code stringlengths 13 6.09M | order_type stringclasses 2
values | original_example dict | step_ids listlengths 1 5 |
|---|---|---|---|
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
print(seq.split(','))
print(tuple(seq.split(',')))
<|reserved_special_token_1|>
seq = input('write a sequence of numbers: ')
print(seq.split(','))
print(tuple(seq.split(',')))
| flexible | {
"blob_id": "be867d600f5f267986368f5573006f63004dbf9e",
"index": 5094,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(seq.split(','))\nprint(tuple(seq.split(',')))\n",
"step-3": "seq = input('write a sequence of numbers: ')\nprint(seq.split(','))\nprint(tuple(seq.split(',')))\n",
"step-4": null... | [
0,
1,
2
] |
import sys
import numpy as np
import bpcs as bp
from PIL import Image
if len(sys.argv)<4:
print("USAGE: {0} <PATH> <COLOR> <BIT>".format(sys.argv[0]))
print(" PATH: image path")
print(" COLOR: GRAY=-1, RED=0, GREEN=1, BLUE=2")
print(" BIT : 0~7 (0:MSB, 7:LSB)")
exit(1)
PATH = sys... | normal | {
"blob_id": "95ea811d38c314f5f19294500e16bae3d00d4fff",
"index": 1328,
"step-1": "<mask token>\n\n\ndef merge_bitplane_to_image(bitplane, arr, color):\n arr = bp.to_image(arr)\n img = np.zeros(arr.shape)\n img[:, :, color] = bitplane\n return img\n\n\n<mask token>\n",
"step-2": "<mask token>\nif le... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
def add_cliente(parametros):
query = (
'INSERT INTO clientes VALUES(%s,%s,%s,%s,%s,%s,%s,%s,NULL,NULL,%s,NULL,%s)'
)
get_connection(query, parametros)
print('Datos almacenados')
get_clientes()
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<... | flexible | {
"blob_id": "035a87ccf21d45b2c147da4315c2143bea1ff21d",
"index": 8173,
"step-1": "<mask token>\n\n\ndef add_cliente(parametros):\n query = (\n 'INSERT INTO clientes VALUES(%s,%s,%s,%s,%s,%s,%s,%s,NULL,NULL,%s,NULL,%s)'\n )\n get_connection(query, parametros)\n print('Datos almacenados')\n ... | [
1,
5,
7,
9,
10
] |
# Ex 1
numbers = [10,20,30, 9,-12]
print("The sum of 'numbers' is:",sum(numbers))
# Ex 2
print("The largest of 'numbers' is:",max(numbers))
# Ex 3
print("The smallest of 'numbers' is:",min(numbers))
# Ex 4
for i in numbers:
if (i % 2 == 0):
print(i,"is even.")
# Ex 5
for i in numbers:
if (i > 0):
... | normal | {
"blob_id": "ce8879dae6c7585a727e35f588722bc28045256a",
"index": 8569,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(\"The sum of 'numbers' is:\", sum(numbers))\nprint(\"The largest of 'numbers' is:\", max(numbers))\nprint(\"The smallest of 'numbers' is:\", min(numbers))\nfor i in numbers:\n if... | [
0,
1,
2,
3
] |
import numpy as np
import sklearn.cluster as sc
import sklearn.metrics as sm
import matplotlib.pyplot as mp
x = np.loadtxt('C:\\Users\\Administrator\\Desktop\\sucai\\ml_data\\perf.txt', delimiter=',')
# 准备训练模型相关数据
epsilons, scores, models = np.linspace(0.3, 1.2, 10), [], []
# 遍历所有的半径，训练模型，查看得分
for epsilon in eps... | normal | {
"blob_id": "01128ebd156b24791548c50c92d2fc1969c42e70",
"index": 9756,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor epsilon in epsilons:\n model = sc.DBSCAN(eps=epsilon, min_samples=5)\n model.fit(x)\n score = sm.silhouette_score(x, model.labels_, sample_size=len(x),\n metric='eucli... | [
0,
1,
2,
3,
4
] |
from rest_framework import serializers
class BillBaseSerializer(serializers.Serializer):
vendor = serializers.CharField(required=False)
amount = serializers.FloatField()
bill_date = serializers.DateField()
due_date = serializers.DateField()
class BillListSerializer(BillBaseSerializer):
id = seri... | normal | {
"blob_id": "23160c2f030b0bd862360e944fbbc283c6cb45b2",
"index": 6625,
"step-1": "<mask token>\n\n\nclass BillListSerializer(BillBaseSerializer):\n id = serializers.SerializerMethodField()\n\n def get_id(self, object):\n return object.key.id()\n\n\nclass BillCreateSerializer(BillBaseSerializer):\n ... | [
9,
10,
11,
12
] |
import logging
import search_yelp
import uuid
from apiclient import errors
from google.appengine.api import taskqueue
def insert_worker(mirror_service, food_type=None):
logging.info('zip1 food_type %s' % food_type)
try:
location = mirror_service.locations().get(id='latest').execute()
latlong... | normal | {
"blob_id": "22c0b8c8d598bb91bb2333343aad285bbcb4ee5b",
"index": 2669,
"step-1": "import logging\nimport search_yelp\nimport uuid\nfrom apiclient import errors\nfrom google.appengine.api import taskqueue\n\n\n\ndef insert_worker(mirror_service, food_type=None):\n\n logging.info('zip1 food_type %s' % food_type... | [
0
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
if __name__ == '__main__':
parser = ArgumentParser()
parser.add_argument('--name', type=str, default='test')
parser.add_argument('--input_dim', type=int, default=2)
parser.add_argument('--output_dim', type=int, def... | flexible | {
"blob_id": "726aaa0ef129f950e6da6701bb20e893d2f7373b",
"index": 3823,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nif __name__ == '__main__':\n parser = ArgumentParser()\n parser.add_argument('--name', type=str, default='test')\n parser.add_argument('--input_dim', type=int, default=2)\n pa... | [
0,
1,
2,
3
] |
"""
Routes and views for the flask application.
"""
from datetime import datetime
from flask import render_template, redirect, url_for, request, jsonify
from athena_App import app
from athena_App.formClass import QuestionForm
import time
#attention:
#this module include large word vector which need a lot of time to ... | normal | {
"blob_id": "3457a7c080da041ad279239bd6a3d214a3b8e49f",
"index": 6695,
"step-1": "<mask token>\n\n\n@app.route('/QAsearch', methods=['POST', 'GET'])\ndef QAsearch():\n \"\"\"Renders the QAsearch page.\"\"\"\n question = ''\n form = QuestionForm()\n question = form.question.data\n if form.validate_... | [
9,
10,
11,
12,
13
] |
from typing import List, cast
import numpy as np
from ..dataset import Transition
from .base import TransitionIterator
class RandomIterator(TransitionIterator):
_n_steps_per_epoch: int
def __init__(
self,
transitions: List[Transition],
n_steps_per_epoch: int,
batch_size: in... | normal | {
"blob_id": "3b9193fcd69b0387222feab96c50bf3617606cdd",
"index": 7329,
"step-1": "<mask token>\n\n\nclass RandomIterator(TransitionIterator):\n _n_steps_per_epoch: int\n <mask token>\n\n def _reset(self) ->None:\n pass\n <mask token>\n\n def _has_finished(self) ->bool:\n return self.... | [
4,
5,
6,
7,
8
] |
<|reserved_special_token_0|>
def Theorem4_9(n, b, R):
if R >= n:
raise ValueError('r* >= n')
if b < 0 or b >= n:
raise ValueError('b < 0 or b >= n')
r, rr = n, b
s, ss = 1, 0
t, tt = 0, 1
if r < R:
return r, s, t
if rr < R:
return rr, ss, tt
while rr != ... | flexible | {
"blob_id": "2b3a7d0c28d1bf7d4400b0e5558b0527a96af781",
"index": 7658,
"step-1": "<mask token>\n\n\ndef Theorem4_9(n, b, R):\n if R >= n:\n raise ValueError('r* >= n')\n if b < 0 or b >= n:\n raise ValueError('b < 0 or b >= n')\n r, rr = n, b\n s, ss = 1, 0\n t, tt = 0, 1\n if r <... | [
3,
5,
6,
7,
8
] |
# %%
import numpy as np
import pandas as pd
import tensorflow as tf
import matplotlib.pyplot as plt
import seaborn as sns
from sklearn.manifold import TSNE
from sklearn.decomposition import PCA, TruncatedSVD
import matplotlib.patches as mpatches
import time
from sklearn.linear_model import LogisticRegression
from skle... | normal | {
"blob_id": "3923aed29006b4290437f2b0e11667c702da3241",
"index": 4605,
"step-1": "<mask token>\n\n\ndef plotTensorflowConfmat(confmat, classes):\n plt.imshow(confmat, interpolation='nearest', cmap=plt.cm.Blues)\n plt.title('Confusion Matrix')\n plt.colorbar()\n tick_marks = np.arange(len(classes))\n ... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
class SslExporter(object):
gauges = {}
def __init__(self, cert_paths):
self.cert_paths = cert_paths
def collect(self):
self.gauges['ssl_valid_days'] = GaugeMetricFamily('ssl_valid_days',
'Ssl cert valid days', value=None, labels=['domain',
... | flexible | {
"blob_id": "83be35b79dcaa34f9273281976ebb71e81c58cdd",
"index": 8673,
"step-1": "<mask token>\n\n\nclass SslExporter(object):\n gauges = {}\n\n def __init__(self, cert_paths):\n self.cert_paths = cert_paths\n\n def collect(self):\n self.gauges['ssl_valid_days'] = GaugeMetricFamily('ssl_va... | [
6,
7,
8,
9,
10
] |
<|reserved_special_token_0|>
def get_response_carnes():
sparql.setQuery(
"""
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX saidi: <http://www.semanticweb.org/japor/ontologies/2021/5/PizzasLojanitas#>
SELECT DISTINCT ?name
WHERE {
?s rdfs:subClass... | flexible | {
"blob_id": "9690366a88a87951f5c51902118888cce8159ffc",
"index": 7219,
"step-1": "<mask token>\n\n\ndef get_response_carnes():\n sparql.setQuery(\n \"\"\"\n PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>\n PREFIX saidi: <http://www.semanticweb.org/japor/ontologies/2021/5/PizzasLojan... | [
6,
7,
8,
10,
12
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
print("""
1. Lists of Numbers""")
print('\t' + str([1, 2, 3]))
print("""
2. Lists of Strings""")
print('\t' + str(['Lemon', 'Mango', 'Papaya']))
<|reserved_special_token_0|>
print('\tMy favorite fruit is ' + list_fruits[1])
print("""
3. List operations""")
<|... | flexible | {
"blob_id": "4d35bb83378805daf4392a1752386ab1403404e0",
"index": 1530,
"step-1": "<mask token>\n",
"step-2": "print(\"\"\"\n1. Lists of Numbers\"\"\")\nprint('\\t' + str([1, 2, 3]))\nprint(\"\"\"\n2. Lists of Strings\"\"\")\nprint('\\t' + str(['Lemon', 'Mango', 'Papaya']))\n<mask token>\nprint('\\tMy favorite ... | [
0,
1,
2,
3
] |
import requests
from bs4 import BeautifulSoup
import time
print("Put some unfamiliar skills")
unfamilar_skills = input(">")
print(f"Filtering result for {unfamilar_skills}...\n")
def find_jobs():
html_text = requests.get('https://www.timesjobs.com/candidate/job-search.html?searchType=personalizedSearch&from=submit... | normal | {
"blob_id": "92b71c67130cd37b2143fbd9ad71fe9a18b3f7e8",
"index": 2622,
"step-1": "<mask token>\n\n\ndef find_jobs():\n html_text = requests.get(\n 'https://www.timesjobs.com/candidate/job-search.html?searchType=personalizedSearch&from=submit&txtKeywords=python&txtLocation='\n ).text\n soup = ... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
if len(sys.argv) != 2:
print('usage: part2.py puzzle_input')
exit(1)
<|reserved_special_token_0|>
for i in range(sys.maxsize):
digest = hashlib.md5(puzzle_input.encode('utf-8') + str(i).encode('utf-8')
).hexdig... | flexible | {
"blob_id": "1219f7b7ac335f3a69e289d1ab2b6318a2aef23f",
"index": 1900,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nif len(sys.argv) != 2:\n print('usage: part2.py puzzle_input')\n exit(1)\n<mask token>\nfor i in range(sys.maxsize):\n digest = hashlib.md5(puzzle_input.encode('utf-8') + str(i).... | [
0,
1,
2,
3,
4
] |
# Standard Library imports:
import argparse
import os
from pathlib import Path
from typing import Dict, List
# 3rd Party imports:
import keras.backend as K
from keras.layers import *
from keras.models import Model
import tensorflow as tf
from tensorflow.python.framework import graph_io, graph_util
from tensorflow.pyth... | normal | {
"blob_id": "a5f3af6fc890f61eecb35bd157fc51bb65b4c586",
"index": 3958,
"step-1": "<mask token>\n\n\ndef squeezenet_fire_module(input, input_channel_small=16,\n input_channel_large=64):\n channel_axis = 3\n input = Conv2D(input_channel_small, (1, 1), padding='valid')(input)\n input = Activation('relu'... | [
2,
4,
5,
6,
8
] |
from math import *
from numpy import *
from random import *
import numpy as np
import matplotlib.pyplot as plt
from colorama import Fore, Back, Style
from gridworld import q_to_arrow
N_ROWS = 6
N_COLUMNS = 10
class State(object):
def __init__(self, i, j, is_cliff=False, is_goal=False):
self.i = i
... | normal | {
"blob_id": "cb2e800cc2802031847b170a462778e5c0b3c6f9",
"index": 40,
"step-1": "<mask token>\n\n\nclass State(object):\n\n def __init__(self, i, j, is_cliff=False, is_goal=False):\n self.i = i\n self.j = j\n self.is_cliff = is_cliff\n self.is_goal = is_goal\n self.q_values =... | [
14,
16,
20,
21,
22
] |
<|reserved_special_token_0|>
class Plugin(LoggerPlugin):
<|reserved_special_token_0|>
def __init__(self, *args, **kwargs):
super(Plugin, self).__init__(*args, **kwargs)
self.setDeviceName(devicename)
self.smallGUI = True
self._last_value = 0
self._jump_allowed = True
... | flexible | {
"blob_id": "c3efaeab600ec9a7a9fffdfad5c9dc1faad8fee7",
"index": 726,
"step-1": "<mask token>\n\n\nclass Plugin(LoggerPlugin):\n <mask token>\n\n def __init__(self, *args, **kwargs):\n super(Plugin, self).__init__(*args, **kwargs)\n self.setDeviceName(devicename)\n self.smallGUI = True... | [
5,
8,
10,
11,
12
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
urlpatterns = [path('', views.PostList.as_view(), name='blog_index'), path(
'<slug:slug>/', views.post_detail, name='post_detail'), path(
'tag/<slug:slug>/', views.TagIndexView.as_view(), name='tag')]
<|reserved_special_... | flexible | {
"blob_id": "09ea684cfb6f0a521d3bdadf977d9385636bdc83",
"index": 7150,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nurlpatterns = [path('', views.PostList.as_view(), name='blog_index'), path(\n '<slug:slug>/', views.post_detail, name='post_detail'), path(\n 'tag/<slug:slug>/', views.TagIndexView.... | [
0,
1,
2
] |
<|reserved_special_token_0|>
class ChildAdmin(admin.ModelAdmin):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class ChildAdmin(admin.ModelAdmin):
def queryset(self, request):
"""
Filter the Child objects to only
... | flexible | {
"blob_id": "582f2e6972bad85c2aaedd248f050f708c61973b",
"index": 2332,
"step-1": "<mask token>\n\n\nclass ChildAdmin(admin.ModelAdmin):\n <mask token>\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\nclass ChildAdmin(admin.ModelAdmin):\n\n def queryset(self, request):\n \"\"\"\n Filter th... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
def shape_list(x):
ps = x.get_shape().as_list()
ts = tf.shape(x)
return [(ts[i] if ps[i] is None else ps[i]) for i in range(len(ps))]
def bi_dir_lstm(X, c_fw, h_fw, c_bw, h_bw, units, scope='bi_dir_lstm'):
with tf.variable_scope(scope) as sc:
hs_fw = []
f... | flexible | {
"blob_id": "e550a2d46e46f0e07d960e7a214fbaa776bab0d5",
"index": 4697,
"step-1": "<mask token>\n\n\ndef shape_list(x):\n ps = x.get_shape().as_list()\n ts = tf.shape(x)\n return [(ts[i] if ps[i] is None else ps[i]) for i in range(len(ps))]\n\n\ndef bi_dir_lstm(X, c_fw, h_fw, c_bw, h_bw, units, scope='bi... | [
6,
7,
8,
9,
12
] |
"""Module just for fun game"""
# -*- coding: utf-8 -*-
from __future__ import print_function
from itertools import chain
import tabulate
import numpy
class Game(object):
"""Класс игры"""
def __init__(self):
self.field = numpy.array([(-10, -10, -10), (-10, -10, -10), (-10, -10, -10)])
self.rende... | normal | {
"blob_id": "23ba9e498dd153be408e973253d5f2a858d4771b",
"index": 6922,
"step-1": "<mask token>\n\n\nclass Game(object):\n <mask token>\n <mask token>\n\n def render_field(self):\n \"\"\"Метод отрисовки поля\"\"\"\n print(tabulate.tabulate(self.rendered_field, tablefmt='grid'))\n\n def c... | [
5,
6,
9,
11,
12
] |
<|reserved_special_token_0|>
@router.get('/', response_model=List[ImageReturn])
def get_all_images(db: Session=Depends(ApiSession)):
return image_service.get_all_images(db)
@router.get('/{image_id}', response_model=ImageReturn)
def get_image_by_id(image_id: int, db: Session=Depends(ApiSession)):
return imag... | flexible | {
"blob_id": "874ca60749dba9ca8c8ebee2eecb1b80da50f11f",
"index": 3782,
"step-1": "<mask token>\n\n\n@router.get('/', response_model=List[ImageReturn])\ndef get_all_images(db: Session=Depends(ApiSession)):\n return image_service.get_all_images(db)\n\n\n@router.get('/{image_id}', response_model=ImageReturn)\nde... | [
4,
5,
6,
7,
8
] |
class ConfigError(ValueError):
pass
| normal | {
"blob_id": "76dd4d2b5f68683c77f9502a2298e65c97db7c8d",
"index": 1263,
"step-1": "<mask token>\n",
"step-2": "class ConfigError(ValueError):\n pass\n",
"step-3": null,
"step-4": null,
"step-5": null,
"step-ids": [
0,
1
]
} | [
0,
1
] |
import logging
from abc import ABC
from thraxisgamespatterns.application.handler_map_factory import TGHandlerMapFactory
from thraxisgamespatterns.eventhandling.event_distributor import TGEventDistributor
from thraxisgamespatterns.factories.logging_rule_engine_factory import TGLoggingRuleEngineFactory
class TGAbstract... | normal | {
"blob_id": "d499b4e189a0c3c6efa6a07871dbc6c2996a2dcb",
"index": 2245,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass TGAbstractRegistry(ABC):\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass TGAbstractRegistry(ABC):\n\n def __init__(self):\n self.rule_engine = TGLoggingRule... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
class TestRectangle(unittest.TestCase):
<|reserved_special_token_0|>
def setUp(self):
""" setUp """
Base._Base__nb_objects = 0
def tearDown(self):
""" tearDown destroys any existing objects and processes """
pass
def test_type(self):
... | flexible | {
"blob_id": "ca00091b7ebcb9ee45b77c919c458c75e3db5b1e",
"index": 4783,
"step-1": "<mask token>\n\n\nclass TestRectangle(unittest.TestCase):\n <mask token>\n\n def setUp(self):\n \"\"\" setUp \"\"\"\n Base._Base__nb_objects = 0\n\n def tearDown(self):\n \"\"\" tearDown destroys any e... | [
23,
25,
26,
28,
31
] |
print('\n----------------概率与统计--------------------')
import numpy as np
import scipy
import sympy as sym
import matplotlib.pyplot as plt
import sklearn.datasets as sd
iris = sd.load_iris()
x1 = np.random.random([10000]) # 均匀分布
x2 = np.random.normal(2, 1, [10000]) # 正态分布
x3 = np.random.normal(5, 1, [10000]) # 正态分布
#... | normal | {
"blob_id": "1ab5c6a56ac229c5a9892a9848c62a9a19a0dda7",
"index": 3360,
"step-1": "<mask token>\n\n\ndef conv(dt1, dt2):\n return np.mean((dt1 - np.mean(dt1)) * (dt2 - np.mean(dt2)))\n\n\n<mask token>\n\n\ndef rho(p1, p2):\n return conv(p1, p2) / np.std(p1) / np.std(p2)\n\n\n<mask token>\n",
"step-2": "pr... | [
2,
4,
5,
6,
7
] |
#!/usr/bin/env python
# Copyright 2017 Google Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless require... | normal | {
"blob_id": "fb9ae5b3cdeac0c254669e214779ad43a02bff6d",
"index": 4596,
"step-1": "<mask token>\n\n\ndef read_dataset(mode, args):\n\n def decode_example(protos, vocab_size):\n features = {'key': tf.FixedLenFeature(shape=[1], dtype=tf.int64),\n 'indices': tf.VarLenFeature(dtype=tf.int64), 'va... | [
3,
4,
5,
6,
7
] |
# Ques1:
# To create a program that asks the user to enter their name and their age
# and prints out a message addressed to them that tells them the year that
# they will turn 100 years old. Additionally, the program asks the user for
# another number and prints out that many copies of the previous message on
... | normal | {
"blob_id": "948b793359555f98872e0bdbf6db970ed1ff3b83",
"index": 7046,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(msg * copies)\n",
"step-3": "<mask token>\nname = input('Enter your name : ')\nage = int(input('Enter your age : '))\nyear = int(100 - age + datetime.now().year)\ncopies = int(inp... | [
0,
1,
2,
3,
4
] |
# coding=UTF-8
'''
Created on Jul 21, 2013
@author: jin
'''
from django import template
register = template.Library()
@register.filter
def get_list_number(value,num):
result=value[num]
return result
# register.filter('get_list_num', get_list_num)
'''
test
'''
if __name__=='__main__':
print get_list_numb... | normal | {
"blob_id": "679d4b224733dbe264caeeda4e228edd090ea9de",
"index": 7797,
"step-1": "# coding=UTF-8\n'''\nCreated on Jul 21, 2013\n\n@author: jin\n'''\nfrom django import template\nregister = template.Library()\n@register.filter\ndef get_list_number(value,num):\n result=value[num]\n return result\n# register.... | [
0
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def run():
parser = testg.OptionParser(description=
'Autonomous grasp and manipulation planning example.')
parser.add_option('--scene', action='store', type='string', dest=
'scene', default='/home/user/ex... | flexible | {
"blob_id": "62857a015087500fec534ba1297d42a33ae61927",
"index": 7153,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef run():\n parser = testg.OptionParser(description=\n 'Autonomous grasp and manipulation planning example.')\n parser.add_option('--scene', action='store', type='string... | [
0,
1,
2,
3,
4
] |
#Question:
"""
The parcel section of the Head Post Office is in a mess. The parcels that need to be loaded to the vans have been lined up in a row in an arbitrary order of weights. The Head Post Master wants them to be sorted in the increasing order of the weights of the parcels, with one exception. He wants the heavi... | normal | {
"blob_id": "92dea316889192824c353002670cdcf03dfbcd4c",
"index": 1457,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(effort)\n",
"step-3": "<mask token>\nsize, k = map(int, input().split())\nparcel = list(map(int, input().split()))\neffort = 2 * parcel[k - 1] * min(parcel) + max(parcel) * min(pa... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
urc.run(beam_neutrons_path, instrument, samplexmlpath, psi, hkl2Q, pixel,
t_m2p, Q, E, hkl_projection, Nbuffer=100000)
<|reserved_special_token_1|>
<|reserved_special_token_0|>
beam_neutrons_path = (
'/SNS/users/p63/ORN... | flexible | {
"blob_id": "47c5fb03cb427d5c9f7703e1715e026b6f2c7a35",
"index": 4660,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nurc.run(beam_neutrons_path, instrument, samplexmlpath, psi, hkl2Q, pixel,\n t_m2p, Q, E, hkl_projection, Nbuffer=100000)\n",
"step-3": "<mask token>\nbeam_neutrons_path = (\n '/SN... | [
0,
1,
2,
3,
4
] |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
from alipay.aop.api.constant.ParamConstants import *
from alipay.aop.api.domain.InsureAdmitDTO import InsureAdmitDTO
class AlipayInsSceneEcommerceInsureCheckModel(object):
def __init__(self):
self._insure_admit_dto_list = None
self._partn... | normal | {
"blob_id": "e616d14827beaa08ab08219421cbf7990cf163fd",
"index": 242,
"step-1": "<mask token>\n\n\nclass AlipayInsSceneEcommerceInsureCheckModel(object):\n\n def __init__(self):\n self._insure_admit_dto_list = None\n self._partner_org_id = None\n self._product_code = None\n self._s... | [
8,
10,
11,
12,
16
] |
from django.conf.urls import patterns, include, url
from django.contrib.auth.decorators import login_required
from django.views.generic import TemplateView
from analyze import views
#from lecture import views
urlpatterns = patterns('',
url(r'^$', 'analyze.views.analyze', name='analyze'),
)
| normal | {
"blob_id": "035de226c2d2ee85cb7e319de35fb09b21bc523d",
"index": 9061,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nurlpatterns = patterns('', url('^$', 'analyze.views.analyze', name='analyze'))\n",
"step-3": "from django.conf.urls import patterns, include, url\nfrom django.contrib.auth.decorators im... | [
0,
1,
2,
3
] |
#!/usr/bin/env python
from cos_correct_v2 import *
from angle_to_position import *
import pandas as pd
import datetime as dt
def get_position_from_angle(razon, data, start, end):
# Obtain cos factors and corrected data
dni_df, altitude_angles, azimuth_angles = data
cos_correct_df = razon.get_cos_factors(... | normal | {
"blob_id": "13a4fb5ce9ab0a3ef9ce503698615eae4157a637",
"index": 7962,
"step-1": "<mask token>\n\n\ndef get_position_from_angle(razon, data, start, end):\n dni_df, altitude_angles, azimuth_angles = data\n cos_correct_df = razon.get_cos_factors(altitude_angles, azimuth_angles)\n dni_df = razon.cos_correc... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
class Solution:
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_1|>
class Solution:
def longestCommonPrefix(self, strs: [str]) ->str:
if not strs:
return ''
strs.sort(key=len)
... | flexible | {
"blob_id": "80be5f49a179eebc4915bf734a8e362cc2f2ef7c",
"index": 3213,
"step-1": "<mask token>\n",
"step-2": "class Solution:\n <mask token>\n\n\n<mask token>\n",
"step-3": "class Solution:\n\n def longestCommonPrefix(self, strs: [str]) ->str:\n if not strs:\n return ''\n strs.... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
ba1466.pngMap = [
'11111111111111111111111111111100000000011111111111111111111111111000000000000000011111111111111111111111111111111111111111111111'
,
'11111111111111111111111111111110000000011111111111111111111111111000000000000000011111111111111... | flexible | {
"blob_id": "dbefca59376e567a6116dec4e07c44b1fe301ca9",
"index": 9911,
"step-1": "<mask token>\n",
"step-2": "ba1466.pngMap = [\n '11111111111111111111111111111100000000011111111111111111111111111000000000000000011111111111111111111111111111111111111111111111'\n ,\n '1111111111111111111111111111111000... | [
0,
1,
2
] |
"""
TODO: update description after everything (requirements) is (are) stable/concrete
Description: Script to extract KeepingTrac's creative names and send
team notification to start manual mapping as necessary.
This step must happen BEFORE the processing of deduping of RenTrak
creative names (step 2 in RenTrak p... | normal | {
"blob_id": "71c6d5e385e3db8444d7ef8b0231e72db8538eb7",
"index": 8106,
"step-1": "<mask token>\n\n\ndef notify_no_new_mapping_found():\n email_str = \"\"\"\n <p>Python script does not find any new creative names from keepingtrac data.\n Stage 2 of processing RenTrak data will begin when we load ... | [
4,
6,
7,
8,
10
] |
<|reserved_special_token_0|>
class CloudSat(HDF4):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
def __init__(self, **kwargs):
super().__init__(**kwargs)
@expects_file_info()
def get_info(self, file_info, **kwargs):
"""Return a :class:... | flexible | {
"blob_id": "4328d526da14db756fad8d05457724a23e3e3ef6",
"index": 3939,
"step-1": "<mask token>\n\n\nclass CloudSat(HDF4):\n <mask token>\n <mask token>\n <mask token>\n\n def __init__(self, **kwargs):\n super().__init__(**kwargs)\n\n @expects_file_info()\n def get_info(self, file_info, *... | [
4,
7,
8,
9,
11
] |
<|reserved_special_token_0|>
class RaumbelegungSerializer(serializers.ModelSerializer):
class Meta:
model = models.Raumbelegung
fields = ['Belegt', 'Belegungsgrund']
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class ZeitraumSerializer(serializers.ModelSerializer):
class ... | flexible | {
"blob_id": "451c353a949458f5f71783c4aba1888c40018bfa",
"index": 9400,
"step-1": "<mask token>\n\n\nclass RaumbelegungSerializer(serializers.ModelSerializer):\n\n\n class Meta:\n model = models.Raumbelegung\n fields = ['Belegt', 'Belegungsgrund']\n",
"step-2": "<mask token>\n\n\nclass Zeitraum... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
class ProductSchema(ma.Schema):
class Meta:
fields = 'id', 'name', 'description', 'price', 'qty'
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class Product(db.Model):
id = db.Column(db.Integer, primary_key=True)
name =... | flexible | {
"blob_id": "ccb131171472d0a92d571e94453be97b323b4484",
"index": 7081,
"step-1": "<mask token>\n\n\nclass ProductSchema(ma.Schema):\n\n\n class Meta:\n fields = 'id', 'name', 'description', 'price', 'qty'\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\nclass Product(db.Model):\n id = db.Column(... | [
1,
3,
4,
5,
7
] |
# noinspection PyStatementEffect
{
'name': 'ldap_user',
'summary': '',
'description': '域账号用户管理，登录及查询用户信息',
'author': '',
'website': '',
'source': {'git': 'https://github.com/LeiQiao/Parasite-Plugins.git', 'branch': 'master'},
'category': '',
'version': '0.1',
'api': {
'/use... | normal | {
"blob_id": "b95619f3f52ff3747e38ecc153123962d0122a4d",
"index": 387,
"step-1": "<mask token>\n",
"step-2": "{'name': 'ldap_user', 'summary': '', 'description': '域账号用户管理，登录及查询用户信息',\n 'author': '', 'website': '', 'source': {'git':\n 'https://github.com/LeiQiao/Parasite-Plugins.git', 'branch': 'master'},\... | [
0,
1,
2
] |
<|reserved_special_token_0|>
class rocker_connection:
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class rocker_connection:
@api.multi
def create_connection(self):
_database_record = self
_datasource = _database_record.name
_driver = ... | flexible | {
"blob_id": "96131e3d6c67c0ee4ff7f69d4ffedcbf96470f14",
"index": 7069,
"step-1": "<mask token>\n\n\nclass rocker_connection:\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass rocker_connection:\n\n @api.multi\n def create_connection(self):\n _database_record = self\n _datasource = _d... | [
1,
2,
3,
4,
5
] |
# Jarvis interface class definition
import kernel.service
class interface(kernel.service.service):
def __init__(self, name):
self.name = name
| normal | {
"blob_id": "237f1f72ac3ef381f115a88025518f387825ff79",
"index": 9696,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass interface(kernel.service.service):\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass interface(kernel.service.service):\n\n def __init__(self, name):\n self.n... | [
0,
1,
2,
3,
4
] |
class User:
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
class Admin(User):
def __init__(self, username, password, phone, email):
super().__init__(username, password)
self.phone = phone
self.email = email... | flexible | {
"blob_id": "fb26337be29ce06674ca2cb2a82eaff7624aa17f",
"index": 9259,
"step-1": "class User:\n <mask token>\n <mask token>\n <mask token>\n\n\n<mask token>\n\n\nclass Admin(User):\n\n def __init__(self, username, password, phone, email):\n super().__init__(username, password)\n self.ph... | [
5,
8,
9,
10
] |
from django.contrib import admin
from django.contrib.auth.admin import UserAdmin
from django.utils.translation import ugettext_lazy as _
from django import forms
from programs.models import *
from programs.forms import CustomUserCreationForm, CustomUserChangeForm
import pdb
class ProgramAdmin(admin.ModelAdmin):
list... | normal | {
"blob_id": "77e4bbe625251254cdadaeeb23dddf51e729e747",
"index": 832,
"step-1": "<mask token>\n\n\nclass DepartmentAdmin(admin.ModelAdmin):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n def save_model(self, request, obj, form, change):\n if obj.code == '':\n obj... | [
17,
23,
24,
27,
29
] |
<|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": "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
] |
# -*- mode: python; coding: utf-8 -*-
# Copyright 2019-2021 the AAS WorldWide Telescope project
# Licensed under the MIT License.
from __future__ import absolute_import, division, print_function
import numpy as np
import numpy.testing as nt
import os.path
import pytest
import sys
from xml.etree import ElementTree as ... | normal | {
"blob_id": "618b6c74133e181ce5cbaf4e969d9fc3aa44ce98",
"index": 1261,
"step-1": "<mask token>\n\n\nclass TestMultiTan(object):\n <mask token>\n if sys.platform == 'darwin':\n WTML = WTML.replace('Dec=\"0.7438249862258411\"',\n 'Dec=\"0.743824986225841\"')\n <mask token>\n\n def tea... | [
5,
6,
9,
10,
13
] |
from functools import wraps
import maya.cmds as mc
import maya.mel as mel
import pymel.core as pm
from PySide2 import QtCore, QtGui, QtWidgets
import adb_core.Class__multi_skin as ms
import adbrower
from CollDict import pysideColorDic as pyQtDic
from maya.app.general.mayaMixin import MayaQWidgetDockableMixin
import a... | normal | {
"blob_id": "819607d89035413fc2800e9f16222619a74a5d64",
"index": 6429,
"step-1": "<mask token>\n\n\nclass MultiSkin_UI(MayaQWidgetDockableMixin, QtWidgets.QDialog):\n <mask token>\n <mask token>\n <mask token>\n\n def widgetsAndLayouts(self):\n\n def addLine():\n line = QtWidgets.QF... | [
17,
18,
23,
24,
28
] |
# -*- coding: utf-8 -*- #
import time
from openerp.osv import osv, fields
import logging
import openerp.addons.decimal_precision as dp
logger = logging.getLogger(__name__)
class ebiz_supplier_account_create(osv.osv_memory):
_name = 'ebiz.supplier.account.create.wizard'
_description = "Ebiz Supplier Account"
... | normal | {
"blob_id": "309f8016dfebcc3595291b127edb4634f72298ec",
"index": 4387,
"step-1": "<mask token>\n\n\nclass ebiz_supplier_account_create(osv.osv_memory):\n <mask token>\n <mask token>\n\n def create_supplier_action(self, cr, uid, ids, context=None):\n active_ids = context.get('active_ids', False)\n... | [
2,
4,
5,
6,
7
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
mathfont.save(f)
<|reserved_special_token_0|>
mathfont.save(f)
<|reserved_special_token_0|>
mathfont.save(f)
<|reserved_special_token_0|>
mathfont.save(f)
<|reserved_special_token_0|>
mathfont.save(f)
<|reserved_special_token_0|>
... | flexible | {
"blob_id": "06638b361c1cbe92660d242969590dfa45b63a4d",
"index": 75,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nmathfont.save(f)\n<mask token>\nmathfont.save(f)\n<mask token>\nmathfont.save(f)\n<mask token>\nmathfont.save(f)\n<mask token>\nmathfont.save(f)\n<mask token>\nmathfont.save(f)\n",
"step-... | [
0,
1,
2,
3,
4
] |
# Uses python3
from decimal import Decimal
def gcd_naive(a, b):
x = 5
while x > 1:
if a % b != 0:
c = a % b
a = b
b = c
else:
x = 1
return b
there = input()
store = there.split()
a = int(max(store))
b = int(min(store))
factor = gcd_naive(a,b)
... | normal | {
"blob_id": "c70681f5ff8d49a243b7d26164aa5430739354f4",
"index": 6936,
"step-1": "<mask token>\n\n\ndef gcd_naive(a, b):\n x = 5\n while x > 1:\n if a % b != 0:\n c = a % b\n a = b\n b = c\n else:\n x = 1\n return b\n\n\n<mask token>\n",
"step-... | [
1,
2,
3,
4,
5
] |
<|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": "6aa762165dba891a3638d13862019dd342a7e05a",
"index": 7644,
"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 = [('users', '00... | [
0,
1,
2,
3,
4
] |
import datetime
def year_choices():
return [(r, r) for r in range(1984, datetime.date.today().year + 1)]
def current_year():
return datetime.date.today().year
| normal | {
"blob_id": "90bb70b0a97c7872c8581a176ebacc50df8e1f72",
"index": 464,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef year_choices():\n return [(r, r) for r in range(1984, datetime.date.today().year + 1)]\n\n\n<mask token>\n",
"step-3": "<mask token>\n\n\ndef year_choices():\n return [(r, ... | [
0,
1,
2,
3
] |
from sklearn import cluster
from sklearn.metrics import adjusted_rand_score
import matplotlib.pyplot as plt
def test_Kmeans(*data):
x,labels_true = data
clst = cluster.KMeans()
clst.fit(x)
predicted_labels = clst.predict(x)
print("ARI: %s" % adjusted_rand_score(labels_true, predicted_labels))
p... | normal | {
"blob_id": "bd419d0a197a5e5a99a370e45cdb53a276ac5507",
"index": 5633,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef test_Kmeans(*data):\n x, labels_true = data\n clst = cluster.KMeans()\n clst.fit(x)\n predicted_labels = clst.predict(x)\n print('ARI: %s' % adjusted_rand_score(lab... | [
0,
2,
3,
4,
5
] |
#-*- coding: utf-8 -*-
def print99():
"""
打印99乘法口诀表
:return:
"""
for i in range(1,10):
for j in range(1, i+1):
print('%dX%d=%2s ' %(j,i,i*j))
print('\n')
print99()
| normal | {
"blob_id": "90f1fd45d58c7e6f275a33cd9c693ff584b2df47",
"index": 1396,
"step-1": "<mask token>\n",
"step-2": "def print99():\n \"\"\"\n 打印99乘法口诀表\n :return:\n \"\"\"\n for i in range(1, 10):\n for j in range(1, i + 1):\n print('%dX%d=%2s ' % (j, i, i * j))\n print('\\n'... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
setup(ext_modules=cythonize('utils.pyx'))
<|reserved_special_token_1|>
from setuptools import setup
from Cython.Build import cythonize
setup(ext_modules=cythonize('utils.pyx'))
<|reserved_special_token_1|>
from setuptools im... | flexible | {
"blob_id": "66c71111eae27f6e9fee84eef05cc1f44cc5a477",
"index": 3745,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nsetup(ext_modules=cythonize('utils.pyx'))\n",
"step-3": "from setuptools import setup\nfrom Cython.Build import cythonize\nsetup(ext_modules=cythonize('utils.pyx'))\n",
"step-4": "fro... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class ViewService(JsonRpcService):
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class ViewService(JsonRpcService):
def json_create(self):
return 'Hello, World!'
<... | flexible | {
"blob_id": "1b091d139635e90fb53b3fecc09bb879514c7b38",
"index": 7352,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass ViewService(JsonRpcService):\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass ViewService(JsonRpcService):\n\n def json_create(self):\n return 'Hello, World!... | [
0,
1,
2,
3,
4
] |
from django.contrib import admin
from .models import Cliente, Pack
# Register your models here.
admin.site.register(Pack)
admin.site.register(Cliente)
| normal | {
"blob_id": "2af590ad11704ecf21489a5d546e61f40dcceee6",
"index": 2121,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nadmin.site.register(Pack)\nadmin.site.register(Cliente)\n",
"step-3": "from django.contrib import admin\nfrom .models import Cliente, Pack\nadmin.site.register(Pack)\nadmin.site.registe... | [
0,
1,
2,
3
] |
from tw.core import *
| normal | {
"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, re, bcrypt, jwt
from datetime import datetime, timedelta
from django.core.exceptions import ObjectDoesNotExist
from django.db.models import Avg
from django.http import JsonResponse
from django.views import View
from room.models import Room, Category, Ro... | normal | {
"blob_id": "cc5b22a0246fcc9feaed6a0663095a6003e6cef1",
"index": 6685,
"step-1": "<mask token>\n\n\nclass RoomView(View):\n\n def get(self, request, room_id):\n try:\n room = Room.objects.get(id=room_id)\n rating_list = [field.name for field in Review._meta.get_fields(\n ... | [
6,
7,
8,
9,
10
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
def findOrder(numCourses, prerequisites):
if len(prerequisites) == 0:
order = []
for i in range(0, numCourses):
order.append(i)
return order
edges = {}
for prerequisite in prerequisites:
if prerequisite[... | flexible | {
"blob_id": "56892e125934d5de937b92a08bd7707c12c70928",
"index": 689,
"step-1": "<mask token>\n",
"step-2": "def findOrder(numCourses, prerequisites):\n if len(prerequisites) == 0:\n order = []\n for i in range(0, numCourses):\n order.append(i)\n return order\n edges = {}\... | [
0,
1,
2,
3
] |
from asteroidhunter import __version__
import unittest, requests, json, os, pytest
from dotenv import load_dotenv
load_dotenv()
from asteroidhunter.asteroid_closest_approach import asteroid_closest_approach
def test_version():
assert __version__ == '0.1.0'
@pytest.mark.vcr()
def test_asteroid_closest_approach()... | normal | {
"blob_id": "7dd4dc60b23c72ba450025bececb0e6d89df69c3",
"index": 8263,
"step-1": "<mask token>\n\n\ndef test_version():\n assert __version__ == '0.1.0'\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\ndef test_version():\n assert __version__ == '0.1.0'\n\n\n@pytest.mark.vcr()\ndef test_asteroid_closest... | [
1,
2,
3,
4
] |
from ..models import Empleado, Puesto, Tareas
from django.contrib.auth import login, logout
from django.contrib.auth.models import User, Group
from rest_framework.permissions import AllowAny
from rest_framework.response import Response
from rest_framework.views import APIView
from .serializers import EmpleadoSeri... | normal | {
"blob_id": "cce85d8a34fd20c699b7a87d402b34231b0d5dbb",
"index": 3186,
"step-1": "<mask token>\n\n\nclass UserViewSet(viewsets.ModelViewSet):\n queryset = User.objects.all()\n model = User\n serializer_class = UserSerializer\n\n def get_permissions(self):\n return (AllowAny() if self.request.m... | [
9,
11,
14,
16,
18
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
with open(os_join(here, 'README.md')) as f:
README = f.read()
setup(name='pyzohar', version='0.1.11', author='zoharslong', author_email=
'zoharslong@hotmail.com', description=
'a private package on data pre-processing.... | flexible | {
"blob_id": "e0f7837731520ad76ca91d78c20327d1d9bb6d4f",
"index": 9970,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nwith open(os_join(here, 'README.md')) as f:\n README = f.read()\nsetup(name='pyzohar', version='0.1.11', author='zoharslong', author_email=\n 'zoharslong@hotmail.com', description=\... | [
0,
1,
2,
3,
4
] |
'''
REFERENCE a table with a FOREIGN KEY
In your database, you want the professors table to reference the universities table. You can do that by specifying a column in professors table that references a column in the universities table.
As just shown in the video, the syntax for that looks like this:
ALTER TABLE a
A... | normal | {
"blob_id": "deaa458e51a7a53dd954d772f9e3b1734508cf28",
"index": 6770,
"step-1": "'''\nREFERENCE a table with a FOREIGN KEY\n\nIn your database, you want the professors table to reference the universities table. You can do that by specifying a column in professors table that references a column in the universiti... | [
0
] |
<|reserved_special_token_0|>
class NeuronsGenerator:
def __init__(self, neuronsNumber, synapse, lowerBound=100.0 * 10 ** -3,
upperBound=800.0 * 10 ** -3, randomVals=False):
noramalLeakSourceConfigurator = NormalLeakSourceConfigurator()
ozNeuronConfigurator = OZNeuronConfigurator()
... | flexible | {
"blob_id": "177401f25471cf1cbd32dd0770acdc12bf271361",
"index": 8030,
"step-1": "<mask token>\n\n\nclass NeuronsGenerator:\n\n def __init__(self, neuronsNumber, synapse, lowerBound=100.0 * 10 ** -3,\n upperBound=800.0 * 10 ** -3, randomVals=False):\n noramalLeakSourceConfigurator = NormalLeakSo... | [
3,
4,
5,
6,
7
] |
# Generated by Django 3.2.6 on 2021-08-19 22:01
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('chat', '0005_user_image'),
]
operations = [
migrations.AlterField(
model_name='user',
name='first_name',
... | normal | {
"blob_id": "fac60a8967354e4f306b95fdb5c75d02dc2c1455",
"index": 2247,
"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 = [('chat', '000... | [
0,
1,
2,
3,
4
] |
import random
import json
import os
from pico2d import *
import game_framework
import game_world
import menu_world
import game_state
from Start_menu import Menu
name = "MenuState"
boy = None
Start_menu = None
menu_time =None
def enter():
global Start_menu
Start_menu = Menu()
menu_world.add_object(Start... | normal | {
"blob_id": "fee2ddca5888c9db00d2d7a4fe11ba20c4e31685",
"index": 1909,
"step-1": "<mask token>\n\n\ndef enter():\n global Start_menu\n Start_menu = Menu()\n menu_world.add_object(Start_menu, 0)\n\n\n<mask token>\n\n\ndef handle_events():\n global Start_menu, menu_time\n events = get_events()\n ... | [
4,
6,
7,
8,
10
] |
# Copyright (c) 2018-2020, NVIDIA CORPORATION.
import os
import shutil
import subprocess
import sys
import sysconfig
from distutils.spawn import find_executable
from distutils.sysconfig import get_python_lib
import numpy as np
import pyarrow as pa
from Cython.Build import cythonize
from Cython.Distutils import build_e... | normal | {
"blob_id": "b3095f181032727544ce3ee6f1ad3a70976c0061",
"index": 7892,
"step-1": "<mask token>\n\n\nclass build_ext_and_proto(build_ext):\n <mask token>\n\n\n<mask token>\n",
"step-2": "<mask token>\nif not CUDA_HOME:\n path_to_cuda_gdb = shutil.which('cuda-gdb')\n if path_to_cuda_gdb is None:\n ... | [
1,
3,
4,
5,
6
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def index(request):
listTopNews = News.objects.filter(category__category='topside-news')
listBottomNews = News.objects.filter(category__category='bottomside-news')
listLeftNews = News.objects.filter(category__categor... | flexible | {
"blob_id": "531d1cab3d0860de38f8d1fefee28f10fc018bdb",
"index": 9005,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef index(request):\n listTopNews = News.objects.filter(category__category='topside-news')\n listBottomNews = News.objects.filter(category__category='bottomside-news')\n list... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
def xd_element(name):
"""
Return the element of an atom as defined in it's label.
"""
try:
name = name[:2]
except:
pass
try:
covalence_radius[name]
except:
name = name[0]
return name
<|reserved_special_token_0|>
def get_a... | flexible | {
"blob_id": "27e685750e5caa2f80c5a6399b07435ee9aa9fb9",
"index": 7936,
"step-1": "<mask token>\n\n\ndef xd_element(name):\n \"\"\"\n Return the element of an atom as defined in it's label.\n \"\"\"\n try:\n name = name[:2]\n except:\n pass\n try:\n covalence_radius[name]\n ... | [
23,
33,
40,
50,
51
] |
<|reserved_special_token_0|>
def fbcmd(message):
sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
sock.connect((ip, int(port)))
sock.send(message.encode())
if DEBUG:
print('INFO: sent to ' + ip + ':' + port + ':' + message)
data = sock.recv(1024)
if DEBUG:
print('INFO: ... | flexible | {
"blob_id": "8eb08fa497ccf3ddc8f4d2b886c9e5a9bdb2e052",
"index": 8006,
"step-1": "<mask token>\n\n\ndef fbcmd(message):\n sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)\n sock.connect((ip, int(port)))\n sock.send(message.encode())\n if DEBUG:\n print('INFO: sent to ' + ip + ':' + por... | [
4,
5,
6,
7,
8
] |
N, M = map(int, input().split())
if N >= M // 2:
print(M // 2)
else:
answer = N
M -= 2 * N
N = 0
print(answer + M // 4)
| normal | {
"blob_id": "ba26aa2f33983019b515c5ea287bd5d5d190eeac",
"index": 7685,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nif N >= M // 2:\n print(M // 2)\nelse:\n answer = N\n M -= 2 * N\n N = 0\n print(answer + M // 4)\n",
"step-3": "N, M = map(int, input().split())\nif N >= M // 2:\n pr... | [
0,
1,
2
] |
# Sets up directories
MusicDir = "AudioFiles\\"
ModelsDir = "Models\\"
MonstersDir = "Models\\Monsters\\" | normal | {
"blob_id": "a929bfbe2be6d8f93cafa5b6cc66c7506037ffca",
"index": 4735,
"step-1": "<mask token>\n",
"step-2": "MusicDir = 'AudioFiles\\\\'\nModelsDir = 'Models\\\\'\nMonstersDir = 'Models\\\\Monsters\\\\'\n",
"step-3": "# Sets up directories\nMusicDir = \"AudioFiles\\\\\"\nModelsDir = \"Models\\\\\"\nMonsters... | [
0,
1,
2
] |
from flask_wtf import FlaskForm
from wtforms import StringField, PasswordField, SubmitField
from wtforms.validators import InputRequired, Length, EqualTo, ValidationError
from passlib.hash import pbkdf2_sha256
from models import User
def invalid_credentials(form, field):
''' Username and password checker '''
userna... | normal | {
"blob_id": "623bd858923d5f9cc109af586fdda01cd3d5fff3",
"index": 961,
"step-1": "<mask token>\n\n\nclass CreateRoomForm(FlaskForm):\n <mask token>\n <mask token>\n <mask token>\n\n\nclass CreateUsernameForm(FlaskForm):\n username = StringField('username', validators=[InputRequired(message=\n '... | [
10,
11,
13,
14,
16
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def openCsv():
"""Open csv file."""
csvFile = 'BDO_app/modules/priceCheck/itemID.csv'
return csvFile
def importAll():
"""Import all the items from csv file."""
csvFile = openCsv()
items = []
with op... | flexible | {
"blob_id": "47ad08bb153801f592d90c48d62338d0f7703899",
"index": 2788,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef openCsv():\n \"\"\"Open csv file.\"\"\"\n csvFile = 'BDO_app/modules/priceCheck/itemID.csv'\n return csvFile\n\n\ndef importAll():\n \"\"\"Import all the items from cs... | [
0,
3,
4,
5,
6
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class TestReview:
async def test_review_add_get(self, ac, fill_db):
token = await register_and_get_token(ac)
token2 = await register_and_get_token(ac, main_user=False)
for param in [{'lesson_id': []}... | flexible | {
"blob_id": "3ec858c04a7622ae621bf322730b6b3ba9f4d07e",
"index": 5826,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass TestReview:\n\n async def test_review_add_get(self, ac, fill_db):\n token = await register_and_get_token(ac)\n token2 = await register_and_get_token(ac, main_us... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
class Controller:
def __init__(self, port_name, slave_address):
self.__instrument = modbus.Instrument(port_name, slave_address,
modbus.MODE_ASCII)
self.__instrument.serial.baudrate = 9600
self.__instrument.serial.parity = modbus.serial.PARITY_NONE
... | flexible | {
"blob_id": "df3dcbf3c8d621f5db2a07765a0a28e7626387d9",
"index": 3485,
"step-1": "<mask token>\n\n\nclass Controller:\n\n def __init__(self, port_name, slave_address):\n self.__instrument = modbus.Instrument(port_name, slave_address,\n modbus.MODE_ASCII)\n self.__instrument.serial.bau... | [
16,
19,
24,
27,
29
] |
#!/usr/bin/python
import os
from base_exploit import *
from reporter import *
from netfw import *
import sys
class remote_shell(base_exploit):
id = EXPLOIT_ID_REMOTE_SHELL
def exploit(self, ip, port):
# Create a connection to requested destination
s = socket(AF_INET, SOCK_DGRAM)
s.con... | normal | {
"blob_id": "f19e853af675c16dfbb911bf2b756de0f1e3f2f8",
"index": 7189,
"step-1": "#!/usr/bin/python\n\nimport os\nfrom base_exploit import *\nfrom reporter import *\nfrom netfw import *\nimport sys\n\nclass remote_shell(base_exploit):\n id = EXPLOIT_ID_REMOTE_SHELL\n\n def exploit(self, ip, port):\n ... | [
0
] |
# -*- coding: utf-8 -*-
from django.contrib.auth.models import User
from django.core.management import call_command
from django.test import TestCase
from django.utils import timezone
from core import models
class ChildTestCase(TestCase):
def setUp(self):
call_command('migrate', verbosity=0)
def test... | normal | {
"blob_id": "135401ea495b80fc1d09d6919ccec8640cb328ce",
"index": 3901,
"step-1": "<mask token>\n\n\nclass TimerTestCase(TestCase):\n\n def setUp(self):\n call_command('migrate', verbosity=0)\n child = models.Child.objects.create(first_name='First', last_name=\n 'Last', birth_date=time... | [
10,
17,
25,
26,
34
] |
<|reserved_special_token_0|>
class profile:
def __init__(self):
self.name = firstNames[random.randrange(0, len(firstNames))
] + ' ' + lastNames[random.randrange(0, len(lastNames))]
self.years = 2020
self.ppg = [f(round(random.gauss(10.5, 2.4), 1))]
self.apg = [f(round(... | flexible | {
"blob_id": "5607d4fea315fa7bf87337453fbef90a93a66516",
"index": 3968,
"step-1": "<mask token>\n\n\nclass profile:\n\n def __init__(self):\n self.name = firstNames[random.randrange(0, len(firstNames))\n ] + ' ' + lastNames[random.randrange(0, len(lastNames))]\n self.years = 2020\n ... | [
5,
6,
7,
8,
9
] |
<|reserved_special_token_0|>
def stringDataset(group, name, data, system=None):
dset = group.create_dataset(name, (1,), dtype=dt, data=data)
if system:
addSystemAttribute(dset, system)
return dset
def addStringAttribute(dset_or_group, name, data):
dset_or_group.attrs[name] = bytes(data, 'utf... | flexible | {
"blob_id": "d4ac5c6f08e9baa458fbe0ca7aa90c4d9372844f",
"index": 408,
"step-1": "<mask token>\n\n\ndef stringDataset(group, name, data, system=None):\n dset = group.create_dataset(name, (1,), dtype=dt, data=data)\n if system:\n addSystemAttribute(dset, system)\n return dset\n\n\ndef addStringAttr... | [
4,
5,
7,
8,
9
] |
# -*- coding: utf-8 -*-
"""
Created on Fri Aug 21 12:39:59 2015
@author: user
Needs to be run after the basic analysis which loads all the data into workspace
"""
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
def AverageLeftRight(EyeData):
#Take the average of two eyes to get more accurate gaz... | normal | {
"blob_id": "00ed68c68d51c5019fde0c489cd133be3d6985c3",
"index": 9339,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef AverageLeftRight(EyeData):\n for eyes in EyeData:\n eyes['avg_x'] = (eyes['left_x'] + eyes['right_x']) / 2\n eyes['avg_y'] = (eyes['left_y'] + eyes['right_y']) / ... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
class Sprite(Widget):
def __init__(self, x, y, w, h, image=None, callback=None, **kw):
"""Sprite widget
"""
Widget.__init__(self, x, y, w, h, **kw)
if image:
self.image = pygame.image.load(image).convert()
else:
self.ima... | flexible | {
"blob_id": "0003d104a4dcd5a5b2357016cbc0317738c2cd3c",
"index": 2007,
"step-1": "<mask token>\n\n\nclass Sprite(Widget):\n\n def __init__(self, x, y, w, h, image=None, callback=None, **kw):\n \"\"\"Sprite widget\n \"\"\"\n Widget.__init__(self, x, y, w, h, **kw)\n if image:\n ... | [
3,
4,
5,
6
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
if __name__ == '__main__':
req = 'https://jsonplaceholder.typicode.com/todos'
response = requests.get(req).json()
d = {}
req_user = 'https://jsonplaceholder.typicode.com/users'
users = requests.get(req_user).js... | flexible | {
"blob_id": "53de53614b3c503a4232c00e8f2fd5a0f4cb6615",
"index": 1624,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nif __name__ == '__main__':\n req = 'https://jsonplaceholder.typicode.com/todos'\n response = requests.get(req).json()\n d = {}\n req_user = 'https://jsonplaceholder.typicode.c... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
class TestWorker(mp.Process):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
def rollout(self):
batch_question, batch_question_len, batch_head, batch_answers = (self
.env.return_batch_data())
if self.return_trace:
l_search_tr... | flexible | {
"blob_id": "c7333d838b87d4c275d9dbb6d7e3047c313b4bc0",
"index": 9212,
"step-1": "<mask token>\n\n\nclass TestWorker(mp.Process):\n <mask token>\n <mask token>\n\n def rollout(self):\n batch_question, batch_question_len, batch_head, batch_answers = (self\n .env.return_batch_data())\n ... | [
6,
9,
10,
12,
14
] |
# Generated by Django 2.2 on 2020-11-05 16:33
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('accounts', '0011_auto_20201104_0936'),
]
operations = [
migrations.AddField(
model_name='users',
name='isadmin',
... | normal | {
"blob_id": "37f610457e51599a29168accd95eaa6699c6f777",
"index": 677,
"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 = [('accounts', '... | [
0,
1,
2,
3,
4
] |
#!/usr/bin/env python3
import argparse
from speaker.main import run
def parse_args():
parser = argparse.ArgumentParser(description='Network speaker device.')
parser.add_argument('-d', '--debug', action='store_true',
help='enable debugging messages')
parser.add_argument('--host', t... | normal | {
"blob_id": "bb173d8869039f8bbd3e35529cf2d99b26d2b8ff",
"index": 7130,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef parse_args():\n parser = argparse.ArgumentParser(description='Network speaker device.')\n parser.add_argument('-d', '--debug', action='store_true', help=\n 'enable de... | [
0,
1,
2,
3,
4
] |
text = input('Ввести имя файла: ')
def a():
lines = 0
words = 0
letters = 0
for line in open(f'{text}.txt', 'r'):
lines += 1
letters += len(line.strip('.,:-()!?;)"\'\n}'))
words += len(line.split())
return f'Lines = {lines}, words = {words}, letters = {letters}'
print(a()... | normal | {
"blob_id": "2a65287588fe1337ba1a6f7c2e15e0505611d739",
"index": 2228,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef a():\n lines = 0\n words = 0\n letters = 0\n for line in open(f'{text}.txt', 'r'):\n lines += 1\n letters += len(line.strip('.,:-()!?;)\"\\'\\n}'))\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": "7bf81954bef81004b6c9838ed00c624d24fcf0c6",
"index": 3839,
"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 = [('application... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
scraper.scrape('spongebob squarepants', 1, 'path/to/output/directory')
<|reserved_special_token_1|>
<|reserved_special_token_0|>
scraper = DuckDuckGoScraper()
scraper.scrape('spongebob squarepants', 1, 'path/to/output/directory... | flexible | {
"blob_id": "d234034f7f232e842d0b4e465ea6ec314af6964d",
"index": 4209,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nscraper.scrape('spongebob squarepants', 1, 'path/to/output/directory')\n",
"step-3": "<mask token>\nscraper = DuckDuckGoScraper()\nscraper.scrape('spongebob squarepants', 1, 'path/to/ou... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
class RRConnection:
<|reserved_special_token_0|>
<|reserved_special_token_0|>
def stop(self):
self._isRunning = False
self._listenerSocket.close()
self._inSock.close()
<|reserved_special_token_0|>
<|reserved_special_token_0|>
def sendAnswe... | flexible | {
"blob_id": "2ccc5e01a3b47a77abcb32160dee74a6a74fcfbb",
"index": 5808,
"step-1": "<mask token>\n\n\nclass RRConnection:\n <mask token>\n <mask token>\n\n def stop(self):\n self._isRunning = False\n self._listenerSocket.close()\n self._inSock.close()\n <mask token>\n <mask toke... | [
7,
12,
13,
16,
19
] |
"""
Design and implement a TwoSum class. It should support the following operations: add and find.
add - Add the number to an internal data structure.
find - Find if there exists any pair of numbers which sum is equal to the value.
Example 1:
add(1); add(3); add(5);
find(4) -> true
find(7) -> false
Example 2:
add(3);... | normal | {
"blob_id": "025c740813f7eea37abadaa14ffe0d8c1bedc79d",
"index": 6275,
"step-1": "<mask token>\n\n\nclass TwoSum:\n <mask token>\n <mask token>\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass TwoSum:\n\n def __init__(self):\n \"\"\"\n Initialize your data structure here.\n ... | [
1,
2,
3,
4,
5
] |
from app.request import send_tor_signal
from app.utils.session_utils import generate_user_keys
from app.utils.gen_ddg_bangs import gen_bangs_json
from flask import Flask
from flask_session import Session
import json
import os
from stem import Signal
app = Flask(__name__, static_folder=os.path.dirname(
os... | normal | {
"blob_id": "26fb607623fda333c37e254470ca6d07708671a8",
"index": 5877,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nif not os.path.exists(app.config['CONFIG_PATH']):\n os.makedirs(app.config['CONFIG_PATH'])\nif not os.path.exists(app.config['SESSION_FILE_DIR']):\n os.makedirs(app.config['SESSION_... | [
0,
1,
2,
3,
4
] |
from random import choice, random
from tabulate import tabulate
from Constants import *
from time import sleep
import numpy as np
import os
class QLearn():
def __init__(self, alfa, gama, epsilon, epsilonDecay, epsilonMin, rewards, environment):
self.alfa = alfa
self.gama = gama
self.epsilon... | normal | {
"blob_id": "221b6ad6035276fb59addc4065c4ccee3f5a2d84",
"index": 6351,
"step-1": "<mask token>\n\n\nclass QLearn:\n <mask token>\n <mask token>\n\n def checkBoundaries(self, state, action):\n row, column = int(state[0]), int(state[1])\n if action == Directions.UP:\n return f'{ma... | [
5,
7,
9,
10,
12
] |
import argparse
import sys
import subprocess
import getpass
# Process arguments
parser = argparse.ArgumentParser(description='Setup a new apache virtual host on an Ubuntu system. Only tested on versions 18.04 and 20.04')
parser.add_argument('domain_name', metavar='D', type=str, nargs='+', help='domain name to give to ... | normal | {
"blob_id": "a8e67ddbb741af6a9ff7540fef8c21468321ede0",
"index": 7996,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nparser.add_argument('domain_name', metavar='D', type=str, nargs='+', help=\n 'domain name to give to virtual host. multiple domains can be specified at once'\n )\n<mask token>\nprin... | [
0,
1,
2,
3,
4
] |
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