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 numpy as np
import nnabla as nn
import nnabla.parametric_functions as PF
import nnabla.functions as F
import nnabla.solvers as S
import argparse
import gym
from nnabla.ext_utils import get_extension_context
from common.buffer import ReplayBuffer
from common.log import prepare_monitor
from common.experiment impo... | categorical_dqn.py | import numpy as np
import nnabla as nn
import nnabla.parametric_functions as PF
import nnabla.functions as F
import nnabla.solvers as S
import argparse
import gym
from nnabla.ext_utils import get_extension_context
from common.buffer import ReplayBuffer
from common.log import prepare_monitor
from common.experiment impo... | 0.764628 | 0.370567 |
import os
import django_heroku
import dj_database_url
from decouple import config,Csv
MODE=config("MODE", default="dev")
SECRET_KEY = config('SECRET_KEY')
# DEBUG = config('DEBUG', default=False, cast=bool)
DEBUG = config('DEBUG')
# development
if config('MODE')=="dev":
DATABASES = {
'default': {
... | instapro/settings.py | import os
import django_heroku
import dj_database_url
from decouple import config,Csv
MODE=config("MODE", default="dev")
SECRET_KEY = config('SECRET_KEY')
# DEBUG = config('DEBUG', default=False, cast=bool)
DEBUG = config('DEBUG')
# development
if config('MODE')=="dev":
DATABASES = {
'default': {
... | 0.221182 | 0.043063 |
import sys
import unittest
from dynd import nd, ndt
if sys.version_info >= (3, 0):
unicode = str
@unittest.skip('Test disabled since callables were reworked')
class TestUnicode(unittest.TestCase):
def test_array_string(self):
a = nd.array("Testing 1 2 3")
self.assertEqual(nd.type_of(a), ndt.st... | dynd/nd/test/test_unicode.py | import sys
import unittest
from dynd import nd, ndt
if sys.version_info >= (3, 0):
unicode = str
@unittest.skip('Test disabled since callables were reworked')
class TestUnicode(unittest.TestCase):
def test_array_string(self):
a = nd.array("Testing 1 2 3")
self.assertEqual(nd.type_of(a), ndt.st... | 0.362518 | 0.497437 |
from functools import partial
import yaml
from galaxy import model
from galaxy.model import mapping
from galaxy.security.idencoding import IdEncodingHelper
from galaxy.util import bunch
class MockTrans(object):
def __init__(self):
self.app = TestApp()
self.sa_session = self.app.model.context
... | test/unit/workflows/workflow_support.py | from functools import partial
import yaml
from galaxy import model
from galaxy.model import mapping
from galaxy.security.idencoding import IdEncodingHelper
from galaxy.util import bunch
class MockTrans(object):
def __init__(self):
self.app = TestApp()
self.sa_session = self.app.model.context
... | 0.639398 | 0.203173 |
import argparse
import logging
import os
import sys
from .client import Client
from .config import load_config
LOG_FILE = "mallard.log"
LOG_FILE_MODE = "w"
LOG_FORMAT = "[%(levelname)s] %(name)s: %(message)s"
LOG_DATE_FORMAT = "[%d/%m/%Y %H:%M:%S]"
if __name__ == "__main__":
# Parse arguments
argparser = ar... | mallard/__main__.py |
import argparse
import logging
import os
import sys
from .client import Client
from .config import load_config
LOG_FILE = "mallard.log"
LOG_FILE_MODE = "w"
LOG_FORMAT = "[%(levelname)s] %(name)s: %(message)s"
LOG_DATE_FORMAT = "[%d/%m/%Y %H:%M:%S]"
if __name__ == "__main__":
# Parse arguments
argparser = ar... | 0.333286 | 0.052086 |
import time
from .__init__ import parse
from . import common
class DebugSink(common.Sink):
def set_head_revision(self, revision):
print('head:', revision)
def set_principal_branch(self, branch_name):
print('branch:', branch_name)
def define_tag(self, name, revision):
print('tag:', name, '=', revi... | lib/vclib/ccvs/rcsparse/debug.py | import time
from .__init__ import parse
from . import common
class DebugSink(common.Sink):
def set_head_revision(self, revision):
print('head:', revision)
def set_principal_branch(self, branch_name):
print('branch:', branch_name)
def define_tag(self, name, revision):
print('tag:', name, '=', revi... | 0.365004 | 0.227566 |
import pandas
import matplotlib
import matplotlib.backends.backend_pdf
import seaborn
def get_degrees_for_metanode(graph, metanode):
"""
Return a dataframe that reports the degree of each metaedge for
each node of kind metanode.
"""
metanode_to_nodes = graph.get_metanode_to_nodes()
nodes = met... | hetnetpy/stats.py | import pandas
import matplotlib
import matplotlib.backends.backend_pdf
import seaborn
def get_degrees_for_metanode(graph, metanode):
"""
Return a dataframe that reports the degree of each metaedge for
each node of kind metanode.
"""
metanode_to_nodes = graph.get_metanode_to_nodes()
nodes = met... | 0.734976 | 0.452475 |
from PyQt5.QtWidgets import *
from PyQt5.QtGui import *
from PyQt5.QtCore import *
import math
class GraphicsScene(QGraphicsScene):
itemSelected = pyqtSignal()
itemsDeselected = pyqtSignal()
def __init__(self, scene, parent=None):
super().__init__(parent)
self.scene = scene
s... | datanodes/graphics/graphics_scene.py | from PyQt5.QtWidgets import *
from PyQt5.QtGui import *
from PyQt5.QtCore import *
import math
class GraphicsScene(QGraphicsScene):
itemSelected = pyqtSignal()
itemsDeselected = pyqtSignal()
def __init__(self, scene, parent=None):
super().__init__(parent)
self.scene = scene
s... | 0.58948 | 0.201538 |
import logging
from uuid import UUID
from typing import Optional, Dict, List, cast
from asyncio import TimeoutError
from asyncio.events import AbstractEventLoop
from CoreBluetooth import ( # type: ignore
CBService,
CBPeripheralManager,
CBMutableCharacteristic,
CBAdvertisementDataLocalNameKey,
CB... | bless/backends/corebluetooth/server.py | import logging
from uuid import UUID
from typing import Optional, Dict, List, cast
from asyncio import TimeoutError
from asyncio.events import AbstractEventLoop
from CoreBluetooth import ( # type: ignore
CBService,
CBPeripheralManager,
CBMutableCharacteristic,
CBAdvertisementDataLocalNameKey,
CB... | 0.877161 | 0.143278 |
import os
import re
try:
from . import global_state
from . import utils as ut
from .text_box import textbox
except (SystemError, ValueError, ImportError):
import global_state
import utils as ut
from text_box import textbox
try:
import tkinter as tk # python 3
import tkinter.font as tk... | venv/Lib/site-packages/easygui/boxes/button_box.py | import os
import re
try:
from . import global_state
from . import utils as ut
from .text_box import textbox
except (SystemError, ValueError, ImportError):
import global_state
import utils as ut
from text_box import textbox
try:
import tkinter as tk # python 3
import tkinter.font as tk... | 0.460774 | 0.199913 |
import test_package
print(dir(test_package))
print(test_package.test_module.TEST_CONSTANT)
# Імпортування модуля
from test_package import test_module
print(dir(test_module))
print(test_module.TEST_CONSTANT)
print(test_module.test_variable)
test_module.test_function()
test_module.test_function("Vadym")
import demo_... | course/code/builtin_libraries.py | import test_package
print(dir(test_package))
print(test_package.test_module.TEST_CONSTANT)
# Імпортування модуля
from test_package import test_module
print(dir(test_module))
print(test_module.TEST_CONSTANT)
print(test_module.test_variable)
test_module.test_function()
test_module.test_function("Vadym")
import demo_... | 0.117408 | 0.332473 |
from __future__ import annotations
import os
import yaml
from ..exceptions import (
FileArgumentNotFoundError,
ModelExtensionError,
ModelTypeNotSupportedError,
NoDefaultSpeakerDictionaryError,
PretrainedModelNotFoundError,
)
from ..models import MODEL_TYPES
__all__ = ["validate_model_arg"]
def... | montreal_forced_aligner/command_line/utils.py | from __future__ import annotations
import os
import yaml
from ..exceptions import (
FileArgumentNotFoundError,
ModelExtensionError,
ModelTypeNotSupportedError,
NoDefaultSpeakerDictionaryError,
PretrainedModelNotFoundError,
)
from ..models import MODEL_TYPES
__all__ = ["validate_model_arg"]
def... | 0.749546 | 0.127898 |
import os
import base64
import dateutil.parser as parser
from email.mime.text import MIMEText
from MailLogging import debug
from authentication import auth
class Gmail:
def __init__(self):
self.user_id = 'me'
self.service = auth()
debug.createLog()
def getMessageData(self, messages, format=None, log=False):
... | PyMail.py | import os
import base64
import dateutil.parser as parser
from email.mime.text import MIMEText
from MailLogging import debug
from authentication import auth
class Gmail:
def __init__(self):
self.user_id = 'me'
self.service = auth()
debug.createLog()
def getMessageData(self, messages, format=None, log=False):
... | 0.466116 | 0.150903 |
from django_spanner.compiler import SQLCompiler
from django.db.models import F
from tests.unit.django_spanner.simple_test import SpannerSimpleTestClass
from decimal import Decimal
from .models import Number, Author
class TestLookups(SpannerSimpleTestClass):
def test_cast_param_to_float_lte_sql_query(self):
... | tests/unit/django_spanner/test_lookups.py |
from django_spanner.compiler import SQLCompiler
from django.db.models import F
from tests.unit.django_spanner.simple_test import SpannerSimpleTestClass
from decimal import Decimal
from .models import Number, Author
class TestLookups(SpannerSimpleTestClass):
def test_cast_param_to_float_lte_sql_query(self):
... | 0.467089 | 0.26863 |
import os
import sys
import numpy as np
try:
import flopy
except:
msg = 'Error. FloPy package is not available.\n'
msg += 'Try installing using the following command:\n'
msg += ' pip install flopy'
raise Exception(msg)
from framework import testing_framework
from simulation import Simulation
from ... | autotest/test_gwt_adv01_fmi.py | import os
import sys
import numpy as np
try:
import flopy
except:
msg = 'Error. FloPy package is not available.\n'
msg += 'Try installing using the following command:\n'
msg += ' pip install flopy'
raise Exception(msg)
from framework import testing_framework
from simulation import Simulation
from ... | 0.287768 | 0.214455 |
__author__ = "<NAME> <<EMAIL>>"
__date__ = "2019/11/03 21:50:25"
import numpy as np
import torch
torch.set_default_dtype(torch.float64)
import torch.optim as optim
import torch.distributions as distributions
import pickle
import math
from sys import exit
import matplotlib.pyplot as plt
from matplotlib.backends.backend... | MullerPotential_new/script/sample_from_model_trained_by_data.py | __author__ = "<NAME> <<EMAIL>>"
__date__ = "2019/11/03 21:50:25"
import numpy as np
import torch
torch.set_default_dtype(torch.float64)
import torch.optim as optim
import torch.distributions as distributions
import pickle
import math
from sys import exit
import matplotlib.pyplot as plt
from matplotlib.backends.backend... | 0.544559 | 0.462412 |
from abc import ABC, abstractmethod
from typing import Type, Dict, Any, Tuple, Union
import gym
import numpy as np
from ray.rllib.env.apis.task_settable_env import TaskSettableEnv
from utils.distributions import Distribution
gym.logger.set_level(40)
class MDP(gym.Env, ABC):
"""
### Description
A Markov... | cmdp.py | from abc import ABC, abstractmethod
from typing import Type, Dict, Any, Tuple, Union
import gym
import numpy as np
from ray.rllib.env.apis.task_settable_env import TaskSettableEnv
from utils.distributions import Distribution
gym.logger.set_level(40)
class MDP(gym.Env, ABC):
"""
### Description
A Markov... | 0.900392 | 0.549641 |
import numpy as np
import pandas as pd
from flask import Flask, request, render_template
import joblib
#Creating the flask app
app = Flask(__name__)
model = joblib.load("Loan_Predictor.pkl")
@app.route('/')
def home():
return render_template('Loan_App_Template.html')
@app.route('/predict', methods... | Loan_App.py | import numpy as np
import pandas as pd
from flask import Flask, request, render_template
import joblib
#Creating the flask app
app = Flask(__name__)
model = joblib.load("Loan_Predictor.pkl")
@app.route('/')
def home():
return render_template('Loan_App_Template.html')
@app.route('/predict', methods... | 0.17824 | 0.083367 |
from logic import loader
from data import player_runtime
from data.heros import hrs
import random
import copy
def dojob(x,y,is_mouse_down):
loader.screen.blit(loader.SELECT_HELP, (120, 0))
loader.screen.blit(loader.SELECT_PLAYER, (400, 220))
if x >= 400 and x < 520 and y >= 220 and y < 340:
pla... | logic/s_game_select_player.py |
from logic import loader
from data import player_runtime
from data.heros import hrs
import random
import copy
def dojob(x,y,is_mouse_down):
loader.screen.blit(loader.SELECT_HELP, (120, 0))
loader.screen.blit(loader.SELECT_PLAYER, (400, 220))
if x >= 400 and x < 520 and y >= 220 and y < 340:
pla... | 0.100552 | 0.342159 |
import os
import numpy as np
import pandas as pd
from utils.multi_thres_and_leak import *
def use_threshold(result_npy_file):
#It's the best threshold
threshold=np.array([0.422, 0.15, 0.454, 0.29, 0.348, 0.331, 0.15, 0.572, 0.15,0.15, 0.15, 0.15, 0.15 , 0.15 , 0.15, 0.15, 0.299, 0.15 , 0.15 , 0.15 , ... | vpp/src/result_summary_tiny.py | import os
import numpy as np
import pandas as pd
from utils.multi_thres_and_leak import *
def use_threshold(result_npy_file):
#It's the best threshold
threshold=np.array([0.422, 0.15, 0.454, 0.29, 0.348, 0.331, 0.15, 0.572, 0.15,0.15, 0.15, 0.15, 0.15 , 0.15 , 0.15, 0.15, 0.299, 0.15 , 0.15 , 0.15 , ... | 0.171234 | 0.239738 |
from datetime import timedelta
import faker
import pytz
import factory
from factory import SubFactory, fuzzy
from factory.django import DjangoModelFactory
from factory.fuzzy import FuzzyChoice
from courses.factories import CourseFactory
from exams.models import (
ExamAuthorization,
ExamProfile,
ExamRun,
... | exams/factories.py | from datetime import timedelta
import faker
import pytz
import factory
from factory import SubFactory, fuzzy
from factory.django import DjangoModelFactory
from factory.fuzzy import FuzzyChoice
from courses.factories import CourseFactory
from exams.models import (
ExamAuthorization,
ExamProfile,
ExamRun,
... | 0.530966 | 0.232637 |
import cairo
import math
parties = [
[ "Konservemuloj", (29, 113, 184), 36.9, 331 ],
[ "Laboristoj", (190, 22, 34), 30.4, 232 ],
[ "UKIP", (106, 37, 118), 12.6, 1 ],
[ "<NAME>", (251, 186, 48), 7.9, 8 ],
[ "SNP", (0, 242, 229), 4.7, 56 ],
[ "<NAME>", (156, 196, 58), 3.8, 1 ],
[ "DUP", (193... | torto.py |
import cairo
import math
parties = [
[ "Konservemuloj", (29, 113, 184), 36.9, 331 ],
[ "Laboristoj", (190, 22, 34), 30.4, 232 ],
[ "UKIP", (106, 37, 118), 12.6, 1 ],
[ "<NAME>", (251, 186, 48), 7.9, 8 ],
[ "SNP", (0, 242, 229), 4.7, 56 ],
[ "<NAME>", (156, 196, 58), 3.8, 1 ],
[ "DUP", (193... | 0.307254 | 0.212099 |
from __future__ import print_function
from __future__ import absolute_import
import numpy as nm
import sys
from six.moves import range
sys.path.append('.')
from sfepy.base.base import output, assert_
from sfepy.base.ioutils import ensure_path
from sfepy.linalg import cycle
from sfepy.discrete.fem.mesh import Mesh
from... | sfepy/mesh/mesh_generators.py | from __future__ import print_function
from __future__ import absolute_import
import numpy as nm
import sys
from six.moves import range
sys.path.append('.')
from sfepy.base.base import output, assert_
from sfepy.base.ioutils import ensure_path
from sfepy.linalg import cycle
from sfepy.discrete.fem.mesh import Mesh
from... | 0.725746 | 0.542863 |
import math
def stringify(attribute_value):
if isinstance(attribute_value, list):
attribute_value = [str(val) for val in attribute_value]
try:
return str((", ".join(attribute_value)).encode('utf-8').strip())
except:
return str(", ".join(attribute_value)).strip()
... | q11/tika-similarity-edited/vector.py |
import math
def stringify(attribute_value):
if isinstance(attribute_value, list):
attribute_value = [str(val) for val in attribute_value]
try:
return str((", ".join(attribute_value)).encode('utf-8').strip())
except:
return str(", ".join(attribute_value)).strip()
... | 0.530723 | 0.353763 |
from __future__ import print_function
import torch
import torch.nn as nn
import torch.nn.functional as F
import math
from torch.optim import lr_scheduler
from torch.autograd import Variable
def squash(x):
lengths2 = x.pow(2).sum(dim=2)
lengths = lengths2.sqrt()
x = x * (lengths2 / (1 + lengths2) / lengt... | capsule_net.py | from __future__ import print_function
import torch
import torch.nn as nn
import torch.nn.functional as F
import math
from torch.optim import lr_scheduler
from torch.autograd import Variable
def squash(x):
lengths2 = x.pow(2).sum(dim=2)
lengths = lengths2.sqrt()
x = x * (lengths2 / (1 + lengths2) / lengt... | 0.954921 | 0.505493 |
import yaml
import time
from gi.repository import Gtk, Gio, Gdk, Pango
from simulator import FRISCProcessor
from utils import *
# TODO: Search / go to line custom function
class SimulatorView( Gtk.Grid ):
memoryModel = Gtk.ListStore( str, str, str, int, str )
program = ''
memoryState = []
flags = { '... | simulator_view.py | import yaml
import time
from gi.repository import Gtk, Gio, Gdk, Pango
from simulator import FRISCProcessor
from utils import *
# TODO: Search / go to line custom function
class SimulatorView( Gtk.Grid ):
memoryModel = Gtk.ListStore( str, str, str, int, str )
program = ''
memoryState = []
flags = { '... | 0.11937 | 0.123921 |
from pycatia.drafting_interfaces.drawing_dimension import DrawingDimension
from pycatia.system_interfaces.any_object import AnyObject
from pycatia.tps_interfaces.dimension_limit import DimensionLimit
class NonSemanticDimension(AnyObject):
"""
.. note::
:class: toggle
CAA V5 Visual... | pycatia/tps_interfaces/non_semantic_dimension.py | from pycatia.drafting_interfaces.drawing_dimension import DrawingDimension
from pycatia.system_interfaces.any_object import AnyObject
from pycatia.tps_interfaces.dimension_limit import DimensionLimit
class NonSemanticDimension(AnyObject):
"""
.. note::
:class: toggle
CAA V5 Visual... | 0.91243 | 0.320635 |
from typing import List, Dict
from Murphi.ModularMurphi.MurphiTokens import MurphiTokens
from Murphi.ModularMurphi.TemplateClass import TemplateHandler
from DataObjects.ClassArchitecture import Architecture
from DataObjects.ClassCluster import Cluster
from DataObjects.ClassState import State
from DataObjects.ClassTra... | Murphi/ModularMurphi/GenAccessSendFunc.py | from typing import List, Dict
from Murphi.ModularMurphi.MurphiTokens import MurphiTokens
from Murphi.ModularMurphi.TemplateClass import TemplateHandler
from DataObjects.ClassArchitecture import Architecture
from DataObjects.ClassCluster import Cluster
from DataObjects.ClassState import State
from DataObjects.ClassTra... | 0.80837 | 0.291876 |
import pytest
from django.db import IntegrityError
from django.test.utils import override_settings
from .models import (TestModel, TestModelWithForeignKey, TestModelWithNonEditableFields,
OrdinaryTestModel, OrdinaryTestModelWithForeignKey, TestModelWithSelfForeignKey,
TestExp... | tests/test_non_regression.py | import pytest
from django.db import IntegrityError
from django.test.utils import override_settings
from .models import (TestModel, TestModelWithForeignKey, TestModelWithNonEditableFields,
OrdinaryTestModel, OrdinaryTestModelWithForeignKey, TestModelWithSelfForeignKey,
TestExp... | 0.55097 | 0.337995 |
import gym
import random
import numpy as np
import pickle
import time
from config import number_states_to_keep, data_folder
from utils import rgb2grey
import copy
env_name = "CarRacing-v0"
env = gym.make(env_name)
if __name__ == "__main__":
from pyglet.window import key
a = np.array([0.0, 0.0, 0.0])
de... | get_experience.py | import gym
import random
import numpy as np
import pickle
import time
from config import number_states_to_keep, data_folder
from utils import rgb2grey
import copy
env_name = "CarRacing-v0"
env = gym.make(env_name)
if __name__ == "__main__":
from pyglet.window import key
a = np.array([0.0, 0.0, 0.0])
de... | 0.354321 | 0.369599 |
import os
import random
from .. import Problem, ProblemInstance, instance_path
from ...util import mkfile, curr_dir_relative
from ...system import *
NUM_TRIALS = 20
def partition(xs, rate=50):
k = int((len(xs) / 100)*rate)
return xs[:k], xs[k:]
class Hexose(Problem):
def __init__(self, problem):
... | ilpexp/problem/hexose/hexose.py | import os
import random
from .. import Problem, ProblemInstance, instance_path
from ...util import mkfile, curr_dir_relative
from ...system import *
NUM_TRIALS = 20
def partition(xs, rate=50):
k = int((len(xs) / 100)*rate)
return xs[:k], xs[k:]
class Hexose(Problem):
def __init__(self, problem):
... | 0.398524 | 0.267277 |
MSVC_BIG_WARNING_FLAGS = [
"/W3",
]
LLVM_TEST_DISABLE_WARNINGS_FLAGS = [
"-Wno-c99-extensions",
"-Wno-deprecated-declarations",
"-Wno-missing-noreturn",
"-Wno-missing-prototypes",
"-Wno-missing-variable-declarations",
"-Wno-null-conversion",
"-Wno-shadow",
"-Wno-shift-sign-overflow"... | absl/copts/copts.py | MSVC_BIG_WARNING_FLAGS = [
"/W3",
]
LLVM_TEST_DISABLE_WARNINGS_FLAGS = [
"-Wno-c99-extensions",
"-Wno-deprecated-declarations",
"-Wno-missing-noreturn",
"-Wno-missing-prototypes",
"-Wno-missing-variable-declarations",
"-Wno-null-conversion",
"-Wno-shadow",
"-Wno-shift-sign-overflow"... | 0.493164 | 0.211071 |
import copy
import warnings
from math import sqrt, exp, log, cosh, sinh
import numpy as np
from scipy import linalg
from numpy.testing import assert_array_almost_equal, assert_array_equal
from nose.tools import assert_raises, assert_equal, assert_is_instance, \
assert_greater, assert_greater_equal
from nilearn._u... | nilearn/connectivity/tests/test_embedding.py | import copy
import warnings
from math import sqrt, exp, log, cosh, sinh
import numpy as np
from scipy import linalg
from numpy.testing import assert_array_almost_equal, assert_array_equal
from nose.tools import assert_raises, assert_equal, assert_is_instance, \
assert_greater, assert_greater_equal
from nilearn._u... | 0.834811 | 0.7413 |
import datetime
import numpy as np
import pandas as pd
from sqlalchemy import sql
def get_and_adjust_data(db_engine, station_id, start, end):
"""
Get data from the database in both the bike count format and the outage
format, between the passed dates. If bike count data and outage data is
available fo... | cabi/prepare_data/utils.py | import datetime
import numpy as np
import pandas as pd
from sqlalchemy import sql
def get_and_adjust_data(db_engine, station_id, start, end):
"""
Get data from the database in both the bike count format and the outage
format, between the passed dates. If bike count data and outage data is
available fo... | 0.531209 | 0.648905 |
import numpy as np
from maci.misc.space import MADiscrete, MABox
from maci.environments.env_spec import MAEnvSpec
from rllab.core.serializable import Serializable
class DifferentialGame(Serializable):
def __init__(self, game_name, agent_num, action_low=-10, action_high=10):
Serializable.quick_init(self,... | maci/environments/differential_game.py | import numpy as np
from maci.misc.space import MADiscrete, MABox
from maci.environments.env_spec import MAEnvSpec
from rllab.core.serializable import Serializable
class DifferentialGame(Serializable):
def __init__(self, game_name, agent_num, action_low=-10, action_high=10):
Serializable.quick_init(self,... | 0.538741 | 0.53048 |
import os
import pathlib
from ote.tests.test_case import (create_export_test_case,
create_test_case,
skip_if_cuda_not_available)
from ote.utils.misc import run_through_shell
def create_image_classification_export_test_case(**kwargs):
expected_out... | models/image_classification/tests/common/image_classification_test_case.py |
import os
import pathlib
from ote.tests.test_case import (create_export_test_case,
create_test_case,
skip_if_cuda_not_available)
from ote.utils.misc import run_through_shell
def create_image_classification_export_test_case(**kwargs):
expected_out... | 0.41253 | 0.252995 |
import socket
import ssl
import datetime
import requests
import sys
import whois
from config import DOMAINS, DAYS_LIMIT_CERT, DAYS_LIMIT_DOMAIN, APITOKEN, CHATID
date_fmt = r'%b %d %H:%M:%S %Y %Z'
MESSAGE_CERTIFICATE_EXPIRED = "⚠️ SSL expired on {}"
MESSAGE_HOSTNAME_MISMATCH = "⚠️ SSL hostname mismatch on {}"
MESSAGE... | main.py |
import socket
import ssl
import datetime
import requests
import sys
import whois
from config import DOMAINS, DAYS_LIMIT_CERT, DAYS_LIMIT_DOMAIN, APITOKEN, CHATID
date_fmt = r'%b %d %H:%M:%S %Y %Z'
MESSAGE_CERTIFICATE_EXPIRED = "⚠️ SSL expired on {}"
MESSAGE_HOSTNAME_MISMATCH = "⚠️ SSL hostname mismatch on {}"
MESSAGE... | 0.398524 | 0.102529 |
import datetime
import json
from typing import Any, Dict, List, Optional
import pytest
from google.appengine.ext import ndb
from pyre_extensions import none_throws
from werkzeug.test import Client
from backend.api.trusted_api_auth_helper import TrustedApiAuthHelper
from backend.common.consts.alliance_color import All... | src/backend/api/handlers/tests/update_event_matches_test.py | import datetime
import json
from typing import Any, Dict, List, Optional
import pytest
from google.appengine.ext import ndb
from pyre_extensions import none_throws
from werkzeug.test import Client
from backend.api.trusted_api_auth_helper import TrustedApiAuthHelper
from backend.common.consts.alliance_color import All... | 0.616243 | 0.251659 |
# imports
import numpy as np
device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
device = "cpu"
print(device)
from google.colab import drive
drive.mount('/content/drive')
import torch, torchvision, torchvision.transforms as transforms
from torchvision.datasets import FashionMNIST
transform = tran... | Problem 2/cnn.py |
# imports
import numpy as np
device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
device = "cpu"
print(device)
from google.colab import drive
drive.mount('/content/drive')
import torch, torchvision, torchvision.transforms as transforms
from torchvision.datasets import FashionMNIST
transform = tran... | 0.861538 | 0.588978 |
import datetime
from enum import Enum
from typing import List
import demoji
import requests
from sqlalchemy import func, or_, create_engine
from sqlalchemy.exc import IntegrityError
from sqlalchemy.orm import Session, sessionmaker
from sqlalchemy.orm.attributes import InstrumentedAttribute
from definitions import MYS... | src/db_utils.py | import datetime
from enum import Enum
from typing import List
import demoji
import requests
from sqlalchemy import func, or_, create_engine
from sqlalchemy.exc import IntegrityError
from sqlalchemy.orm import Session, sessionmaker
from sqlalchemy.orm.attributes import InstrumentedAttribute
from definitions import MYS... | 0.57093 | 0.144269 |
from part1 import (
gamma_board,
gamma_busy_fields,
gamma_delete,
gamma_free_fields,
gamma_golden_move,
gamma_golden_possible,
gamma_move,
gamma_new,
)
"""
scenario: test_random_actions
uuid: 414723703
"""
"""
random actions, total chaos
"""
board = gamma_new(8, 8, 6, 11)
assert board i... | z2/part2/interactive/jm/random_fuzzy_arrows_1/414723703.py | from part1 import (
gamma_board,
gamma_busy_fields,
gamma_delete,
gamma_free_fields,
gamma_golden_move,
gamma_golden_possible,
gamma_move,
gamma_new,
)
"""
scenario: test_random_actions
uuid: 414723703
"""
"""
random actions, total chaos
"""
board = gamma_new(8, 8, 6, 11)
assert board i... | 0.81928 | 0.874292 |
"""Parameter info lib for resource completers."""
from __future__ import absolute_import
from __future__ import division
from __future__ import unicode_literals
from googlecloudsdk.calliope.concepts import deps
from googlecloudsdk.calliope.concepts import handlers
from googlecloudsdk.calliope.concepts import util
fro... | lib/googlecloudsdk/command_lib/util/concepts/resource_parameter_info.py | """Parameter info lib for resource completers."""
from __future__ import absolute_import
from __future__ import division
from __future__ import unicode_literals
from googlecloudsdk.calliope.concepts import deps
from googlecloudsdk.calliope.concepts import handlers
from googlecloudsdk.calliope.concepts import util
fro... | 0.666062 | 0.113875 |
import os
import time
import tinctest
from mpp.lib.PSQL import PSQL
from gppylib.commands.base import Command
from gppylib.commands.base import REMOTE
from gppylib.commands.gp import GpLogFilter
from gppylib.gparray import GpArray
from gppylib.db.dbconn import DbURL, connect
_DEFAULT_OUT_FILE = '/tmp/cluster.logs'
... | src/test/tinc/tincrepo/mpp/lib/gplog.py | import os
import time
import tinctest
from mpp.lib.PSQL import PSQL
from gppylib.commands.base import Command
from gppylib.commands.base import REMOTE
from gppylib.commands.gp import GpLogFilter
from gppylib.gparray import GpArray
from gppylib.db.dbconn import DbURL, connect
_DEFAULT_OUT_FILE = '/tmp/cluster.logs'
... | 0.417271 | 0.118691 |
import sys
from unittest import mock
from unittest.mock import call
import fake_rpi
from freezegun import freeze_time
from config import config
from config.config import MODES
sys.modules['RPi'] = fake_rpi.RPi # Fake RPi
sys.modules['RPi.GPIO'] = fake_rpi.RPi.GPIO # Fake GPIO
config.MODE = MODES['vegetation']
fr... | tests/light_controller.py | import sys
from unittest import mock
from unittest.mock import call
import fake_rpi
from freezegun import freeze_time
from config import config
from config.config import MODES
sys.modules['RPi'] = fake_rpi.RPi # Fake RPi
sys.modules['RPi.GPIO'] = fake_rpi.RPi.GPIO # Fake GPIO
config.MODE = MODES['vegetation']
fr... | 0.485844 | 0.350644 |
import ConfigParser
import os
import re
import shutil
import functest.utils.functest_logger as ft_logger
import functest.opnfv_tests.openstack.tempest.conf_utils as tempest_utils
logger = ft_logger.Logger("sdnvpn-tempest").getLogger()
def main():
verifier_repo_dir = tempest_utils.get_verifier_repo_dir(None)
... | sdnvpn/test/functest/tempest.py | import ConfigParser
import os
import re
import shutil
import functest.utils.functest_logger as ft_logger
import functest.opnfv_tests.openstack.tempest.conf_utils as tempest_utils
logger = ft_logger.Logger("sdnvpn-tempest").getLogger()
def main():
verifier_repo_dir = tempest_utils.get_verifier_repo_dir(None)
... | 0.235812 | 0.129981 |
import black
import isort
def black_format(code: str, is_pyi: bool = False, line_length: int = 88) -> str:
"""Formats the provided code snippet using black"""
try:
return black.format_file_contents(
code,
fast=True,
mode=black.FileMode( # type: ignore
... | tests/unit/profiles/test_black.py | import black
import isort
def black_format(code: str, is_pyi: bool = False, line_length: int = 88) -> str:
"""Formats the provided code snippet using black"""
try:
return black.format_file_contents(
code,
fast=True,
mode=black.FileMode( # type: ignore
... | 0.530966 | 0.415314 |
import discord
from discord.ext import tasks, commands
import asyncio
from io import BytesIO
import requests
from PIL import Image, ImageDraw, ImageFont, ImageFilter, ImageOps
import random
class Event(commands.Cog):
def __init__(self, technetium):
self.bot = technetium #botを受け取る。
self.accent_colo... | technetium_cogs/event.py | import discord
from discord.ext import tasks, commands
import asyncio
from io import BytesIO
import requests
from PIL import Image, ImageDraw, ImageFont, ImageFilter, ImageOps
import random
class Event(commands.Cog):
def __init__(self, technetium):
self.bot = technetium #botを受け取る。
self.accent_colo... | 0.221351 | 0.144994 |
"""Tests for the Systemd Journal parser."""
from __future__ import unicode_literals
import unittest
try:
from plaso.parsers import systemd_journal
except ImportError:
systemd_journal = None
from tests.parsers import test_lib
@unittest.skipIf(systemd_journal is None, 'requires LZMA compression support')
class ... | tests/parsers/systemd_journal.py | """Tests for the Systemd Journal parser."""
from __future__ import unicode_literals
import unittest
try:
from plaso.parsers import systemd_journal
except ImportError:
systemd_journal = None
from tests.parsers import test_lib
@unittest.skipIf(systemd_journal is None, 'requires LZMA compression support')
class ... | 0.802865 | 0.496826 |
from typing import List, Tuple
import numpy as np
from tensorflow import keras
from tensorflow.keras.preprocessing import sequence
from src.binaryds import BinaryDs
LN100 = 2 * np.log(10)
class DataGenerator(keras.utils.Sequence):
def __init__(self, dataset: BinaryDs, batch_size: int,
predict... | src/datagenerator.py | from typing import List, Tuple
import numpy as np
from tensorflow import keras
from tensorflow.keras.preprocessing import sequence
from src.binaryds import BinaryDs
LN100 = 2 * np.log(10)
class DataGenerator(keras.utils.Sequence):
def __init__(self, dataset: BinaryDs, batch_size: int,
predict... | 0.871748 | 0.420629 |
from collections import deque
import time
import datetime
import numpy as np
import pytest
from unittest.mock import MagicMock
from nessai.nestedsampler import NestedSampler
@pytest.fixture()
def sampler(sampler):
sampler.state = MagicMock()
return sampler
def test_log_evidence(sampler):
"""Check evide... | tests/test_nested_sampler/test_properties.py | from collections import deque
import time
import datetime
import numpy as np
import pytest
from unittest.mock import MagicMock
from nessai.nestedsampler import NestedSampler
@pytest.fixture()
def sampler(sampler):
sampler.state = MagicMock()
return sampler
def test_log_evidence(sampler):
"""Check evide... | 0.904839 | 0.682174 |
import math
from argparse import ArgumentParser
from datetime import timedelta as delta
import numpy as np
import pytest
from parcels import AdvectionEE
from parcels import AdvectionRK4
from parcels import AdvectionRK45
from parcels import FieldSet
from parcels import JITParticle
from parcels import ParticleSet
from ... | parcels/examples/example_stommel.py | import math
from argparse import ArgumentParser
from datetime import timedelta as delta
import numpy as np
import pytest
from parcels import AdvectionEE
from parcels import AdvectionRK4
from parcels import AdvectionRK45
from parcels import FieldSet
from parcels import JITParticle
from parcels import ParticleSet
from ... | 0.645455 | 0.408631 |
"tigereye task module."
import abc
import string
import argparse
from .error import InternalError, UsageError
from .util import subclasses, funcargs_eval, error_warn, args_pop
class Task(object):
__metaclass__ = abc.ABCMeta
def __new__(cls, targv):
parser = argparse.ArgumentParser(description='tig... | tigereye/task.py | "tigereye task module."
import abc
import string
import argparse
from .error import InternalError, UsageError
from .util import subclasses, funcargs_eval, error_warn, args_pop
class Task(object):
__metaclass__ = abc.ABCMeta
def __new__(cls, targv):
parser = argparse.ArgumentParser(description='tig... | 0.327023 | 0.10217 |
from __future__ import print_function
import json
import logging
import sys
from distutils import spawn
_ERROR_MESSAGE_EXECUTABLE_MARKER = "__EXECUTABLE_NAME__"
_ERROR_MESSAGE_DEFAULT_TEMPLATE = "Not found: {}".format(_ERROR_MESSAGE_EXECUTABLE_MARKER)
def configure_logger():
"""
Configures the logging setti... | modules/require-executable/require_executable.py | from __future__ import print_function
import json
import logging
import sys
from distutils import spawn
_ERROR_MESSAGE_EXECUTABLE_MARKER = "__EXECUTABLE_NAME__"
_ERROR_MESSAGE_DEFAULT_TEMPLATE = "Not found: {}".format(_ERROR_MESSAGE_EXECUTABLE_MARKER)
def configure_logger():
"""
Configures the logging setti... | 0.369315 | 0.051918 |
import csv
import logging
import StringIO
from dashboard.common import datastore_hooks
from dashboard.common import request_handler
from dashboard.common import utils
from dashboard.models import graph_data
class GraphCsvHandler(request_handler.RequestHandler):
"""Request handler for getting data from one series a... | dashboard/dashboard/graph_csv.py | import csv
import logging
import StringIO
from dashboard.common import datastore_hooks
from dashboard.common import request_handler
from dashboard.common import utils
from dashboard.models import graph_data
class GraphCsvHandler(request_handler.RequestHandler):
"""Request handler for getting data from one series a... | 0.781497 | 0.28398 |
import base64
import dataclasses
import algosdk
from algosdk.kmd import KMDClient
from algosdk.wallet import Wallet
from algosdk.v2client import algod, indexer
from algosdk import mnemonic, util
from algoapp_method_unittest import *
from asa_state_observer.asa_state_observer_asc1 import (
compile_stateful,
a... | asa_state_observer_test.py | import base64
import dataclasses
import algosdk
from algosdk.kmd import KMDClient
from algosdk.wallet import Wallet
from algosdk.v2client import algod, indexer
from algosdk import mnemonic, util
from algoapp_method_unittest import *
from asa_state_observer.asa_state_observer_asc1 import (
compile_stateful,
a... | 0.533884 | 0.126192 |
import json
import socket
import time
import sys
from typing import Any, Optional
from ev3dev2simulator.config.config import get_simulation_settings, load_config
from ev3dev2simulator.connection.message.command import Command
THIS = sys.modules[__name__]
class ClientSocket:
"""
Class responsible for the esta... | ev3dev2simulator/connection/client_socket.py | import json
import socket
import time
import sys
from typing import Any, Optional
from ev3dev2simulator.config.config import get_simulation_settings, load_config
from ev3dev2simulator.connection.message.command import Command
THIS = sys.modules[__name__]
class ClientSocket:
"""
Class responsible for the esta... | 0.627723 | 0.144903 |
import numpy as np
from .harmonics import ut_E
from .utilities import Bunch
from ._time_conversion import _normalize_time
def reconstruct(t, coef,
epoch='python',
verbose=True,
constit=None,
min_SNR=2,
min_PE=0):
"""
Reconstruct a... | utide/_reconstruct.py | import numpy as np
from .harmonics import ut_E
from .utilities import Bunch
from ._time_conversion import _normalize_time
def reconstruct(t, coef,
epoch='python',
verbose=True,
constit=None,
min_SNR=2,
min_PE=0):
"""
Reconstruct a... | 0.796411 | 0.562417 |
import os.path
import sys
import re
from httplib2 import Http
from urllib import urlencode
def main():
# cd to the script directory
try: __file__
except NameError:
basepath = '/Users/andreivarabyou/Documents/git/picEdit/build/'
else:
basepath = os.path.dirname(__file__)
... | application/libraries/javascript/js/picEdit-master/build/build.py |
import os.path
import sys
import re
from httplib2 import Http
from urllib import urlencode
def main():
# cd to the script directory
try: __file__
except NameError:
basepath = '/Users/andreivarabyou/Documents/git/picEdit/build/'
else:
basepath = os.path.dirname(__file__)
... | 0.145449 | 0.044995 |
from __future__ import division
import numpy as np
import matplotlib.pyplot as plt
import scipy
import pandas as pd
import json
from .util import *
class Crop():
def __init__(self, key):
self.key = key
self.tau = {}
self.beta = {}
self.delta = {}
self.gamma = {}
self.leontief = {}
self... | Stochastic_engine/cord/crop.py | from __future__ import division
import numpy as np
import matplotlib.pyplot as plt
import scipy
import pandas as pd
import json
from .util import *
class Crop():
def __init__(self, key):
self.key = key
self.tau = {}
self.beta = {}
self.delta = {}
self.gamma = {}
self.leontief = {}
self... | 0.335677 | 0.165189 |
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from .. import _utilities, _tables
from . import outputs
from ._inputs import *
__all__ = ['EnvironmentArgs', 'Environment']
@pulumi.input_type
class EnvironmentArgs:
def __init__(__self__, *,... | sdk/python/pulumi_aws/mwaa/environment.py |
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from .. import _utilities, _tables
from . import outputs
from ._inputs import *
__all__ = ['EnvironmentArgs', 'Environment']
@pulumi.input_type
class EnvironmentArgs:
def __init__(__self__, *,... | 0.867878 | 0.128388 |
from asyncio import CancelledError, TimeoutError, ensure_future, gather, sleep, wait
from collections import defaultdict
from datetime import datetime, timezone
import logging
from aiohttp import ClientError, ClientResponseError, FormData
import immp
try:
from telethon import TelegramClient, events, tl
from... | immp/plug/telegram.py | from asyncio import CancelledError, TimeoutError, ensure_future, gather, sleep, wait
from collections import defaultdict
from datetime import datetime, timezone
import logging
from aiohttp import ClientError, ClientResponseError, FormData
import immp
try:
from telethon import TelegramClient, events, tl
from... | 0.657209 | 0.109111 |
import unittest
from . import EventBusBridgeStarter, CountDownLatch
from vertx import EventBus
class EventBusClientTLSTests(unittest.TestCase):
"""
Tests against EventBus Bridge with TLS enabled.
"""
def __init__(self, *args, **kwargs):
super(EventBusClientTLSTests, self).__init__(*args, **kwa... | python/test/systemtesting/test_eventbus_tls.py | import unittest
from . import EventBusBridgeStarter, CountDownLatch
from vertx import EventBus
class EventBusClientTLSTests(unittest.TestCase):
"""
Tests against EventBus Bridge with TLS enabled.
"""
def __init__(self, *args, **kwargs):
super(EventBusClientTLSTests, self).__init__(*args, **kwa... | 0.413359 | 0.288118 |
import os
import unittest
import shutil
from collections import defaultdict
from jumpdir.directories import Directories
from tests.tools import create_dtree
simple_dtree = {
'first': {
'example': None,
},
'second': {
'toot toot': None,
'bootboot': {
'jam_recipes':... | tests/directories_test.py | import os
import unittest
import shutil
from collections import defaultdict
from jumpdir.directories import Directories
from tests.tools import create_dtree
simple_dtree = {
'first': {
'example': None,
},
'second': {
'toot toot': None,
'bootboot': {
'jam_recipes':... | 0.42656 | 0.40116 |
"""A simple Q-learning agent trained to play Catch."""
from absl import app
from absl import flags
from bsuite.experiments.catch import catch
import haiku as hk
from haiku import nets
import jax
from jax.experimental import optix
import jax.numpy as jnp
import rlax
FLAGS = flags.FLAGS
flags.DEFINE_integer("train_epi... | examples/catch.py | """A simple Q-learning agent trained to play Catch."""
from absl import app
from absl import flags
from bsuite.experiments.catch import catch
import haiku as hk
from haiku import nets
import jax
from jax.experimental import optix
import jax.numpy as jnp
import rlax
FLAGS = flags.FLAGS
flags.DEFINE_integer("train_epi... | 0.872429 | 0.481088 |
import copy
import hashlib
import time
from json import JSONDecodeError
from flexget import plugin
from flexget.entry import Entry
from flexget.event import event
from flexget.plugins.clients.deluge import OutputDeluge
from flexget.plugins.clients.transmission import PluginTransmission
from flexget.utils import json
f... | iyuu_auto_reseed.py | import copy
import hashlib
import time
from json import JSONDecodeError
from flexget import plugin
from flexget.entry import Entry
from flexget.event import event
from flexget.plugins.clients.deluge import OutputDeluge
from flexget.plugins.clients.transmission import PluginTransmission
from flexget.utils import json
f... | 0.22919 | 0.095602 |
from datetime import datetime
from http import HTTPStatus
from operator import itemgetter
from typing import List, Optional, Tuple, Union, cast
import faiss
import torch
from fastapi import FastAPI, Request
from pydantic import BaseSettings
from semantic_search import __version__
from semantic_search.common.util impo... | semantic_search/main.py | from datetime import datetime
from http import HTTPStatus
from operator import itemgetter
from typing import List, Optional, Tuple, Union, cast
import faiss
import torch
from fastapi import FastAPI, Request
from pydantic import BaseSettings
from semantic_search import __version__
from semantic_search.common.util impo... | 0.947308 | 0.309663 |
from dataclasses import dataclass
from sqlalchemy import select, insert, update, delete
from sqlalchemy.exc import NoResultFound
from sqlalchemy.ext.asyncio import AsyncSession
from .dto import TodoOutDTO, CreatingTodoDTO, UpdatingTodoDTO
from .models import Todo
@dataclass
class TodoNotFound(Exception):
todo_i... | app/modules/todo/services.py | from dataclasses import dataclass
from sqlalchemy import select, insert, update, delete
from sqlalchemy.exc import NoResultFound
from sqlalchemy.ext.asyncio import AsyncSession
from .dto import TodoOutDTO, CreatingTodoDTO, UpdatingTodoDTO
from .models import Todo
@dataclass
class TodoNotFound(Exception):
todo_i... | 0.505859 | 0.233411 |
import os
import sys
import json
import torch
import logging
from tqdm import tqdm
from . import loader_utils
from ..constant import BOS_WORD, EOS_WORD
logger = logging.getLogger()
# -------------------------------------------------------------------------------------------
# preprocess label
# ----------------------... | bertkpe/dataloader/bert2span_dataloader.py | import os
import sys
import json
import torch
import logging
from tqdm import tqdm
from . import loader_utils
from ..constant import BOS_WORD, EOS_WORD
logger = logging.getLogger()
# -------------------------------------------------------------------------------------------
# preprocess label
# ----------------------... | 0.385606 | 0.327144 |
import torch
from torch import nn
import torch.nn.functional as F
from models.attention import ChannelAttention, SpatialAttention
class BasicConvBlock(nn.Module):
def __init__(self, in_chans, out_chans, stride=1):
super().__init__()
self.layers = nn.Sequential(
nn.Conv2d(in_chans, out... | models/new_edsr_unet.py | import torch
from torch import nn
import torch.nn.functional as F
from models.attention import ChannelAttention, SpatialAttention
class BasicConvBlock(nn.Module):
def __init__(self, in_chans, out_chans, stride=1):
super().__init__()
self.layers = nn.Sequential(
nn.Conv2d(in_chans, out... | 0.950238 | 0.435721 |
from __future__ import absolute_import
import abc
import contextlib
from galaxy.tool_util.verify import interactor
from planemo.galaxy.activity import execute
from planemo.galaxy.config import external_galaxy_config
from planemo.galaxy.serve import serve_daemon
from planemo.runnable import RunnableType
from .interfa... | planemo/engine/galaxy.py | from __future__ import absolute_import
import abc
import contextlib
from galaxy.tool_util.verify import interactor
from planemo.galaxy.activity import execute
from planemo.galaxy.config import external_galaxy_config
from planemo.galaxy.serve import serve_daemon
from planemo.runnable import RunnableType
from .interfa... | 0.619011 | 0.193471 |
import logging
import voluptuous as vol
from homeassistant.components.climate import ClimateDevice, PLATFORM_SCHEMA
from homeassistant.const import (
CONF_MAC, TEMP_CELSIUS, CONF_DEVICES, ATTR_TEMPERATURE)
from homeassistant.util.temperature import convert
import homeassistant.helpers.config_validation as cv
REQ... | homeassistant/components/climate/eq3btsmart.py | import logging
import voluptuous as vol
from homeassistant.components.climate import ClimateDevice, PLATFORM_SCHEMA
from homeassistant.const import (
CONF_MAC, TEMP_CELSIUS, CONF_DEVICES, ATTR_TEMPERATURE)
from homeassistant.util.temperature import convert
import homeassistant.helpers.config_validation as cv
REQ... | 0.779657 | 0.192122 |
import random
from protocolbuffers import SimObjectAttributes_pb2 as protocols
from interactions import ParticipantType
from interactions.utils.interaction_elements import XevtTriggeredElement
from interactions.utils.loot_basic_op import BaseLootOperation, BaseTargetedLootOperation
from objects.client_object_mixin impo... | Scripts/simulation/objects/components/name_component.py | import random
from protocolbuffers import SimObjectAttributes_pb2 as protocols
from interactions import ParticipantType
from interactions.utils.interaction_elements import XevtTriggeredElement
from interactions.utils.loot_basic_op import BaseLootOperation, BaseTargetedLootOperation
from objects.client_object_mixin impo... | 0.570092 | 0.130175 |
import copy
import os
import warnings
import yaml
import topside as top
from topside.pdl import exceptions, utils
# imports is a dict of {package name: path to file}, used to locate files to load
# on requested import.
# TODO: make importing more efficent by having a YAML file storing the self.importable_files dict... | topside/pdl/package.py | import copy
import os
import warnings
import yaml
import topside as top
from topside.pdl import exceptions, utils
# imports is a dict of {package name: path to file}, used to locate files to load
# on requested import.
# TODO: make importing more efficent by having a YAML file storing the self.importable_files dict... | 0.39946 | 0.291825 |
import graphene
from lingvodoc.schema.gql_holders import (
LingvodocObjectType,
CompositeIdHolder,
CreatedAt,
MarkedForDeletion,
TypeHolder,
client_id_check,
acl_check_by_id,
ResponseError,
fetch_object,
LingvodocID,
TranslationHolder
)
from lingvodoc.models import (
Tr... | lingvodoc/schema/gql_translationgist.py | import graphene
from lingvodoc.schema.gql_holders import (
LingvodocObjectType,
CompositeIdHolder,
CreatedAt,
MarkedForDeletion,
TypeHolder,
client_id_check,
acl_check_by_id,
ResponseError,
fetch_object,
LingvodocID,
TranslationHolder
)
from lingvodoc.models import (
Tr... | 0.282196 | 0.128552 |
from copy import deepcopy
from typing import List
from operator_generator_strategies.base_generator_strategy import BaseGeneratorStrategy
from operators.filter_operator import FilterOperator
from operators.map_operator import MapOperator
from utils.contracts import Operator, Schema, FieldAssignmentExpression, FieldAcc... | operator_generator_strategies/equivalent_operator_strategies/filter_substitute_map_expression_startegy.py | from copy import deepcopy
from typing import List
from operator_generator_strategies.base_generator_strategy import BaseGeneratorStrategy
from operators.filter_operator import FilterOperator
from operators.map_operator import MapOperator
from utils.contracts import Operator, Schema, FieldAssignmentExpression, FieldAcc... | 0.841988 | 0.392511 |
import os
import nuke
from avalon.nuke import lib as anlib
from pype.api import resources
def set_context_favorites(favorites={}):
""" Addig favorite folders to nuke's browser
Argumets:
favorites (dict): couples of {name:path}
"""
icon_path = resources.get_resource("icons", "folder-favorite3.... | pype/hosts/nuke/utils.py | import os
import nuke
from avalon.nuke import lib as anlib
from pype.api import resources
def set_context_favorites(favorites={}):
""" Addig favorite folders to nuke's browser
Argumets:
favorites (dict): couples of {name:path}
"""
icon_path = resources.get_resource("icons", "folder-favorite3.... | 0.388386 | 0.259227 |
from twilio.base import deserialize
from twilio.base import values
from twilio.base.instance_context import InstanceContext
from twilio.base.instance_resource import InstanceResource
from twilio.base.list_resource import ListResource
from twilio.base.page import Page
class ReservationList(ListResource):
def __in... | lib/python3.5/site-packages/twilio/rest/taskrouter/v1/workspace/task/reservation.py | from twilio.base import deserialize
from twilio.base import values
from twilio.base.instance_context import InstanceContext
from twilio.base.instance_resource import InstanceResource
from twilio.base.list_resource import ListResource
from twilio.base.page import Page
class ReservationList(ListResource):
def __in... | 0.880026 | 0.154535 |
"""Client and server classes corresponding to protobuf-defined services."""
import grpc
import scheduler_pb2 as scheduler__pb2
class ServiceStub(object):
"""Missing associated documentation comment in .proto file."""
def __init__(self, channel):
"""Constructor.
Args:
channel: A ... | tracardi/process_engine/action/v1/pro/scheduler/proto/stubs/scheduler_pb2_grpc.py | """Client and server classes corresponding to protobuf-defined services."""
import grpc
import scheduler_pb2 as scheduler__pb2
class ServiceStub(object):
"""Missing associated documentation comment in .proto file."""
def __init__(self, channel):
"""Constructor.
Args:
channel: A ... | 0.690663 | 0.178311 |
import asyncio
import concurrent.futures
import time
import uuid
import distributed.comm
from distributed import default_client, get_worker
from distributed.comm.addressing import (
parse_address,
parse_host_port,
unparse_address,
)
from . import utils
_default_comms = None
def default_comms(client=Non... | dask_cuda/explicit_comms/comms.py | import asyncio
import concurrent.futures
import time
import uuid
import distributed.comm
from distributed import default_client, get_worker
from distributed.comm.addressing import (
parse_address,
parse_host_port,
unparse_address,
)
from . import utils
_default_comms = None
def default_comms(client=Non... | 0.768473 | 0.207195 |
import binascii
import struct
from datetime import datetime
import re
from mi.core.exceptions import SampleException
# newline.
NEWLINE = '\n\r'
# default timeout.
TIMEOUT = 15
# offset to accurately set instrument clock, in seconds
CLOCK_SYNC_OFFSET = 2.0
# maximum acceptable time difference when verifying clock sy... | mi/instrument/nortek/common.py | import binascii
import struct
from datetime import datetime
import re
from mi.core.exceptions import SampleException
# newline.
NEWLINE = '\n\r'
# default timeout.
TIMEOUT = 15
# offset to accurately set instrument clock, in seconds
CLOCK_SYNC_OFFSET = 2.0
# maximum acceptable time difference when verifying clock sy... | 0.569853 | 0.285565 |
import keras
from keras.preprocessing import image
import json
import dlv
import numpy as np
import os
import inspect
class Model:
def __init__(self, k_model: keras.Model):
"""
:param k_model: keras Model
"""
self._k_model = k_model
# Set layers
self._layers = []
self._layerNameToIdx = {}
self.s... | dlv/model.py | import keras
from keras.preprocessing import image
import json
import dlv
import numpy as np
import os
import inspect
class Model:
def __init__(self, k_model: keras.Model):
"""
:param k_model: keras Model
"""
self._k_model = k_model
# Set layers
self._layers = []
self._layerNameToIdx = {}
self.s... | 0.194444 | 0.384623 |
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union
from .. import _utilities, _tables
from . import outputs
from ._inputs import *
__all__ = ['Trunk']
class Trunk(pulumi.CustomResource):
def __init__(__self__,
resource_name: str,
... | sdk/python/pulumi_openstack/networking/trunk.py |
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union
from .. import _utilities, _tables
from . import outputs
from ._inputs import *
__all__ = ['Trunk']
class Trunk(pulumi.CustomResource):
def __init__(__self__,
resource_name: str,
... | 0.839603 | 0.199035 |
import json
import os
import uuid
import frappe
from frappe.utils import get_files_path
from pdf_text_overlay import pdf_writer
@frappe.whitelist()
def get_filled_pdf():
"""
Receive template_id, data and returns a pdf file.
Post the data to be filled on the pdf form
The value of the key(name) in c... | pdfrender/api/pdfrender.py | import json
import os
import uuid
import frappe
from frappe.utils import get_files_path
from pdf_text_overlay import pdf_writer
@frappe.whitelist()
def get_filled_pdf():
"""
Receive template_id, data and returns a pdf file.
Post the data to be filled on the pdf form
The value of the key(name) in c... | 0.449876 | 0.22093 |
import os, sys
sys.path.append(os.path.join(os.path.dirname(__file__), '..', '..'))
from datetime import datetime
from dateutil.tz import tzlocal
import pytz
import re
import numpy as np
import json
import pandas as pd
import datajoint as dj
import warnings
from pipeline import (lab, experiment, ephys, psth, tracking... | pipeline/export/datajoint_to_nwb.py | import os, sys
sys.path.append(os.path.join(os.path.dirname(__file__), '..', '..'))
from datetime import datetime
from dateutil.tz import tzlocal
import pytz
import re
import numpy as np
import json
import pandas as pd
import datajoint as dj
import warnings
from pipeline import (lab, experiment, ephys, psth, tracking... | 0.382372 | 0.215557 |
from optimizer import optimizer_SGD, AdaGrad, NormGrad, SGD
import numpy as np
from functions import sigmoid, sigmoid_back, clip_grads
class Loss:
def __init__(self):
self.Loss = None
self.dout = None
def forward(self, out, t):
self.Loss = 1/2 * np.sum((out - t)**2)
... | firerate_vs_time/rnnclass.py | from optimizer import optimizer_SGD, AdaGrad, NormGrad, SGD
import numpy as np
from functions import sigmoid, sigmoid_back, clip_grads
class Loss:
def __init__(self):
self.Loss = None
self.dout = None
def forward(self, out, t):
self.Loss = 1/2 * np.sum((out - t)**2)
... | 0.434221 | 0.231647 |
import itertools
import six
import math
class PolylineCodec(object):
def _pcitr(self, iterable):
return six.moves.zip(iterable, itertools.islice(iterable, 1, None))
def _py2_round(self, x):
# The polyline algorithm uses Python 2's way of rounding
return int(math.copysign(ma... | venv/lib/python3.7/site-packages/polyline/codec.py | import itertools
import six
import math
class PolylineCodec(object):
def _pcitr(self, iterable):
return six.moves.zip(iterable, itertools.islice(iterable, 1, None))
def _py2_round(self, x):
# The polyline algorithm uses Python 2's way of rounding
return int(math.copysign(ma... | 0.519765 | 0.402979 |
import logging
import os
import sys
import warnings
from dataclasses import dataclass, field
from random import randint
from typing import Optional
import datasets
import numpy as np
from datasets import DatasetDict, load_dataset
import transformers
from transformers import (
AutoConfig,
AutoFeatureExtractor... | std/huggingface/audio.py |
import logging
import os
import sys
import warnings
from dataclasses import dataclass, field
from random import randint
from typing import Optional
import datasets
import numpy as np
from datasets import DatasetDict, load_dataset
import transformers
from transformers import (
AutoConfig,
AutoFeatureExtractor... | 0.820146 | 0.373504 |
import sqlite3
class Connection():
def __init__(self):
self.connection = sqlite3.connect('results.db')
self.cursor = self.connection.cursor()
self.enable_foreign_keys()
def close(self):
self.connection.close()
def commit(self):
self.connection.commit()
def ro... | database.py | import sqlite3
class Connection():
def __init__(self):
self.connection = sqlite3.connect('results.db')
self.cursor = self.connection.cursor()
self.enable_foreign_keys()
def close(self):
self.connection.close()
def commit(self):
self.connection.commit()
def ro... | 0.196865 | 0.093885 |
def time_stretch(audio, factor, sample_rate=44100):
import pyrubberband as pyrb
return pyrb.time_stretch(audio, sample_rate, factor)
def load_audio(filepath):
# returns loaded mono audio.
from essentia.standard import MonoLoader
return MonoLoader(filename=filepath)()
def save_audio(audio, filena... | pycrossfade/utils.py | def time_stretch(audio, factor, sample_rate=44100):
import pyrubberband as pyrb
return pyrb.time_stretch(audio, sample_rate, factor)
def load_audio(filepath):
# returns loaded mono audio.
from essentia.standard import MonoLoader
return MonoLoader(filename=filepath)()
def save_audio(audio, filena... | 0.524882 | 0.299323 |
# -*- coding:utf-8 -*-
import argparse
import bleu
import weighted_ngram_match
import syntax_match
import dataflow_match
parser = argparse.ArgumentParser()
parser.add_argument('--refs', type=str, nargs='+', required=True,
help='reference files')
parser.add_argument('--hyp', type=str... | Code-Code/code-to-code-trans/evaluator/CodeBLEU/calc_code_bleu.py |
# -*- coding:utf-8 -*-
import argparse
import bleu
import weighted_ngram_match
import syntax_match
import dataflow_match
parser = argparse.ArgumentParser()
parser.add_argument('--refs', type=str, nargs='+', required=True,
help='reference files')
parser.add_argument('--hyp', type=str... | 0.268558 | 0.20834 |
import tensorflow as tf
import tensorblock as tb
class recipe_init:
####### Initialize Variables
def initVariables( self ):
self.labels = {}
self.cnt = 0
self.curr_input = None
self.blocks , self.order = [] , []
self.layers , self.extras = [] , []
self.inputs , ... | tensorblock/recipe/recipe_init.py | import tensorflow as tf
import tensorblock as tb
class recipe_init:
####### Initialize Variables
def initVariables( self ):
self.labels = {}
self.cnt = 0
self.curr_input = None
self.blocks , self.order = [] , []
self.layers , self.extras = [] , []
self.inputs , ... | 0.451085 | 0.084304 |
import panscore
def load(filename:str)->panscore.Score:
#打开文件，返回panscore.Score对象
#由于编码不确定，先用二进制打开文件
with open(filename,'rb') as f:
file=f.read()
#读取编码
if(b"Charset=UTF-8" in file):
encoding="utf-8"
else:
encoding="shift-JIS"
#分块
blocks=[]
block=... | panscore/filetypes/ust.py | import panscore
def load(filename:str)->panscore.Score:
#打开文件，返回panscore.Score对象
#由于编码不确定，先用二进制打开文件
with open(filename,'rb') as f:
file=f.read()
#读取编码
if(b"Charset=UTF-8" in file):
encoding="utf-8"
else:
encoding="shift-JIS"
#分块
blocks=[]
block=... | 0.030072 | 0.111 |
from cargo.expressions import *
__all__ = ('NetworkingLogic',)
class NetworkingLogic(BaseLogic):
__slots__ = tuple()
'''
< is less than inet '192.168.1.5' < inet '192.168.1.6'
<= is less than or equal inet '192.168.1.5' <= inet '192.168.1.5'
= equals inet '192.168.1.5' = inet '192.168.1.5'
>... | cargo/logic/networking.py | from cargo.expressions import *
__all__ = ('NetworkingLogic',)
class NetworkingLogic(BaseLogic):
__slots__ = tuple()
'''
< is less than inet '192.168.1.5' < inet '192.168.1.6'
<= is less than or equal inet '192.168.1.5' <= inet '192.168.1.5'
= equals inet '192.168.1.5' = inet '192.168.1.5'
>... | 0.361616 | 0.095602 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import threading
from tensorflow.python.framework import errors
from tensorflow.python.platform import tf_logging as logging
from tensorflow.python.training import queue_runner as qr
class FeedingQueueRunner... | tensorflow/contrib/learn/python/learn/dataframe/queues/feeding_queue_runner.py | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import threading
from tensorflow.python.framework import errors
from tensorflow.python.platform import tf_logging as logging
from tensorflow.python.training import queue_runner as qr
class FeedingQueueRunner... | 0.850949 | 0.218107 |
import json
from io import StringIO
TP_NONE = 0
TP_VERTEX = 1
TP_EDGE = 2
TP_PATH = 3
class Graph():
def __init__(self, stmt=None) -> None:
self.statement = stmt
self.rows = list()
self.vertices = dict()
def __iter__(self):
return self.rows.__iter__()
... | drivers/python/age/models.py | import json
from io import StringIO
TP_NONE = 0
TP_VERTEX = 1
TP_EDGE = 2
TP_PATH = 3
class Graph():
def __init__(self, stmt=None) -> None:
self.statement = stmt
self.rows = list()
self.vertices = dict()
def __iter__(self):
return self.rows.__iter__()
... | 0.391522 | 0.08882 |
import datetime
import typing
from typing_extensions import TypeGuard
from .. import spec
from .. import exceptions
from . import timelength_units
def detect_timelength_representation(
timelength: spec.Timelength,
) -> spec.TimelengthRepresentation:
"""return str name of Timelength representation"""
if ... | tooltime/timelength_utils/timelength_identify.py | import datetime
import typing
from typing_extensions import TypeGuard
from .. import spec
from .. import exceptions
from . import timelength_units
def detect_timelength_representation(
timelength: spec.Timelength,
) -> spec.TimelengthRepresentation:
"""return str name of Timelength representation"""
if ... | 0.625667 | 0.373476 |
import logging
from zigpy.profiles import zha
from zigpy.zcl.clusters.general import Basic, Identify, LevelControl, OnOff
from zigpy.zcl.clusters.lighting import Color
from zigpy.zdo.types import NodeDescriptor
from .. import LUMI, BasicCluster, PowerConfigurationCluster, XiaomiCustomDevice
from ...const import (
... | zhaquirks/xiaomi/aqara/opple_remote.py | import logging
from zigpy.profiles import zha
from zigpy.zcl.clusters.general import Basic, Identify, LevelControl, OnOff
from zigpy.zcl.clusters.lighting import Color
from zigpy.zdo.types import NodeDescriptor
from .. import LUMI, BasicCluster, PowerConfigurationCluster, XiaomiCustomDevice
from ...const import (
... | 0.502441 | 0.153581 |
from asyncio.futures import Future
import ctypes
from dataclasses import dataclass
from typing import Type, Union, List, Any
from ctypes import CFUNCTYPE, c_char_p, c_size_t, c_void_p, c_uint32, c_uint16, py_object
from .ClusterObjects import ClusterAttributeDescriptor
import chip.exceptions
import chip.interaction_... | src/controller/python/chip/clusters/Attribute.py |
from asyncio.futures import Future
import ctypes
from dataclasses import dataclass
from typing import Type, Union, List, Any
from ctypes import CFUNCTYPE, c_char_p, c_size_t, c_void_p, c_uint32, c_uint16, py_object
from .ClusterObjects import ClusterAttributeDescriptor
import chip.exceptions
import chip.interaction_... | 0.508056 | 0.089375 |
from numpy import array, zeros
from typing import Iterable
from random import randint
# Les Types
TabEntiers = Iterable[int]
Texte = (str, 15)
TabTexte = Iterable[str]
class Calcul:
etapes: TabTexte = None
valeur: int = 0
# Les Constantes
SIGNES: TabTexte = array(["+", "*", "-", "//"])
def copier_tab(src... | S2/TP3/ex_01.py | from numpy import array, zeros
from typing import Iterable
from random import randint
# Les Types
TabEntiers = Iterable[int]
Texte = (str, 15)
TabTexte = Iterable[str]
class Calcul:
etapes: TabTexte = None
valeur: int = 0
# Les Constantes
SIGNES: TabTexte = array(["+", "*", "-", "//"])
def copier_tab(src... | 0.327346 | 0.532851 |
import collections
import os
import random
import xml.etree.ElementTree as ET
import numpy as np
from dm_control import mujoco
from dm_control.rl import control
from dm_control.suite import base, common
from dm_control.suite.utils import randomizers
from dm_control.utils import containers
from six.moves import range
... | dmc_remastered/finger.py | import collections
import os
import random
import xml.etree.ElementTree as ET
import numpy as np
from dm_control import mujoco
from dm_control.rl import control
from dm_control.suite import base, common
from dm_control.suite.utils import randomizers
from dm_control.utils import containers
from six.moves import range
... | 0.693058 | 0.253561 |