code stringlengths 13 1.2M | order_type stringclasses 1
value | original_example dict | step_ids listlengths 1 5 |
|---|---|---|---|
from django.core.management.base import BaseCommand
from journal.models import Journal
from article.models import ArticleCoverSetting
from django.conf import settings
import os
class Command(BaseCommand):
def handle(self, *args, **options):
print('Loading article settings')
ArticleCoverSetting.ob... | normal | {
"blob_id": "a3d27561488c38e1256eb33abad108ad42081eb6",
"index": 9253,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass Command(BaseCommand):\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass Command(BaseCommand):\n\n def handle(self, *args, **options):\n print('Loading article... | [
0,
1,
2,
3
] |
from .server import CanvasServer
try:
from .jupyter import JupyterCanvas, create_jupyter_canvas
HAS_JUPYTER = True
except:
HAS_JUPYTER = False
JupyterCanvas = None # type: ignore
def http_server(
file: str = None, host: str = "localhost", port: int = 5050
) -> CanvasServer:
"""Creates a new... | normal | {
"blob_id": "b11e2837d3ba9c14770b8039186a2175adc41ea1",
"index": 283,
"step-1": "<mask token>\n\n\ndef http_server(file: str=None, host: str='localhost', port: int=5050\n ) ->CanvasServer:\n \"\"\"Creates a new HTTP server for displaying the network, using WebSockets to\n transmit data. The server will ... | [
1,
2,
3,
4,
5
] |
import datetime
from app.api.v2.models.db import Database
now = datetime.datetime.now()
db = Database()
cur = db.cur
class Meetup():
#meetup constructor
def __init__(self, topic, location, tags, happening_on):
self.topic = topic
self.location = location
self.tags = tags
self.h... | normal | {
"blob_id": "275f8b6ac31792a9e4bb823b61366f868e45ef4e",
"index": 6521,
"step-1": "<mask token>\n\n\nclass Meetup:\n <mask token>\n\n def check_if_meetup_exists(self, topic):\n query = 'SELECT topic from meetups WHERE topic=%s;'\n cur.execute(query, (topic,))\n meetup = cur.fetchone()\n... | [
4,
7,
8,
9,
10
] |
class SensorReadings:
def __init__(self, sense_hat):
self.temprerature_humidity_sensor = sense_hat.get_temperature_from_humidity()
self.temperature_pressure_sensor = sense_hat.get_temperature_from_pressure()
self.humidity = sense_hat.get_humidity()
self.pressure = sense_hat.get_pressure()
def prin... | normal | {
"blob_id": "f680503488a2780624b28e49b045aad75506d8c5",
"index": 3248,
"step-1": "class SensorReadings:\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n",
"step-2": "class SensorReadings:\n <mask token>\n\n def printReadings(self):\n print('temperature from humidity sensor... | [
1,
2,
3,
4,
6
] |
import imgui
print("begin")
imgui.create_context()
imgui.get_io().display_size = 100, 100
imgui.get_io().fonts.get_tex_data_as_rgba32()
imgui.new_frame()
imgui.begin("Window", True)
imgui.text("HelloWorld")
imgui.end()
imgui.render()
imgui.end_frame()
print("end")
| normal | {
"blob_id": "146cae8f60b908f04bc09b10c4e30693daec89b4",
"index": 6560,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint('begin')\nimgui.create_context()\n<mask token>\nimgui.get_io().fonts.get_tex_data_as_rgba32()\nimgui.new_frame()\nimgui.begin('Window', True)\nimgui.text('HelloWorld')\nimgui.end()\... | [
0,
1,
2,
3,
4
] |
from gpiozero import Motor
class Car:
def __init__(self, speed: float=1):
self.speed = speed
self.forward_right_motor = Motor(forward=12, backward=16)
self.backward_right_motor = Motor(forward=21, backward=20)
self.forward_left_motor = Motor(forward=23, backward=18)
self.b... | normal | {
"blob_id": "6bf1a0fbf65895eac9baa71bc5e04e861f0a3ed5",
"index": 4190,
"step-1": "<mask token>\n\n\nclass Car:\n\n def __init__(self, speed: float=1):\n self.speed = speed\n self.forward_right_motor = Motor(forward=12, backward=16)\n self.backward_right_motor = Motor(forward=21, backward=... | [
5,
6,
7,
8
] |
from sklearn.datasets import fetch_20newsgroups
from sklearn.decomposition import TruncatedSVD
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.feature_extraction.text import HashingVectorizer
from sklearn.feature_extraction.text import TfidfTransformer
from sklearn.pipeline import make_pipeline... | normal | {
"blob_id": "53cbc3ca3a34a8aafa97d6964337cfabb1bebac5",
"index": 8957,
"step-1": "from sklearn.datasets import fetch_20newsgroups\nfrom sklearn.decomposition import TruncatedSVD\nfrom sklearn.feature_extraction.text import TfidfVectorizer\nfrom sklearn.feature_extraction.text import HashingVectorizer\nfrom sklea... | [
0
] |
# This is a sample Python script.
# Press Shift+F10 to execute it or replace it with your code.
# Press Double Shift to search everywhere for classes, files, tool windows, actions, and settings.
from PyQt5 import QtWidgets, uic
import sys
import pymysql
import mysql.connector
class Ui_Login(QtWidgets.QDi... | normal | {
"blob_id": "0ff6e22f8704a0c6c0ffff3c53761b9d3a531b6d",
"index": 683,
"step-1": "<mask token>\n\n\nclass Ui_Login(QtWidgets.QDialog):\n\n def __init__(self):\n super(Ui_Login, self).__init__()\n uic.loadUi('login.ui', self)\n self.icon = self.findChild(QtWidgets.QLabel, 'ilogin')\n ... | [
5,
7,
8,
9,
10
] |
#これは明日20200106に走らせましょう！
import numpy as np
import sys,os
import config2
CONSUMER_KEY = config2.CONSUMER_KEY
CONSUMER_SECRET = config2.CONSUMER_SECRET
ACCESS_TOKEN = config2.ACCESS_TOKEN
ACCESS_TOKEN_SECRET = config2.ACCESS_TOKEN_SECRET
import tweepy
auth = tweepy.OAuthHandler(CONSUMER_KEY, CONSUMER_SECRET)
auth.set_... | normal | {
"blob_id": "8fac4571a3a1559e297754e89375be06d6c45c2d",
"index": 4795,
"step-1": "<mask token>\n\n\ndef skip_func(list):\n cnt = 0\n for i in list:\n padd = [0] * 200\n try:\n got = api.friends_ids(i, count=200)\n except:\n print('========NG=============', cnt)\n ... | [
1,
2,
3,
4,
5
] |
from django.apps import AppConfig
class SmashbotspainConfig(AppConfig):
name = 'smashbotspain'
| normal | {
"blob_id": "e714755d660ba809f7958cad4f0b9f95b0a0ffdc",
"index": 9320,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass SmashbotspainConfig(AppConfig):\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass SmashbotspainConfig(AppConfig):\n name = 'smashbotspain'\n",
"step-4": "from djan... | [
0,
1,
2,
3
] |
# -*- python -*-
# ex: set syntax=python:
# vim: set syntax=python:
import os
import re
from collections import defaultdict, namedtuple
from enum import Enum
from pathlib import Path
import buildbot.www.authz.endpointmatchers as ems
from buildbot.changes.filter import ChangeFilter
from buildbot.changes.gitpoller impo... | normal | {
"blob_id": "4abcca52095a169b71d2527ce52b8367534c42a4",
"index": 5989,
"step-1": "<mask token>\n\n\nclass Purpose(Enum):\n halide_nightly = 1\n halide_testbranch = 2\n llvm_nightly = 3\n\n\nclass BuildSystem(Enum):\n make = 0\n cmake = 1\n\n\nclass BuilderType:\n \"\"\"A class to encapsulate th... | [
45,
55,
62,
69,
80
] |
{"filter":false,"title":"settings.py","tooltip":"/mysite/settings.py","undoManager":{"mark":53,"position":53,"stack":[[{"start":{"row":107,"column":13},"end":{"row":107,"column":16},"action":"remove","lines":["UTC"],"id":2},{"start":{"row":107,"column":13},"end":{"row":107,"column":23},"action":"insert","lines":["Asia/... | normal | {
"blob_id": "f6b38698dbed6c1a48faa86183b601f855a7f737",
"index": 5728,
"step-1": "<mask token>\n",
"step-2": "{'filter': false, 'title': 'settings.py', 'tooltip': '/mysite/settings.py',\n 'undoManager': {'mark': 53, 'position': 53, 'stack': [[{'start': {'row':\n 107, 'column': 13}, 'end': {'row': 107, 'c... | [
0,
1,
2
] |
from flask import Flask, render_template
from flask_ask import Ask, statement, question, session
import reverse_geocoder as rg
from geopy import distance
from geopy.geocoders import Nominatim
import requests
import time
'''
:::::::: ::::::::: ::: :::::::: :::::::::: ::: ::: ::: ::: ... | normal | {
"blob_id": "726f133bcf592315c42f8701be8308422ffbf0d9",
"index": 426,
"step-1": "<mask token>\n\n\ndef where_is_the_iss_now():\n iss_now_website = 'http://api.open-notify.org/iss-now.json'\n webby = requests.get(iss_now_website)\n data = webby.json()\n if data['iss_position']:\n longitude = da... | [
8,
9,
11,
12,
17
] |
# Generated by Django 2.2.6 on 2019-11-05 02:28
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('drchrono', '0011_patient_cell_phone'),
]
operations = [
migrations.AddField(
model_name='appointment',
name='date',
... | normal | {
"blob_id": "0c7f2412fe9a83d70d41fbc4bbaf135e6bc4149a",
"index": 8129,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass Migration(migrations.Migration):\n <mask token>\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass Migration(migrations.Migration):\n dependencies = [('drchrono', ... | [
0,
1,
2,
3,
4
] |
#' % Computational Biology Lab 3
#' % Alois Klink
#' % 18 May 2017
#' # Converting Reaction Equations to a ODE
#' To convert many reaction equations to one ODE, one must first find the propensity
#' and the changes of each reaction.
#' The Reaction class takes a lambda function of the propensity and the change matri... | normal | {
"blob_id": "87a1624707e4a113a35d975518e432277c851e41",
"index": 9962,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nsystem.trajectories()\n<mask token>\nprint('r is ' + str(r))\nsystem.gillespieConcentrations(50000 * r)\nsystem.gillespieTrajectories([[0, 0], [4, 23]], 10000 * r)\n<mask token>\nsystem.g... | [
0,
1,
2,
3,
4
] |
TRAIN_INPUT_PATH = "~/Projects/competitions/titanic/data/train.csv"
TEST_INPUT_PATH = "~/Projects/competitions/titanic/data/test.csv"
OUTPUT_PATH = "output/"
TRAIN_VAL_SPLIT = 0.75
RANDOM_SEED = 42
MODEL = "LOGISTIC_REGRESSION"
LOG_PATH = "logs/"
| normal | {
"blob_id": "f1f708f00e05941c9a18a24b9a7556558583c3c7",
"index": 738,
"step-1": "<mask token>\n",
"step-2": "TRAIN_INPUT_PATH = '~/Projects/competitions/titanic/data/train.csv'\nTEST_INPUT_PATH = '~/Projects/competitions/titanic/data/test.csv'\nOUTPUT_PATH = 'output/'\nTRAIN_VAL_SPLIT = 0.75\nRANDOM_SEED = 42\... | [
0,
1,
2
] |
from tqdm import tqdm
import os
import pandas as pd
import pickle
import numpy as np
def inv_list(l, start=0):
d = {}
for i in range(len(l)):
d[l[i]] = i+start
return d
raw_data_path = '/home/reddy/sindhu/datasets/physionet_2012/'
def read_dataset(d):
ts = []
pbar = tqdm(os.listdir(raw_dat... | normal | {
"blob_id": "3e07a2a2d0a810c016720fa41d71d0771cbccfef",
"index": 626,
"step-1": "<mask token>\n\n\ndef inv_list(l, start=0):\n d = {}\n for i in range(len(l)):\n d[l[i]] = i + start\n return d\n\n\n<mask token>\n\n\ndef read_dataset(d):\n ts = []\n pbar = tqdm(os.listdir(raw_data_path + '/s... | [
2,
3,
4,
5,
6
] |
import numpy as np
class LayerBase(object):
def __init__(self, units_count, activation_func):
self.current_layer_dim = units_count
self.activation_func = activation_func
self.weights = None
self.bias = None
self.pre_activation = None
self.activation_layer = None
... | normal | {
"blob_id": "389ccddcbe2214ae5c012bc82a404a81942792d8",
"index": 1770,
"step-1": "<mask token>\n\n\nclass LayerBase(object):\n\n def __init__(self, units_count, activation_func):\n self.current_layer_dim = units_count\n self.activation_func = activation_func\n self.weights = None\n ... | [
4,
7,
9,
10,
12
] |
import sys
import os
import unittest
from wireless.trex_wireless_manager import APMode
from wireless.trex_wireless_manager_private import *
class APInfoTest(unittest.TestCase):
"""Tests methods for the APInfo class."""
def test_init_correct(self):
"""Test the __init__ method when parameters are corr... | normal | {
"blob_id": "ae5dfa7fa6a0d7349d6ae29aeac819903facb48f",
"index": 3518,
"step-1": "<mask token>\n\n\nclass APInfoTest(unittest.TestCase):\n <mask token>\n <mask token>\n <mask token>\n\n def test_init_no_ip(self):\n \"\"\"Test the __init__ method when parameter 'ip' is None.\n Since the ... | [
10,
11,
13,
14,
16
] |
from flask import jsonify
from flask_restful import Resource
from flask_apispec.views import MethodResource
import pandas as pd
import jellyfish
df = pd.read_csv('data/trancotop1m.csv')
df_dict = df.to_dict('records')
class StrComparison(MethodResource,Resource):
# @requires_auth
def get(self, domain):
... | normal | {
"blob_id": "6d974580ff546bda17caa1e61e2621b4bc705f3f",
"index": 2952,
"step-1": "<mask token>\n\n\nclass StrComparison(MethodResource, Resource):\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass StrComparison(MethodResource, Resource):\n\n def get(self, domain):\n domain_found = ''\n ... | [
1,
2,
3,
4,
5
] |
"""
Definition of SegmentTreeNode:
"""
class SegmentTreeNode:
def __init__(self, start, end):
self.start, self.end = start, end
self.left, self.right = None, None
class Solution:
"""
@param: start: start value.
@param: end: end value.
@return: The root of Segment Tree.
"""
... | normal | {
"blob_id": "5e20a517131f7a372d701548e4f370766a84ba52",
"index": 6134,
"step-1": "<mask token>\n\n\nclass Solution:\n <mask token>\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass Solution:\n \"\"\"\n @param: start: start value.\n @param: end: end value.\n @return: The root of Segment Tr... | [
1,
3,
4,
5,
6
] |
class Node:
def __init__(self, char = None):
self.char = char
self.children = []
self.end = False
root = Node('*')
curr = root
# recursive insert into the trie
def insert(s, curr):
if curr.children and curr.children[0].char == s[0]:
curr = curr.children[0]
elif len(curr.chi... | normal | {
"blob_id": "37c42a5e52832c81660e88f45d93e6a9f0300de0",
"index": 7654,
"step-1": "class Node:\n\n def __init__(self, char=None):\n self.char = char\n self.children = []\n self.end = False\n\n\n<mask token>\n\n\ndef search(sequence):\n tmp_node = root\n found = False\n for letter ... | [
3,
4,
5,
6,
7
] |
import os
import math
import time
from tqdm import tqdm
import torch
from torch import nn
import torch.optim as optim
from torch.nn import functional as F
from torch.nn.utils import clip_grad_norm_
from torch.utils.data import DataLoader
from nag.modules import Transformer, TransformerTorch
from nag.logger... | normal | {
"blob_id": "bc6c3383684cbba775d17f81ead3346fe1a01f90",
"index": 5102,
"step-1": "<mask token>\n\n\ndef train(epoch, model, dataloader, criterion, optimizer, scheduler):\n global global_train_step\n model.train()\n total_loss = 0.0\n bleu_score = 0.0\n distinct_1_score, distinct_2_score = 0.0, 0.0... | [
3,
4,
5,
6,
8
] |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""Install and activate pre-commit and its hooks into virtual environment."""
from __future__ import (absolute_import, division, print_function,
unicode_literals)
import os
import sys
# if sys.version_info[0] > 2 or sys.version_info[1] < 7:
# p... | normal | {
"blob_id": "210d1a184d338d77d4c41327d0a9e2a5a56eb2ae",
"index": 2724,
"step-1": "<mask token>\n",
"step-2": "<mask token>\ntry:\n VENV = os.environ[VENV_NAME]\n if VENV == '':\n print(\"Environment variable '%s' is empty\" % VENV_NAME)\n print('Please activate your virtualenv first')\n ... | [
0,
1,
2,
3,
4
] |
from __future__ import annotations
from abc import ABC, abstractmethod
class AbstractMoviment(ABC):
@abstractmethod
def move(self, dt) -> None:
pass
class Mov_LinearFall(AbstractMoviment):
def move(self, coordinates, speed, lastcoordinate, dt):
coordinates[1] = round(coordinates[1] + spe... | normal | {
"blob_id": "57935b560108ef0db59de9eee59aa0c908c58b8f",
"index": 2348,
"step-1": "<mask token>\n\n\nclass Mov_ZigZag(AbstractMoviment):\n <mask token>\n\n def move(self, coordinates, speed, startcoordinate, dt):\n ZigZageamento = 100\n coordinates[1] = round(coordinates[1] + speed * dt)\n ... | [
8,
9,
11,
12,
15
] |
from tracking.centroidtracker import CentroidTracker
from tracking.trackableobject import TrackableObject
import tensornets as nets
import cv2
import numpy as np
import time
import dlib
import tensorflow.compat.v1 as tf
import os
# For 'disable_v2_behavior' see https://github.com/theislab/scgen/issues/14
tf.disable_v2... | normal | {
"blob_id": "7b01e81c3e31e0a315ee01f36bf1b1f7384a9d10",
"index": 3597,
"step-1": "<mask token>\n",
"step-2": "<mask token>\ntf.disable_v2_behavior()\n<mask token>\nprint('Loading video {video_path}...'.format(video_path=video_path))\nif not os.path.exists(video_path):\n print('File does not exist. Exited.')... | [
0,
1,
2,
3,
4
] |
from django.db import models
class Location(models.Model):
id_location = models.AutoField(primary_key=True)
city = models.CharField(max_length=100, null=True)
street_name = models.CharField(max_length=100, null=True)
street_number = models.IntegerField(null=True)
zip = models.IntegerField(null=Tru... | normal | {
"blob_id": "914f477518918619e0e42184bd03c2a7ed16bb01",
"index": 86,
"step-1": "<mask token>\n\n\nclass Relation_type(models.Model):\n <mask token>\n <mask token>\n\n def __str__(self):\n return str(self.name)\n\n\nclass Relation(models.Model):\n id_relation = models.AutoField(primary_key=True... | [
9,
18,
20,
21,
24
] |
from django.http import HttpResponse, JsonResponse
from django.shortcuts import render
from django.views.generic.base import View
from elasticsearch import Elasticsearch
from elasticsearch_dsl import Search
# from com_search.get_info import Search as Search_1
# from com_search.models import CompanyType
import json
# Cr... | normal | {
"blob_id": "e5e7856d752f14e0671bae8d8b7997207c667ae1",
"index": 6602,
"step-1": "<mask token>\n\n\nclass SearchSuggest(View):\n <mask token>\n\n\nclass SearchDetail(View):\n\n def get(self, request):\n key_words = request.GET.get('q', '')\n data = {}\n if key_words:\n es = ... | [
5,
6,
7,
8,
9
] |
# -*- coding: UTF-8 -*-
# File Name: ll.py
# Author: Sam
# mail: samyunwei@163.com
# Created Time: 2016年03月09日 星期三 19时18分02秒
#########################################################################
#!/usr/bin/env python
def checkmark(marks):
if not isinstance(marks,list):
return 'marks Error'
else:
... | normal | {
"blob_id": "f98d6dd9ac4714c24ce070a1a81dc4610d04b97e",
"index": 6017,
"step-1": "# -*- coding: UTF-8 -*- \n# File Name: ll.py\n# Author: Sam\n# mail: samyunwei@163.com\n# Created Time: 2016年03月09日 星期三 19时18分02秒\n#########################################################################\n#!/usr/bin/env python\nde... | [
0
] |
"""
Plugin for ResolveUrl
Copyright (C) 2022 shellc0de
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
(at your option) any later version.
... | normal | {
"blob_id": "8dfea24545ec4bb95b66d4b5ff3c4936990eb73a",
"index": 9500,
"step-1": "<mask token>\n\n\nclass TubeloadResolver(ResolveUrl):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n def get_url(self, host, media_id):\n return self._default_get_url(host, media_id, template=... | [
2,
3,
4,
5,
6
] |
import array
def swap(arr, first, second):
"""
Swaps the first index with the second.
arr: an input array
first: an index in the array
second: an index in the array
This function has the side effect mentioned above.
"""
arr[first], arr[second] = arr[second], arr[first]
def parent(i... | normal | {
"blob_id": "1262d41be3bf873d003464cb23998dde20fde318",
"index": 8115,
"step-1": "<mask token>\n\n\ndef swap(arr, first, second):\n \"\"\"\n Swaps the first index with the second.\n\n arr: an input array\n first: an index in the array\n second: an index in the array\n\n This function has the si... | [
5,
7,
8,
10
] |
from .signals import get_restaurant_coordinates, count_average_price, count_total_calories
from .dish import Dish
from .ingredients import Ingredient
from .restaurants import Restaurant
| normal | {
"blob_id": "1935cab249bf559aeadf785ce7abcecb03344c04",
"index": 6058,
"step-1": "<mask token>\n",
"step-2": "from .signals import get_restaurant_coordinates, count_average_price, count_total_calories\nfrom .dish import Dish\nfrom .ingredients import Ingredient\nfrom .restaurants import Restaurant\n",
"step-... | [
0,
1
] |
# -*- coding: utf-8 -*-
# @Author: huerke
# @Date: 2016-09-03 10:55:54
# @Last Modified by: huerke
# @Last Modified time: 2016-09-03 15:54:50
from flask import render_template
from . import main
@main.app_errorhandler(404)
def page_not_found(e):
return render_template('404.html'), 404
@main.app_errorhandler... | normal | {
"blob_id": "021cbd1bd22f9ec48db2e52b2a98be169bbfdbbd",
"index": 5979,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\n@main.app_errorhandler(404)\ndef page_not_found(e):\n return render_template('404.html'), 404\n\n\n<mask token>\n",
"step-3": "<mask token>\n\n\n@main.app_errorhandler(404)\ndef ... | [
0,
1,
2,
3,
4
] |
aminotable = [
['Ile' , 'AUU','AUC','AUA'], #0
['Leu' , 'CUU','CUC','CUA','CUG','UUA','UUG'], #1
['Val' , 'GUU','GUC','GUA','GUG'], #2
['Phe' , 'UUU','UUC'], #3
['Met' , 'AUG'], ... | normal | {
"blob_id": "d5a31e53444e2efa2eb972f1152b6d3e37d5ab79",
"index": 5321,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint('Original sequence: ', sequence, '\\n')\n<mask token>\nprint('Amino Sequence: ')\nwhile n < seqlength:\n codon = sequence[n:n + 3]\n for amino in aminotable:\n for i in... | [
0,
1,
2,
3
] |
'''
Function Description
Complete the extraLongFactorials function in the editor below. It should print the result and return.
extraLongFactorials has the following parameter(s):
n: an integer
Note: Factorials of
can't be stored even in a
long long variable. Big integers must be used for such calcu... | normal | {
"blob_id": "5c1ce46f45da33acf75a7f47add811b14d58414d",
"index": 1169,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef extraLongFactorials(n):\n print(math.factorial(n))\n\n\n<mask token>\n",
"step-3": "<mask token>\n\n\ndef extraLongFactorials(n):\n print(math.factorial(n))\n\n\nif __name... | [
0,
1,
2,
3,
4
] |
import discord
from discord.ext import commands
from os import path
import os
import datetime as dt
import numpy as np
import math
# client = commands.Bot(command_prefix = '.', case_insensitive=True)
# UTOPIA = 679921845671035034
# DEV_BOT_TOKEN = 'NzUzMzg1MjE1MTAzMzM2NTg4.X1laqA.vKvoV8Gz9jBWDWvIaBGDC4xbLB4'
# BO... | normal | {
"blob_id": "bc8d3a5e3ed845b4ab2d203bec47881be64ba3f8",
"index": 3723,
"step-1": "<mask token>\n",
"step-2": "import discord\nfrom discord.ext import commands\nfrom os import path\nimport os\nimport datetime as dt\nimport numpy as np\nimport math\n",
"step-3": "import discord\nfrom discord.ext import command... | [
0,
1,
2
] |
from paper_processor import PaperProcessor
import logging
logging.basicConfig(
level=logging.DEBUG,
format='%(asctime)s - %(levelname)s - %(message)s')
q = "levamisole inhibitor"
p = PaperProcessor(q)
| normal | {
"blob_id": "96e64b715dbfc1c59ba44d608ad2694b165017b5",
"index": 1975,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nlogging.basicConfig(level=logging.DEBUG, format=\n '%(asctime)s - %(levelname)s - %(message)s')\n<mask token>\n",
"step-3": "<mask token>\nlogging.basicConfig(level=logging.DEBUG, fo... | [
0,
1,
2,
3,
4
] |
# coding: utf-8
# In[1]:
#coding:utf8
import matplotlib
import os
if 'DISPLAY' not in os.environ:
matplotlib.use('Agg')
else:
pass
import torch
import torch.nn as nn
from torch.autograd import Variable
import torch.optim as optim
from matplotlib import pyplot as plt
import seaborn as sns
from tqdm import tq... | normal | {
"blob_id": "3022cade3bfa36925bcbda8023e5cd98ed33d093",
"index": 9901,
"step-1": "<mask token>\n\n\ndef get_accuracy(model, kb):\n results = []\n for clause in kb.clauses:\n o1, o2 = model.forward(clause)\n if o2.data.numpy()[0][0] > 0.9:\n results.append(1.0)\n else:\n ... | [
2,
3,
4,
5,
6
] |
from django.shortcuts import render
from rest_framework import status
from rest_framework.decorators import api_view, renderer_classes
from rest_framework.renderers import BrowsableAPIRenderer, JSONRenderer
from rest_framework.response import Response
from feedback.models import Feedback
from feedback.serializers impor... | normal | {
"blob_id": "bd6c72c3215265a349c5f47573063a9288f64198",
"index": 5227,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\n@api_view(['GET', 'POST'])\n@renderer_classes([JSONRenderer, BrowsableAPIRenderer])\ndef feedback_list(request, format=None):\n \"\"\"\n List all feedback or create a new feedba... | [
0,
1,
2,
3
] |
# -*- coding: utf-8 -*-
"""
Created on Thu Feb 15 17:28:48 2018
@author: otalabay
"""
LOCAL_INFO = 1
LSM = 2
TLS = 3
TLS_STOP = 4
DANGER = 5
STOP_DANGER = 6
PM = 7
PM_STOP = 8 | normal | {
"blob_id": "db341c3686c53f1cd9fe98c532f17e872952cbba",
"index": 6733,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nLOCAL_INFO = 1\nLSM = 2\nTLS = 3\nTLS_STOP = 4\nDANGER = 5\nSTOP_DANGER = 6\nPM = 7\nPM_STOP = 8\n",
"step-3": "# -*- coding: utf-8 -*-\r\n\"\"\"\r\nCreated on Thu Feb 15 17:28:48 2018\... | [
0,
1,
2
] |
import os
import sys
import shutil
import re
dl_dir = '/home/acarnec/Downloads/'
college_dir = '/home/acarnec/Documents/3rdYear'
latex_dir = '/home/acarnec/Documents/Latex/'
modules = ['mta', 'ana', 'met', 'log', 'mat',
'lin', 'min', 'pol', 'mic', 'mte']
michaelmas = ['mta', 'ana', 'met', 'log', 'mat']... | normal | {
"blob_id": "3989b4c2a15fa8cd54fef86f9d7150fbd0fb74cf",
"index": 8724,
"step-1": "<mask token>\n\n\ndef change_directory(path):\n \"\"\" \n Changes directory to path. \n \"\"\"\n os.chdir(path)\n\n\n<mask token>\n\n\ndef get_key_from_values(f, catalog):\n \"\"\"\n Gets the full associated with ... | [
6,
9,
13,
15,
16
] |
from src.basepages.BreadCrumbTicketInfoBasePage import *
class BreadCrumbHomeBasePage:
def __init__(self):
""
def gotoTicketInfoBasePage(self,ticketInfoPage):
self.driver.get(ticketInfoPage)
breadCrumbTicketInfoBasePage = BreadCrumbTicketInfoBasePage()
breadCrumbTicketInfoBasePage.driver = self.driver
r... | normal | {
"blob_id": "47c1746c2edfe4018decd59efbacc8be89a1f49e",
"index": 3653,
"step-1": "<mask token>\n\n\nclass BreadCrumbHomeBasePage:\n <mask token>\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass BreadCrumbHomeBasePage:\n <mask token>\n\n def gotoTicketInfoBasePage(self, ticketInfoPage):\n ... | [
1,
2,
3,
4,
5
] |
"""
作用域
在Python中，当引用一个变量的时候，对这个【变量的搜索】是按照
本地作用域(Local)、
嵌套作用域(Enclosing function locals)、
全局作用域(Global)、
内置作用域(builtins模块)
的顺序来进行的，
即所谓的LEGB规则。
然而当在一个【函数内部为一个变量赋值】时，并不是按照上面所说LEGB规则来首先找到变量，之后为该变量赋值。在Python中，在函数中为一个变量赋值时，有下面这样一条规则
“当在函数中给一个变量名赋值是(而不是在一个表达式中对其进行引用)，Python总是🔹创建或改变本地作用域的变量名🔹，除非它已经在那个函数中被声明为全局变量. ”
"""
... | normal | {
"blob_id": "e98767fbac44f50f58c149e16124fef95b38cf71",
"index": 8190,
"step-1": "<mask token>\n\n\ndef func():\n x = 88\n\n\n<mask token>\n\n\ndef func_y():\n global y\n y = 101\n\n\n<mask token>\n\n\ndef func_e():\n count = 0\n\n def foo():\n nonlocal count\n count = 12\n foo()\... | [
3,
4,
5,
6,
7
] |
import sys
from . import cli
def main() ->None:
try:
command = sys.argv[0]
args = sys.argv[1:]
cli.main(command, args)
except KeyboardInterrupt:
pass
| normal | {
"blob_id": "9969dcf820a5ff34b483593cd43e4dfba9588ed2",
"index": 4348,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef main() ->None:\n try:\n command = sys.argv[0]\n args = sys.argv[1:]\n cli.main(command, args)\n except KeyboardInterrupt:\n pass\n",
"step-3": ... | [
0,
1,
2
] |
def filtra_acima(wires, origem):
return [wire for wire in wires if wire[0] > origem ]
def filtra_abaixo(wires, destino):
return [wire for wire in wires if wire[1] < destino ]
def calculate(wires):
count = 0
for i in xrange(len(wires)):
wires_acima = filtra_acima(wires, wires[i][0])
wir... | normal | {
"blob_id": "fa8d603fbea287161d31499f96a7fe7e56e8eaa1",
"index": 129,
"step-1": "def filtra_acima(wires, origem):\n return [wire for wire in wires if wire[0] > origem ]\n\ndef filtra_abaixo(wires, destino):\n return [wire for wire in wires if wire[1] < destino ]\n\ndef calculate(wires):\n count = 0\n ... | [
0
] |
def describe():
desc = """
Problem : Given a string, find the length of the longest substring in it with no more than K distinct characters.
For example :
Input: String="araaci", K=2
Output: 4
Explanation: The longest substring with no more than '2' distinct characters is "araa", where the distinct char... | normal | {
"blob_id": "1a730f4a5fa2be434af41a3e320cab8338d93644",
"index": 5050,
"step-1": "<mask token>\n\n\ndef main():\n describe()\n str = 'araaci'\n k = 2\n res = find_substr_with_distinct_chars(str, k)\n print('Input', str, k)\n print('Longest substring with k distinct chars is : ', res)\n print... | [
1,
2,
3,
4,
5
] |
flags =[]
sourcefiles:str = []
headerfiles:str = []
mainfile:str = ""
outfilename = "a.out"
assemblyfilename = "a.asm"
includedfilenames = []
class Variables:
size:bytes
name:str
class cstruct:
structname:string
def claprocessor():
print(sys.argv)
i=0
for stri in sys.argv:
if stri.... | normal | {
"blob_id": "24187284ff3e03cf79b8545415005c71f9355ddc",
"index": 9062,
"step-1": "<mask token>\n\n\nclass Variables:\n size: bytes\n name: str\n\n\nclass cstruct:\n structname: string\n\n\n<mask token>\n\n\ndef cpreprosscssor():\n maintokens = lexer(mainfile)\n return\n\n\ndef cprocessor():\n r... | [
4,
5,
6,
7,
8
] |
# Download the helper library from https://www.twilio.com/docs/python/install
from twilio.rest import Client
account_sid = 'AC76d9b17b2c23170b7019924f709f366b'
auth_token = '8fba7a54c6e3dc3754043b3865fa9d82'
client = Client(account_sid, auth_token)
user_sample = [
{
"_id": "5e804c501c9d440000986adc",
"name"... | normal | {
"blob_id": "67eb9985fc0ae9a00ce84a2460b69b00df1c9096",
"index": 3310,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nif user_sample[0].get('milesRan') >= user_sample[1].get('milesGoal'):\n message = client.messages.create(body='Oh, no! ' + user_sample[0].get(\n 'name') +\n ' surpassed y... | [
0,
1,
2,
3,
4
] |
#!/usr/bin/env python
'''
Generate tree search dot file
'''
import copy
# Colors supported by graphviz, in some pleasing order
colors = {
"fa": "brown",
"fb": "brown1",
"ea": "cadetblue",
"eb": "cadetblue1",
"pa": "orange",
"pb": "orange4"
}
curId = 1
capAset = 4
capBset = 7
goal = 2
de... | normal | {
"blob_id": "599da0f045ab5c2b3f568def3d89452b56cac029",
"index": 9083,
"step-1": "#!/usr/bin/env python\n\n'''\n Generate tree search dot file\n'''\nimport copy\n\n# Colors supported by graphviz, in some pleasing order\ncolors = {\n \"fa\": \"brown\",\n \"fb\": \"brown1\",\n \"ea\": \"cadetblue\",\n ... | [
0
] |
#!/usr/bin/env python
#
# Copyright (C) University College London, 2007-2012, all rights reserved.
#
# This file is part of HemeLB and is CONFIDENTIAL. You may not work
# with, install, use, duplicate, modify, redistribute or share this
# file, or any part thereof, other than as allowed by any agreement
# specifical... | normal | {
"blob_id": "7700e3c4061f0e81a1dea8fa8b27a0380fc26e71",
"index": 7171,
"step-1": "<mask token>\n\n\nclass TestFabric(unittest.TestCase):\n\n def setUp(self):\n env.test_home = os.path.join(env.localroot, 'deploy', 'test')\n user_config = yaml.load(open(os.path.join(env.localroot, 'deploy',\n ... | [
12,
14,
16,
19,
20
] |
"""
LeetCode Problem: 242. Valid Anagram
Link: https://leetcode.com/problems/valid-anagram/
Written by: Mostofa Adib Shakib
Language: Python
"""
class Solution(object):
def isAnagram(self, s, t):
"""
:type s: str
:type t: str
:rtype: bool
"""
length1 = len(s... | normal | {
"blob_id": "a4f932a8566afe0265dc1057d0f6534a608697f7",
"index": 365,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass Solution(object):\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass Solution(object):\n\n def isAnagram(self, s, t):\n \"\"\"\n :type s: str\n :t... | [
0,
1,
2,
3
] |
# coding:utf-8
class SpiderMiddlewares1(object):
def process_request(self, request):
print(u"SpiderMiddlewares1 process_request {}".format(request.url))
return request
def process_item(self, item):
print(u"SpiderMiddlewares1 process_item {}".format(item.data))
return item
cl... | normal | {
"blob_id": "8a2ab260f4758bcca7b1a68d1fb65b7eebab5533",
"index": 2518,
"step-1": "<mask token>\n\n\nclass SpiderMiddlewares2(object):\n\n def process_request(self, request):\n print(u'SpiderMiddlewares2 process_request {}'.format(request.url))\n return request\n\n def process_item(self, item)... | [
3,
4,
5,
6,
7
] |
def tetrahedron_filled(tetrahedrons, water):
var=0
br=0
tetrahedrons.sort()
for numbers in tetrahedrons:
v=(tetrahedrons[var]**3*(2**0.5))/12000
if v<water:
br=br+1
water=water-v
var=var+1
print (br)
print (tetrahedron_filled([1000,10],10)) | normal | {
"blob_id": "c926e16ef2daa5978b6c71e7794721d320bb9b1e",
"index": 1224,
"step-1": "<mask token>\n",
"step-2": "def tetrahedron_filled(tetrahedrons, water):\n var = 0\n br = 0\n tetrahedrons.sort()\n for numbers in tetrahedrons:\n v = tetrahedrons[var] ** 3 * 2 ** 0.5 / 12000\n if v < w... | [
0,
1,
2,
3
] |
#Import Discord Package
import discord
from discord.ext import commands
import asyncio
import glob
from dotenv import load_dotenv
import os
load_dotenv() # Load your Discord Token
TOKEN = os.getenv("TOKEN")
bot = commands.Bot(command_prefix='.',case_insensitive=True)
print('Ready!')
@bot.command()
async def stop... | normal | {
"blob_id": "41842e8b75860c65e87e9db1f7ae058957e37e45",
"index": 1822,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nload_dotenv()\n<mask token>\nprint('Ready!')\n\n\n@bot.command()\nasync def stop(ctx):\n await ctx.message.delete()\n await ctx.voice_client.disconnect()\n\n\n@bot.command()\nasync ... | [
0,
1,
2,
3,
4
] |
strings = ['(())())', '(((()())()', '(()())((()))', '((()()(()))(((())))()', '()()()()(()()())()', '(()((())()(']
#print(string[0])
'''
for i in string:
testlist = []
for j in string[i]:
if j == ')':
if
'''
def isVPS(phrase):
testlist = []
for char in phrase:
if char == '(... | normal | {
"blob_id": "d9f055301f050eea4281ce418974546c1245ac7e",
"index": 4621,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef isVPS(phrase):\n testlist = []\n for char in phrase:\n if char == '(':\n testlist.append(char)\n elif len(testlist) == 0:\n return 'NO'\n... | [
0,
1,
2,
3,
4
] |
import requests
#!/usr/bin/env python
from confluent_kafka import Producer, KafkaError
import json
import ccloud_lib
delivered_records = 0
url = "https://api.mockaroo.com/api/cbb61270?count=1000&key=5a40bdb0"
# Optional per-message on_delivery handler (triggered by poll() or flush())
# when a message has be... | normal | {
"blob_id": "b4f522398cd2658c2db926216e974781e10c44df",
"index": 7897,
"step-1": "<mask token>\n\n\ndef get_data():\n r = requests.get(url)\n return '{ \"data\": ' + str(r.text) + '}'\n\n\ndef main():\n args = ccloud_lib.parse_args()\n config_file = args.config_file\n topic = args.topic\n conf ... | [
2,
4,
5,
6,
7
] |
from PIL import Image, ImageStat
import os
import shutil
# full white photo - 255.0
# full black photo - 0.0
class ImageSelection:
def __init__(self, path):
self.path = path
def brightness_check(self, image):
'''count function to set value of brightness, 0 - full black, 100 - fu... | normal | {
"blob_id": "897075810912e8360aa5cdedda3f12ce7c868263",
"index": 4547,
"step-1": "<mask token>\n\n\nclass ImageSelection:\n\n def __init__(self, path):\n self.path = path\n\n def brightness_check(self, image):\n \"\"\"count function to set value of brightness, 0 - full black, 100 - full brigh... | [
5,
6,
7,
8,
9
] |
from texttable import Texttable
from nexuscli import exception
from nexuscli.api import cleanup_policy
from nexuscli.cli import constants
def cmd_list(nexus_client):
"""Performs ``nexus3 cleanup_policy list``"""
policies = nexus_client.cleanup_policies.list()
if len(policies) == 0:
return excepti... | normal | {
"blob_id": "521b90ffb4bace4cbd50d08ed4be278d4f259822",
"index": 7049,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef cmd_create(nexus_client, **kwargs):\n \"\"\"Performs ``nexus3 cleanup_policy create``\"\"\"\n policy = cleanup_policy.CleanupPolicy(None, **kwargs)\n nexus_client.cleanup... | [
0,
1,
2,
3,
4
] |
쫲𪪌𤣬㐭𤙵⃢姅幛𑄹馻돷軔ሠ𡺶ײַ𢊅𠞡鞿𭞎𦠟𦔻뜸𣦏蛫履뜟𢒰疅𗕢𨞧漷𫴫礴𬽣𨚒𠻚ﾟ罉ꉷ🕸𡑁𩂱𑫌抿锃𫕊𦿮橖𓋊𧭠酞Ё햾𞄶𪳧蕱ꗍ𐊯𬏷먽𬻩뱩𗼾𠑧銋𝂥蘒굳뜀𬜀𮧛𡐔𭋇𭘡𬙒蕶믅𬂚𡟐剿𨸒ﾵ𮩨烘𮩽𭚱𗨦ﳇ큿턽쾘𩁻ꫲ𗨿蚀𨊍胗𗔑鼴𨵾㽡𩠌ݜ𪢭𩘼넴𤩭𬩽𢺤𫅬𧁏響𬶉喡𘨘뉵𨲊Ζ𥀐𩨇𠮢⏂𭖳𫓢𧛃𦥮単𦇭𮏨𬋪婓츏𪱔𭄿𦭺𣍵蹖🨞ޝ仂䱔讔ﭑ𨹟𐊁ﱥ𧅔𓇪뽼𗩢픛𖮌䮁ီ邾ࢠ㭨𣯇𩱵𥋭ѽ샑𭹓𫳃𧝽𥲇ᛲ𘁕粣𣑑ᒔ𣥕쯞⒋𩍥纝攂𨄷ͭ𧲵퍃氩𢐅𤵲뎋𥵘黴𤼩𬝉ⶌ𥬥𧺥浞🇴𑨲𠎆筬⌝༤쾘𤌲ы𡚎𑲙㽰𐛱𫛛�... | normal | {
"blob_id": "76c1929e901fce469661a299184765875d0eb53f",
"index": 3658,
"step-1": "쫲𪪌𤣬㐭𤙵⃢姅幛𑄹馻돷軔ሠ𡺶ײַ𢊅𠞡鞿𭞎𦠟𦔻뜸𣦏蛫履뜟𢒰疅𗕢𨞧漷𫴫礴𬽣𨚒𠻚ﾟ罉ꉷ🕸𡑁𩂱𑫌抿锃𫕊𦿮橖𓋊𧭠酞Ё햾𞄶𪳧蕱ꗍ𐊯𬏷먽𬻩뱩𗼾𠑧銋𝂥蘒굳뜀𬜀𮧛𡐔𭋇𭘡𬙒蕶믅𬂚𡟐剿𨸒ﾵ𮩨烘𮩽𭚱𗨦ﳇ큿턽쾘𩁻ꫲ𗨿蚀𨊍胗𗔑鼴𨵾㽡𩠌ݜ𪢭𩘼넴𤩭𬩽𢺤𫅬𧁏響𬶉喡𘨘뉵𨲊Ζ𥀐𩨇𠮢⏂𭖳𫓢𧛃𦥮単𦇭𮏨𬋪婓츏𪱔𭄿𦭺𣍵蹖🨞ޝ仂䱔讔ﭑ𨹟𐊁ﱥ𧅔𓇪뽼... | [
0
] |
# Software License Agreement (BSD License)
#
# Copyright (c) 2009-2011, Eucalyptus Systems, Inc.
# All rights reserved.
#
# Redistribution and use of this software in source and binary forms, with or
# without modification, are permitted provided that the following conditions
# are met:
#
# Redistributions of source ... | normal | {
"blob_id": "920cd41b18f5cfb45f46c44ed707cebe682d4dd9",
"index": 820,
"step-1": "# Software License Agreement (BSD License)\n#\n# Copyright (c) 2009-2011, Eucalyptus Systems, Inc.\n# All rights reserved.\n#\n# Redistribution and use of this software in source and binary forms, with or\n# without modification, ar... | [
0
] |
from ..lib import read_input, write_output
def link_bits(num: str = None, bit_i: str = '0', bit_j: str = '0', write: bool = True) -> int:
if num is None:
num, bit_i, bit_j = read_input()
num = int(num, 2)
num_len = num.bit_length()
mask = 2 ** num_len - 1
first_i = (num >> (num_len - int(b... | normal | {
"blob_id": "113572682ca83408b7c22e0e178f29945d741142",
"index": 6672,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef link_bits(num: str=None, bit_i: str='0', bit_j: str='0', write: bool=True\n ) ->int:\n if num is None:\n num, bit_i, bit_j = read_input()\n num = int(num, 2)\n ... | [
0,
1,
2,
3,
4
] |
from rest_framework import serializers
from api.models.Phones import Phones
class PhoneSerializer(serializers.ModelSerializer):
class Meta:
model = Phones
fields = (
'id', 'number', 'area_code', 'country_code'
)
| normal | {
"blob_id": "e3ba6395a8d7272fc7e5a8be37e6b0b18c355e14",
"index": 9272,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass PhoneSerializer(serializers.ModelSerializer):\n\n\n class Meta:\n model = Phones\n fields = 'id', 'number', 'area_code', 'country_code'\n",
"step-3": "from re... | [
0,
1,
2,
3
] |
import twitter
def twitter_authenticate():
return;
def identify_dupes():
return;
def remove_dupes():
return;
def get_tweets():
return;
| normal | {
"blob_id": "d4683d055ca70f31b050f0d84cb93c030feb4593",
"index": 2179,
"step-1": "<mask token>\n\n\ndef twitter_authenticate():\n return\n\n\n<mask token>\n\n\ndef get_tweets():\n return\n",
"step-2": "<mask token>\n\n\ndef twitter_authenticate():\n return\n\n\n<mask token>\n\n\ndef remove_dupes():\n ... | [
2,
3,
4,
5,
6
] |
#!/usr/bin/env python
import mincemeat
import sys
from mapinput import FileShardsMapInput
from mapinput import JsonFileMapInput
def mapfn(k, v):
for w in v.split():
yield w, 1
def reducefn(k, vs):
result = 0
for v in vs:
result += v
return result
s = mincemeat.Server()
s.map_input =... | normal | {
"blob_id": "09c6dd0f32b8d71dacdd8b10d995ea1575f91f6f",
"index": 2887,
"step-1": "<mask token>\n\n\ndef mapfn(k, v):\n for w in v.split():\n yield w, 1\n\n\ndef reducefn(k, vs):\n result = 0\n for v in vs:\n result += v\n return result\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n... | [
2,
3,
4,
5,
6
] |
ss = str(input())
print(len(ss) - ss.count(' '))
| normal | {
"blob_id": "7f72f6a2ff0c7ceacb0f893d04c20402e850421a",
"index": 1840,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(len(ss) - ss.count(' '))\n",
"step-3": "ss = str(input())\nprint(len(ss) - ss.count(' '))\n",
"step-4": null,
"step-5": null,
"step-ids": [
0,
1,
2
]
} | [
0,
1,
2
] |
import random
def generatePassword ():
numLowerCase = numUpperCase = numSpecialCase = numNumber = 0
password = ""
randomChars = "-|@.,?/!~#%^&*(){}[]\=*"
length = random.randint(10, 25)
while(numSpecialCase < 1 or numNumber < 1 or numLowerCase < 1 or numUpperCase < 1):
password = ""
... | normal | {
"blob_id": "3956d4cdb0a8654b6f107975ac003ce59ddd3de1",
"index": 4485,
"step-1": "<mask token>\n\n\ndef main():\n print(generatePassword())\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\ndef generatePassword():\n numLowerCase = numUpperCase = numSpecialCase = numNumber = 0\n password = ''\n ran... | [
1,
2,
3,
4,
5
] |
import ray
import os
import sys
import random
path_join = os.path.join
real_path = os.path.realpath
perfd_dir = real_path(path_join(os.getcwd()))
microps_dir = path_join(perfd_dir, "thirdparty", "microps")
sys.path += [perfd_dir, microps_dir]
from thirdparty.microps.oracle.experiments.spark_sql_perf.main import Spar... | normal | {
"blob_id": "25595b5f86a41fee1dc43f199f3bcff73f6d256b",
"index": 9418,
"step-1": "<mask token>\n\n\n@ray.remote\ndef run(run_config: dict, wrks: dict) ->dict:\n try:\n add_spk_role()\n except:\n print('run, spark: ignore')\n os.chdir(microps_dir)\n base_spk_config = spk.apps_config_map[... | [
1,
2,
3,
4,
5
] |
from artichoke import DefaultManager, Config
from artichoke.helpers import read, prompt
from fabric.api import env, task, run
import os
chars = ''.join(chr(c) if chr(c).isupper() or chr(c).islower() else '_' for c in range(256))
class MagicDefaultManager(DefaultManager):
def __init__(self, env):
self.en... | normal | {
"blob_id": "09f032301fa9389f6b07687e0ee13844e0b4ddf3",
"index": 249,
"step-1": "from artichoke import DefaultManager, Config\nfrom artichoke.helpers import read, prompt\nfrom fabric.api import env, task, run\nimport os\n\nchars = ''.join(chr(c) if chr(c).isupper() or chr(c).islower() else '_' for c in range(256... | [
0
] |
from .menu import menu
from .create_portfolio import create_portfolio
from .search import search
from .list_assets import list_assets
from .add_transaction import add_transaction
from .stats import stats
from .info import info
| normal | {
"blob_id": "f2abb7ea3426e37a10e139d83c33011542e0b3d1",
"index": 3863,
"step-1": "<mask token>\n",
"step-2": "from .menu import menu\nfrom .create_portfolio import create_portfolio\nfrom .search import search\nfrom .list_assets import list_assets\nfrom .add_transaction import add_transaction\nfrom .stats impor... | [
0,
1
] |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu May 7 03:41:18 2020
@author: owlthekasra
"""
import methods as md
import add_label as al
import numpy as np
import pandas as pd
import random
sb_rd_1 = '/Users/owlthekasra/Documents/Code/Python/AudioStimulus/data/sine_bass/trials_2'
sb_rd_2 = '/Users... | normal | {
"blob_id": "54d714d1e4d52911bcadf3800e7afcc2c9a615a5",
"index": 6743,
"step-1": "<mask token>\n\n\ndef subtract_moving_average(df, n=50):\n k = n\n bgnorm = pd.DataFrame(np.zeros((len(df), len(df.columns))))\n for j in range(0, len(df)):\n for i in range(0, len(df.columns)):\n indices... | [
2,
4,
5,
6,
7
] |
# -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'test1.ui'
#
# Created by: PyQt5 UI code generator 5.7
#
# WARNING! All changes made in this file will be lost!
from PyQt5 import QtCore, QtGui, QtWidgets
class Ui_Dialog(object):
def setupUi(self, Dialog):
Dialog.setObjectName(... | normal | {
"blob_id": "3222dd7c2d19d86f2e085cb489ab4a48307ba132",
"index": 7458,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass Ui_Dialog(object):\n <mask token>\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass Ui_Dialog(object):\n\n def setupUi(self, Dialog):\n Dialog.setObjectNam... | [
0,
1,
2,
4,
5
] |
import sys, serial, time, signal, threading
from MFRC522 import MFRC522
from event import Event
class Sensor(threading.Thread):
# main program for reading and processing tags
def __init__(self, name):
threading.Thread.__init__(self)
self.name = name
self.continue_reading = False
self.tag_reader = MFRC522()
... | normal | {
"blob_id": "c179d27f1620414061d376d4f30d2ddd4fd2750e",
"index": 3842,
"step-1": "import sys, serial, time, signal, threading\nfrom MFRC522 import MFRC522\nfrom event import Event\n\nclass Sensor(threading.Thread):\n\n\t# main program for reading and processing tags\n\tdef __init__(self, name):\n\t\tthreading.Th... | [
0
] |
from django.urls import path
from group import views
app_name = 'group'
urlpatterns = [
path('group/',views.CreateGroup.as_view(), name='group_create'),
path('shift/',views.CreateShift.as_view(), name='shift_create'),
path('subject/',views.createSubject.as_view(), name='subject_create'),
] | normal | {
"blob_id": "0b7e858eb6d4a5f3cf6aca4fea994dae9f889caa",
"index": 4781,
"step-1": "<mask token>\n",
"step-2": "<mask token>\napp_name = 'group'\nurlpatterns = [path('group/', views.CreateGroup.as_view(), name=\n 'group_create'), path('shift/', views.CreateShift.as_view(), name=\n 'shift_create'), path('su... | [
0,
1,
2,
3
] |
#!/usr/bin/python
import os
import psycopg2
import datetime
import time
import json
import decimal
import requests
import csv
import asyncio
from config import get_connection, get_db_sql, get_sql_record_count, CORP_TYPES_IN_SCOPE, corp_num_with_prefix, bare_corp_num
from orgbook_data_load import (
get_orgbook_all... | normal | {
"blob_id": "cdb49af584ae7befcaebfd9bb303073c8229667e",
"index": 3433,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nasync def process_credential_queue():\n print(\"Get exported wallet id's from agent\", datetime.datetime.now())\n agent_wallet_ids = get_agent_wallet_ids()\n print(\"# wallet... | [
0,
1,
2,
3,
4
] |
import FWCore.ParameterSet.Config as cms
class StageOneCustomize():
"""
Customizaton class for STXS stage 1 analysis
"""
def __init__(self, process, customize, metaConditions):
self.process = process
self.customize = customize
self.metaConditions = metaConditions
se... | normal | {
"blob_id": "ce12ede15f4ca4a085e38e455515d8a028da8fd2",
"index": 2115,
"step-1": "<mask token>\n\n\nclass StageOneCustomize:\n <mask token>\n\n def __init__(self, process, customize, metaConditions):\n self.process = process\n self.customize = customize\n self.metaConditions = metaCond... | [
6,
7,
8,
9,
10
] |
import asyncio
import logging
import os
from async_cron.job import CronJob
from async_cron.schedule import Scheduler
from sqlalchemy import asc
import spider
import squid
import verifier
from db import sess_maker
from model import Proxy, STATUS_OK, STATUS_ERROR
from server import run_api_server
from tool import logge... | normal | {
"blob_id": "1d529e2ea5526ddcda0d0da30ed8ed4724002c63",
"index": 7074,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nlogging.basicConfig(level=logging.INFO, datefmt='%Y/%m/%d %H:%M:%S', format\n ='%(asctime)s - %(name)s - %(levelname)s - %(message)s')\n<mask token>\n\n\n@cron_wait\nasync def verify_e... | [
0,
1,
2,
3,
4
] |
from django.contrib import admin
from .models import Spot
from leaflet.admin import LeafletGeoAdmin
class SpotAdmin(LeafletGeoAdmin):
pass
admin.site.register(Spot, SpotAdmin)
| normal | {
"blob_id": "7633944366c6655306bc41087b19a474e9c414b5",
"index": 7688,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass SpotAdmin(LeafletGeoAdmin):\n pass\n\n\n<mask token>\n",
"step-3": "<mask token>\n\n\nclass SpotAdmin(LeafletGeoAdmin):\n pass\n\n\nadmin.site.register(Spot, SpotAdmin)\... | [
0,
1,
2,
3
] |
import tkinter.ttk
import tkinter as tk
def update_info(info_t, data):
# temp = info_t.selection_set("x")
# print(temp)
# info_t.delete(temp)
# temp = info_t.selection_set("y")
# info_t.delete(temp)
pass
def path_to_string(s):
res = ""
for i in range(len(s)-1):
res += str(s[i... | normal | {
"blob_id": "a4d47b9a28ec66f6a0473498674ebc538d909519",
"index": 5111,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef path_to_string(s):\n res = ''\n for i in range(len(s) - 1):\n res += str(s[i][0])\n res += ', '\n res += str(s[i][1])\n res += ' > '\n res += ... | [
0,
3,
4,
5,
6
] |
from . import FixtureTest
class GatesLineGeometry(FixtureTest):
def test_linear_gate(self):
# Add barrier:gates with line geometries in landuse
# Line barrier:ghate feature
self.load_fixtures(['http://www.openstreetmap.org/way/391260223'])
self.assert_has_feature(
16, ... | normal | {
"blob_id": "2192e328bdfa454ff1d1f66a05fb6a322c48b244",
"index": 2847,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass GatesLineGeometry(FixtureTest):\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass GatesLineGeometry(FixtureTest):\n\n def test_linear_gate(self):\n self.load_... | [
0,
1,
2,
3,
4
] |
from time import sleep
import sys
def cmdline():
available_commands = ['help', 'quit', 'echo', 'pbar', 'joke']
keepgoing = True
while (keepgoing):
typed = input("Type something. (Type 'help' for options)")
words = [w for w in typed.split(" ")]
command = words[0].lower()
argu... | normal | {
"blob_id": "a028661f9bcaa6dfe5389cb57f31b07d7e981487",
"index": 9890,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef cmdline():\n available_commands = ['help', 'quit', 'echo', 'pbar', 'joke']\n keepgoing = True\n while keepgoing:\n typed = input(\"Type something. (Type 'help' for... | [
0,
1,
2,
3,
4
] |
#!/usr/bin/env python
from xrouter import api
api.main()
| normal | {
"blob_id": "64368679aa2e387e25a36b2f3d0312a99b819e95",
"index": 2147,
"step-1": "<mask token>\n",
"step-2": "<mask token>\napi.main()\n",
"step-3": "from xrouter import api\napi.main()\n",
"step-4": "#!/usr/bin/env python\nfrom xrouter import api\napi.main()\n",
"step-5": null,
"step-ids": [
0,
... | [
0,
1,
2,
3
] |
import datetime, time, threading, os
from . import queues
logLevels = ["none", "info", "debug"]
level = "none"
def write(message):
queues.logger_queue.put(message)
def runLogger():
while True:
# The log path should be read from config. Pass into logger?
log_path = "/home/pi/Desktop/Projects/r... | normal | {
"blob_id": "91188b55b0f5d8277812d82711f5bcde82819b30",
"index": 9563,
"step-1": "<mask token>\n\n\ndef runLogger():\n while True:\n log_path = '/home/pi/Desktop/Projects/rose/robot_code/logs/'\n try:\n os.makedirs(log_path)\n except FileExistsError:\n pass\n ... | [
3,
4,
5,
6,
7
] |
text = input('Ввести имя файла: ')
def a():
lines = 0
words = 0
letters = 0
for line in open(f'{text}.txt', 'r'):
lines += 1
letters += len(line.strip('.,:-()!?;)"\'\n}'))
words += len(line.split())
return f'Lines = {lines}, words = {words}, letters = {letters}'
print(a()... | normal | {
"blob_id": "2a65287588fe1337ba1a6f7c2e15e0505611d739",
"index": 2228,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef a():\n lines = 0\n words = 0\n letters = 0\n for line in open(f'{text}.txt', 'r'):\n lines += 1\n letters += len(line.strip('.,:-()!?;)\"\\'\\n}'))\n ... | [
0,
1,
2,
3
] |
import os
import time
import json
import click
import click_log
import logging
from flightsio.scraper import FlightScraper
logger = logging.getLogger(__name__)
click_log.basic_config(logger)
@click.group()
def main():
"""
An empty click group, required in order to bundle the other commands.
"""
pass... | normal | {
"blob_id": "234aad868ea71bbe476b303bcff37221820f1d90",
"index": 4310,
"step-1": "<mask token>\n\n\n@click.group()\ndef main():\n \"\"\"\n An empty click group, required in order to bundle the other commands.\n \"\"\"\n pass\n\n\n<mask token>\n\n\n@main.command(help=\n \"\"\"Reads the route list b... | [
4,
6,
7,
8,
10
] |
# -*- coding: utf-8 -*-
"""Application configuration.
See https://github.com/sloria/cookiecutter-flask for configuration options with other flask-extensions
"""
import os
class Config(object):
"""Base configuration."""
SECRET_KEY = os.environ.get('DELIVERY_ASSISTANT_SECRET', 'secret-key') # TODO: Change me... | normal | {
"blob_id": "4cc1c8668a84cc6faadf60053568d155b8852c5f",
"index": 5643,
"step-1": "<mask token>\n\n\nclass DevConfig(Config):\n <mask token>\n ENV = 'dev'\n DEBUG = True\n\n\nclass TestConfig(Config):\n \"\"\"Test configuration.\"\"\"\n TESTING = True\n DEBUG = True\n",
"step-2": "<mask token>... | [
5,
9,
11,
13,
14
] |
from django.contrib.auth.models import User
from django.db import models
class Chat(models.Model):
category = models.CharField(unique=True, max_length=100)
def __str__(self):
return self.category
class ChatMessage(models.Model):
context = models.CharField(max_length=1000)
user = models.Fore... | normal | {
"blob_id": "61179dc734069017adaabd53804ed0102d9416e3",
"index": 8865,
"step-1": "<mask token>\n\n\nclass ChatMessage(models.Model):\n context = models.CharField(max_length=1000)\n user = models.ForeignKey(User, on_delete=models.CASCADE)\n chat = models.ForeignKey(Chat, on_delete=models.CASCADE)\n ti... | [
3,
4,
5,
6,
7
] |
#!/usr/bin/python
# -*- coding: utf-8 -*-
import asyncio
from typing import TYPE_CHECKING, Optional
if TYPE_CHECKING:
from myshell.environment import Environment
from myshell.job import Job, JobState
class JobManager:
"""事务管理器，用以调度前台和后台事务"""
def __init__(self, environment: "Environment"):
self... | normal | {
"blob_id": "e09f914f00e59124ef7d8a8f183bff3f7f74b826",
"index": 5869,
"step-1": "<mask token>\n\n\nclass JobManager:\n <mask token>\n\n def __init__(self, environment: 'Environment'):\n self.foreground_job: Optional[Job] = None\n self.background_jobs: list[Optional[Job]] = [None]\n se... | [
11,
12,
14,
15,
16
] |
from command import Command, is_command, CommandException
from event import Event
class ItemInfo(Command):
@is_command
def item_info(self, player, *args):
if len(args) == 0:
raise CommandException(CommandException.NOT_ENOUGH_ARGUMENTS)
item_id = args[0]
if item_id in playe... | normal | {
"blob_id": "6b2bd6954f188626fa857ffc37611d3f971d22e2",
"index": 5259,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass ItemInfo(Command):\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass ItemInfo(Command):\n\n @is_command\n def item_info(self, player, *args):\n if len(args... | [
0,
1,
2,
3,
4
] |
default_app_config = "assistant.additionalpage.apps.AdditionalPageAppConfig"
| normal | {
"blob_id": "0e2c71ab4f194af3c2ee65c2cbd6f36921eb587e",
"index": 2079,
"step-1": "<mask token>\n",
"step-2": "default_app_config = 'assistant.additionalpage.apps.AdditionalPageAppConfig'\n",
"step-3": "default_app_config = \"assistant.additionalpage.apps.AdditionalPageAppConfig\"\n",
"step-4": null,
"ste... | [
0,
1,
2
] |
class Solution(object):
def isIsomorphic(self, s, t):
"""
:type s: str
:type t: str
:rtype: bool
"""
exist = set()
s_to_t = {}
if len(s) != len(t):
return False
for i, v in enumerate(s):
if v not in s_t... | normal | {
"blob_id": "b4e2897e20448d543c93402174db7da4066a8510",
"index": 5144,
"step-1": "<mask token>\n\n\nclass Solution_ref(object):\n\n def isIsomorphic(self, s, t):\n return [s.find(i) for i in s] == [t.find(j) for j in t]\n\n\n<mask token>\n",
"step-2": "class Solution(object):\n <mask token>\n\n\nc... | [
2,
3,
4,
5,
6
] |
num1 = 101
num2 = 20
add = num1 + num2
sub = num1 - num2
mul = num1 * num2
div = num1 / num2
mod = num1 % num2
exp = num1 ** num2
fd = num1 // num2
print(num1)
print(num2)
print(add)
print(sub)
print(mul)
print(div)
print(mod)
print(exp)
print(fd)
| normal | {
"blob_id": "3ffbef142d8fb53b734567ebea874f9c59ff9a9e",
"index": 1455,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(num1)\nprint(num2)\nprint(add)\nprint(sub)\nprint(mul)\nprint(div)\nprint(mod)\nprint(exp)\nprint(fd)\n",
"step-3": "num1 = 101\nnum2 = 20\nadd = num1 + num2\nsub = num1 - num2\nm... | [
0,
1,
2
] |
from enum import IntEnum
class DaqListType(IntEnum):
"""
This class describes a daq list type.
"""
DAQ = 0x01
STIM = 0x02
DAQ_STIM = 0x03 | normal | {
"blob_id": "71e0137fc02b4f56bdf87cc15c275f5cca1588c4",
"index": 8925,
"step-1": "<mask token>\n\n\nclass DaqListType(IntEnum):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass DaqListType(IntEnum):\n <mask token>\n DAQ = 1\n STIM = 2\n ... | [
1,
2,
3,
4,
5
] |
Relevance
Thus, designing an automatic MWP solver, with semantic understanding and
inference capability, has been considered as a crucial step towards general AI.
Solving a math problem manually involves too many steps. So MWP will reduc
Attachment final.pdf added.Conversation opened. 1 read message.
Skip ... | normal | {
"blob_id": "eb6a4170e5427f10eda4d650996c2cbd8a34ca21",
"index": 2667,
"step-1": "Relevance\r\n\r\nThus, designing an automatic MWP solver, with semantic understanding and\r\n inference capability, has been considered as a crucial step towards general AI. \r\n Solving a math problem manually involves too many s... | [
0
] |
/Applications/anaconda2/lib/python2.7/warnings.py | normal | {
"blob_id": "cd2062055e30fc37a5f00f4bce6ffd9ea5eda860",
"index": 4134,
"step-1": "/Applications/anaconda2/lib/python2.7/warnings.py",
"step-2": null,
"step-3": null,
"step-4": null,
"step-5": null,
"step-ids": [
0
]
} | [
0
] |
# import os,sys
# BASE_DIR=os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
# sys.path.append(BASE_DIR)
from lib import common
from conf import settings
import random
import pickle
import os
import xlrd
import time
class Base:
def save(self):
file_path=r'%s/%s' %(self.DB_PATH,self.id)
p... | normal | {
"blob_id": "7cd6a8a106c21e8e377666d584e19d30c607b7d2",
"index": 9345,
"step-1": "<mask token>\n\n\nclass Subject(Base):\n <mask token>\n <mask token>\n <mask token>\n\n @classmethod\n def filter_question(cls):\n id_l = os.listdir(settings.QUESTION_PATH)\n r_id_l = random.sample(id_l... | [
21,
23,
24,
27,
30
] |
from ipyleaflet import Map, DrawControl, Marker, Rectangle
from sentinelhub import BBox, CRS
from ipywidgets import widgets as w
class BBoxSelector:
def __init__(self, bbox, zoom=8, resolution=10):
center = (bbox.min_y + bbox.max_y) / 2, (bbox.min_x + bbox.max_x) / 2
self.map = Map(center=center,... | normal | {
"blob_id": "0545aff80e19e47cb9e5b1941e92ff5cb109f9e6",
"index": 1921,
"step-1": "<mask token>\n\n\nclass BBoxSelector:\n\n def __init__(self, bbox, zoom=8, resolution=10):\n center = (bbox.min_y + bbox.max_y) / 2, (bbox.min_x + bbox.max_x) / 2\n self.map = Map(center=center, zoom=zoom, scroll_w... | [
3,
4,
5,
6,
7
] |
from django.conf.urls import url
from tipz import views
urlpatterns = [
# /tipz/
url(r'^$', views.IndexView.as_view(), name='index'),
# /tipz/login
url(r'^login/$', views.LoginFormView.as_view(), name='login'),
# /tipz/logout
url(r'^logout/$', views.LogoutFormView.as_view(), name='logout'),
... | normal | {
"blob_id": "3ea123aceb72e4731afe98cf4c5beced2d424035",
"index": 3302,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nurlpatterns = [url('^$', views.IndexView.as_view(), name='index'), url(\n '^login/$', views.LoginFormView.as_view(), name='login'), url(\n '^logout/$', views.LogoutFormView.as_view(... | [
0,
1,
2,
3
] |
import random
def createRandomPhoneNumber():
phoneNumberFront = ['130', '131', '132', '133', '134', '135', '136',
'137', '138', '139', '150', '151', '152', '153', '158', '159',
'177', '180', '181', '182', '183', '186', '188', '189']
phoneNumberBack = []
for i in range(8):
phoneNumb... | normal | {
"blob_id": "5e8f9a222fb2c35b4720e48f0277481e410aee47",
"index": 2791,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef createRandomPhoneNumber():\n phoneNumberFront = ['130', '131', '132', '133', '134', '135', '136',\n '137', '138', '139', '150', '151', '152', '153', '158', '159',\n ... | [
0,
1,
2
] |
__author__ = "Rick Sherman"
__credits__ = "Jeremy Schulman, Nitin Kumar"
import unittest
from nose.plugins.attrib import attr
from jnpr.junos import Device
from jnpr.junos.utils.scp import SCP
from mock import patch
@attr('unit')
class TestScp(unittest.TestCase):
def setUp(self):
self.dev = Device(host... | normal | {
"blob_id": "65ea40ad1c1bf6bf23aed5316b91862c9cdc353d",
"index": 5564,
"step-1": "<mask token>\n\n\n@attr('unit')\nclass TestScp(unittest.TestCase):\n <mask token>\n <mask token>\n\n @patch('paramiko.SSHClient')\n def test_scp_close(self, mock_connect):\n self.dev.bind(scp=SCP)\n self.d... | [
4,
6,
7,
8,
9
] |
import socket
import sys
from datetime import datetime
from threading import Thread
import logging
class RRConnection():
def __init__(self):
self._listenerSocket = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
self._inSock = None
self._inThread = Thread(target=self.inLoop)
self... | normal | {
"blob_id": "2ccc5e01a3b47a77abcb32160dee74a6a74fcfbb",
"index": 5808,
"step-1": "<mask token>\n\n\nclass RRConnection:\n <mask token>\n <mask token>\n\n def stop(self):\n self._isRunning = False\n self._listenerSocket.close()\n self._inSock.close()\n <mask token>\n <mask toke... | [
7,
12,
13,
16,
19
] |
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