def __init__(self,
goalie_pos_start,
GRID_NUM_HEIGHT=8,
GRID_NUM_WIDTH=5,
GRID_SIZE=75,
draw_scene=True,
gridworld=False):
self.goalie_pos = goalie_pos_start
self.GRID_NUM_HEIGHT = GRID_NUM_HEIGHT
self.GRID_NUM_WIDTH = GRID_NUM_WIDTH
self.GRID_SIZE = GRID_SIZE
self.WIDTH = self.GRID_SIZE * self.GRID_NUM_WIDTH
self.HEIGHT = self.GRID_SIZE * self.GRID_NUM_HEIGHT
self.num_interations = 0
self.draw_scene = draw_scene
self.gridworld = gridworld
self.ball_radius = GRID_SIZE / 2
self.reset()
if self.draw_scene:
stddraw.setXscale(0, self.WIDTH)
stddraw.setYscale(0, self.HEIGHT)
stddraw.setCanvasSize(self.WIDTH, self.HEIGHT)
time.sleep(1)
def canvas():
# set the dimensions of the game grid
global grid_h, grid_w
grid_h, grid_w = 18, 12
# set the size of the drawing canvas
canvas_h, canvas_w = 40 * grid_h, 60 * grid_w
stddraw.setCanvasSize(canvas_w, canvas_h)
# set the scale of the coordinate system
stddraw.setXscale(-0.5, grid_w + 4.5)
stddraw.setYscale(-0.5, grid_h - 0.5)
# display a simple menu before opening the game
display_game_menu(grid_h, grid_w + 5)
def main():
n = int(sys.argv[1]) # number of biased coin flips per trial
p = float(sys.argv[2]) # heads with probability p
trialCount = int(sys.argv[3]) # number of trials
histogram = Histogram(n + 1)
for trial in range(trialCount):
heads = stdrandom.binomial(n, p)
histogram.addDataPoint(heads)
stddraw.setCanvasSize(500, 200)
stddraw.clear(stddraw.LIGHT_GRAY)
histogram.draw()
stddraw.show()
def main():
n = int(sys.argv[1]) # number of biased coin flips per trial
p = float(sys.argv[2]) # heads with probability p
trialCount = int(sys.argv[3]) # number of trials
histogram = Histogram(n + 1)
for trial in range(trialCount):
heads = stdrandom.binomial(n, p)
histogram.addDataPoint(heads)
stddraw.setCanvasSize(500, 200)
stddraw.clear(stddraw.LIGHT_GRAY)
histogram.draw()
stddraw.show()
def main():
w = stdio.readInt()
h = stdio.readInt()
stddraw.setCanvasSize(w, h)
stddraw.setXscale(0, w)
stddraw.setYscale(0, h)
stddraw.setPenRadius(.005)
while not stdio.isEmpty():
x = stdio.readFloat()
y = stdio.readFloat()
p = Point(x, y)
p.draw()
stddraw.show()
def main(): # Test method
grid_h, grid_w = 18, 12
# set the size of the drawing canvas
canvas_h, canvas_w = 40 * grid_h, 60 * grid_w
stddraw.setCanvasSize(canvas_w, canvas_h)
# set the scale of the coordinate system
stddraw.setXscale(-0.5, grid_w + 4.5)
stddraw.setYscale(-0.5, grid_h - 0.5)
obj = Tile(Point(2, 4))
obj.draw()
stddraw.show()
pass
def main():
# Refresh rate (in seconds) for the keyboard.
KEYBOARD_REFRESH_DELAY = 0.01
# Specifies superposition window size.
SUPERPOSITION_RANGE = 2
# Setup the canvas and scale for the keyboard.
stddraw.setCanvasSize(1056, 300)
stddraw.setXscale(0, 1056)
stddraw.setYscale(0, 300)
# Create guitar strings for notes corresponding to the keys in keyboard.
keyboard = 'q2we4r5ty7u8i9op-[=zxdcfvgbnjmk,.;/\' '
notes = []
for i in range(len(keyboard)):
hz = 440 * 2**((i - 24.0) / 12.0)
notes += [guitar_string.create(hz)]
pressed = -1 # index of the pressed key
start = time.clock() # for refreshing the keyboard
while True:
# Check if the user has typed a key; if so, process it, ie, pluck
# the corresponding string.
if stddraw.hasNextKeyTyped():
key = stddraw.nextKeyTyped()
if key in keyboard:
pressed = index(keyboard, key)
guitar_string.pluck(notes[pressed])
if pressed != -1:
# Superimpose samples for keys that are within the
# 2 * SUPERPOSITION_RANGE window centered at the pressed key.
sample = 0.0
b = max(0, pressed - SUPERPOSITION_RANGE)
e = min(len(keyboard) - 1, pressed + SUPERPOSITION_RANGE)
for i in range(b, e + 1):
note = notes[i]
sample += guitar_string.sample(note)
guitar_string.tic(note)
# Play the sample on standard audio.
stdaudio.playSample(sample)
# Display the keyboard with the pressed key in red, every
# KEYBOARD_REFRESH_DELAY seconds.
if time.clock() - start > KEYBOARD_REFRESH_DELAY:
start = time.clock()
draw_keyboard(pressed)
stddraw.show(0.0)
def initialize(karel_world):
"""
:param karel_world: World object that this module can draw
:return: None
"""
global _cell_size
global _font_size_small
global _font_size_large
# determine a reasonable canvas cell and canvas size
na = karel_world.num_avenues
ns = karel_world.num_streets
_cell_size = _calculate_cell_size(na, ns)
cell_dimensions = (_cell_size, _cell_size)
width = _cell_size * (na + 2) + _cell_size // 2
height = _cell_size * ns + (3 * _cell_size) // 4
stddraw.setCanvasSize(int(width), int(height))
stddraw.setXscale(-0.5, float(na) + 2.0)
stddraw.setYscale(-0.5, float(ns) + 0.25)
# choose a reasonable font size
_font_size_small = max(_cell_size // 4, 8)
_font_size_large = max(_cell_size // 3, 11)
# print('cell size is', _cell_size)
# print('font size is', _font_size_small)
# create and scale a Picture object for a beeper
global _beeper_picture
_beeper_picture = Picture(constants.beeper_image_file(_cell_size))
surface = _beeper_picture._surface
_beeper_picture._surface = pygame.transform.scale(surface, cell_dimensions)
# create and scale a Picture object for Karel's error state
global _error_picture
_error_picture = Picture(constants.error_image_file())
surface = _error_picture._surface
_error_picture._surface = pygame.transform.scale(surface, cell_dimensions)
# create, scale, and rotate Picture objects for each of Karel's directions
for angle in [90, 0, 270, 180]:
pic = Picture(constants.karel_image_file(_cell_size))
pic._surface = pygame.transform.scale(pic._surface, cell_dimensions)
pic._surface = pygame.transform.rotate(pic._surface, angle)
_karel_pictures.append(pic)
def main():
WIDTH = 200 # Width of largest disc
HEIGHT = 15 # Height of each disc
n = int(sys.argv[1]) # number of discs
# Set size of window and sale
stddraw.setCanvasSize(4 * WIDTH, (n + 3) * HEIGHT)
stddraw.setXscale(-1, 3)
stddraw.setYscale(0, n + 3)
# Solve the Towers of Hanoi with n discs
hanoi(n)
stddraw.show()
def main():
w = stdio.readInt()
h = stdio.readInt()
stddraw.setCanvasSize(w, h)
stddraw.setXscale(0, w)
stddraw.setYscale(0, h)
stddraw.setPenRadius(.005)
tour = Tour()
while not stdio.isEmpty():
x = stdio.readFloat()
y = stdio.readFloat()
p = Point(x, y)
tour.insertSmallest(p)
stdio.writef('Tour distance = %f\n', tour.distance())
stdio.writef('Number of points = %d\n', tour.size())
tour.draw()
stddraw.show()
def drawBoard(x, y):
stddraw.setCanvasSize(600, 750)
stddraw.setXscale(0, x)
stddraw.setYscale(0, y + 3)
stddraw.clear(stddraw.WHITE)
#Draw the vertical lines
for i in range(x + 1):
stddraw.line(i / 1.5, 1, i / 1.5, y + 1)
#Draw the horizontal lines
for i in range(y + 1):
stddraw.line(0, i, x / 1.5, i)
drawScore(x, y)
drawLogo(x, y)
drawTotalScore(x, y, 0)
def main():
r = Rectangle(0, 0, 4, 6)
r1 = Rectangle(1, 1, 10, 27)
r2 = Rectangle(3, 4, 3, 3)
print(r2.intersects(r))
print(r2.contains(r))
print(r2.contains(r2))
print(r1.contains(r))
print(r1.contains(r2))
print(r.contains(r1))
#手工设置画布,否则要判断很多
stddraw.setCanvasSize(1000, 1000)
stddraw.setXscale(-17, 17)
stddraw.setYscale(-17, 17)
r.draw()
r1.draw()
r2.draw()
stddraw.show()
def main():
n = int(sys.argv[1])
p = float(sys.argv[2])
trials = int(sys.argv[3])
t = int(sys.argv[4])
q = evaluate(n, p, trials)
stdio.writeln(q)
norm = exTimes(n, p, trials, t)
phi = stdarray.create1D(n + 1, 0.0)
stddev = math.sqrt(n) / 2.0
for i in range(n + 1):
phi[i] = gaussian.pdf(i, n / 2.0, stddev)
stddraw.setCanvasSize(1000, 400)
stddraw.setYscale(0, 1.1 * max(max(norm), max(phi)))
stdstats.plotBars(norm)
stdstats.plotLines(phi)
stddraw.show()
def draw_map(a):
# draws and displays a map based on a 2D array, a,
# using the max and min to set the grayscale
amin = find_min(a)
amax = find_max(a)
stddraw.setXscale(-10, len(a[0]) + 10)
stddraw.setYscale(-5, len(a) + 5)
stddraw.setCanvasSize(int(512*1.5), int(512*len(a)/len(a[0])*1.5))
m = 255 / (amax - amin)
b = -m*amin
for i in range(len(a)):
for j in range(len(a[i])):
value = int(m*a[i][j] + b)
# print(a[i][j], value)
gray = Color(value, value, value)
stddraw.setPenColor(gray)
stddraw.filledRectangle(j, len(a) - i, 1, 1)
def main():
R = 3
stddraw.setXscale(-5*R,5*R)
stddraw.setYscale(-5*R,5*R)
stddraw.setCanvasSize(700,700)
stddraw.circle(0,0,R)
centerPointArray1 = centers(0,0,R)
# stddraw.setPenColor(stddraw.RED)
# for i in range(-6*R,6*R):
# for j in range(-6*R,6*R):
# stddraw.line(i,j,i,(6*R)-j)
# stddraw.line(i, j, (6*R)-i, j)
# stddraw.setPenColor(stddraw.BLACK)
for i in range(6):
stddraw.circle(centerPointArray1[i][0], centerPointArray1[i][1], R)
stddraw.show(50)
for i in range(6):
centerPointArray2 = centers(centerPointArray1[i][0], centerPointArray1[i][1], R)
for j in range(6):
stddraw.circle(centerPointArray2[j][0], centerPointArray2[j][1], R)
# stddraw.picture('python.png' ,centerPointArray2[j][0], centerPointArray2[j][1] )
for k in range(6):
centerPointArray3 = centers(centerPointArray2[k][0], centerPointArray2[k][1], R)
for p in range(6):
stddraw.circle(centerPointArray3[p][0], centerPointArray3[p][1], R)
# stddraw.picture('python.png', centerPointArray3[p][0], centerPointArray3[p][1])
stddraw.show(15)
# for i in range(6):
# centerPointArray3 = centers(centerPointArray2[i][0], centerPointArray2[i][1], R)
# for j in range(6):
# stddraw.circle(centerPointArray3[j][0], centerPointArray3[j][1], R)
# stddraw.show(50)
stddraw.show()
import random
import sys
import stddraw
from rectangle import Rectangle
# n = eval(sys.argv[1])
# lo = eval(sys.argv[2]) #为保持画布大小，lo和hi取值，2，6
# hi = eval(sys.argv[3])
n = 3
lo = 2 #为保持画布大小，lo和hi取值，2，6
hi = 6
stddraw.setCanvasSize(1000, 1000)
stddraw.setXscale(-6, 6)
stddraw.setYscale(-6, 6)
i = 0
r = []
while i < n:
x = random.randint(-3, 3)
y = random.randint(-3, 3)
width = random.randint(lo, hi)
height = random.randint(lo, hi)
r.append(Rectangle(x, y, width, height))
i += 1
area = 0
per = 0
for t in r:
MAX = 255
# n = int(sys.argv[1])
# xc = float(sys.argv[2])
# yc = float(sys.argv[3])
# size = float(sys.argv[4])
n = 512
xc = -.5
yc = 0
size = 2
pic = Picture(n, n)
for col in range(n):
for row in range(n):
x0 = xc - (size / 2) + (size * col / n)
y0 = yc - (size / 2) + (size * row / n)
z0 = complex(x0, y0)
gray = MAX - mandel(z0, MAX)
color = Color(gray, gray, gray)
pic.set(col, n - 1 - row, color)
stddraw.setCanvasSize(n, n)
stddraw.picture(pic)
stddraw.show()
#-----------------------------------------------------------------------
# python mandelbrot.py 512 -.5 0 2
# python mandelbrot.py 512 .1015 -.633 .01
# distribution function, thereby allowing easy comparison of the
# experimental results to the theoretically predicted results.
n = int(sys.argv[1])
trials = int(sys.argv[2])
freq = stdarray.create1D(n+1, 0)
for t in range(trials):
heads = stdrandom.binomial(n, 0.5)
freq[heads] += 1
norm = stdarray.create1D(n+1, 0.0)
for i in range(n+1):
norm[i] = 1.0 * freq[i] / trials
phi = stdarray.create1D(n+1, 0.0)
stddev = math.sqrt(n)/2.0
for i in range(n+1):
phi[i] = gaussian.pdf(i, n/2.0, stddev)
stddraw.setCanvasSize(1000, 400)
stddraw.setYscale(0, 1.1 * max(max(norm), max(phi)))
stdstats.plotBars(norm)
stdstats.plotLines(phi)
stddraw.show()
#-----------------------------------------------------------------------
# python bernoulli.py 20 100000
def start():
# set the dimensions of the game grid
grid_h, grid_w = 20, 12
# set the size of the drawing canvas
canvas_h, canvas_w = 40 * grid_h, 40 * grid_w
stddraw.setCanvasSize(canvas_w, canvas_h)
# set the scale of the coordinate system
stddraw.setXscale(-0.5, grid_w - 0.5)
stddraw.setYscale(-0.5, grid_h - 0.5)
# create the game grid
grid = GameGrid(grid_h, grid_w)
# create the first tetromino to enter the game grid
# by using the create_tetromino function defined below
current_tetromino = create_tetromino(grid_h, grid_w)
next_tetromino = create_tetromino(grid_h, grid_w)
grid.current_tetromino = current_tetromino
# display a simple menu before opening the game
display_game_menu(grid_h, grid_w)
# main game loop (keyboard interaction for moving the tetromino)
while True:
# check user interactions via the keyboard
if stddraw.hasNextKeyTyped():
key_typed = stddraw.nextKeyTyped()
# if the left arrow key has been pressed
if key_typed == "left":
# move the tetromino left by one
current_tetromino.move(key_typed, grid)
# if the right arrow key has been pressed
elif key_typed == "right":
# move the tetromino right by one
current_tetromino.move(key_typed, grid)
# if the down arrow key has been pressed
elif key_typed == "down":
# move the tetromino down by one
# (causes the tetromino to fall down faster)
current_tetromino.move(key_typed, grid)
# clear the queue that stores all the keys pressed/typed
elif key_typed == "up":
current_tetromino.rotateTetromino()
elif key_typed == "space":
temp = current_tetromino.move("down", grid)
while (temp):
temp = current_tetromino.move("down", grid)
stddraw.clearKeysTyped()
# move (drop) the tetromino down by 1 at each iteration
success = current_tetromino.move("down", grid)
# place the tetromino on the game grid when it cannot go down anymore
if not success:
# get the tile matrix of the tetromino
tiles_to_place = current_tetromino.tile_matrix
# update the game grid by adding the tiles of the tetromino
game_over = grid.update_grid(tiles_to_place)
rowSet = rowsToCheck(tiles_to_place)
grid.rowCheck(rowSet)
columnSet = columnsToCheck(tiles_to_place)
grid.sumCheck(columnSet, current_tetromino)
# end the main game loop if the game is over
if game_over:
break
# create the next tetromino to enter the game grid
# by using the create_tetromino function defined below
current_tetromino = next_tetromino
grid.current_tetromino = current_tetromino
next_tetromino = create_tetromino(grid_h, grid_w)
print("Score = " + str(grid.score))
print("Next tetromino type is: " + next_tetromino.type)
# display the game grid and as well the current tetromino
grid.display()
print("Game over")
pic = Picture()
for col in range(pic.width()):
for row in range(pic.height()):
# Compute pixel color.
x = 1.0 * col / pic.width()
y = 1.0 * row / pic.height()
v = 0.0
for i in range(n):
v += charges[i].potentialAt(x, y)
v = (MAX_GRAY_SCALE / 2.0) + (v / 2.0e10)
if v < 0:
grayScale = 0
elif v > MAX_GRAY_SCALE:
grayScale = MAX_GRAY_SCALE
else:
grayScale = int(v)
color = Color(grayScale, grayScale, grayScale)
pic.set(col, pic.height()-1-row, color)
# Draw the Picture.
stddraw.setCanvasSize(pic.width(), pic.height())
stddraw.picture(pic)
stddraw.show()
#-----------------------------------------------------------------------
# python potential.py < charges.txt
GRID_NUM_HEIGHT = 8
GRID_NUM_WIDTH = 5
GRID_SIZE = 75 # in pixels
WIDTH = GRID_SIZE * GRID_NUM_WIDTH
HEIGHT = GRID_SIZE * GRID_NUM_HEIGHT
#RL constants
EPSILON = 1 # greedy police
ALPHA = 0.5 # learning rate
GAMMA = 1 # discount
ITERS = 1000 #iterations
UPDATE_FREQ = 60 #How often to update environment
stddraw.setXscale(0, WIDTH)
stddraw.setYscale(0, HEIGHT)
stddraw.setCanvasSize(WIDTH, HEIGHT)
agent = rl_agent(
list(range(3)), #STAY,LEFT,RIGHT
GAMMA,
ALPHA,
EPSILON)
agent.init_q_table()
goalie_pos = 3 #randint(0,GRID_NUM_WIDTH-1)
ball_x = randint(0, GRID_NUM_WIDTH - 1)
ball_y = 0
episodes = 0
steps = 0
# Then, over the course of frameCount frames, gradually replace the
# image from sourceFile with the image with the image from targetFile.
# Display to standard draw each intermediate image. The images in the
# files can be in either JPG or PNG formats.
sourceFile = sys.argv[1]
targetFile = sys.argv[2]
n = int(sys.argv[3]) # number of intermediate frames
source = Picture(sourceFile)
target = Picture(targetFile)
width = source.width()
height = source.height()
stddraw.setCanvasSize(width, height)
pic = Picture(width, height)
for t in range(n+1):
for col in range(width):
for row in range(height):
c0 = source.get(col, row)
cn = target.get(col, row)
alpha = float(t) / float(n)
c = blend(c0, cn, alpha)
pic.set(col, row, c)
stddraw.picture(pic)
stddraw.show(1000.0)
stddraw.show()
import sys
import stdio
import random
import stddraw
import picture as p
import pygame
pygame.init()
pygame.mixer.init()
score = 0
number_of_moves = 10
hmatches = []
vmatches = []
stddraw.setCanvasSize(1300, 980)
stddraw.setFontSize(70)
stddraw.setXscale(0.0, 8.999)
stddraw.setYscale(0.0, 9.999)
pic1 = p.Picture("strawberry.png")
pic2 = p.Picture("lemon.png")
pic3 = p.Picture("orange.png")
pic4 = p.Picture("pear.png")
pic5 = p.Picture("grapes.png")
pic6 = p.Picture("watermelon.png")
pic7 = p.Picture("background.png")
pic8 = p.Picture("heart.png")
pic9 = p.Picture("star.png")
pic10 = p.Picture("win.png")
pic11 = p.Picture("lose.png")
v_combo1 = pygame.mixer.Sound('v_combo1.ogg')
v_combo2 = pygame.mixer.Sound('v_combo2.ogg')
v_combo3 = pygame.mixer.Sound('v_combo3.ogg')
v_combo4 = pygame.mixer.Sound('v_combo4.ogg')
# iterations before the Mandelbrot sequence for the corresponding
# complex number grows past 2.0, up to 255.
MAX = 255
n = int(sys.argv[1])
xc = float(sys.argv[2])
yc = float(sys.argv[3])
size = float(sys.argv[4])
pic = Picture(n, n)
for col in range(n):
for row in range(n):
x0 = xc - (size / 2) + (size * col / n)
y0 = yc - (size / 2) + (size * row / n)
z0 = complex(x0, y0)
gray = MAX - mandel(z0, MAX)
color = Color(gray, gray, gray)
pic.set(col, n-1-row, color)
stddraw.setCanvasSize(n, n)
stddraw.picture(pic)
stddraw.show()
#-----------------------------------------------------------------------
# python mandelbrot.py 512 -.5 0 2
# python mandelbrot.py 512 .1015 -.633 .01
import stddraw
stddraw.setCanvasSize(500, 500)
stddraw.setXscale(-1.0, 1.0)
stddraw.setYscale(-1.0, 1.0)
radius = .05
rx = .080
ry = .060
vx = .015
vy = .013
while True:
# Update position
rx = rx + vx
ry = ry + vy
# Clear the background
stddraw.clear(stddraw.LIGHT_GRAY)
# Draw the ball on the screen
stddraw.setPenColor(stddraw.BLACK)
stddraw.filledCircle(rx, ry, radius)
# Copy buffer to screen
stddraw.show(0)
stddraw.pause(20)
def init_stddraw(self, width):
stddraw.setXscale(0, width)
stddraw.setYscale(0, width)
stddraw.setCanvasSize(width, width)
import sys
import stddraw
import stdrandom
from linkedqueue import Queue
from histogram import Histogram
# Accept float command-line arguments lamb and mu. Simulate an
# M/M/1 queue with arrival rate lamb and service rate mu.
lamb = float(sys.argv[1]) # Arrival rate
mu = float(sys.argv[2]) # Service rate
histogram = Histogram(60 + 1)
queue = Queue()
stddraw.setCanvasSize(700, 500)
# Compute time of next arrival.
nextArrival = stdrandom.exp(lamb)
# Compute time of next completed service.
nextService = nextArrival + stdrandom.exp(mu)
# Simulate the M/M/1 queue.
while True:
# Next event is an arrival.
while nextArrival < nextService:
# Simulate an arrival
queue.enqueue(nextArrival)
nextArrival += stdrandom.exp(lamb)
# dpsiI/dt = (1/2)d^2 psiR/dx^2 - V(x) psiR # # Ref: P.B. Visscher, A Fast Explicit Algorithm # for the Time-Dependent Schrodinger Equation, # Computers In Physics, 596–598 (Nov/Dec 1991). # # run: % python Schro1DSplit.py # import stddraw import cmath import math from numpy import * # set the canvas size stddraw.setCanvasSize(500,250); # set the axis scales stddraw.setXscale(0.0, 20.0); stddraw.setYscale(-1.5, 1.5); i = 0 n = 0 NX = 400 ic = 200 dx = 20.0/NX # For stable simulation dt < dx dt = dx*dx/2.0; cc = 0.5*dt/(dx*dx)
import stddraw
test = matrix_to_complex(
generation_test2()
) # если test1 - изменить количество кластеров (2), если test2 - (2), если test3 - (2)
# data_arr = [] # будущий массив с данными
# data_arr = generation(data_arr) # генерация этого массива
data_arr = separation(test)
data_learning = learning_data(
data_arr[1]) # массив с данными для дообучения, разбитый на группы
data_main = data_arr[0] # массив с данными для первого прохода
data = Data(data_main)
print(data_main)
data_sample = data.sample() # выборка данных для иерархической кластеризации
stddraw.setCanvasSize(CANVAS, CANVAS)
stddraw.setYscale(0, CANVAS)
stddraw.setXscale(0, CANVAS)
for i in range(len(data_main)):
stddraw.point(data_main[i][0][0], data_main[i][0][1])
stddraw.show(10000)
for i in range(len(data_sample)):
stddraw.setPenColor(stddraw.GREEN)
stddraw.point(data_sample[i][0][0], data_sample[i][0][1])
stddraw.show(1000)
ierarhic = Ierarhic(data_sample)
clasters = ierarhic.Ierarhic1(
) # иерархическая кластеризация, итог - массив с кластерами
centers_of_clasters = Ierarhic2(clasters) # центры полученных кластеров
# file, and display the image scaled to width w and height h.
fileName = sys.argv[1]
w = int(sys.argv[2])
h = int(sys.argv[3])
source = Picture(fileName)
target = Picture(w, h)
for tCol in range(w):
for tRow in range(h):
sCol = tCol * source.width() // w
sRow = tRow * source.height() // h
target.set(tCol, tRow, source.get(sCol, sRow))
stddraw.setCanvasSize(w, h)
stddraw.picture(target)
stddraw.show()
#-----------------------------------------------------------------------
# python scale.py mandrill.jpg 800 800
# python scale.py mandrill.jpg 600 300
# python scale.py mandrill.jpg 200 400
# python scale.py mandrill.jpg 200 200
# python scale.py mandrill.png 200 200
import sys
import stddraw
import luminance
from picture import Picture
pic = Picture(sys.argv[1])
for col in range(pic.width()):
for row in range(pic.height()):
pixel = pic.get(col, row)
gray = luminance.toGray(pixel)
pic.set(col, row, gray)
stddraw.setCanvasSize(pic.width(), pic.height())
stddraw.picture(pic)
stddraw.show()
import stddraw
from picture import Picture
import sys
from threshold import threshold
if len(sys.argv) < 3:
print """
Usage:
python %s <run #> <frame delay> [<threshold>]
""" % sys.argv[0]
sys.exit()
stddraw.setCanvasSize(640, 480)
run = int(sys.argv[1])
delay = int(sys.argv[2])
tau = None
if len(sys.argv) > 3:
tau = float(sys.argv[3])
for frame in range(200):
pic = Picture('data/run_%d/frame%05d.jpg' % (run, frame))
if tau:
threshold(pic, tau)
stddraw.picture(pic)
stddraw.show(delay)
from charge import Charge
import stddraw
import stdarray
from picture import Picture
from color import Color
a = stdarray.create1D(3)
a[0] = Charge(.4, .6, 50)
a[1] = Charge(.5, .5, -5)
a[2] = Charge(.6, .6, 50)
MAX_GRAY_SCALE = 255
p = Picture()
stddraw.setCanvasSize(p.width(),p.height())
for t in range(100):
# Compute the picture p.
for col in range(p.width()):
for row in range(p.height()):
# Compute pixel color.
x = 1.0 * col / p.width()
y = 1.0 * row / p.height()
v = 0.0
for i in range(3):
v += a[i].potentialAt(x, y)
v = (MAX_GRAY_SCALE / 2.0) + (v / 2.0e10)
if v < 0:
grayScale = 0
elif v > MAX_GRAY_SCALE:
grayScale = MAX_GRAY_SCALE
else:
# and the waved image.
pic1 = Picture(sys.argv[1])
width = pic1.width()
height = pic1.height()
pic2 = Picture(width, height)
# Apply the wave filter.
for col in range(width):
for row in range(height):
cc = col
rr = int(row + 20.0 * math.sin(col * 2.0 * math.pi / 64.0))
if (rr >= 0) and (rr < height):
pic2.set(col, row, pic1.get(cc, rr))
stddraw.setCanvasSize(width, height)
stddraw.picture(pic2)
stddraw.show()
#-----------------------------------------------------------------------
# python wave.py mandrill.jpg
# python wave.py mandrill.png
# python wave.py darwin.jpg
# python wave.py darwin.png
if n == 0:
myTurtle.goForward(stepSize)
return
koch(n-1, stepSize, myTurtle)
myTurtle.turnLeft(60.0)
koch(n-1, stepSize, myTurtle)
myTurtle.turnLeft(-120.0)
koch(n-1, stepSize, myTurtle)
myTurtle.turnLeft(60.0)
koch(n-1, stepSize, myTurtle)
# Accept integer n as a command-line argument. Plot a Koch curve of
# order n to standard draw.
n = int(sys.argv[1])
stddraw.setCanvasSize(512, 256)
stddraw.setYscale(-.1, 0.4)
stddraw.setPenRadius(0.0)
stddraw.clear(stddraw.LIGHT_GRAY)
stepSize = 1.0 / (3.0 ** n)
myTurtle = Turtle(0.0, 0.0, 0.0)
koch(n, stepSize, myTurtle)
stddraw.show()
#-----------------------------------------------------------------------
# python koch.py 0
# python koch.py 1
# python koch.py 2
def main():
# Open file from the command liness
try:
k = sys.argv[1] # number of collinear points to search
file_name = sys.argv[2] # file name
path = Path.cwd()
file_path = path / 'data' / file_name
if k <= 2: raise AssertionError("We neead at least search for three collinear points")
except:
k = 4
file_name = 'input20.txt' # defaul file
path = Path.cwd()
file_path = path / 'data' / file_name
data = open(file_path)
n = data.readline()
points = numpy.empty(int(n), dtype=object)
i = 0
# print("n = ",points.size)
for line in data:
x, y = line.split()
x = int(x)
y = int(y)
# print(x, " , ", y)
points[i] = Point.Point(x, y)
i += 1
# * Random points generator
# Instead of read the data from files, uncomment the lines below to generate them randomly
# and set k to search for at leat k collinear points
k = 4
points = randomPointsGenerator.random_points(2000)
# set canvas size
screen_width_max = max(points,key=lambda a:a._x)._x
screen_high_max = max(points,key=lambda a:a._y)._y
screen_width_min = min(points,key=lambda a:a._x)._x
screen_high_min = min(points,key=lambda a:a._y)._y
width_buffer = int(screen_width_max*0.01)
high_buffer = int(screen_high_max*0.01)
stddraw.setCanvasSize(800, 800)
stddraw.setXscale(screen_width_min - width_buffer, screen_width_max + width_buffer)
stddraw.setYscale(screen_high_min - high_buffer , screen_high_max + high_buffer)
stddraw.setPenRadius(0.01)
#print and draw the line segments
collinear_points = fastSearchCollinearPoints(points, k)
for segment in collinear_points.segments():
print(segment)
segment.draw()
stddraw.setPenRadius(0.005)
stddraw.setPenColor(stddraw.RED)
for p in points:
p.draw()
print(collinear_points.numberOfSegments())
stddraw.show()