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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
214141194 |
from django.conf.urls import url
from .views import (ProductListView,volunteer,home,contact,projects,Knitting,
SupplierFormView, ContactSupplier,training,trainingdetail)
urlpatterns = [
url(r'^$',home, name='home'),
url(r'^market/$',ProductListView.as_view(), name='market'),
url(r'^volunteer/$',volunt... | null | home/urls.py | urls.py | py | 770 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.conf.urls.url",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "views.home",
"line_number": 9,
"usage_type": "argument"
},
{
"api_name": "django.conf.urls.url",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "views.ProductL... |
444297017 | #Librerias importadas para este programa
import pygame
import math
#Dimensiones de la pantalla
ANCHO = 600
ALTO = 600
#Colores en RGB
BLANCO = (255,255,255)
NEGRO = (0,0,0)
ROJO = (255,0,0)
VERDE = (59,179,34)
AZUL = (0,191,255)
ROSA = (255,20,147)
MAGENTA = (139,0,139)
LIMON = (255,250,205)
NARANJA = (255,128,0)
... | null | CodigoEspirografo.py | CodigoEspirografo.py | py | 3,533 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pygame.init",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_mode",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "pygame.time.C... |
383840291 | import pytest
from PyQt5.QtWidgets import QMainWindow
import mfixgui.graphic_tabs
@pytest.fixture
def mfix_gui(qtbot, mocker):
""" define MfixGui fixture """
qmain = QMainWindow()
mfixgui_fixture = mfixgui.gui.MfixGui(qmain)
mocker.patch.object(mfixgui_fixture, 'confirm_close', return_value=True)
... | null | mfix-18.1.5/mfixgui/tests/test_graphic_tabs.py | test_graphic_tabs.py | py | 2,299 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "PyQt5.QtWidgets.QMainWindow",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "mfixgui.graphic_tabs.gui.MfixGui",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "mfixgui.graphic_tabs.gui",
"line_number": 11,
"usage_type": "attribute"
},... |
54890788 | import uiautomator2 as u2
import time
import os
import logging
from redis import Redis
redis_cli = Redis()
logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(name)s - %(levelname)s - %(message)s')
logger = logging.getLogger('Soul Monitor')
class Greet:
def __init__(self):
"""
初始化鏈... | null | auto_mobile/soul_robot/greet.py | greet.py | py | 2,719 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "redis.Redis",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "logging.basicConfig",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
... |
194975027 | import matplotlib.pyplot as plt
import numpy as np
import torch
from torch.autograd import Variable
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
import torch.utils.data
import time
import math
import sys
sample_num = 10000
origin_x = np.linspace(0, 1, sample_num)
origin_y = (np.sin... | null | hw1/codes/observe_gradient_norm_during_training/train.py | train.py | py | 2,519 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.linspace",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.sin",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.pi",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "torch.FloatTensor",
"line_... |
651874122 | import logging
import copy
import time
import pathos
import numpy as np
from beluga.utils.logging import logger, make_a_splash
from beluga.data_classes.trajectory import Trajectory
from beluga.utils import save
from beluga.data_classes.problem_components import getattr_from_list
from beluga.transforms.problem_function... | null | beluga/beluga.py | beluga.py | py | 4,758 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "beluga.utils.logging.logger.level",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "beluga.utils.logging.logger",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "logging.DEBUG",
"line_number": 23,
"usage_type": "attribute"
},
{
... |
336389022 | from typing import Tuple, Optional, Callable
import logging as log
import threading
import time
from abc import ABC
from controllerdata import ControllerData, VariableAccess
from networkmanager import NetworkManager
from controllererror import ControllerError
class Controller(ABC):
""" Controller is an abstract b... | null | src/controller.py | controller.py | py | 6,350 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "abc.ABC",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "networkmanager.NetworkManager",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "logging.info",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "threading.Thread",... |
561908725 | # coding: utf-8
"""
Copyright 2016 SmartBear Software
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 applica... | null | isi_sdk/models/fsa_settings_settings.py | fsa_settings_settings.py | py | 8,316 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "six.iteritems",
"line_number": 235,
"usage_type": "call"
},
{
"api_name": "pprint.pformat",
"line_number": 259,
"usage_type": "call"
}
] |
79539342 | from exchangelib import DELEGATE, IMPERSONATION, Account, Credentials, ServiceAccount, \
EWSDateTime, EWSTimeZone, Configuration, NTLM, CalendarItem, Message, \
Mailbox, Attendee, Q, ExtendedProperty, FileAttachment, ItemAttachment, \
HTMLBody, Build, Version
def send_msg(sub,bdy):
credentials = Credentials(... | null | send_mail.py | send_mail.py | py | 1,651 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "exchangelib.Credentials",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "exchangelib.Configuration",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "exchangelib.Account",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "... |
184147847 | import pytest
import tensorflow as tf
import numpy as np
from tfs.models import LeNet
from tfs.dataset.predefined import Mnist
import tfs.g
@pytest.fixture
def data():
mnist=Mnist().to_one_hot()
return mnist
@pytest.fixture
def net():
n = LeNet()
n.build()
return n
class TestOptimizer:
def test_fit(self... | null | tests/core/optimizer/optimizer_test.py | optimizer_test.py | py | 512 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "tfs.dataset.predefined.Mnist",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pytest.fixture",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "tfs.models.LeNet",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pyte... |
469015746 |
from flask.views import MethodView
from flask import request, jsonify
from sqlalchemy.orm import sessionmaker
from sqlalchemy import create_engine
from Services.ItemService import ItemService
from init import InitApp
class Item(MethodView):
def __init__(self):
self.engine = create_engine(InitApp.db_uri... | null | Views/Item.py | Item.py | py | 1,512 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "flask.views.MethodView",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.create_engine",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "init.InitApp.db_uri",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "i... |
515842614 | import json
import requests
import numpy as np
from PIL import Image
from io import BytesIO
import onnxruntime as rt
from torchvision import transforms
# azureml imports
from azureml.core.model import Model
def init():
global session, transform, classes, input_name
try:
model_path = Model.get_model_p... | null | score.py | score.py | py | 1,500 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "azureml.core.model.Model.get_model_path",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "azureml.core.model.Model",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "onnxruntime.InferenceSession",
"line_number": 21,
"usage_type": "call"
... |
144896703 | #coding=utf-8
#!/usr/bin/python
import os
import sys
import json
import time
import urllib2
import re
import copy
from bs4 import BeautifulSoup
from selenium import webdriver
from datetime import datetime
from sc_utils import ScrapperUtils as SC
class BuzzfeedScrapperUrllib:
reaction_names_temp... | null | facebook_fanpage_posts/buzzfeed/buzzfeed_scrapper_urllib.py | buzzfeed_scrapper_urllib.py | py | 3,140 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sc_utils.ScrapperUtils.get_tag",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "sc_utils.ScrapperUtils",
"line_number": 60,
"usage_type": "name"
},
{
"api_name": "sc_utils.ScrapperUtils.get_tag",
"line_number": 61,
"usage_type": "call"
},
{
... |
160467659 | import glob
import time
import requests
from lxml import etree
import hashlib
def get_webloc_file_list():
webloc_file_list = glob.glob('people_all/*.webloc')
return webloc_file_list
def get_webloc_str(path):
with open(path, 'r') as file:
row_list = file.readlines()
webloc_str = ''.join(row_list)
return webloc... | null | news/get_people_news.py | get_people_news.py | py | 3,007 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "glob.glob",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "lxml.etree.HTML",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "lxml.etree",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "glob.glob",
"line_number": 39... |
573045215 | import sys
import boto3
class colors:
"""
Python program to print
colored text and background
Colors class:reset all colors with colors.reset; two
sub classes fg for foreground
and bg for background; use as colors.subclass.colorname.
i.e. colors.fg.red or colors.bg.greenalso, the ge... | null | ec2-control.py | ec2-control.py | py | 2,558 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "boto3.client",
"line_number": 57,
"usage_type": "call"
}
] |
9878968 | import cv2
import numpy as np
img=cv2.imread('Image.JPG',0)
rows,cols=img.shape
M = cv2.getRotationMatrix2D((cols/2,rows/2),45,1) #задаем поворот изображение(последний параметр zoom)
dst = cv2.warpAffine(img,M,(cols,rows)) # производим преобразование
cv2.imshow('origin',img)
cv2.imshow('Affine transfor... | null | OPENCV/Обработка изображения/Аффинные преобразования/Script-Rotation.py | Script-Rotation.py | py | 440 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "cv2.imread",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "cv2.getRotationMatrix2D",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "cv2.warpAffine",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "cv2.imshow",
"line... |
16182261 | """
SlipStream Client
=====
Copyright (C) 2013 SixSq Sarl (sixsq.com)
=====
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 ... | null | client/src/main/python/slipstream/cloudconnectors/cloudstack/CloudStackAdvancedZoneClientCloud.py | CloudStackAdvancedZoneClientCloud.py | py | 4,393 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "slipstream.cloudconnectors.cloudstack.CloudStackClientCloud.CloudStackClientCloud",
"line_number": 35,
"usage_type": "name"
},
{
"api_name": "libcloud.security.security",
"line_number": 40,
"usage_type": "attribute"
},
{
"api_name": "libcloud.security",
"line_n... |
326828086 | # Copyright (c) 2017, 2018 Jae-jun Kang
# See the file LICENSE for details.
from datetime import timedelta
from x2py.builtin_events import TimeoutEvent
from x2py.config import Config
from x2py.flow import Flow
from x2py.flows.time_flow import TimeFlow
from x2py.util.trace import Trace
from x2py.yields.wait_handle_poo... | null | x2py/yields/wait_for_event.py | wait_for_event.py | py | 1,995 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "x2py.config.Config.Coroutine",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "x2py.config.Config",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "x2py.flow.Flow.bind",
"line_number": 16,
"usage_type": "call"
},
{
"api_name... |
17126784 | from django.shortcuts import render , HttpResponse , redirect
import csv
from .models import Movie , Year , Rating , Genres , FeedBack , Series , Language
import random
import requests
from bs4 import BeautifulSoup
from datetime import date
# Create your views here.
def index(request):
m = Rating.objects.get(rati... | null | Movies/movi/views.py | views.py | py | 21,257 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "models.Rating.objects.get",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "models.Rating.objects",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "models.Rating",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "ra... |
644839516 | from __future__ import print_function
from lxml import etree
from pprint import pprint
import requests
from utils.xml import xml_dict_get
from soap.response import parse_response
class ActionArgument(object):
def __init__(self, data):
self.name = data['name']
self.direction = data['direction']
... | null | simpleupnp/upnp/action.py | action.py | py | 5,638 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "utils.xml.xml_dict_get",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "lxml.etree.Element",
"line_number": 92,
"usage_type": "call"
},
{
"api_name": "lxml.etree",
"line_number": 92,
"usage_type": "name"
},
{
"api_name": "lxml.etree.Eleme... |
16647111 | import contextlib
import os
from pathlib import Path
import re
import warnings
from .calendar import (
load_calendar_file, load_business_calendar, CalendarDir,
format_calendar, dump_calendar_file,
get_calendar_dir, set_calendar_dir, get_calendar,
)
from .ext import *
from .weekday import *
from ... | null | python/ora/__init__.py | __init__.py | py | 5,808 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pathlib.Path",
"line_number": 118,
"usage_type": "call"
},
{
"api_name": "os.environ.get",
"line_number": 120,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 120,
"usage_type": "attribute"
},
{
"api_name": "warnings.warn",
"l... |
418019038 | # Team "camelCase"
# Matthew Chan & Jionghao Wu
# SoftDev1 pd2
# K#18: Average
# 2019-10-12
import sqlite3 #enable control of an sqlite database
import csv #facilitate CSV I/O
import math #facilitate averaging of grades
DB_FILE="../17_csv2db/discobandit.db"
db = sqlite3.connect(DB_FILE) #open if file e... | null | fall/18_db-nmcrnch/stu_mean.py | stu_mean.py | py | 2,884 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sqlite3.connect",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "math.fsum",
"line_number": 63,
"usage_type": "call"
}
] |
646959129 | # -*- coding: utf-8 -*-
import scrapy
import re
from bs4 import BeautifulSoup
class StocksSpider(scrapy.Spider):
name = 'stocks'
start_urls = ['http://quote.eastmoney.com/stocklist.html']
# 爬取股票代码
def parse(self, response):
soup = BeautifulSoup(response.text, 'html.parser')
a = soup.fi... | null | scrapy框架的使用/BaiduStocks/BaiduStocks/spiders/stocks.py | stocks.py | py | 1,304 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "scrapy.Spider",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "re.findall",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "scrapy.Request",
"... |
307365363 | #curses_wrapper.py
import curses as crs
import os
from curses import wrapper
def main(stdscr):
crs.initscr()
crs.endwin()
os.system("git status")
stdscr.getch()
os.system("clear")
# wrapper is a function that does all of the setup and teardown, and makes sure
# your program cleans up properly if i... | null | curses_wrapper.py | curses_wrapper.py | py | 345 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "curses.initscr",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "curses.endwin",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.system",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.system",
"line_number": 11... |
479730466 | import os, time
import smtplib
from email.mime.text import MIMEText
from email.mime.multipart import MIMEMultipart # 发送附件的方法
from email.header import Header
def insert_img(driver,filename):
# 以下这行代码获取到的路径格式E:\Python-test\unittest_project\common (realpath也可以写成dirname)
function_path = os.path.dirname(os.path.re... | null | unittest_requests_project/common/function.py | function.py | py | 3,424 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.dirname",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "os.path.realpath",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "time.strftime",
"line_... |
151985457 | import json
import string
import nltk
from fuzzywuzzy import fuzz
from nltk.stem import *
from nltk.tokenize import sent_tokenize, word_tokenize
from nltk.corpus import stopwords
import operator
from collections import defaultdict
import os
import numpy as np
import re
import xlrd
import xlwt
impo... | null | Yao_Ge_Assignment1.py | Yao_Ge_Assignment1.py | py | 7,048 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pandas.read_excel",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "csv.reader",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "itertools.islice",
"line_number": 88,
"usage_type": "call"
},
{
"api_name": "nltk.word_tokenize",
... |
587385986 | import serial
import time
import json
import http
import urllib.request
import time
import contract_abi
import contracBuggy_abi
import codecs
from web3 import Web3, HTTPProvider
print("Hello Word! I am here to serve")
contract_address = "0xfa541D50E3B434cb2BA7BD6CDb330a94bA0e67c1"
keyMapping = {"Card UID: A9 27 D3 2A... | null | arduino.py | arduino.py | py | 2,371 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "web3.Web3",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "web3.HTTPProvider",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "contracBuggy_abi.abi",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "serial.Serial",... |
289059350 | """
Use output of detection to divide an image into cells using a voronoi diagram
Written by Stefano Gatti
"""
# General imports
import os
import sys
import itertools
import numpy as np
import pickle as pk
import matplotlib.pyplot as plt
from scipy import ndimage
from scipy.spatial import Voronoi, voronoi_plot_2d
# ... | null | cell/CellVoronoiDiagram.py | CellVoronoiDiagram.py | py | 3,440 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sys.path.append",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "pickle.load",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "scipy.ndimage.measurements.... |
147502332 | #Discord bot for running ComplexCipher.
import discord
from discord.ext import commands
import complexcipher2
import logging
import time
import os
import random
import requests
logging.basicConfig(format = '%(levelname)s:%(name)s:(%(asctime)s): %(message)s',
datefmt = '%d-%b-%y %H:%M:%S',
... | null | cipherinterpreterbot.py | cipherinterpreterbot.py | py | 17,278 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.basicConfig",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "discord.ext.commands.Bot",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "discor... |
125127750 | #!/usr/bin/env python
# -*- coding: UTF-8 -*-
'''
https://docs.python.org/2/library/argparse.html#module-argparse
http://stackoverflow.com/questions/7605631/passing-a-list-to-python-from-command-line
'''
import sys, getopt, os
import argparse
import subprocess # just to call an arbitrary command e.g. 'ls'
GITHUB_ROO... | null | autopush.py | autopush.py | py | 1,646 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.expanduser",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "os.getcwd",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "os.chdir",
"line_number... |
584507693 | import numpy as np
from sklearn import linear_model
from sklearn.preprocessing import PolynomialFeatures
from PyQt5.QtCore import pyqtSignal, QObject
class Calculator(QObject):
# signal of predict price for UI
prediction_ok = pyqtSignal(float, float)
log = pyqtSignal(str)
def __init__(self, plot_m... | null | Steam_Analyzer_Calculator.py | Steam_Analyzer_Calculator.py | py | 1,764 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "PyQt5.QtCore.QObject",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtCore.pyqtSignal",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtCore.pyqtSignal",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "PyQ... |
107093739 | # uncompyle6 version 3.7.4
# Python bytecode 3.6 (3379)
# Decompiled from: Python 3.6.9 (default, Apr 18 2020, 01:56:04)
# [GCC 8.4.0]
# Embedded file name: build/bdist.linux-x86_64/egg/virsh_start_stop/virsh_start_stop.py
# Compiled at: 2019-02-27 06:17:38
# Size of source mod 2**32: 3283 bytes
import libvirt, time, ... | null | pycfiles/virsh_start_stop-0.0.1-py3.6/virsh_start_stop.cpython-36.py | virsh_start_stop.cpython-36.py | py | 2,535 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "libvirt.registerErrorHandler",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "libvirt.open",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "libvirt.VIR_DOMAIN_RUNNING",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_nam... |
144385809 | # Downloading necessary files
import numpy as np
import pandas as pd
import yfinance as yf
from matplotlib import pyplot
import matplotlib.pyplot as plt
from datetime import datetime
import datetime as dt
import plotly.graph_objects as go
import plotly.graph_objs as go
import plotly.express as px
from plotly.subplots i... | null | karina/thesis/services/rolling_m_sd.py | rolling_m_sd.py | py | 3,910 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "plotly.graph_objs.Figure",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "plotly.graph_objs",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "plotly.graph_objs.Scatter",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "... |
322938398 | import re
from jira import JIRA
from nltk.corpus import stopwords
from nltk.stem import SnowballStemmer
import configparser
import os
import logging
from ..common_utils.common_util import project_dir_path
from jira_cache import CachedIssues
import threading
stops = set(stopwords.words("english"))
stemmer = SnowballSte... | null | app/modules/jira_scraper/jira_worker.py | jira_worker.py | py | 10,480 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "nltk.corpus.stopwords.words",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "nltk.corpus.stopwords",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "nltk.stem.SnowballStemmer",
"line_number": 13,
"usage_type": "call"
},
{
"api_n... |
436958312 | from django.db import models
from django.utils.translation import gettext_lazy as _
from .question import Question
class directIndicatorManager(models.Manager):
def create(self, isMandatory, key, topic, name, answertype, survey=None,
description=None, instruction=None, default=None, max_number=None, min... | null | django_backend/core/models/direct_indicator.py | direct_indicator.py | py | 4,424 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.db.models.Manager",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "question.Question.objects.create",
"line_number": 10,
"usage_type": "call"
},
{
"api... |
463481517 | #-*- coding:utf-8 -*-
from optparse import make_option
import os
from os.path import join, lexists
from django.conf import settings
from django.core.management.commands import startapp
SKEL_DIR = join(settings.SITE_ROOT, 'app-skel')
class Command(startapp.Command):
option_list = startapp.Command.option_list + (... | null | project_name/apps/utils/management/commands/startapp.py | startapp.py | py | 1,039 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.join",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "django.conf.settings.SITE_ROOT",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "django.conf.settings",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": ... |
418328907 | """ Faça uma programa que receba como entrada o ano corrente e o nome de dois arquivos: um de entrada outro de saída.
Cada linha do arquivo de entrada contém o nome de uma pessoa e o seu ano de nascimento. O programa deverá ler o arquivo
de entrada e gerar um arquivo de saída onde aparece o nome da pessoa seguida por u... | null | Seção 13 - Manipulando arquivos/ex015.py | ex015.py | py | 1,215 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "datetime.date.today",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "datetime.date",
"line_number": 6,
"usage_type": "name"
}
] |
332394753 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from io import BytesIO
from django.utils import dateformat
from reportlab.lib import colors
from reportlab.pdfgen import canvas
from reportlab.lib.units import cm, mm
from reportlab.lib.styles import getSampleStyleSheet, ParagraphStyle
from reportlab.li... | null | src/transmittals/pdf.py | pdf.py | py | 7,856 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "reportlab.pdfgen.canvas.Canvas",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "reportlab.pdfgen.canvas",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "reportlab.pdfgen.canvas.Canvas.__init__",
"line_number": 26,
"usage_type": "c... |
234896118 | """
The lxc v1, v2, v3 resource driver
"""
import os
from datetime import datetime
import resources as Res
from rcUtilitiesLinux import check_ping
from rcUtilities import which, justcall, lazy, makedirs
from rcGlobalEnv import rcEnv
import resContainer
import rcExceptions as ex
import rcStatus
CAPABILITIES = {
"c... | null | lib/resContainerLxc.py | resContainerLxc.py | py | 19,570 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "resContainer.Container",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "resContainer.Container.__init__",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "resContainer.Container",
"line_number": 57,
"usage_type": "attribute"
},
... |
409720632 | import logging
logging.basicConfig(handlers = [logging.FileHandler('log.txt', mode = 'w', encoding = 'utf-8')], level = logging.INFO, format = '%(asctime)s - %(levelname)s - %(message)s')
import sys, io, pprint
sys.stdout = io.TextIOWrapper(sys.stdout.buffer,encoding='utf8') #改变标准输出的默认编码
import requests, bs4, r... | null | dangdang/dangdang.py | dangdang.py | py | 5,553 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.basicConfig",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "logging.FileHandler",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 2,
"usage_type": "attribute"
},
{
"api_name": "sys.stdout",
... |
266222814 | #!/usr/bin/env python3
from collections import defaultdict
def solve(problem):
prog = [l.split() for l in problem.splitlines()]
state = defaultdict(int)
res = 0
for r,op,x,_,c,cond,v in prog:
c = state[c]
x = int(x)
v = int(v)
t = False
if cond == '>':
... | null | code/08-2-registers/solve.py | solve.py | py | 1,147 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "collections.defaultdict",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "fileinput.input",
"line_number": 56,
"usage_type": "call"
}
] |
58784078 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('contact', '0001_initial'),
]
operations = [
migrations.AddField(
model_name='contact',
name='gender'... | null | contact/migrations/0002_contact_gender.py | 0002_contact_gender.py | py | 478 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.db.migrations.Migration",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "django.db.migrations",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.db.migrations.AddField",
"line_number": 14,
"usage_type": "call"
},
{
... |
16004367 | # -*- encoding: utf-8 -*-
# @Version : 1.0
# @time: 2019年10月22日21:47:19
import os
import sys
import re
import requests
from bs4 import BeautifulSoup as bb
import urllib
import time
import random
import socket
from multiprocessing import Pool
headers = {
'User-Agent': 'Mozilla/5.0 (Windows NT 6.1... | null | beauty_figs.py | beauty_figs.py | py | 3,767 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "requests.get",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_numbe... |
488662062 | # set QT_API environment variable
import os
os.environ["QT_API"] = "pyqt5"
import qtpy
# qt libraries
from qtpy.QtCore import *
from qtpy.QtWidgets import *
from qtpy.QtGui import *
# app specific libraries
import control.widgets as widgets
import control.camera as camera
import control.core as core
import control.m... | null | software/control/gui.py | gui.py | py | 5,795 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.environ",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "control.core.ImageDisplayWindow",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "control.core",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "control.c... |
218041487 | import http.client
from flask_restplus import Namespace, Resource
from nanotwitter_pg.backend.models import TweetModel
from nanotwitter_pg.backend.db import db
admin_namespace = Namespace('admin', description='Admin operations')
@admin_namespace.route('/tweets/<int:tweet_id>/')
class TweetsDelete(Resource):
@ad... | null | nanotwitter_pg/backend/admin_namespace.py | admin_namespace.py | py | 767 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "flask_restplus.Namespace",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "flask_restplus.Resource",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "nanotwitter_pg.backend.models.TweetModel.query.get",
"line_number": 18,
"usage_type": "ca... |
353156842 | from typing import Any, Callable, Optional
import numpy as np
from numpy import ndarray
from scipy.sparse import coo_matrix
from .form import Form, BasisTuple
from .form_parameters import FormParameters
from ..global_basis import GlobalBasis
class LinearForm(Form):
def kernel(self,
b: ndarray,
... | null | skfem/assembly/form/linear_form.py | linear_form.py | py | 1,826 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "form.Form",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "numpy.ndarray",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "numpy.ndarray",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "form.BasisTuple",
"line_num... |
51570946 | from django.conf.urls import url, include
from rest_framework.urlpatterns import format_suffix_patterns
from apps.api import views
urlpatterns = format_suffix_patterns([
url(r'^posts/$', views.PostList.as_view(), name='api_posts_list'),
url(r'^posts/(?P<uuid>[a-f0-9]{32})/$', views.PostDetail.as_view(), name... | null | apps/api/urls.py | urls.py | py | 1,132 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "rest_framework.urlpatterns.format_suffix_patterns",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "apps.api.views.PostList.as_view",
"line_number": 8,
"usage_type": "c... |
423914047 | #########################################################################################################################
# [This sources was extremely helpful] #
# Sources: [https://www.youtube.com/watch?v=2FwNy4Gxyh4&feature=youtu.be&lis... | null | Networking_Assignment_1/Assignments_1/HTTPServerClient/client.py | client.py | py | 2,122 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "requests.get",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 56,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 57,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number"... |
468899022 | import zmq
def add1(n):
return n + 1
def parse_number(s):
try:
return int(s)
except ValueError:
return float(s)
def add1_server(listen_address="tcp://*:5555"):
context = zmq.Context()
socket = context.socket(zmq.REP)
socket.bind(listen_address)
while True:
# W... | null | message-queue/add_1_server.py | add_1_server.py | py | 812 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "zmq.Context",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "zmq.REP",
"line_number": 17,
"usage_type": "attribute"
}
] |
447957232 | from sklearn.feature_extraction import DictVectorizer
def dict_demo():
data = [{"city": "北京", "temperature": 100},
{"city": "上海", "temperature": 60},
{'city': '深圳', 'temperature': 30}]
# 1.实例化一个转换类
transfer = DictVectorizer(sparse=False)
# 2.调用fit_transform
data = transfer.... | null | python/third_library/Machine_learning/sk-learn/sklearn_test003.py | sklearn_test003.py | py | 498 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sklearn.feature_extraction.DictVectorizer",
"line_number": 9,
"usage_type": "call"
}
] |
310633835 | from riotwatcher import RiotWatcher, ApiError
import json, requests
# The values before the region table are for you to modify
apiKey = "Put API Key Here" # Get API key here: https://developer.riotgames.com/
# List of queue types found here: http://static.developer.riotgames.com/docs/lol/queues.json
gameType = 450 ... | null | LolStats.py | LolStats.py | py | 7,267 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "json.loads",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "riotwatcher.RiotWatcher",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "riotwatcher.ApiError"... |
494035739 | from Bio import SeqIO
from Bio.Seq import Seq
from src.core.annotations import read_annotations, localize_all_variants, CDSType
from src.core.constants import codon_table, codon_table_compl, complement, upstream_length
path_to_annotations = './data/AL123456_rev.gff'
path_to_ref = './data/h37rv.fasta'
path_to_snps = '... | null | phylo_methods/translate_snp_pos.py | translate_snp_pos.py | py | 5,598 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "Bio.SeqIO.parse",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "Bio.SeqIO",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "src.core.constants.codon_table",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "src.core.con... |
86757775 | from collections import deque
# DSLR 모범답안 방식으로 다시 풀어봄!
MAXN = 100000
def bfs() :
q = deque()
q.append([N,str(N)])
while q :
cur,path = q.popleft()
if cur == K :
print(dp[K])
print(path)
break
for i in [2*cur,cur-1,cur+1] :
if 0 <= i ... | null | BOJ/27_동적 계획법과 최단거리 역추적/13913_숨바꼭질4_다른풀이.py | 13913_숨바꼭질4_다른풀이.py | py | 588 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "collections.deque",
"line_number": 6,
"usage_type": "call"
}
] |
24500994 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from plone.recipe.codeanalysis.scsslint import console_script
from plone.recipe.codeanalysis.scsslint import SCSSLint
from plone.recipe.codeanalysis.testing import CodeAnalysisTestCase
from shutil import rmtree
from tempfile import mkdtemp
from testfixture... | null | plone/recipe/codeanalysis/tests/test_scsslint.py | test_scsslint.py | py | 7,710 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.environ.get",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "plone.recipe.codeanalysis.testing.CodeAnalysisTestCase",
"line_number": 51,
"usage_type": "name"
},
{
... |
508343208 | import threading, socket, json, uuid
# Size of the buffer for receiving TCP messages (in bytes)
BUFFER_SIZE = 1024
# Don't worry too much about SOCKET_QUEUE_SIZE
SOCKET_QUEUE_SIZE = 20
class Worker:
def __init__(self, client1_port, client2_port, client3_port):
self.client2_port = client2_port
self.client3... | null | testWesClient.py | testWesClient.py | py | 3,350 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "uuid.uuid4",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "socket.socket",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "socket.AF_INET",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "socket.SOCK_STREAM",
... |
244883672 | import ast
import datetime
def reducer(key, value):
value = value.next()
yield key, value
class ActorFilterMapper(object):
def __call__(self, key, value):
id_, val = value.split('\t')
record = ast.literal_eval(val)
if record.get('record_type', '') == 'actor' and 'birthday' in recor... | null | src/mapreduce/query3.py | query3.py | py | 988 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "ast.literal_eval",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.strptime",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "da... |
614368664 | from __future__ import division
import collections
import importlib
import networkx as nx
import numpy as np
PI = np.pi
from geometry.opticaxis import opticaxisFactory, RuleHexArrayMap, OpticAxisRule
def divceil(x, y):
return (x+y-1)//y
class Ommatidium(object):
def __init__(self, element):
'''
... | null | retina/retina.py | retina.py | py | 16,961 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.pi",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "collections.OrderedDict",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "importlib.import_module",
"line_number": 65,
"usage_type": "call"
},
{
"api_name": "importli... |
646134960 |
from itertools import product
class Hashabledict(dict):
def __hash__(self):
return hash(frozenset(self.items()))
def get_dict_combinations(dikt):
return (dict(zip(dikt.keys(), values)) for values in product(*dikt.values()))
def bfsCreateTo(PG, TS):
queue = list(TS['I'])
visited = list(que... | null | ass4/hw4.py | hw4.py | py | 1,395 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "itertools.product",
"line_number": 11,
"usage_type": "call"
}
] |
411692252 | import os
import multiprocessing
def whoami(what):
print(f'Process PID: {os.getpid()} say: {what}')
def do(what_to_do):
whoami(what_to_do)
def main():
whoami("I'm the main program")
for _, n in enumerate(range(5), start=1):
print(f'[*] start process # {_}')
process = multiprocessi... | null | spl/multiprocessing_module/app3.py | app3.py | py | 561 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.getpid",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "multiprocessing.Process",
"line_number": 18,
"usage_type": "call"
}
] |
206976969 | import os
import re
import sys
from typing import Dict, List, Tuple
import click
from workspacesio import s3utils, schemas
from .util import exit_with, handle_request_error
SUPPORTED_MINIO_COMMANDS = [
"ls",
"cp",
"mirror",
"cat",
"head",
"pipe",
"share",
"find",
"sql",
"stat... | null | workspacesio/cli/mc.py | mc.py | py | 2,248 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.exists",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 33,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "os.path.expanduser",
... |
388068248 | __author__ = "Nigshoxiz"
from flask import render_template, abort, request, redirect, send_file
from hashlib import md5
from jinja2 import TemplateNotFound
import os, json, shutil
from app import db, app
from app.controller.global_config import GlobalConfig
from app.controller.user_inst import UserInstance
from app.c... | null | app/blueprints/server_inst/create_inst.py | create_inst.py | py | 10,322 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "app.utils.returnModel",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "app.blueprints.superadmin.check_login.check_login",
"line_number": 23,
"usage_type": "name"
... |
308368695 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# @File : gbdt_model.py
# @Author: Huangqinjian
# @Date : 2018/3/28
# @Desc :
import numpy as np
import pandas as pd
from sklearn.model_selection import GridSearchCV
from sklearn.ensemble import GradientBoostingRegressor
# 加载训练集
def load_trainData(trainFilePath):
d... | null | Public_Bike/gbdt_model.py | gbdt_model.py | py | 4,219 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pandas.read_csv",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "sklearn.ensemble.GradientBoostingRegressor",
"line_number": 44,
"usage_type": "call"
},
{
"api_na... |
305043011 | #!/usr/bin/env python
import cv2
import os
import sys
if __name__=="__main__":
nmFile=sys.argv[1]
dim=96
img = cv2.imread(nmFile)
if img is None:
os.system('del %s'%nmFile)
print("REJECTED, not image remove , no add to repository ")
else:
print("ACCEPTED")
| null | public/code/checkImage.py | checkImage.py | py | 317 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sys.argv",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "cv2.imread",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.system",
"line_number": 12,
"usage_type": "call"
}
] |
56075484 | def chunkerExample(n):
import nltk
import re
text = nltk.word_tokenize(n)
post = nltk.tag.pos_tag(text)
print(type(post))
print(post)
grammer = "NP: {<DT>?<JJ.*>*<NN.*>+}"
NPChunker = nltk.RegexpParser(grammer)
result = NPChunker.parse(post)
print(result)
result.draw()
... | null | NPL/Lab 4/chunkerExample.py | chunkerExample.py | py | 321 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "nltk.word_tokenize",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "nltk.tag.pos_tag",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "nltk.tag",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "nltk.RegexpParser",
... |
582593421 | import pygame
from pygame.locals import *
from common.Scene import Scene
from common.VideoPlayer import VideoPlayer
from common.Button import Button
from common.Log import Log
class VideoScene(Scene):
def __init__(self, game, filename, endScene, soundFile=None, hasBack=False, endSceneData=None, initialFrames=None, f... | null | code/Exhibits/common/VideoScene.py | VideoScene.py | py | 1,672 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "common.Scene.Scene",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "pygame.image.load",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "pygame.image",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "pygame.image.lo... |
53470936 | # Nameko relies on eventlet
# You should monkey patch the standard library as early as possible to avoid
# importing anything before the patch is applied.
# See http://eventlet.net/doc/patching.html#monkeypatching-the-standard-library
import eventlet
eventlet.monkey_patch()
import logging
logger = logging.getLogger(__... | null | docs/examples/helloworld.py | helloworld.py | py | 1,229 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "eventlet.monkey_patch",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "nameko.events.Event",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "nameko.even... |
227169120 | from compute_error import compute_error
import matplotlib.pyplot as plt
import numpy as np
import os
import sys
import glob
import warnings
warnings.simplefilter("ignore")
def plot_all_errors(folder):
errors = []
labels = []
for i, model in enumerate(os.listdir(folder)):
if not model.startswith('.'... | null | libraries/mclab/data_model/test/plot_all_errors.py | plot_all_errors.py | py | 986 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "warnings.simplefilter",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.chdir",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "glob.glob",
"line_number... |
427792229 | import argparse
from diacritizer import Diacritizer
from itertools import repeat
import random
import numpy as np
import torch
SEED = 1234
random.seed(SEED)
np.random.seed(SEED)
torch.manual_seed(SEED)
torch.cuda.manual_seed(SEED)
torch.backends.cudnn.deterministic = True
torch.backends.cudnn.benchmark = False
def... | null | python/diacritize.py | diacritize.py | py | 1,338 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "random.seed",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.random.seed",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "torch.manual_seed",
... |
551399382 | import pandas as pd
import numpy as np
from tiingo import TiingoClient
import matplotlib.pyplot as plt
from pandas.plotting import register_matplotlib_converters
register_matplotlib_converters()
filepath = "C:\\Users\\Dell\\OneDrive - George Mason University\\MBA 797 SMIF\\Plots\\"
API_KEY = "your API key"
config = {... | null | MBA797, FNAN477/graphing daily pct returns.py | graphing daily pct returns.py | py | 1,670 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pandas.plotting.register_matplotlib_converters",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "tiingo.TiingoClient",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.ylim",
"line_number": 38,
"usage_type": "call"
},
... |
76779072 | # -*- coding: utf8 -*-
# # # #
# beginnings of a test suite for the utility functions
# # # #
import unittest
import rasterio
import numpy as np
class TestWriteGTiff( unittest.TestCase ):
''' tests for testing write_gtiff function '''
def setUp( self ):
print( 'setup' )
from affine import Affine
# make dumm... | null | downscale/tests/test_utils.py | test_utils.py | py | 1,555 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "unittest.TestCase",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "affine.Affine",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "rasterio.drivers",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "rasterio.open",... |
173051738 | from string import ascii_uppercase as asc
from itertools import product as d
import re
print("Playfair Cypher: Enter your key and plain text :")
key=input()
text=input()
#key="hmarepasskey"
#text="iskidetailmenhamnhijaengy"
t=lambda x: x.upper().replace('J','I')
s=[]
for _ in t(key+asc):
if _ not in s and _... | null | playfair.py | playfair.py | py | 1,144 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "string.ascii_uppercase",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "string.ascii_uppercase",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "itertools.product",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "itert... |
332894050 | import json
import requests as req
import wikipediaapi
q = "werqwerewwrwrwerweasdasdfewrerwrwrwerfasdfdsfaf"
url = "https://app.zenserp.com/api/v2/search?apikey=3006e4b0-5578-11ea-8b01-070206ede933&q=" + q
try:
ret = req.get(url)
#print(ret.text)
json_data = json.loads(ret.text)
#print(json_data)
res = json_dat... | null | json_data_extraction.py | json_data_extraction.py | py | 809 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "requests.get",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "wikipediaapi.Wikipedia",
"line_number": 20,
"usage_type": "call"
}
] |
223783308 | from django.shortcuts import render, HttpResponse, redirect
import random
import datetime
def index(request):
return render(request, 'django_gold/index.html')
def process(request):
print(request.POST['postType'])
x = datetime.datetime.now().strftime("%a, %B %d, %Y")
request.session['color'] = "green"
... | null | ninja_gold_2/apps/django_gold/views.py | views.py | py | 1,815 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.shortcuts.render",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "r... |
411534020 | from httpx import AsyncClient, Cookies, Headers
def test_client_headers():
client = AsyncClient()
client.headers = {"a": "b"} # type: ignore
assert isinstance(client.headers, Headers)
assert client.headers["A"] == "b"
def test_client_cookies():
client = AsyncClient()
client.cookies = {"a": ... | null | tests/client/test_properties.py | test_properties.py | py | 526 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "httpx.AsyncClient",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "httpx.Headers",
"line_number": 7,
"usage_type": "argument"
},
{
"api_name": "httpx.AsyncClient",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "httpx.Cookies",
... |
285361151 | #! /usr/bin/env python3
############################################################
# Copyright(c) 2017, Sara Mirzaee #
############################################################
import os
import time
import numpy as np
import minopy_utilities as mnp
from skimage.measure import label
from m... | null | dev/patch_inversion.py | patch_inversion.py | py | 10,261 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "minopy.objects.arg_parser.MinoPyParser",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 45,
"usage_type": "attribute"
},
{
"api_name": "mino... |
42600318 | import gym
from dqn_agent import DQNAgent, DQNConfig
import tensorflow as tf
import numpy as np
def train_lander():
env = gym.make("LunarLander-v2")
cfg = DQNConfig()
cfg.model_savename = "lunar_lander"
cfg.plot_scores = True
cfg.validate_completions = True
cfg.winning_score = 200.0
cfg.re... | null | dqn_lander.py | dqn_lander.py | py | 936 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "gym.make",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "dqn_agent.DQNConfig",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "dqn_agent.DQNAgent",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "gym.make",
"line_nu... |
190488791 | #!/usr/bin/env python
import os
from setuptools import setup
from setuptools.dist import Distribution
from setuptools.command.install import install
import itertools as it
from wheel.bdist_wheel import bdist_wheel as _bdist_wheel
class bdist_wheel(_bdist_wheel):
def finalize_options(self):
_bdist_wheel.fi... | null | setup.py | setup.py | py | 2,206 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "wheel.bdist_wheel.bdist_wheel",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "wheel.bdist_wheel.bdist_wheel.finalize_options",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "wheel.bdist_wheel.bdist_wheel",
"line_number": 12,
"usage_ty... |
495336035 | # -*- coding: utf-8 -*-
import torch
import torch.nn as nn
from torch import optim
import torch.nn.functional as F
import re
import json
import random
import utils
import time
import os
from numpy import argsort
# ToDo: handling the UNK
# ToDo: batches
DATA = 'data/'
device = torch.device('cuda' if torch.cuda.is_... | null | train.py | train.py | py | 10,770 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "torch.device",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "torch.tensor",
... |
50450566 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import branca
import folium
import geopandas
import pandas as pd
import numpy as np
import seaborn as sns
import tensorflow as tf
import matplotlib
import matplotlib.pyplot as plt
import matplotlib.cm as cm
from matplotlib import animation
from matplotlib.backends.backend_p... | null | utils.py | utils.py | py | 8,740 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.prod",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "tensorflow.cast",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "tensorflow.float32",
"line_number": 34,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.cast",
... |
171206510 | import json
import re
def is_question(sentence: str):
"""
检测句子是否是问句
:param sentence:
:return:
"""
q_words = ["为什么", "是否", "请问", "哪里", "是什么", "怎么", "如何", "有什么", "有听说过"]
for word in q_words:
if word in sentence:
return True
if any([
sentence.endswith("?"),
... | null | tmp/acg/step2_build_dia_action.py | step2_build_dia_action.py | py | 2,583 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "re.search",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_number": 77,
"usage_type": "call"
}
] |
513062256 | #!/usr/bin/env python
"""Convert between crystal structure formats using ASE.
For a list of supported formats, see
https://wiki.fysik.dtu.dk/ase/ase/io/io.html.
Among the supported formats:
- espresso-in: Quantum ESPRESSO input files
- xsf: xcrysden
- cif
- xyz
"""
import sys
def check_ase_is_installed():
try:... | null | convert_structure.py | convert_structure.py | py | 1,545 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "argparse.RawDescriptionHelpFormatter",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "ase.io.io.read",
"line_number": 36,
"usage_type": "call"
},
{
"... |
541138989 | #! usr/bin/python3
# -*- coding: utf-8 -*-
from flask import url_for
from application import app
from application.flicket.models.flicket_models import FlicketPriority, FlicketCategory
from application.flicket.models.flicket_user import FlicketUser
from tests.main import TestCase, CreateUser, dump_to_tmp, CreateTicke... | null | tests/tickets.py | tickets.py | py | 1,899 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "tests.main.TestCase",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "application.app.app_context",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "application.app",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "appli... |
457299244 | # -*- coding: utf-8 -*-
import os
import glob
from PIL import Image
from keras.preprocessing.image import ImageDataGenerator, img_to_array, load_img
def RGBA2RGB( path1=None, path2=None ):
"""
Convert RGBA memes into RGB ones
alpha channel drops
params: path1 (str), path... | null | meme_preprocessing.py | meme_preprocessing.py | py | 2,100 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.listdir",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "PIL.Image.open",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "os.path.splitext",
"line_numb... |
294651135 | from time import perf_counter
import aiohttp, asyncio
from sys_http.http_ansy import fetch_text, fetch_resp_text
from mm_channel import get_mei_channel
from mm_parase import get_page_index
def get_count_page_urls(start=1, count=1):
'''build url page'''
base_url = 'http://www.mzitu.com/page'
page_urls = [... | null | mm_zt/mm_pages.py | mm_pages.py | py | 1,646 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sys_http.http_ansy.fetch_text",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "mm_channel.get_mei_channel",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "time.perf_counter",
"line_number": 21,
"usage_type": "call"
},
{
"api_na... |
583979092 | import face_recognition as face
from PIL import Image, ImageDraw
import cv2, numpy
def find_faces(file):
image = face.load_image_file(file)
locations = face.face_locations(image)
landmarks = face.face_landmarks(image)
assert not ([locations, landmarks] == [[], []]), "A face could not be identified"
... | null | Python/recognise faces 1/main.py | main.py | py | 6,103 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "face_recognition.load_image_file",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "face_recognition.face_locations",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "face_recognition.face_landmarks",
"line_number": 8,
"usage_type": "call"
... |
584769881 | '''
Megh Vakharia
AStar.py
A* Search of a problem space.
The Problem should be given in a separate Python
file using the "QUIET" file format.
The Heuristics are attached to the Problem as well.
Example of Usage:
#python3 AStar.py hw4 h_not_full_subsets
'''
# heapq imported to get access to priority queue
import sys... | null | AStar.py | AStar.py | py | 3,720 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sys.argv",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "sys.exit",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "importlib.import_module",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_n... |
127418567 | import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.nn.parallel
import torch.utils.data
class AutoPool1D(nn.Module):
def __init__(self, dim=0):
super(AutoPool1D, self).__init__()
# By default, initialize to all zeros
self.kernel = torch.nn.Parameter(data=torch.T... | null | cdsd/autopool.py | autopool.py | py | 1,233 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "torch.nn.Module",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "torch.nn.Parameter",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_n... |
4115139 | from attackcti import attack_client
from stix2 import TAXIICollectionSource, Filter, CompositeDataSource, FileSystemSource
from sys import platform
import yaml
from enum import Enum
import json
from functools import reduce
from models import AttackTactic, AttackTechnique, _atomics_folder_path, _home_path, JupyterCells
... | null | playbook-generator/generator.py | generator.py | py | 3,992 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "attackcti.attack_client",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "models.AttackTactic",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "os.path",... |
489255211 | import json
import uuid
from bs4 import BeautifulSoup
from flask import url_for
from itsdangerous import SignatureExpired
from tests.conftest import normalize_spaces
def test_should_return_verify_template(
client,
api_user_active,
mock_send_verify_code,
):
# TODO this lives here until we work out ho... | null | tests/app/main/views/test_verify.py | test_verify.py | py | 5,716 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "flask.url_for",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "uuid.UUID",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "flask.url_for",
"line_n... |
123673715 | import xlrd
import time
import os
import logging
import datetime
from xlrd import xldate_as_tuple
#把excel的数据直接存到临时数组，直接进行分析，抛弃mysql支持
class excel_operation():
def foreach(self,rootDir):
files_excel=[]
for root,dirs,files in os.walk(rootDir):
for file in files:
file_name=... | null | 待自动化运行脚本/客户过期资料-数据监控/scripts/数据校对.py | 数据校对.py | py | 9,955 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.walk",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number"... |
153713367 | import numpy as np
from scipy.linalg import expm
from scipy.interpolate import Akima1DInterpolator
from qiskit import QuantumCircuit
X = np.matrix([[0, 1.0], [1.0, 0]], dtype='complex128')
Y = np.matrix([[0, -1.0j], [1.0j, 0]], dtype='complex128')
Z = np.matrix([[1.0, 0], [0, -1.0]], dtype='complex128')
I = np... | null | Code/4spin/qfunctions4spin.py | qfunctions4spin.py | py | 7,297 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.matrix",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "numpy.matrix",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.matrix",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.matrix",
"line_number":... |
580075542 | '''scrape.py: Scrape historical end-of-season data from sports-reference.com'''
from bs4 import BeautifulSoup
import requests
import csv
from tqdm import tqdm
from time import sleep
from data import cleandata
years = [i for i in range(1993, 2021)]
def write_table(table, year, s=""):
output_rows = []
for tab... | null | scrape.py | scrape.py | py | 1,666 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "tqdm.tqdm",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_numbe... |
471458436 | from django.conf.urls import url
from django.contrib import admin
from app01.views import index, login, list
urlpatterns = [
# url <--> func
url(r'^admin/', admin.site.urls),
url(r'^index/', index),
url(r'^login/', login),
url(r'^list/(?P<name>\w*)/(?P<id>\d*)/$', list),
url(r'^list/(?P<name>\w*)/$', list... | null | westos201708/app01/urls.py | urls.py | py | 341 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.conf.urls.url",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.contrib.admin.site",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.admin",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": ... |
620969213 | import io
import logging
import pexpect
from pexpect.spawnbase import SpawnBase
class SerialSpawn(SpawnBase):
"""Due to pyserial not support file descriptor for windows, fdspawn could not be used.
This class implement a spawn for pyserial, all interfaces are defined from the base
`SpawnBase`. For more in... | null | mcutk/pserial/serialspawn.py | serialspawn.py | py | 4,439 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pexpect.spawnbase.SpawnBase",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "logging.debug",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "io.BytesIO",
"line_number": 86,
"usage_type": "attribute"
},
{
"api_name": "logging.debu... |
129372166 | # coding: utf-8
import os
import pandas as pd
from datetime import datetime
# cur_path = os.path.split(os.path.realpath(__file__))[0]
cur_path = "./test"
file_kline = os.path.join(cur_path, "data/000001.XSHG_1MIN.csv")
kline = pd.read_csv(file_kline, encoding="utf-8")
kline.loc[:, 'dt'] = pd.to_datetime(kline['dt'])
... | null | test/profile_modify.py | profile_modify.py | py | 802 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.join",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "pandas.read_csv",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pandas.to_datetime",
"lin... |
166448089 | # -*- coding: utf-8 -*-
from typing import Optional
# https://developer.mozilla.org/en-US/docs/Web/HTTP/Status#client_error_responses
class OneTaskError(Exception):
"""
Base Entity for onetask errors.
"""
def __init__(self, message: Optional[str] = None):
if message is None:
messa... | null | onetask/exceptions.py | exceptions.py | py | 2,182 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "typing.Optional",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 62,
"usage_type": "name"
}
] |
604200833 | import socket
import os
import sys
import select
import threading
import errno
from Cryptodome.Cipher import DES
class Server():
def __init__(self):
self.host = ''
self.backlog = 5
self.size = 1024
self.server = None
self.threads = []
self.port = '... | null | dfs/dfs.py | dfs.py | py | 10,730 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sys.argv",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "os._exit",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "os._exit",
"line_number": 27... |
290440245 | # coding=utf-8
from __future__ import absolute_import
from __future__ import print_function
from __future__ import division
import os
import cv2
import numpy as np
__all__ = ['reader']
def reader(paths=[], images=None):
"""
data generator
Args:
paths (list[str]): paths to images.
image... | null | modules/image/object_detection/yolov3_darknet53_venus/data_feed.py | data_feed.py | py | 1,977 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.isfile",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "cv2.imread",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number... |
179917261 | import os
from collections import Counter
import cv2
# list all the image in one path
# get the nums of image in one data by Counter
# make dir base on the Counter
def GetAllImageDirPath(dir_path):
return [dir_path + filename for filename in os.listdir(dir_path)]
def GetDateInImageName(imagenam... | null | count_numbers_of_image_by_data.py | count_numbers_of_image_by_data.py | py | 4,133 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.listdir",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path.isdir",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "os.mkdir",
"line_number": 3... |
249501870 | # -*- coding: utf-8 -*-
from collections import namedtuple
import json
import re
import scrapy
from scrapy import Selector
from urllib.parse import urljoin, urlparse
from .. import items
from ..items import (
ForumItem,
ActiveTopicItem,
ArchivedTopicItem,
TopicCompletedItem
)
from ..loaders import Fo... | null | forum_scraper/spiders/a2ch.py | a2ch.py | py | 8,064 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "scrapy.spiders",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "collections.namedtuple",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "scrapy.Request",... |
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