code stringlengths 13 6.09M | order_type stringclasses 2
values | original_example dict | step_ids listlengths 1 5 |
|---|---|---|---|
# 문제 설명
# 길이가 같은 두 1차원 정수 배열 a, b가 매개변수로 주어집니다. a와 b의 내적을 return 하도록 solution 함수를 완성해주세요.
# 이때, a와 b의 내적은 a[0]*b[0] + a[1]*b[1] + ... + a[n-1]*b[n-1] 입니다. (n은 a, b의 길이)
# 제한사항
# a, b의 길이는 1 이상 1,000 이하입니다.
# a, b의 모든 수는 -1,000 이상 1,000 이하입니다.
# 입출력 예
# a b result
# [1,2,3,4] [-3,-1,0,2] 3
# [-1,0,1] [1,0,-1] -2
# 입출력... | normal | {
"blob_id": "5b8322761975ebec76d1dccd0290c0fb1da404e5",
"index": 5999,
"step-1": "<mask token>\n\n\ndef solution2(a, b):\n answer = [(a[i] * b[i]) for i in range(len(a))]\n return sum(answer)\n\n\n<mask token>\n\n\ndef solution5(a, b):\n answer = sum([(i * j) for i, j in zip(a, b)])\n return answer\n... | [
2,
3,
4,
5,
6
] |
from data.dataframe_sequence_multi import DataFrameSequenceMulti
from metrics import Metrics
from models.models_ts_multi import lstm_model_multi
import threading
import sys
from keras import optimizers
from data.data_helper import plot_history
epochs = 100
start = 6
end = 18
res = []
sets = []
min_vals = []
min_loss ... | normal | {
"blob_id": "af903feda57e4ace0c7f909abbeb86bb9a7e4d8c",
"index": 1806,
"step-1": "<mask token>\n\n\ndef run_final_test_days():\n sqs = [5]\n cams = [1]\n permutations = [(True, True, True)]\n permutations_names = ['all data perez']\n for pidx, p in enumerate(permutations):\n for s in sqs:\n... | [
3,
5,
7,
8,
9
] |
<|reserved_special_token_0|>
def upgrade():
op.create_table('users', sa.Column('id', sa.Integer(), nullable=False),
sa.Column('firstname', sa.String(length=64), nullable=True), sa.
Column('lastname', sa.String(length=64), nullable=True), sa.Column(
'email', sa.String(length=120), nullable=... | flexible | {
"blob_id": "9989d31dfe13809d67f629cc283cd02ce354a74e",
"index": 115,
"step-1": "<mask token>\n\n\ndef upgrade():\n op.create_table('users', sa.Column('id', sa.Integer(), nullable=False),\n sa.Column('firstname', sa.String(length=64), nullable=True), sa.\n Column('lastname', sa.String(length=64)... | [
1,
2,
3,
4,
5
] |
from rest_framework import serializers
from urlshortner.models import UrlShortnerModel
from urlshortner.constants import HOST
class UrlShortRequest(serializers.Serializer):
url = serializers.CharField(required=True, max_length=255) # Long Url
expiry = serializers.DateTimeField(required=False)
class UrlLong... | normal | {
"blob_id": "6c16afe89d5d0fd6aa6911e3de9e9cebb57bf35e",
"index": 1752,
"step-1": "<mask token>\n\n\nclass UrlLongRequest(serializers.Serializer):\n url = serializers.CharField(required=True, max_length=64)\n\n def validate_url(self, url):\n if url.startswith(HOST):\n return url\n e... | [
4,
5,
6,
7,
8
] |
import json
import boto3
import os
import datetime
regionName = os.environ['AWS_REGION']
BUCKET_PATH = os.environ['BUCKET_PATH']
SENSITIVIT = os.environ['SENSITIVIT']
s3_client = boto3.client('s3', region_name=regionName)
ddb_resource = boto3.resource('dynamodb', region_name=regionName)
def lambda_handler(event, co... | normal | {
"blob_id": "8c96c38a67c2eb97e30b325e4917ba4888731118",
"index": 7349,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef lambda_handler(event, context):\n body = event\n videoPath = str(body['videoPath'])\n templatePath = str(body['templatePath'])\n facePath = str(body['facePath'])\n ... | [
0,
1,
2,
3,
4
] |
# RUSH HOUR
m = int(input('Enter number of males:'))
f = int(input('Enter number of females:'))
if m%20 == 0:
m2 = m//20
c = 20
else:
m2 = m//20+1
c = m%20
f2 = f - 10*m2
if f2 <= 0 or f2-(20-c) <=0:
print('Number of trains needed: '+str(m2))
else:
print('Number of trains ... | normal | {
"blob_id": "3c6ef57501e01da79f894b36726a93a3a5e0a8f6",
"index": 8068,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nif m % 20 == 0:\n m2 = m // 20\n c = 20\nelse:\n m2 = m // 20 + 1\n c = m % 20\n<mask token>\nif f2 <= 0 or f2 - (20 - c) <= 0:\n print('Number of trains needed: ' + str(m2... | [
0,
1,
2,
3
] |
def main():
' main entry point for module execution\n '
argument_spec = dict(src=dict(type='path'), replace_src=dict(), lines=dict(aliases=['commands'], type='list'), parents=dict(type='list'), before=dict(type='list'), after=dict(type='list'), match=dict(default='line', choices=['line', 'strict', 'exact', '... | normal | {
"blob_id": "99b5ac74da95dff399c31d58e19bac65e538a34b",
"index": 8012,
"step-1": "<mask token>\n",
"step-2": "def main():\n \"\"\" main entry point for module execution\n \"\"\"\n argument_spec = dict(src=dict(type='path'), replace_src=dict(), lines=\n dict(aliases=['commands'], type='list'), p... | [
0,
1,
2
] |
# Generated by Django 2.1.5 on 2021-06-01 19:16
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('fotbal', '0008_auto_20210601_2109'),
]
operations = [
migrations.RemoveField(
model_name='komenty',
name='jmeno',
),... | normal | {
"blob_id": "71ffad81bcbc480dc0a750680bc72e1d5c48556a",
"index": 3619,
"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 = [('fotbal', '0... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
class Meetup:
<|reserved_special_token_0|>
def check_if_meetup_exists(self, topic):
query = 'SELECT topic from meetups WHERE topic=%s;'
cur.execute(query, (topic,))
meetup = cur.fetchone()
if meetup:
return True
<|reserved_special_t... | flexible | {
"blob_id": "275f8b6ac31792a9e4bb823b61366f868e45ef4e",
"index": 6521,
"step-1": "<mask token>\n\n\nclass Meetup:\n <mask token>\n\n def check_if_meetup_exists(self, topic):\n query = 'SELECT topic from meetups WHERE topic=%s;'\n cur.execute(query, (topic,))\n meetup = cur.fetchone()\n... | [
4,
7,
8,
9,
10
] |
import re
def make_slug(string):
print(re.sub(^'\w','',string))
make_slug('#$gejcb#$evnk?.kjb')
| normal | {
"blob_id": "41e981e2192b600cdf9c9b515fe9f397cd1b8826",
"index": 5788,
"step-1": "import re\n\ndef make_slug(string):\n print(re.sub(^'\\w','',string))\n \nmake_slug('#$gejcb#$evnk?.kjb')\n",
"step-2": null,
"step-3": null,
"step-4": null,
"step-5": null,
"step-ids": [
0
]
} | [
0
] |
class _ProtectedClass:
pass
class MyClass:
pass
class OtherClass(MyClass):
pass
def _protected_fun() -> MyClass:
return variable # noqa: F821
def my_fun() -> MyClass:
return variable # noqa: F821
def my_fun2() -> MyClass:
return variable # noqa: F821
variable: MyClass
variable_wit... | normal | {
"blob_id": "b5949b40d731178bdbab776af8877921dcdfbf15",
"index": 3215,
"step-1": "class _ProtectedClass:\n pass\n\n\nclass MyClass:\n pass\n\n\nclass OtherClass(MyClass):\n pass\n\n\ndef _protected_fun() ->MyClass:\n return variable\n\n\n<mask token>\n\n\ndef my_fun2() ->MyClass:\n return variable... | [
5,
6,
7,
8,
9
] |
from binaryninja import *
import yara
def get_yara_rule_path():
return get_open_filename_input("Open YARA rule", "YARA rules (*.yar *.yara)")
def get_markdown_result(matches):
entry_fmt = "| {} | {} | {} |\n"
md_text = """# YARA - Scan results
| Rule Name | Function | Strings offsets |
|-----------|----------|---... | normal | {
"blob_id": "56d4532b633242f34f7a6ed86a35290836861f67",
"index": 4201,
"step-1": "<mask token>\n\n\ndef get_markdown_result(matches):\n entry_fmt = '| {} | {} | {} |\\n'\n md_text = \"\"\"# YARA - Scan results\n\n| Rule Name | Function | Strings offsets |\n|-----------|----------|-----------------|\n\"\"\"... | [
3,
4,
5,
6,
7
] |
<|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_1|>
<|reserved_special_token_0|>
class Migration(migrations.Migration):
dependencies = [(... | flexible | {
"blob_id": "fac60a8967354e4f306b95fdb5c75d02dc2c1455",
"index": 2247,
"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 = [('chat', '000... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def proper_parenthetics(string):
"""Return if parentheses are matching or not."""
if isinstance(string, str):
paren_q = Q()
for i in range(len(string)):
paren_q.enqueue(string[i])
open... | flexible | {
"blob_id": "a28ece0db9bf0d4c3ab26207216b1da45f7aaa0f",
"index": 7582,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef proper_parenthetics(string):\n \"\"\"Return if parentheses are matching or not.\"\"\"\n if isinstance(string, str):\n paren_q = Q()\n for i in range(len(string... | [
0,
1,
2,
3
] |
import json
import requests
import itertools
import logging
from shared_code.config.setting import Settings
from TailwindTraderFunc.cognitiveservices import CognitiveServices
from shared_code.storage.storage import BlobStorageService
class TailwindTraders():
def __init__(self, req):
self._settings = Sett... | normal | {
"blob_id": "75ba2448897bed8388a7b8d876827461e1bc9dd7",
"index": 2809,
"step-1": "<mask token>\n\n\nclass TailwindTraders:\n\n def __init__(self, req):\n self._settings = Settings()\n self._cs = CognitiveServices()\n self._storage = BlobStorageService(self._settings.\n get_stor... | [
5,
6,
7,
8,
9
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
admin.site.register(models.Comentario)
<|reserved_special_token_1|>
from django.contrib import admin
from . import models
admin.site.register(models.Comentario)
<|reserved_special_token_1|>
from django.contrib import admin
f... | flexible | {
"blob_id": "d7d94cfed0b819297069c3434c70359a327403cd",
"index": 718,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nadmin.site.register(models.Comentario)\n",
"step-3": "from django.contrib import admin\nfrom . import models\nadmin.site.register(models.Comentario)\n",
"step-4": "from django.contrib ... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
class Solution:
<|reserved_special_token_0|>
<|reserved_special_token_1|>
class Solution:
def uncommonFromSentences(self, A: str, B: str) ->List[str]:
word_count = {}
A = A.split()
B = B.split()
whole = A + B
... | flexible | {
"blob_id": "09420360ddcf2f74c2e130b4e09ae2a959e42e50",
"index": 8305,
"step-1": "<mask token>\n",
"step-2": "class Solution:\n <mask token>\n",
"step-3": "class Solution:\n\n def uncommonFromSentences(self, A: str, B: str) ->List[str]:\n word_count = {}\n A = A.split()\n B = B.spl... | [
0,
1,
2
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def index(request):
book_list = book.objects.all()
c = Context({'book_list': book_list})
return render_to_response('index.html', c)
<|reserved_special_token_1|>
from django.http import HttpResponse
from django.sho... | flexible | {
"blob_id": "441d224c37e0eae531c17db0e903b3344c570516",
"index": 9867,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef index(request):\n book_list = book.objects.all()\n c = Context({'book_list': book_list})\n return render_to_response('index.html', c)\n",
"step-3": "from django.http im... | [
0,
1,
2,
3
] |
# -*- snakemake -*-
#
# CENTIPEDE: Transcription factor footprinting and binding site prediction
# install.packages("CENTIPEDE", repos="http://R-Forge.R-project.org")
#
# http://centipede.uchicago.edu/
#
include: '../ngs.settings.smk'
config_default = {
'bio.ngs.motif.centipede' : {
'options' : '',
... | normal | {
"blob_id": "4620b52a43f2469ff0350d8ef6548de3a7fe1b55",
"index": 5019,
"step-1": "<mask token>\n",
"step-2": "include: '../ngs.settings.smk'\n<mask token>\nupdate_config(config_default, config)\n<mask token>\n",
"step-3": "include: '../ngs.settings.smk'\nconfig_default = {'bio.ngs.motif.centipede': {'options... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def main():
tools.unpack.main()
util.files.main()
util.dark.main()
util.flat.main()
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def main():
tools.unpack.main(... | flexible | {
"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
] |
# -*- coding: utf-8 -*-
"""
Created on Mon Mar 6 12:20:45 2017
@author: 7
"""
from os import listdir
from PIL import Image as PImage
from scipy import misc
import numpy as np
from Image_loader import LoadImages
"""
def LoadImages(path):
# return array of images
imagesList = listdir(path)
... | normal | {
"blob_id": "9cad36de6231f310ef9022f16f6ed0da83a003b3",
"index": 9757,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef ModifyImages(path, path1):\n imagesList = listdir(path)\n for image in imagesList:\n old_img = PImage.open(path + image)\n old_size = old_img.size\n new... | [
0,
1,
2,
3
] |
#coding: utf-8
import logging
from threading import Thread
from ldap import SCOPE_BASE
from seafevents.ldap_syncer.ldap_conn import LdapConn
from seafevents.ldap_syncer.utils import bytes2str, add_group_uuid_pair
from seaserv import get_group_dn_pairs
logger = logging.getLogger(__name__)
def migrate_dn_pairs(set... | normal | {
"blob_id": "8cc0393082448bb8f61068b5c96e89ef3aee77ed",
"index": 235,
"step-1": "<mask token>\n\n\nclass LdapSync(Thread):\n\n def __init__(self, settings):\n Thread.__init__(self)\n self.settings = settings\n\n def run(self):\n if self.settings.enable_group_sync:\n migrate_... | [
9,
10,
11,
12,
13
] |
"""
Authentication views.
login()
Flask view to log a user in.
"""
import functools
from typing import Any, Callable, cast, Dict
from flask import Blueprint, make_response, request, session
from werkzeug.security import check_password_hash as _check_password_hash
from .accesscontrol import PERMISSIONS
from .api... | normal | {
"blob_id": "2d36ae916ad257615016ed6c0bc67e506ee313c9",
"index": 1528,
"step-1": "<mask token>\n\n\n@bp.route('/login', methods=('POST',))\ndef login() ->Any:\n \"\"\"Flask view for logging a user in.\"\"\"\n user_dict = UserSchema().load(request.json, partial=('id',\n 'qualifications') + PERMISSION... | [
4,
6,
7,
8,
9
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
def fibonacci(quantidade):
resultado = [1, 2]
for _ in range(2, quantidade):
resultado.append(sum(resultado[-2:]))
return resultado
<|reserved_special_token_0|>
<|reserved_special_token_1|>
def fibonacci(quantidade):
resultado = [... | flexible | {
"blob_id": "83c7bb2e109f8affd9e2a12e8c5370b0f5a34048",
"index": 653,
"step-1": "<mask token>\n",
"step-2": "def fibonacci(quantidade):\n resultado = [1, 2]\n for _ in range(2, quantidade):\n resultado.append(sum(resultado[-2:]))\n return resultado\n\n\n<mask token>\n",
"step-3": "def fibonac... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
with open('speaker_book.txt') as fin:
for line in fin:
elems = line.split('|')
ID = elems[0].lstrip().strip()
speaker = elems[1].lstrip().strip()
subset = elems[3].lstrip().strip()
book ... | flexible | {
"blob_id": "3b41bd59c133bb04dae3aa48dc0699388d5bf3d4",
"index": 8346,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nwith open('speaker_book.txt') as fin:\n for line in fin:\n elems = line.split('|')\n ID = elems[0].lstrip().strip()\n speaker = elems[1].lstrip().strip()\n ... | [
0,
1,
2,
3,
4
] |
import numpy as np
def layer_forward(x, w):
"""
input:
- inputs (x): (N, d_1, ..., d_k),
- weights (w): (D, M)
"""
# intermediate value (z)
z = None
output = []
cache = (x, w, z, output)
return output, cache
def layer_backward(d_output, cache):
""" Re... | normal | {
"blob_id": "c1fd6e940b3b15ae01a102b3c0aba9bd327c77b2",
"index": 8403,
"step-1": "<mask token>\n\n\ndef layer_forward(x, w):\n \"\"\"\n input:\n - inputs (x): (N, d_1, ..., d_k),\n - weights (w): (D, M)\n \"\"\"\n z = None\n output = []\n cache = x, w, z, output\n r... | [
4,
5,
6,
7,
8
] |
__author__ = "Prikly Grayp"
__license__ = "MIT"
__version__ = "1.0.0"
__email__ = "priklygrayp@gmail.com"
__status__ = "Development"
from contextlib import closing
class RefrigeratorRaider:
'''Raid a refrigerator'''
def open(self):
print('Open fridge door.')
def take(self, food):
print('... | normal | {
"blob_id": "7455eb670c2c019b8d066fcc6f2878a2136b7fd0",
"index": 5051,
"step-1": "<mask token>\n\n\nclass RefrigeratorRaider:\n \"\"\"Raid a refrigerator\"\"\"\n\n def open(self):\n print('Open fridge door.')\n\n def take(self, food):\n print('Finding {}...'.format(food))\n if food ... | [
6,
7,
8,
9,
10
] |
<|reserved_special_token_0|>
def valid_date(datestring):
""" Determine if something is a valid date """
try:
datetime.strptime(datestring, '%Y-%m-%d')
return True
except ValueError as e:
logger.info('not a valid date: ' + e)
return False
def portfolio_value_on_date(date):... | flexible | {
"blob_id": "0bc72a558b9bd3b5f74ce5dfce586dd66c579710",
"index": 5776,
"step-1": "<mask token>\n\n\ndef valid_date(datestring):\n \"\"\" Determine if something is a valid date \"\"\"\n try:\n datetime.strptime(datestring, '%Y-%m-%d')\n return True\n except ValueError as e:\n logger.... | [
4,
5,
6,
7,
8
] |
# coding=utf8
from __future__ import print_function
from application.controllers import *
from application.models import board
def __return__():
return render_template('board/board.html',
lecturers = board.Lecturer.query.all(), disciplines = board.Discipline.query.all())
def __return_modal__(id):
le... | normal | {
"blob_id": "f87c036c1eb5026e088bed62fbc330cfd2ea1952",
"index": 7500,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef __return_modal__(id):\n lecturer = board.Lecturer.query.get(id)\n print('esdasd' + lecturer.description)\n return render_template('board/modal.html', lecturer=lecturer)\n... | [
0,
1,
2,
3,
4
] |
from app.api import app
def main():
app.run(host='0.0.0.0', port=5001)
if __name__ == '__main__':
main()
| normal | {
"blob_id": "b49e5b40ce1e16f1b7c0bd9509daf94f36c51256",
"index": 6726,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef main():\n app.run(host='0.0.0.0', port=5001)\n\n\n<mask token>\n",
"step-3": "<mask token>\n\n\ndef main():\n app.run(host='0.0.0.0', port=5001)\n\n\nif __name__ == '__mai... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
print(num1)
<|reserved_special_token_1|>
<|reserved_special_token_0|>
num1 = random.randint(50, 151)
print(num1)
<|reserved_special_token_1|>
<|reserved_special_token_0|>
import random
num1 = random.randint(50, 151)
print(nu... | flexible | {
"blob_id": "7d3355ee775f759412308ab68a7aa409b9c74b20",
"index": 708,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(num1)\n",
"step-3": "<mask token>\nnum1 = random.randint(50, 151)\nprint(num1)\n",
"step-4": "<mask token>\nimport random\nnum1 = random.randint(50, 151)\nprint(num1)\n",
"step... | [
0,
1,
2,
3,
4
] |
import time
import os
import psutil
start = time.time()
from queue import Queue
from copy import copy
process = psutil.Process(os.getpid())
class Node:
object_id = 0
weight = 0
value = 0
def __init__(self,object_id,weight,value):
self.object_id=object_id
self.weight=weight
... | normal | {
"blob_id": "be408b349e2795101b525ad8d948dbf52cab81bf",
"index": 4281,
"step-1": "<mask token>\n\n\nclass Node:\n object_id = 0\n weight = 0\n value = 0\n\n def __init__(self, object_id, weight, value):\n self.object_id = object_id\n self.weight = weight\n self.value = value\n\n\... | [
4,
5,
7,
8,
9
] |
#!/usr/bin/python
# -*- coding:utf-8 -*-
################################################################
# 服务器程序
################################################################
import json
import time
import traceback
from flask import Flask, abort, render_template, redirect, send_from_directory, request, make_respon... | normal | {
"blob_id": "2c89f12d633da8da4d500dca910662d351b0958f",
"index": 4509,
"step-1": "#!/usr/bin/python\n# -*- coding:utf-8 -*-\n################################################################\n# 服务器程序\n################################################################\nimport json\nimport time\nimport traceback\nfro... | [
0
] |
def convertEnEntier(nombre):
result = "";
if (nombre == 4):
result = "IV"
if (nombre == 3):
result = "III"
if (nombre == 2):
result = "II"
if (nombre == 1):
result = "I"
return result
print (convertEnEntier(1))
print (convertEnEntier(2))
pri... | normal | {
"blob_id": "ef7fad5019e79950e8fad56404e9ba5d302cfe1c",
"index": 7596,
"step-1": "<mask token>\n",
"step-2": "def convertEnEntier(nombre):\n result = ''\n if nombre == 4:\n result = 'IV'\n if nombre == 3:\n result = 'III'\n if nombre == 2:\n result = 'II'\n if nombre == 1:\n... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
def isPrime(x):
if x == 1:
return False
for d in range(1, int(x ** 0.5)):
if x == d + 1:
continue
if x % (d + 1) == 0:
return False
else:
return True
<|reserved_special_token_0|>
<|reserv... | flexible | {
"blob_id": "37d465043eddd34c4453fd7e31b08d0ba58b725f",
"index": 4351,
"step-1": "<mask token>\n",
"step-2": "def isPrime(x):\n if x == 1:\n return False\n for d in range(1, int(x ** 0.5)):\n if x == d + 1:\n continue\n if x % (d + 1) == 0:\n return False\n e... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
class CotisationComputes:
@staticmethod
def current_year():
now = datetime.datetime.now()
if now.month > 8:
return now.year + 1
return now.year
@staticmethod
def registration_current_year():
now = datetime.datetime.now()
... | flexible | {
"blob_id": "d726e468a9df26f1bcb8a016812b87fad7b41aa8",
"index": 8089,
"step-1": "<mask token>\n\n\nclass CotisationComputes:\n\n @staticmethod\n def current_year():\n now = datetime.datetime.now()\n if now.month > 8:\n return now.year + 1\n return now.year\n\n @staticmet... | [
11,
12,
16,
17,
23
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
class Solution:
<|reserved_special_token_0|>
<|reserved_special_token_1|>
class Solution:
def findKthNumber(self, m: int, n: int, k: int) ->int:
return bisect_left(range(m * n), k, key=lambda x: x // n * n + sum(
x // i for i i... | flexible | {
"blob_id": "ec9efeca7eef7b8ee25c1e089e675bdb1e53413b",
"index": 417,
"step-1": "<mask token>\n",
"step-2": "class Solution:\n <mask token>\n",
"step-3": "class Solution:\n\n def findKthNumber(self, m: int, n: int, k: int) ->int:\n return bisect_left(range(m * n), k, key=lambda x: x // n * n + s... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
class DagRunnableReportingThread(StoppableThread, LoggingMixin):
def __init__(self, async_mode: bool, dag_file_processor_agent, mailbox:
Mailbox, *args, **kwargs):
super(DagRunnableReportingThread, self).__init__(*args, **kwargs)
self.setName('DagTrigger-DagRu... | flexible | {
"blob_id": "8e26a6b50539fa5f498aa2079a2625214e5b4d03",
"index": 5919,
"step-1": "<mask token>\n\n\nclass DagRunnableReportingThread(StoppableThread, LoggingMixin):\n\n def __init__(self, async_mode: bool, dag_file_processor_agent, mailbox:\n Mailbox, *args, **kwargs):\n super(DagRunnableReporti... | [
13,
19,
20,
22,
24
] |
<|reserved_special_token_0|>
def aggSumFn(path, grpByCol):
allFiles = glob.glob(path + '/*.csv')
for file_ in allFiles:
df = pd.read_csv(file_, index_col=None, header=0)
list_.append(df)
frame = pd.concat(list_)
frame[grpByCol] = pd.to_datetime(frame['day'], format='%Y-%m-%d')
fram... | flexible | {
"blob_id": "252d6b381af09dbafb1d10c188eb154e53213033",
"index": 8845,
"step-1": "<mask token>\n\n\ndef aggSumFn(path, grpByCol):\n allFiles = glob.glob(path + '/*.csv')\n for file_ in allFiles:\n df = pd.read_csv(file_, index_col=None, header=0)\n list_.append(df)\n frame = pd.concat(list... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
def build_response(session_attributes, speechlet_response):
"""
Build the full response JSON from the speechlet response
"""
return {'version': '1.0', 'sessionAttributes': session_attributes,
'response': speechlet_response}
def get_welcome_response():
welcome... | flexible | {
"blob_id": "237277e132c8223c6048be9b754516635ab720e2",
"index": 8964,
"step-1": "<mask token>\n\n\ndef build_response(session_attributes, speechlet_response):\n \"\"\"\n Build the full response JSON from the speechlet response\n \"\"\"\n return {'version': '1.0', 'sessionAttributes': session_attribu... | [
8,
11,
13,
14,
15
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
parser.add_argument('domain_name', metavar='D', type=str, nargs='+', help=
'domain name to give to virtual host. multiple domains can be specified at once'
)
<|reserved_special_token_0|>
print(
'The following virtual h... | flexible | {
"blob_id": "a8e67ddbb741af6a9ff7540fef8c21468321ede0",
"index": 7996,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nparser.add_argument('domain_name', metavar='D', type=str, nargs='+', help=\n 'domain name to give to virtual host. multiple domains can be specified at once'\n )\n<mask token>\nprin... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
for name in ('Manny', 'Moe', 'Jack'):
print('Hi ya', name + '!')
<|reserved_special_token_1|>
#!/usr/bin/env python3
""" Greets the Pep Boys.
"""
for name in "Manny", "Moe", "Jack":
print("Hi ya", name + '!')
| flexible | {
"blob_id": "81ff77064a299b4fcd456f341ecb40ba5afe3295",
"index": 1714,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor name in ('Manny', 'Moe', 'Jack'):\n print('Hi ya', name + '!')\n",
"step-3": "#!/usr/bin/env python3\n\"\"\" Greets the Pep Boys.\n\"\"\"\n\nfor name in \"Manny\", \"Moe\", \"Jac... | [
0,
1,
2
] |
<|reserved_special_token_0|>
def create_oauth_flow():
"""Prepare Google OAuth workflow from config file."""
app.flow = flow_from_clientsecrets(str(Path(app.config['ROOT_DIR'],
'configs/client_secrets.json')), scope=['email', 'profile'],
redirect_uri=url_for('auth.oauth2callback', _external=Tru... | flexible | {
"blob_id": "fe73a80b15cad025a33930ddd9abb31524cd0244",
"index": 9404,
"step-1": "<mask token>\n\n\ndef create_oauth_flow():\n \"\"\"Prepare Google OAuth workflow from config file.\"\"\"\n app.flow = flow_from_clientsecrets(str(Path(app.config['ROOT_DIR'],\n 'configs/client_secrets.json')), scope=['... | [
4,
5,
6,
7,
8
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
class Solution:
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_1|>
class Solution:
<|reserved_special_token_0|>
def detectCycle(self, head):
cycle_len = -1
one_node, two_node = head, head... | flexible | {
"blob_id": "3319614d154b16190f3cd8f4f65c3b0e0da277e9",
"index": 9751,
"step-1": "<mask token>\n",
"step-2": "class Solution:\n <mask token>\n <mask token>\n",
"step-3": "class Solution:\n <mask token>\n\n def detectCycle(self, head):\n cycle_len = -1\n one_node, two_node = head, he... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
def _set_webhook():
status = bot.set_webhook(WEBHOOK_URL)
if not status:
print('Webhook setup failed')
sys.exit(1)
else:
print('Your webhook URL has been set to "{}"'.format(WEBHOOK_URL))
@app.route('/hook', methods=['POST'])
def webhook_handler():
... | flexible | {
"blob_id": "984efa858e782777472d84aab85471616a05b0e0",
"index": 2886,
"step-1": "<mask token>\n\n\ndef _set_webhook():\n status = bot.set_webhook(WEBHOOK_URL)\n if not status:\n print('Webhook setup failed')\n sys.exit(1)\n else:\n print('Your webhook URL has been set to \"{}\"'.fo... | [
3,
4,
5,
6,
7
] |
import random
from PyQt4.QtGui import (
QWidget, QHBoxLayout, QPushButton, QMainWindow, QIcon, QAction, QShortcut,
QKeySequence, QFileDialog, QMessageBox)
from PyQt4 import QtCore
class Controls(QWidget):
def __init__(self, parent):
super(Controls, self).__init__(parent)
... | normal | {
"blob_id": "4e86dd74374297c3b0ce8fea93910003dac7d5d7",
"index": 8742,
"step-1": "<mask token>\n\n\nclass MainWindow(QMainWindow):\n playSong = QtCore.pyqtSignal(str)\n\n def __init__(self, music_dir):\n super(MainWindow, self).__init__()\n self.__music_dir = music_dir\n self.resize(40... | [
4,
5,
6,
7,
8
] |
#!/usr/bin/python
# -*- coding: utf-8 -*-
# Python version 3.8.5
#
# Author Maria Catharina van Veen
#
# Purpose To provide users with a tool to create
# or edit an html file.
#
# Tested OS This code was written and tested to
# work with Windows 10.
... | normal | {
"blob_id": "63e5ead200fb2884d93f19e7d9b8dc76c7f4f0e3",
"index": 4611,
"step-1": "<mask token>\n\n\nclass MainWindow(Frame):\n <mask token>\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\nclass MainWindow(Frame):\n\n def __init__(self, root):\n Frame.__init__(self, root)\n self.root = ro... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
from .most_serializers import *
| flexible | {
"blob_id": "a718949ed95b7d78f091b1e0f237eed151b102ae",
"index": 2160,
"step-1": "<mask token>\n",
"step-2": "from .most_serializers import *\n",
"step-3": null,
"step-4": null,
"step-5": null,
"step-ids": [
0,
1
]
} | [
0,
1
] |
import sys
from melody_types import *
import dataclasses
"""
Marks notes for grace notes
"""
# Mark grace notes on the peak note of every segment
def _peaks(song):
for phrase in song.phrases:
for pe in phrase.phrase_elements:
if type(pe) == Segment:
if pe.direction != SegmentDir... | normal | {
"blob_id": "ac83d7d39319c08c35302abfb312ebee463b75b2",
"index": 5130,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef _insert_grace_notes(song):\n for phrase in song.phrases:\n for pe in phrase.phrase_elements:\n if type(pe) != Segment:\n continue\n ... | [
0,
1,
3,
4,
6
] |
#!/usr/bin/python
# -*-coding:utf-8 -*-
import smtplib
import MySQLdb
import datetime
import types
def sendEmail(sender,passwd,host,port,receivers,date,mail) :
message = MIMEText(mail, 'html', 'utf-8')
message['From'] = Header("告警发送者<"+sender+">", 'utf-8')
subject = str(date) + '服务器告警通知'
message['Subjec... | normal | {
"blob_id": "221a75d37fbb49e8508fc786ee8e6e90b19e12c0",
"index": 4683,
"step-1": "#!/usr/bin/python\n# -*-coding:utf-8 -*-\nimport smtplib\nimport MySQLdb\nimport datetime\nimport types\ndef sendEmail(sender,passwd,host,port,receivers,date,mail) :\n message = MIMEText(mail, 'html', 'utf-8')\n message['From... | [
0
] |
<|reserved_special_token_0|>
class DateTimeField(Field):
<|reserved_special_token_0|>
def process_formdata(self, values):
if values:
value = values[0].strip()
if value == '':
self.data = self.default if self.empty_to_default else ''
else:
... | flexible | {
"blob_id": "72b29764f584c7f824eaa63ab0fdb1839a8d9102",
"index": 8166,
"step-1": "<mask token>\n\n\nclass DateTimeField(Field):\n <mask token>\n\n def process_formdata(self, values):\n if values:\n value = values[0].strip()\n if value == '':\n self.data = self.de... | [
19,
21,
23,
30,
34
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
with open(MODEL_LABELS_FILENAME, 'rb') as f:
lb = pickle.load(f)
<|reserved_special_token_0|>
for root, dirs, files in os.walk(CAPTCHA_IMAGE_FOLDER):
for name in tqdm(files, desc='Solving captchas'):
kernel = 5, 5
... | flexible | {
"blob_id": "c2ddf31bce4a5f3ae2b0d5455bbc9942f92bff40",
"index": 275,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nwith open(MODEL_LABELS_FILENAME, 'rb') as f:\n lb = pickle.load(f)\n<mask token>\nfor root, dirs, files in os.walk(CAPTCHA_IMAGE_FOLDER):\n for name in tqdm(files, desc='Solving capt... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
def final_frequency():
frequency = 0
with open('input') as f:
for line in f:
frequency += int(line)
return frequency
<|reserved_special_token_0|>
<|reserved_special_token_1|>
def final_frequency():
frequency = 0
wi... | flexible | {
"blob_id": "4d68b663933070cb287689b70d6ded07958cef22",
"index": 3047,
"step-1": "<mask token>\n",
"step-2": "def final_frequency():\n frequency = 0\n with open('input') as f:\n for line in f:\n frequency += int(line)\n return frequency\n\n\n<mask token>\n",
"step-3": "def final_fr... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
logging.basicConfig(level=logging.INFO)
<|reserved_special_token_0|>
@dp.message_handler(commands=['start', 'help'])
async def send_welcome(message: types.Message):
await message.reply(
"""Портал Государственных услу... | flexible | {
"blob_id": "4193fa992d06890afb660c072842cf1b85a43774",
"index": 3207,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nlogging.basicConfig(level=logging.INFO)\n<mask token>\n\n\n@dp.message_handler(commands=['start', 'help'])\nasync def send_welcome(message: types.Message):\n await message.reply(\n ... | [
0,
1,
2,
3,
4
] |
import inspect
import json
import os
import re
import urllib.request
from functools import wraps
from ..errors import NotFoundError
class API:
def __init__(self, base_url, version=1):
self.BASE = base_url or 'https://api.starlist.pro/v{}'.format(version)
self.PROFILE = self.BASE + '/player'
... | normal | {
"blob_id": "3f3db7e8813f49fe0265e110236b6dc4fed6cd1b",
"index": 7214,
"step-1": "<mask token>\n\n\nclass API:\n\n def __init__(self, base_url, version=1):\n self.BASE = base_url or 'https://api.starlist.pro/v{}'.format(version)\n self.PROFILE = self.BASE + '/player'\n self.CLUB = self.BA... | [
2,
3,
4,
5,
6
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
reload(sys)
sys.setdefaultencoding('utf-8')
<|reserved_special_token_0|>
for l in root.iter('l'):
file.write(''.join(l.itertext()) + '\n')
file.close()
<|reserved_special_token_1|>
<|reserved_special_token_0|>
reload(sys)
s... | flexible | {
"blob_id": "cfea7848dfb41c913e5d8fec2f0f4f8afaaa09f3",
"index": 5928,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nreload(sys)\nsys.setdefaultencoding('utf-8')\n<mask token>\nfor l in root.iter('l'):\n file.write(''.join(l.itertext()) + '\\n')\nfile.close()\n",
"step-3": "<mask token>\nreload(sys... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
class QNetwork:
<|reserved_special_token_0|>
def __init__(self, state_dim: int, action_dim: int=3,
hidden_layer_sizes: List=[128, 256, 256, 128], activation: str='relu'):
self._state_dim = state_dim
self._action_dim = action_dim
self._hidden_layer_... | flexible | {
"blob_id": "a3e655350fb5fe7999bea4a87fb62c7698fb63f1",
"index": 6663,
"step-1": "<mask token>\n\n\nclass QNetwork:\n <mask token>\n\n def __init__(self, state_dim: int, action_dim: int=3,\n hidden_layer_sizes: List=[128, 256, 256, 128], activation: str='relu'):\n self._state_dim = state_dim\... | [
2,
3,
4,
5,
6
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
db = {'host': 'localhost', 'user': 'root', 'passwd': 'm74e71', 'database':
'dw_toner'}
data_inicial = '1990-01-01'
ano_final = 2018
feriados = 'feriados.csv'
meses_de_ferias = 1, 2, 7, 12
dias_final_semana = 1, 6, 7
<|reserved_special_token_1|>
#!/usr/... | flexible | {
"blob_id": "360881cecbad88ea5d150548fba6a39d8dc30681",
"index": 8598,
"step-1": "<mask token>\n",
"step-2": "db = {'host': 'localhost', 'user': 'root', 'passwd': 'm74e71', 'database':\n 'dw_toner'}\ndata_inicial = '1990-01-01'\nano_final = 2018\nferiados = 'feriados.csv'\nmeses_de_ferias = 1, 2, 7, 12\ndia... | [
0,
1,
2
] |
""" quiz materials for feature scaling clustering """
# FYI, the most straightforward implementation might
# throw a divide-by-zero error, if the min and max
# values are the same
# but think about this for a second--that means that every
# data point has the same value for that feature!
# why would you rescale it? O... | normal | {
"blob_id": "6a6a7cc6d4f601f4461488d02e03e832bc7ab634",
"index": 2928,
"step-1": "\"\"\" quiz materials for feature scaling clustering \"\"\"\n\n# FYI, the most straightforward implementation might\n# throw a divide-by-zero error, if the min and max\n# values are the same\n# but think about this for a second--th... | [
0
] |
import numpy as np
import random
with open("./roc.txt", "r") as fin:
with open("./roc_shuffle.txt", "w") as fout:
tmp = []
for k, line in enumerate(fin):
i = k + 1
if i % 6 == 0:
idx = [0] + np.random.permutation(range(1,5)).tolist()
for sen i... | normal | {
"blob_id": "2aec0581413d4fb0ffb4090231fde0fed974bf18",
"index": 27,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nwith open('./roc.txt', 'r') as fin:\n with open('./roc_shuffle.txt', 'w') as fout:\n tmp = []\n for k, line in enumerate(fin):\n i = k + 1\n if i % 6 ... | [
0,
1,
2,
3
] |
from graph import Graph
import ast
import itertools
def add_nodes(g):
nodes = ['a', 'b', 'c', 'd']
for n in nodes:
g.add_node(n)
def add_desc(g):
desc = [('b', 'a'), ('b', 'c'), ('d', 'c')]
for d in desc:
g.add_desc(d)
def add_edges(g):
edges = [('b', 'a'), ('b', 'c'), ('d', '... | normal | {
"blob_id": "8efee4ad16e938e85a500e5aebf5154b5708b277",
"index": 9287,
"step-1": "<mask token>\n\n\ndef add_nodes(g):\n nodes = ['a', 'b', 'c', 'd']\n for n in nodes:\n g.add_node(n)\n\n\ndef add_desc(g):\n desc = [('b', 'a'), ('b', 'c'), ('d', 'c')]\n for d in desc:\n g.add_desc(d)\n\n... | [
4,
6,
7,
8,
9
] |
# -*- coding: utf-8 -*-
"""
Created on Fri Jul 3 18:27:30 2020
@author: PREET MODH
"""
for _ in range(int(input())):
n=int(input())
xco,yco=[],[]
flagx,flagy,xans,yans=1,1,0,0
for x in range(4*n-1):
x,y=input().split()
xco.append(int(x))
yco.append(int(y))
... | normal | {
"blob_id": "d3b0a1d8b9f800c5d34732f4701ea2183405e5b4",
"index": 9523,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor _ in range(int(input())):\n n = int(input())\n xco, yco = [], []\n flagx, flagy, xans, yans = 1, 1, 0, 0\n for x in range(4 * n - 1):\n x, y = input().split()\n ... | [
0,
1,
2
] |
<|reserved_special_token_0|>
class tax(osv.Model):
<|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 tax(osv.Model):
_inherit = 'sgr.tax'
def send_alerts(self, ... | flexible | {
"blob_id": "1ddec426e4ad50f1d0e8a57ed841fbdf8c51b00f",
"index": 9871,
"step-1": "<mask token>\n\n\nclass tax(osv.Model):\n <mask token>\n <mask token>\n <mask token>\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\nclass tax(osv.Model):\n _inherit = 'sgr.tax'\n\n def send_alerts(self, cr, uid... | [
1,
5,
6,
7,
8
] |
<|reserved_special_token_0|>
class User(MBase):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
class UserTimeLine(MBase):
"""
POSTs that user will see in their timeline
"""
user_id =... | flexible | {
"blob_id": "9cb734f67d5149b052ff1d412d446aea1654fa69",
"index": 9543,
"step-1": "<mask token>\n\n\nclass User(MBase):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n\nclass UserTimeLine(MBase):\n \"\"\"\n POSTs that user will see in their timeline\n \"\"\"\... | [
30,
32,
35,
37,
41
] |
<|reserved_special_token_0|>
class model_objectdetection_ppm_centernet_v1:
<|reserved_special_token_0|>
def _build_net(self):
self.learning_rate_tensor = tf.compat.v1.placeholder(tf.float32,
shape=[], name='learning_rate')
print(self.learning_rate_tensor)
self.X = tf.compa... | flexible | {
"blob_id": "e24a62f2a3ff0122922f472a7b37f1773dfe9c11",
"index": 7605,
"step-1": "<mask token>\n\n\nclass model_objectdetection_ppm_centernet_v1:\n <mask token>\n\n def _build_net(self):\n self.learning_rate_tensor = tf.compat.v1.placeholder(tf.float32,\n shape=[], name='learning_rate')\n... | [
4,
5,
6,
7,
8
] |
<|reserved_special_token_0|>
def decrypt_string(password_string, need_return=False):
if not is_number(VERSION):
raise ValueError('Invalid argument: --Version')
ver = float(VERSION)
Cipher = ARC4.new(getCipherKey())
try:
if ver < 5.1:
de_password = Cipher.decrypt(b64decode(p... | flexible | {
"blob_id": "5f2427c077d460d109f5a3e94b93f72c090f036d",
"index": 7181,
"step-1": "<mask token>\n\n\ndef decrypt_string(password_string, need_return=False):\n if not is_number(VERSION):\n raise ValueError('Invalid argument: --Version')\n ver = float(VERSION)\n Cipher = ARC4.new(getCipherKey())\n ... | [
5,
8,
9,
10,
11
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
random.shuffle(lista)
print('A ordem de apresentacao será')
print(lista)
<|reserved_special_token_1|>
<|reserved_special_token_0|>
a1 = input('Primeiro aluno: ')
a2 = input('Primeiro segundo: ')
a3 = input('Primeiro terceiro: '... | flexible | {
"blob_id": "9a0e24fbe9f51dc914d891e90196c2ff4e65f04a",
"index": 9652,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nrandom.shuffle(lista)\nprint('A ordem de apresentacao será')\nprint(lista)\n",
"step-3": "<mask token>\na1 = input('Primeiro aluno: ')\na2 = input('Primeiro segundo: ')\na3 = input('Pri... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
def plot_img():
"""
plot ground truth (left) and reconstruction (right)
showing b/w image data of mnist
"""
plt.subplot(121)
plt.imshow(data.data.numpy()[0,].squeeze())
plt.subplot(122)
plt.imshow(dec_mean.view(-1, 28, 28).data.numpy()[0,].squeeze())
p... | flexible | {
"blob_id": "cca9d91fe20e58f233ccfc4100edb748356ed234",
"index": 6311,
"step-1": "<mask token>\n\n\ndef plot_img():\n \"\"\" \n plot ground truth (left) and reconstruction (right)\n showing b/w image data of mnist\n \"\"\"\n plt.subplot(121)\n plt.imshow(data.data.numpy()[0,].squeeze())\n pl... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
ax.set_xticks(x + width / 2)
ax.set_xticklabels(x_axis)
plt.legend((p_rf[0], p_anns[0], p_adaboost[0]), ('RF', 'ANNs', 'AdaBoost'),
loc='best', fontsize=20)
plt.xticks(fontsize=18)
plt.yticks(fontsize=18)
plt.ylim(150, 200)
pl... | flexible | {
"blob_id": "13342922022f0a0e8928c81c1c4716125af0b2c4",
"index": 418,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nax.set_xticks(x + width / 2)\nax.set_xticklabels(x_axis)\nplt.legend((p_rf[0], p_anns[0], p_adaboost[0]), ('RF', 'ANNs', 'AdaBoost'),\n loc='best', fontsize=20)\nplt.xticks(fontsize=18)... | [
0,
1,
2,
3,
4
] |
import datetime,os
def GetDatetimeFromMyFormat(l):
# l = "2018-5-17 19:18:45"
l_words = l.split()
l_days = l_words[0].split('-')
l_times = l_words[1].split(':')
out = datetime.datetime(int(l_days[0]),int(l_days[1]),int(l_days[2]),int(l_times[0]),int(l_times[1]),int(l_times[2]))
return out
| normal | {
"blob_id": "6767302869d73d041e2d7061722e05484d19f3e0",
"index": 4752,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef GetDatetimeFromMyFormat(l):\n l_words = l.split()\n l_days = l_words[0].split('-')\n l_times = l_words[1].split(':')\n out = datetime.datetime(int(l_days[0]), int(l_da... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
class SelectSubsDialog(QDialog):
<|reserved_special_token_0|>
def enable_save_buttons(self):
self.confirm_button.setEnabled(True)
self.save_as_set_button.setEnabled(True)
def get_substituents(self):
self.substituents = list(dict.fromkeys([item.text() ... | flexible | {
"blob_id": "849db3a92e0544661dd465b3e7f6949f8de5633b",
"index": 5099,
"step-1": "<mask token>\n\n\nclass SelectSubsDialog(QDialog):\n <mask token>\n\n def enable_save_buttons(self):\n self.confirm_button.setEnabled(True)\n self.save_as_set_button.setEnabled(True)\n\n def get_substituents(... | [
7,
8,
9,
11,
12
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
if len(dr_items):
with open('calls.csv', 'w', encoding='UTF8') as csv_file:
csv_writer = csv.writer(csv_file)
csv_header = ['dr_sid', 'date_start', 'number_src', 'number_dst',
'direction', 'duration... | flexible | {
"blob_id": "8262d8b5bbb156eccae021c1c9333d3cd1a6260f",
"index": 9030,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nif len(dr_items):\n with open('calls.csv', 'w', encoding='UTF8') as csv_file:\n csv_writer = csv.writer(csv_file)\n csv_header = ['dr_sid', 'date_start', 'number_src', 'n... | [
0,
1,
2,
3
] |
from django.db import models
# Create your models here.
class Remedio(models.Model):
nome = models.CharField(max_length=100, unique=True, help_text='Nome')
valor = models.FloatField(null=False, help_text='Valor')
detalhe = models.CharField(max_length=500, null=True)
foto = models.ImageField(upload_to='... | normal | {
"blob_id": "07cce6802ab3259dbc78ab86a8dd6d6a4a617c7e",
"index": 5242,
"step-1": "<mask token>\n\n\nclass Remedio(models.Model):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass Remedio(models.Model):\n <mask token>\n <mask t... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
class PillListView(ListView):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
class PillDetailView(DetailView):
model = Pills
templ... | flexible | {
"blob_id": "3c193decc4a1f284de953003fbba434d6e798b24",
"index": 2827,
"step-1": "<mask token>\n\n\nclass PillListView(ListView):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n\n<mask token>\n\n\nclass PillDetailView(DetailView):\n model = Pills\n template_nam... | [
3,
6,
8,
9,
11
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
@decorator
def coroutine(f, *a, **kw):
"""This decorator starts the coroutine for us."""
i = f(*a, **kw)
i.next()
return i
<|reserved_special_token_1|>
<|reserved_special_token_0|>
from decorator import decora... | flexible | {
"blob_id": "6bde0ce30f33b155cc4c9ce9aa2ea6a6c5a1231d",
"index": 5472,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\n@decorator\ndef coroutine(f, *a, **kw):\n \"\"\"This decorator starts the coroutine for us.\"\"\"\n i = f(*a, **kw)\n i.next()\n return i\n",
"step-3": "<mask token>\nfr... | [
0,
1,
2,
3
] |
from django.contrib import admin
from lesson.models import ProgrammingEnvironment, Language, Lesson, LessonHint
# list_display - Show these fields for each model on the Admin site
# search_fields - Allow searching in these fields
# Register models for the Admin site
class ProgrammingEnvironmentAdmin(admin.ModelAdmin)... | normal | {
"blob_id": "2500c3562819e4e85ce3cbc30e0ddf1b8437e0a2",
"index": 6448,
"step-1": "<mask token>\n\n\nclass LanguageAdmin(admin.ModelAdmin):\n <mask token>\n list_display = 'language_name', 'description', 'environment'\n filter_horizontal = ()\n list_filter = ()\n fieldsets = ()\n\n\nclass LessonAdm... | [
8,
9,
12,
14,
15
] |
from .base import paw_test
class warning_test(paw_test):
def test_warning_badchars(self):
self.paw.cset_lookup(self.badchar)
self.assertEqual(1, self.paw.wcount)
| normal | {
"blob_id": "b4c6075aabe833f6fe23471f608d928edd25ef63",
"index": 372,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass warning_test(paw_test):\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass warning_test(paw_test):\n\n def test_warning_badchars(self):\n self.paw.cset_lookup(s... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
class Jav_ink:
def __init__(self):
self.parser_name = 'jav_ink'
self.domain = 'https://www.jav.ink'
self.album_flag = {}
<|reserved_special_token_0|>
def album2photos(self, album_url, album_html):
photos = []
album_id = album_html.xpat... | flexible | {
"blob_id": "9fff345dedcfc7051a258bc471acf07aece95bcf",
"index": 9319,
"step-1": "<mask token>\n\n\nclass Jav_ink:\n\n def __init__(self):\n self.parser_name = 'jav_ink'\n self.domain = 'https://www.jav.ink'\n self.album_flag = {}\n <mask token>\n\n def album2photos(self, album_url,... | [
3,
4,
5,
6,
7
] |
# -*- coding: utf-8 -*-
# @Author: Lich_Amnesia
# @Email: alwaysxiaop@gmail.com
# @Date: 2016-11-17 11:00:33
# @Last Modified time: 2016-11-17 11:00:34
# @FileName: 346.py
class MovingAverage(object):
def __init__(self, size):
"""
Initialize your data structure here.
:type size: int
... | normal | {
"blob_id": "9e37b728d8045726aef7625fccc14111ecb0e1c8",
"index": 5578,
"step-1": "<mask token>\n",
"step-2": "class MovingAverage(object):\n <mask token>\n <mask token>\n",
"step-3": "class MovingAverage(object):\n\n def __init__(self, size):\n \"\"\"\n Initialize your data structure h... | [
0,
1,
2,
3,
4
] |
# Find sum/count of Prime digits in a number | normal | {
"blob_id": "75217256d88c32ed1c502bc104c30092bf74382d",
"index": 9791,
"step-1": "# Find sum/count of Prime digits in a number",
"step-2": null,
"step-3": null,
"step-4": null,
"step-5": null,
"step-ids": [
1
]
} | [
1
] |
from keras.models import *
from keras.layers import *
from keras.optimizers import *
from keras.callbacks import ModelCheckpoint, LearningRateScheduler
from keras import backend as keras
unet_feature_n = 512
unet_feature_nstep_size = 1e-4
unet_input_image_size = 128
def unet(pretrained_weights=None, input_size=(unet_... | normal | {
"blob_id": "b8d45a0028cb4e393ddca9dd6d246289328d1791",
"index": 4044,
"step-1": "<mask token>\n\n\ndef small_unet(pretrained_weights=False, patch_size=128):\n input_ = Input((patch_size, patch_size, 1))\n skips = []\n output = input_\n for shape, filters in zip([5, 3, 3, 3, 3, 3, 3], [16, 32, 64, 64... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
for row in range(7):
for col in range(5):
if col == 0 or row % 3 == 0:
print('*', end=' ')
else:
print(' ', end=' ')
print()
<|reserved_special_token_1|>
for row in range(7):
for col in range(5):
... | flexible | {
"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
] |
<|reserved_special_token_0|>
def book_add(request):
if request.user.is_authenticated:
context = {}
if request.method == 'GET':
form = BookCreateModelForm()
context['form'] = form
return render(request, 'addbook.html', context)
elif request.method == 'POS... | flexible | {
"blob_id": "aba2a0a262c14f286c278f21ba42871410c174f0",
"index": 953,
"step-1": "<mask token>\n\n\ndef book_add(request):\n if request.user.is_authenticated:\n context = {}\n if request.method == 'GET':\n form = BookCreateModelForm()\n context['form'] = form\n re... | [
4,
6,
7,
8,
10
] |
from itertools import takewhile
import numpy as np
from .rrt import TreeNode
from .trajectory.linear import get_default_limits, solve_linear
from .trajectory.retime import spline_duration
from .utils import argmin, negate, circular_difference, UNBOUNDED_LIMITS, get_distance, get_delta
ASYMETRIC = True
def asymmetr... | normal | {
"blob_id": "84febcc599aa97858ded3b6f803b6b76960878d4",
"index": 7188,
"step-1": "<mask token>\n\n\ndef asymmetric_extend(q1, q2, extend_fn, backward=False):\n if backward and ASYMETRIC:\n return reversed(list(extend_fn(q2, q1)))\n return extend_fn(q1, q2)\n\n\n<mask token>\n\n\ndef calculate_radius... | [
7,
8,
10,
12,
13
] |
from __future__ import absolute_import
from talin.quotations import register_xpath_extensions
def init():
register_xpath_extensions()
| normal | {
"blob_id": "c218428908c28a8c65bd72e66dcddaf7db1909d7",
"index": 4325,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef init():\n register_xpath_extensions()\n",
"step-3": "from __future__ import absolute_import\nfrom talin.quotations import register_xpath_extensions\n\n\ndef init():\n regi... | [
0,
1,
2
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
default_app_config = 'assistant.additionalpage.apps.AdditionalPageAppConfig'
<|reserved_special_token_1|>
default_app_config = "assistant.additionalpage.apps.AdditionalPageAppConfig"
| flexible | {
"blob_id": "0e2c71ab4f194af3c2ee65c2cbd6f36921eb587e",
"index": 2079,
"step-1": "<mask token>\n",
"step-2": "default_app_config = 'assistant.additionalpage.apps.AdditionalPageAppConfig'\n",
"step-3": "default_app_config = \"assistant.additionalpage.apps.AdditionalPageAppConfig\"\n",
"step-4": null,
"ste... | [
0,
1,
2
] |
import pyttsx
engine = pyttsx.init()
rate = engine.getProperty('rate')
engine.setProperty('rate', rate-55)
engine.say('Hello , whats your name ?');
engine.say('I am mr. robot. What news would you like to listen to today ?');
#engine.say('Sally sells seashells by the seashore.')
#engine.say('Sally sells seashells by the... | normal | {
"blob_id": "d638194a37dc503b7dfb5410abf264be67c3a4f0",
"index": 4126,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nengine.setProperty('rate', rate - 55)\nengine.say('Hello , whats your name ?')\nengine.say('I am mr. robot. What news would you like to listen to today ?')\nengine.runAndWait()\n",
"ste... | [
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_1|>
<|reserved_special_token_0|>
class Migration(migrations.Migration):
dependencies = [(... | flexible | {
"blob_id": "d46cda5354640e1c87432d39a2e949d6db034edc",
"index": 6413,
"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 = [('rate', '000... | [
0,
1,
2,
3,
4
] |
# Generated by Django 3.1.1 on 2021-03-25 14:42
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = []
operations = [
migrations.CreateModel(
name="Experiment",
fields=[
... | normal | {
"blob_id": "b308d81fb8eab9f52aa0ad4f88e25d6757ef703a",
"index": 1761,
"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
] |
# Generated by Django 3.2.5 on 2021-08-05 23:59
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('lectures', '0003_auto_20210805_1954'),
]
operations = [
migrations.RenameField(
model_name='lecture',
old_name='is_requird',... | normal | {
"blob_id": "e5bf4518f3834c73c3743d4c711a8d1a4ce3b944",
"index": 6788,
"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 = [('lectures', ... | [
0,
1,
2,
3,
4
] |
#YET TO COMMENT.
import numpy as np
from functools import reduce
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... | normal | {
"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
] |
from .hailjwt import JWTClient, get_domain, authenticated_users_only
__all__ = ['JWTClient', 'get_domain', 'authenticated_users_only']
| normal | {
"blob_id": "39fb8d9f93be1e6c1ed2a425d14061737d643ab6",
"index": 9330,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n__all__ = ['JWTClient', 'get_domain', 'authenticated_users_only']\n",
"step-3": "from .hailjwt import JWTClient, get_domain, authenticated_users_only\n__all__ = ['JWTClient', 'get_domai... | [
0,
1,
2
] |
import numpy as np
from django.contrib.auth import logout, login, authenticate
from django.contrib.auth.decorators import login_required
from django.core.mail import EmailMessage
from django.shortcuts import render, redirect
from django.template.loader import get_template
from dashboard.notebook.creditcard import cred... | normal | {
"blob_id": "26bb5dc2679a4375d0950667ed02369df10857a8",
"index": 8410,
"step-1": "<mask token>\n\n\ndef contact(request):\n form_class = ContactForm\n if request.method == 'POST':\n form = form_class(data=request.POST)\n if form.is_valid():\n contact_name = request.POST.get('contac... | [
7,
9,
11,
14,
16
] |
from nintendo.nex import backend, authentication, friends, matchmaking, common
from nintendo.account import AccountAPI
from nintendo.games import MK8, Friends
import struct
import logging
logging.basicConfig(level=logging.INFO)
#Device id can be retrieved with a call to MCP_GetDeviceId on the Wii U
#Serial number ca... | normal | {
"blob_id": "43315abf9e096cdca89ed7f4de976d2706ff9c20",
"index": 9234,
"step-1": "<mask token>\n\n\ndef backend_login(title, use_auth_info, use_login_data, settings=None):\n api.set_title(title.TITLE_ID_EUR, title.LATEST_VERSION)\n nex_token = api.get_nex_token(title.GAME_SERVER_ID)\n auth_info = None\n... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
def boxplot(values):
"""Calculate percentiles needed for a boxplot."""
percentiles = percentile(values, [0, 25, 50, 75, 100])
result = {'min_val': percentiles[0], 'q1_val': percentiles[1],
'mean_val': percentiles[2], 'q3_val': percentiles[3], 'max_val':
percent... | flexible | {
"blob_id": "3472dc0c9d00c10ab0690c052e70fbf6a4bdb13d",
"index": 7889,
"step-1": "<mask token>\n\n\ndef boxplot(values):\n \"\"\"Calculate percentiles needed for a boxplot.\"\"\"\n percentiles = percentile(values, [0, 25, 50, 75, 100])\n result = {'min_val': percentiles[0], 'q1_val': percentiles[1],\n ... | [
4,
6,
7,
8,
9
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
TOTAL = 1306336
ONE = {'0': 1473, '1': 5936, '2': 3681, '3': 2996, '4': 2480, '5': 2494,
'6': 1324, '7': 1474, '8': 1754, '9': 1740, 'a': 79714, 'b': 83472, 'c':
78015, 'd': 61702, 'e': 42190, 'f': 68530, 'g': 48942, 'h': 63661, 'i':
34947, 'j': 2... | flexible | {
"blob_id": "f254f93193a7cb7ed2e55e4481ed85821cafcd7b",
"index": 4339,
"step-1": "<mask token>\n",
"step-2": "TOTAL = 1306336\nONE = {'0': 1473, '1': 5936, '2': 3681, '3': 2996, '4': 2480, '5': 2494,\n '6': 1324, '7': 1474, '8': 1754, '9': 1740, 'a': 79714, 'b': 83472, 'c':\n 78015, 'd': 61702, 'e': 4219... | [
0,
1,
2
] |
# -------------------------------------------
# Created by: jasper
# Date: 11/24/19
# --------------------------------------------
from os import path, mkdir
class IOHandler:
def __init__(self, directory, fName, data_instance):
"""Save the setup of a class instance or... | normal | {
"blob_id": "267276eab470b5216a2102f3e7616f7aecadcfe9",
"index": 9428,
"step-1": "<mask token>\n\n\nclass IOHandler:\n <mask token>\n\n def dump_data(self):\n \"\"\"save the data contained in data_instance, checking whether the\n directories already exist and asking whether to create them if ... | [
3,
4,
5,
6,
7
] |
#! /user/bin/env python
import requests
from getpass import getpass
import csv
# Set up the variables
with open("ACI PostMan Variable Values.csv", encoding='utf-8-sig') as csvfile:
reader = csv.DictReader(csvfile)
for row in reader:
print(row)
print("Let's configure the subnets... | normal | {
"blob_id": "bdc9856bfc61127d6bca31658b1faf3da09f5b86",
"index": 161,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nwith open('ACI PostMan Variable Values.csv', encoding='utf-8-sig') as csvfile:\n reader = csv.DictReader(csvfile)\n for row in reader:\n print(row)\nprint(\"Let's configure th... | [
0,
1,
2,
3,
4
] |
import requests
import logging
import json
class Handler(object):
def __init__(self):
"""
This class is used to handle interaction towards coffee interface.
"""
super(Handler, self).__init__()
logging.warning('Initializing coffeeHandler....')
# get an active token ... | normal | {
"blob_id": "00228facd19c72bebd9afbbe52597e390233d41e",
"index": 5822,
"step-1": "<mask token>\n\n\nclass Handler(object):\n <mask token>\n\n def get_rsp_from_url(self, url, params=None, method='get', data=None):\n logging.warning(\n 'when using method {}, header is:\\n {} \\n data is: \\... | [
4,
6,
8,
9,
10
] |
from collections import OrderedDict
import tcod.event
from components import Entity, PaperDoll, Brain
from components.enums import Intention
from engine import GameScene
from scenes.list_menu_scene import MenuAction, ListMenuScene
from systems.utilities import set_intention, retract_intention
def run(scene: GameS... | normal | {
"blob_id": "f1547e0893ce9c4661b546e49f3fc998745390d9",
"index": 4397,
"step-1": "<mask token>\n\n\ndef get_slots_query(scene: GameScene, entity: int):\n \"\"\"Return a query that resolves to entity's equipment slots and their equipped items.\"\"\"\n\n def query():\n paper_doll: PaperDoll = scene.cm... | [
2,
3,
4,
5,
6
] |
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