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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
111712553 | import requests
def down_image():
headers = {'user-agent': 'Mozilla/5.0 (Linux; Android 6.0; Nexus 5 Build/MRA58N) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.96 Mobile Safari/537.36'}
url = "hhttp://resource.ttplus.cn/publish/app/data/2017/05/11/54680/9f845bad-c400-4ec9-b12d-bb2c33d29271.jpg"
... | null | down_pic.py | down_pic.py | py | 533 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "requests.get",
"line_number": 6,
"usage_type": "call"
}
] |
296945042 | import asyncio
import aiohttp
from app import config
import sentry_sdk
import wand.exceptions as we
from fastapi import FastAPI, Header, Request
from fastapi.responses import JSONResponse
from fastapi.openapi.utils import get_openapi
from fastapi.openapi.docs import get_redoc_html, get_swagger_ui_html, get_swagger_ui_... | null | app/main.py | main.py | py | 5,796 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sentry_sdk.init",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "app.config.sentry",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "app.config",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "asyncio.get_event_l... |
66650744 | import webbrowser
from app import app, db
from flask import render_template, redirect, url_for
from app.models import Recipe, Ingredient, Step, Counter, GroceryList, SeasonalIngredients
from app import ask
from flask_ask import statement, question, session
########## FLASK ROUTES ##########
@app.route('/home/')
def ... | null | app/routes.py | routes.py | py | 14,297 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "flask.render_template",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "app.app.route",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "app.app",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "app.models.Recipe.query.a... |
543763265 | # -*- coding: utf-8 -*-
from odoo import api, models
import datetime
import logging
class report_planilla_pdf(models.AbstractModel):
_name = 'report.rrhh.planilla_pdf'
def buscar_partida_nominas(self,slip_ids):
cantidad_nominas_partida = 0
partidas = {}
for slip in slip_ids:
... | null | rrhh/wizard/planilla_pdf.py | planilla_pdf.py | py | 9,677 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "odoo.models.AbstractModel",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "odoo.models",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "logging.getLogger",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "logging.ge... |
218291714 | from requirements import *
import re
from collections import defaultdict
import time, functools
import utils
import mymethods
import team
from json import loads
from os import path
from datetime import date
from flask import session, g, url_for, redirect
import ast
#from flask_compress import Compress
#from flask_cache... | null | appInitial.py | appInitial.py | py | 144,024 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "time.time",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "flask.session.pop",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "flask.session",
"line_number": 43,
"usage_type": "name"
},
{
"api_name": "flask.session",
"line_n... |
25985671 | import serial
import time
def toByte(data_string, base):
""" Converts any type of data to a byte to be sent"""
intArray = int(data_string, base),
byteArray = bytes(intArray)
return byteArray
## Setting up serial connection
ser = serial.Serial('/dev/cu.usbmodem14101')
## Data to be sent
data = [1,2,3... | null | ArduinoConnectV1.py | ArduinoConnectV1.py | py | 713 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "serial.Serial",
"line_number": 12,
"usage_type": "call"
}
] |
151213535 | import os
import matplotlib
import numpy as np
from matplotlib import pyplot as plt
from skimage.filters import gaussian
from mpl_toolkits.axes_grid1 import make_axes_locatable
def minmax(x):
mnx = x.min()
mxx = x.max()
return ((x - mnx) / (mxx - mnx)) - 0.5
def renorm(x, pos, neg):
return (np.maxim... | null | utils/new_both_grad_plot_scratch.py | new_both_grad_plot_scratch.py | py | 5,778 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.maximum",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.minimum",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "mpl_toolkits.axes_grid1.make_axes_locatable",
"line_number": 28,
"usage_type": "call"
},
{
"api_name"... |
221973622 | import scrapy
from bs4 import BeautifulSoup
from JobsEasyScrape.modules.GetJobKeywords import JobKeywords
class HexawareSpider(scrapy.Spider):
name = 'hexaware'
start_urls = ['http://hexaware.com/careers/jobs/india/']
jobtitleList = []
kw = JobKeywords()
def parse(self, response):
bsObj ... | null | JobsEasyScrape/spiders/Hexaware.py | Hexaware.py | py | 853 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "scrapy.Spider",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "JobsEasyScrape.modules.GetJobKeywords.JobKeywords",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 14,
"usage_type": "call"
}
] |
31070714 | import os
import shutil
import tempfile
from contextlib import contextmanager
@contextmanager
def TemporaryDirectory():
"""The day we drop python 2.7 support we can use python 3 version of this"""
name = tempfile.mkdtemp()
try:
yield name
finally:
shutil.rmtree(name)
@contextmanager
... | null | tests/utils/file_utils.py | file_utils.py | py | 741 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "tempfile.mkdtemp",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "shutil.rmtree",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "contextlib.contextmanager",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "os.path.join"... |
640172592 | import sys
import pytz
import re
import os
from datetime import datetime
from lxml import etree
from lxml.etree import XMLSyntaxError
class SiteCountersParserOld:
"""3GPP version: 32.401 V1.0.0
LTE xml parser to extract limited set of site counters.
"""
def __init__(self, file_path):
self... | null | extraction/parser_utils.py | parser_utils.py | py | 7,528 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "lxml.etree.parse",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "lxml.etree",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "lxml.etree.XMLSyntaxError",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "sys.stderr.writ... |
425987848 | import random
from threading import Thread
import cv2
import logging
from utils import *
from queue import Queue
import os
import shutil
import numpy as np
def get_finished():
finished = []
with open("finish.txt", 'r') as f:
lines = f.readlines()
for line in lines:
finished.append... | null | download_video.py | download_video.py | py | 8,032 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.basicConfig",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "queue.Queue"... |
587837958 | #!/usr/local/bin/python3
import datetime
import os
import signal
import socket
import subprocess
import sys
import threading
import time
import traceback
from optparse import OptionParser
from http.server import BaseHTTPRequestHandler, HTTPServer
from queue import Empty, Queue
from socketserver import ThreadingMixIn
... | null | python/proc/process_monitor.py | process_monitor.py | py | 63,357 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.environ",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "socketserver.ThreadingMixIn",
"line_number": 118,
"usage_type": "name"
},
{
"api_name": "http.server.HTTPServer",
"line_number": 118,
"usage_type": "name"
},
{
"api_name": "... |
219578512 | import openpyxl as xl
wb = xl.load_workbook("test1.xlsx")
sheet1 = wb["Sheet1"]
# cell1 = sheet1["a1"]
cell1 = sheet1.cell(1, 2)
for row in range(2, sheet1.max_row + 1):
price = sheet1.cell(row, 3).value
correct_price = price * 0.9
sheet1.cell(row, 4).value = correct_price
wb.save("test2.xlsx")
| null | homework/app.py | app.py | py | 311 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "openpyxl.load_workbook",
"line_number": 4,
"usage_type": "call"
}
] |
127335079 | from __future__ import absolute_import
from datetime import datetime
from rest_framework.response import Response
from sentry.api.bases.organization import OrganizationPermission
from sentry.api.bases import OrganizationMemberEndpoint
from sentry.models import Project, ProjectStatus, OrganizationMemberTeam
from sen... | null | src/sentry/api/endpoints/organization_discover.py | organization_discover.py | py | 3,176 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sentry.api.bases.organization.OrganizationPermission",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "sentry.api.bases.OrganizationMemberEndpoint",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "sentry.utils.snuba.raw_query",
"line_number"... |
441041932 | from torchvision import transforms
from PIL import Image
import numpy as np
import torch
import json
import cv2
import sys
import os
import cut
model_path = "/program/wf/data/final_green/result/Exp_final/model/shufflenetv2b_wd2_332.pt"
#model_path = "/program/services/workers/utils/shufflenetv2b_wd2_302.pt"
#model_p... | null | TeaClassify/classify1.py | classify1.py | py | 7,481 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "torch.device",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "json.load",
... |
171530824 | import spacy
import PyPDF2
#load english library
nlp=spacy.load("en_core_web_sm")
#function to convert .pdf to .txt file.
def pdftotxt(pdfname):
pdfob=PyPDF2.PdfFileReader(pdfname)
with open('G:/Pycharm/Pycharm Projects/CTYHP/nltk_testing/karhis.txt','w') as f:
for i in range(pdfob.getNumPages()):
... | null | spacy.py | spacy.py | py | 765 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "spacy.load",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "PyPDF2.PdfFileReader",
"line_number": 9,
"usage_type": "call"
}
] |
130417378 | # coding: utf-8
import picamera
import time
import datetime
#picamera Object 생성
with picamera.PiCamera() as camera:
#해상도 선택
camera.resolution = (320, 240)
now = datetime.datetime.now()
file_name = '{}{}{}{}{}{}{}.jpg'.format(
now.year, now.month, now.day, now.hour, now.minute, now... | null | byebye/inClass/pythonJoon/camera/pica2.py | pica2.py | py | 411 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "picamera.PiCamera",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 15,
"usage_type": "attribute"
}
] |
285682457 | import numpy as np
from kivy.vector import Vector
import pygame
from time import sleep
pygame.init()
# Initialize the joysticks
pygame.joystick.init()
#........................................................................................
while True:
sleep(4)
# EVENT PROCESSING STEP
for event in pygame... | null | test.py | test.py | py | 2,066 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pygame.init",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "pygame.joystick.init",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pygame.joystick",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "time.sleep",
"... |
33867859 | from flask import send_file, safe_join;
from .packer import packFiles;
from . import configuration;
import json;
import requests;
from rhythmic import rhythmicDB;
def deployModel(data):
"""
var data =
{
"deploy_url": window.actual_deploy_destination,
"deploy_id": window.the_model_deploy_id... | null | src/rhml_client/rhml_client/UI/helpers/deploy.py | deploy.py | py | 2,987 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "json.dumps",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "packer.packFiles",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_number": 62,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_numb... |
174433718 | import sys
from loguru import logger
from os import system, getenv
from paramiko import SSHClient, AutoAddPolicy, RSAKey
from paramiko.auth_handler import AuthenticationException, SSHException
from scp import SCPClient, SCPException
logger.add(
sys.stderr,
format="{time} {level} {message}",
filter="client... | null | python_core/app/core/vm_machine_client.py | vm_machine_client.py | py | 4,316 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "loguru.logger.add",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "loguru.logger",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "sys.stderr",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "loguru.logger.add",
... |
379471749 | #!/usr/bin/python
import requests
import json
import argparse
import os
import logging
import ConfigParser
def OS_login(username, password, tenant,keystone):
#Logs into provided Openstack with provided auth details. Returns login object.
auth = {'auth': {"tenantName": tenant, "passwordCredentials": {"username... | null | kubernetes-ansible-metac/k8s-deployer/deploytools/pre-deploy/pre-deploy.py | pre-deploy.py | py | 15,216 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "requests.post",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "requests.exceptions",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "logging.log",
"... |
627187987 | from dateutil.parser import parse
from watson_jira_next.src import config
from jira import JIRA
from typing import Optional
jira: Optional[JIRA] = None
class JiraException(Exception):
pass
def invalidate():
global jira
jira = None
def connect():
global jira
if jira is None:
jiraconfig... | null | watson_jira_next/src/jira.py | jira.py | py | 2,518 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "typing.Optional",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "jira.JIRA",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "watson_jira_next.src.config.jira",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "watson_jira_... |
500088428 | from sklearn import svm
from sklearn import preprocessing
import sklearn.metrics
import matplotlib.pyplot as plt
import numpy as np
import scipy
from scipy.io import wavfile
from scipy.fftpack import dct
import matplotlib.pyplot as plt
import librosa
import math
import wave
from scipy.signal import lfilter, hamming
imp... | null | tradiational_sound/svm_plp.py | svm_plp.py | py | 3,159 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.newaxis",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot.imshow",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "m... |
396113044 | import asyncio
import aiomysql
import discord
import tabulate
import textwrap
import traceback
from discord.ext import commands, tasks
from discord.utils import get
from collections import defaultdict
from bot.bot import Bot
from bot.utils.checks import is_dev
from bot.utils.roles import get_add_remove, get_rolemap
fr... | null | bot/cogs/utility/database.py | database.py | py | 5,305 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "discord.ext.commands.Cog",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "discord.ext.commands",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "bot.bot.Bot",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "bot.bo... |
52035417 | from collections import defaultdict
def create_sets(dataset):
s = set()
for _set in dataset:
for item in _set:
s.add(item)
return map(lambda x:frozenset([x]), sorted(s))
def support(D, sets, min_support):
set_count = defaultdict(int)
for _set in D:
for s in sets:
... | null | apriori.py | apriori.py | py | 2,525 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "collections.defaultdict",
"line_number": 11,
"usage_type": "call"
}
] |
48838697 | #Script to connect to the coinranking.com ticker API and store the data
import requests
from pandas import DataFrame
import json,time
#Requestdata
coinrankingrequest = 'https://api.coinranking.com/v1/public/coins?base=USD&limit=100&sort=marketCap'
#Table Columns
coinrankingFactColumns = ['id','symbol','rank',... | null | API_connect_coinranking.py | API_connect_coinranking.py | py | 1,685 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "requests.get",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number... |
590073805 | # This code is imported from the following project: https://github.com/asmith26/wide_resnets_keras
import logging
import sys
import numpy as np
from keras.models import Model
from keras.layers import Input, Activation, add, Dense, Flatten, Dropout
from keras.layers.convolutional import Conv2D, MaxPooling2D
from keras.... | null | narrow_resnet.py | narrow_resnet.py | py | 4,506 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sys.setrecursionlimit",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.random.seed",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "keras.backe... |
172376089 | # -*- coding: utf-8 -*-
from mpl_toolkits.basemap import Basemap
import matplotlib.pyplot as plt
import numpy as np
fig = plt.figure(figsize=(6, 4))
# Custom adjust of the subplots
plt.subplots_adjust(left=0.05, right=0.95, top=0.90, bottom=0.05, wspace=0.15, hspace=0.05)
ax = plt.subplot(111)
# Let's create a ba... | null | pygis_src/ch09_basemap/sec3_with_data/test_9_3_1_anno.py | test_9_3_1_anno.py | py | 1,545 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.subplots_adjust",
"line_number": 12,
"usage_type": "call"
},
{
"api_... |
346178558 | from datetime import datetime
from flask import render_template, session, redirect, url_for, request, flash
from flask_login import login_user, logout_user, login_required, current_user,UserMixin
from . import main
from .. import db
from .. models import User, Role
from ..decorators import admin_required, permission_r... | null | app/main/views.py | views.py | py | 1,845 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "flask.render_template",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "models.User.query.filter_by",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "models.User.query",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name... |
64614484 | from django.contrib import admin
from .models import Actividades, Normativa
# Register your models here.
class ActividadesAdmin(admin.ModelAdmin):
readonly_fields = ['creado', 'actualizado']
list_display = ['normativa', 'actividad', 'creado', 'actualizado']
class NormativaAdmin(admin.ModelAdmin):
readonly... | null | webpersonal/actividades/admin.py | admin.py | py | 521 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.contrib.admin.ModelAdmin",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.admin",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "django.contrib.admin.ModelAdmin",
"line_number": 9,
"usage_type": "attribute"
}... |
367889204 | # 读excel文件
def readExcel(readExcelNameOrPath='', readSheets=None, contentType='json'):
import xlrd, os, json
# 参数说明
# readExcelNameOrPath 读取excel的文件名称（aa.xls）或文件的绝对路径（r"E:\test\aa.xls"），如果为文件名称，必须放到当前目录下
# readSheets 要读取的sheet表名称，如果不设置默认读取第一个表，如果设置为all代表读取全部的sheet的内容，注意：只有['all']这种情况下才读取全部sheet
#... | null | Test2.py | Test2.py | py | 4,153 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "xlrd.open_workbook",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 73,
"usage_type": "call"
}
] |
548222019 | """Plugin Template Module
"""
from abc import ABC, abstractmethod
import json
import logging
from os import environ, path as ospath
from signal import signal, SIGTERM
from time import asctime, gmtime, time
from brain import connect
from brain.binary import get as brain_binary_get
from brain.jobs import transition_succ... | null | src/controller_plugin.py | controller_plugin.py | py | 20,205 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "abc.ABC",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "logging.basicConfig",
"line_number": 102,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 108,
"usage_type": "call"
},
{
"api_name": "logging.StreamHandler... |
133732200 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from flask import Flask, Blueprint, request, session, redirect, url_for
from flask_oauthlib.client import OAuth
from logging import StreamHandler, DEBUG, INFO, Formatter
from collections import defaultdict
import base64
import datetime
import redis
import os
imp... | null | app/web/__init__.py | __init__.py | py | 4,165 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sys.setdefaultencoding",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "flask.Flask",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "os.path",
"lin... |
27603186 | from django.urls import path
from django.contrib.auth.views import LoginView, LogoutView
from .views import signup
app_name='accounts'
urlpatterns = [
path('',
LoginView.as_view(template_name='accounts/login.html'),
name='login'),
path('logout',
LogoutView.as_view(),
{'next_p... | null | meusLivrosLidos/accounts/urls.py | urls.py | py | 414 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.urls.path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.views.LoginView.as_view",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.views.LoginView",
"line_number": 9,
"usage_type": "name"
... |
429928022 | from acaisdk.utils.exceptions import *
from cliutils import *
from acaisdk.file import File
from acaisdk.fileset import FileSet
from acaisdk.project import Project
from acaisdk.utils.utils import debug
from acaisdk.job import Job
from acaisdk.meta import Meta, Condition
from prettyprint import PrettyPrint
import os
fro... | null | acaicli/commands.py | commands.py | py | 11,367 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "acaisdk.file.File.convert_to_file_mapping",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "acaisdk.file.File",
"line_number": 33,
"usage_type": "name"
},
{
"api_name": "acaisdk.file.File.upload",
"line_number": 44,
"usage_type": "call"
},
{
... |
14710538 |
#import numpy as np
import random as rd
import pandas as pd
import matplotlib.pyplot as plt
pd.set_option("display.max_rows", 15)
location = 'data/'
filename = 'nflqb2019.csv'
# This is a function to return general
# statistics about a data set
def f_calcStats(data):
v_stats = data.describe()
return v_st... | null | EDA/EDA_QB.py | EDA_QB.py | py | 3,009 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pandas.set_option",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.xlabel",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "matplotlib.... |
479589445 | import discord
from discord.ext import commands
from .utils import helper_functions as hf
from datetime import datetime, timedelta, timezone
import re
import os
from .utils.timeutil import format_interval
dir_path = os.path.dirname(os.path.dirname(os.path.realpath(__file__)))
SPAM_CHAN = 275879535977955330
class ... | null | cogs/stats.py | stats.py | py | 28,414 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.dirname",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "os.path.realpath",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "discord.ext.commands.Co... |
126807687 | from flask import Flask, render_template, jsonify, request, Blueprint
from flask.views import MethodView
import json
cars = [
{
'id': 1,
'model': 'Mersedes CLK 500',
'description': 'Color - white',
},
{
'id': 2,
'model': 'KIA Sorento',
'description': 'Color -... | null | Flask_3/api/__init__.py | __init__.py | py | 854 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "flask.views.MethodView",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "flask.render_template",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "fl... |
598777832 | from json import dump
from sys import argv, exit
from os.path import isfile, splitext
from ql.grammar import parse_file as parse_ql
from ql.visitors.symbol_checker import SymbolChecker
from ql.visitors.type_checker import TypeChecker
from ql.visitors.dependency_checker import DependencyChecker
from qls.grammar import ... | null | JurgenPeter/main.py | main.py | py | 2,416 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "json.dump",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.path.splitext",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "sys.exit",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "ql.visitors.symbol_checker.Symbol... |
525776720 | import sys
from distest import TestCollector
from distest import run_dtest_bot
from dotenv import load_dotenv
from time import sleep
import os
load_dotenv()
TESTER = os.getenv('Tester')
# The tests themselves
test_collector = TestCollector()
created_channel = None
@test_collector()
async def test_scrum(interface):... | null | src/tests/test_basic.py | test_basic.py | py | 1,026 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "dotenv.load_dotenv",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "distest.TestCollector",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"l... |
524387182 | from django.contrib import admin
from . models import (User, Counsellee, Counsellor, Counselling, Category)
# Register your models here.
class CounsellingAdmin(admin.ModelAdmin):
list_display = ['counsellor', 'counsellee', 'date_contacted']
list_filter = ['date_contacted']
class CounselleeAdmin(admin.ModelAdmin):
... | null | users/admin.py | admin.py | py | 752 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.contrib.admin.ModelAdmin",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.admin",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "django.contrib.admin.ModelAdmin",
"line_number": 9,
"usage_type": "attribute"
}... |
558821315 | import tweepy
import json
import pprint
from ipdb import set_trace
def main():
with open('details.txt') as details:
CONSUMER_KEY = details.readline().rstrip()
CONSUMER_SECRET = details.readline().rstrip()
ACCESS_TOKEN = details.readline().rstrip()
ACCESS_TOKEN_SECRET = details.read... | null | fetchTweets.py | fetchTweets.py | py | 782 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "tweepy.OAuthHandler",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "tweepy.API",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pprint.pprint",
"line_number": 25,
"usage_type": "call"
}
] |
440304983 | import typing
from ..controller import Controller
class Players:
__players_key: str
__player_message_key: str
def __init__(self, chat_id: int):
self.__players_key = f'players:{chat_id}'
self.__player_message_key = f'player:message:{chat_id}'
async def get_players(self) -> typing.Lis... | null | cache/models/players.py | players.py | py | 1,141 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "controller.Controller.lrange",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "controller.Controller",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "c... |
370401860 | """
Usage: python3 ./test_cases.py [raw]
Connects to the flask host and triggers cases. Outputs the response as either formatted(default) or raw data.
Set the following environment variables to match your test setup:
TEST_FLASK_HOST = example: http://127.0.0.1
TEST_FLASK_PORT = example: 5000
"""
import sys
import re... | null | dev-db/test_cases.py | test_cases.py | py | 1,292 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.getenv",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 29,
... |
21859352 | import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.patches as mpatches
import matplotlib.lines as mlines
from matplotlib.ticker import FuncFormatter
colors = ['#1f77b4', '#ff7f0e']
plt.style.use('seaborn-ticks')
fig, ax = plt.subplots(nrows=1, ncols=1, figsize=(15, 5.95))
# Creati... | null | scripts/compare_population_suicide.py | compare_population_suicide.py | py | 2,488 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "matplotlib.pyplot.style.use",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.style",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 9,
"usage_type": "name"
},
{
"api_name"... |
167035752 | """
Assuming that physical state is described by a dict()
"""
import copy
import deepdiff
class BeliefStateSimple:
def __init__(self, physical_state, prob=1):
if isinstance(physical_state, dict):
self.states = [
(physical_state, prob)
]
elif isinstance(physi... | null | bsagr/bs_interface.py | bs_interface.py | py | 6,455 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "deepdiff.DeepDiff",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "copy.deepcopy",
"line_number": 84,
"usage_type": "call"
},
{
"api_name": "copy.deepcopy",
"line_number": 85,
"usage_type": "call"
},
{
"api_name": "copy.deepcopy",
"li... |
485828098 | import sys
import warnings
try:
import multiprocessing
except:
pass
try:
from notsetuptools import setup
except ImportError:
# If you are using namespaces you should **not** allow installation of your package without
# using the ``notsetuptools`` package.
warnings.warn('You are missing the ``n... | null | setup.py | setup.py | py | 1,126 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "warnings.warn",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "setuptools.setup",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "setuptools.find_packages... |
10909169 | #!/usr/bin/env python
"""Script to load runinfo from the lims process: 'Illumina Sequencing (Illumina SBS) 4.0'
into the flowcell database in statusdb.
Maya Brandi, Science for Life Laboratory, Stockholm, Sweden.
"""
import sys
import os
import codecs
import logging
from optparse import OptionParser
from pprint impo... | null | scripts/flowcell_summary_uppload_LIMS.py | flowcell_summary_uppload_LIMS.py | py | 5,933 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "genologics.config.BASEURI",
"line_number": 21,
"usage_type": "argument"
},
{
"api_name": "genologics.config.USERNAME",
"line_number": 21,
"usage_type": "argument"
},
{
"api_name": "genologics.config.PASSWORD",
"line_number": 21,
"usage_type": "argument"
}... |
47800239 | import constant as c
from bs4 import BeautifulSoup
import sys
import os
def submission(session):
print("started submission...")
if os.path.exists(c.source_code_path):
f = open(c.source_code_path)
source_code = f.read()
f.close()
else:
print("source code is not exist")
... | null | submit.py | submit.py | py | 896 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.exists",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "constant.source_code_path",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "constant.s... |
570126126 | from flask import current_app, request, redirect, url_for, render_template, flash, abort
from flask.ext.login import login_user, login_required, logout_user
from itsdangerous import URLSafeSerializer
from app.extensions import lm
from app.user.models import User, UserProfile
from app.user.forms import RegisterUserForm
... | null | app/auth/views.py | views.py | py | 1,548 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "app.user.models.User.get_by_id",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "app.user.models.User",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "app.extensions.lm.user_loader",
"line_number": 11,
"usage_type": "attribute"
},
{... |
430798980 | """Tests for pypackages' guessing features."""
import os
import sys
import mock
import pytest
from collections import OrderedDict
from pypackage import guessing
from pypackage.config import Config
from pypackage.cmdline import get_options
def test_ignored_data_files(with_data):
"""Ensure that files in ignored ... | null | test/test_guessing.py | test_guessing.py | py | 2,763 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.mkdir",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": ... |
408779145 | __author__ = 'qherrero'
import sys
import resources_rc
from os import path
from PyQt4 import QtGui, QtCore, uic
from PyQt4.QtCore import Qt
from matplotlib.figure import Figure
from matplotlib.backends.backend_qt4agg import FigureCanvasQTAgg as FigureCanvas
from numpy import genfromtxt, where, copy, gradient, amin, a... | null | main.py | main.py | py | 7,367 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "PyQt4.QtCore.QCoreApplication.addLibraryPath",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "PyQt4.QtCore.QCoreApplication",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "PyQt4.QtCore",
"line_number": 14,
"usage_type": "name"
... |
31288155 | import argparse
import csv
import operator
import os
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
from sklearn import metrics
#########################################
# Python 3.7.9 #
# input = csv file #
# output = 'ROC.pdf' ... | null | python/src/Step2_ROC_Plot.py | Step2_ROC_Plot.py | py | 2,933 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.basename",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "os.path.exists",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_numb... |
592033730 | #coding:utf-8
import random, sys, time, pygame
from pygame.locals import *
import time
# 屏幕刷新率（在这里相当于贪吃蛇的速度）
FPS = 5
# 屏幕宽度
WINDOWWIDTH = 640
# 屏幕高度
WINDOWHEIGHT = 480
# 小方格的大小
CELLSIZE = 20
# 断言，屏幕的宽和高必须能被方块大小整除
assert WINDOWWIDTH % CELLSIZE == 0, "Window width must be a multiple of cell size."
assert WINDOWHEIGHT %... | null | python/snake/resources/test.py | test.py | py | 1,318 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pygame.init",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "pygame.time.Clock",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "pygame.time",
"line_number": 34,
"usage_type": "attribute"
},
{
"api_name": "pygame.display.set_mod... |
440630047 | # ***** BEGIN LICENSE BLOCK *****
# Version: MPL 1.1/GPL 2.0/LGPL 2.1
#
# The contents of this file are subject to the Mozilla Public License Version
# 1.1 (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.mozilla.org/MPL/
#
# Softwa... | null | test/utils.py | utils.py | py | 7,838 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "twisted.trial.unittest.TestCase",
"line_number": 58,
"usage_type": "attribute"
},
{
"api_name": "twisted.trial.unittest",
"line_number": 58,
"usage_type": "name"
},
{
"api_name": "twisted.internet.defer.DeferredList",
"line_number": 100,
"usage_type": "call... |
465650571 | from django.shortcuts import render, redirect
from .models import Reservation
from users.models import *
from django.contrib import messages
from restaurants.models import Restaurant
def home(request):
context = {
'reservations': Reservation.objects.all()
}
return render(request, 'reservation/home.... | null | main_project/reservation/views.py | views.py | py | 1,434 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "models.Reservation.objects.all",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "models.Reservation.objects",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "models.Reservation",
"line_number": 9,
"usage_type": "name"
},
{
"ap... |
333544285 | import sys
import base64
import struct
import binascii
def KSA(key):
keylength = len(key)
S = list(range(256))
j = 0
for i in range(256):
j = (j + S[i] + key[i % keylength]) % 256
S[i], S[j] = S[j], S[i] # swap
return S
def PRGA(S):
i = 0
j = 0
while True:
i ... | null | 2020/CJ2020/Crypto/Crypto Checksum/crypto_checksum.py | crypto_checksum.py | py | 1,368 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "struct.pack",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "binascii.crc32",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "base64.b64encode",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "base64.b64decode",
"l... |
430107770 | import discord, discord.ext, glob, os
from discord.ext import commands
client = discord.Client()
client = commands.Bot(command_prefix = '!')
@client.event
async def on_ready():
print(f"Logged in as {client.user}")
######################################################################
# Load commands (DONT TOUCH)
f... | null | bot/bot.py | bot.py | py | 851 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "discord.Client",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "discord.ext.commands.Bot",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "discord.ext.commands",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "glob.glob",... |
539923320 | # -*- coding: utf-8 -*-
# In order to properly run this script:
# 1) make sure to source it to the relevant virtual environment
# 2) open terminal and run : python utusu.py
import os, sys
# work-around for having the parent directory added to the search path of packages.
# to make `import mlx.pympt` to work, even ... | null | mlxdriver/mlx/main.py | main.py | py | 13,729 | python | en | code | null | code-starcoder2 | 76 | [
{
"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": 10,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number... |
489502002 | import RPi.GPIO as GPIO
import time
import datetime
import picamera
import subprocess
import dropbox
import os
# Setup PIR sensor
#-----------------
iPIN_PIR1 = 7
iPIN_PIR2 = 23
GPIO.setwarnings(False)
GPIO.setmode(GPIO.BOARD) # identify by pin numbers (as opposed to GPIO numbers)
GPIO.setup(iPIN_PIR1, GPIO.IN, ... | null | 04_pirCameraDropbox_simplified.py | 04_pirCameraDropbox_simplified.py | py | 2,838 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "RPi.GPIO.setwarnings",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "RPi.GPIO",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "RPi.GPIO.setmode",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "RPi.GPIO",
"line_n... |
72374951 | import utils
import os
import numpy as np
import matplotlib.pyplot as plt
def draw_plot(save_path):
# load log
train_log = utils.Logger(os.path.join(save_path,'train.log'))
test_log = utils.Logger(os.path.join(save_path, 'test.log'))
# read log
train_log = train_log.read()
test_log... | null | forgetting_events/plot_curves.py | plot_curves.py | py | 1,122 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "utils.Logger",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "utils.Logger",
"line_number":... |
293804185 | from keras.layers import Input, Dense, Conv1D, MaxPooling1D, UpSampling1D
from keras.models import Model
from keras import backend as K
from keras.utils import plot_model
from keras.callbacks import TensorBoard
from keras.callbacks import EarlyStopping
from keras.models import model_from_json
import json
import time
im... | null | PredictRaw.py | PredictRaw.py | py | 4,128 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.listdir",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "getopt.getopt",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 36,
"usage_type": "attribute"
},
{
"api_name": "getopt.GetoptError",
"line... |
592742461 | import platform
import time
from math import ceil
from threading import Lock
from threading import Thread
from kivy.app import App
from kivy.uix.button import Button
from kivy.uix.gridlayout import GridLayout
from kivy.uix.label import Label
from kivy.uix.progressbar import ProgressBar
from kivy.uix.textinput import T... | null | stack_pic.py | stack_pic.py | py | 12,934 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "kivy.app.App",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "platform.system",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "data_sender.DataSender",
"line_number": 70,
"usage_type": "call"
},
{
"api_name": "threading.Lock",
... |
125803562 | # 获取转发信息# -*-coding:utf-8 -*-
from multiprocessing import Process, Manager
from time import sleep, ctime
from get_cookie import get_session
from task.repost import get_all
from logger.log import other
if __name__ == '__main__':
# is_sleep用来防止启动模拟登录失败，也会睡眠2个小时
is_sleep = 1
while 1:
mgr = Manager()... | null | repost.py | repost.py | py | 998 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "multiprocessing.Manager",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "multiprocessing.Process",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "get_cookie.get_session",
"line_number": 16,
"usage_type": "name"
},
{
"api_name":... |
443015200 | #
# snapc.py
## utility to handle incremental merge backups retention
# By Itai Weisman, Solution Engineering team leader, INFINIDAT
# iweisman@infinidat.com +972-54-6755444
# Who | When | What
# ---------------------------------------------
# Itai Weisman | November 30 2018 | Genesis
# Itai Weism... | null | snapc2.py | snapc2.py | py | 6,720 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "arrow.now",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "prettytable.PrettyTable",... |
372303413 | import numpy as np
import matplotlib.pyplot as plt
from scipy import interp
from sklearn.metrics import roc_curve, auc
from ._private import convert
__all__ = [
'random_forest_feature_importance',
'roc_graph'
]
_ROC_PLOT_COLORS = ['b', 'g', 'r', 'c', 'm', 'y', 'k', 'darkorange']
def _display_roc_plot(xlim, ... | null | dython/model_utils.py | model_utils.py | py | 10,609 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.xlim",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "matpl... |
42513392 | import requests
from bs4 import BeautifulSoup
import json
import re
import sys
def clean_data(data):
regex=re.compile("\n{1,}(\s+)?")
new_data=re.sub(regex,"",data)
return new_data
# class Movie:
# def __init__(self,title,year,rating,user_reviews,rated,hours,genre,rdate,summary,cast):
# self.t... | null | compare_movies/review.py | review.py | py | 3,336 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "re.compile",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 38,
... |
250439213 | #!/usr/bin/env python
#coding:utf-8
"""
网络并发获取图片或者其他内容的一个线程池
"""
#多线程
import threading
from multiprocessing import Queue
from log import *
threading_log_file = 'THREAD ' + time.strftime("%Y-%m-%d",time.localtime())
#线程池
class Threading_pool(object):
#theading_queue = Queue(20)
#线程相关，最大线程数max_threading_size，队列满等... | null | threading_pool.py | threading_pool.py | py | 2,287 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "multiprocessing.Queue",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "threading.Thread",
"line_number": 64,
"usage_type": "attribute"
},
{
"api_name": "threading.Thread.__init__",
"line_number": 67,
"usage_type": "call"
},
{
"api_name": ... |
243696673 | from setuptools import setup, find_packages
from codecs import open
from os import path
here = path.abspath(path.dirname(__file__))
# Get the long description from the README file
with open(path.join(here, 'README.md'), encoding='utf-8') as f:
long_description = f.read()
setup(
name='doxybook',
version='... | null | setup.py | setup.py | py | 860 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.abspath",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "os.path.dirname",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "codecs.open",
"line_number":... |
261188824 | from traitlets import Integer, Unicode, Bool, List, validate, observe, TraitError
from ipywidgets import DOMWidget, register, Output
from IPython.core.display import Javascript, display
@register
class SentinelTable(DOMWidget):
_view_name = Unicode('SentinelTable').tag(sync=True)
_view_module = Unicode('senti... | null | Jupyter/UniversalDisplay/CustomWidgets/SentinelTable/SentinelTable.py | SentinelTable.py | py | 3,294 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "ipywidgets.DOMWidget",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "traitlets.Unicode",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "traitlets.Unicode",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "traitlets.Unico... |
179580367 | from sklearn import svm
from sklearn.neural_network import MLPClassifier
from sklearn import datasets
import numpy as np
from sklearn.model_selection import train_test_split
from sklearn.metrics import classification_report
from PIL import Image
from sklearn.decomposition import PCA
import time
train_data_num = 60000 ... | null | mlp.py | mlp.py | py | 1,841 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.fromfile",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.uint8",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "numpy.fromfile",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.uint8",
"lin... |
385933990 | import ConfigParser
import argparse
from common import singleton
@singleton
class MarketConfigEntity:
config_parser = None
def get_parser(self):
if not self.config_parser:
cmd_args_parser = argparse.ArgumentParser()
cmd_args_parser.add_argument('--config', dest = 'config', requ... | null | common/market_config.py | market_config.py | py | 769 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "ConfigParser.ConfigParser",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "common.singleton",
"line_number": 5,
"usage_type": "name"
}
] |
298101157 | import cv2
import numpy as np
from matplotlib import pyplot as plt
import os
from six import string_types
class cascadeFace():
def __init__(self):
self.fileCasFace = '../haarcascades\\haarcascade_frontalface_default.xml'
self.fileCasEye = '../haarcascades\\haarcascade_eye_tree_eyeglasses.xml... | null | src/detection/cascadeFace.py | cascadeFace.py | py | 4,361 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "cv2.CascadeClassifier",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "cv2.CascadeClassifier",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "six.string_ty... |
419000559 | import arxiv
import maya
import time
"""
Notes
- This uses the classic Arxiv API which does not appear to support date range queries
- Why is that? Reach out to make sure that's true.
- According to blog posts they are revamping both search and the API right now
- https://blogs.cornell.edu/arx... | null | query.py | query.py | py | 3,421 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "arxiv.query",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "maya.when",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 61,
"usage_type": "call"
},
{
"api_name": "arxiv.query",
"line_number": 64,... |
93950238 | #!/usr/bin/python3
import re
import datetime
from rtm.core.Helpers import simple_normalize_input, inline_entry_properties
def parse_eri_2g(file, dict_counters):
date_time = ''
cell_name = ''
data = []
index = 0
counters_index = {}
with open(file, "r") as file:
for line in file:
line = simple_normalize_in... | null | scripts/rtm_old/rtm/parse/Ericsson2g.py | Ericsson2g.py | py | 1,655 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "rtm.core.Helpers.simple_normalize_input",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.strptime",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 38,
"usage_type": "attribute"
},
... |
289434178 | """
https://leetcode.com/problems/optimize-water-distribution-in-a-village/discuss/472033/Python-Solution-Easy-to-Understand
"""
import collections
import heapq
class Solution:
def minCostToSupplyWater(self, n: int, wells, pipes) -> int:
graph = collections.defaultdict(list)
for u, v, cost in pipe... | null | LeetcodeNew/python2/LC_1168.py | LC_1168.py | py | 1,736 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "collections.defaultdict",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "heapq.heappop",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "heapq.heappush",
"line_number": 30,
"usage_type": "call"
}
] |
400162691 | import matplotlib.pyplot as plt
import random as rd
import numpy as np
plt.ion()
t_list, m_list = [], []
#condição inicial
def ic_04(i):
r = rd.uniform(0.0,1.0)
P = 0.4
if (i[...] == -1) and P > r:
i[...] = 1
#criando o sistema
def build_system(L):
global time
M = [[0 for x in r... | null | p1/votante/voter_singlerun.py | voter_singlerun.py | py | 2,151 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "matplotlib.pyplot.ion",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "random.uniform",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "random.randint",... |
439906154 | from typing import List
class MergeIntervals:
def merge(self, intervals: List[List[int]]) -> List[List[int]]:
intervals.sort(key=lambda each: each[0])
mstart, mend=intervals[0]
result=[]
for i, interval in enumerate(intervals):
cstart, cend=interval
if men... | null | lastmile/leetcode/350/MergeIntervals.py | MergeIntervals.py | py | 753 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "typing.List",
"line_number": 5,
"usage_type": "name"
}
] |
199021200 | import pandas as pd
from sklearn.cluster import KMeans
from sklearn import metrics
class Kmeans_Auto:
def __init__(self, path_foot_print_detail, save_path_foot_print_detail):
self.path_foot_print_detail = path_foot_print_detail
self.save_path_foot_print_detail = save_path_foot_print_detail
# d... | null | 聚类K_MEANS_DBSCAN/自动化聚类/k_means_auto_screen_time.py | k_means_auto_screen_time.py | py | 4,498 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pandas.read_excel",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "sklearn.cluster.KMeans",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "sklearn.met... |
441748115 | from abc import ABC
from copy import deepcopy
from enum import Enum
from typing import Callable, List, Union, Tuple
import numpy as np
from PartSegCore.algorithm_describe_base import ROIExtractionProfile, AlgorithmProperty, AlgorithmDescribeBase
from PartSegCore.channel_class import Channel
from PartSegCore.class_gen... | null | src/PartSeg_cellpose/cellpose_plugin.py | cellpose_plugin.py | py | 5,115 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "enum.Enum",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "PartSegCore.class_generator.enum_register.register_class",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "PartSegCore.class_generator.enum_register",
"line_number": 26,
"usage_... |
64360363 | #!usr/bin/env python
'''
#-*- coding:utf-8 -*-
@Author HardyYao
@Time 2017/10/2 7:30
'''
import requests
import xlwt
import time
import random
from bs4 import BeautifulSoup
from urllib.error import HTTPError, URLError
from conn import headers
class getZhengZhouFutures(object):
def get_data(self, place_zhengzhou, ... | null | project/004 国内三大交易所数据爬虫程序/scraw_zhengzhou_data.py | scraw_zhengzhou_data.py | py | 6,086 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "requests.get",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "conn.headers",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "urllib.error.HTTPError",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "urllib.error.URLErro... |
46158443 | import math
import pdb
import sys
import os.path
import numpy as np
import torch
import torch.nn as nn
import torchvision.transforms as transforms
from torch.autograd import Variable
import torchvision.models.vgg as models
import json
from PIL import Image
import pickle
from numpy.random import RandomState
class Lea... | null | leave_out_grasps.py | leave_out_grasps.py | py | 4,879 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.random.RandomState",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "pickle.load",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "pickle.load",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "pickle.load",
"l... |
78549010 | import re
from datetime import datetime
from typing import Dict, List
import requests
from apps.logger.models import Log
from django.core.management.base import BaseCommand
from tqdm import tqdm
class Command(BaseCommand):
"""Download command"""
help = 'Download apache logs from external url'
__pattern... | null | apps/logger/management/commands/download.py | download.py | py | 3,323 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.core.management.base.BaseCommand",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "re.compile",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "apps.logger.models.Log.objects.all",
"line_number": 38,
"usage_type": "call"
},
{
... |
608745561 | import pymysql
import hashlib
import re
class Database_conductor():
def __init__(self, is_super_user):
if is_super_user:
pass
self.database = 'rowdata'
if is_super_user:
self.connector = pymysql.connect(user='super_user',
... | null | Grapher/Database_conductor.py | Database_conductor.py | py | 8,831 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pymysql.connect",
"line_number": 12,
"usage_type": "call"
}
] |
156630018 | #
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
#
from rlstructures.logger import Logger, TFLogger
from rlstructures import DictTensor, TemporalDictTensor
from rlstructures import logging... | null | tutorial/tutorial_reinforce/reinforce.py | reinforce.py | py | 7,554 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "rlstructures.logger.TFLogger",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "copy.deepcopy",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "rlstructures.batchers.EpisodeBatcher",
"line_number": 47,
"usage_type": "call"
},
{
"a... |
183787552 | # -*- coding: utf-8 -*-
import logging
import re
import threading
from zigbee_hub.telegesis.prompt_parsers import PROMPT_PARSERS
class IncomingMessage(object):
@staticmethod
def is_incoming_message(message):
"""
:param message: the message
:type message: unicode
"""
re... | null | zigbee_hub/serial_reader.py | serial_reader.py | py | 3,155 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "threading.Thread",
"line_number": 62,
"usage_type": "attribute"
},
{
"api_name": "re.compile",
"line_number": 77,
"usage_type": "call"
},
{
"api_name": "zigbee_hub.telegesis.prompt_parsers.PROMPT_PARSERS.get",
"line_number": 104,
"usage_type": "call"
},
... |
212608281 | import numpy as np
import matplotlib
import matplotlib.pyplot as plt
def calculateGradient(m, x, y, w0, w1, w2, w3, w4, w5):
dw_0 = 1.0 / m * sum([(2 * (w0 - y[i])) for i in range(m)])
dw_1 = 1.0 / m * sum([(2 * ((w0 + w1 * x[i]) - y[i]) * x[i]) for i in range(m)])
dw_2 = 1.0 / m * sum([(2 * (... | null | HW1/assignment-1.py | assignment-1.py | py | 5,617 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.power",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.power",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.power",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.power",
"line_number": 11... |
334507452 | #
# HTML code generator
#
import datetime
import constants
import structures
import code_gen.templates.html as html_templates
from .shared import indent
class HtmlGenerator():
def __init__(self, module):
# HTML overview list
html_overview = indent(4) + '<table id="overview">\n'
... | null | code_gen/html.py | html.py | py | 3,355 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "shared.indent",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "shared.indent",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "shared.indent",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
... |
589369281 | """
Question: https://leetcode.com/problems/longest-line-of-consecutive-one-in-matrix/
Given a 01 matrix M, find the longest line of consecutive one in the matrix.
The line could be horizontal, vertical, diagonal or anti-diagonal.
Example:
Input:
[[0,1,1,0],
[0,1,1,0],
[0,0,0,1]]
Output: 3
Hint: The number of elemen... | null | python/coding_challenges/leet_code/longest_line_of_consecutive_one_in_matrix.py | longest_line_of_consecutive_one_in_matrix.py | py | 1,730 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "typing.List",
"line_number": 18,
"usage_type": "name"
}
] |
88414543 | import cv2
import numpy as np
img = cv2.imread(r'images\lotus.jpg', 0)
out = []
for k in range(0, 7):
# create an image for each k bit plane
plane = np.full((img.shape[0], img.shape[1]), 2 ** k, np.uint8)
# execute bitwise and operation
res = cv2.bitwise_and(plane, img)
# multip... | null | source/bitplane.py | bitplane.py | py | 642 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "cv2.imread",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "numpy.full",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.uint8",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "cv2.bitwise_and",
"line_numbe... |
191600708 | from rllab.sampler.utils import rollout
import argparse
import numpy as np
import joblib
import uuid
import tensorflow as tf
from billiards_2D import Billiards_2D
import json
import matplotlib.pyplot as plt
import os
import pickle
import IPython
import imageio
filename = str(uuid.uuid4())
root_dir = "Eval_Sequences/"
m... | null | Experiment_4/Billiards/sim_policy.py | sim_policy.py | py | 3,518 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "uuid.uuid4",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "os.makedirs",
"line_number... |
315418929 | import os
import pandas
import base64
from flask import Blueprint, redirect, url_for, render_template, request, session, jsonify, json
from flask_security import login_required, current_user
from attrdict import AttrDict
from ..connection import *
from ..utils import empty_hydra_timeseries
from OpenAgua import app... | null | OpenAgua/data_editor_advanced/views.py | views.py | py | 7,548 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "flask.session",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "flask.session",
"line_number": 34,
"usage_type": "name"
},
{
"api_name": "flask.session",
"line_number": 61,
"usage_type": "name"
},
{
"api_name": "flask.session",
"line_n... |
478866753 | from setuptools import find_packages, setup
with open("README.md", "r") as fh:
long_description = fh.read()
install_requires = [
"astunparse",
"vyper @ git+https://github.com/vyperlang/vyper.git@8c925299833f6051fcf50ec3cdeef59c45346e45",
]
dev_requires = ["ipdb", "ipython"]
docs_requires = ["Sphinx"]
tes... | null | setup.py | setup.py | py | 1,481 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "setuptools.setup",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "setuptools.find_packages",
"line_number": 47,
"usage_type": "call"
}
] |
226162964 | from Tkinter import *
import tkMessageBox
from datetime import datetime
import struct
from socket import *
import socket
import logging
from tkFileDialog import *
import csv
#port scanner class
class ScanPort :
startAddress = "" #start IP address
endAddress = "" #end IP address
startPort = None #start por... | null | Information-Security/TermProject/portScanner.py | portScanner.py | py | 6,293 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "tkMessageBox.showerror",
"line_number": 77,
"usage_type": "call"
},
{
"api_name": "tkMessageBox.showerror",
"line_number": 96,
"usage_type": "call"
},
{
"api_name": "csv.writer",
"line_number": 103,
"usage_type": "call"
},
{
"api_name": "csv.QUOTE_A... |
145404536 | # uncompyle6 version 3.7.4
# Python bytecode 3.7 (3394)
# Decompiled from: Python 3.6.9 (default, Apr 18 2020, 01:56:04)
# [GCC 8.4.0]
# Embedded file name: /Users/jennyq/.pyenv/versions/venv_t12/lib/python3.7/site-packages/tendenci/apps/base/template_tags.py
# Compiled at: 2020-02-26 14:47:57
# Size of source mod 2**... | null | pycfiles/tendenci-12.0.6-py3-none-any/template_tags.cpython-37.py | template_tags.cpython-37.py | py | 7,950 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.template.Node",
"line_number": 38,
"usage_type": "name"
},
{
"api_name": "django.utils.translation",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "django.db.models.Model",
"line_number": 46,
"usage_type": "attribute"
},
{
"api_nam... |
531027132 | from sqlalchemy import create_engine, Column, Integer, String
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import sessionmaker
engine = create_engine('sqlite:///sample_db.sqlite3', echo=True)
Base = declarative_base()
class User(Base):
__tablename__ = 'users'
id = Column(Inte... | null | sample-Flask-SQLAlchemy/main.py | main.py | py | 655 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sqlalchemy.create_engine",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.ext.declarative.declarative_base",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 13,
"usage_type": "call"
},
{
... |
414848325 | '''
Virtual WhiteBoard by Rishikesh
github : https://github.com/Rishikesh0005
linkedin: www.linkedin.com/in/rishikesh-n-27b927101
Full Stack Developer
'''
import cv2
import numpy as np
Width = 1080 #Set Width of the frame
Height = 1080 ... | null | WhiteBoard.py | WhiteBoard.py | py | 3,086 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "cv2.VideoCapture",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2HSV",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "numpy.array",
... |
38948473 | '''
BEGIN GPL LICENSE BLOCK
This program is free software; you can redistribute it and/or
modify it under the terms of the GNU General Public License
as published by the Free Software Foundation; either version 2
of the License, or (at your option) any later version.
This program is distributed in the hope that it wi... | null | __init__.py | __init__.py | py | 4,001 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "importlib.reload",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "VTX.TCAutoVTX",
"line_number": 62,
"usage_type": "name"
},
{
"api_name": "V2X.TCVert2Intersection",
"line_number": 63,
"usage_type": "name"
},
{
"api_name": "XALL.TCInterse... |
133922338 | # __author: Igarashi
# date: 2018/5/6
import pika
credentials = pika.PlainCredentials("fuuka", "123456")
connection = pika.BlockingConnection(pika.ConnectionParameters("192.168.80.133", credentials=credentials))
channel = connection.channel()
channel.queue_declare("test")
def callback(ch, method, properties, ... | null | PythonTest/pytest/test2.py | test2.py | py | 465 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pika.PlainCredentials",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pika.BlockingConnection",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pika.ConnectionParameters",
"line_number": 9,
"usage_type": "call"
}
] |
449345818 | from requests_html import HTMLSession
import requests
import os
session = HTMLSession()
import json
import re
import io
def getDatalist(date, url, route, filename, name):
today = date
href = url + route
r = session.get(href)
sendData = []
# 只爬当天
items_a = r.html.find('ul.panel-list > li > a')... | null | function/common.py | common.py | py | 2,011 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "requests_html.HTMLSession",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "re.findall",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "io.open",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_num... |
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