code stringlengths 13 6.09M | order_type stringclasses 2
values | original_example dict | step_ids listlengths 1 5 |
|---|---|---|---|
import pandas as pd
import matplotlib.pyplot as plt
plt.rcParams['font.sans-serif'] = ['SimHei']
def get_ratings(file_path):
# 图书的ISBN中可能包含字符，所以在使用pandas读取文件时，需要指定编码
ratings = pd.read_table(file_path, header=0,
sep=';', encoding='ISO-8859-1')
print('前5条数据：\n{}\n'.format(rating... | normal | {
"blob_id": "be5178f013e639d5179ed1af380dd7a63044bff2",
"index": 5636,
"step-1": "<mask token>\n\n\ndef get_ratings(file_path):\n ratings = pd.read_table(file_path, header=0, sep=';', encoding='ISO-8859-1'\n )\n print('前5条数据：\\n{}\\n'.format(ratings.head(5)))\n print('总的数据条数：\\n{}\\n'.format(rati... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
def sumIntervals(input):
interval = set()
if len(input) > 0:
for data in input:
if len(data) == 2 and data[0] < data[1]:
for i in range(data[0], data[1]):
interval.add(i)
else:
... | flexible | {
"blob_id": "25434fccff4401df2cebc9b0c4d0231f056b4e81",
"index": 6346,
"step-1": "<mask token>\n",
"step-2": "def sumIntervals(input):\n interval = set()\n if len(input) > 0:\n for data in input:\n if len(data) == 2 and data[0] < data[1]:\n for i in range(data[0], data[1]... | [
0,
1,
2
] |
import tensorflow as tf
import random
from tqdm import tqdm
import spacy
import ujson as json
from collections import Counter
import numpy as np
import os.path
nlp = spacy.blank("en")
def word_tokenize(sent):
doc = nlp(sent)
return [token.text for token in doc]
def convert_idx(text, tokens):
current = ... | normal | {
"blob_id": "5cd9d4fe9889c4d53b50d86fa78ae84d0c242536",
"index": 3693,
"step-1": "<mask token>\n\n\ndef convert_idx(text, tokens):\n current = 0\n spans = []\n for token in tokens:\n current = text.find(token, current)\n if current < 0:\n print('Token {} cannot be found'.format(... | [
5,
6,
7,
8,
10
] |
<|reserved_special_token_0|>
def issCheck():
for i in column.keys():
for x in column[i]:
if i == 'Date':
issNow = x
if issNow == timeNow:
client.send_message('ISS is over London: ' + x, title='ISS'
)
el... | flexible | {
"blob_id": "a573c6870392024ec2e84571ccb0bad3f5c4033a",
"index": 4261,
"step-1": "<mask token>\n\n\ndef issCheck():\n for i in column.keys():\n for x in column[i]:\n if i == 'Date':\n issNow = x\n if issNow == timeNow:\n client.send_message('I... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
def group(arr):
low, mid, high = 0, 0, len(arr) - 1
while mid <= high:
print(arr)
if arr[mid] == 'R':
arr[low], arr[mid] = arr[mid], arr[low]
low += 1
mid += 1
elif arr[mid] == 'G':
... | flexible | {
"blob_id": "8ad47bf292e0046550cc0ef6f6bb75cf179ebd4b",
"index": 7477,
"step-1": "<mask token>\n",
"step-2": "def group(arr):\n low, mid, high = 0, 0, len(arr) - 1\n while mid <= high:\n print(arr)\n if arr[mid] == 'R':\n arr[low], arr[mid] = arr[mid], arr[low]\n low +... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
class Migration(migrations.Migration):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def reverse_func(apps, schema_editor):
""" No need to do anything since the table is... | flexible | {
"blob_id": "a4b61a5a79e314e56ba25c6e2e735bd2ee4ef0d3",
"index": 4551,
"step-1": "<mask token>\n\n\nclass Migration(migrations.Migration):\n <mask token>\n <mask token>\n <mask token>\n",
"step-2": "<mask token>\n\n\ndef reverse_func(apps, schema_editor):\n \"\"\" No need to do anything since the t... | [
1,
3,
4,
5,
6
] |
#+++++++++++++++++++exp.py++++++++++++++++++++
#!/usr/bin/python
# -*- coding:utf-8 -*-
#Author: Squarer
#Time: 2020.11.15 20.20.51
#+++++++++++++++++++exp.py++++++++++++++++++++
from pwn import*
#context.log_level = 'debug'
context.arch = 'amd64'
elf = ELF('./npuctf_2020_easyheap')
libc = ... | normal | {
"blob_id": "eeedf4930a7fa58fd406a569db6281476c2e3e35",
"index": 4870,
"step-1": "<mask token>\n\n\ndef add(size, cont):\n sh.sendlineafter('Your choice :', '1')\n sh.sendlineafter('Size of Heap(0x10 or 0x20 only) : ', str(size))\n sh.sendlineafter('Content:', str(cont))\n\n\ndef edit(index, cont):\n ... | [
4,
6,
7,
8,
9
] |
<|reserved_special_token_0|>
def dadata_clean(method, data):
return dadata_proxy.dadata_clean(method, data)
def get_detailed_address(address):
from fw.utils.address_utils import get_detailed_address as _get_detailed_address
return _get_detailed_address(address)
def dadata_standardize_address(address):... | flexible | {
"blob_id": "af4d2380f92ea636594695e5ad4ba766d6874dd3",
"index": 1355,
"step-1": "<mask token>\n\n\ndef dadata_clean(method, data):\n return dadata_proxy.dadata_clean(method, data)\n\n\ndef get_detailed_address(address):\n from fw.utils.address_utils import get_detailed_address as _get_detailed_address\n ... | [
9,
11,
12,
13,
14
] |
class Solution:
def searchRange(self, nums: List[int], target: int) ->List[int]:
res = [-1, -1]
def binary_serach(left, right, target, res):
if left >= right:
return
mid = (left + right) // 2
if nums[mid] == target:
if res[0] == -... | normal | {
"blob_id": "18b82f83d3bf729eadb2bd5a766f731a2c54a93b",
"index": 1607,
"step-1": "<mask token>\n",
"step-2": "class Solution:\n <mask token>\n",
"step-3": "class Solution:\n\n def searchRange(self, nums: List[int], target: int) ->List[int]:\n res = [-1, -1]\n\n def binary_serach(left, rig... | [
0,
1,
2
] |
# -*- coding: utf-8 -*-
# Generated by Django 1.10.4 on 2016-12-29 03:38
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('django_otp', '0001_initial'),
]
operations = [
migrations.AddField(
... | normal | {
"blob_id": "d45ca839a24093266c48e5f97164b160190b154d",
"index": 2133,
"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 = [('django_otp'... | [
0,
1,
2,
3,
4
] |
import argparse
import subprocess
import os
def get_files(dir_path, ext='.png'):
relative_paths = os.listdir(dir_path)
relative_paths = list(filter(lambda fp: ext in fp, relative_paths))
return list(map(lambda rel_p: os.path.join(dir_path, rel_p), relative_paths))
def ipfs_add_local(file_path):
'Ret... | normal | {
"blob_id": "7ca88d451ad702e5a8e532da3e3f5939cfaa7215",
"index": 9571,
"step-1": "<mask token>\n\n\ndef ipfs_add_local(file_path):\n \"\"\"Returns CID\"\"\"\n proc = subprocess.run(['ipfs', 'add', file_path], capture_output=True,\n text=True)\n stdout = proc.stdout\n try:\n return stdou... | [
2,
3,
4,
5,
6
] |
<|reserved_special_token_0|>
class RMSprop(object):
def __init__(self, n_in, n_hid, n_out, regularization_coe):
self.nn = Feed_Forward(n_in, n_hid, n_out, regularization_coe)
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_1|>
... | flexible | {
"blob_id": "f971302f39149bcdcbe4237cc71219572db600d4",
"index": 8720,
"step-1": "<mask token>\n\n\nclass RMSprop(object):\n\n def __init__(self, n_in, n_hid, n_out, regularization_coe):\n self.nn = Feed_Forward(n_in, n_hid, n_out, regularization_coe)\n <mask token>\n <mask token>\n <mask toke... | [
2,
4,
5,
6,
7
] |
<|reserved_special_token_0|>
def bootstrap_p_value(bootstrap_stats, stat_value):
"""
Calculate the p-value for the statistic's value given the bootstrap values.
"""
return 1.0 - bisect.bisect_left(bootstrap_stats, stat_value) / float(len
(bootstrap_stats))
<|reserved_special_token_1|>
<|res... | flexible | {
"blob_id": "752affdfa1481b9a19a9b7dfe76f9d5d11c80073",
"index": 4678,
"step-1": "<mask token>\n\n\ndef bootstrap_p_value(bootstrap_stats, stat_value):\n \"\"\"\n Calculate the p-value for the statistic's value given the bootstrap values.\n \"\"\"\n return 1.0 - bisect.bisect_left(bootstrap_stats, st... | [
1,
2,
3,
4,
5
] |
__author__ = 'Chitrang'
from google.appengine.api import memcache
from google.appengine.ext import db
import logging
import os
import jinja2
class User(db.Model):
id = db.StringProperty(required=True)
created = db.DateTimeProperty(auto_now_add=True)
updated = db.DateTimeProperty(auto_now=True)
name =... | normal | {
"blob_id": "0b2bc19aea9393562f79df026bc17513e25c6604",
"index": 8535,
"step-1": "<mask token>\n\n\nclass User(db.Model):\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 <mask ... | [
14,
15,
16,
17,
19
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
i = 1
<|reserved_special_token_1|>
# i change it for change1
# change 1.py in master
i = 1
# fix bug for boss
| flexible | {
"blob_id": "92f4f1c8a4e04b07ed7c05d5bb733c0b9c28bd05",
"index": 5325,
"step-1": "<mask token>\n",
"step-2": "i = 1\n",
"step-3": "# i change it for change1\n# change 1.py in master\ni = 1\n# fix bug for boss\n",
"step-4": null,
"step-5": null,
"step-ids": [
0,
1,
2
]
} | [
0,
1,
2
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def print_json(obj):
"""json格式打印信息
Args:
obj 待打印的对象信息
"""
print(json.dumps(obj, ensure_ascii=False))
def print_error(err_code, err_msg):
"""格式化打印错误信息
Args:
err_code: 错误码
err_ms... | flexible | {
"blob_id": "0b0eebd31d822ff5c1b951c3ee213f58a3a13aa0",
"index": 134,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef print_json(obj):\n \"\"\"json格式打印信息\n\n Args:\n obj 待打印的对象信息\n \"\"\"\n print(json.dumps(obj, ensure_ascii=False))\n\n\ndef print_error(err_code, err_msg):\n ... | [
0,
3,
4,
5,
6
] |
from pull_links import pull_links
from scrape_lyrics import scrape_lyrics
from vader_sentiment import getSentimentScores
import sys
import os
import shutil
# Get user input for artist -> capitalize it
artist = sys.argv[1].title()
pull_links(artist)
# Dictionary w/ song name as key and lyrics as value
lyrics = scrape_... | normal | {
"blob_id": "5055743c9ed8c92bcfab5379162f28315409ff91",
"index": 2200,
"step-1": "<mask token>\n",
"step-2": "<mask token>\npull_links(artist)\n<mask token>\nos.remove('./links.json')\nshutil.rmtree('./songs')\n<mask token>\nfor song in sentimentScores:\n print(song + ': ')\n print(sentimentScores[song])... | [
0,
1,
2,
3,
4
] |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import time
import random
import sys
def sequential_search(my_list, search_elt):
found = False
start_time = time.time()
for elt in my_list:
if search_elt == elt:
found = True
break
return (time.time() - start_time), found
def ordered_sequential_... | normal | {
"blob_id": "f3a34d1c37165490c77ccd21f428718c8c90f866",
"index": 4057,
"step-1": "<mask token>\n\n\ndef sequential_search(my_list, search_elt):\n found = False\n start_time = time.time()\n for elt in my_list:\n if search_elt == elt:\n found = True\n break\n return time.ti... | [
6,
7,
9,
10,
11
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
@click.command()
@click.argument('command', nargs=1, required=True)
@click.pass_obj
def run(meg: Megalus, command: str) ->None:
"""Run selected script.
:param meg: Megalus instance
:param command: command/script to ... | flexible | {
"blob_id": "23a4ca8eec50e6ab72be3f1b1077c61f676b3cce",
"index": 5777,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\n@click.command()\n@click.argument('command', nargs=1, required=True)\n@click.pass_obj\ndef run(meg: Megalus, command: str) ->None:\n \"\"\"Run selected script.\n\n :param meg: M... | [
0,
1,
2,
3
] |
import os, copy
from a import Moon, updateOneMoon, updateAllMoons
file_path = os.path.dirname(os.path.realpath(__file__))
input_path = file_path + "/b.in.txt"
inpt = open(input_path, 'r')
moons = []
for line in inpt:
new_moon = Moon(line)
moons.append(new_moon)
initial_moon_position = copy.deepcopy(moons)... | normal | {
"blob_id": "1f114b4716a44f5370495297511c305ecbb680c3",
"index": 7556,
"step-1": "import os, copy\nfrom a import Moon, updateOneMoon, updateAllMoons\n\nfile_path = os.path.dirname(os.path.realpath(__file__))\n\ninput_path = file_path + \"/b.in.txt\"\n\ninpt = open(input_path, 'r')\n\nmoons = []\n\nfor line in in... | [
0
] |
from collections import Counter
class Solution:
def minDominoRotations(self, A: List[int], B: List[int]) ->int:
if not A or not B:
return 0
if len(A) != len(B):
return -1
cnt_a, cnt_b = Counter(A), Counter(B)
check_list = []
for num, freq in cnt_a.i... | normal | {
"blob_id": "069d85370d8358aa884b5195a1b52c0014efd161",
"index": 7637,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass Solution:\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass Solution:\n\n def minDominoRotations(self, A: List[int], B: List[int]) ->int:\n if not A or not B:... | [
0,
1,
2,
3
] |
/usr/local/python-3.6/lib/python3.6/abc.py | normal | {
"blob_id": "32d830f00a9d33b8f7f438c14b522ef186001bf3",
"index": 9392,
"step-1": "/usr/local/python-3.6/lib/python3.6/abc.py",
"step-2": null,
"step-3": null,
"step-4": null,
"step-5": null,
"step-ids": [
0
]
} | [
0
] |
import kwic
mystr = "hello world\nmy test\napples oranges"
#asseirt(kwic0.kwic(mystr) == [])
#assert(kwic1.kwic(mystr) == [mystr])
#assert(len(kwic3.kwic(mystr))==2)
assert len(kwic.kwic(mystr)) == 3
| normal | {
"blob_id": "1f21fdc9a198b31bb0d5bd6dd8f46a1b3b28ec94",
"index": 6773,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nassert len(kwic.kwic(mystr)) == 3\n",
"step-3": "<mask token>\nmystr = \"\"\"hello world\nmy test\napples oranges\"\"\"\nassert len(kwic.kwic(mystr)) == 3\n",
"step-4": "import kwic\n... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
def get_reference():
json = sorted([os.path.join(args.ref, file) for file in os.listdir(args
.ref) if file.endswith('.json')])[0]
smap = simple_map.SimpleMap(json)
return smap.northing, smap.easting
<|reserved_special_token_0|>
def main():
jsons = sorted([os.pa... | flexible | {
"blob_id": "a8c59f97501b3f9db30c98e334dbfcffffe7accd",
"index": 6557,
"step-1": "<mask token>\n\n\ndef get_reference():\n json = sorted([os.path.join(args.ref, file) for file in os.listdir(args\n .ref) if file.endswith('.json')])[0]\n smap = simple_map.SimpleMap(json)\n return smap.northing, sma... | [
2,
3,
5,
6,
7
] |
# Definition for a binary tree node
# class TreeNode:
# def __init__(self, x):
# self.val = x
# self.left = None
# self.right = None
class Solution:
# @param root, a tree node
# @return an integer
sum = 0
def sumNumbers(self, root):
def dfs(root,sofar):
... | normal | {
"blob_id": "e6ac742eb74d5d18e4c304a8ea1331e7e16e403d",
"index": 2317,
"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 sumNumbers(self, root):\n\n def dfs(root, sofar):\n if root.left is N... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
def corec_unlock(lock):
locks_fn = 'corec_locks.json'
with open(locks_fn) as f:
locks = json.load(f)
locks[lock] = False
with open(locks_fn, 'w') as f:
json.dump(locks, f, indent=4)
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def corec_se... | flexible | {
"blob_id": "88b3dd7414a68de65bafb317fbd4da2b1bc933fc",
"index": 991,
"step-1": "<mask token>\n\n\ndef corec_unlock(lock):\n locks_fn = 'corec_locks.json'\n with open(locks_fn) as f:\n locks = json.load(f)\n locks[lock] = False\n with open(locks_fn, 'w') as f:\n json.dump(locks, f, inde... | [
1,
3,
4,
5,
6
] |
# 30 - Faça um programa que receba três números e mostre - os em ordem crescentes.
n1 = int(input("Digite o primeiro número: "))
n2 = int(input("Digite o segundo número: "))
n3 = int(input("Digite o terceiro número: "))
if n1 <= n2 and n2 <= n3:
print(f'A ordem crescente é {n1}, {n2}, {n3}')
elif n1 <= n3 and n3 ... | normal | {
"blob_id": "09712a397ad7915d9865b4aebf16606f85988f67",
"index": 2737,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nif n1 <= n2 and n2 <= n3:\n print(f'A ordem crescente é {n1}, {n2}, {n3}')\nelif n1 <= n3 and n3 <= n2:\n print(f'A ordem crescente é {n1}, {n3}, {n2}')\nelif n2 <= n1 and n1 <= n3:... | [
0,
1,
2,
3
] |
print(1)
print(2)
print("Jenkins")
print("Jenkins2")
print("Jenkins3")
print("Jenkins44")
print("Jenkins55khlk")
print("3333333")
print("44444444")
print("jhjhj")
| normal | {
"blob_id": "77a82f99ab10e3d53e3f8466d43b67e8b87c1588",
"index": 2418,
"step-1": "<mask token>\n",
"step-2": "print(1)\nprint(2)\nprint('Jenkins')\nprint('Jenkins2')\nprint('Jenkins3')\nprint('Jenkins44')\nprint('Jenkins55khlk')\nprint('3333333')\nprint('44444444')\nprint('jhjhj')\n",
"step-3": "print(1)\npr... | [
0,
1,
2
] |
from django.apps import AppConfig
class ScambioConfig(AppConfig):
name = 'scambio'
| normal | {
"blob_id": "b091d00f5b5e997de87b36adbe9ce603a36ca49c",
"index": 3347,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass ScambioConfig(AppConfig):\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass ScambioConfig(AppConfig):\n name = 'scambio'\n",
"step-4": "from django.apps import App... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
with open('sub.json', 'r') as subject_file:
subjects = json.load(subject_file)
print(json.dumps(subjects, separators=(',', ':')))
<|reserved_special_token_1|>
<|reserved_special_token_0|>
subjects = []
with open('sub.json',... | flexible | {
"blob_id": "98bd4eb25a76fb9184f9abfcb920a6fbe46b9394",
"index": 631,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nwith open('sub.json', 'r') as subject_file:\n subjects = json.load(subject_file)\nprint(json.dumps(subjects, separators=(',', ':')))\n",
"step-3": "<mask token>\nsubjects = []\nwith o... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
print('Perimeter is ' + str(perimeter) + ', Area is ' + str(area))
<|reserved_special_token_1|>
<|reserved_special_token_0|>
x, y = 2.4, 6.4
perimeter = x * 2 + y * 2
area = x * y
print('Perimeter is ' + str(perimeter) + ', Are... | flexible | {
"blob_id": "a7de079866d7ac80260b438043cf0403f598cebc",
"index": 5091,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint('Perimeter is ' + str(perimeter) + ', Area is ' + str(area))\n",
"step-3": "<mask token>\nx, y = 2.4, 6.4\nperimeter = x * 2 + y * 2\narea = x * y\nprint('Perimeter is ' + str(per... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
class AngelBankAccount(BankAccount):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
class TroublemakerBankAccount(BankAccount):
"""
This bank account is designed for Troublemaker children. These
children often find themselves in trouble. These are usually ... | flexible | {
"blob_id": "830ae4b6a6b2c4e1bbe6928b3a4b0be86d2ec7a3",
"index": 3743,
"step-1": "<mask token>\n\n\nclass AngelBankAccount(BankAccount):\n <mask token>\n <mask token>\n\n\nclass TroublemakerBankAccount(BankAccount):\n \"\"\"\n This bank account is designed for Troublemaker children. These\n childr... | [
12,
17,
20,
25,
28
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def range(state):
ran = state['tmp']['analysis']['range']
rang = {key: [state['rank'][i] for i in val & ran] for key, val in
state['tmp']['analysis']['keys'].items() if val & ran}
for item in state['tmp']['it... | flexible | {
"blob_id": "51868f26599c5878f8eb976d928c30d0bf61547d",
"index": 9701,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef range(state):\n ran = state['tmp']['analysis']['range']\n rang = {key: [state['rank'][i] for i in val & ran] for key, val in\n state['tmp']['analysis']['keys'].items(... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
def get_by_id(id, lista):
"""
ia vanzarea cu id-ul dat dintr-o lista
:param id: id-ul vanzarii - string
:param lista: lista de vanzari
:return: vanzarea cu id-ul dat sau None daca nu exista in lista
"""
for vanzare in lista:
if get_id(vanzare) == id:
... | flexible | {
"blob_id": "498d07421d848332ad528ef3d3910d70312b5f55",
"index": 2606,
"step-1": "<mask token>\n\n\ndef get_by_id(id, lista):\n \"\"\"\n ia vanzarea cu id-ul dat dintr-o lista\n :param id: id-ul vanzarii - string\n :param lista: lista de vanzari\n :return: vanzarea cu id-ul dat sau None daca nu ex... | [
4,
5,
6,
7,
8
] |
"""Initial migration
Revision ID: 1f2296edbc75
Revises: 7417382a3f1
Create Date: 2014-01-19 23:04:58.877817
"""
# revision identifiers, used by Alembic.
revision = '1f2296edbc75'
down_revision = '7417382a3f1'
from alembic import op
import sqlalchemy as sa
from sqlalchemy.dialects import postgresql
from sqlalchemy i... | normal | {
"blob_id": "7df55853d0f4f1bf56512c4427d7f91e9c1f2279",
"index": 6524,
"step-1": "<mask token>\n\n\ndef downgrade():\n op.drop_index('ix_ballot_measure_tags_ballot_measure_id',\n 'ballot_measure_tags')\n op.drop_index('ix_ballot_measure_tags_tag_id', 'ballot_measure_tags')\n op.drop_table(u'ballo... | [
1,
2,
3,
4,
5
] |
from Tkinter import *
import time
def create_window():
window = Toplevel(root)
w, h = root.winfo_screenwidth(), root.winfo_screenheight()
canvas = Canvas(window,width=w,height=h)
canvas.create_text(w/2,h/2,text="this will close after 3 seconds",font="Arial")
canvas.pack()
window.overrideredirec... | normal | {
"blob_id": "cac49a9a2cb753bb81c45ac1d2d887b1f48dd9bb",
"index": 9562,
"step-1": "<mask token>\n\n\ndef create_window():\n window = Toplevel(root)\n w, h = root.winfo_screenwidth(), root.winfo_screenheight()\n canvas = Canvas(window, width=w, height=h)\n canvas.create_text(w / 2, h / 2, text='this wi... | [
1,
2,
3,
4,
5
] |
def func_sum_even(n):
e_digit1=n%10
n//=10
e_digit2=n%10
e_digit3=n//10
sum_even=e_digit1*(1-e_digit1%2)+e_digit2*(1-e_digit2%2)+e_digit3*(1-e_digit3%2)
return sum_even
# n=int(input())
# print(func_sum_even(n)) | normal | {
"blob_id": "d567dfe29380a34534308446a9c8940cede84083",
"index": 7571,
"step-1": "<mask token>\n",
"step-2": "def func_sum_even(n):\n e_digit1 = n % 10\n n //= 10\n e_digit2 = n % 10\n e_digit3 = n // 10\n sum_even = e_digit1 * (1 - e_digit1 % 2) + e_digit2 * (1 - e_digit2 % 2\n ) + e_dig... | [
0,
1,
2
] |
import boto3
import json
region = 'us-east-2'
ec2 = boto3.resource('ec2',region)
ImageId = 'ami-07efac79022b86107'
KeyName = 'aws_keypair'
InstanceType = 't2.micro'
#IamInstanceProfile =
instances = ec2.create_instances(
ImageId =ImageId,
MinCount = 1,
MaxCount = 5,
KeyName = KeyName,
InstanceTyp... | normal | {
"blob_id": "b7606befe123c4fb6840a1bc62e43e6721edfcc3",
"index": 5005,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nregion = 'us-east-2'\nec2 = boto3.resource('ec2', region)\nImageId = 'ami-07efac79022b86107'\nKeyName = 'aws_keypair'\nInstanceType = 't2.micro'\ninstances = ec2.create_instances(ImageId=... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
def make_word(user_input):
word = ''
for letter in user_input:
letter = letter.lower()
if letter == 'c':
word += random.choice(consonants)
elif letter == 'v':
word += random.choice(vowels)
elif letter.isspace():
w... | flexible | {
"blob_id": "a4f4137b9310ebc68515b9cae841051eda1f0360",
"index": 3522,
"step-1": "<mask token>\n\n\ndef make_word(user_input):\n word = ''\n for letter in user_input:\n letter = letter.lower()\n if letter == 'c':\n word += random.choice(consonants)\n elif letter == 'v':\n ... | [
1,
2,
4,
5,
6
] |
print(1/2 * 2) # division ret
| normal | {
"blob_id": "2c1e51f2c392e77299463d95a2277b3d2ca7c299",
"index": 4336,
"step-1": "<mask token>\n",
"step-2": "print(1 / 2 * 2)\n",
"step-3": "print(1/2 * 2) # division ret\n",
"step-4": null,
"step-5": null,
"step-ids": [
0,
1,
2
]
} | [
0,
1,
2
] |
import pandas
import evaluation
import sys
sys.path.append('D:\\libs\\xgboost\\wrapper')
import xgboost as xgb
# Read training data
folder = '../data/'
train = pandas.read_csv(folder + 'training.csv', index_col='id')
# Define features to drop from train data
# variables_to_drop = ['mass', 'production', 'min_ANNmuon'... | normal | {
"blob_id": "a6365104125725f11010c35eb0781c941de803f8",
"index": 7172,
"step-1": "import pandas\nimport evaluation\nimport sys\n\nsys.path.append('D:\\\\libs\\\\xgboost\\\\wrapper')\nimport xgboost as xgb\n\n# Read training data\nfolder = '../data/'\ntrain = pandas.read_csv(folder + 'training.csv', index_col='id... | [
0
] |
# -*- coding:utf-8 -*-
'''
@author:oldwai
'''
# email: frankandrew@163.com
def multipliers():
return lab1(x)
def lab1(x):
list1 = []
for i in range(4):
sum = x*i
list1.append(sum)
return list1
#print ([m(2) for m in multipliers()])
def func1(x):
list2 = []
... | normal | {
"blob_id": "807e19f09f4a46b6c39457b8916714e2c54c3e8d",
"index": 5802,
"step-1": "<mask token>\n\n\ndef lab1(x):\n list1 = []\n for i in range(4):\n sum = x * i\n list1.append(sum)\n return list1\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\ndef lab1(x):\n list1 = []\n for i i... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
@app.route('/')
def hello_world():
return 'Hello Waeweorld!'
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
if not os.path.exists(dbDir):
db.create_all()
@app.route('/')
def hello_world():
return 'Hello Waeweorld!'
if __name__ =... | flexible | {
"blob_id": "71cee06ce697030fd0cea363ddecaa411b39544d",
"index": 4330,
"step-1": "<mask token>\n\n\n@app.route('/')\ndef hello_world():\n return 'Hello Waeweorld!'\n\n\n<mask token>\n",
"step-2": "<mask token>\nif not os.path.exists(dbDir):\n db.create_all()\n\n\n@app.route('/')\ndef hello_world():\n ... | [
1,
2,
3,
4,
5
] |
#!/usr/bin/python
import operator
import cgi, sys, LINK_HEADERS
import simplejson as json
from datetime import datetime
from dateutil import tz
from decimal import *
sys.path.insert(0, str(LINK_HEADERS.DAO_LINK))
from transaction_dao import Transaction_dao
from user_portfolio_dao import User_portfolio_dao
from user_st... | normal | {
"blob_id": "4264cba9a6c39219d21bd21d4b21009bacd1db38",
"index": 61,
"step-1": "#!/usr/bin/python\n\nimport operator\nimport cgi, sys, LINK_HEADERS\nimport simplejson as json\nfrom datetime import datetime\nfrom dateutil import tz\nfrom decimal import *\nsys.path.insert(0, str(LINK_HEADERS.DAO_LINK))\nfrom trans... | [
0
] |
<|reserved_special_token_0|>
@app.route('/guess/<name>')
def guesser(name):
person = Person(name=name)
return render_template('guess.html', name=person.name, gender=person.
gender, age=person.age, country=person.country)
<|reserved_special_token_0|>
@app.route('/post/<int:id>')
def blog_post(id):
... | flexible | {
"blob_id": "895ece0b8d45cd64e43f8ddc54824f7647254185",
"index": 2547,
"step-1": "<mask token>\n\n\n@app.route('/guess/<name>')\ndef guesser(name):\n person = Person(name=name)\n return render_template('guess.html', name=person.name, gender=person.\n gender, age=person.age, country=person.country)\n... | [
2,
5,
6,
7,
8
] |
<|reserved_special_token_0|>
class xmlSp:
def addNode(self, parentNode, childNode):
parentNode.append(childNode)
def createChildNode(self, key, value, propertyMap={}):
element = Element(key, propertyMap)
element.text = value
return element
<|reserved_special_token_0|>
... | flexible | {
"blob_id": "0470f98247f8f835c0c052b01ddd7f1f7a515ab5",
"index": 5509,
"step-1": "<mask token>\n\n\nclass xmlSp:\n\n def addNode(self, parentNode, childNode):\n parentNode.append(childNode)\n\n def createChildNode(self, key, value, propertyMap={}):\n element = Element(key, propertyMap)\n ... | [
12,
13,
15,
16,
18
] |
<|reserved_special_token_0|>
class FloatVector3InputWidget(InputWidgetRaw, FloatVector3InputWidget_ui.
Ui_Form):
<|reserved_special_token_0|>
def __init__(self, **kwds):
super(FloatVector3InputWidget, self).__init__(**kwds)
self.setupUi(self)
self._configSpinBoxes()
self.d... | flexible | {
"blob_id": "023dc23a5e649c2fbbb45ff577dffa3b5d2aac64",
"index": 7904,
"step-1": "<mask token>\n\n\nclass FloatVector3InputWidget(InputWidgetRaw, FloatVector3InputWidget_ui.\n Ui_Form):\n <mask token>\n\n def __init__(self, **kwds):\n super(FloatVector3InputWidget, self).__init__(**kwds)\n ... | [
59,
60,
62,
81,
103
] |
from dataframe import *
from chaid import SuperCHAID, SuperCHAIDVisualizer
supernode_features = [manufacturing_region]
features_list = [customer_region, product_family, make_vs_buy]
dependant_variable = gm
super_tree = SuperCHAID(supernode_features, features_list, dependant_variable)
super_tree.fit(df)
visualizer = ... | normal | {
"blob_id": "0a42c54ef1412b7f3b8e95da1d65ee05dfa14089",
"index": 9709,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nsuper_tree.fit(df)\n<mask token>\nvisualizer.export('tree')\n<mask token>\nprint(input_row[supernode_features + features_list])\nprint()\n<mask token>\nif result is not None:\n segment... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
def xor_encryption(source, destination, key):
"""
Returns text encrypted or decrypted with xor
Keyword arguments:
source - path to file with text to be encrypted
destination - path to the file where you want to save the result
key - encryption key
"""
text... | flexible | {
"blob_id": "81774d3b4d9fbf22ed19e1cba7ec5e8e3707f51a",
"index": 2076,
"step-1": "<mask token>\n\n\ndef xor_encryption(source, destination, key):\n \"\"\"\n Returns text encrypted or decrypted with xor\n\n Keyword arguments:\n source - path to file with text to be encrypted\n destination - path to... | [
1,
2,
3,
4,
5
] |
salario = float(input('Qual o valor do seu Salario atual? R$ '))
novo = salario + (salario * 15 / 100)
print('Um funcioario que ganhava R$ {:.2f} com o aumento de 15% passa a ganhar R$ {:.2f}'.format(salario, novo)) | normal | {
"blob_id": "ffcd3c0086ff73eb722d867b335df23382615d20",
"index": 1657,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(\n 'Um funcioario que ganhava R$ {:.2f} com o aumento de 15% passa a ganhar R$ {:.2f}'\n .format(salario, novo))\n",
"step-3": "salario = float(input('Qual o valor do seu Sa... | [
0,
1,
2,
3
] |
def find_happy_number(num):
slow, fast = num, num
while True:
slow = find_square_sum(slow) # move one step
fast = find_square_sum(find_square_sum(fast)) # move two steps
if slow == fast: # found the cycle
break
return slow == 1 # see if the cycle is stuck on the number '1'
def find_square_... | normal | {
"blob_id": "60b5e515c7275bfa0f79e22f54302a578c2f7b79",
"index": 728,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef find_square_sum(num):\n _sum = 0\n while num > 0:\n digit = num % 10\n _sum += digit * digit\n num //= 10\n return _sum\n\n\n<mask token>\n",
"step-... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
class TestTimeDehydration(_TestTemporalDehydrationV1):
@pytest.fixture
def hydration_handler(self):
return HydrationHandler()
<|reserved_special_token_0|>
<|reserved_special_token_0|>
def test_pandas_date_time_fixed_offset(self, assert_transforms):
dt... | flexible | {
"blob_id": "5b33615e1890631bac68801310e4b606ac41cb13",
"index": 1340,
"step-1": "<mask token>\n\n\nclass TestTimeDehydration(_TestTemporalDehydrationV1):\n\n @pytest.fixture\n def hydration_handler(self):\n return HydrationHandler()\n <mask token>\n <mask token>\n\n def test_pandas_date_ti... | [
6,
7,
8,
11,
13
] |
# Generated by Django 2.1.3 on 2019-01-02 12:08
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('leasing', '0037_make_lease_basis_of_rent_archivable'),
]
operations = [
migrations.AddField(
model_name='invoicepayment',
... | normal | {
"blob_id": "8cd290dc1e682222c97172a0f23e5b93c54838a7",
"index": 2201,
"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 = [('leasing', '... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
class V2SLClient:
<|reserved_special_token_0|>
<|reserved_special_token_0|>
def handshake(self):
encrypted_key = LOCO_PUBLICKEY.encrypt(self._aeskey, padding.OAEP(
padding.MGF1(hashes.SHA1()), hashes.SHA1(), None))
handshake_pkt = struct.pack('<III... | flexible | {
"blob_id": "db9919ab15988828d24b4430a124841f225860cc",
"index": 5764,
"step-1": "<mask token>\n\n\nclass V2SLClient:\n <mask token>\n <mask token>\n\n def handshake(self):\n encrypted_key = LOCO_PUBLICKEY.encrypt(self._aeskey, padding.OAEP(\n padding.MGF1(hashes.SHA1()), hashes.SHA1()... | [
4,
5,
6,
8,
11
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
from ._sinAction import *
from ._sinActionFeedback import *
from ._sinActionGoal import *
from ._sinActionResult import *
from ._sinFeedback import *
from ._sinGoal import *
from ._sinResult import *
| flexible | {
"blob_id": "c6b261a09b2982e17704f847586bbf38d27cb786",
"index": 353,
"step-1": "<mask token>\n",
"step-2": "from ._sinAction import *\nfrom ._sinActionFeedback import *\nfrom ._sinActionGoal import *\nfrom ._sinActionResult import *\nfrom ._sinFeedback import *\nfrom ._sinGoal import *\nfrom ._sinResult impor... | [
0,
1
] |
G = 1000000000
M = 1000000
K = 1000
| normal | {
"blob_id": "f765f54a89a98a5f61c70a37379860f170444c0a",
"index": 4069,
"step-1": "<mask token>\n",
"step-2": "G = 1000000000\nM = 1000000\nK = 1000\n",
"step-3": null,
"step-4": null,
"step-5": null,
"step-ids": [
0,
1
]
} | [
0,
1
] |
<|reserved_special_token_0|>
class TestWktEmpty:
def __init__(self, inString, expectedOutString):
self.inString = inString
self.expectedOutString = expectedOutString
def isEmpty(self, geom):
try:
ogr.Geometry.IsEmpty
except:
return 'skip'
if ge... | flexible | {
"blob_id": "1ef1dcc8fdf4d813dad70c860e33778715d51b0c",
"index": 1575,
"step-1": "<mask token>\n\n\nclass TestWktEmpty:\n\n def __init__(self, inString, expectedOutString):\n self.inString = inString\n self.expectedOutString = expectedOutString\n\n def isEmpty(self, geom):\n try:\n ... | [
5,
6,
7,
8,
9
] |
from django.urls import path
from .views.home import Home
from .views.signup import Signup
from .views.login import Login
urlpatterns = [
path('', Home.as_view(), name='home'),
path('signup', Signup.as_view(), name='signup'),
path('login', Login.as_view(), name='login'),
]
| normal | {
"blob_id": "979a387e29867818ffad7291511ff0be40dee118",
"index": 1938,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nurlpatterns = [path('', Home.as_view(), name='home'), path('signup', Signup\n .as_view(), name='signup'), path('login', Login.as_view(), name='login')]\n",
"step-3": "from django.url... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
__author__ = 'Xomak'
add_requests = Blueprint('addrequests', __name__, template_folder='templates')
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
from flask import Blueprint
__author__ =... | flexible | {
"blob_id": "d39965c3070ec25230b4d6977ff949b3db070ab6",
"index": 7399,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n__author__ = 'Xomak'\nadd_requests = Blueprint('addrequests', __name__, template_folder='templates')\n<mask token>\n",
"step-3": "<mask token>\nfrom flask import Blueprint\n__author__ =... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
if ano1 == 0 and ano2 != 0:
print('\nO ano de {} é Bissexto !!'.format(ano))
else:
print('\nO ano de {} não foi Bissexto !!'.format(ano))
<|reserved_special_token_1|>
ano = int(input('\nInforme o ano: '))
ano1 = ano % 4... | flexible | {
"blob_id": "daeb11000978d14a05ea62113dcf6e30d6a98b15",
"index": 3590,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nif ano1 == 0 and ano2 != 0:\n print('\\nO ano de {} é Bissexto !!'.format(ano))\nelse:\n print('\\nO ano de {} não foi Bissexto !!'.format(ano))\n",
"step-3": "ano = int(input('\\... | [
0,
1,
2,
3
] |
from celery.task.schedules import crontab
from celery.decorators import periodic_task
from celery.utils.log import get_task_logger
from bbapp.scripts.getScores import doScoresScrape, fixScores
logger = get_task_logger(__name__)
@periodic_task(
run_every=(crontab(minute='*/10')),
name="scrape_espn_feed",
... | normal | {
"blob_id": "a9a067ee3b176d2f2ca558b69ce2bc598bb31d22",
"index": 4501,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\n@periodic_task(run_every=crontab(minute='*/10'), name='scrape_espn_feed',\n ignore_result=True)\ndef scrape_espn_feed():\n \"\"\"\n Saves latest image from Flickr\n \"\"\"... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def split_data(data):
df = pd.read_csv(data)
ranks = df.groupby('userId')['timestamp'].rank(method='first')
counts = df['userId'].map(df.groupby('userId')['timestamp'].apply(len))
df['new_col'] = ranks / counts >... | flexible | {
"blob_id": "e3b39c6655fc14efec3b3f95b08bc7b2c036cbdc",
"index": 4117,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef split_data(data):\n df = pd.read_csv(data)\n ranks = df.groupby('userId')['timestamp'].rank(method='first')\n counts = df['userId'].map(df.groupby('userId')['timestamp'].... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
#!/usr/bin/env python
#_*_ coding:utf-8 _*_
'''
@author: tanglei
@contact: tanglei_0315@163.com
@file: index.py
@time: 2017/11/1 16:26
'''
#需求:
#1.每个客户端需要监控的服务不同
#2.每个服务的监控间隔不同
#3.允许模板的形式批量修改监控指标
#4.不同设备的监控阀值不同
#5.可自定义最近n分钟内hit\max\avg\last\... 指标超过阀值
#6.报警策略... | flexible | {
"blob_id": "886101e5d86daf6c2ac0fe92b361ccca6132b1aa",
"index": 3030,
"step-1": "<mask token>\n",
"step-2": "#!/usr/bin/env python\n#_*_ coding:utf-8 _*_\n'''\n@author: tanglei\n@contact: tanglei_0315@163.com\n@file: index.py\n@time: 2017/11/1 16:26\n'''\n#需求:\n#1.每个客户端需要监控的服务不同\n#2.每个服务的监控间隔不同\n#3.允许模板的形式批量修... | [
0,
1
] |
import socket
from Server.MachineClient.Identification import Identification
from Server.SQL import DataBase
import threading
import time
from Server.Connection.AcceptClients import Accept
from Server.Connection.ConnectionCheck import ConnectionCheck
from Server.Clients_Data import Clients
class MachineClient:
de... | normal | {
"blob_id": "ff1bb2634ffec6181a42c80a4b2a19c2c27a8f9f",
"index": 3136,
"step-1": "<mask token>\n\n\nclass MachineClient:\n\n def __init__(self, host, port):\n self.host = host\n self.port = port\n self.s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)\n self.db = DataBase(\n ... | [
5,
6,
7,
8,
9
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
for line in sys.stdin:
lower = 0
upper = 0
for x in range(0, len(line)):
if 'a' <= line[x] <= 'z':
lower = lower + 1
elif 'A' <= line[x] <= 'Z':
upper = upper + 1
if lower ==... | flexible | {
"blob_id": "4b3664153940b064b424bd77de473a6409437f88",
"index": 3279,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor line in sys.stdin:\n lower = 0\n upper = 0\n for x in range(0, len(line)):\n if 'a' <= line[x] <= 'z':\n lower = lower + 1\n elif 'A' <= line[x] <= '... | [
0,
1,
2,
3
] |
from flask import Flask, jsonify, make_response, request
app = Flask(__name__)
VERSION = (0, 1, 0)
VERSION_STRING = "{}.{}.{}".format(*VERSION)
LANG_ID = "lang.natural.english"
@app.errorhandler(404)
def not_found(error):
return make_response(jsonify({'error': 'Not found'}), 404)
@app.route("/")
def entry()... | normal | {
"blob_id": "49e1dc98ecc2e5c12c6e520721a6c0a7c2665cca",
"index": 3450,
"step-1": "<mask token>\n\n\n@app.errorhandler(404)\ndef not_found(error):\n return make_response(jsonify({'error': 'Not found'}), 404)\n\n\n<mask token>\n\n\n@app.route('/api/{}/reason/apply'.format(VERSION_STRING), methods=['GET',\n '... | [
4,
5,
9,
10,
11
] |
import os
from pathlib import Path
import shutil
from ament_index_python.packages import get_package_share_directory, get_package_prefix
import launch
import launch_ros.actions
def generate_launch_description():
cart_sdf = os.path.join(get_package_share_directory('crs_support'),
'sdf', 'cart.sdf')
car... | normal | {
"blob_id": "cc74163d5dbcc2b2ca0fe5222692f6f5e45f73fe",
"index": 2377,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef generate_launch_description():\n cart_sdf = os.path.join(get_package_share_directory('crs_support'),\n 'sdf', 'cart.sdf')\n cart_spawner = launch_ros.actions.Node(nod... | [
0,
1,
2
] |
<|reserved_special_token_0|>
@login_required
def get_verification_code(request):
"""Maybe ajaxify this in the future
"""
if request.user.get_profile().is_verified:
messages.info(request, 'Olet jo vahvistanut osoitteesi')
else:
verification_code = request.user.get_profile().gen_verifica... | flexible | {
"blob_id": "22da05d9bf6139a0306bfb2d1df96e9e2cf6a0c6",
"index": 475,
"step-1": "<mask token>\n\n\n@login_required\ndef get_verification_code(request):\n \"\"\"Maybe ajaxify this in the future\n \"\"\"\n if request.user.get_profile().is_verified:\n messages.info(request, 'Olet jo vahvistanut osoi... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
class TestColGroup(unittest.TestCase):
<|reserved_special_token_0|>
def test_col(self):
return
data = [['a', 'b', 'c'], [1, 2, 3], [4, 5, 6]]
gen = Table({'data': data, 'colgroup': {'span': 3, 'width': 100},
'attr_sort': 1})
self.assert... | flexible | {
"blob_id": "24f87bd6aab0ff65cf2153e27df31122818ad0ac",
"index": 766,
"step-1": "<mask token>\n\n\nclass TestColGroup(unittest.TestCase):\n <mask token>\n\n def test_col(self):\n return\n data = [['a', 'b', 'c'], [1, 2, 3], [4, 5, 6]]\n gen = Table({'data': data, 'colgroup': {'span': 3... | [
2,
3,
4,
5,
6
] |
# -*- coding: utf-8 -*-
import threading
import time
def work():
i = 0
while i < 10:
print 'I am working..'
time.sleep(0.5)
i += 1
t = threading.Thread(target=work)
# Daemon 설정
#t.setDaemon(True)
t.daemon = True # 혹인 이렇게도 가능
t.start()
print 'main thread finished'
| normal | {
"blob_id": "f77df47fdb72ba50331b8b5d65984efaec474057",
"index": 4049,
"step-1": "# -*- coding: utf-8 -*-\n\nimport threading\nimport time\n\ndef work():\n i = 0\n while i < 10:\n print 'I am working..'\n time.sleep(0.5)\n i += 1\n\nt = threading.Thread(target=work)\n# Daemon 설정\n#t.se... | [
0
] |
<|reserved_special_token_0|>
class SimpleSwitch(app_manager.RyuApp):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
print('PACKET_OUT...')
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class SimpleSwitch(app_manager.RyuApp):
def __init__(se... | flexible | {
"blob_id": "86d032a3cd67118eb46073c996f1c9a391f8dfe0",
"index": 1608,
"step-1": "<mask token>\n\n\nclass SimpleSwitch(app_manager.RyuApp):\n <mask token>\n <mask token>\n <mask token>\n print('PACKET_OUT...')\n",
"step-2": "<mask token>\n\n\nclass SimpleSwitch(app_manager.RyuApp):\n\n def __ini... | [
1,
3,
4,
5,
6
] |
from typing import Set, Dict, Tuple
from flask import Flask, render_template, request
app = Flask(__name__)
app.config['SECRET_KEY'] = 'top_secret'
# Определение константных величин
RULE: Dict[Tuple[str, str], str] = {('H', 'a'): 'S',
('H', 'b'): 'SE',
... | normal | {
"blob_id": "86ea1c46383b5a8790eb187163107f4100395ef3",
"index": 8962,
"step-1": "<mask token>\n\n\ndef finite_automate(word: str) ->str:\n \"\"\"Реализация конечного автомата для проверки символьных строк\"\"\"\n state: str = INITIAL_STATE\n for ind, char in enumerate(word):\n yield f'{word[ind:... | [
2,
3,
4,
5,
6
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
print(df.head())
print()
<|reserved_special_token_0|>
print(df.head())
print('------------------')
<|reserved_special_token_0|>
print(df.head())
print('------------------')
df.set_index('Date_m', inplace=True)
print(df.head())
<... | flexible | {
"blob_id": "d89e1d653c6db322feb6edba93cbfc622bf47aa2",
"index": 2781,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(df.head())\nprint()\n<mask token>\nprint(df.head())\nprint('------------------')\n<mask token>\nprint(df.head())\nprint('------------------')\ndf.set_index('Date_m', inplace=True)\n... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
train_maskRcnn.modelConfig(network_backbone='resnet101', num_classes=3,
batch_size=1)
train_maskRcnn.load_pretrained_model('c:/models/mask_rcnn_coco.h5')
train_maskRcnn.load_dataset('Object-Detection/Pixellib/customModel')
tra... | flexible | {
"blob_id": "cb4ca5f91c7cd47197784085258536166055afe9",
"index": 4212,
"step-1": "<mask token>\n",
"step-2": "<mask token>\ntrain_maskRcnn.modelConfig(network_backbone='resnet101', num_classes=3,\n batch_size=1)\ntrain_maskRcnn.load_pretrained_model('c:/models/mask_rcnn_coco.h5')\ntrain_maskRcnn.load_datase... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
print('Hello!')
<|reserved_special_token_1|>
#write a program that displays the wor "Hello!"
print("Hello!")
| flexible | {
"blob_id": "b7a7941b3555b30ac7e743a5457df76f9eb7cb15",
"index": 9714,
"step-1": "<mask token>\n",
"step-2": "print('Hello!')\n",
"step-3": "#write a program that displays the wor \"Hello!\"\n\nprint(\"Hello!\")\n",
"step-4": null,
"step-5": null,
"step-ids": [
0,
1,
2
]
} | [
0,
1,
2
] |
from odoo import api, tools, fields, models, _
import base64
from odoo import modules
class InheritUser(models.Model):
_inherit = 'pos.config'
related_pos_user = fields.One2many('pos.session.users', 'pos_config', string='Related User')
class InheritSession(models.Model):
_name = 'pos.session.users'
... | normal | {
"blob_id": "2cff5fdfc86793592dd97de90ba9c3a11870b356",
"index": 8987,
"step-1": "<mask token>\n\n\nclass InheritUser(models.Model):\n _inherit = 'res.users'\n pos_sessions = fields.Many2many('pos.config', string=\n 'Point of Sale Accessible')\n\n @api.multi\n def write(self, vals):\n i... | [
4,
6,
7,
8,
10
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def orca_run(method, basis, optfreq, custombasis, correlated, values,
charge, multip, sym, R_coord):
"""
Runs orca
Parameters:
method (char) : Name of functional to be used
... | flexible | {
"blob_id": "019e8d7159fe07adc245e6476ac1fed5e9c457b5",
"index": 3035,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef orca_run(method, basis, optfreq, custombasis, correlated, values,\n charge, multip, sym, R_coord):\n \"\"\"\n Runs orca\n\n Parameters:\n me... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
if __name__ == '__main__':
os.environ['CUDA_VISIBLE_DEVICES'] = '0'
total_iteration = 300000
m = 512
q = 32
lam = 0.01
beta = 1.0
margin = 0.5
s = 32
batch_size = 256
class_num = 1595
tr... | flexible | {
"blob_id": "459dd9302f7100ad02119cc94b735b19287f21e5",
"index": 5956,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nif __name__ == '__main__':\n os.environ['CUDA_VISIBLE_DEVICES'] = '0'\n total_iteration = 300000\n m = 512\n q = 32\n lam = 0.01\n beta = 1.0\n margin = 0.5\n s = ... | [
0,
1,
2,
3
] |
'''
LeetCode wants to give one of its best employees the option to travel among n cities to collect algorithm problems. But all work and no play makes Jack a dull boy, you could take vacations in some particular cities and weeks. Your job is to schedule the traveling to maximize the number of vacation days you could ta... | normal | {
"blob_id": "aa7cf08b40b2a13e39003f95e5e0ce7335cbdba2",
"index": 1766,
"step-1": "'''\nLeetCode wants to give one of its best employees the option to travel among n cities to collect algorithm problems. But all work and no play makes Jack a dull boy, you could take vacations in some particular cities and weeks. ... | [
0
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
for _ in range(numberOfObs):
obs = input().split()
obstacle.append((int(obs[0]), int(obs[1])))
<|reserved_special_token_0|>
while 1 <= q <= board and 1 <= r <= board:
if (q, r) in obstacle:
break
else:
... | flexible | {
"blob_id": "73d02615863826d77d65fbf0314dc71acb97ef28",
"index": 4035,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor _ in range(numberOfObs):\n obs = input().split()\n obstacle.append((int(obs[0]), int(obs[1])))\n<mask token>\nwhile 1 <= q <= board and 1 <= r <= board:\n if (q, r) in obstac... | [
0,
1,
2,
3,
4
] |
import bpy
bl_info = {
"name": "Ratchets Center All Objects",
"author": "Ratchet3789",
"version": (0, 1, 0),
"description": "Centers all selected objects. Built for Game Development.",
"category": "Object",
}
class CenterOriginToZero(bpy.types.Operator):
"""Center all objects script""" # blen... | normal | {
"blob_id": "f7a511beaea869cf32eb905a4f3685077297a5ec",
"index": 1654,
"step-1": "<mask token>\n\n\nclass CenterOriginToZero(bpy.types.Operator):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n def execute(self, context):\n for x in bpy.context.selected_objects:\n ... | [
10,
14,
15,
16,
18
] |
class Job:
def __init__(self, id, duration, tickets):
self.id = id
self.duration = duration
self.tickets = tickets
def run(self, time_slice):
self.duration -= time_slice
def done(self):
return self.duration <= 0
| normal | {
"blob_id": "cf7bd8aa9c92d1c3acb9ccc1658d66fa0e7a142d",
"index": 3777,
"step-1": "class Job:\n <mask token>\n <mask token>\n <mask token>\n",
"step-2": "class Job:\n <mask token>\n\n def run(self, time_slice):\n self.duration -= time_slice\n <mask token>\n",
"step-3": "class Job:\n ... | [
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
PROJECT_ID = 'aaet-geoscience-dev'
DATA_PATH = '/home/airflow/gcs/data/tmp'
CREDENTIALS_JSON = 'keys/composer_las_merge.json'
BUCKET_LAS_MERGE = 'las_merged'
BUCKET_LAS_SPLICE = 'us-central1-lithos-dev-94beb3d4-bucket'
COMPOSER_FOLDER = 'data/logqc_landing'
T... | flexible | {
"blob_id": "0b2a036b806cca6e7f58008040b3a261a8bc844d",
"index": 4092,
"step-1": "<mask token>\n",
"step-2": "PROJECT_ID = 'aaet-geoscience-dev'\nDATA_PATH = '/home/airflow/gcs/data/tmp'\nCREDENTIALS_JSON = 'keys/composer_las_merge.json'\nBUCKET_LAS_MERGE = 'las_merged'\nBUCKET_LAS_SPLICE = 'us-central1-lithos... | [
0,
1,
2
] |
<|reserved_special_token_0|>
@app.route('/tracks', methods=['POST'])
def get_user_tracks():
ids = json.loads(request.data)['ids']
tracks.extend(ids)
return 'success'
@app.route('/')
@login_required
def index():
username = session['username']
if session.get('token') and session.get('playlist_dict... | flexible | {
"blob_id": "4f674b30c919c7ec72c11a8edd9692c91da7cb90",
"index": 9595,
"step-1": "<mask token>\n\n\n@app.route('/tracks', methods=['POST'])\ndef get_user_tracks():\n ids = json.loads(request.data)['ids']\n tracks.extend(ids)\n return 'success'\n\n\n@app.route('/')\n@login_required\ndef index():\n use... | [
4,
6,
7,
8,
9
] |
# 예시 입력값
board = [[0,0,0,0,0],[0,0,1,0,3],[0,2,5,0,1],[4,2,4,4,2],[3,5,1,3,1]]
moves = [1,5,3,5,1,2,1,4]
# 로직
resultList = []
count = 0
for nth in moves:
for i in range(len(board)):
selected = board[i][nth - 1]
if selected == 0:
continue
else:
# 인형을 resultList에 넣고
... | normal | {
"blob_id": "18e032b7ff7ae9d3f5fecc86f63d12f4da7b8067",
"index": 6180,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor nth in moves:\n for i in range(len(board)):\n selected = board[i][nth - 1]\n if selected == 0:\n continue\n else:\n resultList.append(sel... | [
0,
1,
2,
3
] |
class subset:
def __init__(self, weight, itemSet, size, setNum):
self.weight = weight
self.itemSet = itemSet
self.size = size
self.setNum = setNum
def findCover(base, arr):
uniq = [] #array that can be union
uni = [] #array has been unionized w/ base
if len(base.itemSet) == rangeOfVal:
# print("COVER:"... | normal | {
"blob_id": "b865c37623f405f67592d1eabc620d11ff87827e",
"index": 3378,
"step-1": "class subset:\n <mask token>\n\n\n<mask token>\n",
"step-2": "class subset:\n\n def __init__(self, weight, itemSet, size, setNum):\n self.weight = weight\n self.itemSet = itemSet\n self.size = size\n ... | [
1,
3,
4,
5,
6
] |
<|reserved_special_token_0|>
class TestDisplay(unittest.TestCase):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class TestDisplay(unittest.TestCase):
def setUp(self):
self.display = Display(None)
<|reserved_special_to... | flexible | {
"blob_id": "75d2dcbb0c131930602e3c1f2cf30c0e4c5e3c42",
"index": 8262,
"step-1": "<mask token>\n\n\nclass TestDisplay(unittest.TestCase):\n <mask token>\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass TestDisplay(unittest.TestCase):\n\n def setUp(self):\n self.display = Display(None)\n ... | [
1,
2,
3,
4,
5
] |
import cv2
import numpy as np
import random
def main():
img = cv2.imread('test_image.png',0)
res = np.zeros((img.shape[0],img.shape[1],3),np.uint8)
thresh = cv2.threshold(img, 50, 255, 0)[1]
_, contours,_ = cv2.findContours(thresh,cv2.RETR_TREE,cv2.CHAIN_APPROX_SIMPLE)
for cnt in contours:
... | normal | {
"blob_id": "1babf9f27e6792d2a1c2545a1e3bcd08fefa0975",
"index": 5639,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef main():\n img = cv2.imread('test_image.png', 0)\n res = np.zeros((img.shape[0], img.shape[1], 3), np.uint8)\n thresh = cv2.threshold(img, 50, 255, 0)[1]\n _, contours,... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
class UpdatePerformanceView(SuccessMessageMixin, UpdateView):
<|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 DetailPerformanceView... | flexible | {
"blob_id": "7c6ac2837751703ac4582ee81c29ccf67b8277bc",
"index": 1632,
"step-1": "<mask token>\n\n\nclass UpdatePerformanceView(SuccessMessageMixin, UpdateView):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n\nclass DetailPerformanceView(DetailView... | [
7,
12,
17,
20,
21
] |
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
from django.utils.timezone import utc
import datetime
class Migration(migrations.Migration):
dependencies = [
('notesapp', '0008_auto_20150819_1222'),
]
operations = [
migrations.Ren... | normal | {
"blob_id": "51af54c55834c4bdb8e1cbe4ac55b86bdc61bf4d",
"index": 458,
"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 = [('notesapp', '... | [
0,
1,
2,
3,
4
] |
class Graph():
def __init__(self, nvertices):
self.N = nvertices
self.graph = [[0 for column in range(nvertices)]
for row in range(nvertices)]
self.V = ['0' for column in range(nvertices)]
def nameVertex(self):
for i in range(self.N):
pr... | normal | {
"blob_id": "51a8b963047215bf864eb4a3e62beb5741dfbafe",
"index": 8572,
"step-1": "class Graph:\n\n def __init__(self, nvertices):\n self.N = nvertices\n self.graph = [[(0) for column in range(nvertices)] for row in range\n (nvertices)]\n self.V = ['0' for column in range(nverti... | [
3,
5,
6,
7,
8
] |
##armstrong number##
##n= int(input('enter a number '))
##a=n
##s=0
##
##while n>0:
## rem= n%10
## s= s+rem*rem*rem
## n= n//10
##if a==s:
## print(a,' is an armstrong number')
##else:
## print(a,' is not an armstrong number')
##palindrome or not##
##n= int(input('enter a number ... | normal | {
"blob_id": "6be285f9c48a20934c1846785232a73373c7d547",
"index": 1043,
"step-1": "##armstrong number##\r\n##n= int(input('enter a number '))\r\n##a=n\r\n##s=0\r\n##\r\n##while n>0:\r\n## rem= n%10\r\n## s= s+rem*rem*rem\r\n## n= n//10\r\n##if a==s:\r\n## print(a,' is an armstrong number')\r\n##else:\... | [
1
] |
<|reserved_special_token_0|>
class UserCreate(UserBase):
password: str
class User(UserBase):
id: int
class Config:
orm_mode = True
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class BinCreate(BinBase):
owner_id: int
password: str
class Bin(BinBase):
id: int
... | flexible | {
"blob_id": "1c0f194bbdc6f7e3e4feb114e521aa958f11e83e",
"index": 3263,
"step-1": "<mask token>\n\n\nclass UserCreate(UserBase):\n password: str\n\n\nclass User(UserBase):\n id: int\n\n\n class Config:\n orm_mode = True\n",
"step-2": "<mask token>\n\n\nclass BinCreate(BinBase):\n owner_id: in... | [
2,
5,
6,
7,
8
] |
#! /usr/bin/env python
# import ros stuff
import rospy
from std_srvs.srv import *
#to check if the service is active
active_ = False
def unable_service(req):
"""
This function contains the variable declared above that is
used to enable the service.
"""
global active_
active_ = req.data
res = SetBoolRespo... | normal | {
"blob_id": "0f6737b9e9e9a13d75c20352e9ef9c1db6c0c8a3",
"index": 828,
"step-1": "#! /usr/bin/env python\n\n# import ros stuff\nimport rospy\nfrom std_srvs.srv import *\n\n#to check if the service is active\nactive_ = False\n\ndef unable_service(req):\n\t\"\"\"\n\tThis function contains the variable declared abov... | [
0
] |
<|reserved_special_token_0|>
def dispersion(list):
res = 0
for i in list:
res += (i - np.mean(list)) ** 2
return res / len(list)
<|reserved_special_token_0|>
def chi_square(list):
b = sorted(list)
k = ceil(log2(len(list)) + 1)
step = 10000 / k
p = 1 / k
frequency_vector = [... | flexible | {
"blob_id": "f2b978b9a4c00469cdd2f5e1e9275df73c7379b8",
"index": 3904,
"step-1": "<mask token>\n\n\ndef dispersion(list):\n res = 0\n for i in list:\n res += (i - np.mean(list)) ** 2\n return res / len(list)\n\n\n<mask token>\n\n\ndef chi_square(list):\n b = sorted(list)\n k = ceil(log2(len... | [
2,
3,
4,
5,
6
] |
#!/usr/bin/env python
import urllib
class LicenseChecker( object ):
def __init__( self ):
self.url = 'http://logon.guidoaccardo.com.ar/'
self.count_offline = 15
def __countTimes( self ):
ff = open( 'times.ehead', 'r' )
bb = ff.read()
ff.close()
return int( bb )
... | normal | {
"blob_id": "c70aa1a373530ac73553753e62d3989f5bc79287",
"index": 687,
"step-1": "<mask token>\n\n\nclass LicenseChecker(object):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass LicenseChecker(object):\n <mask token>\n <mask token>\n\n def ... | [
1,
3,
5,
6,
7
] |
__author__ = 'Administrator'
import unittest
class CouchTests2(unittest.TestCase):
def test_foo(self):
self.assertEqual(1, 1)
def test_bar(self):
self.assertEqual(1, 1)
| normal | {
"blob_id": "cd4f22b8e2188e8019e7324e80d64a7b95f8f956",
"index": 1961,
"step-1": "<mask token>\n\n\nclass CouchTests2(unittest.TestCase):\n <mask token>\n\n def test_bar(self):\n self.assertEqual(1, 1)\n",
"step-2": "<mask token>\n\n\nclass CouchTests2(unittest.TestCase):\n\n def test_foo(self)... | [
2,
3,
4,
5
] |
import pygame
pygame.init()
class Tiles:
Size = 32
Blocked = []
Blocked_Types = ["5", "6", "7", "9", "10", "11", "12", "13", "14", "15", "16", "17", "18", "19", "20", "25", "27", "28", "29"]
def Blocked_At(pos):
if list(pos) in Tiles.Blocked:
return True
else:
... | normal | {
"blob_id": "3d1f7794763b058cc22c543709a97cb021d0fd23",
"index": 8404,
"step-1": "<mask token>\n\n\nclass Tiles:\n <mask token>\n <mask token>\n <mask token>\n\n def Blocked_At(pos):\n if list(pos) in Tiles.Blocked:\n return True\n else:\n return False\n\n def L... | [
3,
4,
5,
6,
7
] |
from collections import namedtuple
from math import tau, sin, cos, atan2
grid = 21
c = grid / 2
points = grid**3
Velocity = namedtuple('Velocity', ('x', 'y', 'z'))
velocity = []
for k in range(grid):
for j in range(grid):
for i in range(grid):
x = (i / grid + 0.25) * tau
y = (j /... | normal | {
"blob_id": "d70986b016e58877c39bfbb76c5bd622c44cbca9",
"index": 9273,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor k in range(grid):\n for j in range(grid):\n for i in range(grid):\n x = (i / grid + 0.25) * tau\n y = (j / grid + 0.25) * tau\n z = (k / gri... | [
0,
1,
2,
3,
4
] |
_method_adaptors = dict()
def register_dist_adaptor(method_name):
def decorator(func):
_method_adaptors[method_name] = func
def wrapper(*args, **kwargs):
func(*args, **kwargs)
return wrapper
return decorator
def get_nearest_method(method_name, parser):
"""
all c... | normal | {
"blob_id": "ed2f3bbc7eb0a4d8f5ccdb7a12e00cbddab04dd0",
"index": 577,
"step-1": "<mask token>\n\n\ndef get_nearest_method(method_name, parser):\n \"\"\"\n all candidates toked\n all protocol untoked\n input:\n queries:\n [\n (protocol, (candidate, sen_id, start, K), (candidate, sen_id, s... | [
1,
2,
3,
4
] |
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