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# Lint as: python2, python3 # Copyright 2019 Google LLC. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # https://www.apache.org/licenses/LICENSE-2.0 # # Unless re...
[ "subprocess.check_output", "tensorflow.python.platform.app.run", "google.protobuf.text_format.Parse", "requests.post", "argparse.ArgumentParser", "tensorflow_transform.tf_metadata.schema_utils.schema_as_feature_spec", "json.dumps", "tensorflow.python.lib.io.file_io.read_file_to_string", "tensorflow_...
[((1670, 1720), 'tensorflow_transform.tf_metadata.dataset_schema.from_feature_spec', 'dataset_schema.from_feature_spec', (['raw_feature_spec'], {}), '(raw_feature_spec)\n', (1702, 1720), False, 'from tensorflow_transform.tf_metadata import dataset_schema\n'), ((1730, 1770), 'tensorflow_transform.coders.ExampleProtoCode...
#!/usr/bin/env python """Test checkpoint-like periodic snapshots. We test that there are that many folders and that the currentStep changes. """ import mirheo as mir u = mir.Mirheo(nranks=(1, 1, 1), domain=(4, 6, 8), debug_level=3, log_filename='log', no_splash=True, checkpoint_every=1...
[ "mirheo.Interactions.Pairwise", "mirheo.Integrators.Minimize", "mirheo.Mirheo", "mirheo.ParticleVectors.ParticleVector", "mirheo.InitialConditions.Uniform" ]
[((174, 420), 'mirheo.Mirheo', 'mir.Mirheo', ([], {'nranks': '(1, 1, 1)', 'domain': '(4, 6, 8)', 'debug_level': '(3)', 'log_filename': '"""log"""', 'no_splash': '(True)', 'checkpoint_every': '(10)', 'checkpoint_mode': '"""Incremental"""', 'checkpoint_folder': '"""periodic_snapshots/snapshot_"""', 'checkpoint_mechanism'...
from abc import ABC, abstractmethod from typing import Optional from xml import dom import numpy as np import pandas as pd from .utils import get_factors_rev def calc_plot_size(domain_x, domain_y, plot_goal, house_goal): f1 = sorted(get_factors_rev(domain_x)) f2 = sorted(get_factors_rev(domain_y)) plot_...
[ "numpy.tile", "numpy.ceil", "numpy.where", "numpy.floor", "numpy.zeros", "numpy.savetxt", "numpy.concatenate", "pandas.DataFrame", "numpy.full", "numpy.pad" ]
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#!/usr/bin/env python3 # -*- config: utf-8 -*- from tkinter import * from random import random def on_click(): x = random() y = random() bt1.place(relx=x, rely=y) root = Tk() root['bg'] = 'white' root.title('crown') img = PhotoImage(file='crown.png') bt1 = Button(image=img, command=on_click) bt1.place...
[ "random.random" ]
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from django.core.exceptions import ValidationError from django.core.validators import validate_email from django.template import Template, TemplateSyntaxError, TemplateDoesNotExist from django.utils.encoding import force_str def validate_email_with_name(value): """ Validate email address. Both "<NAME> <<...
[ "django.utils.encoding.force_str", "django.template.Template", "django.core.validators.validate_email", "django.core.exceptions.ValidationError" ]
[((374, 390), 'django.utils.encoding.force_str', 'force_str', (['value'], {}), '(value)\n', (383, 390), False, 'from django.utils.encoding import force_str\n'), ((588, 613), 'django.core.validators.validate_email', 'validate_email', (['recipient'], {}), '(recipient)\n', (602, 613), False, 'from django.core.validators i...
# Input DOI / URL import re import sys # Pyperclip is not built-in, check and download if needed try: import pyperclip except (ImportError, ModuleNotFoundError): print('Pyperclip module not found. Please download it.') sys.exit(0) # Regex for links link_regex = re.compile(r'''( http[s]?:// (?:[a-...
[ "pyperclip.paste", "sys.exit", "re.match", "re.compile" ]
[((277, 450), 're.compile', 're.compile', (['"""(\n http[s]?://\n (?:[a-zA-Z]|\n [0-9]|\n [$-_@.&+]|\n [!*\\\\(\\\\),]|\n (?:%[0-9a-fA-F][0-9a-fA-F]))+\n )"""', '(re.IGNORECASE | re.VERBOSE)'], {}), '(\n """(\n http[s]?://\n (?:[a-zA-Z]|\n [0-9]|\n [$-_@.&+]|\n [!*\\\\(\\\\),]|\n ...
import os import sys import logging import time import argparse import numpy as np from collections import OrderedDict import scripts.options as option import utils.util as util from data.util import bgr2ycbcr from data import create_dataset, create_dataloader from models import create_model # options parser = argpar...
[ "logging.getLogger", "utils.util.calculate_ssim", "utils.util.tensor2img", "argparse.ArgumentParser", "scripts.options.dict2str", "collections.OrderedDict", "scripts.options.dict_to_nonedict", "utils.util.saveEXRfromMatrix", "utils.util.mkdir", "utils.util.tensor2exr", "utils.util.calculate_psnr...
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from api import db from uuid import uuid4 from ariadne import MutationType from api.models import Post from api.store import queues mutation = MutationType() @mutation.field("createPost") async def create_post_resolver(obj, info, input): try: post = Post(postId=uuid4(), caption=input["caption"]) ...
[ "api.db.session.commit", "api.db.session.add", "uuid.uuid4", "ariadne.MutationType" ]
[((145, 159), 'ariadne.MutationType', 'MutationType', ([], {}), '()\n', (157, 159), False, 'from ariadne import MutationType\n'), ((320, 340), 'api.db.session.add', 'db.session.add', (['post'], {}), '(post)\n', (334, 340), False, 'from api import db\n'), ((349, 368), 'api.db.session.commit', 'db.session.commit', ([], {...
import abc from typing import TypeVar, Generic, List, Dict T = TypeVar('T') class CRUDInterface(Generic[T], metaclass=abc.ABCMeta): @abc.abstractmethod def all(self) -> List[T]: pass @abc.abstractmethod def one_by_id(self, entity_id: int) -> T: pass @abc.abstractmethod def ...
[ "typing.TypeVar" ]
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# Copyright 2015 Huawei Technologies Co., Ltd. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applica...
[ "mistral.context.ctx", "six.text_type", "mistral.api.controllers.v2.resources.Services", "mistral.service.coordination.get_service_coordinator", "wsmeext.pecan.wsexpose", "mistral.exceptions.CoordinationException", "mistral.api.controllers.v2.resources.Service.from_dict", "oslo_log.log.getLogger" ]
[((1153, 1180), 'oslo_log.log.getLogger', 'logging.getLogger', (['__name__'], {}), '(__name__)\n', (1170, 1180), True, 'from oslo_log import log as logging\n'), ((1282, 1321), 'wsmeext.pecan.wsexpose', 'wsme_pecan.wsexpose', (['resources.Services'], {}), '(resources.Services)\n', (1301, 1321), True, 'import wsmeext.pec...
from setuptools import setup setup( name="greek-utils", version="0.2", description="various utilities for processing Ancient Greek", license="MIT", url="http://github.com/jtauber/greek-utils", author="<NAME>", author_email="<EMAIL>", packages=["greekutils"], classifiers=[ "D...
[ "setuptools.setup" ]
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""" tweet stuff in intervals """ import time import datetime import twitter from markov_chains import german_text from config import config_no, config_yes MAX_TWEET_LENGTH = 280 greeting = ' Sehr geehrte/r Anstragssteller/in.' ending = ' MfG' num_tweets = 3 class FoiaBot: def __init__(self, config): s...
[ "time.strptime", "time.mktime", "datetime.datetime.now", "twitter.Api", "markov_chains.german_text.setup_model" ]
[((330, 553), 'twitter.Api', 'twitter.Api', ([], {'consumer_key': "config['consumer_key']", 'consumer_secret': "config['consumer_secret']", 'access_token_key': "config['access_token']", 'access_token_secret': "config['access_token_secret']", 'sleep_on_rate_limit': '(True)'}), "(consumer_key=config['consumer_key'], cons...
from django.conf import settings from netaddr import mac_unix, mac_eui48 import importlib import warnings class mac_linux(mac_unix): """MAC format with zero-padded all upper-case hex and colon separated""" word_fmt = '%.2X' def default_dialect(eui_obj=None): # Check to see if a default dialect class has...
[ "warnings.warn", "django.conf.settings.MACADDRESS_DEFAULT_DIALECT.split", "pkg_resources.get_distribution", "importlib.import_module" ]
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from django.db import models from utils.models import BaseModel from users.models import User, Address from goods.models import GoodsSKU # Create your models here. class OrderInfo(BaseModel): """订单信息""" PAY_METHOD = ['1', '2'] PAY_METHOD_CHOICES = ( (1, "货到付款"), (2, "支付宝"), ) OR...
[ "django.db.models.TextField", "django.db.models.IntegerField", "django.db.models.ForeignKey", "django.db.models.SmallIntegerField", "django.db.models.DecimalField", "django.db.models.CharField" ]
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import os from pathlib import Path from typing import Any, Dict from determined.common import util MASTER_SCHEME = "http" MASTER_IP = "localhost" MASTER_PORT = "8080" DET_VERSION = None DEFAULT_MAX_WAIT_SECS = 1800 MAX_TASK_SCHEDULED_SECS = 30 MAX_TRIAL_BUILD_SECS = 90 DEFAULT_TF1_CPU_IMAGE = "determinedai/environm...
[ "os.path.dirname", "determined.common.util.safe_load_yaml_with_exceptions", "os.environ.get", "pathlib.Path" ]
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from django.contrib.contenttypes.models import ContentType from rest_framework import serializers, exceptions from greenbudget.lib.rest_framework_utils.fields import ModelChoiceField from greenbudget.lib.rest_framework_utils.serializers import ( EnhancedModelSerializer) from greenbudget.app.budget.models import B...
[ "rest_framework.serializers.DateTimeField", "rest_framework.serializers.IntegerField", "rest_framework.serializers.PrimaryKeyRelatedField", "django.contrib.contenttypes.models.ContentType.objects.get_for_model", "greenbudget.lib.rest_framework_utils.fields.ModelChoiceField", "greenbudget.app.common.serial...
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import contextlib import logging import typing from typing import Any, Dict, Tuple import attr from dbnd._core.configuration import get_dbnd_project_config from dbnd._core.constants import ( RESULT_PARAM, DbndTargetOperationStatus, DbndTargetOperationType, TaskRunState, ) from dbnd._core.current impo...
[ "logging.getLogger", "dbnd._core.tracking.script_tracking_manager.try_get_inplace_tracking_task_run", "dbnd._core.current.current_task_run", "dbnd._core.utils.callable_spec.args_to_kwargs", "targets.values.get_value_type_of_obj", "dbnd._core.current.is_verbose", "dbnd._core.task_build.task_definition.Ta...
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import os import logging from json import loads, dumps from datetime import timedelta from argparse import ArgumentParser from redis import Redis from flask import Response, Flask, request app = Flask(__name__) log = logging.getLogger(__name__) parser = ArgumentParser() parser.add_argument("-a", "--address", ...
[ "logging.getLogger", "json.loads", "argparse.ArgumentParser", "flask.Flask", "json.dumps", "redis.Redis", "flask.request.headers.get" ]
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""" 启动此 spider 前需要手动启动 Chrome,cmd 命令如下: cd 进入 Chrome 可执行文件 所在的目录 执行:chrome.exe --remote-debugging-port=9222 此时在浏览器窗口地址栏访问:http://127.0.0.1:9222/json,如果页面出现 json 数据,则表明手动启动成功 启动此 spider 后,注意与命令行交互! 在 settings 当中要做的: # ROBOTSTXT_OBEY = False # 如果不关闭,parse 方法无法执行 # COOKIES_ENABLED = True # 以便 Request 值在传递时自动传递 cookies...
[ "ZhihuSpider.items.ZhihuAnswerItem", "json.loads", "ZhihuSpider.items.ZhihuQuestionItem", "re.match", "datetime.datetime.now", "scrapy.Request", "ZhihuSpider.utils.browsezhihu.get_cookies", "urllib.parse.urljoin" ]
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import nose import angr import logging l = logging.getLogger("angr.tests.test_bindiff") import os test_location = os.path.join(os.path.dirname(os.path.realpath(__file__)), '..', '..', 'binaries', 'tests') # todo make a better test def test_bindiff_x86_64(): binary_path_1 = os.path.join(test_location, 'x86_64', '...
[ "logging.getLogger", "angr.Project", "os.path.join", "os.path.realpath", "nose.tools.assert_in" ]
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from pathlib import Path BASE_DIR = Path(__file__).resolve().parent.parent # def handle_uploaded_file(f): # with open('screenshot.png', 'wb') as destination: # # for chunk in f.chunks(): # # destination.write(chunk) # destination.write(f) with open( BASE_DIR/'media'/'Greater_coat...
[ "pathlib.Path" ]
[((38, 52), 'pathlib.Path', 'Path', (['__file__'], {}), '(__file__)\n', (42, 52), False, 'from pathlib import Path\n')]
#!/usr/bin/env python3 # # Copyright 2018 Google LLC # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law ...
[ "aiohttp.web.run_app", "os.getenv", "aiohttp.web.Response", "capstone.Cs", "aiohttp.web.Application", "asyncio.Queue", "gdbproc.GDBProcess.create", "aiohttp.web.get", "asyncio.gather", "socketio.AsyncServer", "asyncio.get_event_loop" ]
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from django.core.urlresolvers import reverse from sentry.models import Project from sentry.testutils import APITestCase class ProjectDetailsTest(APITestCase): def test_simple(self): project = self.project # force creation self.login_as(user=self.user) url = reverse('sentry-api-0-project-d...
[ "sentry.models.Project.objects.filter", "sentry.models.Project.objects.get", "django.core.urlresolvers.reverse" ]
[((289, 363), 'django.core.urlresolvers.reverse', 'reverse', (['"""sentry-api-0-project-details"""'], {'kwargs': "{'project_id': project.id}"}), "('sentry-api-0-project-details', kwargs={'project_id': project.id})\n", (296, 363), False, 'from django.core.urlresolvers import reverse\n'), ((669, 743), 'django.core.urlres...
# encoding: utf-8 """Unit-test suite for `pptx.table` module.""" import pytest from pptx.dml.fill import FillFormat from pptx.dml.border import BorderFormat from pptx.enum.text import MSO_ANCHOR from pptx.oxml.ns import qn from pptx.oxml.table import CT_Table, CT_TableCell, TcRange from pptx.shapes.graphfrm import G...
[ "pptx.table._Cell", "pptx.table._CellCollection", "pptx.table._RowCollection", "pptx.table._ColumnCollection", "pptx.oxml.ns.qn", "pytest.raises", "pytest.fixture", "pptx.util.Inches", "pptx.table.Table", "pptx.util.Pt" ]
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from serial import Serial from tqdm import tqdm import binascii import hashlib import struct import time import sys import os def if_read(ser, data_len): data = bytearray(0) received = 0 while received < data_len: tmp = ser.read(data_len - received) if len(tmp) == 0: ...
[ "hashlib.sha256", "binascii.hexlify", "tqdm.tqdm", "struct.pack", "time.sleep", "os.path.realpath", "struct.unpack", "serial.Serial", "sys.exit" ]
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import random def estimate_pi(sims, needles): trials = [] for _ in xrange(sims): trials.append(simulate_pi(needles)) mean = sum(trials) / sims return mean # use a unit square def simulate_pi(needles): hits = 0 # how many hits we hit the circle for _ in xrange(needles): x = ran...
[ "random.uniform" ]
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#!/usr/bin/env python3 # # This file is part of the MicroPython project, http://micropython.org/ # # The MIT License (MIT) # # Copyright (c) 2019 <NAME> # # 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 t...
[ "makeqstrdata.qstr_escape", "re.search", "argparse.ArgumentParser", "makeqstrdata.static_qstr_list.index", "re.match", "elftools.elf.elffile.ELFFile", "struct.pack", "os.path.dirname", "struct.pack_into", "sys.exit", "struct.unpack_from" ]
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from PyQt4 import QtGui from ui_mant_libros_new import NewLibrosWindow from ui_mant_libros_edit import EditLibrosWindow from ui_mant_libros_id_edit import GetIdEditWindow # Debug only import inspect class MenuLibros(QtGui.QWidget): """ Ventana-menu para editar Libros """ def __init__(self): ...
[ "ui_mant_libros_new.NewLibrosWindow", "PyQt4.QtGui.QApplication", "inspect.stack", "PyQt4.QtGui.QPushButton", "ui_mant_libros_id_edit.GetIdEditWindow", "PyQt4.QtGui.QIcon", "PyQt4.QtGui.QVBoxLayout", "PyQt4.QtGui.QHBoxLayout" ]
[((2188, 2216), 'PyQt4.QtGui.QApplication', 'QtGui.QApplication', (['sys.argv'], {}), '(sys.argv)\n', (2206, 2216), False, 'from PyQt4 import QtGui\n'), ((658, 684), 'PyQt4.QtGui.QPushButton', 'QtGui.QPushButton', (['"""Nuevo"""'], {}), "('Nuevo')\n", (675, 684), False, 'from PyQt4 import QtGui\n'), ((780, 807), 'PyQt4...
import logging import re from anime_downloader.extractors.base_extractor import BaseExtractor from anime_downloader.sites import helpers logger = logging.getLogger(__name__) class VidStream(BaseExtractor): def _get_data(self): QUALITIES = { "360":[], "480":[], "720":[], "10...
[ "logging.getLogger", "anime_downloader.sites.helpers.get", "re.search" ]
[((147, 174), 'logging.getLogger', 'logging.getLogger', (['__name__'], {}), '(__name__)\n', (164, 174), False, 'import logging\n'), ((410, 426), 'anime_downloader.sites.helpers.get', 'helpers.get', (['url'], {}), '(url)\n', (421, 426), False, 'from anime_downloader.sites import helpers\n'), ((585, 606), 'anime_download...
# Copyright © 2020 Province of British Columbia # # 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 agr...
[ "registry_schemas.validate", "copy.deepcopy" ]
[((921, 948), 'copy.deepcopy', 'copy.deepcopy', (['SEARCH_QUERY'], {}), '(SEARCH_QUERY)\n', (934, 948), False, 'import copy\n'), ((1195, 1232), 'registry_schemas.validate', 'validate', (['query', '"""searchQuery"""', '"""ppr"""'], {}), "(query, 'searchQuery', 'ppr')\n", (1203, 1232), False, 'from registry_schemas impor...
""" Module to contain Pywork decorators """ __author__ = '<NAME>' import re import time import itertools import logging log = logging.getLogger(__name__)
[ "logging.getLogger" ]
[((129, 156), 'logging.getLogger', 'logging.getLogger', (['__name__'], {}), '(__name__)\n', (146, 156), False, 'import logging\n')]
from __future__ import unicode_literals import pytest from django.test import TestCase from rest_framework import status from rest_framework.authentication import BasicAuthentication from rest_framework.decorators import ( action, api_view, authentication_classes, detail_route, list_route, parser_classes, per...
[ "rest_framework.decorators.renderer_classes", "rest_framework.decorators.permission_classes", "rest_framework.decorators.list_route", "rest_framework.decorators.authentication_classes", "rest_framework.decorators.api_view", "rest_framework.response.Response", "rest_framework.decorators.throttle_classes"...
[((856, 875), 'rest_framework.test.APIRequestFactory', 'APIRequestFactory', ([], {}), '()\n', (873, 875), False, 'from rest_framework.test import APIRequestFactory\n'), ((997, 1064), 'rest_framework.views.APIView.finalize_response', 'APIView.finalize_response', (['self', 'request', 'response', '*args'], {}), '(self, re...
# Copyright (c) 2020, <NAME>, Honda Research Institute Europe GmbH, and # Technical University of Darmstadt. # All rights reserved. # # Redistribution and use in source and binary forms, with or without # modification, are permitted provided that the following conditions are met: # 1. Redistributions of source code mus...
[ "pyrado.tasks.sequential.SequentialTasks", "numpy.array", "pyrado.tasks.final_reward.FinalRewMode", "numpy.add.at", "pyrado.tasks.condition_only.ConditionOnlyTask", "numpy.empty", "numpy.concatenate", "pyrado.ValueErr", "pyrado.tasks.masked.MaskedTask", "pyrado.spaces.box.BoxSpace", "pyrado.spac...
[((6388, 6439), 'os.path.join', 'osp.join', (['pyrado.MUJOCO_ASSETS_DIR', 'graph_file_name'], {}), '(pyrado.MUJOCO_ASSETS_DIR, graph_file_name)\n', (6396, 6439), True, 'import os.path as osp\n'), ((7273, 7351), 'numpy.concatenate', 'np.concatenate', (['[self.init_qpos, self.init_qvel, init_ball_pos, init_cup_goal]'], {...
# pyRasp # Copyright (c) <NAME> 2020. Licensed under MIT. # requirement : # Python 3 # pip install pyyaml # pip install request # pip install f90nml from downloadGFSA import downloadGFSA from prepare_wps import prepare_wps from ungrib import ungrib from metgrid import metgrid from prepare_wrf import prepare_wrf fro...
[ "real.real", "prepare_wrf.prepare_wrf", "ungrib.ungrib", "prepare_wps.prepare_wps", "downloadGFSA.downloadGFSA", "metgrid.metgrid", "wrf.wrf" ]
[((369, 387), 'downloadGFSA.downloadGFSA', 'downloadGFSA', (['(True)'], {}), '(True)\n', (381, 387), False, 'from downloadGFSA import downloadGFSA\n'), ((388, 407), 'prepare_wps.prepare_wps', 'prepare_wps', (['result'], {}), '(result)\n', (399, 407), False, 'from prepare_wps import prepare_wps\n'), ((408, 416), 'ungrib...
import pandas as pd import ta from app.common import reshape_data from app.strategies.base_strategy import BaseStrategy pd.set_option("display.max_columns", None) pd.set_option("display.width", None) class EMABBAlligatorStrategy(BaseStrategy): BUY_SIGNAL = "buy_signal" SELL_SIGNAL = "sell_signal" def c...
[ "ta.momentum.AwesomeOscillatorIndicator", "pandas.set_option" ]
[((122, 164), 'pandas.set_option', 'pd.set_option', (['"""display.max_columns"""', 'None'], {}), "('display.max_columns', None)\n", (135, 164), True, 'import pandas as pd\n'), ((165, 201), 'pandas.set_option', 'pd.set_option', (['"""display.width"""', 'None'], {}), "('display.width', None)\n", (178, 201), True, 'import...
import numpy as np import matplotlib.pyplot as plt from scipy import stats from sklearn.linear_model import ARDRegression, LinearRegression # Parameters of the example np.random.seed(0) n_samples, n_features = 100, 100 # Create Gaussian data X = np.random.randn(n_samples, n_features) # Create weights with a precision...
[ "numpy.sqrt", "sds.distributions.lingauss.SingleOutputLinearGaussianWithKnownPrecision", "matplotlib.pyplot.ylabel", "sklearn.linear_model.ARDRegression", "copy.deepcopy", "numpy.atleast_2d", "matplotlib.pyplot.xlabel", "matplotlib.pyplot.plot", "sds.distributions.gaussian.GaussianWithKnownMeanAndDi...
[((170, 187), 'numpy.random.seed', 'np.random.seed', (['(0)'], {}), '(0)\n', (184, 187), True, 'import numpy as np\n'), ((248, 286), 'numpy.random.randn', 'np.random.randn', (['n_samples', 'n_features'], {}), '(n_samples, n_features)\n', (263, 286), True, 'import numpy as np\n'), ((352, 372), 'numpy.zeros', 'np.zeros',...
#!/usr/bin/python3 import os import json import re import ast import json from graphviz import Digraph import pandas as pd # color the graph import graph_tool.all as gt import copy import matplotlib.colors as mcolors import sys import utils from tompkins.ilp import schedule, jobs_when_where from collections import d...
[ "os.listdir", "os.path.join", "graph_tool.all.Graph", "tompkins.ilp.jobs_when_where", "tompkins.ilp.schedule", "matplotlib.colors.CSS4_COLORS.keys", "pulp.value", "collections.defaultdict", "graphviz.Digraph", "pulp.GUROBI_CMD", "time.time" ]
[((626, 647), 'os.listdir', 'os.listdir', (['stats_dir'], {}), '(stats_dir)\n', (636, 647), False, 'import os\n'), ((1123, 1167), 'os.path.join', 'os.path.join', (['stats_dir', 'f"""{benchmark}.iopt"""'], {}), "(stats_dir, f'{benchmark}.iopt')\n", (1135, 1167), False, 'import os\n'), ((2469, 2513), 'os.path.join', 'os....
import datetime as dt import logging from babel import Locale, UnknownLocaleError from babel.dates import format_datetime, format_time, format_date import pytz from tzlocal import get_localzone from . import settings logger = logging.getLogger(__name__) class LocaleHelper: """Helpers for converting date & tim...
[ "logging.getLogger", "pytz.timezone", "babel.dates.format_time", "tzlocal.get_localzone", "babel.dates.format_date", "babel.Locale.parse", "babel.dates.format_datetime", "babel.Locale.default" ]
[((230, 257), 'logging.getLogger', 'logging.getLogger', (['__name__'], {}), '(__name__)\n', (247, 257), False, 'import logging\n'), ((2602, 2661), 'babel.dates.format_date', 'format_date', (['my_datetime'], {'format': '"""full"""', 'locale': 'self.locale'}), "(my_datetime, format='full', locale=self.locale)\n", (2613, ...
import signal class KillableProcess(object): def __init__(self): self.interrupt = False signal.signal(signal.SIGTERM, self._signal_handler) signal.signal(signal.SIGINT, self._signal_handler) def _signal_handler(self, sign, frame): self.interrupt = True
[ "signal.signal" ]
[((110, 161), 'signal.signal', 'signal.signal', (['signal.SIGTERM', 'self._signal_handler'], {}), '(signal.SIGTERM, self._signal_handler)\n', (123, 161), False, 'import signal\n'), ((170, 220), 'signal.signal', 'signal.signal', (['signal.SIGINT', 'self._signal_handler'], {}), '(signal.SIGINT, self._signal_handler)\n', ...
# # Copyright (c) 2016 <NAME> <<EMAIL>> # # 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, ...
[ "behem0th.utils.read_file_seq", "json.loads", "select.select", "behem0th.log.error", "os.rename", "base64.b64encode", "json.dumps", "base64.b64decode", "behem0th.log.info_v", "behem0th.log.info", "os.mkdir", "tempfile.NamedTemporaryFile", "queue.Queue", "behem0th.log.warn", "os.remove" ]
[((5172, 5185), 'queue.Queue', 'queue.Queue', ([], {}), '()\n', (5183, 5185), False, 'import queue\n'), ((5679, 5745), 'behem0th.log.info', 'log.info', (['"""Connected to {0}:{1}"""', 'self.address[0]', 'self.address[1]'], {}), "('Connected to {0}:{1}', self.address[0], self.address[1])\n", (5687, 5745), False, 'from b...
from django.utils.translation import gettext from wagtail.admin.rich_text.editors.draftail import features as draftail_features from wagtail.core import hooks from .richtext import KaTeXEntityElementHandler, katex_entity_decorator @hooks.register('register_rich_text_features') def register_katex_features(features):...
[ "wagtail.core.hooks.register", "django.utils.translation.gettext" ]
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''' Copyright 2017 Dell Inc. or its subsidiaries. All Rights Reserved. This script tests arbitrary payload of the RackHD API 2.0 OS bootstrap workflows. The default case is running a minimum payload Windows OS install. Other Windows-type OS install cases can be specified by creating a payload file and specifiying it u...
[ "fit_common.cancel_active_workflows", "json.loads", "datetime.datetime.fromtimestamp", "nose.plugins.attrib.attr", "fit_common.unittest.main", "fit_common.json.dumps", "json.dumps", "flogging.get_loggers", "time.time", "fit_common.fitcfg", "fit_common.time.sleep", "fit_common.rackhdapi", "fi...
[((1983, 2005), 'flogging.get_loggers', 'flogging.get_loggers', ([], {}), '()\n', (2003, 2005), False, 'import flogging\n'), ((5096, 5111), 'nose.plugins.attrib.attr', 'attr', ([], {'all': '(False)'}), '(all=False)\n', (5100, 5111), False, 'from nose.plugins.attrib import attr\n'), ((7596, 7628), 'nosedep.depends', 'de...
from flask import Flask, render_template from flask_ask import Ask, statement import random app = Flask(__name__) ask = Ask(app, '/') @ask.intent('RandomNumber', convert={'lowerLimit': int, 'upperLimit': int}) def hello(lowerLimit, upperLimit): if lowerLimit == None: lowerLimit = 0 if upperLimit == None: upperL...
[ "flask.render_template", "flask_ask.Ask", "flask.Flask", "flask_ask.statement", "random.randint" ]
[((99, 114), 'flask.Flask', 'Flask', (['__name__'], {}), '(__name__)\n', (104, 114), False, 'from flask import Flask, render_template\n'), ((121, 134), 'flask_ask.Ask', 'Ask', (['app', '"""/"""'], {}), "(app, '/')\n", (124, 134), False, 'from flask_ask import Ask, statement\n'), ((341, 379), 'random.randint', 'random.r...
import numpy as np import pybullet as p import itertools from robot import Robot class World(): def __init__(self): # create the physics simulator self.physicsClient = p.connect(p.GUI) p.setGravity(0,0,-9.81) self.max_communication_distance = 2.0 # We will int...
[ "pybullet.resetDebugVisualizerCamera", "robot.Robot", "pybullet.loadSDF", "pybullet.connect", "pybullet.setGravity", "pybullet.setPhysicsEngineParameter", "pybullet.changeDynamics", "numpy.linalg.norm", "pybullet.stepSimulation", "pybullet.resetBasePositionAndOrientation", "pybullet.loadURDF" ]
[((194, 210), 'pybullet.connect', 'p.connect', (['p.GUI'], {}), '(p.GUI)\n', (203, 210), True, 'import pybullet as p\n'), ((219, 244), 'pybullet.setGravity', 'p.setGravity', (['(0)', '(0)', '(-9.81)'], {}), '(0, 0, -9.81)\n', (231, 244), True, 'import pybullet as p\n'), ((386, 437), 'pybullet.setPhysicsEngineParameter'...
""" 입력 예시 3 16 출력 예시 3 5 7 11 13 """ import math left, right = map(int, input().split()) array = [True for i in range(right+1)] array[1] = 0 for i in range(2, int(math.sqrt(right)) + 1): if array[i] == True: j = 2 while i * j <= right: array[i * j] = False j += 1 for i in...
[ "math.sqrt" ]
[((166, 182), 'math.sqrt', 'math.sqrt', (['right'], {}), '(right)\n', (175, 182), False, 'import math\n')]
# Copyright 2015 The TensorFlow Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applica...
[ "tensorflow.tools.quantization.quantize_graph.set_attr_dtype", "tensorflow.python.framework.importer.import_graph_def", "numpy.array", "tensorflow.tools.quantization.quantize_graph.quantize_weight_eightbit", "tensorflow.core.framework.graph_pb2.GraphDef", "numpy.reshape", "tensorflow.tools.quantization....
[((1481, 1496), 'tensorflow.python.framework.ops.Graph', 'ops_lib.Graph', ([], {}), '()\n', (1494, 1496), True, 'from tensorflow.python.framework import ops as ops_lib\n'), ((1888, 1908), 'tensorflow.core.framework.graph_pb2.GraphDef', 'graph_pb2.GraphDef', ([], {}), '()\n', (1906, 1908), False, 'from tensorflow.core.f...
# -*- coding: utf-8 -*- # Generated by Django 1.11.10 on 2018-04-26 09:14 import colorfield.fields from django.db import migrations, models import django.db.models.deletion import giscube.utils class Migration(migrations.Migration): initial = True dependencies = [ ('giscube', '0002_update'), ]...
[ "django.db.models.DateField", "django.db.models.TextField", "django.db.models.IntegerField", "django.db.models.ForeignKey", "django.db.models.FileField", "django.db.models.BooleanField", "django.db.models.AutoField", "django.db.models.DecimalField", "django.db.models.CharField" ]
[((450, 543), 'django.db.models.AutoField', 'models.AutoField', ([], {'auto_created': '(True)', 'primary_key': '(True)', 'serialize': '(False)', 'verbose_name': '"""ID"""'}), "(auto_created=True, primary_key=True, serialize=False,\n verbose_name='ID')\n", (466, 543), False, 'from django.db import migrations, models\...
# -*- coding: utf-8 -*- # Generated by Django 1.10.6 on 2017-06-09 03:01 from __future__ import unicode_literals from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('extensions', '0011_auto_20170502_0908'), ] operations = [ migrations.AlterF...
[ "django.db.models.CharField" ]
[((413, 465), 'django.db.models.CharField', 'models.CharField', ([], {'default': '"""imports/"""', 'max_length': '(255)'}), "(default='imports/', max_length=255)\n", (429, 465), False, 'from django.db import migrations, models\n')]
''' multi-threading (python3 version) https://docs.python.org/3/library/threading.html ''' from time import clock import threading THREADS=2 lock = threading.Lock() A = 0 B = 0 C = 0 def test_globals(): global A, B, C for i in range(1024*1024): lock.acquire() A += 1 B += 2 C = A + B lock.release() def...
[ "threading.Lock", "threading.Thread", "time.clock" ]
[((150, 166), 'threading.Lock', 'threading.Lock', ([], {}), '()\n', (164, 166), False, 'import threading\n'), ((377, 384), 'time.clock', 'clock', ([], {}), '()\n', (382, 384), False, 'from time import clock\n'), ((431, 477), 'threading.Thread', 'threading.Thread', ([], {'target': 'test_globals', 'args': '()'}), '(targe...
import numpy as np class Board: """ 0 - black 1 - white """ def __init__(self): board = [ [0, 1] * 4, [1, 0] * 4 ] * 4 players_board = [ [0, 1] * 4, # player 1 [1, 0] * 4 ] + [[0] * 8] * 4 + [ # 4 rows of nothing [0, 2] * 4, # player 2 [2, 0] * 4 ] se...
[ "numpy.array" ]
[((331, 346), 'numpy.array', 'np.array', (['board'], {}), '(board)\n', (339, 346), True, 'import numpy as np\n'), ((372, 395), 'numpy.array', 'np.array', (['players_board'], {}), '(players_board)\n', (380, 395), True, 'import numpy as np\n')]
# # This file is part of LiteX-Boards. # # Copyright (c) 2017-2019 <NAME> <<EMAIL>> # SPDX-License-Identifier: BSD-2-Clause from litex.build.generic_platform import * from litex.build.xilinx import XilinxPlatform, VivadoProgrammer # IOs ---------------------------------------------------------------------------------...
[ "litex.build.xilinx.XilinxPlatform.__init__", "litex.build.xilinx.VivadoProgrammer", "litex.build.xilinx.XilinxPlatform.do_finalize" ]
[((18029, 18124), 'litex.build.xilinx.XilinxPlatform.__init__', 'XilinxPlatform.__init__', (['self', '"""xcku040-ffva1156-2-e"""', '_io', '_connectors'], {'toolchain': '"""vivado"""'}), "(self, 'xcku040-ffva1156-2-e', _io, _connectors,\n toolchain='vivado')\n", (18052, 18124), False, 'from litex.build.xilinx import ...
import os import traceback class InputHandler: IMAGES_PARENT_FOLDER = './images' def __init__(self): filesList = [] def listFiles(self,path=''): if path != '': self.IMAGES_PARENT_FOLDER = path try: self.listFiles = [os.path.join(self.IMAGES_PAREN...
[ "traceback.print_exec", "os.listdir", "os.path.join" ]
[((290, 340), 'os.path.join', 'os.path.join', (['self.IMAGES_PARENT_FOLDER', 'imageFile'], {}), '(self.IMAGES_PARENT_FOLDER, imageFile)\n', (302, 340), False, 'import os\n'), ((357, 394), 'os.listdir', 'os.listdir', (['self.IMAGES_PARENT_FOLDER'], {}), '(self.IMAGES_PARENT_FOLDER)\n', (367, 394), False, 'import os\n'),...
import os import tmdbsimple as tmdb import media import fresh_tomatoes as ft movies = [] if os.environ.get('TMDB_API', False): # Retrieve API KEY tmdb.API_KEY = os.environ['TMDB_API'] # TMDB Movie Ids movie_ids = [271110, 297761, 246655, 278154, 135397, 188927] # Get Configuration configurat...
[ "fresh_tomatoes.open_movies_page", "tmdbsimple.Configuration", "os.environ.get", "media.Movie", "tmdbsimple.Movies" ]
[((94, 127), 'os.environ.get', 'os.environ.get', (['"""TMDB_API"""', '(False)'], {}), "('TMDB_API', False)\n", (108, 127), False, 'import os\n'), ((4683, 4710), 'fresh_tomatoes.open_movies_page', 'ft.open_movies_page', (['movies'], {}), '(movies)\n', (4702, 4710), True, 'import fresh_tomatoes as ft\n'), ((1066, 1087), ...
# -*- coding: utf-8 -*- # Form implementation generated from reading ui file './elements_ui.ui', # licensing of './elements_ui.ui' applies. # # Created: Wed Jun 16 14:29:03 2021 # by: pyside2-uic running on PySide2 5.13.2 # # WARNING! All changes made in this file will be lost! from PySide2 import QtCore, QtGui...
[ "PySide2.QtCore.QMetaObject.connectSlotsByName", "PySide2.QtGui.QIcon", "PySide2.QtWidgets.QSizePolicy", "PySide2.QtWidgets.QTableView", "PySide2.QtWidgets.QStatusBar", "PySide2.QtGui.QPixmap", "PySide2.QtWidgets.QFrame", "PySide2.QtWidgets.QHBoxLayout", "PySide2.QtCore.QRect", "PySide2.QtCore.QSi...
[((531, 564), 'PySide2.QtWidgets.QWidget', 'QtWidgets.QWidget', (['ElementsWindow'], {}), '(ElementsWindow)\n', (548, 564), False, 'from PySide2 import QtCore, QtGui, QtWidgets\n'), ((655, 696), 'PySide2.QtWidgets.QVBoxLayout', 'QtWidgets.QVBoxLayout', (['self.centralwidget'], {}), '(self.centralwidget)\n', (676, 696),...
from tanim.utils.config_ops import digest_config from tanim.utils.iterables import list_update # Currently, this is only used by both Scene and Mobject. # Still, we abstract its functionality here, albeit purely nominally. # All actual implementation has to be handled by derived classes for now. class Container(obj...
[ "tanim.utils.config_ops.digest_config", "tanim.utils.iterables.list_update" ]
[((368, 395), 'tanim.utils.config_ops.digest_config', 'digest_config', (['self', 'kwargs'], {}), '(self, kwargs)\n', (381, 395), False, 'from tanim.utils.config_ops import digest_config\n'), ((619, 658), 'tanim.utils.iterables.list_update', 'list_update', (['self.submobjects', 'mobjects'], {}), '(self.submobjects, mobj...
import numpy as np from pysz import compress, decompress def test_compress_decompress(): a = np.linspace(0, 100, num=1000000).reshape((100, 100, 100)).astype(np.float32) tolerance = 0.0001 compressed = compress(a, tolerance=tolerance) recovered = decompress(compressed, a.shape, a.dtype) asse...
[ "pysz.decompress", "numpy.linspace", "pysz.compress", "numpy.allclose" ]
[((216, 248), 'pysz.compress', 'compress', (['a'], {'tolerance': 'tolerance'}), '(a, tolerance=tolerance)\n', (224, 248), False, 'from pysz import compress, decompress\n'), ((266, 306), 'pysz.decompress', 'decompress', (['compressed', 'a.shape', 'a.dtype'], {}), '(compressed, a.shape, a.dtype)\n', (276, 306), False, 'f...
import json from sparkdq.outliers.params.OutlierSolverParams import OutlierSolverParams from sparkdq.outliers.OutlierSolver import OutlierSolver class KSigmaParams(OutlierSolverParams): def __init__(self, deviation=1.5): self.deviation = deviation def model(self): return OutlierSolver.kSigm...
[ "json.loads" ]
[((382, 402), 'json.loads', 'json.loads', (['json_str'], {}), '(json_str)\n', (392, 402), False, 'import json\n')]
import re from setuptools import setup, find_packages import sys if sys.version_info < (3, 5): raise 'must use Python version 3.5 or higher' with open('./gmailapi_backend/__init__.py', 'r') as f: MATCH_EXPR = "__version__[^'\"]+(['\"])([^'\"]+)" VERSION = re.search(MATCH_EXPR, f.read()).group(2).strip() ...
[ "setuptools.find_packages" ]
[((398, 413), 'setuptools.find_packages', 'find_packages', ([], {}), '()\n', (411, 413), False, 'from setuptools import setup, find_packages\n')]
"""Script to ensure a configuration file exists.""" import argparse import os import openpeerpower.config as config_util from openpeerpower.core import OpenPeerPower # mypy: allow-untyped-calls, allow-untyped-defs def run(args): """Handle ensure config commandline script.""" parser = argparse.ArgumentParser...
[ "os.makedirs", "argparse.ArgumentParser", "os.getcwd", "openpeerpower.core.OpenPeerPower", "os.path.isdir", "openpeerpower.config.async_ensure_config_exists", "openpeerpower.config.get_default_config_dir" ]
[((297, 406), 'argparse.ArgumentParser', 'argparse.ArgumentParser', ([], {'description': '"""Ensure a Open Peer Power config exists, creates one if necessary."""'}), "(description=\n 'Ensure a Open Peer Power config exists, creates one if necessary.')\n", (320, 406), False, 'import argparse\n'), ((998, 1013), 'openp...
#!/bin/env python from black import main import spacy import json from spacy import displacy import unidecode import pandas as pd import numpy as np import os csv_source = "scripts/spacy_files/data/thesis_200_with_school.csv" df = pd.read_csv(csv_source) df = df[df['isScan']==False] df = df.sort_values('isScan', asce...
[ "json.load", "pandas.read_csv", "unidecode.unidecode" ]
[((233, 256), 'pandas.read_csv', 'pd.read_csv', (['csv_source'], {}), '(csv_source)\n', (244, 256), True, 'import pandas as pd\n'), ((465, 480), 'json.load', 'json.load', (['file'], {}), '(file)\n', (474, 480), False, 'import json\n'), ((701, 727), 'unidecode.unidecode', 'unidecode.unidecode', (['text1'], {}), '(text1)...
from django.db import models from django import forms from audit_log.models.managers import AuditLog # Create your models here. class Port(models.Model): name = models.CharField(max_length=250) port = models.CharField(max_length=250) description = models.TextField(blank=True) audit_log = AuditLog()...
[ "django.db.models.TextField", "audit_log.models.managers.AuditLog", "django.db.models.CharField" ]
[((169, 201), 'django.db.models.CharField', 'models.CharField', ([], {'max_length': '(250)'}), '(max_length=250)\n', (185, 201), False, 'from django.db import models\n'), ((213, 245), 'django.db.models.CharField', 'models.CharField', ([], {'max_length': '(250)'}), '(max_length=250)\n', (229, 245), False, 'from django.d...
import tensorflow as tf import json import math import cv2 import time import argparse import concurrent.futures import posenet import keyboard import sys import numpy as np from threading import Thread from slugify import slugify parser = argparse.ArgumentParser() parser.add_argument('--model', type=int, default=101)...
[ "argparse.ArgumentParser", "posenet.draw_skel_and_kp", "math.sqrt", "posenet.read_cap", "keyboard.is_pressed", "cv2.imshow", "time.sleep", "posenet.load_model", "cv2.waitKey", "cv2.destroyAllWindows", "cv2.VideoCapture", "time.time", "tensorflow.compat.v1.Session" ]
[((241, 266), 'argparse.ArgumentParser', 'argparse.ArgumentParser', ([], {}), '()\n', (264, 266), False, 'import argparse\n'), ((6386, 6456), 'math.sqrt', 'math.sqrt', (['((pointB[0] - pointA[0]) ** 2 + (pointB[1] - pointA[1]) ** 2)'], {}), '((pointB[0] - pointA[0]) ** 2 + (pointB[1] - pointA[1]) ** 2)\n', (6395, 6456)...
# 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 # distrib...
[ "otcextensions.sdk.dcs.v1.restore.Restore.existing", "random.choice", "otcextensions.sdk.dcs.v1.statistic.Statistic.existing", "mock.Mock", "otcextensions.sdk.dcs.v1.config.Config.existing", "uuid.uuid4", "otcextensions.sdk.dcs.v1.instance.Instance.existing", "otcextensions.sdk.dcs.v1.backup.Backup.ex...
[((1083, 1094), 'mock.Mock', 'mock.Mock', ([], {}), '()\n', (1092, 1094), False, 'import mock\n'), ((1181, 1192), 'mock.Mock', 'mock.Mock', ([], {}), '()\n', (1190, 1192), False, 'import mock\n'), ((1229, 1240), 'mock.Mock', 'mock.Mock', ([], {}), '()\n', (1238, 1240), False, 'import mock\n'), ((1273, 1284), 'mock.Mock...
# -*- coding:utf-8 -*- # Copyright (c) 2020 Huawei Technologies Co.,Ltd. # # openGauss is licensed under Mulan PSL v2. # You can use this software according to the terms # and conditions of the Mulan PSL v2. # You may obtain a copy of Mulan PSL v2 at: # # http://license.coscl.org.cn/MulanPSL2 # # THIS SOFTWARE...
[ "subprocess.getstatusoutput" ]
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import subprocess from .Genome_fasta import get_fasta import matplotlib matplotlib.use('Agg') from matplotlib import pyplot as plt import numpy as np import pysam def run(parser): args = parser.parse_args() bases,chrs = get_fasta(args.genome) l={} for c in chrs: l[c]=len(bases[c]) chrs = se...
[ "matplotlib.pyplot.savefig", "argparse.ArgumentParser", "matplotlib.use", "matplotlib.pyplot.pie", "pysam.AlignmentFile", "numpy.array", "matplotlib.pyplot.figure", "numpy.zeros", "matplotlib.pyplot.axis", "matplotlib.pyplot.subplot", "numpy.arange" ]
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#!/usr/bin/env python3 # Copyright 2016 <NAME> # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or ...
[ "potty_oh.common.get_cmd_line_parser", "potty_oh.common.ParserArguments.length", "potty_oh.common.ParserArguments.filename", "potty_oh.waveform.mix_down", "potty_oh.common.call_main", "potty_oh.common.ParserArguments.set_defaults", "potty_oh.signal_generator.Generator", "potty_oh.common.ParserArgument...
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from dataclasses import dataclass from hrepr import H from hrepr import hrepr as real_hrepr from hrepr.h import styledir from .common import one_test_per_assert css_hrepr = open(f"{styledir}/hrepr.css", encoding="utf-8").read() hrepr = real_hrepr.variant(fill_resources=False) @dataclass class Point: x: int ...
[ "hrepr.H.raw", "hrepr.H.div", "hrepr.hrepr", "hrepr.H.meta", "hrepr.hrepr.page", "hrepr.H.b", "hrepr.hrepr.variant", "hrepr.H.style" ]
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import numpy as np from unittest import TestCase import numpy.testing as npt from distancematrix.util import diag_indices_of from distancematrix.consumer.distance_matrix import DistanceMatrix class TestContextualMatrixProfile(TestCase): def setUp(self): self.dist_matrix = np.array([ [8.67, 1...
[ "numpy.atleast_2d", "numpy.testing.assert_equal", "numpy.full_like", "distancematrix.util.diag_indices_of", "numpy.array", "distancematrix.consumer.distance_matrix.DistanceMatrix", "numpy.full" ]
[((289, 1251), 'numpy.array', 'np.array', (['[[8.67, 1.1, 1.77, 1.26, 1.91, 4.29, 6.32, 4.24, 4.64, 5.06, 6.41, 4.07, \n 4.67, 9.32, 5.09], [4.33, 4.99, 0.14, 2.79, 2.1, 6.26, 9.4, 4.14, 5.53,\n 4.26, 8.21, 5.91, 6.83, 9.26, 6.19], [0.16, 9.05, 1.35, 4.78, 7.01, \n 4.36, 5.24, 8.81, 7.9, 5.84, 8.9, 7.88, 3.37,...
"""Constants file for Supervisor.""" from enum import Enum from ipaddress import ip_network from pathlib import Path SUPERVISOR_VERSION = "DEV" URL_HASSIO_ADDONS = "https://github.com/home-assistant/addons" URL_HASSIO_APPARMOR = "https://version.home-assistant.io/apparmor.txt" URL_HASSIO_VERSION = "https://version.ho...
[ "ipaddress.ip_network", "pathlib.Path" ]
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import torch import torch.nn as nn import os import torch.nn.functional as F class LDS(nn.Module): def __init__(self,): super(LDS, self).__init__() self.pool1 = nn.MaxPool2d(kernel_size=(2, 2), stride=2, padding=0) self.pool2 = nn.MaxPool2d(kernel_size=(2, 2), stride=2, padding=0) ...
[ "torch.nn.functional.upsample", "torch.nn.BatchNorm2d", "torch.nn.ReLU", "torch.nn.Softmax", "torch.nn.ModuleList", "torch.load", "os.path.splitext", "torch.nn.Conv2d", "torch.nn.MaxPool2d", "torch.cat" ]
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from __future__ import (absolute_import, division, print_function, unicode_literals) from builtins import (ascii, bytes, chr, dict, filter, hex, input, int, map, next, oct, open, pow, range, round, str, super, zip) from ...._utils import send_session_request from ..._PortalEndpointBase import Por...
[ "builtins.super" ]
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from unittest import TestCase import numpy as np from robustnessgym.cachedops.spacy import Spacy from robustnessgym.slicebuilders.subpopulations.length import LengthSubpopulation from tests.testbeds import MockTestBedv0 class TestLengthSubpopulation(TestCase): def setUp(self): self.testbed = MockTestBed...
[ "tests.testbeds.MockTestBedv0", "robustnessgym.cachedops.spacy.Spacy", "numpy.array", "robustnessgym.cachedops.spacy.Spacy.retrieve", "robustnessgym.slicebuilders.subpopulations.length.LengthSubpopulation" ]
[((309, 324), 'tests.testbeds.MockTestBedv0', 'MockTestBedv0', ([], {}), '()\n', (322, 324), False, 'from tests.testbeds import MockTestBedv0\n'), ((490, 537), 'robustnessgym.slicebuilders.subpopulations.length.LengthSubpopulation', 'LengthSubpopulation', ([], {'intervals': '[(1, 3), (4, 5)]'}), '(intervals=[(1, 3), (4...
import json from astroquery.vizier import Vizier with open("Jankowski_2018_raw.txt", "r") as raw_file: lines = raw_file.readlines() print(lines) pulsar_dict = {} for row in lines[3:]: row = row.split("|") print(row) pulsar = row[0].strip().replace("−", "-") freqs = [] fluxs = [] flux_e...
[ "json.dumps" ]
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# Copyright (c) 2019 Leiden University Medical Center # # 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...
[ "pathlib.Path" ]
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#!/usr/bin/env python3 # Copyright (c) 2016 Anki, 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 in the file LICENSE.txt or at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unles...
[ "aiohttp.web.run_app", "sys.exit", "cozmo.logger.warning", "aiohttp.web.Response", "aiohttp.web.Application", "cozmo.connect_on_loop", "cozmo.setup_basic_logging", "re.search" ]
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# -*- coding: utf-8 -*- """ Created on Fri May 30 17:15:27 2014 @author: Parke """ from __future__ import division, print_function, absolute_import import numpy as np import matplotlib as mplot import matplotlib.pyplot as plt import mypy.my_numpy as mnp dpi = 100 fullwidth = 10.0 halfwidth = 5.0 # use these with li...
[ "numpy.log10", "numpy.sqrt", "numpy.array", "numpy.sin", "mypy.my_numpy.inranges", "mayavi.mlab.view", "numpy.isscalar", "numpy.asarray", "numpy.diff", "numpy.max", "numpy.issubdtype", "numpy.linspace", "mayavi.mlab.quiver3d", "matplotlib.pyplot.axis", "numpy.abs", "numpy.allclose", ...
[((1184, 1196), 'numpy.array', 'np.array', (['xy'], {}), '(xy)\n', (1192, 1196), True, 'import numpy as np\n'), ((1998, 2009), 'numpy.log10', 'np.log10', (['x'], {}), '(x)\n', (2006, 2009), True, 'import numpy as np\n'), ((2378, 2395), 'numpy.asarray', 'np.asarray', (['edges'], {}), '(edges)\n', (2388, 2395), True, 'im...
from django.shortcuts import render,redirect from django.http import HttpResponse,HttpResponseRedirect from django.views import generic from django.contrib.auth.decorators import login_required from django.utils.decorators import method_decorator from .models import Character,Comic,Power,CharacterPower,CharacterComic f...
[ "django.shortcuts.render", "django.http.HttpResponse", "django.utils.decorators.method_decorator", "django.shortcuts.redirect", "django.urls.reverse_lazy" ]
[((792, 841), 'django.utils.decorators.method_decorator', 'method_decorator', (['login_required'], {'name': '"""dispatch"""'}), "(login_required, name='dispatch')\n", (808, 841), False, 'from django.utils.decorators import method_decorator\n'), ((1187, 1236), 'django.utils.decorators.method_decorator', 'method_decorato...
"""Set-up and execute the main loop""" import RPi.GPIO as GPIO import time GPIO.setmode(GPIO.BCM) GPIO.setwarnings(False) #Right motor input A GPIO.setup(18,GPIO.OUT) #Right motor input B GPIO.setup(23,GPIO.OUT) GPIO.output(18,GPIO.HIGH) GPIO.output(23,GPIO.LOW)
[ "RPi.GPIO.setup", "RPi.GPIO.setwarnings", "RPi.GPIO.output", "RPi.GPIO.setmode" ]
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import pymysql # 连接配置信息 config = { 'host': '127.0.0.1', 'port': 3306, 'user': 'root', 'password': '', 'db': 'classdata', 'charset': 'utf8', 'cursorclass': pymysql.cursors.DictCursor, } def get_summary_db(unitag): # 创建连接 conn = pymysql.connect(**config) cur = conn.cursor() ...
[ "pymysql.connect" ]
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# Copyright 2019 Google LLC # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # https://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing,...
[ "tempfile.TemporaryDirectory", "importlib.import_module", "os.path.join", "sys.exit", "pyiree.tf.compiler.tf_load_saved_model" ]
[((949, 986), 'importlib.import_module', 'importlib.import_module', (['"""tensorflow"""'], {}), "('tensorflow')\n", (972, 986), False, 'import importlib\n'), ((1225, 1236), 'sys.exit', 'sys.exit', (['(0)'], {}), '(0)\n', (1233, 1236), False, 'import sys\n'), ((1765, 1794), 'tempfile.TemporaryDirectory', 'tempfile.Tempo...
#!/usr/bin/env python3 """ script for calculating gc skew <NAME> <EMAIL> """ # python modules import os import sys import argparse import numpy as np from scipy import signal from itertools import cycle, product # plotting modules from matplotlib import use as mplUse mplUse('Agg') import matplotlib.pyplot as plt fr...
[ "ctbBio.fasta.iterate_fasta", "itertools.cycle", "numpy.ones", "argparse.ArgumentParser", "matplotlib.use", "itertools.product", "numpy.asarray", "scipy.signal.fftconvolve", "matplotlib.pyplot.suptitle", "matplotlib.pyplot.close", "matplotlib.rc", "matplotlib.pyplot.title", "matplotlib.pyplo...
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import os import json import shutil with open("entry.tp") as entry: entry = json.loads(entry.read()) startcmd = entry['plugin_start_cmd'].split("%TP_PLUGIN_FOLDER%")[1].split("\\") filedirectory = startcmd[0] fileName = startcmd[1] if os.path.exists(filedirectory): os.remove(os.path.join(os.getcwd(), "Wi...
[ "os.path.exists", "os.listdir", "shutil.make_archive", "os.makedirs", "os.rename", "os.path.join", "os.getcwd" ]
[((246, 275), 'os.path.exists', 'os.path.exists', (['filedirectory'], {}), '(filedirectory)\n', (260, 275), False, 'import os\n'), ((389, 404), 'os.listdir', 'os.listdir', (['"""."""'], {}), "('.')\n", (399, 404), False, 'import os\n'), ((664, 713), 'os.rename', 'os.rename', (['"""dist\\\\Main.exe"""', '"""dist\\\\WinT...
# <NAME> (<EMAIL>) # April 2018 import os, sys BASE_DIR = os.path.normpath( os.path.join(os.path.dirname(os.path.abspath(__file__)))) sys.path.append(os.path.join(BASE_DIR, '..')) from datasets import * from generate_outputs import * from scipy.optimize import linear_sum_assignment #import matplotlib.pyplot a...
[ "os.path.exists", "scipy.optimize.linear_sum_assignment", "os.makedirs", "os.path.join", "numpy.argmax", "numpy.linalg.norm", "numpy.array", "numpy.zeros", "numpy.sum", "numpy.expand_dims", "numpy.argmin", "os.path.abspath", "numpy.save" ]
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import os from conans import ConanFile, tools from conans.errors import ConanInvalidConfiguration class CxxOptsConan(ConanFile): name = "cxxopts" homepage = "https://github.com/jarro2783/cxxopts" url = "https://github.com/conan-io/conan-center-index" description = "Lightweight C++ option parser librar...
[ "conans.tools.check_min_cppstd", "conans.tools.get", "os.path.join", "conans.tools.Version" ]
[((1859, 1912), 'conans.tools.get', 'tools.get', ([], {}), "(**self.conan_data['sources'][self.version])\n", (1868, 1912), False, 'from conans import ConanFile, tools\n'), ((1067, 1123), 'conans.tools.check_min_cppstd', 'tools.check_min_cppstd', (['self', 'self._minimum_cpp_standard'], {}), '(self, self._minimum_cpp_st...
""" Standard Regression model ------------------------- """ import numpy as np import pandas as pd from typing import Union from ..logging import get_logger from .regression_model import RegressionModel from sklearn.linear_model import LinearRegression logger = get_logger(__name__) class LinearRegressionModel(Regre...
[ "sklearn.linear_model.LinearRegression" ]
[((1658, 1684), 'sklearn.linear_model.LinearRegression', 'LinearRegression', ([], {}), '(**kwargs)\n', (1674, 1684), False, 'from sklearn.linear_model import LinearRegression\n')]
import random from pymongo import MongoClient from observable import Observable from phrase import Phrase class MongoDbProxy: """Proxy for MongoDB""" def __init__(self, url, dbName, tableName): self.client = MongoClient(url) self.db = self.client[dbName] self.table = tableName ...
[ "phrase.Phrase", "pymongo.MongoClient", "observable.Observable", "random.randrange" ]
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#!flask/bin/python #from user import User from sampleObjects.User import User from datetime import datetime from sampleObjects.DetectionPoint import DetectionPoint import time, requests, random, atexit def requestGenerator(): userObject = randomUser() detectionPointObject = randomDetectionPoint() req = r...
[ "sampleObjects.DetectionPoint.DetectionPoint", "atexit.register", "sampleObjects.User.User", "time.sleep", "requests.get", "datetime.datetime.now", "random.randint" ]
[((1351, 1379), 'atexit.register', 'atexit.register', (['closingTime'], {}), '(closingTime)\n', (1366, 1379), False, 'import time, requests, random, atexit\n'), ((535, 585), 'requests.get', 'requests.get', (['"""http://localhost:5000/getResponses"""'], {}), "('http://localhost:5000/getResponses')\n", (547, 585), False,...
import os from pathlib import Path def write(file_name, content): Path(os.path.dirname(file_name)).mkdir(parents=True, exist_ok=True) with open(file_name, 'w') as file: file.write(content) def read_line_looping(file_name, count): i = 0 lines = [] file = open(file_name, 'r') line = fi...
[ "os.path.dirname" ]
[((77, 103), 'os.path.dirname', 'os.path.dirname', (['file_name'], {}), '(file_name)\n', (92, 103), False, 'import os\n')]
from aux_sys_err_prediction_module.additive.R_runmed_spline.my_R_runmed_spline_fit import R_runmed_smooth_spline from numpy import random, array, median, zeros, arange, hstack from win32com.client import Dispatch import math myName = 'R_runmed_spline' useMAD = True # use median absolute deviations instead of ...
[ "numpy.random.normal", "pylab.ylim", "win32com.client.Dispatch", "time.clock", "pylab.subplot", "math.floor", "pylab.plot", "pylab.show", "numpy.hstack", "aux_sys_err_prediction_module.additive.R_runmed_spline.my_R_runmed_spline_fit.R_runmed_smooth_spline", "numpy.array", "numpy.linspace", "...
[((619, 661), 'win32com.client.Dispatch', 'Dispatch', (['"""StatConnectorSrv.StatConnector"""'], {}), "('StatConnectorSrv.StatConnector')\n", (627, 661), False, 'from win32com.client import Dispatch\n'), ((2552, 2596), 'numpy.arange', 'arange', (['sparRange[0]', 'sparRange[1]', 'sparStep'], {}), '(sparRange[0], sparRan...
#!/usr/bin/env python # Copyright (c) 2016-present, <NAME> # All rights reserved. # # This software may be modified and distributed under the terms # of the BSD license. See the LICENSE file for details. import os import sys from setuptools import setup try: import cffi except ImportError: cffi = None import...
[ "setup_zstd.get_c_extension", "os.environ.get", "make_cffi.ffi.distutils_extension", "sys.argv.remote", "sys.argv.remove" ]
[((407, 452), 'os.environ.get', 'os.environ.get', (['"""ZSTD_WARNINGS_AS_ERRORS"""', '""""""'], {}), "('ZSTD_WARNINGS_AS_ERRORS', '')\n", (421, 452), False, 'import os\n'), ((542, 569), 'sys.argv.remove', 'sys.argv.remove', (['"""--legacy"""'], {}), "('--legacy')\n", (557, 569), False, 'import sys\n'), ((630, 662), 'sy...
# Copyright (c) 2017-2018 <NAME> # # SPDX-License-Identifier: BSD-3-Clause # The BSD-3-Clause license for this file can be found in the LICENSE file included with this distribution # or at https://spdx.org/licenses/BSD-3-Clause.html#licenseText import os import pytest from imx import img # Used Directories DATA_DIR =...
[ "os.path.abspath", "os.path.join" ]
[((410, 448), 'os.path.join', 'os.path.join', (['DATA_DIR', '"""dcd_test.txt"""'], {}), "(DATA_DIR, 'dcd_test.txt')\n", (422, 448), False, 'import os\n'), ((459, 497), 'os.path.join', 'os.path.join', (['DATA_DIR', '"""dcd_test.bin"""'], {}), "(DATA_DIR, 'dcd_test.bin')\n", (471, 497), False, 'import os\n'), ((350, 375)...
from setuptools import setup, find_packages from retrobiocat_web import __version__ with open('requirements.txt') as f: requirements = f.read().splitlines() setup( name = 'retrobiocat_web', packages = find_packages(), include_package_data=True, version = __version__, license='', description = 'Retrosynt...
[ "setuptools.find_packages" ]
[((209, 224), 'setuptools.find_packages', 'find_packages', ([], {}), '()\n', (222, 224), False, 'from setuptools import setup, find_packages\n')]
# -*- coding: utf-8 -*- import pickle import numpy as np from rdkit import Chem from rdkit.Chem import AllChem,DataStructs def get_classes(path): f = open(path, 'rb') dict_ = pickle.load(f) f.close() classes = sorted(dict_.items(), key=lambda d: d[1],reverse=True) classes = [(x,y) fo...
[ "pickle.load", "rdkit.Chem.MolFromSmiles", "rdkit.Chem.AllChem.GetMorganFingerprintAsBitVect", "rdkit.Chem.DataStructs.ConvertToNumpyArray", "numpy.empty", "numpy.concatenate" ]
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import functools import logging import random from flask import Flask, render_template, request import joblib from lxml.html import html5parser import lxml.html import requests import yarl import webstruct.model import webstruct.sequence_encoding import webstruct.webannotator webstruct_demo = Flask(__name__, instan...
[ "flask.render_template", "flask.request.args.get", "requests.auth.HTTPBasicAuth", "random.shuffle", "flask.Flask", "functools.reduce", "joblib.load", "requests.get", "logging.exception", "lxml.html.html5parser.document_fromstring", "yarl.URL" ]
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# Generated by Django 3.1.6 on 2021-02-15 19:01 from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ ('website', '0083_remove_aisubmission_code'), ] operations = [ migrations.AddField( model_name='e...
[ "django.db.models.ForeignKey", "django.db.models.AutoField", "django.db.models.CharField", "django.db.models.IntegerField" ]
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"""Core experiments for the dependency label prediction task.""" import collections import copy import logging from typing import (Any, Dict, Iterator, Optional, Sequence, Set, Tuple, Type, Union) from ldp import datasets, learning from ldp.models import probes, projections from ldp.parse import pt...
[ "logging.getLogger", "wandb.log", "torch.stack", "ldp.learning.EarlyStopping", "numpy.sum", "collections.defaultdict", "copy.deepcopy", "ldp.models.projections.Projection", "logging.info", "ldp.learning.test" ]
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import os import sentry_sdk from sentry_sdk.integrations.django import DjangoIntegration # Build paths inside the project like this: os.path.join(BASE_DIR, ...) BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__))) PWA_SERVICE_WORKER_PATH = os.path.join( BASE_DIR, 'routes/static/routes/js', 'serv...
[ "os.getenv", "sentry_sdk.integrations.django.DjangoIntegration", "os.path.join", "os.environ.get", "os.path.abspath" ]
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''' * @author Waldinsamkeit * @email <EMAIL> * @create date 2020-09-25 14:33:38 * @desc ''' import torch '''--------------------- Weighted Binary cross Entropy ----------------------''' ''' In Torch BCELoss, weight is set to every element of input instead of to every class ''' def weighted_binary_cross_entropy...
[ "torch.mean", "torch.tensor", "torch.log", "torch.clamp" ]
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from typing import * import attr from dlms_cosem.hdlc import validators @attr.s(auto_attribs=True) class HdlcAddress: """ A client address shall always be expressed on one byte. To enable addressing more than one logical device within a single physical device and to support the multi-drop configurat...
[ "attr.s", "attr.ib" ]
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from __future__ import division, absolute_import, print_function import warnings import numpy as np try: import scipy.stats as stats except ImportError: pass from .common import Benchmark class Anderson_KSamp(Benchmark): def setup(self, *args): self.rand = [np.random.normal(loc=i, size=1000) fo...
[ "scipy.stats.beta.rvs", "scipy.stats.gamma.rvs", "numpy.random.rand", "scipy.stats.norm.rvs", "scipy.stats.ttest_ind", "scipy.stats.gamma.pdf", "scipy.stats.cauchy.fit", "numpy.random.seed", "scipy.stats.beta.fit", "warnings.simplefilter", "numpy.random.normal", "scipy.stats.gamma.cdf", "sci...
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