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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
72052621172 | from flask import Blueprint, render_template, redirect, url_for
from flask_login import login_required, current_user
from sqlalchemy import desc
from .models import Note
views = Blueprint("views", __name__)
@views.route("/")
@login_required
def home() :
note = Note.query.filter_by(user_id=current_user.id).order_... | jun3d4y/Self-Hosted-Notes-Web-App | website/views.py | views.py | py | 1,170 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "flask.Blueprint",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "models.Note.query.filter_by",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "models.Note.query",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "mod... |
21344674268 | # STUDENT DETAILS
# NAME: Augustus Samuel Tettey
# ID: 10948149
import PySimpleGUI as psg
import pyttsx3
Speech_Engine = pyttsx3.init()
Speech_Voice = Speech_Engine.getProperty('voices')
layout = [ [psg.Text('Enter Message:',text_color='black',background_color='white',)],
[psg.Inp... | SamAug09/SCHOOL-PROJECTS | Text_To_Speech.py | Text_To_Speech.py | py | 1,146 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pyttsx3.init",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "PySimpleGUI.Text",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "PySimpleGUI.InputText",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "PySimpleGUI.Button... |
42118193802 | import requests
from bs4 import BeautifulSoup
import csv
from helper_alvin import Helper2
class CitySOLScrapper:
SUCCESS = 200
base_url = "https://www.zillow.com/<city>-<state>/home-values/"
base_url_2 = "https://www.zillow.com/<state>/home-values/"
kiplinger_url = "https://www.kiplinger.com/tool/real-estate/T010-... | royli1013/15388_project | src/city_sol_scraper.py | city_sol_scraper.py | py | 2,167 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "requests.get",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "csv.writer",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "helper_alvin.Helper2",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "csv.reader",
"line_n... |
31857379961 | from bitarray import bitarray
from numpy.random import Generator, MT19937
import sys
def cyclic_redundancy_check(filename: str, divisor: str, len_crc: int) -> int:
"""
This function computes the CRC of a plain-text file
arguments:
filename: the file containing the plain-text
divisor: the generato... | ivanbamz/CRC_analisis | laboratorio_4.py | laboratorio_4.py | py | 4,568 | python | es | code | 0 | github-code | 21 | [
{
"api_name": "bitarray.bitarray",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "bitarray.bitarray",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "bitarray.bitarray",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "bitarray.bitarr... |
5887517228 | import os
import pandas as pd
import constants
from utils import create_dir, snake_case
from tqdm import tqdm
import shutil
create_dir(constants.RAW_DATA_PATH, remove_if_exists=True)
if constants.PYTORCH_STRUCTURE:
classes = [snake_case(doggo_class) for doggo_class in list(set(constants.DOGGO_CLASSES.keys()))]
... | arthurgtllr/doggos-classifier | data_loader.py | data_loader.py | py | 4,170 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "utils.create_dir",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "constants.RAW_DATA_PATH",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "constants.PYTORCH_STRUCTURE",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_... |
31920831598 | import os
import logging
from terrasnek.api import TFC
logging.basicConfig(format='%(asctime)s - %(message)s',level=logging.INFO)
OLD_TFC_URL = os.environ["OLD_TFC_URL"]
OLD_TFC_TOKEN = os.environ["OLD_TFC_TOKEN"]
OLD_TFC_ORG = os.environ["OLD_TFC_ORG"]
NEW_TFC_URL = os.environ["NEW_TFC_URL"]
NEW_TFC_TOKEN = os.envi... | wallacepf/tfc-vcs-migration | main.py | main.py | py | 1,952 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "logging.basicConfig",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"... |
26428677335 | # 220812 14940 쉬운 최단거리
# n <= 1000, 출발점찾고 bfs로 전체탐색
import sys
from collections import deque
input = sys.stdin.readline
def bfs(r,c):
global board,n,m
moves = [[0,1],[0,-1],[1,0],[-1,0]]
result = [[float('inf')]*(m) for _ in range(n)]
for row in range(n):
for col in range(m):
if bo... | seho27060/aug-algo-study | 0812/14940_seho.py | 14940_seho.py | py | 1,231 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "sys.stdin",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "collections.deque",
"line_number": 16,
"usage_type": "call"
}
] |
45017123581 | import json
from django.http import JsonResponse, HttpResponse
from rest_framework.generics import ListCreateAPIView, RetrieveUpdateDestroyAPIView
from rest_framework.parsers import JSONParser
from .models import Good
from .serializers import GoodSerializer
from users.views import TokenHandler
tokenHandler = TokenHand... | BenAAndrew/django-app | api/goods/views.py | views.py | py | 2,570 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "users.views.TokenHandler",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "rest_framework.generics.ListCreateAPIView",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "serializers.GoodSerializer",
"line_number": 12,
"usage_type": "name"
... |
6226150571 | from sklearn.linear_model import LogisticRegression
from sklearn.ensemble import RandomForestClassifier
from sklearn.model_selection import train_test_split
from sklearn.model_selection import KFold
from sklearn.pipeline import Pipeline
from data_generator import data_generator
from sklearn.metrics import confusion_mat... | damiano/pan2020-rmit | main.py | main.py | py | 4,569 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "sklearn.pipeline.make_pipeline",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing.StandardScaler",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "sklearn.svm.LinearSVC",
"line_number": 20,
"usage_type": "call"
},
... |
43683725375 | import sys
import logging as log
import time
from os import environ as env
from json import dumps
try:
import httpx
except ImportError:
log.warning("Module: httpx not imported, please run pip3 install httpx")
sys.exit(1)
## Config settings
def main():
try:
env['HOST_IP']
except KeyError:
... | exNihlio/echo_demo | tests.py | tests.py | py | 12,989 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "logging.warning",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "sys.exit",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "os.environ",
"line_number": 19... |
17054021959 | import tensorflow as tf
from tensorflow import keras #added to save model
from tensorflow.keras import layers #format matches MNIST example
from tensorflow.keras.callbacks import EarlyStopping
from tensorflow.keras.models import Sequential, model_from_json
from tensorflow.keras.layers import Dense
from sklearn.metrics... | imics-lab/time-series-label-assist | prediction/model.py | model.py | py | 4,549 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "sys.path.append",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.keras.Sequential",
"line_number": 63,
"usage_type": "call"
},
{
"api_name": "tensorflow.... |
73027936053 | import argparse
parser = argparse.ArgumentParser()
parser.add_argument("-g", "--gpu", metavar="gpuid", type=int, default=-1,
help="GPU device ID (CPU if negative)")
parser.add_argument("-m", "--model", metavar="model", type=str,
default="ram.chainermodel", help="chainer model fil... | LiuFang816/SALSTM_py_data | python/amasky_ram/ram-master/infer.py | infer.py | py | 2,461 | python | en | code | 9 | github-code | 21 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "sklearn.datasets.fetch_mldata",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.float32",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name"... |
31917385617 | # -*- coding: utf-8 -*-
import numpy as np
from scipy.optimize import curve_fit
from scipy.interpolate import UnivariateSpline
from scipy.spatial import ConvexHull
import scipy.sparse as sparse
from numpy.linalg import norm
from sklearn import preprocessing
import rampy
def get_portion_interest(x,y,bir):
"""Extra... | hududed/raman-analysis | rampy/baseline.py | baseline.py | py | 8,917 | python | en | code | 12 | github-code | 21 | [
{
"api_name": "numpy.array",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "numpy.transpose",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "numpy.vstack",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "numpy.where",
"line_numb... |
21261214320 | import pandas as pd
import itertools
import numpy as np
from scipy.stats import norm
import scipy.stats
from joblib import Parallel, delayed
import multiprocessing
import subprocess
import random
import os
from sklearn.utils.extmath import cartesian
import sys
from datetime import datetime
import argparse
parser = arg... | NSSAC/AMMFluForecasting | code/gen_seasonal.py | gen_seasonal.py | py | 4,076 | python | en | code | 3 | github-code | 21 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "pandas.read_... |
37100781761 | import requests
from lxml import html
import urllib
import openpyxl as excel
def remove_fobidden_chr(txt):
txt = txt.replace('/', '')
txt = txt.replace('>', '')
txt = txt.replace('<', '')
txt = txt.replace(':', '')
txt = txt.replace('"', '')
txt = txt.replace('\\', '')
txt = txt.replace('\n... | Metwalli/download_ecommerce_contents | read_page.py | read_page.py | py | 5,958 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "requests.get",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "lxml.html.fromstring",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "lxml.html",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "urllib.request.urlretriev... |
18034960134 | import pygame
import random
pygame.init()
white = (255, 255, 255)
yellow = (255, 255, 192)
black = (0, 0, 0)
red = (213, 50, 80)
green = (0, 255, 0)
blue = (75, 139, 190)
dis_width = 300
dis_height = 200
dis = pygame.display.set_mode((dis_width, dis_height))
pygame.display.set_caption('Snake Game')
... | montipython94/pySnake | pysnake.py | pysnake.py | py | 4,168 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pygame.init",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_mode",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "pygame.display... |
38793908022 | """Count frequent event(verb) type."""
import logging
import os
from collections import Counter
from tqdm import tqdm
from mcpredictor.utils.document import document_iterator
logger = logging.getLogger(__name__)
def count_stop_event(corp_dir,
work_dir,
file_type="tar",
... | waltbai/MCPredictor | mcpredictor/preprocess/stop_event.py | stop_event.py | py | 1,937 | python | en | code | 14 | github-code | 21 | [
{
"api_name": "logging.getLogger",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "os.path.exists",
"lin... |
25390364322 | # Hidden Markov Models
#
# Author: Ron Weiss <ronweiss@gmail.com>
# Shiqiao Du <lucidfrontier.45@gmail.com>
# API changes: Jaques Grobler <jaquesgrobler@gmail.com>
# Modifications to create of the HMMLearn module: Gael Varoquaux
# More API changes: Sergei Lebedev <superbobry@gmail.com>
"""
The :mod:`hmmlearn.h... | lidh966/GDROM | base_code/hmm_DT.py | hmm_DT.py | py | 15,842 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "base_DT._BaseHMM",
"line_number": 36,
"usage_type": "name"
},
{
"api_name": "base_DT._BaseHMM.__init__",
"line_number": 154,
"usage_type": "call"
},
{
"api_name": "base_DT._BaseHMM",
"line_number": 154,
"usage_type": "name"
},
{
"api_name": "copy.de... |
70180870454 | import logging
import os
from telegram import Update
from telegram.ext import ApplicationBuilder, ContextTypes, MessageHandler, filters
import requests
import asyncio
logging.basicConfig(
format='%(asctime)s - %(name)s - %(levelname)s - %(message)s',
level=logging.INFO
)
async def handleMessage(update: Updat... | yotamhermes/woof-automation | bot_service/app.py | app.py | py | 1,269 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "logging.basicConfig",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "telegram.Update",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "telegram.ext.Con... |
28622455813 | import logging
logger = logging.getLogger(__name__)
AIRFLOW_API_MODE_TO_SUFFIX = {
"flask-admin": "/admin/data_export_plugin/export_data",
"rbac": "/exportdataviewappbuilder/export_data",
"experimental": "/api/experimental/export_data",
}
class AirflowFetchingConfiguration(object):
def __init__(
... | kalebinn/dbnd | modules/dbnd-airflow-monitor/src/airflow_monitor/airflow_servers_fetching.py | airflow_servers_fetching.py | py | 2,725 | python | en | code | null | github-code | 21 | [
{
"api_name": "logging.getLogger",
"line_number": 4,
"usage_type": "call"
}
] |
19758394628 | #!/usr/bin/python
import logging
import logging.handlers
from constants import LOG_FILE
def configure():
logger = logging.getLogger("pricewatch")
logger.setLevel(logging.DEBUG)
# fileHandler = logging.handlers.RotatingFileHandler(fileName, encoding='utf8',
# ... | hashknot/stashbin | stashbin/logger.py | logger.py | py | 749 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "logging.getLogger",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "logging.StreamHandler",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "logging.For... |
4336196916 | import cv2
global img
global point1, point2
# 鼠标响应函数
def Rectangular_box(event, x, y, flags, param):
global img, point1, point2
img2 = img.copy()
if event == cv2.EVENT_LBUTTONDOWN: # 左键点击
point1 = (x, y)
elif event == cv2.EVENT_MOUSEMOVE and (flags & cv2.EVENT_FLAG_LBUTTON): # 按住左键拖曳
... | jindengfeng/duel-links-bot | util/rect.py | rect.py | py | 1,306 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "cv2.EVENT_LBUTTONDOWN",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "cv2.EVENT_MOUSEMOVE",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "cv2.EVENT_FLAG_LBUTTON",
"line_number": 13,
"usage_type": "attribute"
},
{
"a... |
17475908193 | # encoding: utf-8
import time
import gym
from double_network_DQN import double_network_DQN
import pprint as pp
env = gym.make('CartPole-v0')
env = env.unwrapped
observation = env.reset()
DQN = double_network_DQN(num_of_actions=env.action_space.n, num_of_features=env.observation_space.shape[0])
print(env.action_spa... | AKAAKAIplus/Cartpole_DQN_with_tensorflow | environment_implement.py | environment_implement.py | py | 1,396 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "gym.make",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "double_network_DQN.double_network_DQN",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "time.time",
... |
71743818933 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# (c) Shrimadhav U K
# the logging things
import logging
from pyrogram import (
Client,
CallbackQuery
)
from anydlbot import AUTH_USERS
from anydlbot.plugins.youtube_dl_button import youtube_dl_call_back
from anydlbot.plugins.dl_button import ddl_call_back
loggi... | DEEKSB48/anydlbots | anydlbot/plugins/cb_buttons.py | cb_buttons.py | py | 1,109 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "logging.basicConfig",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "logging.getL... |
832571449 | import json
import regex as re
with open('wulgaryzmy.json', 'r', encoding='utf-8') as fh:
wulgarki = json.load(fh)
while True:
wulgaryzm = input("Podaj wulgaryzm: ")
if wulgaryzm != 'Koniec !@#$%^&':
regex = re.compile('|'.join(re.escape(x) for x in wulgarki))
cenzura = re.sub(regex, '!... | AvirFrog/Algorytmy_Uczenia_Maszynowego | Lab01/zad_1_2.py | zad_1_2.py | py | 461 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "json.load",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "regex.compile",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "regex.escape",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "regex.sub",
"line_number": 14... |
26163368191 | from rest_framework import serializers
from module.picking.picking.models import Picking
class PickingSerializer(serializers.ModelSerializer):
last_modification = serializers.DateTimeField(format="%Y-%m-%d %H:%M:%S", required=False)
status = serializers.CharField(source='status.name', required=False)
respo... | sebastiannarvaez23/wmsbk | module/picking/picking/api/serializers.py | serializers.py | py | 726 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "rest_framework.serializers.ModelSerializer",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.serializers",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "rest_framework.serializers.DateTimeField",
"line_number": 5,
"us... |
13443931845 | from __future__ import annotations
from enum import IntEnum, auto
from app.schemas.util import normalize_string_lm3
class BidirectionalClass(IntEnum):
NONE = 0
LEFT_TO_RIGHT = auto()
RIGHT_TO_LEFT = auto()
ARABIC_LETTER = auto()
EUROPEAN_NUMBER = auto()
EUROPEAN_SEPARATOR = auto()
EUROPE... | a-luna/unicode-api | app/schemas/enums/bidirectional_class.py | bidirectional_class.py | py | 3,509 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "enum.IntEnum",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "enum.auto",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "enum.auto",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "enum.auto",
"line_number": 12,
... |
18403395989 | from itertools import accumulate; from math import floor,ceil; import operator; import random; import string; from bisect import *; from collections import deque, defaultdict, Counter, OrderedDict; from functools import reduce,cache; from heapq import *; import unittest; from typing import List,Optional; from functools... | afzalsiddique/problem-solving | Problem_Solving_Python/interview_bit/distinct_numbers_in_window.py | distinct_numbers_in_window.py | py | 1,087 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "collections.Counter",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "unittest.TestCase",
"line_number": 23,
"usage_type": "attribute"
}
] |
21256202850 | import sqlite3
from django.urls import reverse
from django.shortcuts import render, redirect
from django.contrib.auth.decorators import login_required
from datetime import date
from hrapp.models import Employee
from hrapp.models import Computer
from hrapp.models import TrainingProgram
from hrapp.models import EmployeeT... | nss-day-cohort-33/bangazon-workforce-management-vendacien-caliphate | hrapp/views/employees/details.py | details.py | py | 4,014 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "sqlite3.connect",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "connection.Connection.db_path",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "connection.Connection",
"line_number": 15,
"usage_type": "name"
},
{
"api_name... |
74428745012 | import boto3
dynamodb = boto3.resource("dynamodb")
table = dynamodb.Table("hosts")
response = table.scan()
data = response["Items"]
while "LastEvaluatedKey" in response:
response = table.scan(ExclusiveStartKey=response["LastEvaluatedKey"])
data.extend(response["Items"])
print(data)
| lucasjct/python_dynamoDB | scan_items.py | scan_items.py | py | 296 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "boto3.resource",
"line_number": 3,
"usage_type": "call"
}
] |
17930736000 | import pygame
from board import boards
import math
pygame.init() # initializing pygame
# width and height of our screen
WIDTH = 635
HEIGHT = 700
screen = pygame.display.set_mode([WIDTH, HEIGHT]) # Setting the pygame screen using HEIGHT AND WIDTH variable
"""STATIC VARIABLES"""
timer = pygame.time.Clock() # to co... | faizkhan77/PacMan-Python | pacman2.py | pacman2.py | py | 5,451 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pygame.init",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_mode",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "pygame.time.Cl... |
41486493116 | import os
import PySimpleGUI as sg
import json
from datetime import datetime as dt
from dotenv import *
from genericpath import exists
from web3 import Web3
class WrappedElection:
def __str__(self):
return self.name
def __init__(self, election_address: str, election_name: str):
with open("abi... | xavierdmello/Blockchain_Elections | ElectionsCanada.py | ElectionsCanada.py | py | 32,562 | python | en | code | 5 | github-code | 21 | [
{
"api_name": "json.load",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "genericpath.exists",
"line_number": 182,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 183,
"usage_type": "call"
},
{
"api_name": "PySimpleGUI.Text",
"line... |
20833168164 | #-*-coding:utf-8-*-
#/usr/bin/env python
__author__ = "Allan"
import unittest
from function import add_and_multiply
import mock
class MyTestCase(unittest.TestCase):
@mock.patch('function.multiply')
def test_add_and_multiply(self,mock_multiply):
x = 3
y = 5
mock_multiply.return_value =... | nurruden/training | NonTraining/mock/test.py | test.py | py | 555 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "unittest.TestCase",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "function.add_and_multiply",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "mock.patch",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "unittest.m... |
42927243754 | from flask import Flask, render_template, request, jsonify, send_file
import networks, plotting
import networkx as nx
import os
# from intro_to_flask import app
# port = int(os.environ.get("PORT", 5000))
# app.run(debug=True, host='0.0.0.0', port=port)
app = Flask(__name__)
@app.route('/')
def home():
return ... | kojino/network-visualizer | visualizer.py | visualizer.py | py | 2,496 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "flask.Flask",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "flask.request... |
28426050762 | # Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed u... | gitmirgut/bb_stitcher | bb_stitcher/helpers.py | helpers.py | py | 17,883 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "logging.getLogger",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "configparser.ConfigParser",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "os.path",
... |
18405278989 | from itertools import accumulate; from math import floor,ceil,log2; import operator; import random; import string; from bisect import *; from collections import deque, defaultdict, Counter, OrderedDict; from functools import reduce,cache; from heapq import *; import unittest; from typing import List,Optional; from func... | afzalsiddique/problem-solving | Problem_Solving_Python/leetcode/lc2122.py | lc2122.py | py | 1,717 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "typing.List",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "collections.Counter",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "unittest.TestCase",
"line_number": 31,
"usage_type": "attribute"
}
] |
40350845144 | # from dataclasses import dataclass
import yt_dlp
from yt_dlp.utils import DownloadError
from PIL import Image
from core.settings import OUTPUT_AUDIO_PATH, OUTPUT_TEMP_PATH, OUTPUT_IMAGE_PATH
from apis.song.tasks import adownload
class YouTube:
id: str = "youtube"
name: str = "YouTube"
code: int = 1
... | Marak123/SoundTime | backend/apis/song/DlerMedia/platform_class.py | platform_class.py | py | 2,704 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "yt_dlp.YoutubeDL",
"line_number": 73,
"usage_type": "call"
},
{
"api_name": "apis.song.tasks.adownload.delay",
"line_number": 78,
"usage_type": "call"
},
{
"api_name": "apis.song.tasks.adownload",
"line_number": 78,
"usage_type": "name"
},
{
"api_na... |
13751821086 |
from backend.sensors.Sensor import Sensor
from typing import List, Dict, Iterable
import atexit
class sr04Wrapper:
def __init__(self, trigger_pins, echo_pins, angles):
self._sensors = {}
self._distances = {}
if trigger_pins and echo_pins and angles:
self._sensors = [
Sensor(trigger_pin, echo_pin, angl... | MarioBartolome/GII_0_17.02_SNSI | backend/sensors/sr04Wrapper.py | sr04Wrapper.py | py | 974 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "backend.sensors.Sensor.Sensor",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "atexit.register",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "typing.List",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "backend.sen... |
73898613814 | import torch.nn as nn
class MLP(nn.Module):
""" Simple 3 layer MLP for benchmarking"""
def __init__(self, in_feature, out_feature, dropout=0):
super().__init__()
self.layer1 = nn.Linear(in_feature, 100)
self.layer2 = nn.Linear(100, 100)
self.layer3 = nn.Linear(100, out_feature)
... | Tianananana/GAT-implementation | Model/MLPBlock.py | MLPBlock.py | py | 798 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "torch.nn.Module",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 3,
"usage_type": "name"
},
{
"api_name": "torch.nn.Linear",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_numbe... |
70982917494 | # -*- coding:utf-8 -*-
'''
Created on 2016年12月12日
@author: frankzhan
'''
import numpy as np
#np.random.seed(100)
from keras.optimizers import SGD
import os
import matplotlib.pyplot as plt
import h5py
from keras.models import Sequential
from keras.layers.convolutional import Convolution2... | cxf2015/KerasModel | test/kerastest/test1.py | test1.py | py | 2,807 | python | zh | code | 0 | github-code | 21 | [
{
"api_name": "keras.callbacks.Callback",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "keras.models.Sequential",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "keras.layers.convolutional.Convolution2D",
"line_number": 38,
"usage_type": "call"
},
... |
26885027852 | # -*- coding: utf-8 -*-
import datetime
from south.db import db
from south.v2 import SchemaMigration
from django.db import models
class Migration(SchemaMigration):
def forwards(self, orm):
# Adding field 'HealerSettings.description'
db.add_column(u'dashboard_healersettings', 'description',
... | RumorIO/healersource | apps/dashboard/south_migrations/0002_auto__add_field_healersettings_description.py | 0002_auto__add_field_healersettings_description.py | py | 1,154 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "south.v2.SchemaMigration",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "south.db.db.add_column",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "south.db.db",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "south.db.d... |
39610871695 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Fri Mar 26 12:12:52 2021
@author: karl
"""
import pandas as pd
import scipy.io as sio
import numpy as np
tab = pd.read_csv('timestamps_seconds.csv').dropna()
base_mat_path = '/media/karl/DATA/bigMats/'
target_mat_folder = '/media/karl/DATA/berk_submats... | ksm2264/automatic-spoon | split_mat_files.py | split_mat_files.py | py | 3,231 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pandas.read_csv",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "scipy.io.loadmat",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "scipy.io",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "numpy.array",
"line_num... |
30366791781 | '''
Integrantes:
Amanda Fernandes de Oliveira
Guilherme Gomes Nogueira Chaves
'''
import cv2 as cv2
def resizeImage(image, scale):
#image = cv2.imread(filepath, cv2.IMREAD_UNCHANGED)
scale_percent = scale
width = int(image.shape[1] * scale_percent / 100)
height = int(image.shape[0] * scale_percent / 100)
dim = (... | guilhermegnc/Trabalho-Processamento-Digital-De-Imagens | Source/ResizeRegion.py | ResizeRegion.py | py | 473 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "cv2.resize",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "cv2.INTER_AREA",
"line_number": 15,
"usage_type": "attribute"
}
] |
19626041248 | import csv
from io import TextIOWrapper
from time import strftime
from django.http import HttpResponse
from rest_framework.response import Response
from rest_framework.views import APIView
from csv_file.models import User
class CSVHandleView(APIView):
def post(self, request, *args, **kwargs):
if 'file'... | nguyenhuuhai98/django_csv | csv_file/views.py | views.py | py | 1,749 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "rest_framework.views.APIView",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "io.TextIOWrapper",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "csv_file.models",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "csv.rea... |
72268016374 |
import random
import datetime
from bgconvert import *
#TEMPORARY POWER FOR DEBUGGING---------------
import sqlite3
from bgconvert import bgconvert
db_handle = sqlite3.connect('citybloodorg.db', timeout=10)
command = db_handle.cursor()
#TEMP----------------------------------------
def registerUser():
n... | FortemDave/WEEKEND-HACKATHON | hackathonoop/user.py | user.py | py | 4,694 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "sqlite3.connect",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "bgconvert.bgconvert",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "random.randrange",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "random.randrange"... |
20359421413 | import serializers
from rest_framework import viewsets, permissions
from rest_framework.response import Response
from rest_framework import status
from .models import *
import json
class TracksViewSet(viewsets.ModelViewSet):
"""ViewSet for the Tracks class"""
queryset = Tracks.objects.all()
serializer_cla... | himmu/say2gov | say2govApp/views.py | views.py | py | 4,993 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "rest_framework.viewsets.ModelViewSet",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.viewsets",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "serializers.TracksSerializer",
"line_number": 12,
"usage_type": "attribut... |
25739730853 | import csv
import json
csvFilepath = "for_main_json.csv"
jsonFilepath = "ALL_mainJson.json"
#----- Read the CSV and add the data to a dictionary
data = {}
with open(csvFilepath) as csvFile:
csvReader = csv.DictReader(csvFile)
for csvRow in csvReader:
clipUUID = csvRow["clipUUID"]
data[clipUUI... | caitlinttl/For_HF | For_HF/Sound_database/sound_json.py | sound_json.py | py | 1,529 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "csv.DictReader",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": ... |
35364074725 | from game import constants
import arcade
import math
class Create_zombie(arcade.Sprite):
"""This class will allow us to create basic zombies with ease"""
def __init__(self, sprite, scalling, zombie_modifier):
super().__init__(sprite, scalling)
self.hit = False
self.count = 0
se... | gublerj/gublerj-cse210-project | game/create_zombie.py | create_zombie.py | py | 4,429 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "arcade.Sprite",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "game.constants.RIGHT_FACING",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "game.constants",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "gam... |
20391940914 | from typing import Any, Iterable, Union, get_args
from stift.exceptions import FunctionError
ANY_NUM_ARGS = "ANY_NUM_ARGS"
ANY = Any
NUMERICAL = Union[int, float, complex]
REALS = Union[int, float]
class BaseFunction:
"""Basic function class meant to be overloaded.
arg_counts, arg_types, and process() need... | pluots/stift | stift/functions/base.py | base.py | py | 2,871 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "typing.Any",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "typing.Union",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "typing.Union",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "stift.exceptions.FunctionError",
... |
9093852145 | # ANALISIS EXPLORATORIO
import pandas as pd
import numpy as np
import warnings
warnings.filterwarnings("ignore")
df = pd.read_csv("C:/Users/juane/AnaliticaComputacional/Proyecto3/datosValle4000.csv")
#Limpiar base de datos-------------------------------------------------------------------------------------... | juangar7/Garces_AnaliticaComp2023-02 | ArchivoParaMonty.py | ArchivoParaMonty.py | py | 4,795 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "pandas.factori... |
32015065074 | import json
import requests
import os
import time
from pymongo import MongoClient
from database_connection import mongoconn
from dotenv import load_dotenv
## NoSQL DB세팅 ##
# -> 데이터가 API를 통해서 대량으로 가져오다보니, 가공해서 적재를 할 수 없음 #
load_dotenv() # take enviroment variables from .env
## MongoDB 적재할 계정정보 입력 ##
coll = mongocon... | GitPolyMath/project03 | data_etl_module/api_NoSQL_pipline.py | api_NoSQL_pipline.py | py | 2,056 | python | ko | code | 0 | github-code | 21 | [
{
"api_name": "dotenv.load_dotenv",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "database_connection.mongoconn",
"line_number": 16,
"usage_type": "call"
}
] |
34832151263 | from typing import Tuple
from django.contrib.auth.models import User
from django.db import models
from django.utils.translation import gettext_lazy as _
from esi.errors import TokenExpiredError, TokenInvalidError
from esi.models import Token
from eveuniverse.models import EveEntity, EveSolarSystem, EveType
from allia... | staropera/aa-blueprints | blueprints/models.py | models.py | py | 25,249 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "app_utils.logging.LoggerAddTag",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "allianceauth.services.hooks.get_extension_logger",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "django.db.models.Model",
"line_number": 28,
"usage_type":... |
16181130406 | import time
import inspect
import subprocess
from contextlib import contextmanager
import torch
def int_tuple(s):
return tuple(int(i) for i in s.split(','))
def float_tuple(s):
return tuple(float(i) for i in s.split(','))
def str_tuple(s):
return tuple(s.split(','))
def bool_flag(s):
if s == '1':
r... | google/sg2im | sg2im/utils.py | utils.py | py | 1,624 | python | en | code | 1,275 | github-code | 21 | [
{
"api_name": "inspect.currentframe",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "torch.cuda.synchronize",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 35,
"usage_type": "attribute"
},
{
"api_name": "subproces... |
10523909854 | # based on this github : https://github.com/nicknochnack/Langchain-Crash-Course
# Bring in deps
import os
import streamlit as st
from langchain.llms import OpenAI
from langchain.prompts import PromptTemplate
from langchain.chains import LLMChain, SequentialChain
from langchain.memory import ConversationBuff... | lberthod/WordForge | app.py | app.py | py | 10,975 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "os.environ",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "streamlit.secrets",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "streamlit.set_page_config",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "stre... |
31266935634 | from tkinter import *
import tkinter.messagebox as mb
import tkinter.ttk as ttk
import session
root=Tk()
root.geometry('500x525')
photo1=PhotoImage(file='pictures/6.png')
back=Label(root,image=photo1)
back.pack(fill='both',expand='yes')
import pymysql
pymysql.install_as_MySQLdb()
import MySQLdb
def call... | Shubham2299/Job-Portal | project/login_panel2.py | login_panel2.py | py | 1,946 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pymysql.install_as_MySQLdb",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "MySQLdb.connect",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "session.setDeg",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "tkinter.mes... |
39856896410 | import cv2
import argparse
import numpy as np
from keras.utils import np_utils
import glob
from os.path import join
from os import listdir
from random import shuffle
ap = argparse.ArgumentParser()
ap.add_argument(
"-img_size",
"--img_size",
required=True,
type=int,
help="Resize face image",
def... | AKASH2907/deepfakes_video_classification | 00.train_data_prepare.py | 00.train_data_prepare.py | py | 2,185 | python | en | code | 54 | github-code | 21 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"l... |
21793861311 | import openpyxl as openpyxl
import psycopg2
connect = psycopg2.connect(
host='26.42.46.181',
port='5432',
user='postgres',
password='123123',
database='Hakaton')
with connect:
with connect.cursor() as cursor:
cursor.execute('select * from "public"."Requests"')
se... | Wolfesz2/Hakaton | main.py | main.py | py | 2,591 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "psycopg2.connect",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "openpyxl.load_workbook",
"line_number": 44,
"usage_type": "call"
}
] |
35711291768 | import re
from typing import Iterator, List
MEM_REGEX = re.compile(r"mem\[(\d+)\] = (\d+)")
# Thanks to https://www.reddit.com/r/adventofcode/comments/kcr1ct/2020_day_14_solutions/gfsc1yj/ for this.
#
# I attempted to use `itertools.permutations` based on the number of "X"s in `apply_mask::base`, but
# when the num... | Celeo/adventofcode | 2020/day14/part2.py | part2.py | py | 1,629 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "re.compile",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "typing.Iterator",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 27,
"usage_type": "name"
}
] |
15513453580 | from PyQt5.QtWidgets import *
from PyQt5.uic import loadUi
from PyQt5.QtWidgets import QMainWindow, QApplication, QPushButton
from PyQt5 import QtGui
import sys
from matplotlib.backends.backend_qt5agg import FigureCanvasQTAgg as FingureCanvas
from matplotlib.figure import Figure
from deneme2 import Ui_MainWindow
import... | ziyacannikel/PYTHON-GUI | main.py | main.py | py | 2,399 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "PyQt5.QtWidgets.QMainWindow",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "deneme2.Ui_MainWindow",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtGui.QColor",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "... |
29426370473 | import os
import sys
import requests
import json
from pystrict import strict
from typing import List, Set, Dict, Tuple, Optional, Any, Union, NewType
from enum import Enum, unique
from urllib.parse import quote_plus
from pprint import pprint
path = os.path.abspath(os.path.dirname(__file__))
(head, tail) = os.path.spl... | dhlab-basel/0826-wordweb-scripts | 02_import_scripts/knora/models/user.py | user.py | py | 26,855 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "os.path.abspath",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path.split",
"lin... |
29377487622 | # coding=utf8
"""
map/reduce 递归
Version: 1.0
Author: 杨黎
"""
from functools import reduce
def f(x):
return x * x
def fn(x, y):
return x * y
a = [1, 2, 3, 4]
t = map(f, a)
print("map对列表求f(x)=x*x")
for i in t:
print(i, end=' ')
print()
# 求阶乘n!
k = 10
print("reduce求解{}!={}".format(k, reduce(fn, range(1, ... | 996426872/python_q_a | demos/demo00009.py | demo00009.py | py | 544 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "functools.reduce",
"line_number": 27,
"usage_type": "call"
}
] |
8044545014 | # Python code to reading an image using OpenCV
import numpy as np
import cv2
import os
if __name__ == '__main__':
# Init video capture
cap = cv2.VideoCapture(0)
if cap is None or not cap.isOpened():
print('Error: unable to open video source: ', source)
exit(0)
while True:
# C... | iproduct/intro-python | 06-up-2021/cv2_camera_tresholding.py | cv2_camera_tresholding.py | py | 2,425 | python | en | code | 6 | github-code | 21 | [
{
"api_name": "cv2.VideoCapture",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "cv2.resize",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2GRAY",
"lin... |
6188512266 | from itertools import combinations
def solve_task1(file_name, preamble_len):
numbers = read_file(file_name)
for curr_idx in range(preamble_len, len(numbers)):
if not is_valid(numbers[curr_idx], numbers[curr_idx - preamble_len: curr_idx]):
return numbers[curr_idx]
def solve_task2(file_name,... | fuszti/advent_of_code_2020 | day_09/task.py | task.py | py | 1,363 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "itertools.combinations",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "itertools.combinations",
"line_number": 30,
"usage_type": "call"
}
] |
73036357173 | import cupy
from cupy import core
def column_stack(tup):
"""Stacks 1-D and 2-D arrays as columns into a 2-D array.
A 1-D array is first converted to a 2-D column array. Then, the 2-D arrays
are concatenated along the second axis.
Args:
tup (sequence of arrays): 1-D or 2-D arrays to be stacke... | LiuFang816/SALSTM_py_data | python/pfnet_chainer/chainer-master/cupy/manipulation/join.py | join.py | py | 3,329 | python | en | code | 9 | github-code | 21 | [
{
"api_name": "cupy.ndarray",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "cupy.newaxis",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "cupy.core.concatenate_method",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "cupy... |
18866245542 | import os
import requests
import json
import codecs
import pymysql
# useful for handling different item types with a single interface
from itemadapter import ItemAdapter
class WeatherPipeline:
def process_item(self, item, spider):
base_dir = os.getcwd()
filename = base_dir + '/data/weather.txt'
... | ChengYaoYan/event-extraction | data/crawler/exercise/weather/weather/pipelines.py | pipelines.py | py | 2,076 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "os.getcwd",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "os.getcwd",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "codecs.open",
"line_number": 34,... |
14233263920 | #!/usr/bin/python3
import sys
import heapq
import math
import itertools
import collections
math.inf = float('Inf')
# priority node queue
class NodeQueue:
"""
NodeQueue uses a heapq but allows nodes to be deleted from
the queue without any costly reordering.
This is achieved by maintain... | mcgaw/psychic-garbanzo | 3/week6/friend_suggestion/friend_suggestion.py | friend_suggestion.py | py | 4,040 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "math.inf",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "itertools.count",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "heapq.heappush",... |
28385431933 | from PyQt5 import QtWidgets, QtCore
import clientgui_2
import requests
import xml.etree.ElementTree as ET
import json
class ExampleApp(QtWidgets.QMainWindow, clientgui_2.Ui_MainWindow):
def __init__(self):
super(ExampleApp, self).__init__()
self.setupUi(self)
self.EnumirateBoard.pressed.co... | 7eleron/client_sever | client_server.py | client_server.py | py | 4,796 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "PyQt5.QtWidgets.QMainWindow",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "PyQt5.QtWidgets",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "clientgui_2.Ui_MainWindow",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_... |
4589075922 | #!/bin/python3
import argparse
import datetime
import getpass
import logging
import os
import requests
import sys
import spotipy
from spotipy.oauth2 import SpotifyClientCredentials, SpotifyOAuth
MAX_ITEMS = 50
MAX_SET_ITEMS = 20
##
# Classes to model the Spotify libary:
##
class Artist:
def __init__(self, i... | plustik/scriptify | scriptify.py | scriptify.py | py | 24,452 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "logging.debug",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "spotipy.exceptions",
"line_number": 45,
"usage_type": "attribute"
},
{
"api_name": "logging.warning",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "logging.debug",... |
37534818471 | """
匹马印第安人糖尿病预测数据集
pima.data
"""
# 1、导库
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
plt.style.use("ggplot")
# plt.style.use("fivethirtyeight")
# 2、数据读取(原始数据无列名，手动添加)
data = pd.read_csv("pima.data", header=None)
data.columns = ["times_pregnant", "plasma_g... | ljczxy/Feature-Engineering | 特征增强：清洗数据.py | 特征增强：清洗数据.py | py | 6,349 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "matplotlib.pyplot.style.use",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.style",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 11,
"usage_type": "name"
},
{
"api_na... |
34901561415 | import os
from pathlib import Path
from typing import List
import dateparser
import pandas as pd
from loguru import logger
import variables as v
from models.cr import PresenceRegexPattern, presence_regex_mapping
from processing.pdf_processing import PDFProcessing
from processing.text_processing import FromTextToDF
fr... | spacewaterbear/cr-analysis | main.py | main.py | py | 4,564 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "loguru.logger.info",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "loguru.logger",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "pathlib.Path",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"lin... |
1596999592 | import datetime
from django.utils import timezone
from django.conf import settings
from django.core.mail import send_mail
from django.shortcuts import render
# la carpeta de teplates debe ser declarada
# en TEMPLATES.DIRS en el fichero gestion/settings.py
# Create your views here.
from django.http import HttpRespons... | lifofernandez/cursos | gestion/views.py | views.py | py | 25,267 | python | es | code | 0 | github-code | 21 | [
{
"api_name": "forms.InscriptoForm",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "django.core.mail.send_mail",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "django.http.HttpResponse",
"line_number": 71,
"usage_type": "call"
},
{
"api_name"... |
43427850067 | from __future__ import print_function
import torch
import torch.nn as nn
import torch.nn.functional as F
from torchvision import datasets, transforms
from torch.autograd import Variable
import pandas as pd
import numpy as np
class Net(nn.Module):
def __init__(self):
super(Net, self).__init__()
sel... | roma141/mnist | try 3/api.py | api.py | py | 10,548 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "torch.nn.Module",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "torch.nn.Conv2d",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_nu... |
13768722353 | import os, time, argparse, json
from flask import Flask, request
from flask_restful import Resource, Api
from flask_restful import reqparse
from werkzeug.utils import secure_filename
from darknet import get_tiny_yolo_detection
import sys
UPLOAD_FOLDER = '/inference/temp'
app = Flask(__name__)
app.config['UPLOAD_FOLD... | rdsea/sys4bigml | tutorials/MLServing/edge-inference-server/server.py | server.py | py | 1,377 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "flask.Flask",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "flask_restful.Api",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "flask_restful.Resource",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "flask.request.fi... |
22011740551 | from PyQt5.QtCore import pyqtSlot
from PyQt5.QtGui import QFont
from PyQt5.QtWidgets import (QHBoxLayout, QLabel, QPushButton, QSizePolicy,
QTextEdit, QVBoxLayout, QWidget)
from languages.lang import lang
from nlptools.kernels.wordnet import Wordnet
from .BaseWindow import BaseWindow
cl... | salehmontazeran/nlp-project | nlptools/windows/WordnetWindow.py | WordnetWindow.py | py | 2,077 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "BaseWindow.BaseWindow",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "languages.lang.lang",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtGui.QFont",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtW... |
19817023260 | from sklearn.metrics.pairwise import cosine_similarity
from sklearn.feature_extraction.text import TfidfVectorizer
def fit_tfidf_model(train_docs):
vectorizer = TfidfVectorizer()
docs_tfidf = vectorizer.fit_transform(train_docs)
return vectorizer, docs_tfidf
def get_most_similar_term(term_name, vectoriz... | abdullahyldz/Cmpe493TermProject | functions_tfidf.py | functions_tfidf.py | py | 3,666 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "sklearn.feature_extraction.text.TfidfVectorizer",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "sklearn.metrics.pairwise.cosine_similarity",
"line_number": 13,
"usage_type": "call"
}
] |
28391336305 | import numpy as np
import pandas as pd
from sklearn.tree import DecisionTreeClassifier, DecisionTreeRegressor
from synthpop.method import Method, proper, smooth
# global variables
from synthpop import NUM_COLS_DTYPES, CAT_COLS_DTYPES
class CARTMethod(Method):
def __init__(self, dtype, smoothing=False, proper=Fal... | hazy/synthpop | synthpop/method/cart.py | cart.py | py | 2,519 | python | en | code | 37 | github-code | 21 | [
{
"api_name": "synthpop.method.Method",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "synthpop.method.proper",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "synthpop.CAT_COLS_DTYPES",
"line_number": 18,
"usage_type": "name"
},
{
"api_name":... |
16008394753 | from collections import deque
from statistics import mean
from collections import deque
import time
import math
import numpy as np
LEFT_EYE_INDEX = 0
RIGHT_EYE_INDEX = 1
REAL_IPD = 6.5 # cm. Physical distance between my pupils
xq = deque([0] * 3, 3)
yq = deque([0] * 3, 3)
zq = deque([0] * 3, 3)
def convertBoundi... | adewinter/perspective | python/utils.py | utils.py | py | 3,717 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "collections.deque",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "collections.deque",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "collections.deque",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "math.sqrt",
... |
5111560001 | from collections import namedtuple
import fnmatch
import json
import dateutil
from PIL.Image import Image
from django.contrib.auth import password_validation
from rest_framework.authtoken.views import ObtainAuthToken
from rest_framework.authtoken.models import Token
from rest_framework.exceptions import ValidationError... | crescsanski/Budget-Buddy | backend/app/views/receipt_upload.py | receipt_upload.py | py | 17,872 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "rest_framework.generics.GenericAPIView",
"line_number": 45,
"usage_type": "name"
},
{
"api_name": "rest_framework.decorators.parser_classes",
"line_number": 47,
"usage_type": "name"
},
{
"api_name": "rest_framework.parsers.MultiPartParser",
"line_number": 47,
... |
16966473216 | from flask import Flask, request
from flask_restful import Api, Resource, reqparse, abort, fields, marshal_with
from flask_sqlalchemy import SQLAlchemy
app = Flask(__name__) # creating a new Flask app
api = Api(app) # wrap our app in a rest API
app.config["SQLALCHEMY_DATABASE_URI"] = "sqlite:///database.db"
db = SQ... | calzoom/FlaskRestAPITutorial | main.py | main.py | py | 4,484 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "flask.Flask",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "flask_restful.Api",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "flask_sqlalchemy.SQLAlchemy",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "flask_restful.... |
10245559411 | import unittest
from pathlib import Path
import shutil
class FileMoveTestCase(unittest.TestCase):
def setUp(self):
self.source_folder = Path('/path/to/source/')
self.target_folder = Path('/path/to/target/')
# Create some temporary files for testing
source_file1 = self.sourc... | nprasad2077/scripts | tests/find_move_version_2_test.py | find_move_version_2_test.py | py | 1,552 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "unittest.TestCase",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "pathlib.Path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "shutil.rmtree",
"li... |
10709170246 | from django.urls import path
from rest_framework.urlpatterns import format_suffix_patterns
from library import views
urlpatterns = [
path('', views.api_root),
path('library/', views.BookList.as_view(), name='library-list'),
path('library/featured/', views.FeatureBook.as_view(), name='featured_book'),
... | Momentum-Team-14/drf-library-api-Ajsteph89 | library/urls.py | urls.py | py | 852 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "library.views.api_root",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "library.views",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.urls.p... |
33744624613 | #!/usr/bin/python3
"""
# -*- coding: utf-8 -*-
# @Time : 2020/8/28 11:04
# @File : train.py
"""
from cProfile import label
from pickletools import optimize
import torch
import torchvision
from django.utils import timezone
from training.lenet import LeNet
import training.pre_process as pre_process
from trai... | Hsu1023/THSS-CRACKER | 2nd Summer/程序设计实践/hw4/src/training/train.py | train.py | py | 4,999 | python | en | code | 7 | github-code | 21 | [
{
"api_name": "os.environ",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "threading.Lock",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "torchvision.datasets.MNIST",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "torchvision... |
12520212740 | #!/usr/bin/env python3
import sys
import matplotlib.pyplot as plt
import numpy as np
from fastdtw import fastdtw
from scipy.spatial.distance import euclidean
file_1 = sys.argv[1]
file_2 = sys.argv[2]
pv_1 = np.array([float(line.strip()) for line in open(file_1, 'r')])
pv_2 = np.array([float(line.strip()) for line in... | orestisfl/thxou2016-qbsh | src/pv_plot.py | pv_plot.py | py | 1,012 | python | en | code | 5 | github-code | 21 | [
{
"api_name": "sys.argv",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "numpy.array",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_numbe... |
72970126772 |
from Lib.pacman.pacman_exclusive.simulation import PacmanExclusiveSimulation
from Lib.pacman.pacman_with_ghosts.simulation import PacmanGhostSimulation
from pathlib import Path
base_path = Path(__file__).parent
pacman_ghost_config_path = (base_path / "../conf/config.conf").resolve()
pacman_exclusive_config_path = (b... | AshtonGit/NEAT-Pacman | Lib/pacman/main.py | main.py | py | 2,713 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pathlib.Path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "Lib.pacman.pacman_exclusive.simulation.PacmanExclusiveSimulation",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "Lib.pacman.pacman_with_ghosts.simulation.PacmanGhostSimulation",
... |
13719815464 | import datetime
import re
import zipfile
from io import BytesIO, StringIO
from depot.io.utils import FileIntent
from tg import abort, expose, flash, redirect, request, require, response, url
from tg.predicates import has_permission, not_anonymous
import algobowl.lib.problem as problemlib
from algobowl.lib.base import... | jackrosenthal/algobowl | algobowl/controllers/group.py | group.py | py | 15,148 | python | en | code | 4 | github-code | 21 | [
{
"api_name": "re.compile",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "algobowl.lib.base.BaseController",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "tg.predicates.... |
38617341721 | from tkinter import *
from pystray import MenuItem as item
from PIL import Image
from time import sleep
import tkinter.messagebox
import pystray
import pyperclip
import keyboard
import os.path
# Создаем окно приложения
main_window = Tk()
main_window.title("Simpless Clipboard")
main_window.configure(background="white")... | justc0de-it/simpless-clipboard | main.py | main.py | py | 3,651 | python | ru | code | 0 | github-code | 21 | [
{
"api_name": "tkinter.messagebox",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "PIL.Image.open",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 49,
"usage_type": "name"
},
{
"api_name": "pystray.MenuItem",
... |
46781241724 | from base64 import b64encode, b64decode
from Crypto.Cipher import AES
import threading
import hashlib
import json
class Util:
def __init__(self, *args):
pass
def hash(self, str_input):
return hashlib.sha256(str_input.encode()).hexdigest()
def str_join(self, *args):
return ''.join(ma... | LixurProtocol/Lixur-Python-Archive | Lixur Protocol/server/util.py | util.py | py | 4,240 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "hashlib.sha256",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "threading.Thread",
"line_numbe... |
1209128587 | import numpy as np
from numpy import mat, zeros
from scipy.integrate import ode
class Simulation:
def __init__(self, max_time, time_step):
self.max_time = max_time
self.time_step = time_step
self.num_steps = round(max_time / time_step) + 1
# numeric drift correction constants
... | treygreer/treb | treb_sim/src/dynamics/simulation.py | simulation.py | py | 5,998 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "numpy.mat",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "numpy.mat",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "numpy.mat",
"line_number": 45,
... |
40293685334 | from django.shortcuts import render
from .models import Movie
from directors.models import Director
from starts.models import Actor
from user.models import CustomUser
from django.views.generic import ListView
import pandas as pd
from django.http.response import HttpResponse
from festivals.models import Festival
# cla... | Stink-Po/imdbi | movies/views.py | views.py | py | 1,499 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pandas.read_csv",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "festivals.models.Festival",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "django.http.response.HttpResponse",
"line_number": 39,
"usage_type": "call"
}
] |
31626419080 | # Version Date Developer Comments
#--------------------------------------------------------------------------
# 0.1 ? ? initial development
# 0.1.1 2019-07-31 Drew Thompson remove hardcoded values
# 0.1.2 ... | shlienlab/WGS_somatic_pipeline | dockerfiles/shlienlab-filtering:3.6/filterpipeline/cFilter.py | cFilter.py | py | 23,065 | python | en | code | 3 | github-code | 21 | [
{
"api_name": "pandas.read_csv",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "yaml.safe_load",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "warnings.warn",
"line_number": 72,
"usage_type": "call"
},
{
"api_name": "warnings.warn",
"lin... |
28456942718 | import configparser
import datetime
import json
import os
import re
import discord
import requests
import spotipy
import spotipy.util
client = discord.Client()
@client.event
async def on_ready():
print('------')
print('Logged in as: {}:{}'.format(client.user.name, client.user.id))
print('------')
@cli... | daot/playlistBot | bot.py | bot.py | py | 6,422 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "discord.Client",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "spotipy.util.prompt_for_user_token",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "spotipy.util",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "s... |
11647778492 | import unittest
import keyboard
from base import input_cmd
from commands import CMD
from fixtures.fixtures_cmd import (cmd_list_1, cmd_list_2, cmd_list_3,
cmd_list_4, cmd_list_5, cmd_list_6)
from fixtures.fixtures_res import (res_list_1, res_list_2, res_list_3,
... | SergSukh/code_testing_examples | tests_unit.py | tests_unit.py | py | 5,326 | python | ru | code | 1 | github-code | 21 | [
{
"api_name": "unittest.TestCase",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "fixtures.fixtures_cmd.cmd_list_1",
"line_number": 19,
"usage_type": "argument"
},
{
"api_name": "fixtures.fixtures_cmd.cmd_list_1",
"line_number": 20,
"usage_type": "name"
... |
23097569643 | import sys, json,random
with open('jsons.txt') as f:
articles = f.readlines()
random.shuffle(articles)
articles = articles[:int(len(articles)*0.2)]
with open('french_news.txt','w') as f:
for i,article in enumerate(articles):
with open(article.strip()) as a:
art = json.load(a)
f.w... | herobd/handwriting_line_generation | data/compile_french_new.py | compile_french_new.py | py | 391 | python | en | code | 59 | github-code | 21 | [
{
"api_name": "random.shuffle",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 9,
"usage_type": "call"
}
] |
42525949555 | # -*- coding: utf-8 -*-
#@+leo-ver=5-thin
#@+node:pimgeek.20181113171208.1: * @file eel_test.py
#@@first
#@@language python
import eel
# 指定包含前端代码的文件夹
eel.init('web')
# 把下方的 python 方法暴露给前端（以便 javascript 调用）
# 发生前端调用时，可以顺带接收到来自前端的数据（即方法参数）
@eel.expose
def js_to_py(js_param, is_over):
print('[py] js_to_py 方法：%s' % j... | pimgeek/play | leo/eel_test.py | eel_test.py | py | 1,421 | python | zh | code | 0 | github-code | 21 | [
{
"api_name": "eel.init",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "eel.py_to_js",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "eel.expose",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "eel.py_to_js",
"line_number... |
31289216904 | import collections
from typing import List
class Solution:
def networkBecomesIdle(self, edges: List[List[int]], patience: List[int]) -> int:
ans = 3
n = len(patience)
g = [[] for _ in range(n)]
for u, v in edges:
g[v].append(u)
g[u].append(v)
visite... | sengami-yuka/py | coding_problems/leetcode/2039_the_time_when_the_network_becomes_idle.py | 2039_the_time_when_the_network_becomes_idle.py | py | 1,405 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "typing.List",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "collections.deque",
"line_number": 15,
"usage_type": "call"
}
] |
7746258892 | import csv
import cv2
import numpy as np
from keras.models import Sequential
from keras.layers import Flatten, Dense, Lambda, Dropout
from keras.layers.convolutional import Convolution2D, Cropping2D
standard_path = '../../opt/carnd_p3/data/'
def get_csv_lines():
"""
Puts the lines of provided csv file 'drivin... | chrMenzel/CarND-Behavioral-Cloning | model.py | model.py | py | 5,047 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "csv.reader",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2RGB",
"line_numb... |
39018603721 | #!/usr/bin/env python3
"""
SGLD sampler
"""
import jax.numpy as jnp
from jax import jit, random
import numpy as np
import time
from tqdm import tqdm
def sgld_grad(key, theta, gradf_0, gradf_i_batch, x, y, n, replacement):
"""
Function to evaluate SGLD stochastic gradient
Inputs:
key - ... | srshtiputcha/sgmcmc_preferential_subsampling | src/samplers/sgld.py | sgld.py | py | 3,995 | python | en | code | 3 | github-code | 21 | [
{
"api_name": "jax.random.split",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "jax.random",
"line_number": 33,
"usage_type": "name"
},
{
"api_name": "jax.random.choice",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "jax.random",
"line_... |
9375010769 | import nltk
def main():
while True:
text = input("Text: ")
text_tokenized = nltk.word_tokenize(text)
pos_tags = nltk.pos_tag(text_tokenized)
pos_tags = [pos_tag[1] for pos_tag in pos_tags]
print("POS: ", ' '.join(pos_tags))
if __name__ == "__main__":
main()
| potsawee/py-tools-ged | old-scripts/pos_generator.py | pos_generator.py | py | 309 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "nltk.word_tokenize",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "nltk.pos_tag",
"line_number": 7,
"usage_type": "call"
}
] |
45169719211 | import log
import os
os.environ['TZ'] = 'UTC'
import logging
logger = logging.getLogger(__name__)
import hashlib
import json
import uuid
import time
from contextlib import contextmanager
from redis import Redis
import docker
import psycopg2
import psycopg2.pool
from psycopg2.extras import RealDictCursor
r = Redis(h... | thalida/unpack.link | unpack/helpers.py | helpers.py | py | 13,741 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "os.environ",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "redis.Redis",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_nu... |
69928101812 | import pygame, sys, os
from pygame.locals import *
dir(pygame)
pygame.init()
window = pygame.display.set_mode((900, 500))
pygame.display.set_caption("Drop and Shoot")
screen = pygame.display.get_surface()
#images needed are wheels that rotate, rig, explosion, explosive rock, rock, background
#music ne... | MarioMingoia/DropandShoot | Drop and Shoot/main.py | main.py | py | 383 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pygame.init",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_mode",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "pygame.display.s... |
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