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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
16275076473 | import json
import sys
import argparse
import os
APPROX = 0.1
def isNumber(num):
isNum = False
try:
float(num)
isNum = True
except Exception as e:
isNum = False
return isNum
nameList = list()
def compareAny(self, other):
diff = list()
for att in self.attScalarList:
... | Priyankajaiswalintel/gramine | latest/bin64/gma/MAAT/compare.py | compare.py | py | 10,364 | python | en | code | null | github-code | 36 | [
{
"api_name": "json.load",
"line_number": 206,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 210,
"usage_type": "call"
},
{
"api_name": "os.path.isdir",
"line_number": 253,
"usage_type": "call"
},
{
"api_name": "os.path",
"lin... |
23268928678 | #import sys, os
#sys.path.append(os.path.abspath(""))
from functionsDB.ConnectionDB import abrirconexion, cerrarconexion
from functionsDB.entity.comentario import Comentario
from datetime import datetime
def altacomentario(comentario):
cur,con = abrirconexion()
sql = "insert into comentario(fecha,hora,conteni... | exegonzalez/Taller-de-Integracion | App/src/functionsDB/ABMComentario.py | ABMComentario.py | py | 2,295 | python | es | code | 1 | github-code | 36 | [
{
"api_name": "functionsDB.ConnectionDB.abrirconexion",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "functionsDB.ConnectionDB.cerrarconexion",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "functionsDB.ConnectionDB.abrirconexion",
"line_number": 15,
... |
2762523271 | from flask import Flask, request, abort
from linebot import (
LineBotApi, WebhookHandler
)
from linebot.exceptions import (
InvalidSignatureError
)
from linebot.models import (
MessageEvent, TextMessage, TextSendMessage,
)
app = Flask(__name__)
line_bot_api = LineBotApi('1l6c8hOlVNiLh23YRFrdl1TxJxK4KUZpp... | vacharich1/testme | bot_test.py | bot_test.py | py | 1,126 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "flask.Flask",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "linebot.LineBotApi",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "linebot.WebhookHandler",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "flask.request.h... |
15672169459 | from datetime import datetime
import logging
logging.getLogger().setLevel(logging.INFO)
logging.getLogger('discord').setLevel(logging.INFO)
dt_fmt = '%Y-%m-%d %H:%M:%S'
logging.basicConfig(format='[{asctime}] [{levelname:<8}] [{name:<15}]: {message}',
style='{',
datefmt='%Y-%m-... | nERD8932/LVSF1Bot | scripts/f1module.py | f1module.py | py | 4,985 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "logging.getLogger",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
... |
150466023 | from django.shortcuts import render, get_object_or_404
from django.http import HttpResponse, HttpResponseRedirect
from django.urls import reverse, reverse_lazy
from django.views import generic
from django.views import View
from django.views.generic.edit import CreateView, UpdateView, DeleteView
from .models import Pla... | edbranson/scorekeeping | scorekeeping/play/views.py | views.py | py | 3,501 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "django.views.View",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "play.forms.PlayCreateForm",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "play.forms",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "models.Play",
... |
1467605788 | # from PIL import Image
#
# def abrirImagem():
# im = Image.open("sample-image.png")
#
#
import csv
import sqlite3
from PIL import Image
def abrir_imagem(imagem):
#im = Image.open("sample-image.png")
im = Image.open(imagem)
im.show()
def consultar_imagem(item):
try:
con ... | marcelocaon/gerador_catalogo_produtos | main.py | main.py | py | 9,572 | python | pt | code | 1 | github-code | 36 | [
{
"api_name": "PIL.Image.open",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "sqlite3.connect",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "sqlite3.Error",
"line_nu... |
18515443128 | from sets import Set
from collections import defaultdict
class MagicDictionary(object):
def __init__(self):
"""
Initialize your data structure here.
"""
def buildDict(self, dict):
"""
Build a dictionary through a list of words
:type dict: List[str]
:rtyp... | jimmy623/LeetCode | Solutions/Implement Magic Dictionary.py | Implement Magic Dictionary.py | py | 1,413 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "collections.defaultdict",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "sets.Set",
"line_number": 17,
"usage_type": "call"
}
] |
2521012317 | import configparser
import html
from pathlib import Path
from pprint import pformat
from urllib.parse import urlparse
import boto3
import botocore.model
import botocore.utils
from IPython.core.display import HTML
from jinja2 import Environment, FileSystemLoader
from pygments import highlight
from pygments.formatters i... | kernelpanek/jupyterlab-starter-notebooks | helper/aws_functions.py | aws_functions.py | py | 6,575 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "configparser.ConfigParser",
"line_number": 78,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 79,
"usage_type": "call"
},
{
"api_name": "boto3.session.Session",
"line_number": 91,
"usage_type": "call"
},
{
"api_name": "boto3.se... |
22265028586 | from mensajes import separador_chats
from usuarios import inicio_sesion
from parametros import VOLVER_FRASE, ABANDONAR_FRASE
from datetime import datetime, date
def lista_grupos():
#lee el archivo
with open('grupos.csv', 'rt') as archivo_grupos:
lista_grupos = archivo_grupos.readlines()
for x in ra... | Alzvil/IIC2233-Progra-Avanzada-Tareas-2021-1 | Tareas/T0/grupos.py | grupos.py | py | 6,884 | python | es | code | 0 | github-code | 36 | [
{
"api_name": "mensajes.separador_chats",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 73,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 73,
"usage_type": "name"
},
{
"api_name": "date... |
29403005622 | import rooms
import asyncio
from asgiref.sync import async_to_sync
import json as encoder
class WebsocketFireClass():
@async_to_sync
async def new_chat_message(self, state):
encoded_state = encoder.dumps({'type': 'new_chat_message', 'data': state})
print("NEW CHAT MESSAGE, START FIRING...")
... | anotherrandomnickname/ffms-websocket-py | wsfire.py | wsfire.py | py | 532 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "json.dumps",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "rooms.chat",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "asyncio.wait",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "rooms.chat",
"line_number... |
17774181352 | from rest_framework.permissions import BasePermission
from noticeboard.utils.notices import (
user_allowed_banners,
has_super_upload_right,
)
class IsUploader(BasePermission):
"""
A custom Django REST permission layer to check authorization
over different actions on notices.
"""
def has_... | IMGIITRoorkee/omniport-app-noticeboard | permissions/uploader.py | uploader.py | py | 1,591 | python | en | code | 6 | github-code | 36 | [
{
"api_name": "rest_framework.permissions.BasePermission",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "noticeboard.utils.notices.user_allowed_banners",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "noticeboard.utils.notices.has_super_upload_right",
"l... |
939034143 | from datetime import datetime
from src.app import db, app
import uuid
from src.models.mixins import BaseMixin
from src.helpers import *
from sqlalchemy import exc
class BookRating(BaseMixin, db.Model):
__tablename__ = "book_ratings"
rating_id = db.Column(db.String(50), primary_key=True, default=lambda: uuid.u... | Aaronh3k/book-status-api | src/models/book_ratings.py | book_ratings.py | py | 7,769 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "src.models.mixins.BaseMixin",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "src.app.db.Model",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "src.app.db",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "src.app.db.... |
5049475129 | # Configuration file for the Sphinx documentation builder.
#
# For the full list of built-in configuration values, see the documentation:
# https://www.sphinx-doc.org/en/master/usage/configuration.html
# -- Project information -----------------------------------------------------
# https://www.sphinx-doc.org/en/master... | NVIDIA/TensorRT-LLM | docs/source/conf.py | conf.py | py | 2,943 | python | en | code | 3,328 | github-code | 36 | [
{
"api_name": "sys.path.insert",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_num... |
28090834284 | import pytest
import config
import random
from datetime import datetime
from flask.testing import FlaskClient
from webapp import create_app, db
from flask import current_app
from webapp.models import Theme, Timebox, Task, Project
@pytest.fixture(scope='function')
def models():
return {'timebox': Timebox}
@pytest.... | thekitbag/todoodleoo-server | tests/conftest.py | conftest.py | py | 5,630 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "webapp.models.Timebox",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "pytest.fixture",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pytest.fixture",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "webapp.create_app... |
18745919637 | from telegram import Bot, Update, ParseMode
from telegram.ext import run_async
import time
from bot.modules.helper_funcs.extraction import extract_user
from bot import dispatcher
from bot.modules.disable import DisableAbleCommandHandler
@run_async
def gdpr(bot: Bot, update: Update):
message = update.effective_... | koppiesttiajaykumar/bot | bot/modules/gdpr.py | gdpr.py | py | 914 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "telegram.Bot",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "telegram.Update",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "time.sleep",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number":... |
71075117545 | import collections
class Solution:
def removeStones(self, stones: List[List[int]]) -> int:
stones = list(map(tuple, stones))
s = set(stones)
dx = collections.defaultdict(set)
dy = collections.defaultdict(set)
for i,j in s:
dx[i].add(j)
... | nango94213/Leetcode-solution | 0947-most-stones-removed-with-same-row-or-column/0947-most-stones-removed-with-same-row-or-column.py | 0947-most-stones-removed-with-same-row-or-column.py | py | 879 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "collections.defaultdict",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 9,
"usage_type": "call"
}
] |
73202442984 | from datetime import datetime
from shapely.geometry import Point
import numpy as np
from typing import List
GEODATUM_MAPPING = {
"WGS 1984": "epsg:4326",
"Ordnance Survey Great Britain 1936": "epsg:4277",
"TWD 1967": "epsg:3828",
"Gauss Krueger Meridian2": None,
"Gauss Krueger Meridian3": None,
... | d2hydro/fewspy | src/fewspy/utils/conversions.py | conversions.py | py | 3,271 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "datetime.datetime.fromisoformat",
"line_number": 75,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 75,
"usage_type": "name"
},
{
"api_name": "datetime.datetime",
"line_number": 58,
"usage_type": "name"
},
{
"api_name": "d... |
75138929384 | from loja.models import Produto
from loja.models import Pedido
from loja.models import CATEGORIAS
from rest_framework import serializers
class ProdutoSerializer(serializers.ModelSerializer):
class Meta:
model = Produto
fields = (
'id',
'nome',
'descricao',
... | jonasfsilva/desafio_intmed | loja/serializers.py | serializers.py | py | 1,298 | python | pt | code | 0 | github-code | 36 | [
{
"api_name": "rest_framework.serializers.ModelSerializer",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.serializers",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "loja.models.Produto",
"line_number": 10,
"usage_type": "name"
... |
41224759283 | '''
Created on 15-Oct-2013
@author: Kashaj
'''
import re, sqlite3,os
db = sqlite3.connect('Train_Database.db')
db.text_factory = str
db.row_factory = sqlite3.Row
db.execute('drop table if exists TrainStationNode')
db.execute('create table TrainStationNode(Train_Num char[6],stn_code char[6],route int,arr_time text,dep... | ShaikAsifullah/Indian-Railways-Informal | getEdges.py | getEdges.py | py | 2,447 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "sqlite3.connect",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "sqlite3.Row",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_numbe... |
2671289236 | import os
import shutil
from fastapi import UploadFile
# UPLOAD_DIR = "model_upload_dir"
def upload_file(upload_dirname: str, file: UploadFile, filename: str):
if file and filename:
fileobj = file.file
target_path = os.path.join(upload_dirname, filename)
target_dir = os.path.dirname(targe... | w-okada/voice-changer | server/restapi/mods/FileUploader.py | FileUploader.py | py | 1,402 | python | en | code | 12,673 | github-code | 36 | [
{
"api_name": "fastapi.UploadFile",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "os.path.join",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"li... |
20780721557 | import os #to access files
from PIL import Image #to open JPEGs
import numpy as np
#-------------------------------Custom INCLUDES-------------------------------
import lookupTables as lT
#-------------------------------Function DEFINITIONS----------------------------
def fittingEstimator(inDir, file_name, ... | nowaythatsok/GNU_lapser | version_01/estimators.py | estimators.py | py | 1,924 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "PIL.Image.open",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "numpy.array",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number":... |
24401528809 | """Handles the creating of obstacles within the game instance."""
import pygame
from src.scripts.coordinate import Coordinate
class Obstacle:
"""Class for handling the creating of obstables."""
def __init__(self) -> None:
self.size = (50, 300)
self.position = [
Coordinate(700, 400)... | Carson-Fletcher/PY_Flappy_Bird | src/scripts/obstacle.py | obstacle.py | py | 1,007 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "src.scripts.coordinate.Coordinate",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "src.scripts.coordinate.Coordinate",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pygame.Rect",
"line_number": 19,
"usage_type": "call"
},
{
"a... |
24925255734 | import pygame
pygame.init()
screen_width = 480
screen_height = 640
screen = pygame.display.set_mode((screen_width, screen_height))
background = pygame.image.load("D:/coding/python/pygame_basic/background.png")
pygame.display.set_caption("offRo")
running = True
while running:
for event in pygame.event.get():
... | pla2n/python_practice | python/pygame_basic/2_background.py | 2_background.py | py | 496 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pygame.init",
"line_number": 3,
"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.image.loa... |
656371734 | #!/usr/bin/env python
import json
import pickle
import os
import pytest
import numpy as np
import mercantile as merc
import inspect
import rasterio
import untiler
from untiler.scripts import tile_utils
def test_templating_good_jpg():
print("")
expectedMatch = 'tarbase/jpg/\d+/\d+/\d+.jpg'
expectedInterp... | mapbox/untiler | tests/test_untiler_funcs.py | test_untiler_funcs.py | py | 13,079 | python | en | code | 39 | github-code | 36 | [
{
"api_name": "untiler.scripts.tile_utils.parse_template",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "untiler.scripts.tile_utils",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "inspect.stack",
"line_number": 29,
"usage_type": "call"
},
{
... |
41560046268 | # -*- coding: utf-8 -*-
# @Time : 2018/5/6 20:21
# @Author : Narata
# @Project : android_app
# @File : insert_comment.py
# @Software : PyCharm
import pymysql
import json
db = pymysql.connect('localhost', 'root', 'narata', 'android', charset='utf8')
cursor = db.cursor()
with open('../dataset/review.json',... | narata/android_app | databases/mysql/insert_comment.py | insert_comment.py | py | 874 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pymysql.connect",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "pymysql.escape_string",
"line_number": 22,
"usage_type": "call"
}
] |
16321882534 | import logging
from mmpose.apis.inference import inference_top_down_pose_model, init_pose_model, vis_pose_result
from mmpose.datasets import DatasetInfo
logger = logging.getLogger(__name__)
def loadModel(configPath, ckptPath, device, half):
model = init_pose_model(configPath, ckptPath, str(device).lower())
da... | ideguchi92/assignment | src/vitposeModule.py | vitposeModule.py | py | 1,323 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "logging.getLogger",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "mmpose.apis.inference.init_pose_model",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "mmpose.datasets.DatasetInfo",
"line_number": 22,
"usage_type": "call"
},
{
... |
17697981558 | import os
import sys
from time import time, sleep
from itertools import permutations
import pickle
import matplotlib.pyplot as plt
import cv2
import numpy as np
import pandas as pd
import mediapipe as mp
from sklearn.tree import DecisionTreeClassifier
from PIL import Image, ImageDraw, ImageFont
from t... | fukumoto1998/fingerspelling | word5/main.py | main.py | py | 8,588 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "numpy.array",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.uint8",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "numpy.array",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "PIL.Image.fromarray",
"l... |
41483919268 | import json
import requests
from MGP_SDK import process
from MGP_SDK.auth.auth import Auth
class Pipelines:
def __init__(self, auth: Auth):
self.auth = auth
self.api_version = self.auth.api_version
self.base_url = f'{self.auth.api_base_url}/ordering/{self.api_version}/pipelines'
... | Maxar-Corp/maxar-geospatial-platform | src/MGP_SDK/ordering_service/pipelines.py | pipelines.py | py | 3,242 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "MGP_SDK.auth.auth.Auth",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "requests.get",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "MGP_SDK.process._response_handler",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": ... |
14963550829 | import shutil
import logging
from logging.config import fileConfig
import sys
import socket
fileConfig('log.ini', defaults={'logfilename': 'bee.log'})
logger = logging.getLogger('health')
# get hard drive space
total, used, free = shutil.disk_usage("/")
percent_used = used / total * 100.0
percent_used = '{:0.2f}'.fo... | jenkinsbe/hivekeepers | get_server_health.py | get_server_health.py | py | 1,049 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "logging.config.fileConfig",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "shutil.disk_usage",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "mysql.con... |
23923499833 | import tensorflow as tf
from tensorflow.keras.models import Model
from tensorflow.keras.layers import Input, concatenate, Conv2D, UpSampling2D
from tensorflow.keras.layers import GlobalAveragePooling2D, Dense, LeakyReLU
from tensorflow.keras import backend as K
from keras.layers.core import Activation
from keras.utils.... | vosps/tropical_cyclone | wgan_no_rain/models.py | models.py | py | 15,850 | python | en | code | 8 | github-code | 36 | [
{
"api_name": "tensorflow.keras.layers.Input",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "tensorflow.keras.layers.Input",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "blocks.const_upscale_block_100",
"line_number": 39,
"usage_type": "call"
},... |
22169474472 | import memcache, random, string
mc = memcache.Client(['127.0.0.1:11211'], debug=0)
HEAD_KEY = "mqueueheadpointer"
TAIL_KEY = "mqueuetailpointer"
SEPARATOR = "___"
VALUE_KEY = "value"
LINK_KEY = "link"
def random_id():
rid = ''
for x in range(8): rid += random.choice(string.ascii_letters + string.digits)
return ri... | codescrapper/mqueue | mqueue.py | mqueue.py | py | 1,142 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "memcache.Client",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "random.choice",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "string.ascii_letters",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "string.digits"... |
18792168810 | import sys
from fractions import Fraction
prog, name, reps, lead = sys.argv[:4]
lead, reps = int(lead), int(reps)
L = [Fraction(s) for s in sys.argv[4:]]
L = L * reps
pL = []
def add_invert(n,d):
p = 1/d
q = n + p
pL.append((str(d), str(p), str(n), str(q)))
return q
def evaluate(L):
d = L.pop()
... | telliott99/short_takes | contd_fracs.py | contd_fracs.py | py | 604 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "sys.argv",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "fractions.Fraction",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 6,
"usage_type": "attribute"
}
] |
32489489942 | #-*-coding:utf-8 -*-
from django.db import models
from django.utils.translation import ugettext_lazy as _
__all__ = ['Department']
class Department(models.Model):
name = models.CharField(max_length=30,unique=True,blank=False,default='guest',verbose_name=_('Department'))
# principal = models.ManyToManyField(U... | opnms/opnms | users/models/department.py | department.py | py | 614 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "django.db.models.Model",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "django.db.models.CharField",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "... |
71362096425 | import os
import logging
from logging.handlers import RotatingFileHandler
#Bot token @Botfather
TG_BOT_TOKEN = os.environ.get("TG_BOT_TOKEN", "")
#Your API ID from my.telegram.org
APP_ID = int(os.environ.get("APP_ID", ""))
#Your API Hash from my.telegram.org
API_HASH = os.environ.get("API_HASH", "")
#Your db channe... | RymOfficial/HackerFileShare | config.py | config.py | py | 3,331 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "os.environ.get",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "os.environ.get",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_num... |
71578859943 | #!/usr/bin/env python
import vtk
def main():
font_size = 24
# Create the text mappers and the associated Actor2Ds.
# The font and text properties (except justification) are the same for
# each single line mapper. Let's create a common text property object
singleLineTextProp = vtk.vtkTextProperty... | lorensen/VTKExamples | src/Python/Annotation/MultiLineText.py | MultiLineText.py | py | 7,461 | python | en | code | 319 | github-code | 36 | [
{
"api_name": "vtk.vtkTextProperty",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "vtk.vtkTextProperty",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "vtk.vtkNamedColors",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "vtk.vtkTex... |
11045288759 | from datetime import datetime
from django.shortcuts import get_object_or_404
from rest_framework import status
from rest_framework.response import Response
from rest_framework.permissions import IsAuthenticated
from rest_framework.decorators import action
from rest_framework.viewsets import GenericViewSet, ModelViewSet... | mohsen-hassani-org/teamche | todo_list/api.py | api.py | py | 3,846 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "rest_framework.viewsets.GenericViewSet",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "rest_framework.mixins.RetrieveModelMixin",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "rest_framework.mixins.ListModelMixin",
"line_number": 16,
... |
13670330701 | import random
from random import choice
import discord
import asyncio
from discord.ext import commands
import requests
bot = commands.Bot(command_prefix='.')
class games(commands.Cog):
def __init__(self, bot):
self.bot = bot
determine_flip = [1, 0]
@commands.command()
async d... | BrandonLee28/Cardinal4 | games.py | games.py | py | 4,082 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "discord.ext.commands.Bot",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "discord.ext.commands",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "discord.ext.commands.Cog",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name... |
9045055933 | from typing import Optional
from xml.etree.ElementTree import Element, Comment
from api.mvc.model.data.content_model import ContentModel
from api.mvc.model.data.data_model import DataModel
from api.mvc.model.data.data_type import DataType
from api_core.exception.api_exception import ApiException
from api_core.helper.f... | seedbaobab/alfresco_helper | api/mvc/model/service/file/content_model_service.py | content_model_service.py | py | 30,329 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "api_core.mvc.service.file.xml_file_service.XmlFileService",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "xml.etree.ElementTree.Element",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "api_core.helper.file_folder_helper.FileFolderHelper.extra... |
35398230138 | from __future__ import (nested_scopes, generators, division, absolute_import, with_statement,
print_function, unicode_literals)
import os
import subprocess
from contextlib import closing
from StringIO import StringIO
from twitter.common.collections import maybe_list
from pants.backend.core.t... | fakeNetflix/square-repo-pants | tests/python/pants_test/tasks/test_base.py | test_base.py | py | 8,440 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "subprocess.call",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "os.devnull",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "subprocess.STDOUT",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "pants_test.bas... |
73225167144 | from extra_streamlit_tools._logging import logging as logger
import streamlit as st
from typing import Any, Optional
def clear_cache(keep_keys: Optional[list[str]] = None) -> None:
"""
Resets the Streamlit cache.
Parameters
----------
keep_keys:Optional[list[str]]
Keys to not be c... | sTomerG/extra-streamlit-tools | src/extra_streamlit_tools/utils.py | utils.py | py | 2,324 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "typing.Optional",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "extra_streamlit_tools._logging.logging.debug",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "extra_streamlit_tools._logging.logging",
"line_number": 16,
"usage_type": "na... |
20756086605 | """
Created on Thu Sep 8 14:37:34 2016
@author: Patrick Trainor
@course: Artificial Intelligence
@title: Project 2
Code for embedding of figure in tk credited to:
http://matplotlib.org/examples/user_interfaces/embedding_in_tk.html
Code for labeling points on figure credited to "unknown" @
http://stackov... | trainorp/srch | TSP_BFS_DFS.py | TSP_BFS_DFS.py | py | 6,501 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "Tkinter.Tk",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 33,
"usage_type": "attribute"
},
{
"api_name": "re.findall",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "numpy.matrix",
"line_number":... |
36779117268 | # NOTE: mini function for testing your UDP connection w the computer running the server and MAX
from pythonosc import udp_client
PORT_TO_MAX = 5002
IP = "192.168.2.2"
global client
client = udp_client.SimpleUDPClient(IP, PORT_TO_MAX)
input("hello")
while True:
print("sent")
client.send_message("/point", 1)
... | mshen63/RoboticMusicianship_CV_Project | oldReferenceFiles/socketTrial.py | socketTrial.py | py | 336 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pythonosc.udp_client.SimpleUDPClient",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pythonosc.udp_client",
"line_number": 8,
"usage_type": "name"
}
] |
75034732264 | import logging
from handlers.detectors import detect_is_admin
from keyboards.default.start import start_admin
from keyboards.inline.admin.success_payment import withdraw_money_balance
from loader import dp, bot, db
from data.config import ADMINS
from keyboards.default.back import back
from states.balance import Balan... | uzbsobirov/Money-grow-bot | handlers/users/balance/withdraw_money.py | withdraw_money.py | py | 6,079 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "aiogram.types.CallbackQuery",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "aiogram.types",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "aiogram.dispatcher.FSMContext",
"line_number": 17,
"usage_type": "name"
},
{
"api_... |
8890345896 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sat Jan 20 15:50:56 2018
@author: vitorhadad
"""
#
import numpy as np
import networkx as nx
import os
from tqdm import trange
from matching.solver.kidney_solver2 import optimal, greedy, get_two_cycles
from matching.utils.data_utils import clock_seed, evalu... | halflearned/organ-matching-rl | matching/temp/temp.py | temp.py | py | 3,852 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "networkx.write_edgelist",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "os.system",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "pdb.set_trace",
"li... |
15066809328 | # This file is part of ZNC-Signal <https://github.com/poppyschmo/znc-signal>,
# licensed under Apache 2.0 <http://www.apache.org/licenses/LICENSE-2.0>.
import pytest
from copy import deepcopy
from collections import namedtuple
from conftest import signal_stub, signal_stub_debug, all_in
signal_stub = signal_stub # qui... | poppyschmo/znc-signal | tests/test_hooks.py | test_hooks.py | py | 13,691 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "conftest.signal_stub",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "conftest.signal_stub_debug",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "os.environ",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "os.envi... |
41198927211 | import logging
import json
from lxml import etree
def get_field_text(tree, path):
nsmap = {"n1": tree.getroot().nsmap['n1']}
node = tree.xpath(path, namespaces=nsmap)
if len(node) > 0:
return node[0].text
return ''
def parse_metadata(scene, xml_filename, json_filename):
logger = logging.ge... | amy-langley/irma-import | xml_operations.py | xml_operations.py | py | 1,267 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "logging.getLogger",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "lxml.etree.parse",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "lxml.etree",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "json.loads",
"line_... |
15955214108 | #! python3
# sendDuesReminders.py - sends emails based on payment status in spreadsheet
import smtplib
import openpyxl
wb = openpyxl.load_workbook('C:\\Users\\daize\\Desktop\\pythontest\\Automate\\duesRecords.xlsx')
sheet = wb.get_sheet_by_name('Sheet1')
lastCol = sheet.max_column
latestMonth = sheet.cell(row=1, col... | sdz0716/myPython | act16-email_message/sendDuesReminders.py | sendDuesReminders.py | py | 1,218 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "openpyxl.load_workbook",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "smtplib.SMTP",
"line_number": 21,
"usage_type": "call"
}
] |
13015450298 | import asyncio
import websockets
HOST = '0.0.0.0'
WS_PORT = 3333
TCP_PORT = 8888
loop = asyncio.get_event_loop()
websocket_connections = []
tcp_connections = []
async def send_status(status: str):
data = status.encode()
for c in tcp_connections:
try:
writer = c[1]
writer.write(data)
await writer.drai... | DeadMorose777/UE4_SpeechController | speech_controller-main/host2.py | host2.py | py | 2,119 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "asyncio.get_event_loop",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "websockets.exceptions",
"line_number": 65,
"usage_type": "attribute"
},
{
"api_name": "websockets.serve",
"line_number": 88,
"usage_type": "call"
},
{
"api_name": "asy... |
7535403822 | from __future__ import print_function
#
# -*- coding: utf-8 -*-#
# eso.org
# Copyright 2011 ESO
# Authors:
# Lars Holm Nielsen <lnielsen@eso.org>
# Dirk Neumayer <dirk.neumayer@gmail.com>
#
#
# Mantis 12175: Fix release dates for images and videos
#
#
# Find wrong release_dates:
# 1) Check id with release_date - e.... | esawebb/esawebb | scripts/correct_dates.py | correct_dates.py | py | 4,493 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "future.standard_library.install_aliases",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "future.standard_library",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "hubblesite.get_release_date",
"line_number": 58,
"usage_type": "call"
}... |
21787505234 | import json
from datetime import date,timedelta
path = '/Users/evcu/GitHub/evcu.github.io//assets/nyc365blog/data.json'
data = {}
newel = {}
newel[u'date'] = str(date.today()-timedelta(days=365))
newel[u'mood'] = str(input("Enter mood -1/0/1:\n"))
print(newel)
newel[u'high'] = str(input("Highlights\n"))
newel[u'low'] ... | evcu/evcu.github.io | assets/nyc365blog/newDay.py | newDay.py | py | 704 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "datetime.date.today",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "datetime.date",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "datetime.timedelta",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "json.load",
"li... |
19856862641 | # -*-- encoding=utf-8 --*-
import pandas as pd
import xlsxwriter
import os
import platform
from pandas import ExcelWriter
from util import main_function,plot_trend
def __read_one_csv_file(inCsvFileName):
try:
callFailData=pd.read_csv(inCsvFileName,
dtype={'呼叫对方号码': ob... | sundaygeek/bigdata-cloud-analysis | cloud_in_callfail.py | cloud_in_callfail.py | py | 18,222 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pandas.read_csv",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path.abspath",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "os.listdir",
"line_n... |
10535469198 | import pygame
import os
from sys import exit
WIDTH, HEIGHT = 1600, 900
pygame.init()
WIN = pygame.display.set_mode((WIDTH, HEIGHT))
pygame.display.set_caption("Buildings")
WHITE = (255, 255, 255)
FPS = 60
indx = 0
font = pygame.font.Font(None, 50)
class Building():
def __init__(self, name, offset_x, offset_y):
... | Hemant-29/pygame-project | building.py | building.py | py | 2,913 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pygame.init",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_mode",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "pygame.display.s... |
25404288175 | # -*- coding: utf-8 -*-
import torch.nn as nn
from network import Decomposition,MultiscaleDiscriminator,downsample
from utils import gradient
from ssim import SSIM
import torch
import torch.optim as optim
import torchvision
import os
import torch.nn.functional as F
from contiguous_params import ContiguousParams
class... | thfylsty/ImageFusion_DeepDecFusion | model.py | model.py | py | 11,325 | python | en | code | 5 | github-code | 36 | [
{
"api_name": "torch.nn.Module",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "network.Decomposition",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "network.Multiscal... |
34898939242 | import numpy as np
import librosa
from typing import List
import matplotlib.pyplot as plt
from scipy import signal
from scipy.fft import rfft, rfftfreq
import os
TECHNIQUES = ['High', 'Tasto', 'Bend', 'Harm', 'Strum', 'Pont', 'Ord', 'Chord', 'Smack', 'Palm', 'TEST', 'SILENCE']
#TECHNIQUES = os.listdir("samples/manual... | trian-gles/ai-technique-classification | utilities/analysis.py | analysis.py | py | 4,193 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "numpy.ndarray",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "librosa.onset.onset_strength",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "librosa.onset",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "li... |
19567593432 | import requests
import csv
from bs4 import BeautifulSoup
import json
from collections import namedtuple
from typing import List, Dict
TOPICS_NUMBER = 6
LEVELS_NUMBER = 5
MIN_LEVEL_CONTEST_ID = "030813"
MAX_LEVEL_CONTEST_ID = "030817"
TABLE_URL = ("https://ejudge.lksh.ru/standings/dk/stand.php"
"?from={}&t... | daniil-konovalenko/Cprime-practice-results | load_results.py | load_results.py | py | 3,803 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "collections.namedtuple",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSo... |
18692006503 | import json
import logging
import sys
from z3 import z3
from teether.constraints import check_model_and_resolve
from teether.evm.exceptions import IntractablePath
from teether.evm.state import LazySubstituteState, SymRead
from teether.project import Project
from teether.util.z3_extra_util import concrete
def set_bala... | t-hermanns/coercer | bin/set_balanceOf.py | set_balanceOf.py | py | 4,086 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "z3.z3.Array",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "z3.z3",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "z3.z3.BitVecSort",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "z3.z3.Store",
"line_number": 1... |
11704013339 | # -*- coding: utf-8 -*-
"""Translator module"""
from __future__ import division
from data import NUMBERS
class Translator(object):
"""Translator class"""
@classmethod
def translate(cls, data):
"""The method for converting a input data to number instance """
if isinstance(data, str):
... | russtanevich/num_converter | translator.py | translator.py | py | 2,596 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "data.NUMBERS",
"line_number": 33,
"usage_type": "name"
},
{
"api_name": "data.NUMBERS",
"line_number": 35,
"usage_type": "name"
},
{
"api_name": "data.NUMBERS",
"line_number": 36,
"usage_type": "name"
},
{
"api_name": "data.NUMBERS",
"line_numbe... |
6679921790 | #!/usr/bin/env python
"""
Download the given htmx version and the extensions we're using.
"""
import argparse
import subprocess
from typing import List, Optional
def main(argv: Optional[List[str]] = None) -> int:
parser = argparse.ArgumentParser()
parser.add_argument("version", help="e.g. 1.0.1")
args = p... | hernantz/django-htmx-demo | download_htmx.py | download_htmx.py | py | 1,146 | python | en | code | 5 | github-code | 36 | [
{
"api_name": "typing.Optional",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "subprocess.run",
... |
23597687031 | import sieve
from typing import Dict, List
import os
from dotenv import load_dotenv
load_dotenv()
api_key = os.environ.get('SIEVE_API_KEY')
sieve.SIEVE_API_KEY = os.getenv('SIEVE_API_KEY')
sieve.SIEVE_API_URL = os.getenv('SIEVE_API_URL')
@sieve.Model(
name="deepface-emotion-detector",
gpu = True,
python_pack... | GauravMohan1/sieve_emotion_face_tracker | main.py | main.py | py | 3,571 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "dotenv.load_dotenv",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.environ.get",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "sieve.SIEVE_API_KEY",
... |
20078827999 | from django.urls import reverse
from rest_framework import status
from rest_framework.test import APITestCase
from api.serializers import BookSerializer
from books.models import Book, PublicationLanguage, Author
from django.test import Client
client = Client()
class TestBookList(APITestCase):
def setUp(self) ->... | tomasz-rzesikowski/books_poc | api/tests/tests_views.py | tests_views.py | py | 2,504 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "django.test.Client",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "rest_framework.test.APITestCase",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "books.models.PublicationLanguage.objects.get_or_create",
"line_number": 14,
"usage_type... |
14521287997 | #imports the os package and inotify
import os
from inotify_simple import INotify, flags
#pulls in the package
inotify = INotify()
#runs the below command so this script will keep running once it's finished
os.system("while :; do python3 File-Changes.py; done")
#creates the watch flags
watch_flags = flags.CREATE | flags... | Splixxy/Cron-Job | File-Changes.py | File-Changes.py | py | 907 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "inotify_simple.INotify",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "os.system",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "inotify_simple.flags.CREATE",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "inotif... |
32413884802 | import pytest
import torch
from renate.benchmark.models.transformer import HuggingFaceSequenceClassificationTransformer
@pytest.mark.parametrize("model_name", ["distilbert-base-uncased", "bert-base-uncased"])
def test_init(model_name):
HuggingFaceSequenceClassificationTransformer(
pretrained_model_name_o... | awslabs/Renate | test/renate/benchmark/models/test_text_transformer.py | test_text_transformer.py | py | 844 | python | en | code | 251 | github-code | 36 | [
{
"api_name": "renate.benchmark.models.transformer.HuggingFaceSequenceClassificationTransformer",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pytest.mark.parametrize",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pytest.mark",
"line_number": 7,
"u... |
74260920742 | import numpy as np
import torch
import copy
from pathlib import Path
from torch_scatter import scatter
from typing import Dict, Tuple
from pcdet.datasets.v2x_sim.v2x_sim_dataset_ego import V2XSimDataset_EGO, get_pseudo_sweeps_of_1lidar, get_nuscenes_sensor_pose_in_global, apply_se3_
from pcdet.datasets.v2x_sim.v2x_sim... | quan-dao/practical-collab-perception | pcdet/datasets/v2x_sim/v2x_sim_dataset_ego_late.py | v2x_sim_dataset_ego_late.py | py | 6,411 | python | en | code | 5 | github-code | 36 | [
{
"api_name": "pcdet.datasets.v2x_sim.v2x_sim_dataset_ego.V2XSimDataset_EGO",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "torch.load",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "torch.device",
"line_number": 19,
"usage_type": "call"
},
{
... |
73339180903 | import asyncio
import json
from datetime import datetime
import aiohttp
from pydantic import BaseModel, Field, NonNegativeFloat
from faststream import ContextRepo, FastStream, Logger
from faststream.kafka import KafkaBroker
broker = KafkaBroker("localhost:9092")
app = FastStream(broker)
class CryptoPrice(BaseMode... | airtai/faststream-gen | docs_src/tutorial/retrieve-publish-crypto/app/application.py | application.py | py | 2,687 | python | en | code | 19 | github-code | 36 | [
{
"api_name": "faststream.kafka.KafkaBroker",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "faststream.FastStream",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pydantic.BaseModel",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": ... |
16483457321 | from flask import Blueprint, g
from flask_graphql import GraphQLView
from flask_cors import CORS
from .schema import schema
api = Blueprint('api', __name__)
CORS(api, supports_credentials=True) # Enables CORS with cross origin cookies
class CustomGraphQlView(GraphQLView):
def dispatch_request(self):
resp... | AlexEshoo/poll_app_graphql | poll_app_graphql/api/__init__.py | __init__.py | py | 672 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "flask.Blueprint",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "flask_cors.CORS",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "flask_graphql.GraphQLView",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "flask.g.get",
... |
26236313252 | import csv
import json
# Save .csv file from dict List [{}]
def save_file(results, filename, format):
if(format=='csv'):
if(len(results) > 0):
with open(f'{filename}.csv', 'w', encoding='utf8', newline='') as output_file:
output_file.write('sep=,\n')
... | cristianmacedo/crawliexpress | crawliexpress/lib/helpers.py | helpers.py | py | 648 | python | en | code | 8 | github-code | 36 | [
{
"api_name": "csv.DictWriter",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_number": 16,
"usage_type": "call"
}
] |
35196657682 | import os
import dataclasses
import unittest
import torch
import math
import copy
import numpy as np
import lpips
from dataset.co3d_dataset import Co3dDataset, FrameData
from dataset.dataset_zoo import DATASET_ROOT
from tools.utils import dataclass_to_cuda_
from evaluation.evaluate_new_view_synthesis import eval_batc... | eldar/snes | 3rdparty/co3d/tests/test_evaluation.py | test_evaluation.py | py | 10,050 | python | en | code | 59 | github-code | 36 | [
{
"api_name": "unittest.TestCase",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "torch.manual_seed",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "dataset.dataset_zoo.DATASET_ROOT",
"line_number": 24,
"usage_type": "name"
},
{
"api_nam... |
71656889065 | import torch
import torchaudio
from torchaudio.transforms import MelSpectrogram, Spectrogram
def load_wav_to_torch(full_path, hop_size=0, slice_train=False):
wav, sampling_rate = torchaudio.load(full_path, normalize=True)
if not slice_train:
p = (wav.shape[-1] // hop_size + 1) * hop_size - wav.shape[... | jisang93/VISinger | utils/audio/mel_processing.py | mel_processing.py | py | 2,724 | python | en | code | 13 | github-code | 36 | [
{
"api_name": "torchaudio.load",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "torch.nn.functional.pad",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"... |
3585781734 | from __future__ import absolute_import, division, print_function
# Local Imports
from modeling import ArgStrModel
from arguments import TrainingArguments
from training import ArgStrTrainer
from processors import get_datasets
from utils import Data_Collator, set_seed
# Standard Imports
import os
import random
# Third... | The-obsrvr/ArgStrength | Hyper-parameter-optimization/src/retraining.py | retraining.py | py | 6,077 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "os.environ",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "json.load",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "torch.device",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
... |
10680492541 | import time
import tensorflow.compat.v1 as tf
# tf.disable_eager_execution()
tf.config.run_functions_eagerly(True)
tf.enable_eager_execution()
from utils import *
from models import RGCN
import random
import pandas as pd
from sklearn.gaussian_process import GaussianProcessClassifier
from sklearn.gaussian_process.kernel... | zzheng18/CSPC680RGCNV | src/train_gpc.py | train_gpc.py | py | 4,973 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "tensorflow.compat.v1.config.run_functions_eagerly",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "tensorflow.compat.v1.config",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.compat.v1",
"line_number": 4,
"usage_type": "... |
15506027054 |
# https://medium.com/analytics-vidhya/computer-vision-and-deep-learning-part-2-586b6a0d3220 --- main
# https://github.com/Esri/raster-deep-learning/blob/master/docs/writing_deep_learning_python_raster_functions.md
import cv2
import numpy as np
from matplotlib import pyplot as plt
cv_image= cv2.imread("/home/jameshu... | hssaccord/myTEST | main.py | main.py | py | 1,348 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "cv2.imread",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "cv2.adaptiveThreshold",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "cv2.ADAPTIVE_THRESH_MEAN_C",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "cv2.T... |
3206852190 | """ Provides the different Bounds that are used by the Table to determine
the Cells that are adjacent to the Table. """
from __future__ import annotations
from _operator import attrgetter
from itertools import cycle
from typing import Callable, cast, Iterable, NamedTuple, Protocol, TypeVar
from pdf2gtfs.config impor... | heijul/pdf2gtfs | src/pdf2gtfs/datastructures/table/bounds.py | bounds.py | py | 13,748 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "typing.TypeVar",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "typing.Protocol",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "typing.Iterable",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "pdf2gtfs.datastructure... |
74147866345 | import pygame, humans, sys, menu
from random import randint
scan_delay = 300
coll_delay = 300
move_delay = 300
menu.valmynd()
skra = open("settings/exit.txt", "r")
for line in skra:
if line == "True":
sys.exit()
skra.close()
settings = (open("settings/settings.txt", "r").read()).split()
fps = int(setting... | Zepeacedust/skolasim | main.py | main.py | py | 1,408 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "menu.valmynd",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sys.exit",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pygame.init",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "humans.student",
"line_number": ... |
4705152598 | import numpy as np
import pandas as pd
import logging
logging.getLogger(__name__).addHandler(logging.NullHandler())
logger = logging.getLogger(__name__)
try:
from sklearn.base import TransformerMixin, BaseEstimator
except ImportError:
msg = "scikit-learn not installed"
logger.warning(msg)
try:
from ... | skerryvore/pyrolite | pyrolite/util/skl/impute.py | impute.py | py | 6,714 | python | en | code | null | github-code | 36 | [
{
"api_name": "logging.getLogger",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "logging.NullHandler",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "sklearn.base.Bas... |
42037688043 | """
Signal characteristics animation
"""
import os
import numpy as np
import matplotlib
import matplotlib.pyplot as plt
from matplotlib.animation import FuncAnimation
from matplotlib import gridspec
matplotlib.use('TkAgg')
class sigCharacterAnimation:
'''
Animation for signal characteristics
'''
# si... | PenroseWang/SimGPS | code/utils/signal_characteristic.py | signal_characteristic.py | py | 6,216 | python | en | code | 11 | github-code | 36 | [
{
"api_name": "matplotlib.use",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.pi",
"line_number": 35,
"usage_type": "attribute"
},
{
"api_name": "numpy.arange",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "numpy.sin",
"line_numbe... |
15000533019 | #!/usr/bin/env python2
# -*- coding: utf-8 -*-
"""
Created on Fri Jan 12 15:36:15 2018
@author: chrelli
added unix time stamps to the first camera!
Ways to slim down the data:
no unix time stamps?
no color frame showing? - yes, helps a lot!
no png compression? Totally fine at 30 fps!
Majow to do list:
... | chrelli/3DDD_social_mouse_tracker | recording/record_calib_npy.py | record_calib_npy.py | py | 15,418 | python | en | code | 5 | github-code | 36 | [
{
"api_name": "sys.path.append",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 50,
"usage_type": "attribute"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 68,
"usage_type": "call"
},
{
"api_name": "argparse.Argume... |
11952114818 | from datetime import datetime
import backtrader as bt
import tushare as ts
import pandas as pd
class MyStrategy1(bt.Strategy):
params = (('maperiod', 20),
('printlog', False),)
def __init__(self):
# 指定价格序列
self.dataclose = self.datas[0].close
# 初始化交易指令、买卖价格和... | Cui-Yusong/NUS_proj | backtest_sma.py | backtest_sma.py | py | 8,940 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "backtrader.Strategy",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "backtrader.indicators.SimpleMovingAverage",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "backtrader.indicators",
"line_number": 20,
"usage_type": "attribute"
... |
74434198503 | import json #to impost post.json
from blog.models import Post
# instance of opening and loading json data
with open('post.json') as f:
posts_json = json.load(f)
# Loop through JSON data
for post in posts_json:
"""
input:
title: the title of the json element
content: the cotent of the json ... | YusufBritton1990/Django_tutorial_backup | django_project/shell_posting.py | shell_posting.py | py | 837 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "json.load",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "blog.models.Post",
"line_number": 23,
"usage_type": "call"
}
] |
1923472018 | #!/usr/bin/env python
#coding=utf-8
import json
from lib.sqs import zhihufav_sqs
from lib.tasks import add_note
def get_sqs_queue():
sqs_info = zhihufav_sqs.get_messages(10)
for sqs in sqs_info:
sqs_body = sqs.get_body()
receipt_handle = sqs.receipt_handle
sqs_json = json.loads(sqs_bo... | youqingkui/zhihufav | do_tasks.py | do_tasks.py | py | 553 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "lib.sqs.zhihufav_sqs.get_messages",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "lib.sqs.zhihufav_sqs",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "json.loads",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "lib... |
11342229951 | import io
import os
import random
from PIL import Image
import imageio
import requests
import seventv
def get_response(message: str):
p_message = message.lower()
if p_message[:3] == ("add"):
url = p_message.split(" ")[1]
return addGif(url)
if p_message == "help":
return helpText(... | JimenezJC/discord-7tv-emoji-app | responses.py | responses.py | py | 1,667 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "seventv.get_webp_url",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "requests.exceptions",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "seventv.ge... |
18391614264 | import requests
from bs4 import BeautifulSoup
import wikipedia
class unotes:
def __init__(self,*args):
self.data_list = [a.replace(' ','_')for a in args]
self.content = {}
self.links = {}
def __str__(self):
return f"unotes for {self.data_list}"
def search(self):
co... | UtsabKafle/unotes | src/unotes.py | unotes.py | py | 4,021 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "wikipedia.search",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "wikipedia.summary",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
... |
19250130553 | import http
import requests
import tenacity
from bs4 import BeautifulSoup
from tenacity import retry_if_exception_type, stop_after_attempt
from .exceptions import BadRequest, NetworkError, NotClientError, NotFound, ServerError
from .utils import cache
@tenacity.retry(
reraise=True,
retry=retry_if_exception_... | macoyshev/weather_CLI | weather/weather_parser.py | weather_parser.py | py | 1,336 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "requests.get",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "requests.exceptions",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "http.HTTPStatus",
"line_number": 35,
"usage_type": "attribute"
},
{
"api_name": "exceptions... |
72718761064 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""Created on Fri Mar 10 12:54:45 2023
"""
import numpy as np
from pyGITR.math_helper import *
from typing import Callable
import matplotlib.pyplot as plt
import pydoc
import netCDF4
import os
def Gaussian(x: np.ndarray = np.linspace(-15000, 15000, 100000), sigma: float =... | audide12/DIIIDsurface_pyGITR | pyGITR/importance_sampling_1.py | importance_sampling_1.py | py | 2,626 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "numpy.ndarray",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "numpy.linspace",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.sqrt",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.pi",
"line_num... |
28981514805 | from django.conf.urls import patterns, url, include
from django.contrib import admin
admin.autodiscover()
urlpatterns = patterns(
'sokoban.views',
url(r'^$', 'index', name='index'),
url(r'^dashboard/$', 'dashboard', name='dashboard'),
url(r'^home/$', 'home', name='home'),
url(r'^403/$', 'alert_log... | BusyJay/sokoban | src/sokoban/urls.py | urls.py | py | 978 | python | en | code | 3 | github-code | 36 | [
{
"api_name": "django.contrib.admin.autodiscover",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "django.contrib.admin",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "django.conf.urls.patterns",
"line_number": 6,
"usage_type": "call"
},
{
"api... |
26613636857 | import numpy as np
import cv2
from imgutil import read_img
from scipy.optimize import minimize
from mathutil import Rx, Ry, Rz
in_size = (1080//2, 1920//2)
fov_factor = 1
marks = [
(1, 2, [((925, 1080//2 - 338), (1131 - 1920//2, 1080//2 - 383)),
((946, 1080//2 - 321), (1156 - 1920//2, 1080//2 - 375)),... | 42Ar/cube_mapper | marker_calc.py | marker_calc.py | py | 2,039 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "numpy.array",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "numpy.linalg.norm",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "numpy.linalg",
"line_nu... |
74246420903 | import pandas as pd
import glob
from openpyxl import load_workbook
import os
class DataFile:
def __init__(self, file_path):
self.file_path = file_path
@staticmethod
def read_csv_file(file_path):
"""
reads a *.csv file and returns a pandas DataFrame of the file
:param fil... | DimaZimin/invoice_status_check | datafile.py | datafile.py | py | 2,386 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pandas.read_csv",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "glob.glob",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "pandas.concat",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "openpyxl.load_workbook",
... |
39399879426 | from pyspark import SparkConf, SparkContext
import random
import numpy as np
import time
def mapper1(line):
matrix_name, row, col, num = line.split(",")
row, col, num = int(row), int(col), int(num)
mapList = []
for idx in range(MATRIX_SIZE):
if matrix_name == 'M':
key = (row, idx, ... | uuuChen/NTHU-Course-BIGDATA | bigData_hw1/hw1.py | hw1.py | py | 2,829 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pyspark.SparkConf",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "pyspark.SparkContext",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "random.randint"... |
30144105909 | import os
from playhouse.sqlite_ext import CSqliteExtDatabase
from peewee import DatabaseProxy
class PDatabaseFactory:
def __init__(self, config):
self.cfg = config
self.instances = {}
self.defaut_instance = self.cfg.get('db', 'database')
self.sqlite_db_path = self.cfg.get('sqlite... | prise6/medias-trends | mediastrends/database/peewee/PDatabaseFactory.py | PDatabaseFactory.py | py | 1,277 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "peewee.DatabaseProxy",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "playhouse.sqlite_ext.CSqliteExtDatabase",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"line_number": 22,
"usage_type": "call"
},
{
"api_... |
2962500565 | from prettytable import PrettyTable
import sympy as sp
sp.init_printing(use_unicode=True)
def raices_multiples(x0, tolerancia, niter):
x = sp.symbols('x')
#f = x**4 - 18*x**2+81
f = x**3 - x**2 - x + 1 + sp.sin(x-1)**2
tabla = PrettyTable(['i', 'xn', 'f(xn)', 'df(xn)', 'ddf(xn)', 'ErrorAbs', 'ErrorRel... | jvalen92/Analisis-Numerico | SolucionEcuancionesUnaVariable/raices_multples.py | raices_multples.py | py | 1,051 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "sympy.init_printing",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "sympy.symbols",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "sympy.sin",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "prettytable.PrettyTable",
... |
27688934832 | import sys
import pandas as pd
import numpy as np
from sklearn.preprocessing import RobustScaler
from sklearn.tree import DecisionTreeClassifier
from evaluate_model import evaluate_model
dataset = sys.argv[1]
num_param_combinations = int(sys.argv[2])
random_seed = int(sys.argv[3])
np.random.seed(random_seed)
pipelin... | rhiever/sklearn-benchmarks | model_code/random_search/DecisionTreeClassifier.py | DecisionTreeClassifier.py | py | 1,283 | python | en | code | 204 | github-code | 36 | [
{
"api_name": "sys.argv",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "numpy.random.seed",
"line... |
37362500325 | import os
import sys
from pathlib import Path
from typing import Optional
import tempfile
import time
import queue
import subprocess
import threading
class IPythonInterpreter:
_END_MESSAGE = "__ INTERPRETER END OF EXECUTION __"
_INTERPRETER_PROMPT = ">>> "
_LAST_VAR = "_INTERPRETER_last_val"
def __in... | silvanmelchior/IncognitoPilot | services/services/interpreter/ipython_interpreter.py | ipython_interpreter.py | py | 5,216 | python | en | code | 364 | github-code | 36 | [
{
"api_name": "pathlib.Path",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "pathlib.Path",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "pathlib.Path",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "sys.executable",
"line_num... |
8060696161 | # Lint as: python3
"""CoQA: A Conversational Question Answering Challenge"""
# partially taken from https://github.com/NTU-SQUAD/transformers-coqa/blob/2dfd58b70956e935e370989fa421f34bb83bff08/data/processors/coqa.py
from __future__ import absolute_import, division, print_function
import json
import logging
import os... | HLTCHKUST/CAiRE_in_DialDoc21 | utils/coqa.py | coqa.py | py | 9,844 | python | en | code | 11 | github-code | 36 | [
{
"api_name": "datasets.GeneratorBasedBuilder",
"line_number": 62,
"usage_type": "attribute"
},
{
"api_name": "datasets.Version",
"line_number": 64,
"usage_type": "call"
},
{
"api_name": "datasets.BuilderConfig",
"line_number": 67,
"usage_type": "call"
},
{
"api_n... |
33873457342 | import tkinter as tk
import tkinter.font as font
from PIL import Image, ImageTk
import QuikSpace as qs
import Add_Task_School_Work as atsw
import Review_Task_School_Work as rtsw
window=""
def quikSpace():
global window
window.destroy()
qs.quikspace()
def ADD_Task_School_Work():
global window
wind... | math12345678/QuikSpace | School_Work.py | School_Work.py | py | 2,133 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "QuikSpace.quikspace",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "Add_Task_School_Work.add_task_school_work",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "Review_Task_School_Work.review_task_school_work",
"line_number": 23,
"usage... |
1379120770 | import os
import cv2
import dlib
import numpy as np
from eye import Eye
from calibration import Calibration
class EyeTracking(object):
"""
This class tracks the user's gaze.
It provides useful information like the position of the eyes
and pupils and allows to know if the eyes are open or closed
""... | dead4s/SpaHeron_MachineLearning_UXIS | eye_tracking/eye_tracking.py | eye_tracking.py | py | 9,108 | python | en | code | 3 | github-code | 36 | [
{
"api_name": "calibration.Calibration",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "dlib.get_frontal_face_detector",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "os.path.abspath",
"line_number": 32,
"usage_type": "call"
},
{
"api_name":... |
35411324967 | from requests import get
from webapp.db import db
from webapp.question_service.models import Question_answer
def get_question_jservice(questions_quantity: int=1) -> dict:
"""
После получения колличества запрашиваемых вопросов сервис, в свою очередь,
запрашивает с публичного API (англоязычные во... | Straigan/webapp_question_service | webapp/services/jservice_service.py | jservice_service.py | py | 2,084 | python | ru | code | 0 | github-code | 36 | [
{
"api_name": "requests.get",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "webapp.question_service.models.Question_answer",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "webapp.db.db.session.add",
"line_number": 29,
"usage_type": "call"
},
{
... |
34141163457 | from flask_restful import Resource
from pymongo import MongoClient
from api.starta_flode import MONGODB_CONNECTION
from statistics import median
class Statistik(Resource):
def getFlodeStatistics(self, subjects, flode=None):
allData = [r for r in subjects.find(flode and {'flode': flode} or {})]
tid... | svanis71/fkhack-back | api/statistik.py | statistik.py | py | 1,059 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "flask_restful.Resource",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "statistics.median",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pymongo.MongoClient",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "api.start... |
8648504297 | from django.shortcuts import render, HttpResponse
from .forms import UserForm
from sms_alert.models import User
def index(request):
if request.method == 'POST':
name = request.POST.get('name')
phone_number = request.POST.get('phone_number')
country = request.POST.get('country')
... | prajjwalsinghzz14/Amnesia--Twilio-Notifiactions | Amnesia/sms_alert/views.py | views.py | py | 2,300 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "forms.UserForm",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sms_alert.models.User",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.HttpResponse",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "fo... |
29290165497 | import glob
import os
import subprocess
import tempfile
rescompilerPath = 'build-desktop/bin/rescompiler.exe'
containerPath = 'data/build/game.dat'
excludeFiles = glob.glob('data/build/**/*', recursive=True) + glob.glob('data/sources/**/*', recursive=True)
dataFiles = [os.path.abspath(f) for f in glob.glob('data/**/*... | Valax321/GAWFramework | rescompile.py | rescompile.py | py | 777 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "glob.glob",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path.abspath",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "glob.glob",
"line_number": ... |
37272086828 | # https://blog.csdn.net/qq_32149483/article/details/112056845
import imgaug as ia
from imgaug import augmenters as iaa
import numpy as np
from typing import Tuple, List
class Img_Aug:
def __init__(self, prob=0.2, crop=True, blur=True, superpixel=True,
space_trans=True, sharpen=True, embo... | SuperbTUM/machine-learning-practice | Text Recognition/data_aug.py | data_aug.py | py | 3,722 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "imgaug.augmenters.Affine",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "imgaug.augmenters",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "imgaug.augmenters.Crop",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "img... |
29024831808 | from src.algo import rpq
from src import Config
from tests.simple_test import simple_test
import json
import pytest
import os
import random
MAIN_TEST_DIR = \
os.path.join(os.path.dirname(os.path.abspath(__file__)), 'tests')
TEST_DIRS = list(map(
lambda dir_name: os.path.join(MAIN_TEST_DIR, dir_name),
... | SergeyKuz1001/formal_languages_autumn_2020 | tests/rpq/test.py | test.py | py | 2,155 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "os.path.join",
"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.abspath",
"line... |
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