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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
21931579875 | # -*- coding: utf-8 -*-
import scrapy
import requests
import os
class TukuspiderSpider(scrapy.Spider):
name = 'tukuspider'
allowed_domains = ['www.tuku.cc']
custom_settings = {
"USER_AGENT": "Mozilla/5.0 (Windows NT 6.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/41.0.2228.0 Safari/537.36",
... | gabcga/tuku | tuku/spiders/tukuspider.py | tukuspider.py | py | 1,844 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "scrapy.Spider",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "scrapy.Request",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_n... |
73620162791 | import pygame
from Block import Block
from settings import *
from typing import Tuple
class Sudoku:
board = [
[7, 8, 0, 4, 0, 0, 1, 2, 0],
[6, 0, 0, 0, 7, 5, 0, 0, 9],
[0, 0, 0, 6, 0, 1, 0, 7, 8],
[0, 0, 7, 0, 4, 0, 2, 6, 0],
[0, 0, 1, 0, 5, 0, 9, 3, 0],
[9, 0, 4, 0... | Deadshot96/Sudoku-Solver-GUI | Grid.py | Grid.py | py | 7,966 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "pygame.init",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "pygame.font.init",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "pygame.font",
"line_number": 39,
"usage_type": "attribute"
},
{
"api_name": "pygame.display.set_mode... |
71086611751 | #!/usr/bin/env python
# coding: utf-8
# In[1]:
import numpy as np
import pandas as pd
from sklearn.model_selection import train_test_split
from util import get_data100k,read_process,get_edgelist,pa_index
import networkx as nx
from networkx.algorithms import bipartite
import numpy as np
import pandas as pd
import ti... | dxlabskku/iMovieRec | graphrec_image.py | graphrec_image.py | py | 11,043 | python | en | code | 1 | github-code | 71 | [
{
"api_name": "util.get_data100k",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "util.pa_index",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"l... |
73263864228 | import hashlib
import json
from http import HTTPStatus
from fastapi import Request
from fastapi.param_functions import Query
from lnurl.types import LnurlPayMetadata
from fastapi.exceptions import HTTPException
from fastapi.responses import HTMLResponse
from lnbits.core.services import create_invoice
from . import d... | arcbtc/donations | lnurl.py | lnurl.py | py | 2,332 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "fastapi.Request",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "crud.get_donation",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "fastapi.exceptions.HTTPException",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "ht... |
18175293649 | # CoC Discord Bot.
# Mainly created to improve API/Discord Bot knowledge. Improving python alongside.
# imports for coc scripts
import coc
import os
# imports for discord bot
from discord.ext import commands
# imports for data handling and gathering
import pandas as pd
from datetime import datetime, timedelta
from ... | Blackiecat12/CoC-Discord-Bot | CoC-Discord-Bot.py | CoC-Discord-Bot.py | py | 5,079 | python | en | code | 1 | github-code | 71 | [
{
"api_name": "dotenv.load_dotenv",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "coc.login",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number":... |
5779945623 | import pandas as pd
from nltk.tokenize import NLTKWordTokenizer
from nltk.stem import WordNetLemmatizer
import nltk
from nltk.corpus import wordnet
from nltk.corpus import stopwords
import json
import string
from math import floor
# naming convention: preprocessing_<W|C>[L][S][P][H<cutoff>]
# W: with words
# C: wi... | kobutri/pg_knowledge_discovery_ml | preprocessing.py | preprocessing.py | py | 6,535 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "json.load",
"line_number": 97,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 98,
"usage_type": "call"
},
{
"api_name": "pandas.Series",
"line_number": 100,
"usage_type": "attribute"
},
{
"api_name": "pandas.Series",
"l... |
72954413670 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('triumph_app', '0003_auto_20171115_0403'),
]
operations = [
migrations.AlterField(
model_name='challenge',
... | askarpenko7/triumph | triumph_project/triumph_app/migrations/0004_auto_20171115_0420.py | 0004_auto_20171115_0420.py | py | 537 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "django.db.migrations.Migration",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "django.db.migrations",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.db.migrations.AlterField",
"line_number": 14,
"usage_type": "call"
},
{... |
71535100070 | import requests
from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from selenium.common.exceptions import TimeoutException
from selenium.webdriver.support.select import Select... | JrReubinJr/igFollowersScrapper | proxies.py | proxies.py | py | 1,551 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "selenium.webdriver.support.ui.WebDriverWait",
"line_number": 18,
"usage_type": "call"
},
... |
34816174160 | import os
from typing import Dict, Optional, Union, Tuple
import torch
import torch.nn as nn
import torch.optim as optim
def get_device(
device_type: str, device_index: Optional[Union[int, Tuple[int, ...]]] = None
) -> torch.device:
if device_type == "cpu":
return torch.device(device_type)
elif... | aysaac/twitter_news | utils/factories.py | factories.py | py | 1,340 | python | en | code | 1 | github-code | 71 | [
{
"api_name": "typing.Optional",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "typing.Union",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "typing.Tuple",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "torch.device",
"line_nu... |
17842239279 | from django.shortcuts import render, redirect
from .models import *
from authapp.models import Master_Table, Service_Provider, User
from userapp.models import Request_Details, User_Query
from .util import *
# Page rendering
def Index(request):
return My_Request(request)
# Adding garage details
def AddGarageDetail... | mcbiswas24/garage_finder | providerapp/views.py | views.py | py | 4,534 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "authapp.models.Master_Table.objects.get",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "authapp.models.Master_Table.objects",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "authapp.models.Master_Table",
"line_number": 19,
"usage_... |
31867694750 | #!/usr/bin/env python
# coding: utf-8
# In[ ]:
#Libraries importing:
import findspark
findspark.init()
findspark.find()
import pyspark
findspark.find()
from operator import add
from pyspark import SparkContext, SparkConf
from pyspark.sql import SparkSession
import pandas as pd
#Opening PySpark Session:
conf = pyspa... | MirkoGaslini/InformationRetrieval-PageRank | PageRankFinal.py | PageRankFinal.py | py | 8,164 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "findspark.init",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "findspark.find",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "findspark.find",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pyspark.SparkConf",
"... |
13333175110 | # -*- coding: utf-8 -*-
# nn_benchmark
# author - Quentin Ducasse
# https://github.com/QDucasse
# quentin.ducasse@ensta-bretagne.org
import sys
import torch
from nn_benchmark.core import Exporter
from nn_benchmark.networks import QuantTFC
if __name__ == "__main__":
acq_list = [2, 3, 4, 5, 6, 7, 8, 16, 32]
we... | QDucasse/nn_benchmark | nn_benchmark/export_experiments.py | export_experiments.py | py | 1,489 | python | en | code | 23 | github-code | 71 | [
{
"api_name": "nn_benchmark.core.Exporter",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "nn_benchmark.networks.QuantTFC",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "torch.load",
"line_number": 30,
"usage_type": "call"
}
] |
10998206775 | from typing import List
from topsdk.client import BaseRequest
from topsdk.util import convert_struct_list,convert_basic_list,convert_struct,convert_basic
from datetime import datetime
class TaobaoWlbWmsInventoryQueryRequest(BaseRequest):
def __init__(
self,
page_size: int = None,
page_no:... | LIANGCYRUS/TopApiSite | apps/topsdk/ability232/request/taobao_wlb_wms_inventory_query_request.py | taobao_wlb_wms_inventory_query_request.py | py | 6,334 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "topsdk.client.BaseRequest",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "datetime.datetime",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "datetime.datetime",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "datetime... |
18732693842 | import openpyxl
import datetime
from openpyxl.utils.cell import get_column_letter
workbook = openpyxl.load_workbook(filename="testMKTCAPCashBalanceCPJAN18.xlsx")
sheet = workbook["CashBalanceJAN18"]
number_rows = sheet.max_row
number_columns = sheet.max_column
CURRENTDATE = "03/09/2021"
#######################
def f... | mickyngub/stockCashBalanceData | findPrice.py | findPrice.py | py | 22,923 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "openpyxl.load_workbook",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.strptime",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name"... |
34871725439 | import os
import logging
import string
import platform
import csv
from io import TextIOWrapper
from glycan_profiling import serialize
from glycan_profiling.serialize import (
Protein, Glycopeptide, IdentifiedGlycopeptide,
func, MSScan, GlycopeptideSpectrumMatch)
from glycan_profiling.task import TaskBase
from... | mobiusklein/glycresoft | src/glycan_profiling/output/annotate_spectra.py | annotate_spectra.py | py | 7,604 | python | en | code | 7 | github-code | 71 | [
{
"api_name": "logging.getLogger",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "string.ascii_letters",
"line_number": 38,
"usage_type": "attribute"
},
{
"api_name": "string.digits",
"line_number": 38,
"usage_type": "attribute"
},
{
"api_name": "glycan... |
42552135340 | import logging
from logging.handlers import RotatingFileHandler
import groupy
import forecastio
import giphypop
import requests
import bs4
from geopy.geocoders import Nominatim
from flask import Flask, request
application = Flask(__name__)
application.config.from_object('settings')
WEATHER_ICONS = {
'clear-day': '... | tonydalemorris/pancakebot | pancakebot.py | pancakebot.py | py | 3,581 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "flask.Flask",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "geopy.geocoders.Nominatim",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "forecastio.load_forecast",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "giphyp... |
41477386190 | #!/usr/bin/env python
# encoding: utf-8
'''
#-------------------------------------------------------------------
# CONFIDENTIAL --- CUSTOM STUDIOS
#-------------------------------------------------------------------
#
# @Project Name : 高级图片转换特效之毛玻璃
#
# @File Name ... | GraceQAQ/python-special-efficiency | picture_effects_conversion_pro/effects_1.py | effects_1.py | py | 2,145 | python | en | code | 12 | github-code | 71 | [
{
"api_name": "cv2.imread",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "numpy.zeros_like",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "numpy.random.randint",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"... |
31779242164 | import wx
from mdbutton import MDButton
class DirPicker(wx.Panel):
def __init__ (self, parent,
style = wx.TAB_TRAVERSAL,
labelText = 'Folder Path:',
initValue = '',
buttonText = 'Browse',
dialogTitle = 'Choose a folder',
... | erik-morgan/code | Python/pypub/dirpicker.py | dirpicker.py | py | 2,985 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "wx.Panel",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "wx.TAB_TRAVERSAL",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "wx.BoxSizer",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "wx.VERTICAL",
"line... |
33618457037 | import requests
import bs4 #beautiful soup
#요청
url = 'https://www.naver.com/'
# response = requests.get(url)
# html = response.text
# # url을 텍스트로 변환
# soup = bs4.BeautifulSoup(html, 'html.parser')
# keywords = soup.select('.ah_l .ah_item .ah_a .ah_k')
# # soup중에서 불러오기/parser했기에 가능
# print(keywords)
selector = '.ah_... | paik11012/TIL | StartCamp/02_DAY/01_naver_rank.py | 01_naver_rank.py | py | 557 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "requests.get",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 17,
"usage_type": "call"
}
] |
6919701503 | import argparse
import gc
import os
import time
import numpy as np
import torch
import torch.backends.cudnn as cudnn
import torch.distributed as dist
import torch.nn as nn
import torch.optim as optim
from tensorboardX import SummaryWriter
from torch.utils.data import DataLoader
from data_loader.pose_check_dataset imp... | touristCheng/Learning2Regrasp | pose_check/train_multi_task_var_impl.py | train_multi_task_var_impl.py | py | 9,388 | python | en | code | 18 | github-code | 71 | [
{
"api_name": "torch.backends.cudnn.benchmark",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "torch.backends.cudnn",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 22,
"usage_type": "call"
},
{
"... |
6077946703 | from django.contrib.auth import get_user_model
from django.db.models import Count
from django import forms
from django.utils.encoding import force_text
from ads.models import LineItem
User = get_user_model()
COUNTRIES_CHOICES = [(x[0], x[1]) for x in User.objects.exclude(country_code__isnull=True).values_list('count... | 5CORNERS/www.le-francais.ru | ads/forms.py | forms.py | py | 1,474 | python | en | code | 4 | github-code | 71 | [
{
"api_name": "django.contrib.auth.get_user_model",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.db.models.Count",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "django.db.models.Count",
"line_number": 11,
"usage_type": "call"
},
{
"a... |
69902443430 | """empty message
Revision ID: da5815fb47ef
Revises: 462e5f0b6353
Create Date: 2020-04-28 12:37:28.619048
"""
from alembic import op
import sqlalchemy as sa
from sqlalchemy.dialects import mysql
# revision identifiers, used by Alembic.
revision = 'da5815fb47ef'
down_revision = '462e5f0b6353'
branch_labels = None
depe... | Gang-bb/Job-back-end | migrations/versions/da5815fb47ef_.py | da5815fb47ef_.py | py | 934 | python | en | code | 52 | github-code | 71 | [
{
"api_name": "alembic.op.create_table",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.diale... |
73252473191 | import yfinance as yf
import sys, os
file = open("stonks.txt",'r')
list_of_stonks = []
ticker_objs = {}
i = 0
for line in file:
if len(line)>1:
list_of_stonks.append(line.strip('\n'))
for ticker in list_of_stonks:
i = i + 1
try:
ticker_objs[ticker] = yf.Ticker(ticker)
print(str(i)... | linpawsz/scratch | 001_02_yfinance_get_industry_sectors.py | 001_02_yfinance_get_industry_sectors.py | py | 824 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "yfinance.Ticker",
"line_number": 16,
"usage_type": "call"
}
] |
8900630769 | from __future__ import unicode_literals
import codecs
import json
import os
import sys
from textwrap import dedent
from compat import unittest
from distlib import __version__
from distlib.compat import StringIO
from distlib.metadata import (LegacyMetadata, Metadata, METADATA_FILENAME,
L... | pypa/distlib | tests/test_metadata.py | test_metadata.py | py | 26,431 | python | en | code | 39 | github-code | 71 | [
{
"api_name": "os.path.abspath",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "support.in_github_workfl... |
17211506816 | from collections import namedtuple
from enum import Enum
MyStruct = namedtuple("MyStruct", ("field1", "field2"))
m = MyStruct("foo", "bar")
class Room(Enum):
Description = 1
North = 2
West = 3
South = 4
East = 5
Up = 6
Down = 7
def LydiaRoom(op):
return {
Room.Description: "Yo... | Grimkey/Python4Kids | kittygame.py | kittygame.py | py | 750 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "collections.namedtuple",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "enum.Enum",
"line_number": 7,
"usage_type": "name"
}
] |
6320866972 | from allennlp.commands.elmo import ElmoEmbedder
from argparse import ArgumentParser
from collections import Counter
from joblib import Parallel, delayed
import json
from multiprocessing import Pool
import numpy as np
import os
import pickle
import random
import re
from tqdm import tqdm
from utils.spacy import bulk_tok... | qipeng/stay-hungry-stay-focused | utils/preprocess_quac.py | preprocess_quac.py | py | 15,272 | python | en | code | 26 | github-code | 71 | [
{
"api_name": "utils.constants.UNK",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "re.match",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "utils.spacy.bulk_tokenize",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "multiprocessin... |
4277879313 | import string
from math import ceil, floor
from .eds import EDS
from .utilities import FailedValidationError, get_name, decode, format_bytes
from ..can import MessageType
PDO1_TX = 0x1A00
PDO1_RX = 0x1600
PDO2_TX = 0x1A01
PDO2_RX = 0x1601
PDO3_TX = 0x1A02
PDO3_RX = 0x1602
PDO4_TX = 0x1A03
PDO4_RX = 0x1603
def parse(... | oresat/CANopen-monitor | canopen_monitor/parse/pdo.py | pdo.py | py | 8,904 | python | en | code | 25 | github-code | 71 | [
{
"api_name": "eds.EDS",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "can.MessageType.cob_id_to_type",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "can.MessageType",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "can.MessageTyp... |
30598006673 | # -*- coding: utf-8 -*-
"""
Created on Thu Dec 19 20:45:25 2019
@author: ar1
"""
import gc
import time
import numpy as np
import pandas as pd
from multiprocessing import Pool
from functools import partial
import os
for dirname, _, filenames in os.walk('C:/Personal/Kaggle/ASHRAE/ashrae-energy-prediction/input'):
... | Abirami-R59/Kaggle-ASHRAE | test_preprocessing.py | test_preprocessing.py | py | 9,505 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "os.walk",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "pandas.read_csv",
"line_number"... |
33392204011 | from urllib import request
from urllib.request import Request
from bs4 import BeautifulSoup
from app.twitter_learning_journal.cachers.webpage_cacher import WebpageCacher
from app.twitter_learning_journal.services.logging_service import LoggingService
from app.twitter_learning_journal.transformers.transform_str import... | DEV3L/twitter-learning-journal | scripts/blogs.py | blogs.py | py | 7,960 | python | en | code | 1 | github-code | 71 | [
{
"api_name": "app.twitter_learning_journal.services.logging_service.LoggingService",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "app.twitter_learning_journal.cachers.webpage_cacher.WebpageCacher",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "urllib.req... |
21474169591 | import pygame as pg
import Button
import Options
import CRUD
import Player as PL
import MapNavigation
import screens
pg.init()
clock = pg.time.Clock()
fps = 60
# background = pg.image.load("market.png")
#game window
bottom_panel = 150
screen_width = 800
screen_height = 400 + bottom_panel
gameSetting... | nikiyyy/PyGladiator | PyGladiator V3 (thesis)/Menu.py | Menu.py | py | 2,643 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "pygame.init",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pygame.time.Clock",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pygame.time",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "Options.Gameoptions",
... |
17151466198 | import cv2
import os
vidcap = cv2.VideoCapture(r'yourpath.avi')
success, image = vidcap.read()
count = 0
success = True
while success:
cv2.imwrite("frame%d.png" % count, image) # save frame as JPEG file
success, image = vidcap.read()
count += 1
vidcap = cv2.VideoCapture(r'yourpath2')
success, image = vid... | Fifu352/Converter | main.py | main.py | py | 1,013 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "cv2.VideoCapture",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "cv2.imwrite",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "cv2.VideoCapture",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "cv2.imwrite",
"line_n... |
36395126234 | import requests
from flask import request, flash, render_template, redirect, url_for
from flask_login import current_user
from flask_wtf import FlaskForm
from wtforms import StringField, validators
from app import email_utils, config
from app.auth.base import auth_bp
from app.config import CONNECT_WITH_PROTON
from app... | simple-login/app | app/auth/views/register.py | register.py | py | 4,898 | python | en | code | 4,235 | github-code | 71 | [
{
"api_name": "flask_wtf.FlaskForm",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "wtforms.StringField",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "wtforms.validators.DataRequired",
"line_number": 24,
"usage_type": "call"
},
{
"api_name"... |
7934321078 | import numpy as np
import scipy.sparse
from sklearn.linear_model import SGDRegressor
from recpack.algorithms.base import ItemSimilarityMatrixAlgorithm
from recpack.matrix import Matrix, to_csr_matrix
class SLIM(ItemSimilarityMatrixAlgorithm):
"""Implementation of the SLIM model.
SLIM Model described in Nin... | LienM/recpack | recpack/algorithms/slim.py | slim.py | py | 3,315 | python | en | code | 13 | github-code | 71 | [
{
"api_name": "recpack.algorithms.base.ItemSimilarityMatrixAlgorithm",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "sklearn.linear_model.SGDRegressor",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "numpy.where",
"line_number": 55,
"usage_type": "c... |
22977618745 | from collections import defaultdict, deque
def bfs(p, q, n):
adj = defaultdict(list)
for i in range(len(p)):
adj[p[i]].append(q[i])
adj[q[i]].append(p[i])
bfslist = []
vis = [False] * (n)
for i in range(1, n+1, 1):
if vis[i-1] == False:
q = deque()
... | rajat844/Python-OOPs-and-DS | Graph/bfs.py | bfs.py | py | 1,254 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "collections.defaultdict",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "collections.deque",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 30,
"usage_type": "call"
}
] |
39635333550 | from django.db import models
from django.forms import CheckboxSelectMultiple
from django.utils import timezone
from wagtail.fields import StreamField, RichTextField
from wagtail.models import Page, Orderable
from wagtail.admin.panels import FieldPanel, InlinePanel, MultiFieldPanel
from wagtail.search import index
fro... | wharton/wagtailgridder | wagtailgridder/models.py | models.py | py | 8,968 | python | en | code | 62 | github-code | 71 | [
{
"api_name": "taggit.models.TaggedItemBase",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "modelcluster.fields.ParentalKey",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "django.db.models.CASCADE",
"line_number": 26,
"usage_type": "attribute"
},... |
20567978525 | from django.conf.urls import url
from . import views
urlpatterns = [
url(r'^$', views.index, name='index'),
url(r'^update_db/', views.update_db, name='update database'),
url(r'^functions/', views.functions, name='functions'),
url(r'^hilg_attack/', views.hilg_attack, name='hilg attack')
] | bgould96/django_proj | groupme/urls.py | urls.py | py | 306 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "django.conf.urls.url",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.co... |
17455831628 | import numpy as np
from pyglet import gl
import pyglet.graphics
from earcut.earcut import earcut
from pymunk import Poly
from .geom import SPACE_SCALE
from .physics import space
class RockPoly:
batch = pyglet.graphics.Batch()
TEX = pyglet.resource.texture('textures/rock.jpg')
group = pyglet.sprite.Sprite... | lordmauve/what-the-frog | wtf/poly.py | poly.py | py | 1,503 | python | en | code | 3 | github-code | 71 | [
{
"api_name": "pyglet.graphics.Batch",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pyglet.graphics",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "pyglet.resource.texture",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "py... |
37297158646 | # -----------------------------------------------------------
#
#
#
#
#
# -----------------------------------------------------------
import tkinter as tk
from tkinter import *
from tkinter import filedialog
from PIL import Image, ImageTk
from tkcalendar import DateEntry
import datebase_process
import fee
import num... | Pheggo/LPC | GUI2.py | GUI2.py | py | 5,580 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "tkinter.Tk",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "tkinter.Label",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "tkinter.Button",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "tkcalendar.DateEntry",
"l... |
22179339639 | #!/usr/bin/env python3.6
# -*- coding: utf-8 -*-
import hashlib
import os
import requests
from . import cli
from .configurator import configurator
args = cli.args()
cfg = configurator(args.cfg_path)
def show_logo(name):
print('\033c')
print(' _/ _/ _/_/_/_/ _/ _/_/ _/\n'+
... | szee/birch | birch/utils.py | utils.py | py | 1,158 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "configurator.configurator",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "hashlib.sha3_512",
"line_number": 38,
"usage_type": "call"
}
] |
21136310965 | import inspect
from typing import Optional, Union, Callable
def make_all_optional_or_suite_input(fn: Callable):
from inspect import signature, Parameter
from giskard.core.suite import SuiteInput
sig = signature(fn)
sig = sig.replace(
parameters=[
Parameter(
name=pa... | Giskard-AI/giskard | giskard/ml_worker/testing/registry/decorators_utils.py | decorators_utils.py | py | 2,356 | python | en | code | 2,258 | github-code | 71 | [
{
"api_name": "typing.Callable",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "inspect.signature",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "inspect.Parameter",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "inspect.Signature",... |
22501166043 | #! /usr/bin/env python3
import networkx as nx
import gurobipy as grb
import numpy as np
import argparse
import itertools
from pcst_fast import pcst_fast
from stp import load_stp
DESCRIPTION = """
Solves an instance of the PCSTP using Gurobi Python.
"""
BIG_INT = np.iinfo(np.int64).max
BIG_FLOAT = np.finfo(np.flo... | wsprent/thesis-code | python_gurobi/pcstp/main.py | main.py | py | 6,642 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "numpy.iinfo",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.int64",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "numpy.finfo",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.float64",
"line_nu... |
37692419180 | from django.http import HttpResponse, JsonResponse
from django.shortcuts import render
from .apps import KneeAppConfig
from django.contrib import messages
import cv2, numpy as np, json
from django.views.generic.base import TemplateView
def class_result(result):
class_names = ""
if result == 0:
class_na... | Vicolas11/Osteoarthritis | knee_app/views.py | views.py | py | 1,848 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "numpy.fromstring",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "numpy.uint8",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "cv2.imdecode",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "cv2.IMREAD_GRAYSCALE",... |
39611239129 | from nltk.corpus import stopwords
from collections import Counter
import sys
import pprint
import csv
'Argument List:', str(sys.argv)
path=str(sys.argv[1])
print(sys.argv[1])
#path="sloh.txt"
#path="rocnikovka.txt"
file=open(path, "r")
obsah=file.read().decode("utf-8", "ignore").encode("utf-8")
#print(obsah)
words=... | evahoralikova/python | DS/analytika.py | analytika.py | py | 994 | python | en | code | 0 | github-code | 71 | [
{
"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": "nltk.corpus.stopwords.words",... |
73552818788 | import numpy as np
import imageio, util
import os
import matplotlib.pyplot as plt
plt.rc('font', size=30)
def histogram(filedir):
imagestack, TE = imageio.loadImages2(os.path.join('..', 'data', filedir))
channels = ['red', 'green', 'blue']
save_dir = os.path.join('..', 'result', filedir, 'hist')
if ... | GUG11/HDR | python/experiment.py | experiment.py | py | 1,134 | python | en | code | 16 | github-code | 71 | [
{
"api_name": "matplotlib.pyplot.rc",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "imageio.loadImages2",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path.join... |
33617580097 | import openai
import discord
from discord import Intents
from discord.commands import slash_command, option
from discord.ext import commands
import re
import os
import asyncio
import logging
import datetime
import base64
import requests
import zipfile
from zipfile import ZipFile
from dotenv import load_dotenv
load_dote... | Paillat-dev/presentator | main.py | main.py | py | 12,159 | python | en | code | 22 | github-code | 71 | [
{
"api_name": "dotenv.load_dotenv",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "logging.basicConfig",
"lin... |
26032051874 | """A helper script to download ATT&CK releases in STIX/JSON format."""
import pathlib
from typing import List
import pooch
import typer
from loguru import logger
from mitreattack import release_info
app = typer.Typer(add_completion=False)
def download_stix(stix_version: str, domain: str, download_dir: str, releas... | mitre-attack/mitreattack-python | mitreattack/download_stix.py | download_stix.py | py | 4,822 | python | en | code | 293 | github-code | 71 | [
{
"api_name": "typer.Typer",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "pooch.retrieve",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "typing.List",
"line_numbe... |
11945829310 | import uuid
from tempest.api.image import base
from tempest.lib import exceptions as lib_exc
from tempest import test
class ImagesNegativeTest(base.BaseV2ImageTest):
"""here we have -ve tests for show_image and delete_image api
Tests
** get non-existent image
** get image with image_id=NULL... | microsoft/LIS-Tempest | tempest/api/image/v2/test_images_negative.py | test_images_negative.py | py | 3,277 | python | en | code | 3 | github-code | 71 | [
{
"api_name": "tempest.api.image.base.BaseV2ImageTest",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "tempest.api.image.base",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "uuid.uuid4",
"line_number": 25,
"usage_type": "call"
},
{
"api_n... |
30000756741 | '''
\file dataset_ProtFunct.py
\brief pytorch geometric Dataset object for ProtFunct finetuning tasks.
\author MinGyu Choi chemgyu98@snu.ac.kr
'''
import os
import numpy as np
from tqdm import tqdm
import torch
from torch_geometric.data import Data, Dataset, DataLoader
from torch.utils.data.sampler i... | ProteinNet/ProteinNet | ProteinNet/datasets/dataset_ProtFunct.py | dataset_ProtFunct.py | py | 9,046 | python | en | code | 1 | github-code | 71 | [
{
"api_name": "torch_geometric.data.Dataset",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "torch_geometric.data.Dataset",
"line_number": 25,
"usage_type": "argument"
},
{
"api_name": "os.path.exists",
"line_number": 36,
"usage_type": "call"
},
{
"api_... |
29175106968 | import copy
import os, sys
import json
import numpy as np
import torch.utils.data as data
import cv2
import scipy.misc
sys.path.append("..")
from utils import (bbox_clip_xyxy, bbox_xywh_to_xyxy, draw_origin_joints,
cam2pixel, draw_origin_joints_index)
from transform import SimpleTransform3D
class ... | XiaoYuhao/SinglePose | datasets/mirror.py | mirror.py | py | 8,657 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "sys.path.append",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "torch.utils.data.Dataset",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "torch.utils... |
7935778965 | import telebot
import Debug
botKey = "1659365904:AAGioE7u7tLsIaq4lpk6aaGKGcJiGhddSs8"
bot = ""
try:
bot = telebot.TeleBot(botKey)
except:
print("Wrong telegram bot key")
#Get logs from Debug script and send it to user
def SendLogs(message, bot):
logType = message.text.split(" ")
answ = "Logs:\n"
... | unknwn-dev/KreDpUaRasp | TgBot.py | TgBot.py | py | 736 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "telebot.TeleBot",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "Debug.ReadLogsByType",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "Debug.ReadAllLogs",
"line_number": 23,
"usage_type": "call"
}
] |
33440462612 | from tabulate import tabulate
from Processo import Processo
class Escalonador :
def first_come_first_served(self, fila) :
fila_de_prontos = [];
numero_bursts = 3;
soma_burst = 0;
for processo in fila :
soma_burst = soma_burst + processo['burst_time']
... | wpdcastro/Sistemas-Operacionais-II | Escalonador.py | Escalonador.py | py | 3,986 | python | pt | code | 0 | github-code | 71 | [
{
"api_name": "tabulate.tabulate",
"line_number": 72,
"usage_type": "call"
},
{
"api_name": "tabulate.tabulate",
"line_number": 103,
"usage_type": "call"
}
] |
15743673441 | from abc import abstractmethod
import tensorflow as tf
from tensorflow.contrib.tensorboard.plugins import projector
import includes.dataset_helper as dsf
import numpy
import includes.debug as dbg
import os
import math
from operator import mul
from functools import reduce
class Experiment:
"""
Core class for ... | apatsekin/patterns-identification-tensorflow | includes/experiment_class.py | experiment_class.py | py | 12,810 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "tensorflow.variable_scope",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "tensorflow.contrib.tensorboard.plugins.projector.ProjectorConfig",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "tensorflow.contrib.tensorboard.plugins.projector",
... |
74915829989 |
# coding: utf-8
# # FinanceDataReader 사용자 안내서
#
# <img src="https://i.imgur.com/r0YE5Xs.png">
#
# 한국 주식 가격, 미국주식 가격, 지수, 환율, 암호화폐 가격, 종목 리스팅 등 금융 데이터 수집 라이브러리
#
# <!-- TEASER_END -->
# ### 2018 FinanceData.KR
# In[9]:
# 차트 설정
get_ipython().run_line_magic('matplotlib', 'inline')
import matplotlib.pyplot as plt
pl... | c-choi/Python | 빅데이터 수집 강의/Finance/FinanceDataReader_Data.py | FinanceDataReader_Data.py | py | 8,351 | python | ko | code | 0 | github-code | 71 | [
{
"api_name": "matplotlib.pyplot.rcParams",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.rcParams",
"line_number": 21,
"usage_type": "attribute"
},
{
... |
13270516933 | import pygame
from gameobject import BaseMapObject
import json
class JsonMapDecoder:
def __init__(self) -> None:
self.ground = BaseMapObject((50, 50))
self.object_mapping = {
"ground" : BaseMapObject((50, 50))
}
self.mapdata = None
self.decode(f"{__file__}/m... | simanglam/map_editor | decoder.py | decoder.py | py | 649 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "gameobject.BaseMapObject",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "gameobject.BaseMapObject",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "gameobject... |
40495942558 | import logging
import requests, json
from kalliope.core.NeuronModule import (NeuronModule,
MissingParameterException,
InvalidParameterException)
logging.basicConfig()
logger = logging.getLogger("kalliope")
class Cryptocurrency(NeuronModu... | royto/kalliope_neuron_cryptocurrency | cryptocurrency.py | cryptocurrency.py | py | 1,739 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "logging.basicConfig",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "kalliope.core.NeuronModule.NeuronModule",
"line_number": 11,
"usage_type": "name"
},
{
"api_n... |
18696607583 | import random as rd
import csv
import argparse
rd.seed(2020)
def read_txt(filename):
dataset = []
with open(filename, 'r', encoding="utf-8", newline='') as f:
for line in f.readlines():
label = line[0]
doc = line[1:].strip()
dataset.append((label, doc))
... | toriving/text-classification-transformers | utils/sst_preprocess.py | sst_preprocess.py | py | 1,573 | python | en | code | 39 | github-code | 71 | [
{
"api_name": "random.seed",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "csv.writer",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 30,
"usage_type": "call"
}
] |
37645134269 | from math import log
from typing import List
FILE_PATH = '/path/to/p099_base_exp.txt'
def parse_file() -> List:
with open(file_path) as f:
lines = f.readlines()
nums_as_str = [line.strip('\n').split(',') for line in lines]
return [(int(a), int(b)) for a, b in [line for line in nums_as_str]]
de... | stevenschmatz/project-euler | problem-099.py | problem-099.py | py | 600 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "typing.List",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "math.log",
"line_number": 18,
"usage_type": "call"
}
] |
21610235351 | ### Diffusion Map Wrapper/Diffuse Function -- Python Implementation ###
import numpy as np
from scipy.sparse import csc_matrix
from scipy.sparse.linalg import eigsh
# Class to format the output of the diffuse function for the diffusion map
class Dmap(object):
def __init__(self, X, phi0, eigenvals, eigenmult,
... | pefreeman/ltst | Python/diffusionMap.py | diffusionMap.py | py | 2,763 | python | en | code | 1 | github-code | 71 | [
{
"api_name": "numpy.exp",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "numpy.outer",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "numpy.outer",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 35... |
70343808230 | import cv2
import math
import pandas as pd
import gc
import torch
from sklearn.utils import shuffle
from albumentations import Compose, Resize, Transpose, HorizontalFlip, \
VerticalFlip, ShiftScaleRotate, HueSaturationValue, \
RandomBrightnessContrast, Normalize... | freedom1810/kaggle-cassava | main.py | main.py | py | 4,682 | python | en | code | 14 | github-code | 71 | [
{
"api_name": "pandas.read_csv",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "config.path_params",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "sklearn.utils.shuffle",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "sklearn.util... |
27549938269 | import collections.abc
import json
import string
import subprocess
import time
import typing
from multiprocessing import current_process
from sys import platform
from libnmap.parser import NmapParser
import constants
from handler.DatabaseHandler import DatabaseHandler
from handler.HostInformation import HostInformati... | Ric1234567/DigitalTwinsForIoTSecurityManagement | flask-backend/handler/NmapHandler.py | NmapHandler.py | py | 9,333 | python | en | code | 1 | github-code | 71 | [
{
"api_name": "sys.platform",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "constants.SUDO",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "constants.NMAP_STANDARD_COMMAND_PREFIX",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_... |
10161097522 | """
Guitar Subset
For a list of integers S and a target number G, a subset of S that adds up to G is called a guitar subset.
For example:
Input:
24
[12, 1, 61, 5, 9, 2]
Output:
[12, 9, 2, 1]
(G=24, S=[12, 1, 61, 5, 9, 2], there is a guitar subset [12, 9, 2, 1] that adds up to 24).
Integers can appear mo... | rustamlinabi/Python---SoloLearn-Assignments | guitar.py | guitar.py | py | 1,207 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "itertools.permutations",
"line_number": 26,
"usage_type": "call"
}
] |
14957814243 | """
Check hypothesis using the one-sided SMIRNOV homogeneity test.
from scipy.stats import ks_2samp
"""
import numpy as np
from const import gamma
from scipy.special import kolmogi
from scipy.stats import expon
def smirnov(alpha):
"""
Compute the Kolmogorov-Smirnov statistic on 2 samples.
:param alpha:... | popryho/risk-theory | lab2/task4_smirnov.py | task4_smirnov.py | py | 1,646 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "numpy.sort",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "numpy.random.exponential",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "numpy.sort",
... |
36423298521 | import unittest
import decimal
import random
import json
from src.fuber_core.customer_actions import CustomerAction
from src.models.location import Location
from src.registry.cab_registry import CabRegistry
from src.registry.customer_registry import CustomerRegistry
from src.registry.trip_registry import TripRegistry
... | kousiknath/fuber | test/test_trips.py | test_trips.py | py | 3,729 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "unittest.TestCase",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "src.registry.cab_registry.CabRegistry",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "src.registry.customer_registry.CustomerRegistry",
"line_number": 19,
"usage_... |
41569903539 | from django.forms.widgets import DateInput, TextInput, CheckboxSelectMultiple
from django_filters import FilterSet, DateFilter, CharFilter, MultipleChoiceFilter
from .models import Post
class PostFilter(FilterSet):
datetime_create = DateFilter(
field_name='datetime_create',
lookup_expr='gt',
... | Ant-on-git/SF-news_portal | NewsPaper/news/filters.py | filters.py | py | 1,452 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "django_filters.FilterSet",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "django_filters.DateFilter",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.forms.widgets.DateInput",
"line_number": 11,
"usage_type": "call"
},
{
"a... |
72512031590 | # sets up database for tests
import pytest
import testing.postgresql
from sqlalchemy import create_engine, text
from sqlalchemy.orm import sessionmaker
from sqlalchemy_sqlschema import maintain_schema
# test data and formatting functions
from sample_data import WAT1, WAT2, WAT3, BAS1, make_region
from sample_data im... | pacificclimate/scip-backend | tests/conftest.py | conftest.py | py | 2,942 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "testing.postgresql.postgresql.Postgresql",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "testing.postgresql.postgresql",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "testing.postgresql",
"line_number": 22,
"usage_type": "name"
... |
33170835652 | #! /usr/bin/env python3
import os
from setuptools import setup
def read(fname):
return open(os.path.join(os.path.dirname(__file__), fname)).read()
setup(
name = "BrownBat",
version = "0.0b2",
author = "Douglas RAILLARD",
author_email = "public.douglas.raillard@gmail.com",
description = "A laz... | DouglasRaillard/BrownBat | setup.py | setup.py | py | 973 | python | en | code | 1 | github-code | 71 | [
{
"api_name": "os.path.join",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "setuptools.setup",
"line_n... |
32699235705 | #does a bunch of pandas
import pandas as pd
import numpy as np
from astropy.coordinates import SkyCoord
from astropy import units as u
def astrometry_table(data):
#
missing_dist = 0
astrometry = pd.DataFrame(columns=['Object',
'Category',
'Spectral_class',
'magnitudes',
... | coderXmachina2/protostellar_disk_visualization | functions/sort_functions_astrometry.py | sort_functions_astrometry.py | py | 4,660 | python | en | code | 1 | github-code | 71 | [
{
"api_name": "pandas.DataFrame",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "astropy.coordinates.SkyCoord",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "astropy.units.degree",
"line_number": 51,
"usage_type": "attribute"
},
{
"api_name"... |
3319615231 | # -*- coding: utf-8 -*-
"""
Created on Thu May 19 10:15:19 2022
@author: lenovo
"""
import pandas as pd
from arch import arch_model, univariate
import datetime as dt
import numpy as np
import math
import time
from arch.unitroot import ADF
from statsmodels.tsa import stattools # 白噪声检验:Ljung-Box检验
from ... | Steve-Selite/THU_Byte | Model/时间序列分析.py | 时间序列分析.py | py | 5,637 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "rpy2.robjects.pandas2ri.activate",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "rpy2.robjects.pandas2ri",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "rpy2.robjects.packages.importr",
"line_number": 23,
"usage_type": "call"
},
... |
11626900035 | import json
from tornado.web import RequestHandler, HTTPError, gen
import logging
import app.settings as st
from os_tornado.decorators.json_response import jsonify
import tornado
from urllib import unquote
from app.common.sender import UrlSender
import time
_logger = logging.getLogger('CrawlHandler')
@jsonify
class ... | comeonweina/crawler_portal | crawler_portal/app/request_handlers/crawl_handler.py | crawl_handler.py | py | 2,397 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "logging.getLogger",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "tornado.web.RequestHandler",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "app.settings.BATCH_ID",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name"... |
36343623587 | import keras
import math
import numpy as np
from typing import List, Callable, Dict, Tuple, Optional, Collection
class DataSequence(keras.utils.Sequence):
x: List
batch_size: int
length: int
shuffle: bool
keep_remainder: bool
map_fn: Callable
batches: List[Tuple[int, int]]
indices: np... | willsaak/vrd-kaggle | data/data_sequence.py | data_sequence.py | py | 1,849 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "keras.utils",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "typing.List",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "typing.Callable",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_nu... |
35708379905 | """Contains functions which provide corresponding name and remedy of ICP numbers."""
from collections import namedtuple
from importlib.resources import files
from pathlib import PurePath
from functools import lru_cache
import csv
from edcon.utils.logging import Logging
@lru_cache
def read_icp_map_file(icp_map_file: s... | Festo-se/festo-edcon | src/edcon/edrive/diagnosis.py | diagnosis.py | py | 2,780 | python | en | code | 4 | github-code | 71 | [
{
"api_name": "pathlib.PurePath",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "importlib.resources.files",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "csv.reader",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "collections.nam... |
72565764389 | #!/usr/bin/env python
# coding:utf-8
import json
import requests
import os
import threading
import time
import datetime
'''
使用最原始的60S下载接口
此文件会使用多线程下载数据
目前已被废弃
'''
Token = ''
every_hour_data = []
class DownloadDataFromVCloud:
def __init__(self,write_path,app_id,Universal_log):
self.write_path = write_pat... | LonelyWise/VivaLNKTool | Vivalnk/network/Download_Universal.py | Download_Universal.py | py | 5,810 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "datetime.datetime.fromtimestamp",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 53,
"usage_type": "attribute"
},
{
"api_name": "datetime.datetime.fromtimestamp",
"line_number": 54,
"usage_type": "call"
},
{... |
2506713369 | # -*- coding: utf-8 -*-
import logging
import pymysql
from openpyxl import load_workbook, Workbook
import time
import os
logging.basicConfig(format="%(asctime)s %(levelname)s %(message)s", level=logging.INFO)
connection = pymysql.connect(host="hk-cdb-aumsfh1d.sql.tencentcdb.com", user="root", password="wvqhthpbd!Wv$... | imvg/20211007 | 机型匹配/手机上报.py | 手机上报.py | py | 3,904 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "logging.basicConfig",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "pymysql.connect",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "logging.info",
... |
2350281710 | import cv2
import os
import glob
import numpy
import tensorflow
IMAGES_TO_EXAMINE_FOLDER_PATH = r'images-to-examine/'
MARKED_IMAGES_FOLDER_PATH = r'marked-images/'
CLASSIFIER_PATH = r'classifier-simplified.h5'
IMAGE_SIZE = (24, 22)
DETECTOR_SCALE_FACTOR = 1.2
DETECTOR_MIN_NEIGHBORS = 5
# test function used to calib... | smutkiewicz/face-mask-detection | detector/face-detector.py | face-detector.py | py | 2,669 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "cv2.imread",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "cv2.CascadeClassifier",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "cv2.data",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "cv2.rectangle",
"l... |
74120475749 | from django.conf.urls import url,include
from django.urls import path
import django.contrib.auth.views
from . import views
from .models import CS096
from rest_framework import routers
router = routers.DefaultRouter()
router.register(r'product', views.ProductViewSet)
urlpatterns = [
path('', views.CS096List... | hopkinss/access_request_tracker | trackapp/urls.py | urls.py | py | 1,094 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "rest_framework.routers.DefaultRouter",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "rest_framework.routers",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "django.urls.path",
"line_number": 15,
"usage_type": "call"
},
{
"api_na... |
33464392665 | from openpyxl import load_workbook
import os.path
from openpyxl.styles import NamedStyle, Font, colors
from ProjVar.var import *
from Util.fromattime import *
class Excel:
def __init__(self, excel_file_path):
self.sheet = None
self.column_num = None
self.row_num = None
if os.path.e... | gaicommon/autowork | Util/excel.py | excel.py | py | 4,113 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "os.path.path.exists",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path.path",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "os.path",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "openpyxl.load_workbook"... |
10441748003 | # -*- coding: utf-8 -*-
"""
Created on Sat Nov 21 14:52:12 2015
@author: Ilia
"""
from matplotlib import pyplot as plt, gridspec
import numpy as np
class _Direction(object):
horizontal = 'H'
vertical = 'V'
transposed = 'T'
normal = 'N'
class _Plottable(object):
def __init__(self,value,direction,... | iliar1987/RealTimeRecurrentLearning2 | RTRL_plot.py | RTRL_plot.py | py | 9,354 | python | en | code | 2 | github-code | 71 | [
{
"api_name": "numpy.copy",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 51,
"usage_type": "name"
},
{
"api_name": "matplotlib.pypl... |
6079856418 | from pathlib import Path
from bokeh.io import export_png
from bokeh.layouts import gridplot
import permutandis
from permutandis.evaluation.rearrange_evaluation import RearrangeEvaluation
from permutandis.solvers.mcts import MCTSSolver
from permutandis.solvers.baseline import BaselineSolver
from distributed import Cl... | ylabbe/permutandis | permutandis/examples/evaluate_solvers.py | evaluate_solvers.py | py | 1,953 | python | en | code | 8 | github-code | 71 | [
{
"api_name": "distributed.LocalCluster",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "distributed.Client",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "permutandis.evaluation.rearrange_evaluation.RearrangeEvaluation",
"line_number": 20,
"usage_t... |
42058566062 | import torch
from torch.utils import data
from torch import nn
from torch.optim import lr_scheduler
import os
import time
from tqdm import tqdm
import numpy as np
from PIL import Image, ImageDraw
import argparse
import os
from datasets.cifar10_noise import get_datasets
import random
import torch.backends.cudnn as cudnn... | weijiawu/Classification_with_Cleanlab | Train_CIFAR.py | Train_CIFAR.py | py | 10,834 | python | en | code | 9 | github-code | 71 | [
{
"api_name": "os.environ",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "logging.info",
"line_number": 74,
"usage_type": "call"
},
{
"api_name": "datasets.cifar10... |
31352274593 | # [ Plague Dr. ]
# - - - - - - - - - - - - - - - - - - - - - - - - - - - #
from bs4 import BeautifulSoup as bs
import requests as rq
from .plPlugins import Counter
# - - - - - - - - - - - - - - - - - - - - - - - - - - - #
coinmarketcap = 'https://coinmarketcap.com'
pages = '/?page='
# - - -... | arefmokhtari/plself | scripts/coinmarketcap.py | coinmarketcap.py | py | 2,449 | python | en | code | 12 | github-code | 70 | [
{
"api_name": "requests.get",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "plPlugins.Counter",
"line_number": 48,
"usage_type": "call"
}
] |
16783770009 | import pyautogui,cv2,numpy as np,time,tkinter
from tkinter import simpledialog
def ask_for_field_status():
return "sow"
root=tkinter.Tk()
root.withdraw()
return simpledialog.askstring("Input","If fields are already sown enter: sow\nelse enter: harvest")
def check_ad(last_time):
if last_tim... | aditya-garg-09-01-2002/game_automation | control_ops.py | control_ops.py | py | 3,797 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "tkinter.Tk",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "tkinter.simpledialog.askstring",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "tkinter.simpledialog",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "time.time... |
74269956388 | from django.conf.urls import patterns, include, url
from DAS_core.views import *
from django.contrib import admin
from django.views.generic import TemplateView
admin.autodiscover()
urlpatterns = patterns('',
url('^', include('django.contrib.auth.urls')),
url(r'^admin/', include(admin.site.urls)),
url(r'^h... | jefbsi20111/DAS | src_DAS/urls.py | urls.py | py | 1,048 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "django.contrib.admin.autodiscover",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.contrib.admin",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "django.conf.urls.patterns",
"line_number": 8,
"usage_type": "call"
},
{
"api... |
20575868481 | import numpy as np
import matplotlib.pyplot as plt
plt.rcParams['font.size'] = '20'
# helper functions
def getXY(matrix, type):
try:
x_data = []
y_data = []
if type == 1:
for val in matrix:
x_data.append(val[0])
y_data.append(val[1])
elif... | bshumin/Projects | Python/Tracking Systems/Lab1/lab1.py | lab1.py | py | 4,280 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "matplotlib.pyplot.rcParams",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 3,
"usage_type": "name"
},
{
"api_name": "numpy.empty",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "numpy.app... |
24702352496 | #!/usr/bin/env python3
import numpy as np
import matplotlib.pyplot as plt
from functions import read_hier
path = 'cosmo_sim_1d/gaussian_ICs/'
folder_name = '/hierarchy/'
plots_folder = 'spectra'
j = 0
for j in range(11):
# j = 0
moments_filename = 'output_hierarchy_{0:04d}.txt'.format(j)
moments_file = ... | mandarmk9/eft_code | moment_an.py | moment_an.py | py | 1,361 | python | en | code | 0 | github-code | 70 | [
{
"api_name": "numpy.genfromtxt",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.mean",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "numpy.fft.fft",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "numpy.fft",
"line_numbe... |
12443379594 | from PyQt5 import QtWidgets
from telleUI import Ui as telle
from followUp_CC import Ui as followup
from followUp_PL import Ui as followupPL
class Ui(QtWidgets.QWidget):
def __init__(self, priv, parentWin, mycursor, result, user, product, recontact=None):
#super(Ui, self).__init__()
#uic.loadUi('ass... | NathanielClarence/telemarketingdb | mainFiles/searchResult.py | searchResult.py | py | 10,221 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "PyQt5.QtWidgets.QWidget",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "PyQt5.QtWidgets",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtWidgets.QVBoxLayout",
"line_number": 27,
"usage_type": "call"
},
{
"api_name":... |
36763771996 | from PIL import Image
from PIL import ImageDraw
from PIL import ImageFont
import re
import sys
imgw=0
imgh=0
scalex=0
scaley=0
#img = Image.new("RGB",(300,300),"red")
#img.save("./test.jpg")
def getScale(width, height, lines):
wordnum=0
for line in lines:
words = re.split(":", line)
if (len(wo... | takenoko564/app_tool | logic/tchart_gen/bin/tchart_gen.py | tchart_gen.py | py | 4,752 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "re.split",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "PIL.ImageDraw.Draw",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "PIL.ImageDraw",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "PIL.ImageFont.truetype",
... |
72037027750 | from .forms import UserRegistrationForm
from django.shortcuts import render, redirect
def register(request):
if request.method == 'POST':
form = UserRegistrationForm(request.POST)
if form.is_valid():
print("Form is valid")
form.save()
return redirect('login')
... | quingo99/Job_Portal | final project/job_portal/users/views.py | views.py | py | 483 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "forms.UserRegistrationForm",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.redirect",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "forms.UserRegistrationForm",
"line_number": 16,
"usage_type": "call"
},
{
"ap... |
22094230724 | from . import views
from django.urls import path
app_name = 'release'
urlpatterns = [
path('addAlbumRelease', views.AlbumView.as_view(), name='addNewAlbumRelease'),
path('addSinglesRelease', views.SinglesView.as_view(), name='addNewSinglesRelease'),
path('displayAlbum', views.DisplayAlbumView.as_view(), n... | charamirez05/ArtistManagementSystem | Artist/release/urls.py | urls.py | py | 427 | python | en | code | 0 | github-code | 71 | [
{
"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",
... |
26706924369 | # Counting Sundays
# Problem 19
# You are given the following information, but you may prefer to do some research for yourself.
#
# 1 Jan 1900 was a Monday.
# Thirty days has September,
# April, June and November.
# All the rest have thirty-one,
# Saving February alone,
# Which has twenty-eight, rain or shine.
# And on... | chjdev/euler | python/problem19.py | problem19.py | py | 1,695 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "itertools.takewhile",
"line_number": 37,
"usage_type": "call"
}
] |
36614320793 |
import logging
import os
import yaml
import appdirs
from mail_sender_daemon import app, APP_NAME
logger = logging.getLogger(APP_NAME)
os.environ["XDG_CONFIG_DIRS"] = "/etc"
CONFIG_DIRS = (
appdirs.user_config_dir(APP_NAME),
appdirs.site_config_dir(APP_NAME),
os.path.abspath(os.path.join(app.root_path,... | aruhier/mail-sender-daemon | mail_sender_daemon/config.py | config.py | py | 1,295 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "logging.getLogger",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "mail_sender_daemon.APP_NAME",
"line_number": 9,
"usage_type": "argument"
},
{
"api_name": "os.environ",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "appdi... |
11351748193 | from __future__ import division
import torch
import torch.nn as nn
import torch.autograd as autograd
class Jacobian(nn.Module):
'''
Loss criterion that computes the trace of the square of the Jacobian.
Arguments:
n (int, optional): determines the number of random projections.
If n=-1, ... | mebooster/mebooster | mebooster/synthetic_active/jacobian_augmentation.py | jacobian_augmentation.py | py | 4,037 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "torch.nn.Module",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "torch.zeros",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "torch.norm",
"line_number... |
18855045709 | """Creates an image from a numpy array of floating point depth data.
Taken from https://github.com/ahundt/robotics_setup/blob/master/datasets/google_brain_robot_data/depth_image_encoding.py
Examples:
depth_array is a 2D numpy array of floating point depth data in meters.
depth_rgb = FloatArrayToRgbImage(depth_a... | stepjam/RLBench | rlbench/backend/utils.py | utils.py | py | 7,963 | python | en | code | 839 | github-code | 71 | [
{
"api_name": "numpy.clip",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "numpy.floor",
"line_number": 91,
"usage_type": "call"
},
{
"api_name": "numpy.uint32",
"line_number": 96,
"usage_type": "attribute"
},
{
"api_name": "numpy.divide",
"line_num... |
73097557029 | #!/usr/bin/python3
import argparse
import logging
import slackclient
import json
import datetime
class UserMap:
def __init__(self, user_id_to_name):
self._user_id_to_name = user_id_to_name
def get_username(self, message):
if message.get("user"):
return self._user_id_to_name[messa... | k-stanislawek/slack_history_saver | main.py | main.py | py | 3,867 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "slackclient.SlackClient",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.fromtimestamp",
"line_number": 62,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 62,
"usage_type": "attribute"
},
{
"ap... |
40681033391 | from __future__ import annotations
import dataclasses
import typing
from retro_data_structures.formats.mlvl import Mlvl
from retro_data_structures.formats.script_object import InstanceId
from retro_data_structures.properties import field_reflection
from retro_data_structures.properties.base_property import BaseObject... | henriquegemignani/pwime | src/pwime/operations/script_instance.py | script_instance.py | py | 5,659 | python | en | code | 1 | github-code | 71 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "retro_data_structures.formats.script_object.InstanceId",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "pwime.util.json_lib.JsonObject",
"line_number": 28,
"usa... |
73677119270 | import sys
from discord.ext.commands import Cog, command, check
from discord.utils import find
from typing import List
from bot.settings import CHANNEL_ID, FIELDS, TOPICS, STAGE_3_MODULES, PRONOUNS, SERVER_2020, SERVER_2022_CHANNEL_ID
from bot.cogs.name import Name
def is_in_guild(guild_id):
async def predicate(... | LukeBriggsDev/Dave-The-Robot | bot/cogs/role_chooser.py | role_chooser.py | py | 4,560 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "discord.ext.commands.check",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "bot.settings.SERVER_2020",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "bot.settings.CHANNEL_ID",
"line_number": 21,
"usage_type": "argument"
},
{
"a... |
72907729191 | #!/usr/bin/python3
from requests import get
def top_ten(subreddit):
url = "https://api.reddit.com/r/{}?sort=hot&limit=10".format(subreddit)
user_agent = "application/x-www-form-urlencoded"
response = get(url, headers={'User-Agent': user_agent})
if response.status_code == 200:
data = response.... | jhudaz/holberton-system_engineering-devops | 0x16-api_advanced/1-top_ten.py | 1-top_ten.py | py | 504 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "requests.get",
"line_number": 8,
"usage_type": "call"
}
] |
14957004371 | from typing import Dict, List
from torch import Tensor, nn
from modules.modeling.dynamic_blocks.base_dynamic_block import BaseDynamicBlock
from modules.modeling.ops import (
DynamicQConvNormActivation, DynamicQSE4ResNet
)
from modules.modeling.blocks import (
FusedMBConvResBlock, FusedMBConvSEResBlock
)
from ... | microsoft/Moonlit | SpaceEvo/modules/modeling/dynamic_blocks/dynamic_efficientnetv2_block.py | dynamic_efficientnetv2_block.py | py | 6,162 | python | en | code | 35 | github-code | 71 | [
{
"api_name": "modules.modeling.dynamic_blocks.base_dynamic_block.BaseDynamicBlock",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "torch.nn.ReLU",
"line_number": 17,
"usage_type": "attribu... |
5077691628 | import discord
from discord.ext import commands
from Helpers import EmbedHelper as embed
import urbandictionary as ud
class CMD_UrbanDictionary:
def __init__ (self, client):
self.client = client
@commands.command(pass_context = True)
async def urban (self, ctx, *searchItem):
author = ctx.m... | Dmunch04/sam-search-bot | Commands/Search/UrbanDictionaryCommand.py | UrbanDictionaryCommand.py | py | 1,497 | python | en | code | 1 | github-code | 71 | [
{
"api_name": "Helpers.EmbedHelper.SpecifyErrorEmbed",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "Helpers.EmbedHelper",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "urbandictionary.define",
"line_number": 27,
"usage_type": "call"
},
{
"... |
11503579772 | import torch, torch.nn as nn, torch.nn.functional as F, numpy as np
'''
Two implementations, chosen at bottom of file.
functorch based PNP solver.
Requires a decent initial estimate.
Actually opencv solvePnP is not very good unless you use the iterative method with an initial estimate,
which is about as good as my... | steplee/steplee.github.io | extraPages/xray/pysrc/solver/pnp.py | pnp.py | py | 6,967 | python | en | code | 2 | github-code | 71 | [
{
"api_name": "numpy.arccos",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "numpy.trace",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "numpy.linalg.norm",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "numpy.linalg",
"line_n... |
21136356695 | from typing import Iterable, Optional
import numpy as np
import pandas as pd
from ..core.core import ModelType
from ..datasets.base import Dataset
from .base import BaseModel, ModelPredictionResults
class PrecookedModel(BaseModel):
"""A dummy model for internal usage."""
def __init__(
self,
... | Giskard-AI/giskard | giskard/models/_precooked.py | _precooked.py | py | 2,473 | python | en | code | 2,258 | github-code | 71 | [
{
"api_name": "base.BaseModel",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "datasets.base.Dataset",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "base.ModelPredictionResults",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "core... |
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