code stringlengths 13 6.09M | order_type stringclasses 2
values | original_example dict | step_ids listlengths 1 5 |
|---|---|---|---|
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
while n != 0:
a = input().strip().split('~')
n = len(a)
if n == 1:
break
ip.append(a[0])
ma.append(a[1])
for i in ip:
ipn = i.split('.')
try:
if 1 <= int(ipn[0]) <= 126:
p = ... | flexible | {
"blob_id": "4a13f05fbbe598242f5663d27d578d2eb977e103",
"index": 6137,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nwhile n != 0:\n a = input().strip().split('~')\n n = len(a)\n if n == 1:\n break\n ip.append(a[0])\n ma.append(a[1])\nfor i in ip:\n ipn = i.split('.')\n try:\... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
def DIIS_extrapolate_F(diis_err_mats, diis_fmats):
n_diis = len(diis_err_mats)
assert n_diis == len(diis_fmats
), 'Number of Fock matrices should equal to number of error matrices'
Bmat = -np.ones([n_diis + 1, n_diis + 1])
for di in range(n_diis):
for dj in... | flexible | {
"blob_id": "ccc2a976d06e2fa6c91b25c4f95a8f0da32e9b5e",
"index": 7878,
"step-1": "<mask token>\n\n\ndef DIIS_extrapolate_F(diis_err_mats, diis_fmats):\n n_diis = len(diis_err_mats)\n assert n_diis == len(diis_fmats\n ), 'Number of Fock matrices should equal to number of error matrices'\n Bmat = -... | [
1,
2,
3,
4,
5
] |
from collections import Counter
from collections import deque
import os
def wc(argval):
bool = False
if("|" in argval):
bool = True
del argval[len(argval)-1]
hf=open("commandoutput.txt","r+")
open("commandoutput.txt","w").close()
hf=open("commandoutput.txt","w")
numoflines = 0
... | normal | {
"blob_id": "e9a4ea69a4bd9b75b8eb8092b140691aab763ae4",
"index": 2963,
"step-1": "from collections import Counter\nfrom collections import deque\nimport os\ndef wc(argval):\n bool = False\n if(\"|\" in argval):\n bool = True\n del argval[len(argval)-1] \n hf=open(\"commandoutput.txt\",\"r+\"... | [
0
] |
<|reserved_special_token_0|>
class OptionsEndPointTest(AuthenticatedAPITestCase):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
class ReceivedOptionsEndPointTest(AuthenticatedAPITestCase):
def test_should_only_get_received_options(self):
received_question, _ = MultipleChoiceQuestion... | flexible | {
"blob_id": "1152f144e17c11416f9ed56b4408f18615b16dc2",
"index": 5187,
"step-1": "<mask token>\n\n\nclass OptionsEndPointTest(AuthenticatedAPITestCase):\n <mask token>\n <mask token>\n\n\nclass ReceivedOptionsEndPointTest(AuthenticatedAPITestCase):\n\n def test_should_only_get_received_options(self):\n ... | [
7,
8,
9,
10,
12
] |
# ---------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# ---------------------------------------------------------
"""Module for mimic explainer and explainable surrogate models."""
from .mimic_explainer import MimicExplainer
__all__ = ["MimicExplainer"... | normal | {
"blob_id": "0b8cb522c531ac84d363b569a3ea4bfe47f61993",
"index": 5390,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n__all__ = ['MimicExplainer']\n",
"step-3": "<mask token>\nfrom .mimic_explainer import MimicExplainer\n__all__ = ['MimicExplainer']\n",
"step-4": "# ----------------------------------... | [
0,
1,
2,
3
] |
#1.25.2019 - shashi
#Program that accepts an array of different elements
#And moves all the integer 0s to the end of it. String 0s like "0" or "0.0" remain untouched.
def shiftZeroesToEnd(myArray): #function starts here
zeroCounter = 0 #counter to keep track of how many 0s exist.
shiftedArray = [] #array to h... | normal | {
"blob_id": "4a9c42727a28e19cf1eebcf72784b85bbae695bf",
"index": 3429,
"step-1": "<mask token>\n",
"step-2": "def shiftZeroesToEnd(myArray):\n zeroCounter = 0\n shiftedArray = []\n for item in myArray:\n if (str(item) == '0' or str(item) == '0.0') and type(item) is not str:\n zeroCou... | [
0,
1,
2,
3
] |
#!/usr/bin/env python3
"""
02-allelefreq.py <vcf file>
"""
import sys
import matplotlib.pyplot as plt
import pandas as pd
vcf = open(sys.argv[1])
maf = []
for line in vcf:
if "CHR" in line:
continue
cols = line.rstrip("\n").split()
values = float(cols[4])
maf.append(values)
fig, ax = pl... | normal | {
"blob_id": "dd79ffe3922494bcc345aec3cf76ed9efeb5185c",
"index": 3916,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor line in vcf:\n if 'CHR' in line:\n continue\n cols = line.rstrip('\\n').split()\n values = float(cols[4])\n maf.append(values)\n<mask token>\nax.hist(maf, bins=100,... | [
0,
1,
2,
3,
4
] |
import numpy as np
np.set_printoptions(precision = 1)
pi = np.pi
def convertRadian(theta):
radian = (theta) * (np.pi) / 180
return radian
def mkMatrix(radian, alpha, dis):
matrix = np.matrix([[np.cos(radian),(-1)*np.sin(radian)*np.cos(alpha), np.sin(radian)*np.sin(alpha), a1 * np.cos(radian)],
... | normal | {
"blob_id": "47c6f9767b97469fe7e97ab3b69650265a8021d8",
"index": 6257,
"step-1": "import numpy as np\n\nnp.set_printoptions(precision = 1)\npi = np.pi\n\ndef convertRadian(theta):\n radian = (theta) * (np.pi) / 180\n return radian\n\ndef mkMatrix(radian, alpha, dis):\n matrix = np.matrix([[np.cos(radian... | [
0
] |
def geo_avg(x,lat,dim=2):
'''
geo_avg: to calculate weighting average according to latitude
input:
x: variable
lat: corresponding latittude
dim: the order of the lat dimension, two cases: 2:[time,lev,lat,*lon],or 1:[time or lev, lat, *lon]
output:
result: 1d or 2d avera... | normal | {
"blob_id": "a2871585ce36888cf89c4dc5a6a7de6b212412bb",
"index": 1153,
"step-1": "def geo_avg(x, lat, dim=2):\n \"\"\"\n geo_avg: to calculate weighting average according to latitude\n input: \n x: variable \n lat: corresponding latittude\n dim: the order of the lat dimension, two c... | [
5,
6,
7,
8,
9
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
print(table)
with open('table.txt', 'a') as f:
f.write(f'{num} table is: {str(table)}')
f.write('\n')
<|reserved_special_token_1|>
num = int(input('Enter the number: '))
table = [(num * i) for i in range(1, 11)]
print(t... | flexible | {
"blob_id": "657ac500c40ddbd29f5e3736a78ed43e7d105478",
"index": 9417,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(table)\nwith open('table.txt', 'a') as f:\n f.write(f'{num} table is: {str(table)}')\n f.write('\\n')\n",
"step-3": "num = int(input('Enter the number: '))\ntable = [(num * ... | [
0,
1,
2,
3
] |
'''Turning on or off, toggling and checking the status' of a specific relay'''
#!/bin/env python3
from time import sleep
from gpiozero import LED
RELAYS = [
LED(23),
LED(24),
LED(25),
LED(8),
LED(7),
LED(1),
LED(12),
LED(16)
]
def on_action(relay_option, number):
'''To turn on t... | normal | {
"blob_id": "d82412055affc96d634957c953a35ea69b7e702f",
"index": 403,
"step-1": "<mask token>\n\n\ndef on_action(relay_option, number):\n \"\"\"To turn on the chosen relay\"\"\"\n relay_option.on()\n print(f'relay {number} is turning on')\n\n\n<mask token>\n\n\ndef toggle_action(relay_option, number):\n... | [
6,
7,
9,
10,
11
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
def bullets(chunks):
print('bullets')
final_string = (
'Your list in latex can be created with the following command: \n')
final_string += '> \\begin{itemize} \n'
for e in chunks:
print(final_string)
final_string += f'>... | flexible | {
"blob_id": "7a920b3609bb29cd26b159b48290fa6978839416",
"index": 7377,
"step-1": "<mask token>\n",
"step-2": "def bullets(chunks):\n print('bullets')\n final_string = (\n 'Your list in latex can be created with the following command: \\n')\n final_string += '> \\\\begin{itemize} \\n'\n for e... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
class Files(Base):
<|reserved_special_token_0|>
def upload_file(self, channel_id, files):
return self.client.post(self.endpoint, data={'channel_id':
channel_id}, files=files)
def get_file(self, file_id):
return self.client.get(self.endpoint + '/' ... | flexible | {
"blob_id": "0686dec7f3dc23f01ffff41f611a1bb597bb5352",
"index": 829,
"step-1": "<mask token>\n\n\nclass Files(Base):\n <mask token>\n\n def upload_file(self, channel_id, files):\n return self.client.post(self.endpoint, data={'channel_id':\n channel_id}, files=files)\n\n def get_file(s... | [
5,
6,
8,
9,
10
] |
<|reserved_special_token_0|>
def get_gff_from_list(gff_filename, listfile, partial_ok=False):
seqs = [line.strip() for line in open(listfile)]
for r in GFF.collapseGFFReader(gff_filename):
if r.seqid in seqs or r.seqid.split('|')[0
] in seqs or partial_ok and any(r.seqid.startswith(x) for ... | flexible | {
"blob_id": "166520ab5b9fd5a55dd2aa30b4d62f55096ce6cb",
"index": 2105,
"step-1": "<mask token>\n\n\ndef get_gff_from_list(gff_filename, listfile, partial_ok=False):\n seqs = [line.strip() for line in open(listfile)]\n for r in GFF.collapseGFFReader(gff_filename):\n if r.seqid in seqs or r.seqid.spli... | [
1,
3,
4,
5,
6
] |
<|reserved_special_token_0|>
def replaceNanWithMean():
dataMat = loadDataSet('secom.data.txt', '')
numFeat = shape(dataMat)[1]
for i in range(numFeat):
meanVal = mean(dataMat[nonzero(~isnan(dataMat[:, i].A))[0], i])
dataMat[nonzero(isnan(dataMat[:, i].A))[0], i] = meanVal
return dataMa... | flexible | {
"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
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def evaluate(model, X_te, y_te):
"""
Given the model and independent and dependent testing data,
print out statements that evaluate classifier
"""
probs = model.predict_proba(X_te)
plt.hist(probs[:, 1])
... | flexible | {
"blob_id": "62de629d8f28435ea8dc3dc093cac95e7cedf128",
"index": 7859,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef evaluate(model, X_te, y_te):\n \"\"\"\n Given the model and independent and dependent testing data,\n print out statements that evaluate classifier\n \"\"\"\n probs... | [
0,
1,
2,
3,
4
] |
'''
Copyright (c) 2021, Štěpán Beneš
The purpose of this script it to take the 5 BSE and 5 SE hand-picked prototype
images and turn them into the same shape and format as the rest of the data.
Prototype images are resized to 768x768, the info bar is cropped off. Afterwards
the images are normalized to float32 in ran... | normal | {
"blob_id": "af7af5d1048d2b0968e831aad89d5baf30cab608",
"index": 3210,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(proto_images_se_list.shape)\nprint(proto_images_bse_list.shape)\nnp.save('Data/SE_prototypes.npy', proto_images_se_list)\nnp.save('Data/BSE_prototypes.npy', proto_images_bse_list)\n... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
def horner(poly, x):
result = poly[0]
for i in range(1, len(poly)):
result = result * x + poly[i]
return result
<|reserved_special_token_0|>
<|reserved_special_token_1|>
def horner(poly, x):
result = poly[0]
for i in range(1, ... | flexible | {
"blob_id": "750565af03d945fbdc32e26347b28977b203e9dc",
"index": 4858,
"step-1": "<mask token>\n",
"step-2": "def horner(poly, x):\n result = poly[0]\n for i in range(1, len(poly)):\n result = result * x + poly[i]\n return result\n\n\n<mask token>\n",
"step-3": "def horner(poly, x):\n resu... | [
0,
1,
2,
3,
4
] |
"""
exercise 9-7-9-2
"""
fname = raw_input("Enter file name: ")
filehandle = open(fname)
d = dict()
for line in filehandle:
newline = line.split()
if newline != [] and newline[0] == 'From':
day = newline[2]
if day not in d:
d[day] = 1
else:
d[day] += 1
print d
| normal | {
"blob_id": "7beb9d9e24f4c9a4e1a486048371da79c35d0927",
"index": 8527,
"step-1": "\"\"\"\r\nexercise 9-7-9-2\r\n\r\n\"\"\"\r\n\r\nfname = raw_input(\"Enter file name: \")\r\nfilehandle = open(fname)\r\nd = dict()\r\nfor line in filehandle:\r\n newline = line.split()\r\n if newline != [] and newline[0] == 'From':... | [
0
] |
import logging
from tqdm import tqdm
logger = logging.getLogger(__name__)
logger.setLevel(logging.INFO)
def create_tables(db_engine):
"""RUN SQL STATEMENTS TO CREATE TABLES"""
with db_engine.connect() as conn:
create_table_stmts = []
create_drugs_table = """
DROP TABLE IF EXISTS dr... | normal | {
"blob_id": "f4c3b6ee6389b31c6a280bf7cfe920a2791c1299",
"index": 4125,
"step-1": "<mask token>\n\n\ndef create_tables(db_engine):\n \"\"\"RUN SQL STATEMENTS TO CREATE TABLES\"\"\"\n with db_engine.connect() as conn:\n create_table_stmts = []\n create_drugs_table = \"\"\"\n DROP TABLE I... | [
1,
2,
3,
4,
5
] |
#!/usr/bin/env python
import rospy
from std_msgs.msg import *
__print__ = ''
def Print(msg):
global __print__
target = int(msg.data.split(';')[0]) * 2
if target == 0:
__print__ = msg.data.split(';')[-1] + '\n' + '\n'.join(__print__.split('\n')[1:])
else:
__print__ = '\n'.join(__print... | normal | {
"blob_id": "007caece16f641947043faa94b8a074efe8ebadb",
"index": 6994,
"step-1": "#!/usr/bin/env python\n\nimport rospy\nfrom std_msgs.msg import *\n\n__print__ = ''\n\ndef Print(msg):\n global __print__\n\n target = int(msg.data.split(';')[0]) * 2\n if target == 0:\n __print__ = msg.data.split('... | [
0
] |
#!/usr/bin/python
import errno
import fuse
import stat
import time
#from multiprocessing import Queue
from functools import wraps
from processfs.svcmanager import Manager
import processfs.svcmanager as svcmanager
fuse.fuse_python_api = (0, 2)
_vfiles = ['stdin', 'stdout', 'stderr', 'cmdline', 'control', 'status']
... | normal | {
"blob_id": "028c2193e180ccdbfdcc51e5d061904ea1d6164e",
"index": 3536,
"step-1": "#!/usr/bin/python\n\nimport errno\nimport fuse\nimport stat\nimport time\n#from multiprocessing import Queue\nfrom functools import wraps\n\nfrom processfs.svcmanager import Manager\nimport processfs.svcmanager as svcmanager\n\nfus... | [
0
] |
from flask import Flask, render_template, request, redirect
#from gevent.pywsgi import WSGIServer
import model as db
import sys
import time, calendar
import jsonify
def get_date(date):
date = date.split("/")
time = str(date[0])
day_str = calendar.day_name[calendar.weekday(int(date[3]), int(date[2]), int(da... | normal | {
"blob_id": "79390f3ae5dc4cc9105a672d4838a8b1ba53a248",
"index": 3959,
"step-1": "<mask token>\n\n\ndef get_date(date):\n date = date.split('/')\n time = str(date[0])\n day_str = calendar.day_name[calendar.weekday(int(date[3]), int(date[2]),\n int(date[1]))]\n day_num = str(int(date[1]))\n ... | [
6,
8,
9,
10,
11
] |
쫲𪪌𤣬㐭𤙵⃢姅幛𑄹馻돷軔ሠ𡺶ײַ𢊅𠞡鞿𭞎𦠟𦔻뜸𣦏蛫履뜟𢒰疅𗕢𨞧漷𫴫礴𬽣𨚒𠻚ﾟ罉ꉷ🕸𡑁𩂱𑫌抿锃𫕊𦿮橖𓋊𧭠酞Ё햾𞄶𪳧蕱ꗍ𐊯𬏷먽𬻩뱩𗼾𠑧銋𝂥蘒굳뜀𬜀𮧛𡐔𭋇𭘡𬙒蕶믅𬂚𡟐剿𨸒ﾵ𮩨烘𮩽𭚱𗨦ﳇ큿턽쾘𩁻ꫲ𗨿蚀𨊍胗𗔑鼴𨵾㽡𩠌ݜ𪢭𩘼넴𤩭𬩽𢺤𫅬𧁏響𬶉喡𘨘뉵𨲊Ζ𥀐𩨇𠮢⏂𭖳𫓢𧛃𦥮単𦇭𮏨𬋪婓츏𪱔𭄿𦭺𣍵蹖🨞ޝ仂䱔讔ﭑ𨹟𐊁ﱥ𧅔𓇪뽼𗩢픛𖮌䮁ီ邾ࢠ㭨𣯇𩱵𥋭ѽ샑𭹓𫳃𧝽𥲇ᛲ𘁕粣𣑑ᒔ𣥕쯞⒋𩍥纝攂𨄷ͭ𧲵퍃氩𢐅𤵲뎋𥵘黴𤼩𬝉ⶌ𥬥𧺥浞🇴𑨲𠎆筬⌝༤쾘𤌲ы𡚎𑲙㽰𐛱𫛛�... | normal | {
"blob_id": "76c1929e901fce469661a299184765875d0eb53f",
"index": 3658,
"step-1": "쫲𪪌𤣬㐭𤙵⃢姅幛𑄹馻돷軔ሠ𡺶ײַ𢊅𠞡鞿𭞎𦠟𦔻뜸𣦏蛫履뜟𢒰疅𗕢𨞧漷𫴫礴𬽣𨚒𠻚ﾟ罉ꉷ🕸𡑁𩂱𑫌抿锃𫕊𦿮橖𓋊𧭠酞Ё햾𞄶𪳧蕱ꗍ𐊯𬏷먽𬻩뱩𗼾𠑧銋𝂥蘒굳뜀𬜀𮧛𡐔𭋇𭘡𬙒蕶믅𬂚𡟐剿𨸒ﾵ𮩨烘𮩽𭚱𗨦ﳇ큿턽쾘𩁻ꫲ𗨿蚀𨊍胗𗔑鼴𨵾㽡𩠌ݜ𪢭𩘼넴𤩭𬩽𢺤𫅬𧁏響𬶉喡𘨘뉵𨲊Ζ𥀐𩨇𠮢⏂𭖳𫓢𧛃𦥮単𦇭𮏨𬋪婓츏𪱔𭄿𦭺𣍵蹖🨞ޝ仂䱔讔ﭑ𨹟𐊁ﱥ𧅔𓇪뽼... | [
0
] |
<|reserved_special_token_0|>
class UsageData(Base):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
... | flexible | {
"blob_id": "6db0adf25a7cc38c8965c07cc80bde0d82c75d56",
"index": 3955,
"step-1": "<mask token>\n\n\nclass UsageData(Base):\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\n @property\n def dt... | [
9,
11,
12,
16,
21
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
def ehcf(a, b):
p1, q1, h1, p2, q2, h2 = 1, 0, a, 0, 1, b
from math import floor
while h2 != 0:
r = floor(h1 / h2)
p3 = p1 - r * p2
q3 = q1 - r * q2
h3 = h1 - r * h2
p1, q1, h1, p2, q2, h2 = p2, q2, h2, p3, ... | flexible | {
"blob_id": "d7b426727e11833b3825baac7b379f5ce44ea491",
"index": 5495,
"step-1": "<mask token>\n",
"step-2": "def ehcf(a, b):\n p1, q1, h1, p2, q2, h2 = 1, 0, a, 0, 1, b\n from math import floor\n while h2 != 0:\n r = floor(h1 / h2)\n p3 = p1 - r * p2\n q3 = q1 - r * q2\n h... | [
0,
1,
2,
3
] |
import json
import time
from keySender import PressKey,ReleaseKey,dk
config = {
"Up": "W",
"Down": "S",
"Left": "A",
"Right": "D",
"Grab": "LBRACKET",
"Drop": "RBRACKET"
}
### Commands
# Move
def Move(direction,delay=.2):
PressKey(dk[config[direction]])
time.sleep(delay) # Replace with a better condition
Rele... | normal | {
"blob_id": "1e7789b154271eb8407a027c6ddf6c941cc69a41",
"index": 3070,
"step-1": "<mask token>\n\n\ndef Move(direction, delay=0.2):\n PressKey(dk[config[direction]])\n time.sleep(delay)\n ReleaseKey(dk[config[direction]])\n\n\ndef Action(direction, pull=None):\n delay = 0.6\n if pull:\n del... | [
2,
3,
4,
5,
6
] |
# Generated by Django 3.2.5 on 2021-07-27 17:12
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Category',
fields=[
('id', ... | normal | {
"blob_id": "d145f4c061c8f364756012832a07adc305e35e5c",
"index": 5772,
"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 create_documents():
""" 按标点符号或是空格存储文件 """
documents_length = 0
chars, labels = [], []
chars_file = codecs.open('data/data.data', 'w', 'utf-8')
labels_file = codecs.open('data/label.data', 'w', 'utf-8')
with codecs.open('data/train.data', 'r', 'utf-8') as f:
... | flexible | {
"blob_id": "f22836fc4fed22d833755db0ff34502170260766",
"index": 9260,
"step-1": "<mask token>\n\n\ndef create_documents():\n \"\"\" 按标点符号或是空格存储文件 \"\"\"\n documents_length = 0\n chars, labels = [], []\n chars_file = codecs.open('data/data.data', 'w', 'utf-8')\n labels_file = codecs.open('data/lab... | [
4,
7,
8,
10,
11
] |
import boto3
import time
import datetime
from datetime import date
import sqlite3
import logging
import logging.handlers
from decimal import *
### LOGS CONFIGURATION ###
LOG_FILENAME = '/home/pi/Thermostat/alexaThermostat/logs/alexaThermostat.out'
# Set up a specific logger with our desired output level
my_logger = l... | normal | {
"blob_id": "fcc75550e1317a15c36bc8100c28af59b68e1381",
"index": 1571,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nmy_logger.setLevel(logging.DEBUG)\n<mask token>\nhandler.setFormatter(formatter)\nmy_logger.addHandler(handler)\n<mask token>\nwhile 1:\n c.execute(\n 'SELECT * FROM TEMP_HIST W... | [
0,
1,
2,
3,
4
] |
from django.contrib import admin
from main.models import Assignment, Review, Sample, Question, SampleMultipleFile
# Register your models here.
admin.site.register(Assignment)
admin.site.register(Review)
admin.site.register(Question)
class MultipleFileInline(admin.TabularInline):
model = SampleMultipleFile
class S... | normal | {
"blob_id": "d18c45c08face08ce8f7dad915f1896c24c95cbf",
"index": 2991,
"step-1": "<mask token>\n\n\nclass SampleAdmin(admin.ModelAdmin):\n inlines = [MultipleFileInline]\n prepopulated_fields = {'slug': ('heading',)}\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\nclass MultipleFileInline(admin.Tabula... | [
2,
4,
5,
6,
7
] |
#!/usr/bin/env python
import sys
import typer
from cupcake import version_callback
from cupcake.sequence import GFF
app = typer.Typer(
name="cupcake.sequence.get_gffs_from_list",
help="Get records from a GFF file from a list",
)
def get_gff_from_list(gff_filename, listfile, partial_ok=False):
seqs = [l... | normal | {
"blob_id": "166520ab5b9fd5a55dd2aa30b4d62f55096ce6cb",
"index": 2105,
"step-1": "<mask token>\n\n\ndef get_gff_from_list(gff_filename, listfile, partial_ok=False):\n seqs = [line.strip() for line in open(listfile)]\n for r in GFF.collapseGFFReader(gff_filename):\n if r.seqid in seqs or r.seqid.spli... | [
1,
3,
4,
5,
6
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
print('Multiplication Table of', num)
for i in range(1, 10):
print(num, 'a', i, '=', num * i)
<|reserved_special_token_1|>
num = int(input('Enter the number: '))
print('Multiplication Table of', num)
for i in range(1, 10):
... | flexible | {
"blob_id": "15bf84b716caf66a23706e9292b47ddb9bf4d35e",
"index": 4326,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint('Multiplication Table of', num)\nfor i in range(1, 10):\n print(num, 'a', i, '=', num * i)\n",
"step-3": "num = int(input('Enter the number: '))\nprint('Multiplication Table of... | [
0,
1,
2,
3
] |
import random
tree_age = 1
state = "alive"
value = 1
age_display = "Your tree have an age of: {}".format(tree_age)
state_display = "Your tree is {}.".format(state)
def tree_state(x):
if x <= 19:
state = "alive"
return state
elif x <= 49:
rand = random.randrange(tree_... | normal | {
"blob_id": "763f552329a0d38900e08081a1017b33cd882868",
"index": 9391,
"step-1": "<mask token>\n\n\ndef tree_state(x):\n if x <= 19:\n state = 'alive'\n return state\n elif x <= 49:\n rand = random.randrange(tree_age, 51, 1)\n if rand == 50:\n state = 'dead'\n ... | [
1,
2,
3,
4,
5
] |
from django.contrib import admin
from search.models import PrimaryCategory,PlaceCategory
class PrimaryCategoryAdmin(admin.ModelAdmin):
list_display = ('primary_name','is_active','description','image',)
actions = None
def has_delete_permission(self,request,obj=None):
return False
... | normal | {
"blob_id": "606abf8501d85c29051df4bf0276ed5b098ee6c5",
"index": 8679,
"step-1": "<mask token>\n\n\nclass PrimaryCategoryAdmin(admin.ModelAdmin):\n <mask token>\n <mask token>\n <mask token>\n\n\nclass PlaceCategoryAdmin(admin.ModelAdmin):\n list_display = ('category_name', 'is_paid', 'description', ... | [
5,
6,
7,
8,
10
] |
__source__ = 'https://leetcode.com/problems/merge-two-binary-trees/'
# Time: O(n)
# Space: O(n)
#
# Description: Leetcode # 617. Merge Two Binary Trees
#
# Given two binary trees and imagine that when you put one of them to cover the other,
# some nodes of the two trees are overlapped while the others are not.
#
# You... | normal | {
"blob_id": "42371760d691eac9c3dfe5693b03cbecc13fd94d",
"index": 6066,
"step-1": "<mask token>\n\n\nclass Solution(object):\n <mask token>\n\n\nclass TestMethods(unittest.TestCase):\n\n def test_Local(self):\n self.assertEqual(1, 1)\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\nclass Solution... | [
3,
4,
7,
8,
10
] |
"""Base class for an array of annotated genomic regions."""
import logging
from typing import Callable, Dict, Iterable, Iterator, Mapping, Optional, Sequence, Union
from collections import OrderedDict
import numpy as np
import pandas as pd
from .chromsort import sorter_chrom
from .intersect import by_ranges, into_ran... | normal | {
"blob_id": "0b833276ca10118f2d60e229ff03400b03915958",
"index": 2429,
"step-1": "<mask token>\n\n\nclass GenomicArray:\n <mask token>\n <mask token>\n <mask token>\n\n def __init__(self, data_table: Optional[Union[Sequence, pd.DataFrame]],\n meta_dict: Optional[Mapping]=None):\n if dat... | [
36,
38,
48,
49,
55
] |
<|reserved_special_token_0|>
class TestData:
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class TestData:
<|reserved_special_token_0|>
def get_test_data(self):
return self.images
<|reserved_special_token_1|>
<|rese... | flexible | {
"blob_id": "122c4f3a2949ee675b7dd64b9f9828e80cbe5610",
"index": 1246,
"step-1": "<mask token>\n\n\nclass TestData:\n <mask token>\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass TestData:\n <mask token>\n\n def get_test_data(self):\n return self.images\n",
"step-3": "<mask token>\n\... | [
1,
2,
3,
4,
5
] |
from models import Session, FacebookUser, FacebookPage, FacebookGroup
from lib import get_scraper, save_user, save_page
import logging
logging.basicConfig(level=logging.DEBUG)
session = Session()
scraper = get_scraper(True)
for user in session.query(FacebookUser).filter(FacebookUser.data=="todo").filter("username ~ '... | normal | {
"blob_id": "77ae3ef1f6f267972a21f505caa7be29c19a6663",
"index": 8369,
"step-1": "from models import Session, FacebookUser, FacebookPage, FacebookGroup\nfrom lib import get_scraper, save_user, save_page\n\nimport logging\nlogging.basicConfig(level=logging.DEBUG)\nsession = Session()\nscraper = get_scraper(True)\... | [
0
] |
import numpy as np
def GradientDescent(f, gradf, x0, epsilon, num_iter, line_search,
disp=False, callback=None, **kwargs):
x = x0.copy()
iteration = 0
opt_arg = {"f": f, "grad_f": gradf}
for key in kwargs:
opt_arg[key] = kwargs[key]
while True:
gradient = -gradf(x)
alpha = line_search(x... | normal | {
"blob_id": "dca36de5556b120b8b93eac0ad7b971ad735d907",
"index": 313,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef GradientDescent(f, gradf, x0, epsilon, num_iter, line_search, disp=\n False, callback=None, **kwargs):\n x = x0.copy()\n iteration = 0\n opt_arg = {'f': f, 'grad_f': gr... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
@skipIf(not net.HAS_NAPALM, 'napalm module required for this test')
class NetTest(TestCase, LoaderModuleMockMixin):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
def test_interfaces(self):
ret = net.interfaces()
self.assertEqual(None, ret)
def... | flexible | {
"blob_id": "0fb288e3ab074e021ec726d71cbd5c8546a8455b",
"index": 744,
"step-1": "<mask token>\n\n\n@skipIf(not net.HAS_NAPALM, 'napalm module required for this test')\nclass NetTest(TestCase, LoaderModuleMockMixin):\n <mask token>\n <mask token>\n\n def test_interfaces(self):\n ret = net.interfac... | [
5,
6,
8,
10,
11
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
print(dictn)
<|reserved_special_token_1|>
listtuple = [(1, 2), (2, 3), (3, 4), (4, 5)]
dictn = dict(listtuple)
print(dictn)
| flexible | {
"blob_id": "85bc304c69dac8bb570f920f9f12f558f4844c49",
"index": 8644,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(dictn)\n",
"step-3": "listtuple = [(1, 2), (2, 3), (3, 4), (4, 5)]\ndictn = dict(listtuple)\nprint(dictn)\n",
"step-4": null,
"step-5": null,
"step-ids": [
0,
1,
... | [
0,
1,
2
] |
"""
Created on Fri Aug 4 19:19:31 2017
@author: aw1042
"""
import requests
import threading
import sys
import re
import xml.etree.ElementTree as ET
import smtplib
from credentials import *
argsObj = {}
for arg1, arg2 in zip(sys.argv[:-1], sys.argv[1:]):
if arg1[0] == '-':
argsObj[arg1] = arg2
posts = ... | normal | {
"blob_id": "297a17ca5aaafb368a1e4cba35e387c67e9f793f",
"index": 7420,
"step-1": "\"\"\"\nCreated on Fri Aug 4 19:19:31 2017\n\n@author: aw1042\n\"\"\"\nimport requests\nimport threading\nimport sys\nimport re\nimport xml.etree.ElementTree as ET\nimport smtplib\nfrom credentials import *\n\n\n\nargsObj = {}\nfo... | [
0
] |
'''Чи можна в квадратному залі площею S помістити круглу сцену радіусом R так,
щоб від стіни до сцени був прохід не менше K?'''
from math import sqrt
s = int(input('Input your area of square (S): '))
r = int(input('Input your radius of scene (R): '))
k = int(input('Input your width of passage (K): '))
k2 = sqrt... | normal | {
"blob_id": "31a2fa5b2febc2ef80b57e45c2ebb662b886c4b7",
"index": 6043,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nif k2 >= k:\n print(' Yes, the scene can be set.')\nelse:\n print(\" Sorry, but the scene can't be set.\")\n",
"step-3": "<mask token>\ns = int(input('Input your area of squ... | [
0,
1,
2,
3,
4
] |
#!/usr/bin/python3
from optparse import OptionParser
from urllib import request, parse
from urllib.error import URLError, HTTPError
import ssl
import re
ssl_context = ssl.SSLContext(ssl.PROTOCOL_SSLv23)
ssl_context.options &= ssl.CERT_NONE
class Settings:
SINGLETON = None
def __init__(self):
self.... | normal | {
"blob_id": "e92a738d3233450b255605619dafadd4d829604b",
"index": 9067,
"step-1": "<mask token>\n\n\nclass Settings:\n SINGLETON = None\n\n def __init__(self):\n self.url_pattern = (\n 'href=\"((http[s]?://|/)(?:[a-zA-Z]|[0-9]|[$-_@.&+]|[!*\\\\(\\\\),]|(?:%[0-9a-fA-F][0-9a-fA-F]))+)\"'\n ... | [
14,
19,
20,
21,
25
] |
import time
from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.support.select import Select
from selenium.webdriver.support.wait import WebDriverWait
from selenium.webdriver.support import expected_conditions
class TestTa... | normal | {
"blob_id": "777dc2056443f0404ccb75d570f2ddc3a3aa747b",
"index": 6669,
"step-1": "<mask token>\n\n\nclass TestTaniHub:\n <mask token>\n <mask token>\n <mask token>\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\nclass TestTaniHub:\n <mask token>\n <mask token>\n\n def test_tanihub_number_2... | [
1,
2,
4,
6,
8
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
print(res, type(res))
print(res.decode('gbk'))
<|reserved_special_token_1|>
x = '上'
res = x.encode('gbk')
print(res, type(res))
print(res.decode('gbk'))
<|reserved_special_token_1|>
#coding:utf-8
x = '上'
res = x.encode('gbk... | flexible | {
"blob_id": "3c053bf1b572759eddcd310d185f7e44d82171a5",
"index": 9153,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(res, type(res))\nprint(res.decode('gbk'))\n",
"step-3": "x = '上'\nres = x.encode('gbk')\nprint(res, type(res))\nprint(res.decode('gbk'))\n",
"step-4": "#coding:utf-8\n\nx = '上'\... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
class Protocol:
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
@abstractmethod
def execute(self, command):
""""execute command method"""
class LocalProtocol(Protocol):
"""simple protocol for using bots within app""... | flexible | {
"blob_id": "8d1067a9bb0629276ef27de91f63cf2370a44e24",
"index": 1369,
"step-1": "<mask token>\n\n\nclass Protocol:\n <mask token>\n <mask token>\n <mask token>\n\n @abstractmethod\n def execute(self, command):\n \"\"\"\"execute command method\"\"\"\n\n\nclass LocalProtocol(Protocol):\n ... | [
6,
7,
8,
11
] |
<|reserved_special_token_0|>
class APIAuditAgent(AuditAgent):
<|reserved_special_token_0|>
def __init__(self):
self._url = 'http://localhost:3000/auditlogs/create'
self._resp = None
def change_endpoint(self, url: str):
"""
Changes the default POST endpoint URL.
Ca... | flexible | {
"blob_id": "45a57fac564f23253f9d9cd5d0fd820e559c15b9",
"index": 1212,
"step-1": "<mask token>\n\n\nclass APIAuditAgent(AuditAgent):\n <mask token>\n\n def __init__(self):\n self._url = 'http://localhost:3000/auditlogs/create'\n self._resp = None\n\n def change_endpoint(self, url: str):\n ... | [
8,
9,
10,
11
] |
<|reserved_special_token_0|>
def sign_in():
root.destroy()
import main
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
root.title('Register-Form')
root.geometry('600x450+-2+86')
root.minsize(120, 1)
def delete():
if Entry1.get() == '':
messagebox.showe... | flexible | {
"blob_id": "37cafe5d3d3342e5e4070b87caf0cfb5bcfdfd8d",
"index": 1613,
"step-1": "<mask token>\n\n\ndef sign_in():\n root.destroy()\n import main\n\n\n<mask token>\n",
"step-2": "<mask token>\nroot.title('Register-Form')\nroot.geometry('600x450+-2+86')\nroot.minsize(120, 1)\n\n\ndef delete():\n if Ent... | [
1,
4,
5,
6,
7
] |
"""Largest product in a series
Problem 8
The four adjacent digits in the 1000-digit number that have the greatest product
are 9 x 9 x 8 x 9 = 5832.
73167176531330624919225119674426574742355349194934
96983520312774506326239578318016984801869478851843
85861560789112949495459501737958331952853208805511
125406987471585238... | normal | {
"blob_id": "601d32bf30aa454bbc7d31d6ce4b7296cef0fdfe",
"index": 9374,
"step-1": "\"\"\"Largest product in a series\nProblem 8\nThe four adjacent digits in the 1000-digit number that have the greatest product\nare 9 x 9 x 8 x 9 = 5832.\n\n73167176531330624919225119674426574742355349194934\n9698352031277450632623... | [
0
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class Input(Base):
def clear(self):
element = self.driver.find_element_by_xpath(self.params['xpath'])
if self.params.get('clear', None):
element.clear()
return True
element.cl... | flexible | {
"blob_id": "7503a0c8f83ff0ce370ed7bce733b09d9a2c69c4",
"index": 817,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass Input(Base):\n\n def clear(self):\n element = self.driver.find_element_by_xpath(self.params['xpath'])\n if self.params.get('clear', None):\n element.c... | [
0,
2,
3,
4,
5
] |
from collections import Counter
# Complete the isValid function below.
def isValid(s):
if not s:
return True
x = Counter(s)
print(x)
first_c = x.pop(s[0])
cnt = 0
for k, c in x.items():
if c != first_c:
if first_c == 1:
cnt += 1
firs... | normal | {
"blob_id": "760daa908ca92e7fb1393bdf28fee086dc1648ef",
"index": 6418,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef isValid(s):\n if not s:\n return True\n x = Counter(s)\n print(x)\n first_c = x.pop(s[0])\n cnt = 0\n for k, c in x.items():\n if c != first_c:\n ... | [
0,
1,
2,
3,
4
] |
from abc import abstractmethod
from anoncreds.protocol.repo.public_repo import PublicRepo
from anoncreds.protocol.types import ClaimDefinition, PublicKey, SecretKey, ID, \
RevocationPublicKey, AccumulatorPublicKey, Accumulator, TailsType, \
RevocationSecretKey, AccumulatorSecretKey, \
TimestampType
from an... | normal | {
"blob_id": "890841c8892e89375bb022f0d469fefc27414a2b",
"index": 5823,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass IssuerWalletInMemory(IssuerWallet, WalletInMemory):\n\n def __init__(self, claimDefId, repo: PublicRepo):\n WalletInMemory.__init__(self, claimDefId, repo)\n se... | [
0,
2,
4,
5,
6
] |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
__author__ = "Brateaqu, Farolflu"
__copyright__ = "Copyright 2019"
__credits__ = ["Quentin BRATEAU", "Luca FAROLFI"]
__license__ = "GPL"
__version__ = "1.0"
__email__ = ["quentin.brateau@ensta-bretagne.org", "luca.farolfi@ensta-bretagne.org"]
# Importing modules
import... | normal | {
"blob_id": "7cb75195df567a5b65fe2385423b0082f3b9de4b",
"index": 1051,
"step-1": "<mask token>\n\n\nclass GameMap(list):\n <mask token>\n\n def __init__(self):\n super().__init__()\n self.xmax = 5\n self.ymax = 5\n self.__nb_elephants = 0\n self.__nb_rhinoceros = 0\n ... | [
8,
9,
11,
15,
18
] |
<|reserved_special_token_0|>
def main(request):
c = base_context(request)
template = get_template('index.html')
c['title'] = _('Request')
form = RequestForm()
user = request.user
c['user'] = user
if user.is_authenticated():
e = Employee.objects.filter(user=user)
if e:
... | flexible | {
"blob_id": "11163dc99ee65ab44494c08d81e110e9c42390ae",
"index": 3130,
"step-1": "<mask token>\n\n\ndef main(request):\n c = base_context(request)\n template = get_template('index.html')\n c['title'] = _('Request')\n form = RequestForm()\n user = request.user\n c['user'] = user\n if user.is_... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
pylab.plot(x, y)
<|reserved_special_token_0|>
pylab.plot(x, y, '--')
pylab.text(w / 4.0, h / 12.0 - w / 4.0 * sin(th) - h / 30.0,
'$A_{a,subcool}$', ha='center', va='center')
<|reserved_special_token_0|>
pylab.plot(x, y, '--')... | flexible | {
"blob_id": "c485466a736fa0a4f183092e561a27005c01316d",
"index": 8616,
"step-1": "<mask token>\n",
"step-2": "<mask token>\npylab.plot(x, y)\n<mask token>\npylab.plot(x, y, '--')\npylab.text(w / 4.0, h / 12.0 - w / 4.0 * sin(th) - h / 30.0,\n '$A_{a,subcool}$', ha='center', va='center')\n<mask token>\npylab... | [
0,
1,
2,
3,
4
] |
############################################-############################################
################################ F I L E A U T H O R S ################################
# MIKE - see contacts in _doc_PACKAGE_DESCRIPTION
####################################### A B O U T #######################################... | normal | {
"blob_id": "58667da8898c2277ecc3d9d738d6553dd3416436",
"index": 7323,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef some_func():\n CFG.start_clock_module = datetime.datetime.now()\n LOG.write_me('\\tSTART - CLEAN.py (' + datetime.datetime.now().strftime(\n '%y-%m-%d | %H:%M') + ')'... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
setup(name='qlquery', version='1.0', license='MIT', packages=['qlquery'],
install_requires=['my-fake-useragent', 'requests', 'beautifulsoup4'],
zip_safe=False)
<|reserved_special_token_1|>
from setuptools import setup
s... | flexible | {
"blob_id": "f11ede752df7d9aff672eee4e230b109fcbf987b",
"index": 8555,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nsetup(name='qlquery', version='1.0', license='MIT', packages=['qlquery'],\n install_requires=['my-fake-useragent', 'requests', 'beautifulsoup4'],\n zip_safe=False)\n",
"step-3": "... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
class Date:
<|reserved_special_token_0|>
<|reserved_special_token_1|>
class Date:
def __init__(self, strDate):
strDate = strDate.split('.')
self.day = strDate[0]
self.month = strDate[1]
self.year = strDate[2]
| flexible | {
"blob_id": "805fc9a26650f85227d14da972311ffbd9dbd555",
"index": 16,
"step-1": "<mask token>\n",
"step-2": "class Date:\n <mask token>\n",
"step-3": "class Date:\n\n def __init__(self, strDate):\n strDate = strDate.split('.')\n self.day = strDate[0]\n self.month = strDate[1]\n ... | [
0,
1,
2
] |
<|reserved_special_token_0|>
class ImageClassifier:
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
def extract_image_features(self, data):
fd = None
for pic in data:
rescaled_picture = exposure.rescale_intensity(pic)
feat... | flexible | {
"blob_id": "58204b4b035aa06015def7529852e882ffdd369a",
"index": 8997,
"step-1": "<mask token>\n\n\nclass ImageClassifier:\n <mask token>\n <mask token>\n <mask token>\n\n def extract_image_features(self, data):\n fd = None\n for pic in data:\n rescaled_picture = exposure.res... | [
5,
7,
9,
10,
12
] |
# Generated by Django 3.0.1 on 2020-02-01 16:38
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('shopUser', '0024_order_contact'),
]
operations = [
migrations.AddField(
model_name='order',
name='location',
... | normal | {
"blob_id": "0a5570ef17efa26ef6317930df616c8326f83314",
"index": 2936,
"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 = [('shopUser', ... | [
0,
1,
2,
3,
4
] |
# 给定一个正整数 n，生成一个包含 1 到 n2 所有元素，且元素按顺时针顺序螺旋排列的正方形矩阵。
#
# DEMO:
# 输入: 3
# 输出:
# [
# [ 1, 2, 3 ],
# [ 8, 9, 4 ],
# [ 7, 6, 5 ]
# ]
class Solution:
def generateMatrix(self, n):
"""
与 54 思路类似，注意边界...
:type n: int
:rtype: List[List[int]]
"""
array = [[0 for _ in ran... | normal | {
"blob_id": "f6bfb055e1c1750702580fc9c9295b8528218910",
"index": 7416,
"step-1": "<mask token>\n",
"step-2": "class Solution:\n <mask token>\n",
"step-3": "class Solution:\n\n def generateMatrix(self, n):\n \"\"\"\n 与 54 思路类似，注意边界...\n :type n: int\n :rtype: List[List[in... | [
0,
1,
2,
3
] |
# -*- coding: utf-8 -*-
# python >= 3.7
# supported xmanager version <5.1, 5.1, 5.2, 6
import os
import argparse
import configparser
import unicodedata
from win32api import GetComputerName, GetUserName
from win32security import LookupAccountName, ConvertSidToStringSid
from base64 import b64encode, b64decode
from Cryp... | normal | {
"blob_id": "5f2427c077d460d109f5a3e94b93f72c090f036d",
"index": 7181,
"step-1": "<mask token>\n\n\ndef decrypt_string(password_string, need_return=False):\n if not is_number(VERSION):\n raise ValueError('Invalid argument: --Version')\n ver = float(VERSION)\n Cipher = ARC4.new(getCipherKey())\n ... | [
5,
8,
9,
10,
11
] |
# Generated by Django 2.2.3 on 2019-07-27 10:41
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('beerFriends', '0006_auto_20190726_1504'),
]
operations = [
migrations.AlterField(
model_name='beer',
name='rating',
... | normal | {
"blob_id": "68f3d3fce52d08381adc522ee032ef3181aec82a",
"index": 400,
"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 = [('beerFriends'... | [
0,
1,
2,
3,
4
] |
rak="hello\n"
n=input()
print(rak * int(n))
| normal | {
"blob_id": "b0e4042ac4ed54cafedb9e53244c164527559e39",
"index": 5406,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(rak * int(n))\n",
"step-3": "rak = 'hello\\n'\nn = input()\nprint(rak * int(n))\n",
"step-4": "rak=\"hello\\n\"\nn=input()\nprint(rak * int(n)) \n",
"step-5": null,
"step-i... | [
0,
1,
2,
3
] |
#!/usr/bin/env python
"""
This example shows how to create an unstructured grid.
"""
import vtk
import numpy as np
import pickle as pkl
colors_list = pkl.load(open('permuted_colors.pkl','rb'))
meta = pkl.load(open('v_atlas/meta_information.pkl','rb'))
def main():
colors = vtk.vtkNamedColors()
Data=np.load(... | normal | {
"blob_id": "7261c5f9ac87c8337383daec312372b345ab7652",
"index": 4109,
"step-1": "<mask token>\n\n\ndef main():\n colors = vtk.vtkNamedColors()\n Data = np.load('tessaltions_compressed.npz')\n indices = meta['sorted_keys']\n struct_D = {}\n for i, s in enumerate(set([x[0] for x in indices])):\n ... | [
1,
2,
3,
4,
5
] |
#coding=utf-8
import shutil
import zipfile
# shutil.copyfile("file03.txt","file05.txt") #拷贝
# shutil.copytree("movie/大陆","电影") #拷贝文件夹
#忽略不需要拷贝的文件
# shutil.copytree("movie/大陆","电影",ignore=shutil.ignore_patterns("*.txt","*.html"))
#压缩和解压缩
# shutil.make_archive("电影/压缩","zip","movie/大陆")
z1 = zipfile.ZipFile("a.z... | normal | {
"blob_id": "81f5753e8d0004244b4ee8e26895cb2b38fbb8b6",
"index": 751,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nz1.write('file05.txt')\nz1.write('file03.txt')\nz1.close()\n<mask token>\nz2.extractall('电影')\nz2.close()\n",
"step-3": "<mask token>\nz1 = zipfile.ZipFile('a.zip', 'w')\nz1.write('file0... | [
0,
1,
2,
3,
4
] |
'''
Написати програму, що визначає, яка з двох
точок знаходиться ближче до початку координат.
'''
import re
re_number = re.compile("^[-+]?\d+\.?\d*$")
def validator(pattern,promt):
text=input(promt)
while not bool(pattern.match(text)):
text = input(promt)
return text
def number_validator(promt)... | normal | {
"blob_id": "2d5993489ff3120d980d29edbb53422110a5c039",
"index": 3561,
"step-1": "<mask token>\n\n\ndef validator(pattern, promt):\n text = input(promt)\n while not bool(pattern.match(text)):\n text = input(promt)\n return text\n\n\ndef number_validator(promt):\n number = float(validator(re_nu... | [
3,
4,
5,
6,
7
] |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Time : 2019/6/26 16:11
# @Author : Micky
# @Site :
# @File : 01_压缩相关知识.py
# @Software: PyCharm
import numpy as np
from PIL import Image
from scipy import misc
if __name__ == '__main__':
# 图像加载
image = Image.open('../datas/xiaoren.png')
# 图像转换为num... | normal | {
"blob_id": "176120d4f40bc02b69d7283b7853b74adf369141",
"index": 4726,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nif __name__ == '__main__':\n image = Image.open('../datas/xiaoren.png')\n img = np.asarray(image)\n print(img.shape)\n imageNew = np.zeros((600, 100, 3))\n imageNew = image... | [
0,
1,
2,
3
] |
import socket
import struct
from fsuipc_airspaces.position import Position
# Adapted from tools/faker.js in github.com/foucdeg/airspaces
_START_BUFFER = bytes([68, 65, 84, 65, 60, 20, 0, 0, 0])
_END_BUFFER = bytes([0] * 20)
_START_TRANSPONDER = bytes([104, 0, 0, 0, 0, 0, 0, 0])
_END_TRANSPONDER = bytes([0] * 24)
d... | normal | {
"blob_id": "68fa47e528e5c7c553c3c49ee5b7372b8a956302",
"index": 3364,
"step-1": "<mask token>\n\n\nclass XPlaneDataOut:\n\n def __init__(self, host: str, port: int) ->None:\n self.address = host, port\n self.socket = socket.socket(family=socket.AF_INET, type=socket.\n SOCK_DGRAM)\n\n... | [
3,
4,
5,
6,
7
] |
# coding: utf-8
BOT_NAME = ['lg']
SPIDER_MODULES = ['lg.spiders']
NEWSPIDER_MODULE = 'lg.spiders'
DOWNLOAD_DELAY = 0.1 # 间隔时间
LOG_LEVEL = 'WARNING'
| normal | {
"blob_id": "bed3d83f682404719a95be360cdd74be9dc87991",
"index": 3718,
"step-1": "<mask token>\n",
"step-2": "BOT_NAME = ['lg']\nSPIDER_MODULES = ['lg.spiders']\nNEWSPIDER_MODULE = 'lg.spiders'\nDOWNLOAD_DELAY = 0.1\nLOG_LEVEL = 'WARNING'\n",
"step-3": "# coding: utf-8\n\nBOT_NAME = ['lg']\n\nSPIDER_MODULES ... | [
0,
1,
2
] |
#!/usr/bin/python3
def add_tuple(tuple_a=(), tuple_b=()):
if len(tuple_a) < 1:
a_x = 0
else:
a_x = tuple_a[0]
if len(tuple_a) < 2:
a_y = 0
else:
a_y = tuple_a[1]
if len(tuple_b) < 1:
b_x = 0
else:
b_x = tuple_b[0]
if len(tuple_b) < 2:
b... | normal | {
"blob_id": "1522ebb52504f7f27a526b597fe1e262bbcbfbb0",
"index": 4429,
"step-1": "<mask token>\n",
"step-2": "def add_tuple(tuple_a=(), tuple_b=()):\n if len(tuple_a) < 1:\n a_x = 0\n else:\n a_x = tuple_a[0]\n if len(tuple_a) < 2:\n a_y = 0\n else:\n a_y = tuple_a[1]\n ... | [
0,
1,
2
] |
# -*- coding: utf-8 -*-
""""
Created on Saturday, January 18, 2020
@author: lieur
This test case sets silver and gold to 0, which in most cases prevent the computer from
buying provinces. This tests to see if the game ends when one more supply car hits 0 (since
silver and gold are already at 0 and the game ends when... | normal | {
"blob_id": "fa833e9cd1e624d9ecfb2fcc6d9e22955c9e4b1e",
"index": 6258,
"step-1": "<mask token>\n",
"step-2": "<mask token>\ntestUtility.play_game(supply, supply_order, players, trash)\ntestUtility.display_game_results(players)\n",
"step-3": "<mask token>\nplayer_names = ['Annie', '*Ben', '*Carla']\nnV, nC = ... | [
0,
1,
2,
3,
4
] |
# coding: utf-8
"""
Styled object
=============
A :class:`~benker.styled.Styled` object contains a dictionary of styles.
It is mainly used for :class:`~benker.table.Table`, :class:`~benker.table.RowView`,
:class:`~benker.table.ColView`, and :class:`~benker.cell.Cell`.
"""
import pprint
class Styled(object):
""... | normal | {
"blob_id": "8fa58791aae1352109b3bf7410d68bf5ae1d8cb7",
"index": 9559,
"step-1": "<mask token>\n\n\nclass Styled(object):\n <mask token>\n <mask token>\n <mask token>\n\n def __str__(self):\n return str(self._styles)\n\n def __repr__(self):\n cls = self.__class__.__name__\n it... | [
5,
6,
8,
9,
10
] |
#Copyright 2020 Side Li, Arun Kumar
#
#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 in writing... | normal | {
"blob_id": "203e678d565753bb51e1bbd90ffec0f3260b22fb",
"index": 119,
"step-1": "<mask token>\n\n\ndef line_count(filename, hdfs_used=False, client=None):\n if hdfs_used:\n with client.read(filename, encoding='utf-8') as reader:\n num_lines = sum(1 for _ in reader)\n return num_li... | [
6,
7,
8,
9,
10
] |
<|reserved_special_token_0|>
def main(argv):
"""
Main function which shows the usage, retrieves the command line parameters and invokes the required functions to do
the expected job.
:param argv: (dictionary) options and values specified in the command line
"""
print('Preparing for balanced d... | flexible | {
"blob_id": "2b82d66803ae0a0b03204318975d3c122f34f0cf",
"index": 7003,
"step-1": "<mask token>\n\n\ndef main(argv):\n \"\"\"\n Main function which shows the usage, retrieves the command line parameters and invokes the required functions to do\n the expected job.\n\n :param argv: (dictionary) options ... | [
5,
6,
7,
8,
9
] |
from django.utils.html import strip_tags
from django.core.mail import send_mail
from django.urls import reverse
from django.http import HttpResponseRedirect
def Email(doctorFullName,password,otp,email,id):
print("\n== UTILS ===")
html_message='''
<html>
<body>
<p>Welcome %s and pass is %s... | normal | {
"blob_id": "4ecf9c03750a31ecd113a7548df4e2a700e775e0",
"index": 4034,
"step-1": "<mask token>\n\n\ndef emailpatient(firstname, lastname, password, otp, email, id):\n print('\\n== UTILS ===')\n html_message = (\n \"\"\"\n <html>\n <body>\n <p>Welcome %s %s and pass is %s and otp is %d</p>\n... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
if user_list[-1] == 'wolf':
print('Please go away and stop eating my sheep')
else:
user_list.reverse()
print(
f"Oi! Sheep number {user_list.index('wolf,')}! You are about to be eaten by a wolf!"
)
<|r... | flexible | {
"blob_id": "16850d931eec0356f71317cc24461e006fbcd59c",
"index": 6192,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nif user_list[-1] == 'wolf':\n print('Please go away and stop eating my sheep')\nelse:\n user_list.reverse()\n print(\n f\"Oi! Sheep number {user_list.index('wolf,')}! You ... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def ShowFormat():
"""File format example"""
print(
"""
#rfmix output, 3 person, 2 snps
------------------------
1 1 2 1 2 2
1 2 2 1 2 2
#id average:
------------------------
0.8
0.5
0.1
#out... | flexible | {
"blob_id": "7f9046582ff03d1c72d191a8f78c911cbc8a0650",
"index": 5907,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef ShowFormat():\n \"\"\"File format example\"\"\"\n print(\n \"\"\"\n #rfmix output, 3 person, 2 snps\n ------------------------\n1 1 2 1 2 2\n1 2 2 1 2 2\n\n ... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class Migration(migrations.Migration):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class Migration(migrations.... | flexible | {
"blob_id": "e68d872232b3eab4c33cbbe4376be7dd788888e2",
"index": 1242,
"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|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
try:
urllib.request.urlopen('http://blog.csdn.net/jo_andy')
except urllib.error.URLError as e:
if hasattr(e, 'code'):
print(e.code)
if hasattr(e, 'reason'):
print(e.reason)
<|reserved_special_token_1|... | flexible | {
"blob_id": "2ffd0de2888872cfa664919fcfc54b8e60b03280",
"index": 5256,
"step-1": "<mask token>\n",
"step-2": "<mask token>\ntry:\n urllib.request.urlopen('http://blog.csdn.net/jo_andy')\nexcept urllib.error.URLError as e:\n if hasattr(e, 'code'):\n print(e.code)\n if hasattr(e, 'reason'):\n ... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class _TELECONFERENCES(_TELECONFERENCE):
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class _TELECONFERENCES(_TELECONFERENCE):
def __init__(self):
_TELECONFERENCE._... | flexible | {
"blob_id": "9021fa440561461ee179f333aa04a155d06c6e86",
"index": 7255,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass _TELECONFERENCES(_TELECONFERENCE):\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass _TELECONFERENCES(_TELECONFERENCE):\n\n def __init__(self):\n _TELECONFERE... | [
0,
1,
2,
3,
4
] |
## Script (Python) "after_rigetta"
##bind container=container
##bind context=context
##bind namespace=
##bind script=script
##bind subpath=traverse_subpath
##parameters=state_change
##title=
##
doc = state_change.object
#Aggiornamento dello stato su plominoDocument
doc.updateStatus()
if script.run_script(doc, script.... | normal | {
"blob_id": "096d82e1f9e8832f6605d23c8bb324e045b6b14f",
"index": 7393,
"step-1": "<mask token>\n",
"step-2": "<mask token>\ndoc.updateStatus()\nif script.run_script(doc, script.id) != False:\n if doc.naming('richiesta') != 'integrazione':\n doc.sendThisMail('rigetta')\n script.run_script(doc, scri... | [
0,
1,
2,
3
] |
#!/usr/bin/env python3
import csv
import math
def load_data_from_file(filename):
"""
Load that data, my dude(tte)
:param filename: The file from which you want to load data
:return: Time and position data of the file
"""
time = []
position = []
with open(filename, 'r') a... | normal | {
"blob_id": "4545ce36c4d3df50e263d3323c04c53acb2b50e0",
"index": 7888,
"step-1": "<mask token>\n\n\ndef load_data_from_file(filename):\n \"\"\"\n Load that data, my dude(tte)\n :param filename: The file from which you want to load data\n :return: Time and position data of the file\n \"\"\"\n ti... | [
5,
6,
8,
9,
10
] |
from classes.Board import Board
class Visualiser:
coordinate_map = ("a", "b", "c", "d", "e", "f", "g", "h")
__dimensions = 8
def __init__(self):
self.map = []
self.__build_map()
def __build_map(self):
"""
Creates the array of the battlefield. Should never be used for ... | normal | {
"blob_id": "e5e012e40a71dee9f4dbd9913590aef125b758df",
"index": 223,
"step-1": "<mask token>\n\n\nclass Visualiser:\n <mask token>\n <mask token>\n <mask token>\n\n def __build_map(self):\n \"\"\"\n Creates the array of the battlefield. Should never be used for logical operations\n ... | [
4,
5,
6,
7,
8
] |
"""
USAGE:
o install in develop mode: navigate to the folder containing this file,
and type 'python setup.py develop --user'.
(ommit '--user' if you want to install for
all users)
"""
from setupt... | normal | {
"blob_id": "cfa862988edf9d70aa5e975cca58b4e61a4de847",
"index": 759,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nsetup(name='gromacsplotter', version='0.1', description=\n 'Read xvg files created with gromacs for plotting with matplotlib', url\n ='', author='Ilyas Kuhlemann', author_email='ilya... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
class TIME_CHECK(Enum):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class TIME_CHECK(Enum):
BEFORE_START = 0
DURING_TIME = 1
AFTER_END = 2
<|reserved_special... | flexible | {
"blob_id": "967984444d9e26452226b13f33c5afbc96b5fe2b",
"index": 3176,
"step-1": "<mask token>\n\n\nclass TIME_CHECK(Enum):\n <mask token>\n <mask token>\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass TIME_CHECK(Enum):\n BEFORE_START = 0\n DURING_TIME = 1\n AFTER_END = 2\n",
"step-3"... | [
1,
2,
3,
4,
5
] |
friends = ["Vino", "Ammu", "Appu"]
print(friends)
print(friends[0])
# returns the last element in the list
print(friends[-1])
# returns the second to last element in the list
print(friends[-2]) | normal | {
"blob_id": "8050b757c20da7ad8dd3c12a30b523b752d6a3ff",
"index": 9457,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(friends)\nprint(friends[0])\nprint(friends[-1])\nprint(friends[-2])\n",
"step-3": "friends = ['Vino', 'Ammu', 'Appu']\nprint(friends)\nprint(friends[0])\nprint(friends[-1])\nprint... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
def to_dict(table):
table_d = dict()
for i in range(len(table)):
for j in range(i):
table_d[i, j] = table[i][j]
table_d[j, i] = table[i][j]
return table_d
def next_key(d, original_length, ignoring_keys=[], attension_values=[]):
if len(igno... | flexible | {
"blob_id": "aee009b37b99bf44e27c608470c43834a58e0cc7",
"index": 8490,
"step-1": "<mask token>\n\n\ndef to_dict(table):\n table_d = dict()\n for i in range(len(table)):\n for j in range(i):\n table_d[i, j] = table[i][j]\n table_d[j, i] = table[i][j]\n return table_d\n\n\ndef... | [
3,
4,
5,
6,
7
] |
from django.http import HttpResponse
from django.shortcuts import render
def home(request):
return render(request, 'home.html')
def people(request):
return render(request, 'people.html')
def docs(request):
return render(request, 'docs.html')
def gallery(request, page=None):
if page:
retu... | normal | {
"blob_id": "f7a493ab8e9845d0e9da33a0ee45d7c3ef66deb5",
"index": 7507,
"step-1": "<mask token>\n\n\ndef home(request):\n return render(request, 'home.html')\n\n\n<mask token>\n\n\ndef docs(request):\n return render(request, 'docs.html')\n\n\n<mask token>\n\n\ndef publications(request):\n return render(r... | [
3,
4,
5,
7
] |
<|reserved_special_token_0|>
def main():
filename = sys.argv[1]
do_it(filename=filename)
def get_valid_userblock_size(min):
result = 2 ** int(math.ceil(math.log(min, 2)))
if result < 512:
result = 512
return result
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved... | flexible | {
"blob_id": "b20bf203a89ed73cc65db50fdbef897667fe390f",
"index": 2804,
"step-1": "<mask token>\n\n\ndef main():\n filename = sys.argv[1]\n do_it(filename=filename)\n\n\ndef get_valid_userblock_size(min):\n result = 2 ** int(math.ceil(math.log(min, 2)))\n if result < 512:\n result = 512\n re... | [
2,
3,
4,
5,
6
] |
<|reserved_special_token_0|>
class Player:
<|reserved_special_token_0|>
@property
def uri(self):
return self._uri
@uri.setter
def uri(self, value):
self._uri = value
self.player.set_state(Gst.State.NULL)
if value:
self.player.set_property('uri', value)... | flexible | {
"blob_id": "01e9ceb516a323a2017c65e368da419c6570dce2",
"index": 7304,
"step-1": "<mask token>\n\n\nclass Player:\n <mask token>\n\n @property\n def uri(self):\n return self._uri\n\n @uri.setter\n def uri(self, value):\n self._uri = value\n self.player.set_state(Gst.State.NULL... | [
3,
6,
8,
9,
10
] |
# 10.13.20 - sjg
# Exercise 15 - solution A
# Write a function called greatestCommomFactor that,
#given two distinct positive integers,
#returns the greatest common factor of those two values
#Input: greatestCommonFactor(9,12)
#Output: 3
#Input: greatestCommonFactor(6,18)
#Output: 6
#Input: greatestCommonFactor(11... | normal | {
"blob_id": "a3f6ea649fc5e60b0f8353b1404912d060686b99",
"index": 9550,
"step-1": "<mask token>\n",
"step-2": "def greatestCommonFactor(posInt1, posInt2):\n range_posInt1 = list(range(1, posInt1 + 1))\n factors_posInt1 = []\n for i in range_posInt1:\n if posInt1 % i == 0:\n factors_po... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
for files in range(30):
file = open('NewResults' + str(files + 1) + '.data')
for line in file:
if line != '\n':
j = json.loads(line)
if controller == 0:
startTime = j['metric... | flexible | {
"blob_id": "03284f20e614a5f8f5c21939acf49490d6ffd3a3",
"index": 7812,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor files in range(30):\n file = open('NewResults' + str(files + 1) + '.data')\n for line in file:\n if line != '\\n':\n j = json.loads(line)\n if contr... | [
0,
1,
2,
3,
4
] |
import openerp
from openerp import pooler
from openerp.report import report_sxw
import xlwt
from openerp.addons.report_xls.report_xls import report_xls
from openerp.tools.translate import _
class openacademy_course_xls_parser(report_sxw.rml_parse):
def __init__(self, cursor, uid, name, context):
super(openacademy_c... | normal | {
"blob_id": "5c415d5bf9d6952863a662d300cb1f706ef02a8f",
"index": 1048,
"step-1": "<mask token>\n\n\nclass openacademy_course_xls_parser(report_sxw.rml_parse):\n\n def __init__(self, cursor, uid, name, context):\n super(openacademy_course_xls_parser, self).__init__(cursor, uid,\n name, contex... | [
5,
6,
7,
8,
9
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
subprocess.call('./serve_model.sh')
subprocess.call(['flask', 'run'])
<|reserved_special_token_1|>
<|reserved_special_token_0|>
os.environ['FLASK_APP'] = 'app/app.py'
os.environ['FLASK_DEBUG'] = '1'
subprocess.call('./serve_mod... | flexible | {
"blob_id": "cbad5d6f381e788a2f064aac0a5d468f40b39c93",
"index": 3696,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nsubprocess.call('./serve_model.sh')\nsubprocess.call(['flask', 'run'])\n",
"step-3": "<mask token>\nos.environ['FLASK_APP'] = 'app/app.py'\nos.environ['FLASK_DEBUG'] = '1'\nsubprocess.c... | [
0,
1,
2,
3,
4
] |
import numpy as np
import torch
import torch.nn as nn
from utils import *
from collections import OrderedDict
from torchsummary import summary
class Model(nn.Module):
"""Example usage:
model = Model()
outputs = model(pov_tensor, feat_tensor)
"""
def __init__(self):
super(Model, self).__in... | normal | {
"blob_id": "981cfecdb50b5f3ae326bf3103163f6e814ccc95",
"index": 6857,
"step-1": "<mask token>\n\n\nclass Model(nn.Module):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass Model(nn.Module):\n <mask token>\n <mask token>\n <mask token>\n\n ... | [
1,
2,
4,
5,
6
] |
#!/usr/bin/python3
# -*- coding:utf-8 -*-
import re
def main():
s = input().strip()
s = s.replace('BC', 'X')
ans = 0
for ax in re.split(r'[BC]+', s):
inds = []
for i in range(len(ax)):
if ax[i] == 'A':
inds.append(i)
ans += sum([len(ax) - 1 - ind for ind in inds]) - sum(range(len(ind... | normal | {
"blob_id": "4100415b0df52e8e14b00dd66c7c53cd46c0ea6e",
"index": 2378,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef main():\n s = input().strip()\n s = s.replace('BC', 'X')\n ans = 0\n for ax in re.split('[BC]+', s):\n inds = []\n for i in range(len(ax)):\n ... | [
0,
1,
2,
3,
4
] |
'''
Generate a ten-character alphanumeric password with at least one lowercase,
at least one uppercase character, and at least three digits
'''
import secrets
import string
alphabets = string.ascii_letters + string.digits
while True:
password = "".join(secrets.choice(alphabets) for i in range(10))
if(a... | normal | {
"blob_id": "0c283cd31203291da24226a0eae781bd397e84d4",
"index": 9526,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nwhile True:\n password = ''.join(secrets.choice(alphabets) for i in range(10))\n if any(c.islower() for c in password) and any(c.isupper() for c in password\n ) and sum(c.isd... | [
0,
1,
2,
3,
4
] |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.