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# -*- coding: utf-8 -*- # landportal-data-access-api # Copyright (c)2014, WESO, Web Semantics Oviedo. # Written by <NAME>. # This file is part of landportal-data-access-api. # # landportal-data-access-api is free software: you can redistribute it and/or modify # it under the terms of the GNU General Public License as...
[ "flask.app.Flask", "flask.ext.track_usage.storage.sql.SQLStorage", "flask_sqlalchemy.SQLAlchemy", "flask.ext.cache.Cache", "flask.ext.track_usage.TrackUsage" ]
[((1261, 1276), 'flask.app.Flask', 'Flask', (['__name__'], {}), '(__name__)\n', (1266, 1276), False, 'from flask.app import Flask\n'), ((1462, 1561), 'flask.ext.cache.Cache', 'Cache', (['app'], {'config': "{'CACHE_TYPE': 'memcached', 'CACHE_MEMCACHED_SERVERS': ['localhost:11211']}"}), "(app, config={'CACHE_TYPE': 'memc...
#!/usr/bin/python # -*- encoding: utf-8 -*- import torch import torch.nn as nn class LabelSmoothSoftmaxCEV1(nn.Module): ''' This is the autograd version, you can also try the LabelSmoothSoftmaxCEV2 that uses derived gradients ''' def __init__(self, lb_smooth=0.1, reduction='mean', ignore_index=-10...
[ "torchvision.models.resnet18", "torch.log_softmax", "torch.randint", "numpy.random.seed", "torch.nn.LogSoftmax", "torch.manual_seed", "torch.randn", "torch.softmax", "torch.abs", "random.seed", "torch.empty_like", "torch.no_grad", "torch.sum" ]
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# Copyright 2022 Pants project contributors (see CONTRIBUTORS.md). # Licensed under the Apache License, Version 2.0 (see LICENSE). from __future__ import annotations import json import logging import os import shlex import sys import textwrap from typing import Mapping from pants.base.build_root import BuildRoot from...
[ "pants.engine.internals.session.SessionValues", "pants.base.build_root.BuildRoot", "sys.stdout.fileno", "logging.getLogger", "json.dumps", "pants.bsp.protocol.BSPConnection", "shlex.quote", "pants.bsp.context.BSPContext", "sys.stdin.fileno", "pants.util.strutil.softwrap", "pants.util.docutil.bin...
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# coding=utf-8 # Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor. # # 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/lice...
[ "datasets.Value", "datasets.features.ClassLabel", "datasets.SplitGenerator", "json.loads" ]
[((3228, 3330), 'datasets.SplitGenerator', 'datasets.SplitGenerator', ([], {'name': 'datasets.Split.TRAIN', 'gen_kwargs': "{'filepaths': downloaded_filepaths}"}), "(name=datasets.Split.TRAIN, gen_kwargs={'filepaths':\n downloaded_filepaths})\n", (3251, 3330), False, 'import datasets\n'), ((3672, 3697), 'json.loads',...
from frappe.custom.doctype.custom_field.custom_field import create_custom_fields import frappe from frappe import _ @frappe.whitelist() def uom_list(item): uom_list=frappe.db.get_list('UOM Conversion Detail',{"parent":item},'uom') new_uoms = [] for uom in uom_list: new_uoms.append(uom['uom']) r...
[ "frappe.db.get_list", "frappe.whitelist", "frappe.throw", "frappe.get_roles", "frappe._" ]
[((118, 136), 'frappe.whitelist', 'frappe.whitelist', ([], {}), '()\n', (134, 136), False, 'import frappe\n'), ((170, 238), 'frappe.db.get_list', 'frappe.db.get_list', (['"""UOM Conversion Detail"""', "{'parent': item}", '"""uom"""'], {}), "('UOM Conversion Detail', {'parent': item}, 'uom')\n", (188, 238), False, 'impo...
from main import ma from models.Word import Word from marshmallow.validate import Length class WordSchema(ma.SQLAlchemyAutoSchema): class Meta: model = Word word = ma.String(required=True, validate=Length(min=3)) definition = ma.String(required=True, validate=Length(min=5)) pronunciation = ma...
[ "marshmallow.validate.Length" ]
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import json import logging class Config(object): def __init__(self): self.logger = logging.getLogger('CONFIG') def read(self): with open("config.json") as file: data = json.load(file) file.close() self.logger.info("Success on reading configuration file.") r...
[ "json.load", "logging.getLogger" ]
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from dateutil.parser import parse class Car: def __init__(self, brand, name, price, year, damage, last_seen, image, id=None): self.image = image self.last_seen = parse(last_seen) self.damage = damage self.year = year self.price = price self.name = name self.b...
[ "dateutil.parser.parse" ]
[((183, 199), 'dateutil.parser.parse', 'parse', (['last_seen'], {}), '(last_seen)\n', (188, 199), False, 'from dateutil.parser import parse\n')]
import scrapy import re from scrapy.loader import ItemLoader from machete.items import VersionItem class versionSpider(scrapy.Spider): name = 'versioninspector' custom_settings = { 'USER_AGENT': 'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Ubuntu Chromium/71.0.3578.80 Chrome/...
[ "machete.items.VersionItem" ]
[((584, 597), 'machete.items.VersionItem', 'VersionItem', ([], {}), '()\n', (595, 597), False, 'from machete.items import VersionItem\n')]
# -*- coding: utf-8 -*- # BioSTEAM: The Biorefinery Simulation and Techno-Economic Analysis Modules # Copyright (C) 2020-2021, <NAME> <<EMAIL>> # # This module is under the UIUC open-source license. See # github.com/BioSTEAMDevelopmentGroup/biosteam/blob/master/LICENSE.txt # for license details. """ """ import numpy ...
[ "thermosteam.ThermalCondition", "thermosteam.functional.V_to_rho", "thermosteam.functional.mu_to_nu", "numpy.asarray", "numpy.isfinite", "thermosteam.settings.get_impact_indicator_units", "chemicals.elements.array_to_atoms", "thermosteam.functional.Pr", "thermosteam.Stream", "numpy.dot", "thermo...
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import mujoco_py from pathlib import Path from mushroom_rl.utils import spaces from mushroom_rl.environments.mujoco import MuJoCo, ObservationType from mushroom_rl.utils.running_stats import * from ._external_simulation import NoExternalSimulation, MuscleSimulation from .reward_goals import CompleteTrajectoryReward, ...
[ "mujoco_py.MjViewer", "pathlib.Path", "mujoco_py.MjSimState", "mushroom_rl.environments.mujoco_envs.humanoid_gait.utils.quat_to_euler" ]
[((11287, 11376), 'mujoco_py.MjSimState', 'mujoco_py.MjSimState', (['old_state.time', 'qpos', 'qvel', 'old_state.act', 'old_state.udd_state'], {}), '(old_state.time, qpos, qvel, old_state.act, old_state.\n udd_state)\n', (11307, 11376), False, 'import mujoco_py\n'), ((11549, 11574), 'mushroom_rl.environments.mujoco_...
#!/usr/bin/env python # -*- coding: utf-8 -*- """ test_shellcraft. Tests for `shellcraft` module. """ from __future__ import unicode_literals import os import pytest from click.testing import CliRunner import pkg_resources from shellcraft.cli import get_game, cli from shellcraft.shellcraft import Game @pytest.fix...
[ "pkg_resources.get_distribution", "shellcraft.cli.get_game", "shellcraft.shellcraft.Game.load", "os.path.abspath", "pytest.fixture", "click.testing.CliRunner" ]
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""" Module for classes to prepare validation dataset from MedInfo dataset. Data format will be {key: {'question': question, 'summary':, summ, 'articles': articles} ...} Additionally, format for question driven summarization. For example: python prepare_validation_data.py -t --add-q """ import json import argparse im...
[ "json.dump", "json.load", "argparse.ArgumentParser", "spacy.load", "re.sub" ]
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import wheel from src import roulette_cancellation from src import bet from src import table from src import wheel from src import roulette_game import unittest class TestCancellation(unittest.TestCase): def setUp(self): self.wheel = wheel.Wheel() self.table = table.Table(minimum=10, maximum=1000) ...
[ "unittest.main", "src.table.Table", "src.roulette_game.RouletteGame", "src.wheel.Wheel", "src.roulette_cancellation.RouletteCancellation" ]
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# AUTHOR: <NAME> # 13-02-2022 # calculate the gini coefficient give the retrievability file import os import argparse from collections import defaultdict def check_file_exists(filename): if filename and not os.path.exists(filename): print("{0} Not Found".format(filename)) quit(1) def calculate_g...
[ "os.path.exists", "argparse.ArgumentParser" ]
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from sklearn.ensemble import RandomForestRegressor from sklearn.ensemble import RandomForestClassifier from sklearn.utils import check_array import numpy as np from ..utils.tools import Solver class MissForest(Solver): def __init__( self, n_estimators=300, max_depth=None, ...
[ "sklearn.ensemble.RandomForestClassifier", "numpy.sum", "sklearn.utils.check_array", "numpy.asarray", "sklearn.ensemble.RandomForestRegressor" ]
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import os from paranestamol.utils import Legend, cleanupFileRoot if os.getenv('QT_API') != "PySide2": raise RuntimeError(f'TL;DR \n\n`QT_API=PySide2 python3 -m paranestamol `\n\n The moron who\ designed `matplotlib_backend_qtquick` hard-coded a preference for\ pyqt5 for their backend, despite supporting PySide2 ...
[ "os.getenv" ]
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#------------------------------------------------------------------------------+ # # <NAME> # Create a three color triangle # 2017-DEC # #------------------------------------------------------------------------------+ #--- IMPORT DEPENDENCIES ------------------------------------------------------+ from __future...
[ "math.radians" ]
[((1688, 1699), 'math.radians', 'radians', (['(60)'], {}), '(60)\n', (1695, 1699), False, 'from math import radians\n')]
import yfinance import discord from discord.ext import commands import threading import asyncio import traceback import requests import time class Asset(object): def __init__(self, symbol=None, name=None, price=None, url=None): self.symbol = symbol self.name = name self.price = price ...
[ "traceback.print_exc", "discord.Embed", "asyncio.sleep", "time.sleep", "threading.Lock", "asyncio.get_running_loop", "yfinance.Ticker", "requests.get", "discord.ext.commands.group", "threading.Semaphore" ]
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import numpy as np import time from nms.nums_py2 import py_cpu_nms # for cpu # from nms.gpu_nms import gpu_nms # for gpu np.random.seed( 1 ) # keep fixed num_rois = 6000 minxy = np.random.randint(50,145,size=(num_rois ,2)) maxxy = np.random.randint(150,200,size=(num_rois ,2)) score = 0.8*np.random.random_sample...
[ "numpy.random.seed", "numpy.random.random_sample", "nms.nums_py2.py_cpu_nms", "time.time", "numpy.random.randint", "numpy.concatenate" ]
[((127, 144), 'numpy.random.seed', 'np.random.seed', (['(1)'], {}), '(1)\n', (141, 144), True, 'import numpy as np\n'), ((186, 232), 'numpy.random.randint', 'np.random.randint', (['(50)', '(145)'], {'size': '(num_rois, 2)'}), '(50, 145, size=(num_rois, 2))\n', (203, 232), True, 'import numpy as np\n'), ((239, 286), 'nu...
def test_mqtt_broker_default_config(): from feeder.util.mqtt.broker import FeederBroker from feeder import settings broker = FeederBroker() assert broker.config["listeners"]["tcp-1"] == { "bind": f"0.0.0.0:{settings.mqtt_port}" } assert broker.config["listeners"]["tcp-ssl-1"] == { ...
[ "feeder.util.mqtt.broker.FeederBroker" ]
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import tensorflow as tf from network.Util import smart_shape RNNCell = tf.nn.rnn_cell.RNNCell LSTMStateTuple = tf.nn.rnn_cell.LSTMStateTuple def _conv2d(x, W, strides=None): if strides is None: strides = [1, 1] return tf.nn.conv2d(x, W, strides=[1] + strides + [1], padding="SAME") def dynamic_conv_rnn(cell,...
[ "tensorflow.nn.dynamic_rnn", "tensorflow.constant_initializer", "tensorflow.reshape", "tensorflow.concat", "tensorflow.stack", "tensorflow.get_variable", "tensorflow.shape", "tensorflow.nn.conv2d", "tensorflow.split", "tensorflow.sigmoid", "network.Util.smart_shape" ]
[((228, 291), 'tensorflow.nn.conv2d', 'tf.nn.conv2d', (['x', 'W'], {'strides': '([1] + strides + [1])', 'padding': '"""SAME"""'}), "(x, W, strides=[1] + strides + [1], padding='SAME')\n", (240, 291), True, 'import tensorflow as tf\n'), ((584, 603), 'network.Util.smart_shape', 'smart_shape', (['inputs'], {}), '(inputs)\...
import argparse import base64 import os import pickle from google_auth_oauthlib.flow import InstalledAppFlow SERVICE_SCOPES = { "drive": ["drive.appdata", "drive.file", "drive.install", "drive"], "apps-script": ["script.projects"], } def get_arguments(parser): parser.add_argument( "--credentials...
[ "argparse.ArgumentParser", "os.stat", "os.path.exists", "google_auth_oauthlib.flow.InstalledAppFlow.from_client_secrets_file", "pickle.dumps" ]
[((1119, 1184), 'argparse.ArgumentParser', 'argparse.ArgumentParser', ([], {'description': '"""Getting Google OAuth token"""'}), "(description='Getting Google OAuth token')\n", (1142, 1184), False, 'import argparse\n'), ((2040, 2118), 'google_auth_oauthlib.flow.InstalledAppFlow.from_client_secrets_file', 'InstalledAppF...
import apps.common.func.InitDjango from all_models.models import TbUser, TbAdminUserPermissionRelation from apps.common.func.WebFunc import * class UserService(object): @staticmethod def getUsers(): return TbUser.objects.all() @staticmethod def getUserByLoginname(loginname): return ...
[ "all_models.models.TbUser.objects.all", "all_models.models.TbUser.objects.filter" ]
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import numpy as np from PIL import Image import torch import torch.nn as nn from load_test_data import load_test_data from sklearn.metrics import confusion_matrix from model_result import model_result import matplotlib.pyplot as plt import seaborn as sn import pandas as pd import pickle import os import mat...
[ "os.mkdir", "torch.from_numpy", "torch.nn.ReLU", "matplotlib.pyplot.imshow", "torch.load", "torch.nn.Conv2d", "matplotlib.pyplot.close", "matplotlib.use", "torch.cuda.is_available", "torch.nn.Linear", "torch.nn.MaxPool2d", "matplotlib.pyplot.subplots", "torch.nn.Sigmoid" ]
[((2158, 2175), 'os.mkdir', 'os.mkdir', (['dirName'], {}), '(dirName)\n', (2166, 2175), False, 'import os\n'), ((2371, 2393), 'torch.load', 'torch.load', (['model_name'], {}), '(model_name)\n', (2381, 2393), False, 'import torch\n'), ((2955, 2977), 'torch.from_numpy', 'torch.from_numpy', (['data'], {}), '(data)\n', (29...
# -*- coding: utf-8 -*- """The CPIO path specification resolver helper implementation.""" from dfvfs.file_io import cpio_file_io from dfvfs.lib import definitions from dfvfs.resolver_helpers import manager from dfvfs.resolver_helpers import resolver_helper from dfvfs.vfs import cpio_file_system class CPIOResolverHel...
[ "dfvfs.file_io.cpio_file_io.CPIOFile", "dfvfs.vfs.cpio_file_system.CPIOFileSystem" ]
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import io import json from typing import Optional import pandas as pd from astro.constants import DEFAULT_CHUNK_SIZE from astro.constants import FileType as FileTypeConstants from astro.files.types.base import FileType class NDJSONFileType(FileType): """Concrete implementation to handle NDJSON file type""" ...
[ "json.loads" ]
[((1834, 1849), 'json.loads', 'json.loads', (['row'], {}), '(row)\n', (1844, 1849), False, 'import json\n')]
import datetime import json import re import os import requests import time import threading import pickle from django.core.mail import send_mail from django.db import connection from django.http import JsonResponse from django.shortcuts import render_to_response, render from django.core.cache import cache from ApiMa...
[ "django.core.mail.send_mail", "django.core.cache.cache.delete_pattern", "django.db.connection.close", "threading.Thread.__init__", "json.loads", "ApiManager.models.TaskInfo.objects.get", "ApiManager.utils.forms.get_validate_form_msg", "threading.Lock", "ApiManager.models.TaskInfo.objects.all", "da...
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from dagster import check from dagster.utils import single_item from .builtin_enum import BuiltinEnum from .config import ConfigType, List, Nullable from .wrapping import WrappingListType, WrappingNullableType class InputSchema: @property def schema_type(self): check.not_implemented( 'Mus...
[ "dagster.check.not_implemented", "dagster.utils.single_item", "dagster.check.type_param", "dagster.check.param_invariant" ]
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from django.conf.urls import url from django.urls import path,include from . import views from .feeds import LatestPostsFeed from .views import search, PostViewSet from rest_framework import routers from django.views.generic import TemplateView router = routers.DefaultRouter() router.register(r'api', PostViewSet) ...
[ "django.urls.path", "django.conf.urls.url", "rest_framework.routers.DefaultRouter", "django.urls.include" ]
[((257, 280), 'rest_framework.routers.DefaultRouter', 'routers.DefaultRouter', ([], {}), '()\n', (278, 280), False, 'from rest_framework import routers\n'), ((360, 407), 'django.urls.path', 'path', (['""""""', 'views.most_viewed'], {'name': '"""most_viewed"""'}), "('', views.most_viewed, name='most_viewed')\n", (364, 4...
import subprocess import os, signal, time def run_as_test(): proc = subprocess.Popen('python ./bot.py') time.sleep(10) if getattr(signal, 'SIGKILL', None): os.kill(proc.pid, signal.SIGKILL) else: os.kill(proc.pid, signal.SIGTERM) return True # def run_as_live(): # proc = subpro...
[ "os.kill", "subprocess.Popen", "time.sleep" ]
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import logging from typing import List, Iterable, Dict, Union, Any, Optional, Iterator, Tuple from presidio_analyzer import DictAnalyzerResult, RecognizerResult, AnalyzerEngine from presidio_analyzer.nlp_engine import NlpArtifacts logger = logging.getLogger("presidio-analyzer") class BatchAnalyzerEngine: """ ...
[ "presidio_analyzer.AnalyzerEngine", "logging.getLogger", "presidio_analyzer.DictAnalyzerResult" ]
[((242, 280), 'logging.getLogger', 'logging.getLogger', (['"""presidio-analyzer"""'], {}), "('presidio-analyzer')\n", (259, 280), False, 'import logging\n'), ((810, 826), 'presidio_analyzer.AnalyzerEngine', 'AnalyzerEngine', ([], {}), '()\n', (824, 826), False, 'from presidio_analyzer import DictAnalyzerResult, Recogni...
#coding=utf-8 #调色板 import cv2 import numpy as np img = np.zeros((300, 512, 3), np.uint8) cv2.namedWindow('image') def callback(x): pass #参数1:名称;参数2:作用窗口,参数3、4:最小值和最大值;参数5:值更改回调方法 cv2.createTrackbar('R', 'image', 0, 255, callback) cv2.createTrackbar('G', 'image', 0, 255, callback) cv2.createTrackbar('B', 'image...
[ "cv2.createTrackbar", "cv2.waitKey", "cv2.destroyAllWindows", "numpy.zeros", "cv2.getTrackbarPos", "cv2.imshow", "cv2.namedWindow" ]
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import os import sys # import inspect def main(): lib_directory = None # All Python Version that will be searched lib_major_version = 'lib_{}'.format(sys.version_info.major) lib_minor_version = '{}.{}'.format(lib_major_version, sys.version_info.minor) lib_micro_version = '{}.{}'.format(lib_minor_v...
[ "os.getcwd", "os.path.isdir", "os.walk", "os.access", "os.path.join", "os.listdir", "sys.exit" ]
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import os from irc_poker_data_set import IrcPokerData as ipd basedir = os.path.abspath(os.path.dirname(__file__)) irc_poker_data = ipd() irc_poker_data.open() from irc_poker_db import db_session, PlayerRanking def player_ranking(): if db_session.query(PlayerRanking).count() >= db_session.query(ipd.Player).cou...
[ "irc_poker_data_set.IrcPokerData.db_session.query", "irc_poker_db.db_session.add", "irc_poker_data_set.IrcPokerData", "irc_poker_db.db_session.commit", "os.path.dirname", "irc_poker_db.db_session.query", "irc_poker_db.PlayerRanking" ]
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import os, sys from importlib import import_module sys.path += [os.getcwd()] def get_params(params_file, import_path=""): """Extract the params object from a given Python file. :param str params_file: the Python file to get the params object from. :returns: the params object from the given Python file....
[ "os.getcwd", "importlib.import_module" ]
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from properties.models import AvailableLanguage from django.test import TestCase from django.core.exceptions import ObjectDoesNotExist class TestLanguage(TestCase): fixtures = ['properties_data.yaml'] def setUp(self): self.non_exist_lang = "never_exist_lang" self.lang_python = "Python" ...
[ "properties.models.AvailableLanguage.objects.get", "properties.models.AvailableLanguage.objects.all" ]
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# -*- coding: utf-8 -*- from .energydiagram import ED import matplotlib.pyplot as plt import re ADJUSTEDCOEFFICIENT=0.02 def GetFrontIndex(orbSign): # In: HOMO/LUMO/HOMO-1/LUMO+1 # Out: {'hoLu': 'HOMO', 'num': -1} for matchString in [r'HOMO(.*)', r'LUMO(.*)']: matchObj = re.match(matchString, orbSign) ...
[ "matplotlib.pyplot.close", "re.match", "matplotlib.pyplot.savefig" ]
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from os import getenv from pathlib import Path import dj_database_url BASE_DIR = Path(__file__).resolve().parent.parent SECRET_KEY = getenv("DJANGO_SECRET_KEY") DEBUG = getenv("DEBUG") == "true" ALLOWED_HOSTS = ["*"] AUTH_USER_MODEL = "users_app.CustomUser" INSTALLED_APPS = [ "django.contrib.admin", "d...
[ "pathlib.Path", "os.getenv", "dj_database_url.parse" ]
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################################################################################ # Licensed to the Apache Software Foundation (ASF) under one # or more contributor license agreements. See the NOTICE file # distributed with this work for additional information # regarding copyright ownership. The ASF licenses this...
[ "pyflink.table.EnvironmentSettings.in_batch_mode", "pyflink.common.Configuration", "pyflink.testing.test_case_utils.get_private_field", "pyflink.table.EnvironmentSettings.in_streaming_mode", "pyflink.table.EnvironmentSettings.from_configuration", "pyflink.table.EnvironmentSettings.new_instance", "pyflin...
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from typing import Tuple, Any from enum import Enum, IntFlag from datetime import datetime from collections import namedtuple from collections.abc import Callable GRC_TPS = 0x0000 # main return codes (identical to RC_SUP!!) GRC_SUP = 0x0000 # supervisor task (identical to RCBETA!!) GRC_ANG = 0x0100 # angle- and ...
[ "collections.namedtuple", "datetime.datetime" ]
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'''Code from python notebook by simoninithomas available at https://github.com/simoninithomas/Deep_reinforcement_learning_Course/blob/master/Q%20learning/Q%20Learning%20with%20FrozenLake.ipynb ''' import numpy as np import gym import random env = gym.make("FrozenLake-v0") action_size = env.action_space.n state_siz...
[ "gym.make", "numpy.argmax", "random.uniform", "numpy.zeros", "numpy.max", "numpy.exp" ]
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#!/usr/bin/env python3 # # Play a game. # import raehutils import sys, os, argparse, logging class PlayPy(raehutils.RaehBaseClass): ERR_MATCH = 1 def __init__(self): retroarch_cores_dir = os.environ.get("HOME") + "/.config/retroarch/cores" games_dir = os.environ.get("HOME") + "/media/games-lo...
[ "raehutils.run_shell_detached", "raehutils.get_shell", "argparse.ArgumentParser", "os.environ.get" ]
[((2443, 2494), 'argparse.ArgumentParser', 'argparse.ArgumentParser', ([], {'description': '"""Play a game."""'}), "(description='Play a game.')\n", (2466, 2494), False, 'import sys, os, argparse, logging\n'), ((4154, 4195), 'raehutils.get_shell', 'raehutils.get_shell', (['cmd_switch_workspace'], {}), '(cmd_switch_work...
import tensorflow as tf from tensorflow.keras.regularizers import l2 from tensorflow.keras.layers import Layer, Dense, LayerNormalization, Dropout, Embedding, Input, PReLU from modules import * from tensorflow import keras from tensorflow.keras.models import Model # api functional model def get_sasrec(maxlen, item_fea...
[ "tensorflow.range", "tensorflow.reduce_sum", "tensorflow.not_equal", "tensorflow.keras.layers.Dropout", "tensorflow.keras.initializers.he_uniform", "tensorflow.keras.layers.LayerNormalization", "tensorflow.concat", "tensorflow.nn.sigmoid", "tensorflow.keras.models.Model", "tensorflow.cast", "ten...
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# -*- coding: utf-8 -*- # Copyright (c) 2020 Nekokatt # # 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 # to use, copy, modify, me...
[ "hikari.utilities.event_stream._generate_weak_listener.assert_not_called", "weakref.WeakMethod.assert_not_called", "unittest.TestCase", "tests.hikari.hikari_test_helpers.mock_class_namespace", "hikari.iterators.LazyIterator.filter.assert_called_once_with", "hikari.iterators.All", "tests.hikari.hikari_te...
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# coding=utf-8 # *** WARNING: this file was generated by the Pulumi SDK Generator. *** # *** Do not edit by hand unless you're certain you know what you are doing! *** import warnings import pulumi import pulumi.runtime from typing import Any, Mapping, Optional, Sequence, Union, overload from ... import _utilities fro...
[ "pulumi.get", "pulumi.getter", "pulumi.set" ]
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""" Cisco_IOS_XR_tunnel_nve_oper This module contains a collection of YANG definitions for Cisco IOS\-XR tunnel\-nve package operational data. This module contains definitions for the following management objects\: nve\: NVE operational data Copyright (c) 2013\-2016 by Cisco Systems, Inc. All rights reserved. ""...
[ "ydk.errors.YPYModelError", "ydk.types.YList" ]
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import os.path import numpy as np from nltk.corpus import stopwords from nltk.tokenize import word_tokenize from numpy import dot from numpy.linalg import norm class NotIntegerError(Exception): pass # 문서를 불러와 단어로 토큰화 후, 단어들을 word_list에 저장후 word_list 반환 def doc_tokenize(doc_name): with open(doc_name, 'rt') as...
[ "numpy.log", "numpy.linalg.norm", "nltk.corpus.stopwords.words", "numpy.dot", "nltk.tokenize.word_tokenize" ]
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# coding: utf-8 """ CloudEndure API documentation © 2017 CloudEndure All rights reserved # General Request authentication in CloudEndure's API is done using session cookies. A session cookie is returned upon successful execution of the \"login\" method. This value must then be provided within the request hea...
[ "six.iteritems" ]
[((9688, 9721), 'six.iteritems', 'six.iteritems', (['self.swagger_types'], {}), '(self.swagger_types)\n', (9701, 9721), False, 'import six\n')]
""" NCL_conwomap_2.py ================= This script illustrates the following concepts: - Drawing a simple filled contour plot - Selecting a different color map - Changing the size/shape of a contour plot See following URLs to see the reproduced NCL plot & script: - Original NCL script: https://www.ncl.uc...
[ "matplotlib.pyplot.show", "geocat.viz.util.set_titles_and_labels", "matplotlib.pyplot.axes", "geocat.datafiles.get", "matplotlib.pyplot.colorbar", "matplotlib.pyplot.figure", "geocat.viz.util.add_major_minor_ticks", "numpy.linspace", "cartopy.crs.PlateCarree" ]
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# -*- coding: gbk -*- path1 = u'K:\\选择删除\\' #所需修改文件夹所在路径 import os import zhconv for parent, dirnames, filenames in os.walk(path1): for filename in filenames: try: os.rename(os.path.join(parent, filename), os.path.join(parent, zhconv.convert(filename, 'zh-cn'))) #print(zhconv.convert...
[ "os.walk", "os.path.join", "os.listdir", "zhconv.convert" ]
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from itertools import count import time from ..core import np, auto_grad_logp, AUTOGRAD from ..parallel import parallel from ..progressbar import update_progress from ..state import State, func_var_names from ..model import init_model class Sampler(object): def __init__(self, logp, start, grad_lo...
[ "itertools.count", "time.time" ]
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import datetime from flask_restx import Namespace, Resource, fields, marshal from flask import request from . import model from .schedulerweb_util import get_db api = Namespace('Zones', title="Zone management") a_zone = api.model('Zone', { 'zone_id': fields.Integer(description="ID of zone"), 'name': fields...
[ "flask_restx.fields.Float", "flask_restx.fields.Boolean", "flask_restx.fields.Integer", "flask_restx.fields.DateTime", "flask_restx.Namespace", "flask_restx.fields.String", "datetime.timedelta", "datetime.datetime.now", "flask_restx.marshal" ]
[((170, 213), 'flask_restx.Namespace', 'Namespace', (['"""Zones"""'], {'title': '"""Zone management"""'}), "('Zones', title='Zone management')\n", (179, 213), False, 'from flask_restx import Namespace, Resource, fields, marshal\n'), ((260, 300), 'flask_restx.fields.Integer', 'fields.Integer', ([], {'description': '"""I...
import os import logging import glob import pathlib import argparse import multiprocessing as mp import cv2 #import matplotlib.pyplot as plt logging.basicConfig( format="%(asctime)s: %(levelname)s: %(message)s", level=logging.INFO ) def parse_arguments(): argparser = argparse.ArgumentParser(description=__doc...
[ "argparse.ArgumentParser", "logging.basicConfig", "os.makedirs", "cv2.imwrite", "cv2.imread", "pathlib.Path", "logging.info", "multiprocessing.Process", "os.path.join", "cv2.resize", "multiprocessing.cpu_count" ]
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import os, os.path as op import logging import numpy as np import cv2 import progressbar import ast import matplotlib.pyplot as plt import matplotlib.ticker as ticker import pprint import PIL from lib.backend import backendDb from lib.backend import backendMedia from lib.utils import util def add_parsers(subparsers)...
[ "pprint.pformat", "numpy.sum", "numpy.maximum", "numpy.argmax", "matplotlib.pyplot.clf", "numpy.isnan", "matplotlib.pyplot.figure", "lib.backend.backendDb.connect", "matplotlib.pyplot.gca", "numpy.diag", "numpy.bitwise_or", "matplotlib.pyplot.tight_layout", "os.path.join", "numpy.nanmean",...
[((4587, 4638), 'logging.info', 'logging.info', (['"""Total objects of interest: %d"""', 'n_gt'], {}), "('Total objects of interest: %d', n_gt)\n", (4599, 4638), False, 'import logging\n'), ((5041, 5054), 'numpy.cumsum', 'np.cumsum', (['fp'], {}), '(fp)\n', (5050, 5054), True, 'import numpy as np\n'), ((5064, 5077), 'n...
import tensorflow as tf """ Instruction to the code there can be found at: https://www.tensorflow.org/versions/r0.10/how_tos/using_gpu/index.html """ # Creates a graph. with tf.device('/cpu:0'): a = tf.constant([1.0, 2.0, 3.0, 4.0, 5.0, 6.0], shape=[2, 3], name='a') b = tf.constant([1.0, 2.0, 3.0, 4.0, 5.0, 6....
[ "tensorflow.matmul", "tensorflow.device", "tensorflow.constant", "tensorflow.ConfigProto" ]
[((175, 194), 'tensorflow.device', 'tf.device', (['"""/cpu:0"""'], {}), "('/cpu:0')\n", (184, 194), True, 'import tensorflow as tf\n'), ((204, 271), 'tensorflow.constant', 'tf.constant', (['[1.0, 2.0, 3.0, 4.0, 5.0, 6.0]'], {'shape': '[2, 3]', 'name': '"""a"""'}), "([1.0, 2.0, 3.0, 4.0, 5.0, 6.0], shape=[2, 3], name='a...
""" Low level tests for the InvenTree API """ from rest_framework import status from django.urls import reverse from InvenTree.api_tester import InvenTreeAPITestCase from users.models import RuleSet from base64 import b64encode class APITests(InvenTreeAPITestCase): """ Tests for the InvenTree API """ fi...
[ "django.urls.reverse", "base64.b64encode" ]
[((898, 918), 'django.urls.reverse', 'reverse', (['"""api-token"""'], {}), "('api-token')\n", (905, 918), False, 'from django.urls import reverse\n'), ((1263, 1283), 'django.urls.reverse', 'reverse', (['"""api-token"""'], {}), "('api-token')\n", (1270, 1283), False, 'from django.urls import reverse\n'), ((1678, 1707), ...
# # # # # date: 2019-08-20 # author: <NAME> # python3.6 # Copyright (C) 2019 <NAME> <EMAIL> # #import .deep_prior_inpainter as dp #import .contextual_attention_gan as ca #import .nearest_neighbours_inpainter as nn from inpainters import ( deep_prior_inpainter as dp , contextual_attention_gan as ...
[ "inpainters.deep_prior_inpainter.DeepPrior", "inpainters.nearest_neighbours_inpainter.NearestNeighbours", "inpainters.contextual_attention_gan.ContextualAttention" ]
[((916, 984), 'inpainters.deep_prior_inpainter.DeepPrior', 'dp.DeepPrior', (['(Npix, Npix, 4)'], {'verbose': 'args.debug', 'meshgrid': 'meshgrid'}), '((Npix, Npix, 4), verbose=args.debug, meshgrid=meshgrid)\n', (928, 984), True, 'from inpainters import deep_prior_inpainter as dp, contextual_attention_gan as ca, nearest...
from django.test import TestCase from django.contrib.auth import get_user_model from django.urls import reverse from .models import Snack # Create your tests here. class SnacksTests(TestCase): def setUp(self): self.user = get_user_model().objects.create_user( username = 'samer', email = '<EMA...
[ "django.urls.reverse", "django.contrib.auth.get_user_model" ]
[((876, 897), 'django.urls.reverse', 'reverse', (['"""snack_list"""'], {}), "('snack_list')\n", (883, 897), False, 'from django.urls import reverse\n'), ((1059, 1093), 'django.urls.reverse', 'reverse', (['"""snack_details"""'], {'args': '"""1"""'}), "('snack_details', args='1')\n", (1066, 1093), False, 'from django.url...
import factory from sarafan.events import Publication from .utils import generate_rnd_hash, generate_rnd_address class PublicationFactory(factory.Factory): class Meta: model = Publication reply_to = '0x' magnet = factory.LazyFunction(lambda: generate_rnd_hash()[2:]) source = factory.LazyFunc...
[ "factory.LazyFunction" ]
[((304, 346), 'factory.LazyFunction', 'factory.LazyFunction', (['generate_rnd_address'], {}), '(generate_rnd_address)\n', (324, 346), False, 'import factory\n')]
#!/usr/bin/env python # Tests for `xclim` package, command line interface from __future__ import annotations import numpy as np import pytest import xarray as xr from click.testing import CliRunner import xclim from xclim.cli import cli from xclim.testing import open_dataset try: from dask.distributed import Cli...
[ "pytest.importorskip", "xclim.atmos.tg", "xclim.core.indicator.registry.items", "xarray.open_dataset", "numpy.zeros", "numpy.ones", "xarray.concat", "xarray.Dataset", "xarray.merge", "numpy.arange", "pytest.mark.parametrize", "xclim.set_options", "numpy.testing.assert_allclose", "click.tes...
[((380, 547), 'pytest.mark.parametrize', 'pytest.mark.parametrize', (['"""indicators,indnames"""', "[([xclim.atmos.tg_mean], ['tg_mean']), ([xclim.atmos.tn_mean, xclim.atmos.\n ice_days], ['tn_mean', 'ice_days'])]"], {}), "('indicators,indnames', [([xclim.atmos.tg_mean], [\n 'tg_mean']), ([xclim.atmos.tn_mean, xc...
from multiprocessing import Process, Queue import os import struct import tempfile import unittest import random from logging import getLogger from nose.plugins.attrib import attr from past.builtins import basestring import cloudsigma.resource as cr import cloudsigma.errors as errors from testing.utils import DumpRes...
[ "os.remove", "cloudsigma.resource.LibDrive", "tempfile.mkstemp", "cloudsigma.resumable_upload.Upload", "testing.utils.DumpResponse", "os.path.getsize", "cloudsigma.resource.Server", "random.randrange", "multiprocessing.Queue", "unittest.SkipTest", "os.fdopen", "multiprocessing.Process", "clo...
[((397, 416), 'logging.getLogger', 'getLogger', (['__name__'], {}), '(__name__)\n', (406, 416), False, 'from logging import getLogger\n'), ((420, 443), 'nose.plugins.attrib.attr', 'attr', (['"""acceptance_test"""'], {}), "('acceptance_test')\n", (424, 443), False, 'from nose.plugins.attrib import attr\n'), ((8964, 8987...
# rct_patch.py # # Author: jeFF0Falltrades # # A patching script for the Roller Coaster Tycoon (1999) game # executable for play on modern systems at full resolution. # # Homepage with Video Tutorial: # https://github.com/jeFF0Falltrades/Game-Patches/tree/master/rct_full_res # # MIT License # # Copyright (c) 2020 <NAME...
[ "os.path.isfile", "argparse.ArgumentParser" ]
[((2088, 2323), 'argparse.ArgumentParser', 'ArgumentParser', ([], {'description': '"""Roller Coaster Tycoon (1999) Full Resolution Patch by jeFF0Falltrades\n\nHomepage: https://github.com/jeFF0Falltrades/Game-Patches/tree/master/rct_full_res"""', 'formatter_class': 'RawTextHelpFormatter'}), '(description=\n """Rolle...
from PyQt5.QtCore import Qt from PyQt5.QtWidgets import QApplication, QWidget, QPushButton, QLabel, QListWidget, QLineEdit, QTextEdit, QInputDialog, QHBoxLayout, QVBoxLayout, QFormLayout import json app = QApplication([]) notes = { "Добро пожаловать!" : { "текст" : "Это самое лучшее приложени...
[ "PyQt5.QtWidgets.QLabel", "json.dump", "json.load", "PyQt5.QtWidgets.QWidget", "PyQt5.QtWidgets.QTextEdit", "PyQt5.QtWidgets.QPushButton", "PyQt5.QtWidgets.QLineEdit", "PyQt5.QtWidgets.QHBoxLayout", "PyQt5.QtWidgets.QInputDialog.getText", "PyQt5.QtWidgets.QListWidget", "PyQt5.QtWidgets.QVBoxLayo...
[((214, 230), 'PyQt5.QtWidgets.QApplication', 'QApplication', (['[]'], {}), '([])\n', (226, 230), False, 'from PyQt5.QtWidgets import QApplication, QWidget, QPushButton, QLabel, QListWidget, QLineEdit, QTextEdit, QInputDialog, QHBoxLayout, QVBoxLayout, QFormLayout\n'), ((490, 499), 'PyQt5.QtWidgets.QWidget', 'QWidget',...
from unittest import TestCase from unittest.mock import patch from app.service.business_service import SuperMan class TestSuperMan(TestCase): @classmethod def setUpClass(cls): pass @classmethod def tearDownClass(cls): pass def setUp(self): pass def tearDown(self): ...
[ "unittest.mock.patch", "app.service.business_service.SuperMan" ]
[((337, 426), 'unittest.mock.patch', 'patch', (['"""app.service.business_service.SuperMan._request_get"""'], {'return_value': '"""response"""'}), "('app.service.business_service.SuperMan._request_get', return_value=\n 'response')\n", (342, 426), False, 'from unittest.mock import patch\n'), ((492, 519), 'app.service....
#<NAME> #<EMAIL> #github.com/bksec ##################################### ###############RENKLER############### ##################################### sifirla = '\033[0m' beyaz = '\033[37m' kirmizi= '\033[31m' turuncu = '\u001b[38;5;208m' yesil= '\033[32m' sari= '\033[33m' lacivert= '\033[34m' pembe= '\033[35m' mor = ...
[ "random.choice" ]
[((1881, 1909), 'random.choice', 'random.choice', (['rastgeleliste'], {}), '(rastgeleliste)\n', (1894, 1909), False, 'import random\n')]
#!/usr/bin/env python # -*- coding: utf-8 -*- # <NAME> <<EMAIL>> <https://hanxiao.github.io> import tensorflow as tf initializer = tf.contrib.layers.variance_scaling_initializer(factor=1.0, mode='FAN_AVG', ...
[ "tensorflow.reduce_sum", "tensorflow.python.ops.array_ops.where", "tensorflow.contrib.layers.l2_regularizer", "tensorflow.gather_nd", "tensorflow.clip_by_value", "tensorflow.matmul", "tensorflow.greater", "tensorflow.get_variable", "tensorflow.one_hot", "tensorflow.nn.moments", "tensorflow.gathe...
[((133, 243), 'tensorflow.contrib.layers.variance_scaling_initializer', 'tf.contrib.layers.variance_scaling_initializer', ([], {'factor': '(1.0)', 'mode': '"""FAN_AVG"""', 'uniform': '(True)', 'dtype': 'tf.float32'}), "(factor=1.0, mode='FAN_AVG',\n uniform=True, dtype=tf.float32)\n", (179, 243), True, 'import tenso...
import shutil import numpy as np import pytest import openmc import openmc.capi from tests import cdtemp pytestmark = pytest.mark.skipif( not openmc.capi._dagmc_enabled(), reason="DAGMC CAD geometry is not enabled.") @pytest.fixture(scope="module", autouse=True) def dagmc_model(request): model = open...
[ "openmc.model.Model", "openmc.Material", "openmc.capi.init", "openmc.capi._dagmc_enabled", "openmc.capi.finalize", "pytest.fixture", "openmc.CellFilter", "tests.cdtemp", "openmc.Source", "openmc.stats.Box", "openmc.Tally", "pytest.mark.parametrize", "shutil.copyfile", "openmc.Materials" ]
[((232, 276), 'pytest.fixture', 'pytest.fixture', ([], {'scope': '"""module"""', 'autouse': '(True)'}), "(scope='module', autouse=True)\n", (246, 276), False, 'import pytest\n'), ((1665, 1751), 'pytest.mark.parametrize', 'pytest.mark.parametrize', (['"""cell_id,exp_temp"""', '((1, 320.0), (2, 300.0), (3, 293.6))'], {})...
"""This script requires to launch a local ipcontroller. If you execute this locally, do it with `ipcluster start`. """ import argparse import glob import logging import os import sys import time from ipyparallel import Client from ipyparallel.util import interactive logging.basicConfig(format='%(levelname)s: %(messag...
[ "ipyparallel.Client", "os.path.abspath", "argparse.ArgumentParser", "logging.basicConfig", "pandas.read_hdf", "time.sleep", "logging.info", "sys.stdout.flush", "os.path.join" ]
[((269, 345), 'logging.basicConfig', 'logging.basicConfig', ([], {'format': '"""%(levelname)s: %(message)s"""', 'level': 'logging.INFO'}), "(format='%(levelname)s: %(message)s', level=logging.INFO)\n", (288, 345), False, 'import logging\n'), ((518, 543), 'argparse.ArgumentParser', 'argparse.ArgumentParser', ([], {}), '...
import argparse from EasyLaMa import TextRemover from .util import load_image from .util import load_images import os def get_args(): parser = argparse.ArgumentParser() parser.add_argument("images", nargs="+", help="Images to process. Required") parser.add_argument("-e", "--edge", type=int, default=1, help...
[ "os.makedirs", "EasyLaMa.TextRemover", "argparse.ArgumentParser", "os.path.basename", "os.path.join" ]
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from tqdm import tqdm import numpy as np import pandas as pd from scipy.spatial.distance import cdist from scipy.sparse import issparse import numdifftools as nd from multiprocessing.dummy import Pool as ThreadPool import multiprocessing as mp import itertools, functools from ..tools.utils import timeit def is_outsid...
[ "numdifftools.Hessdiag", "numpy.trace", "numpy.sum", "scipy.sparse.issparse", "numpy.einsum", "numpy.ones", "numdifftools.Gradient", "numpy.arange", "numpy.exp", "numpy.matlib.tile", "numpy.linalg.norm", "numpy.unique", "multiprocessing.cpu_count", "numpy.atleast_2d", "pandas.DataFrame",...
[((3391, 3400), 'numpy.exp', 'np.exp', (['K'], {}), '(K)\n', (3397, 3400), True, 'import numpy as np\n'), ((4647, 4672), 'numpy.matlib.tile', 'np.matlib.tile', (['x', '[n, 1]'], {}), '(x, [n, 1])\n', (4661, 4672), True, 'import numpy as np\n'), ((4805, 4829), 'numpy.zeros', 'np.zeros', (['(d * m, d * n)'], {}), '((d * ...
""" *************************************************************************** OshAdjustGradient.py --------------------- Date : Nov 2020 Copyright : (C) 2020 by <NAME> Email : <EMAIL> at g<EMAIL> dot <EMAIL> ************************************************...
[ "qgis.core.QgsProject.instance", "qgis.core.QgsRendererCategory", "qgis.core.QgsGeometryUtils.distanceToVertex", "qgis.core.QgsField", "qgis.core.QgsGeometry", "qgis.core.QgsProcessingParameterFeatureSink", "qgis.core.QgsFeature", "qgis.core.QgsProcessingParameterNumber", "qgis.core.QgsFields", "q...
[((5879, 5890), 'qgis.core.QgsFields', 'QgsFields', ([], {}), '()\n', (5888, 5890), False, 'from qgis.core import QgsFeature, QgsField, QgsFields, QgsGeometry, QgsGeometryUtils, QgsProject, QgsProperty, QgsVectorLayer, QgsExpressionContextUtils, QgsLineSymbol, QgsRendererCategory, QgsCategorizedSymbolRenderer, QgsSpati...
import codecs import os.path import setuptools with open("README.md", "r", encoding="utf-8") as fh: long_description = fh.read() def read(rel_path): here = os.path.abspath(os.path.dirname(__file__)) with codecs.open(os.path.join(here, rel_path), "r") as fp: return fp.read() def get_version(rel_...
[ "setuptools.find_packages" ]
[((1412, 1449), 'setuptools.find_packages', 'setuptools.find_packages', ([], {'where': '"""src"""'}), "(where='src')\n", (1436, 1449), False, 'import setuptools\n')]
#!/usr/bin/env python import json import os import sys from jsonpath_ng import parse from lxml import etree SPEC_DIR = f"{os.path.dirname(os.path.realpath(__file__))}/../specification" def main(file: str): with open(file, 'r') as f: spec = json.load(f) req_path = parse("$.paths.['/$convert'].p...
[ "json.load", "os.path.realpath", "json.dumps", "jsonpath_ng.parse", "lxml.etree.parse", "lxml.etree.tostring" ]
[((1127, 1164), 'jsonpath_ng.parse', 'parse', (['f"""$.{com_path}.value.[\'$ref\']"""'], {}), '(f"$.{com_path}.value.[\'$ref\']")\n', (1132, 1164), False, 'from jsonpath_ng import parse\n'), ((1560, 1580), 'lxml.etree.parse', 'etree.parse', (['content'], {}), '(content)\n', (1571, 1580), False, 'from lxml import etree\...
bucketName = 'org.cicsnc.albedo' basePath = 'Input/area/' satellite = 'goes13' year = '2017' startDay = 1 endDay = 10 filterBand = 'BAND_01' dryrun = False import re from os import fdopen, remove from shutil import move from tempfile import mkstemp import boto3 def replace(file_path, pattern, subst): fh, abs_pa...
[ "os.remove", "tempfile.mkstemp", "boto3.client", "shutil.move", "os.fdopen", "re.sub" ]
[((1616, 1634), 'boto3.client', 'boto3.client', (['"""s3"""'], {}), "('s3')\n", (1628, 1634), False, 'import boto3\n'), ((2399, 2443), 'boto3.client', 'boto3.client', (['"""sqs"""'], {'region_name': '"""us-east-1"""'}), "('sqs', region_name='us-east-1')\n", (2411, 2443), False, 'import boto3\n'), ((325, 334), 'tempfile...
# -*- coding:utf-8 -*- # Copyright 2019 TEEX # # 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 ...
[ "threading.Thread.__init__", "backend.dispatcher.request_dispatcher.RequestDispatcher", "time.sleep" ]
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from spack import * from glob import glob import os class Tensorflow(Package): """TensorFlow is an Open Source Software Library for Machine Intelligence""" homepage = "https://www.tensorflow.org" url = "https://github.com/tensorflow/tensorflow/archive/v0.10.0.tar.gz" version('2.0.0-alpha0', 'a26...
[ "glob.glob" ]
[((12544, 12647), 'glob.glob', 'glob', (['"""../bazel-bin/tensorflow/tools/pip_package/build_pip_package.runfiles/org_tensorflow/*"""'], {}), "(\n '../bazel-bin/tensorflow/tools/pip_package/build_pip_package.runfiles/org_tensorflow/*'\n )\n", (12548, 12647), False, 'from glob import glob\n'), ((12687, 12728), 'gl...
#!/usr/bin/python # # Copyright (c) 2018 Amazon.com, Inc. or its affiliates. All Rights # Reserved. # # Additional copyrights may follow # import boto3 import botocore import sys import re import os import json import tarfile import hashlib from io import StringIO import datetime import u...
[ "unittest.main", "sys.stdout.write", "botocore.exceptions.ClientError", "hashlib.md5", "json.load", "hashlib.sha1", "os.stat", "os.path.basename", "mock.patch", "json.dumps", "hashlib.sha256", "datetime.datetime.fromtimestamp", "tarfile.open", "posix.stat_result", "re.search" ]
[((733, 746), 'hashlib.md5', 'hashlib.md5', ([], {}), '()\n', (744, 746), False, 'import hashlib\n'), ((758, 772), 'hashlib.sha1', 'hashlib.sha1', ([], {}), '()\n', (770, 772), False, 'import hashlib\n'), ((786, 802), 'hashlib.sha256', 'hashlib.sha256', ([], {}), '()\n', (800, 802), False, 'import hashlib\n'), ((9695, ...
from ethereum import tester, vm from ethereum.utils import sha3, encode_int32, safe_ord, encode_hex from ethereum.state_transition import apply_message s = tester.state() c = s.contract('eip_96_blockhash_getter.se.py') blockhash_addr = b'\x00' * 19 + b'\x10' system_addr = b'\xff' * 19 + b'\xfe' s.state.set_code(blockha...
[ "ethereum.utils.encode_int32", "ethereum.vm.Message", "ethereum.tester.state" ]
[((156, 170), 'ethereum.tester.state', 'tester.state', ([], {}), '()\n', (168, 170), False, 'from ethereum import tester, vm\n'), ((397, 483), 'ethereum.vm.Message', 'vm.Message', ([], {'sender': 'system_addr', 'to': 'blockhash_addr', 'value': '(0)', 'gas': '(1000000)', 'data': 'data'}), '(sender=system_addr, to=blockh...
from django_docutils.lib.utils import chop_after_docinfo, chop_after_title def test_chop_after_title(): content = """============================================= Learn JavaScript for free: The best resources ============================================= first section ------------- some content """.strip() ...
[ "django_docutils.lib.utils.chop_after_docinfo", "django_docutils.lib.utils.chop_after_title" ]
[((330, 355), 'django_docutils.lib.utils.chop_after_title', 'chop_after_title', (['content'], {}), '(content)\n', (346, 355), False, 'from django_docutils.lib.utils import chop_after_docinfo, chop_after_title\n'), ((794, 820), 'django_docutils.lib.utils.chop_after_docinfo', 'chop_after_docinfo', (['before'], {}), '(bef...
# to run this test, from directory above: # setenv PYTHONPATH /path/to/pyradiomics/radiomics # nosetests --nocapture -v tests/test_docstrings.py import logging from nose_parameterized import parameterized import six from radiomics import getFeatureClasses from testUtils import custom_name_func featureClasses = getF...
[ "logging.info", "six.iteritems", "radiomics.getFeatureClasses" ]
[((316, 335), 'radiomics.getFeatureClasses', 'getFeatureClasses', ([], {}), '()\n', (333, 335), False, 'from radiomics import getFeatureClasses\n'), ((1027, 1056), 'six.iteritems', 'six.iteritems', (['featureClasses'], {}), '(featureClasses)\n', (1040, 1056), False, 'import six\n'), ((1490, 1521), 'logging.info', 'logg...
"""Device RabbitMQ messages module.""" import json import logging import time import pika from fm_server.settings import get_config LOGGER = logging.getLogger("fm.device.rabbitmq") def get_connection(config=None): """This method connects to RabbitMQ, returning the connection handle. When th...
[ "pika.PlainCredentials", "pika.ConnectionParameters", "logging.getLogger", "time.sleep", "json.dumps", "pika.BasicProperties", "fm_server.settings.get_config", "pika.BlockingConnection" ]
[((153, 192), 'logging.getLogger', 'logging.getLogger', (['"""fm.device.rabbitmq"""'], {}), "('fm.device.rabbitmq')\n", (170, 192), False, 'import logging\n'), ((750, 787), 'pika.PlainCredentials', 'pika.PlainCredentials', (['user', 'password'], {}), '(user, password)\n', (771, 787), False, 'import pika\n'), ((802, 899...
import pytest import re from pytest_mock import mocker import flask import flask.sessions from flask_dynamodb_sessions import Session def test_session_boto_settings(mocker): client_mock = mocker.patch('flask_dynamodb_sessions.boto3.client') app = flask.Flask(__name__) app.config.update( SESSION...
[ "flask.Flask", "pytest_mock.mocker.spy", "pytest_mock.mocker.patch", "flask.make_response", "flask_dynamodb_sessions.Session" ]
[((195, 247), 'pytest_mock.mocker.patch', 'mocker.patch', (['"""flask_dynamodb_sessions.boto3.client"""'], {}), "('flask_dynamodb_sessions.boto3.client')\n", (207, 247), False, 'from pytest_mock import mocker\n'), ((259, 280), 'flask.Flask', 'flask.Flask', (['__name__'], {}), '(__name__)\n', (270, 280), False, 'import ...
import os import sys import unittest sys.path.insert(0, os.path.abspath('..')) from uplink.add_entry import add_entry class TestAddEntry(unittest.TestCase): def test_one_one(self): self.assertEqual(1 + 1, 2) if __name__ == '__main__': unittest.main()
[ "unittest.main", "os.path.abspath" ]
[((57, 78), 'os.path.abspath', 'os.path.abspath', (['""".."""'], {}), "('..')\n", (72, 78), False, 'import os\n'), ((255, 270), 'unittest.main', 'unittest.main', ([], {}), '()\n', (268, 270), False, 'import unittest\n')]
""" PyCLES Desc: This is an implementation of the Common Language Effect Size (CLES) in Python Author: <NAME> Date: 04/05/20 """ import numpy as np from scipy.stats import norm def nonparametric_cles(a, b, half_credit=True) -> float: """Nonparametric solver for the common language effect size. This solves ...
[ "numpy.subtract.outer", "scipy.stats.norm.cdf", "numpy.where", "numpy.mean", "numpy.sign", "numpy.sqrt" ]
[((789, 812), 'numpy.subtract.outer', 'np.subtract.outer', (['a', 'b'], {}), '(a, b)\n', (806, 812), True, 'import numpy as np\n'), ((821, 831), 'numpy.sign', 'np.sign', (['m'], {}), '(m)\n', (828, 831), True, 'import numpy as np\n'), ((902, 925), 'numpy.where', 'np.where', (['(m == -1)', '(0)', 'm'], {}), '(m == -1, 0...
#!/usr/bin/env python try: from debian.changelog import Changelog except ImportError: class Changelog(object): def __init__(self, _): pass def get_version(self): return '0.0.0' from os import environ from os.path import abspath, dirname, join from setuptools import setu...
[ "os.path.dirname", "os.path.join", "setuptools.find_packages" ]
[((384, 414), 'os.path.join', 'join', (['here', '"""debian/changelog"""'], {}), "(here, 'debian/changelog')\n", (388, 414), False, 'from os.path import abspath, dirname, join\n'), ((353, 370), 'os.path.dirname', 'dirname', (['__file__'], {}), '(__file__)\n', (360, 370), False, 'from os.path import abspath, dirname, joi...
from pydevd_constants import * #@UnusedWildImport from pydevd_file_utils import GetFilenameAndBase from _pydev_imps import _pydev_thread threadingCurrentThread = threading.currentThread DEBUG = False #====================================================================================================================...
[ "traceback.print_exc", "_pydev_imps._pydev_thread.allocate_lock", "pydevd_file_utils.GetFilenameAndBase" ]
[((659, 688), '_pydev_imps._pydev_thread.allocate_lock', '_pydev_thread.allocate_lock', ([], {}), '()\n', (686, 688), False, 'from _pydev_imps import _pydev_thread\n'), ((3629, 3650), 'traceback.print_exc', 'traceback.print_exc', ([], {}), '()\n', (3648, 3650), False, 'import traceback\n'), ((2756, 2781), 'pydevd_file_...
# vim: tabstop=4 shiftwidth=4 softtabstop=4 # # Copyright (c) 2016 Juniper Networks, Inc. All rights reserved. # """ CNI implementation Demultiplexes on the CNI_COMMAND and runs the necessary operation """ import ctypes import errno import inspect import json import os import sys import logging from pyroute2 import ...
[ "cni.Error", "os.getpid", "interface.CniNamespace", "interface.Interface.__init__", "pyroute2.IPRoute" ]
[((1153, 1164), 'os.getpid', 'os.getpid', ([], {}), '()\n', (1162, 1164), False, 'import os\n'), ((1337, 1369), 'interface.Interface.__init__', 'CniInterface.__init__', (['self', 'cni'], {}), '(self, cni)\n', (1358, 1369), True, 'from interface import Interface as CniInterface\n'), ((6830, 6839), 'pyroute2.IPRoute', 'I...
# Author: Yubo "Paul" Yang # Email: <EMAIL> # Kyrt is a versatile fabric exclusive to the planet Florina of Sark. # The fluorescent and mutable kyrt is ideal for artsy decorations. # OK, this is a library of reasonable defaults for matplotlib figures. # May this library restore elegance to your plots. import matplotli...
[ "matplotlib.cm.get_cmap", "numpy.argsort", "matplotlib.pyplot.figure", "numpy.arange", "numpy.diag", "matplotlib.pyplot.Normalize", "matplotlib.lines.Line2D", "sklearn.gaussian_process.kernels.DotProduct", "matplotlib.pyplot.setp", "matplotlib.pyplot.colorbar", "matplotlib.pyplot.cm.ScalarMappab...
[((573, 592), 'matplotlib.cm.get_cmap', 'get_cmap', (['"""viridis"""'], {}), "('viridis')\n", (581, 592), False, 'from matplotlib.cm import get_cmap\n'), ((1409, 1426), 'matplotlib.cm.get_cmap', 'cm.get_cmap', (['name'], {}), '(name)\n', (1420, 1426), False, 'from matplotlib import cm\n'), ((1688, 1713), 'matplotlib.py...
from django.utils.translation import ugettext_lazy as _ from mayan.apps.task_manager.classes import CeleryQueue from mayan.apps.task_manager.workers import worker_d queue_tools = CeleryQueue(label=_('Tools'), name='tools', worker=worker_d)
[ "django.utils.translation.ugettext_lazy" ]
[((204, 214), 'django.utils.translation.ugettext_lazy', '_', (['"""Tools"""'], {}), "('Tools')\n", (205, 214), True, 'from django.utils.translation import ugettext_lazy as _\n')]
# this project is licensed under the WTFPLv2, see COPYING.txt for details """Helpers for lexer use In EYE, builtin lexers from QScintilla are used. See :any:`PyQt5.Qsci.QsciLexer`. """ import mimetypes from PyQt5.QtGui import QColor, QFont from PyQt5.Qsci import ( QsciLexerBash, QsciLexerBatch, QsciLexerCPP, QsciL...
[ "mimetypes.guess_extension", "PyQt5.QtGui.QFont", "PyQt5.QtGui.QColor" ]
[((2829, 2860), 'mimetypes.guess_extension', 'mimetypes.guess_extension', (['mime'], {}), '(mime)\n', (2854, 2860), False, 'import mimetypes\n'), ((1252, 1269), 'PyQt5.QtGui.QColor', 'QColor', (['values[0]'], {}), '(values[0])\n', (1258, 1269), False, 'from PyQt5.QtGui import QColor, QFont\n'), ((1313, 1330), 'PyQt5.Qt...
#! /usr/bin/env python # coding=utf-8 # Copyright (c) 2021 Graphcore Ltd. All Rights Reserved. # Copyright (c) 2019 YunYang1994 <<EMAIL>> # License: MIT (https://opensource.org/licenses/MIT) # This file has been modified by Graphcore Ltd. import argparse import json import math import os import shutil import time imp...
[ "os.mkdir", "argparse.ArgumentParser", "tensorflow.python.ipu.config.IPUConfig", "core.utils.nms", "tensorflow.ConfigProto", "shutil.rmtree", "core.utils.read_class_names", "core.utils.postprocess_boxes", "tensorflow.train.ExponentialMovingAverage", "numpy.copy", "cv2.imwrite", "os.path.exists...
[((14187, 14266), 'argparse.ArgumentParser', 'argparse.ArgumentParser', ([], {'description': '"""evaluation in TensorFlow"""', 'add_help': '(False)'}), "(description='evaluation in TensorFlow', add_help=False)\n", (14210, 14266), False, 'import argparse\n'), ((781, 828), 'core.utils.read_class_names', 'utils.read_class...
""" MIT License Copyright (c) 2020 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 to use, copy, modify, merge, publish, distribute, s...
[ "autohyper.HyperParameters", "torchvision.models.resnet18", "autohyper.optimize", "torch.nn.CrossEntropyLoss", "pathlib.Path", "numpy.mean", "torch.no_grad", "torchvision.transforms.ToTensor" ]
[((2854, 2897), 'autohyper.HyperParameters', 'HyperParameters', ([], {'lr': '(True)', 'weight_decay': '(True)'}), '(lr=True, weight_decay=True)\n', (2869, 2897), False, 'from autohyper import optimize, LowRankMetrics, HyperParameters\n'), ((2913, 2985), 'autohyper.optimize', 'optimize', ([], {'epoch_trainer': 'epoch_tr...
from discord.ext import commands from discord.ext.commands.cooldowns import BucketType from mojang import MojangAPI as Mojang from pyosu import OsuApi import discord import pyosu from custom_funcs import embed_create, is_uuid4 def sync_minecraft(ctx, account): try: if is_uuid4(account): ...
[ "discord.utils.escape_markdown", "discord.ext.commands.command", "mojang.MojangAPI.get_profile", "mojang.MojangAPI.get_uuid", "discord.ext.commands.cooldown", "custom_funcs.is_uuid4", "pyosu.OsuApi", "custom_funcs.embed_create", "mojang.MojangAPI.get_name_history" ]
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import math # Nb grid square GRID_WIDTH = 10 GRID_HEIGHT = 10 # Absolute size of a grid square GRIDSIZE = 20 # Size of window SCREEN_WIDTH = GRID_WIDTH * GRIDSIZE SCREEN_HEIGHT = GRID_HEIGHT * GRIDSIZE UP = (0, -1) DOWN = (0, 1) LEFT = (-1, 0) RIGHT = (1, 0) # Returns true if a and b have same signs def same_sign(...
[ "math.sqrt" ]
[((997, 1047), 'math.sqrt', 'math.sqrt', (['((a[0] - b[0]) ** 2 + (a[1] - b[1]) ** 2)'], {}), '((a[0] - b[0]) ** 2 + (a[1] - b[1]) ** 2)\n', (1006, 1047), False, 'import math\n')]
# Generated by Django 3.1.5 on 2021-04-27 15:28 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('video', '0002_auto_20210427_1508'), ] operations = [ migrations.AlterField( model_name='video', name='views', ...
[ "django.db.models.IntegerField" ]
[((332, 390), 'django.db.models.IntegerField', 'models.IntegerField', ([], {'default': '(0)', 'verbose_name': '"""Views count"""'}), "(default=0, verbose_name='Views count')\n", (351, 390), False, 'from django.db import migrations, models\n')]
import asyncio from datetime import datetime from itertools import combinations import json import glob import os import time from typing import Optional, Tuple import re import sys from aiohttp.client import ClientSession, TCPConnector import redis sys.path.append(os.path.dirname(os.path.abspath(__file__)) + "/..") ...
[ "core.async_write.write_data", "aiohttp.client.TCPConnector", "json.dumps", "asyncio.as_completed", "os.path.join", "core.async_queue.get_queue", "redis.Redis", "core.utils.set_arb", "os.path.abspath", "json.loads", "core.async_queue.worker", "uvloop.EventLoopPolicy", "re.sub", "core.utils...
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# Simple tb logger import torch from exp import ex ''' geometry_normalizer = { 'cartesian': 4, # [0,1]x[0,1]x[0,1]x[0,1] 'angular': 98.696, # [-pi,pi]x[-.5pi,.5pi]x[0,2pi]x[0,pi] 'spherical': 61.348, # [-1,1]x[-1,1]x[-1,1]x[0,2pi]x[0,pi] 'quaternion': 17 # [0,1]x[-1,1]x[-1,1]x[0,2]x[0,2] ...
[ "exp.ex.capture" ]
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from time import time def main(): start = time() target = 200 ways = 0 for a in range(target, -1, -200): for b in range(a, -1, -100): for c in range(b, -1, -50): for d in range(c, -1, -20): for e in range(d, -1, -10): fo...
[ "time.time" ]
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# Copyright (c) 2015, <NAME> import os from tap.main import main from tap.tests import TestCase class TestMain(TestCase): """Tests for tap.main.main""" def test_exits_with_error(self): """The main function returns an error status if there were failures.""" argv = ['/bin/fake', 'fake.tap'] ...
[ "tap.main.main" ]
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