We're getting a bit lost, lets start again, the below code you supplied before worked perfectly, using this can you add functions to output images for the below algorithms, also can you execute the python code to ensure there are no errors before you submit the script to me:

Algorithms:
MaxRects
MaxRectsBl
MaxRectsBssf
MaxRectsBaf
MaxRectsBlsf
Skyline
SkylineBl
SkylineBlWm
SkylineMwf
SkylineMwfl
SkylineMwfWm
SkylineMwflWm
Guillotine
GuillotineBssfSas
GuillotineBssfLas
GuillotineBssfSlas
GuillotineBssfLlas
GuillotineBssfMaxas
GuillotineBssfMinas
GuillotineBlsfSas
GuillotineBlsfLas
GuillotineBlsfSlas
GuillotineBlsfLlas
GuillotineBlsfMaxas
GuillotineBlsfMinas
GuillotineBafSas
GuillotineBafLas
GuillotineBafSlas
GuillotineBafLlas
GuillotineBafMaxas
GuillotineBafMinas

Code:

import os
import subprocess
import glob
from datetime import datetime, timedelta
from PIL import Image, ImageOps
from rectpack import newPacker, SkylineMwfl

def add\_border(image, border\_width, border\_color):
 return ImageOps.expand(image, border=border\_width, fill=border\_color)

def combine\_images\_tetris(images, max\_width, padding, background\_color):
 # Add border and padding to each image
 bordered\_images = []
 for image in images:
 bordered\_image = add\_border(image, 1, 'red')
 padded\_image = ImageOps.expand(bordered\_image, border=padding, fill=background\_color)
 bordered\_images.append(padded\_image)

 packer = newPacker(pack\_algo=SkylineMwfl, rotation=False)

 for image in bordered\_images:
 packer.add\_rect(\*image.size, image)

 packer.add\_bin(max\_width, 20000)
 packer.pack()

 bin = packer[0]

 combined\_image\_width = max\_width
 combined\_image\_height = bin.height

 combined\_image = Image.new('RGB', (combined\_image\_width, combined\_image\_height), color=background\_color)

 for rect in packer.rect\_list():
 b, x, y, w, h, rid = rect
 img = rid
 combined\_image.paste(img, (x + padding, y + padding))

 # Find the highest point of the images and crop accordingly
 highest\_point = 0
 for rect in packer.rect\_list():
 b, x, y, w, h, rid = rect
 if y + h > highest\_point:
 highest\_point = y + h

 cropped\_image = combined\_image.crop((0, 0, combined\_image\_width, highest\_point + padding))

 return cropped\_image
downloads\_folder = os.path.join(os.path.expanduser('~'), 'Downloads')
images = []

one\_hour\_ago = datetime.now() - timedelta(hours=1)

for ext in ('\*.png', '\*.jpg', '\*.jpeg'):
 for file in glob.glob(os.path.join(downloads\_folder, ext)):
 if os.path.getmtime(file) > one\_hour\_ago.timestamp():
 images.append(Image.open(file))

max\_width = 1920 // 2
padding = int(2 \* 300 / 25.4) # 2mm padding in pixels, assuming 300 DPI
background\_color = (64, 64, 64) # dark grey

combined\_image = combine\_images\_tetris(images, max\_width, padding, background\_color)
timestamp = datetime.now().strftime('%Y%m%d\_%H%M%S')
combined\_image.save(os.path.join(downloads\_folder, f'combined\_image\_{timestamp}.png'))
print(f"Combined image saved as 'combined\_image\_{timestamp}.png' in the Downloads folder.")

# Open the combined image with the default image viewer on Windows 10
subprocess.run(['start', os.path.join(downloads\_folder, f'combined\_image\_{timestamp}.png')], shell=True, check=True)Share Prompt
약간 길을 잃고 있습니다. 다시 시작하겠습니다. 이전에 제공 한 아래 코드가 완벽하게 작동했으며이를 사용하여 아래 알고리즘에 대한 이미지를 출력하는 함수를 추가 할 수 있으며 스크립트를 제출하기 전에 오류가 없는지 확인하기 위해 파이썬 코드를 실행할 수 있습니다:알고리즘:MaxRectsMaxRectsBlMaxRectsBssfMaxRectsBafMaxRectBlsfSkylineSkylineBlSkylineBlWmSkylineMwfSkylineMwflSkylineMwfWmSkylineMwflWmGuillotineGuillotineBssfSasGuillotineBssfLasGuillotineBssfSlasGuillotineBssfLlasGuillotineBssfMaxasGuillotineBssfMinasGuillotineBlsfSasGuillotineBlsfLasGuillotineBlsfSlasGuillotineBlsfLlasGuillotineBlsfMaxasGuillotineBlsfMinasGuillotineBafSasGuillotineBafLasGuillotineBafSlasGuillotineBafLlasGuillotineBafMaxasGuillotineBafMinas코드:import os서브프로세스 임포트import globfrom datetime import datetime, timedeltaPIL에서 이미지, 이미지옵스 임포트rectpack에서 newPacker, SkylineMwfl을 임포트합니다.def add\_border(image, border\_width, border\_color): return ImageOps.expand(이미지, 테두리=테두리\_폭, 채우기=테두리\_색)def combine\_images\_tetris(images, max\_width, padding, background\_color): # 각 이미지에 테두리와 패딩 추가 bordered\_images = [] 를 이미지의 이미지에 사용합니다: bordered\_image = add\_border(image, 1, 'red') padded\_image = ImageOps.expand(bordered\_image, border=padding, fill=background\_color) 테두리\_이미지.추가(패딩\_이미지) packer = newPacker(pack\_algo=SkylineMwfl, rotation=False) 경계가 있는\_이미지의 이미지에 대해: packer.add\_rect(\*이미지.크기, 이미지) packer.add\_bin(max\_width, 20000) packer.pack() bin = packer[0] 결합된\_이미지\_폭 = 최대\_폭 결합된\_이미지\_높이 = 빈.높이 combined\_image = Image.new('RGB', (combined\_image\_width, combined\_image\_height), color=background\_color) for rect in packer.rect\_list(): b, x, y, w, h, rid = rect img = rid combined\_image.paste(img, (x + 패딩, y + 패딩)) # 이미지의 가장 높은 지점을 찾아 적절히 자릅니다. highest\_point = 0 for rect in packer.rect\_list(): b, x, y, w, h, rid = rect if y + h > highest\_point: highest\_point = y + h cropped\_image = combined\_image.crop((0, 0, combined\_image\_width, highest\_point + padding)) 잘린\_이미지 반환downloads\_folder = os.path.join(os.path.expanduser('~'), 'Downloads')images = []one\_hour\_ago = datetime.now() - timedelta(hours=1)for ext in ('\*.png', '\*.jpg', '\*.jpeg'): for file in glob.glob(os.path.join(downloads\_folder, ext)): if os.path.getmtime(file) > 1\_hour\_ago.timestamp(): images.append(Image.open(file))최대\_폭 = 1920 // 2padding = int(2 \* 300 / 25.4) # 2mm 패딩(픽셀 단위, 300 DPI 가정)background\_color = (64, 64, 64) # 짙은 회색결합\_이미지 = 결합\_이미지\_tetris(이미지, 최대\_폭, 패딩, 배경\_색)timestamp = datetime.now().strftime('%Y%m%d\_%H%M%S')결합된\_이미지.저장(os.경로.조인(다운로드\_폴더, f'결합된\_이미지\_{타임스탬프}.png'))print(f"결합된 이미지가 다운로드 폴더에 '결합된\_이미지\_{타임스탬프}.png'로 저장되었습니다.")# Windows 10에서 기본 이미지 뷰어로 결합된 이미지 열기subprocess.run(['start', os.path.join(downloads\_folder, f'combined\_image\_{timestamp}.png')], shell=True, check=True)공유 프롬프트