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 random
from .operators import prod
from numpy import array, float64, ndarray
import numba
MAX_DIMS = 32
class IndexingError(RuntimeError):
"Exception raised for indexing errors."
pass
def index_to_position(index, strides):
"""
Converts a multidimensional tensor `index` into a single-dimensio... | jtorch/tensor_data.py | import random
from .operators import prod
from numpy import array, float64, ndarray
import numba
MAX_DIMS = 32
class IndexingError(RuntimeError):
"Exception raised for indexing errors."
pass
def index_to_position(index, strides):
"""
Converts a multidimensional tensor `index` into a single-dimensio... | 0.886076 | 0.61806 |
import datetime
import logging
from decimal import Decimal
from typing import Optional
from money import Money
from tau.core import HistoricNetworkScheduler, NetworkScheduler
from serenity.strategy.api import StrategyContext, TradingContext, Tradable, Transaction, TradingCostCalculator, \
PricingContext, PriceFie... | src/serenity/strategy/historical.py | import datetime
import logging
from decimal import Decimal
from typing import Optional
from money import Money
from tau.core import HistoricNetworkScheduler, NetworkScheduler
from serenity.strategy.api import StrategyContext, TradingContext, Tradable, Transaction, TradingCostCalculator, \
PricingContext, PriceFie... | 0.893635 | 0.179513 |
from unittest import mock
from ironic_python_agent import agent
from ironic_python_agent import errors
from ironic_python_agent.extensions import poll
from ironic_python_agent import hardware
from ironic_python_agent.tests.unit import base
class TestPollExtension(base.IronicAgentTest):
def setUp(self):
... | ironic_python_agent/tests/unit/extensions/test_poll.py |
from unittest import mock
from ironic_python_agent import agent
from ironic_python_agent import errors
from ironic_python_agent.extensions import poll
from ironic_python_agent import hardware
from ironic_python_agent.tests.unit import base
class TestPollExtension(base.IronicAgentTest):
def setUp(self):
... | 0.695338 | 0.188884 |
from roboter.models import ranking
from roboter.views import console
DEFAULT_ROBOT_NAME = 'Roboko'
class Robot(object):
"""Base model for Robot."""
def __init__(self, name=DEFAULT_ROBOT_NAME, user_name='',
speak_color='green'):
self.name = name
self.user_name = user_name
... | python_programming_demo_app-0.0.1/roboter/models/robot.py | from roboter.models import ranking
from roboter.views import console
DEFAULT_ROBOT_NAME = 'Roboko'
class Robot(object):
"""Base model for Robot."""
def __init__(self, name=DEFAULT_ROBOT_NAME, user_name='',
speak_color='green'):
self.name = name
self.user_name = user_name
... | 0.844553 | 0.154472 |
import hashlib
import binascii
import sys
import bisect
import hmac
import itertools
import os
import sys
import unicodedata
# Word list comes from here:
# https://github.com/bitcoin/bips/blob/master/bip-0039/english.txt
text_file = open("wordList.txt", "r")
wordList = text_file.read().split(',')
text_file.close()
u... | generator.py | import hashlib
import binascii
import sys
import bisect
import hmac
import itertools
import os
import sys
import unicodedata
# Word list comes from here:
# https://github.com/bitcoin/bips/blob/master/bip-0039/english.txt
text_file = open("wordList.txt", "r")
wordList = text_file.read().split(',')
text_file.close()
u... | 0.450359 | 0.273111 |
import uuid
from neutron_lib.placement import utils as place_utils
from neutron_lib.tests import _base as base
class TestPlacementUtils(base.BaseTestCase):
def setUp(self):
super(TestPlacementUtils, self).setUp()
self._uuid_ns = uuid.UUID('94fedd4d-1ce0-4bb3-9c9a-c9c0f56de154')
def test_p... | neutron_lib/tests/unit/placement/test_utils.py |
import uuid
from neutron_lib.placement import utils as place_utils
from neutron_lib.tests import _base as base
class TestPlacementUtils(base.BaseTestCase):
def setUp(self):
super(TestPlacementUtils, self).setUp()
self._uuid_ns = uuid.UUID('94fedd4d-1ce0-4bb3-9c9a-c9c0f56de154')
def test_p... | 0.679498 | 0.229384 |
import os
import sys
import inspect
import argparse
import keyword
import vapoursynth
from typing import Dict, List, Optional, Sequence, Union, NamedTuple
parser = argparse.ArgumentParser()
parser.add_argument("plugins", type=str, nargs="*", help="Only generate stubs for and inject specified plugin namespaces.")
pars... | vsgenstubs/__init__.py |
import os
import sys
import inspect
import argparse
import keyword
import vapoursynth
from typing import Dict, List, Optional, Sequence, Union, NamedTuple
parser = argparse.ArgumentParser()
parser.add_argument("plugins", type=str, nargs="*", help="Only generate stubs for and inject specified plugin namespaces.")
pars... | 0.615088 | 0.158207 |
import sqlite3
import logging
import os
from db.peers import Peers
from db.commands import Commands
class LightningDB:
"""DB-dependent wrapper around SQLite3.
Runs migration if `user_version` is older than `MAX_VERSION` and register
a trigger for automated orphan removal.
"""
MAX_VERSION = 1
... | db/__init__.py | import sqlite3
import logging
import os
from db.peers import Peers
from db.commands import Commands
class LightningDB:
"""DB-dependent wrapper around SQLite3.
Runs migration if `user_version` is older than `MAX_VERSION` and register
a trigger for automated orphan removal.
"""
MAX_VERSION = 1
... | 0.543833 | 0.070176 |
from __future__ import unicode_literals
import datetime
from decimal import Decimal
from django.test import TestCase
from django.test.utils import skipUnless
from six.moves import StringIO
from django.utils.translation import gettext_lazy
from rest_framework_xml.renderers import XMLRenderer
from rest_framework_xml.pa... | tests/test_renderers.py | from __future__ import unicode_literals
import datetime
from decimal import Decimal
from django.test import TestCase
from django.test.utils import skipUnless
from six.moves import StringIO
from django.utils.translation import gettext_lazy
from rest_framework_xml.renderers import XMLRenderer
from rest_framework_xml.pa... | 0.685844 | 0.30632 |
import re
import os
from typing import TextIO, List, Tuple, Optional, Dict
# name, default value, description
Entity = Tuple[str, str, str]
# https://regex101.com/r/R6iogw/12
cmake_option_regex: str = r"^\s*option\s*\(([A-Z_0-9${}]+)\s*(?:\"((?:.|\n)*?)\")?\s*(.*)?\).*$"
ch_master_url: str = "https://github.com/clic... | docs/tools/cmake_in_clickhouse_generator.py | import re
import os
from typing import TextIO, List, Tuple, Optional, Dict
# name, default value, description
Entity = Tuple[str, str, str]
# https://regex101.com/r/R6iogw/12
cmake_option_regex: str = r"^\s*option\s*\(([A-Z_0-9${}]+)\s*(?:\"((?:.|\n)*?)\")?\s*(.*)?\).*$"
ch_master_url: str = "https://github.com/clic... | 0.667581 | 0.187579 |
from dataclasses import dataclass
from pms import InconsistentObservation
from pms.sensor import base
from . import pms3003
commands = base.Commands(
passive_read=base.Cmd(b"\x42\x4D\xE2\x00\x00\x01\x71", b"\x42\x4D\x00\x1c", 32),
passive_mode=base.Cmd(b"\x42\x4D\xE1\x00\x00\x01\x70", b"\x42\x4D\x00\x04", 8)... | src/pms/sensor/plantower/pmsx003.py | from dataclasses import dataclass
from pms import InconsistentObservation
from pms.sensor import base
from . import pms3003
commands = base.Commands(
passive_read=base.Cmd(b"\x42\x4D\xE2\x00\x00\x01\x71", b"\x42\x4D\x00\x1c", 32),
passive_mode=base.Cmd(b"\x42\x4D\xE1\x00\x00\x01\x70", b"\x42\x4D\x00\x04", 8)... | 0.715722 | 0.328112 |
import smart_imports
smart_imports.all()
class PrototypeTests(utils_testcase.TestCase):
def setUp(self):
super(PrototypeTests, self).setUp()
self.date = datetime.datetime.now()
self.timedelta = datetime.timedelta(microseconds=1)
def test_create(self):
with self.check_delta(... | src/the_tale/the_tale/statistics/tests/test_prototypes.py | import smart_imports
smart_imports.all()
class PrototypeTests(utils_testcase.TestCase):
def setUp(self):
super(PrototypeTests, self).setUp()
self.date = datetime.datetime.now()
self.timedelta = datetime.timedelta(microseconds=1)
def test_create(self):
with self.check_delta(... | 0.606265 | 0.575349 |
import pymongo
def get_connection():
return pymongo.MongoClient().demo_oauth_provider
class Model(dict):
@classmethod
def get_collection(cls):
conn = get_connection()
return conn[cls.table]
@classmethod
def find_one(cls, attrs):
return cls.get_collection().find_o... | examples/mongo_demoprovider/models.py | import pymongo
def get_connection():
return pymongo.MongoClient().demo_oauth_provider
class Model(dict):
@classmethod
def get_collection(cls):
conn = get_connection()
return conn[cls.table]
@classmethod
def find_one(cls, attrs):
return cls.get_collection().find_o... | 0.637257 | 0.136493 |
import argparse
import time
def main() -> None:
""""Execute the main routine."""
parser = argparse.ArgumentParser(description=__doc__)
parser.add_argument("--module", help="name of the module to import",
choices=[
"functions_100_with_no_contract",
... | benchmarks/import_cost/measure.py | import argparse
import time
def main() -> None:
""""Execute the main routine."""
parser = argparse.ArgumentParser(description=__doc__)
parser.add_argument("--module", help="name of the module to import",
choices=[
"functions_100_with_no_contract",
... | 0.412294 | 0.353903 |
import typing as T
import voluptuous as vol
from ... import common
from .base import ActorBase
ALLOWED_VALUE_TYPES = (float, int, str, type(None))
ALLOWED_VALUE_TYPES_T = T.Union[float, int, str, None] # pylint: disable=invalid-name
VALUE_DEF_SCHEMA = vol.Schema(
vol.All(
lambda v: v or {},
{
... | hass_apps/schedy/actor/generic.py | import typing as T
import voluptuous as vol
from ... import common
from .base import ActorBase
ALLOWED_VALUE_TYPES = (float, int, str, type(None))
ALLOWED_VALUE_TYPES_T = T.Union[float, int, str, None] # pylint: disable=invalid-name
VALUE_DEF_SCHEMA = vol.Schema(
vol.All(
lambda v: v or {},
{
... | 0.690246 | 0.142351 |
import os
import shutil
import subprocess
import traceback
from pathlib import Path
from termcolor import colored
os.system("color")
print(
colored(
"""
ooooo ooo ooooo ooooo ooooooo ooooo
`888' `8' `888' `888' `8888 d8'
888 8 888 888 Y888..8P... | export_game.py | import os
import shutil
import subprocess
import traceback
from pathlib import Path
from termcolor import colored
os.system("color")
print(
colored(
"""
ooooo ooo ooooo ooooo ooooooo ooooo
`888' `8' `888' `888' `8888 d8'
888 8 888 888 Y888..8P... | 0.276691 | 0.18101 |
"""Base settings shared by all environments"""
# Import global settings to make it easier to extend settings.
from django.conf.global_settings import * # pylint: disable=W0614,W0401
from django.template.defaultfilters import slugify
#==============================================================================
# ... | umap/settings/base.py |
"""Base settings shared by all environments"""
# Import global settings to make it easier to extend settings.
from django.conf.global_settings import * # pylint: disable=W0614,W0401
from django.template.defaultfilters import slugify
#==============================================================================
# ... | 0.427038 | 0.053949 |
import os.path
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
import random
class Critic(nn.Module):
def __init__(self, input_size, output_size, hidden_size):
super().__init__()
self.input_size = input_size
self.output_size = output_size
... | course_competition/rl_trainer/dqn.py | import os.path
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
import random
class Critic(nn.Module):
def __init__(self, input_size, output_size, hidden_size):
super().__init__()
self.input_size = input_size
self.output_size = output_size
... | 0.864525 | 0.410874 |
import types
class OidMap:
''' Create OidMap '''
def __init__(self):
self.map = {}
def get_oid_map(self):
return self.map
def map_objs(self,**kwobjs):
''' Usually use to update the map.
Sample usage:
cl... | rock4/common/dev/idleshell/diyoid.py | import types
class OidMap:
''' Create OidMap '''
def __init__(self):
self.map = {}
def get_oid_map(self):
return self.map
def map_objs(self,**kwobjs):
''' Usually use to update the map.
Sample usage:
cl... | 0.219338 | 0.116036 |
from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Plink',
fields=[
(... | plink/migrations/0001_initial.py | from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Plink',
fields=[
(... | 0.617974 | 0.159839 |
import requests
import hmac
from hashlib import sha1
import json
try:
from urllib.parse import urlencode
except ImportError:
# python2
from urllib import urlencode
CS_URL = "https://hapi.couchsurfing.com"
PRIVATE_KEY = "<KEY>"
class AuthError(Exception):
"""
Authentication error
"""
def _... | couchsurfing/api.py | import requests
import hmac
from hashlib import sha1
import json
try:
from urllib.parse import urlencode
except ImportError:
# python2
from urllib import urlencode
CS_URL = "https://hapi.couchsurfing.com"
PRIVATE_KEY = "<KEY>"
class AuthError(Exception):
"""
Authentication error
"""
def _... | 0.491456 | 0.140218 |
import json
import re
import shutil
import uuid
import htcondor
from .utilities import run
def rerun_workflow(self, username, groups, email, workflow_id):
"""
Re-run any failed jobs from a completed workflow
"""
schedd = htcondor.Schedd()
constraint = 'ProminenceIdentity =?= "%s" && ClusterId ==... | frontend/prominence/backend/rerun_workflow.py | import json
import re
import shutil
import uuid
import htcondor
from .utilities import run
def rerun_workflow(self, username, groups, email, workflow_id):
"""
Re-run any failed jobs from a completed workflow
"""
schedd = htcondor.Schedd()
constraint = 'ProminenceIdentity =?= "%s" && ClusterId ==... | 0.309963 | 0.093678 |
import abc
import typing
import grpclib.const
import grpclib.client
if typing.TYPE_CHECKING:
import grpclib.server
from . import backups_pb2
from . import mutations_pb2
class MutationsBase(abc.ABC):
@abc.abstractmethod
async def FlattenMutations(self, stream: 'grpclib.server.Stream[mutations_pb2.Mutati... | dbots/protos/mutations_grpc.py | import abc
import typing
import grpclib.const
import grpclib.client
if typing.TYPE_CHECKING:
import grpclib.server
from . import backups_pb2
from . import mutations_pb2
class MutationsBase(abc.ABC):
@abc.abstractmethod
async def FlattenMutations(self, stream: 'grpclib.server.Stream[mutations_pb2.Mutati... | 0.528533 | 0.082549 |
import click
import os
import subprocess
import sys
from augur.runtime import pass_application
from augur.util import logger
@click.group('util', short_help='Miscellaneous utilities')
def cli():
pass
@cli.command('shell', short_help='Drop into a shell')
@pass_application
def shell(app):
app.shell()
@cli.comm... | augur/cli/util.py | import click
import os
import subprocess
import sys
from augur.runtime import pass_application
from augur.util import logger
@click.group('util', short_help='Miscellaneous utilities')
def cli():
pass
@cli.command('shell', short_help='Drop into a shell')
@pass_application
def shell(app):
app.shell()
@cli.comm... | 0.265785 | 0.065038 |
import numpy as np
class CountFeaturesExtractor(object):
def __init__(self, stream):
self.stream = stream
def __iter__(self):
for variant_label, alleles, genotypes in self.stream:
chrom, pos = variant_label
ref_column = [0.] * len(genotypes)
alt_column = [0.... | asaph/feature_extraction.py | import numpy as np
class CountFeaturesExtractor(object):
def __init__(self, stream):
self.stream = stream
def __iter__(self):
for variant_label, alleles, genotypes in self.stream:
chrom, pos = variant_label
ref_column = [0.] * len(genotypes)
alt_column = [0.... | 0.534612 | 0.340184 |
import os
import re
import sys
import time
import errno
import signal
import select
from botnet import Command
# Helpers
def popen(*args, **keys):
import subprocess
defaults = {
"stdout": subprocess.PIPE,
"stderr": subprocess.PIPE,
"stdin": subprocess.PIPE,
"close_fds": True... | abusehelper/tools/botnet/commands.py | import os
import re
import sys
import time
import errno
import signal
import select
from botnet import Command
# Helpers
def popen(*args, **keys):
import subprocess
defaults = {
"stdout": subprocess.PIPE,
"stderr": subprocess.PIPE,
"stdin": subprocess.PIPE,
"close_fds": True... | 0.268078 | 0.096365 |
from ._base import NumpyBaseLinearRegressor, TFBaseLinearRegressor, TorchBaseLinearRegressor
import numpy as np
import tensorflow as tf
import torch
class NumpyLWLR(NumpyBaseLinearRegressor):
"""Locally Weighted Linear Regression model with Numpy, explicitly inherits
from NumpyBaseLinearRegressor already... | LossJLearn/linear_model/_lwlr.py | from ._base import NumpyBaseLinearRegressor, TFBaseLinearRegressor, TorchBaseLinearRegressor
import numpy as np
import tensorflow as tf
import torch
class NumpyLWLR(NumpyBaseLinearRegressor):
"""Locally Weighted Linear Regression model with Numpy, explicitly inherits
from NumpyBaseLinearRegressor already... | 0.933529 | 0.587559 |
import serial
import adafruit_board_toolkit.circuitpython_serial
from animatedgif import AnimatedGif
import pygame
port = None
def detect_port():
"""
Detect the port automatically
"""
comports = adafruit_board_toolkit.circuitpython_serial.data_comports()
ports = [comport.device for comport in com... | Raspberry_Pi_Animated_Gif_Player/pygame_player.py | import serial
import adafruit_board_toolkit.circuitpython_serial
from animatedgif import AnimatedGif
import pygame
port = None
def detect_port():
"""
Detect the port automatically
"""
comports = adafruit_board_toolkit.circuitpython_serial.data_comports()
ports = [comport.device for comport in com... | 0.581897 | 0.230324 |
from django.shortcuts import render,redirect
from .models import Profile,Project
from django.contrib.auth.decorators import login_required
from .forms import ProjectForm,VoteForm,EditProfile
from rest_framework.response import Response
from rest_framework.views import APIView
from .serializer import ProjectSerializer,P... | awards/views.py | from django.shortcuts import render,redirect
from .models import Profile,Project
from django.contrib.auth.decorators import login_required
from .forms import ProjectForm,VoteForm,EditProfile
from rest_framework.response import Response
from rest_framework.views import APIView
from .serializer import ProjectSerializer,P... | 0.31321 | 0.072014 |
import numpy as np
import pandas as pd
from hics.slice_similarity import continuous_similarity_matrix, categorical_similarity_matrix
from hics.slice_selection import select_by_similarity
class ScoredSlices:
def __init__(self, categorical, continuous, to_keep=5, threshold=None):
self.continuous = {feature:... | hics/scored_slices.py | import numpy as np
import pandas as pd
from hics.slice_similarity import continuous_similarity_matrix, categorical_similarity_matrix
from hics.slice_selection import select_by_similarity
class ScoredSlices:
def __init__(self, categorical, continuous, to_keep=5, threshold=None):
self.continuous = {feature:... | 0.638272 | 0.568895 |
import pytest
import sru
import torch
@pytest.mark.parametrize(
"cuda",
[
False,
pytest.param(
True,
marks=pytest.mark.skipif(
not torch.cuda.is_available(), reason="no cuda available"
),
),
],
)
@pytest.mark.parametrize("with_gra... | test/sru/test_sru.py | import pytest
import sru
import torch
@pytest.mark.parametrize(
"cuda",
[
False,
pytest.param(
True,
marks=pytest.mark.skipif(
not torch.cuda.is_available(), reason="no cuda available"
),
),
],
)
@pytest.mark.parametrize("with_gra... | 0.706899 | 0.616532 |
from __future__ import absolute_import, print_function
import datetime as dt
import logging
import time
import re
import ujson
from pyclickhouse.FilterableCache import FilterableCache
from pyclickhouse.formatter import TabSeparatedWithNamesAndTypesFormatter, NestingLevelTooHigh
class Cursor(object):
"""
Due... | pyclickhouse/Cursor.py | from __future__ import absolute_import, print_function
import datetime as dt
import logging
import time
import re
import ujson
from pyclickhouse.FilterableCache import FilterableCache
from pyclickhouse.formatter import TabSeparatedWithNamesAndTypesFormatter, NestingLevelTooHigh
class Cursor(object):
"""
Due... | 0.780412 | 0.366987 |
# ----------------------------------------------------------------------
# Imports
# ----------------------------------------------------------------------
import numpy as np
from SUAVE.Core import Units
# ----------------------------------------------------------------------
# Expand State
# ---------------------... | SUAVE/SUAVE-2.5.0/trunk/SUAVE/Methods/Missions/Segments/Descent/Constant_Speed_Constant_Angle_Noise.py |
# ----------------------------------------------------------------------
# Imports
# ----------------------------------------------------------------------
import numpy as np
from SUAVE.Core import Units
# ----------------------------------------------------------------------
# Expand State
# ---------------------... | 0.87766 | 0.647241 |
from scrapy import Spider
from scrapy.http import Request
from firmware.items import FirmwareImage
from firmware.loader import FirmwareLoader
import urllib.parse
class AsusSpider(Spider):
name = "asus-old"
region = "en"
allowed_domains = ["asus.com"]
start_urls = ["https://www.asus.com/support/"]
... | sources/scraper/firmware/spiders/asus-old.py | from scrapy import Spider
from scrapy.http import Request
from firmware.items import FirmwareImage
from firmware.loader import FirmwareLoader
import urllib.parse
class AsusSpider(Spider):
name = "asus-old"
region = "en"
allowed_domains = ["asus.com"]
start_urls = ["https://www.asus.com/support/"]
... | 0.272025 | 0.083217 |
import serial
class SerialDriver:
"""
| A driver for the serial port that simply wraps around the standard pyserial python module.
| On init it stores the values passed as parameters and
| opens the connection.
Args:
This are the exact same that pyserial uses
"""
def __i... | MTP/drivers/SerialDriver.py |
import serial
class SerialDriver:
"""
| A driver for the serial port that simply wraps around the standard pyserial python module.
| On init it stores the values passed as parameters and
| opens the connection.
Args:
This are the exact same that pyserial uses
"""
def __i... | 0.743541 | 0.293784 |
from __future__ import absolute_import
__all__ = ('BroadPhase',)
__version__ = "$Revision: 342 $"
__date__ = "$Date: 2011-06-07 17:05:00 -0400 (Tue, 07 Jun 2011) $"
# $Source$
from .dynamictree import DynamicTree
class BroadPhase(object):
"""
The broad-phase is used for computing pairs and perfo... | pypybox2d/broadphase.py |
from __future__ import absolute_import
__all__ = ('BroadPhase',)
__version__ = "$Revision: 342 $"
__date__ = "$Date: 2011-06-07 17:05:00 -0400 (Tue, 07 Jun 2011) $"
# $Source$
from .dynamictree import DynamicTree
class BroadPhase(object):
"""
The broad-phase is used for computing pairs and perfo... | 0.833291 | 0.242935 |
from mapreduce import mapreduce
import json
from collections import defaultdict
from tssb_miner.edit_abstraction import abstract_edit_script
def label_instance(slc):
labels = ["ALL"]
if slc["likely_bug"]:
labels.append("BUGGY")
if not slc["comodified"]:
labels.append("NOCOMODIFIED"... | stats.py | from mapreduce import mapreduce
import json
from collections import defaultdict
from tssb_miner.edit_abstraction import abstract_edit_script
def label_instance(slc):
labels = ["ALL"]
if slc["likely_bug"]:
labels.append("BUGGY")
if not slc["comodified"]:
labels.append("NOCOMODIFIED"... | 0.335895 | 0.119408 |
from keras import backend as K
from keras.engine.topology import Layer
import numpy as np
import tensorflow as tf
from keras import regularizers, constraints, initializers, activations
class Dense_New(Layer):
def __init__(self, units,
activation=None,
use_bias=True,
# ... | LSTM/dense_new.py | from keras import backend as K
from keras.engine.topology import Layer
import numpy as np
import tensorflow as tf
from keras import regularizers, constraints, initializers, activations
class Dense_New(Layer):
def __init__(self, units,
activation=None,
use_bias=True,
# ... | 0.839471 | 0.409575 |
from typing import Iterator, List, Tuple
import abc
from datetime import datetime
from PiCN.Layers.ICNLayer.ForwardingInformationBase import BaseForwardingInformationBase, ForwardingInformationBaseEntry
from PiCN.Packets import Name
class BaseRoutingInformationBase(abc.ABC):
"""
Abstract base class to be im... | PiCN/Layers/RoutingLayer/RoutingInformationBase/BaseRoutingInformationBase.py | from typing import Iterator, List, Tuple
import abc
from datetime import datetime
from PiCN.Layers.ICNLayer.ForwardingInformationBase import BaseForwardingInformationBase, ForwardingInformationBaseEntry
from PiCN.Packets import Name
class BaseRoutingInformationBase(abc.ABC):
"""
Abstract base class to be im... | 0.884264 | 0.26486 |
from random import choice
from string import ascii_uppercase
import logging
import time
# logging.basicConfig(level=logging.INFO)
def timeit(method):
"""Calculates time taken to run a function when called"""
def timed(*args, **kw):
t1 = time.time()
result = method(*args, **kw)
print '... | boggle.py | from random import choice
from string import ascii_uppercase
import logging
import time
# logging.basicConfig(level=logging.INFO)
def timeit(method):
"""Calculates time taken to run a function when called"""
def timed(*args, **kw):
t1 = time.time()
result = method(*args, **kw)
print '... | 0.518302 | 0.338842 |
from hsml.connection import CONNECTION_SAAS_HOSTNAME
from hsml.client.hopsworks import base as hw_base
from hsml.client.hopsworks import internal as hw_internal
from hsml.client.hopsworks import external as hw_external
from hsml.client.istio import base as ist_base
from hsml.client.istio import internal as ist_inter... | python/hsml/client/__init__.py |
from hsml.connection import CONNECTION_SAAS_HOSTNAME
from hsml.client.hopsworks import base as hw_base
from hsml.client.hopsworks import internal as hw_internal
from hsml.client.hopsworks import external as hw_external
from hsml.client.istio import base as ist_base
from hsml.client.istio import internal as ist_inter... | 0.406155 | 0.04075 |
import numpy as np
import math
from qiskit import QuantumRegister, ClassicalRegister, QuantumCircuit, QiskitError
from qiskit.compiler import assemble
from qiskit.providers.aer import QasmSimulator
from qiskit.quantum_info.random import random_unitary
from qiskit.quantum_info.synthesis import two_qubit_cnot_decompose
... | test/benchmark/fusion_benchmarks.py | import numpy as np
import math
from qiskit import QuantumRegister, ClassicalRegister, QuantumCircuit, QiskitError
from qiskit.compiler import assemble
from qiskit.providers.aer import QasmSimulator
from qiskit.quantum_info.random import random_unitary
from qiskit.quantum_info.synthesis import two_qubit_cnot_decompose
... | 0.661923 | 0.605303 |
import numpy as np
class Statistic:
def __init__(self, data=None):
if data is not None:
self._data = list(data)
else:
self._data = []
def append(self, value):
self._data.append(value)
def extend(self, data):
self._data.extend(data)
... | pydesim/statistics.py | import numpy as np
class Statistic:
def __init__(self, data=None):
if data is not None:
self._data = list(data)
else:
self._data = []
def append(self, value):
self._data.append(value)
def extend(self, data):
self._data.extend(data)
... | 0.492676 | 0.442817 |
import argparse
import datetime
from remove_space import remove_space
from model_test import Tester
# Allows a model to be tested from the terminal.
dataset = 'REDD'
# dataset = 'UKDALE'
# dataset = 'REFIT'
# You need to input your test data directory
# appliances = ['microwave','fridge','dishwasher','washingmachine'... | test_transfer.py | import argparse
import datetime
from remove_space import remove_space
from model_test import Tester
# Allows a model to be tested from the terminal.
dataset = 'REDD'
# dataset = 'UKDALE'
# dataset = 'REFIT'
# You need to input your test data directory
# appliances = ['microwave','fridge','dishwasher','washingmachine'... | 0.400163 | 0.229794 |
import re
import cfgrib
from metpy.units import units
def open_datasets(filepath_template, **kwargs):
"""Open collection of datasets from grib file defined by template and args."""
return cfgrib.open_datasets(
filepath_template.format(**kwargs),
backend_kwargs={'indexpath': ''}
)
def s... | lib/grib.py | import re
import cfgrib
from metpy.units import units
def open_datasets(filepath_template, **kwargs):
"""Open collection of datasets from grib file defined by template and args."""
return cfgrib.open_datasets(
filepath_template.format(**kwargs),
backend_kwargs={'indexpath': ''}
)
def s... | 0.68658 | 0.354154 |
import sqlite3
def add_data(atr, connection):
with connection:
c = connection.cursor()
c.execute("INSERT INTO tempos_atr_2019 (IDAtracacao,"
"TEsperaAtracacao,"
"TEsperaInicioOp,"
"TOperacao,"
"TEsperaDesatracacao,"
... | Main/database/connectors.py | import sqlite3
def add_data(atr, connection):
with connection:
c = connection.cursor()
c.execute("INSERT INTO tempos_atr_2019 (IDAtracacao,"
"TEsperaAtracacao,"
"TEsperaInicioOp,"
"TOperacao,"
"TEsperaDesatracacao,"
... | 0.134861 | 0.237255 |
import warnings
import argparse
import json
from pandas.io.json import json_normalize
from categories import Categories
import sys
from nltk.corpus import wordnet as wn
import pandas as pd
from tqdm import tqdm
import os
import re
warnings.filterwarnings(
"ignore",
message="numpy.dtype size changed, may indic... | match_synsets_to_categories.py | import warnings
import argparse
import json
from pandas.io.json import json_normalize
from categories import Categories
import sys
from nltk.corpus import wordnet as wn
import pandas as pd
from tqdm import tqdm
import os
import re
warnings.filterwarnings(
"ignore",
message="numpy.dtype size changed, may indic... | 0.448185 | 0.299176 |
import shutil
import time
SECONDS_IN_HOUR = 3600
SECONDS_IN_MINUTE = 60
SHORTEST_AMOUNT_OF_TIME = 0
class InvalidTimeParameterError(Exception):
pass
def _get_delay_time(session):
"""
Helper function to extract the delay time from the session.
:param session: Pytest session object.
:return: Ret... | src/pytest_stress/pytest_stress.py | import shutil
import time
SECONDS_IN_HOUR = 3600
SECONDS_IN_MINUTE = 60
SHORTEST_AMOUNT_OF_TIME = 0
class InvalidTimeParameterError(Exception):
pass
def _get_delay_time(session):
"""
Helper function to extract the delay time from the session.
:param session: Pytest session object.
:return: Ret... | 0.730578 | 0.372819 |
from sqlalchemy import * # noqa
def test_first(dbs, TestModelA):
dbs.add(TestModelA(title="Lorem"))
dbs.add(TestModelA(title="Ipsum"))
dbs.add(TestModelA(title="Sit"))
dbs.commit()
obj = dbs.first(TestModelA)
assert obj.title == "Lorem"
def test_create(dbs, TestModelA):
dbs.create(Test... | tests/test_session.py | from sqlalchemy import * # noqa
def test_first(dbs, TestModelA):
dbs.add(TestModelA(title="Lorem"))
dbs.add(TestModelA(title="Ipsum"))
dbs.add(TestModelA(title="Sit"))
dbs.commit()
obj = dbs.first(TestModelA)
assert obj.title == "Lorem"
def test_create(dbs, TestModelA):
dbs.create(Test... | 0.503906 | 0.543651 |
import json
class row:
def __init__(
self=None, id=None, contract=None, name=None, addr=None, geo=None,
bank=None, bonus=None, status=None, update=None, conn=None, overflow=None,
shape=None, totalst=None, mainst=None, overflowst=None
):
self.id = id; self.contract = contract; self.name = name
... | execute/support/station.py | import json
class row:
def __init__(
self=None, id=None, contract=None, name=None, addr=None, geo=None,
bank=None, bonus=None, status=None, update=None, conn=None, overflow=None,
shape=None, totalst=None, mainst=None, overflowst=None
):
self.id = id; self.contract = contract; self.name = name
... | 0.463201 | 0.089614 |
import asyncio
import contextlib
import itertools
class ExpiringDict:
def __init__(self, loop, seconds):
self._loop = loop
self._seconds = seconds
self._store = {}
def __getitem__(self, key):
return self._store[key][0]
def __setitem__(self, key, value):
def delet... | aioftps3/server_utils.py | import asyncio
import contextlib
import itertools
class ExpiringDict:
def __init__(self, loop, seconds):
self._loop = loop
self._seconds = seconds
self._store = {}
def __getitem__(self, key):
return self._store[key][0]
def __setitem__(self, key, value):
def delet... | 0.601008 | 0.241512 |
try:
from urllib2 import urlopen
from urllib2 import URLError, HTTPError
except ImportError:
from urllib.request import urlopen
from urllib.error import URLError, HTTPError
import json
import socket
import codecs
from ..tq_common_lib import fixurl, decode_utf_8, get_variable
identifier="openthesaurus... | autoload/thesaurus_query/backends/openthesaurus_de_lookup.py |
try:
from urllib2 import urlopen
from urllib2 import URLError, HTTPError
except ImportError:
from urllib.request import urlopen
from urllib.error import URLError, HTTPError
import json
import socket
import codecs
from ..tq_common_lib import fixurl, decode_utf_8, get_variable
identifier="openthesaurus... | 0.347426 | 0.185467 |
import math
import os
import sys
from typing import List, Callable
import numpy as np
class TrustRegion:
UNIFORM_MIN = 10
UNIFORM_MAX = 1000
DELTA_0 = 1
DELTA_MAX = 10000
EPSILON = 10 ** -8
TOLERANCE = 10 ** -12
def __init__(self, n: int):
"""
:param n: Dimension of ... | hw/hw03/src/trust_region.py | import math
import os
import sys
from typing import List, Callable
import numpy as np
class TrustRegion:
UNIFORM_MIN = 10
UNIFORM_MAX = 1000
DELTA_0 = 1
DELTA_MAX = 10000
EPSILON = 10 ** -8
TOLERANCE = 10 ** -12
def __init__(self, n: int):
"""
:param n: Dimension of ... | 0.715623 | 0.662169 |
from datetime import datetime, timedelta
from logging import getLogger
# Third party library
# Local library
from warehouse.server.config.globals import M
def decode_cookie(request):
my_cookie = request.get_secure_cookie("session", max_age_days=1)
try:
curr_uuid = my_cookie.decode("ascii")
except ... | warehouse/server/util.py | from datetime import datetime, timedelta
from logging import getLogger
# Third party library
# Local library
from warehouse.server.config.globals import M
def decode_cookie(request):
my_cookie = request.get_secure_cookie("session", max_age_days=1)
try:
curr_uuid = my_cookie.decode("ascii")
except ... | 0.695855 | 0.182098 |
import abc
import gym
import logging
from typing import Any, Dict, List, Tuple
from ray.tune.registry import RLLIB_CONNECTOR, _global_registry
from ray.rllib.policy.policy import Policy
from ray.rllib.policy.view_requirement import ViewRequirement
from ray.rllib.utils.annotations import DeveloperAPI
from ray.rllib.uti... | rllib/connectors/connector.py | import abc
import gym
import logging
from typing import Any, Dict, List, Tuple
from ray.tune.registry import RLLIB_CONNECTOR, _global_registry
from ray.rllib.policy.policy import Policy
from ray.rllib.policy.view_requirement import ViewRequirement
from ray.rllib.utils.annotations import DeveloperAPI
from ray.rllib.uti... | 0.84941 | 0.354084 |
import json
import os
import pandas as pd
from interfaces.fileimport import MultiFileDataImporter
class DatasetDescription:
"""
Manages a set of files containing data that is be split up into files containing different time periods.
Such a dataset is described in a JSON description file which is loaded ... | cmscalibration/importers/dataset_import.py | import json
import os
import pandas as pd
from interfaces.fileimport import MultiFileDataImporter
class DatasetDescription:
"""
Manages a set of files containing data that is be split up into files containing different time periods.
Such a dataset is described in a JSON description file which is loaded ... | 0.814533 | 0.347039 |
from __future__ import unicode_literals
from django.apps import AppConfig
from django.contrib.auth import get_user_model
from django.db.models import signals
from django_fsm import signals as fsm_signals
from nodeconductor.core.models import SshPublicKey
from nodeconductor.quotas import handlers as quotas_handlers
fr... | nodeconductor/structure/apps.py | from __future__ import unicode_literals
from django.apps import AppConfig
from django.contrib.auth import get_user_model
from django.db.models import signals
from django_fsm import signals as fsm_signals
from nodeconductor.core.models import SshPublicKey
from nodeconductor.quotas import handlers as quotas_handlers
fr... | 0.589953 | 0.067026 |
import time
import Command
import ResetNone
class ResetNonConst(ResetNone.ResetNone):
def __init__(self):
self.is_move_detected = False
self.is_target_speed_detected = False
self.is_constant = False
self.target_speed = 0.0
self.previous_speed = 0.0
self.move_step_q... | ResetNonConst.py | import time
import Command
import ResetNone
class ResetNonConst(ResetNone.ResetNone):
def __init__(self):
self.is_move_detected = False
self.is_target_speed_detected = False
self.is_constant = False
self.target_speed = 0.0
self.previous_speed = 0.0
self.move_step_q... | 0.243552 | 0.09451 |
import json
import pickle
import logging
from os import path, makedirs
from datetime import datetime
timeformat = '%Y-%m-%d %H.%M.%S %z'
def time_to_str(time):
if isinstance(time, str):
return time
return time.strftime(timeformat)
def str_to_time(time):
if isinstance(time, str):
return date... | util.py | import json
import pickle
import logging
from os import path, makedirs
from datetime import datetime
timeformat = '%Y-%m-%d %H.%M.%S %z'
def time_to_str(time):
if isinstance(time, str):
return time
return time.strftime(timeformat)
def str_to_time(time):
if isinstance(time, str):
return date... | 0.20142 | 0.084078 |
import numpy as np
import matplotlib as mpl
import matplotlib.cm as cm
import matplotlib.pyplot as plt
def logistic(z: np.ndarray, a: float, b: float) -> np.ndarray:
""" Compute logistic function
Inputs:
a: exponential parameter
b: exponential prefactor
z: numpy array; domain
... | static/epa1316-2020/labs/lab-06/hw-solutions/exercise1.py | import numpy as np
import matplotlib as mpl
import matplotlib.cm as cm
import matplotlib.pyplot as plt
def logistic(z: np.ndarray, a: float, b: float) -> np.ndarray:
""" Compute logistic function
Inputs:
a: exponential parameter
b: exponential prefactor
z: numpy array; domain
... | 0.825132 | 0.760673 |
import argparse
import pathlib
import gym
import numpy as np
import torch as th
import matplotlib.pyplot as plt
from tqdm import tqdm
from stable_baselines3 import SAC, PPO
from ail.agents import ALGO
from ail.common.utils import set_random_seed
from ail.common.env_utils import maybe_make_env
try:
from icecream ... | scripts/evaluate_expert.py | import argparse
import pathlib
import gym
import numpy as np
import torch as th
import matplotlib.pyplot as plt
from tqdm import tqdm
from stable_baselines3 import SAC, PPO
from ail.agents import ALGO
from ail.common.utils import set_random_seed
from ail.common.env_utils import maybe_make_env
try:
from icecream ... | 0.537527 | 0.25448 |
import json
import activity
from boto.s3.connection import S3Connection
from activity_ConvertJATS import activity_ConvertJATS as ConvertJATS
"""
ScheduleDownstream.py activity
"""
class activity_ScheduleDownstream(activity.activity):
def __init__(self, settings, logger, conn=None, token=None, activity_task=Non... | activity/activity_ScheduleDownstream.py | import json
import activity
from boto.s3.connection import S3Connection
from activity_ConvertJATS import activity_ConvertJATS as ConvertJATS
"""
ScheduleDownstream.py activity
"""
class activity_ScheduleDownstream(activity.activity):
def __init__(self, settings, logger, conn=None, token=None, activity_task=Non... | 0.339171 | 0.089097 |
from scipy.spatial.distance import pdist
class DBSCAN(object):
def __init__(self, eps, min_neighbors, metric='euclidean'):
"""
A re-creation of the DBSCAN algorithm, using only scipy as a dependency.
:param eps: Epsilon, aka the distance between two points to be considered 'neighbors'.
... | DBSCAN/DBSCAN.py | from scipy.spatial.distance import pdist
class DBSCAN(object):
def __init__(self, eps, min_neighbors, metric='euclidean'):
"""
A re-creation of the DBSCAN algorithm, using only scipy as a dependency.
:param eps: Epsilon, aka the distance between two points to be considered 'neighbors'.
... | 0.93954 | 0.795618 |
# Copyright (c) Facebook, Inc. and its affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""
Models and helper classes for style-controlled generation.
"""
import random
import numpy as np
import torch
from torch import nn as nn
f... | projects/style_gen/modules.py |
# Copyright (c) Facebook, Inc. and its affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""
Models and helper classes for style-controlled generation.
"""
import random
import numpy as np
import torch
from torch import nn as nn
f... | 0.878242 | 0.299553 |
import os
import imp
import re
import codecs
protocol = imp.load_source('protocol', '../protocol.py')
nxDSCLog = imp.load_source('nxDSCLog', '../nxDSCLog.py')
LG = nxDSCLog.DSCLog
rsyslog_conf_path = '/etc/rsyslog.conf'
rsyslog_inc_conf_path = '/etc/rsyslog.d/95-omsagent.conf'
syslog_ng_conf_path = '/etc/syslog-ng/s... | Providers/Scripts/2.6x-2.7x/Scripts/nxOMSSyslog.py |
import os
import imp
import re
import codecs
protocol = imp.load_source('protocol', '../protocol.py')
nxDSCLog = imp.load_source('nxDSCLog', '../nxDSCLog.py')
LG = nxDSCLog.DSCLog
rsyslog_conf_path = '/etc/rsyslog.conf'
rsyslog_inc_conf_path = '/etc/rsyslog.d/95-omsagent.conf'
syslog_ng_conf_path = '/etc/syslog-ng/s... | 0.150778 | 0.0538 |
from __future__ import annotations
import numpy as np
import pandas as pd
from numpy.typing import DTypeLike, NDArray
from .base import Generator
class Category(Generator):
"""Recommended for string data of few different values.
Can be used to replicate, e.g. category or status. Draws values based on
th... | duper/generator/category.py | from __future__ import annotations
import numpy as np
import pandas as pd
from numpy.typing import DTypeLike, NDArray
from .base import Generator
class Category(Generator):
"""Recommended for string data of few different values.
Can be used to replicate, e.g. category or status. Draws values based on
th... | 0.955037 | 0.518241 |
from jinja2 import nodes, TemplateSyntaxError, Environment
from jinja2.ext import Extension
from jinja2.lexer import Token
def fail_template(stream, message):
raise TemplateSyntaxError(
message, stream.current.lineno, stream.name, stream.filename
)
class SqlvmExtension(Extension):
"""The SqlvmEx... | extension.py | from jinja2 import nodes, TemplateSyntaxError, Environment
from jinja2.ext import Extension
from jinja2.lexer import Token
def fail_template(stream, message):
raise TemplateSyntaxError(
message, stream.current.lineno, stream.name, stream.filename
)
class SqlvmExtension(Extension):
"""The SqlvmEx... | 0.801819 | 0.341061 |
import os
from datetime import datetime
from discord import Embed
from discord_slash.utils.manage_commands import create_option, SlashCommandOptionType
from data import get_modcases_by_user_and_guild
from helpers import get_prefix
from .infrastructure import record_usage, CommandDefinition
async def create_embed_fo... | discordbot/src/commands/cases.py | import os
from datetime import datetime
from discord import Embed
from discord_slash.utils.manage_commands import create_option, SlashCommandOptionType
from data import get_modcases_by_user_and_guild
from helpers import get_prefix
from .infrastructure import record_usage, CommandDefinition
async def create_embed_fo... | 0.192919 | 0.09611 |
import sys
import os
from ctypes import Structure, c_int32, c_int, c_char_p,\
create_string_buffer, memmove,\
c_void_p, POINTER, byref, c_double, cdll
from ctypes.util import find_library
from kivy.core.image import ImageData
from kivy.graphics.texture import Texture
current_dir =... | kivyic/working/pdfwidget.py | import sys
import os
from ctypes import Structure, c_int32, c_int, c_char_p,\
create_string_buffer, memmove,\
c_void_p, POINTER, byref, c_double, cdll
from ctypes.util import find_library
from kivy.core.image import ImageData
from kivy.graphics.texture import Texture
current_dir =... | 0.313735 | 0.114121 |
import unittest
from hamcrest.library.text.isequal_ignoring_whitespace import *
from hamcrest_unit_test.matcher_test import MatcherTest
__author__ = "<NAME>"
__copyright__ = "Copyright 2011 hamcrest.org"
__license__ = "BSD, see License.txt"
matcher = equal_to_ignoring_whitespace("Hello World how\n are we? ")
cl... | tests/hamcrest_unit_test/text/isequal_ignoring_whitespace_test.py | import unittest
from hamcrest.library.text.isequal_ignoring_whitespace import *
from hamcrest_unit_test.matcher_test import MatcherTest
__author__ = "<NAME>"
__copyright__ = "Copyright 2011 hamcrest.org"
__license__ = "BSD, see License.txt"
matcher = equal_to_ignoring_whitespace("Hello World how\n are we? ")
cl... | 0.603231 | 0.619586 |
"""Tests for accela_records.py"""
import os
import json
import pytest
from falcon import testing
import service.microservice
CLIENT_HEADERS = {
"ACCESS_KEY": "1234567"
}
@pytest.fixture()
def client():
""" client fixture """
CLIENT_HEADERS['ACCESS_KEY'] = os.environ.get('ACCESS_KEY')
CLIENT_HEADERS['X... | tests/test_accela_records_update.py | """Tests for accela_records.py"""
import os
import json
import pytest
from falcon import testing
import service.microservice
CLIENT_HEADERS = {
"ACCESS_KEY": "1234567"
}
@pytest.fixture()
def client():
""" client fixture """
CLIENT_HEADERS['ACCESS_KEY'] = os.environ.get('ACCESS_KEY')
CLIENT_HEADERS['X... | 0.392919 | 0.232964 |
import time
from multiprocessing import Queue, Process, cpu_count
from typing import Iterator
def pick_student(stu_queue: Queue, dorm: str, num_workers: int) -> Iterator[str]:
print("pick_student: started")
picked_num = 0
with open(dorm, "rt", encoding="utf8") as fin:
for student in fin:
... | m4_multi_process_workers.py | import time
from multiprocessing import Queue, Process, cpu_count
from typing import Iterator
def pick_student(stu_queue: Queue, dorm: str, num_workers: int) -> Iterator[str]:
print("pick_student: started")
picked_num = 0
with open(dorm, "rt", encoding="utf8") as fin:
for student in fin:
... | 0.387343 | 0.151938 |
import os
from functools import partial
from typing import NamedTuple
from datetime import datetime
os.environ["XLA_PYTHON_CLIENT_MEM_FRACTION"] = "0.7"
import jax
import optax
import haiku as hk
import jax.numpy as jnp
from tqdm import tqdm
# fmt: off
import tensorflow as tf
tf.config.set_visible_devices([], "GPU")... | baseline.py | import os
from functools import partial
from typing import NamedTuple
from datetime import datetime
os.environ["XLA_PYTHON_CLIENT_MEM_FRACTION"] = "0.7"
import jax
import optax
import haiku as hk
import jax.numpy as jnp
from tqdm import tqdm
# fmt: off
import tensorflow as tf
tf.config.set_visible_devices([], "GPU")... | 0.777427 | 0.270327 |
import subprocess
import sys
import json
import requests
import json
import config
from tests.utils import *
# DEFAULTS
request_timeout = config.http_request_timeout
useragent = config.useragent
css_review_group_errors = config.css_review_group_errors
review_show_improvements_only = config.review_show_improvements_onl... | tests/w3c_base.py | import subprocess
import sys
import json
import requests
import json
import config
from tests.utils import *
# DEFAULTS
request_timeout = config.http_request_timeout
useragent = config.useragent
css_review_group_errors = config.css_review_group_errors
review_show_improvements_only = config.review_show_improvements_onl... | 0.076987 | 0.095265 |
import argparse
import json
import os
import subprocess
import tempfile
import zipfile
from pathlib import Path
import cog
import kaldiio
import numpy as np
import pyworld as pw
import resampy
import soundfile as sf
import torch
from model_decoder import Decoder_ac
from model_encoder import Encoder, Encoder_lf0
from ... | predict.py | import argparse
import json
import os
import subprocess
import tempfile
import zipfile
from pathlib import Path
import cog
import kaldiio
import numpy as np
import pyworld as pw
import resampy
import soundfile as sf
import torch
from model_decoder import Decoder_ac
from model_encoder import Encoder, Encoder_lf0
from ... | 0.501709 | 0.210949 |
import pandas as pd
from django.db.models import F
from flaim.database import models
class ReportData:
def __init__(self):
self.df = self._get_data()
def _get_data(self):
products = models.Product
nutrition_facts = models.NutritionFacts
df1 = pd.DataFrame(list(products.object... | flaim/reports/data.py | import pandas as pd
from django.db.models import F
from flaim.database import models
class ReportData:
def __init__(self):
self.df = self._get_data()
def _get_data(self):
products = models.Product
nutrition_facts = models.NutritionFacts
df1 = pd.DataFrame(list(products.object... | 0.366023 | 0.112405 |
import sqlite3
import glob
import sys
import shutil
# Set documentation directory and docset name
if len(sys.argv) == 3:
docname = sys.argv[1]
docsdir = sys.argv[2]
else:
print("You must enter exactly two arguments: name of the docset to create and relative or absolute path to the directory where ROBODoc ... | robodocset.py |
import sqlite3
import glob
import sys
import shutil
# Set documentation directory and docset name
if len(sys.argv) == 3:
docname = sys.argv[1]
docsdir = sys.argv[2]
else:
print("You must enter exactly two arguments: name of the docset to create and relative or absolute path to the directory where ROBODoc ... | 0.145813 | 0.156878 |
import pathlib
import subprocess
import time
import os
import sys
import argparse
import logging
import threading
from services import registry
logging.basicConfig(level=10, format="%(asctime)s - [%(levelname)8s] - %(name)s - %(message)s")
log = logging.getLogger("run_basic_service")
def main():
parser = argpar... | Services/JSON-RPC/Basic_Template/run_basic_services.py | import pathlib
import subprocess
import time
import os
import sys
import argparse
import logging
import threading
from services import registry
logging.basicConfig(level=10, format="%(asctime)s - [%(levelname)8s] - %(name)s - %(message)s")
log = logging.getLogger("run_basic_service")
def main():
parser = argpar... | 0.259732 | 0.064594 |
import logging
import time
import ccxt
from dynaconf import settings
from liqui import Liqui
from binance.client import Client
from strategies.analyser import Analyser
logger = logging.getLogger(__name__)
class Order:
def __init__(self, market, id, type, start_amount, remaining_amount, price, status):
se... | strategies/trader.py | import logging
import time
import ccxt
from dynaconf import settings
from liqui import Liqui
from binance.client import Client
from strategies.analyser import Analyser
logger = logging.getLogger(__name__)
class Order:
def __init__(self, market, id, type, start_amount, remaining_amount, price, status):
se... | 0.539954 | 0.16944 |
import json
import xml.etree.ElementTree as ET
from cafe.engine.models.base import \
AutoMarshallingModel, AutoMarshallingListModel
from cloudcafe.networking.lbaas.common.constants import Constants
from cloudcafe.networking.lbaas.lbaas_api.session_persistence.response \
import SessionPersistence
class Pools(... | cloudcafe/networking/lbaas/lbaas_api/pool/response.py | import json
import xml.etree.ElementTree as ET
from cafe.engine.models.base import \
AutoMarshallingModel, AutoMarshallingListModel
from cloudcafe.networking.lbaas.common.constants import Constants
from cloudcafe.networking.lbaas.lbaas_api.session_persistence.response \
import SessionPersistence
class Pools(... | 0.603581 | 0.138666 |
from django.db import models
from django.contrib.contenttypes.fields import GenericForeignKey
from django.contrib.contenttypes.models import ContentType
class TransferRecord(models.Model):
original_type = models.ForeignKey(
ContentType, related_name='transfer', on_delete=models.DO_NOTHING)
original_id... | Seeder/legacy_db/models.py | from django.db import models
from django.contrib.contenttypes.fields import GenericForeignKey
from django.contrib.contenttypes.models import ContentType
class TransferRecord(models.Model):
original_type = models.ForeignKey(
ContentType, related_name='transfer', on_delete=models.DO_NOTHING)
original_id... | 0.623606 | 0.213439 |
from numpy import conjugate, transpose, dot, sqrt, array, repeat
from WaveBlocksND.Observables import Observables
__all__ = ["ObservablesLCWP"]
class ObservablesLCWP(Observables):
r"""This class implements observable computation for linear combinations :math:`\Upsilon`
of wavepackets :math:`\Psi_j`. There a... | WaveBlocksND/ObservablesLCWP.py | from numpy import conjugate, transpose, dot, sqrt, array, repeat
from WaveBlocksND.Observables import Observables
__all__ = ["ObservablesLCWP"]
class ObservablesLCWP(Observables):
r"""This class implements observable computation for linear combinations :math:`\Upsilon`
of wavepackets :math:`\Psi_j`. There a... | 0.928591 | 0.757077 |
import signal
import logging
import os
import shutil
import csv
import json
import datetime
import pickle
import gensim
from django.core.management.base import BaseCommand, CommandError
from django.conf import settings
from rdflib.namespace import split_uri
from os import listdir
from os.path import isfile, join, sp... | api/management/commands/traindl2vec.py | import signal
import logging
import os
import shutil
import csv
import json
import datetime
import pickle
import gensim
from django.core.management.base import BaseCommand, CommandError
from django.conf import settings
from rdflib.namespace import split_uri
from os import listdir
from os.path import isfile, join, sp... | 0.260295 | 0.08472 |
import socket
import struct
import codecs,sys
import threading
import random
import time
import os
##===##=== LOGIN
password ="<PASSWORD>"
for i in range(3):
pwd = input("[•] Password : ")
j=3
if(pwd==password):
time.sleep(5)
print("[•] Please Wait!!! ")
break
... | B-TEAM.py | import socket
import struct
import codecs,sys
import threading
import random
import time
import os
##===##=== LOGIN
password ="<PASSWORD>"
for i in range(3):
pwd = input("[•] Password : ")
j=3
if(pwd==password):
time.sleep(5)
print("[•] Please Wait!!! ")
break
... | 0.050144 | 0.078289 |
from logging import getLogger
from pathlib import Path
from typing import Optional, Set
from recording_script_generator.app.io import *
from recording_script_generator.core.exporting import (SortingMode,
df_to_consecutive_txt,
... | src/recording_script_generator/app/exporting.py | from logging import getLogger
from pathlib import Path
from typing import Optional, Set
from recording_script_generator.app.io import *
from recording_script_generator.core.exporting import (SortingMode,
df_to_consecutive_txt,
... | 0.755096 | 0.090173 |
import asyncio
import logging
import pytz
from tabulate import tabulate
from libs.ac_libs import AcManager, help_str
logger = logging.getLogger('gradiusbot')
logger.info("[Public Plugin] <animal_crossing.py> Provides tools for the game Animal Crossing.")
DISPLAY_CHAR_LIMIT = 32
ac_manager = AcManager()
@asyncio.co... | public_plugins/animal_crossing/animal_crossing.py | import asyncio
import logging
import pytz
from tabulate import tabulate
from libs.ac_libs import AcManager, help_str
logger = logging.getLogger('gradiusbot')
logger.info("[Public Plugin] <animal_crossing.py> Provides tools for the game Animal Crossing.")
DISPLAY_CHAR_LIMIT = 32
ac_manager = AcManager()
@asyncio.co... | 0.467089 | 0.464962 |
from itertools import combinations
import numpy as np
from . strategy import Strategy
class LocalOptimisation(Strategy):
"""Implements the local optimisation algorithm using the Strategy interface
"""
def _sample(self, input_sample, num_samples,
num_params, k_choices, num_groups=None):
... | src/SALib/sample/morris/local.py | from itertools import combinations
import numpy as np
from . strategy import Strategy
class LocalOptimisation(Strategy):
"""Implements the local optimisation algorithm using the Strategy interface
"""
def _sample(self, input_sample, num_samples,
num_params, k_choices, num_groups=None):
... | 0.837885 | 0.645427 |
from __future__ import absolute_import
from __future__ import print_function
from __future__ import division
import warnings
from tensorforce import TensorForceError
from tensorforce.agents import MemoryAgent
from tensorforce.models import QModel
class DDQNAgent(MemoryAgent):
"""
Double DQN Agent based on [... | tensorforce/agents/ddqn_agent.py |
from __future__ import absolute_import
from __future__ import print_function
from __future__ import division
import warnings
from tensorforce import TensorForceError
from tensorforce.agents import MemoryAgent
from tensorforce.models import QModel
class DDQNAgent(MemoryAgent):
"""
Double DQN Agent based on [... | 0.835484 | 0.233008 |
""" Fast digest handlers """
from datetime import datetime
import itertools
from werkzeug import exceptions
from google.appengine.api import mail
from ggrc import db
from ggrc import rbac
from ggrc import settings
from ggrc.notifications import common
from ggrc.notifications import data_handlers
from ggrc.notifica... | src/ggrc/notifications/fast_digest.py |
""" Fast digest handlers """
from datetime import datetime
import itertools
from werkzeug import exceptions
from google.appengine.api import mail
from ggrc import db
from ggrc import rbac
from ggrc import settings
from ggrc.notifications import common
from ggrc.notifications import data_handlers
from ggrc.notifica... | 0.489259 | 0.107437 |
from osmnx import graph_from_bbox, graph_to_gdfs
from osmnx.distance import nearest_nodes, add_edge_lengths
from osmnx.utils_graph import remove_isolated_nodes
from geopandas import GeoDataFrame
from pandas import concat
from networkx import single_source_dijkstra_path_length
from .mask import Base
from multiprocessi... | maskmypy/street.py | from osmnx import graph_from_bbox, graph_to_gdfs
from osmnx.distance import nearest_nodes, add_edge_lengths
from osmnx.utils_graph import remove_isolated_nodes
from geopandas import GeoDataFrame
from pandas import concat
from networkx import single_source_dijkstra_path_length
from .mask import Base
from multiprocessi... | 0.492676 | 0.335841 |
import sys
sys.path.append("../../Cleaner")
import sqlite3
import cleaner
import logging, threading
class Sqlite3Manger:
def __init__(self, sqlite_file, commit_period=50):
self.conn = sqlite3.connect(sqlite_file)
self.logger = logging.getLogger(__name__)
self.lock = threading.Lock()
... | Scraper/src/sql_db_manager.py | import sys
sys.path.append("../../Cleaner")
import sqlite3
import cleaner
import logging, threading
class Sqlite3Manger:
def __init__(self, sqlite_file, commit_period=50):
self.conn = sqlite3.connect(sqlite_file)
self.logger = logging.getLogger(__name__)
self.lock = threading.Lock()
... | 0.248899 | 0.118768 |
import collections
from typing import Dict, List, Set
INPUT_FILE = 'data/day_07.txt'
def bags_colors_contained(contained: List[str], color: str) -> Set[str]:
"""Determine bags colors that can contain a bag of a color."""
bags = set()
if color in contained:
for contained_bag in contained[color]:
... | advent_of_code/2020/day_07.py | import collections
from typing import Dict, List, Set
INPUT_FILE = 'data/day_07.txt'
def bags_colors_contained(contained: List[str], color: str) -> Set[str]:
"""Determine bags colors that can contain a bag of a color."""
bags = set()
if color in contained:
for contained_bag in contained[color]:
... | 0.769946 | 0.333883 |
from copy import deepcopy
from functools import partial
from slm_lab.agent import net, memory
from slm_lab.agent.algorithm import math_util, policy_util
from slm_lab.agent.algorithm.actor_critic import ActorCritic
from slm_lab.agent.net import net_util
from slm_lab.lib import logger, util
from slm_lab.lib.decorator imp... | slm_lab/agent/algorithm/sil.py | from copy import deepcopy
from functools import partial
from slm_lab.agent import net, memory
from slm_lab.agent.algorithm import math_util, policy_util
from slm_lab.agent.algorithm.actor_critic import ActorCritic
from slm_lab.agent.net import net_util
from slm_lab.lib import logger, util
from slm_lab.lib.decorator imp... | 0.852844 | 0.226302 |
from __future__ import absolute_import
__author__ = 'katharine'
import socket
import struct
import websocket
from .. import BaseTransport, MessageTarget, MessageTargetWatch
from .protocol import WebSocketRelayToWatch, WebSocketRelayFromWatch, endpoints, from_watch
from libpebble2.exceptions import ConnectionError, P... | libpebble2/communication/transports/websocket/__init__.py | from __future__ import absolute_import
__author__ = 'katharine'
import socket
import struct
import websocket
from .. import BaseTransport, MessageTarget, MessageTargetWatch
from .protocol import WebSocketRelayToWatch, WebSocketRelayFromWatch, endpoints, from_watch
from libpebble2.exceptions import ConnectionError, P... | 0.662032 | 0.10961 |
from unittest import mock
import pytest
from snakeoil.process import CommandNotFound
from pkgcore.sync import base, cvs
class TestCVSSyncer(object):
@pytest.fixture(autouse=True)
def _setup(self, tmp_path):
self.repo_path = tmp_path / 'repo'
def test_uri_parse(self):
# external binary... | tests/module/sync/test_cvs.py |
from unittest import mock
import pytest
from snakeoil.process import CommandNotFound
from pkgcore.sync import base, cvs
class TestCVSSyncer(object):
@pytest.fixture(autouse=True)
def _setup(self, tmp_path):
self.repo_path = tmp_path / 'repo'
def test_uri_parse(self):
# external binary... | 0.494141 | 0.36659 |
import re
import pickle
from collections import defaultdict
import discord
import ladder_manager_base as base
from ladder_manager_base import DirectedMessage
from ladder_manager_base import Team
class InvalidUserInput(Exception):
"""Called when the user input is invalid."""
pass
class Challe... | ladder_manager_challenges.py | import re
import pickle
from collections import defaultdict
import discord
import ladder_manager_base as base
from ladder_manager_base import DirectedMessage
from ladder_manager_base import Team
class InvalidUserInput(Exception):
"""Called when the user input is invalid."""
pass
class Challe... | 0.67694 | 0.162746 |
from typing import Optional, Type
from sqlalchemy.orm import Session, Query, exc
from sqlalchemy.ext.declarative import DeclarativeMeta
from entity_framework.repository import EntityType, IdentityType
from entity_framework.storages.sqlalchemy.populating_aggregates.visitor import PopulatingAggregateVisitor
from entity... | entity_framework/storages/sqlalchemy/__init__.py | from typing import Optional, Type
from sqlalchemy.orm import Session, Query, exc
from sqlalchemy.ext.declarative import DeclarativeMeta
from entity_framework.repository import EntityType, IdentityType
from entity_framework.storages.sqlalchemy.populating_aggregates.visitor import PopulatingAggregateVisitor
from entity... | 0.690663 | 0.302262 |
# In[656]:
from pypinyin import pinyin, lazy_pinyin, Style
import sys
import math
import itertools
import pickle
import os
'''
@liushaohua
本更改仅限个人使用，仅仅使用编码方式，对拼音进行一个统一编码
'''
# In[657]:
work_dir = os.path.abspath(__file__)
indexOfLastSlash = work_dir.rfind("/")
work_dir = work_dir[0:indexOfLastSlash]+"/"... | code/dimsim/build/lib/dimsim/dimsim.py |
# In[656]:
from pypinyin import pinyin, lazy_pinyin, Style
import sys
import math
import itertools
import pickle
import os
'''
@liushaohua
本更改仅限个人使用，仅仅使用编码方式，对拼音进行一个统一编码
'''
# In[657]:
work_dir = os.path.abspath(__file__)
indexOfLastSlash = work_dir.rfind("/")
work_dir = work_dir[0:indexOfLastSlash]+"/"... | 0.163713 | 0.234549 |
from base64 import b64encode
from enum import IntEnum
from typing import Tuple
import requests
from iolite_client.exceptions import IOLiteError
class Temperature:
BASE_TEMP = 14
MAX_TEMP = 30
@staticmethod
def within_range(temperature: float) -> bool:
return Temperature.BASE_TEMP <= tempera... | iolite_client/heating_scheduler.py | from base64 import b64encode
from enum import IntEnum
from typing import Tuple
import requests
from iolite_client.exceptions import IOLiteError
class Temperature:
BASE_TEMP = 14
MAX_TEMP = 30
@staticmethod
def within_range(temperature: float) -> bool:
return Temperature.BASE_TEMP <= tempera... | 0.943001 | 0.33062 |
from __future__ import annotations
from abc import ABC, abstractmethod
from typing import Callable, Generic, TypeVar
import gpflow
import tensorflow as tf
from typing_extensions import Protocol, runtime_checkable
from ..data import Dataset
from ..types import TensorType
from ..utils import DEFAULTS
ProbabilisticMo... | trieste/models/interfaces.py |
from __future__ import annotations
from abc import ABC, abstractmethod
from typing import Callable, Generic, TypeVar
import gpflow
import tensorflow as tf
from typing_extensions import Protocol, runtime_checkable
from ..data import Dataset
from ..types import TensorType
from ..utils import DEFAULTS
ProbabilisticMo... | 0.972402 | 0.718594 |