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 discord, requests, json
from discord.ext import commands
from fake_useragent import UserAgent
bot = commands.Bot(
command_prefix="-",
help_command=None,
case_insensitive=True,
intents=discord.Intents.all(),
)
TOKEN = ""
@bot.event
async def on_ready():
print("Bot is ready")
await bot.... | main.py | import discord, requests, json
from discord.ext import commands
from fake_useragent import UserAgent
bot = commands.Bot(
command_prefix="-",
help_command=None,
case_insensitive=True,
intents=discord.Intents.all(),
)
TOKEN = ""
@bot.event
async def on_ready():
print("Bot is ready")
await bot.... | 0.121334 | 0.116286 |
from __future__ import absolute_import, unicode_literals
from mock import MagicMock, patch, PropertyMock
from unittest import TestCase
from gs.group.groups.list.membergroups import (
MemberGroups, PublicGroups, RestrictedGroups, PrivateGroups, SecretGroups, )
class TestMemberGroups(TestCase):
def test_lower_n... | gs/group/groups/list/tests/membergroups.py | from __future__ import absolute_import, unicode_literals
from mock import MagicMock, patch, PropertyMock
from unittest import TestCase
from gs.group.groups.list.membergroups import (
MemberGroups, PublicGroups, RestrictedGroups, PrivateGroups, SecretGroups, )
class TestMemberGroups(TestCase):
def test_lower_n... | 0.75401 | 0.14814 |
from homeassistant.components.cover import (
ATTR_POSITION,
SUPPORT_CLOSE,
SUPPORT_CLOSE_TILT,
SUPPORT_OPEN,
SUPPORT_OPEN_TILT,
SUPPORT_SET_POSITION,
SUPPORT_SET_TILT_POSITION,
SUPPORT_STOP,
SUPPORT_STOP_TILT,
CoverEntity,
)
from homeassistant.core import callback
from homeassist... | homeassistant/components/acmeda/cover.py | from homeassistant.components.cover import (
ATTR_POSITION,
SUPPORT_CLOSE,
SUPPORT_CLOSE_TILT,
SUPPORT_OPEN,
SUPPORT_OPEN_TILT,
SUPPORT_SET_POSITION,
SUPPORT_SET_TILT_POSITION,
SUPPORT_STOP,
SUPPORT_STOP_TILT,
CoverEntity,
)
from homeassistant.core import callback
from homeassist... | 0.798776 | 0.165863 |
from __future__ import annotations
from dataclasses import dataclass
from typing import Dict, Optional, Tuple, Union
import logging
from fontTools.designspaceLib import (
AxisDescriptor,
AxisLabelDescriptor,
DesignSpaceDocument,
DesignSpaceDocumentError,
DiscreteAxisDescriptor,
SimpleLocationD... | Lib/site-packages/fontTools/designspaceLib/statNames.py | from __future__ import annotations
from dataclasses import dataclass
from typing import Dict, Optional, Tuple, Union
import logging
from fontTools.designspaceLib import (
AxisDescriptor,
AxisLabelDescriptor,
DesignSpaceDocument,
DesignSpaceDocumentError,
DiscreteAxisDescriptor,
SimpleLocationD... | 0.738198 | 0.181916 |
import numpy as np
from data import indicator_basis, ou_process
from utils import allclose_sign, allclose_trajs, allclose_trajs_sign
import pytest
import ref_corr
import ivac
def make_data(ns, dt, nbins):
"""Generate featurized data for testing."""
return [indicator_basis(ou_process(n, dt), nbins) for n in n... | tests/test_linear.py | import numpy as np
from data import indicator_basis, ou_process
from utils import allclose_sign, allclose_trajs, allclose_trajs_sign
import pytest
import ref_corr
import ivac
def make_data(ns, dt, nbins):
"""Generate featurized data for testing."""
return [indicator_basis(ou_process(n, dt), nbins) for n in n... | 0.797754 | 0.823683 |
import numpy as np
import scipy.optimize
from optwrapper import base, utils, lp
class Soln( base.Soln ):
def __init__( self ):
super().__init__()
self.retval = -1
self.message = "Uninitialized Solution"
def getStatus( self ):
return self.message
class Solver( base.Solver )... | optwrapper/scipy_linprog.py | import numpy as np
import scipy.optimize
from optwrapper import base, utils, lp
class Soln( base.Soln ):
def __init__( self ):
super().__init__()
self.retval = -1
self.message = "Uninitialized Solution"
def getStatus( self ):
return self.message
class Solver( base.Solver )... | 0.306216 | 0.144783 |
# pylint: disable=too-many-lines,too-many-locals,too-many-public-methods,too-few-public-methods
from typing import Any, Dict, List, Optional
from ...models import Compliance
from ..base import ApiBaseClass
class ComplianceApi(ApiBaseClass):
"""Endpoints for creating, getting and downloading compliance reports."... | matterapi/endpoints/async_api/compliance.py | # pylint: disable=too-many-lines,too-many-locals,too-many-public-methods,too-few-public-methods
from typing import Any, Dict, List, Optional
from ...models import Compliance
from ..base import ApiBaseClass
class ComplianceApi(ApiBaseClass):
"""Endpoints for creating, getting and downloading compliance reports."... | 0.840783 | 0.17037 |
# part 4
import logging
import os
import warnings
# Suppress warnings
warnings.simplefilter('ignore')
import matplotlib.pyplot as plt
import pandas as pd
import seaborn as sns
from guiltytargets.pipeline import rank_targets, write_gat2vec_input_files
from guiltytargets.ppi_network_annotation import generate_ppi_net... | src/scripts/compare_gat2vec_hyperparams_adjust.py | # part 4
import logging
import os
import warnings
# Suppress warnings
warnings.simplefilter('ignore')
import matplotlib.pyplot as plt
import pandas as pd
import seaborn as sns
from guiltytargets.pipeline import rank_targets, write_gat2vec_input_files
from guiltytargets.ppi_network_annotation import generate_ppi_net... | 0.386763 | 0.237267 |
import rospy
from ar_track_alvar.msg import AlvarMarkers
from geometry_msgs.msg import Twist
from math import copysign
class ARFollower():
def __init__(self):
rospy.init_node("ar_follower")
# Set the shutdown function (stop the robot)
rospy.on_shutdown(self.shutdown... | src/rbx2/rbx2_ar_tags/nodes/ar_follower.py | import rospy
from ar_track_alvar.msg import AlvarMarkers
from geometry_msgs.msg import Twist
from math import copysign
class ARFollower():
def __init__(self):
rospy.init_node("ar_follower")
# Set the shutdown function (stop the robot)
rospy.on_shutdown(self.shutdown... | 0.674158 | 0.373447 |
begin_unit
comment|'# Copyright 2013 Rackspace Hosting'
nl|'\n'
comment|'# All Rights Reserved.'
nl|'\n'
comment|'#'
nl|'\n'
comment|'# Licensed under the Apache License, Version 2.0 (the "License"); you may'
nl|'\n'
comment|'# not use this file except in compliance with the License. You may obtain'
nl|'\n'
comme... | nova/api/openstack/compute/instance_actions.py | begin_unit
comment|'# Copyright 2013 Rackspace Hosting'
nl|'\n'
comment|'# All Rights Reserved.'
nl|'\n'
comment|'#'
nl|'\n'
comment|'# Licensed under the Apache License, Version 2.0 (the "License"); you may'
nl|'\n'
comment|'# not use this file except in compliance with the License. You may obtain'
nl|'\n'
comme... | 0.55254 | 0.05498 |
from __future__ import division, absolute_import, print_function
import re
import sys
import os
import subprocess
__doc__ = """This module generates a DEF file from the symbols in
an MSVC-compiled DLL import library. It correctly discriminates between
data and functions. The data is collected from the output of the... | env/lib/python3.6/site-packages/numpy/distutils/lib2def.py | from __future__ import division, absolute_import, print_function
import re
import sys
import os
import subprocess
__doc__ = """This module generates a DEF file from the symbols in
an MSVC-compiled DLL import library. It correctly discriminates between
data and functions. The data is collected from the output of the... | 0.287268 | 0.246159 |
#: Definitions for parts of module schema
definitions = {
'array_of_strings': {
'type': 'array',
'default': [],
'items': {
'type': 'string'
}
},
'dictionary_of_strings': {
'type': 'object',
'patternProperties': {
r'\w[\w-]*': { # key
... | lib/spack/spack/schema/modules.py | #: Definitions for parts of module schema
definitions = {
'array_of_strings': {
'type': 'array',
'default': [],
'items': {
'type': 'string'
}
},
'dictionary_of_strings': {
'type': 'object',
'patternProperties': {
r'\w[\w-]*': { # key
... | 0.531209 | 0.257613 |
import errno
import functools
import logging
import os
import pkg_resources
import sys
import threading
import time
import werkzeug.local
from future.moves.urllib.parse import urlparse
import future.utils
# look up table for errno's
# FIXME: maybe add more codes?
ERROR_CODES = errno.errorcode.copy()
ERROR_CODES[-1]... | talisker/util.py |
import errno
import functools
import logging
import os
import pkg_resources
import sys
import threading
import time
import werkzeug.local
from future.moves.urllib.parse import urlparse
import future.utils
# look up table for errno's
# FIXME: maybe add more codes?
ERROR_CODES = errno.errorcode.copy()
ERROR_CODES[-1]... | 0.366476 | 0.085901 |
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from .. import _utilities
from . import outputs
from ._inputs import *
__all__ = ['RouterArgs', 'Router']
@pulumi.input_type
class RouterArgs:
def __init__(__self__, *,
networ... | sdk/python/pulumi_gcp/compute/router.py |
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from .. import _utilities
from . import outputs
from ._inputs import *
__all__ = ['RouterArgs', 'Router']
@pulumi.input_type
class RouterArgs:
def __init__(__self__, *,
networ... | 0.909394 | 0.126785 |
import sys
import math
import torch.nn as nn
from .baseRNN import BaseRNN
class EncoderRNN(BaseRNN):
r"""
Applies a multi-layer RNN to an input sequence.
Args:
vocab_size (int): size of the vocabulary
max_len (int): a maximum allowed length for the sequence to be processed
hidden_... | models/EncoderRNN.py | import sys
import math
import torch.nn as nn
from .baseRNN import BaseRNN
class EncoderRNN(BaseRNN):
r"""
Applies a multi-layer RNN to an input sequence.
Args:
vocab_size (int): size of the vocabulary
max_len (int): a maximum allowed length for the sequence to be processed
hidden_... | 0.873781 | 0.660255 |
import argparse
import json
import os
from distutils.util import strtobool
from os.path import join, dirname
import sys
from watercooler_utils import arm_ops
from watercooler_utils import az
from watercooler_utils import blob_ops
from watercooler_utils import adf_ops
from watercooler_utils import common
from config i... | solutions/watercooler/deployment/azure/scripts/post-deployment.py |
import argparse
import json
import os
from distutils.util import strtobool
from os.path import join, dirname
import sys
from watercooler_utils import arm_ops
from watercooler_utils import az
from watercooler_utils import blob_ops
from watercooler_utils import adf_ops
from watercooler_utils import common
from config i... | 0.295027 | 0.056314 |
from odoo import api, fields, models, tools, SUPERUSER_ID
from odoo.addons.base.models.res_partner import _tz_get
class LeaveReportCalendar(models.Model):
_name = "hr.leave.report.calendar"
_description = 'Time Off Calendar'
_auto = False
_order = "start_datetime DESC, employee_id"
name = field... | addons/hr_holidays/report/hr_leave_report_calendar.py |
from odoo import api, fields, models, tools, SUPERUSER_ID
from odoo.addons.base.models.res_partner import _tz_get
class LeaveReportCalendar(models.Model):
_name = "hr.leave.report.calendar"
_description = 'Time Off Calendar'
_auto = False
_order = "start_datetime DESC, employee_id"
name = field... | 0.524882 | 0.152064 |
import shapefile
class Kedua:
def __init__(self):
self.kedua = shapefile.Writer('kedua', shapeType = shapefile.POLYGON)
self.kedua.shapeType
self.kedua.field('nama_ruangan', 'C')
#<NAME> - 1174035
def tanggaBawahKiri(self, label):
self.kedua.record(label)
self.kedu... | kedua.py | import shapefile
class Kedua:
def __init__(self):
self.kedua = shapefile.Writer('kedua', shapeType = shapefile.POLYGON)
self.kedua.shapeType
self.kedua.field('nama_ruangan', 'C')
#<NAME> - 1174035
def tanggaBawahKiri(self, label):
self.kedua.record(label)
self.kedu... | 0.300643 | 0.443179 |
# Imports
import discord
from discord.ext import commands
import datetime
import re
import json
import asyncio
import logging
class PollCommand(commands.Cog):
def __init__(self, bot):
self.bot = bot
self.count_dict = {}
self.total_count = {}
self.poll_check_dict = {}
self... | bot/exts/utils/poll.py |
# Imports
import discord
from discord.ext import commands
import datetime
import re
import json
import asyncio
import logging
class PollCommand(commands.Cog):
def __init__(self, bot):
self.bot = bot
self.count_dict = {}
self.total_count = {}
self.poll_check_dict = {}
self... | 0.312895 | 0.099908 |
__all__ = [
"token_names",
"Token",
"LexerError",
"Lexer",
]
from enum import Enum as _Enum
from typing import Iterator as _Iterator
from typing import Sequence as _Sequence
try:
from lex import token_names as _token_names
except ImportError:
from src.lex import token_names as _token_names
c... | src/lex/__init__.py | __all__ = [
"token_names",
"Token",
"LexerError",
"Lexer",
]
from enum import Enum as _Enum
from typing import Iterator as _Iterator
from typing import Sequence as _Sequence
try:
from lex import token_names as _token_names
except ImportError:
from src.lex import token_names as _token_names
c... | 0.940072 | 0.300117 |
# --------------------------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# -------------------------------------------------------------------... | azure-devops/azext_devops/devops_sdk/v5_1/feed/models.py | # --------------------------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# -------------------------------------------------------------------... | 0.907145 | 0.265693 |
import numpy as np
from scipy import stats
from .distparams import distcont
# this is not a proper statistical test for convergence, but only
# verifies that the estimate and true values do not differ by too much
n_repl1 = 1000 # sample size for first run
n_repl2 = 5000 # sample size for second run, if first run f... | venv/Lib/site-packages/statsmodels/sandbox/distributions/tests/_est_fit.py |
import numpy as np
from scipy import stats
from .distparams import distcont
# this is not a proper statistical test for convergence, but only
# verifies that the estimate and true values do not differ by too much
n_repl1 = 1000 # sample size for first run
n_repl2 = 5000 # sample size for second run, if first run f... | 0.514156 | 0.41567 |
"""Python command line interface for running TOCO."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import argparse
import os
import sys
from tensorflow.contrib.lite.python import lite
from tensorflow.contrib.lite.python import lite_constants
from tensor... | tensorflow/contrib/lite/python/tflite_convert.py | """Python command line interface for running TOCO."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import argparse
import os
import sys
from tensorflow.contrib.lite.python import lite
from tensorflow.contrib.lite.python import lite_constants
from tensor... | 0.796846 | 0.264323 |
"""Common modeling utilities."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from typing import Optional, Text
import numpy as np
import tensorflow as tf
import tensorflow.compat.v1 as tf1
from tensorflow.python.tpu import tpu_function
@tf.keras.utils.... | official/legacy/image_classification/efficientnet/common_modules.py |
"""Common modeling utilities."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from typing import Optional, Text
import numpy as np
import tensorflow as tf
import tensorflow.compat.v1 as tf1
from tensorflow.python.tpu import tpu_function
@tf.keras.utils.... | 0.965479 | 0.310812 |
from abc import ABC, abstractmethod
from textwrap import dedent
from pants.build_graph.address_lookup_error import AddressLookupError
from pants.testutil.test_base import TestBase
from pants.contrib.go.register import build_file_aliases
class GoLocalSourceTestBase(ABC):
# NB: We assume we're mixed into a TestB... | contrib/go/tests/python/pants_test/contrib/go/targets/go_local_source_test_base.py |
from abc import ABC, abstractmethod
from textwrap import dedent
from pants.build_graph.address_lookup_error import AddressLookupError
from pants.testutil.test_base import TestBase
from pants.contrib.go.register import build_file_aliases
class GoLocalSourceTestBase(ABC):
# NB: We assume we're mixed into a TestB... | 0.862598 | 0.251699 |
import gc
import pytest
from types import TracebackType # NOQA
from typing import Any # NOQA
from typing import Dict # NOQA
from typing import Optional # NOQA
from typing import Type # NOQA
from optuna import create_study
from optuna.integration import ChainerMNStudy
from optuna.storages import BaseStorage # NOQ... | tests/integration_tests/test_chainermn.py | import gc
import pytest
from types import TracebackType # NOQA
from typing import Any # NOQA
from typing import Dict # NOQA
from typing import Optional # NOQA
from typing import Type # NOQA
from optuna import create_study
from optuna.integration import ChainerMNStudy
from optuna.storages import BaseStorage # NOQ... | 0.690976 | 0.348507 |
import asyncio
import logging
import typing
import aiohttp
from discord.ext.ipc.errors import *
log = logging.getLogger(__name__)
class Client:
"""
Handles webserver side requests to the bot process.
Parameters
----------
host: str
The IP or host of the IPC server, defaults to localhost... | discord/ext/ipc/client.py | import asyncio
import logging
import typing
import aiohttp
from discord.ext.ipc.errors import *
log = logging.getLogger(__name__)
class Client:
"""
Handles webserver side requests to the bot process.
Parameters
----------
host: str
The IP or host of the IPC server, defaults to localhost... | 0.704567 | 0.138345 |
"""Private utilities for locally-connected layers."""
import numpy as np
import tensorflow.compat.v2 as tf
from keras import backend
from keras.utils import conv_utils
def get_locallyconnected_mask(
input_shape, kernel_shape, strides, padding, data_format
):
"""Return a mask representing connectivity of a l... | keras/layers/locally_connected/locally_connected_utils.py | """Private utilities for locally-connected layers."""
import numpy as np
import tensorflow.compat.v2 as tf
from keras import backend
from keras.utils import conv_utils
def get_locallyconnected_mask(
input_shape, kernel_shape, strides, padding, data_format
):
"""Return a mask representing connectivity of a l... | 0.977756 | 0.748972 |
import os
import sys
# 3rd party
from gi.repository import Gio, Gtk
from matplotlib.backends.backend_gtk3cairo import FigureCanvasGTK3Cairo as\
FigureCanvas
from matplotlib.figure import Figure
import pandas as pd
import pylab as pl
import quantpy as qp
DATA_DIR = os.path.join(os.path.dirname(__file__), 'data')
... | quantpy/gui/app.py | import os
import sys
# 3rd party
from gi.repository import Gio, Gtk
from matplotlib.backends.backend_gtk3cairo import FigureCanvasGTK3Cairo as\
FigureCanvas
from matplotlib.figure import Figure
import pandas as pd
import pylab as pl
import quantpy as qp
DATA_DIR = os.path.join(os.path.dirname(__file__), 'data')
... | 0.197677 | 0.100216 |
OUT_IN = '''
,
"parametersChanges" : [
{ "ifAnyIsTrue": [ "rand >= .5" ],
"doThesechanges": { "Perturbation::parameters": { "rotationScalingFactor": 0.1 } },
"otherwise": { "Perturbation::parameters": { "rotationScalingFactor": 0.25 }... | pele_platform/constants/pele_params.py | OUT_IN = '''
,
"parametersChanges" : [
{ "ifAnyIsTrue": [ "rand >= .5" ],
"doThesechanges": { "Perturbation::parameters": { "rotationScalingFactor": 0.1 } },
"otherwise": { "Perturbation::parameters": { "rotationScalingFactor": 0.25 }... | 0.389082 | 0.517205 |
import json
from .data_utils.data_loader import image_segmentation_generator, \
verify_segmentation_dataset
import glob
import six
from keras.callbacks import Callback
def find_latest_checkpoint(checkpoints_path, fail_safe=True):
def get_epoch_number_from_path(path):
return path.replace(checkpoints_p... | segmentation/keras_segmentation/train.py | import json
from .data_utils.data_loader import image_segmentation_generator, \
verify_segmentation_dataset
import glob
import six
from keras.callbacks import Callback
def find_latest_checkpoint(checkpoints_path, fail_safe=True):
def get_epoch_number_from_path(path):
return path.replace(checkpoints_p... | 0.709824 | 0.260166 |
from __future__ import (absolute_import, division, print_function,
unicode_literals)
import six
import numpy as np
from pandas import DataFrame, Series
from pandas.util.testing import (assert_series_equal, assert_frame_equal,
assert_almost_equal)
import trackpy... | trackpy/tests/test_motion.py | from __future__ import (absolute_import, division, print_function,
unicode_literals)
import six
import numpy as np
from pandas import DataFrame, Series
from pandas.util.testing import (assert_series_equal, assert_frame_equal,
assert_almost_equal)
import trackpy... | 0.814901 | 0.671686 |
"""Test ``migrate`` command."""
import os
from pathlib import Path
import pytest
from renku import LocalClient
from renku.cli import cli
from renku.core.management.config import RENKU_HOME
from renku.core.management.migrate import SUPPORTED_PROJECT_VERSION, get_migrations
@pytest.mark.migration
def test_migrate_dat... | tests/cli/test_migrate.py | """Test ``migrate`` command."""
import os
from pathlib import Path
import pytest
from renku import LocalClient
from renku.cli import cli
from renku.core.management.config import RENKU_HOME
from renku.core.management.migrate import SUPPORTED_PROJECT_VERSION, get_migrations
@pytest.mark.migration
def test_migrate_dat... | 0.653348 | 0.572902 |
"""Tests for multi_worker_util."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.core.protobuf import cluster_pb2
from tensorflow.python.distribute import multi_worker_util
from tensorflow.python.eager import test
from tensorflow.python.tr... | tensorflow/python/distribute/multi_worker_util_test.py | """Tests for multi_worker_util."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.core.protobuf import cluster_pb2
from tensorflow.python.distribute import multi_worker_util
from tensorflow.python.eager import test
from tensorflow.python.tr... | 0.875088 | 0.549459 |
import gym
from gym import spaces
from gym.utils import seeding
def cmp(a, b):
return int((a > b)) - int((a < b))
# 1 = Ace, 2-10 = Number cards, Jack/Queen/King = 10
deck = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 10, 10, 10]
def draw_card(np_random):
return np_random.choice(deck)
def draw_hand(np_random):
re... | rl/envs/blackjack.py | import gym
from gym import spaces
from gym.utils import seeding
def cmp(a, b):
return int((a > b)) - int((a < b))
# 1 = Ace, 2-10 = Number cards, Jack/Queen/King = 10
deck = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 10, 10, 10]
def draw_card(np_random):
return np_random.choice(deck)
def draw_hand(np_random):
re... | 0.337968 | 0.454291 |
# Import Python Libs
from __future__ import absolute_import, print_function, unicode_literals
import logging
import re
import salt.utils.path
# Import Salt Libs
from salt.exceptions import CommandExecutionError
log = logging.getLogger(__name__)
def __virtual__():
"""
Check to see if firewall-cmd exists
... | salt/modules/firewalld.py | # Import Python Libs
from __future__ import absolute_import, print_function, unicode_literals
import logging
import re
import salt.utils.path
# Import Salt Libs
from salt.exceptions import CommandExecutionError
log = logging.getLogger(__name__)
def __virtual__():
"""
Check to see if firewall-cmd exists
... | 0.638497 | 0.156717 |
'文件接收方'
import socket
import threading
import header
import os
from printworker import PrintWorker
def transfer_file(sock, path):
'接收文件'
# 文件大小
file_size = None
# 已接收文件大小
recv_size = 0
# 待保存文件的路径
save_file_path = None
# 接收的文件
fp = None
# 打印类型
print_type = None
... | receiver.py |
'文件接收方'
import socket
import threading
import header
import os
from printworker import PrintWorker
def transfer_file(sock, path):
'接收文件'
# 文件大小
file_size = None
# 已接收文件大小
recv_size = 0
# 待保存文件的路径
save_file_path = None
# 接收的文件
fp = None
# 打印类型
print_type = None
... | 0.094544 | 0.082771 |
from typing import Callable, TYPE_CHECKING
from enum import Enum
if TYPE_CHECKING:
from unit import Unit
class Strategy(Enum):
HOLD = 1
ADVANCE = 2
CHARGE = 3
HCHARGE = 4
DISTANCE = 5
def get_strategy_function(strategy: Strategy) -> Callable[["Unit", float, float], None]:
options = {
... | src/stratgey.py | from typing import Callable, TYPE_CHECKING
from enum import Enum
if TYPE_CHECKING:
from unit import Unit
class Strategy(Enum):
HOLD = 1
ADVANCE = 2
CHARGE = 3
HCHARGE = 4
DISTANCE = 5
def get_strategy_function(strategy: Strategy) -> Callable[["Unit", float, float], None]:
options = {
... | 0.819424 | 0.52683 |
import logging
import pytest
from subprocess import TimeoutExpired
from ocs_ci.ocs.exceptions import CephHealthException, ResourceWrongStatusException
from ocs_ci.utility.utils import ceph_health_check_base
from ocs_ci.ocs import constants, machine, ocp, defaults
from ocs_ci.ocs.node import (
drain_nodes,
sc... | tests/manage/z_cluster/nodes/test_nodes_maintenance.py | import logging
import pytest
from subprocess import TimeoutExpired
from ocs_ci.ocs.exceptions import CephHealthException, ResourceWrongStatusException
from ocs_ci.utility.utils import ceph_health_check_base
from ocs_ci.ocs import constants, machine, ocp, defaults
from ocs_ci.ocs.node import (
drain_nodes,
sc... | 0.474388 | 0.329972 |
from absl.testing import parameterized
import numpy as np
import tensorflow as tf
import tensorflow_datasets as tfds
import uncertainty_baselines as ub
from uncertainty_baselines.datasets import dialog_state_tracking
max_dial_len = dialog_state_tracking.MAX_DIALOG_LEN
max_utt_len = dialog_state_tracking.MAX_UTT_LEN
... | uncertainty_baselines/datasets/dialog_state_tracking_test.py | from absl.testing import parameterized
import numpy as np
import tensorflow as tf
import tensorflow_datasets as tfds
import uncertainty_baselines as ub
from uncertainty_baselines.datasets import dialog_state_tracking
max_dial_len = dialog_state_tracking.MAX_DIALOG_LEN
max_utt_len = dialog_state_tracking.MAX_UTT_LEN
... | 0.757346 | 0.64579 |
from __future__ import print_function
import os
import sys
import tempfile
from chromite.lib import cros_test_lib
from chromite.lib import table
from chromite.scripts import merge_package_status as mps
assert sys.version_info >= (3, 6), 'This module requires Python 3.6+'
# pylint: disable=protected-access
class... | scripts/merge_package_status_unittest.py | from __future__ import print_function
import os
import sys
import tempfile
from chromite.lib import cros_test_lib
from chromite.lib import table
from chromite.scripts import merge_package_status as mps
assert sys.version_info >= (3, 6), 'This module requires Python 3.6+'
# pylint: disable=protected-access
class... | 0.496094 | 0.169475 |
import optparse
from typing import List, Tuple, Dict
import stun
import struct
import socket
FullCone: str = "Full Cone" # 0
RestrictNAT: str = "Restrict NAT" # 1
RestrictPortNAT: str = "Restrict Port NAT" # 2
SymmetricNAT: str = "Symmetric NAT" # 3
UnknownNAT: str = "Unknown NAT" # 4
NATTYPE = (FullCone, Restri... | psy/network.py | import optparse
from typing import List, Tuple, Dict
import stun
import struct
import socket
FullCone: str = "Full Cone" # 0
RestrictNAT: str = "Restrict NAT" # 1
RestrictPortNAT: str = "Restrict Port NAT" # 2
SymmetricNAT: str = "Symmetric NAT" # 3
UnknownNAT: str = "Unknown NAT" # 4
NATTYPE = (FullCone, Restri... | 0.445047 | 0.109016 |
from typing import Any, Tuple
from lxml import objectify, etree
from sdRDM.tools.utils import snake_to_camel
class XMLWriter:
@classmethod
def to_xml(
cls,
root_name: str,
values: dict,
props: dict,
to_string: bool = True
) -> objectify.ObjectifiedElement:
... | easyDataverse/tools/xmltools.py | from typing import Any, Tuple
from lxml import objectify, etree
from sdRDM.tools.utils import snake_to_camel
class XMLWriter:
@classmethod
def to_xml(
cls,
root_name: str,
values: dict,
props: dict,
to_string: bool = True
) -> objectify.ObjectifiedElement:
... | 0.832985 | 0.3341 |
import unittest
from pythainlp.tag import perceptron, pos_tag, pos_tag_sents, unigram
from pythainlp.tag.locations import tag_provinces
from pythainlp.tag.named_entity import ThaiNameTagger
from pythainlp.tokenize import (
word_tokenize,
)
class TestTagPackage(unittest.TestCase):
def test_pos_tag(self):
... | tests/test_tag.py |
import unittest
from pythainlp.tag import perceptron, pos_tag, pos_tag_sents, unigram
from pythainlp.tag.locations import tag_provinces
from pythainlp.tag.named_entity import ThaiNameTagger
from pythainlp.tokenize import (
word_tokenize,
)
class TestTagPackage(unittest.TestCase):
def test_pos_tag(self):
... | 0.498291 | 0.610541 |
import typing
from construct import Construct
from retro_data_structures.formats.ancs import ANCS, Ancs
from retro_data_structures.formats.anim import ANIM, Anim
from retro_data_structures.base_resource import BaseResource, AssetType
from retro_data_structures.formats.char import CHAR, Char
from retro_data_structures... | retro_data_structures/formats/__init__.py | import typing
from construct import Construct
from retro_data_structures.formats.ancs import ANCS, Ancs
from retro_data_structures.formats.anim import ANIM, Anim
from retro_data_structures.base_resource import BaseResource, AssetType
from retro_data_structures.formats.char import CHAR, Char
from retro_data_structures... | 0.444324 | 0.231289 |
from datetime import timedelta as td
from django.conf import settings
from django.core.signing import base64_hmac
from django.utils.timezone import now
from hc.api.models import Check
from hc.test import BaseTestCase
class BadgeTestCase(BaseTestCase):
def setUp(self):
super(BadgeTestCase, self).setUp()... | hc/api/tests/test_badge.py | from datetime import timedelta as td
from django.conf import settings
from django.core.signing import base64_hmac
from django.utils.timezone import now
from hc.api.models import Check
from hc.test import BaseTestCase
class BadgeTestCase(BaseTestCase):
def setUp(self):
super(BadgeTestCase, self).setUp()... | 0.582135 | 0.259063 |
import flavio
from . import observables
from flavio.classes import Observable, Prediction
import cmath
def bsvll_obs(function, q2, wc_obj, par, B, V, lep):
ml = par['m_'+lep]
mB = par['m_'+B]
mV = par['m_'+V]
y = par['DeltaGamma/Gamma_'+B]/2.
if q2 < 4*ml**2 or q2 > (mB-mV)**2:
return 0
... | flavio/physics/bdecays/bvll/observables_bs.py | import flavio
from . import observables
from flavio.classes import Observable, Prediction
import cmath
def bsvll_obs(function, q2, wc_obj, par, B, V, lep):
ml = par['m_'+lep]
mB = par['m_'+B]
mV = par['m_'+V]
y = par['DeltaGamma/Gamma_'+B]/2.
if q2 < 4*ml**2 or q2 > (mB-mV)**2:
return 0
... | 0.525369 | 0.342517 |
import os
import socket
import sys
from subprocess import STDOUT, Popen, DEVNULL
from typing import Iterable, List
from prefect import config
from prefect.agent import Agent
from prefect.environments.storage import GCS, S3, Azure, Local
from prefect.serialization.storage import StorageSchema
from prefect.utilities.gra... | src/prefect/agent/local/agent.py | import os
import socket
import sys
from subprocess import STDOUT, Popen, DEVNULL
from typing import Iterable, List
from prefect import config
from prefect.agent import Agent
from prefect.environments.storage import GCS, S3, Azure, Local
from prefect.serialization.storage import StorageSchema
from prefect.utilities.gra... | 0.710025 | 0.550366 |
from sympy.assumptions import Q, ask
from sympy.core import Add, Basic, Expr, Float, Mul, Pow, S
from sympy.core.numbers import (ImaginaryUnit, Infinity, Integer, NaN,
NegativeInfinity, NumberSymbol, Rational)
from sympy.functions import Abs, im, re
from sympy.ntheory import isprime
from sympy.multipledispa... | sympy/assumptions/handlers/ntheory.py | from sympy.assumptions import Q, ask
from sympy.core import Add, Basic, Expr, Float, Mul, Pow, S
from sympy.core.numbers import (ImaginaryUnit, Infinity, Integer, NaN,
NegativeInfinity, NumberSymbol, Rational)
from sympy.functions import Abs, im, re
from sympy.ntheory import isprime
from sympy.multipledispa... | 0.470493 | 0.171408 |
import argparse
import logging
import os
import subprocess
from typing import Any, Dict
import jinja2
import yaml
CONFIGS_DIR = "/etc/magma/configs"
TEMPLATES_DIR = "/etc/magma/templates"
OUTPUT_DIR = "/etc/nghttpx"
OBSIDIAN_PORT = 9081
def _load_services() -> Dict[Any, Any]:
""" Return the services from the r... | orc8r/cloud/docker/proxy/run_nghttpx.py |
import argparse
import logging
import os
import subprocess
from typing import Any, Dict
import jinja2
import yaml
CONFIGS_DIR = "/etc/magma/configs"
TEMPLATES_DIR = "/etc/magma/templates"
OUTPUT_DIR = "/etc/nghttpx"
OBSIDIAN_PORT = 9081
def _load_services() -> Dict[Any, Any]:
""" Return the services from the r... | 0.470493 | 0.067547 |
import matplotlib.pyplot as plt
class LinePlot:
"""
A simple line plot with one or more variables
"""
def __init__(self, plot_data, plot_func='plot', **kwargs):
self.plot_data = plot_data
self.plot_func = plot_func
self.plot_args = kwargs
self._x_label = ""
... | spiceplot/plots/simple.py | import matplotlib.pyplot as plt
class LinePlot:
"""
A simple line plot with one or more variables
"""
def __init__(self, plot_data, plot_func='plot', **kwargs):
self.plot_data = plot_data
self.plot_func = plot_func
self.plot_args = kwargs
self._x_label = ""
... | 0.910977 | 0.662796 |
import asyncio
import logging
import voluptuous as vol
import homeassistant.helpers.config_validation as cv
from homeassistant.helpers import discovery
from homeassistant.helpers.entity import Entity
from homeassistant.components.discovery import SERVICE_XIAOMI_GW
from homeassistant.const import (ATTR_BATTERY_LEVEL, EV... | homeassistant/components/xiaomi_aqara.py | import asyncio
import logging
import voluptuous as vol
import homeassistant.helpers.config_validation as cv
from homeassistant.helpers import discovery
from homeassistant.helpers.entity import Entity
from homeassistant.components.discovery import SERVICE_XIAOMI_GW
from homeassistant.const import (ATTR_BATTERY_LEVEL, EV... | 0.498535 | 0.069352 |
from test.zoo.pipeline.utils.test_utils import ZooTestCase
import numpy as np
import pandas as pd
import os
from numpy.testing import assert_array_almost_equal
from zoo.orca.automl.xgboost.XGBoost import XGBoost
from zoo.chronos.feature.identity_transformer import IdentityTransformer
import pytest
class TestXgbreg... | pyzoo/test/zoo/orca/automl/xgboost/test_xgbregressor.py |
from test.zoo.pipeline.utils.test_utils import ZooTestCase
import numpy as np
import pandas as pd
import os
from numpy.testing import assert_array_almost_equal
from zoo.orca.automl.xgboost.XGBoost import XGBoost
from zoo.chronos.feature.identity_transformer import IdentityTransformer
import pytest
class TestXgbreg... | 0.591133 | 0.457743 |
import re
import requests
from bs4 import BeautifulSoup
from taemin import plugin
class TaeminNiceBot(plugin.TaeminPlugin):
def __init__(self, taemin):
plugin.TaeminPlugin.__init__(self, taemin)
self.mapping = [
(r"""((?:http[s]?://)?(?:www\.)?youtu(?:be\.com/watch\?v=|\.be/)([\w\-]+)(... | taemin/plugins/nicebot/plugin.py |
import re
import requests
from bs4 import BeautifulSoup
from taemin import plugin
class TaeminNiceBot(plugin.TaeminPlugin):
def __init__(self, taemin):
plugin.TaeminPlugin.__init__(self, taemin)
self.mapping = [
(r"""((?:http[s]?://)?(?:www\.)?youtu(?:be\.com/watch\?v=|\.be/)([\w\-]+)(... | 0.376623 | 0.119768 |
import logging
import warnings
import torch
import torch.nn as nn
from torch.nn import CrossEntropyLoss, MSELoss
from .configuration_roberta import RobertaConfig
from .file_utils import add_start_docstrings, add_start_docstrings_to_callable
from .modeling_bert import BertEmbeddings, BertLayerNorm, BertModel, BertPreT... | src/transformers/modeling_roberta.py | import logging
import warnings
import torch
import torch.nn as nn
from torch.nn import CrossEntropyLoss, MSELoss
from .configuration_roberta import RobertaConfig
from .file_utils import add_start_docstrings, add_start_docstrings_to_callable
from .modeling_bert import BertEmbeddings, BertLayerNorm, BertModel, BertPreT... | 0.929079 | 0.314932 |
import os
import cStringIO
from PIL import Image
from django.db.models import ImageField
from django.db.models.fields.files import ImageFieldFile
from django.conf import settings
from django.core.cache import cache
from django.core.files.base import ContentFile
from athumb.exceptions import UploadedImageIsUnreadableEr... | athumb/fields.py | import os
import cStringIO
from PIL import Image
from django.db.models import ImageField
from django.db.models.fields.files import ImageFieldFile
from django.conf import settings
from django.core.cache import cache
from django.core.files.base import ContentFile
from athumb.exceptions import UploadedImageIsUnreadableEr... | 0.471953 | 0.143758 |
from app.models import Donor, Donation, Item, ItemDevice
from django.contrib.auth.decorators import login_required
from django.http import HttpResponse, JsonResponse
from django.views.decorators.http import require_GET
import simplejson as json
@login_required(login_url='/login')
@require_GET
def autocomplete_name(re... | app/views/api_views.py | from app.models import Donor, Donation, Item, ItemDevice
from django.contrib.auth.decorators import login_required
from django.http import HttpResponse, JsonResponse
from django.views.decorators.http import require_GET
import simplejson as json
@login_required(login_url='/login')
@require_GET
def autocomplete_name(re... | 0.369088 | 0.113555 |
import torch
from torch.autograd import Variable
import numpy as np
from train import params
from util import utils
import torch.optim as optim
def train(training_mode, feature_extractor, class_classifier, domain_classifier, class_criterion, domain_criterion,
source_dataloader, target_dataloader, optimize... | train/train.py | import torch
from torch.autograd import Variable
import numpy as np
from train import params
from util import utils
import torch.optim as optim
def train(training_mode, feature_extractor, class_classifier, domain_classifier, class_criterion, domain_criterion,
source_dataloader, target_dataloader, optimize... | 0.68742 | 0.482917 |
import glob
import os
import sys
import warnings
import IECore
import Gaffer
import GafferTest
class test( Gaffer.Application ) :
def __init__( self ) :
Gaffer.Application.__init__(
self,
"""
Runs the unit tests for all of Gaffer's python
modules and libraries. These are run automatically
as part... | apps/test/test-1.py |
import glob
import os
import sys
import warnings
import IECore
import Gaffer
import GafferTest
class test( Gaffer.Application ) :
def __init__( self ) :
Gaffer.Application.__init__(
self,
"""
Runs the unit tests for all of Gaffer's python
modules and libraries. These are run automatically
as part... | 0.349089 | 0.740655 |
# This script takes the Debug log output from the golang build server, and
# will play it back to servers via sourcegraph.com's LSP HTTP layer
import json
import requests
api = 'http://127.0.0.1/.api/xlang/'
# Uncomment for production
#api = 'https://sourcegraph.com/.api/xlang/'
def main(lines):
for num, line i... | enterprise/cmd/xlang-go/internal/server/replay-traffic.py |
# This script takes the Debug log output from the golang build server, and
# will play it back to servers via sourcegraph.com's LSP HTTP layer
import json
import requests
api = 'http://127.0.0.1/.api/xlang/'
# Uncomment for production
#api = 'https://sourcegraph.com/.api/xlang/'
def main(lines):
for num, line i... | 0.280025 | 0.18159 |
from typing import List, Optional
import pytest
from gbq.dto import Structure
class DatasetListItem:
def __init__(self, dataset_id: str, project: str):
self.dataset_id = dataset_id
self.project = project
class SchemaField:
def __init__(
self, name: str, mode: str, field_type: str, ... | tests/fixtures.py | from typing import List, Optional
import pytest
from gbq.dto import Structure
class DatasetListItem:
def __init__(self, dataset_id: str, project: str):
self.dataset_id = dataset_id
self.project = project
class SchemaField:
def __init__(
self, name: str, mode: str, field_type: str, ... | 0.860691 | 0.368803 |
from torch.utils.data import Dataset
import os
from os.path import join
import torchvision.transforms as transforms
import random
from PIL import Image
from torchOnVideo.super_resolution.utils import *
class TrainISeeBetter(Dataset):
def __init__(self, image_dir, nFrames, upscale_factor, data_augmentation, file_l... | torchOnVideo/datasets/Vimeo90KSeptuplet/super_resolution/train_iseebetter.py | from torch.utils.data import Dataset
import os
from os.path import join
import torchvision.transforms as transforms
import random
from PIL import Image
from torchOnVideo.super_resolution.utils import *
class TrainISeeBetter(Dataset):
def __init__(self, image_dir, nFrames, upscale_factor, data_augmentation, file_l... | 0.779154 | 0.289755 |
import json
from data_source import DataSource
import features_utility
from manifest_features import CreateManifestFeatures, ConvertDottedKeysToNested
from third_party.json_schema_compiler.json_parse import Parse
def _ListifyAndSortDocs(features, app_name):
'''Convert a |feautres| dictionary, and all 'children' di... | chrome/common/extensions/docs/server2/manifest_data_source.py |
import json
from data_source import DataSource
import features_utility
from manifest_features import CreateManifestFeatures, ConvertDottedKeysToNested
from third_party.json_schema_compiler.json_parse import Parse
def _ListifyAndSortDocs(features, app_name):
'''Convert a |feautres| dictionary, and all 'children' di... | 0.64232 | 0.28173 |
import datetime
from google.cloud._helpers import _datetime_to_rfc3339
from google.cloud.client import JSONClient
from google.cloud.monitoring.connection import Connection
from google.cloud.monitoring.group import Group
from google.cloud.monitoring.metric import Metric
from google.cloud.monitoring.metric import Metric... | monitoring/google/cloud/monitoring/client.py | import datetime
from google.cloud._helpers import _datetime_to_rfc3339
from google.cloud.client import JSONClient
from google.cloud.monitoring.connection import Connection
from google.cloud.monitoring.group import Group
from google.cloud.monitoring.metric import Metric
from google.cloud.monitoring.metric import Metric... | 0.850158 | 0.221666 |
__author__ = "<NAME>"
__maintainer__ = "<NAME>"
__email__ = "<EMAIL>"
from Bio import SeqIO
from Bio.Seq import Seq
import sys
tsv = open(sys.argv[1], "r")
readlines = tsv.readlines()
tsv.close()
gtf = open(sys.argv[2], "r")
readgtf = gtf.readlines()
gtf.close()
genomefile = open(sys.argv[3], "rU")
genomeSeqIOdict... | bin/GTF-to-FASTA_EverythingButGTF.py | __author__ = "<NAME>"
__maintainer__ = "<NAME>"
__email__ = "<EMAIL>"
from Bio import SeqIO
from Bio.Seq import Seq
import sys
tsv = open(sys.argv[1], "r")
readlines = tsv.readlines()
tsv.close()
gtf = open(sys.argv[2], "r")
readgtf = gtf.readlines()
gtf.close()
genomefile = open(sys.argv[3], "rU")
genomeSeqIOdict... | 0.186762 | 0.186225 |
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.utils.model_zoo as model_zoo
class Inception3(nn.Module):
def __init__(self, num_classes=512, aux_logits=True, transform_input=False):
super(Inception3, self).__init__()
self.aux_logits = aux_logits
self.trans... | student_net_learning/models/inception3.py | import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.utils.model_zoo as model_zoo
class Inception3(nn.Module):
def __init__(self, num_classes=512, aux_logits=True, transform_input=False):
super(Inception3, self).__init__()
self.aux_logits = aux_logits
self.trans... | 0.930655 | 0.563078 |
from setuptools import setup, Extension
import os
import sys
import subprocess
hidapi_topdir = os.path.join("hidapi")
hidapi_include = os.path.join(hidapi_topdir, "hidapi")
system_hidapi = 0
libs = []
src = ["hid.pyx", "chid.pxd"]
def hidapi_src(platform):
return os.path.join(hidapi_topdir, platform, "hid.c")
... | cython-hidapi/setup.py | from setuptools import setup, Extension
import os
import sys
import subprocess
hidapi_topdir = os.path.join("hidapi")
hidapi_include = os.path.join(hidapi_topdir, "hidapi")
system_hidapi = 0
libs = []
src = ["hid.pyx", "chid.pxd"]
def hidapi_src(platform):
return os.path.join(hidapi_topdir, platform, "hid.c")
... | 0.181155 | 0.041715 |
import json
import os
import torch
import torch.nn.functional as F
from collections import OrderedDict
from .base_cam import BaseCAM
import numpy as np
# Load the dictionary of model configs
# that for each model has the name of
# the last layer before the GAP
filepath = os.path.join(os.path.dirname(__file__), 'model... | cams/grad_cam.py | import json
import os
import torch
import torch.nn.functional as F
from collections import OrderedDict
from .base_cam import BaseCAM
import numpy as np
# Load the dictionary of model configs
# that for each model has the name of
# the last layer before the GAP
filepath = os.path.join(os.path.dirname(__file__), 'model... | 0.824674 | 0.344085 |
import argparse
import logging
import os
import sys
from typing import Any, Dict, List, Mapping, MutableSequence, Optional, Union, cast
from urllib.parse import urlparse
import pkg_resources # part of setuptools
from rdflib import __version__ as rdflib_version
from rdflib.parser import Parser
from rdflib.plugin impo... | schema_salad/main.py |
import argparse
import logging
import os
import sys
from typing import Any, Dict, List, Mapping, MutableSequence, Optional, Union, cast
from urllib.parse import urlparse
import pkg_resources # part of setuptools
from rdflib import __version__ as rdflib_version
from rdflib.parser import Parser
from rdflib.plugin impo... | 0.568536 | 0.100746 |
import ctypes
from enum import Enum
import os
import re
from catkit.interfaces.LaserSource import LaserSource
import catkit.util
"""Interface for a laser source."""
# Load Thorlabs uart lib, e.g., uart_library_win64.dll.
try:
UART_lib = ctypes.cdll.LoadLibrary(os.environ.get('CATKIT_THORLABS_UART_LIB_PATH'))
exc... | catkit/hardware/thorlabs/ThorlabsMCLS1.py | import ctypes
from enum import Enum
import os
import re
from catkit.interfaces.LaserSource import LaserSource
import catkit.util
"""Interface for a laser source."""
# Load Thorlabs uart lib, e.g., uart_library_win64.dll.
try:
UART_lib = ctypes.cdll.LoadLibrary(os.environ.get('CATKIT_THORLABS_UART_LIB_PATH'))
exc... | 0.735357 | 0.076064 |
import mxnet as mx
import symbol_utils
def Act(data, act_type, name):
# ignore param act_type, set it in this function
body = mx.sym.LeakyReLU(data=data, act_type='prelu', name=name)
# act = mx.sym.Activation(data=bn, act_type='relu', name='%s%s_relu' %(name, suffix))
return body
def Conv(data, num... | train/symbols/fmobilenet.py |
import mxnet as mx
import symbol_utils
def Act(data, act_type, name):
# ignore param act_type, set it in this function
body = mx.sym.LeakyReLU(data=data, act_type='prelu', name=name)
# act = mx.sym.Activation(data=bn, act_type='relu', name='%s%s_relu' %(name, suffix))
return body
def Conv(data, num... | 0.675978 | 0.557725 |
import logging
from enum import Enum
from typing import Any, Dict, List, Optional, Union
from ... import Logger
from .base import BaseValidator
from .exceptions import SchemaValidationError
RULES_KEY = "rules"
FEATURE_DEFAULT_VAL_KEY = "default"
CONDITIONS_KEY = "conditions"
RULE_MATCH_VALUE = "when_match"
CONDITION_... | aws_lambda_powertools/utilities/feature_flags/schema.py | import logging
from enum import Enum
from typing import Any, Dict, List, Optional, Union
from ... import Logger
from .base import BaseValidator
from .exceptions import SchemaValidationError
RULES_KEY = "rules"
FEATURE_DEFAULT_VAL_KEY = "default"
CONDITIONS_KEY = "conditions"
RULE_MATCH_VALUE = "when_match"
CONDITION_... | 0.891478 | 0.420778 |
from __future__ import unicode_literals
import unittest
from django.utils import html
class TestUtilsHtml(unittest.TestCase):
def check_output(self, function, value, output=None):
"""
Check that function(value) equals output. If output is None,
check that function(value) equals value.
... | tests/regressiontests/utils/html.py | from __future__ import unicode_literals
import unittest
from django.utils import html
class TestUtilsHtml(unittest.TestCase):
def check_output(self, function, value, output=None):
"""
Check that function(value) equals output. If output is None,
check that function(value) equals value.
... | 0.51562 | 0.2627 |
import time
import json
import csv
OVERLAP_DIRECTORY = "../data/processed_data/overlap/"
OVERLAP_OUTFILE_DESTINATION = "../data/processed_data/overlap/cross_party_donor_overlap.csv"
TOTALS_OUTFILE_DESTINATION = "../data/processed_data/overlap/cross_party_donor_totals.csv"
def process_comparison(main_id, compare_id... | scripts/find_crossparty_overlap.py |
import time
import json
import csv
OVERLAP_DIRECTORY = "../data/processed_data/overlap/"
OVERLAP_OUTFILE_DESTINATION = "../data/processed_data/overlap/cross_party_donor_overlap.csv"
TOTALS_OUTFILE_DESTINATION = "../data/processed_data/overlap/cross_party_donor_totals.csv"
def process_comparison(main_id, compare_id... | 0.300848 | 0.230649 |
import json
import sys
import logging
import requests
import os
from urllib3.util.retry import Retry
from urllib import parse
from requests.adapters import HTTPAdapter
from gitlabform.configuration.core import ConfigurationCore, KeyNotFoundException
class GitLabCore:
url = None
token = None
ssl_verify = ... | gitlabform/gitlab/core.py | import json
import sys
import logging
import requests
import os
from urllib3.util.retry import Retry
from urllib import parse
from requests.adapters import HTTPAdapter
from gitlabform.configuration.core import ConfigurationCore, KeyNotFoundException
class GitLabCore:
url = None
token = None
ssl_verify = ... | 0.436862 | 0.15393 |
from msrest.serialization import Model
class FabricErrorError(Model):
"""Error object containing error code and error message.
All required parameters must be populated in order to send to Azure.
:param code: Required. Defines the fabric error codes that be returned as
part of the error object in ... | azure-servicefabric/azure/servicefabric/models/fabric_error_error.py |
from msrest.serialization import Model
class FabricErrorError(Model):
"""Error object containing error code and error message.
All required parameters must be populated in order to send to Azure.
:param code: Required. Defines the fabric error codes that be returned as
part of the error object in ... | 0.759047 | 0.097133 |
"""Permission to Roles Manager (Adapter)
"""
from zope.interface import implementer
from zope.security.permission import allPermissions
from zope.securitypolicy.role import checkRole
from zope.securitypolicy.interfaces import Allow, Deny, Unset
from zope.securitypolicy.interfaces import IRolePermissionManager
from zop... | src/zope/securitypolicy/rolepermission.py | """Permission to Roles Manager (Adapter)
"""
from zope.interface import implementer
from zope.security.permission import allPermissions
from zope.securitypolicy.role import checkRole
from zope.securitypolicy.interfaces import Allow, Deny, Unset
from zope.securitypolicy.interfaces import IRolePermissionManager
from zop... | 0.655887 | 0.232223 |
import torch
from torch.utils import data
class RandomSampler(data.sampler.Sampler):
"""Based off of pytorch RandomSampler and DistributedSampler. Essentially
a RandomSampler, but this class lets the user set an epoch like
DistributedSampler Samples elements randomly. If without replacement, then
samp... | megatron/data/samplers.py | import torch
from torch.utils import data
class RandomSampler(data.sampler.Sampler):
"""Based off of pytorch RandomSampler and DistributedSampler. Essentially
a RandomSampler, but this class lets the user set an epoch like
DistributedSampler Samples elements randomly. If without replacement, then
samp... | 0.904915 | 0.684758 |
import json
import boto3
import mock
from mock import patch
from moto import mock_iam, mock_sts
from pytest import raises
from security_monkey import db, app, ARN_PREFIX
from security_monkey.datastore import Account, AccountType, Technology, Item, ItemAudit, ItemRevision, WatcherConfig
from security_monkey.monitors i... | security_monkey/tests/scheduling/test_celery_scheduler.py | import json
import boto3
import mock
from mock import patch
from moto import mock_iam, mock_sts
from pytest import raises
from security_monkey import db, app, ARN_PREFIX
from security_monkey.datastore import Account, AccountType, Technology, Item, ItemAudit, ItemRevision, WatcherConfig
from security_monkey.monitors i... | 0.484624 | 0.21565 |
import tensorflow as tf
from tensorflow.keras import datasets, layers, models
import matplotlib.pyplot as plt
# Load and split dataset. This has a slightly different structure than usual as it uses a dataset instead of a np array
(train_images, train_labels), (test_images, test_labels) = datasets.cifar10.load_data()... | 5 - Computer Vision/image_detection_with_cnn.py | import tensorflow as tf
from tensorflow.keras import datasets, layers, models
import matplotlib.pyplot as plt
# Load and split dataset. This has a slightly different structure than usual as it uses a dataset instead of a np array
(train_images, train_labels), (test_images, test_labels) = datasets.cifar10.load_data()... | 0.876489 | 0.677626 |
import esgfpid
import logging
import sys
import datetime
input('Make sure you have an exchange "test123" ready, including a queue and the required bindings (see inside this script). Ok? (press any key)')
if not len(sys.argv) == 4:
print('Please call with <host> <user> <password>!')
exit(999)
# Please fill i... | manual_tests/test04_datacart.py | import esgfpid
import logging
import sys
import datetime
input('Make sure you have an exchange "test123" ready, including a queue and the required bindings (see inside this script). Ok? (press any key)')
if not len(sys.argv) == 4:
print('Please call with <host> <user> <password>!')
exit(999)
# Please fill i... | 0.110844 | 0.121191 |
from agent import Agent
class HumanAgent(Agent):
# overriding abstract method
def reinforce_owned_territory(self, state):
territory_name = input('Reinforce owned territory: ').strip()
return state.board.territories[territory_name]
# overriding abstract method
def reinforce_neutral_ter... | human_agent.py | from agent import Agent
class HumanAgent(Agent):
# overriding abstract method
def reinforce_owned_territory(self, state):
territory_name = input('Reinforce owned territory: ').strip()
return state.board.territories[territory_name]
# overriding abstract method
def reinforce_neutral_ter... | 0.470493 | 0.421373 |
import numpy as np
from sklearn.metrics import confusion_matrix
VOC_CLASSES = [
"background", "aeroplane", "bicycle", "bird",
"boat", "bottle", "bus", "car", "cat", "chair",
"cow", "diningtable", "dog", "horse", "motorbike",
"person", "pottedplant", "sheep", "sofa", "train", "tvmonitor"... | metrics/stream_metrics.py | import numpy as np
from sklearn.metrics import confusion_matrix
VOC_CLASSES = [
"background", "aeroplane", "bicycle", "bird",
"boat", "bottle", "bus", "car", "cat", "chair",
"cow", "diningtable", "dog", "horse", "motorbike",
"person", "pottedplant", "sheep", "sofa", "train", "tvmonitor"... | 0.670285 | 0.35855 |
from wdom.tag import NewTagClass as NewTag
from wdom.themes import Button as _Button
from wdom.themes import *
name = 'KATHAMO'
project_url = 'http://kathamo.github.io/'
project_repository = 'https://github.com/kathamo/Kathamo'
license = 'MIT License'
license_url = 'https://github.com/kathamo/Kathamo/blob/master/LICE... | wdom/themes/kathamo.py |
from wdom.tag import NewTagClass as NewTag
from wdom.themes import Button as _Button
from wdom.themes import *
name = 'KATHAMO'
project_url = 'http://kathamo.github.io/'
project_repository = 'https://github.com/kathamo/Kathamo'
license = 'MIT License'
license_url = 'https://github.com/kathamo/Kathamo/blob/master/LICE... | 0.641984 | 0.064772 |
import math
import StringIO
import types
__pychecker__ = 'no-returnvalues'
WS = set([' ', '\t', '\r', '\n', '\x08', '\x0c'])
DIGITS = set([str(i) for i in range(0, 10)])
NUMSTART = DIGITS.union(['.', '-', '+'])
NUMCHARS = NUMSTART.union(['e', 'E'])
ESC_MAP = {'n': '\n', 't': '\t', 'r': '\r', 'b': '\x08', 'f': '\x0c'}
R... | examples/microjson/mutants/CRP_Num_mutant_1486201313.py | import math
import StringIO
import types
__pychecker__ = 'no-returnvalues'
WS = set([' ', '\t', '\r', '\n', '\x08', '\x0c'])
DIGITS = set([str(i) for i in range(0, 10)])
NUMSTART = DIGITS.union(['.', '-', '+'])
NUMCHARS = NUMSTART.union(['e', 'E'])
ESC_MAP = {'n': '\n', 't': '\t', 'r': '\r', 'b': '\x08', 'f': '\x0c'}
R... | 0.444083 | 0.231527 |
class ClassGenerationContext(object):
def __init__(self, universe):
self._universe = universe
self._name = None
self._super_name = None
self._class_side = False # to be overridden
self._number_of_instance_fields_of_super = -1
self._number_of_class_fields_o... | som/compiler/class_generation_context.py | class ClassGenerationContext(object):
def __init__(self, universe):
self._universe = universe
self._name = None
self._super_name = None
self._class_side = False # to be overridden
self._number_of_instance_fields_of_super = -1
self._number_of_class_fields_o... | 0.581422 | 0.126434 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import numpy as np
import tensorflow as tf
from research.fivo.fivo.models import base
from research.fivo.fivo.test_utils import create_vrnn
class VrnnTest(tf.test.TestCase):
def test_vrnn_normal_emissi... | research/fivo/fivo/models/vrnn_test.py | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import numpy as np
import tensorflow as tf
from research.fivo.fivo.models import base
from research.fivo.fivo.test_utils import create_vrnn
class VrnnTest(tf.test.TestCase):
def test_vrnn_normal_emissi... | 0.844297 | 0.479504 |
import re
from gluon import current
from core import s3_str
PLACEHOLDER = re.compile(r"\{([^{}]+)\}")
# =============================================================================
def formatmap(template, mapping):
"""
Helper to replace placeholders in template using mapping
@param: template, ... | modules/templates/RLPPTM/notifications.py |
import re
from gluon import current
from core import s3_str
PLACEHOLDER = re.compile(r"\{([^{}]+)\}")
# =============================================================================
def formatmap(template, mapping):
"""
Helper to replace placeholders in template using mapping
@param: template, ... | 0.781289 | 0.326432 |
import copy
from typing import List, Optional, Union
from qiskit.circuit.exceptions import CircuitError
# pylint: disable=cyclic-import
from .quantumcircuit import QuantumCircuit
from .gate import Gate
from .quantumregister import QuantumRegister
from ._utils import _ctrl_state_to_int
class ControlledGate(Gate):
... | qiskit/circuit/controlledgate.py | import copy
from typing import List, Optional, Union
from qiskit.circuit.exceptions import CircuitError
# pylint: disable=cyclic-import
from .quantumcircuit import QuantumCircuit
from .gate import Gate
from .quantumregister import QuantumRegister
from ._utils import _ctrl_state_to_int
class ControlledGate(Gate):
... | 0.945235 | 0.514583 |
import string
import random
SYMBOLS = list('!"#$%&\'()*+,-./:;?@[]^_`{|}~')
UPPERCASE = ['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I', 'J', 'K', 'L', 'M', 'N', 'O', 'P', 'Q', 'R', 'S,' 'T', 'U', 'V', 'W', 'X', 'Y', 'Z']
LOWERCASE = ['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', 'j', 'k', 'l', 'm', 'n', 'o', 'p', 'q', '... | src/main.py | import string
import random
SYMBOLS = list('!"#$%&\'()*+,-./:;?@[]^_`{|}~')
UPPERCASE = ['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I', 'J', 'K', 'L', 'M', 'N', 'O', 'P', 'Q', 'R', 'S,' 'T', 'U', 'V', 'W', 'X', 'Y', 'Z']
LOWERCASE = ['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', 'j', 'k', 'l', 'm', 'n', 'o', 'p', 'q', '... | 0.149252 | 0.258575 |
import numpy as np
import pytest
from pyrender import (
DirectionalLight,
SpotLight,
PointLight,
Texture,
PerspectiveCamera,
OrthographicCamera,
)
from pyrender.constants import SHADOW_TEX_SZ
def test_directional_light():
d = DirectionalLight()
assert d.name is None
assert np.all... | tests/unit/test_lights.py | import numpy as np
import pytest
from pyrender import (
DirectionalLight,
SpotLight,
PointLight,
Texture,
PerspectiveCamera,
OrthographicCamera,
)
from pyrender.constants import SHADOW_TEX_SZ
def test_directional_light():
d = DirectionalLight()
assert d.name is None
assert np.all... | 0.791741 | 0.742982 |
"""Memory leak detection utility."""
from tensorflow.python.framework.python_memory_checker import _PythonMemoryChecker
from tensorflow.python.profiler import trace
from tensorflow.python.util import tf_inspect
try:
from tensorflow.python.platform.cpp_memory_checker import _CppMemoryChecker as CppMemoryChecker # p... | tensorflow/python/framework/memory_checker.py | """Memory leak detection utility."""
from tensorflow.python.framework.python_memory_checker import _PythonMemoryChecker
from tensorflow.python.profiler import trace
from tensorflow.python.util import tf_inspect
try:
from tensorflow.python.platform.cpp_memory_checker import _CppMemoryChecker as CppMemoryChecker # p... | 0.825027 | 0.267193 |
import os
from unittest import mock
from django.contrib.auth.models import Permission, User
from django.shortcuts import get_object_or_404
from django.test.utils import override_settings
from django.utils import translation
from django.utils.translation import gettext as _
from django.conf import settings
# Workarou... | geotrek/common/tests/__init__.py | import os
from unittest import mock
from django.contrib.auth.models import Permission, User
from django.shortcuts import get_object_or_404
from django.test.utils import override_settings
from django.utils import translation
from django.utils.translation import gettext as _
from django.conf import settings
# Workarou... | 0.490236 | 0.214157 |
import os.path, sys
sys.path.append(os.path.join(os.path.dirname(os.path.realpath(__file__)), os.pardir))
import mcpi.minecraft as minecraft
from math import sqrt
from PIL import Image
# Connect to minecraft server 127.0.0.1 as player 'steve'
mc = minecraft.Minecraft.create(address="127.0.0.1", name="steve")
# Poss... | examples/mcpi_pixel_art.py | import os.path, sys
sys.path.append(os.path.join(os.path.dirname(os.path.realpath(__file__)), os.pardir))
import mcpi.minecraft as minecraft
from math import sqrt
from PIL import Image
# Connect to minecraft server 127.0.0.1 as player 'steve'
mc = minecraft.Minecraft.create(address="127.0.0.1", name="steve")
# Poss... | 0.304972 | 0.284718 |
from __future__ import (absolute_import, division, print_function)
__metaclass__ = type
DOCUMENTATION = """
---
author: Ansible Networking Team
cliconf: vyos
short_description: Use vyos cliconf to run command on VyOS platform
description:
- This vyos plugin provides low level abstraction apis for
sending and rec... | virt/ansible-latest/lib/python2.7/site-packages/ansible/plugins/cliconf/vyos.py | from __future__ import (absolute_import, division, print_function)
__metaclass__ = type
DOCUMENTATION = """
---
author: Ansible Networking Team
cliconf: vyos
short_description: Use vyos cliconf to run command on VyOS platform
description:
- This vyos plugin provides low level abstraction apis for
sending and rec... | 0.390476 | 0.127002 |
"""Tests for tensorflow_probability.python.math.generic."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
# Dependency imports
from absl.testing import parameterized
import numpy as np
from scipy import special as sp_special
import tensorflow.compat.v1 a... | tensorflow_probability/python/math/generic_test.py | """Tests for tensorflow_probability.python.math.generic."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
# Dependency imports
from absl.testing import parameterized
import numpy as np
from scipy import special as sp_special
import tensorflow.compat.v1 a... | 0.912855 | 0.519095 |
import os
import sys
from typing import Optional
import pytest
import torch
from packaging.version import Version
from pkg_resources import get_distribution
from pytorch_lightning.utilities import (
_APEX_AVAILABLE,
_DEEPSPEED_AVAILABLE,
_FAIRSCALE_AVAILABLE,
_FAIRSCALE_FULLY_SHARDED_AVAILABLE,
_H... | tests/helpers/runif.py | import os
import sys
from typing import Optional
import pytest
import torch
from packaging.version import Version
from pkg_resources import get_distribution
from pytorch_lightning.utilities import (
_APEX_AVAILABLE,
_DEEPSPEED_AVAILABLE,
_FAIRSCALE_AVAILABLE,
_FAIRSCALE_FULLY_SHARDED_AVAILABLE,
_H... | 0.651798 | 0.268985 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import gin
import gym
import numpy as np
import tensorflow as tf # pylint: disable=g-explicit-tensorflow-version-import
from tf_agents.environments import batched_py_environment
from tf_agents.environments im... | social_rl/adversarial_env/adversarial_env.py | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import gin
import gym
import numpy as np
import tensorflow as tf # pylint: disable=g-explicit-tensorflow-version-import
from tf_agents.environments import batched_py_environment
from tf_agents.environments im... | 0.90269 | 0.386156 |
import os
from os.path import join
import json
CURRENT_FOLDER = os.path.abspath(os.path.dirname(__file__))
def process_file(task_file_contents, folder_path):
task_data = json.loads(task_file_contents)
result = []
for task in task_data["tasks"]:
assert all(x in task for x in ("name", "tester", "so... | tasks/task_lister.py | import os
from os.path import join
import json
CURRENT_FOLDER = os.path.abspath(os.path.dirname(__file__))
def process_file(task_file_contents, folder_path):
task_data = json.loads(task_file_contents)
result = []
for task in task_data["tasks"]:
assert all(x in task for x in ("name", "tester", "so... | 0.223377 | 0.169406 |
from datetime import timedelta
import logging
from requests.exceptions import ConnectTimeout, HTTPError
import voluptuous as vol
from homeassistant.const import (
ATTR_ATTRIBUTION, CONF_ACCESS_TOKEN, CONF_SCAN_INTERVAL)
import homeassistant.helpers.config_validation as cv
from homeassistant.core import callback
f... | homeassistant/components/hydrawise/__init__.py | from datetime import timedelta
import logging
from requests.exceptions import ConnectTimeout, HTTPError
import voluptuous as vol
from homeassistant.const import (
ATTR_ATTRIBUTION, CONF_ACCESS_TOKEN, CONF_SCAN_INTERVAL)
import homeassistant.helpers.config_validation as cv
from homeassistant.core import callback
f... | 0.673192 | 0.111919 |