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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
6555235 | import scrapy
from ..items import GuaziItem
class GuaziSpider(scrapy.Spider):
name = 'guazi2'
allowed_domains = ['www.guazi.com']
#重写start_url start_requests()方法
def start_requests(self):
"""生成所有的url地址，一次性交给调度器"""
for i in range(1,6):
url = 'https://www.guazi.com/ty/buy/o... | null | Spider/day08/Guazi/Guazi/spiders/guazi2.py | guazi2.py | py | 962 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "scrapy.Spider",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "scrapy.Request",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "items.GuaziItem",
"line_number": 18,
"usage_type": "call"
}
] |
565145640 | from django.test import TestCase
from django.urls import reverse
from complaint.apps import ComplaintConfig
from complaint.models import Complaint
from django.utils import timezone
class ComplaintConfigTest(TestCase):
def test_apps(self):
self.assertEqual(ComplaintConfig.name, "complaint")
class Complai... | null | complaint/tests.py | tests.py | py | 2,300 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.test.TestCase",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "complaint.apps.ComplaintConfig.name",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "complaint.apps.ComplaintConfig",
"line_number": 10,
"usage_type": "name"
}... |
43966129 | import json
import datetime
from collections import Counter
import json
import datetime
import sys
out = {"books": [], "cds": [], "films": []}
everything = {"library": {}}
helabiblan = "my_library_register.json"
def get_inputs_book():
#user input to record the log
dbok = {}
print("***********... | null | tonymain.py | tonymain.py | py | 8,879 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "json.dump",
"line_number": 105,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 112,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 112,
"usage_type": "attribute"
},
{
"api_name": "datetime.da... |
464662086 | import codecs
from scrapy.crawler import CrawlerProcess
from scrapy.utils.project import get_project_settings
from scrapy.utils.log import configure_logging
from website_scraper.spiders.presales_spider import PresalesSpider
from elasticsearch import Elasticsearch
from urlparse import urlparse, urlunparse
ELASTICSEA... | null | presales_scraper/scrape_companies.py | scrape_companies.py | py | 3,142 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "elasticsearch.Elasticsearch",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "codecs.open",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "urlparse.urlparse",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "urlparse.ur... |
392703441 | from math import sqrt, atan2, log
import pygame.gfxdraw as gfx
import pygame
NICE = True
if NICE:
def line(surface, colour, start, end, width=1):
dx = end[0] - start[0]
dy = end[1] - start[1]
linelength = sqrt(dx * dx + dy * dy)
if linelength == 0:
return
dx... | null | animlib/draw.py | draw.py | py | 3,050 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "math.sqrt",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pygame.gfxdraw.filled_polygon",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "pygame.gfxdraw",
"line_number": 32,
"usage_type": "name"
},
{
"api_name": "pygame.gfxdraw... |
335574123 | from stdnet.exceptions import *
from stdnet.utils import encoders
from .fields import Field
from . import related
from .struct import *
__all__ = ['ManyFieldManagerProxy',
'Many2ManyManagerProxy',
'MultiField',
'SetField',
'ListField',
'HashField']
... | null | stdnet/orm/std.py | std.py | py | 8,337 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "fields.Field",
"line_number": 69,
"usage_type": "name"
},
{
"api_name": "stdnet.utils.encoders.Json",
"line_number": 111,
"usage_type": "call"
},
{
"api_name": "stdnet.utils.encoders",
"line_number": 111,
"usage_type": "name"
},
{
"api_name": "stdne... |
397230784 | from __future__ import print_function
from PIL import Image
from numpy import clip
from math import pi,atan2,hypot,floor
import os
import shutil
import time
restriction=['Cancel', 'cancel', 'CANCEL', ' Cancel', ' cancel', ' CANCEL', 'Cancel ', 'cancel ', 'CANCEL ']
print("Wirte a direction as the example or w... | null | Python Converter/360image.py | 360image.py | py | 11,487 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.walk",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "os.mkdir",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "math.atan2",
"line_number": 68,
"usage_type": "call"
},
{
"api_name": "math.hypot",
"line_number": 69,
"... |
575439170 | #-*- coding:utf-8 -*-
'''
Normal Distribution, also called Gaussian Distribution
'''
import numpy as np
import matplotlib.pyplot as plt
def simple_plot():
x = np.linspace(0, 10, 10000)
y = np.random.normal(0, x)
z = np.cos(x**2)
plt.figure(figsize = (8, 4))
plt.plot(x, y, label = "sin(x)", color ... | null | python/distribution/Gaussian.py | Gaussian.py | py | 1,404 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "numpy.linspace",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.random.normal",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "numpy.cos",
... |
512803119 | from django.contrib.auth import authenticate, login
from django.shortcuts import redirect
from django.views.decorators.csrf import csrf_exempt
from .models import *
from django.http import HttpResponse
from django.core import serializers
from app.settings import PROJECT_ROOT
import json
import os
@csrf_exempt
def logi... | null | skalvi/ApiFunctions.py | ApiFunctions.py | py | 6,023 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.contrib.auth.authenticate",
"line_number": 61,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.login",
"line_number": 76,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.redirect",
"line_number": 81,
"usage_type": "call"
},
{
... |
295428308 | import os
import yaml
import torch
import nibabel as nib
import numpy as np
import pandas as pd
import torch.nn as nn
import torch.nn.functional as F
from torch import optim
import time
import pickle
from torch.utils.data import Dataset, DataLoader
from torch.optim.lr_scheduler import LambdaLR,MultiStepLR
import matplo... | null | Models/Model 1/Additional Hyperparameter Tuning Scripts/pretrained_point001_point6.py | pretrained_point001_point6.py | py | 5,721 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "sys.path.insert",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number... |
624394066 | # 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.macosx-10.7-x86_64/egg/airflow/contrib/sensors/aws_sqs_sensor.py
# Compiled at: 2019-09-11 03:47:34
# Size of source mod 2**32: 3692 bytes
from airflo... | null | pycfiles/apache_airflow_arup-1.10.5-py3.6/aws_sqs_sensor.cpython-36.py | aws_sqs_sensor.cpython-36.py | py | 2,946 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "airflow.sensors.base_sensor_operator.BaseSensorOperator",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "airflow.utils.decorators.apply_defaults",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "airflow.contrib.hooks.aws_sqs_hook.SQSHook",
... |
521203540 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import migrations, models
import parler.models
import aldryn_translation_tools.models
import django.contrib.postgres.fields
import djangocms_text_ckeditor.fields
class Migration(migrations.Migration):
dependencies = [
('aldry... | null | aldryn_people/migrations/0020_auto_20170228_1549.py | 0020_auto_20170228_1549.py | py | 3,217 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.db.migrations.Migration",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "django.db.migrations",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "django.db.migrations.CreateModel",
"line_number": 18,
"usage_type": "call"
},
... |
395763368 | import cv2
import numpy as np
from keras.models import model_from_json
import base64
import face.CNN_MODEL as cnn
def predict_emotion(face_image_gray,sess):
resized_img = cv2.resize(face_image_gray, (48,48), interpolation = cv2.INTER_AREA)
pixel = np.zeros((48,48))
for i in range(48):
for j in range... | null | face/FACE.py | FACE.py | py | 1,127 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "cv2.resize",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "cv2.INTER_AREA",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "numpy.zeros",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "face.CNN_MODEL.Predict",
... |
265298716 | import sys
import constants as c
from config import Config
from irc.session import Session
from lunatic import Lunatic
def main():
c.write("Lunatic started")
if c.DEBUG:
config = Config("lunatic.yaml.debug")
else:
config = Config("lunatic.yaml")
config.load()
irc_session = Sess... | null | lunatic/__main__.py | __main__.py | py | 478 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "constants.write",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "constants.DEBUG",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "config.Config",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "config.Config",
... |
114608526 | #!/bin/env python
# -*- coding:UTF8 -*-
#菜鸟教程: http://www.runoob.com/python3/python-mongodb.html
import time
import pymongo
from datetime import datetime
from datetime import timedelta
from pymongo import MongoClient
from pymongo.collation import Collation
import re
import os
import sys
path='./include'
sys.path.ins... | null | tools/mongo_index.py | mongo_index.py | py | 2,391 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "sys.path.insert",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "functions.get_config",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "functions.get_conf... |
107261190 | import pandas as pd
import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt
from sklearn.preprocessing import StandardScaler
def normalizer(x):
m = x.shape[0]
x = x - np.mean(x)
x = (x * m) / (np.sum(x ** 2))
# x = x - np.mean(x)
# x = x / np.sqrt(np.sum(x**2) / len(x) - 1)
re... | null | codes/preprocessing.py | preprocessing.py | py | 15,810 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "numpy.mean",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.sum",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_num... |
294036281 | import settings
import packages.ipm_cloud_postgresql.model as model
import bth.interacao_cloud as interacao_cloud
from datetime import datetime
def iniciar():
print(':: Iniciando migração do sistema Protocolo')
global ano_inicial
# ano_inicial = 2000
ano_inicial = input("Ano inicial para migração: ")
... | null | packages/ipm_cloud_postgresql/frotas/enviar.py | enviar.py | py | 3,519 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "bth.interacao_cloud.verifica_token",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "bth.interacao_cloud",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "datetime.datetime.now",
"line_number": 51,
"usage_type": "call"
},
{
"api_... |
370308293 | # Import Table, Column, String, Integer, Float, Boolean from sqlalchemy
from sqlalchemy import create_engine, MetaData, Table, Column, String, Integer, Float, Boolean
engine = create_engine('sqlite://') # in memory
metadata = MetaData()
# Define a new table with a name, count, amount, and valid column: data
data = T... | null | datacamp/sqlalchemy/create_table.py | create_table.py | py | 1,060 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "sqlalchemy.create_engine",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.MetaData",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Table",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sqlalchemy... |
292007069 | # map
# filter
# reduce
# numbers = ["3","34","64"]
#
# # for i in range(len(numbers)) :
# # numbers[i] = int(numbers[i])
# numbers = list(map(int,numbers))
#
# numbers[2] = numbers[2] + 1
# print(numbers[2]) # 65
# numbers = list(map(int,numbers))
# def sq(... | null | 38_map_filter.py | 38_map_filter.py | py | 1,305 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "functools.reduce",
"line_number": 46,
"usage_type": "call"
}
] |
618335268 | import psutil
class Stat(object):
def __init__(self):
self.connections = []
self.io_stat = []
def scan_stat(process, stat):
try:
stat.connections.extend(process.connections())
if hasattr(process, "io_counters"):
stat.io_stat.append(process.io_counters())
f... | null | monitor/psstat.py | psstat.py | py | 1,659 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "psutil.NoSuchProcess",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "psutil.Process",
"line_number": 54,
"usage_type": "call"
}
] |
429324191 | # from bunch import Bunch
import logging
import numpy as np
import pandas as pd
import tigerml.core.dataframe as td
from tigerml.core.utils import DictObject, compute_if_dask
_LOGGER = logging.getLogger(__name__)
class Encoder:
"""Encoder class."""
METHODS = DictObject({"onehot": "onehot", "ordinal": "ord... | null | src/ta_lib/_vendor/tigerml/core/preprocessing/encoder.py | encoder.py | py | 14,469 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "logging.getLogger",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "tigerml.core.utils.DictObject",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "tigerml.core.dataframe.helpers.tigerify",
"line_number": 27,
"usage_type": "call"
},
... |
620317379 | #!/usr/bin/python2.7
import rospy
from geometry_msgs.msg import PoseStamped, PoseWithCovarianceStamped
from nav_msgs.msg import OccupancyGrid, Path
from visualization_msgs.msg import MarkerArray, Marker
import visualization_msgs
import copy
import planners.astar
from move import Move
from state import State
from robot... | null | visualization/rviz_tools_py/src/rviz_tools_py/test_bug.py | test_bug.py | py | 4,057 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "move.Move",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "move.Move",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "move.Move",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "move.Move",
"line_number": 24,
... |
647500287 | import os
import csv
from reportlab.pdfgen import Canvas
from reportlab.lib.pagesizes import letter
from reportlab.lib.units import inch
from reportlab.lib import colors
from reporlab.platypus import Table
xmargin = 3.2 * inch
ymargin = 6 * inch
my_path = "/Users/staniya/Downloads/book1-exercises-master/chp09/practic... | null | ReportLab.py | ReportLab.py | py | 1,245 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "reportlab.lib.units.inch",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "reportlab.lib.units.inch",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "os.path.join",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path... |
430362458 | #!/usr/bin/env python
import array
import json
import sys
import re
from time import sleep
import traceback
import usb.core
import argparse
import struct
import sys
HOST_TO_DEVICE = 0x40
DEVICE_TO_HOST = 0xC0
TIMEOUT_MS = 1000
PAGE_SIZE = 64
class Fixture(object):
def __init__(self):
self.eeprom_pages ... | null | generic/eeprom-util.py | eeprom-util.py | py | 18,429 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "usb.core.core.find",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "usb.core.core",
"line_number": 46,
"usage_type": "attribute"
},
{
"api_name": "usb.cor... |
209464419 | # -*- coding: utf-8 -*-
#------------------------
# v2021-10-30 1. update test
#========================
from flask import Flask, request, abort, render_template, Response
from flask import json, jsonify, session, redirect, url_for
#from flask_cors import CORS, cross_origin # for cross domain problem
from flask impo... | null | W05/W04_補充/flask-cron-03/app.py | app.py | py | 4,674 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "flask.Flask",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "flask.request.args.get",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "flask.request.args",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "flask.requ... |
410073298 | # -*- coding: utf-8 -*-
import json
"""
--- Day 12: JSAbacusFramework.io ---
Santa's Accounting-Elves need help balancing the books after a recent order. Unfortunately, their accounting software uses a peculiar storage format. That's where you come in.
They have a JSON document which contains a variet... | null | day12.py | day12.py | py | 1,386 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "json.loads",
"line_number": 48,
"usage_type": "call"
}
] |
132469264 | #!/usr/bin/python3
''' starts a Flask web application '''
from flask import Flask, render_template
from models import storage
app = Flask(__name__)
@app.route('/hbnb', strict_slashes=False)
def states_hbnb():
''' display “states HBNB!” '''
list_state = list(storage.all("State").values())
list_amenity = li... | null | web_flask/100-hbnb.py | 100-hbnb.py | py | 813 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "flask.Flask",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "models.storage.all",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "models.storage",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "models.storage.all",
... |
123157719 | # -*- coding: utf-8 -*-
"""
Created on Wed Jul 18 17:37:51 2018
@author: 10257
"""
import urllib.request as r
import json
url = []
for i in range(0,100):
i+=44
url.append("https://s.taobao.com/search?q=%E8%A3%99%E5%AD%90&imgfile=&commend=all&ssid=s5-e&search_type=item&sourceId=tb.index&spm=a21bo.201... | null | case7.py | case7.py | py | 976 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "urllib.request.urlopen",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "urllib.request",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "json.loads",
"line_number": 18,
"usage_type": "call"
}
] |
174146171 | #Flask RestFul
#Get
#Post
#Put
#Delete
from flask import Flask
from flask_restful import Api,Resource
from Controller.cerveja_controller import CervejaController
app=Flask(__name__)
api=Api(app)
api.add_resource(CervejaController,'/api/cerveja')
@app.route('/')
def inicio():
return 'Bem vindo a API'
app.run(debu... | null | Aula36/aula36.py | aula36.py | py | 335 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "flask.Flask",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "flask_restful.Api",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "Controller.cerveja_controller.CervejaController",
"line_number": 12,
"usage_type": "argument"
}
] |
618230781 | # -*- coding: utf-8 -*-
import scrapy
from scrapy.linkextractors import LinkExtractor
from scrapy.spiders import CrawlSpider, Rule
from ..items import JobboleSpiderItem
from scrapy.loader import ItemLoader
class JobboleSpider(CrawlSpider):
name = 'jobbole'
allowed_domains = ['web.jobbole.com']
start_urls ... | null | jobbole_spider/spiders/jobbole.py | jobbole.py | py | 987 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "scrapy.spiders.CrawlSpider",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "scrapy.spiders.Rule",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "scrapy.linkextractors.LinkExtractor",
"line_number": 15,
"usage_type": "call"
},
{
... |
67376494 | import mysql.connector
import logging
import pandas as pd
import os
from pathlib import Path
logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(name)s - %(levelname)s - %(message)s')
logger = logging.getLogger(__name__)
from util.json_util import *
class db_connector:
def __init__(self):
... | null | transport/db_transport.py | db_transport.py | py | 4,188 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "logging.basicConfig",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
... |
64076946 | from django.shortcuts import render,redirect
from .models import Question
from django.http import HttpResponse,HttpResponseRedirect
from django.core.urlresolvers import reverse
import json
def Home_view(request):
msg='Hi'
return render(request,'QDemo/Home.html',{'msg':msg})
def RootQuestion_view(request):
question=Q... | null | QDemo/views.py | views.py | py | 1,313 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.shortcuts.render",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "models.Question.objects.all",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "models.Question.objects",
"line_number": 10,
"usage_type": "attribute"
},
{
"a... |
130556696 | import voluptuous as vol
import esphomeyaml.config_validation as cv
from esphomeyaml import automation
from esphomeyaml.const import CONF_DEVICE_CLASS, CONF_ID, CONF_INTERNAL, CONF_INVERTED, \
CONF_MAX_LENGTH, CONF_MIN_LENGTH, CONF_MQTT_ID, CONF_ON_CLICK, CONF_ON_DOUBLE_CLICK, \
CONF_ON_PRESS, CONF_ON_RELEASE,... | null | esphomeyaml/components/binary_sensor/__init__.py | __init__.py | py | 7,072 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "esphomeyaml.config_validation.PLATFORM_SCHEMA.extend",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "esphomeyaml.config_validation.PLATFORM_SCHEMA",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "esphomeyaml.config_validation",
"line... |
279953303 | """Table-of-contents magic
for IPython Notebook
Just do:
%load_ext nbtoc
%nbtoc
to get a floating table of contents
All the interesting code, c/o @magican and @nonamenix:
https://gist.github.com/magican/5574556
"""
import io
import os
from IPython.display import display_html, display_javascript
here = os.path.a... | null | nbtoc.py | nbtoc.py | py | 1,386 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.path.abspath",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "os.path.isfile",
"li... |
381817887 | import paho.mqtt.client as mqtt
import time
import csv
import datetime
import pyradamsa
rad = pyradamsa.Radamsa()
topic = "dev/test"
m = "Sending message "
def on_connect(client, userdata, flags, rc):
print(f"Connected with result code {rc}")
client = mqtt.Client()
cases = []
with open("usernames-to-mutate.... | null | Simple fuzzer/username fuzz/mqtt username fuzz.py | mqtt username fuzz.py | py | 1,291 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pyradamsa.Radamsa",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "paho.mqtt.client.Client",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "paho.mqtt.client",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "csv.writer"... |
18329281 | import os
os.environ['KMP_DUPLICATE_LIB_OK']='True'
import warnings
warnings.filterwarnings("ignore")
from PIL import Image
import numpy as np
from colorizers import eccv16, siggraph17
from skimage import color
import torch
import torch.nn.functional as F
from IPython import embed
import argparse
import matplotlib.py... | null | image_colorization.py | image_colorization.py | py | 2,727 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.environ",
"line_number": 2,
"usage_type": "attribute"
},
{
"api_name": "warnings.filterwarnings",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"l... |
301619966 | import argparse
import numpy as np
import os
def scale(x):
x_min, x_max = np.min(x, axis=0), np.max(x, axis=0)
return (x - x_min)/(x_max-x_min)
def normalize(x):
x_mean, x_std = np.mean(x, axis=0), np.std(x, axis=0)
return (x - x_mean)/x_std
def preprocess(filepath):
input_data = np.loadtxt(fi... | null | Assignment_1/utils/data_preprocessing_part_b.py | data_preprocessing_part_b.py | py | 1,123 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "numpy.min",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.max",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.mean",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.std",
"line_number": 12,
"... |
379473309 | import optparse
from django.core.management import base
class Command(base.BaseCommand):
"""
Base class for a declarative management command API.
"""
option_list = ()
option_groups = ()
option_names = ()
actions = ()
def usage(self, subcommand):
"""
Override ... | null | grunt/management/base.py | base.py | py | 2,568 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.core.management.base.BaseCommand",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "django.core.management.base",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "optparse.OptionGroup",
"line_number": 35,
"usage_type": "call"
}... |
392091621 | #wapp to wish the user gm/ga/ge
import datetime
dt = datetime.datetime.now()
hour = dt.hour
if( hour >=6 and hour <=12):
print("gm")
elif( hour >=12 and hour <=15):
print("ga")
else:
print("ge")
| null | L11/P4.py | P4.py | py | 201 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "datetime.datetime.now",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 5,
"usage_type": "attribute"
}
] |
524764222 | from sklearn.naive_bayes import MultinomialNB
#[possui brilho?, Possui vários metros cúbicos ?, Possui Trasnparência ?, É denso?]
rocha1 = [0,1,0,0]
rocha2 = [1,1,0,0]
rocha3 = [0,1,0,0]
mineral1 = [1,0,1,1]
mineral2 = [0,0,1,1]
mineral3 = [1,0,0,1]
dados = [rocha1, rocha2, rocha3, mineral1, mineral2, mineral3]
marca... | null | Questao02.py | Questao02.py | py | 1,255 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "sklearn.naive_bayes.MultinomialNB",
"line_number": 13,
"usage_type": "call"
}
] |
570160576 | # -*- coding: utf-8 -*-
"""
Created on Wed Dec 5 14:01:30 2018
@author: bazzz
"""
import numpy as np
from math import sqrt
import matplotlib.pyplot as plt
from scipy.misc import face
import time
from imageio import imread, imsave
#Z = face()[100:500,400:1000,1]/255
#imgName = 'Face'
Z = imread('Rain.jpg')[:,:,0]/... | null | Total Variation Denoising - Fall 2018/TVL1 Steepest.py | TVL1 Steepest.py | py | 2,495 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "imageio.imread",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.random.seed",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "numpy.random.norma... |
251476502 | from __future__ import print_function
from time import time
import csv
import sys
import os
from sklearn.feature_extraction.text import CountVectorizer
import numpy as np
import lda
import logging
logging.basicConfig(filename='lda_analyser.log', level=logging.DEBUG)
if not os.path.exists("results"):
os.makedirs... | null | src/lda_without_tf_idf.py | lda_without_tf_idf.py | py | 3,013 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "logging.basicConfig",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "os.path.exists",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path",
"... |
146724018 | from igraph import *
import igraph
import xml.etree.ElementTree as ET
from skimage import io
from skimage import transform
import cv2
import numpy as np
import argparse
def parserargs():
parser = argparse.ArgumentParser()
parser.add_argument('-image', action='store',
dest='image')
... | null | contextual_extractor.py | contextual_extractor.py | py | 3,504 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "cv2.imshow",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "cv2.waitKey",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "cv2.destroyAllWindows"... |
508767213 | from loguru import logger
from util import util
import requests
import json
# Using math.js web service for expression eval
API_URL = "http://api.mathjs.org/v4/?expr="
def handle(update, context):
util.log_chat("calc", update)
query = update.message.text
query = query.split(" ")
try:
calc... | null | src/handlers/calc.py | calc.py | py | 780 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "util.util.log_chat",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "util.util",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "loguru.logger.info",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "loguru.logger",
"... |
326811944 | # In[]
import sys, os
sys.path.append('../')
import numpy as np
from umap import UMAP
import time
import torch
import matplotlib.pyplot as plt
import pandas as pd
import scipy.sparse as sp
import scmomat.model as model
import scmomat.utils as utils
import scmomat.bmk as bmk
import scmomat.umap_batch as umap_batch
... | null | test/test_simulated_imbalanced.py | test_simulated_imbalanced.py | py | 34,257 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "sys.path.append",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "torch.device",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
... |
571621997 | from django import forms
from django.conf import settings
from .models import Event
from .exceptions import EventStartDateTimeException
import datetime
class EventForm(forms.ModelForm):
class Meta:
model = Event
fields = [
'title',
'place',
'description',
... | null | events/forms.py | forms.py | py | 2,018 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.forms.ModelForm",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "django.forms",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "models.Event",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "django.forms.Text... |
444671274 | import re
from django.utils import timezone
from django.core.exceptions import ValidationError
from django.utils.encoding import force_text
from django.utils.html import strip_tags
from django import forms
from sidrun.models import Tag
class CustomSelectMultipleTags(forms.ModelMultipleChoiceField):
def label_fr... | null | sidrun/forms.py | forms.py | py | 5,397 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.forms.ModelMultipleChoiceField",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "django.forms",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "django.forms.ModelForm",
"line_number": 17,
"usage_type": "attribute"
},
{
... |
412240504 | from time import strftime
from baobab.lims.config import VOLUME_UNITS
from bika.lims import PMF
from bika.lims import logger
from bika.lims.browser.bika_listing import WorkflowAction
from bika.lims.workflow import doActionFor
from Products.Archetypes.exceptions import ReferenceException
from Products.CMFCore.Workflow... | null | baobab/lims/browser/biospecimen/workflow.py | workflow.py | py | 12,711 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "bika.lims.browser.bika_listing.WorkflowAction",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "plone.protect.CheckAuthenticator",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "plone.protect",
"line_number": 25,
"usage_type": "attribut... |
158398789 | #!/usr/bin/env python
# encoding: utf-8
from random import choice
import string
import logging
from termcolor import colored
import os, sys
class ColorLogFiler(logging.StreamHandler):
""" Override logging class to enable terminal colors """
def emit(self, record):
try:
msg = self.format... | null | src/common/utils.py | utils.py | py | 2,133 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "logging.StreamHandler",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "termcolor.colored",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "termcolor.colored",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "termco... |
45273461 | import sys
import math
import random
import maya.OpenMaya as om
import maya.OpenMayaMPx as omMPx
import maya.mel as mel
kPluginNodeTypeName = "MASH_Delay"
mashDelayId = om.MTypeId(0x0011BE07)
class mashDelay( omMPx.MPxNode ):
inputs = om.MObject()
outputArray = om.MObject()
#AETemplate embedded... | null | BDmaya/plugins/win/2013/MASH_Delay.py | MASH_Delay.py | py | 9,638 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "maya.OpenMaya.MTypeId",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "maya.OpenMaya",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "maya.OpenMayaMPx.MPxNode",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "may... |
457877611 | from django.urls import path
from . import views
app_name = 'requirements'
urlpatterns = [
path("", views.view_all_groups, name="all_groups"),
path("<int:group_id>/", views.view_group, name="one_group"),
path("reqs/<int:requirement_id>/", views.view_requirement, name="one_requirement"),
]
| null | requirements/urls.py | urls.py | py | 306 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.urls.path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 10,
"usage_type": "call"
}
] |
204269597 | from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker
from db import Base, ToDoItem
engine = create_engine("sqlite:///tasks.db", echo=True)
Base.metadata.create_all(engine)
Session = sessionmaker(bind=engine)
s = Session()
for desc in ("прочитать книгу", "выучить django", "помыть посуду","пое... | null | init_db.py | init_db.py | py | 414 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "sqlalchemy.create_engine",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "db.Base.metadata.create_all",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "db.Base.metadata",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name"... |
142317483 | import cfnresponse
import json
import boto3
import time
import sys
responseStr = {'Status' : {}}
def getRouteTableID(PrimarySubnetId,SecondarySubnetId,vpcId,AWSRegion):
session = boto3.Session()
ec2 = session.client('ec2', region_name=AWSRegion)
response = ec2.describe_route_tables(
F... | null | scripts/HAConfig/HAConfig.py | HAConfig.py | py | 39,780 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "boto3.Session",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "boto3.Session",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "boto3.Session",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "boto3.Session",
"line_n... |
131677521 | # -*- coding: utf-8 -*-
#-------------------------------------------------------------------------------
# Name: csvmixin
# Purpose: csv mixin for dyndmod
#
# Author: jojosati
#
# Created: 05/01/2012
# Copyright: (c) jojosati 2012
# Licence: MIT
#-----------------------------------------------... | null | csvmixin.py | csvmixin.py | py | 7,647 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "dyndmod.sqla.Integer",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "dyndmod.sqla",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "dyndmod.sqla.Float",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "dyndmo... |
49330128 | from django import forms
from django.core import validators
class Empform(forms.Form):
name = forms.CharField()
salary = forms.IntegerField()
opinion = forms.CharField(widget=forms.Textarea, validators=[validators.MaxLengthValidator(40), validators.MinLengthValidator(10)])
def clean(self):
pr... | null | corevalidator2/webapp/forms.py | forms.py | py | 673 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.forms.Form",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "django.forms",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "django.forms.CharField",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.forms"... |
342655923 | import os
os.environ.setdefault("DJANGO_SETTINGS_MODULE", "prs_project.settings")
import django
django.setup()
import decimal
import pandas as pd
from recommender.models import Similarity
from analytics.models import Rating
from sklearn.metrics.pairwise import cosine_similarity
from scipy import sparse
from datet... | null | builder/item_similarity_calculator.py | item_similarity_calculator.py | py | 5,203 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.environ.setdefault",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "django.setup",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now... |
52787123 | #imports
import numpy as np
import string
import re
import csv
from nltk.corpus import stopwords
from nltk.stem import SnowballStemmer
from nltk.tokenize import RegexpTokenizer
from nltk.text import Text
from nltk.stem import WordNetLemmatizer
import copy
#imports end
##train test load
train = np.load("./data/data_... | null | naviebayes.py | naviebayes.py | py | 6,792 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "numpy.load",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.load",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "nltk.corpus.stopwords.words",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "nltk.corpus.stopwor... |
298405180 | import pandas as pd
import numpy as np
import argparse
import os
"""
This script takes the individual UrbanSim input .csv files and
compiles them into an (python 2) .h5 data store object, stored
locally, and used for either estimation, simulation or both in
bayarea_urbansim UrbanSim implementation. The last simulation... | null | scripts/make_model_data_hdf.py | make_model_data_hdf.py | py | 9,053 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 77,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 81,
"usage_type": "call"
},
{
"api_name": "pandas.read_c... |
47636741 | from django.urls import path
from cms import views
app_name = 'cms'
urlpatterns = [
#カード
path('card/', views.card_list, name='card_list'), #一覧
path('card/add', views.card_edit, name='card_add'), #登録
path('card/mod/<int:card_id>/', views.card_edit, name='card_mod'), #修正
path('card/del/<in... | null | mydeck/cms/urls.py | urls.py | py | 396 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.urls.path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "cms.views.card_list",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "cms.views",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "django.urls.path",
... |
31562265 | import requests
import json
from time import sleep as s
def errorLogger(error):
with open("log", "a") as f:
f.write(f"\n\n{error}")
def makeReadable(number):
if type(number) != int:
return number
numberstring = str(number)
newNumberstring = ""
for x in numberstring:
if len(numberstring) == 7:
newNumbers... | null | Covid19/covid_backend.py | covid_backend.py | py | 5,892 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "requests.get",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 38,
"usage_type": "call"
}
] |
129650987 | from Bio import PDB
from Bio.PDB import PDBParser, PDBIO
from Bio.PDB.Atom import Atom
from Bio.PDB.Residue import Residue
from Bio.PDB.Chain import Chain
from Bio.PDB.Model import Model
from Bio.PDB.Structure import Structure
import array
#create structure cytosine
cytosine = Structure('cytosine')
#create model
my_... | null | task2.py | task2.py | py | 2,103 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "Bio.PDB.Structure.Structure",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "Bio.PDB.Model.Model",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "Bio.PDB.Chain.Chain",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "B... |
542783565 |
from datetime import timedelta
class Settings:
"A class to store all settings for alen invasion."
def __init__ (self):
"""initialize the game's settings"""
#version
self.version = "1.0.1 git (2020.03.30)"
#screen settings
self.screen_width = 1080... | null | alien_invasion_Alpha_1.0.1/alien_invasion/settings.py | settings.py | py | 1,144 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "datetime.timedelta",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "datetime.timedelta",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "datetime.timedelta",
"line_number": 35,
"usage_type": "call"
}
] |
11342966 |
from hpsklearn import HyperoptEstimator, xgboost_classification
from hyperopt import tpe
import pandas as pd
def main():
df_train = pd.read_csv('../train_dataset.csv')
df_test = pd.read_csv('../test_dataset.csv')
X_train, y_train = df_train.iloc[:, 2:].values, df_train.iloc[:, 0].values
X_test, y_... | null | MachineLearning/supervised_training/XGBOOST/XG_hyperopt.py | XG_hyperopt.py | py | 713 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pandas.read_csv",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "hpsklearn.HyperoptEstimator",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "hpsklearn... |
128867638 | import sys
if sys.version_info < (3,6):
sys.exit('Sorry, Python < 3.6 is not supported')
from setuptools import setup, find_packages
with open("README.md", "r", encoding="utf-8") as fh:
long_description = fh.read()
setup(
name='PyBIS',
version= '1.18.12',
author='Swen Vermeul • ID SIS • ETH Zür... | null | pybis/src/python/setup.py | setup.py | py | 1,068 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "sys.version_info",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "sys.exit",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "setuptools.setup",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "setuptools.find_package... |
479449955 | #!/usr/bin/env python
import argparse
import pprint
from time import sleep
from scapy.all import sendp, sendpfast, hexdump, get_if_hwaddr
from scapy.all import Ether, IP, UDP
def main():
parser = argparse.ArgumentParser()
parser.add_argument("ip", metavar="IP", type=str, help="IP addr of the receiver")
... | null | assignment2/send.py | send.py | py | 1,163 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "scapy.all.Ether",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "scapy.all.get_if_hwaddr",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "scapy... |
482679700 | # -*- coding: utf-8 -*-
import time
from functools import wraps
import logging
logger = logging.getLogger(__file__)
def fn_timer(function):
@wraps(function)
def function_timer(*args, **kwargs):
t0 = time.time()
result = function(*args, **kwargs)
t1 = time.time()
logger.info("To... | null | src/Common/Tools/FNDecorator.py | FNDecorator.py | py | 572 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "logging.getLogger",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "functools.wraps",
"line_numb... |
588621746 | # Solar Wifi Weather Station
# Very alpha at this stage
# Last updated October 19, 2019
#
# This is heavily based on 3KUdelta's Solar WiFi Weather Station.
# There was much cutting and pasting!
# See https://github.com/3KUdelta/Solar_WiFi_Weather_Station
# This in turn was based on the work of Open Green Energy:
# http... | null | weather_station.py | weather_station.py | py | 10,654 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "json.loads",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "network.WLAN",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "network.STA_IF",
"line_number": 47,
"usage_type": "attribute"
},
{
"api_name": "network.WLAN",
"line_... |
91697717 | """No adversarial training
"""
#import os
#os.environ["CUDA_DEVICE_ORDER"] = "PCI_BUS_ID" see issue #152
#os.environ["CUDA_VISIBLE_DEVICES"] = ""
from keras.layers import Input, Conv1D, Embedding, Dropout
from keras.layers import MaxPool1D, Dense, Flatten
from keras.models import Model
from utils_dann import flipGr... | null | baselines/DANN/DANN_keras_no.py | DANN_keras_no.py | py | 11,343 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "numpy.random.shuffle",
"line_number": 82,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 82,
"usage_type": "attribute"
},
{
"api_name": "numpy.asarray",
"line_number": 94,
"usage_type": "call"
},
{
"api_name": "numpy.asarray",
... |
246247736 | from EligibleAgeChecker import EligibleAgeChecker
from abc import ABC, abstractmethod
import re
import pytest
from WebDataScraper import DataScraper, WebDataScraper
test_wds = WebDataScraper()
url = "https://www.nhs.uk/conditions/coronavirus-covid-19/coronavirus-vaccination/coronavirus-vaccine/?gaclid=Cj0KCQjw16KFBhCg... | null | test_EligibleAgeChecker.py | test_EligibleAgeChecker.py | py | 1,184 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "WebDataScraper.WebDataScraper",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "EligibleAgeChecker.EligibleAgeChecker",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pytest.raises",
"line_number": 28,
"usage_type": "call"
}
] |
172351546 | #! /usr/bin/env python3
# coding: utf-8
import math
import urllib.parse
import requests
from view.consoleapiview import ConsoleApiView
class OpenFoodFactsInteractions:
""" This class manages all the interactions with the OpenFoodFacts API """
def __init__(self):
self.interface = ConsoleApiView()
... | null | app/controller/api_interaction.py | api_interaction.py | py | 1,645 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "view.consoleapiview.ConsoleApiView",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "urllib.parse.parse.urlencode",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "urllib.parse.parse",
"line_number": 30,
"usage_type": "attribute"
},
... |
96994735 | from django import forms
from django.utils.translation import ugettext_lazy as _
from django_countries import data as country_data
from postal.settings import POSTAL_ADDRESS_LINE1, POSTAL_ADDRESS_LINE2, POSTAL_ADDRESS_CITY, POSTAL_ADDRESS_STATE, \
POSTAL_ADDRESS_CODE, POSTAL_USE_CRISPY_FORMS
if POSTAL_USE_CRISPY... | null | src/postal/forms/__init__.py | __init__.py | py | 2,670 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "postal.settings.POSTAL_USE_CRISPY_FORMS",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "django_countries.data",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "django_countries.data",
"line_number": 17,
"usage_type": "name"
},
{
... |
482851298 | #-*- coding: utf-8 -*-
"""
FrostyX's Qtile config
Don't be dumb and test it with Xephyr first
https://wiki.archlinux.org/index.php/Xephyr
Xephyr -br -ac -noreset -screen 1600x600 :1 &
DISPLAY=:1 qtile &
DISPLAY=:1 urxvt &
"""
import re
import subprocess
from datetime import date
from os import uname
fr... | null | .config/qtile/examples/FrostyX.py | FrostyX.py | py | 15,911 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.uname",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "libqtile.config.Key",
"line_number": 69,
"usage_type": "call"
},
{
"api_name": "libqtile.command.lazy.layout.next",
"line_number": 69,
"usage_type": "call"
},
{
"api_name": "libqti... |
474279302 | import time
import datetime
import socket
import asyncio
import matplotlib.pyplot as plt
import numpy as np
import argparse
import select
import selectors
import sys
from sklearn import datasets
from sklearn import metrics
from sklearn.tree import DecisionTreeClassifier
from sklearn.datasets import load_svmlight_file
f... | null | StateMachine/parse_data.py | parse_data.py | py | 26,924 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "matplotlib.pyplot.ion",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.rcParams",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name"... |
320262697 | import matplotlib.pyplot as plt
import torch
from IPython import display
import numpy as np
import random
num_inputs = 2
num_examples = 1000
true_w = [2, -3.4]
true_b = 4.2
features = torch.randn(num_examples, num_inputs,
dtype=torch.float32)
labels = true_w[0] * features[:, 0] + true_w[1] * fe... | null | Coding/Chapter03.py | Chapter03.py | py | 3,258 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "torch.randn",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "torch.float32",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "torch.tensor",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.random.normal",
... |
629404196 | # Copyright (c) LinkedIn Corporation. All rights reserved. Licensed under the BSD-2 Clause license.
# See LICENSE in the project root for license information.
from urllib import unquote
from falcon import HTTP_201, HTTPError, HTTPBadRequest
from ujson import dumps as json_dumps
from ...utils import load_json_body
fro... | null | src/oncall/api/v0/schedules.py | schedules.py | py | 9,398 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "falcon.HTTPBadRequest",
"line_number": 82,
"usage_type": "call"
},
{
"api_name": "urllib.unquote",
"line_number": 152,
"usage_type": "call"
},
{
"api_name": "urllib.unquote",
"line_number": 153,
"usage_type": "call"
},
{
"api_name": "ujson.dumps",
... |
254119100 | import json
import os
products = []
with open("scans.json", "r") as f:
data = json.load(f)
for e in data:
id = e['id']
name = e['name']
type = e['type']
t = str(e["timestamp"])
l = e["location"]
l = [str(i) for i in l]
l = ' '.join(l)
found = Fals... | null | out/production/resources/pathfinder.py | pathfinder.py | py | 778 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "json.load",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.chdir",
"line_number": 26,
"usage_type": "call"
}
] |
329737460 | import xlsxwriter
def main():
workbook = xlsxwriter.Workbook('dados_gRPC.xlsx')
worksheet = workbook.add_worksheet()
arq = open('tempos_gRPC.txt', 'r')
texto = arq.readlines()
inicializaWorksheet(texto, worksheet)
row = 0
col = 0
for linha in texto :
if(ro... | null | escrevePlanilha.py | escrevePlanilha.py | py | 771 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "xlsxwriter.Workbook",
"line_number": 5,
"usage_type": "call"
}
] |
163006824 | __author__ = 'damienpuig'
from setuptools import setup
setup(name='damienpuig',
version='0.1',
description='The funniest joke',
url='http://github.com/damienpuig/library_test',
author='Damien PUIG',
author_email='damien.puig@gmail.com',
license='MIT',
packages=['damienpuig'],... | null | pypi_install_script/damienpuig-0.1.tar/setup.py | setup.py | py | 399 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "setuptools.setup",
"line_number": 5,
"usage_type": "call"
}
] |
276380495 | # Copyright (C) 2008-2015 Ruben Decrop
# Copyright (C) 2015-2016 Chessdevil Consulting
import io
import sys
import urllib.request
import zipfile
from reddevil.models import rdr
from bjk2016.models import init_db
fidetitle = {
'': 0, 'WCM': 1, 'WFM': 2, 'CM': 3, 'FM': 4, 'WIM': 5, 'WGM': 6, 'IM': 7,
'GM': 8
}... | null | bjk2016/scripts/fideplayer.py | fideplayer.py | py | 2,043 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "urllib.request.request.urlopen",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "urllib.request.request",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "urllib.request",
"line_number": 25,
"usage_type": "name"
},
{
"api_nam... |
503809346 | # What should be take care of here:
# - Security
# - Transaction control
# - Audit.
# - Customization
# - Model intelligence
# - Logging
LOGAUDIT = False
import medhist.models as md
import medhist.session as ss
from django.db import transaction as trc
import datetime as dt
current_audit = None
class ... | null | medsoft_proj/medhist/modelapi.py | modelapi.py | py | 8,081 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "medhist.session.current_session",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "medhist.session",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "medhist.session.current_session",
"line_number": 30,
"usage_type": "attribute"
},
... |
83444363 | #!/usr/bin/env python3
# encoding: utf-8
import argparse
import errno
import os
import re
import requests
import sys
from timeit import default_timer as timer
import urllib
class Subreddit:
"""
Scrapes a subreddit and downloads the .jpg and .png images.
Attributes:
subreddit (str) : the subreddi... | null | src/piccit.py | piccit.py | py | 8,538 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "requests.get",
"line_number": 90,
"usage_type": "call"
},
{
"api_name": "re.findall",
"line_number": 95,
"usage_type": "call"
},
{
"api_name": "timeit.default_timer",
"line_number": 126,
"usage_type": "call"
},
{
"api_name": "urllib.parse.urlparse",... |
409823890 | # -*- encoding: utf-8 -*- # Especificamos que nuestro archivo .py está codificado en UTF-8
#!/usr/bin/python
"""
Plataforma de experimentacion
SERGIO DE LA CRUZ GUTIERREZ
ALGORITMO MARTINELLI
Parametros:
Succion motor (50-100)
Duracion de la experimentacion (en muestras)
Tiempo de ap... | null | Ficheros Carlos/tgs2600martinelli.py | tgs2600martinelli.py | py | 19,579 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "Adafruit_DHT.DHT22",
"line_number": 50,
"usage_type": "attribute"
},
{
"api_name": "Adafruit_BBIO.GPIO.setup",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "Adafruit_BBIO.GPIO",
"line_number": 56,
"usage_type": "name"
},
{
"api_name": "A... |
350662447 | from __future__ import absolute_import
from __future__ import print_function
from keras import objectives
from keras.models import model_from_json
from keras.optimizers import SGD, RMSprop, Adam, Adamax , Nadam
from keras.callbacks import *
from keras.utils.generic_utils import slice_arrays
from .callbacks import *
... | null | hyperion/keras/keras_utils.py | keras_utils.py | py | 14,051 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "constraints.Clip",
"line_number": 73,
"usage_type": "name"
},
{
"api_name": "keras.models.model_from_json",
"line_number": 82,
"usage_type": "call"
},
{
"api_name": "keras.objectives.get",
"line_number": 240,
"usage_type": "call"
},
{
"api_name": "k... |
329688417 | import sys
import pyric.pyw as pyw
from colorama import Fore, Style
def interface_command(interface, verbose):
faces = pyw.winterfaces() if interface == "all" else [interface]
for face in faces:
if face not in pyw.winterfaces():
sys.exit(f"{face} is not an interface")
print(f"{Fore.G... | null | boop/tools/interfaces.py | interfaces.py | py | 1,422 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pyric.pyw.winterfaces",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pyric.pyw",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "pyric.pyw.winterfaces",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pyric.pyw",
"... |
45950816 | from sklearn.model_selection import train_test_split
import datetime
class Timer:
def __init__(self):
self.start_time = datetime.datetime.now()
def start(self):
self.start_time = datetime.datetime.now()
def stop(self):
interval = datetime.datetime.now() - self.start_time
... | null | TestTools.py | TestTools.py | py | 1,298 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "datetime.datetime.now",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "datetime.datetime.now",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "date... |
633101333 | # applying all functions to solve integrals
import numpy as np
import matplotlib.pyplot as plt
import time
import copy
from data import aero_data, grid, f100, transpose, nodes_z, nodes_x, times_z
from integrator import def_integral, indef_integral
from interpolator import spline_coefficient, spline_interpolato... | null | Code/Verification integration/COMBINED.py | COMBINED.py | py | 4,813 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "copy.deepcopy",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "data.grid",
"line_number": 21,
"usage_type": "argument"
},
{
"api_name": "data.times_z",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "data.aero_data",
"line_n... |
553081879 | # code your activity here
# or replace this file with your python activity file
# import statements
"""
class exampleActivity(activity.Activity):
"""
# Sugar Imports
from sugar3.activity.activity import Activity
from sugar3.activity.widgets import StopButton
from sugar3.activity.widgets import ActivityButton
from PI... | null | activity.py | activity.py | py | 3,237 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "sugar3.activity.activity.Activity",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "sugar3.activity.activity.Activity.__init__",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "sugar3.activity.activity.Activity",
"line_number": 22,
"usag... |
14500492 | # URL Handler for the website
from django.conf.urls import url,include
from django.contrib import admin
from . import views
urlpatterns = [
url(r'^admin/', admin.site.urls),
url(r'^', include('Personal.urls')),
url(r'^home/', include('Personal.urls')),
url(r'^learn/', include('Learn.urls')),
u... | null | codesquest/urls.py | urls.py | py | 524 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.conf.urls.url",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.contrib.admin.site",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.admin",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": ... |
558537848 | from django.test import TestCase
from django.core.urlresolvers import reverse
from .models import Category
# Create your tests here.
class CategoryMethodTests(TestCase):
def test_ensure_views_are_positive(self):
cat = Category(name='test', views=-1, likes=0)
cat.save()
self.assertEqual((ca... | null | project_rango/apps/rango/tests.py | tests.py | py | 1,223 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.test.TestCase",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "models.Category",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "models.Category",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "django.test.TestCa... |
547973984 | # Authors: Hagen Blix
# Script for generating sentences with collective predicates
# import pattern.en
# from pattern.en import conjugate as pconj
from utils.conjugate2 import *
from utils.string_utils import remove_extra_whitespace
from random import choice
import numpy as np
import os
# initialize output file
rel_... | null | generation_projects/plurality/collective_predicates.py | collective_predicates.py | py | 8,130 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.path.join",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path.abspath",
"line... |
490386672 | from django.http import HttpResponse
from django.shortcuts import render, redirect
from .forms import UserForm
from error_pages.http import Http400
def home(request, name, number_games):
if number_games > 10 or number_games < 1:
raise Http400
number_games = number_games - 1
variables = {
... | null | testunitaire/shifumi/views.py | views.py | py | 891 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "error_pages.http.Http400",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "django.shortcuts.render",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "forms.UserForm",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "djang... |
397437664 | '''
start a thread capture frames
save frames to redis server
'''
import sys
import traceback
from queue import Queue
from threading import Thread
import threading
import cv2 as cv
import logging
import datetime
import time
# sys.path.append('../')
from utils_ken.log.getlog import get_logger
log_cam = get_logger... | null | utils_ken/video/video_stream.py | video_stream.py | py | 4,226 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "utils_ken.log.getlog.get_logger",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "queue.Queue",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "threading.Lock",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "threading.... |
247946889 | import matplotlib
import gzip
import pandas as pd
# import seaborn as sns
from mnist import MNIST
from sklearn.decomposition import PCA
from sklearn.cluster import KMeans
filenames = 'train-images-idx3-ubyte t10k-images-idx3-ubyte train-labels-idx1-ubyte t10k-labels-idx1-ubyte'.split() # noqa
for i, filename in enu... | null | mnist_solver.py | mnist_solver.py | py | 1,252 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "gzip.open",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "mnist.MNIST",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_n... |
458135955 | """
dariah.topics.modeling
~~~~~~~~~~~~~~~~~~~~~~
This module implements low-level LDA modeling functions.
"""
from pathlib import Path
import tempfile
import os
import logging
import multiprocessing
import shutil
from typing import Optional, Union
import cophi
import lda
import numpy as np
import pandas as pd
from... | null | dariah/core/modeling.py | modeling.py | py | 8,684 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "logging.getLogger",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "logging.WARNING",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "typing.Optional",
"line_number": 47,
"usage_type": "name"
},
{
"api_name": "typing.Union",... |
624178742 | # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # #
# Sorry, but the key map assignments please do manually.
# # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # #
#ユーザー設定のアドオンリストに表示される色々
bl_info = {'name':'Silent Key Del',
'author':'bookyakuno',
'version':(0,1),
... | null | SilentKeyDel.py | SilentKeyDel.py | py | 3,740 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "bpy.types",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "bpy.ops.anim.keyframe_delete_v3d",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "bpy.ops",
"line_number": 35,
"usage_type": "attribute"
},
{
"api_name": "bpy.type... |
587699170 | #!/usr/bin/python
# -*- coding:utf-8 -*-
# This Python file uses the following encoding: utf-8
from setuptools import setup, find_packages
import sys
from easy_contact_setup import version
import os
# Read the version from a project file
VERSION = version.VERSION_str
# Get description from README file
long_descripti... | null | pypi_install_script/django-easy-contact-setup-0.3.9.tar/setup.py | setup.py | py | 2,062 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "easy_contact_setup.version.VERSION_str",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "easy_contact_setup.version",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "os.path.join",
"line_number": 15,
"usage_type": "call"
},
{
... |
456710609 | import os
import json
import requests
import yaml
def connected_to_internet(url='http://www.google.com/', timeout=5):
"""
Check that there is an internet connection
:param url: url to use for testing (Default value = 'http://www.google.com/')
:param timeout: timeout to wait for [in seconds] (Default value = 5... | null | brainrender/Utils/data_io.py | data_io.py | py | 3,521 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "requests.get",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "requests.ConnectionError",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "requests.get",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "os.path.isdir... |
167764124 | # 라이브러리 불러오기
from config import TELEGRAM_TOKEN, CHAT_ID
from noti import news
import requests
from bs4 import BeautifulSoup
import telegram
bot = telegram.Bot(token=TELEGRAM_TOKEN)
# 서치 키워드
search_word = '코로나'
# 기존에 보냈던 링크를 담아둘 리스트
naver_old_links = []
naver_old_titles = []
daum_old_links = []
daum_old_title = []
# ... | null | news.py | news.py | py | 4,230 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "telegram.Bot",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "config.TELEGRAM_TOKEN",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "requests.get",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
... |
46832701 | import json
import os
from django.core.management import BaseCommand
from authapp.models import ShopUser
from mainapp.models import ClassForMainGallery, MainGallery, MainSlider, AboutUs
from servicesapp.models import ServicesCategories, Services
JSON_PATH = 'mainapp/jsons'
def load_from_json(file_name):
with o... | null | mainapp/management/commands/fill_db.py | fill_db.py | py | 2,198 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.path.join",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "json.load",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "django.core.management.BaseComman... |
2606318 | from django.conf.urls import include, url
from django.conf import settings
from django.contrib import admin
from django.views.generic import RedirectView
from django.conf.urls.static import static
from accounts.views import CustomLoginView, DisclaimerCreateView, \
data_protection, subscribe_view
urlpatterns = [
... | null | pipsevents/urls.py | urls.py | py | 1,564 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.conf.urls.url",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.include",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "django.contrib.admin.site",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_... |
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