'''simple docstring'''

import json
from typing import Iterator, List, Union

from tokenizers import AddedToken, Regex, Tokenizer, decoders, normalizers, pre_tokenizers, trainers
from tokenizers.implementations.base_tokenizer import BaseTokenizer
from tokenizers.models import Unigram
from tokenizers.processors import TemplateProcessing



class 		lowerCamelCase__      (						A     ):




					'''simple docstring'''



					def __init__(  self				:	Optional[Any]     ,  UpperCamelCase_				:	str = "▁"     ,  UpperCamelCase_				:	bool = True     ,  UpperCamelCase_				:	Union[str, AddedToken] = "<unk>"     ,  UpperCamelCase_				:	Union[str, AddedToken] = "</s>"     ,  UpperCamelCase_				:	Union[str, AddedToken] = "<pad>"     ,  )  ->       Any:



						'''simple docstring'''





						_lowercase					:       Tuple       =		{
						    'pad': {'id': 0, 'token': pad_token},
						    'eos': {'id': 1, 'token': eos_token},
						    'unk': {'id': 2, 'token': unk_token},
						}

						_lowercase					:       Tuple       =		[None] * len(self.special_tokens					)
						for token_dict in self.special_tokens.values():
							_lowercase					:       str       =		token_dict['token']

						_lowercase					:       Optional[Any]       =		Tokenizer(Unigram()					)

						_lowercase					:       Dict       =		normalizers.Sequence(
						    [
						        normalizers.Nmt(),
						        normalizers.NFKC(),
						        normalizers.Replace(Regex(' {2,}'					)     ,  ' '					),
						        normalizers.Lowercase(),
						    ]					)
						_lowercase					:       str       =		pre_tokenizers.Sequence(
						    [
						        pre_tokenizers.Metaspace(replacement=__UpperCamelCase     ,  add_prefix_space=__UpperCamelCase					),
						        pre_tokenizers.Digits(individual_digits=__UpperCamelCase					),
						        pre_tokenizers.Punctuation(),
						    ]					)
						_lowercase					:       int       =		decoders.Metaspace(replacement=__UpperCamelCase     ,  add_prefix_space=__UpperCamelCase					)

						_lowercase					:       int       =		TemplateProcessing(
						    single=F'''$A {self.special_tokens["eos"]["token"]}'''     ,  special_tokens=[(self.special_tokens['eos']['token'], self.special_tokens['eos']['id'])]     ,  )

						_lowercase					:       Tuple       =		{
						    'model': 'SentencePieceUnigram',
						    'replacement': replacement,
						    'add_prefix_space': add_prefix_space,
						}

						super().__init__(__UpperCamelCase     ,  __UpperCamelCase					)




					def 						__UpperCAmelCase     (  self				:	Union[str, Any]     ,  UpperCamelCase_				:	Union[str, List[str]]     ,  UpperCamelCase_				:	int = 8000     ,  UpperCamelCase_				:	bool = True     ,  )  ->       Any:



						'''simple docstring'''





						_lowercase					:       Optional[Any]       =		trainers.UnigramTrainer(
						    vocab_size=__UpperCamelCase     ,  special_tokens=self.special_tokens_list     ,  show_progress=__UpperCamelCase     ,  )

						if isinstance(__UpperCamelCase     ,  __UpperCamelCase					):
							_lowercase					:       str       =		[files]
						self._tokenizer.train(__UpperCamelCase     ,  trainer=__UpperCamelCase					)

						self.add_unk_id()




					def 						__UpperCAmelCase     (  self				:	List[Any]     ,  UpperCamelCase_				:	Union[Iterator[str], Iterator[Iterator[str]]]     ,  UpperCamelCase_				:	int = 8000     ,  UpperCamelCase_				:	bool = True     ,  )  ->       Union[str, Any]:



						'''simple docstring'''





						_lowercase					:       Tuple       =		trainers.UnigramTrainer(
						    vocab_size=__UpperCamelCase     ,  special_tokens=self.special_tokens_list     ,  show_progress=__UpperCamelCase     ,  )

						self._tokenizer.train_from_iterator(__UpperCamelCase     ,  trainer=__UpperCamelCase					)

						self.add_unk_id()




					def 						__UpperCAmelCase     (  self				:	Optional[Any]					)  ->       Optional[Any]:



						'''simple docstring'''





						_lowercase					:       Dict       =		json.loads(self._tokenizer.to_str()					)

						_lowercase					:       int       =		self.special_tokens['unk']['id']

						_lowercase					:       Optional[int]       =		Tokenizer.from_str(json.dumps(__UpperCamelCase					)					)





'''simple docstring'''

_A				:    Optional[Any]     						='''ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/'''







def 						__UpperCamelCase				(							_lowercase					) ->			bytes:
	# Make sure the supplied data is a bytes-like object
	if not isinstance(_lowercase,				_lowercase					):
		_lowercase					:       Union[str, Any]       =		f'''a bytes-like object is required, not \'{data.__class__.__name__}\''''
		raise TypeError(_lowercase					)

	_lowercase					:       int       =		''.join(bin(_lowercase					)[2:].zfill(8					) for byte in data					)

	_lowercase					:       Dict       =		len(_lowercase					) % 6 != 0

	if padding_needed:
		# The padding that will be added later
		_lowercase					:       Optional[Any]       =		B'=' * ((6 - len(_lowercase					) % 6) // 2)

		# Append binary_stream with arbitrary binary digits (0's by default) to make its
		# length a multiple of 6.
		binary_stream += "0" * (6 - len(_lowercase					) % 6)
	else:
		_lowercase					:       Optional[int]       =		B''

	# Encode every 6 binary digits to their corresponding Base64 character
	return (
	    "".join(
	        B64_CHARSET[int(binary_stream[index : index + 6],				2					)]
	        for index in range(0,				len(_lowercase					),				6					)					).encode()
	    + padding
	)







def 						__UpperCamelCase				(							_lowercase					) ->			bytes:
	# Make sure encoded_data is either a string or a bytes-like object
	if not isinstance(_lowercase,				_lowercase					) and not isinstance(_lowercase,				_lowercase					):
		_lowercase					:       int       =		(
		    'argument should be a bytes-like object or ASCII string, '
		    f'''not \'{encoded_data.__class__.__name__}\''''
		)
		raise TypeError(_lowercase					)

	# In case encoded_data is a bytes-like object, make sure it contains only
	# ASCII characters so we convert it to a string object
	if isinstance(_lowercase,				_lowercase					):
		try:
			_lowercase					:       Optional[int]       =		encoded_data.decode('utf-8'					)
		except UnicodeDecodeError:
			raise ValueError('base64 encoded data should only contain ASCII characters'					)

	_lowercase					:       Optional[int]       =		encoded_data.count('='					)

	# Check if the encoded string contains non base64 characters
	if padding:
		assert all(
		    char in B64_CHARSET for char in encoded_data[:-padding]					), "Invalid base64 character(s) found."
	else:
		assert all(
		    char in B64_CHARSET for char in encoded_data					), "Invalid base64 character(s) found."

	# Check the padding
	assert len(_lowercase					) % 4 == 0 and padding < 3, "Incorrect padding"

	if padding:
		# Remove padding if there is one
		_lowercase					:       str       =		encoded_data[:-padding]

		_lowercase					:       Tuple       =		''.join(
		    bin(B64_CHARSET.index(_lowercase					)					)[2:].zfill(6					) for char in encoded_data					)[: -padding * 2]
	else:
		_lowercase					:       Union[str, Any]       =		''.join(
		    bin(B64_CHARSET.index(_lowercase					)					)[2:].zfill(6					) for char in encoded_data					)

	_lowercase					:       List[str]       =		[
	    int(binary_stream[index : index + 8],				2					)
	    for index in range(0,				len(_lowercase					),				8					)
	]

	return bytes(_lowercase					)


if __name__ == "__main__":
		import doctest

		doctest.testmod()
