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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
73870578293 | from django.urls import path
from rest_framework_simplejwt.views import (
TokenObtainPairView,
TokenVerifyView
)
from .views import BookViewSet, UsernameView
from rest_framework.routers import DefaultRouter
app_name = 'api'
router = DefaultRouter()
router.register(r'books', BookViewSet, basename='book')
urlp... | NorthOC/book-dashboard | api/urls.py | urls.py | py | 503 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "rest_framework.routers.DefaultRouter",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "views.BookViewSet",
"line_number": 12,
"usage_type": "argument"
},
{
"api_name": "django.urls.path",
"line_number": 15,
"usage_type": "call"
},
{
"api_n... |
15988612579 | import cv2
import argparse
import numpy as np
from scipy.misc import imresize
def caps_are_open(caps):
"""Return true if all caps are open"""
return all([c.isOpened() for c in caps])
def join_frames(frames,verbose=False):
size = frames[0].shape
for i,frame in enumerate(frames):
frames[i] = i... | maxkferg/dynamic-worksite-models | src/method/videos/join.py | join.py | py | 2,061 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "scipy.misc.imresize",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.hstack",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.hstack",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.vstack",
"lin... |
71748407732 | import requests
url = "https://www.icanhazdadjoke.com/search"
response = requests.get(
url,
headers={"Accept": "application/json"},
params={"term": "dog"}
)
data = response.json()
for result in data["results"]:
print(result["joke"], end="\n\n" + "*" * 90 + "\n\n")
| BrettMcGregor/udemy-colt-steele | request_parameters.py | request_parameters.py | py | 284 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "requests.get",
"line_number": 4,
"usage_type": "call"
}
] |
37404197625 | import sys
import typing as tp
import os
from collections import OrderedDict
from collections import abc
from itertools import chain
from io import StringIO
from io import BytesIO
import datetime
from urllib import request
import tempfile
import numpy as np
# min/max fail on object arrays
# handle nan in object b... | CrepeGoat/FEHnt | static_frame/core/util.py | util.py | py | 35,737 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "numpy.dtype",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "sys.version_info",
"line_number": 57,
"usage_type": "attribute"
},
{
"api_name": "numpy.int_",
"line_... |
4770513562 | #!/usr/bin/env python3
# YouTube Music Playlist Downloader
version = "1.2.3"
import os
import re
import json
import time
import requests
import subprocess
from PIL import Image
from io import BytesIO
from pathlib import Path
from yt_dlp import YoutubeDL, postprocessor
from urllib.parse import urlparse, parse_qs
from m... | onnowhere/youtube_music_playlist_downloader | youtube_music_playlist_downloader.py | youtube_music_playlist_downloader.py | py | 40,131 | python | en | code | 57 | github-code | 21 | [
{
"api_name": "yt_dlp.postprocessor.common",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "yt_dlp.postprocessor",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "json.dump",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "subpr... |
15678377655 | from flask.cli import AppGroup
from .users import seed_users, undo_users
from .flashcards import seed_flashcards, undo_flashcards
from .flashcard_sets import seed_flashcard_sets, undo_flashcard_sets
from .quizzes import seed_quizzes, undo_quizzes
from .questions import seed_questions, undo_questions
from .topics import... | Tristanleif1/NREMT-prep-app | app/seeds/__init__.py | __init__.py | py | 1,461 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "flask.cli.AppGroup",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "app.models.db.environment",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "users.undo_users",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "topics.... |
37982773407 | __version__ = "0.1.0"
import json
from logging import config, getLogger
from os.path import dirname, join
config_path = join(dirname(__file__), "config", "logging.json")
logger = getLogger(__name__)
with open(config_path) as f:
logging_config = json.load(f)
config.dictConfig(logging_config)
logger.info("ini... | yktakaha4/kunitori-py | src/kunitori/__init__.py | __init__.py | py | 334 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "os.path.join",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_num... |
13453847014 | # 搜索引擎关键词提交爬虫:以Baidu和360为例
# 百度关键词接口：http://www.baidu.com/s?wd=keyword
# 360关键词接口: http://www.so.com/s?q=keyword
import requests
url = 'https://www.baidu.com/s'
keyword = 'python'
try:
kv = {'wd': keyword}
r = requests.get(url, params=kv)
print(r.request.url) # 发给百度的request对应的url链接是什么？
r.rais... | Liangkang19/PyCharmFile | SpiderTest/TomSpider/Requests/BaiduSpider.py | BaiduSpider.py | py | 514 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "requests.get",
"line_number": 11,
"usage_type": "call"
}
] |
15490631792 | import time
import logging
from abc import ABCMeta, abstractmethod
from threading import Thread
from subprocess import check_call, CalledProcessError
import cv2
from vsn_client.common.utility import Config
class VSNCamera(metaclass=ABCMeta):
@abstractmethod
def grab_image(self, slow_mode=False):
...... | PUTvision/VSNClient | vsn_client/acquisition/camera.py | camera.py | py | 2,857 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "abc.ABCMeta",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "abc.abstractmethod",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "cv2.VideoCapture",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "cv2.CAP_PROP_FRAME_WI... |
30625951767 | """Fibo using Generator"""
import itertools
def fibonacci():
a, b = 0, 1
while True:
yield a
a, b = b, a + b
def fibo(generator, n):
for i in range(n):
yield next(generator)
print(list(fibo(fibonacci(), 10)))
def fib():
a, b = 0, 1
while True:
yield a
a... | kaushikamaravadi/Python_Practice | Transcend/fiboccani_generator.py | fiboccani_generator.py | py | 375 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "itertools.islice",
"line_number": 25,
"usage_type": "call"
}
] |
10552550286 | from flask import (Blueprint, abort, flash, url_for,
redirect, render_template, jsonify, request)
from flaskr.models.models import Movies
from flaskr.auth.auth import requires_auth
from .forms import MoviesForm
from datetime import datetime, timedelta
movie = Blueprint('movies', __name__)
# functi... | Ebra01/FSND-CAPSTONE | flaskr/movies/routes.py | routes.py | py | 9,763 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "flask.Blueprint",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.strptime",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "datetime.... |
6264553010 | import simplejson, urllib
from com.threecrickets.prudence.util import InternalRepresentation
def handle_init(conversation):
conversation.addMediaTypeByName('text/html')
def handle_post(conversation):
if not conversation.internal:
return 404
id = conversation.locals['com.threecrickets.prudence.disp... | tliron/prudence-java | components/reference/manual-examples/mvc-jinja/component/applications/jinja/libraries/dispatchers/jinja.py | jinja.py | py | 1,059 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "simplejson.loads",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "com.threecrickets.prudence.util.InternalRepresentation",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "urllib.quote",
"line_number": 26,
"usage_type": "call"
}
] |
26559244731 | #!/usr/bin/env python3
"""
This script plots the context data from the FIREBIRD-II mission.
It accepts sc_id (3 or 4) and campaign number arguments, and
looks for the most recent data in the firebird/Datafiles
firectory.
"""
import spacepy.datamodel
import numpy as np
import matplotlib.pyplot as plt
from matplotlib im... | mshumko/mission_tools | mission_tools/firebird/plot_context.py | plot_context.py | py | 6,298 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "matplotlib.pyplot.style.use",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.style",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 22,
"usage_type": "name"
},
{
"api_na... |
4659069724 | import torch
import sys
import os
assert len(sys.argv) > 1, "You need to enter a checkpoint path."
ckpt_path = sys.argv[1]
target_dir = "checkpoints"
if not os.path.exists(target_dir):
os.mkdir(target_dir)
ckpt = torch.load(ckpt_path)
if "cfg" in ckpt:
old_name = ckpt["cfg"]["model"]._name
... | NJUNLP/pydec | examples/roberta/change_fairseq_architecture.py | change_fairseq_architecture.py | py | 784 | python | en | code | 7 | github-code | 21 | [
{
"api_name": "sys.argv",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "os.path.exists",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number":... |
13550840424 | import math
import numpy as np
import pytest
from numpy.testing import assert_allclose
from plotly import graph_objects as go
from ross.fluid_flow import fluid_flow as flow
from ross.fluid_flow.fluid_flow import fluid_flow_example2
from ross.fluid_flow.fluid_flow_coefficients import (
calculate_oil_film_force,
... | petrobras/ross | ross/tests/test_fluid_flow.py | test_fluid_flow.py | py | 11,239 | python | en | code | 99 | github-code | 21 | [
{
"api_name": "numpy.pi",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "ross.fluid_flow.fluid_flow.FluidFlow",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "ross.fluid_flow.fluid_flow",
"line_number": 41,
"usage_type": "name"
},
{
"api... |
11566327813 | from __future__ import unicode_literals
from _socket import gaierror, error as socket_error
from django.core.mail import EmailMultiAlternatives
import logging
import re
from django.conf import settings
from celery import chain, chord
from celery.exceptions import SoftTimeLimitExceeded
from paramiko import A... | gunnery/gunnery | gunnery/backend/tasks.py | tasks.py | py | 10,676 | python | en | code | 755 | github-code | 21 | [
{
"api_name": "logging.getLogger",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "gunnery.celery.app.task",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "gunnery.celery.app",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "cor... |
9804466753 | import asyncio
tasks = []
async def handler():
while True:
print("Sleeping...")
await asyncio.sleep(1)
async def dispatch():
_loop = asyncio.get_event_loop()
task = loop.create_task(handler())
tasks.append(task)
task = loop.create_task(handler())
tasks.append(task)
async d... | tinylambda/keep | playground/asyncio_create_task_and_cancel.py | asyncio_create_task_and_cancel.py | py | 1,090 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "asyncio.sleep",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "asyncio.get_event_loop",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "asyncio.get_event_loop",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "asyncio.sl... |
18651373546 | # -*- coding:utf-8 -*-
'''
账户安全
tools 工具
wraps 外衣 (方法装饰器)
current 当前
'''
from functools import wraps
from flask import (
g, # global
session,
request,
redirect,
url_for,
current_app,
abort
)
def login_required(func):
@wraps(func)
def decorated_function... | lize240810/HouseSystem | backend/safe.py | safe.py | py | 1,286 | python | zh | code | 0 | github-code | 21 | [
{
"api_name": "flask.g",
"line_number": 27,
"usage_type": "argument"
},
{
"api_name": "flask.g.login_user",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "flask.session",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "flask.redirect",
... |
73886033014 | import time
from selenium import webdriver
from selenium.webdriver.common.by import By
PAGE_URL = "http://orteil.dashnet.org/experiments/cookie/"
# amount of time for the clicker to run, in seconds
TIMEOUT = 300
# amount of time between checking for upgrades, in seconds
CHECK_INTERVAL = 15
def buy_upgrade():
"""... | Akshat511716/100DaysofCode | Day48/main.py | main.py | py | 2,065 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "selenium.webdriver.common.by.By.ID",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "selenium.webdriver.common.by.By",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "selenium.webdriver.common.by.By.CSS_SELECTOR",
"line_number": 20,
... |
32594808320 | from .common import CommonCase
class TestOpenAPICommonCase(CommonCase):
@classmethod
def setUpClassVars(cls, *args, **kwargs):
super().setUpClassVars(*args, **kwargs)
# we don't really care about which menu and profile we use
# to read the OpenAPI specs
cls.menu = cls.env.ref(... | nguyenductamlhp/servermns | addons/wms/shopfloor/tests/test_openapi.py | test_openapi.py | py | 825 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "common.CommonCase",
"line_number": 4,
"usage_type": "name"
}
] |
2496013828 | from django.urls import path
from . import views
urlpatterns = [
path('', views.index, name='index'),
path('booking/', views.ticket, name='booking'),
path('schedule/', views.schedule, name='schedule'),
path('about/', views.about, name='about'),
path('login/', views.login, name='login'),
path('t... | gdawg32/SmartFerry | home/urls.py | urls.py | py | 599 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.urls.path",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
1661118520 | import typing
# from unittest import result
class City(typing.NamedTuple):
content : str
name : str
country : str
cities = [City('Asia', 'Tokyo', 'JP'), City('Asia', 'Delhi', 'IN'), City('North America', 'Mexico City', 'MX'), City('North America', 'New York', 'US'), City('South America', 'São Paulo', '... | DRAGONINWAVE/for_little_sun | City_and_a_few_instances.py | City_and_a_few_instances.py | py | 551 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "typing.NamedTuple",
"line_number": 5,
"usage_type": "attribute"
}
] |
19543555093 | from vec2 import Vector2
from cellular_automata import CellularAutomata
from dataclasses import dataclass
class LangtonAnt(CellularAutomata):
"""
Langton's ant is a two-dimensional universal Turing machine and runs on a square lattice of black and white cells.
We arbitrarily identify one square as t... | benstt/automatek | src/langtons_ant.py | langtons_ant.py | py | 3,950 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "cellular_automata.CellularAutomata",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "dataclasses.dataclass",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "vec2.Vector2",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "... |
27756364499 |
import telegram.ext
Token = 'API Key'
updater = telegram.ext.Updater(Token, use_context=True)
dispatcher = updater.dispatcher
def start(update, context):
update.message.reply_text("""Hello! Welcome to Lofi Central! The place where you can enjoy all your favourite lofis, we'll be trying to provide you t... | Utkarsh0uchiha/LofiCentral-Bot | loficentral.py | loficentral.py | py | 3,666 | python | en | code | 3 | github-code | 21 | [
{
"api_name": "telegram.ext.ext.Updater",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "telegram.ext.ext",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "telegram.ext",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "telegram.ext... |
9833411150 | from selenium import webdriver
from bs4 import BeautifulSoup
import time
SCROLL_PAUSE_TIME = 5
# 크롬 headless 모드 사용
options = webdriver.ChromeOptions()
options.add_argument('headless')
options.add_argument('window-size=800x1080')
options.add_argument("disable-gpu")
options.add_experimental_option("excludeSwitches", ["e... | Seoyun0626/Bookathon4 | ipynb/teen_crawling.py | teen_crawling.py | py | 3,762 | python | ko | code | 0 | github-code | 21 | [
{
"api_name": "selenium.webdriver.ChromeOptions",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 15,
"usage_type": "call"
},
{
"api_n... |
43013764740 | from collections import Counter
class Solution(object):
def match(self, licensePlateCnt, word):
#print(word)
wordCnt = Counter(word)
#print(wordCnt, licensePlateCnt)
for k in licensePlateCnt.keys():
if k in wordCnt and licensePlateCnt[k] <= wordCnt[k]:
pas... | SS4G/leetcode_2020 | src/py/l0748.py | l0748.py | py | 1,041 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "collections.Counter",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "collections.Counter",
"line_number": 20,
"usage_type": "call"
}
] |
1086093271 | import os
from dotenv import load_dotenv, find_dotenv
load_dotenv(find_dotenv())
from pritunl import logger
# Authy Client API
from authy.api import AuthyApiClient
authy_api = AuthyApiClient(os.getenv("AUTHY_API"))
from datetime import datetime
import time
import pymongo
import requests
import re
import phonenumber... | lmvdz/pritunl-authy-azure-plugin | authy-azure-plugin.py | authy-azure-plugin.py | py | 8,327 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "dotenv.load_dotenv",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "dotenv.find_dotenv",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "authy.api.AuthyApiClient",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.getenv... |
22290324938 | # import json #used for testing
import yt_dlp
from musicObjects import Track, ydl_opts, youtubeDomain, download
from mPrint import mPrint as mp
def mPrint(tag, text):
mp(tag, 'youtubeParser', text)
SOURCE = "youtube"
def searchYTurl(query) -> str:
"""
gets the url of the first song in queue (the one to p... | NotLatif/CuloBot | music/youtubeParser.py | youtubeParser.py | py | 4,370 | python | en | code | 5 | github-code | 21 | [
{
"api_name": "mPrint.mPrint",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "yt_dlp.YoutubeDL",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "musicObjects.ydl_opts",
"line_number": 15,
"usage_type": "argument"
},
{
"api_name": "musicObjects.... |
33713977615 | from __future__ import print_function
import base64
import gzip
import json
import os
import re
import boto3
# Imported through Lambda Layer
from datadog import datadog_lambda_wrapper, lambda_metric
# Pass custom tags as environment variable, ensure comma separated, no trailing comma in envvar!
DD_TAGS = os.environ.... | stevehouel/datadog-serverless-functions-metrics | lambda_function_lite.py | lambda_function_lite.py | py | 2,078 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "os.environ.get",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "datadog.lambda_metric",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "datadog.datadog_... |
5932504872 | import sys
sys.stdin = open('input.txt', 'r')
from collections import deque
def call(s):
visited = [0] * 101
queue = deque()
visited[s] = 1
queue.append(s)
while queue:
result = 0
for _ in range(len(queue)):
t = queue.popleft()
result = result if result > t el... | GH-Lim/AlgorithmHomeworkshop | workshop/workshop0829/workshop0829.py | workshop0829.py | py | 806 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "sys.stdin",
"line_number": 2,
"usage_type": "attribute"
},
{
"api_name": "collections.deque",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "collections.deque",
"line_number": 23,
"usage_type": "call"
}
] |
20556932065 | # region Packages
import re
import os
import csv
import wave
import time
import json
import math
import boto3
import openai
import struct
import whisper
import gspread
import pyaudio
import asyncio
import aiofiles
import pandas as pd
from dotenv import main
from datetime import datetime, timedelta
from google.oauth2.s... | nikhilnair31/MIA | test1_main.py | test1_main.py | py | 32,030 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "dotenv.main.load_dotenv",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "dotenv.main",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "os.getenv",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_n... |
72921295732 | from sklearn.datasets import fetch_20newsgroups
from sklearn.feature_extraction.text import CountVectorizer
from sklearn.feature_extraction.text import TfidfTransformer
from sklearn.naive_bayes import MultinomialNB
from sklearn.naive_bayes import BernoulliNB
from sklearn.model_selection import learning_curve
import nu... | fedetammaro/Naive-Bayes-Comparison | comparing_naive_bayes.py | comparing_naive_bayes.py | py | 12,837 | python | en | code | 3 | github-code | 21 | [
{
"api_name": "itertools.islice",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "reuters_utilities.stream_reuters_documents",
"line_number": 89,
"usage_type": "call"
},
{
"api_name": "sklearn.datasets.fetch_20newsgroups",
"line_number": 166,
"usage_type": "call... |
43763422095 | '''PyMEOP J.Maxwell 2021
'''
import datetime
import time
import socket
import sys
import os
import yaml
import pytz
import logging
import json
from PyQt5.QtWidgets import QMainWindow, QErrorMessage, QTabWidget, QLabel, QWidget, QLineEdit
from PyQt5.QtGui import QIntValidator, QDoubleValidator, QValidator
from PyQt5.Q... | jdmax/PyMEOP | app/gui.py | gui.py | py | 11,219 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "PyQt5.QtWidgets.QMainWindow",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtWidgets.QErrorMessage",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtWidgets.QTabWidget",
"line_number": 50,
"usage_type": "call"
},
{
... |
69814521013 | import datetime
import json
import os
from bs4 import BeautifulSoup as bs
import requests
import pandas as pd
import certifi
import undetected_chromedriver as uc
from selenium import webdriver
from selenium.webdriver.chrome.options import Options
from selenium.webdriver.common.proxy import Proxy, ProxyType
from seleniu... | dvitev/novelasligeraswebscrapping | shmtranslations.py | shmtranslations.py | py | 14,475 | python | es | code | 0 | github-code | 21 | [
{
"api_name": "googletrans.Translator",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "googletrans.Translator",
"line_number": 59,
"usage_type": "call"
},
{
"api_name": "urllib.parse.urlparse",
"line_number": 69,
"usage_type": "call"
},
{
"api_name": "p... |
42003395446 | # coding=utf-8
import pandas as pd
import numpy as np
from sklearn import metrics
from sklearn.feature_extraction.text import CountVectorizer
from sklearn.feature_extraction.text import TfidfTransformer
import lightgbm as lgb
from sklearn.model_selection import train_test_split
if __name__ == '__main__':
train_da... | creatist/text_classify | code/tfidf_lgb.py | tfidf_lgb.py | py | 2,598 | python | en | code | 5 | github-code | 21 | [
{
"api_name": "pandas.read_csv",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sklearn.model_selection.train_test_split",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "... |
38593107511 | import time
import numba
import numpy as np
import scipy
from . import utils
SMOOTH_K_TOLERANCE = 1e-5
MIN_K_DIST_SCALE = 1e-3
NPY_INFINITY = np.inf
@numba.njit(
locals={
"psum": numba.types.float32,
"lo": numba.types.float32,
"mid": numba.types.float32,
"hi": numba.types.float32... | Andrew-Draganov/GiDR-DUN | GDR/optimizer/graph_weights.py | graph_weights.py | py | 3,490 | python | en | code | 9 | github-code | 21 | [
{
"api_name": "numpy.inf",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "numpy.log2",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "numpy.float32",
"line_numbe... |
43349051892 | #coding=utf-8
#
# 数据集辅助检查和绘制工具
#
# 版本V1.4 2020.6.3
#
# 烟雨@烟雨科技
#
#如果导入tqm出错,请pip install tqdm
#
import os,cv2,shutil,argparse,random
from xml.etree import ElementTree as ET
from tqdm import tqdm
#数据集组织结构如下:
#--datset_rootdir:Face2017
# --images:原始图片存放目录,后缀务必为.jpg
# --Annotations:标注文件存放目录,文件名和原始图片相同,后缀为xml,VO... | imistyrain/MRLabeler | AnnoUtil/AnnoUtil.py | AnnoUtil.py | py | 14,403 | python | en | code | 70 | github-code | 21 | [
{
"api_name": "os.path.exists",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 40,
"usage_type": "attribute"
},
{
"api_name": "os.makedirs",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number... |
26123338212 | import numpy as np
import scipy as sp
from numpy import sqrt
from sklearn.metrics.pairwise import rbf_kernel
from numpy.random import permutation
from scipy.stats import gamma
def kernelGausiano(X,Y=None, sigma = 1.0):
"""
Como en un principio los nucleos solo los vamos a usar para calcular
el de la distribucion no ... | bacisback/TFG | codigo/MMD.py | MMD.py | py | 4,546 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "numpy.zeros",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.exp",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "numpy.exp",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "numpy.sum",
"line_number": 39,
... |
24556039393 | import numpy as np
import sys
import tensorflow as tf
import os
from threading import Thread
import cv2
import label_map_utils
sys.path.append("..")
# Path to frozen detection graph. This is the actual model that is used for the object detection.
PATH_TO_CKPT = 'hand_graph.pb'
# List of the strings that is used to a... | drewgillson/alphabot | detector_utils.py | detector_utils.py | py | 5,312 | python | en | code | 14 | github-code | 21 | [
{
"api_name": "sys.path.append",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number... |
13721706626 | import os
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from scipy.optimize import Bounds, NonlinearConstraint
from . import equations, plots, optimization
def visualize_molejo(
largura,
comprimento,
altura,
molas_largura,
molas_comprimento,
D_barril
):
x, y = equa... | FelipeMAssis/OtimizadorPocketPublic | utils/demo_actions.py | demo_actions.py | py | 16,135 | python | pt | code | 0 | github-code | 21 | [
{
"api_name": "matplotlib.pyplot.subplots",
"line_number": 66,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 66,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 68,
"usage_type": "call"
},
{
"api_name": ... |
71521142134 | #! usr/bin/env python3
#
import pandas as pd
import datetime as dt
import requests
import json
import sys
from bs4 import BeautifulSoup
from collections import deque
from config import REDDIT_SECRET, REDDIT_ID
# Access method 1 : defined in config, access method 2 defined as param
#
# So PRAW was a great... | gavinmccormack/aceholDetector | aceholReddit.py | aceholReddit.py | py | 4,427 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "datetime.datetime.fromtimestamp",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 45,
"usage_type": "attribute"
},
{
"api_name": "requests.get",
"line_number": 62,
"usage_type": "call"
},
{
"api_name": "b... |
16116019137 | __author__ = 'wenychan'
# Our tutorial's WSGI server
from wsgiref.simple_server import make_server
from cgi import parse_qs, escape
def application(environ, start_response):
# the environment variable CONTENT_LENGTH may be empty or missing
try:
request_body_size = int(environ.get('CONTENT_LENGTH', 0... | WenyuChang/python-learning | src/Practical_Basic/wsgi_usage.py | wsgi_usage.py | py | 2,453 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "cgi.parse_qs",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "cgi.escape",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "cgi.escape",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "cgi.parse_qs",
"line_number": ... |
7385745091 | import pygame
import random
class Particles:
def __init__(self, sizeRange, startPosRange, startVelRange=[0, .1, 0, .1], maxParticles=250, circle=False, speed=0.1, gravity=0, colors=None, startCol=(255,255,255), endCol=(0,0,0)):
self.sizeRange = list(sizeRange)
self.startPosRange = list(startPosRan... | Magicalbat/Pygame-Projects | Spooktober-Jam-2021/engine/particles.py | particles.py | py | 3,809 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pygame.Color",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pygame.Color",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "random.choice",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "pygame.draw.circle",
"lin... |
70526147252 | from typing import Tuple
import torch
from torch import nn
from torch.autograd import Variable
from models.attention_based.helpers.train_darnn.constants import device
# Dual-Stage Two-phase Recurrent Neural Network
# Cite: Liu, Y., Gong, C., Yang, L., & Chen, Y. (2020). DSTP-RNN: A dual-stage two-phase
# attention-ba... | duyanhpham-brs/XAI-Multivariate-Time-Series | models/attention_based/DSTP/__init__.py | __init__.py | py | 17,165 | python | en | code | 10 | github-code | 21 | [
{
"api_name": "torch.autograd.Variable",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "torch.zeros",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "torch.autograd",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "torch.nn.Modu... |
24019352112 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('api', '0005_apnsdevice_gcmdevice'),
]
operations = [
migrations.AddField(
model_name='message',
name... | mahendrakalkura/tellecast | api/migrations/0006_auto_20150413_1641.py | 0006_auto_20150413_1641.py | py | 746 | python | en | code | 0 | github-code | 21 | [
{
"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.AddField",
"line_number": 14,
"usage_type": "call"
},
{
... |
19700871756 |
import asyncio
import json
import aiohttp
import glob
import logging
import uuid
from datetime import datetime, timezone
from urllib.parse import urlencode, quote_plus
import math
import copy
from firebase_admin import firestore
from .. admin.referral import Package
from .. audit.audit import Audit
from . order impo... | accountsmachine/accounts-svc | accountsmachine/commerce/crypto.py | crypto.py | py | 8,198 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "logging.getLogger",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "order.product",
"line_number": 37,
"usage_type": "name"
},
{
"api_name": "aiohttp.ClientSess... |
40828607888 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu Oct 27 00:42:42 2022
@author: dan
"""
import secrets
CHARS ='ABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789' # all of the possible characters
otpadkey = []
for i in range(1,501): # The number of keys to generate
for j in range(500): # the length of the key... | dgrandall/cryptographyBC | CreatingOTPadsInBulk.py | CreatingOTPadsInBulk.py | py | 811 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "secrets.choice",
"line_number": 14,
"usage_type": "call"
}
] |
24983453409 | from setuptools import setup, find_packages
with open("README.md", "r", encoding = "utf-8") as fh:
long_description = fh.read()
setup(
name="EIAOpenData",
version="0.1.1",
packages=find_packages(),
author="Uraz Akgül",
author_email="urazdev@gmail.com",
description="EIAOpenData is a Python ... | urazakgul/EIAOpenData | setup.py | setup.py | py | 898 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "setuptools.setup",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "setuptools.find_packages",
"line_number": 9,
"usage_type": "call"
}
] |
42743632247 | import time
import io
import json
from pathlib import Path
import argparse
import pymssql
from mysql.connector import connect
from kfktest.util import load_setup, count_rows, linfo
# CLI 용 파서
parser = argparse.ArgumentParser(description="DB 에서 데이터 셀렉트.",
formatter_class=argparse.ArgumentDefaultsHelpFormatter
)
p... | haje01/kfktest | kfktest/selector.py | selector.py | py | 3,443 | python | ko | code | 0 | github-code | 21 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentDefaultsHelpFormatter",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "kfktest.util.load_setup",
"line_number": 46,
"usage_type": "call"
}... |
75189558453 | import time
import argparse
from collections import OrderedDict # for type hinting
import json
import os
from typing import Optional, Type, Union # for type hinting
from numpy.random import PCG64DXSM, Generator
from marco_polo.tools.types import Role, PathString # for type hinting
from marco_polo.tools.wrappers im... | act3-ace/marcopolo | marco_polo/optimizers/ARS/manager.py | manager.py | py | 8,650 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "argparse.Namespace",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "typing.Union",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "typing.Type",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "marco_polo.optimizer... |
21408335805 | import discord
import random
from discord.ext import commands
class Quote(commands.Cog):
def __init__(self, client):
self.client = client
@commands.command(aliases=["q"])
async def quote(self, ctx):
file = open('quotes.txt', 'r')
name = []
q = []
for line in fil... | aadougdeen/HomieBot | commands/quote.py | quote.py | py | 690 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "discord.ext.commands.Cog",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "discord.ext.commands",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "random.randint",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "disco... |
25900218854 | from abc import ABC, abstractmethod
import numpy as np
from scipy.linalg import sqrtm
from ..utils.math import randcn
class SignalGenerator(ABC):
"""Abstrace base class for all signal generators.
Extend this class to create your own signal generators.
"""
@property
@abstractmethod
def dim... | morriswmz/doatools.py | doatools/model/signals.py | signals.py | py | 3,687 | python | en | code | 132 | github-code | 21 | [
{
"api_name": "abc.ABC",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "abc.abstractmethod",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "abc.abstractmethod",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "numpy.isscalar",
"li... |
2133078854 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
import sympy as sp
from vofotensors.numbers import z
from vofotensors.abc import (
alpha1,
alpha3,
la1,
la2,
d1,
d2,
d3,
d4,
d5,
d6,
d7,
d8,
d9,
)
alpha1_in_la1 = sp.sympify("4/3") * la1 - sp.sympify("2/3")
substitutio... | JulianKarlBauer/vofotensors | vofotensors/substitutions.py | substitutions.py | py | 900 | python | en | code | 4 | github-code | 21 | [
{
"api_name": "sympy.sympify",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "vofotensors.abc.la1",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "vofotensors.abc.alpha3",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "vofotensors.... |
2143483859 | """The restructuredtext linter."""
import os
import shutil
import sys
import restructuredtext_lint
from docutils import nodes
from docutils.parsers.rst import Directive
from docutils.parsers.rst import directives
from docutils.parsers.rst.directives import register_directive
from docutils.parsers.rst.roles import regis... | mindspore-ai/docs | tools/rst_lint/run.py | run.py | py | 5,435 | python | en | code | 154 | github-code | 21 | [
{
"api_name": "docutils.parsers.rst.Directive",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "docutils.nodes.container",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "docutils.nodes",
"line_number": 29,
"usage_type": "name"
},
{
"api_name":... |
71835966132 | import six
from iktomi.cms.auth.views import AdminAuth, auth_required
from iktomi.cms.item_lock.views import ItemLockView
from iktomi.cms.menu import IndexHandler
from ikcms.web import h_match
from ikcms.web import h_prefix
from ikcms.web import h_cases
from ikcms.web import h_static_files
from ikcms.web import h_app
... | SmartTeleMax/ikcms | ikcms/apps/admin/handler.py | handler.py | py | 1,715 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "iktomi.cms.auth.views.AdminAuth",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "ikcms.web.h_domain",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "ikcms.web.h_cases",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "... |
24107043330 | import json
import boto3
# Define the client to interact with AWS Lambda
client = boto3.client('lambda')
def lambda_handler(event, context):
try:
###################################################
# Update record into quiz table
###################################################
... | eleonora-ollaik/EvolveU-Project | Quiz/aws/lambda/PutQuiz/lambda_function.py | lambda_function.py | py | 4,932 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "boto3.client",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 32,
... |
10591431635 | import math
import numpy as np
import utils
DAY = 8
def check_visibility(forest :np.ndarray, coord :tuple) -> bool:
i, j = coord
temp = np.clip(forest - forest[i,j] + 1, 0, 9)
top, bottom, left, right = temp[:i, j], temp[i+1:, j], temp[i, :j], temp[i, j+1:]
return 0 == math.prod(map(np.sum, [left, ... | piro-97/AdventOfCode | 2022/08.py | 08.py | py | 1,191 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "numpy.ndarray",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "numpy.clip",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "math.prod",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.sum",
"line_number":... |
4118893340 | import ExportToDamask
import numpy as np
import matplotlib.pyplot as plt
import scipy.stats
from MircoCellularAutomaton import *
from matplotlib.colors import LinearSegmentedColormap, ListedColormap
import os
import sys
sys.path.insert(1, './out_const/')
import const_proc
def pltVal(X, Y, Z, title="", filename=None)... | a-vodka/cellular-automaton | runDamask.py | runDamask.py | py | 20,242 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "sys.path.insert",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "numpy.unique",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.unique",
"line_n... |
25827739405 | from torch import nn
import torch
import torchvision
from matplotlib import pyplot as plt
import torch.nn.functional as F
device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
class Generator(nn.Module):
def __init__(self,nz,ngf,nc):
super().__init__()
self.fwd = nn.Sequential(
nn.Conv... | Sumeet2807/GANs | models/MNIST_DCGAN.py | MNIST_DCGAN.py | py | 4,082 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "torch.device",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "torch.nn.Module",
... |
12857097412 | from typing import Iterable, Callable
import tensorflow as tf
class DatasetGenerator:
def __init__(self,
batch_size: int,
shuffle_buffer_size=None,
rank=2):
self.batch_size = batch_size
self.shuffle_buffer_size = shuffle_buffer_size
if r... | as-ideas/headliner | headliner/preprocessing/dataset_generator.py | dataset_generator.py | py | 1,591 | python | en | code | 231 | github-code | 21 | [
{
"api_name": "tensorflow.int32",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.TensorShape",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "tensorflow.int32",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "te... |
32621536330 | import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
# LOADING THE DATASET
url = 'https://raw.githubusercontent.com/amankharwal/Website-data/master/Advertising.csv'
df = pd.read_csv(url)
df.drop('Unnamed: 0',axis=1,inplace=True)
print(df.head())
# Let us plot the graph of d... | vsahasrabudhe96/Machine_Learning_Practice | LassoandRidge/LassoRidge.py | LassoRidge.py | py | 2,051 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pandas.read_csv",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "matplotlib.... |
40549216412 | import threading
from pathlib import Path
from unittest.mock import MagicMock
import agent_plugins.payloads.ransomware.src.ransomware_builder as ransomware_builder
import pytest
from agent_plugins.payloads.ransomware.src.ransomware_options import RansomwareOptions
from monkeytypes import OperatingSystem
from common.e... | guardicore/monkey | monkey/tests/unit_tests/agent_plugins/payloads/ransomware/test_integrated_ransomware.py | test_integrated_ransomware.py | py | 1,658 | python | en | code | 6,367 | github-code | 21 | [
{
"api_name": "common.types.AgentID",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "pytest.fixture",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "pathlib.Path",
... |
29101749254 | import pyperclip
import qrcode
print('Before use, copy what you want to turn into qr-code')
print('To start click x\n')
inp = input()
if inp == 'x':
filename = input('Enter filename for this qr\n')
clipboard = pyperclip.paste()
img = qrcode.make(clipboard)
imgpath = r'folder path to save file'
im... | mattebur/clipboard-to-qrcode | main.py | main.py | py | 391 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pyperclip.paste",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "qrcode.make",
"line_number": 12,
"usage_type": "call"
}
] |
14425152210 | #!/usr/bin/python3
import sys
import os
import argparse
#the following import also sets up import path
import neumodvb
import pychdb
import pyrecdb
import pydevdb
import pystatdb
import pyepgdb
epilog= """
"""
parser = argparse.ArgumentParser(description='Neumodb file generator',
... | deeptho/neumodvb | gui/neumodbstats.py | neumodbstats.py | py | 1,433 | python | en | code | 9 | github-code | 21 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "argparse.RawDescriptionHelpFormatter",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "pychdb.chdb",
"line_number": 37,
"usage_type": "call"
},
{
"api... |
21195618767 | from django.shortcuts import render, get_object_or_404, redirect
from django.contrib.auth import authenticate, login, logout
from django.contrib.auth.decorators import login_required
from django.contrib.auth.models import User
from django.contrib import messages
from django.views.generic import UpdateView
from django.v... | cyobero/social | account/views.py | views.py | py | 4,027 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.views.generic.edit.UpdateView",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "models.UserProfile",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "forms.UpdateProfileForm",
"line_number": 21,
"usage_type": "name"
},
{
"a... |
5624892614 | #!/usr/bin/python
# Copyright (C) 2021-2014 Alibaba Group Holding Limited
# not stable. do not use it!!!!
import sys
import os
import zipfile
script_root = os.path.abspath(os.path.dirname(__file__))
def find_project_name(build_dir):
files = os.listdir(build_dir)
for f in files:
if ... | alibaba/t-game-sdk | TBJGameSDK/toolchain/emscripten/taopublish.py | taopublish.py | py | 1,181 | python | en | code | 6 | github-code | 21 | [
{
"api_name": "os.path.abspath",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_n... |
29723868160 | """
Author: Ben CHEN
Github: benbenbang
Created Date: 2019-12-02
Last Modified by: benbenbang
Last Modified: 2019-12-10
"""
import os
import warnings
from timeit import default_timer
import lightgbm as lgb
import matplotlib.pyplot as plt
import numpy as np
import seaborn as sns
import xgboost as xgb
from libs.params ... | benbenbang/ngboost-explore | src/benchmark.py | benchmark.py | py | 5,633 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 35,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 36,
"usage_type": "attribute"
},
{
"api_name": "os.path.isfil... |
73585585973 | import numpy as np
import torch
import torch.nn as nn
import os
import torchvision.transforms as transforms
from utils.opt import parse_option
from torchvision.datasets import mnist
from torch.nn import CrossEntropyLoss
from torch.optim import SGD
from torch.utils.data import DataLoader
from trainval import train
from... | dongkyuk/LeNet-Pytorch | Pytorch/train.py | train.py | py | 2,222 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "utils.opt.parse_option",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "torchvision.datasets.mnist.MNIST",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "torchvision.datasets.mnist",
"line_number": 21,
"usage_type": "name"
},
{
... |
8606445662 | #!/usr/bin/env python
# coding: utf-8
# <h2>About this Project</h2>
#
# **In this Project, you will create a logistic regression classifier that can "filter" spam email messages.** Having focused on modeling in the previous projects, you will now dive deep into email data and preprocessing. **This project does not ha... | arko-stark/Machine-Learning | learning-with-linear-classifier/gradient-descent-spam-classifier/Build-a-Spam-Email-Classifier-Project3.py | Build-a-Spam-Email-Classifier-Project3.py | py | 11,051 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "numpy.zeros",
"line_number": 63,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 89,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 89,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number":... |
38846481472 | from django.test import TestCase
from django.contrib.auth.models import User
from app3d.models import Model3d, Badge, CustomUser
from django.urls import reverse
from django.utils import timezone
class DetailViewTest(TestCase):
def setUp(self):
self.user = User.objects.create_user(username='testuser', pass... | amadoucodeur/model3dtest | model3dproject/app3d/tests.py | tests.py | py | 3,075 | python | fr | code | 0 | github-code | 21 | [
{
"api_name": "django.test.TestCase",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "django.contrib.auth.models.User.objects.create_user",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.models.User.objects",
"line_number": 10,
"usa... |
32011654154 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Author: Alex Nguyen
Gettysburg College
"Finally, the experiments with existing methods reveal
that warped clothing is often severely distorted. We could
not clearly determine the reason, but can conclude that the
estimation of the TPS parameters needs regulariza... | rxng8/Virtual-Tryon-Project | cp-vton.py | cp-vton.py | py | 4,830 | python | en | code | 6 | github-code | 21 | [
{
"api_name": "core.dataset.VtonPrep",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "tensorflow.keras.optimizers.Adam",
"line_number": 73,
"usage_type": "call"
},
{
"api_name": "tensorflow.keras",
"line_number": 73,
"usage_type": "attribute"
},
{
"api_... |
25805953095 | import logging
from slixmpp.stanza import StreamFeatures
from slixmpp.features.feature_preapproval import stanza
from slixmpp.xmlstream import register_stanza_plugin
from slixmpp.plugins.base import BasePlugin
from typing import ClassVar, Set
log = logging.getLogger(__name__)
class FeaturePreApproval(BasePlugin):
... | poezio/slixmpp | slixmpp/features/feature_preapproval/preapproval.py | preapproval.py | py | 1,054 | python | en | code | 108 | github-code | 21 | [
{
"api_name": "logging.getLogger",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "slixmpp.plugins.base.BasePlugin",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "typing.ClassVar",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "typ... |
37366058806 | # import libraries
from numpy import array, argmax
from sklearn.preprocessing import LabelEncoder
from sklearn.preprocessing import OneHotEncoder
# define input data
data = ['cold', 'cold', 'warm', 'cold', 'hot', 'hot', 'warm', 'cold', 'warm', 'hot']
values = array(data)
print(values)
# integer encode
label_encoding ... | eugene-liyai/One-Hot-Encoding-Example | one_hot_encoding/scikit_one_hot_encoding.py | scikit_one_hot_encoding.py | py | 759 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "numpy.array",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing.LabelEncoder",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing.OneHotEncoder",
"line_number": 17,
"usage_type": "call"
},
{
... |
42382055902 | #!/usr/bin/env python
# coding=utf-8
import click
import os
@click.command()
@click.argument('inputfile', default="dump.bin", type=click.Path(exists=True))
def cli(inputfile):
dic = [
("boot", 0x40000),
("kernel", 0x280000),
("rootfs", 0x6F0000),
("data", 0x630000),
("confi... | openmiko/openmiko | doc/SXJ02ZM/unpacker.py | unpacker.py | py | 777 | python | en | code | 563 | github-code | 21 | [
{
"api_name": "click.format_filename",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "os.makedirs",
"... |
18934229821 | import os
import torch
import spacy
import pandas as pd
from torch.nn.utils.rnn import pad_sequence
from torch.utils.data import DataLoader, Dataset, dataset
from PIL import Image
import torchvision.transforms as transforms
spacy_en = spacy.load("en_core_web_sm")
class TextPreprocessor:
def __init__(self, thresh... | jenilgandhi2111/Image-Captionizer | preprocessing.py | preprocessing.py | py | 4,316 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "spacy.load",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "torch.utils.data.Dataset",
"line_number": 62,
"usage_type": "name"
},
{
"api_name": "pandas.read_csv",
"line_number": 71,
"usage_type": "call"
},
{
"api_name": "torchvision.trans... |
33880972814 | import numpy as np
import os
import nibabel as nib
import h5py
import pickle
import itertools
def get_vals_vecs():
subject = os.listdir("./data/train")[0]
with open(f"./data/train/{subject}/bvals", "r") as f:
vals = np.array(list(map(int, f.readline().split())))
with open(f"./data/train/{subject}... | Snailpong/dwi_angular | preprocess.py | preprocess.py | py | 4,148 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "os.listdir",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.empty",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.where",
"line_number": 19... |
18627812012 |
import torch
from torch import nn
import torch.nn.functional as funcs
class Encoder(nn.Module):
"""
CNN model to extract state and aleatoric uncertainty over state from images
"""
def __init__(self, label_dim: int, img_channels: int = 3):
super(Encoder, self).__init__()
# Side of squ... | ishank-juneja/Online-Model-Selection | src/learned_models/encoder.py | encoder.py | py | 2,265 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "torch.nn.Module",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "torch.nn.Conv2d",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_numb... |
72499519412 | import cv2
import numpy as np
img=cv2.imread('bookpage.jpg')
retval1,threshold1=cv2.threshold(img,12,255,cv2.THRESH_BINARY)
grayscaled=cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)#conversion to grayscale
retval2,threshold2=cv2.threshold(grayscaled,10,255,cv2.THRESH_BINARY)#thresholding the grayscaled image
gaus... | kilarinikhil/OpenCV | Open-CV/6@thresholding_an_image.py | 6@thresholding_an_image.py | py | 682 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "cv2.imread",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "cv2.threshold",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "cv2.THRESH_BINARY",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "cv2.cvtColor",
"line... |
34340166401 | """
Window Transformer
------------------
"""
from typing import Any, List, Mapping, Optional, Union
from darts.dataprocessing.transformers import BaseDataTransformer
from darts.logging import get_logger
from darts.timeseries import TimeSeries
logger = get_logger(__name__)
class WindowTransformer(BaseDataTransform... | unit8co/darts | darts/dataprocessing/transformers/window_transformer.py | window_transformer.py | py | 9,000 | python | en | code | 6,665 | github-code | 21 | [
{
"api_name": "darts.logging.get_logger",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "darts.dataprocessing.transformers.BaseDataTransformer",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "typing.Union",
"line_number": 18,
"usage_type": "name"
}... |
13341563715 | from twilio.rest import Client
from ConfigManager import ConfigManager
class SMSService:
def SendMMS(self, message, imageLink):
configs = ConfigManager()
account_sid = configs.TWILIO_ACCOUNT_SID
auth_token = configs.TWILIO_SECRET
apiKeySID = configs.TWILIO_APIKEY
client = Client(apiKeySID,auth_t... | KeenHausOrg/DetectorSendData | DetectorSendDataSrc/SMSService.py | SMSService.py | py | 583 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "ConfigManager.ConfigManager",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "twilio.rest.Client",
"line_number": 10,
"usage_type": "call"
}
] |
43735475599 | """
Mikkoo Worker Process
=====================
Connects to Postgres and processes PgQ batches, publishing the events in
the batch to RabbitMQ.
"""
import asyncio
import copy
import datetime
import json
import logging
import multiprocessing
import os
import signal
import socket
import ssl
import sys
import time
import... | gmr/mikkoo | mikkoo/worker.py | worker.py | py | 29,898 | python | en | code | 11 | github-code | 21 | [
{
"api_name": "logging.getLogger",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "multiprocessing.Process",
"line_number": 43,
"usage_type": "attribute"
},
{
"api_name": "mikkoo.state.State",
"line_number": 43,
"usage_type": "attribute"
},
{
"api_name":... |
40525522894 | import numpy as np
import cv2
import matplotlib.pyplot as plt
import clipboard
import graphviz
from typing import Set
def read_file(path):
with open(path) as f:
return f.read()
class node:
def single_visit_node(self):
return self.rep.islower()
def __init__(self, neighbours, rep):
... | Wellidontcare/advent_of_code2021 | 12/solution.py | solution.py | py | 5,100 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "graphviz.Digraph",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "typing.Set",
"line_number": 62,
"usage_type": "name"
},
{
"api_name": "typing.Set",
"line_number": 78,
"usage_type": "name"
},
{
"api_name": "numpy.zeros",
"line_number... |
6641419493 | import time
from federatedml.statistic.intersect.bark_oprf_intersect.bark_oprf_intersect_base import BaRK_OPRF_Intersection
from federatedml.util import consts, LOGGER
from federatedml.util.data_compress_decompress import zlibcompress,zlibdecompress_dataframe
from math import ceil,sqrt
import multiprocessing
import os... | Seceum/SeceumFL | python/federatedml/statistic/intersect/bark_oprf_intersect/bark_oprf_intersect_guest.py | bark_oprf_intersect_guest.py | py | 15,286 | python | en | code | 15 | github-code | 21 | [
{
"api_name": "federatedml.statistic.intersect.bark_oprf_intersect.bark_oprf_intersect_base.BaRK_OPRF_Intersection",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "federatedml.util.consts.GUEST",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "federatedm... |
73255074294 | #!/usr/bin/env python3
import matplotlib.pyplot as plt
from mc3g_plot import plot
vr = 0.8 # vaccine rate
ve = 0.8 # US CDC data
p = 1e-2 # prevalence
N = 100 # number of participants
sens = 0.8 # test sensitivity
spec = 0.97 # test specifity
runs = 10_000 # number of Monte Carlo... | kohlrabi/mc3g | main.py | main.py | py | 388 | python | en | code | 4 | github-code | 21 | [
{
"api_name": "mc3g_plot.plot",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.show",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 18,
"usage_type": "name"
}
] |
43200028587 | import datetime
import logging
import os
import sys
import time
from collections import OrderedDict
from operator import itemgetter
import dateutil
import dateutil.parser
import dateutil.tz
import six
if six.PY3 and sys.version_info < (3,3):
class _MetaColor(type):
def __getattr__(self, item):
... | Nekmo/simple-monitor-alert | simple_monitor_alert/sma.py | sma.py | py | 8,642 | python | en | code | 29 | github-code | 21 | [
{
"api_name": "six.PY3",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "sys.version_info",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "six.with_metaclass",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "terminaltables.... |
6889381003 | import os
from tqdm import tqdm
import utils.io as io
from .constants import ImagenetConstants
def main():
const = ImagenetConstants()
print('Reading txt file ...')
with open(const.is_a_txt,'r',encoding='ISO-8859-1') as f: #ISO-8859-1
lines = f.readlines()
print('Parsing is_a relationshi... | BigRedT/vico | data/imagenet/create_wordnet_edges.py | create_wordnet_edges.py | py | 620 | python | en | code | 25 | github-code | 21 | [
{
"api_name": "constants.ImagenetConstants",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "utils.io.dump_json_object",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "utils.io",
"line_number": 20,
"usage_type": "name"
}
] |
32971889833 | from rest_framework import routers
from rest_framework.schemas import get_schema_view
from rest_framework_swagger.renderers import SwaggerUIRenderer, OpenAPIRenderer
from core.views import SolutionView, AppView, AppVersionView, EntityView, EntityMapView, BranchView
__all__ = ['router', ]
schema_view = get_schema_... | Forked-ONS/domain_schema | core/router.py | router.py | py | 954 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "rest_framework.schemas.get_schema_view",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "rest_framework_swagger.renderers.SwaggerUIRenderer",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "rest_framework_swagger.renderers.OpenAPIRenderer",
... |
9580010467 |
# Import necessary packages
import numpy as np
import cv2 as cv
import time
"Detection and draw face/eyes on current frame"
def detect(img, cascade):
rects = cascade.detectMultiScale(img, scaleFactor=1.3, minNeighbors=4, minSize=(30, 30),
flags=cv.CASCADE_SCALE_IMAGE)
... | micherbl/Security-camera | security_cam_final/DetectAndDraw.py | DetectAndDraw.py | py | 550 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "cv2.CASCADE_SCALE_IMAGE",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "cv2.rectangle",
"line_number": 19,
"usage_type": "call"
}
] |
22605552674 | import h2o
from h2o.estimators.aggregator import H2OAggregatorEstimator
from h2o_wave import Q, app, data, main, ui
from h2o_wave.core import Expando
@app("/")
async def serve(q: Q) -> None:
"""
Handle interactions from the browser such as new arrivals and button clicks
:param q: Query argument from the H... | h2oai/wave-big-data-visualizer | src/app.py | app.py | py | 5,938 | python | en | code | 6 | github-code | 21 | [
{
"api_name": "h2o_wave.Q",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "h2o_wave.app",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "h2o_wave.Q",
"line_number": 34,
"usage_type": "name"
},
{
"api_name": "h2o_wave.ui.meta_card",
"line_nu... |
70600291574 | from django.db import models
import uuid
from users.models import User
# Create your models here.
class Function(models.Model):
id = models.UUIDField(primary_key=True, default=uuid.uuid4, editable=False)
name = models.CharField(max_length=50, null=False, blank=False)
body = models.TextField(null=False, b... | abdoafage/lambda-function | backend/functions/models.py | models.py | py | 863 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.db.models.Model",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "django.db.models.UUIDField",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "... |
72905135733 | import os
import colorama
from datetime import datetime, date
from colorama import Fore, Back, Style
import time
import ctypes
ctypes.windll.kernel32.SetConsoleTitleW("Loyalty Card Validation Checker | Made by Jac Prosser")
def process():
os.system("cls")
print(Fore.RED + """
_ _ _ ... | JacProsser/college | Assignment 2 - Procedural Programming/LoyaltyChecker.py | LoyaltyChecker.py | py | 5,782 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "ctypes.windll.kernel32.SetConsoleTitleW",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "ctypes.windll",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "os.system",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "co... |
23591564015 | import os
import yara
from scanner.extract_info import FileExtract
class MalwareExtractor:
def __int__(self, root_dir, yara_rules_file):
self.root_dir = root_dir
self.yara_rules_file = yara_rules_file
self.rules = yara.load(self.yara_rules_file)
@staticmethod
def compile_yara_rules(yara_directory):
if os... | malwarai/malware-extractor | scanner/scan.py | scan.py | py | 1,998 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "yara.load",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path.isdir",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "os.listdir",
"line_number": ... |
15088393225 | import requests
import json
import jsonpath
url_all_students = 'https://thetestingworldapi.com/api/studentsDetails'
url_particular_student = 'https://thetestingworldapi.com/api/studentsDetails/2678942'
def test_fetch_all_student_details():
# When
response = requests.get(url_all_students)
# Then
assert... | AlexandraNayanzina/api_automation | tests/test_FetchStudentDataGETReq.py | test_FetchStudentDataGETReq.py | py | 973 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "requests.get",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": ... |
30597668928 | from django.conf.urls import patterns, include, url
from django.contrib import admin
from . import views
urlpatterns = patterns('',
# Examples:
# url(r'^$', 'cssanews.views.home', name='home'),
# url(r'^blog/', include('blog.urls')),
url(r'^$', views.index, name='index'),
url(r'^edit/$', views.edit, name... | xsunfeng/cssanews | news/urls.py | urls.py | py | 589 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.conf.urls.patterns",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "dja... |
8619435672 | """
Module with Event Endpoints
"""
from functools import wraps
from typing import Callable, Dict, Tuple
from flask import Response
from flask import request, jsonify
from flask_login import login_required, current_user
from flask_restx import Resource
from flask_app import db
from flask_app.models.event import Event... | Kyrylo-Kotelevets/Flask_Events | flask_app/resources/event.py | event.py | py | 6,172 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "flask_restx.Resource",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "flask_app.models.event.EventModel.find_by_id",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "flask_app.models.event.EventModel",
"line_number": 34,
"usage_type": "n... |
33014789946 | """_summary_
Returns:
_type_: _description_
"""
import os
import urllib.parse
import psycopg
from dotenv import dotenv_values
from tqdm import tqdm
os.chdir(os.path.dirname(__file__))
if os.path.exists(".env"):
config = dotenv_values(".env")
elif os.path.exists("../../.env"):
config = dotenv_values("../... | Lexika-Project/lexika | site/database.py | database.py | py | 14,688 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "os.chdir",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "os.path.exists",
"line_numb... |
30248036353 | import unittest
import ConfigParser
def load_settings(confpath, basepath):
'''load settings'''
default_key = {'here': basepath}
configparser = ConfigParser.ConfigParser(default_key)
if not configparser.read(confpath):
raise ConfigParser.Error('Could not open %s' % confpath)
settings = {}
... | lianemeth/bandrehearsal | bandrehearsal/tests/test_functional.py | test_functional.py | py | 810 | python | en | code | 4 | github-code | 21 | [
{
"api_name": "ConfigParser.ConfigParser",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "ConfigParser.Error",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "unittest.TestCase",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "we... |
12891211985 | from __future__ import print_function
import cv2 as cv
import argparse
from PIL import Image
import numpy as np
def detectAndDisplay(frame):
font = cv.FONT_HERSHEY_SIMPLEX
frame_gray = cv.cvtColor(frame, cv.COLOR_BGR2GRAY)
frame_gray=cv.GaussianBlur(frame_gray, (5,5),3)
frame_gray = cv.equalizeHist(fr... | manthanmkulakarni/ManipalHackathonAllFiles | hand.py | hand.py | py | 1,978 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "cv2.FONT_HERSHEY_SIMPLEX",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "cv2.cvtColor",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2GRAY",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "cv2.G... |
32876938211 | from typing import List
class Solution:
def calculateTax(self, brackets: List[List[int]], income: int) -> float:
tax = .0
i = 0
prev_upper = 0
while(income > 0) and i < len(brackets):
dollar = min(brackets[i][0] - prev_upper, income)
tax_rate = bracket... | yeardream-high6/coding_test | 이부경/LeetCode/2400/2303. Calculate Amount Paid in Taxes.py | 2303. Calculate Amount Paid in Taxes.py | py | 732 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "typing.List",
"line_number": 4,
"usage_type": "name"
}
] |
9999908534 | from random import randrange
from termcolor import colored
class Cards:
index = -1
deck_num = 52
deck = []
played = []
sorted_hearts = []
sorted_diamonds = []
sorted_clubs = []
sorted_spades = []
ranks = ['A', 2, 3, 4, 5, 6, 7, 8, 9, 10, 'J', 'Q', 'K']
suits = ['♥', '♦', '♣', '♠']
def _getRank(self):
... | stpettersens/21 | pygame/cards.py | cards.py | py | 3,609 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "random.randrange",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "random.randrange",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "termcolor.colored",
"line_number": 76,
"usage_type": "call"
},
{
"api_name": "termcolor.colored... |
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