoSim
import math
from multiprocessing import *
import numpy as np
from help_funcs import save_data, load_data
class DistProcs():
def __init__(self, n_actors, n_learners, mode, net_fp, args):
self.args = args
... | DistProcs.py | from Proc import ActorProc, LearnerProc
from NetworkData import NetworkData
from SumoSim import SumoSim
import math
from multiprocessing import *
import numpy as np
from help_funcs import save_data, load_data
class DistProcs():
def __init__(self, n_actors, n_learners, mode, net_fp, args):
self.args = args
... | 0.411702 | 0.233171 |
from django.conf.urls import url
from django.urls import path
from . import views
from .export import ExportCompleteEnrollingTable
urlpatterns = [
url(r'^enrolling/$', views.enrolling, name='enrolling'),
url(r'^enrolling/data/$', views.enrolling_data, name='enrolling_data'),
url(r'^enrolling/(?P<user_id>... | src/web/modules/entrance/staff/urls.py | from django.conf.urls import url
from django.urls import path
from . import views
from .export import ExportCompleteEnrollingTable
urlpatterns = [
url(r'^enrolling/$', views.enrolling, name='enrolling'),
url(r'^enrolling/data/$', views.enrolling_data, name='enrolling_data'),
url(r'^enrolling/(?P<user_id>... | 0.179207 | 0.08882 |
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from .. import _utilities
__all__ = [
'GetUserHierarchyGroupResult',
'AwaitableGetUserHierarchyGroupResult',
'get_user_hierarchy_group',
'get_user_hierarchy_group_output',
]
@pulum... | sdk/python/pulumi_aws_native/connect/get_user_hierarchy_group.py |
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from .. import _utilities
__all__ = [
'GetUserHierarchyGroupResult',
'AwaitableGetUserHierarchyGroupResult',
'get_user_hierarchy_group',
'get_user_hierarchy_group_output',
]
@pulum... | 0.794783 | 0.060169 |
import subprocess
import os
import shutil
def copy_EGS(top):
"""
Copy EGS from installation to docker
"""
src = None
try:
src = os.environ["EGS_HOME"]
except KeyError:
raise RuntimeError("No EGS_HOME found, aborting")
egsd = os.path.join(top, "egsnrc_mp")
print(egsd)
... | Docker/build_image.py |
import subprocess
import os
import shutil
def copy_EGS(top):
"""
Copy EGS from installation to docker
"""
src = None
try:
src = os.environ["EGS_HOME"]
except KeyError:
raise RuntimeError("No EGS_HOME found, aborting")
egsd = os.path.join(top, "egsnrc_mp")
print(egsd)
... | 0.311636 | 0.111773 |
import unittest
from unittest.mock import Mock
import numpy as np
from core.instrument import Instrument
from core.trade import Trade
from core.events import TradeExecutedEvent
from portfolio.portfolio import Portfolio
class TestPortfolio(unittest.TestCase):
"""
Unittest to test implementation of portfolio c... | tests/portfolio/test_portfolio.py | import unittest
from unittest.mock import Mock
import numpy as np
from core.instrument import Instrument
from core.trade import Trade
from core.events import TradeExecutedEvent
from portfolio.portfolio import Portfolio
class TestPortfolio(unittest.TestCase):
"""
Unittest to test implementation of portfolio c... | 0.679923 | 0.588061 |
import boto3
from botocore.exceptions import ClientError
import json
import logging
import os
import re
import ruamel.yaml as yaml
from . import utils
LOG = logging.getLogger(__name__)
LAMBDA_ROLE_ARN_TEMPLATE = "arn:aws:iam::{account_id}:role/{role}"
class YokeConfig(object):
def __init__(self, shellargs, pro... | yoke/config.py | import boto3
from botocore.exceptions import ClientError
import json
import logging
import os
import re
import ruamel.yaml as yaml
from . import utils
LOG = logging.getLogger(__name__)
LAMBDA_ROLE_ARN_TEMPLATE = "arn:aws:iam::{account_id}:role/{role}"
class YokeConfig(object):
def __init__(self, shellargs, pro... | 0.303216 | 0.07538 |
import pickle
import os
from modules.nlp_engine.model_builder.trainer import Trainer
from modules.services.auth_service import AuthService
from modules.data.dao.broker_dao import BrokerDao
from modules.data.dao.trained_classifier_dao import TrainedClassifierDao
from modules.utils.yaml_parser import Config
import loggin... | modules/services/training_service.py | import pickle
import os
from modules.nlp_engine.model_builder.trainer import Trainer
from modules.services.auth_service import AuthService
from modules.data.dao.broker_dao import BrokerDao
from modules.data.dao.trained_classifier_dao import TrainedClassifierDao
from modules.utils.yaml_parser import Config
import loggin... | 0.482673 | 0.087486 |
import argparse
from releasy.cli.base import BaseCli
from releasy.model_git import Project
from releasy.factory import ProjectFactory
class Match(BaseCli):
""" Test release name matches of a project """
def __init__(self):
super().__init__()
self.help = 'Test release name matches of a project'... | releasy/cli/match.py | import argparse
from releasy.cli.base import BaseCli
from releasy.model_git import Project
from releasy.factory import ProjectFactory
class Match(BaseCli):
""" Test release name matches of a project """
def __init__(self):
super().__init__()
self.help = 'Test release name matches of a project'... | 0.418459 | 0.118793 |
import json
import os
from argparse import Action
from typing import Dict, Union
from .actions import _is_action_value_list
from .loaders_dumpers import get_loader_exceptions, load_value, load_value_context
from .namespace import strip_meta
from .optionals import (
argcomplete_warn_redraw_prompt,
get_jsonsche... | jsonargparse/jsonschema.py |
import json
import os
from argparse import Action
from typing import Dict, Union
from .actions import _is_action_value_list
from .loaders_dumpers import get_loader_exceptions, load_value, load_value_context
from .namespace import strip_meta
from .optionals import (
argcomplete_warn_redraw_prompt,
get_jsonsche... | 0.683947 | 0.107954 |
import hou
import husdshadertranslators.utils as utils
from husdshadertranslators.default import DefaultShaderTranslatorHelper, renderContextName, RampParmTranslator
from pxr import Usd, UsdShade, Sdf, Vt
from itertools import izip
# TODO(pal):
# - Support putting fetch nodes in the middle of the shader graph.
# - ... | third_party/houdini/scripts/python/husdshadertranslators/arnold.py | import hou
import husdshadertranslators.utils as utils
from husdshadertranslators.default import DefaultShaderTranslatorHelper, renderContextName, RampParmTranslator
from pxr import Usd, UsdShade, Sdf, Vt
from itertools import izip
# TODO(pal):
# - Support putting fetch nodes in the middle of the shader graph.
# - ... | 0.411229 | 0.215248 |
try:
from setuptools import setup
except ImportError:
from distutils.core import setup
long_description = """
# Yandex.Checkout API Python Client Library
[](https://travis-ci.org/yandex-money/yandex-checkout-sdk-p... | setup.py | pip install --upgrade yandex_checkout
easy_install --upgrade yandex_checkout
wget https://pypi.python.org/packages/5a/be/5eafdfb14aa6f32107e9feb6514ca1ad3fe56f8e5ee59d20693b32f7e79f/yandex_checkout-1.0.0.tar.gz#md5=46595279b5578fd82a199bfd4cd51db2
tar zxf yandex_checkout-1.0.0.tar.gz
cd yandex_checkout-1.0.0
python s... | 0.542379 | 0.879716 |
from flask import current_app
from testAuxiliaryFuncs import decryptAES, getDecryptor, encryptAES
from bson import json_util, ObjectId
def test_get_user(client, auth, app):
token = auth.login('test2', 'test2')
response = client.get('/api/User', headers={"token": token})
# check response status code
... | tests/test_api_user.py | from flask import current_app
from testAuxiliaryFuncs import decryptAES, getDecryptor, encryptAES
from bson import json_util, ObjectId
def test_get_user(client, auth, app):
token = auth.login('test2', 'test2')
response = client.get('/api/User', headers={"token": token})
# check response status code
... | 0.534612 | 0.241881 |
import copy
import os.path as osp
import numpy as np
from mmflow.datasets.pipelines import LoadAnnotations, LoadImageFromFile
img1_ = osp.join(osp.dirname(__file__), '../data/00001_img1.ppm')
img2_ = osp.join(osp.dirname(__file__), '../data/00001_img2.ppm')
flow_ = osp.join(osp.dirname(__file__), '../data/00001_flow... | tests/test_datasets/test_loading.py | import copy
import os.path as osp
import numpy as np
from mmflow.datasets.pipelines import LoadAnnotations, LoadImageFromFile
img1_ = osp.join(osp.dirname(__file__), '../data/00001_img1.ppm')
img2_ = osp.join(osp.dirname(__file__), '../data/00001_img2.ppm')
flow_ = osp.join(osp.dirname(__file__), '../data/00001_flow... | 0.423696 | 0.605187 |
from typing import Dict, List, Tuple, Set, Optional
from collections import defaultdict
from . import crypto
from .crypto import G1, H1, G2, H2, add, multiply, pairing, normalize
from .crypto import PointG1, PointG2
INVALID_SHARE = -1
class Node:
n: int
t: int
idx: int # a one based index, typically a... | ethdkg/node.py | from typing import Dict, List, Tuple, Set, Optional
from collections import defaultdict
from . import crypto
from .crypto import G1, H1, G2, H2, add, multiply, pairing, normalize
from .crypto import PointG1, PointG2
INVALID_SHARE = -1
class Node:
n: int
t: int
idx: int # a one based index, typically a... | 0.902497 | 0.433802 |
from django.conf import settings
from django import forms
from crispy_forms.helper import FormHelper
from crispy_forms.layout import Submit, Layout, Fieldset, ButtonHolder, HTML
from Utuputki.manager.models import Video
from django.utils.translation import ugettext_lazy as _
import urlparse
import httplib
import json... | Utuputki/manager/forms.py |
from django.conf import settings
from django import forms
from crispy_forms.helper import FormHelper
from crispy_forms.layout import Submit, Layout, Fieldset, ButtonHolder, HTML
from Utuputki.manager.models import Video
from django.utils.translation import ugettext_lazy as _
import urlparse
import httplib
import json... | 0.44553 | 0.080973 |
from types import SimpleNamespace
import numpy as np
import torch
import pytest
from chemprop.train.loss_functions import (
bounded_mse_loss,
dirichlet_class_loss,
evidential_loss,
get_loss_func,
normal_mve,
)
# Fixtures
@pytest.fixture(params=["regression", "classification", "multiclass"])
def ... | tests/test_unit/test_loss_functions.py | from types import SimpleNamespace
import numpy as np
import torch
import pytest
from chemprop.train.loss_functions import (
bounded_mse_loss,
dirichlet_class_loss,
evidential_loss,
get_loss_func,
normal_mve,
)
# Fixtures
@pytest.fixture(params=["regression", "classification", "multiclass"])
def ... | 0.878666 | 0.58433 |
# Copyright 2019 <NAME> (Nagoya University)
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
import math
# ACOUSTIC PARAMETER
class acoustic_parameter(object):
def __init__(self, fs, feature_type="world",
shiftms=5, fftl=1024, mag=0.5,
mcep_dim_start=2, f0_dim_idx=1,
... | src/utils/param_feat.py |
# Copyright 2019 <NAME> (Nagoya University)
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
import math
# ACOUSTIC PARAMETER
class acoustic_parameter(object):
def __init__(self, fs, feature_type="world",
shiftms=5, fftl=1024, mag=0.5,
mcep_dim_start=2, f0_dim_idx=1,
... | 0.468304 | 0.141133 |
from plyer.utils import platform
from plyer.compat import PY2
from kivy.logger import Logger
if platform == 'android':
from android.broadcast import BroadcastReceiver
from . import notification
else:
notification = None
Logger.warning(
'Platform is not android, ignoring AndroidNotification and '... | app_modules/noti_builder/builder.py | from plyer.utils import platform
from plyer.compat import PY2
from kivy.logger import Logger
if platform == 'android':
from android.broadcast import BroadcastReceiver
from . import notification
else:
notification = None
Logger.warning(
'Platform is not android, ignoring AndroidNotification and '... | 0.553385 | 0.073231 |
import bagit
from bun import UI, inform, alert, alert_fatal
from collections import defaultdict
from commonpy.data_utils import flattened, parsed_datetime, pluralized
import getpass
from humanize import intcomma
import keyring
from lxml import etree
import os
from os import path, cpu_count
import plac
impor... | eprints2bags/__main__.py | import bagit
from bun import UI, inform, alert, alert_fatal
from collections import defaultdict
from commonpy.data_utils import flattened, parsed_datetime, pluralized
import getpass
from humanize import intcomma
import keyring
from lxml import etree
import os
from os import path, cpu_count
import plac
impor... | 0.248534 | 0.126731 |
import pprint
import re # noqa: F401
import six
class Currency(object):
"""NOTE: This class is auto generated by the swagger code generator program.
Do not edit the class manually.
"""
"""
Attributes:
swagger_types (dict): The key is attribute name
and the val... | swg_generated/python/swagger_client/models/currency.py | import pprint
import re # noqa: F401
import six
class Currency(object):
"""NOTE: This class is auto generated by the swagger code generator program.
Do not edit the class manually.
"""
"""
Attributes:
swagger_types (dict): The key is attribute name
and the val... | 0.722821 | 0.257929 |
import io
import os
from helper_util import relpath, source_files
from ppci import api
from ppci.utils.reporting import html_reporter
from ppci.lang.c import COptions
def create_test_function(source, output, lang):
""" Create a test function for a source file """
with open(source) as f:
snippet = f.re... | test/samples/sample_helpers.py | import io
import os
from helper_util import relpath, source_files
from ppci import api
from ppci.utils.reporting import html_reporter
from ppci.lang.c import COptions
def create_test_function(source, output, lang):
""" Create a test function for a source file """
with open(source) as f:
snippet = f.re... | 0.387459 | 0.209066 |
import pprint
import re # noqa: F401
import six
class AlertInfo(object):
"""NOTE: This class is auto generated by the swagger code generator program.
Do not edit the class manually.
"""
"""
Attributes:
swagger_types (dict): The key is attribute name
and the val... | varsom_landslide_client/models/alert_info.py | import pprint
import re # noqa: F401
import six
class AlertInfo(object):
"""NOTE: This class is auto generated by the swagger code generator program.
Do not edit the class manually.
"""
"""
Attributes:
swagger_types (dict): The key is attribute name
and the val... | 0.676299 | 0.077762 |
from binaryninja import *
import lz4.block
import struct
def unpack32(x):
return struct.unpack("<I", x)[0]
def unpack64(x):
return struct.unpack("<Q", x)[0]
def inpack32(x):
return struct.unpack("<i", x)[0]
class SwitchSection:
is_compressed = False
check_hash = False
sectionData = None
fileOffset = 0
memor... | __init__.py | from binaryninja import *
import lz4.block
import struct
def unpack32(x):
return struct.unpack("<I", x)[0]
def unpack64(x):
return struct.unpack("<Q", x)[0]
def inpack32(x):
return struct.unpack("<i", x)[0]
class SwitchSection:
is_compressed = False
check_hash = False
sectionData = None
fileOffset = 0
memor... | 0.358241 | 0.249256 |
import mock
import os.path
test_data = {
"procurementMethod": "open",
"doc_type": "Tender",
"qualificationPeriod": {
"startDate": "2017-11-14T15:15:00+02:00"
},
"date": "2017-11-15T00:01:50Z",
"owner": "test",
"_id": "tender_id",
"tenderID": "UA-2017-11-30",
"dateModified":... | reports/tests/utils.py | import mock
import os.path
test_data = {
"procurementMethod": "open",
"doc_type": "Tender",
"qualificationPeriod": {
"startDate": "2017-11-14T15:15:00+02:00"
},
"date": "2017-11-15T00:01:50Z",
"owner": "test",
"_id": "tender_id",
"tenderID": "UA-2017-11-30",
"dateModified":... | 0.383988 | 0.347482 |
from django.shortcuts import reverse
from django.test import TestCase
from posts.models import Group, Post, User
class TestCreatePost(TestCase):
def setUp(self):
self.text = 'I\'m Muzzy! I\'m big Muzzy!'
self.user = User.objects.create(username='muzzy')
self.group = Group.objects.create(t... | yatube/posts/tests/tests_posts.py | from django.shortcuts import reverse
from django.test import TestCase
from posts.models import Group, Post, User
class TestCreatePost(TestCase):
def setUp(self):
self.text = 'I\'m Muzzy! I\'m big Muzzy!'
self.user = User.objects.create(username='muzzy')
self.group = Group.objects.create(t... | 0.523664 | 0.307943 |
import unittest
from unittest.mock import (
AsyncMock,
call,
)
from uuid import (
UUID,
uuid4,
)
from psycopg2.sql import (
SQL,
)
from minos.common import (
Model,
)
from minos.common.testing import (
PostgresAsyncTestCase,
)
from minos.networks import (
BrokerMessage,
BrokerMessa... | tests/test_networks/test_brokers/test_publishers/test_publishers.py | import unittest
from unittest.mock import (
AsyncMock,
call,
)
from uuid import (
UUID,
uuid4,
)
from psycopg2.sql import (
SQL,
)
from minos.common import (
Model,
)
from minos.common.testing import (
PostgresAsyncTestCase,
)
from minos.networks import (
BrokerMessage,
BrokerMessa... | 0.754282 | 0.395134 |
"""Reddit Bot that provides downloadable links for v.redd.it videos"""
import os
import re
import urllib.parse
from urllib.error import HTTPError, URLError
from urllib.request import Request, urlopen
import praw
import requests
import yaml
from praw.models import Comment, Message
def load_configuration():
conf_... | bot.py | """Reddit Bot that provides downloadable links for v.redd.it videos"""
import os
import re
import urllib.parse
from urllib.error import HTTPError, URLError
from urllib.request import Request, urlopen
import praw
import requests
import yaml
from praw.models import Comment, Message
def load_configuration():
conf_... | 0.385953 | 0.143698 |
import collections
import context
import util
from .ordered_set import OrderedSet
class JavaValue(object):
"""A Java value, typically representing a field or a method in a Java
class and optionally a javadoc comment.
A JavaValue can have its attributes set using the optional keyword
arguments of the... | gen/tools/jnc_plugin/java_value.py | import collections
import context
import util
from .ordered_set import OrderedSet
class JavaValue(object):
"""A Java value, typically representing a field or a method in a Java
class and optionally a javadoc comment.
A JavaValue can have its attributes set using the optional keyword
arguments of the... | 0.85341 | 0.321567 |
def cast_spell(func):
"""
Wraps a function that is tied to a spell cast.
What is general for all spells is they require some resource (currently - mana)
and have a cooldown.
This decorator checks if both those needs are met, and if not, does not cast the spell.
"""
def decorator(*args, **kwa... | decorators.py | def cast_spell(func):
"""
Wraps a function that is tied to a spell cast.
What is general for all spells is they require some resource (currently - mana)
and have a cooldown.
This decorator checks if both those needs are met, and if not, does not cast the spell.
"""
def decorator(*args, **kwa... | 0.638272 | 0.37777 |
import argparse
import json
import os
import ijson
parser = argparse.ArgumentParser()
# /questions/CLEVR_test_questions.json
# Inputs
parser.add_argument('--input_questions_file', default='../data/CLEVR_v1.0/questions/CLEVR_train_questions.json',
help="JSON file containing questions information fo... | caption_generation/caption_gen.py | import argparse
import json
import os
import ijson
parser = argparse.ArgumentParser()
# /questions/CLEVR_test_questions.json
# Inputs
parser.add_argument('--input_questions_file', default='../data/CLEVR_v1.0/questions/CLEVR_train_questions.json',
help="JSON file containing questions information fo... | 0.088485 | 0.118819 |
from AirSimClient import *
import sys
import time
import argparse
class SurveyNavigator:
def __init__(self, args):
self.boxsize = args.size
self.stripewidth = args.stripewidth
self.altitude = args.altitude
self.velocity = args.speed
self.client = MultirotorClient(... | mytest/PythonClient_1.0/survey.py | from AirSimClient import *
import sys
import time
import argparse
class SurveyNavigator:
def __init__(self, args):
self.boxsize = args.size
self.stripewidth = args.stripewidth
self.altitude = args.altitude
self.velocity = args.speed
self.client = MultirotorClient(... | 0.240329 | 0.137156 |
import matplotlib.pyplot as plt
import numpy as np
import math
import re
from docopt import docopt
from benchmark import load_json, parse_benchmark, allowed_algorithms, allowed_geometries
def find_available_backends(input_jsons):
arborx_backend_regex = "[^<]*<ArborX::BVH<([^>]*)>.*"
backends = set()
for ... | scripts/benchmark_plot.py | import matplotlib.pyplot as plt
import numpy as np
import math
import re
from docopt import docopt
from benchmark import load_json, parse_benchmark, allowed_algorithms, allowed_geometries
def find_available_backends(input_jsons):
arborx_backend_regex = "[^<]*<ArborX::BVH<([^>]*)>.*"
backends = set()
for ... | 0.54359 | 0.224278 |
try:
import bpy
except ImportError:
bpy = None
class AlbamRegistry:
def __init__(self):
self.import_registry = {}
self.export_registry = {}
self._blender_panels = set()
self._blender_operators = set()
self._blender_props = {} # (bpy.type, custom_name, bpy_prop): ... | albam/registry.py | try:
import bpy
except ImportError:
bpy = None
class AlbamRegistry:
def __init__(self):
self.import_registry = {}
self.export_registry = {}
self._blender_panels = set()
self._blender_operators = set()
self._blender_props = {} # (bpy.type, custom_name, bpy_prop): ... | 0.359589 | 0.132262 |
sampleInput = """{
"data": [
{
"type": "checks",
"id": "ccc:AccountId:S3-001:S3:us-east-1:S3Bucket",
"attributes": {
"region": "us-east-1",
"status": "FAILURE",
"risk-level": "VERY_HIGH",
"pretty-risk-level": "Very High",
"message": "Bucket S3Bucket allows... | tests/unit/sample_data.py | sampleInput = """{
"data": [
{
"type": "checks",
"id": "ccc:AccountId:S3-001:S3:us-east-1:S3Bucket",
"attributes": {
"region": "us-east-1",
"status": "FAILURE",
"risk-level": "VERY_HIGH",
"pretty-risk-level": "Very High",
"message": "Bucket S3Bucket allows... | 0.482429 | 0.36727 |
import numpy as np
import pandas as pd
from scipy.spatial import Delaunay
from scipy.spatial.distance import cdist
from sklearn.linear_model import RANSACRegressor, LinearRegression
import ops.utils
def find_triangles(df):
v, c = get_vectors(df[['i', 'j']].values)
return (pd.concat([
pd.DataFrame(v).... | ops/triangle_hash.py | import numpy as np
import pandas as pd
from scipy.spatial import Delaunay
from scipy.spatial.distance import cdist
from sklearn.linear_model import RANSACRegressor, LinearRegression
import ops.utils
def find_triangles(df):
v, c = get_vectors(df[['i', 'j']].values)
return (pd.concat([
pd.DataFrame(v).... | 0.863219 | 0.636071 |
import curses
import threading
import time
from typing import Any, Dict
import workflows.transport
from workflows.services.common_service import CommonService
basestring = (str, bytes)
class Monitor: # pragma: no cover
"""A sample implementation of a status monitor showing all running services.
To use this... | src/workflows/contrib/status_monitor.py | import curses
import threading
import time
from typing import Any, Dict
import workflows.transport
from workflows.services.common_service import CommonService
basestring = (str, bytes)
class Monitor: # pragma: no cover
"""A sample implementation of a status monitor showing all running services.
To use this... | 0.744656 | 0.253953 |
import sys
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _reflection
from google.protobuf import symbol_database as _symbol_database
from google.p... | orderbook/orderbook_pb2.py |
import sys
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _reflection
from google.protobuf import symbol_database as _symbol_database
from google.p... | 0.329607 | 0.110976 |
# Copyright (C) 2009-2010 <NAME>
# This file is part of MiniINI
# For conditions of distribution and use, see copyright notice in LICENSE.txt
import random
import sys
import getopt
valtype = "string"
sections = 128
minarrays = 1
maxarrays = 2
mintags = 16
maxtags = 64
mintaglength = 4
maxtaglength = 16
minstrlength... | testgen.py |
# Copyright (C) 2009-2010 <NAME>
# This file is part of MiniINI
# For conditions of distribution and use, see copyright notice in LICENSE.txt
import random
import sys
import getopt
valtype = "string"
sections = 128
minarrays = 1
maxarrays = 2
mintags = 16
maxtags = 64
mintaglength = 4
maxtaglength = 16
minstrlength... | 0.229708 | 0.105303 |
import hypothesis.strategies as st
from caffe2.python import core, workspace
from hypothesis import given
import caffe2.python.hypothesis_test_util as hu
import numpy as np
class TestNGramOps(hu.HypothesisTestCase):
@given(
seed=st.integers(0, 2**32 - 1),
N=st.integers(min_value=10, max_value=10... | caffe2/python/operator_test/ngram_ops_test.py | import hypothesis.strategies as st
from caffe2.python import core, workspace
from hypothesis import given
import caffe2.python.hypothesis_test_util as hu
import numpy as np
class TestNGramOps(hu.HypothesisTestCase):
@given(
seed=st.integers(0, 2**32 - 1),
N=st.integers(min_value=10, max_value=10... | 0.453262 | 0.435421 |
from fastapi import APIRouter, status, Depends
from whendo.api.shared import return_success, raised_exception, get_dispatcher
from whendo.core.resolver import resolve_scheduler
from whendo.core.util import DateTime
router = APIRouter(prefix="/schedulers", tags=["Schedulers"])
@router.get("", status_code=status.HTTP_... | whendo/api/router/schedulers.py | from fastapi import APIRouter, status, Depends
from whendo.api.shared import return_success, raised_exception, get_dispatcher
from whendo.core.resolver import resolve_scheduler
from whendo.core.util import DateTime
router = APIRouter(prefix="/schedulers", tags=["Schedulers"])
@router.get("", status_code=status.HTTP_... | 0.477311 | 0.14016 |
from constants import point_symbol, PointState
class BoardSlice(object):
def __init__(self, row_offset, column_offset, slice2d, row_labels, parent):
self._slice2d = slice2d
self._row_offset = row_offset
self._column_offset = column_offset
self._row_labels = row_labels
... | boardslice.py | from constants import point_symbol, PointState
class BoardSlice(object):
def __init__(self, row_offset, column_offset, slice2d, row_labels, parent):
self._slice2d = slice2d
self._row_offset = row_offset
self._column_offset = column_offset
self._row_labels = row_labels
... | 0.62395 | 0.285262 |
from PyQt6.QtWidgets import QApplication, QWidget, QGridLayout, QMessageBox
from Assets import Assets
from Toolbox import ToolboxLeft, ToolboxTop
from ReactorGrid import ReactorGrid
from Simulation import Simulation
from InfoPanel import InfoPanel
from Historian import Historian
from MenuBar import DialogResult
from R... | Fission Reactor Simulator/MainWidget.py | from PyQt6.QtWidgets import QApplication, QWidget, QGridLayout, QMessageBox
from Assets import Assets
from Toolbox import ToolboxLeft, ToolboxTop
from ReactorGrid import ReactorGrid
from Simulation import Simulation
from InfoPanel import InfoPanel
from Historian import Historian
from MenuBar import DialogResult
from R... | 0.523664 | 0.189934 |
import scrapy
from urllib.parse import urljoin, quote
from scrapy import Selector
from scrapy.spiders import Spider
from datetime import datetime
from jobcrawler.items import JobcrawlerItem
from jobcrawler.settings import EXTENDED_REQUIREMENTS_STR
from jobcrawler.utils import change_url_params
class SkyWalkerSpider... | jobcrawler/spiders/skywalker_spider.py | import scrapy
from urllib.parse import urljoin, quote
from scrapy import Selector
from scrapy.spiders import Spider
from datetime import datetime
from jobcrawler.items import JobcrawlerItem
from jobcrawler.settings import EXTENDED_REQUIREMENTS_STR
from jobcrawler.utils import change_url_params
class SkyWalkerSpider... | 0.506591 | 0.101947 |
import string
import trio
import trio.testing
import server.initiator as initiator
import net
from server.types import Player
from typings import *
def new_half_stream_pair() -> Tuple[net.JSONStream, trio.abc.Stream]:
left, right = trio.testing.memory_stream_pair()
client = net.JSONStream(left)
return cli... | tests/server/test_initiator.py | import string
import trio
import trio.testing
import server.initiator as initiator
import net
from server.types import Player
from typings import *
def new_half_stream_pair() -> Tuple[net.JSONStream, trio.abc.Stream]:
left, right = trio.testing.memory_stream_pair()
client = net.JSONStream(left)
return cli... | 0.448185 | 0.402979 |
import numpy as np
from numpy import pi
#Code for calculating couplings (given values of Rnp and f, or an index)
#Define the grid of coupling values to evaluate over
Np = 32
Rrange = np.linspace(0.6, 1.00, Np)
frange = np.append(np.linspace(-1.0, -0.97, 3*Np/4 + 1)[:-1], np.linspace(-0.97, -0.94,Np/4))
#Format of co... | analysis/CalcParamPoint.py | import numpy as np
from numpy import pi
#Code for calculating couplings (given values of Rnp and f, or an index)
#Define the grid of coupling values to evaluate over
Np = 32
Rrange = np.linspace(0.6, 1.00, Np)
frange = np.append(np.linspace(-1.0, -0.97, 3*Np/4 + 1)[:-1], np.linspace(-0.97, -0.94,Np/4))
#Format of co... | 0.599485 | 0.622918 |
import posixpath
from memory_inspector.core import symbol
class Stacktrace(object):
"""Models a stack-trace, which is a sequence of stack |Frame|s."""
def __init__(self):
self.frames = []
def Add(self, frame):
assert(isinstance(frame, Frame))
self.frames += [frame]
@property
def depth(self)... | tools/memory_inspector/memory_inspector/core/stacktrace.py |
import posixpath
from memory_inspector.core import symbol
class Stacktrace(object):
"""Models a stack-trace, which is a sequence of stack |Frame|s."""
def __init__(self):
self.frames = []
def Add(self, frame):
assert(isinstance(frame, Frame))
self.frames += [frame]
@property
def depth(self)... | 0.923186 | 0.489381 |
import numpy as np
from warnings import warn
from ..analysis.math import Vrf2dBm
def generate_lin_array(start, stop, step=None, num=None, tol=1e-10):
"""
generate an array over a specified interval.
requires <start> and <stop> and either <step> or <num>
args:
start (Union[int, float]): starti... | mesoscopy/measurement/array.py | import numpy as np
from warnings import warn
from ..analysis.math import Vrf2dBm
def generate_lin_array(start, stop, step=None, num=None, tol=1e-10):
"""
generate an array over a specified interval.
requires <start> and <stop> and either <step> or <num>
args:
start (Union[int, float]): starti... | 0.799599 | 0.513668 |
import os
import gc
import numpy as np
import pandas as pd
from functools import partial
from features import Feature, one_hot_encoder, parallel_apply, add_features_in_group, add_trend_feature, get_feature_names_by_period, safe_div
from features.base import Base
from features.raw_data import InstallmentsPayments
from ... | src/features/installments_payments.py | import os
import gc
import numpy as np
import pandas as pd
from functools import partial
from features import Feature, one_hot_encoder, parallel_apply, add_features_in_group, add_trend_feature, get_feature_names_by_period, safe_div
from features.base import Base
from features.raw_data import InstallmentsPayments
from ... | 0.584508 | 0.300534 |
from sql_metadata import Parser
def test_getting_values():
parser = Parser(
"INSERT /* VoteHelper::addVote xxx */ "
"INTO `page_vote` (article_id,user_id,`time`) "
"VALUES ('442001','27574631','20180228130846')"
)
assert parser.values == ["442001", "27574631", "20180228130846"]
... | test/test_values.py | from sql_metadata import Parser
def test_getting_values():
parser = Parser(
"INSERT /* VoteHelper::addVote xxx */ "
"INTO `page_vote` (article_id,user_id,`time`) "
"VALUES ('442001','27574631','20180228130846')"
)
assert parser.values == ["442001", "27574631", "20180228130846"]
... | 0.571886 | 0.362687 |
from django.shortcuts import render, redirect
from django.http import HttpResponse, Http404, HttpResponseBadRequest
from django.views.defaults import bad_request
from django.urls import reverse
from urllib.parse import urlencode
import datetime
import requests
from utils import SNI_URL, SNI_DYNAMIC_TOKEN, SNI_TEMP_US... | group/views.py | from django.shortcuts import render, redirect
from django.http import HttpResponse, Http404, HttpResponseBadRequest
from django.views.defaults import bad_request
from django.urls import reverse
from urllib.parse import urlencode
import datetime
import requests
from utils import SNI_URL, SNI_DYNAMIC_TOKEN, SNI_TEMP_US... | 0.47658 | 0.082512 |