import os
import re
from shutil import copyfile
from typing import List, Optional, Tuple

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


__lowercase							 =					logging.get_logger(__name__)

__lowercase							 =					{
    '''vocab_file''': '''vocab.txt''',
    '''merges_file''': '''bpe.codes''',
}

__lowercase							 =					{
    '''vocab_file''': {
        '''vinai/phobert-base''': '''https://huggingface.co/vinai/phobert-base/resolve/main/vocab.txt''',
        '''vinai/phobert-large''': '''https://huggingface.co/vinai/phobert-large/resolve/main/vocab.txt''',
    },
    '''merges_file''': {
        '''vinai/phobert-base''': '''https://huggingface.co/vinai/phobert-base/resolve/main/bpe.codes''',
        '''vinai/phobert-large''': '''https://huggingface.co/vinai/phobert-large/resolve/main/bpe.codes''',
    },
}

__lowercase							 =					{
    '''vinai/phobert-base''': 256,
    '''vinai/phobert-large''': 256,
}



def lowerCamelCase  (   SCREAMING_SNAKE_CASE	):
    '''simple docstring'''







    __UpperCamelCase     :Union[str, Any]			  =		set()
    __UpperCamelCase     :Optional[int]			  =		word[0]
    for char in word[1:]:
        pairs.add((prev_char, char)	)
        __UpperCamelCase     :Tuple			  =		char

    __UpperCamelCase     :str			  =		set(__snake_case	)
    return pairs


class 	lowerCamelCase_     (   UpperCAmelCase_ ):






    '''simple docstring'''






    a__	:						str						=      VOCAB_FILES_NAMES
    a__	:						Tuple						=      PRETRAINED_VOCAB_FILES_MAP
    a__	:						Tuple						=      PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES







    def __init__(	self , __lowercase , __lowercase , __lowercase="<s>" , __lowercase="</s>" , __lowercase="</s>" , __lowercase="<s>" , __lowercase="<unk>" , __lowercase="<pad>" , __lowercase="<mask>" , **__lowercase , )       ->	Optional[int]:
        super().__init__(
            bos_token=__a , eos_token=__a , unk_token=__a , sep_token=__a , cls_token=__a , pad_token=__a , mask_token=__a , **__a , )

        __UpperCamelCase     :int			  =		vocab_file
        __UpperCamelCase     :Dict			  =		merges_file

        __UpperCamelCase     :List[str]			  =		{}
        __UpperCamelCase     :Union[str, Any]			  =		0
        __UpperCamelCase     :Optional[int]			  =		1
        __UpperCamelCase     :List[Any]			  =		2
        __UpperCamelCase     :Optional[int]			  =		3

        self.add_from_file(__a)

        __UpperCamelCase     :Tuple			  =		{v: k for k, v in self.encoder.items()}

        with open(__a , encoding='''utf-8''') as merges_handle:
            __UpperCamelCase     :Optional[int]			  =		merges_handle.read().split('''\n''')[:-1]
        __UpperCamelCase     :Tuple			  =		[tuple(merge.split()[:-1]) for merge in merges]
        __UpperCamelCase     :Union[str, Any]			  =		dict(zip(__a , range(len(__a))))
        __UpperCamelCase     :Optional[int]			  =		{}







    def 			UpperCamelCase__   (	self , __lowercase , __lowercase = None)       ->	List[int]:

        if token_ids_a is None:
            return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
        __UpperCamelCase     :Any			  =		[self.cls_token_id]
        __UpperCamelCase     :Any			  =		[self.sep_token_id]
        return cls + token_ids_a + sep + sep + token_ids_a + sep







    def 			UpperCamelCase__   (	self , __lowercase , __lowercase = None , __lowercase = False)       ->	List[int]:

        if already_has_special_tokens:
            return super().get_special_tokens_mask(
                token_ids_a=__a , token_ids_a=__a , already_has_special_tokens=__a)

        if token_ids_a is None:
            return [1] + ([0] * len(__a)) + [1]
        return [1] + ([0] * len(__a)) + [1, 1] + ([0] * len(__a)) + [1]







    def 			UpperCamelCase__   (	self , __lowercase , __lowercase = None)       ->	List[int]:
        __UpperCamelCase     :Union[str, Any]			  =		[self.sep_token_id]
        __UpperCamelCase     :Dict			  =		[self.cls_token_id]

        if token_ids_a is None:
            return len(cls + token_ids_a + sep) * [0]
        return len(cls + token_ids_a + sep + sep + token_ids_a + sep) * [0]







    @property
    def 			UpperCamelCase__   (	self)       ->	Tuple:
        return len(self.encoder)







    def 			UpperCamelCase__   (	self)       ->	Tuple:
        return dict(self.encoder , **self.added_tokens_encoder)







    def 			UpperCamelCase__   (	self , __lowercase)       ->	str:
        if token in self.cache:
            return self.cache[token]
        __UpperCamelCase     :Tuple			  =		tuple(__a)
        __UpperCamelCase     :int			  =		tuple(list(word[:-1]) + [word[-1] + '''</w>'''])
        __UpperCamelCase     :Dict			  =		get_pairs(__a)

        if not pairs:
            return token

        while True:
            __UpperCamelCase     :List[Any]			  =		min(__a , key=lambda __lowercase: self.bpe_ranks.get(__a , float('''inf''')))
            if bigram not in self.bpe_ranks:
                break
            __UpperCamelCase  ,       __UpperCamelCase     :int			  =		bigram
            __UpperCamelCase     :List[str]			  =		[]
            __UpperCamelCase     :Optional[int]			  =		0
            while i < len(__a):
                try:
                    __UpperCamelCase     :Union[str, Any]			  =		word.index(__a , __a)
                except ValueError:
                    new_word.extend(word[i:])
                    break
                else:
                    new_word.extend(word[i:j])
                    __UpperCamelCase     :Optional[int]			  =		j

                if word[i] == first and i < len(__a) - 1 and word[i + 1] == second:
                    new_word.append(first + second)
                    i += 2
                else:
                    new_word.append(word[i])
                    i += 1
            __UpperCamelCase     :Union[str, Any]			  =		tuple(__a)
            __UpperCamelCase     :Union[str, Any]			  =		new_word
            if len(__a) == 1:
                break
            else:
                __UpperCamelCase     :Optional[Any]			  =		get_pairs(__a)
        __UpperCamelCase     :List[str]			  =		'''@@ '''.join(__a)
        __UpperCamelCase     :Any			  =		word[:-4]
        __UpperCamelCase     :Tuple			  =		word
        return word







    def 			UpperCamelCase__   (	self , __lowercase)       ->	Any:
        __UpperCamelCase     :str			  =		[]

        __UpperCamelCase     :Optional[int]			  =		re.findall(r'''\S+\n?''' , __a)

        for token in words:
            split_tokens.extend(list(self.bpe(__a).split(''' ''')))
        return split_tokens







    def 			UpperCamelCase__   (	self , __lowercase)       ->	List[str]:
        return self.encoder.get(__a , self.encoder.get(self.unk_token))







    def 			UpperCamelCase__   (	self , __lowercase)       ->	Union[str, Any]:
        return self.decoder.get(__a , self.unk_token)







    def 			UpperCamelCase__   (	self , __lowercase)       ->	List[Any]:
        __UpperCamelCase     :Tuple			  =		''' '''.join(__a).replace('''@@ ''' , '''''').strip()
        return out_string







    def 			UpperCamelCase__   (	self , __lowercase , __lowercase = None)       ->	Tuple[str]:
        if not os.path.isdir(__a):
            logger.error(f"""Vocabulary path ({save_directory}) should be a directory""")
            return
        __UpperCamelCase     :Tuple			  =		os.path.join(
            __a , (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file'''])
        __UpperCamelCase     :Tuple			  =		os.path.join(
            __a , (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''merges_file'''])

        if os.path.abspath(self.vocab_file) != os.path.abspath(__a):
            copyfile(self.vocab_file , __a)

        if os.path.abspath(self.merges_file) != os.path.abspath(__a):
            copyfile(self.merges_file , __a)

        return out_vocab_file, out_merge_file







    def 			UpperCamelCase__   (	self , __lowercase)       ->	List[str]:
        if isinstance(__a , __a):
            try:
                with open(__a , '''r''' , encoding='''utf-8''') as fd:
                    self.add_from_file(__a)
            except FileNotFoundError as fnfe:
                raise fnfe
            except UnicodeError:
                raise Exception(f"""Incorrect encoding detected in {f}, please rebuild the dataset""")
            return

        __UpperCamelCase     :Union[str, Any]			  =		f.readlines()
        for lineTmp in lines:
            __UpperCamelCase     :Tuple			  =		lineTmp.strip()
            __UpperCamelCase     :Union[str, Any]			  =		line.rfind(''' ''')
            if idx == -1:
                raise ValueError('''Incorrect dictionary format, expected \'<token> <cnt>\'''')
            __UpperCamelCase     :Tuple			  =		line[:idx]
            __UpperCamelCase     :Union[str, Any]			  =		len(self.encoder)







"""simple docstring"""





import numpy as np
from cva import COLOR_BGR2GRAY, CV_8UC3, cvtColor, filteraD, imread, imshow, waitKey



def       lowerCamelCase__		(			__snake_case,     __snake_case,     __snake_case,     __snake_case,     __snake_case,     __snake_case	)							->		np.ndarray:


					"""simple docstring"""





					if (ksize % 2) == 0:
										_UpperCamelCase							 =  ksize + 1
					_UpperCamelCase							 =  np.zeros((ksize, ksize),     dtype=np.floataa	)

					# each value
					for y in range(__snake_case	):
										for x in range(__snake_case	):
															# distance from center
															_UpperCamelCase							 =  x - ksize // 2
															_UpperCamelCase							 =  y - ksize // 2

															# degree to radiant
															_UpperCamelCase							 =  theta / 1_80 * np.pi
															_UpperCamelCase							 =  np.cos(_theta	)
															_UpperCamelCase							 =  np.sin(_theta	)

															# get kernel x
															_UpperCamelCase							 =  cos_theta * px + sin_theta * py

															# get kernel y
															_UpperCamelCase							 =  -sin_theta * px + cos_theta * py

															# fill kernel
															_UpperCamelCase							 =  np.exp(
															    -(_x**2 + gamma**2 * _y**2) / (2 * sigma**2)	) * np.cos(2 * np.pi * _x / lambd + psi	)

					return gabor


if __name__ == "__main__":
				import doctest

				doctest.testmod()
				# read original image
				_a														=		imread("""../image_data/lena.jpg""")
				# turn image in gray scale value
				_a														=		cvtColor(img, COLOR_BGR2GRAY)

				# Apply multiple Kernel to detect edges
				_a														=		np.zeros(gray.shape[:2])
				for theta in [0, 30, 60, 90, 120, 150]:
								_a														=		gabor_filter_kernel(10, 8, theta, 10, 0, 0)
								out += filteraD(gray, CV_8UC3, kernel_aa)
				_a														=		out / out.max() * 255
				_a														=		out.astype(np.uinta)

				imshow("""Original""", gray)
				imshow("""Gabor filter with 20x20 mask and 6 directions""", out)

				waitKey(0)






