text stringlengths 38 1.54M |
|---|
import imdb
from imdb.Person import Person
ia = imdb.IMDb()
#Prompts user to type in movie.
name = input('Type in the movie you want to search: ')
#This line takes the input and searches the IMDb search system for it.
search = ia.search_movie(name)
#This takes the first result of the search and makes it the object.
#... |
from os import listdir
from os.path import isfile, join
import re
import numpy as np
from scipy.stats import norm
from scipy.stats import lognorm
import matplotlib as mpl
import matplotlib.pyplot as plt
import preprocessing as prep
import pdfplot as pdfplt
import kldplot as kldplt
name = "update-performance"
fig = pl... |
from django import template
# import settings
# from pyparsing import basestring
register = template.Library()
@register.filter('startswith')
def startswith(text, starts):
if isinstance(text, basestring):
return text.startswith(starts)
return False
@register.filter(name='get')
def get(obj, key):
... |
####### DATABASE AND PYTHON ########
# Connect to SQL Server database using pyodbc
import pyodbc
server = 'tcp:myserver.database.windows.net'
database = 'mydb'
username = 'myusername'
password = 'mypassword'
conn = pyodbc.connect('DRIVER={ODBC Driver 17 for SQL Server};SERVER='+server+';DATABASE='+database+';UID=... |
#dependencies to create flask app and machine learning model
From flask import flask, render_template, request
App = Flask(__name__)
#if we create our own model can use pickle.
Model_TSLA = pickle.load(open(‘test_model.pkl’,’rb’))
#create route for home route
@app.route("/")
def home():
return render_templat... |
import math
from camera import RGBD
from DQN import DQN
from Env import Robot, CubesManager
import copy
import rospy
robot = Robot()
cum = CubesManager()
cum.reset_cube(False)
robot.test1()
robot.reset() |
import time, os, math, sys
import ROOT
ROOT.gROOT.SetBatch(True)
def main(options,args) :
print 'Starting retrieve.py to retrieve file on Grid or Condor.'
print 'Loading Root...'
ROOT.gROOT.ProcessLine(".x $ROOTCOREDIR/scripts/load_packages.C")
submitDir = options.dir
if os.path.exists(submitD... |
#-------------------------------------------------------------------------------------------------#
# General Configrations
#-------------------------------------------------------------------------------------------------#
from enum import Flag, auto
MAX_DEPTH = 2 # maximum depth of DFS trees
FILE_TYPE = 'csv' # ou... |
# Generated by Django 2.1.5 on 2019-02-24 03:43
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('stock_picker', '0006_auto_20190224_1138'),
]
operations = [
migrations.AlterField(
model_name='stock',
name='logo',
... |
from django.contrib.auth import authenticate, logout, login
from django.contrib.auth.mixins import LoginRequiredMixin
from django.contrib.auth.models import User
from django.db.models import Avg
from django.shortcuts import render, redirect
from django.urls import reverse_lazy
from django.views import View
from django.... |
# -*- coding: utf-8 -*-
# Generated by Django 1.9.6 on 2016-05-15 21:31
from __future__ import unicode_literals
import django.core.validators
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateMo... |
import pygame
from pygame.sprite import Sprite
class Star(Sprite):
"""Класс спрайтовой звезды."""
def __init__(self, ai_settings, screen):
"""Инициализирует звезду и задает ее позицию."""
super().__init__()
self.screen = screen
self.ai_settings = ai_settings
# С... |
# -*- coding: utf-8 -*-
from kivy import platform
from kivy.base import stopTouchApp
from kivy.core.window import Window, Keyboard
from kivy.properties import StringProperty, ObjectProperty
from kivy.uix.boxlayout import BoxLayout
from core.categoryScreen import CategoryScreen
from core.mainScreen import MainScreen
fro... |
import numpy as np
import cv2
import csv
from find_BB_and_depth import find_BB_and_depth
# import load_mat_to_python
from linreg_closedform import LinearRegressionClosedForm as LinearRegression
from PIL import Image
# from NeuralNet import runNeuralNet
import sys
def estimateSize():
# Part 0: Loading the data wi... |
from scrapy import Request
from scrapy.spiders import Spider
from douban.items import DoubanItem
import json
class MovieSpider(Spider):
name = 'movies'
currentPage = 1
# 定义headers属性，设置用户代理
headers = {
"User-Agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) "
"Apple... |
# Generated by Django 2.2.6 on 2020-04-30 03:54
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
('publicaciones', '0001_initial'),
]
operations = [
migrations.CreateModel(
n... |
bil1 = int(input("MASUKAN BILANGAN KE-1 :"))
bil2 = int(input("MASUKAN BILANGAN KE-2 :"))
bil3 = int(input("MASUKAN BILANGAN KE-3 :"))
terbesar = bil1
if(bil2>terbesar):
terbesar=bil2
if(bil3>terbesar):
terbesar=bil3
print("BILANGAN TERBESAR DARI KE-3 BILANGAN TERSEBUT ADALAH :", terbesar) |
import numpy as np
from networkx.utils import *
import os
from generalize_ising_model.ising_utils import save_graph, makedir
# Average Value
path_input = '/home/user/Desktop/'
simulation_name = 'experiment_1'
path_output_data = path_input + simulation_name
path_outputexp_exp = path_output_data + '/average_value/'
defa... |
from flask import Flask
from flask_restful import Api
from config import app_config
from flask_sqlalchemy import SQLAlchemy
from flask_cors import CORS
from flask_jwt_extended import JWTManager
db = SQLAlchemy()
jwt = JWTManager()
api = Api(prefix='/api/')
def create_app(config_name):
app = Flask(__name__)
... |
"""
@author : Sundesh Raj
UTA_ID : 1001633297
CSE6363 Machine Learning
Final Project
"""
import math
import os
#importing Python heap class to perform heap queue operations
#https://github.com/python/cpython/blob/3.7/Lib/heapq.py
import heapq
import time
import operator
from csv import reader
#suppress unwanted war... |
import os
class c:
HEADER = '\033[95m'
OKBLUE = '\033[94m'
OKGREEN = '\033[92m'
WARNING = '\033[93m'
FAIL = '\033[91m'
ENDC = '\033[0m'
BOLD = '\033[1m'
UNDERLINE = '\033[4m'
def getMac(path):
f = open(path)
a = f.read()
a=a.replace("OBSS", "").replace("* BSS", "").replace("* BSS... |
# -*- coding: utf-8 -*-
"""
Created on Fri Apr 20 17:01:36 2018
@author: Andy Everitt
Detects desk using contours from depth image
"""
import numpy as np
import cv2
import os
import pyrealsense2 as pyrs
"""
test00 - Bedroom desk, unobstructed -> knee. (unaligned color & depth)
test01 - Bedroom desk, unobstructed... |
import re
def get_after(string, after_this):
assert isinstance(string, str) or isinstance(string, unicode)
assert isinstance(after_this, str) or isinstance(after_this, unicode)
return string[string.index(after_this) + len(after_this):]
def get_before(string, before_this):
assert isinstance(string,... |
import pandas as pd
import pickle
from joblib import load
# from collections import OrderedDict
from json2html import *
import sklearn
# Update file path to app specific path
test_df = pd.read_csv("app/home/model/test_df.csv")
def pred_function(x):
"""
NOTE: Files required for correct functionality!
Ta... |
current_users=['John','B','c','d','e','h'] print(current_users) current_user=[]
#定义一个变量
for x in current_users: current_user.append(x.lower())#将列表转化为小写
print(current_user)#测试是否转化了小写
print(current_users)#测试原列表是否没被更改
new_users=['JOHN','b','f','g','p'] for new_user in new_users :
if new_user.lower() in current_... |
import os
import csv
# Path to collect data from the Resources folder
csvpath = os.path.join('election_data.csv')
with open(csvpath, newline='') as csvfile:
# CSV reader specifies delimiter and variable that holds contents
csvreader = csv.reader(csvfile, delimiter=',')
print(csvreader)
csv_header ... |
import hashlib
class Ed25519P():
p = 2**255 - 19
L = 2**252 + 27742317777372353535851937790883648493
d = (-121665 * pow(121666, p-2, p)) % p
def __init__(self, x, y):
if x is None or y is None:
raise ValueError("x or y are None")
self.x = x % self.p
self.y = y % se... |
from ..decorators import *
from numbers import Real
@validate_args([Real, Real, Real])
@ignite_global
def helper_circle(self, *args):
self.ellipse(*args, args[2])
@validate_args([Real, Real, Real])
@ignite_global
def helper_stroke_circle(self, *args):
self.stroke_ellipse(*args, args[2])
@v... |
import os
NUM_CLIENTS = 4
if __name__ == "__main__":
# change to current directory to run the script
os.chdir(os.path.dirname(os.path.realpath(__file__)))
# run server.py in another cmd window
os.system("start cmd /K python server.py")
# run client.py in another cmd windows
for client_id in r... |
from flask import Flask, request, jsonify
import json
import cleaner
import model_util
import nltk
app = Flask(__name__)
nltk.download('punkt')
@app.route("/rest/classify", methods=['POST'])
def classify():
data = request.get_json()
input_tokenized = tokenizer.texts_to_matrix([cleaner.clean_message(data['cont... |
import os
import numpy as np
def get_size(start_path = '.'):
total_size = 0
for dirpath, dirnames, filenames in os.walk(start_path):
for f in filenames:
fp = os.path.join(dirpath, f)
total_size += os.path.getsize(fp)
return total_size
print '\t Total memory usage in this a... |
'''5. Вывести на экран коды и символы таблицы ASCII, начиная с
символа под номером 32 и заканчивая 127-м включительно. Вывод
выполнить в табличной форме: по десять пар «код-символ» в каждой
строке.
'''
START, END = 32, 127
PAIR_NUM = 10
for j in range(PAIR_NUM):
pairs = ''
first = START + PAIR_NUM * j
f... |
from collections import OrderedDict
from pymongo.errors import BulkWriteError
from database import DB
from models.withdrawn_stuff import WithdrawnStuff
from settings import users_fields
class User(object):
def __init__(self):
cols = DB().mydb.collection_names()
if 'users' not in cols:
... |
# this version is old and may not work
def train():
best_model = {}
best_test_acc = 0.0
for epoch in range(num_epochs):
print('\n------------Training------------\n')
model.train()
time1 = time.time()
for i, (query, pos, neg) in enumerate(train_loader):
query = qu... |
"""
Function to find the length of the given linked list
Input: lst --> linked list head
Return value: length
TC: O(n)
SC: O(1) """
from Node import Node
from LinkedList import LinkedList
from insertion_tail import insert_at_tail
def length(lst):
length = 0
cur = lst.get_head()
while cur:
length += 1
cur = cu... |
# from datasets.pascalvoc import PascalVOC
from datasets.corrosion import Corrosion
from torch.utils.data import DataLoader
import generators.deeplabv2 as deeplabv2
import torch
import torch.nn as nn
from torch.autograd import Variable
import argparse
import os
import numpy as np
from utils.metrics import scores
import... |
import setuptools
setuptools.setup(
name="distill",
author="Julian Mack",
description="toy NLP knowledge distillation",
packages=["distill"],
include_package_data=True,
)
|
# from account.forms.using_proxy_models import *
# from account.forms.using_boolean_values import *
from account.forms.using_multiple_choices import * |
"""By Kutay/Berkay DÖNMEZ"""
#should get bs4, html5lib, lxml packages first
import scipy.constants as sc
import xarray as xr
import numpy as np
from datetime import datetime, timedelta
from dask.distributed import Client
import matplotlib.pyplot as plt
from metpy.plots import SkewT
from metpy.units import units
from ... |
from easydict import EasyDict as edict
import json
config = edict()
config.TRAIN = edict()
## Adam
config.TRAIN.batch_size = 4 # [16] use 8 if your GPU memory is small, and use [2, 4] in tl.vis.save_images / use 16 for faster training
config.TRAIN.lr_v = 1e-4
config.TRAIN.beta1 = 0.9
## initialize G
conf... |
# Copyright (c) 2015, Frappe Technologies Pvt. Ltd. and Contributors
# For license information, please see license.txt
from __future__ import unicode_literals
import frappe
from frappe import _
from frappe.model.document import Document
from frappe.model import no_value_fields
from frappe.translate import set_default_... |
'''Crie um programa que tenha uma tupla única com nomes de produtos e seus respectivos preços,
na sequência. No final, mostre uma listagem de preços, organizando os dados em forma tabular.'''
produtos = ('Lápis', 1.75, 'Borracha', 2.00, 'Caderno', 15.90, 'Estojo', 25.00, 'Transferidor', 4.20,
'Compasso... |
#!/usr/bin/python
# -*- coding: latin-1 -*-
# leetcode 67
class Solution(object):
def addBinary(self, a, b):
if len(a) < len(b):
a, b = b, a
size = len(a)
add = 0
result = []
for i in range(1, size + 1, 1):
curValue = int(a[-i])
if add =... |
import networkx as nx
import numpy as np
from matplotlib import pyplot as plt
import pprint
import argparse
import json
from wiki import (get_candidates, edge_between, find_most_linked,
generate_links_dict, check_edge, get_pageviews, trim_candidates,
create_backlinks_count_dict, parallelise_requests)
import settings
... |
def processar_resposta(cl):
if cl == '1':
po = float(input('Qual a tensão?: '))
pi = float(input('Qual a corrente?: '))
pt = po * pi
print(f'A potencia é: {pt}P')
elif cl == '2':
pl = float(input('Qual a potencia?: '))
pk = float(input('Qual a corrente?: '))
... |
# -*- coding: utf-8 -*-
from django import forms
from .models import Ouser
class ProfileForm(forms.ModelForm):
class Meta:
model = Ouser
fields = ['link','avatar']
|
class MyCalendar:
def __init__(self):
self.events = []
def book(self, start: int, end: int) -> bool:
for s, e in self.events:
if end <= s or start >= e:
continue
else:
return False
self.events.append([start, end])
return T... |
# -*- coding: utf-8 -*-
# Generated by Django 1.10 on 2016-09-03 22:26
from __future__ import unicode_literals
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('web', '0015_merge_20160903_1820'),
('web', '0015_merge_20160903_1430'),
]
operations ... |
#!/usr/bin/env python
import pytest
import os
import devtools_shorthand_sql.instructions_parser as parser
def test_map_raw_field_data_type():
# field type exists, upper
result = parser.map_raw_field_data_type('INT')
assert result == 'INT'
# field type exists, lower
result = parser.map_raw_field_d... |
# -*- coding: UTF-8 -*-
#!/usr/bin/env python
#from time import sleep
from urllib.parse import urlparse
from lxml import etree
import requests
from application.conf import HEADERS
from application.defaults import TIMEOUT
def check_alexa(url, timeout=TIMEOUT):
"""
Returns Alexa rank of given web site url
... |
#!/usr/bin/env python
# Outside libraries
import pygame
# Python libraries
import random
import time
from math import sin, cos, pi
################################################################################
########################## PARTICLE DEFINITION #################################
####################... |
from django.urls import path, include
from rest_framework.routers import DefaultRouter
from playlist import views
router = DefaultRouter()
router.register('tracks', views.TrackViewSet)
router.register('ingredients', views.GenreViewSet)
app_name = 'playlist'
urlpatterns = [
path('', include(router.urls))
]
|
import numpy as np
import pandas as pd
from sklearn.metrics import confusion_matrix
import xarray as xr
import plotly
import plotly.offline as py
from plotly.tools import FigureFactory as FF
from cesium import featureset
from .config import cfg
def feature_scatterplot(fset_path, features_to_plot):
"""Create scat... |
#! python
# -*- coding: UTF-8 -*-# enable debugging
import cgitb
import mysql.connector
mydb = mysql.connector.connect(
host="192.168.73.6",
port="3306",
user="erabiltzailea",
password="1234",
database="jatetxea"
)
def produktuaTabla():
mycursor = mydb.cursor()
mycursor.execute("SELECT * FRO... |
import numpy as np
from sklearn import svm
from sklearn.feature_selection import VarianceThreshold
# 1. get training and test set of X & Y
import csv
X = []
Y = []
X_test = []
accVec = []
avgVec = []
numFolds = 10
degreeVec = [3,4,5,6,7,8,9,10]
# Training datasets
with open('train_vale.csv') as csvfile:
readCSV = ... |
#!/usr/bin/env python
import operator
from functools import reduce
from django.contrib import messages
from django.db.models import Q
from django.views.generic import ListView, CreateView, UpdateView, DeleteView
from .models import EstandarAcceso, Perfil, Persona
class GenericListView(ListView):
model = object... |
#Scientific Calculator
# Import tkinker and other libraries
from tkinter import *
import math
import parser
import tkinter.messagebox
root = Tk()
root.title("Scientific Calculator")
root.configure(background = 'white')
root.resizable(width=False, height=False)
root.geometry("480x568+450+90")
calc = Frame(root)
calc.g... |
# Generated by Django 2.2.6 on 2020-01-02 10:03
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('blog', '0006_auto_20200102_0936'),
]
operations = [
migrations.AddField(
model_name='comment',
name='date_pub',
... |
targets = [int(x) for x in input().split()]
target_counter = 0
shot_target = input()
while not shot_target == "End":
shot_target = int(shot_target)
if shot_target in range(len(targets)):
if not targets[shot_target] == -1:
temp = targets[shot_target]
targets[shot_target] = -1... |
# -*- coding:utf-8 -*-
from fileio import *
from utils import *
from models import *
import sys
def generate_ad_account_graph(fn, not_family_ads, ad_shareddevices):
nodes = dict()
edges = dict()
for line in open(fn):
ad, device, os_, ua, ext_id, pro_category, count = line.strip('\n').split('\00... |
from belize.dao.CanalDAO import CanalDAO
from belize.dao.MensagemDAO import MensagemDAO
from belize.modelo.CanalParaListagemVM import CanalParaListagemVM
from belize.modelo.CanalVM import CanalVM
from pyorient import OrientDB
from belize.modelo.UsuarioVM import UsuarioVM
from belize.modelo.WorkspaceVM import Workspace... |
"""
Classes and methods for storing and manipulating time data, including:
- The TimeMetadata model for defining metadata for TimeData
- The TimeData class for storing TimeData
- Implementations of time data readers for numpy and ascii formatted TimeData
- TimeData processors
"""
from loguru import logger
from typing ... |
# code
a= 3
b= 4
print("a is", a, "b is",b)
if a > b :
print(a , "is bigger than ", b)
# break cell here
Add another if statement to the code above to check if b is greater than or equal to a |
# https://leetcode.com/problems/squares-of-a-sorted-array/
# Given an integer array nums sorted in non-decreasing order, return an array of the squares of each number sorted in non-decreasing order.
# Example 1:
# Input: nums = [-4,-1,0,3,10]
# Output: [0,1,9,16,100]
# Explanation: After squaring, the array beco... |
import pickle
import csv
import pandas as pd
import os
import random
from sklearn.utils import shuffle
import numpy as np
from math import cos, asin, sqrt
#reading the saved model form pickle file
pickle_in = open("static/knn/knn.pickle","rb")
model = pickle.load(pickle_in)
indices = model['indices']... |
import FWCore.ParameterSet.Config as cms
ecalFEDWithCRCErrorProducer = cms.EDProducer("EcalFEDWithCRCErrorProducer",
InputLabel = cms.InputTag("source")
)
|
segundos=1
print ('\n')
while (segundos>=0):
segundos=eval(input('Escreva um número de segundos\n(um número negativo para terminar)\n? '))
if (segundos >= 0):
dias = segundos / 86400
print ('O numero de dias correspondente é', dias) |
import sys
import random
import numpy as np
from astropy.io import fits
np.set_printoptions(threshold=np.inf)
def parse_s82(filename):
# read out s82 ID of each source and their ra / dec
ID, ra, dec = [], [], []
with open(filename) as f:
lines = f.readlines()
for line in lines:
... |
from rest_framework import routers
from .views import HomeworkResultViewSet, PersonalHomeworkViewSet
router = routers.SimpleRouter()
router.register(r'results', HomeworkResultViewSet, basename='Homework')# страница для мониторинга всех ДЗ и их фильтрации
router.register(r'myhomework', PersonalHomeworkViewSet, basenam... |
"""Constraint Tests"""
import pytest
from ..lib.constraint import (
Constraint,
SimpleConstraint,
SimpleConstraintABC,
)
def test_simpleconstraint_reprocess_match():
"""Test options for reprocessing"""
sc = SimpleConstraint(
value='my_value',
reprocess_on_match=True
)
matc... |
class FoxAndGame:
def countStars(self, result):
return sum(r.count('o') for r in result)
|
'''
3. Matrix product
Question : Given a matrix, find the path from top left to bottom right with the
greatest product by moving only down and right
'''
import sys
from functools import reduce
def pathProduct(grid):
def dfs(grid,r,c,path):
nonlocal maxprod
if r == len(grid)-1 and c== len(grid[0])-1:
p... |
from hypothesis import given
from clipping.planar import (intersect_segments,
subtract_segments,
unite_segments)
from tests.utils import (SegmentsPair,
SegmentsTriplet,
are_compounds_similar,
... |
"""
Show default for 'preserved_as_paper_default'
bin/instance run show_preserved_as_paper_default.py
"""
from opengever.document.interfaces import IDocumentSettings
from opengever.maintenance.debughelpers import setup_app
from opengever.maintenance.debughelpers import setup_option_parser
from opengever.maintenan... |
import time
def toString(List):
return ''.join(List)
strings = []
def allLexicographicRecur (string, data, last, index):
length = len(string)
for i in range(length):
data[index] = string[i]
if index==last:
strings.append(toString(data))
else:
allLexicographic... |
# -*- coding: utf-8 -*-
# Generated by Django 1.11.4 on 2018-02-11 05:29
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('schedule', '0004_auto_20180211_1056'),
]
operations = [
migrations.AlterFie... |
# flake8: noqa
from django.conf.urls import patterns, url, include
from docorsauth import views
urlpatterns = patterns('',
url(
r'^accounts/register/$',
views.register,
name='registration_register'
... |
import pandas as pd
df = pd.read_csv('https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_confirmed_US.csv')
ill_df = df.query('Province_State == "Illinois"')
filter = ['Admin2', 'Lat', 'Long_']
for i in range(15, 32):
filter.append('10/'... |
from functools import wraps
def str_bool(value):
"""
Parse bool from string
Usage:
>>> str_bool("1")
True
>>> str_bool("0")
False
>>> str_bool("TRUE")
True
>>> str_bool("false")
False
:param value: str
:return: bool
"""
value = value.strip().lower()
if... |
# -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'auth.ui'
#
# Created by: PyQt5 UI code generator 5.15.0
#
# WARNING: Any manual changes made to this file will be lost when pyuic5 is
# run again. Do not edit this file unless you know what you are doing.
from PyQt5 import QtCore, QtGui, ... |
""" Simple Flask App to Predict Iris Species"""
import json
import logging
import sys
from flask import Flask, render_template, session, redirect, url_for
from flask import request
from flask.ext.wtf import Form
from sklearn.datasets import load_iris
from sklearn.neighbors import KNeighborsClassifier
from wtforms imp... |
import cv_service_1
import unittest
class CvService1(unittest.TestCase):
def setUp(self):
self.app = cv_service_1.app.test_client()
self.app.testing = True
def test_healthcheck_code(self):
response = self.app.get('/cv1/healthcheck')
self.assertEqual(response.status_code, 200)
... |
from Coronavirus import SarsCoV2
import colorama
from colorama import Fore
from Bio.Seq import Seq
import Bio.SeqIO as BIO
from Bio import AlignIO
from Bio import pairwise2
from Bio.pairwise2 import format_alignment
from fuzzywuzzy import fuzz
from fuzzywuzzy import process
from Bio import Entrez
import mysq... |
# 以二叉树对应的完全二叉树为参照，空白节点处使用#字符填充，使用层次遍历表示二叉树，节点间使用空格分割，如4 2 7 # 3 6 9,
# 输出其镜像
"""
way1 暴力美学
1.空白节点用#填充，因此可以把它当作完全二叉树
2.完全二叉树除叶节点所在层外，每层节点数满足2**n,n是所在高度高度减1，
如第一层有2**0个节点，第二层有2**1个节点
3.计算层数
sum = 0 ,i = 0
循环：last_sun = sum ,sum += 2**i, i += 1
退出循环： sum >= length
则树的高度为 height = i，叶节点数: leaf_nodes = ... |
import tensorflow as tf
import pandas as pd
df = pd.read_csv('./item_vector.csv')
num_input = 157
num_hidden = 64
num_code = 10
num_output = num_input
learning_rate = 0.01
X = tf.placeholder(tf.float32, shape=[None, num_input])
W1 = tf.Variable(tf.truncated_normal([num_input, num_hidden], stddev=0.1))
b1 = tf.Varia... |
def main():
print('Generate join pairs')
f = open('join_pairs_pbsm_multiplier_larger_medium_datasets.csv', 'w')
# bits = range(1, 11)
# dias = range(1, 11)
# bits = [1, 2]
# dias = [1]
pbsm_multipliers = [1, 2, 5, 10, 20, 50, 100, 200, 500, 1000, 2000, 5000, 10000, 20000, 30000, 40000, ... |
"""
10.1-5
Whereas a stack allows insertion and deletion of elements at only one end, and a queue allows insertion at one end and
deletion at the other end, a deque (double- ended queue) allows insertion and deletion at both ends. Write four
O(1)-time procedures to insert elements into and delete elements from both end... |
import sys
class SuperReducedString():
def __init__(self):
pass
def processSuperReducedString(self, s):
i = 0
while i < len(s) -1:
if s[i] == s[i + 1]:
s = s[:i] + s[i+2:]
i = 0
else:
i += 1
... |
from rkd_harbor.test import BaseHarborTestClass
from rkd_harbor.tasks.deployment.vault import EncryptVaultTask
class EncryptVaultTaskTest(BaseHarborTestClass):
def test_functional_file_is_encrypted(self):
"""Test encryption"""
with self.subTest('Encrypt the file'):
self.execute_mocked... |
from django.db import models
from django.contrib.auth.models import User
from datetime import datetime
from django.db.models.signals import post_save
from django.dispatch import receiver
import hashlib
# Create your models here.
class user_details(models.Model):
user = models.ForeignKey(User, on_delete=models.CA... |
#!/bin/python3
import math
import os
import random
import re
import sys
# Complete the sockMerchant function below.
def sockMerchant(n, ar):
d=dict()
for x in ar:
if x not in d:
d[x]=1
else:
d[x]+=1
ans=0
for x in d:
if d[x]%2!=0:
d[x]-=1
... |
# -*- coding: utf-8 -*-
"""Tests for tmuxp.
tmuxp.tests
~~~~~~~~~~~
"""
from __future__ import (absolute_import, division, print_function,
unicode_literals, with_statement)
import os
current_dir = os.path.abspath(os.path.dirname(__file__))
example_dir = os.path.abspath(os.path.join(current_d... |
# -*- coding: utf-8 -*-
"""
Created on Tue Sep 18 11:02:38 2018
@author: Admin
"""
import numpy as np
class Operation():
def __init__(self, input_nodes=[]):
self.input_nodes = input_nodes
self.output_nodes = []
for node in input_nodes:
node.output_nodes.append(self)
... |
class Solution(object):
def majorityElement(self, nums):
maxCount = 0
maxNum = 0
for i in set(nums):
count = nums.count(i)
if count >= maxCount:
maxCount = count
maxNum = i
return maxNum |
def merge(a):
if len(a) > 1:
global c
mid = len(a) // 2
L = a[:mid]
R = a[mid:]
merge(L)
merge(R)
i = j = k = 0
while i < len(L) and j < len(R):
if L[i] <=R[j]:
a[k] = L[i]
i += 1
... |
from unittest import mock
from zerver.lib.compatibility import (
find_mobile_os,
is_outdated_desktop_app,
is_pronouns_field_type_supported,
version_lt,
)
from zerver.lib.test_classes import ZulipTestCase
class VersionTest(ZulipTestCase):
data = (
[
case.split()
for... |
# -*- coding: utf-8 -*-
# Generated by Django 1.9 on 2016-02-22 16:09
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('history', '0002_predictiontest'),
]
operations = [
migrations.AddField(
... |
#!/usr/bin/env python3
from random import randrange, choice
from functional.inventory import add_bottle, stock_take, StockLevelError, use_shot
# from classy.inventory import add_bottle, stock_take, StockLevelError, use_shot
from recipes import RECIPES
CRED = '\033[91m'
CEND = '\033[0m'
# setup bottles
SPIRITS = [
... |
# coding: utf-8
# ### 多分类问题中的混淆矩阵
# In[3]:
import numpy as np
import matplotlib.pyplot as plt
from sklearn import datasets
digits = datasets.load_digits()
X = digits.data
y = digits.target
# In[4]:
from sklearn.model_selection import train_test_split
X_train, X_test, y_train, y_test = train_test_split(X, y, ... |
from math import sqrt, acos, pi
from decimal import Decimal, getcontext
getcontext().prec = 30
class Vector(object):
CANNOT_NORMALIZE_ZERO_VECTOR_MSG = 'Cannot normalize the zero vector'
def __init__(self, coordinates):
try:
if not coordinates:
raise ValueError
self.coordinates = tuple([Decimal(x) ... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.