






'''simple docstring'''




from itertools import product

from cva import COLOR_BGR2GRAY, cvtColor, imread, imshow, waitKey
from numpy import dot, exp, mgrid, pi, ravel, square, uinta, zeros

def 	__UpperCAmelCase       ( __magic_name__     ,__magic_name__						)->    Optional[int]:



			"""simple docstring"""



			snake_case_				:					Union[str, Any]   =       k_size // 2
			snake_case_,	snake_case_				:					str   =       mgrid[0 - center : k_size - center, 0 - center : k_size - center]
			snake_case_				:					List[Any]   =       1 / (2 * pi * sigma) * exp(-(square(UpperCAmelCase__						) + square(UpperCAmelCase__						)) / (2 * square(UpperCAmelCase__						))						)
			return g

def 	__UpperCAmelCase       ( __magic_name__     ,__magic_name__     ,__magic_name__						)->    Union[str, Any]:



			"""simple docstring"""



			snake_case_,	snake_case_				:					Tuple   =       image.shape[0], image.shape[1]
			# dst image height and width
			snake_case_				:					Any   =       height - k_size + 1
			snake_case_				:					Optional[Any]   =       width - k_size + 1

			# im2col, turn the k_size*k_size pixels into a row and np.vstack all rows
			snake_case_				:					Optional[int]   =       zeros((dst_height * dst_width, k_size * k_size)						)
			snake_case_				:					str   =       0
			for i, j in product(range(UpperCAmelCase__						)     ,range(UpperCAmelCase__						)						):
						snake_case_				:					Optional[Any]   =       ravel(image[i : i + k_size, j : j + k_size]						)
						snake_case_				:					int   =       window
						row += 1

			#  turn the kernel into shape(k*k, 1)
			snake_case_				:					List[str]   =       gen_gaussian_kernel(UpperCAmelCase__     ,UpperCAmelCase__						)
			snake_case_				:					Optional[int]   =       ravel(UpperCAmelCase__						)

			# reshape and get the dst image
			snake_case_				:					str   =       dot(UpperCAmelCase__     ,UpperCAmelCase__						).reshape(UpperCAmelCase__     ,UpperCAmelCase__						).astype(UpperCAmelCase__						)

			return dst


if __name__ == "__main__":
		# read original image
		__lowerCamelCase   :					int   							=					imread(R'''../image_data/lena.jpg''')
		# turn image in gray scale value
		__lowerCamelCase   :					str   							=					cvtColor(img, COLOR_BGR2GRAY)

		# get values with two different mask size
		__lowerCamelCase   :					List[str]   							=					gaussian_filter(gray, 3, sigma=1)
		__lowerCamelCase   :					Optional[int]   							=					gaussian_filter(gray, 5, sigma=0.8)

		# show result images
		imshow('''gaussian filter with 3x3 mask''', gaussianaxa)
		imshow('''gaussian filter with 5x5 mask''', gaussianaxa)
		waitKey()












'''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.

import argparse
import os

from accelerate.test_utils import execute_subprocess_async

def 	__UpperCAmelCase       ( __magic_name__=None						)->    List[str]:



			"""simple docstring"""



			if subparsers is not None:
						snake_case_				:					List[str]   =       subparsers.add_parser("test"						)
			else:
						snake_case_				:					List[Any]   =       argparse.ArgumentParser("Accelerate test command"						)

			parser.add_argument(
			    "--config_file"     ,default=__magic_name__     ,help=(
			        "The path to use to store the config file. Will default to a file named default_config.yaml in the cache "
			        "location, which is the content of the environment `HF_HOME` suffixed with 'accelerate', or if you don't have "
			        "such an environment variable, your cache directory ('~/.cache' or the content of `XDG_CACHE_HOME`) suffixed "
			        "with 'huggingface'."
			    )     ,)

			if subparsers is not None:
						parser.set_defaults(func=__magic_name__						)
			return parser

def 	__UpperCAmelCase       ( __magic_name__						)->    Tuple:



			"""simple docstring"""



			snake_case_				:					Optional[Any]   =       os.path.sep.join(__file__.split(os.path.sep						)[:-2] + ["test_utils", "scripts", "test_script.py"]						)

			if args.config_file is None:
						snake_case_				:					str   =       script_name
			else:
						snake_case_				:					Any   =       F'''--config_file={args.config_file} {script_name}'''

			snake_case_				:					Union[str, Any]   =       ["accelerate-launch"] + test_args.split()
			snake_case_				:					Optional[int]   =       execute_subprocess_async(__magic_name__     ,env=os.environ.copy()						)
			if result.returncode == 0:
						print("Test is a success! You are ready for your distributed training!"						)

def 	__UpperCAmelCase       ( )->    int:



			"""simple docstring"""



			snake_case_				:					Dict   =       test_command_parser()
			snake_case_				:					Dict   =       parser.parse_args()
			test_command(__magic_name__						)


if __name__ == "__main__":
		main()




