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import pytest import numpy as np from examples.protocol import Protocol from examples.tools import generate_sound, WindowConfiguration @pytest.fixture def prepare_sound(): def create_sound(sound_index, duration, sample_rate, data_type): # generate sound window_config = WindowConfiguration(left_du...
[ "pytest.mark.parametrize", "examples.tools.generate_sound", "examples.tools.WindowConfiguration" ]
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# Copyright (c) 2016-present, <NAME>. All rights reserved. # # Redistribution and use in source and binary forms, with or without # modification, are permitted provided that the following conditions # are met: # # * Redistributions of source code must retain the above copyright # notice, this list of conditio...
[ "os.system", "os.chdir", "os.path.exists" ]
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import time import rasiberryPiGPIOBaseController.driver.BMP180 as devBMP180 class BMP180: def __init__(self, address=0x77): self._address = address self.device = devBMP180.BMP180(address) def getTemperature(self): return self.device.read_temperature() def getPressure(self): return self.dev...
[ "rasiberryPiGPIOBaseController.driver.BMP180.BMP180" ]
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# coding: utf-8 """ KubeVirt API This is KubeVirt API an add-on for Kubernetes. OpenAPI spec version: 1.0.0 Contact: <EMAIL> Generated by: https://github.com/swagger-api/swagger-codegen.git """ from pprint import pformat from six import iteritems import re class V1alpha1VolumeRestore(object):...
[ "six.iteritems" ]
[((4695, 4724), 'six.iteritems', 'iteritems', (['self.swagger_types'], {}), '(self.swagger_types)\n', (4704, 4724), False, 'from six import iteritems\n')]
import json import sdk.util as util from sdk.data import compression from sdk.data.CANFrame import CANFrame from sdk.data.Mappable import Mappable, NoneAsMappable, ListAsMappable, StringAsMappable class Message(Mappable): """ Request base class""" __slots__ = ('message', 'type', 'id') def __init__(self...
[ "json.loads", "sdk.data.Mappable.ListAsMappable", "sdk.data.Mappable.NoneAsMappable", "sdk.data.Mappable.StringAsMappable", "sdk.data.compression.decompress" ]
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from django.conf.urls import patterns, include, url urlpatterns = patterns('', url(r'^oauth2/callback/$', 'idt_oauth2.views.oauth2_callback', name='oauth2_callback'), url(r'^oauth2/authorize/(?P<service_name>(\w+))/$', 'idt_oauth2.views.oauth2_authorize', name='oauth2_authorize'), )
[ "django.conf.urls.url" ]
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import json with open('strings.json') as json_data: d = json.load(json_data) print(d) pprint(data)
[ "json.load" ]
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# -*- coding: utf-8 -*- # This file is part of Shuup Admin Channel # # Copyright (c) 2019, <NAME>. All rights reserved. # # This source code is licensed under the MIT license found in the # LICENSE file in the root directory of this source tree. import json from django.utils.translation import ugettext class SendAle...
[ "django.utils.translation.ugettext", "json.dumps" ]
[((972, 1066), 'json.dumps', 'json.dumps', (["{'command': 'alert', 'message': payload['message'], 'level': payload['level']}"], {}), "({'command': 'alert', 'message': payload['message'], 'level':\n payload['level']})\n", (982, 1066), False, 'import json\n'), ((1332, 1363), 'django.utils.translation.ugettext', 'ugett...
"""Node Count ETL""" import logging import os from etl import ETL from files import TXTFile from .helpers import Neo4jHelper class NodeCountETL(ETL): """Node Count ETL""" logger = logging.getLogger(__name__) def __init__(self, config): super().__init__() self.data_type_config = config ...
[ "os.path.join", "files.TXTFile", "logging.getLogger" ]
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from PyQt5.QtWidgets import * import sys from PyQt5.QtWebEngineWidgets import * from PyQt5.QtCore import * from PyQt5 import QtGui import requests import validators from settings import settings from urllib.parse import quote from xml.etree import ElementTree as ET class MainWindow(QMainWindow)...
[ "PyQt5.QtGui.QIcon", "xml.etree.ElementTree.fromstring", "validators.url", "PyQt5.QtGui.QMovie", "urllib.parse.quote", "requests.get" ]
[((515, 548), 'PyQt5.QtGui.QMovie', 'QtGui.QMovie', (['"""icons/loading.gif"""'], {}), "('icons/loading.gif')\n", (527, 548), False, 'from PyQt5 import QtGui\n'), ((4472, 4492), 'validators.url', 'validators.url', (['text'], {}), '(text)\n', (4486, 4492), False, 'import validators\n'), ((635, 658), 'PyQt5.QtGui.QIcon',...
from aiokafka import ConsumerRecord from kafkaesk.exceptions import ProducerUnhealthyException from kafkaesk.kafka import KafkaTopicManager from kafkaesk.retry import Forward from unittest.mock import call from unittest.mock import MagicMock from unittest.mock import Mock from unittest.mock import patch import aiokafk...
[ "uuid.uuid4", "unittest.mock.MagicMock", "asyncio.sleep", "unittest.mock.Mock", "unittest.mock.AsyncMock", "unittest.mock.patch", "pytest.raises", "unittest.mock.call", "kafkaesk.retry.Forward" ]
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#!/usr/bin/env python # -*- coding:utf-8 -*- """ Program: Sample app Version: 0.3.4 History: Created on 2018/05/20 Last modified on 2021/10/08 Author: kwkw """ from flask import Blueprint, Flask, jsonify from flask_docs import ApiDoc app = Flask(__name__) # Using CDN # app.config["API_DOC_CDN"]...
[ "flask_docs.ApiDoc", "flask.jsonify", "flask.Flask", "flask.Blueprint" ]
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# -*- coding: utf-8 -*- """Streaming price data. demonstrate the PricingStream request and convenient handling of data using Pydantic. Usage: streaming_prices.py --instrument <instrument> [--instrument <instrument>] [--nice] [--timeout <timeout>] [--count <count>] Options: --nice json indente...
[ "logging.basicConfig", "docopt.docopt", "oandapyV20.API", "exampleauth.exampleAuth", "logging.getLogger" ]
[((798, 932), 'logging.basicConfig', 'logging.basicConfig', ([], {'filename': '"""pricingstream.log"""', 'level': 'logging.INFO', 'format': '"""%(asctime)s [%(levelname)s] %(name)s : %(message)s"""'}), "(filename='pricingstream.log', level=logging.INFO,\n format='%(asctime)s [%(levelname)s] %(name)s : %(message)s')\...
# Generated by Django 3.1.2 on 2020-12-30 17:55 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('menucard', '0001_initial'), ] operations = [ migrations.AddField( model_name='alkoholfreiedrinks', name='zusatzstoff...
[ "django.db.models.CharField", "django.db.models.DecimalField" ]
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#!/usr/bin/python # -*- coding: utf-8 -*- from __future__ import print_function import os from exhibitionist import get_server from exhibitionist.util.common import UrlDisplay import handlers pjoin = os.path.join dirname = lambda x: os.path.abspath(os.path.dirname(x)) # tell the server where the templates and stat...
[ "exhibitionist.util.common.UrlDisplay", "os.path.dirname", "exhibitionist.get_server" ]
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import time import traceback from dataclasses import dataclass import sqlite3 import argparse from abc import ABC, abstractmethod from typing import List, Any import pandas as pd import surprise from aiohttp.web_exceptions import HTTPException from surprise import KNNBaseline from surprise import Reader, Dataset impor...
[ "aiohttp.web.Response", "traceback.print_exc", "argparse.ArgumentParser", "surprise.Dataset.load_from_df", "surprise.Reader", "joblib.dump", "aiohttp.web.options", "time.time", "aiohttp.web.HTTPBadRequest", "aiohttp.web.get", "sqlite3.connect", "aiohttp.web.run_app", "pandas.read_sql", "jo...
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import os import hashlib def duplicados(path, extension): ret = {} # Para cada arquivo no diretorio for filename in os.listdir(path): # Somente arquivos com a extensão desejada if filename.endswith(extension): # Monta o caminho completo do arquivo fullpath = os.p...
[ "os.path.join", "os.listdir" ]
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import random if __name__ == '__main__': cnt=0 ans = random.randint(0,9) print("answer is:"+str(ans)) guess = int(input("Guess a num:")) cnt += 1 while ans != guess: if (ans>guess): print("你猜的数字小于正确答案") else: print("你猜的数字大于正确答案") cnt +=...
[ "random.randint" ]
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''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' \file Grid.py \brief Object to store a pointcloud in a regular grid. \copyright Copyright (c) 2021 Visual Computing group of Ulm University, Germany. See the LICENSE file at the top-level directory of ...
[ "os.path.abspath", "tensorflow.math.ceil", "tensorflow.reverse", "tensorflow.gather", "os.path.dirname", "tensorflow.shape", "IEProtLibModule.build_grid_ds", "tensorflow.reduce_max", "IEProtLibModule.compute_keys", "os.path.join" ]
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# pytest -s stereo.py -k [name] import math import random import pytest from conftest import checker, ver from unrealcv import client class Vec3: def __init__(self, data): if isinstance(data, str): self.vec = [float(v) for v in data.split(' ')] if isinstance(data, list): s...
[ "conftest.checker.not_error", "math.sqrt", "unrealcv.client.request", "conftest.checker.is_ok", "unrealcv.client.connect", "random.randrange", "conftest.ver" ]
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import itertools from collections import defaultdict import aocd def chunk_iterable(iterable, size): fill_value = object() chunks = [iter(iterable)] * size for chunk in itertools.zip_longest(*chunks, fillvalue=fill_value): yield (i for i in chunk if i is not fill_value) def parse_boards(data): ...
[ "collections.defaultdict", "itertools.zip_longest", "aocd.get_data" ]
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import nltk from sklearn.feature_extraction.text import TfidfVectorizer from sklearn.metrics.pairwise import cosine_similarity import string from selenium.webdriver.common.keys import Keys nltk.download('punkt') nltk.download('wordnet') lemmer = nltk.stem.WordNetLemmatizer() remove_punct_dict = dict((ord(punct), No...
[ "sklearn.feature_extraction.text.TfidfVectorizer", "nltk.download", "sklearn.metrics.pairwise.cosine_similarity", "nltk.stem.WordNetLemmatizer" ]
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from typing import List from xml.etree.ElementTree import Element, SubElement from markdown import Markdown from markdown.blockprocessors import BlockProcessor from markdown.extensions import Extension class ParagraphProcessor(BlockProcessor): """ Process Paragraph blocks. """ def test(self, parent: Element...
[ "xml.etree.ElementTree.SubElement" ]
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""" Synthesize speech from the extracted text. """ import os from os import system import matplotlib.pyplot as plt from tqdm import tqdm from pprint import pformat import logging from scipy.io import wavfile import numpy as np def _remove_if_exists(filepath: str): os.remove(filepath) if os.path.isfile(filepath) ...
[ "tqdm.tqdm", "os.remove", "numpy.abs", "pprint.pformat", "os.system", "scipy.io.wavfile.write", "scipy.io.wavfile.read", "logging.info", "os.path.isfile", "numpy.argwhere", "os.path.join" ]
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from widgetastic.widget import View from widgetastic_patternfly4 import Button def test_button_click(browser): class TestView(View): any_button = Button() button1 = Button("Primary") button2 = Button("Link to Core Docs") view = TestView(browser) assert view.any_button.is_displayed...
[ "widgetastic_patternfly4.Button" ]
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import pytest import edera.helpers from edera.helpers import memoized def test_functions_can_be_memoized(): @memoized def fibonacci(n): fibonacci.calls += 1 return 1 if n <= 2 else fibonacci(n - 1) + fibonacci(n - 2) fibonacci.calls = 0 assert fibonacci(100) == 35422484817926191507...
[ "pytest.raises" ]
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# -*- coding: utf-8 -*- # Copyright 2018 Amazon.com, Inc. or its affiliates. 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. A copy of # the License is located at # # http://aws.amazon.com/apache2.0/ # # or ...
[ "sagemaker.utils.name_from_base", "sagemaker.utils.to_str", "sagemaker.utils.secondary_training_status_message", "pandas_is_not_installed.DataFrame", "sagemaker.utils.get_config_value", "mock.patch", "sagemaker.utils.extract_name_from_job_arn", "pytest.raises", "sagemaker.utils.DeferredError", "sa...
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#!/usr/bin/python3 # -*- coding: utf-8 -*- ''' no good way ''' import sys sys.path.append('../') import cw as Test import time def count_str_alpha(str): out_temp={} for i in str: if i.islower(): out_temp[i] =out_temp.get(i,-1)+1 else: pass return (out_temp) def...
[ "sys.path.append", "cw.it", "time.perf_counter", "cw.describe" ]
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""" My solution for the Problem 2 on Day 21 of Advent of Code 2020. """ from functools import reduce import operator from itertools import product import networkx as nx def hopcroft_karp(g): """ Given a bipartite graph, compute a maximum matching. :param g: A networkx graph. :return: A dict with...
[ "networkx.algorithms.bipartite.matching.hopcroft_karp_matching", "networkx.Graph" ]
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import time import unittest from fds.analyticsapi.engines.api.fi_calculations_api import FICalculationsApi from fds.analyticsapi.engines.model.fi_calculation_parameters import FICalculationParameters from fds.analyticsapi.engines.model.fi_calculation_parameters_root import FICalculationParametersRoot from fds.analytic...
[ "unittest.main", "fds.analyticsapi.engines.model.fi_calculation_parameters.FICalculationParameters", "time.sleep", "fds.analyticsapi.engines.model.fi_job_settings.FIJobSettings", "fds.analyticsapi.engines.model.fi_security.FISecurity", "fds.analyticsapi.engines.api.fi_calculations_api.FICalculationsApi", ...
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from django.conf.urls import patterns, url from rest_framework import routers from . import views urlpatterns = patterns('', url('^auth$', views.AuthView.as_view(), name='authenticate') ) router = routers.DefaultRouter(trailing_slash=False) ro...
[ "rest_framework.routers.DefaultRouter" ]
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from sys import stderr, exit import collections import random from multilanguage import Env, Lang, TALcolors from TALinputs import TALinput from euler_dir_lib import * # METADATA OF THIS TAL_SERVICE: args_list = [ ('num_calls',str), ('n',int), ('m',int), ] ENV =Env(args_list) TAc =TALcolors(ENV) LANG=La...
[ "multilanguage.Env", "multilanguage.TALcolors", "sys.exit" ]
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from collections import deque class Queue: data = deque() size = 0 def enqueue(self, val): self.size += 1 self.data.append(val) def dequeue(self): self.size -= 1 return self.data.popleft() def empty(self): return self.size == 0 def __len__(self): ...
[ "collections.deque" ]
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"""Lux models are built on top of * Marshmallow Schemas * SqlAlchemy models """ from marshmallow import ValidationError, post_dump, post_load from marshmallow.validate import OneOf import inflect from .schema import Schema, resource_name, get_schema_class from .component import Component from .model import ModelCont...
[ "inflect.engine" ]
[((410, 426), 'inflect.engine', 'inflect.engine', ([], {}), '()\n', (424, 426), False, 'import inflect\n')]
import eel from screeninfo import get_monitors class Config: """Configuration class.""" __is_init = False __cache = {} __callbacks = {} @staticmethod def __init(): if not Config.__is_init: dimension = (1200, 800) position = [ ( ...
[ "screeninfo.get_monitors" ]
[((467, 481), 'screeninfo.get_monitors', 'get_monitors', ([], {}), '()\n', (479, 481), False, 'from screeninfo import get_monitors\n')]
"""Custom yaml tag handlers module.""" """ Copyright 2021 Deutsche Telekom AG 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 Unles...
[ "uuid.uuid4" ]
[((1668, 1680), 'uuid.uuid4', 'uuid.uuid4', ([], {}), '()\n', (1678, 1680), False, 'import uuid\n')]
""" retrieves upcoming maintenance windows for RDS clusters and instances. """ from typing import Optional, Dict, Tuple from datetime import datetime import boto3 from mypy_boto3_rds import RDSClient from aws_maintenance_window_reporter.maintenance_action import MaintenanceAction from aws_maintenance_window_reporter....
[ "datetime.datetime.utcnow" ]
[((3945, 3962), 'datetime.datetime.utcnow', 'datetime.utcnow', ([], {}), '()\n', (3960, 3962), False, 'from datetime import datetime\n')]
from urllib.request import urlopen from bs4 import BeautifulSoup import ssl ctx = ssl.create_default_context() ctx.check_hostname = False ctx.verify_mode = ssl.CERT_NONE html = urlopen('http://py4e-data.dr-chuck.net/comments_33075.html', context=ctx).read() soup = BeautifulSoup(html, "html.parser") print(sum([int(t...
[ "bs4.BeautifulSoup", "ssl.create_default_context", "urllib.request.urlopen" ]
[((83, 111), 'ssl.create_default_context', 'ssl.create_default_context', ([], {}), '()\n', (109, 111), False, 'import ssl\n'), ((268, 302), 'bs4.BeautifulSoup', 'BeautifulSoup', (['html', '"""html.parser"""'], {}), "(html, 'html.parser')\n", (281, 302), False, 'from bs4 import BeautifulSoup\n'), ((179, 252), 'urllib.re...
# -*- coding: utf-8 -*- # Generated by Django 1.9.4 on 2017-06-05 14:06 from __future__ import unicode_literals from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('nomi', '0037_auto_20170605_1120'), ] operations = [ migrations.CreateModel( ...
[ "django.db.models.CharField", "django.db.models.AutoField" ]
[((626, 856), 'django.db.models.CharField', 'models.CharField', ([], {'choices': "[('Nomination created', 'Nomination created'), ('Nomination out',\n 'Nomination out'), ('Interview period', 'Interview period'), (\n 'Compiled', 'Compiled')]", 'default': '"""Post created"""', 'max_length': '(50)'}), "(choices=[('No...
# Copyright 2020 <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, ...
[ "re.compile" ]
[((1992, 2044), 're.compile', 're.compile', (['"""(?P<intName>\\\\S+)\\\\((?P<state>\\\\w+)\\\\)"""'], {}), "('(?P<intName>\\\\S+)\\\\((?P<state>\\\\w+)\\\\)')\n", (2002, 2044), False, 'import re\n')]
import torch import torch.nn as nn import torch.nn.functional as F import numpy as np from tqdm import tqdm # Let's solve: # -d^2(u)/dx^2 = sin(2 * pi * x) # On the domain [0, 1], with the BC u_func(0) = 0, u_func(1) = 0. # Device run_on_gpu = False if run_on_gpu: assert torch.cuda.is_available(), "No CUDA-enable...
[ "torch.ones_like", "torch.mean", "matplotlib.pyplot.show", "torch.cuda.is_available", "torch.nn.Linear", "torch.device", "torch.linspace", "torch.sin", "torch.tensor" ]
[((2642, 2652), 'matplotlib.pyplot.show', 'plt.show', ([], {}), '()\n', (2650, 2652), True, 'import matplotlib.pyplot as plt\n'), ((278, 303), 'torch.cuda.is_available', 'torch.cuda.is_available', ([], {}), '()\n', (301, 303), False, 'import torch\n'), ((347, 367), 'torch.device', 'torch.device', (['"""cuda"""'], {}), ...
from django import forms from django.contrib.auth.forms import UserChangeForm from django.forms import ModelForm from usuarios.models import MyUser, Person class SignUpForm(ModelForm): email = forms.EmailField(required=True) password = forms.CharField(min_length=6, widget=forms.PasswordInput()) password_...
[ "django.forms.EmailField", "django.forms.PasswordInput", "django.forms.ValidationError", "usuarios.models.MyUser.objects.filter", "django.forms.CharField" ]
[((200, 231), 'django.forms.EmailField', 'forms.EmailField', ([], {'required': '(True)'}), '(required=True)\n', (216, 231), False, 'from django import forms\n'), ((1243, 1274), 'django.forms.EmailField', 'forms.EmailField', ([], {'required': '(True)'}), '(required=True)\n', (1259, 1274), False, 'from django import form...
# -*- coding: utf-8 -*- import click import logging import pandas as pd from pathlib import Path def main(input_filepath, output_filepath, number_of_households): """ Runs data processing scripts to turn raw data from (../raw) into cleaned data ready to be analyzed (saved in ../processed). """ logg...
[ "logging.basicConfig", "pandas.read_csv", "pathlib.Path", "pandas.to_datetime", "pandas.melt", "logging.getLogger" ]
[((325, 352), 'logging.getLogger', 'logging.getLogger', (['__name__'], {}), '(__name__)\n', (342, 352), False, 'import logging\n'), ((451, 478), 'pandas.read_csv', 'pd.read_csv', (['input_filepath'], {}), '(input_filepath)\n', (462, 478), True, 'import pandas as pd\n'), ((572, 720), 'pandas.melt', 'pd.melt', (['data'],...
import pytest from tartiflette import Resolver, create_engine _SDL = """ type Query { hello(name: String = "Unknown"): String bye(name: String! = "Unknown"): String } """ @pytest.fixture(scope="module") async def ttftt_engine(): @Resolver("Query.hello", schema_name="test_issue213") async def resolve_que...
[ "pytest.mark.parametrize", "tartiflette.Resolver", "pytest.fixture", "tartiflette.create_engine" ]
[((180, 210), 'pytest.fixture', 'pytest.fixture', ([], {'scope': '"""module"""'}), "(scope='module')\n", (194, 210), False, 'import pytest\n'), ((680, 3247), 'pytest.mark.parametrize', 'pytest.mark.parametrize', (['"""query,variables,expected"""', '[("""\n query {\n hello\n }\n ...
import json from brownie import Contract, accounts, config, interface ########################## Global Variables ########################### MAX_INT = 2**256-1 ####################################################################### def get_abi(abi): """ Helper function to load abis """ f = open(...
[ "json.load", "brownie.interface.IAny", "brownie.accounts.add" ]
[((369, 381), 'json.load', 'json.load', (['f'], {}), '(f)\n', (378, 381), False, 'import json\n'), ((549, 594), 'brownie.accounts.add', 'accounts.add', (["config['wallets']['privateKey']"], {}), "(config['wallets']['privateKey'])\n", (561, 594), False, 'from brownie import Contract, accounts, config, interface\n'), ((9...
# # (C) dGB Beheer B.V.; (LICENSE) http://opendtect.org/OpendTect_license.txt # AUTHOR : <NAME> # DATE : June 2020 # # dGB Keras machine learning models in UserModel format # from keras.models import * from keras.layers import * from keras import backend as kb from dgbpy.keras_classes import UserModel, DataPred...
[ "tensorflow.math.log", "tensorflow.reduce_sum", "tensorflow.clip_by_value", "tensorflow.nn.weighted_cross_entropy_with_logits", "tensorflow.convert_to_tensor", "keras.backend.epsilon", "tensorflow.reduce_mean", "keras.optimizers.Adam", "tensorflow.cast", "dgbpy.dgbkeras.getModelDims", "dgbpy.dgb...
[((413, 442), 'tensorflow.convert_to_tensor', 'tf.convert_to_tensor', ([], {'value': 'x'}), '(value=x)\n', (433, 442), True, 'import tensorflow as tf\n'), ((982, 1030), 'tensorflow.clip_by_value', 'tf.clip_by_value', (['y_pred', '_epsilon', '(1 - _epsilon)'], {}), '(y_pred, _epsilon, 1 - _epsilon)\n', (998, 1030), True...
from setuptools import setup, find_packages classifiers = [ 'Development Status :: 3 - Alpha', 'Intended Audience :: Developers', 'Intended Audience :: End Users/Desktop', 'Intended Audience :: Education', 'Operating System :: OS Independent', 'License :: OSI Approved :: MIT License', ...
[ "setuptools.find_packages" ]
[((981, 996), 'setuptools.find_packages', 'find_packages', ([], {}), '()\n', (994, 996), False, 'from setuptools import setup, find_packages\n')]
#!python3 #-*- coding: utf-8 -*- import sys from .agent import Agent from .connection import QueueCommunicator from .connection import connect_socket_connection, accept_socket_connections class AgentServer(QueueCommunicator): def __init__(self, port=5010): """ Args: port (i...
[ "sys._getframe" ]
[((4406, 4421), 'sys._getframe', 'sys._getframe', ([], {}), '()\n', (4419, 4421), False, 'import sys\n'), ((4931, 4946), 'sys._getframe', 'sys._getframe', ([], {}), '()\n', (4944, 4946), False, 'import sys\n'), ((5558, 5573), 'sys._getframe', 'sys._getframe', ([], {}), '()\n', (5571, 5573), False, 'import sys\n'), ((57...
#!/usr/bin/env python3 from downloadFistPem import DFPem from threading import Thread import urllib.request import traceback import socket import time def getRequest(url): req = urllib.request.Request(url) with urllib.request.urlopen(req) as res: print(res.read()) def test(): try: filepat...
[ "threading.Thread", "socket.gethostname", "downloadFistPem.DFPem.run", "time.sleep" ]
[((418, 429), 'downloadFistPem.DFPem.run', 'DFPem.run', ([], {}), '()\n', (427, 429), False, 'from downloadFistPem import DFPem\n'), ((664, 683), 'threading.Thread', 'Thread', ([], {'target': 'test'}), '(target=test)\n', (670, 683), False, 'from threading import Thread\n'), ((738, 751), 'time.sleep', 'time.sleep', (['(...
''' @Author: <NAME> @Date: 2020-04-14 10:32:20 @ # Description: ''' import torch import numpy as np import torch.nn as nn import time from torch.autograd import Variable import sys import os sys.path.append(os.path.abspath("utils")) from config import * from some_utils import * def _concat(xs): return torch.cat([x...
[ "torch.autograd.Variable", "os.path.abspath", "torch.no_grad", "torch.zeros_like" ]
[((209, 233), 'os.path.abspath', 'os.path.abspath', (['"""utils"""'], {}), "('utils')\n", (224, 233), False, 'import os\n'), ((1397, 1420), 'torch.zeros_like', 'torch.zeros_like', (['theta'], {}), '(theta)\n', (1413, 1420), False, 'import torch\n'), ((1938, 1953), 'torch.no_grad', 'torch.no_grad', ([], {}), '()\n', (19...
# Copyright 2022 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 agreed to...
[ "mindspore.context.set_context", "numpy.zeros", "mindspore.Tensor", "numpy.array", "numpy.arange", "pytest.mark.parametrize" ]
[((2374, 2468), 'pytest.mark.parametrize', 'pytest.mark.parametrize', (['"""func_name"""', "['update', 'min', 'max', 'add', 'sub', 'mul', 'div']"], {}), "('func_name', ['update', 'min', 'max', 'add', 'sub',\n 'mul', 'div'])\n", (2397, 2468), False, 'import pytest\n'), ((2466, 2570), 'pytest.mark.parametrize', 'pytes...
#!/usr/bin/python3.7 from time import time data = open("inputs/12.txt").read().split("\n") initialState = data[0].split()[-1] stateChanges = dict(map(lambda x: x.split(" => "), data[2:-1])) leftPad = 3 currentState = leftPad*"." + initialState + "."*80 def doStateChange(current, stateMap): current = ".."+current+"...
[ "time.time" ]
[((568, 574), 'time.time', 'time', ([], {}), '()\n', (572, 574), False, 'from time import time\n'), ((803, 809), 'time.time', 'time', ([], {}), '()\n', (807, 809), False, 'from time import time\n'), ((773, 779), 'time.time', 'time', ([], {}), '()\n', (777, 779), False, 'from time import time\n'), ((1390, 1396), 'time.t...
#!/usr/bin/env python3 ############################################################################### # Copyright 2015-2016 <NAME> - License: BSD 2-Clause License # # This file is a part of msu-bikedata, which currently licensed for public # use and distribution under terms of the BSD License. Refer to the 'License'...
[ "os.mkdir", "yaml.load", "compiledata._load_building_names", "random.shuffle", "yaml.dump", "compiledata.compile_data", "os.path.isfile", "visrep.inspect_summary_reports", "os.path.join", "math.radians", "random.seed", "math.cos", "csv.writer", "math.sqrt", "math.sin", "time.sleep", ...
[((1025, 1153), 'logging.basicConfig', 'logging.basicConfig', ([], {'format': '"""MONTESIM:%(levelname)s:%(asctime)s: %(message)s"""', 'filename': 'DEFLOGFILE', 'level': 'logging.INFO'}), "(format=\n 'MONTESIM:%(levelname)s:%(asctime)s: %(message)s', filename=DEFLOGFILE,\n level=logging.INFO)\n", (1044, 1153), ...
# from util_content_hash import content_hash from datetime import datetime import hashlib import json import struct import binascii from pathlib import Path from cfs.cfs_base import CFS_Base #from schemas.schema_aligned_cfs import metadata # this is an interface for the constant file system. it can be backed by a fi...
[ "hashlib.sha1", "datetime.datetime.fromtimestamp" ]
[((858, 888), 'datetime.datetime.fromtimestamp', 'datetime.fromtimestamp', (['raw_ts'], {}), '(raw_ts)\n', (880, 888), False, 'from datetime import datetime\n'), ((3024, 3038), 'hashlib.sha1', 'hashlib.sha1', ([], {}), '()\n', (3036, 3038), False, 'import hashlib\n')]
import numpy as np import matplotlib.pyplot as plt from tqdm import tqdm from numpy.linalg import matrix_power from pre_process import * from eigenfaces import * import copy from pre_process import load_mat, separate_data def save_dataset(): # Load the data from the matrix X, [y] = load_mat('data/face.mat') ...
[ "numpy.save", "pre_process.load_mat", "numpy.load" ]
[((293, 318), 'pre_process.load_mat', 'load_mat', (['"""data/face.mat"""'], {}), "('data/face.mat')\n", (301, 318), False, 'from pre_process import load_mat, separate_data\n'), ((805, 878), 'numpy.save', 'np.save', (["(DATA_DIR + 'processed_raw/data/training.npy')", "dataset['train_x']"], {}), "(DATA_DIR + 'processed_r...
from __future__ import print_function import binascii import json import os.path import sys key_path = sys.argv[1] key_path_basename = os.path.basename(key_path) key_h_path = os.path.join(sys.argv[2], key_path_basename + '.h') key_cc_path = os.path.join(sys.argv[2], key_path_basename + '.cc') with open(key_path, 'r'...
[ "sys.exit", "json.load", "binascii.unhexlify" ]
[((338, 350), 'json.load', 'json.load', (['f'], {}), '(f)\n', (347, 350), False, 'import json\n'), ((413, 443), 'binascii.unhexlify', 'binascii.unhexlify', (["obj['key']"], {}), "(obj['key'])\n", (431, 443), False, 'import binascii\n'), ((536, 547), 'sys.exit', 'sys.exit', (['(1)'], {}), '(1)\n', (544, 547), False, 'im...
import os import time import tqdm import cv2 import h5py from bspt_2d import * from ops import * class IMSEG(object): def __init__( self, sess, phase, sample_vox_size, is_training=False, ef_dim=32, gf_dim=64, p_dim=256, dataset_name="defaul...
[ "cv2.line", "h5py.File", "os.makedirs", "os.path.basename", "re.finditer", "os.path.exists", "time.time", "os.path.join" ]
[((996, 1026), 'os.path.exists', 'os.path.exists', (['data_hdf5_name'], {}), '(data_hdf5_name)\n', (1010, 1026), False, 'import os\n'), ((10035, 10046), 'time.time', 'time.time', ([], {}), '()\n', (10044, 10046), False, 'import time\n'), ((18985, 19051), 'os.makedirs', 'os.makedirs', (["(config.sample_dir + '/mse_predi...
# Harris Algorithm for corner detection and features extracting # R = λ1.λ2 − k(λ1 + λ2)^2 import cv2 as cv import numpy as np if __name__ == "__main__": img = cv.imread('../../assets/test10.jpg') img = cv.resize(img, None, fx=.5, fy=.5) cv.imshow("Original Image", img) # input img of corner har...
[ "cv2.dilate", "cv2.cvtColor", "cv2.waitKey", "numpy.float32", "cv2.destroyAllWindows", "cv2.imread", "cv2.imshow", "cv2.cornerHarris", "cv2.resize" ]
[((167, 203), 'cv2.imread', 'cv.imread', (['"""../../assets/test10.jpg"""'], {}), "('../../assets/test10.jpg')\n", (176, 203), True, 'import cv2 as cv\n'), ((214, 250), 'cv2.resize', 'cv.resize', (['img', 'None'], {'fx': '(0.5)', 'fy': '(0.5)'}), '(img, None, fx=0.5, fy=0.5)\n', (223, 250), True, 'import cv2 as cv\n'),...
#!/usr/bin/env python3 from __future__ import print_function import sys import math import numpy as np #ROS Imports import rospy from sensor_msgs.msg import Image, LaserScan from ackermann_msgs.msg import AckermannDriveStamped, AckermannDrive from visualization_msgs.msg import Marker #RQT reconfigure from dynamic_rec...
[ "rospy.Subscriber", "rospy.Time.now", "rospy.Publisher", "rospy.sleep", "numpy.argmin", "ackermann_msgs.msg.AckermannDriveStamped", "numpy.insert", "numpy.append", "numpy.sin", "numpy.ones", "rospy.init_node", "visualization_msgs.msg.Marker", "numpy.cos", "rospy.spin", "numpy.arctan", ...
[((8326, 8375), 'rospy.init_node', 'rospy.init_node', (['"""FollowGap_node"""'], {'anonymous': '(True)'}), "('FollowGap_node', anonymous=True)\n", (8341, 8375), False, 'import rospy\n'), ((8386, 8431), 'dynamic_reconfigure.server.Server', 'Server', (['gapparamsConfig', 'reconfigure_callback'], {}), '(gapparamsConfig, r...
"""Check the timezone in configuration file where latitude and longitude are given. Used by pre-commit.""" import argparse import json import sys from typing import List, Union, Dict def main(argv: Union[List[str], None] = None) -> int: argv = argv or sys.argv[1:] parser = argparse.ArgumentParser() parse...
[ "json.dump", "json.load", "argparse.ArgumentParser", "sys.exit" ]
[((285, 310), 'argparse.ArgumentParser', 'argparse.ArgumentParser', ([], {}), '()\n', (308, 310), False, 'import argparse\n'), ((1096, 1107), 'sys.exit', 'sys.exit', (['(0)'], {}), '(0)\n', (1104, 1107), False, 'import sys\n'), ((1303, 1315), 'json.load', 'json.load', (['f'], {}), '(f)\n', (1312, 1315), False, 'import ...
from django.db import models from apps.utils.models import TimestampedModel class Profile(TimestampedModel): user = models.OneToOneField('authentication.User', on_delete=models.CASCADE) bio = models.TextField(blank=True) avatar = models.URLField(blank=True) followers = models.ManyToManyField('profile...
[ "django.db.models.OneToOneField", "django.db.models.TextField", "django.db.models.ManyToManyField", "django.db.models.URLField" ]
[((123, 192), 'django.db.models.OneToOneField', 'models.OneToOneField', (['"""authentication.User"""'], {'on_delete': 'models.CASCADE'}), "('authentication.User', on_delete=models.CASCADE)\n", (143, 192), False, 'from django.db import models\n'), ((203, 231), 'django.db.models.TextField', 'models.TextField', ([], {'bla...
import os from django.conf import settings from django.db import models # Create your models here. class UserSettings(models.Model): id = models.AutoField(primary_key=True) author = models.CharField(max_length=100, default='admin') privilege = models.CharField(max_length=100, default='user'...
[ "django.db.models.CharField", "django.db.models.AutoField" ]
[((154, 188), 'django.db.models.AutoField', 'models.AutoField', ([], {'primary_key': '(True)'}), '(primary_key=True)\n', (170, 188), False, 'from django.db import models\n'), ((206, 255), 'django.db.models.CharField', 'models.CharField', ([], {'max_length': '(100)', 'default': '"""admin"""'}), "(max_length=100, default...
import json from typing import TYPE_CHECKING import flask.testing import pyquery class Response: """A Response wraps a response from a testing Client.""" def __init__(self, response): self.response = response @property def text(self): return self.response.data.decode(self.response.c...
[ "pyquery.PyQuery", "json.loads" ]
[((376, 402), 'pyquery.PyQuery', 'pyquery.PyQuery', (['self.text'], {}), '(self.text)\n', (391, 402), False, 'import pyquery\n'), ((453, 474), 'json.loads', 'json.loads', (['self.text'], {}), '(self.text)\n', (463, 474), False, 'import json\n')]
# https://github.com/NVlabs/latentfusion/blob/master/latentfusion/three/utils.py import torch from torch.nn import functional as F def farthest_points( data, n_clusters: int, dist_func=F.pairwise_distance, return_center_indexes=True, return_distances=False, verbose=False, init_center=True,...
[ "torch.mean", "torch.argmax", "torch.cat", "torch.full", "torch.max", "torch.arange", "torch.zeros", "torch.min" ]
[((1287, 1348), 'torch.full', 'torch.full', (['(data.shape[0],)'], {'fill_value': '(-1)', 'dtype': 'torch.long'}), '((data.shape[0],), fill_value=-1, dtype=torch.long)\n', (1297, 1348), False, 'import torch\n'), ((1363, 1404), 'torch.zeros', 'torch.zeros', (['n_clusters'], {'dtype': 'torch.long'}), '(n_clusters, dtype=...
from app.main import db def get_available_class_specializations(): conn = db.connect() cursor = conn.cursor() cursor.execute("select id, name, color from m_class") classes = {row[0]: {'name':row[1], 'color':row[2], 'specializations': {}} for row in cursor} cursor.execute("select id, class_id, name...
[ "app.main.db.connect" ]
[((79, 91), 'app.main.db.connect', 'db.connect', ([], {}), '()\n', (89, 91), False, 'from app.main import db\n'), ((551, 563), 'app.main.db.connect', 'db.connect', ([], {}), '()\n', (561, 563), False, 'from app.main import db\n'), ((813, 825), 'app.main.db.connect', 'db.connect', ([], {}), '()\n', (823, 825), False, 'f...
from kubernetes import client from projects.kubernetes.kube_config import load_kube_config def list_resource_version(group, version, namespace, plural): """ Determines the resource version the watcher should list from. Parameters ---------- group : str version : str namespace : str p...
[ "kubernetes.client.CustomObjectsApi", "projects.kubernetes.kube_config.load_kube_config" ]
[((377, 395), 'projects.kubernetes.kube_config.load_kube_config', 'load_kube_config', ([], {}), '()\n', (393, 395), False, 'from projects.kubernetes.kube_config import load_kube_config\n'), ((406, 431), 'kubernetes.client.CustomObjectsApi', 'client.CustomObjectsApi', ([], {}), '()\n', (429, 431), False, 'from kubernete...
from utils.upload_syntetic_data import upload_syntetic_data from __app__.crop.constants import SQL_CONNECTION_STRING, SQL_TEST_DBNAME from __app__.crop.db import drop_db def pytest_configure(config): """ Allows plugins and conftest files to perform initial configuration. This hook is called for every plu...
[ "__app__.crop.db.drop_db", "utils.upload_syntetic_data.upload_syntetic_data.main" ]
[((492, 534), 'utils.upload_syntetic_data.upload_syntetic_data.main', 'upload_syntetic_data.main', (['SQL_TEST_DBNAME'], {}), '(SQL_TEST_DBNAME)\n', (517, 534), False, 'from utils.upload_syntetic_data import upload_syntetic_data\n'), ((746, 793), '__app__.crop.db.drop_db', 'drop_db', (['SQL_CONNECTION_STRING', 'SQL_TES...
# -*- coding: utf-8 -*- from django.db import models, migrations class Migration(migrations.Migration): dependencies = [ ('core', '0001_initial'), ] operations = [ migrations.CreateModel( name='Competition', fields=[ ('id', models.AutoField(verbos...
[ "django.db.models.OneToOneField", "django.db.models.ManyToManyField", "django.db.models.ForeignKey", "django.db.models.CharField", "django.db.models.PositiveIntegerField", "django.db.models.SlugField", "django.db.models.AutoField", "django.db.models.BooleanField", "django.db.models.IntegerField", ...
[((7450, 7520), 'django.db.models.ForeignKey', 'models.ForeignKey', ([], {'to': '"""entries.SessionRound"""', 'on_delete': 'models.CASCADE'}), "(to='entries.SessionRound', on_delete=models.CASCADE)\n", (7467, 7520), False, 'from django.db import models, migrations\n'), ((7825, 7881), 'django.db.models.ManyToManyField',...
import os from pathlib import Path from typing import Optional, Sequence from unittest.mock import MagicMock import pytest import PIL.Image from sciencebeam_parser.utils.bounding_box import BoundingBox from sciencebeam_parser.document.layout_document import ( LOGGER, LayoutDocument, LayoutGraphic, Lay...
[ "unittest.mock.MagicMock", "sciencebeam_parser.document.layout_document.LayoutGraphic", "sciencebeam_parser.document.layout_document.LOGGER.debug", "sciencebeam_parser.document.layout_document.LayoutPageCoordinates", "sciencebeam_parser.document.layout_document.LayoutPageMeta", "os.path.basename", "pyte...
[((725, 770), 'sciencebeam_parser.utils.bounding_box.BoundingBox', 'BoundingBox', ([], {'x': '(10)', 'y': '(10)', 'width': '(10)', 'height': '(100)'}), '(x=10, y=10, width=10, height=100)\n', (736, 770), False, 'from sciencebeam_parser.utils.bounding_box import BoundingBox\n'), ((774, 823), 'pytest.fixture', 'pytest.fi...
# Generated by Django 2.2.15 on 2020-08-27 21:35 from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ ('wagtailcore', '0045_assign_unlock_grouppagepermission'), ('funds', '0078_add_heading_block_to_form_fields_block'), ...
[ "django.db.models.CharField", "django.db.models.OneToOneField", "django.db.models.BooleanField", "django.db.models.AutoField" ]
[((459, 552), 'django.db.models.AutoField', 'models.AutoField', ([], {'auto_created': '(True)', 'primary_key': '(True)', 'serialize': '(False)', 'verbose_name': '"""ID"""'}), "(auto_created=True, primary_key=True, serialize=False,\n verbose_name='ID')\n", (475, 552), False, 'from django.db import migrations, models\...
# Generated by Django 2.0.1 on 2018-01-29 20:56 from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ ('ingredient', '0007_remove_ingredient_recipe'), ] operations = [ migrations.AlterField( model_na...
[ "django.db.models.ForeignKey" ]
[((392, 530), 'django.db.models.ForeignKey', 'models.ForeignKey', ([], {'null': '(True)', 'on_delete': 'django.db.models.deletion.CASCADE', 'related_name': '"""ingredients"""', 'to': '"""ingredient.IngredientGroup"""'}), "(null=True, on_delete=django.db.models.deletion.CASCADE,\n related_name='ingredients', to='ingr...
# import tensorflow as tf # # a = tf.get_variable("a", dtype=tf.int32, shape=[], initializer=tf.zeros_initializer()) # b = tf.get_variable("b", dtype=tf.float32,shape=[], initializer=tf.ones_initializer()) # # # f = tf.constant(6) # # # Definition of condition and body # def cond(a, b, f): # # # a = tf.Print(a,[a, ...
[ "tensorflow.random_uniform", "tensorflow.python.ops.tensor_array_ops.TensorArray", "tensorflow.global_variables_initializer", "tensorflow.add", "tensorflow.Session", "tensorflow.constant", "tensorflow.Variable", "tensorflow.Print", "numpy.array", "tensorflow.while_loop" ]
[((2001, 2111), 'tensorflow.python.ops.tensor_array_ops.TensorArray', 'tensor_array_ops.TensorArray', (['tf.int32'], {'size': '(1)', 'dynamic_size': '(True)', 'infer_shape': '(False)', 'element_shape': '[2, 2]'}), '(tf.int32, size=1, dynamic_size=True,\n infer_shape=False, element_shape=[2, 2])\n', (2029, 2111), Fal...
"""Dataset implementations to save data for Kedro Experiment Tracking""" __all__ = ["MetricsDataSet", "JSONDataSet"] from contextlib import suppress with suppress(ImportError): from kedro.extras.datasets.tracking.metrics_dataset import MetricsDataSet with suppress(ImportError): from kedro.extras.datasets.tr...
[ "contextlib.suppress" ]
[((158, 179), 'contextlib.suppress', 'suppress', (['ImportError'], {}), '(ImportError)\n', (166, 179), False, 'from contextlib import suppress\n'), ((264, 285), 'contextlib.suppress', 'suppress', (['ImportError'], {}), '(ImportError)\n', (272, 285), False, 'from contextlib import suppress\n')]
import os, logging, time from propertysupport import * from buildcommon import * from pathsets import * defineOutputDirProperty('OUTPUT_DIR', None) from targets.writefile import * from targets.copy import * WriteFile('${OUTPUT_DIR}/src-file.txt', 'Hello') WriteFile('${OUTPUT_DIR}/bar.txt', 'Hello') Cop...
[ "time.sleep" ]
[((561, 574), 'time.sleep', 'time.sleep', (['(3)'], {}), '(3)\n', (571, 574), False, 'import os, logging, time\n')]
# -*- coding: utf-8 -*- # Generated by Django 1.10.8 on 2018-01-18 10:00 from __future__ import unicode_literals import bluebottle.utils.fields from decimal import Decimal from django.db import migrations, models import django.db.models.deletion import djmoney.models.fields class Migration(migrations.Migration): ...
[ "django.db.models.ForeignKey", "decimal.Decimal", "django.db.models.CharField", "django.db.models.AutoField" ]
[((1557, 1669), 'django.db.models.ForeignKey', 'models.ForeignKey', ([], {'on_delete': 'django.db.models.deletion.CASCADE', 'related_name': '"""extra"""', 'to': '"""projects.Project"""'}), "(on_delete=django.db.models.deletion.CASCADE, related_name\n ='extra', to='projects.Project')\n", (1574, 1669), False, 'from dj...
import lz4.stream import pytest import sys _1KB = 1024 _1MB = _1KB * 1024 _1GB = _1MB * 1024 def compress(x, c_kwargs): c = [] with lz4.stream.LZ4StreamCompressor(**c_kwargs) as proc: for start in range(0, len(x), c_kwargs['buffer_size']): chunk = x[start:start + c_kwargs['buffer_size']]...
[ "pytest.importorskip", "pytest.skip" ]
[((1782, 1816), 'pytest.importorskip', 'pytest.importorskip', (['"""tracemalloc"""'], {}), "('tracemalloc')\n", (1801, 1816), False, 'import pytest\n'), ((1713, 1762), 'pytest.skip', 'pytest.skip', (['"""Py_ssize_t too small for this test"""'], {}), "('Py_ssize_t too small for this test')\n", (1724, 1762), False, 'impo...
import unittest import numpy as np import scipy.linalg as la from parla.drivers.interpolative import OSID1, OSID2, TSID1 from parla.comps.sketchers.aware import RS1 import parla.comps.sketchers.oblivious as oblivious import parla.utils.linalg_wrappers as ulaw import parla.tests.matmakers as matmakers from parla.tests.t...
[ "parla.drivers.interpolative.TSID1", "parla.comps.sketchers.oblivious.SkOpGA", "parla.tests.test_drivers.test_lowrank.test_osid.reference_osid", "parla.tests.matmakers.rand_low_rank", "numpy.random.default_rng", "scipy.linalg.norm", "parla.comps.sketchers.aware.RS1", "numpy.eye", "parla.drivers.inte...
[((450, 477), 'numpy.random.default_rng', 'np.random.default_rng', (['seed'], {}), '(seed)\n', (471, 477), True, 'import numpy as np\n'), ((486, 526), 'parla.tests.matmakers.rand_low_rank', 'matmakers.rand_low_rank', (['m', 'n', 'rank', 'rng'], {}), '(m, n, rank, rng)\n', (509, 526), True, 'import parla.tests.matmakers...
import os import pytest from _pytest.config import Config from _pytest.fixtures import Parser, FixtureRequest from database.orm.client import ORMClient def pytest_addoption(parser: Parser) -> None: parser.addoption('--username', default="root") parser.addoption('--password', default="<PASSWORD>") parser...
[ "database.orm.client.ORMClient", "pytest.fixture", "os.path.join" ]
[((712, 743), 'pytest.fixture', 'pytest.fixture', ([], {'scope': '"""session"""'}), "(scope='session')\n", (726, 743), False, 'import pytest\n'), ((832, 863), 'pytest.fixture', 'pytest.fixture', ([], {'scope': '"""session"""'}), "(scope='session')\n", (846, 863), False, 'import pytest\n'), ((1223, 1254), 'pytest.fixtur...
# Generated by Django 2.0 on 2017-12-29 15:01 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('bot', '0006_auto_20171229_2354'), ] operations = [ migrations.AlterField( model_name='user', name='authority', ...
[ "django.db.models.CharField" ]
[((331, 445), 'django.db.models.CharField', 'models.CharField', ([], {'choices': "[('Master', 'Master'), ('Editor', 'Editor'), ('Watcher', 'Watcher')]", 'max_length': '(16)'}), "(choices=[('Master', 'Master'), ('Editor', 'Editor'), (\n 'Watcher', 'Watcher')], max_length=16)\n", (347, 445), False, 'from django.db imp...
""" 市场代码,上海是0, 深圳是1。判断深圳的办法是看代码0或者3开头。 深圳用的是re模块进行分析,上海用的是XPATH,最终存储到ticker_list & ticker_detail ticker_list 是基础,从网页上爬下来的list。 当replaceFlag(现金替代)True是允许现金替代,False是必须,False也就是意味着reportAmount需要设置为0. essential: config.json geckodriver.exe run: poetry run python cash.py build for exe-onefile: poetry run pyinstaller cas...
[ "json.load", "re.split", "json.loads", "selenium.webdriver.Firefox", "time.sleep", "pendulum.now", "selenium.webdriver.firefox.options.Options", "selenium.webdriver.support.ui.WebDriverWait" ]
[((3663, 3693), 're.split', 're.split', (['"""市场\n\\\\s*"""', 'raw_list'], {}), "('市场\\n\\\\s*', raw_list)\n", (3671, 3693), False, 'import re\n'), ((6965, 6974), 'selenium.webdriver.firefox.options.Options', 'Options', ([], {}), '()\n', (6972, 6974), False, 'from selenium.webdriver.firefox.options import Options\n'), ...
from math import radians, cos, sin, asin, sqrt def distance(lat1, long1, lat2, long2): """ Calculate the great circle distance in meters between two points on Earth (specified in decimal degrees.) Taken on May 1st 2013 from http://stackoverflow.com/a/4913653 """ # Convert decimal degrees to ra...
[ "math.sqrt", "math.cos", "math.sin" ]
[((486, 499), 'math.sin', 'sin', (['(dlat / 2)'], {}), '(dlat / 2)\n', (489, 499), False, 'from math import radians, cos, sin, asin, sqrt\n'), ((569, 576), 'math.sqrt', 'sqrt', (['a'], {}), '(a)\n', (573, 576), False, 'from math import radians, cos, sin, asin, sqrt\n'), ((507, 517), 'math.cos', 'cos', (['rlat1'], {}), ...
# Copyright (c) 2022 NVIDIA CORPORATION. All rights reserved. # NVIDIA CORPORATION and its licensors retain all intellectual property # and proprietary rights in and to this software, related documentation # and any modifications thereto. Any use, reproduction, disclosure or # distribution of this software and relate...
[ "xml.etree.ElementTree.parse", "warp.transform_inverse", "warp.transform_identity", "warp.transform_multiply", "numpy.array", "warp.quat_from_matrix", "os.path.splitext", "numpy.fromstring" ]
[((1012, 1030), 'xml.etree.ElementTree.parse', 'ET.parse', (['filename'], {}), '(filename)\n', (1020, 1030), True, 'import xml.etree.ElementTree as ET\n'), ((6674, 6692), 'xml.etree.ElementTree.parse', 'ET.parse', (['filename'], {}), '(filename)\n', (6682, 6692), True, 'import xml.etree.ElementTree as ET\n'), ((1951, 1...
#!/usr/bin/env python3 import argparse import enum import logging import os import platform import sys import time from typing import Any, Callable, Dict, List, Tuple logging.basicConfig(format='%(asctime)s %(levelname)s: %(message)s', level=logging.INFO) sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirna...
[ "logging.exception", "argparse.ArgumentParser", "gpiozero.Button", "logging.basicConfig", "calchas.recorder.Recorder", "os.path.realpath", "time.sleep", "logging.info", "platform.system", "calchas.trip.TripManager.new" ]
[((169, 262), 'logging.basicConfig', 'logging.basicConfig', ([], {'format': '"""%(asctime)s %(levelname)s: %(message)s"""', 'level': 'logging.INFO'}), "(format='%(asctime)s %(levelname)s: %(message)s', level=\n logging.INFO)\n", (188, 262), False, 'import logging\n'), ((1819, 1844), 'argparse.ArgumentParser', 'argpa...
# Copyright 2021 Google LLC # # 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, s...
[ "logging.error", "lib.record.deserialize_record", "logging.debug", "base64.b64decode" ]
[((929, 951), 'base64.b64decode', 'base64.b64decode', (['data'], {}), '(data)\n', (945, 951), False, 'import base64\n'), ((963, 990), 'lib.record.deserialize_record', 'deserialize_record', (['message'], {}), '(message)\n', (981, 990), False, 'from lib.record import deserialize_record\n'), ((1602, 1627), 'base64.b64deco...
import m5 from m5.objects import Cache from m5.objects import StridePrefetcher from m5.objects import TaggedPrefetcher from m5.objects import System from m5.objects import LRURP from m5.objects import RandomRP m5.util.addToPath('../') from common import ObjectList class CustStridePref(StridePrefetcher): def __init...
[ "common.ObjectList.rp_list.get", "m5.objects.LRURP", "m5.objects.RandomRP", "m5.util.addToPath" ]
[((211, 235), 'm5.util.addToPath', 'm5.util.addToPath', (['"""../"""'], {}), "('../')\n", (228, 235), False, 'import m5\n'), ((1210, 1217), 'm5.objects.LRURP', 'LRURP', ([], {}), '()\n', (1215, 1217), False, 'from m5.objects import LRURP\n'), ((2189, 2199), 'm5.objects.RandomRP', 'RandomRP', ([], {}), '()\n', (2197, 21...
from ipCorePackager.helpers import mkSpiElm, spi_ns_prefix class Type(): __slots__ = ['name', 'version', 'vendor', 'library'] #@classmethod # def fromElem(cls, elm): # self = cls() # for s in ['name', 'version', 'vendor', 'library']: # setattr(self, s, elm.attrib[spi_ns_prefix + ...
[ "ipCorePackager.helpers.mkSpiElm" ]
[((389, 406), 'ipCorePackager.helpers.mkSpiElm', 'mkSpiElm', (['elmName'], {}), '(elmName)\n', (397, 406), False, 'from ipCorePackager.helpers import mkSpiElm, spi_ns_prefix\n')]
"""Tests for the suite8080.asm80 module.""" from unittest import mock import pytest from suite8080 import asm80 @pytest.mark.parametrize('source_line, expected', [ # Label, mnemonic, operand1, operand2, comment # # Blank line ('', ('', '', '', '', '')), # All spaces (' ', ('', '', '', '',...
[ "suite8080.asm80.mov", "suite8080.asm80.immediate_operand", "suite8080.asm80.add_label", "suite8080.asm80.is_char_constant", "suite8080.asm80.parse_db_arguments", "unittest.mock.patch", "suite8080.asm80.write_symbol_table", "suite8080.asm80.is_quote_delimited", "suite8080.asm80.parse_db", "pytest....
[((118, 1242), 'pytest.mark.parametrize', 'pytest.mark.parametrize', (['"""source_line, expected"""', '[(\'\', (\'\', \'\', \'\', \'\', \'\')), (\' \', (\'\', \'\', \'\', \'\', \'\')), (\'\\t \\t \', (\n \'\', \'\', \'\', \'\', \'\')), (\' ; Comment only\', (\'\', \'\', \'\', \'\',\n \'Comment only\')), (\'l...
import cv2 cap = cv2.VideoCapture(0) ret, im = cap.read() gray = cv2.cvtColor(im, cv2.COLOR_BGR2GRAY) font = cv2.FONT_HERSHEY_SIMPLEX while True: ret, im = cap.read() gray = cv2.cvtColor(im, cv2.COLOR_BGR2GRAY) cv2.waitKey(25) score = cv2.Laplacian(gray, cv2.CV_64F).var() if score < 50: cv2...
[ "cv2.putText", "cv2.cvtColor", "cv2.waitKey", "cv2.imshow", "cv2.VideoCapture", "cv2.destroyAllWindows", "cv2.Laplacian" ]
[((18, 37), 'cv2.VideoCapture', 'cv2.VideoCapture', (['(0)'], {}), '(0)\n', (34, 37), False, 'import cv2\n'), ((66, 102), 'cv2.cvtColor', 'cv2.cvtColor', (['im', 'cv2.COLOR_BGR2GRAY'], {}), '(im, cv2.COLOR_BGR2GRAY)\n', (78, 102), False, 'import cv2\n'), ((494, 517), 'cv2.destroyAllWindows', 'cv2.destroyAllWindows', ([...
# -*- coding: utf-8 -*- # cython: language_level=3 # BSD 3-Clause License # # Copyright (c) 2020-2021, Faster Speeding # All rights reserved. # # Redistribution and use in source and binary forms, with or without # modification, are permitted provided that the following conditions are met: # # * Redistributions of sour...
[ "inspect.getdoc" ]
[((2334, 2366), 'inspect.getdoc', 'inspect.getdoc', (['command.callback'], {}), '(command.callback)\n', (2348, 2366), False, 'import inspect\n')]
import logging from datetime import datetime from pathlib import Path from typing import Optional from urllib.parse import urlparse import click import dateutil.tz from .misc import run_then_cancel, register_clean_shutdown, setup_logging from .protocol import ServerSession, DuplicateBackup from .scanner import Scanne...
[ "click.option", "logging.getLogger", "click.ClickException", "click.DateTime", "pathlib.Path", "click.group", "urllib.parse.urlparse" ]
[((332, 359), 'logging.getLogger', 'logging.getLogger', (['__name__'], {}), '(__name__)\n', (349, 359), False, 'import logging\n'), ((498, 511), 'click.group', 'click.group', ([], {}), '()\n', (509, 511), False, 'import click\n'), ((513, 565), 'click.option', 'click.option', (['"""--database"""'], {'envvar': '"""BACKUP...
#!/usr/bin/env python -O """ This is the test class for testing Glass capacitor module algorithms and models. """ # -*- coding: utf-8 -*- # # tests.unit.TestGlass.py is part of The RTK Project # # All rights reserved. import sys from os.path import dirname sys.path.insert(0, dirname(dirname(dirname(__file__)))...
[ "hardware.component.capacitor.fixed.Glass.Glass", "os.path.dirname", "nose.plugins.attrib.attr" ]
[((855, 880), 'nose.plugins.attrib.attr', 'attr', ([], {'all': '(True)', 'unit': '(True)'}), '(all=True, unit=True)\n', (859, 880), False, 'from nose.plugins.attrib import attr\n'), ((2313, 2338), 'nose.plugins.attrib.attr', 'attr', ([], {'all': '(True)', 'unit': '(True)'}), '(all=True, unit=True)\n', (2317, 2338), Fal...
# -*- coding: utf-8 -*- """ Created on Tue Dec 17 18:16:14 2019 @author: Kokkinos """ import numpy as np from base.bci_transducer import Transducer from base.data_setup import * from offline import Offline from Lib.warnings import warn class Simul(Offline): def __init__(self, mode = 'IMvsall', tim_window = ...
[ "offline.Offline.__init__", "scipy.io.loadmat", "numpy.isnan", "time.time", "numpy.where", "numpy.array", "numpy.delete" ]
[((6019, 6041), 'numpy.where', 'np.where', (['(LABELS == -1)'], {}), '(LABELS == -1)\n', (6027, 6041), True, 'import numpy as np\n'), ((6068, 6094), 'numpy.where', 'np.where', (['(tst_labels == -1)'], {}), '(tst_labels == -1)\n', (6076, 6094), True, 'import numpy as np\n'), ((6284, 6295), 'time.time', 'time.time', ([],...
""" <NAME> Python 3.8 """ import sys from time import sleep from modules.music_adt import MusicADT class Menu: """ Class for working with Research Program. """ def __init__(self): """ Initialize menu and program. """ print("Welcome to the Genre Research (Spotify)!") ...
[ "time.sleep", "sys.exit", "modules.music_adt.MusicADT" ]
[((991, 1036), 'modules.music_adt.MusicADT', 'MusicADT', (['start', 'last'], {'fullmode': 'self.fullmode'}), '(start, last, fullmode=self.fullmode)\n', (999, 1036), False, 'from modules.music_adt import MusicADT\n'), ((3603, 3611), 'time.sleep', 'sleep', (['(3)'], {}), '(3)\n', (3608, 3611), False, 'from time import sl...
# -*- coding: utf-8 -*- from __future__ import unicode_literals # 导入相关模块 import numpy as np import random from random import shuffle from scipy import io import scipy.io as iso from utils import * # 全局变量,名字库的文件名 DataSet = "name.txt" def preprocess(data_set=DataSet): """ 对名字库进行预处理. 参...
[ "numpy.random.seed", "random.shuffle", "numpy.zeros", "scipy.io.savemat", "numpy.dot" ]
[((1944, 1969), 'numpy.zeros', 'np.zeros', (['(vocab_size, 1)'], {}), '((vocab_size, 1))\n', (1952, 1969), True, 'import numpy as np\n'), ((2018, 2036), 'numpy.zeros', 'np.zeros', (['(n_a, 1)'], {}), '((n_a, 1))\n', (2026, 2036), True, 'import numpy as np\n'), ((2416, 2441), 'numpy.zeros', 'np.zeros', (['(vocab_size, 1...
import pandas as pd import seaborn as sns from matplotlib import pyplot as plt from sklearn.model_selection import cross_validate, RepeatedKFold def get_estimator_coefs_for_cv(est, cv_model): estimator_name = list(cv_model["estimator"][0].named_steps.keys())[-1] try: estimator_coefs = est.named_steps...
[ "matplotlib.pyplot.title", "matplotlib.pyplot.axvline", "matplotlib.pyplot.show", "matplotlib.pyplot.figure", "seaborn.boxplot", "matplotlib.pyplot.subplots_adjust", "matplotlib.pyplot.xlabel", "seaborn.stripplot", "sklearn.model_selection.RepeatedKFold" ]
[((1478, 1504), 'matplotlib.pyplot.figure', 'plt.figure', ([], {'figsize': '(9, 7)'}), '(figsize=(9, 7))\n', (1488, 1504), True, 'from matplotlib import pyplot as plt\n'), ((1513, 1572), 'seaborn.stripplot', 'sns.stripplot', ([], {'data': 'coefs', 'orient': '"""h"""', 'color': '"""k"""', 'alpha': '(0.5)'}), "(data=coef...
import paho.mqtt.client as mqtt import configparser import logging import json import paho.mqtt.client as mqtt class Messaging: def __init__(self, config, subscription = None, on_message = None, clientId = None): global on_connect self.config = config if (clientId): self.clien...
[ "paho.mqtt.client.Client" ]
[((324, 337), 'paho.mqtt.client.Client', 'mqtt.Client', ([], {}), '()\n', (335, 337), True, 'import paho.mqtt.client as mqtt\n'), ((378, 399), 'paho.mqtt.client.Client', 'mqtt.Client', (['clientId'], {}), '(clientId)\n', (389, 399), True, 'import paho.mqtt.client as mqtt\n')]
import numpy as np import gimpact as gi # util functions def gen_cdmesh_vvnf(vertices, vertex_normals, faces): """ generate cdmesh given vertices, _, and faces :return: gimpact.TriMesh (require gimpact to be installed) author: weiwei date: 20210118 """ return gi.TriMesh(vertices, faces.flat...
[ "modeling.collision_model.CollisionModel", "modeling.geometric_model.gen_sphere", "gimpact.trimesh_trimesh_collision", "numpy.array", "visualization.panda.world.World", "os.path.join" ]
[((678, 718), 'gimpact.trimesh_trimesh_collision', 'gi.trimesh_trimesh_collision', (['obj0', 'obj1'], {}), '(obj0, obj1)\n', (706, 718), True, 'import gimpact as gi\n'), ((892, 911), 'numpy.array', 'np.array', (['[0, 0, 1]'], {}), '([0, 0, 1])\n', (900, 911), True, 'import numpy as np\n'), ((3369, 3427), 'visualization...
#!/usr/bin/env python3 '''This script is assumed to run from the project root''' import subprocess as sp import itertools as it import os.path as op import os import sys import collections as col import json from deepmerge import always_merger from pathlib import Path from util import * CONFIG_NAMES = [op.splitext(op....
[ "os.makedirs", "json.loads", "os.path.basename", "collections.defaultdict", "itertools.groupby", "os.path.join", "os.chdir" ]
[((525, 567), 'os.path.join', 'op.join', (['NATIVE_FILES_DIR', "(config + '.txt')"], {}), "(NATIVE_FILES_DIR, config + '.txt')\n", (532, 567), True, 'import os.path as op\n'), ((1162, 1194), 'collections.defaultdict', 'col.defaultdict', (['rec_defaultdict'], {}), '(rec_defaultdict)\n', (1177, 1194), True, 'import colle...
import pandas as pd import numpy as np import re import nltk import plotly.express as px from nltk.corpus import stopwords from nltk.tokenize import word_tokenize from wordcloud import WordCloud import matplotlib.pyplot as plt from sklearn.feature_extraction.text import CountVectorizer df=pd.read_csv('tweets.csv')...
[ "sklearn.feature_extraction.text.CountVectorizer", "matplotlib.pyplot.show", "nltk.corpus.stopwords.extend", "nltk.tokenize.word_tokenize", "pandas.read_csv", "matplotlib.pyplot.imshow", "wordcloud.WordCloud", "matplotlib.pyplot.update_layout", "matplotlib.pyplot.axis", "plotly.express.bar", "ma...
[((295, 320), 'pandas.read_csv', 'pd.read_csv', (['"""tweets.csv"""'], {}), "('tweets.csv')\n", (306, 320), True, 'import pandas as pd\n'), ((1523, 1565), 'matplotlib.pyplot.figure', 'plt.figure', ([], {'figsize': '(8, 8)', 'facecolor': 'None'}), '(figsize=(8, 8), facecolor=None)\n', (1533, 1565), True, 'import matplot...
""" """ from .base_model import Entity, column_info import uuid class Environment(Entity): """ Represents an enclosure / environment. More specifically, represents a singular deployment of `EnvironmentNode`. """ def __init__(self, *args, **kwargs): Entity.__init__(self, *args, **kwar...
[ "uuid.UUID" ]
[((613, 627), 'uuid.UUID', 'uuid.UUID', (['val'], {}), '(val)\n', (622, 627), False, 'import uuid\n')]