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""" https://docs.djangoproject.com/en/dev/ref/django-admin/#inspectdb The meaning is to load a sqlite table and create the static model for django with django """ from django.core.management.commands import inspectdb import os def create_static_model(): current_dir = os.path.dirname(os.path.abspath(__file__)) ...
[ "os.path.abspath", "os.path.dirname", "django.core.management.commands.inspectdb.Command" ]
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# -*- coding: utf-8 -*- # Copyright 2020 Google LLC # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or...
[ "proto.RepeatedField", "proto.Field", "proto.module", "proto.MapField" ]
[((762, 1273), 'proto.module', 'proto.module', ([], {'package': '"""google.cloud.osconfig.v1beta"""', 'manifest': "{'ExecutePatchJobRequest', 'GetPatchJobRequest',\n 'ListPatchJobInstanceDetailsRequest',\n 'ListPatchJobInstanceDetailsResponse', 'PatchJobInstanceDetails',\n 'ListPatchJobsRequest', 'ListPatchJob...
#!/usr/bin/env python # # A library that provides a Python interface to the Telegram Bot API # Copyright (C) 2015-2017 # <NAME> <<EMAIL>> # # This program is free software: you can redistribute it and/or modify # it under the terms of the GNU Lesser Public License as published by # the Free Software Foundation, either ...
[ "logging.getLogger", "threading.Lock", "datetime.date.today", "datetime.timedelta", "threading.Event", "datetime.datetime.now", "weakref.proxy", "queue.PriorityQueue", "threading.Thread", "warnings.warn", "time.time" ]
[((1747, 1762), 'queue.PriorityQueue', 'PriorityQueue', ([], {}), '()\n', (1760, 1762), False, 'from queue import PriorityQueue, Empty\n'), ((1808, 1850), 'logging.getLogger', 'logging.getLogger', (['self.__class__.__name__'], {}), '(self.__class__.__name__)\n', (1825, 1850), False, 'import logging\n'), ((1879, 1885), ...
from PIL import Image, ImageColor from Manip import * import sys print('Welcome to the quick image editor. Enter "help" for command options. ') manip = Manip() if(len(sys.argv) == 2): try: im = Image.open(sys.argv[1]) manip.path = sys.argv[1] except FileNotFoundError: print("Invalid in...
[ "PIL.Image.open" ]
[((208, 231), 'PIL.Image.open', 'Image.open', (['sys.argv[1]'], {}), '(sys.argv[1])\n', (218, 231), False, 'from PIL import Image, ImageColor\n'), ((2182, 2198), 'PIL.Image.open', 'Image.open', (['path'], {}), '(path)\n', (2192, 2198), False, 'from PIL import Image, ImageColor\n')]
from math import sqrt from hypothesis import assume, given, note from ppb_vector import Vector from utils import angles, floats, isclose, vector_likes, vectors @given(vector=vectors()) def test_dot_axis(vector: Vector): assert vector * (1, 0) == vector.x assert vector * (0, 1) == vector.y @given(x=vectors...
[ "hypothesis.note", "utils.vectors", "utils.angles", "math.sqrt", "ppb_vector.Vector._trig", "utils.isclose", "utils.vector_likes" ]
[((473, 508), 'utils.isclose', 'isclose', (['(x * x)', '(x.length * x.length)'], {}), '(x * x, x.length * x.length)\n', (480, 508), False, 'from utils import angles, floats, isclose, vector_likes, vectors\n'), ((940, 955), 'ppb_vector.Vector._trig', 'Vector._trig', (['t'], {}), '(t)\n', (952, 955), False, 'from ppb_vec...
from delfick_project.addons import addon_hook @addon_hook() def hook(collector, result_maker, **kwargs): collector.configuration["resolved"].append((__name__,)) @addon_hook(post_register=True) def post_hook(collector, **kwargs): collector.configuration["post_register"].append((__name__, kwargs))
[ "delfick_project.addons.addon_hook" ]
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import _curses _capability_names = {_curses.KEY_A1: 'ka1', _curses.KEY_A3: 'ka3', _curses. KEY_B2: 'kb2', _curses.KEY_BACKSPACE: 'kbs', _curses.KEY_BEG: 'kbeg', _curses.KEY_BTAB: 'kcbt', _curses.KEY_C1: 'kc1', _curses.KEY_C3: 'kc3', _curses.KEY_CANCEL: 'kcan', _curses.KEY_CATAB: 'ktbc', _curses. KEY_CLE...
[ "_curses.tigetstr", "_curses.initscr", "_curses.keyname", "_curses.endwin", "_curses.has_key" ]
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"""Classes for representing properties of STIX Objects and Cyber Observables.""" import base64 import binascii import copy import inspect import re import uuid from .base import _STIXBase from .exceptions import ( CustomContentError, DictionaryKeyError, MissingPropertiesError, MutuallyExclusivePropertiesError...
[ "uuid.UUID", "re.compile", "re.match", "base64.b64decode", "uuid.uuid4", "copy.deepcopy", "inspect.isclass" ]
[((647, 693), 're.compile', 're.compile', (['"""^\\\\-?[a-z0-9]+(-[a-z0-9]+)*\\\\-?$"""'], {}), "('^\\\\-?[a-z0-9]+(-[a-z0-9]+)*\\\\-?$')\n", (657, 693), False, 'import re\n'), ((709, 759), 're.compile', 're.compile', (['"""^([a-z][a-z0-9]*)+(-[a-z0-9]+)*\\\\-?$"""'], {}), "('^([a-z][a-z0-9]*)+(-[a-z0-9]+)*\\\\-?$')\n"...
""" This example solicits that apple devices that provide notifications connect to it, initiates pairing, prints existing notifications and then prints any new ones as they arrive. """ import time import adafruit_ble from adafruit_ble.advertising.standard import SolicitServicesAdvertisement import adafruit_ble_apple_n...
[ "adafruit_ble.advertising.standard.SolicitServicesAdvertisement", "adafruit_ble.BLERadio", "time.sleep" ]
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#!/usr/bin/env python # -*- coding: utf-8 -*- # <NAME> <<EMAIL>> <https://hanxiao.github.io> import multiprocessing import os import random import sys import threading import time from collections import defaultdict from datetime import datetime from itertools import chain from multiprocessing import Process from multi...
[ "termcolor.colored", "zmq.utils.jsonapi.dumps", "os.path.join", "numpy.ascontiguousarray", "zmq.utils.jsonapi.loads" ]
[((5715, 5737), 'zmq.utils.jsonapi.loads', 'jsonapi.loads', (['raw_msg'], {}), '(raw_msg)\n', (5728, 5737), False, 'from zmq.utils import jsonapi\n'), ((1294, 1326), 'termcolor.colored', 'colored', (['"""VENTILATOR"""', '"""magenta"""'], {}), "('VENTILATOR', 'magenta')\n", (1301, 1326), False, 'from termcolor import co...
import requests from pprint import pprint import json import os import sys sys.path.append("..") from server import app from model import Hospital, db, connect_to_db #Request response object with results def load_hospitals(url): #Replace URL with string variable to use with other requests in the future #ur...
[ "model.Hospital", "model.db.session.commit", "model.db.create_all", "model.connect_to_db", "model.Hospital.query.filter_by", "requests.get", "model.db.session.add", "server.app.app_context", "sys.path.append", "server.app" ]
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# Credits By @VckyouuBitch From Geez-Project # Tolong Haragai ya:) # Kalo emg <NAME> seseorang pasti pahamm la ya:) # Credits © Geez - Projects import os import moviepy.editor as m from userbot import CMD_HELP, bot from userbot.events import geezbot_cmd from userbot import CUSTOM_CMD as geez @bot.on(geezbot_cmd(ou...
[ "moviepy.editor.AudioFileClip", "os.listdir", "os.path.join", "userbot.events.geezbot_cmd", "userbot.CMD_HELP.update", "moviepy.editor.VideoFileClip", "os.remove" ]
[((1799, 2039), 'userbot.CMD_HELP.update', 'CMD_HELP.update', (['{\'specialtools\':\n f"""𝘾𝙤𝙢𝙢𝙖𝙣𝙙: `{geez}getaudio` \n↳ : Download Audio To put in ur Desired Video/Gif.. \n𝘾𝙤𝙢𝙢𝙖𝙣𝙙: `{geez}addaudio` \n↳ : It will put the above audio to the replied video/gif.."""\n }'], {}), '(...
from typing import Dict, List, Tuple, Union import torch import torch.nn as nn import torch.nn.functional as F from kornia.constants import pi from kornia.filters import GaussianBlur2d, SpatialGradient from kornia.geometry.conversions import cart2pol from kornia.utils import create_meshgrid # Precomputed coefficient...
[ "kornia.geometry.conversions.cart2pol", "torch.nn.Sequential", "torch.sqrt", "torch.sin", "torch.exp", "torch.pow", "torch.cos", "torch.arange", "torch.eye", "torch.hub.load_state_dict_from_url", "kornia.utils.create_meshgrid", "torch.abs", "torch.sign", "torch.nn.functional.normalize", ...
[((992, 1078), 'kornia.utils.create_meshgrid', 'create_meshgrid', ([], {'height': 'patch_size', 'width': 'patch_size', 'normalized_coordinates': '(True)'}), '(height=patch_size, width=patch_size, normalized_coordinates\n =True)\n', (1007, 1078), False, 'from kornia.utils import create_meshgrid\n'), ((1141, 1155), 'k...
import cv2 from pathlib import Path # 分类器初始化 cascade_path = Path(__file__).absolute().parent / 'cat_face.xml' cascade = cv2.CascadeClassifier(cascade_path.__str__()) def capture_cat_face(frame): frame = cv2.resize(frame, (512, 512)) # 灰度处理 frame_gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY) # 猫脸检测 ...
[ "cv2.resize", "cv2.cvtColor", "pathlib.Path" ]
[((211, 240), 'cv2.resize', 'cv2.resize', (['frame', '(512, 512)'], {}), '(frame, (512, 512))\n', (221, 240), False, 'import cv2\n'), ((269, 308), 'cv2.cvtColor', 'cv2.cvtColor', (['frame', 'cv2.COLOR_BGR2GRAY'], {}), '(frame, cv2.COLOR_BGR2GRAY)\n', (281, 308), False, 'import cv2\n'), ((62, 76), 'pathlib.Path', 'Path'...
from application import create_app # pragma: no cover app = create_app() # pragma: no cover if __name__ == '__main__': # pragma: no cover app.run()
[ "application.create_app" ]
[((61, 73), 'application.create_app', 'create_app', ([], {}), '()\n', (71, 73), False, 'from application import create_app\n')]
# Full tutorial - https://pythonprogramming.net/chinking-nltk-tutorial/ ''' Chinking is a lot like chunking, it is basically a way for you to remove a chunk from a chunk. The chunk that you remove from your chunk is your chink. The code is very similar, you just denote the chink, after the chunk, with }{ instead of t...
[ "nltk.tag.pos_tag", "nltk.tokenize.PunktSentenceTokenizer", "nltk.RegexpParser", "nltk.tokenize.word_tokenize" ]
[((548, 572), 'nltk.tokenize.PunktSentenceTokenizer', 'PunktSentenceTokenizer', ([], {}), '()\n', (570, 572), False, 'from nltk.tokenize import PunktSentenceTokenizer, word_tokenize\n'), ((687, 703), 'nltk.tokenize.word_tokenize', 'word_tokenize', (['s'], {}), '(s)\n', (700, 703), False, 'from nltk.tokenize import Punk...
#!/usr/bin/env python3 import pandas as pd import sys from tqdm import tqdm # chr16 2547328 2549793 chr16 2652350 2654815 inv 107487 bedpeName = "chr16psv.bedpe" bedpeName = "gridsearch1_head.txt" #bedpe = pd.read_csv(bedpeName,sep="\t",) #for row in bedpe.itertuples(index=True, name='Pandas'): # print(row.achr,ro...
[ "pandas.read_csv" ]
[((430, 476), 'pandas.read_csv', 'pd.read_csv', (['bedpeName'], {'sep': '"""\t"""', 'chunksize': '(10)'}), "(bedpeName, sep='\\t', chunksize=10)\n", (441, 476), True, 'import pandas as pd\n')]
from kivy.app import App from kivy.clock import Clock from kivy.core.window import Window from kivy.graphics import BorderImage, Rectangle from kivy.uix.label import Label from kivy.uix.floatlayout import FloatLayout from kivy.uix.widget import Widget class TextLabel(Label): def __init__(self, text, **kwargs): ...
[ "kivy.clock.Clock.schedule_interval", "kivy.graphics.BorderImage" ]
[((1340, 1386), 'kivy.clock.Clock.schedule_interval', 'Clock.schedule_interval', (['self.update', '(60 ** -1)'], {}), '(self.update, 60 ** -1)\n', (1363, 1386), False, 'from kivy.clock import Clock\n'), ((965, 1126), 'kivy.graphics.BorderImage', 'BorderImage', ([], {'size': '(self.label.width, self.label.height)', 'pos...
""" DuckDuckGo (Images) @website https://duckduckgo.com/ @provide-api yes (https://duckduckgo.com/api), but images are not supported @using-api no @results JSON (site requires js to get images) @stable no (JSON can change) @parse url, title, img_src @todo avoid extra...
[ "json.loads", "searx.url_utils.urlencode", "searx.engines.duckduckgo.get_region_code" ]
[((1535, 1601), 'searx.engines.duckduckgo.get_region_code', 'get_region_code', (["params['language']"], {'lang_list': 'supported_languages'}), "(params['language'], lang_list=supported_languages)\n", (1550, 1601), False, 'from searx.engines.duckduckgo import _fetch_supported_languages, supported_languages_url, get_regi...
"""The Media Source implementation for the Jellyfin integration.""" from __future__ import annotations import logging import mimetypes from typing import Any import urllib.parse from jellyfin_apiclient_python.api import jellyfin_url from jellyfin_apiclient_python.client import JellyfinClient from homeassistant.compo...
[ "logging.getLogger", "homeassistant.components.media_source.models.PlayMedia", "jellyfin_apiclient_python.api.jellyfin_url", "homeassistant.components.media_source.models.BrowseMediaSource", "mimetypes.guess_type", "homeassistant.components.media_player.errors.BrowseError" ]
[((1203, 1230), 'logging.getLogger', 'logging.getLogger', (['__name__'], {}), '(__name__)\n', (1220, 1230), False, 'import logging\n'), ((11786, 11812), 'mimetypes.guess_type', 'mimetypes.guess_type', (['path'], {}), '(path)\n', (11806, 11812), False, 'import mimetypes\n'), ((11880, 11941), 'homeassistant.components.me...
import torch.nn as nn from torch.nn.functional import softmax from torch.nn import CrossEntropyLoss from typing import List, Any, Dict, Union from sciwing.data.line import Line from sciwing.data.label import Label from wasabi import Printer from sciwing.utils.class_nursery import ClassNursery from sciwing.data.datasets...
[ "torch.nn.CrossEntropyLoss", "wasabi.Printer", "torch.tensor", "torch.nn.Linear", "torch.nn.functional.softmax", "torch.device" ]
[((710, 729), 'torch.device', 'torch.device', (['"""cpu"""'], {}), "('cpu')\n", (722, 729), False, 'import torch\n'), ((1800, 1878), 'torch.nn.Linear', 'nn.Linear', (['self.encoding_dim', 'num_classes'], {'bias': 'self.classification_layer_bias'}), '(self.encoding_dim, num_classes, bias=self.classification_layer_bias)\...
import os if not os.path.exists('AdsorptionParameters.py'): os.symlink('../AdsorptionParameters.py', 'AdsorptionParameters.py') import matplotlib.pyplot as plt import asap3.nanoparticle_mc.langmuirExpression as le import numpy as np #Test the CO Plot now #Get one coverage for each CN for each temperature at 1mbar ...
[ "os.path.exists", "matplotlib.pyplot.ylabel", "matplotlib.pyplot.xlabel", "matplotlib.pyplot.plot", "os.symlink", "numpy.linspace", "asap3.nanoparticle_mc.langmuirExpression.getCoverages", "matplotlib.pyplot.ylim", "matplotlib.pyplot.legend", "matplotlib.pyplot.show" ]
[((324, 350), 'numpy.linspace', 'np.linspace', (['(0.1)', '(800)', '(100)'], {}), '(0.1, 800, 100)\n', (335, 350), True, 'import numpy as np\n'), ((602, 633), 'matplotlib.pyplot.plot', 'plt.plot', (['x', 'CN_4'], {'label': '"""CN 4"""'}), "(x, CN_4, label='CN 4')\n", (610, 633), True, 'import matplotlib.pyplot as plt\n...
import os import unittest from streamlines.read_write import source, EXT_TO_OPEN THIS_DIR = os.path.dirname(os.path.realpath(__file__)) FIXTURES_DIR = os.path.join(THIS_DIR, "fixtures") def get_zen_of_python(): import codecs, sys out = sys.stdout with open(os.devnull, "w") as tmp_out: sys.stdout ...
[ "os.path.realpath", "codecs.encode", "os.path.join", "streamlines.read_write.source" ]
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from rpython.rtyper.lltypesystem import lltype, rffi from rpython.rlib.objectmodel import specialize from pypy.interpreter.error import oefmt from pypy.interpreter.module import Module, init_extra_module_attrs from pypy.module._hpy_universal.apiset import API, DEBUG from pypy.module._hpy_universal import interp_extfunc...
[ "pypy.module._hpy_universal.apiset.API.func", "rpython.rlib.objectmodel.specialize.arg", "pypy.module._hpy_universal.apiset.DEBUG.func", "rpython.rtyper.lltypesystem.rffi.constcharp2str", "pypy.interpreter.module.init_extra_module_attrs", "pypy.module._hpy_universal.state.State.get", "pypy.module._hpy_u...
[((454, 522), 'pypy.module._hpy_universal.apiset.API.func', 'API.func', (['"""HPy HPyModule_Create(HPyContext *ctx, HPyModuleDef *def)"""'], {}), "('HPy HPyModule_Create(HPyContext *ctx, HPyModuleDef *def)')\n", (462, 522), False, 'from pypy.module._hpy_universal.apiset import API, DEBUG\n'), ((622, 732), 'pypy.module....
# Copyright 2013 OpenStack Foundation # 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 requ...
[ "oslo_serialization.jsonutils.dumps", "tempest.lib.common.rest_client.ResponseBody", "oslo_serialization.jsonutils.loads" ]
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from django.db import models from django.contrib.auth.models import User # Create your models here. class Game(models.Model): #Overall Game Object name = models.CharField(max_length=200) #name of the game start_time = models.DateTimeField() #time to start end_time = models.DateTimeField() #time game ends ...
[ "django.db.models.OneToOneField", "django.db.models.ForeignKey", "django.db.models.IntegerField", "django.db.models.DateTimeField", "django.db.models.CharField" ]
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# -*- coding: utf-8 -*- """ Created on Wed Aug 28 11:46:55 2013 @author: Craig """ # standard modules import json import logging import pprint import urllib import urllib2 # site modules # local modules # CONSTANTS # CKAN structure: # A CKAN site has a number of datasets # Each dataset is a collection of datafil...
[ "urllib2.Request", "json.dumps", "urllib2.urlopen", "pprint.pformat" ]
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from sample_factory.envs.env_registry import global_env_registry def create_env(full_env_name, cfg=None, env_config=None): """ Factory function that creates environment instances. Matches full_env_name with env family prefixes registered in the REGISTRY and calls make_env_func() for the first match. ...
[ "sample_factory.envs.env_registry.global_env_registry" ]
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# Copyright 2021 The Cirq Developers # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # https://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in ...
[ "cirq.devices.LineQid.for_gate" ]
[((1721, 1762), 'cirq.devices.LineQid.for_gate', 'devices.LineQid.for_gate', (['gate_controlled'], {}), '(gate_controlled)\n', (1745, 1762), False, 'from cirq import devices, ops\n')]
import numpy as np import cv2 import glob import matplotlib.pyplot as plt import matplotlib.image as mpimg from queue import Queue from moviepy.editor import VideoFileClip # prepare object points, like (0,0,0), (1,0,0), (2,0,0) ....,(6,5,0) objp = np.zeros((6*9,3), np.float32) objp[:,:2] = np.mgrid[0:9,0...
[ "cv2.rectangle", "numpy.hstack", "numpy.polyfit", "numpy.array", "cv2.warpPerspective", "cv2.destroyAllWindows", "cv2.calibrateCamera", "cv2.findChessboardCorners", "matplotlib.pyplot.imshow", "numpy.mean", "matplotlib.pyplot.plot", "cv2.undistort", "numpy.max", "cv2.addWeighted", "numpy...
[((262, 294), 'numpy.zeros', 'np.zeros', (['(6 * 9, 3)', 'np.float32'], {}), '((6 * 9, 3), np.float32)\n', (270, 294), True, 'import numpy as np\n'), ((574, 616), 'glob.glob', 'glob.glob', (['"""./camera_cal/calibration*.jpg"""'], {}), "('./camera_cal/calibration*.jpg')\n", (583, 616), False, 'import glob\n'), ((1576, ...
#!python # To run from the root folder: # trial tests/ import sys import os # When executed from the root folder sys.path.append(os.path.abspath("./tests")) sys.path.append(os.path.abspath("./src/vmcontroller.common")) sys.path.append(os.path.abspath("./src/vmcontroller.host")) sys.path.append(os.path.abspath("./src...
[ "os.path.abspath" ]
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import numpy as np import cv2 circle_directions = ('north', 'north-northeast', 'northeast', 'east-northeast', 'east', 'east-southeast', 'southeast', 'south-southeast', 'south', 'south-southwest', 'southwest', 'west-southwest', 'west', 'west-northwest', 'northwest', 'north-nort...
[ "numpy.sum", "numpy.array", "cv2.boundingRect" ]
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# Generated by Django 3.0.11 on 2021-03-26 16:15 from django.conf import settings from django.db import migrations, models import django.db.models.deletion import django.utils.timezone import model_utils.fields import uuid class Migration(migrations.Migration): initial = True dependencies = [ migra...
[ "django.db.models.TextField", "django.db.models.ForeignKey", "django.db.models.IntegerField", "django.db.models.CharField", "django.db.migrations.swappable_dependency", "django.db.models.UUIDField" ]
[((315, 372), 'django.db.migrations.swappable_dependency', 'migrations.swappable_dependency', (['settings.AUTH_USER_MODEL'], {}), '(settings.AUTH_USER_MODEL)\n', (346, 372), False, 'from django.db import migrations, models\n'), ((507, 598), 'django.db.models.UUIDField', 'models.UUIDField', ([], {'default': 'uuid.uuid4'...
from ..utils import constants, utils import folium from folium.plugins import HeatMap import numpy as np import pandas as pd import matplotlib.pyplot as plt import shapely from geojson import LineString import geopandas as gpd import json import warnings STACKLEVEL = 2 # COLOR = { # 0: '#FF0000', # Red # 1: '...
[ "geojson.LineString", "numpy.median", "folium.Icon", "numpy.round", "folium.Circle", "json.dumps", "folium.RegularPolygonMarker", "operator.itemgetter", "folium.Map", "numpy.random.randint", "folium.CircleMarker", "folium.Popup", "warnings.warn", "folium.plugins.HeatMap", "matplotlib.pyp...
[((16118, 16156), 'matplotlib.pyplot.xlim', 'plt.xlim', (['start_datetime', 'end_datetime'], {}), '(start_datetime, end_datetime)\n', (16126, 16156), True, 'import matplotlib.pyplot as plt\n'), ((1695, 1720), 'numpy.random.randint', 'np.random.randint', (['(0)', '(255)'], {}), '(0, 255)\n', (1712, 1720), True, 'import ...
# Generated by Django 3.1.14 on 2022-01-21 14:34 from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ ("polio", "0041_move_preparedness_polio"), ] operations = [ migrations.AlterField( model_name="c...
[ "django.db.models.OneToOneField" ]
[((378, 524), 'django.db.models.OneToOneField', 'models.OneToOneField', ([], {'blank': '(True)', 'null': '(True)', 'on_delete': 'django.db.models.deletion.PROTECT', 'related_name': '"""campaign_round_one"""', 'to': '"""polio.round"""'}), "(blank=True, null=True, on_delete=django.db.models.\n deletion.PROTECT, relate...
from decimal import Decimal from django.utils.timezone import FixedOffset from dynamic_preferences.types import * from dynamic_preferences.registries import global_preferences_registry from dynamic_preferences.users.registries import user_preferences_registry from dynamic_preferences.preferences import Section from d...
[ "dynamic_preferences.preferences.Section", "django.utils.timezone.FixedOffset", "decimal.Decimal", "django.forms.ValidationError" ]
[((1995, 2005), 'decimal.Decimal', 'Decimal', (['(0)'], {}), '(0)\n', (2002, 2005), False, 'from decimal import Decimal\n'), ((4304, 4363), 'dynamic_preferences.preferences.Section', 'Section', (['"""child"""'], {'verbose_name': '"""Child Section Verbose Name"""'}), "('child', verbose_name='Child Section Verbose Name')...
#!/usr/bin/env python3 from sys import stderr, exit, argv import string import random from multilanguage import Env, Lang, TALcolors from hash_and_cipher import hash_value # METADATA OF THIS TAL_SERVICE: problem="morra" service="compute_hash" args_list = [ ('hash_type',str), ('white_string',str), ('lang...
[ "multilanguage.Env", "sys.exit", "hash_and_cipher.hash_value", "multilanguage.TALcolors" ]
[((357, 389), 'multilanguage.Env', 'Env', (['problem', 'service', 'args_list'], {}), '(problem, service, args_list)\n', (360, 389), False, 'from multilanguage import Env, Lang, TALcolors\n'), ((395, 409), 'multilanguage.TALcolors', 'TALcolors', (['ENV'], {}), '(ENV)\n', (404, 409), False, 'from multilanguage import Env...
import json from datetime import datetime import requests from requests_oauthlib import OAuth2Session, OAuth2 from xero import Xero from xero.constants import XERO_BASE_URL # Use service discovery to find the endpoints we're going to use connections_url = "https://api.xero.com/connections" discovery_url = "https://id...
[ "datetime.datetime.utcfromtimestamp", "requests.auth.HTTPBasicAuth", "requests.get", "requests_oauthlib.OAuth2", "requests_oauthlib.OAuth2Session" ]
[((382, 409), 'requests.get', 'requests.get', (['discovery_url'], {}), '(discovery_url)\n', (394, 409), False, 'import requests\n'), ((851, 897), 'datetime.datetime.utcfromtimestamp', 'datetime.utcfromtimestamp', (["token['expires_at']"], {}), "(token['expires_at'])\n", (876, 897), False, 'from datetime import datetime...
# -*- coding: utf-8 -*- from __future__ import unicode_literals from django import forms from django.utils.translation import ugettext_lazy as _ from .models import CommentLike class LikeForm(forms.ModelForm): class Meta: model = CommentLike fields = [] def __init__(self, user=None, comme...
[ "django.utils.translation.ugettext_lazy" ]
[((883, 912), 'django.utils.translation.ugettext_lazy', '_', (['"""This like already exists"""'], {}), "('This like already exists')\n", (884, 912), True, 'from django.utils.translation import ugettext_lazy as _\n')]
# -*- coding: utf-8 -*- # Generated by Django 1.11.20 on 2019-05-28 16:45 from __future__ import unicode_literals from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('aldryn_people', '0037_rename_names_out_of_the_way'), ] operations = [ migr...
[ "django.db.models.CharField" ]
[((419, 541), 'django.db.models.CharField', 'models.CharField', ([], {'default': '""""""', 'help_text': '"""Provide this person\'s first name."""', 'max_length': '(255)', 'verbose_name': '"""first name"""'}), '(default=\'\', help_text="Provide this person\'s first name.",\n max_length=255, verbose_name=\'first name\...
import copy import json import logging import os import re import shutil from collections import defaultdict from dataclasses import dataclass from datetime import datetime from json import JSONDecodeError from pathlib import Path from typing import Any, Dict, Iterable, List, Optional, Set, TextIO, Tuple, Type, Union, ...
[ "jinja2.Environment", "click.File", "os.path.sep.join", "copy.deepcopy", "copy.copy", "pygments.formatters.html.HtmlFormatter", "logging.info", "os.path.exists", "click.option", "json.dumps", "markdown2.Markdown", "click.command", "json.loads", "htmlmin.minify", "re.match", "os.path.sp...
[((53933, 53948), 'click.command', 'click.command', ([], {}), '()\n', (53946, 53948), False, 'import click\n'), ((54274, 54486), 'click.option', 'click.option', (['"""--config"""'], {'multiple': '(True)', 'help': '"""Override generation parameters from the configuration file. Format is parameter_name=parameter_value. F...
#!/usr/bin/env python # -*- coding: utf-8 -*- # # Copyright (c) 2018 Intel Corporation # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2...
[ "mock.patch", "benchmarks.common.base_model_init.BaseModelInitializer", "pytest.mark.skip", "benchmarks.common.base_model_init.set_env_var", "os.environ.get", "pytest.mark.parametrize", "io.StringIO", "tempfile.mkstemp", "mock.MagicMock" ]
[((2067, 2114), 'mock.patch', 'patch', (['"""benchmarks.common.base_model_init.open"""'], {}), "('benchmarks.common.base_model_init.open')\n", (2072, 2114), False, 'from mock import MagicMock, patch\n'), ((2117, 2149), 'mock.patch', 'patch', (['"""common.platform_util.os"""'], {}), "('common.platform_util.os')\n", (212...
import src as ai import numpy as np import wandb wandb.init(project='lstm-timeseries', config={'version' : 'new-a'}) model = ai.lstm(inshape=1, outshape=1, outactivation=ai.identity(), learningrate=0.01) Data = np.genfromtxt(r"data/timeseries/airpassenger.csv", dtype=int) Data = (Data - min(Data)) / (max(Data) - min...
[ "wandb.log", "src.identity", "wandb.init", "numpy.sum", "numpy.genfromtxt" ]
[((50, 116), 'wandb.init', 'wandb.init', ([], {'project': '"""lstm-timeseries"""', 'config': "{'version': 'new-a'}"}), "(project='lstm-timeseries', config={'version': 'new-a'})\n", (60, 116), False, 'import wandb\n'), ((214, 274), 'numpy.genfromtxt', 'np.genfromtxt', (['"""data/timeseries/airpassenger.csv"""'], {'dtype...
from abc import abstractmethod from pgmpy.extern.six.moves import reduce class BaseFactor(object): """ Base class for Factors. Any Factor implementation should inherit this class. """ def __init__(self, *args, **kwargs): pass @abstractmethod def is_valid_cpd(self): pass de...
[ "pgmpy.extern.six.moves.reduce" ]
[((1708, 1752), 'pgmpy.extern.six.moves.reduce', 'reduce', (['(lambda phi1, phi2: phi1 * phi2)', 'args'], {}), '(lambda phi1, phi2: phi1 * phi2, args)\n', (1714, 1752), False, 'from pgmpy.extern.six.moves import reduce\n')]
import torch from torch import nn import torch.nn.functional as F from torch.nn import BCEWithLogitsLoss class DecoderLoss(nn.Module): """ Loss function for answer generation computes the negative log-likelihood of the ground truth tokens averaged per number of valid tokens """ def __init__(self, pad_idx, unk_...
[ "torch.nn.functional.softmax", "torch.log", "torch.device", "torch.cuda.is_available", "torch.nn.BCEWithLogitsLoss", "torch.cuda.current_device", "torch.ones" ]
[((3772, 3807), 'torch.nn.BCEWithLogitsLoss', 'BCEWithLogitsLoss', ([], {'reduction': '"""none"""'}), "(reduction='none')\n", (3789, 3807), False, 'from torch.nn import BCEWithLogitsLoss\n'), ((889, 914), 'torch.cuda.is_available', 'torch.cuda.is_available', ([], {}), '()\n', (912, 914), False, 'import torch\n'), ((920...
from django.urls import include, path, register_converter as register from .base import ID from ..views import words class Lemma(ID): regex = f'{ID.regex}|[^/@][^/]*' register(Lemma, 'lemma') app_name = 'words' urlpatterns = [ path('', words.List.as_view(), name='list'), # Includes new, search, and import ...
[ "django.urls.register_converter" ]
[((173, 197), 'django.urls.register_converter', 'register', (['Lemma', '"""lemma"""'], {}), "(Lemma, 'lemma')\n", (181, 197), True, 'from django.urls import include, path, register_converter as register\n')]
import os from GenericBase import GenericBase from STAPLERerror import VirtualIOError from STAPLERerror import STAPLERerror import utils class samtools_index(GenericBase): """Class for creating command lines for samtools index. Parameters: in_cmd: String containing a command line in_dir...
[ "utils.infer_path_id", "utils.splitext", "utils.parse_config", "os.path.join", "STAPLERerror.VirtualIOError" ]
[((3358, 3410), 'utils.parse_config', 'utils.parse_config', (['self.name', '"""cmd_name"""', '"""execute"""'], {}), "(self.name, 'cmd_name', 'execute')\n", (3376, 3410), False, 'import utils\n'), ((7401, 7453), 'utils.parse_config', 'utils.parse_config', (['self.name', '"""cmd_name"""', '"""execute"""'], {}), "(self.na...
import torch def accuracy(preds, labels, ignore_index=None): with torch.no_grad(): assert preds.shape[0] == len(labels) correct = torch.sum(preds == labels) total = torch.sum(torch.ones_like(labels)) if ignore_index is not None: # 모델이 맞춘 것 가운데 ignore index에 해당하는 것 제외 ...
[ "torch.no_grad", "torch.ones_like", "torch.sum", "torch.logical_and" ]
[((72, 87), 'torch.no_grad', 'torch.no_grad', ([], {}), '()\n', (85, 87), False, 'import torch\n'), ((152, 178), 'torch.sum', 'torch.sum', (['(preds == labels)'], {}), '(preds == labels)\n', (161, 178), False, 'import torch\n'), ((205, 228), 'torch.ones_like', 'torch.ones_like', (['labels'], {}), '(labels)\n', (220, 22...
from numpy.testing import assert_ from alns.Statistics import Statistics def test_empty_new_statistics(): """ Tests if a new Statistics object starts empty. """ statistics = Statistics() assert_(len(statistics.objectives) == 0) def test_collect_objectives(): """ Tests if a Statistics ob...
[ "alns.Statistics.Statistics", "numpy.testing.assert_" ]
[((193, 205), 'alns.Statistics.Statistics', 'Statistics', ([], {}), '()\n', (203, 205), False, 'from alns.Statistics import Statistics\n'), ((386, 398), 'alns.Statistics.Statistics', 'Statistics', ([], {}), '()\n', (396, 398), False, 'from alns.Statistics import Statistics\n'), ((550, 597), 'numpy.testing.assert_', 'as...
#!/usr/bin/env python # ---------------------------------------------------------------------------- # Copyright (c) 2016--, Biota Technology. # www.biota.com # # Distributed under the terms of the Modified BSD License. # # The full license is in the file LICENSE, distributed with this software. # ---------------------...
[ "biom.load_table", "tempfile.TemporaryDirectory", "qiime2.Artifact.load", "os.path.exists", "pandas.read_csv", "numpy.testing.assert_allclose", "os.path.join", "unittest.main", "os.path.abspath", "qiime2.plugins.sourcetracker2.actions.gibbs" ]
[((8970, 8985), 'unittest.main', 'unittest.main', ([], {}), '()\n', (8983, 8985), False, 'import unittest\n'), ((4888, 4913), 'os.path.abspath', 'os.path.abspath', (['__file__'], {}), '(__file__)\n', (4903, 4913), False, 'import os\n'), ((5230, 5284), 'os.path.join', 'os.path.join', (['tst_pth', '"""data/tiny-test/otu_...
""" Python for Windows A lot of python object to help navigate windows stuff Exported: system : :class:`windows.winobject.System` current_process : :class:`windows.winobject.CurrentProcess` current_thread : :class:`windows.winobject.CurrentThread` """ # check we are on windows import sys if sys.platfor...
[ "sys.platform.capitalize", "warnings.filterwarnings" ]
[((464, 541), 'warnings.filterwarnings', 'warnings.filterwarnings', (['"""once"""'], {'category': 'DeprecationWarning', 'module': '__name__'}), "('once', category=DeprecationWarning, module=__name__)\n", (487, 541), False, 'import warnings\n'), ((419, 444), 'sys.platform.capitalize', 'sys.platform.capitalize', ([], {})...
from .typing import Any, Dict, Iterable, List, Mapping, Optional, TypedDict, Union from .url import filename_to_uri import os import sublime TextDocumentSyncKindNone = 0 TextDocumentSyncKindFull = 1 TextDocumentSyncKindIncremental = 2 class DiagnosticSeverity: Error = 1 Warning = 2 Information = 3 H...
[ "os.path.basename" ]
[((14828, 14850), 'os.path.basename', 'os.path.basename', (['path'], {}), '(path)\n', (14844, 14850), False, 'import os\n')]
from durable.lang import * import durable.lang import yaml import os import asyncio import janus import pytest from queue import Queue from pprint import pprint from ansible_events.rules_parser import parse_rule_sets from ansible_events.engine import run_rulesets, start_source from ansible_events.messages import Shut...
[ "ansible_events.rule_types.EventSourceFilter", "ansible_events.messages.Shutdown", "asyncio.new_event_loop", "asyncio.Queue", "os.chdir", "asyncio.set_event_loop", "ansible_events.rules_parser.parse_rule_sets", "ansible_events.util.load_inventory", "os.path.abspath", "queue.Queue", "janus.Queue"...
[((465, 490), 'os.path.abspath', 'os.path.abspath', (['__file__'], {}), '(__file__)\n', (480, 490), False, 'import os\n'), ((523, 537), 'os.chdir', 'os.chdir', (['HERE'], {}), '(HERE)\n', (531, 537), False, 'import os\n'), ((551, 558), 'queue.Queue', 'Queue', ([], {}), '()\n', (556, 558), False, 'from queue import Queu...
from spinta.utils.nestedstruct import flatten, build_select_tree def test_flatten(): assert list(flatten([{'a': 1}])) == [{'a': 1}] assert list(flatten([{'a': {'b': 1}}])) == [{'a.b': 1}] assert list(flatten([{'a': {'b': [1, 2, 3]}}])) == [ {'a.b': 1}, {'a.b': 2}, {'a.b': 3}, ]...
[ "spinta.utils.nestedstruct.build_select_tree", "spinta.utils.nestedstruct.flatten" ]
[((1601, 1625), 'spinta.utils.nestedstruct.build_select_tree', 'build_select_tree', (["['a']"], {}), "(['a'])\n", (1618, 1625), False, 'from spinta.utils.nestedstruct import flatten, build_select_tree\n'), ((1669, 1697), 'spinta.utils.nestedstruct.build_select_tree', 'build_select_tree', (["['a.b.c']"], {}), "(['a.b.c'...
from __future__ import division, print_function from action_detector_diagnosis import ActionDetectorDiagnosis from argparse import ArgumentParser, ArgumentDefaultsHelpFormatter import numpy as np import pandas as pd import os from collections import OrderedDict from utils import interpolated_prec_rec from matplotlib i...
[ "action_detector_diagnosis.ActionDetectorDiagnosis", "matplotlib.pyplot.GridSpec", "numpy.nanmean", "numpy.array", "argparse.ArgumentParser", "pandas.Categorical", "numpy.linspace", "matplotlib.pyplot.yticks", "pandas.DataFrame", "collections.OrderedDict", "matplotlib.rcParams.update", "matplo...
[((364, 378), 'matplotlib.use', 'mpl.use', (['"""Agg"""'], {}), "('Agg')\n", (371, 378), True, 'import matplotlib as mpl\n'), ((662, 689), 'matplotlib.rcParams.update', 'mpl.rcParams.update', (['params'], {}), '(params)\n', (681, 689), True, 'import matplotlib as mpl\n'), ((1970, 1983), 'collections.OrderedDict', 'Orde...
import logging import pandas as pd import numpy as np import json from typing import List from .. import instance_path from . import DataSetInstance logger = logging.getLogger(__name__) class ZefDataFrame(DataSetInstance): _linear_space = [] _multiselect_space = [] _text_space = [] def linear_ans...
[ "logging.getLogger", "json.load", "pandas.Series", "pandas.DataFrame" ]
[((162, 189), 'logging.getLogger', 'logging.getLogger', (['__name__'], {}), '(__name__)\n', (179, 189), False, 'import logging\n'), ((682, 724), 'pandas.DataFrame', 'pd.DataFrame', ([], {'index': 'self.index', 'columns': '[]'}), '(index=self.index, columns=[])\n', (694, 724), True, 'import pandas as pd\n'), ((1056, 106...
r""" Variationally optimizing measurement protocols ============================================== .. meta:: :property="og:description": Using a variational quantum algorithm to optimize a quantum sensing protocol. :property="og:image": https://pennylane.ai/qml/_images/illustration1.png .. related:: ...
[ "matplotlib.pyplot.grid", "sympy.sqrt", "matplotlib.pyplot.ylabel", "pennylane.templates.ArbitraryStatePreparation", "pennylane.device", "pennylane.numpy.zeros_like", "pennylane.numpy.array", "pennylane.numpy.sum", "matplotlib.pyplot.semilogy", "pennylane.numpy.eye", "pennylane.qnode", "matplo...
[((7931, 7973), 'pennylane.device', 'qml.device', (['"""cirq.mixedsimulator"""'], {'wires': '(3)'}), "('cirq.mixedsimulator', wires=3)\n", (7941, 7973), True, 'import pennylane as qml\n'), ((9475, 9489), 'pennylane.qnode', 'qml.qnode', (['dev'], {}), '(dev)\n', (9484, 9489), True, 'import pennylane as qml\n'), ((11923,...
import shlex from unittest import TestCase, mock from compose_flow.commands import Workflow from tests import BaseTestCase TEST_PROJECT_NAME = "test_project_name" @mock.patch("compose_flow.commands.subcommands.env.utils") @mock.patch("compose_flow.commands.subcommands.env.get_backend") class WorkflowTestCase(Base...
[ "shlex.split", "compose_flow.commands.Workflow", "unittest.mock.patch", "unittest.mock.Mock" ]
[((170, 227), 'unittest.mock.patch', 'mock.patch', (['"""compose_flow.commands.subcommands.env.utils"""'], {}), "('compose_flow.commands.subcommands.env.utils')\n", (180, 227), False, 'from unittest import TestCase, mock\n'), ((229, 292), 'unittest.mock.patch', 'mock.patch', (['"""compose_flow.commands.subcommands.env....
# Copyright (c) 2013 Yubico AB # 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 of conditi...
[ "setuptools.setup" ]
[((1430, 2353), 'setuptools.setup', 'setup', ([], {'name': '"""yubico-bitcoin"""', 'version': '"""0.0.1"""', 'author': '"""<NAME>"""', 'author_email': '"""<EMAIL>"""', 'maintainer': '"""Yubico Open Source Maintainers"""', 'maintainer_email': '"""<EMAIL>"""', 'url': '"""https://github.com/Yubico/yubico-bitcoin-python"""...
""" @FileName: lsb.py @Description: Implement lsb @Author: Ryuk @CreateDate: 2021/06/27 @LastEditTime: 2021/06/27 @LastEditors: Please set LastEditors @Version: v0.1 """ import scipy.io.wavfile as wav import numpy as np np.random.seed(2020) stop_mark = np.random.randint(0, 2, 128) class LSBEmbedder: def __init_...
[ "numpy.hstack", "numpy.array", "numpy.random.randint", "scipy.io.wavfile.read", "numpy.random.seed", "numpy.concatenate", "scipy.io.wavfile.write" ]
[((222, 242), 'numpy.random.seed', 'np.random.seed', (['(2020)'], {}), '(2020)\n', (236, 242), True, 'import numpy as np\n'), ((255, 283), 'numpy.random.randint', 'np.random.randint', (['(0)', '(2)', '(128)'], {}), '(0, 2, 128)\n', (272, 283), True, 'import numpy as np\n'), ((822, 836), 'scipy.io.wavfile.read', 'wav.re...
from __future__ import division, print_function, absolute_import from torchreid import metrics from torchreid.engine import Engine from torchreid.losses import CrossEntropyLoss class ImageSoftmaxNASEngine(Engine): def __init__( self, datamanager, model, optimizer, ...
[ "torchreid.metrics.accuracy", "torchreid.losses.CrossEntropyLoss" ]
[((1061, 1176), 'torchreid.losses.CrossEntropyLoss', 'CrossEntropyLoss', ([], {'num_classes': 'self.datamanager.num_train_pids', 'use_gpu': 'self.use_gpu', 'label_smooth': 'label_smooth'}), '(num_classes=self.datamanager.num_train_pids, use_gpu=self.\n use_gpu, label_smooth=label_smooth)\n', (1077, 1176), False, 'fr...
from django.conf import settings from dbag import dbag_manager from dbag.metric_types import QueryMetric class UserMetric(QueryMetric): query_model = settings.AUTH_USER_MODEL dbag_manager.register_metric_type('users_metric', UserMetric) class ActiveUsersCount(UserMetric): default_query_filter = {'key': 'i...
[ "dbag.dbag_manager.register_metric_type" ]
[((183, 244), 'dbag.dbag_manager.register_metric_type', 'dbag_manager.register_metric_type', (['"""users_metric"""', 'UserMetric'], {}), "('users_metric', UserMetric)\n", (216, 244), False, 'from dbag import dbag_manager\n'), ((347, 420), 'dbag.dbag_manager.register_metric_type', 'dbag_manager.register_metric_type', ([...
import os import getpass import socket import urllib import asyncio import asyncssh import os from contextlib import contextmanager from .Config import cf class Accession(object): ''' From google: Definition (noun): a new item added to an existing collection of books, paintings, or artifacts. An Acc...
[ "urllib.parse.urlparse", "getpass.getuser", "asyncssh.connect", "urllib.parse.urlunparse", "asyncio.gather", "os.path.abspath", "asyncio.get_event_loop", "socket.gethostname" ]
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from geocode.geocode import Geocode from tqdm import tqdm import pandas as pd import numpy as np import ast from geopy.geocoders import Nominatim from geopy.extra.rate_limiter import RateLimiter import os import logging import time logging.basicConfig(level=logging.INFO, format=',%(asctime)s [%(levelname)-5.5s] [%(nam...
[ "logging.basicConfig", "logging.getLogger", "geopy.extra.rate_limiter.RateLimiter", "pandas.read_csv", "geopy.geocoders.Nominatim", "os.path.join", "os.path.isfile", "geocode.geocode.Geocode", "ast.literal_eval", "time.time" ]
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import json import logging import boto3 import botocore.exceptions import zebr0 import zebr0_aws.sts logger = logging.getLogger("zebr0-aws.iam") logger.info("creating iam client") class Client: def __init__(self, zebr0_client: zebr0.Client, sts_client: zebr0_aws.sts.Client) -> None: self.zebr0_client =...
[ "logging.getLogger", "json.dumps", "boto3.DEFAULT_SESSION.get_credentials" ]
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''' @author: deyan @desc: 获取价格, 计算涨跌幅 ''' import api.stock as st # 获取平安银行的行情数据 日K data = st.get_single_price(code='000001.XSHE', time_frequency='daily', start_date='2020-01-01', end_date='2020-02-01' ) # print(...
[ "api.stock.get_single_price", "api.stock.calculate_change_pct", "api.stock.transfer_price_freq" ]
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from django.contrib.auth.models import ( Permission, Group ) from django.contrib.auth import get_user_model from django.contrib.contenttypes.models import ContentType from papermerge.core.models import ( Access, AccessDiff ) # custom user is used - papermerge.core.models.User User = get_user_model() ...
[ "django.contrib.auth.get_user_model", "django.contrib.auth.models.Group.objects.get", "papermerge.core.models.AccessDiff", "django.contrib.contenttypes.models.ContentType.objects.get_or_create", "papermerge.core.models.Access.objects.filter", "django.contrib.auth.models.Permission.objects.filter", "djan...
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from django.db import models from general_business.models import Organization # Create your models here. class Campaign(models.Model): title = models.CharField( max_length = 300, verbose_name = "Campaign Title" ) subtitle = models.CharField( max_length=300, verbose_...
[ "django.db.models.ForeignKey", "django.db.models.JSONField", "django.db.models.ImageField", "django.db.models.DateTimeField", "django.db.models.URLField", "django.db.models.CharField" ]
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"""A set of helper classes.""" import re class Address(object): """A representation of a common address.""" def __init__(self, street=None, city=None, region=None, postcode=None, country=None, extra=None, category=None): """Construct an address.""" self._category = category ...
[ "re.compile" ]
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"""Initialize Config class to access environment variables.""" from dotenv import load_dotenv import os load_dotenv() class Config(object): """Set environment variables.""" SQLALCHEMY_DATABASE_URI = os.getenv('SQLALCHEMY_DATABASE_URI') SQLALCHEMY_TRACK_MODIFICATIONS = False SECRET_KEY = os.getenv('SE...
[ "os.getenv", "dotenv.load_dotenv" ]
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import os import random import pickle as pk import logging from collections import defaultdict from chemreader.readers.readmol2 import Mol2 import h5py import numpy as np from scipy import sparse from tqdm import tqdm from slgnn.config import PAD_ATOM, PAD_BOND SEED = 1458907 random.seed(SEED) class ZincToHdf5: ...
[ "random.sample", "pickle.dump", "random.shuffle", "os.scandir", "chemreader.readers.readmol2.Mol2", "os.path.join", "random.seed", "h5py.File", "tqdm.tqdm", "pickle.load", "numpy.array", "collections.defaultdict", "h5py.string_dtype", "logging.info" ]
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#!/usr/bin/env python """ Script to set up report database """ import argparse from sqlalchemy import create_engine from gdcdatamodel.models.submission import Base def setup(host, user, password, database): engine = create_engine( "postgres://{user}:{password}@{host}/{database}".format( user=...
[ "argparse.ArgumentParser", "gdcdatamodel.models.submission.Base.metadata.drop_all", "gdcdatamodel.models.submission.Base.metadata.create_all" ]
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# -*- coding: utf-8 -*- """ debug.py - Functions to aid in debugging Copyright 2010 <NAME> Distributed under MIT/X11 license. See license.txt for more infomation. """ from acq4.pyqtgraph.debug import * import acq4.pyqtgraph.debug as pgdebug def printExc(msg='', indent=4, prefix='|', msgType='error'): """Print ...
[ "acq4.pyqtgraph.debug.printExc" ]
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import sys import Parser def main(): with open(sys.argv[1], 'r') as file, open(sys.argv[2], 'w') as save: fileName = sys.argv[1].split(".", 1)[0] for line in file: if (line.strip()).startswith("//") or not line.strip(): continue else: translatedLine = Parser.parser(line, fileName) save.write(tra...
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# coding: utf-8 __author__ = "<NAME>" from django.test import TestCase from model_mommy import mommy from core.models import ProcessedVideo class ProcessedVideoModelTestCase(TestCase): """Class Testing Model processed """ def setUp(self): """ Initial Test Settings """ s...
[ "core.models.ProcessedVideo.objects.count", "model_mommy.mommy.make", "core.models.ProcessedVideo.objects.all" ]
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#!/usr/bin/env python # -*- coding: utf-8 -*- from flask import session, Flask import datetime app = Flask(__name__) app.config['SECRET_KEY'] = 'topsecret' app.config['PERMANENT_SESSION_LIFETIME'] = datetime.timedelta(seconds=30) @app.route('/') def index(): session['foo'] = str(datetime.datetime.now()) ret...
[ "datetime.datetime.now", "datetime.timedelta", "flask.session.items", "flask.Flask" ]
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#----------------------------------------------------------------------------- # Copyright (c) 2013-2020, PyInstaller Development Team. # # Distributed under the terms of the GNU General Public License (version 2 # or later) with exception for distributing the bootloader. # # The full license is in the file COPYING.txt...
[ "PyInstaller.utils.hooks.collect_data_files", "PyInstaller.utils.hooks.collect_submodules" ]
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from itertools import product, starmap from pytest import fixture, mark, raises from loggingex.context import ( ContextChange, ContextChangeAlreadyStartedException, ContextChangeNotStartedException, ContextInvalidNameException, ) from .helpers import InitializedContextBase def test_default_construct...
[ "loggingex.context.ContextChange.validate_context_variable_name", "loggingex.context.ContextChange.validate_context_variable_names", "itertools.product", "pytest.mark.parametrize", "pytest.raises", "pytest.fixture", "loggingex.context.ContextChange" ]
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# Copyright (c) Facebook, Inc. and its affiliates. import logging import warnings from abc import ABC import torch from mmf.common.registry import registry from mmf.utils.distributed import ( broadcast_xla_master_model_param, get_world_size, is_xla, ) from omegaconf import open_dict logger = logging.get...
[ "logging.getLogger", "omegaconf.open_dict", "torch.cuda.device_count", "torch_xla.core.xla_model.xla_device", "torch.cuda.is_available", "torch.distributed.get_rank", "torch_xla.core.xla_model.get_local_ordinal", "torch.distributed.is_available", "mmf.utils.distributed.broadcast_xla_master_model_par...
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"""Testing Event object of cbc_sdk.platform""" import pytest import logging from cbc_sdk.platform import Event, Process, EventFacet from cbc_sdk.rest_api import CBCloudAPI from cbc_sdk.errors import ApiError, TimeoutError from tests.unit.fixtures.CBCSDKMock import CBCSDKMock from tests.unit.fixtures.platform.mock_even...
[ "logging.basicConfig", "pytest.raises", "tests.unit.fixtures.CBCSDKMock.CBCSDKMock", "pytest.fixture", "cbc_sdk.rest_api.CBCloudAPI" ]
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import logging import re from collections import namedtuple from datetime import time import six from six.moves.urllib.parse import (ParseResult, quote, urlparse, urlunparse) logger = logging.getLogger(__name__) _Rule = namedtuple('Rule', ['field', 'value']) RequestRate = namedtup...
[ "logging.getLogger", "re.split", "six.moves.urllib.parse.ParseResult", "collections.namedtuple", "re.escape", "re.compile", "six.moves.urllib.parse.urlparse", "six.moves.urllib.parse.urlunparse", "six.moves.urllib.parse.quote", "re.sub" ]
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# Generated by Django 3.2.5 on 2021-07-24 11:49 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('accounts', '0002_alter_account_is_active'), ] operations = [ migrations.AlterField( model_name='account', name='is_a...
[ "django.db.models.BooleanField" ]
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"""Functions related to mapping parameter from model to parameter estimation problem""" import logging import numbers import os import re from typing import Tuple, Dict, Union, Any, List, Optional, Iterable import libsbml import numpy as np import pandas as pd from . import lint, measurements, sbml, core, observable...
[ "logging.getLogger", "concurrent.futures.ThreadPoolExecutor", "os.environ.get", "re.compile" ]
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# Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved. # SPDX-License-Identifier: Apache-2.0 from datetime import datetime import os from unittest import TestCase from unittest.mock import patch, MagicMock, call with patch("boto3.client") as boto_client_mock: from functions.usergamedata.UpdateItem i...
[ "datetime.datetime", "functions.usergamedata.UpdateItem.index.ddb_client.update_item.assert_has_calls", "unittest.mock.patch.dict", "functions.usergamedata.UpdateItem.index.ddb_client.exceptions.ConditionalCheckFailedException", "unittest.mock.MagicMock", "unittest.mock.call", "functions.usergamedata.Up...
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# -*- coding: utf-8 -*- import logging from openprocurement.audit.api.constants import SCHEMA_VERSION, SCHEMA_DOC LOGGER = logging.getLogger(__name__) def get_db_schema_version(db): schema_doc = db.get(SCHEMA_DOC, {"_id": SCHEMA_DOC}) return schema_doc.get("version", SCHEMA_VERSION - 1) def set_db_schema_...
[ "logging.getLogger" ]
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"""Test the Firmata config flow.""" from unittest.mock import patch from pymata_express.pymata_express_serial import serial from homeassistant import config_entries, setup from homeassistant.components.firmata.const import CONF_SERIAL_PORT, DOMAIN from homeassistant.const import CONF_NAME from homeassistant.core impo...
[ "homeassistant.setup.async_setup_component", "unittest.mock.patch" ]
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import time from .. import jwt import warnings warnings.simplefilter('always', DeprecationWarning) TASK_ROUTER_BASE_URL = 'https://taskrouter.twilio.com' TASK_ROUTER_BASE_EVENTS_URL = 'https://event-bridge.twilio.com/v1/wschannels' TASK_ROUTER_VERSION = "v1" REQUIRED = {'required': True} OPTIONAL = {'required': Fals...
[ "warnings.simplefilter", "time.time" ]
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import pytest from flask import Flask, render_template_string from flask_mobility import Mobility from flask_mobility.decorators import mobile_template, mobilized class TestDecorators(object): @pytest.fixture() def app(self): app = Flask(__name__) Mobility(app) @app.route("/") ...
[ "flask_mobility.decorators.mobilized", "flask.Flask", "flask.render_template_string", "flask_mobility.Mobility", "pytest.fixture", "flask_mobility.decorators.mobile_template" ]
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from ignite.metrics import Metric, Precision, Recall from typing import Sequence, Callable, Optional, Union import torch from ignite.metrics.metric import reinit__is_reduced __all__ = ["FbetaScore"] class FbetaScore(Metric): def __init__( self, beta: int = 1, output_transform: Callable...
[ "torch.mean", "ignite.metrics.Precision", "ignite.metrics.Recall" ]
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import networkx as nx import numpy as np import math from tqdm import tqdm import numba from numba.experimental import jitclass from numba import jit steadyspec = [ ('adj_matrix',numba.float64[:,:]), ('graph_size',numba.int32), ('background_field',numba.float64[:]), ('fixed_point_iter',numba.int32)...
[ "numpy.identity", "numpy.abs", "numpy.sqrt", "numpy.ones", "numpy.arange", "numpy.random.choice", "numpy.sort", "numba.experimental.jitclass", "numpy.exp", "numpy.array", "numpy.zeros", "numba.jit", "numpy.sum", "numpy.cumsum", "numpy.maximum", "networkx.to_numpy_matrix", "math.tanh"...
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#!/usr/bin/python3 # -*- coding: utf-8 -*- # Author: <NAME> # Creation date: 2021-09-11 (year-month-day) """ Implements SGLD to sample from the input data distribution, and various buffers to store the MCMC samples. """ import torch import torch.nn as nn from torch.distributions.bernoulli import Bernoulli as TorchBer...
[ "numpy.random.choice", "torch.LongTensor", "torch.stack", "torch.distributions.bernoulli.Bernoulli", "torch.randint", "torch.argsort", "torch.autograd.grad", "numpy.setdiff1d", "torch.no_grad", "torch.zeros", "numpy.arange", "torch.randn" ]
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import os import domain import swagger app = { 'URL_PREFIX': 'api', 'API_VERSION': 'v1', 'DEBUG': True, 'SWAGGER_INFO': swagger.api_doc_info, 'MONGO_URI': os.getenv('MONGO_URI'), 'ELASTICSEARCH_INDEX': 'chat', 'RESOURCE_METHODS': ['GET', 'POST', 'DELETE'], 'ITEM_METHODS': ['GET', 'PATCH...
[ "os.getenv" ]
[((176, 198), 'os.getenv', 'os.getenv', (['"""MONGO_URI"""'], {}), "('MONGO_URI')\n", (185, 198), False, 'import os\n')]
# Copyright 2022 Google LLC # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, s...
[ "google.auth.credentials.AnonymousCredentials", "os.environ.get", "uuid.uuid4" ]
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import discord from discord.ext import commands import random class EightBall(commands.Cog): def __init__(self, bot): self.bot = bot @commands.command(aliases=["8Ball", "Random8"]) async def _8Ball(self, ctx, *, question): responses = [ "It is certain.", "It is dec...
[ "random.choice", "discord.ext.commands.command" ]
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""" Audience Handlers for Watchtower """ __author__ = ['<NAME>', '<NAME>'] import tornado.web import tornado.escape from logic.hashtags import topic_hashtag, get_hashtag_aggregations from logic.helper import get_relevant_locations from logic.topics import get_topic_list from logic.users import get_current_topic, get...
[ "logic.hashtags.get_hashtag_aggregations", "logic.hashtags.topic_hashtag", "logic.topics.get_topic_list", "logic.helper.get_relevant_locations" ]
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""" @author: <NAME> @title: Third Activity - Binarization """ import skimage from skimage.color import rgb2gray from skimage import data import matplotlib.pyplot as plt import matplotlib matplotlib.rcParams['font.size'] = 18 import numpy as np def Invert(image): grayim = rgb2gray(image) a, b = np.shape(...
[ "matplotlib.pyplot.imshow", "skimage.color.rgb2gray", "skimage.data.chelsea", "matplotlib.pyplot.figure", "numpy.empty", "numpy.shape", "matplotlib.pyplot.show" ]
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# -*- coding: utf-8 -*- # Form implementation generated from reading ui file 'interface.ui' # # Created by: PyQt5 UI code generator 5.15.4 # # WARNING: Any manual changes made to this file will be lost when pyuic5 is # run again. Do not edit this file unless you know what you are doing. from PyQt5 import ...
[ "PyQt5.QtWidgets.QWidget", "PyQt5.QtWidgets.QTextEdit", "PyQt5.QtWidgets.QLineEdit", "PyQt5.QtGui.QFont", "PyQt5.QtWidgets.QListWidget", "PyQt5.QtCore.QMetaObject.connectSlotsByName", "PyQt5.QtWidgets.QProgressBar", "PyQt5.QtWidgets.QHBoxLayout", "PyQt5.QtWidgets.QVBoxLayout", "PyQt5.QtWidgets.QGr...
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import json from lib.solutions.CHK.checkout_solution import checkout import string import importlib.resources class Test: def test_k_functionality(self): input_skus = "KK" total_value = checkout(input_skus) assert total_value == 120 def test_n_functionality(self): input_skus ...
[ "json.load", "lib.solutions.CHK.checkout_solution.checkout" ]
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################################################################################ # MIT License # # Copyright (c) 2017 <NAME> & <NAME> # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without...
[ "txpostgres.reconnection.DeadConnectionDetector.reconnect", "txpostgres.reconnection.DeadConnectionDetector.startReconnecting", "txpostgres.reconnection.DeadConnectionDetector.connectionRecovered", "twisted.internet.defer.returnValue" ]
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#-- GoldenFace 1.0 (Face Golden Ratio & Cosine Similarity Library)-- # Author : <NAME> # Date : 15.05.2020 # Description : Facial Cosine Similarity,Face Golden Ratio Calculation And Facial Landmark Detecting/Drawing Library # Website : http://umit.space # Mail : <EMAIL> # Github : https://gi...
[ "cv2.rectangle", "cv2.imwrite", "cv2.face.createFacemarkLBF", "pkg_resources.resource_filename", "cv2.cvtColor", "cv2.CascadeClassifier", "cv2.imread" ]
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