code stringlengths 13 6.09M | order_type stringclasses 2
values | original_example dict | step_ids listlengths 1 5 |
|---|---|---|---|
# @Time : 2019/12/12 15:54
# @Author : Libuda
# @FileName: 远程服务器文件监控.py
# @Software: PyCharm
import itchat
@itchat.msg_register(itchat.content.TEXT)
def text_reply(msg):
return msg.text
itchat.auto_login()
itchat.run()
| normal | {
"blob_id": "2b87b8571664989e78790bd9df23eee9cbd44035",
"index": 1363,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\n@itchat.msg_register(itchat.content.TEXT)\ndef text_reply(msg):\n return msg.text\n\n\n<mask token>\n",
"step-3": "<mask token>\n\n\n@itchat.msg_register(itchat.content.TEXT)\nde... | [
0,
1,
2,
3,
4
] |
from paypalcheckoutsdk.core import PayPalHttpClient, SandboxEnvironment
from paypalcheckoutsdk.orders import OrdersCaptureRequest, OrdersCreateRequest
from django.conf import settings
import sys
class PayPalClient:
def __init__(self):
self.client_id = settings.PAYPAL_CLIENT_ID
self.client_secret ... | normal | {
"blob_id": "542bd52e3d5bc79077277034234419983005f78e",
"index": 2128,
"step-1": "<mask token>\n\n\nclass OrderClient(PayPalClient):\n \"\"\" This is the sample function to create an order. It uses the\n JSON body returned by buildRequestBody() to create an order.\"\"\"\n\n def create_order(self, order_... | [
4,
5,
6,
8,
11
] |
<|reserved_special_token_0|>
class ConnTimeout(object):
def __init__(self, timeout, function, servers=5, args=[], kwargs=[]):
self.timeout = timeout
self.timer = None
self.count = 0
self.f = function
self.servers = servers
self.args = args
self.kwargs = kwa... | flexible | {
"blob_id": "ed5ba72443b70c84941af3d112e0246cb3ae97d9",
"index": 5337,
"step-1": "<mask token>\n\n\nclass ConnTimeout(object):\n\n def __init__(self, timeout, function, servers=5, args=[], kwargs=[]):\n self.timeout = timeout\n self.timer = None\n self.count = 0\n self.f = function... | [
5,
6,
7,
8,
11
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def test_check_error_page_1():
try:
link = 'http://suninjuly.github.io/registration1.html'
browser = webdriver.Chrome()
browser.get(link)
field_text = browser.find_element_by_xpath(
... | flexible | {
"blob_id": "83ebebbb6191295adcb58b003bf1c3bcc6fb189f",
"index": 7405,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef test_check_error_page_1():\n try:\n link = 'http://suninjuly.github.io/registration1.html'\n browser = webdriver.Chrome()\n browser.get(link)\n fiel... | [
0,
1,
2,
3,
4
] |
from django.test import TestCase
from django.core.files import File
from ResearchManage.forms import ResearchFormMKI
from django.test import Client
from unittest import TestCase, mock
from datetime import date, timedelta
from django.core.files.uploadedfile import SimpleUploadedFile
import os
# Create your tests here.
... | normal | {
"blob_id": "c5d0b23396e084ad6ffade15b3aa3c59b6be3cc0",
"index": 2706,
"step-1": "<mask token>\n\n\nclass TestForms(TestCase):\n <mask token>\n\n def test_wrong_data_ResearchFormMKI_form(self):\n with open(os.path.abspath(os.curdir) + 'Test.txt', 'wb') as f:\n f.write(b'ABOBA')\n w... | [
5,
6,
7,
8,
9
] |
<|reserved_special_token_0|>
class DB:
<|reserved_special_token_0|>
def __enter__(self):
return self
<|reserved_special_token_0|>
def write(self, data):
sql = "INSERT INTO {}({}) VALUES ('%s')".format('data', 'a') % data
self.cur.execute(sql)
self.conn.commit()
d... | flexible | {
"blob_id": "80ad4459436e2e1cc44509e7dae18d1539bf2bc0",
"index": 8139,
"step-1": "<mask token>\n\n\nclass DB:\n <mask token>\n\n def __enter__(self):\n return self\n <mask token>\n\n def write(self, data):\n sql = \"INSERT INTO {}({}) VALUES ('%s')\".format('data', 'a') % data\n ... | [
4,
6,
7,
8,
9
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
if not os.path.exists(app.config['CONFIG_PATH']):
os.makedirs(app.config['CONFIG_PATH'])
if not os.path.exists(app.config['SESSION_FILE_DIR']):
os.makedirs(app.config['SESSION_FILE_DIR'])
if not os.path.exists(app.config['... | flexible | {
"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 flask_sqlalchemy import SQLAlchemy
from flask_security import UserMixin, RoleMixin
db = SQLAlchemy()
roles_users = db.Table('roles_users',
db.Column('user_id', db.Integer(), db.ForeignKey('user.id')),
db.Column('role_id', db.Integer(), db.ForeignKey('role.id')))
class Role(db.Model, RoleMixin):
... | normal | {
"blob_id": "f561846c943013629e417d16f4dae77df43b25c4",
"index": 3806,
"step-1": "<mask token>\n\n\nclass Role(db.Model, RoleMixin):\n <mask token>\n <mask token>\n <mask token>\n\n def __repr__(self):\n return f'<Role {self.name}'\n\n\nclass User(db.Model, UserMixin):\n id = db.Column(db.I... | [
10,
11,
12,
13,
14
] |
a=int(raw_input())
if (a%2)==0:
print("Even")
else:
print("Odd")
| normal | {
"blob_id": "00b06b5e6465bae3eab336441b283a9831bb93c0",
"index": 4531,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nif a % 2 == 0:\n print('Even')\nelse:\n print('Odd')\n",
"step-3": "a = int(raw_input())\nif a % 2 == 0:\n print('Even')\nelse:\n print('Odd')\n",
"step-4": "a=int(raw_inp... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
for row in data:
cell_text.append([f'{x:1.2f}' for x in row])
<|reserved_special_token_0|>
plt.figure(linewidth=2, edgecolor=fig_border, facecolor=
fig_background_color, tight_layout={'pad': 1}, figsize=(4.5, 1.75))
<|rese... | flexible | {
"blob_id": "ba7db49ca7956fdc055702ffccba769485fd0046",
"index": 8915,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor row in data:\n cell_text.append([f'{x:1.2f}' for x in row])\n<mask token>\nplt.figure(linewidth=2, edgecolor=fig_border, facecolor=\n fig_background_color, tight_layout={'pad': ... | [
0,
1,
2,
3,
4
] |
# funkcja usuwająca zera z listy
def remove_zeros(given_list):
list_without_zero = []
for element in given_list:
if element != 0:
list_without_zero.append(element)
return list_without_zero
# funkcja sortująca listę
def sort_desc(given_list):
# sorted_list = []
# for ... | normal | {
"blob_id": "0779e516e35c41acf0529961e11541dfd1320749",
"index": 6501,
"step-1": "def remove_zeros(given_list):\n list_without_zero = []\n for element in given_list:\n if element != 0:\n list_without_zero.append(element)\n return list_without_zero\n\n\ndef sort_desc(given_list):\n r... | [
5,
7,
8,
10,
11
] |
import numpy as np
import cPickle
from features import create_features, PROJECT
from parse import load_data
from dict_vectorizer import DictVectorizer
videos, users, reviews = load_data()
orig_X = np.array([(x['date'], x['text'], x['user']) for x in reviews])
feats = create_features(orig_X, None)
v = DictVectorizer(s... | normal | {
"blob_id": "e26fa69ea1f0bee82b4108ac5a541a6175645728",
"index": 5955,
"step-1": "<mask token>\n",
"step-2": "<mask token>\ncPickle.dump(v, open(PROJECT + 'db/dictvectorizer.pickle', 'wb'))\n",
"step-3": "<mask token>\nvideos, users, reviews = load_data()\norig_X = np.array([(x['date'], x['text'], x['user'])... | [
0,
1,
2,
3,
4
] |
import os.path
import bcolz
import numpy as np
import zmq
context = zmq.Context()
socket = context.socket(zmq.REP)
socket.bind("tcp://*:5555")
if not os.path.exists('db'):
print("db not found, creating")
ct = bcolz.ctable([np.empty(0, dtype="i8")],
names=['data'],
... | normal | {
"blob_id": "71ac7240287b83be6ec1f2d98e3ee531a8a219e0",
"index": 9879,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nsocket.bind('tcp://*:5555')\nif not os.path.exists('db'):\n print('db not found, creating')\n ct = bcolz.ctable([np.empty(0, dtype='i8')], names=['data'], rootdir='db')\nelse:\n ... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
def json2yaml(json_input, yaml_input):
json_data = json.load(open(json_input, 'r'))
yaml_file = open(yaml_input, 'w')
yaml.safe_dump(json_data, yaml_file, allow_unicode=True,
default_flow_style=False)
yaml_data = yaml.load_all(open(yaml_input, 'r'), Loader=yaml.Ful... | flexible | {
"blob_id": "5c15252611bee9cd9fbb5d91a19850c242bb51f1",
"index": 4940,
"step-1": "<mask token>\n\n\ndef json2yaml(json_input, yaml_input):\n json_data = json.load(open(json_input, 'r'))\n yaml_file = open(yaml_input, 'w')\n yaml.safe_dump(json_data, yaml_file, allow_unicode=True,\n default_flow_s... | [
2,
3,
4,
5,
6
] |
# -*- coding: utf-8 -*-
from django.conf.urls import patterns, url
from customer_support.views import update_existing_subscriber, \
add_new_subscriber
from .views import (EditSubscriberView,
DeActivateSubscriberView,
ReActivateSubscriberView,
SupportSub... | normal | {
"blob_id": "fb4818e742ed3c7d131c426811f839dbe70f03de",
"index": 2650,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nurlpatterns = patterns('', url(regex='new_subscriber/$', view=\n add_new_subscriber, name='support.new_subscriber'), url(regex=\n 'update_subscriber/(?P<pk>\\\\d+)/$', view=update_e... | [
0,
1,
2,
3
] |
# --------------------------------------------------------------------------------------------------
# Property of UAH
# IDS module for ladder logic monitoring
# This codes is Written by Rishabh Das
# Date:- 18th June 2018
# -----------------------------------------------------------------------------------------------... | normal | {
"blob_id": "6f8ce77dd45f555ca092482715b6ccaa33414fd8",
"index": 4176,
"step-1": "<mask token>\n\n\ndef Create_list():\n i = 0\n for file in os.listdir(os.getcwd()):\n if file.endswith('openplc'):\n Monitoredlist.append(file)\n i += 1\n if i == 0:\n print('No Files ar... | [
5,
6,
8,
9,
10
] |
<|reserved_special_token_0|>
class Pop(object):
<|reserved_special_token_0|>
def __init__(self, province, pop_job, population):
"""
Creates a new Pop.
manager (Historia)
province (SecondaryDivision)
culture (Culture)
religion (Religion)
language (Lang... | flexible | {
"blob_id": "887a39f1eeb81e6472938c2451e57866d3ac4a45",
"index": 661,
"step-1": "<mask token>\n\n\nclass Pop(object):\n <mask token>\n\n def __init__(self, province, pop_job, population):\n \"\"\"\n Creates a new Pop.\n manager (Historia)\n province (SecondaryDivision)\n ... | [
15,
26,
28,
32,
33
] |
<|reserved_special_token_0|>
def compute():
poker_hand = load_data()
ans = sum(1 for x in poker_hand if p1_wins(x))
return ans
def p1_wins(hands):
p1 = [(a[0], a[1]) for a in hands[:5]]
p2 = [(a[0], a[1]) for a in hands[5:]]
return get_score(p1) > get_score(p2)
def get_score(hand):
val... | flexible | {
"blob_id": "480e595c54da7426951d750187712fecdcb6d8c7",
"index": 9081,
"step-1": "<mask token>\n\n\ndef compute():\n poker_hand = load_data()\n ans = sum(1 for x in poker_hand if p1_wins(x))\n return ans\n\n\ndef p1_wins(hands):\n p1 = [(a[0], a[1]) for a in hands[:5]]\n p2 = [(a[0], a[1]) for a i... | [
6,
7,
8,
9,
11
] |
<|reserved_special_token_0|>
class ParcelAdmin(admin.ModelAdmin):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class ParcelAdmin(admin.ModelAdmin):
list_display = ['billno', 'shippername', 'rate']
<|reserved_special_token_0|>
<|... | flexible | {
"blob_id": "a550b9406e9dd301b863744bb28bc81fac0cd80c",
"index": 9607,
"step-1": "<mask token>\n\n\nclass ParcelAdmin(admin.ModelAdmin):\n <mask token>\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\nclass ParcelAdmin(admin.ModelAdmin):\n list_display = ['billno', 'shippername', 'rate']\n\n\n<mask tok... | [
1,
2,
3,
4,
5
] |
#!/usr/bin/env python
# coding: utf-8
#%%:
import secrets
import hashlib
import base64
import ecdsa
from sys import byteorder
#%%:
class k_box:
def __init__(self, string = 0, file = 0):
if string != 0:
if not(len(string) == 64):
raise Exception("Bad len")
self.__pr... | normal | {
"blob_id": "1ff2f06349ab1906a1649bdb83828fbdb3cf584f",
"index": 4516,
"step-1": "<mask token>\n\n\nclass k_box:\n\n def __init__(self, string=0, file=0):\n if string != 0:\n if not len(string) == 64:\n raise Exception('Bad len')\n self.__priv_key = bytes.fromhex(st... | [
9,
12,
14,
16,
18
] |
<|reserved_special_token_0|>
@jwt.user_lookup_loader
def user_loader_callback(_jwt_header, jwt_data):
return user_service.first(id=jwt_data['sub'])
@jwt.user_identity_loader
def user_identity_lookup(email):
return user_service.first(email=email).id
@jwt.token_in_blocklist_loader
def check_if_token_in_bloc... | flexible | {
"blob_id": "f1d813ccaf49c8941bf594e22d8683c0ab422a22",
"index": 7632,
"step-1": "<mask token>\n\n\n@jwt.user_lookup_loader\ndef user_loader_callback(_jwt_header, jwt_data):\n return user_service.first(id=jwt_data['sub'])\n\n\n@jwt.user_identity_loader\ndef user_identity_lookup(email):\n return user_servic... | [
4,
5,
6,
7
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
sys.path.append(os.pardir)
<|reserved_special_token_0|>
for i in range(len(x_test)):
p = controller.accuracy(x_test[i])
a = np.argmax(t_test[i])
result[p][a] += 1
if p == a:
accuracy_cnt += 1
if i == tr... | flexible | {
"blob_id": "c2d8e34ab0b449a971c920fc86f259f093f16cc5",
"index": 7156,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nsys.path.append(os.pardir)\n<mask token>\nfor i in range(len(x_test)):\n p = controller.accuracy(x_test[i])\n a = np.argmax(t_test[i])\n result[p][a] += 1\n if p == a:\n ... | [
0,
1,
2,
3,
4
] |
from django.urls import path
from .views import job_upload_view, job_view, job_applicants_view, posted_job_view, bussiness_list_view
app_name = 'jobs'
urlpatterns = [
path('', job_view, name='job-index'),
path('applicants/', job_applicants_view, name='job-applicants'),
path('posted/', posted_job_view, name='job-... | normal | {
"blob_id": "b88af16693eca10d0bd78fd706389f5468c9b99b",
"index": 144,
"step-1": "<mask token>\n",
"step-2": "<mask token>\napp_name = 'jobs'\nurlpatterns = [path('', job_view, name='job-index'), path('applicants/',\n job_applicants_view, name='job-applicants'), path('posted/',\n posted_job_view, name='jo... | [
0,
1,
2,
3
] |
from tkinter import ttk
from chapter04a.validated_mixin import ValidatedMixin
class RequiredEntry(ValidatedMixin, ttk.Entry):
def _focusout_validate(self, event):
valid = True
if not self.get():
valid = False
self.error.set('A value is required')
return valid
| normal | {
"blob_id": "59047a113d76c64be48858258441fae5da505790",
"index": 5792,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass RequiredEntry(ValidatedMixin, ttk.Entry):\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass RequiredEntry(ValidatedMixin, ttk.Entry):\n\n def _focusout_validate(self... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
def main():
describe()
str = 'araaci'
k = 2
res = find_substr_with_distinct_chars(str, k)
print('Input', str, k)
print('Longest substring with k distinct chars is : ', res)
print('Length of longest such substring is : ', len(res))
<|reserved_special_token_0|>... | flexible | {
"blob_id": "1a730f4a5fa2be434af41a3e320cab8338d93644",
"index": 5050,
"step-1": "<mask token>\n\n\ndef main():\n describe()\n str = 'araaci'\n k = 2\n res = find_substr_with_distinct_chars(str, k)\n print('Input', str, k)\n print('Longest substring with k distinct chars is : ', res)\n print... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
def ring_score(item):
return 2 * math.pi * item[0] * item[1]
def solve(pancakes, k):
return max(itertools.combinations(pancakes, k), key=score)
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def score(stack):
syrup = math.pi * m... | flexible | {
"blob_id": "31304c3b0f41b848a36115f1ef098a2104c170ac",
"index": 5779,
"step-1": "<mask token>\n\n\ndef ring_score(item):\n return 2 * math.pi * item[0] * item[1]\n\n\ndef solve(pancakes, k):\n return max(itertools.combinations(pancakes, k), key=score)\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\nd... | [
2,
3,
4,
5,
6
] |
"""
This is a module containing convenience functions to create the JWST aperture and coronagraphic images with WebbPSF.
"""
import os
import numpy as np
import matplotlib.pyplot as plt
import astropy.units as u
import logging
import poppy
from pastis.config import CONFIG_PASTIS
import pastis.util as util
log = loggi... | normal | {
"blob_id": "e59763991974f4bfcd126879dd9aabd44bd89419",
"index": 1406,
"step-1": "<mask token>\n\n\ndef get_jwst_coords(outDir):\n log.info('Creating and saving aperture')\n jwst_pup = poppy.MultiHexagonAperture(rings=2, flattoflat=FLAT_TO_FLAT)\n jwst_pup.display(colorbar=False)\n plt.title('JWST te... | [
6,
7,
8,
9,
10
] |
#!/usr/bin/env python
#lesson4.py
# See original source and C based tutorial at http://nehe.gamedev.net
#This code was created by Richard Campbell '99
#(ported to Python/PyOpenGL by John Ferguson 2000)
#John Ferguson at hakuin@voicenet.com
#Code ported for use with pyglet by Jess Hill (Jestermon) 2009
#jestermon.wee... | normal | {
"blob_id": "5fc097518b6069131e1ca58fa885c6ad45ae143c",
"index": 4741,
"step-1": "<mask token>\n\n\nclass World(pyglet.window.Window):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n def setup(self):\n self.width = 640\n self.height = 480\n self.rtri = 0.0\n ... | [
9,
13,
15,
16,
17
] |
from savers.saver import SaverInterface
import os
from config import SaverConfig
import mysql.connector
import json
import logging
class SQLSaver(SaverInterface):
# This class takes in json files and will interpret the jsons as follows.
# {'tablename':[{'columnname01':'somevalue','columnname02':'somevalue'},{'columnana... | normal | {
"blob_id": "e695b9458c0e98521e560dbb291f6f05bda1549f",
"index": 421,
"step-1": "<mask token>\n\n\nclass SQLSaver(SaverInterface):\n\n def connect(self):\n self.logging.info('Logging to %s@%s:%s -p %s', self.config.SQL_USER,\n self.config.SQL_HOST, self.config.SQL_DATABASE, self.config.\n ... | [
10,
11,
12,
13,
16
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
for i in range(n + 1):
xs[i][-1] = abs(cards[-1] - cards[i])
ys[i][-1] = abs(cards[-1] - cards[i])
for j in range(n - 1, -1, -1):
xs_temp = max(ys[j][j + 1:n + 1])
ys_temp = min(xs[j][j + 1:n + 1])
for i in ran... | flexible | {
"blob_id": "81b9fc78d92fdc4392cb71a77fdfd354ff950ae3",
"index": 6153,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor i in range(n + 1):\n xs[i][-1] = abs(cards[-1] - cards[i])\n ys[i][-1] = abs(cards[-1] - cards[i])\nfor j in range(n - 1, -1, -1):\n xs_temp = max(ys[j][j + 1:n + 1])\n ys... | [
0,
1,
2,
3
] |
import logging
from typing import Dict
import numpy as np
from meshkit import Mesh
from rendkit.materials import DepthMaterial
from vispy import gloo, app
from vispy.gloo import gl
logger = logging.getLogger(__name__)
class Renderable:
def __init__(self,
material_name: str,
at... | normal | {
"blob_id": "061c287d5f0a5feeeaedc80eea6b3fc4ff02286e",
"index": 7191,
"step-1": "<mask token>\n\n\nclass Renderable:\n\n def __init__(self, material_name: str, attributes: Dict[str, np.ndarray\n ], model_mat=np.eye(4), uv_scale=1.0):\n self.model_mat = model_mat\n self.material_name = ma... | [
10,
11,
13,
16,
17
] |
<|reserved_special_token_0|>
class CliConfigManager(BaseConfigManager):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
@classmethod
def _get_count(cls):
config = cls.get_config_or_def... | flexible | {
"blob_id": "fd391d28d76b0c1b3cf6d0b5134390ab3f1267fb",
"index": 5152,
"step-1": "<mask token>\n\n\nclass CliConfigManager(BaseConfigManager):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n @classmethod\n def _get_count(cls):\n config = cls.get_config_o... | [
4,
5,
6,
7,
8
] |
<|reserved_special_token_0|>
def display_meta(request):
context_dict = {'meta_dict': request.META}
return render_to_response('display_meta.html', context_dict)
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def current_datetime(request):
current_date = datetime.datetime.now()
locals_pr... | flexible | {
"blob_id": "ef6f55bf27982f53441215da6822cfcdc80706a5",
"index": 240,
"step-1": "<mask token>\n\n\ndef display_meta(request):\n context_dict = {'meta_dict': request.META}\n return render_to_response('display_meta.html', context_dict)\n",
"step-2": "<mask token>\n\n\ndef current_datetime(request):\n cu... | [
1,
2,
3,
4,
5
] |
import sqlite3
def connect():
connect = sqlite3.connect("books.db")
cursor = connect.cursor()
cursor.execute("CREATE TABLE IF NOT EXISTS bookstore (id INTEGER PRIMARY KEY,"
"title TEXT,"
"author TEXT,"
"year INTEGER,"
"isbn INTEGER... | normal | {
"blob_id": "d7d23b04f6e73db6a0a8730192398941743f32ce",
"index": 6800,
"step-1": "<mask token>\n\n\ndef view():\n connect = sqlite3.connect('books.db')\n cursor = connect.cursor()\n cursor.execute('SELECT * FROM bookstore')\n books = cursor.fetchall()\n connect.close()\n return books\n\n\n<mask... | [
4,
6,
7,
8,
10
] |
<|reserved_special_token_0|>
def runTowerContainer(towerVersion, externalPort, osVersion, containerName,
debug=False, **kwargs):
"""Runs Tower container from pre-existing image"""
allowedMemory = None
if debug == True:
runOpts = dict(towerVersion=towerVersion, externalPort=externalPort,
... | flexible | {
"blob_id": "63e28e6a1ea5db1d1c41bbc755b9c33905e066bb",
"index": 9832,
"step-1": "<mask token>\n\n\ndef runTowerContainer(towerVersion, externalPort, osVersion, containerName,\n debug=False, **kwargs):\n \"\"\"Runs Tower container from pre-existing image\"\"\"\n allowedMemory = None\n if debug == Tru... | [
1,
3,
4,
5,
6
] |
"""
Exercício 1 - Facebook
Você receberá uma lista de palavras e uma string . Escreva uma função que
decida quais palavras podem ser formadas com os caracteres da string (cada
caractere só pode ser utilizado uma vez). Retorne a soma do comprimento das
palavras escolhidas.
Exemplo 1:
"""
# words = ["cat", "bt", "hat", ... | normal | {
"blob_id": "bf7e3ddaf66f4c325d3f36c6b912b47f4ae22cba",
"index": 4779,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef count_words(words, chars):\n ans = 0\n alphabet = {}\n for char in chars:\n if char not in alphabet:\n alphabet[char] = 1\n else:\n al... | [
0,
1,
2,
3,
4
] |
from behave import given, when, then
from pages.LoginPage import LoginPage
from pages.ProductsPage import ProductsPage
class ProductsListSteps:
@given("Prepare classes products list")
def prepare_class(context):
context.login = LoginPage(context.driver)
context.products = ProductsPage(context.... | normal | {
"blob_id": "a74a880039bad030d665e001da74075bd61fcc23",
"index": 1593,
"step-1": "<mask token>\n\n\nclass ProductsListSteps:\n\n @given('Prepare classes products list')\n def prepare_class(context):\n context.login = LoginPage(context.driver)\n context.products = ProductsPage(context.driver)\... | [
2,
3,
4,
5,
6
] |
# Fix a method's vtable calls + reference making
#@author simo
#@category iOS.kernel
#@keybinding R
#@toolbar logos/refs.png
#@description Resolve references for better CFG
# -*- coding: utf-8 -*-
"""
script which does the following:
- adds references to virtual method calls
- Identifies methods belong to a specific ... | normal | {
"blob_id": "30a57197e3156023ac9a7c4a5218bfe825e143d9",
"index": 5978,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nif __name__ == '__main__':\n fix_extra_refs(currentAddress)\n",
"step-3": "<mask token>\nfrom utils.references import *\nif __name__ == '__main__':\n fix_extra_refs(currentAddress... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
for i in range(len(check_list)):
if check_list[i] in sentence:
check = True
idx = sentence.find(check_list[i])
sentence = sentence[idx + 1:]
else:
check = False
break
if check == Tru... | flexible | {
"blob_id": "4545d9756d1f396ead0b0c75d319fb6a718375cd",
"index": 2108,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor i in range(len(check_list)):\n if check_list[i] in sentence:\n check = True\n idx = sentence.find(check_list[i])\n sentence = sentence[idx + 1:]\n else:\n ... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class PersonAdmin(admin.ModelAdmin):
pass
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class PersonAdmin(admin.ModelAdmin):
pass
admin.site.register(Person)
<|reserved... | flexible | {
"blob_id": "d90aeaaa682b371afb4771ecfbf1077fc12520b4",
"index": 3873,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass PersonAdmin(admin.ModelAdmin):\n pass\n\n\n<mask token>\n",
"step-3": "<mask token>\n\n\nclass PersonAdmin(admin.ModelAdmin):\n pass\n\n\nadmin.site.register(Person)\n",... | [
0,
1,
2,
3,
4
] |
import urllib.request
import json
import dml, prov.model
import datetime, uuid
import geojson
# import csv
"""
Skelton file provided by lapets@bu.edu
Heavily modified by bmroach@bu.edu
City of Boston Open Spaces (Like parks, etc)
Development notes:
"""
class retrieve_open_space(dml.Algorithm):
contributor = '... | normal | {
"blob_id": "2c82dd33180a7442607e5cbedf8846bd72b37150",
"index": 9914,
"step-1": "<mask token>\n\n\nclass retrieve_open_space(dml.Algorithm):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n @staticmethod\n def provenance(doc=prov.model.ProvDocument(), startTime=None, endTime=Non... | [
2,
3,
4,
5,
6
] |
<|reserved_special_token_0|>
def handle(text, mic, profile):
messages1 = ['Naturally Sir ', 'Of course Sir ', "I'll get right at it"]
final = random.choice(messages1)
mic.say(final)
command = 'ssh pi@'
ip = profile['piip']
command += ip
command += ' pkill omxplayer'
os.system(command)
... | flexible | {
"blob_id": "668a8005f2f66190d588fb9289293d73a608f767",
"index": 926,
"step-1": "<mask token>\n\n\ndef handle(text, mic, profile):\n messages1 = ['Naturally Sir ', 'Of course Sir ', \"I'll get right at it\"]\n final = random.choice(messages1)\n mic.say(final)\n command = 'ssh pi@'\n ip = profile['... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
radio.on()
while True:
message = radio.receive_full()
if message:
strength = message[1] + 100
displaystrength = int(strength / 10 + 1)
display.show(str(displaystrength))
sleep(200)
else:... | flexible | {
"blob_id": "dffa5e2f34788c6f5a5ccc7d8375317a830288b5",
"index": 7994,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nradio.on()\nwhile True:\n message = radio.receive_full()\n if message:\n strength = message[1] + 100\n displaystrength = int(strength / 10 + 1)\n display.show(s... | [
0,
1,
2,
3
] |
#!/usr/bin/python
#The MIT License (MIT)
#
#Copyright (c) 2015 Stephen P. Smith
#
#Permission is hereby granted, free of charge, to any person obtaining a copy
#of this software and associated documentation files (the "Software"), to deal
#in the Software without restriction, including without limitation the rights
#to... | normal | {
"blob_id": "5d92c68e0fe7f37d4719fb9ca4274b29ff1cbb43",
"index": 4699,
"step-1": "<mask token>\n\n\nclass max31865(object):\n <mask token>\n\n def __init__(self, csPin=8, misoPin=9, mosiPin=10, clkPin=11):\n self.csPin = csPin\n self.misoPin = misoPin\n self.mosiPin = mosiPin\n ... | [
8,
9,
11,
12,
14
] |
# Copyright 2022 Huawei Technologies Co., Ltd
#
# 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 required by applicable law or agreed to... | normal | {
"blob_id": "883d2efeb6d7d43cf82eef2e0397110fd8e3ea03",
"index": 4368,
"step-1": "<mask token>\n\n\ndef parse_args():\n \"\"\"\n parse args\n \"\"\"\n parser = argparse.ArgumentParser(description='ternarybert evaluation')\n parser.add_argument('--device_target', type=str, default='Ascend',\n ... | [
2,
3,
4,
5,
6
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
setup(name='spt_compute', version='2.0.1', description=
'Computational framework for the Streamflow Prediciton Tool',
long_description=
"Computational framework to ingest ECMWF ensemble runoff forcasts or otherLand Su... | flexible | {
"blob_id": "53b6d30bf52c43daaebe8158002db1072e34f127",
"index": 7956,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nsetup(name='spt_compute', version='2.0.1', description=\n 'Computational framework for the Streamflow Prediciton Tool',\n long_description=\n \"Computational framework to ingest ... | [
0,
1,
2,
3
] |
from migen import *
from migen.fhdl import verilog
class Alignment_Corrector(Module):
def __init__(self):
self.din=din=Signal(32)
self.aligned=aligned=Signal()
self.dout=dout=Signal(32)
self.correction_done=Signal()
# # #
first_half=Signal(16)
first_half1=Signal(16)
second_half=Signal(16)
self.submo... | normal | {
"blob_id": "f3eed00a58491f36778b3a710d2f46be093d6eda",
"index": 6320,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass Alignment_Corrector(Module):\n <mask token>\n\n\n<mask token>\n",
"step-3": "<mask token>\n\n\nclass Alignment_Corrector(Module):\n\n def __init__(self):\n self.d... | [
0,
1,
2,
3,
4
] |
g=int(input())
num=0
while(g>0):
num=num+g
g=g-1
print(num)
| normal | {
"blob_id": "8b18f098080c3f5773aa04dffaff0639fe7fa74f",
"index": 8886,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nwhile g > 0:\n num = num + g\n g = g - 1\nprint(num)\n",
"step-3": "g = int(input())\nnum = 0\nwhile g > 0:\n num = num + g\n g = g - 1\nprint(num)\n",
"step-4": "g=int(in... | [
0,
1,
2,
3
] |
'''
leetcode 338. 比特位计数
给定一个非负整数 num。对于 0 ≤ i ≤ num 范围中的每个数字 i ，计算其二进制数中的 1 的数目并将它们作为数组返回。
'''
class Solution(object):
def countBits(self, n):
"""
:type n: int
:rtype: List[int]
"""
out = [0] * (n+1)
for i in range(1,n+1,1):
if i%2==1: out[i]=o... | normal | {
"blob_id": "4cd1e385d18086b1045b1149d5f4573eaf9270c3",
"index": 6223,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass Solution(object):\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass Solution(object):\n\n def countBits(self, n):\n \"\"\"\n :type n: int\n :rty... | [
0,
1,
2,
3
] |
#!/usr/bin/env python3
# ---------------------------------------------------
# SSHSploit Framework
# ---------------------------------------------------
# Copyright (C) <2020> <Entynetproject>
#
# This program is free soft... | normal | {
"blob_id": "caf83d35ce6e0bd4e92f3de3a32221705a529ec1",
"index": 9467,
"step-1": "<mask token>\n\n\ndef banner():\n os.system('clear')\n os.system('cat banner/banner.txt')\n print('')\n print('SSHSploit Framework v1.0')\n print('------------------------')\n print('')\n\n\n<mask token>\n",
"st... | [
1,
2,
4,
5,
6
] |
'''
Created on 2021. 4. 8.
@author: user
'''
import matplotlib.pyplot as plt
import numpy as np
plt.rc("font", family="Malgun Gothic")
def scoreBarChart(names, score):
plt.bar(names, score)
plt.show()
def multiBarChart(names, score):
plt.plot(names, score, "ro--")
plt.plot([1, 2, 3], [70, 8... | normal | {
"blob_id": "542602a42eb873508ce2ec39d0856f10cc1e04ff",
"index": 8426,
"step-1": "<mask token>\n\n\ndef scoreBarChart(names, score):\n plt.bar(names, score)\n plt.show()\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\ndef scoreBarChart(names, score):\n plt.bar(names, score)\n plt.show()\n\n\ndef... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
from django.http import request
from restapp.ExcelSheet import *
<|reserved_special_token_0|>
<|reserved_special_token_1|>
from django.http import request
from restapp.ExcelSheet import *
'''ApiHomeDict={}
class LoadDict():
e = ExcelSheetAll()
... | flexible | {
"blob_id": "ff924b803a875d3f6201baa2c1251a6c5b8cde61",
"index": 5903,
"step-1": "<mask token>\n",
"step-2": "from django.http import request\nfrom restapp.ExcelSheet import *\n<mask token>\n",
"step-3": "from django.http import request\r\nfrom restapp.ExcelSheet import *\r\n\r\n\r\n'''ApiHomeDict={}\r\nclas... | [
0,
1,
2
] |
<|reserved_special_token_0|>
def moveFingers(jointcmds, prefix, nbJoints):
topic_name = '/' + prefix + '/effort_finger_trajectory_controller/command'
pub = rospy.Publisher(topic_name, JointTrajectory, queue_size=1)
jointCmd = JointTrajectory()
point = JointTrajectoryPoint()
jointCmd.header.stamp =... | flexible | {
"blob_id": "ee7c63f36b4720566389826680b90c6f68de85b2",
"index": 5200,
"step-1": "<mask token>\n\n\ndef moveFingers(jointcmds, prefix, nbJoints):\n topic_name = '/' + prefix + '/effort_finger_trajectory_controller/command'\n pub = rospy.Publisher(topic_name, JointTrajectory, queue_size=1)\n jointCmd = J... | [
1,
2,
4,
5,
6
] |
<|reserved_special_token_0|>
class Adj(NamedTuple):
adj_t: SparseTensor
e_id: Optional[Tensor]
size: Tuple[int, int]
<|reserved_special_token_0|>
class RandomIndexSampler(torch.utils.data.Sampler):
def __init__(self, num_nodes: int, num_parts: int, shuffle: bool=False):
self.N = num_nod... | flexible | {
"blob_id": "3f4f396d1d18611e0248a08b42328422ca4b8146",
"index": 4766,
"step-1": "<mask token>\n\n\nclass Adj(NamedTuple):\n adj_t: SparseTensor\n e_id: Optional[Tensor]\n size: Tuple[int, int]\n <mask token>\n\n\nclass RandomIndexSampler(torch.utils.data.Sampler):\n\n def __init__(self, num_nodes... | [
12,
15,
18,
20,
21
] |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from cv2 import DualTVL1OpticalFlow_create as DualTVL1
from tensorflow.python.platform import flags
import os
import sys
sys.path.insert(0, '..')
from utils import image_funcs
import numpy as np
def make_di... | normal | {
"blob_id": "42a717591fb8fe480581d8996e9811d0292d0eb1",
"index": 7567,
"step-1": "<mask token>\n\n\ndef make_dir(directory):\n import os\n import errno\n try:\n os.makedirs(directory)\n except OSError as e:\n if e.errno != errno.EEXIST:\n raise\n\n\n<mask token>\n\n\ndef save... | [
3,
5,
6,
7,
8
] |
print "test"
print "moreing"
print " a nnnnn" | normal | {
"blob_id": "551e9c696eaad6c78f2eae66e50cca34c153d9dd",
"index": 4636,
"step-1": "print \"test\"\n\nprint \"moreing\"\n\nprint \" a nnnnn\"",
"step-2": null,
"step-3": null,
"step-4": null,
"step-5": null,
"step-ids": [
0
]
} | [
0
] |
<|reserved_special_token_0|>
def displayImage(winName, img):
""" Helper function to display image
arguments:
winName -- Name of display window
img -- Source Image
"""
cv.imshow(winName, img)
cv.waitKey(0)
def task_1_a():
print('Task 1 (a) ...')
img = cv.imread('../images/shap... | flexible | {
"blob_id": "f7886f8d98ad0519f4635064f768f25dad101a3d",
"index": 2612,
"step-1": "<mask token>\n\n\ndef displayImage(winName, img):\n \"\"\" Helper function to display image\n arguments:\n winName -- Name of display window\n img -- Source Image\n \"\"\"\n cv.imshow(winName, img)\n cv.wai... | [
7,
8,
10,
12,
13
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def bytes_from_file(path, size, quality=15):
img = Image.open(path)
img = img.resize(size)
img_byte_arr = io.BytesIO()
img.save(img_byte_arr, format='JPEG', quality=quality)
return img_byte_arr.getvalue()
<... | flexible | {
"blob_id": "3344eb5b3e5b5eaee7b08d0991be732dae62c7fc",
"index": 7137,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef bytes_from_file(path, size, quality=15):\n img = Image.open(path)\n img = img.resize(size)\n img_byte_arr = io.BytesIO()\n img.save(img_byte_arr, format='JPEG', qualit... | [
0,
1,
2,
3
] |
# first we have to label the Banana / Apple / Tomato in the images
# we will use lables me
# pip install pyqt5
# pip install labelme
# after labeling the images. lets test it.
#Each image has a json file
import pixellib
from pixellib.custom_train import instance_custom_training
train_maskRcnn = instance_custom_tra... | normal | {
"blob_id": "cb4ca5f91c7cd47197784085258536166055afe9",
"index": 4212,
"step-1": "<mask token>\n",
"step-2": "<mask token>\ntrain_maskRcnn.modelConfig(network_backbone='resnet101', num_classes=3,\n batch_size=1)\ntrain_maskRcnn.load_pretrained_model('c:/models/mask_rcnn_coco.h5')\ntrain_maskRcnn.load_datase... | [
0,
1,
2,
3,
4
] |
import requests
from requests.adapters import HTTPAdapter
from requests.exceptions import ConnectionError, Timeout, RequestException
# import from `requests` because Jarvis / some platforms still have old urllib3
from requests.packages.urllib3.util.retry import Retry
def retryable_session(retries=3, backoff_factor=0.5... | normal | {
"blob_id": "603708c830dadb6f1a3e5de00536d558f448b5fb",
"index": 1352,
"step-1": "<mask token>\n\n\nclass Getter(object):\n <mask token>\n\n def __call__(self, url, **kwargs):\n try:\n return self._inner_call(url, **kwargs)\n except (Timeout, ConnectionError, RequestException) as e... | [
5,
6,
7,
8,
9
] |
from torch import Tensor
from torch.autograd import Variable
from torch.optim import Adam
from maac.utils.misc import hard_update, onehot_from_logits
from maac.utils.policies import DiscretePolicy
class AttentionAgent(object):
"""
General class for Attention agents (policy, target policy)
"""
def __i... | normal | {
"blob_id": "845d04312abc0e64a7810b52bbee333d2bdf3dfb",
"index": 7164,
"step-1": "<mask token>\n\n\nclass AttentionAgent(object):\n <mask token>\n\n def __init__(self, num_in_pol, num_out_pol, hidden_dim=64, lr=0.01,\n onehot_dim=0):\n \"\"\"\n Inputs:\n num_in_pol (int): nu... | [
4,
5,
6,
7
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class Solution:
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class Solution:
def fieldOfGreatestBlessing(self, forceField: List[List[int]]) ->int:
allX, allY = set(... | flexible | {
"blob_id": "0212382b5c8cc1e98142a784fd26efd577ebceaf",
"index": 1656,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass Solution:\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass Solution:\n\n def fieldOfGreatestBlessing(self, forceField: List[List[int]]) ->int:\n allX, allY =... | [
0,
1,
2,
3,
4
] |
def missing_value_count_and_percent(df):
"""
Return the number and percent of missing values for each column.
Args:
df (Dataframe): A dataframe with many columns
Return:
df (Dataframe): A dataframe with one column showing number of missing values, one column showing percentage of ... | normal | {
"blob_id": "88c304f224ab60062582abbfa1146a651e1233e6",
"index": 183,
"step-1": "def missing_value_count_and_percent(df):\n \"\"\"\n Return the number and percent of missing values for each column. \n\n Args:\n df (Dataframe): A dataframe with many columns\n \n Return:\n df (Datafram... | [
0
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
async def process_credential_queue():
print("Get exported wallet id's from agent", datetime.datetime.now())
agent_wallet_ids = get_agent_wallet_ids()
print("# wallet id's:", len(agent_wallet_ids))
conn = None
... | flexible | {
"blob_id": "cdb49af584ae7befcaebfd9bb303073c8229667e",
"index": 3433,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nasync def process_credential_queue():\n print(\"Get exported wallet id's from agent\", datetime.datetime.now())\n agent_wallet_ids = get_agent_wallet_ids()\n print(\"# wallet... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
if not os.path.exists(LOG_DIR):
os.mkdir(LOG_DIR)
if not os.path.exists(PATH_LOG):
f = open(PATH_LOG, 'w')
f.write('')
f.close()
<|reserved_special_token_0|>
logger.setLevel(logging.DEBUG)
<|reserved_special_token_... | flexible | {
"blob_id": "96910e9b6861fc9af0db3a3130d898fd1ee3daad",
"index": 3356,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nif not os.path.exists(LOG_DIR):\n os.mkdir(LOG_DIR)\nif not os.path.exists(PATH_LOG):\n f = open(PATH_LOG, 'w')\n f.write('')\n f.close()\n<mask token>\nlogger.setLevel(loggin... | [
0,
1,
2,
3,
4
] |
from symcollab.algebra import *
from .ac import *
from copy import deepcopy
# This is a single arity function which only actually gets applied when called an odd number of times
# Useful for the inverse function later on
# A group G is an algebraic structure which satisfies the following properties
# (1) G is closed... | normal | {
"blob_id": "93133b9a62d50e4e48e37721585116c1c7d70761",
"index": 2490,
"step-1": "<mask token>\n\n\nclass GroupVariable(GroupElement, Variable):\n\n def __init__(self, g: Group, symbol: str):\n GroupElement.__init__(self, g)\n Variable.__init__(self, symbol)\n\n def __hash__(self):\n r... | [
18,
31,
34,
35,
37
] |
<|reserved_special_token_0|>
class Sentence(object):
def __init__(self, text):
self.text = text
self.data = dict()
def SentS(self):
sents = SentenceSplitter.split(self.text)
return sents
def getLTPAnalysis(self, sentence):
words = segmentor.segment(sentence)
... | flexible | {
"blob_id": "dc41c64d09e5fdd0e234f516eeec0cbd2433876c",
"index": 8507,
"step-1": "<mask token>\n\n\nclass Sentence(object):\n\n def __init__(self, text):\n self.text = text\n self.data = dict()\n\n def SentS(self):\n sents = SentenceSplitter.split(self.text)\n return sents\n\n ... | [
9,
11,
12,
14,
16
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def own_day_and_last_person(str_arg):
print(str_arg)
<|reserved_special_token_0|>
<|reserved_special_token_1|>
def see_great_place_about_large_man(str_arg):
own_day_and_last_person(str_arg)
print('own_case')
d... | flexible | {
"blob_id": "515c14fcf2c3e9da31f6aba4b49296b18f04f262",
"index": 4786,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef own_day_and_last_person(str_arg):\n print(str_arg)\n\n\n<mask token>\n",
"step-3": "def see_great_place_about_large_man(str_arg):\n own_day_and_last_person(str_arg)\n p... | [
0,
1,
2,
3,
4
] |
"Base document saver context classes."
import copy
import os.path
import sys
import flask
from . import constants
from . import utils
class BaseSaver:
"Base document saver context."
DOCTYPE = None
EXCLUDE_PATHS = [["_id"], ["_rev"], ["doctype"], ["modified"]]
HIDDEN_VALUE_PATHS = []
def __ini... | normal | {
"blob_id": "83fe635e35711c2c41d043a59d00a50cc87e69fa",
"index": 7696,
"step-1": "<mask token>\n\n\nclass BaseSaver:\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token... | [
8,
15,
21,
22,
24
] |
#!/usr/bin/env python
import pyaudio
import wave
import winshell
"""
This script accesses the Laptop's microphone using the library pyaudio and opens a stream to record the voice
and writes it to an mp3 file
"""
def start():
try:
CHUNK = 1024
FORMAT = pyaudio.paInt16
CHANNELS = 2
RA... | normal | {
"blob_id": "bbbbf0e1bbd7ead034d8cd88ee6a09a61cde7803",
"index": 3463,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef start():\n try:\n CHUNK = 1024\n FORMAT = pyaudio.paInt16\n CHANNELS = 2\n RATE = 44100\n dest_path = winshell.desktop() + '\\\\Spyware\\\\Ou... | [
0,
1,
2,
3
] |
#!/usr/bin/env python
#-------------------------------------------------------------------------------
# Name: Sequitr
# Purpose: Sequitr is a small, lightweight Python library for common image
# processing tasks in optical microscopy, in particular, single-
# molecule imaging, super-resolution... | normal | {
"blob_id": "01f4d097cc5f4173fa5a13268b91753566a9f7e1",
"index": 3112,
"step-1": "#!/usr/bin/env python\n#-------------------------------------------------------------------------------\n# Name: Sequitr\n# Purpose: Sequitr is a small, lightweight Python library for common image\n# processing tasks... | [
0
] |
import datetime
from django.shortcuts import render
from lims.models import *
import os
import zipfile
def getpicture(word):
if word.split(".")[1] not in ["doc","docx"]:
return None
word_zip = word.split(".")[0] + ".zip"
path = ""
for i in word.split("/")[0:-1]:
path += i
... | normal | {
"blob_id": "e32c73abdcd384ee7c369182527cca6495f067b3",
"index": 1977,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef getData(request):\n index = request.GET.get('index')\n msg = '未查找到数据'\n if ExtExecute.objects.filter(query_code=index):\n ext = ExtExecute.objects.filter(query_cod... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def put_record_to_logstream(event: utils.LambdaEvent) ->str:
"""Put a record of source Lambda execution in LogWatch Logs."""
log_group_name = env['REPORT_LOG_GROUP_NAME']
utils.Log.info('Fetching requestPayload and r... | flexible | {
"blob_id": "01d545e77c211201332a637a493d27608721aad5",
"index": 7004,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef put_record_to_logstream(event: utils.LambdaEvent) ->str:\n \"\"\"Put a record of source Lambda execution in LogWatch Logs.\"\"\"\n log_group_name = env['REPORT_LOG_GROUP_NAM... | [
0,
1,
2,
3,
4
] |
from sys import stdin
def IsPrime(x):
for i in range(2, int(x ** 0.5) + 1):
if not x % i:
return False
return True
for x in stdin:
x = x[:-1]
y = x[::-1]
a = IsPrime(int(x))
b = IsPrime(int(y))
if not a:
print("%s is not prime." %x)
elif (a and not ... | normal | {
"blob_id": "fcfec521e071aa586febc74efb2deb0e9d0a331e",
"index": 3358,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef IsPrime(x):\n for i in range(2, int(x ** 0.5) + 1):\n if not x % i:\n return False\n return True\n\n\n<mask token>\n",
"step-3": "<mask token>\n\n\ndef I... | [
0,
1,
2,
3,
4
] |
# Generated by Django 3.1.7 on 2021-04-16 05:56
from django.db import migrations
import django.db.models.manager
class Migration(migrations.Migration):
dependencies = [
('Checkbook', '0002_auto_20210415_2250'),
]
operations = [
migrations.AlterModelManagers(
name='transactio... | normal | {
"blob_id": "f15f49a29f91181d0aaf66b19ce9616dc7576be8",
"index": 6740,
"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 = [('Checkbook',... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
class BotNotes:
def __init__(self):
self.notes = botdb.get_plugin_value('SpiceBot_Release_Notes', 'notes'
) or dict()
self.dir_to_scan = botread.get_config_dirs('SpiceBot_Release_Notes')
self.load_txt_files(self.dir_to_scan)
self.save_notes... | flexible | {
"blob_id": "2a062f0c2836850320cdd39eee6a354032ba5c33",
"index": 4565,
"step-1": "<mask token>\n\n\nclass BotNotes:\n\n def __init__(self):\n self.notes = botdb.get_plugin_value('SpiceBot_Release_Notes', 'notes'\n ) or dict()\n self.dir_to_scan = botread.get_config_dirs('SpiceBot_Rele... | [
3,
4,
5,
6,
7
] |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
One cycle policy based on Leslie Smith's paper(https://arxiv.org/pdf/1803.09820.pdf)
Created on Wed Mar 31 13:53:39 2021
"""
import logging
import numpy as np
import tensorflow as tf
import matplotlib.pyplot as plt
logging.getLogger('tensorflow').setLevel(logging.ERR... | normal | {
"blob_id": "056235f8f65a3d6a310ee8a8742c1369b5398f28",
"index": 7749,
"step-1": "<mask token>\n\n\nclass OneCycleScheduler(Callback):\n <mask token>\n\n def __init__(self, lr_max, steps, mom_min=0.85, mom_max=0.95,\n phase_1_pct=0.3, div_factor=25.0):\n super(OneCycleScheduler, self).__init_... | [
7,
11,
15,
16,
19
] |
n = 0.3
c = 2
def func(x):
return x**c
def der_func(x):
return c * x**(c - 1)
def na_value(x):
return x - n*der_func(x)
def main():
x = 100
v_min = func(x)
for i in range(10):
cur_v = func(x)
x = na_value(x)
if cur_v < v_min:
v_min = cur_v
print... | normal | {
"blob_id": "fa7246a4e7595393ca9aaec777fa85d782bb816e",
"index": 4815,
"step-1": "<mask token>\n\n\ndef func(x):\n return x ** c\n\n\ndef der_func(x):\n return c * x ** (c - 1)\n\n\n<mask token>\n\n\ndef main():\n x = 100\n v_min = func(x)\n for i in range(10):\n cur_v = func(x)\n x ... | [
3,
4,
5,
6,
7
] |
"""
eulerian_path.py
An Eulerian path, also called an Euler chain, Euler trail, Euler walk, or "Eulerian" version of any of these
variants, is a walk on the graph edges of a graph which uses each graph edge in the original graph exactly once.
A connected graph has an Eulerian path iff it has at most two graph vertices ... | normal | {
"blob_id": "73e6930c6866d3ccdbccec925bfc5e7e4702feb9",
"index": 8348,
"step-1": "<mask token>\n\n\nclass EulerianPath:\n <mask token>\n\n\n class EEdge(Edge):\n\n def __init__(self, v=0, w=0, is_used=False):\n super().__init__(v, w)\n self._is_used = is_used\n\n def get... | [
7,
8,
10,
11,
12
] |
<|reserved_special_token_0|>
def create_message(from_addr, to_addr, subject, message, encoding):
body = MIMEText(message, 'plain', encoding)
body['Subject'] = subject
body['From'] = from_addr
body['To'] = to_addr
body['Date'] = formatdate()
return body
def send_via_gmail(from_addr, to_addr, ... | flexible | {
"blob_id": "237724db5130926123a3a31be7070947ec7b01f3",
"index": 3492,
"step-1": "<mask token>\n\n\ndef create_message(from_addr, to_addr, subject, message, encoding):\n body = MIMEText(message, 'plain', encoding)\n body['Subject'] = subject\n body['From'] = from_addr\n body['To'] = to_addr\n body... | [
2,
3,
4,
5,
6
] |
from PyQt5 import QtCore, QtGui, QtWidgets
class Ui_Rec1(object):
def setupUi(self, Rec1):
Rec1.setObjectName("Rec1")
Rec1.setFixedSize(450, 200)
ico = QtGui.QIcon("mylogo.png")
Rec1.setWindowIcon(ico)
font = QtGui.QFont()
font.setFamily("Times New Roman")
f... | normal | {
"blob_id": "c500ecaa66672ac960dc548c3f3882e4bc196745",
"index": 6870,
"step-1": "<mask token>\n\n\nclass Ui_Rec1(object):\n <mask token>\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass Ui_Rec1(object):\n <mask token>\n\n def retranslateUi(self, Rec1):\n _translate = QtCore.QCoreApplic... | [
1,
2,
3,
4,
5
] |
'''
'Daniel Moulton
'3/24/15
'Implementation of the mergesort sorting algorithm in python.
'Utilizes a series of random numbers as the initial input
'Uses a top down approach to recursively sort the original list and output the final result.
'''
from random import randrange
def mergeSort(original_list):
#initiali... | normal | {
"blob_id": "294229849dcfac8d4afeab79dae3c652c853fc47",
"index": 1924,
"step-1": "<mask token>\n\n\ndef mergeSort(original_list):\n return subSort(original_list)\n\n\ndef subSort(sub_list):\n if len(sub_list) < 2:\n return sub_list\n index = len(sub_list) // 2\n left_list = sub_list[0:index]\n... | [
4,
5,
6,
7,
8
] |
<|reserved_special_token_0|>
class MyEditor:
def execute(self):
print('Spell Cheack')
print('Auto COmpile')
print('COde check')
print('compile')
class laptop:
def code(self, ide):
ide.execute()
<|reserved_special_token_0|>
<|reserved_special_token_1|>
class pyc... | flexible | {
"blob_id": "3ec162070f79ae38d6ae3ceb858c15b6e39f7027",
"index": 9870,
"step-1": "<mask token>\n\n\nclass MyEditor:\n\n def execute(self):\n print('Spell Cheack')\n print('Auto COmpile')\n print('COde check')\n print('compile')\n\n\nclass laptop:\n\n def code(self, ide):\n ... | [
4,
6,
7,
8,
9
] |
# Obtener en otra lista unicamente números impares:
my_list = [1, 4, 5, 6, 9, 13, 19, 21]
# Vamos a hacer una list comprehension:
lista_impares = [num for num in my_list if num % 2 != 0]
print(my_list)
print(lista_impares)
print('')
# Vamos a usar filter:
lista_pares = list(filter(lambda x: x % 2 == 0 , my_list))
p... | normal | {
"blob_id": "e1913c80375e4871119182d0267e9f228818624f",
"index": 4309,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(my_list)\nprint(lista_impares)\nprint('')\n<mask token>\nprint(my_list)\nprint(lista_pares)\n",
"step-3": "my_list = [1, 4, 5, 6, 9, 13, 19, 21]\nlista_impares = [num for num in m... | [
0,
1,
2,
3
] |
# -*- coding: utf-8 -*-
"""
Created on Wed Dec 20 09:54:08 2017
@author: chuang
"""
import os
import pickle
#from collections import Counter
#import user_replace
import jieba
import re
from multiprocessing import Pool
#%%
# parameters for processing the dataset
DATA_PATH = '../data/weibo_single... | normal | {
"blob_id": "5fd54de3b2f9c2e18a283d016fc16e0e622dc6a0",
"index": 8415,
"step-1": "<mask token>\n\n\ndef replace_tokens(text, replace_dict=None):\n pattern = re.compile('|'.join(DELETE))\n text = re.sub(pattern, '', text)\n return text\n\n\ndef read_txt(file_path, encoding):\n with open(os.path.join(D... | [
6,
7,
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_1|>
<|reserved_special_token_0|>
class Migration(migrations.Migration):
dependencies = [(... | flexible | {
"blob_id": "316a34bbc2b3e3c818ef837f51bc1f86863ea59a",
"index": 2473,
"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 = [('pancar', '0... | [
0,
1,
2,
3,
4
] |
class Figure:
area = 0
def __new__(cls, *args):
if cls is Figure:
return None
return object.__new__(cls)
def add_area(self, other):
if isinstance(other, Figure):
return self.area + other.area
else:
raise ValueError("Should pass Figure as... | normal | {
"blob_id": "ceab21e41adf171e99e6c3c8541c418d82db6168",
"index": 3272,
"step-1": "class Figure:\n <mask token>\n <mask token>\n <mask token>\n",
"step-2": "class Figure:\n <mask token>\n\n def __new__(cls, *args):\n if cls is Figure:\n return None\n return object.__new__... | [
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_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class Migration(migrations.... | flexible | {
"blob_id": "d8df9a9f95a1d4a9aa34987ec1244cc6c0c7c610",
"index": 8048,
"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
] |
from django.apps import AppConfig
class ActivityConfig(AppConfig):
name = 'apps.activity'
| normal | {
"blob_id": "2a69aa0cd9d0e39ad82d6a354e956bdad0648797",
"index": 2252,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass ActivityConfig(AppConfig):\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass ActivityConfig(AppConfig):\n name = 'apps.activity'\n",
"step-4": "from django.apps im... | [
0,
1,
2,
3
] |
from subprocess import check_output
import json
import sys
import time
import os
import numpy as np
from hutch_python.utils import safe_load
from ophyd import EpicsSignalRO
from ophyd import EpicsSignal
from bluesky import RunEngine
from bluesky.plans import scan
from bluesky.plans import list_scan
from bluesky.plan_... | normal | {
"blob_id": "4473971552aa48236b19dec7e7c1ea1e622d5795",
"index": 7347,
"step-1": "<mask token>\n\n\nclass User:\n <mask token>\n <mask token>\n <mask token>\n\n def get_dscan(self, motor, start, end, nsteps, nEvents, record=True):\n daq.configure(nEvents, record=record)\n currPos = moto... | [
12,
21,
22,
24,
26
] |
import time
import itertools
import re
from pyspark import SparkContext, SparkConf
from pyspark.rdd import portable_hash
from datetime import datetime
APP_NAME = 'in-shuffle-secondary-sort-compute'
INPUT_FILE = '/data/Taxi_Trips.csv.xsmall'
OUTPUT_DIR = '/data/output-in-shuffle-sort-compute-{timestamp}.txt'
COMMA_DE... | normal | {
"blob_id": "05d6f15102be41937febeb63ed66a77d3b0a678e",
"index": 8517,
"step-1": "<mask token>\n\n\ndef key_func(entry):\n return entry[0], entry[1]\n\n\ndef make_pair(entry):\n key = entry[FIRST_KEY], entry[SECOND_KEY]\n return key, entry\n\n\ndef unpair(entry):\n return entry[0][0], entry[1][0], en... | [
5,
6,
8,
10,
11
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def password_validation(password):
return bool(re.search(
'^(?=.*[a-z])(?=.*[A-Z])(?=.*\\d)[a-zA-Z\\d]{6,}$', password))
<|reserved_special_token_1|>
import re
def password_validation(password):
return bool(... | flexible | {
"blob_id": "d44c76ff7e94bea6e03324c45d139602c724c7be",
"index": 2539,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef password_validation(password):\n return bool(re.search(\n '^(?=.*[a-z])(?=.*[A-Z])(?=.*\\\\d)[a-zA-Z\\\\d]{6,}$', password))\n",
"step-3": "import re\n\n\ndef password... | [
0,
1,
2,
3
] |
import math
from os.path import join, relpath, dirname
from typing import List, Tuple
from common import read_input
convert_output = List[str]
class GridWalker:
def __init__(self):
self._current_pos = [0, 0]
self._heading = math.pi / 2
@property
def position(self):
return self.... | normal | {
"blob_id": "907f0564d574f197c25b05a79569a8b6f260a8cd",
"index": 7817,
"step-1": "<mask token>\n\n\nclass GridWalker:\n\n def __init__(self):\n self._current_pos = [0, 0]\n self._heading = math.pi / 2\n\n @property\n def position(self):\n return self._current_pos\n\n @property\n ... | [
8,
9,
11,
13,
14
] |
"""
Created on 01/10/18.
Author: morgan
Copyright defined in text_classification/LICENSE.txt
"""
import torch
import torch.nn as nn
from torch.autograd import Variable
import torch.nn.functional as F
class RNNClassifier(nn.Module):
def __init__(self, batch_size, num_classes, hidden_size, vocab_size, embed_size, w... | normal | {
"blob_id": "41417e3ce52edf6aee432886bbab6d16ec5bc88d",
"index": 164,
"step-1": "<mask token>\n\n\nclass RNNClassifier(nn.Module):\n <mask token>\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass RNNClassifier(nn.Module):\n\n def __init__(self, batch_size, num_classes, hidden_size, vocab_size,\n ... | [
1,
2,
3,
4,
5
] |
from matasano import *
ec = EC_M(233970423115425145524320034830162017933,534,1,4,order=233970423115425145498902418297807005944)
assert(ec.scale(4,ec.order) == 0)
aPriv = randint(1,ec.order-1)
aPub = ec.scale(4,aPriv)
print("Factoring...")
twist_ord = 2*ec.prime+2 - ec.order
factors = []
x = twist_ord
for... | normal | {
"blob_id": "b5275fc068526063fd8baf13210052971b05503f",
"index": 585,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nassert ec.scale(4, ec.order) == 0\n<mask token>\nprint('Factoring...')\n<mask token>\nfor i in range(2, 2 ** 24):\n if x % i == 0:\n if x % (i * i) != 0:\n factors.app... | [
0,
1,
2,
3,
4
] |
# -*- coding:utf-8 -*-
from src.Client.Conf.config import *
class SaveConfigFile():
"""
该类负责保存配置文件，属于实际操作类
"""
def __init__(self, fileName='../conf/main.ini'):
self.config = ConfigParser.ConfigParser()
self.fileName = fileName
def saveConfigFile(self, configMainName, configSubN... | normal | {
"blob_id": "b61bb47f3e059c607447cea92ce1712825735822",
"index": 2373,
"step-1": "<mask token>\n\n\nclass SaveConfigFile:\n <mask token>\n\n def __init__(self, fileName='../conf/main.ini'):\n self.config = ConfigParser.ConfigParser()\n self.fileName = fileName\n\n def saveConfigFile(self, ... | [
3,
4,
5,
6,
7
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
def adder(x, y):
return x + y
<|reserved_special_token_0|>
<|reserved_special_token_1|>
def adder(x, y):
return x + y
adder('one', 'two')
adder([3, 4], [9, 0, 33])
adder(4.3, 3.5)
| flexible | {
"blob_id": "1ee5139cb1613977f1c85619404b3dcc6e996382",
"index": 5364,
"step-1": "<mask token>\n",
"step-2": "def adder(x, y):\n return x + y\n\n\n<mask token>\n",
"step-3": "def adder(x, y):\n return x + y\n\n\nadder('one', 'two')\nadder([3, 4], [9, 0, 33])\nadder(4.3, 3.5)\n",
"step-4": null,
"st... | [
0,
1,
2
] |
# -*- coding: utf-8 -*-
# Generated by Django 1.11.16 on 2018-11-23 19:31
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('mocbackend', '0034_auto_20181122_1903'),
]
operations = [
migrations.AddFi... | normal | {
"blob_id": "36bdd6f7c130914856ddf495c50f928405c345aa",
"index": 6646,
"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 = [('mocbackend'... | [
0,
1,
2,
3,
4
] |
"""Restaurant"""
def main():
"""Restaurant"""
moeny = int(input())
service = moeny*0.1
vat = moeny*0.07
print("Service Charge : %.2f Baht" %service)
print("VAT : %.2f Baht" %vat)
print("Total : %.2f Baht" %(moeny+vat+service))
main()
| normal | {
"blob_id": "ae6cbb181e024b8c0b222d14120b910919f8cc81",
"index": 3811,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef main():\n \"\"\"Restaurant\"\"\"\n moeny = int(input())\n service = moeny * 0.1\n vat = moeny * 0.07\n print('Service Charge : %.2f Baht' % service)\n print('VAT... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
class RemovedResourceWarning(OpenStackDeprecationWarning):
<|reserved_special_token_0|>
class RemovedFieldWarning(OpenStackDeprecationWarning):
"""Indicates that a field has been removed in newer API versions and should
not be used.
"""
class LegacyAPIWarning(OpenStack... | flexible | {
"blob_id": "6339a1a06319a748030b3411c7a8d00f36336e65",
"index": 9778,
"step-1": "<mask token>\n\n\nclass RemovedResourceWarning(OpenStackDeprecationWarning):\n <mask token>\n\n\nclass RemovedFieldWarning(OpenStackDeprecationWarning):\n \"\"\"Indicates that a field has been removed in newer API versions an... | [
11,
12,
13,
14,
15
] |
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