code stringlengths 13 6.09M | order_type stringclasses 2
values | original_example dict | step_ids listlengths 1 5 |
|---|---|---|---|
<|reserved_special_token_0|>
def ph_transform_2B(Gamma, bas2B, idx2B, basph2B, idxph2B):
dim = len(basph2B)
Gamma_ph = np.zeros((dim, dim))
for i1, (a, b) in enumerate(basph2B):
for i2, (c, d) in enumerate(basph2B):
Gamma_ph[i1, i2] -= Gamma[idx2B[a, d], idx2B[c, b]]
return Gamma_p... | flexible | {
"blob_id": "0eb86fc64b74c79cace838e2d71ed92533123229",
"index": 9910,
"step-1": "<mask token>\n\n\ndef ph_transform_2B(Gamma, bas2B, idx2B, basph2B, idxph2B):\n dim = len(basph2B)\n Gamma_ph = np.zeros((dim, dim))\n for i1, (a, b) in enumerate(basph2B):\n for i2, (c, d) in enumerate(basph2B):\n ... | [
17,
18,
20,
21,
29
] |
import numpy as np
class EdgeListError(ValueError):
pass
def check_edge_list(src_nodes, dst_nodes, edge_weights):
"""Checks that the input edge list is valid."""
if len(src_nodes) != len(dst_nodes):
raise EdgeListError("src_nodes and dst_nodes must be of same length.")
if edge_weights is N... | normal | {
"blob_id": "cdbc7d703da69adaef593e6a505be25d78beb7ce",
"index": 7815,
"step-1": "<mask token>\n\n\nclass EdgeListError(ValueError):\n pass\n\n\n<mask token>\n\n\nclass AdjacencyMatrixError(ValueError):\n pass\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\nclass EdgeListError(ValueError):\n pass\n... | [
2,
4,
5,
6,
8
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
def extendedEuclid(a, b):
"""
Preconditions - a and b are both positive integers.
Posconditions - The equation for ax+by=gcd(a,b) has been returned where
x and y are solved.
Input - a : int, b : int
Output - ax+by=gcd(a... | flexible | {
"blob_id": "36e5b0f40b8016f39120f839766db0ac518c9bed",
"index": 4712,
"step-1": "<mask token>\n",
"step-2": "def extendedEuclid(a, b):\n \"\"\"\n Preconditions - a and b are both positive integers.\n Posconditions - The equation for ax+by=gcd(a,b) has been returned where\n x and y ... | [
0,
1,
2
] |
"""Config flow for Philips TV integration."""
from __future__ import annotations
from collections.abc import Mapping
import platform
from typing import Any
from haphilipsjs import ConnectionFailure, PairingFailure, PhilipsTV
import voluptuous as vol
from homeassistant import config_entries, core
from homeassistant.c... | normal | {
"blob_id": "515967656feea176e966de89207f043f9cc20c61",
"index": 6716,
"step-1": "<mask token>\n\n\nclass ConfigFlow(config_entries.ConfigFlow, domain=DOMAIN):\n <mask token>\n <mask token>\n\n def __init__(self) ->None:\n \"\"\"Initialize flow.\"\"\"\n super().__init__()\n self._cu... | [
6,
9,
10,
11,
12
] |
import os
from flask import Flask
# from flask_login import LoginManager
from flask_sqlalchemy import SQLAlchemy
# from flask_bcrypt import Bcrypt
from flask_wtf.csrf import CSRFProtect
app = Flask(__name__)
csrf = CSRFProtect(app)
# bcrypt = Bcrypt(app)
app.config['SECRET_KEY'] = 'v\xf9\xf7\x11\x13\x18\xfaMYp\xed_\x... | normal | {
"blob_id": "24c9b562411a63f0d3f2ee509bb60dafe7fbecd1",
"index": 373,
"step-1": "<mask token>\n",
"step-2": "<mask token>\napp.config.from_object(__name__)\n<mask token>\n",
"step-3": "<mask token>\napp = Flask(__name__)\ncsrf = CSRFProtect(app)\napp.config['SECRET_KEY'] = 'vù÷\\x11\\x13\\x18úMYpí_èÉw\\x06\\... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
class Leaky_Relu(Layer):
def forward(self, x):
self.x = x.copy()
return np.maximum(x, self.x * 0.01)
def backprop(self, back_grad):
grad = back_grad.copy()
grad[self.x < 0] = grad[self.x < 0] * 0.01
return grad
class Tanh(Layer):
de... | flexible | {
"blob_id": "a5a764586faabb5af58f4649cdd20b6b18236a99",
"index": 6080,
"step-1": "<mask token>\n\n\nclass Leaky_Relu(Layer):\n\n def forward(self, x):\n self.x = x.copy()\n return np.maximum(x, self.x * 0.01)\n\n def backprop(self, back_grad):\n grad = back_grad.copy()\n grad[se... | [
19,
29,
32,
34,
38
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
print(bots.split('\n'))
botnet.close()
<|reserved_special_token_1|>
botnet = open('bots.txt', 'r')
bots = botnet.read()
print(bots.split('\n'))
botnet.close()
<|reserved_special_token_1|>
botnet = open("bots.txt","r")
bots =... | flexible | {
"blob_id": "ea876d903263c907f63b2f37a81f2576345dae62",
"index": 7692,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(bots.split('\\n'))\nbotnet.close()\n",
"step-3": "botnet = open('bots.txt', 'r')\nbots = botnet.read()\nprint(bots.split('\\n'))\nbotnet.close()\n",
"step-4": "botnet = open(\"b... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
for _ in range(num_down):
img_color = cv2.pyrDown(img_color)
for _ in range(num_bilateral):
img_color = cv2.bilateralFilter(img_color, d=9, sigmaColor=9, sigmaSpace=7)
for _ in range(num_down):
img_color = cv2.pyrUp(im... | flexible | {
"blob_id": "16db443642746af4ae45862627baaa9eca54a165",
"index": 3138,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor _ in range(num_down):\n img_color = cv2.pyrDown(img_color)\nfor _ in range(num_bilateral):\n img_color = cv2.bilateralFilter(img_color, d=9, sigmaColor=9, sigmaSpace=7)\nfor _ i... | [
0,
1,
2,
3,
4
] |
import requests
# url="http://www.google.com"
# response=requests.get(url)
# print(response.status_code)
url = "http://icanhazdadjoke.com/"
response = requests.get(url, headers={"Accept": "application/json"})
data = response.text
print(type(data))
data = response.json()
print(data)
| normal | {
"blob_id": "f94894e5d3e6a0ff367911c72f4d863ac32c8baa",
"index": 1435,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(type(data))\n<mask token>\nprint(data)\n",
"step-3": "<mask token>\nurl = 'http://icanhazdadjoke.com/'\nresponse = requests.get(url, headers={'Accept': 'application/json'})\ndata ... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
def f(A):
if len(A) == 1:
return 0
else:
rightStart = len(A) // 2
leftArray = A[0:rightStart]
righArray = A[rightStart:]
B, b = count_and_sort(leftArray)
C, c = count_and_sort(righArray)
D, d = count_and_sort_split(B, C)
... | flexible | {
"blob_id": "b5611c668a40e1735c92d6d00867885023ad713f",
"index": 248,
"step-1": "<mask token>\n\n\ndef f(A):\n if len(A) == 1:\n return 0\n else:\n rightStart = len(A) // 2\n leftArray = A[0:rightStart]\n righArray = A[rightStart:]\n B, b = count_and_sort(leftArray)\n ... | [
2,
3,
4,
5
] |
# Copyright (c) 2021 Koichi Sakata
from pylib_sakata import init as init
# uncomment the follows when the file is executed in a Python console.
# init.close_all()
# init.clear_all()
import os
import shutil
import numpy as np
from control import matlab
from pylib_sakata import ctrl
from pylib_sakata import plot
prin... | normal | {
"blob_id": "ad1aa69f92f104ac8b82aca3c0a64ce3de48b36d",
"index": 3847,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint('Start simulation!')\n<mask token>\nif os.path.exists(figurefolderName):\n shutil.rmtree(figurefolderName)\nos.makedirs(figurefolderName)\n<mask token>\nprint('Common parameters ... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
class BaseModelApi(TemplateView, ModelFormMixin):
def get_template_names(self):
prefix = self.request.method
if prefix in ['PUT', 'PATCH', 'POST']:
prefix = 'form'
name = self.model
return [f'{name}/{name}_{prefix}.html']
<|reserved_spe... | flexible | {
"blob_id": "a63e5186c0eb8b5ae8510b473168db3461166513",
"index": 7784,
"step-1": "<mask token>\n\n\nclass BaseModelApi(TemplateView, ModelFormMixin):\n\n def get_template_names(self):\n prefix = self.request.method\n if prefix in ['PUT', 'PATCH', 'POST']:\n prefix = 'form'\n na... | [
14,
15,
21,
25,
26
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
after_process.head(5)
after_process.to_csv(path_or_buf=
'E:\\Thesis Content\\ukdale CSV\\Without Noise\\Tvday.csv', sep=',',
index_label='date')
<|reserved_special_token_1|>
<|reserved_special_token_0|>
data = pd.read_c... | flexible | {
"blob_id": "19c0c3156488ce99316ce40f32e84e476b7afdac",
"index": 2754,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nafter_process.head(5)\nafter_process.to_csv(path_or_buf=\n 'E:\\\\Thesis Content\\\\ukdale CSV\\\\Without Noise\\\\Tvday.csv', sep=',',\n index_label='date')\n",
"step-3": "<mask ... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
def main():
print('##############################')
response = requests.get(
'http://www.muenchen.de/rathaus/Serviceangebote/familie/kinderbetreuung/corona.html#geschlossene-kitas-oder-kitagruppen-_6'
, headers=headers)
soup = BeautifulSoup(response.text, 'lxml... | flexible | {
"blob_id": "5a4a014d07cf312f148e089ea43484f663ce32bc",
"index": 8586,
"step-1": "<mask token>\n\n\ndef main():\n print('##############################')\n response = requests.get(\n 'http://www.muenchen.de/rathaus/Serviceangebote/familie/kinderbetreuung/corona.html#geschlossene-kitas-oder-kitagrupp... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
class OneCycleScheduler(Callback):
<|reserved_special_token_0|>
def __init__(self, lr_max, steps, mom_min=0.85, mom_max=0.95,
phase_1_pct=0.3, div_factor=25.0):
super(OneCycleScheduler, self).__init__()
lr_min = lr_max / div_factor
final_lr = lr_ma... | flexible | {
"blob_id": "056235f8f65a3d6a310ee8a8742c1369b5398f28",
"index": 7749,
"step-1": "<mask token>\n\n\nclass OneCycleScheduler(Callback):\n <mask token>\n\n def __init__(self, lr_max, steps, mom_min=0.85, mom_max=0.95,\n phase_1_pct=0.3, div_factor=25.0):\n super(OneCycleScheduler, self).__init_... | [
7,
11,
15,
16,
19
] |
# -*- coding: utf-8 -*-
"""
:Author: Dominic Hunt
"""
import numpy as np
import logging
import itertools
import copy
import types
import utils
class FitSubsetError(Exception):
pass
class ActionError(Exception):
pass
class StimuliError(Exception):
pass
class FitSim(object)... | normal | {
"blob_id": "1d5db3db319e67e050036e718bbe0c538365d229",
"index": 1976,
"step-1": "<mask token>\n\n\nclass FitSim(object):\n <mask token>\n\n def __init__(self, participant_choice_property='Actions',\n participant_reward_property='Rewards', model_fitting_variable=\n 'ActionProb', task_stimuli_... | [
12,
15,
16,
17,
19
] |
<|reserved_special_token_0|>
@pytest.fixture(scope='session', autouse=True)
def stop(request):
global fixture
def finalizer():
fixture.session.ensure_logout()
fixture.destroy()
request.addfinalizer(finalizer)
return fixture
<|reserved_special_token_0|>
def pytest_generate_tests(me... | flexible | {
"blob_id": "0c0fb3bfb81be5ef6a60584eafeefec61f171679",
"index": 9124,
"step-1": "<mask token>\n\n\n@pytest.fixture(scope='session', autouse=True)\ndef stop(request):\n global fixture\n\n def finalizer():\n fixture.session.ensure_logout()\n fixture.destroy()\n request.addfinalizer(finalize... | [
4,
5,
6,
7,
9
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
if word[0].islower():
print('{}{}'.format(word[0].upper(), word[1:]))
sys.exit()
else:
print(word)
sys.exit()
<|reserved_special_token_1|>
<|reserved_special_token_0|>
word = input()
if word[0].islower():
pr... | flexible | {
"blob_id": "227e78312b5bad85df562b6ba360de352c305e7b",
"index": 3913,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nif word[0].islower():\n print('{}{}'.format(word[0].upper(), word[1:]))\n sys.exit()\nelse:\n print(word)\n sys.exit()\n",
"step-3": "<mask token>\nword = input()\nif word[0... | [
0,
1,
2,
3
] |
from django import forms
from .models import BlogPost
class BlogPostForm(forms.ModelForm):
class Meta:
model = BlogPost
fields = '__all__'
| normal | {
"blob_id": "c4624425f57211e583b5fbaec3943539ce6fea6f",
"index": 88,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass BlogPostForm(forms.ModelForm):\n\n\n class Meta:\n model = BlogPost\n fields = '__all__'\n",
"step-3": "from django import forms\nfrom .models import BlogPost\n... | [
0,
1,
2
] |
<|reserved_special_token_0|>
def send(user_id, input_text, api_key=None):
if not api_key:
api_key = default_api_key
msg = {'reqType': 0, 'perception': {'inputText': {'text': input_text},
'selfInfo': {'location': {'city': '北京', 'province': '北京'}}},
'userInfo': {'apiKey': api_key, 'userI... | flexible | {
"blob_id": "15539d824490b7ae4724e7c11949aa1db25ecab2",
"index": 5112,
"step-1": "<mask token>\n\n\ndef send(user_id, input_text, api_key=None):\n if not api_key:\n api_key = default_api_key\n msg = {'reqType': 0, 'perception': {'inputText': {'text': input_text},\n 'selfInfo': {'location': {'... | [
2,
3,
4,
5,
6
] |
import os
from logzero import logger as log
from extract import data_generator
from transform import create_dataframe
def bigquery(
datafile,
dataset=os.environ["BQDATASET"],
project=os.environ["GCPPROJECT"],
schema=[
{"name": "conversation", "type": "STRING"},
{"name": "id", "type": ... | normal | {
"blob_id": "d6046217308745b85455aed78734700b9622782c",
"index": 7559,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef bigquery(datafile, dataset=os.environ['BQDATASET'], project=os.environ[\n 'GCPPROJECT'], schema=[{'name': 'conversation', 'type': 'STRING'}, {\n 'name': 'id', 'type': 'INTEG... | [
0,
1,
2,
3
] |
import jiml.cli
def write_file(path, text):
path.write_text(text)
return path
def test_argparse(tmp_path):
tmpl = write_file(tmp_path / 't.yaml', 'key: {{ var }}')
inp = write_file(tmp_path / 'i.json', '{"var": "Hello!"}')
out = tmp_path / 'o.json'
jiml.cli.main(jiml.cli.parse_args(
... | normal | {
"blob_id": "700d35f9e941fe9325821a377ec1ca1c245ddaec",
"index": 176,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef write_file(path, text):\n path.write_text(text)\n return path\n\n\n<mask token>\n",
"step-3": "<mask token>\n\n\ndef write_file(path, text):\n path.write_text(text)\n ... | [
0,
1,
2,
3,
4
] |
import constants
from auth.storage import Storage
from utils import create_error_with_status
from flask import jsonify, request, current_app
def register_user():
try:
email = request.json["email"]
password = request.json["password"]
except KeyError:
status = constants.statuses["user"... | normal | {
"blob_id": "73a4b3497952f90029ba24b73b835de53fc687ec",
"index": 3349,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef register_user():\n try:\n email = request.json['email']\n password = request.json['password']\n except KeyError:\n status = constants.statuses['user']['... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
class KdTree:
<|reserved_special_token_0|>
def __init__(self):
self.root = None
def create(self, X, dimensions=None):
"""
create a kd-tree on data X.
:param X: shape is (n_samples, n_features).
:param dimensions: the max number of feat... | flexible | {
"blob_id": "2f16c74e51789dd06bfc1fe1c6173fa5b0ac38cd",
"index": 4747,
"step-1": "<mask token>\n\n\nclass KdTree:\n <mask token>\n\n def __init__(self):\n self.root = None\n\n def create(self, X, dimensions=None):\n \"\"\"\n create a kd-tree on data X.\n :param X: shape is (n... | [
6,
7,
10,
12,
13
] |
from django.utils.html import strip_tags
from rest_framework import serializers
from home.models import *
class SliderSerializer(serializers.ModelSerializer):
class Meta:
model = Slider
fields = "__all__"
class CategorySerializer(serializers.ModelSerializer):
class Meta:
model = Cate... | normal | {
"blob_id": "b8fa36ed3587511e0c64f0ffc87ea6e7857725d7",
"index": 4595,
"step-1": "<mask token>\n\n\nclass ProductSerializer(serializers.ModelSerializer):\n\n\n class Meta:\n model = Product\n fields = '__all__'\n\n def to_representation(self, instance):\n data = super().to_representati... | [
5,
6,
8,
9,
10
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class SignupAliasForm(forms.Form):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class SignupAliasForm(forms.Form):
alias = forms.CharField(m... | flexible | {
"blob_id": "953186a330ae9dff15c037b556746590d748c7ad",
"index": 4974,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass SignupAliasForm(forms.Form):\n <mask token>\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass SignupAliasForm(forms.Form):\n alias = forms.CharField(max_length=20... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
def parse_file(file_in, file_out):
ptrFile_in = open(file_in, 'r')
ptrFile_out = open(file_out, 'w', encoding='utf-8')
cleanLines = []
for line in ptrFile_in:
cleanLine = {}
line = line.rstrip()
if line != '':
try:
decode... | flexible | {
"blob_id": "e3afaabc1f7f64b9189fc88dd478ed75e81f35e1",
"index": 4564,
"step-1": "<mask token>\n\n\ndef parse_file(file_in, file_out):\n ptrFile_in = open(file_in, 'r')\n ptrFile_out = open(file_out, 'w', encoding='utf-8')\n cleanLines = []\n for line in ptrFile_in:\n cleanLine = {}\n l... | [
1,
2,
3,
4,
5
] |
from base.SpellingDictionary import SpellingDictionary
from datastructure.trie import NeedMore
class WordFinder:
def __init__(self):
self.spellingDictionary = SpellingDictionary()
#self.dictionary.add(["toad", "to", "do", "dot"])
self.spellingDictionary.populateDictionary()
pr... | normal | {
"blob_id": "3be3edbecfbb602d4c4a853f006a3a6f4b992fd3",
"index": 1728,
"step-1": "from base.SpellingDictionary import SpellingDictionary\r\nfrom datastructure.trie import NeedMore\r\nclass WordFinder:\r\n def __init__(self):\r\n self.spellingDictionary = SpellingDictionary()\r\n #self.dictionary... | [
0
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
for r, d, files in os.walk(root):
if files != []:
for i in files:
fp = os.path.join(r, i)
label = i.split('_')[0]
dst = os.path.join(save_path, label)
if not os.path.exis... | flexible | {
"blob_id": "cc19ff829cc4a11c3dc873353fa2194ec9a87718",
"index": 8584,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor r, d, files in os.walk(root):\n if files != []:\n for i in files:\n fp = os.path.join(r, i)\n label = i.split('_')[0]\n dst = os.path.join(s... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
def setParser(htmlParser='html5lib'):
global _html_parser
_html_parser = htmlParser
def discoverEndpoint(domain, endpoint, content=None, look_in={'name':
'link'}, test_urls=True, validateCerts=True):
"""Find the given endpoint for the given domain.
Only scan html ele... | flexible | {
"blob_id": "1bb82a24faed6079ec161d95eff22aa122295c13",
"index": 3982,
"step-1": "<mask token>\n\n\ndef setParser(htmlParser='html5lib'):\n global _html_parser\n _html_parser = htmlParser\n\n\ndef discoverEndpoint(domain, endpoint, content=None, look_in={'name':\n 'link'}, test_urls=True, validateCerts=... | [
2,
5,
6,
7,
8
] |
<|reserved_special_token_0|>
class DataSet(object):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
... | flexible | {
"blob_id": "c931d1ac5c2d003a8eaac3c6d777ce408df57117",
"index": 8534,
"step-1": "<mask token>\n\n\nclass DataSet(object):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n def genera_datos(self) ->None:\n ... | [
3,
4,
6,
8,
9
] |
<|reserved_special_token_0|>
class Parser:
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
def get_description(self, id_str, headers):
link = ('https://api.joom.com/1.1/products/' + id_str +
'?language=ru-RU¤cy=RUB')
res = reque... | flexible | {
"blob_id": "00c6899b9d49cbbd0f1980eada77ad91562211a0",
"index": 4471,
"step-1": "<mask token>\n\n\nclass Parser:\n <mask token>\n <mask token>\n <mask token>\n\n def get_description(self, id_str, headers):\n link = ('https://api.joom.com/1.1/products/' + id_str +\n '?language=ru-RU... | [
2,
3,
4,
5,
6
] |
# coding: utf-8
import sys
from flask.ext.script import Manager
from flask.ext.migrate import Migrate, MigrateCommand
from flask_assets import ManageAssets
from app import app
from assets import assets
from db import db
from .changepassword import ChangePassword
from .create_superuser import SuperUserCommand
from .... | normal | {
"blob_id": "c331802cf5a09bc8db8ddbfa37636a01cf73684e",
"index": 2626,
"step-1": "<mask token>\n\n\nclass MyMan(Manager):\n\n def run(self, commands=None, default_command=None):\n \"\"\"\n Prepares manager to receive command line input. Usually run\n inside \"if __name__ == \"__main__\" b... | [
2,
3,
4,
5,
6
] |
# Generated by Django 2.2.7 on 2019-11-22 21:09
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('Product', '0003_productimage'),
]
operations = [
migrations.RemoveField(
model_name='productimage',
name='comm... | normal | {
"blob_id": "a3382c3e6e04ccb87b1d55f072ce959b137f9fdd",
"index": 5722,
"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 = [('Product', '... | [
0,
1,
2,
3,
4
] |
import datetime
now = datetime.datetime.now()
print(now.year, now.month, now.day, now.hour, now.minute, now.second)
| normal | {
"blob_id": "3af91de0b25f575ec9d981d7711c710a7e9695e4",
"index": 6819,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(now.year, now.month, now.day, now.hour, now.minute, now.second)\n",
"step-3": "<mask token>\nnow = datetime.datetime.now()\nprint(now.year, now.month, now.day, now.hour, now.minut... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
def f(w, b, x):
return 1.0 / (1.0 + np.exp(-(w * x + b)))
def error(w, b):
err = 0.0
for x, y in zip(X, Y):
fx = f(w, b, x)
err += 0.5 * (fx - y) ** 2
return err
def grad_b(w, b, x, y):
fx = f(w, b, x)
return (fx - y) * fx * (1 - fx)
def grad_... | flexible | {
"blob_id": "2387856757ad1c3ff911cf2a7537ca6df7786997",
"index": 9244,
"step-1": "<mask token>\n\n\ndef f(w, b, x):\n return 1.0 / (1.0 + np.exp(-(w * x + b)))\n\n\ndef error(w, b):\n err = 0.0\n for x, y in zip(X, Y):\n fx = f(w, b, x)\n err += 0.5 * (fx - y) ** 2\n return err\n\n\ndef... | [
5,
6,
7,
8,
9
] |
from django.db import models
from django.utils.text import slugify
# Create your models here.
class SponsorType(models.Model):
name = models.CharField(max_length=100)
def __str__(self):
return self.name
class Sponsor(models.Model):
type = models.ForeignKey(SponsorType, on_delete=models.CASCADE, ... | normal | {
"blob_id": "81f0119f6f348f6d33e8d22f588fc8c2e0593d3c",
"index": 1536,
"step-1": "<mask token>\n\n\nclass SponsorType(models.Model):\n <mask token>\n <mask token>\n\n\nclass Sponsor(models.Model):\n type = models.ForeignKey(SponsorType, on_delete=models.CASCADE, null=True)\n id = models.AutoField(pri... | [
5,
6,
7,
8,
9
] |
import sys
N = int(input())
card = [int(x+1) for x in range(N)]
trash = []
while len(card)>1:
topCard = card.pop(0)
trash.append(topCard)
card.append(card.pop(0))
outputStr = ""
for i in range(len(trash)):
outputStr += str(trash[i]) + " "
outputStr += str(card[0])
print(outputStr)
| normal | {
"blob_id": "90e475dfd128689dd4e1a5375ced6e4cbfb73c07",
"index": 7860,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nwhile len(card) > 1:\n topCard = card.pop(0)\n trash.append(topCard)\n card.append(card.pop(0))\n<mask token>\nfor i in range(len(trash)):\n outputStr += str(trash[i]) + ' '\n... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
@app.route('/')
def index():
return render_template('login.html')
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
@app.route('/')
def index():
return render_template('login.html')
@app.route('/login', methods=['POST', 'GET'])
def log... | flexible | {
"blob_id": "82f8bfd95fea3025bed2b4583c20526b0bd5484f",
"index": 3535,
"step-1": "<mask token>\n\n\n@app.route('/')\ndef index():\n return render_template('login.html')\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\n@app.route('/')\ndef index():\n return render_template('login.html')\n\n\n@app.route(... | [
1,
3,
4,
5,
6
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def parse_args():
"""
Parse input arguments.
:return:
"""
parser = argparse.ArgumentParser(description='以图搜图API测试')
parser.add_argument('--ak', dest='access_key', help=
'access_key for qiniu accou... | flexible | {
"blob_id": "c7147741784b37b42200869002d4df5ddc900675",
"index": 2001,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef parse_args():\n \"\"\"\n Parse input arguments.\n :return:\n \"\"\"\n parser = argparse.ArgumentParser(description='以图搜图API测试')\n parser.add_argument('--ak', des... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
RAVEN_CONFIG = {}
ALLOWED_HOSTS = ['*']
<|reserved_special_token_1|>
from .base import *
RAVEN_CONFIG = {}
ALLOWED_HOSTS = ['*']
| flexible | {
"blob_id": "eee60a6f46549ededfbc7b0b294ab723e2e73f7e",
"index": 4490,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nRAVEN_CONFIG = {}\nALLOWED_HOSTS = ['*']\n",
"step-3": "from .base import *\nRAVEN_CONFIG = {}\nALLOWED_HOSTS = ['*']\n",
"step-4": null,
"step-5": null,
"step-ids": [
0,
... | [
0,
1,
2
] |
from sense_hat import SenseHat
import time
import random
#Set game_mode to True for single roll returning value
#False for demonstration purposes
class ElectronicDie:
def __init__(self, mode):
self.game_mode = mode
sense = SenseHat()
#Colours
O = (0,0,0)
B = (0, 0, 255)
#Settings
#... | normal | {
"blob_id": "edfad88c837ddd3bf7cceeb2f0b1b7a5356c1cf7",
"index": 8998,
"step-1": "<mask token>\n\n\nclass ElectronicDie:\n\n def __init__(self, mode):\n self.game_mode = mode\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n ... | [
4,
5,
6,
7,
8
] |
# -*- coding: utf-8 -*-
from datetime import datetime, timedelta
import math
import re
import copy
from lcs import lcs
# Create your models here.
keywords=["int","long","for","while","if","else","break","continue","return","true","false","double","do","signed","unsigned"]
symbol=["[","]","{","}","(",")","&","|","^",... | normal | {
"blob_id": "ebd510bcd0caded03c5bcc36a11945710d5e644b",
"index": 5591,
"step-1": "# -*- coding: utf-8 -*-\n\nfrom datetime import datetime, timedelta\nimport math\nimport re\nimport copy\nfrom lcs import lcs\n# Create your models here.\n\n\nkeywords=[\"int\",\"long\",\"for\",\"while\",\"if\",\"else\",\"break\",\... | [
0
] |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
__copyright__ = """
This code is licensed under the MIT license.
Copyright University Innsbruck, Institute for General, Inorganic, and Theoretical Chemistry, Podewitz Group
See LICENSE for details
"""
from scipy.signal import argrelextrema
from typing import List, Tuple
i... | normal | {
"blob_id": "8c42e06fd92f0110b3ba8c4e7cc0ac45b9e44378",
"index": 3150,
"step-1": "<mask token>\n\n\nclass ButtonActions(object):\n <mask token>\n\n def plot_rdf(self, display):\n matplotlib.rcParams.update({'font.size': 10})\n self.fig = plt.figure(figsize=(display.width, display.height))\n ... | [
3,
8,
9,
10,
11
] |
from collections import OrderedDict
import copy
import numpy as np
from scipy.optimize import curve_fit
from ... import Operation as opmod
from ...Operation import Operation
from ....tools import saxstools
class SpectrumFit(Operation):
"""
Use a measured SAXS spectrum (I(q) vs. q),
to optimize the param... | normal | {
"blob_id": "7b5713c9a5afa911df1c2939751de30412162f15",
"index": 446,
"step-1": "<mask token>\n\n\nclass SpectrumFit(Operation):\n <mask token>\n <mask token>\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass SpectrumFit(Operation):\n <mask token>\n\n def __init__(self):\n input_names... | [
1,
3,
4,
5,
6
] |
<|reserved_special_token_0|>
class GetPlanningSceneResponse(genpy.Message):
_md5sum = '285525c9abe002fbafa99af84a14b4cb'
_type = 'arm_navigation_msgs/GetPlanningSceneResponse'
_has_header = False
_full_text = """
PlanningScene planning_scene
======================================================... | flexible | {
"blob_id": "b8e18877af990c533c642d4937354198a4676419",
"index": 5194,
"step-1": "<mask token>\n\n\nclass GetPlanningSceneResponse(genpy.Message):\n _md5sum = '285525c9abe002fbafa99af84a14b4cb'\n _type = 'arm_navigation_msgs/GetPlanningSceneResponse'\n _has_header = False\n _full_text = \"\"\"\n\nPla... | [
10,
14,
18,
20,
21
] |
<|reserved_special_token_0|>
class PresentationAdmin(admin.ModelAdmin):
<|reserved_special_token_0|>
model = Presentation
actions = [export_scholars]
raw_id_fields = 'user', 'updated_by', 'leader'
list_max_show_all = 500
list_per_page = 500
list_display = ('title', 'reviewer', 'last_name',... | flexible | {
"blob_id": "1ae69eaaa08a0045faad13281a6a3de8f7529c7a",
"index": 9761,
"step-1": "<mask token>\n\n\nclass PresentationAdmin(admin.ModelAdmin):\n <mask token>\n model = Presentation\n actions = [export_scholars]\n raw_id_fields = 'user', 'updated_by', 'leader'\n list_max_show_all = 500\n list_pe... | [
7,
9,
11,
12,
13
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
#!/usr/bin/python
# -*- coding: utf-8 -*-
"""
@project= Life_is_short_you_need_python
@file= judgement
@author= wubingyu
@create_time= 2017/12/21 下午2:58
"""
#a if condition else b
#(falseValue,trueValue)[test]
#(falseValue,trueValue)[test==True]
#(falseValue... | flexible | {
"blob_id": "73e23b3560294ca24428e7dd4cc995b97767335c",
"index": 4202,
"step-1": "<mask token>\n",
"step-2": "#!/usr/bin/python\n# -*- coding: utf-8 -*-\n\"\"\"\n@project= Life_is_short_you_need_python\n@file= judgement\n@author= wubingyu\n@create_time= 2017/12/21 下午2:58\n\"\"\"\n\n#a if condition else b\n#(fa... | [
0,
1
] |
def add(a, b):
print "ADDING %d + %d" % (a, b)
return a + b
def subtract(a, b):
print "SUBTRACTING %d - %d" %(a, b)
return a - b
def multipy(a, b):
print "MULTIPLYING %d * %d" % (a, b)
return a * b
def divide(a, b):
print "DIVIDING %d / %d" % (a, b)
return a / b
print "Let's do some... | normal | {
"blob_id": "b4b80e40d12486881e37dd7ddeeef9c76417ebd9",
"index": 5906,
"step-1": "def add(a, b):\n print \"ADDING %d + %d\" % (a, b)\n return a + b\n\ndef subtract(a, b):\n print \"SUBTRACTING %d - %d\" %(a, b)\n return a - b\n\ndef multipy(a, b):\n print \"MULTIPLYING %d * %d\" % (a, b)\n retu... | [
0
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def _preserve_tag_on_taxes(cr, registry):
preserve_existing_tags_on_taxes(cr, registry, 'l10n_lb')
env = api.Environment(cr, SUPERUSER_ID, {})
accounts = env['account.account'].search([('code', 'in', ['5301',
... | flexible | {
"blob_id": "74b38599dd793282612a468a760f6301b9f039d6",
"index": 9878,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef _preserve_tag_on_taxes(cr, registry):\n preserve_existing_tags_on_taxes(cr, registry, 'l10n_lb')\n env = api.Environment(cr, SUPERUSER_ID, {})\n accounts = env['account.a... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def maximization(X, g):
"""
Returns: pi, m, S, or None, None, None on failure
"""
if type(X) is not np.ndarray or len(X.shape) != 2:
return None, None, None
if type(g) is not np.ndarray or len(g.shape... | flexible | {
"blob_id": "a55daebd85002640db5e08c2cf6d3e937b883f01",
"index": 1611,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef maximization(X, g):\n \"\"\"\n Returns: pi, m, S, or None, None, None on failure\n \"\"\"\n if type(X) is not np.ndarray or len(X.shape) != 2:\n return None, No... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
def filter_lines(in_filename, in_filename2, out_filename):
"""Read records from in_filename and write records to out_filename if
the beginning of the line (taken up to the first comma at or after
position 11) is found in keys (which must be a set ... | flexible | {
"blob_id": "502e0f0c6376617dc094fcdd47bea9773d011864",
"index": 900,
"step-1": "<mask token>\n",
"step-2": "def filter_lines(in_filename, in_filename2, out_filename):\n \"\"\"Read records from in_filename and write records to out_filename if\n the beginning of the line (taken up to the first comma at or... | [
0,
1,
2,
3,
4
] |
import boto3
import jinja2
import markdown
# Instantiate S3 client
s3_client = boto3.client('s3')
# HTML style template
TEMPLATE = """<!DOCTYPE html>
<html>
<head>
<link href="http://netdna.bootstrapcdn.com/twitter-bootstrap/2.3.0/css/bootstrap-combined.min.css" rel="stylesheet">
<style>
body {
... | normal | {
"blob_id": "3df57059539e5e3579c6dbee6be288e04b5f93b5",
"index": 3400,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef lambda_handler(event, context):\n for record in event['Records']:\n bucket = record['s3']['bucket']['name']\n key = record['s3']['object']['key']\n output_... | [
0,
1,
2,
3,
4
] |
a=[[*map(int,input().split())]for _ in range(int(input()))]
a.sort()
s=0
l0,h0=a[0]
for l,h in a:
if h0<h:s+=(l-l0)*h0;l0,h0=l,h
l1,h1=a[-1]
for l,h in a[::-1]:
if h>h1:s+=(l1-l)*h1;l1,h1=l,h
s+=(l1-l0+1)*h1
print(s) | normal | {
"blob_id": "62dab85b7ab5fdae8117827b2f56bccf99615cb7",
"index": 7341,
"step-1": "<mask token>\n",
"step-2": "<mask token>\na.sort()\n<mask token>\nfor l, h in a:\n if h0 < h:\n s += (l - l0) * h0\n l0, h0 = l, h\n<mask token>\nfor l, h in a[::-1]:\n if h > h1:\n s += (l1 - l) * h1\n... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
class Testing(unittest.TestCase):
def test_creation(self):
x = userinput.UserInput()
self.assertNotEqual(x, None)
def test_charset_initialization(self):
x = userinput.UserInput()
self.assertEqual(x.character_set, userinput.CHARACTERS)
def tes... | flexible | {
"blob_id": "4745d81558130440d35d277b586572f5d3f85c06",
"index": 7366,
"step-1": "<mask token>\n\n\nclass Testing(unittest.TestCase):\n\n def test_creation(self):\n x = userinput.UserInput()\n self.assertNotEqual(x, None)\n\n def test_charset_initialization(self):\n x = userinput.UserI... | [
4,
5,
7,
8,
9
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
django.version
<|reserved_special_token_1|>
import django
django.version
<|reserved_special_token_1|>
# Mezzanine Django Framework createdb error on Max OSX 10.9.2
import django
django.version
| flexible | {
"blob_id": "56afde2a31ad9dddee35e84609dff2eb0fc6fe1a",
"index": 9438,
"step-1": "<mask token>\n",
"step-2": "<mask token>\ndjango.version\n",
"step-3": "import django\ndjango.version\n",
"step-4": "# Mezzanine Django Framework createdb error on Max OSX 10.9.2\nimport django\ndjango.version\n",
"step-5":... | [
0,
1,
2,
3
] |
import pytest
import numpy as np
from dwave_qbsolv import QBSolv
from src.quantumrouting.solvers import partitionqubo
from src.quantumrouting.types import CVRPProblem
from src.quantumrouting.wrappers.qubo import wrap_vrp_qubo_problem
@pytest.fixture
def cvrp_problem():
max_num_vehicles = 1
coords = [[-15.6570... | normal | {
"blob_id": "f61e9e8069a0e90506c2f03a0cc4a25a16d71b85",
"index": 3732,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\n@pytest.fixture\ndef cvrp_problem():\n max_num_vehicles = 1\n coords = [[-15.6570138544452, -47.802664728268745], [-15.65879313293694,\n -47.7496622016347], [-15.65144038... | [
0,
1,
2,
3
] |
# Generated by Django 3.2.1 on 2021-05-17 18:02
import django.contrib.auth.models
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
('auth', '0012_alter_user_first_name_max_length'),
]
operations... | normal | {
"blob_id": "7ce471b3a6966c1a60ae2e2f3ec42369fe3d0f9c",
"index": 6377,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass Migration(migrations.Migration):\n <mask token>\n <mask token>\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass Migration(migrations.Migration):\n initial = T... | [
0,
1,
2,
3,
4
] |
import cv2
import numpy as np
from matplotlib import pyplot as plt
import glob
def des_match(des_l,des_q):
bf=cv2.BFMatcher(cv2.NORM_L2,crossCheck=True)
matches=bf.match(des_l,des_q)
matches = sorted(matches,key=lambda x:x.distance)
return matches
def check_match(matches,threshold,txt):
count=0
if (matches... | normal | {
"blob_id": "4bc61ae2fe6453819a5bbf9cf05976f7800fa7c1",
"index": 4420,
"step-1": "import cv2\nimport numpy as np \nfrom matplotlib import pyplot as plt\nimport glob\n\n\n\n\ndef des_match(des_l,des_q):\n\tbf=cv2.BFMatcher(cv2.NORM_L2,crossCheck=True)\n\tmatches=bf.match(des_l,des_q)\n\tmatches = sorted(matches,k... | [
0
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def main():
date_column = 'date of last vet visit'
target = 'age at death'
export_file_dir = './output/'
export_model_dir = './model/xgb_model.dat'
import_ = Import()
print(
"""
To predict how lon... | flexible | {
"blob_id": "696b9db78cc7f6002eb39b640e0e5b2b53e52e91",
"index": 8448,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef main():\n date_column = 'date of last vet visit'\n target = 'age at death'\n export_file_dir = './output/'\n export_model_dir = './model/xgb_model.dat'\n import_ = ... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
if alien_color == 'green':
print('you earned 5 points')
<|reserved_special_token_0|>
if alien_color2 == 'green':
print('your earned 5 points')
if alien_color2 == 'yellow':
print('Right answer')
<|reserved_special_token... | flexible | {
"blob_id": "30e4c4c5ef944b0cd2d36b2fe5f7eee39dff1d16",
"index": 6511,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nif alien_color == 'green':\n print('you earned 5 points')\n<mask token>\nif alien_color2 == 'green':\n print('your earned 5 points')\nif alien_color2 == 'yellow':\n print('Right ... | [
0,
1,
2,
3
] |
from rest_framework import viewsets
from recruitment.serializers.LocationSerializer import LocationSerializer
from recruitment.models.Location import Location
import django_filters
class LocationViewSet(viewsets.ModelViewSet):
queryset = Location.objects.all().filter(deleted=0)
serializer_class = LocationSer... | normal | {
"blob_id": "aef45cb8ea9fcaeffcca147da7637536bcc4b226",
"index": 6217,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass LocationViewSet(viewsets.ModelViewSet):\n <mask token>\n <mask token>\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass LocationViewSet(viewsets.ModelViewSet):\n ... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
def adding(user_list):
sumnum = 0
for item in user_list:
sumnum += item
return sumnum
def subtraction(user_list):
subtractnum = user_list[0]
for item in user_list[1:]:
subtractnum -= item
return subtractnum
def powering(user_list):
pownum = ... | flexible | {
"blob_id": "a8341bf422a4d31a83ff412c6aac75e5cb8c5e0f",
"index": 5876,
"step-1": "<mask token>\n\n\ndef adding(user_list):\n sumnum = 0\n for item in user_list:\n sumnum += item\n return sumnum\n\n\ndef subtraction(user_list):\n subtractnum = user_list[0]\n for item in user_list[1:]:\n ... | [
3,
5,
6,
7,
8
] |
#!/usr/bin/env python3
# Written by jack @ nyi
# Licensed under FreeBSD's 3 clause BSD license. see LICENSE
'''This class calls the system's "ping" command and stores the results'''
class sys_ping:
'''this class is a python wrapper for UNIX system ping command, subclass ping does the work, last stores data from t... | normal | {
"blob_id": "44dee207ffa4f78293484126234a3b606e79915b",
"index": 5056,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass sys_ping:\n <mask token>\n <mask token>\n\n\n class last:\n \"\"\"This class stores data from last sys_ping.ping()\"\"\"\n min_time, avg_time, max_time, m... | [
0,
1,
2,
3,
4
] |
from kafka import KafkaConsumer
import csv
users = set()
# returns string of title given a ConsumerRecord
def parse_cr(cr):
binary = cr.value
string = binary.decode('utf-8')
# [time, user id, GET request]
return string.split(',')
# returns string of title given a ConsumerRecord in name+name+year for... | normal | {
"blob_id": "374fbb986524f28cc86f6e579f504eeb8ddc9701",
"index": 1122,
"step-1": "<mask token>\n\n\ndef parse_cr(cr):\n binary = cr.value\n string = binary.decode('utf-8')\n return string.split(',')\n\n\ndef get_title(cr):\n get = parse_cr(cr)[2]\n head = get[5:9]\n if head == 'data':\n ... | [
4,
5,
6,
7,
8
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
parser.read('sim.conf')
print(parser.get('config', 'option1'))
print(parser.get('config', 'option2'))
print(parser.get('config', 'option3'))
<|reserved_special_token_1|>
<|reserved_special_token_0|>
parser = configparser.Config... | flexible | {
"blob_id": "cf5ab10ce743aa261867501e93f498022e5908fe",
"index": 7360,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nparser.read('sim.conf')\nprint(parser.get('config', 'option1'))\nprint(parser.get('config', 'option2'))\nprint(parser.get('config', 'option3'))\n",
"step-3": "<mask token>\nparser = con... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
@login_required
def index(request):
grup = request.user.grup
birim = request.user.birim
emirler = Emir.objects.filter(durum='Aktif')
l = list()
for e in emirler.values():
data = dict()
data['is_emri'] = e['is_emri']
data['valfmontaj'] = Valf.obj... | flexible | {
"blob_id": "74dd9151195fef41862c2793621172518f1f486d",
"index": 5248,
"step-1": "<mask token>\n\n\n@login_required\ndef index(request):\n grup = request.user.grup\n birim = request.user.birim\n emirler = Emir.objects.filter(durum='Aktif')\n l = list()\n for e in emirler.values():\n data = ... | [
10,
25,
26,
33,
35
] |
from classifier import classifier
from get_input_args import get_input_args
from os import listdir
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
# */AIPND-revision/intropyproject-classify-pet-images/calculates_results_stats_hints.py
#
# PRO... | normal | {
"blob_id": "f96c9753f3cbb0e554f9f05591e23943009c8955",
"index": 2371,
"step-1": "<mask token>\n\n\ndef calculates_results_stats(results_dic):\n \"\"\"\n Calculates statistics of the results of the program run using classifier's model \n architecture to classifying pet images. Then puts the results stat... | [
3,
4,
7,
8,
9
] |
"""
《Engineering a Compiler》
即《编译器设计第二版》
https://www.clear.rice.edu/comp412/
"""
# 《parsing-techniques》 讲前端
## http://parsing-techniques.duguying.net/ebook/2/1/3.html
"""
前端看Parsing Techniques，后端看鲸书，都是最好的。
"""
# 《essential of programming language》
# sicp
"""
如果对编程语言设计方面感兴趣，想对编程语言和编译器设计有大概的概念，可以看看PLP。
想快速实践可以看《自制脚本语... | normal | {
"blob_id": "5663ded291405bcf0d410041485487bb17560223",
"index": 3106,
"step-1": "<mask token>\n",
"step-2": "\n\"\"\"\n《Engineering a Compiler》\n即《编译器设计第二版》\nhttps://www.clear.rice.edu/comp412/\n\"\"\"\n# 《parsing-techniques》 讲前端\n## http://parsing-techniques.duguying.net/ebook/2/1/3.html\n\n\"\"\"\n前端看Parsin... | [
0,
1
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
seed(1)
<|reserved_special_token_0|>
set_random_seed(2)
print('\x1b[91m Lectura de datos \x1b[0m')
<|reserved_special_token_0|>
model.add(Conv1D(64, 32, input_shape=(x_train.shape[1], 1), activation='elu'))
model.add(Flatten())
mo... | flexible | {
"blob_id": "bfb52a5ee6d88d63c4ef89dae26bb8cbecb091c6",
"index": 4200,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nseed(1)\n<mask token>\nset_random_seed(2)\nprint('\\x1b[91m Lectura de datos \\x1b[0m')\n<mask token>\nmodel.add(Conv1D(64, 32, input_shape=(x_train.shape[1], 1), activation='elu'))\nmode... | [
0,
1,
2,
3,
4
] |
#' % Computational Biology Lab 3
#' % Alois Klink
#' % 18 May 2017
#' # Converting Reaction Equations to a ODE
#' To convert many reaction equations to one ODE, one must first find the propensity
#' and the changes of each reaction.
#' The Reaction class takes a lambda function of the propensity and the change matri... | normal | {
"blob_id": "87a1624707e4a113a35d975518e432277c851e41",
"index": 9962,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nsystem.trajectories()\n<mask token>\nprint('r is ' + str(r))\nsystem.gillespieConcentrations(50000 * r)\nsystem.gillespieTrajectories([[0, 0], [4, 23]], 10000 * r)\n<mask token>\nsystem.g... | [
0,
1,
2,
3,
4
] |
from flask import Blueprint, current_app
logging = Blueprint("logging", __name__)
@logging.route("/debug/")
def debug():
current_app.logger.debug("some debug message")
return ""
@logging.route("/warning/")
def warning():
current_app.logger.warning("some warning message")
return ""
@logging.ro... | normal | {
"blob_id": "7c2d57a8368eb8d1699364c60e98766e66f01569",
"index": 4659,
"step-1": "<mask token>\n\n\n@logging.route('/debug/')\ndef debug():\n current_app.logger.debug('some debug message')\n return ''\n\n\n<mask token>\n\n\n@logging.route('/error/')\ndef error():\n current_app.logger.error('some error m... | [
2,
3,
4,
5,
6
] |
from django.contrib import admin
from .models import User, UserProfile, Lead, Agent, Category
admin.site.register(User)
admin.site.register(UserProfile)
admin.site.register(Lead)
admin.site.register(Agent)
admin.site.register(Category)
| normal | {
"blob_id": "55d184a9342b40fe027913e46933325bb00e33a6",
"index": 5386,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nadmin.site.register(User)\nadmin.site.register(UserProfile)\nadmin.site.register(Lead)\nadmin.site.register(Agent)\nadmin.site.register(Category)\n",
"step-3": "from django.contrib impo... | [
0,
1,
2
] |
from day19.rules import Rule, CharacterMatch, OrRule, ListRule
def parse_rule(rules: dict, rule_str: str=None) ->Rule:
if rule_str is None:
rule_str: str = rules[0]
if '"' in rule_str:
return CharacterMatch(rule_str.strip('"'))
elif '|' in rule_str:
or_rules = [parse_rule(rules, pa... | normal | {
"blob_id": "4d4f7db6d5b4ed7eac3ced73aca76d3c952c84f4",
"index": 1456,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef parse_rule(rules: dict, rule_str: str=None) ->Rule:\n if rule_str is None:\n rule_str: str = rules[0]\n if '\"' in rule_str:\n return CharacterMatch(rule_str.s... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
def need_owner(view_func):
def _wrapped_view(request, *args, **kwargs):
rc = request.rc
rc.project = q_get(Project, name=kwargs['name'], status=consts.
PROJECT_ENABLE)
rc.project_name = kwargs['name']
if rc.project == None:
rais... | flexible | {
"blob_id": "bacd0c729193f064b21ab8e01e98dfc276094458",
"index": 7853,
"step-1": "<mask token>\n\n\ndef need_owner(view_func):\n\n def _wrapped_view(request, *args, **kwargs):\n rc = request.rc\n rc.project = q_get(Project, name=kwargs['name'], status=consts.\n PROJECT_ENABLE)\n ... | [
7,
14,
16,
17,
18
] |
<|reserved_special_token_0|>
class UserNotAllowedError(Exception):
"""Raised when the user is recognized but forbidden from entering."""
class _Credentials(object):
email = None
security_token_is_stale = False
<|reserved_special_token_0|>
def _parse_security_token(token):
"""Parse a CHIRP securi... | flexible | {
"blob_id": "d077f32061b87a4bfd6a0ac226730957a4000804",
"index": 5859,
"step-1": "<mask token>\n\n\nclass UserNotAllowedError(Exception):\n \"\"\"Raised when the user is recognized but forbidden from entering.\"\"\"\n\n\nclass _Credentials(object):\n email = None\n security_token_is_stale = False\n\n\n<... | [
10,
11,
12,
13,
16
] |
<|reserved_special_token_0|>
def calculates_results_stats(results_dic):
"""
Calculates statistics of the results of the program run using classifier's model
architecture to classifying pet images. Then puts the results statistics in a
dictionary (results_stats_dic) so that it's returned for printing... | flexible | {
"blob_id": "f96c9753f3cbb0e554f9f05591e23943009c8955",
"index": 2371,
"step-1": "<mask token>\n\n\ndef calculates_results_stats(results_dic):\n \"\"\"\n Calculates statistics of the results of the program run using classifier's model \n architecture to classifying pet images. Then puts the results stat... | [
3,
4,
7,
8,
9
] |
import subprocess
import datetime
def ping_address(host,n):
ping = subprocess.Popen(
["ping","-c",str(n),host],
stdout = subprocess.PIPE,
stderr = subprocess.PIPE)
out,error = ping.communicate()
return out, error
def ping_address_windows(host,n):
ping = subprocess.Popen(
["... | normal | {
"blob_id": "3f2221f5f3a699020dd5986acb793e3083976dff",
"index": 7176,
"step-1": "<mask token>\n\n\ndef parse_msg(msg):\n line_org = msg.split('\\n')\n N = len(line_org) - 2\n line = line_org[N]\n return line\n\n\ndef get_vals(msg):\n rhs = msg.split('=')\n try:\n nums = rhs[1].split('/'... | [
4,
5,
6,
7,
8
] |
<|reserved_special_token_0|>
@workflow_class
class FlyteDJOLoadTestWorkflow(object):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
@workflow_class
class FlyteDJOLoadTestWorkflow(object):
tasks_count = Input(Types.Integer)
dj = ... | flexible | {
"blob_id": "c30b0db220bdacd31ab23aa1227ce88affb79daa",
"index": 2322,
"step-1": "<mask token>\n\n\n@workflow_class\nclass FlyteDJOLoadTestWorkflow(object):\n <mask token>\n <mask token>\n",
"step-2": "<mask token>\n\n\n@workflow_class\nclass FlyteDJOLoadTestWorkflow(object):\n tasks_count = Input(Typ... | [
1,
2,
4,
5,
6
] |
# Author: Cristian Steib
#
#
# -*- encoding: utf-8 -*-
import pilasengine
class consoleColors:
HEADER = '\033[95m'
OKBLUE = '\033[94m'
OKGREEN = '\033[92m'
WARNING = '\033[93m'
FAIL = '\033[91m'
ENDC = '\033[0m'
BOLD = '\033[1m'
UNDERLINE = '\033[4m'
class BotonComando():
'''
... | normal | {
"blob_id": "266b8958b761ee7266a8098aeaecb8b6c2a24a2a",
"index": 1757,
"step-1": "<mask token>\n\n\nclass BotonComando:\n <mask token>\n\n def __init__(self, *args, **kwargs):\n self.pilas = args[0] if len(args) and type(args[0]\n ) is pilasengine.Pilas else kwargs['pilas'] if kwargs.get(... | [
10,
12,
13,
14,
19
] |
# Required python libraries for attack.py
import socket
import os
import sys
from termcolor import colored
import StringIO
import time
# need to find Python equivalent libraries for these
import stdio
import stdlib
import unistd
# need to find Python equivalent libraries for these
import includes
import killer
impor... | normal | {
"blob_id": "6d25b0fedf0d5081a3a0a93ddacc49748464d9d0",
"index": 405,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef checksum_tcp_udp(ip_header, buffer_name, data_length, lenth):\n return sum_checksum_tcp_udp\n\n\n<mask token>\n",
"step-3": "<mask token>\n\n\ndef checksum_tcp_udp(ip_header, ... | [
0,
1,
2,
3,
4
] |
import datetime
def days_count(year, month, hour):
point = datetime.datetime(year, month, hour, 0, 0, 0, 000000)
now = datetime.datetime.now()
interval_day = point - now
return interval_day.days
messages = {
'猫钰钰 五月有砖搬': '距离 猫钰钰 上岗还有 {} 天'.format(days_count(2019, 6, 1)), # 6.1 上岗
'AD Zh': '... | normal | {
"blob_id": "82ce6304977d468945526824ade1500e10d25d09",
"index": 2872,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef days_count(year, month, hour):\n point = datetime.datetime(year, month, hour, 0, 0, 0, 0)\n now = datetime.datetime.now()\n interval_day = point - now\n return interva... | [
0,
1,
2,
3,
4
] |
# aylat
# This program will calculate an individual's body mass index (BMI),
# based on their height and their weight
# Prompt user to input information
Name = input('Enter your full name: ')
Weight = float(input('Enter your weight in pounds: '))
Height = float(input('Enter your height in inches: '))
# Perform BMI ... | normal | {
"blob_id": "8b009451e9f65ef12e5db1321a9d5347ef7fd756",
"index": 9593,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint('\\n')\nif BMI < 18.5:\n print(Name, ', your BMI calculation is ', format(BMI, '.1f'),\n ', which indicates your weight category is underweight.', sep='')\nelif BMI < 24.9... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
for i in range(0, 20):
if i % 20 == 0:
print('Stop It')
else:
print('The For Loop Failed')
| flexible | {
"blob_id": "bfb2d7b811fd450b53493375fa130649349d308f",
"index": 174,
"step-1": "<mask token>\n",
"step-2": "for i in range(0, 20):\n if i % 20 == 0:\n print('Stop It')\nelse:\n print('The For Loop Failed')\n",
"step-3": null,
"step-4": null,
"step-5": null,
"step-ids": [
0,
1
]
... | [
0,
1
] |
# Generated by Django 3.1 on 2020-09-09 15:58
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('orders', '0001_initial'),
]
operations = [
migrations.RenameField(
model_name='orderproduct',
old_name='products',
... | normal | {
"blob_id": "0e73153d004137d374637abf70faffabf0bab1fb",
"index": 9762,
"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 = [('orders', '0... | [
0,
1,
2,
3,
4
] |
import DB as db
import os
from Chart import Chart
import matplotlib.pyplot as plt
import numpy as np
table = db.get_researcher_copy()
chart_path = '../charts/discipline '
def get_discipline_with_more_female():
docs = table.aggregate([
{'$match':{'gender':{'$exists':1}}},
{'$unwind':'$labels'},
{'$group':{'_id'... | normal | {
"blob_id": "c585b1439217fff42945eeb9e02512d73f8ba19f",
"index": 5805,
"step-1": "<mask token>\n\n\ndef get_discipline_with_more_female():\n docs = table.aggregate([{'$match': {'gender': {'$exists': 1}}}, {\n '$unwind': '$labels'}, {'$group': {'_id': {'label': '$labels',\n 'gender': '$gender'}, ... | [
5,
6,
7,
8,
9
] |
<|reserved_special_token_0|>
def index(request):
notes = Note.objects.all().order_by('-created_at')
context = {'notes': notes}
return render(request, 'notes/index.html', context)
def add(request):
if request.method == 'POST':
errors = Note.objects.validate(request.POST)
if errors:
... | flexible | {
"blob_id": "e983db4b99e73929c02eb84fab1ee56138048052",
"index": 8221,
"step-1": "<mask token>\n\n\ndef index(request):\n notes = Note.objects.all().order_by('-created_at')\n context = {'notes': notes}\n return render(request, 'notes/index.html', context)\n\n\ndef add(request):\n if request.method ==... | [
2,
3,
4,
5,
6
] |
casosteste = int(input())
for testes in range(casosteste):
num_instru = int(input())
lista = []
for intru in range(num_instru):
p = input().upper()
if p == 'LEFT':
lista.append(-1)
elif p == 'RIGHT':
lista.append(+1)
elif p.startswith('SAME AS'):
... | normal | {
"blob_id": "a14a6c015ed3063015973b5376a1351a70808dc0",
"index": 8420,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor testes in range(casosteste):\n num_instru = int(input())\n lista = []\n for intru in range(num_instru):\n p = input().upper()\n if p == 'LEFT':\n lis... | [
0,
1,
2
] |
#!/usr/bin/python
# -*- coding: utf-8 -*-
from tp_global import *
from cgibase import cgibase
from tp_mongodb import *
import json
import requests
class Ccase_model(cgibase):
def __init__(self):
return cgibase.__init__(self)
def onInit(self):
cgibase.SetNoCheckCookie(self)
opr = cgiba... | normal | {
"blob_id": "5282e9a9e87fd7fd6053f816048f371fbe190046",
"index": 5650,
"step-1": "<mask token>\n\n\nclass Ccase_model(cgibase):\n\n def __init__(self):\n return cgibase.__init__(self)\n <mask token>\n\n def cmadd(self):\n self.log.debug('cmadd in.')\n req = self.input['input']\n ... | [
6,
9,
10,
11,
13
] |
from datetime import datetime
from unittest import mock
import pytest
from freezegun import freeze_time
from datahub.ingestion.api.common import PipelineContext
from src.datahub.ingestion.source.aws.s3_util import make_s3_urn
FROZEN_TIME = "2020-04-14 07:00:00"
@pytest.mark.integration
def test_athena_config_query... | normal | {
"blob_id": "1304b6373edeca394070b8a3d144608cf07172e3",
"index": 9448,
"step-1": "<mask token>\n\n\n@pytest.mark.integration\ndef test_athena_config_query_location_old_plus_new_value_not_allowed():\n from datahub.ingestion.source.sql.athena import AthenaConfig\n with pytest.raises(ValueError):\n Ath... | [
3,
4,
5,
6,
7
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
def start_simulation(sumo, scenario, network, begin, end, interval, output):
logging.debug('Finding unused port')
unused_port_lock = UnusedPortLock()
unused_port_lock.__enter__()
remote_port = find_unused_port()
logging.debug('Port %d was ... | flexible | {
"blob_id": "4775bef3623497e9bbe79ca2d4e9e9da0422c450",
"index": 401,
"step-1": "<mask token>\n",
"step-2": "def start_simulation(sumo, scenario, network, begin, end, interval, output):\n logging.debug('Finding unused port')\n unused_port_lock = UnusedPortLock()\n unused_port_lock.__enter__()\n rem... | [
0,
1,
2
] |
<|reserved_special_token_0|>
def setLoggingFile():
"""
This function will setup a logger and logfile
"""
try:
dirPath = os.path.dirname(os.path.realpath(__file__))
dirFiles = os.listdir(dirPath)
for itemNr in range(len(dirFiles)):
nameOfFile = 'data0' + str(itemNr +... | flexible | {
"blob_id": "05e468c2f64e33d6b390f681314ed7961bd4def7",
"index": 2684,
"step-1": "<mask token>\n\n\ndef setLoggingFile():\n \"\"\"\n This function will setup a logger and logfile\n \"\"\"\n try:\n dirPath = os.path.dirname(os.path.realpath(__file__))\n dirFiles = os.listdir(dirPath)\n ... | [
10,
12,
14,
15,
16
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class SearchConfig(AppConfig):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class SearchConfig(AppConfig):
name = 'search'
verbose_name ... | flexible | {
"blob_id": "f47e4d6ff079b6ac2320467d87b34ae82face032",
"index": 4506,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass SearchConfig(AppConfig):\n <mask token>\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass SearchConfig(AppConfig):\n name = 'search'\n verbose_name = _('Search... | [
0,
1,
2,
3,
4
] |
import os
basedir = os.path.abspath(os.path.dirname(__file__))
class FlaskConfig(object):
SECRET_KEY = os.environ.get('FLASK_SECRET_KEY') or 'TuLAsWbcoKr5YhDE'
BOOTSTRAP_SERVE_LOCAL = os.environ.get('FLASK_BOOTSTRAP_SERVE_LOCAL') or True
APPLICATION_ROOT = os.environ.get('FLASK_APPLICATION_ROOT') or ''
... | normal | {
"blob_id": "a0349abb3a56ff4bc1700dbf0fa5a1fc2e3453ce",
"index": 6469,
"step-1": "<mask token>\n\n\nclass FlaskConfig(object):\n <mask token>\n <mask token>\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass FlaskConfig(object):\n SECRET_KEY = os.environ.get('FLASK_SECRET_KEY') or 'TuLAsWbcoKr5Y... | [
1,
2,
3,
4,
5
] |
import numpy as np
from ARA import *
from State import *
def theta_given_s(theta, q):
"""
Probability of an random event theta given current state s.
Args:
theta: Random event
s = [q, r, w]: State
Returns:
Unnormalized probability of the random event.
"""
if q == 0:
... | normal | {
"blob_id": "87f3885b4357d66a745932f3c79804e6c15a57fa",
"index": 3162,
"step-1": "<mask token>\n\n\ndef new_w(w, d):\n \"\"\"\n Multi-period commitments in the next epoch.\n Args:\n d: Defender's actions\n m: Number of non multi-period commitments. (i.e. The first m defender's actions are ... | [
3,
4,
5,
6,
7
] |
__author__ = 'jacek gruzewski'
#!/user/bin/python3.4
"""
To do: throw exceptions rather than calling sys.exit(1)
"""
############################################################
# IMPORTS
############################################################
# Python's libraries
import time
import sys
import logging
imp... | normal | {
"blob_id": "dc928da92dc7e8a37a7f32dd4a579fd09b89eb01",
"index": 4955,
"step-1": "<mask token>\n\n\ndef swap_dns(live_alias, future_value, alias_dns_name, zone, records):\n \"\"\"\n :description: Changes alias (blue.<domain> or green.<domain>) that is behind live url.\n :param\n live_alias: Your ... | [
1,
10,
14,
15,
23
] |
# !/usr/bin/env python
# -*- coding:utf-8 -*-
# Author: sx
import string
def reverse(text):
"""将字符串翻转"""
return text[::-1]
def is_palindrome(text):
print(e for e in text if e.isalnum())
# 去掉标点空格
m = ''.join(e for e in text if e.isalnum())
print(m)
"""是否是回文数"""
return m == revers... | normal | {
"blob_id": "03a1f9f533f7550db32fa25578ef2f7f4c741510",
"index": 8583,
"step-1": "<mask token>\n\n\ndef reverse(text):\n \"\"\"将字符串翻转\"\"\"\n return text[::-1]\n\n\ndef is_palindrome(text):\n print(e for e in text if e.isalnum())\n m = ''.join(e for e in text if e.isalnum())\n print(m)\n \"\"\"... | [
2,
3,
4,
5,
6
] |
from __future__ import unicode_literals
import abc
import logging
import six
import semantic_version
from lymph.utils import observables, hash_id
from lymph.core.versioning import compatible, serialize_version
logger = logging.getLogger(__name__)
# Event types propagated by Service when instances change.
ADDED = '... | normal | {
"blob_id": "ba41f2a564f46032dbf72f7d17b2ea6deaa81b10",
"index": 4332,
"step-1": "<mask token>\n\n\nclass Service(InstanceSet):\n <mask token>\n\n def __str__(self):\n return self.name\n\n def __iter__(self):\n return six.itervalues(self.instances)\n\n def __len__(self):\n return... | [
12,
18,
20,
22,
26
] |
from django.shortcuts import render
from django.contrib import messages
from django.contrib.auth import logout
from django.contrib.auth.decorators import login_required
# Create your views here.
# def login(request):
# return render(request, 'login.html')
# def validar_login(request):
# usuario= request.POST['... | normal | {
"blob_id": "08712e050bd90408ed9d22bba9f62fafacd64d99",
"index": 9671,
"step-1": "<mask token>\n\n\n@login_required\ndef Lojanisima(request):\n return render(request, 'lojanisima/ruta_lojanisima.html')\n\n\n@login_required\ndef Identiarte(request):\n return render(request, 'identiarte/ruta_identiarte.html'... | [
3,
4,
5,
6,
7
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class BoletoGerenciaNetConfig(AppConfig):
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class BoletoGerenciaNetConfig(AppConfig):
name = 'boletogerencianet'
<|reserved_spec... | flexible | {
"blob_id": "c2069113f322c97e953fba6b9d21b90a8b13a066",
"index": 2308,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass BoletoGerenciaNetConfig(AppConfig):\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass BoletoGerenciaNetConfig(AppConfig):\n name = 'boletogerencianet'\n",
"step-4"... | [
0,
1,
2,
3
] |
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