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 argparse
from pathlib import Path
import torch
import torch.backends.cudnn as cudnn
import data
from experiment import Experiment
import faulthandler
faulthandler.enable()
"""
nohup python run.py --lr 1e-3 --num_workers 4 --batch_size 4 --epochs 60 --cuda --ngpu 1 --refs 2 --patch_size 35 --patch_stride 30 -... | run.py | import argparse
from pathlib import Path
import torch
import torch.backends.cudnn as cudnn
import data
from experiment import Experiment
import faulthandler
faulthandler.enable()
"""
nohup python run.py --lr 1e-3 --num_workers 4 --batch_size 4 --epochs 60 --cuda --ngpu 1 --refs 2 --patch_size 35 --patch_stride 30 -... | 0.539226 | 0.123075 |
import json
from flask import request
from config.constants import Constants
from config.appconfig import app
from config.message_cn import MessageConstants_CN
from services.department_service import DepartmentService
@app.route('/query_department/<shopId>/<parentId>',methods=['GET'])
def query_department(shopId,pare... | controller/department_controller.py |
import json
from flask import request
from config.constants import Constants
from config.appconfig import app
from config.message_cn import MessageConstants_CN
from services.department_service import DepartmentService
@app.route('/query_department/<shopId>/<parentId>',methods=['GET'])
def query_department(shopId,pare... | 0.152347 | 0.04197 |
import copy
import functools
import re
import cerberus
import cerberus.errors
from molecule import interpolation
from molecule import util
def coerce_env(env, keep_string, v):
i = interpolation.Interpolator(interpolation.TemplateWithDefaults, env)
return i.interpolate(v, keep_string)
def pre_validate_ba... | molecule/model/schema_v2.py |
import copy
import functools
import re
import cerberus
import cerberus.errors
from molecule import interpolation
from molecule import util
def coerce_env(env, keep_string, v):
i = interpolation.Interpolator(interpolation.TemplateWithDefaults, env)
return i.interpolate(v, keep_string)
def pre_validate_ba... | 0.423816 | 0.180179 |
from gurobipy import *
import sys
"""
Input Format:
# X - Num of defender actions
# ---
# X * X matrix -- (i, j) represents cost to switch from configuration i to j
# ---
# Num Attackers
# Prob of each attacker
# Attack names of each attacker seperated by |
# ---
# X * Attack actions -- Utility matrix showcasing (Rew... | src/switch_cost_DOBSS/cost_BSG_miqp.py |
from gurobipy import *
import sys
"""
Input Format:
# X - Num of defender actions
# ---
# X * X matrix -- (i, j) represents cost to switch from configuration i to j
# ---
# Num Attackers
# Prob of each attacker
# Attack names of each attacker seperated by |
# ---
# X * Attack actions -- Utility matrix showcasing (Rew... | 0.443841 | 0.37399 |
import sys
import os
this_path = os.path.dirname(os.path.realpath(__file__))
root_path = os.path.abspath(os.path.join(this_path, os.pardir, os.pardir))
sys.path.append(root_path)
print(root_path)
from model.probability.generator import DataGenerator
from keras.callbacks import EarlyStopping, TensorBoard
from dataset... | model/probability/train.py | import sys
import os
this_path = os.path.dirname(os.path.realpath(__file__))
root_path = os.path.abspath(os.path.join(this_path, os.pardir, os.pardir))
sys.path.append(root_path)
print(root_path)
from model.probability.generator import DataGenerator
from keras.callbacks import EarlyStopping, TensorBoard
from dataset... | 0.461017 | 0.121895 |
## \package pts.evolve.genomebase This module have the class which every representation extends,
# if you are planning to create a new representation, you must
# take a inside look into this module.
# -----------------------------------------------------------------
# Import standard modules
import inspect
# Impo... | CAAPR/CAAPR_AstroMagic/PTS/pts/evolve/genome.py |
## \package pts.evolve.genomebase This module have the class which every representation extends,
# if you are planning to create a new representation, you must
# take a inside look into this module.
# -----------------------------------------------------------------
# Import standard modules
import inspect
# Impo... | 0.811974 | 0.351116 |
from copy import (
deepcopy,
)
import json
import os
from typing import (
Optional,
Tuple,
Union,
cast,
)
import attr
from azul import (
CatalogName,
IndexName,
config,
)
from azul.indexer import (
Bundle,
BundleFQID,
SourcedBundleFQID,
)
from azul.indexer.index_service imp... | test/indexer/__init__.py | from copy import (
deepcopy,
)
import json
import os
from typing import (
Optional,
Tuple,
Union,
cast,
)
import attr
from azul import (
CatalogName,
IndexName,
config,
)
from azul.indexer import (
Bundle,
BundleFQID,
SourcedBundleFQID,
)
from azul.indexer.index_service imp... | 0.728459 | 0.212702 |
from collections import OrderedDict
import json
import string
import torch
import pyprob
from pyprob import Model
import pyprob.distributions as dists
def format_cc(cc, cc_format) -> str:
if cc_format == 0: return ""
elif cc_format == 1: return "+" + cc
elif cc_format == 2: return "+" + cc
elif cc_fo... | primitives_ubc/phoneParser/infcomp.py | from collections import OrderedDict
import json
import string
import torch
import pyprob
from pyprob import Model
import pyprob.distributions as dists
def format_cc(cc, cc_format) -> str:
if cc_format == 0: return ""
elif cc_format == 1: return "+" + cc
elif cc_format == 2: return "+" + cc
elif cc_fo... | 0.718792 | 0.31338 |
from typing import Union
import numpy as np
class ContextualBandit(object):
"""
Base Class for a Multi-armed Bandit
:param bandits: Number of bandits
:param arms: Number of arms in each bandit
:type bandits: int
:type arms: int
"""
def __init__(self, bandits: int = 1, arms: int = 1)... | genrl/classical/bandit/contextual_bandits.py | from typing import Union
import numpy as np
class ContextualBandit(object):
"""
Base Class for a Multi-armed Bandit
:param bandits: Number of bandits
:param arms: Number of arms in each bandit
:type bandits: int
:type arms: int
"""
def __init__(self, bandits: int = 1, arms: int = 1)... | 0.966797 | 0.827689 |
import itertools
import numpy as np
from novelpy.utils.run_indicator_tools import Dataset
import pymongo
import tqdm
from sklearn.metrics.pairwise import cosine_similarity
import json
import os
def cosine_similarity_dist(n,doc_mat):
"""
Description
-----------
Compute a list of cosine similarity for al... | novelpy/indicators/Shibayama2021.py | import itertools
import numpy as np
from novelpy.utils.run_indicator_tools import Dataset
import pymongo
import tqdm
from sklearn.metrics.pairwise import cosine_similarity
import json
import os
def cosine_similarity_dist(n,doc_mat):
"""
Description
-----------
Compute a list of cosine similarity for al... | 0.719778 | 0.233138 |
import re
import six
from huaweicloudsdkcore.sdk_response import SdkResponse
from huaweicloudsdkcore.utils.http_utils import sanitize_for_serialization
class CreateRecordRuleResponse(SdkResponse):
"""
Attributes:
openapi_types (dict): The key is attribute name
and the va... | huaweicloud-sdk-cloudrtc/huaweicloudsdkcloudrtc/v2/model/create_record_rule_response.py |
import re
import six
from huaweicloudsdkcore.sdk_response import SdkResponse
from huaweicloudsdkcore.utils.http_utils import sanitize_for_serialization
class CreateRecordRuleResponse(SdkResponse):
"""
Attributes:
openapi_types (dict): The key is attribute name
and the va... | 0.477554 | 0.08772 |
from collections import namedtuple
import functools
import re
from core.libs.peewee import *
from core.libs.peewee import CommaClause
from core.libs.peewee import EnclosedClause
from core.libs.peewee import Entity
from core.libs.peewee import Expression
from core.libs.peewee import Node
from core.libs.peewee import OP... | mercury/core/libs/playhouse/migrate.py | from collections import namedtuple
import functools
import re
from core.libs.peewee import *
from core.libs.peewee import CommaClause
from core.libs.peewee import EnclosedClause
from core.libs.peewee import Entity
from core.libs.peewee import Expression
from core.libs.peewee import Node
from core.libs.peewee import OP... | 0.776114 | 0.116663 |
import ipaddress
import json
import re
import string
import sys
from datetime import datetime
# Phantom App imports
import phantom.app as phantom
import requests
from bs4 import BeautifulSoup
from phantom.action_result import ActionResult
from phantom.base_connector import BaseConnector
from phantom.vault import Vault... | kennasecurity_connector.py | import ipaddress
import json
import re
import string
import sys
from datetime import datetime
# Phantom App imports
import phantom.app as phantom
import requests
from bs4 import BeautifulSoup
from phantom.action_result import ActionResult
from phantom.base_connector import BaseConnector
from phantom.vault import Vault... | 0.489259 | 0.134634 |
import collections
import tensorflow as tf
from object_detection.utils import ops
slim = tf.contrib.slim
def get_depth_fn(depth_multiplier, min_depth):
"""Builds a callable to compute depth (output channels) of conv filters.
Args:
depth_multiplier: a multiplier for the nominal depth.
min_depth... | object_detection/models/feature_map_generators.py | import collections
import tensorflow as tf
from object_detection.utils import ops
slim = tf.contrib.slim
def get_depth_fn(depth_multiplier, min_depth):
"""Builds a callable to compute depth (output channels) of conv filters.
Args:
depth_multiplier: a multiplier for the nominal depth.
min_depth... | 0.897471 | 0.64855 |
from typing import Set, List, Dict, Tuple
import requests
import datetime as dt
from bs4 import BeautifulSoup as bs
import re
import calendar
from selenium.common.exceptions import TimeoutException
import config as conf
import pickle as pk
import os.path
from selenium import webdriver
from selenium.webdriver.firefox.... | scraping/import_media.py | from typing import Set, List, Dict, Tuple
import requests
import datetime as dt
from bs4 import BeautifulSoup as bs
import re
import calendar
from selenium.common.exceptions import TimeoutException
import config as conf
import pickle as pk
import os.path
from selenium import webdriver
from selenium.webdriver.firefox.... | 0.397471 | 0.164449 |
"""Tests for the McAfee AV Log parser."""
import unittest
# pylint: disable=unused-import
from plaso.formatters import mcafeeav as mcafeeav_formatter
from plaso.lib import eventdata
from plaso.parsers import mcafeeav
from plaso.parsers import test_lib
class McafeeAccessProtectionUnitTest(test_lib.ParserTestCase):
... | plaso/parsers/mcafeeav_test.py | """Tests for the McAfee AV Log parser."""
import unittest
# pylint: disable=unused-import
from plaso.formatters import mcafeeav as mcafeeav_formatter
from plaso.lib import eventdata
from plaso.parsers import mcafeeav
from plaso.parsers import test_lib
class McafeeAccessProtectionUnitTest(test_lib.ParserTestCase):
... | 0.726037 | 0.357287 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import collections
from tensorflow.contrib import layers as layers_lib
from tensorflow.contrib.framework.python.ops import add_arg_scope
from tensorflow.contrib.framework.python.ops import arg_scope
f... | vendor/tensorboxresnet/tensorboxresnet/utils/slim_nets/resnet_utils.py | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import collections
from tensorflow.contrib import layers as layers_lib
from tensorflow.contrib.framework.python.ops import add_arg_scope
from tensorflow.contrib.framework.python.ops import arg_scope
f... | 0.955005 | 0.496887 |
from os.path import join, realpath
from hummingbot.strategy.market_trading_pair_tuple import MarketTradingPairTuple
from decimal import Decimal
import math
import logging; logging.basicConfig(level=logging.ERROR)
import pandas as pd
from typing import List
import unittest
from hummingsim.backtest.backtest_market impor... | test/hummingbot/strategy/dev_5_tvap/test_vwap.py |
from os.path import join, realpath
from hummingbot.strategy.market_trading_pair_tuple import MarketTradingPairTuple
from decimal import Decimal
import math
import logging; logging.basicConfig(level=logging.ERROR)
import pandas as pd
from typing import List
import unittest
from hummingsim.backtest.backtest_market impor... | 0.595257 | 0.172939 |
from collections import namedtuple
import netCDF4
import numpy as np
import numpy.ma as ma
from cloudnetpy.instruments.ceilometer import Ceilometer
from cloudnetpy import utils
instrument_info = namedtuple('instrument_info',
['calibration_factor',
'overlap_fun... | cloudnetpy/instruments/jenoptik.py | from collections import namedtuple
import netCDF4
import numpy as np
import numpy.ma as ma
from cloudnetpy.instruments.ceilometer import Ceilometer
from cloudnetpy import utils
instrument_info = namedtuple('instrument_info',
['calibration_factor',
'overlap_fun... | 0.573201 | 0.3398 |
import os
import numpy as np
import torch
import collections
from utils.logger import logger
from utils.logger import create_stats_ordered_dict
from utils import utils
class Trainer(object):
def __init__(self, agent, expl_env, eval_env, replay_buffer, device, start_timesteps=25e3):
self.agent = agent
... | trainer.py | import os
import numpy as np
import torch
import collections
from utils.logger import logger
from utils.logger import create_stats_ordered_dict
from utils import utils
class Trainer(object):
def __init__(self, agent, expl_env, eval_env, replay_buffer, device, start_timesteps=25e3):
self.agent = agent
... | 0.44553 | 0.249699 |
import abc
from typing import List
import pandas as pd
from genomics_data_index.configuration.connector.DataIndexConnection import DataIndexConnection
from genomics_data_index.storage.SampleSet import SampleSet, AllSampleSet
class FeaturesComparator(abc.ABC):
FEATURES_SELECTIONS = ['all', 'unique']
def __i... | genomics_data_index/api/query/features/FeaturesComparator.py | import abc
from typing import List
import pandas as pd
from genomics_data_index.configuration.connector.DataIndexConnection import DataIndexConnection
from genomics_data_index.storage.SampleSet import SampleSet, AllSampleSet
class FeaturesComparator(abc.ABC):
FEATURES_SELECTIONS = ['all', 'unique']
def __i... | 0.85753 | 0.54577 |
import math
from unittest import mock
import numpy as np
import pybullet
import pybullet_utils.bullet_client as bc
import pytest
from direct.showbase.ShowBase import ShowBase
import random
from pathlib import Path
import multiprocessing as mp
from smarts.core.chassis import AckermannChassis
from smarts.core.controll... | smarts/core/tests/test_trajectory_controller.py | import math
from unittest import mock
import numpy as np
import pybullet
import pybullet_utils.bullet_client as bc
import pytest
from direct.showbase.ShowBase import ShowBase
import random
from pathlib import Path
import multiprocessing as mp
from smarts.core.chassis import AckermannChassis
from smarts.core.controll... | 0.714927 | 0.328301 |
from multiprocessing import Process, Queue
from fizzbuzz_utils import fizzbuzz as fizzbuzz
from fizzbuzz_utils import printer as printer
from fizzbuzz_utils import even as even
from fizzbuzz_utils import numbers as numbers
class PLPipeSentinel: pass
def pl_run_numbers(pl_stream, pl_out_queue):
for pl_data in pl_stream... | tests/fizzbuzz.py | from multiprocessing import Process, Queue
from fizzbuzz_utils import fizzbuzz as fizzbuzz
from fizzbuzz_utils import printer as printer
from fizzbuzz_utils import even as even
from fizzbuzz_utils import numbers as numbers
class PLPipeSentinel: pass
def pl_run_numbers(pl_stream, pl_out_queue):
for pl_data in pl_stream... | 0.205535 | 0.206134 |
import logging
from abc import ABC, abstractmethod
from pathlib import Path
from typing import Any, Dict, Tuple
import numpy as np
from pymatgen.electronic_structure.core import Spin
from tabulate import tabulate
from amset.constants import (
boltzmann_au,
coulomb_to_au,
ev_to_hartree,
gpa_to_au,
... | amset/scattering/elastic.py | import logging
from abc import ABC, abstractmethod
from pathlib import Path
from typing import Any, Dict, Tuple
import numpy as np
from pymatgen.electronic_structure.core import Spin
from tabulate import tabulate
from amset.constants import (
boltzmann_au,
coulomb_to_au,
ev_to_hartree,
gpa_to_au,
... | 0.864739 | 0.231549 |
from mesos.exceptions import MesosException
class Encoder():
"""
Encode an arbitray message type into a 'RecordIO' message.
This class encapsulates the process of encoding an
arbitrary message into a 'RecordIO' message. Its
constructor takes a serialization function of the form
'serialize(mes... | src/python/lib/mesos/recordio.py | from mesos.exceptions import MesosException
class Encoder():
"""
Encode an arbitray message type into a 'RecordIO' message.
This class encapsulates the process of encoding an
arbitrary message into a 'RecordIO' message. Its
constructor takes a serialization function of the form
'serialize(mes... | 0.919265 | 0.509825 |
from flask_wtf import FlaskForm
from wtforms import StringField, PasswordField, BooleanField, SubmitField
from wtforms.validators import DataRequired, Length, Email, Regexp, EqualTo
from wtforms import ValidationError
from ..models import User
class LoginForm(FlaskForm):
email = StringField('Email', validat... | app/auth/forms.py | from flask_wtf import FlaskForm
from wtforms import StringField, PasswordField, BooleanField, SubmitField
from wtforms.validators import DataRequired, Length, Email, Regexp, EqualTo
from wtforms import ValidationError
from ..models import User
class LoginForm(FlaskForm):
email = StringField('Email', validat... | 0.388966 | 0.130535 |
import warnings
import numpy as np
from nengo.base import Process
from nengo.dists import DistributionParam, Gaussian
from nengo.exceptions import ValidationError
from nengo.params import BoolParam, DictParam, EnumParam, NdarrayParam, NumberParam
from nengo.synapses import LinearFilter, Lowpass, SynapseParam
from nen... | nengo/processes.py | import warnings
import numpy as np
from nengo.base import Process
from nengo.dists import DistributionParam, Gaussian
from nengo.exceptions import ValidationError
from nengo.params import BoolParam, DictParam, EnumParam, NdarrayParam, NumberParam
from nengo.synapses import LinearFilter, Lowpass, SynapseParam
from nen... | 0.885792 | 0.681584 |
import itertools
from itertools import combinations
import copy
from functools import reduce
from operator import mul
import numpy as np
from qiskit.exceptions import QiskitError
class SpecialPolynomial:
"""Multivariate polynomial with special form.
Maximum degree 3, n Z_2 variables, coefficients in Z_8.
... | qiskit/quantum_info/operators/dihedral/polynomial.py | import itertools
from itertools import combinations
import copy
from functools import reduce
from operator import mul
import numpy as np
from qiskit.exceptions import QiskitError
class SpecialPolynomial:
"""Multivariate polynomial with special form.
Maximum degree 3, n Z_2 variables, coefficients in Z_8.
... | 0.838051 | 0.397471 |
import cocos
import pyglet
import random
import socket
import math
random.seed()
class UILayer(cocos.layer.Layer):
"""
"""
lives_remaining_legend = 'Lives: '
def __init__(self):
""" """
super( UILayer, self ).__init__()
width, height = cocos.director.direct... | CommonLayers.py | import cocos
import pyglet
import random
import socket
import math
random.seed()
class UILayer(cocos.layer.Layer):
"""
"""
lives_remaining_legend = 'Lives: '
def __init__(self):
""" """
super( UILayer, self ).__init__()
width, height = cocos.director.direct... | 0.512449 | 0.185062 |
import logging
import hmac
import hashlib
from datetime import datetime
import requests
import json
from socketio import AsyncClient
from .const import (
DOMAIN,
VOIPCENTER_API_ENDPOINT,
VOIPCENTER_WS_ENDPOINT
)
_LOGGER = logging.getLogger(__name__)
class VoipcenterApi:
"""
Simple class to impl... | custom_components/voipcenter/voipcenter.py | import logging
import hmac
import hashlib
from datetime import datetime
import requests
import json
from socketio import AsyncClient
from .const import (
DOMAIN,
VOIPCENTER_API_ENDPOINT,
VOIPCENTER_WS_ENDPOINT
)
_LOGGER = logging.getLogger(__name__)
class VoipcenterApi:
"""
Simple class to impl... | 0.493897 | 0.12921 |
import json
import unittest
import mock
from airflow.exceptions import AirflowException
from airflow.providers.slack.operators.slack import SlackAPIPostOperator
class TestSlackAPIPostOperator(unittest.TestCase):
def setUp(self):
self.test_username = 'test_username'
self.test_channel = '#test_sl... | tests/providers/slack/operators/test_slack.py |
import json
import unittest
import mock
from airflow.exceptions import AirflowException
from airflow.providers.slack.operators.slack import SlackAPIPostOperator
class TestSlackAPIPostOperator(unittest.TestCase):
def setUp(self):
self.test_username = 'test_username'
self.test_channel = '#test_sl... | 0.611382 | 0.414543 |
import logging
import time
import usb.core
import usb.util
from .util import *
_MEM_IDENT = 0x0904
_MEM_WRITE = 0x0914
_MEM_READ = 0x0924
_CRC8_POLYNOMIAL = 0x31
_CRC8_INIT = 0xFF
_CMD_NOOP = 0b000
_CMD_GET = 0b001
_CMD_SET = 0b010
_CMD_SAVE = 0b100
_CMD_RESET = 0b111
_WAIT = 0.1
_NAME_RO = [
'p... | capablerobot_usbhub/config.py |
import logging
import time
import usb.core
import usb.util
from .util import *
_MEM_IDENT = 0x0904
_MEM_WRITE = 0x0914
_MEM_READ = 0x0924
_CRC8_POLYNOMIAL = 0x31
_CRC8_INIT = 0xFF
_CMD_NOOP = 0b000
_CMD_GET = 0b001
_CMD_SET = 0b010
_CMD_SAVE = 0b100
_CMD_RESET = 0b111
_WAIT = 0.1
_NAME_RO = [
'p... | 0.41052 | 0.139866 |
from django.urls import path
from extras.views import ObjectChangeLogView
from ipam.views import ServiceCreateView
from . import views
from .models import Cluster, ClusterGroup, ClusterType, VirtualMachine
app_name = 'virtualization'
urlpatterns = [
# Cluster types
path(r'cluster-types/', views.ClusterTypeLi... | netbox/virtualization/urls.py | from django.urls import path
from extras.views import ObjectChangeLogView
from ipam.views import ServiceCreateView
from . import views
from .models import Cluster, ClusterGroup, ClusterType, VirtualMachine
app_name = 'virtualization'
urlpatterns = [
# Cluster types
path(r'cluster-types/', views.ClusterTypeLi... | 0.398172 | 0.105441 |
import unittest
from meu_grafo_matriz_adjacencia_nao_dir import *
from bibgrafo.grafo_exceptions import *
class TestGrafo(unittest.TestCase):
def setUp(self):
# Grafo da Paraíba
self.g_p = MeuGrafo(['J', 'C', 'E', 'P', 'M', 'T', 'Z'])
self.g_p.adicionaAresta('a1', 'J', 'C')
self.g_p.adicionaAresta('... | Roteiro 6/grafo_test.py | import unittest
from meu_grafo_matriz_adjacencia_nao_dir import *
from bibgrafo.grafo_exceptions import *
class TestGrafo(unittest.TestCase):
def setUp(self):
# Grafo da Paraíba
self.g_p = MeuGrafo(['J', 'C', 'E', 'P', 'M', 'T', 'Z'])
self.g_p.adicionaAresta('a1', 'J', 'C')
self.g_p.adicionaAresta('... | 0.354433 | 0.302468 |
__author__ = 'yangjian'
"""
"""
import copy
import time
import pandas as pd
from hypernets.conf import configure, Configurable, String, Int as cfg_int
from hypernets.core import TrialHistory, Trial, EarlyStoppingError
from hypernets.core.ops import Identity, HyperInput
from hypernets.core.search_space import HyperSpa... | hypernets/utils/param_tuning.py | __author__ = 'yangjian'
"""
"""
import copy
import time
import pandas as pd
from hypernets.conf import configure, Configurable, String, Int as cfg_int
from hypernets.core import TrialHistory, Trial, EarlyStoppingError
from hypernets.core.ops import Identity, HyperInput
from hypernets.core.search_space import HyperSpa... | 0.512205 | 0.145176 |
import os
from typing import Any, Dict, Optional
from flyteidl.core import literals_pb2 as _literals_pb2
from flytekit.clients.helpers import iterate_node_executions as _iterate_node_executions
from flytekit.common import utils as _common_utils
from flytekit.common.exceptions import user as _user_exceptions
from flyt... | flytekit/remote/tasks/executions.py | import os
from typing import Any, Dict, Optional
from flyteidl.core import literals_pb2 as _literals_pb2
from flytekit.clients.helpers import iterate_node_executions as _iterate_node_executions
from flytekit.common import utils as _common_utils
from flytekit.common.exceptions import user as _user_exceptions
from flyt... | 0.779741 | 0.119974 |
import pickle
import numpy as np
from typing import TextIO
from tight_binding_base_connection import DataBaseConnection
class DataManager(object):
def __init__(self, helpers, settings):
self.__helpers = helpers
self.__settings = settings
self.__dbconnection = DataBaseConnection(settings, ... | tightbinding_code/data_manager.py | import pickle
import numpy as np
from typing import TextIO
from tight_binding_base_connection import DataBaseConnection
class DataManager(object):
def __init__(self, helpers, settings):
self.__helpers = helpers
self.__settings = settings
self.__dbconnection = DataBaseConnection(settings, ... | 0.702122 | 0.158174 |
from django.test import TestCase, Client
from django.core.urlresolvers import reverse
from django.utils import timezone
from django.contrib.auth.models import User
from geoposition import Geoposition
from time import sleep
from seshdash.models import Alert_Rule, Sesh_Site, Sesh_User, Sesh_Organisation
from seshdash.d... | seshdash/tests/test_settings.py | from django.test import TestCase, Client
from django.core.urlresolvers import reverse
from django.utils import timezone
from django.contrib.auth.models import User
from geoposition import Geoposition
from time import sleep
from seshdash.models import Alert_Rule, Sesh_Site, Sesh_User, Sesh_Organisation
from seshdash.d... | 0.431345 | 0.247538 |
from django.apps import AppConfig
from baserow.core.registries import (
plugin_registry,
application_type_registry,
)
from baserow.core.trash.registries import trash_item_type_registry
from baserow.ws.registries import page_registry
class DatabaseConfig(AppConfig):
name = "baserow.contrib.database"
... | backend/src/baserow/contrib/database/apps.py | from django.apps import AppConfig
from baserow.core.registries import (
plugin_registry,
application_type_registry,
)
from baserow.core.trash.registries import trash_item_type_registry
from baserow.ws.registries import page_registry
class DatabaseConfig(AppConfig):
name = "baserow.contrib.database"
... | 0.586168 | 0.231462 |
import numpy as np
import open3d as o3d
import time
import os
import sys
pyexample_path = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
sys.path.append(pyexample_path)
import open3d_example as o3dex
def problem0():
mesh = o3dex.get_plane_mesh(height=1, width=1)
mesh = mesh.subdivide_midpoint(... | examples/python/geometry/triangle_mesh_deformation.py |
import numpy as np
import open3d as o3d
import time
import os
import sys
pyexample_path = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
sys.path.append(pyexample_path)
import open3d_example as o3dex
def problem0():
mesh = o3dex.get_plane_mesh(height=1, width=1)
mesh = mesh.subdivide_midpoint(... | 0.376623 | 0.274731 |
import torch
import torch.nn as nn
import torch.nn.functional as F
import numpy as np
from .channel_attention import *
class UNet_up_block(nn.Module):
def __init__(self, prev_channel, input_channel, output_channel, up_sample=True, use_skip=True):
super().__init__()
self.up_sampling = nn.Upsample(s... | paper_code/models/unet.py | import torch
import torch.nn as nn
import torch.nn.functional as F
import numpy as np
from .channel_attention import *
class UNet_up_block(nn.Module):
def __init__(self, prev_channel, input_channel, output_channel, up_sample=True, use_skip=True):
super().__init__()
self.up_sampling = nn.Upsample(s... | 0.951425 | 0.315248 |
import numpy as np
import xgboost as xgb
import sys
import pytest
sys.path.append("tests/python")
import testing as tm
def dmatrix_from_cupy(input_type, DMatrixT, missing=np.NAN):
'''Test constructing DMatrix from cupy'''
import cupy as cp
kRows = 80
kCols = 3
np_X = np.random.randn(kRows, kCol... | tests/python-gpu/test_from_cupy.py | import numpy as np
import xgboost as xgb
import sys
import pytest
sys.path.append("tests/python")
import testing as tm
def dmatrix_from_cupy(input_type, DMatrixT, missing=np.NAN):
'''Test constructing DMatrix from cupy'''
import cupy as cp
kRows = 80
kCols = 3
np_X = np.random.randn(kRows, kCol... | 0.405096 | 0.438725 |
import markdown
from markdown.treeprocessors import Treeprocessor
from markdown import Extension
from markdown.util import etree
import re
from copy import copy
GROUP_RE = r'(^(@\{(?P<lightbox>.+)\})(?P<description>.*))'
HIDDEN_RE = r'(^(!)(?P<description>.*))'
class LightboxImagesTreeprocessor(Treeprocessor):
... | mdx_lightbox.py | import markdown
from markdown.treeprocessors import Treeprocessor
from markdown import Extension
from markdown.util import etree
import re
from copy import copy
GROUP_RE = r'(^(@\{(?P<lightbox>.+)\})(?P<description>.*))'
HIDDEN_RE = r'(^(!)(?P<description>.*))'
class LightboxImagesTreeprocessor(Treeprocessor):
... | 0.417746 | 0.14814 |
from __future__ import absolute_import
import unittest
import datetime
import openapi_client
from openapi_client.models.provider_out import ProviderOut # noqa: E501
from openapi_client.rest import ApiException
class TestProviderOut(unittest.TestCase):
"""ProviderOut unit test stubs"""
def setUp(self):
... | test/test_provider_out.py | from __future__ import absolute_import
import unittest
import datetime
import openapi_client
from openapi_client.models.provider_out import ProviderOut # noqa: E501
from openapi_client.rest import ApiException
class TestProviderOut(unittest.TestCase):
"""ProviderOut unit test stubs"""
def setUp(self):
... | 0.553264 | 0.100746 |
import argparse
import pywinusb.hid as hid
def main():
# Get Device, catch exception if not found
try:
device = hid.HidDeviceFilter(vendor_id = 0x04D8, product_id = 0xF372).get_devices()[0]
except:
print 'Device Error'
raise SystemExit
# Setup argument parser
parser = initA... | luxafor-win.py | import argparse
import pywinusb.hid as hid
def main():
# Get Device, catch exception if not found
try:
device = hid.HidDeviceFilter(vendor_id = 0x04D8, product_id = 0xF372).get_devices()[0]
except:
print 'Device Error'
raise SystemExit
# Setup argument parser
parser = initA... | 0.311636 | 0.167797 |
import RPi.GPIO as GPIO
import MFRC522
import signal
import time
import textwrap
import sys
import NFCHelper
import argparse
continue_reading = True
is_Test = False
# Capture SIGINT for cleanup when the script is aborted
def end_read(signal,frame):
global continue_reading
print("Ctrl+C captured, ending read.... | sonos-nfc-reset.py |
import RPi.GPIO as GPIO
import MFRC522
import signal
import time
import textwrap
import sys
import NFCHelper
import argparse
continue_reading = True
is_Test = False
# Capture SIGINT for cleanup when the script is aborted
def end_read(signal,frame):
global continue_reading
print("Ctrl+C captured, ending read.... | 0.203945 | 0.166303 |
from __future__ import absolute_import
from __future__ import division
import click
from guild import click_util
@click.command()
@click.argument("dir", default="env")
@click.option(
"-n", "--name", metavar="NAME",
help="Environment name (default is env parent directory name).")
@click.option(
"-p", "--... | guild/commands/init.py |
from __future__ import absolute_import
from __future__ import division
import click
from guild import click_util
@click.command()
@click.argument("dir", default="env")
@click.option(
"-n", "--name", metavar="NAME",
help="Environment name (default is env parent directory name).")
@click.option(
"-p", "--... | 0.834508 | 0.216798 |
import gzip
import os
import random
import tempfile
import uuid
from io import BytesIO
from unittest import TestCase
import corehq.blobs.util as mod
from corehq.blobs.exceptions import GzipStreamError
class TestRandomUrlId(TestCase):
sample_size = 100
def setUp(self):
self.ids = [mod.random_url_id(... | corehq/blobs/tests/test_util.py | import gzip
import os
import random
import tempfile
import uuid
from io import BytesIO
from unittest import TestCase
import corehq.blobs.util as mod
from corehq.blobs.exceptions import GzipStreamError
class TestRandomUrlId(TestCase):
sample_size = 100
def setUp(self):
self.ids = [mod.random_url_id(... | 0.495606 | 0.402568 |
import torch
import torch.nn as nn
import torch.nn.functional as F
from modeling.sync_batchnorm.batchnorm import SynchronizedBatchNorm2d
from modeling.aspp import build_aspp
from modeling.decoder import build_decoder_kinematic, build_decoder
from modeling.backbone import build_backbone
from modeling.kinematic_graph imp... | modeling/deeplab.py | import torch
import torch.nn as nn
import torch.nn.functional as F
from modeling.sync_batchnorm.batchnorm import SynchronizedBatchNorm2d
from modeling.aspp import build_aspp
from modeling.decoder import build_decoder_kinematic, build_decoder
from modeling.backbone import build_backbone
from modeling.kinematic_graph imp... | 0.889511 | 0.316369 |
from ._util import process_service_request, force_default, handle_single_argument
from ._payload import malquery_fuzzy_payload, generic_payload_list
from ._payload import malquery_exact_search_payload, malquery_hunt_payload
from ._service_class import ServiceClass
from ._endpoint._malquery import _malquery_endpoints as... | src/falconpy/malquery.py | from ._util import process_service_request, force_default, handle_single_argument
from ._payload import malquery_fuzzy_payload, generic_payload_list
from ._payload import malquery_exact_search_payload, malquery_hunt_payload
from ._service_class import ServiceClass
from ._endpoint._malquery import _malquery_endpoints as... | 0.849644 | 0.239872 |
from pathlib import Path
import pytest
import scrapli_asyncssh
from scrapli.exceptions import KeyVerificationFailed
from scrapli_asyncssh.transport import Transport
TEST_DATA_DIR = f"{Path(scrapli_asyncssh.__file__).parents[1]}/tests/test_data"
class DummyClass:
pass
def test_creation():
conn = Transport... | tests/unit/transport/test_asyncssh_.py | from pathlib import Path
import pytest
import scrapli_asyncssh
from scrapli.exceptions import KeyVerificationFailed
from scrapli_asyncssh.transport import Transport
TEST_DATA_DIR = f"{Path(scrapli_asyncssh.__file__).parents[1]}/tests/test_data"
class DummyClass:
pass
def test_creation():
conn = Transport... | 0.513181 | 0.376107 |
import abc
import time
import os, shutil
import torch
import torch.nn as nn
from .base import BaseTraining, AverageMeter
from tqdm import tqdm
import warnings
def default_add_penalty(loss, data):
return loss
class AdversarialTraining(BaseTraining):
"""Adversarial Training frames if both data and label are ready.
... | dlt/adversarial.py | import abc
import time
import os, shutil
import torch
import torch.nn as nn
from .base import BaseTraining, AverageMeter
from tqdm import tqdm
import warnings
def default_add_penalty(loss, data):
return loss
class AdversarialTraining(BaseTraining):
"""Adversarial Training frames if both data and label are ready.
... | 0.528533 | 0.260863 |
import time
import uuid
import pytest
from click.testing import CliRunner
from mock import patch
from airflow_monitor.common.base_component import BaseMonitorComponent
from airflow_monitor.common.config_data import AirflowServerConfig
from airflow_monitor.config import AirflowMonitorConfig
from airflow_monitor.multi... | modules/dbnd-airflow-monitor/test_dbnd_airflow_monitor/runtime_syncer/test_multiserver.py | import time
import uuid
import pytest
from click.testing import CliRunner
from mock import patch
from airflow_monitor.common.base_component import BaseMonitorComponent
from airflow_monitor.common.config_data import AirflowServerConfig
from airflow_monitor.config import AirflowMonitorConfig
from airflow_monitor.multi... | 0.55435 | 0.221624 |
import torch
from torch import nn, Tensor
from kbcr.smart import BaseSmartModel
from kbcr.reformulators import BaseReformulator
from profilehooks import profile
from typing import Tuple, Optional, List
import logging
logger = logging.getLogger(__name__)
class SimpleHoppy(BaseSmartModel):
def __... | kbcr/smart/simple.py |
import torch
from torch import nn, Tensor
from kbcr.smart import BaseSmartModel
from kbcr.reformulators import BaseReformulator
from profilehooks import profile
from typing import Tuple, Optional, List
import logging
logger = logging.getLogger(__name__)
class SimpleHoppy(BaseSmartModel):
def __... | 0.888429 | 0.412234 |
"""
"""
import thermosteam as tmo
from .units_of_measure import AbsoluteUnitsOfMeasure
from . import utils
from .exceptions import UndefinedChemical
from .base import PhaseHandle
from ._phase import Phase, LockedPhase, NoPhase, PhaseIndexer, phase_tuple, check_phase
from free_properties import PropertyFactory, property... | thermosteam/indexer.py | """
"""
import thermosteam as tmo
from .units_of_measure import AbsoluteUnitsOfMeasure
from . import utils
from .exceptions import UndefinedChemical
from .base import PhaseHandle
from ._phase import Phase, LockedPhase, NoPhase, PhaseIndexer, phase_tuple, check_phase
from free_properties import PropertyFactory, property... | 0.756807 | 0.396039 |
from __future__ import absolute_import, print_function
import copy
from sage.structure.sage_object import SageObject
from sage.rings.all import ComplexField, Integer
from sage.misc.all import verbose, sage_eval
import sage.interfaces.gp
class Dokchitser(SageObject):
r"""
Dokchitser's `L`-functions Calculator... | src/sage/lfunctions/dokchitser.py | from __future__ import absolute_import, print_function
import copy
from sage.structure.sage_object import SageObject
from sage.rings.all import ComplexField, Integer
from sage.misc.all import verbose, sage_eval
import sage.interfaces.gp
class Dokchitser(SageObject):
r"""
Dokchitser's `L`-functions Calculator... | 0.877739 | 0.547464 |
import math
import numpy as np
import numba as nb
import pycuda.autoinit
import pycuda.driver as drv
from pycuda.compiler import SourceModule
mod = SourceModule("""
__global__ void AdvanceCuda(float *p_pos_x, float *p_pos_y, float *p_pos_z,
float *p_dir_x, float *p_dir_y, float *p_dir_z,
... | mcdc_tnt/mako_kernels/gpu/advance.py | import math
import numpy as np
import numba as nb
import pycuda.autoinit
import pycuda.driver as drv
from pycuda.compiler import SourceModule
mod = SourceModule("""
__global__ void AdvanceCuda(float *p_pos_x, float *p_pos_y, float *p_pos_z,
float *p_dir_x, float *p_dir_y, float *p_dir_z,
... | 0.226955 | 0.337695 |
from qwt.graphic import QwtGraphic
from qwt.painter import QwtPainter
from qtpy.QtGui import (
QPainter,
QTransform,
QPixmap,
QPen,
QPolygonF,
QPainterPath,
QBrush,
)
from qtpy.QtCore import QSize, QRect, QPointF, QRectF, QSizeF, Qt, QPoint
from qtpy.QtSvg import QSvgRenderer
import numpy ... | Lib/site-packages/qwt/symbol.py | from qwt.graphic import QwtGraphic
from qwt.painter import QwtPainter
from qtpy.QtGui import (
QPainter,
QTransform,
QPixmap,
QPen,
QPolygonF,
QPainterPath,
QBrush,
)
from qtpy.QtCore import QSize, QRect, QPointF, QRectF, QSizeF, Qt, QPoint
from qtpy.QtSvg import QSvgRenderer
import numpy ... | 0.584508 | 0.479808 |
import os
import platform
import shutil
import sys
import tempfile
import uuid
import pytest
import host_tools.cargo_build as build_tools
import host_tools.network as net_tools
import host_tools.proc as proc
from framework.artifacts import ArtifactCollection
import framework.utils as utils
from framework.microvm imp... | tests/conftest.py | import os
import platform
import shutil
import sys
import tempfile
import uuid
import pytest
import host_tools.cargo_build as build_tools
import host_tools.network as net_tools
import host_tools.proc as proc
from framework.artifacts import ArtifactCollection
import framework.utils as utils
from framework.microvm imp... | 0.550366 | 0.275485 |
from farmconfig import FarmConfig
class Config(FarmConfig):
# Wiki identity ----------------------------------------------------
# Site name, used by default for wiki name-logo [Unicode]
sitename = u'JythonWiki'
# Wiki logo. You can use an image, text or both. [Unicode]
# Example: u'<img src="/w... | salt/moin/configs/jython.py | from farmconfig import FarmConfig
class Config(FarmConfig):
# Wiki identity ----------------------------------------------------
# Site name, used by default for wiki name-logo [Unicode]
sitename = u'JythonWiki'
# Wiki logo. You can use an image, text or both. [Unicode]
# Example: u'<img src="/w... | 0.520253 | 0.22531 |
import argparse
import glob
import os
import os.path as osp
from pathlib import Path
import sys
sys.path.append(str(Path(__file__).parent.parent))
import numpy as np
from skimage.io import imread, imsave
from skimage.measure import label
from joblib import Parallel, delayed
from utils.metrics import *
parser = argp... | scripts/evaluate_crag.py | import argparse
import glob
import os
import os.path as osp
from pathlib import Path
import sys
sys.path.append(str(Path(__file__).parent.parent))
import numpy as np
from skimage.io import imread, imsave
from skimage.measure import label
from joblib import Parallel, delayed
from utils.metrics import *
parser = argp... | 0.267983 | 0.192331 |
from troposphere import Tags
from . import AWSObject, AWSProperty
from .validators import boolean, integer
class ClearTimer(AWSProperty):
props = {
"TimerName": (str, False),
}
class Firehose(AWSProperty):
props = {
"DeliveryStreamName": (str, False),
"Separator": (str, False)... | troposphere/iotevents.py |
from troposphere import Tags
from . import AWSObject, AWSProperty
from .validators import boolean, integer
class ClearTimer(AWSProperty):
props = {
"TimerName": (str, False),
}
class Firehose(AWSProperty):
props = {
"DeliveryStreamName": (str, False),
"Separator": (str, False)... | 0.603465 | 0.270435 |
import os
import sys
import subprocess
import traceback
import importlib.util as il
spec = il.spec_from_file_location("config", snakemake.params.config)
config = il.module_from_spec(spec)
sys.modules[spec.name] = config
spec.loader.exec_module(config)
sys.path.append(snakemake.config['args']['mcc_path'])
import scripts... | scripts/teflon/teflon_run.py | import os
import sys
import subprocess
import traceback
import importlib.util as il
spec = il.spec_from_file_location("config", snakemake.params.config)
config = il.module_from_spec(spec)
sys.modules[spec.name] = config
spec.loader.exec_module(config)
sys.path.append(snakemake.config['args']['mcc_path'])
import scripts... | 0.09003 | 0.129485 |
import logging
from bisect import bisect
from typing import Union, List, Callable, Tuple, Dict, Any
from hanlp_common.constant import IDX
from hanlp.layers.transformers.utils import build_optimizer_scheduler_with_transformer
import torch
from torch.utils.data import DataLoader
from hanlp.common.dataset import PadSeque... | hanlp/components/srl/span_rank/span_rank.py | import logging
from bisect import bisect
from typing import Union, List, Callable, Tuple, Dict, Any
from hanlp_common.constant import IDX
from hanlp.layers.transformers.utils import build_optimizer_scheduler_with_transformer
import torch
from torch.utils.data import DataLoader
from hanlp.common.dataset import PadSeque... | 0.933363 | 0.310917 |
import _init_paths
import os
import cv2
import random
import argparse
import numpy as np
import models.models as models
from os.path import exists, join
from torch.autograd import Variable
from tracker.siamfc import SiamFC
from tracker.siamrpn import SiamRPN
from easydict import EasyDict as edict
from utils.utils im... | siamese_tracking/run_video.py |
import _init_paths
import os
import cv2
import random
import argparse
import numpy as np
import models.models as models
from os.path import exists, join
from torch.autograd import Variable
from tracker.siamfc import SiamFC
from tracker.siamrpn import SiamRPN
from easydict import EasyDict as edict
from utils.utils im... | 0.448185 | 0.28227 |
# Standard library imports
import json
import os
from datetime import datetime, timedelta
# Third party imports
import boto3
logs_client = boto3.client("logs")
log_group_name = os.environ.get("LOG_STREAM_NAME")
ddb_table_name = os.environ.get("DDB_TABLE")
ddb_table = boto3.resource("dynamodb").Table(name=ddb_table... | integration_tests/assert_cleanup_ddb_audit_log/index.py |
# Standard library imports
import json
import os
from datetime import datetime, timedelta
# Third party imports
import boto3
logs_client = boto3.client("logs")
log_group_name = os.environ.get("LOG_STREAM_NAME")
ddb_table_name = os.environ.get("DDB_TABLE")
ddb_table = boto3.resource("dynamodb").Table(name=ddb_table... | 0.723212 | 0.249573 |
import errno
import socket
import unittest
from tuntap.char_dev_harness import TunCharDevHarness, TapCharDevHarness
from tuntap.interface_harness import Address, InterfaceHarness
from tuntap.sockaddr import SockaddrDl, SockaddrIn, SockaddrIn6
from tuntap.tun_tap_harness import TunHarness, TapHarness
class TestInterf... | litex_things/deps/litex/litex/build/sim/core/modules/ethernet/tapcfg/drivers/osx/tuntap/test/tuntap/test_interface.py |
import errno
import socket
import unittest
from tuntap.char_dev_harness import TunCharDevHarness, TapCharDevHarness
from tuntap.interface_harness import Address, InterfaceHarness
from tuntap.sockaddr import SockaddrDl, SockaddrIn, SockaddrIn6
from tuntap.tun_tap_harness import TunHarness, TapHarness
class TestInterf... | 0.502197 | 0.281489 |
import math
from pid_controller.pid import PID # TODO: update to simple_pid (pip install simple-pid)
from carla08.client import VehicleControl
# PID based controller, we can have different ones
class Controller:
# The vehicle controller, it receives waypoints and applies a PID control in order
# to get the... | carla08/agent/modules/controllers.py | import math
from pid_controller.pid import PID # TODO: update to simple_pid (pip install simple-pid)
from carla08.client import VehicleControl
# PID based controller, we can have different ones
class Controller:
# The vehicle controller, it receives waypoints and applies a PID control in order
# to get the... | 0.261142 | 0.252338 |
# Importing standard Qiskit libraries and configuring account
from qiskit import QuantumCircuit, QuantumRegister, ClassicalRegister, execute, Aer, IBMQ
from qiskit.compiler import transpile, assemble
from qiskit.tools.jupyter import *
from qiskit.visualization import plot_bloch_multivector, plot_histogram
from qiskit.... | Programs/Experiment/bb84_qkd_realdevice.py |
# Importing standard Qiskit libraries and configuring account
from qiskit import QuantumCircuit, QuantumRegister, ClassicalRegister, execute, Aer, IBMQ
from qiskit.compiler import transpile, assemble
from qiskit.tools.jupyter import *
from qiskit.visualization import plot_bloch_multivector, plot_histogram
from qiskit.... | 0.672869 | 0.818809 |
import tensorflow as tf
import numpy as np
import random
import enum
import warnings
warnings.filterwarnings('ignore')
random.seed(a=123456789)
np.random.seed(123456789)
tf.set_random_seed(123456789)
## Learning Model
class AutoEncoder:
# input image size
nWidth = 512
nHeight = 512
nPixels = nWidth ... | AutoEncoder.py | import tensorflow as tf
import numpy as np
import random
import enum
import warnings
warnings.filterwarnings('ignore')
random.seed(a=123456789)
np.random.seed(123456789)
tf.set_random_seed(123456789)
## Learning Model
class AutoEncoder:
# input image size
nWidth = 512
nHeight = 512
nPixels = nWidth ... | 0.7586 | 0.390098 |
import cv2
import numpy as np
import os
import sys
from Output import Output
class YoloObjectDetector:
def __init__(self, modelSize):
if not (os.path.exists("models/yolo-tiny/yolov3-tiny.weights") and os.path.exists("models/yolo/yolov3.weights")):
sys.exit("Please download the YOLOv3 weight ... | objectDetection/YoloObjectDetector.py | import cv2
import numpy as np
import os
import sys
from Output import Output
class YoloObjectDetector:
def __init__(self, modelSize):
if not (os.path.exists("models/yolo-tiny/yolov3-tiny.weights") and os.path.exists("models/yolo/yolov3.weights")):
sys.exit("Please download the YOLOv3 weight ... | 0.317744 | 0.212028 |
import logging
from django.core.management import call_command
from django.core.management.base import BaseCommand
from django_prbac.models import Grant, Role
from corehq import privileges
from corehq.apps.accounting.utils import ensure_grants, log_removed_grants
from corehq.apps.accounting.bootstrap import features... | corehq/apps/hqadmin/management/commands/cchq_prbac_bootstrap.py | import logging
from django.core.management import call_command
from django.core.management.base import BaseCommand
from django_prbac.models import Grant, Role
from corehq import privileges
from corehq.apps.accounting.utils import ensure_grants, log_removed_grants
from corehq.apps.accounting.bootstrap import features... | 0.446495 | 0.070464 |
import numpy as np
import cv2
from collections import deque
## Define the upper and lower boundaries for a color to be considered "Blue"
blueLower = np.array([100, 60, 60])
blueUpper = np.array([140, 255, 255])
# Define a 5x5 kernel for erosion and dilation
kernel = np.ones((5, 5), np.uint8)
# Setup deques to store... | VidHand_Tracker.py |
import numpy as np
import cv2
from collections import deque
## Define the upper and lower boundaries for a color to be considered "Blue"
blueLower = np.array([100, 60, 60])
blueUpper = np.array([140, 255, 255])
# Define a 5x5 kernel for erosion and dilation
kernel = np.ones((5, 5), np.uint8)
# Setup deques to store... | 0.60743 | 0.497681 |
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from .. import _utilities
from ._enums import *
__all__ = [
'ClusterApplicationArgs',
'ClusterAutoScalingPolicyArgs',
'ClusterBootstrapActionConfigArgs',
'ClusterCloudWatchAlarmDefi... | sdk/python/pulumi_aws_native/emr/_inputs.py |
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from .. import _utilities
from ._enums import *
__all__ = [
'ClusterApplicationArgs',
'ClusterAutoScalingPolicyArgs',
'ClusterBootstrapActionConfigArgs',
'ClusterCloudWatchAlarmDefi... | 0.838779 | 0.049797 |
from django.contrib.gis.utils.wkt import precision_wkt
from appPonto.models import *
from appPortas.models import *
from datetime import datetime
def consultar_pessoa_acesso_porta(id_digital, id_porta, img_digital):
try:
grupopessoa = GrupoPessoa.objects.filter(pessoa__id_digital=id_digital)
grup... | appPortas/consultas.py | from django.contrib.gis.utils.wkt import precision_wkt
from appPonto.models import *
from appPortas.models import *
from datetime import datetime
def consultar_pessoa_acesso_porta(id_digital, id_porta, img_digital):
try:
grupopessoa = GrupoPessoa.objects.filter(pessoa__id_digital=id_digital)
grup... | 0.305697 | 0.099077 |
from __future__ import print_function, unicode_literals
import os
import sys
from beanbag_tools.utils.builds import build_checksums
from beanbag_tools.utils.builds_python import (python_build_releases,
python_check_can_release)
from beanbag_tools.utils.git import (git_g... | contrib/internal/release.py |
from __future__ import print_function, unicode_literals
import os
import sys
from beanbag_tools.utils.builds import build_checksums
from beanbag_tools.utils.builds_python import (python_build_releases,
python_check_can_release)
from beanbag_tools.utils.git import (git_g... | 0.360714 | 0.064683 |
__all__ = ['SparkConf']
class SparkConf(object):
"""
Configuration for a Spark application. Used to set various Spark
parameters as key-value pairs.
Most of the time, you would create a SparkConf object with
C{SparkConf()}, which will load values from C{spark.*} Java system
properties as wel... | python/pyspark/conf.py | __all__ = ['SparkConf']
class SparkConf(object):
"""
Configuration for a Spark application. Used to set various Spark
parameters as key-value pairs.
Most of the time, you would create a SparkConf object with
C{SparkConf()}, which will load values from C{spark.*} Java system
properties as wel... | 0.905227 | 0.493103 |
import unittest
from definitions import ROOT_DIR
from main.org.core.fitness.objectives2D import Objective2D
from main.org.core.utility.Chromosome_Generator import *
class Test(unittest.TestCase):
def test_constructor(self):
logfile = ROOT_DIR + '/test/resources/File.log'
chrom_gen = ChromosomeGen... | executable/logpai/logparser/MoLFI/test/org/core/fitness/test_objectives2D.py | import unittest
from definitions import ROOT_DIR
from main.org.core.fitness.objectives2D import Objective2D
from main.org.core.utility.Chromosome_Generator import *
class Test(unittest.TestCase):
def test_constructor(self):
logfile = ROOT_DIR + '/test/resources/File.log'
chrom_gen = ChromosomeGen... | 0.452294 | 0.362405 |
import pytest
import numpy as np
from numpy.testing import assert_allclose
from sklearn.compose import ColumnTransformer
from sklearn.datasets import load_boston
from sklearn.datasets import load_iris
from sklearn.datasets import make_classification
from sklearn.datasets import make_regression
from sklearn.... | venv/Lib/site-packages/sklearn/inspection/tests/test_permutation_importance.py | import pytest
import numpy as np
from numpy.testing import assert_allclose
from sklearn.compose import ColumnTransformer
from sklearn.datasets import load_boston
from sklearn.datasets import load_iris
from sklearn.datasets import make_classification
from sklearn.datasets import make_regression
from sklearn.... | 0.675015 | 0.661896 |
import os
import subprocess as sp
import re
import sys
import threading
import logging
import signal
from math import ceil
from queue import Queue, Empty
from gevent import idle
from config import config
from imageProcess import clean
from procedure import genProcess
from progress import Node, initialETA
from worker im... | python/video.py | import os
import subprocess as sp
import re
import sys
import threading
import logging
import signal
from math import ceil
from queue import Queue, Empty
from gevent import idle
from config import config
from imageProcess import clean
from procedure import genProcess
from progress import Node, initialETA
from worker im... | 0.147095 | 0.123868 |
import json
import multiprocessing
import os
import sys
import os.path as op
import random
import torch
import torch.nn as nn
import torch.optim as optim
from torch.autograd import Variable
import pandas as pd
import numpy as np
import pickle
from torch.utils.data import Dataset
from torch.utils.data impo... | Ab-DRNN/decay_rnn_model.py | import json
import multiprocessing
import os
import sys
import os.path as op
import random
import torch
import torch.nn as nn
import torch.optim as optim
from torch.autograd import Variable
import pandas as pd
import numpy as np
import pickle
from torch.utils.data import Dataset
from torch.utils.data impo... | 0.369998 | 0.298338 |
import argparse
import json
import multiprocessing
import time
import asyncio
from multiprocessing import Process
import os
import functools
import sys
from indy import pool
count_of_connected = 0
count_of_not_connected = 0
def run_client(genesis_path, pipe_conn, client_number):
async def run_test(genesis_p... | scripts/client_connections/just_connect_N_times.py | import argparse
import json
import multiprocessing
import time
import asyncio
from multiprocessing import Process
import os
import functools
import sys
from indy import pool
count_of_connected = 0
count_of_not_connected = 0
def run_client(genesis_path, pipe_conn, client_number):
async def run_test(genesis_p... | 0.13215 | 0.086131 |
import unittest
from acme.wrappers import atari_wrapper
from dm_env import specs
import numpy as np
from absl.testing import absltest
from absl.testing import parameterized
SKIP_GYM_TESTS = False
SKIP_GYM_MESSAGE = 'gym not installed.'
SKIP_ATARI_TESTS = False
SKIP_ATARI_MESSAGE = ''
try:
# pylint: disable=g-impo... | acme/wrappers/atari_wrapper_test.py | import unittest
from acme.wrappers import atari_wrapper
from dm_env import specs
import numpy as np
from absl.testing import absltest
from absl.testing import parameterized
SKIP_GYM_TESTS = False
SKIP_GYM_MESSAGE = 'gym not installed.'
SKIP_ATARI_TESTS = False
SKIP_ATARI_MESSAGE = ''
try:
# pylint: disable=g-impo... | 0.57332 | 0.4165 |
import time
from flask import request
from flask_restful import abort
from redash import models
from redash.permissions import require_admin, require_permission
from redash.handlers.base import BaseResource, get_object_or_404
class GroupListResource(BaseResource):
@require_admin
def post(self):
name =... | redash/handlers/groups.py | import time
from flask import request
from flask_restful import abort
from redash import models
from redash.permissions import require_admin, require_permission
from redash.handlers.base import BaseResource, get_object_or_404
class GroupListResource(BaseResource):
@require_admin
def post(self):
name =... | 0.439988 | 0.072178 |
from .. import models
from .generic import AllMixin, GetByIdMixin, Manager, SyncMixin
class LabelsManager(Manager, AllMixin, GetByIdMixin, SyncMixin):
state_name = "labels"
object_type = "label"
def add(self, name, **kwargs):
"""
Creates a local label object.
"""
obj = mo... | todoist/managers/labels.py | from .. import models
from .generic import AllMixin, GetByIdMixin, Manager, SyncMixin
class LabelsManager(Manager, AllMixin, GetByIdMixin, SyncMixin):
state_name = "labels"
object_type = "label"
def add(self, name, **kwargs):
"""
Creates a local label object.
"""
obj = mo... | 0.389663 | 0.167355 |
import asyncio
import inspect
from typing import Any, AsyncGenerator, Awaitable, Callable, Dict, Iterable
import toolz
from toolz import curried
from gamla import functional
async def to_awaitable(value):
if inspect.isawaitable(value):
return await value
return value
async def apipe(val, *funcs):
... | gamla/functional_async.py | import asyncio
import inspect
from typing import Any, AsyncGenerator, Awaitable, Callable, Dict, Iterable
import toolz
from toolz import curried
from gamla import functional
async def to_awaitable(value):
if inspect.isawaitable(value):
return await value
return value
async def apipe(val, *funcs):
... | 0.713132 | 0.302314 |
from behave import *
from itunes_app_scraper.scraper import AppStoreScraper
@given('we have itunes scraper installed')
def step_impl(context):
context.scraper = AppStoreScraper()
@when('we search for "{search_term}"')
def step_impl(context, search_term):
context.results = context.scraper.get_app_ids_for_query... | features/steps/scraper.py | from behave import *
from itunes_app_scraper.scraper import AppStoreScraper
@given('we have itunes scraper installed')
def step_impl(context):
context.scraper = AppStoreScraper()
@when('we search for "{search_term}"')
def step_impl(context, search_term):
context.results = context.scraper.get_app_ids_for_query... | 0.311846 | 0.12692 |
from datetime import datetime, timedelta
from odoo import fields
from odoo.tests.common import TransactionCase
USER_DEMO = "base.user_demo"
class TestCase(TransactionCase):
at_install = True
post_install = True
def setUp(self):
super(TestCase, self).setUp()
self.event = self.env["event.... | website_event_attendee_fields/tests/test_security.py | from datetime import datetime, timedelta
from odoo import fields
from odoo.tests.common import TransactionCase
USER_DEMO = "base.user_demo"
class TestCase(TransactionCase):
at_install = True
post_install = True
def setUp(self):
super(TestCase, self).setUp()
self.event = self.env["event.... | 0.618435 | 0.178347 |
import hashlib
import json
from unittest import TestCase
from blockchain import Blockchain
class BlockchainTestCase(TestCase):
def setUp(self):
self.blockchain = Blockchain()
def create_block(self, proof=123, previous_hash='abc'):
self.blockchain.new_block(proof, previous_hash)
def cre... | custom-blockchain/tests/test_blockchain.py | import hashlib
import json
from unittest import TestCase
from blockchain import Blockchain
class BlockchainTestCase(TestCase):
def setUp(self):
self.blockchain = Blockchain()
def create_block(self, proof=123, previous_hash='abc'):
self.blockchain.new_block(proof, previous_hash)
def cre... | 0.710025 | 0.500854 |
from DB_mgmt import *
from protobuffs.code_pb2 import *
from model.objects.User import *
class AuthDAO():
# Load the permission database into an in-memory dictionary.
# This method also initializes objects for users with no previous permissions.
@staticmethod
def loadDbMemory(memory_db):
# G... | pvs-build/model/AuthDAO.py | from DB_mgmt import *
from protobuffs.code_pb2 import *
from model.objects.User import *
class AuthDAO():
# Load the permission database into an in-memory dictionary.
# This method also initializes objects for users with no previous permissions.
@staticmethod
def loadDbMemory(memory_db):
# G... | 0.419172 | 0.07373 |
import json
import difflib
import unittest
from responseobjects.api_response import KeywordSearchResponse, \
FileSearchResponse
import os
base_path = os.path.dirname(os.path.abspath(__file__))
class MyTestCase(unittest.TestCase):
def test_key_search_response(self):
"""
This method tests the ... | test/test_response.py |
import json
import difflib
import unittest
from responseobjects.api_response import KeywordSearchResponse, \
FileSearchResponse
import os
base_path = os.path.dirname(os.path.abspath(__file__))
class MyTestCase(unittest.TestCase):
def test_key_search_response(self):
"""
This method tests the ... | 0.347648 | 0.387574 |
import unittest
from core.models import GitlabUser
from core.tests.test_models import GitlabUserModelMethod
from django.test import TestCase
class GitlabUserSignalsTests(TestCase, GitlabUserModelMethod):
def equal(self, gitlab_user, user, user_social_auth):
self.assertEqual(gitlab_user.user, user)
... | SZR/apps/core/tests/test_signals.py | import unittest
from core.models import GitlabUser
from core.tests.test_models import GitlabUserModelMethod
from django.test import TestCase
class GitlabUserSignalsTests(TestCase, GitlabUserModelMethod):
def equal(self, gitlab_user, user, user_social_auth):
self.assertEqual(gitlab_user.user, user)
... | 0.344223 | 0.213193 |
import unittest
from unittest.mock import MagicMock, patch
import functools
import numpy as np
from PyQt5.QtCore import Qt
from PyQt5.QtTest import QSignalSpy, QTest
from PyQt5.QtWidgets import QWidget
from extra_foam.pipeline.tests import _RawDataMixin
from extra_foam.special_suite import logger, mkQApp
from extra... | extra_foam/special_suite/tests/test_special_analysis_base.py | import unittest
from unittest.mock import MagicMock, patch
import functools
import numpy as np
from PyQt5.QtCore import Qt
from PyQt5.QtTest import QSignalSpy, QTest
from PyQt5.QtWidgets import QWidget
from extra_foam.pipeline.tests import _RawDataMixin
from extra_foam.special_suite import logger, mkQApp
from extra... | 0.675229 | 0.33734 |
import numpy as np
import pandas as pd
from scipy.stats import norm, moment
from mlfinlab.bet_sizing.ch10_snippets import get_signal, avg_active_signals, discrete_signal
from mlfinlab.bet_sizing.ch10_snippets import get_w, get_target_pos, limit_price, bet_size
from mlfinlab.bet_sizing.ef3m import M2N, raw_moment, most... | mlfinlab/bet_sizing/bet_sizing.py | import numpy as np
import pandas as pd
from scipy.stats import norm, moment
from mlfinlab.bet_sizing.ch10_snippets import get_signal, avg_active_signals, discrete_signal
from mlfinlab.bet_sizing.ch10_snippets import get_w, get_target_pos, limit_price, bet_size
from mlfinlab.bet_sizing.ef3m import M2N, raw_moment, most... | 0.819135 | 0.716888 |
import inspect
import json
import numbers
import stringcase
from enum import Enum, auto
from typing import Sequence, Optional, Union, Any, Dict
class SchemaType(Enum):
OBJECT = auto()
ARRAY = auto()
STRING = auto()
INTEGER = auto()
NUMBER = auto()
BOOLEAN = auto()
NULL = auto()
NONE ... | builder/schema.py | import inspect
import json
import numbers
import stringcase
from enum import Enum, auto
from typing import Sequence, Optional, Union, Any, Dict
class SchemaType(Enum):
OBJECT = auto()
ARRAY = auto()
STRING = auto()
INTEGER = auto()
NUMBER = auto()
BOOLEAN = auto()
NULL = auto()
NONE ... | 0.871639 | 0.139719 |
if __name__ == '__main__':
import os
import torch
from torch.utils.data import DataLoader
from networks import Discriminator, Generator, Loss
from options import TrainOption
from pipeline import CustomDataset
from utils import binning_and_cal_pixel_cc, Manager, update_lr, weights_init
im... | train.py | if __name__ == '__main__':
import os
import torch
from torch.utils.data import DataLoader
from networks import Discriminator, Generator, Loss
from options import TrainOption
from pipeline import CustomDataset
from utils import binning_and_cal_pixel_cc, Manager, update_lr, weights_init
im... | 0.55097 | 0.244115 |
from __future__ import division
import numpy
import pytest
from mpilot.commands import Argument
from mpilot.exceptions import ResultNotFuzzy, ResultIsFuzzy
from mpilot.libraries.eems.exceptions import MismatchedWeights
from mpilot.libraries.eems.fuzzy import (
CvtToFuzzy,
CvtToFuzzyZScore,
CvtToFuzzyCat,
... | tests/eems/test_fuzzy.py | from __future__ import division
import numpy
import pytest
from mpilot.commands import Argument
from mpilot.exceptions import ResultNotFuzzy, ResultIsFuzzy
from mpilot.libraries.eems.exceptions import MismatchedWeights
from mpilot.libraries.eems.fuzzy import (
CvtToFuzzy,
CvtToFuzzyZScore,
CvtToFuzzyCat,
... | 0.716615 | 0.473353 |
from PyQt5 import QtWidgets
from PyQt5.QtWidgets import QWidget, QFileDialog, QPushButton
from PyQt5.QtCore import pyqtSignal
from modules.primerainterfaz import Ui_MainWindow, Ui_Form_papeleta, Ui_Form_variosExam, Ui_Form_DatosVarios
from modules import generarpdf_papeleta, procesador_examenes
import sys
class win... | main.py | from PyQt5 import QtWidgets
from PyQt5.QtWidgets import QWidget, QFileDialog, QPushButton
from PyQt5.QtCore import pyqtSignal
from modules.primerainterfaz import Ui_MainWindow, Ui_Form_papeleta, Ui_Form_variosExam, Ui_Form_DatosVarios
from modules import generarpdf_papeleta, procesador_examenes
import sys
class win... | 0.113592 | 0.078219 |
from __future__ import absolute_import, print_function, unicode_literals
import unittest
import mock
from rest_framework.generics import GenericAPIView
from ..mixins import (
MapDataViewMixin,
MultipleSerializersViewMixin,
StrippingJSONViewMixin,
)
class TestMultipleSerializersViewMixin(unittest.TestCas... | drf_braces/tests/test_mixins.py | from __future__ import absolute_import, print_function, unicode_literals
import unittest
import mock
from rest_framework.generics import GenericAPIView
from ..mixins import (
MapDataViewMixin,
MultipleSerializersViewMixin,
StrippingJSONViewMixin,
)
class TestMultipleSerializersViewMixin(unittest.TestCas... | 0.775137 | 0.215206 |
# 验证ip是否有效
import urllib2,re,time,urllib,random, os, requests, json
import redis,threading
user_agents = [
'Mozilla/5.0 (Windows; U; Windows NT 5.1; it; rv:1.8.1.11) Gecko/20071127 Firefox/2.0.0.11',
'Opera/9.25 (Windows NT 5.1; U; en)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1; .NET CLR 1.... | proxy_list.py |
# 验证ip是否有效
import urllib2,re,time,urllib,random, os, requests, json
import redis,threading
user_agents = [
'Mozilla/5.0 (Windows; U; Windows NT 5.1; it; rv:1.8.1.11) Gecko/20071127 Firefox/2.0.0.11',
'Opera/9.25 (Windows NT 5.1; U; en)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1; .NET CLR 1.... | 0.17575 | 0.063628 |