
import math
import sys

import cva
import numpy as np



def  UpperCamelCase					(							lowerCAmelCase__				,    lowerCAmelCase__	):
					'''simple docstring'''
					# For applying gaussian function for each element in matrix.
					lowercase					=		math.sqrt(lowerCAmelCase__	)
					lowercase					=		1 / (sigma * math.sqrt(2 * math.pi	))
					return cons * np.exp(-((img / sigma) ** 2) * 0.5	)



def  UpperCamelCase					(							lowerCAmelCase__				,    lowerCAmelCase__				,    lowerCAmelCase__				,    lowerCAmelCase__	):
					'''simple docstring'''
					lowercase					=		kernel_size // 2
					return img[x - half : x + half + 1, y - half : y + half + 1]



def  UpperCamelCase					(							lowerCAmelCase__				,    lowerCAmelCase__	):
					'''simple docstring'''
					# Creates a gaussian kernel of given dimension.
					lowercase					=		np.zeros((kernel_size, kernel_size)	)
					for i in range(0				,    lowerCAmelCase__	):
										for j in range(0				,    lowerCAmelCase__	):
															lowercase					=		math.sqrt(
															    abs(i - kernel_size // 2	) ** 2 + abs(j - kernel_size // 2	) ** 2	)
					return vec_gaussian(lowerCAmelCase__				,    lowerCAmelCase__	)



def  UpperCamelCase					(							lowerCAmelCase__				,    lowerCAmelCase__				,    lowerCAmelCase__				,    lowerCAmelCase__				,    ):
					'''simple docstring'''
					lowercase					=		np.zeros(img.shape	)
					lowercase					=		get_gauss_kernel(lowerCAmelCase__				,    lowerCAmelCase__	)
					lowercase			,		lowercase					=		img.shape
					for i in range(kernel_size // 2				,    size_x - kernel_size // 2	):
										for j in range(kernel_size // 2				,    size_y - kernel_size // 2	):
															lowercase					=		get_slice(lowerCAmelCase__				,    lowerCAmelCase__				,    lowerCAmelCase__				,    lowerCAmelCase__	)
															lowercase					=		img_s - img_s[kernel_size // 2, kernel_size // 2]
															lowercase					=		vec_gaussian(lowerCAmelCase__				,    lowerCAmelCase__	)
															lowercase					=		np.multiply(lowerCAmelCase__				,    lowerCAmelCase__	)
															lowercase					=		np.multiply(lowerCAmelCase__				,    lowerCAmelCase__	)
															lowercase					=		np.sum(lowerCAmelCase__	) / np.sum(lowerCAmelCase__	)
															lowercase					=		val
					return imga



def  UpperCamelCase					(							lowerCAmelCase__	):
					'''simple docstring'''
					lowercase					=		args[1] if args[1:] else '''../image_data/lena.jpg'''
					lowercase					=		float(args[2]	) if args[2:] else 1.0
					lowercase					=		float(args[3]	) if args[3:] else 1.0
					if args[4:]:
										lowercase					=		int(args[4]	)
										lowercase					=		kernel_size + abs(kernel_size % 2 - 1	)
					else:
										lowercase					=		5
					return filename, spatial_variance, intensity_variance, kernel_size


if __name__ == "__main__":
							lowercase__						,  lowercase__						,  lowercase__						,  lowercase__	:List[str]										=					parse_args(sys.argv)
							lowercase__	:Union[str, Any]										=					cva.imread(filename, 0)
							cva.imshow("input image", img)

							lowercase__	:Tuple										=					img / 255
							lowercase__	:Tuple										=					out.astype("float32")
							lowercase__	:str										=					bilateral_filter(out, spatial_variance, intensity_variance, kernel_size)
							lowercase__	:Optional[int]										=					out * 255
							lowercase__	:str										=					np.uinta(out)
							cva.imshow("output image", out)
							cva.waitKey(0)
							cva.destroyAllWindows()






# Copyright 2022 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
import subprocess

from packaging.version import Version, parse

from accelerate.commands.config.config_args import default_config_file, load_config_from_file


lowercase__	:Any										=					"Run commands across TPU VMs for initial setup before running `accelerate launch`."



def  UpperCamelCase					(							lowerCAmelCase__=None	):
					'''simple docstring'''
					if subparsers is not None:
										lowercase					=		subparsers.add_parser('''tpu-config'''				,    description=_description	)
					else:
										lowercase					=		argparse.ArgumentParser('''Accelerate tpu-config command'''				,    description=_description	)
					# Core arguments
					lowercase					=		parser.add_argument_group(
					    '''Config Arguments'''				,    '''Arguments that can be configured through `accelerate config`.'''	)
					config_args.add_argument(
					    '''--config_file'''				,    type=lowerCAmelCase__				,    default=lowerCAmelCase__				,    help='''Path to the config file to use for accelerate.'''				,    )
					config_args.add_argument(
					    '''--tpu_name'''				,    default=lowerCAmelCase__				,    help='''The name of the TPU to use. If not specified, will use the TPU specified in the config file.'''				,    )
					config_args.add_argument(
					    '''--tpu_zone'''				,    default=lowerCAmelCase__				,    help='''The zone of the TPU to use. If not specified, will use the zone specified in the config file.'''				,    )
					lowercase					=		parser.add_argument_group('''TPU Arguments'''				,    '''Arguments for options ran inside the TPU.'''	)
					pod_args.add_argument(
					    '''--use_alpha'''				,    action='''store_true'''				,    help='''Whether to use `gcloud alpha` when running the TPU training script instead of `gcloud`.'''				,    )
					pod_args.add_argument(
					    '''--command_file'''				,    default=lowerCAmelCase__				,    help='''The path to the file containing the commands to run on the pod on startup.'''				,    )
					pod_args.add_argument(
					    '''--command'''				,    action='''append'''				,    nargs='''+'''				,    help='''A command to run on the pod. Can be passed multiple times.'''				,    )
					pod_args.add_argument(
					    '''--install_accelerate'''				,    action='''store_true'''				,    help='''Whether to install accelerate on the pod. Defaults to False.'''				,    )
					pod_args.add_argument(
					    '''--accelerate_version'''				,    default='''latest'''				,    help='''The version of accelerate to install on the pod. If not specified, will use the latest pypi version. Specify \'dev\' to install from GitHub.'''				,    )
					pod_args.add_argument(
					    '''--debug'''				,    action='''store_true'''				,    help='''If set, will print the command that would be run instead of running it.'''	)

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



def  UpperCamelCase					(							lowerCAmelCase__	):
					'''simple docstring'''
					lowercase					=		None

					# Get the default from the config file if it exists.
					if args.config_file is not None or os.path.isfile(lowerCAmelCase__	):
										lowercase					=		load_config_from_file(args.config_file	)
										if not args.command_file and defaults.command_file is not None and not args.command:
															lowercase					=		defaults.command_file
										if not args.command and defaults.commands is not None:
															lowercase					=		defaults.commands
										if not args.tpu_name:
															lowercase					=		defaults.tpu_name
										if not args.tpu_zone:
															lowercase					=		defaults.tpu_zone
					if args.accelerate_version == "dev":
										lowercase					=		'''git+https://github.com/huggingface/accelerate.git'''
					elif args.accelerate_version == "latest":
										lowercase					=		'''accelerate -U'''
					elif isinstance(parse(args.accelerate_version	)				,    lowerCAmelCase__	):
										lowercase					=		f'accelerate=={args.accelerate_version}'

					if not args.command_file and not args.command:
										raise ValueError('''You must specify either a command file or a command to run on the pod.'''	)

					if args.command_file:
										with open(args.command_file				,    '''r'''	) as f:
															lowercase					=		[f.read().splitlines()]

    # To turn list of lists into list of strings
					if isinstance(args.command[0]				,    lowerCAmelCase__	):
										lowercase					=		[line for cmd in args.command for line in cmd]
					# Default to the shared folder and install accelerate
					lowercase					=		['''cd /usr/share''']
					if args.install_accelerate:
										new_cmd += [f'pip install {args.accelerate_version}']
					new_cmd += args.command
					lowercase					=		'''; '''.join(lowerCAmelCase__	)

					# Then send it to gcloud
					# Eventually try to use google-api-core to do this instead of subprocess
					lowercase					=		['''gcloud''']
					if args.use_alpha:
										cmd += ["alpha"]
					cmd += [
					    "compute",
					    "tpus",
					    "tpu-vm",
					    "ssh",
					    args.tpu_name,
					    "--zone",
					    args.tpu_zone,
					    "--command",
					    args.command,
					    "--worker",
					    "all",
					]
					if args.debug:
										print(f'Running {" ".join(lowerCAmelCase__	)}'	)
										return
					subprocess.run(lowerCAmelCase__	)
					print('''Successfully setup pod.'''	)



def  UpperCamelCase					(							):
					'''simple docstring'''
					lowercase					=		tpu_command_parser()
					lowercase					=		parser.parse_args()

					tpu_command_launcher(lowerCAmelCase__	)




