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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
5682365879 | # -*- coding: utf-8 -*-
"""
Created on Tue Apr 30 13:22:48 2019
@author: markn
"""
import urllib
import ssl
from bs4 import BeautifulSoup
import mysql
import mysql.connector
connection = mysql.connector.connect(host='localhost', database='fantasylol', user='root', password='Marknazzaro13245')
cursor = connection.c... | mnazzaro/FantasyLoLServer | GameScraper.py | GameScraper.py | py | 2,835 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "mysql.connector.connect",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "mysql.connector",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "ssl.create_default_context",
"line_number": 53,
"usage_type": "call"
},
{
"api_name"... |
40798505510 | from __future__ import division
import matplotlib
matplotlib.use('Qt5Agg')
from PyQt5 import QtGui, QtCore, QtWidgets
from PyQt5.QtCore import Qt
import pyqtgraph as pg
import pyqtgraph.exporters
import pandas as pd
import numpy as np
from scipy.optimize import curve_fit
from scipy.sparse import vstack
#from scipy.misc... | nanoMFG/nanodiam | src/ndraman/ndraman.py | ndraman.py | py | 16,461 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "matplotlib.use",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "pyqtgraph.setConfigOption",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "pyqtgraph.setConfigOption",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "pyq... |
28933488390 | import logging
import os
from pathlib import Path
import typer
from ..TemplateLoader import TemplateLoader
from ..TemplateOptions import TemplateOptions
def validate(
template_path: Path = typer.Argument(
...,
help=("Local folder containing the Curvenote compatible template to validate"),
... | curvenote/jtex | jtex/cli/validate.py | validate.py | py | 572 | python | en | code | 21 | github-code | 69 | [
{
"api_name": "pathlib.Path",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "typer.Argument",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "TemplateLoader.TemplateLoader.validate",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "Te... |
73922312868 | from __future__ import unicode_literals
from contextlib import contextmanager
import time
from django import forms
from django.conf import settings
from django.contrib.admin import site
from django.contrib.admin.tests import AdminSeleniumWebDriverTestCase
from django.contrib.auth.models import User
from django.core.u... | charettes/django-admin-enhancer | tests/tests.py | tests.py | py | 4,871 | python | en | code | 59 | github-code | 71 | [
{
"api_name": "django.contrib.admin.tests.AdminSeleniumWebDriverTestCase",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "django.conf.settings.INSTALLED_APPS",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "django.conf.settings",
"line_number": 20,
... |
15320915618 | from functools import wraps
from django.http import HttpResponseRedirect
import functools
from django.core.exceptions import PermissionDenied
def view_authorized(permissions=None):
def has_permissions(request):
perms = []
if permissions is not None:
perms = permissions
exist =... | ezrankayamba/twiga_pmt | users/decorators.py | decorators.py | py | 840 | python | en | code | 0 | github-code | 69 | [
{
"api_name": "functools.reduce",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "django.core.exceptions.PermissionDenied",
"line_number": 24,
"usage_type": "call"
}
] |
2673754300 | """initial_empty
Revision ID: fde77a68e3dd
Revises:
Create Date: 2022-12-05 17:14:59.972979
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = 'fde77a68e3dd'
down_revision = None
branch_labels = None
depends_on = None
def upgrade() -> None:
# ### commands a... | czech-rep/warsaw-connector | alembic/versions/2022_12_05_1714-fde77a68e3dd_initial_empty.py | 2022_12_05_1714-fde77a68e3dd_initial_empty.py | py | 3,088 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "alembic.op.create_table",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Integ... |
25121346887 | from fastapi import APIRouter, Depends, Body
from fastapi.responses import JSONResponse
from fastapi.encoders import jsonable_encoder
from sqlalchemy.orm import Session
import crud
import schemas
from api.deps import get_current_user, get_db
from models import User, Order, OrderElement
router = APIRouter(
prefix=... | bloczito/ecommerce-shop-server-fastapi | api/orders.py | orders.py | py | 1,679 | python | en | code | 1 | github-code | 69 | [
{
"api_name": "fastapi.APIRouter",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "fastapi.Depends",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "api.deps.get_current_user",
"line_number": 14,
"usage_type": "argument"
},
{
"api_name": "model... |
9378253753 | # Импортируем необходимые модули
import os
from sqlalchemy import Column, DateTime, ForeignKey, Integer, String, Float, create_engine
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import relationship, sessionmaker, Session
from sqlalchemy.sql import func
from dotenv import load_doten... | AIk1r/FastAPI_project | models.py | models.py | py | 2,257 | python | ru | code | 0 | github-code | 69 | [
{
"api_name": "sqlalchemy.ext.declarative.declarative_base",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "dotenv.load_dotenv",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 16,
"usage_type": "call"
},
{
"api_name... |
33270642705 | import json
import os
max_words = 1500
def readjson(input_path):
with open(input_path, 'r', encoding="utf-8") as file:
str = file.read()
data = json.loads(str)
return data
def writejson(dataset, output_path):
with open(output_path, 'w', encoding="utf-8") as file:
for data in datase... | china-ai-law-challenge/CAIL2023 | ssrd/baseline/dataproc/gendata_ev3.py | gendata_ev3.py | py | 1,991 | python | en | code | 19 | github-code | 69 | [
{
"api_name": "json.loads",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 55,... |
33171470475 | from aiogram.types import InputFile
from create_bot import bot
from text import texts
import keyboard
async def send_message_start(message):
await bot.send_video(message.from_user.id, video=InputFile(path_or_bytesio="Video.mp4"), caption=f"{texts['start']}", reply_markup=keyboard.kb_mark_main,)
asyn... | OreoLand123/Your-Clinic | handlers.py | handlers.py | py | 3,425 | python | en | code | 0 | github-code | 69 | [
{
"api_name": "create_bot.bot.send_video",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "create_bot.bot",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "aiogram.types.InputFile",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "text... |
43094065464 | #!/usr/bin/env python2
from pyspeedtest import SpeedTest
from pyspeedtestconfig import credentials, timezone, logfilename
import twitter
import sys
import arrow
if __name__ == '__main__':
api = twitter.Api(**credentials)
st = SpeedTest()
munits = "Mb/s"
time = arrow.utcnow().to(timezone).format('YYYY/M... | poopgiggle/PySpeedTestTweeter | speedtester.py | speedtester.py | py | 1,085 | python | en | code | 0 | github-code | 69 | [
{
"api_name": "twitter.Api",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pyspeedtestconfig.credentials",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "pyspeedtest.SpeedTest",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pyspeed... |
8827896037 | """This module defines classes directly related HTTP request processing."""
import abc
import datetime
import sys
import str_generator
from database import MySQLDatabase
from models import Session
def status_description(status_code):
"""Return description of a specified HTTP status code."""
# Use attribute ... | lichuanzju/ngavatar | src/scripts/libs/ng/http.py | http.py | py | 12,064 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "datetime.timedelta",
"line_number": 92,
"usage_type": "call"
},
{
"api_name": "sys.stdout",
"line_number": 202,
"usage_type": "attribute"
},
{
"api_name": "abc.ABCMeta",
"line_number": 241,
"usage_type": "attribute"
},
{
"api_name": "abc.abstractmet... |
72354529819 | """
AVM SmartHome Actor
~~~~~~~~~~~~~~~~~~~
"""
import logging
logger = logging.getLogger(__name__)
class Actor(object):
"""
Represents a single SmartHome actor.
You usally don't create that class yourself, use FritzBox.get_actors
instead.
"""
def __init__(self, fritzbox, device):
... | DerMitch/fritzbox-smarthome | fritzhome/actor.py | actor.py | py | 5,649 | python | en | code | 49 | github-code | 69 | [
{
"api_name": "logging.getLogger",
"line_number": 7,
"usage_type": "call"
}
] |
22605029486 | from selenium import webdriver
import time
import os
# div 模块定位
# 如果页面有多个div，需要定位的元素在某一个div里，可以优先定位这个div，在此基础上再定位该元素
driver = webdriver.Firefox()
file_path = 'file:///'+os.path.abspath("E:\\课件\\测试工具等\\selenium2html\\modal.html")
driver.get(file_path)
driver.maximize_window()
time.sleep(3)
# 点击主页的 click
driver.find_e... | matilda-art/Software-test | selenium测试/operation/div.py | div.py | py | 806 | python | zh | code | 0 | github-code | 69 | [
{
"api_name": "selenium.webdriver.Firefox",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "os.path.abspath",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path",
... |
22846771585 | import pokepy
import asyncio
your_window_name = "mGBA - 0.10.1" #replace 0.10.1 with your version
game = pokepy.Game("mGBA - 0.10.1")
#simple code that prompts you when it's your turn to play
@game.event
async def on_combat():
print(game.json_info)
user_input = await asyncio.wait_for(asyncio.get_event_loop()... | NoodlesXNoodles/Pokepy-Controller | example.py | example.py | py | 548 | python | en | code | 0 | github-code | 69 | [
{
"api_name": "pokepy.Game",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "asyncio.wait_for",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "asyncio.get_event_loop",
"line_number": 12,
"usage_type": "call"
}
] |
72838640869 | """
WELCOME TO GROUP'S E SUPERVISED PCA
This file contains the function PCAfunction that performs PCA on a data frame
Inputs:
- df: DATA FRAME subject of the PCA analysis
- colstodiscard: LIST of columns of df excluded from PCA analysis
- accuracy: NUMERIC value to indicate the selected accuracy of ... | iyadaqel/ManoelGadiFA | ManoelGadiFA/supervisedPCA.py | supervisedPCA.py | py | 2,871 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "sklearn.preprocessing.scale",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "sklearn.decomposition.PCA",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "numpy.cumsum",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "nu... |
18294834287 | from sklearn.metrics import pairwise_distances
import numpy as np
class MDS:
def __init__(self, n_components=2, max_iter=300, eps=0.001):
self.__n_components = n_components
self.__max_iter = max_iter
self.__eps = eps
self.embedding_ = None
self.stress_ = None
def fit(self, X):
X_distances ... | SnkhchyanV/Dimensional_Reduction_Algorithm | MDS.py | MDS.py | py | 1,084 | python | en | code | 0 | github-code | 69 | [
{
"api_name": "sklearn.metrics.pairwise_distances",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.random.uniform",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_nam... |
17195326500 | import os
import server
import unittest
from unittest.mock import patch
from server import checksum
import tempfile
import logging
from lxml.etree import fromstring, tostring
from formencode.doctest_xml_compare import xml_compare
logging.basicConfig(level=logging.WARN)
class MenuSystemTestCase(unittest.TestCase):
... | Mause/menu_system | test.py | test.py | py | 6,098 | python | en | code | 0 | github-code | 69 | [
{
"api_name": "logging.basicConfig",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "logging.WARN",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "unittest.TestCase",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "server.a... |
9064766531 | import discord
from discord.ext import commands
import datetime
class STREAM_INFO(commands.Cog):
def __init__(self, bot):
self.bot = bot
@commands.command(name='twitch', help='Get the Twitch channel link.')
async def twitch_link(self, ctx):
twitch_url = "https://www.twitch.tv/lgodhatesmel"... | lGodHatesMel/RandomResources | Scripts/Bots/GHM_DiscordBot/cogs/streams.py | streams.py | py | 1,153 | python | en | code | 0 | github-code | 69 | [
{
"api_name": "discord.ext.commands.Cog",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "discord.ext.commands",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "datetime.datetime.now",
"line_number": 14,
"usage_type": "call"
},
{
"api_name":... |
11474912437 | from sklearn.metrics import classification_report
import torch
import json
import numpy as np
from phobert_finetuned import PhoBERT_finetuned
from transformers import AutoModel,AutoTokenizer
import random
device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
# Load train and validation dataset
with op... | hkm15022001/Control_Smart_Home | predict_using_phobert_finetuned.py | predict_using_phobert_finetuned.py | py | 1,631 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "torch.device",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "json.load",
"li... |
73360892060 | import discord
import os
from discord import client
from discord import channel
from discord import message
#import json
#import requests
#from keep_alive import keep_alive
#COMMAND_PREFIX = "&"
client = discord.Client()
@client.event
async def on_ready():
print("Bot is awake")
@client.event
async def on_message(m... | jeevesh2002/KodexBot | bot.py | bot.py | py | 780 | python | en | code | 0 | github-code | 69 | [
{
"api_name": "discord.client",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "discord.Client",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "discord.client.event",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "discord.clien... |
1265262116 | import urllib.request
import datetime
import json
from connection import *
from functions import *
import logging
logging.basicConfig(filename='yttracker.log', level=logging.DEBUG,
format='%(asctime)s %(levelname)s %(name)s %(message)s')
logger = logging.getLogger(__name__)
# establish db connect... | Abdullah-Al-Faysal/yt_trending_videos_crawler | channels.py | channels.py | py | 2,608 | python | en | code | 0 | github-code | 69 | [
{
"api_name": "logging.basicConfig",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "urllib.request... |
41884428955 | from django.urls import path, include
from . import views
app_name = 'core'
urlpatterns = [
path('', views.homepage, name="home_page"),
path('search/', views.AssessmentSearchView.as_view(), name="search"),
path('answer/<int:id_>', views.viewAnswers, name='view_answers'),
path('upload/', views.upload_p... | salahdin/otpss | otpss/core/urls.py | urls.py | py | 925 | python | en | code | 0 | github-code | 69 | [
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
42580202775 | import numpy as np
import pandas as pd
import sqlite3
from werkzeug.security import safe_str_cmp
from flask_restful import Resource, reqparse
from models.user import UserModel
from flask_restplus import abort
class CollegeData(Resource):
parser = reqparse.RequestParser()
parser.add_argument('caste',
t... | RaviMrk/rest-api-flask | resources/clg.py | clg.py | py | 3,377 | python | en | code | 0 | github-code | 69 | [
{
"api_name": "flask_restful.Resource",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "flask_restful.reqparse.RequestParser",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "flask_restful.reqparse",
"line_number": 10,
"usage_type": "name"
},
{
... |
10492400645 | #!/usr/bin/env python
from Adafruit_GPIO import I2C
import logging
import time
# Register Addresses
VL53L0X_REG_SYSRANGE_START = 0x00
VL53L0X_REG_SYSTEM_THRESH_HIGH = 0x0C
VL53L0X_REG_SYSTEM_THRESH_LOW = 0x0E
VL53L0X_REG_SYSTEM_SEQUENCE_CONFIG = 0x01
VL53L0X_REG_SYSTEM_RANGE_CONFIG = 0x09
VL53L0X_REG_SYSTEM_INTERMEA... | tyrm/Rover-A | rover_a/vl53l0x.py | vl53l0x.py | py | 17,466 | python | en | code | 0 | github-code | 69 | [
{
"api_name": "logging.getLogger",
"line_number": 116,
"usage_type": "call"
},
{
"api_name": "Adafruit_GPIO.I2C",
"line_number": 121,
"usage_type": "name"
},
{
"api_name": "time.sleep",
"line_number": 380,
"usage_type": "call"
},
{
"api_name": "logging.warn",
... |
25878130020 | import logging
logger = logging.getLogger(__name__)
from book import book
def manual_entry() -> book:
'''
The user manually creates a new entry to be stored in the database.
'''
title = input("Please enter the title of the book (leave blank if not "
"known): ")
title = title if le... | GNY-001F2/toshokan | manual_entry.py | manual_entry.py | py | 2,852 | python | en | code | 0 | github-code | 69 | [
{
"api_name": "logging.getLogger",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "book.book",
"line_number": 64,
"usage_type": "call"
},
{
"api_name": "book.book",
"line_number": 5,
"usage_type": "name"
}
] |
16014984036 | import numpy as np
from keras.models import Sequential
from keras.layers import Dense, Flatten, Conv2D, MaxPooling2D, Dropout
from keras.datasets import fashion_mnist
# 1. 데이터
(x_train, y_train), (x_test, y_test) = fashion_mnist.load_data()
print(x_train.shape, y_train.shape) # (60000, 28, 28) (60000,)
print(x_test.s... | bibibigg/bitcamp-AIstudy | cnn_study/tf01_cnn_fashionMnist.py | tf01_cnn_fashionMnist.py | py | 1,454 | python | en | code | 0 | github-code | 69 | [
{
"api_name": "keras.datasets.fashion_mnist.load_data",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "keras.datasets.fashion_mnist",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "keras.models.Sequential",
"line_number": 23,
"usage_type": "call"
},
... |
73189103908 | import pygame
class Menu():
down = pygame.transform.scale(pygame.image.load("Assets/base.png"), (300, 100))
flag = pygame.transform.scale(pygame.image.load("Assets/pngegg.png"), (600, 200))
flag_movement = (500, 100)
game_over = pygame.transform.scale(pygame.image.load("Assets/gameover.png"), (... | mustafaozturkmen/Python | Simple Projects/flappy_bird/menu.py | menu.py | py | 5,365 | python | en | code | 1 | github-code | 71 | [
{
"api_name": "pygame.transform.scale",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "pygame.transform",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "pygame.image.load",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "pygame.im... |
72702152859 | import os
import coverage
import unittest
from flask.cli import FlaskGroup
from api import create_app, db
dir_path = os.path.dirname(os.path.realpath(__file__))
data_path = os.path.join(dir_path, "data")
COV = coverage.coverage(
branch=True,
include='api/*',
omit=[
'tests/*',
... | ishiland/geonames-api | backend/manage.py | manage.py | py | 6,219 | python | en | code | 1 | github-code | 69 | [
{
"api_name": "os.path.dirname",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "os.path.realpath",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_n... |
23045153982 | from string import ascii_lowercase as letters
import secrets
class Cipher:
def __init__(self, key = None):
if key and (key.islower() and key.isalpha()):
self.key = key
else:
self.key = "".join((secrets.choice(letters) for _ in range(100)))
self.key_len = len(se... | kielbmich/Exercism | simple-cipher/simple_cipher.py | simple_cipher.py | py | 1,028 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "secrets.choice",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "string.ascii_lowercase",
"line_number": 11,
"usage_type": "argument"
},
{
"api_name": "string.ascii_lowercase.index",
"line_number": 17,
"usage_type": "call"
},
{
"api_name":... |
2301116579 | from django.conf.urls import url
from django.urls import path
from . import views
app_name = 'app01'
urlpatterns = [
path('sudoku', views.app_sudoku, name='sudoku'),
path('sudoku_solve', views.app_sudoku_solve, name='sudoku_solve'),
path('user', views.app_user, name='user'),
path('icons', views.app_... | khosoi/sudoku | app01/urls.py | urls.py | py | 727 | python | en | code | 0 | github-code | 71 | [
{
"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",
... |
24133716100 | import logging
import json
from datetime import date
from django.contrib.auth import authenticate, login, logout
from django.contrib.auth.decorators import login_required, permission_required
from django.contrib.auth.mixins import LoginRequiredMixin, PermissionRequiredMixin
from django.http import HttpResponse, Http40... | zwj12/accounting | cash/views.py | views.py | py | 3,334 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "logging.getLogger",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.mixins.PermissionRequiredMixin",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "django.views.generic.ListView",
"line_number": 21,
"usage_type": "at... |
30192357462 | import sys
_module = sys.modules[__name__]
del sys
infer_pair = _module
lib = _module
data = _module
loss = _module
network = _module
operation = _module
trainer = _module
util = _module
general = _module
global_norm = _module
motion = _module
visualization = _module
render_interpolate = _module
scripts = _module
compu... | eladhoffer/pytorch-jit-paritybench | generated/test_yzhq97_transmomo_pytorch.py | test_yzhq97_transmomo_pytorch.py | py | 29,525 | python | en | code | null | github-code | 71 | [
{
"api_name": "sys.modules",
"line_number": 2,
"usage_type": "attribute"
},
{
"api_name": "_paritybench_helpers.patch_functional",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "unittest.mock.mock_open",
"line_number": 32,
"usage_type": "call"
},
{
"api... |
21325660248 | import logging
class logger:
def __init__(self):
self.logger = logging.getLogger(__name__)
self.logger.setLevel(logging.DEBUG)
formatter = '%(asctime)s:%(name)s:%(levelname)s:%(message)s'
file_handler = logging.FileHandler('appLog.log')
file_handler.setFormatter(formatte... | krishph/Python | logging/logger.py | logger.py | py | 369 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "logging.getLogger",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "logging.FileHandler",
"line_number": 12,
"usage_type": "call"
}
] |
5415157508 | import logging
import sys
from logging.config import dictConfig
FORMAT = "%(message)s"
dictConfig({
'version': 1,
'formatters': {
'default': {
'format': FORMAT,
}},
'handlers': {
'wsgi': {
'class': 'logging.StreamHandler',
'stream': sys.stdout,
... | Alea4jacta6est/typical_ner | model_app/app/utils/logger.py | logger.py | py | 477 | python | ru | code | 0 | github-code | 71 | [
{
"api_name": "logging.config.dictConfig",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "sys.stdout",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
"line_number": 25,
"usage_type": "call"
}
] |
28797522424 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""Tests del modulo pydatajson."""
from __future__ import print_function
from __future__ import unicode_literals
from __future__ import with_statement
import os.path
import unittest
import nose
import openpyxl as pyxl
from pydatajson.helpers import fields_to_uppercase
... | datosgobar/pydatajson | tests/test_helpers.py | test_helpers.py | py | 9,212 | python | es | code | 13 | github-code | 71 | [
{
"api_name": "unittest.TestCase",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "os.path.path.join",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "os.path.path",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "os.path",
... |
36433265057 | import cv2
import mediapipe as mp
# Video capture settings
cap = cv2.VideoCapture(0)
cap.set(3, 640)
cap.set(4, 480)
# Pose definitions
mpPose = mp.solutions.pose
pose = mpPose.Pose()
mpDraw = mp.solutions.drawing_utils
while cap.read():
# Reading frame
success, img = cap.read()
# It's optional, we ... | turgay2317/opencv-python-examples | Example 10 - Pose Estimation (Hug yourself)/example.py | example.py | py | 1,717 | python | en | code | 4 | github-code | 71 | [
{
"api_name": "cv2.VideoCapture",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "mediapipe.solutions",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "mediapipe.solutions",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "cv2... |
270973666 | import cv2
frame = cv2.imread("../img/papas.jpg")
kernel_size = (7,7)
blur = cv2.GaussianBlur(frame, kernel_size, 0)
#############################
#TO-DO apply multiple filters
#############################
cv2.imshow("Frame", frame)
cv2.imshow("Blur", blur)
cv2.waitKey(0)
cv2.destroyAllWindows()
| LuisFonti/ComputerVisionCourse | code/filter.py | filter.py | py | 305 | python | de | code | null | github-code | 71 | [
{
"api_name": "cv2.imread",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "cv2.GaussianBlur",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "cv2.imshow",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "cv2.imshow",
"line_number": ... |
9055838391 | import progressbar
import torch
import youtokentome as yttm
from morpho_common import SimpleKBVocab, build_kinlp_morpho_lib, RichParsedToken, parse_raw_text_lines
from kinyabert_utils import read_lines,time_now
def parse_documents_corpus(home_path, in_file_path, out_file_path):
print(time_now(),'Processing', in_... | anzeyimana/kinyabert-acl2022 | code/process_parsed_only_corpus.py | process_parsed_only_corpus.py | py | 3,985 | python | en | code | 14 | github-code | 71 | [
{
"api_name": "kinyabert_utils.time_now",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "youtokentome.BPE",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "morpho_common.SimpleKBVocab",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": ... |
31622587328 | # @Time : 2022-08-20 21:28
# @Author : Phalange
# @File : 1475. 商品折扣后的最终价格.py
# @Software: PyCharm
# C'est la vie,enjoy it! :D
from typing import List
class Solution:
def finalPrices(self, prices: List[int]) -> List[int]:
n = len(prices)
ans = [0] *n
stack = []
for i in range(n):
... | enternityFan/LeetCodePythonVersion | 单调栈/1475. 商品折扣后的最终价格.py | 1475. 商品折扣后的最终价格.py | py | 663 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "typing.List",
"line_number": 10,
"usage_type": "name"
}
] |
13592101237 | def limpar():
arquivo = open('txtRegistro.txt','w')
print('\n Processo de limpeza realizado com sucesso!')
arquivo.close()
def dia():
import time
dia = time.ctime()
if 'Sun' in dia:
return 'DOM'
elif 'Mon' in dia:
return 'SEG'
elif 'Tue' in dia:
return... | jmurilojm/estudos_Python | txtRegistro.py | txtRegistro.py | py | 2,349 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "time.ctime",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "datetime.datetime.... |
20616624581 | from django.urls import path
from . import views
from .views import ProductListView, ProductDetailView
app_name = 'inventory'
urlpatterns = [
path("employee/", views.employee, name="employee"),
path("category/", views.category, name="category"),
path("products/", ProductListView.as_view(), name="product_l... | FX2One/fx-django-ecommerce-app | fxecommerce/inventory/urls.py | urls.py | py | 420 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "django.urls.path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "views.employee",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "django.urls.path",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "views.category",
... |
18591514661 | import numpy as np
from sklearn.base import BaseEstimator, TransformerMixin
import matplotlib.pyplot as plt
import seaborn as sns; sns.set()
class GaussianFeatures(BaseEstimator, TransformerMixin):
"""Uniformly spaced Gaussian features for one-dimensional input"""
def __init__(self, N, width_factor=2.0):
... | sundeshgupta/Machine-Learning-Toolkit | cgi-bin/utils.py | utils.py | py | 1,768 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "seaborn.set",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "sklearn.base.BaseEstimator",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "sklearn.base.TransformerMixin",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "num... |
11499773423 | from django.shortcuts import render
from datetime import datetime , timedelta
# Create your views here.
def seting(request): # there the request came
response = render(request , 'set.html')
# response.set_cookie('name' , 'ritik' ,max_age=60)
# response.set_cookie('iname' , 'ritik' ,expires=datetime.utcn... | ritiksharmaaa/learn_django | learn/cookies/demo/views.py | views.py | py | 1,248 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "django.shortcuts.render",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.utcnow",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "dat... |
7957078476 | import collections
import os
class IsoCreator(object):
def __init__(self, source_dir, target_file, executor=None):
self.source_dir = source_dir
self.target_file = target_file
self.executor = executor
def create(self):
self.executor([
'mkisofs',
'-r',
... | lakat/unattended-iso | uiso/iso.py | iso.py | py | 3,256 | python | en | code | 1 | github-code | 71 | [
{
"api_name": "collections.namedtuple",
"line_number": 87,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 95,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 95,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
... |
40246641337 | import json
import random
import uuid
from datetime import date, datetime
from enum import Enum
from typing import List, Optional, Dict
from sqlalchemy import and_, outerjoin
from sqlalchemy.ext.asyncio import AsyncSession
from sqlalchemy.future import select
from helpers.session_context import SessionContext#, join, o... | derivative-programming/Farm-Py-SqlAlchemy-FastApi | managers/organization.py | organization.py | py | 12,860 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "services.logging_config.get_logger",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "helpers.session_context.SessionContext",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "services.db_config.db_dialect",
"line_number": 28,
"usage_type"... |
32244380922 | import numpy as np
import os
from keras.models import Sequential, load_model
from keras.layers import Dense, Conv2D, Flatten, MaxPool2D, Dropout
from keras.optimizers import Adam, SGD
import cv2
def create_model():
model = Sequential()
model.add(Dense(1056, activation="relu", input_shape=(32, 33)))
model.... | CasJanse/super_hexagon_AI | number_recognition.py | number_recognition.py | py | 1,113 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "keras.models.Sequential",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "keras.layers.Dense",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "keras.layers.Flatten",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "keras... |
31759223370 | import sys
from collections import deque
def part1(grid,max_x,max_y):
part1 = 0
for xa in range(max_x+1):
for ya in range(max_y+1):
if grid[(xa,ya)][0] > 0: #non-empty
for xb in range(max_x+1):
for yb in range(max_y+1):
if (xa,ya) ... | andrewfroehlich/AdventOfCode | 2016/problem22.py | problem22.py | py | 2,609 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "collections.deque",
"line_number": 18,
"usage_type": "call"
}
] |
39409723162 | import requests
import json
port = 59224
baseUrl = 'http://localhost:{}/'.format(port)
# Check if Bottango is currently able to animate
#
# response data:
# bool canAnimate
requestUrl = baseUrl + 'CanAnimate/'
try:
response = requests.get(requestUrl)
response.raise_for_status()
responseData = response.json()
pri... | EvanBottango/Bottango | PlaybackControlAPI/Example_CanAnimate.py | Example_CanAnimate.py | py | 466 | python | en | code | 11 | github-code | 71 | [
{
"api_name": "requests.get",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "requests.exceptions",
"line_number": 19,
"usage_type": "attribute"
}
] |
6395888470 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Date : 2016-01-01 10:10:32
# @Author : Zhaifg (zhaifengguo@foxmail.com)
# @Link : http://htop.me
# @Version : $Id$
import threading
import time
import logging
logging.basicConfig(level=logging.DEBUG,
format='(%(threadingName)-10s) %(message)s... | zhaifg/skills-and-tutorial | Python/Python Module/threading_daemon.py | threading_daemon.py | py | 645 | python | en | code | 1 | github-code | 71 | [
{
"api_name": "logging.basicConfig",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "logging.debug",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "time.sleep",
... |
22212340741 | import datetime
import stashy
from pybitbucket37.auth import BasicAuthenticator
from pybitbucket37.bitbucket import Client
from pybitbucket37.repository import Repository, RepositoryRole
from pybitbucket37.team import Team
from pybitbucket37.pullrequest import PullRequest
XLS_DATE_FORMAT = "%Y-%m-%d %H:%M:%S"
ISO_DATE... | cormaxed/bitbucket-helper | helperlib/bitbucket/bitbucket_api.py | bitbucket_api.py | py | 6,000 | python | en | code | 1 | github-code | 71 | [
{
"api_name": "stashy.connect",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.utcfromtimestamp",
"line_number": 86,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 86,
"usage_type": "attribute"
},
{
"api_name... |
41995942954 | import argparse
from pyspark.sql import functions as f
from pyspark.sql.dataframe import DataFrame
from pyspark.sql import SparkSession
import pendulum
def operacao_agrupada(df_param: DataFrame) -> DataFrame:
"""Função para gerar o dataframe de operação agrupado
Args:
df_param (DataFrame): dataframe
... | rodrigorocha1/monitoramento_sptrans | src/data_transform/tranformacao_dataframe.py | tranformacao_dataframe.py | py | 6,267 | python | pt | code | 0 | github-code | 71 | [
{
"api_name": "pyspark.sql.dataframe.DataFrame",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "pyspark.sql.functions.explode",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "pyspark.sql.functions",
"line_number": 17,
"usage_type": "name"
},
{
... |
15960931293 | # https://leetcode.com/problems/reverse-string/
from typing import List
class ReverseString:
@staticmethod
def reverse_string(s: List[str]) -> None:
s.reverse()
if __name__ == '__main__':
test = ReverseString()
test_string = ["h", "e", "l", "l", "o"]
test.reverse_string(test_string)
... | antykwar/python-algorithms | leetcode_tasks/reverse_string.py | reverse_string.py | py | 340 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "typing.List",
"line_number": 8,
"usage_type": "name"
}
] |
71693791269 | from selenium.webdriver.chrome.options import Options
from selenium import webdriver
import time
import pymysql
from Libsql import create_table,insert_into,update
from urllib.robotparser import RobotFileParser
#______________________________________________________________________________#
class DataColumn:
'''
... | GaboUCR/Web-Scraping-with-Python | Virginia Listing practice/Libselenium.py | Libselenium.py | py | 9,049 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "urllib.robotparser.RobotFileParser",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.chrome.options.Options",
"line_number": 102,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 106,
"usage_type... |
6444246511 | import numpy as np
from PIL import Image
from scipy.signal import convolve2d
import matplotlib.pyplot as plt
import pickle
import DataHandler
import logging
logger = logging.getLogger('root.' + __name__)
logger.addHandler(logging.NullHandler())
def flipped(matrix):
"""
Flip matrix horizontally and vertically... | matkrak/enlargeme | CCRBM.py | CCRBM.py | py | 21,472 | python | en | code | 3 | github-code | 71 | [
{
"api_name": "logging.getLogger",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "logging.NullHandler",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.ndarray",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.exp",
"... |
16412560675 | import sys, os, stat, glob, importlib.util, importlib, subprocess
this_path = os.path.dirname(os.path.abspath(__file__))
sys.path.append(os.path.join(this_path, "..", "infra"))
import infra
def import_file(filepath):
name = os.path.splitext(os.path.split(filepath)[1])[0]
spec = importlib.util.spec_from_file_... | shooshx/led_console | launcher/main.py | main.py | py | 5,510 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "os.path.dirname",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "sys.path.append",
"line... |
29971594539 | import numpy as np
import torch
from torch.utils.data import Dataset, DataLoader
import pandas as pd
import os
import glob as glob
import skimage.io as io
from skimage.transform import resize
# import albumentations as A
# from albumentations.pytorch import ToTensorV2
from src.config import CLASSES, RESIZE_TO, TRAIN... | spinonoir/hlc-polyp-detection | data_utils/old/MaskedPolypDataset.py | MaskedPolypDataset.py | py | 3,664 | python | en | code | 2 | github-code | 71 | [
{
"api_name": "torch.utils.data.Dataset",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "os.path.join",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
... |
40336395966 | from tkinter import * # библиотека
import requests # библиотека
def get_crypt(): # функция
"""ДАННАЯ ФУНКЦИЯ ВЫПОЛНЯЕТ ПАРСИНГ КРИПТОВАЛЮТЫ С САЙТА COINMARKETCAP"""
global info # переменная
global metka # переменная
metka.destroy() # удаляет метку при повторном получаении информации о криптовалюте
l... | Pashitza/Fill | Pars.py | Pars.py | py | 2,299 | python | ru | code | 0 | github-code | 71 | [
{
"api_name": "requests.get",
"line_number": 9,
"usage_type": "call"
}
] |
7476517871 | import sys
import nltk.data
from nltk.tokenize import sent_tokenize
tokenizer = nltk.data.load('tokenizers/punkt/japanese.pickle')
SAMPLE_SIZE = 1024
sample = sys.stdin.read(SAMPLE_SIZE)
while sample:
tokenized_sents = tokenizer.tokenize(sample)
for sentence in tokenized_sents:
sys.stdout.write(sent... | samagino/SP19-LING-L445 | 01_Tokenisation/punkt_segmenter.py | punkt_segmenter.py | py | 375 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "nltk.data.data.load",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "nltk.data.data",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "nltk.data",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "sys.stdin.read",
"... |
11209920535 | import torch
from torch import nn
import torch.nn.functional as F
from torch.nn import BatchNorm1d
from torch.nn import Sequential, Linear, ReLU
from torch_geometric.nn import GINConv, global_add_pool, global_mean_pool
class GIN(torch.nn.Module):
def __init__(self, dim_features, dim_target, model_configs, datase... | CAVED123/MolRep111 | MolRep/Models/graph_based/GIN.py | GIN.py | py | 4,386 | python | en | code | 1 | github-code | 71 | [
{
"api_name": "torch.nn",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "torch_geometric.nn.global_add_pool",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "torch_geometric.nn.global_mean_pool",
"line_number": 26,
"usage_type": "name"
},
{
... |
10762409448 | from unittest.mock import MagicMock, patch
import pytest
from app.domain.entities import Tank
from app.domain.enums import Direction
from app.domain.utils import Size, Vector
class _ModulePatch:
_PATH = "app.domain.entities.tank"
BULLET_FACTORY = f"{_PATH}.BulletFactory"
class TestsTank:
@patch(_Modul... | aleshabrave/battle_city | tests/domain/entities/test_tank.py | test_tank.py | py | 1,906 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "unittest.mock.MagicMock",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "app.domain.entities.Tank.__post_init__",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "app.domain.entities.Tank",
"line_number": 20,
"usage_type": "name"
},
... |
6125207221 | import os
import sys
import collections
import numpy as np
import matplotlib.pyplot as plt
from sklearn.model_selection import train_test_split
class scoring():
# This class includes all helper functions that can be used to assess performance of culling technique
def __init__(self, featureNames):
... | Samwich1998/Stress-Analysis-Head | _Supplementary/Blink Identification/featureSelection.py | featureSelection.py | py | 16,202 | python | en | code | 3 | github-code | 71 | [
{
"api_name": "collections.Counter",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "collections.Counter",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "collections.Counter",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "collectio... |
40231391727 | import numpy as np
import gym
import matplotlib.pyplot as plt
if __name__ == "__main__":
ENV = gym.make("FrozenLake-v0")
DISCOUNT = 0.9
EPSILON = 0.1
POSSIBLE_ACTIONS = [0, 1, 2, 3]
STATE_SPACE = list(range(16))
ESTIMATES = {}
RETURNS = {}
PAIRS_VISITED = {}
for state in STATE_SPAC... | paulfioravanti/Reinforcement-Learning-In-Motion | Unit-6-The-Windy-Gridworld/frozen_lake.py | frozen_lake.py | py | 2,935 | python | en | code | 1 | github-code | 71 | [
{
"api_name": "gym.make",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "numpy.random.choice",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "numpy.array",
"line... |
9417810258 | import os
from argparse import ArgumentParser
import datasets
import yaml
from togepi.data_processors.tokenizers.tokenizer import TogepiTokenizer
from togepi.utils.utils import set_seed
def main(config_path, hf_dataset_path, path_to_store_hf_tokenizer):
set_seed(seed=42)
with open(config_path, 'r') as fp:
... | TushaarGVS/togepi | scripts/data_preprocessing/build_tokenizer.py | build_tokenizer.py | py | 1,216 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "togepi.utils.utils.set_seed",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "yaml.safe_load",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "datasets.load_from_disk",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "to... |
23748863264 | # get the data needed to plot the TEP with a quiver plot on top of it
import numpy as np
#import pickle
import os
import pandas as pd
import csv
from scipy.interpolate import interp1d
import sys
sys.path.insert(0,'../../functions') # so I can import the functions
from cycle_funcs import calc_fitness, calc_dfitness, s... | nadiahpk/sumatran-dispersal-dimorphism | scripts/circular/find_dimorph_isocline_1_0.py | find_dimorph_isocline_1_0.py | py | 6,113 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "sys.path.insert",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "pandas.read_csv",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"... |
33892293657 | import json
import random
with open('data/LLMScience.json',encoding='utf-8') as f:
datas = json.load(f)
datas = datas[:200]
# datas = random.sample(datas, 5)
prompt = """Question: {}
A: {}
B: {}
C: {}
D: {}
E: {}
Answer: {}"""
# 筛选出所有答案为A,B,C,D,E的数据
data_A = [item for item in datas if item['answer'] == 'A']
da... | GasolSun36/llm_science | utils/sample_few_shot.py | sample_few_shot.py | py | 1,323 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "json.load",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "random.choice",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "random.choice",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "random.choice",
"line_number... |
70515990630 | import json
# результат матча
file_name1 = "processed_data (1).json"
# исходники для матчера
file_name2 = "input_data.json"
with open(file_name1, 'r+', encoding='utf-8') as file1:
with open(file_name2, 'r', encoding='utf-8') as file2:
print(type(file1))
file1 = json.load(file1)
file2 = jso... | BlekDark/matcher | Microservices/parser_pair_csv_to_json/add_true_pair.py | add_true_pair.py | py | 1,646 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "json.load",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_number": 36,
"usage_type": "call"
}
] |
17572631429 | import matplotlib.pyplot as plt
import numpy as np
import tensorflow as tf
from sklearn import metrics
import pandas as pd
import pickle
from keras.optimizers import Adam
from keras.models import Model
from keras.layers import Dense
from keras.layers import Input
from keras.layers import Flatten
from keras.layers imp... | tumng2002/csse4011-thor-gold | ml_model/ml_model.py | ml_model.py | py | 5,024 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "keras.layers.Input",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "keras.layers.Conv2D",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "keras.layers.Dropout",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "keras.lay... |
75080717349 | from selenium import webdriver
import time
browser = webdriver.Chrome('C://Users//20143//Desktop//chromedriver.exe')
browser.get("https://basecamp.robolink.com/cwists/category#products=%5B1%5D&selected_sort_by=alphabetical")
time.sleep(5)
button = browser.find_element_by_xpath('//*[@id="activity-search-results... | hazelZzang/Crawling | crawler.py | crawler.py | py | 1,412 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "time.sleep",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "time.sleep",
... |
27130263298 | import numpy as np
import pandas as pd
from sqlalchemy import create_engine, MetaData, Table, Column, Integer, \
String, Float, DateTime, ForeignKeyConstraint, ForeignKey,\
Enum, UniqueConstraint, Boolean
from geoalchemy2 import Geometry
import website.models as m
# Pand... | npmcdn-to-unpkg-bot/mircs-geogenealogy | mircsgeo/website/table_generator.py | table_generator.py | py | 7,176 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "sqlalchemy.Integer",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Float",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.DateTime",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.St... |
29515190212 | # Author : Tim Destan
# Feature based clusterer
from collections import defaultdict
from qbcommon import all_pairs_symmetric
from featurespace import *
import logging
logger = logging.getLogger("FeatureClusterer")
class ScoreTypes(object):
DISTANCE = "DISTANCE"
SIMILARITY = "SIMILARITY"
class GuidGenerator(obje... | timdestan/quiz-bowl-entity-resolution | cluster.py | cluster.py | py | 9,300 | python | en | code | 1 | github-code | 71 | [
{
"api_name": "logging.getLogger",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "qbcommon.all_pairs_symmetric",
"line_number": 158,
"usage_type": "call"
}
] |
13050103713 | from typing import Optional, Dict, Any
from django.contrib.auth.models import AnonymousUser
from users.models import JustfixUser
class GraphQLStaticRequest:
"""
This represents a GraphQL request made on behalf of front-end
code that is trying to generate static content--such as a PDF
or email text--a... | JustFixNYC/tenants2 | project/graphql_static_request.py | graphql_static_request.py | py | 1,220 | python | en | code | 23 | github-code | 71 | [
{
"api_name": "typing.Optional",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "users.models.JustfixUser",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "typing.Dict"... |
10876392821 | import os
import sys
import logging
import json
config_logger = logging.getLogger("main")
class Configuration():
@property
def DEBUG(self):
if "WINGDB_ACTIVE" in os.environ:
return False
else:
return True
@property
def TESTING(self):
return False
@property
def DATABASE_URI(s... | jaimeviloria/flask-riak-mcollective-ldap3 | app/models/config.py | config.py | py | 1,283 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "logging.getLogger",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "json.loads",
"li... |
69849810149 | from datetime import date
from decimal import Decimal
from django.test import TestCase
from charcoallog.investments.forms import InvestmentDetailsForm
from charcoallog.investments.models import NewInvestmentDetails
class InvestmentDetailsFormTest(TestCase):
def test_form_has_fields(self):
""" Form must ... | hpfn/charcoallog | charcoallog/investments/tests/test_investment_detail_form.py | test_investment_detail_form.py | py | 1,866 | python | en | code | 4 | github-code | 71 | [
{
"api_name": "django.test.TestCase",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "charcoallog.investments.forms.InvestmentDetailsForm",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "django.test.TestCase",
"line_number": 22,
"usage_type": "name"
... |
27632437785 | import pandas as pd
import matplotlib
import matplotlib.pyplot as plt
import os
directory = os.fsencode('../stations/')
l = []
for s in os.listdir(directory):
s = s.decode('ascii')
if s.startswith('augusta'):
l.append(s)
l.sort()
files = []
for i in range(len(l)):
files.append(pd.read_csv('../stations/'+l[i], de... | elevitanz/Extreme_Events_Sicily | SI/augusta_full_view/global.py | global.py | py | 2,265 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "os.fsencode",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pandas.concat",
"line_number... |
31065257078 | # -*- coding: utf-8 -*-
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import scipy as sp
import scipy.stats
'''
Git command line:
git add 'baseball_data.py'
git commit -m 'initial commit'
git remote add origin https://github.com/cjpeck/baseball_data.git
git push -u origin master
'''
def get... | cjpeck/baseball_data | baseball_data.py | baseball_data.py | py | 10,122 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "numpy.sum",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "pandas.Series",
"line... |
20508252548 | from datetime import datetime
from pynput.keyboard import Key, Controller
import time, os
keyboard = Controller()
browser = "google-chrome" # replace it with your browser
link = "jcx-sgnp-dra" # set your link here
meet_time = ("12:14:30") # set your time here
def presstabkey(num, tym, keys):
time.slee... | A-L-V-I-N/gmeet_automate | gmeet_automate_linx.py | gmeet_automate_linx.py | py | 673 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "pynput.keyboard.Controller",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pynput.keyboard.Key.enter",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "p... |
37359988795 | import grpc
import pytest
from couchers import errors
from couchers.db import session_scope
from couchers.models import Cluster, User
from couchers.servicers.admin import Admin
from proto import admin_pb2, admin_pb2_grpc
from tests.test_fixtures import db, generate_user, get_user_id_and_token, real_session, testconfig... | chrisschaaf/couchers | app/backend/src/tests/test_admin.py | test_admin.py | py | 5,937 | python | en | code | null | github-code | 71 | [
{
"api_name": "pytest.fixture",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "tests.test_fixtures.real_session",
"line_number": 61,
"usage_type": "call"
},
{
"api_name": "proto.admin_pb2_grpc.add_AdminServicer_to_server",
"line_number": 61,
"usage_type": "attr... |
12285667767 | #!/usr/bin/env python
import pika
import sys, time, datetime
from pathlib import Path
# Se o cliente for executado no windows ou Visual Studio Code, descomentar a linha abaixo
#sys.path.insert(0, str(Path().resolve()))
# Se o cliente for executado no linux, descomentar a linha abaixo
sys.path.insert(0, str(Path().reso... | raphaelcomph-dev/TCC | AMQP/client.py | client.py | py | 3,228 | python | pt | code | 0 | github-code | 71 | [
{
"api_name": "sys.path.insert",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "pathlib.Path",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "data.Data",
"line_number"... |
32848493052 | from PyQt5.QtCore import Qt
from PyQt5.QtWidgets import QApplication, QWidget, QLabel, QPushButton, QVBoxLayout
app = QApplication([])
main_win = QWidget()
main_win.setWindowTitle('TRASH')
main_win.resize(400, 250)
label = QLabel("Натисни щоб дізнатись переможця")
result = QLabel("?")
btn = QPushButto... | BruhWaxie/window | program.py | program.py | py | 529 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "PyQt5.QtWidgets.QApplication",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtWidgets.QWidget",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtWidgets.QLabel",
"line_number": 12,
"usage_type": "call"
},
{
"api_nam... |
22276260522 | import numpy as np
import pandas as pd
import pytest
from sklearn.base import clone
from sklearn.pipeline import Pipeline
from sklearn.utils.estimator_checks import check_estimator
from feature_engine.timeseries.forecasting import (
ExpandingWindowFeatures,
LagFeatures,
WindowFeatures,
)
from tests.estimat... | feature-engine/feature_engine | tests/test_time_series/test_forecasting/test_check_estimator_forecasting.py | test_check_estimator_forecasting.py | py | 2,152 | python | en | code | 1,587 | github-code | 71 | [
{
"api_name": "feature_engine.timeseries.forecasting.LagFeatures",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "feature_engine.timeseries.forecasting.WindowFeatures",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "feature_engine.timeseries.forecasting.Expa... |
34107899843 | import sys
from PyQt5.QtWidgets import *
from PyQt5.QtGui import *
from PyQt5.QtCore import Qt
from PyQt5 import uic
import pandas as pd
import openpyxl
import datetime as pydatetime
form_class = uic.loadUiType("ui/main_page_test.ui")[0]
class WindowClass(QMainWindow, form_class) :
def __init__(self) :
s... | PsycIT/Edu_Exp_App | tmp/main_only_page.py | main_only_page.py | py | 1,758 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "PyQt5.uic.loadUiType",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "PyQt5.uic",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "pandas.DataFrame",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.tod... |
40308018977 | import math
import numpy as np
import matplotlib.pyplot as plt
File = open("Galaxy1.txt","r")
next(File)
radius=[]
V=[]
mV=[]
m=[]
DMmassV=[]
CmassV=[]
#m[radius.index(i)]+ 4*math.pi*(100*10**6)*(1.87**2)*(i-1.87*np.arctan(i/1.87))
for i in File.readlines():
radius.append(float(i.split()[0]))
V.append(floa... | Emlyn25/Physics-project-code-and-images | Q9_10_11.py | Q9_10_11.py | py | 1,082 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "math.sqrt",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "math.pi",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "numpy.arctan",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "math.sqrt",
"line_number": 26... |
3912305531 | from enum import IntEnum
import requests
import time
import json
import logging
import os
logger = logging.getLogger('charger')
logger.setLevel(logging.INFO)
from sink import Sink
data_override_file="debug_data.json"
MIN_AMP=6
TIMEOUT_DETECT_VEHICLE = 60
TIMEOUT_WAIT_FOR_PLUG_IN = 12
UPHYSTERESIS = 20
DOWNHYSTERESIS ... | amandebu/pichaco3 | charger.py | charger.py | py | 15,842 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "logging.getLogger",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "enum.IntEnum",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "enum.IntEnum",
"li... |
31564588326 | # -*- coding: utf-8 -*-
# https://github.com/latefyr/kicadcreo.git
# MIT license
#
# Parse Creo Schematic cable file and take harness numbers and
# wire/cable lengths back to Kicad schematic.
#
# Do not overwrite the original Schematic.
#
# Copyright (C) LasseFyr 2019.
#
# This has been tested only with Cr... | lassefyr/kicadToCreo | xmlReadCreo.py | xmlReadCreo.py | py | 22,591 | python | en | code | 3 | github-code | 71 | [
{
"api_name": "os.path.exists",
"line_number": 61,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 61,
"usage_type": "attribute"
},
{
"api_name": "shutil.move",
"line_number": 62,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_nu... |
3900162868 | from django.shortcuts import render, redirect
from .models import Show
from django.contrib import messages
def shows(request):
context = {
"shows":Show.objects.all()
}
return render(request, "index.html", context)
def index(request):
return redirect("/shows")
def new_show(request):
return... | edanik90/pythonStack | django/djangoFullStack/tv_shows_project/tv_shows_app/views.py | views.py | py | 1,916 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "models.Show.objects.all",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "models.Show.objects",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "models.Show",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.shor... |
28267958268 | #!/usr/bin/env python
# -*- coding:utf-8 -*-
import re
import requests
import os
import base64
#导入thrift的python模块
from thrift import Thrift
from thrift.transport import TSocket
from thrift.transport import TTransport
from thrift.protocol import TBinaryProtocol
#导入编译生成的hbase 模块
from myThrift.hbase import THBaseService... | AlvisZhao/TrainingSpider | Python2Hbase/myThrift/SpiderNum01.py | SpiderNum01.py | py | 4,711 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "requests.get",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "re.findall",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "thrift.transport.TSocket.TSocket",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "thrift.trans... |
41044906912 | import requests
from bs4 import BeautifulSoup
products_to_track = [
{
"URL":"https://www.nike.com/in/t/air-jordan-1-mid-se-shoes-CQ6f9G/DV1308-104",
"Price":"12295.00",
"Target_price":13000.00
},
{
"URL":"https://www.nike.com/in/t/air-jordan-1-mid-shoes-SQf7DM/DQ... | AdithyaMarla/WebScrapingProject | main.py | main.py | py | 1,890 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "requests.get",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 38,
"usage_type": "call"
}
] |
20177498223 | # encoding=utf-8
__author__ = 'YiTao'
import os
import sys
import logging
from datetime import *
class LogHelper:
def __init__(self):
self.log = self.getlog()
def info(self, message):
self.log.info(message)
def error(self, message):
self.log.error(message)
def getlog(self):... | mike-hmr/Python-PythonDemo | loghelper.py | loghelper.py | py | 1,241 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "logging.getLogger",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "logging.Formatter",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "os.path",
"lin... |
20622106705 | from datetime import datetime
from bson import ObjectId
import ext_requests.mongodb_client as db
def mongo_upsert_cluster(cluster_ip, message):
db.app.logger.info("MONGODB - upserting cluster...")
clusters = db.mongo_clusters.db.clusters
cluster_info = message['cluster_info']
cluster_name = message[... | oakestra/oakestra | root_orchestrator/system-manager-python/ext_requests/cluster_db.py | cluster_db.py | py | 4,016 | python | en | code | 29 | github-code | 71 | [
{
"api_name": "ext_requests.mongodb_client.app.logger.info",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "ext_requests.mongodb_client.app",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "ext_requests.mongodb_client",
"line_number": 9,
"usage_typ... |
8444218647 | import datetime
from django.db import models
from django.shortcuts import render_to_response, get_object_or_404
from django.template import RequestContext
from django.views.decorators.cache import cache_page
from bios.models import Bio
from competitions.models import Competition
from games.models import Game, GameSou... | SoccerStatsUS/s2 | games/views.py | views.py | py | 6,044 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "competitions.models.Competition.objects.get",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "competitions.models.Competition.objects",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "competitions.models.Competition",
"line_number": 23,... |
42190612784 | #!/usr/bin/env python
# coding: utf-8
# # Remarks
#
# * Data normalization
# * Mobilenet expects data from -1 to 1
# * Normalize Input Data or Include in Model
# * TFLite Conversion must fit according to decision
# * Ground Truth Data: for better inspection Data multiplied by 80. Undo the chan... | muedavid/SGED | python scripts/CASENet.py | CASENet.py | py | 18,803 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "os.environ",
"line_number": 47,
"usage_type": "attribute"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "tensorflow.random.set_seed",
"line_number": 174,
"usage_type": "call"
},
{
"api_name": "t... |
33041578464 | from django.contrib.auth.views import LoginView
from django.urls import path
from cinema.views import (
IndexView,
MovieDetailView,
SessionDetailView,
CreateUserView,
TicketListView,
LogoutView,
)
urlpatterns = [
path("", IndexView.as_view(), name="index"),
path("accounts/login/", Logi... | oleksiikolii/pet-movie-theatre | cinema/urls.py | urls.py | py | 791 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "django.urls.path",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "cinema.views.IndexView.as_view",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "cinema.views.IndexView",
"line_number": 14,
"usage_type": "name"
},
{
"api_name":... |
9423636712 | import unittest
import data
class TestData(unittest.TestCase):
def test_batch(self):
sequences = [el.split() for el in \
['I love it', 'My name is Earl', 'Whose line is it anyway', 'As you like it', 'Everybody']]
words = list(set([el for lis in sequences for el in lis]))
... | PabloMosUU/BibleWordPasting | unit_tests/test_data.py | test_data.py | py | 4,530 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "unittest.TestCase",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "data.PAD_TOKEN",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "data.START_OF_VERSE_TOKEN",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name... |
25019118927 | import numpy as np
import pytest
import torch
from torch.utils.data import DataLoader
from ml_recon.utils.collate_function import collate_fn
from ml_recon.dataset.fastMRI_dataset import FastMRIDataset
from ml_recon.dataset.self_supervised_decorator import UndersampleDecorator
ACS_LINES = 10
@pytest.fixture
def data... | brendo-k/mri_machine_learning_reconstruction | test/Datasets/test_undersampling_decorator.py | test_undersampling_decorator.py | py | 1,860 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "torch.manual_seed",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "ml_recon.dataset.fastMRI_dataset.FastMRIDataset",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "ml_recon.dataset.self_supervised_decorator.UndersampleDecorator",
"line_num... |
71438259430 | from api_yamdb.settings import REGEX_USERNAME
from django.core.exceptions import ValidationError
class ValidateUsername:
"""
Валидатор для username.
"""
def validate_username(self, username):
if not REGEX_USERNAME.fullmatch(username):
raise ValidationError(
f'Некорр... | Khryashoff/api_yamdb | api_yamdb/users/validators.py | validators.py | py | 556 | python | ru | code | 0 | github-code | 71 | [
{
"api_name": "api_yamdb.settings.REGEX_USERNAME.fullmatch",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "api_yamdb.settings.REGEX_USERNAME",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "django.core.exceptions.ValidationError",
"line_number": 11,
... |
27562605295 | import json
from tqdm import tqdm
from anlp_project.datasets.europarl import EuroParlRaw
def main():
"""
Converts dataset to jsonlines format
needed for baseline++ training
"""
dataset = EuroParlRaw()
with open("dataset.jsonl", "w") as f:
for de, en in tqdm(dataset):
f.w... | yoogottamk/anlp-project | anlp_project/datasets/convert-to-jsonl.py | convert-to-jsonl.py | py | 423 | python | en | code | 1 | github-code | 71 | [
{
"api_name": "anlp_project.datasets.europarl.EuroParlRaw",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "tqdm.tqdm",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 17,
"usage_type": "call"
}
] |
19567013386 | import nidaqmx
import torch
import numpy as np
import time
from nidaqmx.constants import AcquisitionType, TerminalConfiguration
from collections import deque
from sklearn.preprocessing import StandardScaler
import matplotlib.pyplot as plt
from matplotlib.animation import FuncAnimation
from LSTMmodel import Gai... | hyungseokR/estimation_gait_speed_practice | gait_speed_est_practice/speed_estimation_real_time.py | speed_estimation_real_time.py | py | 3,246 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "LSTMmodel.GaitLSTM",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "torch.load",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "torch.device",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
... |
26570805170 | import numpy as np
import scipy.sparse as sps
try:
from petsc4py import PETSc
except ImportError:
print("No PETSc. Bicstab solver wont work")
try:
import pyamg
except ImportError:
print("No pyamg. amg solver wont work")
try:
import pypardiso
except ImportError:
print("No pypardis. pardiso solv... | rbe051/ViscFrac | utils/linear_solvers.py | linear_solvers.py | py | 3,031 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "pyamg.smoothed_aggregation_solver",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "pypardiso.spsolve",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "scipy.sparse.linalg.spilu",
"line_number": 45,
"usage_type": "call"
},
{
"api... |
23233521045 | # coding=utf-8
import codecs
import os
import pymssql
import sys
import uuid
from com.database.ConnectDataBase import ConnectionDatabase
# 设置默认编码
from xml.etree import ElementTree
import xlrd
'''
数据库连接
'''
def getConnect_new():
__conn = ConnectionDatabase("localhost", "sa", "11111", "EpointOATest3")
retu... | YichangYin/python_demo | com/analysisi/base.py | base.py | py | 4,195 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "com.database.ConnectDataBase.ConnectionDatabase",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "com.database.ConnectDataBase.ConnectionDatabase",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 31,
"usage_ty... |
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