code stringlengths 13 6.09M | order_type stringclasses 2
values | original_example dict | step_ids listlengths 1 5 |
|---|---|---|---|
# -*- coding: utf-8 -*-
"""
Created on Tue Jul 11 11:11:32 2017
@author: lindseykitchell
"""
import pandas as pd
import numpy as np
from scipy.stats.stats import pearsonr
import matplotlib.pylab as plt
import glob
import os
pwd = os.getcwd()
df_dict = {}
subj_list = []
for file in glob.glob(pwd + "/*spectrum.json")... | normal | {
"blob_id": "f78f8f560b7eb70232658be762e2058535a68122",
"index": 9086,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor file in glob.glob(pwd + '/*spectrum.json'):\n subj_name = os.path.basename(file)[0:6]\n subj_list.append(subj_name)\n df_dict[os.path.basename(file)[0:6]] = pd.read_json(file... | [
0,
1,
2,
3,
4
] |
# Generated by Django 2.0.5 on 2019-06-12 08:03
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('doctor', '0257_merge_20190524_1533'),
('doctor', '0260_merge_20190604_1428'),
]
operations = [
]
| normal | {
"blob_id": "a5dff32dfbe93ba081144944381b96940da541ad",
"index": 7802,
"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 = [('doctor', '0... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
class ModelSaver(Callback):
"""
Keras callback subclass which defines a saving procedure of the model being trained : after each epoch,
the last model is saved under the name 'after_random.cnn'. The best model is saved with the name 'best_model.cnn'.
The model after random... | flexible | {
"blob_id": "f8635c815b375dc77e971d4ea0f86547215ab2f9",
"index": 7987,
"step-1": "<mask token>\n\n\nclass ModelSaver(Callback):\n \"\"\"\n Keras callback subclass which defines a saving procedure of the model being trained : after each epoch,\n the last model is saved under the name 'after_random.cnn'. ... | [
6,
7,
8,
10,
13
] |
<|reserved_special_token_0|>
class my_model:
<|reserved_special_token_0|>
def make_model(self, param):
"""makes the model"""
self.lr = param[0][0]
dr = param[0][1]
layer_units0 = param[0][2]
layer_units1 = param[0][3]
layer_units2 = param[0][4]
def lea... | flexible | {
"blob_id": "d015a1b27a3a9e7f5e6614da752137064000b905",
"index": 239,
"step-1": "<mask token>\n\n\nclass my_model:\n <mask token>\n\n def make_model(self, param):\n \"\"\"makes the model\"\"\"\n self.lr = param[0][0]\n dr = param[0][1]\n layer_units0 = param[0][2]\n layer... | [
3,
4,
5,
6,
7
] |
import argparse
def wrong_subtraction(n, k):
output = n
for i in range(k):
string_n = str(output)
if string_n[len(string_n) - 1] == '0':
output = int(string_n[:-1])
else:
output -= 1
return output
# d = "Do the wrong subtraction as per https://codeforces.com... | normal | {
"blob_id": "166a8cd0e09fbec739f43019659eeaf98b1d4fa4",
"index": 4446,
"step-1": "<mask token>\n\n\ndef wrong_subtraction(n, k):\n output = n\n for i in range(k):\n string_n = str(output)\n if string_n[len(string_n) - 1] == '0':\n output = int(string_n[:-1])\n else:\n ... | [
1,
2,
3,
4,
5
] |
import os
from googleapiclient.discovery import build
import httplib2
from oauth2client import gce
from oauth2client.appengine import AppAssertionCredentials
from oauth2client.file import Storage
__author__ = 'ekampf'
import json
import logging
import apiclient.errors
from apiclient import http as apiclient_request... | normal | {
"blob_id": "10d5eef304a3d293441169ebde1f7859537c4b6e",
"index": 9847,
"step-1": "import os\nfrom googleapiclient.discovery import build\nimport httplib2\nfrom oauth2client import gce\nfrom oauth2client.appengine import AppAssertionCredentials\nfrom oauth2client.file import Storage\n\n__author__ = 'ekampf'\n\n\n... | [
0
] |
import numpy as np
import matplotlib.pyplot as plt
import scipy.stats as stats
XZ_MESH = np.meshgrid(
np.linspace(0, 1, 100), np.linspace(0.5, 1, 100)
)
XZ_GRID = np.append(
XZ_MESH[0].reshape(-1, 1), XZ_MESH[1].reshape(-1, 1), 1
)
QI_MESH = np.meshgrid(
np.linspace(0, 1, 100), np.linspace(0, 1, 100)
)
Q... | normal | {
"blob_id": "05badb45c2249dc52b72a46779a8e619cd8a3ca9",
"index": 7088,
"step-1": "<mask token>\n\n\ndef get_pdf(kde, grid, resample=False, N=10000):\n if resample:\n x, y = kde.resample(N)\n kde = stats.kde.gaussian_kde(np.column_stack((x, y)).T)\n return kde(grid.T).reshape(100, 100)\n\n\nde... | [
7,
9,
10,
11,
13
] |
<|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": "52da8608e43b2d8dfe00f0956a1187fcf2e7b1ff",
"index": 41,
"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 = [('DHOPD', '0015... | [
0,
1,
2,
3,
4
] |
from django.apps import AppConfig
class GerenciaLedsConfig(AppConfig):
name = 'gerencia_leds'
| normal | {
"blob_id": "0754103c2d8cef0fd23b03a8f64ade8f049bce48",
"index": 4890,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass GerenciaLedsConfig(AppConfig):\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass GerenciaLedsConfig(AppConfig):\n name = 'gerencia_leds'\n",
"step-4": "from django... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
def notify(msg):
with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as s:
if not s.connect_ex(('localhost', 9001)):
s.sendall(bytes(msg, 'utf8'))
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def test_json(text):
... | flexible | {
"blob_id": "6f99b4e4204e85c78f9c02a5cd53cd76f52c022c",
"index": 617,
"step-1": "<mask token>\n\n\ndef notify(msg):\n with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as s:\n if not s.connect_ex(('localhost', 9001)):\n s.sendall(bytes(msg, 'utf8'))\n\n\n<mask token>\n",
"step-2": "<m... | [
1,
2,
3,
4,
5
] |
# -*- coding: utf-8 -*-
# @Time : 2020/3/4 10:34
# @Author : YYLin
# @Email : 854280599@qq.com
# @File : Skip_GAN.py
from Dataload import load_anime_old, save_images, load_CelebA
from Srresnet_Model import Generator_srresnet, Discriminator_srresnet
import tensorflow as tf
import numpy as np
import sys... | normal | {
"blob_id": "d3b00a8d410248aedb1c43354e89ccc298b56a3c",
"index": 7693,
"step-1": "<mask token>\n\n\nclass Skip_GAN(object):\n\n def __init__(self, sess, epoch, batch_size, dataset_name, result_dir,\n z_dim, y_dim, checkpoint_dir, num_resblock, Cycle_lr, Class_weight,\n Resnet_weight):\n s... | [
2,
3,
4,
5,
6
] |
from abc import abstractmethod
class BaseButton:
@abstractmethod
def render(self):
pass
@abstractmethod
def on_click(self):
pass
class WindowsButton(BaseButton):
def render(self):
print("Render window button")
def on_click(self):
print("On click")
class Ht... | normal | {
"blob_id": "003976d850e371e01e6d0a307d3cf366f962c53d",
"index": 4358,
"step-1": "<mask token>\n\n\nclass HtmlButton(BaseButton):\n\n def render(self):\n print('Render html button')\n <mask token>\n\n\nclass BaseDialog:\n\n @abstractmethod\n def create_button(self) ->BaseButton:\n pass\... | [
14,
15,
19,
23,
24
] |
<|reserved_special_token_0|>
class NetworkAdapter(models.Model):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
class Meta:
db_table = 'cmdb_acc_network_adapter'
verbose_name = u'配件网卡表'
verbose_name_plural = u'配件网卡表'
class NetworkCable(models.Model):
cat = models... | flexible | {
"blob_id": "6bd423223e1ec2bb3a213158ac6da3a6483b531f",
"index": 4914,
"step-1": "<mask token>\n\n\nclass NetworkAdapter(models.Model):\n <mask token>\n <mask token>\n\n\n class Meta:\n db_table = 'cmdb_acc_network_adapter'\n verbose_name = u'配件网卡表'\n verbose_name_plural = u'配件网卡表'\... | [
15,
17,
18,
19,
27
] |
#Author: AKHILESH
#This program illustrates the advanced concepts of inheritance
#Python looks up for method in following order: Instance attributes, class attributes and the
#from the base class
#mro: Method Resolution order
class Data(object):
def __init__(self, data):
self.data = data
def getData(s... | normal | {
"blob_id": "153a33b85cf8b3ef9c742f05b460e94e0c684682",
"index": 1000,
"step-1": "class Data(object):\n <mask token>\n <mask token>\n\n\nclass Time(Data):\n\n def getTime(self):\n print('Time:', self.data)\n\n\n<mask token>\n",
"step-2": "class Data(object):\n\n def __init__(self, data):\n ... | [
3,
4,
5,
6,
7
] |
class Graph:
def __init__(self, num_vertices):
self.adj_list = {}
for i in range(num_vertices):
self.adj_list[i] = []
def add_vertice(self, source):
self.adj_list[source] = []
def add_edge(self, source, dest):
self.adj_list[source].append(dest)
def print_g... | normal | {
"blob_id": "ae5ec7919b9de4fbf578547c31837add32826f60",
"index": 7448,
"step-1": "class Graph:\n\n def __init__(self, num_vertices):\n self.adj_list = {}\n for i in range(num_vertices):\n self.adj_list[i] = []\n\n def add_vertice(self, source):\n self.adj_list[source] = []\n... | [
5,
6,
7,
8
] |
"""
Created on Wed Nov 6 13:03:42 2019
@author: antonio.blago
"""
#%% Connect to database
import sqlite3
conn = sqlite3.connect('Portfolio_dividens.db')
c = conn.cursor()
from sqlalchemy import create_engine #suport pd.dataframe to sql table
#import mysqlclient
engine = create_engine("sqlite:///Portf... | normal | {
"blob_id": "cee77a97503cca517d03ce7cce189974da282a03",
"index": 2500,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nif len(inspect_tables) == 0:\n for k, t in enumerate(tickers):\n ticker_data = pd.DataFrame()\n try:\n ticker_data = wb.DataReader(t, data_source='yahoo', star... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
class ConnectWindow:
<|reserved_special_token_0|>
def startScreen(self):
"""This function creates the board and intializes the board count for each column"""
self.background = Rectangle(Point(0, 0), Point(690, 590))
self.background.setFill('blue')
... | flexible | {
"blob_id": "abbad57e945d2195021948a0e0838c6bfd9c6a1e",
"index": 769,
"step-1": "<mask token>\n\n\nclass ConnectWindow:\n <mask token>\n\n def startScreen(self):\n \"\"\"This function creates the board and intializes the board count for each column\"\"\"\n self.background = Rectangle(Point(0,... | [
2,
8,
10,
11,
16
] |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Fri Jan 10 11:08:59 2020
@author: rishi
"""
# --------- Global Variables -----------
# Will hold our game board data
board = ["-" for i in range(1,26)]
# Lets us know if the game is over yet
game_still_going = True
# Tells us who the winner is
winner = ... | normal | {
"blob_id": "605e088beed05c91b184e26c4a5d2a97cb793759",
"index": 2909,
"step-1": "<mask token>\n\n\ndef display_board():\n print('\\n')\n print(board[0] + ' | ' + board[1] + ' | ' + board[2] + ' | ' + board[3] +\n ' | ' + board[4] + ' 1 | 2 | 3 | 4 | 5')\n print(board[5] + ' | ' + board[6] + ... | [
7,
9,
11,
12,
13
] |
# -*- coding: utf-8 -*-
# Generated by Django 1.11.17 on 2021-04-09 06:08
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('lkft', '0021_reportjob_finished_successfully'),
]
operations = [
migration... | normal | {
"blob_id": "787397473c431d2560bf8c488af58e976c1864d0",
"index": 6730,
"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 = [('lkft', '002... | [
0,
1,
2,
3,
4
] |
balance=42
annualInterestRate=0.20
monthlyPaymentRate=0.04
monthlyir = annualInterestRate/12
rb=balance
for i in range(12):
mp = monthlyPaymentRate * rb
rb=rb-mp
rb=rb+rb*monthlyir
print('remaining balance: ',round(rb,2))
| normal | {
"blob_id": "1429524b0ae3b679bc3d4386dd17ed50b0fff381",
"index": 146,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor i in range(12):\n mp = monthlyPaymentRate * rb\n rb = rb - mp\n rb = rb + rb * monthlyir\nprint('remaining balance: ', round(rb, 2))\n",
"step-3": "balance = 42\nannualInter... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
class manualSelecter(featureSelection):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
class markerSelecter_tt(featureSelection):
"""
for labeled data only
select cluster marker as feature
"""
def __init__(self, nu... | flexible | {
"blob_id": "c972f732553f27261d2a4a03e6e353f2e1b5f5d3",
"index": 8256,
"step-1": "<mask token>\n\n\nclass manualSelecter(featureSelection):\n <mask token>\n <mask token>\n <mask token>\n\n\nclass markerSelecter_tt(featureSelection):\n \"\"\"\n for labeled data only\n select cluster marker as fe... | [
9,
11,
21,
23,
25
] |
# python3
from random import randint
def partition3(array, left, right):
pivot = array[right]
begin = left - 1
end = left - 1
for j in range(left, right):
if array[j] < pivot:
begin += 1
array[begin], array[j] = array[j], array[begin]
end += 1
i... | normal | {
"blob_id": "a2fc9d947c75eaaaeafcd92750c99f4cfcdb9d7d",
"index": 4517,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef partition3(array, left, right):\n pivot = array[right]\n begin = left - 1\n end = left - 1\n for j in range(left, right):\n if array[j] < pivot:\n be... | [
0,
2,
3,
4,
5
] |
"""
Simple neural network using pytorch
"""
import torch
import torch.nn as nn
# Prepare the data
# X represents the amount of hours studied and how much time students spent sleeping
X = torch.tensor(([2, 9], [1, 5], [3, 6]), dtype=torch.float) # 3 X 2 tensor
# y represent grades.
y = torch.tensor(([92], [100], [89]... | normal | {
"blob_id": "2d5e7c57f58f189e8d0c7d703c1672ea3586e4ac",
"index": 6771,
"step-1": "<mask token>\n\n\nclass Neural_Network(nn.Module):\n <mask token>\n\n def __init__(self, input_size=2, output_size=1, hidden_size=3):\n super(Neural_Network, self).__init__()\n self.input_size = input_size\n ... | [
9,
10,
12,
13,
14
] |
<|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": "5f2110bcab465a85ad7db1b0e01a882b3ed305a5",
"index": 2876,
"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 = [('ashesiunder... | [
0,
1,
2,
3,
4
] |
# 홍준이는 요즘 주식에 빠져있다. 그는 미래를 내다보는 눈이 뛰어나, 날 별로 주가를 예상하고 언제나 그게 맞아떨어진다. 매일 그는 아래 세 가지 중 한 행동을 한다.
# 1. 주식 하나를 산다.
# 2. 원하는 만큼 가지고 있는 주식을 판다.
# 3. 아무것도 안한다.
# 홍준이는 미래를 예상하는 뛰어난 안목을 가졌지만, 어떻게 해야 자신이 최대 이익을 얻을 수 있는지 모른다. 따라서 당신에게 날 별로 주식의 가격을 알려주었을 때, 최대 이익이 얼마나 되는지 계산을 해달라고 부탁했다.
# 예를 들어 날 수가 3일이고 날 별로 주가가 10, 7, 6일 때, 주... | normal | {
"blob_id": "d3f6fb612e314ee2b86f6218719ecac2cc642c59",
"index": 2992,
"step-1": "# 홍준이는 요즘 주식에 빠져있다. 그는 미래를 내다보는 눈이 뛰어나, 날 별로 주가를 예상하고 언제나 그게 맞아떨어진다. 매일 그는 아래 세 가지 중 한 행동을 한다.\n\n# 1. 주식 하나를 산다.\n# 2. 원하는 만큼 가지고 있는 주식을 판다.\n# 3. 아무것도 안한다.\n\n# 홍준이는 미래를 예상하는 뛰어난 안목을 가졌지만, 어떻게 해야 자신이 최대 이익을 얻을 수 있는지 모른다. 따라서 당신에게... | [
1
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def run_test():
marks = 3
events, query = get_test_events_query(marks=marks)
beta = th.rand([marks, marks])
get_r_terms(events=events, beta=beta)
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|r... | flexible | {
"blob_id": "2681bd9fe93a4d61214b7c45e5d73097ab73dc07",
"index": 5486,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef run_test():\n marks = 3\n events, query = get_test_events_query(marks=marks)\n beta = th.rand([marks, marks])\n get_r_terms(events=events, beta=beta)\n\n\n<mask token>... | [
0,
1,
2,
3
] |
"""lendbooks URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/1.10/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: url(r'^$', views.home, name='home')
Class-... | normal | {
"blob_id": "9e950f6fe895cfd497e94139397e8a0f19725dc0",
"index": 1902,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nurlpatterns += [url('^api-auth/', include('rest_framework.urls', namespace=\n 'rest_framework'))]\n",
"step-3": "<mask token>\nurlpatterns = [url('^admin/', admin.site.urls), url('^'... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
class recomend(AsyncJsonWebsocketConsumer):
async def connect(self):
await self.accept()
while True:
df = pandas.read_csv(dataDir + 'Readings.csv', sep='\\t')
recommendation1 = float(df['Recommendation1'][len(df) - 1])
recommendatio... | flexible | {
"blob_id": "466ffbd1f25423e4209fa7331d8b824b2dd3cd70",
"index": 4031,
"step-1": "<mask token>\n\n\nclass recomend(AsyncJsonWebsocketConsumer):\n\n async def connect(self):\n await self.accept()\n while True:\n df = pandas.read_csv(dataDir + 'Readings.csv', sep='\\\\t')\n r... | [
6,
7,
8,
10,
13
] |
# Generated by Django 2.2.2 on 2021-01-23 04:11
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('task', '0022_taskrecycle_create_date'),
]
operations = [
migrations.RemoveField(
model_name='ansibleextravars',
name='playbo... | normal | {
"blob_id": "d5beff74e3746c77cbaf6b8233b822ed1a86701e",
"index": 316,
"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 = [('task', '0022... | [
0,
1,
2,
3,
4
] |
from rest_framework import viewsets
from .serializers import UserSerializer
from .models import UserCustom
class UserViewSet(viewsets.ModelViewSet):
"""
API endpoint that allows users to be viewed or edited.
"""
queryset = UserCustom.objects.all()
serializer_class = UserSerializer
| normal | {
"blob_id": "fadf16792822926cb7b7386291e52ce44693baf8",
"index": 2053,
"step-1": "<mask token>\n\n\nclass UserViewSet(viewsets.ModelViewSet):\n <mask token>\n <mask token>\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass UserViewSet(viewsets.ModelViewSet):\n <mask token>\n queryset = UserCu... | [
1,
2,
3,
4
] |
from abc import abstractmethod
from suzieq.shared.sq_plugin import SqPlugin
class InventoryAsyncPlugin(SqPlugin):
"""Plugins which inherit this class will have methods 'run'
Once the controller check that the object inherit this class, it launches
a new task executing the run method.
"""
async d... | normal | {
"blob_id": "8b49aa63cc6e4490b7b22cd304dbba132962c870",
"index": 9049,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass InventoryAsyncPlugin(SqPlugin):\n <mask token>\n\n async def run(self):\n \"\"\"Background task to launch in order to execute the plugin\"\"\"\n try:\n ... | [
0,
1,
2,
3
] |
<|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": "a90db2073d43d54cbcc04e3000e5d0f2a2da4a55",
"index": 5281,
"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 = [('index', '00... | [
0,
1,
2,
3,
4
] |
from django.apps import AppConfig
class BoletoGerenciaNetConfig(AppConfig):
name = 'boletogerencianet'
| normal | {
"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
] |
# -*- coding: utf-8 -*-
# Generated by Django 1.10.5 on 2017-07-31 18:38
from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('product', '0007_auto_20170731_1812'),
]
operations... | normal | {
"blob_id": "ae82ecadb61fd87afbc83926b9dc9d5f7e8c35a0",
"index": 4194,
"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
] |
<|reserved_special_token_0|>
def tt(X, y, sample):
X_train, X_valid, y_train, y_valid = train_test_split(X, y, train_size=
sample, random_state=1)
return {'X_train': X_train, 'X_valid': X_valid, 'y_train': y_train,
'y_valid': y_valid}
<|reserved_special_token_1|>
<|reserved_special_token_0|... | flexible | {
"blob_id": "1b773f2ca01f07d78d2d7edc74cd2df6630aa97a",
"index": 4968,
"step-1": "<mask token>\n\n\ndef tt(X, y, sample):\n X_train, X_valid, y_train, y_valid = train_test_split(X, y, train_size=\n sample, random_state=1)\n return {'X_train': X_train, 'X_valid': X_valid, 'y_train': y_train,\n ... | [
1,
2,
3,
4,
5
] |
listtuple = [(1, 2), (2, 3), (3, 4), (4, 5)]
dictn = dict(listtuple)
print(dictn)
| normal | {
"blob_id": "85bc304c69dac8bb570f920f9f12f558f4844c49",
"index": 8644,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(dictn)\n",
"step-3": "listtuple = [(1, 2), (2, 3), (3, 4), (4, 5)]\ndictn = dict(listtuple)\nprint(dictn)\n",
"step-4": null,
"step-5": null,
"step-ids": [
0,
1,
... | [
0,
1,
2
] |
"""
COMPARISON OPERATORS
"""
__author__ = 'Sol Amour - amoursol@gmail.com'
__twitter__ = '@solamour'
__version__ = '1.0.0'
greaterThan = 10 > 5 # Is '10' greater than '5' ? Evaluates to True
greaterThanOrEqualTo = 10 >= 10 # Is '10' greater than or equal to '10'
# ? Evaluates to True
lessThan = 5 < 10 # Is '5' les... | normal | {
"blob_id": "3b737aaa820da8f70a80480c6404e4d3a9d2262e",
"index": 5602,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n__author__ = 'Sol Amour - amoursol@gmail.com'\n__twitter__ = '@solamour'\n__version__ = '1.0.0'\ngreaterThan = 10 > 5\ngreaterThanOrEqualTo = 10 >= 10\nlessThan = 5 < 10\nlessThanOrEqualT... | [
0,
1,
2
] |
from xai.brain.wordbase.adjectives._corporal import _CORPORAL
#calss header
class _CORPORALS(_CORPORAL, ):
def __init__(self,):
_CORPORAL.__init__(self)
self.name = "CORPORALS"
self.specie = 'adjectives'
self.basic = "corporal"
self.jsondata = {}
| normal | {
"blob_id": "d2787f17a46cf0db9aeea82f1b97ee8d630fd28a",
"index": 8932,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass _CORPORALS(_CORPORAL):\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass _CORPORALS(_CORPORAL):\n\n def __init__(self):\n _CORPORAL.__init__(self)\n se... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class Migration(migrations.Migration):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class Migration(migrations.Migration):
dependencies = [(... | flexible | {
"blob_id": "0aed35827e6579f7a9434d252d0b9150ab24adf9",
"index": 4573,
"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 = [('codenerix_p... | [
0,
1,
2,
3,
4
] |
# _*_ coding:utf-8 _*_
import csv
c=open(r"e:/test.csv","r+")
#read=csv.reader(c)
#for line in read:
# print line
read=c.readlines()
print read
c.close() | normal | {
"blob_id": "c65e14de297cc785b804e68f29bd5766ca7a8cf7",
"index": 7958,
"step-1": "# _*_ coding:utf-8 _*_\nimport csv\n\nc=open(r\"e:/test.csv\",\"r+\")\n#read=csv.reader(c)\n#for line in read:\n# print line\nread=c.readlines()\nprint read\nc.close()",
"step-2": null,
"step-3": null,
"step-4": null,
"s... | [
0
] |
import time
t0 = time.time()
while abs(t0 - time.time() < 60):
pass
| normal | {
"blob_id": "9a0e37aaa41f3b21ed7ad11096cd6c5dd0bb8564",
"index": 5608,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nwhile abs(t0 - time.time() < 60):\n pass\n",
"step-3": "<mask token>\nt0 = time.time()\nwhile abs(t0 - time.time() < 60):\n pass\n",
"step-4": "import time\nt0 = time.time()\nwh... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
def get_req_var(var):
result = 0
for s in vars:
s = re.search('((?<=' + var + '>).+)', s)
if s:
result = s[0]
break
return result
<|reserved_special_token_0|>
@app.route('/')
def home():
return render_template('index.html')
<|r... | flexible | {
"blob_id": "e30aaf1616a107662924da3671b179a1887974f7",
"index": 2404,
"step-1": "<mask token>\n\n\ndef get_req_var(var):\n result = 0\n for s in vars:\n s = re.search('((?<=' + var + '>).+)', s)\n if s:\n result = s[0]\n break\n return result\n\n\n<mask token>\n\n\n@... | [
7,
8,
10,
11,
12
] |
<|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_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class Migration(migrations.... | flexible | {
"blob_id": "52a4213a1729e25f96faebc5fd4f299017446c5a",
"index": 6370,
"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
] |
"""
@file : 001-rnn+lstm+crf.py
@author: xiaolu
@time : 2019-09-06
"""
import re
import numpy as np
import tensorflow as tf
from sklearn.metrics import classification_report
class Model:
def __init__(self, dim_word, dim_char, dropout, learning_rate,
hidden_size_char, hidden_size_word, num_l... | normal | {
"blob_id": "5d9c8e235385ff53c7510994826ff3a04e4a5888",
"index": 10,
"step-1": "<mask token>\n\n\nclass Model:\n\n def __init__(self, dim_word, dim_char, dropout, learning_rate,\n hidden_size_char, hidden_size_word, num_layers):\n \"\"\"\n :param dim_word: 词的维度\n :param dim_char: 字... | [
5,
8,
10,
11,
13
] |
# import adafruit_ads1x15 as adс
# from adafruit_ads1x15 import ads1x15 as adc
# from adafruit_ads1x15 import analog_in
import time
import busio
import board
from adafruit_ads1x15 import ads1015 as ADS
from adafruit_ads1x15.analog_in import AnalogIn
i2c = busio.I2C(board.SCL, board.SDA)
ads = ADS.ADS1015(i2c... | normal | {
"blob_id": "388904b6b826a1c718b85f2951a3189bb5abea2a",
"index": 9755,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint('{:>5}\\t{:>5}'.format('raw', 'v'))\nwhile True:\n print('{:>5}\\t{:>5.3f}'.format(chan.value, chan.voltage))\n time.sleep(0.5)\n",
"step-3": "<mask token>\ni2c = busio.I2C(... | [
0,
1,
2,
3,
4
] |
import math
from Config import defaults as df
from Utils.controls import sigmoid_decay
def f1(phi, phi_o, d):
"""sinusoidally growing function between (phi_o-d) to phi_o"""
return 1 - sigmoid_decay(phi, phi_o, d)
def f2(phi, sigma):
"""normal distribution"""
return math.exp(-phi ** 2 / sigma ** 2)
... | normal | {
"blob_id": "19bb3cd0c7862f39a78479d9a9703ebef198fc73",
"index": 3677,
"step-1": "<mask token>\n\n\ndef f1(phi, phi_o, d):\n \"\"\"sinusoidally growing function between (phi_o-d) to phi_o\"\"\"\n return 1 - sigmoid_decay(phi, phi_o, d)\n\n\ndef f2(phi, sigma):\n \"\"\"normal distribution\"\"\"\n retu... | [
2,
3,
4,
5,
6
] |
### To run the test use:
### python3 -m unittest test_script.py
import unittest
import re
class TestCustomerDetails(unittest.TestCase):
def test_cu_name(self):
### Our script has a class ConfigurationParser, which will have method ParseCuNames
cp = ConfigurationParser()
### expected nam... | normal | {
"blob_id": "582cbacd26f4a3ed0b4f5c85af67758de7c05836",
"index": 7396,
"step-1": "<mask token>\n\n\nclass ConfigurationParser:\n <mask token>\n <mask token>\n\n def ParseVlan(self, cuName):\n intPattern = (\n 'interface GigabitEthernet0\\\\/0.([0-9]+)\\\\n\\\\s+encapsulation\\\\s+dot1Q... | [
2,
6,
7,
8,
9
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
{'filter': false, 'title': 'cash.py', 'tooltip': '/pset6/cash/cash.py',
'undoManager': {'mark': 100, 'position': 100, 'stack': [[{'start': {
'row': 12, 'column': 7}, 'end': {'row': 12, 'column': 8}, 'action':
'insert', 'lines': [' '], 'id': 308}, ... | flexible | {
"blob_id": "d14c22ba6db90a93a19d61e105e31b3eb8f3a206",
"index": 1706,
"step-1": "<mask token>\n",
"step-2": "{'filter': false, 'title': 'cash.py', 'tooltip': '/pset6/cash/cash.py',\n 'undoManager': {'mark': 100, 'position': 100, 'stack': [[{'start': {\n 'row': 12, 'column': 7}, 'end': {'row': 12, 'colum... | [
0,
1,
2
] |
from django.db import models
from django.utils import timezone
class Test(models.Model):
word1 = models.CharField(max_length=50)
word2 = models.CharField(max_length=50)
word3 = models.CharField(max_length=50)
answer = models.CharField(max_length=50)
#def __str__(self):
# return self.word1, ... | normal | {
"blob_id": "2a1d31b2123c11af3fce571287d3dad00a9b0086",
"index": 2820,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass Test(models.Model):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass Test(models.Model):\n word1 = models.Char... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
def income_input(prompt_message):
prompt = prompt_message + ' '
temp = input(prompt)
return float(temp)
<|reserved_special_token_0|>
<|reserved_special_token_1|>
def income_input(prompt_message):
prompt = prompt_message + ' '
temp = i... | flexible | {
"blob_id": "d5acde6c6139833c6631a2d88a181cd019d3d2da",
"index": 5747,
"step-1": "<mask token>\n",
"step-2": "def income_input(prompt_message):\n prompt = prompt_message + ' '\n temp = input(prompt)\n return float(temp)\n\n\n<mask token>\n",
"step-3": "def income_input(prompt_message):\n prompt =... | [
0,
1,
2,
3,
4
] |
import copy
import numpy as np
from PySide2.QtCore import QItemSelectionModel, QObject, Signal
from PySide2.QtWidgets import (
QComboBox, QLineEdit, QSizePolicy, QTableWidgetItem
)
from hexrd.constants import chargestate
from hexrd.material import Material
from hexrd.ui.periodic_table_dialog import PeriodicTabl... | normal | {
"blob_id": "ec2be72f81d260c491cdc31b68b34401fb49b91e",
"index": 2660,
"step-1": "<mask token>\n\n\nclass MaterialSiteEditor(QObject):\n <mask token>\n\n def __init__(self, site, parent=None):\n super().__init__(parent)\n loader = UiLoader()\n self.ui = loader.load_file('material_site_... | [
39,
40,
47,
54,
57
] |
<|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 = [m... | flexible | {
"blob_id": "8471e6a3b6623236740ad5219e5038a64e0c0056",
"index": 2083,
"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 = [migrations.sw... | [
0,
1,
2,
3,
4
] |
def my_filter(L, num):
return [x for x in L if x % num]
print 'my_filter', my_filter([1, 2, 4, 5, 7], 2)
def my_lists(L):
return [range(1, x+1) for x in L]
print 'my_lists', my_lists([1, 2, 4])
print 'my_lists', my_lists([0])
def my_function_composition(f, g):
return {f_key: g[f_val] for f_key, f_val in f.item... | normal | {
"blob_id": "119ebdf4c686c52e052d3926f962cefdc93681cd",
"index": 9984,
"step-1": "def my_filter(L, num):\n\treturn [x for x in L if x % num]\n\nprint 'my_filter', my_filter([1, 2, 4, 5, 7], 2)\n\n\ndef my_lists(L):\n\treturn [range(1, x+1) for x in L]\n\nprint 'my_lists', my_lists([1, 2, 4])\nprint 'my_lists', m... | [
0
] |
<|reserved_special_token_0|>
class VirtualArray(common.CoprHDResource):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
def varray_list(self, vdcname=None):
"""Returns all the varrays in a vdc.
:param vdcname: Na... | flexible | {
"blob_id": "2d48a343ca7f0f8ba7de8b520aad71d774d9b4ba",
"index": 9302,
"step-1": "<mask token>\n\n\nclass VirtualArray(common.CoprHDResource):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n def varray_list(self, vdcname=None):\n \"\"\"Returns all the varrays in a vdc.\n\n ... | [
2,
4,
5,
6,
7
] |
<|reserved_special_token_0|>
class RealVelocityController(RegulatorBaseClass):
settings = {'kp': 10, 'ki': 0, 'kd': 1}
v_d = 4
emergency_break_constant = 0.4
emergency_break_safety_factor = 1
def __init__(self):
self.orientation_controller = PID(**self.settings, signed_error=
... | flexible | {
"blob_id": "98bf0a332a6753e500b24bed2af16fe4a1cb9568",
"index": 1560,
"step-1": "<mask token>\n\n\nclass RealVelocityController(RegulatorBaseClass):\n settings = {'kp': 10, 'ki': 0, 'kd': 1}\n v_d = 4\n emergency_break_constant = 0.4\n emergency_break_safety_factor = 1\n\n def __init__(self):\n ... | [
10,
11,
13,
14,
15
] |
<|reserved_special_token_0|>
class Record:
def __init__(self, value=10, name='name'):
self.id = name
self.value = value
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class Record:
def __init__(self, value=10, ... | flexible | {
"blob_id": "3e1540a06c478d471f6e6a190cadc44d5c4c2467",
"index": 665,
"step-1": "<mask token>\n\n\nclass Record:\n\n def __init__(self, value=10, name='name'):\n self.id = name\n self.value = value\n <mask token>\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass Record:\n\n def __... | [
2,
3,
4,
5
] |
<|reserved_special_token_0|>
def calc(N, D):
def check(n):
return not sig(factor(n)) % D
cachePrimes(int(N ** 0.5))
def a2n(a):
return (a + 1) // D
from math import log
def genPrimeSigDivs(minA, maxA):
if minA > maxA:
return None
maxE = int(ceil(log(m... | flexible | {
"blob_id": "fabd3f233753f63d731a43c8b8b311e50d9deefe",
"index": 6349,
"step-1": "<mask token>\n\n\ndef calc(N, D):\n\n def check(n):\n return not sig(factor(n)) % D\n cachePrimes(int(N ** 0.5))\n\n def a2n(a):\n return (a + 1) // D\n from math import log\n\n def genPrimeSigDivs(minA... | [
1,
3,
4,
5,
6
] |
from coarsegrainparams import *
from inva_fcl_stab import *
from Eq import *
from Dynamics import *
from sympy import Matrix,sqrt
def construct_param_dict(params,K_RC,K_CP,m_P):
"""
Construct all the parameters from its relationships with body size and temperature, using the normalizing constants and scaling e... | normal | {
"blob_id": "99c12e925850fe7603831df5b159db30508f4515",
"index": 3832,
"step-1": "<mask token>\n\n\ndef construct_param_dict(params, K_RC, K_CP, m_P):\n \"\"\"\n Construct all the parameters from its relationships with body size and temperature, using the normalizing constants and scaling exponent w\n \... | [
5,
8,
9,
10,
11
] |
import sys
num = int(input())
odd_sum = 0
even_sum = 0
odd_smallest = sys.maxsize
even_smallest = sys.maxsize
odd_biggest = -sys.maxsize
even_biggest = -sys.maxsize
for i in range(0, num):
element = float(input())
if i % 2 != 0:
even_sum += element
if element <= even_smallest:
even_s... | normal | {
"blob_id": "69e8601a387d0987fbb6d1da5ac0f9412fffc63d",
"index": 8768,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor i in range(0, num):\n element = float(input())\n if i % 2 != 0:\n even_sum += element\n if element <= even_smallest:\n even_smallest = element\n ... | [
0,
1,
2,
3
] |
#!/usr/bin/python
# -*- coding: utf-8 -*-
#
# All about users.
#
# author: ze.apollo@gmail.com
#
from client import ClientHelper
from mongodb import MongoDBClient
class FixedData:
def get_data( self, id ):
data = self.get_data_from_mongodb( id )
if ( data ):
return data
else:
... | normal | {
"blob_id": "b1530c664fa236e61ff50bca502bf79730c3386c",
"index": 6647,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass FixedData:\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass FixedData:\n\n def get_data(self, id):\n data = self.get_data_from_mongodb(id)\n if data:\... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
class Modeller:
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class Modeller:
<|reserved_special_token_0|>
def event_mode(self):
refusals = 0
processed = 0
generated_request... | flexible | {
"blob_id": "11ed7550c25ca9944ce7073d9655cb9af7bdeae9",
"index": 1324,
"step-1": "<mask token>\n\n\nclass Modeller:\n <mask token>\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass Modeller:\n <mask token>\n\n def event_mode(self):\n refusals = 0\n processed = 0\n generated... | [
1,
2,
3,
4,
5
] |
import requests
import json
URL = 'https://www.sms4india.com/api/v1/sendCampaign'
# get request
def sendPostRequest(reqUrl, apiKey, secretKey, useType, phoneNo, senderId, textMessage):
req_params = {
'apikey':EON386947EGSUZ4VEMIL8AWQX8RQW6UH,
'secret':FB2K25JVMFPEM310,
'usetype':useType,
'p... | normal | {
"blob_id": "c889fd081eb606dca08fade03aa0a4d32319f98d",
"index": 9362,
"step-1": "import requests\r\nimport json\r\n\r\nURL = 'https://www.sms4india.com/api/v1/sendCampaign'\r\n\r\n\r\n\r\n\r\n# get request\r\ndef sendPostRequest(reqUrl, apiKey, secretKey, useType, phoneNo, senderId, textMessage):\r\n req_param... | [
0
] |
from EdgeState import EdgeState
from rest_framework import serializers
from dzTrafico.BusinessLayer.TrafficAnalysis.TrafficAnalyzer import TrafficAnalyzer, VirtualRampMetering
from dzTrafico.BusinessEntities.Location import LocationSerializer
from dzTrafico.BusinessLayer.SimulationCreation.NetworkManager import Network... | normal | {
"blob_id": "892c363c247177deb3297af84a93819a69e16801",
"index": 8907,
"step-1": "from EdgeState import EdgeState\nfrom rest_framework import serializers\nfrom dzTrafico.BusinessLayer.TrafficAnalysis.TrafficAnalyzer import TrafficAnalyzer, VirtualRampMetering\nfrom dzTrafico.BusinessEntities.Location import Loca... | [
0
] |
from pickle import dump, load
def save(parameters):
# Функция сохранения прогресса в файл
with open('saves/save.zs', 'wb') as game_save:
dump(parameters, game_save)
game_save.close()
def load_settings():
# Функция загрузки сохранения при выборе опции продолжения игры
try:... | normal | {
"blob_id": "9d27b8844ab4070bb53afd89620177b89013956e",
"index": 4164,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef save(parameters):\n with open('saves/save.zs', 'wb') as game_save:\n dump(parameters, game_save)\n game_save.close()\n\n\n<mask token>\n",
"step-3": "<mask toke... | [
0,
1,
2,
3,
4
] |
from setuptools import setup
setup(name='RedHatSecurityAdvisory',
version='0.1',
description='Script that automatically checks the RedHat security advisories to see if a CVE applies',
author='Pieter-Jan Moreels',
url='https://github.com/PidgeyL/RedHat-Advisory-Checker',
entry_points={'con... | normal | {
"blob_id": "3f8c13be547099aa6612365452926db95828b9a0",
"index": 554,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nsetup(name='RedHatSecurityAdvisory', version='0.1', description=\n 'Script that automatically checks the RedHat security advisories to see if a CVE applies'\n , author='Pieter-Jan Mo... | [
0,
1,
2,
3
] |
<|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": "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
] |
class Vehicle:
def __init__(self, category, top_speed, acceleration, position=0, speed
=0, wheels=4):
self.category = category
self.speed = speed
self.top_speed = top_speed
self.position = position
self.acceleration = acceleration
self.wheels = wheels
<|r... | flexible | {
"blob_id": "b1573f80395d31017ceacbb998e421daf20ab75f",
"index": 6961,
"step-1": "class Vehicle:\n\n def __init__(self, category, top_speed, acceleration, position=0, speed\n =0, wheels=4):\n self.category = category\n self.speed = speed\n self.top_speed = top_speed\n self.p... | [
3,
4,
5,
6,
7
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
proc1.start()
<|reserved_special_token_0|>
proc2.start()
<|reserved_special_token_1|>
<|reserved_special_token_0|>
web = WebServer()
board_boy = Measurer_and_Filer()
proc1 = Process(target=board_boy.measure_and_file, args=())
p... | flexible | {
"blob_id": "26744d51dbce835d31d572a053294c9d280e1a8b",
"index": 3956,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nproc1.start()\n<mask token>\nproc2.start()\n",
"step-3": "<mask token>\nweb = WebServer()\nboard_boy = Measurer_and_Filer()\nproc1 = Process(target=board_boy.measure_and_file, args=())\... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
while True:
if a == 'r':
print(random.randint(1, 6))
elif a == 'q':
print('bye!')
exit()
else:
print("give either 'r' or 'q'")
<|reserved_special_token_1|>
<|reserved_special_token_0|... | flexible | {
"blob_id": "7e1f77210b3beb4e496ff95686d65bd7d79561a3",
"index": 170,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nwhile True:\n if a == 'r':\n print(random.randint(1, 6))\n elif a == 'q':\n print('bye!')\n exit()\n else:\n print(\"give either 'r' or 'q'\")\n",
"s... | [
0,
1,
2,
3,
4
] |
# -*- coding: utf-8 -*-
"""
Created on Fri Nov 2 16:07:25 2018
@author: Yigao
"""
import re
from nltk.tokenize import TweetTokenizer
from nltk.corpus import stopwords
from wordcloud import WordCloud
import matplotlib.pyplot as plt
## create a tokenizer
hfilename = "file.txt"
linecount=0
hashcount=0
wordcount=0
BagO... | normal | {
"blob_id": "fd04f6f4a03fdbe40e400d04e5759ef9ef30f974",
"index": 6634,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nwith open(hfilename, 'r') as file:\n for line in file:\n tweetSplitter = TweetTokenizer(strip_handles=True, reduce_len=True)\n WordList = tweetSplitter.tokenize(line)\n ... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
class TriggerPipelineReference(Model):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class TriggerPipelineReference(Model):
<|reserved_special_token_0|>
_attribute_m... | flexible | {
"blob_id": "6a954197b13c9adf9f56b82bcea830aaf44e725f",
"index": 8999,
"step-1": "<mask token>\n\n\nclass TriggerPipelineReference(Model):\n <mask token>\n <mask token>\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass TriggerPipelineReference(Model):\n <mask token>\n _attribute_map = {'pipe... | [
1,
3,
4,
5,
6
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
print(dataFrame1.columns)
print(dataFrame1.info())
print(dataFrame1.dtypes)
print(dataFrame1.describe())
<|reserved_special_token_1|>
<|reserved_special_token_0|>
dictionary = {'Name': ['Ali', 'Buse', 'Selma', 'Hakan', 'Bülent'... | flexible | {
"blob_id": "efa94f8442c9f43234d56a781d2412c9f7ab1bb3",
"index": 7910,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(dataFrame1.columns)\nprint(dataFrame1.info())\nprint(dataFrame1.dtypes)\nprint(dataFrame1.describe())\n",
"step-3": "<mask token>\ndictionary = {'Name': ['Ali', 'Buse', 'Selma', '... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
tf.flags.DEFINE_integer('embedding_dim', 100,
'Dimensionality of character embedding (default: 100)')
tf.flags.DEFINE_float('dropout_keep_prob', 0.5,
'Dropout keep probability (default: 0.5)')
tf.flags.DEFINE_integer('batc... | flexible | {
"blob_id": "aa1a7de92b971b6d10d09b2f8ca2c55516e538e4",
"index": 9904,
"step-1": "<mask token>\n",
"step-2": "<mask token>\ntf.flags.DEFINE_integer('embedding_dim', 100,\n 'Dimensionality of character embedding (default: 100)')\ntf.flags.DEFINE_float('dropout_keep_prob', 0.5,\n 'Dropout keep probability ... | [
0,
1,
2,
3,
4
] |
#!/usr/bin/python3
"""
Requests username and tasks from JSON Placeholder
based on userid (which is sys.argv[1])
"""
import json
import requests
import sys
if __name__ == "__main__":
url = "https://jsonplaceholder.typicode.com"
if len(sys.argv) > 1:
user_id = sys.argv[1]
name = requests.get("{}... | normal | {
"blob_id": "e1a2b33a1ec7aca21a157895d8c7c5b5f29ff49c",
"index": 5047,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nif __name__ == '__main__':\n url = 'https://jsonplaceholder.typicode.com'\n if len(sys.argv) > 1:\n user_id = sys.argv[1]\n name = requests.get('{}/users/{}'.format(ur... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
class TimeoutException(Exception):
pass
<|reserved_special_token_0|>
class Control(StreamRequestHandler):
allow_reuse_address = True
def handle(self):
command = 'go'
prompt = True
while command not in ['quit', 'exit']:
command = read_co... | flexible | {
"blob_id": "e00b81f73f4f639e008fde1a6b2d4f7937df4207",
"index": 8518,
"step-1": "<mask token>\n\n\nclass TimeoutException(Exception):\n pass\n\n\n<mask token>\n\n\nclass Control(StreamRequestHandler):\n allow_reuse_address = True\n\n def handle(self):\n command = 'go'\n prompt = True\n ... | [
6,
9,
10,
11,
13
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
from tw.core import *
| flexible | {
"blob_id": "ea25aedc4728c18ac3d5da22c76cb7f1ef65e827",
"index": 4958,
"step-1": "<mask token>\n",
"step-2": "from tw.core import *\n",
"step-3": null,
"step-4": null,
"step-5": null,
"step-ids": [
0,
1
]
} | [
0,
1
] |
import json
import spotipy
import spotipy.util as util
from spotipy.oauth2 import SpotifyClientCredentials
from flask import abort, Flask, flash, redirect, render_template, request, session
from flask_session import Session
from tempfile import mkdtemp
from helpers import login_required
# Configure application
app = ... | normal | {
"blob_id": "4f674b30c919c7ec72c11a8edd9692c91da7cb90",
"index": 9595,
"step-1": "<mask token>\n\n\n@app.route('/tracks', methods=['POST'])\ndef get_user_tracks():\n ids = json.loads(request.data)['ids']\n tracks.extend(ids)\n return 'success'\n\n\n@app.route('/')\n@login_required\ndef index():\n use... | [
4,
6,
7,
8,
9
] |
from django.contrib.auth.models import User
from django.db import models
class QueuedSpace(models.Model):
""" Stores space json for possible further editing before being sent to the server.
q_etag should update on every save so conflicts can be checked for in queued items.
"""
space_id = models.In... | normal | {
"blob_id": "ff09993a4f8fed65fa00c065eb5cfa41e7f9dcc1",
"index": 4411,
"step-1": "<mask token>\n\n\nclass QueuedSpace(models.Model):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n def __unicode__(self):\n ... | [
2,
3,
4,
5,
6
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
if __name__ == '__main__':
mnist_data = input_data.load_mnist_dataset('../../dataset/mnist_data',
one_hot=True)
num_sample = mnist_data.train.num_examples
dataset = 'mnist'
if dataset == 'mnist':
in... | flexible | {
"blob_id": "02a28b61ad9d664c89829df019f4887c2c869f91",
"index": 6046,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nif __name__ == '__main__':\n mnist_data = input_data.load_mnist_dataset('../../dataset/mnist_data',\n one_hot=True)\n num_sample = mnist_data.train.num_examples\n dataset ... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
class TestSpeckleStream(unittest.TestCase):
def setUp(self):
self.s = SpeckleApiClient()
self.user = {'email': 'testuser@arup.com', 'password':
'testpassword', 'username': 'testuser'}
self.test_stream = 'RKWgU-oWF'
self.test_object = '5bcf2... | flexible | {
"blob_id": "b39403171ed264c8fae5ea4ae9d17f77cfcab497",
"index": 9122,
"step-1": "<mask token>\n\n\nclass TestSpeckleStream(unittest.TestCase):\n\n def setUp(self):\n self.s = SpeckleApiClient()\n self.user = {'email': 'testuser@arup.com', 'password':\n 'testpassword', 'username': 'te... | [
7,
11,
12,
13,
14
] |
<|reserved_special_token_0|>
class TypeDirPath(TypeBase):
@classmethod
def control(cls, delegate, property_item, parent):
return PathParamWidget(delegate, parent=parent)
<|reserved_special_token_0|>
@classmethod
def value(cls, control):
return control.text()
<|reserved_specia... | flexible | {
"blob_id": "ee91e8c9dcb940882733b2d23b74a76d0392f4fe",
"index": 2126,
"step-1": "<mask token>\n\n\nclass TypeDirPath(TypeBase):\n\n @classmethod\n def control(cls, delegate, property_item, parent):\n return PathParamWidget(delegate, parent=parent)\n <mask token>\n\n @classmethod\n def valu... | [
21,
41,
43,
45,
61
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def main():
cateto1 = input('dime un cateto')
cateto2 = input('dime el otro cateto')
print('la hipotenusa es: '), hipotenusa(cateto1, cateto2)
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved... | flexible | {
"blob_id": "50ae2b4c6d51451031fc31ebbc43c820da54d827",
"index": 7898,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef main():\n cateto1 = input('dime un cateto')\n cateto2 = input('dime el otro cateto')\n print('la hipotenusa es: '), hipotenusa(cateto1, cateto2)\n\n\n<mask token>\n",
"... | [
0,
1,
2,
3,
5
] |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed Feb 1 17:08:06 2023
@author: Alice Wells
Plotting script for Figure 10 in Wells et al., 2023
Aerosol extinction coefficient vertical profile averaged longitudinally.
Averaged monthly CALIOP (centre) aerosol extinction coefficient vertical
profiles ... | normal | {
"blob_id": "e77c855ba87bc36ab09b0a3eca5c1b7123535794",
"index": 2802,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor i in range(85):\n so2_ash_masked[:, i, :] = so2_ash[:, i, :] * mask\n so2_only_masked[:, i, :] = so2_only[:, i, :] * mask\n<mask token>\nplt.rcParams.update(params)\n<mask token... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
class PyLayer(caffe.Layer):
def setup(self, bottom, top):
if len(bottom) != 2:
raise Exception('Need two inputs to compute distance')
def reshape(self, bottom, top):
if bottom[0].count != bottom[1].count:
raise Exception('Inputs must have ... | flexible | {
"blob_id": "8040b47dc3fd6b03432f64d7fb8a4267cc94ac9a",
"index": 2698,
"step-1": "<mask token>\n\n\nclass PyLayer(caffe.Layer):\n\n def setup(self, bottom, top):\n if len(bottom) != 2:\n raise Exception('Need two inputs to compute distance')\n\n def reshape(self, bottom, top):\n if... | [
3,
4,
5,
6,
7
] |
"""
This is a big integer challenge. You are given an integer which is a **perfect
square**. It is composed of 40 or more digits. Compose a function which will
find the exact square root of this integer.
### Examples
square_root(152415787532388367501905199875019052100) ➞ 12345678901234567890
square_ro... | normal | {
"blob_id": "f9b53df799b3e6b71282c84a625ea5915ccb8014",
"index": 1966,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef square_root(n):\n start = 1\n end = n\n if n == 0 or n == 1:\n return n\n while start <= end:\n mid = (start + end) // 2\n if mid * mid == n:\n ... | [
0,
1,
2
] |
<|reserved_special_token_0|>
class Bet(Document):
"""Bet that a user has placed"""
OUTCOME = (-1, 'Team 2 wins'), (0, 'Draw'), (1, 'Team 1 wins')
group_match = ReferenceField(GroupMatch)
user = ReferenceField(User)
amount = DecimalField()
currency = StringField(max_length=3, choices=CURRENCIES... | flexible | {
"blob_id": "0e8a11c5b5a95929c533597d79ee4f3d037c13e0",
"index": 4961,
"step-1": "<mask token>\n\n\nclass Bet(Document):\n \"\"\"Bet that a user has placed\"\"\"\n OUTCOME = (-1, 'Team 2 wins'), (0, 'Draw'), (1, 'Team 1 wins')\n group_match = ReferenceField(GroupMatch)\n user = ReferenceField(User)\n... | [
9,
10,
15,
16,
17
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class BytesField(BlobField):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class BytesField(BlobField):
<|reserved_special_token_0|>
def... | flexible | {
"blob_id": "b11869076c2c8d6207df861cd1d0b0434b3f9477",
"index": 9836,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass BytesField(BlobField):\n <mask token>\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass BytesField(BlobField):\n <mask token>\n\n def adapt(self, value):\n ... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
if __name__ == '__main__':
dir_path = os.path.dirname(os.path.realpath(__file__))
if runBatch:
fixed_params = {'width': 60, 'height': 60, 'splitSize': 1,
'distributed': True, 'verbose': False, 'searchSi... | flexible | {
"blob_id": "57b51ea36e9e2a095cf7e9646db2cc400cc72b83",
"index": 1082,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nif __name__ == '__main__':\n dir_path = os.path.dirname(os.path.realpath(__file__))\n if runBatch:\n fixed_params = {'width': 60, 'height': 60, 'splitSize': 1,\n '... | [
0,
1,
2,
3,
4
] |
class Car:
<|reserved_special_token_0|>
<|reserved_special_token_0|>
def __init__(self):
self.__updateSoftware()
self.__name = 'Supercar'
self.__maxspeed = 320
def drive(self):
print('Driving')
print('name of the car ' + self.__name)
def __updateSoftware(s... | flexible | {
"blob_id": "318556a6c327294986fcef938c254b8dfe66adaa",
"index": 6375,
"step-1": "class Car:\n <mask token>\n <mask token>\n\n def __init__(self):\n self.__updateSoftware()\n self.__name = 'Supercar'\n self.__maxspeed = 320\n\n def drive(self):\n print('Driving')\n ... | [
5,
6,
7,
8,
9
] |
def getArticle():
text = []
idx = 1
with open('article.txt','r') as f:
data = f.readlines()
for i in data:
if i != '\n':
s = "{ 'id':" + str(idx) + "," + "'text':" + i.rstrip() + " }"
text.append(s)
idx+=1
return text
a = getArticle()
print a
'''
create a list of 100 words article
use javascri... | normal | {
"blob_id": "6591ad20d4a07f29f22b50b6e8998c51e53600d6",
"index": 5686,
"step-1": "def getArticle():\n\ttext = []\n\tidx = 1\n\twith open('article.txt','r') as f:\n\t\tdata = f.readlines()\n\t\tfor i in data:\n\t\t\tif i != '\\n':\n\t\t\t\ts = \"{ 'id':\" + str(idx) + \",\" + \"'text':\" + i.rstrip() + \" }\" \n... | [
0
] |
import random
import matplotlib.pyplot as plt
import tensorflow.keras as keras
mnist = keras.datasets.mnist # MNIST datasets
# Load Data and splitted to train & test sets
# x : the handwritten data, y : the number
(x_train_data, y_train_data), (x_test_data, y_test_data) = mnist.load_data()
print('x_train_d... | normal | {
"blob_id": "b4eb62413fb8069d8f11c34fbfecc742cd79bdb8",
"index": 7057,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint('x_train_data shape:', x_train_data.shape)\nprint(x_train_data.shape[0], 'train samples')\nprint(x_test_data.shape[0], 'test samples')\nprint(x_train_data[0])\n<mask token>\nprint(y... | [
0,
1,
2,
3,
4
] |
""" Compiled: 2020-09-18 10:38:52 """
#__src_file__ = "extensions/AppWorkspaceTools/etc/FAppWorkspaceDesignerNodes.py"
""" Compiled: 2018-06-07 17:06:19 """
#__src_file__ = "extensions/AppWorkspaceTools/etc/FAppWorkspaceDesignerNodes.py"
import acm
import FUxCore
import Contracts_AppConfig_Messages_AppWorkspace as Ap... | normal | {
"blob_id": "f80de2b069cf1dee2e665556262c6e84ce04b208",
"index": 1244,
"step-1": "<mask token>\n\n\nclass MainViewNode(NodeBase):\n <mask token>\n\n def Label(self):\n return 'Main View'\n <mask token>\n\n\nclass DockSectionNode(NodeBase):\n\n def __init__(self, label, icon, contents, settings... | [
15,
37,
38,
44,
48
] |
import unittest
from nldata.corpora import Telegram
import os
class TestTelegram(unittest.TestCase):
def test_export_iter(self):
pass
# telegram = Telegram(data_dir)
# it = telegram.split("train", n=20)
# samples = [s for s in it]
# self.assertEqual(len(samples), 20)
... | normal | {
"blob_id": "5c1d81c973487f1b091e58a6ccf5947c3f2a7e6d",
"index": 1058,
"step-1": "<mask token>\n\n\nclass TestTelegram(unittest.TestCase):\n <mask token>\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\nclass TestTelegram(unittest.TestCase):\n\n def test_export_iter(self):\n pass\n\n\n<mask toke... | [
1,
2,
3,
4,
5
] |
def to_bitmask(n, bits):
# [2:] to chop off the "0b" part
mask = [int(digit) for digit in bin(n)[2:]]
# pad to fixed length
return [0] * (bits - len(mask)) + mask
def invert_mask(mask):
return [int(not bit) for bit in mask] | normal | {
"blob_id": "98f36b216e718fc4fe42d1717ff9ba82cc24c2ff",
"index": 7752,
"step-1": "<mask token>\n",
"step-2": "def to_bitmask(n, bits):\n mask = [int(digit) for digit in bin(n)[2:]]\n return [0] * (bits - len(mask)) + mask\n\n\n<mask token>\n",
"step-3": "def to_bitmask(n, bits):\n mask = [int(digit)... | [
0,
1,
2,
3
] |
# 来源知乎 https://zhuanlan.zhihu.com/p/51987247
# 博客 https://www.cnblogs.com/yangecnu/p/Introduce-Binary-Search-Tree.html
"""
二叉查找树 (Binary Search Tree, BST)
特点 : left < root < right
若任意节点的左子树不空，则左子树上所有结点的 值均小于它的根结点的值；
若任意节点的右子树不空，则右子树上所有结点的值均大于它的根结点的值；
任意节点的左、右子树也分别为二叉查找树；
没有键值相等的节点（no ... | normal | {
"blob_id": "fa46bd784dcfeee4f9012ffb6ab6731d2764c9fa",
"index": 8484,
"step-1": "<mask token>\n\n\nclass BinarySearchTree:\n <mask token>\n\n def __init__(self):\n self._root = None\n\n def __str__(self):\n \"\"\" yield 迭代器 \"\"\"\n tree2list = [x.data for x in self._generate_node(... | [
15,
19,
26,
31,
34
] |
from django.contrib.auth import get_user_model
from rest_framework import generics
from rest_framework.response import Response
from rest_framework_jwt.settings import api_settings
from status.api.serializers import StatusInlineUserSerializer
from status.api.views import StatusAPIView
from status.models import Status
... | normal | {
"blob_id": "472a79767f5dc7dc3cd03d89999d322b3885dcbf",
"index": 1220,
"step-1": "<mask token>\n\n\nclass UserStatusAPIView(StatusAPIView):\n serializer_class = StatusInlineUserSerializer\n search_fields = 'id',\n\n def get_queryset(self, *args, **kwargs):\n username = self.kwargs.get('username')... | [
4,
6,
7,
8,
9
] |
<|reserved_special_token_0|>
class PongBall(Widget):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
def __init__(self, **kwargs):
super(PongBall, self).__init__(**kwargs)
self._bo... | flexible | {
"blob_id": "fa8431ae96cd6c1133d56285d0168f43d9068bc5",
"index": 2099,
"step-1": "<mask token>\n\n\nclass PongBall(Widget):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n def __init__(self, **kwargs):\n super(PongBall, self).__init__(**kwargs)\n sel... | [
8,
12,
13,
15,
16
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
class Solution:
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_1|>
class Solution:
<|reserved_special_token_0|>
def sumNumbers(self, root):
def dfs(root, sofar):
if root.left is None... | flexible | {
"blob_id": "e6ac742eb74d5d18e4c304a8ea1331e7e16e403d",
"index": 2317,
"step-1": "<mask token>\n",
"step-2": "class Solution:\n <mask token>\n <mask token>\n",
"step-3": "class Solution:\n <mask token>\n\n def sumNumbers(self, root):\n\n def dfs(root, sofar):\n if root.left is N... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
compiler.generate_proto(PROTO, '.')
compiler.generate_proto(PROTO, '.', with_plugin='python_rpcz', suffix=
'_rpcz.py')
<|reserved_special_token_1|>
<|reserved_special_token_0|>
PROTO = '../index_server.proto'
compiler.gener... | flexible | {
"blob_id": "e868998833774c829b05ae8da3280bed61363be1",
"index": 177,
"step-1": "<mask token>\n",
"step-2": "<mask token>\ncompiler.generate_proto(PROTO, '.')\ncompiler.generate_proto(PROTO, '.', with_plugin='python_rpcz', suffix=\n '_rpcz.py')\n",
"step-3": "<mask token>\nPROTO = '../index_server.proto'\... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
def welcome():
print('\nWelcome to the Bingo Game.')
def initialise_grid():
grid = [['', '', '', '', ''], ['', '', '', '', ''], ['', '', '', '', ''
], ['', '', '', '', ''], ['', '', '', '', '']]
return grid
def generate_b_column(grid):
b_nums = []
for x in ... | flexible | {
"blob_id": "7be62ce45f815c4f4cf32df696cc444f92ac6d5c",
"index": 8901,
"step-1": "<mask token>\n\n\ndef welcome():\n print('\\nWelcome to the Bingo Game.')\n\n\ndef initialise_grid():\n grid = [['', '', '', '', ''], ['', '', '', '', ''], ['', '', '', '', ''\n ], ['', '', '', '', ''], ['', '', '', ''... | [
14,
15,
16,
17,
18
] |
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