"""simple docstring"""






from pathlib import Path

import numpy as np
from PIL import Image


def     UpperCAmelCase__ (       lowerCAmelCase__  :np.ndarray	)				->					np.ndarray:
      '''simple docstring'''


      lowercase							,							lowercase							,							lowercase														=			rgb[:, :, 0], rgb[:, :, 1], rgb[:, :, 2]
      return 0.2_989 * r + 0.5_870 * g + 0.1_140 * b


def     UpperCAmelCase__ (       lowerCAmelCase__  :np.ndarray	)				->					np.ndarray:
      '''simple docstring'''


      return (gray > 1_2_7) & (gray <= 2_5_5)


def     UpperCAmelCase__ (       lowerCAmelCase__  :np.ndarray      ,	lowerCAmelCase__  :np.ndarray	)				->					np.ndarray:
      '''simple docstring'''


      lowercase														=			np.zeros_like(lowerCAmelCase__	)
      lowercase														=			np.zeros(
          (image.shape[0] + kernel.shape[0] - 1, image.shape[1] + kernel.shape[1] - 1)	)

      # Copy image to padded image
      lowercase														=			image

      # Iterate over image & apply kernel
      for x in range(image.shape[1]	):
            for y in range(image.shape[0]	):
                  lowercase														=			(
                      kernel * image_padded[y : y + kernel.shape[0], x : x + kernel.shape[1]]
                  ).sum()
                  lowercase														=			int(summation > 0	)
      return output


if __name__ == "__main__":
       # read original image
       __lowerCAmelCase					: str        =Path(__file__).resolve().parent / """image_data""" / """lena.jpg"""
       __lowerCAmelCase					: Dict        =np.array(Image.open(lena_path))
       # kernel to be applied
       __lowerCAmelCase					: List[str]        =np.array([[0, 1, 0], [1, 1, 1], [0, 1, 0]])
       __lowerCAmelCase					: Optional[int]        =dilation(gray_to_binary(rgb_to_gray(lena)), structuring_element)
       # Save the output image
       __lowerCAmelCase					: Optional[int]        =Image.fromarray(output).convert("""RGB""")
       pil_img.save("""result_dilation.png""")




"""simple docstring"""






# Copyright 2021 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

from argparse import ArgumentParser

from accelerate.commands.config import get_config_parser
from accelerate.commands.env import env_command_parser
from accelerate.commands.launch import launch_command_parser
from accelerate.commands.test import test_command_parser
from accelerate.commands.tpu import tpu_command_parser


def     UpperCAmelCase__ (       )				->					Tuple:
      '''simple docstring'''


      lowercase														=			ArgumentParser("""Accelerate CLI tool"""      ,	usage="""accelerate <command> [<args>]"""      ,	allow_abbrev=lowerCAmelCase__	)
      lowercase														=			parser.add_subparsers(help="""accelerate command helpers"""	)

      # Register commands
      get_config_parser(subparsers=lowerCAmelCase__	)
      env_command_parser(subparsers=lowerCAmelCase__	)
      launch_command_parser(subparsers=lowerCAmelCase__	)
      tpu_command_parser(subparsers=lowerCAmelCase__	)
      test_command_parser(subparsers=lowerCAmelCase__	)

      # Let's go
      lowercase														=			parser.parse_args()

      if not hasattr(lowerCAmelCase__      ,	"""func"""	):
            parser.print_help()
            exit(1	)

      # Run
      args.func(lowerCAmelCase__	)


if __name__ == "__main__":
       main()



