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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
569619653 | import os.path
from datetime import datetime
from tablib import Dataset
from core.admin import AuthorAdmin, BookAdmin, BookResource, CustomBookAdmin
from core.models import Author, Book, Category, EBook, Parent
from django.contrib.admin.models import LogEntry
from django.contrib.auth.models import User
from django.co... | null | tests/core/tests/test_admin_integration.py | test_admin_integration.py | py | 15,642 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.test.testcases.TestCase",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "django.contrib.auth.models.User.objects.create_user",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.models.User.objects",
"line_number": 2... |
83107207 | import pickle
import sys
import numpy as np
from gpar import GPARRegressor
from lab import B
from wbml.data.air_temp import load as load_temp
B.epsilon = 1e-6
d_size = 0 if len(sys.argv) < 2 else int(sys.argv[1])
d_all, d_train, d_tests = load_temp()[d_size]
n_ind = [10 * 10 + 1, 10 * 15 + 1, 10 * 31 + 1][d_size]
... | null | examples/paper/air_temp.py | air_temp.py | py | 1,449 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "lab.B.epsilon",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "lab.B",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "sys.argv",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "wbml.data.air_temp.load",
"l... |
243174731 | """APP
Module with all the available endpoints and the FastAPI initialization.
"""
# # Native # #
import asyncio
import contextlib
# # Installed # #
import uvicorn
import fastapi
# # Project # #
from .settings_handler import settings
__all__ = ("app", "run")
app = fastapi.FastAPI(
title=settings.name,
desc... | null | my_api/app.py | app.py | py | 731 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "fastapi.FastAPI",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "settings_handler.settings.name",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "settings_handler.settings",
"line_number": 19,
"usage_type": "name"
},
{
"api... |
378776582 | from functools import wraps
import graphene
import graphql_jwt
from . import mixins
from .testcases import SchemaTestCase
def input_variables(f):
@wraps(f)
def wrapper(self, variables):
return f(self, {'input': variables})
return wrapper
class ObtainJSONWebTokenTests(mixins.ObtainJSONWebToken... | null | tests/test_relay.py | test_relay.py | py | 1,759 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "functools.wraps",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "testcases.SchemaTestCase",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "graphene.ObjectType",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "gra... |
81009005 | """
Copyright 2019 Alexander Meulemans
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
"""
import sys
sys.path.append('.')
from layers.layer import Rel... | null | experiments/run_mnist_capsules.py | run_mnist_capsules.py | py | 3,824 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sys.path.append",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "torch.manual_seed",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "torch.cuda.manual_see... |
8477789 | # from hashlib import md5
# import base64
# import os
# import chardet
import time
import requests
import traceback
from tools import cntools
def RequestGet(url, timeout = 1, retry_times=3,sleep_time = 0):
res = None
if retry_times > 0:
for i in range(retry_times):
try:
res... | null | MyRequest.py | MyRequest.py | py | 794 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "requests.get",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "traceback.print_exc",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_... |
115178539 | import re
from collections import Counter
class Solution:
def mostCommonWord(self, paragraph: str, banned: List[str]) -> str:
if not paragraph:
return
ans = ''
l = re.split('\W',paragraph)
l = [i.lower() for i in l if i]
c = Counter(l)
banned = s... | null | leetcode/amazon/mostCommonWord.py | mostCommonWord.py | py | 606 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "re.split",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "collections.Counter",
"line_number": 12,
"usage_type": "call"
}
] |
557280374 | import requests
import os
import json
import datetime
import time
from datetime import timedelta
import dateutil.parser
from bs4 import BeautifulSoup
from datetime import datetime
import threading
# For sports, if you want to add another category, all you need to is add the link to the list
alllinks = ["ht... | null | Faster_Generate.py | Faster_Generate.py | py | 2,910 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "requests.get",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_nu... |
626965441 | import requests
import json
import pymysql
import re
conn = pymysql.connect(
host="localhost",
port=3306,
user="root",
password="123456",
database="goods",
charset="utf8",
)
cursor = conn.cursor()
url = "http://tlzf12345.tieling.gov.cn:8082/Api/V1/Problem/GetProblemHuiFuGengDuo"
payload = "Cha... | null | 03/0320/铁岭市.py | 铁岭市.py | py | 3,250 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pymysql.connect",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "requests.request",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "requests.request",
"li... |
304077177 | from django.utils import timezone
from django.utils.deprecation import MiddlewareMixin
class UpdateLastRequestMiddleware(MiddlewareMixin):
"""Last activity middleware"""
def process_view(self, request, view_func, view_args, view_kwargs):
"""Update user last_request"""
assert hasattr(
... | null | accounts/middleware.py | middleware.py | py | 597 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.utils.deprecation.MiddlewareMixin",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "django.utils.timezone.now",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "django.utils.timezone",
"line_number": 14,
"usage_type": "name"
}
] |
388030834 | # -*- coding: utf-8 -*-
import re
import scrapy
from cctv_OpinionMonitor3 import helper
from cctv_OpinionMonitor3.items import YoutubeItem
from scrapy_splash import SplashRequest
from scrapy.conf import settings
class YoutubeSearchSpider(scrapy.Spider):
name = 'youtube.search'
limittime = settings.get('CRAWL_... | null | cctv_OpinionMonitor3/cctv_OpinionMonitor3/spiders/youtube_search.py | youtube_search.py | py | 4,435 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "scrapy.Spider",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "scrapy.conf.settings.get",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "scrapy.conf.settings",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "scra... |
180368815 | #!/usr/bin/env python3
'''\
A fake Eureka server.
Spinning the whole Spring Framework Netflix Eureka would take too long,
thus we are going to fake the responses.
'''
import sys
import asyncio
from aiohttp import web
import logging as LOG
routes = web.RouteTableDef()
# Followjng the responses from https://github... | null | deployments/docker/images/cega/eureka.py | eureka.py | py | 1,990 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "aiohttp.web.RouteTableDef",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "aiohttp.web",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "aiohttp.web.HTTPNoContent",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "aioht... |
135625788 | from __future__ import unicode_literals
import json
from moto.core.responses import BaseResponse
from .models import ecr_backends
class ECSContainerRegistryResponse(BaseResponse):
@property
def ecr_backend(self):
return ecr_backends[self.region]
@property
def request_params(self):
tr... | null | moto/ecr/responses.py | responses.py | py | 2,343 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "moto.core.responses.BaseResponse",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "models.ecr_backends",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "json.loads",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "json.d... |
334177351 | from django.http import HttpResponse, Http404, HttpResponseServerError
from django.template.context_processors import csrf
from django.views.decorators.csrf import csrf_exempt
from django.conf import settings
from django.shortcuts import render_to_response
def index(request):
return HttpResponse("Well this is good... | null | Bank/views.py | views.py | py | 1,183 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.http.HttpResponse",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.template.context_processors.csrf",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "django.conf.settings.BASE_DIR",
"line_number": 23,
"usage_type": "attribu... |
161563148 | import requests
import sys
import urllib
from bs4 import BeautifulSoup
from urllib.parse import quote
class DRAR:
def __init__(self,name):
self.name=name
def get_download_link(self):
print('开始搜索小说《%s》'%(self.name))
req=requests.get(url='http://www.zxcs.me/index.php?keyword='+quote(... | null | DFN.py | DFN.py | py | 2,198 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "requests.get",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "urllib.parse.quote",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",... |
623669013 | import inspect
import re
import typing
from functools import reduce
def _python_type_to_schema_type(p):
if p == 'str':
dtype = 'string'
elif p == 'int' or p == 'float':
dtype = 'number'
elif p in {'typing.List[str]', 'typing.Tuple[str]', 'list', 'tuple'}:
dtype = 'array'
elif p... | null | jina/schemas/helper.py | helper.py | py | 4,778 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "inspect.signature",
"line_number": 76,
"usage_type": "call"
},
{
"api_name": "inspect._empty",
"line_number": 85,
"usage_type": "attribute"
},
{
"api_name": "inspect._empty",
"line_number": 89,
"usage_type": "attribute"
},
{
"api_name": "typing.Unio... |
561505554 | import sqlite3
import os
conn = sqlite3.connect('rpg_db.sqlite3')
cursorObj = conn.cursor()
# cursorObj.execute('SELECT name FROM sqlite_master where type= "table"')
# for x in cursorObj.fetchall():
# print(x[0])
# How many total Characters are there?
print(os.listdir())
print(os.path.abspath(os.getcwd())... | null | module1-introduction-to-sql/mod1_query.py | mod1_query.py | py | 3,135 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sqlite3.connect",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path.abspath",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number"... |
175714490 | import requests
import rollbar
from django.conf import settings
from django.contrib.auth.decorators import login_required
from django.http import HttpResponse
from django.views.decorators.http import require_POST
from podcasts.lookup import get_podcast
@require_POST
@login_required
def submit(req):
pod = get_podc... | null | dashboard/views_spotify.py | views_spotify.py | py | 1,424 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "podcasts.lookup.get_podcast",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "django.http.HttpResponse",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "django.http.HttpResponse",
"line_number": 17,
"usage_type": "call"
},
{
"api... |
176134523 | #Types.
from typing import Dict, List, IO, Any
#Blockchain class.
from PythonTests.Classes.Merit.Blockchain import Blockchain
#Meros classes.
from PythonTests.Meros.RPC import RPC
from PythonTests.Meros.Liver import Liver
from PythonTests.Meros.Syncer import Syncer
#JSON standard lib.
import json
def ChainAdvanceme... | null | PythonTests/Tests/Merit/ChainAdvancementTest.py | ChainAdvancementTest.py | py | 851 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "PythonTests.Meros.RPC.RPC",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "typing.IO",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "typing.Any",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "typing.List",
"lin... |
421580907 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
import logging
import warnings
from functools import wraps
from main.settings import Config
from main.mixins.models import BaseLogMixin, BaseMixin
def save_log(logger):
# check if model has required interface by inheritance
if not issubclass(logger, BaseLogMix... | null | main/utils/logger.py | logger.py | py | 1,790 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "main.mixins.models.BaseLogMixin",
"line_number": 15,
"usage_type": "argument"
},
{
"api_name": "main.mixins.models.BaseMixin",
"line_number": 16,
"usage_type": "argument"
},
{
"api_name": "warnings.catch_warnings",
"line_number": 24,
"usage_type": "call"
... |
466554039 | # -*- coding: utf-8 -*-
from flask import Flask , render_template, request, jsonify
import time
import serial
from threading import Thread
import threading
import struct
import sys
import string
import binascii
import datetime
# initialisation port serie Arduino
# Pour Pi2
# ser = serial.Serial('/dev/ttyAMA0', 9600)
... | null | Pi/webserie.py | webserie.py | py | 7,207 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "serial.Serial",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "flask.Flask",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "threading.Lock",
... |
620392657 | import re
import inspect
import logging
import glob
from importlib.util import find_spec, module_from_spec
from zope.interface import implementer, Interface, Attribute
from zope.interface.verify import verifyObject
from zope.interface.exceptions import BrokenImplementation
from detectem.settings import PLUGIN_PACKAG... | null | detectem/plugin.py | plugin.py | py | 4,495 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.getLogger",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "glob.glob",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "zope.interface.verify.verifyObject... |
646239994 | #!/usr/bin/env python
import pygame
import random
import sigil
WIDTH = 800
HEIGHT = 600
SCALE = .01
LIMIT = .01
Screen = sigil.screen.Screen((WIDTH, HEIGHT), "Zoom Test")
Camera = sigil.screen.ZoomCamera(
0, 0, WIDTH, HEIGHT,
0, 1000, 0, 1000,
SCALE, LIMIT,
#S_x=1,
#M_x=1, P_x=1
)
Group = sigil... | null | OtherCodeIhaveYetToSiftThrough/Sigil Project/Previous Work/CE proj/zoomExample.py | zoomExample.py | py | 4,010 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sigil.screen.Screen",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "sigil.screen",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "sigil.screen.ZoomCamera",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "sigil.s... |
127831375 |
'''
이 글은 아래 'Data ScienceTutorial for Beginners'를 번역한 글 입니다.
최대한 부드럽게 번역하려 노력했으며, 원글의 표현에서 벗어나지 않는 선에서 초월번역(?)을 했습니다.
원글은 아래 링크를 통해 확인하실 수 있습니다.
영어가 필요하다 싶은 부분들은 원문 그대로 썼으며, 많이 부족하다보니 언제든지 피드백 환영합니다.
함수 파라미터 관련은 번역이 필요하면 번역합니다.
'''
# https://www.kaggle.com/kanncaa1/data-sciencetutorial-for-beginners/
# Data Science... | null | transcription/Data_ScienceTutorial_for_Beginners.py | Data_ScienceTutorial_for_Beginners.py | py | 10,433 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "subprocess.check_output",
"line_number": 138,
"usage_type": "call"
},
{
"api_name": "os.walk",
"line_number": 144,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 146,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_n... |
312680508 | # Megan Salvatore
# sources:
# https://www.youtube.com/watch?v=VW8qJxy4XcQ
# https://stackoverflow.com/questions/16877422/whats-the-best-way-to-parse-a-json-response-from-the-requests-library
# https://stackoverflow.com/questions/50588755/api-call-for-marvel-developers-only-receiving-one-page
# https://stackabuse.com/... | null | services.py | services.py | py | 3,286 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sys.argv",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "flask.Flask",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "flask_httpauth.HTTPBasicAuth"... |
228216299 | """Tests for the Block class."""
from nose.tools import assert_equal, assert_raises
from codetools.blocks.api import Block
from codetools.contexts.api import DataContext
def test_basic_01():
"""Test basic use of a Block."""
code = 'x = 100\ny = x + 1'
b = Block(code)
assert_equal(b.inputs, set([]))
... | null | codetools/blocks/tests/test_block.py | test_block.py | py | 3,299 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "codetools.blocks.api.Block",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "nose.tools.assert_equal",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "nose.tools.assert_equal",
"line_number": 14,
"usage_type": "call"
},
{
"api_na... |
168593120 | import logging
import unittest
import uuid
from typing import Any
import aiounittest
from ttls.client import Twinkly, TwinklyFrame
_LOGGER = logging.getLogger(__name__)
class TwinklyMock(Twinkly):
async def send_frame(self, frame: TwinklyFrame) -> None:
_LOGGER.debug("MOCK: send_frame()")
async de... | null | tests/test_generic.py | test_generic.py | py | 1,917 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.getLogger",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "ttls.client.Twinkly",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "ttls.client.TwinklyFrame",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "typing... |
518279561 | import numpy as np
import matplotlib.pyplot as plt
import networkx as nx
from scipy import fftpack
from scipy import signal
data = np.loadtxt('Ach_spike.txt')
W = np.loadtxt('strangr_1_2.txt')
data_array = np.loadtxt('Ach_array.txt')
plt.figure()
plt.scatter(data[:,0],data[:,1],cmap='viridis',linewidth=0.5,color="k",... | null | time_scatter.py | time_scatter.py | py | 6,542 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.loadtxt",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.loadtxt",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.loadtxt",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
... |
156481768 | import os
from sense_hat import SenseHat
import sqlite3 as lite
from datetime import datetime
class SensorReading:
__temperature = NotImplemented
__humidity = NotImplemented
__temp_diff = NotImplemented
__humid_diff = NotImplemented
def __init__(self):
sense = SenseHat()
sense.cl... | null | record.py | record.py | py | 1,544 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sense_hat.SenseHat",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.popen",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",... |
378537862 | from collections import deque
start, end = input().split()
N = int(input())
S = set([input() for _ in range(N)])
S.add(start)
S.add(end)
S = list(S)
N = len(S)
edges = [[] for _ in range(N)]
startI, endI = S.index(start), S.index(end)
def canChange(S, T):
ret = 0
for s, t in zip(S, T):
if s != t:
... | null | AtCoder/arc/011c_3.py | 011c_3.py | py | 1,001 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "collections.deque",
"line_number": 31,
"usage_type": "call"
}
] |
268919744 | from uuid import UUID
import pytest
from citrine._session import Session
from citrine._utils.functions import scrub_none
from citrine.exceptions import BadRequest
from citrine.resources.api_error import ValidationError
from citrine.resources.material_run import MaterialRunCollection
from gemd.entity.bounds.integer_bou... | null | tests/resources/test_material_run.py | test_material_run.py | py | 14,414 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "tests.utils.session.FakeSession",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "pytest.fixture",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "tests.utils.session.FakeSession",
"line_number": 20,
"usage_type": "name"
},
{
... |
319786075 | #!/usr/bin/env python
import math
from math import sin, cos, pi
import rospy
import tf
from nav_msgs.msg import Odometry
from geometry_msgs.msg import Point, Pose, Quaternion, Twist, Vector3
from sensor_msgs.msg import JointState
global Angle
def callback(msg):
global Angle
Angle = msg.position[msg... | null | ROS/실습/실습_RVIZ 3D자동차 주행 프로그래밍/소스코드/rviz_odom.py | rviz_odom.py | py | 2,009 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "rospy.Subscriber",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "sensor_msgs.msg.JointState",
"line_number": 18,
"usage_type": "argument"
},
{
"api_name": "rospy.init_node",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "rospy... |
654473468 | import torch
from torchvision import datasets, transforms
import numpy as np
import timeit
from collections import OrderedDict
from pprint import pformat
from knn import knn
def compute_score(acc, min_thres, max_thres):
if acc <= min_thres:
base_score = 0.0
elif acc >= max_thres:
base_score = ... | null | Week 2/Assignment 1/main.py | main.py | py | 3,611 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "torch.cuda.is_available",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "torch.device",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "torch.cuda.get_d... |
578274559 | from . import error, tool, types
from collections import namedtuple, deque
from contextlib import contextmanager
import llvmlite.ir as ir
import llvmlite.binding as llvm
from . tool import extends
Chunk = namedtuple('Chunk', 'type code')
class Polymorphic(Exception): pass
class State(object):
_on_init = []... | null | slip/codegen.py | codegen.py | py | 19,053 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "collections.namedtuple",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "tool.Context",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "tool.Context",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "llvmlite.ir.Module",... |
640679624 | # -*- coding: utf-8 -*-
"""
Created on Sat Feb 2 16:30:44 2019
@author: SmartDATA
"""
import scipy.io
import numpy as np
import torch
import torch.nn as nn
import torch.utils.data
import matplotlib.pyplot as plt
import seaborn as sns
sns.set_style("whitegrid")
import pickle
'''-------------------... | null | autoencoder_vibration_signal_correlation_coeff.py | autoencoder_vibration_signal_correlation_coeff.py | py | 7,703 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "seaborn.set_style",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.shape",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "numpy.corrcoef",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_... |
51769916 | from kivy.uix.screenmanager import Screen
from kivy.properties import ListProperty, StringProperty, BooleanProperty
from kivy.properties import NumericProperty
from kivy.clock import Clock
from kivy.app import App
from os import linesep
from functools import partial
# Self created components
from components import Th... | null | app/screens/frontscreen.py | frontscreen.py | py | 7,449 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "kivy.uix.screenmanager.Screen",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "kivy.properties.ListProperty",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "kivy.properties.ListProperty",
"line_number": 24,
"usage_type": "call"
},
... |
258105400 | #!/usr/bin/python3
"""cppnamelint.
Usage:
cppnamelint.py check <srcdir> <config> [--includes=<dirs>] [--ignores=<paths>]
cppnamelint.py pack <rootdir> <outputdir>
cppnamelint.py test <srcdir> <config>
cppnamelint.py test-sample <sampledir>
cppnamelint.py (-h | --help)
cppnamelint.py (-v | --version)
c... | null | Script/cppnamelint.py | cppnamelint.py | py | 13,213 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "subprocess.Popen",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "subprocess.PIPE",
"line_number": 56,
"usage_type": "name"
},
{
"api_name": "os.path.basename",
"line_number": 68,
"usage_type": "call"
},
{
"api_name": "os.path",
"line... |
531224072 | from __future__ import absolute_import, unicode_literals
from celery import shared_task
import pusher
import time
import json
from SentimentAnalysis import Sentiment_Analysis as sa
from spot_auth.models import Profile
class LogPusher(object):
def __init__(self, channel, event):
self.pusher_client = pushe... | null | spot_auth/tasks.py | tasks.py | py | 2,657 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pusher.Pusher",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "celery.shared_task",
"line_nu... |
470305251 | # -*- coding: utf-8 -*-
import falcon
from elasticsearch import TransportError
from falcon.util import to_query_str
from mcod import settings
from mcod.histories.models import History
from mcod.core.api.parsers import Parser
class BaseHandler:
def __init__(self, request, response):
self.request = reques... | null | mcod/lib/handlers.py | handlers.py | py | 5,043 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "mcod.core.api.parsers.Parser",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "falcon.util.to_query_str",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "mcod.settings.PER_PAGE_DEFAULT",
"line_number": 76,
"usage_type": "attribute"
},
... |
247050350 | from js9 import j
from .http import HTTPServer
from .dhcp import DHCP
from .firewall import Firewall
from ..abstracts import Collection
from .network import Networks
from .cloudinit import CloudInit
import yaml
import time
class DestBind:
def __init__(self, ipaddress, port):
"""
Portforward target... | null | JumpScale9Lib/clients/zero_os/sal/gateway/gateway.py | gateway.py | py | 26,692 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "abstracts.Collection",
"line_number": 102,
"usage_type": "name"
},
{
"api_name": "abstracts.Collection",
"line_number": 153,
"usage_type": "name"
},
{
"api_name": "network.Networks",
"line_number": 186,
"usage_type": "call"
},
{
"api_name": "network... |
448801483 | # -*- coding: utf-8 -*-
import configparser
from demo.utils.Logger import Logger
logger = Logger.get_logger('LOG_FILE.LOG')
class ConfigUtils(object):
@staticmethod
def get_config(file_path):
try:
config = configparser.ConfigParser()
return config.read(file_path)
exce... | null | demo/utils/ConfigFileUtils.py | ConfigFileUtils.py | py | 3,005 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "demo.utils.Logger.Logger.get_logger",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "demo.utils.Logger.Logger",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "configparser.ConfigParser",
"line_number": 13,
"usage_type": "call"
},
{
... |
9211809 | #!/usr/bin/env python
import time
from pescan.utils import getEpicsPV
from ophyd.controls import EpicsSignal
class Shutter(object):
"""Open and close fast shutter.
"""
def __init__(self, basepvname):
self._setEpicsShutterCommands(basepvname)
self._setEpicsShutterStatus(basepvname)
... | null | archived/profile_2015_collection/pescan/shuttercontrol.py | shuttercontrol.py | py | 1,678 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pescan.utils.getEpicsPV",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "pescan.utils.getEpicsPV",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "ophyd.controls.EpicsSignal",
"line_number": 21,
"usage_type": "call"
},
{
"api_na... |
236957085 | # run with cat categorical_features.txt | parallel --jobs 6 python 4_mean_target_value.py {}
# coding: utf-8
import sys
from time import time
import pandas as pd
import numpy as np
import feather
column = sys.argv[1]
C = 12
print('processing column %s...' % column)
df_all = feather.read_dataframe('tmp/clicks_train_5... | null | 4_mean_target_value.py | 4_mean_target_value.py | py | 3,754 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sys.argv",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "feather.read_dataframe",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "feather.read_dataframe",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pandas.re... |
290737472 | import random
from sim.cal_groupsim import cal_2avglinkage
import numpy as np
from sklearn.metrics import roc_curve, auc
import matplotlib.pyplot as plt
from sim.cal_individualsim import cal_2indicosine, cal_2indijaccard, cal_2indilin, cal_2indimathurscore
def jizhunji(path, method):
y_test_jizhun = [] # 0/1 真... | null | result/测量疾病数为4方法为avglinkage的个体疾病方法.py | 测量疾病数为4方法为avglinkage的个体疾病方法.py | py | 5,236 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sim.cal_groupsim",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "sim.cal_groupsim.cal_2avglinkage",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "sim.cal_groupsim",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "si... |
316297473 | import os
import termios
import struct
import zlib
from enum import Enum
from fractions import Fraction
import logging
from artiq.language import core as core_language
from artiq.language import units
from artiq.language.context import *
from artiq.coredevice.runtime import Environment
from artiq.coredevice import run... | null | artiq/coredevice/comm_serial.py | comm_serial.py | py | 7,178 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.getLogger",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "enum.Enum",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "enum.Enum",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "os.open",
"line_number": 69... |
596884270 | from rdflib import Graph
class GraphStore:
casesInstance = None
newsInstance = None
articlesInstance = None
@staticmethod
def getInstance(graph_type):
if graph_type == "cases":
if GraphStore.casesInstance is None:
GraphStore.casesInstance = Graph().parse(f"../c... | null | coda_graph/graph_store.py | graph_store.py | py | 912 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "rdflib.Graph",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "rdflib.Graph",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "rdflib.Graph",
"line_number": 21,
"usage_type": "call"
}
] |
112971903 | from core.solver_e2e import CaptioningSolver
from core.model_attention import CaptionGenerator
#from core.rl_solve_debug import CaptioningSolver
#from core.rl_model import CaptionGenerator
from core.dataset import *
#from core.utils import load_coco_data
import os,pickle
import mxnet as mx
def main():
# load train... | null | train.py | train.py | py | 2,019 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.path.join",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "pickle.load",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "core.model_attention.CaptionGen... |
583091603 | import json
import requests
from datetime import date, timedelta
import statistics
"""finding dates of the 1st day of this month and today"""
firstDay = date.today().replace(day=1)
lastDay = date.today()
"""function for getting all the winning numbers for a specific date via OPAP's API"""
def get_winning_numbers(da... | null | opap.py | opap.py | py | 1,176 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "datetime.date.today",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "datetime.date",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "datetime.date.today",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "datetime.date",
... |
527078918 | from django.shortcuts import render,redirect
from django.http import HttpResponse
from models import Order,Product,OrderProduct
from django.core.paginator import Paginator, EmptyPage, PageNotAnInteger
from django.core import serializers
from django.db.models import Q
from django.contrib.auth.models import User
from dja... | null | ecomsite/ecommerce/views.py | views.py | py | 4,569 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.shortcuts.render",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "models.Product.objects.filter",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "models.Product.objects",
"line_number": 20,
"usage_type": "attribute"
},
{
... |
144081104 | from core.decorators import instance, command
from core.db import DB
from tools.text import Text
from tools.command_param_types import Any
from tools.chat_blob import ChatBlob
@instance()
class CharacterInfoController:
def __init__(self):
pass
def inject(self, registry):
self.db: DB = registr... | null | modules/core/whois/character_info_controller.py | character_info_controller.py | py | 3,442 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "core.db.DB",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "tools.text.Text",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "tools.chat_blob.ChatBlob",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "core.decorators.c... |
443493292 | #! /usr/bin/env python3
import argparse
import json
import logging
import logging.config
import os
import sys
import time
import subprocess
from logger import setup_custom_logger
from concurrent import futures
from datetime import datetime
# Import config file
from configparser import ConfigParser
config = ConfigPar... | null | sse-aai-zsa/Zsa/ExtentionService_zsa.py | ExtentionService_zsa.py | py | 9,603 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "configparser.ConfigParser",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "logger.setup_custom_logger",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "... |
150215303 | import logging
from math import inf
from typing import Dict
from gym_fin.envs import fin_base_sim as f
from gym_fin.envs.sim_env import expose_to_plugins
from gym_fin.envs import utils
logger = logging.getLogger(__name__)
class PensionSimError(Exception):
pass
class PensionSim(f.FinBaseSimulation):
"""Mai... | null | examples/pension.py | pension.py | py | 13,224 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.getLogger",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "gym_fin.envs.fin_base_sim.FinBaseSimulation",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "gym_fin.envs.fin_base_sim",
"line_number": 16,
"usage_type": "name"
}... |
88267944 | # -*- coding: utf-8 -*-
import os
import sys
import random
import math
import numpy as np
import skimage.io
import matplotlib
import matplotlib.pyplot as plt
import cv2
import time
from mrcnn.config import Config
from datetime import datetime
from mrcnn import utils
import mrcnn.model as modellib
from m... | null | Mask_RCNN_code/test_model.py | test_model.py | py | 4,460 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "mrcnn.config.Config",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "os.getcwd",
"line_number": 65,
"usage_type": "call"
},
{
"api_name": "sys.path.append",
"line_number": 68,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_nu... |
475831621 | """The main command line module that defines the "gv_dashboard_data" tool."""
import datetime
import click
import numpy as np
import simplejson as json
from loguru import logger
from . import DATA_DIR
from .courts import CourtInfoByIncident
from .geo import *
from .homicides import PPDHomicideTotal
from .shootings im... | null | gun_violence_dashboard_data/__main__.py | __main__.py | py | 6,832 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "click.group",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "click.version_option",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "streets.StreetHotSpots",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "loguru.logger... |
349648451 | '''
@author: Star
@time: 06-03-2018
This is to convert Formatted Code interface into JSON or read JSON file into FCI object
'''
import os
import json
import hashlib
from Interfaces.LogWriter import LogWriter
from Interfaces.FormattedCodeInterface import FormattedCodeInterface
def to_json_str(fci_object):
if is... | null | Hester'sWorkSpace/Interfaces/FCIConverter.py | FCIConverter.py | py | 2,629 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "Interfaces.FormattedCodeInterface.FormattedCodeInterface",
"line_number": 17,
"usage_type": "argument"
},
{
"api_name": "json.dumps",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "Interfaces.LogWriter.LogWriter",
"line_number": 21,
"usage_type":... |
406767988 | """
_SubscriptionList_
Module with data structures to handle PhEDEx subscriptions
in bulk.
"""
import logging
from WMCore.WMException import WMException
PhEDEx_VALID_SUBSCRIPTION_PRIORITIES = ['low', 'normal', 'high', 'reserved']
class PhEDExSubscriptionException(WMException):
"""
_PhEDExSubscriptionExcept... | null | src/python/WMCore/Services/PhEDEx/DataStructs/SubscriptionList.py | SubscriptionList.py | py | 11,967 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "WMCore.WMException.WMException",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "logging.error",
"line_number": 194,
"usage_type": "call"
}
] |
150103480 | import pandas as pd
from sklearn.preprocessing import LabelEncoder
from sklearn.preprocessing import OneHotEncoder
from sklearn.compose import ColumnTransformer
from sklearn.metrics import confusion_matrix, accuracy_score
from sklearn.ensemble import RandomForestClassifier
from sklearn.svm import SVC
#Data rea... | null | support_vector_machine_dataset1.py | support_vector_machine_dataset1.py | py | 1,552 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pandas.read_csv",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing.LabelEncoder",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing.OneHotEncoder",
"line_number": 15,
"usage_type": "call"
},
{... |
264763139 | import yaml
import numpy as np
from functools import reduce
import operator
from astropy import wcs
import astropy.units as u
def OTF(source_ra, source_dec, time_step, start_time, rotation, x_length, y_length, separation, parameter_file_name):
#function to append points, needed for OTF scan
def _append(x,... | null | track.py | track.py | py | 5,442 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.cos",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "numpy.deg2rad",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "numpy.sin",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "numpy.deg2rad",
"line_number": ... |
187005755 | # Copyright 2019 Jij Inc.
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# http://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicable law or agreed to in writing, softwa... | null | openjij/model/model.py | model.py | py | 6,519 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "cimod.make_BinaryQuadraticModel",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "openjij.SPIN",
"line_number": 61,
"usage_type": "attribute"
},
{
"api_name": "cxxjij.graph",
"line_number": 87,
"usage_type": "attribute"
},
{
"api_name": "c... |
626296960 | # import libraries
import tables as tb
import numpy as np
import pandas as pd
import h5py
import healpy as hp
# Define simulation parameters
nside = 16
npix = hp.nside2npix(nside)
pix = range(0, npix)
source_energies=[59, 186, 356, 662, 1332]
#source_energies=[356, 662, 1332]
nDet=4
detector='lamp_cllbc'
file_prefix='... | null | Healpix/combinecllbcfiles.py | combinecllbcfiles.py | py | 1,509 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "healpy.nside2npix",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.empty",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "numpy.empty",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "numpy.empty",
"line_num... |
435196263 | import argparse
import logging
import colorlog
from ga_snake.genetic_training import GeneticTraining
log_levels = {
'debug': logging.DEBUG,
'info': logging.INFO,
'warning': logging.WARNING,
'error': logging.ERROR,
'fatal': logging.FATAL
}
log_names = list(log_levels)
def set_up_logging(args):
... | null | ga_snake/__main__.py | __main__.py | py | 4,465 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.DEBUG",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "logging.INFO",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "logging.WARNING",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "logging.ERRO... |
159717644 | import re
from helper import getSubtitles, getStartTimes
TIME_STAMP_PATTERN = r'[0-9]{2}:[0-9]{2}:[0-9]{2}.[0-9]{3} -->'
KR_OPEN_TAG_PATTERN = r'<c.korean><.*?>'
KR_CLOSE_TAG_PATTERN = r'<\/.*?><\/c.korean>'
GENERAL_OPEN_TAG_PATTERN = r'<.*?><c.*?>'
GENERAL_CLOSE_TAG_PATTERN = r'<\/.*?><\/c.*?>'
''' OUTPUT
{'00:58:57... | null | KoreanSubtitlesParser/dumpJsonForKoPos/parseLines.py | parseLines.py | py | 1,833 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "helper.getSubtitles",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "helper.getStartTimes",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_nu... |
8229577 | #! C:\Python34\python.exe
# -*- coding: utf-8 -*-
from urllib.request import Request, urlopen
import bs4 as BSoup
from threading import Thread
header = {'User-Agent': 'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.11 (KHTML, like Gecko) Chrome/23.0.1271.64 Safari/537.11',
'Accept': 'text/html,application... | null | Site.py | Site.py | py | 3,552 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "threading.Thread",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "threading.Thread.__init__",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "threading.Thread",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "urllib.re... |
29581136 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Created on 2020/7/1 22:30
@author: merci
"""
import time
import torch.optim as optim
from dataLoader import *
from model import *
from utils import *
from test import test
from train import train
def main():
device = torch.device('cuda:1' if torch.cu... | null | main.py | main.py | py | 4,246 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "torch.optim.device",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "torch.optim",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "torch.optim.cuda.is_available",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "torch.op... |
81852096 | import pytest
import requests
import os,sys
sys.path.append(os.getcwd())
import utils.exceltools as extool
import utils.dbtools as db
import utils.decorate as de
@de.prt
@de.geturl("获取问题详情",0)
def test_01_getquestiondetail_success(res,url,head):
assert res.json()["status"] == 200#状态码
assert res.status_code == ... | null | 测谈网接口自动化1/case/获取接口/test_07_getquestiondetail.py | test_07_getquestiondetail.py | py | 2,002 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sys.path.append",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "os.getcwd",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "utils.decorate.prt",
"line_n... |
364338604 | import os
import pandas as pd
from sklearn.model_selection import train_test_split
from collections import namedtuple
import csv
def traing_data(file_name):
fn = os.path.join(os.path.dirname(__file__), file_name)
data = pd.read_csv(fn, sep='\t', lineterminator='\n', names=['id', 'sent', 'tweet'])
data_cl... | null | src/helpers/data.py | data.py | py | 2,782 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.path.join",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_nu... |
257099080 | import cv2
class FaceDetect:
def __init__(self):
self._load_file_cascade = './data/haarcascade_frontalface_alt.xml'
self._load_file_girl = './data/girl.jpg'
def read_file(self):
cascade = cv2.CascadeClassifier(self._load_file_cascade)
img = cv2.imread(self._load_file_girl)
... | null | cnn2/face_detect.py | face_detect.py | py | 775 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "cv2.CascadeClassifier",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "cv2.rectangle",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "cv2.imwrite",
"line... |
357026470 | import requests
import json
from audio import play
def post_request(url, data):
print("Request sent to", url, " with data : ", data)
r = requests.post(url = url, data = data)
if(r.status_code == 200):
print("Server answers : ", r.text)
if(r.text.find("yes") != -1):
play('sons/co... | null | client/server.py | server.py | py | 564 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "requests.post",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "audio.play",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "audio.play",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "audio.play",
"line_number": 15... |
627776653 | # -*- coding: utf-8 -*-
"""
Created on Fri Apr 2 15:32:25 2021
@author: Admin
"""
import pandas as pd
df = pd.read_pickle('siteA_weekly_data_20191118_20191124.pickle')
#%%
df['category_depth3'] = df.apply(lambda x: x['category'].split(' > ')[2], axis = 1)
list_depth3 = df['category_depth3'].unique()
df_res = d... | null | src/.ipynb_checkpoints/test-checkpoint.py | test-checkpoint.py | py | 703 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pandas.read_pickle",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.rc",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "matplotlib.p... |
393733080 | from extra_geom.detectors import DetectorGeometryBase, GeometryFragment
from cfelpyutils.crystfel_utils import load_crystfel_geometry
class CrystfelGeom(DetectorGeometryBase):
"""CrystFEL geometry for a general detector
This assumes that all panels have the same number & size of pixels.
For now, it tr... | null | src/controller/panoscDEMO/cfel_geom.py | cfel_geom.py | py | 2,439 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "extra_geom.detectors.DetectorGeometryBase",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "extra_geom.detectors.GeometryFragment.from_panel_dict",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "extra_geom.detectors.GeometryFragment",
"line_... |
605962711 | # coding: utf-8
from __future__ import absolute_import
from datetime import date, datetime # noqa: F401
from typing import List, Dict # noqa: F401
from swagger_server.models.base_model_ import Model
from swagger_server.models.courier_item import CourierItem # noqa: F401,E501
from swagger_server import util
clas... | null | swagger_server/models/couriers_post_request.py | couriers_post_request.py | py | 1,855 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "swagger_server.models.base_model_.Model",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "swagger_server.models.courier_item.CourierItem",
"line_number": 18,
"usage_type": "na... |
404359753 | from flask_restful import Resource, request
from models.achievement_model import Achievement, AchievementSchema
from models.base_model import db
from flask_login import login_required
from auth import (
refresh_session,
is_authorized_view,
unauthorized
)
achievement_schema = AchievementSchema()
achievem... | null | resources/Achievement.py | Achievement.py | py | 801 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "models.achievement_model.AchievementSchema",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "models.achievement_model.AchievementSchema",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "flask_restful.Resource",
"line_number": 17,
"usage_... |
623170087 | import numpy as np
import cv2
import math
face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
cap = cv2.VideoCapture(1)
#cv2.namedWindow("original")
cv2.namedWindow("smooth")
frameSize = 500
ratio = 0.75
def getCoords(img):
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
faces = face_ca... | null | Testing/Tracking.py | Tracking.py | py | 3,540 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "cv2.CascadeClassifier",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "cv2.VideoCapture",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "cv2.namedWindow",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
... |
463100072 | # -*- coding: utf-8 -*-
import os
import codecs
import itertools
from smalltalk_replicas import SmalltalkReplicas
from simple_facts_storage import SimpleFactsStorage
class Files3FactsStorage(SimpleFactsStorage):
"""
Класс читает факты из нескольких файлов, игнорируя идентификатор собеседника.
... | null | PyModels/bot/files3_facts_storage.py | files3_facts_storage.py | py | 4,028 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "simple_facts_storage.SimpleFactsStorage",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "os.path.join",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 34,
"usage_type": "attribute"
},
{
"api_name": "cod... |
209216786 | import json
import shlex
import subprocess
from json import JSONDecodeError
from src.main.python.tranquilitybase.lib.common.FileUtils import FileUtils
# --- Logger ---
import inspect
from src.main.python.tranquilitybase.lib.common.local_logging import get_logger, get_frame_name
logger = get_logger(get_frame_name(ins... | null | src/main/python/tranquilitybase/gcpdac/main/core/shell_wrappers/shell_utils.py | shell_utils.py | py | 5,184 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "src.main.python.tranquilitybase.lib.common.local_logging.get_logger",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "src.main.python.tranquilitybase.lib.common.local_logging.get_frame_name",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "inspe... |
298250750 | import numpy as np
import mfanalysis as mf
import utils
import config as cfg
import h5py
import os
from joblib import Parallel, delayed
current_dir = os.path.dirname(os.path.abspath(__file__))
N_JOBS = 4
CONDITIONS = ['interictal', 'preictal'] #['test']
test_data_loc = '/volatile/omar/Documents/projects/seizure... | null | kaggle/extract_baseline_features.py | extract_baseline_features.py | py | 5,701 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.path.dirname",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "mfanalysis.MFA",
"li... |
586105144 | """
This script checks if a submission xls contains all samples that exist in the submitted files
"""
# pylint: disable=C0103
from __future__ import print_function
import sys
import argparse
import utils
def get_sample_diff(file_path, file_xml, sample_xml):
submission_samples = utils.get_samples_from_xml(sample_x... | null | samples_checker/samples_checker/check_samples.py | check_samples.py | py | 2,537 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "utils.get_samples_from_xml",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "utils.get_files_from_xml",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "utils.get_sample_difference",
"line_number": 18,
"usage_type": "call"
},
{
"a... |
57009937 | import socket
import json
from datetime import datetime
# 2.2.0-A
serverPort = 5001
# Create a UDP socket
serverSocket = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
# Bind the socket to the port
serverSocket.bind(('', serverPort))
print("The server is ready to receive")
print("")
chunks = {}
hostedContents = {}... | null | Content_Discovery.py | Content_Discovery.py | py | 1,579 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "socket.socket",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "socket.AF_INET",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "socket.SOCK_DGRAM",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "datetime.dateti... |
66890506 | from selenium.webdriver.common.by import By
import logging
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)
class AlertListLocators(object):
CSS_ALERT_INV_CARD_LIST = [
".alert-chart.ng-scope._md.layout-align-center-center.layout-row",
"[ng-if='alertListCtrl.sel... | null | lib/locator/alert.py | alert.py | py | 1,743 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.basicConfig",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
"line_number": 5,
"usage_type": "call"
}
] |
632901223 | #!/usr/bin/env python
import glob
import os
import sys
import re
import subprocess
import unittest
from setuptools import find_packages, setup, Extension
from Cython.Build import cythonize
from setuptools.command.test import test as TestCommand
import numpy as np
from toast.mpirunner import MPITestRunner
def ge... | null | setup.py | setup.py | py | 4,330 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.path.isfile",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "re.match",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number"... |
542589853 | import MeCab
from gensim import models
def _split_to_words(text, to_stem=False):
"""
入力: 'すべて自分のほうへ'
出力: tuple(['すべて', '自分', 'の', 'ほう', 'へ'])
"""
tagger = MeCab.Tagger('mecabrc') # 別のTaggerを使ってもいい
mecab_result = tagger.parse(text)
info_of_words = mecab_result.split('\n')
words = []
... | null | lib/utils.py | utils.py | py | 2,687 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "MeCab.Tagger",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "gensim.models.doc2vec.LabeledSentence",
"line_number": 90,
"usage_type": "call"
},
{
"api_name": "gensim.models.doc2vec",
"line_number": 90,
"usage_type": "attribute"
},
{
"api... |
363854111 | from setuptools import setup
from setuptools import find_packages
with open("README.md", "r") as fh:
long_description = fh.read()
setup(
name="bmtool",
version="0.2.3",
author="Tyler Banks",
author_email="tbanks@mail.missouri.edu",
description="BMTools",
long_description=long_description,
... | null | setup.py | setup.py | py | 1,356 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "setuptools.setup",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "setuptools.find_packages",
"line_number": 41,
"usage_type": "call"
}
] |
236584756 | """
Techable Object Recognizer
- consists of two deep learning models
- 1) object localizer
- 2) object classifier
written by Kyungjun Lee
"""
from TOR_localizer import Localizer
from TOR_classifier import Classifier
# retrain function
from retrain import retrain_model
import cv2
"""
Recognize class
- recognizes a... | null | TOR.py | TOR.py | py | 3,747 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "TOR_localizer.Localizer",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "TOR_classifier.Classifier",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "TOR_localizer.Localizer",
"line_number": 67,
"usage_type": "call"
},
{
"api_nam... |
283383753 | from django.db import models, migrations
import mayan.apps.common.validators
class Migration(migrations.Migration):
dependencies = [
('converter', '0006_auto_20150708_0120'),
]
operations = [
migrations.AlterField(
model_name='transformation',
name='arguments',
... | null | mayan/apps/converter/migrations/0007_auto_20150711_0656.py | 0007_auto_20150711_0656.py | py | 683 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.db.migrations.Migration",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "django.db.migrations",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "django.db.migrations.AlterField",
"line_number": 12,
"usage_type": "call"
},
{... |
194364775 | from django.core.exceptions import ObjectDoesNotExist
from home.util_base import BaseUtil
from project.models import ProjectFile
from consult.models import ConsultFile
from home.forms.file_forms import NewProjectFileForm, EditProjectFileForm
from home.forms.file_forms import NewConsultFileForm, EditConsultFileForm
... | null | home/shared_utils/util_files.py | util_files.py | py | 4,331 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "home.util_base.BaseUtil",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "home.forms.file_forms.NewProjectFileForm",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "home.forms.file_forms.NewConsultFileForm",
"line_number": 46,
"usage_typ... |
95308815 | import logging
import json
import operator
from jinja2 import PackageLoader, Environment
import _pysha3 as sha3
import hashlib
log = logging.getLogger(__name__)
class Issue:
def __init__(
self,
contract,
function_name,
address,
swc_id,
title,
bytecode,
... | null | mythril/analysis/report.py | report.py | py | 4,037 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.getLogger",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "_pysha3.keccak_256",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "jinja2.Environment",
"line_number": 85,
"usage_type": "call"
},
{
"api_name": "jinja2.Package... |
177583635 | #!/usr/bin/env python3
# coding: utf-8
"""
此脚本用于从s3下载服务包，
入参1：-s <服务名>
入参2：-p <下载包的存储路径，其中包名需要跟原始包名一致（去掉包名中的'-dist'）>
"""
import boto3
import argparse
import glob
import os
bucket = 'xxxxxxx'
aws_access_key_id='xxxxxxxxx'
aws_secret_access_key='xxxxxxxxxxxxxxxxxx'
def getArg():
argparser = argparse.ArgumentParse... | null | myansible/pb_data/project/roles/rcx-im/files/scripts/download_from_s3.py | download_from_s3.py | py | 1,515 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "boto3.Session",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "os.path",
"lin... |
576873188 | #!/usr/bin/python3
# encoding: utf-8
# @Time :17-09-20 下午5:14
# @Author : xiaorui
# @File : xiami_music.py
# @Software: PyCharm
import os
import time
from urllib.parse import quote
import requests
from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui i... | null | xiami_music.py | xiami_music.py | py | 2,745 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "selenium.webdriver.support.ui.WebDriverWait",
"line_number": 36,
"usage_type": "call"
},
... |
568198620 | from PyQt5 import QtCore
from PyQt5 import QtNetwork
import logging
import struct
from enum import Enum
from math import sin
import Adafruit_BBIO.ADC as ADC
import Adafruit_BBIO.PWM as PWM
import time
log = logging.getLogger("drc bbb")
AIN0 = "AIN0"
PMIN = 0.025
PMAX = 0.125
PRANGE = PMAX-PMIN
class state(Enum):
... | null | bbb/drc.py | drc.py | py | 4,439 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.getLogger",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "enum.Enum",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtCore.QObject",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "PyQt5.QtCore",
... |
351095013 | import streamlit as st
import pandas as pd
import numpy as np
import base64
import pickle
#streamlit
def main():
st.set_page_config(page_title = 'Simulador - Case Ifood',\
page_icon = 'logo_dh.jpeg',
layout='wide',
initial_sidebar_st... | null | deploy_streamlit_case_ifood.py | deploy_streamlit_case_ifood.py | py | 4,943 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "streamlit.set_page_config",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "streamlit.columns",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "streamlit.expander",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "stream... |
71307789 | from __future__ import print_function, division
import os, re, csv, math, codecs
import datetime
import argparse
from rep_reader import RepReader
from keras_spreadsheet_classifier import *
from tqdm import tqdm
import itertools
def _str_to_bool(s):
"""Convert string to bool (in argparse context)."""
if s.lowe... | null | 04_expt_type_classifiers/classify_spreadsheet.py | classify_spreadsheet.py | py | 3,754 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "datetime.datetime.now",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "... |
420293026 | import logging
mpl_logger = logging.getLogger('matplotlib')
mpl_logger.setLevel(logging.WARNING)
from ROOT import TF1,TMath,Double
from matplotlib import container
import rootpy
import defs
import re
import matplotlib
from rootpy.plotting import Canvas
from rootpy.plotting import Legend
from rootpy.plotting import Gr... | null | DrawFinalFits.py | DrawFinalFits.py | py | 17,492 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.getLogger",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "logging.WARNING",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "rootpy.plotting.Graph",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "rootpy.plo... |
523196829 | #:coding=utf8:
from django.conf.urls import patterns, url
from django.views.generic import RedirectView
from homepage.blog.feeds import (
LatestEnglishBlogEntries,
LatestJapaneseBlogEntries,
)
from homepage.redirects import redirect_to
urlpatterns = patterns(
'django.views.generic.simple',
# Old ta... | null | homepage/homepage/blog/urls.py | urls.py | py | 1,424 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.conf.urls.patterns",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "homepage.redirects.redirect_to",
"line_number": 17,
"usage_type": "argument"
},
{
... |
24431949 | from django.urls import path
from . import views
# URL mapování - seznam URL adres pro aplikaci bazar
urlpatterns = [
path('', views.index, name='index'),
path('list', views.BazarListView.as_view(), name='list'),
path('detail/<int:pk>/', views.BazarDetailView.as_view(), name='detail'),
path('zbozi/crea... | null | bazar/urls.py | urls.py | py | 552 | python | en | code | null | code-starcoder2 | 66 | [
{
"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",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
216464729 | from openpyxl import Workbook
from bs4 import BeautifulSoup
from selenium import webdriver
driver = webdriver.Chrome('chromedriver')
url = "https://mail.naver.com/#%7B%22fClass%22%3A%22list%22%2C%22oParameter%22%3A%7B%22page%22%3A1%2C%22sortField%22%3A1%2C%22sortType%22%3A0%2C%22folderSN%22%3A%22-1%22%2C%22type... | null | datasuzip.py | datasuzip.py | py | 1,347 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "openpyxl... |
415148760 | import sys, json, time, logging, logs.config.server_config_log, decorators, select
from config import *
from socket import *
from descriptors import *
from meta import *
from server_database import *
log = logging.getLogger('Server_log')
logger = decorators.Log(log)
#класс серверного сокета
class ServerSocket(socket)... | null | Block4/Homework4/server.py | server.py | py | 16,605 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.getLogger",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "decorators.Log",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_numb... |
575099132 | # -*- coding: utf-8 -*-
import numpy as np
import pandas as pd
import argparse
import pickle
import json
import pdb
import cv2
from os import listdir
from pathlib import Path
from sklearn.preprocessing import StandardScaler
from sklearn.model_selection import train_test_split
from widedeep.utils.data_util... | null | prepare_data_t1.py | prepare_data_t1.py | py | 7,186 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pandas.options",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "pandas.DataFrame",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "widedeep.utils.data_utils.label_encode",
"line_number": 75,
"usage_type": "call"
},
{
"... |
108673523 | import datetime
import threading
import schedule
from time import sleep
def Time_Get():
dt_now = datetime.datetime.now()
str_day = dt_now.strftime("%Y年%m月%d日")
str_time = dt_now.strftime("%H:%M:%S")
#print(str_day)
#print(str_day)
return str_day ,str_day
def Time_Get2():
#02 スケジュー... | null | TodayTime.py | TodayTime.py | py | 511 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "datetime.datetime.now",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "schedule.every",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "schedule.ru... |
217965365 | import numpy as np
import scipy.stats
import matplotlib.pyplot as plt
import seaborn as sns
rc={'lines.linewidth':2, 'axes.labelsize': 18, 'axes.titlesize':18}
sns.set(rc=rc)
def ecdf(data):
"""
Compute x, y values for an empirical distribution
"""
#data is a vector of values
x =np.sort(data)
... | null | Day_3/lesson23-24_ex3.py | lesson23-24_ex3.py | py | 880 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "seaborn.set",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.sort",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.loadtxt",
"line_number":... |
469879771 | # -*- coding:utf-8 -*-
from PIL import Image, ImageDraw, ImageFont
def draw_num(img,number):
draw = ImageDraw.Draw(img)
fontsize = int(min(img.size) / 5)
numFont = ImageFont.truetype(font = "C:\\Windows\\Fonts\\arial.ttf", size = fontsize)
draw.text((img.size[0] - fontsize, 0), number, fill = ... | null | the 0000th problem.py | the 0000th problem.py | py | 598 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "PIL.ImageDraw.Draw",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "PIL.ImageDraw",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "PIL.ImageFont.truetype",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "PIL.ImageFont",
... |
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