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 stepwise, appcli, autoprop
from inform import warn
from appcli import Key, Method, DocoptConfig
from stepwise import StepwiseConfig, PresetConfig, Quantity, oxford_comma
from stepwise_mol_bio import Cleanup, format_sec
from freezerbox import MakerConfig, group_by_identity, parse_volume_uL, unanimous
from more_i... | stepwise_mol_bio/spin_cleanup.py |
import stepwise, appcli, autoprop
from inform import warn
from appcli import Key, Method, DocoptConfig
from stepwise import StepwiseConfig, PresetConfig, Quantity, oxford_comma
from stepwise_mol_bio import Cleanup, format_sec
from freezerbox import MakerConfig, group_by_identity, parse_volume_uL, unanimous
from more_i... | 0.757256 | 0.427755 |
from invenio_indexer.api import RecordIndexer
from invenio_records_rest.utils import allow_all
from .api import Loan
from .links import loan_links_factory
from .search import LoansSearch
from .transitions.transitions import CreatedToItemOnLoan, CreatedToPending, \
ItemAtDeskToItemOnLoan, ItemInTransitHouseToItemRe... | invenio_circulation/config.py | from invenio_indexer.api import RecordIndexer
from invenio_records_rest.utils import allow_all
from .api import Loan
from .links import loan_links_factory
from .search import LoansSearch
from .transitions.transitions import CreatedToItemOnLoan, CreatedToPending, \
ItemAtDeskToItemOnLoan, ItemInTransitHouseToItemRe... | 0.642432 | 0.086825 |
import socket
import os
import sys
import threading
from select import select
from pasync._compat import (
Empty, Full, iteritems, BytesIO, recv, b, byte_to_chr,
nativerstr
)
from pasync._compat import LifoQueue, Queue
from pasync.hooks import task_callback_hook
from pasync.exceptions import (
PAsyncError... | pasync/connection.py |
import socket
import os
import sys
import threading
from select import select
from pasync._compat import (
Empty, Full, iteritems, BytesIO, recv, b, byte_to_chr,
nativerstr
)
from pasync._compat import LifoQueue, Queue
from pasync.hooks import task_callback_hook
from pasync.exceptions import (
PAsyncError... | 0.45423 | 0.079639 |
from keras.preprocessing.image import load_img
from keras.preprocessing.image import img_to_array
from keras.preprocessing.image import array_to_img
from tensorflow import keras
from tensorflow.keras.preprocessing import image_dataset_from_directory
from keras.callbacks import TensorBoard
from time import time
i... | train_model/train_score_model.py | from keras.preprocessing.image import load_img
from keras.preprocessing.image import img_to_array
from keras.preprocessing.image import array_to_img
from tensorflow import keras
from tensorflow.keras.preprocessing import image_dataset_from_directory
from keras.callbacks import TensorBoard
from time import time
i... | 0.702632 | 0.370823 |
from django.contrib.admin import RelatedFieldListFilter, ChoicesFieldListFilter
from django.contrib.admin.util import get_model_from_relation
from django.utils.encoding import smart_text
from client_admin.utils import get_admin_change_url
class LookupFilter(RelatedFieldListFilter):
template = "admin/lookup_fil... | client_admin/filters.py |
from django.contrib.admin import RelatedFieldListFilter, ChoicesFieldListFilter
from django.contrib.admin.util import get_model_from_relation
from django.utils.encoding import smart_text
from client_admin.utils import get_admin_change_url
class LookupFilter(RelatedFieldListFilter):
template = "admin/lookup_fil... | 0.319334 | 0.078642 |
import bs4
import csv
import requests
import re
import time
from selenium import webdriver
from selenium.webdriver.firefox.options import Options
class Steam:
def __init__(self, driver):
"""Declare values needed for the class.
Args:
driver (class): Firefox webdriver
"""
... | main.py | import bs4
import csv
import requests
import re
import time
from selenium import webdriver
from selenium.webdriver.firefox.options import Options
class Steam:
def __init__(self, driver):
"""Declare values needed for the class.
Args:
driver (class): Firefox webdriver
"""
... | 0.666605 | 0.159283 |
import socket
import threading
import socketserver
import pytest
from src import nuke_tools
LOCALHOST = '127.0.0.1'
with socketserver.TCPServer((LOCALHOST, 0), None) as s:
FREE_PORT = s.server_address[1]
def socket_server():
"""Create a Server that listen for incoming requests."""
_socket = socket.soc... | tests/test_tcp.py | import socket
import threading
import socketserver
import pytest
from src import nuke_tools
LOCALHOST = '127.0.0.1'
with socketserver.TCPServer((LOCALHOST, 0), None) as s:
FREE_PORT = s.server_address[1]
def socket_server():
"""Create a Server that listen for incoming requests."""
_socket = socket.soc... | 0.493897 | 0.178025 |
import pathlib
import csv
# Path to collect data from the folder
budget_csv = pathlib.Path('Resources/budget_data.csv')
pathout = pathlib.Path("Resources/Bank Analysis")
# Variable Track
total_months = 0
total_revenue = 0
prev_revenue = 0
revenue_change = 0
greatest_increase = [",", 0]
greatest_decrease = ["", 999999... | Python Bank Data and Poll Data/Bank.py | import pathlib
import csv
# Path to collect data from the folder
budget_csv = pathlib.Path('Resources/budget_data.csv')
pathout = pathlib.Path("Resources/Bank Analysis")
# Variable Track
total_months = 0
total_revenue = 0
prev_revenue = 0
revenue_change = 0
greatest_increase = [",", 0]
greatest_decrease = ["", 999999... | 0.13041 | 0.169922 |
import os
import sys
import numpy as np
import subprocess
import pickle
import argparse
#updating
def setup():
"""Get cmds and setup directories."""
cmdparser = argparse.ArgumentParser(description='convert kaldi PCA transform and mean into pickle format',
formatter_clas... | services/convert_kaldi_to_pkl.py | import os
import sys
import numpy as np
import subprocess
import pickle
import argparse
#updating
def setup():
"""Get cmds and setup directories."""
cmdparser = argparse.ArgumentParser(description='convert kaldi PCA transform and mean into pickle format',
formatter_clas... | 0.264168 | 0.135261 |
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
("attribute", "0009_auto_20210421_0552"),
]
operations = [
migrations.AddField(
model_name="attribute",
name="unit",
field=models.CharField(
... | saleor/attribute/migrations/0010_auto_20210412_0736.py | from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
("attribute", "0009_auto_20210421_0552"),
]
operations = [
migrations.AddField(
model_name="attribute",
name="unit",
field=models.CharField(
... | 0.584153 | 0.242452 |
from __future__ import print_function
import subprocess
import platform
import sys
import os
from docopt import docopt
active_platform = platform.system()
is_windows = active_platform.lower() == 'windows'
all_packages_list = ['pathlib', 'assimp', 'cyassimp', 'glew', 'glfw3', 'cyrasterize',
'menp... | build.py | from __future__ import print_function
import subprocess
import platform
import sys
import os
from docopt import docopt
active_platform = platform.system()
is_windows = active_platform.lower() == 'windows'
all_packages_list = ['pathlib', 'assimp', 'cyassimp', 'glew', 'glfw3', 'cyrasterize',
'menp... | 0.298901 | 0.088269 |
import asyncio
from lbry.testcase import CommandTestCase
from binascii import unhexlify
class WalletSynchronization(CommandTestCase):
SEED = "carbon smart garage balance margin twelve chest sword toast envelope bottom stomach absent"
async def test_sync(self):
daemon = self.daemon
daemon2 = a... | lbry/tests/integration/test_sync.py | import asyncio
from lbry.testcase import CommandTestCase
from binascii import unhexlify
class WalletSynchronization(CommandTestCase):
SEED = "carbon smart garage balance margin twelve chest sword toast envelope bottom stomach absent"
async def test_sync(self):
daemon = self.daemon
daemon2 = a... | 0.461259 | 0.345768 |
import numpy as np
from PIL import Image
def shuffle_weights(model, weights=None):
"""Randomly permute the weights in `model`, or the given `weights`.
This is a fast approximation of re-initializing the weights of a model.
Assumes weights are distributed independently of the dimensions of the weight tens... | utils.py | import numpy as np
from PIL import Image
def shuffle_weights(model, weights=None):
"""Randomly permute the weights in `model`, or the given `weights`.
This is a fast approximation of re-initializing the weights of a model.
Assumes weights are distributed independently of the dimensions of the weight tens... | 0.86757 | 0.777152 |
from collections import OrderedDict
from conans.model.conanfile_interface import ConanFileInterface
from conans.model.ref import ConanFileReference
class Requirement(object):
def __init__(self, ref, build=False, direct=True, test=False, visible=True):
# By default this is a generic library requirement
... | conans/model/dependencies.py | from collections import OrderedDict
from conans.model.conanfile_interface import ConanFileInterface
from conans.model.ref import ConanFileReference
class Requirement(object):
def __init__(self, ref, build=False, direct=True, test=False, visible=True):
# By default this is a generic library requirement
... | 0.645455 | 0.270956 |
revision = '441441c32014'
down_revision = '<KEY>'
from alembic import op
import sqlalchemy as sa
# Categories to be removed in upgrade
LISTED_BUILDING_CPC = 'Listed building conditional planning consent'
# Categories to be reordered in upgrade
LISTED_BUILDING = 'Listed building'
ENFORCEMENT_NOTICE = 'Enforcement no... | migrations/versions/441441c32014_modify_charge_categories.py | revision = '441441c32014'
down_revision = '<KEY>'
from alembic import op
import sqlalchemy as sa
# Categories to be removed in upgrade
LISTED_BUILDING_CPC = 'Listed building conditional planning consent'
# Categories to be reordered in upgrade
LISTED_BUILDING = 'Listed building'
ENFORCEMENT_NOTICE = 'Enforcement no... | 0.178347 | 0.085901 |
from __future__ import unicode_literals
from . import six
if six.PY3:
basestring = str
long = int
xrange = range
unicode = str
#Undefined
class PyJsUndefined(object):
TYPE = 'Undefined'
Class = 'Undefined'
undefined = PyJsUndefined()
#Null
class PyJsNull(object):
TYPE = 'Null'
Class... | resources/lib/js2py/internals/simplex.py | from __future__ import unicode_literals
from . import six
if six.PY3:
basestring = str
long = int
xrange = range
unicode = str
#Undefined
class PyJsUndefined(object):
TYPE = 'Undefined'
Class = 'Undefined'
undefined = PyJsUndefined()
#Null
class PyJsNull(object):
TYPE = 'Null'
Class... | 0.508788 | 0.206754 |
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero General Public License as
# published by the Free Software Foundation, either version 3 of the
# License, or (at your option) any later version.
# This program is distributed in the hope that it will be usefu... | tools/nntool/execution/kernels/quant/matrix_operations.py |
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero General Public License as
# published by the Free Software Foundation, either version 3 of the
# License, or (at your option) any later version.
# This program is distributed in the hope that it will be usefu... | 0.71889 | 0.266399 |
import sys
import argparse
from ruamel.yaml import YAML
from pathlib import Path
from jinja2 import Template
TEMPLATE_DIR = "templates"
DOCKER_DIR = "docker"
CONFIG_FILE = "cfg.yaml"
def parse_args(*args) -> argparse.Namespace:
parser = argparse.ArgumentParser(
description="Update the workflow and dock... | tests/gen.py | import sys
import argparse
from ruamel.yaml import YAML
from pathlib import Path
from jinja2 import Template
TEMPLATE_DIR = "templates"
DOCKER_DIR = "docker"
CONFIG_FILE = "cfg.yaml"
def parse_args(*args) -> argparse.Namespace:
parser = argparse.ArgumentParser(
description="Update the workflow and dock... | 0.260013 | 0.162712 |
import sys
from utilities import *
from ops import *
VERBOSE = "*reidentification_verbose.json"
def dispatcher(indir):
token_locations = {}
tpPerBrowser = {}; tpPerBrowser_perCrawl = {}
alexa_tpPerBrowser = {}; alexa_tpPerBrowser_perCrawl = {}
tw_tpPerBrowser = {}; tw_tpPerBrowser_perCrawl = {}
tw_token_locatio... | measurements-scripts/measurements.py |
import sys
from utilities import *
from ops import *
VERBOSE = "*reidentification_verbose.json"
def dispatcher(indir):
token_locations = {}
tpPerBrowser = {}; tpPerBrowser_perCrawl = {}
alexa_tpPerBrowser = {}; alexa_tpPerBrowser_perCrawl = {}
tw_tpPerBrowser = {}; tw_tpPerBrowser_perCrawl = {}
tw_token_locatio... | 0.104323 | 0.078466 |
import pytest
import math
from timeit import timeit
import time
from astropy import units as u
from pocs.filterwheel.simulator import FilterWheel as SimFilterWheel
from pocs.camera.simulator import Camera as SimCamera
from pocs.utils import error
@pytest.fixture(scope='module')
def filterwheel():
sim_filterwhee... | pocs/tests/test_filterwheel.py | import pytest
import math
from timeit import timeit
import time
from astropy import units as u
from pocs.filterwheel.simulator import FilterWheel as SimFilterWheel
from pocs.camera.simulator import Camera as SimCamera
from pocs.utils import error
@pytest.fixture(scope='module')
def filterwheel():
sim_filterwhee... | 0.67662 | 0.683756 |
from collections import defaultdict
from typing import List, Set, Dict
from overrides import overrides
import torch
from allennlp.nn.decoding import DecoderState, DecoderStep
class SimpleDecoderState(DecoderState['SimpleDecoderState']):
def __init__(self,
batch_indices: List[int],
... | tests/nn/decoding/simple_transition_system.py | from collections import defaultdict
from typing import List, Set, Dict
from overrides import overrides
import torch
from allennlp.nn.decoding import DecoderState, DecoderStep
class SimpleDecoderState(DecoderState['SimpleDecoderState']):
def __init__(self,
batch_indices: List[int],
... | 0.876555 | 0.529932 |
"""Client and server classes corresponding to protobuf-defined services."""
import grpc
from ydb.public.api.protos import ydb_operation_pb2 as ydb_dot_public_dot_api_dot_protos_dot_ydb__operation__pb2
class OperationServiceStub(object):
"""All rpc calls to YDB are allowed to be asynchronous. Response message
... | ydb/public/api/grpc/ydb_operation_v1_pb2_grpc.py | """Client and server classes corresponding to protobuf-defined services."""
import grpc
from ydb.public.api.protos import ydb_operation_pb2 as ydb_dot_public_dot_api_dot_protos_dot_ydb__operation__pb2
class OperationServiceStub(object):
"""All rpc calls to YDB are allowed to be asynchronous. Response message
... | 0.727007 | 0.130784 |
from objects.modulebase import ModuleBase
from objects.permissions import PermissionEmbedLinks
from objects.paginators import Paginator
from discord import Embed, Colour
import aiohttp
import random
import json
from bs4 import BeautifulSoup
BASE_URL = 'https://www.google.com/search?'
USERAGENTS = (
'Mozilla/5... | modules/apis/module_img.py | from objects.modulebase import ModuleBase
from objects.permissions import PermissionEmbedLinks
from objects.paginators import Paginator
from discord import Embed, Colour
import aiohttp
import random
import json
from bs4 import BeautifulSoup
BASE_URL = 'https://www.google.com/search?'
USERAGENTS = (
'Mozilla/5... | 0.343122 | 0.151122 |
from string import Template
import models
def index(app, environ, start_response):
# ...
return app.render('index.html',start_response=start_response)
def stat(app, environ, start_response):
tmplRow = '''
<tr>
<td style="text-align: center;">${region_id}</td>
<td style="text-align: c... | images/frontface/src/views.py | from string import Template
import models
def index(app, environ, start_response):
# ...
return app.render('index.html',start_response=start_response)
def stat(app, environ, start_response):
tmplRow = '''
<tr>
<td style="text-align: center;">${region_id}</td>
<td style="text-align: c... | 0.149004 | 0.140661 |
from reactors.runtime import Reactor
import datetime
import simplejson as json
import os
import requests
import shutil
import time
def slack_notify(message, reactor):
if reactor.settings.get('workflow', {}).get('notify', True):
try:
reactor.client.actors.sendMessage(
actorId=re... | reactor.py | from reactors.runtime import Reactor
import datetime
import simplejson as json
import os
import requests
import shutil
import time
def slack_notify(message, reactor):
if reactor.settings.get('workflow', {}).get('notify', True):
try:
reactor.client.actors.sendMessage(
actorId=re... | 0.433022 | 0.086825 |
import f
from utilities import io_worker as iw
from googleapiclient.discovery import build
import setting as st
from collections import defaultdict
class Google(object):
def __init__(self):
self.DEV_KEY = "YOUR KEY :) I do not forget to hide this"
self.APP_KEY = "YOUR KEY :) I do not forget to hid... | api/lookup/m_google.py | import f
from utilities import io_worker as iw
from googleapiclient.discovery import build
import setting as st
from collections import defaultdict
class Google(object):
def __init__(self):
self.DEV_KEY = "YOUR KEY :) I do not forget to hide this"
self.APP_KEY = "YOUR KEY :) I do not forget to hid... | 0.154759 | 0.072341 |
__all__ = ['extract']
from array import array
from functools import partial
from collections import namedtuple
from ghidra.program.model.pcode import PcodeOpAST, VarnodeAST, SequenceNumber
from ghidra.program.model.address import Address, AddressSpace
def extract(obj):
if obj == None: return None
typ = type... | ghidra_scripts/extraction.py | __all__ = ['extract']
from array import array
from functools import partial
from collections import namedtuple
from ghidra.program.model.pcode import PcodeOpAST, VarnodeAST, SequenceNumber
from ghidra.program.model.address import Address, AddressSpace
def extract(obj):
if obj == None: return None
typ = type... | 0.487551 | 0.189896 |
import logging
import jwt
from structlog import wrap_logger
from flask import current_app
from itsdangerous import URLSafeTimedSerializer
from werkzeug.exceptions import InternalServerError
from response_operations_ui.common.uaa import get_uaa_public_key
logger = wrap_logger(logging.getLogger(__name__))
def decod... | response_operations_ui/common/token_decoder.py | import logging
import jwt
from structlog import wrap_logger
from flask import current_app
from itsdangerous import URLSafeTimedSerializer
from werkzeug.exceptions import InternalServerError
from response_operations_ui.common.uaa import get_uaa_public_key
logger = wrap_logger(logging.getLogger(__name__))
def decod... | 0.70069 | 0.08698 |
import os
import pickle
import types
from UserDict import UserDict
from mglutil.util.packageFilePath import getResourceFolderWithVersion
class UserPreference(UserDict):
"""
Class to let the user define Preferences.
a preference is made of a name, a current value, a possibly empty list
of valid values.
... | resources/mgltools_x86_64Linux2_1.5.6/MGLToolsPckgs/mglutil/preferences.py | import os
import pickle
import types
from UserDict import UserDict
from mglutil.util.packageFilePath import getResourceFolderWithVersion
class UserPreference(UserDict):
"""
Class to let the user define Preferences.
a preference is made of a name, a current value, a possibly empty list
of valid values.
... | 0.310799 | 0.243283 |
import REESMath.vector3 as V3
import REESMath.quaternion as Q
import REESMath.coordsys as C
import REESMath.matrix3 as M3
import numpy as np
class MaterialBehaviour:
def __init__(self):
self.mu = V3.ones() # Coefficients of Friction
self.epsilon = 0.0 # Coefficient of restitution
class Mate... | REESSimulation/types.py | import REESMath.vector3 as V3
import REESMath.quaternion as Q
import REESMath.coordsys as C
import REESMath.matrix3 as M3
import numpy as np
class MaterialBehaviour:
def __init__(self):
self.mu = V3.ones() # Coefficients of Friction
self.epsilon = 0.0 # Coefficient of restitution
class Mate... | 0.814201 | 0.435361 |
from a10sdk.common.A10BaseClass import A10BaseClass
class Stats(A10BaseClass):
"""This class does not support CRUD Operations please use parent.
:param ip_other_block_alloc: {"optional": true, "size": "8", "type": "number", "oid": "17", "format": "counter"}
:param entry_match_drop: {"optional": true... | a10sdk/core/cgnv6/cgnv6_ddos_protection_stats.py | from a10sdk.common.A10BaseClass import A10BaseClass
class Stats(A10BaseClass):
"""This class does not support CRUD Operations please use parent.
:param ip_other_block_alloc: {"optional": true, "size": "8", "type": "number", "oid": "17", "format": "counter"}
:param entry_match_drop: {"optional": true... | 0.825343 | 0.348451 |
class MonitoringStation:
"""This class represents a river level monitoring station"""
def __init__(self, station_id, measure_id, label, coord, typical_range,
river, town):
self.station_id = station_id
self.measure_id = measure_id
# Handle case of erroneous data where ... | floodsystem/station.py | class MonitoringStation:
"""This class represents a river level monitoring station"""
def __init__(self, station_id, measure_id, label, coord, typical_range,
river, town):
self.station_id = station_id
self.measure_id = measure_id
# Handle case of erroneous data where ... | 0.868227 | 0.582669 |
import logging
logging.info("Customizing with SlicerMorphRC.py")
# setting presets
moduleDir = os.path.dirname(slicer.util.modulePath("MorphPreferences"))
presetsScenePath = os.path.join(moduleDir, 'Resources/SM_presets.mrml')
# Read presets scene
customPresetsScene = slicer.vtkMRMLScene()
vrPropNode = sli... | MorphPreferences/Resources/SlicerMorphRC.py | import logging
logging.info("Customizing with SlicerMorphRC.py")
# setting presets
moduleDir = os.path.dirname(slicer.util.modulePath("MorphPreferences"))
presetsScenePath = os.path.join(moduleDir, 'Resources/SM_presets.mrml')
# Read presets scene
customPresetsScene = slicer.vtkMRMLScene()
vrPropNode = sli... | 0.243013 | 0.145996 |
import csv
import io
import logging
import re
from collections import defaultdict
from pathlib import Path
from typing import Dict, List, Optional
from dataclasses import dataclass
import numpy as np
import torch
from fairseq.data import (
ConcatDataset,
Dictionary,
FairseqDataset,
ResamplingDataset,
... | fairseq/fairseq/data/audio/speech_to_text_dataset.py |
import csv
import io
import logging
import re
from collections import defaultdict
from pathlib import Path
from typing import Dict, List, Optional
from dataclasses import dataclass
import numpy as np
import torch
from fairseq.data import (
ConcatDataset,
Dictionary,
FairseqDataset,
ResamplingDataset,
... | 0.840046 | 0.296361 |
import time
import subprocess
import logging
logger = logging.getLogger()
import os.path
import subprocess
import hostapd
from wlantest import Wlantest
def hs20_ap_params():
params = hostapd.wpa2_params(ssid="test-hs20")
params['wpa_key_mgmt'] = "WPA-EAP"
params['ieee80211w'] = "1"
params['ieee8021x'... | tests/hwsim/test_ap_hs20.py |
import time
import subprocess
import logging
logger = logging.getLogger()
import os.path
import subprocess
import hostapd
from wlantest import Wlantest
def hs20_ap_params():
params = hostapd.wpa2_params(ssid="test-hs20")
params['wpa_key_mgmt'] = "WPA-EAP"
params['ieee80211w'] = "1"
params['ieee8021x'... | 0.338186 | 0.084682 |
import asyncio
from typing import Any, Callable, Coroutine, Dict, List, Optional
from typing import TYPE_CHECKING
from pyppeteer.connection import CDPSession
from pyppeteer.page import Page
if TYPE_CHECKING:
from pyppeteer.browser import Browser, BrowserContext # noqa: F401
class Target(object):
"""Browser... | pyppeteer/target.py | import asyncio
from typing import Any, Callable, Coroutine, Dict, List, Optional
from typing import TYPE_CHECKING
from pyppeteer.connection import CDPSession
from pyppeteer.page import Page
if TYPE_CHECKING:
from pyppeteer.browser import Browser, BrowserContext # noqa: F401
class Target(object):
"""Browser... | 0.764364 | 0.089694 |
from __future__ import print_function
from __future__ import division
from __future__ import absolute_import
import unittest
import webapp2
import webtest
from dashboard import migrate_test_names
from dashboard.common import testing_common
from dashboard.common import utils
from dashboard.models import anomaly
from... | dashboard/dashboard/migrate_test_names_test.py |
from __future__ import print_function
from __future__ import division
from __future__ import absolute_import
import unittest
import webapp2
import webtest
from dashboard import migrate_test_names
from dashboard.common import testing_common
from dashboard.common import utils
from dashboard.models import anomaly
from... | 0.768125 | 0.562837 |
# Copyright (c) 2014-2016, Camptocamp SA
# All rights reserved.
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
# 1. Redistributions of source code must retain the above copyright notice,
# this list of conditions a... | geoportailv3/scripts/layers2es.py |
# Copyright (c) 2014-2016, Camptocamp SA
# All rights reserved.
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
# 1. Redistributions of source code must retain the above copyright notice,
# this list of conditions a... | 0.564459 | 0.050191 |
import pyaudio
import time
import numpy as np
import pygame
import math
from scipy.ndimage import gaussian_filter1d
from scipy.special import softmax
from dfts import do_dfts
from util import *
samplerate = 44100
n_samples = 1024
bin_width = samplerate / n_samples
# Setup pygame
pygame.init()
window_w = 865
window_... | main.py | import pyaudio
import time
import numpy as np
import pygame
import math
from scipy.ndimage import gaussian_filter1d
from scipy.special import softmax
from dfts import do_dfts
from util import *
samplerate = 44100
n_samples = 1024
bin_width = samplerate / n_samples
# Setup pygame
pygame.init()
window_w = 865
window_... | 0.5083 | 0.332581 |
import numpy as np
import pandas as pd
from avato import Client
from avato import Secret
from avato_training import Training_Instance, Configuration
import time
data_filenames = ("test-data/wine-dataowner1.csv", "test-data/wine-dataowner2.csv")
expected_measurement = "71b81c5d4a1879fd75905bd207b079274fdcd095f2ff145d0... | examples/example.py | import numpy as np
import pandas as pd
from avato import Client
from avato import Secret
from avato_training import Training_Instance, Configuration
import time
data_filenames = ("test-data/wine-dataowner1.csv", "test-data/wine-dataowner2.csv")
expected_measurement = "71b81c5d4a1879fd75905bd207b079274fdcd095f2ff145d0... | 0.58948 | 0.358269 |
from copy import copy
import random
import os
import psycopg2
__all__ = ['Database']
connection = psycopg2.connect(
host=os.getenv('POSTGRES_HOST'),
port=os.getenv('POSTGRES_PORT'),
database=os.getenv('POSTGRES_DATABASE'),
user=os.getenv('POSTGRES_USER'),
password=os.getenv('POSTGRES_PASSWORD'))
... | secret_santaclaus/database.py | from copy import copy
import random
import os
import psycopg2
__all__ = ['Database']
connection = psycopg2.connect(
host=os.getenv('POSTGRES_HOST'),
port=os.getenv('POSTGRES_PORT'),
database=os.getenv('POSTGRES_DATABASE'),
user=os.getenv('POSTGRES_USER'),
password=os.getenv('POSTGRES_PASSWORD'))
... | 0.488039 | 0.115312 |
from cogs.Permissions import command_channels, dm_commands
from discord.ext import commands
from typing import Dict, List
import discord
import random
import os
hangman_embed = discord.Embed(
title="Reaction Hangman",
color=discord.Color.red()
).set_footer(text='Tip: search "regional" in the reaction menu')
... | cogs/Games.py | from cogs.Permissions import command_channels, dm_commands
from discord.ext import commands
from typing import Dict, List
import discord
import random
import os
hangman_embed = discord.Embed(
title="Reaction Hangman",
color=discord.Color.red()
).set_footer(text='Tip: search "regional" in the reaction menu')
... | 0.63375 | 0.552419 |
import sys, os, time, re, json
import requests
from bs4 import BeautifulSoup
from urllib.request import urlopen
from urllib.request import urlretrieve
from urllib.request import quote
team = "ht"
#選手の詳細ページのURLを取得する関数
def get_player_page_url_list():
endpoint = 'http://hanshintigers.jp/data/player/2018/'
reque... | npb/ht.py | import sys, os, time, re, json
import requests
from bs4 import BeautifulSoup
from urllib.request import urlopen
from urllib.request import urlretrieve
from urllib.request import quote
team = "ht"
#選手の詳細ページのURLを取得する関数
def get_player_page_url_list():
endpoint = 'http://hanshintigers.jp/data/player/2018/'
reque... | 0.109753 | 0.087097 |
# standard library
from typing import Union
# first-party
from tcex.api.tc.v3.api_endpoints import ApiEndpoints
from tcex.api.tc.v3.object_abc import ObjectABC
from tcex.api.tc.v3.object_collection_abc import ObjectCollectionABC
from tcex.api.tc.v3.security.users.user_filter import UserFilter
from tcex.api.tc.v3.secur... | tcex/api/tc/v3/security/users/user.py | # standard library
from typing import Union
# first-party
from tcex.api.tc.v3.api_endpoints import ApiEndpoints
from tcex.api.tc.v3.object_abc import ObjectABC
from tcex.api.tc.v3.object_collection_abc import ObjectCollectionABC
from tcex.api.tc.v3.security.users.user_filter import UserFilter
from tcex.api.tc.v3.secur... | 0.927732 | 0.236296 |
import re
import os
from django.conf import settings as dj_settings
from django.utils.functional import lazy
from constance import config
from seahub.settings import SEAFILE_VERSION, SITE_TITLE, SITE_NAME, \
MAX_FILE_NAME, LOGO_PATH, BRANDING_CSS, LOGO_WIDTH, LOGO_HEIGHT,\
SHOW_REPO_DOWNLOAD_BUTTON, SITE_ROOT... | seahub/base/context_processors.py | import re
import os
from django.conf import settings as dj_settings
from django.utils.functional import lazy
from constance import config
from seahub.settings import SEAFILE_VERSION, SITE_TITLE, SITE_NAME, \
MAX_FILE_NAME, LOGO_PATH, BRANDING_CSS, LOGO_WIDTH, LOGO_HEIGHT,\
SHOW_REPO_DOWNLOAD_BUTTON, SITE_ROOT... | 0.277179 | 0.062103 |
""" Tensorflow mT5 model. """
from ...utils import logging
from ..t5.modeling_tf_t5 import TFT5EncoderModel, TFT5ForConditionalGeneration, TFT5Model
from .configuration_mt5 import MT5Config
logger = logging.get_logger(__name__)
_CONFIG_FOR_DOC = "T5Config"
_TOKENIZER_FOR_DOC = "T5Tokenizer"
class TFMT5Model(TFT5M... | src/transformers/models/mt5/modeling_tf_mt5.py | """ Tensorflow mT5 model. """
from ...utils import logging
from ..t5.modeling_tf_t5 import TFT5EncoderModel, TFT5ForConditionalGeneration, TFT5Model
from .configuration_mt5 import MT5Config
logger = logging.get_logger(__name__)
_CONFIG_FOR_DOC = "T5Config"
_TOKENIZER_FOR_DOC = "T5Tokenizer"
class TFMT5Model(TFT5M... | 0.884171 | 0.537709 |
try:
from .waterfall import Waterfall
except:
from waterfall import Waterfall
from optparse import OptionParser
import sys
import os
#------
# Logging set up
import logging
logger = logging.getLogger(__name__)
level_log = logging.INFO
if level_log == logging.INFO:
stream = sys.stdout
format = '%(nam... | blimpy/bl_scrunch.py | try:
from .waterfall import Waterfall
except:
from waterfall import Waterfall
from optparse import OptionParser
import sys
import os
#------
# Logging set up
import logging
logger = logging.getLogger(__name__)
level_log = logging.INFO
if level_log == logging.INFO:
stream = sys.stdout
format = '%(nam... | 0.343232 | 0.088583 |
from __future__ import unicode_literals
from itertools import chain
from operator import methodcaller
import regex as re
from six.moves import zip_longest
from dateparser.utils import normalize_unicode
PARSER_HARDCODED_TOKENS = [":", ".", " ", "-", "/"]
PARSER_KNOWN_TOKENS = ["am", "pm", "UTC", "GMT", "Z"]
ALWAYS_KE... | dateparser/languages/dictionary.py | from __future__ import unicode_literals
from itertools import chain
from operator import methodcaller
import regex as re
from six.moves import zip_longest
from dateparser.utils import normalize_unicode
PARSER_HARDCODED_TOKENS = [":", ".", " ", "-", "/"]
PARSER_KNOWN_TOKENS = ["am", "pm", "UTC", "GMT", "Z"]
ALWAYS_KE... | 0.755276 | 0.131954 |
import time
import threading
import traceback
from thread import error as threadError
from lib.core import log
from lib.core.data import kb
from lib.core.settings import PYVERSION
from lib.core.exception import ZEROScanConnectionException
from lib.core.exception import ZEROScanThreadException
from lib.core.exceptio... | lib/core/threads.py |
import time
import threading
import traceback
from thread import error as threadError
from lib.core import log
from lib.core.data import kb
from lib.core.settings import PYVERSION
from lib.core.exception import ZEROScanConnectionException
from lib.core.exception import ZEROScanThreadException
from lib.core.exceptio... | 0.265024 | 0.054049 |
from rich.progress import Progress
import argparse
import os
import numpy as np
import torch
import torchaudio
from spectrogram import Spectrogram
def is_audio_file(name):
return name.lower().endswith('.mp3') or name.lower().endswith('.wav')
def save(data, path, **kwargs):
if 'clone' in kwargs and kwargs['c... | prepare_dataset.py | from rich.progress import Progress
import argparse
import os
import numpy as np
import torch
import torchaudio
from spectrogram import Spectrogram
def is_audio_file(name):
return name.lower().endswith('.mp3') or name.lower().endswith('.wav')
def save(data, path, **kwargs):
if 'clone' in kwargs and kwargs['c... | 0.596316 | 0.166777 |
import lmfit
import matplotlib.pyplot as plt
from matplotlib.widgets import Slider, Button
import numpy as np
class VarSlider:
def __init__(self, ax, valname, valmin, valmax,
valinit = None, valstep = None, callback = None):
self.ax = ax
self.valname = valname
if valinit is Non... | ilmfit.py |
import lmfit
import matplotlib.pyplot as plt
from matplotlib.widgets import Slider, Button
import numpy as np
class VarSlider:
def __init__(self, ax, valname, valmin, valmax,
valinit = None, valstep = None, callback = None):
self.ax = ax
self.valname = valname
if valinit is Non... | 0.673836 | 0.272996 |
import torch.nn as nn
import torch.nn.functional as F
import torchvision.models as models
class VGG(nn.Module):
"""A PyTorch Module implementing a VGG-based neural network.
The model contains 4 convolutional blocks (see :class:`ConvBlock`),
so 8 convolutional layers in total. After the convolutional laye... | ood_audio/pytorch/models.py | import torch.nn as nn
import torch.nn.functional as F
import torchvision.models as models
class VGG(nn.Module):
"""A PyTorch Module implementing a VGG-based neural network.
The model contains 4 convolutional blocks (see :class:`ConvBlock`),
so 8 convolutional layers in total. After the convolutional laye... | 0.973919 | 0.757705 |
from app.core import base
from fastapi import Request
from pydantic import BaseModel
import jwt
class JWTConfig(BaseModel):
"""Configuration class for configuring JWT authentication
Attributes:
algorithms: A comma separated list of approved algorithms to use
audience: The API audience
... | app/core/auth/jwt.py | from app.core import base
from fastapi import Request
from pydantic import BaseModel
import jwt
class JWTConfig(BaseModel):
"""Configuration class for configuring JWT authentication
Attributes:
algorithms: A comma separated list of approved algorithms to use
audience: The API audience
... | 0.877968 | 0.221435 |
from typing import Any, Type, Optional, Set
def _name(type_: Type) -> str:
return type_.__name__ if hasattr(type_, "__name__") else str(type_)
class DaciteError(Exception):
pass
class DaciteFieldError(DaciteError):
def __init__(self, field_path: Optional[str] = None):
super().__init__()
... | dacite/exceptions.py | from typing import Any, Type, Optional, Set
def _name(type_: Type) -> str:
return type_.__name__ if hasattr(type_, "__name__") else str(type_)
class DaciteError(Exception):
pass
class DaciteFieldError(DaciteError):
def __init__(self, field_path: Optional[str] = None):
super().__init__()
... | 0.925112 | 0.146606 |
import sys
from win32com.axscript.server.error import Exception
from win32com.axscript import axscript
from win32com.axscript.server import axsite
import pythoncom
from win32com.server import util, connect
import win32com.server.policy
class MySite(axsite.AXSite):
def OnScriptError(self, error):
exc = error.Get... | Src/StdLib/Lib/site-packages/win32comext/axscript/test/leakTest.py | import sys
from win32com.axscript.server.error import Exception
from win32com.axscript import axscript
from win32com.axscript.server import axsite
import pythoncom
from win32com.server import util, connect
import win32com.server.policy
class MySite(axsite.AXSite):
def OnScriptError(self, error):
exc = error.Get... | 0.196672 | 0.111386 |
import hashlib
import logging
import os
import shutil
import sys
if sys.version_info < (3, 6):
pass
logger = logging.getLogger(__name__)
def _file_reader_iter(path: str, block_size=2 ** 20):
with open(path, "rb") as f:
block = f.read(block_size)
while len(block) > 0:
yield bloc... | installer/common/file_utils.py |
import hashlib
import logging
import os
import shutil
import sys
if sys.version_info < (3, 6):
pass
logger = logging.getLogger(__name__)
def _file_reader_iter(path: str, block_size=2 ** 20):
with open(path, "rb") as f:
block = f.read(block_size)
while len(block) > 0:
yield bloc... | 0.469277 | 0.234735 |
# -----------------------------------------------------------------------------
# Module: dpa.restful
# Author: <NAME> (jtomlin)
# -----------------------------------------------------------------------------
# -----------------------------------------------------------------------------
# Imports:
# ----------------... | dpa/restful/__init__.py | # -----------------------------------------------------------------------------
# Module: dpa.restful
# Author: <NAME> (jtomlin)
# -----------------------------------------------------------------------------
# -----------------------------------------------------------------------------
# Imports:
# ----------------... | 0.528777 | 0.090454 |
import os
import soundfile
import librosa
import tensorflow as tf
import vggish_input
import vggish_params
import vggish_postprocess
import vggish_slim
slim = tf.contrib.slim
def read_audio(path, target_fs=None):
(audio, fs) = soundfile.read(path)
if audio.ndim > 1:
audio = np.mean(audio, axis=1... | extract_audioset_embedding/extract_embeddings.py | import os
import soundfile
import librosa
import tensorflow as tf
import vggish_input
import vggish_params
import vggish_postprocess
import vggish_slim
slim = tf.contrib.slim
def read_audio(path, target_fs=None):
(audio, fs) = soundfile.read(path)
if audio.ndim > 1:
audio = np.mean(audio, axis=1... | 0.533884 | 0.166947 |
import re
import shutil
SHA_256_FILE = "sha-256_ALICE.txt"
PBKDF_N_FILE_PREFIX = "pbkdf2-sha256-"
PBKDF_N_FILE_SUFFIX = ".txt"
IN_LEN = 512
OUT_LEN = 256
def mod_first():
PBKDF_OUT_FILE = PBKDF_N_FILE_PREFIX + "1e0" + PBKDF_N_FILE_SUFFIX
with open(SHA_256_FILE, "r") as in_f:
gates = in_f.readlines(... | pbkdf2-sha256/create_pbkdf2_n.py |
import re
import shutil
SHA_256_FILE = "sha-256_ALICE.txt"
PBKDF_N_FILE_PREFIX = "pbkdf2-sha256-"
PBKDF_N_FILE_SUFFIX = ".txt"
IN_LEN = 512
OUT_LEN = 256
def mod_first():
PBKDF_OUT_FILE = PBKDF_N_FILE_PREFIX + "1e0" + PBKDF_N_FILE_SUFFIX
with open(SHA_256_FILE, "r") as in_f:
gates = in_f.readlines(... | 0.20343 | 0.35942 |
from vortexasdk.endpoints.asset_tanks import AssetTanks
from vortexasdk.endpoints.attributes import Attributes
from vortexasdk.endpoints.cargo_movements import CargoMovements
from vortexasdk.endpoints.cargo_timeseries import CargoTimeSeries
from vortexasdk.endpoints.vessel_movements import VesselMovements
from vortexas... | vortexasdk/endpoints/__init__.py | from vortexasdk.endpoints.asset_tanks import AssetTanks
from vortexasdk.endpoints.attributes import Attributes
from vortexasdk.endpoints.cargo_movements import CargoMovements
from vortexasdk.endpoints.cargo_timeseries import CargoTimeSeries
from vortexasdk.endpoints.vessel_movements import VesselMovements
from vortexas... | 0.649912 | 0.138113 |
__author__ = ["<NAME>"]
__email__ = ["<EMAIL>"]
__status__ = "Prototype"
""" Ignite trainer for a Bimodal GAN architecture. """
from abc import ABC
from typing import Callable
from overrides import overrides
from torch.nn import BCEWithLogitsLoss
from vscvs.decorators import kwargs_parameter_dict
from vscvs.loss_... | vscvs/trainers/gan/bimodal.py | __author__ = ["<NAME>"]
__email__ = ["<EMAIL>"]
__status__ = "Prototype"
""" Ignite trainer for a Bimodal GAN architecture. """
from abc import ABC
from typing import Callable
from overrides import overrides
from torch.nn import BCEWithLogitsLoss
from vscvs.decorators import kwargs_parameter_dict
from vscvs.loss_... | 0.921675 | 0.389024 |
import datetime
from south.db import db
from south.v2 import SchemaMigration
from django.db import models
class Migration(SchemaMigration):
def forwards(self, orm):
# Adding field 'Post.rawtags'
db.add_column(u'feedzilla_post', 'rawtags',
self.gf('django.db.models.fields.Cha... | feedzilla/migrations/0007_auto__add_field_post_rawtags.py | import datetime
from south.db import db
from south.v2 import SchemaMigration
from django.db import models
class Migration(SchemaMigration):
def forwards(self, orm):
# Adding field 'Post.rawtags'
db.add_column(u'feedzilla_post', 'rawtags',
self.gf('django.db.models.fields.Cha... | 0.364551 | 0.104935 |
# Script for use with Gnome NetworkManager
import requests
import bs4
import sys
import os
import urllib.parse
import re
def connect_oebb():
sess = requests.Session()
portal_html = sess.get("http://detectportal.firefox.com").text
if portal_html.startswith("success"):
return
tree = bs4.Beauti... | oebbnetworkmanager.py |
# Script for use with Gnome NetworkManager
import requests
import bs4
import sys
import os
import urllib.parse
import re
def connect_oebb():
sess = requests.Session()
portal_html = sess.get("http://detectportal.firefox.com").text
if portal_html.startswith("success"):
return
tree = bs4.Beauti... | 0.142351 | 0.114864 |
from typing import Optional
from ldap3 import Connection, Server, AUTO_BIND_TLS_BEFORE_BIND, SUBTREE, AUTO_BIND_NO_TLS, AUTO_BIND_NONE
from .. import APP
from ..logging import AUTH_LOGGER
server: Server = Server(APP.config["LDAP_URI"], port=APP.config["LDAP_PORT"], use_ssl=APP.config["LDAP_SSL"])
def get_auto_bind(... | ums_api/logic/ldap.py | from typing import Optional
from ldap3 import Connection, Server, AUTO_BIND_TLS_BEFORE_BIND, SUBTREE, AUTO_BIND_NO_TLS, AUTO_BIND_NONE
from .. import APP
from ..logging import AUTH_LOGGER
server: Server = Server(APP.config["LDAP_URI"], port=APP.config["LDAP_PORT"], use_ssl=APP.config["LDAP_SSL"])
def get_auto_bind(... | 0.761982 | 0.108566 |
from typing import Optional
windows_icon = ":fontawesome-brands-windows:"
macos_icon = ":fontawesome-brands-apple:"
linux_icon = ":fontawesome-brands-linux:"
def download_link(repo: str, artifact: str, classifier: str, packaging: str, version="LATEST", group="org.metaborg"):
return f"https://artifacts.metaborg.o... | docs/macro.py | from typing import Optional
windows_icon = ":fontawesome-brands-windows:"
macos_icon = ":fontawesome-brands-apple:"
linux_icon = ":fontawesome-brands-linux:"
def download_link(repo: str, artifact: str, classifier: str, packaging: str, version="LATEST", group="org.metaborg"):
return f"https://artifacts.metaborg.o... | 0.833562 | 0.242015 |
from typing import (
Any,
Callable,
Dict,
Generic,
Iterable,
List,
NewType,
Sequence,
Tuple,
Type,
TypeVar,
TYPE_CHECKING,
Union,
)
from eth_typing import (
Address,
BlockNumber,
Hash32,
HexStr,
)
from mypy_extensions import (
TypedDict,
)
if TYP... | eth/typing.py | from typing import (
Any,
Callable,
Dict,
Generic,
Iterable,
List,
NewType,
Sequence,
Tuple,
Type,
TypeVar,
TYPE_CHECKING,
Union,
)
from eth_typing import (
Address,
BlockNumber,
Hash32,
HexStr,
)
from mypy_extensions import (
TypedDict,
)
if TYP... | 0.461988 | 0.18704 |
import asyncio
import csv
import os
import shlex
import sys
import tempfile
from datetime import datetime, timezone
from subprocess import CalledProcessError
from typing import Dict, List, NamedTuple, Optional
import boto3
from mypy_boto3_ec2.service_resource import Instance
from mypy_boto3_ec2.type_defs import (
... | misc/python/materialize/scratch.py | import asyncio
import csv
import os
import shlex
import sys
import tempfile
from datetime import datetime, timezone
from subprocess import CalledProcessError
from typing import Dict, List, NamedTuple, Optional
import boto3
from mypy_boto3_ec2.service_resource import Instance
from mypy_boto3_ec2.type_defs import (
... | 0.517327 | 0.163112 |
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from . import _utilities
__all__ = [
'GetAdminRecommendedFolderResult',
'AwaitableGetAdminRecommendedFolderResult',
'get_admin_recommended_folder',
'get_admin_recommended_folder_out... | sdk/python/pulumi_sumologic/get_admin_recommended_folder.py |
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from . import _utilities
__all__ = [
'GetAdminRecommendedFolderResult',
'AwaitableGetAdminRecommendedFolderResult',
'get_admin_recommended_folder',
'get_admin_recommended_folder_out... | 0.788746 | 0.079068 |
from conans import ConanFile, AutoToolsBuildEnvironment, VisualStudioBuildEnvironment, tools
from conans.errors import ConanInvalidConfiguration
from contextlib import contextmanager
import os
required_conan_version = ">=1.33.0"
class CalcephConan(ConanFile):
name = "calceph"
description = "C Library designe... | recipes/calceph/all/conanfile.py | from conans import ConanFile, AutoToolsBuildEnvironment, VisualStudioBuildEnvironment, tools
from conans.errors import ConanInvalidConfiguration
from contextlib import contextmanager
import os
required_conan_version = ">=1.33.0"
class CalcephConan(ConanFile):
name = "calceph"
description = "C Library designe... | 0.540439 | 0.181173 |
import unittest
try:
from unittest import mock
except ImportError:
import mock
from vsi.tools.python import (Try, is_string_like, BasicDecorator, static,
WarningDecorator, args_to_kwargs,
args_to_kwargs_unbound, args_to_kwargs_easy,
... | python/vsi/test/test_python.py | import unittest
try:
from unittest import mock
except ImportError:
import mock
from vsi.tools.python import (Try, is_string_like, BasicDecorator, static,
WarningDecorator, args_to_kwargs,
args_to_kwargs_unbound, args_to_kwargs_easy,
... | 0.358241 | 0.511107 |
class Node:
def __init__(self,data,next=None):
self.next = next
self.data = data
def getValue(self):
return self.data
def setValue(self,value):
self.data = value
def getNext(self):
return self.next
def setNext(self,next):
self.next = next
class Li... | List.py | class Node:
def __init__(self,data,next=None):
self.next = next
self.data = data
def getValue(self):
return self.data
def setValue(self,value):
self.data = value
def getNext(self):
return self.next
def setNext(self,next):
self.next = next
class Li... | 0.667039 | 0.29972 |
from turtle import Turtle, Screen
import random
def start(turtle_instance, x, y, color):
turtle_instance.color(color)
turtle_instance.penup()
turtle_instance.shape('turtle')
turtle_instance.goto(x, y)
screen = Screen()
screen.setup(width=1320, height=600)
user_input = screen.textinput("... | Day 19 - Turtle Races/turtle_races.py | from turtle import Turtle, Screen
import random
def start(turtle_instance, x, y, color):
turtle_instance.color(color)
turtle_instance.penup()
turtle_instance.shape('turtle')
turtle_instance.goto(x, y)
screen = Screen()
screen.setup(width=1320, height=600)
user_input = screen.textinput("... | 0.16654 | 0.177347 |
from __future__ import absolute_import
import mock
from oauth2client.client import AccessTokenCredentials
import unittest
import google.cloud.monitoring
import datalab.context
import datalab.stackdriver.monitoring as gcm
PROJECT = 'my-project'
RESOURCE_TYPES = ['gce_instance', 'aws_ec2_instance']
DISPLAY_NAMES = ['... | legacy_tests/stackdriver/monitoring/resource_tests.py |
from __future__ import absolute_import
import mock
from oauth2client.client import AccessTokenCredentials
import unittest
import google.cloud.monitoring
import datalab.context
import datalab.stackdriver.monitoring as gcm
PROJECT = 'my-project'
RESOURCE_TYPES = ['gce_instance', 'aws_ec2_instance']
DISPLAY_NAMES = ['... | 0.566618 | 0.145025 |
from web3.auto import w3
from eth_utils import to_checksum_address
import ipfsApi
import argparse
import logging
#logging.getLogger("SensorSourceEvents").setLevel('DEBUG')
from sensorSource import (SensorSource, SensorSourceEvents, signWithPassword, encodeMultihash, MultiHash)
def sensor(password, sensorKeyFile, s... | python/sensor.py | from web3.auto import w3
from eth_utils import to_checksum_address
import ipfsApi
import argparse
import logging
#logging.getLogger("SensorSourceEvents").setLevel('DEBUG')
from sensorSource import (SensorSource, SensorSourceEvents, signWithPassword, encodeMultihash, MultiHash)
def sensor(password, sensorKeyFile, s... | 0.338514 | 0.102036 |
import json
import os
import random
import unittest
from datetime import datetime
try:
from unittest import mock
except ImportError:
import mock
from six import PY2
import pandas as pd
import re
import great_expectations as ge
from great_expectations.dataset import PandasDataset, MetaPandasDataset
from great_... | tests/test_great_expectations.py | import json
import os
import random
import unittest
from datetime import datetime
try:
from unittest import mock
except ImportError:
import mock
from six import PY2
import pandas as pd
import re
import great_expectations as ge
from great_expectations.dataset import PandasDataset, MetaPandasDataset
from great_... | 0.589244 | 0.53279 |
import networkx as nx
import os.path
import time
from copy import deepcopy
import random
class LSWLCommunityDiscovery(object):
minimum_improvement = 0.000001
def __init__(self, graph, strength_type, timeout):
# initializes the object
self.graph = graph
self.strength_type = strength_ty... | cdlib/algorithms/internal/LSWL.py | import networkx as nx
import os.path
import time
from copy import deepcopy
import random
class LSWLCommunityDiscovery(object):
minimum_improvement = 0.000001
def __init__(self, graph, strength_type, timeout):
# initializes the object
self.graph = graph
self.strength_type = strength_ty... | 0.383295 | 0.267647 |
import datetime
import pickle
import time
import numpy as np
import tensorflow as tf
def stack_data(data, num_shifts, len_time):
"""Stack data from a 2D array into a 3D array.
Arguments:
data -- 2D data array to be reshaped
num_shifts -- number of shifts (time steps) that losses... | helperfns.py | import datetime
import pickle
import time
import numpy as np
import tensorflow as tf
def stack_data(data, num_shifts, len_time):
"""Stack data from a 2D array into a 3D array.
Arguments:
data -- 2D data array to be reshaped
num_shifts -- number of shifts (time steps) that losses... | 0.649356 | 0.437944 |
import logging
import os
import torch
import GRNetDetector.utils.data_loaders
import GRNetDetector.utils.helpers
from datetime import datetime
from time import time
from tensorboardX import SummaryWriter
from GRNetDetector.core.test import test_net
from GRNetDetector.extensions.chamfer_dist import ChamferDistance
f... | GRNetDetector/core/train.py |
import logging
import os
import torch
import GRNetDetector.utils.data_loaders
import GRNetDetector.utils.helpers
from datetime import datetime
from time import time
from tensorboardX import SummaryWriter
from GRNetDetector.core.test import test_net
from GRNetDetector.extensions.chamfer_dist import ChamferDistance
f... | 0.832169 | 0.183758 |
from flask import Flask, jsonify, render_template
from uuid import uuid4
from random import randint
import random
from blockchain_db import BlockchainDB
app = Flask(__name__)
blockchain_db_manager = BlockchainDB()
@app.route('/', methods=['GET'])
def hello_world():
"""
Welcome to Blockchain message
:ret... | src/blockchain_db_server.py | from flask import Flask, jsonify, render_template
from uuid import uuid4
from random import randint
import random
from blockchain_db import BlockchainDB
app = Flask(__name__)
blockchain_db_manager = BlockchainDB()
@app.route('/', methods=['GET'])
def hello_world():
"""
Welcome to Blockchain message
:ret... | 0.655115 | 0.200519 |
import heapq as heap
filename = 'e_high_bonus'
class Ride:
def __init__(self, start_row, start_col, finish_row, finish_col, early_start, late_finish, bonus, i):
self.start_row = start_row
self.start_col = start_col
self.finish_row = finish_row
self.finish_col = finish_col
s... | main.py | import heapq as heap
filename = 'e_high_bonus'
class Ride:
def __init__(self, start_row, start_col, finish_row, finish_col, early_start, late_finish, bonus, i):
self.start_row = start_row
self.start_col = start_col
self.finish_row = finish_row
self.finish_col = finish_col
s... | 0.373304 | 0.28902 |
import json
import os
import time
from typing import Any, List, Optional, Tuple
import urllib.parse
from bitcoinx import TxOutput, Script, Address, classify_output_script
import requests
from .exceptions import FileImportFailed, FileImportFailedEncrypted, Bip270Exception
from .logs import logs
from .util import bfh
... | electrumsv/paymentrequest.py |
import json
import os
import time
from typing import Any, List, Optional, Tuple
import urllib.parse
from bitcoinx import TxOutput, Script, Address, classify_output_script
import requests
from .exceptions import FileImportFailed, FileImportFailedEncrypted, Bip270Exception
from .logs import logs
from .util import bfh
... | 0.440469 | 0.173919 |
"""Remote TensorFlow (RTF) gRPC service provider."""
import io
import queue
from collections import deque
import threading
import sys
from typing import Iterator
import re
import contextlib
import tensorflow as tf
from .proto import rtf_pb2, rtf_pb2_grpc
def rreplace(s, old, new, occurrence):
li = s.rsplit(old, ... | rtf/service.py |
"""Remote TensorFlow (RTF) gRPC service provider."""
import io
import queue
from collections import deque
import threading
import sys
from typing import Iterator
import re
import contextlib
import tensorflow as tf
from .proto import rtf_pb2, rtf_pb2_grpc
def rreplace(s, old, new, occurrence):
li = s.rsplit(old, ... | 0.511229 | 0.168139 |
import itertools
from datetime import datetime
from typing import List
import pytest
from pathfinding_service.model import ChannelView
from pathfinding_service.model.token_network import TokenNetwork
from raiden.constants import EMPTY_SIGNATURE
from raiden.messages.path_finding_service import PFSFeeUpdate
from raiden... | tests/pathfinding/test_fee_schedule.py | import itertools
from datetime import datetime
from typing import List
import pytest
from pathfinding_service.model import ChannelView
from pathfinding_service.model.token_network import TokenNetwork
from raiden.constants import EMPTY_SIGNATURE
from raiden.messages.path_finding_service import PFSFeeUpdate
from raiden... | 0.856152 | 0.381076 |
import oci # noqa: F401
from oci.util import WAIT_RESOURCE_NOT_FOUND # noqa: F401
class BlockstorageClientCompositeOperations(object):
"""
This class provides a wrapper around :py:class:`~oci.core.BlockstorageClient` and offers convenience methods
for operations that would otherwise need to be chained ... | darling_ansible/python_venv/lib/python3.7/site-packages/oci/core/blockstorage_client_composite_operations.py |
import oci # noqa: F401
from oci.util import WAIT_RESOURCE_NOT_FOUND # noqa: F401
class BlockstorageClientCompositeOperations(object):
"""
This class provides a wrapper around :py:class:`~oci.core.BlockstorageClient` and offers convenience methods
for operations that would otherwise need to be chained ... | 0.768255 | 0.348036 |
import argparse
from processfile import ProcessFile
def read_args():
"""
Read the arguments from command line
:return:
"""
parser = argparse.ArgumentParser(description="Decode a given origami matrices to a text file.")
parser.add_argument("-f", "--file_in", help="File to decode", required=True... | error_correction/decode.py | import argparse
from processfile import ProcessFile
def read_args():
"""
Read the arguments from command line
:return:
"""
parser = argparse.ArgumentParser(description="Decode a given origami matrices to a text file.")
parser.add_argument("-f", "--file_in", help="File to decode", required=True... | 0.635336 | 0.226441 |
# importing defined funcions from file and modules
from functions import draw_shape
import functions
from functions import orders
from functions import sales
from os.path import join
from functions import place_record, rotate_record, drop_needle
from datetime import datetime
# Example of a basic p... | PRINT.py |
# importing defined funcions from file and modules
from functions import draw_shape
import functions
from functions import orders
from functions import sales
from os.path import join
from functions import place_record, rotate_record, drop_needle
from datetime import datetime
# Example of a basic p... | 0.438304 | 0.307618 |
import numpy as np
#%% Corresponding Y generation
def Syn_Generation_Y1(X, W, sigma):
# No of samples
n = len(X)
t = len(X[0][:,0])
# Initialization
Output_Y = list()
for i in range(n):
Temp_X = X[i]
Temp_Y = np.zeros([t,])
for j in range(t):
... | alg/asac/Data_Generation_Y.py |
import numpy as np
#%% Corresponding Y generation
def Syn_Generation_Y1(X, W, sigma):
# No of samples
n = len(X)
t = len(X[0][:,0])
# Initialization
Output_Y = list()
for i in range(n):
Temp_X = X[i]
Temp_Y = np.zeros([t,])
for j in range(t):
... | 0.276886 | 0.473353 |
from perceptron import *
import numpy as np
import copy
import time
import random
def rastrigin(x,y):
return 20+x**2-10*np.cos(2*np.pi*x)+y**2-10*np.cos(2*np.pi*y)
np.random.seed(7)
with open('training_data.csv','w') as f:
for i in range(1000):
x=np.random.sample()*4-2
y=np.ra... | 03-siec/siec.py | from perceptron import *
import numpy as np
import copy
import time
import random
def rastrigin(x,y):
return 20+x**2-10*np.cos(2*np.pi*x)+y**2-10*np.cos(2*np.pi*y)
np.random.seed(7)
with open('training_data.csv','w') as f:
for i in range(1000):
x=np.random.sample()*4-2
y=np.ra... | 0.196942 | 0.182353 |
import numpy as np
def lsfd(lambdak, f, frf):
"""
LSFD (Least-Squares Frequency domain) method is used in order
to determine the residues and mode shapes from complex natural frquencies
and the measured frequency response functions.
:param lambdak: a vector of selected complex natural frequenci... | OpenModal/analysis/lsfd.py |
import numpy as np
def lsfd(lambdak, f, frf):
"""
LSFD (Least-Squares Frequency domain) method is used in order
to determine the residues and mode shapes from complex natural frquencies
and the measured frequency response functions.
:param lambdak: a vector of selected complex natural frequenci... | 0.903598 | 0.723505 |
from __future__ import unicode_literals
import os
import threading
import time
import uuid
import xml.etree.ElementTree as ET
from django.contrib import auth
from django.contrib import messages
from django.contrib.auth.models import User
from django.core import signing
from django.db.models import Q
from django.http ... | webscanners/web_views.py |
from __future__ import unicode_literals
import os
import threading
import time
import uuid
import xml.etree.ElementTree as ET
from django.contrib import auth
from django.contrib import messages
from django.contrib.auth.models import User
from django.core import signing
from django.db.models import Q
from django.http ... | 0.408159 | 0.041346 |
import asyncio
from concurrent.futures import ProcessPoolExecutor
import pickle
import time
from thrift.perf.load.services import LoadTestInterface
from thrift.perf.load.types import LoadError
def us_to_sec(microseconds):
return microseconds / 1000000
def burn_in_executor(us):
start = time.time()
end = ... | thrift/perf/py3/load_handler.py | import asyncio
from concurrent.futures import ProcessPoolExecutor
import pickle
import time
from thrift.perf.load.services import LoadTestInterface
from thrift.perf.load.types import LoadError
def us_to_sec(microseconds):
return microseconds / 1000000
def burn_in_executor(us):
start = time.time()
end = ... | 0.455441 | 0.235218 |
import json
import os
import mimetypes
from uuid import UUID
import requests
from typing import Dict, List, Optional
from autoretouch_api_client.model import (
ApiConfig, Organization, Page, Workflow, DeviceCodeResponse, AccessTokenResponse, WorkflowExecution)
DEFAULT_API_CONFIG = ApiConfig(
BASE_API_URL="... | autoretouch_api_client/client.py | import json
import os
import mimetypes
from uuid import UUID
import requests
from typing import Dict, List, Optional
from autoretouch_api_client.model import (
ApiConfig, Organization, Page, Workflow, DeviceCodeResponse, AccessTokenResponse, WorkflowExecution)
DEFAULT_API_CONFIG = ApiConfig(
BASE_API_URL="... | 0.670824 | 0.098903 |
from sly import Lexer
r_ID = r'[a-zA-Z_][a-zA-Z0-9_]*'
r_KW = r_ID + r':'
r_CHAR = r'\S'
r_OPCHAR = r'[\!\@\#\$\%\^\&\*\-\+\=\~\/\?\<\>\,\;\|\‘\\]'
r_SQ_STRING = r"\'(\\\'|[^\'])*\'"
r_DQ_STRING = r'\"(\\\"|[^\"])*\"'
r_BQ_STRING = r'\`(\\\`|[^\`])*\`'
r_BIN_DIGIT = r'[0-1]'
r_OCT_DIGIT = r'[0-7]'
r_DEC_DIGIT = r'[... | src/compiler/splexer.py | from sly import Lexer
r_ID = r'[a-zA-Z_][a-zA-Z0-9_]*'
r_KW = r_ID + r':'
r_CHAR = r'\S'
r_OPCHAR = r'[\!\@\#\$\%\^\&\*\-\+\=\~\/\?\<\>\,\;\|\‘\\]'
r_SQ_STRING = r"\'(\\\'|[^\'])*\'"
r_DQ_STRING = r'\"(\\\"|[^\"])*\"'
r_BQ_STRING = r'\`(\\\`|[^\`])*\`'
r_BIN_DIGIT = r'[0-1]'
r_OCT_DIGIT = r'[0-7]'
r_DEC_DIGIT = r'[... | 0.358353 | 0.131563 |
import os
indir="/afs/cern.ch/work/e/edreyer/public/madgraph5atlasval/source/MCVal/events_DM/"
outdir="/afs/cern.ch/work/e/edreyer/public/madgraph5atlasval/source/MCVal/events_DM/"
channels=["mumu","ee"]
masses=["500","1000","2000"]
couplings=["0p02"]
#variables=["n_l1","pdgid_l1","e_l1","px_l1","py_l1","pz_l1","pt_l1... | excursion/testcases/madgraph5atlasval/share/makeCards_DM.py | import os
indir="/afs/cern.ch/work/e/edreyer/public/madgraph5atlasval/source/MCVal/events_DM/"
outdir="/afs/cern.ch/work/e/edreyer/public/madgraph5atlasval/source/MCVal/events_DM/"
channels=["mumu","ee"]
masses=["500","1000","2000"]
couplings=["0p02"]
#variables=["n_l1","pdgid_l1","e_l1","px_l1","py_l1","pz_l1","pt_l1... | 0.305179 | 0.239683 |
import numpy as np
import pytest
from foolbox.attacks import BoundaryAttack
from foolbox.attacks import DeepFoolAttack
from foolbox.attacks import BlendedUniformNoiseAttack
def test_attack(bn_adversarial):
adv = bn_adversarial
attack = BoundaryAttack()
attack(adv, iterations=200, verbose=True)
assert... | foolbox/tests/test_attacks_boundary.py | import numpy as np
import pytest
from foolbox.attacks import BoundaryAttack
from foolbox.attacks import DeepFoolAttack
from foolbox.attacks import BlendedUniformNoiseAttack
def test_attack(bn_adversarial):
adv = bn_adversarial
attack = BoundaryAttack()
attack(adv, iterations=200, verbose=True)
assert... | 0.674372 | 0.706384 |
import logging
import shutil
import subprocess
import sys
import zipfile
from io import BytesIO
from pathlib import Path
from urllib import request
amalgamation_url = 'https://sqlite.org/2021/sqlite-amalgamation-3360000.zip'
# Extension-functions
# ===================
# It breaks amalgamation if appended as other ex... | lib/sql-js/configure.py | import logging
import shutil
import subprocess
import sys
import zipfile
from io import BytesIO
from pathlib import Path
from urllib import request
amalgamation_url = 'https://sqlite.org/2021/sqlite-amalgamation-3360000.zip'
# Extension-functions
# ===================
# It breaks amalgamation if appended as other ex... | 0.261331 | 0.209834 |
from discord.ext import commands
import discord
import os
import random
import datetime
import asyncio
class FunCommands(commands.Cog):
def __init__(self, client):
self.client = client
# Bedtime command, because everyone should go to sleep at 7 pm like civilized people
@commands.command()
asy... | cogs/fun.py | from discord.ext import commands
import discord
import os
import random
import datetime
import asyncio
class FunCommands(commands.Cog):
def __init__(self, client):
self.client = client
# Bedtime command, because everyone should go to sleep at 7 pm like civilized people
@commands.command()
asy... | 0.209187 | 0.150621 |
import sqlite3
# Standard Library
from argparse import ArgumentParser, Namespace
from sqlite3 import Cursor
# 3rd Party
from pygments.styles import STYLE_MAP
from tabulate import tabulate
from .context import Context, SqliteCtxt
# Relative
from .meta_cmds import meta_cmds
from .utils import set_db_con, log, set_prom... | sqliterepl/main.py |
import sqlite3
# Standard Library
from argparse import ArgumentParser, Namespace
from sqlite3 import Cursor
# 3rd Party
from pygments.styles import STYLE_MAP
from tabulate import tabulate
from .context import Context, SqliteCtxt
# Relative
from .meta_cmds import meta_cmds
from .utils import set_db_con, log, set_prom... | 0.532911 | 0.076098 |
from __future__ import absolute_import
from datetime import date, datetime # noqa: F401
from typing import List, Dict # noqa: F401
from tapi_server.models.base_model_ import Model
from tapi_server import util
class TapiConnectivityGetconnectionendpointdetailsInput(Model):
"""NOTE: This class is auto generate... | RI/flask_server/tapi_server/models/tapi_connectivity_getconnectionendpointdetails_input.py |
from __future__ import absolute_import
from datetime import date, datetime # noqa: F401
from typing import List, Dict # noqa: F401
from tapi_server.models.base_model_ import Model
from tapi_server import util
class TapiConnectivityGetconnectionendpointdetailsInput(Model):
"""NOTE: This class is auto generate... | 0.811415 | 0.05951 |
import collections
import json
import logging
import traceback
from logging import Formatter, LogRecord
try:
import colorama
except ImportError:
colorama = None
"""Colors used by Colorama (if installed)"""
LOG_COLORS = {}
if colorama:
colorama.init()
# default color scheme
LOG_COLORS = {
l... | alphaconf/logging_util.py | import collections
import json
import logging
import traceback
from logging import Formatter, LogRecord
try:
import colorama
except ImportError:
colorama = None
"""Colors used by Colorama (if installed)"""
LOG_COLORS = {}
if colorama:
colorama.init()
# default color scheme
LOG_COLORS = {
l... | 0.461502 | 0.134009 |