code stringlengths 13 6.09M | order_type stringclasses 2
values | original_example dict | step_ids listlengths 1 5 |
|---|---|---|---|
<|reserved_special_token_0|>
class Array:
def __init__(self, size, classname='org/python/Object', fill=None):
self.size = size
self.classname = classname
self.fill = fill
def process(self, context):
context.add_opcodes(ICONST_val(self.size), JavaOpcodes.ANEWARRAY(
... | flexible | {
"blob_id": "67e0536dc9f38ab82fe30e715599fed93c5425a5",
"index": 5142,
"step-1": "<mask token>\n\n\nclass Array:\n\n def __init__(self, size, classname='org/python/Object', fill=None):\n self.size = size\n self.classname = classname\n self.fill = fill\n\n def process(self, context):\n ... | [
12,
15,
16,
18,
23
] |
<|reserved_special_token_0|>
@app.route('/publish', methods=['GET', 'POST'])
def publish():
topic_user = request.args.get('touser')
sub_user = request.args.get('fromuser')
subscription_id = sub_user
msg = request.args.get('msg')
topic_id = topic_user
publisher = pubsub_v1.PublisherClient()
... | flexible | {
"blob_id": "a76a0631c97ba539019790e35136f6fd7573e461",
"index": 5469,
"step-1": "<mask token>\n\n\n@app.route('/publish', methods=['GET', 'POST'])\ndef publish():\n topic_user = request.args.get('touser')\n sub_user = request.args.get('fromuser')\n subscription_id = sub_user\n msg = request.args.get... | [
2,
3,
4,
5,
6
] |
##Problem 10 «The number of even elements of the sequence» (Medium)
##Statement
##Determine the number of even elements in the sequence ending with the number 0.
a = True
i = 0
while a is True:
x = int(input())
if x != 0:
if x%2 == 0:
i = i+1
else:
a =False
print(i)
| normal | {
"blob_id": "2eddd446dc59695b185be368b359bae78a868b90",
"index": 9918,
"step-1": "\n##Problem 10 «The number of even elements of the sequence» (Medium)\n##Statement\n##Determine the number of even elements in the sequence ending with the number 0. \n\n\na = True\ni = 0\nwhile a is True:\n x = int(input())\n ... | [
0
] |
import pynucastro as pyna
rl = pyna.ReacLibLibrary()
h_burn = rl.linking_nuclei(["h1", "he4",
"c12", "c13",
"n13", "n14", "n15",
"o14", "o15", "o16","o17","o18",
"f17", "f18","f19",
... | normal | {
"blob_id": "39b07f1a515787e80a1fb822e67e19e2301b894a",
"index": 3285,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nrc.write_network()\n<mask token>\ncomp.set_solar_like()\nrc.plot(outfile='cno_extras.png', rho=1000000.0, T=100000000.0, comp=comp,\n Z_range=[1, 13], N_range=[1, 13])\nrc.plot(outfile... | [
0,
1,
2,
3,
4
] |
"""
Python Challenge - Level 1 - What about making trans?
"""
import string
#import requests
#res = requests.get('http://www.pythonchallenge.com/pc/def/map.html')
#res.raise_for_status()
#print(res.text)
INPUT_TEXT = string.ascii_lowercase # abcdefghijklmnopqrstuvwxyz
OUTPUT_TEXT = INPUT_TEXT[2:]+INPUT_TEXT[:2... | normal | {
"blob_id": "3c03f71ef9de8825ecd7c89208c79f43c9fb7a56",
"index": 9594,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint('http://www.pythonchallenge.com/pc/def/ocr.html')\n",
"step-3": "<mask token>\nINPUT_TEXT = string.ascii_lowercase\nOUTPUT_TEXT = INPUT_TEXT[2:] + INPUT_TEXT[:2]\nTRANSLATION_TABL... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
class Job:
"""
Job class which stores the attributes of the jobs
"""
def __init__(self, day, startTime, endTime, noOfChildren, hourlyRate):
self.day = day
self.startTime = startTime
self.endTime = endTime
self.noOfChildren = noOfChildren
... | flexible | {
"blob_id": "f57fa2787934dc2a002f82aa1af1f1d9a7f90da5",
"index": 9947,
"step-1": "<mask token>\n\n\nclass Job:\n \"\"\"\n Job class which stores the attributes of the jobs\n \"\"\"\n\n def __init__(self, day, startTime, endTime, noOfChildren, hourlyRate):\n self.day = day\n self.startTi... | [
9,
11,
12,
13,
14
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def main(windowController, *args, **kwargs):
textView = windowController.textView()
document = windowController.document()
if textView != None:
dateFormat = time.strftime('%Y.%m.%d')
textView.insertTe... | flexible | {
"blob_id": "e51ca78ca6751f8238a39d3eae55d6cc6ab65128",
"index": 5797,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef main(windowController, *args, **kwargs):\n textView = windowController.textView()\n document = windowController.document()\n if textView != None:\n dateFormat = ti... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
def downgrade():
op.drop_index('ix_ballot_measure_tags_ballot_measure_id',
'ballot_measure_tags')
op.drop_index('ix_ballot_measure_tags_tag_id', 'ballot_measure_tags')
op.drop_table(u'ballot_measure_tags')
op.drop_index('ix_stance_committee_id', 'stance')
op.dr... | flexible | {
"blob_id": "7df55853d0f4f1bf56512c4427d7f91e9c1f2279",
"index": 6524,
"step-1": "<mask token>\n\n\ndef downgrade():\n op.drop_index('ix_ballot_measure_tags_ballot_measure_id',\n 'ballot_measure_tags')\n op.drop_index('ix_ballot_measure_tags_tag_id', 'ballot_measure_tags')\n op.drop_table(u'ballo... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
mpl.style.use('classic')
<|reserved_special_token_0|>
ax1.plot(chi2, color='r', linestyle='--', linewidth=2, markersize=5, label=
'$\\chi^B_2$')
ax1.axis([0, 300, -0.05, 0.2])
ax1.set_xlabel('$T\\,[\\mathrm{MeV}]$', fontsize=1... | flexible | {
"blob_id": "66904cbe3e57d9cc1ee385cd8a4c1ba3767626bd",
"index": 923,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nmpl.style.use('classic')\n<mask token>\nax1.plot(chi2, color='r', linestyle='--', linewidth=2, markersize=5, label=\n '$\\\\chi^B_2$')\nax1.axis([0, 300, -0.05, 0.2])\nax1.set_xlabel('$... | [
0,
1,
2,
3,
4
] |
from discord.ext import commands
import discord
import os
import random
bot = commands.Bot(command_prefix="!")
@bot.event
async def on_ready():
print(f"Logged in as {bot.user.name}")
@bot.command()
async def ping(ctx):
await ctx.send("pong")
# Lucky command, it picks a number between 0-50 and spams your dm'... | normal | {
"blob_id": "b48bc9475a8dc593ba858af8ed4e930ae290fd69",
"index": 6479,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\n@bot.event\nasync def on_ready():\n print(f'Logged in as {bot.user.name}')\n\n\n@bot.command()\nasync def ping(ctx):\n await ctx.send('pong')\n\n\n@bot.command()\nasync def luck... | [
0,
1,
2,
3,
4
] |
from extras.plugins import PluginTemplateExtension
from .models import BGPSession
from .tables import BGPSessionTable
class DeviceBGPSession(PluginTemplateExtension):
model = 'dcim.device'
def left_page(self):
if self.context['config'].get('device_ext_page') == 'left':
return self.x_page(... | normal | {
"blob_id": "be566041402dc1705aa9d644edc44de8792fbb3c",
"index": 4850,
"step-1": "<mask token>\n\n\nclass DeviceBGPSession(PluginTemplateExtension):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\nclass DeviceBGPSessio... | [
1,
4,
7,
8
] |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Fri Oct 15 15:36:38 2021
@author: mav24
"""
import pandas as pd
import numpy as np
from sklearn.preprocessing import QuantileTransformer, StandardScaler, PowerTransformer, MaxAbsScaler
from sklearn.cross_decomposition import PLSRegression
from sklearn.en... | normal | {
"blob_id": "4a17db6b65e1615b0d519581b3e63bc34ad16093",
"index": 1288,
"step-1": "<mask token>\n",
"step-2": "<mask token>\ndata.drop(columns=drop, inplace=True)\n<mask token>\nmodel.fit(X_train, Y_train)\n<mask token>\nprint('With Standar Scaler')\nprint(f'The R2 accuracy is: {r2(Y_test, pred_test)}')\nprint(... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
if answ[1] == 'дата':
apisay(datetime.date.today(), toho, torep)
| flexible | {
"blob_id": "66444047f9e5eea845c8ac2dbaaf16fc2914d6ec",
"index": 370,
"step-1": "<mask token>\n",
"step-2": "if answ[1] == 'дата':\n apisay(datetime.date.today(), toho, torep)\n",
"step-3": null,
"step-4": null,
"step-5": null,
"step-ids": [
0,
1
]
} | [
0,
1
] |
import multiprocessing
import sys
import warnings
from pathlib import Path
import attr
import librosa
import pandas as pd
from rich.progress import BarColumn, Progress, TimeRemainingColumn
from sklearn.preprocessing import LabelEncoder
from tslearn.piecewise import SymbolicAggregateApproximation
from tslearn.preproces... | normal | {
"blob_id": "0e57e25c11ba97aef5467f61d99065609e127f5b",
"index": 2782,
"step-1": "<mask token>\n\n\n@attr.s\nclass MusicDB(object):\n <mask token>\n <mask token>\n <mask token>\n\n @feat.default\n def _feat_default(self):\n our_feat = utils.load_tracks(givegenre=True, outliers=False, fill=F... | [
4,
6,
8,
9,
11
] |
import sys
import time
import numpy
import pb_robot
import pyquaternion
import pybullet as p
from copy import deepcopy
from actions import PlaceAction, make_platform_world
from block_utils import get_adversarial_blocks, rotation_group, ZERO_POS, \
Quaternion, get_rotated_block, Pose, add_noise,... | normal | {
"blob_id": "5c1465bc70010ecabc156a04ec9877bbf66a229d",
"index": 5150,
"step-1": "<mask token>\n\n\nclass PandaAgent:\n\n def __init__(self, blocks, noise=5e-05, block_init_xy_poses=None,\n use_platform=False, use_vision=False, real=False,\n use_planning_server=False, use_learning_server=False,\... | [
20,
22,
24,
25,
26
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
from .models import CNNClassifier, load_weights, LastLayer_Alexnet, classes, MyResNet
from .transforms import image_transforms, tensor_transform
from .utils import newest_model, Dataset, load_data
| flexible | {
"blob_id": "17781ae5e9c72232fbc11c7eda7daeaeb0fa3670",
"index": 9277,
"step-1": "<mask token>\n",
"step-2": "from .models import CNNClassifier, load_weights, LastLayer_Alexnet, classes, MyResNet\nfrom .transforms import image_transforms, tensor_transform\nfrom .utils import newest_model, Dataset, load_data\n"... | [
0,
1
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
while True:
r, f = stream.read()
cv2.imshow('IP Camera stream', f)
if cv2.waitKey(1) & 255 == ord('q'):
break
cv2.destroyAllWindows()
<|reserved_special_token_1|>
<|reserved_special_token_0|>
stream = cv2.Vi... | flexible | {
"blob_id": "f9db3c96bc3fd4911640d0428672c87072564b0d",
"index": 710,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nwhile True:\n r, f = stream.read()\n cv2.imshow('IP Camera stream', f)\n if cv2.waitKey(1) & 255 == ord('q'):\n break\ncv2.destroyAllWindows()\n",
"step-3": "<mask token>... | [
0,
1,
2,
3,
4
] |
# -*- coding: utf-8 -*-
from sqlalchemy import or_
from ..extensions import db
from .models import User
def create_user(username):
user = User(username)
db.session.add(user)
return user
def get_user(user_id=None, **kwargs):
if user_id is not None:
return User.query.get(user_id)
username ... | normal | {
"blob_id": "49c15f89225bb1dd1010510fe28dba34f6a8d085",
"index": 4866,
"step-1": "<mask token>\n\n\ndef get_user(user_id=None, **kwargs):\n if user_id is not None:\n return User.query.get(user_id)\n username = kwargs.pop('username')\n if username is not None:\n return User.query.filter_by(... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
def strictly_greater_than(value):
if value:
return 'Greater than 100'
elif value:
return 'Greater than 10'
else:
return '10 or less'
<|reserved_special_token_0|>
<|reserved_special_token_1|>
def strictly_greater_than(v... | flexible | {
"blob_id": "7620d76afc65ceb3b478f0b05339ace1f1531f7d",
"index": 6708,
"step-1": "<mask token>\n",
"step-2": "def strictly_greater_than(value):\n if value:\n return 'Greater than 100'\n elif value:\n return 'Greater than 10'\n else:\n return '10 or less'\n\n\n<mask token>\n",
"s... | [
0,
1,
2,
3
] |
import tensorflow.keras
from PIL import Image, ImageOps
from os import listdir
from os.path import isfile, join
import numpy as np
import glob
import cv2
np.set_printoptions(suppress = True)
# Load the model
model = tensorflow.keras.models.load_model('./converted_keras/keras_model.h5')
# Create the array of the righ... | normal | {
"blob_id": "13b69ec61d6b2129f1974ce7cae91c84100b3b58",
"index": 449,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nnp.set_printoptions(suppress=True)\n<mask token>\nfor image in path:\n n1 = cv2.imread(image)\n n2 = cv2.resize(n1, (244, 244))\n images.append(n2)\n print(image)\n<mask token>... | [
0,
1,
2,
3,
4
] |
permissions = ('restart', )
commands = ('restart', )
def get_command(session, parsed_message):
return 'stop', 'restart'
def parse_response(permission, response):
return response
| normal | {
"blob_id": "acd5cf675522c90fc9fbc96bdeb52f66835626b4",
"index": 3489,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef parse_response(permission, response):\n return response\n",
"step-3": "<mask token>\n\n\ndef get_command(session, parsed_message):\n return 'stop', 'restart'\n\n\ndef pars... | [
0,
1,
2,
3,
4
] |
# This module is used to load pascalvoc datasets (2007 or 2012)
import os
import tensorflow as tf
from configs.config_common import *
from configs.config_train import *
from configs.config_test import *
import sys
import random
import numpy as np
import xml.etree.ElementTree as ET
# Original dataset organisation.
DIR... | normal | {
"blob_id": "c33d625ebd6a40551d2ce0393fd78619601ea7ae",
"index": 5834,
"step-1": "<mask token>\n\n\nclass Dataset(object):\n\n def __init__(self):\n self.items_descriptions = {'image':\n 'A color image of varying height and width.', 'shape':\n 'Shape of the image', 'object/bbox':\... | [
11,
12,
13,
14,
16
] |
<|reserved_special_token_0|>
class VelocityLoss(nn.Module):
def __init__(self, _mean, _std, config):
super(VelocityLoss, self).__init__()
self._mean = _mean
self._std = _std
self.device = config.device
self.root_pos_dim = config.root_pos_dim
self.pos_dim = config.p... | flexible | {
"blob_id": "edc66bdc365f9c40ee33249bd2d02c0c5f28256a",
"index": 8386,
"step-1": "<mask token>\n\n\nclass VelocityLoss(nn.Module):\n\n def __init__(self, _mean, _std, config):\n super(VelocityLoss, self).__init__()\n self._mean = _mean\n self._std = _std\n self.device = config.devi... | [
14,
18,
19,
23,
24
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
for i in red:
turtle.forward(200)
turtle.left(90)
turtle.done()
<|reserved_special_token_1|>
<|reserved_special_token_0|>
red = range(4)
for i in red:
turtle.forward(200)
turtle.left(90)
turtle.done()
<|reserv... | flexible | {
"blob_id": "38fceb57977cb792be1a63e8571cd222facdf656",
"index": 1142,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor i in red:\n turtle.forward(200)\n turtle.left(90)\nturtle.done()\n",
"step-3": "<mask token>\nred = range(4)\nfor i in red:\n turtle.forward(200)\n turtle.left(90)\nturt... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
class Version(BaseVersion):
def __init__(self, connection):
super().__init__(connection)
def update(self, force=False):
"""
:param force:
:return:
"""
log.info('Updating to version %s' % DB_VERSION)
try:
log.in... | flexible | {
"blob_id": "12fd4e3bfb6821205a9b65b4d236b4158ec4ef1e",
"index": 7345,
"step-1": "<mask token>\n\n\nclass Version(BaseVersion):\n\n def __init__(self, connection):\n super().__init__(connection)\n\n def update(self, force=False):\n \"\"\"\n\n :param force:\n :return:\n \"... | [
3,
4,
5,
6,
7
] |
<|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": "5485fe4f612ededc11e3a96dfd546e97a56cbe2a",
"index": 3316,
"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
] |
import os
import sys
import requests
import urllib.parse
import urllib.request
import json
from shutil import copyfile
def sdssDownload(band, location, size, path):
"""
.
sdssArchie populates a directory with links to raw images
from the SDSS mission. These images are all in FITS format
and su... | normal | {
"blob_id": "459bd36037158c9a6a38da6eadf45a3dc6f19e04",
"index": 4405,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef sdssDownload(band, location, size, path):\n \"\"\"\n .\n sdssArchie populates a directory with links to raw images \n from the SDSS mission. These images are all in F... | [
0,
1,
2,
3
] |
from .most_serializers import *
| normal | {
"blob_id": "a718949ed95b7d78f091b1e0f237eed151b102ae",
"index": 2160,
"step-1": "<mask token>\n",
"step-2": "from .most_serializers import *\n",
"step-3": null,
"step-4": null,
"step-5": null,
"step-ids": [
0,
1
]
} | [
0,
1
] |
#!/usr/bin/python3
import requests
import urllib3
urllib3.disable_warnings()
response = requests.get('https://freeaeskey.xyz', verify=False)
data = response.text.encode('utf-8')
key = data[data.index(b'<b>')+3:data.index(b'</b>')]
print(key.decode('ascii'))
| normal | {
"blob_id": "368e209f83cc0cade81791c8357e01e7e3f940c8",
"index": 97,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nurllib3.disable_warnings()\n<mask token>\nprint(key.decode('ascii'))\n",
"step-3": "<mask token>\nurllib3.disable_warnings()\nresponse = requests.get('https://freeaeskey.xyz', verify=Fals... | [
0,
1,
2,
3,
4
] |
# Copyright (C) 2020 Francis Sun, all rights reserved.
"""A copyright utility"""
import datetime
import argparse
import os
import os.path
class Copyright:
_file_type = {
'c/c++': ['h', 'c', 'cpp', 'cc'],
'python': ['py'],
'cmake': ['cmake'],
'vim': ['vim'],
... | normal | {
"blob_id": "dc05a441c21a67fbb3a1975b3fccb865a32731c8",
"index": 4642,
"step-1": "<mask token>\n\n\nclass Copyright:\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n def _c_cpp_formater(self):\n return '/* ' + self.declaration + ' */'\n for ft in _file_type['c/c++']:\n ... | [
5,
7,
11,
12,
13
] |
import os
import pandas as pd
from tabulate import tabulate
if __name__ == '__main__':
bestPrecision = [0,0,0,0,0,0]
bestPrecisionFile = ['','','','','','']
bestRecall = [0,0,0,0,0,0]
bestRecallFile = ['','','','','','']
bestSupport = [0,0,0,0,0,0]
bestSupportFile = ['','','','','','']
bes... | normal | {
"blob_id": "22c498d84f40455d89ed32ccf3bf8778cb159579",
"index": 79,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nif __name__ == '__main__':\n bestPrecision = [0, 0, 0, 0, 0, 0]\n bestPrecisionFile = ['', '', '', '', '', '']\n bestRecall = [0, 0, 0, 0, 0, 0]\n bestRecallFile = ['', '', '', ... | [
0,
1,
2,
3
] |
#!/usr/bin/env python
#****************************************************************************
# fieldformat.py, provides non-GUI base classes for field formating
#
# TreeLine, an information storage program
# Copyright (C) 2006, Douglas W. Bell
#
# This is free software; you can redistribute it and/or modify it ... | normal | {
"blob_id": "5e1398ed628917a42cc465e7cc2979601f0f4fbc",
"index": 7865,
"step-1": "<mask token>\n\n\nclass DateFormat(TextFormat):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n def __init__(self, name, attrs={}):\n \"\"\... | [
100,
168,
171,
173,
175
] |
<|reserved_special_token_0|>
def _get_change_making_matrix(set_of_coins, r):
matrix = [[(0) for _ in range(r + 1)] for _ in range(len(set_of_coins) + 1)
]
for i in range(1, len(set_of_coins) + 1):
matrix[i][0] = i
return matrix
def change_making(coins, target):
"""This function assum... | flexible | {
"blob_id": "f15bc62fad2c47fed2e9e5d269284ebe7487b789",
"index": 2297,
"step-1": "<mask token>\n\n\ndef _get_change_making_matrix(set_of_coins, r):\n matrix = [[(0) for _ in range(r + 1)] for _ in range(len(set_of_coins) + 1)\n ]\n for i in range(1, len(set_of_coins) + 1):\n matrix[i][0] = i\... | [
2,
3,
4,
5,
6
] |
<|reserved_special_token_0|>
class Category(models.Model):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
def __str__(self):
return self.category
class Subcategory(models.Model):
name = models.ForeignKey(Category, on_delete=models.CASCADE, null=Tr... | flexible | {
"blob_id": "a0dcfb738451c11ed4ff1428629c3f7bbf5c52c9",
"index": 5649,
"step-1": "<mask token>\n\n\nclass Category(models.Model):\n <mask token>\n <mask token>\n <mask token>\n\n def __str__(self):\n return self.category\n\n\nclass Subcategory(models.Model):\n name = models.ForeignKey(Categ... | [
17,
20,
22,
24,
30
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class Base:
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class Base:
def getTime(self):
"""
获取时间戳
:return:
"""
return str(time.time... | flexible | {
"blob_id": "28a920072bad1b411d71f7f70cd991cb7dfbeb8c",
"index": 8754,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass Base:\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass Base:\n\n def getTime(self):\n \"\"\"\n 获取时间戳\n :return: \n \"\"\"\n retur... | [
0,
1,
2,
3,
4
] |
from typing import List
def uppercase_first_letter(string: str) ->str:
return string[0:1].upper() + string[1:]
string_list: List[str] = input('Please, input string: ').split(' ')
result: str = ''
for i, value in enumerate(string_list):
result += (lambda index: '' if index == 0 else ' ')(i
) + upperc... | normal | {
"blob_id": "0555c577a8fb746cf2debb929d02b46cd3be4d7b",
"index": 1062,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef uppercase_first_letter(string: str) ->str:\n return string[0:1].upper() + string[1:]\n\n\n<mask token>\n",
"step-3": "<mask token>\n\n\ndef uppercase_first_letter(string: str... | [
0,
1,
2,
3
] |
from interpreter import Interpreter
from pretty_print import PrettyPrint
from ast import Operator, Operation, Element
class Token:
operator = False
empty = False
def __init__(self, token):
self.token = token
if token == '+':
self.operator = True
elif token == '-':
... | normal | {
"blob_id": "0d6c1e74a274b3e8ad9c63ecaa125f79976db9b4",
"index": 1734,
"step-1": "<mask token>\n\n\nclass Token:\n operator = False\n empty = False\n\n def __init__(self, token):\n self.token = token\n if token == '+':\n self.operator = True\n elif token == '-':\n ... | [
10,
11,
13,
15,
16
] |
from api.decidim_connector import DecidimConnector
from api.participatory_processes_reader import ParticipatoryProcessesReader
from api.version_reader import VersionReader
API_URL = "https://meta.decidim.org/api"
decidim_connector = DecidimConnector(API_URL)
version_reader = VersionReader(decidim_connector)
version = ... | normal | {
"blob_id": "88a469eba61fb6968db8cc5e1f93f12093b7f128",
"index": 6973,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(version)\n<mask token>\n",
"step-3": "<mask token>\nAPI_URL = 'https://meta.decidim.org/api'\ndecidim_connector = DecidimConnector(API_URL)\nversion_reader = VersionReader(decidim... | [
0,
1,
2,
3,
4
] |
# -*- coding: utf-8 -*-
"""
Created on Tue Mar 16 16:11:46 2021
@author: Suman
"""
import numpy as np
import cv2
rect = (0,0,0,0)
startPoint = False
endPoint = False
def mark_object(event,x,y,flags,params):
global rect,startPoint,endPoint
# get mouse click
if event == cv2.EVENT_LB... | normal | {
"blob_id": "0f3e19b02dbe508bc4e0ef7879af81a9eabfd8c9",
"index": 6141,
"step-1": "<mask token>\n\n\ndef mark_object(event, x, y, flags, params):\n global rect, startPoint, endPoint\n if event == cv2.EVENT_LBUTTONDOWN:\n if startPoint == True and endPoint == True:\n startPoint = False\n ... | [
1,
2,
3,
4,
5
] |
from django.shortcuts import render
from django.http import HttpResponse, HttpResponseRedirect
from interface_app.models import TestTask, TestCase
from interface_app.extend.task_run import run_cases
import os
import json
from interface_app.apps import TASK_PATH, RUN_TASK_FILE
"""
说明：接口任务文件，返回HTML页面
"""
# 获取任务列表
def... | normal | {
"blob_id": "8be70543a7aa177d9ad48fb736228b1ffba5df16",
"index": 6179,
"step-1": "<mask token>\n\n\ndef run_task(request, tid):\n if request.method == 'GET':\n task_obj = TestTask.objects.get(id=tid)\n cases_list = task_obj.cases.split(',')\n cases_list.pop(-1)\n task_obj.status = ... | [
1,
2,
3,
4,
5
] |
import reddit
import tts
import sys
import praw
import os
#TODO: CENSOR CURSE WORDS,tag images that have curse words in them. strip punctuation from comment replies mp3
#TODO: pay for ads :thinking: buy views?
#TODO: sort by top upvotes
#todo: remove the formatting stuff
#todo: redo ducking
#todo quick scri... | normal | {
"blob_id": "fd57e13269ca00ed5eb05e00bd7999c041141187",
"index": 4256,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(f'NOW PROCESSING POST ID: {POST_ID}')\n<mask token>\ntts.comment_to_mp3(post_title, './quota.txt', 'titles', 0, randomize=True)\n<mask token>\nfor comment in comments_from_post:\n ... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
def _load_img(fp):
img = cv2.imread(fp, cv2.IMREAD_UNCHANGED)
if img.ndim == 3:
img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
return img
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def _load_img(fp):
img = cv2.imread(f... | flexible | {
"blob_id": "559e46aa4e9b55f8c01acf30fa01e106ab914116",
"index": 5687,
"step-1": "<mask token>\n\n\ndef _load_img(fp):\n img = cv2.imread(fp, cv2.IMREAD_UNCHANGED)\n if img.ndim == 3:\n img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)\n return img\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\nde... | [
1,
2,
3,
4,
5
] |
#!/usr/bin/env python
# coding: utf-8
# In[19]:
import numpy as np
import pandas as pd
class simple_nn():
'''
This is simple nn class with 3 layers NN. In this class additional layer was added to the original layers
from notebook given by Julian Stier and Sahib Julka.
Moreover those functions were... | normal | {
"blob_id": "cdc32e7c767097a0eb0def71e55f0276982d6a96",
"index": 5235,
"step-1": "#!/usr/bin/env python\n# coding: utf-8\n\n# In[19]:\n\n\nimport numpy as np\nimport pandas as pd\n\nclass simple_nn():\n '''\n This is simple nn class with 3 layers NN. In this class additional layer was added to the origin... | [
0
] |
#!/usr/bin/env python3
import logging
import datetime
import os
import time
import json
import prod
import secret
from logging.handlers import RotatingFileHandler
import requests
import sns
from kafka import KafkaProducer
logger = logging.getLogger()
logger.setLevel('INFO')
log_path = os.path.basename(__file__).split... | normal | {
"blob_id": "283b93437072f0fd75d75dab733ecab05dc9e1f3",
"index": 3872,
"step-1": "<mask token>\n\n\nclass Producer:\n\n def __init__(self, topic):\n kafka_uname = os.environ['KAFKA_USERNAME']\n kafka_pwd = os.environ['KAFKA_PASSWORD']\n kafka_hosts = os.environ['KAFKA_HOSTS']\n ssl... | [
4,
7,
8,
9,
11
] |
# Generated by Django 3.0.4 on 2020-03-29 09:27
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('portfolio_app', '0008_feedback_product'),
]
operations = [
migrations.RemoveField(
model_name='feedback',
name... | normal | {
"blob_id": "11ad3e1ab4ffd491e27998a7235b7e18857632ed",
"index": 3141,
"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 = [('portfolio_a... | [
0,
1,
2,
3,
4
] |
from __future__ import print_function, unicode_literals
import sys
import ast
import os
import tokenize
import warnings
from io import StringIO
def interleave(inter, f, seq):
"""Call f on each item in seq, calling inter() in between.
"""
seq = iter(seq)
try:
f(next(seq))
except StopIteratio... | normal | {
"blob_id": "8443d208a6a6bef82240235eeadbf6f8eaf77bcb",
"index": 2995,
"step-1": "<mask token>\n\n\nclass CodeGenerator:\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask t... | [
43,
45,
82,
94,
103
] |
# 938. Range Sum of BST
# Share
# Given the root node of a binary search tree, return the sum of values of all nodes with value between L and R (inclusive).
# The binary search tree is guaranteed to have unique values.
# Example 1:
# Input: root = [10,5,15,3,7,null,18], L = 7, R = 15
# Output: 32
# Example 2:
... | normal | {
"blob_id": "8e1de62f2490d2276a834ae1ab0f1958649fa821",
"index": 5503,
"step-1": "<mask token>\n",
"step-2": "class Solution:\n <mask token>\n <mask token>\n",
"step-3": "class Solution:\n <mask token>\n\n def cal_sum(self, root, L, R, result):\n if not root:\n return result\n ... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
print(ports)
for p in ports:
print(p[1])
if 'Arduino' in p[1]:
ser = serial.Serial(port=p[0])
else:
print('No Arduino Device was found connected to the computer')
<|reserved_special_token_0|>
while True... | flexible | {
"blob_id": "7c80c98e32f386362003ac3cd729fa9b279b8e8e",
"index": 7316,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(ports)\nfor p in ports:\n print(p[1])\n if 'Arduino' in p[1]:\n ser = serial.Serial(port=p[0])\n else:\n print('No Arduino Device was found connected to the c... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
for img in img_list:
print(img['src'])
<|reserved_special_token_1|>
<|reserved_special_token_0|>
url = 'http://www.pythonscraping.com/pages/page3.html'
html = urlopen(url)
html_data = BeautifulSoup(html.read(), 'lxml')
img_... | flexible | {
"blob_id": "00609c4972269c36bbfcf5bec2a8648f812b6092",
"index": 9422,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor img in img_list:\n print(img['src'])\n",
"step-3": "<mask token>\nurl = 'http://www.pythonscraping.com/pages/page3.html'\nhtml = urlopen(url)\nhtml_data = BeautifulSoup(html.read... | [
0,
1,
2,
3,
4
] |
# -*- coding: utf-8 -*-
"""Utilities for reading BEL Script."""
import time
from typing import Iterable, Mapping, Optional, Set
from .constants import (
ANNOTATION_PATTERN_FMT, ANNOTATION_URL_FMT, NAMESPACE_PATTERN_FMT, NAMESPACE_URL_FMT, format_annotation_list,
)
__all__ = [
'make_knowledge_header',
]
de... | normal | {
"blob_id": "46b8d0ba58d4bf17021b05fc03bd480802f65adf",
"index": 6132,
"step-1": "<mask token>\n\n\ndef make_knowledge_header(name: str, version: Optional[str]=None,\n description: Optional[str]=None, authors: Optional[str]=None, contact:\n Optional[str]=None, copyright: Optional[str]=None, licenses: Optio... | [
3,
4,
5,
6,
7
] |
<|reserved_special_token_0|>
def K_step(x):
if not x.shape:
return S.One
assert len(x.shape) == 1
n = x.shape[0]
if n == 2:
return x[1]
return Piecewise((1, Equal(n, 1)), (x[1], Equal(n, 2)), (K(x[:n - 1]) *
x[n - 1] + K(x[:n - 2]), True))
<|reserved_special_token_0|>
@... | flexible | {
"blob_id": "b00c07ee3cdba55800c9701b7b8b0e3c9079e9f8",
"index": 6272,
"step-1": "<mask token>\n\n\ndef K_step(x):\n if not x.shape:\n return S.One\n assert len(x.shape) == 1\n n = x.shape[0]\n if n == 2:\n return x[1]\n return Piecewise((1, Equal(n, 1)), (x[1], Equal(n, 2)), (K(x[:n... | [
3,
4,
5,
6,
7
] |
from golem import actions
from projects.golem_integration.pages import golem_steps
description = 'close_window_by_partial_title action'
def test(data):
actions.navigate(data.env.url + 'tabs/')
actions.send_keys('#title', 'lorem ipsum')
actions.click('#goButtonCustom')
actions.assert_amount_of_windows(... | normal | {
"blob_id": "8fe45332ce09195beabb24c8cbb56868c564ded4",
"index": 2132,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef test(data):\n actions.navigate(data.env.url + 'tabs/')\n actions.send_keys('#title', 'lorem ipsum')\n actions.click('#goButtonCustom')\n actions.assert_amount_of_windo... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
def get_human_choice():
print('(1) Rock\n(2) Paper\n(3) Scissors')
return OPTIONS[int(input('Enter the number of your choice: ')) - 1]
def get_computer_choice():
return random.choice(OPTIONS)
def print_choices(human_choice, computer_choice):
print(f'You chose {human_ch... | flexible | {
"blob_id": "2e6bce05c8ba21aa322e306d2cdb8871531d7341",
"index": 5499,
"step-1": "<mask token>\n\n\ndef get_human_choice():\n print('(1) Rock\\n(2) Paper\\n(3) Scissors')\n return OPTIONS[int(input('Enter the number of your choice: ')) - 1]\n\n\ndef get_computer_choice():\n return random.choice(OPTIONS)... | [
6,
7,
8,
9
] |
<|reserved_special_token_0|>
def maskRCNN_model():
config_file = (
'/home/raj/data/Raj/IndividualProject/maskRCNN/configs/caffe2/e2e_mask_rcnn_R_50_FPN_1x_caffe2.yaml'
)
cfg.merge_from_file(config_file)
cfg.merge_from_list(['MODEL.DEVICE', 'cpu'])
coco_demo = COCODemo(cfg, min_image_si... | flexible | {
"blob_id": "2c8b8e9767ac8400fb6390e0851d9df10df7cd8c",
"index": 8729,
"step-1": "<mask token>\n\n\ndef maskRCNN_model():\n config_file = (\n '/home/raj/data/Raj/IndividualProject/maskRCNN/configs/caffe2/e2e_mask_rcnn_R_50_FPN_1x_caffe2.yaml'\n )\n cfg.merge_from_file(config_file)\n cfg.me... | [
4,
5,
6,
7,
8
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
for i in range(len(lines)):
if i + 1 < len(lines):
lines[i] = str("'") + str(lines[i]).replace('\r', '').replace('\n', ''
) + str("',")
elif i + 1 == len(lines):
lines[i] = str("'") + str(lines[... | flexible | {
"blob_id": "454fd88af552d7a46cb39167f21d641420973959",
"index": 2312,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor i in range(len(lines)):\n if i + 1 < len(lines):\n lines[i] = str(\"'\") + str(lines[i]).replace('\\r', '').replace('\\n', ''\n ) + str(\"',\")\n elif i + 1 ==... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
while True:
elem = input('Enter a letter : (type quit to quit) ')
if elem.lower() != 'quit':
newList.append(elem)
else:
break
for item in newList:
if item not in noDuplicate:
noDuplicate.app... | flexible | {
"blob_id": "7273592ab8fea10d9a3cde58690063690c74b746",
"index": 4635,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nwhile True:\n elem = input('Enter a letter : (type quit to quit) ')\n if elem.lower() != 'quit':\n newList.append(elem)\n else:\n break\nfor item in newList:\n i... | [
0,
1,
2,
3
] |
from django.core.management.base import BaseCommand, CommandError
from tasks.redisqueue import RedisQueue
from django.conf import settings
class Command(BaseCommand):
def handle(self, *args, **options):
rqueue = RedisQueue(settings.REDIS_URL)
rqueue.worker()
| normal | {
"blob_id": "cccf6ec50ae00d8e00a1a53ea06fa8b6d061b72e",
"index": 8258,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass Command(BaseCommand):\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass Command(BaseCommand):\n\n def handle(self, *args, **options):\n rqueue = RedisQueue(se... | [
0,
1,
2,
3
] |
# -*- coding: utf-8 -*-
__author__ = 'tqs'
from win32com.client import Dispatch
import win32com.client
import time
import os
import re
import win32api
'''
windows操作部分说明：
考试波及知识点：
1.删除文件及文件夹
2.复制文件及文件夹
3.移动文件及文件夹
4.文件及文件夹改名
5.文件属性
考试样例：
1、在“蕨类植物”文件夹中，新建一个子文件夹“薄囊蕨类”。
2、将文件“淡水藻.ddd”移动到“藻类植物”文件夹中。
3、设置“螺旋藻.aaa”文件属性为“只读”... | normal | {
"blob_id": "b453006b4d4c5f17bb58110fe8197d7796ca0c6c",
"index": 467,
"step-1": "<mask token>\n\n\nclass ExcelOperation:\n\n def __init__(self, filename=None):\n self.xlApp = win32com.client.Dispatch('Excel.Application')\n if filename:\n self.filename = filename\n self.xlBo... | [
42,
52,
64,
71,
87
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class face_verifier:
<|reserved_special_token_0|>
def verify_person(self, f1, f2):
batch_tensor = torch.cat([f1, f2], 0)
output_feat = self.model(batch_tensor.cuda())
sim = torch.nn.CosineSimilar... | flexible | {
"blob_id": "0659df48bb150582917e333a7a25d2d25395dfda",
"index": 1381,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass face_verifier:\n <mask token>\n\n def verify_person(self, f1, f2):\n batch_tensor = torch.cat([f1, f2], 0)\n output_feat = self.model(batch_tensor.cuda())\n ... | [
0,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
def EPGAD(ReportPath, Hi=None, GUi=None):
if Hi == None:
Hi = sha256(str(random()).encode()).hexdigest()
jsn = open(ReportPath, 'rt').read()
jsnld = loads(jsn)
print('Report Loaded')
print('Finding Subject Information')
if 'subject' in jsnld.keys():
... | flexible | {
"blob_id": "8f554166c28fe4c9a093568a97d39b6ba515241b",
"index": 3196,
"step-1": "<mask token>\n\n\ndef EPGAD(ReportPath, Hi=None, GUi=None):\n if Hi == None:\n Hi = sha256(str(random()).encode()).hexdigest()\n jsn = open(ReportPath, 'rt').read()\n jsnld = loads(jsn)\n print('Report Loaded')\n... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
print(was)
<|reserved_special_token_1|>
was = input()
print(was)
| flexible | {
"blob_id": "e12c411814efd7cc7417174b51f0f756589ca40b",
"index": 3325,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(was)\n",
"step-3": "was = input()\nprint(was)\n",
"step-4": null,
"step-5": null,
"step-ids": [
0,
1,
2
]
} | [
0,
1,
2
] |
"""
-------------------------------------------------------
Stack utilities
-------------------------------------------------------
Author: Evan Attfield
ID: 180817010
Email: attf7010@mylaurier.ca
__updated__ = "Jan 22, 2019"
-------------------------------------------------------
"""
from Stack_array... | normal | {
"blob_id": "dab9b58b08b562d902ee0ae1104198cb1ebbffe5",
"index": 1928,
"step-1": "<mask token>\n\n\ndef array_to_stack(stack, source):\n \"\"\"\n -------------------------------------------------------\n Pushes contents of source onto stack. At finish, source is empty.\n Last value in source is at bo... | [
4,
9,
12,
13,
14
] |
from web3.auto.infura import w3
import json
import os
with open("contract_abi.json") as f:
info_json = json.load(f)
abi = info_json
mycontract = w3.eth.contract(address='0x091FDeb7990D3E00d13c31b81841d56b33164AD7', abi=abi)
myfilter = mycontract.events.currentResponderState.createFilter(fromBlock=16147303)
#myfilt... | normal | {
"blob_id": "8921c0a17e90f7113d1e0be630a15fc9d74d1780",
"index": 8519,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nwith open('contract_abi.json') as f:\n info_json = json.load(f)\n<mask token>\nprint(abi)\nprint(myfilter)\n",
"step-3": "<mask token>\nwith open('contract_abi.json') as f:\n info... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
def getworld_data(url, header):
headers = header
res = requests.get(url, headers=headers)
res.encoding = 'UTF-8'
pattern = re.compile(
'(\'\\{"(\\w+)":{"active":(.*?),"confirmed":(.*?),"deaths":(.*?),"recovered":(.*?),"relative_active":(.*?),"relative_active_start_... | flexible | {
"blob_id": "0677e12bc9733c76bff7ed3fe83e3800e64e9a10",
"index": 7633,
"step-1": "<mask token>\n\n\ndef getworld_data(url, header):\n headers = header\n res = requests.get(url, headers=headers)\n res.encoding = 'UTF-8'\n pattern = re.compile(\n '(\\'\\\\{\"(\\\\w+)\":{\"active\":(.*?),\"confir... | [
2,
3,
4,
5,
6
] |
# ---------------------MODULE 1 notes--------------------
# .
# .
# .
# .
# .
# .
# .
# .
# .
# .
# save as (file).py first if not it will not work
print("Hello")
# control s to save
| normal | {
"blob_id": "bb64da929ff2e1e04267518ec93a28bedb5a4de5",
"index": 7306,
"step-1": "<mask token>\n",
"step-2": "print('Hello')\n",
"step-3": "# ---------------------MODULE 1 notes--------------------\r\n# .\r\n# .\r\n# .\r\n# .\r\n# .\r\n# .\r\n# .\r\n# .\r\n# .\r\n# .\r\n\r\n# save as (file).py first if not i... | [
0,
1,
2
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
from .data_processing import make_request_data, clear_request_data, get_token_from_text
from .review import Review
| flexible | {
"blob_id": "5d654c056e6ef01e72821427c4f8dcb285755ee9",
"index": 2933,
"step-1": "<mask token>\n",
"step-2": "from .data_processing import make_request_data, clear_request_data, get_token_from_text\nfrom .review import Review\n",
"step-3": null,
"step-4": null,
"step-5": null,
"step-ids": [
0,
... | [
0,
1
] |
import numpy as np
import scipy.sparse as sparse
from .world import World
from . import util
from . import fem
from . import linalg
def solveFine(world, aFine, MbFine, AbFine, boundaryConditions):
NWorldCoarse = world.NWorldCoarse
NWorldFine = world.NWorldCoarse * world.NCoarseElement
NpFine = np.prod(NWo... | normal | {
"blob_id": "1b3493322fa85c2fe26a7f308466c4a1c72d5b35",
"index": 4637,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef solveCoarse(world, aFine, MbFine, AbFine, boundaryConditions):\n NWorldCoarse = world.NWorldCoarse\n NWorldFine = world.NWorldCoarse * world.NCoarseElement\n NCoarseEleme... | [
0,
1,
2,
3
] |
#!/usr/bin/env python
#coding=utf-8
#author:maohan
#date:20160706
#decription:通过百度api获取相关信息，并保存为xls格式
#ver:1.0
import urllib2
import json
import sys
from pyExcelerator import *
def bd_finder(qw,region,page_num):
page_size='20'
bd_ak='wkEmrv7B1l0KPpi30F1G2VMx10xEdeol'
bd_url='http://api.map.baidu.com/place/v2/search?... | normal | {
"blob_id": "941a93c66a5131712f337ad055bbf2a93e6ec10d",
"index": 1634,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef bd_finder(qw, region, page_num):\n page_size = '20'\n bd_ak = 'wkEmrv7B1l0KPpi30F1G2VMx10xEdeol'\n bd_url = 'http://api.map.baidu.com/place/v2/search?'\n furl = (bd_ur... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class OrgStaff(db.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|>
... | flexible | {
"blob_id": "b0f92b5e4cc972aca84a29b4568e85836f155273",
"index": 3774,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass OrgStaff(db.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 to... | [
0,
1,
2,
3,
4
] |
#!/usr/bin/python
import wx
class test(wx.Frame):
def __init__(self,parent,id):
wx.Frame.__init__(self,parent,id,"TestFrame",size=(500,500))
if __name__ == '__main__':
app = wx.PySimpleApp()
frame = test(parent=None,id=-1,)
frame.show()
app.mainloop()
| normal | {
"blob_id": "e204cbbf36ac180eba0e95916345088c77bca7c0",
"index": 5001,
"step-1": "<mask token>\n\n\nclass test(wx.Frame):\n <mask token>\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\nclass test(wx.Frame):\n\n def __init__(self, parent, id):\n wx.Frame.__init__(self, parent, id, 'TestFrame', s... | [
1,
2,
3,
4,
5
] |
for i in range(0, 20):
if i % 20 == 0:
print('Stop It')
else:
print('The For Loop Failed')
| normal | {
"blob_id": "bfb2d7b811fd450b53493375fa130649349d308f",
"index": 174,
"step-1": "<mask token>\n",
"step-2": "for i in range(0, 20):\n if i % 20 == 0:\n print('Stop It')\nelse:\n print('The For Loop Failed')\n",
"step-3": null,
"step-4": null,
"step-5": null,
"step-ids": [
0,
1
]
... | [
0,
1
] |
<|reserved_special_token_0|>
class Net(nn.Module):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
def _initialize_weights(self):
pass
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class Net(nn.Module):
def __init__(self):
super(Net, self).__init__()
... | flexible | {
"blob_id": "49cdeb59e75ed93122b3a62fbdc508b7d66166d6",
"index": 2337,
"step-1": "<mask token>\n\n\nclass Net(nn.Module):\n <mask token>\n <mask token>\n\n def _initialize_weights(self):\n pass\n",
"step-2": "<mask token>\n\n\nclass Net(nn.Module):\n\n def __init__(self):\n super(Net,... | [
2,
3,
4,
5,
6
] |
<|reserved_special_token_0|>
def get_U_S_T_from_WM(WM):
U = {}
S = {}
T = {}
for wm in WM.WM:
U[str(wm.values)] = float(WM['TRANS'].sel(WM=wm).groupby(
'TIME.month').mean('TIME').mean(dim='month').values)
S[str(wm.values)] = float(WM['PSAL'].sel(WM=wm).groupby(
... | flexible | {
"blob_id": "40b94a3be27ebb0d8e3e67fddabe1dc68646169c",
"index": 9881,
"step-1": "<mask token>\n\n\ndef get_U_S_T_from_WM(WM):\n U = {}\n S = {}\n T = {}\n for wm in WM.WM:\n U[str(wm.values)] = float(WM['TRANS'].sel(WM=wm).groupby(\n 'TIME.month').mean('TIME').mean(dim='month').val... | [
10,
11,
13,
14,
16
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
if __name__ == '__main__':
ROOT_PATH = '/media/andreis/storage/datasets/pku-autonomous-driving/'
df = pd.read_csv(ROOT_PATH + 'train.csv')
df_test = pd.read_csv(ROOT_PATH + 'sample_submission.csv')
train_images_dir... | flexible | {
"blob_id": "1861c394fb02643d2e6ac8362f3340f512ef6d72",
"index": 6402,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nif __name__ == '__main__':\n ROOT_PATH = '/media/andreis/storage/datasets/pku-autonomous-driving/'\n df = pd.read_csv(ROOT_PATH + 'train.csv')\n df_test = pd.read_csv(ROOT_PATH +... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
def PMHD(p, chi, b):
return b ** 2 / p * (1 + sin(chi) ** 2)
def xMHD(p, chi, b):
return -b ** 2 / p ** 2 * sin(chi) * cos(chi)
<|reserved_special_token_0|>
def xBGI(p, chi, b):
Q = 0.7 * p / b ** 0.57 / sqrt(cos(chi))
if Q > 1:
A = 1
else:
A = Q
... | flexible | {
"blob_id": "660334be611c30397c2f33890e1bca1fc43bd01f",
"index": 2420,
"step-1": "<mask token>\n\n\ndef PMHD(p, chi, b):\n return b ** 2 / p * (1 + sin(chi) ** 2)\n\n\ndef xMHD(p, chi, b):\n return -b ** 2 / p ** 2 * sin(chi) * cos(chi)\n\n\n<mask token>\n\n\ndef xBGI(p, chi, b):\n Q = 0.7 * p / b ** 0.... | [
3,
5,
6,
7,
8
] |
class Enumerator(object):
"""For Python we just wrap the iterator"""
def __init__(self, next):
self.iterator = next
def __next__(self):
return next(self.iterator)
# Python 2.7
next = __next__
def __iter__(self):
return self
| normal | {
"blob_id": "1ca20b0cd9217623ff039ab352acd09df8dfae1b",
"index": 8235,
"step-1": "class Enumerator(object):\n <mask token>\n <mask token>\n\n def __next__(self):\n return next(self.iterator)\n <mask token>\n\n def __iter__(self):\n return self\n",
"step-2": "class Enumerator(object... | [
3,
4,
5,
6,
7
] |
from django.contrib.auth.hashers import make_password
from django.core import mail
from rest_framework import status
from django.contrib.auth.models import User
import time
from api.tests.api_test_case import CustomAPITestCase
from core.models import Member, Community, LocalCommunity, TransportCommunity, Profile, Noti... | normal | {
"blob_id": "75c00eec7eacd37ff0b37d26163c2304620bb9db",
"index": 5868,
"step-1": "<mask token>\n\n\nclass MemberTests(CustomAPITestCase):\n\n def setUp(self):\n \"\"\"\n Make a user for authenticating and\n testing community actions\n \"\"\"\n owner = self.user_model.objects... | [
23,
29,
33,
36,
38
] |
import turtle
import random
shaan = turtle.Turtle()
#shaan.color(50,50,50)
#shaan.begin_fill()
for i in range (2):
shaan.forward(200)
shaan.right(90)
shaan.forward(250)
shaan.right(90)
shaan.left(60)
for i in range(4):
shaan.forward(200)
shaan.right(120)
shaan.forward(100)
shaan.left(150)
shaan.forward(100)... | normal | {
"blob_id": "6f13ebe7355d530ba3403aab54b313ecf35b1261",
"index": 4523,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor i in range(2):\n shaan.forward(200)\n shaan.right(90)\n shaan.forward(250)\n shaan.right(90)\nshaan.left(60)\nfor i in range(4):\n shaan.forward(200)\n shaan.right(1... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
class CountedList(UserList):
def Count(self):
self.cnt = Counter(self.data)
return self.cnt
def append(self, item):
super(CountedList, self).append(item)
global y
y = self.Count()
<|reserved_special_token_0|>
<|reserved_special_token_1... | flexible | {
"blob_id": "1cf4fc37e030a895cb36f537ce9e92df34acfb8b",
"index": 7659,
"step-1": "<mask token>\n\n\nclass CountedList(UserList):\n\n def Count(self):\n self.cnt = Counter(self.data)\n return self.cnt\n\n def append(self, item):\n super(CountedList, self).append(item)\n global y\... | [
3,
4,
5,
6,
7
] |
import sys
sys.setrecursionlimit(1000000)
n, q = map(int, input().split())
graph = [set([]) for _ in range(n)]
for _ in range(n - 1):
a, b = map(int, input().split())
graph[a - 1].add(b - 1)
graph[b - 1].add(a - 1)
def dfs(i):
if temp[i]:
return
temp[i] = True
if i in odd:
for... | normal | {
"blob_id": "bab6b9a0178da119f753deb6c626dd5c41db2bdd",
"index": 2004,
"step-1": "<mask token>\n\n\ndef dfs(i):\n if temp[i]:\n return\n temp[i] = True\n if i in odd:\n for j in graph[i]:\n even.add(j)\n dfs(j)\n else:\n for j in graph[i]:\n odd.a... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
class SaveConfigFile:
<|reserved_special_token_0|>
def __init__(self, fileName='../conf/main.ini'):
self.config = ConfigParser.ConfigParser()
self.fileName = fileName
def saveConfigFile(self, configMainName, configSubName, value):
"""
:param ... | flexible | {
"blob_id": "b61bb47f3e059c607447cea92ce1712825735822",
"index": 2373,
"step-1": "<mask token>\n\n\nclass SaveConfigFile:\n <mask token>\n\n def __init__(self, fileName='../conf/main.ini'):\n self.config = ConfigParser.ConfigParser()\n self.fileName = fileName\n\n def saveConfigFile(self, ... | [
3,
4,
5,
6,
7
] |
"""
Plot funcs
Jan, 2018 Rose Yu @Caltech
"""
import matplotlib.pyplot as plt
import seaborn as sns
from util.matutil import *
from util.batchutil import *
def plot_img():
"""
plot ground truth (left) and reconstruction (right)
showing b/w image data of mnist
"""
plt.subplot(121)
plt.imshow... | normal | {
"blob_id": "cca9d91fe20e58f233ccfc4100edb748356ed234",
"index": 6311,
"step-1": "<mask token>\n\n\ndef plot_img():\n \"\"\" \n plot ground truth (left) and reconstruction (right)\n showing b/w image data of mnist\n \"\"\"\n plt.subplot(121)\n plt.imshow(data.data.numpy()[0,].squeeze())\n pl... | [
1,
2,
3,
4,
5
] |
import gdal
import sys, gc
sys.path.append("..")
import getopt
import redis
import time
import subprocess
import numpy as np
from os import listdir, makedirs
from os.path import isfile, join, exists
from operator import itemgetter
from natsort import natsorted
from config import DatasetConfig, RasterParams
from datase... | normal | {
"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
] |
<|reserved_special_token_0|>
@app.before_first_request
def create_tables():
pass
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
db.init_app(app)
<|reserved_special_token_0|>
@app.before_first_request
def create_tables():
pass
add_module_gamma(api)
<|reserved_... | flexible | {
"blob_id": "fbb081fd52b14336ab4537bb795105bcd6a03070",
"index": 3045,
"step-1": "<mask token>\n\n\n@app.before_first_request\ndef create_tables():\n pass\n\n\n<mask token>\n",
"step-2": "<mask token>\ndb.init_app(app)\n<mask token>\n\n\n@app.before_first_request\ndef create_tables():\n pass\n\n\nadd_mod... | [
1,
2,
3,
4,
5
] |
# -*- coding:utf-8 -*-
'''
Created on 2016��4��8��
@author: liping
'''
import sys
from PyQt4 import QtGui,QtCore
class QuitButton(QtGui.QWidget):
def __init__(self,parent = None):
QtGui.QWidget.__init__(self,parent)
self.setGeometry(300,300,250,150)
self.setWindowTitle('quitButto... | normal | {
"blob_id": "5a3431b79b8f42b3042bb27d787d0d92891a7415",
"index": 3947,
"step-1": "<mask token>\n\n\nclass QuitButton(QtGui.QWidget):\n <mask token>\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\nclass QuitButton(QtGui.QWidget):\n\n def __init__(self, parent=None):\n QtGui.QWidget.__init__(self... | [
1,
3,
4,
5,
6
] |
<|reserved_special_token_0|>
class Pastebin(models.Model):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class Pastebin(models.Model):
<|reserved_special_token_0|>
... | flexible | {
"blob_id": "3badf65a5301cc9cf26811e3989631aec5d31910",
"index": 2709,
"step-1": "<mask token>\n\n\nclass Pastebin(models.Model):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass Pastebin(models.Model):\n <mask token>\n <mask token>\n <mask... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
class LabeledEntry(sw.LabeledWidget):
<|reserved_special_token_0|>
@property
def value(self):
return self.get()
<|reserved_special_token_0|>
def show(self, *args):
"""Show only the specified subwidgets.
'all' or no arguments reverts to showing... | flexible | {
"blob_id": "111186f1d45b9cf3bf9065c7fa83a8f3f796bbe1",
"index": 5841,
"step-1": "<mask token>\n\n\nclass LabeledEntry(sw.LabeledWidget):\n <mask token>\n\n @property\n def value(self):\n return self.get()\n <mask token>\n\n def show(self, *args):\n \"\"\"Show only the specified subw... | [
5,
6,
8,
9,
11
] |
class Client:
def __init__(self, id, color):
self.id = id
self.arrival = {}
self.leave = {}
self.server = {}
self.queue = 0
self.served = 0
self.color = color
def set_arrival(self, arrival):
self.arrival[self.queue] = arrival
def set_leave(s... | flexible | {
"blob_id": "5dc201f743705d6a57dfb61ec2cc2a827db0ba25",
"index": 7234,
"step-1": "class Client:\n\n def __init__(self, id, color):\n self.id = id\n self.arrival = {}\n self.leave = {}\n self.server = {}\n self.queue = 0\n self.served = 0\n self.color = color\n\... | [
5,
6,
7,
8,
9
] |
# -*- coding:utf-8 -*-
import math
r = float(input())
print("{0:f} {1:f}".format(r*r*math.pi,2*r*math.pi)) | normal | {
"blob_id": "e28cca2273e1c3ad4b8a955843e7dfb45c00694c",
"index": 3246,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint('{0:f} {1:f}'.format(r * r * math.pi, 2 * r * math.pi))\n",
"step-3": "<mask token>\nr = float(input())\nprint('{0:f} {1:f}'.format(r * r * math.pi, 2 * r * math.pi))\n",
"step-... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
soup.find('td', {'style': 'color:red'}).text
<|reserved_special_token_1|>
<|reserved_special_token_0|>
url = 'https://goodinfo.tw/StockInfo/StockDividendPolicy.asp?STOCK_ID=2002'
headers = {'User-Agent':
'Mozilla/5.0 (Windo... | flexible | {
"blob_id": "a5918679b6e3a9bde54808264d9526c6a191578f",
"index": 7737,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nsoup.find('td', {'style': 'color:red'}).text\n",
"step-3": "<mask token>\nurl = 'https://goodinfo.tw/StockInfo/StockDividendPolicy.asp?STOCK_ID=2002'\nheaders = {'User-Agent':\n 'Moz... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
class Callback(HCallback):
def __init__(self):
pass
@staticmethod
def run(drawable):
drawable.anchorAt(H.CENTER).fill(choice([color1, color2]))
HOscillator().target(drawable).property(H.ROTATION).range(-5, 5).speed(
1).freq(4).currentStep(... | flexible | {
"blob_id": "b8a41c56a31acab0181ec364f76010ac12119074",
"index": 5489,
"step-1": "<mask token>\n\n\nclass Callback(HCallback):\n\n def __init__(self):\n pass\n\n @staticmethod\n def run(drawable):\n drawable.anchorAt(H.CENTER).fill(choice([color1, color2]))\n HOscillator().target(dr... | [
3,
5,
6,
7,
8
] |
#!/usr/bin/python3
'''
generator.py
This program inputs a strings, and outputs the corresponding hex
Creator: Ethan Knight
Email: ethantknight@gmail.com
Published: 20181116
'''
import sys
import time
import binascii
def main():
print("\n", sys.version_info)
try:
while True:
... | normal | {
"blob_id": "a52cbe6dbf4b4fc82d09e5f34e6e135933f3af38",
"index": 1418,
"step-1": "<mask token>\n\n\ndef main():\n print('\\n', sys.version_info)\n try:\n while True:\n print('\\n\\nPress Ctrl+C to exit.')\n usr = test()\n out = binascii.hexlify(bytes(usr, encoding='u... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def square_root(n):
start = 1
end = n
if n == 0 or n == 1:
return n
while start <= end:
mid = (start + end) // 2
if mid * mid == n:
return mid
elif mid * mid < n:
... | flexible | {
"blob_id": "f9b53df799b3e6b71282c84a625ea5915ccb8014",
"index": 1966,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef square_root(n):\n start = 1\n end = n\n if n == 0 or n == 1:\n return n\n while start <= end:\n mid = (start + end) // 2\n if mid * mid == n:\n ... | [
0,
1,
2
] |
from django.contrib import admin
from mptt.admin import MPTTModelAdmin
from product.models import Item,Product,Category
# Register your models here.
admin.site.register(Category,MPTTModelAdmin)
admin.site.register(Item)
admin.site.register(Product) | normal | {
"blob_id": "fcd3e4c0d42649833e6c5ff6414c993654691d16",
"index": 188,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nadmin.site.register(Category, MPTTModelAdmin)\nadmin.site.register(Item)\nadmin.site.register(Product)\n",
"step-3": "from django.contrib import admin\nfrom mptt.admin import MPTTModelAd... | [
0,
1,
2,
3
] |
import csv, io
from django.shortcuts import render, redirect
from django.contrib import messages
from django.contrib.auth.decorators import permission_required
from django.views import generic
from itertools import chain
from .models import Player, League, Team
class IndexView(generic.ListView):
templ... | normal | {
"blob_id": "bce794616889b80c152a8ebec8d02e49a96684e9",
"index": 2955,
"step-1": "<mask token>\n\n\nclass IndexView(generic.ListView):\n template_name = 'players/players.html'\n context_object_name = 'players'\n\n def get_queryset(self):\n return list(chain(Player.objects.all(), Player._meta.get_... | [
4,
7,
8,
9,
10
] |
#Max Low
#9-25-17
#quiz2.py -- numbers , bigger smaller same, divisible by 3, product and correct person
numone = int(input('Enter a number: '))
numtwo = int(input('Enter a 2nd number: '))
if numone > numtwo:
print('The first number is bigger')
elif numtwo > numone:
print('The second number is bigger')
else:
... | normal | {
"blob_id": "a67612e8301728d1fb366d7c8909fa830f04bf45",
"index": 9739,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nif numone > numtwo:\n print('The first number is bigger')\nelif numtwo > numone:\n print('The second number is bigger')\nelse:\n print('The numbers are the same')\nif numone % 3 ... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
with open('file.txt', 'w') as file:
content = file.write('Tanyuhich')
try:
browser = webdriver.Chrome()
browser.get('http://suninjuly.github.io/file_input.html')
input1 = browser.find_element_by_name('firstname')
... | flexible | {
"blob_id": "03270285c6dc99d8dcb9804270421f36b573048c",
"index": 2863,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nwith open('file.txt', 'w') as file:\n content = file.write('Tanyuhich')\ntry:\n browser = webdriver.Chrome()\n browser.get('http://suninjuly.github.io/file_input.html')\n inpu... | [
0,
1,
2,
3
] |
"""
This module provides a script to extract data from all JSON files stored in a specific directory and create a HTML
table for an better overview of the data.
.. moduleauthor:: Maximilian Springenberg <mspringenberg@gmail.com>
|
"""
from collections import defaultdict
from argparse import ArgumentParser
import os... | normal | {
"blob_id": "d6e836140b1f9c955711402111dc07e74b4a23b1",
"index": 1621,
"step-1": "<mask token>\n\n\ndef jsons_to_table(dir_jsons, dir_out, name, format='html'):\n \"\"\"\n Extracts the informations stored in the JSON files and stores creates an HTML-table for them.\n\n :param dir_jsons: directory of JS... | [
3,
4,
5,
6,
7
] |
from django.shortcuts import render
from .models import Votings
from .serializers import VotingsSerializer
from rest_framework.response import Response
from rest_framework import status
from rest_framework.decorators import api_view
import requests, json
@api_view(['GET'])
def votings(request):
votings = Votings.... | normal | {
"blob_id": "c3ecac1c0facbf6f0905bb03fd337a7f4f5bbeff",
"index": 4376,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\n@api_view(['GET'])\ndef votings(request):\n votings = Votings.objects.all()\n if votings:\n return Response({}, status=status.HTTP_404_NOT_FOUND)\n else:\n seri... | [
0,
1,
2
] |
<|reserved_special_token_0|>
class ReportingDealer(game_dealer.GameDealer):
<|reserved_special_token_0|>
def Report(self):
"""For testing."""
return [p.hand for p in self.players]
class TestPlayCards(unittest.TestCase):
def testSmall(self):
little = ReportingDealer(1, 1).Report... | flexible | {
"blob_id": "06a721c12e3140d4d1cf544a598f512595c4ab66",
"index": 3013,
"step-1": "<mask token>\n\n\nclass ReportingDealer(game_dealer.GameDealer):\n <mask token>\n\n def Report(self):\n \"\"\"For testing.\"\"\"\n return [p.hand for p in self.players]\n\n\nclass TestPlayCards(unittest.TestCase... | [
8,
10,
11,
12,
13
] |
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