code stringlengths 13 6.09M | order_type stringclasses 2
values | original_example dict | step_ids listlengths 1 5 |
|---|---|---|---|
plik=open("nowy_zad_84.txt", "w")
print(" Podaj 5 imion")
for i in range(1,6):
imie=input(f" Podaj imie nr {i} ")
# plik.write(imie)
# plik.write("\n")
plik.write(f" {imie} \n")
plik.close()
plik=open("nowy_zad_84.txt", "a")
for i in range(1,101):
plik.write(str(i))
plik.w... | normal | {
"blob_id": "0ac99e2b33f676a99674c9a8e5d9d47c5bce084b",
"index": 5820,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(' Podaj 5 imion')\nfor i in range(1, 6):\n imie = input(f' Podaj imie nr {i} ')\n plik.write(f' {imie} \\n')\nplik.close()\n<mask token>\nfor i in range(1, 101):\n plik.wri... | [
0,
1,
2,
3
] |
import numpy as np
import math
import datetime
def multi_strassen(A,B, check_ig = True, check_quad = True, check_pot = True, check_time = True):
def Strassen(matriz_1,matriz_2): # Função do algoritmo de Strassen para multiplicação de matrizes do tipo 2x2
if (matriz_1.shape[0] != 2) or (matriz_1.shape[... | normal | {
"blob_id": "6707723b3d0b42271e49c08c639afc9103066dc7",
"index": 4679,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef multi_strassen(A, B, check_ig=True, check_quad=True, check_pot=True,\n check_time=True):\n\n def Strassen(matriz_1, matriz_2):\n if matriz_1.shape[0] != 2 or matriz_1... | [
0,
1,
2,
3
] |
from django import forms
from django.forms import widgets
# from product.models import PRODUCT_OTHER_CHOICE, PRODUCT_CATEGORY_CHOICES
PRODUCT_OTHER_CHOICE = 'other'
PRODUCT_CATEGORY_CHOICES = (
(PRODUCT_OTHER_CHOICE, 'Разное'),
('food', 'Еда'),
('drink', 'Вода'),
('cloth', 'Одежда'),
('electronics'... | normal | {
"blob_id": "e8a024796b6426e572571e46030678e90c537229",
"index": 7549,
"step-1": "<mask token>\n\n\nclass ProductForm(forms.Form):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n\nclass FindForm(forms.Form):\n name = forms.CharField(max_length=100, label='Наименов... | [
3,
4,
5,
6,
7
] |
<|reserved_special_token_0|>
def test_burst_evolved():
"""Test burst() in EvolvedCluster"""
cluster = p22.EvolvedCluster('..#\n#..\n...')
assert cluster.infected[p22.Position(0, 2)] == p22.State.Infected
assert cluster.infected[p22.Position(1, 0)] == p22.State.Infected
assert cluster.infected[p22.... | flexible | {
"blob_id": "f0a3778e74d113a5de778fa17ec321c6680c56c2",
"index": 1143,
"step-1": "<mask token>\n\n\ndef test_burst_evolved():\n \"\"\"Test burst() in EvolvedCluster\"\"\"\n cluster = p22.EvolvedCluster('..#\\n#..\\n...')\n assert cluster.infected[p22.Position(0, 2)] == p22.State.Infected\n assert clu... | [
4,
5,
6,
7,
8
] |
<|reserved_special_token_0|>
class Publisher:
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
class TopicPublisher(Publisher):
def __init__(self, exchange_name, channel, routing_key=None):
... | flexible | {
"blob_id": "8205541dcdd4627a535b14c6775f04b80e7c0d15",
"index": 3354,
"step-1": "<mask token>\n\n\nclass Publisher:\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n\nclass TopicPublisher(Publisher):\n\n def __init__(self, exchange_name, channel, routing_key=None):... | [
7,
9,
12,
13,
15
] |
def pin():
print('wqeqwwqe')
<|reserved_special_token_0|>
<|reserved_special_token_1|>
def pin():
print('wqeqwwqe')
<|reserved_special_token_0|>
window.title('爱你吆')
window.geometry('400x400+800+200')
window.protocol('WM_DELETE_WINDOW')
<|reserved_special_token_0|>
label.grid(row=10, column=10)
<|reserved... | flexible | {
"blob_id": "55c9fe8caf1983f22d5a752574f590fa129e8017",
"index": 1443,
"step-1": "def pin():\n print('wqeqwwqe')\n\n\n<mask token>\n",
"step-2": "def pin():\n print('wqeqwwqe')\n\n\n<mask token>\nwindow.title('爱你吆')\nwindow.geometry('400x400+800+200')\nwindow.protocol('WM_DELETE_WINDOW')\n<mask token>\nl... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
bot = telebot.TeleBot(os.environ.get('TELEGRAM_ACCESS_TOCKEN', 'TOKEN'))
<|reserved_special_token_1|>
import os
import telebot
bot = telebot.TeleBot(os.environ.get('TELEGRAM_ACCESS_TOCKEN', 'TOKEN'))
| flexible | {
"blob_id": "ce7b7980d1e93f23e7e3ef048ddadc0c779ef9ce",
"index": 7981,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nbot = telebot.TeleBot(os.environ.get('TELEGRAM_ACCESS_TOCKEN', 'TOKEN'))\n",
"step-3": "import os\nimport telebot\nbot = telebot.TeleBot(os.environ.get('TELEGRAM_ACCESS_TOCKEN', 'TOKEN'... | [
0,
1,
2
] |
import pytest
import numpy as np
from GSPA_DMC import SymmetrizeWfn as symm
def test_swap():
cds = np.load('h3o_data/ffinal_h3o.npy')
dws = np.load('h3o_data/ffinal_h3o_dw.npy')
cds = cds[:10]
a = symm.swap_two_atoms(cds, dws, atm_1=1, atm_2=2)
b = symm.swap_group(cds, dws, atm_list_1=[0, 1], atm_... | normal | {
"blob_id": "4ecd756b94b0cbab47a8072e9bccf26e2dd716d0",
"index": 7833,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef test_swap():\n cds = np.load('h3o_data/ffinal_h3o.npy')\n dws = np.load('h3o_data/ffinal_h3o_dw.npy')\n cds = cds[:10]\n a = symm.swap_two_atoms(cds, dws, atm_1=1, atm... | [
0,
1,
2
] |
#coding=utf-8
from __future__ import division
import os
def judgeReported(evi, content):
for item in evi['reported']:
flag = content.find(item)
if flag > 0:
return 'Y'
for item in evi['properly']['neg']:
flag = content.find(item)
if flag > 0:
return... | normal | {
"blob_id": "064f535b7ea0f1e4a09bdf830021f17d175beda7",
"index": 4422,
"step-1": "#coding=utf-8\n\nfrom __future__ import division\nimport os\n \ndef judgeReported(evi, content):\n for item in evi['reported']:\n flag = content.find(item)\n if flag > 0:\n return 'Y'\n for item i... | [
0
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class __module_protocol__(typing.Protocol):
cmdline: org.cogroo.gc.cmdline.__module_protocol__
<|reserved_special_token_1|>
import org.cogroo.gc.cmdline
import typing
class __module_protocol__(typing.Protocol):
cmdl... | flexible | {
"blob_id": "f615e7bbfa9179d0bfb321242cd8df4ae7b48993",
"index": 3181,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass __module_protocol__(typing.Protocol):\n cmdline: org.cogroo.gc.cmdline.__module_protocol__\n",
"step-3": "import org.cogroo.gc.cmdline\nimport typing\n\n\nclass __module_pr... | [
0,
1,
2,
3
] |
import numpy as np
import matplotlib.pyplot as plt
def cos_Taylor2(x, n):
s = 0
a = 1
for i in range(0, n+1):
s = s+a
a = -a*x**2 / ((2*i+1)*(2*i+2))
return s, abs(a)
vcos = np.vectorize(cos_Taylor2)
def cos_two_terms(x):
s = 0
a = 1
s = s+a
a = -a*x**2 / ((2*0+1)*(2*... | normal | {
"blob_id": "fb0dcb641dfb379751264dc0b18007f5d058d379",
"index": 3520,
"step-1": "<mask token>\n\n\ndef cos_two_terms(x):\n s = 0\n a = 1\n s = s + a\n a = -a * x ** 2 / ((2 * 0 + 1) * (2 * 0 + 2))\n s = s + a\n a = -a * x ** 2 / ((2 * 1 + 1) * (2 * 1 + 2))\n s = s + a\n a = -a * x ** 2 /... | [
2,
4,
5,
6,
7
] |
str="mama"
stringlength=len(str)
slicedString=str[stringlength::-1]
print (slicedString) | normal | {
"blob_id": "5c80561a3344c0240e59500e5dadc1f1ef7f380e",
"index": 7687,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(slicedString)\n",
"step-3": "str = 'mama'\nstringlength = len(str)\nslicedString = str[stringlength::-1]\nprint(slicedString)\n",
"step-4": "str=\"mama\"\r\nstringlength=len(str... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
print('Enter string:')
<|reserved_special_token_0|>
for i in a:
if i in vowels:
v += 1
elif i in consonants:
c += 1
elif i in digits:
d += 1
elif i in whitespace:
ws += 1
print(v, c, d, ws)
<|reserved_special_... | flexible | {
"blob_id": "088c77e090d444e7057a91cac606995fb523c8ef",
"index": 3079,
"step-1": "<mask token>\n",
"step-2": "print('Enter string:')\n<mask token>\nfor i in a:\n if i in vowels:\n v += 1\n elif i in consonants:\n c += 1\n elif i in digits:\n d += 1\n elif i in whitespace:\n ... | [
0,
1,
2,
3
] |
"""
Program file: DataParser.py.
This program parses and returns a dataset for a plotting program
"""
from sys import exit
from csv import Sniffer, DictReader
class DataParser:
"""
Summary: parses a data file, and returns list of the filtered data.
Instances:
1. accepted_records
2. ignored_reco... | normal | {
"blob_id": "af609f1558276bab96477d3a2c61d813b9dd3d82",
"index": 9660,
"step-1": "<mask token>\n\n\nclass DataParser:\n <mask token>\n\n def __init__(self, csvfile, data_centers):\n \"\"\"DataParser constructor.\"\"\"\n self.accepted_records = []\n self.ignored_records = []\n wi... | [
5,
6,
7,
8,
9
] |
import numpy as np
from flask import Flask,request,render_template
import pickle
from werkzeug.serving import run_simple
app=Flask(__name__,template_folder='template')
model=pickle.load(open("model.pkl",'rb'))
@app.route('/')
def home():
return render_template('index.html')
@app.route('/predict',me... | normal | {
"blob_id": "02b760b16cdcd42f8d8d7222b439da87fb8076a3",
"index": 4959,
"step-1": "<mask token>\n\n\n@app.route('/predict', methods=['POST'])\ndef predict():\n arr = [int(x) for x in request.form.values()]\n arr2 = [np.array(arr)]\n output = model.predict(arr2)\n return render_template('index.html', p... | [
1,
3,
4,
5,
6
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def generate_parameters(seed):
np.random.seed(seed)
out = {}
out['nfeatures'] = np.random.randint(3, 25)
out['lr'] = float(loguniform.rvs(0.001, 0.01, size=1))
out['gamma'] = np.random.uniform(0.75, 0.05)
... | flexible | {
"blob_id": "7571e86be1077ae0f7ae542824cfcaaa2949dc83",
"index": 8731,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef generate_parameters(seed):\n np.random.seed(seed)\n out = {}\n out['nfeatures'] = np.random.randint(3, 25)\n out['lr'] = float(loguniform.rvs(0.001, 0.01, size=1))\n ... | [
0,
1,
2,
3,
4
] |
class Solution:
def toGoatLatin(self, S: str) -> str:
def exchange(str2):
if str2[0] in "aeiou":
str2 = str2+"ma"
else:
str2 = str2[1:]+str2[0]+"ma"
list2 = S.split(" ")
for i in list2:
res.append(exchange(i))
... | normal | {
"blob_id": "398c28265e61831ba65b4ae2a785e57c0fa5b6d2",
"index": 8311,
"step-1": "\n\n\nclass Solution:\n def toGoatLatin(self, S: str) -> str:\n \n def exchange(str2):\n if str2[0] in \"aeiou\":\n str2 = str2+\"ma\"\n else:\n str2 = str2[1:]+s... | [
0
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
app.config_from_object('task.config')
if __name__ == '__main__':
app.start()
<|reserved_special_token_1|>
<|reserved_special_token_0|>
app = Celery('task', include=['task.tasks'])
app.config_from_object('task.config')
if __... | flexible | {
"blob_id": "68d9f77f91a13c73373c323ef0edbe18af9990a3",
"index": 4321,
"step-1": "<mask token>\n",
"step-2": "<mask token>\napp.config_from_object('task.config')\nif __name__ == '__main__':\n app.start()\n",
"step-3": "<mask token>\napp = Celery('task', include=['task.tasks'])\napp.config_from_object('tas... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
def call_func(some_func, argument):
return some_func(argument)
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def call_func(some_func, argument):
return some_func(argument)
def main(argument):
"""docstring"""
return call_fun... | flexible | {
"blob_id": "2a3c3112122dee5574a1569155287ea3e5f8c7b2",
"index": 6120,
"step-1": "<mask token>\n\n\ndef call_func(some_func, argument):\n return some_func(argument)\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\ndef call_func(some_func, argument):\n return some_func(argument)\n\n\ndef main(argument):... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
def tanh(x):
return np.tanh(x)
def tanh_deriv(x):
return 1.0 - np.tanh(x) * np.tanh(x)
<|reserved_special_token_0|>
class NeuralNetwork:
def __init__(self, layers, activation='tanh'):
"""
:param layers: A list containing the number of units in each layer... | flexible | {
"blob_id": "a6a5fddb8e1eda4cc8e9c79ad83019f55d149a80",
"index": 2988,
"step-1": "<mask token>\n\n\ndef tanh(x):\n return np.tanh(x)\n\n\ndef tanh_deriv(x):\n return 1.0 - np.tanh(x) * np.tanh(x)\n\n\n<mask token>\n\n\nclass NeuralNetwork:\n\n def __init__(self, layers, activation='tanh'):\n \"\"... | [
6,
8,
9,
11,
12
] |
<|reserved_special_token_0|>
class Chunk_CleanSentences(Resource):
<|reserved_special_token_0|>
parser.add_argument('text', type=str, required=True, help=
'გთხოვთ შეიყვანოთ სწორი წინადადება')
def get(self):
data = Chunk_CleanSentences.parser.parse_args()
text = data['text']
... | flexible | {
"blob_id": "6d042a2035eab579193452e4dc44c425125d9515",
"index": 9402,
"step-1": "<mask token>\n\n\nclass Chunk_CleanSentences(Resource):\n <mask token>\n parser.add_argument('text', type=str, required=True, help=\n 'გთხოვთ შეიყვანოთ სწორი წინადადება')\n\n def get(self):\n data = Chunk_Cle... | [
2,
3,
4,
5,
6
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
BASEDIR = os.path.abspath(os.path.dirname(os.path.dirname(__file__)))
DATA_DIR = os.path.join(BASEDIR, 'data')
DATA_FILE = os.path.join(DATA_DIR, 'data.yaml')
<|reserved_special_token_1|>
import os
BASEDIR = os.path.abspath(os.... | flexible | {
"blob_id": "7a793c2081032745ae58f92a4572954333742dfd",
"index": 3943,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nBASEDIR = os.path.abspath(os.path.dirname(os.path.dirname(__file__)))\nDATA_DIR = os.path.join(BASEDIR, 'data')\nDATA_FILE = os.path.join(DATA_DIR, 'data.yaml')\n",
"step-3": "import os... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
class Server(Socket):
def __init__(self):
super(Server, self).__init__()
print('server listening')
self.users = []
def set_up(self):
self.bind(('192.168.0.109', 1337))
self.listen(0)
self.accept_sockets()
def send_data(self, d... | flexible | {
"blob_id": "2027904401e5be7b1c95eebec3a1e6a88c25660c",
"index": 9338,
"step-1": "<mask token>\n\n\nclass Server(Socket):\n\n def __init__(self):\n super(Server, self).__init__()\n print('server listening')\n self.users = []\n\n def set_up(self):\n self.bind(('192.168.0.109', 13... | [
5,
6,
7,
8,
9
] |
<|reserved_special_token_0|>
def get_subset(A, k, n):
a_list = [i for i in A]
if len(a_list) == k:
result.append(a_list)
return
s_num = max(a_list) + 1 if a_list else 1
for i in range(s_num, n + 1):
a_list.append(i)
get_subset(a_list, k, n)
a_list.remove(i)
<|... | flexible | {
"blob_id": "d48353caa07d3bfa003ea9354b411fe0c79591db",
"index": 2725,
"step-1": "<mask token>\n\n\ndef get_subset(A, k, n):\n a_list = [i for i in A]\n if len(a_list) == k:\n result.append(a_list)\n return\n s_num = max(a_list) + 1 if a_list else 1\n for i in range(s_num, n + 1):\n ... | [
2,
3,
4,
5,
6
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
ciscoLwappClRoamMIB.setRevisions(('2010-01-29 00:00', '2006-04-11 00:00'))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
if mibBuilder.loadTexts:
ciscoLwappClRoamMIB.setRevisionsDescriptions((
'... | flexible | {
"blob_id": "76fbe055b53af9321cc0d57a210cfffe9188f800",
"index": 6531,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nciscoLwappClRoamMIB.setRevisions(('2010-01-29 00:00', '2006-04-11 00:00'))\nif getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):\n if mibBuilder.loadTexts:\n ciscoLwappClRo... | [
0,
1,
2,
3
] |
#a list of functions/Classes to be inported when a user imports * from swarmpose
__all__ = ['Swarmpose'] | normal | {
"blob_id": "e375501e6b815530e61af9181d4cade83d4588ca",
"index": 8762,
"step-1": "<mask token>\n",
"step-2": "__all__ = ['Swarmpose']\n",
"step-3": "#a list of functions/Classes to be inported when a user imports * from swarmpose\n__all__ = ['Swarmpose']",
"step-4": null,
"step-5": null,
"step-ids": [
... | [
0,
1,
2
] |
# Generated by Django 3.1.2 on 2020-10-21 21:00
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('monitoring', '0002_auto_20201021_0027'),
]
operations = [
migrations.AlterField(
model_name='endpoint',
name='freque... | normal | {
"blob_id": "20f56ff484321a7d623cead4315e5a6b3b0653a7",
"index": 2720,
"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 = [('monitoring'... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
@app.route('/')
def hello_world():
return '你好'
@app.route('/test1/<name>')
def test1(name):
return '你好，%s' % name
@app.route('/test2/<int:id>')
def test2(id):
return '你好，%d' % id
<|reserved_special_token_0|>
@app.route('/test/register')
def register():
return rende... | flexible | {
"blob_id": "d68bd9c90a106a9eac767607ad77bdd84d0f18d2",
"index": 1006,
"step-1": "<mask token>\n\n\n@app.route('/')\ndef hello_world():\n return '你好'\n\n\n@app.route('/test1/<name>')\ndef test1(name):\n return '你好，%s' % name\n\n\n@app.route('/test2/<int:id>')\ndef test2(id):\n return '你好，%d' % id\n\n\n<... | [
5,
6,
7,
9,
10
] |
import abc
import hashlib
import hmac
from typing import Any, Dict
from urllib.parse import urlencode
class IceCubedClientABC(abc.ABC):
@abc.abstractproperty
def _has_auth_details(self) -> bool:
pass
@abc.abstractmethod
def sign(self, params: Dict[str, Any]) -> str:
pass
class IceCu... | normal | {
"blob_id": "8bd918896fb72c89a622ba4e18666bb90755cafd",
"index": 4545,
"step-1": "<mask token>\n\n\nclass IceCubedClientBase(IceCubedClientABC):\n BASE_URI = 'https://ice3x.com/api/v1/'\n\n def __init__(self, api_key: str=None, secret: str=None) ->None:\n \"\"\"Instantiate the client\n\n Args... | [
5,
6,
7,
9,
10
] |
# To add a new cell, type '# %%'
# To add a new markdown cell, type '# %% [markdown]'
# %% [markdown]
# ### Bài tập 1.
# - <ins>Yêu cầu</ins>: Ý tưởng cơ bản của thuật toán ``Support Vector Machine`` (``SVM``) là gì? Ý tưởng của thuật toán biên mềm (``soft margin``) ``SVM``. Nêu ý nghĩa của siêu tham số ``C`` trong bà... | normal | {
"blob_id": "1b1b646a75fe2ff8d54e66d025b60bde0c9ed2d6",
"index": 9361,
"step-1": "<mask token>\n",
"step-2": "<mask token>\ndf.pivot_table(index=['classes'], aggfunc='size')\n<mask token>\nfor n in np.arange(0.5, C_parameter, 0.5):\n clf = svm.SVC(C=n).fit(X_train, y_train)\n yhat = clf.predict(X_test)\n... | [
0,
1,
2,
3,
4
] |
def maxProduct(self, A):
size= len(A)
if size==1:
return A[0]
Max=[A[0]]
Min=[A[0]]
for i in range(1,size):
Max.append(max(max(Max[i-1]*A[i],Min[i-1]*A[i]),A[i]))
Min.append(min(min(Max[i-1]*A[i],Min[i-1]*A[i]),A[i]))
tmax=Max[0]
... | normal | {
"blob_id": "1fafbc1e415b5089afcd2976d4f0dc2aa1c5a144",
"index": 1077,
"step-1": " def maxProduct(self, A):\n size= len(A)\n if size==1:\n return A[0]\n Max=[A[0]]\n Min=[A[0]]\n for i in range(1,size):\n Max.append(max(max(Max[i-1]*A[i],Min[i-1]*A[i]),... | [
0
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class AlertMailModel(models.Model):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_toke... | flexible | {
"blob_id": "2872c86294037b4585158e7ff6db414ba7ab90cc",
"index": 1814,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass AlertMailModel(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\nclas... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def test(data):
actions.navigate(data.env.url + 'tabs/')
actions.send_keys('#title', 'lorem ipsum')
actions.click('#goButtonCustom')
actions.assert_amount_of_windows(2)
actions.close_window_by_partial_title('... | flexible | {
"blob_id": "8fe45332ce09195beabb24c8cbb56868c564ded4",
"index": 2132,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef test(data):\n actions.navigate(data.env.url + 'tabs/')\n actions.send_keys('#title', 'lorem ipsum')\n actions.click('#goButtonCustom')\n actions.assert_amount_of_windo... | [
0,
1,
2,
3
] |
def koodrinate(kraj, kraji):
for ime, x, y in kraji:
if ime == kraj:
return x, y
kraji = {
'Brežice': (68.66, 7.04),
'Lenart': (85.20, 78.75),
'Rateče': (-65.04, 70.04),
'Ljutomer': (111.26, 71.82),
'Rogaška Slatina': (71.00, 42.00),
'Ribnica': (7.10, -10.50),
'Duto... | normal | {
"blob_id": "2cfc1bea6dd1571eff67c3f49b2a1899560c7ba7",
"index": 3469,
"step-1": "def koodrinate(kraj, kraji):\n for ime, x, y in kraji:\n if ime == kraj:\n return x, y\n\n\n<mask token>\n",
"step-2": "def koodrinate(kraj, kraji):\n for ime, x, y in kraji:\n if ime == kraj:\n ... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
def cnct_cb():
print('Connected: ')
<|reserved_special_token_0|>
def _funCb(ACT):
result = instance.read()
if result.is_valid():
strTemp = '%.2f' % result.temperature
strHumi = '%.2f' % result.humidity
oled.yell2('Temp=' + strTemp, 'Humi=' + strHumi... | flexible | {
"blob_id": "e95ebb2aa6526e3bf3789da17d144e71cdb49aca",
"index": 2712,
"step-1": "<mask token>\n\n\ndef cnct_cb():\n print('Connected: ')\n\n\n<mask token>\n\n\ndef _funCb(ACT):\n result = instance.read()\n if result.is_valid():\n strTemp = '%.2f' % result.temperature\n strHumi = '%.2f' % ... | [
2,
3,
4,
5,
6
] |
import json
import os
from lib.create import create_server, create_user
os.chdir(r'/home/niko/data/Marvin')
def edit_user_stats(server_id: str, user_id: str, stat: str, datas):
create_user(server_id, user_id)
if os.path.isfile("Server/{}/user.json".format(server_id)):
with open("Server/{}... | normal | {
"blob_id": "e6d506dd45e72ee7f0162a884981ee1156153d3d",
"index": 8661,
"step-1": "<mask token>\n\n\ndef edit_user_stats(server_id: str, user_id: str, stat: str, datas):\n create_user(server_id, user_id)\n if os.path.isfile('Server/{}/user.json'.format(server_id)):\n with open('Server/{}/user.json'.f... | [
5,
6,
7,
8,
9
] |
class GameOfLife:
@staticmethod
def simulate(board):
for row in range(len(board)):
for col in range(len(board[0])):
ones = GameOfLife.countOnes(board, row, col)
if board[row][col] and (ones == 2 or ones == 3):
board[row][col] |= 2
... | normal | {
"blob_id": "862c5794a4da794678de419f053ae15b11bca6e7",
"index": 7453,
"step-1": "class GameOfLife:\n <mask token>\n <mask token>\n <mask token>\n",
"step-2": "class GameOfLife:\n\n @staticmethod\n def simulate(board):\n for row in range(len(board)):\n for col in range(len(boar... | [
1,
2,
3,
4
] |
import json
import os, django
os.environ.setdefault("DJANGO_SETTINGS_MODULE", "dangjianyun.settings")# project_name 项目名称
django.setup()
from dangjiansite.djfuncs import *
import os
import datetime
import requests
import time
import urllib3
import base64
import csv
import random
from bs4 import Beautifu... | normal | {
"blob_id": "55a26eb2625acb201677f5ff50fde809402c9b93",
"index": 2630,
"step-1": "<mask token>\n\n\nclass Runner:\n\n def __init__(self, appid='TJZHDJ01', username='', password=''):\n urllib3.disable_warnings()\n self.currentTime = datetime.datetime.now().strftime('%H:%M:%S')\n self.usern... | [
17,
19,
20,
21,
24
] |
"""GI on fast."""
import logging
from mpf.core.utility_functions import Util
from mpf.platforms.interfaces.gi_platform_interface import GIPlatformInterface
class FASTGIString(GIPlatformInterface):
"""A FAST GI string in a WPC machine."""
def __init__(self, number, sender):
"""Initialise GI string.
... | normal | {
"blob_id": "91cf6d08be2ad86c08de4dd48b2f35dedc55b4bb",
"index": 2177,
"step-1": "<mask token>\n\n\nclass FASTGIString(GIPlatformInterface):\n <mask token>\n\n def __init__(self, number, sender):\n \"\"\"Initialise GI string.\n\n TODO: Need to implement the enable_relay and control which stri... | [
3,
4,
5,
6,
7
] |
"""
Exercise 3 from the Python tutorial Part 1 on:
https://codeandwork.github.io/courses/prep/pythonTutorial1.html
"""
import math
print("Give the length of each side in order to compute the area of a triangle.")
lenA = float(input("Give the length of side A:"))
lenB = float(input("Give the length of side B:"))
len... | normal | {
"blob_id": "398cb05218a9772a0b62fdfbacc465b26427827d",
"index": 2854,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(\n 'Give the length of each side in order to compute the area of a triangle.')\n<mask token>\nprint('The triangle area is:', triangleArea)\n",
"step-3": "<mask token>\nprint(\n... | [
0,
1,
2,
3,
4
] |
import sys
import os
import numpy as np
import math
sys.path.append("../")
from sir.improveagent import *
import numpy as np
import numpy.linalg as la
import matplotlib.pyplot as plt
#from sklearn.neighbors import BallTree
from scipy.spatial import KDTree
from scipy.spatial import cKDTree
from scipy.spatial.distance im... | normal | {
"blob_id": "92317996f884befd646138cd3a3dc3f8345679f4",
"index": 2122,
"step-1": "<mask token>\n\n\ndef run_Simulation2(k, N=100, T=10, start=1, p=0.5, q=0.08, startcenter=\n False, startcorner=False):\n \"\"\"\n run the simulation for the pop\n \"\"\"\n recover = [0]\n infect = [start]\n su... | [
3,
4,
5,
6,
7
] |
# -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'Admin.ui'
#
# Created by: PyQt5 UI code generator 5.12
#
# WARNING! All changes made in this file will be lost!
from PyQt5 import QtCore, QtGui, QtWidgets
from qtpandas.views.DataTableView import DataTableWidget
from qtpandas.models.DataFra... | normal | {
"blob_id": "5e2a8e95af88a582b6e760a53dfd41f880d66963",
"index": 2670,
"step-1": "<mask token>\n\n\nclass Ui_Admin(object):\n <mask token>\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass Ui_Admin(object):\n\n def setupUi(self, Admin):\n Admin.setObjectName('Admin')\n Admin.resize(6... | [
1,
2,
3,
4,
5
] |
import random
from datetime import timedelta
from typing import Union, Type, Tuple, List, Dict
from django import http
from django.test import TestCase, Client
from django.utils import timezone
from exam_web import errors
from exam_web.models import Student, AcademyGroup, uuid_str, ExamSession, \
UserSession, Que... | normal | {
"blob_id": "44e4151279884ce7c5d5a9e5c82916ce2d3ccbc2",
"index": 9789,
"step-1": "<mask token>\n\n\nclass TestGetExamTickets(ApiTestCase):\n get_exams: ApiClient\n session: ExamSession\n student_session: UserSession\n questions: List[Question]\n tickets: List[ExamTicket]\n ticket_map: Dict[str,... | [
15,
34,
42,
44,
45
] |
<|reserved_special_token_0|>
class ProbabilityNetwork:
def __init__(self, n, edges, probs):
self.nodes = list(range(n))
self.edges = edges
self.probs = probs
def parents(self, node):
return [a for a, b in edges if b == node]
def ancestralOrder(self):
order = []
... | flexible | {
"blob_id": "24fa41f916b54345e4647354f972bd22e130decf",
"index": 4016,
"step-1": "<mask token>\n\n\nclass ProbabilityNetwork:\n\n def __init__(self, n, edges, probs):\n self.nodes = list(range(n))\n self.edges = edges\n self.probs = probs\n\n def parents(self, node):\n return [a... | [
6,
7,
9,
10,
11
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
try:
from psycopg2 import connect
except:
pass
<|reserved_special_token_1|>
<|reserved_special_token_0|>
import pgnumpy
import cpgnumpy
from pgnumpy import connect
from pgnumpy import PgNumpy
from pgnumpy import PgInput... | flexible | {
"blob_id": "7e5cf782692d9cfb2718b2efcc83efa2ecb815cd",
"index": 1371,
"step-1": "<mask token>\n",
"step-2": "<mask token>\ntry:\n from psycopg2 import connect\nexcept:\n pass\n",
"step-3": "<mask token>\nimport pgnumpy\nimport cpgnumpy\nfrom pgnumpy import connect\nfrom pgnumpy import PgNumpy\nfrom pg... | [
0,
1,
2,
3
] |
#!/usr/bin/env python3
import sys
from argparse import ArgumentParser
from arg_checks import IsFile, MinInt
from visualisation import Visualisation
parser = ArgumentParser(description="Visualises DS simulations")
# The order of arguments in descending order of file frequency is: config, failures, log.
# This should... | normal | {
"blob_id": "1f953b20ff0eb868c2fbff367fafa8b651617e64",
"index": 6131,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nparser.add_argument('config', action=IsFile, help=\n 'configuration file used in simulation')\nparser.add_argument('log', action=IsFile, help=\n 'simulation log file to visualise')\... | [
0,
1,
2,
3,
4
] |
a = [66.25, 333, 333, 1, 1234.5]
a.index(333)
print(a)
| normal | {
"blob_id": "7aba77137b96071101078c38c1c9397bf837d92a",
"index": 1378,
"step-1": "<mask token>\n",
"step-2": "<mask token>\na.index(333)\nprint(a)\n",
"step-3": "a = [66.25, 333, 333, 1, 1234.5]\na.index(333)\nprint(a)\n",
"step-4": null,
"step-5": null,
"step-ids": [
0,
1,
2
]
} | [
0,
1,
2
] |
<|reserved_special_token_0|>
def fall_asleep(record: WarcRecord):
current_uri: str = record.target_uri
start_time = str(datetime.now())
process_id = str(os.getpid())
print('@@1 falling asleep in process {} at {} processing {}'.format(
process_id, start_time, current_uri))
time.sleep(5)
... | flexible | {
"blob_id": "fccdf75fe83ad8388c12a63555c4132181fd349a",
"index": 1646,
"step-1": "<mask token>\n\n\ndef fall_asleep(record: WarcRecord):\n current_uri: str = record.target_uri\n start_time = str(datetime.now())\n process_id = str(os.getpid())\n print('@@1 falling asleep in process {} at {} processing... | [
2,
3,
4,
5,
6
] |
#!/usr/bin/env python
# ----------------------------------------------------------
# RJGlass Main Program version 0.2 8/1/07
# ----------------------------------------------------------
# Copyright 2007 Michael LaBrie
#
# This file is part of RJGlass.
#
# RJGlass is free software; you can redistribute it and/or ... | normal | {
"blob_id": "aafadcbf946db8ed85e3df48f5411967ec35c318",
"index": 7333,
"step-1": "#!/usr/bin/env python\n# ----------------------------------------------------------\n# RJGlass Main Program version 0.2 8/1/07\n# ----------------------------------------------------------\n# Copyright 2007 Michael LaBrie\n#\n# ... | [
0
] |
<|reserved_special_token_0|>
class TestCategory(TestCase):
def test_str(self):
category = Category(name='Test Category')
self.assertEquals(str(category), 'Test Category')
class TestTag(TestCase):
def test_str(self):
tag = Tag(name='Test Tag')
self.assertEquals(str(tag), 'Te... | flexible | {
"blob_id": "825c9510b055c0fa570f577b1c9616e8bde9c98b",
"index": 7653,
"step-1": "<mask token>\n\n\nclass TestCategory(TestCase):\n\n def test_str(self):\n category = Category(name='Test Category')\n self.assertEquals(str(category), 'Test Category')\n\n\nclass TestTag(TestCase):\n\n def test_... | [
4,
5,
6,
7,
8
] |
# project/tests/test_tmdb.py
import unittest
import json
from project.server import db
from project.server.models import Tmdb
from project.tests.base import BaseTestCase
class TestTmdb(BaseTestCase):
"""
Testing if we have the good responses from the api
"""
def test_discover(self):
""" Tes... | normal | {
"blob_id": "9e9403ea1c128e07803d080b337003055759c5ae",
"index": 4507,
"step-1": "<mask token>\n\n\nclass TestTmdb(BaseTestCase):\n <mask token>\n\n def test_discover(self):\n \"\"\" Testing the TMDB API discover endpoint \"\"\"\n response = Tmdb.discover()\n self.assertTrue(int(respon... | [
4,
5,
6,
7,
10
] |
for row in range(7):
for col in range(5):
if (col == 0) or (row % 3 == 0):
print("*", end=" ")
else:
print(" ", end=" ")
print()
| normal | {
"blob_id": "634c826d30b22c6061531c514914e9ca62b21605",
"index": 7158,
"step-1": "<mask token>\n",
"step-2": "for row in range(7):\n for col in range(5):\n if col == 0 or row % 3 == 0:\n print('*', end=' ')\n else:\n print(' ', end=' ')\n print()\n",
"step-3": "for r... | [
0,
1,
2
] |
"""
Day 2
"""
with open('input.txt', 'r') as f:
lines = f.read()
lines = lines.split('\n')[:-1]
lines = [l.split(' ') for l in lines]
valid = 0
new_valid = 0
for cur_pw in lines:
letter = cur_pw[1].strip(':')
amount = cur_pw[2].count(letter)
rule = cur_pw[0].split('-')
rule = [int(r) for r in ru... | normal | {
"blob_id": "46a3c3777d90976c7d39772d2e94430506d3acd7",
"index": 8025,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nwith open('input.txt', 'r') as f:\n lines = f.read()\n<mask token>\nfor cur_pw in lines:\n letter = cur_pw[1].strip(':')\n amount = cur_pw[2].count(letter)\n rule = cur_pw[0].... | [
0,
1,
2,
3
] |
"""
Unpacks and preprocesses all of the data from the tarball of partial data,
which includes the flats and dark frames.
"""
import tools.unpack
import util.files
import util.dark
import util.flat
def main():
tools.unpack.main()
util.files.main()
util.dark.main()
util.flat.main()
if __name__ == '__m... | normal | {
"blob_id": "3667651697ac1c093d48fe2c4baa4b4dbdf20f8a",
"index": 6832,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef main():\n tools.unpack.main()\n util.files.main()\n util.dark.main()\n util.flat.main()\n\n\n<mask token>\n",
"step-3": "<mask token>\n\n\ndef main():\n tools.unp... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
class MoveActorsAction(Action):
<|reserved_special_token_0|>
def execute(self, cast):
"""Executes the action using the given actors.
Args:
cast (dict): The game actors {key: tag, value: list}.
"""
for group in cast.values():
... | flexible | {
"blob_id": "3be7183b5c1d86ee0ebfdea89c6459efe89510f8",
"index": 6103,
"step-1": "<mask token>\n\n\nclass MoveActorsAction(Action):\n <mask token>\n\n def execute(self, cast):\n \"\"\"Executes the action using the given actors.\n\n Args:\n cast (dict): The game actors {key: tag, va... | [
2,
3,
4,
5,
6
] |
# -*- coding: utf-8 -*-
file1 = raw_input("Enter the path of your first file: ")
file2 = raw_input("Enter the path of your second file: ")
Basex = open(file1).read().split()
Basey = open(file2).read().split()
if Basex != Basey:
print("The files are different!")
else:
print("The files are the same!")
| normal | {
"blob_id": "661d82adc7d0746635fb57abf6d0e70ee615ada4",
"index": 5974,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nif Basex != Basey:\n print('The files are different!')\nelse:\n print('The files are the same!')\n",
"step-3": "file1 = raw_input('Enter the path of your first file: ')\nfile2 = r... | [
0,
1,
2,
3
] |
# -*- coding: utf-8 -*-
from django.conf.urls import patterns, include, url
from django.contrib.auth.views import login, logout
from django.contrib import admin
from magmag_core.app import application
from django.contrib.staticfiles.urls import staticfiles_urlpatterns
from django.conf.urls.static import static
from mag... | normal | {
"blob_id": "538e582df7bfcf281973a5296adc14ca067be0a5",
"index": 2581,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nadmin.autodiscover()\n<mask token>\nurlpatterns += staticfiles_urlpatterns()\nurlpatterns += static(settings.MEDIA_URL, document_root=settings.MEDIA_ROOT)\n",
"step-3": "<mask token>\na... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
driver.get('https://www.facebook.com')
<|reserved_special_token_0|>
print(soup.prettify())
driver.close()
<|reserved_special_token_1|>
<|reserved_special_token_0|>
driver = webdriver.Chrome('/Users/UserName/Downloads/chromedriv... | flexible | {
"blob_id": "03b2b722832eb46f3f81618f70fd0475f1f08c94",
"index": 2997,
"step-1": "<mask token>\n",
"step-2": "<mask token>\ndriver.get('https://www.facebook.com')\n<mask token>\nprint(soup.prettify())\ndriver.close()\n",
"step-3": "<mask token>\ndriver = webdriver.Chrome('/Users/UserName/Downloads/chromedriv... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
@override_settings(RETHINK_DB_DB=os.environ.get('RETHINK_DB_DB',
'django_rethinkci'))
class APITests(TestCase):
@classmethod
def setUpClass(cls):
super(APITests, cls).setUpClass()
cls.conn = r.connect(host=settings.RETHINK_DB_HOST, port=settings.
R... | flexible | {
"blob_id": "d5d12e2269b343dde78534eddf2cce06759eb264",
"index": 9128,
"step-1": "<mask token>\n\n\n@override_settings(RETHINK_DB_DB=os.environ.get('RETHINK_DB_DB',\n 'django_rethinkci'))\nclass APITests(TestCase):\n\n @classmethod\n def setUpClass(cls):\n super(APITests, cls).setUpClass()\n ... | [
8,
12,
14,
18,
19
] |
#!/usr/bin/python
import glob
import pandas as pd
import numpy as np
manifest = pd.read_csv('./manifest.csv', sep=',', names=['projectId','records'], skiprows=[0])
mailTypes = pd.read_csv('./mail_types.csv', sep=',', names=['typeId','typeName'], skiprows=[0])
#----- mailTypes['typeId'] = pd.to_numeric(mailTypes['ty... | normal | {
"blob_id": "2ea33fd06be888db5cda86b345f535532d2a05b5",
"index": 4268,
"step-1": "#!/usr/bin/python \n\nimport glob\nimport pandas as pd\nimport numpy as np\n\nmanifest = pd.read_csv('./manifest.csv', sep=',', names=['projectId','records'], skiprows=[0])\nmailTypes = pd.read_csv('./mail_types.csv', sep=',', name... | [
0
] |
from .base import Base
class Files(Base):
endpoint = "/files"
def upload_file(self, channel_id, files):
return self.client.post(self.endpoint, data={"channel_id": channel_id}, files=files)
def get_file(self, file_id):
return self.client.get(
self.endpoint + "/" + file_id,
... | normal | {
"blob_id": "0686dec7f3dc23f01ffff41f611a1bb597bb5352",
"index": 829,
"step-1": "<mask token>\n\n\nclass Files(Base):\n <mask token>\n\n def upload_file(self, channel_id, files):\n return self.client.post(self.endpoint, data={'channel_id':\n channel_id}, files=files)\n\n def get_file(s... | [
5,
6,
8,
9,
10
] |
from numpy import array, sum
def comp_point_ref(self, is_set=False):
"""Compute the point ref of the Surface
Parameters
----------
self : SurfLine
A SurfLine object
is_set: bool
True to update the point_ref property
Returns
-------
point_ref : complex
the refe... | normal | {
"blob_id": "b7721e95cfb509a7c0c6ccdffa3a8ca2c6bd6033",
"index": 6713,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef comp_point_ref(self, is_set=False):\n \"\"\"Compute the point ref of the Surface\n\n Parameters\n ----------\n self : SurfLine\n A SurfLine object\n is_set: ... | [
0,
1,
2
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
print(rak * int(n))
<|reserved_special_token_1|>
rak = 'hello\n'
n = input()
print(rak * int(n))
<|reserved_special_token_1|>
rak="hello\n"
n=input()
print(rak * int(n))
| flexible | {
"blob_id": "b0e4042ac4ed54cafedb9e53244c164527559e39",
"index": 5406,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(rak * int(n))\n",
"step-3": "rak = 'hello\\n'\nn = input()\nprint(rak * int(n))\n",
"step-4": "rak=\"hello\\n\"\nn=input()\nprint(rak * int(n)) \n",
"step-5": null,
"step-i... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
class Trophy(AnimatedSprite):
def __init__(self, position, image_dict, hold_for_n_frames=3):
super().__init__(position, image_dict, hold_for_n_frames)
self.initial_position = position
self.frames_alive = 0
<|reserved_special_token_0|>
<|reserved_special_... | flexible | {
"blob_id": "883cb1e3ea227bb5ac5aa3b4348336ab1a7fba70",
"index": 3476,
"step-1": "<mask token>\n\n\nclass Trophy(AnimatedSprite):\n\n def __init__(self, position, image_dict, hold_for_n_frames=3):\n super().__init__(position, image_dict, hold_for_n_frames)\n self.initial_position = position\n ... | [
2,
3,
4,
5,
6
] |
import re
from prometheus_client.core import GaugeMetricFamily
class ArrayHardwareMetrics:
def __init__(self, fa):
self.fa = fa
self.chassis_health = None
self.controller_health = None
self.component_health = None
self.temperature = None
self.temperature = None
... | normal | {
"blob_id": "527d514cbad0916fecfe0da68de04d3b130d94c7",
"index": 5156,
"step-1": "<mask token>\n\n\nclass ArrayHardwareMetrics:\n <mask token>\n <mask token>\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass ArrayHardwareMetrics:\n\n def __init__(self, fa):\n self.fa = fa\n self.c... | [
1,
2,
3,
5,
6
] |
<|reserved_special_token_0|>
class RemoteSubroutineRunner(ISubroutineRunner):
<|reserved_special_token_0|>
def execute_charge_subroutine(self, callback: CommandCallback) ->None:
"""
:raises BlockingIOError: command already running
"""
self._start_command(self._remote_service.... | flexible | {
"blob_id": "75270fb4ed059f134b47b8937717cb7fe05d9499",
"index": 8833,
"step-1": "<mask token>\n\n\nclass RemoteSubroutineRunner(ISubroutineRunner):\n <mask token>\n\n def execute_charge_subroutine(self, callback: CommandCallback) ->None:\n \"\"\"\n\n :raises BlockingIOError: command already ... | [
14,
15,
17,
19,
21
] |
import logging
from exceptions.invalid_api_usage import InvalidAPIUsage
from wgadget.endpoints.ep import EP
class EPInfoLight(EP):
NAME = 'info_light'
URL = '/info'
URL_ROUTE_PAR_PAYLOAD = '/'
URL_ROUTE_PAR_URL = '/actuatorId/<actuatorId>'
METHOD = 'GET'
ATTR_ACTUATOR_ID = 'actuatorId'
... | normal | {
"blob_id": "e5abab3f718bbbd25dcfc49290383203d53248c3",
"index": 9464,
"step-1": "<mask token>\n\n\nclass EPInfoLight(EP):\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 <mask token>\n",
"ste... | [
1,
3,
4,
6,
8
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
for i in range(0, len(a)):
print('main')
sorted = True
for j in range(1, len(a) - i):
if a[j] < a[j - 1]:
a[j], a[j - 1] = a[j - 1], a[j]
print('inner')
print(a)
... | flexible | {
"blob_id": "30fbe52a5e3fb184a998fce43d716cffdaf0d2dc",
"index": 1790,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor i in range(0, len(a)):\n print('main')\n sorted = True\n for j in range(1, len(a) - i):\n if a[j] < a[j - 1]:\n a[j], a[j - 1] = a[j - 1], a[j]\n ... | [
0,
1,
2,
3
] |
from django.shortcuts import render
from django.http import HttpResponse
def view1(request):
return HttpResponse(" Hey..,This is the first view using HttpResponce!")
def view2(request):
context={"tag_var":"tag_var"}
return render(request,"new.html",context)
# Create your views here.
| normal | {
"blob_id": "c9b62328a463fd38f3dbd1e7b5e1990f7eec1dba",
"index": 9793,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef view2(request):\n context = {'tag_var': 'tag_var'}\n return render(request, 'new.html', context)\n",
"step-3": "<mask token>\n\n\ndef view1(request):\n return HttpRespo... | [
0,
1,
2,
3,
4
] |
import pytest
import app
import urllib.parse
@pytest.fixture
def client():
app.app.config['TESTING'] = True
with app.app.test_client() as client:
yield client
def test_query_missing_args(client):
response = client.get('/data/query')
assert 'errors' in response.json and '400' in response.sta... | normal | {
"blob_id": "a598da0a749fcc5a6719cec31ede0eb13fab228e",
"index": 3171,
"step-1": "<mask token>\n\n\n@pytest.fixture\ndef client():\n app.app.config['TESTING'] = True\n with app.app.test_client() as client:\n yield client\n\n\ndef test_query_missing_args(client):\n response = client.get('/data/que... | [
6,
7,
9,
10,
11
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
while True:
answer = zfile.read(nothing).decode('utf-8')
comments += zfile.getinfo(nothing).comment.decode('utf-8')
print(answer)
findRet = re.findall(target, answer)
if len(findRet) == 0:
break
not... | flexible | {
"blob_id": "b1fe7e318c361930c8ad00758bcb86597fd8f3bd",
"index": 2567,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nwhile True:\n answer = zfile.read(nothing).decode('utf-8')\n comments += zfile.getinfo(nothing).comment.decode('utf-8')\n print(answer)\n findRet = re.findall(target, answer)\... | [
0,
1,
2,
3,
4
] |
"""
Creating flask server that response with a json
"""
from flask import Flask
from flask import jsonify
micro_service = Flask(__name__)
@micro_service.route('/') # http://mysite.com/
def home():
return jsonify({'message': 'Hello, world!'})
if __name__ == '__main__':
micro_service.run()
| normal | {
"blob_id": "4b14dee3625d5d0c703176ed2f0a28b2583fd84d",
"index": 6519,
"step-1": "<mask token>\n\n\n@micro_service.route('/')\ndef home():\n return jsonify({'message': 'Hello, world!'})\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\n@micro_service.route('/')\ndef home():\n return jsonify({'message': ... | [
1,
2,
3,
4,
5
] |
# -*- coding: utf-8 -*-
"""MicroPython rotary encoder library."""
from machine import Pin
ENC_STATES = (0, -1, 1, 0, 1, 0, 0, -1, -1, 0, 0, 1, 0, 1, -1, 0)
class Encoder(object):
def __init__(self, pin_x='P4', pin_y='P5', pin_mode=Pin.PULL_UP,
scale=1, min=0, max=100, reverse=False):
s... | normal | {
"blob_id": "1406b2ab78b52823a8f455c8e2719f6bd84bd168",
"index": 822,
"step-1": "<mask token>\n\n\nclass Encoder(object):\n\n def __init__(self, pin_x='P4', pin_y='P5', pin_mode=Pin.PULL_UP, scale=\n 1, min=0, max=100, reverse=False):\n self.pin_x = pin_x if isinstance(pin_x, Pin) else Pin(pin_x... | [
7,
9,
10,
11,
12
] |
# -*- coding=utf-8 -*-
from mako.template import Template
from xblock.fragment import Fragment
from .lookup import TemplateLookup # xblock_ifmo.lookup
from .utils import deep_update
class FragmentMakoChain(Fragment):
"""
Класс, позволяющий последовательно оборачивать экземпляры Fragment друг в
друга.
... | normal | {
"blob_id": "9d904225afd4f4d0cf338ae16f031f8ab41639ad",
"index": 234,
"step-1": "<mask token>\n\n\nclass FragmentMakoChain(Fragment):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n def __init__(self, content=None, base=None, lookup_dirs=None):\n \"\"\"\n ... | [
7,
8,
9,
11,
12
] |
class Circle:
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_1|>
class Circle:
def __init__(self, radius, color='white'):
self.radius = radius
self.color = color
<|reserved_special_token_0|>
<|reserved_special_token_1|>
class Circle:
def __init... | flexible | {
"blob_id": "6ce50552571594c7be77ac0bf3b5274f2f39e545",
"index": 5086,
"step-1": "class Circle:\n <mask token>\n\n\n<mask token>\n",
"step-2": "class Circle:\n\n def __init__(self, radius, color='white'):\n self.radius = radius\n self.color = color\n\n\n<mask token>\n",
"step-3": "class C... | [
1,
2,
3,
4,
5
] |
# -*- coding: utf-8 -*-
scheme = 'http'
hostname = 'localhost'
port = 9000
routes = [
'/available/2',
'/available/4'
]
| normal | {
"blob_id": "d1402469232b5e3c3b09339849f6899e009fd74b",
"index": 3323,
"step-1": "<mask token>\n",
"step-2": "scheme = 'http'\nhostname = 'localhost'\nport = 9000\nroutes = ['/available/2', '/available/4']\n",
"step-3": "# -*- coding: utf-8 -*-\n\n\nscheme = 'http'\n\nhostname = 'localhost'\n\nport = 9000\n\... | [
0,
1,
2
] |
import math
import numpy as np
# import tkinter
import tensorflow as tf
from matplotlib import axis
import os
from sklearn.base import BaseEstimator, TransformerMixin
from sklearn.cluster import KMeans
from sklearn.metrics import confusion_matrix
class MD(BaseEstimator, TransformerMixin):
def __init__(self, data,... | normal | {
"blob_id": "a9947884e805cc8fcb6bff010a5f6e0ff0bb01fe",
"index": 8393,
"step-1": "<mask token>\n\n\nclass MD(BaseEstimator, TransformerMixin):\n <mask token>\n\n def _init_graph(self):\n \"\"\"\n Init a tensorflow Graph containing: input data, variables, model, loss, optimizer\n \"\"\"... | [
4,
8,
9,
11,
13
] |
import sys
sys.path.append('.')
import torch
from torch.nn import functional as F
import os
import yaml
from src.new_grad_cam import gc
def test(conf):
device = conf['device']
dataset = conf['test_dataset']
classes = conf['data']['classes']
weights_path = conf['weights_path']
results_dir = conf['r... | normal | {
"blob_id": "b57b6df1b7e551f64033a0c47e5a22eab9fd5fd4",
"index": 7616,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef test(conf):\n device = conf['device']\n dataset = conf['test_dataset']\n classes = conf['data']['classes']\n weights_path = conf['weights_path']\n results_dir = con... | [
0,
1,
2,
3
] |
# Generated by Django 3.0.4 on 2021-03-27 19:18
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('electra', '0009_remove_response_img'),
]
operations = [
migrations.AddField(
model_name='response',
name='date_time'... | normal | {
"blob_id": "049d83bc1a31ef170654fda47d1f58e024befb44",
"index": 8220,
"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 = [('electra', '... | [
0,
1,
2,
3,
4
] |
from ScientificColorschemez import Colorschemez
import matplotlib.pyplot as plt
cs = Colorschemez.latest()
for name, hexcode in zip(cs.colornames, cs.colors):
print('%s: %s' % (hexcode, name))
fig, ax = plt.subplots()
cs.example_plot(ax)
fig.savefig('latest.png', dpi=200, bbox_inches='tight')
| normal | {
"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
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class UserInfo(APIView):
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class UserInfo(APIView):
@swagger_auto_schema(operation_description=
'Get information about th... | flexible | {
"blob_id": "c45ffe8cba8d152e346182252dbc43e22eaf83e2",
"index": 3498,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass UserInfo(APIView):\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass UserInfo(APIView):\n\n @swagger_auto_schema(operation_description=\n 'Get information abo... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class PersianConfig(AppConfig):
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class PersianConfig(AppConfig):
name = 'persian'
<|reserved_special_token_1|>
from django.app... | flexible | {
"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
] |
from redstork import PageObject
class AnnotController:
def get_annotations(self, project, page_index):
page = project.doc[page_index]
yield from page.flat_iter()
| normal | {
"blob_id": "6ca2a9040897e49c6407b9b0760240fec93b4df0",
"index": 3067,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass AnnotController:\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass AnnotController:\n\n def get_annotations(self, project, page_index):\n page = project.doc[p... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
def func():
global data
print('%s is acquire lock..\n' % threading.current_thread().getName())
if lock.acquire():
print('%s get lock ' % threading.current_thread().getName())
data += 1
time.sleep(2)
print('%s release lock ' % threading.current_t... | flexible | {
"blob_id": "7aa426723f5311b5abec4a7ace9d3ec1e5e31d9a",
"index": 5966,
"step-1": "<mask token>\n\n\ndef func():\n global data\n print('%s is acquire lock..\\n' % threading.current_thread().getName())\n if lock.acquire():\n print('%s get lock ' % threading.current_thread().getName())\n data... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class Solution:
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class Solution:
def areAlmostEqual(self, s1, s2):
if not len(s1) == len(... | flexible | {
"blob_id": "5efb8151375d705f3591921654f847e45b6927c9",
"index": 3614,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass Solution:\n <mask token>\n\n\n<mask token>\n",
"step-3": "<mask token>\n\n\nclass Solution:\n\n def areAlmostEqual(self, s1, s2):\n if not len(s1) == len(s2):\n ... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
class Music(object):
<|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|>
... | flexible | {
"blob_id": "2caea9e7bbef99b19ba917995513413385c7abdf",
"index": 9808,
"step-1": "<mask token>\n\n\nclass Music(object):\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 @staticmethod\n def ... | [
12,
18,
21,
24,
25
] |
ba0563.pngMap = [
'00000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000',
'00000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000',
'0000000000000000000000000000000000000... | normal | {
"blob_id": "dab1adcd185092fc425b5d87150f27e7b67bff6c",
"index": 151,
"step-1": "<mask token>\n",
"step-2": "ba0563.pngMap = [\n '00000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000'\n ,\n '00000000000000000000000000000000000... | [
0,
1,
2
] |
class Node:
"""
This class represent a node (vertex).
"""
def __init__(self, k: int = None, loc: tuple = None, **kwargs):
"""
Each node contain dew fields:
key: node_id.
location: node's position represent as 3DPoint.
ni_out: a dictionary that holds all the "edge... | normal | {
"blob_id": "9c3f6c368c764918da5cce44da574b7c041fa414",
"index": 1364,
"step-1": "class Node:\n <mask token>\n\n def __init__(self, k: int=None, loc: tuple=None, **kwargs):\n \"\"\"\n Each node contain dew fields:\n key: node_id.\n location: node's position represent as 3DPoint.... | [
12,
13,
14,
15,
16
] |
# Generated by Django 2.2.16 on 2020-10-27 14:55
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('trades', '0001_initial'),
]
operations = [
migrations.AddField(
model_name='orderinfo',
name='nonce_str',
... | normal | {
"blob_id": "4e04e748a97c59a26a394b049c15d96476b98517",
"index": 9382,
"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 = [('trades', '0... | [
0,
1,
2,
3,
4
] |
import os
from distutils.core import Extension
REPROJECT_ROOT = os.path.relpath(os.path.dirname(__file__))
def get_extensions():
libraries = []
sources = []
sources.append(os.path.join(REPROJECT_ROOT, "_overlap.c"))
sources.append(os.path.join(REPROJECT_ROOT, "overlapArea.c"))
sources.append(os... | normal | {
"blob_id": "ad079876476f6f291ad52aece8d0d5afdd5a8bcf",
"index": 9892,
"step-1": "<mask token>\n\n\ndef get_extensions():\n libraries = []\n sources = []\n sources.append(os.path.join(REPROJECT_ROOT, '_overlap.c'))\n sources.append(os.path.join(REPROJECT_ROOT, 'overlapArea.c'))\n sources.append(os... | [
1,
2,
3,
4,
5
] |
# Generated by Django 2.1.7 on 2019-03-14 07:27
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('training_area', '0002_event'),
]
operations = [
migrations.AddField(
model_name='event',
... | normal | {
"blob_id": "9555ed63b3906ec23c31839691a089aad9d96c63",
"index": 9917,
"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 = [('training_ar... | [
0,
1,
2,
3,
4
] |
from ddt import ddt, data, unpack
import sys
sys.path.append("..")
from pages.homepage import HomePage
from base.basetestcase import BaseTestCase
from helpers.filedatahelper import get_data
@ddt
class QuickSearchTest(BaseTestCase):
testingdata = get_data('testdata/QuickSearchTestData.xlsx')
@data(*testingdata... | normal | {
"blob_id": "4ba0f7e947830018695c8c9e68a96426f49b4b5b",
"index": 3326,
"step-1": "<mask token>\n\n\n@ddt\nclass QuickSearchTest(BaseTestCase):\n <mask token>\n\n @data(*testingdata)\n @unpack\n def test_QuickSearch(self, search_value, expected_result, notes):\n homepage = HomePage(self.driver)... | [
2,
3,
4,
5,
6
] |
from django.core.exceptions import ValidationError
from django.utils import timezone
def year_validator(value):
if value < 1 or value > timezone.now().year:
raise ValidationError(
('%s is not a correct year!' % value)
)
def raiting_validator(value):
if value < 1 or value > 10:
... | normal | {
"blob_id": "7a6d5309580b673413f57047e631a08e61e837cf",
"index": 4447,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef raiting_validator(value):\n if value < 1 or value > 10:\n raise ValidationError('%s is not a caorrect raiting!' % value)\n",
"step-3": "<mask token>\n\n\ndef year_vali... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
print(weekdays[a])
<|reserved_special_token_1|>
weekdays = ['Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday',
'Saturday', 'Sunday']
i = input('Enter a day of the week and number of days: ').split()
e = int(i[-1])
star... | flexible | {
"blob_id": "5f7d05c642339ce0ab02a65ca41f9ee89c2faf57",
"index": 4240,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(weekdays[a])\n",
"step-3": "weekdays = ['Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday',\n 'Saturday', 'Sunday']\ni = input('Enter a day of the week and number of days: ... | [
0,
1,
2
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def Create(obj, targetColor, control, attr, offset):
shape = obj.getShape()
name = obj.name()
if type(shape) == pm.Mesh:
outVerts = []
verts = shape.vtx[:]
for i, vert in enumerate(verts):
... | flexible | {
"blob_id": "9061db3bb3aa3178262af58e56126302b9effdff",
"index": 6509,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef Create(obj, targetColor, control, attr, offset):\n shape = obj.getShape()\n name = obj.name()\n if type(shape) == pm.Mesh:\n outVerts = []\n verts = shape.v... | [
0,
1,
2,
3,
4
] |
from find import Solution
array = [[1, 2, 3], [4, 5, 6], [7, 8, 9]]
solution = Solution.Find(6, array)
| normal | {
"blob_id": "d4361b169bf75d3af82eca3d26609961ccc2f27e",
"index": 2405,
"step-1": "<mask token>\n",
"step-2": "<mask token>\narray = [[1, 2, 3], [4, 5, 6], [7, 8, 9]]\nsolution = Solution.Find(6, array)\n",
"step-3": "from find import Solution\narray = [[1, 2, 3], [4, 5, 6], [7, 8, 9]]\nsolution = Solution.Fi... | [
0,
1,
2
] |
from .submit import *
from .fck import *
| normal | {
"blob_id": "9a5ba88a61f5c27c0bc7b980fa9d865b52cbbb20",
"index": 7266,
"step-1": "<mask token>\n",
"step-2": "from .submit import *\nfrom .fck import *\n",
"step-3": null,
"step-4": null,
"step-5": null,
"step-ids": [
0,
1
]
} | [
0,
1
] |
<|reserved_special_token_0|>
class VehiclePhoto:
<|reserved_special_token_0|>
def __repr__(self):
return f'{self.VehiclePhotoID} {self.VIN} {self.UrlVdp}'
<|reserved_special_token_1|>
class Image:
<|reserved_special_token_0|>
<|reserved_special_token_0|>
class VehiclePhoto:
def __in... | flexible | {
"blob_id": "3dc4e10145ad42c0168fec3462da0f87c1e661a5",
"index": 8701,
"step-1": "<mask token>\n\n\nclass VehiclePhoto:\n <mask token>\n\n def __repr__(self):\n return f'{self.VehiclePhotoID} {self.VIN} {self.UrlVdp}'\n",
"step-2": "class Image:\n <mask token>\n <mask token>\n\n\nclass Vehic... | [
2,
4,
5,
6,
7
] |
__author__ = 'Joe'
import sys
sys.path.insert(0,'../src/')
import grocery_functions
import unittest
class TestGroceryFuncs(unittest.TestCase):
def test_getRecipeNames(self):
recipe_names = grocery_functions.get_recipe_names("test-recipes")
self.assertTrue(recipe_names[0] == "Cajun Chicken & Rice"... | normal | {
"blob_id": "c4fbf206482a04f3e2d2aa98a0dbf525a176c4e7",
"index": 1087,
"step-1": "<mask token>\n\n\nclass TestGroceryFuncs(unittest.TestCase):\n\n def test_getRecipeNames(self):\n recipe_names = grocery_functions.get_recipe_names('test-recipes')\n self.assertTrue(recipe_names[0] == 'Cajun Chicke... | [
4,
8,
12,
14,
15
] |
<|reserved_special_token_0|>
def obtain_confidence(sim=False):
if sim:
noise = np.random.normal(0, 0.6, size=1)[0]
return noise
filename = 'Confidence.txt'
lines = open(filename).read().splitlines()
try:
confidence = float(lines[-1])
except ValueError:
print('Failed... | flexible | {
"blob_id": "6defbe25fc17e53df2fc4d32886bba1cb141bdfd",
"index": 7018,
"step-1": "<mask token>\n\n\ndef obtain_confidence(sim=False):\n if sim:\n noise = np.random.normal(0, 0.6, size=1)[0]\n return noise\n filename = 'Confidence.txt'\n lines = open(filename).read().splitlines()\n try:\... | [
2,
3,
4,
5,
6
] |
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