code stringlengths 13 6.09M | order_type stringclasses 2
values | original_example dict | step_ids listlengths 1 5 |
|---|---|---|---|
class Wspak:
<|reserved_special_token_0|>
def __init__(self, data):
self.data = data
self.index = -2
self.i = len(data) - 1
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_1|>
class Wspak:
"""Iterator zwrac... | flexible | {
"blob_id": "ea1d62c4a8c406dde9bb138ee045be5e682fdbfe",
"index": 566,
"step-1": "class Wspak:\n <mask token>\n\n def __init__(self, data):\n self.data = data\n self.index = -2\n self.i = len(data) - 1\n <mask token>\n <mask token>\n\n\n<mask token>\n",
"step-2": "class Wspak:\n... | [
2,
5,
6,
7,
8
] |
<|reserved_special_token_0|>
class TestDictGroupBy(unittest.TestCase):
def setUp(self):
random.seed(0)
self.sut = dict_groupby
<|reserved_special_token_0|>
def generate_facility(self):
num_transactions = random.randint(1, 3)
transactions = {}
outstanding = 0
... | flexible | {
"blob_id": "f8e6f6e1be6c4ea306b7770c918b97808a0765b2",
"index": 6580,
"step-1": "<mask token>\n\n\nclass TestDictGroupBy(unittest.TestCase):\n\n def setUp(self):\n random.seed(0)\n self.sut = dict_groupby\n <mask token>\n\n def generate_facility(self):\n num_transactions = random.r... | [
4,
7,
8,
9,
10
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
class SimulatorInfo(object):
<|reserved_special_token_0|>
<|reserved_special_token_1|>
class SimulatorInfo(object):
def __init__(self, name=None, device_type=None, sdk=None, device_id=
None, sim_id=None):
self.name = name
s... | flexible | {
"blob_id": "9b94e8aed2b0be2771a38cf2d1cf391772f3a9f0",
"index": 6478,
"step-1": "<mask token>\n",
"step-2": "class SimulatorInfo(object):\n <mask token>\n",
"step-3": "class SimulatorInfo(object):\n\n def __init__(self, name=None, device_type=None, sdk=None, device_id=\n None, sim_id=None):\n ... | [
0,
1,
2
] |
from collections import defaultdict, deque
N = int(input())
adj_list = defaultdict(list)
E = []
V_number = [None] * N
for _ in range(N - 1):
a, b = map(int, input().split())
E.append((a, b))
adj_list[a].append(b)
adj_list[b].append(a)
C = sorted(list(map(int, input().split())), reverse=True)
q = deque([... | normal | {
"blob_id": "b93f6c3192f8dd58b96dfdc6ea2b17e12cce34d0",
"index": 9752,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor _ in range(N - 1):\n a, b = map(int, input().split())\n E.append((a, b))\n adj_list[a].append(b)\n adj_list[b].append(a)\n<mask token>\nwhile q:\n v = q.popleft()\n ... | [
0,
1,
2,
3
] |
# PDE:
# add_library('hype')
# processing.py:
from hype.core.util import H
from hype.core.interfaces import HCallback
from hype.extended.behavior import HOscillator
from hype.extended.drawable import HCanvas, HRect
from hype.extended.layout import HGridLayout
from hype.extended.util import HDrawablePool
from random im... | normal | {
"blob_id": "b8a41c56a31acab0181ec364f76010ac12119074",
"index": 5489,
"step-1": "<mask token>\n\n\nclass Callback(HCallback):\n\n def __init__(self):\n pass\n\n @staticmethod\n def run(drawable):\n drawable.anchorAt(H.CENTER).fill(choice([color1, color2]))\n HOscillator().target(dr... | [
3,
5,
6,
7,
8
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
def contador_notas(multiplo, numero):
if numero % multiplo == 0:
notas = numero / multiplo
return notas
else:
return -1
<|reserved_special_token_0|>
<|reserved_special_token_1|>
def contador_notas(multiplo, numero):
if... | flexible | {
"blob_id": "a5c19ad60ac6312631273858cebaae944a2008ec",
"index": 8876,
"step-1": "<mask token>\n",
"step-2": "def contador_notas(multiplo, numero):\n if numero % multiplo == 0:\n notas = numero / multiplo\n return notas\n else:\n return -1\n\n\n<mask token>\n",
"step-3": "def conta... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
class Handler(object):
<|reserved_special_token_0|>
def get_rsp_from_url(self, url, params=None, method='get', data=None):
logging.warning(
'when using method {}, header is:\n {} \n data is: \n{}.\n'.
format(method, self.coffee_session.headers, dat... | flexible | {
"blob_id": "00228facd19c72bebd9afbbe52597e390233d41e",
"index": 5822,
"step-1": "<mask token>\n\n\nclass Handler(object):\n <mask token>\n\n def get_rsp_from_url(self, url, params=None, method='get', data=None):\n logging.warning(\n 'when using method {}, header is:\\n {} \\n data is: \\... | [
4,
6,
8,
9,
10
] |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
# groupby()
# groupby()把迭代器中相邻的重复元素挑出来放在一起：
import itertools
for key, group in itertools.groupby('ABAABBBCCAAA'):
print(key, list(group))
# 小结
# itertools模块提供的全部是处理迭代功能的函数，它们的返回值不是list，而是Iterator，只有用for循环迭代的时候才真正计算。
| normal | {
"blob_id": "b5568e84e19719f0fd72197ead47bd050e09f55d",
"index": 7310,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor key, group in itertools.groupby('ABAABBBCCAAA'):\n print(key, list(group))\n",
"step-3": "import itertools\nfor key, group in itertools.groupby('ABAABBBCCAAA'):\n print(key, l... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
with open('files_with_extensions.txt', 'w', encoding='utf-8') as filewrite:
for r, d, f in os.walk(startPath):
for file in f:
if file.endswith(extension0) or file.endswith(extension1
) or fi... | flexible | {
"blob_id": "d287123acdbabdd5a223e774c89945ab888fcbcc",
"index": 5439,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nwith open('files_with_extensions.txt', 'w', encoding='utf-8') as filewrite:\n for r, d, f in os.walk(startPath):\n for file in f:\n if file.endswith(extension0) or fi... | [
0,
1,
2,
3,
4
] |
def long_alpha(str1):
list1 = []
list2 = ""
maxi = 0
j = 0
for i in range(len(str1)):
if i == 0:
list2 += str1[i]
elif ord(str1[i - 1]) <= ord(str1[i]):
list2 += str1[i]
else:
list1.append(list2)
list2 = ""
... | normal | {
"blob_id": "e7c18fa99c801fd959c868954f020d8c55babe0d",
"index": 7543,
"step-1": "<mask token>\n",
"step-2": "def long_alpha(str1):\n list1 = []\n list2 = ''\n maxi = 0\n j = 0\n for i in range(len(str1)):\n if i == 0:\n list2 += str1[i]\n elif ord(str1[i - 1]) <= ord(st... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
print(a)
<|reserved_special_token_0|>
print(b)
<|reserved_special_token_0|>
print(c)
<|reserved_special_token_0|>
print(d)
<|reserved_special_token_1|>
a = len('Karen')
print(a)
b = 'Rainha Elizabeth'.count('a')
print(b)
c = 'k... | flexible | {
"blob_id": "3079fdbe6319454ad166d06bda5670554a5746ee",
"index": 1004,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(a)\n<mask token>\nprint(b)\n<mask token>\nprint(c)\n<mask token>\nprint(d)\n",
"step-3": "a = len('Karen')\nprint(a)\nb = 'Rainha Elizabeth'.count('a')\nprint(b)\nc = 'karen nayar... | [
0,
1,
2,
3
] |
import math
import datetime
import numpy as np
import matplotlib.pyplot as plt
def draw_chat(
id, smooth_id, main_mode,
my_name, chat_day_data,
main_plot, pie_plot, list_chats_plot):
min_in_day = 1440
possible_smooth = [1, 2, 3, 4, 5, 6, 8, 9, 10, 12, 15, 16, 18, 20, 24, 30, 32, 36, 40, 45, 48, ... | normal | {
"blob_id": "b297a09ee19bb8069eb65eb085903b3219c6fe5a",
"index": 7971,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef draw_chat(id, smooth_id, main_mode, my_name, chat_day_data, main_plot,\n pie_plot, list_chats_plot):\n min_in_day = 1440\n possible_smooth = [1, 2, 3, 4, 5, 6, 8, 9, 10, ... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
def run_Simulation2(k, N=100, T=10, start=1, p=0.5, q=0.08, startcenter=
False, startcorner=False):
"""
run the simulation for the pop
"""
recover = [0]
infect = [start]
suspect = [N - start]
pop = [Person() for i in range(N)]
for i in range(start):
... | flexible | {
"blob_id": "92317996f884befd646138cd3a3dc3f8345679f4",
"index": 2122,
"step-1": "<mask token>\n\n\ndef run_Simulation2(k, N=100, T=10, start=1, p=0.5, q=0.08, startcenter=\n False, startcorner=False):\n \"\"\"\n run the simulation for the pop\n \"\"\"\n recover = [0]\n infect = [start]\n su... | [
3,
4,
5,
6,
7
] |
from math import gcd
from random import randint, choice
task = """6. Реализовать алгоритм построения ПСП методом Фиббоначи с
запаздываниями. Обосновать выбор коэффициентов алгоритма. Для
начального заполнения использовать стандартную линейную конгруэнтную
ПСП с выбранным периодом. Реализовать возможность для пользоват... | normal | {
"blob_id": "11e9d25c30c8c9945cfa3c234ffa1aab98d1869e",
"index": 8023,
"step-1": "<mask token>\n\n\ndef factor(n):\n result = []\n d = 2\n while d * d <= n:\n if n % d == 0:\n result.append(d)\n n //= d\n else:\n d += 1\n if n > 1:\n result.append... | [
4,
5,
6,
7,
8
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def extraLongFactorials(n):
print(math.factorial(n))
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def extraLongFactorials(n):
print(math.factorial(n))
if __name__ == '__... | flexible | {
"blob_id": "5c1ce46f45da33acf75a7f47add811b14d58414d",
"index": 1169,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef extraLongFactorials(n):\n print(math.factorial(n))\n\n\n<mask token>\n",
"step-3": "<mask token>\n\n\ndef extraLongFactorials(n):\n print(math.factorial(n))\n\n\nif __name... | [
0,
1,
2,
3,
4
] |
from django.shortcuts import render
from django.contrib import messages
from django.views.generic import View
from django.views.decorators.http import require_GET, require_POST
from django.shortcuts import render, get_object_or_404
from django.http import HttpResponse,HttpResponsePermanentRedirect,HttpResponseRedirect
... | normal | {
"blob_id": "11952e60ab95bc1896fd899a5ced126dcafec63a",
"index": 9882,
"step-1": "<mask token>\n\n\n@require_GET\ndef Follow(request, shorturl):\n link = get_object_or_404(Link, shorturl=shorturl)\n link.vi += 1\n print(link.vi)\n link.save()\n return HttpResponseRedirect(link.link)\n\n\ndef FormV... | [
2,
4,
5,
6,
7
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class Migration(migrations.Migration):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class Migration(migrations.Migration):
dependencies = [(... | flexible | {
"blob_id": "5e4a334b373d912ba37b18f95e4866450bda5570",
"index": 3938,
"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 = [('usuarios', ... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class TasksSerializer(serializers.ModelSerializer):
<|reserved_special_token_0|>
class Meta:
model = Tasks
fields = ['id', 'created', 'title', 'description', 'status', 'user']
<|reserved_special_token... | flexible | {
"blob_id": "3fa1736fd87448ec0da4649153521d0aba048ccf",
"index": 3689,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass TasksSerializer(serializers.ModelSerializer):\n <mask token>\n\n\n class Meta:\n model = Tasks\n fields = ['id', 'created', 'title', 'description', 'status',... | [
0,
1,
2,
3
] |
# First, we'll import pandas, a data processing and CSV file I/O library
import pandas as pd
# We'll also import seaborn, a Python graphing library
import warnings # current version of seaborn generates a bunch of warnings that we'll ignore
warnings.filterwarnings("ignore")
import seaborn as sns
import matplotlib.py... | normal | {
"blob_id": "0125abab0312d8f007e76ee710348efc9daae31e",
"index": 4989,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nwarnings.filterwarnings('ignore')\n<mask token>\nsns.set(style='white', color_codes=True)\n<mask token>\nsns.boxplot(x='Species', y='PetalLengthCm', data=iris)\nplt.show()\n",
"step-3":... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
class Pan(games.Sprite):
<|reserved_special_token_0|>
def update(self):
""" Move to mouse coordinates """
self.x = games.mouse.x
self.check_collide()
<|reserved_special_token_0|>
class Pizza(games.Sprite):
def update(self):
global SCORE
... | flexible | {
"blob_id": "ee16b91ce1c12ce78d23ff655304aebc39cb1639",
"index": 9693,
"step-1": "<mask token>\n\n\nclass Pan(games.Sprite):\n <mask token>\n\n def update(self):\n \"\"\" Move to mouse coordinates \"\"\"\n self.x = games.mouse.x\n self.check_collide()\n <mask token>\n\n\nclass Pizza... | [
7,
9,
10,
13,
14
] |
<|reserved_special_token_0|>
class ServiceMap(Base):
<|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": "a9e0659c6a18ffc954079845b7d0de04c46a78c9",
"index": 7204,
"step-1": "<mask token>\n\n\nclass ServiceMap(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 <mask token>\n <mas... | [
9,
10,
11,
13,
14
] |
"""Test the various means of instantiating and invoking filters."""
import types
import test
test.prefer_parent_path()
import cherrypy
from cherrypy import filters
from cherrypy.filters.basefilter import BaseFilter
class AccessFilter(BaseFilter):
def before_request_body(self):
if not cherrypy.confi... | normal | {
"blob_id": "8a412231c13df1b364b6e2a27549730d06048186",
"index": 9978,
"step-1": "<mask token>\n\n\nclass AccessFilter(BaseFilter):\n <mask token>\n\n\n<mask token>\n\n\nclass FilterTests(helper.CPWebCase):\n\n def testCPFilterList(self):\n self.getPage('/cpfilterlist/')\n self.assertBody('A ... | [
4,
5,
7,
8,
9
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
while x < 13:
print(n, ' x ', x, ' = ', n * x)
x = x + 1
<|reserved_special_token_1|>
n = int(input('Enter any int number:\n'))
x = 1
while x < 13:
print(n, ' x ', x, ' = ', n * x)
x = x + 1
<|reserved_special... | flexible | {
"blob_id": "a6c07146f1cbc766cd464dab620d1fb075759c12",
"index": 4213,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nwhile x < 13:\n print(n, ' x ', x, ' = ', n * x)\n x = x + 1\n",
"step-3": "n = int(input('Enter any int number:\\n'))\nx = 1\nwhile x < 13:\n print(n, ' x ', x, ' = ', n * x)\... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
class Cif:
def get_chain(self):
return [chain for chain in list(self.structure.get_models())[0] if
chain.get_id() == self.chain_id][0]
def get_seq_from_pdb(self):
seq_from_pdb = seq1(''.join([residue.get_resname() for residue in
self.chai... | flexible | {
"blob_id": "ad5cdcfd9d7a3c07abcdcb701422f3c0fdc2b374",
"index": 8860,
"step-1": "<mask token>\n\n\nclass Cif:\n\n def get_chain(self):\n return [chain for chain in list(self.structure.get_models())[0] if \n chain.get_id() == self.chain_id][0]\n\n def get_seq_from_pdb(self):\n seq_... | [
4,
6,
7,
9,
10
] |
../testing.py | normal | {
"blob_id": "616ff35f818130ebf54bd33f67df79857cd45965",
"index": 6952,
"step-1": "../testing.py",
"step-2": null,
"step-3": null,
"step-4": null,
"step-5": null,
"step-ids": [
0
]
} | [
0
] |
<|reserved_special_token_0|>
class Detailedreservation(RetrieveUpdateDestroyAPIView):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class ListReservation(ListCreateAPIView):
<|reserved_special_token_0|>
<|reserved_special_token... | flexible | {
"blob_id": "d437d77d5a57a6f2f4a2d530be05c3845dce93bc",
"index": 1459,
"step-1": "<mask token>\n\n\nclass Detailedreservation(RetrieveUpdateDestroyAPIView):\n <mask token>\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass ListReservation(ListCreateAPIView):\n <mask token>\n <mask token>\n\n\ncl... | [
1,
7,
13,
14,
16
] |
from turtle import *
def drawSquare():
for i in range(4):
forward(100)
left(90)
if __name__ == '__main__':
drawSquare()
up()
forward(200)
down()
drawSquare()
mainloop()
| normal | {
"blob_id": "1ce5b97148885950983e39b7e99d0cdfafe4bc16",
"index": 5382,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef drawSquare():\n for i in range(4):\n forward(100)\n left(90)\n\n\n<mask token>\n",
"step-3": "<mask token>\n\n\ndef drawSquare():\n for i in range(4):\n ... | [
0,
1,
2,
3
] |
# Generated by Django 3.0.7 on 2020-07-05 07:34
from django.db import migrations, models
import location_field.models.plain
class Migration(migrations.Migration):
dependencies = [
('driver', '0001_initial'),
]
operations = [
migrations.RemoveField(
model_name='driver',
... | normal | {
"blob_id": "ea918bdf96572b38461dc1810bd0b8c16efd0f0d",
"index": 5786,
"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 = [('driver', '0... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
decoded_image.set_shape([height, width, channels])
<|reserved_special_token_0|>
with tf.Session() as sess:
tf.initialize_all_variables().run()
coord = tf.train.Coordinator()
threads = tf.train.start_queue_runners(sess=... | flexible | {
"blob_id": "1685a2c49bea14e6fcaffb03634f6875f8fa1049",
"index": 3726,
"step-1": "<mask token>\n",
"step-2": "<mask token>\ndecoded_image.set_shape([height, width, channels])\n<mask token>\nwith tf.Session() as sess:\n tf.initialize_all_variables().run()\n coord = tf.train.Coordinator()\n threads = tf... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
c.translate(inch, inch)
c.setFont('Helvetica', 80)
c.setStrokeColorRGB(0.2, 0.5, 0.3)
c.setFillColorRGB(1, 0, 1)
c.rect(inch, inch, 6 * inch, 9 * inch, fill=1)
c.rotate(90)
c.setFillColorRGB(0, 0, 0.77)
c.drawString(6 * inch, -6 *... | flexible | {
"blob_id": "7d6e8e6142184a1540daa29dac802fe75bd93d8e",
"index": 4428,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nc.translate(inch, inch)\nc.setFont('Helvetica', 80)\nc.setStrokeColorRGB(0.2, 0.5, 0.3)\nc.setFillColorRGB(1, 0, 1)\nc.rect(inch, inch, 6 * inch, 9 * inch, fill=1)\nc.rotate(90)\nc.setFil... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class Solution(object):
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class Solution(object):
def buildTree(self, inorder, postorder):
"""
:type inorder: Lis... | flexible | {
"blob_id": "b59dfd97a2b52ddef4e37557ea96bff9edf34989",
"index": 1342,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass Solution(object):\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass Solution(object):\n\n def buildTree(self, inorder, postorder):\n \"\"\"\n :type ino... | [
0,
1,
2,
3,
4
] |
# -*- coding: utf-8 -*-
"""
Created on Mon Apr 16 21:26:03 2018
@author: Brandon
"""os.getcwd()
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
NameError: name 'os' is not definimport os
>>> os.getcwd()
'C:\\Users\\Brandon\\AppData\\Local\\Programs\\Python\\Python36-32'
>>> os.chdir()
Tracebac... | normal | {
"blob_id": "dc97703d39e7db29e0ba333c2797f4be6d015fd7",
"index": 7886,
"step-1": "# -*- coding: utf-8 -*-\n\"\"\"\nCreated on Mon Apr 16 21:26:03 2018\n\n@author: Brandon\n\"\"\"os.getcwd()\nTraceback (most recent call last):\n File \"<stdin>\", line 1, in <module>\nNameError: name 'os' is not definimport os\n>... | [
0
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def excel_table_byindex(file='D:\\基金公司\\数据库-制表符\\资产组合-基金公司维度.xlsx',
colnameindex=0, by_index=0):
data = open_excel(file='D:\\基金公司\\数据库-制表符\\资产组合-基金公司维度.xlsx')
table = data.sheets()[by_index]
nrows = table.nrows
... | flexible | {
"blob_id": "d211594a034489d36a5648bf0b926fbd734fd0df",
"index": 6928,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef excel_table_byindex(file='D:\\\\基金公司\\\\数据库-制表符\\\\资产组合-基金公司维度.xlsx',\n colnameindex=0, by_index=0):\n data = open_excel(file='D:\\\\基金公司\\\\数据库-制表符\\\\资产组合-基金公司维度.xlsx')\n ... | [
0,
1,
2,
3,
4
] |
#usage: exploit.py
print "-----------------------------------------------------------------------"
print ' [PoC 2] MS Visual Basic Enterprise Ed. 6 SP6 ".dsr" File Handling BoF\n'
print " author: shinnai"
print " mail: shinnai[at]autistici[dot]org"
print " site: http://shinnai.altervista.org\n"
print " Once you create... | normal | {
"blob_id": "40a73ceeeb310c490fe2467511966679a1afa92b",
"index": 9585,
"step-1": "#usage: exploit.py\n\nprint \"-----------------------------------------------------------------------\"\nprint ' [PoC 2] MS Visual Basic Enterprise Ed. 6 SP6 \".dsr\" File Handling BoF\\n'\nprint \" author: shinnai\"\nprint \" mail... | [
0
] |
<|reserved_special_token_0|>
def worker(server, commands):
output = {}
output['server'] = server
session = sgc.Ssh(server=server)
if session.ping == 'Alive':
session.connect()
if session.connection == False:
output['commands'] = session.connection_error
else:
... | flexible | {
"blob_id": "ace7e5676fcb01c3542952eaacdada9963b8467a",
"index": 5168,
"step-1": "<mask token>\n\n\ndef worker(server, commands):\n output = {}\n output['server'] = server\n session = sgc.Ssh(server=server)\n if session.ping == 'Alive':\n session.connect()\n if session.connection == Fal... | [
1,
2,
3,
4,
5
] |
from flask_admin.contrib.sqla import ModelView
from flask_admin import Admin
from flask import abort
import flask_login
import logging
from .models import User, sendUserMail, db as userdb
from .box_models import Box, Image, db as boxdb
from .box_queue import BoxQueue
logger = logging.getLogger('labboxmain')
class Au... | normal | {
"blob_id": "3f86227afd60be560ac3d4ce2bee1f6cf74a744d",
"index": 3509,
"step-1": "<mask token>\n\n\nclass UserModel(AuthModel):\n <mask token>\n <mask token>\n\n def on_model_change(self, form, model, is_created):\n if is_created:\n logger.warning('[Admin] Create for ' + model.email)\n... | [
2,
6,
7,
8,
9
] |
aminotable = [
['Ile' , 'AUU','AUC','AUA'], #0
['Leu' , 'CUU','CUC','CUA','CUG','UUA','UUG'], #1
['Val' , 'GUU','GUC','GUA','GUG'], #2
['Phe' , 'UUU','UUC'], #3
['Met' , 'AUG'], ... | normal | {
"blob_id": "d5a31e53444e2efa2eb972f1152b6d3e37d5ab79",
"index": 5321,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint('Original sequence: ', sequence, '\\n')\n<mask token>\nprint('Amino Sequence: ')\nwhile n < seqlength:\n codon = sequence[n:n + 3]\n for amino in aminotable:\n for i in... | [
0,
1,
2,
3
] |
from collections import namedtuple
from weakref import ref
l = list()
_l = list()
# Point = namedtuple('Point', ['x', 'y'])
class Point:
def __init__(self,x,y):
self.x = x
self.y = y
def callback(ref):
print ('__del__', ref)
for x in range(10):
p = Point(x,x**2)
t = ref(p,callback)... | normal | {
"blob_id": "2542998c3a7decd6329856a31d8e9de56f82bae1",
"index": 3922,
"step-1": "<mask token>\n\n\nclass Point:\n\n def __init__(self, x, y):\n self.x = x\n self.y = y\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\nclass Point:\n\n def __init__(self, x, y):\n self.x = x\n ... | [
2,
3,
5,
6,
7
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class Migration(migrations.Migration):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class Migration(migrations.Migration):
dependencies = [(... | flexible | {
"blob_id": "8e8c72362dfb1587150aadaa6b8a0aeb77c3641a",
"index": 1516,
"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 = [('blog', '000... | [
0,
1,
2,
3,
4
] |
import requests
import json
import pandas as pd
n1 = 'ADS'
api_url = 'https://www.quandl.com/api/v3/datasets/WIKI/%s.csv' % n1
df = pd.read_csv(api_url)
df = df.head(100)
print(df.head())
#print(list(data))
| normal | {
"blob_id": "3dd4b4d4241e588cf44230891f496bafb30c6153",
"index": 46,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(df.head())\n",
"step-3": "<mask token>\nn1 = 'ADS'\napi_url = 'https://www.quandl.com/api/v3/datasets/WIKI/%s.csv' % n1\ndf = pd.read_csv(api_url)\ndf = df.head(100)\nprint(df.head(... | [
0,
1,
2,
3,
4
] |
#!/usr/bin/env python3
from datetime import datetime
import re
import sys
MONTHS_REGEXP = ('Jan|Feb|Mar|Apr|May|Jun|Jul|Aug|Sep|Oct|Nov|Dec|'
'January|February|March|April|June|July|August|September|October|November|December')
re_entry_begin = re.compile(r'(?P<version>[\d.]+)[ :]*\(?(?P<date>\d\d\d\d... | normal | {
"blob_id": "03677f02473019fcc6a40d91569a85be78ca0a87",
"index": 7179,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor line in sys.stdin:\n m = re_entry_begin.match(line)\n if m:\n if first_line_met:\n sys.stdout.write(signature_format.format(date=current_date))\n versio... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
siswa_1 = Siswa('Afif', 'A.I.', 17, 'XII IPA')
siswa_2 = Siswa('Bayu', 'Sudrajat', 20, 'XII IPS')
siswa_3 = Siswa('Bayu', 'Sudrajat', 20, 'XII IPS')
siswa_4 = Siswa('Bayu', 'Sudrajat', 20, 'XII IPS')
siswa_5 = Siswa('Bayu', 'Sudra... | flexible | {
"blob_id": "bd2c327915c1e133a6e7b7a46290369440d50347",
"index": 3876,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nsiswa_1 = Siswa('Afif', 'A.I.', 17, 'XII IPA')\nsiswa_2 = Siswa('Bayu', 'Sudrajat', 20, 'XII IPS')\nsiswa_3 = Siswa('Bayu', 'Sudrajat', 20, 'XII IPS')\nsiswa_4 = Siswa('Bayu', 'Sudrajat',... | [
0,
1,
2,
3
] |
i = 0
real_value = 8
while i <= 3:
guess = int(input('Guess: '))
if guess == real_value:
print('You Win!')
break
else:
print('You lose')
| normal | {
"blob_id": "70f2fc6873a78305c74e3c3ad04cb24d72019d56",
"index": 8738,
"step-1": "i = 0\nreal_value = 8\nwhile i <= 3:\n guess = int(input('Guess: '))\n if guess == real_value:\n print('You Win!')\n break\n else:\n print('You lose')\n \n",
"step-2": null,
"step-3": null,
"step-4": null,
"st... | [
0
] |
<|reserved_special_token_0|>
def problem_args(problem_name):
args = ['--generate_data', '--model=transformer',
'--hparams_set=transformer_librispeech_v1', '--problem=%s' %
problem_name, '--data_dir=/tmp/refactor_test/problems/%s/data' %
problem_name, '--tmp_dir=/tmp/refactor_test/problems/... | flexible | {
"blob_id": "cc5ad95419571d3eb2689b428e5805ad69958806",
"index": 4796,
"step-1": "<mask token>\n\n\ndef problem_args(problem_name):\n args = ['--generate_data', '--model=transformer',\n '--hparams_set=transformer_librispeech_v1', '--problem=%s' %\n problem_name, '--data_dir=/tmp/refactor_test/pr... | [
1,
2,
3,
4,
5
] |
print ("Hello"*5)
| normal | {
"blob_id": "9ae7b6d081529a5c70b7362c852647b3638e7e98",
"index": 8105,
"step-1": "<mask token>\n",
"step-2": "print('Hello' * 5)\n",
"step-3": "print (\"Hello\"*5)\n",
"step-4": null,
"step-5": null,
"step-ids": [
0,
1,
2
]
} | [
0,
1,
2
] |
import unittest
import BasicVmLifecycleTestBase
class testVmIsAccessibleViaSsh(BasicVmLifecycleTestBase.
VmIsAccessibleViaSshTestBase):
vmName = 'cernvm'
timeout = 20 * 60
sshTimeout = 5 * 60
def suite():
return unittest.TestLoader().loadTestsFromTestCase(testVmIsAccessibleViaSsh
)
| normal | {
"blob_id": "79e4e37fc17462508abf259e3a7861bd76797280",
"index": 9182,
"step-1": "<mask token>\n\n\nclass testVmIsAccessibleViaSsh(BasicVmLifecycleTestBase.\n VmIsAccessibleViaSshTestBase):\n <mask token>\n <mask token>\n <mask token>\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\nclass testVmI... | [
1,
2,
3,
4
] |
"""
复习
面向对象：考虑问题从对象的角度出发.
抽象：从多个事物中，舍弃个别的/非本质的特征(不重要)，
抽出共性的本质(重要的)过程。
三大特征：
封装：将每个变化点单独分解到不同的类中。
例如：老张开车去东北
做法：定义人类，定义车类。
继承：重用现有类的功能和概念，并在此基础上进行扩展。
统一概念
例如：图形管理器，统计圆形/矩形.....面积。
... | normal | {
"blob_id": "2749a262bf8da99aa340e878c15a6dba01acc38c",
"index": 7025,
"step-1": "<mask token>\n",
"step-2": "\"\"\"\n 复习\n 面向对象：考虑问题从对象的角度出发.\n 抽象：从多个事物中，舍弃个别的/非本质的特征(不重要)，\n 抽出共性的本质(重要的)过程。\n 三大特征：\n 封装：将每个变化点单独分解到不同的类中。\n 例如：老张开车去东北\n ... | [
0,
1
] |
class people:
<|reserved_special_token_0|>
def add_purchase(self, purchase):
self.purchases.append(purchase)
def add_description(self, description):
self.purchase_descrip.append(description)
<|reserved_special_token_0|>
<|reserved_special_token_0|>
def set_total(self):
... | flexible | {
"blob_id": "bdda42665acfefccad45a2b49f5436a186140579",
"index": 8576,
"step-1": "class people:\n <mask token>\n\n def add_purchase(self, purchase):\n self.purchases.append(purchase)\n\n def add_description(self, description):\n self.purchase_descrip.append(description)\n <mask token>\n... | [
13,
18,
20,
22,
24
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
if __name__ == '__main__':
run()
<|reserved_special_token_1|>
from ..src.script import run
if __name__ == '__main__':
run()
<|reserved_special_token_1|>
# 只放置可执行文件
#
# from ..src import package
# data_dict = package.... | flexible | {
"blob_id": "4f870e0d86d9f9b8c620115a618ea32abc24c52d",
"index": 3008,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nif __name__ == '__main__':\n run()\n",
"step-3": "from ..src.script import run\nif __name__ == '__main__':\n run()\n",
"step-4": "# 只放置可执行文件\n#\n# from ..src import package\n# d... | [
0,
1,
2,
3
] |
from Products.CMFPlone.utils import getFSVersionTuple
from bda.plone.ticketshop.interfaces import ITicketShopExtensionLayer
from plone.app.robotframework.testing import MOCK_MAILHOST_FIXTURE
from plone.app.testing import FunctionalTesting
from plone.app.testing import IntegrationTesting
from plone.app.testing import PL... | normal | {
"blob_id": "5d7080f2778133d1938853512ca038edcf7c0dc4",
"index": 1002,
"step-1": "<mask token>\n\n\nclass TicketshopATLayer(PloneSandboxLayer):\n defaultBases = PLONE_FIXTURE,\n\n def setUpZope(self, app, configurationContext):\n import Products.ATContentTypes\n self.loadZCML(package=Products... | [
4,
7,
10,
11,
14
] |
<|reserved_special_token_0|>
class xCNNlow(torch.nn.Module):
def __init__(self, channels, filters, kernel_size, padding=0, stride=1,
groups=1, rank=1, bias=True):
super(xCNNlow, self).__init__()
self.filters = filters
self.times = 2
self.kernel_size = kernel_size
s... | flexible | {
"blob_id": "f714c7006f50379cc7508a13d710d902d38d2d1f",
"index": 425,
"step-1": "<mask token>\n\n\nclass xCNNlow(torch.nn.Module):\n\n def __init__(self, channels, filters, kernel_size, padding=0, stride=1,\n groups=1, rank=1, bias=True):\n super(xCNNlow, self).__init__()\n self.filters =... | [
2,
3,
4,
5,
6
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def save_card(word, image_path, filepath='data/cards/', filename=None):
"""Функция для генерации и сохранения изображения
Возвращает filepath+filename
Параметры:
word - слово, чей контент будет на карточке
... | flexible | {
"blob_id": "6bf1d410a33e3b2535e39e4f8c5c7f8278b3de67",
"index": 330,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef save_card(word, image_path, filepath='data/cards/', filename=None):\n \"\"\"Функция для генерации и сохранения изображения\n Возвращает filepath+filename\n \n Параметры... | [
0,
1,
2,
3,
4
] |
n = int(input())
m = int(input())
x = int(input())
y = int(input())
if m < n:
if m - x < x:
x = m - x
if n - y < y:
y = n - y
else:
if n - x < x:
x = n - x
if m - y < y:
y = m - y
if x < y:
print(x)
else:
print(y)
| normal | {
"blob_id": "002cced6d24a4790d29f195355c795d609f744a7",
"index": 9134,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nif m < n:\n if m - x < x:\n x = m - x\n if n - y < y:\n y = n - y\nelse:\n if n - x < x:\n x = n - x\n if m - y < y:\n y = m - y\nif x < y:\n pr... | [
0,
1,
2
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class WebCommandException(SoftException):
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class WebCommandException(SoftException):
def __init__(self, description):
su... | flexible | {
"blob_id": "0f4864b745768994ea55a931e4d8b0681c058465",
"index": 2828,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass WebCommandException(SoftException):\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass WebCommandException(SoftException):\n\n def __init__(self, description):\n ... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
for root in rootsToAdd:
for elem in root:
root1.append(elem)
rutas0k_10k.write('rutas/rutas0k-110k.xml')
<|reserved_special_token_1|>
<|reserved_special_token_0|>
rutas0k_10k = ET.parse('rutas/rutas0k-10k.xml')
ruta... | flexible | {
"blob_id": "b4b7e20c9558bd1b29a1c1fa24bfca8a2d292b27",
"index": 398,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor root in rootsToAdd:\n for elem in root:\n root1.append(elem)\nrutas0k_10k.write('rutas/rutas0k-110k.xml')\n",
"step-3": "<mask token>\nrutas0k_10k = ET.parse('rutas/rutas0k... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
def generate_model(output_len, chars=None):
"""Generate the model"""
print('Build model...')
chars = chars or CHARS
model = Sequential()
for layer_number in range(INPUT_LAYERS):
model.add(recurrent.LSTM(HIDDEN_SIZE, input_shape=(None, len(chars)
), ... | flexible | {
"blob_id": "572a098053ebae4f42cd020d1003cc18eceb6af0",
"index": 4984,
"step-1": "<mask token>\n\n\ndef generate_model(output_len, chars=None):\n \"\"\"Generate the model\"\"\"\n print('Build model...')\n chars = chars or CHARS\n model = Sequential()\n for layer_number in range(INPUT_LAYERS):\n ... | [
6,
7,
8,
10,
12
] |
# Classic solution for merging two sorted arrays/list to a new one.
# (Based on Merge Sort)
class Solution:
def merge(self, nums1: List[int], m: int, nums2: List[int], n: int) -> None:
"""
m->Size of nums1 list
n->Size of nums2 list
"""
mergedArray = []
i = 0
... | normal | {
"blob_id": "a732e7141ffb403ca6c5d9c4204cb96c8e831aab",
"index": 6814,
"step-1": "<mask token>\n",
"step-2": "class Solution:\n <mask token>\n",
"step-3": "class Solution:\n\n def merge(self, nums1: List[int], m: int, nums2: List[int], n: int) ->None:\n \"\"\"\n m->Size of nums1 list\n ... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
class Rule:
def __init__(self, template, alive):
self.template = template
self.alive = alive
def parse(string):
match = rule_regex.match(string)
if match:
template = match.group(1)
alive = match.group(2)
return ... | flexible | {
"blob_id": "8c683c109aba69f296b8989915b1f3b3eecd9745",
"index": 4274,
"step-1": "<mask token>\n\n\nclass Rule:\n\n def __init__(self, template, alive):\n self.template = template\n self.alive = alive\n\n def parse(string):\n match = rule_regex.match(string)\n if match:\n ... | [
5,
7,
9,
10,
12
] |
# -*- coding: utf-8 -*-
from LibTools.filesystem import Carpeta
from slaves import SentinelSat
import settings
if __name__ == '__main__':
carpeta = Carpeta(settings.folder_sat)
sentinela = SentinelSat(carpeta)
sentinela.start_Monitoring()
| normal | {
"blob_id": "9e3f4484542c2629d636fcb4166584ba52bebe21",
"index": 2196,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nif __name__ == '__main__':\n carpeta = Carpeta(settings.folder_sat)\n sentinela = SentinelSat(carpeta)\n sentinela.start_Monitoring()\n",
"step-3": "from LibTools.filesystem im... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
def connect():
s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
s.connect((exchange_hostname, port))
return s.makefile('rw', 1)
def write_to_exchange(exchange, obj):
json.dump(obj, exchange)
exchange.write('\n')
<|reserved_special_token_0|>
def hello():
... | flexible | {
"blob_id": "56c5c515de8490f2e3516563e037c375aba03667",
"index": 3221,
"step-1": "<mask token>\n\n\ndef connect():\n s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)\n s.connect((exchange_hostname, port))\n return s.makefile('rw', 1)\n\n\ndef write_to_exchange(exchange, obj):\n json.dump(obj, ex... | [
5,
8,
9,
10,
16
] |
<|reserved_special_token_0|>
class OrderVector:
<|reserved_special_token_0|>
def insert(self, vertex):
if self.last_pos == self.size - 1:
print('Capacidad max do Vector atingida')
return
pos = 0
for i in range(self.last_pos + 1):
pos = i
... | flexible | {
"blob_id": "87291d066b94aca1d94cbe5d9281fc72da1b0c35",
"index": 9483,
"step-1": "<mask token>\n\n\nclass OrderVector:\n <mask token>\n\n def insert(self, vertex):\n if self.last_pos == self.size - 1:\n print('Capacidad max do Vector atingida')\n return\n pos = 0\n ... | [
6,
7,
9,
10,
11
] |
__author__ = 'jamjiang'
class Person:
def __init__(self, name):
self.name = name
def sayHi(self):
print 'hi!, I am', self.name
david = Person('David')
david.sayHi()
Person('leo').sayHi()
| normal | {
"blob_id": "fcc12b26308e3031de7e8fcf4ad43ec92279d400",
"index": 5922,
"step-1": "__author__ = 'jamjiang'\nclass Person:\n def __init__(self, name):\n self.name = name\n def sayHi(self):\n print 'hi!, I am', self.name\n\ndavid = Person('David')\ndavid.sayHi()\n\nPerson('leo').sayHi()\n\n"... | [
0
] |
# python2.7
#formats for oracle lists
import pyperclip
text = str(pyperclip.paste()).strip()
lines = text.split('\n')
for i in range(len(lines)):
if (i+1) < len(lines):
lines[i] = str('\'')+str(lines[i]).replace("\r","").replace("\n","") + str('\',')
elif (i+1) == len(lines):
lines[... | normal | {
"blob_id": "454fd88af552d7a46cb39167f21d641420973959",
"index": 2312,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor i in range(len(lines)):\n if i + 1 < len(lines):\n lines[i] = str(\"'\") + str(lines[i]).replace('\\r', '').replace('\\n', ''\n ) + str(\"',\")\n elif i + 1 ==... | [
0,
1,
2,
3,
4
] |
'''code for recursuve binary search '''
def rbinarysearch(l, k, begin, end):
if(begin == end):
if(l[begin] == k):
return 1
else:
return 0
if(end-begin == 1):
if(l[end] == k) or (l[begin] == k):
return 1
else:
return 0
if(end... | normal | {
"blob_id": "7171edc3eecd2f0cdebd914e89a7a7e0353ddf63",
"index": 9209,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef rbinarysearch(l, k, begin, end):\n if begin == end:\n if l[begin] == k:\n return 1\n else:\n return 0\n if end - begin == 1:\n if ... | [
0,
1,
2,
3
] |
#!/usr/bin/python
from PyMca5.PyMcaGui import PyMcaQt as qt
from RixsTool import mainWindow
app = qt.QApplication([])
win = mainWindow.RIXSMainWindow()
win.show()
app.exec_()
| normal | {
"blob_id": "34c8541e640596f51a5232cba06172df5814db14",
"index": 7734,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nwin.show()\napp.exec_()\n",
"step-3": "<mask token>\napp = qt.QApplication([])\nwin = mainWindow.RIXSMainWindow()\nwin.show()\napp.exec_()\n",
"step-4": "from PyMca5.PyMcaGui import P... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
class TotalReshape(Layer):
def __init__(self, target_shape, **kwargs):
self.target_shape = target_shape
super(TotalReshape, self).__init__(**kwargs)
def compute_output_shape(self, input_shape):
return tuple(x if x != -1 else None for x in self.target_shap... | flexible | {
"blob_id": "0eefae7e0d341d74154bbe480f5ed766829e3ce3",
"index": 3734,
"step-1": "<mask token>\n\n\nclass TotalReshape(Layer):\n\n def __init__(self, target_shape, **kwargs):\n self.target_shape = target_shape\n super(TotalReshape, self).__init__(**kwargs)\n\n def compute_output_shape(self, i... | [
17,
20,
24,
29,
31
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def clean_files(folder='.', posreg='.*[.]((py)|(rst))$', negreg=
'.*[.]git/.*', op='CR', fLOG=print):
"""
Cleans ``\\r`` in files a folder and subfolders with a given extensions.
Backslashes are replaces by ``/``... | flexible | {
"blob_id": "57972e6368aa5749edeab94e45d84f7897ca14ab",
"index": 8751,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef clean_files(folder='.', posreg='.*[.]((py)|(rst))$', negreg=\n '.*[.]git/.*', op='CR', fLOG=print):\n \"\"\"\n Cleans ``\\\\r`` in files a folder and subfolders with a gi... | [
0,
1,
2,
3,
4
] |
from django.conf.urls import url
from tree import views
urlpatterns = [
url('/home', views.home),
url('/about', views.about),
] | normal | {
"blob_id": "3313f01ed98433f4b150c4d8e877ac09eb8403b4",
"index": 5652,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nurlpatterns = [url('/home', views.home), url('/about', views.about)]\n",
"step-3": "from django.conf.urls import url\nfrom tree import views\nurlpatterns = [url('/home', views.home), ur... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
class Meaning(models.Model):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
def __str__(self):
if self.value is None:
return ''
return self.value[:20]
class Meta:
... | flexible | {
"blob_id": "067e0129b1a9084bbcee28d1973504299b89afdb",
"index": 8911,
"step-1": "<mask token>\n\n\nclass Meaning(models.Model):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n def __str__(self):\n if self.value is None:\n return ''\n return self.value[:20]... | [
13,
14,
15,
17,
19
] |
import unittest
from Spreadsheet.HTML import Table
class TestColGroup(unittest.TestCase):
def test_colgroup(self):
return
data = [
['a','b','c'],
[1,2,3],
[4,5,6],
]
gen = Table( { 'data': data, 'colgroup': { 'span': 3, 'width': 100 }, 'attr_so... | normal | {
"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
] |
<|reserved_special_token_0|>
def RandomString(Length):
Letters = string.ascii_lowercase
return ''.join(random.choice(Letters) for i in range(Length))
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def RandomString(Length):
Letters = string.ascii_lowercase
... | flexible | {
"blob_id": "ce11a5c2fbd6e0ea0f8ab293dc53afd07a18c25c",
"index": 6160,
"step-1": "<mask token>\n\n\ndef RandomString(Length):\n Letters = string.ascii_lowercase\n return ''.join(random.choice(Letters) for i in range(Length))\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\ndef RandomString(Length):\n ... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
@njit(parallel=True)
def parallel_test(subject_array, typeII_error, typeI_error, num):
test_result = np.zeros(subject_array.shape, dtype=int)
random_table = np.random.uniform(0, 1, (subject_array.shape[0], num))
for i in range(len(subject_array)):
subject = subject_arr... | flexible | {
"blob_id": "e564e0d05c3c0e60f356422722803df510d9dd0b",
"index": 281,
"step-1": "<mask token>\n\n\n@njit(parallel=True)\ndef parallel_test(subject_array, typeII_error, typeI_error, num):\n test_result = np.zeros(subject_array.shape, dtype=int)\n random_table = np.random.uniform(0, 1, (subject_array.shape[0... | [
10,
14,
15,
17,
20
] |
import pandas as pd
def _get_site_name(f,i):
data_file = f +"\\"+"new_desc_sele_data.csv"
site_name=pd.read_csv(data_file)["SITE_ID"][i]
return site_name
def _get_site_DD_dataset_csv(f,i):
'''获取经过全部数据集（经过全部的特征选择）'''
site_path=_get_site_folder(f,i)
data_path=site_path+"\\data_confirm.csv"
... | normal | {
"blob_id": "c034fba0b9204545b00ba972a17e63cf9c20854e",
"index": 3930,
"step-1": "<mask token>\n\n\ndef _get_site_name(f, i):\n data_file = f + '\\\\' + 'new_desc_sele_data.csv'\n site_name = pd.read_csv(data_file)['SITE_ID'][i]\n return site_name\n\n\n<mask token>\n\n\ndef _get_version_res_folder(f, ve... | [
3,
4,
6,
7,
8
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
@bot.event
async def on_ready():
print(f'Logged in as {bot.user.name}')
@bot.command()
async def ping(ctx):
await ctx.send('pong')
@bot.command()
async def lucky(ctx):
spamCount = random.randint(0, 50)
for nu... | flexible | {
"blob_id": "b48bc9475a8dc593ba858af8ed4e930ae290fd69",
"index": 6479,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\n@bot.event\nasync def on_ready():\n print(f'Logged in as {bot.user.name}')\n\n\n@bot.command()\nasync def ping(ctx):\n await ctx.send('pong')\n\n\n@bot.command()\nasync def luck... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
test_f.close()
<|reserved_special_token_0|>
expected_f.close()
assert len(inputs) == len(expecteds)
for i in range(len(inputs)):
connection.request('GET', '<start>%s<end>' % inputs[i])
response = connection.getresponse()
... | flexible | {
"blob_id": "cd9b04a93d85ba0ee2a38b534386f9aec0ef6895",
"index": 5165,
"step-1": "<mask token>\n",
"step-2": "<mask token>\ntest_f.close()\n<mask token>\nexpected_f.close()\nassert len(inputs) == len(expecteds)\nfor i in range(len(inputs)):\n connection.request('GET', '<start>%s<end>' % inputs[i])\n resp... | [
0,
1,
2,
3,
4
] |
from auth_passwordreset_reset import auth_passwordreset_reset
from auth_register import auth_register
from data import *
import pytest
#invalid reset code
def test_auth_passwordreset_reset1():
#create a test account
register = auth_register("Someemial@hotmail.com.au", "Hello123", "First", "Last")
... | normal | {
"blob_id": "a315d01f0fb16f0c74c447c07b76f33e6ff6427d",
"index": 9742,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef test_auth_passwordreset_reset1():\n register = auth_register('Someemial@hotmail.com.au', 'Hello123',\n 'First', 'Last')\n auth_passwordreset_request('Someemial@hotmai... | [
0,
2,
3,
4,
5
] |
from bs4 import BeautifulSoup
import urllib.request
import re
import math
url_header = "http://srh.bankofchina.com/search/whpj/search.jsp?erectDate=2016-01-25¬hing=2016-02-25&pjname=1314"
Webpage = urllib.request.urlopen(url_header).read()
Webpage=Webpage.decode('UTF-8')
# soup = BeautifulSoup(Webpage)
print (Webp... | normal | {
"blob_id": "62a86bd33755510f0d71f4920e63be1a3ce8c563",
"index": 6304,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(Webpage)\n<mask token>\nprint(a)\n<mask token>\nprint(total_page)\n",
"step-3": "<mask token>\nurl_header = (\n 'http://srh.bankofchina.com/search/whpj/search.jsp?erectDate=201... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
class MyLoginView(LoginView):
redirect_authenticated_user = True
template_name = 'login.html'
class HomeView(View):
def get(self, request, *args, **kwargs):
form = NewVacancyForm() if request.user.is_staff else NewResumeForm()
context = {'form': form, 'is_au... | flexible | {
"blob_id": "a75691af17f6d1effd469d5c2ded340c71521ee1",
"index": 9310,
"step-1": "<mask token>\n\n\nclass MyLoginView(LoginView):\n redirect_authenticated_user = True\n template_name = 'login.html'\n\n\nclass HomeView(View):\n\n def get(self, request, *args, **kwargs):\n form = NewVacancyForm() i... | [
4,
6,
7,
8,
10
] |
<|reserved_special_token_0|>
def to_matrix(lines, token_to_id, max_len=None, pad=0, dtype='int32',
time_major=False):
"""Converts a list of names into rnn-digestable matrix with paddings added after the end"""
max_len = max_len or max(map(len, lines))
matrix = np.empty([len(lines), max_len], dtype)
... | flexible | {
"blob_id": "7f7ebc6d3d69fbb19071c63a9ab235ad01f1d414",
"index": 306,
"step-1": "<mask token>\n\n\ndef to_matrix(lines, token_to_id, max_len=None, pad=0, dtype='int32',\n time_major=False):\n \"\"\"Converts a list of names into rnn-digestable matrix with paddings added after the end\"\"\"\n max_len = ma... | [
4,
5,
6,
7,
9
] |
# https://leetcode.com/problems/how-many-numbers-are-smaller-than-the-current-number/
# BruteForce
class BruteForceSolution:
def smallerNumbersThanCurrent(self, nums):
answer = []
for num in nums:
counter = 0
for i in range(len(nums)):
if n... | normal | {
"blob_id": "58e023c3c453d1e190fdb5bc457358f42d1bd93f",
"index": 397,
"step-1": "class BruteForceSolution:\n <mask token>\n\n\nclass Solution:\n\n def smallerNumbersThanCurrent(self, nums):\n answer = []\n sortedNums = sorted(nums)\n for num in nums:\n answer.append(sortedNu... | [
3,
4,
5,
6,
7
] |
def drive(carspeed):
if carspeed>200:
print("very fast")
elif carspeed>100:
print("toofast")
elif carspeed>70 and carspeed<80:
print("optimal speed")
else:
print("below speed limit")
print(drive(234))
print(drive(34))
drive(134)
#how none will be removed?
def compare(a):
if a>11:
print("big")
elif a==1... | normal | {
"blob_id": "de3eaa5823fb396050527c148273c30bed6ce8ca",
"index": 2644,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef compare(a):\n if a > 11:\n print('big')\n elif a == 10:\n print('reallybig')\n\n\n<mask token>\n",
"step-3": "def drive(carspeed):\n if carspeed > 200:\n ... | [
0,
1,
2,
3,
4
] |
import discord
import requests
import math
from keys import GITHUB_DISCORD_TOKEN, GITHUB_FORTNITE_API_KEY
client = discord.Client()
# Constant
DISCORD_TOKEN = GITHUB_DISCORD_TOKEN
FORTNITE_API_KEY = GITHUB_FORTNITE_API_KEY
LIST = ['Verified']
VERIFIED = 4
# Return the current season squad K/D of the fortnite player... | normal | {
"blob_id": "6c6a49dfced680fe034cbbc2fa28d57d2aa1273e",
"index": 8973,
"step-1": "<mask token>\n\n\ndef get_ratio(username):\n try:\n print(username)\n link = 'https://api.fortnitetracker.com/v1/profile/pc/' + username\n response = requests.get(link, headers={'TRN-Api-Key': FORTNITE_API_K... | [
1,
2,
3,
4,
5
] |
from django.db import models
class FoodCategory(models.Model):
id = models.AutoField(primary_key=True)
name = models.CharField(max_length=200, default='')
class Meta:
db_table = 'kitchenrock_category'
def __str__(self):
return self.name
| normal | {
"blob_id": "9bb1fc4df80d183c70d70653faa3428964b93a94",
"index": 9494,
"step-1": "<mask token>\n\n\nclass FoodCategory(models.Model):\n <mask token>\n <mask token>\n\n\n class Meta:\n db_table = 'kitchenrock_category'\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass FoodCategory(models.... | [
1,
2,
3,
4
] |
import torch
from torch import nn
import torch.nn.functional as F
class JointModel(nn.Module):
def __init__(self, d_v, d_e, d_t, encoder_layers, generator_layers,encoder_shortcut, generator_shortcut, generator_transform,
num_word, emb_size, word_rnn_size, word_rnn_num_layer, word_rnn_dropout, word... | normal | {
"blob_id": "4f3e297b6925f8d65aacaa59bb837e746747c33f",
"index": 2608,
"step-1": "<mask token>\n\n\nclass JointModel(nn.Module):\n\n def __init__(self, d_v, d_e, d_t, encoder_layers, generator_layers,\n encoder_shortcut, generator_shortcut, generator_transform, num_word,\n emb_size, word_rnn_siz... | [
5,
6,
8,
11,
12
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
from external.odds.betclic.api import get_odds
<|reserved_special_token_1|>
from external.odds.betclic.api import get_odds
# FDJ parsing is broken - their UI has been refactored with JS framework &
# protected async JSON API usage (requires HEADERS) and m... | flexible | {
"blob_id": "8b583ee55df409020a605b467479236e610a2efe",
"index": 3646,
"step-1": "<mask token>\n",
"step-2": "from external.odds.betclic.api import get_odds\n",
"step-3": "from external.odds.betclic.api import get_odds\n\n# FDJ parsing is broken - their UI has been refactored with JS framework &\n# protected... | [
0,
1,
2
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
with open(
'D:\\Documents\\PythonDocs\\ehmatthes-pcc-f555082\\chapter_10\\programming.txt'
) as f_obj:
lines = f_obj.readlines()
<|reserved_special_token_0|>
for line in lines:
m_line = line.replace('python', 'C#')... | flexible | {
"blob_id": "03da813650d56e7ab92885b698d4af3a51176903",
"index": 3878,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nwith open(\n 'D:\\\\Documents\\\\PythonDocs\\\\ehmatthes-pcc-f555082\\\\chapter_10\\\\programming.txt'\n ) as f_obj:\n lines = f_obj.readlines()\n<mask token>\nfor line in lines:... | [
0,
1,
2,
3,
4
] |
k = 0
for x in range(100, 1000, 2):
x = str(x)
if x[0] == x[1] or x[0] == x[2] or x[1] == x[2]:
k += 1
print(k)
| normal | {
"blob_id": "af6dd7bde25453f25c0701e4ac246ff6bce29fa7",
"index": 1141,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor x in range(100, 1000, 2):\n x = str(x)\n if x[0] == x[1] or x[0] == x[2] or x[1] == x[2]:\n k += 1\nprint(k)\n",
"step-3": "k = 0\nfor x in range(100, 1000, 2):\n x ... | [
0,
1,
2
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
class Solution:
<|reserved_special_token_0|>
<|reserved_special_token_1|>
class Solution:
def minNumberOfFrogs(self, croakOfFrogs: str) ->int:
c, r, o, a, k = 0, 0, 0, 0, 0
ans = 0
for i in range(len(croakOfFrogs)):
... | flexible | {
"blob_id": "b4491b5522e85fec64164b602045b9bd3e58c5b8",
"index": 4666,
"step-1": "<mask token>\n",
"step-2": "class Solution:\n <mask token>\n",
"step-3": "class Solution:\n\n def minNumberOfFrogs(self, croakOfFrogs: str) ->int:\n c, r, o, a, k = 0, 0, 0, 0, 0\n ans = 0\n for i in ... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
@app.route('/buy', methods=['GET', 'POST'])
@login_required
def buy():
"""Buy shares of stock"""
if request.method == 'POST':
if not request.form.get('symbol'):
return apology('must provide symbol', 400)
elif not request.form.get('shares'):
... | flexible | {
"blob_id": "c66f4ee5719f764c8c713c23815302c00b6fb9af",
"index": 310,
"step-1": "<mask token>\n\n\n@app.route('/buy', methods=['GET', 'POST'])\n@login_required\ndef buy():\n \"\"\"Buy shares of stock\"\"\"\n if request.method == 'POST':\n if not request.form.get('symbol'):\n return apolog... | [
3,
9,
13,
14,
15
] |
# *Using Min & Max Exercise
def extremes(nums):
return (max(nums), min(nums))
| normal | {
"blob_id": "0577c274672bac333500535f21f568ade62100c7",
"index": 3580,
"step-1": "<mask token>\n",
"step-2": "def extremes(nums):\n return max(nums), min(nums)\n",
"step-3": "\n# *Using Min & Max Exercise\ndef extremes(nums):\n return (max(nums), min(nums))\n",
"step-4": null,
"step-5": null,
"st... | [
0,
1,
2
] |
<|reserved_special_token_0|>
def estudios(Minisoup):
print('2.Estudios')
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def estudios(Minisoup):
print('2.Estudios')
try:
html_content = requests.get(url2).text
except:
print(f'unable to get {url2}')
sy... | flexible | {
"blob_id": "846682072a125c76fc9ffa011109abce7c3bb5d7",
"index": 3269,
"step-1": "<mask token>\n\n\ndef estudios(Minisoup):\n print('2.Estudios')\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\ndef estudios(Minisoup):\n print('2.Estudios')\n\n\ntry:\n html_content = requests.get(url2).text\nexcept:... | [
1,
2,
3,
4,
5
] |
# -*- coding: utf-8 -*-
#some xml helpers
from xml.dom.minidom import Document
class XMLReport:
def __init__(self, name):
self.doc = Document()
self.main_node = self.add(name, node=self.doc)
def add(self, name, node=None):
if node is None: node = self.main_node
elem = self.doc.createElement(name)
... | normal | {
"blob_id": "146487738006ce3efb5bd35c425835a1fd8e0145",
"index": 9490,
"step-1": "# -*- coding: utf-8 -*-\n#some xml helpers\nfrom xml.dom.minidom import Document\n\nclass XMLReport:\n def __init__(self, name):\n\tself.doc = Document()\n\tself.main_node = self.add(name, node=self.doc)\n \n def add(s... | [
0
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
def get_case(str_arg):
first_life_and_work(str_arg)
print('small_hand')
<|reserved_special_token_0|>
<|reserved_special_token_1|>
def get_case(str_arg):
first_life_and_work(str_arg)
print('small_hand')
def first_life_and_work(str_arg):
... | flexible | {
"blob_id": "7a2ac3a3a2bbd7349e8cc62b4d357394d9600cc8",
"index": 6326,
"step-1": "<mask token>\n",
"step-2": "def get_case(str_arg):\n first_life_and_work(str_arg)\n print('small_hand')\n\n\n<mask token>\n",
"step-3": "def get_case(str_arg):\n first_life_and_work(str_arg)\n print('small_hand')\n\... | [
0,
1,
2,
3,
4
] |
def firstDuplicate(array):
"""
Time O(n) | Space O(n)
"""
dic = {}
for num in array:
if num in dic:
return num
else:
dic[num] = True
return -1
print(firstDuplicate([2, 1, 3, 5, 3]))
| normal | {
"blob_id": "47259844f76f12060f0cf52f1086c05b9f300175",
"index": 8581,
"step-1": "<mask token>\n",
"step-2": "def firstDuplicate(array):\n \"\"\"\n Time O(n) | Space O(n)\n \"\"\"\n dic = {}\n for num in array:\n if num in dic:\n return num\n else:\n dic[num] ... | [
0,
1,
2
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
application_vue_demo = Blueprint('application_vue_demo', __name__)
<|reserved_special_token_0|>
<|reserved_special_token_1|>
from flask import Blueprint
application_vue_demo = Blueprint('application_vue_demo', __name__)
from . ... | flexible | {
"blob_id": "a33abd253288140f8051aced1d0ed1e41b2fc786",
"index": 8067,
"step-1": "<mask token>\n",
"step-2": "<mask token>\napplication_vue_demo = Blueprint('application_vue_demo', __name__)\n<mask token>\n",
"step-3": "from flask import Blueprint\napplication_vue_demo = Blueprint('application_vue_demo', __n... | [
0,
1,
2
] |
import os
if __name__ == "__main__":
os.environ.setdefault("DJANGO_SETTINGS_MODULE", "day66.settings")
import django
django.setup()
from applistions.models import MyClass,Student,Teacher,Employee
from django.db.models import Avg, Sum, Max, Min, Count
# 1.求所有人里面工资最高的
ret = Employee.object... | normal | {
"blob_id": "ee72262fb29b46784fb357269dd5160192968c1b",
"index": 1713,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nif __name__ == '__main__':\n os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'day66.settings')\n import django\n django.setup()\n from applistions.models import MyClass, Stude... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
class Dot(Sprite):
<|reserved_special_token_0|>
def update(self, dt):
arena = self.parent.parent
snake = arena.snake
self.check_kill(snake)
for s in arena.enemies:
self.check_kill(s)
<|reserved_special_token_0|>
<|reserved_special... | flexible | {
"blob_id": "be06a0ad22f4ae9ab4c0acea6a7c601c14a90fc4",
"index": 1995,
"step-1": "<mask token>\n\n\nclass Dot(Sprite):\n <mask token>\n\n def update(self, dt):\n arena = self.parent.parent\n snake = arena.snake\n self.check_kill(snake)\n for s in arena.enemies:\n self... | [
2,
4,
5,
6,
7
] |
<|reserved_special_token_0|>
def init():
glClearColor(1.0, 1.0, 1.0, 1.0)
glClear(GL_COLOR_BUFFER_BIT)
glColor3f(1.0, 0.0, 0.0)
glPointSize(2)
gluOrtho2D(0.0, 500.0, 0.0, 500.0)
<|reserved_special_token_0|>
def mouse(btn, state, x, y):
global t_start
if btn == 0 and state == 1:
... | flexible | {
"blob_id": "d85c0929b22f57367c0e707bac78e56027113417",
"index": 4539,
"step-1": "<mask token>\n\n\ndef init():\n glClearColor(1.0, 1.0, 1.0, 1.0)\n glClear(GL_COLOR_BUFFER_BIT)\n glColor3f(1.0, 0.0, 0.0)\n glPointSize(2)\n gluOrtho2D(0.0, 500.0, 0.0, 500.0)\n\n\n<mask token>\n\n\ndef mouse(btn, s... | [
4,
6,
7,
8,
9
] |
<|reserved_special_token_0|>
class curso(db.Model):
idcurso = db.Column(db.Integer, primary_key=True)
nombre_curso = db.Column(db.String(45))
precio = db.Column(db.Integer)
def __init__(self, nombre, precio):
self.nombre_curso = nombre
self.precio = precio
<|reserved_special_token_0... | flexible | {
"blob_id": "5c1d1eafb913822be9b6e46b15c6886f8bf3e2e1",
"index": 3622,
"step-1": "<mask token>\n\n\nclass curso(db.Model):\n idcurso = db.Column(db.Integer, primary_key=True)\n nombre_curso = db.Column(db.String(45))\n precio = db.Column(db.Integer)\n\n def __init__(self, nombre, precio):\n se... | [
9,
10,
11,
13,
14
] |
import torch
import torch.nn as nn
class DehazeNet(nn.Module):
def __init__(self, input=16, groups=4):
super(DehazeNet, self).__init__()
self.conv1 = nn.Conv2d(in_channels=3, out_channels=16, kernel_size=5)
self.relu1 = nn.ReLU()
self.conv2 = nn.Conv2d(in_channels=4, out_channels=... | normal | {
"blob_id": "a8cf8d0965cb877d50cee403fbc30f27484f4f36",
"index": 8201,
"step-1": "<mask token>\n\n\nclass DehazeNet(nn.Module):\n <mask token>\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass DehazeNet(nn.Module):\n\n def __init__(self, input=16, groups=4):\n super(DehazeNet, self).__init_... | [
1,
2,
3,
4,
5
] |
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