seq_id string | text string | repo_name string | sub_path string | file_name string | file_ext string | file_size_in_byte int64 | program_lang string | lang string | doc_type string | stars int64 | dataset string | pt string | api list |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
35347314615 | # -*- coding: utf-8 -*-
from flask import g,render_template
import datetime
'''
自定义分页类
'''
def iPagination( params ):
import math
ret = {
"is_prev":1,
"is_next":1,
"from" :0 ,
"end":0,
"current":0,
"total_pages":0,
"page_size" : 0,
"total" : 0,
... | mooc-class/python-flask-minapp | 完整源码/common/libs/Helper.py | Helper.py | py | 2,978 | python | en | code | 20 | github-code | 7 | [
{
"api_name": "math.ceil",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "math.ceil",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "flask.g",
"line_number": 57,
"usage_type": "name"
},
{
"api_name": "flask.g.current_user",
"line_number":... |
15802697287 | """
Filename: text_extraction.py
Purpose: This file implements the text extraction process of the pipeline.
Functionality: This file provides functions for text extraction, including
tasks like reading input files, preprocessing text, applying
extraction techniques, and generating ex... | ghazio/OTC_SEC | Text_extraction/Securities_utils.py | Securities_utils.py | py | 13,281 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "regex.search",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "numpy.nan",
"line_number": 62,
"usage_type": "attribute"
},
{
"api_name": "regex.search",
"line_number": 64,
"usage_type": "call"
},
{
"api_name": "regex.sub",
"line_number... |
12009837789 | import matplotlib.pyplot as plt
from random import randint
import pickle
import gym
import numpy as np
import argparse
import wimblepong
from agent import Agent
parser = argparse.ArgumentParser()
parser.add_argument("--headless", action="store_true", help="Run in headless mode")
parser.add_argument("--housekeeping", ... | oskarij/rlproject | train_pong.py | train_pong.py | py | 3,761 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "gym.make",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "matplotlib.py... |
18357180466 | # -*- coding: utf-8 -*-
"""
@author: Yifan Cheng, Skylar Du, Yashash Gaurav, Mark He
"""
import pandas as pd
import helpers as h
import numpy as np
us_state_to_abbrev = {
"Alabama": "AL",
"Alaska": "AK",
"Arizona": "AZ",
"Arkansas": "AR",
"California": "CA",
"Colorado": "CO",
"Connecticut"... | junhuih/DFP-Project | average_stats.py | average_stats.py | py | 7,810 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "helpers.read_final_data",
"line_number": 75,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 98,
"usage_type": "call"
},
{
"api_name": "numpy.round",
"line_number": 103,
"usage_type": "call"
},
{
"api_name": "numpy.round",
... |
11386995191 | from ...util import config
import logging
def logLoopProgress(count: int, last_check: int, N: int,
name: str) -> int:
"""Function to log the progress of loops through the a of size N.
Arguments:
count {int} -- Current iteration count.
last_check {int} -- Last time log... | rukmal/PaperRank | PaperRank/compute/util/helpers.py | helpers.py | py | 1,319 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "util.config.compute",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "util.config",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "logging.info",
"line_number": 35,
"usage_type": "call"
}
] |
1103197729 | from django.core.checks import messages
from django.http import HttpResponseRedirect
from django.shortcuts import render
# Create your views here.
from django.template import loader
from home.models import Setting, ContactFormMessage, ContactFormu
from product.models import Product
def index(request):
setting = ... | sevgiyilmaz/ecommerce_website | home/views.py | views.py | py | 1,934 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "home.models.Setting.objects.get",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "home.models.Setting.objects",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "home.models.Setting",
"line_number": 14,
"usage_type": "name"
},
{
... |
37619390983 | # -*- coding:utf-8 -*-
"""
File Name： visual.py
Description : 可视化
Author : royce.mao
date： 2020/3/2 16:20
"""
import cv2
import json
import numpy as np
from PIL import Image, ImageDraw, ImageFont
# CTPN定位之后的数字串小图
class DigitPic(object):
def __init__(self, ):
super(DigitPi... | RoyceMao/CRNN_ATTN_CTC | utils/visual.py | visual.py | py | 3,667 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "numpy.pad",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "cv2.getTextSize",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "cv2.FONT_HERSHEY_SIMPLEX",
"line_number": 42,
"usage_type": "attribute"
},
{
"api_name": "cv2.putText",... |
357868669 | """library_system URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/4.0/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: path('', views.home, name='home')
Clas... | Sumitsdalvi/library_system | library_system/urls.py | urls.py | py | 1,418 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "django.urls.path",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "django.contrib.admin.site",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.admin",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "... |
37954145251 | import logging
logger = logging.getLogger('server_logger')
class ListenPort:
def __set__(self, instance, value):
if value < 1024 or value > 65535:
logger.critical('Попытка запуска сервера с неверным номером порта. '
'Номер порта должен быть из диапазона [1024;65535]... | AndreyYablokov/CourseNetApp | project/descriptors.py | descriptors.py | py | 528 | python | ru | code | 0 | github-code | 7 | [
{
"api_name": "logging.getLogger",
"line_number": 2,
"usage_type": "call"
}
] |
31723779712 | import os
import queue
from multiprocessing import Process, cpu_count
def search(paths, query_q, result_q):
lines = []
for path in paths:
lines.extend(l.strip() for l in open(path))
query = query_q.get()
while query:
result_q.put_([l for l in lines if query in l])
print(result_... | stoneyangxu/python-kata | oop/queue_search.py | queue_search.py | py | 1,094 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "multiprocessing.cpu_count",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path.isfile",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path",
"li... |
1088085254 | """
This module takes care of starting the API Server, Loading the DB and Adding the endpoints
"""
from flask import Flask, request, jsonify, url_for, Blueprint
from api.models import db, User, Character, Favorite
from api.utils import generate_sitemap, APIException
api = Blueprint('api', __name__)
###################... | ChuchoAraujo/practicabd | src/api/routes.py | routes.py | py | 2,937 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "api.models",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "flask.Blueprint",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "api.models.User.query.all",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "api.models.User.qu... |
2630248855 | # Data-guided multi-granularity selector for attribute reduction
# Jiang Z, Dou H, Song J, et al. Data-guided multi-granularity selector for attribute reduction[J]. Applied Intelligence, 2021, 51: 876-888.
import math
import time
import numpy as np
from sklearn.preprocessing import MinMaxScaler
from scipy.spatial.dist... | xiaochou866/PaperCode | Algorithm/compareAlgorithm6.py | compareAlgorithm6.py | py | 6,967 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "numpy.ndarray",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "scipy.spatial.distance.squareform",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "scipy.spatial.distance.pdist",
"line_number": 19,
"usage_type": "call"
},
{
... |
36689024810 | from configuration import listOfCountries
from configuration import listOfColors
from configuration import randomDataMax
from configuration import randomDataMin
import pandas as pd
import matplotlib.pyplot as plt
import random
import numpy as np
from matplotlib import cm
from matplotlib.colors import ListedColormap, Li... | HiszpanInk/RandomChartGenerator | main.py | main.py | py | 8,899 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "random.randint",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "configuration.listOfCountries",
"line_number": 34,
"usage_type": "argument"
},
{
"api_name": "configuration.listOfCountries",
"line_number": 35,
"usage_type": "name"
},
{
"ap... |
24517770198 | from Mordicus.Core.Containers import ProblemData as PD
from Mordicus.Core.Containers import CollectionProblemData as CPD
from Mordicus.Core.Containers import Solution as S
from Mordicus.Core.DataCompressors import SnapshotPOD as SP
from Mordicus.Modules.Scilab_ESI_Group import SciSolutionReader as SSR
from sklearn.gaus... | feelpp/mordicus | src/poc-1/examples/Modules/Scilab_ESI_Group/OpenFOAMairfoil2D/AirfoilOffline.py | AirfoilOffline.py | py | 4,311 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "os.getcwd",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.chdir",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "Mordicus.Modules.Scilab_ESI_Group.Sci... |
11809811990 | # здесь контроллеры/хендлеры/представления для обработки запросов (flask ручки). сюда импортируются сервисы из пакета service
from flask import request
# Пример
from flask_restx import Resource, Namespace
from models import Movie, movies_schema, movie_schema
from setup_db import db
movie_ns = Namespace('movies')
@mo... | AnitaKrav/Lesson_18_easy_Kravchenko | views/movies.py | movies.py | py | 1,814 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "flask_restx.Namespace",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "flask_restx.Resource",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "setup_db.db.session.query",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "m... |
35357886468 | import tensorflow as tf
from tfac.queue_input import QueueInput
from tensorflow.examples.tutorials.mnist import input_data
from functools import partial
import time
from tfac.ops_runner import OpRunner
class ModeKeys(object):
"""Standard names for model modes.
The following standard keys are defined:
... | Seraphli/tfac | example/mlp.py | mlp.py | py | 5,167 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "tensorflow.layers.dense",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "tensorflow.layers",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.nn",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "ten... |
27785455671 | import platform
from pathlib import Path
import shutil
from pbpy import pblog, pbtools, pbunreal
def publish_build(branch_type, butler_exec_path, publish_stagedir, butler_project, butler_manifest):
# Test if our configuration values exist
if not butler_project or not butler_manifest:
pblog.error("bu... | ProjectBorealis/PBSync | pbpy/pbbutler.py | pbbutler.py | py | 1,058 | python | en | code | 67 | github-code | 7 | [
{
"api_name": "pbpy.pblog.error",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pbpy.pblog",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "platform.system",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_... |
37808694261 | from .task import LatexTask, TaskResult
from .gtk import GObject
from .types import TemplateName
from .notify import Notify
from ..abstraction import Letter, Design
from ..latex.workspace import Workspace
from ..latex.preamblecache import PreambleCache
from typing import Optional, Tuple
from warnings import warn
from t... | mjziebarth/Hurtigbrief | hurtigbrief/gui/manager.py | manager.py | py | 3,342 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "threading.Thread",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "queue.Queue",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "latex.workspace.Workspace",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "latex.preamble... |
22516127748 | import graphene
from graphene_django import DjangoObjectType
from django.db.models import Q
from graphene import relay, ObjectType
from graphene_django.filter import DjangoFilterConnectionField
from notes.models import Note, UserPreferences, UserInfo, User
class NoteType(DjangoObjectType):
class Meta:
mod... | LenSunko01/PythonBackendCourse | project/project/schema.py | schema.py | py | 1,719 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "graphene_django.DjangoObjectType",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "notes.models.Note",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "graphene.relay.Node",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_na... |
15423079105 | import sklearn.datasets as datasets
import matplotlib.pyplot as plt
import numpy as np
from timeit import default_timer as timer
from datetime import timedelta
from sklearn import preprocessing
from force.force_scheme import ForceScheme
def main():
raw = datasets.load_iris(as_frame=True)
X = raw.data.to_nump... | fpaulovich/dimensionality-reduction | force/force_scheme_main.py | force_scheme_main.py | py | 821 | python | en | code | 2 | github-code | 7 | [
{
"api_name": "sklearn.datasets.load_iris",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "sklearn.datasets",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "sklearn.preprocessing.StandardScaler",
"line_number": 14,
"usage_type": "call"
},
{
"... |
20296479630 | from flask import Flask, render_template
app = Flask(__name__)
COMMUNITIES =[
{
'id': 1,
'No. of Members': '40',
'title': 'Virtual Code Club',
'location': 'Bhopal'
},
{
'id': 2,
'No. of Members': '50',
'title': 'Anime Club',
'location': 'Delhi'
},
{
'id': 3,
'No. of Mem... | aditi755/Community-Bridge | app.py | app.py | py | 647 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "flask.Flask",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 28,
"usage_type": "call"
}
] |
36677498102 | """Blender script to composite shots built with render_manager
To test:
"C:\Program Files\Blender Foundation\Blender 3.0\blender" -b "D:\Assets\Models\Mine\compositor recipes\defaullt_compositor_chain.blend" --python compositor_script.py -- "D:\Projects\Sitting Duck\Blender\blender_shot_list.json" film 1 1 .png
"""... | rolandjkay/video_production_scripts | blender_render_manager/compositor_script.py | compositor_script.py | py | 11,214 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "logging.getLogger",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "os.path",
"li... |
36099054099 | from django.urls import path
from . import views
urlpatterns = [
path("api/get_messages", views.GetMessages.as_view() , name="get_messages"),
path("api/add_new_message", views.AddNewMessage.as_view() , name="add_new_message"),
path("chat", views.index, name="index"),
path("chat/<str:room_name>", views... | tanujsonare/social-media | social_media_backend/chat/urls.py | urls.py | py | 342 | python | en | code | 2 | github-code | 7 | [
{
"api_name": "django.urls.path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
26906051730 | from pickle import MARK
import matplotlib.pyplot as plt
from matplotlib.ticker import (MultipleLocator, FormatStrFormatter,AutoMinorLocator)
import pandas as pd
import numpy as np
import math
import os
import shutil
from PIL import Image
import ipywidgets as widgets
from IPython.display import display
import nafuma.... | rasmusthog/nafuma | nafuma/electrochemistry/plot.py | plot.py | py | 22,515 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "matplotlib.pyplot.rcParams",
"line_number": 47,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 47,
"usage_type": "name"
},
{
"api_name": "nafuma.auxillary.update_options",
"line_number": 51,
"usage_type": "call"
},
{
... |
72223556703 | from distutils.core import setup
from distutils.extension import Extension
from Cython.Build import cythonize
import os
root = os.path.abspath(os.path.join(__file__, '..', '..', '..'))
setup(ext_modules=cythonize(Extension(
'./target/client',
sources=['client.pyx', 'InstrumnetGainer/InstrumnetGainer.cpp', 'C... | algo2019/algorithm | AlgorithmEngine/MarketDataServer/CTPClient/setup.py | setup.py | py | 667 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "os.path.abspath",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "distutils.core.setup",
"li... |
14415652650 | """API for fitbit bound to Home Assistant OAuth."""
import logging
from typing import Any
from fitbit import Fitbit
from homeassistant.core import HomeAssistant
from .model import FitbitDevice, FitbitProfile
_LOGGER = logging.getLogger(__name__)
class FitbitApi:
"""Fitbit client library wrapper base class.""... | peaqnetwork/core | homeassistant/components/fitbit/api.py | api.py | py | 2,141 | python | en | code | null | github-code | 7 | [
{
"api_name": "logging.getLogger",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "homeassistant.core.HomeAssistant",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "fitbit.Fitbit",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "mode... |
13031402800 | # -*- coding: utf-8 -*-
"""
Code to compile Tulsa football hit data into a DataFrame
"""
from __future__ import print_function, division
import pandas as pd
import numpy as np
import toolz
import copy
#------------#
# FUNCTIONS #
#------------#
@toolz.curry
def during_practice(practice, hit_date):
... | smhilde/ut_hits | compile_data.py | compile_data.py | py | 14,743 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "numpy.logical_and",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "toolz.curry",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "toolz.curry",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "toolz.curry",
... |
72721430302 | __author__ = 'Justin Finkle'
__email__ = 'jfinkle@u.northwestern.edu'
import sys
import os
import pandas as pd
from matplotlib.backends.backend_pdf import PdfPages
import numpy as np
import networkx as nx
from collections import deque
from Swing.util.Evaluator import Evaluator
from Swing.util.lag_identification import... | jiawu/Roller | scripts/figure3/gardner_edge_promotion.py | gardner_edge_promotion.py | py | 11,272 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "matplotlib.rcParams",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.rcParams",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "pandas.read_pickle",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "... |
8151947297 | from scripts.entity import Entity
from scripts.support import *
import pygame
import random
# ENTITY THAT PLAYER CAPTURES
class Pokemon(Entity):
def __init__(self, pos, groups, barrier_group, visible_group, grass_group,death_group,pokemon_sprites,pokemon_on_level,pokemon,player,animations):
super().__init... | bvolesky/Pokemon-Catch | scripts/pokemon.py | pokemon.py | py | 4,408 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "scripts.entity.Entity",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "pygame.time.get_ticks",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "pygame.time",
"line_number": 39,
"usage_type": "attribute"
},
{
"api_name": "pygame.ti... |
15638774124 | from aiogram import Dispatcher, types
from aiogram.types import CallbackQuery, ReplyKeyboardRemove
from aiogram.dispatcher import FSMContext
from aiogram.dispatcher.filters.state import State, StatesGroup
from bot.keyboards import KB_GET_PHONE_NUMBER, KB_CHANGE_QUESTIONNAIRE_MENU
from bot.utils.main import delete_old_... | Tommy4chan/DatingBot | bot/handlers/user/questionnaire_menu_handler.py | questionnaire_menu_handler.py | py | 5,183 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "aiogram.dispatcher.filters.state.StatesGroup",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "aiogram.dispatcher.filters.state.State",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "aiogram.dispatcher.filters.state.StatesGroup",
"line_numb... |
43152839349 | # -*- coding: utf-8 -*-
__all__ = ('TheTVDB', 'TheTVDBSerie')
import os
import urllib
from xml.etree import cElementTree
class TheTVDB(object):
"""Class to manipulate the online TVDB Database."""
API_KEY = 'F034441142EF8F93'
URL_API = 'http://thetvdb.com/api/'
URL_BANNER = 'http://thetvdb.com/banne... | lightcode/SeriesWatcher | serieswatcher/serieswatcher/thetvdb.py | thetvdb.py | py | 4,312 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "urllib.urlopen",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "xml.etree.cElementTree.parse",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "xml.etree.cElementTree",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "ur... |
25983061466 | def start() :
import pchain
import libstarpy
SrvGroup = libstarpy._GetSrvGroup(0)
Service = SrvGroup._GetService("","")
query = SrvGroup._NewQueryRecord()
hostobj = Service.PCRealmBase._FirstInst(query)
Service.PCRealmBase._QueryClose(query)
if hostobj == None :
print('PCRealmBase instance is not... | srplab/pchain | pchain/debug.py | debug.py | py | 3,014 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "libstarpy._GetSrvGroup",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "libstarpy._SRPUnLock",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "flask.Flask",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "libstarpy._SRP... |
70275029022 | import boto3
# Get the service resource.
dynamodb = boto3.resource('dynamodb', region_name = 'us-west-2')
# Create the DynamoDB table.
table = dynamodb.create_table(
TableName='Games1',
KeySchema=[
{
'AttributeName': 'gname',
'KeyType': 'HASH'
},
{
... | Prashanth0797/AWS_assignment1 | Q9/Q9.py | Q9.py | py | 1,195 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "boto3.resource",
"line_number": 4,
"usage_type": "call"
}
] |
4099914160 | import face_recognition as fr
from engine import reconhece_rosto, getRostos
def register_face(matricula):
while(True):
desconhecido = reconhece_rosto(f"{matricula}.png")
if desconhecido[0]:
rosto_desconhecido = desconhecido[1][0]
rostos_conhecidos, nome_rostos = getRostos(... | SrLucca/facial-recognition | picture.py | picture.py | py | 674 | python | pt | code | 0 | github-code | 7 | [
{
"api_name": "engine.reconhece_rosto",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "engine.getRostos",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "face_recognition.compare_faces",
"line_number": 12,
"usage_type": "call"
}
] |
22654323807 | import hashlib
import os
from typing import Any, Dict
import cv2
import numpy as np
import torch
from theseus.base.metrics.metric_template import Metric
from theseus.base.utilities.loggers import LoggerObserver
from theseus.cv.base.utilities.visualization.visualizer import Visualizer
# To fix tensorflow bug on Googl... | kaylode/theseus | theseus/cv/classification/metrics/projection.py | projection.py | py | 3,684 | python | en | code | 30 | github-code | 7 | [
{
"api_name": "tensorflow.io",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "tensorboard.compat",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "theseus.base.metrics.metric_template.Metric",
"line_number": 23,
"usage_type": "name"
},
{... |
44983327765 | # -*- coding: utf-8 -*-
import re
import os
from redbot.core import commands, bank, checks
import sqlite3
class InitDb(object):
def __init__(self, db_file):
try:
postban_dir = os.path.expanduser('~/.postbank')
os.mkdir(postban_dir)
except FileExistsError:
# Do... | BraveLittleRoaster/Roaster-Cogs | postbank/postbank.py | postbank.py | py | 13,106 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "os.path.expanduser",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "os.mkdir",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "sqlite3.connect",
"line_... |
42849130188 | """This function uses BeautifulSoup to retrieve a table from the National Center for Education Statistics with the number of
students enrolled in public schools for every state. Since the website (and much of the table format) is the same as the one
used for the web_parser1 dataset, much of the code is very similar."... | pquarles/CS2316-FinalProject | Code for Data Collection & Cleaning/web_parser3.py | web_parser3.py | py | 1,090 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "requests.get",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 13,
"usage_type": "call"
}
] |
9837694923 | __title__ = "Reinforcement Drawing Configuration"
__author__ = "Suraj"
__url__ = "https://www.freecadweb.org"
from pathlib import Path
# stroke-width of structure in drawing svg
STRUCTURE_STROKE_WIDTH = 0.5
# Fill style of structure
# - set it to "Automatic" to automatically select structure color
# - set it to "C... | amrit3701/FreeCAD-Reinforcement | ReinforcementDrawing/config.py | config.py | py | 4,944 | python | en | code | 49 | github-code | 7 | [
{
"api_name": "pathlib.Path",
"line_number": 43,
"usage_type": "call"
}
] |
18449108526 | import dash
import dash_html_components as html
import dash_core_components as dcc
import plotly.graph_objs as go
import visdcc
import dash_table
from dash.dependencies import Input, Output, State
from dash_sunburst import Sunburst
from datenhaltung import connection as connect
from logik import kohortenabfrage as kh
f... | Fuenfgeld/HS-Mannheim-I2B2-Projekt-2019-Gruppe2 | visualisierung/website.py | website.py | py | 21,815 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "logik.tree_dictionary_import_export.treedictionary_aus_pickle_importieren",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "logik.tree_dictionary_import_export",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "logik.querystack.Querystack.getInst... |
27291606644 | # _*_ coding :utf-8 _*_
__author__ = 'du'
__blog__ = 'www.cnblogs.com/anmutu;www.zmfei4.com;'
__date__ = '2020/1/6 2:01'
from collections import defaultdict
from datetime import datetime
# 效率最高的其实就是这个记忆搜索法。
total = defaultdict(int)
total_memory = defaultdict(int)
def fib_recursion(k):
assert k > 0, "k的值必须大于0"... | anmutu/arithmetic | msic/fib_recursion_memory.py | fib_recursion_memory.py | py | 1,609 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "collections.defaultdict",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": ... |
41029754068 | import threading
import logging
import time
import random
logging.basicConfig(level=logging.INFO, format='[%(levelname)s])] [%(threadName)s] [%(message)s]')
class MyCounter:
def __init__(self, start=0):
self.lock = threading.Lock()
self.counter = start
def increment(self):
logging.in... | sokolovdp/threading | thread-locks.py | thread-locks.py | py | 1,860 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "logging.basicConfig",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "threading.Lock",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "logging.info",
... |
72867700382 | import torch
import sys
from vision.nn.mobilenet import MobileNetV1
from extract_tf_weights import read_weights
def fill_weights_torch_model(weights, state_dict):
for name in state_dict:
if name == 'classifier.weight':
weight = weights['MobilenetV1/Logits/Conv2d_1c_1x1/weights']
w... | Ascend/ModelZoo-PyTorch | PyTorch/dev/cv/detection/MobileNetV3-SSD_ID0408_for_PyTorch/translate_tf_mobilenetv1.py | translate_tf_mobilenetv1.py | py | 3,277 | python | en | code | 31 | github-code | 7 | [
{
"api_name": "torch.tensor",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "torch.float32",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "torch.tensor",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "torch.float32",
"lin... |
11028660197 | import random, math
from _functools import reduce
from copy import copy, deepcopy
from builtins import isinstance
from resource import setrlimit, RLIMIT_AS, RLIMIT_DATA
import sys
from itertools import product
from heapq import heappush, heappop
from statistics import mean, variance
import time
class NPuzzle:
"""... | alexRot622/AI_beamSearch | schelet.py | schelet.py | py | 18,485 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "math.sqrt",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "copy.copy",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "copy.copy",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "_functools.reduce",
"line_number": ... |
44787113785 | import pywhatkit
import speech_recognition as sr
def listen():
listener = sr.Recognizer()
try:
with sr.Microphone() as source:
print("listening...")
voice = listener.listen(source)
command = listener.recognize_google(voice)
command = command... | mrp21117/PERSONAL_AI | codes/take_command.py | take_command.py | py | 910 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "speech_recognition.Recognizer",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "speech_recognition.Microphone",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pywhatkit.playonyt",
"line_number": 34,
"usage_type": "call"
}
] |
27602737369 | from dataclasses import dataclass
from typing import Union
#jeder spieler sammelt chips bekommt punkte
#pro zug bekommt spieler zufälligen chips
#punktewert des neuen chips wird zu Punktestand addiert
#mehr als 7 punkte nach weißem chip verloren
#bei orange passiert nichts
#bei rot und einem oder zwei orangenem extra ... | Mxt3usz/python_stuff | Projects/chips.py | chips.py | py | 1,512 | python | de | code | 0 | github-code | 7 | [
{
"api_name": "dataclasses.dataclass",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "dataclasses.dataclass",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "dataclasses.dataclass",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "dat... |
24507564335 | import glob
import logging
import os
from pathlib import Path
from tempfile import NamedTemporaryFile
import pandas as pd
import pendulum
from airflow.hooks.base import BaseHook
from minio import Minio
DATA_DIR = "/data"
USE_COLS = ["city_ascii", "lat", "lng", "country", "iso2", "iso3"]
BATCH_SIZE = 5000
BATCH_SIZE ... | mrn-aglic/examples | airflow-http-requests-dtm/dags/helpers/shared.py | shared.py | py | 3,232 | python | en | code | 6 | github-code | 7 | [
{
"api_name": "pendulum.now",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "pathlib.Path.mkdir",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"l... |
9113436629 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import numpy as np
import matplotlib.pyplot as plt
import Advanced_1.confusionMatrix as cm
import pickle
from tensorflow.examples.tutorials.mnist import input_data
from Advanced_1.dataBatcher import DataBatche... | fotherda/Assignment1 | Advanced_1/src/Advanced_1/part2.py | part2.py | py | 6,093 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "sklearn.metrics.confusion_matrix",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "pickle.dump",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "numpy.set_printoptions",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "m... |
74065141664 | from django.db import models
import pprint
from django.conf import settings
# Create your models here.
class Game(models.Model):
CATEGORY_PC = 1
CATEGORY_MOBILE = 2
CATEGORY_CONSOLE = 3
CATEGORY_OTHER = 4
GAME_CATEGORY = (
(CATEGORY_PC, 'PC'),
(CATEGORY_MOBILE, 'Mobile'),
... | k-ysu/raptor-public | raptor/streamer/models/game.py | game.py | py | 1,232 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "django.db.models.Model",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "django.db.models.CharField",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": ... |
14623183546 | from loguru import logger
import colorama
class Episode:
e_id = None
num = None
air_date = None
link = None
def __init__(self, e_id, num, air_date, link):
logger.debug(f"Creating episode obj (id: {e_id}, num: {num})")
self.e_id = e_id
self.num = num
self.air_date =... | ale-ben/AnimeUnityEngine | common_classes.py | common_classes.py | py | 2,088 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "loguru.logger.debug",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "loguru.logger",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "loguru.logger.debug",
"line_number": 59,
"usage_type": "call"
},
{
"api_name": "loguru.logger",... |
36726709017 | from connexion.resolver import Resolver
from connexion.operations import AbstractOperation
import os, traceback
from flask import Flask, Response
import connexion, json, logging
from stratus.handlers.manager import Handlers
from functools import partial
from stratus_endpoint.util.config import Config, StratusLogger
fro... | nasa-nccs-cds/stratus | stratus/handlers/openapi/legacy/app.py | app.py | py | 3,119 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "connexion.resolver.Resolver",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "connexion.resolver.Resolver.__init__",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "connexion.resolver.Resolver",
"line_number": 15,
"usage_type": "name"
... |
16881390040 | """Script to migrate a Maestrowf YAML file to a CoRR YAML file
To run use:
$ python corr-sync.py --corr-output=corr.yaml --output-path=demo/sample_output
To run the tests:
$ py.test --doctest-modules migrate_yaml.py
Test reading a sample Maestorwf file
>>> data_path = os.path.join(get_path(), 'lulesh_samp... | usnistgov/contracts | contracts/transformers/corrhttptransformer.py | corrhttptransformer.py | py | 4,664 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "os.path.relpath",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 50,
"usage_type": "attribute"
},
{
"api_name": "mimetypes.guess_type",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "os.path.getsize",
... |
41062738841 | import pandas as pd
from sklearn.linear_model import LinearRegression
data = pd.read_csv("papsep2022.csv")
features = data[["place","area"]]
target = data["price"]
print(features)
print(target)
model = LinearRegression()
model.fit(features , target) | VedantMahale30/Machine-Learning-Training | L4/p1.py | p1.py | py | 265 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "pandas.read_csv",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "sklearn.linear_model.LinearRegression",
"line_number": 11,
"usage_type": "call"
}
] |
29581646628 | import torch
from survboard.python.utils.utils import neg_par_log_likelihood
class intermediate_fusion_mean_criterion(torch.nn.Module):
def forward(
self,
predictions,
target,
alpha=0,
):
joint_log_hazard, unimodal_log_hazards = predictions
time, event = target... | BoevaLab/survboard | survboard/python/criterion.py | criterion.py | py | 1,165 | python | en | code | 2 | github-code | 7 | [
{
"api_name": "torch.nn",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "survboard.python.utils.utils.neg_par_log_likelihood",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "torch.unsqueeze",
"line_number": 19,
"usage_type": "call"
},
{
"... |
43212949935 | from flask import Flask,render_template,request
import pickle
from sympy import re
model=pickle.load(open('stroke.pkl','rb'))
app=Flask(__name__)
@app.route('/',methods=['GET'])
def home():
return render_template('stroke.html')
@app.route('/predict',methods=['POST','GET'])
def predict():
if request.... | Praneethkanchanakuntla/Electronic-Health-Care-System | predict/Stroke/app.py | app.py | py | 2,146 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "pickle.load",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "flask.Flask",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "flask.request.method",
... |
14098445157 | import pandas as pd
from datetime import datetime
from sklearn.neighbors import KNeighborsRegressor
def transform_and_normalize_data(df, stores_df):
df = pd.merge(df, stores_df, on='Store')
X = df[['Store', 'Type', 'Size', 'Dept', 'Date', 'IsHoliday']].as_matrix()
max_size = 0
max_week = 0
for i i... | mickeycj/walmart-sales-predictor | walmart_knn_regressor.py | walmart_knn_regressor.py | py | 1,708 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "pandas.merge",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.strptime",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "pandas.read_... |
14610535073 | import matplotlib
from matplotlib import pyplot as plt
from tqdm import tqdm
import network
import utils
from torchvision import transforms as T
import torch.nn as nn
from PIL import Image
from glob import glob
import colorsys
import os
import time
import numpy as np
import torch
from PIL import Ima... | updateforever/JointNet | setting/pred_setting/joint_v1.py | joint_v1.py | py | 10,955 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "numpy.array",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "numpy.shape",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "torch.no_grad",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "utils.utils_bbox.decode_bbox",
... |
27844318257 | import contextlib
import functools
import logging
import os
import shutil
import signal
import socket
import sys
import tempfile
import time
from subprocess import CalledProcessError
from subprocess import PIPE
from subprocess import Popen
from unittest import mock
from testifycompat import assert_not_equal
from testi... | Yelp/Tron | tests/sandbox.py | sandbox.py | py | 8,064 | python | en | code | 340 | github-code | 7 | [
{
"api_name": "os.path.split",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "os.path.split",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number":... |
24834627837 | from __future__ import print_function
from pymongo import MongoClient
db = MongoClient('localhost').condor
reserved_ips = {
'18.12': 'MIT',
'23.22': 'AWS',
'35.9': 'AGLT2',
'40.78': 'Azure',
'40.112': 'Azure',
'50.16': 'AWS',
'50.17': 'AWS',
'54.144': 'AWS',
'54.145': 'AWS',
'... | dsschult/scripts | mongo_fix_condor_sites2.py | mongo_fix_condor_sites2.py | py | 9,572 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "pymongo.MongoClient",
"line_number": 5,
"usage_type": "call"
}
] |
4253069367 |
# coding: utf-8
# ## For Colab
# In[ ]:
from IPython.display import HTML, display
def set_css():
display(HTML('''
<style>
pre {
white-space: pre-wrap;
}
</style>
'''))
get_ipython().events.register('pre_run_cell', set_css)
# In[ ]:
from google.colab import drive
drive.mount('/content/d... | cooljeremy/IMHAM | IMHAM.py | IMHAM.py | py | 32,847 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "IPython.display.display",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "IPython.display.HTML",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "google.colab.drive.mount",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": ... |
18452277500 | from flask import Flask, request, render_template, redirect, url_for
import json
import time
import random
import string
# Flask constructor
app = Flask(__name__, template_folder="Templates")
# A decorator used to tell the application
# which URL is associated function
result = {}
starttime = 0
@app.route('/')
def... | shreyasl10/Blockchain-based-MCS-system | Client/app.py | app.py | py | 1,131 | python | en | code | 5 | github-code | 7 | [
{
"api_name": "flask.Flask",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 24,
... |
70257989022 | # -*- coding: utf-8 -*-
import json
import os
import scrapy
from he_or_she.scraping.items import ArticleItem
class NYTimesSpider(scrapy.Spider):
name = 'nytimes'
allowed_domains = ['nytimes.com']
start_urls = ['http://nytimes.com/']
api_url = 'https://www.nytimes.com/svc/collections/v1/publish/'
... | zepp133/he-or-she | he_or_she/scraping/spiders/nytimes.py | nytimes.py | py | 1,599 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "scrapy.Spider",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"li... |
41271149378 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
import os
import shutil
import re
import numpy as np
import matplotlib.pyplot as plt
from tabulate import tabulate
from read_data import read_data_set
from fit_data import emg, fit_emg, get_mean_and_variance
DIR_NAME = "KD"
ACCEPTANCE_RE = re.compile("^\d{2}_\d{3}\d?$")... | KDilch/P2_LAB | extract_means_and_variances.py | extract_means_and_variances.py | py | 5,599 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "re.compile",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "os.path.isdir",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 21,
... |
37672087994 | # -*- coding: utf-8 -*-
from email.policy import default
import os, pickle
import argparse
from torch import nn
import numpy as np
import torch
import torchvision
import pytorch_lightning as pl
import warnings
from torchvision import models
warnings.filterwarnings("ignore")
from pytorch_lightning.callbacks.early_stop... | harry-tian/ai-driven-tutorial | models/MTL_slow.py | MTL_slow.py | py | 14,304 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "sys.path.insert",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "pytorch_lightni... |
26832690049 | from typing import List
from scipy.spatial import Voronoi
import torch
def get_centroid(pts):
n = pts.size(0)
return torch.sum(pts[:,0])/n , torch.sum(pts[:,1])/n
def get_waypoints(map : torch.Tensor, N : int, range : float):
free_idx = torch.argwhere(map==0)
waypoints = free_idx[torch.randint(free_i... | KyleM73/cocomas | cocomas/path_planning/waypoint_generation.py | waypoint_generation.py | py | 594 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "torch.sum",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "torch.Tensor",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "torch.argwhere",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "torch.randint",
"line_n... |
38823270753 |
import torch.nn as nn
import torch.nn.functional as F
class ResBlock(nn.Module):
"""残差模块"""
def __init__(self ,inChannals ,outChannals):
"""初始化残差模块"""
super(ResBlock ,self).__init__()
self.conv1 = nn.Conv2d(inChannals ,outChannals ,kernel_size=1 ,bias=False)
self.bn1 = nn.Batch... | Sunda233/GAN_FACE_CREATE | SRGAN.py | SRGAN.py | py | 5,161 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "torch.nn.Module",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "torch.nn.Conv2d",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_numb... |
21019522037 | import pygame
import aspose.words as aw
class Boardimg:
def __init__(self, img):
self.img = img
self.img_file = pygame.image.load(img)
self.x = 0
self.y = 0
self.img_size = self.img_file.get_size()
self.rect = pygame.Rect(self.x, self.y, self.img_size[0],... | sihen8/chess | boardimg.py | boardimg.py | py | 1,177 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "pygame.image.load",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pygame.image",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "pygame.Rect",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pygame.image.load",
... |
10838291589 | import xlrd
file_Location = "C:/Users/Dou/Desktop/公示公告成果/历史遗留矿山核查图斑数据2022-06-20 11_13.xls"
workbook = xlrd.open_workbook(file_Location)
sheet = workbook.sheet_by_name('Export')
curr_col = 5
goal_col = 6
k_col =10
col1 = sheet.col(curr_col)
col2 = sheet.col(goal_col)
col3 = sheet.col(k_col)
# 提取列数据
# for i in col1:
... | jalerdau/excel_data | main.py | main.py | py | 662 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "xlrd.open_workbook",
"line_number": 4,
"usage_type": "call"
}
] |
35466513899 | """UniFi Protect Bootstrap."""
from __future__ import annotations
import asyncio
from copy import deepcopy
from dataclasses import dataclass
from datetime import datetime
import logging
from typing import Any, Dict, List, Optional, Set, Tuple, cast
from uuid import UUID
from aiohttp.client_exceptions import ServerDis... | AngellusMortis/pyunifiprotect | pyunifiprotect/data/bootstrap.py | bootstrap.py | py | 20,549 | python | en | code | 86 | github-code | 7 | [
{
"api_name": "logging.getLogger",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "typing.Dict",
"line_number": 66,
"usage_type": "name"
},
{
"api_name": "pyunifiprotect.data.types.EventType",
"line_number": 66,
"usage_type": "name"
},
{
"api_name": "typ... |
73278246944 | # ============================ 1. Environment setup ============================
import os
import dgl
import time
import torch
import pickle
import numpy as np
import pandas as pd
import networkx as nx
import torch.nn as nn
from tqdm import tqdm
import torch.nn.functional as F
from dgl.data import DGLDataset
#torch.cud... | amanzadi/MS_Thesis | GNN_model2.py | GNN_model2.py | py | 4,759 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "time.time",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "pickle.load",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "torch.utils.data.sampler.SubsetRandom... |
35347438355 | # -*- coding: utf-8 -*-
from common.models.pay.PayOrder import PayOrder
from common.libs.Helper import getFormatDate
from common.libs.pay.PayService import PayService
import datetime
from application import app,db
'''
python manager.py runjob -m pay/index
'''
class JobTask():
def __init__(self):
pass
def run(self... | mooc-class/python-flask-minapp | 完整源码/jobs/tasks/pay/index.py | index.py | py | 752 | python | en | code | 20 | github-code | 7 | [
{
"api_name": "datetime.datetime.now",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "datetime.timedelta",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "commo... |
25908336015 | # (C) 2020-2021 Sakuragasaki46.
# See LICENSE for copying info.
'''
A simple wiki-like note webapp.
Pages are stored in SQLite/MySQL databases.
Markdown is used for text formatting.
Application is kept compact, with all its core in a single file.
'''
#### IMPORTS ####
from flask import (
Flask, Markup, abort, ... | sakuragasaki46/salvi | app.py | app.py | py | 46,901 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "os.path.dirname",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 37,
"usage_type": "attribute"
},
{
"api_name": "os.environ.get",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_nu... |
18051852165 | # make sure you're logged in with `huggingface-cli login`
import os
from pathlib import Path
from diffusers import StableDiffusionPipeline
token = os.environ.get("HUGGING_FACE_TOKEN")
output_dir = Path("./artefacts")
output_dir.mkdir(parents=True,exist_ok=True)
output_dir = output_dir.resolve().absolute()
pipe = Sta... | Newmi1988/diffuertest | src/diffusertest/main.py | main.py | py | 863 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "os.environ.get",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "pathlib.Path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "diffusers.StableDiffusionPip... |
41059890224 | from collections import defaultdict
from gtnlplib.clf_base import predict,make_feature_vector,argmax
def perceptron_update(x,y,weights,labels):
"""compute the perceptron update for a single instance
:param x: instance, a counter of base features and weights
:param y: label, a string
:param weights: a ... | Ananya10/NLP | Text Classification/gtnlplib/perceptron.py | perceptron.py | py | 2,775 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "gtnlplib.clf_base.predict",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "gtnlplib.clf_base.make_feature_vector",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "gtnlplib.clf_base.make_feature_vector",
"line_number": 17,
"usage_type": ... |
27770171099 | from __future__ import absolute_import
from __future__ import division
from __future__ import unicode_literals
import datetime
from googlecloudsdk.api_lib.storage import cloud_api
from googlecloudsdk.api_lib.storage import errors as api_errors
from googlecloudsdk.command_lib.storage import errors as command_errors
fr... | twistedpair/google-cloud-sdk | google-cloud-sdk/lib/googlecloudsdk/command_lib/storage/tasks/cp/copy_util.py | copy_util.py | py | 5,586 | python | en | code | 55 | github-code | 7 | [
{
"api_name": "googlecloudsdk.command_lib.storage.tasks.task.Task",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "googlecloudsdk.command_lib.storage.tasks.task",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "googlecloudsdk.core.log.status.Print",
... |
21006472760 | import os
import pickle
import re
import torch
import nni.retiarii.nn.pytorch as nn
from nni.retiarii.nn.pytorch import LayerChoice
from nni.retiarii.serializer import model_wrapper
from blocks import ShuffleNetBlock, ShuffleXceptionBlock
@model_wrapper
class ShuffleNetV2OneShot(nn.Module):
block_keys = [
... | microsoft/nni | examples/nas/legacy/oneshot/spos/network.py | network.py | py | 5,034 | python | en | code | 13,409 | github-code | 7 | [
{
"api_name": "nni.retiarii.nn.pytorch.Module",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "nni.retiarii.nn.pytorch",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "nni.retiarii.nn.pytorch.Sequential",
"line_number": 38,
"usage_type": "call"
... |
4295781186 | import io
import math
from pathlib import Path, PureWindowsPath
from struct import unpack
class PDB:
def __init__(self, path):
with open(path,"rb") as fh:
pdb_data = fh.read()
self.fp = io.BytesIO(pdb_data)
self.magic = self.fp.read(32)
self.block_size = unpack("<I",self.fp.read(4))[0]
self.free_block_m... | MalwareSoup/pdb_func | pdb_func.py | pdb_func.py | py | 6,257 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "io.BytesIO",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "struct.unpack",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "struct.unpack",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "struct.unpack",
"line_numb... |
21901061938 | import json
import requests
if __name__ == '__main__':
post_url='https://fanyi.baidu.com/sug'
word=input('key:')
data={'kw':word}
headers = {
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/96.0.4664.45 Safari/537.36'
}
#确认响应数据是jso... | avilliai/webSpiderLearning | day1/baiduTrans.py | baiduTrans.py | py | 532 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "requests.post",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_number": 16,
"usage_type": "call"
}
] |
7392549532 | from gettext import translation
import random
from django.shortcuts import render, redirect
from django.db import connection
from django.contrib.auth.hashers import make_password
from django.http import HttpResponse, HttpResponseRedirect
from datetime import datetime, timedelta
from django.http import Http404, HttpResp... | CarolineFang1998/carBidder | carBidderApp/views.py | views.py | py | 59,497 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "dotenv.load_dotenv",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "django.db.connec... |
5101842316 | from typing import List
from arrow import Arrow
import arrow
from datetime import datetime
from sqlalchemy import create_engine
from sqlalchemy import select, update
from sqlalchemy.ext.automap import automap_base
import sqlalchemy
import numpy as np
from common.enums import TaskTypeEnum
from globalsurgespi... | evaseemefly/GlobalSurgeSys | background/spider/globalsurgespider/core/data.py | data.py | py | 14,403 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "typing.List",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "models.models.StationRealDataSpecific",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "core.db.DbFactory",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "a... |
36520889041 | import logging
import docker
class DockerSubmitter(object):
@staticmethod
def run_docker_container(image, command):
client = docker.from_env()
container = client.containers.run(image, command, detach=True)
# Streaming the logs
for line in container.logs(stream=True):
... | couler-proj/couler | couler/docker_submitter.py | docker_submitter.py | py | 350 | python | en | code | 855 | github-code | 7 | [
{
"api_name": "docker.from_env",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "logging.info",
"line_number": 13,
"usage_type": "call"
}
] |
39901793972 | # %%
import numpy as np
import os
import pandas as pd
from sklearn.feature_extraction.text import TfidfVectorizer, CountVectorizer
from sklearn.metrics.pairwise import cosine_similarity
K = 5
n = 3
minihash = False
proj_func_num = 10
work_dir = r'D:\Documents\course\junior\BigDataAna\12-20大作业'
dataset_dir = work_dir... | zerofishnoodles/HUST-CS | BigDataAnalysis/exp3/CB.py | CB.py | py | 4,631 | python | en | code | 2 | github-code | 7 | [
{
"api_name": "pandas.read_csv",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "sklearn.feature_extractio... |
39825024062 | import torch
import onmt
from onmt.Utils import use_gpu
SRC_TMP = ""
TRG_TMP = ""
def load_model(opt):
checkpoint = torch.load(opt.model, map_location=lambda storage, loc: storage)
fields = onmt.IO.load_fields(checkpoint['vocab'])
model_opt = checkpoint['opt']
model = onmt.ModelConstructor.make_base_... | zywallace/dual | utils/loader.py | loader.py | py | 764 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "torch.load",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "onmt.IO.load_fields",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "onmt.IO",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "onmt.ModelConstructor.make... |
28558376158 | from src import util
from src import eval
import numpy as np
import pyflux as pf
if __name__ == '__main__':
p = 4
q = 4
h_test = 6
ts, data = util.load_data("../data/NSW2013.csv", columnName="TOTALDEMAND")
# ts, data = util.load_data("../data/bike_hour.csv", columnName="cnt")
# ts, data = ut... | zhangxu0307/time_series_forecasting_pytorch | src/ARIMA.py | ARIMA.py | py | 1,840 | python | en | code | 326 | github-code | 7 | [
{
"api_name": "src.util.load_data",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "src.util",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "src.util.divideTrainTest",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "src.util",
"... |
14482972527 | from sympy import *
from IPython.display import display, Latex
import control.matlab as ml
def printer(var_name, var_value, unit):
return display(Latex("${name} = {var:.4f}\ {unit}$".format(var=var_value,name=var_name,unit=unit)))
# Approximation for Eckfreq for PT1 TF #
def find_eckfreq_PT1(mag,omega):
ind... | ayham291/python_modules | myfuncs.py | myfuncs.py | py | 1,965 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "IPython.display.display",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "IPython.display.Latex",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "control.matlab.mag2db",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "con... |
3772363677 | import csv
import os
import itertools
import ast
import pandas as pd
from sklearn.metrics.pairwise import pairwise_distances
import pickle
from sklearn import metrics
import numpy as np
# similarity based (noaudio)
# popular rec (pop)
# greatest artist (sagh)
# collocation artist (cagh) - similarity based... | mir-aidj/playlist-generation | playlist_generation.py | playlist_generation.py | py | 4,016 | python | en | code | 5 | github-code | 7 | [
{
"api_name": "csv.DictReader",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "ast.literal_eval",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "itertools.chain",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "pandas.concat",
"... |
6687019027 | import collections
import itertools
import logging
import random
import string
import threading
import time
from typing import (
Any,
Callable,
Dict,
List,
Mapping,
Optional,
Set,
Tuple,
Union,
)
import doorpi.actions
import doorpi.event
from . import log
LOGGER: doorpi.DoorPiLogg... | emphasize/DoorPi | doorpi/event/handler.py | handler.py | py | 10,200 | python | en | code | null | github-code | 7 | [
{
"api_name": "doorpi.actions.DoorPiLogger",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "doorpi.actions",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "logging.getLogger",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "typ... |
4168135306 | """
homeassistant.components.sensor.forecast
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Forecast.io weather service.
For more details about this platform, please refer to the documentation at
https://home-assistant.io/components/sensor.forecast/
"""
import logging
from datetime import timedelta
from homeassistant.util ... | hcchu/home-assistant-clone | homeassistant/components/sensor/forecast.py | forecast.py | py | 7,597 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "logging.getLogger",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "datetime.timedelta",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "forecastio.load_forecast",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "homeass... |
15507779283 | #Deep Cross Entropy
#https://colab.research.google.com/github/Cheukting/rl_workshop/blob/master/exercises/rl_workshop_deep_crossentropy_method.ipynb
'''
Instead of using a table (like for cross entropy use a function)
Start with random uniform probability for policy
loop:
evaluate policy (using neural network... | Chief-Buka/Reinforcement-learning | CartPole - Solution.py | CartPole - Solution.py | py | 5,190 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "torch.nn.Module",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "torch.nn.Linear",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_nu... |
1578558385 | from copy import deepcopy
import torch
import torch.nn as nn
from torch.nn.parallel.distributed import _find_tensors
from ..builder import MODELS, build_module
from ..common import set_requires_grad
from .base_gan import BaseGAN
# _SUPPORT_METHODS_ = ['DCGAN', 'STYLEGANv2']
# @MODELS.register_module(_SUPPORT_METHO... | chris901003/DeepLearning | mmgeneration/mmgen/models/gans/static_unconditional_gan.py | static_unconditional_gan.py | py | 16,612 | python | en | code | 7 | github-code | 7 | [
{
"api_name": "base_gan.BaseGAN",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "copy.deepcopy",
"line_number": 61,
"usage_type": "call"
},
{
"api_name": "builder.build_module",
"line_number": 63,
"usage_type": "call"
},
{
"api_name": "builder.build_mod... |
8366052561 | import torch
import numpy as np
def reservoir(seen_examples, buffer_size):
if seen_examples < buffer_size:
return seen_examples
rand = np.random.randint(0, seen_examples + 1)
if rand < buffer_size:
return rand
else:
return -1
class Buffer:
def __init__(self, buffer_size,... | albertozurli/cl_timeseries | utils/buffer.py | buffer.py | py | 2,686 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "numpy.random.randint",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "numpy.random.choice",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "numpy.random... |
25864023586 | # to allow running from terminal without pyCharm :(
import sys
sys.path.append('../ope')
sys.path.append('../models/q_learning')
sys.path.append('../models/attention/nn')
sys.path.append('../models/ckconv/nn')
sys.path.append('../models')
import torch
import argparse
import pandas as pd
from q_learning im... | thomas097/Haemodynamic-Optimization-Reinforcement-Learning | experiments/train_dqn_baselines.py | train_dqn_baselines.py | py | 4,014 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "sys.path.append",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "sys.path.append",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_numbe... |
22743526808 | import game_of_life_interface
import numpy as np
import matplotlib.pyplot as plt
class GameOfLife(game_of_life_interface.GameOfLife): # This is the way you construct a class that heritage properties
def __init__ (self, size_of_board, board_start_mode, rules, rle, pattern_position) : # constructor
... | dinazul42/Computer-Science-Assignment-2 | exe2.py | exe2.py | py | 9,077 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "game_of_life_interface.GameOfLife",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "numpy.zeros",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.random.choice",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": ... |
2775880024 | from django.contrib import admin
from django.urls import path
from evotingapp import views
urlpatterns = [
path('admin/', admin.site.urls),
path('', views.uhome),
path('uhome/', views.uhome),
path('ureg/', views.ureg),
path('uvreg/',views.uvreg),
path('userv/',views.userv),
path('ucontact/',... | jitudixit/django-project-evoting | evoting/urls.py | urls.py | py | 1,010 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "django.urls.path",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "django.contrib.admin.site",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.admin",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "dja... |
43555018407 | """
Use a simple Discrete Variable Representation method to solve
one-dimensional potentials.
A good general introduction to DVR methods is
Light and Carrington, Adv. Chem. Phys. 114, 263 (2000)
"""
from matplotlib import pyplot as plt
import numpy as np
import scipy.sparse.linalg as sla
import scipy.special.orthogon... | binggu56/pyqed | pyqed/dvr/dvr_1d.py | dvr_1d.py | py | 23,112 | python | en | code | 10 | github-code | 7 | [
{
"api_name": "numpy.diag",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "numpy.dot",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "numpy.transpose",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "numpy.dot",
"line_number": 4... |
9463696295 | from appium import webdriver
"""
02：
使用Appium Desktop录制的脚本：
使用小米系统拨号，拨打10086
博客：https://blog.csdn.net/tt75281920/article/details/115646935?spm=1001.2014.3001.5501
"""
caps = {}
caps["platformName"] = "Android"
caps["deviceName"] = "d0a49989"
caps["appPackage"] = "com.android.contacts"
caps["appActivity"] = "com.andro... | tang75281920/appiumdemo | testcasedemo/demo_02.py | demo_02.py | py | 883 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "appium.webdriver.Remote",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "appium.webdriver",
"line_number": 17,
"usage_type": "name"
}
] |
74149948384 | from secrets import token_urlsafe
from fastapi import APIRouter, HTTPException, status
from fastapi.responses import RedirectResponse
from pydantic import AnyUrl
from db import DB
api_router = APIRouter()
@api_router.post("/link")
def new_link(long_link: AnyUrl):
db = DB.get_instance()
length = 50
while... | hvuhsg/LinkSH | src/api/main.py | main.py | py | 884 | python | en | code | 2 | github-code | 7 | [
{
"api_name": "fastapi.APIRouter",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pydantic.AnyUrl",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "db.DB.get_instance",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "db.DB",
"line... |
36972489029 | """
-------------------------------------------------------------------------------
Created on April,27, 2020
author: Suksmono@{STEI-ITB, MDR Inc.}
Find a Hadamard matrix using QA Computer/DWave
\-------------------------------------------------------------------------------
"""
# from sympy import *
# #from pr... | suksmono/SciRep-2021 | EXTENDED_TURYN/py_src_neal/ck_solve_neal_complete_XY.py | ck_solve_neal_complete_XY.py | py | 7,551 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "pandas.DataFrame",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_... |
15529686496 | import torch
import torch.nn as nn
from torch.utils.data import Dataset, DataLoader
from torchvision import transforms
import numpy as np
from pathlib import Path
from IPython.core.pylabtools import figsize
import matplotlib.pyplot as plt
from net import GlobalCoarseNet, LocalFineNet
from loss import ScaleInvariantLo... | Z7Gao/CS172-Computer-Vision | hw4/train.py | train.py | py | 6,247 | python | en | code | 3 | github-code | 7 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "torch.device",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "util.load_train",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
... |
70035906144 | # ---------------------------------------------------------------
# transformer_croattn_relcaption_head.py
# Set-up time: 2021/3/11 10:39
# Copyright (c) 2020 ICT
# Licensed under The MIT License [see LICENSE for details]
# Written by Kenneth-Wong (Wenbin-Wang) @ VIPL.ICT
# Contact: wenbin.wang@vipl.ict.ac.cn [OR... | Kenneth-Wong/MMSceneGraph | mmdet/models/relational_caption_heads/transformer_croattn_relcaption_head.py | transformer_croattn_relcaption_head.py | py | 22,138 | python | en | code | 54 | github-code | 7 | [
{
"api_name": "relational_caption_head.RelationalCaptionHead",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "torch.nn.Linear",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number": 42,
"usage_type": "name"
},
{
"api_name":... |
2554705525 | from __future__ import annotations
import logging
from pathlib import Path
import pandas as pd
from ...core.mixins import GeoDBMixin
from ...core.structure import Navaid, Route
_log = logging.getLogger(__name__)
class Airways(GeoDBMixin):
"""
An ATS route is a specified route designed for channelling the ... | xoolive/traffic | src/traffic/data/basic/airways.py | airways.py | py | 5,981 | python | en | code | 325 | github-code | 7 | [
{
"api_name": "logging.getLogger",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "core.mixins.GeoDBMixin",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "pathlib.Path",
"line_number": 74,
"usage_type": "name"
},
{
"api_name": "pandas.DataFram... |
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