CoCalc -- tryStuff.ipynb

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Image: ubuntu2004-dev

Kernel: Python 3 (system-wide)

In [2]:

import nltk
import numpy as np
g = np.meshgrid(np.arange(10)-5, np.arange(10)-5)
positions = np.append(g[0].reshape(-1,1),g[1].reshape(-1,1),axis=1)
print(g[1])
location = (0,2,1)
print(location[0], location[2])

[[-5 -5 -5 -5 -5 -5 -5 -5 -5 -5]
 [-4 -4 -4 -4 -4 -4 -4 -4 -4 -4]
 [-3 -3 -3 -3 -3 -3 -3 -3 -3 -3]
 [-2 -2 -2 -2 -2 -2 -2 -2 -2 -2]
 [-1 -1 -1 -1 -1 -1 -1 -1 -1 -1]
 [ 0  0  0  0  0  0  0  0  0  0]
 [ 1  1  1  1  1  1  1  1  1  1]
 [ 2  2  2  2  2  2  2  2  2  2]
 [ 3  3  3  3  3  3  3  3  3  3]
 [ 4  4  4  4  4  4  4  4  4  4]]
0 1

In [2]:

# import the necessary libraries
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd

import seaborn as sns

# from celluloid import Camera
from sklearn.compose import ColumnTransformer

from sklearn.model_selection import train_test_split
from sklearn.preprocessing import StandardScaler

# Dance to import our logit model
import os
import sys
module_path = os.path.abspath(os.path.join('.'))
sys.path.append(module_path)
# from logistic_regression import LogisticRegression

In [2]:

import torch
from torch import nn
from torchvision import datasets
from torchvision.transforms import ToTensor

In [1]:

sunny_to = {"sunny":1/2, "cloudy":1/3,"rainy":1/6}
cloudy_to = {"sunny":1/3, "cloudy":1/3,"rainy":1/3}
rainy_to = {"sunny":2/3, "cloudy":1/6,"rainy":1/6}
state = {"sunny":1, "cloudy":0,"rainy":0}
weathers = ["sunny","cloudy","rainy"]
for _ in range(10):
  next_state = {}
  for weather in weathers:
    next_state[weather] = (sunny_to[weather] * state["sunny"] + cloudy_to[weather] * state["cloudy"] + rainy_to[weather] * state["rainy"])
  state = next_state
  print(state)

{'sunny': 0.5, 'cloudy': 0.3333333333333333, 'rainy': 0.16666666666666666}
{'sunny': 0.4722222222222222, 'cloudy': 0.3055555555555556, 'rainy': 0.2222222222222222}
{'sunny': 0.4861111111111111, 'cloudy': 0.2962962962962963, 'rainy': 0.2175925925925926}
{'sunny': 0.4868827160493827, 'cloudy': 0.2970679012345679, 'rainy': 0.21604938271604937}
{'sunny': 0.48649691358024694, 'cloudy': 0.2973251028806584, 'rainy': 0.21617798353909465}
{'sunny': 0.48647548010973934, 'cloudy': 0.29730366941015085, 'rainy': 0.21622085048010972}
{'sunny': 0.4864861968449931, 'cloudy': 0.29729652491998165, 'rainy': 0.21621727823502512}
{'sunny': 0.4864867922191738, 'cloudy': 0.29729712029416244, 'rainy': 0.21621608748666357}
{'sunny': 0.4864864945320834, 'cloudy': 0.29729731875222265, 'rainy': 0.2162161867156937}
{'sunny': 0.48648647799391176, 'cloudy': 0.29729730221405093, 'rainy': 0.21621621979203703}

In [3]:

import numpy as np
tm = np.array([[1/2,1/3,2/3], [1/3,1/3,1/6], [1/6,1/3,1/6]])
state = np.array([1,0,0])
for _ in range(10):
  state = tm@state
  print(state)

[0.5        0.33333333 0.16666667]
[0.47222222 0.30555556 0.22222222]
[0.48611111 0.2962963  0.21759259]
[0.48688272 0.2970679  0.21604938]
[0.48649691 0.2973251  0.21617798]
[0.48647548 0.29730367 0.21622085]
[0.4864862  0.29729652 0.21621728]
[0.48648679 0.29729712 0.21621609]
[0.48648649 0.29729732 0.21621619]
[0.48648648 0.2972973  0.21621622]

In [2]:


import sys, pygame
pygame.init()

pygame 1.9.6
Hello from the pygame community. https://www.pygame.org/contribute.html

In [2]:

import sys, pygame
pygame.init()


size = width, height = 320, 240
speed = [2, 2]
black = 0, 0, 0
screen = pygame.display.set_mode(size)
ball = pygame.image.load("intro_ball.gif")
ballrect = ball.get_rect()


while 1:

    for event in pygame.event.get():
        if event.type == pygame.QUIT: sys.exit()

    ballrect = ballrect.move(speed)

    if ballrect.left < 0 or ballrect.right > width:
        speed[0] = -speed[0]

    if ballrect.top < 0 or ballrect.bottom > height:
        speed[1] = -speed[1]


    screen.fill(black)
    screen.blit(ball, ballrect)
    pygame.display.flip()

pygame 1.9.6
Hello from the pygame community. https://www.pygame.org/contribute.html

In [0]: