code stringlengths 13 6.09M | order_type stringclasses 2
values | original_example dict | step_ids listlengths 1 5 |
|---|---|---|---|
from django.urls import path, re_path
from .views import *
app_name = 'articles'
urlpatterns = [
path('',articles_list,name='list'),
path('create', create_article, name='create'),
path('<slug:slug>', article_detail,name='detail'),
] | normal | {
"blob_id": "1c222f42c5c0178f97391f1bdc60bba110f3d118",
"index": 9866,
"step-1": "<mask token>\n",
"step-2": "<mask token>\napp_name = 'articles'\nurlpatterns = [path('', articles_list, name='list'), path('create',\n create_article, name='create'), path('<slug:slug>', article_detail,\n name='detail')]\n"... | [
0,
1,
2,
3
] |
import numpy as np
from datetime import date, timedelta, datetime
from pytz import timezone
import store
import psycopg2
import requests
import os
import filters
FIRST = 4
def prepareDate():
pc_tz = timezone('US/Pacific')
n = datetime.now(pc_tz)
nd = n.date()
store.updateStore(today=nd)
def getData():
toda... | normal | {
"blob_id": "5b4651f37cdcbb13f8ddd03327ef65af0f9cf61d",
"index": 1944,
"step-1": "<mask token>\n\n\ndef getDates():\n dates = store.mapStore('dates')\n data = store.mapStore('data')\n exceptions = store.mapStore('exceptions')\n if len(exceptions) > 0:\n return False\n try:\n d0 = dat... | [
3,
4,
6,
7,
8
] |
x, y = [float(x) for x in raw_input().split(" ")]
print(x*y) | normal | {
"blob_id": "1ed7fb0dd5f0fa5e60c855eceaaf3259092918ef",
"index": 1240,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(x * y)\n",
"step-3": "x, y = [float(x) for x in raw_input().split(' ')]\nprint(x * y)\n",
"step-4": "x, y = [float(x) for x in raw_input().split(\" \")]\nprint(x*y)",
"step-5"... | [
0,
1,
2,
3
] |
from db_upgrader.Repositories.store import Store, StoreException
from db_upgrader.Models.product import *
class ProductStore(Store):
table = 'product'
def add_product(self, product):
try:
c = self.conn.cursor()
c.execute(
'INSERT INTO product (`name`,customerId... | normal | {
"blob_id": "963499e071873083dc942486b9a5b094393cd99e",
"index": 4458,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass ProductStore(Store):\n <mask token>\n\n def add_product(self, product):\n try:\n c = self.conn.cursor()\n c.execute(\n 'INSERT ... | [
0,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def solve():
a = int(input())
b = int(input())
return math.sqrt(a * a + b * b)
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def solve():
a = int(input())
b = i... | flexible | {
"blob_id": "a22d38f7e8122d6339d1beab3bf08fa41c36d61d",
"index": 9648,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef solve():\n a = int(input())\n b = int(input())\n return math.sqrt(a * a + b * b)\n\n\n<mask token>\n",
"step-3": "<mask token>\n\n\ndef solve():\n a = int(input())\n... | [
0,
1,
2,
3
] |
'''
This module is used for handling the button.
'''
import RPi.GPIO as GPIO
from aiy.voicehat import *
class Button:
status = bool() #status indicates whether it is supposed to be on or off.
LED_pin = 25 #Pin for the LED in the button in the Google AIY kit.
button_pin = 23#... | normal | {
"blob_id": "878937e19d6a48a0d44309efbac1d41c208ce849",
"index": 6195,
"step-1": "<mask token>\n\n\nclass Button:\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n def read_button(self):\n self.status = GPIO.input(self.button_pin)\n\n def light(self, stat):\n if stat... | [
4,
5,
6,
7,
8
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
sns.catplot(x='romantic', y='absences', data=student_data, kind='point',
hue='school', ci=None, estimator=median)
plt.show()
<|reserved_special_token_1|>
import numpy as np
from numpy import median
sns.catplot(x='romantic',... | flexible | {
"blob_id": "11072601e31ceba13f8adf6c070f84ca5add35e9",
"index": 3300,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nsns.catplot(x='romantic', y='absences', data=student_data, kind='point',\n hue='school', ci=None, estimator=median)\nplt.show()\n",
"step-3": "import numpy as np\nfrom numpy import m... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
class Bank:
<|reserved_special_token_0|>
def __init__(self):
self.Bank_name = 'State Bank of India'
self.ifsc = 'SBI0N00012'
def __repr__(self):
return f'Bank Name: {self.Bank_name}, IFSC_Code : {self.ifsc} '
class CustomerDetails(Bank):
check_a... | flexible | {
"blob_id": "66ae7f4ee01ca5516d8e3dc447eeb4709e2b6aec",
"index": 4615,
"step-1": "<mask token>\n\n\nclass Bank:\n <mask token>\n\n def __init__(self):\n self.Bank_name = 'State Bank of India'\n self.ifsc = 'SBI0N00012'\n\n def __repr__(self):\n return f'Bank Name: {self.Bank_name}, ... | [
9,
10,
13,
14,
15
] |
import json
import math
import rospy
import sys
import RPi.GPIO as GPIO
from std_msgs.msg import Float32
from geometry_msgs.msg import Point32
from time import sleep
#pulse width of difference rotations
d_45 = 1.0
d_90 = 1.5
d_180 = 2.5
frequency = 50.0
t_per_cycle = (1.0 / frequency) * 1000.0
#convert to duty cycle... | normal | {
"blob_id": "95845aeb47e0d2c579739767ece35f4134564d98",
"index": 7717,
"step-1": "<mask token>\n\n\nclass Servo_node:\n\n def __init__(self):\n rospy.init_node('servo_node', anonymous=False)\n GPIO.setwarnings(False)\n GPIO.setmode(GPIO.BCM)\n motor_x = 13\n motor_y = 12\n ... | [
7,
8,
10,
11,
12
] |
# Given an array of integers, return indices of the two numbers such that they add up to a specific target.
# You may assume that each input would have exactly one solution, and you may not use the same element twice.
# Example:
# Given nums = [2, 7, 11, 15], target = 9,
# Because nums[0] + nums[1] = 2 + 7 = 9,
# retu... | normal | {
"blob_id": "16cc85324b555f0cfec8d577b776b86872578822",
"index": 6016,
"step-1": "class Solution:\n <mask token>\n\n\n<mask token>\n",
"step-2": "class Solution:\n\n def twoSum(self, nums, target):\n d = dict([(nums[i], i) for i in range(len(nums))])\n for n in range(len(nums)):\n ... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
class BinarySearchTreeNode:
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_1|>
class BinarySearchTreeNode:
def __init__(self, node_data):
self.data = node_data
self.left = None
self.rig... | flexible | {
"blob_id": "3bdf3a48451b83347a6c9a9851b5b85b608f0b63",
"index": 2826,
"step-1": "<mask token>\n",
"step-2": "class BinarySearchTreeNode:\n <mask token>\n\n\n<mask token>\n",
"step-3": "class BinarySearchTreeNode:\n\n def __init__(self, node_data):\n self.data = node_data\n self.left = No... | [
0,
1,
2,
3,
4
] |
# 選択肢が書き換えられないようにlistではなくtupleを使う
chose_from_two = ('A', 'B', 'C')
answer = []
answer.append('A')
answer.append('C')
print(chose_from_two)
# ('A', 'B', 'C')
print(answer)
# ['A', 'C'] | normal | {
"blob_id": "70b26052d9516fd067ff71074a6dc4c58ace7d80",
"index": 5513,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nanswer.append('A')\nanswer.append('C')\nprint(chose_from_two)\nprint(answer)\n",
"step-3": "chose_from_two = 'A', 'B', 'C'\nanswer = []\nanswer.append('A')\nanswer.append('C')\nprint(ch... | [
0,
1,
2,
3
] |
input = open('in.txt')
output = open('out.py', 'w+')
def opstr(op):
if op == 'RSHIFT': return '>>'
if op == 'LSHIFT': return '<<'
if op == 'OR': return '|'
if op == 'AND': return '&'
if op == 'NOT': return '~'
raise RuntimeError('Unknown {0}'.format(op))
def funstr(fun):
return '{0}_fn'.f... | normal | {
"blob_id": "e68588dff0e54fa03dbb1c629c39d8312a0df26d",
"index": 7230,
"step-1": "<mask token>\n\n\ndef opstr(op):\n if op == 'RSHIFT':\n return '>>'\n if op == 'LSHIFT':\n return '<<'\n if op == 'OR':\n return '|'\n if op == 'AND':\n return '&'\n if op == 'NOT':\n ... | [
3,
4,
5,
6,
7
] |
<|reserved_special_token_0|>
class TestTiming(TestCase):
def test_decompose_ns(self):
duration: int = 234
decomposition: List[Tuple[int, str]] = decompose(duration)
expected_decomposition: List[Tuple[int, str]] = [(234, 'ns')]
self.assertListEqual(expected_decomposition, decomposi... | flexible | {
"blob_id": "afecbb46a98fbf6b5c26f5b6c8026aec035fadf1",
"index": 6696,
"step-1": "<mask token>\n\n\nclass TestTiming(TestCase):\n\n def test_decompose_ns(self):\n duration: int = 234\n decomposition: List[Tuple[int, str]] = decompose(duration)\n expected_decomposition: List[Tuple[int, str... | [
7,
11,
12,
16,
17
] |
<|reserved_special_token_0|>
class ShanghaiTechPartA(Dataset):
def __init__(self, root, shuffle=False, transform=None, downsample=1):
self.root = root
self.shuffle = shuffle
self.transform = transform
self.downsample = downsample
self.image_names = [filename for filename i... | flexible | {
"blob_id": "8a0a98ab072e46463d80d8638c830e6db0032a77",
"index": 8101,
"step-1": "<mask token>\n\n\nclass ShanghaiTechPartA(Dataset):\n\n def __init__(self, root, shuffle=False, transform=None, downsample=1):\n self.root = root\n self.shuffle = shuffle\n self.transform = transform\n ... | [
3,
4,
5,
6,
7
] |
"""
Script: coverage.py
Identifies domains that only occur in multi-domain proteins. The main
script is master.
--------------------
Felix A Kruger
momo.sander@ebi.ac.uk
"""
####
#### import modules.
####
import queryDevice
import operator
import yaml
import time
####
#### Load parameters.
####... | normal | {
"blob_id": "2467825d2cb01c86d3ba27562decc12551877af1",
"index": 457,
"step-1": "\"\"\"\n Script: coverage.py\n Identifies domains that only occur in multi-domain proteins. The main\n script is master.\n --------------------\n Felix A Kruger\n momo.sander@ebi.ac.uk\n\"\"\"\n####\n#### import m... | [
0
] |
<|reserved_special_token_0|>
def getIkbResult(search_str):
ans_list = get_search_res('ikb', 'kb', search_str)
for i in ans_list:
i['kb_id'] = i.pop('id')
return ans_list
def get_search_res(index, doc_type, query):
ans = {}
search_dsl = '{"query":{"regexp":{"text":".*%s.*"}}}' % query
... | flexible | {
"blob_id": "70c78021a2544ea372545b037ed55298c26391d1",
"index": 1182,
"step-1": "<mask token>\n\n\ndef getIkbResult(search_str):\n ans_list = get_search_res('ikb', 'kb', search_str)\n for i in ans_list:\n i['kb_id'] = i.pop('id')\n return ans_list\n\n\ndef get_search_res(index, doc_type, query):... | [
4,
5,
7,
8,
10
] |
import heapq
from util import edit_distance
def autocomplete(suggest_tree, bktree, prefix, count=5):
"""Suggest top completions for a prefix given a SuggestTree and BKTree.
Completions for a given prefix are weighted primarily by their weight in the
suggest tree, and secondarily by their Levenshtein... | normal | {
"blob_id": "24891cdefcd061f04e7b7768b1bde4e32b78adcc",
"index": 8690,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef completion_proximity_score(prefix, completion):\n \"\"\"Calculate a score based on suffix length where a shorter length always\n yields a higher score.\"\"\"\n if prefix ... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
sb.set(style='ticks')
<|reserved_special_token_0|>
os.chdir(
'C://Users/pearseb/Dropbox/PhD/My articles/nitrogen-carbon cycles/data_for_publication'
)
<|reserved_special_token_0|>
lon_bnds[:, 0] += 360.0
<|reserved_special... | flexible | {
"blob_id": "635b02e03578d44f13530bd57ab1a99987d4909d",
"index": 5987,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nsb.set(style='ticks')\n<mask token>\nos.chdir(\n 'C://Users/pearseb/Dropbox/PhD/My articles/nitrogen-carbon cycles/data_for_publication'\n )\n<mask token>\nlon_bnds[:, 0] += 360.0\n... | [
0,
1,
2,
3,
4
] |
# -*- coding:utf-8 -*-
import json
from datetime import datetime
from math import ceil, floor
from os.path import abspath, join, pardir
from struct import pack
from .global_settings import (
DEBUG, DEBUG_POLY_STOP, INPUT_JSON_FILE_NAME, INVALID_ZONE_ID, NR_BYTES_H, NR_BYTES_I, NR_SHORTCUTS_PER_LAT,
NR_SHORTCUT... | normal | {
"blob_id": "52e43f795c864340734de2640e3c1a70b05e8ea0",
"index": 7248,
"step-1": "<mask token>\n\n\ndef x_shortcut(lng):\n return floor((lng + 180) * NR_SHORTCUTS_PER_LNG)\n\n\ndef y_shortcut(lat):\n return floor((90 - lat) * NR_SHORTCUTS_PER_LAT)\n\n\ndef big_zone(xmax, xmin, ymax, ymin):\n return (xma... | [
11,
13,
15,
17,
22
] |
<|reserved_special_token_0|>
def findIris(eyeMask, im, thresh):
r = im[:, :, 2]
_, binaryIm = cv2.threshold(r, thresh, 255, cv2.THRESH_BINARY_INV)
kernel = cv2.getStructuringElement(cv2.MORPH_ELLIPSE, (4, 4))
morph = cv2.dilate(binaryIm, kernel, 1)
morph = cv2.merge((morph, morph, morph))
morp... | flexible | {
"blob_id": "65ff3b5137c94890c3293a2ae3f57dee1f60a54c",
"index": 9097,
"step-1": "<mask token>\n\n\ndef findIris(eyeMask, im, thresh):\n r = im[:, :, 2]\n _, binaryIm = cv2.threshold(r, thresh, 255, cv2.THRESH_BINARY_INV)\n kernel = cv2.getStructuringElement(cv2.MORPH_ELLIPSE, (4, 4))\n morph = cv2.d... | [
3,
6,
8,
10,
11
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def get_attack(attack_config: Dict):
if attack_config['attack_model'] == 'drift':
return DriftAttack(attack_config=attack_config)
elif attack_config['attack_model'] == 'additive_gaussian':
return Additive... | flexible | {
"blob_id": "11320922d24b27c5cfa714f88eb0a757deef987f",
"index": 8546,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef get_attack(attack_config: Dict):\n if attack_config['attack_model'] == 'drift':\n return DriftAttack(attack_config=attack_config)\n elif attack_config['attack_model']... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def which_lov(series: pd.Series, patterns: Sequence[Sequence[Any]], method:
Optional[Union[Callable, str]]=None, **kwargs) ->np.ndarray:
"""Which list-of-values does every element of series match first?
Warnings:
... | flexible | {
"blob_id": "7b9bf791d52fdc801e24d0c8541d77d91a488e12",
"index": 3361,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef which_lov(series: pd.Series, patterns: Sequence[Sequence[Any]], method:\n Optional[Union[Callable, str]]=None, **kwargs) ->np.ndarray:\n \"\"\"Which list-of-values does ever... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
def get_dev_key():
ads_dev_key_filename = os.path.abspath(os.path.expanduser('~/.ads/dev_key')
)
if os.path.exists(ads_dev_key_filename):
with open(ads_dev_key_filename, 'r') as fp:
dev_key = fp.readline().rstrip()
return dev_key
dev_key = o... | flexible | {
"blob_id": "9e314cdf4ef09ecf4a4b43358ae32f76c40aaea8",
"index": 8037,
"step-1": "<mask token>\n\n\ndef get_dev_key():\n ads_dev_key_filename = os.path.abspath(os.path.expanduser('~/.ads/dev_key')\n )\n if os.path.exists(ads_dev_key_filename):\n with open(ads_dev_key_filename, 'r') as fp:\n ... | [
2,
3,
4,
5,
6
] |
<|reserved_special_token_0|>
class ProcessDisplay(commands.Cog):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
@commands.Cog.listener()
async def on_ready(self):
"""
Ran when bot is starting up and ready
Deletes messages from the bot in the TEXTCHANNEL
star... | flexible | {
"blob_id": "8dfef0a4525328be8dfb4723f0a168dc22eb5eb2",
"index": 520,
"step-1": "<mask token>\n\n\nclass ProcessDisplay(commands.Cog):\n <mask token>\n <mask token>\n\n @commands.Cog.listener()\n async def on_ready(self):\n \"\"\"\n Ran when bot is starting up and ready\n Deletes... | [
2,
4,
6,
9,
11
] |
<|reserved_special_token_0|>
class CouponForm(forms.ModelForm):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
def clean(self):
cleaned_type = self.cleane... | flexible | {
"blob_id": "a0f83f0a2c6ddaa2fc641bd4fa48a6f50fd1d978",
"index": 1755,
"step-1": "<mask token>\n\n\nclass CouponForm(forms.ModelForm):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n def clean(self):\n cleaned_type = self.cleaned_data.get(... | [
2,
3,
4,
5,
6
] |
# class User:
# def __init__(self, name_parameter, email_parameter):
# self.nameofPerson = name_parameter
# self.emailofPerson = email_parameter
# self.account_balance = 0
# def depositMoney(self, amount);
# self.account_balance += amount
# return self
# def transfe... | normal | {
"blob_id": "c69dcffc06146af610a7976e522b6e35cabde1aa",
"index": 3050,
"step-1": "# class User:\n# def __init__(self, name_parameter, email_parameter):\n# self.nameofPerson = name_parameter\n# self.emailofPerson = email_parameter\n# self.account_balance = 0\n\n# def depositMoney(s... | [
1
] |
<|reserved_special_token_0|>
class RatesAdmin(admin.ModelAdmin):
list_filter = ['c_code_id', 'upd_id']
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class CurrencyAdmin(admin.ModelAdmin):
pass
class UpdAdmin(admin.ModelAdmin):
pass
class RatesAdmin(admin... | flexible | {
"blob_id": "20ccdd319bfbbb4f17e8518eb60d125112c05d8e",
"index": 6828,
"step-1": "<mask token>\n\n\nclass RatesAdmin(admin.ModelAdmin):\n list_filter = ['c_code_id', 'upd_id']\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\nclass CurrencyAdmin(admin.ModelAdmin):\n pass\n\n\nclass UpdAdmin(admin.ModelA... | [
2,
4,
5,
6
] |
from PyQt5.QtWidgets import QWidget, QHBoxLayout, QLabel, QComboBox
class ChoiceTargetNumbers(QWidget):
"""Виджет с выбором номеров целей"""
def __init__(self, parent=None) -> None:
QWidget.__init__(self, parent)
# Нужные компоненты
label = QLabel(text="Выберите номера целей:")
... | normal | {
"blob_id": "291cd789ac3ab7b794be8feafe0f608ad0c081d7",
"index": 9674,
"step-1": "<mask token>\n\n\nclass ChoiceTargetNumbers(QWidget):\n <mask token>\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass ChoiceTargetNumbers(QWidget):\n <mask token>\n\n def __init__(self, parent=None) ->None:\n ... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
def get_data():
class_list = []
with open('counts.tsv') as fd:
for line in fd.read().splitlines():
class_data = line.split('\t')
class_list.append(class_data)
return class_list
def get_fall_2016():
directory = get_data()
fall_2016_... | flexible | {
"blob_id": "af8a3fbce35685cd89dee72449a8be2a133b4a3f",
"index": 4684,
"step-1": "<mask token>\n\n\ndef get_data():\n class_list = []\n with open('counts.tsv') as fd:\n for line in fd.read().splitlines():\n class_data = line.split('\\t')\n class_list.append(class_data)\n ... | [
17,
19,
24,
26,
27
] |
# -*- coding: utf-8 -*-
# Define your item pipelines here
#
# Don't forget to add your pipeline to the ITEM_PIPELINES setting
# See: http://doc.scrapy.org/en/latest/topics/item-pipeline.html
from sqlalchemy import create_engine, MetaData, Table
class DoubanPipeline(object):
conn = None
film_table = None
... | normal | {
"blob_id": "5ef6b2ff89ee1667ddb01b1936557f1f11a49910",
"index": 4673,
"step-1": "# -*- coding: utf-8 -*-\n\n# Define your item pipelines here\n#\n# Don't forget to add your pipeline to the ITEM_PIPELINES setting\n# See: http://doc.scrapy.org/en/latest/topics/item-pipeline.html\nfrom sqlalchemy import create_eng... | [
0
] |
<|reserved_special_token_0|>
def __run_query(self, query):
URL = 'https://api.github.com/graphql'
request = requests.post(URL, json=query, auth=HTTPBasicAuth('gleisonbt',
'Aleister93'))
if request.status_code == 200:
return request.json()
else:
raise Exception('Query failed to ... | flexible | {
"blob_id": "fa511411e59880fd80fba0ccc49c95d42cb4b78d",
"index": 6962,
"step-1": "<mask token>\n\n\ndef __run_query(self, query):\n URL = 'https://api.github.com/graphql'\n request = requests.post(URL, json=query, auth=HTTPBasicAuth('gleisonbt',\n 'Aleister93'))\n if request.status_code == 200:\n... | [
1,
2,
3,
4,
5
] |
#!/usr/bin/env python
host, port = "localhost", 9999
import os
import sys
import signal
import socket
import time
import select
from SocketServer import TCPServer
from SocketServer import StreamRequestHandler
class TimeoutException(Exception):
pass
def read_command(rfile,wfile,prompt):
def timeout_handler(signum... | normal | {
"blob_id": "e00b81f73f4f639e008fde1a6b2d4f7937df4207",
"index": 8518,
"step-1": "<mask token>\n\n\nclass TimeoutException(Exception):\n pass\n\n\n<mask token>\n\n\nclass Control(StreamRequestHandler):\n allow_reuse_address = True\n\n def handle(self):\n command = 'go'\n prompt = True\n ... | [
6,
9,
10,
11,
13
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
player_resource = PlayerResource()
game_resource = GameResource()
urlpatterns = [url('^$', views.index, name='index'), url('^api/', include(
player_resource.urls)), url('^api/', include(game_resource.urls))]
<|reserved_speci... | flexible | {
"blob_id": "ff959a388438a6d9c6d418e28c676ec3fd196ea0",
"index": 6076,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nplayer_resource = PlayerResource()\ngame_resource = GameResource()\nurlpatterns = [url('^$', views.index, name='index'), url('^api/', include(\n player_resource.urls)), url('^api/', in... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
def getAllMembersFromDB(**kwargs):
"""Finds and returns all the registered members"""
isResponseParsed = kwargs.get('isParsed', False)
logging.info('Trying to find all the users')
try:
rawMembersData = Member.objects()
parsedMembers = [MemberInDBSchema(**me... | flexible | {
"blob_id": "95f9e9a8f681679f56c3755199fba7d654af85e8",
"index": 1937,
"step-1": "<mask token>\n\n\ndef getAllMembersFromDB(**kwargs):\n \"\"\"Finds and returns all the registered members\"\"\"\n isResponseParsed = kwargs.get('isParsed', False)\n logging.info('Trying to find all the users')\n try:\n ... | [
3,
4,
5,
6,
7
] |
# Generated by Django 2.2.16 on 2020-11-04 12:48
import ckeditor_uploader.fields
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('course', '0002_auto_20201103_1648'),
]
operations = [
migrations.AddField(
model_name='course',... | normal | {
"blob_id": "afacc2c54584c070963c4cb3cabbae64bb0e3159",
"index": 1858,
"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 = [('course', '0... | [
0,
1,
2,
3,
4
] |
import os
from sqlalchemy import Column, ForeignKey, Integer, String, Float, Boolean, DateTime
from sqlalchemy import and_, or_
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import relationship
from sqlalchemy import create_engine, func
from sqlalchemy.orm import sessionmaker, scoped_sess... | normal | {
"blob_id": "6db0adf25a7cc38c8965c07cc80bde0d82c75d56",
"index": 3955,
"step-1": "<mask token>\n\n\nclass UsageData(Base):\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 @property\n def dt... | [
9,
11,
12,
16,
21
] |
<|reserved_special_token_0|>
def genAcc():
num = 1
y = [3, 0]
while num <= 8:
x = random.randint(0, 9)
y.append(x)
num = num + 1
accountNo = ''.join([str(i) for i in y])
return accountNo
def transfer(tName, tNo, amount, tBankName):
user[-1] = int(user[-1]) + amoun... | flexible | {
"blob_id": "a8106c8f14e15706b12e6d157b889288b85bc277",
"index": 6789,
"step-1": "<mask token>\n\n\ndef genAcc():\n num = 1\n y = [3, 0]\n while num <= 8:\n x = random.randint(0, 9)\n y.append(x)\n num = num + 1\n accountNo = ''.join([str(i) for i in y])\n return accountNo... | [
7,
8,
9,
13,
15
] |
<|reserved_special_token_0|>
class nearest(svm):
<|reserved_special_token_0|>
def __init__(self):
svm.__init__(self)
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class nearest(svm):
<|reserved_special_token_0|>
... | flexible | {
"blob_id": "7d1ca15129b1bf6b713e1d5eda4436d4a8539ad1",
"index": 5939,
"step-1": "<mask token>\n\n\nclass nearest(svm):\n <mask token>\n\n def __init__(self):\n svm.__init__(self)\n <mask token>\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass nearest(svm):\n <mask token>\n\n def ... | [
2,
3,
5,
6,
7
] |
# Generated by Django 2.2.1 on 2019-05-05 18:41
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('core', '0001_initial'),
]
operations = [
migrations.AlterField(
model_name='divida',
name='id_cliente',
... | normal | {
"blob_id": "1ce7b292f89fdf3f978c75d4cdf65b6991f71d6f",
"index": 7499,
"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 = [('core', '000... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
def init_setup():
cfg = get_cfg()
cfg.merge_from_file(model_zoo.get_config_file(
'COCO-InstanceSegmentation/mask_rcnn_R_50_FPN_3x.yaml'))
cfg.MODEL.ROI_HEADS.SCORE_THRESH_TEST = 0.5
cfg.MODEL.WEIGHTS = model_zoo.get_checkpoint_url(
'COCO-InstanceSegmentatio... | flexible | {
"blob_id": "a18e98db417fe234e3d8d5d1321203fbac18751c",
"index": 8174,
"step-1": "<mask token>\n\n\ndef init_setup():\n cfg = get_cfg()\n cfg.merge_from_file(model_zoo.get_config_file(\n 'COCO-InstanceSegmentation/mask_rcnn_R_50_FPN_3x.yaml'))\n cfg.MODEL.ROI_HEADS.SCORE_THRESH_TEST = 0.5\n cf... | [
4,
5,
6,
7,
8
] |
# -*- coding: utf-8 -*-
"""Module providing views for asset storage folder"""
from Products.Five.browser import BrowserView
from plone import api
from plone.app.contenttypes.interfaces import IImage
class AssetRepositoryView(BrowserView):
""" Folderish content page default view """
def contained_items(self, u... | normal | {
"blob_id": "70c20b38edb01552a8c7531b3e87a9302ffaf6c5",
"index": 5062,
"step-1": "<mask token>\n\n\nclass AssetRepositoryView(BrowserView):\n <mask token>\n\n def contained_items(self, uid):\n stack = api.content.get(UID=uid)\n return stack.restrictedTraverse('@@folderListing')()\n\n def i... | [
3,
4,
5,
6,
7
] |
import unittest
from textwrap import dedent
from simplesat import InstallRequirement, Repository
from simplesat.test_utils import packages_from_definition
from ..compute_dependencies import (compute_dependencies,
compute_leaf_packages,
compute_re... | normal | {
"blob_id": "fcf19c49bb161305eaa5ba8bc26e276a8e8db8ea",
"index": 3925,
"step-1": "<mask token>\n\n\nclass TestComputeReverseDependencies(unittest.TestCase):\n\n def setUp(self):\n repo_0 = Repository(packages_from_definition(PACKAGE_DEF_0))\n repo_1 = Repository(packages_from_definition(PACKAGE_... | [
5,
12,
13,
14,
18
] |
<|reserved_special_token_0|>
def follow(request):
action = request.POST.get('action')
followed_user_id = request.POST.get('followedUserId')
followed_user = User.objects.get(id=followed_user_id)
if followed_user == request.user:
return JsonResponse({})
if request.user.is_authenticated():
... | flexible | {
"blob_id": "0b4f070d30642449536118accffa371a89dd3075",
"index": 8857,
"step-1": "<mask token>\n\n\ndef follow(request):\n action = request.POST.get('action')\n followed_user_id = request.POST.get('followedUserId')\n followed_user = User.objects.get(id=followed_user_id)\n if followed_user == request.... | [
6,
9,
11,
12,
16
] |
import numpy as np
import yaml
import pickle
import os
from flask import Flask, request, jsonify, render_template, redirect, url_for, flash
from flask_mail import Mail, Message
from flask_wtf import FlaskForm
from flask_sqlalchemy import SQLAlchemy
from flask_bootstrap import Bootstrap
from wtforms import StringField,... | normal | {
"blob_id": "f6a3693fe81e629d987067265bf4e410bf260bcf",
"index": 1663,
"step-1": "<mask token>\n\n\nclass User(UserMixin, db.Model):\n id = db.Column(db.Integer, primary_key=True)\n username = db.Column(db.String(15), unique=True)\n email = db.Column(db.String(50), unique=True)\n password = db.Column... | [
25,
26,
28,
36,
39
] |
<|reserved_special_token_0|>
def upload(client, fnames):
for im in fnames:
im = Path(im)
client.file(ORIGINAL_DATA_DIR + str(im.name)).put(im.read_bytes())
<|reserved_special_token_0|>
def style_transfer(fnames, out_folder, filter_name):
client = Algorithmia.client(API_KEY)
client.dir(... | flexible | {
"blob_id": "2536b22c2d154e87bdecb72cc967d8c56ddb73fb",
"index": 609,
"step-1": "<mask token>\n\n\ndef upload(client, fnames):\n for im in fnames:\n im = Path(im)\n client.file(ORIGINAL_DATA_DIR + str(im.name)).put(im.read_bytes())\n\n\n<mask token>\n\n\ndef style_transfer(fnames, out_folder, fi... | [
2,
3,
4,
5,
6
] |
#!/usr/bin/env python
from __future__ import print_function
from __future__ import division
from __future__ import absolute_import
# Workaround for segmentation fault for some versions when ndimage is imported after tensorflow.
import scipy.ndimage as nd
import argparse
import numpy as np
from pybh import tensorpack... | normal | {
"blob_id": "a283fd1e4098ea8bb3cc3580438c90e5932ba22f",
"index": 5852,
"step-1": "<mask token>\n\n\ndef dict_from_dataflow_generator(df):\n for sample in df.get_data():\n yield sample[0]\n\n\ndef split_lmdb_dataset(lmdb_input_path, lmdb_output_path1,\n lmdb_output_path2, split_ratio1, batch_size, sh... | [
5,
6,
7,
8,
9
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def main():
imgpath1 = 'C:\\Shreyas\\OpenCv\\DIP_OpenCV\\lena.png'
imgpath2 = 'C:\\Shreyas\\OpenCv\\DIP_OpenCV\\lena.png'
img1 = cv2.imread(imgpath1, 1)
img2 = cv2.imread(imgpath2, 1)
titles = ['Pepper Gray',... | flexible | {
"blob_id": "2867a7b24b4911b2936cb34653fa57431c14d6a3",
"index": 7319,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef main():\n imgpath1 = 'C:\\\\Shreyas\\\\OpenCv\\\\DIP_OpenCV\\\\lena.png'\n imgpath2 = 'C:\\\\Shreyas\\\\OpenCv\\\\DIP_OpenCV\\\\lena.png'\n img1 = cv2.imread(imgpath1, 1)... | [
0,
1,
2,
3,
4
] |
from django.core.mail import send_mail
from django.template.loader import render_to_string
from django.utils.html import strip_tags
from datetime import datetime, timedelta
def sendmail(subject, template, to, context):
template_str = 'app/' + template + '.html'
html_msg = render_to_string(template_str, {'data... | normal | {
"blob_id": "0349a8a4841b024afd77d20ae18810645fad41cd",
"index": 4883,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef sendmail(subject, template, to, context):\n template_str = 'app/' + template + '.html'\n html_msg = render_to_string(template_str, {'data': context})\n plain_msg = strip_... | [
0,
1,
2
] |
from django.db.models import Sum, Count
from django.db.models.functions import Coalesce
from django.utils.timezone import localtime
from .models import Quote, Vote
import pygal
from pygal.style import Style
style = Style(
background='transparent',
plot_background='transparent',
foreground='#3d3d3d',
foreground_s... | normal | {
"blob_id": "6f6f57ff317d7e3c6e6ae4d450c6fdf0e22eb4eb",
"index": 7256,
"step-1": "<mask token>\n\n\nclass QuotesByMonth:\n <mask token>\n <mask token>\n <mask token>\n\n\nclass QuotesByRating:\n\n def __init__(self):\n self.chart = pygal.Histogram(title='Quotes by Rating', margin=20,\n ... | [
9,
16,
20,
21,
23
] |
# Generated by Django 3.1.7 on 2021-04-16 14:03
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='AuditLog',
fields=[
('id', models.AutoField... | normal | {
"blob_id": "d65d85b4573728ed32ccf987459d5a228e2a8897",
"index": 5196,
"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
] |
<|reserved_special_token_0|>
def convert_mass_to_concentration(fluidStream, component):
total_mass = fluidStream.TotalMass
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def convert_mass_to_concentration(fluidStream, component):
total_mass = fluidStream.TotalMass... | flexible | {
"blob_id": "3471f02f507104202c1e49440172f120ba17730f",
"index": 9263,
"step-1": "<mask token>\n\n\ndef convert_mass_to_concentration(fluidStream, component):\n total_mass = fluidStream.TotalMass\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\ndef convert_mass_to_concentration(fluidStream, component):\n ... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
class UserForm(forms.ModelForm):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
class Meta:
model = User
fields = 'first_name', 'last_name', 'email'
<|reserved_special_token_0|>
<|reserved_special_token_0|>
... | flexible | {
"blob_id": "5215b5e4efe2e126f18b3c4457dc3e3902923d49",
"index": 6360,
"step-1": "<mask token>\n\n\nclass UserForm(forms.ModelForm):\n <mask token>\n <mask token>\n <mask token>\n\n\n class Meta:\n model = User\n fields = 'first_name', 'last_name', 'email'\n <mask token>\n <mask t... | [
10,
11,
15,
16,
17
] |
import pymysql
class DB:
def __init__(self, host='localhost', port=3306, db_='test', user='wj',
passwd='', charset='utf8'):
self.db = db_
self.conn = pymysql.connect(host=host, port=port, db=db_, user=user, passwd=passwd, charset=charset)
self.cur = self.conn.curso... | normal | {
"blob_id": "80ad4459436e2e1cc44509e7dae18d1539bf2bc0",
"index": 8139,
"step-1": "<mask token>\n\n\nclass DB:\n <mask token>\n\n def __enter__(self):\n return self\n <mask token>\n\n def write(self, data):\n sql = \"INSERT INTO {}({}) VALUES ('%s')\".format('data', 'a') % data\n ... | [
4,
6,
7,
8,
9
] |
# Generated by Django 2.2.15 on 2020-09-16 03:20
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
import django.db.models.fields
class Migration(migrations.Migration):
dependencies = [
('api', '0005_cashiershift_couriershift_couriershiftexpenses_... | normal | {
"blob_id": "1c979d505b58025aae74865d6556c726ed3f0769",
"index": 2651,
"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 = [('api',\n ... | [
0,
1,
2,
3,
4
] |
#!/usr/bin/env python3.7
import Adafruit_GPIO
import Adafruit_GPIO.I2C as I2C
import time
import sys
import argparse
import os
argparser = argparse.ArgumentParser(
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
description="Select I2C channel multiplexed by TCA9548A")
argparser.add_argument... | normal | {
"blob_id": "46aa795bb72db0fcd588b1747e3559b8828be17c",
"index": 6927,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nargparser.add_argument('ch', nargs='?', help='channel', type=int)\n<mask token>\nif args.ch is None:\n for channel in range(0, 8):\n print(f'== CHANNEL {channel} ==')\n T... | [
0,
1,
2,
3,
4
] |
from pointsEau.models import PointEau
from django.contrib.auth.models import User
from rest_framework import serializers
class PointEauSerializer(serializers.ModelSerializer):
class Meta:
model = PointEau
fields = [
'pk',
'nom',
'lat',
'long',
... | normal | {
"blob_id": "51f171b3847b3dbf5657625fdf3b7fe771e0e004",
"index": 4743,
"step-1": "<mask token>\n\n\nclass UserSerializer(serializers.ModelSerializer):\n pointseau = serializers.PrimaryKeyRelatedField(many=True, queryset=\n PointEau.objects.all())\n\n\n class Meta:\n model = User\n fiel... | [
2,
3,
4,
5,
6
] |
<|reserved_special_token_0|>
@app.route('/')
def index():
list = []
creds = config.get_ec2_conf()
for region in config.region_list():
conn = connect_to_region(region, aws_access_key_id=creds[
'AWS_ACCESS_KEY_ID'], aws_secret_access_key=creds[
'AWS_SECRET_ACCESS_KEY'])
... | flexible | {
"blob_id": "22c2425f1dc14b6b0005ebf2231af8abf43aa2e1",
"index": 5273,
"step-1": "<mask token>\n\n\n@app.route('/')\ndef index():\n list = []\n creds = config.get_ec2_conf()\n for region in config.region_list():\n conn = connect_to_region(region, aws_access_key_id=creds[\n 'AWS_ACCESS_... | [
6,
7,
8,
9
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
try:
SECRET_KEY
except NameError:
SECRET_FILE = os.path.join(BASE_DIR, 'secret.txt')
try:
SECRET_KEY = open(SECRET_FILE).read().strip()
except IOError:
try:
from random import choice
... | flexible | {
"blob_id": "32ca107fde4c98b61d85f6648f30c7601b31c7f3",
"index": 3182,
"step-1": "<mask token>\n",
"step-2": "<mask token>\ntry:\n SECRET_KEY\nexcept NameError:\n SECRET_FILE = os.path.join(BASE_DIR, 'secret.txt')\n try:\n SECRET_KEY = open(SECRET_FILE).read().strip()\n except IOError:\n ... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
print(number)
<|reserved_special_token_0|>
print(c)
<|reserved_special_token_0|>
print(word1, ' ' + word2, ' ' + word3)
<|reserved_special_token_0|>
print(word[:4])
<|reserved_special_token_1|>
number = (30 * 39 + 300) ** 10
pr... | flexible | {
"blob_id": "c2f82cf73d095979d1da346b7dd7779bcc675805",
"index": 4045,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(number)\n<mask token>\nprint(c)\n<mask token>\nprint(word1, ' ' + word2, ' ' + word3)\n<mask token>\nprint(word[:4])\n",
"step-3": "number = (30 * 39 + 300) ** 10\nprint(number)\n... | [
0,
1,
2,
3
] |
import dataset
import json
import gc
import os
jsonDir = "/home/jr/share/python/music-visualizer/merged"
db = dataset.connect('sqlite:///test.db')
table = db['Songs']
for root, subFolders, files in os.walk(jsonDir):
for f in files:
print("file:{}".format(f))
gc.collect()
tmpJson = json.lo... | normal | {
"blob_id": "3461e9dceb2c0bfc49002809154f8be4cd8c66e2",
"index": 1483,
"step-1": "import dataset\nimport json\nimport gc\nimport os\n\njsonDir = \"/home/jr/share/python/music-visualizer/merged\"\n\ndb = dataset.connect('sqlite:///test.db')\ntable = db['Songs']\n\nfor root, subFolders, files in os.walk(jsonDir):\... | [
0
] |
from .score_funcs import *
from cryptonita.fuzzy_set import FuzzySet
from cryptonita.helpers import are_bytes_or_fail
def scoring(msg, space, score_func, min_score=0.5, **score_func_params):
''' Run the score function over the given message and over a parametric
value x. Return all the values x as a Fuzz... | normal | {
"blob_id": "99048ddb3f42382c8b8b435d832a45011a031cf1",
"index": 8537,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef scoring(msg, space, score_func, min_score=0.5, **score_func_params):\n \"\"\" Run the score function over the given message and over a parametric\n value x. Return all t... | [
0,
1,
2,
3
] |
# -*- coding: utf-8 -*-
"""
Created on Wed Dec 19 09:41:08 2018
hexatrigesimal to decimal calculator,
base 36 encoding; use of letters with digits.
@author: susan
"""
## create a dictionary as reference for BASE 36 calculations
WORD = "0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZ" # digits of BASE 36
BASE = {}
for i,... | normal | {
"blob_id": "5a265ecb9f1d6d0e4a5c66d241fbfe4a6df97825",
"index": 8191,
"step-1": "<mask token>\n\n\ndef enter_num():\n \"\"\" get user input and do error checking for illegal digits.\n returns\n -------\n num\n \"\"\"\n num = input('please enter a BASE 36 number, e.g. A36Z :> ')\n num = num.... | [
2,
4,
5,
6,
7
] |
from django.urls import path,include
from.import views
from user.views import DetailsChangeView, HomeView, PasswordChangeView,SignUpView,LoginView,SettingsView,LogoutView,CreatePostView,CommentPostView,PasswordChangeView
urlpatterns = [
path('', HomeView.as_view(), name = 'HomeView'),
path('LoginView/', LoginV... | normal | {
"blob_id": "5bd8cee2595215fda6ab523a646cf918e3d84a50",
"index": 937,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nurlpatterns = [path('', HomeView.as_view(), name='HomeView'), path(\n 'LoginView/', LoginView.as_view(), name='LoginView'), path(\n 'SignUpView/', SignUpView.as_view(), name='SignUpV... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
print(id(x))
print(id(y))
print()
<|reserved_special_token_0|>
print(id(x))
print(id(y))
print()
<|reserved_special_token_0|>
print(z)
print(w)
print(id(z))
print(id(w))
print()
<|reserved_special_token_0|>
print(z)
print(w)
print... | flexible | {
"blob_id": "956adc5961188458393b56564649ad0a3a787669",
"index": 7327,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(id(x))\nprint(id(y))\nprint()\n<mask token>\nprint(id(x))\nprint(id(y))\nprint()\n<mask token>\nprint(z)\nprint(w)\nprint(id(z))\nprint(id(w))\nprint()\n<mask token>\nprint(z)\nprin... | [
0,
1,
2,
3
] |
import sys
import smtplib
from email.mime.text import MIMEText
from email.utils import formatdate
from ... import config
def create_message(from_addr, to_addr, subject, message, encoding):
body = MIMEText(message, 'plain', encoding)
body['Subject'] = subject
body['From'] = from_addr
body['To'] = to_add... | normal | {
"blob_id": "237724db5130926123a3a31be7070947ec7b01f3",
"index": 3492,
"step-1": "<mask token>\n\n\ndef create_message(from_addr, to_addr, subject, message, encoding):\n body = MIMEText(message, 'plain', encoding)\n body['Subject'] = subject\n body['From'] = from_addr\n body['To'] = to_addr\n body... | [
2,
3,
4,
5,
6
] |
# KeyLogger.py
# show a character key when pressed without using Enter key
# hide the Tkinter GUI window, only console shows
import Tkinter as tk
def key(event):
if event.keysym == 'Escape':
root.destroy()
print event.char, event.keysym
root = tk.Tk()
print "Press a key (Escape key to exit):"
root.bi... | normal | {
"blob_id": "368151a134f987ed78c8048521137672530b5cce",
"index": 1022,
"step-1": "# KeyLogger.py\n# show a character key when pressed without using Enter key\n# hide the Tkinter GUI window, only console shows\n\nimport Tkinter as tk\n\ndef key(event):\n if event.keysym == 'Escape':\n root.destroy()\n ... | [
0
] |
<|reserved_special_token_0|>
class DevConfig(Config):
<|reserved_special_token_0|>
ENV = 'dev'
DEBUG = True
class TestConfig(Config):
"""Test configuration."""
TESTING = True
DEBUG = True
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class ProdConfig(Config):
"""Producti... | flexible | {
"blob_id": "4cc1c8668a84cc6faadf60053568d155b8852c5f",
"index": 5643,
"step-1": "<mask token>\n\n\nclass DevConfig(Config):\n <mask token>\n ENV = 'dev'\n DEBUG = True\n\n\nclass TestConfig(Config):\n \"\"\"Test configuration.\"\"\"\n TESTING = True\n DEBUG = True\n",
"step-2": "<mask token>... | [
5,
9,
11,
13,
14
] |
# Copyright 2015 Cisco Systems, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing... | normal | {
"blob_id": "21cfe1ca606d18763fbfb8ff6862c382b3321adc",
"index": 8511,
"step-1": "<mask token>\n\n\ndef firmware_pack_create(handle, org_name, name, rack_bundle_version,\n blade_bundle_version, descr='', mode='staged', org_parent='org-root'):\n \"\"\"\n This method creates Host Firmware pack.\n\n Arg... | [
2,
3,
4,
5,
6
] |
import pandas
def ludwig_get_model_definition(df: 'Dataframe', target: str, features: list):
input_features, output_features = [], []
for p in features:
if (pandas.api.types.is_numeric_dtype(df[p])):
input_features.append({'name': p, 'type': 'numerical',
'preprocessing'... | normal | {
"blob_id": "b7521a604fb49591df814d469f53d35574126fdb",
"index": 7609,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef ludwig_get_model_definition(df: 'Dataframe', target: str, features: list):\n input_features, output_features = [], []\n for p in features:\n if pandas.api.types.is_nu... | [
0,
1,
2,
3
] |
a, b, c = map(int, input().split())
frag = 'NO'
for i in range(b - 1):
if (i + 1) * a % b == c:
frag = 'YES'
break
print(frag)
| normal | {
"blob_id": "6ad36f2b115c822a50a38e88a8d7d524fc5b045b",
"index": 195,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor i in range(b - 1):\n if (i + 1) * a % b == c:\n frag = 'YES'\n break\nprint(frag)\n",
"step-3": "a, b, c = map(int, input().split())\nfrag = 'NO'\nfor i in range(b -... | [
0,
1,
2
] |
<|reserved_special_token_0|>
class RuyConan(ConanFile):
<|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": "fe1c499efe492dbd4f5c9b99bd6339c503c7902b",
"index": 5766,
"step-1": "<mask token>\n\n\nclass RuyConan(ConanFile):\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 <... | [
4,
12,
14,
15,
17
] |
<|reserved_special_token_0|>
def heapify(array, size, ind):
largest = ind
left = 2 * ind + 1
right = 2 * ind + 2
if left < size and array[left] > array[largest]:
largest = left
if right < size and array[right] > array[largest]:
largest = right
if largest != ind:
array[i... | flexible | {
"blob_id": "fbcbad9f64c0f9b68e29afde01f3a4fdba012e10",
"index": 4868,
"step-1": "<mask token>\n\n\ndef heapify(array, size, ind):\n largest = ind\n left = 2 * ind + 1\n right = 2 * ind + 2\n if left < size and array[left] > array[largest]:\n largest = left\n if right < size and array[right... | [
2,
3,
4,
5,
6
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
from .facebook import *
| flexible | {
"blob_id": "7901a2bd4ae1070c8263d3cd97351b01ffbf7bb1",
"index": 7246,
"step-1": "<mask token>\n",
"step-2": "from .facebook import *\n",
"step-3": null,
"step-4": null,
"step-5": null,
"step-ids": [
0,
1
]
} | [
0,
1
] |
<|reserved_special_token_0|>
def is_list_equal(a, b):
if a == b:
print('CORRECT answer! :) ')
time.sleep(2)
print('See you next time !')
time.sleep(3)
return True
else:
print('This is a WRONG answer !')
time.sleep(2)
print('See you next time ! :)... | flexible | {
"blob_id": "bff9fb50f1901094c9ab3d61566509835c774f21",
"index": 6776,
"step-1": "<mask token>\n\n\ndef is_list_equal(a, b):\n if a == b:\n print('CORRECT answer! :) ')\n time.sleep(2)\n print('See you next time !')\n time.sleep(3)\n return True\n else:\n print('Th... | [
2,
3,
4,
5,
6
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def getData(request):
index = request.GET.get('index')
msg = '未查找到数据'
if ExtExecute.objects.filter(query_code=index):
ext = ExtExecute.objects.filter(query_code=index).first()
result = getpicture(ext.... | flexible | {
"blob_id": "e32c73abdcd384ee7c369182527cca6495f067b3",
"index": 1977,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef getData(request):\n index = request.GET.get('index')\n msg = '未查找到数据'\n if ExtExecute.objects.filter(query_code=index):\n ext = ExtExecute.objects.filter(query_cod... | [
0,
1,
2,
3,
4
] |
#!/usr/bin/python2
import unittest
import luna_utils as luna
import time
API_URL = "com.webos.service.videooutput/"
VERBOSE_LOG = True
SUPPORT_REGISTER = False
SINK_MAIN = "MAIN"
SINK_SUB = "SUB0"
#TODO(ekwang): If you connect SUB, HAL error occurs. Just test MAIN in the current state
#SINK_LIST = [SINK_MAIN, SINK_... | normal | {
"blob_id": "27e66b2a03bc626d5babd804e736a4652ba030d5",
"index": 8624,
"step-1": "<mask token>\n\n\nclass TestVideoMethods(luna.TestBase):\n\n def vlog(self, message):\n if VERBOSE_LOG:\n print(message)\n\n def setUp(self):\n self.vlog('setUp')\n if SUPPORT_REGISTER:\n ... | [
11,
14,
15,
17,
18
] |
#!/usr/bin/env python
import unittest
from pyspark import SparkConf, SparkContext
from mmtfPyspark.io.mmtfReader import download_mmtf_files
from mmtfPyspark.datasets import secondaryStructureExtractor
from mmtfPyspark.filters import ContainsLProteinChain
from mmtfPyspark.mappers import StructureToPolymerChains
class... | normal | {
"blob_id": "480e6ae9eee70b2da58ca5624a43d8f5dcae1d33",
"index": 1207,
"step-1": "<mask token>\n\n\nclass SecondaryStructureExtractorTest(unittest.TestCase):\n <mask token>\n\n def test1(self):\n pdb = self.pdb.filter(ContainsLProteinChain()).flatMap(\n StructureToPolymerChains()).filter(... | [
3,
4,
5,
6,
7
] |
from floppy.node import Node, Input, Output, Tag, abstractNode
@abstractNode
class StringNode(Node):
Tag('StringOperations')
class StringAppend(StringNode):
"""
Creates a new node which combines two strings. These can be seperated by a delimiter.
:param nodeClass: subclass object of 'Node'.
:ret... | normal | {
"blob_id": "1bb151171bbbb899456324056be3634e87b5c8fb",
"index": 3494,
"step-1": "<mask token>\n\n\nclass StringAppend(StringNode):\n <mask token>\n Input('First', str)\n Input('Second', str)\n Input('Delimiter', str, optional=True, default='')\n Output('Joined', str)\n <mask token>\n\n\nclass ... | [
4,
5,
6,
8
] |
import urllib, json
from PyQt4.QtCore import QRectF, Qt
from PyQt4.Qt import QPrinter, QPainter, QFont, QBrush, QColor, QPen, QImage
from PyQt4.QtGui import QApplication
# bkgimg = QImage()
# bkgimg.load("KosyMost.jpg", format = "jpg")
#
# print bkgimg
# exit()
def background(painter, bkgimg):
maxx = painter.d... | normal | {
"blob_id": "47587cce572807922344523d8c5fefb09552fe34",
"index": 8638,
"step-1": "import urllib, json\nfrom PyQt4.QtCore import QRectF, Qt\nfrom PyQt4.Qt import QPrinter, QPainter, QFont, QBrush, QColor, QPen, QImage\nfrom PyQt4.QtGui import QApplication\n\n\n# bkgimg = QImage()\n# bkgimg.load(\"KosyMost.jpg\", ... | [
0
] |
<|reserved_special_token_0|>
class TestExtractTrialData(unittest.TestCase):
def setUp(self):
self.main_path = Path(__file__).parent
self.training_lt5 = {'path': self.main_path / 'data' /
'session_training_lt5'}
self.biased_lt5 = {'path': self.main_path / 'data' /
'... | flexible | {
"blob_id": "f17d33f1d035da42dc9a2b4c0c60beefc6a48dea",
"index": 64,
"step-1": "<mask token>\n\n\nclass TestExtractTrialData(unittest.TestCase):\n\n def setUp(self):\n self.main_path = Path(__file__).parent\n self.training_lt5 = {'path': self.main_path / 'data' /\n 'session_training_l... | [
27,
34,
37,
45,
49
] |
# question 1d
# points: 6
import sys
import numpy as np
from astropy.stats import kuiper
import matplotlib
matplotlib.use("Agg")
import matplotlib.pyplot as plt
import handin2 as nur
def main():
seed = 8912312
np.random.seed(8912312)
u = 0
sigma = 1
cdf = nur.gaussian_cdf
num_samples = np.lo... | normal | {
"blob_id": "0158141832423b567f252e38640e384cdf340f8b",
"index": 7105,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef main():\n seed = 8912312\n np.random.seed(8912312)\n u = 0\n sigma = 1\n cdf = nur.gaussian_cdf\n num_samples = np.logspace(1, 5, num=50)\n sample_size = int(... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
class TestNestedDict(unittest.TestCase):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
def test_dfood(self):
self.assertEqual(self.dfood.keys(), [u'0001', u'0002', u'0003'])
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_s... | flexible | {
"blob_id": "f9a255a464b5f48a1a8be2e2887db721a92e7f4e",
"index": 1474,
"step-1": "<mask token>\n\n\nclass TestNestedDict(unittest.TestCase):\n <mask token>\n <mask token>\n\n def test_dfood(self):\n self.assertEqual(self.dfood.keys(), [u'0001', u'0002', u'0003'])\n <mask token>\n <mask toke... | [
3,
6,
8,
10,
12
] |
<|reserved_special_token_0|>
class GpTestCase(unittest.TestCase):
def __init__(self, methodName='runTest'):
super(GpTestCase, self).__init__(methodName)
self.patches = []
self.mock_objs = []
def apply_patches(self, patches):
if self.patches:
raise Exception('Test ... | flexible | {
"blob_id": "e9c88e18472281438783d29648c673aa08366abb",
"index": 1686,
"step-1": "<mask token>\n\n\nclass GpTestCase(unittest.TestCase):\n\n def __init__(self, methodName='runTest'):\n super(GpTestCase, self).__init__(methodName)\n self.patches = []\n self.mock_objs = []\n\n def apply_... | [
4,
6,
7,
8,
9
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def test_register_new_accont(self):
cos = self.cos
cos.get('https://wizzair.com/pl-pl#/')
cos.find_elements_by_class_name(
'navigation__button navigation__button--simple').click()
cos.find_elements_by_cla... | flexible | {
"blob_id": "6efd22feb4f96de74633276b1ec8550f8d853075",
"index": 2657,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef test_register_new_accont(self):\n cos = self.cos\n cos.get('https://wizzair.com/pl-pl#/')\n cos.find_elements_by_class_name(\n 'navigation__button navigation__butt... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def click(x, y):
win32api.SetCursorPos((x, y))
win32api.mouse_event(win32con.MOUSEEVENTF_LEFTDOWN, 0, 0)
time.sleep(0.01)
win32api.mouse_event(win32con.MOUSEEVENTF_LEFTUP, 0, 0)
<|reserved_special_token_0|>
<... | flexible | {
"blob_id": "9f831b8c90dd428879319b63712bd03fcc01b631",
"index": 8212,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef click(x, y):\n win32api.SetCursorPos((x, y))\n win32api.mouse_event(win32con.MOUSEEVENTF_LEFTDOWN, 0, 0)\n time.sleep(0.01)\n win32api.mouse_event(win32con.MOUSEEVENTF... | [
0,
1,
2,
3,
4
] |
from bbdd import *
def usuario():
global usser
usser=input("Introduce un usuario : ")
if len(usser)<5 or len(usser)>15:
print("El usuario debe tener entre 5 y 15 caracteres")
usuario()
elif usser.isalnum()==False:
print("Los valores del usurio deben ser únicamente letras o números")
usuario()
... | normal | {
"blob_id": "ce75c23c6b0862dde797225f53c900b4ebc56428",
"index": 514,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef usuario():\n global usser\n usser = input('Introduce un usuario : ')\n if len(usser) < 5 or len(usser) > 15:\n print('El usuario debe tener entre 5 y 15 caracteres'... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def run_test(file_name, capture_stdout=True, allure_dir=None):
cmd = [file_name, '-vvv']
if capture_stdout:
cmd.append('-s')
test_name = os.path.splitext(os.path.basename(file_name))[0]
alluredir = os.pat... | flexible | {
"blob_id": "7e7a50cb8e66a71c1df2d61241f8a55c042b7d59",
"index": 2664,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef run_test(file_name, capture_stdout=True, allure_dir=None):\n cmd = [file_name, '-vvv']\n if capture_stdout:\n cmd.append('-s')\n test_name = os.path.splitext(os.pa... | [
0,
1,
2,
3
] |
#2) write a program to make banking system develop business logic
#in one module and call functionality in another .py file
class Customer: #user defined class
def __init__(self,name,phoneno,address,pin,accno,balance) : #constructor with multiple arguments
self._name=name
self._pno=phoneno
... | normal | {
"blob_id": "cf5a9b8dad5a02610fa5ce2a849b6f9fc50a0aa8",
"index": 1872,
"step-1": "class Customer:\n\n def __init__(self, name, phoneno, address, pin, accno, balance):\n self._name = name\n self._pno = phoneno\n self._add = address\n self._pin = pin\n self._acc = accno\n ... | [
5,
6,
7,
8,
9
] |
my_dict = {'one': '1', 'two': '2'}
for key in my_dict:
print('{} - {}'.format(key, my_dict[key]))
| normal | {
"blob_id": "1d524312cbd3b735850046131f31c03fdfa90bbc",
"index": 483,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor key in my_dict:\n print('{} - {}'.format(key, my_dict[key]))\n",
"step-3": "my_dict = {'one': '1', 'two': '2'}\nfor key in my_dict:\n print('{} - {}'.format(key, my_dict[key]))... | [
0,
1,
2
] |
#!/usr/bin/env python
# KMeans
# 参考 https://qiita.com/g-k/items/0d5d22a12a4507ecbf11
#
# データを適当なクラスタに分けた後、クラスタの平均を用いてうまい具合にデータがわかれるように調整させていくアルゴリズム
# 任意の指定のk個のクラスタを作成するアルゴリズムであることから、k-means法(k点平均法と呼ばれている)
# k-meansの初期値選択の弱点を解消したのが、k-means++
# k-means++では、中心点が互いに遠いところに配置されるような確率が高くなるように操作する。
# 教師なし学習のアルゴ... | normal | {
"blob_id": "10bf7959f178d3b5c0ce6e97253e665d32363af7",
"index": 6015,
"step-1": "<mask token>\n\n\ndef kmeansplus(X, K, n_iter):\n n = X.shape[0]\n idx = np.zeros(X.shape[0])\n distance = np.zeros(n * K).reshape(n, K)\n centers = np.zeros(X.shape[1] * K).reshape(K, -1)\n pr = np.repeat(1 / n, n)\... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
hiddenimports = ['sklearn.utils.sparsetools._graph_validation',
'sklearn.utils.sparsetools._graph_tools', 'sklearn.utils.lgamma',
'sklearn.utils.weight_vector']
datas = collect_data_files('sklearn')
<|reserved_special_to... | flexible | {
"blob_id": "12396130dc52866cc54d6dc701cf0f9a41a168b6",
"index": 8351,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nhiddenimports = ['sklearn.utils.sparsetools._graph_validation',\n 'sklearn.utils.sparsetools._graph_tools', 'sklearn.utils.lgamma',\n 'sklearn.utils.weight_vector']\ndatas = collect... | [
0,
1,
2
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
if x == 'Y' or x == 'N' or x == 'Q':
while x == 'Y' or x == 'N' or x == 'Q':
if x == 'Q':
print('Exiting the Program')
import sys
sys.exit()
elif x == 'N':
print(... | flexible | {
"blob_id": "7dff15a16ecc3ce3952f4b47290393ea3183807f",
"index": 4414,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nif x == 'Y' or x == 'N' or x == 'Q':\n while x == 'Y' or x == 'N' or x == 'Q':\n if x == 'Q':\n print('Exiting the Program')\n import sys\n sys.... | [
0,
1,
2,
3
] |
# -*- coding: utf-8 -*-
from flask import Blueprint, render_template, redirect, url_for, flash
import subprocess
def check_output(*args):
return subprocess.Popen(*args, stdout=subprocess.PIPE).communicate()[0]
mod = Blueprint('system', __name__)
@mod.route('/')
def index():
uptime = check_output(["uptime"])
... | normal | {
"blob_id": "e056a1600b620519e729c597dcec57793284019a",
"index": 1470,
"step-1": "<mask token>\n\n\n@mod.route('/shutdown')\ndef shutdown():\n flash(\n 'Shutting down.<br>When the LEDs on the board stop flashing, it should be safe to unplug your Raspberry Pi.'\n )\n subprocess.call(['sudo... | [
1,
4,
5,
6,
7
] |
#!/usr/bin/env python
import sys
import json
import time
import random
import pathlib
import argparse
import subprocess
proc = None
def get_wallpaper(FOLDER):
files = [path for path in pathlib.Path(FOLDER).iterdir()
if path.is_file()]
return random.choice(files)
def get_outputs():
cmd = ... | normal | {
"blob_id": "46b1991bba83968466390d306a4415b362b6a868",
"index": 3140,
"step-1": "<mask token>\n\n\ndef get_outputs():\n cmd = ['swaymsg', '-t', 'get_outputs']\n proc_result = subprocess.run(cmd, capture_output=True).stdout.decode()\n proc_json = json.loads(proc_result)\n return [output['name'] for o... | [
1,
2,
3,
5,
6
] |
# Developed by Lorenzo Mambretti, Justin Wang
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://github.com/jtwwang/hanabi/blob/master/LICENSE
#
# Unless required by applic... | normal | {
"blob_id": "bbd5eb1f80843efdd2709aa19a65bf325a88f473",
"index": 8856,
"step-1": "<mask token>\n\n\ndef model_crossover(weights1, weights2):\n new_weights = []\n assert len(weights1) == len(weights2)\n if random.uniform(0, 1) > 0.3:\n print('crossover')\n for layer in range(len(weights1)):... | [
3,
4,
5,
6,
7
] |
import numpy as np
# Read in training data and labels
# Some useful parsing functions
# male/female -> 0/1
def parseSexLabel(string):
if (string.startswith('male')):
return 0
if (string.startswith('female')):
return 1
print("ERROR parsing sex from " + string)
# child/teen/adult/senior ->... | normal | {
"blob_id": "6822a0a194e8b401fecfed2b617ddd5489302389",
"index": 4718,
"step-1": "<mask token>\n\n\ndef parseSexLabel(string):\n if string.startswith('male'):\n return 0\n if string.startswith('female'):\n return 1\n print('ERROR parsing sex from ' + string)\n\n\n<mask token>\n\n\ndef pars... | [
2,
3,
4,
5,
7
] |
#coding: utf-8
"""
1) Encontre em um texto os nomes próprios e os retorne em uma lista. Utilize o Regex (‘import re’) e a função findall(). Na versão básica, retorne todas as palavras que iniciam com maiúscula.
2) Apresente um plot de alguns segundos dos dados de acelerômetro do dataset:
https://archive.ics.uci.edu/... | normal | {
"blob_id": "d95d899c6eae5a90c90d3d920ee40b38bf304805",
"index": 532,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nif __name__ == '__main__':\n pass\n",
"step-3": "#coding: utf-8\n\"\"\" \n1) Encontre em um texto os nomes próprios e os retorne em uma lista. Utilize o Regex (‘import re’) e a função... | [
0,
1,
2
] |
# 导包
from time import sleep
from selenium import webdriver
# 实例化浏览器
driver = webdriver.Firefox()
# 打开页面
driver.get(r"F:\BaiduYunDownload\webdriverspace\sources\注册实例.html")
driver.maximize_window()
sleep(2)
# 定位注册A按钮并点击
driver.find_element_by_link_text("注册A网页").click()
# 获取当前敞口句柄
current_handle = driver.current_windo... | normal | {
"blob_id": "f73a316b6020908472e35a7b78959a9bda6e8e56",
"index": 7810,
"step-1": "<mask token>\n",
"step-2": "<mask token>\ndriver.get('F:\\\\BaiduYunDownload\\\\webdriverspace\\\\sources\\\\注册实例.html')\ndriver.maximize_window()\nsleep(2)\ndriver.find_element_by_link_text('注册A网页').click()\n<mask token>\nprint(... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def solution(mon: int, day: int) ->str:
return date(2016, mon, day).strftime('%a').upper()
<|reserved_special_token_1|>
from datetime import date
def solution(mon: int, day: int) ->str:
return date(2016, mon, day).s... | flexible | {
"blob_id": "67385d6d58cc79037660be546d41ea9ba1f790fa",
"index": 5043,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef solution(mon: int, day: int) ->str:\n return date(2016, mon, day).strftime('%a').upper()\n",
"step-3": "from datetime import date\n\n\ndef solution(mon: int, day: int) ->str:... | [
0,
1,
2,
3
] |
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