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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
40776088199 |
import cv2
import numpy as np
import os
def mouse_crop(event, x, y, flags, param):
# grab references to the global variables
global refPoint, image, cropping
# if the left mouse button was DOWN, start RECORDING
# (x, y) coordinates and indicate that cropping is being
# Mouse is Moving
i... | hcw-00/click_and_crop | click_and_crop.py | click_and_crop.py | py | 2,800 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "cv2.EVENT_MOUSEMOVE",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "cv2.rectangle",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "cv2.EVENT_LBUTTONUP",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "os.li... |
22901595205 | import sys
from collections import deque
N, L = map(int, sys.stdin.readline().strip().split())
lst = list(map(int, sys.stdin.readline().strip().split()))
deq = deque()
for n in range(0, N):
while deq and deq[-1][0] > lst[n]:
deq.pop()
while deq and deq[0][1] < n - L + 1:
deq.popleft()
deq.ap... | justinkmoon1/Baekjoon1 | 11003 최솟값 찾기.py | 11003 최솟값 찾기.py | py | 370 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "sys.stdin.readline",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "sys.stdin",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "sys.stdin.readline",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "sys.stdin",
"li... |
21150666034 | from django.shortcuts import render
# Create your views here.
from rest_framework import permissions, status
from rest_framework.views import APIView
from rest_framework.response import Response
from django.contrib.auth.models import User
from .models import PurchasedStock
from .serializers import PurchasedStockSerial... | Cesartwothousands/RU-MARKET-MOGUL | Back-end/property/views.py | views.py | py | 4,336 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "rest_framework.views.APIView",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "rest_framework.permissions.IsAuthenticated",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.permissions",
"line_number": 14,
"usage_type"... |
72146504360 | #! python3
# TweetStreamer - streams and collects live tweet data for a certain keyword and stores the data in an SQLite database.
import tweepy
import re
import textblob
import sqlite3
import os
class TweetListener(tweepy.StreamListener):
"""Initialises Twitter Stream API object that will obtain live tweets and... | jmehitch/TweetStreamer | TweetStreamer.py | TweetStreamer.py | py | 6,667 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "tweepy.StreamListener",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "re.sub",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "textblob.TextBlob",
"line_number": 78,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
... |
5329821011 | from __future__ import print_function
from googleapiclient.discovery import build
from google_auth_oauthlib.flow import InstalledAppFlow
from google.auth.transport.requests import Request
from google.oauth2.credentials import Credentials
from googleapiclient.http import MediaIoBaseUpload
import googleapiclient.errors
f... | Dolinin2021/course_project_pb | classes/google_drive.py | google_drive.py | py | 8,967 | python | ru | code | 0 | github-code | 18 | [
{
"api_name": "os.path.path.exists",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "os.path.path",
"line_number": 44,
"usage_type": "attribute"
},
{
"api_name": "os.path",
"line_number": 44,
"usage_type": "name"
},
{
"api_name": "google.oauth2.credentia... |
30672367669 | #####differernce betwwen poterstemmer and Lemmatizer
import re, collections, os
import nltk
from nltk.stem import PorterStemmer
########get the location of current file
__location__=os.path.realpath(
os.path.join(os.getcwd(),os.path.dirname(__file__))
)
print(__location__)
##########original
file_name=os.pa... | lcconly/Pra_Text_Analytics | pra1/pra1_stem.py | pra1_stem.py | py | 918 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.path.realpath",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": ... |
11508073208 | # coding: utf-8
import time
from flask import Module, request, session, g, redirect, url_for, \
abort, render_template, flash, jsonify
from flask_sqlalchemy import Pagination
from feather import config
from feather.extensions import db, cache
from feather.helpers import mentions, mentionfilter
from feather.databases ... | yetone/Feather | feather/views/love.py | love.py | py | 2,576 | python | en | code | 53 | github-code | 18 | [
{
"api_name": "flask.Module",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "flask.session.get",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "flask.session",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "flask.redirect",
"li... |
71874777961 | from django.shortcuts import render
from rest_framework import generics, status, serializers
from .serializers import RegisterSerializers
from rest_framework.response import Response
from rest_framework.permissions import AllowAny, IsAuthenticated
from django.contrib.auth.models import User
from rest_framework.views im... | DUC-LV/zingmp3_projects | src/accounts/views.py | views.py | py | 1,350 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "rest_framework.generics.GenericAPIView",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.generics",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "serializers.RegisterSerializers",
"line_number": 13,
"usage_type": "n... |
8276438942 | """
Compares Ultimate Tic Tac Toe game tree heuristics.
"""
import random
import time
import argparse
from engine.GameTree import GameTree
from UTTTState import UTTTState
from UTTTSpace import UTTTSpace
from heuristic import heuristic_A, heuristic_B
from mcts import mcts_player, mcts_reset
TRACE = False
DICTATE = Fa... | noahnu/ai-ultimate-tic-tac-toe | compare_heuristics.py | compare_heuristics.py | py | 5,902 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "random.randint",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "UTTTState.UTTTState",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "UTTTSpace.UTTTSpace",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "engine.GameTre... |
37515194953 | import time
import os
import json
import sys
import socket
print("Loading...");
with open("config.json", "r") as in_configFile:
config = json.load(in_configFile)
#Starting Up
print(config["StartingMsg"])
#Global Declarations
__GMPrivKey_API = os.environ['GroupMePrivKey']
__Port = int(os.environ['PO... | NOLA-Chronicle/GroupMe_HelloWorld | GroupMe_HelloWorld.py | GroupMe_HelloWorld.py | py | 1,123 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "json.load",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "socket.socket",
"line_n... |
23175038990 | import matplotlib.pyplot as plt
from datetime import date, timedelta
import telebot
from telebot import types
import os
from ast import literal_eval
import requests
from bs4 import BeautifulSoup
from flask import Flask, request
TOKEN = '1$$$$$$$$$$$$$$$$$$$$$$$$$$$'
bot = telebot.TeleBot(TOKEN)
server = ... | Veremeich/teleBot_weather_for_fishing | teleBot.py | teleBot.py | py | 10,150 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "telebot.TeleBot",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "flask.Flask",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "datetime.date.today",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "datetime.date",
"... |
16102020241 | import requests, os, subprocess
TOKEN = os.environ["token"]
HEADERS = {'Authorization': f'token {TOKEN}'}
# logging.basicConfig(filename='log.txt',
# filemode='a',
# format='%(asctime)s %(name)s %(levelname)s %(message)s',
# datefmt='%H:%M:%S',
# ... | junior9068/busca-senha | cerebro.py | cerebro.py | py | 1,428 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.environ",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "requests.get",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_num... |
12146609193 | import os
from datetime import timedelta
from typing import List
import fsspec
import pandas as pd
import xarray as xr
from numcodecs import Blosc
from pangeo_forge.pipelines.base import AbstractPipeline
from pangeo_forge.tasks.http import download
from pangeo_forge.utils import chunked_iterable
from prefect import Fl... | pangeo-forge/noaa-oisst-avhrr-feedstock | recipe/pipeline.py | pipeline.py | py | 5,580 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "pandas.date_range",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "numcodecs.Blosc",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "fsspec.get_filesystem_class",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "os.path... |
10018337851 | #/usr/bin/env python3
# coding: utf-8
# This file is part of SheddingWallpapers.
# SheddingWallpapers is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any... | ridgeontheway/SheddingWallpapers | AutoStart.py | AutoStart.py | py | 3,242 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "os.path.exists",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number... |
35812438499 | from flask import Flask, request, jsonify, make_response
from train_model import run_model
app = Flask(__name__)
@app.route("/recommendations", methods=["POST", "OPTIONS"])
def api_create_order():
if request.method == "OPTIONS": # CORS preflight
return _build_cors_prelight_response()
elif request.meth... | andrew-d-talley/web-dev-presentation | python/server.py | server.py | py | 914 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "flask.Flask",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "flask.request.method",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "flask.request.method... |
28958361445 | # -*- coding: utf-8 -*-
"""
Created on Thu Jul 16 10:40:29 2017
Artificial Intelligence Assignment
@author: Muhammad Dawood
N-Queen Problem
Given a chessBoard of N*N Calcualte the N Queen not attacking each other.
"""
import time
import matplotlib.pyplot as plt
import matplotlib.transfo... | engrodawood/Artificial-Intelligence | NQueen Problem Solution using Depth First Search(DFS)/AssignmentNQueenProbDFS.py | AssignmentNQueenProbDFS.py | py | 3,568 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.subplot",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "... |
16968337427 | # 载入需要的库
import pandas as pd
import numpy as np
import torch as th
from sklearn.model_selection import train_test_split
import random
import re
import torch.nn.functional as F
# 读取数据
files1 = pd.read_csv("/home/user/venture/homework3/laptop-train.txt",sep="\t",header=None)
files2 = pd.read_csv("/home/user/venture/ho... | VentureRice/AI-ML | 人工智能与机器学习-SentimentClassificaiton/CNN.py | CNN.py | py | 8,442 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pandas.read_csv",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "sklearn.model_selection.train_test_split",
"line_number": 30,
"usage_type": "call"
},
{
"api_name... |
22803407414 | from math import exp
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch import Tensor
def gaussian(window_size: int, sigma: float = 1.5) -> Tensor:
gauss = Tensor(
[exp(-(x - window_size // 2)**2 / float(2 * sigma**2)) for x in range(window_size)])
return gauss / gauss.sum()... | iolag/UPD_study | UPD_study/models/FAE/pytorch_ssim.py | pytorch_ssim.py | py | 3,022 | python | en | code | 18 | github-code | 18 | [
{
"api_name": "torch.Tensor",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "math.exp",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "torch.Tensor",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "torch.Tensor",
"line_number": 14... |
35621991883 | import fpylll
def reduce(matrix: list[list[int]]) -> list[list[int]]:
"""Performs a lattice reduction.
This function calls LLL to find a reduce basis of the input.
Args:
matrix: the integer lattice to reduce
Returns:
the reduce basis. Typically the first row of the result is one of the
shortest... | google/paranoid_crypto | paranoid_crypto/lib/lll.py | lll.py | py | 824 | python | en | code | 771 | github-code | 18 | [
{
"api_name": "fpylll.IntegerMatrix.from_matrix",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "fpylll.IntegerMatrix",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "fpylll.LLL.reduction",
"line_number": 22,
"usage_type": "call"
},
{
"a... |
70995936039 | # coding: utf-8
__license__ = "GNU General Public License v3 (GPLv3)"
import sys
from functools import partial
from os import path
from fastpip import VERNUM
from PyQt5.QtCore import *
from PyQt5.QtGui import *
from PyQt5.QtWidgets import *
sys.path.append(path.dirname(__file__)) # rpk.exe 入口点所需
from __info__ imp... | hrpzcf/AwesomePyKit | src/awespykit/runpykit.py | runpykit.py | py | 5,652 | python | en | code | 129 | github-code | 18 | [
{
"api_name": "sys.path.append",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_num... |
75052336039 | """
ERC20 token.
"""
from collections import defaultdict
from typing import Dict, Any, List
from aave_tokens_model.core.logging import Logged
from aave_tokens_model.core.utilities import (
AddressT, require, generate_address
)
from aave_tokens_model.core.utilities.restriction import NOT_ENOUGH_BALANCE
class ERC2... | DmitIv/aave-tokens-model | aave_tokens_model/core/tokens/erc20.py | erc20.py | py | 3,372 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "aave_tokens_model.core.logging.Logged",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "aave_tokens_model.core.utilities.generate_address",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "typing.Dict",
"line_number": 27,
"usage_type": "n... |
21269991675 | from django.urls import path, re_path
from app import views
urlpatterns = [
# Matches any html file - to be used for gentella
# Avoid using your .html in your resources.
# Or create a separate django app.
# re_path(r'^.*\.html', views.gentella_html, name='gentella'),
# The home page
path('', v... | mialmodovar/NLP-Stocks | app/urls.py | urls.py | py | 715 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.urls.path",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "app.views.index",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "app.views",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "django.urls.path",
... |
6833797321 | """Custom TorchServe model handler for SAM encoder model.
"""
from ts.torch_handler.base_handler import BaseHandler
import numpy as np
import base64
import torch
from PIL import Image
from io import BytesIO
from typing import Union
import os
from time import time
from segment_anything.utils.transforms import ResizeLong... | developmentseed/segment-anything-services | handler_decode.py | handler_decode.py | py | 10,686 | python | en | code | 69 | github-code | 18 | [
{
"api_name": "numpy.random.seed",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "ts.torch_handler.... |
36994480894 | import BaseHTTPServer
import urlparse
import socket
import thread
import wx
from service.settings import CRESTSettings
import logging
logger = logging.getLogger(__name__)
HTML = '''
<!DOCTYPE html>
<html>
<head>
<meta http-equiv="Content-type" content="text/html;charset=UTF-8">
<title>pyfa Local Server</tit... | blitzmann/pyfa-chinese | service/server.py | server.py | py | 3,510 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "logging.getLogger",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "BaseHTTPServer.BaseHTTPRequestHandler",
"line_number": 60,
"usage_type": "attribute"
},
{
"api_name": "urlparse.urlparse",
"line_number": 64,
"usage_type": "call"
},
{
"ap... |
73986660839 | from tkinter import *
from tkinter.ttk import *
from tkinter import filedialog
from PIL import Image, ImageTk
from main import *
# style = Style()
# style.configure("BW.Tlabel", foreground=)
root = Tk()
root.configure(background="#B0BA84")
root.title('Polar bear')
# root.geometry("550x300+500+350")
root.geometry("300... | YarMolenko13/techstroy-polar-bear | ui.py | ui.py | py | 1,386 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "tkinter.filedialog.askopenfilename",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "tkinter.filedialog",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "PIL.Image.open",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "... |
73656787559 | # This program generating cvs file for monthly time-workers
# Author TDK21
# ver 1.0
from pathlib import Path
from datetime import datetime
import pandas as pd
import calendar
def getFileName():
date = datetime.date(datetime.now())
split_date = str(date).split(sep="-")
month = split_date[1]
year = sp... | TDK21/CHK_generator | CHK_Generator.py | CHK_Generator.py | py | 2,658 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "datetime.datetime.date",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "datetime.datetime.now",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pathli... |
70303912041 | # coding=utf-8
import datetime
import logging
import os
import traceback
from bs4 import BeautifulSoup
from selenium import webdriver
from selenium.webdriver.chrome.options import Options
# 日志
from qichacha1.enterpriseEntity import Enterprise
def get_logger(name):
log = logging.getLogger(name)
log.setLevel(... | huanghuizhou/pyTest | crawler/qichacha1/qichacha.py | qichacha.py | py | 4,058 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "logging.getLogger",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "logging.StreamHandler",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "logging.DE... |
17285028366 | import pandas
import sqlite3
import helpers
# The goal of this program is to create an HTML page with a
# table of CPD allegations:
# 1. Get data from the database:
file_path = helpers.get_file_path('cpd.db', subdirectory='data_sources')
conn = sqlite3.connect(file_path)
df = pandas.read_sql_query('''
SELECT... | eecs110/winter2019 | course-files/lectures/lecture_17/01_make_a_table_sqlite.py | 01_make_a_table_sqlite.py | py | 1,555 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "helpers.get_file_path",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "sqlite3.connect",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pandas.read_sql_query",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pandas.set... |
11001686012 | from kafka import KafkaProducer
import csv
from time import sleep
import json
import concurrent.futures
from concurrent.futures import ThreadPoolExecutor
# Kafka broker address
bootstrap_servers = '10.18.17.153:9092'
# Kafka topics to send the data
topic_LF = "Heelstrike_LF"
topic_LH = "Heelstrike_LH"
topic_LS = "Hee... | AyemonBaraka/Heelstrike | kafka_heelstrike_prod.py | kafka_heelstrike_prod.py | py | 2,643 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "kafka.KafkaProducer",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "csv.reader",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_numb... |
1633669720 | from logging import raiseExceptions
import numpy as np
from gym.utils import seeding
import gym
from gym import spaces
import pandas as pd
import argparse
parser = argparse.ArgumentParser()
# notice that although the title contains OE, the state does not contain any information about order
# but traditional OHLCV like... | chunpengcoredelia/TradeMaster | env/OE/order_execution_for_PD.py | order_execution_for_PD.py | py | 8,764 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "gym.Env",
"line_number": 46,
"usage_type": "attribute"
},
{
"api_name": "pandas.read_csv",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "gym.spaces.Box",
... |
35759822008 | import os
import fnmatch
import yaml
from log import log
def get_node_info(node_dir, node_name):
"""
Recurses down the directory trying to find filename wildcards that
match the given filename. Returns the node info for the closest
match.
If there are two wildcards that match, the one that is more... | gosquadron/squadron | squadron/nodes.py | nodes.py | py | 1,921 | python | en | code | 51 | github-code | 18 | [
{
"api_name": "log.log.debug",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "log.log",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "os.path.basename",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 3... |
26473118869 | from tkinter import *
from tkinter import messagebox
from tkinter import simpledialog
from tkinter import filedialog
from PIL import Image, ImageTk
from test import oneImg
from test import openCma
import cv2
import os
Flag = True #控制摄像头的变量
capture = cv2.VideoCapture(0)#摄像头对象作为全局变量会更快些
def ui_process():
root =Tk()... | ohMyJason/MTCNN_faceDetection | faceGui.py | faceGui.py | py | 4,020 | python | en | code | 8 | github-code | 18 | [
{
"api_name": "cv2.VideoCapture",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "PIL.Image.open",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "PIL.ImageTk.PhotoImage",
... |
27878270053 | # 展示playwright工具的使用
from playwright.sync_api import sync_playwright
def run():
with sync_playwright() as p:
browser = p.chromium.launch()
page = browser.new_page()
page.goto('https://langchain.com/')
title = page.title()
print('title=', title)
browser.close()
if _... | PengleiYu/CourseLangchain | 13_代理下/chapter13_1playwright.py | chapter13_1playwright.py | py | 367 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "playwright.sync_api.sync_playwright",
"line_number": 6,
"usage_type": "call"
}
] |
35338374252 | """
Script to anonymize the classifications
The user names can be deleted and only user ids
are kept.
"""
import pandas as pd
import xarray as xr
raw_data_filename_input = '../zooniverse_raw/sugar-flower-fish-or-gravel-classifications.csv'
raw_data_filename_output = '../zooniverse_raw/sugar-flower-fish-or-gravel-cla... | leifdenby/EUREC4A_manualclassifications | scripts/anonymize_data.py | anonymize_data.py | py | 856 | python | en | code | null | github-code | 18 | [
{
"api_name": "pandas.read_csv",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "xarray.open_dataset",
"line_number": 25,
"usage_type": "call"
}
] |
70499624680 | '''
Created on Aug 5, 2020
@author: Jeff
'''
import PyQt5
from PyQt5 import QtCore, QtGui, QtWidgets
import datetime
import pyperclip
#Fixes scaling issues on high res monitors
if hasattr(QtCore.Qt, 'AA_EnableHighDpiScaling'):
PyQt5.QtWidgets.QApplication.setAttribute(QtCore.Qt.AA_EnableHighDpiScaling, True)
if ... | jmf11493/MusicDownloader | music_dl/song_download_view.py | song_download_view.py | py | 17,603 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "PyQt5.QtCore.Qt",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "PyQt5.QtCore",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtWidgets.QApplication.setAttribute",
"line_number": 13,
"usage_type": "call"
},
{
"api_n... |
73948550759 | import matplotlib.pyplot as plt
import numpy as np
def plot_histogram(data, title, output_filename):
plt.rc('text', usetex=True)
plt.rc('font', family='serif')
fig, axis = plt.subplots()
X = data[:,0]
Y = data[:,1]
axis.set_xlabel(r'association count', fontsize=15)
axis.set_ylabel(r'number... | CHfCGS/pathfinder_slides | plots/histogram.py | histogram.py | py | 1,011 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "matplotlib.pyplot.rc",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.rc",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "matplotlib.p... |
43770644697 | import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from networks.deep_lab import DeepLabv3_plus
from collections import OrderedDict
from networks.tools import save_image
from networks import tools
# The Code of baseline network is referenced from https://github.com/icoz69/Ca... | ZRT1998JULY/FESA | networks/FEnetwork.py | FEnetwork.py | py | 7,576 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "torch.nn.Module",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "torch.nn.Sequential",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"lin... |
7565862068 | from airflow.hooks.postgres_hook import PostgresHook
from airflow.models import BaseOperator
from helpers import SqlQueries
class LoadFactOperator(BaseOperator):
ui_color = '#F98866'
load_fact_table_insert = """
INSERT INTO {} {}
"""
load_fact_table_truncate = """
TRUNCATE TABLE {}
"""
... | tikhonova/Data-Pipeline-with-Airflow | operators/load_fact.py | load_fact.py | py | 1,190 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "airflow.models.BaseOperator",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "airflow.hooks.postgres_hook.PostgresHook",
"line_number": 30,
"usage_type": "call"
}
] |
1032675132 | # -*- coding: utf-8 -*-
"""
Created on Mon Feb 6 16:11:33 2023
@author: SWannell
"""
import matplotlib.pyplot as plt; plt.style.use('ggplot')
import matplotlib.ticker as mtick
import pandas as pd
df = pd.read_csv('AmendedData\\appeal_by_hour.csv', parse_dates=['datehour'])
df.info()
appeal_types = {'Turkey-Syria':... | SWannell/initial-appeal-comparison | plot_data.py | plot_data.py | py | 2,620 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "matplotlib.pyplot.style.use",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.style",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 8,
"usage_type": "name"
},
{
"api_name"... |
71427278440 | import numpy as np
import pandas as pd
from fastai.vision import *
from fastai import *
import zipfile
import torch.nn as nn
import os
# print(os.listdir("../input/carvana-image-masking-challenge"))
def unzip_file(path_name):
with zipfile.ZipFile(path_name, 'r') as zip_ref:
zip_ref.extractall("/ka... | aorursy/new-nb-3 | iampaliwal_segment-with-fastai.py | iampaliwal_segment-with-fastai.py | py | 2,127 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "zipfile.ZipFile",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "subprocess.check_output",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 63,
"usage_type": "call"
}
] |
30636332336 | from http.client import HTTPResponse
from django.contrib import admin
from django.urls import path
from django.http import HttpResponseRedirect
from django.shortcuts import render
tasks = []
completed_tasks = []
def task_view(request):
return render(request, "tasks.html", {"tasks": tasks})
def add_task_view(re... | M2kishore/GDC-Level-4-Milestone | task_manager/urls.py | urls.py | py | 1,209 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "django.shortcuts.render",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "django.http.HttpResponseRedirect",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "django.http.HttpResponseRedirect",
"line_number": 23,
"usage_type": "call"
},
... |
4820356532 | """
1499. Max Value of Equation
You are given an array points containing the coordinates of points on a 2D plane, sorted by the x-values, where points[i] = [x_i, y_i] such that x_i < x_y for all 1 <= i < j <= points.length. You are also given an integer k
Return the maximum value of the equation y_i + y_j + |x_i - x_j... | tkwang0530/LeetCode | 1499.py | 1499.py | py | 3,400 | python | en | code | 4 | github-code | 18 | [
{
"api_name": "typing.List",
"line_number": 43,
"usage_type": "name"
},
{
"api_name": "heapq.heappop",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "heapq.heappush",
"line_number": 59,
"usage_type": "call"
},
{
"api_name": "typing.List",
"line_numb... |
27987031959 | ## Code for PGD attacker
import torch
import torch.nn.functional as F
class PGDAttacker(object):
def __init__(self, attack_eps):
self.attack_eps = attack_eps
def attack(self, x, y, net, attack_steps, attack_lr, random_init=True, target=None, clamp=(0, 1)):
"""
:param x: Inputs to per... | yogeshbalaji/Adversarial-training | attacks/pgd.py | pgd.py | py | 1,935 | python | en | code | 11 | github-code | 18 | [
{
"api_name": "torch.rand",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "torch.nn.functional.cross_entropy",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "torch.nn.functional",
"line_number": 37,
"usage_type": "name"
},
{
"api_name": "torc... |
39708811869 | from django.shortcuts import render, redirect, reverse
from django.urls import reverse_lazy
from django.views.generic import ListView, DetailView, FormView, DeleteView, UpdateView
from books.models import Book
from . import forms
# Create your views here.
class BooksView(ListView):
"""Show the Book lists"""
... | kariray/The-world-of-BM | books/views.py | views.py | py | 1,703 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.views.generic.ListView",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "books.models.Book",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "django.views.generic.DetailView",
"line_number": 19,
"usage_type": "name"
},
{
"ap... |
38856993859 | import pyaudio
import socket
import threading
import wave
import asyncio
import sys
import boto3
from queue import Queue
from datetime import date, datetime
from amazon_transcribe.client import TranscribeStreamingClient
from amazon_transcribe.handlers import TranscriptResultStreamHandler
from amazon_transcribe.model i... | polyu-17002407g/aiit-group5-2021 | pyaudio/server.py | server.py | py | 7,467 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "queue.Queue",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "boto3.client",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "boto3.client",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "boto3.resource",
"line_numb... |
26429672602 | import os
import boto3
dynamo_client = boto3.client(
'dynamodb',
endpoint_url='http://dynamodb:8000',
region_name=os.environ.get('AWS_DEFAULT_REGION', 'us-west-2'),
aws_access_key_id=os.environ.get('AWS_ACCESS_KEY_ID', ''),
aws_secret_access_key=os.environ.get('AWS_SECRET_ACCESS... | muratcanozdemir/bootcamp-docker-2020 | 02-TicTacToe/dbreader/app/aws_controller.py | aws_controller.py | py | 452 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "boto3.client",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "os.environ.get",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "os.environ.get",
"line_n... |
14314961778 | import torch.nn as nn
import torch
from transformers import CLIPModel
from torchvision import transforms
class VisionEncoder(nn.Module):
def __init__(self, pretrained_model: str = "flaviagiammarino/pubmed-clip-vit-base-patch32"):
super(VisionEncoder, self).__init__()
# Load the CLIP model and toke... | Aacashh/Open-Ended-VQA | vision_encoder.py | vision_encoder.py | py | 1,149 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "torch.nn.Module",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "transformers.CLIPModel.from_pretrained",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "tr... |
6290519614 | import os
import os.path as osp
import cv2
import numpy as np
import vispy
from transforms3d.axangles import axangle2mat
from transforms3d.quaternions import quat2mat
from vispy import app, gloo
# import torch
# import copy
import OpenGL.GL as gl
from lib.render_vispy.frustum import Camera3D
from lib.render_vispy.mod... | shanice-l/gdrnpp_bop2022 | lib/render_vispy/renderer.py | renderer.py | py | 19,530 | python | en | code | 145 | github-code | 18 | [
{
"api_name": "os.environ",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "os.path.abspath",
"line_n... |
20770724982 | #!/usr/bin/env python3
# coding: utf-8
from sys import argv, exit
from subprocess import Popen, PIPE
from os import path, listdir, sep, name
from datetime import date, datetime, time, timedelta
from PyQt5 import QtWidgets, QtGui, QtCore, QtSql
class MyWindows(QtWidgets.QMainWindow):
def __init__(self):
su... | vladimir-se/ZLauncher | ZLauncher.py | ZLauncher.py | py | 13,958 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "PyQt5.QtWidgets.QMainWindow",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "PyQt5.QtWidgets",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtWidgets.QLineEdit",
"line_number": 13,
"usage_type": "call"
},
{
"api_na... |
33052651661 | # -*- coding: utf-8 -*-
import numpy as np
import pickle
import os
import gc
from typing import Dict
curPath = os.path.abspath(os.path.dirname(__file__))
rootPath = os.path.split(curPath)[0] + "/Support/chapter02"
NBayesPath = rootPath + "/train_word_bag/NBayes.dat"
def writeBunch(path, bunch):
fileObj = open(pa... | CILIWFES/MyPythonStudy | ML/TextClassification/Nbayes.py | Nbayes.py | py | 8,498 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.path.abspath",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path.split",
"line_n... |
971547577 | import os
import argparse
import asyncio
import time
from datetime import timedelta
import logging, logging.handlers
_LOGGER = logging.getLogger(__name__)
import discord
EMOJI_ASTRAY = "\N{ANGRY FACE}"
EMOJI_ACTIVE = "\N{FACE WITH MONOCLE}"
EMOJI_FINISHED = "\N{SHRUG}\N{ZWJ}\N{FEMALE SIGN}\uFE0F"
EMOJI_IGNORED = "\N... | tifv/discord-queue-bot | queue_bot.py | queue_bot.py | py | 33,219 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "logging.getLogger",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "discord.Client",
"line_number": 78,
"usage_type": "attribute"
},
{
"api_name": "discord.Intents",
"line_number": 81,
"usage_type": "call"
},
{
"api_name": "asyncio.Lock",
... |
36889328794 | ##################
# Imports & Co #
##################
import random
import json
with open("cards_deck.json") as cards_deck:
cards_data = json.load(cards_deck)
# Check deck length (uncomment for test only)
# print("lenght of deck:" + str(len(cards_data)))
##################
# Game Setup #
###############... | Fred-FLQ/python-everdell | everdell.py | everdell.py | py | 9,909 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "json.load",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 173,
"usage_type": "call"
}
] |
71426791720 | import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
df_oof = pd.read_csv('../input/rnaoutputanalysis/holdouts.csv')
df_oof
df_oof['seq'] = df_oof.id_seqpos.apply(lambda v: v.split('_')[-2])
df_oof['i'] = df_oof.id_seqpos.apply(lambda v: int(v.split('_')[-1]))
df_oof = df_oof.sort_values('i')
df_o... | aorursy/new-nb-3 | gdonchyts_compare-reactivity-predictions.py | gdonchyts_compare-reactivity-predictions.py | py | 2,814 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pandas.read_csv",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "numpy.stack",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.subplots",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "matplotlib.pypl... |
23130847672 | from selenium import webdriver
from selenium.webdriver.chrome.service import Service
from selenium.webdriver.common.by import By
from selenium.webdriver.common.keys import Keys
import time
##########################################################
cookie_id = "cookie"
cursor_id = "buyCursor"
cursor_xpath = '//*[@i... | Bruce70345/Cookie | main.py | main.py | py | 4,660 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "selenium.webdriver.ChromeOptions",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 38,
"usage_type": "name"
},
{
"api_name": "selenium.webdriver.chrome.service.Service",
"line_number": 42,
"usage_type": "call"
... |
27337714461 | """
Core visualization operations based on Mayavi.
Actual implementation of _Renderer and _Projection classes.
"""
# Authors: Alexandre Gramfort <alexandre.gramfort@inria.fr>
# Denis Engemann <denis.engemann@gmail.com>
# Martin Luessi <mluessi@nmr.mgh.harvard.edu>
# Eric Larson <larson.eric... | soheilbr82/BluegrassWorkingMemory | Python_Engine/Lib/site-packages/mne/viz/backends/_pysurfer_mayavi.py | _pysurfer_mayavi.py | py | 18,946 | python | en | code | 5 | github-code | 18 | [
{
"api_name": "base_renderer._BaseRenderer",
"line_number": 56,
"usage_type": "name"
},
{
"api_name": "_utils._check_color",
"line_number": 70,
"usage_type": "call"
},
{
"api_name": "utils._import_mlab",
"line_number": 71,
"usage_type": "call"
},
{
"api_name": "tv... |
3596522204 | import matplotlib.pyplot as plt
from rightUp import move_right_slant
from moveRight import move_right
def polyline_detection(incision, incision_original, image):
x_len = len(incision)
y_len = len(incision[1])
incision_points = list() # for the final detection
y_position = 0 # on which column is th... | BerassHaggy/ZDO_krabu | devel/incisionPolyline.py | incisionPolyline.py | py | 3,293 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "moveRight.move_right",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "rightUp.move_right_slant",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "rightUp.move_right_slant",
"line_number": 54,
"usage_type": "call"
},
{
"api_name":... |
16299936984 | from __future__ import print_function
import os
import argparse
import datetime
import six
import math
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
import torchvision
from torchvision import datasets
from torchvision import transforms
from torch.autograd import Variabl... | ahundt/deep-learning-jhu-cs-482-682 | p02_fashion_mnist.py | p02_fashion_mnist.py | py | 14,876 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 66,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 66,
"usage_type": "attribute"
},
{
"api_name": "... |
11010073504 | import sys
input = lambda: sys.stdin.readline().rstrip()
from collections import deque
def resolve():
R, C = map(int, input().split())
sy, sx = map(int, input().split())
gy, gx = map(int, input().split())
c = [list(input().split()) for _ in range(R)]
dir = ((0, 1), (1, 0), (0, -1), (-1, 0))
d... | kanji-a/competitive_programming | atcoder/ABC003/c.py | c.py | py | 879 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "sys.stdin.readline",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "sys.stdin",
"line_number": 2,
"usage_type": "attribute"
},
{
"api_name": "collections.deque",
"line_number": 14,
"usage_type": "call"
}
] |
28439858488 | import sys, re
from PyQt5.QtWidgets import QApplication, QDialog, QMessageBox
from PyQt5 import uic
class Dialog(QDialog):
def __init__(self):
QDialog.__init__(self)
uic.loadUi("poll.ui", self)
self.name.textChanged.connect(self.validarNombre)
self.email.textChanged.connect(self.val... | Hector290601/EDA2 | primerProyecto/qt/basics/forms/validate/main.py | main.py | py | 1,803 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "PyQt5.QtWidgets.QDialog",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtWidgets.QDialog.__init__",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtWidgets.QDialog",
"line_number": 7,
"usage_type": "name"
},
{
"api... |
72096036839 | # -*- coding: utf-8 -*-
from typing import TYPE_CHECKING, Dict, Any, Set, Tuple
import abc
import importlib
from bag.layout.routing import TrackID
from abs_templates_ec.laygo.core import LaygoBase
from abs_templates_ec.digital.core import DigitalBase
if TYPE_CHECKING:
from bag.core import BagProject
from b... | xyabc/bag_digital_ec | digital_ec/layout/stdcells/core.py | core.py | py | 11,559 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "abs_templates_ec.digital.core.DigitalBase",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "abs_templates_ec.digital.core.DigitalBase.__init__",
"line_number": 40,
"u... |
71081316199 | from flask import g
from flask_resources import Resource, resource_requestctx, response_handler, route
from invenio_records_resources.resources.records.resource import (
request_data,
request_headers,
request_search_args,
request_view_args,
)
from .errors import ErrorHandlersMixin
#
# Resource
#
clas... | inveniosoftware/invenio-banners | invenio_banners/resources/resource.py | resource.py | py | 2,662 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "errors.ErrorHandlersMixin",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "flask_resources.Resource",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "flask_resources.route",
"line_number": 28,
"usage_type": "call"
},
{
"api_name... |
6225849327 | from bkbase.dataflow.batch.conf import batch_conf
from bkbase.dataflow.batch.utils import batch_logger, batch_utils
from pyspark.sql.types import StructField, StructType
def create_hdfs_src_df(source_node, pipeline):
schema = __get_input_schema(source_node)
batch_logger.info("Get schema for {}: {}".format(sou... | Tencent/bk-base | src/dataflow/unified-computing/python/bkbase/dataflow/batch/exec/source_dataframe_handler.py | source_dataframe_handler.py | py | 2,552 | python | en | code | 85 | github-code | 18 | [
{
"api_name": "bkbase.dataflow.batch.utils.batch_logger.info",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "bkbase.dataflow.batch.utils.batch_logger",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "bkbase.dataflow.batch.utils.batch_logger.info",
"line_nu... |
17821390230 | # generalized model fitting lab
#7/25
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.colors import LogNorm
import math
from scipy import interpolate
# #let’s test x from -3 to 3 and y from -2 to 2
# x=np.linspace(-3,3,40)
# y=np.linspace(-2,2,40)
#
#
# #look up the documentation for meshgrid ... | tsara-s/yspa | generalised_model_fitting_lab.py | generalised_model_fitting_lab.py | py | 2,710 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "math.e",
"line_number": 43,
"usage_type": "attribute"
},
{
"api_name": "numpy.linspace",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "scipy.interpolate.interp1d",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "scipy.interpola... |
5608451286 | import string, tweepy, json, re
from dotenv import dotenv_values
from sentiment import analyze_sentiment, translate_text
from nltk.tokenize import WordPunctTokenizer
config = dotenv_values(".env")
auth = tweepy.OAuthHandler(config["CONSUMER_KEY"], config["CONSUMER_KEY_SECRET"])
auth.set_access_token(config["ACCESS_TOK... | sjerrietukkel/FirstName_BunchOfNumbers | final.py | final.py | py | 5,170 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "dotenv.dotenv_values",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "tweepy.OAuthHandler",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "tweepy.API",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "json.load",
"lin... |
23918745976 | from django.shortcuts import render, redirect
from django.core.urlresolvers import reverse
from django.utils.translation import activate
from product.models import Category
from news.models import News
from django.http import HttpResponse
from general.models import ImageSlide
import re
def index(request):
slides =... | genxstylez/ylauto | ylauto/views.py | views.py | py | 1,272 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "general.models.ImageSlide.objects.filter",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "general.models.ImageSlide.objects",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "general.models.ImageSlide",
"line_number": 11,
"usage_typ... |
41245283453 | import logging
import os
import sys
from oslo.config import cfg
from tempest.common.utils.misc import singleton
LOG = logging.getLogger(__name__)
identity_group = cfg.OptGroup(name='identity',
title="Keystone Configuration Options")
IdentityGroup = [
cfg.StrOpt('catalog_type',
... | nastya-kuz/murano-tests | tempest/config.py | config.py | py | 17,781 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "logging.getLogger",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "oslo.config.cfg.OptGroup",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "oslo.config.cfg",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "oslo.config... |
33088334514 | from __future__ import absolute_import
import six
from datetime import datetime
from sentry.models import EventAttachment, File
from sentry.testutils import APITestCase
class EventAttachmentsTest(APITestCase):
def test_simple(self):
self.login_as(user=self.user)
project = self.create_project()... | fictional-tribble-2/getsentry--sentry | tests/sentry/api/endpoints/test_event_attachments.py | test_event_attachments.py | py | 1,981 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "sentry.testutils.APITestCase",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "datetime.datetime",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "sent... |
43712282550 | import torch
import torch.nn as nn
import torch.nn.functional as F
class DeviationLoss(nn.Module):
def __init__(self):
super().__init__()
def forward(self, y_pred, y_true):
confidence_margin = 2.
# confidence_margin = 0.5
# print(y_pred,y_true)
# size=5000 is the set... | zhenghejie/TFD-Net | util/build_criterion.py | build_criterion.py | py | 9,203 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "torch.nn.Module",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "torch.normal",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "torch.full",
"line_numbe... |
40921168144 | """
Name: Helper functions
Developer: Matt Clarke
Date: Jan 1, 2020
Description: Helper functions for accessing Pandas data.
"""
import numpy as np
from sklearn import feature_selection
def select(df, column_name, operator, where=[], exclude=False):
"""Select DataFrame rows based on a column value using a
ra... | flyandlure/pypreproc | pypreproc/helper.py | helper.py | py | 3,910 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "sklearn.feature_selection.VarianceThreshold",
"line_number": 97,
"usage_type": "call"
},
{
"api_name": "sklearn.feature_selection",
"line_number": 97,
"usage_type": "name"
},
{
"api_name": "numpy.number",
"line_number": 109,
"usage_type": "attribute"
},
... |
24112614200 | #!/usr/bin/python3
""" function that saves JSON to text file
"""
import json
def save_to_json_file(my_obj, filename):
""" input: JSON object
filename: the file to write
"""
with open(filename, 'w', encoding='utf-8') as f:
jsonStr = json.dumps(my_obj)
f.write(jsonStr)
| soft-insight/holbertonschool-higher_level_programming | 0x0B-python-input_output/5-save_to_json_file.py | 5-save_to_json_file.py | py | 308 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "json.dumps",
"line_number": 14,
"usage_type": "call"
}
] |
29674108579 | from django.contrib import admin
from .models import CustomerOrder, OrderItem
class OrderItemAdmin(admin.TabularInline):
model = OrderItem
readonly_fields = ('line_total',)
class OrderAdmin(admin.ModelAdmin):
inlines = (OrderItemAdmin,)
readonly_fields = ('order_number', 'date',
... | stellaexp/full-stack-frameworks-project | checkout/admin.py | admin.py | py | 949 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.contrib.admin.TabularInline",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.admin",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "models.OrderItem",
"line_number": 6,
"usage_type": "name"
},
{
"api_na... |
13077209482 | import PySimpleGUI as sg
from PySimpleGUI.PySimpleGUI import DEFAULT_BUTTON_COLOR
from src.ventanas import menu_inicio as inicio
from src.auxiliares import clases as cla
from src.auxiliares import funciones_generales as funcs
from src.auxiliares import registro_eventos as reg
def evento_partida(tiempo, filas, columna... | LoreOth/MemPy-game | src/ventanas/Pantalla_juego.py | Pantalla_juego.py | py | 9,029 | python | es | code | 1 | github-code | 18 | [
{
"api_name": "src.auxiliares.funciones_generales.get_info_usuario_actual",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "src.auxiliares.funciones_generales",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "src.auxiliares.funciones_generales.get_info_usuario... |
30762038822 | import os
import openpyxl
# 识别结果文件夹
RESULT_DIRS = 'C:/Users/a7825/Desktop/工作空间/跑代码/mac0001/out'
# 正解文件夹
CORRECT_DIRS = 'C:/Users/a7825/Desktop/工作空间/跑代码/mac0001/zhengjie'
# 特征值文件夹
EIGENVALUE_DIRS = 'C:/Users/a7825/Desktop/工作空间/跑代码/mac0001/tezheng'
# 特征值合并后的文件
MERGE_CSV = 'C:/Users/a7825/Desktop/工作空间/跑代码/mac... | shuyuqing/- | 各种文本/handel_info.py | handel_info.py | py | 4,028 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "os.listdir",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "openpyxl.load_workbook",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_nu... |
35290535459 | #!/usr/bin/env python
# Ref: https://simpletutorials.com/c/1457/Python+3+Logging+using+DictConfig
import logging
import logging.config
from module1.thing import Thing
logging.config.dictConfig({
'version': 1,
'formatters': {
'default': {'format': '%(asctime)s - %(name)s - %(levelname)s - %(message)s... | AlanCLo/python_logging_ref | 08_dictConfig_test.py | 08_dictConfig_test.py | py | 3,572 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "logging.config.dictConfig",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "logging.config",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
"line_number": 63,
"usage_type": "call"
},
{
"api_name": "loggi... |
19268443371 | from datetime import datetime
import feature_2
def main():
start = datetime.now()
feature_2.main()
end = datetime.now()
processing_time = (end-start).total_seconds() * 1000
print(f"Start time: {start}.")
print(f"End time: {end}.")
print(f"Processing time: {processing_time} milliseconds.")
... | nathania4c/practice-exercise | feature_1.py | feature_1.py | py | 360 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "datetime.datetime.now",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "feature_2.main",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "datetime.datetime... |
37120491186 | from sklearn.preprocessing import OneHotEncoder, LabelEncoder
import pandas as pd
from sklearn.externals import joblib
def extract_features(train_file, test_file, feat_train_file, feat_test_file):
df = pd.read_csv(train_file, header=None, names=['country','sku_id','title','category_lvl_1','category_lvl_2','catego... | nthanhtam/cikmcup2017 | src/generate_sp_feature_v1.py | generate_sp_feature_v1.py | py | 1,481 | python | en | code | 9 | github-code | 18 | [
{
"api_name": "pandas.read_csv",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pandas.concat",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing.Lab... |
7656316007 | #!/usr/bin/env python3
import distutils.spawn
import glob
import os
import subprocess
import sys
import utils
from typing import Callable, List, Tuple
DIR_CHAPTERS = os.path.join(os.getcwd(), 'Kapitel')
DOKU_REPO = '../wiki'
DOKU_DIR = os.path.join(DOKU_REPO, 'doku')
PROGRAMS = (
('pandoc', 'pandoc', 'pandoc')... | latexstudio/thesis-2 | prepare.py | prepare.py | py | 2,786 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.path.join",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "os.getcwd",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number":... |
24259087396 | from csv import reader
from os import walk
import pygame
map = {}
def import_csv_layout(path):
terrain_map = []
with open(path) as level_map:
layout = reader(level_map, delimiter = ',')
for row in layout:
terrain_map.append(list(row))
return terrain_map
def import_folder... | AndyOY647/Game_Prroject | support.py | support.py | py | 1,223 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "csv.reader",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.walk",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "pygame.image.load",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "pygame.image",
"line_number"... |
9402451595 | from __future__ import annotations
from typing import Optional, TYPE_CHECKING
from PyQt5.QtWidgets import QMainWindow
from src.machine.rfid import RFIDReader
from src.dialog_handler import UI_LANGUAGE
from src.display_controller import DP_CONTROLLER
from src.ui.setup_keyboard_widget import KeyboardWidget
from src.ui_e... | AndreWohnsland/CocktailBerry | src/ui/setup_rfid_writer_window.py | setup_rfid_writer_window.py | py | 2,184 | python | en | code | 51 | github-code | 18 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtWidgets.QMainWindow",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "src.ui_elements.rfidwriter.Ui_RFIDWriterWindow",
"line_number": 15,
"usage_type": "name"... |
13354997614 | import sys
from collections import defaultdict
def doParseLog():
feat_id_dict = defaultdict(lambda: 0)
for line in sys.stdin:
# recv = recv + 1
try:
splits = line.strip().split()
'''split_len = len(splits)
# common_feature_index|feat_num|feat_list
... | Jinjiarui/HEROES | Feature_pipeline/get_feature_cnts_mapper.py | get_feature_cnts_mapper.py | py | 1,468 | python | en | code | 3 | github-code | 18 | [
{
"api_name": "collections.defaultdict",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "sys.stdin",
"line_number": 7,
"usage_type": "attribute"
}
] |
24739771728 | import json
import os
import subprocess
from django.http import HttpResponse
from . import cv
from django.views.decorators.csrf import csrf_exempt
from django.core.files.storage import default_storage
from django.core.files.base import ContentFile
@csrf_exempt
def process_img(request): # post /api/process
if req... | BustosAndrew/PlasticDetector | api/views.py | views.py | py | 1,168 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.http.HttpResponse",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.getcwd",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.chdir",
"line_nu... |
40918322031 | from keras.models import Sequential
from keras.layers import Dense, Dropout, BatchNormalization, Flatten
from keras.applications import MobileNetV3Large
from tensorflow.keras.applications.mobilenet_v3 import preprocess_input
from NetUtils import NetUtils
class MobileNet(NetUtils):
def __init__(self, input_sha... | kamil271e/my-shrooms | MobileNet.py | MobileNet.py | py | 1,422 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "NetUtils.NetUtils",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "keras.applications.MobileNetV3Large",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "keras.models.Sequential",
"line_number": 14,
"usage_type": "call"
},
{
"api_... |
10050883988 |
import matplotlib.pyplot as plt
import numpy as np
class Environment():
# constructor function
def __init__(self, water, air):
self.water = water # water temperature
self.air = air # air temperature
self.dt = water - air #temperature difference between water and air
... | LucaChot/HydroponicsAI | Simulation_heat_map.py | Simulation_heat_map.py | py | 4,235 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "matplotlib.pyplot.subplots",
"line_number": 142,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 142,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.imshow",
"line_number": 145,
"usage_type": "call"
},
{
"api_name... |
75094360039 | import os
from io import StringIO
import numpy as np
from Bio.Blast import NCBIXML
from Bio.Blast.Applications import NcbiblastpCommandline
from config.config import DBConfig
from model_processor.data_processor import ModelProcessor
from search.search_processor import SearchProcessor
class SearchBlast(object):
d... | protdb/ABBNet | search/blast.py | blast.py | py | 3,628 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "config.config.DBConfig",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "model_processor.da... |
1126109765 | import argparse
import logging
import os
import numpy as np
import math, copy, time
import torch
from torch import nn
import torch.optim as optim
from torch.autograd import Variable
from torch.utils.data.sampler import RandomSampler
from tqdm import tqdm
from IPython import embed
from itertools import chain
import tor... | JL-tong/PDTrans | train.py | train.py | py | 12,941 | python | en | code | 5 | github-code | 18 | [
{
"api_name": "matplotlib.use",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentPar... |
71144924199 | import torch
import torch.nn as nn
import torchvision.models as models
import numpy as np
import torchvision.transforms as transforms
from PIL import Image
import time
import bioval.utils.gpu_manager as gpu_manager
import bioval.utils.distance as distance
import bioval.utils.aggregation as aggregation
from scipy.stats... | IhabBendidi/bioval | bioval/metrics/conditional_evaluation.py | conditional_evaluation.py | py | 46,799 | python | en | code | 18 | github-code | 18 | [
{
"api_name": "bioval.utils.distance.get_distance_functions",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "bioval.utils.distance",
"line_number": 56,
"usage_type": "name"
},
{
"api_name": "bioval.utils.distance.get_distributed_distance_functions",
"line_number": ... |
70202657641 | # 导入需要的库
import numpy as np
import torch
import torch.nn as nn
import seaborn as sns
import matplotlib.pyplot as plt
import pandas as pd
import warnings
from scipy.stats import norm, skew
# 导入封装好的模型算法
from sklearn.linear_model import LogisticRegression
from sklearn import tree
from sklearn.neighbors import KNeighborsC... | TheWangYang/kaggle_competitions_github | spaceship_titanic/pipeline_code.py | pipeline_code.py | py | 11,779 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "warnings.warn",
"line_number": 35,
"usage_type": "attribute"
},
{
"api_name": "pandas.set_option",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv"... |
19614288602 | import music21
import numpy as np
import matplotlib.pyplot as plt
import mido
import csv
import IPython.display as ipd
import midi2audio
import glob
from convertVector import convertVector
class xmlLoader(convertVector):
DIR = ""
def __init__(self, dir) :
print("Welcome to XMLoader")
self.DIR =... | Ayato964/MelodiesGenerator | convertXMLToVector.py | convertXMLToVector.py | py | 2,648 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "convertVector.convertVector",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "glob.glob",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "music21.converter.parse",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "music21... |
37439721724 | import uuid
import matplotlib as mpl
import pydot
from matplotlib import pyplot as plt
mpl.use('Agg')
def get_root(tree):
for s in tree.keys():
if s.parent is None:
return s
def s2node(s, tree):
if s in tree.keys():
# return pydot.Node(str(uuid.uuid4()),label='n='+str(tree[s].n... | mushi333/2021-FIT4003-SBSE-for-self-driving-cars | ast_toolbox/utils/tree_plot.py | tree_plot.py | py | 2,131 | python | en | code | 4 | github-code | 18 | [
{
"api_name": "matplotlib.use",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pydot.Node",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "uuid.uuid4",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "pydot.Edge",
"line_number": 3... |
2307143333 | import numpy as np
from gym import spaces
import tensorflow as tf
high = [np.finfo(np.float32).max, np.finfo(np.float32).max]
low = [0, 0]
high = np.array(high)
low = np.array(low)
observation_space = spaces.Box(low, high)
print(observation_space.shape[-1])
a = [[128, 10]]
print(np.array(a).reshape([-1, observation_sp... | h10666/DDPG-Simulator | Algorithm/Test.py | Test.py | py | 336 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "numpy.finfo",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "numpy.float32",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "numpy.array",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_numbe... |
11201614879 | """
Game server manager for Phagocytes
This is used to handle the creation on the fly of new server instance
to allow multiple games to be run at the same time
"""
import multiprocessing
import subprocess
import atexit
import os
import requests
import sys
from flask import Flask, request, jsonify
__author__ = "Be... | BenjaminSchubert/HEIG_2016_GEN_project | game_server/phagocyte_game_manager.py | phagocyte_game_manager.py | py | 5,061 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "flask.Flask",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "multiprocessing.cpu_count",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_number": 63,
"usage_type": "call"
},
{
"api_name": "multiprocessing.c... |
75311551400 | # to draw a bar graph
import matplotlib.pyplot as plt
x=[1,2,3,4,5,6]
y=[12,34,22,10,45,21]
tick_label=['one','two','three','four','five','six']
plt.bar(x,y,tick_label=tick_label,color=['green','blue'],width=.7)
plt.xlabel("x-axis")
plt.ylabel("y-axis")
plt.title('bar-graph')
plt.show() | goswamiprashant/Machine-Learning | matplotlib_4.py | matplotlib_4.py | py | 298 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "matplotlib.pyplot.bar",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.xlabel",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "matplot... |
38352747976 | github_storage = "https://raw.githubusercontent.com/FacultadInformatica-LinkedData/Curso2020-2021/master/Assignment4"
"""Leemos el fichero RDF de la forma que lo hemos venido haciendo"""
from rdflib import Graph, Namespace, Literal
from rdflib.namespace import RDF, RDFS
g = Graph()
g.namespace_manager.bind('ns', Name... | FacultadInformatica-LinkedData/Curso2022-2023-ODKG | Assignment4/henribfe-220872/task07.py | task07.py | py | 2,939 | python | en | code | 4 | github-code | 18 | [
{
"api_name": "rdflib.Graph",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "rdflib.Namespace",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "rdflib.Namespace",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "rdflib.Namespace",
"l... |
41873629895 | """
test Data Loaders
"""
import os
from collections import namedtuple
from AGCN.utils.data_loader import PointcloudLoader, SMILESLoader, ImageCIFARLoader, ImageFashionLoader
import time
class LoaderTester(object):
"""
abstract class for tester, include basic functions and members
"""
def __init__(sel... | uta-smile/Adaptive-Graph-Convolutional-Network | utils/data_loader/test.py | test.py | py | 6,205 | python | en | code | 20 | github-code | 18 | [
{
"api_name": "AGCN.utils.data_loader.PointcloudLoader",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "AGCN.utils.data_loader.PointcloudLoader",
"line_number": 32,
"usage_type": "argument"
},
{
"api_name": "AGCN.utils.data_loader.SMILESLoader",
"line_number": 48,
... |
9768896673 | # 自己的简单使用
from redisbloom.client import Client,Pipeline
import redis
from datetime import datetime,timedelta
import time
PRODUCT_WAIT = "product_wait" #产品监控采集等待队列，储存asin码，过滤reveiw，rank和上架日期
PRODUCT_FILTER = 'product_filter' #产品监控已采集过滤，redis zset，需要设置过期时间 1天
SELLER_WAIT = "seller_wait" #卖家id信息采集等待队列，
SELLER_FILTER = '... | iii706/examazon | bloomfilter.py | bloomfilter.py | py | 2,945 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "redis.ConnectionPool",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "redis.Redis",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "time.mktime",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
... |
7766358449 | from typing import Optional
from enum import Enum
from pydantic import BaseModel, Field
from fastapi import FastAPI
from fastapi import Body, Query, Path
app = FastAPI()
# Models
class HairColor(Enum):
white = "White"
black = "Black"
red = "Red"
class Person(BaseModel):
first_name: str = Field(
... | krojasalfaro7/fastapi-developments | hello-world/main.py | main.py | py | 1,815 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "fastapi.FastAPI",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "enum.Enum",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "pydantic.BaseModel",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "pydantic.Field",
"lin... |
32003912195 | import logging
import os
import os.path as osp
import time
import numpy as np
import torch
from detectron2.checkpoint import PeriodicCheckpointer
from detectron2.data import MetadataCatalog
from detectron2.data.common import AspectRatioGroupedDataset
from detectron2.utils.events import EventStorage
from loguru import ... | KhiemPhi/Pose-Trans | explore_models.py | explore_models.py | py | 21,974 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "logging.getLogger",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "core.utils.my_comm.get_world_size",
"line_number": 72,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 73,
"usage_type": "call"
},
{
"api_name": ... |
6122327364 | # This Python file uses the following encoding: utf-8
from PySide6 import QtWidgets, QtCharts, QtGui, QtCore
class GraphsWidget(QtWidgets.QWidget):
def __init__(self, rows, columns):
super(GraphsWidget, self).__init__()
self.graphGrid = QtWidgets.QGridLayout()
self.charts = {}
... | StRom42/PhysicsVerticalJump | GraphsWidget.py | GraphsWidget.py | py | 1,709 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "PySide6.QtWidgets.QWidget",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "PySide6.QtWidgets",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "PySide6.QtWidgets.QGridLayout",
"line_number": 9,
"usage_type": "call"
},
{
"api_n... |
5683685303 | # 按照平均IoU排序
import numpy as np
import os
import time
import pytz
def readIOU(path):
mIoU={}
i=0
for folder in os.listdir(path):
f = open(path+'/'+folder+'/index.txt')
modelName = ((f.readline()).split(':')[1]).split('\n')[0]
submitter = ((f.readline()).split(':')[1]).split(... | Vaczzy/ATeamName-GeoxSegCompetiton | support/sortmIOU.py | sortmIOU.py | py | 1,430 | python | en | code | 4 | github-code | 18 | [
{
"api_name": "os.listdir",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "pytz.timezone",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "pytz.datetime.datetime.fromtimestam... |
24772519620 | from ...core.qt import QtCore, QtGui, QtPrintSupport, QtWidgets
from camelot.admin.action import ( ActionStep,
DocumentActionGuiContext )
from camelot.admin.action.document_action import EditDocument
from camelot.core.templates import environment
from camelot.view.action_steps.open_f... | Platanen/camelot | camelot/view/action_steps/print_preview.py | print_preview.py | py | 9,598 | python | en | code | null | github-code | 18 | [
{
"api_name": "core.qt.QtPrintSupport.QPrintPreviewDialog",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "core.qt.QtPrintSupport",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "core.qt.QtWidgets.QToolBar",
"line_number": 26,
"usage_type": "att... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.