15 part1 bigger anim

This commit is contained in:
2024-12-15 19:41:23 +01:00
parent 659572734a
commit 28c35f5375
3 changed files with 166 additions and 0 deletions

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15/15-1-with-bigger-anim.py Normal file
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#!/usr/bin/env python3
# -*- coding: utf-8 -*-
import numpy as np
from PIL import Image, ImageDraw, ImageFont
import cv2
from time import time
file = "./input.txt"
#file = "./ex.txt"
#file = "./ex_s.txt"
out_file_name = "sol_bigger"
grow_factor = 10
start_time = time()
def array_to_image(ar):
global grow_factor
# Konvertiere das Array in ein NumPy-Array
np_array = np.array(ar)
# Erstelle ein leeres RGB-Bild
height, width = np_array.shape
image = Image.new('RGB', (width * grow_factor, height * grow_factor))
# Fülle das Bild mit Pixeln basierend auf den Array-Werten
for y in range(height):
for x in range(width):
color = (0, 0, 0) # Standardfarbe schwarz
if np_array[y, x] == "#":
color = (255, 0, 0)
elif np_array[y, x] == "O":
color = (0, 255, 0)
elif np_array[y, x] == "@":
color = (255, 255, 255)
for dy in range(grow_factor):
for dx in range(grow_factor):
image.putpixel((x * grow_factor + dx, y * grow_factor + dy), color)
return image
def add_text_to_image(image, num):
draw = ImageDraw.Draw(image)
font = ImageFont.truetype("arial.ttf", 20) # Wählen Sie eine Schriftart und Größe
draw.text((5,5), f"{num:04d}", fill=(255, 255, 255), font=font) # Weißer Text
return image
def pil_to_cv2(pil_image):
return cv2.cvtColor(np.array(pil_image), cv2.COLOR_RGB2BGR)
def read_input(input_file:str) -> tuple[list[list[str]], list[str]]:
out_field=[]
out_moves=[]
f = open(input_file, "r")
for line in f:
line = line.strip()
if line == "":
continue
if "#" in line:
temp = []
for b in line:
temp.append(b)
out_field.append(temp)
elif "<" in line or ">" in line or "^" in line or "v" in line:
out_moves.append(line)
f.close()
return out_field, out_moves
def get_position(game_field) -> (int, int):
for li in range(len(game_field)):
for ro in range(len(game_field[li])):
if game_field[li][ro] == '@':
return li, ro
def print_field(f:list[list[str]]):
for r in f:
for s in r:
print(s, end="")
print()
def do_move(f:list[list[str]], m:str)-> list[list[str]]:
li, ro = get_position(f)
#print(li, ro, m)
if m == ">":
for i in range(ro+1, len(f[li])):
if f[li][i] == '.':
for ml in range(i,ro,-1):
f[li][ml] = f[li][ml-1]
f[li][ro] = '.'
return f
elif f[li][i] == '#':
return f
elif m == "<":
for i in range(ro-1, 0, -1):
if f[li][i] == '.':
for ml in range(i,ro):
f[li][ml] = f[li][ml+1]
f[li][ro] = '.'
return f
elif f[li][i] == '#':
return f
elif m == "v":
for i in range(li+1, len(f)):
if f[i][ro] == '.':
for mr in range(i,li,-1):
f[mr][ro] = f[mr-1][ro]
f[li][ro] = '.'
return f
elif f[i][ro] == '#':
return f
elif m == "^":
for i in range(li-1, 0, -1):
if f[i][ro] == '.':
for mr in range(i,li):
f[mr][ro] = f[mr+1][ro]
f[li][ro] = '.'
return f
elif f[i][ro] == '#':
return f
return f
def sum_gps_coord(f:list[list[str]]):
result = 0
for l in range(len(f)):
for r in range(len(f[l])):
if f[l][r] == "O":
result += (100 * l) + r
return result
if __name__ == "__main__":
field, moves_list = read_input(file)
print_field(field)
fourcc = cv2.VideoWriter_fourcc(*'mp4v')
fps = 30
frame_size = (len(field[0]) * grow_factor, len(field) * grow_factor)
out = cv2.VideoWriter(f'./{out_file_name}.mp4', fourcc, fps, frame_size)
gif_anim=[]
img = array_to_image(field)
gif_anim.append(img)
cv2_image = pil_to_cv2(img)
out.write(cv2_image)
for moves in moves_list:
for move in moves:
field = do_move(field,move)
#print_field(field)
img = array_to_image(field)
gif_anim.append(img)
cv2_image = pil_to_cv2(img)
out.write(cv2_image)
out.release()
gif_anim[0].save(f'./{out_file_name}.gif', save_all=True, append_images=gif_anim[1:],
optimize=False, duration=30, loop=0)
print_field(field)
print(f'Solution Part1: {sum_gps_coord(field)}')
print(f'Runtime: {time()-start_time:.2f} s')

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15/ex_p2.txt Normal file
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#######
#...#.#
#.....#
#..OO@#
#..O..#
#.....#
#######
<vv<<^^<<^^

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