

from __future__ import annotations

from PIL import Image

# Define glider example
UpperCAmelCase__ :     List[str]				    =    [
    [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
UpperCAmelCase__ :     str				    =    [[0, 1, 0], [0, 1, 0], [0, 1, 0]]






def 					__lowercase      (     _A			)     ->						list[list[int]]:
						SCREAMING_SNAKE_CASE :      Dict       =   []
						for i in range(len(_A			)			):
												SCREAMING_SNAKE_CASE :      Optional[int]       =   []
												for j in range(len(cells[i]			)			):
																		# Get the number of live neighbours
																		SCREAMING_SNAKE_CASE :      Dict       =   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(_A			) - 1 and j > 0:
																								neighbour_count += cells[i + 1][j - 1]
																		if i < len(_A			) - 1:
																								neighbour_count += cells[i + 1][j]
																		if i < len(_A			) - 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.
																		SCREAMING_SNAKE_CASE :      List[Any]       =   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(_A			)
						return next_generation






def 					__lowercase      (     _A						,    _A			)     ->						list[Image.Image]:
						SCREAMING_SNAKE_CASE :      Optional[Any]       =   []
						for _ in range(_A			):
												# Create output image
												SCREAMING_SNAKE_CASE :      Optional[Any]       =   Image.new("""RGB"""						,    (len(cells[0]			), len(_A			))			)
												SCREAMING_SNAKE_CASE :      Dict       =   img.load()

												# Save cells to image
												for x in range(len(_A			)			):
																		for y in range(len(cells[0]			)			):
																								SCREAMING_SNAKE_CASE :      Union[str, Any]       =   255 - cells[y][x] * 255
																								SCREAMING_SNAKE_CASE :      List[Any]       =   (colour, colour, colour)

        # Save image
												images.append(_A			)
												SCREAMING_SNAKE_CASE :      Union[str, Any]       =   new_generation(_A			)
						return images


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







from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_tf_available,
    is_torch_available,
    is_vision_available,
)


UpperCAmelCase__ :     List[Any]				    =    {"""configuration_vit""": ["""VIT_PRETRAINED_CONFIG_ARCHIVE_MAP""", """ViTConfig""", """ViTOnnxConfig"""]}

try:
  if not is_vision_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  UpperCAmelCase__ :     Union[str, Any]				    =    ["""ViTFeatureExtractor"""]
  UpperCAmelCase__ :     List[Any]				    =    ["""ViTImageProcessor"""]

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  UpperCAmelCase__ :     List[Any]				    =    [
      """VIT_PRETRAINED_MODEL_ARCHIVE_LIST""",
      """ViTForImageClassification""",
      """ViTForMaskedImageModeling""",
      """ViTModel""",
      """ViTPreTrainedModel""",
  ]

try:
  if not is_tf_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  UpperCAmelCase__ :     Tuple				    =    [
      """TFViTForImageClassification""",
      """TFViTModel""",
      """TFViTPreTrainedModel""",
  ]

try:
  if not is_flax_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  UpperCAmelCase__ :     str				    =    [
      """FlaxViTForImageClassification""",
      """FlaxViTModel""",
      """FlaxViTPreTrainedModel""",
  ]

if TYPE_CHECKING:
  from .configuration_vit import VIT_PRETRAINED_CONFIG_ARCHIVE_MAP, ViTConfig, ViTOnnxConfig

  try:
    if not is_vision_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .feature_extraction_vit import ViTFeatureExtractor
    from .image_processing_vit import ViTImageProcessor

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_vit import (
        VIT_PRETRAINED_MODEL_ARCHIVE_LIST,
        ViTForImageClassification,
        ViTForMaskedImageModeling,
        ViTModel,
        ViTPreTrainedModel,
    )

  try:
    if not is_tf_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_tf_vit import TFViTForImageClassification, TFViTModel, TFViTPreTrainedModel

  try:
    if not is_flax_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_flax_vit import FlaxViTForImageClassification, FlaxViTModel, FlaxViTPreTrainedModel


else:
  import sys

  UpperCAmelCase__ :     Optional[Any]				    =    _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)




