code stringlengths 13 6.09M | order_type stringclasses 2
values | original_example dict | step_ids listlengths 1 5 |
|---|---|---|---|
class Node:
def __init__(self,data):
self.data = data
self.next = None
def Add(Head,data):
Temp = Head
while(Temp.next != None):
Temp = Temp.next
Temp.next = Node(data)
# print(Temp.data)
def create(data):
Head = Node(data)
return Head
def printLL(Head):
Temp ... | normal | {
"blob_id": "ff137b51ea5b8c21e335a38a3d307a3302921245",
"index": 9993,
"step-1": "class Node:\n\n def __init__(self, data):\n self.data = data\n self.next = None\n\n\n<mask token>\n\n\ndef Reverse(Head):\n Temp = Head\n TempNext = Head.next\n while TempNext != None:\n NextSaved =... | [
3,
5,
6,
7,
8
] |
<|reserved_special_token_0|>
def Actual_Value():
global df
print('The Actual Closing Value is Displayed below')
df = data.DataReader(stockTicker, 'yahoo', '2017-01-28', '2017-02-5')
ao = df['Close']
print(str(ao))
return
<|reserved_special_token_0|>
def Forcast_Values():
global forecas... | flexible | {
"blob_id": "9c4676edbeef3748a4947f827fefa29e95674bfa",
"index": 121,
"step-1": "<mask token>\n\n\ndef Actual_Value():\n global df\n print('The Actual Closing Value is Displayed below')\n df = data.DataReader(stockTicker, 'yahoo', '2017-01-28', '2017-02-5')\n ao = df['Close']\n print(str(ao))\n ... | [
5,
12,
13,
14,
15
] |
<|reserved_special_token_0|>
class NovelsSpider(scrapy.Spider):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
def parse(self, response):
path = '/Users/qx/Documents/小说/new/'
all = response.xpath(".//div[@class='novellist']")
for oneitem... | flexible | {
"blob_id": "af668751074df6f182c7121821587270734ea5af",
"index": 1075,
"step-1": "<mask token>\n\n\nclass NovelsSpider(scrapy.Spider):\n <mask token>\n <mask token>\n <mask token>\n\n def parse(self, response):\n path = '/Users/qx/Documents/小说/new/'\n all = response.xpath(\".//div[@clas... | [
3,
4,
5,
6,
7
] |
# Generated by Django 3.0.5 on 2020-05-02 18:58
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('weatherData', '0001_initial'),
]
operations = [
migrations.AddField(
model_name='city',
name='username',
... | normal | {
"blob_id": "6b6b734c136f3c4ed5b2789ab384bab9a9ea7b58",
"index": 9368,
"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 = [('weatherData... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
def downgrade():
op.alter_column('run', 'polarion_id', type_=ty.String(1024))
op.alter_column('auto_result', 'skip', type_=ty.String(65535))
op.alter_column('auto_result', 'failure', type_=ty.String(65535))
op.alter_column('auto_result', 'comment', type_=ty.String(65535))
... | flexible | {
"blob_id": "7badb7c9f1e00dfc379468b7bd73a3f09bffe6de",
"index": 1191,
"step-1": "<mask token>\n\n\ndef downgrade():\n op.alter_column('run', 'polarion_id', type_=ty.String(1024))\n op.alter_column('auto_result', 'skip', type_=ty.String(65535))\n op.alter_column('auto_result', 'failure', type_=ty.String... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
class TreePrinter:
@addToClass(Node)
def printTree(self, indent=0):
raise Exception('printTree not defined in class ' + self.__class__.
__name__)
@addToClass(Instruction)
def printTree(self, indent=0):
print_intended(self.type, indent)
<|r... | flexible | {
"blob_id": "1084478226777b9259274e053984ac34d461198d",
"index": 42,
"step-1": "<mask token>\n\n\nclass TreePrinter:\n\n @addToClass(Node)\n def printTree(self, indent=0):\n raise Exception('printTree not defined in class ' + self.__class__.\n __name__)\n\n @addToClass(Instruction)\n ... | [
18,
21,
22,
24,
26
] |
STATUS_CHOICES = (
(-1, 'Eliminado'),
(0, 'Inactivo'),
(1, 'Activo'),
)
USERTYPES_CHOICES = ()
#-- Activation Request Values
ACTIVATION_CHOICES = (
(1, 'Activacion'),
(2, 'Solicitud Password'),
(3, 'Invitacion'),
)
#-- Activation Status Values
ACTIVATIONSTATUS_CHOICES = (
(-1, 'Expirado... | normal | {
"blob_id": "200552b638d6b1a6879b455837677b82689e0069",
"index": 5479,
"step-1": "<mask token>\n",
"step-2": "STATUS_CHOICES = (-1, 'Eliminado'), (0, 'Inactivo'), (1, 'Activo')\nUSERTYPES_CHOICES = ()\nACTIVATION_CHOICES = (1, 'Activacion'), (2, 'Solicitud Password'), (3,\n 'Invitacion')\nACTIVATIONSTATUS_C... | [
0,
1,
2
] |
import os
import random
import argparse
from vapory import *
from data import colors, object_types
class Torus(POVRayElement):
""""""
def render_scene(filename, object_type, color, location, rotation):
assert (object_type in object_types)
assert (color in colors)
color = colors[color]
size = ... | normal | {
"blob_id": "f8972067fa88e7e74e05cdcc7bdec184116dec4a",
"index": 7771,
"step-1": "<mask token>\n\n\nclass Torus(POVRayElement):\n \"\"\"\"\"\"\n\n\ndef render_scene(filename, object_type, color, location, rotation):\n assert object_type in object_types\n assert color in colors\n color = colors[color]... | [
3,
4,
5,
6,
7
] |
<|reserved_special_token_0|>
def load_setting(setting: str):
with open(SETTINGS_FILE) as f:
return json.load(f)[setting]
@lru_cache()
def get_bot_name():
return load_setting('bot_name')
@lru_cache()
def get_app_id():
return load_setting('app_id')
@lru_cache()
def get_app_hash():
return l... | flexible | {
"blob_id": "14e1af3d60efef842c72bf9b55143d0e14f3a7b8",
"index": 5897,
"step-1": "<mask token>\n\n\ndef load_setting(setting: str):\n with open(SETTINGS_FILE) as f:\n return json.load(f)[setting]\n\n\n@lru_cache()\ndef get_bot_name():\n return load_setting('bot_name')\n\n\n@lru_cache()\ndef get_app_... | [
4,
5,
6,
7,
8
] |
<|reserved_special_token_0|>
class Broker:
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
def liquidation(self, pos, price, date, commission):
"""
clean the last position
... | flexible | {
"blob_id": "ca0aedcfb997299240870649823fb872e0d9f99a",
"index": 6023,
"step-1": "<mask token>\n\n\nclass Broker:\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n def liquidation(self, pos, price, date, commission):\n \"\"\"\n clean the last position\... | [
9,
11,
12,
16,
17
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class RC165(IReg):
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class RC165(IReg):
def __init__(self):
self._header = ['REG', 'COD_PART', 'VEIC_ID', 'COD_AUT', 'NR_... | flexible | {
"blob_id": "bf73e2109f11b2214fae060bc343b01091765c2a",
"index": 2325,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass RC165(IReg):\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass RC165(IReg):\n\n def __init__(self):\n self._header = ['REG', 'COD_PART', 'VEIC_ID', 'COD_AUT',... | [
0,
1,
2,
3,
4
] |
# block-comments.py
'''
Block comments generally apply to some (or all) code that follows them, and are
indented to the same level as that code. Each line of a block comment starts
with a # and a single space (unless it is indented text inside the comment).
Paragraphs inside a block comment are separated by a line con... | normal | {
"blob_id": "83bac8176caafc5551089c4bef5c1f38e1e8d4da",
"index": 5952,
"step-1": "<mask token>\n",
"step-2": "# block-comments.py\n'''\nBlock comments generally apply to some (or all) code that follows them, and are\nindented to the same level as that code. Each line of a block comment starts\nwith a # and a s... | [
0,
1
] |
arr = []
for i in range(5):
arr.append(int(input()))
print(min(arr[0], arr[1], arr[2]) + min(arr[3], arr[4]) - 50)
| normal | {
"blob_id": "8745855d86dcdabe55f8d1622b66b3613dbfe3e1",
"index": 4015,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor i in range(5):\n arr.append(int(input()))\nprint(min(arr[0], arr[1], arr[2]) + min(arr[3], arr[4]) - 50)\n",
"step-3": "arr = []\nfor i in range(5):\n arr.append(int(input()))... | [
0,
1,
2
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
setup(name='testspace-python', version='', packages=find_packages(include=[
'testspace', 'testspace.*']), url='', license='MIT license', author=
'Jeffrey Schultz', author_email='jeffs@s2technologies.com', description
=... | flexible | {
"blob_id": "7bc2a02d85c3b1a2b7ed61dc7567d1097b63d658",
"index": 3559,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nsetup(name='testspace-python', version='', packages=find_packages(include=[\n 'testspace', 'testspace.*']), url='', license='MIT license', author=\n 'Jeffrey Schultz', author_email=... | [
0,
1,
2,
3
] |
import re # regex module
from ftplib import FTP, error_perm
from itertools import groupby
from typing import List, Tuple, Dict
import requests # HTTP requests module
from util import retry_multi, GLOBAL_TIMEOUT # from util.py
class ReleaseFile:
"""! Class representing a Released file on Nebula
`name`: str... | normal | {
"blob_id": "612b1851ba5a07a277982ed5be334392182c66ef",
"index": 4064,
"step-1": "<mask token>\n\n\nclass ReleaseFile:\n <mask token>\n <mask token>\n\n def __repr__(self):\n return repr(self.name)\n\n\nclass SourceFile:\n \"\"\"! Class represeting a source file\n\n `name`: str\n Fil... | [
8,
10,
11,
12,
14
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class Migration(migrations.Migration):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class Migration(migrations.Migration):
dependencies = [(... | flexible | {
"blob_id": "e296a5bea5465c2b84e37c7d83922adb01feab70",
"index": 9828,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass Migration(migrations.Migration):\n <mask token>\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass Migration(migrations.Migration):\n dependencies = [('blog', '000... | [
0,
1,
2,
3,
4
] |
import random
class Madlib:
'''
This class generates the madlib from word lists.
'''
def get_madlib(self):
madlib = """
Once there was a {0}. It {1} at the {2}.
Then because of its {3} it {4}. Wow! You sure are {5}!
Thanks! I {6} you very much.
"""
nouns... | normal | {
"blob_id": "2b23237e697cb4ca8f1013d7be343c70fba9541d",
"index": 6342,
"step-1": "<mask token>\n\n\nclass Madlib:\n <mask token>\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass Madlib:\n <mask token>\n\n def get_madlib(self):\n madlib = \"\"\"\n Once there was a {0}. It {1} at t... | [
1,
2,
3,
4,
5
] |
# Generated by Django 2.2.2 on 2019-07-09 20:04
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('blog', '0015_auto_20190709_1543'),
]
operations = [
migrations.CreateModel(
name='ExampleModel',
fields=[
... | normal | {
"blob_id": "d6e06a78c9a5d8184e5adf9b99cc6030c3434558",
"index": 8464,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass Migration(migrations.Migration):\n <mask token>\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass Migration(migrations.Migration):\n dependencies = [('blog', '001... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
for f in pyfiles:
contents = open(f).read()
for m in modulenames:
v1 = 'import ' + m
v2 = 'from ' + m
if v1 or v2 in contents:
contents = contents.replace(v1, 'import .' + m)
... | flexible | {
"blob_id": "d6a73365aa32c74798b6887ff46c0ed2323ed1a6",
"index": 2324,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor f in pyfiles:\n contents = open(f).read()\n for m in modulenames:\n v1 = 'import ' + m\n v2 = 'from ' + m\n if v1 or v2 in contents:\n contents =... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class DojoBookAppConfig(AppConfig):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class DojoBookAppConfig(AppConfig):
default_auto_field = 'd... | flexible | {
"blob_id": "314f6cc97f53fa5bd8bf0ec0e1e305ca6384f1a2",
"index": 1559,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass DojoBookAppConfig(AppConfig):\n <mask token>\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass DojoBookAppConfig(AppConfig):\n default_auto_field = 'django.db.mod... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def chargeable_deposit(amount, months, charge=0):
percent = get_percent(amount, months)
if not percent:
print('Нет подходящего тарифа')
total = amount
for month in range(months):
profit = total * ... | flexible | {
"blob_id": "bf9e83591f737caec3060b72d86d56faec9bb23b",
"index": 8079,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef chargeable_deposit(amount, months, charge=0):\n percent = get_percent(amount, months)\n if not percent:\n print('Нет подходящего тарифа')\n total = amount\n for... | [
0,
1,
2,
3,
4
] |
import re
import os
import base64
os.popen("tshark -r log.pcap -d 'tcp.port==57000,http' -d 'tcp.port==44322,http' -d 'tcp.port==44818,http' -Y 'data-text-lines' -Tfields -e http.file_data > request")
def evals(text):
template = "{}\['__doc__'\]\[\d+\]"
keys = map(str, range(10))
keys += ['\[\]','\(\)',"'... | normal | {
"blob_id": "c26bdc3f47aa9ac0cda0334e97bdaf3f9d56eb6c",
"index": 437,
"step-1": "import re\nimport os\nimport base64\n\nos.popen(\"tshark -r log.pcap -d 'tcp.port==57000,http' -d 'tcp.port==44322,http' -d 'tcp.port==44818,http' -Y 'data-text-lines' -Tfields -e http.file_data > request\")\n\ndef evals(text):\n ... | [
0
] |
from PIL import Image, ImageStat
import os
import shutil
# full white photo - 255.0
# full black photo - 0.0
class ImageSelection:
def __init__(self, path):
self.path = path
def brightness_check(self, image):
'''count function to set value of brightness, 0 - full black, 100 - fu... | normal | {
"blob_id": "897075810912e8360aa5cdedda3f12ce7c868263",
"index": 4547,
"step-1": "<mask token>\n\n\nclass ImageSelection:\n\n def __init__(self, path):\n self.path = path\n\n def brightness_check(self, image):\n \"\"\"count function to set value of brightness, 0 - full black, 100 - full brigh... | [
5,
6,
7,
8,
9
] |
from django.shortcuts import render
from rest_framework import viewsets
from rest_framework.response import Response
from crud.serializers import TodoListSerializer
from crud.models import TodoList
# Create your views here.
class TodoListViewSet(viewsets.ModelViewSet):
queryset = TodoList.objects.all()
seri... | normal | {
"blob_id": "2d4680b63cdd05e89673c4bd6babda7ac6ebb588",
"index": 8895,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass TodoListViewSet(viewsets.ModelViewSet):\n <mask token>\n <mask token>\n\n def delete(self, request, pk=None):\n instance = TodoList.objects.get(id=pk)\n i... | [
0,
2,
3,
4,
5
] |
from selenium import webdriver
import time
import xlwt
from JD_PhoneNo import get_phone_no
book = xlwt.Workbook(encoding="utf-8")
sheet1=book.add_sheet("Sheet 1")
browser = webdriver.Firefox()
browser.get("https://www.zomato.com/bhopal/dinner")
z_hotel_list = []
z_address_list = []
z_phone_list = []
z_rating... | normal | {
"blob_id": "96425986305171a9d23231f60b35dcbcbbd12d2d",
"index": 7995,
"step-1": "<mask token>\n\n\ndef traverse(a, b):\n temp = []\n for i in range(a, b, 1):\n a = str(i)\n button = browser.find_element_by_link_text(a)\n button.click()\n name_list = browser.find_elements_by_cla... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
from . import parsing
from . import cleaning
from .config import NATURAL_EMB_DIM
<|reserved_special_token_1|>
"""Contains functionality for tokenizing, parsing, embedding language."""
from . import parsing
from . import cleani... | flexible | {
"blob_id": "8a6c9fa67c02d69444c9c3a2e6811b982c49eb4e",
"index": 5585,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfrom . import parsing\nfrom . import cleaning\nfrom .config import NATURAL_EMB_DIM\n",
"step-3": "\"\"\"Contains functionality for tokenizing, parsing, embedding language.\"\"\"\n\nfrom... | [
0,
1,
2
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
print(num_str)
print(num_str1)
print(num_str.isdecimal())
print(num_str1.isdecimal())
print(num_str.isdigit())
print(num_str1.isdigit())
print(num_str.isnumeric())
print(num_str1.isnumeric())
print(num_str2.isnumeric())
<|reserv... | flexible | {
"blob_id": "a7be2f43c6ec8d1576ed194a75762a36089cb052",
"index": 4195,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(num_str)\nprint(num_str1)\nprint(num_str.isdecimal())\nprint(num_str1.isdecimal())\nprint(num_str.isdigit())\nprint(num_str1.isdigit())\nprint(num_str.isnumeric())\nprint(num_str1.i... | [
0,
1,
2,
3
] |
class ListNode:
def __init__(self, val: int, next=None):
self.val = val
self.next = next
def reverseKGroup(head: ListNode, k: int) -> ListNode:
prev, cur, rs, successor = None, head, head, None
def reverseK(node: ListNode, count: int) -> ListNode:
nonlocal successor
nonloc... | normal | {
"blob_id": "67904f3a29b0288a24e702f9c3ee001ebc279748",
"index": 3542,
"step-1": "class ListNode:\n <mask token>\n\n\n<mask token>\n",
"step-2": "class ListNode:\n\n def __init__(self, val: int, next=None):\n self.val = val\n self.next = next\n\n\n<mask token>\n\n\ndef print_list(head: List... | [
1,
3,
4,
5,
6
] |
# OSINT By FajarTheGGman For Google Code-in 2019©
import urllib3 as url
class GCI:
def banner():
print("[---- OSINT By FajarTheGGman ----]\n")
def main():
user = str(input("[!] Input Name Victim ? "))
init = url.PoolManager()
a = init.request("GET", "https://facebook.com/" + user)
b = init.re... | normal | {
"blob_id": "6c8180d24110045348d9c2041c0cca26fa9ea2d2",
"index": 4318,
"step-1": "<mask token>\n\n\nclass GCI:\n\n def banner():\n print('[---- OSINT By FajarTheGGman ----]\\n')\n <mask token>\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\nclass GCI:\n\n def banner():\n print('[---- ... | [
2,
4,
5,
6,
7
] |
import re
from typing import Any, Dict, List
import aiosqlite
from migri.elements import Query
from migri.interfaces import ConnectionBackend, TransactionBackend
class SQLiteConnection(ConnectionBackend):
_dialect = "sqlite"
@staticmethod
def _compile(query: Query) -> dict:
q = query.statement
... | normal | {
"blob_id": "191a57d3f13fcbe217ff6d0bd92dea163d5fb3cf",
"index": 4822,
"step-1": "<mask token>\n\n\nclass SQLiteConnection(ConnectionBackend):\n <mask token>\n <mask token>\n\n async def connect(self):\n self.db = await aiosqlite.connect(self.db_name)\n self.db.row_factory = aiosqlite.Row\... | [
3,
4,
5,
6,
7
] |
<|reserved_special_token_0|>
def run206_01():
print('Regular dict:')
d = {}
d['a'] = 'A'
d['b'] = 'B'
d['c'] = 'C'
for k, v in d.items():
print(k, v)
print('OrderedDict:')
d = OrderedDict()
d['a'] = 'A'
d['b'] = 'B'
d['c'] = 'C'
for k, v in d.items():
pr... | flexible | {
"blob_id": "4a7d8db2bc3b753ea1a12120e1ad85f31d572dc7",
"index": 4237,
"step-1": "<mask token>\n\n\ndef run206_01():\n print('Regular dict:')\n d = {}\n d['a'] = 'A'\n d['b'] = 'B'\n d['c'] = 'C'\n for k, v in d.items():\n print(k, v)\n print('OrderedDict:')\n d = OrderedDict()\n ... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class GameStats:
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class GameStats:
def __init__(self, setting):
self.setting = setting
self.ships_left = self.se... | flexible | {
"blob_id": "3ab26612111e3df59f41f5b5e0bf23398e015a8a",
"index": 1595,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass GameStats:\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass GameStats:\n\n def __init__(self, setting):\n self.setting = setting\n self.ships_left = s... | [
0,
1,
2,
3
] |
class Solution(object):
def plusOne(self, digits):
"""
:type digits: List[int]
:rtype: List[int]
"""
plus = True # In the last digit, we should add one as the quesiton requries
indexList = range(len(digits))
indexList.reverse()
for i in indexList:
... | normal | {
"blob_id": "02a228c479a6c94858f7e8ef73a7c8528def871e",
"index": 9423,
"step-1": "<mask token>\n",
"step-2": "class Solution(object):\n <mask token>\n",
"step-3": "class Solution(object):\n\n def plusOne(self, digits):\n \"\"\"\n :type digits: List[int]\n :rtype: List[int]\n ... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
class UserCreateSerializer(serializers.ModelSerializer):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
class Meta:
model = CustomUser
fields = '__al... | flexible | {
"blob_id": "b10a50ce649650542d176a2f6fb8c35c500fbc38",
"index": 3644,
"step-1": "<mask token>\n\n\nclass UserCreateSerializer(serializers.ModelSerializer):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n\n class Meta:\n model = CustomUser\n fields =... | [
7,
17,
18,
23,
26
] |
"""
Author: Eric J. Ma
Purpose: This is a set of utility variables and functions that can be used
across the PIN project.
"""
import numpy as np
from sklearn.preprocessing import StandardScaler
BACKBONE_ATOMS = ["N", "CA", "C", "O"]
AMINO_ACIDS = [
"A",
"B",
"C",
"D",
"E",
"F",
"G",
... | normal | {
"blob_id": "330df4f194deec521f7db0389f88171d9e2aac40",
"index": 2384,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nscaler.fit(np.array([v for v in ISOELECTRIC_POINTS.values()]).reshape(-1, 1))\n<mask token>\nfor k, v in ISOELECTRIC_POINTS.items():\n ISOELECTRIC_POINTS_STD[k] = scaler.transform(np.a... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
from __future__ import absolute_import
from . import utils
from . import bert_model
from . import transformer
from .utils import *
from .bert_model import *
from .transformer import *
| flexible | {
"blob_id": "6415b08795975698e8e2019cafb82561b35f8e71",
"index": 2037,
"step-1": "<mask token>\n",
"step-2": "from __future__ import absolute_import\nfrom . import utils\nfrom . import bert_model\nfrom . import transformer\nfrom .utils import *\nfrom .bert_model import *\nfrom .transformer import *\n",
"step... | [
0,
1
] |
# e.g. 8-34
from tkinter import *
from PP4E.launchmodes import PortableLauncher
import os, sys
demoModules = ['demoDlg', 'demoRadio', 'demoCheck', 'demoScale']
for demo in demoModules:
pid = os.fork()
filepath = './' + demo + '.py'
if pid == 0:
os.execvp('python3.5', (filepath, ))
root = Tk()
r... | normal | {
"blob_id": "d91dc850c293cf085e1be04b6e13e0a62cb0bcb1",
"index": 9812,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor demo in demoModules:\n pid = os.fork()\n filepath = './' + demo + '.py'\n if pid == 0:\n os.execvp('python3.5', (filepath,))\n<mask token>\nroot.title('Progress')\nLab... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class DoorTeleportActor(AreaTeleportActor):
pass
<|reserved_special_token_1|>
from pirates.teleport.AreaTeleportActor import AreaTeleportActor
class DoorTeleportActor(AreaTeleportActor):
pass
| flexible | {
"blob_id": "b679444fde7cd8eb819443922f37ee54c0f29de4",
"index": 424,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass DoorTeleportActor(AreaTeleportActor):\n pass\n",
"step-3": "from pirates.teleport.AreaTeleportActor import AreaTeleportActor\n\n\nclass DoorTeleportActor(AreaTeleportActor):... | [
0,
1,
2
] |
import os
import requests
import json
from web import *
from libs_support import *
from rss_parser import *
from database import *
class Solr_helper:
""" Ho tro He thong tu dong cap nhat du lieu - su dung post.jar de tu dong cap nhat du lieu moi vao he thong theo
tung khoang thoi gian nhat dinh """
de... | normal | {
"blob_id": "deaaf7620b9eba32149f733cd543399bdc2813a1",
"index": 6553,
"step-1": "\nimport os\nimport requests\nimport json\n\nfrom web import *\nfrom libs_support import *\nfrom rss_parser import *\nfrom database import *\n\nclass Solr_helper:\n\n \"\"\" Ho tro He thong tu dong cap nhat du lieu - su dung pos... | [
0
] |
<|reserved_special_token_0|>
class web:
def __init__(self, lnum=0, land_list=[], graph_money=GraphAL(),
graph_time=GraphAL(), graph_line=GraphAL()):
self.graph_money = graph_money
self.graph_time = graph_time
self.graph_line = graph_line
self.lnum = lnum
self.land_... | flexible | {
"blob_id": "b5ec6e0fc4239a53a882b455a113eaac4db6cef5",
"index": 2331,
"step-1": "<mask token>\n\n\nclass web:\n\n def __init__(self, lnum=0, land_list=[], graph_money=GraphAL(),\n graph_time=GraphAL(), graph_line=GraphAL()):\n self.graph_money = graph_money\n self.graph_time = graph_time... | [
15,
21,
24,
29,
32
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
from .dispatch import dispatch_expts
| flexible | {
"blob_id": "394ebfe25bbf8eaf427509f28a82a98b9b481b63",
"index": 4957,
"step-1": "<mask token>\n",
"step-2": "from .dispatch import dispatch_expts\n",
"step-3": null,
"step-4": null,
"step-5": null,
"step-ids": [
0,
1
]
} | [
0,
1
] |
def getGC(st):
n = 0
for char in st:
if char == 'C' or char == 'G':
n += 1
return n
while True:
try:
DNA = input()
ln = int(input())
maxLen = 0
subDNA = ''
for i in range(len(DNA) - ln + 1):
sub = DNA[i:i + ln]
if getG... | normal | {
"blob_id": "afe63f94c7107cf79e57f695df8543e0786a155f",
"index": 6556,
"step-1": "<mask token>\n",
"step-2": "def getGC(st):\n n = 0\n for char in st:\n if char == 'C' or char == 'G':\n n += 1\n return n\n\n\n<mask token>\n",
"step-3": "def getGC(st):\n n = 0\n for char in st... | [
0,
1,
2
] |
from django.contrib import admin
# Register your models here.
from registration.models import FbAuth
class AllFieldsAdmin(admin.ModelAdmin):
"""
A model admin that displays all field in admin excpet Many to many and pk field
"""
def __init__(self, model, admin_site):
self.list_display = [fi... | normal | {
"blob_id": "821afa85eb783b4bf1018800f598a3294c4cbcfb",
"index": 9532,
"step-1": "<mask token>\n\n\nclass AllFieldsAdmin(admin.ModelAdmin):\n <mask token>\n\n def __init__(self, model, admin_site):\n self.list_display = [field.name for field in model._meta.fields if \n field.name not in [... | [
2,
3,
4,
5,
6
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
for _ in range(N - 1):
a, b = map(int, input().split())
E.append((a, b))
adj_list[a].append(b)
adj_list[b].append(a)
<|reserved_special_token_0|>
while q:
v = q.popleft()
V_number[v - 1] = C[i]
i += 1
... | flexible | {
"blob_id": "b93f6c3192f8dd58b96dfdc6ea2b17e12cce34d0",
"index": 9752,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor _ in range(N - 1):\n a, b = map(int, input().split())\n E.append((a, b))\n adj_list[a].append(b)\n adj_list[b].append(a)\n<mask token>\nwhile q:\n v = q.popleft()\n ... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
class CheckoutIntegrationTest(BaseCheckoutTest):
<|reserved_special_token_0|>
def test_checkout_process(self):
"""Full checkout process using minimal api calls"""
product = self.create_product()
res = self.do_get_basket()
self.assertEqual(res.statu... | flexible | {
"blob_id": "9155b3eed8ac79b94a033801dbf142392b50720b",
"index": 5123,
"step-1": "<mask token>\n\n\nclass CheckoutIntegrationTest(BaseCheckoutTest):\n <mask token>\n\n def test_checkout_process(self):\n \"\"\"Full checkout process using minimal api calls\"\"\"\n product = self.create_product(... | [
19,
25,
29,
32,
33
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def AverageLeftRight(EyeData):
for eyes in EyeData:
eyes['avg_x'] = (eyes['left_x'] + eyes['right_x']) / 2
eyes['avg_y'] = (eyes['left_y'] + eyes['right_y']) / 2
eyes['avg_x'].loc[eyes.right_x < -100]... | flexible | {
"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|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
print(catogory)
print(data)
print(catogory.dot(data))
print(data.T.dot(catogory))
<|reserved_special_token_1|>
<|reserved_special_token_0|>
catogory = np.array([50, 30, 40, 20])
data = np.array([[20, 50, 10, 15, 20], [30, 40, 2... | flexible | {
"blob_id": "e4b49faaad648c6e85274abb18f994083a74013d",
"index": 7160,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(catogory)\nprint(data)\nprint(catogory.dot(data))\nprint(data.T.dot(catogory))\n",
"step-3": "<mask token>\ncatogory = np.array([50, 30, 40, 20])\ndata = np.array([[20, 50, 10, 15... | [
0,
1,
2,
3
] |
# -*- coding: utf-8 -*-
from rest_framework import serializers
from django.contrib.auth.models import User
from core.models import Detalhe, Viagem, Hospital, Equipamento, Caixa
class UserSerializer(serializers.HyperlinkedModelSerializer):
class Meta:
model = User
fields = '__all__'
class CaixaSeri... | normal | {
"blob_id": "b5c68211cfa255e47ee316dc5b0627719eacae78",
"index": 8504,
"step-1": "<mask token>\n\n\nclass ViagemSerializer(serializers.ModelSerializer):\n detalhes = DetalheSerializer(many=True, read_only=True)\n caixa = CaixaSerializer(read_only=True)\n localPartida = HospitalSerializer(read_only=True)... | [
2,
6,
7,
8,
9
] |
num_str = "1"
num_str1 = "\u00b2"
num_str2 = "一千零一"
# 判断字符串是否只包含数字
# 1.三种方法都不能判断小数
# 2.isdigit 和 isnumeric 比 isdecimal 强大一些，后者只能判断正常数字，前两者可以判断带有数字的符号，如平方
# isnumeric 还可以判断中文数字
print(num_str)
print(num_str1)
print(num_str.isdecimal())
print(num_str1.isdecimal())
print(num_str.isdigit())
print(num_str1.isdigit())
print(n... | normal | {
"blob_id": "a7be2f43c6ec8d1576ed194a75762a36089cb052",
"index": 4195,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(num_str)\nprint(num_str1)\nprint(num_str.isdecimal())\nprint(num_str1.isdecimal())\nprint(num_str.isdigit())\nprint(num_str1.isdigit())\nprint(num_str.isnumeric())\nprint(num_str1.i... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
class BillListSerializer(BillBaseSerializer):
id = serializers.SerializerMethodField()
def get_id(self, object):
return object.key.id()
class BillCreateSerializer(BillBaseSerializer):
line_items = serializers.JSONField(default=None)
company = serializers.CharFie... | flexible | {
"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
] |
# -*- coding: utf-8 -*-
"""
Animation practical output
The code that follows builds on the "Communications.py" file
Additional code that follows has in part been modified from that of
https://www.geog.leeds.ac.uk/courses/computing/practicals/python/agent-framework/part8/index.html
https://www.geog.leeds.ac.uk/courses... | normal | {
"blob_id": "4ea266d4f4c18efbba4204d7301652f8966c18a5",
"index": 9724,
"step-1": "<mask token>\n\n\ndef gen_function(b=[0]):\n a = 0\n global carry_on\n while (a < 100) & carry_on:\n yield a\n a = a + 1\n\n\n<mask token>\n",
"step-2": "<mask token>\nwith open('in.txt', newline='') as ras... | [
1,
3,
4,
5,
6
] |
from .lasot import Lasot
from .got10k import Got10k
from .tracking_net import TrackingNet
from .imagenetvid import ImagenetVID
from .imagenetdet import ImagenetDET
from .coco_seq import MSCOCOSeq
from .vot import VOT
from .youtube_vos import YoutubeVOS
from .youtube_bb import YoutubeBB
| normal | {
"blob_id": "e12ca2c4592a629ce78cae7211fedaf02352a603",
"index": 4700,
"step-1": "<mask token>\n",
"step-2": "from .lasot import Lasot\nfrom .got10k import Got10k\nfrom .tracking_net import TrackingNet\nfrom .imagenetvid import ImagenetVID\nfrom .imagenetdet import ImagenetDET\nfrom .coco_seq import MSCOCOSeq\... | [
0,
1
] |
<|reserved_special_token_0|>
def eff_param_string():
"""
The parametrization of the efficiencies from AN-2015-11 as a string that can
be used in a TF1 constructor.
p0 * (1 - p1 * (Erf(pT + p2) - p1 / alpha * (pT - p3 * (pT^2 - p3 / beta * pT^3))))
"""
return (
'[0] * (1 - [1] * (TMath... | flexible | {
"blob_id": "fd450b5454b65ed69b411028788c587f9674760c",
"index": 966,
"step-1": "<mask token>\n\n\ndef eff_param_string():\n \"\"\"\n The parametrization of the efficiencies from AN-2015-11 as a string that can\n be used in a TF1 constructor.\n\n p0 * (1 - p1 * (Erf(pT + p2) - p1 / alpha * (pT - p3 *... | [
8,
9,
10,
12,
14
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
# coding=utf-8
"""
author = jamon
""" | flexible | {
"blob_id": "00790b9d2648d19a37d1d1864e7fdeab0f59f764",
"index": 4266,
"step-1": "<mask token>\n",
"step-2": "# coding=utf-8\n\"\"\"\nauthor = jamon\n\"\"\"",
"step-3": null,
"step-4": null,
"step-5": null,
"step-ids": [
0,
1
]
} | [
0,
1
] |
# -*- encoding: utf-8 -*-
"""
views: vistas sistema recomendador
@author Camilo Ramírez
@contact camilolinchis@gmail.com
camilortte@hotmail.com
@camilortte on Twitter
@copyright Copyright 2014-2015, RecomendadorUD
@license GPL
@date 2014-10... | normal | {
"blob_id": "c6cbd4d18363f00b73fac873ba45d6063bee7e64",
"index": 3074,
"step-1": "# -*- encoding: utf-8 -*-\n\"\"\"\n \n views: vistas sistema recomendador\n\n @author Camilo Ramírez\n @contact camilolinchis@gmail.com \n camilortte@hotmail.com\n @camilortte on Twi... | [
0
] |
# Definition for a binary tree node.
# class TreeNode:
# def __init__(self, val=0, left=None, right=None):
# self.val = val
# self.left = left
# self.right = right
class Solution:
def isBalanced(self, root: TreeNode) -> bool:
self.mem = dict()
if root is None:
... | normal | {
"blob_id": "9e98a361ef20049cba488b86ad06eb92b3d29d11",
"index": 3584,
"step-1": "<mask token>\n",
"step-2": "class Solution:\n <mask token>\n <mask token>\n",
"step-3": "class Solution:\n\n def isBalanced(self, root: TreeNode) ->bool:\n self.mem = dict()\n if root is None:\n ... | [
0,
1,
2,
3,
4
] |
import wikipedia
input_ = input("Type in your question ")
print(wikipedia.summary(input_))
| normal | {
"blob_id": "5eb5388ffe7a7c880d8fcfaa137c2c9a133a0636",
"index": 713,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(wikipedia.summary(input_))\n",
"step-3": "<mask token>\ninput_ = input('Type in your question ')\nprint(wikipedia.summary(input_))\n",
"step-4": "import wikipedia\ninput_ = input... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
for val in theFile.read().split():
temp.append(int(val))
theFile.close()
<|reserved_special_token_0|>
for i in range(n):
for j in range(n):
arr[i, j] = temp[k]
k = k + 1
<|reserved_special_token_0|>
for i i... | flexible | {
"blob_id": "aa801bc8398cdf69a15d04188dd8429e4624150e",
"index": 5574,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor val in theFile.read().split():\n temp.append(int(val))\ntheFile.close()\n<mask token>\nfor i in range(n):\n for j in range(n):\n arr[i, j] = temp[k]\n k = k + 1\n<... | [
0,
1,
2,
3,
4
] |
#!/usr/bin/python3.8
# -*- coding: utf-8 -*-
__version__ = "0.2.2"
__author__ = 'Anton Vanke <f@hpu.edu.cn>'
class Gobang:
"""
五子棋
=====
一个简单的五子棋类, 可以在控制台下五子棋. 提供以下函数 :
new(): 新局
printcb(): 打印棋盘
player(): 获取当前应落子 ID （轮走方）
sortstep(): 处理总步表
loadstep(): 将 step 步表... | normal | {
"blob_id": "e0394bfed51cd0af9bca06867e9b556b226f37d1",
"index": 1720,
"step-1": "<mask token>\n\n\nclass Gobang:\n <mask token>\n <mask token>\n\n def new(self):\n \"\"\"新局\"\"\"\n self.__init__()\n\n def printcb(self):\n \"\"\"打印棋盘\"\"\"\n print('\\x1b[7;32;40m+ ', end... | [
8,
11,
14,
15,
16
] |
# -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'FormHello.ui'
#
# Created by: PyQt5 UI code generator 5.15.4
#
# WARNING: Any manual changes made to this file will be lost when pyuic5 is
# run again. Do not edit this file unless you know what you are doing.
from PyQt5 import QtCore, Qt... | normal | {
"blob_id": "fc20a2bf09d510892a4d144fbbd2cb2012c3ad98",
"index": 8579,
"step-1": "<mask token>\n\n\nclass Ui_FormHello(object):\n <mask token>\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass Ui_FormHello(object):\n\n def setupUi(self, FormHello):\n FormHello.setObjectName('FormHello')\n ... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
plt.scatter(x_int, y_int, c=y_int, cmap=plt.cm.Blues, s=40)
plt.show()
<|reserved_special_token_1|>
<|reserved_special_token_0|>
x_int = list(range(1, 5001))
y_int = [(i ** 3) for i in x_int]
plt.scatter(x_int, y_int, c=y_int, ... | flexible | {
"blob_id": "40e2b695d8aaaa82cb90694b85d12061b4e6eca8",
"index": 8034,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nplt.scatter(x_int, y_int, c=y_int, cmap=plt.cm.Blues, s=40)\nplt.show()\n",
"step-3": "<mask token>\nx_int = list(range(1, 5001))\ny_int = [(i ** 3) for i in x_int]\nplt.scatter(x_int, ... | [
0,
1,
2,
3,
4
] |
# leetcode 718 最长重复子数组
# 给两个整数数组 A 和 B ，返回两个数组中公共的、长度最长的子数组的长度。
#
# 示例 1:
# 输入:
# A: [1,2,3,2,1]
# B: [3,2,1,4,7]
# 输出: 3
# 解释:
# 长度最长的公共子数组是 [3, 2, 1]。
#
# 说明:
# 1 <= len(A), len(B) <= 1000
# 0 <= A[i], B[i] < 100
class Solution:
def findLength(self, A: [int], B: [int])->int:
"""
动态规划, 维护... | normal | {
"blob_id": "b8219c21dc2cdd497d3de48c59c146a1fd1509ec",
"index": 6673,
"step-1": "class Solution:\n <mask token>\n\n\n<mask token>\n",
"step-2": "class Solution:\n\n def findLength(self, A: [int], B: [int]) ->int:\n \"\"\"\n 动态规划, 维护一个公共子串长度表DP\n DP[i][j]表示A中以第i个元素，B中以第j个元素结尾的公共子串长度\... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
class Ui_Tab(object):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class Ui_Tab(object):
<|reserved_special_token_0|>
def retranslateUi(self, Tab):
_translate = QtCore.QCoreApplication.tra... | flexible | {
"blob_id": "ef85f94282bfd7c9491c4e28bab61aaab5c792a5",
"index": 232,
"step-1": "<mask token>\n\n\nclass Ui_Tab(object):\n <mask token>\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass Ui_Tab(object):\n <mask token>\n\n def retranslateUi(self, Tab):\n _translate = QtCore.QCoreApplicatio... | [
1,
2,
3,
4,
5
] |
# -*- coding: utf-8 -*-
# Generated by Django 1.11.10 on 2018-08-03 10:25
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Proce... | normal | {
"blob_id": "f15ce7cec032ace65604771fa56e3d9969c98209",
"index": 1964,
"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
] |
<|reserved_special_token_0|>
class Project(models.Model):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_... | flexible | {
"blob_id": "ac1d38f550e548dff6ba226dbfc3dd1e5ff876a8",
"index": 5563,
"step-1": "<mask token>\n\n\nclass Project(models.Model):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n ... | [
3,
4,
5,
6,
7
] |
<|reserved_special_token_0|>
class ConfusionMatrix(Metric):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
def draw(self, size=400):
index_label = 'Predicted'
column_label = 'Actual'
matrix = self.generate_data()
min_val, max_val = matrix.Value.min(), matrix.Val... | flexible | {
"blob_id": "9a2002b5ff0fe41f2b5b568f4c278d4376bf4fb1",
"index": 6117,
"step-1": "<mask token>\n\n\nclass ConfusionMatrix(Metric):\n <mask token>\n <mask token>\n\n def draw(self, size=400):\n index_label = 'Predicted'\n column_label = 'Actual'\n matrix = self.generate_data()\n ... | [
2,
3,
4,
5,
6
] |
<|reserved_special_token_0|>
def install_mysql(package='mysql-server', sources=None, keys=None):
if not sources:
sources = []
if not keys:
keys = []
from subprocess import Popen, PIPE
for source in sources:
add_source(source)
if sources:
apt_update()
with open('... | flexible | {
"blob_id": "083a9555f8db586fbb065d59e4e333bb16ee3d2a",
"index": 5521,
"step-1": "<mask token>\n\n\ndef install_mysql(package='mysql-server', sources=None, keys=None):\n if not sources:\n sources = []\n if not keys:\n keys = []\n from subprocess import Popen, PIPE\n for source in source... | [
9,
10,
11,
13,
14
] |
import sys
from Node import Node
from PriorityQueue import PriorityQueue
def Print(text):
if text is None or len(text) == 0:
print('invalid text.')
print('--------------------------------------------------------------')
return
text_set = set()
for i in text:
t... | normal | {
"blob_id": "bcdd36b534fd3551de9cb40efc11581f4d95a002",
"index": 9717,
"step-1": "<mask token>\n\n\ndef Print(text):\n if text is None or len(text) == 0:\n print('invalid text.')\n print('--------------------------------------------------------------')\n return\n text_set = set()\n ... | [
5,
7,
8,
9,
10
] |
# -*- coding: utf-8 -*-
"""Test custom node separator."""
import six
from helper import assert_raises, eq_
import anytree as at
class MyNode(at.Node):
separator = "|"
def test_render():
"""Render string cast."""
root = MyNode("root")
s0 = MyNode("sub0", parent=root)
MyNode("sub0B", parent=s0)... | normal | {
"blob_id": "a430b4629ee06dbfb267f839599383624e37451e",
"index": 4582,
"step-1": "<mask token>\n\n\nclass MyNode(at.Node):\n separator = '|'\n\n\ndef test_render():\n \"\"\"Render string cast.\"\"\"\n root = MyNode('root')\n s0 = MyNode('sub0', parent=root)\n MyNode('sub0B', parent=s0)\n MyNode... | [
3,
4,
5,
6,
7
] |
<|reserved_special_token_0|>
def log_utility(curr_dr):
"""
More data rate increases the utility following a log function: High initial increase, then flattens.
:param curr_dr: Current data rate
:param factor: Factor to multiply the log function with
:param add: Add to current data rate before pas... | flexible | {
"blob_id": "e3de072d6bce2ecc105306c06b9a9aa0362130ff",
"index": 6234,
"step-1": "<mask token>\n\n\ndef log_utility(curr_dr):\n \"\"\"\n More data rate increases the utility following a log function: High initial increase, then flattens.\n\n :param curr_dr: Current data rate\n :param factor: Factor t... | [
1,
2,
3,
4,
5
] |
import paho.mqtt.client as paho
import RPi.GPIO as GPIO
import json, time, math
import clearblade
from clearblade import auth
from clearblade import Client
from urlparse import urlparse
#Fill init values
systemKey = ______
secretKey = ______
userName = _______
userPW = _______
edgeIP = "http://_______:9000"
auth = au... | normal | {
"blob_id": "299d13fbcdb75673026db1e3a0352c8b19d453c1",
"index": 6314,
"step-1": "import paho.mqtt.client as paho\nimport RPi.GPIO as GPIO\nimport json, time, math\nimport clearblade\nfrom clearblade import auth\nfrom clearblade import Client\nfrom urlparse import urlparse\n\n#Fill init values\nsystemKey = _____... | [
0
] |
# -*- coding:utf-8 -*-
from flask import redirect, url_for, render_template
from flask.globals import request, session
from flask_admin import BaseView, expose
from util import navigator, common
class Billings(BaseView):
@expose('/')
def index(self):
return redirect(url_for('.billingHistory'))
... | normal | {
"blob_id": "a9344151a997842972aa68c417a77b3ca80e6cfa",
"index": 3174,
"step-1": "<mask token>\n\n\nclass Billings(BaseView):\n\n @expose('/')\n def index(self):\n return redirect(url_for('.billingHistory'))\n <mask token>\n <mask token>\n <mask token>\n\n @expose('/billingsDetail')\n ... | [
3,
5,
6,
7,
8
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
print('[')
sys.stdout.close()
for name in names:
url = ('https://newsapi.org/v2/everything?sources=' + name +
'&pageSize=100&language=en&from=2018-04-01&to=2018-04-01&apiKey=c0456841cb6a4dc794e3ec64e86b7e6e'
)
... | flexible | {
"blob_id": "590baf17d9fdad9f52869fa354112d3aa5f7d5f0",
"index": 8943,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint('[')\nsys.stdout.close()\nfor name in names:\n url = ('https://newsapi.org/v2/everything?sources=' + name +\n '&pageSize=100&language=en&from=2018-04-01&to=2018-04-01&apiK... | [
0,
1,
2,
3,
4
] |
#!/usr/bin/env python
###############################################################################
# \file
#
# $Id:$
#
# Copyright (C) Brno University of Technology
#
# This file is part of software developed by Robo@FIT group.
#
# Author: Tomas Lokaj
# Supervised by: Michal Spanel (spanel@fit.vutbr.cz)
# Date: 12/... | normal | {
"blob_id": "3bf1b4cfce55820605653d9dc57bab839f2dea55",
"index": 5864,
"step-1": "#!/usr/bin/env python\n###############################################################################\n# \\file\n#\n# $Id:$\n#\n# Copyright (C) Brno University of Technology\n#\n# This file is part of software developed by Robo@FI... | [
0
] |
<|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": "6285d1665bacbff746f44f42ce65981f937fff64",
"index": 4189,
"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
] |
<|reserved_special_token_0|>
def getCollapsedFastqDataframe(file):
df = pd.read_table(file, header=None, delim_whitespace=True)
df = df.dropna(axis=1, how='all')
sample = file.split('/')
sample = sample[len(sample) - 1]
sample = sample.split('.')[0]
df.columns = ['READS', 'SEQUENCE']
retur... | flexible | {
"blob_id": "ddabceb223f4e457a0f69af5abf793ae72e5f432",
"index": 1465,
"step-1": "<mask token>\n\n\ndef getCollapsedFastqDataframe(file):\n df = pd.read_table(file, header=None, delim_whitespace=True)\n df = df.dropna(axis=1, how='all')\n sample = file.split('/')\n sample = sample[len(sample) - 1]\n ... | [
2,
3,
4,
5,
6
] |
import time
import json
from threading import Thread
try:
with open('file.json') as f:
name = json.load(f)
except:
f = open("file.json", "w+")
name = {}
def create(k, v, t='0'):
if k in name:
print("ERROR:The data already exists")
else:
if k.isalpha():
... | normal | {
"blob_id": "430dff54da986df4e3a68018d930735c757d49d0",
"index": 6794,
"step-1": "<mask token>\n\n\ndef create(k, v, t='0'):\n if k in name:\n print('ERROR:The data already exists')\n elif k.isalpha():\n if v.isnumeric() and t.isnumeric():\n v = int(v)\n t = int(t)\n ... | [
2,
3,
4,
5,
6
] |
"""
util - other functions
"""
import torch
import numpy as np
from common_labelme import Config
from torch.autograd import Variable
I = torch.FloatTensor(np.eye(Config.batch_size),)
E = torch.FloatTensor(np.ones((Config.batch_size, Config.batch_size)))
normalize_1 = Config.batch_size
normalize_2 = Config.batch_size *... | normal | {
"blob_id": "be9179b33991ba743e6e6b7d5dd4dc85ffc09fc3",
"index": 6331,
"step-1": "<mask token>\n\n\ndef mig_loss_function(output1, output2, p):\n new_output = output1 / p\n m = new_output @ output2.transpose(1, 0)\n noise = torch.rand(1) * 0.0001\n m1 = torch.log(m * I + I * noise + E - I)\n m2 = ... | [
10,
11,
12,
14,
15
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
for i in doc_set:
raw = i.lower()
tokens = tokenizer.tokenize(raw)
stopped_tokens = [i for i in tokens if not i in en_stop]
stemmed_tokens = [p_stemmer.stem(i) for i in stopped_tokens]
texts.append(stemmed_toke... | flexible | {
"blob_id": "3035ac8044b5629d0b5de7934e46890ad36ed551",
"index": 7798,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor i in doc_set:\n raw = i.lower()\n tokens = tokenizer.tokenize(raw)\n stopped_tokens = [i for i in tokens if not i in en_stop]\n stemmed_tokens = [p_stemmer.stem(i) for i i... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
@pytest.fixture
def home_page(getBrowser):
aHome = HomePage(getBrowser)
return aHome
@pytest.fixture
def overall_page(getBrowser):
aOverall = OverallPage(getBrowser)
return aOverall
@pytest.fixture
def page_component(getBrowser):
aPage = PageComponent(getBrowser)
... | flexible | {
"blob_id": "2809ed3a5ea1e527609e169bca1440e0db2761b9",
"index": 8408,
"step-1": "<mask token>\n\n\n@pytest.fixture\ndef home_page(getBrowser):\n aHome = HomePage(getBrowser)\n return aHome\n\n\n@pytest.fixture\ndef overall_page(getBrowser):\n aOverall = OverallPage(getBrowser)\n return aOverall\n\n\... | [
14,
15,
17,
18,
19
] |
<|reserved_special_token_0|>
class Transcoder:
<|reserved_special_token_0|>
def __init__(self):
"""Constructor."""
logger.info('__init__:Enter')
self._token = None
self.transcript = None
self._queue = queue.Queue()
def start(self, token):
"""Start recognit... | flexible | {
"blob_id": "421b0c1871350ff541b4e56d1e18d77016884552",
"index": 5199,
"step-1": "<mask token>\n\n\nclass Transcoder:\n <mask token>\n\n def __init__(self):\n \"\"\"Constructor.\"\"\"\n logger.info('__init__:Enter')\n self._token = None\n self.transcript = None\n self._qu... | [
9,
10,
12,
14,
16
] |
#!/usr/bin/python
# -*- coding: utf-8 -*-
# Copyright: (c) 2020, Lukas Bestle <project-ansible@lukasbestle.com>
# Copyright: (c) 2017, Michael Heap <m@michaelheap.com>
# GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
from __future__ import absolute_import, division, print_f... | normal | {
"blob_id": "8b965fd91396735e0153390b4eff540d3aac3aff",
"index": 4916,
"step-1": "<mask token>\n\n\nclass Mas(object):\n\n def __init__(self, module):\n self.module = module\n self.mas_path = self.module.get_bin_path('mas')\n self._checked_signin = False\n self._installed = None\n ... | [
14,
15,
16,
17,
18
] |
# https://www.acmicpc.net/problem/2751
# n 개 수가 주어짐
# 목표 오름차순정렬
# 첫 줄 n개
# 둘째줄부터 n개의 줄에 수가 주어짐 세로로
# 출력 오름차순 정렬한 결과를 한 줄에 하나씩 출력한다?
n=int(input())
n_list=[int(input()) for _ in range(n)]
# print(n_list)
nn_list = []
# 인덱스 2개 관리
mid_idx = len(n_list) //2
left_idx = 0
right_idx = mid_idx +1
while left_idx <= mid... | normal | {
"blob_id": "fb5508b1b5aa36c4921358d6ca7f96fc7d565241",
"index": 5104,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nwhile left_idx <= mid_idx and right_idx <= n - 1:\n if n_list[left_idx] < n_list[right_idx]:\n nn_list.append(n_list[left_idx])\n left_idx += 1\n elif n_list[left_idx]... | [
0,
1,
2,
3
] |
import os
import time
from datetime import datetime
from typing import List, Tuple
from pyspark.sql import SparkSession
from Chapter01.utilities01_py.helper_python import create_session
from Chapter02.utilities02_py.domain_objects import WarcRecord
from Chapter02.utilities02_py.helper_python import extract_raw_records,... | normal | {
"blob_id": "fccdf75fe83ad8388c12a63555c4132181fd349a",
"index": 1646,
"step-1": "<mask token>\n\n\ndef fall_asleep(record: WarcRecord):\n current_uri: str = record.target_uri\n start_time = str(datetime.now())\n process_id = str(os.getpid())\n print('@@1 falling asleep in process {} at {} processing... | [
2,
3,
4,
5,
6
] |
<|reserved_special_token_0|>
class MRdegibbsInputSpec(CommandLineInputSpec):
in_file = File(desc='input DWI image', exists=True, mandatory=True,
position=0, argstr='%s')
force = traits.Bool(desc='force overwrite of output files', position=-1,
argstr='-force')
out_file = File(name_template=... | flexible | {
"blob_id": "419aee3045a0d532afa0fc314df9cdef7aab5219",
"index": 4181,
"step-1": "<mask token>\n\n\nclass MRdegibbsInputSpec(CommandLineInputSpec):\n in_file = File(desc='input DWI image', exists=True, mandatory=True,\n position=0, argstr='%s')\n force = traits.Bool(desc='force overwrite of output f... | [
20,
22,
24,
26,
29
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
print(set1)
print(set2)
print(set1.difference(set2))
print(set1 - set2)
print(set2.difference(set1))
print(set2 - set1)
print(set1)
print(set2)
print('*' * 40)
<|reserved_special_token_0|>
print(set3)
set3.difference_update(set4)
... | flexible | {
"blob_id": "faf2f5da92cf45cfedda91955688b3ca1c7c0db9",
"index": 8280,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(set1)\nprint(set2)\nprint(set1.difference(set2))\nprint(set1 - set2)\nprint(set2.difference(set1))\nprint(set2 - set1)\nprint(set1)\nprint(set2)\nprint('*' * 40)\n<mask token>\nprin... | [
0,
1,
2,
3
] |
# -*- coding: utf-8 -*-
"""
Created on Tue May 22 15:01:21 2018
@author: Weiyu_Lee
"""
import numpy as np
import pandas as pd
import pickle
import matplotlib.pyplot as plt
from datetime import datetime, timedelta
import config as conf
def get_stock_time_series(data_df, stock_id):
curr_ID_dat... | normal | {
"blob_id": "6a7e5a78f516cecf083ca3900bdaaf427bedd497",
"index": 756,
"step-1": "<mask token>\n\n\ndef get_stock_time_series(data_df, stock_id):\n curr_ID_data = data_df.loc[stock_id]\n output = np.array(curr_ID_data[0])\n for i in range(1, len(curr_ID_data.index)):\n output = np.vstack((output, ... | [
1,
2,
3,
4,
5
] |
"""
Constant types in Python.
定数上書きチェック用
"""
import os
from common import const
from datetime import timedelta
from linebot.models import (
TemplateSendMessage, CarouselTemplate, CarouselColumn, MessageAction,
QuickReplyButton, CameraAction, CameraRollAction, LocationAction
)
const.API_PROFILE_URL = 'https://... | normal | {
"blob_id": "25fcf162306b3d6d6307e703a7d829754cba2778",
"index": 2347,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nconst.API_PROFILE_URL = 'https://api.line.me/v2/profile'\nconst.API_NOTIFICATIONTOKEN_URL = (\n 'https://api.line.me/message/v3/notifier/token')\nconst.API_ACCESSTOKEN_URL = 'https://a... | [
0,
1,
2,
3
] |
# -*- coding: utf-8 -*-
from optparse import make_option
from django.core.management.base import BaseCommand, LabelCommand, CommandError
from open_coesione import utils
import sys
import logging
import csv
import os
class Command(LabelCommand):
"""
Task to extract data related to a sample of all projects.
... | normal | {
"blob_id": "f0444676d28be27ad2f0f7cdaa58a96b7facc546",
"index": 2193,
"step-1": "# -*- coding: utf-8 -*-\n\nfrom optparse import make_option\nfrom django.core.management.base import BaseCommand, LabelCommand, CommandError\nfrom open_coesione import utils\n\nimport sys\nimport logging\nimport csv\nimport os\n\nc... | [
0
] |
# Generated by Django 2.2.5 on 2019-10-28 08:45
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('user', '0001_initial'),
]
operations = [
migrations.AddField(
model_name='user',
name='my_resume',
field... | normal | {
"blob_id": "32c28c7a1e1572744387b509fc6a448554ed565e",
"index": 3445,
"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 = [('user', '000... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
import wizard
import report
| flexible | {
"blob_id": "9d07fd14825ed1e0210fa1f404939f68a3bb039c",
"index": 4762,
"step-1": "<mask token>\n",
"step-2": "import wizard\nimport report\n",
"step-3": null,
"step-4": null,
"step-5": null,
"step-ids": [
0,
1
]
} | [
0,
1
] |
# -*- coding: utf-8 -*-
from numpy import *
def loadDataSet(fileName, delim = '\t'):
fr = open(fileName)
stringArr = [line.strip().split(delim) for line in fr.readlines()]
datArr = [map(float,line) for line in stringArr]
return mat(datArr)
def pca(dataMat, topNfeat = 9999999):
meanVals = mean(dat... | normal | {
"blob_id": "5f00cd446b219203c401799ba7b6205c7f1f8e9f",
"index": 3510,
"step-1": "<mask token>\n\n\ndef replaceNanWithMean():\n dataMat = loadDataSet('secom.data.txt', '')\n numFeat = shape(dataMat)[1]\n for i in range(numFeat):\n meanVal = mean(dataMat[nonzero(~isnan(dataMat[:, i].A))[0], i])\n ... | [
1,
2,
3,
4,
5
] |
import os
import shutil
import argparse
ap = argparse.ArgumentParser()
ap.add_argument('-D', '--dir', required=False, help='Directory to sort')
args = vars(ap.parse_args())
if args['dir'] == None:
DIR = os.getcwd()
elif os.path.exists(args['dir']):
DIR = args['dir']
for file in os.listdir(DIR):
if not os.pa... | normal | {
"blob_id": "93737e4c409d0efb1ae2263cb60d4b03d9aad0d8",
"index": 247,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nap.add_argument('-D', '--dir', required=False, help='Directory to sort')\n<mask token>\nif args['dir'] == None:\n DIR = os.getcwd()\nelif os.path.exists(args['dir']):\n DIR = args['d... | [
0,
1,
2,
3
] |
#!/usr/bin/env python
import rospy
from nav_msgs.msg import Odometry
from geometry_msgs.msg import Twist
from std_srvs.srv import Empty, EmptyResponse
import tf
from math import radians, degrees, fabs
class MovementNullifier:
def __init__(self):
rospy.Subscriber("odom", Odometry, self.OdomCallback)
... | normal | {
"blob_id": "c349fa484476e3195e0932e425cbe93d7a7e5394",
"index": 1225,
"step-1": "<mask token>\n\n\nclass MovementNullifier:\n\n def __init__(self):\n rospy.Subscriber('odom', Odometry, self.OdomCallback)\n rospy.Subscriber('cmd_vel', Twist, self.TwistCallback)\n self.cmd_vel_publisher = ... | [
7,
8,
10,
11,
12
] |
#list,for replacing element we use {a[0='']}:for adding element we use {append()}
a=['somesh','aakash','sarika','datta','rudra','4mridula']
a[2] = 'nandini'
a.append('sarika')
print(a[2])
print(a)
| normal | {
"blob_id": "5c643dfce9cf7a9f774957ff4819d3be8ac4f1da",
"index": 7376,
"step-1": "<mask token>\n",
"step-2": "<mask token>\na.append('sarika')\nprint(a[2])\nprint(a)\n",
"step-3": "a = ['somesh', 'aakash', 'sarika', 'datta', 'rudra', '4mridula']\na[2] = 'nandini'\na.append('sarika')\nprint(a[2])\nprint(a)\n"... | [
0,
1,
2,
3
] |
from PyQt5.QtWidgets import *
from select_substituents_table import *
from save_selection_dialog import *
class SelectSubsDialog(QDialog):
def __init__(self, r_group):
super().__init__()
self.r_group = r_group
self.substituents = None
self.new_set_saved = False
self.setWi... | normal | {
"blob_id": "849db3a92e0544661dd465b3e7f6949f8de5633b",
"index": 5099,
"step-1": "<mask token>\n\n\nclass SelectSubsDialog(QDialog):\n <mask token>\n\n def enable_save_buttons(self):\n self.confirm_button.setEnabled(True)\n self.save_as_set_button.setEnabled(True)\n\n def get_substituents(... | [
7,
8,
9,
11,
12
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def sort(list):
for i in range(len(list) - 1):
if list[i] > list[i + 1]:
a = list[i]
list[i] = list[i + 1]
list[i + 1] = a
print(list)
<|reserved_special_token_0|>
<|re... | flexible | {
"blob_id": "219929d52b5f1a0690590e83b41d2b4f0b2b3a51",
"index": 336,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef sort(list):\n for i in range(len(list) - 1):\n if list[i] > list[i + 1]:\n a = list[i]\n list[i] = list[i + 1]\n list[i + 1] = a\n ... | [
0,
1,
2,
3
] |
#-*- coding: utf8 -*-
#Programa: 04-palindromo
#Objetivo:Un Numero Palindromo es aquel numero que se lee igual, de izquierda a derecha y viceversa
#El palindromo mas grande que se pued obtener por el producto de dos numeos de dos digitos
# es: 9009 que es igual a 91x99.
#Encuentre el pali... | normal | {
"blob_id": "45f9d5ac0fa7d9259c1d53b92c030559f3bfda89",
"index": 7161,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef multiplicaciones():\n \"\"\"\n Funcion se encargara de crear las multiplicaciones entre 999 y 100\n\n mediante dos ciclos for.\n \"\"\"\n ultimo_palindromo = 0\n ... | [
0,
1,
2,
3,
4
] |
#!/usr/bin/env conda-execute
# conda execute
# env:
# - python >=3
# - requests
# run_with: python
from configparser import NoOptionError
from configparser import SafeConfigParser
import argparse
import base64
import inspect
import ipaddress
import json
import logging
import logging.config
import o... | normal | {
"blob_id": "dd91ba13177aefacc24ef4a004acae0bffafadf0",
"index": 8889,
"step-1": "#!/usr/bin/env conda-execute\r\n\r\n# conda execute\r\n# env:\r\n# - python >=3\r\n# - requests\r\n# run_with: python\r\n\r\nfrom configparser import NoOptionError\r\nfrom configparser import SafeConfigParser\r\nimport argparse\r... | [
0
] |
from django.core.management.base import BaseCommand, CommandError
class Command(BaseCommand):
help = 'Closes the specified poll for voting'
def add_arguments(self, parser):
# Positional arguments
parser.add_argument('poll_id', nargs='+', type=int)
# Named (optional arguments)
... | normal | {
"blob_id": "b2d5b16c287dc76a088f6e20eca4a16dd0aad00f",
"index": 8797,
"step-1": "<mask token>\n\n\nclass Command(BaseCommand):\n <mask token>\n <mask token>\n\n def handle(self, *args, **options):\n s = ''\n result = 0\n tag = sum([options[i] for i in ['add', 'substract', 'multiply... | [
2,
3,
4,
5,
6
] |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.