




import json
import os
from typing import Optional, Tuple

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


__A								=       logging.get_logger(__name__)

__A								=       {"vocab_file": "vocab.json"}

__A								=       {
    "vocab_file": {
        "mgp-str": "https://huggingface.co/alibaba-damo/mgp-str-base/blob/main/vocab.json",
    }
}

__A								=       {"mgp-str": 27}







class        __lowerCAmelCase					(			__magic_name__					):

			"""simple docstring"""







			snake_case_  						=			VOCAB_FILES_NAMES
			snake_case_  						=			PRETRAINED_VOCAB_FILES_MAP
			snake_case_  						=			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES


			def __init__( self     ,		lowerCamelCase__     ,		lowerCamelCase__="[GO]"     ,		lowerCamelCase__="[GO]"     ,		lowerCamelCase__="[s]"     ,		lowerCamelCase__="[GO]"     ,		**lowerCamelCase__				)       -> Dict:



							'''simple docstring'''
							super().__init__(
							    unk_token=lowerCamelCase__     ,		bos_token=lowerCamelCase__     ,		eos_token=lowerCamelCase__     ,		pad_token=lowerCamelCase__     ,		**lowerCamelCase__     ,		)

							with open(lowerCamelCase__     ,		encoding='utf-8'				) as vocab_handle:
											__lowerCamelCase									=       json.load(lowerCamelCase__				)
							__lowerCamelCase									=       {v: k for k, v in self.vocab.items()}


			@property
			def  lowercase_       ( self				)       -> Union[str, Any]:



							'''simple docstring'''
							return len(self.vocab				)


			def  lowercase_       ( self				)       -> Optional[int]:



							'''simple docstring'''
							return dict(self.vocab     ,		**self.added_tokens_encoder				)


			def  lowercase_       ( self     ,		lowerCamelCase__				)       -> List[str]:



							'''simple docstring'''
							__lowerCamelCase									=       []
							for s in text:
											char_tokens.extend(lowerCamelCase__				)
							return char_tokens


			def  lowercase_       ( self     ,		lowerCamelCase__				)       -> Tuple:



							'''simple docstring'''
							return self.vocab.get(lowerCamelCase__     ,		self.vocab.get(self.unk_token				)				)


			def  lowercase_       ( self     ,		lowerCamelCase__				)       -> Tuple:



							'''simple docstring'''
							return self.decoder.get(lowerCamelCase__				)






			def  lowercase_       ( self     ,		lowerCamelCase__     ,		lowerCamelCase__ = None				)       -> Tuple[str]:



							'''simple docstring'''
							if not os.path.isdir(lowerCamelCase__				):
											logger.error('Vocabulary path ({}) should be a directory'.format(lowerCamelCase__				)				)
											return
							__lowerCamelCase									=       os.path.join(
							    lowerCamelCase__     ,		(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']				)

							with open(lowerCamelCase__     ,		'w'     ,		encoding='utf-8'				) as f:
											f.write(json.dumps(self.vocab     ,		indent=2     ,		sort_keys=lowerCamelCase__     ,		ensure_ascii=lowerCamelCase__				) + '\n'				)

							return (vocab_file,)








def      lowerCamelCase_						(			UpperCamelCase__							: str					,	UpperCamelCase__							: int )	->			list:





				"""simple docstring"""


				__lowerCamelCase									=       word.split()

				def justify(UpperCamelCase__							: list					,	UpperCamelCase__							: int					,	UpperCamelCase__							: int ) -> str:
								__lowerCamelCase									=       max_width - width
								__lowerCamelCase									=       len(UpperCamelCase__ )
								if len(UpperCamelCase__ ) == 1:
												# if there is only word in line
												# just insert overall_spaces_count for the remainder of line
												return line[0] + " " * overall_spaces_count
								else:
												__lowerCamelCase									=       words_count - 1
												# num_spaces_between_words_list[i] : tells you to insert
												# num_spaces_between_words_list[i] spaces
												# after word on line[i]
												__lowerCamelCase									=       spaces_to_insert_between_words * [
												    overall_spaces_count // spaces_to_insert_between_words
												]
												__lowerCamelCase									=       (
												    overall_spaces_count % spaces_to_insert_between_words
												)
												# distribute spaces via round robin to the left words
												for i in range(UpperCamelCase__ ):
																num_spaces_between_words_list[i] += 1
												__lowerCamelCase									=       []
												for i in range(UpperCamelCase__ ):
																# add the word
																aligned_words_list.append(line[i] )
																# add the spaces to insert
																aligned_words_list.append(num_spaces_between_words_list[i] * ' ' )
												# just add the last word to the sentence
												aligned_words_list.append(line[-1] )
												# join the aligned words list to form a justified line
												return "".join(UpperCamelCase__ )

				__lowerCamelCase									=       []
				__lowerCamelCase									=       []
				__lowerCamelCase									=       0
				for word in words:
								if width + len(UpperCamelCase__ ) + len(UpperCamelCase__ ) <= max_width:
												# keep adding words until we can fill out max_width
												# width = sum of length of all words (without overall_spaces_count)
												# len(word) = length of current word
												# len(line) = number of overall_spaces_count to insert between words
												line.append(UpperCamelCase__ )
												width += len(UpperCamelCase__ )
								else:
												# justify the line and add it to result
												answer.append(justify(UpperCamelCase__					,	UpperCamelCase__					,	UpperCamelCase__ ) )
												# reset new line and new width
												__lowerCamelCase			,		__lowerCamelCase									=       [word], len(UpperCamelCase__ )
				__lowerCamelCase									=       max_width - width - len(UpperCamelCase__ )
				answer.append(' '.join(UpperCamelCase__ ) + (remaining_spaces + 1) * ' ' )
				return answer


if __name__ == "__main__":
					from doctest import testmod

					testmod()


