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'''Basic socket example''' import socket SERVER_ADDR = input("What server do you want to connect to? ") SOCK = socket.socket(socket.AF_INET, socket.SOCK_STREAM) SOCK.connect((SERVER_ADDR, 80)) SOCK.send(b"GET / HTTP/1.1\r\nHost: " + bytes(SERVER_ADDR, "utf8") + b"\r\nConnection: close\r\n\r\n") RE...
[ "socket.socket" ]
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from setuptools import setup, find_packages install_requires = [ 'bottle' ] setup( name='appname', version='0.1.0', packages=find_packages(), package_data={ '': ['*.html'] }, entry_points={ 'console_scripts': [ 'appname=appname.__main__:main' ] }, install_requires=install_requ...
[ "setuptools.find_packages" ]
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import cv2 from geosolver.diagram.draw_on_image import draw_point, draw_instance, draw_label from geosolver.ontology.ontology_semantics import evaluate from geosolver.utils.prep import display_image __author__ = 'minjoon' class ImageSegment(object): def __init__(self, segmented_image, sliced_image, binarized_se...
[ "geosolver.ontology.ontology_semantics.evaluate", "geosolver.diagram.draw_on_image.draw_point", "geosolver.utils.prep.display_image", "cv2.cvtColor", "geosolver.diagram.draw_on_image.draw_instance", "geosolver.diagram.draw_on_image.draw_label" ]
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from django.urls import include, path from rest_framework import routers from . import views router = routers.DefaultRouter() router.register(r"", views.AnalysisViewSet, basename="Analysis") urlpatterns = [path("v1/analysis/", include(router.urls))]
[ "rest_framework.routers.DefaultRouter", "django.urls.include" ]
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#! /usr/bin/env python # -*- coding: utf-8 -*- # Pocket PiAP # ...................................................................... # Copyright (c) 2017-2020, <NAME> # ...................................................................... # Licensed under MIT (the "License"); # you may not use this file except in co...
[ "book.logs.logs.log", "context.unittest.main", "context.unittest.skipUnless", "book.logs.logs", "book.logs.logs.main" ]
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""" Author: <NAME> Since: 2019-12 """ import json import querybuilder as qb import importlib importlib.reload(qb) with open('./config.json', 'rb') as file: CONFIG = json.load(fp=file) SAFRAS = ['201901'] QUERY_DICT = CONFIG["123456"] print(qb.ConfigQueryReader(SAFRAS, QUERY_DICT)\ .build())
[ "json.load", "querybuilder.ConfigQueryReader", "importlib.reload" ]
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import dataclasses @dataclasses.dataclass class User: name: str features: list = dataclasses.field(default_factory=list)
[ "dataclasses.field" ]
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""" Work with analyses in the database. """ import asyncio from typing import Any, Dict, List, Optional, Tuple import virtool.bio import virtool.db.utils import virtool.utils from virtool.config.cls import Config from virtool.indexes.db import get_current_id_and_version from virtool.subtractions.db import attach_subt...
[ "virtool.subtractions.db.attach_subtractions", "virtool.indexes.db.get_current_id_and_version", "virtool.users.db.attach_user", "asyncio.sleep" ]
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import typing import numpy as np def find_divisors( n: int, ) -> np.array: i = np.arange(int(n ** .5)) i += 1 i = i[n % i == 0] i = np.hstack((i, n // i)) return np.unique(i) def gpf( n: int = 1 << 20, ) -> np.array: s = np.arange(n) s[:2] = -1 i = 0 while i * i < n - 1: i += 1 if s...
[ "numpy.unique", "numpy.hstack", "numpy.flatnonzero", "numba.njit", "numba.pycc.CC", "my_module.solve", "numpy.arange" ]
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# coding: utf-8 """List of classes aiming to extract information from a history OSM data file. This information deals with OSM element history, or tag genome history. Other extracts are possible, however we let these developments for further investigations. """ import pandas as pd import osmium as osm ##### DEFAUL...
[ "pandas.Timestamp", "osmium.SimpleHandler.__init__" ]
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import re from django.db import models from django.utils.translation import ugettext_lazy as _ from cms.models import CMSPlugin from os.path import basename class Video(CMSPlugin): CLICK_TARGET_BLANK = '_blank' CLICK_TARGET_SELF = '_self' CLICK_TARGET_PARENT = '_parent' WMODE_WINDOW = 'window' ...
[ "django.utils.translation.ugettext_lazy", "re.match", "os.path.basename" ]
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from utils import logger_utils from utils.enums.status import Status class Blueprint(object): def __init__(self, name, b_type): self.name = name self.type = b_type def to_dict(self): return { "NAME": self.name, "TYPE": self.type } def __str__(self...
[ "utils.logger_utils.get_logger" ]
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#!/usr/bin/env python3 import sys, os, re, math, copy import numpy as np import matplotlib.pyplot as plt from matplotlib.patches import Circle, PathPatch # import the Python wrapper from dubinswrapper import DubinsWrapper as dubins ################################################ # Scenarios ########################...
[ "dubinswrapper.DubinsWrapper.shortest_path_GDIP", "dubinswrapper.DubinsWrapper.shortest_path", "os.makedirs", "matplotlib.pyplot.gca", "matplotlib.pyplot.plot", "math.sqrt", "matplotlib.pyplot.clf", "matplotlib.pyplot.axis", "math.cos", "numpy.array", "numpy.zeros", "numpy.argmin", "numpy.mi...
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from __future__ import print_function from __future__ import division from __future__ import unicode_literals from __future__ import absolute_import import numpy as np import matplotlib.pyplot as plt import matplotlib.cm as cm from matplotlib import gridspec from kcsd import csd_profile as CSD from kcsd import Validat...
[ "numpy.mean", "numpy.abs", "matplotlib.pyplot.savefig", "matplotlib.pyplot.colorbar", "kCSD_with_reliability_map_2D.make_reconstruction", "kCSD_with_reliability_map_2D.matrix_symmetrization", "numpy.linspace", "matplotlib.pyplot.figure", "matplotlib.gridspec.GridSpec", "numpy.zeros", "matplotlib...
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import taos import logging import functools from taostd import cache from datetime import datetime, timedelta from taostd.model import TDCtx, TDError, Engine, ConnectionCtx, Dict, MultiColumnsError from taostd.bind import bind_params, batch_bind_params from taostd.sql import get_sql_tags, get_sql_values, get_insert_sql...
[ "taostd.model.MultiColumnsError", "logging.debug", "taostd.sql.get_insert_sql", "taostd.sql.get_sql_values", "copy.deepcopy", "taostd.cache.delete", "datetime.timedelta", "logging.info", "taostd.model.ConnectionCtx", "logging.error", "taostd.sql.get_sql_tags", "taostd.cache.get", "taostd.mod...
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''' [LICENSE] Copyright (c) 2017, Alliance for Sustainable Energy. 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 must retain the above copyright notice, this list...
[ "logging.getLogger", "collections.OrderedDict", "gdxpds.gdx.GdxFile" ]
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import factory from faker import Faker from src.association.tests.factories import ModelFactory from src.customers.domain.entities import Customer fake = Faker() class CustomerFactory(ModelFactory): class Meta: model = Customer user_id = factory.LazyAttribute(lambda _: fake.pyint(min_value=1, max_v...
[ "faker.Faker", "factory.LazyAttribute" ]
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#!/usr/bin/env python import argparse import rospy from nav_msgs.msg import Odometry from tf.transformations import euler_from_quaternion, quaternion_from_euler import os import datetime from sensor_msgs.msg import Image, CameraInfo, Imu, PointCloud2 from nav_msgs.msg import Odometry from tf2_msgs.msg import TFMessage...
[ "rospy.logerr", "argparse.ArgumentParser", "rospy.logwarn", "rospy.init_node", "os.path.join", "os.getcwd", "rospy.Duration", "datetime.datetime.now", "datetime.timedelta", "rospy.spin", "message_filters.Subscriber", "message_filters.ApproximateTimeSynchronizer", "rospy.loginfo" ]
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""" @author: <NAME> <<EMAIL>> """ import os import argparse from torch.utils.data import DataLoader import torch.nn as nn import torch from src.voc_dataset import VOCDataset from src.utils import custom_collate_fn, multiple_losses, update_lr, get_optimizer from src.deeplab import Deeplab from tensorboardX import Summar...
[ "src.utils.get_optimizer", "torch.utils.data.DataLoader", "torch.cuda.is_available", "src.utils.update_lr", "tensorboardX.SummaryWriter", "argparse.ArgumentParser", "src.voc_dataset.VOCDataset", "os.path.isdir", "torch.Tensor", "torch.save", "torch.manual_seed", "src.deeplab.Deeplab", "os.ma...
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import os, shutil, atexit from trajectory import app as application if __name__ == "__main__": def app_atexit(): # remove all trajectory data temp_dir = application.config.get('TEMP_DIR') for file in os.listdir(temp_dir): if os.path.isdir(os.path.join(temp_dir, file)): ...
[ "os.listdir", "trajectory.app.config.get", "os.path.join", "atexit.register", "trajectory.app.run" ]
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""" # Copyright 2022 Red Hat # # 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...
[ "cibyl.plugins.enable_plugins", "cibyl.plugins.openstack.Plugin" ]
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""" Custom integration to integrate DPC-Alert with Home Assistant. For more details about this integration, please refer to https://github.com/caiosweet/Home-Assistant-custom-components-DPC-Alert """ from __future__ import annotations import asyncio from datetime import timedelta from homeassistant.config_entries im...
[ "homeassistant.helpers.event.async_call_later", "homeassistant.helpers.update_coordinator.UpdateFailed", "homeassistant.helpers.aiohttp_client.async_get_clientsession" ]
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import json import requests import os webhook_url = os.environ['RELAY_WEBHOOK_URL'] def lambda_handler(event, context): print(event) response = requests.post( webhook_url, data=json.dumps(event), headers={'Content-Type': 'application/json'} ) if response.status_code != 200: ret...
[ "json.dumps" ]
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import logging from logging import handlers import re from src.utils import config import jieba import json from tqdm import tqdm # jieba.enable_parallel(4) import pandas as pd import time from functools import partial, wraps from datetime import timedelta tqdm.pandas() def timethis(func=None, log=logging.getLogger(...
[ "logging.getLogger", "jieba.lcut", "logging.StreamHandler", "pandas.read_csv", "logging.Formatter", "functools.wraps", "logging.handlers.TimedRotatingFileHandler", "functools.partial", "pandas.concat", "re.sub", "tqdm.tqdm.pandas", "time.time" ]
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import requests from typing import List from bs4 import BeautifulSoup import http.cookiejar as cookielib import numpy as np import re crawl_header = {"user-agent" : "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_7_0) AppleWebKit/535.11 (KHTML, like Gecko) Chrome/17.0.963.56 Safari/535.11"} # 根据工资获取中间段 def get_midfix(sala...
[ "bs4.BeautifulSoup", "numpy.sum", "re.findall", "requests.get" ]
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import pdb from collections import namedtuple from pathlib import Path import z3 import sage.all import helpers.vcommon as CM from helpers.miscs import Miscs import data.prog import settings DBG = pdb.set_trace mlog = CM.getLogger(__name__, settings.logger_level) class SymbsVals(namedtuple("SymbsVals", ("ss", "v...
[ "z3.And", "collections.namedtuple", "helpers.vcommon.getLogger", "helpers.miscs.Miscs.is_expr", "helpers.miscs.Miscs.rat2str", "helpers.miscs.Miscs.get_vars" ]
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import unittest from pprint import pprint from typing import Optional from dataclasses import dataclass from xrpc.const import SERVER_SERDE_INST from xrpc.serde.abstract import SerdeSet from xrpc.serde.error import SerdeException @dataclass class ObjV1: a: int @dataclass class ObjV2Err(ObjV1): b: int @d...
[ "xrpc.serde.abstract.SerdeSet.walk", "pprint.pprint" ]
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#!/usr/bin/env python # vim: set et sw=4 sts=4 fileencoding=utf-8: # # Copyright (c) 2013-2017 <NAME> <<EMAIL>> # Copyright (c) 2013 Mime Consulting Ltd. <<EMAIL>> # All rights reserved. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation file...
[ "setuptools.find_packages", "os.path.join", "codecs.register", "os.path.dirname", "codecs.lookup" ]
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import webbrowser as wb import tkinter from tkinter import messagebox window = tkinter.Tk() window.title("Calculator") btn_add = tkinter.Button(window, text="Addition", font=("Consolas", 12)) btn_add.pack(padx=10, pady=10) count1 = 0 def click1(event): global count1 count1 = count1 + 1 if c...
[ "webbrowser.get", "tkinter.Tk", "tkinter.messagebox.showinfo", "tkinter.Button" ]
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from flask_wtf import FlaskForm from wtforms import StringField, PasswordField, SubmitField, BooleanField from wtforms.validators import DataRequired, Length, Email, EqualTo from wtforms_sqlalchemy.fields import QuerySelectField from fellowcrm.settings.models import Currency, TimeZone class NewSystemUser(FlaskForm):...
[ "wtforms.validators.Email", "wtforms.BooleanField", "wtforms.SubmitField", "wtforms.validators.EqualTo", "wtforms.validators.Length", "wtforms.validators.DataRequired" ]
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import unittest from sys import argv from decocli.api import cli_class from decocli.cli import CLI from decocli.mbr.subcli import SubCLI class TestPyCLI(unittest.TestCase): def setUp(self): a = argv a.clear() a.append('decoCLI.py') CLI.clear() CLI.set_param('--name', 'nam...
[ "decocli.mbr.subcli.SubCLI", "decocli.cli.CLI.clear", "decocli.cli.CLI.exec_seq", "decocli.cli.CLI.exec", "decocli.cli.CLI.set_cmd", "decocli.cli.CLI.add_sub_cli", "unittest.main", "decocli.cli.CLI.set_param" ]
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""" Django settings for bc project. """ import os import sys from wagtail.embeds.oembed_providers import youtube import dj_database_url import raven from raven.exceptions import InvalidGitRepository env = os.environ.copy() # Build paths inside the project like this: os.path.join(BASE_DIR, ...) PROJECT_DIR = os.pat...
[ "dj_database_url.config", "os.path.join", "os.environ.copy", "os.path.dirname", "os.path.abspath", "logging.disable", "raven.fetch_git_sha" ]
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"""Any function from n inputs to m outputs""" import logging from itertools import zip_longest import pypes.component log = logging.getLogger(__name__) def default_function(*args): "pass" return args class NMFunction(pypes.component.Component): """ mandatory input packet attributes: - data: f...
[ "logging.getLogger", "itertools.zip_longest" ]
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import os import math import json from bitarray import bitarray from bitarray.util import ba2int, int2ba class LECAlgorithm: MAX_BITS = 14 def __init__(self): self.table = ['00', '010', '011', '100', '101', '110', '1110', '11110', '111110', '1111110', '11111110', '111111110', '1111111110', '11111111110', '111...
[ "os.path.getsize", "bitarray.util.ba2int", "bitarray.bitarray" ]
[((415, 437), 'bitarray.bitarray', 'bitarray', ([], {'endian': '"""big"""'}), "(endian='big')\n", (423, 437), False, 'from bitarray import bitarray\n'), ((2224, 2246), 'bitarray.bitarray', 'bitarray', ([], {'endian': '"""big"""'}), "(endian='big')\n", (2232, 2246), False, 'from bitarray import bitarray\n'), ((1074, 110...
# Copyright 2018 DataStax, 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 writin...
[ "src.utils.pick_value", "src.utils.argus_debug", "src.utils.get_input" ]
[((2892, 2943), 'src.utils.get_input', 'get_input', (['"""Remove [i]nclude, [e]xclude, or [q]uit"""'], {}), "('Remove [i]nclude, [e]xclude, or [q]uit')\n", (2901, 2943), False, 'from src.utils import argus_debug, get_input, pick_value\n'), ((2994, 3045), 'src.utils.pick_value', 'pick_value', (['"""Remove which include?...
import numpy as np from pymoo.model.survival import Survival from pymoo.util.misc import calc_constraint_violation class FitnessSurvival(Survival): """ This survival method is just for single-objective algorithm. Simply sort by first constraint violation and then fitness value and truncate the worst ind...
[ "pymoo.util.misc.calc_constraint_violation", "numpy.zeros" ]
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#!/usr/bin/env python3 # Copyright 2018 Brocade Communications Systems 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 also obtain a copy of the License at # http://www.apache.org/licenses/LICENS...
[ "pyfos.pyfos_auth.logout", "pyfos.utils.brcd_util.getsession", "pyfos.utils.brcd_util.parse", "sys.exit", "pyfos.pyfos_brocade_fibrechannel_configuration.fabric", "pyfos.pyfos_util.response_print" ]
[((4657, 4675), 'pyfos.pyfos_brocade_fibrechannel_configuration.fabric', 'fabric', (['value_dict'], {}), '(value_dict)\n', (4663, 4675), False, 'from pyfos.pyfos_brocade_fibrechannel_configuration import fabric\n'), ((5131, 5201), 'pyfos.utils.brcd_util.parse', 'brcd_util.parse', (['argv', 'fabric', 'filters', '_valida...
import turtle as t t.goto(100,0) for i in range(50): t.left(80) t.fd(100) t.left(135) t.fd(105)
[ "turtle.goto", "turtle.left", "turtle.fd" ]
[((19, 33), 'turtle.goto', 't.goto', (['(100)', '(0)'], {}), '(100, 0)\n', (25, 33), True, 'import turtle as t\n'), ((58, 68), 'turtle.left', 't.left', (['(80)'], {}), '(80)\n', (64, 68), True, 'import turtle as t\n'), ((73, 82), 'turtle.fd', 't.fd', (['(100)'], {}), '(100)\n', (77, 82), True, 'import turtle as t\n'), ...
#!/usr/bin/env pytest import pytest import sys sys.path.append("..") from glm import vec3 from qork.util import * from qork.node import Node from qork.minimal import MinimalCore from qork.util import walk def test_node(): world = Node() # move/position assert fcmp(world.position, vec3(0)) world.mov...
[ "qork.node.Node", "glm.vec3", "sys.path.append" ]
[((48, 69), 'sys.path.append', 'sys.path.append', (['""".."""'], {}), "('..')\n", (63, 69), False, 'import sys\n'), ((238, 244), 'qork.node.Node', 'Node', ([], {}), '()\n', (242, 244), False, 'from qork.node import Node\n'), ((490, 497), 'glm.vec3', 'vec3', (['(0)'], {}), '(0)\n', (494, 497), False, 'from glm import ve...
from textx.model import children_of_type, metamodel # should probably go into handcoded 'FuncDef' class def side_effects(funcdef): if funcdef.is_procedure: side_effs = [asgn.variable.name for asgn in children_of_type('Assignment', funcdef) if is_assignment(asgn) ...
[ "textx.model.children_of_type", "textx.model.metamodel" ]
[((768, 802), 'textx.model.children_of_type', 'children_of_type', (['"""Negation"""', 'node'], {}), "('Negation', node)\n", (784, 802), False, 'from textx.model import children_of_type, metamodel\n'), ((851, 885), 'textx.model.children_of_type', 'children_of_type', (['"""FuncCall"""', 'node'], {}), "('FuncCall', node)\...
from rest_framework.views import APIView, Response from myapp.models import User, File, UserBrowseFile, UserKeptFile, Team, Comment from myapp.serializers import CommentSer from myapp.views import chk_token from .userfile import chk_file_id class CommentFile(APIView): def post(self, request): token = requ...
[ "myapp.serializers.CommentSer", "myapp.models.User.objects.get", "myapp.views.chk_token", "myapp.models.Comment.objects.create" ]
[((501, 517), 'myapp.views.chk_token', 'chk_token', (['token'], {}), '(token)\n', (510, 517), False, 'from myapp.views import chk_token\n'), ((599, 627), 'myapp.models.User.objects.get', 'User.objects.get', ([], {'pk': 'user_id'}), '(pk=user_id)\n', (615, 627), False, 'from myapp.models import User, File, UserBrowseFil...
#!/usr/bin/env python3 # -*- coding: utf-8 -*- # wxgonk.py # TODO: # Eventually, index.html should be used # to present the data (i.e. build the display table). For troubleshooting # purposes, can also turn this into an AFI 11-202v3 tutorial. # -Include an option for using USAF rules vice FAA rules. Under FAA rule...
[ "logging.basicConfig", "random.choice", "logging.debug", "countries.make_country_dict", "wxurlmaker.make_adds_url", "datetime.datetime.strptime", "wxurlmaker.make_metar_taf_url", "re.match", "logging.warning", "requests.get", "countries.is_valid_country", "countries.country_name_from_code", ...
[((1107, 1288), 'logging.basicConfig', 'logging.basicConfig', ([], {'level': 'logging.DEBUG', 'filename': '""".logs/test.log"""', 'filemode': '"""w"""', 'format': '"""\n%(asctime)s - %(filename)s: line %(lineno)s, %(funcName)s: %(message)s"""'}), '(level=logging.DEBUG, filename=\'.logs/test.log\',\n filemode=\'w\', ...
from django.db import models from django.contrib.auth import get_user_model, authenticate, login, logout User = get_user_model() # Create your models here. class Teacher(models.Model): name = models.CharField(max_length=100) email = models.EmailField(max_length=255, unique=True, verbose_name='email address')...
[ "django.contrib.auth.get_user_model", "django.db.models.EmailField", "django.db.models.ForeignKey", "django.db.models.BooleanField", "django.db.models.CharField" ]
[((113, 129), 'django.contrib.auth.get_user_model', 'get_user_model', ([], {}), '()\n', (127, 129), False, 'from django.contrib.auth import get_user_model, authenticate, login, logout\n'), ((199, 231), 'django.db.models.CharField', 'models.CharField', ([], {'max_length': '(100)'}), '(max_length=100)\n', (215, 231), Fal...
""" Author: <NAME> Last change: 7pm 8/12/2020 linkedin: https://www.linkedin.com/in/abraham-lemus-ruiz/ """ import requests import pandas as pd import numpy as np from sklearn.metrics import accuracy_score,mean_squared_error, r2_score from sklearn.model_selection import train_test_split from sklearn.linear_model imp...
[ "requests.post", "sklearn.preprocessing.PolynomialFeatures", "pandas.read_csv", "sklearn.model_selection.train_test_split", "sklearn.preprocessing.OneHotEncoder", "sklearn.linear_model.Ridge", "sklearn.impute.KNNImputer", "sklearn.metrics.mean_squared_error", "sklearn.preprocessing.StandardScaler", ...
[((1859, 1904), 'pandas.read_csv', 'pd.read_csv', (['"""train_dataset_digitalhouse.csv"""'], {}), "('train_dataset_digitalhouse.csv')\n", (1870, 1904), True, 'import pandas as pd\n'), ((2693, 2914), 'sklearn.compose.ColumnTransformer', 'ColumnTransformer', (["[('ed_exp', numeric_transformer1, numeric_for_knnimputer1), ...
#!/usr/bin/env python # -*- coding: utf-8 -*- # @Time : 2019-04-17 15:58 # @Author : erwin import numpy as np from common.util_function import * np.set_printoptions(precision=3) arr = np.linspace(0, 100, 10).reshape((2, 5)) print_line("原始数据") print_br(arr) print_line("单个array操作") print_br(np.add(arr, 2)) print_b...
[ "numpy.abs", "numpy.multiply", "numpy.ceil", "numpy.sqrt", "numpy.add", "numpy.power", "numpy.round", "numpy.floor", "numpy.subtract", "numpy.linspace", "numpy.cos", "numpy.sin", "numpy.divide", "numpy.set_printoptions" ]
[((150, 182), 'numpy.set_printoptions', 'np.set_printoptions', ([], {'precision': '(3)'}), '(precision=3)\n', (169, 182), True, 'import numpy as np\n'), ((297, 311), 'numpy.add', 'np.add', (['arr', '(2)'], {}), '(arr, 2)\n', (303, 311), True, 'import numpy as np\n'), ((322, 341), 'numpy.subtract', 'np.subtract', (['arr...
from django.views.decorators.csrf import csrf_exempt from django.shortcuts import render from django.http import HttpResponse, HttpResponseBadRequest from django.contrib.auth import authenticate from django.db import connection from datetime import datetime from vehicle.models import Vehicle, Route, VehicleRoute, Vehic...
[ "logging.getLogger", "django.contrib.auth.authenticate", "json.loads", "django.http.HttpResponseBadRequest", "datetime.datetime.strptime", "django.http.HttpResponse", "json.dumps", "vehicle.models.VehicleStatus.objects.filter", "datetime.datetime.now", "vehicle.models.Route.objects.values_list", ...
[((529, 556), 'logging.getLogger', 'logging.getLogger', (['__name__'], {}), '(__name__)\n', (546, 556), False, 'import logging\n'), ((616, 667), 'django.http.HttpResponse', 'HttpResponse', (['"""{}"""'], {'content_type': '"""application/json"""'}), "('{}', content_type='application/json')\n", (628, 667), False, 'from d...
import discord from discord.ext import commands import random import asyncio PARTY_ROLE_ID = None # Give as a int class Role(commands.Cog): def __init__(self, bot): self.bot = bot @commands.command() async def party(self, ctx): role = ctx.guild.get_role(PARTY_ROLE_ID) ...
[ "random.randint", "discord.ext.commands.command", "asyncio.sleep" ]
[((211, 229), 'discord.ext.commands.command', 'commands.command', ([], {}), '()\n', (227, 229), False, 'from discord.ext import commands\n'), ((443, 461), 'asyncio.sleep', 'asyncio.sleep', (['(0.1)'], {}), '(0.1)\n', (456, 461), False, 'import asyncio\n'), ((394, 421), 'random.randint', 'random.randint', (['(0)', '(167...
import networkx import numpy import chainer from chainer_chemistry.dataset.graph_dataset.base_graph_dataset import PaddingGraphDataset, SparseGraphDataset # NOQA from chainer_chemistry.dataset.graph_dataset.base_graph_data import PaddingGraphData, SparseGraphData # NOQA from chainer_chemistry.dataset.graph_dataset.f...
[ "chainer_chemistry.dataset.graph_dataset.base_graph_dataset.SparseGraphDataset", "numpy.ones", "networkx.to_numpy_array", "numpy.argsort", "numpy.array", "numpy.empty", "chainer_chemistry.dataset.graph_dataset.base_graph_dataset.PaddingGraphDataset", "numpy.all" ]
[((2023, 2060), 'numpy.empty', 'numpy.empty', (['n_edges'], {'dtype': 'numpy.int'}), '(n_edges, dtype=numpy.int)\n', (2034, 2060), False, 'import numpy\n'), ((2077, 2114), 'numpy.empty', 'numpy.empty', (['n_edges'], {'dtype': 'numpy.int'}), '(n_edges, dtype=numpy.int)\n', (2088, 2114), False, 'import numpy\n'), ((2132,...
# Generated by Django 3.0.10 on 2021-01-20 00:32 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('main', '0010_auto_20210120_0029'), ] operations = [ migrations.AddField( model_name='auctionlot', name='collected',...
[ "django.db.models.BooleanField" ]
[((339, 399), 'django.db.models.BooleanField', 'models.BooleanField', ([], {'default': '(False)', 'verbose_name': '"""Collected"""'}), "(default=False, verbose_name='Collected')\n", (358, 399), False, 'from django.db import migrations, models\n')]
import tensorflow as tf from datetime import datetime from packaging import version from tensorflow import keras import numpy as np def celsius_to_fahrenheit(c): return (c * (9/5)) + 32 model = keras.models.Sequential([ keras.layers.Dense(16, input_dim=1, activation='relu'), keras.layers.Dense(6, activat...
[ "numpy.random.normal", "tensorflow.keras.layers.Dense", "tensorflow.keras.callbacks.TensorBoard" ]
[((410, 453), 'tensorflow.keras.callbacks.TensorBoard', 'keras.callbacks.TensorBoard', ([], {'log_dir': 'logdir'}), '(log_dir=logdir)\n', (437, 453), False, 'from tensorflow import keras\n'), ((589, 630), 'numpy.random.normal', 'np.random.normal', ([], {'size': '(500, 224, 224, 3)'}), '(size=(500, 224, 224, 3))\n', (60...
import datetime import json from source.util.util_base.db import (get_multi_data, get_single_value, update_data) from source.util.util_data.basic_info import BasicInfo class NoteData: def __init__(self, db_conn): self.db_conn = db_conn async def note_insert(self...
[ "source.util.util_base.db.update_data", "json.loads", "source.util.util_base.db.get_multi_data", "datetime.datetime.now", "source.util.util_base.db.get_single_value" ]
[((3399, 3417), 'json.loads', 'json.loads', (['result'], {}), '(result)\n', (3409, 3417), False, 'import json\n'), ((613, 636), 'datetime.datetime.now', 'datetime.datetime.now', ([], {}), '()\n', (634, 636), False, 'import datetime\n'), ((653, 689), 'source.util.util_base.db.update_data', 'update_data', (['self.db_conn...
# Copyright (c) 2020, salesforce.com, inc. # All rights reserved. # SPDX-License-Identifier: BSD-3-Clause # For full license text, see the LICENSE file in the repo root or https://opensource.org/licenses/BSD-3-Clause import sys import torch import transformers import numpy as np from contexttimer import Timer from typ...
[ "transformers.TrainingArguments", "experiments.misc_utils.is_prediction_correct", "experiments.misc_utils.create_datasets", "experiments.remote_utils.save_and_mirror_scp_to_remote", "numpy.argmax", "numpy.squeeze", "experiments.misc_utils.get_dataloader", "experiments.misc_utils.create_tokenizer_and_m...
[((1520, 1610), 'experiments.misc_utils.get_dataloader', 'misc_utils.get_dataloader', ([], {'dataset': 'train_dataset', 'batch_size': 'batch_size', 'random': 'random'}), '(dataset=train_dataset, batch_size=batch_size,\n random=random)\n', (1545, 1610), False, 'from experiments import misc_utils\n'), ((1646, 1947), '...
import json import time from typing import Optional from json import JSONEncoder class TimeKept(): start: float stop: float range: float def __init__(self,start: float,stop: float,range: float): self.start = start self.stop = stop self.range = range def asdict(self): return {'start': ...
[ "json.dumps", "time.time" ]
[((1829, 1845), 'json.dumps', 'json.dumps', (['hout'], {}), '(hout)\n', (1839, 1845), False, 'import json\n'), ((724, 735), 'time.time', 'time.time', ([], {}), '()\n', (733, 735), False, 'import time\n')]
import numpy as np # PyTorch stuff import torch # ------ MINE-F LOSS FUNCTION ------ # def minef_loss(x_sample, y_sample, model, device): # Shuffle y-data for the second expectation idxs = np.random.choice( range(len(y_sample)), size=len(y_sample), replace=False) # We need y_shuffle attached to ...
[ "torch.log", "torch.mean", "torch.exp", "numpy.exp", "torch.tensor" ]
[((1190, 1266), 'torch.tensor', 'torch.tensor', (['x_sample'], {'dtype': 'torch.float', 'device': 'device', 'requires_grad': '(True)'}), '(x_sample, dtype=torch.float, device=device, requires_grad=True)\n', (1202, 1266), False, 'import torch\n'), ((1291, 1367), 'torch.tensor', 'torch.tensor', (['y_sample'], {'dtype': '...
# -*- coding: utf-8 -*- # Copyright 2020 Green Valley Belgium NV # # 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 appl...
[ "os.path.dirname", "solutions.common.models.vcard.VCardInfo.create_key" ]
[((877, 902), 'os.path.dirname', 'os.path.dirname', (['__file__'], {}), '(__file__)\n', (892, 902), False, 'import os\n'), ((1146, 1175), 'solutions.common.models.vcard.VCardInfo.create_key', 'VCardInfo.create_key', (['user_id'], {}), '(user_id)\n', (1166, 1175), False, 'from solutions.common.models.vcard import VCardI...
import glob import os.path as path import pandas from loader.Loader import Loader class IMDbLoader(Loader): def __init__(self, data_directory, pos_directory, neg_directory): super().__init__(['negative', 'positive']) self.data_directory = data_directory self.pos_directory = pos_director...
[ "pandas.DataFrame", "os.path.join", "glob.glob" ]
[((539, 607), 'pandas.DataFrame', 'pandas.DataFrame', (['(neg_data + pos_data)'], {'columns': "['sentiment', 'text']"}), "(neg_data + pos_data, columns=['sentiment', 'text'])\n", (555, 607), False, 'import pandas\n'), ((749, 799), 'os.path.join', 'path.join', (['self.data_directory', 'directory', '"""*.txt"""'], {}), "...
# -*- coding: utf-8 -*- # # # Copyright © 2017 Easy # # LICENSE: MIT """ name:local_readinglists_screen """ from kivy.app import App from kivy.clock import Clock from kivy.core.window import Window from kivy.metrics import dp from kivy.properties import ( BooleanProperty, DictProperty, NumericProperty,...
[ "kivy.properties.NumericProperty", "kivy.properties.DictProperty", "os.path.join", "libs.uix.baseclass.server_readinglists_screen.ReadingListComicImage", "kivy.app.App.get_running_app", "kivymd.toast.kivytoast.kivytoast.toast", "kivy.metrics.dp", "libs.utils.paginator.Paginator", "libs.utils.comic_j...
[((865, 881), 'kivy.properties.StringProperty', 'StringProperty', ([], {}), '()\n', (879, 881), False, 'from kivy.properties import BooleanProperty, DictProperty, NumericProperty, ObjectProperty, StringProperty\n'), ((900, 917), 'kivy.properties.NumericProperty', 'NumericProperty', ([], {}), '()\n', (915, 917), False, ...
#!/usr/bin/env python # coding: utf-8 -*- # # GNU General Public License v3.0+ # # Copyright 2022 Arista Networks AS-EMEA # # 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.ap...
[ "logging.getLogger", "traceback.format_exc", "concurrent.futures.ThreadPoolExecutor", "re.match", "os.cpu_count" ]
[((1780, 1807), 'logging.getLogger', 'logging.getLogger', (['__name__'], {}), '(__name__)\n', (1797, 1807), False, 'import logging\n'), ((1599, 1621), 'traceback.format_exc', 'traceback.format_exc', ([], {}), '()\n', (1619, 1621), False, 'import traceback\n'), ((15287, 15332), 're.match', 're.match', (['filter', 'devic...
""" This code defines a class which builds a suitable polygon problem. """ # Standard imports. import random # Local imports. import config from polygon import Polygon from word_arbiter import WordArbiter ############## # MAIN CLASS # ############## class PuzzleMaker: """ The class in question. """ def __in...
[ "word_arbiter.WordArbiter", "polygon.Polygon", "random.shuffle" ]
[((1554, 1576), 'random.shuffle', 'random.shuffle', (['result'], {}), '(result)\n', (1568, 1576), False, 'import random\n'), ((360, 373), 'word_arbiter.WordArbiter', 'WordArbiter', ([], {}), '()\n', (371, 373), False, 'from word_arbiter import WordArbiter\n'), ((640, 701), 'polygon.Polygon', 'Polygon', (['decomposition...
from django.db import models from django.core.validators import MinValueValidator, MaxValueValidator # Create your models here. class Template(models.Model): template_type=models.CharField(max_length=200,db_index=True) template_name=models.CharField(unique=True,max_length=200,db_index=True) slug=models.Sl...
[ "django.core.validators.MaxValueValidator", "django.db.models.TextField", "django.db.models.BooleanField", "django.db.models.SlugField", "django.db.models.ImageField", "django.core.validators.MinValueValidator", "django.db.models.CharField" ]
[((178, 225), 'django.db.models.CharField', 'models.CharField', ([], {'max_length': '(200)', 'db_index': '(True)'}), '(max_length=200, db_index=True)\n', (194, 225), False, 'from django.db import models\n'), ((243, 303), 'django.db.models.CharField', 'models.CharField', ([], {'unique': '(True)', 'max_length': '(200)', ...
import os from flask.app import Flask from oidcmsg.configure import Configuration from oidcmsg.configure import create_from_config_file from fedservice.configure import FedRPConfiguration from fedservice.rp import init_oidc_rp_handler dir_path = os.path.dirname(os.path.realpath(__file__)) def oidc_provider_init_ap...
[ "os.path.realpath", "fedservice.rp.init_oidc_rp_handler", "oidcmsg.configure.create_from_config_file", "flask.app.Flask" ]
[((265, 291), 'os.path.realpath', 'os.path.realpath', (['__file__'], {}), '(__file__)\n', (281, 291), False, 'import os\n'), ((395, 436), 'flask.app.Flask', 'Flask', (['name'], {'static_url_path': '""""""'}), "(name, static_url_path='', **kwargs)\n", (400, 436), False, 'from flask.app import Flask\n'), ((459, 607), 'oi...
from flask import Blueprint, request, jsonify from flask.ext.login import login_user, login_required from flask.ext.login import logout_user from extensions import login_manager, db from app_exceptions import UserInputError from .models import User user_app = Blueprint('user_app', __name__) @login_manager.user_loa...
[ "flask.ext.login.logout_user", "flask.request.form.get", "extensions.db.session.add", "extensions.db.session.commit", "flask.ext.login.login_user", "app_exceptions.UserInputError", "flask.Blueprint", "flask.jsonify" ]
[((263, 294), 'flask.Blueprint', 'Blueprint', (['"""user_app"""', '__name__'], {}), "('user_app', __name__)\n", (272, 294), False, 'from flask import Blueprint, request, jsonify\n'), ((461, 474), 'flask.ext.login.logout_user', 'logout_user', ([], {}), '()\n', (472, 474), False, 'from flask.ext.login import logout_user\...
import numpy as np import matplotlib.pyplot as plot import cPickle import mscentipede import argparse import gzip def plot_profile(footprint_model, background_model, mlen, protocol): foreground = np.array([1]) for j in xrange(footprint_model.J): foreground = np.array([p for val in foreground for p in ...
[ "argparse.ArgumentParser", "gzip.open", "numpy.array", "matplotlib.pyplot.figure", "cPickle.load", "numpy.arange" ]
[((202, 215), 'numpy.array', 'np.array', (['[1]'], {}), '([1])\n', (210, 215), True, 'import numpy as np\n'), ((467, 480), 'numpy.array', 'np.array', (['[1]'], {}), '([1])\n', (475, 480), True, 'import numpy as np\n'), ((730, 743), 'matplotlib.pyplot.figure', 'plot.figure', ([], {}), '()\n', (741, 743), True, 'import m...
""" !git clone https: // bitbucket.org / jadslim / german - traffic - signs !ls german - traffic - sign """ import numpy as np import matplotlib.pyplot as plt import keras from keras.models import Sequential from keras.optimizers import Adam from keras.layers import Dense from keras.layers import Flatten, Dropout from...
[ "pandas.read_csv", "matplotlib.pyplot.ylabel", "keras.preprocessing.image.ImageDataGenerator", "keras.layers.Dense", "matplotlib.pyplot.imshow", "matplotlib.pyplot.xlabel", "matplotlib.pyplot.plot", "numpy.asarray", "numpy.random.seed", "matplotlib.pyplot.axis", "keras.optimizers.Adam", "keras...
[((574, 591), 'numpy.random.seed', 'np.random.seed', (['(0)'], {}), '(0)\n', (588, 591), True, 'import numpy as np\n'), ((1900, 1949), 'pandas.read_csv', 'pd.read_csv', (['"""german-traffic-signs/signnames.csv"""'], {}), "('german-traffic-signs/signnames.csv')\n", (1911, 1949), True, 'import pandas as pd\n'), ((2010, 2...
# import standard packages # import external packages import numpy as np from mendeleev import element from math import pi, log # import internal packages import check_inputs import config import staticKS import convergence import writeoutput import xc class ISModel: def __init__( self, atom, ...
[ "check_inputs.ISModel.check_unbound", "math.log", "staticKS.Potential.calc_v_en", "staticKS.Density", "writeoutput.write_ISModel_data", "writeoutput.SCF", "check_inputs.ISModel.calc_nele", "check_inputs.ISModel.check_bc", "check_inputs.ISModel.check_spinmag", "staticKS.Energy", "check_inputs.Ene...
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import unittest import numpy as np from scipy.spatial.distance import cdist from hmc import mmd class TestMMD(unittest.TestCase): def test_mmd(self): n = int(1000*np.random.uniform()) m = int(1000*np.random.uniform()) k = int(10*np.random.uniform()) x = np.random.normal(size=(m, k...
[ "numpy.random.normal", "numpy.allclose", "numpy.triu_indices", "scipy.spatial.distance.cdist", "numpy.random.exponential", "numpy.sum", "numpy.random.uniform", "hmc.mmd" ]
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#!/usr/bin/env python3 import numpy as np import os import shutil from PIL import Image import cv2 from scipy.misc import imread pascal_colormap = [ 0, 0, 0, 0.5020, 0, 0, 0, 0.5020, 0, 0.5020, 0.5020, 0, 0, 0, 0.5020, 0.5020, 0, 0.5020, 0, 0.5020, 0.5020, 0.5020, 0.5020, 0.5020, 0...
[ "os.path.exists", "numpy.repeat", "os.makedirs", "numpy.where", "PIL.Image.new", "numpy.array", "scipy.misc.imread", "numpy.zeros", "cv2.cvtColor", "shutil.rmtree", "numpy.zeros_like" ]
[((9388, 9405), 'scipy.misc.imread', 'imread', (['image_dir'], {}), '(image_dir)\n', (9394, 9405), False, 'from scipy.misc import imread\n'), ((9769, 9793), 'PIL.Image.new', 'Image.new', (['"""P"""', '(16, 16)'], {}), "('P', (16, 16))\n", (9778, 9793), False, 'from PIL import Image\n'), ((10120, 10152), 'os.path.exists...
import datetime import operator import time from functools import reduce from app.main.model.snapshot_model import Snapshot from app.main.model.synonym_model import Synonym _current_milli_time = lambda: int(round(time.time() * 1000)) def _format_chart_date(date): return datetime.datetime.strftime(date, '%Y-%m-%...
[ "datetime.datetime.utcnow", "functools.reduce", "app.main.model.snapshot_model.Snapshot.query.select_from", "app.main.model.synonym_model.Synonym.synonym.in_", "operator.itemgetter", "datetime.datetime.strftime", "time.time" ]
[((279, 332), 'datetime.datetime.strftime', 'datetime.datetime.strftime', (['date', '"""%Y-%m-%d %H:%M:%S"""'], {}), "(date, '%Y-%m-%d %H:%M:%S')\n", (305, 332), False, 'import datetime\n'), ((2953, 2989), 'functools.reduce', 'reduce', (['(lambda x, y: x & y)', 'all_keys'], {}), '(lambda x, y: x & y, all_keys)\n', (295...
#/******************************************************************************** #* AUDETEMI INC. ("COMPANY") CONFIDENTIAL #*_______________________________________ #* #* Unpublished Copyright (c) 2015-2017 [AUDETEMI INC]. #* http://www.audetemi.com. #* All Rights Reserved. #* #* NOTICE: All information contained he...
[ "multimedia_chat.views.MessageList.as_view" ]
[((1953, 1980), 'multimedia_chat.views.MessageList.as_view', 'views.MessageList.as_view', ([], {}), '()\n', (1978, 1980), False, 'from multimedia_chat import views\n')]
from model.contact import Contact from generator.random import random_string import getopt import sys import os import jsonpickle try: opts, args = getopt.getopt(sys.argv[1:], "n:f:", ["number of groups", "file"]) except getopt.GetoptError as err: getopt.usage() sys.exit(2) n = 5 f = 'data/contacts.json' ...
[ "jsonpickle.set_encoder_options", "getopt.getopt", "generator.random.random_string", "getopt.usage", "sys.exit", "os.path.abspath", "jsonpickle.encode", "model.contact.Contact" ]
[((153, 218), 'getopt.getopt', 'getopt.getopt', (['sys.argv[1:]', '"""n:f:"""', "['number of groups', 'file']"], {}), "(sys.argv[1:], 'n:f:', ['number of groups', 'file'])\n", (166, 218), False, 'import getopt\n'), ((735, 783), 'jsonpickle.set_encoder_options', 'jsonpickle.set_encoder_options', (['"""json"""'], {'inden...
"""rollback module for the cli.""" import logging from subprocess import CalledProcessError, PIPE, Popen, check_call import click from iocage.lib.ioc_common import checkoutput from iocage.lib.ioc_json import IOCJson from iocage.lib.ioc_list import IOCList __cmdname__ = "rollback_cmd" __rootcmd__ = True @click.comm...
[ "logging.getLogger", "click.argument", "click.confirm", "iocage.lib.ioc_common.checkoutput", "iocage.lib.ioc_json.IOCJson", "click.option", "iocage.lib.ioc_list.IOCList", "click.command" ]
[((310, 378), 'click.command', 'click.command', ([], {'name': '"""rollback"""', 'help': '"""Rollbacks the specified jail."""'}), "(name='rollback', help='Rollbacks the specified jail.')\n", (323, 378), False, 'import click\n'), ((380, 402), 'click.argument', 'click.argument', (['"""jail"""'], {}), "('jail')\n", (394, 4...
# Import Param import Param xmlpath = 'H:/cloud/cloud_data/Projects/MDDoc/init/init.xml' Param.param.init(xmlpath) Param.param.create() Param.param.write() Param.param.printParams()
[ "Param.param.printParams", "Param.param.write", "Param.param.create", "Param.param.init" ]
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# Generated by Django 2.2 on 2021-01-08 20:08 from django.conf import settings from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): initial = True dependencies = [ ('recipes', '0001_initial'), migrations.swappable_dependency(settin...
[ "django.db.models.AutoField", "django.db.migrations.swappable_dependency", "django.db.models.UniqueConstraint", "django.db.models.ForeignKey" ]
[((282, 339), 'django.db.migrations.swappable_dependency', 'migrations.swappable_dependency', (['settings.AUTH_USER_MODEL'], {}), '(settings.AUTH_USER_MODEL)\n', (313, 339), False, 'from django.db import migrations, models\n'), ((1813, 1892), 'django.db.models.UniqueConstraint', 'models.UniqueConstraint', ([], {'fields...
#!/usr/bin/env ipython """ Producer script for BOT PTC analysis. """ import os from ptc_jh_task import ptc_jh_task from bot_eo_analyses import get_analysis_types, run_python_task_or_cl_script if 'ptc' in get_analysis_types(): ptc_task_script \ = os.path.join(os.environ['EOANALYSISJOBSDIR'], 'harnessed_jobs...
[ "bot_eo_analyses.run_python_task_or_cl_script", "os.path.join", "bot_eo_analyses.get_analysis_types" ]
[((205, 225), 'bot_eo_analyses.get_analysis_types', 'get_analysis_types', ([], {}), '()\n', (223, 225), False, 'from bot_eo_analyses import get_analysis_types, run_python_task_or_cl_script\n'), ((259, 361), 'os.path.join', 'os.path.join', (["os.environ['EOANALYSISJOBSDIR']", '"""harnessed_jobs"""', '"""ptc_BOT"""', '""...
import copy from typing import List from ._QueryParameters.ActualQueryParameters import ActualQueryParameters from ._QueryParameters.VersionedQueryParameters import VersionedQueryParameters from ._QueryParameters.AuctionQueryParameters import AuctionQueryParameters from ._QueryParameters.VersionedQueryParameters import...
[ "copy.deepcopy" ]
[((3630, 3650), 'copy.deepcopy', 'copy.deepcopy', (['param'], {}), '(param)\n', (3643, 3650), False, 'import copy\n')]
''' Fill in the code to check if the text passed looks like a standard sentence, meaning that it starts with an uppercase letter, followed by at least some lowercase letters or a space, and ends with a period, question mark, or exclamation point. ''' import re def check_sentence(text): result = re.search...
[ "re.search" ]
[((311, 357), 're.search', 're.search', (['"""^[A-Z][a-z\\\\s]*[\\\\.\\\\?\\\\!]$"""', 'text'], {}), "('^[A-Z][a-z\\\\s]*[\\\\.\\\\?\\\\!]$', text)\n", (320, 357), False, 'import re\n')]
import numpy as np import torch.nn as nn import torch import torch.nn.functional as F from torch.utils.data import Dataset import math def conv3x3(in_planes, out_planes, stride=1): """3x3 convolution with padding""" return nn.Conv2d(in_planes, out_planes, kernel_size=3, stride=stride, padding=1, bias=True) ...
[ "torch.nn.BatchNorm2d", "torch.nn.Sigmoid", "torch.nn.LeakyReLU", "torch.nn.ModuleList", "torch.nn.Conv2d", "torch.randn" ]
[((232, 320), 'torch.nn.Conv2d', 'nn.Conv2d', (['in_planes', 'out_planes'], {'kernel_size': '(3)', 'stride': 'stride', 'padding': '(1)', 'bias': '(True)'}), '(in_planes, out_planes, kernel_size=3, stride=stride, padding=1,\n bias=True)\n', (241, 320), True, 'import torch.nn as nn\n'), ((3971, 3997), 'torch.randn', '...
# -*- coding: utf-8 -*- """ feedjack <NAME> fjcloud.py """ import math from feedjack import fjlib from feedjack import fjcache def getsteps(levels, tagmax): """ Returns a list with the max number of posts per "tagcloud level" """ ntw = levels if ntw < 2: ntw = 2 steps = [(stp, 1 + (stp ...
[ "math.ceil", "feedjack.fjcache.cache_set", "feedjack.fjlib.getquery", "feedjack.fjcache.cache_get" ]
[((1186, 1735), 'feedjack.fjlib.getquery', 'fjlib.getquery', (['("""\n SELECT feedjack_post.feed_id, feedjack_tag.name, COUNT(*)\n FROM feedjack_post, feedjack_subscriber, feedjack_tag,\n feedjack_post_tags\n WHERE feedjack_post.feed_id=feedjack_subscriber.feed_id AND\n feed...
import discord from discord.ext import commands, tasks from discord.ext.commands import BucketType from copy import deepcopy from dateutil.relativedelta import relativedelta import random import asyncio import datetime from utility import words from utility import working from utility import Pag shop = [ { ...
[ "dateutil.relativedelta.relativedelta", "discord.ext.commands.CooldownMapping.from_cooldown", "discord.ui.button", "discord.ext.commands.group", "copy.deepcopy", "discord.ext.commands.command", "asyncio.sleep", "discord.ext.commands.CommandOnCooldown", "discord.Embed", "random.randint", "discord...
[((8785, 8848), 'discord.ui.button', 'discord.ui.button', ([], {'label': '"""Hit"""', 'style': 'discord.ButtonStyle.green'}), "(label='Hit', style=discord.ButtonStyle.green)\n", (8802, 8848), False, 'import discord\n'), ((11606, 11671), 'discord.ui.button', 'discord.ui.button', ([], {'label': '"""Stand"""', 'style': 'd...
#!/usr/bin/env python3 import jinja2 def setup_jinja(): # register templates multi_loader = jinja2.ChoiceLoader([ jinja2.FileSystemLoader(searchpath=["./templates"]), jinja2.PrefixLoader({ 'govuk-jinja-components': jinja2.PackageLoader('govuk_jinja_components'), 'digita...
[ "jinja2.FileSystemLoader", "jinja2.Environment", "jinja2.PackageLoader" ]
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import unittest import json from flask import Flask from flask_proxy import Proxy, Upstream class TestProxy(unittest.TestCase): def setUp(self): class HttpbinBase(Upstream): prefix = '/httpbin' host = 'httpbin.org' self.HttpbinBase = HttpbinBase class HttpbinGet(...
[ "flask_proxy.Proxy", "json.loads", "flask.Flask" ]
[((1116, 1131), 'flask.Flask', 'Flask', (['__name__'], {}), '(__name__)\n', (1121, 1131), False, 'from flask import Flask\n'), ((1148, 1158), 'flask_proxy.Proxy', 'Proxy', (['app'], {}), '(app)\n', (1153, 1158), False, 'from flask_proxy import Proxy, Upstream\n'), ((1786, 1801), 'flask.Flask', 'Flask', (['__name__'], {...
# Copyright (c) 2019 PaddlePaddle 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 applic...
[ "os.path.exists", "argparse.ArgumentParser", "types.SimpleNamespace", "os.path.join", "yaml.load", "requests.get", "functools.partial" ]
[((1377, 1421), 'argparse.ArgumentParser', 'argparse.ArgumentParser', ([], {'description': '__doc__'}), '(description=__doc__)\n', (1400, 1421), False, 'import argparse\n'), ((1436, 1486), 'functools.partial', 'functools.partial', (['add_arguments'], {'argparser': 'parser'}), '(add_arguments, argparser=parser)\n', (145...
import socket import time import argparse parser = argparse.ArgumentParser() parser.add_argument('--port-number', type=int, action='store', default=3000, help='Specify which server port you want to connect to') args = parser.parse_args() clientsocket= socket.socket(socket.AF_INET, socket.SOCK_STREAM) clientsocket.conne...
[ "socket.socket", "time.sleep", "argparse.ArgumentParser" ]
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# pylint: disable=missing-module-docstring, redefined-outer-name, unused-argument, wrong-import-order, unused-import import poetry.factory import poetry.utils.env import pytest from poetry.puzzle.provider import Provider from .fixtures import mock_poetry_factory from .fixtures import mock_venv from tox_poetry_installe...
[ "tox_poetry_installer.utilities.identify_transients", "pytest.raises" ]
[((2430, 2487), 'tox_poetry_installer.utilities.identify_transients', 'utilities.identify_transients', (['"""requests"""', 'packages', 'venv'], {}), "('requests', packages, venv)\n", (2459, 2487), False, 'from tox_poetry_installer import utilities\n'), ((924, 972), 'pytest.raises', 'pytest.raises', (['exceptions.Locked...
import logging import os from datetime import datetime import random from threading import Thread, Event from pycocotools.coco import COCO from ..db import Database logger = logging.getLogger('load_coco') def load_coco(db: Database, *, coco_dir: str, data_type: str = 'train2017', ...
[ "logging.getLogger", "argparse.ArgumentParser", "pycocotools.coco.COCO", "threading.Event", "datetime.datetime.now", "threading.Thread" ]
[((177, 207), 'logging.getLogger', 'logging.getLogger', (['"""load_coco"""'], {}), "('load_coco')\n", (194, 207), False, 'import logging\n'), ((1050, 1057), 'threading.Event', 'Event', ([], {}), '()\n', (1055, 1057), False, 'from threading import Thread, Event\n'), ((2959, 3034), 'argparse.ArgumentParser', 'argparse.Ar...
#!/usr/bin/env python # -*- coding: utf-8 -*- """ test_reheader ---------------------------------- Tests for `reheader` module. """ import csv import re from io import StringIO import pytest from reheader import reheadered _raw_txt_1 = u"""name,email,zip, <NAME>,<EMAIL>,45309, <NAME>,<EMAIL>,12345-1234, <NAME>,<EMA...
[ "re.compile", "reheader.reheadered", "pytest.raises", "io.StringIO", "csv.reader", "re.search" ]
[((1028, 1048), 'reheader.reheadered', 'reheadered', (['[{}]', '[]'], {}), '([{}], [])\n', (1038, 1048), False, 'from reheader import reheadered\n'), ((1503, 1545), 'reheader.reheadered', 'reheadered', (['data', "['name', 'email', 'zip']"], {}), "(data, ['name', 'email', 'zip'])\n", (1513, 1545), False, 'from reheader ...
#!/usr/bin/env python3 # -*- coding: utf-8 -*- from sqlalchemy import Column, String, Integer, ForeignKey, TIMESTAMP, func, and_, or_ from sqlalchemy.sql import text from sqlalchemy.orm import sessionmaker, relationship, query, backref from sqlalchemy.ext.declarative import declarative_base from sqlalchemy import creat...
[ "sqlalchemy.orm.relationship", "sqlalchemy.orm.sessionmaker", "sqlalchemy.func.count", "sqlalchemy.func.sum", "tetueSrc.get_configuration", "sqlalchemy.sql.text", "sqlalchemy.create_engine", "sqlalchemy.ForeignKey", "sqlalchemy.TIMESTAMP", "sqlalchemy.String", "tetueSrc.get_int_element", "sqla...
[((369, 407), 'tetueSrc.get_configuration', 'tetueSrc.get_configuration', (['"""database"""'], {}), "('database')\n", (395, 407), False, 'import tetueSrc\n'), ((415, 433), 'sqlalchemy.ext.declarative.declarative_base', 'declarative_base', ([], {}), '()\n', (431, 433), False, 'from sqlalchemy.ext.declarative import decl...
''' loadFromExcel.py is an example of a plug-in that will load an extension taxonomy from Excel input and optionally save an (extension) DTS. (c) Copyright 2016 Mark V Systems Limited, All rights reserved. Example to run from web server: 1) POSTing excel in a zip, getting instance and log back in zip: curl -k -v...
[ "zipfile.ZipFile", "re.compile", "io.open", "sys.exc_info", "arelle.ModelValue.qname", "arelle.XmlUtil.addChild", "arelle.ValidateXbrlDimensions.loadDimensionDefaults", "arelle.PrototypeInstanceObject.DimValuePrototype", "arelle.XmlValidate.validate", "csv.reader", "arelle.XbrlConst.isStandardAr...
[((3312, 3332), 'arelle.ModelValue.qname', 'qname', (['nsOim', '"""note"""'], {}), "(nsOim, 'note')\n", (3317, 3332), False, 'from arelle.ModelValue import qname\n'), ((3441, 3820), 're.compile', 're.compile', (['"""[_A-Za-zÀ-ÖØ-öø-ÿĀ-˿Ͱ-ͽͿ-\u1fff\u200c-\u200d⁰-\u218fⰀ-\u2fef、-\ud7ff豈-\ufdcfﷰ-�][_\\\\-\\\\.·A-Za-z0-9À-...
#!/usr/bin/env python """ Python source code - replace this with a description of the code and write the code below this text. """ from string import Template def main(): import sys import os.path as osp data_dir = sys.argv[1] batch_size = sys.argv[2] with open('./deploy.prototxt.in') as reader,...
[ "os.path.join" ]
[((326, 363), 'os.path.join', 'osp.join', (['data_dir', '"""deploy.prototxt"""'], {}), "(data_dir, 'deploy.prototxt')\n", (334, 363), True, 'import os.path as osp\n'), ((464, 495), 'os.path.join', 'osp.join', (['data_dir', '"""input.txt"""'], {}), "(data_dir, 'input.txt')\n", (472, 495), True, 'import os.path as osp\n'...
#! /usr/bin/env python # -*- coding: utf-8 -*- """ Module that contains DCC functionality for 3ds Max """ from __future__ import print_function, division, absolute_import from collections import OrderedDict from Qt.QtWidgets import QApplication, QMainWindow import numpy as np from pymxs import runtime as rt from...
[ "pymxs.runtime.isValidNode", "pymxs.runtime.actionMan.executeAction", "pymxs.runtime.select", "tpDcc.dccs.max.core.scene.get_selected_nodes", "pymxs.runtime.getCurrentSelection", "tpDcc.dccs.max.core.scene.new_scene", "pymxs.runtime.getTransformLockFlags", "tpDcc.dccs.max.core.helpers.get_max_version"...
[((1682, 1735), 'pymxs.runtime.pathConfig.setCurrentProjectFolder', 'rt.pathConfig.setCurrentProjectFolder', (['workspace_path'], {}), '(workspace_path)\n', (1719, 1735), True, 'from pymxs import runtime as rt\n'), ((1925, 1961), 'pymxs.runtime.actionMan.executeAction', 'rt.actionMan.executeAction', (['(0)', '"""310"""...
# use nosetest to run these tests from nose.tools import eq_ import inflect FNAME = 'tests/words.txt' # FNAME = 'tests/list-of-nouns.txt' # FNAME = '/usr/share/dict/british-english' # FNAME = 'tricky.txt' def getwords(): words = open(FNAME).readlines() words = [w.strip() for w in words] return words ...
[ "inflect.engine" ]
[((347, 363), 'inflect.engine', 'inflect.engine', ([], {}), '()\n', (361, 363), False, 'import inflect\n')]
# Generated by Django 2.1.7 on 2019-05-20 12:58 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('nodeodm', '0006_auto_20190220_1842'), ] operations = [ migrations.RemoveField( model_name='processingnode', name='od...
[ "django.db.migrations.RemoveField", "django.db.models.CharField" ]
[((235, 306), 'django.db.migrations.RemoveField', 'migrations.RemoveField', ([], {'model_name': '"""processingnode"""', 'name': '"""odm_version"""'}), "(model_name='processingnode', name='odm_version')\n", (257, 306), False, 'from django.db import migrations, models\n'), ((458, 544), 'django.db.models.CharField', 'mode...
""" Филды для сериалайзеров. """ import re from rest_framework import serializers class GraphListMultipleChoiceField(serializers.Field): """ Филд, для использования перечисления в текстовом поле. Взято из GraphQL. >>> from rest_framework import serializers >>> >>> >>> class ExampleSerialize...
[ "re.search", "re.compile" ]
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from todocli.todo.config import lang_list, Lang import re class TestConfig(object): def test_Lang(self): lang = Lang('.py', [r"#\s*(TODO.*)"]) compiled_regex = lang.get_compiled_regexes() assert isinstance(lang, Lang) assert isinstance(compiled_regex, list) assert compil...
[ "todocli.todo.config.Lang", "re.compile" ]
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import json from django.http import JsonResponse from django.shortcuts import render # Create your views here. from django.views import View from django_redis import get_redis_connection from apps.goods.models import SKU from utils.response_code import RETCODE """ 1. 如果用户未登录,可以实现添加购物车的功能. 如果用户登录,也可以实现添加购物车的功能. ...
[ "django.shortcuts.render", "django_redis.get_redis_connection", "django.http.JsonResponse", "pickle.dumps", "base64.b64encode", "base64.b64decode", "pickle.loads", "apps.goods.models.SKU.objects.get" ]
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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 not...
[ "liminal.core.config.config.ConfigUtil", "logging.warning", "liminal.core.util.files_util.resolve_pipeline_source_file", "liminal.core.util.class_util.find_subclasses_in_packages", "logging.info" ]
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# -*- coding: utf-8 -*- import tensorflow as tf from tensorflow.core.protobuf import saver_pb2 import numpy as np import cv2 import matplotlib.pyplot as plt import os from os.path import join as pjoin import sys import copy import detect_face import nn4 as network import random import sklearn from sklearn.externals...
[ "cv2.rectangle", "tensorflow.Graph", "detect_face.create_mtcnn", "tensorflow.ConfigProto", "cv2.imshow", "detect_face.detect_face", "cv2.waitKey", "numpy.empty", "cv2.circle", "cv2.cvtColor", "tensorflow.GPUOptions", "cv2.resize", "cv2.imread" ]
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import pytest _endpoint: str = "http://localhost:5000" @pytest.fixture(scope="module") def url_endpoint() -> str: """Represent default url endpoint.""" return _endpoint
[ "pytest.fixture" ]
[((59, 89), 'pytest.fixture', 'pytest.fixture', ([], {'scope': '"""module"""'}), "(scope='module')\n", (73, 89), False, 'import pytest\n')]
# -*- coding: utf-8 -*- # Generated by Django 1.11.5 on 2017-10-22 10:28 from __future__ import unicode_literals from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('parsed_data', '0005_auto_20171019_2318'), ] operations = [ migrations.AddFi...
[ "django.db.models.CharField" ]
[((409, 450), 'django.db.models.CharField', 'models.CharField', ([], {'max_length': '(5)', 'null': '(True)'}), '(max_length=5, null=True)\n', (425, 450), False, 'from django.db import migrations, models\n'), ((577, 618), 'django.db.models.CharField', 'models.CharField', ([], {'max_length': '(5)', 'null': '(True)'}), '(...
# -*- coding: utf-8 -*- name = "twaddress" from twaddress import algo from slugify import slugify import re def _to_eng(cut_result, for_post=False): code, city, road, village, address = cut_result if for_post: result = [road, village, '\n%s %s' % (city, code), '\nTaiwan (R.O.C.)'] else: ...
[ "twaddress.algo.mms_cut", "re.findall", "slugify.slugify" ]
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