


from pathlib import PurePosixPath
from typing import Optional

import fsspec
from fsspec import AbstractFileSystem
from huggingface_hub.hf_api import DatasetInfo

from ..utils.file_utils import get_authentication_headers_for_url
from ..utils.hub import hf_hub_url





class  _a							(    _lowercase):
	_a  :  Any				   =							''''''
	_a  :  str				   =							'''hf-legacy'''  # "hf://"" is reserved for hffs




	def __init__( self						:		List[Any]		, _SCREAMING_SNAKE_CASE						:		Optional[DatasetInfo] = None		, _SCREAMING_SNAKE_CASE						:		Optional[str] = None		, **_SCREAMING_SNAKE_CASE						:		List[str]		, )->	Optional[int]:
			super().__init__(self		, **_SCREAMING_SNAKE_CASE		)
			lowerCAmelCase__       :      List[str]   					= repo_info
			lowerCAmelCase__       :      Dict   					= token
			lowerCAmelCase__       :      List[Any]   					= None




	def 							UpperCAmelCase__( self						:		Optional[int]		)->	int:
			if self.dir_cache is None:
					lowerCAmelCase__       :      str   					= {}
					for hf_file in self.repo_info.siblings:
							# TODO(QL): add sizes
							lowerCAmelCase__       :      Tuple   					= {
							    '''name''': hf_file.rfilename,
							    '''size''': None,
							    '''type''': '''file''',
							}
							self.dir_cache.update(
							    {
							        str(_SCREAMING_SNAKE_CASE		): {'''name''': str(_SCREAMING_SNAKE_CASE		), '''size''': None, '''type''': '''directory'''}
							        for d in list(PurePosixPath(hf_file.rfilename		).parents		)[:-1]
							    }		)




	def 							UpperCAmelCase__( self						:		Union[str, Any]		, _SCREAMING_SNAKE_CASE						:		str		, _SCREAMING_SNAKE_CASE						:		str = "rb"		, **_SCREAMING_SNAKE_CASE						:		Any		, )->	Union[str, Any]:
			if not isinstance(self.repo_info		, _SCREAMING_SNAKE_CASE		):
					raise NotImplementedError(F'Open is only implemented for dataset repositories, but got {self.repo_info}'		)
			lowerCAmelCase__       :      List[Any]   					= hf_hub_url(self.repo_info.id		, _SCREAMING_SNAKE_CASE		, revision=self.repo_info.sha		)
			return fsspec.open(
			    _SCREAMING_SNAKE_CASE		, mode=_SCREAMING_SNAKE_CASE		, headers=get_authentication_headers_for_url(_SCREAMING_SNAKE_CASE		, use_auth_token=self.token		)		, client_kwargs={'''trust_env''': True}		, ).open()




	def 							UpperCAmelCase__( self						:		Optional[Any]		, _SCREAMING_SNAKE_CASE						:		Optional[Any]		, **_SCREAMING_SNAKE_CASE						:		List[str]		)->	Tuple:
			self._get_dirs()
			lowerCAmelCase__       :      Tuple   					= self._strip_protocol(_SCREAMING_SNAKE_CASE		)
			if path in self.dir_cache:
					return self.dir_cache[path]
			else:
					raise FileNotFoundError(_SCREAMING_SNAKE_CASE		)




	def 							UpperCAmelCase__( self						:		str		, _SCREAMING_SNAKE_CASE						:		str		, _SCREAMING_SNAKE_CASE						:		str=False		, **_SCREAMING_SNAKE_CASE						:		Any		)->	Any:
			self._get_dirs()
			lowerCAmelCase__       :      int   					= PurePosixPath(path.strip('''/'''		)		)
			lowerCAmelCase__       :      Optional[Any]   					= {}
			for p, f in self.dir_cache.items():
					lowerCAmelCase__       :      Optional[int]   					= PurePosixPath(p.strip('''/'''		)		)
					lowerCAmelCase__       :      Any   					= p.parent
					if root == path:
							lowerCAmelCase__       :      Tuple   					= f
			lowerCAmelCase__       :      List[str]   					= list(paths.values()		)
			if detail:
					return out
			else:
					return sorted(f['''name'''] for f in out		)








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 					lowerCamelCase_   (	_a     ,       _a	):




		"""simple docstring"""






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






def 					lowerCamelCase_   (	_a     ,       _a     ,       _a	):




		"""simple docstring"""






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

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

		#  turn the kernel into shape(k*k, 1)
		lowerCAmelCase__       :      List[Any]   					= gen_gaussian_kernel(_a     ,       _a	)
		lowerCAmelCase__       :      str   					= ravel(_a	)

		# reshape and get the dst image
		lowerCAmelCase__       :      int   					= dot(_a     ,       _a	).reshape(_a     ,       _a	).astype(_a	)

		return dst


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

		# get values with two different mask size
		lowerCamelCase						=		gaussian_filter(gray, 3, sigma=1)
		lowerCamelCase						=		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()




