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#!/usr/bin/python # -*- coding: utf-8 -*- # Copyright: (c) 2020, constrict0r <<EMAIL>> # GNU General Public License v3.0+ (https://www.gnu.org/licenses/gpl-3.0.txt). from ansible.module_utils.basic import AnsibleModule ANSIBLE_METADATA = { 'metadata_version': '1.1', 'status': ['preview'], 'supported_by':...
[ "ansible.module_utils.basic.AnsibleModule" ]
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import requests import re from lxml import etree import pandas as pd import time from tqdm import tqdm import warnings warnings.filterwarnings("ignore") headers = { "Host": "search.51job.com", "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/84.0.4147.105 S...
[ "requests.session", "pandas.DataFrame", "warnings.filterwarnings", "time.sleep", "lxml.etree.HTML", "re.compile" ]
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import os import shutil from tempfile import gettempdir CONVERT_DIR = os.path.join(gettempdir(), "convert") LOCK_FILE = os.path.join(gettempdir(), "convert.lock") INSTANCE_DIR = os.path.join(gettempdir(), "soffice") class ConversionFailure(Exception): # A failure related to the content or structure of the docume...
[ "shutil.rmtree", "tempfile.gettempdir", "os.makedirs" ]
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# -*- coding: utf-8 -*- import unittest from securetea.lib.antivirus.tools.file_gather import GatherFile try: # if python 3.x.x from unittest.mock import patch except ImportError: # python 2.x.x from mock import patch class TestGatherFile(unittest.TestCase): """ Test class for SecureTea AntiViru...
[ "mock.patch", "securetea.lib.antivirus.tools.file_gather.GatherFile" ]
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# -*- coding: utf-8 -*- # Copyright (c) 2014, 2015 <NAME> # # 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 ...
[ "logging.getLogger" ]
[((696, 723), 'logging.getLogger', 'logging.getLogger', (['__name__'], {}), '(__name__)\n', (713, 723), False, 'import logging\n')]
# Copyright 2019 Huawei Technologies Co., Ltd # # 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 a...
[ "os.getcwd" ]
[((810, 821), 'os.getcwd', 'os.getcwd', ([], {}), '()\n', (819, 821), False, 'import os\n')]
""" Denoise the input and reconstruct. """ from showcase_utils import * from tbase.skeleton import Skeleton from plotter import show_np_arrays fs = tf.app.flags fs.DEFINE_string('model', 'none', 'which model to use for the prediction, expected format is "model_name/run_id[ft]" [none]') fs.DEFINE_integer('samples', 3, ...
[ "tbase.skeleton.to_global_batched" ]
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"""Utility methods for manipulating pandas DataFrames.""" # builtins from typing import Dict # 3d party/FOSS import numpy as np import pandas as pd DEFAULT_INDEX = pd.Index(["pilot", "session", "run"]) def query(data: pd.DataFrame, query: Dict) -> pd.DataFrame: """Get unique rows from a df with a query.""" ...
[ "pandas.Index" ]
[((167, 204), 'pandas.Index', 'pd.Index', (["['pilot', 'session', 'run']"], {}), "(['pilot', 'session', 'run'])\n", (175, 204), True, 'import pandas as pd\n')]
''' ''' import re # from django from django.db import models from django.core import validators from django.contrib.auth.models import AbstractBaseUser, PermissionsMixin, UserManager from django.conf import settings class User(AbstractBaseUser, PermissionsMixin): username = models.CharField('User name', ...
[ "django.db.models.CharField", "django.db.models.ForeignKey", "django.db.models.BooleanField", "django.db.models.EmailField", "django.db.models.DateTimeField", "django.contrib.auth.models.UserManager", "re.compile" ]
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"""Dataset preprocessing scripts""" def process_mim_gold_ner(): from pathlib import Path import pandas as pd from tqdm.auto import tqdm import json import re from collections import defaultdict conversion_dict = { "O": "O", "B-Person": "B-PER", "I-Person": "I-PER",...
[ "pandas.DataFrame", "io.BytesIO", "pandas.read_csv", "sklearn.model_selection.train_test_split", "json.dumps", "pandas.read_json", "collections.defaultdict", "tqdm.auto.tqdm", "pathlib.Path", "pandas.DataFrame.from_records", "re.sub", "pandas.concat" ]
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from flask import request from flask_wtf import FlaskForm from wtforms import IntegerField, StringField, SubmitField, TextAreaField, SelectField from wtforms.validators import ValidationError, DataRequired, Length from flask_babel import _, lazy_gettext as _l from app.models import Equipment class SearchForm(FlaskFor...
[ "wtforms.SubmitField", "wtforms.validators.DataRequired", "wtforms.SelectField", "flask_babel.lazy_gettext" ]
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# -*- coding: utf-8 -*- # @Author : LG import LG_flow import LG_flow.functional as f from LG_flow import Parameter from collections import OrderedDict class Module(object): def __init__(self): self._parameters = OrderedDict() self._modules = OrderedDict() self._buffers = OrderedDict() ...
[ "collections.OrderedDict", "LG_flow.functional.linear", "LG_flow.randn", "LG_flow.zeros" ]
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import platform from PyQt5.QtGui import QStandardItem, QFont, QColor from PyQt5.QtWidgets import QStyledItemDelegate if platform.system() == 'Windows': FONT_DIFF = 0 else: FONT_DIFF = 2 class ItemDelegate(QStyledItemDelegate): def __init__(self, window, parent_list): super().__init__(parent_list)...
[ "platform.system", "PyQt5.QtGui.QStandardItem", "PyQt5.QtGui.QColor" ]
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import logging from django.core.exceptions import PermissionDenied from django.http.response import Http404 from rest_framework import exceptions from rest_framework.response import Response from rest_framework.views import set_rollback logger = logging.getLogger(__name__) def exception_handler(exc, context): ...
[ "rest_framework.exceptions.PermissionDenied", "rest_framework.views.set_rollback", "rest_framework.response.Response", "rest_framework.exceptions.NotFound", "logging.getLogger" ]
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from datetime import date import pytest from regparser.history.versions import Version from regparser.index import entry from regparser.notice.citation import Citation @pytest.mark.django_db def test_iterator(): """Versions should be correctly linearized""" path = entry.Version("12", "1000") v1 = Versio...
[ "regparser.notice.citation.Citation", "datetime.date", "regparser.index.entry.Version" ]
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# -*- coding: utf-8 -*- # Generated by Django 1.10.3 on 2017-04-07 01:06 from __future__ import unicode_literals from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('pfb_analysis', '0012_analysisscoremetadata'), ] operations = [ migrations.A...
[ "django.db.models.CharField" ]
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#!/usr/bin/env python import argparse import requests import configparser try: import simplejson as json except ImportError: import json class Censys(): def __init__(self): conffile = 'conf/exist.conf' conf = configparser.SafeConfigParser() conf.read(conffile) self.__baseU...
[ "requests.get", "argparse.ArgumentParser", "configparser.SafeConfigParser", "json.loads" ]
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"""Unit test for plot_functions.py This Python module contains multiple unit test functions to check if the plotting functions in plot_functions.py return valid x and y axes 'handles'. For example in plot_each_absolute_temperature(), if do_plot is set to False, we return two dictionaries: one, a dictionary of <agency_...
[ "sys.path.append", "unittest.main", "pandas.DataFrame", "DegreesOfClimateChange.grab_worldbank.grab_worldbank", "warnings.simplefilter", "DegreesOfClimateChange.plot_functions.plot_co2_against_temperature", "DegreesOfClimateChange.grab_noaa.grab_noaa", "DegreesOfClimateChange.grab_berkeley.grab_berkel...
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# coding: utf-8 from unittest import mock import pytest from botocore.exceptions import ClientError from freezegun import freeze_time from dmutils.documents import ( generate_file_name, get_extension, file_is_not_empty, file_is_empty, filter_empty_files, file_is_less_than_5mb, file_is_open_document_fo...
[ "dmutils.documents.get_signed_url", "dmutils.documents.get_document_path", "dmutils.documents.file_is_empty", "dmutils.documents.degenerate_document_path_and_return_doc_name", "pytest.mark.parametrize", "dmutils.documents.sanitise_supplier_name", "dmutils.documents.validate_documents", "dmutils.docume...
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from distutils.core import setup setup(name='oc_screenshots', version='0.9', description='OwnCloud Auto Screenshots Uploader', author='<NAME>', requires=['pyocclient', 'pyperclip', 'pync', 'watchdog'], )
[ "distutils.core.setup" ]
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"""Group (a.k.a Classroom) management.""" import base64 import csv import io import string import api from api import ( block_before_competition, check_csrf, PicoException, rate_limit, require_login, require_teacher, ) from bs4 import UnicodeDammit from flask import jsonify from flask_restplus ...
[ "api.cache.invalidate", "api.email.send_email_invite", "api.PicoException", "marshmallow.fields.Email", "api.group.create_group", "flask.jsonify", "api.group.elevate_team", "csv.DictWriter", "api.group.delete_group", "api.team.get_team_information", "marshmallow.ValidationError", "api.user.get...
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# -*- coding: utf-8 -*- """ Created on Wed Dec 11 11:10:55 2019 Turns data (in JSON format) into a pandas DataFrame. This allows for easy reading, plotting, and writing of results. This script takes either the single node or multinode results and turns the results into a pandas DataFrame. A pandas DataFrame...
[ "json.load", "logging.FileHandler", "logging.basicConfig", "numpy.concatenate", "pandas.merge", "logging.StreamHandler", "logging.info", "pandas.to_datetime", "pandas.concat", "logging.getLogger" ]
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# -*- coding: utf-8 -*- # Copyright (c) 2019 <NAME> # wwdtm_winstreaks is relased under the terms of the Apache License 2.0 """Calculate and display panelist win streaks from scores in the WWDTM Stats database""" from collections import OrderedDict import json import math import os from typing import List, Dict import...
[ "json.load", "numpy.sum", "numpy.amin", "numpy.median", "numpy.std", "numpy.amax", "numpy.mean", "collections.OrderedDict", "os.getenv" ]
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import logging from stix_shifter_utils.modules.base.stix_translation.base_query_translator import ( BaseQueryTranslator ) from . import query_constructor logger = logging.getLogger(__name__) class QueryTranslator(BaseQueryTranslator): def transform_antlr(self, data, antlr_parsing_object): logger.i...
[ "logging.getLogger" ]
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from django.contrib import admin from recipes import models admin.site.register(models.Ingredient) admin.site.register(models.Recipe)
[ "django.contrib.admin.site.register" ]
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#!/usr/bin/env python # Copyright 2015 The PDFium Authors. All rights reserved. # Use of this source code is governed by a BSD-style license that can be # found in the LICENSE file. from __future__ import print_function import difflib import sys def main(argv): if len(argv) != 3: print('%s: invalid arguments'...
[ "sys.stdout.write", "difflib.unified_diff" ]
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#coding: utf-8 import os import cv2 import numpy as np from . import cvui from ._cvpath import PYCHARMERS_OPENCV_VIDEO_DIR from .editing import resize_aspect from .video_image_handler import VideoCaptureCreate from .windows import cv2key2chr from ..utils.generic_utils import now_str from ..utils.subprocess_utils impor...
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from flask import Flask from flask.ext.bcrypt import Bcrypt from flask.ext.login import LoginManager from flask.ext.sqlalchemy import SQLAlchemy app = Flask(__name__) # password hashing bcrypt = Bcrypt(app) # manage logins lm = LoginManager() lm.init_app(app) lm.login_view = 'login' # SQL app.config.from_object('c...
[ "flask.ext.sqlalchemy.SQLAlchemy", "flask.Flask", "flask.ext.bcrypt.Bcrypt", "flask.ext.login.LoginManager" ]
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""" Docker manager The docker manager is responsible for communicating with the docker- daemon and is a wrapper arround the docker module. It has methods for creating docker networks, docker volumes, start containers and retreive results from finisched containers TODO the task folder is also created by this class. Th...
[ "docker.from_env", "os.makedirs", "os.path.exists", "vantage6.common.docker_addons.pull_if_newer", "time.sleep", "os.environ.get", "pathlib.Path", "vantage6.node.util.logger_name", "os.path.join", "re.compile" ]
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#! /usr/bin/env python3 # coding: utf-8 from django.http import HttpResponse from TestModel.models import Test # 数据库操作 def testdb(request): # insert 一个数据 test1 = Test(name='timilong') test1.save() return HttpResponse("<p>"+ "更新成功</p>") """ # 初始化 response = "" response1 = "" # 通过object...
[ "TestModel.models.Test", "django.http.HttpResponse" ]
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#!/usr/bin/env python # Four spaces as indentation [no tabs] from PDDL import PDDL_Parser import pickle def convert(list): return tuple(i[0] for i in list) class Constructor: #----------------------------------------------- # Construct #----------------------------------------------- def cons...
[ "pickle.dump", "PDDL.PDDL_Parser", "time.time" ]
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import packerlicious.post_processor as post_processor class TestManifestPostProcessor(object): def test_no_required_fields(self): b = post_processor.Manifest() b.to_dict()
[ "packerlicious.post_processor.Manifest" ]
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import os from setuptools import find_packages, setup VERSION = __import__('herald').__version__ def read_file(filename): """Read a file into a string""" path = os.path.abspath(os.path.dirname(__file__)) filepath = os.path.join(path, filename) try: return open(filepath).read() except IOE...
[ "os.path.dirname", "os.path.join", "setuptools.find_packages" ]
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import os from hacktools import common from PIL import Image def run(data): infile = data + "extract_BMP/FDT/000.BIN" outfile = data + "repack_BMP/FDT/000.BIN" imgfiles = [data + "font_input.png", data + "font_input2.png"] common.logMessage("Repacking FDT from", imgfiles[0], "...") common.copyFil...
[ "hacktools.common.logError", "PIL.Image.open", "os.path.isfile", "hacktools.common.copyFile", "hacktools.common.Stream", "hacktools.common.logMessage" ]
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from django.http import HttpResponseRedirect from django.shortcuts import get_object_or_404, render from django.urls import reverse from django.views import generic from django.utils import timezone from django.contrib.auth.decorators import login_required import os.path from django.http import Http404 # Create your v...
[ "django.shortcuts.render", "django.http.Http404" ]
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# -*- coding: utf-8 -*- # # Copyright 2019 Klimaat from __future__ import division import datetime import numpy as np import matplotlib.pyplot as plt def join_date(y=1970, m=1, d=1, hh=0, mm=0, ss=0): """ Join date/time components into datetime64 object """ y = (np.asarray(y) - 1970).astype("<M8[Y]"...
[ "numpy.maximum", "numpy.sum", "numpy.abs", "numpy.arctan2", "numpy.clip", "numpy.isnan", "datetime.datetime.utcnow", "numpy.sin", "numpy.arange", "numpy.exp", "matplotlib.pyplot.tight_layout", "numpy.zeros_like", "numpy.arcsin", "numpy.recarray", "numpy.tan", "matplotlib.pyplot.rc", ...
[((3158, 3167), 'numpy.sin', 'np.sin', (['D'], {}), '(D)\n', (3164, 3167), True, 'import numpy as np\n'), ((3179, 3188), 'numpy.cos', 'np.cos', (['D'], {}), '(D)\n', (3185, 3188), True, 'import numpy as np\n'), ((3760, 3784), 'numpy.sqrt', 'np.sqrt', (['(1 - sinDec ** 2)'], {}), '(1 - sinDec ** 2)\n', (3767, 3784), Tru...
####################################### # Input Example :: # python CrimeTypePredict.py -lat 11.23 -long 76.3 # places example ::: # 9XX NICOLA ST # 12XX ALBERNI ST # 11XX HARO ST import numpy as np import pickle import pandas as pd import argparse parser = argparse.ArgumentParser() # Adding optional argument parser....
[ "argparse.ArgumentParser" ]
[((259, 284), 'argparse.ArgumentParser', 'argparse.ArgumentParser', ([], {}), '()\n', (282, 284), False, 'import argparse\n')]
''' Common kernels ''' import numpy as np def linear_kernel(x, y): ''' Linear kernel is simply he dot product of the vectors x and y. ''' return np.dot(x, y) def gaussian_kernel(x, y, sigma=0.5): ''' ''' numerator = np.dot(x-y, x-y) denominator = 2*sigma*sigma return np.exp(-numerator / denominator)
[ "numpy.dot", "numpy.exp" ]
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import os from PIL import Image def Watermark(): global background,watermark_image watermark = os.listdir(fr'Watermark') value = 0 for index in os.listdir('images'): print(index) background = Image.open(fr"images\{index}") watermark_image = Image.open(fr"Watermark\{wat...
[ "os.listdir", "PIL.Image.open" ]
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from django.core.management.base import BaseCommand from pfb_analysis.models import AnalysisJob class Command(BaseCommand): help = "Update status during an analysis job" def add_arguments(self, parser): # Positional arguments parser.add_argument('job_id') parser.add_argument('status'...
[ "pfb_analysis.models.AnalysisJob.objects.get" ]
[((492, 537), 'pfb_analysis.models.AnalysisJob.objects.get', 'AnalysisJob.objects.get', ([], {'pk': "options['job_id']"}), "(pk=options['job_id'])\n", (515, 537), False, 'from pfb_analysis.models import AnalysisJob\n')]
# Generated by Django 2.0.2 on 2020-01-16 20:22 from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ ('api_test', '0009_auto_20200113_1621'), ] operations = [ migrations.CreateModel( name='ApiAutoma...
[ "django.db.models.TextField", "django.db.models.CharField", "django.db.models.ForeignKey", "django.db.models.AutoField", "django.db.models.DateTimeField" ]
[((379, 430), 'django.db.models.AutoField', 'models.AutoField', ([], {'primary_key': '(True)', 'serialize': '(False)'}), '(primary_key=True, serialize=False)\n', (395, 430), False, 'from django.db import migrations, models\n'), ((465, 519), 'django.db.models.CharField', 'models.CharField', ([], {'max_length': '(1024)',...
import sublime, sublime_plugin, threading, socket, struct, os, pickle from SublimeTogether.lib import in_cmd, out_cmd, handlers from SublimeTogether.diff_match_patch import diff_match_patch # SublimeTogether's socket connection thread = None chat = None project = None CHAT_TITLE = 'SublimeTogether Chat' def load_set...
[ "sublime.message_dialog", "pickle.loads", "struct.unpack_from", "sublime.save_settings", "SublimeTogether.diff_match_patch.diff_match_patch", "threading.enumerate", "socket.socket", "sublime.windows", "sublime.active_window", "os.path.isfile", "sublime.load_settings", "SublimeTogether.lib.hand...
[((11027, 11048), 'threading.enumerate', 'threading.enumerate', ([], {}), '()\n', (11046, 11048), False, 'import sublime, sublime_plugin, threading, socket, struct, os, pickle\n'), ((516, 573), 'sublime.load_settings', 'sublime.load_settings', (['"""SublimeTogether.sublime-settings"""'], {}), "('SublimeTogether.sublime...
# -*- coding: utf-8 -*- import functools import six import inflection def convert_value(value, converter=None): return converter(value) if converter else value def convert_dict(data, key_converter=None, value_converter=None): return { convert_value(key, key_converter): convert_value(value, value_c...
[ "functools.partial", "six.iteritems" ]
[((395, 463), 'functools.partial', 'functools.partial', (['inflection.camelize'], {'uppercase_first_letter': '(False)'}), '(inflection.camelize, uppercase_first_letter=False)\n', (412, 463), False, 'import functools\n'), ((481, 536), 'functools.partial', 'functools.partial', (['convert_dict'], {'key_converter': 'cameli...
import hypothesis.strategies as st from hypothesis.core import given from hypothesis.extra.numpy import arrays import crowddynamics.testing as testing from crowddynamics.core.interactions import ( interaction_agent_agent_circular, interaction_agent_agent_three_circle, agent_agent_block_list, agent_circ...
[ "crowddynamics.testing.reals", "crowddynamics.core.interactions.interaction_agent_agent_circular", "crowddynamics.core.interactions.agent_agent_block_list", "crowddynamics.core.interactions.interaction_agent_agent_three_circle", "hypothesis.strategies.just", "crowddynamics.core.interactions.agent_three_ci...
[((545, 587), 'crowddynamics.testing.reals', 'testing.reals', (['(0)', '(1.0)'], {'exclude_zero': '"""near"""'}), "(0, 1.0, exclude_zero='near')\n", (558, 587), True, 'import crowddynamics.testing as testing\n'), ((601, 643), 'crowddynamics.testing.reals', 'testing.reals', (['(0)', '(1.0)'], {'exclude_zero': '"""near""...
# Twitcaspy # Copyright 2021 Alma-field # See LICENSE for details. # # based on tweepy(https://github.com/tweepy/tweepy) # Copyright (c) 2009-2021 <NAME> from nose.tools import ok_, eq_, raises from twitcaspy import API from twitcaspy.errors import TwitcaspyException, Unauthorized, NotFound from .config import tape...
[ "nose.tools.raises", "twitcaspy.api.get_user_info", "nose.tools.eq_", "json.load" ]
[((433, 459), 'nose.tools.raises', 'raises', (['TwitcaspyException'], {}), '(TwitcaspyException)\n', (439, 459), False, 'from nose.tools import ok_, eq_, raises\n'), ((957, 977), 'nose.tools.raises', 'raises', (['Unauthorized'], {}), '(Unauthorized)\n', (963, 977), False, 'from nose.tools import ok_, eq_, raises\n'), (...
from logging import Logger import os from dotenv import dotenv_values import asyncio import aio_pika config = { **dotenv_values('.env'), # load shared development variables # **dotenv_values(".env.secret"), # load sensitive variables **os.environ, # override loaded values with environment variables } a...
[ "dotenv.dotenv_values", "asyncio.get_event_loop", "aio_pika.connect_robust" ]
[((119, 140), 'dotenv.dotenv_values', 'dotenv_values', (['""".env"""'], {}), "('.env')\n", (132, 140), False, 'from dotenv import dotenv_values\n'), ((1053, 1077), 'asyncio.get_event_loop', 'asyncio.get_event_loop', ([], {}), '()\n', (1075, 1077), False, 'import asyncio\n'), ((364, 511), 'aio_pika.connect_robust', 'aio...
import pytest from src import main from src.modules.distance_matrix import DistanceMatrixStep, manhattan_dist from src.modules.dm_exponent import DmToExpStep from src.modules.heatmap import HeatMapStep from src.modules.nj_tree import NjStep from src.modules.snp_to_vectors import SnpToVectorStep from src.modules.tsne i...
[ "src.utils.Pipeline", "src.main.main", "src.modules.nj_tree.NjStep", "src.modules.heatmap.HeatMapStep", "src.modules.distance_matrix.DistanceMatrixStep", "src.utils.get_out_path", "src.utils.get_data_path", "src.modules.dm_exponent.DmToExpStep" ]
[((513, 531), 'src.utils.Pipeline', 'Pipeline', (['log_file'], {}), '(log_file)\n', (521, 531), False, 'from src.utils import get_data_path, get_out_path, Pipeline\n'), ((2062, 2073), 'src.main.main', 'main.main', ([], {}), '()\n', (2071, 2073), False, 'from src import main\n'), ((432, 446), 'src.utils.get_out_path', '...
#!/usr/bin/env python3 #================================================================================================================ #---------------------------------------------------------------------------------------------------------------- # A STAR #--------------------------------------------------...
[ "queue.PriorityQueue", "sys.exit" ]
[((5180, 5201), 'queue.PriorityQueue', 'queue.PriorityQueue', ([], {}), '()\n', (5199, 5201), False, 'import queue\n'), ((3640, 3677), 'sys.exit', 'sys.exit', (['"""No start or no end in map"""'], {}), "('No start or no end in map')\n", (3648, 3677), False, 'import sys\n')]
from qcache.qframe.common import assert_len, raise_malformed, is_quoted, unquote from qcache.qframe.constants import COMPARISON_OPERATORS def _prepare_arg(df, arg): if isinstance(arg, basestring): if is_quoted(arg): return unquote(arg) return getattr(df, arg) return arg def _bu...
[ "qcache.qframe.common.raise_malformed", "qcache.qframe.common.unquote", "qcache.qframe.common.is_quoted", "qcache.qframe.common.assert_len" ]
[((214, 228), 'qcache.qframe.common.is_quoted', 'is_quoted', (['arg'], {}), '(arg)\n', (223, 228), False, 'from qcache.qframe.common import assert_len, raise_malformed, is_quoted, unquote\n'), ((396, 450), 'qcache.qframe.common.raise_malformed', 'raise_malformed', (['"""Expressions must be lists"""', 'update_q'], {}), ...
# Copyright 2019 The Texar Authors. All Rights Reserved. # # 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 ...
[ "numpy.pad", "numpy.asarray", "numpy.zeros", "numpy.array", "typing.TypeVar" ]
[((930, 946), 'typing.TypeVar', 'TypeVar', (['"""Input"""'], {}), "('Input')\n", (937, 946), False, 'from typing import Dict, List, Optional, Sequence, Tuple, TypeVar\n'), ((955, 971), 'typing.TypeVar', 'TypeVar', (['"""Value"""'], {}), "('Value')\n", (962, 971), False, 'from typing import Dict, List, Optional, Sequenc...
# -*- coding: utf-8 -*- import unittest from iemlav.lib.ids.r2l_rules.wireless.deauth import Deauth import scapy.all as scapy from iemlav.logger import IemlAVLogger try: # if python 3.x.x from unittest.mock import patch except ImportError: # python 2.x.x from mock import patch class TestDeauth(unittest....
[ "mock.patch.object", "iemlav.lib.ids.r2l_rules.wireless.deauth.Deauth", "mock.patch", "scapy.all.Dot11" ]
[((879, 938), 'mock.patch', 'patch', (['"""iemlav.lib.ids.r2l_rules.wireless.deauth.time.time"""'], {}), "('iemlav.lib.ids.r2l_rules.wireless.deauth.time.time')\n", (884, 938), False, 'from mock import patch\n'), ((944, 977), 'mock.patch.object', 'patch.object', (['IemlAVLogger', '"""log"""'], {}), "(IemlAVLogger, 'log...
#!/usr/bin/env python # -*- coding: utf-8 -*- from elementtree import ElementTree from pylib.xml_indent import xml_indent FIXTURE_XML = """ <root> <page_heading> <title>This is a title</title> <hr clear="auto"/> </page_heading> <articles> <article id="1"> <title>This is the first article</tit...
[ "elementtree.ElementTree.tostring", "elementtree.ElementTree.fromstring", "pylib.xml_indent.xml_indent" ]
[((891, 926), 'elementtree.ElementTree.fromstring', 'ElementTree.fromstring', (['FIXTURE_XML'], {}), '(FIXTURE_XML)\n', (913, 926), False, 'from elementtree import ElementTree\n'), ((943, 971), 'pylib.xml_indent.xml_indent', 'xml_indent', (['parsed'], {'indent': '(0)'}), '(parsed, indent=0)\n', (953, 971), False, 'from...
# (C) Copyright 2017- ECMWF. # # This software is licensed under the terms of the Apache Licence Version 2.0 # which can be obtained at http://www.apache.org/licenses/LICENSE-2.0. # # In applying this licence, ECMWF does not waive the privileges and immunities # granted to it by virtue of its status as an intergovernme...
[ "metview.mcont", "metview.plot", "metview.png_output", "metview.read" ]
[((1740, 1770), 'metview.read', 'mv.read', (['"""./t2_for_UC-04.grib"""'], {}), "('./t2_for_UC-04.grib')\n", (1747, 1770), True, 'import metview as mv\n'), ((1796, 1825), 'metview.read', 'mv.read', (['"""./z_for_UC-04.grib"""'], {}), "('./z_for_UC-04.grib')\n", (1803, 1825), True, 'import metview as mv\n'), ((1839, 220...
# Copyright 2019 WebPageTest LLC. # Copyright 2017 Google Inc. # Use of this source code is governed by the Apache 2.0 license that can be # found in the LICENSE file. """Chrome browser on Android""" import gzip import logging import os import re import shutil import sys import time if (sys.version_info >= (3, 0)): ...
[ "shutil.copyfileobj", "os.remove", "logging.debug", "gzip.open", "os.path.basename", "time.sleep", "os.path.isfile", "re.search", "monotonic.monotonic", "os.path.join" ]
[((5801, 5860), 'os.path.join', 'os.path.join', (["task['dir']", "self.config['command_line_file']"], {}), "(task['dir'], self.config['command_line_file'])\n", (5813, 5860), False, 'import os\n'), ((6031, 6058), 'logging.debug', 'logging.debug', (['command_line'], {}), '(command_line)\n', (6044, 6058), False, 'import l...
#!/usr/bin/env python # -*- coding: utf-8 -*- import pytest import numpy from ..edges import formatEdgeString, translateEdgeNotation class TestFile(object): def test_translateEdgeStringArgumentType(self): with pytest.raises(TypeError): translateEdgeNotation(90) def test_translateEdgeStri...
[ "pytest.raises" ]
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# Copyright 2016 <NAME> # # 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, softwa...
[ "jsonschema.validate", "copy.deepcopy", "os.path.dirname" ]
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# coding=utf-8 # *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. *** # *** Do not edit by hand unless you're certain you know what you are doing! *** import json import warnings import pulumi import pulumi.runtime from .. import utilities, tables class Thing(pulumi.CustomResource): ...
[ "warnings.warn" ]
[((1425, 1500), 'warnings.warn', 'warnings.warn', (['"""explicit use of __name__ is deprecated"""', 'DeprecationWarning'], {}), "('explicit use of __name__ is deprecated', DeprecationWarning)\n", (1438, 1500), False, 'import warnings\n'), ((1583, 1682), 'warnings.warn', 'warnings.warn', (['"""explicit use of __opts__ i...
import os, sys, time, math, copy dpr = True def dprint(arg): global dpr if dpr == True: print(arg) def binaryToDecimal(binary): bin=list() if type(binary) == str: bin.append(int(char) for char in binary) elif type(binary) == list: bin = copy.deepcopy(binary) for i ...
[ "copy.deepcopy" ]
[((1473, 1494), 'copy.deepcopy', 'copy.deepcopy', (['matrix'], {}), '(matrix)\n', (1486, 1494), False, 'import os, sys, time, math, copy\n'), ((284, 305), 'copy.deepcopy', 'copy.deepcopy', (['binary'], {}), '(binary)\n', (297, 305), False, 'import os, sys, time, math, copy\n')]
import glob src_files = glob.glob("./goal_src/**/*.g[cs]", recursive=True) data_files = glob.glob("./goal_src/**/*.gd", recursive=True) # Find how many of each have been started src_files_started = 0 src_files_finished = 0 data_files_started = 0 for f in src_files: with open(f, "r") as temp_file: lines = temp...
[ "json.dump", "glob.glob" ]
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# -*- coding: utf-8 -*- """ Created on Wed Feb 20 11:20:41 2019 @author: KatreAR """ from fuzzywuzzy import fuzz from itertools import combinations import numpy def match_scores(listofnames, matchtype='ratio'): """ Return a map of combinations and scores that denotes similarity between them. The map is...
[ "itertools.combinations" ]
[((868, 896), 'itertools.combinations', 'combinations', (['listofnames', '(2)'], {}), '(listofnames, 2)\n', (880, 896), False, 'from itertools import combinations\n')]
import unittest from onnxmltools import convert_sklearn from onnxmltools.convert.common.data_types import FloatTensorType, Int64TensorType, StringTensorType class TestSklearnPipeline(unittest.TestCase): def test_pipeline(self): from sklearn.preprocessing import StandardScaler from sklearn.pipeline...
[ "sklearn.preprocessing.StandardScaler", "onnxmltools.convert.common.data_types.FloatTensorType", "onnxmltools.convert.common.data_types.Int64TensorType", "sklearn.preprocessing.LabelEncoder", "onnxmltools.convert.common.data_types.StringTensorType", "sklearn.pipeline.Pipeline" ]
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#!/usr/bin/env python3 import sys import os import csv import matplotlib.pyplot as plt import math # Create bar graph based on rows of CSV file def bar(first,second,folder): fig,ax = plt.subplots() # Convert "second" to a list of floats x_vals = [float(x) for x in second[1:]] # Get title of graph ...
[ "matplotlib.pyplot.title", "os.mkdir", "csv.reader", "matplotlib.pyplot.margins", "matplotlib.pyplot.close", "matplotlib.pyplot.bar", "os.path.exists", "matplotlib.pyplot.ylabel", "matplotlib.pyplot.xticks", "matplotlib.pyplot.subplots", "sys.exit", "matplotlib.pyplot.xlabel" ]
[((189, 203), 'matplotlib.pyplot.subplots', 'plt.subplots', ([], {}), '()\n', (201, 203), True, 'import matplotlib.pyplot as plt\n'), ((498, 550), 'matplotlib.pyplot.bar', 'plt.bar', (['x_pos', 'x_vals'], {'align': '"""center"""', 'color': 'colors'}), "(x_pos, x_vals, align='center', color=colors)\n", (505, 550), True,...
import tensorflow as tf from common import shrender def loss_render(sh_pred, sh_gt, shmap): pred = shrender(sh_pred, shmap) gt = shrender(sh_gt, shmap) return tf.reduce_mean( tf.reduce_sum(tf.square(pred - gt), axis=[1,2]) / tf.cast(tf.count_nonzero(tf.reduce_sum(shmap,[-1])), tf.float32) ) de...
[ "common.shrender", "tensorflow.reduce_sum", "tensorflow.constant", "tensorflow.multiply", "tensorflow.square" ]
[((104, 128), 'common.shrender', 'shrender', (['sh_pred', 'shmap'], {}), '(sh_pred, shmap)\n', (112, 128), False, 'from common import shrender\n'), ((138, 160), 'common.shrender', 'shrender', (['sh_gt', 'shmap'], {}), '(sh_gt, shmap)\n', (146, 160), False, 'from common import shrender\n'), ((365, 437), 'tensorflow.cons...
import csv import random import warnings import os from locust import HttpUser, task, between SEARCH_LINK = "/search_reserved_keyword?q=covidessentialproduct&aggregated=1" class SastaSundarSearch(HttpUser): host = os.getenv('TARGET_URL', 'https://search.sastasundar.com') wait_time = between(1, 5) def o...
[ "locust.between", "os.getenv", "warnings.filterwarnings" ]
[((222, 279), 'os.getenv', 'os.getenv', (['"""TARGET_URL"""', '"""https://search.sastasundar.com"""'], {}), "('TARGET_URL', 'https://search.sastasundar.com')\n", (231, 279), False, 'import os\n'), ((296, 309), 'locust.between', 'between', (['(1)', '(5)'], {}), '(1, 5)\n', (303, 309), False, 'from locust import HttpUser...
"""Oh wow. This is logically very similar to Dijkstra/A*, pruning search trees based on the cheapest way to get to a certain permutation. We can both throw away subtrees if there is a cheaper way to get to them and if we're above the cheapest known completion. I feel like I'm missing some heuristic for selecting the b...
[ "copy.deepcopy", "itertools.count", "heapq.heappop" ]
[((603, 610), 'itertools.count', 'count', ([], {}), '()\n', (608, 610), False, 'from itertools import count\n'), ((2268, 2289), 'heapq.heappop', 'heapq.heappop', (['search'], {}), '(search)\n', (2281, 2289), False, 'import heapq\n'), ((2429, 2452), 'copy.deepcopy', 'copy.deepcopy', (['occupied'], {}), '(occupied)\n', (...
import numpy as np import random import matplotlib.pyplot as plt import os import shutil import imageio def create_data(N, xu=10, yu=10, xd=-10, yd=-10): fx = lambda: random.random() * (xu - xd) + xd fy = lambda: random.random() * (yu - yd) + yd calDistance = lambda x, y: np.sqrt((x[0] - y[0]) ** 2 + (x[1]...
[ "matplotlib.pyplot.title", "os.mkdir", "imageio.mimsave", "random.randint", "matplotlib.pyplot.plot", "random.shuffle", "matplotlib.pyplot.scatter", "imageio.imread", "numpy.zeros", "os.path.exists", "numpy.argsort", "numpy.sort", "random.random", "matplotlib.pyplot.cla", "numpy.array", ...
[((428, 444), 'numpy.zeros', 'np.zeros', (['(N, N)'], {}), '((N, N))\n', (436, 444), True, 'import numpy as np\n'), ((1080, 1101), 'numpy.argsort', 'np.argsort', (['packValue'], {}), '(packValue)\n', (1090, 1101), True, 'import numpy as np\n'), ((1153, 1171), 'numpy.sort', 'np.sort', (['packValue'], {}), '(packValue)\n...
""" This provides classes and methods that calculate the gradient level and surface (10-m above ground) wind speed, based on a number of parametric profiles and boundary layer models. These classes and methods provide the wind field at a single point in time. The complete wind swath is evaluated in the calling classes....
[ "numpy.arctan2", "numpy.abs", "numpy.ones", "numpy.shape", "numpy.sin", "numpy.exp", "logging.NullHandler", "numpy.power", "Utilities.metutils.convert", "math.sqrt", "Utilities.metutils.coriolis", "numpy.cos", "math.exp", "numpy.log", "numpy.where", "inspect.getargspec", "numpy.array...
[((1786, 1813), 'logging.getLogger', 'logging.getLogger', (['__name__'], {}), '(__name__)\n', (1803, 1813), False, 'import logging\n'), ((1829, 1850), 'logging.NullHandler', 'logging.NullHandler', ([], {}), '()\n', (1848, 1850), False, 'import logging\n'), ((1722, 1753), 'logging.getLogger', 'logging.getLogger', (['"""...
# # Copyright 2012-2014 <NAME> # # 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, so...
[ "multigtfs.models.base.models.ForeignKey", "jsonfield.JSONField" ]
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""" Helper functions and class definition for conversion between schema in DSS and Tableau Hyper """ from tableauhyperapi import TableDefinition from type_conversion import TypeConversion import copy import logging logger = logging.getLogger(__name__) logging.basicConfig(level=logging.INFO, format='Plugin: Tableau ...
[ "tableauhyperapi.TableDefinition.Column", "copy.deepcopy", "logging.basicConfig", "type_conversion.TypeConversion", "logging.getLogger" ]
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from multiprocessing import Process import keras from sklearn.model_selection import train_test_split from models.ResNet import ResNet18 from query_methods.RandomSampling import RandomSampling from query_methods.CoreSet import CoreSetSampling from query_methods.UncertaintySampling import UncertaintyEntropySampling fr...
[ "keras.optimizers.Adadelta", "keras.datasets.cifar10.load_data", "sklearn.model_selection.train_test_split", "keras.utils.to_categorical", "multiprocessing.Process", "al_exp.ActiveLearningExperiment" ]
[((931, 997), 'sklearn.model_selection.train_test_split', 'train_test_split', (['x_train', 'y_train'], {'test_size': '(0.2)', 'random_state': '(42)'}), '(x_train, y_train, test_size=0.2, random_state=42)\n', (947, 997), False, 'from sklearn.model_selection import train_test_split\n'), ((1368, 1402), 'keras.datasets.cif...
import cv2 import numpy as np ##low :[ 0 208 61], high:[ 74 255 153] ##low :[ 0 187 71], high:[ 80 245 255] class Vision(): def __init__(self, camera_port_left=1): self.camera_port = camera_port_left # self.cap1 = cv2.VideoCapture(2) self.cap2 = cv2.VideoCapture(camera_port_left) ...
[ "cv2.circle", "cv2.cvtColor", "cv2.waitKey", "cv2.moments", "cv2.imshow", "numpy.ones", "cv2.VideoCapture", "numpy.array", "cv2.erode", "cv2.destroyAllWindows", "cv2.inRange" ]
[((280, 314), 'cv2.VideoCapture', 'cv2.VideoCapture', (['camera_port_left'], {}), '(camera_port_left)\n', (296, 314), False, 'import cv2\n'), ((596, 633), 'cv2.cvtColor', 'cv2.cvtColor', (['left', 'cv2.COLOR_BGR2HSV'], {}), '(left, cv2.COLOR_BGR2HSV)\n', (608, 633), False, 'import cv2\n'), ((658, 680), 'numpy.array', '...
""" Mermaid extensions for Markdown. Renders the output inline, eliminating the need to configure an output directory. Supports outputs types of SVG and PNG. The output will be taken from the filename specified in the tag. Example: ```mermaid graph TD A[Client] --> B[Load Balancer] ``` Requires the mermaid cli (http...
[ "subprocess.Popen", "tempfile.TemporaryDirectory", "re.compile" ]
[((587, 674), 're.compile', 're.compile', (['"""^```mermaid\\\\s*\\\\n(?P<content>.*?)```\\\\s*$"""', '(re.MULTILINE | re.DOTALL)'], {}), "('^```mermaid\\\\s*\\\\n(?P<content>.*?)```\\\\s*$', re.MULTILINE | re.\n DOTALL)\n", (597, 674), False, 'import re\n'), ((1523, 1552), 'tempfile.TemporaryDirectory', 'tempfile.T...
from textwrap import dedent from typing import Dict, List import pytest import gen from gen.tests.utils import make_arguments, true_false_msg, validate_error class TestAdminRouterTLSConfig: """ Tests for the Admin Router TLS configuration on complete file configuration level. """ def test_maste...
[ "textwrap.dedent", "gen.tests.utils.make_arguments", "gen.tests.utils.validate_error", "gen.generate", "pytest.mark.parametrize" ]
[((2630, 2833), 'pytest.mark.parametrize', 'pytest.mark.parametrize', (['"""tls_versions,ciphers"""', "[(('true', 'true', 'false'), ''), (('false', 'true', 'true'),\n 'EECDH+AES256:RSA+AES256'), (('false', 'true', 'false'),\n 'EECDH+AES256:RSA+AES256')]"], {}), "('tls_versions,ciphers', [(('true', 'true', 'false'...
import uuid from django.db import models class BaseModel(models.Model): """Opinionated Django base model""" id = models.UUIDField(primary_key=True, default=uuid.uuid4, editable=False) created_at = models.DateTimeField(auto_now_add=True) updated_at = models.DateTimeField(auto_now=True) class Met...
[ "django.db.models.DateTimeField", "django.db.models.UUIDField" ]
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# Copyright 2018 The Cirq Developers # # 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 # # https://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in ...
[ "pytest.raises", "cirq.QasmArgs" ]
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import logging logger = logging.getLogger("main") logger.setLevel(logging.DEBUG) console_handler = logging.StreamHandler() console_handler.setLevel(logging.DEBUG) formatter = logging.Formatter(">>> %(levelname)s : %(message)s") console_handler.setFormatter(formatter) logger.addHandler(console_handler) logger.propa...
[ "logging.Formatter", "logging.StreamHandler", "logging.getLogger" ]
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import os import unittest from testfixtures import tempdir, compare import ed25519 from nacl.public import PrivateKey, PublicKey from nacl.encoding import HexEncoder as KeyFormatter from crypt4gh.crypt4gh import encrypt, decrypt, reencrypt, Header from . import data as test_data class TestCrypt4GH(unittest.TestCase...
[ "nacl.public.PublicKey", "testfixtures.tempdir", "crypt4gh.crypt4gh.encrypt" ]
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# Lint as: python3 # Copyright 2020 The TensorFlow Authors. All Rights Reserved. # # 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 ...
[ "lingvo.compat.test.main", "numpy.random.seed", "numpy.abs", "numpy.sum", "numpy.einsum", "numpy.ones", "numpy.argmin", "lingvo.compat.range", "numpy.arange", "numpy.tile", "numpy.exp", "lingvo.compat.global_variables_initializer", "lingvo.core.attention_util.PositionalAttenLogits.Params", ...
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# yacon.admin.py import logging from django.contrib import admin from treebeard.admin import TreeAdmin from treebeard.forms import movenodeform_factory from yacon.models.groupsq import GroupOfGroups from yacon.models.hierarchy import Node from yacon.models.pages import MetaPage, Page logger = logging.getLogger(__na...
[ "django.contrib.admin.register", "treebeard.forms.movenodeform_factory", "logging.getLogger" ]
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__author__ = 'larry' import heapq import os import tempfile def file_chunk_lines(f, chunk_size=65536): """Read chunks of lines and yield them one by one We default to a smaller chunk than the buffer size because we will be reading this from many files at the same time - **parameters**, **types**, **retu...
[ "os.fdopen", "os.mkdir", "heapq.merge", "tempfile.mkstemp" ]
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import sys, os sys.path.append(os.environ['d']) import torch.nn.functional from utils.opt import * from build_access import * from dataloader_access import * from torch.optim import * import numpy as np gpu0 = torch.device('cpu') if torch.cuda.is_available(): gpu0 = torch.device('cuda:0') tprint('buiding access...
[ "sys.path.append", "numpy.mean" ]
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import abc import math import datetime import collections import sqlalchemy as sa import marshmallow as ma from marshmallow.utils import isoformat from webservices.spec import spec def _format_value(value): if isinstance(value, datetime.datetime): return isoformat(value) if isinstance(value, datetim...
[ "sqlalchemy.tuple_", "marshmallow.fields.Integer", "math.ceil", "webservices.spec.spec.definition", "marshmallow.utils.isoformat", "marshmallow.fields.Raw", "marshmallow.fields.Nested" ]
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import asyncio import base64 import json import logging import tempfile import traceback from collections import namedtuple from contextlib import asynccontextmanager from pathlib import Path from typing import AsyncGenerator, List, Optional import aiofiles import httpx import yaml from aiofiles import os as aiofiles_...
[ "tenacity.stop.stop_after_attempt", "tempfile._get_candidate_names", "asyncio.get_event_loop", "pathlib.Path.home", "aiofiles.open", "tenacity.wait.wait_fixed", "tenacity.before_sleep.before_sleep_log", "json.dumps", "httpx.AsyncClient", "logging.info", "pathlib.Path", "aiofiles.os.remove", ...
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# coding=utf-8 # The MIT License (MIT) # Copyright (c) Microsoft Corporation # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # t...
[ "unittest.main", "transformers.UnilmForSeq2Seq", "transformers.is_torch_available", "transformers.UnilmModel.from_pretrained", "transformers.UnilmConfig", "shutil.rmtree", "transformers.modeling_unilm.UNILM_PRETRAINED_MODEL_ARCHIVE_MAP.keys" ]
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def interactive(): """ Code for all the interactive prompts throughout the chapter. >>> import myset >>> s1 = myset.MySet() >>> s2 = myset.MySet() >>> s1.add(1) >>> s2.add('a') >>> s1.items() [1] >>> s2.items() ['a'] >>> myset.MySet.__dict__ [...('__init__', <function __init__ at 0x...>), ('__module__', 'myset'...
[ "doctest.testmod" ]
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from hls4ml.converters.keras_to_hls import parse_default_keras_layer from hls4ml.converters.keras_to_hls import keras_handler from hls4ml.converters.keras.core import parse_dense_layer from hls4ml.converters.keras.convolution import parse_conv1d_layer from hls4ml.converters.keras.convolution import parse_conv2d_layer ...
[ "hls4ml.converters.keras.core.parse_dense_layer", "hls4ml.converters.keras_to_hls.keras_handler", "hls4ml.converters.keras_to_hls.parse_default_keras_layer", "hls4ml.converters.keras.convolution.parse_conv1d_layer", "hls4ml.converters.keras.convolution.parse_conv2d_layer" ]
[((393, 416), 'hls4ml.converters.keras_to_hls.keras_handler', 'keras_handler', (['"""QDense"""'], {}), "('QDense')\n", (406, 416), False, 'from hls4ml.converters.keras_to_hls import keras_handler\n'), ((924, 959), 'hls4ml.converters.keras_to_hls.keras_handler', 'keras_handler', (['"""QConv1D"""', '"""QConv2D"""'], {}),...
"Geocoder app" from flask import Blueprint geocoder = Blueprint("geocoder", __name__)
[ "flask.Blueprint" ]
[((56, 87), 'flask.Blueprint', 'Blueprint', (['"""geocoder"""', '__name__'], {}), "('geocoder', __name__)\n", (65, 87), False, 'from flask import Blueprint\n')]
""" Class for table approves_room_request """ from datetime import datetime from . import db class ApprovesRoomRequest(db.Model): """This class connects which approver is currently responsible for which room request.""" room_request_id = db.Column(db.Integer, db.ForeignKey('room_request.id'), primary_key=True) ap...
[ "datetime.datetime.now" ]
[((474, 488), 'datetime.datetime.now', 'datetime.now', ([], {}), '()\n', (486, 488), False, 'from datetime import datetime\n')]
# Copyright 2021 Intel Corporation # # 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 wr...
[ "numba.core.types.Function", "numba.core.types.ArrayFlags", "numba.core.types.ArrayCTypes", "numba.np.arrayobj._array_copy", "sys.stdout.flush", "sys.exc_info", "numba.core.imputils.builtin_registry.functions.append", "llvmlite.binding.add_symbol", "numba.core.typing.npydecl.registry.register_global...
[((4380, 4409), 'numba.extending.typeof_impl.register', 'typeof_impl.register', (['ndarray'], {}), '(ndarray)\n', (4400, 4409), False, 'from numba.extending import typeof_impl, register_model, type_callable, lower_builtin\n'), ((5311, 5334), 'numba.core.pythonapi.box', 'box', (['UsmSharedArrayType'], {}), '(UsmSharedAr...
import asyncio word_list = ["Life", "is", "short"] async def print_task(): for w in word_list: await asyncio.sleep(0.1) print(w, end=" ") def run(): loop = asyncio.new_event_loop() loop.run_until_complete(print_task()) loop.close() main = run
[ "asyncio.sleep", "asyncio.new_event_loop" ]
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# coding=utf-8 __author__ = 'menghui' import string import re import shlex import service.utils as utils class SQLExpParseError(Exception): ''' SQL分析器异常 ''' def __init__(self, msg): self.msg = msg def __str__(self): return self.msg class SQLDirector: def __init__(self, buil...
[ "service.utils.convertToNumber", "service.utils.isnumeric", "re.findall", "shlex.shlex", "re.search" ]
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from multiprocessing.connection import Client, Listener from typing import Tuple from .Message import Message class ConnectionHolder: def __init__(self): self.conn = None def send_message(self, message: Message): self.conn.send(message) def has_new_message(self): return self.con...
[ "multiprocessing.connection.Listener", "multiprocessing.connection.Client" ]
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from blogfetch import DB a = DB() while True: a.add(raw_input('Enter site: '))
[ "blogfetch.DB" ]
[((29, 33), 'blogfetch.DB', 'DB', ([], {}), '()\n', (31, 33), False, 'from blogfetch import DB\n')]
"""Support for LIRC devices.""" # pylint: disable=no-member, import-error import threading import time import logging import voluptuous as vol from homeassistant.const import ( EVENT_HOMEASSISTANT_STOP, EVENT_HOMEASSISTANT_START) _LOGGER = logging.getLogger(__name__) BUTTON_NAME = 'button_name' DOMAIN = 'lirc'...
[ "threading.Thread.__init__", "lirc.deinit", "lirc.init", "time.sleep", "threading.Event", "voluptuous.Schema", "lirc.nextcode", "logging.getLogger" ]
[((247, 274), 'logging.getLogger', 'logging.getLogger', (['__name__'], {}), '(__name__)\n', (264, 274), False, 'import logging\n'), ((734, 777), 'lirc.init', 'lirc.init', (['"""home-assistant"""'], {'blocking': '(False)'}), "('home-assistant', blocking=False)\n", (743, 777), False, 'import lirc\n'), ((435, 449), 'volup...
#!/usr/bin/env python3 import unittest from util import connect, load_data LISTINGS_DATA = "YVR_Airbnb_listings_summary.csv" REVIEWS_DATA = "YVR_Airbnb_reviews.csv" CREATE_LISTINGS_TABLE = ''' CREATE TABLE listings ( id INTEGER, -- ID of the listing name TEXT, -- Title of the list...
[ "unittest.main", "util.load_data", "util.connect" ]
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import hashlib from typing import List, Union from cryptography.exceptions import InvalidSignature from webauthn.helpers import ( bytes_to_base64url, decode_credential_public_key, decoded_public_key_to_cryptography, parse_authenticator_data, parse_client_data_json, verify_signature, ) from web...
[ "webauthn.helpers.decoded_public_key_to_cryptography", "webauthn.helpers.verify_signature", "webauthn.helpers.bytes_to_base64url", "hashlib.sha256", "webauthn.helpers.exceptions.InvalidAuthenticationResponse", "webauthn.helpers.parse_authenticator_data", "webauthn.helpers.decode_credential_public_key", ...
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# -*- coding: utf-8 -*- # Generated by Django 1.10 on 2017-02-26 13:48 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('twitter', '0004_twitteraccount_events'), ] operations = [ migrations.AlterField( model_name='twitteraccoun...
[ "django.db.models.CharField" ]
[((382, 424), 'django.db.models.CharField', 'models.CharField', ([], {'default': '(0)', 'max_length': '(20)'}), '(default=0, max_length=20)\n', (398, 424), False, 'from django.db import migrations, models\n')]
import html5lib from sdklib.compat import StringIO, str, convert_bytes_to_str from sdklib.html.base import HTMLLxmlMixin, AbstractBaseHTML, HTML5libMixin class HTML5lib(HTML5libMixin, AbstractBaseHTML): """ HTML class using html5lib parser. """ def __init__(self, dom): self._parse(dom=dom) ...
[ "html5lib.parse", "sdklib.compat.convert_bytes_to_str", "lxml.etree.HTMLParser" ]
[((404, 423), 'html5lib.parse', 'html5lib.parse', (['dom'], {}), '(dom)\n', (418, 423), False, 'import html5lib\n'), ((865, 883), 'lxml.etree.HTMLParser', 'etree.HTMLParser', ([], {}), '()\n', (881, 883), False, 'from lxml import etree\n'), ((929, 954), 'sdklib.compat.convert_bytes_to_str', 'convert_bytes_to_str', (['d...
# -*- coding: utf-8 -*- """ # api clients for wangduoyun **copyright** (c) 2021 by <NAME> <<EMAIL>> """ import hashlib import datetime from functools import wraps import urllib.parse from typing import Callable, Dict, Tuple from restful_client_lite import APIClient class WangduoyunApiClient(APIClient): """ ...
[ "hashlib.md5", "datetime.datetime.now", "functools.wraps" ]
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import json from django.conf import settings from Native_Service.lib.native_service import ProgressStages import requests def get_token(): """ Function requests PayU for necessary token to make payment. return is a dict with the following keys: 'access_token' - main result to make payment, 'tok...
[ "json.decoder.JSONDecoder", "requests.Session", "Native_Service.lib.native_service.ProgressStages", "json.dumps" ]
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