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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
43597637487 | import datetime
def parse_weather_data(weather_data, location_start, location_end):
start_index = num_days_from_now(location_start)
end_index = num_days_from_now(location_end)
day_range = range(start_index,end_index+1)
parsed_data = {}
for day_num,day_weather in weather_data.items():
... | apham727/WeatherForItinerary | parseweatherdata.py | parseweatherdata.py | py | 687 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "datetime.datetime.now",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "datetime.date",
"line_number": 17,
"usage_type": "call"
}
] |
8845912151 | # Solucionando a equação da reta para diferentes pontos
# Reta: -1x + 4x + 0.4
# ax + by + c = 0
# y = (-a*x - c)/b
# A reta é um classificador
"""
Note queoponto p₁ está na reta,enquanto p₂ está acima da retaep3 abaixo.Ao solucionaraequação da reta para esses três
pontos,tivemos respectivamente resultados nulo(=0),pos... | Vicrrs/starting_in_pytorch | Solução_da_eq_da_reta.py | Solução_da_eq_da_reta.py | py | 1,223 | python | pt | code | 0 | github-code | 21 | [
{
"api_name": "numpy.linspace",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.axvline",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "matplotlib... |
70741541494 | import numpy as np
import cv2
from matplotlib import pyplot as plt
# img1 = cv2.imread('../frontend/repo/joico/Tratamento/Original/Joi-0079.jpg',0)
# img2 = cv2.imread('../frontend/repo/joico/Tratamento/Original/CE_TreatmentMasque_500ml_Joi-0210.jpg', 0)
# Initiate STAR detector
orb = cv2.ORB_create()
# print(help(o... | jlobasso/imageMatcher | backend/matches/fast.py | fast.py | py | 1,129 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "cv2.ORB_create",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "cv2.BFMatcher",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "cv2.NORM_HAMMING",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "cv2.drawMatches",
... |
9419282872 | """
2▹ Utwórz klasę dla storczyków. Storczyki z zasady mają różne kolory, pory kwitnienia, gatunki.
Utwórz dowolne atrybuty i metody. Dodaj atrybut wspólny dla wszystkich storczyków - królestwo roślin.
Utwórz kilka storczyków z różnymi parametrami.
"""
import datetime
class Orchid:
common_type = 'plant'
def ... | gekogit/pythonCourse | 11_OOP/02_orchid.py | 02_orchid.py | py | 1,030 | python | pl | code | 0 | github-code | 21 | [
{
"api_name": "datetime.datetime.now",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 18,
"usage_type": "attribute"
}
] |
17950913690 | import argparse
from datetime import datetime
import time
import configparser
from phish_detector import PhishDetector
from rich import print as printc
if __name__ == "__main__":
# Arguments
parser = argparse.ArgumentParser(prog='HookPhish.py', description='A Python script designed to aid in the detection of ... | 0liverFlow/HookPhish | HookPhish.py | HookPhish.py | py | 5,289 | python | en | code | 26 | github-code | 21 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "phish_detector.PhishDetector",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "rich.print",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "phish... |
42421695914 | from django.shortcuts import render, get_object_or_404, redirect
from django.contrib import messages
from django.utils import timezone
import datetime
from accounts.models import *
from django.contrib.auth.decorators import login_required
@login_required(login_url='login')
def book_in(request):
if request.method ... | Ziyodulla-Abdukarimov/Library-assistant | library/services.py | services.py | py | 5,868 | python | en | code | 3 | github-code | 21 | [
{
"api_name": "django.shortcuts.render",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.decorators.login_required",
"line_number": 9,
"usage_type": "call"
... |
6666977187 | # Created by wushuyi on 2016/8/7 0007.
from flask import request, jsonify
from flask.json import dumps as json_dumps
from flask.views import View
from store.disk import FileManager
import config
class FileManagerView(View):
methods = ['POST', 'GET']
def __init__(self):
self.filemanager = FileManager(... | wushuyi/filemanager | viewer.py | viewer.py | py | 2,067 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "flask.views.View",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "store.disk.FileManager",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "flask.request.args.get",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "flask.r... |
27487733117 | import os
import pickle
import dgl
def train_topo_check():
graph_data_path = os.path.join('../resources/dataset/c/test/graph_data_no_loop.pkl')
with open(graph_data_path, 'rb') as f:
data_lst = pickle.load(f)
print('The length of original dataset is %s'%len(data_lst))
topolog_len_lst = {}
... | YuanJiangGit/Code-Representation-Graph-LSTM | DataProcess/DataCheck.py | DataCheck.py | py | 2,001 | python | en | code | 8 | github-code | 21 | [
{
"api_name": "os.path.join",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "pickle.load",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "dgl.topological_nodes_generator",
... |
26106832376 | from typing import List
from urllib.parse import urlencode
import pytest
from fastapi import Request
from fastapi.responses import JSONResponse, RedirectResponse
from httpx import AsyncClient
from hypothesis import given, settings
from hypothesis.provisional import urls
from hypothesis.strategies import emails, permut... | HarrySky/melodiam | tests/auth/test_melodiam_auth.py | test_melodiam_auth.py | py | 3,848 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "fastapi.Request",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "fastapi.responses.JSONResponse",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "melodiam.auth.api.get",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "... |
2398875237 | from django.shortcuts import render,redirect
from django.http import HttpResponse
from book.models import Book
# Create your views here.
def homepage(request): # view - function based View(FBV) # request -- http request # user defined func
all_books = Book.objects.all()
# print(all_books)
return rend... | TousifGit/LibraryProject | book/views.py | views.py | py | 2,141 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "book.models.Book.objects.all",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "book.models.Book.objects",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "book.models.Book",
"line_number": 8,
"usage_type": "name"
},
{
"api_name... |
36254843921 | import pickle
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
import numpy as np
plt.rcParams.update({'font.size': 12})
out_name = "out_frozen_lake3.csv" # Default: out.csv
hist_name = 'hist_frozen_lake.pkl'
DF = pd.read_csv(out_name)
DF.rename(columns={'Errors': 'Asymptotic Convergence Err... | mshaocong/VRTDC | plot.py | plot.py | py | 1,981 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "matplotlib.pyplot.rcParams.update",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.rcParams",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 6,
"usage_type": "name"
},
{
"... |
28502048641 | # 23. Merge k Sorted Lists
# You are given an array of k linked-lists lists, each linked-list is
# sorted in ascending order.
# Merge all the linked-lists into one sorted linked-list and return it.
# Example 1:
# Input: lists = [[1,4,5],[1,3,4],[2,6]]
# Output: [1,1,2,3,4,4,5,6]
# Explanation: The linked-lists are:... | DmitryVlaznev/leetcode | 23-merge-k-sorted-lists.py | 23-merge-k-sorted-lists.py | py | 2,039 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "typing.List",
"line_number": 47,
"usage_type": "name"
},
{
"api_name": "heapq.heappush",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "heapq.heappop",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "heapq.heappush",
"line_n... |
14684627000 | from principal import gui
from random import randint
from principal.gui import *
from Estructura.Grafo import *
from Estructura.Queue import *
from Estructura.Tanque import *
import json
import threading
class Main:
if __name__ == '__main__':
grafo = Grafo()
with open('p.json') as f:
... | MarcoContreras23/ProjectoGrafos | principal/Main.py | Main.py | py | 1,075 | python | es | code | 0 | github-code | 21 | [
{
"api_name": "json.load",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_nu... |
72452144374 | import pygame
import math
from queue import PriorityQueue
import time
WIDTH = 600
WIN = pygame.display.set_mode((WIDTH, WIDTH))
pygame.display.set_caption("A* Path Finding Algorithm")
RED = (255, 0, 0)
GREEN = (0, 255, 0)
BLUE = (0, 0, 255)
WHITE = (255, 255, 255)
BLACK = (0, 0, 0)
ORANGE = (255, 165, 0)
TURQUOISE =... | Myancko/A-star | chase.py | chase.py | py | 17,278 | python | en | code | 0 | github-code | 21 | [
{
"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.set_caption",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "p... |
28015909146 | import sys
import os
from txt2ngrams import *
import re
import pandas as pd
from collections import Counter
import logging
def extractFileName(line):
tokens = line.rstrip().split()
linkname = tokens[0]
linkpathsplit = linkname.split('/')
fname = linkpathsplit[-1]+'_'+tokens[1]+'.txt'
return fname
... | nejmngrams/nejmngrams.github.io | parsescripts/multitxt2ngrams.py | multitxt2ngrams.py | py | 1,765 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "re.split",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "collections.Counter",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "collections.Counter",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "collections.Counter"... |
24088030418 | from utils import constant as const
from model.user import User
from model.book import Book
# access library
def check_book(books: dict, case: str, user=User, value=any):
# validate
for key, book in books.items():
if case == const.BORROW_BOOK:
if book.borrower == User:
prin... | gilangdarmawan48/Fungsional | function/book.py | book.py | py | 3,502 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "model.user.User",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "utils.constant.BORROW_BOOK",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "utils.constant",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "model.u... |
11094994252 | import gc
from iminuit import Minuit
import os
import yaml
import numpy as np
from fermipy.gtanalysis import GTAnalysis
import psutil
process = psutil.Process(os.getpid())
'''Class that handles the grid analysis, e.g. selection of g/m, fitting, data handling.
'''
class Janitor:
'''Because janitors do the work.
... | specktakel/ts_limit | grid_ts/janitor_copy.py | janitor_copy.py | py | 8,932 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "psutil.Process",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.getpid",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "ts_limit.grid_survival_prob.probs.Probs",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "numpy.... |
8728012059 | from flask import Flask, jsonify, request
from integracao import integracacao_Spotter_Moskit
from http.client import HTTPConnection
import logging
from sys import stdout
import os
app = Flask(__name__)
# Definindo logger
HTTPConnection.debuglevel = 0
logger = logging.getLogger(__name__)
stdOut = logging.StreamHandl... | lukasmachado-elysia/Integracao-Spotter-Moskit | app.py | app.py | py | 2,395 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "flask.Flask",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "http.client.HTTPConnection.debuglevel",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "http.client.HTTPConnection",
"line_number": 11,
"usage_type": "name"
},
{
"... |
13517045952 | import os
import numpy as np
from src.SB3.encoder import EgocentricEncoders
from src.SB3.ppo import PPO_AUX
from src.igibson.multi_object_env import MultiObjectEnv
try:
from stable_baselines3.common.utils import set_random_seed
from stable_baselines3.common.vec_env import SubprocVecEnv, VecMonitor
except M... | robot-learning-freiburg/Multi-Object-Search | evaluate.py | evaluate.py | py | 5,090 | python | en | code | 8 | github-code | 21 | [
{
"api_name": "os.path.join",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 43,
"usage_type": "attribute"
},
{
"api_name": "src.igibson.multi_object_env.MultiObjectEnv",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": ... |
29917117935 | # -*- coding: utf-8 -*-
from flask import Flask, jsonify
app = Flask(__name__)
# Route pour fournir des données JSON
@app.route('/api/data', methods=["GET"])
def get_data():
data = {'message': 'Données depuis le serveur Flask'}
return jsonify(data)
if __name__ == '__main__':
app.run(debug=True)
| DeVerMyst/DEVIA2023 | E_c_Streamlit-demo/10_flaskserveur.py | 10_flaskserveur.py | py | 314 | python | fr | code | 3 | github-code | 21 | [
{
"api_name": "flask.Flask",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "flask.jsonify",
"line_number": 11,
"usage_type": "call"
}
] |
36577646705 | from flask import session, jsonify,render_template,current_app,abort,g,request
from info import models, db
from info.utils.commons import user_login_data
from info.utils.response_code import RET
from . import news_blue
#关注功能
@news_blue.route('/followed_user',methods=["POST"])
@user_login_data
def followed_user():
... | redelephant5/information_hmh | info/modules/news/views.py | views.py | py | 11,273 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "flask.g.user",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "flask.g",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "flask.jsonify",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "info.utils.response_code.RET.... |
42673095154 | """startup URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/2.1/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: path('', views.home, name='home')
Class-based... | alexneysis/jino | users/urls.py | urls.py | py | 1,252 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "django.conf.urls.url",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "users.views.send_client",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "users.views",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "django.... |
29964747073 | from sys import stdin
from collections import deque
from copy import deepcopy
input = stdin.readline
n = int(input())
def bfs(land, col, row, not_visited, rain):
dx, dy = [-1,1,0,0],[0,0,-1,1]
queue = deque()
queue.append((col, row))
while queue:
node = queue.popleft()
if not_visited[n... | GDSC-SCH/2021-GDSCSCH-AlgorithmStudy | 15_이준용/2468.py | 2468.py | py | 1,120 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "sys.stdin.readline",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "sys.stdin",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "collections.deque",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "copy.deepcopy",
... |
15068882657 | '''
天气预报小程序 V0.1
'''
import urllib.request
import json
import string
import matplotlib.pyplot as plt
import numpy as np
from matplotlib.font_manager import FontProperties #字体管理器
def Weather_forcast(city,district_code):
Font = FontProperties(fname="C:\Windows\Fonts\simkai.ttf")
url = 'http://api.m... | YangPotatoes/Python_visual | Charpter2/Weather_forecast.py | Weather_forecast.py | py | 1,428 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "matplotlib.font_manager.FontProperties",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "urllib.request.parse.quote",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "urllib.request.parse",
"line_number": 17,
"usage_type": "attribute"
}... |
27184780021 | from flask import Blueprint, render_template, request, flash
from flask_mysqldb import MySQL
from .. import mysql
covid = Blueprint('covid', __name__)
@covid.route('/covid', methods=['GET', 'POST'])
def covid_check():
status=200
cur = mysql.connection.cursor()
cur2 = mysql.connection.cursor()
if reque... | ThanosBb3/Database_Project | app/backend/covid.py | covid.py | py | 2,654 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "flask.Blueprint",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "flask.request.method",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "flask.request.... |
15469329514 | import io
import unittest
from pygopherd import testutil
from pygopherd.protocols.wap import WAPProtocol
class TestWAPProtocol(unittest.TestCase):
def setUp(self):
self.config = testutil.get_config()
self.logfile = testutil.get_string_logger()
self.rfile = io.BytesIO(b"Accept:text/plain\n... | michael-lazar/pygopherd | tests/protocols/test_wap.py | test_wap.py | py | 2,220 | python | en | code | 23 | github-code | 21 | [
{
"api_name": "unittest.TestCase",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "pygopherd.testutil.get_config",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pygopherd.testutil",
"line_number": 10,
"usage_type": "name"
},
{
"api_name":... |
74929967412 | import torch
from torch import nn
class FS_Encoder(nn.Module):
def __init__(self):
super(FS_Encoder, self).__init__()
self.flatten = nn.Flatten()
self.encoder = nn.Sequential(
self.conv_block(1, 64),
self.conv_block(64, 64),
self.conv_block(64, 64),
... | JovianPlanet/protonet-seg | models/encoder.py | encoder.py | py | 3,948 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "torch.nn.Module",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "torch.nn.Flatten",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_numb... |
16871801443 | from decimal import Decimal
import json
prefixes = [
("", "", Decimal(1E+0)),
("yotta", "Y", Decimal(1E+24)),
("zetta", "Z", Decimal(1E+21)),
("exa", "E", Decimal(1E+18)),
("peta", "P", Decimal(1E+15)),
("tera", "T", Decimal(1E+12)),
("giga", "G", Decimal(1E+9)),
("mega", "M", Decimal(... | musabkilic/UnitConverter | converter.py | converter.py | py | 3,320 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "decimal.Decimal",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "decimal.Decimal",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "decimal.Decimal",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "decimal.Decimal",
"l... |
38667962143 | import numpy as np
import torch
import gym
import wrappers
import signal
from actor import Actor
from critic import Critic
# helper function to convert numpy arrays to tensors
def t(x): return torch.tensor(x)
env = wrappers.make_env("PongNoFrameskip-v4") #,render_mode="rgb_array"
print(f"Observation s... | entangledqubit0110/Pong-RL-PLE | agents/actor_critic/train_onestep.py | train_onestep.py | py | 2,530 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "torch.tensor",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "wrappers.make_env",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "actor.Actor",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "critic.Critic",
"line_... |
9115350445 | import dateutil.parser
def read_info_file(filepath):
lines = file(filepath + ".info").readlines()
info = dict()
info["date_last_absent"] = lines[0].replace('\n', '')
if (info['date_last_absent'] == ""):
info['date_last_absent'] = None
else:
info['date_last_absent'] = dateutil.parser... | timothyyu/ml_monorepo | statarb/src/python/lib/datafiles.py | datafiles.py | py | 1,247 | python | en | code | 59 | github-code | 21 | [
{
"api_name": "dateutil.parser.parser.parse",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "dateutil.parser.parser",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "dateutil.parser",
"line_number": 10,
"usage_type": "name"
},
{
"api_name... |
8430745452 | #!/usr/bin/env python
import sys
import cv2 as cv
import numpy as np
drawing = False
ix, iy = -1, -1
img = None
color = None
flood = False
rec_size = 5
def floodify(img, color, x, y):
flags = 4
flags | 255 << 8
h, w = img.shape[:2]
mask = np.zeros((h+2, w+2), np.uint8)
cv.floodFill(img, mask, (x... | mengxx123/board2slides | occlusion.py | occlusion.py | py | 3,605 | python | en | code | null | github-code | 21 | [
{
"api_name": "numpy.zeros",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.uint8",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "cv2.floodFill",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "cv2.EVENT_LBUTTONDOWN",
... |
74336885813 | import numpy as np
import torch
import torch.nn as nn
import dgl
import os.path as osp
from copy import deepcopy
from utils import io
from model.BaseEmbeddingModel import BaseEmbeddingModel, init_emb_table
from model.module import dot_product, bpr_loss, bce_loss, cosine_contrastive_loss
from model.LightGCN import get_... | xiransong/xGCN | model/xGCN.py | xGCN.py | py | 22,262 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "torch.nn",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "torch.nn.Sequential",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "torch.nn.Sequential",... |
30921241130 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
import sys
import socket
import statistics
import threading
thread_number = 10
res_mean = [None] * thread_number
res_stdev = [None] * thread_number
class TCPClient(threading.Thread):
def __init__(self, offset, host, port):
super().__init__()
s... | yanniknoc/msca32019 | a3 - Networking/client_solution.py | client_solution.py | py | 1,515 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "threading.Thread",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "socket.socket",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "socket.AF_INET",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "socket.SOCK_S... |
41096241456 | from PyInquirer import prompt
from rich.console import Console
import startup
console = Console()
startup.startup()
want_guide = prompt(
{
"type": "input",
"name": "guided",
"message": "Do you want to use a guided creation or do you want to go unguided? (G/U)",
}
)
if... | DR4UGUR/SantasList | main.py | main.py | py | 490 | python | en | code | 8 | github-code | 21 | [
{
"api_name": "rich.console.Console",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "startup.startup",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "PyInquirer.prompt",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "startup.guided",
... |
17056900343 | import base64
import bluenrg.codes
import bluenrg.commands
import bluenrg.events
import re
import datetime
import json
import logging
import RPi.GPIO as gpio
import time
import _strptime # Attempt to avoid: Failed to import _strptime because the import lockis held by another thread
from jwcrypto import jwk, jwe
from ... | autopi-io/autopi-core | src/salt/base/ext/_engines/ble_manager.py | ble_manager.py | py | 9,042 | python | en | code | 142 | github-code | 21 | [
{
"api_name": "logging.getLogger",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "messaging.EventDrivenMessageProcessor",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "bluenrg.connection.SerialConnection",
"line_number": 32,
"usage_type": "call"
}... |
34585994910 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sat May 13 17:57:10 2017
@author: Falaize
"""
from pyphs import Graph
import numpy as np
from pyphs.dictionary.edges import DissipativeLinear, StorageLinear
from pyphs.misc.rst import equation
from pyphs.config import EPS
from ..tools import componentDoc, ... | pyphs/pyphs | pyphs/dictionary/fraccalc/fractional_integrators.py | fractional_integrators.py | py | 9,675 | python | en | code | 39 | github-code | 21 | [
{
"api_name": "pyphs.Graph",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "pyphs.Graph.__init__",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "pyphs.Graph",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "tools.parametersDefault"... |
6026202873 | from data.mri_data import SliceData, MultiSliceData
from torch.utils.data import Sampler
import math
class VolumeSampler(Sampler):
"""
Ensures each batch comes from the same volume. Used for evaluation metrics to be computed over each volume.
"""
def __init__(self, dataset, batches_per_volume=1):... | seansegal/fastMRI | data/volume_sampler.py | volume_sampler.py | py | 1,390 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "torch.utils.data.Sampler",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "math.ceil",
"line_number": 31,
"usage_type": "call"
}
] |
39498193157 | import requests
def get_token(g):
# test if token is still valid
req_uri = "https://tasks.googleapis.com/tasks/v1/users/@me/lists"
headers = {'Authorization': 'Bearer {}'.format(g['auth_token']['access_token']),
'Accept': 'application/json',
}
r = requests.get(req_uri, headers=h... | thalitadru/gtasks-todoist-sync | oauth.py | oauth.py | py | 820 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "requests.get",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_number": 17,
"usage_type": "call"
}
] |
72455377333 | from torch import nn
from typing import Literal
from typing import NamedTuple, Final
import torch
from backbone import make_layers, darknet
class Yolov1(nn.Module):
def __init__(self,classes:int,
backbone:nn.Module = make_layers(darknet,3),
split_size=7,num_boxes=2,
... | Asmail790/Yolov1 | model.py | model.py | py | 1,525 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "torch.nn.Module",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "torch.nn.Module",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line... |
32456233143 | """This module provides some basic operations that help to manipulate audio signal"""
import decimal
import numpy as np
import sklearn
def round_half_up(number):
"""Round half up a number
:param number: the number to be rounded;
:return: rounded value.
"""
rounded_value = int(decimal.Decimal(nu... | MinaevIB/Voice-Activity-Detector | utils/audio_operations.py | audio_operations.py | py | 3,419 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "decimal.Decimal",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "decimal.ROUND_HALF_UP",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "numpy.ceil",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "numpy.abs",
... |
20727190142 | import io
from operator import mod
import sys
_INPUT = """\
4
1 3
1 3
2 2
1 3
"""
sys.stdin = io.StringIO(_INPUT)
# ---------------------------------
from decimal import Decimal
n = int(input())
probs = []
for i in range(n):
a, b = map(Decimal, input().split())
probs.append((i, a / (a + b)))
probs.sort(... | makima333/Atcoder-ganbaru | contest/abc308/C.py | C.py | py | 385 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "sys.stdin",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "io.StringIO",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "decimal.Decimal",
"line_number": 24,
"usage_type": "argument"
}
] |
42235814221 | from flask import Flask, render_template
import requests
app = Flask(__name__)
@app.route("/")
def home():
blog_url = "https://api.npoint.io/e42b353ee387383898c7"
response = requests.get(blog_url)
posts = response.json()
return render_template("index.html", posts=posts)
@app.route("/about... | maryletteroa/100DaysOfCode-Python | 59/main.py | main.py | py | 758 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "flask.Flask",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
... |
29348914438 | from django.shortcuts import render
from django.http import HttpResponseRedirect
from django.shortcuts import reverse
from django import forms
from . import util
import markdown2
import random2
def index(request):
return render(request, "encyclopedia/index.html", {
"entries": util.list_entries()
})
d... | soninirav/wiki | encyclopedia/views.py | views.py | py | 2,794 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.shortcuts.render",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "django.http.HttpResponseRedirect",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.reverse",
"line_number": 20,
"usage_type": "call"
},
{
... |
37423452647 | #!/usr/bin/env python
import rospy
import math
import tf2_ros
from std_msgs.msg import Float64
import json
def logCamPos():
pass
def getMarkerState(tfBuffer, marker):
trans = None
rot = None
counter = 0
rate = rospy.Rate(100) # 100hz
while not rospy.is_shutdown():
counter += 1
... | keszegrobert/ros_robotic_arm | src/armrecog.py | armrecog.py | py | 3,350 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "rospy.Rate",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "rospy.is_shutdown",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "rospy.Time.now",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "rospy.Time",
"line_nu... |
10106074758 |
from utils.http import HttpClient
from settings.loader import load_config_file
cnf = load_config_file()
def base_url():
process_memory = cnf["process_memory"]
return f"{process_memory['scheme']}://{process_memory['host']}:{process_memory['port']}"
def save_document(collection, data):
url = base_url()
... | fernandocandrade/Plataforma-Domain | Platform.App/python-template/sdk/process_memory.py | process_memory.py | py | 898 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "settings.loader.load_config_file",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "utils.http.HttpClient",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "utils.http.HttpClient",
"line_number": 22,
"usage_type": "call"
},
{
"api_n... |
8419159618 | #!/usr/bin/env python
import ROOT
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("basename", help="basename of fit file to extract discontinuities from")
parser.add_argument("poi", help="parameter to find discontinuities in")
args = parser.parse_args()
systematics = ['CERR1','CERR2','CMS_eff_e... | TopEFT/EFTFit | Fitter/scripts/DiscontinuityFinder.py | DiscontinuityFinder.py | py | 2,339 | python | en | code | 3 | github-code | 21 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "ROOT.TFile.Open",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "ROOT.TFile",
"line_number": 18,
"usage_type": "attribute"
}
] |
9097800971 | import numpy as np
import tensorflow as tf
from abc import ABC, abstractmethod
from typing import List
from secretflow.security.privacy.accounting.rdp_accountant import (
get_rdp,
get_privacy_spent_rdp,
)
from secretflow.security.privacy.accounting.gdp_accountant import (
cal_mu_poisson,
cal_mu_unifor... | primihub/hackathon | winning-project/Vpcdap/code/隐私求交/PSI/secretflow/security/privacy/mechanism/tensorflow/layers.py | layers.py | py | 5,541 | python | en | code | 18 | github-code | 21 | [
{
"api_name": "tensorflow.keras",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "abc.ABC",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "abc.abstractmethod",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "tensorflow.keras.lay... |
13287933191 | # -*- coding: utf-8 -*-
"""
Created on Thu Sep 6 16:49:20 2018
@author: Razib
"""
import numpy as np
from helper_analysis import *
from matplotlib.colors import LogNorm
import math as ma
import glob
from multicore_Part1_def_simpleKER_HoHoCN import SingleThread
import matplotlib.pyplot as plt
if __name__ == '__mai... | raphaelphys/Analysis-for-ALS | multicore_Part2_ana_simpleKER_HoHoCN.py | multicore_Part2_ana_simpleKER_HoHoCN.py | py | 8,710 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "glob.glob",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "numpy.fromfile",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 69,
"usage_type": "call"
},
{
"api_name": "multiprocessing.Pool",
"line... |
25160189181 | #!/usr/bin/env python2
# -*- coding: utf-8 -*-
"""
Created on Mon Dec 2 7:01:25 2017
@author: Yann Vernaz
"""
# utilitaires pour le Meetup ML Pau
import os
import csv
import numpy as np
from random import sample
import itertools
import matplotlib.pyplot as plt
def data_generate(fileName='data.csv', w=[1., 2., -1], ... | machine-learning-pau/distributed-optimization | utilsLab1.py | utilsLab1.py | py | 11,587 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "numpy.random.normal",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 37,
"usage_type": "attribute"
},
{
"api_name": "numpy.random.normal",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "numpy.rando... |
4437510565 | import cv2 as cv
import matplotlib
import matplotlib.pyplot as plt
import numpy as np
from fire import Fire
def get_keypoint_mesh(length=105, width=76):
nx, ny = (13, 8)
x = np.linspace(0, length, nx)
y = np.linspace(0, width, ny)
xv, yv = np.meshgrid(x, y, indexing="ij")
xv = xv.flatten()
y... | AtomScott/homography-estimation | scripts/draw_keypoints.py | draw_keypoints.py | py | 979 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "numpy.linspace",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.linspace",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.meshgrid",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.load",
"line_n... |
13415762165 | from sqlalchemy import Column, DateTime, Float, Integer
import vigorish.database as db
from vigorish.util.datetime_util import utc_now
class TimeBetweenPitches(db.Base):
__tablename__ = "time_between_pitches"
id = Column(Integer, primary_key=True)
between_pitches_sample_size = Column(Integer, default=0)... | a-luna/vigorish | src/vigorish/models/time_between_pitches.py | time_between_pitches.py | py | 4,220 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "vigorish.database.Base",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "vigorish.database",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "sqlalch... |
5268626236 |
# adapted from https://pytorch.org/tutorials/beginner/pytorch_with_examples.html
import numpy as np
import matplotlib.pyplot as plt
# Create random input and output data
x = np.linspace(-np.pi, np.pi, 2000)
y_true = np.sin(x)
# Random initialization
a = np.random.randn()
b = np.random.randn()
c = np.random.randn()... | mmbahnasy/NeuralNetworkTutorial | function_approximation.py | function_approximation.py | py | 1,482 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "numpy.linspace",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.pi",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "numpy.sin",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.random.randn",
"line_nu... |
40365349534 | from datetime import datetime, timedelta, date
from functools import partial
from itertools import groupby
from dateutil.relativedelta import relativedelta
from odoo import api, fields, models, _
from odoo.exceptions import UserError, ValidationError
from odoo.tools.misc import formatLang
from odoo.osv import expressi... | omikronkreatif/Kanjabungnew | asa_simpin_syariah/models/syariah_pembiayaan.py | syariah_pembiayaan.py | py | 108,290 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "odoo.models.Model",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "odoo.models",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "odoo.fields.Many2one",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "odoo.fields",... |
1335292271 | from collections import deque
def solution(prices):
prices = deque(prices)
answer = []
while prices:
count = 0
current_price = prices.popleft()
for next_price in prices:
if current_price <= next_price:
count += 1
count += 1
break
... | konsent/coding_test_python | week_03/00_queue.py | 00_queue.py | py | 627 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "collections.deque",
"line_number": 4,
"usage_type": "call"
}
] |
4927128225 | import requests
from bs4 import BeautifulSoup as bs
from linebot.models import *
from linebot import LineBotApi
from config import *
from quick_message import *
from User import *
# SPEECH NWES BOT
feng_chia_url = "https://www.iecs.fcu.edu.tw/"
url = "https://www.iecs.fcu.edu.tw/news/?category=speech"
dash = "---------... | mengxian0913/Line-bot | speech.py | speech.py | py | 2,538 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "requests.get",
"line_number": 68,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 69,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 86,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"... |
25945497021 | from fakts.discovery.beacon import advertise, retrieve_bindings
from fakts.discovery.base import FaktsEndpoint
import asyncio
from fakts.discovery.advertised import alisten, ListenBinding
import pytest
@pytest.mark.network
def test_can_retrieve_bindings():
bindings = retrieve_bindings()
assert len(bindings) >... | jhnnsrs/fakts | tests/test_send_and_receive.py | test_send_and_receive.py | py | 1,722 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "fakts.discovery.beacon.retrieve_bindings",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pytest.mark",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "fakts.discovery.beacon.retrieve_bindings",
"line_number": 17,
"usage_type": "cal... |
31941813595 | import torch
import torch.nn as nn
from torch.utils.data import DataLoader
import torchvision
import torchvision.models as models
import torchvision.transforms as transforms
import os
import copy
import random
import argparse
from utils import *
def eval(data_loader, model, topk=(1,), device=None, print_freq=10):
... | BingoH/MFTC | random_select.py | random_select.py | py | 6,191 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "torch.zeros",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "torch.nn.DataParallel",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "torch.no_grad",
"line_... |
27086815516 | import pandas as pd
import os
from section_parameters.SectionParametersE6 import SectionParametersE6
from modules.FilesAndDates import FilesAndDates
from modules.FrostDepthPlot import FrostDepthPlot
from modules.FigureFormatting import FigureFormatting
from modules.AnimatorPlots import AnimatorPlots
from modules.Freezi... | reeksts/VegDim_test_site_frost_analysis | main.py | main.py | py | 3,795 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "section_parameters.SectionParametersE6",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "section_parameters.SectionParametersE6.SectionParametersE6",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "testsite_data.TestsiteDataE6.SampleDataE6",
... |
20235197303 | import numpy as np
import matplotlib.pyplot as plt
n = 20
p = np.zeros(n)
r = np.arange(0,4.0,0.005)
ra = np.arange(0,n,1)
on = np.ones(n);
for m in r:
r = m
p = np.zeros(n)
p[0] = 0.2
for i in range(0,n-1):
p[i + 1] = r*p[i]*(1-p[i])
ant = int((n/2)-1)
dep = int(n-1)
My_rango = p[ant:dep]
my_set = se... | 6arlos6/Logistic-map-chaotic-behaviour- | CAOS.py | CAOS.py | py | 447 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "numpy.zeros",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.ones",
"line_number": 8,... |
73451075894 | from discord.ext import commands
import discord
import datetime
class Example(commands.Cog):
def __init__(self, bot):
self.bot = bot
@staticmethod
def example_check(ctx):
return ctx.author.id in [1234, 7328]
@commands.command(name='decorators', enabled=False)
@commands.cooldown(... | LolRiTTeR/LolRiTTeRBot | cogs/example.py | example.py | py | 1,587 | python | en | code | 5 | github-code | 21 | [
{
"api_name": "discord.ext.commands.Cog",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "discord.ext.commands",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "discord.ext.commands.command",
"line_number": 15,
"usage_type": "call"
},
{
"api... |
13047608585 | from cavachon.config.config_mapping.AnalysisAttributionScoreConfig import AnalysisAttributionScoreConfig
from cavachon.config.config_mapping.ConfigMapping import ConfigMapping
from cavachon.utils.GeneralUtils import GeneralUtils
from typing import Any, List, Mapping
class AnalysisConfig(ConfigMapping):
"""AnalysisCo... | dn070017/CAVACHON | cavachon/config/config_mapping/AnalysisConfig.py | AnalysisConfig.py | py | 3,034 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "cavachon.config.config_mapping.ConfigMapping.ConfigMapping",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "typing.Mapping",
"line_number": 34,
"usage_type": "name"
},
{
"api_name": "typing.Any",
"line_number": 34,
"usage_type": "name"
},
{
... |
32122441800 | #! /usr/bin/env python
# -*- coding: utf-8 -*-
from flask import Flask, request
import json
import os
from datetime import datetime, timedelta
import logging
import logging.handlers
#import end
# configure log
LOG_FILE = "gitlab-receiver.log"
handler = logging.handlers.RotatingFileHandler(LOG_FILE, maxBy... | jiebers/Py | web_hooks.py | web_hooks.py | py | 1,102 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "logging.handlers.RotatingFileHandler",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "logging.handlers",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "logging.Formatter",
"line_number": 16,
"usage_type": "call"
},
{
"api_... |
28098008032 | from django.shortcuts import render
import requests
import json
from django.http import HttpResponseRedirect
from .forms import NameForm
from .weather import Weather
#Afficher les données météo à partir de l'id de la ville
def weather(request, city_id):
weather1=Weather(city_id)
weather1.retriveWeathInfo()
... | emmanuelderevel/g4meteo | meteo/city/views.py | views.py | py | 1,269 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "weather.Weather",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "forms.NameForm",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "json.load",
... |
25338041220 | import datetime
import pytz
from celery import states
from django.core import mail
from django.template.loader import render_to_string
from django.test import TestCase, override_settings
from freezegun import freeze_time
from menus.factories import DishFactory, UserFactory
from menus.models import Dish
from menus.task... | dzbrozek/emenu-api | emenuapi/menus/tests/test_tasks.py | test_tasks.py | py | 3,078 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.test.TestCase",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "menus.tasks.report_dishes.apply",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "menus.tasks.report_dishes",
"line_number": 16,
"usage_type": "name"
},
{
"ap... |
2699630598 | import matplotlib.pyplot as plt
import numpy as np
from random import randint
l = []
n = 0
l2 = []
while n <20000:
n += 1000
l.append(n)
l2.append(randint(1,9))
lis = np.array(l)
lis2 = np.array(l2)
plt.plot(lis, lis2)
plt.ylabel('tamanho da metrix')
plt.xlabel('numero de interações')
plt.show()
| raphapinho/resolu--oSistemasLineares | test.py | test.py | py | 316 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "random.randint",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.plot",
"... |
14854941754 | import numpy as np
from sklearn.metrics import *
from sklearn.svm import LinearSVR
from sklearn.linear_model import LogisticRegression, SGDClassifier, SGDRegressor,LinearRegression
from utils import *
from variables import *
def get_model(X_train,Y_train):
model = LogisticRegression(penalty='l2',C=1.0,n_jobs=-1)
... | navreeetkaur/Sentiment-Classification | predict.py | predict.py | py | 1,259 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "sklearn.linear_model.LogisticRegression",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "sklearn.linear_model.LogisticRegression",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "sklearn.linear_model.SGDRegressor",
"line_number": 25,
"u... |
11831895457 | import httplib
import urllib
import time
import hashlib
import json
API_SECRET = "{A130BFEE-EEF0-4733-9064-17FAFC341F26}"
API_HOST = "m.grupaluxmed.pl"
API_BASE_URL = "/PatientPortalProxyBE/api/"
# x-api request headers
X_API_VERSION = "2"
X_API_CLIENT = "client_android"
X_API_LANG = "pl"
class Luxmed:
def __in... | filipduch/luxmedAPI | luxmed.py | luxmed.py | py | 5,209 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "urllib.urlencode",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "httplib.HTTPSConnection",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "httplib.OK",
"line_number": 40,
"usage_type": "attribute"
},
{
"api_name": "json.loads",... |
34319762753 | import gensim
from gensim import corpora
from gensim.models.lsimodel import LsiModel
import plotly.express as px
import pandas as pd
with open('transcript.txt', 'r') as file:
text_data = file.read()
#segment text into sentences
text_data = text_data.split('.')
print(text_data)
# Tokenize the text data
tokenized_t... | advaitpaliwal/NotesAI | test/test2.py | test2.py | py | 1,246 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "gensim.utils.simple_preprocess",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "gensim.utils",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "gensim.parsing",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "... |
75038657013 | import csv
import numpy
import re
from typing import List, Dict, Optional
EmojiSentimentDict = Dict[int, numpy.ndarray]
EMOJI_SENTIMENT_MAPPING_FILE = "emoji_sentiment_mapping.csv"
EMOJI_REGEX = re.compile(
"["
"\U0001F1E0-\U0001F1FF" # flags (iOS)
"\U0001F300-\U0001F5FF" # symbols & pictographs
"\... | lukastrm/csa-data | csadata/emoji.py | emoji.py | py | 4,098 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "typing.Dict",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "numpy.ndarray",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "re.compile",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "importlib.resources.open_text... |
22166985744 | import json
class CalculatePopularity():
def __init__(self, runTime, file='liveStream.json'):
self.runTime = runTime
self.fname = file
def calculateScore(self):
self.totalTweets = 0
self.retweetCount = 0
self.likes_score = []
self.followers_score = []
w... | AparaV/Twitter-Analysis | calculatePopularity.py | calculatePopularity.py | py | 2,225 | python | en | code | 5 | github-code | 21 | [
{
"api_name": "json.loads",
"line_number": 17,
"usage_type": "call"
}
] |
11490268230 | import torch
import torch.nn as nn
import torchvision.models as models
from torch.autograd import Variable
import torch.nn.functional as F
import numpy as np
class EncoderCNN(nn.Module):
def __init__(self, embed_size):
super(EncoderCNN, self).__init__()
# Resnet
resnet = models.resnet50(... | supracharger/AI-Computer-Vision-Master | P2_Image_Captioning/model.py | model.py | py | 6,215 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "torch.nn.Module",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "torchvision.models.resnet50",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "torchvision.m... |
24023150222 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from django.utils.unittest import skipUnless
from django.test import TestCase
from django_hadoop.models import CommonJob
from django_hadoop.runner import LocalJobRunner, RestJobRunner
from django_hadoop import RUNNING, COMPLETED, HADOOP_JOB_CMD, JOB_MANAGER_CLASS
JOB_RU... | Obie-Wan/django_hadoop | django_hadoop/tests.py | tests.py | py | 2,395 | python | en | code | 20 | github-code | 21 | [
{
"api_name": "django_hadoop.JOB_MANAGER_CLASS.get_runner",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "django_hadoop.JOB_MANAGER_CLASS",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "django.test.TestCase",
"line_number": 17,
"usage_type": "name"... |
6066921571 | import sys
import random
import matplotlib
matplotlib.use('Qt5Agg')
from PySide6 import QtCore, QtWidgets, QtGui
from matplotlib.backends.backend_qt5agg import FigureCanvasQTAgg as FigureCanvas
from matplotlib.figure import Figure
from mpl_toolkits.basemap import Basemap
class MplCanvas(FigureCanvas):
def __in... | neuromorphs/NeuroP | examples/tsp_demo/tsp_demo.py | tsp_demo.py | py | 4,880 | python | en | code | 5 | github-code | 21 | [
{
"api_name": "matplotlib.use",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "matplotlib.backends.backend_qt5agg.FigureCanvasQTAgg",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "matplotlib.figure.Figure",
"line_number": 16,
"usage_type": "call"
}... |
73035233973 | """utils.py
Utility functions for Fauxmo.
"""
import socket
from fauxmo import logger
import uuid
def get_local_ip(ip_address):
"""Attempt to get the local network-connected IP address"""
if ip_address is None or ip_address.lower() == "auto":
logger.debug("Attempting to get IP address automatically... | LiuFang816/SALSTM_py_data | python/n8henrie_fauxmo/fauxmo-master/src/fauxmo/utils.py | utils.py | py | 1,176 | python | en | code | 9 | github-code | 21 | [
{
"api_name": "fauxmo.logger.debug",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "fauxmo.logger",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "socket.gethostname",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "socket.gethostby... |
14635402782 | """
Pre-Processing Script
Function takes as input *only* pandas series objects and performs various pre-processing steps
Pre-processing functions available include
1. Remove Numbers
2. Remove Roman Numbers
3. Tf-Idf Weighting
Restrict the corpus to only words that have tf-idf values more than a specified threshold
4. ... | nogibjj/esg-controversy-tracker | pre_processing_scripts/pre_processing.py | pre_processing.py | py | 3,561 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "nltk.stem.PorterStemmer",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "nltk.tokenize.WhitespaceTokenizer",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "sklearn.feature_extraction.text.TfidfVectorizer",
"line_number": 37,
"usage_typ... |
21404244230 | import requests
from flask import jsonify
user_data = jsonify({
'surname': 'a',
'name': 'b',
'age': 87,
'position': 'captain',
'speciality': None,
'address': None,
'email': 'po@inf.rr',
... | dariapotapova/restful | tests/test3.py | test3.py | py | 1,113 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "flask.jsonify",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_numbe... |
21616886035 | from celery import Celery
from datetime import timedelta
from elasticsearch import Elasticsearch
__all__ = (
'app',
)
CONFIG = {
'broker': 'amqp://guest@localhost//'
}
app = Celery('tasks',
backend='amqp',
broker=CONFIG['broker'],
include=['tasks.twitter_tasks'])
# Giv... | randonia/bouzouki | src/tasks/task_queue.py | task_queue.py | py | 540 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "celery.Celery",
"line_number": 13,
"usage_type": "call"
}
] |
27367291146 | import os
from PIL import Image
# Chemin du dossier contenant les images d'origine
dossier_source = "/Users/adeleimparato/Documents/Montpellier/UM/Semestre3/Image_Secu_DeepLearning/ProjetImage_M2/Code/img_align_celeba"
# Chemin du dossier de destination pour les images converties
dossier_destination = "/Users/adeleim... | Adeleimpa/ProjetImage_M2 | Code/data_convert.py | data_convert.py | py | 1,555 | python | fr | code | 0 | github-code | 21 | [
{
"api_name": "os.path.exists",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "os.makedirs",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number... |
31353265893 | #Given: At most 15 UniProt Protein Database access IDs
#Return: For each protein possessing N-glycosylation motif, output its given access ID followed by list of locations in protein string where motif can be found
#N-glycosylation motif: N{P}[ST]{P}
#[] = either/or, {} = any except
from urllib.request import u... | agolikova/Rosalind-Bioinformatics-Solutions | Code/MPRT_Finding a protein motif.py | MPRT_Finding a protein motif.py | py | 1,843 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "urllib.request.urlopen",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "Bio.SeqIO.parse",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "Bio.SeqIO",
"li... |
73704559411 | # E-mail
import smtplib
import time
from email.mime.text import MIMEText
import email.utils
from password import mail_info
class send_message:
def __init__(self, to_mail, title= '제목을 입력해주세요', msg= '내용을 입력해주세요'):
self.to_mail = to_mail
self.title = title
self.msg = msg
self.__confi... | applewoods/before_and_after_COVID19 | crawler/send_mail.py | send_mail.py | py | 783 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "password.mail_info",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "smtplib.SMTP_SSL",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "email.mime.text.MIMEText",
"line_number": 21,
"usage_type": "call"
}
] |
70642763574 | import cv2
import pandas as pd
import numpy as np
import json
from collections import namedtuple
def get_namedtuple_from_json_string(line):
return json.loads(line, object_hook=lambda d: namedtuple('stuff', d.keys())(*d.values()))
class TrainingFileReader:
def __init__(self, path_to_training="../training/"):... | enliktjioe/deltax | RCSnail-AI-lite/src/learning/training/training_file_reader.py | training_file_reader.py | py | 1,400 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "json.loads",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "collections.namedtuple",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "cv2.VideoCapture",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "cv2.waitKey",
"l... |
30213133516 | from django.test import TestCase
from django.contrib.auth.models import User
from api.models import Store, Section, Product
class TestCreateProduct(TestCase):
@classmethod
def setUpTestData(cls):
test_store = Store.objects.create(
name='testName123',
contacts='TestContacts',
... | Hr-kutsarov/DYI-store | api/tests.py | tests.py | py | 2,138 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.test.TestCase",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "api.models.Store.objects.create",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "api.models.Store.objects",
"line_number": 9,
"usage_type": "attribute"
},
{
"a... |
23324151025 | from datetime import datetime
from typing import Union, Optional, List
from aiogram.types import CallbackQuery
from aiogram.utils.exceptions import BadRequest
from functions.event.templates_messages import ME
from loader import bot, _
from utils.db_api import db_commands
async def add_events_to_user(call: CallbackQ... | DavidRomanovizc/DatingBot | functions/event/extra_features.py | extra_features.py | py | 3,901 | python | en | code | 87 | github-code | 21 | [
{
"api_name": "aiogram.types.CallbackQuery",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "utils.db_api.db_commands.select_user",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "utils.db_api.db_commands",
"line_number": 16,
"usage_type": "name"
},
... |
10415128948 | import sys
import os.path
import argparse
import getpass
from typing import Union, NoReturn
from .interface import SQLiteFileInterface
from .core import AsymKey, CryptoHandler
class SQLiteCLI:
def __init__(
self,
filename: str,
asym_key_public: Union[None, str] = None,
... | matthiashuschle/cryp-to-go | cryp_to_go/cli.py | cli.py | py | 5,608 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "typing.Union",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "typing.Union",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "os.path.path.exists",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path.path",
"lin... |
34018687365 | from setuptools import setup
import os
with open(os.path.join(os.path.dirname(__file__), 'README.md')) as f:
README = f.read()
setup(
name='tracer',
version='0.1.0',
author='weak_ptr',
author_email='weak_ptr@163.com',
url='https://github.com/nnnewb/tracer',
py_modules=['tracer'],
keywo... | nnnewb/tracer | setup.py | setup.py | py | 454 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "os.path.join",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "setuptools.setup",
"line_n... |
75057107251 | from rest_framework import serializers
from api.models import Location
from django.contrib.auth.models import User
'''Example of Regular Serializer
class LocationSerializer(serializers.Serializer):
pk = serializers.IntegerField(read_only=True)
name = serializers.CharField(required=True, allow_blank=False, max_... | jonathanmeier5/kpi_tracker | api/serializers.py | serializers.py | py | 1,745 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "rest_framework.serializers.ModelSerializer",
"line_number": 34,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.serializers",
"line_number": 34,
"usage_type": "name"
},
{
"api_name": "rest_framework.serializers.ReadOnlyField",
"line_number": 35,
... |
26134447916 | from django.urls import path
from django.contrib import admin
from . import views
app_name = 'accounts'
urlpatterns = [
path('userinfo/', views.userinfo, name='userinfo'),
path('signup/', views.SignUpView.as_view(), name='signup'),
path('login/', views.LoginView.as_view(), name='login'),
path('logout/... | abubaman/MLift | accounts/urls.py | urls.py | py | 654 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.urls.path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
33863805062 | import ffmpeg
import file_util
PRESENTATION_TIMESTAMPS = "PTS-STARTPTS"
MP4 = 'mp4'
MP3 = 'mp3'
ALLOWED_MEDIA_TYPES = [MP3, MP4]
@staticmethod
def trim_media(input_file, start_seconds, end_seconds, mediatype):
if mediatype not in ALLOWED_MEDIA_TYPES:
raise TypeError(f"Only trimming {ALLOWED_MEDIA_TYPES} ... | PietroSassone/youtube-downloader-desktop-app | youtube_downloader/util/media_trimmer.py | media_trimmer.py | py | 1,241 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "file_util.delete_file_if_exists",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "ffmpeg.input",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "ffmpeg.concat",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "ffmpeg.out... |
25689804368 | from PyQt5.QtWidgets import (QLabel)
from PyQt5.QtCore import (Qt, QRect)
from PyQt5.QtGui import (QPainter, QFont, QFontMetricsF, QBrush)
from .TMessageLabel import TMessageLabel
from .PicBase64 import get
class TMessage(QLabel):
'单条消息'
def __init__(self, massage, rwidth, parent=None):
super(TMessage... | Drelf2018/Liter | Liter_Client/TMessage.py | TMessage.py | py | 2,681 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "PyQt5.QtWidgets.QLabel",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "TMessageLabel.TMessageLabel",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "PicBase64.get",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "PyQt5... |
202917858 | import numpy as np
import matplotlib.pyplot as plt
from sklearn.metrics import roc_auc_score, precision_score, recall_score, accuracy_score
from sklearn.model_selection import train_test_split
import torch
import torch
import torch.nn as nn
import torch.optim as optim
from torch.autograd import Variable
import torch.n... | MatthewK3023/EEG-Classification | EEG_Classification.py | EEG_Classification.py | py | 8,552 | python | en | code | 11 | github-code | 21 | [
{
"api_name": "os.environ",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "torch.cuda.set_device",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "warnings.filter... |
12592915377 | # python align.py --camera=nikon --focal_length=21
import argparse
import glob
import tqdm
import os
import os.path as op
import json
import rawpy
import numpy as np
import cv2
from skimage.exposure import match_histograms, equalize_hist
import skimage.filters
import datetime
import time
import copy
import pickle
... | igor-morawski/reverse-undistortion | align.py | align.py | py | 10,045 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "rawpy.imread",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "numpy.expand_dims",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "numpy.concatenate",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "rawpy.imread",
"... |
33257530258 | import pandas as pd
import numpy as np
import shutil, os, functools, itertools
import multiprocessing as mp
def read_bedgraph(bg_file):
df = []
with open(bg_file, 'r') as bgf:
lines = bgf.readlines()
for i in range(len(lines)):
if i!=0:
tl = lines[i].split('\t')
tl[... | mehdiforoozandeh/SAGAconf | _utils.py | _utils.py | py | 12,323 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "pandas.DataFrame",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.system",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "os.system",
"line_number": ... |
13375949991 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
import yaml
import numpy as np
from easydict import EasyDict as edict
config = edict()
config.OUTPUT_DIR = 'output'
config.LOG_DIR = 'log'
config.DATA_DIR = ''
config.BACKBONE_MODEL = 'pose_resnet'... | sail-sg/mvp | lib/core/config.py | config.py | py | 10,991 | python | en | code | 296 | github-code | 21 | [
{
"api_name": "easydict.EasyDict",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "easydict.EasyDict",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "easydict.EasyDict",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "easydict.EasyDi... |
27738306615 | import streamlit as st
from PIL import Image
import numpy as np
import tensorflow as tf
from tensorflow import keras
st.title("Fashion Classifier")
uploaded_file = st.file_uploader("Choose an square image file", type=["jpg", "png"])
model = keras.models.load_model("CNN_model_2.h5")
labels = ['T-shirt', 'Trous... | kyle-paul/Fashion-Classifier | app.py | app.py | py | 783 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "streamlit.title",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "streamlit.file_uploader",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "tensorflow.keras.models.load_model",
"line_number": 9,
"usage_type": "call"
},
{
"api_name"... |
14699048093 | """
Example code inspired in scrpay tutorial powered by Elias Dorneles
http://pythonclub.com.br/material-do-tutorial-web-scraping-na-nuvem.html
"""
import scrapy
class QuoteSpiderXpath(scrapy.Spider):
name = "quotes-xpath"
start_urls = ("http://spidyquotes.herokuapp.com/tableful/",)
download_delay = 1.... | n1lux/scrapy-basic | quote_spyder_xpath.py | quote_spyder_xpath.py | py | 857 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "scrapy.Spider",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "scrapy.Request",
"line_number": 25,
"usage_type": "call"
}
] |
4734518843 | from kivy.uix.modalview import ModalView
from kivy.uix.button import Button
from kivy.uix.boxlayout import BoxLayout
from kivy.lang.builder import Builder
from global_variables import WINDOW
from sqlite_requests import db
Builder.load_file(r'treasure_cave_game/level_constructor.kv')
class ConstructField(ModalView):
... | snckmykek/game | treasure_cave_game/level_constructor.py | level_constructor.py | py | 9,096 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "kivy.lang.builder.Builder.load_file",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "kivy.lang.builder.Builder",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "kivy.uix.modalview.ModalView",
"line_number": 11,
"usage_type": "name"
},
... |
1449286232 | import scrapy
from scrapy_playwright.page import PageCoroutine
class JoshSpider(scrapy.Spider):
name = 'josh'
def start_requests(self):
yield scrapy.Request('https://shop.mango.com/gb/women/skirts-midi/midi-satin-skirt_17042020.html?c=99',
meta=dict(
... | NickKarakov/Edited_project | edited/edited/spiders/josh.py | josh.py | py | 1,104 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "scrapy.Spider",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "scrapy.Request",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "scrapy_playwright.page.PageCoroutine",
"line_number": 14,
"usage_type": "call"
}
] |
73036805493 | import numpy as np
import theano
from theano.tests import unittest_tools as utt
from pymc3.math import LogDet, logdet
from .helpers import SeededTest
class TestLogDet(SeededTest):
def setUp(self):
utt.seed_rng()
self.op_class = LogDet
self.op = logdet
def validate(self, input_mat):
... | LiuFang816/SALSTM_py_data | python/pymc-devs_pymc3/pymc3-master/pymc3/tests/test_math.py | test_math.py | py | 1,037 | python | en | code | 9 | github-code | 21 | [
{
"api_name": "helpers.SeededTest",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "theano.tests.unittest_tools.seed_rng",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "theano.tests.unittest_tools",
"line_number": 10,
"usage_type": "name"
},
{
... |
33495014210 | import re
from psycopg2.policies import ClusterAwareLoadBalancer,TopologyAwareLoadBalancer
class LoadBalanceProperties:
CONNECTION_MANAGER_MAP = {}
placements = ''
SIMPLE_LB = 'simple'
refreshInterval = -1
failed_host_ttl_seconds = -1
def __init__(self, dsn, **kwargs):
self.SIMPLE_LB =... | yugabyte/psycopg2 | lib/loadbalanceproperties.py | loadbalanceproperties.py | py | 4,656 | python | en | code | null | github-code | 21 | [
{
"api_name": "re.compile",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 60,
... |
43253677852 | # Import required libraries
import speech_recognition as sr
import os
import time
import openai
import boto3
from dotenv import load_dotenv
from playsound import playsound
load_dotenv()
# Configure OpenAI API key and model engine
openai.api_key = os.environ.get('OPENAI_API_KEY')
# Initialize AWS Polly client
polly_c... | IkuStudies/Genie_GPT | junggpt.py | junggpt.py | py | 3,019 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "dotenv.load_dotenv",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "openai.api_key",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "os.environ.get",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.environ",
... |
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