code stringlengths 13 1.2M | order_type stringclasses 1
value | original_example dict | step_ids listlengths 1 5 |
|---|---|---|---|
# -*- coding: utf-8 -*-
"""
-----------------------------------------
IDEA Name : PyCharm
Project Name : HelloWorld
-----------------------------------------
File Name : task_worker
Description :
Author : Edwin
Date : 2018/1/4 23:38
-----------------------------------------
Cha... | normal | {
"blob_id": "be1bfa3e366d715d32613284924cf79abde06d41",
"index": 582,
"step-1": "<mask token>\n\n\nclass QueueManager(BaseManager):\n pass\n\n\ndef start_request():\n QueueManager.register('get_task_queue')\n QueueManager.register('get_result_queue')\n server_add = '127.0.0.1'\n print('Connect to ... | [
2,
3,
4,
5,
6
] |
dic = {'name': 'Eric', 'age': '25'} # 딕셔너리 형태
print(dic['name'])
| normal | {
"blob_id": "09c3a10230e7d0b3b893ccf236c39fc2dc12b2c6",
"index": 1097,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(dic['name'])\n",
"step-3": "dic = {'name': 'Eric', 'age': '25'}\nprint(dic['name'])\n",
"step-4": "dic = {'name': 'Eric', 'age': '25'} # 딕셔너리 형태\n\n\nprint(dic['name'])\n",
... | [
0,
1,
2,
3
] |
import matplotlib.pyplot as plt
file_list = ["Quantification_comet_fdr.csv",
"Quantification_crux_fdr.csv",
"Quantification_msfg_fdr.csv",
"Quantification_msfg_percolator.csv"]
file_titles = ["Comet",
"Crux",
"MSGFPlus",
"MSGFPlus + Pe... | normal | {
"blob_id": "e08159a51b611ce6d0ca354a4fe6759d00af2cb7",
"index": 660,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor file_name in file_list:\n proteins = 0\n peptides = 0\n for line_index, line in enumerate(open(file_name, 'r')):\n if line_index > 3:\n proteins += 1\n ... | [
0,
1,
2,
3,
4
] |
from types import *
class Tokenizer:
def __init__(self, buf):
self.buf = buf
self.index = 0
def token(self):
return self.buf[self.index]
def move(self, value):
self.index += value
def skip_whitespaces(self):
while self.index < len(self.buf) and self.token().... | normal | {
"blob_id": "282bccf20cfb114e31c5465c110819796bf81bc0",
"index": 9318,
"step-1": "<mask token>\n\n\nclass Tokenizer:\n\n def __init__(self, buf):\n self.buf = buf\n self.index = 0\n <mask token>\n <mask token>\n\n def skip_whitespaces(self):\n while self.index < len(self.buf) and... | [
4,
5,
6,
7,
8
] |
from pymarketo.client import MarketoClientFactory
import os
import sys #@UnusedImport
import time #@UnusedImport
import datetime #@UnusedImport
from pprint import pprint #@UnresolvedImport
TESTDIR = os.path.split(__file__)[0]
PACKAGEDIR = os.path.join(TESTDIR,"..")
INIFILE = os.path.join(PACKAGEDIR,"marketo.ini")
DATA... | normal | {
"blob_id": "b05a5fcbba74bf4108bc953c6f868eb1f5ca298f",
"index": 638,
"step-1": "from pymarketo.client import MarketoClientFactory\nimport os\nimport sys #@UnusedImport\nimport time #@UnusedImport\nimport datetime #@UnusedImport\nfrom pprint import pprint #@UnresolvedImport\n\nTESTDIR = os.path.split(__file__)[0... | [
0
] |
from django.urls import path, include
from rest_framework.routers import SimpleRouter
from board_api.views import PostViewSet, UpvoteView, CommentViewSet
router = SimpleRouter()
router.register(r"post", PostViewSet)
router.register(r"post_upvote", UpvoteView)
router.register(r"comment", CommentViewSet)
urlpatterns ... | normal | {
"blob_id": "db309283137383cd698f235e7326c6e5c50f6cf3",
"index": 6671,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nrouter.register('post', PostViewSet)\nrouter.register('post_upvote', UpvoteView)\nrouter.register('comment', CommentViewSet)\n<mask token>\n",
"step-3": "<mask token>\nrouter = SimpleRo... | [
0,
1,
2,
3,
4
] |
"""Settings module for test app."""
ENV = "development"
TESTING = True
SQLALCHEMY_DATABASE_URI = "sqlite://"
SECRET_KEY = "not-so-secret-in-tests"
DEBUG_TB_ENABLED = False
SQLALCHEMY_TRACK_MODIFICATIONS = False
APP_ENV = "testing"
JWT_SECRET_KEY = (
"-----BEGIN RSA PRIVATE KEY-----\n"
"MIICWwIBAAKBgQDdlatRjR... | normal | {
"blob_id": "909ea7b9335a858662f83abc71b4d58578bd0850",
"index": 8261,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nENV = 'development'\nTESTING = True\nSQLALCHEMY_DATABASE_URI = 'sqlite://'\nSECRET_KEY = 'not-so-secret-in-tests'\nDEBUG_TB_ENABLED = False\nSQLALCHEMY_TRACK_MODIFICATIONS = False\nAPP_EN... | [
0,
1,
2
] |
#%%
import numpy as np
import cv2
import matplotlib.pyplot as plt
import win32gui,win32ui,win32con,win32api
import pyautogui as pg
from PIL import ImageGrab
import time
import pandas as pd
# %%
def get_window(lpClassName='UnityWndClass', lpWindowName='炉石传说'):
handle_of_hearthstone=win32gui.FindWindow(... | normal | {
"blob_id": "e36d2426fb8a268ab9ff4f3d6135aa72697e6326",
"index": 1505,
"step-1": "<mask token>\n\n\ndef get_window(lpClassName='UnityWndClass', lpWindowName='炉石传说'):\n handle_of_hearthstone = win32gui.FindWindow(lpClassName, lpWindowName)\n return win32gui.GetClientRect(handle_of_hearthstone)\n\n\ndef coun... | [
5,
6,
7,
8,
9
] |
# -*- coding: utf-8 -*-
from django.http import Http404
from django.shortcuts import render,render_to_response, get_object_or_404, redirect, HttpResponse
from django.core.context_processors import csrf
from django.views.decorators.csrf import csrf_protect, csrf_exempt
from django.template import RequestContext,Context... | normal | {
"blob_id": "fb16009985ee7fe4a467a94160f593723b5aaf03",
"index": 7964,
"step-1": "# -*- coding: utf-8 -*- \nfrom django.http import Http404\nfrom django.shortcuts import render,render_to_response, get_object_or_404, redirect, HttpResponse\nfrom django.core.context_processors import csrf\nfrom django.views.decora... | [
0
] |
from __future__ import print_function
import os, sys, time
import fitz
import PySimpleGUI as sg
"""
PyMuPDF utility
----------------
For a given entry in a page's getImagleList() list, function "recoverpix"
returns either the raw image data, or a modified pixmap if an /SMask entry
exists.
The item's first two entries ... | normal | {
"blob_id": "856afd30a2ed01a1d44bbe91a7b69998e9a51bb7",
"index": 3170,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef recoverpix(doc, item):\n x = item[0]\n s = item[1]\n if s == 0:\n return doc.extractImage(x)\n\n def getimage(pix):\n if pix.colorspace.n != 4:\n ... | [
0,
1,
3,
4,
5
] |
"""
Have the function CharlietheDog(strArr) read the array of strings stored in strArr which
will be a 4x4 matrix of the characters 'C', 'H', 'F', 'O', where C represents Charlie the dog,
H represents its home, F represents dog food, and O represents and empty space in the grid.
Your goal is to figure out the least... | normal | {
"blob_id": "731110b02c8a09dc84042a99c14eef990ae33cd2",
"index": 5913,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef CharlietheDog(strArr):\n\n def walk(food_home, dog, matriz, steps=0):\n food_home_dx = food_home[0][0] - dog[0]\n food_home_dy = food_home[0][1] - dog[1]\n ... | [
0,
1,
2,
3,
4
] |
from outils import Outils
class BilanComptes(object):
"""
Classe pour la création du bilan des comptes
"""
@staticmethod
def bilan(dossier_destination, subedition, subgeneraux, lignes):
"""
création du bilan
:param dossier_destination: Une instance de la classe dossier.Dos... | normal | {
"blob_id": "53c874fbe14031c323f83db58f17990f4e60bc58",
"index": 2195,
"step-1": "<mask token>\n\n\nclass BilanComptes(object):\n <mask token>\n <mask token>\n\n @staticmethod\n def creation_lignes(subedition, subgeneraux, consolidation):\n \"\"\"\n génération des lignes de données du b... | [
2,
3,
4,
5,
6
] |
from platypush.message.event import Event
class ClipboardEvent(Event):
def __init__(self, text: str, *args, **kwargs):
super().__init__(*args, text=text, **kwargs)
# vim:sw=4:ts=4:et:
| normal | {
"blob_id": "9b02ce0b3acb14bdd6463c5bdba865b28253767c",
"index": 7896,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass ClipboardEvent(Event):\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass ClipboardEvent(Event):\n\n def __init__(self, text: str, *args, **kwargs):\n super().... | [
0,
1,
2,
3,
4
] |
"""Integration to integrate Keymitt BLE devices with Home Assistant."""
from __future__ import annotations
import logging
from typing import TYPE_CHECKING, Any
from microbot import MicroBotApiClient, parse_advertisement_data
from homeassistant.components import bluetooth
from homeassistant.components.bluetooth.passi... | normal | {
"blob_id": "5509880c30c2e03ca6eb42ad32018c39fb5939ed",
"index": 9955,
"step-1": "<mask token>\n\n\nclass MicroBotDataUpdateCoordinator(PassiveBluetoothDataUpdateCoordinator):\n <mask token>\n\n def __init__(self, hass: HomeAssistant, client: MicroBotApiClient,\n ble_device: BLEDevice) ->None:\n ... | [
3,
4,
5,
6,
7
] |
#!/usr/bin/env python3
print(sum([row[lineNumber * 3 % len(row)] == '#' for lineNumber, row in enumerate(open('input.txt').read().splitlines())])) | normal | {
"blob_id": "b2fecadbd99edb89379f82a935aa1622f043eeac",
"index": 9099,
"step-1": "<mask token>\n",
"step-2": "print(sum([(row[lineNumber * 3 % len(row)] == '#') for lineNumber, row in\n enumerate(open('input.txt').read().splitlines())]))\n",
"step-3": "#!/usr/bin/env python3\n\nprint(sum([row[lineNumber *... | [
0,
1,
2
] |
# Copyright (C) 2010 Google Inc. All rights reserved.
# Copyright (C) 2010 Gabor Rapcsanyi (rgabor@inf.u-szeged.hu), University of Szeged
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are
# met:
#
# * Redistributions of so... | normal | {
"blob_id": "08b57c00beb8dfedfee1bc032b8c281d7a151931",
"index": 8033,
"step-1": "<mask token>\n\n\nclass Manager(object):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n def __init__(self, port, options, printer):\n \"\"\"Initializes test runner data struc... | [
14,
20,
25,
31,
33
] |
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import migrations, models
import django.core.validators
class Migration(migrations.Migration):
dependencies = [
('Registration', '0015_auto_20150525_1815'),
]
operations = [
migrations.AlterField(
... | normal | {
"blob_id": "7a1be5c9c48413ba1969631e99ecb45cf15ef613",
"index": 559,
"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 = [('Registration... | [
0,
1,
2,
3,
4
] |
''' Load a variety of relevant physical parameters.
All quantities are in atomic units, such that
m_e = 1
e = 1
hbar = 1
1/4\pi\epsilon = 1
'''
import numpy as np
hbar = 1.0
m_e = 1.0
h22m = hbar**2 / (2*m_e)
pi = np.pi
eV = 1/27.21138505
eV_Ha = eV
nm = 18.89726124565
kB_eV = 8.6173324e-5
kB = kB_e... | normal | {
"blob_id": "f9f835b24aa8fc77109db9e2d89a3f43bcb4b181",
"index": 7079,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nhbar = 1.0\nm_e = 1.0\nh22m = hbar ** 2 / (2 * m_e)\npi = np.pi\neV = 1 / 27.21138505\neV_Ha = eV\nnm = 18.89726124565\nkB_eV = 8.6173324e-05\nkB = kB_eV * eV_Ha\n",
"step-3": "<mask to... | [
0,
1,
2,
3
] |
/home/openerp/production/extra-addons/productivity_analysis/report/productivity_analysis.py | normal | {
"blob_id": "6531833a4fe57c15c0668cee9015c7d43491427a",
"index": 341,
"step-1": "/home/openerp/production/extra-addons/productivity_analysis/report/productivity_analysis.py",
"step-2": null,
"step-3": null,
"step-4": null,
"step-5": null,
"step-ids": [
0
]
} | [
0
] |
#聚类算法：
# kmeans
# 密度聚类：DBSCAN
# 层次聚类：AgglomerativeClustering
# 谱聚类：SpectralClustering
# 分批kmeans：MiniBatchKMeans
# 评价指标：FMI（Fowlkes–Mallows index）
# 排除：特征聚类：FeatureAgglomeration# 亲和传播聚类（AP）聚类：affinity_propagation# 偏移均值向量：MeanShift
import numpy as np
import sklearn.cluster as cluster
import os
impo... | normal | {
"blob_id": "aaebd9eba8a5c51c64baaf60224720b87a6364e1",
"index": 1388,
"step-1": "<mask token>\n\n\n@print_run_time\ndef dbscan(train_x, train_y):\n db = cluster.DBSCAN(eps=0.2, min_samples=3)\n db.fit(train_x)\n fmi = metrics.fowlkes_mallows_score(train_y, db.labels_)\n return fmi\n\n\n<mask token>\... | [
1,
7,
8,
9,
10
] |
# -*- coding: utf-8 -*-
"""
/***************************************************************************
TileMapScalePlugin
A QGIS plugin
Let you add tiled datasets (GDAL WMS) and shows them in the correct scale.
-------------------
begin ... | normal | {
"blob_id": "f2e2ebd5b848cf3a01b7304e5e194beb3eec1c10",
"index": 1214,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef classFactory(iface):\n from .tilemapscaleplugin import TileMapScalePlugin\n return TileMapScalePlugin(iface)\n",
"step-3": "# -*- coding: utf-8 -*-\n\"\"\"\n/*************... | [
0,
1,
2
] |
#!/usr/bin/python
"""
Expression Parser Tree for fully parenthesized input expression
"""
from bintree import BinaryTree
from stackModule import Stack
def buildParseTree(expression):
expList = expression.split()
empTree = BinaryTree('')
parentStack = Stack()
parentStack.push(empTree)
currentNode ... | normal | {
"blob_id": "e18ebf961c2daa7dd127d08f85edb6ea519e3470",
"index": 8359,
"step-1": "#!/usr/bin/python\n\n\"\"\"\nExpression Parser Tree for fully parenthesized input expression\n\"\"\"\n\nfrom bintree import BinaryTree\nfrom stackModule import Stack\n\ndef buildParseTree(expression):\n expList = expression.spli... | [
0
] |
from editor.editor import Editor
e = Editor()
e.showWindow()
| normal | {
"blob_id": "46d6771fd9f589e2498cd019ba72232cbda06e5a",
"index": 3108,
"step-1": "<mask token>\n",
"step-2": "<mask token>\ne.showWindow()\n",
"step-3": "<mask token>\ne = Editor()\ne.showWindow()\n",
"step-4": "from editor.editor import Editor\ne = Editor()\ne.showWindow()\n",
"step-5": null,
"step-id... | [
0,
1,
2,
3
] |
from tensorflow.keras.applications.resnet50 import ResNet50
from tensorflow.keras.preprocessing import image
from tensorflow.keras.applications.resnet50 import preprocess_input, decode_predictions
import numpy as np
model = ResNet50(weights='imagenet', # Learned weights on imagenet
include_top=True)
... | normal | {
"blob_id": "1af6e66c19078a9ee971f608daa93247911d8406",
"index": 5881,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(decoded_predictions)\n",
"step-3": "<mask token>\nmodel = ResNet50(weights='imagenet', include_top=True)\nimg_input = image.load_img('my_picture.jpg', target_size=(224, 224))\nimg... | [
0,
1,
2,
3,
4
] |
import generic
name = __name__
def options(opt):
generic._options(opt, name)
def configure(cfg):
generic._configure(cfg, name, incs=('czmq.h',), libs=('czmq',), pcname=
name.lower(), uses='LIBZMQ', mandatory=True)
| normal | {
"blob_id": "9e511c769f6ccedc06845a382171fb3729913d05",
"index": 9767,
"step-1": "<mask token>\n\n\ndef options(opt):\n generic._options(opt, name)\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\ndef options(opt):\n generic._options(opt, name)\n\n\ndef configure(cfg):\n generic._configure(cfg, name... | [
1,
2,
3,
4
] |
"""
Quick select (randomized selection algorithm)
- based on quick sort (ch8_sorting); used to obtain the ith-smallest element in an unordered list of items (e.g.numbers)
"""
def swap(unsorted_array, a, b):
temp = unsorted_array[a]
unsorted_array[a] = unsorted_array[b]
unsorted_array[b] = temp
def part... | normal | {
"blob_id": "f9234741c6356b4677b5d32ffea86549d001c258",
"index": 5625,
"step-1": "<mask token>\n\n\ndef swap(unsorted_array, a, b):\n temp = unsorted_array[a]\n unsorted_array[a] = unsorted_array[b]\n unsorted_array[b] = temp\n\n\n<mask token>\n\n\ndef quick_select_helper(unsorted_array, left, right, k)... | [
3,
4,
5,
6,
7
] |
from load_blender_data import pose_spherical
from misc import mse, mse2psnr, to8b
import os
import imageio
import json
import torch
import torch.nn as nn
import numpy as np
import cv2
from torch.utils.data.dataset import Dataset
from torch.utils.data.dataloader import DataLoader
device = torch.device('cuda') if tor... | normal | {
"blob_id": "7180dc0d622fd449fcee32f2c50000d05ae2d8bb",
"index": 6850,
"step-1": "<mask token>\n\n\nclass BlenderDataset(Dataset):\n <mask token>\n <mask token>\n\n def get_coords2d(self, H, W):\n coord = np.linspace(0, 1, H, endpoint=False)\n coords = np.stack(np.meshgrid(coord, coord), -... | [
6,
9,
12,
14,
16
] |
from django.apps import AppConfig
class LaughsappConfig(AppConfig):
name = 'laughsApp'
| normal | {
"blob_id": "6b785502e8a8983c164ebdffdd304da47c926acb",
"index": 774,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass LaughsappConfig(AppConfig):\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass LaughsappConfig(AppConfig):\n name = 'laughsApp'\n",
"step-4": "from django.apps impor... | [
0,
1,
2,
3
] |
from unittest.mock import MagicMock
import pytest
from charpe.mediums.email_handler import EmailHandler
from charpe.errors import InsuficientInformation
def test_send_requirements(config):
handler = EmailHandler(config)
with pytest.raises(InsuficientInformation):
handler.publish({})
with pytest... | normal | {
"blob_id": "e2d8a1e13a4162cd606eec12530451ab230c95b6",
"index": 3103,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef test_send_requirements(config):\n handler = EmailHandler(config)\n with pytest.raises(InsuficientInformation):\n handler.publish({})\n with pytest.raises(Insuficie... | [
0,
1,
2,
3,
4
] |
quotes = [
"Today you are you! That is truer than true! There is no one alive who is you-er than you!",
"Don't cry because it's over. Smile because it happened.",
"You have brains in your head. You have feet in your shoes. You can steer yourself in any direction you choose. You're on your own, and you know what you kno... | normal | {
"blob_id": "f9ba944724b262afb39f2859b5726b961536cdf0",
"index": 2092,
"step-1": "<mask token>\n",
"step-2": "quotes = [\n 'Today you are you! That is truer than true! There is no one alive who is you-er than you!'\n , \"Don't cry because it's over. Smile because it happened.\",\n \"You have brains in... | [
0,
1,
2
] |
from django.shortcuts import render, HttpResponse, redirect
from .models import Book, Author # This is the models.py Database
# Create your views here.
def main(request):
context = {
"the_books" : Book.objects.all(), #Book Class model.py
}
return render(request, "index.html", context)
def book(re... | normal | {
"blob_id": "02bec34b138d53235dc944adeae8ccb8d6b3d340",
"index": 4424,
"step-1": "<mask token>\n\n\ndef book(request):\n Book.objects.create(title=request.POST['b_title'], desc=request.POST[\n 'b_desc'])\n return redirect('/')\n\n\ndef author(request):\n context = {'the_auths': Author.objects.all... | [
5,
6,
7,
8,
9
] |
from bs4 import BeautifulSoup
import urllib2
import datetime
import re
import csv
import sys
import time
import bb_load as bb_l
import pandas as pd
import requests
#Scrape the web for new buybacks
def scrape_buybacks():
'''
(NoneType) -> scraped_database.csv, database=open('scrape_database.... | normal | {
"blob_id": "276bcb2e90c30f87c618106e5e862f00d082da34",
"index": 9224,
"step-1": "\r\nfrom bs4 import BeautifulSoup\r\nimport urllib2\r\nimport datetime\r\nimport re\r\nimport csv\r\nimport sys\r\nimport time\r\nimport bb_load as bb_l\r\nimport pandas as pd\r\nimport requests\r\n\r\n#Scrape the web for new buyba... | [
0
] |
# Definition for a binary tree node.
# class TreeNode(object):
# def __init__(self, x):
# self.val = x
# self.left = None
# self.right = None
class Solution(object):
# (119ms)
def isSubtree(self, s, t):
"""
:type s: TreeNode
:type t: TreeNode
:rtype: bool... | normal | {
"blob_id": "5ac4dd62d8e56c7baf38f9fe9f8b4a5034f1cb80",
"index": 192,
"step-1": "# Definition for a binary tree node.\n# class TreeNode(object):\n# def __init__(self, x):\n# self.val = x\n# self.left = None\n# self.right = None\n\nclass Solution(object):\n# (119ms)\n def isSubtree(... | [
0
] |
#!/usr/bin/python3
# The uploader service listens for connections from localhost on port 3961.
# It expects a JSON object on a line by itself as the request. It responds
# with another JSON object on a line by itself, then closes the connection.
# Atropine CGI scripts can send requests to this service to tell it to:
#... | normal | {
"blob_id": "bd202e18cb98efc2b62ce4670fadcf70c35a33cb",
"index": 2529,
"step-1": "<mask token>\n\n\nclass UploaderThread(object):\n <mask token>\n\n def is_uploading_tourney(self, tourney):\n return tourney in self.uploading_tourneys\n <mask token>\n <mask token>\n\n def get_last_successful... | [
19,
21,
26,
31,
34
] |
#!/usr/bin/env python
#-*-coding:utf-8-*-
#author:wuya
import os
import xlrd
import json
class Helper(object):
'''公共方法'''
def base_dir(self,filePath,folder='data'):
'''
返回公共路径
:parameter folder:文件夹
:parameter filePath:文件名称
'''
return os.path.join(
os.path.dirn... | normal | {
"blob_id": "7c2349810fc757848eeb5bddef4640d87d5f9ab9",
"index": 2439,
"step-1": "<mask token>\n\n\nclass Helper(object):\n <mask token>\n\n def base_dir(self, filePath, folder='data'):\n \"\"\"\n 返回公共路径\n :parameter folder:文件夹\n :parameter filePath:文件名称\n \"\"\"\n return ... | [
3,
4,
6,
7,
8
] |
import re
import pandas as pd
import pandas.io.formats.excel
from configparser import ConfigParser
from datetime import datetime
from termcolor import cprint
import os
import shutil
from openpyxl import load_workbook
import numpy as np
class pairtron():
def affiliation_cleaner(self, affiliation):
# print(... | normal | {
"blob_id": "fbab5826f47163cf82b534d311eae572c5fcd128",
"index": 3287,
"step-1": "<mask token>\n\n\nclass pairtron:\n\n def affiliation_cleaner(self, affiliation):\n affiliation = str(affiliation)\n affiliation = affiliation.strip(' ;').replace(' ', ' ').replace(' ',\n ' ')\n ... | [
9,
10,
12,
13,
15
] |
import requests
from requests import Response
from auditlogging.Trail import Trail
from utils.Utils import is_empty
from auditlogging.agents.AuditAgent import AuditAgent
class APIAuditAgent(AuditAgent):
"""
Captures the audit trail using a REST endpoint URL (POST)
Add this agent to Auditor in order to cap... | normal | {
"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
] |
import sys
input = sys.stdin.readline
N = int(input())
A, B, C, D = [], [], [], []
for i in range(N):
a, b, c, d = map(int, input().split())
A.append(a)
B.append(b)
C.append(c)
D.append(d)
AB = []
CD = []
for i in range(N):
for j in range(N):
AB.append(A[i] + B[j])
CD.append(C[... | normal | {
"blob_id": "2a9426653146603d9aa79a59ce181d97aa3c551c",
"index": 8525,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor i in range(N):\n a, b, c, d = map(int, input().split())\n A.append(a)\n B.append(b)\n C.append(c)\n D.append(d)\n<mask token>\nfor i in range(N):\n for j in range(N)... | [
0,
1,
2,
3,
4
] |
import os
import urllib.request as ulib
import json
from bs4 import BeautifulSoup as Bsoup
def find_links(name):
name = name.replace(" ", "+")
url_str = 'https://www.google.com/search?ei=1m7NWePfFYaGmQG51q7IBg&hl=en&q={}' + \
'\&tbm=isch&ved=0ahUKEwjjovnD7sjWAhUGQyYKHTmrC2kQuT0I7gEoAQ&start={}'... | normal | {
"blob_id": "02ffdd1c03cc20883eddc691fc841022b4ff40fd",
"index": 1601,
"step-1": "<mask token>\n\n\ndef download_images(links, name):\n dir_name = name.replace(' ', '_')\n if not os.path.isdir(dir_name):\n os.mkdir(dir_name)\n for i, img_link in enumerate(links):\n img_path = os.path.join(... | [
1,
2,
3,
4,
5
] |
import re
from django import forms
from django.contrib.auth import password_validation
from django.contrib.auth.forms import PasswordChangeForm
from django.contrib.auth.password_validation import validate_password
from .models import Account
class EditProfileModelForm(forms.ModelForm):
class Meta:
model... | normal | {
"blob_id": "af442d4a78930a0ebcd85a1cdfe4aa86461be5c1",
"index": 1274,
"step-1": "<mask token>\n\n\nclass PasswordChangeFormExt(PasswordChangeForm):\n \"\"\"Form for changing user's password.\"\"\"\n\n def clean(self):\n user = self.user\n new_password = self.cleaned_data.get('new_password1')... | [
3,
4,
5,
6,
7
] |
def get_analyse(curse):
'''
要求curse数据中index为时间，columns为策略名称，每一列为该策略净值
'''
qf_drawdown = []
qf_yeild = []
qf_std = []
date = curse.index
y = curse.copy()
for i in curse.columns:
# 计算当前日之前的资金曲线最高点
y["max2here"] = y[i].expanding().max()
# 计算历史最高值到... | normal | {
"blob_id": "56d90835e64bd80fd9a6bb3a9b414e154d314d4a",
"index": 5108,
"step-1": "<mask token>\n",
"step-2": "def get_analyse(curse):\n \"\"\"\n 要求curse数据中index为时间，columns为策略名称，每一列为该策略净值\n\n \"\"\"\n qf_drawdown = []\n qf_yeild = []\n qf_std = []\n date = curse.index\n y = curse.copy()\... | [
0,
1,
2
] |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# Given an input with the following format
# x y yerr
# on standard input, print a fit of y = ax+b
# to the data.
import sys, string
from math import sqrt
def cP(X, Yerr):
sum = 0
for i in range(len(X)):
sum = sum + (X[i]*X[i])/(Yerr[i]*Yerr[i])
return sum
def cQ(Y... | normal | {
"blob_id": "e78504971c51a98eed60ea8032502b6ce1a11f29",
"index": 4206,
"step-1": "#!/usr/bin/env python\n# -*- coding: utf-8 -*-\n\n# Given an input with the following format\n# x y yerr\n# on standard input, print a fit of y = ax+b\n# to the data.\n\nimport sys, string\nfrom math import sqrt\n\ndef cP(X, Yerr):... | [
0
] |
#https://www.geeksforgeeks.org/count-of-substrings-of-length-k-with-exactly-k-distinct-characters/
#https://www.geeksforgeeks.org/count-number-of-substrings-with-exactly-k-distinct-characters/
| normal | {
"blob_id": "2ca40a53291a62bbdb4386decc5a2dfa84431836",
"index": 6630,
"step-1": "#https://www.geeksforgeeks.org/count-of-substrings-of-length-k-with-exactly-k-distinct-characters/\n#https://www.geeksforgeeks.org/count-number-of-substrings-with-exactly-k-distinct-characters/\n",
"step-2": null,
"step-3": nul... | [
1
] |
from unittest import TestCase, main as unittest_main, mock
from app import app
from bson.objectid import ObjectId
'''
dummy data to use in testing create, update, and delete routes
(U and D not yet made)
Inspiration taken from Playlister tutorial.
'''
sample_offer_id = ObjectId('5349b4ddd2781d08c09890f4')
sample_offer... | normal | {
"blob_id": "cef6b5ef2082dc5910806550d9a9c96357752baf",
"index": 3541,
"step-1": "<mask token>\n\n\nclass HomelyTests(TestCase):\n <mask token>\n\n def setUp(self):\n \"\"\"Get Flask test client.\"\"\"\n self.client = app.test_client()\n app.config['TESTING'] = True\n\n def test_pro... | [
7,
10,
11,
14,
15
] |
# http://www.dalkescientific.com/writings/diary/archive/2007/10/07/wide_finder.html
'''
Making a faster standard library approach
As I was writing an email to Fredrik describing these results,
I came up with another approach to speeding up the performance, using only the standard library.
Fredrik showed that using a ... | normal | {
"blob_id": "734fd4c492f2fd31a0459e90e5c4a7468120b4cd",
"index": 2369,
"step-1": "# http://www.dalkescientific.com/writings/diary/archive/2007/10/07/wide_finder.html\n'''\nMaking a faster standard library approach\n\nAs I was writing an email to Fredrik describing these results,\nI came up with another approach ... | [
0
] |
class FieldDesigner:
"""
Designs a field for BattleShips, accepts field height and width
"""
def __init__(
self,
):
self.field = []
def design_field(
self,
height,
width,
):
self.field = [[
'~' for __
... | normal | {
"blob_id": "c812419e7e024b0bb1207832b2b4a726ef61b272",
"index": 9137,
"step-1": "class FieldDesigner:\n <mask token>\n <mask token>\n <mask token>\n\n def __str__(self):\n return '\\n'.join(map(str, self.field))\n",
"step-2": "class FieldDesigner:\n <mask token>\n\n def __init__(self)... | [
2,
3,
4,
5,
6
] |
# coding: utf-8
etc_dictionary = {
'2 30대': '이삼십대',
'20~30대': '이삼십대',
'20, 30대': '이십대 삼십대',
'1+1': '원플러스원',
'3에서 6개월인': '3개월에서 육개월인',
}
english_dictionary = {
'Devsisters': '데브시스터즈',
'track': '트랙',
# krbook
'LA': '엘에이',
'... | normal | {
"blob_id": "ccd1e57518065963158984dda52297db45ce204e",
"index": 2471,
"step-1": "<mask token>\n",
"step-2": "etc_dictionary = {'2 30대': '이삼십대', '20~30대': '이삼십대', '20, 30대': '이십대 삼십대',\n '1+1': '원플러스원', '3에서 6개월인': '3개월에서 육개월인'}\nenglish_dictionary = {'Devsisters': '데브시스터즈', 'track': '트랙', 'LA': '엘에이',\n ... | [
0,
1,
2
] |
import json
import webapp2
import requests
import requests_toolbelt.adapters.appengine
from . import mongodb
import datetime
from bson.json_util import dumps
class RestHandler(webapp2.RequestHandler):
def dispatch(self):
# time.sleep(1)
super(RestHandler, self).dispatch()
def send_json(self, conten... | normal | {
"blob_id": "8af3bb1b33a01353cd7f26c9496485e36d954edb",
"index": 5362,
"step-1": "import json\n\nimport webapp2\n\nimport requests\n\nimport requests_toolbelt.adapters.appengine\n\nfrom . import mongodb\n\nimport datetime\n\nfrom bson.json_util import dumps\n\nclass RestHandler(webapp2.RequestHandler):\n\n def ... | [
0
] |
__author__ = "Prikly Grayp"
__license__ = "MIT"
__version__ = "1.0.0"
__email__ = "priklygrayp@gmail.com"
__status__ = "Development"
from contextlib import closing
class RefrigeratorRaider:
'''Raid a refrigerator'''
def open(self):
print('Open fridge door.')
def take(self, food):
print('... | normal | {
"blob_id": "7455eb670c2c019b8d066fcc6f2878a2136b7fd0",
"index": 5051,
"step-1": "<mask token>\n\n\nclass RefrigeratorRaider:\n \"\"\"Raid a refrigerator\"\"\"\n\n def open(self):\n print('Open fridge door.')\n\n def take(self, food):\n print('Finding {}...'.format(food))\n if food ... | [
6,
7,
8,
9,
10
] |
from typing import List
"""
1. Generate an array containing the products of all elements to the left of current element
2. Similarly, start from the last element and generate an array containing the products to the right of each element
3. Multiply both arrays element-wise
"""
class Solution:
def productExceptS... | normal | {
"blob_id": "26ae44b5be1d78ed3fe9c858413ae47e163c5460",
"index": 1282,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass Solution:\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass Solution:\n\n def productExceptSelf(self, nums: List[int]) ->List[int]:\n output = []\n pro... | [
0,
1,
2,
3,
4
] |
import json
import random
import uuid
from collections import OrderedDict
import docker
from .db_utils import DBUtils
from .models import DynamicDockerChallenge
class DockerUtils:
@staticmethod
def add_new_docker_container(user_id, challenge_id, flag, port):
configs = DBUtils.get_all_configs()
... | normal | {
"blob_id": "e2e2e746d0a8f6b01e6f54e930c7def2d48c2d62",
"index": 4653,
"step-1": "<mask token>\n\n\nclass DockerUtils:\n <mask token>\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass DockerUtils:\n <mask token>\n\n @staticmethod\n def remove_current_docker_container(user_id, is_retry=False)... | [
1,
2,
3,
4,
5
] |
import contextlib
import dask
import dask.array as da
import packaging.version
import pandas
import six
import sklearn
SK_VERSION = packaging.version.parse(sklearn.__version__)
DASK_VERSION = packaging.version.parse(dask.__version__)
PANDAS_VERSION = packaging.version.parse(pandas.__version__)
@contextlib.contextma... | normal | {
"blob_id": "1bdb19373960e4f63d80d6ab73ec3c0939e40b7f",
"index": 364,
"step-1": "<mask token>\n\n\n@contextlib.contextmanager\ndef dummy_context(*args, **kwargs):\n yield\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\n@contextlib.contextmanager\ndef dummy_context(*args, **kwargs):\n yield\n\n\nif six... | [
1,
2,
3,
4,
5
] |
# Copyright 2013-2022 Lawrence Livermore National Security, LLC and other
# Spack Project Developers. See the top-level COPYRIGHT file for details.
#
# SPDX-License-Identifier: (Apache-2.0 OR MIT)
from spack.package import *
class RDt(RPackage):
"""A Wrapper of the JavaScript Library 'DataTables'.
Data obje... | normal | {
"blob_id": "c88e2336432f93d95b4e2285aa532b673a4a410b",
"index": 1095,
"step-1": "<mask token>\n\n\nclass RDt(RPackage):\n <mask token>\n <mask token>\n version('0.23', sha256=\n '360ae2fcb1141125a1b16448570fc37d14c4dd3f78a872c26df4fda1787cdc70')\n version('0.20', sha256=\n 'c66d7f49ec1... | [
1,
2,
3,
4,
5
] |
#!/usr/bin/python
# -*-coding:utf-8 -*-
import smtplib
import MySQLdb
import datetime
import types
def sendEmail(sender,passwd,host,port,receivers,date,mail) :
message = MIMEText(mail, 'html', 'utf-8')
message['From'] = Header("告警发送者<"+sender+">", 'utf-8')
subject = str(date) + '服务器告警通知'
message['Subjec... | normal | {
"blob_id": "221a75d37fbb49e8508fc786ee8e6e90b19e12c0",
"index": 4683,
"step-1": "#!/usr/bin/python\n# -*-coding:utf-8 -*-\nimport smtplib\nimport MySQLdb\nimport datetime\nimport types\ndef sendEmail(sender,passwd,host,port,receivers,date,mail) :\n message = MIMEText(mail, 'html', 'utf-8')\n message['From... | [
0
] |
from flask_wtf import FlaskForm
from wtforms import StringField, SelectField,SubmitField, PasswordField, RadioField, MultipleFileField, SubmitField, TextAreaField
from wtforms.fields.html5 import EmailField, TelField, DateField
from wtforms.validators import DataRequired, Email, Length, InputRequired
class SignUpForm(... | normal | {
"blob_id": "32ed07a89a6f929a6c4b78fd79e687b85e01015b",
"index": 535,
"step-1": "<mask token>\n\n\nclass ForgotForm(FlaskForm):\n email = EmailField('Email Id*', validators=[DataRequired(), Email()])\n design = SelectField(u'Designation*', choices=[('admin', 'Admin'), (\n 'stud', 'Student')], valida... | [
8,
10,
11,
12,
14
] |
from django.contrib import admin
from .models import Hash
admin.site.register(Hash)
| normal | {
"blob_id": "e2e4adaa8f7f62662e0c2915faff1bed72986351",
"index": 1084,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nadmin.site.register(Hash)\n",
"step-3": "from django.contrib import admin\nfrom .models import Hash\nadmin.site.register(Hash)\n",
"step-4": null,
"step-5": null,
"step-ids": [
... | [
0,
1,
2
] |
def multiply(num1, num2):
return num1 * num2
| normal | {
"blob_id": "e835e75f444e97ca948ce27504cc9149ea0092f6",
"index": 1946,
"step-1": "<mask token>\n",
"step-2": "def multiply(num1, num2):\n return num1 * num2\n",
"step-3": null,
"step-4": null,
"step-5": null,
"step-ids": [
0,
1
]
} | [
0,
1
] |
import praw
import config
from imgurpython import ImgurClient
import datetime
from time import sleep
def respond_to_comment(comment, album_user, album_url, num_images, num_gifs):
body = "Here is an album of all unique image/gif posts made by " \
"[{user}]({album_url}). ({num_images} images" \
... | normal | {
"blob_id": "ca009022832963934230e356f9ea9eaedac7378b",
"index": 1745,
"step-1": "<mask token>\n\n\ndef update_album(user, imgur_client, reddit_client):\n return\n\n\n<mask token>\n\n\ndef is_gif(url):\n return True\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\ndef respond_to_comment(comment, album_... | [
2,
6,
7,
8,
9
] |
sum_value = 0
for _ in range(5):
sum_value += int(input())
print(sum_value)
| normal | {
"blob_id": "4add80894036e0395a6e6eb13e8a2db0d963de8c",
"index": 9654,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor _ in range(5):\n sum_value += int(input())\nprint(sum_value)\n",
"step-3": "sum_value = 0\nfor _ in range(5):\n sum_value += int(input())\nprint(sum_value)\n",
"step-4": nul... | [
0,
1,
2
] |
a=raw_input("Enter the column\n")
b=raw_input("Enter the row\n")
i=0
k=0
m=0
c=""
d=""
while (m<int(b)):
while(i<int(a)):
c=c+" "
for j in xrange(1,4):
c=c+"-"
i=i+1
while(k<int(a)):
d=d+"|"
for l in xrange(1,4):
d=d+" "
k=k+1
m=m+1
... | normal | {
"blob_id": "c28d7fc45be9a6efa7b7ef00520898c3d238ac63",
"index": 5518,
"step-1": "a=raw_input(\"Enter the column\\n\")\nb=raw_input(\"Enter the row\\n\")\ni=0\nk=0\nm=0\nc=\"\"\nd=\"\"\nwhile (m<int(b)):\n while(i<int(a)):\n c=c+\" \"\n for j in xrange(1,4):\n c=c+\"-\"\n i=i+1... | [
0
] |
import csv
import os
from collections import namedtuple
from typing import List, Dict
from config import *
HEADER = ['File', 'LKHContigs', 'LKHValue', 'LKHTime', 'APContigs', 'APValue', 'APTime', 'ActualObjectiveValue']
Assembly_Stats = namedtuple('Assembly_Stats', HEADER)
dir = '/home/andreas/GDrive/workspace/spars... | normal | {
"blob_id": "edd98e3996b0fce46d33dd33340018ab5b029637",
"index": 2333,
"step-1": "<mask token>\n\n\ndef read_assembly_file(file: str) ->List:\n if not os.path.isfile(file):\n return [-1, -1, -1, -1, -1, -1]\n with open(file, 'r') as f:\n file_content_string = f.read()\n if 'LKH_Contigs... | [
5,
7,
8,
9,
10
] |
#
# tests/middleware/test_static.py
#
import pytest
import growler
from pathlib import Path
from unittest import mock
from sys import version_info
from growler.middleware.static import Static
@pytest.fixture
def static(tmpdir):
return Static(str(tmpdir))
def test_static_fixture(static, tmpdir):
assert isin... | normal | {
"blob_id": "9a7994a1e51c9cf7fe7d8b50ab26fa3d789fc8e5",
"index": 1012,
"step-1": "<mask token>\n\n\n@pytest.fixture\ndef static(tmpdir):\n return Static(str(tmpdir))\n\n\ndef test_static_fixture(static, tmpdir):\n assert isinstance(static, Static)\n assert str(static.path) == str(tmpdir)\n\n\n<mask toke... | [
4,
7,
8,
9,
10
] |
# Input Output test (입출력 테스트 )
"""
날짜 : 2021/04/27
이름 : 이지영
내용 : 파이썬 표준입출력 실습 _ 교재 p42
"""
# 파이썬 표준 출력
print('hello', end='!') #print : 출력함수 (자바에선 document.write('hello');)
print('python')
print('010', '1234', '1111', sep='-') # seperate 값
# 파이썬 표준 입력
num = input('숫자입력 : ')
print('입력한 숫자 :', num)
print('num type :'... | normal | {
"blob_id": "cc628270a973866025a5e2a5d07e39b4dbdcd324",
"index": 1718,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint('hello', end='!')\nprint('python')\nprint('010', '1234', '1111', sep='-')\n<mask token>\nprint('입력한 숫자 :', num)\nprint('num type :', type(num))\n<mask token>\nprint('result :', resu... | [
0,
1,
2,
3
] |
from django.shortcuts import render
from django.shortcuts import redirect
from block.models import Block
from .models import Article
from .forms import ArticleForm
from django.core.paginator import Paginator
from django.contrib.auth.decorators import login_required
def article_list(request, block_id):
block_id = ... | normal | {
"blob_id": "0f94537fa64066bb29c5e9e97836b0a8ac01ac19",
"index": 9844,
"step-1": "<mask token>\n\n\n@login_required\ndef article_create(request, block_id):\n block_id = int(block_id)\n block = Block.objects.get(id=block_id)\n if request.method == 'GET':\n return render(request, 'article_create.ht... | [
1,
2,
3,
4,
5
] |
import numpy as np
import pandas as pd
from sklearn.model_selection import train_test_split
from sklearn.model_selection import GroupKFold
from sklearn.linear_model import LinearRegression
from sklearn.metrics import mean_squared_log_error
from sklearn.preprocessing import OneHotEncoder
from sklearn.linear_model import... | normal | {
"blob_id": "6028b46eab422dea02af24e9cf724fe0d8b3ecc4",
"index": 9531,
"step-1": "<mask token>\n\n\ndef test_lasso():\n test = pd.read_csv('./data/test.csv')\n building_metadata = pd.read_csv('./data/building_metadata.csv')\n weather_test = pd.read_csv('./data/weather_test.csv')\n test.sort_values(by... | [
1,
2,
3,
4,
5
] |
##Extras
def permissao():
editor = False
for row in session.auth.user_groups:
grupo = session.auth.user_groups[row]
if (grupo == "gerenciador") or (grupo == "administrador"):
editor = True
return editor | normal | {
"blob_id": "70de2bed00aabe3805c3a19da004713d4109568a",
"index": 9036,
"step-1": "<mask token>\n",
"step-2": "def permissao():\n editor = False\n for row in session.auth.user_groups:\n grupo = session.auth.user_groups[row]\n if grupo == 'gerenciador' or grupo == 'administrador':\n ... | [
0,
1,
2
] |
import os
import json
import random
chapter_mode = True
setname = 'test_other'
use_chapter = '_chapter'
minlen = 1000
maxlen = 1000
context = '_1000'
info_json = 'bookinfo{}_{}{}.json'.format(use_chapter, setname, context)
book_ID_mapping = {}
with open('speaker_book.txt') as fin:
for line in fin:
elems ... | normal | {
"blob_id": "3b41bd59c133bb04dae3aa48dc0699388d5bf3d4",
"index": 8346,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nwith open('speaker_book.txt') as fin:\n for line in fin:\n elems = line.split('|')\n ID = elems[0].lstrip().strip()\n speaker = elems[1].lstrip().strip()\n ... | [
0,
1,
2,
3,
4
] |
import os
f_s_list = [2, 1.5, 1, 0.5, 0.2]
g_end_list = [500, 1000, 2000, 5000, 10000, 20000, 60000]
h_i_list = [(10000 * i, 10000 * (i + 1)) for i in range(6)]
i_seed_list = [1, 12, 123, 1234, 12345, 123456]
for s in f_s_list:
os.system("python SKs_model.py " + str(s) + " 0 10000 0 relu")
for train_end in g_... | normal | {
"blob_id": "56a681015ea27e2c8e00ab8bcc8019d5987c4ee1",
"index": 6949,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor s in f_s_list:\n os.system('python SKs_model.py ' + str(s) + ' 0 10000 0 relu')\nfor train_end in g_end_list:\n os.system('python SKs_model.py 0.2 0 ' + str(train_end) + ' 0 rel... | [
0,
1,
2,
3,
4
] |
import uuid
import json
import pytest
import requests
import httpx
from spinta.testing.manifest import bootstrap_manifest
from spinta.utils.data import take
from spinta.testing.utils import error
from spinta.testing.utils import get_error_codes, RowIds
from spinta.testing.context import create_test_context
from spint... | normal | {
"blob_id": "57e9c1a4ac57f68e0e73c2c67c6828de8efb1b16",
"index": 3903,
"step-1": "<mask token>\n\n\ndef _push_test_data(app, model, data=None):\n app.authmodel(model, ['insert'])\n resp = app.post('/', json={'_data': [{**res, '_op': 'insert', '_type':\n model} for res in data or test_data]})\n as... | [
43,
48,
56,
58,
63
] |
include_rules = [
"+apps",
"+components/live_caption",
"+services/device/public",
"+components/device_reauth",
# Enable remote assistance on Chrome OS
"+remoting/host",
]
specific_include_rules = {
".*test.*": [
"+chrome/browser/ui/views/frame",
"+components/captive_portal",
"+components/web... | normal | {
"blob_id": "728af8b07bc391b496709e54926f3f1f49897176",
"index": 1992,
"step-1": "<mask token>\n",
"step-2": "include_rules = ['+apps', '+components/live_caption',\n '+services/device/public', '+components/device_reauth', '+remoting/host']\nspecific_include_rules = {'.*test.*': ['+chrome/browser/ui/views/fr... | [
0,
1,
2
] |
'''
Created on Mar 19, 2019
@author: malte
'''
import gc
import pickle
from hyperopt import tpe, hp
from hyperopt.base import Trials
from hyperopt.fmin import fmin
from config.globals import BASE_PATH
from domain.features import FEATURES
from evaluate import evaluate
from featuregen.create_set import create_set
fro... | normal | {
"blob_id": "daf070291bbf59a7a06b129bbde5fd79b5cd46ad",
"index": 6715,
"step-1": "<mask token>\n\n\ndef objective(params):\n train = create_set(base_path=BASE_PATH + SET, conf=CONF, key=DSKEY,\n redo=False)\n test = train.query('train == 0')\n train.query('train == 1', inplace=True)\n X = trai... | [
2,
3,
4,
5,
6
] |
class Car:
__name=""
__maxspeed = 0
def __init__(self):
self.__updateSoftware()
self.__name = "Supercar"
self.__maxspeed=320
def drive(self):
print("Driving")
print("name of the car " + self.__name)
def __updateSoftware(self):
print("Updating So... | normal | {
"blob_id": "318556a6c327294986fcef938c254b8dfe66adaa",
"index": 6375,
"step-1": "class Car:\n <mask token>\n <mask token>\n\n def __init__(self):\n self.__updateSoftware()\n self.__name = 'Supercar'\n self.__maxspeed = 320\n\n def drive(self):\n print('Driving')\n ... | [
5,
6,
7,
8,
9
] |
import pygame
import os
from time import sleep
screen = pygame.display.set_mode((900,700))
screen.fill((255,255,255))
pygame.display.set_caption("NTUFOODIERECOMMENDSYSTEM")
'''
###########################
──╔╗────╔╗
──║║───╔╝╚╗
╔═╝╠╦══╬╗╔╬╦══╦═╗╔══╦═╦╗─╔╗
║╔╗╠╣╔═╝║║╠╣╔╗║╔╗╣╔╗║╔╣║─║║
║╚╝║║╚═╗║╚╣║╚╝║║... | normal | {
"blob_id": "2a8032c23e3c7aa3a7b0593c79db7adbc0353f93",
"index": 2125,
"step-1": "<mask token>\n\n\nclass button:\n\n def __init__(self, colour, x, y, width, height, text=''):\n self.colour = colour\n self.x = x\n self.y = y\n self.width = width\n self.height = height\n ... | [
11,
12,
15,
22,
23
] |
from rest_framework import serializers
from .models import *
__all__ = (
'CatalogCoinListSerializer', 'CatalogCoinSerializer', 'SeriesListSerializer', 'CoinListSerializer',
'CoinSerializer', 'CountriesListSerializer',
)
class CountriesListSerializer(serializers.ModelSerializer):
class Meta:
mode... | normal | {
"blob_id": "b77da75b01e96ff89f873f4c5764a62cf68cd576",
"index": 217,
"step-1": "<mask token>\n\n\nclass SeriesListSerializer(serializers.ModelSerializer):\n\n\n class Meta:\n model = Serie\n fields = 'name',\n\n\nclass CatalogCoinListSerializer(serializers.ModelSerializer):\n\n\n class Meta:... | [
7,
8,
9,
10,
11
] |
import sys
max = sys.maxsize
print(" sys.maxsize -> ", max)
| normal | {
"blob_id": "c1c79e5adc620690e4e386f7f1cd9f781eeec0ce",
"index": 6843,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(' sys.maxsize -> ', max)\n",
"step-3": "<mask token>\nmax = sys.maxsize\nprint(' sys.maxsize -> ', max)\n",
"step-4": "import sys\nmax = sys.maxsize\nprint(' sys.maxsize -> ', m... | [
0,
1,
2,
3,
4
] |
# class User:
# def __init__(self, name_parameter, email_parameter):
# self.nameofPerson = name_parameter
# self.emailofPerson = email_parameter
# self.account_balance = 0
# def depositMoney(self, amount);
# self.account_balance += amount
# return self
# def transfe... | normal | {
"blob_id": "c69dcffc06146af610a7976e522b6e35cabde1aa",
"index": 3050,
"step-1": "# class User:\n# def __init__(self, name_parameter, email_parameter):\n# self.nameofPerson = name_parameter\n# self.emailofPerson = email_parameter\n# self.account_balance = 0\n\n# def depositMoney(s... | [
1
] |
import pytest
def test_template():
assert True
| normal | {
"blob_id": "e7fa84dbc037253c7f852aa618e6ea88d1fda909",
"index": 1939,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef test_template():\n assert True\n",
"step-3": "import pytest\n\n\ndef test_template():\n assert True\n",
"step-4": null,
"step-5": null,
"step-ids": [
0,
1,
... | [
0,
1,
2
] |
import matplotlib.pyplot as plt
def xyplot(xdata,ydata,title):
fname = "/Users/nalmog/Desktop/swa_equipped_cumulative_"+title+".png"
#plt.figure(figsize=(500,500))
plt.plot(xdata, ydata)
plt.ylabel('some numbers')
# plt.savefig("/Users/nalmog/Desktop/swa_equipped_cumulative_"+title+".png", format... | normal | {
"blob_id": "10a7c1827abb8a87f5965453aa2d8f5e8b4914e5",
"index": 6563,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef xyplot(xdata, ydata, title):\n fname = '/Users/nalmog/Desktop/swa_equipped_cumulative_' + title + '.png'\n plt.plot(xdata, ydata)\n plt.ylabel('some numbers')\n plt.ti... | [
0,
1,
2,
3
] |
# -*- coding:utf-8 -*-
"""
Author:xufei
Date:2021/1/21
"""
| normal | {
"blob_id": "d39e3a552a7c558d3f5b410e0b228fb7409d732a",
"index": 928,
"step-1": "<mask token>\n",
"step-2": "# -*- coding:utf-8 -*-\n\"\"\"\nAuthor:xufei\nDate:2021/1/21\n\"\"\"\n",
"step-3": null,
"step-4": null,
"step-5": null,
"step-ids": [
0,
1
]
} | [
0,
1
] |
"""
This module takes care of starting the API Server, Loading the DB and Adding the endpoints
"""
import os
from flask import Flask, request, jsonify, url_for
from flask_migrate import Migrate
from flask_swagger import swagger
from flask_cors import CORS
from flask_jwt_extended import (
JWTManager, jwt_required, c... | normal | {
"blob_id": "36d596c1019dbaaf8dc394633ca464421517dc21",
"index": 3381,
"step-1": "\"\"\"\nThis module takes care of starting the API Server, Loading the DB and Adding the endpoints\n\"\"\"\nimport os\nfrom flask import Flask, request, jsonify, url_for\nfrom flask_migrate import Migrate\nfrom flask_swagger import... | [
0
] |
from . import views
from django.conf.urls import url,re_path
enquiryUrlPattern = [
url(r'daily-rate-enquiry', views.daily_rate_enquiry_form),
re_path(r'^contact-us-landing-page/$', views.contact_us_landing_page),
]
| normal | {
"blob_id": "ccf1710cff972eaa06e1ccb5ebedc70d946e3215",
"index": 4906,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nenquiryUrlPattern = [url('daily-rate-enquiry', views.\n daily_rate_enquiry_form), re_path('^contact-us-landing-page/$', views.\n contact_us_landing_page)]\n",
"step-3": "from . im... | [
0,
1,
2,
3
] |
# -*- coding: utf-8 -*-
import pandas as pd
import matplotlib.pyplot as plt
from tqdm import tqdm
from scipy.io import loadmat
from mpl_toolkits.mplot3d import axes3d
import matplotlib.pyplot as plt
import numpy as np
import copy
from matplotlib import cm
from matplotlib.animation import FuncAnimation
import scipy.opt... | normal | {
"blob_id": "f5820824b5b7e473b79b5dfee2f203684c3755be",
"index": 5154,
"step-1": "<mask token>\n\n\ndef vector_to_message(vector):\n vocab_file = open('data/vocab.txt', 'r')\n vocab = vocab_file.readlines()\n message_words = []\n for vocab_record, vector_enterance in zip(vocab, vector):\n is_t... | [
2,
3,
4,
5,
6
] |
import os
from unittest import TestCase
from pyfibre.gui.file_display_pane import FileDisplayPane
from pyfibre.tests.fixtures import (
directory,
test_image_path)
from pyfibre.tests.probe_classes.parsers import ProbeParser
from pyfibre.tests.probe_classes.readers import ProbeMultiImageReader
source_dir = os.p... | normal | {
"blob_id": "7c65d0bdd4fd808b3d87706357a651601368e43b",
"index": 8596,
"step-1": "<mask token>\n\n\nclass TestFileDisplayPane(TestCase):\n\n def setUp(self):\n self.file_display = FileDisplayPane(supported_readers={'Probe':\n ProbeMultiImageReader()}, supported_parsers={'Probe':\n ... | [
5,
6,
7,
8,
9
] |
from django.shortcuts import render, get_object_or_404
# Create your views here.
from django.http import HttpResponse
from .models import Post
from django.utils import timezone
def list_of_posts(request):
posts = (Post.objects
.filter(published_date__lte=timezone.now())
.order_b... | normal | {
"blob_id": "71a0900dc09b1ff55e4e5a4cc7cab617b9c73406",
"index": 4519,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef post_detail(request, pk):\n post = get_object_or_404(Post, pk=pk)\n return render(request, 'blog/post_detail.html', {'post': post})\n",
"step-3": "<mask token>\n\n\ndef li... | [
0,
1,
2,
3,
4
] |
import pandas as pd
import numpy as np
from scipy import misc
from sklearn.model_selection import train_test_split
from sklearn.utils import shuffle
import time
import math
import cv2
import matplotlib
matplotlib.use("TkAgg")
from matplotlib import pyplot as plt
from keras.models import Sequential
from keras.layers im... | normal | {
"blob_id": "b109568c4dba05b16cbed1759a2b9e0a99babc67",
"index": 2982,
"step-1": "<mask token>\n\n\ndef load_data(data):\n temp = []\n for i in range(len(data)):\n im = cv2.imread(data[i])\n im = misc.imresize(im, size=DOWNSAMPLE_RATIO)\n im = crop(im)\n temp.append(im)\n ret... | [
8,
10,
12,
16,
19
] |
# Generated by Django 3.0.5 on 2020-05-12 13:26
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='idcard',
fields=[
('id', models.AutoField(a... | normal | {
"blob_id": "422873f89468b1faabed96f72f463b6294b85276",
"index": 5314,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass Migration(migrations.Migration):\n <mask token>\n <mask token>\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass Migration(migrations.Migration):\n initial = T... | [
0,
1,
2,
3,
4
] |
from base_plugin import *
from plugin_utils import *
from datetime import datetime
import time
class LogPlugin(Plugin):
def initialize(self):
self.add_trigger(on_message)
self.add_command("!chatsearch", self.search)
self.add_command("!chatreplay", self.replay)
def run(self, message):
append_to_file(str(... | normal | {
"blob_id": "d932ab84848c9a8ca8bb23a57424b8f6190b6260",
"index": 2563,
"step-1": "<mask token>\n\n\nclass LogPlugin(Plugin):\n <mask token>\n <mask token>\n\n def search(self, message, query, *additional_queries):\n chat_history = read_lines_from_file('chatlog.log')\n chat_history.reverse(... | [
3,
4,
5,
6,
7
] |
from django.db import models
# Create your models here.
class GameGenre(models.Model):
genreName = models.CharField(max_length=100)
genreDescription = models.CharField(max_length=300)
def __str__(self):
return "%s" % (self.genreName)
class Game(models.Model):
gameName = models.CharField(... | normal | {
"blob_id": "092242cdb231e09ccf3dd4dccfb6d786c3e4aad2",
"index": 8036,
"step-1": "<mask token>\n\n\nclass Game(models.Model):\n gameName = models.CharField(max_length=100)\n genre = models.ForeignKey(GameGenre)\n\n def __str__(self):\n return '%s, %s' % (self.gameName, self.genre)\n\n\nclass Play... | [
6,
8,
9,
10,
11
] |
import os
import datetime
import traceback
import json
import requests
import logging
from model import Product
from naver_api import naver_client_id, naver_client_secret
DEBUG = False
if not DEBUG:
logging.getLogger('boto3').setLevel(logging.WARNING)
logging.getLogger('botocore').setLevel(logging.WARNING)
... | normal | {
"blob_id": "76905171602cbeb53903a4b0259685288da3a083",
"index": 6365,
"step-1": "<mask token>\n\n\ndef lambda_handler(event, context):\n products = list(Product.scan(Product.do_crawl == True))\n for product in products:\n product.search_lowest_price()\n print('{} product(s) crawled'.format(len(p... | [
1,
2,
3,
4,
5
] |
import os
import tkinter as tk
from tkinter import messagebox
from os.path import join
from pynput import keyboard
from src.save_count import SaveCount
class MainApplication(tk.Frame):
def __init__(self, root: tk.Tk):
super().__init__(root)
self.root = root
self.pack(padx=32, pady=32, e... | normal | {
"blob_id": "7e2bf898eb1c0118205042797e6dac535342979b",
"index": 185,
"step-1": "<mask token>\n\n\nclass MainApplication(tk.Frame):\n <mask token>\n\n def count_up(self):\n if self.var_count.get() == 0 and self.lst_counts.index(tk.END) == 0:\n SaveCount(tk.Toplevel(), self.save_to_listbox... | [
6,
9,
14,
15,
16
] |
# models.py
from sentiment_data import *
from utils import *
import nltk
from nltk.corpus import stopwords
import numpy as np
from scipy.sparse import csr_matrix
class FeatureExtractor(object):
"""
Feature extraction base type. Takes a sentence and returns an indexed list of features.
"""
def get_inde... | normal | {
"blob_id": "5d8d47d77fba9027d7c5ec4e672fc0c597b76eae",
"index": 4091,
"step-1": "<mask token>\n\n\nclass UnigramFeatureExtractor(FeatureExtractor):\n <mask token>\n <mask token>\n <mask token>\n\n\nclass BigramFeatureExtractor(FeatureExtractor):\n \"\"\"\n Bigram feature extractor analogous to th... | [
22,
29,
30,
31,
34
] |
from fastapi import APIRouter, Depends, status, Response
from typing import List
import schemas, database
from sqlalchemy.orm import Session
import repository.blog as blog
from .oauth2 import get_current_user
router = APIRouter(
prefix="/blog",
tags=['Blog'])
@router.get('/', status_code=statu... | normal | {
"blob_id": "7fd5e83d28e919e7b94cea290c6b4db3378938b6",
"index": 4600,
"step-1": "<mask token>\n\n\n@router.get('/', status_code=status.HTTP_200_OK, response_model=List[\n schemas.ShowBlog])\ndef all_blog(db: Session=Depends(database.get_db), current_user: schemas.\n User=Depends(get_current_user)):\n r... | [
4,
5,
6,
7,
8
] |
import time
import datetime
import mx
from openerp.report import report_sxw
class course_form(report_sxw.rml_parse):
def __init__(self, cr, uid, name, context):
super(course_form, self).__init__(cr, uid, name, context)
self.localcontext.update({
'time': time,
'time1': self.... | normal | {
"blob_id": "c4fcca61e560046c77046079fb305be8c883653b",
"index": 2077,
"step-1": "<mask token>\n\n\nclass course_form(report_sxw.rml_parse):\n <mask token>\n <mask token>\n\n def _get_course(self, data):\n training_category_obj = self.pool.get('hr.training.category')\n training_category_id... | [
4,
6,
7,
8,
9
] |
# import core modules and community packages
import sys, math, random
import pygame
# import configuration settings
from src.config import *
from src.board.levels import LEVEL_1
# import game elements
from src.pucman import Pucman
from src.ghast import Ghast
from src.board.board import Board
class Session():
def... | normal | {
"blob_id": "f51a21ed71ede4e7462d9c77cb932a5f05b09e71",
"index": 9174,
"step-1": "<mask token>\n\n\nclass Session:\n <mask token>\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass Session:\n <mask token>\n\n def start(self):\n self.board.draw()\n session = True\n while sess... | [
1,
2,
3,
4,
5
] |
def label_modes(trip_list, silent=True):
"""Labels trip segments by likely mode of travel.
Labels are "chilling" if traveler is stationary, "walking" if slow,
"driving" if fast, and "bogus" if too fast to be real.
trip_list [list]: a list of dicts in JSON format.
silent [bool]: if True, does n... | normal | {
"blob_id": "3f4e8402bbd096a33ed159ca0fed250c74c2f876",
"index": 4833,
"step-1": "<mask token>\n",
"step-2": "def label_modes(trip_list, silent=True):\n \"\"\"Labels trip segments by likely mode of travel.\n\n Labels are \"chilling\" if traveler is stationary, \"walking\" if slow,\n \"driving\" if... | [
0,
1,
2
] |
#!/usr/bin/env python3
import re
import subprocess
PREFIX = "Enclave/"
OBJ_FILES = [
# "Enclave.o",
"p_block.o",
# "symbols.o",
"runtime.o",
"primitives.o",
"unary_op.o",
"unary/isna.o",
"unary/mathgen.o",
"unary/mathtrig.o",
"unary/plusminus.o",
"unary/summary.o",
"unar... | normal | {
"blob_id": "45d69194e14e8c20161e979d4ff34d0b90df4672",
"index": 4750,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor obj_file in OBJ_FILES:\n cond_results[obj_file] = set()\n dump = subprocess.run(['objdump', '-M', 'intel', '-dr', PREFIX +\n obj_file], stdout=subprocess.PIPE, check=True... | [
0,
1,
2,
3,
4
] |
from armulator.armv6.bits_ops import add_with_carry, bit_not
from armulator.armv6.enums import InstrSet
from armulator.armv6.opcodes.opcode import Opcode
class SubsPcLrThumb(Opcode):
def __init__(self, instruction, imm32, n):
super().__init__(instruction)
self.imm32 = imm32
self.n = n
... | normal | {
"blob_id": "89376b2464dfb724197a1c1e164af8277e03ad59",
"index": 2507,
"step-1": "<mask token>\n\n\nclass SubsPcLrThumb(Opcode):\n <mask token>\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass SubsPcLrThumb(Opcode):\n\n def __init__(self, instruction, imm32, n):\n super().__init__(instruct... | [
1,
2,
3,
4,
5
] |
from django.shortcuts import render
from django.http import HttpResponse,JsonResponse
from ex.models import Teacher,Student,Group,Report,TeamEvaluation,PrivateLetter,ChatBoxIsOpen
from django.core import serializers
from rest_framework.views import APIView
from rest_framework.response import Response
from django.cont... | normal | {
"blob_id": "4b5794ff79371c2e49c5d2b621805b08c4ff7acb",
"index": 8898,
"step-1": "<mask token>\n\n\nclass searchContactView(APIView):\n\n def get(self, request, *args, **kwargs):\n try:\n try:\n payload = JwtQueryParamAuthentication.authenticate(self,\n requ... | [
14,
18,
21,
25,
26
] |
import pytest
from django.utils.crypto import get_random_string
from django.utils.timezone import now
from respa_exchange import listener
from respa_exchange.ews.xml import M, NAMESPACES, T
from respa_exchange.models import ExchangeResource
from respa_exchange.tests.session import SoapSeller
class SubscriptionHandle... | normal | {
"blob_id": "e4bfa0a55fe0dbb547bc5f65554ef96be654ec7a",
"index": 2176,
"step-1": "<mask token>\n\n\nclass SubscriptionHandler(object):\n <mask token>\n <mask token>\n\n def handle_subscribe(self, request):\n if not request.xpath('//m:StreamingSubscriptionRequest', namespaces\n =NAMESPA... | [
4,
7,
8,
9,
10
] |
## PURPOSE: get reads for certain motifs across certain tumors
## INPUT: manifest data all-tumor-manifest.csv
## collapsed fastq files sample.converted.unpaired.fastq.collapsed
## OUTPUT: table containing reads for specific motif across samples motif.tumor.common.reads.fastq.collapsed.summary.tsv
import... | normal | {
"blob_id": "ddabceb223f4e457a0f69af5abf793ae72e5f432",
"index": 1465,
"step-1": "<mask token>\n\n\ndef getCollapsedFastqDataframe(file):\n df = pd.read_table(file, header=None, delim_whitespace=True)\n df = df.dropna(axis=1, how='all')\n sample = file.split('/')\n sample = sample[len(sample) - 1]\n ... | [
2,
3,
4,
5,
6
] |
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