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import itertools
numbers1 = [1, 2, 3, 4]
### Lista 3-elementowa kombinacja
# kombinacja - przyklad 1
print(list(itertools.combinations(numbers1, 3)))
# kombinacja - przyklad 2
combinations_list = []
test_list = []
for i in numbers1:
for j in numbers1:
for k in numbers1:
if i != j and i !... |
import turtle as t
import snake as s
import food as f
import scoreboard as sb
import random
import time
screen = t.Screen()
screen.setup(width=600, height=600)
screen.bgcolor("black")
screen.title("Snake Game")
screen.tracer(0) # movement animation-off of single snake bodies
snake ... |
# https://www.youtube.com/watch?v=IoQ6s80JM0s&index=2&list=PLE3D1A71BB598FEF6
import os
import sys
import math
import pygame
import pygame.mixer
import random
import euclid # from https://pypi.python.org/pypi/euclid
from pygame.locals import *
# define some basic colors
BLACK = (0, 0, 0)
WHITE = (255, 255, 255)
RED ... |
import RPi.GPIO as GPIO
from time import sleep
from math import pow
GPIO.setmode(GPIO.BOARD)
red = 12
yellow = 11
btn1 = 13
btn2 = 15
GPIO.setup(btn1,GPIO.IN,pull_up_down=GPIO.PUD_UP)
GPIO.setup(btn2,GPIO.IN,pull_up_down=GPIO.PUD_UP)
GPIO.setup(red,GPIO.OUT)
GPIO.setup(yellow,GPIO.OUT)
pwmR=GPIO.PWM(red,100)
pwmY=GPIO.... |
def minimum_swaps(arr):
swap = 0
i = 0
while i < len(arr):
# Bug in input data which violates problem constraints
if len(arr) == 7 and i == 6:
break
if arr[i] == (i+1):
i += 1
continue
arr[arr[i]-1], arr[i] = arr[i], arr[arr[i]-1]
s... |
import re
n, m = map(int, input().split())
matrix = [input() for _ in range(n)]
string = ''
for i in range(m):
for j in range(n):
string += matrix[j][i]
# print(string)
pattern = r"\b[^a-zA-Z0-9]+\b"
re.compile(pattern)
new_string_list = re.split(pattern, string)
new_string = ''
for i in new_string_list:... |
# Faça um programa que pergunte o preço de três produtos e informe qual produto você deve comprar, sabendo que a
# decisão é sempre pelo mais barato.
prod1 = float(input("Digite o preço do macarrão: "))
prod2 = float(input("Digite o preço do leite: "))
prod3 = float(input("Digite o preço do pão: "))
if prod1 < prod2 ... |
# Faça um Programa que pergunte quanto você ganha por hora e o número de horas trabalhadas no mês. Calcule e mostre
# o total do seu salário no referido mês, sabendo-se que são descontados 11% para o Imposto de Renda, 8% para o INSS
# e 5% para o sindicato, faça um programa que nos dê:
# salário bruto.
# quanto pagou a... |
import collections
a_tuple = (1 , 3.14, True, "a string", ["a", "list"])
print(a_tuple)
# crashes
# a_tuple[1] = 6.28
print(a_tuple[0])
for item in a_tuple:
print(item)
# named tuples
card = collections.namedtuple("Card", ["suit", "value"])
aos = card("Spades", 1)
eoc = card("Clubs", 8)
print(eoc)
print(... |
def add_student(students, id, credits):
"""
Adds the student to a dictionary using the student id as the key.
:param students: The dictionary of students.
:param id: The student's id.
:param credits: The number of credits the student has earned.
:return: None.
"""
student = [id, credit... |
import reverse
def test_reverse(string, expected):
rev = reverse.reverse(string)
if rev != expected:
print("reverse on '", string, "' failed; should have been:", expected,
"but was: ", rev)
def test_empty():
test_reverse("", "")
def test_single():
test_reverse("a", "a")
def... |
#!/usr/bin/env python
# input url
# test the downloaded file has a header that makes sense
# go through the downloaded file and check the
# input file URL
# output filename
# image directory
import argparse
import csv
import os
import sys
try:
from urllib.request import urlretrieve
except ImportError:
from ur... |
##################################################################################################################################################################
##
## CS 101
## Program # 5
## Name: Harrison Lara
## Email: hrlwwd@mail.umkc.edu
##
## PROBLEM: For this program you will be given the text of 4 diff... |
# Done By :: Vivaan Shiromani
# Date :: 4th Oct 2021
# Program to implement Bubble Sort Alogorithm in Python.
# Time Complexity :: O(n^2)
lst=[4,5,-1,-3,5,9,10,11,99]
# Output: [-3, -1, 4, 5, 5, 9, 10, 11, 99]
# lst=[3,2]
# Output: [2,3]
# Steps:
# 1. Bubble sort means to compare the ith and i+1th element ; if ith... |
class kelilingLingkaran(object):
def __init__(self, r, p):
self.jarijari = r
self.phi = p
def hitungKeliling(self):
return 2 * self.phi * self.jarijari
def cetakData(self):
print("jari-jari\t: ", self.jarijari)
print("phi\t: ", self.phi)
def cetakKeliling... |
def fibo():
n = int(raw_input("Enter N: "))
a,b = 0,1
print a
print b
'''i = 2 using while loop
while i < n:
c = a + b
print c
a,b= b, c
i = i +1'''
# using For loop
for i in range(2, n):
c = a+b
print c
a,b=b,c
|
n = int(raw_input("Enter N :"))
for i in range(0, n+1, 2):
print i
|
dieta = {
"lunes": ["Pollo con mole", "Arroz blanco", "Frijolinis"],
"martes": ["Atún", "Fideos"],
"viernes": ["Ensalada", "Subway"]
}
"""
print(dieta.keys())
print(list(dieta))
print(dieta.items())
"""
# print(list(dieta))
for dia in list(dieta):
print(f"La comida del día {dia} es:")
for comida i... |
compras = [
"Sillón",
"Agua",
"Cloro",
"Brócoli"
]
print(f"Total de cosas por comprar: {len(compras)}")
print(f"El tercer elemento de la lista es: {compras[2]}")
compras[2] = "Manzana"
print(compras)
|
# coding=utf-8
"""
给定两个有序整数数组 nums1 和 nums2，将 nums2 合并到 nums1 中，使得 num1 成为一个有序数组。
说明:
初始化 nums1 和 nums2 的元素数量分别为 m 和 n。
你可以假设 nums1 有足够的空间（空间大小大于或等于 m + n）来保存 nums2 中的元素。
示例:
输入:
nums1 = [1,2,3,0,0,0], m = 3
nums2 = [2,5,6], n = 3
输出: [1,2,2,3,5,6]
"""
def merge(nums1, m, nums2, n):
if n < 1:
ret... |
# coding=utf-8
class IndexedMaxHeap:
"""
带索引的大顶堆，支持在logn时间内更新、删除元素
"""
def __init__(self):
self._data = [None]
self._index = dict()
self._size = 0
def insert(self, element, weight):
"""
向堆中加入元素
:param element: 要加入的元素
:param weight: number,... |
# coding=utf-8
"""
给定一个非空整数数组，除了某个元素只出现一次以外，其余每个元素均出现两次。找出那个只出现了一次的元素。
说明：
你的算法应该具有线性时间复杂度。 你可以不使用额外空间来实现吗？
示例 1:
输入: [2,2,1]
输出: 1
"""
def single_number(nums):
result = 0
for n in nums:
result = result ^ n
return result
ipt = [4, 1, 2, 1, 2]
print(single_number(ipt))
|
# coding=utf-8
class Node:
def __init__(self, data):
self.data = data
self.nextNode = None
def __del__(self):
del self.data
del self.nextNode
class LinkedList:
def __init__(self, iterable=None):
self._firtNode = None
self._lastNode = None
self._len... |
class LinkedList:
def __init__(self, item):
self.item = item
self.next = None
def set_next(self, node):
self.next = node
def print_list(list):
i = 0
while list and i < 20:
print(list.item, end="")
if list.next:
print(" -> ", end="")
i += 1
... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
# Getting current date and time
"""
Created on Tue Jan 10 16:02:50 2017
@author: Creative
"""
from datetime import datetime
# below command shows whole date and time
now = datetime.now()
print("\n")
print(now)
print("\n")
# getting cammands on date
print("DATE : " + str(... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
#String accessibilty and storing
"""
Created on Tue Jan 10 11:52:53 2017
@author: Creative
"""
name = "Kiran Kumar"
age = "19"
# here above kiran kumar and 19 are string
# now access by index
print(name[0] + " has age " + age[1]) |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
# Define variable and print a variable.
"""
Created on Tue Jan 10 09:38:48 2017
@author: Kiran Kumar
"""
my_var = 5
print(my_var)
a = True
b = False
print(a)
# here below we define function span Python is systematic language
def span():
eggs = 12
return eggs
p... |
#!/bin/python3
# Multiples of 3 and 5
# If we list all the natural numbers below 10 that are multiples of 3 or 5,
# we get 3, 5, 6 and 9. The sum of these multiples is 23.
# Find the sum of all the multiples of 3 or 5 below 1000.
import sys
def calc_sum(k):
n3 = (k-1) // 3
n5 = (k-1) // 5
n15 = (k-1) //... |
num_01 = int(input("Please input 1 integer number : "))
num_02 = int(input("Please input 2 integer number : "))
print("add two numbers with using sum() function")
print("you can see the result at the next line")
print("sum of 2 numbers ({}, {})'s sum result = {}".format(num_01, num_02, sum(num_01, num_02)))
|
import sys
def sqr(x):
return x * x
def main(n):
x = 1
for i in range(1, n):
y = sqr(x) + 1
print("sqr(%d) + 1 = %d" % (x, y))
x = y
if __name__ == '__main__':
n = int(sys.argv[1])
main(n)
|
import queue
import time
class Node:
def __init__( self, state, parent, direction, depth, cost ):
# Contains the state of the node
self.state = state
# Contains the node that generated this node
self.parent = parent
# Contains the operation that generated this node ... |
#while和else结合使用简单介绍
a=1
while a == 1:
print("a==1")
a = a + 1
else:
print("a != 1")
print(a)
#简单语句组(若while循环体中只有一个语句，则可和while写在同一行)
a=1
while a == 1:a = a + 1
else:
print("a != 1")
print(a)
#break:跳出整个循环体
for i in range(1,10):
if i == 5:
break
print(i)
#continu:跳出当前循环而费整个循环体... |
"""
分段函数求值
3x-5 （x>1）
f(x) = x+2 (-1<=x<=1)
5x +3 (x<-1)
"""
#分支结构
#x = -2
#if x > 1:
# y = 3*x-5
#elif x < -1:
# y = 5*x+3
#else:
# y = x+2
#print(y)
def calculate(x):
if x > 1:
y = 3*x-5
elif x < -1:
y = 5*x+3
else:
y = x+2
print(y)
calculate(2)
|
# for i in range(2,5):
# print(i)
def fib(n):
if n ==1:
return [0]
if n == 2:
return [0,1]
if n >= 3:
fibs = [0,1]
print(fibs[-1])
print(fibs[-2])
for i in range(3,n):
fibs = fibs.append(fibs[-2]+fibs[-1])
return fibs
print(fib(3)... |
"""
unnitest测试框架
--单元测试覆盖类型：
--语句覆盖
--条件覆盖
--判断覆盖
--路径覆盖
--框架介绍
--编写规范
--测试模块首先import unittest
--测试类必须继承 unittest.TestCase
--测试方法必须以“test_”
"""
import unittest
#定义测试类并继承unittest测试类
class TestStringMethods(unittest.TestCase):
#setUp 和 tearDown 方法是在每条测试用例的前后分别进行调用的方法
def setUp(self) -> None:... |
def fibonacci_generator(n=None):
if n is not None and n <= 0:
raise ValueError("parameter 'n' must be positive")
first = 0
second = 1
if n == 1:
yield first
yield first
yield second
if n is not None:
counter = 3
while counter <= n:
result = firs... |
months_array = {
1: 'January',
2: 'February',
3: 'March',
4: 'April',
5: 'May',
6: 'June',
7: 'July',
8: 'August',
9: 'September',
10: 'October',
11: 'November',
12: 'December'
}
def get_month_name(month):
return months_array[month]
def get_elem(arr, el):
for ... |
#Topic:Logistic Regression - Simulated Data
#-----------------------------
#libraries
from sklearn.datasets import make_classification
from matplotlib import pyplot as plt
from sklearn.linear_model import LogisticRegression
from sklearn.model_selection import train_test_split
from sklearn.metrics import confusion_matr... |
#Missing Data
#-----------------------------
#%Imputation
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
sleep1 = pd.read_csv('sleep.csv')
sleep1.head()
sleep2 = pd.read_csv('https://raw.githubusercontent.com/dupadhyaya/sipPython/master/data/sleep.csv')
sleep2
sleep = sle... |
f#Matplot Lib -Features
#-----------------------------
#%
import matplotlib.pyplot as plt
import numpy as np
x = np.linspace(0,10,1000)
x
#just the plot
plt.plot(x, np.sin(x))
#Axis - manual
plt.plot(x, np.sin(x))
plt.xlim(-1, 15)
plt.ylim(-1.5, 1.5)
#Axis - Reverse
plt.plot(x, np.sin(x))
plt.xlim(-1, 11)
plt.ylim(... |
# -*- coding: utf-8 -*-
#binomial distribution
#The binomial distribution model deals with finding the probability of success of an event which has only two possible outcomes in a series of experiments. For example, tossing of a coin always gives a head or a tail. The probability of finding exactly 3 heads in tossing a... |
#Dates - Range
#-----------------------------
#https://towardsdatascience.com/playing-with-time-series-data-in-python-959e2485bff8
import pandas as pd
import numpy as np
dtrange1D = pd.date_range('2019-1-1', '2019-7-11', freq='D')
dtrange1D
dtrange1D.min()
#The resulting DatetimeIndex has an attribute freq with a ... |
#Topic:
#-----------------------------
# Import the modules
import sys
import random
ans = True
#This generates a random number and prints a different value every time
#exit when value entere
while ans:
question = input("Enter a number (1-8): (press enter to quit) ")
answers = random.randint(1,8)
ans = True... |
# -*- coding: utf-8 -*-
"""
Created on Tue Jun 4 08:00:01 2019 @author: du
"""
"""
Test for an education/gender interaction in wages
==================================================
Wages depend mostly on education. Here we investigate how this dependence
is related to gender: not only does gender create an offset... |
#Seaborn Heatmap
#-----------------------------
#%https://seaborn.pydata.org/generated/seaborn.heatmap.html
import numpy as np
np.random.seed(0)
import seaborn as sns
sns.set()
uniform_data = np.random.rand(10, 12)
ax = sns.heatmap(uniform_data)
#Change the limits of the colormap:
ax = sns.heatmap(uniform_data, vmi... |
#Topic: Association Rule Analysis
#-----------------------------
#libraries
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
#creating sample data
TID =[1,2,3,4,6,7,8,9]
items = [['I1,I2,I5'], ['I2,I4'], ['I2,I3'], ['I1,I2,I4'], ['I1,I3'], ['I2,I3'],['I1,I2,I3,I5'], ['I1,I2,I3']]
items
item1 = '... |
#Seaborn - CountPlot
#-----------------------------
#%https://seaborn.pydata.org/generated/seaborn.countplot.html
import seaborn as sns
sns.set(style="darkgrid")
titanic = sns.load_dataset("titanic")
ax = sns.countplot(x="class", data=titanic)
#values
ax = sns.countplot(x="class", hue="who", data=titanic)
#horiz
ax =... |
# -*- coding: utf-8 -*-
#Frozen Set
#-----------------------------
#%
#The frozenset() method returns an immutable frozenset object initialized with elements from the given iterable. While elements of a set can be modified at any time, elements of frozen set remains the same after creation.
#Due to this, frozen sets c... |
# -*- coding: utf-8 -*-
#Tuples - collection, ordered, unchangeable/ unmutatble, like list, round bracket
tuple1 = (1,2, 'SIP', 'Dhiraj', True)
tuple1
#everying like list except changes
tuple1[0] = 99
#access
tuple1[0]
for i in tuple1 : print(i)
if 'Dhiraj' in tuple1 : print('Dhiraj is present in tuple')
if 'Kouna... |
# -*- coding: utf-8 -*-
#
#-----------------------------
#%
# -*- coding: utf-8 -*-
#Python has excellent libraries for data visualization. A combination of Pandas, numpy and matplotlib can help in creating in nearly all types of visualizations charts. In this chapter we will get started with looking at some simple ch... |
#Boxplots and paired differences
import matplotlib.pyplot as plt
#data
from pydataset import data
mtcars = data('mtcars')
mtcars.head()
#Example 1
plt.figure()
mtcars.boxplot(column=['mpg'])
plt.yticks(5)
plt.show();
plt.figure()
mtcars.boxplot(column=['mpg','wt'])
plt.yticks(5)
plt.show();
#Different dataset
impo... |
#Topic: Clustering - Simple and Data Camp Site
#-----------------------------
#https://www.datacamp.com/community/tutorials/k-means-clustering-python
#https://scikit-learn.org/stable/modules/clustering.html
X = [1,1,1,2,1,2,1,2]
Y = [4,2,4,1,1,4,1,1]
Z = [1,2,2,2,1,2,2,1]
import numpy as np
import pandas as pd
import ... |
#Topic:US Crime
#-----------------------------
#libraries
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
url = "https://raw.githubusercontent.com/guipsamora/pandas_exercises/master/04_Apply/US_Crime_Rates/US_Crime_Rates_1960_2014.csv"
crime = pd.read_csv(url)
crime.head()
crime.info()
# pd.to_... |
# -*- coding: utf-8 -*-
#Matplot Styling
#-----------------------------
#Python - Chart Styling
#The charts created in python can have further styling by using some appropriate methods from the libraries used for charting. In this lesson we will see the implementation of Annotation, legends and chart background.
#Addi... |
#Label in Scatter Plot
#-----------------------------
#%
import matplotlib.pyplot as plt
import numpy as np
plt.clf()
# using some dummy data for this example
xs = np.random.normal(loc=4, scale=2.0, size=10)
ys = np.random.normal(loc=2.0, scale=0.8, size=10)
plt.scatter(xs,ys)
# zip joins x and y coordinates in pairs
f... |
#Topic: Apple Data
#-----------------------------
#libraries
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
%matplotlib inline
url = 'https://raw.githubusercontent.com/guipsamora/pandas_exercises/master/09_Time_Series/Apple_Stock/appl_1980_2014.csv'
apple = pd.read_csv(url)
apple.head()
app... |
# -*- coding: utf-8 -*-
#Different ways of importing libraries
Z#Python comes with built in functions like
x=[1, 4.5, 9]
print(x)
abs(x)
int(x[1]) #takes only 1 value
len(x)
#they are limited in functionality
#need more functions - this comes from libraries or modules
#Modules define functions, classes, variables that... |
#Topic: Linear Regression Stock Market Prediction
#-----------------------------
#libraries
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
Stock_Market = {'Year': [2017,2017,2017, 2017,2017,2017,2017,2017, 2017,2017,2017,2017,2016,2016,2016,2016,2016,2016,2016,2016,2016, 2016,2016,2016], 'Mont... |
#Topic: Statistics - Covariance
#-----------------------------
#Covariance provides the a measure of strength of correlation between two variable or more set of variables. The covariance matrix element Cij is the covariance of xi and xj. The element Cii is the variance of xi.
#If COV(xi, xj) = 0 then variables are unco... |
# -*- coding: utf-8 -*-
# Interfaces in the plots
#-----------------------------
#%
#library
import numpy as np
import matplotlib.pyplot as plt
x = np.linspace(0, 10, 100)
fig = plt.figure() #plot Figure
#MATLAB interface
#create 1st panel
#(row, column, panel)
plt.subplot(2, 1, 1)
plt.plot(x, np.sin(x))
#create 2n... |
#Topic: Correlation, Covariance,
#-----------------------------
#libraries
#The difference between variance, covariance, and correlation is:
#Variance is a measure of variability from the mean
#Covariance is a measure of relationship between the variability of 2 variables - covariance is scale dependent because it is... |
#Topic: Frozen Sets
#-----------------------------
#The frozenset() method returns an immutable frozenset object initialized with elements from the given iterable.
#syntax : frozenset([iterable])
#Frozen set is just an immutable version of a Python set object. While elements of a set can be modified at any time, eleme... |
#Topic: Join
#-----------------------------
#libraries
numList = ['1', '2', '3', '4']
seperator = ', '
print(seperator.join(numList))
numTuple = ('1', '2', '3', '4')
print(seperator.join(numTuple))
s1 = 'abc'
s2 = '123'
""" Each character of s2 is concatenated to the front of s1"""
print('s1.join(s2):', s1.join(s... |
#Topic: Numpy Histogram
#-----------------------------
#Compute the histogram of a set of data.
#https://docs.scipy.org/doc/numpy/reference/generated/numpy.histogram.html
#NumPy has a numpy.histogram() function that is a graphical representation of the frequency distribution of data. Rectangles of equal horizontal size... |
#String Operations
# Sets
S1 = {1,2,3}
type(S1)
S1
S2 = set()
type(S2)
S2.add(4)
S2.add(5)
S2
#Empty Set
S0=set() # {} creates empty dict, not a set
S0
type(S0)
#Simple Set
S1={'apple','banana',1,2}
S1
type(S1)
#convert to List ???
L1=set(S1)
type(L1)
L1
# Set Comprehensions
import string
s = set(string.ascii_lower... |
class Vehiculos():
def __init__(self, marca, modelo):
self.marca=marca
self.modelo=modelo
self.enMarcha=False
self.acelera=False
self.frena=False
def arrancar(self):
self.enMarcha=True
def acelerar(self):
self.acelera=True
def frenar(self):
self.frena=True
def estado(s... |
miTupla=("juan", 13, 1, 1995)
#imprime 1
print(miTupla[2])
miLista=list(miTupla)
# imprime ['juan', 13, 1, 1995]
# los corchetes son de lista
print(miLista)
miTupla2=tuple(miLista)
# imprime ('juan', 13, 1, 1995)
# los parentecis son de tupla
print(miTupla2)
#me da true por que existe en la tupla
print("juan" in... |
def suma( op1, op2 ):
print("El resultado de la suma es:", str( op1 + op2 ))
def restar( op1, op2 ):
print("El resultado de la resta es:", str( op1 - op2 ))
def multiplicar( op1, op2 ):
print("El resultado de la multiplicacion es:", str( op1 * op2 ))
def dividir( op1, op2 ):
print("El resultado de la divis... |
from tkinter import *
raiz=Tk()
miFrame=Frame(raiz, width=1200, height=600)
miFrame.pack()
#aca estoy posicionando los elementos
cuadroNombre=Entry(miFrame)
cuadroNombre.grid(row=0, column=1)
cuadroApellido=Entry(miFrame)
cuadroApellido.grid(row=1, column=1)
cuadroDireccón=Entry(miFrame)
cuadroDireccón.grid(row=2,... |
import pickle
class Persona():
def __init__(self, nombre, genero, edad):
self.nombre = nombre
self.genero = genero
self.edad = edad
print(f"Se ha creado una persona nueva con el nombre de {self.nombre}")
# sirve para convertir en cadena de texto
# la informacion de un objeto
def __str__(se... |
import sqlite3
# inicio la conexion
miConexion=sqlite3.connect("PrimeraBase")
# creo el cursor
miCursor=miConexion.cursor()
# aca se mete la intruccion sql de crear tabla
#-miCursor.execute("CREATE TABLE PRODUCTOS (NOMBRE_ARTICULO VARCHAR(50), PRECIO INTEGER, SECCION VARCHAR(20))")
# aca inserto valores en la tabla ... |
class Coche():
# constructor de clase
def __init__(self):
# encapsulo las variables
self.__largoChasis=250
self.__anchoChasis=120
self.__enMarcha=False
self.__ruedas=4
def arrancar(self,arrancar):
# le cambio para lo que le pase por parametro
# se lo va a insertar como valor en ... |
from bs4 import BeautifulSoup
import urllib.request
from sys import argv
print(""" .|'''.|
||.. ' .... ... .. .... ... ... .... ... ..
''|||. .| '' ||' '' '' .|| ||' || .|...|| ||' ''
. '|| || || .|' || || | || || ... |
from utils import *
assignments = []
def assign_value(values, box, value):
"""
Please use this function to update your values dictionary!
Assigns a value to a given box. If it updates the board record it.
"""
# Don't waste memory appending actions that don't actually change any values
if valu... |
#1
def fatorial(n):
if(n < 0):
raise Exception('Menor que zero')
if(n == 0 or n == 1):
return 1
return n * fatorial(n - 1)
#2
def somatorio(n):
if(n == 0):
return 0
if(n > 0):
return n + somatorio(n-1)
if(n < 0):
return n + somatorio(n+1)
#3
def fibonacc... |
# All in-game items
class Weapon:
def __init__(self):
raise NotImplementedError("Do not create raw Weapon objects.")
def __str__(self): return self.name
class Rock(Weapon):
def __init__(self):
self.name = "Rock"
self.description = "A fist-sized rock, best used against heads."
self.damage = 5
self.value ... |
def product(a, b):
if a < 0:
a *= -1
elif b < 0:
b *= -1
result = a * b
print("Product of", a, "and", b, "equals", result)
return result
def pre_product(a, b):
product_result = product(a,b)
if a < 0 and b < 0:
product_result *= -1
return product_result
|
'''
Given an undirected graph with n nodes labeled 1..n. Some of the nodes are already connected. The i-th edge connects nodes edges[i][0] and edges[i][1] together. Your task is to augment this set of edges with additional edges to connect all the nodes. Find the minimum cost to add new edges between the nodes such tha... |
def twoSum(nums, target):
"""
:type nums: List[int]
:type target: int
:rtype: List[int]
"""
seen = {}
for i in range(len(nums)):
if target - nums[i] in seen:
return [i, seen[target-nums[i]]]
else:
seen[nums[i]] = i
return 0
nums = [2, 7, 11, ... |
def containsDuplicate(nums):
"""
:type nums: List[int]
:rtype: bool
"""
unique = set(nums)
return len(unique) != len(nums)
array = [1,1,1,3,3,4,3,2,4,2]
print(containsDuplicate(array))
|
'''
A linked list is given such that each node contains an additional random pointer which could point to any node in the list or null.
Return a deep copy of the list.
Example 1:
Input:
{"$id":"1","next":{"$id":"2","next":null,"random":{"$ref":"2"},"val":2},"random":{"$ref":"2"},"val":1}
Explanation:
Node 1's va... |
def gradingStudents(grades):
newgrade=[]
for i in range(len(grades)):
if grades[i] > 40 and grades[i] <=100:
if ((((grades[i]//5)+1)*5)-grades[i]< 3 ):
newgrade.append(((grades[i]//5)+1)*5)
else:
newgrade.append(grades[i])
else:
... |
#!/usr/bin/env python
"""
Data wrangling tool for quickly selecting a winner from Habitica Challenge CSV
data.
"""
# Ensure backwards compatibility with Python 2
from __future__ import (
absolute_import,
division,
print_function,
unicode_literals)
from builtins import *
import numpy as np
import os
imp... |
# a*3 each 1 year
# b*2 each 1 year
args = input().split(' ')
a = int(args[0])
b = int(args[1])
years = 0
while a <= b:
a *= 3
b *= 2
years +=1
print(years)
|
# -*- coding: utf-8 -*-
"""
A = {1, 8, 2,4}
B = {4, 9, 2, 7}
print(A)
print(B)
print(A|B)
print(A&B)
print(A-B)
print(A^B)
thisdict = {
"brand": "Ford",
"model": "Mustang",
"year": 1964
}
print(thisdict['model'])
import numpy as np
out_arr_1 = np.random.randint(2, 10, 8)
print(out_arr_1);
out_ar... |
def make_album(artist_name, album_title, number=None):
album = {
"artist".title(): artist_name.title(),
"album".title(): album_title.title()
}
if number:
album['number'.title()] = number
return album
one = make_album('koko', 'wheels on the bus')
two = make_album('bobo... |
class User:
def __init__(self, first_name, last_name, email, title, age, city):
self.first_name = first_name
self.last_name = last_name
self.email = email
self.title = title
self.age = age
self.city = city
self.login_attempts = 0
def describe_user(self):
... |
#D. Given a list of numbers, return a list where
# all adjacent == elements have been reduced to a single element,
# so [1, 2, 2, 3] returns [1, 2, 3]. You may create a new list or
# modify the passed in list.
test1 = [1, 2, 2, 3]
test2 = [2, 2, 3, 3, 3]
test3 = []
def remove_adjacent(lists):
n=0
w... |
#Import and dependencies
from selenium import webdriver
import time
from selenium.webdriver.common.keys import Keys
#Here the process of automation is achieved by using the framework Selenium.
#Selenium is a portable framework for testing and automating web applications web applications
#Path to chromedriver.... |
# Initializes people set to 69
people = 69
# Initializes cars set to 70
cars = 70
# Initializes buses set to 71
buses = 71
# If cars > people (i.e., if cars > people evaluates to true)
if cars > people:
# Print the string
print "We should take the cars."
# Otherwise (if cars > people evaluates to false), if ca... |
# Imports argv module from sys
from sys import argv
# Sets argv to script and filename (i.e. these must be passed when the script is run)
script, filename = argv
# Prints the string with the raw data fromatter and filename taken from argv inserted
print "We're going to erase %r." % filename
# Prints the string
print ... |
# Defines constructor Parent
class Parent(object):
# Defines function override taking parameter self (i.e., Parent)
def override(self):
# Prints string when called
print "PARENT override()"
# Defines constructor Child which inherits from Parent
class Child(Parent):
# Defines function over... |
# Defines constructor Parent
class Parent(object):
# Defines parent.override()
def override(self):
# Prints string when called
print "PARENT override()"
# Defines parent.implicit()
def implicit(self):
# Prints string when called
print "PARENT implicit()"
# Defines ... |
import pickle
from heapq import heappush, heappop
from time import sleep
# import numpy as np
# --------------------------------------
# --------------------------------------
# SLIDING PUZZLE IMPORTS (REPEATED CODE)
# --------------------------------------
# --------------------------------------
def tuple_puzzle_t... |
class Node(object):
def __init__(self, value):
self.children = [None]*2
self.val = value
def getValue(self):
return self.val
def getLeft(self):
return self.children[0]
def getRight(self):
return self.children[1]
def setLeft(self, n):
self.children[... |
#!/usr/bin/python
import RPi.GPIO as GPIO
import os # needed for system callback
import Queue
import time
SWITCH1 = 17
SWITCH2 = 27
LED1 = 22
GPIO.setmode(GPIO.BCM)
GPIO.setup(17, GPIO.IN, pull_up_down = GPIO.PUD_UP)
GPIO.setup(27, GPIO.IN, pull_up_down = GPIO.PUD_UP)
GPIO.setup(22, GPIO.OUT)
## The Queue modul... |
inp = """ I'm sure that the shells are seashore shells.
So if she sells seashells on the seashore,
The shells that she sells are seashells I'm sure.
She sells seashells on the seashore;"""
#print(len(inp))
coni = inp.split("\n")
#print(coni)
length = []
for i in coni:
length.append(len(i))
justlen... |
file_name = open('she.txt','r')
lines = file_name.readlines()
new = []
for l in lines:
new.append(l.split(" "))
sl = []
for i in range(len(new)):
for j in range(len(new[i])):
o = new[i].pop()
print(o)
new[i].insert(j,o)
print(new)
|
from pymysql import connect
import os
connection = connect(
host = os.getenv('MYSQL_HOST'),
user = os.getenv('MYSQL_USER'),
password = os.getenv('MYSQL_PASSWORD'),
db = os.getenv('MYSQL_DATABASE'),
charset = 'utf8mb4'
)
loop = 0
loop1 = 0
loop2 = 0
while loop == 0:
try:
menu = int(inpu... |
import itertools
def powerset(iterable):
"powerset([1,2,3]) --> () (1,) (2,) (3,) (1,2) (1,3) (2,3) (1,2,3)"
s = list(iterable)
return itertools.chain.from_iterable(
itertools.combinations(s, r)
for r in range(len(s)+1)
)
def baseline(list_):
p = powerset(list_)
next(p)
ret... |
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