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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
23268605 | import argparse
import os
import shutil
import time
import platform
import torch
from torch.autograd import Variable
import torch.nn as nn
import torch.backends.cudnn as cudnn
import torchvision.datasets as datasets
from taskonomy_losses import *
from taskonomy_loader import TaskonomyLoader
from apex.parallel impo... | null | train_taskonomy.py | train_taskonomy.py | py | 26,764 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "model_definitions.__dict__",
"line_number": 33,
"usage_type": "attribute"
},
{
"api_name": "model_definitions.__dict__",
"line_number": 35,
"usage_type": "attribute"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 38,
"usage_type": "call"
},
... |
634517242 | import collections
from operator import attrgetter
import pandas as pd
import numpy as np
from trtools.monkey import AttrProxy, AttrNameSpace
class UserPandasObject(object):
"""
Base methods of a quasi pandas subclass.
The general idea is that all methods from this class will
wrap the o... | null | trtools/tools/composition.py | composition.py | py | 6,379 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "operator.attrgetter",
"line_number": 74,
"usage_type": "call"
},
{
"api_name": "trtools.monkey.AttrNameSpace",
"line_number": 86,
"usage_type": "argument"
},
{
"api_name": "trtools.monkey.AttrProxy",
"line_number": 90,
"usage_type": "call"
},
{
"api... |
59415856 | """
Investigate an email with a suspicious file attachment detected by Splunk Enterprise Security. Detonate the file attachment in a sandbox, gather network behavior from the sandbox results, and pivot on those network indicators with both external reputation queries and internal Splunk Common Information Model searche... | null | suspicious_email_attachment_investigate_and_delete.py | suspicious_email_attachment_investigate_and_delete.py | py | 29,354 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "phantom.rules.debug",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "phantom.rules",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "phantom.rules.debug",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "phantom.rules",... |
432512893 | import cv2
img = cv2.imread('../20.jpg')
print('')
w = 128
h = 128
y = int(img.shape[0] / 2)
x = int(img.shape[1] / 2)
resize = cv2.resize(img, (w, h))
crop = img[y:y + h, x:x + w]
cv2.imshow("img", img)
cv2.imshow("resize", resize)
cv2.imshow("crop", crop)
cv2.waitKey(0)
| null | scripts/test.py | test.py | py | 277 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "cv2.imread",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "cv2.resize",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "cv2.imshow",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "cv2.imshow",
"line_number": 15,
... |
338629695 | #!/usr/bin/env python
# Examples from Cisco Live Preso
# https://www.ciscolive.com/c/dam/r/ciscolive/us/docs/2020/pdf/DGTL-BRKPRG-2432.pdf
''' Example 2 '''
# Create a Login HANDLE and Login
from ucsmsdk.ucshandle import UcsHandle
HANDLE = UcsHandle("172.16.125.2", "ucspe", "ucspe" )
HANDLE.login()
# Print HANDLE '... | null | ucs_ex2_dump_xml.py | ucs_ex2_dump_xml.py | py | 898 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "ucsmsdk.ucshandle.UcsHandle",
"line_number": 10,
"usage_type": "call"
}
] |
334198426 | # -*- coding: utf-8 -*-
# 스케줄 종류에는 여러가지가 있는데 대표적으로 BlockingScheduler, BackgroundScheduler 입니다
# BlockingScheduler 는 단일수행에, BackgroundScheduler은 다수 수행에 사용됩니다.
# 여기서는 BackgroundScheduler 를 사용하겠습니다.
from apscheduler.schedulers.background import BackgroundScheduler
from apscheduler.jobstores.base import JobLookupError
... | null | prediction/(backup)prediction/Model_test.py | Model_test.py | py | 7,754 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "apscheduler.schedulers.background.BackgroundScheduler",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "time.localtime",
"line_number": 30,
"usage_type": "call"
},
{
"a... |
9871200 | import uuid
import numpy as np
import math
from datetime import datetime, timedelta
def main():
"""
This saves lines of log in the csv file.
:return: a csv file
"""
gen_logs = make_multiple_cid_logs(1000, '2015-01-01', '2015-02-28', 2, .1)
with open('./fake_logs.csv', 'w') as f:
for ge... | null | gen_logs.py | gen_logs.py | py | 3,189 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "uuid.uuid4",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.strptime",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 53,
"usage_type": "name"
},
{
"api_name": "datetime.date... |
113890871 | from discord.ext import commands as discord_commands
from discord.ext.commands import Bot
from discord import Activity, ActivityType
class BastionBot(Bot):
def __init__(self, config, *args, **kwargs):
self.token = config['client']['token']
self.config = config
super().__init__(*args, **kw... | null | bastion/__init__.py | __init__.py | py | 1,125 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "discord.ext.commands.Bot",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "discord.Activity",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "discord.ActivityType.playing",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_na... |
296783094 | #!/usr/bin/env python
# filename: orangejuice/utils/umeng.py
import os
import configparser
import requests
class UmengHandler:
"""
This class try to get statistic data from umeng
"""
def __init__(self, section_name='UMENG_CONFIG',
file_name='orangejuice.conf'):
# build con... | null | orangejuice/utils/umeng.py | umeng.py | py | 4,669 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.split",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "configparser.ConfigParser"... |
640238628 | import cv2
import os
from os.path import isfile, join
import re
from spinner import Spinner
def read_png_to_video(read_dir, vid_path, fps):
if not os.path.exists(read_dir):
raise Exception(read_dir+'does not exist!')
files = [f for f in os.listdir(read_dir) if isfile(join(read_dir, f))]
if len(f... | null | pngtovideo.py | pngtovideo.py | py | 1,179 | 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": "os.listdir",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path.isfile",
"line_num... |
516729577 | import requests
from urllib.parse import urljoin
from datetime import datetime
class IndianKanoon:
"""
Search query https://api.indiankanoon.org/search/?formInput=<query>&pagenum=<pagenum>
Document https://api.indiankanoon.org/doc/<docid>/
Document fragments https://api.indiankanoon.org/docfragment/<doci... | null | scraper/kanoon/indianKanoon.py | indianKanoon.py | py | 2,085 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "requests.Session",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 34,
"usage_type": "argument"
},
{
"api_name": "datetime.datetime",
"line_number": 38,
"usage_type": "argument"
},
{
"api_name": "urllib.p... |
326691095 | #! /usr/bin/python
import cv2
import sys
from ann.train import train
from ann.test import test
def main():
if len(sys.argv) < 2:
print('Please specify your option [test/train]')
return 1
emotions = ['NEUTRAL', 'HAPPY', 'SAD', 'SURPRISED']
if sys.argv[1] == 'train':
train(emo... | null | main.py | main.py | py | 1,086 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sys.argv",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "ann.train.train",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_numb... |
602584711 | #!/usr/bin/python -tt
# -*- coding: utf-8 -*-
################################################################################
# This is the confidential unpublished intellectual property of EMC Corporation,
# and includes without limitation exclusive copyright and trade secret rights
# of EMC throughout the world.
##... | null | hypervisor_test_model/utils.py | utils.py | py | 5,916 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "os.path.basename",
"line_number": 61,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 61,
"usage_type": "attribute"
},
{
"api_name": "os.path.splitext",
... |
501442499 | import shelve
import threading
from logging import getLogger
from celery.events import EventReceiver
from celery.events.state import State as EventsState
from celery_worker.celery import app as capp
from environment_settings import CELERY_UI_EVENTS_MAX_WORKERS, CELERY_UI_EVENTS_MAX_TASKS
logger = getLogger()
class... | null | celery_ui/events.py | events.py | py | 1,461 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "threading.Thread",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "threading.Thread.__init__",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "thr... |
633432425 | #!/usr/bin/env python
from setuptools import setup, find_packages
with open('README.md') as f:
long_description = f.read()
setup(
name='skuid',
version='1.0.0',
description='Simple coding exercise for Skuid',
long_description=long_description,
author='Joshua Goodlett',
author_email='josh... | null | setup.py | setup.py | py | 935 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "setuptools.setup",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "setuptools.find_packages",
"line_number": 18,
"usage_type": "call"
}
] |
207857732 | from flask import Flask, request
import json
app = Flask(__name__)
@app.route("/v1/subcenter", methods=["GET"])
def test():
tids = request.args.get("tids")
return json.dumps({"errno": 10000, "errmsg": "", "data": {"uids": ["letv_23212413"]}})
app.run(host="0.0.0.0", port=5000)
| null | notifyapi/ut/tsubcenter.py | tsubcenter.py | py | 289 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "flask.Flask",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "flask.request.args.get",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "flask.request.args",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "flask.request... |
614626035 | """
Normal way:
class Address:
def __init__(self,
name: str = "",
line1: str = "",
line2: str = "",
city: str = "",
state: str = "",
zip_code: str = ""
):
self.name: str = name
self.line1: str = line1
self.line2: str = line2
se... | null | ScratchWork/classes_constructors_attributes.py | classes_constructors_attributes.py | py | 1,740 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "dataclasses.dataclass",
"line_number": 23,
"usage_type": "name"
}
] |
65732137 | from functools import partial
from typing import Any, Callable, Dict, List, Optional, Union
import lvsfunc as lvf
import vapoursynth as vs
import vardefunc as vdf
from lvsfunc.kernels import BicubicSharp, Kernel, Spline36
from lvsfunc.util import get_prop
from vsutil import depth, get_w, get_y, iterate, join, plane
f... | null | [OPMan]/Seasonals [TV]/2011-3 - Summer/[a8370] Kamisama no Memo-chou/project_module/filter.py | filter.py | py | 10,007 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "vapoursynth.core",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "vapoursynth.VideoNode",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "lvsfunc.kernels.Kernel",
"line_number": 17,
"usage_type": "name"
},
{
"api_name"... |
184708683 | import pygame
from pygame.locals import *
from OpenGL.GL import *
from OpenGL.GLU import *
from OpenGL.GLUT import *
import ode
import traceback
import sys
import warnings
import scenes
import games
import players
from graphics import render, init_graphics, lights, cameras, textures
from math_classes.vectors import V... | null | rots/shadow_test.py | shadow_test.py | py | 3,199 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "physics_engine.physics.update_physics",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "physics_engine.physics",
"line_number": 35,
"usage_type": "name"
},
{
"api_name": "graphics.render.render_with_shadows",
"line_number": 42,
"usage_type": "call... |
329144608 | from pathlib import Path
import logging
import sys
from astrosource.analyse import find_variable_stars, photometric_calculations, calibrated_photometry
from astrosource.comparison import find_comparisons, find_comparisons_calibrated
from astrosource.detrend import detrend_data
from astrosource.eebls import plot_bls
fr... | null | astrosource/astrosource.py | astrosource.py | py | 5,379 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pathlib.Path",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "astrosource.utils.folder_setup",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "astrosource.utils.setup_logger",
"line_number": 39,
"usage_type": "call"
},
{
"api_na... |
228972600 | # -*- coding: utf-8 -*-
"""
Created on Fri Dec 20 11:24:16 2013
@author: ellen
"""
import numpy as np
import matplotlib.pyplot as plt
import ListUitpakken as get
data = np.loadtxt('data2.csv',
skiprows=1, delimiter=',').transpose()
N = 41 # number of points in x direction
M = 1 #... | null | ALLMEASUREMENTS/20140320/plotjes.py | plotjes.py | py | 801 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.loadtxt",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "ListUitpakken.ReShape",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "ListUitpakken.ReShape",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "ListUitpakk... |
402728904 | import pandas as pd
import time as _time
import requests
import numpy as np
import datetime
# from yahoo_finance_api import YahooFinance as yf
class YahooFinance:
def __init__(self, ticker, result_range='1mo', start=None, end=None, interval='15m', dropna=True):
"""
Return the stock data of the... | null | big_day.py | big_day.py | py | 16,788 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "time.mktime",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "time.strptime",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "time.mktime",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "time.strptime",
"line_numbe... |
343491812 | #!/usr/bin/env python
# coding: utf-8
# In[98]:
import numpy as np
import pandas as pd
from sklearn.ensemble import RandomForestClassifier
from sklearn.metrics import confusion_matrix
import numpy as np
from sklearn.metrics import roc_curve, plot_roc_curve
from sklearn.metrics import roc_auc_score
from sklearn.metr... | null | exploration_and_model_finalized.py | exploration_and_model_finalized.py | py | 15,706 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 61,
"usage_type": "call"
},
{
"api_name": "pandas.concat... |
306089999 | #!/usr/bin/python
# -*- coding: utf-8 -*-
#
# BallAndBrick
# Copyright (C) 2017 Hitesh Agarwal
#
# 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 3 of the License, or
# (... | null | TestGame.py | TestGame.py | py | 30,480 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "gi.require_version",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "pygame.time.Clock",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "pygame.time",
"line_number": 44,
"usage_type": "attribute"
},
{
"api_name": "pygame.mixer.mu... |
104641924 | from marketplace import Marketplace
import os
import sqlite3
from logbook import NullHandler, Logger
from six import with_metaclass, iteritems
from abc import ABCMeta, abstractmethod
from unittest import TestCase
def bases_mro(bases):
"""
Yield classes in the order that methods should be looked up fr... | null | enigmampc/test.py | test.py | py | 11,048 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "six.iteritems",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "six.with_metaclass",
"line_number": 64,
"usage_type": "call"
},
{
"api_name": "abc.ABCMeta",
"line_number": 64,
"usage_type": "argument"
},
{
"api_name": "abc.abstractmethod",... |
75148585 | import os
import sys
import ctypes
import serial.tools.list_ports
from mlx90640 import *
USB_VID = 1001
USB_PID = 32
def load_driver():
dev = MLX90640()
cfp = os.path.dirname(os.path.realpath(__file__))
machine = 'windows'
shared_lib_file = 'mlx90640_driver_evb9064x.dll'
if os.environ.get('OS','... | null | evb9064x/evb9064x.py | evb9064x.py | py | 2,457 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.dirname",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "os.path.realpath",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.environ.get",
"l... |
109706269 | # -*- coding: utf-8 -*-
"""
Created on Thu Nov 19 19:32:47 2015
@author: cassis
"""
import raytracingpack as rt
import numpy as np
import matplotlib.pyplot as plt
from matplotlib import gridspec
'''
Teste do ray tracing a partir da comparação entre o parâmetro de raio de
referência e o parâmetro de raio interpolado n... | null | python/ray_tracing/exemplo_raytracing.py | exemplo_raytracing.py | py | 1,658 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.arange",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "raytracingpack.pp_raytracing",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyp... |
502933390 | import os
from glob import glob
import threading
import multiprocessing
import signal
import sys
from datetime import datetime
from vectornet.preprocess import thinning
import cairosvg
from PIL import Image
import io
import xml.etree.ElementTree as et
import matplotlib.pyplot as plt
from vectornet.ops import *
clas... | null | vectornet/data_kanji.py | data_kanji.py | py | 14,051 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "glob.glob",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "glob.glob",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"li... |
425447192 | # -*- coding: utf-8 -*-
"""
Created on Sun Apr 15 18:33:00 2018
@author: User
"""
# Importing the Keras libraries and packages
from keras.models import Sequential, Model
from keras.layers import Convolution2D
from keras.layers import MaxPooling2D
from keras.layers import Flatten
from keras.layers import Den... | null | Scripts/CNNGenerator.py | CNNGenerator.py | py | 4,017 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "keras.models.Sequential",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "keras.layers.Convolution2D",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "keras.layers.MaxPooling2D",
"line_number": 29,
"usage_type": "call"
},
{
"api_... |
540004382 | from django.shortcuts import render
from .models import Student, StudentSerializer
from rest_framework.response import Response
from rest_framework import status
from rest_framework.views import APIView
from course.models import CourseRecord
from getid.views import session2openid
class StudentList(APIView):
def ge... | null | onlineClasses/student/views.py | views.py | py | 1,857 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "rest_framework.views.APIView",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "models.Student.objects.all",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "models.Student.objects",
"line_number": 11,
"usage_type": "attribute"
},
{
... |
244884172 | from uuid import UUID
from aiohttp import web
from pb_admin_api.models.paste import PasteSchema
schema = PasteSchema()
class PasteView(web.View):
async def delete(request):
result = await request.app['db'].pastes.delete_one(
{
'_id': UUID(request.match_info['id']).hex
... | null | pb_admin_api/views/paste.py | paste.py | py | 449 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pb_admin_api.models.paste.PasteSchema",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "aiohttp.web.View",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "aiohttp.web",
"line_number": 10,
"usage_type": "name"
},
{
"api_name":... |
594358758 | from fastapi import APIRouter, Response, status
import subprocess
import os
import json
from datetime import datetime
from gamechangerml.src.utilities import utils
from gamechangerml.api.fastapi.model_config import Config
from gamechangerml.api.fastapi.version import __version__
from gamechangerml.api.fastapi.settings ... | null | gamechangerml/api/fastapi/routers/controls.py | controls.py | py | 11,337 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "fastapi.APIRouter",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "gamechangerml.api.fastapi.model_loader.ModelLoader",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "gamechangerml.api.fastapi.version.__version__",
"line_number": 27,
"... |
425051712 | # coding: utf-8
from __future__ import unicode_literals
import re
import json
from collections import OrderedDict
from .common import InfoExtractor
class AnimevostIE(InfoExtractor):
_TESTS = [{
'url': 'https://animevost.org/tip/tv/1864-renai-boukun.html',
'info_dict': {
'title': 'Л... | null | youtube_dl/extractor/animevost.py | animevost.py | py | 3,655 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "common.InfoExtractor",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "re.UNICODE",
"line_number": 61,
"usage_type": "attribute"
},
{
"api_name": "re.UNICODE",
"line_number": 65,
"usage_type": "attribute"
},
{
"api_name": "re.UNICODE",
... |
184506736 | from django.contrib.auth.models import User
from django.shortcuts import render
# Create your views here.
from django.contrib import messages
from django.contrib.auth import authenticate, login, logout
from django.contrib.auth.decorators import login_required
from django.shortcuts import redirect, render
from django.... | null | account/views.py | views.py | py | 2,627 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "forms.SignUpForm",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.redirect",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "forms.SignUpForm",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "django.sh... |
44253146 | from unittest import TestCase, mock
from parameterized import parameterized
from src.CSVDataTable import CSVDataTable
from tests.unit_tests import logger_load, data_dir, t_load
# Testing Methodology Used
# 1. For Find Methods: Tested on testing CSV data
# 2. For Load & Save Methods: Tested on actual CSV data
# 3. F... | null | HW_Assignments/HW1_Template/tests/test_CSVDataTable.py | test_CSVDataTable.py | py | 13,554 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "unittest.TestCase",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "tests.unit_tests.logger_load",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "tests.unit_tests.t_load",
"line_number": 22,
"usage_type": "call"
},
{
"api_name":... |
63036278 | # -*- coding: utf-8 -*-
from __future__ import absolute_import
import datetime
import hashlib
import json
import logging
import os
import random
import re
import time
# handle python 2 and python 3 imports
try:
from urllib.parse import urlencode
import html.parser as htmlparser
except ImportError:
from ur... | null | src/imdbpie/imdbpie.py | imdbpie.py | py | 24,539 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "hashlib.sha1",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 61,
"usage_type": "attribute"
},
{
"api_name": "time.mktime",
"... |
448075062 | """
Check database if box needs to be done or not
Script example to put selfcal in progress status for box 21:
python db_update.py --box=21 --selfcal_inprogress
Script example to check selfcal and extract status for box 12:
python db_update.py --box=12 --check_selfcal --check_extract
Use following status:
* DONE -->... | null | database/db_update.py | db_update.py | py | 2,813 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "recalibration_db.SurveysDB",
"line_number": 35,
"usage_type": "call"
}
] |
54148750 | import urllib.request, urllib.parse, urllib.error
import xml.etree.ElementTree as ET
import ssl
ctx = ssl.create_default_context()
ctx.check_hostname = False
ctx.verify_mode = ssl.CERT_NONE
address = input('Enter location: ')
#URL: http://py4e-data.dr-chuck.net/comments_42.xml
#URL: http://py4e-data.dr-chuck.net/comm... | null | Web Services/XML.py | XML.py | py | 743 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "ssl.create_default_context",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "ssl.CERT_NONE",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "urllib.request.request.urlopen",
"line_number": 13,
"usage_type": "call"
},
{
"api_na... |
642211490 | # Licensed under the LGPL: https://www.gnu.org/licenses/old-licenses/lgpl-2.1.en.html
# For details: https://github.com/PyCQA/astroid/blob/master/LICENSE
"""Transform utilities (filters and decorator)"""
import itertools
import wrapt
# pylint: disable=dangerous-default-value
from astroid.exceptions import Inference... | null | proyecto1/ambiente1/ambiente1/Lib/site-packages/astroid/inference_tip.py | inference_tip.py | py | 2,317 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "itertools.tee",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "wrapt.decorator",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "astroid.exceptions.InferenceOverwriteError",
"line_number": 59,
"usage_type": "call"
}
] |
271650205 | import sys
import pygame
from bullet import Bullet
from zombie import Zombie
from time import sleep
def check_events(ai_settings,screen,tower,bullets):
#检查游戏事件
for event in pygame.event.get():
if event.type==pygame.QUIT:
sys.exit()
elif event.type==pygame.KEYDOWN:
if event.... | null | 塔防/game_function.py | game_function.py | py | 2,151 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pygame.event.get",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pygame.event",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "pygame.QUIT",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "sys.exit",
"lin... |
294628569 | import config
import hashlib
import boto3
import base64
from enum import Enum
import re
from sqlalchemy import func
import boto3
import json
import traceback
s3 = boto3.client('s3')
hash_md5 = hashlib.md5()
# s3 = boto3.client(
# 's3',
# aws_access_key_id=config.AWS_ID,
# aws_secret_access_key=config.AWS_... | null | bondback/helpers.py | helpers.py | py | 3,582 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "boto3.client",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "hashlib.md5",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "config.SECRET_SALT",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "base64.b64decode",
... |
247752595 | # coding: utf-8
import copy
import logging
import tools
import define
from define import TOKEN_HOUSE_CORE
from zbase.base.dbpool import get_connection_exception
from zbase.web.validator import T_INT, T_STR
log = logging.getLogger()
class Questions:
TABLE = 'questions'
TABLE_ID = 'id'
MUST_KEY = {
... | null | questions.py | questions.py | py | 7,470 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "zbase.web.validator.T_INT",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "zbase.web.validator.T_STR",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": ... |
2737941 | # -*- coding: utf-8 -*-
import locale
import logging
from django.conf import settings
from django.contrib.auth.models import Group
from apps.authentication.models import OnlineUser as User
from apps.mommy import Task, schedule
class SynchronizeGroups(Task):
@staticmethod
def run():
logger = logging.... | null | apps/authentication/mommy.py | mommy.py | py | 4,441 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "apps.mommy.Task",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "logging.getLogger",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "locale.setlocale",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "locale.LC_ALL",
... |
330751998 | # import the necessary packages
import cv2
import time
import imutils
# CONSTANTS
total_time = 300
W = 320 # Width of the images taken by the camera
H = 240 # Height of the images taken by the camera
if __name__ == "__main__":
version = 4
# Cameras Initialization
cameras = []
print("[INFO] Opening ... | null | demo/take_images.py | take_images.py | py | 1,716 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "cv2.VideoCapture",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "cv2.CAP_PROP_FOURCC",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "cv2.VideoWriter_fourcc",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "cv2.... |
236101324 | from tensorflow.examples.tutorials.mnist import input_data
import tensorflow as tf
import pandas as pd
import numpy as np
import sklearn.cross_validation as skcv
import csv
flags = tf.app.flags
FLAGS = flags.FLAGS
flags.DEFINE_string('data_dir', '/tmp/data/', 'Directory for storing data')
training_iters = 200000
bat... | null | Project4/project4.py | project4.py | py | 4,676 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "tensorflow.app",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "csv.writer",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "tensorflow.truncated_normal",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "tensorflow.... |
302545439 | # %load q01_plot_deliveries_by_team/build.py
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
ipl_df = pd.read_csv('data/ipl_dataset.csv', index_col=None)
ipl_df.head(2)
#print(ipl_df['batting_team'])
# Solution
def plot_deliveries_by_team():
iplGroupBy = ipl_df.groupby('batting_team').sum()
... | null | q01_plot_deliveries_by_team/build.py | build.py | py | 598 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pandas.read_csv",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.bar",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyp... |
68407321 | def emit_event(event_type, event_data, user=None, note=None, uid=None):
from events.models import Event
defaults = {
'user': user,
'event_note': note,
'event_type': event_type,
'event_data': event_data,
}
if uid is None:
Event.objects.create(**defaults)
else... | null | events/__init__.py | __init__.py | py | 389 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "events.models.Event.objects.create",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "events.models.Event.objects",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "events.models.Event",
"line_number": 12,
"usage_type": "name"
},
... |
105420412 | # # Unity ML-Agents Toolkit
from typing import Dict
from collections import defaultdict
from mlagents.trainers.optimizer.tf_optimizer import TFOptimizer
from mlagents.trainers.buffer import AgentBuffer
from mlagents.trainers.trainer import Trainer
from mlagents.trainers.exception import UnityTrainerException
from mlag... | null | ml-agents/mlagents/trainers/trainer/rl_trainer.py | rl_trainer.py | py | 3,028 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "typing.Dict",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "mlagents.trainers.components.reward_signals.RewardSignalResult",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "mlagents.trainers.trainer.Trainer",
"line_number": 14,
"usage_... |
617571854 | import requests
import json
import os
import requests
key = os.environ.get('rdtoken')
def criarLead(cliente, pedido):
url = "https://api.rd.services/platform/conversions?api_key="+key
payload = json.dumps({
"event_type": "CONVERSION",
"event_family": "CDP",
"payload": {
"conversion_identi... | null | clientflow/app/rd.py | rd.py | py | 832 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.environ.get",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "json.dumps",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "requests.request",
"line_... |
93386189 | import os
import numpy as np
import json
from PIL import Image
def normalization(I):
'''
This function normalize picture in windows
'''
I_norm = I.astype(float) * 2/ 255 - 1
I_norm = I_norm / np.sqrt(np.sum(I_norm * I_norm))
return I_norm
def smaller(I, k):
'''
This function reduce the... | null | run_predictions.py | run_predictions.py | py | 6,111 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.sqrt",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.sum",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.size",
"line_number": 18,... |
266607401 | import datasets
import time
def test_load_fashion_product_small():
t0 = time.time()
dataset = datasets.FashionProductSmall()
print(dataset)
count = 0
for i, d in enumerate(dataset):
print(i, d)
if d[0].size != (60, 80):
count += 1
print(count)
print(time.time()-... | null | submodules/datasets/tests/test_fashion.py | test_fashion.py | py | 592 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "time.time",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "datasets.FashionProductSmall",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "datasets.FashionProduc... |
389660160 | #!/usr/bin/env python
# coding=utf-8
#中译英
import json
import nltk
import numpy as np
from nltk.translate import ibm1,AlignedSent,Alignment,PhraseTable,stack_decoder
def translation_model_generation():
bilingual_text = []
english_file = open("english_tokens.json","r")
english_text = english_file.read()
... | null | SMT.py | SMT.py | py | 1,979 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "json.loads",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "nltk.translate.AlignedSent",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "nltk.translate.ibm1.... |
54416648 | from js9 import j
JSBASE = j.application.jsbase_get_class()
class CodeDirs(JSBASE):
def __init__(self):
JSBASE.__init__(self)
self.path = j.dirs.CODEDIR
self.load()
def load(self):
data = j.core.state.stateGetFromDict("develop", "codedirs", "")
self.tree = j.data.tre... | null | JumpScale9/tools/develop/CodeDirs.py | CodeDirs.py | py | 5,548 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "js9.j.application.jsbase_get_class",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "js9.j.application",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "js9.j",
"line_number": 3,
"usage_type": "name"
},
{
"api_name": "js9.j.di... |
464553364 | from jira import JIRA
from tkinter import *
from prettytable import PrettyTable
class Extractor:
def __init__(self, master):
self.master = master
self.jira = self.initialization()
self.create_widgets()
self.jql = None
self.project_name = None
self.compon... | null | main.py | main.py | py | 2,801 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "jira.JIRA",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "prettytable.PrettyTable",
"line_number": 57,
"usage_type": "call"
}
] |
578277142 | # import required libraries
import numpy as np
import matplotlib.pyplot as plt
import cv2
import math
from numpy.core.numerictypes import maximum_sctype
def regionOfInterest(img, vertices):
mask = np.copy(img)*0
cv2.fillPoly(mask, vertices, 255)
masked_image = cv2.bitwise_and(img,mask)
return masked_i... | null | code/modelcam.py | modelcam.py | py | 4,481 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.copy",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "cv2.fillPoly",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "cv2.bitwise_and",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "cv2.VideoCapture",
"line_... |
481694521 | import os
import sys
import argparse
import numpy as np
import subprocess
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
sys.path.append('lib/')
import analysis_utils as au
import timeit
from scipy.optimize import curve_fit
import pickle as pk
import h5_io as h5
import h5py
import CythonModules... | null | Sigma_term_conn.py | Sigma_term_conn.py | py | 39,650 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "matplotlib.use",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "sys.path.append",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "numpy.sqrt",
"line_numb... |
336056196 | #!/usr/bin/python
import wsgiref.handlers
import forbidden
import login
import notFound
import ok
from printUsers import getUserProfiles, countUserProfiles
from cgi import parse_qs
#import cgitb; cgitb.enable()
__author__ = 'WS02admin'
import genHTML
def printAlphabetChooser():
return 'a'
def printPage(environ, ... | null | browse.py | browse.py | py | 1,898 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "login.isLoggedIn",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "login.getLoginToken",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "forbidden.forbidden",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "cgi.parse_qs... |
422556595 | from django.conf.urls import url
from . import views
from rest_framework import routers
urlpatterns = [
url(r'^$', views.index, name='index'),
url(r'^login/', views.login, name='login'),
url(r'^logout/', views.logout, name='logout'),
url(r'^avatar/(?P<profile_id>[0-9]+)/$', views.avatar, name... | null | pokerscores/api/urls.py | urls.py | py | 809 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.conf.urls.url",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.co... |
334511938 | import json
import multiprocessing as mp
import pickle
import threading
import fire
import flask
from logzero import logger
import numpy as np
# Run Keras model in a separate process
def net_worker(job_q, res_q, model_path):
import ddnet
from keras import backend as K
import tensorflow as tf
config... | null | ddnet/app.py | app.py | py | 5,719 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "tensorflow.ConfigProto",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "tensorflow.Session",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "keras.backend.set_session",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "k... |
213858179 | import datetime
import itertools
import unittest
from spotify_spire import proto_utils, spire_pb2
from spotify_spire_node import job, task
from spotify.util import mock10 as mock
class MockedDatetime(datetime.datetime):
@classmethod
def utcnow(cls):
return cls(2010, 11, 12, 13, 14, 15)
class StatusTe... | null | test/task_test.py | task_test.py | py | 5,351 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "datetime.datetime",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "unittest.TestCase",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "spotify_spire.spire_pb2.TS_UNKNOWN",
"line_number": 17,
"usage_type": "attribute"
},
{
... |
192254995 | import re
import scrapy
from scrapy import log
from scrapy.contrib.spiders import CrawlSpider, Rule
from scrapy.contrib.linkextractors import LinkExtractor
from w3lib.html import remove_tags
from html2text import HTML2Text
from abstracts.items import AbstractItem
def css2xpath(css):
"""Utility function to conve... | null | abstracts/abstracts/spiders/mrs_org.py | mrs_org.py | py | 5,510 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "scrapy.Selector",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "scrapy.contrib.spiders.CrawlSpider",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "scrapy.contrib.spiders.Rule",
"line_number": 25,
"usage_type": "call"
},
{
"ap... |
419763416 | import torch
import torch.autograd as autograd
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
import math
# Starting and ending tokens
START_TOKEN = 'START_TOKEN'
END_TOKEN = 'END_TOKEN'
UNK_TOKEN = 'UNK'
def evaluate(dataset, encoder, decoder, word_to_index):
sequence_length... | null | evaluate_model.py | evaluate_model.py | py | 1,509 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "torch.autograd.Variable",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "torch.autograd",
"line_number": 35,
"usage_type": "name"
},
{
"api_name": "torch.LongTensor",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "torch.autogra... |
100194834 | import json
import os
from numpy import load
validation_count = 0
# Check if data folder exists or not
def initial_setup():
if not os.path.exists('app_data'):
os.makedirs('app_data')
os.makedirs('app_data/event')
os.makedirs('app_data/validataion')
os.makedirs('app_data/automata')... | null | VarysCode/service/FileHandler.py | FileHandler.py | py | 1,511 | 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": "os.makedirs",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.makedirs",
"line_numbe... |
358734003 | import sys
from PyQt5.QtWidgets import (QMainWindow, QPushButton, QWidget, QAction,
QApplication, QFileDialog, QHBoxLayout, QLabel, QSizePolicy, QSlider,
QStyle, QVBoxLayout, QRubberBand)
from PyQt5.QtMultimedia import QMediaContent, QMediaPlayer
from PyQt5.QtMultimediaWidgets import QVideoWidget
from PyQt5.QtC... | null | src/old(PyQt5)/main.py | main.py | py | 4,992 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "PyQt5.QtWidgets.QMainWindow",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtMultimedia.QMediaPlayer",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtMultimedia.QMediaPlayer.VideoSurface",
"line_number": 26,
"usage_type... |
279924977 | import exam
import pytest
from pathlib import Path
from utility import safe_int
import random
def test_answer_load0():
"""test empty iterator without attribute:
StopIteration must not be raised
"""
a = exam.Answer()
a.load_sequentially(iter(tuple()))
assert True
def test_answer_load1():
... | null | tests/unit/test_exam.py | test_exam.py | py | 31,208 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "exam.Answer",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "exam.Answer",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "exam.Answer",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "pytest.raises",
"line_number"... |
441329358 | from django.http.response import HttpResponse
from meuapp.models.Classificacao import CLASSIFICACAO_CHOICE
from meuapp.models import Classificacao
from django.http.request import HttpRequest
from django.shortcuts import render
def create_category(request: HttpRequest):
if request.method == 'GET':
category_type ... | null | meuapp/views/classificacao.py | classificacao.py | py | 794 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.http.request.HttpRequest",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "meuapp.models.Classificacao.CLASSIFICACAO_CHOICE",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "django.shortcuts.render",
"line_number": 11,
"usage_type"... |
158440385 | #!/usr/bin/python3
# -*- coding:utf-8 -*-
from typing import List
class Solution:
def findPeakElement(self, nums: List[int]) -> int:
for i in range(len(nums) - 1):
if nums[i] > nums[i + 1]:
return i
return len(nums) - 1
if __name__ == '__main__':
s = Solution()
... | null | 数组/162.py | 162.py | py | 386 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "typing.List",
"line_number": 7,
"usage_type": "name"
}
] |
30798056 | #****************************************************
# Import Packages
import time
import http.client, urllib
import json
import sys
# import Adafruit_SSD1306
# from PIL import Image
# from PIL import ImageDraw
# from PIL import ImageFont
from pynput.keyboard import Key, Listener
from mcs_functions import *
#**... | null | lab3/second_rpi/temp/control_local_pc.py | control_local_pc.py | py | 2,930 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pynput.keyboard.Key.space",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "pynput.keyboard.Key",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "pynput.keyboard.Key.space",
"line_number": 56,
"usage_type": "attribute"
},
{
... |
316046251 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Time : 2/24/2018 4:12 PM
# @Author : Siyuan(Saiun)
# @Site :
# @File : main.py.py
# @Software: PyCharm Community Edition
import sys, os
import win32gui, win32con, win32com.client
import queue
from PyQt5.QtWidgets import QApplication, QMainWindow, QFileDialog, ... | null | rw.py | rw.py | py | 16,448 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "PyQt5.QtCore.QThread",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtCore.pyqtSignal",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "win32com.client.client.Dispatch",
"line_number": 34,
"usage_type": "call"
},
{
"api_... |
567690904 | import sys
from b2ghelper import B2gWebappjsonManager
if sys.version_info >= (2, 7):
from argparse import ArgumentParser
else:
raise Exception('It has only been tested on Python 2.7 and above.')
def parseArgs():
'''Parse arguments'''
parser = ArgumentParser(description='Create a webapps.json to add we... | null | addwebapp.py | addwebapp.py | py | 716 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sys.version_info",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "b2ghelper.... |
159841811 | # 모듈로딩 -------------------------------------------------
from openpyxl import Workbook
# 데이터 변수 선언 -------------------------------------------
filename = '../DATA/sample02.xlsx'
names=['Name','Tom', 'Jane', 'Park', 'Kim']
ages=['Age', 14, 21, 19, 20]
# 엑셀 파일 생성 --------------------------------------------
wb = Workbo... | null | PythonAI/Source/W1D5/EXCEL/excel_write_basic_02.py | excel_write_basic_02.py | py | 1,127 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "openpyxl.Workbook",
"line_number": 10,
"usage_type": "call"
}
] |
125112182 | import json
from pathlib import Path
from typing import Union
from urllib import parse as urlparse
from urllib.request import urlopen
import httpx
import yaml
from jsonref import JsonRef, JsonLoader
class JSONOrYAMLRefLoader(JsonLoader):
"""
Replacement for `jsonref.JsonLoader`
Can load both json and ya... | null | openapi_orm/loader.py | loader.py | py | 1,425 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "jsonref.JsonLoader",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "urllib.parse.urlsplit",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "urllib.parse",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "httpx.get",
... |
492769186 | #!/usr/bin/env python
import sys
from copy import copy, deepcopy
import serial
import struct
import time
class Ship:
'Common base class for all ships'
shipCount = 0
def __init__(self, length, sunk, orientation, locations):
self.length = length
#self.sunk = sunk
self.orientation = orientation #might not eve... | null | ooRaspi.py | ooRaspi.py | py | 49,912 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "time.sleep",
"line_number": 760,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 1157,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 1207,
"usage_type": "call"
},
{
"api_name": "serial.Serial",
"line_numbe... |
6255554 |
from . import views
from django.urls import path
from django.conf.urls import include, url
app_name = 'orders'
urlpatterns = [
url(r'^create/$', views.order_create, name='order_create'),
path('create/<str:cart>', views.order_create2, name='order_create2'),
url(r'^likePost/(?P<pk>[0-9]+)/$', views.likePo... | null | orders/urls.py | urls.py | py | 573 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.conf.urls.url",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "django.con... |
482580393 | from http import HTTPStatus
from itertools import islice
import sys, io, struct, socket, select
from .utils import status_phrase
FILE_EXTENSION_TO_MIME = {
'.html': 'text/html',
'.css': 'text/css',
'.json': 'application/json',
}
class HttpConnection:
"""Deals with parsing HTTP request and sending finalized respo... | null | web_server/http_connection.py | http_connection.py | py | 2,911 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "itertools.islice",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "http.HTTPStatus.OK",
"line_number": 50,
"usage_type": "attribute"
},
{
"api_name": "http.HTTPStatus",
"line_number": 50,
"usage_type": "name"
},
{
"api_name": "select.selec... |
467307264 | # Concentration analysis
# Input
#G0S1.txt-G2S2.txt
#wavenumber.txt
#Compounds from database
#Directory of standard compounds
# To do:
#- Perform (nonlinear) least squares regression on all compounds (too slow?)
# - Filter out compounds:
# - Dump all with concentration<whatever ... | null | Python scripts/Unfinished/spectrum_from_concentration.py | spectrum_from_concentration.py | py | 2,966 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.sep",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "re.compile",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "re.match",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "os.getcwd",
"line_number": 29,
... |
171636019 | # Copyright 2014-2015 PUNCH Cyber Analytics Group
#
# 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 | connector/fluentd/fluentd/fluentd.py | fluentd.py | py | 1,969 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "stoq.plugins.StoqConnectorPlugin",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "stoq.plugins",
"line_number": 34,
"usage_type": "name"
},
{
"api_name": "fluent.sender.FluentSender",
"line_number": 70,
"usage_type": "call"
}
] |
110948165 | """Cryptocurrency Discovery Controller"""
__docformat__ = "numpy"
# pylint: disable=R0904, C0302, W0622
import argparse
import os
from prompt_toolkit.completion import NestedCompleter
from gamestonk_terminal import feature_flags as gtff
from gamestonk_terminal.helper_funcs import get_flair
from gamestonk_terminal.menu... | null | gamestonk_terminal/cryptocurrency/discovery/discovery_controller.py | discovery_controller.py | py | 6,390 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "os.system",
"line_number": 108,
"usage_type": "call"
},
{
"api_name": "gamestonk_terminal.cryptocurrency.cryptocurrency_helpers.all_coins",
"line_number": 129,
"usage_type":... |
300171010 | import copy
from anytree import Node
from pydnameth.config.config import Config
from pydnameth.config.experiment.types import Task, Method
from pydnameth.config.experiment.experiment import Experiment
from pydnameth.config.attributes.attributes import Observables, Cells, Attributes
from pydnameth.model.tree import buil... | null | pydnameth/scripts/develop/plot.py | plot.py | py | 2,539 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pydnameth.config.experiment.types.Method.linreg",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "pydnameth.config.experiment.types.Method",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "pydnameth.config.config.Config",
"line_number":... |
134384996 | import numpy as np
import cv2
import pickle
face_cascade = cv2.CascadeClassifier('Cascades/data/haarcascade_frontalface_alt2.xml')
eye_cascade = cv2.CascadeClassifier('Cascades/data/haarcascade_eye.xml')
recognizer = cv2.face.LBPHFaceRecognizer_create()
recognizer.read("trainner.yml")
labels = {"person_name":1}
wit... | null | scr/faces.py | faces.py | py | 1,799 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "cv2.CascadeClassifier",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "cv2.CascadeClassifier",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "cv2.face.LBPHFaceRecognizer_create",
"line_number": 8,
"usage_type": "call"
},
{
"api_n... |
204445307 | from appium import webdriver
import unittest
import time
from pytest_testconfig import config
timeout = 30
poll = 2
class IAppBVT(unittest.TestCase):
def setUp(self):
desired_caps = {
"platformName": "Android",
"deviceName": "192.168.31.188:9999",
"udid": "192.168.31.188:9999",
... | null | test_androidSample.py | test_androidSample.py | py | 1,664 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "unittest.TestCase",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "appium.webdriver.Remote",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "appium.webdriver",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "time.... |
405857867 | import matplotlib
from matplotlib import pyplot as plt
import pandas as pd
from libs import datalib
file_name = 'Trial_3_data'
data = datalib.get_data(file_name)
matplotlib.style.use('classic')
# matplotlib.style.use('ggplot')
data.plot(
x=0,
y=[1,2,3],
kind='line',
ax=None,
subplots=True,
... | null | grapher.py | grapher.py | py | 841 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "libs.datalib.get_data",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "libs.datalib",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "matplotlib.style.use",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "matplotlib.styl... |
203249505 | #!/usr/bin/env python
# coding: utf-8
import uuid
import datetime
import authorization
from google.appengine.ext import ndb
from google.appengine.api import search
from google.appengine.ext import deferred
from model.address import (
Address, Tel, Email, Url, Note, JournalItem, Anniversary
)
from model.address_his... | null | application/common/addresses.py | addresses.py | py | 31,890 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "authorization.check_authorization",
"line_number": 155,
"usage_type": "call"
},
{
"api_name": "authorization.ADDRESS_CREATE",
"line_number": 155,
"usage_type": "attribute"
},
{
"api_name": "datetime.datetime.utcnow",
"line_number": 165,
"usage_type": "call"... |
125068300 | #!/usr/bin/env python3
"""Program that creates and trains a genism fastText model"""
from gensim.models import FastText
def fasttext_model(sentences, size=100, min_count=5, negative=5, window=5,
cbow=True, iterations=5, seed=0, workers=1):
"""Function that creates and trains a genism fastText m... | null | supervised_learning/0x0F-word_embeddings/4-fasttext.py | 4-fasttext.py | py | 662 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "gensim.models.FastText",
"line_number": 9,
"usage_type": "call"
}
] |
378238754 | """Create a logger"""
import os
import logging
import sys
import time
from pathlib import Path
# Get the path to the home directory for the current user and create an 'lcmap_tap' subfolder
HOME = os.path.join(str(Path.home()), 'lcmap_tap')
__version__ = '0.3.2'
if not os.path.exists(HOME):
os.ma... | null | lcmap_tap/logger.py | logger.py | py | 1,428 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.join",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "pathlib.Path.home",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_... |
15515216 | from typing import List
from cs54_list import nil, head, tail, add, instance_as_list
from cs54_tools import read_instances
def croissante(list: List[str]) -> bool:
if nil(list) or nil(tail(list)):
return True
elif head(list) > head(tail(list)):
return False
else:
return croissante(... | null | S5/CS54/Algo/Cours/cs54-lab2-solution/croissante.py | croissante.py | py | 843 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "typing.List",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "cs54_list.nil",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "cs54_list.tail",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "cs54_list.head",
"line_numb... |
183074585 | # Copyright 2017 Google Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or a... | null | upvote/gae/modules/upvote_app/api/handlers/constants_test.py | constants_test.py | py | 1,923 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "upvote.gae.shared.common.basetest.UpvoteTestCase",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "upvote.gae.shared.common.basetest",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "webapp2.WSGIApplication",
"line_number": 29,
"usa... |
549646924 | import discord
import threading
import asyncio
# 원죄위키에서 붙여넣기 하세요~~
# 원죄위키에서 붙여넣기 하세요~~
client = discord.Client()
class AlertMessage:
def __init__(self):
self.msg_to_push = []
def get_msg(self):
return self.msg_to_push.pop(0) if len(self.msg_to_push) > 0 else (False, False)
ALERT_MSG =... | null | Server/_discord.py | _discord.py | py | 1,168 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "discord.Client",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "discord.Object",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "asyncio.sleep",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "threading.Thread",
"l... |
651690491 | import numpy as np
from utils import simu_block_log
from simus import run_log
from sklearn.linear_model import LogisticRegression
# Parameters
n_samples = 10000 # number of samples
n_features = 250 # dimension of the problem
𝜆 = 1/(n_samples)#regularization parameter
# Simulate data for regression
seed=0
puiss=5... | null | code/StoFirstOrder_optimization/linear_models/scripts/logistic_alpha5.py | logistic_alpha5.py | py | 2,823 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "utils.simu_block_log",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "sklearn.linear_model.LogisticRegression",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "numpy.log",
"line_number": 25,
"usage_type": "call"
},
{
"api_name":... |
608059440 | #-*-coding:utf-8-*-
import requests
import time
#from fake_useragent import UserAgent
import re
import threading
import random
import os
import sys
import codecs
import csv
import sys
import unittest
import tushare.stock.trading as fd
import os
from sqlalchemy import create_engine
from sqlalchemy.orm im... | null | fund/fundcrawler.py | fundcrawler.py | py | 13,987 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sys.setdefaultencoding",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "requests.get... |
386276874 | import os
import numpy as np
import matplotlib.pyplot as plt
from matplotlib import cm # import colormaps
def plotModified(reference, histo, color = 1 ):
# plot original histogram (reference) with ones resampled from it (histo),
# histo is either an array of histograms or a single histogram.
# refere... | null | DatasetCrafting/plotters.py | plotters.py | py | 6,274 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "matplotlib.cm.viridis",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "matplotlib.cm",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "numpy.linspace",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "matplotlib.cm.plas... |
83820138 | from argparse import ArgumentParser
from datetime import datetime, timezone
from io import StringIO, TextIOWrapper
import glob
import itertools
import os
import re
import xml.etree.ElementTree as etree
import zipfile
fns= '{xmlns://www.fortifysoftware.com/schema/fvdl}'
VULN_PATH = f'{fns}Vulnerabilities/{fns}Vulnerab... | null | src/fpr/fvdl.py | fvdl.py | py | 9,806 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "re.compile",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "io.StringIO",
"line_number": 66,
"usage_type": "call"
},
{
"api_name": "xml.etree.ElementTree.iterparse",
"line_number": 67,
"usage_type": "call"
},
{
"api_name": "xml.etree.Elem... |
515881307 | """
@author: viet
This program draws bounding boxes around numbers in the modified-MNIST
Please don't use
"""
import pickle
import pandas as pd
import numpy as np
import PIL.Image as pil
import matplotlib.pyplot as plt
import random as rng
import cv2 as cv
from models import load_data, view_image
print(__doc__)
da... | null | models/boundingbox_drawing.py | boundingbox_drawing.py | py | 2,424 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "models.load_data",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "random.seed",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "cv2.Canny",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "cv2.findContours",
"line_n... |
283517946 | import torch
from transformers import AutoTokenizer, AutoModelForSequenceClassification
import sys
model_dir = '/app/python/model'
tokenizer = AutoTokenizer.from_pretrained(model_dir, use_fast=False)
model = AutoModelForSequenceClassification.from_pretrained(model_dir)
model.eval()
text = sys.argv[1]
prin... | null | server/python/test.py | test.py | py | 605 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "transformers.AutoTokenizer.from_pretrained",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "transformers.AutoTokenizer",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "transformers.AutoModelForSequenceClassification.from_pretrained",
"line_n... |
413928947 | import cPickle
import mxnet as mx
import numpy as np
import cv2
def extractImagesAndLabels(path, file):
f = open(path + file, 'rb')
dict = cPickle.load(f)
images = dict['data']
images = np.reshape(images, (10000, 3, 32, 32))
labels = dict['labels']
imagearray = mx.nd.array(images)
... | null | createImages.py | createImages.py | py | 1,092 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "cPickle.load",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.reshape",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "mxnet.nd.array",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "mxnet.nd",
"line_number"... |
303371196 | import json
from typing import Optional
class BasePacket:
"""
Base packet class
"""
command = str()
def __init__(self,
topic: str,
uid: Optional[str] = None,
timestamp: Optional[int] = None,
config_hash: Optional[str] = None... | null | skabenproto/packets.py | packets.py | py | 5,896 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "typing.Optional",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "json.dumps",
"lin... |
579890953 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
#
# Copyright 2018 <boutin_arnaud@hotmail.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.... | null | src/core/StreamVocal.py | StreamVocal.py | py | 9,201 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "gi.require_version",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "gi.repository.Gst",
"line_number": 35,
"usage_type": "name"
},
{
"api_name": "core.PATH_VOCAL",
"line_number": 37,
"usage_type": "argument"
},
{
"api_name": "core.KEYPHRA... |
211511551 | #!/usr/bin/python
# -*- coding: utf-8 -*-
import argparse
import sys
import json
import socket
import threading
import time
from tools.settings import *
from tools.funcs import *
import logging
import logs.client_log
from decorators import log
logger = logging.getLogger('client_log')
print('Messenger')
# function - ... | null | hw7/client.py | client.py | py | 5,312 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "decorators.log",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "time.time",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "decorators.log",
"line... |
211212520 | # coding: utf-8
from pprint import pprint
from collections import OrderedDict, defaultdict
from getpass import getpass
import multiprocessing as mp
import argparse, sys, os, time, json, subprocess, re, itertools, random, itertools, codecs
from common import str2bool, timewatch, multi_process
try:
import pickle as p... | null | wp_extract_all.py | wp_extract_all.py | py | 15,020 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.join",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_nu... |
204753901 | import datetime
import functools
import logging
import sys
import time
import traceback
import schedule
sys.path.append("./../")
from PublicOpinion.jfinfo.jfinfo_runner import JFSchedule
from PublicOpinion.takungpao.takungpao_runner import TakungpaoSchedule
logger = logging.getLogger()
def catch_exceptions(cancel_... | null | PublicOpinion/main_1.py | main_1.py | py | 1,654 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sys.path.append",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "traceback.format_exc",
... |
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