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import numpy as np import pyastar # The start and goal coordinates are in matrix coordinates (i, j). start = (0, 0) goal = (4, 4) # The minimum cost must be 1 for the heuristic to be valid. weights = np.array([[1, 3, 3, 3, 3], [2, 1, 3, 3, 3], [2, 2, 1, 3, 3], ...
[ "pyastar.astar_path", "numpy.array" ]
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""" A micro:bit MicroPython implementation of a random string sender for testing's sake. """ from microbit import * import random import radio radio.on() radio.config() primes = [2, 3, 5, 7, 11, 13, 17, 19] e = random.choice(primes) while True: p = random.choice(primes) if p % e != -1: break ...
[ "radio.send", "radio.config", "random.choice", "radio.on" ]
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from pathlib import Path module_dir = Path.home() / "module_results/basin_rivers" module_dir.mkdir(exist_ok=True)
[ "pathlib.Path.home" ]
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""" Some basic admin tests. Rather than testing the frontend UI -- that's be a job for something like Selenium -- this does a bunch of mocking and just tests the various admin callbacks. """ import mock from django.contrib import admin from django.contrib.auth import get_user_model from django.test import TestCase fro...
[ "fack.admin.QuestionAdmin", "django.contrib.auth.get_user_model", "mock.Mock" ]
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# engine/cursor.py # Copyright (C) 2005-2020 the SQLAlchemy authors and contributors # <see AUTHORS file> # # This module is part of SQLAlchemy and is released under # the MIT License: http://www.opensource.org/licenses/mit-license.php """Define cursor-specific result set constructs including :class:`.BaseCursorResult...
[ "functools.partial", "collections.deque" ]
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from __future__ import absolute_import # usage example: # # ARVADOS_API_TOKEN=abc ARVADOS_API_HOST=arvados.local python -m unittest discover import unittest import arvados import apiclient from . import run_test_server class PipelineTemplateTest(run_test_server.TestCaseWithServers): MAIN_SERVER = {} KEEP_SERV...
[ "arvados.api" ]
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# # File: vrfcode.py # Copyright: Grimm Project, Ren Pin NGO, all rights reserved. # License: MIT # ------------------------------------------------------------------------- # Authors: <NAME>(<EMAIL>) # # Description: generate transaction ID and verification code, # keeping them unique. # # To-Dos: # 1. make other s...
[ "itsdangerous.URLSafeTimedSerializer", "random.choices", "server.sys_logger.error", "time.time", "uuid.uuid1", "server.utils.misctools.is_ipv4_addr", "server.utils.misctools.get_host_ip" ]
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import os import pyomo import pyomo.environ as pe from pyomo.opt import SolverStatus, TerminationCondition from blocks.economic_dispatch import EconomicDispatch from manage_data.import_data import import_data def run_market_clearing( edp: EconomicDispatch ): ################################...
[ "os.path.join", "pyomo.environ.Suffix", "pyomo.environ.Constraint", "pyomo.environ.Var", "os.path.dirname", "pyomo.environ.Objective", "pyomo.environ.ConcreteModel", "pyomo.opt.SolverFactory", "manage_data.import_data.import_data" ]
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import math import random from os.path import basename from urllib.request import urlopen from urllib.parse import unquote from gi.repository import Gtk, GObject, Pango from pychess.compat import create_task from pychess.Players.Human import Human from pychess.Players.engineNest import discoverer from pychess.System ...
[ "urllib.parse.unquote", "pychess.perspectives.games.get_open_dialog", "pychess.System.uistuff.createCombo", "pychess.Players.engineNest.discoverer.connect_after", "gi.repository.Gtk.ListStore", "pychess.Utils.TimeModel.TimeModel", "pychess.Players.engineNest.discoverer.getName", "pychess.System.conf.g...
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# Unsupervised learning: Iris clustering¶ import seaborn as sns from sklearn.model_selection import train_test_split from sklearn.datasets import load_digits digits = load_digits() digits.data.shape digits.data[:10, :10] digits.images.shape import matplotlib.pyplot as plt fig, axes = plt.subplots(10, 10, figsize=(8,...
[ "sklearn.datasets.load_digits", "sklearn.naive_bayes.GaussianNB", "matplotlib.pyplot.show", "seaborn.heatmap", "sklearn.model_selection.train_test_split", "sklearn.metrics.accuracy_score", "matplotlib.pyplot.ylabel", "sklearn.manifold.Isomap", "matplotlib.pyplot.clim", "sklearn.metrics.confusion_m...
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# Copyright (c) 2015, Frappe Technologies Pvt. Ltd. and Contributors from __future__ import unicode_literals import frappe def execute(): frappe.db.set_value("DocType", "Maintenance Schedule", "module", "Maintenance") frappe.db.set_value("DocType", "Maintenance Schedule Detail", "module", "Maintenance") frappe.db....
[ "frappe.db.set_value" ]
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#!/usr/bin/env python # Set True to force compile native C-coded extension providing direct access # to inotify's syscalls. If set to False this extension will only be compiled # if no inotify interface from ctypes is found. compile_ext_mod = False # import statements import os import sys import distutils.extension f...
[ "ctypes.util.find_library", "distutils.core.setup", "distutils.util.get_platform", "sys.stderr.write", "ctypes.CDLL", "sys.exit" ]
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import logging import re import sys from datetime import datetime from pathlib import Path from flexget import plugin from flexget.config_schema import one_or_more from flexget.entry import Entry from flexget.event import event log = logging.getLogger('filesystem') class Filesystem: """ Uses local path cont...
[ "flexget.entry.Entry", "flexget.event.event", "sys.getfilesystemencoding", "pathlib.Path", "flexget.plugin.register", "flexget.config_schema.one_or_more", "datetime.datetime.fromtimestamp", "fnmatch.translate", "logging.getLogger", "re.compile" ]
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# -*- coding: utf-8 -*- # Copyright © 2017 Apple Inc. All rights reserved. # # Use of this source code is governed by a BSD-3-clause license that can # be found in the LICENSE.txt file or at https://opensource.org/licenses/BSD-3-Clause import random as _random import tarfile as _tarfile import turicreate as _tc from t...
[ "turicreate.extensions.one_shot_object_detector", "random.randint", "turicreate.toolkits.one_shot_object_detector.util._error_handling.check_one_shot_input", "turicreate.SArray", "turicreate.toolkits._data_zoo.OneShotObjectDetectorBackgroundData", "tarfile.open", "turicreate.toolkits._internal_utils._ha...
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from shutil import rmtree from argparse import Namespace from _pytest.tmpdir import TempPathFactory from _pytest.capture import CaptureFixture from pytest_mock import MockerFixture from grizzly_cli.init import tree, init from .helpers import onerror def test_tree(tmp_path_factory: TempPathFactory) -> None: tes...
[ "argparse.Namespace", "shutil.rmtree", "grizzly_cli.init.init", "grizzly_cli.init.tree" ]
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from kivy.uix.tabbedpanel import TabbedPanel, TabbedPanelItem,\ TabbedPanelHeader, TabbedPanelContent from kivy.properties import ObjectProperty, StringProperty,\ BooleanProperty, NumericProperty from kivy.uix.boxlayout import BoxLayout from kivy.uix.gridlayout import GridLayout from kivy.uix.widget import Widg...
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import asyncio import inspect import sys import time from contextvars import ContextVar, Token from types import TracebackType from typing import Any, Callable, Coroutine, Dict, List, Optional, Type, Union def current_task(loop: Optional[asyncio.AbstractEventLoop] = None) -> "Optional[asyncio.Task[Any]]": """retu...
[ "asyncio.get_event_loop", "asyncio.TimeoutError", "asyncio.Task.current_task", "asyncio.current_task", "asyncio.get_running_loop", "time.time", "inspect.getmodule", "asyncio.iscoroutine", "contextvars.ContextVar", "asyncio.wait_for", "asyncio.wait", "asyncio.Future" ]
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import logging import re import shutil from bs4 import BeautifulSoup from chibi.file import Chibi_path from chibi.atlas import Chibi_atlas from chibi_dl.site.base.site import Site from chibi_requests import Chibi_url from .regex import re_image logger = logging.getLogger( "chibi_dl.sites.ehentai.episode" ) class ...
[ "chibi.atlas.Chibi_atlas", "logging.getLogger" ]
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import RNA sequence = "GGGGAAAACCCC" # Set global switch for unique ML decomposition RNA.cvar.uniq_ML = 1 subopt_data = { 'counter' : 1, 'sequence' : sequence } # Print a subopt result as FASTA record def print_subopt_result(structure, energy, data): if not structure == None: print(">subopt {:d}".format...
[ "RNA.fold_compound" ]
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from base64 import urlsafe_b64decode from django import forms from phraseless.certificates import deserialize_certificate_chain class CertificateAuth(forms.Form): certificate_chain = forms.CharField() challenge_signature = forms.CharField() def clean_certificate_chain(self): return deserialize_...
[ "django.forms.CharField" ]
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# coding=utf-8 # *** WARNING: this file was generated by pulumigen. *** # *** 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 from ... import _utilities, _tables from . import outpu...
[ "pulumi.get", "pulumi.getter", "pulumi.set" ]
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#simulate the movement of the rogue AP and recieved RSSI values at the stationary #APs based on the lognormal shadowing model #Results will be written in a file to be read by the server to calculate the distance to the rogue AP #Prx(d) = Prx(d0)-10*n*log(d/d0) + x(0, σ) #rogue AP moves at a constant speed = 1m/sec from...
[ "math.sqrt", "Crypto.Random.random.randrange", "Crypto.Random.random.choice", "math.log10", "numpy.random.normal" ]
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import networkx as nx import pandas as pd # file = open('/Users/aida/Dropbox/PhD/Internship/RegLab/COVID-Outbreak/node2vec/emb/karate_1.txt') # i = 0 # for line in file: # line = line.strip() # line = line.split(' ') # line = [float(i) for i in line] # print(i , line) # i += 1 df = pd.read_csv('/Users/aid...
[ "pandas.read_csv", "networkx.get_edge_attributes", "networkx.Graph", "networkx.from_pandas_edgelist", "networkx.write_edgelist" ]
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# Import modules import re from json import loads from urllib.request import urlopen from subprocess import check_output, DEVNULL, STDOUT # MAC address regex macRegex = re.compile('[0-9a-f]{2}([-:]?)[0-9a-f]{2}(\\1[0-9a-f]{2}){4}$') # Get router ip address cmd = 'chcp 65001 && ipconfig | findstr /i \"Default Gat...
[ "subprocess.check_output", "urllib.request.urlopen", "json.loads", "re.compile" ]
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# -*- coding: utf-8 -*- # ***************************************************************************** # NICOS, the Networked Instrument Control System of the MLZ # Copyright (c) 2009-2020 by the NICOS contributors (see AUTHORS) # # This program is free software; you can redistribute it and/or modify it under # the t...
[ "nicos.guisupport.qt.pyqtSignal", "nicos.guisupport.typedvalue.create", "nicos.guisupport.qt.QWidget", "nicos.guisupport.utils.DoubleValidator", "nicos.guisupport.qt.QLineEdit", "nicos.guisupport.qt.QCheckBox", "nicos.guisupport.qt.QHBoxLayout", "nicos.guisupport.qt.QSpinBox", "nicos.guisupport.qt.Q...
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#!/usr/bin/python # encoding: utf-8 import random import os import torch from PIL import Image import numpy as np from utils import * import cv2 def scale_image_channel(im, c, v): cs = list(im.split()) cs[c] = cs[c].point(lambda i: i * v) out = Image.merge(im.mode, tuple(cs)) return out def distort_...
[ "random.randint", "random.uniform", "os.path.getsize", "numpy.zeros", "PIL.Image.open", "numpy.reshape", "numpy.loadtxt", "torch.zeros", "os.path.join", "os.listdir", "torch.from_numpy" ]
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import os import labelbox2pascal as lb2pa class TestFromJSON(): def results_output(self): TEST_OUTPUT_DIR = 'test-results' if not os.path.isdir(TEST_OUTPUT_DIR): os.makedirs(TEST_OUTPUT_DIR) return TEST_OUTPUT_DIR def test_wkt_1(self): lb2pa.from_json('test-fixture...
[ "os.path.isdir", "os.makedirs" ]
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import logging import os import numpy as np import torch from tensorboardX import SummaryWriter from torch.optim.lr_scheduler import ReduceLROnPlateau from . import utils from tqdm import tqdm from unet3d.utils import unpad_eval class UNet3DTrainer: """3D UNet trainer. Args: model (Unet3D): UNet 3D ...
[ "tqdm.tqdm", "torch.no_grad", "unet3d.utils.unpad_eval", "numpy.ptp", "numpy.min", "torch.device", "torch.zeros", "os.path.split", "os.path.join", "torch.from_numpy" ]
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from utilities import listFields, getShp, getOID, statusMessage, parseProp, makeInter from arcpy import SpatialReference, SearchCursor from parseGeometry import getParseFunc from json import dump #really the only global wgs84="GEOGCS['GCS_WGS_1984',DATUM['D_WGS_1984',SPHEROID['WGS_1984',6378137.0,298.257223563]],PRI...
[ "utilities.listFields", "json.dump", "parseGeometry.getParseFunc", "utilities.parseProp", "arcpy.SearchCursor", "utilities.getShp", "utilities.getOID", "utilities.statusMessage", "arcpy.SpatialReference" ]
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import logging import pytest import kopf # We assume that the handler filtering is tested in details elsewhere (for all handlers). # Here, we only test if it is applied or not applied. async def test_daemon_filtration_satisfied( registry, settings, resource, dummy, caplog, assert_logs, k8s_mocked, ...
[ "pytest.mark.parametrize", "kopf.daemon" ]
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# -*- coding: utf-8 -*- import h5py import yaml from collections import UserDict from datetime import datetime from numpy import string_ from contextlib import contextmanager TYPEID = '_type_' @contextmanager def hdf_file(hdf, lazy=True, *args, **kwargs): """Context manager yields h5 file if hdf is str, oth...
[ "yaml.safe_dump", "h5py.File", "numpy.string_", "datetime.datetime.fromtimestamp" ]
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import sys import os from PIL import Image, ImageFilter, EpsImagePlugin #grab first and second argument try: in_folder = sys.argv[1] out_folder = sys.argv[2] os.makedirs(out_folder, exist_ok=True) #loop through input folder for filename in os.listdir(in_folder): if filename.endswith('.jpg')...
[ "os.listdir", "os.path.splitext", "os.path.join", "os.makedirs" ]
[((175, 213), 'os.makedirs', 'os.makedirs', (['out_folder'], {'exist_ok': '(True)'}), '(out_folder, exist_ok=True)\n', (186, 213), False, 'import os\n'), ((262, 283), 'os.listdir', 'os.listdir', (['in_folder'], {}), '(in_folder)\n', (272, 283), False, 'import os\n'), ((349, 382), 'os.path.join', 'os.path.join', (['in_f...
"""Unit tests for reviewboard.diffviewer.parser.DiffXParser.""" from djblets.testing.decorators import add_fixtures from reviewboard.diffviewer.errors import DiffParserError from reviewboard.diffviewer.parser import DiffXParser from reviewboard.scmtools.core import HEAD, PRE_CREATION, UNKNOWN from reviewboard.testing...
[ "djblets.testing.decorators.add_fixtures", "reviewboard.diffviewer.parser.DiffXParser" ]
[((65489, 65520), 'djblets.testing.decorators.add_fixtures', 'add_fixtures', (["['test_scmtools']"], {}), "(['test_scmtools'])\n", (65501, 65520), False, 'from djblets.testing.decorators import add_fixtures\n'), ((69688, 69719), 'djblets.testing.decorators.add_fixtures', 'add_fixtures', (["['test_scmtools']"], {}), "([...
# coding: utf-8 from __future__ import absolute_import """ Copyright 2020 Jackpine Technologies Corporation Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org...
[ "cons3rt.api_client.ApiClient", "cons3rt.exceptions.ApiValueError", "six.iteritems", "cons3rt.exceptions.ApiTypeError" ]
[((4473, 4514), 'six.iteritems', 'six.iteritems', (["local_var_params['kwargs']"], {}), "(local_var_params['kwargs'])\n", (4486, 4514), False, 'import six\n'), ((9567, 9608), 'six.iteritems', 'six.iteritems', (["local_var_params['kwargs']"], {}), "(local_var_params['kwargs'])\n", (9580, 9608), False, 'import six\n'), (...
def pooled_cohen_kappa(samples_a, samples_b, weight_type=None, questions=None): """ Compute the pooled Cohen's Kappa for the given samples. From: <NAME>., <NAME>., <NAME>., & <NAME>. (2008). Using pooled kappa to summarize interrater agreement across many items. Field methods, 20(3)...
[ "numpy.sum", "numpy.zeros", "numpy.mean", "numpy.array", "numpy.concatenate" ]
[((2022, 2041), 'numpy.array', 'np.array', (['samples_a'], {}), '(samples_a)\n', (2030, 2041), True, 'import numpy as np\n'), ((2058, 2077), 'numpy.array', 'np.array', (['samples_b'], {}), '(samples_b)\n', (2066, 2077), True, 'import numpy as np\n'), ((4942, 4957), 'numpy.zeros', 'np.zeros', (['ncols'], {}), '(ncols)\n...
# Unit tests related to 'Pickups' (https://www.easypost.com/docs/api#pickups). import time import datetime import easypost import pytest import pytz ONE_DAY = datetime.timedelta(days=1) @pytest.fixture def noon_on_next_monday(): today = datetime.date.today() next_monday = today + datetime.timedelta(days=(7 ...
[ "pytest.mark.vcr", "easypost.Shipment.create", "easypost.Batch.create_and_buy", "datetime.date.today", "easypost.Address.create", "time.sleep", "datetime.timedelta", "pytz.timezone", "datetime.datetime.combine" ]
[((161, 187), 'datetime.timedelta', 'datetime.timedelta', ([], {'days': '(1)'}), '(days=1)\n', (179, 187), False, 'import datetime\n'), ((481, 498), 'pytest.mark.vcr', 'pytest.mark.vcr', ([], {}), '()\n', (496, 498), False, 'import pytest\n'), ((3067, 3084), 'pytest.mark.vcr', 'pytest.mark.vcr', ([], {}), '()\n', (3082...
import torch import torch.nn as nn import torch.nn.functional as F import numpy as np from .occ_targets_template import OccTargetsTemplate from ....utils import coords_utils, point_box_utils class OccTargets3D(OccTargetsTemplate): def __init__( self, model_cfg, voxel_size, point_cl...
[ "torch.ones_like", "torch.unique", "torch.zeros_like", "numpy.asarray", "torch.cat", "torch.zeros" ]
[((8412, 8490), 'torch.zeros', 'torch.zeros', (['[bs, self.nz, self.ny, self.nx]'], {'dtype': 'torch.uint8', 'device': '"""cuda"""'}), "([bs, self.nz, self.ny, self.nx], dtype=torch.uint8, device='cuda')\n", (8423, 8490), False, 'import torch\n'), ((11282, 11350), 'torch.zeros', 'torch.zeros', (['[bs, 3, nz, ny, nx]'],...
import dash from dash.testing import wait from dash_table import DataTable from dash_html_components import Div from selenium.webdriver.common.keys import Keys import pandas as pd url = "https://github.com/plotly/datasets/raw/master/" "26k-consumer-complaints.csv" rawDf = pd.read_csv(url, nrows=100) df = rawDf.to_d...
[ "pandas.read_csv", "dash.Dash", "dash_table.DataTable" ]
[((277, 304), 'pandas.read_csv', 'pd.read_csv', (['url'], {'nrows': '(100)'}), '(url, nrows=100)\n', (288, 304), True, 'import pandas as pd\n'), ((374, 393), 'dash.Dash', 'dash.Dash', (['__name__'], {}), '(__name__)\n', (383, 393), False, 'import dash\n'), ((821, 843), 'dash_table.DataTable', 'DataTable', ([], {}), '(*...
# -*- coding: utf-8 -*- # Copyright (c) 2018, Frappe Technologies Pvt. Ltd. and Contributors # See license.txt from __future__ import unicode_literals import frappe import unittest from frappe.utils import nowdate, add_days test_dependencies = ["Shift Type"] class TestShiftAssignment(unittest.TestCase): def setUp(...
[ "frappe.db.sql", "frappe.utils.nowdate" ]
[((329, 379), 'frappe.db.sql', 'frappe.db.sql', (['"""delete from `tabShift Assignment`"""'], {}), "('delete from `tabShift Assignment`')\n", (342, 379), False, 'import frappe\n'), ((1350, 1359), 'frappe.utils.nowdate', 'nowdate', ([], {}), '()\n', (1357, 1359), False, 'from frappe.utils import nowdate, add_days\n'), (...
# critiquebrainz - Repository for Creative Commons licensed reviews # # Copyright (C) 2018 <NAME>. # # This program is free software; you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation; either version 2 of the License, or # (at you...
[ "flask.url_for", "unittest.mock.MagicMock", "critiquebrainz.db.users.get_or_create" ]
[((3122, 3148), 'unittest.mock.MagicMock', 'MagicMock', ([], {'return_value': '[]'}), '(return_value=[])\n', (3131, 3148), False, 'from unittest.mock import MagicMock\n'), ((3200, 3257), 'unittest.mock.MagicMock', 'MagicMock', ([], {'side_effect': 'mb_exceptions.NoDataFoundException'}), '(side_effect=mb_exceptions.NoDa...
# -*- coding: utf-8 -*- # Time : 2021/7/25 13:59 # Author : QIN2DIM # Github : https://github.com/QIN2DIM # Description: import json import os from datetime import datetime from bs4 import BeautifulSoup from selenium.common.exceptions import ( StaleElementReferenceException, WebDriverException, ...
[ "os.mkdir", "os.path.exists", "datetime.datetime.now", "bs4.BeautifulSoup", "src.BusinessCentralLayer.setting.logger.error", "os.path.join" ]
[((1175, 1221), 'os.path.join', 'os.path.join', (['database_dir', 'self.cache_db_name'], {}), '(database_dir, self.cache_db_name)\n', (1187, 1221), False, 'import os\n'), ((1383, 1422), 'os.path.join', 'os.path.join', (['self.cache_db_path', 'signs'], {}), '(self.cache_db_path, signs)\n', (1395, 1422), False, 'import o...
import csv from collections import defaultdict import numpy as np from PySAM.ResourceTools import SAM_CSV_to_solar_data from hybrid.keys import get_developer_nrel_gov_key from hybrid.log import hybrid_logger as logger from hybrid.resource.resource import * class SolarResource(Resource): """ Class to mana...
[ "numpy.pad", "hybrid.keys.get_developer_nrel_gov_key", "numpy.array", "PySAM.ResourceTools.SAM_CSV_to_solar_data", "numpy.delete" ]
[((3314, 3346), 'PySAM.ResourceTools.SAM_CSV_to_solar_data', 'SAM_CSV_to_solar_data', (['data_dict'], {}), '(data_dict)\n', (3335, 3346), False, 'from PySAM.ResourceTools import SAM_CSV_to_solar_data\n'), ((2219, 2247), 'hybrid.keys.get_developer_nrel_gov_key', 'get_developer_nrel_gov_key', ([], {}), '()\n', (2245, 224...
# Copyright 2013-2022 Lawrence Livermore National Security, LLC and other # Spack Project Developers. See the top-level COPYRIGHT file for details. # # SPDX-License-Identifier: (Apache-2.0 OR MIT) import os from spack import * from spack.version import ver def get_best_target(microarch, compiler_name, compiler_vers...
[ "os.path.exists", "spack.version.ver", "os.path.splitext", "os.path.getmtime", "os.path.getatime", "os.path.join" ]
[((6242, 6299), 'os.path.join', 'os.path.join', (['"""doc"""', '"""_build"""', '"""html"""', '"""en"""', '"""index.html"""'], {}), "('doc', '_build', 'html', 'en', 'index.html')\n", (6254, 6299), False, 'import os\n'), ((6311, 6328), 'os.path.exists', 'os.path.exists', (['f'], {}), '(f)\n', (6325, 6328), False, 'import...
""" @author: lxy @email: <EMAIL> @date: 2021/12/9 @description: 这里维护各种模型的复现结果。用户进行实验后,可以拉取实验结果,一键生成对应的 latex 表格,就不用手动抄写到论文中了 https://pandas.pydata.org/docs/reference/api/pandas.io.formats.style.Styler.to_latex.html """ import os from pathlib import Path from typing import List, Union, Dict import pandas as pd from to...
[ "os.getcwd", "os.path.join", "pandas.DataFrame.from_dict" ]
[((411, 422), 'os.getcwd', 'os.getcwd', ([], {}), '()\n', (420, 422), False, 'import os\n'), ((5605, 5616), 'os.getcwd', 'os.getcwd', ([], {}), '()\n', (5614, 5616), False, 'import os\n'), ((7827, 7891), 'pandas.DataFrame.from_dict', 'pd.DataFrame.from_dict', (['new_dict'], {'orient': '"""index"""', 'columns': 'header'...
#Copyright (c) 2018-2020 Analog Devices, Inc. All Rights Reserved. #This software is proprietary to Analog Devices, Inc. and its licensors. # #Author: <NAME> #requires pythonnet to be installed (pip install pythonnet) import clr from time import sleep import os #get path to resources folder and dll topDir = os.path....
[ "os.getcwd", "clr.AddReference", "time.sleep" ]
[((377, 436), 'clr.AddReference', 'clr.AddReference', (["(topDir + '\\\\resources\\\\FX3ApiWrapper.dll')"], {}), "(topDir + '\\\\resources\\\\FX3ApiWrapper.dll')\n", (393, 436), False, 'import clr\n'), ((325, 336), 'os.getcwd', 'os.getcwd', ([], {}), '()\n', (334, 336), False, 'import os\n'), ((1063, 1073), 'time.sleep...
import time from torba.server.block_processor import BlockProcessor from lbry.schema.claim import Claim from lbry.wallet.server.db.writer import SQLDB class Timer: def __init__(self, name): self.name = name self.total = 0 self.count = 0 self.sub_timers = {} self._last_st...
[ "lbry.schema.claim.Claim.from_bytes", "time.time" ]
[((890, 901), 'time.time', 'time.time', ([], {}), '()\n', (899, 901), False, 'import time\n'), ((966, 977), 'time.time', 'time.time', ([], {}), '()\n', (975, 977), False, 'import time\n'), ((3431, 3454), 'lbry.schema.claim.Claim.from_bytes', 'Claim.from_bytes', (['value'], {}), '(value)\n', (3447, 3454), False, 'from l...
from django.urls import path from .views import emailView, successView urlpatterns = [ path('contact/', emailView, name='contact'), path('success/', successView, name='success'), ]
[ "django.urls.path" ]
[((93, 136), 'django.urls.path', 'path', (['"""contact/"""', 'emailView'], {'name': '"""contact"""'}), "('contact/', emailView, name='contact')\n", (97, 136), False, 'from django.urls import path\n'), ((142, 187), 'django.urls.path', 'path', (['"""success/"""', 'successView'], {'name': '"""success"""'}), "('success/', ...
## Process profiling traces # exctracted with: python -m cProfile -o profile $(which py.test) # python -m cProfile -o profile c:\Python27\Scripts\py.test-2.7-script.py import pstats p = pstats.Stats('profile') p.sort_stats("tottime") p.print_stats()
[ "pstats.Stats" ]
[((188, 211), 'pstats.Stats', 'pstats.Stats', (['"""profile"""'], {}), "('profile')\n", (200, 211), False, 'import pstats\n')]
# Copyright 2020 University of New South Wales, University of Sydney, Ingham Institute # 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 # Unle...
[ "os.listdir", "platipy.backend.DataObject", "os.makedirs", "pydicom.read_file", "loguru.logger.error", "os.path.basename", "tarfile.is_tarfile", "os.path.exists", "json.dumps", "platipy.backend.app.register", "loguru.logger.info", "tempfile.mkdtemp", "pymedphys.experimental.pinnacle.Pinnacle...
[((989, 1077), 'platipy.backend.app.register', 'app.register', (['"""Pinnacle Export"""'], {'default_settings': 'PINNACLE_EXPORT_SETTINGS_DEFAULTS'}), "('Pinnacle Export', default_settings=\n PINNACLE_EXPORT_SETTINGS_DEFAULTS)\n", (1001, 1077), False, 'from platipy.backend import app, DataObject, celery\n'), ((1238,...
import datetime from datetime import datetime as dt from datetime import timedelta import pandas as pd import plotly.express as px import psycopg2.extras import streamlit as st import yfinance as yf from database import connection, cursor @st.cache def query(sql): cursor.execute(sql) results = cursor.fetcha...
[ "pandas.DataFrame", "streamlit.sidebar.number_input", "streamlit.columns", "database.connection.rollback", "streamlit.plotly_chart", "streamlit.table", "yfinance.download", "datetime.date", "streamlit.title", "datetime.datetime", "streamlit.container", "streamlit.sidebar.markdown", "datetime...
[((273, 292), 'database.cursor.execute', 'cursor.execute', (['sql'], {}), '(sql)\n', (287, 292), False, 'from database import connection, cursor\n'), ((307, 324), 'database.cursor.fetchall', 'cursor.fetchall', ([], {}), '()\n', (322, 324), False, 'from database import connection, cursor\n'), ((372, 419), 'streamlit.tit...
import sys import os import time import datetime import shutil def main(path=sys.path[0], days=2,size=4096): paths = [path+"\\"+"Archive",path+"\\"+"Small",path+"\\"] if os.path.isdir(path): flagA=False flagS=False if not os.path.isdir(paths[0]): flagA=True if not os...
[ "os.mkdir", "datetime.datetime.today", "os.path.isdir", "os.path.getsize", "os.path.isfile", "datetime.timedelta", "os.path.getmtime", "os.listdir", "shutil.copy" ]
[((179, 198), 'os.path.isdir', 'os.path.isdir', (['path'], {}), '(path)\n', (192, 198), False, 'import os\n'), ((382, 398), 'os.listdir', 'os.listdir', (['path'], {}), '(path)\n', (392, 398), False, 'import os\n'), ((414, 439), 'datetime.datetime.today', 'datetime.datetime.today', ([], {}), '()\n', (437, 439), False, '...
# Generated by Django 2.0.1 on 2018-06-23 11:39 from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('unlabel_backend', '0014_auto_20180623_1137'), ] operations = [ migrations.RenameModel( old_name='News', new_name='Article', ...
[ "django.db.migrations.AlterModelOptions", "django.db.migrations.RenameModel" ]
[((235, 294), 'django.db.migrations.RenameModel', 'migrations.RenameModel', ([], {'old_name': '"""News"""', 'new_name': '"""Article"""'}), "(old_name='News', new_name='Article')\n", (257, 294), False, 'from django.db import migrations\n'), ((339, 459), 'django.db.migrations.AlterModelOptions', 'migrations.AlterModelOpt...
import os import sys import csv def chart(): print("\t Reading CSV File and Generating Graph... \n") #Create lists labels=[] values=[] #Check csv file if not os.path.isfile('WifiTest.csv'): print("\n The MCP has derezzed the file!\n") with open('WifiTest.csv') as csvFile: ...
[ "os.path.isfile", "csv.reader" ]
[((184, 214), 'os.path.isfile', 'os.path.isfile', (['"""WifiTest.csv"""'], {}), "('WifiTest.csv')\n", (198, 214), False, 'import os\n'), ((331, 365), 'csv.reader', 'csv.reader', (['csvFile'], {'delimiter': '""","""'}), "(csvFile, delimiter=',')\n", (341, 365), False, 'import csv\n')]
import os from os import path import numpy as np import pytest from astropy import cosmology as cosmo import autofit as af import autolens as al from autolens.fit.fit import InterferometerFit from test_autolens.mock import mock_pipeline pytestmark = pytest.mark.filterwarnings( "ignore:Using a non-tuple sequence ...
[ "autolens.masked.interferometer", "autolens.PhaseInterferometer", "os.path.realpath", "pytest.fixture", "numpy.ones", "autolens.visibilities.full", "autolens.GalaxyModel", "autolens.fit", "autolens.hyper_data.HyperBackgroundNoise", "autolens.fit.fit.InterferometerFit", "pytest.mark.filterwarning...
[((253, 558), 'pytest.mark.filterwarnings', 'pytest.mark.filterwarnings', (['"""ignore:Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an arrays index, `arr[np.arrays(seq)]`, which will result either in an err...
""" Customize the behavior of a fixture by allowing special code to be executed before or after each test, and before or after each suite. """ from __future__ import absolute_import import os import sys import bson import pymongo from . import fixtures from . import testcases from .. import errors from .. import lo...
[ "bson.CodecOptions", "os.getenv", "sys.exc_info" ]
[((16763, 16813), 'bson.CodecOptions', 'bson.CodecOptions', ([], {'document_class': 'TypeSensitiveSON'}), '(document_class=TypeSensitiveSON)\n', (16780, 16813), False, 'import bson\n'), ((2930, 2959), 'os.getenv', 'os.getenv', (['"""ASAN_OPTIONS"""', '""""""'], {}), "('ASAN_OPTIONS', '')\n", (2939, 2959), False, 'impor...
import logging from utils import find_resource from diana.apis import Orthanc, DcmDir from diana.dixel import DixelView, ShamDixel from diana.utils.dicom import DicomLevel def test_orthanc_ep(setup_orthanc0): logging.debug("Test Orthanc EP") O = Orthanc() print(O) O.check() def test_orthanc_upload...
[ "logging.debug", "logging.basicConfig", "conftest.mk_orthanc", "diana.apis.Orthanc", "diana.dixel.ShamDixel.from_dixel", "utils.find_resource", "diana.apis.DcmDir" ]
[((216, 248), 'logging.debug', 'logging.debug', (['"""Test Orthanc EP"""'], {}), "('Test Orthanc EP')\n", (229, 248), False, 'import logging\n'), ((258, 267), 'diana.apis.Orthanc', 'Orthanc', ([], {}), '()\n', (265, 267), False, 'from diana.apis import Orthanc, DcmDir\n'), ((343, 379), 'logging.debug', 'logging.debug',...
from copy import copy import image_loader import torch import os import binary_classifier.model import binary_classifier.binary_network_pytorch import transfer_classifier.model import transfer_classifier.transfer_network_pytorch from utils import fill_labels EPOCHS = 50 LEARNING_RATE = 0.001 BATCH_SIZE = 128 BINARY_...
[ "torch.load", "copy.copy", "os.path.exists", "image_loader.get_nih_dataset", "utils.fill_labels", "image_loader.get_covid_dataset" ]
[((882, 912), 'image_loader.get_nih_dataset', 'image_loader.get_nih_dataset', ([], {}), '()\n', (910, 912), False, 'import image_loader\n'), ((946, 978), 'image_loader.get_covid_dataset', 'image_loader.get_covid_dataset', ([], {}), '()\n', (976, 978), False, 'import image_loader\n'), ((1005, 1048), 'image_loader.get_co...
#!/usr/bin/env python3 # -*- encoding: utf-8 # SPDX-License-Identifier: MIT # Copyright (c) 2021 - 2021, <EMAIL> __banner__ = r""" ( _ ______ ____ _____ _______ _ _ | | | ____| / __ \ | __ \ |__ __| | | | | __| | ___ ___ ...
[ "bs4.BeautifulSoup", "copy.copy" ]
[((4784, 4808), 'copy.copy', 'copy.copy', (['self.in_order'], {}), '(self.in_order)\n', (4793, 4808), False, 'import hashlib, copy\n'), ((2543, 2577), 'bs4.BeautifulSoup', 'BeautifulSoup', (['html', '"""html.parser"""'], {}), "(html, 'html.parser')\n", (2556, 2577), False, 'from bs4 import BeautifulSoup\n')]
from django.db import models from django_extensions.db.fields.json import JSONField from olympia.amo.fields import PositiveAutoField from olympia.amo.models import SearchMixin def update_inc(initial, key, count): """Update or create a dict of `int` counters, for JSONField.""" initial = initial or {} init...
[ "django.db.models.ForeignKey", "django.db.models.CharField", "django.db.models.PositiveIntegerField", "django_extensions.db.fields.json.JSONField", "django.db.models.FloatField", "django.db.models.IntegerField", "django.db.models.DateField", "django.db.models.Avg", "olympia.amo.fields.PositiveAutoFi...
[((509, 544), 'olympia.amo.fields.PositiveAutoField', 'PositiveAutoField', ([], {'primary_key': '(True)'}), '(primary_key=True)\n', (526, 544), False, 'from olympia.amo.fields import PositiveAutoField\n'), ((605, 638), 'django.db.models.ForeignKey', 'models.ForeignKey', (['"""addons.Addon"""'], {}), "('addons.Addon')\n...
#!/usr/bin/python # # Copyright 2018-2021 Polyaxon, Inc. # # 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 ...
[ "polyaxon.utils.formatting.Printer.print_warning", "click.option", "polyaxon.cli.project_versions.open_project_version_dashboard", "click.Choice", "polyaxon.cli.project_versions.get_project_version", "polyaxon.cli.project_versions.list_project_versions", "polyaxon.cli.project_versions.delete_project_ver...
[((1164, 1177), 'click.group', 'click.group', ([], {}), '()\n', (1175, 1177), False, 'import click\n'), ((1179, 1246), 'click.option', 'click.option', (["*OPTIONS_PROJECT['args']"], {}), "(*OPTIONS_PROJECT['args'], **OPTIONS_PROJECT['kwargs'])\n", (1191, 1246), False, 'import click\n'), ((1248, 1327), 'click.option', '...
# Copyright (c) Microsoft Corporation and Fairlearn contributors. # Licensed under the MIT License. import functools import numpy as np from sklearn.metrics import recall_score from fairlearn.metrics._annotated_metric_function import AnnotatedMetricFunction def test_constructor_unnamed(): fc = AnnotatedMetricF...
[ "numpy.array_equal", "functools.partial", "fairlearn.metrics._annotated_metric_function.AnnotatedMetricFunction" ]
[((304, 357), 'fairlearn.metrics._annotated_metric_function.AnnotatedMetricFunction', 'AnnotatedMetricFunction', ([], {'func': 'recall_score', 'name': 'None'}), '(func=recall_score, name=None)\n', (327, 357), False, 'from fairlearn.metrics._annotated_metric_function import AnnotatedMetricFunction\n'), ((413, 478), 'num...
import discord import datetime, time from discord.ext import commands restart_data = { 'str': str(datetime.datetime.now().strftime("%d/%m/%Y %H:%M:%S")), 'obj': time.time() } #this is very important for creating a cog class UPTIME(commands.Cog): def __init__(self, bot): self.bot = bot @comma...
[ "discord.ext.commands.command", "discord.Embed", "discord.Color.red", "discord.Color.green", "discord.Color.blue", "discord.ext.commands.Cog.listener", "time.time", "discord.ext.commands.guild_only", "datetime.datetime.now" ]
[((172, 183), 'time.time', 'time.time', ([], {}), '()\n', (181, 183), False, 'import datetime, time\n'), ((315, 338), 'discord.ext.commands.Cog.listener', 'commands.Cog.listener', ([], {}), '()\n', (336, 338), False, 'from discord.ext import commands\n'), ((508, 539), 'discord.ext.commands.command', 'commands.command',...
import urllib.request from pymongo import MongoClient import pandas as pd import os import json class Wunderground: """Class that fetches weather from Wunderground and copies to MongoDB""" def __init__(self, dbc, sid, api): """ Initializes class """ self.dbc = dbc self...
[ "pymongo.MongoClient", "pandas.to_datetime", "json.loads" ]
[((1362, 1377), 'json.loads', 'json.loads', (['msg'], {}), '(msg)\n', (1372, 1377), False, 'import json\n'), ((3872, 3893), 'pymongo.MongoClient', 'MongoClient', (['self.dbc'], {}), '(self.dbc)\n', (3883, 3893), False, 'from pymongo import MongoClient\n'), ((1568, 1600), 'pandas.to_datetime', 'pd.to_datetime', (["ob['o...
# coding: utf-8 """ demo on forward 2D """ # Copyright (c) <NAME>. All Rights Reserved. # Distributed under the (new) BSD License. See LICENSE.txt for more info. from __future__ import absolute_import, division, print_function import matplotlib.pyplot as plt import numpy as np import pyeit.eit.protocol as protocol imp...
[ "pyeit.mesh.wrapper.PyEITAnomaly_Circle", "matplotlib.pyplot.show", "pyeit.eit.protocol.create", "pyeit.mesh.set_perm", "pyeit.eit.fem.Forward", "matplotlib.pyplot.figure", "numpy.real", "pyeit.mesh.create" ]
[((938, 995), 'pyeit.mesh.wrapper.PyEITAnomaly_Circle', 'PyEITAnomaly_Circle', ([], {'center': '[0.4, 0.5]', 'r': '(0.2)', 'perm': '(100.0)'}), '(center=[0.4, 0.5], r=0.2, perm=100.0)\n', (957, 995), False, 'from pyeit.mesh.wrapper import PyEITAnomaly_Circle\n'), ((1007, 1063), 'pyeit.mesh.set_perm', 'mesh.set_perm', (...
from .. components import OutputPitchWidget from .. import Defaults import json from kivy.properties import NumericProperty from kivy.properties import ListProperty from kivy.properties import ObjectProperty from kivy.properties import BooleanProperty from kivy.properties import StringProperty from kivy.core.window imp...
[ "kivy.properties.ListProperty", "json.load", "kivy.properties.BooleanProperty", "kivy.uix.button.Button", "kivy.uix.label.Label", "kivy.logger.Logger.info", "kivy.properties.NumericProperty" ]
[((735, 755), 'kivy.properties.NumericProperty', 'NumericProperty', (['(0.0)'], {}), '(0.0)\n', (750, 755), False, 'from kivy.properties import NumericProperty\n'), ((774, 791), 'kivy.properties.NumericProperty', 'NumericProperty', ([], {}), '()\n', (789, 791), False, 'from kivy.properties import NumericProperty\n'), (...
# coding: utf-8 # Raytheon BBN Technologies 2016 # Contributiors: <NAME> # # This file contains the windows, view, and scene descriptions from qtpy.QtGui import * from qtpy.QtCore import * from qtpy.QtSvg import * from qtpy.QtWidgets import * import glob import time import os import os.path import numpy as np from ....
[ "os.path.dirname", "ipdb.set_trace" ]
[((15543, 15559), 'ipdb.set_trace', 'ipdb.set_trace', ([], {}), '()\n', (15557, 15559), False, 'import ipdb\n'), ((14534, 14559), 'os.path.dirname', 'os.path.dirname', (['__file__'], {}), '(__file__)\n', (14549, 14559), False, 'import os\n')]
import pytest from dlms_cosem import enumerations from dlms_cosem.protocol.acse import ReleaseRequest class TestDecodeRLRQ: def test_simple(self): data = bytes.fromhex("6203800100") # Normal no user-information rlrq = ReleaseRequest.from_bytes(data) assert rlrq.reason == enumerations.Rel...
[ "dlms_cosem.protocol.acse.ReleaseRequest.from_bytes" ]
[((242, 273), 'dlms_cosem.protocol.acse.ReleaseRequest.from_bytes', 'ReleaseRequest.from_bytes', (['data'], {}), '(data)\n', (267, 273), False, 'from dlms_cosem.protocol.acse import ReleaseRequest\n'), ((715, 746), 'dlms_cosem.protocol.acse.ReleaseRequest.from_bytes', 'ReleaseRequest.from_bytes', (['data'], {}), '(data...
import os import time from dagster_graphql.client.query import LAUNCH_PIPELINE_EXECUTION_MUTATION from dagster_graphql.test.utils import execute_dagster_graphql, infer_pipeline_selector from dagster import execute_pipeline from dagster.utils import safe_tempfile_path from .graphql_context_test_suite import GraphQLCo...
[ "dagster_graphql.test.utils.infer_pipeline_selector", "os.path.exists", "dagster.execute_pipeline", "time.sleep", "dagster_graphql.test.utils.execute_dagster_graphql", "dagster.utils.safe_tempfile_path" ]
[((1034, 1100), 'dagster_graphql.test.utils.infer_pipeline_selector', 'infer_pipeline_selector', (['graphql_context', '"""infinite_loop_pipeline"""'], {}), "(graphql_context, 'infinite_loop_pipeline')\n", (1057, 1100), False, 'from dagster_graphql.test.utils import execute_dagster_graphql, infer_pipeline_selector\n'), ...
import torch from .ClauseEnhancer import ClauseEnhancer class KnowledgeEnhancer(torch.nn.Module): def __init__(self, predicates: [str], clauses: [str], initial_clause_weight=0.5, save_training_data=False, device=0): """Initialize the knowledge base. :param predicates: a list of predicates names ...
[ "torch.stack" ]
[((2565, 2597), 'torch.stack', 'torch.stack', (['scatter_deltas_list'], {}), '(scatter_deltas_list)\n', (2576, 2597), False, 'import torch\n')]
# Licensed to Elasticsearch B.V. under one or more contributor # license agreements. See the NOTICE file distributed with # this work for additional information regarding copyright # ownership. Elasticsearch B.V. licenses this file to you under # the Apache License, Version 2.0 (the "License"); you may # not use ...
[ "elasticsearch.Elasticsearch" ]
[((2746, 2766), 'elasticsearch.Elasticsearch', 'Elasticsearch', (['hosts'], {}), '(hosts)\n', (2759, 2766), False, 'from elasticsearch import Elasticsearch\n'), ((2595, 2624), 'elasticsearch.Elasticsearch', 'Elasticsearch', (["['es.org:123']"], {}), "(['es.org:123'])\n", (2608, 2624), False, 'from elasticsearch import ...
from collections import defaultdict import pickle from tqdm import tqdm class ReverseIndex: def __init__(self,docs, preprocessing): self.lookup = defaultdict(set) self.preprocess = preprocessing if docs is not None: for title,words in tqdm(docs): self.add(titl...
[ "collections.defaultdict", "tqdm.tqdm", "pickle.load", "pickle.dump" ]
[((161, 177), 'collections.defaultdict', 'defaultdict', (['set'], {}), '(set)\n', (172, 177), False, 'from collections import defaultdict\n'), ((279, 289), 'tqdm.tqdm', 'tqdm', (['docs'], {}), '(docs)\n', (283, 289), False, 'from tqdm import tqdm\n'), ((671, 698), 'pickle.dump', 'pickle.dump', (['self.lookup', 'f'], {}...
import numpy as np from scipy.spatial.distance import cdist # reference vector generation def das_dennis(n_part, n_obj): if n_part == 0: return np.full((1, n_obj), 1 / n_obj) else: ref_dirs = [] ref_dir = np.full(n_obj, np.nan) das_dennis_recursion(ref_dirs, ref_dir, n_part, n_p...
[ "numpy.full", "numpy.sum", "numpy.copy", "numpy.clip", "numpy.sort", "numpy.dot", "numpy.concatenate" ]
[((869, 897), 'numpy.dot', 'np.dot', (['ref_dirs', 'ref_dirs.T'], {}), '(ref_dirs, ref_dirs.T)\n', (875, 897), True, 'import numpy as np\n'), ((157, 187), 'numpy.full', 'np.full', (['(1, n_obj)', '(1 / n_obj)'], {}), '((1, n_obj), 1 / n_obj)\n', (164, 187), True, 'import numpy as np\n'), ((238, 260), 'numpy.full', 'np....
# Copyright (c) 2019 <NAME>. # Cura is released under the terms of the LGPLv3 or higher. ## Find_moveo ## from copy import deepcopy from typing import cast, Dict, List, Optional from UM.Application import Application from UM.Math.AxisAlignedBox import AxisAlignedBox from UM.Math.Polygon import Polygon # For typing. ...
[ "threading.Thread", "copy.deepcopy", "UM.Math.AxisAlignedBox.AxisAlignedBox", "cura.Settings.SettingOverrideDecorator.SettingOverrideDecorator", "UM.Application.Application.getInstance", "threading.Lock", "queue.Queue" ]
[((1178, 1194), 'threading.Lock', 'threading.Lock', ([], {}), '()\n', (1192, 1194), False, 'import threading\n'), ((1244, 1257), 'queue.Queue', 'queue.Queue', ([], {}), '()\n', (1255, 1257), False, 'import queue\n'), ((6877, 6927), 'UM.Math.AxisAlignedBox.AxisAlignedBox', 'AxisAlignedBox', ([], {'minimum': 'position', ...
import re import os from .newsBase import NewsBaseSrc from .newsResult import NewsResult class CnnIndo(NewsBaseSrc): def parse_url(self, url, date, page): return url + "?p=" + str(page) + "&date=" + date.strftime("%Y/%m/%d") def get_default_url(self): return "https://www.cnnindonesia.com/nas...
[ "re.sub", "re.search" ]
[((1869, 1910), 're.sub', 're.sub', (['"""\\\\(([^)]+)\\\\)$"""', '""""""', 'result_text'], {}), "('\\\\(([^)]+)\\\\)$', '', result_text)\n", (1875, 1910), False, 'import re\n'), ((1596, 1622), 're.search', 're.search', (['"""Gambas:"""', 'text'], {}), "('Gambas:', text)\n", (1605, 1622), False, 'import re\n'), ((1714,...
from discord.ext import commands from cogs.utils import game from cogs.utils.game import GamePlay from cogs.utils import views_solomode as views class Solomode(commands.Cog): def __init__(self, bot): self.bot = bot @commands.command() async def solo(self, ctx): result = {} i = 0...
[ "discord.ext.commands.command", "cogs.utils.game.generate_num", "cogs.utils.views_solomode.embed_gameclear", "cogs.utils.views_solomode.embed_start", "cogs.utils.views_solomode.embed_gameplay", "cogs.utils.game.GamePlay", "cogs.utils.views_solomode.embed_gameover" ]
[((236, 254), 'discord.ext.commands.command', 'commands.command', ([], {}), '()\n', (252, 254), False, 'from discord.ext import commands\n'), ((393, 412), 'cogs.utils.game.generate_num', 'game.generate_num', ([], {}), '()\n', (410, 412), False, 'from cogs.utils import game\n'), ((782, 826), 'cogs.utils.game.GamePlay', ...
from django.db import models from django.utils.timezone import now # Create your models here. SEDAN = "SEDAN" SUV = "SUV" WAGON = "WAGON" # (...) CAR_MODELS_CHOICES = ( (SEDAN, "Sedan"), (SUV, "SUV"), (WAGON, "WAGON"), ) # <HINT> Create a Car Make model `class CarMake(models.Model)`: class CarMake(model...
[ "django.db.models.CharField", "django.db.models.IntegerField", "django.db.models.ManyToManyField", "django.db.models.DateField" ]
[((341, 372), 'django.db.models.CharField', 'models.CharField', ([], {'max_length': '(30)'}), '(max_length=30)\n', (357, 372), False, 'from django.db import models\n'), ((391, 422), 'django.db.models.CharField', 'models.CharField', ([], {'max_length': '(30)'}), '(max_length=30)\n', (407, 422), False, 'from django.db im...
import torch import torch.nn as nn from typing import Optional from scipy import special import math from .utils import kld_gaussian, rand_epanechnikov_trig class GaussianDropout(nn.Module): def __init__(self, p=0.0, truncate=None): super().__init__() self.alpha = p / (1.0 - p) self.trunca...
[ "torch.numel", "scipy.special.loggamma", "torch.sqrt", "torch.fmod", "torch.abs", "torch.exp", "torch.Tensor", "torch.zeros", "math.log", "torch.sum", "torch.tensor" ]
[((3146, 3171), 'torch.exp', 'torch.exp', (['self.log_sigma'], {}), '(self.log_sigma)\n', (3155, 3171), False, 'import torch\n'), ((4266, 4291), 'torch.exp', 'torch.exp', (['self.log_sigma'], {}), '(self.log_sigma)\n', (4275, 4291), False, 'import torch\n'), ((958, 981), 'torch.zeros', 'torch.zeros', (['input_size'], {...
import PyPDF2 as p from translate import translator import os filename = 'sample.pdf' filename2 = 'output.pdf' try: file = open(filename, mode = "rb") except: print("File not Found, Please Enter Filename along with Directory [ex-Dowload/1.pdf]") def translate(): cur_lang = 'en' dest_lang = 'ko' try: dat...
[ "PyPDF2.PdfFileReader", "PyPDF2.PdfFileWriter.write", "translate.translator" ]
[((940, 984), 'PyPDF2.PdfFileWriter.write', 'p.PdfFileWriter.write', (['finle', 'translated_pdf'], {}), '(finle, translated_pdf)\n', (961, 984), True, 'import PyPDF2 as p\n'), ((324, 345), 'PyPDF2.PdfFileReader', 'p.PdfFileReader', (['file'], {}), '(file)\n', (339, 345), True, 'import PyPDF2 as p\n'), ((662, 698), 'tra...
from anvil.interfaces.maya.dependencies import DEFAULT_API import anvil.interfaces.api_proxy as api_proxy import anvil.config as cfg default_properties = { "layer": api_proxy.STR_TYPE, "name": api_proxy.STR_TYPE, "remove": api_proxy.BOOL_TYPE, "targetList": api_proxy.BOOL_TYPE, "weight": api_proxy....
[ "anvil.interfaces.api_proxy.merge_dicts" ]
[((529, 592), 'anvil.interfaces.api_proxy.merge_dicts', 'api_proxy.merge_dicts', (['api_proxy.BOOL_TYPE', '{cfg.DEFAULT: True}'], {}), '(api_proxy.BOOL_TYPE, {cfg.DEFAULT: True})\n', (550, 592), True, 'import anvil.interfaces.api_proxy as api_proxy\n'), ((930, 1045), 'anvil.interfaces.api_proxy.merge_dicts', 'api_proxy...
""" Django settings for angular_site project. Generated by 'django-admin startproject' using Django 2.2. For more information on this file, see https://docs.djangoproject.com/en/2.2/topics/settings/ For the full list of settings and their values, see https://docs.djangoproject.com/en/2.2/ref/settings/ """ import da...
[ "os.path.abspath", "environ.Env.read_env", "datetime.timedelta", "os.path.join", "environ.Env" ]
[((519, 567), 'environ.Env', 'environ.Env', ([], {'ALLOWED_HOSTS': "(list, ['127.0.0.1'])"}), "(ALLOWED_HOSTS=(list, ['127.0.0.1']))\n", (530, 567), False, 'import datetime, environ, os, ldap\n'), ((579, 607), 'environ.Env.read_env', 'environ.Env.read_env', (['""".env"""'], {}), "('.env')\n", (599, 607), False, 'import...
import re from django.http import HttpResponse, Http404 from mauveinternet.markdown import get_models, get_model # This needs to be added to the URL configuration as /admin/markdown/links # so that the Javascript can find it. def links(request): """Returns a list of the models and instances of that model that...
[ "mauveinternet.markdown.get_model", "mauveinternet.markdown.get_models", "django.http.Http404" ]
[((747, 778), 'mauveinternet.markdown.get_model', 'get_model', (["request.GET['model']"], {}), "(request.GET['model'])\n", (756, 778), False, 'from mauveinternet.markdown import get_models, get_model\n'), ((824, 833), 'django.http.Http404', 'Http404', ([], {}), '()\n', (831, 833), False, 'from django.http import HttpRe...
""" Quinitc Polynomials Planner author: <NAME> (@Atsushi_twi) Ref: - [Local Path Planning And Motion Control For Agv In Positioning](http://ieeexplore.ieee.org/document/637936/) """ import numpy as np import matplotlib.pyplot as plt import math # parameter MAX_T = 100.0 # maximum time to the goal [s] MIN_T = 5....
[ "matplotlib.pyplot.show", "matplotlib.pyplot.plot", "math.atan2", "math.radians", "matplotlib.pyplot.axis", "math.sin", "numpy.hypot", "numpy.arange", "math.cos", "numpy.array", "matplotlib.pyplot.cla", "matplotlib.pyplot.pause", "numpy.linalg.solve", "matplotlib.pyplot.grid" ]
[((2750, 2780), 'numpy.arange', 'np.arange', (['MIN_T', 'MAX_T', 'MIN_T'], {}), '(MIN_T, MAX_T, MIN_T)\n', (2759, 2780), True, 'import numpy as np\n'), ((5052, 5070), 'math.radians', 'math.radians', (['(10.0)'], {}), '(10.0)\n', (5064, 5070), False, 'import math\n'), ((5251, 5269), 'math.radians', 'math.radians', (['(2...
import turtle turtle.mode("logo") turtle.shape("turtle") turtle.bgcolor("black") turtle.pensize(7) turtle.colormode(255) turtle.pencolor(157, 208, 228) for i in range(4): turtle.pu() turtle.setpos(30*i, 0) turtle.pd() turtle.forward(80) turtle.done()
[ "turtle.shape", "turtle.pensize", "turtle.mode", "turtle.done", "turtle.colormode", "turtle.pd", "turtle.forward", "turtle.pu", "turtle.setpos", "turtle.bgcolor", "turtle.pencolor" ]
[((15, 34), 'turtle.mode', 'turtle.mode', (['"""logo"""'], {}), "('logo')\n", (26, 34), False, 'import turtle\n'), ((35, 57), 'turtle.shape', 'turtle.shape', (['"""turtle"""'], {}), "('turtle')\n", (47, 57), False, 'import turtle\n'), ((58, 81), 'turtle.bgcolor', 'turtle.bgcolor', (['"""black"""'], {}), "('black')\n", ...
# -*- coding: utf-8 -*- # Generated by Django 1.9.7 on 2016-11-27 17:09 from __future__ import unicode_literals from django.conf import settings from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): initial = True dependencies = [ migration...
[ "django.db.migrations.swappable_dependency", "django.db.models.ForeignKey", "django.db.models.CharField", "django.db.models.FloatField", "django.db.models.AutoField", "django.db.models.ImageField", "django.db.models.IntegerField", "django.db.models.DateTimeField" ]
[((311, 368), 'django.db.migrations.swappable_dependency', 'migrations.swappable_dependency', (['settings.AUTH_USER_MODEL'], {}), '(settings.AUTH_USER_MODEL)\n', (342, 368), False, 'from django.db import migrations, models\n'), ((3031, 3120), 'django.db.models.ForeignKey', 'models.ForeignKey', ([], {'on_delete': 'djang...
from __future__ import absolute_import from __future__ import division from __future__ import print_function from __future__ import unicode_literals import unittest from hypothesis import assume, given import hypothesis.strategies as st import numpy as np from caffe2.proto import caffe2_pb2 from caffe2.python import ...
[ "unittest.main", "unittest.skipIf", "caffe2.python.hypothesis_test_util.tensor", "numpy.ones", "hypothesis.strategies.booleans", "caffe2.python.core.CreateOperator", "hypothesis.strategies.floats" ]
[((430, 495), 'unittest.skipIf', 'unittest.skipIf', (['(not workspace.C.use_mkldnn)', '"""No MKLDNN support."""'], {}), "(not workspace.C.use_mkldnn, 'No MKLDNN support.')\n", (445, 495), False, 'import unittest\n'), ((1467, 1524), 'unittest.skipIf', 'unittest.skipIf', (['(True)', '"""Skip duo to different rand seed.""...
#!/usr/bin/env python """Tests the Netstat client action.""" from absl import app from grr_response_client.client_actions import network from grr_response_core.lib.rdfvalues import client_action as rdf_client_action from grr.test_lib import client_test_lib from grr.test_lib import test_lib class NetstatActionTest(c...
[ "grr_response_core.lib.rdfvalues.client_action.ListNetworkConnectionsArgs", "absl.app.run", "grr.test_lib.test_lib.main" ]
[((1017, 1036), 'grr.test_lib.test_lib.main', 'test_lib.main', (['argv'], {}), '(argv)\n', (1030, 1036), False, 'from grr.test_lib import test_lib\n'), ((1068, 1081), 'absl.app.run', 'app.run', (['main'], {}), '(main)\n', (1075, 1081), False, 'from absl import app\n'), ((516, 562), 'grr_response_core.lib.rdfvalues.clie...
# Copyright (c) Facebook, Inc. and its affiliates. # # This source code is licensed under the MIT license found in the # LICENSE file in the root directory of this source tree. import re import textwrap import tokenize from collections import deque from dataclasses import dataclass from enum import Enum from io import...
[ "io.BytesIO", "fixit.common.line_mapping.LineMappingInfo.compute", "textwrap.wrap", "re.sub", "dataclasses.dataclass" ]
[((689, 723), 'dataclasses.dataclass', 'dataclass', ([], {'frozen': '(True)', 'order': '(True)'}), '(frozen=True, order=True)\n', (698, 723), False, 'from dataclasses import dataclass\n'), ((3449, 3471), 'dataclasses.dataclass', 'dataclass', ([], {'frozen': '(True)'}), '(frozen=True)\n', (3458, 3471), False, 'from data...
# -*- coding: utf-8 -*- __author__ = '<NAME>' __email__ = '<EMAIL>' __version__ = '0.6.4' from . import layers from . import preprocessing from . import utils from . import data from . import initializers from . import losses from . import metrics from . import eval_metrics from . import regularizers from . import hy...
[ "logging.Formatter", "logging.StreamHandler", "keras.utils.generic_utils.get_custom_objects", "logging.getLogger" ]
[((883, 951), 'logging.Formatter', 'logging.Formatter', (['"""%(levelname)s:%(asctime)s:%(name)s] %(message)s"""'], {}), "('%(levelname)s:%(asctime)s:%(name)s] %(message)s')\n", (900, 951), False, 'import logging\n'), ((962, 990), 'logging.getLogger', 'logging.getLogger', (['"""concise"""'], {}), "('concise')\n", (979,...
# TODO: remove this once WPILib is public, and use the real thing import sys import pytest from unittest.mock import MagicMock def pytest_runtest_setup(): pass def pytest_runtest_teardown(): pass @pytest.fixture(scope="function") def wpimock(monkeypatch): mock = MagicMock(name="wpimock") monkeyp...
[ "pytest.fixture", "unittest.mock.MagicMock" ]
[((213, 245), 'pytest.fixture', 'pytest.fixture', ([], {'scope': '"""function"""'}), "(scope='function')\n", (227, 245), False, 'import pytest\n'), ((381, 413), 'pytest.fixture', 'pytest.fixture', ([], {'scope': '"""function"""'}), "(scope='function')\n", (395, 413), False, 'import pytest\n'), ((731, 763), 'pytest.fixt...
from threading import Thread, current_thread, RLock from typing import NamedTuple, Callable, List, Optional from utils.libs.chatbridge.common.logger import ChatBridgeLogger from .cryptor import AESCryptor class Address(NamedTuple): hostname: str port: int def __str__(self): return '{}:{}'.format(self.hostname,...
[ "threading.Thread", "threading.RLock", "threading.current_thread" ]
[((677, 684), 'threading.RLock', 'RLock', ([], {}), '()\n', (682, 684), False, 'from threading import Thread, current_thread, RLock\n'), ((994, 1048), 'threading.Thread', 'Thread', ([], {'target': 'target', 'args': '()', 'name': 'name', 'daemon': '(True)'}), '(target=target, args=(), name=name, daemon=True)\n', (1000, ...
import torch import torch.nn as nn from torchvision import models import os class MRnet(nn.Module): """MRnet uses pretrained resnet50 as a backbone to extract features, this is multilabel classifying model """ def __init__(self): # add conf file super(MRnet,self).__init__() # init th...
[ "torch.nn.AdaptiveAvgPool2d", "torchvision.models.alexnet", "torch.cat", "torch.squeeze", "torch.max", "torch.nn.Linear" ]
[((567, 590), 'torch.nn.AdaptiveAvgPool2d', 'nn.AdaptiveAvgPool2d', (['(1)'], {}), '(1)\n', (587, 590), True, 'import torch.nn as nn\n'), ((619, 642), 'torch.nn.AdaptiveAvgPool2d', 'nn.AdaptiveAvgPool2d', (['(1)'], {}), '(1)\n', (639, 642), True, 'import torch.nn as nn\n'), ((672, 695), 'torch.nn.AdaptiveAvgPool2d', 'n...
from unittest.mock import MagicMock, patch from scheduleServer import app import unittest from helperFunctions.helperFunctions import stdRet, AuthenticatedUser class TestStaff_importStaff(unittest.TestCase): def setUp(self): # Set up a number of items that will be used for these tests. # -- Mock...
[ "unittest.mock.MagicMock", "scheduleServer.app.test_client", "unittest.mock.patch.dict", "helperFunctions.helperFunctions.AuthenticatedUser", "unittest.mock.patch", "scheduleServer.app.login_manager.init_app" ]
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# Python imports import unittest import numpy as np import os import shutil import xarray as xr import pytest import oggm from scipy import optimize as optimization salem = pytest.importorskip('salem') gpd = pytest.importorskip('geopandas') # Locals import oggm.cfg as cfg from oggm import tasks, utils, workflow from ...
[ "oggm.tasks.init_present_time_glacier", "oggm.core.centerlines.compute_centerlines", "oggm.core.centerlines.catchment_width_correction", "numpy.sum", "oggm.cfg.initialize", "numpy.polyfit", "numpy.abs", "oggm.core.centerlines.compute_downstream_bedshape", "xarray.zeros_like", "oggm.core.centerline...
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#!/usr/bin/env python3 # Copyright © 2018 Broadcom. All Rights Reserved. The term “Broadcom” refers to # Broadcom Inc. and/or its subsidiaries. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may also obtain a copy of the Lice...
[ "pyfos.pyfos_auth.login", "pyfos.pyfos_util.response_print", "pyfos.pyfos_util.is_failed_resp", "pyfos.utils.brcd_util.generic_input", "pyfos.utils.brcd_util.exit_register", "pyfos.pyfos_brocade_operation_license.license", "pyfos.pyfos_auth.is_failed_login", "pyfos.utils.brcd_util.full_usage", "pyfo...
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# coding=utf-8 # Copyright 2021 The Google Research Authors. # # 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 applicab...
[ "autoregressive_diffusion.utils.util_fns.sum_except_batch", "absl.logging.info", "jax.lax.axis_index", "autoregressive_diffusion.model.autoregressive_diffusion.ardm_utils.get_batch_permutations", "autoregressive_diffusion.model.autoregressive_diffusion.ardm_utils.get_selections_for_sigma_and_range", "jax....
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# Copyright 2018 SAP SE # # Licensed under the Apache License, Version 2.0 (the "License"); you may # not use this file except in compliance with the License. You may obtain # a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software ...
[ "oslo_log.log.getLogger", "six.iteritems", "octavia_f5.restclient.as3exceptions.RequiredKeyMissingException" ]
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""" Copyright (c) 2021, Electric Power Research Institute 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 li...
[ "pandas.DataFrame", "numpy.multiply", "cvxpy.Parameter", "cvxpy.multiply", "cvxpy.Zero", "storagevet.Library.drop_extra_data", "storagevet.ValueStreams.ValueStream.ValueStream.__init__", "cvxpy.promote", "cvxpy.NonPos", "cvxpy.sum", "storagevet.Library.fill_extra_data", "pandas.Period", "cvx...
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import numpy as np import tensorflow as tf # the activation function def g_1(x): assert len(x.shape) == 1 rand = tf.random_uniform([x.shape.as_list()[0]], dtype=tf.float32) t = tf.nn.sigmoid(x) - rand return 0.5*(1 + t / (tf.abs(t) + 1e-8)) def g_2(x): return tf.nn.sigmoid(x) def g(x): ret...
[ "numpy.uint8", "tensorflow.abs", "tensorflow.global_variables_initializer", "numpy.zeros", "tensorflow.Session", "tensorflow.matmul", "tensorflow.placeholder", "numpy.random.randint", "numpy.array", "tensorflow.global_variables", "numpy.random.rand", "tensorflow.train.GradientDescentOptimizer"...
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# -*- coding: utf-8 -*- import os import sys from setuptools import find_packages, setup # temporarily redirect config directory to prevent matplotlib importing # testing that for writeable directory which results in sandbox error in # certain easy_install versions os.environ["MPLCONFIGDIR"] = "." pkg_name = "tsget...
[ "setuptools.find_packages", "os.system", "sys.exit" ]
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import os from django.apps import AppConfig from ctf.settings import * class SystemConfig(AppConfig): name = 'system' verbose_name = open(os.path.join(BASE_DIR, 'ctf', 'eventname'), 'r').read().strip()
[ "os.path.join" ]
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