code stringlengths 13 6.09M | order_type stringclasses 2
values | original_example dict | step_ids listlengths 1 5 |
|---|---|---|---|
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os.path
import re
import sys
import tarfile
import numpy as np
from six.moves import urllib
import tensorflow as tf
from sklearn.model_selection import train_test_split
from sklearn import datasets
fro... | normal | {
"blob_id": "8ef20a7a93d6affabe88dad4e5d19613fe47dd0f",
"index": 5399,
"step-1": "<mask token>\n\n\ndef create_graph():\n \"\"\"Creates a graph from saved GraphDef file and returns a saver.\"\"\"\n with tf.gfile.FastGFile(os.path.join('/home/ubuntu/hdd/tensorFlowDic/',\n 'classify_image_graph_def.pb... | [
2,
3,
4,
5,
6
] |
#!/usr/bin/env python3
# coding=utf-8
# title :paramiko_sftp.py
# description :
# author :JackieTsui
# organization :pytoday.org
# date :1/16/18 9:22 PM
# email :jackietsui72@gmail.com
# notes :
# ==================================================
# Import the module n... | normal | {
"blob_id": "64cf6b03fb68be8a23c6e87c8d68d0a42db0eb54",
"index": 6451,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nparamiko.util.log_to_file('syslogin.log')\n<mask token>\nt.connect(username=jumpuser, password=jumppass)\n<mask token>\nsftp.put(localpath, remotepath)\nsftp.close()\n<mask token>\nssh.se... | [
0,
1,
2,
3,
4
] |
# -*- coding: utf-8 -*-
# !/usr/bin/python
import re
import sys
import xlwt
import os
'''
python logcat_time.py config_file logcat_file
'''
config_file = sys.argv[1]
logcat_file = sys.argv[2]
turns_time = 0
turn_compelete_flag = 0
def get_filePath_fileName_fileExt(filename):
(filepath, tempfilename) = os.path.s... | normal | {
"blob_id": "585c0f89605f1d791b449f42412174f06d0c5db5",
"index": 5163,
"step-1": "# -*- coding: utf-8 -*-\n# !/usr/bin/python\nimport re\nimport sys\nimport xlwt\nimport os\n\n'''\npython logcat_time.py config_file logcat_file\n'''\n\nconfig_file = sys.argv[1]\nlogcat_file = sys.argv[2]\n\nturns_time = 0\nturn_c... | [
0
] |
from django.contrib import admin
from django.contrib.staticfiles.urls import static # 本Ch11.1
from django.urls import path, include
from . import settings_common, settings_dev # 本Ch11.1
import debug_toolbar
urlpatterns = [
path('admin/', admin.site.urls),
path('', include('login_test_app.urls')),
path('... | normal | {
"blob_id": "ce626afa7c0fd2e190afd92b57a0ebebf19f9e9b",
"index": 6842,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nurlpatterns += static(settings_common.MEDIA_URL, document_root=settings_dev\n .MEDIA_ROOT)\n",
"step-3": "<mask token>\nurlpatterns = [path('admin/', admin.site.urls), path('', inclu... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
class GetCollectionItemidsTest(TestCase):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
class GetCollectionItemAssetURLsTest(TestCase):
def setUp(self):
"""
Setting up the required test data input for importer tas... | flexible | {
"blob_id": "b131107d2161634e2c09e0b3ab80dd322d13fbc2",
"index": 2881,
"step-1": "<mask token>\n\n\nclass GetCollectionItemidsTest(TestCase):\n <mask token>\n <mask token>\n <mask token>\n\n\nclass GetCollectionItemAssetURLsTest(TestCase):\n\n def setUp(self):\n \"\"\"\n Setting up the ... | [
16,
25,
31,
33,
38
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def upgrade(migrate_engine):
meta.bind = migrate_engine
table.create()
def downgrade(migrate_engine):
meta.bind = migrate_engine
table.drop()
<|reserved_special_token_1|>
<|reserved_special_token_0|>
meta = ... | flexible | {
"blob_id": "6154979cd2853dd2bd26d1ae5df7365efa0141c2",
"index": 441,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef upgrade(migrate_engine):\n meta.bind = migrate_engine\n table.create()\n\n\ndef downgrade(migrate_engine):\n meta.bind = migrate_engine\n table.drop()\n",
"step-3": "... | [
0,
2,
3,
4,
5
] |
from flask import Flask, jsonify, request, send_file, render_template
from flask_cors import CORS
from twilio.rest import Client
import autocomplete
from gtts import gTTS
import os
# Set up the model.
autocomplete.load()
app = Flask(__name__)
CORS(app)
# The application
@app.route("/")
def index():
return render_tem... | normal | {
"blob_id": "8980ac4db2657d3dbd2b70b33a4d13a077d4590e",
"index": 2266,
"step-1": "<mask token>\n\n\nclass InvalidUsage(Exception):\n status_code = 400\n\n def __init__(self, message, status_code=None, payload=None):\n Exception.__init__(self)\n self.message = message\n if status_code i... | [
7,
9,
10,
11,
13
] |
import logging
import os
import logzero
from gunicorn.glogging import Logger
_log_level = os.environ.get("LOG_LEVEL", "info").upper()
log_level = getattr(logging, _log_level)
log_format = "%(color)s[%(levelname)1.1s %(asctime)s %(name)s]%(end_color)s %(message)s"
formatter = logzero.LogFormatter(fmt=log_format)
logg... | normal | {
"blob_id": "b8b50ef021c4b25edbab355e1db5d62d3c5a28ad",
"index": 7257,
"step-1": "<mask token>\n\n\nclass GunicornLogger(Logger):\n <mask token>\n",
"step-2": "<mask token>\nlogzero.setup_logger(**logger_args)\nlogzero.setup_default_logger(**logger_args)\n<mask token>\n\n\nclass GunicornLogger(Logger):\n\n ... | [
1,
3,
4,
5,
6
] |
<|reserved_special_token_0|>
def run():
mod = 1000000007
N, *AB = map(int, read().split())
A_B = []
INF = float('inf')
zerozero = 0
for i in range(N):
a = AB[2 * i]
b = AB[2 * i + 1]
if a == 0 and b == 0:
zerozero += 1
elif b == 0:
A_B.ap... | flexible | {
"blob_id": "f73a3bd7665ac9cc90085fcac2530c93bef69d3d",
"index": 6705,
"step-1": "<mask token>\n\n\ndef run():\n mod = 1000000007\n N, *AB = map(int, read().split())\n A_B = []\n INF = float('inf')\n zerozero = 0\n for i in range(N):\n a = AB[2 * i]\n b = AB[2 * i + 1]\n if... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
print(name[0], name[2])
print(name[1:3])
print(name[:3])
print(name[0:3])
print(name[-2:])
name.append('666')
name.insert(1, '999')
print(name)
<|reserved_special_token_0|>
print(name)
name.pop()
print(name)
name.pop(2)
print(name... | flexible | {
"blob_id": "d517c1e2eb4d37a2584f1603c704efce6834df92",
"index": 7443,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(name[0], name[2])\nprint(name[1:3])\nprint(name[:3])\nprint(name[0:3])\nprint(name[-2:])\nname.append('666')\nname.insert(1, '999')\nprint(name)\n<mask token>\nprint(name)\nname.pop... | [
0,
1,
2,
3,
4
] |
count=0
def merge(a, b):
global count
c = []
h = j = 0
while j < len(a) and h < len(b):
if a[j] <= b[h]:
c.append(a[j])
j += 1
else:
count+=(len(a[j:]))
c.append(b[h])
h += 1
if j == len(a):
for i in b[h:]:
... | normal | {
"blob_id": "cf3b66a635c6549553af738f263b035217e75a7a",
"index": 903,
"step-1": "<mask token>\n\n\ndef merge_sort(lists):\n if len(lists) <= 1:\n return lists\n middle = len(lists) // 2\n left = merge_sort(lists[:middle])\n right = merge_sort(lists[middle:])\n return merge(left, right)\n\n\... | [
1,
2,
3,
4,
5
] |
#!/usr/bin/env python
#coding=utf-8
"""
__init__.py
:license: BSD, see LICENSE for more details.
"""
import os
import logging
import sys
from logging.handlers import SMTPHandler, RotatingFileHandler
from flask import Flask, g, session, request, flash, redirect, jsonify, url_for
from flaskext.babel import Ba... | normal | {
"blob_id": "ef124e8c15ef347efd709a5e3fb104c7fd1bccde",
"index": 2753,
"step-1": "<mask token>\n\n\ndef on_identity_changed(app, identity):\n g.identity = identity\n session['identity'] = identity\n\n\ndef configure_signals(app):\n identity_changed.connect(on_identity_changed, app)\n\n\n<mask token>\n\n... | [
6,
8,
9,
10,
13
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
if sm.hasItem(4310100, 1):
sm.setSpeakerID(9390220)
sm.sendSayOkay(
"You can't start your voyage until you finish the tutorial quest!")
else:
sm.setSpeakerID(9390220)
sm.sendNext(
'What? You threw away the coins without finishi... | flexible | {
"blob_id": "c4b9fdba9e9eeccc52999dab9232302f159c882a",
"index": 588,
"step-1": "<mask token>\n",
"step-2": "if sm.hasItem(4310100, 1):\n sm.setSpeakerID(9390220)\n sm.sendSayOkay(\n \"You can't start your voyage until you finish the tutorial quest!\")\nelse:\n sm.setSpeakerID(9390220)\n sm.... | [
0,
1,
2
] |
from collections import deque
n = -1
D = [(-1 , 0) , (0 , 1) , (1 , 0) , (0 , -1)]
B = -1
up = 0
right = 1
down = 2
left = 3
dic = {}
dic[0] = 'up'
dic[1] = 'right'
dic[2] = 'down'
dic[3] = 'left'
def possi(y , x):
global n
if y < 0 or y >= n or x < 0 or x >= n or B[y][x]:
return False
return True
... | normal | {
"blob_id": "feb912ac899208618f00c894458c1fda7a402652",
"index": 1452,
"step-1": "<mask token>\n\n\ndef possi(y, x):\n global n\n if y < 0 or y >= n or x < 0 or x >= n or B[y][x]:\n return False\n return True\n\n\ndef move(d, ay, ax, by, bx):\n ay += D[d][0]\n by += D[d][0]\n ax += D[d][... | [
4,
5,
6,
7,
8
] |
<|reserved_special_token_0|>
def index(request, err_msg=None):
"""
Renders the index page.
"""
template = loader.get_template('aimodel/index.html')
context = {}
context['err_msg'] = err_msg
return HttpResponse(template.render(context, request))
<|reserved_special_token_0|>
@require_POS... | flexible | {
"blob_id": "41ca762fe6865613ae4ef2f657f86b516353676f",
"index": 9784,
"step-1": "<mask token>\n\n\ndef index(request, err_msg=None):\n \"\"\"\n Renders the index page.\n \"\"\"\n template = loader.get_template('aimodel/index.html')\n context = {}\n context['err_msg'] = err_msg\n return Http... | [
13,
16,
17,
19,
22
] |
import matplotlib.pyplot as plt
file_list = ["Quantification_comet_fdr.csv",
"Quantification_crux_fdr.csv",
"Quantification_msfg_fdr.csv",
"Quantification_msfg_percolator.csv"]
file_titles = ["Comet",
"Crux",
"MSGFPlus",
"MSGFPlus + Pe... | normal | {
"blob_id": "e08159a51b611ce6d0ca354a4fe6759d00af2cb7",
"index": 660,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor file_name in file_list:\n proteins = 0\n peptides = 0\n for line_index, line in enumerate(open(file_name, 'r')):\n if line_index > 3:\n proteins += 1\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 django import forms
from django.forms import ModelForm
from .models import Noticia
class NoticiaForm(ModelForm):
class Meta:
model = Noticia
fields = ['idNoticia', 'resumen', 'titulo', 'categoria']
| normal | {
"blob_id": "e7a283e0e0e16e9adb415b26d724b2ee84c4f4f8",
"index": 1547,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass NoticiaForm(ModelForm):\n\n\n class Meta:\n model = Noticia\n fields = ['idNoticia', 'resumen', 'titulo', 'categoria']\n",
"step-3": "from django import forms... | [
0,
1,
2
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
try:
print(int(s) + 1)
print(int(s) / 1)
except ValueError as ve:
print('ValueError occurs!!!', ve)
except ZeroDivisionError as e:
print('ValueError occurs!!!', e)
except:
print('Error occurs!!!')
else:
pri... | flexible | {
"blob_id": "1bf79319613ca1454f3a9ed21068bd899616395c",
"index": 624,
"step-1": "<mask token>\n",
"step-2": "<mask token>\ntry:\n print(int(s) + 1)\n print(int(s) / 1)\nexcept ValueError as ve:\n print('ValueError occurs!!!', ve)\nexcept ZeroDivisionError as e:\n print('ValueError occurs!!!', e)\ne... | [
0,
1,
2,
3
] |
import smtplib
import subprocess
import time
class NotifyError(Exception):
def __init__(self, message):
self.message = message
class Notification(object):
def __init__(self, config, dry_run):
self.dry_run = dry_run
self.notifications = {}
def submit(self, recipient, message):
... | normal | {
"blob_id": "01849a6bf5ce5eb75c549af28312f61711ad2494",
"index": 4425,
"step-1": "<mask token>\n\n\nclass Notification(object):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n\nclass SendMail(Notification):\n\n def __init__(self, config, dry_run)... | [
11,
12,
15,
20,
21
] |
import logging
from typing import List, Optional
import uuid
from pydantic import BaseModel
from obsei.payload import TextPayload
from obsei.preprocessor.base_preprocessor import (
BaseTextPreprocessor,
BaseTextProcessorConfig,
)
logger = logging.getLogger(__name__)
class TextSplitterPayload(BaseModel):
... | normal | {
"blob_id": "151cc71ff1a63897238e2cc55269bd20cc6ee577",
"index": 2336,
"step-1": "<mask token>\n\n\nclass TextSplitterConfig(BaseTextProcessorConfig):\n max_split_length: int = 512\n split_stride: int = 0\n document_id_key: Optional[str]\n\n\nclass TextSplitter(BaseTextPreprocessor):\n\n def preproce... | [
4,
5,
6,
7,
8
] |
from elasticsearch import Elasticsearch, helpers
from bso.server.main.config import ES_LOGIN_BSO_BACK, ES_PASSWORD_BSO_BACK, ES_URL
from bso.server.main.decorator import exception_handler
from bso.server.main.logger import get_logger
client = None
logger = get_logger(__name__)
@exception_handler
def get_client():
... | normal | {
"blob_id": "9f760c0cf2afc746a1fc19ac68d1b2f406c7efe1",
"index": 5767,
"step-1": "<mask token>\n\n\n@exception_handler\ndef get_doi_not_in_index(index, dois):\n es = get_client()\n results = es.search(index=index, body={'query': {'bool': {'filter': [{\n 'terms': {'doi.keyword': dois}}]}}, 'fields': ... | [
7,
8,
9,
11,
13
] |
# -*- coding: utf-8 -*-
import unittest
import torch
from pythainlp.transliterate import romanize, transliterate, pronunciate, puan
from pythainlp.transliterate.ipa import trans_list, xsampa_list
from pythainlp.transliterate.thai2rom import ThaiTransliterator
from pythainlp.corpus import remove
_BASIC_TESTS = {
... | normal | {
"blob_id": "486cfc4bb4b46d78715b11cba44656e8ba077c9b",
"index": 2551,
"step-1": "<mask token>\n\n\nclass TestTransliteratePackage(unittest.TestCase):\n <mask token>\n\n def test_romanize_royin_basic(self):\n for word in _BASIC_TESTS:\n expect = _BASIC_TESTS[word]\n self.assert... | [
6,
8,
10,
11,
12
] |
<|reserved_special_token_0|>
class ParticipantAdmin(admin.ModelAdmin):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class ParticipantAdmin(admin.ModelAdmin):
fieldset... | flexible | {
"blob_id": "c43b899234ffff09225153dcaf097591c7176430",
"index": 841,
"step-1": "<mask token>\n\n\nclass ParticipantAdmin(admin.ModelAdmin):\n <mask token>\n <mask token>\n <mask token>\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\nclass ParticipantAdmin(admin.ModelAdmin):\n fieldsets = [('Per... | [
1,
2,
3,
4,
5
] |
#!/usr/bin/env python2
# -*- coding: utf-8 -*-
"""
Created on Tue May 19 17:27:57 2020
@author: li
"""
import numpy as np
from opendr.renderer import ColoredRenderer
from opendr.lighting import LambertianPointLight
from opendr.camera import ProjectPoints
import cPickle as pkl
from models.smpl import Smpl, copy_smpl,... | normal | {
"blob_id": "2540e2752edaedbf2a011a25cb90f220ae770757",
"index": 7611,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nwith open(model_file, 'rb') as fp:\n model_data = pkl.load(fp)\n<mask token>\nfor i in range(70563, 70564):\n imgname = mpi_inf_valid['imgname'][i]\n rgb_img = cv2.imread(join(RO... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def pagination(request, queryset, display_amount=15, after_range_num=5,
bevor_range_num=4):
paginator = Paginator(queryset, display_amount)
try:
page = int(request.GET['page'])
except:
page = 1
... | flexible | {
"blob_id": "7a2b33d1763e66335c6a72a35082e20725cab03d",
"index": 3318,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef pagination(request, queryset, display_amount=15, after_range_num=5,\n bevor_range_num=4):\n paginator = Paginator(queryset, display_amount)\n try:\n page = int(req... | [
0,
1,
2,
3
] |
from quiz.schema.base import Schema
from quiz.schema.schemas import UserSchemas
class RegisterSchema(Schema):
"""
注册
"""
_schema = UserSchemas.REG_SCHEMA.value
class LoginSchema(Schema):
"""
登录
"""
_schema = UserSchemas.LOGIN_SCHEMA.value
| normal | {
"blob_id": "e0d7fb8a9799c91dca0ca0827a5149804c9efabb",
"index": 7082,
"step-1": "<mask token>\n\n\nclass RegisterSchema(Schema):\n <mask token>\n <mask token>\n\n\nclass LoginSchema(Schema):\n \"\"\"\n 登录\n \"\"\"\n _schema = UserSchemas.LOGIN_SCHEMA.value\n",
"step-2": "<mask token>\n\n\ncl... | [
4,
5,
6,
7
] |
from cancion import *
class NodoLista:
def __init__(self, cancion, s, a):
self.elemento = cancion
self.siguiente = s
self.anterior = a
| normal | {
"blob_id": "1fb3904d48905ade8f83b6e052057e80302ec5a7",
"index": 4253,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass NodoLista:\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass NodoLista:\n\n def __init__(self, cancion, s, a):\n self.elemento = cancion\n self.siguien... | [
0,
1,
2,
3
] |
##############################################################################
#
# Copyright (c) 2003 Zope Foundation and Contributors.
# All Rights Reserved.
#
# This software is subject to the provisions of the Zope Public License,
# Version 2.1 (ZPL). A copy of the ZPL should accompany this distribution.
# THIS SOF... | normal | {
"blob_id": "13c0af340c4fff815919d7cbb1cfd3116be13771",
"index": 7907,
"step-1": "<mask token>\n\n\nclass PyHookableTests(PyHookableMixin, unittest.TestCase):\n\n def test_pure_python(self):\n from zope.hookable import _PURE_PYTHON\n from zope.hookable import _c_hookable\n from zope.hooka... | [
20,
24,
28,
30,
35
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
if exists(filename):
f = open(filename)
footprint = f.read()
f.close()
headerEndIndex = footprint.find('(pad ')
header = footprint[:headerEndIndex]
lastPadIndex = headerEndIndex
while footprint.find('(p... | flexible | {
"blob_id": "c71e367ad320d7eadabbbfda728d94448db6441d",
"index": 2109,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nif exists(filename):\n f = open(filename)\n footprint = f.read()\n f.close()\n headerEndIndex = footprint.find('(pad ')\n header = footprint[:headerEndIndex]\n lastPadIn... | [
0,
1,
2,
3,
4
] |
# -*- coding: utf-8 -*-
import urllib
from urllib2 import HTTPError
from datetime import datetime
from flask.views import MethodView
from flask.ext.login import current_user, login_required
from flask.ext.paginate import Pagination as PaginationBar
from flask import render_template, redirect, url_for, request, jsonify... | normal | {
"blob_id": "1a561ca0268d084c8fdde5de65ce0c7e68154eec",
"index": 4993,
"step-1": "<mask token>\n\n\nclass OperationLog(MethodView):\n decorators = [login_required, admin_required]\n\n def get(self, page):\n per_page = 10\n count = UserOperation.query.count()\n query = UserOperation.que... | [
17,
24,
27,
37,
47
] |
<|reserved_special_token_0|>
def read_atomic_data(path):
if not path or not os.path.exists(path) or not os.path.isfile(path):
print('To begin with, your path to data should be proper!')
sys.exit(1)
df = pd.read_csv(path)
columns = df.columns.tolist()
columns = columns[:-1]
df = pd.... | flexible | {
"blob_id": "1e34087719f6fd0456d2722edbd0a7af68d37e4c",
"index": 1577,
"step-1": "<mask token>\n\n\ndef read_atomic_data(path):\n if not path or not os.path.exists(path) or not os.path.isfile(path):\n print('To begin with, your path to data should be proper!')\n sys.exit(1)\n df = pd.read_csv... | [
2,
3,
4,
5,
6
] |
<|reserved_special_token_0|>
def swap_dns(live_alias, future_value, alias_dns_name, zone, records):
"""
:description: Changes alias (blue.<domain> or green.<domain>) that is behind live url.
:param
live_alias: Your external DNS record pointing to live web server.
future_alias: blue.<domain... | flexible | {
"blob_id": "dc928da92dc7e8a37a7f32dd4a579fd09b89eb01",
"index": 4955,
"step-1": "<mask token>\n\n\ndef swap_dns(live_alias, future_value, alias_dns_name, zone, records):\n \"\"\"\n :description: Changes alias (blue.<domain> or green.<domain>) that is behind live url.\n :param\n live_alias: Your ... | [
1,
10,
14,
15,
23
] |
<|reserved_special_token_0|>
class MyModel:
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|rese... | flexible | {
"blob_id": "48270f70a9d69d15f808f22ec2d11d337b2c4845",
"index": 7414,
"step-1": "<mask token>\n\n\nclass MyModel:\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n\n<mask token>\n",
"step-2": "<... | [
1,
2,
3,
5,
6
] |
# Author: Andreas Francois Vermeulen
print("CrawlerSlaveYoke")
print("CSY-000000023.py")
| normal | {
"blob_id": "322795bce189428823c45a26477555052c7d5022",
"index": 8933,
"step-1": "<mask token>\n",
"step-2": "print('CrawlerSlaveYoke')\nprint('CSY-000000023.py')\n",
"step-3": "# Author: Andreas Francois Vermeulen\nprint(\"CrawlerSlaveYoke\")\nprint(\"CSY-000000023.py\")\n",
"step-4": null,
"step-5": nu... | [
0,
1,
2
] |
from tkinter import *
from tkinter import messagebox
from tkinter import ttk
from PIL import Image, ImageTk
import time
import socket
import threading
root = Tk()
root.title("Tic-Tac-Toe")
root.geometry('600x600')
winner = False
def start_thread(target):
thread = threading.Thread(target=target)
... | normal | {
"blob_id": "cc924892afe179e55166ea9b237b2bfe8ea900df",
"index": 2120,
"step-1": "<mask token>\n\n\ndef start_thread(target):\n thread = threading.Thread(target=target)\n thread.daemon = True\n thread.start()\n\n\n<mask token>\n\n\ndef receive_data():\n while True:\n data = sock.recv(1024).dec... | [
5,
6,
7,
8,
9
] |
# ELABORE UM PROGRAMA QUE CALCULE O A SER PAGO POR UM PRODUTO CONSIDERANDO O PRECO NORMAL E A FORMA DE PAGAMENTO
# a vista dinehiro ou cheque: 10%
# a vista no cartao: 5%
# 2x: preco normal
# 3x ou mais: 20% de juros | normal | {
"blob_id": "fa271d3888dc60582fa0883eaf9f9ebbdffeed9d",
"index": 3064,
"step-1": "# ELABORE UM PROGRAMA QUE CALCULE O A SER PAGO POR UM PRODUTO CONSIDERANDO O PRECO NORMAL E A FORMA DE PAGAMENTO\n# a vista dinehiro ou cheque: 10%\n# a vista no cartao: 5%\n# 2x: preco normal\n# 3x ou mais: 20% de juros",
"step-... | [
1
] |
#!/usr/bin/env python
import rospy
import cv2
import numpy as np
from cv_bridge import CvBridge
from matplotlib import pyplot as plt
from sensor_msgs.msg import Image
from drone_app_msgs.msg import BBox, Drone, DroneArray
from rospy.numpy_msg import numpy_msg
# ---------------------------------------
# This is an impl... | normal | {
"blob_id": "e864dad3f46fc9c6c472823bd06ce74fb5cb3f41",
"index": 462,
"step-1": "<mask token>\n\n\ndef processFrame(image_message):\n frame = CvBridge().imgmsg_to_cv2(image_message)\n frame_hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)\n mask = cv2.inRange(frame_hsv, (0, 0, 0, 0), (180, 255, 30, 0))\n ... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
class Task(object):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
@staticmethod
def rotate_file(input_file, output_dir, degrees, expand):
output_file_name = os.path.basename(input_file)
output_file = os.path.join(output_dir, output_file_name)
... | flexible | {
"blob_id": "df3208a00f7a5dd1ddd76542ac0de85762cc45ab",
"index": 7236,
"step-1": "<mask token>\n\n\nclass Task(object):\n <mask token>\n <mask token>\n\n @staticmethod\n def rotate_file(input_file, output_dir, degrees, expand):\n output_file_name = os.path.basename(input_file)\n output_... | [
2,
3,
4,
6,
7
] |
from Crypto.PublicKey import DSA
from Crypto.Signature import DSS
from Crypto.Hash import SHA256
import os
import time
kB = 1024 # 1kB
with open('small_file.txt', 'wb') as f:
f.write(os.urandom(kB))
mB = 10485760 # 1GB
with open('large_file.txt', 'wb') as f:
f.write(os.urandom(mB))
Begin = time.time()
key = ... | normal | {
"blob_id": "d24bbfc3587a2a79891a11e00ec865498c01c286",
"index": 2101,
"step-1": "<mask token>\n\n\ndef DSA_2048(filename, key):\n with open(filename, 'rb') as f:\n message = f.read()\n hash_obj = SHA256.new(message)\n signer = DSS.new(key, 'fips-186-3')\n signature = signer.sign(h... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
class Reader:
<|reserved_special_token_0|>
<|reserved_special_token_1|>
class Reader:
@staticmethod
def read_file(file_path):
return ''
| flexible | {
"blob_id": "8c51b2c06f971c92e30d6b2d668fdd2fd75142d2",
"index": 4846,
"step-1": "<mask token>\n",
"step-2": "class Reader:\n <mask token>\n",
"step-3": "class Reader:\n\n @staticmethod\n def read_file(file_path):\n return ''\n",
"step-4": null,
"step-5": null,
"step-ids": [
0,
... | [
0,
1,
2
] |
<|reserved_special_token_0|>
def saveImg(imgurl, downLoadType):
fileLocation = directoryLocation + '\\' + downLoadType + '\\' + title
if not os.path.exists(fileLocation):
os.makedirs(fileLocation)
file = fileLocation + '\\' + str(count + 1) + '.png'
urlretrieve(imgurl, filename=file)
retur... | flexible | {
"blob_id": "7bcdd6c5c6e41b076e476e1db35b663e34d74a67",
"index": 1885,
"step-1": "<mask token>\n\n\ndef saveImg(imgurl, downLoadType):\n fileLocation = directoryLocation + '\\\\' + downLoadType + '\\\\' + title\n if not os.path.exists(fileLocation):\n os.makedirs(fileLocation)\n file = fileLocati... | [
3,
4,
5,
6,
7
] |
"""
Created on Fri Jan 07 20:53:58 2022
@author: Ankit Bharti
"""
from unittest import TestCase, main
from cuboid_volume import *
class TestCuboid(TestCase):
def test_volume(self):
self.assertAlmostEqual(cuboid_volume(2), 8)
self.assertAlmostEqual(cuboid_volume(1), 1)
self.assertAlmostE... | normal | {
"blob_id": "394f835064d070a30040b6f01b25b6f0e005827d",
"index": 5010,
"step-1": "<mask token>\n\n\nclass TestCuboid(TestCase):\n <mask token>\n\n def test_input_value(self):\n self.assertRaises(TypeError, cuboid_volume, 'ank')\n <mask token>\n\n def test_addition_input_value(self):\n s... | [
3,
5,
6,
7,
8
] |
<|reserved_special_token_0|>
class Subjects(object):
def __init__(self):
self.store = list()
def add(self, subjects):
if isinstance(subjects, (list, tuple)):
self.store.extend(subjects)
elif isinstance(subjects, str):
self.store.append(subjects)
else:
... | flexible | {
"blob_id": "8787126e654808a5fec52283780d9b4f668fa50f",
"index": 8593,
"step-1": "<mask token>\n\n\nclass Subjects(object):\n\n def __init__(self):\n self.store = list()\n\n def add(self, subjects):\n if isinstance(subjects, (list, tuple)):\n self.store.extend(subjects)\n el... | [
9,
10,
12,
13,
15
] |
<|reserved_special_token_0|>
class Scatter:
<|reserved_special_token_0|>
<|reserved_special_token_0|>
class Pie:
def __init__(self, values, labels, title):
self.style = 'fivethirtyeight'
self.values = values
self.labels = labels
self.explode = [(0) for i in range(len(val... | flexible | {
"blob_id": "58385a7713a8f88925ced714d25f1522bc7e39d8",
"index": 1181,
"step-1": "<mask token>\n\n\nclass Scatter:\n <mask token>\n <mask token>\n\n\nclass Pie:\n\n def __init__(self, values, labels, title):\n self.style = 'fivethirtyeight'\n self.values = values\n self.labels = lab... | [
5,
6,
7,
8,
9
] |
#!/usr/bin/python
#
#
# This is the Hydra slave module
| normal | {
"blob_id": "95cdf6a22655d500c2838899ec9dfbff637a5969",
"index": 2097,
"step-1": "#!/usr/bin/python\n#\n#\n\n# This is the Hydra slave module\n\n",
"step-2": null,
"step-3": null,
"step-4": null,
"step-5": null,
"step-ids": [
1
]
} | [
1
] |
import pandas as pd
import os
import openpyxl
from collections import defaultdict,deque
# 調節用パラメータ
filename = 'kaito7.xlsx' # 入力ファイル名
Output = 'output7.xlsx' # 出力ディレクトリ
wb = openpyxl.load_workbook(filename)
sheets = wb.sheetnames
days = []
names = []
dict = defaultdict(dict)
for sheet in sheets:
sh = wb[sheet]
... | normal | {
"blob_id": "37d5696c402737bfafe21b20b90a49e2753fdc4f",
"index": 7287,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor sheet in sheets:\n sh = wb[sheet]\n i = 3\n while True:\n tmp = sh.cell(row=1, column=i).value\n if tmp:\n days.append(tmp)\n else:\n ... | [
0,
2,
3,
4,
5
] |
#!/usr/bin/env python3
# Script qui permet de couper au début ou à la fin d'un fichier audio (.wav)
# un silence ou un passage musical à partir d'un fichier de transcription correspondant.
# Supporte uniquement l'extension audio .wav.
# Supporte les formats de transcriptions suivants :
# - .stm
# - .mlfmanu... | normal | {
"blob_id": "77531233219b76be51aed86536e4d92b8dc5ccad",
"index": 5494,
"step-1": "<mask token>\n\n\ndef searchBeginAndEndStm(transFileName):\n fileName = path.splitext(path.basename(transFileName))[0]\n if path.isfile(path.dirname(transFileName) + '/encoding.txt'):\n e = open(path.dirname(transFileN... | [
4,
5,
6,
7,
8
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
while count < total:
webbrowser.open('https://www.youtube.com/watch?v=GoSBNNgf_Vc')
time.sleep(5 * 60 * 60)
count += 1
<|reserved_special_token_1|>
<|reserved_special_token_0|>
total = 3
count = 0
while count < tota... | flexible | {
"blob_id": "e11a04cad967ae377449aab8b12bfde23e403335",
"index": 8391,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nwhile count < total:\n webbrowser.open('https://www.youtube.com/watch?v=GoSBNNgf_Vc')\n time.sleep(5 * 60 * 60)\n count += 1\n",
"step-3": "<mask token>\ntotal = 3\ncount = 0\n... | [
0,
1,
2,
3
] |
import scraperwiki
import xlrd
xlbin = scraperwiki.scrape("http://www.whatdotheyknow.com/request/82804/response/208592/attach/2/ACCIDENTS%20TRAMS%20Laurderdale.xls")
book = xlrd.open_workbook(file_contents=xlbin)
sheet = book.sheet_by_index(0)
for n, s in enumerate(book.sheets()):
print "Sheet %d is called %s and... | normal | {
"blob_id": "86ec33393bb19ee432c30834ea7983b11f4d1234",
"index": 5169,
"step-1": "import scraperwiki\nimport xlrd\nxlbin = scraperwiki.scrape(\"http://www.whatdotheyknow.com/request/82804/response/208592/attach/2/ACCIDENTS%20TRAMS%20Laurderdale.xls\")\nbook = xlrd.open_workbook(file_contents=xlbin)\n\nsheet = bo... | [
0
] |
import pygame
from clobber.constants import GREY, ROWS, WHITE, SQUARE_SIZE, COLS, YELLOW, BLACK
from clobber.piece import Piece
class Board:
def __init__(self):
self.board = []
self.selected_piece = None
self.create_board()
def draw_squares(self, win):
win.fill(GREY)
... | normal | {
"blob_id": "b80b997f802c7ed4f0a838030703a314f2383c9d",
"index": 5226,
"step-1": "<mask token>\n\n\nclass Board:\n <mask token>\n\n def draw_squares(self, win):\n win.fill(GREY)\n for row in range(ROWS):\n for col in range(row % 2, COLS, 2):\n pygame.draw.rect(win, W... | [
8,
9,
11,
13,
14
] |
my_list = [1, 2, 4, 0, 4, 0, 10, 20, 0, 1]
new_list = list(filter(lambda x: x != 0, my_list))
try:
new = list(map(lambda x: 2 / x, new_list))
except ZeroDivisionError:
pass
print(new)
# def devis(n, list):
# new_list = []
# for i, m_list in enumerate(list):
# try:
# new_list.a... | normal | {
"blob_id": "46f3d3681343d96889ddb073f17ff7f225486f35",
"index": 8005,
"step-1": "<mask token>\n",
"step-2": "<mask token>\ntry:\n new = list(map(lambda x: 2 / x, new_list))\nexcept ZeroDivisionError:\n pass\nprint(new)\n",
"step-3": "my_list = [1, 2, 4, 0, 4, 0, 10, 20, 0, 1]\nnew_list = list(filter(l... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
@app.route('/comments/new/')
@login_required(role='ANY')
def comments_form():
return render_template('comments/new.html', form=CommentForm())
<|reserved_special_token_1|>
from flask import render_template, request, redire... | flexible | {
"blob_id": "fe1d47b63e88935f8b2eb4bac883f3028d6f560b",
"index": 4515,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\n@app.route('/comments/new/')\n@login_required(role='ANY')\ndef comments_form():\n return render_template('comments/new.html', form=CommentForm())\n",
"step-3": "from flask import... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
def login_limit_user():
"""
登录函数
"""
try:
login_info = dict_queue.get(block=False)
except Exception as e:
print('[Error] {0}'.format(repr(e)))
return
username = login_info[0]
if username in success_username:
return
password =... | flexible | {
"blob_id": "94286fc36e06598b9faa65d9e5759f9518e436c6",
"index": 7979,
"step-1": "<mask token>\n\n\ndef login_limit_user():\n \"\"\"\n 登录函数\n \"\"\"\n try:\n login_info = dict_queue.get(block=False)\n except Exception as e:\n print('[Error] {0}'.format(repr(e)))\n return\n ... | [
4,
5,
6,
7,
8
] |
#!/usr/bin/env python
# Copyright (c) 2018, University of Stuttgart
# All rights reserved.
#
# Permission to use, copy, modify, and distribute this software for any purpose
# with or without fee is hereby granted, provided that the above copyright
# notice and this permission notice appear in all copies.
#
# THE ... | normal | {
"blob_id": "0d6177660a9b9c22bcf6eb11763e7fe1ee03b46a",
"index": 3454,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nworkspace.obstacles.append(box)\nworkspace.obstacles.append(segment)\nworkspace.obstacles.append(circle)\n<mask token>\nviewer.draw_ws_img(signed_distance_field)\nviewer.draw_ws_obstacles... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
for i in yeongil_MBTI:
print(MBTI_reverse_index[i], end='')
<|reserved_special_token_1|>
MBTI_reverse_index = {'E': 'I', 'I': 'E', 'S': 'N', 'N': 'S', 'T': 'F', 'F':
'T', 'J': 'P', 'P': 'J'}
yeongil_MBTI = input()
for i... | flexible | {
"blob_id": "c247b218267fc7c2bee93053dd90b2806572eaf2",
"index": 4234,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor i in yeongil_MBTI:\n print(MBTI_reverse_index[i], end='')\n",
"step-3": "MBTI_reverse_index = {'E': 'I', 'I': 'E', 'S': 'N', 'N': 'S', 'T': 'F', 'F':\n 'T', 'J': 'P', 'P': 'J'... | [
0,
1,
2,
3
] |
# dg_kernel plots
import os
import re
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.colors as mcolors
import csv
import sys
NE_SIZE = 128
TITLE_SIZE = 35
TEXT_SIZE = 30
MARKER_SIZE = 10
LINE_WIDTH = 5
colors = { idx:cname for idx, cname in enumerate(mcolors.cnames) }
eventname = 'L1_DCM'
cal... | normal | {
"blob_id": "872b13a93c9aba55c143ee9891543f059c070a36",
"index": 4631,
"step-1": "# dg_kernel plots\n\nimport os\nimport re\nimport numpy as np\nimport matplotlib.pyplot as plt\nimport matplotlib.colors as mcolors\nimport csv\nimport sys\n\nNE_SIZE = 128\nTITLE_SIZE = 35 \nTEXT_SIZE = 30 \nMARKER_SIZE = 10\nLINE... | [
0
] |
<|reserved_special_token_0|>
def key_func(entry):
return entry[0], entry[1]
def make_pair(entry):
key = entry[FIRST_KEY], entry[SECOND_KEY]
return key, entry
def unpair(entry):
return entry[0][0], entry[1][0], entry[1][1]
<|reserved_special_token_0|>
def sorted_group(lines):
return itertoo... | flexible | {
"blob_id": "05d6f15102be41937febeb63ed66a77d3b0a678e",
"index": 8517,
"step-1": "<mask token>\n\n\ndef key_func(entry):\n return entry[0], entry[1]\n\n\ndef make_pair(entry):\n key = entry[FIRST_KEY], entry[SECOND_KEY]\n return key, entry\n\n\ndef unpair(entry):\n return entry[0][0], entry[1][0], en... | [
5,
6,
8,
10,
11
] |
<|reserved_special_token_0|>
class ProductSpider(scrapy.Spider):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
def __init__(self):
options = webdriver.ChromeOptions()
options.add_argument('--start-maximized')
self.driver = webdriver.Chr... | flexible | {
"blob_id": "237a93ff73cb98fd9d4006f14d3cadbdc09259a4",
"index": 9885,
"step-1": "<mask token>\n\n\nclass ProductSpider(scrapy.Spider):\n <mask token>\n <mask token>\n <mask token>\n\n def __init__(self):\n options = webdriver.ChromeOptions()\n options.add_argument('--start-maximized')\... | [
2,
3,
5,
6,
7
] |
import pandas as pd
import numpy as np
import sys
#Best Mean Test
if len(sys.argv) <= 3:
print("Not enough args usage: anova.py <*.csv> <rv1,rv2> <target to beat>")
print("ex: best-mean.py testdata.csv nicdrop 95000")
print("<rv> is response variable")
exit()
target_to_beat = int(sys.argv[3]) #factors
rv = sys.ar... | normal | {
"blob_id": "b9e78629fe094d933fdc0ffa2f9d9d1880e78c12",
"index": 9078,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nif len(sys.argv) <= 3:\n print('Not enough args usage: anova.py <*.csv> <rv1,rv2> <target to beat>')\n print('ex: best-mean.py testdata.csv nicdrop 95000')\n print('<rv> is respo... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
engine = create_engine('sqlite:///app/databases/fays-web-dev.db',
connect_args={'check_same_thread': False})
Session = sessionmaker(bind=engine)
session = Session()
Base = declarative_base()
<|reserved_special_token_1|>
fro... | flexible | {
"blob_id": "3d2b8730953e9c2801eebc23b6fb56a1b5a55e3c",
"index": 6156,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nengine = create_engine('sqlite:///app/databases/fays-web-dev.db',\n connect_args={'check_same_thread': False})\nSession = sessionmaker(bind=engine)\nsession = Session()\nBase = declara... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
def outlier_thresholds(dataframe, variable, low_quantile=0.05, up_quantile=0.95
):
quantile_one = dataframe[variable].quantile(low_quantile)
quantile_three = dataframe[variable].quantile(up_quantile)
interquantile_range = quantile_three - quantile_one
up_limit = quanti... | flexible | {
"blob_id": "9e01ba8c489791ec35b86dffe12d0cedb5f09004",
"index": 3919,
"step-1": "<mask token>\n\n\ndef outlier_thresholds(dataframe, variable, low_quantile=0.05, up_quantile=0.95\n ):\n quantile_one = dataframe[variable].quantile(low_quantile)\n quantile_three = dataframe[variable].quantile(up_quantile... | [
2,
3,
4,
5,
6
] |
import cv2
import numpy as np
import os
from tqdm import tqdm
DIR = '/home/nghiatruong/Desktop'
INPUT_1 = os.path.join(DIR, 'GOPR1806.MP4')
INPUT_2 = os.path.join(DIR, '20190715_180940.mp4')
INPUT_3 = os.path.join(DIR, '20190715_181200.mp4')
RIGHT_SYNC_1 = 1965
LEFT_SYNC_1 = 1700
RIGHT_SYNC_2 = 5765
LEFT_SYNC_2 = 128... | normal | {
"blob_id": "f8f538773693b9d9530775094d9948626247a3bb",
"index": 6950,
"step-1": "<mask token>\n\n\ndef add_frame_id(video, output_dir):\n reader = cv2.VideoCapture(video)\n if not reader.isOpened():\n return -1\n os.makedirs(output_dir, exist_ok=True)\n frame_count = int(reader.get(cv2.CAP_PR... | [
2,
3,
4,
5,
6
] |
<|reserved_special_token_0|>
class JSONStoreTest(TestCase):
def setUp(self):
self.experiment = get_experiment_with_batch_and_single_trial()
def testJSONEncodeFailure(self):
self.assertRaises(JSONEncodeError, object_to_json, RuntimeError(
'foobar'))
def testJSONDecodeFailure(... | flexible | {
"blob_id": "52eec56f7f5da8356f61301994f846ef7769f73b",
"index": 6189,
"step-1": "<mask token>\n\n\nclass JSONStoreTest(TestCase):\n\n def setUp(self):\n self.experiment = get_experiment_with_batch_and_single_trial()\n\n def testJSONEncodeFailure(self):\n self.assertRaises(JSONEncodeError, ob... | [
7,
10,
12,
14,
18
] |
from bs4 import BeautifulSoup
import urllib2
def get_begin_data(url):
headers = {
'ser-Agent': '',
'Cookie': ''
}
request = urllib2.Request(url, headers=headers)
web_data = urllib2.urlopen(request)
soup = BeautifulSoup(web_data, 'html.parser')
results = soup.select('tab... | normal | {
"blob_id": "790110a8cba960eb19593e816b579080dfc46a4e",
"index": 4572,
"step-1": "<mask token>\n\n\ndef get_begin_data(url):\n headers = {'ser-Agent': '', 'Cookie': ''}\n request = urllib2.Request(url, headers=headers)\n web_data = urllib2.urlopen(request)\n soup = BeautifulSoup(web_data, 'html.parse... | [
2,
3,
4,
5,
6
] |
from django.db import models
class faculdades(models.Model):
codigo = models.IntegerField(primary_key = True)
nome = models.CharField(max_length=50)
cidade = models.CharField(max_length=30)
estado = models.CharField(max_length=20)
pais = models.CharField(max_length=20)
def __str__(self):
... | normal | {
"blob_id": "20e5220ce23aaaedbfafe599b352f5d3a220e82e",
"index": 6687,
"step-1": "<mask token>\n\n\nclass cursos(models.Model):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n def __str__(self):\n return self.nome\n\n\n class Meta:\n managed = False\n db_tab... | [
11,
13,
14,
16,
17
] |
import torch.nn as nn
import torch
from torch.distributions.categorical import Categorical
import torch.nn.functional as F
from torch.optim import Adam
import gym
import numpy as np
Device = torch.device("cuda:0")
class ActorCriticNet(nn.Module):
def __init__(self, observation_space, action_space,
... | normal | {
"blob_id": "e1ab4b034c949b8158c6ccc1e8e3f4a960a38c72",
"index": 4382,
"step-1": "<mask token>\n\n\nclass Agent(object):\n\n def __init__(self, model=None, lr=0.01, gamma=0.99):\n self.gamma = gamma\n self.AC = model\n self.optimizer = Adam(AC.parameters(), lr=lr)\n self.logp_as = ... | [
4,
7,
8,
10,
11
] |
<|reserved_special_token_0|>
class LampViewSet(viewsets.ModelViewSet):
serializer_class = LampSerializer
queryset = Lamp.objects.all()
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class LampSerializer(serializers.HyperlinkedModelSerializer):
class Meta:
... | flexible | {
"blob_id": "aff1d702e591efcfc0fc93150a3fbec532408137",
"index": 55,
"step-1": "<mask token>\n\n\nclass LampViewSet(viewsets.ModelViewSet):\n serializer_class = LampSerializer\n queryset = Lamp.objects.all()\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\nclass LampSerializer(serializers.HyperlinkedMo... | [
2,
3,
5,
6,
7
] |
<|reserved_special_token_0|>
class Datalayer(BaseDataLayer):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
def __getitem__(self, item):
if np.random.random() > 0.5 and len(self.bg_masks_path) > 0:
random_id_bg = np.random.randint(0, len(self.bg_imgs_path))
img_... | flexible | {
"blob_id": "9928eaa32468453f405d8bb650f3e0e85a7933bf",
"index": 5514,
"step-1": "<mask token>\n\n\nclass Datalayer(BaseDataLayer):\n <mask token>\n <mask token>\n\n def __getitem__(self, item):\n if np.random.random() > 0.5 and len(self.bg_masks_path) > 0:\n random_id_bg = np.random.r... | [
2,
3,
4,
5,
6
] |
from platform_class import *
from player_class import *
from functions import *
delay = 3000
startOfGame = False
# def keyPressed():
# startOfGame = True
# print(startOfGame)
# if (keyCode == 'B'):
# print("I am pressed")
# startOfGame = True
def mousePressed():
global platforms
... | normal | {
"blob_id": "850251338e8af841a5214b37610d1b6fba572aa5",
"index": 1138,
"step-1": "<mask token>\n\n\ndef setup():\n size(500, 800)\n rectMode(CENTER)\n global atStartUp\n atStartUp = True\n global startTimeMs\n startTimeMs = millis()\n global bg, go, sb\n bg = loadImage('assets\\\\backgrou... | [
3,
4,
5,
6,
7
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
for name, hexcode in zip(cs.colornames, cs.colors):
print('%s: %s' % (hexcode, name))
<|reserved_special_token_0|>
cs.example_plot(ax)
fig.savefig('latest.png', dpi=200, bbox_inches='tight')
<|reserved_special_token_1|>
<|r... | flexible | {
"blob_id": "7106a8ddbec60ce4b7d9e8e5ce8d7df02e5f7222",
"index": 6854,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor name, hexcode in zip(cs.colornames, cs.colors):\n print('%s: %s' % (hexcode, name))\n<mask token>\ncs.example_plot(ax)\nfig.savefig('latest.png', dpi=200, bbox_inches='tight')\n",
... | [
0,
1,
2,
3
] |
import argparse
import gc
import gcsfs
import nibabel as nib
import nilearn
import nobrainer
import numpy as np
import os
import os.path as op
import pandas as pd
import tensorflow as tf
def interpolate_images(baseline, image, alphas):
alphas_x = alphas[:, tf.newaxis, tf.newaxis, tf.newaxis, tf.newaxis]
basel... | normal | {
"blob_id": "848e4abcd0b4f118030fc62f1272a19bfce9db4e",
"index": 178,
"step-1": "<mask token>\n\n\ndef interpolate_images(baseline, image, alphas):\n alphas_x = alphas[:, tf.newaxis, tf.newaxis, tf.newaxis, tf.newaxis]\n baseline_x = tf.expand_dims(baseline, axis=0)\n input_x = tf.expand_dims(image, axi... | [
4,
5,
6,
7,
8
] |
<|reserved_special_token_0|>
def insert_category(conn):
"""将商品的种类插入数据库 """
categories_dict = {(66): '手机', (327): '腕表配饰', (65): '电脑办公', (67):
'相机单反', (217): '平板数码', (179): '运动户外', (255): '家电家居', (1000): '其他'}
with conn.cursor() as cursor:
for category_id, category_name in categories_dict.it... | flexible | {
"blob_id": "b69e3f5e57adc8e89b6ff22fb4a10d2539e13ca3",
"index": 7200,
"step-1": "<mask token>\n\n\ndef insert_category(conn):\n \"\"\"将商品的种类插入数据库 \"\"\"\n categories_dict = {(66): '手机', (327): '腕表配饰', (65): '电脑办公', (67):\n '相机单反', (217): '平板数码', (179): '运动户外', (255): '家电家居', (1000): '其他'}\n with... | [
2,
4,
5,
6,
7
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
def get_all_lefts(word, substring):
if len(substring) == 0:
yield (len(word), word),
elif substring[0] not in word:
yield -1,
else:
for i in range(len(word)):
if word[i] == substring[0]:
for sub_... | flexible | {
"blob_id": "8c0377b70b902e6e61351869a4378b4c2c50a3a7",
"index": 2478,
"step-1": "<mask token>\n",
"step-2": "def get_all_lefts(word, substring):\n if len(substring) == 0:\n yield (len(word), word),\n elif substring[0] not in word:\n yield -1,\n else:\n for i in range(len(word)):\... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
if os.path.exists(Result_File):
os.remove(Result_File)
<|reserved_special_token_0|>
with open(Result_File, 'w') as r:
r.write(
'OI_CE|Chng_in_OI_CE |Volume_CE|IV_CE|LTP_CE|NetChng_CE|Bid_Qty_CE|Bid_Price_CE|Ask_Pri... | flexible | {
"blob_id": "869bbc8da8cdb5de0bcaf5664b5482814daae53a",
"index": 6212,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nif os.path.exists(Result_File):\n os.remove(Result_File)\n<mask token>\nwith open(Result_File, 'w') as r:\n r.write(\n 'OI_CE|Chng_in_OI_CE |Volume_CE|IV_CE|LTP_CE|NetChng_CE... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def read_incremental_factors():
import csv
inc_file = open(incremental_factors_file, 'r')
reader = csv.reader(inc_file)
increment_map = dict()
funding_code_map = dict()
this_trn_code = ''
for row in r... | flexible | {
"blob_id": "18dae039f6455f944cbaa97bcb9c36ed29ac9a21",
"index": 867,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef read_incremental_factors():\n import csv\n inc_file = open(incremental_factors_file, 'r')\n reader = csv.reader(inc_file)\n increment_map = dict()\n funding_code_map... | [
0,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def http_request(url, data, token=None, method='post'):
header = {'X-Lemonban-Media-Type': 'lemonban.v2', 'Authorization': token}
if method == 'get':
result = requests.get(url, json=data, headers=header)
else... | flexible | {
"blob_id": "dd7c7fa6493a43988e1c8079797f6ff9b4d239dd",
"index": 4672,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef http_request(url, data, token=None, method='post'):\n header = {'X-Lemonban-Media-Type': 'lemonban.v2', 'Authorization': token}\n if method == 'get':\n result = reque... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
class BackGround:
def __init__(self, x, y):
self.y = y
self.x = x
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class BackGround:
def __init__(self, x, y):
self.y = y
... | flexible | {
"blob_id": "071e3cf6b4337e0079bbb2c7694fff2468142070",
"index": 6505,
"step-1": "<mask token>\n\n\nclass BackGround:\n\n def __init__(self, x, y):\n self.y = y\n self.x = x\n <mask token>\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass BackGround:\n\n def __init__(self, x, y):\... | [
2,
3,
4,
5
] |
class Robot:
def __init__(self, name):
self.name = name
def say_hi(self):
print("Hi, I'm from class Robot")
print("Hi, Ich bin " + self.name)
def say_hi_to_everybody(self):
print("Hi to all objects :-)")
class PhysicianRobot(Robot):
def say_hi_again(self):
pr... | normal | {
"blob_id": "6b24c438ca7bb4c37ae356c18c562831767f0569",
"index": 9961,
"step-1": "<mask token>\n\n\nclass PhysicianRobot(Robot):\n <mask token>\n\n\n<mask token>\n",
"step-2": "class Robot:\n\n def __init__(self, name):\n self.name = name\n\n def say_hi(self):\n print(\"Hi, I'm from clas... | [
1,
6,
7,
8,
9
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
[(x * x) for x in a]
<|reserved_special_token_1|>
a = range(10)
[(x * x) for x in a]
<|reserved_special_token_1|>
a = range(10)
[x*x for x in a]
| flexible | {
"blob_id": "018b9533074d2766dc5010ff9c5e70888d249b45",
"index": 1832,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n[(x * x) for x in a]\n",
"step-3": "a = range(10)\n[(x * x) for x in a]\n",
"step-4": "a = range(10)\n[x*x for x in a]\n",
"step-5": null,
"step-ids": [
0,
1,
2,
3... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
roslib.load_manifest('learning_tf')
<|reserved_special_token_0|>
if __name__ == '__main__':
rospy.init_node('move_client')
client = actionlib.SimpleActionClient('moveTo', turtlesim_)
client.wait_for_server()
goal =... | flexible | {
"blob_id": "791935f63f7a0ab2755ad33369d2afa8c10dffbb",
"index": 4708,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nroslib.load_manifest('learning_tf')\n<mask token>\nif __name__ == '__main__':\n rospy.init_node('move_client')\n client = actionlib.SimpleActionClient('moveTo', turtlesim_)\n cli... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def EuclidGCD(a, b):
if b == 0:
return a
else:
a = a % b
return EuclidGCD(b, a)
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def EuclidGCD(a, b):
... | flexible | {
"blob_id": "39d82267f966ca106ee384e540c31a3e5e433318",
"index": 2248,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef EuclidGCD(a, b):\n if b == 0:\n return a\n else:\n a = a % b\n return EuclidGCD(b, a)\n\n\n<mask token>\n",
"step-3": "<mask token>\n\n\ndef EuclidGCD... | [
0,
1,
2,
3,
4
] |
import math
import pendulum
from none import *
@on_command('yearprogress')
async def year_progress(session: CommandSession):
await session.send(get_year_progress())
def get_year_progress():
dt = pendulum.now()
percent = year_progress(dt)
year = dt.year
return f'你的 {year} 使用进度：{percent}%\n' \
... | normal | {
"blob_id": "f54d0eeffa140af9c16a1fedb8dcd7d06ced29f2",
"index": 2395,
"step-1": "<mask token>\n\n\ndef get_year_progress():\n dt = pendulum.now()\n percent = year_progress(dt)\n year = dt.year\n return f'你的 {year} 使用进度：{percent}%\\n\\n\\n{make_progress_string(percent)}'\n\n\ndef year_progress(dt):\n... | [
2,
3,
4,
5,
6
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class Products(models.Model):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
... | flexible | {
"blob_id": "5b0252dd862fe1e46c0c1df41935db16ae691dff",
"index": 7277,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass Products(models.Model):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass Prod... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
class A_Scroller(Scene):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class A_Scroller(Scene):
<|reserved_special_token_0|>
def construct(self):
text_1 = Text('3493', color='#DC3832')
... | flexible | {
"blob_id": "97c97f18d1b93dc54538a0df7badafd961fdcb9c",
"index": 3588,
"step-1": "<mask token>\n\n\nclass A_Scroller(Scene):\n <mask token>\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass A_Scroller(Scene):\n <mask token>\n\n def construct(self):\n text_1 = Text('3493', color='#DC3832'... | [
1,
2,
3,
4,
5
] |
import generic
name = __name__
def options(opt):
generic._options(opt, name)
def configure(cfg):
generic._configure(cfg, name, incs=('czmq.h',), libs=('czmq',), pcname=
name.lower(), uses='LIBZMQ', mandatory=True)
| normal | {
"blob_id": "9e511c769f6ccedc06845a382171fb3729913d05",
"index": 9767,
"step-1": "<mask token>\n\n\ndef options(opt):\n generic._options(opt, name)\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\ndef options(opt):\n generic._options(opt, name)\n\n\ndef configure(cfg):\n generic._configure(cfg, name... | [
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def DIXMAAN(type):
def DIXMAAN_(n):
name = 'DIXMAAN%c function (CUTE)' % type
alpha, beta, gamma, sigma, k1, k2, k3, k4 = table_DIXMAAN[type]
m = n // 3
sm = lambda i: alpha * xi(i) ** 2 * (i... | flexible | {
"blob_id": "7026f4549019c25cb736af556fe46fd360fba46f",
"index": 2238,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef DIXMAAN(type):\n\n def DIXMAAN_(n):\n name = 'DIXMAAN%c function (CUTE)' % type\n alpha, beta, gamma, sigma, k1, k2, k3, k4 = table_DIXMAAN[type]\n m = n /... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
class RatingBlock(InclusionTag):
name = 'rating'
template = 'ratings/rating.html'
options = Options(Argument('obj', required=True))
def get_context(self, context, obj):
if not hasattr(obj, '_meta') or not hasattr(obj, 'pk'):
raise ValueError(
... | flexible | {
"blob_id": "1a05817c4c16f2d9234e504b0c98f9c9ae2dc3f7",
"index": 1525,
"step-1": "<mask token>\n\n\nclass RatingBlock(InclusionTag):\n name = 'rating'\n template = 'ratings/rating.html'\n options = Options(Argument('obj', required=True))\n\n def get_context(self, context, obj):\n if not hasatt... | [
3,
4,
5,
6,
7
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def urlShortner():
if clip.paste():
text = clip.paste()
o = urlparse(text)
if not (o.scheme == 'http' or o.scheme == 'https'):
print('This is not url.')
return 1
newUrl = '... | flexible | {
"blob_id": "c3c82b9ba198b7818cc8e63710140bbb6e28a9ea",
"index": 6628,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef urlShortner():\n if clip.paste():\n text = clip.paste()\n o = urlparse(text)\n if not (o.scheme == 'http' or o.scheme == 'https'):\n print('This... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
api.add_resource(StoreList, '/stores')
api.add_resource(Store, '/store/<string:name>')
api.add_resource(ItemList, '/items')
api.add_resource(Item, '/item/<string:name>')
api.add_resource(UserRegister, '/register')
if __name__ == '... | flexible | {
"blob_id": "bf8f7b51b685f0e9131cb4d8a0bfc16ee5ad1263",
"index": 3281,
"step-1": "<mask token>\n",
"step-2": "<mask token>\napi.add_resource(StoreList, '/stores')\napi.add_resource(Store, '/store/<string:name>')\napi.add_resource(ItemList, '/items')\napi.add_resource(Item, '/item/<string:name>')\napi.add_resou... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class Migration(migrations.Migration):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class Migration(migrations.... | flexible | {
"blob_id": "cdd929ee041c485d2a6c1149ea1b1ced92d7b7ab",
"index": 5972,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass Migration(migrations.Migration):\n <mask token>\n <mask token>\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass Migration(migrations.Migration):\n initial = T... | [
0,
1,
2,
3,
4
] |
# coding: utf-8
from openerp import SUPERUSER_ID
from openerp.osv import osv, fields
from openerp.addons.ud.ud import _TIPOS_BOLSA
TIPOS_BOLSA = dict(_TIPOS_BOLSA)
def get_banco(cls, cr, browse_record, usuario_id, context=None):
dados_bancarios_model = cls.pool.get("ud.dados.bancarios")
args = [("banco_id", ... | normal | {
"blob_id": "fd877f5952c1fc0b2115d0950a066501ee7545f8",
"index": 4150,
"step-1": "<mask token>\n\n\nclass AdicionarBolsaWizard(osv.TransientModel):\n <mask token>\n <mask token>\n <mask token>\n\n def _bolsas(self, cr, uid, ids, campos, args, context=None):\n oferta_model = self.pool.get('ud.m... | [
18,
20,
22,
24,
26
] |
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
] |
<|reserved_special_token_0|>
def run(path, output):
for xml_file in glob.glob(path + '/*.xml'):
tree = ET.parse(xml_file)
root = tree.getroot()
base_file, ext = os.path.splitext(root.find('filename').text)
txtFileName = os.path.join(output, base_file + '.txt')
l = []
... | flexible | {
"blob_id": "26d14bc74d893f6f14ee7405280f4af41854c544",
"index": 141,
"step-1": "<mask token>\n\n\ndef run(path, output):\n for xml_file in glob.glob(path + '/*.xml'):\n tree = ET.parse(xml_file)\n root = tree.getroot()\n base_file, ext = os.path.splitext(root.find('filename').text)\n ... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class InventoryAsyncPlugin(SqPlugin):
<|reserved_special_token_0|>
async def run(self):
"""Background task to launch in order to execute the plugin"""
try:
await self._execute()
final... | flexible | {
"blob_id": "8b49aa63cc6e4490b7b22cd304dbba132962c870",
"index": 9049,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass InventoryAsyncPlugin(SqPlugin):\n <mask token>\n\n async def run(self):\n \"\"\"Background task to launch in order to execute the plugin\"\"\"\n try:\n ... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
def test_number():
pass
| flexible | {
"blob_id": "687ab41e9ce94c8d14154a941504845a8fa9f2d9",
"index": 8660,
"step-1": "<mask token>\n",
"step-2": "def test_number():\n pass\n",
"step-3": null,
"step-4": null,
"step-5": null,
"step-ids": [
0,
1
]
} | [
0,
1
] |
import numpy as np
import matplotlib.pyplot as plt
##########################################
# line plot
#########################################
# x축 생략시 x축은 0, 1, 2, 3이 됨
"""
plt.plot([1, 4, 9, 16])
plt.show()
"""
# x축과 y축 지정
"""
plt.plot([10, 20, 30, 40], [1, 4, 9, 16])
plt.show()
"""
# 스타일지정
# 색깔, 마커, 선 순서로 ... | normal | {
"blob_id": "89ffb2da456d2edf15fde8adc01615a277c6caa1",
"index": 8522,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nwith plt.xkcd():\n plt.title('XKCD style plot!!!')\n plt.plot(X, C, label='cosine')\n t = 2 * np.pi / 3\n plt.scatter(t, np.cos(t), 50, color='blue')\n plt.annotate('0.5 He... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
def est_lin_transf(im_ref, im_mov, mov_mask=None, show_parameters=False):
initial_transform = sitk.CenteredTransformInitializer(im_ref, im_mov,
sitk.ScaleSkewVersor3DTransform(), sitk.
CenteredTransformInitializerFilter.MOMENTS)
lin_transformation = sitk.ImageRegis... | flexible | {
"blob_id": "2b7d9ded82fa980eeae06beb2d84d89612d53df1",
"index": 821,
"step-1": "<mask token>\n\n\ndef est_lin_transf(im_ref, im_mov, mov_mask=None, show_parameters=False):\n initial_transform = sitk.CenteredTransformInitializer(im_ref, im_mov,\n sitk.ScaleSkewVersor3DTransform(), sitk.\n Center... | [
5,
6,
7,
8,
9
] |
from pulp import *
from collections import namedtuple
import networkx as nx
import itertools
from mcfpox.controller.lib import Flow, Hop
def get_host_from_ip(G, ip):
return next((i for i in G.nodes() if G.node[i].get('ip') == str(ip)), None)
# https://docs.python.org/2/library/itertools.html#recipes
def pairwis... | normal | {
"blob_id": "65bcb4a2fbc05ee19c8a94811d369562ec5e72ff",
"index": 9261,
"step-1": "from pulp import *\nfrom collections import namedtuple\nimport networkx as nx\nimport itertools\nfrom mcfpox.controller.lib import Flow, Hop\n\n\ndef get_host_from_ip(G, ip):\n return next((i for i in G.nodes() if G.node[i].get(... | [
0
] |
from django.apps import AppConfig
class PersianConfig(AppConfig):
name = 'persian'
| normal | {
"blob_id": "6b0d1de4c77841f20670331db3332cf87be7ad84",
"index": 3931,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass PersianConfig(AppConfig):\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass PersianConfig(AppConfig):\n name = 'persian'\n",
"step-4": "from django.apps import App... | [
0,
1,
2,
3
] |
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