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# oci-utils # # Copyright (c) 2019, 2020 Oracle and/or its affiliates. All rights reserved. # Licensed under the Universal Permissive License v 1.0 as shown # at http://oss.oracle.com/licenses/upl. """ Module to handle template type formatted virtual disk images. """ import logging import os import struct from oci_ut...
[ "oci_utils.migrate.result_msg", "oci_utils.migrate.exception.OciMigrateException", "os.stat", "struct.unpack", "struct.calcsize", "os.path.split", "logging.getLogger" ]
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import collections import numpy __all__ = [ "Output", ] Output = collections.namedtuple("Output", ["type", "format", "time", "labels", "data"]) def to_output(file_type, file_format, labels_order, headers, times, labels, variables): """Create an Output namedtuple.""" outputs = [ Output( ...
[ "numpy.transpose", "numpy.array", "collections.namedtuple" ]
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"""Test NETCONF Lock - unit-tests.""" from unittest.mock import patch from nornir_netconf.plugins.tasks import netconf_lock from tests.conftest import FakeRpcObject # from nornir_utils.plugins.functions import print_result def test_netconf_lock(nornir): """Test Netconf Lock, operation not found.""" nr = nor...
[ "unittest.mock.patch", "tests.conftest.FakeRpcObject" ]
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from django.urls import path from students.views import StudentsView, StudentsAddView urlpatterns = [ path('manage', StudentsView.as_view(), name='index'), path('add', StudentsAddView.as_view(), name='students_add') ]
[ "students.views.StudentsView.as_view", "students.views.StudentsAddView.as_view" ]
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""" Cisco_IOS_XR_lib_keychain_macsec_cfg This module contains a collection of YANG definitions for Cisco IOS\-XR lib\-keychain\-macsec package configuration. This module contains definitions for the following management objects\: mac\-sec\-keychains\: Configure a Key Chain Copyright (c) 2013\-2016 by Cisco System...
[ "ydk.errors.YPYModelError", "ydk.types.YList" ]
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import os import sys import getopt import logging def command_line_to_cgi_args(): """It is possible to run these scripts as CGI scripts. But is is also possible to run them as command line scripts http://thehost/survol/sources_types/TheClass/the_script.py?xid=TheClass.arg1=val1,arg2=val2 becomes : ...
[ "os.path.split", "logging.debug", "getopt.getopt", "sys.exit" ]
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from django.contrib import admin from apps.ops import models class AdhocAdmin(admin.ModelAdmin): list_display = ('id', 'name', 'hosts', 'tasks') # Register your models here. admin.site.register(models.Adhoc, AdhocAdmin)
[ "django.contrib.admin.site.register" ]
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from __future__ import division, print_function from hoomd import * from hoomd import hpmc import unittest import os import numpy context.initialize() def create_empty(**kwargs): snap = data.make_snapshot(**kwargs); return init.read_snapshot(snap); # test overlaps of faceted sphere configurations class facet...
[ "unittest.main", "hoomd.hpmc.integrate.faceted_sphere" ]
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#importdefs import bpy from g_tools.bpy_itfc_funcs import curve_fs from bpy_extras.io_utils import ImportHelper from bpy.props import StringProperty, BoolProperty, EnumProperty, CollectionProperty from bpy.types import Operator #fdef #opdef class simple_hair_curve_op(bpy.types.Operator): """NODESC""" bl_idn...
[ "bpy.props.BoolProperty", "g_tools.bpy_itfc_funcs.curve_fs.curve_to_armature", "g_tools.bpy_itfc_funcs.curve_fs.simple_hair_curve", "bpy.utils.unregister_class", "bpy.props.StringProperty", "bpy.utils.register_class" ]
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from re import search def increment_string(s): num_match = search(r"(0|[1-9]\d*)$", s) str_end = num_match.start() if num_match else len(s) num = int(num_match.group()) if num_match else 0 if (str_end > 0 and s[str_end-1] == '0' and len(str(num+1)) > len(str(num))): str_end -= 1 return s[:s...
[ "re.search" ]
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import logging from budgetportal import models from django import forms from django.core.exceptions import ValidationError from django.db.models import NOT_PROVIDED, Q from django.utils.text import slugify from import_export import resources from import_export.admin import ImportForm from import_export.fields import F...
[ "budgetportal.models.Sphere.objects.all", "django.core.exceptions.ValidationError", "budgetportal.models.Sphere.objects.get", "budgetportal.models.InfrastructureProjectPart.get_provinces", "django.db.models.Q", "import_export.fields.Field", "django.utils.text.slugify", "budgetportal.models.Department....
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from lookup_extensions.manager import Manager try: from lookup.models import ( Article as LookupArticle, Game, Player, Season, Tag, ) from or_lookups.models import ( Article as OrLookupsArticle, ) from reverse_lookup.models import ( Choice, ...
[ "lookup_extensions.manager.Manager" ]
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# Generated by Django 3.1.2 on 2020-10-13 07:15 from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): initial = True dependencies = [ ] operations = [ migrations.CreateModel( name='Car', fields=[ ...
[ "django.db.models.OneToOneField", "django.db.models.CharField", "django.db.models.ForeignKey", "django.db.models.AutoField", "django.db.models.DateTimeField" ]
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import unittest from Application import app, db from Application.db_operations import * class DBOperationsTests(unittest.TestCase): def setUp(self): self.existing_researcher = Researchers(phone_id='123', name='test', surname='test') app.config.from_pyfile('../Tests/testing_conf.py') self.a...
[ "Application.db.drop_all", "Application.app.test_client", "Application.db.create_all", "Application.app.config.from_pyfile", "Application.db.session.remove" ]
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#!/usr/bin/env python # # Software License Agreement (BSD License) # # Copyright (c) 2017, TNO IVS, Helmond, Netherlands # 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...
[ "diagnostic_common_diagnostics.cpu_monitor.main", "argparse.ArgumentParser" ]
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# Um professor quer sortear um dos seus quatro alunos para apagar o quadro. Faça um programa que ajude ele, # lendo o nome deles e escrevendo o nome escolhido. import random aluno1 = input('Digite o nome do 1º aluno: ') aluno2 = input('Digite o nome do 2º aluno: ') aluno3 = input('Digite o nome do 3º aluno: ') aluno4...
[ "random.choice" ]
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import numpy as np x = 1.0 y = 2.0 #exponents and logarithms print(np.exp(x)) #e^x print(np.log(x)) #ln x print(np.log10(x)) #log_10 x print(np.log2(x)) #log_2 x #min/max/misc print(np.fabs(x)) #absolute cal as a float print(np.fmin(x,y)) #min of x and y print(np.fmax(x,y)) #max of x and y #populate arrays n = 1...
[ "numpy.fmin", "numpy.fmax", "numpy.log", "numpy.log2", "numpy.sin", "numpy.arange", "numpy.exp", "numpy.fabs", "numpy.interp", "numpy.log10" ]
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from pyspark.sql import Row, SparkSession from pyspark.sql.functions import col, lower, lit, upper, initcap, length, from_unixtime, substring, length, expr, \ current_date ##redditor = df.drop('_c0') import getpass import logging username = getpass.getuser() def main(spark): logging.basicConfig(level=logging...
[ "getpass.getuser", "logging.basicConfig", "pyspark.sql.functions.expr", "pyspark.sql.SparkSession.builder.config", "pyspark.sql.functions.lit", "pyspark.sql.functions.from_unixtime", "pyspark.sql.functions.current_date", "pyspark.sql.functions.col" ]
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import hypothesis.strategies as st from hypothesis import given @given(st.integers(min_value = 0, max_value=10000)) def test(i): print(i) assert f < 5000
[ "hypothesis.strategies.integers" ]
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import play import behavior import tactics.coordinated_pass import tactics.forward_pass import tactics.behavior_sequence import robocup import constants import main ## Continually runs a coordinated pass to opposite sides of the field class TestForwardPass(play.Play): ReceiveXCoord = -constants.Field.Width / 4 ...
[ "robocup.Point" ]
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from datetime import datetime class App_logger: def __init__(self): pass def log(self,file_name,log_message): self.now = datetime.now() self.date = self.now.date() self.time = self.now.strftime("%H:%M:%S") file_name.write(str(self.date) + '\t' + str(self.time) +'\t\t' ...
[ "datetime.datetime.now" ]
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from typing import Callable, Tuple, List, Union, Optional, Text from datetime import datetime, timedelta, date import pytz from dateutil.parser import parse class TimeUtils(object): @classmethod def utc_now(cls) -> datetime: """ Return a datetime in UTC timezone. """ return d...
[ "dateutil.parser.parse", "datetime.datetime.now", "datetime.datetime.fromtimestamp" ]
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import day14 def test_masks_correctly1(): value = "000000000000000000000000000001100101" mask = "XXXXXXXXXXXXXXXXXXXXXXXXXXXXX1XXXX0X" _, masked_val = day14.mask_values(mask, value) assert masked_val == 101, f"Masked value is wrong, is {masked_val}" def test_masks_correctly2(): value = "0000000...
[ "day14.mask_and_apply_input", "day14.mask_values", "day14.mask_address" ]
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# Licensed to the Apache Software Foundation (ASF) under one # or more contributor license agreements. See the NOTICE file # distributed with this work for additional information # regarding copyright ownership. The ASF licenses this file # to you under the Apache License, Version 2.0 (the # "License"); you may...
[ "cairis.tools.SessionValidator.get_session_id", "cairis.tools.JsonConverter.json_serialize", "flask.request.args.get", "cairis.data.ResponseDAO.ResponseDAO" ]
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# congklak game environment # version 1.0.0 import numpy as np import random class congklak_board: def __init__(self): # array to save the score, also function as the big holes' stone counter self.score = np.full(shape=2, fill_value=0, dtype=np.int) # array to save the state of th...
[ "numpy.full", "numpy.savetxt", "numpy.zeros", "numpy.append", "numpy.array", "numpy.concatenate" ]
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import smtplib from email.mime.multipart import MIMEMultipart from email.mime.text import MIMEText def sendmail(email_recepients): email_sender_account = "<EMAIL>" email_sender_username = "<EMAIL>" email_sender_password = "password" email_smtp_server = "smtp.gmail.com" email_smtp_port = 587 em...
[ "email.mime.multipart.MIMEMultipart", "email.mime.text.MIMEText", "smtplib.SMTP" ]
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# Copyright 2021 iiPython # Modules import os import re import shutil # Console class class Console(object): def __init__(self) -> None: self._clear_cmd = "clear" if os.name != "nt" else "cls" # Color map self._color_map = { # Regular colors "black": 30, "red": 31...
[ "shutil.get_terminal_size", "re.findall", "os.system" ]
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# Generated by Django 3.2.5 on 2021-07-30 09:47 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('article', '0007_auto_20210730_1416'), ] operations = [ migrations.AlterField( model_name='squad_article', name='min_...
[ "django.db.models.IntegerField" ]
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# Author: <NAME> <<EMAIL>> # 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...
[ "sklearn.ensemble.RandomForestClassifier", "sklearn.metrics.confusion_matrix", "utils.saveStringToFilesystem", "pandas.read_csv", "utils.getFeatureLabelColumns", "utils.applyPCA", "utils.scaleUnitMean", "utils.saveObjectToFilesystem", "utils.buildPerformanceString", "utils.getPredictedLabels", "...
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import OpenSSL import botocore.session import os import io import jks import logging import pytest from acm_pca_cert_generator import certgen from acm_common import truststore_utils from botocore.stub import Stubber, ANY try: import mock from mock import MagicMock from mock import call except ImportError: ...
[ "os.mkdir", "os.remove", "acm_common.truststore_utils.retrieve_key_and_cert_retryable", "OpenSSL.crypto.PKey", "os.path.join", "acm_common.truststore_utils.get_aws_certificate_chain", "unittest.mock.MagicMock", "OpenSSL.crypto.X509", "os.path.exists", "acm_common.truststore_utils.generate_truststo...
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import logging from pathlib import Path from magnus.integration import BaseIntegration from magnus import defaults logger = logging.getLogger(defaults.NAME) class LocalComputeS3RunLogStore(BaseIntegration): """ Local compute and File system run log store """ mode_type = 'local' service_type = 'r...
[ "pathlib.Path", "logging.getLogger" ]
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import sys, re, time from collections import defaultdict def chunkIt(seq, num): avg = len(seq) / float(num) out = [] last = 0.0 while last < len(seq): out.append(seq[int(last):int(last + avg)]) last += avg return out class Token: def __init__(self, separator='\t'): self.id =...
[ "time.time", "collections.defaultdict", "re.search", "re.sub", "sys.exit" ]
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import cv2 im = cv2.imread('facerec1.png') im1 = cv2.resize(im, (255, 255)) cv2.imwrite('recface.png', im1)
[ "cv2.imread", "cv2.resize", "cv2.imwrite" ]
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# -*- coding: utf-8 -*- """ Created on Sat Oct 12 11:56:46 2019 @author: <NAME> Assignment 1: - Convert a RAW rgb image to a YUV format then Reconstruct the RGB channels. - Compute the PSNR between the source rgb image and the Reconstructed RGB using 4:4:4, 4:2:2 and 4:1:1 format. - You may select to use the averag...
[ "numpy.sum", "math.sqrt", "numpy.fromfile", "cv2.cvtColor", "cv2.imwrite", "cv2.waitKey", "cv2.destroyAllWindows", "numpy.shape", "cv2.imread", "numpy.array", "numpy.reshape", "cv2.merge", "cv2.imshow" ]
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from datetime import datetime, timedelta from enum import Enum from apscheduler.triggers.date import DateTrigger from . import ServiceBase import logging logger = logging.getLogger(__name__) class ClockService(ServiceBase): def get_next_trigger(self): now = datetime.now() now = now + timedelta...
[ "datetime.datetime.now", "datetime.timedelta", "logging.getLogger", "datetime.datetime" ]
[((166, 193), 'logging.getLogger', 'logging.getLogger', (['__name__'], {}), '(__name__)\n', (183, 193), False, 'import logging\n'), ((276, 290), 'datetime.datetime.now', 'datetime.now', ([], {}), '()\n', (288, 290), False, 'from datetime import datetime, timedelta\n'), ((311, 331), 'datetime.timedelta', 'timedelta', ([...
""" Copyright (c) 2013 ICRL See the file license.txt for copying permission. """ from xml.etree import ElementTree import core class GameParser: """ This class can import games from XML files using the :func:`loadXMLGameData` function. :attributes: - `game`: holds all the game data after :func:`loadXMLGameData...
[ "xml.etree.ElementTree.parse", "core.components.Game", "core.components.Effect", "core.components.Condition", "core.components.Scene" ]
[((2224, 2246), 'core.components.Game', 'core.components.Game', ([], {}), '()\n', (2244, 2246), False, 'import core\n'), ((5277, 5301), 'core.components.Effect', 'core.components.Effect', ([], {}), '()\n', (5299, 5301), False, 'import core\n'), ((6670, 6697), 'core.components.Condition', 'core.components.Condition', ([...
# -*- coding: utf-8 -*- # Generated by Django 1.11.5 on 2018-01-03 06:39 from __future__ import unicode_literals import datetime from django.conf import settings from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): initial = True dependencies = [ ...
[ "django.db.models.TextField", "django.db.migrations.swappable_dependency", "django.db.models.ForeignKey", "django.db.models.FloatField", "django.db.models.AutoField", "datetime.datetime", "django.db.models.IntegerField" ]
[((416, 473), 'django.db.migrations.swappable_dependency', 'migrations.swappable_dependency', (['settings.AUTH_USER_MODEL'], {}), '(settings.AUTH_USER_MODEL)\n', (447, 473), False, 'from django.db import migrations, models\n'), ((646, 739), 'django.db.models.AutoField', 'models.AutoField', ([], {'auto_created': '(True)...
import apiAuth from __swagger2__ import requests as swagRq from __swagger2__ import responses as swagRsp from v1 import statics as swagStc PREFIX = swagStc.IGNITION_SWAGGER_CUSTOM_PREFIX class GET(swagRq.HttpMethod): SWAGGER = { # CUSTOM KEYS FOR IA PURPOSES PREFIX+'auth': [ {'method': apiAuth.simple.allowAl...
[ "__swagger2__.responses.httpStatus", "__swagger2__.responses.json" ]
[((4958, 5052), '__swagger2__.responses.json', 'swagRsp.json', ([], {'success': '(True)', 'status': '"""SUCCESS"""', 'data': "{'description': 'successful operation'}"}), "(success=True, status='SUCCESS', data={'description':\n 'successful operation'})\n", (4970, 5052), True, 'from __swagger2__ import responses as sw...
# Copyright (C) 2019 Google Inc. # Licensed under http://www.apache.org/licenses/LICENSE-2.0 <see LICENSE file> """ Set due_date for Fixed and Depricated Issues Create Date: 2019-04-12 15:18:33.419112 """ # disable Invalid constant name pylint warning for mandatory Alembic variables. # pylint: disable=invalid-name i...
[ "sqlalchemy.text", "ggrc.migrations.utils.add_to_objects_without_revisions_bulk", "json.loads", "alembic.op.get_bind" ]
[((1639, 1703), 'sqlalchemy.text', 'sa.text', (['"""UPDATE issues SET due_date = :due_date WHERE id = :id"""'], {}), "('UPDATE issues SET due_date = :due_date WHERE id = :id')\n", (1646, 1703), True, 'import sqlalchemy as sa\n'), ((1859, 1872), 'alembic.op.get_bind', 'op.get_bind', ([], {}), '()\n', (1870, 1872), False...
from collections import namedtuple from datetime import datetime from unittest.mock import patch import pytest from freezegun import freeze_time from metaphor.common.event_util import EventUtil from metaphor.redshift.usage.config import RedshiftUsageRunConfig from metaphor.redshift.usage.extractor import RedshiftUsag...
[ "tests.test_utils.load_json", "metaphor.redshift.usage.extractor.RedshiftUsageExtractor", "datetime.datetime.fromisoformat", "metaphor.common.event_util.EventUtil.trim_event", "unittest.mock.patch", "collections.namedtuple", "freezegun.freeze_time", "metaphor.redshift.usage.config.RedshiftUsageRunConf...
[((1295, 1320), 'freezegun.freeze_time', 'freeze_time', (['"""2022-01-17"""'], {}), "('2022-01-17')\n", (1306, 1320), False, 'from freezegun import freeze_time\n'), ((417, 432), 'tests.test_utils.load_json', 'load_json', (['path'], {}), '(path)\n', (426, 432), False, 'from tests.test_utils import load_json\n'), ((1375,...
from rest_framework import viewsets from rest_framework import permissions from rest_framework import filters from api.user.permissions import IsOwnerOfObject from user.models import Hashmap from api.hashmap.serializers import HashmapSerializer class HashmapViewSet(viewsets.ModelViewSet): """ API endpoint tha...
[ "user.models.Hashmap.objects.filter" ]
[((810, 856), 'user.models.Hashmap.objects.filter', 'Hashmap.objects.filter', ([], {'user': 'self.request.user'}), '(user=self.request.user)\n', (832, 856), False, 'from user.models import Hashmap\n')]
#!/usr/bin/env python # # ___INFO__MARK_BEGIN__ ####################################################################################### # Copyright 2016-2021 Univa Corporation (acquired and owned by Altair Engineering Inc.) # Licensed under the Apache License, Version 2.0 (the "License"); you may not # use this file e...
[ "tempfile.NamedTemporaryFile", "os.remove", "nose.tools.make_decorator", "nose.SkipTest", "os.path.exists", "random.choice", "uge.config.config_manager.ConfigManager.get_instance", "uge.exceptions.configuration_error.ConfigurationError" ]
[((2196, 2221), 'os.path.exists', 'os.path.exists', (['file_path'], {}), '(file_path)\n', (2210, 2221), False, 'import os\n'), ((2838, 2866), 'uge.config.config_manager.ConfigManager.get_instance', 'ConfigManager.get_instance', ([], {}), '()\n', (2864, 2866), False, 'from uge.config.config_manager import ConfigManager\...
import math import numpy as np import scipy as s import scipy.integrate as q import matplotlib.pyplot as plt #Constants H0 = 2.19507453e-18 #using 67.74 Wm = 0.279 Wq = 1 - Wm w = -1 #Basic Functions def H(a): return H0*np.sqrt(Wm*a**(-3) + Wq*a**(-3*(1+w))) def dH(a): return (H0**2/(2*H(a)))*(-3*Wm*a**(-4) -...
[ "matplotlib.pyplot.title", "matplotlib.pyplot.subplot", "matplotlib.pyplot.xlim", "matplotlib.pyplot.show", "matplotlib.pyplot.plot", "scipy.integrate.quad", "scipy.integrate.odeint", "matplotlib.pyplot.legend", "matplotlib.pyplot.figure", "numpy.linspace", "matplotlib.pyplot.ylabel", "matplot...
[((1292, 1313), 'numpy.linspace', 'np.linspace', (['a0', '(1)', 'N'], {}), '(a0, 1, N)\n', (1303, 1313), True, 'import numpy as np\n'), ((1319, 1339), 'scipy.integrate.odeint', 'q.odeint', (['z3', 'y30', 'a'], {}), '(z3, y30, a)\n', (1327, 1339), True, 'import scipy.integrate as q\n'), ((1443, 1456), 'matplotlib.pyplot...
# -*- coding: utf-8 -*- from __future__ import (absolute_import, division, print_function, unicode_literals) from gevent import monkey monkey.patch_all() import unittest import gevent import ws4py from ws4py.client.geventclient import WebSocketClient class WebsocketTest(unittest.TestCase): ...
[ "gevent.monkey.patch_all", "ws4py.client.geventclient.WebSocketClient" ]
[((159, 177), 'gevent.monkey.patch_all', 'monkey.patch_all', ([], {}), '()\n', (175, 177), False, 'from gevent import monkey\n'), ((373, 414), 'ws4py.client.geventclient.WebSocketClient', 'WebSocketClient', (['"""ws://127.0.0.1:5080/ws"""'], {}), "('ws://127.0.0.1:5080/ws')\n", (388, 414), False, 'from ws4py.client.gev...
import pytest import random import typing from slack_blockkit.block_element import ( ButtonElement, DangerButtonElement, DatepickerElement, DefaultButtonElement, ImageElement, OverflowElement, PlainTextInputElement, PrimaryButtonElement, RadioButtonGroupElement, ) from slack_blockki...
[ "slack_blockkit.block_element.RadioButtonGroupElement", "random.randint", "slack_blockkit.layout_block.FileBlock", "slack_blockkit.composition_object.PlainTextObject", "slack_blockkit.composition_object.TextObject", "slack_blockkit.composition_object.MarkdownTextObject", "slack_blockkit.block_element.Im...
[((991, 1076), 'slack_blockkit.composition_object.TextObject', 'TextObject', ([], {'btype': 'TextObject.BTYPE_MARKDOWN', 'text': '"""Sandy cheeks lives in a dome"""'}), "(btype=TextObject.BTYPE_MARKDOWN, text='Sandy cheeks lives in a dome'\n )\n", (1001, 1076), False, 'from slack_blockkit.composition_object import C...
from tkinter import filedialog from tkinter import * import os # get image data: ############################################################ def Get_image_data(window): desktop_folder = os.path.expanduser("~/Desktop") open_file = filedialog.askopenfile(initialdir = desktop_folder, ...
[ "os.path.split", "os.path.expanduser", "tkinter.filedialog.askopenfile" ]
[((192, 223), 'os.path.expanduser', 'os.path.expanduser', (['"""~/Desktop"""'], {}), "('~/Desktop')\n", (210, 223), False, 'import os\n'), ((239, 484), 'tkinter.filedialog.askopenfile', 'filedialog.askopenfile', ([], {'initialdir': 'desktop_folder', 'parent': 'window', 'mode': '"""rb"""', 'title': '"""Choisissez un fic...
#!/usr/bin/env python3 # Copyright (c) 2020 The Bitcoin Unlimited developers """ Tests the electrum call 'blockchain.transaction.get' """ import asyncio from test_framework.util import assert_equal, p2p_port from test_framework.electrumutil import ElectrumTestFramework, ElectrumConnection from test_framework.nodemessag...
[ "asyncio.get_event_loop", "test_framework.script.CScript", "test_framework.blocktools.pad_tx", "test_framework.electrumutil.ElectrumConnection", "test_framework.nodemessages.ToHex", "test_framework.util.assert_equal" ]
[((2755, 2779), 'asyncio.get_event_loop', 'asyncio.get_event_loop', ([], {}), '()\n', (2777, 2779), False, 'import asyncio\n'), ((2160, 2170), 'test_framework.blocktools.pad_tx', 'pad_tx', (['tx'], {}), '(tx)\n', (2166, 2170), False, 'from test_framework.blocktools import create_transaction, pad_tx\n'), ((2314, 2335), ...
import os import numpy as np import pandas as pd from scipy.io import loadmat, savemat import matplotlib.pyplot as plt import seaborn as sns def match_strings(strings, path, any_or_all='any'): if any_or_all == 'any': return any([string in path for string in strings]) elif any_or_all == 'all': r...
[ "os.remove", "numpy.abs", "scipy.io.loadmat", "numpy.mean", "numpy.diag", "os.path.join", "numpy.unique", "numpy.atleast_2d", "pandas.DataFrame", "seaborn.reset_defaults", "shutil.copyfile", "matplotlib.pyplot.subplots", "numpy.repeat", "seaborn.scatterplot", "matplotlib.pyplot.legend", ...
[((3043, 3066), 'numpy.atleast_2d', 'np.atleast_2d', (['data_vec'], {}), '(data_vec)\n', (3056, 3066), True, 'import numpy as np\n'), ((4643, 4686), 'pandas.to_numeric', 'pd.to_numeric', (["df['value']"], {'errors': '"""coerce"""'}), "(df['value'], errors='coerce')\n", (4656, 4686), True, 'import pandas as pd\n'), ((47...
import requests import os import threading import urllib3 from bs4 import BeautifulSoup from concurrent.futures import ThreadPoolExecutor from selenium import webdriver from selenium.common import exceptions urllib3.disable_warnings() divide_line = "———————————— {} ————————————" def cjg_crawl(info, index="", downloa...
[ "os.mkdir", "os.path.exists", "requests.get", "selenium.webdriver.Chrome", "bs4.BeautifulSoup", "concurrent.futures.ThreadPoolExecutor", "threading.current_thread", "urllib3.disable_warnings" ]
[((208, 234), 'urllib3.disable_warnings', 'urllib3.disable_warnings', ([], {}), '()\n', (232, 234), False, 'import urllib3\n'), ((557, 601), 'requests.get', 'requests.get', (['url'], {'timeout': '(120)', 'verify': '(False)'}), '(url, timeout=120, verify=False)\n', (569, 601), False, 'import requests\n'), ((615, 654), '...
import os import click import scphylo as scp @click.command(short_help="Run OncoNEM.") @click.argument( "genotype_file", required=True, type=click.Path( exists=True, file_okay=True, dir_okay=False, readable=True, resolve_path=True ), ) @click.argument( "alpha", required=True, typ...
[ "click.argument", "scphylo.io.read", "click.command", "scphylo.tl.onconem", "scphylo.io.write", "os.path.splitext", "click.Path" ]
[((50, 90), 'click.command', 'click.command', ([], {'short_help': '"""Run OncoNEM."""'}), "(short_help='Run OncoNEM.')\n", (63, 90), False, 'import click\n'), ((265, 315), 'click.argument', 'click.argument', (['"""alpha"""'], {'required': '(True)', 'type': 'float'}), "('alpha', required=True, type=float)\n", (279, 315)...
#!/usr/bin/env python # # // SPDX-License-Identifier: BSD-3-CLAUSE # # (C) Copyright 2018, Xilinx, Inc. # import os import json import argparse from collections import OrderedDict import h5py import ntpath import cv2 import numpy as np from xfdnn.rt.xdnn_util import literal_eval from ext.PyTurboJPEG import imread as ...
[ "argparse.ArgumentParser", "xfdnn.tools.compile.bin.xfdnn_compiler_caffe.default_compiler_arg_parser", "os.walk", "numpy.argsort", "os.path.isfile", "os.path.join", "os.path.abspath", "os.path.exists", "numpy.transpose", "cv2.resize", "numpy.stack", "h5py.File", "numpy.asarray", "xfdnn.too...
[((1306, 1351), 'argparse.ArgumentParser', 'argparse.ArgumentParser', ([], {'description': '"""pyXDNN"""'}), "(description='pyXDNN')\n", (1329, 1351), False, 'import argparse\n'), ((4937, 4989), 'argparse.ArgumentParser', 'argparse.ArgumentParser', ([], {'description': '"""XDLF_compiled"""'}), "(description='XDLF_compi...
#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Sat Jul 21 15:17:03 2018 Renames the files from the microscope into pattern: Well, Date, FoV, channel @author: max """ import os from os.path import isfile, join import re import sys path='/Users/max/Desktop/Office/Phd/Data/N1E_115/SiRNA/SiRNA_28/timelap...
[ "os.makedirs", "os.rename", "os.path.exists", "os.chdir", "re.search", "os.path.join", "os.listdir", "re.compile" ]
[((343, 383), 're.compile', 're.compile', (['""".tif$"""'], {'flags': 're.IGNORECASE'}), "('.tif$', flags=re.IGNORECASE)\n", (353, 383), False, 'import re\n'), ((426, 440), 'os.chdir', 'os.chdir', (['path'], {}), '(path)\n', (434, 440), False, 'import os\n'), ((639, 655), 'os.listdir', 'os.listdir', (['path'], {}), '(p...
""" :codeauthor: <NAME> <<EMAIL>> """ import pytest import salt.pillar.netbox as netbox from tests.support.mock import patch @pytest.fixture def default_kwargs(): return { "minion_id": "minion1", "pillar": None, "api_url": "http://netbox.example.com", "api_token": "ye<PASSWORD...
[ "salt.pillar.netbox._associate_ips_to_interfaces", "salt.pillar.netbox._get_virtual_machines", "salt.pillar.netbox._get_interface_ips", "salt.pillar.netbox._get_site_details", "salt.pillar.netbox._get_site_prefixes", "salt.pillar.netbox._get_proxy_details", "tests.support.mock.patch", "salt.pillar.net...
[((51555, 51590), 'salt.pillar.netbox.ext_pillar', 'netbox.ext_pillar', ([], {}), '(**default_kwargs)\n', (51572, 51590), True, 'import salt.pillar.netbox as netbox\n'), ((61088, 61160), 'salt.pillar.netbox._associate_ips_to_interfaces', 'netbox._associate_ips_to_interfaces', (['interfaces_list', 'interface_ips_list'],...
# from distutils.core import setup from setuptools import setup setup( name='gp_project', # packages=['gp_project'], py_modules=['gp_project'], version='0.1', description='A Gaussian Process Project for STAT8810 at OSU', author='<NAME>, <NAME>, <NAME>', author_email='<EMAIL>', license='...
[ "setuptools.setup" ]
[((65, 879), 'setuptools.setup', 'setup', ([], {'name': '"""gp_project"""', 'py_modules': "['gp_project']", 'version': '"""0.1"""', 'description': '"""A Gaussian Process Project for STAT8810 at OSU"""', 'author': '"""<NAME>, <NAME>, <NAME>"""', 'author_email': '"""<EMAIL>"""', 'license': '"""MIT"""', 'url': '"""https:/...
import asyncio import contextlib import datetime import functools import importlib import inspect import logging import pathlib import types from typing import Any, Awaitable, Callable, Iterable, Optional, Type, TypeVar import dateutil.parser from procrastinate import exceptions T = TypeVar("T") U = TypeVar("U") lo...
[ "asyncio.get_event_loop", "importlib.import_module", "asyncio.new_event_loop", "asyncio.set_event_loop", "procrastinate.exceptions.LoadFromPathError", "asyncio.iscoroutinefunction", "inspect.getmodule", "pathlib.Path", "functools.wraps", "typing.TypeVar", "datetime.datetime.now", "logging.getL...
[((287, 299), 'typing.TypeVar', 'TypeVar', (['"""T"""'], {}), "('T')\n", (294, 299), False, 'from typing import Any, Awaitable, Callable, Iterable, Optional, Type, TypeVar\n'), ((304, 316), 'typing.TypeVar', 'TypeVar', (['"""U"""'], {}), "('U')\n", (311, 316), False, 'from typing import Any, Awaitable, Callable, Iterab...
# day04.py # <NAME>, <EMAIL> DOT <EMAIL> from collections import defaultdict as ddict import operator import os import re import sys a_ans = None b_ans = None # sol() allows for summarized solutions def sol(): f = open( os.path.join( os.path.dirname(__file__), "../inputs/day04.txt" ), 'r' ) notes = sorted( [...
[ "os.path.dirname", "collections.defaultdict", "re.findall", "operator.itemgetter", "sys.exit" ]
[((504, 515), 'collections.defaultdict', 'ddict', (['list'], {}), '(list)\n', (509, 515), True, 'from collections import defaultdict as ddict\n'), ((1184, 1194), 'collections.defaultdict', 'ddict', (['int'], {}), '(int)\n', (1189, 1194), True, 'from collections import defaultdict as ddict\n'), ((1899, 1909), 'sys.exit'...
import json import tangelo from startrek import DBSession from startrek import Episode @tangelo.types(sort=json.loads) def run(sort=False): session = DBSession() count = {} episodes = session.query(Episode) for ep in episodes: seen = set() for writer in ep.teleplay: count...
[ "startrek.DBSession", "tangelo.types" ]
[((91, 121), 'tangelo.types', 'tangelo.types', ([], {'sort': 'json.loads'}), '(sort=json.loads)\n', (104, 121), False, 'import tangelo\n'), ((157, 168), 'startrek.DBSession', 'DBSession', ([], {}), '()\n', (166, 168), False, 'from startrek import DBSession\n')]
from PIL import Image from torchvision import transforms import torch from torch.utils import data import torch.nn.functional as F import numpy as np import pandas as pd import json import copy from sklearn import metrics import sys, getopt import os import glob import random import collections import time from tqdm ...
[ "os.mkdir", "argparse.ArgumentParser", "numpy.argmax", "pandas.read_csv", "torch.cuda.device_count", "torch.cuda.current_device", "torchvision.transforms.Normalize", "torch.no_grad", "sys.path.append", "pandas.DataFrame", "numpy.copy", "Data_Generator.Dataset_WSI", "torch.utils.data.DataLoad...
[((354, 382), 'sys.path.append', 'sys.path.append', (['"""../utils/"""'], {}), "('../utils/')\n", (369, 382), False, 'import sys, getopt\n'), ((568, 628), 'argparse.ArgumentParser', 'argparse.ArgumentParser', ([], {'description': '"""TMA patches extractor"""'}), "(description='TMA patches extractor')\n", (591, 628), Fa...
#! /usr/bin/env python # -*- coding: utf-8 -*- from st2tests.base import BaseActionTestCase from mock import MagicMock, patch import json import yaml import os import sys import re BASE_DIR = '/opt/stackstorm/packs/mydemo_pack' sys.path.append(BASE_DIR) sys.path.append(BASE_DIR + '/actions/scripts') sys.path.append('...
[ "sys.path.append", "mock.patch" ]
[((230, 255), 'sys.path.append', 'sys.path.append', (['BASE_DIR'], {}), '(BASE_DIR)\n', (245, 255), False, 'import sys\n'), ((256, 302), 'sys.path.append', 'sys.path.append', (["(BASE_DIR + '/actions/scripts')"], {}), "(BASE_DIR + '/actions/scripts')\n", (271, 302), False, 'import sys\n'), ((303, 394), 'sys.path.append...
#!/usr/bin/env python3 ''' Requirements: $ pip3 install pygithub Go to https://github.com/settings/tokens and make a personal access token with full permissions to the repo and org. ''' import csv from github import Github from pprint import pprint #---------------------------------------------------------------...
[ "csv.DictWriter", "pprint.pprint", "github.Github" ]
[((553, 566), 'github.Github', 'Github', (['token'], {}), '(token)\n', (559, 566), False, 'from github import Github\n'), ((2372, 2385), 'pprint.pprint', 'pprint', (['repos'], {}), '(repos)\n', (2378, 2385), False, 'from pprint import pprint\n'), ((2386, 2405), 'pprint.pprint', 'pprint', (['all_members'], {}), '(all_me...
from abc import ABC, abstractmethod import numpy as np class User(ABC): """ User in the typing environment. Can be simulated or a real user. :param input_dim: (Tuple(int)) The dimensionality of the inputs this users produces. """ def __init__(self, input_dim, n_samples, baseline_temp, boltzmann_e...
[ "numpy.squeeze", "numpy.sum", "numpy.exp", "numpy.array" ]
[((1370, 1386), 'numpy.squeeze', 'np.squeeze', (['pred'], {}), '(pred)\n', (1380, 1386), True, 'import numpy as np\n'), ((1924, 1933), 'numpy.exp', 'np.exp', (['x'], {}), '(x)\n', (1930, 1933), True, 'import numpy as np\n'), ((1964, 1984), 'numpy.sum', 'np.sum', (['unnormalized'], {}), '(unnormalized)\n', (1970, 1984),...
# -*- coding: utf-8 -*- """ Author: @heyao Created On: 2019/7/3 上午11:16 """ import re from itertools import chain import jieba from knowledge_graph.info_extract.word_category import * from knowledge_graph.info_extract.corpus import * def max_tokenize(text, corpus_check, maxlen=8): start_idx = 0 while start...
[ "textwrap.fill", "jieba.add_word", "jieba.cut", "jieba.suggest_freq", "knowledge_graph.info_extract.utils.merge_partial_words", "collections.OrderedDict", "re.compile" ]
[((733, 779), 're.compile', 're.compile', (['"""[\\\\.,,。“”](无|未|未见)([一-龘、]+)[,。,]"""'], {}), "('[\\\\.,,。“”](无|未|未见)([一-龘、]+)[,。,]')\n", (743, 779), False, 'import re\n'), ((803, 822), 're.compile', 're.compile', (['"""[、及与]"""'], {}), "('[、及与]')\n", (813, 822), False, 'import re\n'), ((15430, 15488), 'knowledge_graph...
# Generated by Django 3.1 on 2020-08-27 09:00 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ("verification", "0014_auto_20200813_1415"), ] operations = [ migrations.AddField( model_name="companyverification", nam...
[ "django.db.models.CharField" ]
[((363, 451), 'django.db.models.CharField', 'models.CharField', ([], {'blank': '(True)', 'max_length': '(128)', 'null': '(True)', 'verbose_name': '"""Postal code"""'}), "(blank=True, max_length=128, null=True, verbose_name=\n 'Postal code')\n", (379, 451), False, 'from django.db import migrations, models\n'), ((617,...
#!/usr/bin/env python3 import re import sys import logging import os import ngram from datetime import datetime from gensim.models import Word2Vec def debug(msg): sys.stderr.write("{0}: {1}\n".format(str(datetime.now()), msg)) if __name__ == "__main__": dataFile = sys.argv[1] modelFile = sys.argv[2] #Factore...
[ "datetime.datetime.now", "ngram.SentenceNgramSampler", "gensim.models.Word2Vec", "logging.basicConfig" ]
[((537, 576), 'logging.basicConfig', 'logging.basicConfig', ([], {'level': 'logging.INFO'}), '(level=logging.INFO)\n', (556, 576), False, 'import logging\n'), ((589, 857), 'ngram.SentenceNgramSampler', 'ngram.SentenceNgramSampler', (['dataFile'], {'minCounts': 'freqFilter', 'tokFactor': 'tokFactor', 'posFactor': 'posFa...
#===============================================================================# # # # rmem executable model # # ===================== ...
[ "argparse.ArgumentParser", "sys.exit" ]
[((2283, 2308), 'argparse.ArgumentParser', 'argparse.ArgumentParser', ([], {}), '()\n', (2306, 2308), False, 'import argparse\n'), ((2745, 2756), 'sys.exit', 'sys.exit', (['(0)'], {}), '(0)\n', (2753, 2756), False, 'import sys\n')]
from __future__ import absolute_import from __future__ import print_function import numpy as np import random from keras.utils import np_utils from keras.datasets import mnist from keras.models import Model,Sequential from keras.layers import Input, Flatten, Dense, Dropout, Lambda, concatenate, Add from keras.optimize...
[ "keras.layers.Dropout", "keras.backend.epsilon", "keras.models.Model", "keras.backend.square", "keras.optimizers.RMSprop", "keras.utils.np_utils.to_categorical", "keras.callbacks.TensorBoard", "numpy.array", "numpy.mean", "keras.layers.Lambda", "keras.layers.Dense", "keras.layers.Input", "nu...
[((7099, 7116), 'numpy.array', 'np.array', (['x_train'], {}), '(x_train)\n', (7107, 7116), True, 'import numpy as np\n'), ((7126, 7142), 'numpy.array', 'np.array', (['x_test'], {}), '(x_test)\n', (7134, 7142), True, 'import numpy as np\n'), ((7248, 7265), 'numpy.array', 'np.array', (['y_train'], {}), '(y_train)\n', (72...
from eulerlib import sumDigits from time import time import math start = time() a = [None] ##count = 0 ##num = 10 ##while len(a) <= 30: ## base = sumDigits(num) ## power = base ## if power > 1: ## while power <= num: ## power *= base ## if power == num: ## count +...
[ "eulerlib.sumDigits", "time.time" ]
[((74, 80), 'time.time', 'time', ([], {}), '()\n', (78, 80), False, 'from time import time\n'), ((1044, 1050), 'time.time', 'time', ([], {}), '()\n', (1048, 1050), False, 'from time import time\n'), ((816, 830), 'eulerlib.sumDigits', 'sumDigits', (['num'], {}), '(num)\n', (825, 830), False, 'from eulerlib import sumDig...
# Copyright 2006 <NAME> and contributors # Copyright (C) 2009 <NAME> <<EMAIL>> # # 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 re...
[ "pyjamas.DOM.eventGetToElement", "pyjamas.DOM.eventGetType", "pyjamas.DOM.eventGetMouseWheelVelocityY", "pyjamas.DOM.eventGetClientY", "pyjamas.DOM.eventGetClientX", "pyjamas.DOM.eventPreventDefault" ]
[((937, 960), 'pyjamas.DOM.eventGetType', 'DOM.eventGetType', (['event'], {}), '(event)\n', (953, 960), False, 'from pyjamas import DOM\n'), ((777, 803), 'pyjamas.DOM.eventGetClientX', 'DOM.eventGetClientX', (['event'], {}), '(event)\n', (796, 803), False, 'from pyjamas import DOM\n'), ((855, 881), 'pyjamas.DOM.eventGe...
#!/usr/bin/env python # This file is part of tcollector. # Copyright (C) 2011 StumbleUpon, Inc. # # This program is free software: you can redistribute it and/or modify it # under the terms of the GNU Lesser General Public License as published by # the Free Software Foundation, either version 3 of the License, or (at ...
[ "os.getppid", "resource.getpagesize", "re.match", "os.setuid", "time.sleep", "sys.stdin.close", "time.time", "os.getuid", "sys.stdout.flush", "io.open", "pwd.getpwnam", "os.setgid", "sys.exit", "re.compile" ]
[((4333, 4354), 'os.setgid', 'os.setgid', (['ent.pw_gid'], {}), '(ent.pw_gid)\n', (4342, 4354), False, 'import os\n'), ((4359, 4380), 'os.setuid', 'os.setuid', (['ent.pw_uid'], {}), '(ent.pw_uid)\n', (4368, 4380), False, 'import os\n'), ((4441, 4458), 'sys.stdin.close', 'sys.stdin.close', ([], {}), '()\n', (4456, 4458)...
# Copyright 2017 Google 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 law or agreed to in writing,...
[ "copy.copy" ]
[((2153, 2176), 'copy.copy', 'copy.copy', (['special.init'], {}), '(special.init)\n', (2162, 2176), False, 'import copy\n')]
from django.core import paginator from django.http import Http404 from django.shortcuts import redirect, render from django.contrib.auth.models import User from django.contrib.auth import authenticate, login, logout from academy_app.models import CourseLectures, Courses, Curriculum, Enroll, Payment, PaymentDetail from ...
[ "django.core.paginator.page", "academy_app.models.Courses.objects.get", "academy_app.models.Enroll", "academy_app.models.PaymentDetail", "django.contrib.auth.models.User.objects.create_user", "django.contrib.auth.login", "django.contrib.auth.decorators.login_required", "django.contrib.auth.models.User...
[((2708, 2742), 'django.contrib.auth.decorators.login_required', 'login_required', ([], {'login_url': '"""/login"""'}), "(login_url='/login')\n", (2722, 2742), False, 'from django.contrib.auth.decorators import login_required\n'), ((2904, 2934), 'django.views.decorators.http.require_http_methods', 'require_http_methods...
import gym import numpy as np import pygame from pygame.locals import * import time import sys sys.path.append('../') ENV_NAME = 'PlaygroundNavigationHuman-v1' from src.playground_env.reward_function import sample_descriptions_from_state, get_reward_from_state from src.playground_env.descriptions import generate_all_...
[ "sys.path.append", "src.playground_env.reward_function.get_reward_from_state", "gym.make", "src.playground_env.reward_function.sample_descriptions_from_state", "pygame.event.get", "numpy.zeros", "pygame.init", "src.playground_env.descriptions.generate_all_descriptions", "time.sleep", "numpy.random...
[((96, 118), 'sys.path.append', 'sys.path.append', (['"""../"""'], {}), "('../')\n", (111, 118), False, 'import sys\n'), ((494, 559), 'gym.make', 'gym.make', (['ENV_NAME'], {'reward_screen': '(False)', 'viz_data_collection': '(True)'}), '(ENV_NAME, reward_screen=False, viz_data_collection=True)\n', (502, 559), False, '...
from django.contrib import admin from .models import ( Lesson, Code, Attempt, ) # Register your models here. class LessonAdmin(admin.ModelAdmin): fields = ['title', 'topic', 'description', 'difficulty'] admin.site.register(Lesson, LessonAdmin) class CodeAdmin(admin.ModelAdmin): fields = ['les...
[ "django.contrib.admin.site.register" ]
[((224, 264), 'django.contrib.admin.site.register', 'admin.site.register', (['Lesson', 'LessonAdmin'], {}), '(Lesson, LessonAdmin)\n', (243, 264), False, 'from django.contrib import admin\n'), ((348, 384), 'django.contrib.admin.site.register', 'admin.site.register', (['Code', 'CodeAdmin'], {}), '(Code, CodeAdmin)\n', (...
from ..store import dir_path as store_dir from ....share.scraper.pickle_utils import retrieve_pickle, store_as_pickle from functools import partial __all__ = ["retrieve_pickle", "store_as_pickle"] retrieve_pickle = partial(retrieve_pickle, pickle_dir=store_dir) store_as_pickle = partial(store_as_pickle, pickle_dir=st...
[ "functools.partial" ]
[((217, 263), 'functools.partial', 'partial', (['retrieve_pickle'], {'pickle_dir': 'store_dir'}), '(retrieve_pickle, pickle_dir=store_dir)\n', (224, 263), False, 'from functools import partial\n'), ((282, 328), 'functools.partial', 'partial', (['store_as_pickle'], {'pickle_dir': 'store_dir'}), '(store_as_pickle, pickle...
#%% import argparse import os import tempfile import mlflow import mlflow.pytorch import numpy as np import optuna import pandas as pd import torch import torch.optim as optim import torch.utils.data as data import yaml from dlkit import models from dlkit.criterions import Criterion from estimator impo...
[ "yaml.load", "argparse.ArgumentParser", "utils.geometry.project_onto_plane", "mlflow.get_artifact_uri", "torch.nn.CosineSimilarity", "utils.modules.line_notify", "utils.transformer.ScaleTransformer", "mlflow.log_artifacts", "torchvision.transforms.Normalize", "dlkit.criterions.Criterion", "panda...
[((12313, 12387), 'utils.dataloader.NpLaparoDataset', 'NpLaparoDataset', ([], {'phase': '"""train"""', 'ds_num': 'cfg.ds_num', 'input_size': 'resize_shape'}), "(phase='train', ds_num=cfg.ds_num, input_size=resize_shape)\n", (12328, 12387), False, 'from utils.dataloader import NpLaparoDataset\n'), ((12398, 12470), 'util...
#!/usr/bin/env python # from datetime import datetime from ispyb_api.core import core from ispyb_api.dbconnection import dbconnection from ispyb_api.tomo import tomo def store_dc(cursor, parentid): """Populate dict and store tomography datacollection""" params = tomo.get_dc_params() params["parentid"] =...
[ "ispyb_api.core.core.retrieve_visit_id", "ispyb_api.dbconnection.dbconnection.connect_to_prod", "ispyb_api.dbconnection.dbconnection.disconnect", "ispyb_api.tomo.tomo.get_dc_params", "ispyb_api.tomo.tomo.get_recon_params" ]
[((1612, 1642), 'ispyb_api.dbconnection.dbconnection.connect_to_prod', 'dbconnection.connect_to_prod', ([], {}), '()\n', (1640, 1642), False, 'from ispyb_api.dbconnection import dbconnection\n'), ((1655, 1697), 'ispyb_api.core.core.retrieve_visit_id', 'core.retrieve_visit_id', (['cursor', '"""ee9478-1"""'], {}), "(curs...
import torchvision if __name__ == "__main__": root = './' trainset = torchvision.datasets.MNIST( root=root, train=True, download=True, ) testset = torchvision.datasets.MNIST( root=root, train=False, download=True, )
[ "torchvision.datasets.MNIST" ]
[((78, 142), 'torchvision.datasets.MNIST', 'torchvision.datasets.MNIST', ([], {'root': 'root', 'train': '(True)', 'download': '(True)'}), '(root=root, train=True, download=True)\n', (104, 142), False, 'import torchvision\n'), ((189, 254), 'torchvision.datasets.MNIST', 'torchvision.datasets.MNIST', ([], {'root': 'root',...
""" .. module: swag_api.common.health :platform: Unix :copyright: (c) 2019 by Netflix Inc., see AUTHORS for more :license: Apache, see LICENSE for more details. .. moduleauthor:: <NAME> <<EMAIL>> .. moduleauthor:: <NAME> <<EMAIL>> """ from flask import Blueprint, g, request from swag_api.extensions import s...
[ "flask.Blueprint", "swag_api.extensions.swag.health_check", "flask.request.method.lower" ]
[((331, 365), 'flask.Blueprint', 'Blueprint', (['"""healthCheck"""', '__name__'], {}), "('healthCheck', __name__)\n", (340, 365), False, 'from flask import Blueprint, g, request\n'), ((527, 546), 'swag_api.extensions.swag.health_check', 'swag.health_check', ([], {}), '()\n', (544, 546), False, 'from swag_api.extensions...
# -*- coding: utf-8 -*- from __future__ import unicode_literals from django.db import migrations, models from django.conf import settings import django.core.validators class Migration(migrations.Migration): dependencies = [ ('comun', '0001_initial'), migrations.swappable_dependency(s...
[ "django.db.models.OneToOneField", "django.db.migrations.swappable_dependency", "django.db.models.ManyToManyField", "django.db.models.TimeField", "django.db.models.AutoField", "django.db.models.IntegerField", "django.db.models.DateField", "django.db.models.DateTimeField" ]
[((287, 344), 'django.db.migrations.swappable_dependency', 'migrations.swappable_dependency', (['settings.AUTH_USER_MODEL'], {}), '(settings.AUTH_USER_MODEL)\n', (318, 344), False, 'from django.db import migrations, models\n'), ((3407, 3474), 'django.db.models.OneToOneField', 'models.OneToOneField', ([], {'null': '(Tru...
#!/usr/bin/env python3 import argparse import re def main(): parser = argparse.ArgumentParser( description="Extract selected stanzas from ncbitaxon.owl" ) parser.add_argument("input", type=str, help="The input ncbitaxon.owl file") parser.add_argument("taxa", type=str, help="The TSV file listi...
[ "argparse.ArgumentParser", "re.compile" ]
[((77, 164), 'argparse.ArgumentParser', 'argparse.ArgumentParser', ([], {'description': '"""Extract selected stanzas from ncbitaxon.owl"""'}), "(description=\n 'Extract selected stanzas from ncbitaxon.owl')\n", (100, 164), False, 'import argparse\n'), ((582, 600), 're.compile', 're.compile', (['"""\\\\d+"""'], {}), ...
import io import struct class Mzp: MAGIC = b"mrgd00" class EntryHeader: HEADER_FORMAT = "<HHHH" SECTOR_SIZE = 0x800 def __init__(self, data): (self._sector_offset, self._byte_offset, self._size_sectors, self._size_bytes) = struct.unp...
[ "io.BytesIO", "struct.unpack", "struct.pack" ]
[((1074, 1110), 'struct.unpack', 'struct.unpack', (['"""<6sH"""', 'raw_data[0:8]'], {}), "('<6sH', raw_data[0:8])\n", (1087, 1110), False, 'import struct\n'), ((1852, 1864), 'io.BytesIO', 'io.BytesIO', ([], {}), '()\n', (1862, 1864), False, 'import io\n'), ((1955, 1967), 'io.BytesIO', 'io.BytesIO', ([], {}), '()\n', (1...
from ivy import ivy_module as im from ivy.ivy_compiler import ivy_from_string from ivy.tk_ui import new_ui from ivy import ivy_utils as iu from ivy import ivy_check as ick prog = """#lang ivy1.5 type packet object intf = { action send(x:packet) action recv(x:packet) } object spec = { relation sent(X:pac...
[ "ivy.ivy_module.Module", "ivy.ivy_check.check_module", "ivy.ivy_utils.set_parameters", "ivy.ivy_compiler.ivy_from_string" ]
[((558, 569), 'ivy.ivy_module.Module', 'im.Module', ([], {}), '()\n', (567, 569), True, 'from ivy import ivy_module as im\n'), ((575, 640), 'ivy.ivy_utils.set_parameters', 'iu.set_parameters', (["{'mode': 'induction', 'show_compiled': 'true'}"], {}), "({'mode': 'induction', 'show_compiled': 'true'})\n", (592, 640), Tru...
#!/usr/bin/env python3 """Reference for a website, in IEEE format""" import dateutil.parser as dp import pyperclip import os authors = [] while True: author = input("Author: ") if author == "": break authors.append(author) title = input("Title: ") url = input("URL: ") publisher = input("Publisher: ...
[ "os.system", "pyperclip.copy" ]
[((827, 875), 'os.system', 'os.system', (["('cls' if os.name == 'nt' else 'clear')"], {}), "('cls' if os.name == 'nt' else 'clear')\n", (836, 875), False, 'import os\n'), ((915, 934), 'pyperclip.copy', 'pyperclip.copy', (['msg'], {}), '(msg)\n', (929, 934), False, 'import pyperclip\n')]
# File Manager (FM) # For reading from, writing, or appending to files # NonLocal Modules import os import hashlib import pickle # Returns all lines # Must pass file ext along as path def get_all(path): with open(path, 'r') as f: objects = f.readlines() for i in range(0, len(objects)): ...
[ "os.remove", "pickle.dump", "os.makedirs", "os.getcwd", "os.path.isdir", "os.path.exists", "os.path.isfile", "pickle.load", "os.chdir", "os.listdir" ]
[((2488, 2503), 'os.remove', 'os.remove', (['path'], {}), '(path)\n', (2497, 2503), False, 'import os\n'), ((2601, 2616), 'os.remove', 'os.remove', (['ndir'], {}), '(ndir)\n', (2610, 2616), False, 'import os\n'), ((2935, 2950), 'os.listdir', 'os.listdir', (['"""."""'], {}), "('.')\n", (2945, 2950), False, 'import os\n'...
from discord.ext import commands as cmd from .utils import checks from .utils.converters import MemberID, ActionReason, BannedMember from .utils.discord_search import choose_item import arrow from math import floor from datetime import timedelta from random import random import arrow from typing import Optional class...
[ "discord.ext.commands.command", "discord.ext.commands.BadArgument", "random.random", "arrow.utcnow", "arrow.Arrow.strptime" ]
[((408, 465), 'discord.ext.commands.command', 'cmd.command', ([], {'name': '"""cookie"""', 'aliases': "['kookie', 'cookies']"}), "(name='cookie', aliases=['kookie', 'cookies'])\n", (419, 465), True, 'from discord.ext import commands as cmd\n'), ((2004, 2048), 'discord.ext.commands.command', 'cmd.command', ([], {'name':...
# coding=utf-8 from __future__ import absolute_import, division, print_function from torchvision import transforms from data.data_list_image import Normalize def get_transform(dataset, img_size): if dataset in ['svhn2mnist', 'usps2mnist', 'mnist2usps']: transform_source = transforms.Compose([ ...
[ "torchvision.transforms.RandomHorizontalFlip", "torchvision.transforms.Normalize", "torchvision.transforms.ToTensor", "data.data_list_image.Normalize", "torchvision.transforms.RandomResizedCrop", "torchvision.transforms.RandomCrop", "torchvision.transforms.Resize" ]
[((323, 392), 'torchvision.transforms.RandomResizedCrop', 'transforms.RandomResizedCrop', (['(img_size, img_size)'], {'scale': '(0.75, 1.2)'}), '((img_size, img_size), scale=(0.75, 1.2))\n', (351, 392), False, 'from torchvision import transforms\n'), ((410, 431), 'torchvision.transforms.ToTensor', 'transforms.ToTensor'...
from portality.dao import DomainObject from portality.models.cache import Cache import sys import locale from copy import deepcopy class JournalArticle(DomainObject): __type__ = 'journal,article' __readonly__ = True # TODO actually heed this attribute in all DomainObject methods which modify data @classm...
[ "copy.deepcopy", "portality.models.cache.Cache.cache_site_statistics", "locale.resetlocale", "portality.models.cache.Cache.get_site_statistics", "locale.setlocale" ]
[((404, 431), 'portality.models.cache.Cache.get_site_statistics', 'Cache.get_site_statistics', ([], {}), '()\n', (429, 431), False, 'from portality.models.cache import Cache\n'), ((2855, 2889), 'portality.models.cache.Cache.cache_site_statistics', 'Cache.cache_site_statistics', (['stats'], {}), '(stats)\n', (2882, 2889...
# -- coding: utf-8 -- import numpy as np from sklearn.model_selection import train_test_split def load_data(file_path='/data/u.data'): """ 加载movielens评分数据 :param file_path: ratings数据存储位置 :return: 评分对(uid, mid, rating)数组,用户数量,电影数量 """ data = [] for line in open(file_path, 'r'): arr ...
[ "sklearn.model_selection.train_test_split", "numpy.max", "numpy.array", "numpy.unique" ]
[((467, 481), 'numpy.array', 'np.array', (['data'], {}), '(data)\n', (475, 481), True, 'import numpy as np\n'), ((795, 828), 'sklearn.model_selection.train_test_split', 'train_test_split', (['data', 'test_size'], {}), '(data, test_size)\n', (811, 828), False, 'from sklearn.model_selection import train_test_split\n'), (...
from collections import defaultdict import re import numpy as np import os import configure # Class Attribute that has variables: type, text, start, end class Attribute: def __init__(self, tag, text, start, end): self.tag = tag self.text = text self.start = start self.end = end ...
[ "os.path.join", "re.finditer", "collections.defaultdict", "re.search", "re.sub" ]
[((1036, 1053), 'collections.defaultdict', 'defaultdict', (['list'], {}), '(list)\n', (1047, 1053), False, 'from collections import defaultdict\n'), ((6712, 6741), 're.sub', 're.sub', (['"""\\\\s+"""', '""" """', 'new_text'], {}), "('\\\\s+', ' ', new_text)\n", (6718, 6741), False, 'import re\n'), ((6757, 6787), 're.su...
import unittest from unittest.mock import patch import programytest.storage.engines as Engines from programy.dialog.conversation import Conversation from programy.dialog.question import Question from programy.parser.pattern.match import Match from programy.parser.pattern.matchcontext import MatchContext from programy.p...
[ "programytest.client.TestClient", "unittest.skipIf", "programy.storage.stores.sql.dao.conversation.Match", "programy.storage.stores.sql.engine.SQLStorageEngine", "programy.storage.stores.sql.dao.conversation.MatchNode", "programy.dialog.question.Question", "programy.parser.pattern.nodes.word.PatternWord...
[((1299, 1358), 'unittest.skipIf', 'unittest.skipIf', (['(Engines.sql is False)', 'Engines.sql_disabled'], {}), '(Engines.sql is False, Engines.sql_disabled)\n', (1314, 1358), False, 'import unittest\n'), ((1609, 1668), 'unittest.skipIf', 'unittest.skipIf', (['(Engines.sql is False)', 'Engines.sql_disabled'], {}), '(En...
import glob import os BNC_CONFIG = os.path.join(os.path.dirname(__file__), 'bnc.cfg') class BaseBNC(object): def get_config(self): return BNC_CONFIG def list_filenames(self, dir_name): return sorted(glob.glob(os.path.join(dir_name, '*.xml'))) def get_genre(self, tree): return tr...
[ "os.path.dirname", "os.path.join" ]
[((49, 74), 'os.path.dirname', 'os.path.dirname', (['__file__'], {}), '(__file__)\n', (64, 74), False, 'import os\n'), ((237, 268), 'os.path.join', 'os.path.join', (['dir_name', '"""*.xml"""'], {}), "(dir_name, '*.xml')\n", (249, 268), False, 'import os\n')]
"""empty message Revision ID: c4a89e579e00 Revises: <PASSWORD> Create Date: 2016-06-08 19:39:22.067943 """ # revision identifiers, used by Alembic. revision = 'c4a89e579e00' down_revision = '<PASSWORD>' from alembic import op import sqlalchemy as sa def upgrade(): ### commands auto generated by Alembic - plea...
[ "alembic.op.drop_table", "sqlalchemy.PrimaryKeyConstraint", "sqlalchemy.Text", "sqlalchemy.ForeignKeyConstraint", "sqlalchemy.Integer" ]
[((835, 855), 'alembic.op.drop_table', 'op.drop_table', (['"""tou"""'], {}), "('tou')\n", (848, 855), False, 'from alembic import op\n'), ((588, 639), 'sqlalchemy.ForeignKeyConstraint', 'sa.ForeignKeyConstraint', (["['audit_id']", "['audit.id']"], {}), "(['audit_id'], ['audit.id'])\n", (611, 639), True, 'import sqlalch...
# # Copyright 2012-2014 <NAME> # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, so...
[ "multigtfs.models.base.models.PointField", "multigtfs.models.base.models.CharField", "multigtfs.models.base.models.FloatField", "jsonfield.JSONField", "multigtfs.models.base.models.LineStringField", "django.dispatch.receiver", "django.contrib.gis.geos.LineString", "multigtfs.models.base.models.Foreign...
[((4352, 4427), 'django.dispatch.receiver', 'receiver', (['post_save'], {'sender': 'ShapePoint', 'dispatch_uid': '"""post_save_shapepoint"""'}), "(post_save, sender=ShapePoint, dispatch_uid='post_save_shapepoint')\n", (4360, 4427), False, 'from django.dispatch import receiver\n'), ((1046, 1097), 'multigtfs.models.base....
from chainer.serializers import npz from chainer.training import extension from chainer.training.extensions._snapshot import _snapshot_object from chainer.training import trigger as trigger_module from chainer.training.triggers import IntervalTrigger import six from chainerui.utils.command_item import CommandItem from...
[ "chainerui.utils.command_item.CommandItem.dump_commands", "chainerui.utils.command_item.CommandItem.load_commands", "chainer.training.trigger.get_trigger", "chainerui.utils.command_item.CommandItem.remove_commands_file", "chainerui.utils.commands_state.CommandsState.stop", "chainerui.utils.commands_state....
[((1046, 1079), 'six.iteritems', 'six.iteritems', (['request_hyperparam'], {}), '(request_hyperparam)\n', (1059, 1079), False, 'import six\n'), ((3627, 3662), 'chainer.training.trigger.get_trigger', 'trigger_module.get_trigger', (['trigger'], {}), '(trigger)\n', (3653, 3662), True, 'from chainer.training import trigger...
# coding=utf-8 import datetime from pprint import pprint from string import punctuation import os import random import re import yaml from adapt.intent import IntentBuilder from adapt.engine import IntentDeterminationEngine from chronyk import chronyk from dateparser import parse from zentropi import Agent, Frame, KIN...
[ "os.path.abspath", "zentropi.utils.run_agents_forever", "chronyk.chronyk.Chronyk", "zentropi.on_event", "zentropi.handlers.HandlerRegistry", "nltk.corpus.wordnet.synsets", "zentropi.handlers.Handler", "random.choice", "datetime.datetime.now", "pprint.pprint", "dateparser.parse", "zentropi.on_m...
[((8410, 8447), 'zentropi.utils.run_agents_forever', 'run_agents_forever', (['agent'], {'shell': '(True)'}), '(agent, shell=True)\n', (8428, 8447), False, 'from zentropi.utils import StopAgent, run_agents_forever\n'), ((1551, 1578), 'adapt.engine.IntentDeterminationEngine', 'IntentDeterminationEngine', ([], {}), '()\n'...
import os import shutil import sys dirs = list(sys.argv[1:]) s, e = len('epoch_'), -len('.pth') while len(dirs) != 0: the_dir = dirs.pop(0) epoch_fpath_map = {} for f in os.listdir(the_dir): fpath = os.path.join(the_dir, f) if os.path.isdir(fpath): dirs.append(fpath) el...
[ "os.path.isdir", "os.remove", "os.path.join", "os.listdir" ]
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import io import os import logging import boto3 import random logger = logging.getLogger() logger.setLevel(logging.INFO) def handler(event, context): logger.info(event) # Load event variables logs_input_bucket = event['cloudtrail_bucket'] logs_input_prefix = event['cloudtrail_key'] logs_aws_accoun...
[ "boto3.session.Session", "logging.getLogger", "boto3.client" ]
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import mailbox import os import time import unittest from test import test_support # cleanup earlier tests try: os.unlink(test_support.TESTFN) except os.error: pass DUMMY_MESSAGE = """\ From: <EMAIL> To: <EMAIL> This is a dummy message. """ class MaildirTestCase(unittest.TestCase): def setUp(self): ...
[ "os.mkdir", "os.unlink", "time.time", "test.test_support.run_unittest", "os.link", "os.rmdir", "os.path.join", "mailbox.Maildir" ]
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import abc import logging import os import subprocess as sp from collections import OrderedDict from enum import Enum from .simulation import Simulation logger = logging.getLogger(__name__) class AMBER(Simulation, abc.ABC): """ A wrapper for setting parameters and running MD with AMBER. """ class T...
[ "subprocess.Popen", "os.path.isfile", "collections.OrderedDict", "os.path.join", "logging.getLogger" ]
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#!/usr/bin/env python # Created Time: Thu 19 Jul 2018 09:13:02 PM CST # Author: <NAME> <<EMAIL>> import subprocess from config import cfg model_urls = { 'resnet50': 'https://download.pytorch.org/models/resnet50-19c8e357.pth', 'vgg16': 'https://download.pytorch.org/models/vgg16-397923af.pth', } for model_name...
[ "subprocess.call" ]
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