



'''simple docstring'''


from __future__ import annotations

from PIL import Image

# Define glider example
lowercase							       =			[
    [0, 1, 0, 0, 0, 0, 0, 0],
    [0, 0, 1, 0, 0, 0, 0, 0],
    [1, 1, 1, 0, 0, 0, 0, 0],
    [0, 0, 0, 0, 0, 0, 0, 0],
    [0, 0, 0, 0, 0, 0, 0, 0],
    [0, 0, 0, 0, 0, 0, 0, 0],
    [0, 0, 0, 0, 0, 0, 0, 0],
    [0, 0, 0, 0, 0, 0, 0, 0],
]

# Define blinker example
lowercase							       =			[[0, 1, 0], [0, 1, 0], [0, 1, 0]]






def  UpperCAmelCase_       (		lowercase__       ):


     '''simple docstring'''







     a_       		=[]
     for i in range(len(lowercase__       )       ):
          a_       		=[]
          for j in range(len(cells[i]       )       ):
               # Get the number of live neighbours
               a_       		=0
               if i > 0 and j > 0:
                    neighbour_count += cells[i - 1][j - 1]
               if i > 0:
                    neighbour_count += cells[i - 1][j]
               if i > 0 and j < len(cells[i]       ) - 1:
                    neighbour_count += cells[i - 1][j + 1]
               if j > 0:
                    neighbour_count += cells[i][j - 1]
               if j < len(cells[i]       ) - 1:
                    neighbour_count += cells[i][j + 1]
               if i < len(lowercase__       ) - 1 and j > 0:
                    neighbour_count += cells[i + 1][j - 1]
               if i < len(lowercase__       ) - 1:
                    neighbour_count += cells[i + 1][j]
               if i < len(lowercase__       ) - 1 and j < len(cells[i]       ) - 1:
                    neighbour_count += cells[i + 1][j + 1]

               # Rules of the game of life (excerpt from Wikipedia):
               # 1. Any live cell with two or three live neighbours survives.
               # 2. Any dead cell with three live neighbours becomes a live cell.
               # 3. All other live cells die in the next generation.
               #    Similarly, all other dead cells stay dead.
               a_       		=cells[i][j] == 1
               if (
                   (alive and 2 <= neighbour_count <= 3)
                   or not alive
                   and neighbour_count == 3
               ):
                    next_generation_row.append(1       )
               else:
                    next_generation_row.append(0       )

          next_generation.append(lowercase__       )
     return next_generation






def  UpperCAmelCase_       (		lowercase__       ,	lowercase__       ):


     '''simple docstring'''







     a_       		=[]
     for _ in range(lowercase__       ):
          # Create output image
          a_       		=Image.new("RGB"       ,	(len(cells[0]       ), len(lowercase__       ))       )
          a_       		=img.load()

          # Save cells to image
          for x in range(len(lowercase__       )       ):
               for y in range(len(cells[0]       )       ):
                    a_       		=2_5_5 - cells[y][x] * 2_5_5
                    a_       		=(colour, colour, colour)

        # Save image
          images.append(lowercase__       )
          a_       		=new_generation(lowercase__       )
     return images


if __name__ == "__main__":
  lowercase							       =			generate_images(GLIDER, 16)
  images[0].save('''out.gif''', save_all=True, append_images=images[1:])







'''simple docstring'''


from .testing import (
    are_the_same_tensors,
    execute_subprocess_async,
    require_bnb,
    require_cpu,
    require_cuda,
    require_huggingface_suite,
    require_mps,
    require_multi_gpu,
    require_multi_xpu,
    require_safetensors,
    require_single_gpu,
    require_single_xpu,
    require_torch_min_version,
    require_tpu,
    require_xpu,
    skip,
    slow,
)
from .training import RegressionDataset, RegressionModel, RegressionModelaXPU


from .scripts import test_script, test_sync, test_ops  # isort: skip


