code stringlengths 13 1.2M | order_type stringclasses 1
value | original_example dict | step_ids listlengths 1 5 |
|---|---|---|---|
# -*- coding: utf-8 -*-
"""
Created on Wed Dec 18 21:03:43 2019
@author: 00124175
"""
"""
读取txt文件
该文本中的分割符既有空格又有制表符（'/t'）,sep参数用'/s+'，可以匹配任何空格。
"""
#header=None:没有每列的column name，可以自己设定
#encoding='gb2312':其他编码中文显示错误
#sep=',':用逗号来分隔每行的数据
#index_col=0:设置第1列数据作为index
import pandas as pd
data = pd.read_table("1206sjl.txt"... | normal | {
"blob_id": "ab760ec4cbb9f616f38b0f0f2221987460c6f618",
"index": 6492,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nmydata.rename(columns=lambda x: x.strip(' '), inplace=True)\n<mask token>\nprint(my_need_data.iloc[:, 0:3])\nmy_need_data.to_csv('result_csv.csv', index=0)\n",
"step-3": "<mask token>\n... | [
0,
1,
2,
3,
4
] |
#!/usr/bin/env python
import pathlib
from blastsight.view.viewer import Viewer
"""
In this demo, we'll show how you can create a basic animation.
An animation is interpreted as changing the state of the viewer one frame at the time.
That means we'll define a function that makes a change in one single frame.
The fun... | normal | {
"blob_id": "00be3d813ce4335ff9ea02ed9f1884d3210f3d5a",
"index": 3101,
"step-1": "<mask token>\n\n\ndef autorotate(angle):\n v.set_rotation_angle([0.0, -angle, 0.0])\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\ndef autorotate(angle):\n v.set_rotation_angle([0.0, -angle, 0.0])\n\n\n<mask token>\nv.a... | [
1,
2,
3,
4,
5
] |
##############################
# SConscript for OgreOpcode #
##############################
#SCons scripts maintained by:
# Van Aarde "nanocell" Krynauw.
#TODO:
# - Add commandline options to specify include dirs, defines, compiler defs, libraries, etc.
# - Add Sconscripts for the samples.
# - Add a binary SConstruc... | normal | {
"blob_id": "ed1df078ad2e8d770f3d8c41493b5537ed106e3a",
"index": 1954,
"step-1": "##############################\n# SConscript for OgreOpcode #\n##############################\n#SCons scripts maintained by:\n# Van Aarde \"nanocell\" Krynauw.\n\n#TODO:\n# - Add commandline options to specify include dirs, defin... | [
0
] |
import gc
import network
import lib.gate as gate
import time
from micropython import const
from ubluetooth import BLE
import lib.webserver as webserver
bt = BLE()
bt.active(True)
_IRQ_SCAN_RESULT = const(5)
_IRQ_SCAN_DONE = const(6)
def byteToMac(addr):
m = memoryview(addr)
a = "{:0>2X}:{:0>2... | normal | {
"blob_id": "99c60befed32a9aa80b6e66b682d9f475e05a8d1",
"index": 2562,
"step-1": "<mask token>\n\n\ndef handler(event, data):\n if event == _IRQ_SCAN_RESULT:\n addr_type, addr, adv_type, rssi, adv_data = data\n print(addr_type, memoryview(addr), adv_type, rssi, memoryview(adv_data)\n ... | [
2,
5,
6,
7,
8
] |
from flask import request,Flask, render_template
from bs4 import BeautifulSoup as bs
from urllib.request import Request,urlopen
import re
app = Flask(__name__)
@app.route('/')
def addRegion():
return render_template('Website WordCount.html')
@app.route('/output_data', methods=['POST','GET'])
def output_data():
... | normal | {
"blob_id": "11dfb09286b8a5742550b5300c776ed82e69ead5",
"index": 2577,
"step-1": "<mask token>\n\n\n@app.route('/')\ndef addRegion():\n return render_template('Website WordCount.html')\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\n@app.route('/')\ndef addRegion():\n return render_template('Website W... | [
1,
3,
4,
5,
6
] |
### 15/04/2020
### Author: Omer Goder
### Looping through a list
months = ['january','fabruary','march','april','may','june','july','august','september','october','november','december']
# Using a for loop to print a list
for month in months:
print("The next month is:\t" + month)
print('\n')
print("\nEnd ... | normal | {
"blob_id": "bc8bc5c3b6954302d005fe618827c644f93ad14e",
"index": 6030,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor month in months:\n print('The next month is:\\t' + month)\n print('\\n')\nprint(\"\"\"\nEnd of program\n\"\"\")\n",
"step-3": "months = ['january', 'fabruary', 'march', 'april... | [
0,
1,
2,
3
] |
class Rectangle():
def __init__(self,length,breadth):
self.length=length
self.breadth=breadth
def area(self):
return(self.length*self.breadth)
def perimeter(self):
return(2*(self.length+self.breadth))
r1=Rectangle(4,5)
r2=Rectangle(5,7)
a1=r1.area()
a2=r2.area()
p1=r1.perim... | normal | {
"blob_id": "d5691403812cd3742f8e8b74d4ca613eca784ffd",
"index": 9677,
"step-1": "class Rectangle:\n <mask token>\n <mask token>\n\n def perimeter(self):\n return 2 * (self.length + self.breadth)\n\n\n<mask token>\n",
"step-2": "class Rectangle:\n\n def __init__(self, length, breadth):\n ... | [
2,
3,
4,
6,
7
] |
import turtle
hexagon = turtle.Turtle()
for i in range(6):
hexagon.forward(100)
hexagon.left(60)
| normal | {
"blob_id": "f6401eca2dc0ea86a934e859c35fa2d6c85a61b3",
"index": 8695,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor i in range(6):\n hexagon.forward(100)\n hexagon.left(60)\n",
"step-3": "<mask token>\nhexagon = turtle.Turtle()\nfor i in range(6):\n hexagon.forward(100)\n hexagon.left... | [
0,
1,
2,
3
] |
"""
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
] |
from scipy.stats import itemfreq
from sklearn.model_selection import StratifiedKFold
from keras_utils.keras_utils import *
from keras.utils.np_utils import to_categorical
from keras.layers import Input, Embedding, Dense, GlobalAveragePooling1D, Flatten
from keras.layers import add, multiply, LSTM, Bidirectiona... | normal | {
"blob_id": "0b125e7e9e763d4fd71e381ca823f9e9aa8ea606",
"index": 8198,
"step-1": "<mask token>\n\n\nclass MaskedGlobalAveragePooling1D(GlobalAveragePooling1D):\n\n def __init__(self, **kwargs):\n super(MaskedGlobalAveragePooling1D, self).__init__(**kwargs)\n self.supports_masking = True\n\n\ncla... | [
7,
11,
13,
14,
15
] |
# -*- coding: utf-8 -*-
import random
from cocos.actions import MoveTo, CallFuncS
from cocos.sprite import Sprite
import define
def kill(spr):
spr.unschedule(spr.update)
arena = spr.parent.parent
if not spr.is_big:
arena.batch.add(Dot())
spr.killer.add_score()
else:
spr.killer... | normal | {
"blob_id": "be06a0ad22f4ae9ab4c0acea6a7c601c14a90fc4",
"index": 1995,
"step-1": "<mask token>\n\n\nclass Dot(Sprite):\n <mask token>\n\n def update(self, dt):\n arena = self.parent.parent\n snake = arena.snake\n self.check_kill(snake)\n for s in arena.enemies:\n self... | [
2,
4,
5,
6,
7
] |
##########################################################################################
## Scene Classification ##
## Authors : Chris Andrew, Santhoshini Reddy, Nikath Yasmeen, Sai Hima, Sriya Ragini ##
###############################################... | normal | {
"blob_id": "b8b20d6c977a6c1df6a592188c6e799f12da6a23",
"index": 9734,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor line in f:\n l = line.strip()\n l = l.split(',')\n l = map(float, l)\n data.append(l)\nf.close()\nfor i in range(100):\n shuffle(data)\nfor l in data:\n train_data.a... | [
0,
1,
2,
3,
4
] |
"""
Implements a Neural Network
"""
from vectorflux import VectorFlux
from mnist import read, show, normalize
from vectorflux.layers import Dense
from vectorflux.layers.Dropout import Dropout
train = list(read('train'))
test = list(read('test'))
print("Train size: {}".format(len(train)))
print("Test size: {}".forma... | normal | {
"blob_id": "94d296b5a13bfa59dba5812da31707f9db9080af",
"index": 1292,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint('Train size: {}'.format(len(train)))\nprint('Test size: {}'.format(len(test)))\n<mask token>\nvf.add(Dense(800, activation='sigmoid', input_shape=784, optimizer='Momentum'))\nvf.add... | [
0,
1,
2,
3,
4
] |
from PyQt5.QtWidgets import *
from select_substituents_table import *
from save_selection_dialog import *
class SelectSubsDialog(QDialog):
def __init__(self, r_group):
super().__init__()
self.r_group = r_group
self.substituents = None
self.new_set_saved = False
self.setWi... | normal | {
"blob_id": "849db3a92e0544661dd465b3e7f6949f8de5633b",
"index": 5099,
"step-1": "<mask token>\n\n\nclass SelectSubsDialog(QDialog):\n <mask token>\n\n def enable_save_buttons(self):\n self.confirm_button.setEnabled(True)\n self.save_as_set_button.setEnabled(True)\n\n def get_substituents(... | [
7,
8,
9,
11,
12
] |
"""
Merkle: Implementation of Merkle Trees over Blake2
"""
from typing import List, Any
from hashlib import blake2b
class Merkle:
"""
We consider the merkle tree as a commitment protocol implementing
the interface:
* commit_() : commits to a list by computing the merkle tree.
* open_() : opens the... | normal | {
"blob_id": "547926904f9a4b88a988e3b59c49b94fe0e30de4",
"index": 1955,
"step-1": "<mask token>\n\n\nclass Merkle:\n <mask token>\n <mask token>\n\n def commit_(leafs):\n assert len(leafs) & len(leafs\n ) - 1 == 0, 'List must be of a power two length'\n if len(leafs) == 1:\n ... | [
6,
7,
9,
10,
11
] |
class CustomPrinter(object):
def __init__(self, val):
self.val = val
def to_string(self):
res = "{"
for m in xrange(64):
res += hex(int(self.val[m]))
if m != 63:
res += ", "
res += " }"
return res
def lookup_type(val):
if str... | normal | {
"blob_id": "4d5b2ed016cfc6740c3ee5397c894fabc1bec73f",
"index": 6963,
"step-1": "class CustomPrinter(object):\n <mask token>\n\n def to_string(self):\n res = '{'\n for m in xrange(64):\n res += hex(int(self.val[m]))\n if m != 63:\n res += ', '\n re... | [
2,
3,
4,
5,
6
] |
from asteroidhunter import __version__
import unittest, requests, json, os, pytest
from dotenv import load_dotenv
load_dotenv()
from asteroidhunter.asteroid_closest_approach import asteroid_closest_approach
def test_version():
assert __version__ == '0.1.0'
@pytest.mark.vcr()
def test_asteroid_closest_approach()... | normal | {
"blob_id": "7dd4dc60b23c72ba450025bececb0e6d89df69c3",
"index": 8263,
"step-1": "<mask token>\n\n\ndef test_version():\n assert __version__ == '0.1.0'\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\ndef test_version():\n assert __version__ == '0.1.0'\n\n\n@pytest.mark.vcr()\ndef test_asteroid_closest... | [
1,
2,
3,
4
] |
import numpy as np
import math
class KMeans(object):
def __init__(self, data, option):
self.data = data
self.membership = None
self.centroids = None
self.option = option
self.temp_data = None
def fit(self, K):
data = np.asmatrix(self.data[0])
if self.o... | normal | {
"blob_id": "5cf73e003b744b438c0db67ab39fb10a3f879f2f",
"index": 8556,
"step-1": "<mask token>\n\n\nclass KMeans(object):\n <mask token>\n <mask token>\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass KMeans(object):\n\n def __init__(self, data, option):\n self.data = data\n self... | [
1,
2,
4,
5,
6
] |
"""asks the user for english words to latinize"""
def latinize_word(word):
"""performs bee latin on a word"""
if word[0].lower() in 'bcdfghjklmnpqrstvwxyz':
word = word[1:] + word[0] + 'uzz'
else:
word += 'buzz'
return word.lower()
def latinize_sentence(sentence):
"""performs bee... | normal | {
"blob_id": "5810739300067e8f207d09bf971484a278372a9a",
"index": 5246,
"step-1": "<mask token>\n\n\ndef latinize_word(word):\n \"\"\"performs bee latin on a word\"\"\"\n if word[0].lower() in 'bcdfghjklmnpqrstvwxyz':\n word = word[1:] + word[0] + 'uzz'\n else:\n word += 'buzz'\n return ... | [
1,
2,
3,
4,
5
] |
# %%
import numpy as np
from numpy import sin, cos, pi
import gym
import seagul.envs
from seagul.integration import rk4,euler
from control import lqr, ctrb
from torch.multiprocessing import Pool
import matplotlib.pyplot as plt
import matplotlib
#matplotlib.use('Qt5Agg')
import time
global_start = time.time()
# %%
... | normal | {
"blob_id": "358d4573ff386d6874d5bb5decfe71c71141bf1c",
"index": 2525,
"step-1": "<mask token>\n\n\ndef control(q):\n gs = np.array([pi / 2, 0, 0, 0])\n return -k.dot(q - gs)\n\n\ndef reward_fn(s, a):\n reward = np.sin(s[0]) + 2 * np.sin(s[0] + s[1])\n done = reward < 2\n return reward, done\n\n\n... | [
5,
6,
7,
8,
9
] |
# -*- coding: utf-8 -*-
# Generated by Django 1.9.8 on 2018-04-27 08:05
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('talk', '0023_auto_20180207_1121'),
]
operations = [
migrations.AddField(
... | normal | {
"blob_id": "f85a703b47d981397ed6048e941030a3fbee7b6d",
"index": 229,
"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 = [('talk', '0023... | [
0,
1,
2,
3,
4
] |
# Generated by Django 2.1.7 on 2019-03-24 07:08
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('adminsite', '0005_auto_20190324_0706'),
]
operations = [
migrations.RenameField(
model_name='district',
old_name='District',... | normal | {
"blob_id": "6e56c7792d88385cc28c48a7d6dd32b9d6917c64",
"index": 2913,
"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 = [('adminsite',... | [
0,
1,
2,
3,
4
] |
from django.apps import AppConfig
class CfCoreConfig(AppConfig):
name = 'cf_core'
| normal | {
"blob_id": "01847c9e601eae6775cd4324483740c30e344557",
"index": 382,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass CfCoreConfig(AppConfig):\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass CfCoreConfig(AppConfig):\n name = 'cf_core'\n",
"step-4": "from django.apps import AppCon... | [
0,
1,
2,
3
] |
from django.apps import AppConfig
class PersianConfig(AppConfig):
name = 'persian'
| normal | {
"blob_id": "6b0d1de4c77841f20670331db3332cf87be7ad84",
"index": 3931,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass PersianConfig(AppConfig):\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass PersianConfig(AppConfig):\n name = 'persian'\n",
"step-4": "from django.apps import App... | [
0,
1,
2,
3
] |
from rest_framework import serializers
from .models import SensorValue
class SensorValueSerializer(serializers.ModelSerializer):
timestamp = serializers.DateTimeField(required=False)
class Meta:
model = SensorValue
fields = ("id", "timestamp", "sensor_type", "value")
| normal | {
"blob_id": "39312ec60c9ef1c9c95cf4206b6d0bbdb0aedf94",
"index": 9042,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass SensorValueSerializer(serializers.ModelSerializer):\n <mask token>\n\n\n class Meta:\n model = SensorValue\n fields = 'id', 'timestamp', 'sensor_type', 'valu... | [
0,
1,
2,
3,
4
] |
# from django.contrib.auth import forms
# class UserRegister(froms.M):
# class Meta:
# fields = []
| normal | {
"blob_id": "c1f432ff70b21064f36cf9651f8cff9c69361d5c",
"index": 9073,
"step-1": "# from django.contrib.auth import forms\n\n\n\n# class UserRegister(froms.M):\n# class Meta:\n# fields = []\n",
"step-2": null,
"step-3": null,
"step-4": null,
"step-5": null,
"step-ids": [
1
]
} | [
1
] |
import logging
import os
from os.path import exists, abspath, join, dirname
from os import mkdir
os.environ["MKL_NUM_THREADS"] = "1"
os.environ["MP_NUM_THREADS"] = "1"
from smallab.runner_implementations.multiprocessing_runner import MultiprocessingRunner
from plannin_experiment import PlanningExperiment
mpl_logger ... | normal | {
"blob_id": "88d8d04dd7117daed0e976f3abc52c5d7bf18434",
"index": 9334,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nmpl_logger.setLevel(logging.WARNING)\n<mask token>\nif __name__ == '__main__':\n if 'experiments' in os.getcwd():\n os.chdir('../..')\n this_dir = dirname(abspath(__file__))\... | [
0,
1,
2,
3,
4
] |
#####
# Created on Oct 15 13:13:11 2019
#
# @author: inesverissimo
#
# Do pRF fit on median run, make iterative fit and save outputs
####
import os
# issue with tensorflow, try this suggestion
#NUM_PARALLEL_EXEC_UNITS = 16
#os.environ['OMP_NUM_THREADS'] = str(NUM_PARALLEL_EXEC_UNITS)
#os.environ["KMP_AFFINI... | normal | {
"blob_id": "d9156e240d49e0a6570a5bc2315f95a7a670fd4f",
"index": 6327,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nif len(sys.argv) < 2:\n raise NameError(\n 'Please add subject number (ex:1) as 1st argument in the command line!'\n )\nelif len(sys.argv) < 3:\n raise NameError(\n ... | [
0,
1,
2,
3,
4
] |
import numpy
import cv2
from keras.models import model_from_json
from keras.layers import Dense
from keras.utils import np_utils
import os
from keras.optimizers import SGD, Adam
numpy.random.seed(42)
file_json = open('model.json', "r")
model_json = file_json.read()
file_json.close()
model = model_from_json(model_json)... | normal | {
"blob_id": "05021c3b39a0df07ca3d7d1c3ff9d47be6723131",
"index": 4084,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nnumpy.random.seed(42)\n<mask token>\nfile_json.close()\n<mask token>\nmodel.load_weights('weights.h5')\nprint('Model loaded')\n<mask token>\nmodel.compile(loss='categorical_crossentropy',... | [
0,
1,
2,
3,
4
] |
from phylo_utils.data import fixed_equal_nucleotide_frequencies
from phylo_utils.substitution_models.tn93 import TN93
class K80(TN93):
_name = 'K80'
_freqs = fixed_equal_nucleotide_frequencies.copy()
def __init__(self, kappa, scale_q=True):
super(K80, self).__init__(kappa, kappa, 1, self._freqs, ... | normal | {
"blob_id": "0f0595793e98187c6aaf5b1f4b59affb06bb598e",
"index": 3159,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass K80(TN93):\n <mask token>\n <mask token>\n\n def __init__(self, kappa, scale_q=True):\n super(K80, self).__init__(kappa, kappa, 1, self._freqs, scale_q=scale_q\n... | [
0,
2,
3,
4
] |
# import sys
# sys.stdin = open("농작물input.txt")
T = int(input())
for n in range(1, T+1):
N = int(input())
arr = [list(map(int, list(input()))) for _ in range(N)]
# print(arr)
a = N//2
b = N//2
result = 0
for i in range(N):
for j in range(a, b+1):
result += arr[i][j]
... | normal | {
"blob_id": "2236591b3a30f51442beb20c6c43cc9e6cd921d2",
"index": 7530,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor n in range(1, T + 1):\n N = int(input())\n arr = [list(map(int, list(input()))) for _ in range(N)]\n a = N // 2\n b = N // 2\n result = 0\n for i in range(N):\n ... | [
0,
1,
2,
3
] |
# Importing the random library for random choice.
import random
getnum = int(input("Pick a number greater than 7: "))
# Error checking.
if (getnum < 7):
print("Error 205: Too little characters entered")
print("Run again using python passwordgenerator.py, or click the run button on your IDE.")
exit()
# A li... | normal | {
"blob_id": "c40bb410ad68808c2e0cc636820ec6a2ec2739b8",
"index": 4053,
"step-1": "<mask token>\n\n\ndef main(lista, getnum):\n password = ''\n for i in range(0, getnum):\n passchar = random.choice(lista)\n password = password + passchar\n print(password)\n passwordagain()\n\n\ndef passw... | [
2,
3,
4,
5,
6
] |
import csv, requests
from bs4 import BeautifulSoup
items = [] # chooseKey, count, grade, keyType, mainCategory, mainKey,
# name, pricePerOne, subCategory, subKey, totalTradeCount,
# mainLabel, subLabel, description
mpItems = [] # chooseKey, count, grade, keyType, mainCategory, mainKey,
... | normal | {
"blob_id": "47ad08bb153801f592d90c48d62338d0f7703899",
"index": 2788,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef openCsv():\n \"\"\"Open csv file.\"\"\"\n csvFile = 'BDO_app/modules/priceCheck/itemID.csv'\n return csvFile\n\n\ndef importAll():\n \"\"\"Import all the items from cs... | [
0,
3,
4,
5,
6
] |
"""Project agnostic helper functions that could be migrated to and external lib.
"""
| normal | {
"blob_id": "f15bb4ab93ecb2689bf74687852e60dfa98caea9",
"index": 7374,
"step-1": "<mask token>\n",
"step-2": "\"\"\"Project agnostic helper functions that could be migrated to and external lib.\n\"\"\"\n",
"step-3": null,
"step-4": null,
"step-5": null,
"step-ids": [
0,
1
]
} | [
0,
1
] |
columns = ['account', 'name', 'Death', 'archetype', 'profession', 'elite',
'phases.All.actual_boss.dps', 'phases.All.actual.dps',
'phases.All.actual_boss.flanking', 'phases.All.actual_boss.scholar',
'phases.All.actual_boss.condi_dps', 'phases.All.actual_boss.power_dps',
'phases.All.buffs.aegis', 'phases... | normal | {
"blob_id": "fa948838b5c2d688fe8c748166f23ffc8e677f93",
"index": 9265,
"step-1": "<mask token>\n",
"step-2": "columns = ['account', 'name', 'Death', 'archetype', 'profession', 'elite',\n 'phases.All.actual_boss.dps', 'phases.All.actual.dps',\n 'phases.All.actual_boss.flanking', 'phases.All.actual_boss.sc... | [
0,
1
] |
from django.forms import ModelForm, ChoiceField, Form, FileField, ModelChoiceField, HiddenInput, ValidationError
from market.models import *
class OrderForm(ModelForm):
"""Order form used in trader view."""
# from http://stackoverflow.com/questions/1697702/how-to-pass-initial-parameter-to-djangos-modelform-ins... | normal | {
"blob_id": "044e3479c32357e22ca3165d8601d8bd2a439fcb",
"index": 2329,
"step-1": "<mask token>\n\n\nclass OrderForm(ModelForm):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n\n class Meta:\n model = Order\n fields = 'stock', 'order... | [
3,
4,
5,
6,
8
] |
from simulating_blobs_of_fluid.simulation import Simulation
from simulating_blobs_of_fluid.fluid_renderer import FluidRenderer
import arcade
def main():
simulation = Simulation(particle_count=50, dt=0.016, box_width=250)
FluidRenderer(simulation.box_width, 800, simulation)
arcade.run()
if __name__ == ... | normal | {
"blob_id": "83733e707a1be131335c4980cdf4beed365eb530",
"index": 6011,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef main():\n simulation = Simulation(particle_count=50, dt=0.016, box_width=250)\n FluidRenderer(simulation.box_width, 800, simulation)\n arcade.run()\n\n\n<mask token>\n",
... | [
0,
1,
2,
3,
4
] |
import os
import pandas as pd
from sklearn.decomposition import PCA
import matplotlib.pyplot as plt
name="/home/t3cms/thessel/Workflow1.5/stop_data/stop_train_sig_wc.csv"
name_bkg="/home/t3cms/thessel/Workflow1.5/stop_data/stop_train_bkg_wc.csv"
drop_cols=[0,1,2,15]
names = [i for i in range(16)]
#columns=[]... | normal | {
"blob_id": "f8bb2851192a53e94e503c0c63b17477878ad9a7",
"index": 6926,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint('Before PCA', final_df)\nfor i in pca_df.columns:\n final_df[i] = pca_df[i]\nprint('After PCA', final_df)\n<mask token>\nfinal_df.iloc[:cut].to_csv('pca_stop_train_sig_wc.csv', h... | [
0,
1,
2,
3,
4
] |
# -*- coding: utf-8 -*-
# ----------------------------------------------------------------------------
# Copyright © 2020- Spyder Project Contributors
#
# Released under the terms of the MIT License
# ----------------------------------------------------------------------------
"""Tests for the execution of pylint."""
... | normal | {
"blob_id": "22792937415a8ee4cecff2a9683c435abe54bdab",
"index": 5516,
"step-1": "<mask token>\n\n\nclass MainWindowMock(QObject):\n sig_editor_focus_changed = Signal(str)\n\n def __init__(self):\n super(MainWindowMock, self).__init__(None)\n self.editor = Mock()\n self.editor.sig_edit... | [
10,
11,
12,
14,
15
] |
from . import preprocess
from . import utils
import random
import pickle
import feather
import time
import datetime
import sys
import os
import numpy as np
import pandas as pd
import json
from ...main import api
from flask import request
from flask_restplus import Resource, fields
import warnings
warnings.simplefilter... | normal | {
"blob_id": "c76fd9b196b50e6fcced7e56517c0cd8ab30e24e",
"index": 7891,
"step-1": "<mask token>\n\n\n@api.route('/predict')\n@api.expect(parser)\nclass Predict(Resource):\n <mask token>\n\n\n@api.route('/predict/<string:companyid>/<string:accountid>')\n@api.expect(parser)\nclass PredictEmployeeByCompany(Resour... | [
6,
7,
8,
10,
15
] |
import json
import pika
import urllib.request
def validate_urls():
connection = pika.BlockingConnection(pika.ConnectionParameters('localhost'))
channel = connection.channel()
channel.queue_declare(queue='urlValidationQueue')
channel.basic_consume(validate_url,
queue='urlValid... | normal | {
"blob_id": "4a09096abf073294afcf21b1eff9350329d4db33",
"index": 5252,
"step-1": "<mask token>\n\n\ndef validate_url(ch, method, properties, body):\n message = json.loads(body)\n valid = True\n print(f\"Got new URL to check: {message['url']}.\")\n try:\n urllib.request.urlopen('https://github.... | [
1,
2,
3,
4,
5
] |
age=int(input('请输入您的年龄：'))
subject=input('请输入您的专业：')
college=input('请输入您是否毕业于重点大学：(是/不是)')
if (subject=='电子信息工程' and age>25) or (subject=='电子信息工程' and college=='是') or (age<28 and subject=='计算机'):
print('恭喜您被录取！')
else:
print('抱歉，您未达到面试要求')
| normal | {
"blob_id": "4282303e3e6ee122f1379bea73c619870f983f61",
"index": 8580,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nif subject == '电子信息工程' and age > 25 or subject == '电子信息工程' and college == '是' or age < 28 and subject == '计算机':\n print('恭喜您被录取！')\nelse:\n print('抱歉，您未达到面试要求')\n",
"step-3": "age... | [
0,
1,
2,
3
] |
# Copyright 2014 The Oppia Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable ... | normal | {
"blob_id": "8a848eece6a3ed07889ba208068de4bfa0ad0bbf",
"index": 6744,
"step-1": "# Copyright 2014 The Oppia Authors. All Rights Reserved.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the Li... | [
0
] |
# Copyright 2021 Huawei Technologies Co., Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agree... | normal | {
"blob_id": "48cef0377087d9245aad1fb759adf8ff07d2b66f",
"index": 4464,
"step-1": "<mask token>\n\n\ndef cut_text_line(geo, scale_ratio_w, scale_ratio_h, im_array, img_path, s):\n geo /= [scale_ratio_w, scale_ratio_h]\n p_min = np.amin(geo, axis=0)\n p_max = np.amax(geo, axis=0)\n min_xy = p_min.astyp... | [
2,
4,
5,
6,
7
] |
'''
Created on Sep 4, 2014
@author: Jay <smile665@gmail.com>
'''
import socket
def ip_validation(ip):
'''
check if the ip address is in a valid format.
'''
try:
socket.inet_aton(ip)
return True
except socket.error:
return False
def connection_validation(ip, port):
'... | normal | {
"blob_id": "2bc9c0711831d9ed9009d0f9600153709bbcd6da",
"index": 9178,
"step-1": "'''\nCreated on Sep 4, 2014\n\n@author: Jay <smile665@gmail.com>\n'''\n\nimport socket\n\n\ndef ip_validation(ip):\n '''\n check if the ip address is in a valid format.\n '''\n try:\n socket.inet_aton(ip)\n ... | [
0
] |
from huobi import RequestClient
from huobi.constant.test import *
request_client = RequestClient(api_key=g_api_key, secret_key=g_secret_key)
obj_list = request_client.get_cross_margin_loan_orders()
if len(obj_list):
for obj in obj_list:
obj.print_object()
print()
| normal | {
"blob_id": "c65969bba72142f4a328f978d78e0235cd56e393",
"index": 8618,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nif len(obj_list):\n for obj in obj_list:\n obj.print_object()\n print()\n",
"step-3": "<mask token>\nrequest_client = RequestClient(api_key=g_api_key, secret_key=g_secr... | [
0,
1,
2,
3
] |
#!/usr/bin/env python
import pygame
import pygame.mixer as mixer
def pre_init():
mixer.pre_init(22050, -16, 2, 2048)
def init():
mixer.init()
pygame.mixer.set_num_channels(16)
def deinit():
mixer.quit()
class Music (object):
our_music_volume = 0.8
our_current_music = None
def __in... | normal | {
"blob_id": "2caea9e7bbef99b19ba917995513413385c7abdf",
"index": 9808,
"step-1": "<mask token>\n\n\nclass Music(object):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n @staticmethod\n def ... | [
12,
18,
21,
24,
25
] |
"""Visit module to add odoo checks
"""
import os
import re
import astroid
import isort
from pylint.checkers import utils
from six import string_types
from .. import misc, settings
ODOO_MSGS = {
# C->convention R->refactor W->warning E->error F->fatal
# Visit odoo module with settings.BASE_OMODULE_ID
'C... | normal | {
"blob_id": "9f34f94422f4847859e9111f34ade2e1274cb543",
"index": 8775,
"step-1": "<mask token>\n\n\nclass ModuleChecker(misc.WrapperModuleChecker):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n @utils.check_messages('consider-merging-classes-inherited')\n def... | [
24,
28,
33,
42,
46
] |
from end import Client
c = Client()
| normal | {
"blob_id": "1be510e6715d21e814c48fe05496704e9a65d554",
"index": 308,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nc = Client()\n",
"step-3": "from end import Client\nc = Client()\n",
"step-4": null,
"step-5": null,
"step-ids": [
0,
1,
2
]
} | [
0,
1,
2
] |
import datetime
import json
from dateutil import parser
import mock
from python_http_client.exceptions import ForbiddenError
from rdr_service import clock, config
from rdr_service.api_util import open_cloud_file
from rdr_service.clock import FakeClock
from rdr_service.dao.database_utils import format_datetime
from rd... | normal | {
"blob_id": "bd179fda18551d4f3d8a4d695a9da38ee607ef1d",
"index": 2168,
"step-1": "<mask token>\n\n\nclass GenomicJobControllerTest(BaseTestCase):\n\n def setUp(self):\n super(GenomicJobControllerTest, self).setUp()\n self.data_file_dao = GenomicGcDataFileDao()\n self.event_data_dao = Mess... | [
9,
13,
17,
22,
25
] |
#!/usr/bin/python
class Bob(object):
def __init__(self):
self.question_response = "Sure."
self.yell_response = "Woah, chill out!"
self.silent_response = "Fine. Be that way!"
self.whatever = "Whatever."
def hey(self, question):
if not(question) or question.strip()=='':
... | normal | {
"blob_id": "7ff7da216bdda5c30bf7c973c82886035b31247c",
"index": 4093,
"step-1": "<mask token>\n",
"step-2": "class Bob(object):\n <mask token>\n <mask token>\n",
"step-3": "class Bob(object):\n <mask token>\n\n def hey(self, question):\n if not question or question.strip() == '':\n ... | [
0,
1,
2,
3,
4
] |
"""
Utilities for calculations based on antenna positions,
such as baseline and phase factor.
"""
import os
import numpy as np
import pickle
c = 299792458 # m / s
data_prefix = os.path.dirname(os.path.abspath(__file__)) + "/"
try:
ant_pos = dict(pickle.load(open(data_prefix + "ant_dict.pk", "rb")))
def base... | normal | {
"blob_id": "c455263b82c04fe2c5cc1e614f10a9962795f87e",
"index": 4349,
"step-1": "<mask token>\n",
"step-2": "<mask token>\ntry:\n ant_pos = dict(pickle.load(open(data_prefix + 'ant_dict.pk', 'rb')))\n\n def baselength(ant_ID1, ant_ID2):\n \"\"\"\n (Convenience function)\n Return the... | [
0,
1,
2,
3,
4
] |
# python2.7
#formats for oracle lists
import pyperclip
text = str(pyperclip.paste()).strip()
lines = text.split('\n')
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[... | normal | {
"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
] |
class User():
def __init__(self, first, last, gender, age):
self.first_name = first
self.last_name = last
self.gender = gender
self.age = age
self.full_name = self.first_name + " " + self.last_name
def describe_user(self):
print("The name of the user is " + self.... | normal | {
"blob_id": "93b712c60ba4bfa81d967ec59035b6fb7793ce87",
"index": 1974,
"step-1": "class User:\n <mask token>\n <mask token>\n\n def greet_user(self):\n if self.gender.lower() == 'male':\n print('Greetings, Mr. ' + self.last_name.title() + '!')\n elif self.gender.lower() == 'fema... | [
2,
3,
4,
6,
7
] |
from django.http import HttpResponsePermanentRedirect
from django.urls import is_valid_path
from django.utils.deprecation import MiddlewareMixin
from django.utils.http import escape_leading_slashes
class AppendSlashMiddleware(MiddlewareMixin):
response_redirect_class = HttpResponsePermanentRedirect
def proc... | normal | {
"blob_id": "ec70fb9119b430dcd36549f2fac8e5e0a0e1bb00",
"index": 2696,
"step-1": "<mask token>\n\n\nclass AppendSlashMiddleware(MiddlewareMixin):\n <mask token>\n\n def process_request(self, request):\n redirect_url = ''\n if self.should_redirect_with_slash(request):\n path = self.... | [
4,
5,
6,
7,
8
] |
# Original code from http://www.pythonforbeginners.com/code-snippets-source-code/port-scanner-in-python
#!/usr/bin/env python
# modules
import threading
import socket
import subprocess
import sys
import time
import scapy
from threading import Thread, Lock
from queue import Queue
from datetime import datetime
from log... | normal | {
"blob_id": "7e0eefb1d913787f675adc2ba0dccb16007464e4",
"index": 1764,
"step-1": "<mask token>\n\n\ndef checkhost(ip):\n conf.verb = 0\n try:\n ping = sr1(IP(dst=ip) / ICMP())\n print('\\n[*] Target is up, beginning scan...')\n except Exception:\n print(\"\\n[!] Couldn't resolve tar... | [
2,
3,
4,
5,
6
] |
for name in ["Madan", "Mohan", "Reddy", "Govindu"]:
print("My name includes "+name)
# Tables
# for i in range(1, 11):
# for j in range(1, 11):
# print("{0} * {1} = {2}".format(i,j, i*j))
# print("\n")
for i in range(1, 3):
for j in range(4, 7):
if j==5:
break
print... | normal | {
"blob_id": "c0376d94b34ea43e562e68cd65d4e5d2c5b04fb3",
"index": 6657,
"step-1": "<mask token>\n",
"step-2": "for name in ['Madan', 'Mohan', 'Reddy', 'Govindu']:\n print('My name includes ' + name)\nfor i in range(1, 3):\n for j in range(4, 7):\n if j == 5:\n break\n print(j)\n",... | [
0,
1,
2
] |
import numpy as np
import cv2
from pixcel import *
from scipy import ndimage
import math
from socket import *
from config import *
from time import time
def find_bounding_boxes(fimage, lables):
# initialize boxes array
boxes = []
for lable in lables:
# iterate all lables
# filter out i... | normal | {
"blob_id": "f3895f38be29fb07903237d8846cc9d657b39ea9",
"index": 6495,
"step-1": "<mask token>\n\n\nclass RBox:\n\n def __init__(self):\n self.x = 0\n self.y = 0\n self.w = 0\n self.h = 0\n\n @staticmethod\n def fromClassicalBoundingBox(box):\n rbox = RBox()\n r... | [
23,
26,
28,
37,
41
] |
from math import sqrt
from Engine.regulators.PID import PID
from Engine.regulators.regulator_base_class import RegulatorBaseClass
from Engine.robot import Robot, MAX_LINEAR_ACCELERATION, MAX_ANGULAR_SPEED
from Util import Pose
from Util.geometry import clamp, normalize
from Util.pose import Position
from config.config... | normal | {
"blob_id": "98bf0a332a6753e500b24bed2af16fe4a1cb9568",
"index": 1560,
"step-1": "<mask token>\n\n\nclass RealVelocityController(RegulatorBaseClass):\n settings = {'kp': 10, 'ki': 0, 'kd': 1}\n v_d = 4\n emergency_break_constant = 0.4\n emergency_break_safety_factor = 1\n\n def __init__(self):\n ... | [
10,
11,
13,
14,
15
] |
#-*- coding: utf-8 -*-
import django
if django.get_version() <= '1.3.1':
import apps.settings as settings
from django.core.management import setup_environ
setup_environ(settings)
elif django.get_version() >= '1.7.0':
import os
os.environ.setdefault("DJANGO_SETTINGS_MODULE", "apps.settings")
... | normal | {
"blob_id": "8894b73829978cec29aab6ee8bf09700da7fb59f",
"index": 5659,
"step-1": "#-*- coding: utf-8 -*-\n\nimport django\n\nif django.get_version() <= '1.3.1':\n import apps.settings as settings\n from django.core.management import setup_environ\n setup_environ(settings)\nelif django.get_version() >= '... | [
0
] |
import requests
import datetime
import collections
import csv
import sys
import os
import os.path
History = collections.namedtuple('History', ['open', 'high', 'low', 'close', 'volume', 'adjustment'])
def history(symbol, since, until):
response = requests.get('http://ichart.finance.yahoo.com/table.csv?s=%s&d=%d&e... | normal | {
"blob_id": "1cccb37a7195b1555513a32ef33b35b0edcd5eb1",
"index": 5363,
"step-1": "import requests\nimport datetime\nimport collections\nimport csv\nimport sys\nimport os\nimport os.path\n\n\nHistory = collections.namedtuple('History', ['open', 'high', 'low', 'close', 'volume', 'adjustment'])\n\ndef history(symbo... | [
0
] |
#!/usr/bin/python
# -*- coding: utf-8 -*-
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable ... | normal | {
"blob_id": "8dab85622a29bc40f8ad6150f9e6f284853aeaf8",
"index": 4235,
"step-1": "#!/usr/bin/python\n# -*- coding: utf-8 -*-\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\"); you may\n# not use this file except in compliance with the License. You may obtain\n# a copy of the License... | [
0
] |
import Ploneboard
import PloneboardForum
import PloneboardConversation
import PloneboardComment
| normal | {
"blob_id": "abdf5aee77ee879c50d0e605d5fd95e28a7ef7aa",
"index": 5631,
"step-1": "<mask token>\n",
"step-2": "import Ploneboard\nimport PloneboardForum\nimport PloneboardConversation\nimport PloneboardComment\n",
"step-3": null,
"step-4": null,
"step-5": null,
"step-ids": [
0,
1
]
} | [
0,
1
] |
# -*- coding: utf-8 -*-
# Generated by Django 1.11.2 on 2017-07-20 08:05
from __future__ import unicode_literals
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
import django.utils.timezone
class Migration(migrations.Migration):
initial = True
depe... | normal | {
"blob_id": "e68d872232b3eab4c33cbbe4376be7dd788888e2",
"index": 1242,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass Migration(migrations.Migration):\n <mask token>\n <mask token>\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass Migration(migrations.Migration):\n initial = T... | [
0,
1,
2,
3,
4
] |
import sys
import time
import pymorphy2
import pyglet
import pyttsx3
import threading
import warnings
import pytils
warnings.filterwarnings("ignore")
""" Количество раундов, вдохов в раунде, задержка дыхания на вдохе"""
rounds, breaths, hold = 4, 30, 13
def play_wav(src):
wav = pyglet.media.load(sys.path[0] + '... | normal | {
"blob_id": "a98be930058269a6adbc9a28d1c0ad5d9abba136",
"index": 35,
"step-1": "<mask token>\n\n\ndef nums(phrase, morph=pymorphy2.MorphAnalyzer()):\n \"\"\" согласование существительных с числительными, стоящими перед ними \"\"\"\n phrase = phrase.replace(' ', ' ').replace(',', ' ,')\n numeral = ''\n ... | [
10,
11,
13,
17,
18
] |
from __future__ import division
from pyoperators import pcg
from pysimulators import profile
from qubic import (
create_random_pointings, equ2gal, QubicAcquisition, PlanckAcquisition,
QubicPlanckAcquisition, QubicInstrument)
from qubic.data import PATH
from qubic.io import read_map
import healpy as hp
import ma... | normal | {
"blob_id": "bcb028bd25732e17ed1478e122ac3b2d1abf2520",
"index": 7931,
"step-1": "<mask token>\n\n\ndef statstr(vec):\n m = np.mean(vec)\n s = np.std(vec)\n return '{0:.4f} +/- {1:.4f}'.format(m, s)\n\n\ndef plotinst(inst, shift=0.12):\n for xyc, quad in zip(inst.detector.center, inst.detector.quadra... | [
4,
5,
6,
7,
8
] |
"""The prediction classes. Instances of the class are returned by
the recommender.
"""
class RelationshipPrediction(object):
"""The prediction of the predicted_relationship appearing between
the given subject-object pair.
@type subject: the domain-specific subject
@ivar subject: the subject
... | normal | {
"blob_id": "c3de9e6129bcafd863cd330ac281345fb563cc8c",
"index": 6259,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass RelationshipPrediction(object):\n <mask token>\n <mask token>\n\n def __unicode__(self):\n return u'%s <- %s: %f, %s' % (self.subject, self.object_, self.\n ... | [
0,
2,
3,
4,
6
] |
import os
import json
def load_json_if_exists(path):
if not os.path.isfile(path):
return {}
with open(path) as f:
return json.load(f)
def json_dump(obj, file_path):
with open(file_path, 'w') as f:
json.dump(obj, f)
def get_folder_paths(directory):
return [os.path.join(directo... | normal | {
"blob_id": "3788888a17e2598e781803f89cd63ac9c3219f59",
"index": 4341,
"step-1": "<mask token>\n\n\ndef json_dump(obj, file_path):\n with open(file_path, 'w') as f:\n json.dump(obj, f)\n\n\n<mask token>\n\n\ndef get_repo_path(file_path):\n if os.path.isfile(file_path):\n folder_path = os.path... | [
8,
9,
12,
13,
14
] |
#!/usr/bin/python
# -*- coding: utf-8 -*-
import csv
from collections import defaultdict
from docopt import docopt
__doc__ = """{f}
Usage:
{f} <used_file>
{f} -h | --help
Options:
-h --help Show this screen and exit.
""".format(f=__file__)
args = docopt(__doc__)
used_file = args['<used_file>']
... | normal | {
"blob_id": "40b6d62f1e360c0df19b7e98fcb67dbd578e709f",
"index": 736,
"step-1": "#!/usr/bin/python\n# -*- coding: utf-8 -*-\nimport csv\nfrom collections import defaultdict\nfrom docopt import docopt\n\n__doc__ = \"\"\"{f}\n\nUsage:\n {f} <used_file>\n {f} -h | --help\n\nOptions:\n -h --help Sh... | [
0
] |
from whylogs.core.annotation_profiling import Rectangle
def test_rect():
rect = Rectangle([[0, 0], [10, 10]], confidence=0.8, labels=[{"name": "test"}])
test = Rectangle([[0, 0], [5, 5]])
assert rect.area == 100
assert rect.intersection(test) == 25
assert rect.iou(test) == 25 / 100.0
def test_r... | normal | {
"blob_id": "b65d25198d55ab4a859b9718b7b225fa92c13a2b",
"index": 1202,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef test_rect():\n rect = Rectangle([[0, 0], [10, 10]], confidence=0.8, labels=[{'name':\n 'test'}])\n test = Rectangle([[0, 0], [5, 5]])\n assert rect.area == 100\n ... | [
0,
1,
2,
3,
4
] |
import hashlib
from django.conf import settings
from django.core import mail
from django.core.mail import EmailMultiAlternatives
from django.template.loader import render_to_string
from django.utils.crypto import get_random_string
def hexdigest_sha256(*args):
r = hashlib.sha256()
for arg in args:
r.... | normal | {
"blob_id": "a35004e2b306ba1a8649ce66a1612f63a2b6bf39",
"index": 2673,
"step-1": "<mask token>\n\n\ndef hexdigest_sha256(*args):\n r = hashlib.sha256()\n for arg in args:\n r.update(str(arg).encode('utf-8'))\n return r.hexdigest()\n\n\n<mask token>\n\n\ndef notify_by_email(template, data, subject... | [
2,
3,
4,
5,
6
] |
import os
os.environ.setdefault('DJANGO_SETTINGS_MODULE','mkrandom.settings')
import django
django.setup()
from main.models import Character, Vehicle, Tire, Glider
char_names = [
'Mario',
'Luigi',
'Peach',
'Daisy',
'Rosalina',
'Mario Tanooki',
'Peach cat',
'Yoshi',
'Yoshi (LBlue)',
... | normal | {
"blob_id": "dbda5df7dff3f8acc320ffe7b9c7c279ebed2cc2",
"index": 7108,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nos.environ.setdefault('DJANGO_SETTINGS_MODULE', 'mkrandom.settings')\n<mask token>\ndjango.setup()\n<mask token>\nfor char in char_names:\n index = x - y + 1\n name = char_names[x]\... | [
0,
1,
2,
3,
4
] |
'''
REFERENCE a table with a FOREIGN KEY
In your database, you want the professors table to reference the universities table. You can do that by specifying a column in professors table that references a column in the universities table.
As just shown in the video, the syntax for that looks like this:
ALTER TABLE a
A... | normal | {
"blob_id": "deaa458e51a7a53dd954d772f9e3b1734508cf28",
"index": 6770,
"step-1": "'''\nREFERENCE a table with a FOREIGN KEY\n\nIn your database, you want the professors table to reference the universities table. You can do that by specifying a column in professors table that references a column in the universiti... | [
0
] |
import tensorflow as tf
import numpy as np
import math
import sys
import os
import numpy as np
BASE_DIR = os.path.dirname(os.path.abspath(__file__))
sys.path.append(BASE_DIR)
sys.path.append(os.path.join(BASE_DIR, '../utils'))
import tf_util
# from transform_nets import input_transform_net, feature_transform_net
import... | normal | {
"blob_id": "e4a0f26afe8c78e4abbd85834c96ed5ba84e1f0b",
"index": 3894,
"step-1": "<mask token>\n\n\nclass Network:\n\n def placeholder_inputs(self, batch_size, num_point):\n source_pointclouds_pl = tf.placeholder(tf.float32, shape=(\n batch_size, num_point, 3))\n return source_pointcl... | [
4,
6,
7,
8,
9
] |
import random
from PyQt4.QtGui import (
QWidget, QHBoxLayout, QPushButton, QMainWindow, QIcon, QAction, QShortcut,
QKeySequence, QFileDialog, QMessageBox)
from PyQt4 import QtCore
class Controls(QWidget):
def __init__(self, parent):
super(Controls, self).__init__(parent)
... | normal | {
"blob_id": "4e86dd74374297c3b0ce8fea93910003dac7d5d7",
"index": 8742,
"step-1": "<mask token>\n\n\nclass MainWindow(QMainWindow):\n playSong = QtCore.pyqtSignal(str)\n\n def __init__(self, music_dir):\n super(MainWindow, self).__init__()\n self.__music_dir = music_dir\n self.resize(40... | [
4,
5,
6,
7,
8
] |
from typing import Any
from electionguard.ballot import CiphertextAcceptedBallot
from electionguard.decryption import compute_decryption_share_for_ballot
from electionguard.election import CiphertextElectionContext
from electionguard.scheduler import Scheduler
from electionguard.serializable import write_json_object
fr... | normal | {
"blob_id": "0544c67cb14549e32b6ff8ea3215c6c65c8416ec",
"index": 5542,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\n@router.post('/decrypt-shares', tags=[TALLY])\ndef decrypt_ballot_shares(request: DecryptBallotSharesRequest=Body(...),\n scheduler: Scheduler=Depends(get_scheduler)) ->Any:\n \... | [
0,
1,
2,
3,
4
] |
import socket
from time import time, sleep
from threading import Thread
# Define drone
class dm107s():
# Default control value
def __init__(self):
# 4 values for flight
self.roll = 128
self.pitch = 128
self.throttle = 128
self.yaw = 128
# 0 - normal mode, 2 - eme... | normal | {
"blob_id": "ee8e117db0348aa37d6aa37e6c06255101f1cff4",
"index": 2752,
"step-1": "<mask token>\n\n\nclass dm107s:\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n def incremt(self, rl, pt, th, yw):\n self._value_to_change ... | [
23,
29,
33,
39,
43
] |
from django.views.generic import ListView
class ExperimentList(ListView):
pass
| normal | {
"blob_id": "10990282c8aa0b9b26a69e451132ff37257acbc6",
"index": 3331,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass ExperimentList(ListView):\n pass\n",
"step-3": "from django.views.generic import ListView\n\n\nclass ExperimentList(ListView):\n pass\n",
"step-4": null,
"step-5": n... | [
0,
1,
2
] |
# Copyright 2020 Huawei Technologies Co., Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to... | normal | {
"blob_id": "eb50f50e3c072c2f6e74ff9ef8c2fa2eef782aae",
"index": 6718,
"step-1": "<mask token>\n\n\ndef adj_to_bias(adj):\n \"\"\"Add self loop to adj and make sure only one hop neighbors are engaged in computing\"\"\"\n num_graphs = adj.shape[0]\n adj_temp = np.empty(adj.shape)\n for i in range(num_... | [
2,
3,
4,
5,
6
] |
from django import forms
from .models import GetInTouch
class GetInTouchForm(forms.ModelForm):
class Meta:
model = GetInTouch
fields = '__all__'
| normal | {
"blob_id": "c8dc143c09aa7f677167a4942ae1c4a0fbf75128",
"index": 3219,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass GetInTouchForm(forms.ModelForm):\n\n\n class Meta:\n model = GetInTouch\n fields = '__all__'\n",
"step-3": "from django import forms\nfrom .models import GetI... | [
0,
1,
2
] |
import kubernetes.client
from kubernetes.client.rest import ApiException
from pprint import pprint
from kubeops_api.models.cluster import Cluster
class ClusterMonitor():
def __init__(self,cluster):
self.cluster = cluster
self.token = self.cluster.get_cluster_token()
self.cluster.change_to(... | normal | {
"blob_id": "da41f26489c477e0df9735606457bd4ee4e5a396",
"index": 4465,
"step-1": "<mask token>\n\n\nclass ClusterMonitor:\n <mask token>\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass ClusterMonitor:\n\n def __init__(self, cluster):\n self.cluster = cluster\n self.token = self.clu... | [
1,
2,
3,
4,
5
] |
#!/usr/bin/env python3
import os
import subprocess
import logging
class color:
PURPLE = '\033[95m'
CYAN = '\033[96m'
DARKCYAN = '\033[36m'
BLUE = '\033[94m'
GREEN = '\033[92m'
YELLOW = '\033[93m'
RED = '\033[91m'
BOLD = '\033[1m'
UNDERLINE = '\033[4m'
END = '\033[0m'
# Recov... | normal | {
"blob_id": "2c834c734de8f8740176bb5dbb6b123c49924718",
"index": 1697,
"step-1": "<mask token>\n\n\nclass color:\n PURPLE = '\\x1b[95m'\n CYAN = '\\x1b[96m'\n DARKCYAN = '\\x1b[36m'\n BLUE = '\\x1b[94m'\n GREEN = '\\x1b[92m'\n YELLOW = '\\x1b[93m'\n RED = '\\x1b[91m'\n BOLD = '\\x1b[1m'\n... | [
5,
7,
9,
10,
12
] |
#!/usr/bin/env python
# -*- coding: utf-8 -*
#Perso
from signalManipulation import *
from manipulateData import *
#Module
import pickle
from sklearn import svm, grid_search
from sklearn.linear_model import ElasticNetCV, ElasticNet, RidgeClassifier
from sklearn.metrics import confusion_matrix, f1_score, accuracy_score... | normal | {
"blob_id": "d8e8ecbf77828e875082abf8dcbfbc2c29564e20",
"index": 4892,
"step-1": "#!/usr/bin/env python\n# -*- coding: utf-8 -*\n#Perso\nfrom signalManipulation import *\nfrom manipulateData import *\n\n#Module\nimport pickle\n\nfrom sklearn import svm, grid_search\nfrom sklearn.linear_model import ElasticNetCV,... | [
0
] |
# -*- coding: utf-8 -*-
"""
Created on Mon May 27 17:38:50 2019
@author: User
"""
import numpy as np
import pandas as pd
dataset = pd.read_csv('University_data.csv')
print(dataset.info())
features = dataset.iloc[:, :-1].values
labels = dataset.iloc[:, -1:].values
from sklearn.preprocessing import LabelEncoder
la... | normal | {
"blob_id": "94e8f0532da76c803b23fe2217b07dc8cf285710",
"index": 950,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(dataset.info())\n<mask token>\nregressor.fit(features, labels)\n<mask token>\nregressor.predict(x)\n",
"step-3": "<mask token>\ndataset = pd.read_csv('University_data.csv')\nprint(... | [
0,
1,
2,
3,
4
] |
#proper clarification for requirement is required
import boto3
s3_resource = boto3.resource('s3')
s3_resource.create_bucket(Bucket=YOUR_BUCKET_NAME, CreateBucketConfiguration={'LocationConstraint': 'eu-west-1'})
s3_resource.Bucket(first_bucket_name).upload_file(Filename=first_file_name, Key=first_file_name)
s3_resource... | normal | {
"blob_id": "44097da54a0bb03ac14196712111a1489a956689",
"index": 5387,
"step-1": "<mask token>\n",
"step-2": "<mask token>\ns3_resource.create_bucket(Bucket=YOUR_BUCKET_NAME,\n CreateBucketConfiguration={'LocationConstraint': 'eu-west-1'})\ns3_resource.Bucket(first_bucket_name).upload_file(Filename=first_fi... | [
0,
1,
2,
3,
4
] |
from flask import Flask
from threading import Timer
from crypto_crawler.const import BITCOIN_CRAWLING_PERIOD_SEC, COIN_MARKET_CAP_URL
from crypto_crawler.crawler import get_web_content, filter_invalid_records
app = Flask(__name__)
crawl_enabled = True
def crawl_bitcoin_price():
print("start crawling!")
bitc... | normal | {
"blob_id": "ebbc6f9115e6b4ca7d1050a59cf175d123b6f3aa",
"index": 4871,
"step-1": "<mask token>\n\n\ndef crawl_bitcoin_price():\n print('start crawling!')\n bitcoin_prices = get_web_content(COIN_MARKET_CAP_URL)\n bitcoin_prices = filter_invalid_records(bitcoin_prices)\n if crawl_enabled:\n Time... | [
3,
4,
5,
6,
8
] |
from flask import Flask, render_template, request, redirect, flash, session
from mysqlconnection import connectToMySQL
from flask_bcrypt import Bcrypt
import re
app = Flask(__name__)
bcrypt = Bcrypt(app)
app.secret_key = "something secret10"
DATABASE = "exam_quote_dash"
EMAIL_REGEX = re.compile(r'^[a-zA-Z0-9.+_-]+@[a-... | normal | {
"blob_id": "e732fa0e2b377a87b8b088303b277cc08cb695b3",
"index": 5279,
"step-1": "<mask token>\n\n\n@app.route('/')\ndef signin():\n return render_template('index.html')\n\n\n<mask token>\n\n\n@app.route('/login', methods=['POST'])\ndef login():\n mysql = connectToMySQL(DATABASE)\n query = 'SELECT * FRO... | [
9,
10,
12,
13,
15
] |
from classifier import classifier
from get_input_args import get_input_args
from os import listdir
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
# */AIPND-revision/intropyproject-classify-pet-images/calculates_results_stats_hints.py
#
# PRO... | normal | {
"blob_id": "f96c9753f3cbb0e554f9f05591e23943009c8955",
"index": 2371,
"step-1": "<mask token>\n\n\ndef calculates_results_stats(results_dic):\n \"\"\"\n Calculates statistics of the results of the program run using classifier's model \n architecture to classifying pet images. Then puts the results stat... | [
3,
4,
7,
8,
9
] |
# Should print 516
def final_frequency():
frequency = 0
with open('input') as f:
for line in f:
frequency += int(line)
return frequency
print(final_frequency())
| normal | {
"blob_id": "4d68b663933070cb287689b70d6ded07958cef22",
"index": 3047,
"step-1": "<mask token>\n",
"step-2": "def final_frequency():\n frequency = 0\n with open('input') as f:\n for line in f:\n frequency += int(line)\n return frequency\n\n\n<mask token>\n",
"step-3": "def final_fr... | [
0,
1,
2,
3
] |
#!/usr/bin/python
# coding=utf-8
import re
str1 = 'http://www.chinapesticide.org.cn/myquery/querydetail?pdno='
str2 = '&pdrgno='
f = open('aaa.txt', 'r')
source = f.read()
rr = re.compile(r'open[(\'](.*)[\']')
s=rr.findall(source)
for line in s:
temps = line.split(',')
a = temps[0]
b = temps[1]
print ... | normal | {
"blob_id": "387c48fcf00480a820fb407f5bad1d9f41b28e7a",
"index": 9160,
"step-1": "#!/usr/bin/python\n# coding=utf-8\n\nimport re\n\nstr1 = 'http://www.chinapesticide.org.cn/myquery/querydetail?pdno='\nstr2 = '&pdrgno='\nf = open('aaa.txt', 'r')\nsource = f.read()\nrr = re.compile(r'open[(\\'](.*)[\\']')\ns=rr.fi... | [
0
] |
#!/usr/bin/python
# -*- coding: utf-8 -*-
import pandas as pd
import numpy as np
import datetime
import time
from sys import exit
from matplotlib import colors, pyplot as plt
from functools import reduce
import matplotlib.cm as cm
import seaborn as sns
from astropy.io import ascii, fits
from astropy.wcs import wcs
fr... | normal | {
"blob_id": "736fee6f9a46b8568b2dd217b81d54d689306630",
"index": 970,
"step-1": "<mask token>\n\n\nclass bcolors:\n HEADER = '\\x1b[95m'\n OKBLUE = '\\x1b[94m'\n OKGREEN = '\\x1b[92m'\n WARNING = '\\x1b[93m'\n FAIL = '\\x1b[91m'\n ENDC = '\\x1b[0m'\n BOLD = '\\x1b[1m'\n UNDERLINE = '\\x1b... | [
3,
4,
5,
6,
7
] |
import scipy.io as sio
import glob
import numpy as np
import matplotlib.pyplot as plt
import math
import os,sys
BIN = os.path.expanduser("../tools/")
sys.path.append(BIN)
import myfilemanager as mfm
import mystyle as ms
import propsort as ps
from functools import partial
from scipy.ndimage import gaussian_filter1d
... | normal | {
"blob_id": "a4f56b1f93f62d80707367eaba0bba7ef4b2caca",
"index": 4749,
"step-1": "import scipy.io as sio\nimport glob\nimport numpy as np\nimport matplotlib.pyplot as plt\nimport math\n\nimport os,sys\nBIN = os.path.expanduser(\"../tools/\")\nsys.path.append(BIN)\nimport myfilemanager as mfm\nimport mystyle as m... | [
0
] |
# Generated by Django 3.1.6 on 2021-02-05 00:27
import django.core.validators
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('main_app', '0001_initial'),
]
operations = [
migrations.AlterField(
model_name='tea',
... | normal | {
"blob_id": "db920f4aadfb53bb26c5ba1fb182f12b95e14a2f",
"index": 7899,
"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 = [('main_app', ... | [
0,
1,
2,
3,
4
] |
import numpy as np
from sklearn.decomposition import PCA
from sklearn.discriminant_analysis import LinearDiscriminantAnalysis
from preprocessing import *
from utils import *
def find_optimal_param(lda, x_train, y_train):
probs_train = lda.predict_proba(x_train)[:, 1]
y_train = [x for _,x in sorted(zip(prob... | normal | {
"blob_id": "784b51c05dc7b5e70016634e2664c9ec25b8a65a",
"index": 6506,
"step-1": "<mask token>\n\n\nclass FDA_node(object):\n <mask token>\n\n def grow(self):\n self.right = FDA_node()\n self.left = FDA_node()\n\n def find_optimal_param(self, x, y):\n self.m = self.method.find_optim... | [
5,
6,
9,
11,
12
] |
from datetime import datetime
from django.core import mail
from entity_event import context_loader
from entity_emailer.models import Email
from entity_emailer.utils import get_medium, get_from_email_address, get_subscribed_email_addresses, \
create_email_message, extract_email_subject_from_html_content
class E... | normal | {
"blob_id": "d1dc807ecc92d9108db2c9bd00ee9781e174a1aa",
"index": 558,
"step-1": "<mask token>\n\n\nclass EntityEmailerInterface(object):\n <mask token>\n <mask token>\n\n @staticmethod\n def convert_events_to_emails():\n \"\"\"\n Converts unseen events to emails and marks them as seen.\... | [
2,
3,
4,
5,
6
] |
class Person:
def __init__(self, fname, lname):
self.fname = fname
self.lname = lname
def GetName(self):
return (self.fname + ' ' + self.lname)
| normal | {
"blob_id": "ff358136bc96fa7f3eb41d019ddfd10fc4db8f0d",
"index": 5558,
"step-1": "<mask token>\n",
"step-2": "class Person:\n <mask token>\n <mask token>\n",
"step-3": "class Person:\n <mask token>\n\n def GetName(self):\n return self.fname + ' ' + self.lname\n",
"step-4": "class Person:... | [
0,
1,
2,
3,
4
] |
'''a,b = input().split()
a, b = [int(a),int(b)]
List = set()
ArrayA = list(map(int, input().split()))
temp = 1
ArrayB = list(map(int, input().split()))
for i in range(max(ArrayA), min(ArrayB)+1):
for j in ArrayA:
if i%j is 1:
temp += 1
if temp is len(ArrayA):
List.add(i)
temp=1
... | normal | {
"blob_id": "73d02615863826d77d65fbf0314dc71acb97ef28",
"index": 4035,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor _ in range(numberOfObs):\n obs = input().split()\n obstacle.append((int(obs[0]), int(obs[1])))\n<mask token>\nwhile 1 <= q <= board and 1 <= r <= board:\n if (q, r) in obstac... | [
0,
1,
2,
3,
4
] |
from bs4 import BeautifulSoup
from bs4 import BeautifulSoup
import requests,pymysql,random,time
import http.cookiejar
from multiprocessing import Pool,Lock
def get_proxies_ip():
db = pymysql.connect("localhost","root","xxx","xxx",charset='utf8')
cursor = db.cursor()
sql = "SELECT * FROM proxies_info;"
... | normal | {
"blob_id": "d49aa03cd6b8ba94d68a1bc1e064f77fded65000",
"index": 8870,
"step-1": "<mask token>\n\n\ndef get_headers():\n USER_AGENTS = [\n 'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1; AcooBrowser; .NET CLR 1.1.4322; .NET CLR 2.0.50727)'\n ,\n 'Mozilla/4.0 (compatible; MSIE 7.0... | [
3,
4,
5,
6,
7
] |
# -*- coding: utf-8 -*-
import serial
import time
import argparse
def write_command(serial, comm, verbose = False, dt = None):
""" Encodes a command and sends it over the serial port """
if verbose and comm != "":
if dt is None:
print("{} \t\t-> {}".format(comm, serial.port... | normal | {
"blob_id": "3ffcab4b36c6ca05f1e667c628ebb873ebdc0d25",
"index": 7866,
"step-1": "<mask token>\n\n\ndef write_command(serial, comm, verbose=False, dt=None):\n \"\"\" Encodes a command and sends it over the serial port \"\"\"\n if verbose and comm != '':\n if dt is None:\n print('{} \\t\\t... | [
4,
6,
7,
8,
9
] |
import pyodbc
from configuration.config import Configuration
from models.entities import Entities
from models.columns import Columns
from models.relationships import Relationship
from models.synonyms import Synonyms
from spacy.lemmatizer import Lemmatizer
from spacy.lookups import Lookups
class DBModel(object):
... | normal | {
"blob_id": "76ebab93441676f9f00b2c2d63435e72c2d5d1ba",
"index": 9936,
"step-1": "<mask token>\n\n\nclass DBModel(object):\n <mask token>\n <mask token>\n\n def get_matcher(self, matcher, nlp):\n for entity in self.entities:\n matcher.add(entity.name.upper() + '_TABLE', None, nlp(entit... | [
2,
3,
4,
6,
7
] |
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