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 re
import sys
import logging
import logging.handlers
from pygments.lexer import RegexLexer, include
from pygments.token import (Punctuation, Text, Comment, Keyword, Name, String,
Generic, Operator, Number, Whitespace, Literal, Error, Token)
from pygments import highlight
from pygments.formatters impor... | peri/logger_colors.py | import re
import sys
import logging
import logging.handlers
from pygments.lexer import RegexLexer, include
from pygments.token import (Punctuation, Text, Comment, Keyword, Name, String,
Generic, Operator, Number, Whitespace, Literal, Error, Token)
from pygments import highlight
from pygments.formatters impor... | 0.260201 | 0.140307 |
import pyDOE as doe
import numpy as np
import os
from itertools import repeat
from scipy import stats
import matplotlib.pyplot as plt
from matplotlib import rcParams
import ParetoFrontND as pf
import StandardTestFunctions as fn
import GPyOpt
plt.style.use('ggplot')
rcParams['font.sans-serif'] = "Segoe UI"
rcParams['fo... | standard-test-functions/figure_4.py | import pyDOE as doe
import numpy as np
import os
from itertools import repeat
from scipy import stats
import matplotlib.pyplot as plt
from matplotlib import rcParams
import ParetoFrontND as pf
import StandardTestFunctions as fn
import GPyOpt
plt.style.use('ggplot')
rcParams['font.sans-serif'] = "Segoe UI"
rcParams['fo... | 0.455683 | 0.606178 |
from powrl3.util.fileio import *
import numpy as np
from collections import deque
import random
import pickle
import os
class EligibilityTraces(object):
def __init__(self, actions, n_dim):
self.actions = actions
n = len(actions)
self.n_dim = n_dim
self.traces = np.zeros((n, n_dim... | powrl3/agent/a2c/util.py | from powrl3.util.fileio import *
import numpy as np
from collections import deque
import random
import pickle
import os
class EligibilityTraces(object):
def __init__(self, actions, n_dim):
self.actions = actions
n = len(actions)
self.n_dim = n_dim
self.traces = np.zeros((n, n_dim... | 0.474388 | 0.206134 |
from copy import deepcopy
from scan.test.fetch.kube_fetch.test_data.kube_access import BASE_RESPONSE
VSERVICES_FOLDER_DOC = {
"_id": "5aaf8369c6ad1791934c9a15",
"environment": "kube-aci",
"id": "b5fee42e-1b31-11e8-9d88-00505699cf9e-vservices",
"type": "vservices_folder",
"parent_type": "namespace"... | scan/test/fetch/kube_fetch/test_data/kube_fetch_vservices.py | from copy import deepcopy
from scan.test.fetch.kube_fetch.test_data.kube_access import BASE_RESPONSE
VSERVICES_FOLDER_DOC = {
"_id": "5aaf8369c6ad1791934c9a15",
"environment": "kube-aci",
"id": "b5fee42e-1b31-11e8-9d88-00505699cf9e-vservices",
"type": "vservices_folder",
"parent_type": "namespace"... | 0.385028 | 0.289409 |
import numpy as np
import torch
import os, time, sys
from os.path import join as pjoin
from PIL import Image
import argparse
from torch.utils.data import DataLoader
from torchvision.transforms import ToPILImage
import models
from utils import convert_state_dict, Logger
from dataset.dataset import VOC12
def main(args... | test.py | import numpy as np
import torch
import os, time, sys
from os.path import join as pjoin
from PIL import Image
import argparse
from torch.utils.data import DataLoader
from torchvision.transforms import ToPILImage
import models
from utils import convert_state_dict, Logger
from dataset.dataset import VOC12
def main(args... | 0.412648 | 0.235152 |
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# http://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicable law or agreed to in writing, software
# distributed under the... | actions/delete_l2_port_channel.py |
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# http://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicable law or agreed to in writing, software
# distributed under the... | 0.739046 | 0.21099 |
import json
from django.contrib import messages
from django.core.urlresolvers import reverse_lazy
from django.views.generic import FormView, ListView, UpdateView
from djofx import models
from djofx.forms import CategoriseTransactionForm, CategoryForm
from djofx.utils import qs_to_monthly_report
from djofx.views.base ... | djofx/views/category.py | import json
from django.contrib import messages
from django.core.urlresolvers import reverse_lazy
from django.views.generic import FormView, ListView, UpdateView
from djofx import models
from djofx.forms import CategoriseTransactionForm, CategoryForm
from djofx.utils import qs_to_monthly_report
from djofx.views.base ... | 0.478041 | 0.129155 |
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from scipy import interpolate
import time
start_time = time.time()
data_matrix = np.array(pd.read_csv('SUSY.csv'))
X = data_matrix[:,1:]
Y = data_matrix[:,0]
Y[Y==0.0] = -1.0
nrows, ncols = X.shape[0], X.shape[1]
training_percent = 70
print "\... | main.py | import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from scipy import interpolate
import time
start_time = time.time()
data_matrix = np.array(pd.read_csv('SUSY.csv'))
X = data_matrix[:,1:]
Y = data_matrix[:,0]
Y[Y==0.0] = -1.0
nrows, ncols = X.shape[0], X.shape[1]
training_percent = 70
print "\... | 0.303938 | 0.416797 |
from typing import Iterable, Tuple, Optional
import torch
import numpy as np
from tqdm import tqdm
import sys
sys.path.append('..')
from ltss.utils import read_records_csv, reshape_vector, flatten_vector
from ltss.vectorise import vectorise_record
class DataHandler(object):
"""
Contains logic for loading d... | training/loader.py | from typing import Iterable, Tuple, Optional
import torch
import numpy as np
from tqdm import tqdm
import sys
sys.path.append('..')
from ltss.utils import read_records_csv, reshape_vector, flatten_vector
from ltss.vectorise import vectorise_record
class DataHandler(object):
"""
Contains logic for loading d... | 0.864282 | 0.606498 |
from posixpath import expanduser
from typing import Dict
from lpulive.lpulive_urls import (GET_CAHAT_MEMBERS_URL, GET_CONVRSATION_URL, GET_MESSAGES_THREADS_URL,
GET_MESSAGES_URL, GET_WORKSPACE_DETAIL_URL,
LOGIN_URL, LOGIN_VIA_TOKEN_URL, SEARCH_URL,
... | lpulive/lpulive_main.py | from posixpath import expanduser
from typing import Dict
from lpulive.lpulive_urls import (GET_CAHAT_MEMBERS_URL, GET_CONVRSATION_URL, GET_MESSAGES_THREADS_URL,
GET_MESSAGES_URL, GET_WORKSPACE_DETAIL_URL,
LOGIN_URL, LOGIN_VIA_TOKEN_URL, SEARCH_URL,
... | 0.437583 | 0.052328 |
import os, sys, datetime, re, cPickle, gzip, time, csv, glob
from cartography.geometry import Geometry, Point, LinearRing, Polygon
from cartography.proj.srs import SpatialReference
from jpltime import adoytoaymd
GRANULE_RE = re.compile(r'^(M(?:Y|O)D).*?\.(A\d{7}\.\d{4})')
CSV_LINE = "%s,%f,%f,%f,%f,%s,%s"
dataDirs ... | scripts/dumpCSV_MODIS.py | import os, sys, datetime, re, cPickle, gzip, time, csv, glob
from cartography.geometry import Geometry, Point, LinearRing, Polygon
from cartography.proj.srs import SpatialReference
from jpltime import adoytoaymd
GRANULE_RE = re.compile(r'^(M(?:Y|O)D).*?\.(A\d{7}\.\d{4})')
CSV_LINE = "%s,%f,%f,%f,%f,%s,%s"
dataDirs ... | 0.306527 | 0.232354 |
import pyyjj
import json
from contextlib import contextmanager
from sqlalchemy import inspect, types, TypeDecorator
import kungfu.wingchun.constants as wc_constants
def make_url(location, filename):
db_file = location.locator.layout_file(location, pyyjj.layout.SQLITE, filename)
return 'sqlite:///{}'.format(db_... | core/python/kungfu/data/sqlite/__init__.py | import pyyjj
import json
from contextlib import contextmanager
from sqlalchemy import inspect, types, TypeDecorator
import kungfu.wingchun.constants as wc_constants
def make_url(location, filename):
db_file = location.locator.layout_file(location, pyyjj.layout.SQLITE, filename)
return 'sqlite:///{}'.format(db_... | 0.706393 | 0.239283 |
from tkinter import *
from tkinter import ttk, messagebox
from sqlite3 import Error, connect
import os
def agenda():
"""
#### Estabelece a conexão com o banco de dados Agenda.db
"""
dirdb = os.path.dirname(__file__)
nomedb = dirdb + '/Agenda.db'
con = connect(nomedb)
return con
def l... | projetos/Agenda/libagenda.py |
from tkinter import *
from tkinter import ttk, messagebox
from sqlite3 import Error, connect
import os
def agenda():
"""
#### Estabelece a conexão com o banco de dados Agenda.db
"""
dirdb = os.path.dirname(__file__)
nomedb = dirdb + '/Agenda.db'
con = connect(nomedb)
return con
def l... | 0.485844 | 0.192444 |
# reference about how f2py and cython modules coexists:
# https://stackoverflow.com/questions/7932028/setup-py-for-packages-that-depend-on-both-cython-and-f2py
from setuptools import setup
import numpy as np
try:
from Cython.Build import cythonize
dynprog_ext_modules = cythonize(['graphflow/pagerank/cpageran... | setup.py |
# reference about how f2py and cython modules coexists:
# https://stackoverflow.com/questions/7932028/setup-py-for-packages-that-depend-on-both-cython-and-f2py
from setuptools import setup
import numpy as np
try:
from Cython.Build import cythonize
dynprog_ext_modules = cythonize(['graphflow/pagerank/cpageran... | 0.732018 | 0.37734 |
from selenium import webdriver
import threading
import queue
import time
import requests
import json
import pymongo
song_hash_queue = queue.Queue()
ROOT_URL = 'http://www.kugou.com/yy/special/index/1-3-0.html'
PLAY_URL = 'http://www.kugou.com/yy/index.php?r=play/getdata&hash=' #1FF3CB3D374E44AAC3AC98BE047748E3
SHOW_BR... | python_demo_v1/spider/spider_kugou_song.py | from selenium import webdriver
import threading
import queue
import time
import requests
import json
import pymongo
song_hash_queue = queue.Queue()
ROOT_URL = 'http://www.kugou.com/yy/special/index/1-3-0.html'
PLAY_URL = 'http://www.kugou.com/yy/index.php?r=play/getdata&hash=' #1FF3CB3D374E44AAC3AC98BE047748E3
SHOW_BR... | 0.253676 | 0.047206 |
def transcript(input_lang, output_lang, word, engine):
if input_lang=="en" and output_lang=="ru":
print("In future.")
if input_lang=="ru" and output_lang=="en":
new_word_letters=[]
word_chars=list(word)
if engine=="2":
for letter in word_chars:
... | res/transcriptor.py | def transcript(input_lang, output_lang, word, engine):
if input_lang=="en" and output_lang=="ru":
print("In future.")
if input_lang=="ru" and output_lang=="en":
new_word_letters=[]
word_chars=list(word)
if engine=="2":
for letter in word_chars:
... | 0.050647 | 0.169166 |
from shapely.geometry import Polygon
from shapely.geometry import Point, LineString
from shapely.geometry import MultiLineString
from shapely.ops import linemerge, split, nearest_points
from scipy.stats import multivariate_normal
import numpy as np
import geopandas as gpd
import pandas as pd
import json
from observ... | tmmpy/track_simulation.py | from shapely.geometry import Polygon
from shapely.geometry import Point, LineString
from shapely.geometry import MultiLineString
from shapely.ops import linemerge, split, nearest_points
from scipy.stats import multivariate_normal
import numpy as np
import geopandas as gpd
import pandas as pd
import json
from observ... | 0.667039 | 0.539832 |
from itertools import chain
from typing import List
# Scikit-optimize has a wide range of useful sampling functions, see below link
# https://scikit-optimize.github.io/stable/auto_examples/sampler/initial-sampling-method.html
import skopt
import pygosolnp
# The Sampling class is an abstract class that can be inher... | python_examples/example_grid_sampling.py |
from itertools import chain
from typing import List
# Scikit-optimize has a wide range of useful sampling functions, see below link
# https://scikit-optimize.github.io/stable/auto_examples/sampler/initial-sampling-method.html
import skopt
import pygosolnp
# The Sampling class is an abstract class that can be inher... | 0.91376 | 0.665574 |
import unittest
from flask import json
from tests.base_test import BaseTest
from app import db
from app.model.chain_step import ChainStep
from app.model.questionnaires.chain_session_step import ChainSessionStep
class TestChainStep(BaseTest, unittest.TestCase):
def test_chain_step_basics(self):
self.con... | backend/tests/test_chain_steps.py | import unittest
from flask import json
from tests.base_test import BaseTest
from app import db
from app.model.chain_step import ChainStep
from app.model.questionnaires.chain_session_step import ChainSessionStep
class TestChainStep(BaseTest, unittest.TestCase):
def test_chain_step_basics(self):
self.con... | 0.459561 | 0.450843 |
from multiprocessing import Event, Lock, Process
import datetime
import json
from vesper.django.app.models import Job
from vesper.util.bunch import Bunch
from vesper.util.repeating_timer import RepeatingTimer
import vesper.command.job_runner as job_runner
import vesper.util.archive_lock as archive_lock
import vesper.u... | vesper/command/job_manager.py | from multiprocessing import Event, Lock, Process
import datetime
import json
from vesper.django.app.models import Job
from vesper.util.bunch import Bunch
from vesper.util.repeating_timer import RepeatingTimer
import vesper.command.job_runner as job_runner
import vesper.util.archive_lock as archive_lock
import vesper.u... | 0.600188 | 0.162579 |
from math import exp, cos, sin, sqrt
from pathlib import Path
# AHA imports
import magma as m
# msdsl imports
from ..common import *
from msdsl import MixedSignalModel, VerilogGenerator, AnalogSignal, Deriv
NAME = Path(__file__).stem.split('_')[1]
BUILD_DIR = Path(__file__).resolve().parent / 'build'
def pytest_gen... | tests/rlc/test_rlc.py | from math import exp, cos, sin, sqrt
from pathlib import Path
# AHA imports
import magma as m
# msdsl imports
from ..common import *
from msdsl import MixedSignalModel, VerilogGenerator, AnalogSignal, Deriv
NAME = Path(__file__).stem.split('_')[1]
BUILD_DIR = Path(__file__).resolve().parent / 'build'
def pytest_gen... | 0.365004 | 0.258577 |
import torch
import numpy as np
import pandas as pd
import os
from DBN import DBN
from load_dataset import MNIST
import cv2
from PIL import Image
from matplotlib import pyplot as plt
def image_beautifier(names, final_name):
image_names = sorted(names)
images = [Image.open(x) for x in names]
widths, heights = zip(*... | test_MNIST_DBN_example.py | import torch
import numpy as np
import pandas as pd
import os
from DBN import DBN
from load_dataset import MNIST
import cv2
from PIL import Image
from matplotlib import pyplot as plt
def image_beautifier(names, final_name):
image_names = sorted(names)
images = [Image.open(x) for x in names]
widths, heights = zip(*... | 0.298594 | 0.350088 |
from pathlib import Path
from io import StringIO
import numpy as np
import pandas as pd
import requests
def import_and_clean_cases(save_path: Path) -> pd.DataFrame:
'''
Import and clean case data from covidtracking.com.
'''
# Parameters for filtering raw df
kept_columns = ['date','state','positi... | us_states_validation/etl.py | from pathlib import Path
from io import StringIO
import numpy as np
import pandas as pd
import requests
def import_and_clean_cases(save_path: Path) -> pd.DataFrame:
'''
Import and clean case data from covidtracking.com.
'''
# Parameters for filtering raw df
kept_columns = ['date','state','positi... | 0.541166 | 0.405213 |
import csv
import os
import shutil
import tempfile
from unittest import TestCase
from src.extractor import extract_dot_text, extract_dot_text_to_file, \
extract_function_to_file, get_opcode
PREFIX = "BCCFLT_"
class TestExtractor(TestCase):
tmpdir: str = None
file: str = "./resources/tempfile"
expect... | tests/extractor_tests.py | import csv
import os
import shutil
import tempfile
from unittest import TestCase
from src.extractor import extract_dot_text, extract_dot_text_to_file, \
extract_function_to_file, get_opcode
PREFIX = "BCCFLT_"
class TestExtractor(TestCase):
tmpdir: str = None
file: str = "./resources/tempfile"
expect... | 0.141845 | 0.115636 |
import argparse
import numpy as np
import scipy.io as sio
from niio import loaded
import os
from fragmenter import RegionExtractor as re
from congrads import conmap
parser = argparse.ArgumentParser()
parser.add_argument('-s', '--subject',
help='Input subject name.',
r... | bin/eta2_regions.py | import argparse
import numpy as np
import scipy.io as sio
from niio import loaded
import os
from fragmenter import RegionExtractor as re
from congrads import conmap
parser = argparse.ArgumentParser()
parser.add_argument('-s', '--subject',
help='Input subject name.',
r... | 0.499512 | 0.179207 |
import flask
import os
import sendgrid
import orton_restitution
app = flask.Flask(__name__)
app.secret_key = os.getenv('SECRET_KEY')
@app.route('/')
def index():
"""Index page."""
return flask.render_template('index.html')
@app.route('/send-email', methods=['POST'])
def send_email():
email = flask.request.for... | web.py |
import flask
import os
import sendgrid
import orton_restitution
app = flask.Flask(__name__)
app.secret_key = os.getenv('SECRET_KEY')
@app.route('/')
def index():
"""Index page."""
return flask.render_template('index.html')
@app.route('/send-email', methods=['POST'])
def send_email():
email = flask.request.for... | 0.21917 | 0.049474 |
from pycont import Contract, Template, TemplateError
import unittest
import trafaret as t
class TestValidator(unittest.TestCase):
def test_template(self):
with self.assertRaises(ValueError):
template = Template('error')
trafaret = t.String()
template = Template(trafaret)
... | tests/test_validator.py | from pycont import Contract, Template, TemplateError
import unittest
import trafaret as t
class TestValidator(unittest.TestCase):
def test_template(self):
with self.assertRaises(ValueError):
template = Template('error')
trafaret = t.String()
template = Template(trafaret)
... | 0.483648 | 0.598723 |
import json
import shlex
from abc import abstractmethod
from contextlib import contextmanager
from copy import deepcopy
from os import getenv, getcwd, chdir, environ
from os.path import join, basename, normpath, abspath
from typing import Optional, List, Generator, Dict, Tuple, Union
import click
from jsonschema.val... | gameta/context.py | import json
import shlex
from abc import abstractmethod
from contextlib import contextmanager
from copy import deepcopy
from os import getenv, getcwd, chdir, environ
from os.path import join, basename, normpath, abspath
from typing import Optional, List, Generator, Dict, Tuple, Union
import click
from jsonschema.val... | 0.750553 | 0.207917 |
from __future__ import annotations
from datetime import date, datetime, time
from decimal import Decimal
from typing import Any
from watchmen_data_kernel.common import ask_all_date_formats, ask_full_datetime_formats, ask_time_formats, \
DataKernelException
from watchmen_model.admin import Factor, FactorType
from wat... | packages/watchmen-data-kernel/src/watchmen_data_kernel/topic_schema/utils.py | from __future__ import annotations
from datetime import date, datetime, time
from decimal import Decimal
from typing import Any
from watchmen_data_kernel.common import ask_all_date_formats, ask_full_datetime_formats, ask_time_formats, \
DataKernelException
from watchmen_model.admin import Factor, FactorType
from wat... | 0.528777 | 0.283386 |
from selfea.utils.data_structure_utils import return_indices, get_max_value_key, get_min_value_key
from selfea.utils.dask_clients import ClientFuture
from selfea.core._feature_evaluator import FeatureEvaluator
from selfea.default_models.default_xgboost_regressor import DefaultXGBoostRegressor
from collections import de... | selfea/selfea.py | from selfea.utils.data_structure_utils import return_indices, get_max_value_key, get_min_value_key
from selfea.utils.dask_clients import ClientFuture
from selfea.core._feature_evaluator import FeatureEvaluator
from selfea.default_models.default_xgboost_regressor import DefaultXGBoostRegressor
from collections import de... | 0.200245 | 0.187226 |
import json
import multiprocessing
import time
import requests
import snappi
from flask import Flask, Response, request
from otg_gnmi.common.utils import init_logging, get_current_time
from tests.utils.common import get_mockserver_status
from tests.utils.settings import MockConfig
app = Flask(__name__)
CONFIG = Mock... | tests/snappiserver.py | import json
import multiprocessing
import time
import requests
import snappi
from flask import Flask, Response, request
from otg_gnmi.common.utils import init_logging, get_current_time
from tests.utils.common import get_mockserver_status
from tests.utils.settings import MockConfig
app = Flask(__name__)
CONFIG = Mock... | 0.408631 | 0.068226 |
import tornado.web
import tornado.websocket
import tornado.httpserver
import tornado.ioloop
import logging
import json
from threading import Thread
from queue import Queue
# Handle WebSocket clients
clients = []
class WebSocketHandler(tornado.websocket.WebSocketHandler):
""" Handle default WebSocket connections... | lib/WebSocketServer.py | import tornado.web
import tornado.websocket
import tornado.httpserver
import tornado.ioloop
import logging
import json
from threading import Thread
from queue import Queue
# Handle WebSocket clients
clients = []
class WebSocketHandler(tornado.websocket.WebSocketHandler):
""" Handle default WebSocket connections... | 0.53437 | 0.074164 |
"""Handling of build perf test reports"""
from collections import OrderedDict, Mapping, namedtuple
from datetime import datetime, timezone
from numbers import Number
from statistics import mean, stdev, variance
AggregateTestData = namedtuple('AggregateTestData', ['metadata', 'results'])
def isofmt_to_timestamp(stri... | poky/scripts/lib/build_perf/report.py | """Handling of build perf test reports"""
from collections import OrderedDict, Mapping, namedtuple
from datetime import datetime, timezone
from numbers import Number
from statistics import mean, stdev, variance
AggregateTestData = namedtuple('AggregateTestData', ['metadata', 'results'])
def isofmt_to_timestamp(stri... | 0.701509 | 0.418697 |
import numpy as np
import warnings
from scipy import sparse
from sklearn.utils import (check_array, check_consistent_length)
from sklearn.cluster import DBSCAN as DBSCAN_original
import daal4py
from daal4py.sklearn._utils import (make2d, getFPType)
def _daal_dbscan(X, eps=0.5, min_samples=5, sample_weight=None):
... | daal4py/sklearn/cluster/_dbscan_0_21.py |
import numpy as np
import warnings
from scipy import sparse
from sklearn.utils import (check_array, check_consistent_length)
from sklearn.cluster import DBSCAN as DBSCAN_original
import daal4py
from daal4py.sklearn._utils import (make2d, getFPType)
def _daal_dbscan(X, eps=0.5, min_samples=5, sample_weight=None):
... | 0.84489 | 0.59514 |
from __future__ import annotations
import typing
import enum
from pantra.components.context import Context
from pantra.models.types import *
from pantra.common import ADict, WebUnits
if typing.TYPE_CHECKING:
from typing import *
from pantra.models.runtime import AttrInfo
from pantra.components.context im... | components/Widgets/__init__.py | from __future__ import annotations
import typing
import enum
from pantra.components.context import Context
from pantra.models.types import *
from pantra.common import ADict, WebUnits
if typing.TYPE_CHECKING:
from typing import *
from pantra.models.runtime import AttrInfo
from pantra.components.context im... | 0.438905 | 0.122235 |
# Standard library imports
import pkg_resources
# Third party imports
import pytest
from qtpy.QtCore import QObject, Signal, Slot
# Local imports
from spyder.plugins.completion.api import (
SpyderCompletionProvider, CompletionRequestTypes)
class DummyCompletionReceiver(QObject):
"""Dummy class that can hand... | spyder/plugins/completion/tests/test_plugin.py | # Standard library imports
import pkg_resources
# Third party imports
import pytest
from qtpy.QtCore import QObject, Signal, Slot
# Local imports
from spyder.plugins.completion.api import (
SpyderCompletionProvider, CompletionRequestTypes)
class DummyCompletionReceiver(QObject):
"""Dummy class that can hand... | 0.637595 | 0.390883 |
"""This program helps organize and version your dot files with Git."""
import homekeeper.config
import homekeeper.util
import logging
import os
import shutil
__version__ = '3.2.0'
class Homekeeper(object):
"""Organizes and versions your dot files."""
def __init__(self, pathname=None):
self.pathname =... | homekeeper/__init__.py | """This program helps organize and version your dot files with Git."""
import homekeeper.config
import homekeeper.util
import logging
import os
import shutil
__version__ = '3.2.0'
class Homekeeper(object):
"""Organizes and versions your dot files."""
def __init__(self, pathname=None):
self.pathname =... | 0.715523 | 0.184676 |
from __future__ import absolute_import
import os
import shutil
import hashlib
import stat
import re
from git.repo import Repo
from gitdb.exc import BadName, BadObject
from lockfile import LockFile
from st2common import log as logging
from st2common.content import utils
from st2common.constants.pack import MANIFEST_F... | st2common/st2common/util/pack_management.py | from __future__ import absolute_import
import os
import shutil
import hashlib
import stat
import re
from git.repo import Repo
from gitdb.exc import BadName, BadObject
from lockfile import LockFile
from st2common import log as logging
from st2common.content import utils
from st2common.constants.pack import MANIFEST_F... | 0.518302 | 0.091301 |
"""Helper functions for the Keras implementations of models."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import multiprocessing
import os
import time
from absl import logging
import tensorflow as tf
from tensorflow.core.protobuf import rewriter_conf... | image_classification/tensorflow2/tf2_common/utils/misc/keras_utils.py | """Helper functions for the Keras implementations of models."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import multiprocessing
import os
import time
from absl import logging
import tensorflow as tf
from tensorflow.core.protobuf import rewriter_conf... | 0.862901 | 0.422266 |
from pprint import pprint
from marshmallow import fields, Schema, ValidationError, validate, validates, validates_schema
class PersonSchema(Schema):
first_name = fields.String(required=True, error_messages={"required": "Please enter first name"})
last_name = fields.String(allow_none=None)
email = fields.E... | schema_validation.py | from pprint import pprint
from marshmallow import fields, Schema, ValidationError, validate, validates, validates_schema
class PersonSchema(Schema):
first_name = fields.String(required=True, error_messages={"required": "Please enter first name"})
last_name = fields.String(allow_none=None)
email = fields.E... | 0.373304 | 0.231951 |
import random
class Converter(object):
def dec2bin(self, decimal):
if type(decimal).__name__ == 'str':
print "Error type : Not a integer"
return 0
digit = 1
binary = 0
decimal = int(decimal)
while decimal != 0:
binary = binary + (... | crc/PyCRC-master/pycrc/crclib.py | import random
class Converter(object):
def dec2bin(self, decimal):
if type(decimal).__name__ == 'str':
print "Error type : Not a integer"
return 0
digit = 1
binary = 0
decimal = int(decimal)
while decimal != 0:
binary = binary + (... | 0.500488 | 0.191914 |
import datetime
import random
import re
import ssl
import typing
import aiohttp
from vkquick.json_parsers import json_parser_policy
def random_id(side: int = 2 ** 31 - 1) -> int:
"""
Случайное число в диапазоне +-`side`.
Используется для API метода `messages.send`
"""
return random.randint(-side... | vkquick/chatbot/utils.py | import datetime
import random
import re
import ssl
import typing
import aiohttp
from vkquick.json_parsers import json_parser_policy
def random_id(side: int = 2 ** 31 - 1) -> int:
"""
Случайное число в диапазоне +-`side`.
Используется для API метода `messages.send`
"""
return random.randint(-side... | 0.521715 | 0.218294 |
__AUTHOR__ = "hugsy"
__VERSION__ = 0.1
import os
import gdb
def fastbin_index(sz):
return (sz >> 4) - 2 if current_arch.ptrsize == 8 else (sz >> 3) - 2
def nfastbins():
return fastbin_index( (80 * current_arch.ptrsize // 4)) - 1
def get_tcache_count():
if get_libc_version() < (2, 27):
return ... | scripts/visualize_heap.py | __AUTHOR__ = "hugsy"
__VERSION__ = 0.1
import os
import gdb
def fastbin_index(sz):
return (sz >> 4) - 2 if current_arch.ptrsize == 8 else (sz >> 3) - 2
def nfastbins():
return fastbin_index( (80 * current_arch.ptrsize // 4)) - 1
def get_tcache_count():
if get_libc_version() < (2, 27):
return ... | 0.270769 | 0.173954 |
from unittest import TestCase
from unittest.mock import Mock, call, patch
import os
import sys
sys.path.append(os.path.abspath('./src'))
from pkgs.ui.models.ctrlrModel import CtrlrModel # noqa: E402
class TestCtrlrModel(TestCase):
"""
CtrlrModel test cases.
"""
def setUp(self):
"""
... | tests/unit/pkgs/ui/models/ctrlrModel/test_CtrlrModel.py | from unittest import TestCase
from unittest.mock import Mock, call, patch
import os
import sys
sys.path.append(os.path.abspath('./src'))
from pkgs.ui.models.ctrlrModel import CtrlrModel # noqa: E402
class TestCtrlrModel(TestCase):
"""
CtrlrModel test cases.
"""
def setUp(self):
"""
... | 0.490968 | 0.326191 |
import unittest
import time
from app import create_app,db
from app.models import User,AnonymousUser,Role,Permission
class UserModelTestCase(unittest.TestCase):
def setUp(self):
self.app = create_app('testing')
self.app_context = self.app.app_context()
self.app_context.push()
... | tests/test_user_model.py | import unittest
import time
from app import create_app,db
from app.models import User,AnonymousUser,Role,Permission
class UserModelTestCase(unittest.TestCase):
def setUp(self):
self.app = create_app('testing')
self.app_context = self.app.app_context()
self.app_context.push()
... | 0.325199 | 0.270112 |
import json
from . import db
import pandas as pd
from datetime import datetime
from geoalchemy2 import functions
from geoalchemy2.types import Geometry
from flask import current_app, request, url_for
from .errors import AlreadyExistsError
class BaseExtension(db.MapperExtension):
"""Base extension for all entities... | app/models.py | import json
from . import db
import pandas as pd
from datetime import datetime
from geoalchemy2 import functions
from geoalchemy2.types import Geometry
from flask import current_app, request, url_for
from .errors import AlreadyExistsError
class BaseExtension(db.MapperExtension):
"""Base extension for all entities... | 0.763836 | 0.138899 |
import numpy as np
from ..helpers import numerical_test
__all__ = (
'central_moment',
'mean',
'median',
'mode',
'standard_deviation',
'standard_moment',
)
def mean(dist):
"""
Computes the mean of the distribution.
Parameters
----------
dist : Distribution
The di... | dit/algorithms/stats.py | import numpy as np
from ..helpers import numerical_test
__all__ = (
'central_moment',
'mean',
'median',
'mode',
'standard_deviation',
'standard_moment',
)
def mean(dist):
"""
Computes the mean of the distribution.
Parameters
----------
dist : Distribution
The di... | 0.934887 | 0.871037 |
import pprint
import re # noqa: F401
import six
class Quote(object):
"""NOTE: This class is auto generated by OpenAPI Generator.
Ref: https://openapi-generator.tech
Do not edit the class manually.
"""
"""
Attributes:
openapi_types (dict): The key is attribute name
... | sdk/lusid/models/quote.py | import pprint
import re # noqa: F401
import six
class Quote(object):
"""NOTE: This class is auto generated by OpenAPI Generator.
Ref: https://openapi-generator.tech
Do not edit the class manually.
"""
"""
Attributes:
openapi_types (dict): The key is attribute name
... | 0.835618 | 0.128388 |
import os
import re
import codecs
from setuptools import setup
from setuptools import find_packages
PROJECT = os.path.abspath(os.path.dirname(__file__))
REQUIRE_PATH = "requirements.txt"
EXCLUDES = (
"tests", "bin", "docs", "fixtures", "register", "notebooks", "examples",
)
long_description = open('README.rs... | setup.py | import os
import re
import codecs
from setuptools import setup
from setuptools import find_packages
PROJECT = os.path.abspath(os.path.dirname(__file__))
REQUIRE_PATH = "requirements.txt"
EXCLUDES = (
"tests", "bin", "docs", "fixtures", "register", "notebooks", "examples",
)
long_description = open('README.rs... | 0.423935 | 0.167866 |
import sys
import unittest
from pyasn1.codec.der.decoder import decode as der_decoder
from pyasn1.codec.der.encoder import encode as der_encoder
from pyasn1.type import univ
from pyasn1_modules import pem, rfc2985, rfc5280, rfc5652, rfc7292
class PKCS9AttrsTestCase(unittest.TestCase):
pem_text = """\
<KEY>
"""
... | tests/test_rfc2985.py | import sys
import unittest
from pyasn1.codec.der.decoder import decode as der_decoder
from pyasn1.codec.der.encoder import encode as der_encoder
from pyasn1.type import univ
from pyasn1_modules import pem, rfc2985, rfc5280, rfc5652, rfc7292
class PKCS9AttrsTestCase(unittest.TestCase):
pem_text = """\
<KEY>
"""
... | 0.412767 | 0.47098 |
import sys
from com.l2jserver import Config
from com.l2jserver.gameserver.model.quest import State
from com.l2jserver.gameserver.model.quest import QuestState
from com.l2jserver.gameserver.model.quest.jython import QuestJython as JQuest
qn = "426_FishingShot"
SWEET_FLUID = 7586
MOBS1 = {
20005:45,20013:100,20016:... | L2J_DataPack/data/scripts/quests/426_FishingShot/__init__.py | import sys
from com.l2jserver import Config
from com.l2jserver.gameserver.model.quest import State
from com.l2jserver.gameserver.model.quest import QuestState
from com.l2jserver.gameserver.model.quest.jython import QuestJython as JQuest
qn = "426_FishingShot"
SWEET_FLUID = 7586
MOBS1 = {
20005:45,20013:100,20016:... | 0.204501 | 0.24907 |
#input modules
import datetime
#imports
from flask_restful import Resource
from flask import request, make_response, jsonify
#local import
from app.api.v2.utilis.validations import CheckData
from app.api.v2.models.questions import QuestionsModel
from app.api.v2.models.meetup import MeetUp
#error messages
empty_questio... | app/api/v2/views/questionsviews.py | #input modules
import datetime
#imports
from flask_restful import Resource
from flask import request, make_response, jsonify
#local import
from app.api.v2.utilis.validations import CheckData
from app.api.v2.models.questions import QuestionsModel
from app.api.v2.models.meetup import MeetUp
#error messages
empty_questio... | 0.218003 | 0.167185 |
from abc import ABC, abstractmethod
from typing import Dict, Generic, Iterable, Optional, TypeVar, Union
VT = Union[
str, int, float, bool, "Config", Dict[str, Union[str, int, float, bool]]
]
FT = TypeVar("FT", bound="VT")
RawConfig = Dict[str, VT]
class Field(ABC, Generic[FT]):
def __init__(
self,... | src/config/abc.py | from abc import ABC, abstractmethod
from typing import Dict, Generic, Iterable, Optional, TypeVar, Union
VT = Union[
str, int, float, bool, "Config", Dict[str, Union[str, int, float, bool]]
]
FT = TypeVar("FT", bound="VT")
RawConfig = Dict[str, VT]
class Field(ABC, Generic[FT]):
def __init__(
self,... | 0.92058 | 0.226249 |
import json
import warnings
import pulumi
import pulumi.runtime
from .. import utilities, tables
class AmiFromInstance(pulumi.CustomResource):
architecture: pulumi.Output[str]
"""
Machine architecture for created instances. Defaults to "x86_64".
"""
description: pulumi.Output[str]
"""
A lo... | sdk/python/pulumi_aws/ec2/ami_from_instance.py |
import json
import warnings
import pulumi
import pulumi.runtime
from .. import utilities, tables
class AmiFromInstance(pulumi.CustomResource):
architecture: pulumi.Output[str]
"""
Machine architecture for created instances. Defaults to "x86_64".
"""
description: pulumi.Output[str]
"""
A lo... | 0.672547 | 0.173183 |
from __future__ import print_function
import numpy as np
from sklearn.base import BaseEstimator, TransformerMixin
from sklearn.datasets import fetch_20newsgroups
from sklearn.datasets.twenty_newsgroups import strip_newsgroup_footer
from sklearn.datasets.twenty_newsgroups import strip_newsgroup_quoting
from sklearn.de... | examples/compose/plot_column_transformer.py | from __future__ import print_function
import numpy as np
from sklearn.base import BaseEstimator, TransformerMixin
from sklearn.datasets import fetch_20newsgroups
from sklearn.datasets.twenty_newsgroups import strip_newsgroup_footer
from sklearn.datasets.twenty_newsgroups import strip_newsgroup_quoting
from sklearn.de... | 0.851614 | 0.499451 |
import os
import os.path
import copy
import hashlib
import errno
import numpy as np
from numpy.testing import assert_array_almost_equal
def check_integrity(fpath, md5):
if not os.path.isfile(fpath):
return False
md5o = hashlib.md5()
with open(fpath, 'rb') as f:
# read in 1MB chunks
... | code/data/data_util.py | import os
import os.path
import copy
import hashlib
import errno
import numpy as np
from numpy.testing import assert_array_almost_equal
def check_integrity(fpath, md5):
if not os.path.isfile(fpath):
return False
md5o = hashlib.md5()
with open(fpath, 'rb') as f:
# read in 1MB chunks
... | 0.515864 | 0.472197 |
from functools import partial
from typing import Callable, Dict
from .. import core
from .. import linear_util as lu
from ..core import Trace, Tracer, new_master
from ..abstract_arrays import ShapedArray, raise_to_shaped
from ..util import safe_map, safe_zip, unzip2, unzip3
map = safe_map
zip = safe_zip
def identi... | jax/interpreters/parallel.py |
from functools import partial
from typing import Callable, Dict
from .. import core
from .. import linear_util as lu
from ..core import Trace, Tracer, new_master
from ..abstract_arrays import ShapedArray, raise_to_shaped
from ..util import safe_map, safe_zip, unzip2, unzip3
map = safe_map
zip = safe_zip
def identi... | 0.565899 | 0.307943 |
from mqtt import MqttMessage, MqttConfigMessage
from workers.base import BaseWorker
import logger
REQUIREMENTS = ["python-smartgadget"]
ATTR_CONFIG = [
# (attribute_name, device_class, unit_of_measurement)
("temperature", "temperature", "°C"),
("humidity", "humidity", "%"),
("battery_level", "battery... | workers/smartgadget.py | from mqtt import MqttMessage, MqttConfigMessage
from workers.base import BaseWorker
import logger
REQUIREMENTS = ["python-smartgadget"]
ATTR_CONFIG = [
# (attribute_name, device_class, unit_of_measurement)
("temperature", "temperature", "°C"),
("humidity", "humidity", "%"),
("battery_level", "battery... | 0.379263 | 0.1425 |
import torch
import torch.nn as nn
import torch.nn.functional as F
import dgl
"""
Graph Transformer
"""
from layers.graph_transformer_layer import GraphTransformerLayer
from layers.mlp_readout_layer import MLPReadout
class GraphTransformerNet(nn.Module):
def __init__(self, net_params):
super().... | nets/SBMs_node_classification/graph_transformer_net.py | import torch
import torch.nn as nn
import torch.nn.functional as F
import dgl
"""
Graph Transformer
"""
from layers.graph_transformer_layer import GraphTransformerLayer
from layers.mlp_readout_layer import MLPReadout
class GraphTransformerNet(nn.Module):
def __init__(self, net_params):
super().... | 0.908364 | 0.297741 |
import torch, pdb, os, json
from shared import _cat_
import numpy as np
from model import OptionInfer, Scorer
from collections import defaultdict
def get_model(path, cuda=True):
opt = OptionInfer(cuda)
if path.endswith('.yaml') or path.endswith('.yml'):
from model import JointScorer
model = Jo... | src/score.py | import torch, pdb, os, json
from shared import _cat_
import numpy as np
from model import OptionInfer, Scorer
from collections import defaultdict
def get_model(path, cuda=True):
opt = OptionInfer(cuda)
if path.endswith('.yaml') or path.endswith('.yml'):
from model import JointScorer
model = Jo... | 0.446736 | 0.242015 |
# ============= enthought library imports =======================
from reportlab.lib.pagesizes import A4, letter, landscape, A2, A0
from reportlab.lib.units import inch, cm
from traits.api import Str, Bool, Enum, Button, Float, Color
from traitsui.api import View, Item, UItem, HGroup, Group, VGroup, spring, Spring
fr... | pychron/core/pdf/options.py |
# ============= enthought library imports =======================
from reportlab.lib.pagesizes import A4, letter, landscape, A2, A0
from reportlab.lib.units import inch, cm
from traits.api import Str, Bool, Enum, Button, Float, Color
from traitsui.api import View, Item, UItem, HGroup, Group, VGroup, spring, Spring
fr... | 0.520009 | 0.134406 |
import os
import shlex
import shutil
from abc import ABCMeta, abstractmethod
from glob import glob
from . import util
_modulefile_template = """#%%Module1.0
set MODULENAME [ file tail [ file dirname $ModulesCurrentModulefile ] ]
set MODULEVERSION [ file tail $ModulesCurrentModulefile ]
set MODULEBASE %s
set basedir $... | moduledev/module.py | import os
import shlex
import shutil
from abc import ABCMeta, abstractmethod
from glob import glob
from . import util
_modulefile_template = """#%%Module1.0
set MODULENAME [ file tail [ file dirname $ModulesCurrentModulefile ] ]
set MODULEVERSION [ file tail $ModulesCurrentModulefile ]
set MODULEBASE %s
set basedir $... | 0.622115 | 0.107063 |
import itertools
import gzip
import json
import shutil
from pathlib import Path
from typing import Iterable, Generator, List, Callable, TypeVar, Optional, Union, Any
def gzip_unpack(input_file: str, output_file: str):
with gzip.open(input_file, "rb") as packed:
with open(output_file, "wb") as unpacked:
... | utils/functions.py | import itertools
import gzip
import json
import shutil
from pathlib import Path
from typing import Iterable, Generator, List, Callable, TypeVar, Optional, Union, Any
def gzip_unpack(input_file: str, output_file: str):
with gzip.open(input_file, "rb") as packed:
with open(output_file, "wb") as unpacked:
... | 0.783409 | 0.303113 |
from __future__ import print_function
import re, atexit
@atexit.register
def graceful_exit():
from platform import system
if system() == 'Windows':
raw_input('Press enter to close the window...')
# add tab completion to raw_input, for those platforms that support it
try:
import readline
if 'libedit'... | simulator.py | from __future__ import print_function
import re, atexit
@atexit.register
def graceful_exit():
from platform import system
if system() == 'Windows':
raw_input('Press enter to close the window...')
# add tab completion to raw_input, for those platforms that support it
try:
import readline
if 'libedit'... | 0.116512 | 0.066904 |
import os
import re
from django import forms
from django.conf import settings
from django.forms import ModelForm
from django.forms.models import modelformset_factory
from django.template import Context, Template, TemplateSyntaxError
import commonware.log
import happyforms
from piston.models import Consumer
from produ... | src/olympia/zadmin/forms.py | import os
import re
from django import forms
from django.conf import settings
from django.forms import ModelForm
from django.forms.models import modelformset_factory
from django.template import Context, Template, TemplateSyntaxError
import commonware.log
import happyforms
from piston.models import Consumer
from produ... | 0.427397 | 0.088583 |
import itertools
COLOR_WILD = 0
COLOR_RED = 1
COLOR_YELLOW = 2
COLOR_GREEN = 3
COLOR_BLUE = 4
CARD_0 = 0
CARD_1 = 1
CARD_2 = 2
CARD_3 = 3
CARD_4 = 4
CARD_5 = 5
CARD_6 = 6
CARD_7 = 7
CARD_8 = 8
CARD_9 = 9
CARD_SKIP = 10
CARD_REVERSE = 11
CARD_DRAWTWO = 12
CARD_WILD = 13
CARD_DRAWFOUR = 14
CARD_DRAWEIGHT = 15
CARD_SHU... | modules/games/uno_vars.py | import itertools
COLOR_WILD = 0
COLOR_RED = 1
COLOR_YELLOW = 2
COLOR_GREEN = 3
COLOR_BLUE = 4
CARD_0 = 0
CARD_1 = 1
CARD_2 = 2
CARD_3 = 3
CARD_4 = 4
CARD_5 = 5
CARD_6 = 6
CARD_7 = 7
CARD_8 = 8
CARD_9 = 9
CARD_SKIP = 10
CARD_REVERSE = 11
CARD_DRAWTWO = 12
CARD_WILD = 13
CARD_DRAWFOUR = 14
CARD_DRAWEIGHT = 15
CARD_SHU... | 0.221267 | 0.0745 |
from moontracker.models import Alert
from tests.utils import test_client
def test_valid_post():
response = test_client.post(
'/',
data={
'phone_number': '5558675309',
'asset': 'BTC',
'market': 'gemini',
'cond_option': '1',
'price': '100'
... | tests/views/test_home.py | from moontracker.models import Alert
from tests.utils import test_client
def test_valid_post():
response = test_client.post(
'/',
data={
'phone_number': '5558675309',
'asset': 'BTC',
'market': 'gemini',
'cond_option': '1',
'price': '100'
... | 0.66061 | 0.393909 |
from __future__ import annotations
from typing import TYPE_CHECKING, Any, Callable, Dict, List, Union
from httpx import AsyncClient
from supertokens_python.recipe.thirdparty.provider import Provider
from supertokens_python.recipe.thirdparty.types import (
AccessTokenAPI, AuthorisationRedirectAPI, UserInfo, UserIn... | supertokens_python/recipe/thirdparty/providers/facebook.py | from __future__ import annotations
from typing import TYPE_CHECKING, Any, Callable, Dict, List, Union
from httpx import AsyncClient
from supertokens_python.recipe.thirdparty.provider import Provider
from supertokens_python.recipe.thirdparty.types import (
AccessTokenAPI, AuthorisationRedirectAPI, UserInfo, UserIn... | 0.789761 | 0.071851 |
import numpy as np
import pandas as pd
import visualisation
from population import Country
def run(n_infected,
total_time,
super_spreader_proportion=0.05,
infection_distance=0.5,
infection_probability=0.1,
return_gif_frames=False,
figsize=(8, 8)):
df = pd.DataFram... | simulation.py | import numpy as np
import pandas as pd
import visualisation
from population import Country
def run(n_infected,
total_time,
super_spreader_proportion=0.05,
infection_distance=0.5,
infection_probability=0.1,
return_gif_frames=False,
figsize=(8, 8)):
df = pd.DataFram... | 0.402392 | 0.302939 |
from __future__ import print_function as _print_function
import sys as _sys
from tensorflow.python.framework.ops import name_scope
from tensorflow.python.keras.backend import abs
from tensorflow.python.keras.backend import all
from tensorflow.python.keras.backend import any
from tensorflow.python.keras.backend import... | cart_venv/Lib/site-packages/tensorflow_core/python/keras/api/keras/backend/__init__.py | from __future__ import print_function as _print_function
import sys as _sys
from tensorflow.python.framework.ops import name_scope
from tensorflow.python.keras.backend import abs
from tensorflow.python.keras.backend import all
from tensorflow.python.keras.backend import any
from tensorflow.python.keras.backend import... | 0.707708 | 0.128826 |
from __future__ import absolute_import, print_function
from sentry import eventstore, nodestore
from sentry.models import Event, EventAttachment, UserReport
from ..base import BaseDeletionTask, BaseRelation, ModelDeletionTask, ModelRelation
class EventDataDeletionTask(BaseDeletionTask):
"""
Deletes nodestor... | src/sentry/deletions/defaults/group.py | from __future__ import absolute_import, print_function
from sentry import eventstore, nodestore
from sentry.models import Event, EventAttachment, UserReport
from ..base import BaseDeletionTask, BaseRelation, ModelDeletionTask, ModelRelation
class EventDataDeletionTask(BaseDeletionTask):
"""
Deletes nodestor... | 0.638046 | 0.141163 |
from abc import ABC, abstractmethod
from collections import OrderedDict
from typing import Any, Dict, Generator, List
from the_census._api.models import GeographyItem
from the_census._geographies.models import GeoDomain
from the_census._variables.models import Group, GroupVariable, VariableCode
class ICensusApiFetch... | the_census/_api/interface.py | from abc import ABC, abstractmethod
from collections import OrderedDict
from typing import Any, Dict, Generator, List
from the_census._api.models import GeographyItem
from the_census._geographies.models import GeoDomain
from the_census._variables.models import Group, GroupVariable, VariableCode
class ICensusApiFetch... | 0.923726 | 0.573678 |
# pylint: disable=C0111
# The documentation is extracted from the base classes
# pylint: disable=E1101,E1102
# We dynamically generate the Button class
# pylint: disable=R0903
# We implement stubs
import enum
import Xlib.display
import Xlib.ext
import Xlib.ext.xtest
import Xlib.X
import Xlib.protocol
from pynput._... | pype/vendor/pynput/mouse/_xorg.py | # pylint: disable=C0111
# The documentation is extracted from the base classes
# pylint: disable=E1101,E1102
# We dynamically generate the Button class
# pylint: disable=R0903
# We implement stubs
import enum
import Xlib.display
import Xlib.ext
import Xlib.ext.xtest
import Xlib.X
import Xlib.protocol
from pynput._... | 0.637031 | 0.115486 |
from sawtooth_processor_test.message_factory import MessageFactory
class XoMessageFactory:
def __init__(self, signer=None):
self._factory = MessageFactory(
family_name="xo",
family_version="1.0",
namespace=MessageFactory.sha512("xo".encode("utf-8"))[0:6],
s... | sdk/examples/xo_python/sawtooth_xo/xo_message_factory.py |
from sawtooth_processor_test.message_factory import MessageFactory
class XoMessageFactory:
def __init__(self, signer=None):
self._factory = MessageFactory(
family_name="xo",
family_version="1.0",
namespace=MessageFactory.sha512("xo".encode("utf-8"))[0:6],
s... | 0.754915 | 0.29682 |
from urllib.request import urlopen, Request
from urllib.parse import urlencode, quote_plus
from bs4 import BeautifulSoup
from django.utils.encoding import smart_str
import threading, random
browsers = ['Mozilla/5.0 (X11; U; Linux x86_64; en-US; rv:1.9.1.3) Gecko/20090913 Firefox/3.5.3',
'Mozilla/5.0 (Window... | BingQuaker/core.py | from urllib.request import urlopen, Request
from urllib.parse import urlencode, quote_plus
from bs4 import BeautifulSoup
from django.utils.encoding import smart_str
import threading, random
browsers = ['Mozilla/5.0 (X11; U; Linux x86_64; en-US; rv:1.9.1.3) Gecko/20090913 Firefox/3.5.3',
'Mozilla/5.0 (Window... | 0.372619 | 0.104843 |
from bootstrapvz.base import Task
from bootstrapvz.common import phases
from bootstrapvz.common.tasks import workspace
from bootstrapvz.common.tools import rel_path
import os
import shutil
import json
assets = rel_path(__file__, 'assets')
class CheckBoxPath(Task):
description = 'Checking if the vagrant box file ... | bootstrapvz/plugins/vagrant/tasks.py | from bootstrapvz.base import Task
from bootstrapvz.common import phases
from bootstrapvz.common.tasks import workspace
from bootstrapvz.common.tools import rel_path
import os
import shutil
import json
assets = rel_path(__file__, 'assets')
class CheckBoxPath(Task):
description = 'Checking if the vagrant box file ... | 0.50293 | 0.099821 |
from sqlalchemy import (
create_engine,
Column,
ForeignKey,
Integer,
String,
PrimaryKeyConstraint,
)
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import relationship
from sqlalchemy.orm import Session
from .common import CHANNELS
Base = declarative_base()
sessio... | src/laptimer/db.py | from sqlalchemy import (
create_engine,
Column,
ForeignKey,
Integer,
String,
PrimaryKeyConstraint,
)
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import relationship
from sqlalchemy.orm import Session
from .common import CHANNELS
Base = declarative_base()
sessio... | 0.59843 | 0.236643 |
import logging
from babel import Locale
from functools import lru_cache
from flask import Blueprint, request, current_app
from flask_babel import gettext, get_locale
from elasticsearch import TransportError
from followthemoney import model
from followthemoney.exc import InvalidData
from jwt import ExpiredSignatureError... | aleph/views/base_api.py | import logging
from babel import Locale
from functools import lru_cache
from flask import Blueprint, request, current_app
from flask_babel import gettext, get_locale
from elasticsearch import TransportError
from followthemoney import model
from followthemoney.exc import InvalidData
from jwt import ExpiredSignatureError... | 0.583678 | 0.109016 |
from __future__ import (
absolute_import,
division,
print_function,
unicode_literals,
)
from builtins import *
from past.builtins import basestring
from ..restsession import RestSession
from ..utils import (
check_type,
apply_path_params,
extract_and_parse_json,
pprint_request_info,
... | dnacentersdk/api/custom_caller.py | from __future__ import (
absolute_import,
division,
print_function,
unicode_literals,
)
from builtins import *
from past.builtins import basestring
from ..restsession import RestSession
from ..utils import (
check_type,
apply_path_params,
extract_and_parse_json,
pprint_request_info,
... | 0.713232 | 0.158272 |
import sys, os
import binascii, sqlite3
## Global Options
gOpts = {
"multiple" : False,
"subdirs" : False,
"force" : False
}
class Message:
def __init__( self, data ):
self.parse_data( data )
def parse_data( self, data ):
self.type = data[ 0 ]
se... | src/smsExtractor.py |
import sys, os
import binascii, sqlite3
## Global Options
gOpts = {
"multiple" : False,
"subdirs" : False,
"force" : False
}
class Message:
def __init__( self, data ):
self.parse_data( data )
def parse_data( self, data ):
self.type = data[ 0 ]
se... | 0.17075 | 0.294995 |
import logging
import uuid
from typing import Callable, Any, Union
import asyncio
from Foundation import NSData, CBUUID
from CoreBluetooth import (
CBCharacteristicWriteWithResponse,
CBCharacteristicWriteWithoutResponse,
)
from bleak.backends.client import BaseBleakClient
from bleak.backends.corebluetooth.cha... | bleak/backends/corebluetooth/client.py | import logging
import uuid
from typing import Callable, Any, Union
import asyncio
from Foundation import NSData, CBUUID
from CoreBluetooth import (
CBCharacteristicWriteWithResponse,
CBCharacteristicWriteWithoutResponse,
)
from bleak.backends.client import BaseBleakClient
from bleak.backends.corebluetooth.cha... | 0.861363 | 0.07538 |
import datetime
import pytz
from pdb import set_trace
import numpy as np
from unittest import TestCase
from .. import segmentize, check_format, compute_seeds, export_graph, \
feature_lines_to_image, compute_feature_lines, extract_training_points
from .helpers import iter_all_files
import os
__dirname__ = os.path.d... | static/server/modules/test/test_overall_process.py | import datetime
import pytz
from pdb import set_trace
import numpy as np
from unittest import TestCase
from .. import segmentize, check_format, compute_seeds, export_graph, \
feature_lines_to_image, compute_feature_lines, extract_training_points
from .helpers import iter_all_files
import os
__dirname__ = os.path.d... | 0.348978 | 0.202739 |
import os
from pathlib import Path
import requests
import errno
import shutil
import hashlib
import zipfile
import logging
from .tqdm import tqdm
logger = logging.getLogger(__name__)
__all__ = ['unzip', 'download', 'mkdir', 'check_sha1', 'raise_num_file']
def unzip(zip_file_path, root=os.path.expanduser('./')):
... | autogluon/utils/files.py | import os
from pathlib import Path
import requests
import errno
import shutil
import hashlib
import zipfile
import logging
from .tqdm import tqdm
logger = logging.getLogger(__name__)
__all__ = ['unzip', 'download', 'mkdir', 'check_sha1', 'raise_num_file']
def unzip(zip_file_path, root=os.path.expanduser('./')):
... | 0.599485 | 0.144269 |
import time
import warnings
from functools import partial
import ast
import numpy as np
import scipy.sparse
from sklearn.model_selection import train_test_split, RepeatedStratifiedKFold, \
RepeatedKFold
from sklearn.utils import shuffle
import pandas as pd
from .ml import compute_estimator, train_estimator, get_cl... | flaml/automl.py | import time
import warnings
from functools import partial
import ast
import numpy as np
import scipy.sparse
from sklearn.model_selection import train_test_split, RepeatedStratifiedKFold, \
RepeatedKFold
from sklearn.utils import shuffle
import pandas as pd
from .ml import compute_estimator, train_estimator, get_cl... | 0.798737 | 0.301144 |
import copy
from django.conf import settings
from django.contrib.admin import ModelAdmin
from django.contrib.admin.views.main import ChangeList
from django.forms import ModelForm
from django.contrib import admin
from django.db import models
from suit.widgets import NumberInput, SuitSplitDateTimeWidget
from suit.compat ... | djangoPharma/env/Lib/site-packages/suit/admin.py | import copy
from django.conf import settings
from django.contrib.admin import ModelAdmin
from django.contrib.admin.views.main import ChangeList
from django.forms import ModelForm
from django.contrib import admin
from django.db import models
from suit.widgets import NumberInput, SuitSplitDateTimeWidget
from suit.compat ... | 0.57093 | 0.142918 |
from unittest.mock import Mock, patch
from homeassistant import config_entries
from homeassistant.components import deconz
from homeassistant.helpers.dispatcher import async_dispatcher_send
from homeassistant.setup import async_setup_component
import homeassistant.components.light as light
from tests.common import m... | tests/components/deconz/test_light.py | from unittest.mock import Mock, patch
from homeassistant import config_entries
from homeassistant.components import deconz
from homeassistant.helpers.dispatcher import async_dispatcher_send
from homeassistant.setup import async_setup_component
import homeassistant.components.light as light
from tests.common import m... | 0.70791 | 0.477981 |
from part1 import (
gamma_board,
gamma_busy_fields,
gamma_delete,
gamma_free_fields,
gamma_golden_move,
gamma_golden_possible,
gamma_move,
gamma_new,
)
"""
scenario: test_random_actions
uuid: 843493331
"""
"""
random actions, total chaos
"""
board = gamma_new(6, 5, 4, 4)
assert board is... | z2/part2/interactive/jm/random_fuzzy_arrows_1/843493331.py | from part1 import (
gamma_board,
gamma_busy_fields,
gamma_delete,
gamma_free_fields,
gamma_golden_move,
gamma_golden_possible,
gamma_move,
gamma_new,
)
"""
scenario: test_random_actions
uuid: 843493331
"""
"""
random actions, total chaos
"""
board = gamma_new(6, 5, 4, 4)
assert board is... | 0.760562 | 0.8874 |
from datamart.materializers.materializer_base import MaterializerBase
import pandas as pd
import typing
import sys
import traceback
import datetime
class TradingEconomicsMarketMaterializer(MaterializerBase):
"""TradingEconomicsMaterializer class extended from Materializer class
"""
def __init__(self, ... | datamart/materializers/tradingeconomics_market_materializer.py | from datamart.materializers.materializer_base import MaterializerBase
import pandas as pd
import typing
import sys
import traceback
import datetime
class TradingEconomicsMarketMaterializer(MaterializerBase):
"""TradingEconomicsMaterializer class extended from Materializer class
"""
def __init__(self, ... | 0.616936 | 0.184143 |
import argparse
import serrant
def main():
# Parse command line args
args = parse_args()
print("Loading resources...")
# Load Errant
annotator = serrant.load("en")
# Open output M2 file
out_m2 = open(args.out, "w")
print("Processing M2 file...")
# Open the m2 file and ... | serrant/commands/m2_to_m2.py | import argparse
import serrant
def main():
# Parse command line args
args = parse_args()
print("Loading resources...")
# Load Errant
annotator = serrant.load("en")
# Open output M2 file
out_m2 = open(args.out, "w")
print("Processing M2 file...")
# Open the m2 file and ... | 0.459804 | 0.239805 |
import jaydebeapi
import os
import logging
import sys
# Отладочный режим
# Значение True - включается автокомит после каждой транзакции, выдается больше отладочной информации на экран.
# Значение False - Режим работы в продакшене. На экран работы ничего не выдается.
# ВАЖНЫЙ МОМЕНТ! Сообщения в журнал работы (файл "ma... | ANBO/reports.py | import jaydebeapi
import os
import logging
import sys
# Отладочный режим
# Значение True - включается автокомит после каждой транзакции, выдается больше отладочной информации на экран.
# Значение False - Режим работы в продакшене. На экран работы ничего не выдается.
# ВАЖНЫЙ МОМЕНТ! Сообщения в журнал работы (файл "ma... | 0.097912 | 0.185062 |
import numpy as np
import scipy.special
_POISSON = .25
_N_PROCS = 4
def get_flexure_parameter(h, E, n_dim, gamma_mantle=33000.):
"""
Calculate the flexure parameter based on some physical constants. *h* is
the Effective elastic thickness of Earth's crust (m), *E* is Young's
Modulus, and *n_dim* is ... | landlab/components/flexure/funcs.py |
import numpy as np
import scipy.special
_POISSON = .25
_N_PROCS = 4
def get_flexure_parameter(h, E, n_dim, gamma_mantle=33000.):
"""
Calculate the flexure parameter based on some physical constants. *h* is
the Effective elastic thickness of Earth's crust (m), *E* is Young's
Modulus, and *n_dim* is ... | 0.896007 | 0.579162 |
import logging
XPATH_EMPTY = object()
XPATH_NO_DEFAULT = object()
logger = logging.getLogger()
class X(object):
""" doc_xpath_dict_map using object
receive list of string or single string.
Will pick the first xpath matched.
"""
XPATH_NO_DEFAULT = NotImplemented
def __init__(self, *xpath, d... | doc_xpath.py |
import logging
XPATH_EMPTY = object()
XPATH_NO_DEFAULT = object()
logger = logging.getLogger()
class X(object):
""" doc_xpath_dict_map using object
receive list of string or single string.
Will pick the first xpath matched.
"""
XPATH_NO_DEFAULT = NotImplemented
def __init__(self, *xpath, d... | 0.47926 | 0.188007 |
import typing
from abc import ABCMeta, abstractmethod
from .skill import RuntimeConfigurationBuilder
from .dispatch_components import (
AbstractRequestHandler, AbstractRequestInterceptor,
AbstractResponseInterceptor, AbstractExceptionHandler)
from .exceptions import SkillBuilderException
if typing.TYPE_CHEC... | ask-sdk-runtime/ask_sdk_runtime/skill_builder.py | import typing
from abc import ABCMeta, abstractmethod
from .skill import RuntimeConfigurationBuilder
from .dispatch_components import (
AbstractRequestHandler, AbstractRequestInterceptor,
AbstractResponseInterceptor, AbstractExceptionHandler)
from .exceptions import SkillBuilderException
if typing.TYPE_CHEC... | 0.888928 | 0.140867 |
from abc import ABCMeta, abstractmethod
import torch.nn as nn
class BaseDenseHead(nn.Module, metaclass=ABCMeta):
"""Base class for DenseHeads."""
def __init__(self):
super(BaseDenseHead, self).__init__()
@abstractmethod
def loss(self, **kwargs):
"""Compute losses of the head."""
... | mmdet/models/dense_heads/base_dense_head.py | from abc import ABCMeta, abstractmethod
import torch.nn as nn
class BaseDenseHead(nn.Module, metaclass=ABCMeta):
"""Base class for DenseHeads."""
def __init__(self):
super(BaseDenseHead, self).__init__()
@abstractmethod
def loss(self, **kwargs):
"""Compute losses of the head."""
... | 0.939554 | 0.317664 |
# app.py
# Required imports
import os
import time
import json
from flask_cors import CORS
import firebase_admin
from flask import Flask, request, jsonify, redirect, session, render_template
from firebase_admin import credentials, firestore, initialize_app
from twilio.rest import Client
from twilio.twiml.messaging_resp... | HW1_Main.py | # app.py
# Required imports
import os
import time
import json
from flask_cors import CORS
import firebase_admin
from flask import Flask, request, jsonify, redirect, session, render_template
from firebase_admin import credentials, firestore, initialize_app
from twilio.rest import Client
from twilio.twiml.messaging_resp... | 0.379723 | 0.08292 |
from openstack.baremetal.v1 import _common
from openstack.baremetal.v1 import allocation as _allocation
from openstack.baremetal.v1 import chassis as _chassis
from openstack.baremetal.v1 import driver as _driver
from openstack.baremetal.v1 import node as _node
from openstack.baremetal.v1 import port as _port
from open... | openstack/baremetal/v1/_proxy.py |
from openstack.baremetal.v1 import _common
from openstack.baremetal.v1 import allocation as _allocation
from openstack.baremetal.v1 import chassis as _chassis
from openstack.baremetal.v1 import driver as _driver
from openstack.baremetal.v1 import node as _node
from openstack.baremetal.v1 import port as _port
from open... | 0.854869 | 0.383295 |
from PyQt5.QtCore import QObject, pyqtSignal, QTimer
from PyQt5.QtWidgets import QApplication, QWidget, QFileDialog
from functools import partial
from PyQt5.QtGui import QIcon, QTextCursor
from .uicore import UI
from core import getPortList, myserial
import time
class MySignals(QObject):
# 定义一种信号，两个参数 类型分别是： QTex... | ui/mainwindow.py | from PyQt5.QtCore import QObject, pyqtSignal, QTimer
from PyQt5.QtWidgets import QApplication, QWidget, QFileDialog
from functools import partial
from PyQt5.QtGui import QIcon, QTextCursor
from .uicore import UI
from core import getPortList, myserial
import time
class MySignals(QObject):
# 定义一种信号，两个参数 类型分别是： QTex... | 0.187467 | 0.064065 |
from typing import Optional, Type
from mautrix.util.config import BaseProxyConfig, ConfigUpdateHelper
from maubot import Plugin, MessageEvent
from maubot.handlers import command
import json
import datetime
class Config(BaseProxyConfig):
def do_update(self, helper: ConfigUpdateHelper) -> None:
helper.copy... | invite.py | from typing import Optional, Type
from mautrix.util.config import BaseProxyConfig, ConfigUpdateHelper
from maubot import Plugin, MessageEvent
from maubot.handlers import command
import json
import datetime
class Config(BaseProxyConfig):
def do_update(self, helper: ConfigUpdateHelper) -> None:
helper.copy... | 0.624752 | 0.113236 |
from types import FunctionType
import pkgutil
BUILD_DIR = 'generated'
CLASS_OPTIONS = [':show-inheritance:', ':members:', ':special-members:', ':exclude-members: __init__, __weakref__']
FUNCTION_OPTIONS = []
MODULE_OPTIONS = [':show-inheritance:']
def section(name, level=0, section_levels='*=-'):
return name ... | docs/source/gen_apidoc.py |
from types import FunctionType
import pkgutil
BUILD_DIR = 'generated'
CLASS_OPTIONS = [':show-inheritance:', ':members:', ':special-members:', ':exclude-members: __init__, __weakref__']
FUNCTION_OPTIONS = []
MODULE_OPTIONS = [':show-inheritance:']
def section(name, level=0, section_levels='*=-'):
return name ... | 0.330147 | 0.070913 |
import os
import sys
import cmd
import shlex
import fnmatch
import logging
import binascii
import argparse
import traceback
import hexdump
import speakeasy
import speakeasy.winenv.arch as e_arch
from speakeasy.errors import SpeakeasyError
if sys.platform != 'win32':
import readline # noqa (used by cmd)
class ... | debugger/debugger.py |
import os
import sys
import cmd
import shlex
import fnmatch
import logging
import binascii
import argparse
import traceback
import hexdump
import speakeasy
import speakeasy.winenv.arch as e_arch
from speakeasy.errors import SpeakeasyError
if sys.platform != 'win32':
import readline # noqa (used by cmd)
class ... | 0.427158 | 0.065485 |