index int64 0 1,000k | blob_id stringlengths 40 40 | code stringlengths 7 10.4M |
|---|---|---|
999,800 | ef9648d46abe5293c5f28d35cdab59f2cc91ec69 | """
2) Crie um classe Agenda que pode armazenar 10 pessoas e seja capas de
realizar as seguintes operações:
. void armazenaPessoa(String nome, int idade, float altura);
. void removePessoa(String nome);
. int buscaPessoa(String nome); // informa em que posição da agenda está a pessoa
. void imprimeAge... |
999,801 | e1118acddb52844d9a6464bf136a349228abe485 | from abstract_objects import BonusObject
class ShrinkBonus(BonusObject):
def __init__(self, x, y):
super().__init__(x, y)
def activate(self, game, paddle_flag=0):
if paddle_flag == 1:
game.paddle1.shrink()
elif paddle_flag == 2:
game.paddle2.shrink()
el... |
999,802 | 85afae55a2c026c24e3140057379a0a272370bc1 | # stack abstract data type
#
# 5/9/2021
# @author Jack Hangen
#
# follows last in first out (LIFO)s
class stack:
datatype = "stack"
def __init__ (self):
self.stackWorking = []
self.top = -1
# adds a new item to the top of the stack. It needs the item and returns nothing.
def push(sel... |
999,803 | 01a40f126b9a84e550daee97d9e9b5511c531754 | from rest_framework import permissions
from rest_framework.views import APIView
from .models import Contact
from django.core.mail import send_mail
from rest_framework.response import Response
from .serializers import ContactSerializer
class ContactCreateView(APIView):
permission_classes = (permissions.AllowAny,)
... |
999,804 | 02c903d86fe147a3cdb531da347037532127fa53 | '''
BobKaehms_1_4_7: Change pixels in an image.
This example first changes the background,
then mirrors in the X-axis, then the Y-axis
This example uses matplotlib to manipulate the image at the pixel level.
The next iteration will use the PIL Image library
'''
from PIL import Image
import matplotlib.pypl... |
999,805 | a504456348c575fb7ba16bd5d962f255d6f3d962 | import requests
import re
'''
利用正则来爬去猫眼电影
1. url: http://maoyan.com/board
2. 把电影信息尽可能多的拿下来
分析
1. 一个影片的内容是以dd开是的单元
2. 在单元内存在一部电影的所有信息
思路：
1. 利用re把dd内容都给找到
2. 对应找到的每一个dd，用re挨个查找需要的信息
方法就是三步走：
1. 把页面down下来
2. 提取出dd单元为单位的内容
3. 对每一个dd，进行单独信息提取
'''
# 1 下载页面内容
headers = {
"User-Agent": "Mozilla/5.0 (Windows NT 6.1; WO... |
999,806 | b47f52fad0bd88d9b45b47ba61e2e952046400d5 | print("* "*5)
for i in range(5):
print(" "*4,end="")
print("*")
print("* "*3)
"""
* * * * *
*
*
*
*
*
* * *
"""
|
999,807 | 301b6107ba32904de00396c33d88a7fb33419011 | MIN_LENGTH = 10
password = input("Enter Password: ")
if len(password) >= MIN_LENGTH:
print(len(password) * "*")
else:
print("password not long enough")
|
999,808 | ddcd0c681c55cfb58adf43a72030a780d5e02bf7 |
from sklearn import cross_validation
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.feature_selection import SelectPercentile, f_classif
import text
features_train , features_test, labels_train, labels_test = cross_validation.train_test_split(text.preload(), text.get_label(), test_size =... |
999,809 | 0c61efb7f476ab567d4670dc0eb017e64c5d5f8c | """
Question was "Given a pattern and a string input - find if the string follows the same pattern and return 0 or 1.
Examples:
1) Pattern : "abba", input: "redbluebluered" should return 1.
2) Pattern: "aaaa", input: "asdasdasdasd" should return 1.
3) Pattern: "aabb", input: "xyzabcxzyabc" should return... |
999,810 | 951cc098e31ad03329157eb74b7c54d3079c7979 | # Question 8
# Level 2
#
# Question:
# Write a program that accepts a comma separated sequence of words as input and prints the words in a
# comma-separated sequence after sorting them alphabetically.
#
# Suppose the following input is supplied to the program:
# without,hello,bag,world
# Then, the output... |
999,811 | 6d4e4c16078b1c37b4cc9b5212cee79cf11e8bc4 | """
snapshot
========
This module implements the :class:`~pynbody.snapshot.SimSnap` class which manages and stores snapshot data.
It also implements the :class:`~pynbody.snapshot.SubSnap` class (and relatives) which
represent different views of an existing :class:`~pynbody.snapshot.SimSnap`.
"""
import copy
import ... |
999,812 | b3e2bb0ecdefa0b9e80ba426cf8ee8c0a04ae479 | from IntrinsicAnalysis.clustering.AC_model import ACModel
def analyse_paragraphs(paragraphs):
answer_pairs=[]
ac = ACModel(None, None)
results = ac.analyse_paragraphs(paragraphs)
indicis = results['suspicious_parts']
for index in range(len(paragraphs)):
answer_pairs.append((paragraphs[inde... |
999,813 | e653d1d6c38530e88698f957ab472df206a67e18 | from django.contrib import admin
from django.contrib.auth.admin import UserAdmin
from .models import news
from .models import workers
from .models import CartItem
from .models import Cars
admin.site.register(news)
admin.site.register(workers)
admin.site.register(CartItem)
admin.site.register(Cars) |
999,814 | 8b4452a4c917d5b0080016b26a31152453af0353 | #Uppgift 7
"""
Vad är siffersumman av 2¹⁰⁰⁰?
"""
#Svar: 1366
siffersumma = 0
num = 2**1000
for number in str(num):
siffersumma += int(number)
print(siffersumma)
|
999,815 | 4083774fd41faf063d96540e986b5df8f437591e | import os
import shutil
BASE_URL = "https://ru.wikipedia.org"
NESTED_LINK_REGEXP = "^/wiki/"
INDEX_PATH = "output/index.json"
TEXT_DOCUMENTS_PATH = "output/text_documents"
LEMMATIZED_TEXTS_PATH = "output/lemmatized_texts"
INVERTED_INDEX_PATH = "output/inverted_index.json"
TF_IDF_PATH = "output/td-idf-calculation.json... |
999,816 | 481fcbdb7cd7905992475cb7e9f4371dce5be643 | from django.contrib import admin
from .models import MusicInstrument
# Register your models here.
class MusicInstrumentAdmin(admin.ModelAdmin):
model = MusicInstrument
fieldsets= [
(None,{'fields':['MusicInstrument']})
]
admin.site.register(MusicInstrument,MusicInstrumentAdmin)
|
999,817 | 2314a48e6ce9acac943071b0b365380c6c164856 | from django.contrib import admin
from django.urls import path
from blog.views import TopView, WorkView, BlogView, WorkDetailView, BlogDetailView, AboutView, CategoryListView, CategoryDetailView
urlpatterns = [
path('', TopView.as_view(), name='top'),
path('bloglist/', BlogView.as_view(), name='bloglist'),
... |
999,818 | f1987ee193dfb3de661869a51d2ebeac0af4c926 | #! /usr/bin/env python
# -*- coding: utf-8 -*-
import sys
import re
import time
import logging
# semi-standard modules
try:
import pexpect
except ImportError:
sys.stderr.write("Module pexpect is not available. It can be downloaded from http://pexpect.sourceforge.net/\n")
raise
class telnet(object):
de... |
999,819 | b218b53e0a559cf414fd71809ef7756ab7b61636 | import os
import torch
from speech_command_classifier.trainer import Trainer
from speech_command_classifier.data import (SpeechCommandDataset,
collate_fn,
ALL_LABELS)
from speech_command_classifier.model import Model
TRAIN_META ... |
999,820 | 93147e70a60d3ff156698cca1013a074d22c323d | from sproc import sproc
import numpy as np
import time,sys
t0 = time.time()
verbose=False
ctr=0
if 'verbose' in sys.argv:
verbose=True
# This loop test 1D and 2D array conversions.
while 1:
# Test 1D float array
np_array = np.random.random(size=(1000000)).astype(np.float32)
# geneate C++ vector
... |
999,821 | 3e4e79c2689f92b4a7f1eccb1cf2cdebf62b0d98 | # -*- coding: utf-8 -*-
"""
Created on Thu Jun 13 17:04:32 2019
@author: corra
"""
import pandas as pd
import pyreadstat
import pymongo
from pymongo import MongoClient
client = MongoClient('localhost', 27017)
#--------- Import db from sav ---------------------------------------
df_WV2, meta_WV2 = pyrea... |
999,822 | 8f1a164cceb19ead679fd70d92dae4b639025f72 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed Sep 19 13:31:21 2018
@author: rgugg
"""
from numpy import ndarray
import numpy as np
import artacs.tools as tools
import logging
logger = logging.Logger(__name__)
# %%
class StepwiseRemover():
def __init__(self, fs=1000, freq=None, period_steps... |
999,823 | cac173dbf9d43b7c89577e8bf43395d51ca96e6d | /home/vikassharma/anaconda3/lib/python3.6/sre_constants.py |
999,824 | 81a33e4651aa9f0b37208621e9d05520a1c3c042 | import beeline
import os
from django.apps import AppConfig
class HelloConfig(AppConfig):
name = 'hello'
def ready(self):
beeline.init(
# Get this via https://ui.honeycomb.io/account after signing up for Honeycomb
writekey=os.environ.get("HONEYCOMB_API_KEY"),
api_ho... |
999,825 | df37dab0f38d4294224fbef310e0d7d423983a29 | import gpt_2_simple as gpt2
from torch.nn.functional import softmax
from transformers import BertForNextSentencePrediction,BertTokenizer
from qnautils import *
from fetch_google import *
import nltk
nltk.download('vader_lexicon')
from nltk.sentiment.vader import SentimentIntensityAnalyzer
sid = SentimentIntensityAnalyz... |
999,826 | 04e1064f7fbec8894e253bb3aa885da3f4900402 | from tensorflow.examples.tutorials.mnist import input_data
import numpy as np
from sklearn.preprocessing import MinMaxScaler
import tensorflow as tf
import matplotlib.pylab as plt
from tensorflow.contrib import rnn
from sklearn.model_selection import train_test_split
from pca import PCA
import json
import matplotlib.m... |
999,827 | 6a17417533bb06a4780f99bd370bcb0c65c72df5 | #!/usr/bin/python
# Cut tree at given %id using an alignment
import os, sys, time, glob
from matchmaker.shmm_shmm_lib import *
def kerf_already_completed(seed_id):
"""
Must be run from kerf results directory.
"""
# if .summary file does not exist, return False
kerf_summary_filename = "kerf.summary"
if no... |
999,828 | 348ef8df0e27fe0aed5f558d7650f3c75a14b71d | from libcity.config import ConfigParser
from libcity.data import get_dataset
from libcity.utils import get_executor, get_model, get_logger
from libcity.data.utils import generate_dataloader
# from geopy import distance
from math import radians, cos, sin, asin, sqrt
import numpy as np
import pickle
from collections impo... |
999,829 | 9842bd54bc0bbcb3c5b1a2c4a8f805d35556ab5e | #!/usr/bin/env python3
x=float(input('Enter the value of x:'))
n=term=num=1
result=1.0
while n<=100:
term*=x/n #这里term后的*是什么意思我还不清楚
result+=term
n+=1
if term<0.0001:
break
print('No of Times={} and Sum={}'.format(n,result))
|
999,830 | b5b469c162f653faeca55d5d5c1d03526362e914 | from typing import Any, TypeVar
from pathlib import Path
import numpy as np
import numpy.typing as npt
_SCT = TypeVar("_SCT", bound=np.generic, covariant=True)
class SubClass(np.ndarray[Any, np.dtype[_SCT]]): ...
i8: np.int64
A: npt.NDArray[np.float64]
B: SubClass[np.float64]
C: list[int]
def func(i: int, j: int,... |
999,831 | e231cae9783d4e62abaf0001f2a50371ae19bc0b | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on 19.01.2021
@author: Feliks Kiszkurno
"""
import joblib
import os
import settings
import slopestabilityML
import slopestabilitytools
def run_classification(test_training, test_prediction, test_results, clf, clf_name, *, hyperparameters=False, batch_name=... |
999,832 | 34b70abed22a57f1ef15e37f31387ae9f2e8eb81 | """Enables a more complex manipulation with Runs."""
from sacredboard.app.data import DataStorage
class RunFacade:
"""Enables a more complex manipulation with Runs."""
def __init__(self, datastorage: DataStorage):
self.datastorage = datastorage
def delete_run(self, run_id):
"""
D... |
999,833 | 54108f050a42741422285493e0b565160291a0e0 | import os
import pandas as pd
import numpy as np
import torch
from torch.utils.data.dataset import Dataset
class Dataset(object):
def __init__(self, path, timesteps):
self.data_path = path
self.timesteps = timesteps
self.train_data_raw = pd.read_excel(os.path.join(path, "hour_ahead/tr... |
999,834 | 75262e0f3b11457043f0420de489125aa5cfb9a9 |
import argparse
import signal
import sys
from src.bfs import BreadthFirstSearch
from src.digraph import Digraph
class SAP(object):
def __init__(self, graph):
self.graph = graph
def _ancestor(self, v, w, bfs_v, bfs_w):
ancestors = []
for x in range(self.graph.V): # TODO: iterate ove... |
999,835 | d87346980dfdc9be519036c951d13f74dd9586a3 |
import numpy as np
import pandas as pd
import os
import cv2
from sklearn.model_selection import train_test_split
# from keras.applications.vgg19 import VGG19
from keras.applications.resnet50 import ResNet50
from keras.optimizers import *
from keras.preprocessing.image import ImageDataGenerator
from keras.models import... |
999,836 | 81d51a290d075e1608ce303e0d0c3f8a6f5e6178 | from shock.handlers import InterSCity
from shock.core import Shock
import importlib
import sys
sck = Shock(InterSCity)
|
999,837 | c6506cd0b3de7f1f649dec17ad5543ddb7f9ad23 | # -*- Mode: python; c-basic-offset: 4; indent-tabs-mode: nil; tab-width: 40 -*-
# vim: set filetype=python:
# This Source Code Form is subject to the terms of the Mozilla Public
# License, v. 2.0. If a copy of the MPL was not distributed with this
# file, You can obtain one at http://mozilla.org/MPL/2.0/.
EXPORTS.mozi... |
999,838 | 0179a7c5871d7ae61ee5d657a5a79ac3172e526e | default_app_config = 'messages_app.apps.MessagesConfig'
|
999,839 | c84a97446790a232b3e65ac281c5ead396eecbaf | import sys
import re
try:
import polyinterface
except ImportError:
import pgc_interface as polyinterface
from copy import deepcopy
LOGGER = polyinterface.LOGGER
modeMap = {
'off': 0,
'heat': 1,
'cool': 2,
'auto': 3
}
climateMap = {
'away': 0,
'home': 1,
'sleep': 2,
'smart... |
999,840 | dbd1a272ec5d073dd7685945e5d8ed798287d899 | from project.card.card import Card
class CardRepository:
def __init__(self):
self.count = 0
self.cards = []
def add(self, card: Card):
try:
temp = [c for c in self.cards if c.name == card.name][0]
raise ValueError(f"Card {card.name} already exists!")
e... |
999,841 | e4de16f7ac887921969c02c0f312d6eae47b87b6 | import serial
import time
def main():
ser = serial.Serial('/dev/ttyACM0', 115200)
delay = 1
while 1:
ask_arduino(ser, '2;', delay) # hello
ask_arduino(ser, '3, Foobar;', delay) # echo
ask_arduino(ser, '4;', delay) # get temp
ask_arduino(ser, '5;', delay) # get stat... |
999,842 | 87f32dd63699d6a347d6ff86322abc92c941c438 | # Generated by Django 3.0.8 on 2020-12-18 10:34
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('processes', '0089_auto_20201218_1330'),
]
operations = [
migrations.AddField(
model_name='process_2_2',
... |
999,843 | 0ea084b4e495b2a90916d77633d69748e6cb709b | from unittest import TestCase
from day_one.part_two import get_location
class TestTrackPath(TestCase):
def test_track_path(self):
current_orientation = 0, 1
current_position = 0, 0
directions = [('R', 8), ('R', 4), ('R', 4), ('R', 8)]
self.assertEqual(
(4, 0),
... |
999,844 | 544b294a3da3f61dab2e56283ab4558a3adefa43 | import unittest
from rational import Rational
class SamRationalMethods(unittest.TestCase):
# Sam
def test_zero(self):
# test if zero times zero
zero = Rational(0,1)
new = zero*zero
self.assertEqual(new.n, 0)
self.assertEqual(new.d, 1)
# Sam
def test_neg(self):
#mak... |
999,845 | 14e4ee648d96bde40839dc3e4acc7d0b669e88d9 | # -*- coding: utf-8 -*-
"""Random graph permutation functions."""
import random
from typing import Optional
from pybel import BELGraph
from pybel.struct.pipeline import transformation
__all__ = [
'random_by_nodes',
'random_by_edges',
'shuffle_node_data',
'shuffle_relations',
]
@transformation
def ... |
999,846 | f6322c218b142049ad06402ae6adda82a510fcb4 | '''
Given two arrays A and B of equal size, the advantage of A with respect to B is the number of indices i for which A[i] > B[i].
Return any permutation of A that maximizes its advantage with respect to B.
Example 1:
Input: A = [2,7,11,15], B = [1,10,4,11]
Output: [2,11,7,15]
Example 2:
Input: A = [12,24,8,32],... |
999,847 | 4de230941425caedb4ce81c793b654f8099aeada | import random
import unittest
from utils.client import ServerTest
class TestBasicFunctionality(ServerTest):
def setUp(self):
self.connect_to_server()
# CON should give us an ID
def test_con(self):
self.send("CON\n")
self.assertTrue(self.recv().startswith("OK ID "))
# CON is only valid as first operation
d... |
999,848 | 0b495d9418472d99ec927ab9cc0bff11ae92ece2 | class Cat():
"""
This docstring will discuss how to interact with our Cat class.
Parameters:
name: str
laziness_level: int
This holds how lazy the cat is on a scale of 1 to 10.
location: str
This holds where the cat is currently located at.
"""
def __in... |
999,849 | 0dde7525014f2d1ae8f99779b835061768b422ad | import numpy as np
def mse(target, y):
"""
Mean Square Error
:param target: number of samples * 1, numpy array
:param y: number of samples * 1, numpy array
:return: score
"""
mse_score = ((target-y)**2).mean(axis=1)
return mse_score[0] |
999,850 | 68340b302f7c18fba483bc77a0ffaac4c73654a8 | from time import sleep
cidade = str(input('Informe o nome de uma cidade: ')).strip()
print('Vamos verificar se a cidade digitada começa com o nome Santo...')
sleep(5)
if cidade[0] in 'Santo' and cidade.upper() or cidade.lower():
print('Sim')
else:
print('Não') |
999,851 | ab9ddff054e6a0fcaefb63dbb6ff4c989730b06a | import numpy as np
import matplotlib.pyplot as plt
from scipy.special import gamma
from genetica import *
N = 20
names = ["r_histograma.pdf", "p_histograma.pdf"]
data = ["r_poblacion.dat", "p_poblacion.dat"]
for i in range(N):
expresion = Expresion()
expresion.resuelve()
r = expresion.rt[-1]
p = expre... |
999,852 | 7965f5ebccb2b787222d605a434b532547559740 | from .vertex import Vertex
from .player import Player
class Settlement:
def __init__(self, vertex, player):
assert isinstance(vertex, Vertex)
self.vertex = vertex
assert isinstance(player, Player)
self.player = player
self.level = 1
|
999,853 | c576c814afa89f278f4c4e9dd2fe0f4499cf55ff | import json
import zmq
import os
import random
import pickle
import time
import threading
import requests
from collections import deque, defaultdict
import logging
logging.basicConfig(level=logging.WARNING)
from kazoo.client import KazooClient
from zmq.eventloop import ioloop, zmqstream
class Messager:
def __i... |
999,854 | 501e61dbe23128cb91315cb6044927788e534af6 | import os, time, datetime
import numpy as np
from sklearn.neural_network import MLPClassifier as MLP
from sklearn.model_selection import train_test_split as tts
from sklearn.metrics import confusion_matrix as CM
from sklearn.metrics import accuracy_score as AS
from sklearn.multiclass import OneVsRestClassifier
from sk... |
999,855 | 93fb63a7e68e3e7451e65ed19c3b5ba4add23003 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('users', '0008_personajuridica_logo'),
('config', '0006_auto_20160307_1514'),
]
operations = [
migrations.CreateModel... |
999,856 | 6a76e20b4e296874b627719cfedc03311937bfba | class Solution:
def countTexts(self, p: str) -> int:
MOD = int(1e9+7)
if not p:
return 0
n = len(p)
f = [0] * (n+50)
f[0],f[1],f[2] = 1,1,2
for i in range(3,n+1):
f[i] = (f[i-1]+f[i-2]+f[i-3]) % MOD
g = [0] * (n+50)
g[... |
999,857 | 608b7cef728a512beb8ca7b18e30555ea70f3b25 | #! /usr/bin/env python
# coding=utf-8
#================================================================
# Copyright (C) 2018 * Ltd. All rights reserved.
#
# Editor : VIM
# File name : train.py
# Author : YunYang1994
# Created date: 2018-11-30 15:47:45
# Description :
#
#=========================... |
999,858 | ac0d587c2c49e198d5eb7e0df0f488ac05ba7b7b | def testes:
pass
|
999,859 | 15d2b90fb843442863b438d5cdc1418763592d27 | # -*- coding: utf-8 -*-
"""
Created on Wed Feb 19 21:33:53 2020
FUNCTION APPLICATIONS
@author: David
"""
def introduction(firstName, lastName):
print("Hello, my name is", firstName, lastName)
introduction("Luke", "Skywalker")
introduction("Jesse", "Quick")
introduction("Clark", "Kent")
print("*... |
999,860 | 8534fbada7c190705272615f7e0b390bae651815 | __author__ = 'yinjun'
class Solution:
"""
@param A : a list of integers
@param target : an integer to be searched
@return : a list of length 2, [index1, index2]
"""
def searchRange(self, A, target):
# write your code here
length = len(A)
start = 0
end = length -... |
999,861 | b1dc2f454a8c2f1a1902741efde068a7bb108ff5 | import pandas as pd
import numpy as np
class MSDDataset:
def __init__(
self,
path='data/YearPredictionMSD.txt',
normalize=True,
binarize=True,
train_size=463715,
shuffle=True
) -> None:
self.path = path
self.normalize = normalize
self.bin... |
999,862 | e713a6de196f9b576d7874fda15918a397fae431 | import pika
import uuid
import json
from rabbit import Rabbit
class RpcClient(object):
def __init__(self, routing_key, host="localhost"):
# routing_key - 'rpc_queue'
self.routing_key = routing_key
self.rabbit = Rabbit(host)
# 队列名，随机
self.callback_queue_name = self.rabbit... |
999,863 | 819d9d79aa5f7a72ed7f000bcb5685e5e59e178d | import os
import random
import requests
from bs4 import BeautifulSoup
from flask import Flask,jsonify,request
app= Flask(__name__)
@app.route('/')
def hello():
return '여기는 챗봇 페이지 입니다.'
@app.route('/keyboard')
def keyboard():
keyboard ={
"type" : "buttons",
"buttons" : ["메뉴", "로또", "고양이","영화"]}
r... |
999,864 | 23cc08c8f5fbc8ae6e9bd25b3b6ad31ed485500e | from django.conf.urls import include, url, patterns
from vivsite import settings
from vivs.views.Project import *
project_url = [
url(r'^$', DashboardView.as_view(), name ='dashboard'),
url(r'^about/$', AboutView.as_view(), name='about'),
url(r'^works/$', WorksView.as_view(), name='works'),
url(r'^con... |
999,865 | e69bbc017f2f031aee93ce116d17a09f55be7934 | import math as m
def queq(a, b=0, c=0):
if b == 0:
try:
return m.sqrt(-c/a), m.sqrt(-c/a)
except (ZeroDivisionError, ValueError):
return 'No roots'
elif c == 0:
try:
return -b/a
except (ZeroDivisionError, ValueError):
return 'No r... |
999,866 | 83aded3f2a6dabbbdcc07b21de1d3c8c592f0d32 | class Instructor:
def __init__(self):
self.__instructor_name = None
self.__technology_skill = None
self.__experience = None
self.__avg_feedback = None
def set_instructor_name(self, instructor_name):
self.__instructor_name = instructor_name
def get_instructor_name(se... |
999,867 | fb945f613cf4eed20b36f895247c2e1e80f0a9dc | from collections import deque
from sys import maxsize
class Node:
def __init__(self, x=0, y=0, distance=0, parent=None, move=None):
if parent:
self.distance = parent.distance + 1
if move is 'up':
self.x = parent.x
self.y = parent.y - 1
el... |
999,868 | a9eaf03c592b6ce0e1cf8f165a7b7fa91d69bb6c | from collections import deque
KEY = "3"
TREASURE = "4"
def find_dest(M, start, dest):
q = deque()
q.append(start)
dirs = [(1, 0), (-1, 0), (0, 1), (0, -1)]
steps = 0
visited = set()
visited.add(start)
while q:
for i in range(len(q)):
node = q.popleft()
x, y ... |
999,869 | 6f38920ac3ee8e2b9a4188e32a5127ede74d1f59 | # -*- coding: utf-8 -*-
import sys
import time
import random
start_time = time.time()
def bubbleSort(array):
size = len(array)
for i in range(size-1):
for j in range(0, size-i-1):
if array[j] > array[j+1]:
array[j], array[j+1] = array[j+1], array[j]
return array
with o... |
999,870 | 0fad64e46cdc5bdb34ead1634cdb653f5206d095 | import sys
sys.path.append(".")
import my_module
my_module.test(execution,x,a,b,c,d,e) |
999,871 | ae3ded9e29d7b0125c45f0ad5173c78f66c8d2ea | #!/usr/bin/env python
# -*- encoding: utf-8 -*-
'''
@File : show_all_jobs.py
@Time : 2021/09/03 11:17:09
@Author : Jeffrey Wang
@Version : 1.0
@Contact : shwangjj@163.com
@Desc : 回显当前运行全部任务示例
输出：
[Every 10 minutes do job() (last run: [never], next run: 2021-09-03 11:29:03),
Every 2 seconds do jo... |
999,872 | c2175414ec9526f3de9a3caae8917d00ab0875a6 | from flask_wtf import FlaskForm
from wtforms import StringField, PasswordField, BooleanField, SubmitField, IntegerField
from wtforms.validators import ValidationError, DataRequired, Email, EqualTo
from app.models import Therapist, Patient, Intervention, Session
class LoginForm(FlaskForm):
username = StringField('U... |
999,873 | 800efa47342b09f166476aaa626667472e70481e | #!/usr/bin/env python2
'''
Find the target from contour detection and the contours nesting.
Usage:
./polarity_find.py <image>
'''
import cv2
import cv
import numpy as np
import random
import argparse
from ptgrey import PTGreyCamera
import flycapture2 as fc2
from time import time
def show_img(img, wait=True, tit... |
999,874 | 21ce4180a954503b27180f9f58d0349d61f1c1e4 | # Generated by Django 3.1.3 on 2020-11-30 14:47
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Poll',
fields=[
('id', mode... |
999,875 | 9dfaf1a9bc588467f4c3df73e7b90e6ddd35d5b8 | from django.shortcuts import render, redirect, get_object_or_404
from accounts.forms import *
from django.contrib.auth.models import User
from accounts.models import *
from home.models import *
from django.contrib.auth.forms import UserChangeForm, PasswordChangeForm
from django.contrib.auth import update_session_auth_h... |
999,876 | 5922154c540e735c69ec884aebfc8d3fbab9af4b | Python 3.8.3 (v3.8.3:6f8c8320e9, May 13 2020, 16:29:34)
[Clang 6.0 (clang-600.0.57)] on darwin
Type "help", "copyright", "credits" or "license()" for more information.
>>> string1= "Hello"
>>> string2="Everyone"
>>> string1+string2
'HelloEveryone'
>>> #Concatenation
>>> string1-string2
Traceback (most recent call last... |
999,877 | 9bb87049ecc7b2e6de95d442178265af881443bf | # -*- coding: utf-8 -*-
from __future__ import division
from calendar import monthrange
from ConfigParser import RawConfigParser
from datetime import datetime
import argparse
import time
from pyspark import SparkConf
from pyspark.ml.evaluation import BinaryClassificationEvaluator
from pyspark.sql import functions as ... |
999,878 | 694fa0b722385eeae3420eca2e2eb73f1b1a6619 | from collections import deque
import sys
read = sys.stdin.readline
n = int(read())
queue = deque(range(1,n+1))
while True :
if len(queue) == 1:
break
queue.popleft()
queue.append(queue.popleft())
print(queue[0]) |
999,879 | f1b47b67541089b074a5199891ccf49f793fd7cc | import random
class Carte:
def __init__(self, valeur, nom):
self.valeur = valeur
self.nom = nom
def pioche(carte) :
carte = Carte(pioche[0].valeur, pioche[0].nom)
del pioche[0]
Ezmo1 = Carte(1, "Ezmo")
Ezmo2 = Carte(1, "Ezmo")
Ezmo3 = Carte(1, "Ezmo")
Ezmo4 = Carte(1, "Ezmo")
Bob1 = Carte(... |
999,880 | 03b06944ac1fdae2cebeea1aadc296ff3b9ce0b1 | #! python3
# coding: utf-8
import numpy as np
import gensim
from collections import OrderedDict
from sklearn.decomposition import PCA
def load_model(embeddings_file, fasttext=False):
if fasttext:
emb_model = gensim.models.fasttext.load_facebook_vectors(embeddings_file)
# Определяем формат модели по е... |
999,881 | b202a93d7b0969ce11639b60a4902f22960c68a0 | import numpy as np
from scipy.interpolate import interp2d
from sklearn.base import BaseEstimator, TransformerMixin
# from skimage.feature import hog
class Scaler(BaseEstimator, TransformerMixin):
"""This class will scale the data as: x = (x/a) - b"""
def __init__(self, a=100, b=1):
self.a = a
... |
999,882 | 6c82588bd680eb33a4634737333b62431c6580e7 | import math
import random
import numpy as np
import csv
np.seterr(all = 'ignore')
#np.random.seed(0)
def tanh(x):
return np.tanh(x)
# derivative for tanh sigmoid
def dtanh(x):
y = tanh(x)
return 1 - y*y
def softmax(x):
e = [np.exp(ex - np.amax(ex)) for ex in x]
out = [e1 / np.sum(e1) for e1 in e... |
999,883 | c42b60cdb82b3c4b693a2a89489e551a708107f3 | from math import *
from sklearn.cluster import KMeans
from sklearn.linear_model import LinearRegression
from sklearn import preprocessing
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import matplotlib as mpl
import folium
import seaborn as sns
from mpl_toolkits.mplot3d import Axes3D
from sklea... |
999,884 | 9e704d74cb3189c8963800665a0bba393d3083ae | import math
import numpy as np
#Cost Function Bi-objective
# x = Solution variable
# Ftype = ZDT problem option
def ZDT(x, Ftype,pRound = 2):
n = len(x)
if Ftype == 1:
f1 = x[0]
g = 1 + 9* sum(x[1:]/(n-1))
h = 1- math.sqrt(f1/g)
f2 = g*h
elif Ftype == 2:
... |
999,885 | a18f051484be9df17d5db76723947a8bf9b288dd |
# ******************************************************
# * Copyright © 2017-2023 - Jordan Irwin (AntumDeluge) *
# ******************************************************
# * This software is licensed under the MIT license. *
# * See: LICENSE.txt for details. *
# ********************************... |
999,886 | a45f2c9415f81c7e09bb1ed16a64651f26391272 | from __future__ import absolute_import
from multipledispatch import Dispatcher
# Main interface to execution; ties the following functions together
execute = Dispatcher('execute')
# Individual operation execution
execute_node = Dispatcher('execute_node')
# Compute from the top of the expression downward
execute_fi... |
999,887 | a4fbb98901c72367dbcc94e3e145bc44412c83f2 | def count_triplet(arr: [], n, k):
arr = sorted(arr)
count = 0
for i in range(0, n):
value = k - arr[i]
count = count + upper_bound_v2(arr[i + 1:], value, len(arr[i + 1:]) - 1)
return count
# Finding element count lesser than k using sliding window
def upper_bound_v2(arr: [], value, n):... |
999,888 | 0b56fdd46b988270c6714dc96b58d907d3bc3006 | def add_to(
v, to, G, color, sum_ins,
sum_out, tot_mas, ver_wei):
"""
Add vertex to community
v - vertex, that we want to add
to - vertex, to which community we want to add v
G - adjacency matrix
color - labels color
sum_ins - sum of edges inside community
... |
999,889 | 0b44a59eabeeb3a1362953bcfdc3d35b256492de | #!/usr/bin/python3
# Author: Suzanna Sia
# Standard imports
#import random
import numpy as np
import pdb
import math
import os, sys
# argparser
#import argparse
#from distutils.util import str2bool
#argparser = argparser.ArgumentParser()
#argparser.add_argument('--x', type=float, default=0)
# Custom imports
def con... |
999,890 | 8ed814b4c13f55deb3a725b98761e5a813e32396 | #!/usr/bin/env python
import matplotlib
matplotlib.use("Agg")
import threading
import matplotlib.pyplot as plt
from scipy.spatial import cKDTree as KDTree
import tf
import rospy
from message_filters import ApproximateTimeSynchronizer
from message_filters import Cache, Subscriber
from visualization_msgs.msg import Ma... |
999,891 | 798b3016ea39031b489db417077bb2340d5a0a0f | '''
Akond Rahman
Nov 21 2018
Content Grabber for Chef Analysis
'''
import os
import shutil
def getFileLines(file_para):
file_lines = []
with open(file_para, 'rU') as log_fil:
file_str = log_fil.read()
file_lines = file_str.split('\n')
file_lines = [x_ for x_ in file_lines if x_ != '\n... |
999,892 | 3373e903201fb545dbc7b1b55572572982380b20 | from BeautifulReport import BeautifulReport
import time
import unittest
discover=unittest.defaultTestLoader.discover("../case","test_case.py")
BeautifulReport(discover).report(
description=u'自动化测试报告',
filename=time.strftime("%Y-%m-%d %H_%M_%S")
) |
999,893 | 053b6fbe91b21179f49cbf2750679447e6186e46 | # -*- coding: utf-8 -*-
import scrapy
from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.remote.remote_connection import LOGGER
import logging
import ... |
999,894 | 099dd0d803946e1d053ed7b0aa8664bb3b098a0c | from ._leap import *
from ._leapros import *
|
999,895 | e3b1d264aca1460d021adb1aa80928da8c4b0f4f | from django.urls import path
from . import views
urlpatterns = [
path('', views.index, name='index'),
path('bluefire/<str:color>/', views.picker, name='bluefire')
] |
999,896 | 303dda4eda54e4940a392cb0e8103d1deb5449de | x = int(input())
z = int(input())
if z <= x:
while z <= x:
z = int(input())
if z > x:
k = 0
soma = 0
while True:
soma+= x+k
k += 1
if soma > z:
print(k)
break
else:
print("0") |
999,897 | a42d9ba989db123e703e35d8d02ce6e78878bb23 | import asyncio
class AsyncHTTPHandler:
'''
This is just to mimic the socketserver.TCPServer functionality
'''
def __init__(self, writer):
self.wfile = writer
def send_response(self, status):
self.wfile.write(f'HTTP/1.1 {status} OK\r\n'.encode())
def send_header(self, header, ... |
999,898 | 3c1ab82d364f9d9ce83b3ca21ecc5efe2decc1c8 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
import re, time, json, logging, hashlib, base64, asyncio
from coroweb import get, post
def check_admin(request):
if request.__user__ is None or not request.__user__.admin:
raise APIPermissionError()
@get('/')
async def index(*, page='1'):
return {
... |
999,899 | 2587d3f629f6107070698e02067ee8d12a51c61c | import os
from datetime import datetime
mod_time = os.stat('destination.loc.txt').st_mtime
print(datetime.fromtimestamp(mod_time)) |
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