






import json
import os
from pathlib import Path
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple, Union

import sentencepiece

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


a_		:    Dict   							=     logging.get_logger(__name__)

a_		:    Tuple   							=     '▁'

a_		:    str   							=     {
    'vocab_file': 'vocab.json',
    'spm_file': 'sentencepiece.bpe.model',
}

a_		:    Optional[Any]   							=     {
    'vocab_file': {
        'facebook/s2t-small-librispeech-asr': (
            'https://huggingface.co/facebook/s2t-small-librispeech-asr/resolve/main/vocab.json'
        ),
    },
    'spm_file': {
        'facebook/s2t-small-librispeech-asr': (
            'https://huggingface.co/facebook/s2t-small-librispeech-asr/resolve/main/sentencepiece.bpe.model'
        )
    },
}

a_		:    List[Any]   							=     {
    'facebook/s2t-small-librispeech-asr': 10_24,
}

a_		:    Any   							=     ['pt', 'fr', 'ru', 'nl', 'ro', 'it', 'es', 'de']

a_		:    Dict   							=     {'mustc': MUSTC_LANGS}

class 		_snake_case	(	A__       ):
			_lowercase		:     str        =				VOCAB_FILES_NAMES
			_lowercase		:     Dict        =				PRETRAINED_VOCAB_FILES_MAP
			_lowercase		:     Optional[int]        =				MAX_MODEL_INPUT_SIZES
			_lowercase		:     Optional[int]        =				['''input_ids''', '''attention_mask''']

			_lowercase		:     List[int]        =				[]






			def __init__(							self		,       a		,       a		,       a="<s>"		,       a="</s>"		,       a="<pad>"		,       a="<unk>"		,       a=False		,       a=False		,       a=None		,       a=None		,       a = None		,       **a		,       )   ->							None:
						SCREAMING_SNAKE_CASE							=			{} if sp_model_kwargs is None else sp_model_kwargs

						super().__init__(
						    bos_token=a		,       eos_token=a		,       unk_token=a		,       pad_token=a		,       do_upper_case=a		,       do_lower_case=a		,       tgt_lang=a		,       lang_codes=a		,       sp_model_kwargs=self.sp_model_kwargs		,       **a		,       )
						SCREAMING_SNAKE_CASE							=			do_upper_case
						SCREAMING_SNAKE_CASE							=			do_lower_case

						SCREAMING_SNAKE_CASE							=			load_json(a)
						SCREAMING_SNAKE_CASE							=			{v: k for k, v in self.encoder.items()}
						SCREAMING_SNAKE_CASE							=			spm_file
						SCREAMING_SNAKE_CASE							=			load_spm(a		,       self.sp_model_kwargs)

						if lang_codes is not None:
									SCREAMING_SNAKE_CASE							=			lang_codes
									SCREAMING_SNAKE_CASE							=			LANGUAGES[lang_codes]
									SCREAMING_SNAKE_CASE							=			[f'''<lang:{lang}>''' for lang in self.langs]
									SCREAMING_SNAKE_CASE							=			{lang: self.sp_model.PieceToId(f'''<lang:{lang}>''') for lang in self.langs}

									SCREAMING_SNAKE_CASE							=			self.lang_tokens
									SCREAMING_SNAKE_CASE							=			tgt_lang if tgt_lang is not None else self.langs[0]

									self.set_tgt_lang_special_tokens(self._tgt_lang)
						else:
									SCREAMING_SNAKE_CASE							=			{}






			@property
			def  SCREAMING_SNAKE_CASE__     (							self)   ->							int:
						return len(self.encoder)






			@property
			def  SCREAMING_SNAKE_CASE__     (							self)   ->							str:
						return self._tgt_lang






			@tgt_lang.setter
			def  SCREAMING_SNAKE_CASE__     (							self		,       a)   ->							None:
						SCREAMING_SNAKE_CASE							=			new_tgt_lang
						self.set_tgt_lang_special_tokens(a)






			def  SCREAMING_SNAKE_CASE__     (							self		,       a)   ->							None:
						SCREAMING_SNAKE_CASE							=			self.lang_code_to_id[tgt_lang]
						SCREAMING_SNAKE_CASE							=			[lang_code_id]






			def  SCREAMING_SNAKE_CASE__     (							self		,       a)   ->							List[str]:
						return self.sp_model.encode(a		,       out_type=a)






			def  SCREAMING_SNAKE_CASE__     (							self		,       a)   ->							Tuple:
						return self.encoder.get(a		,       self.encoder[self.unk_token])






			def  SCREAMING_SNAKE_CASE__     (							self		,       a)   ->							str:
						return self.decoder.get(a		,       self.unk_token)






			def  SCREAMING_SNAKE_CASE__     (							self		,       a)   ->							str:
						SCREAMING_SNAKE_CASE							=			[]
						SCREAMING_SNAKE_CASE							=			''
						for token in tokens:
									# make sure that special tokens are not decoded using sentencepiece model
									if token in self.all_special_tokens:
												SCREAMING_SNAKE_CASE							=			self.sp_model.decode(a)
												out_string += (decoded.upper() if self.do_upper_case else decoded) + token + " "
												SCREAMING_SNAKE_CASE							=			[]
									else:
												current_sub_tokens.append(a)
						SCREAMING_SNAKE_CASE							=			self.sp_model.decode(a)
						out_string += decoded.upper() if self.do_upper_case else decoded
						return out_string.strip()






			def  SCREAMING_SNAKE_CASE__     (							self		,       a		,       a=None)   ->							List[int]:
						if token_ids_a is None:
									return self.prefix_tokens + token_ids_a + [self.eos_token_id]
						# We don't expect to process pairs, but leave the pair logic for API consistency
						return self.prefix_tokens + token_ids_a + token_ids_a + [self.eos_token_id]






			def  SCREAMING_SNAKE_CASE__     (							self		,       a		,       a = None		,       a = 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)

						SCREAMING_SNAKE_CASE							=			[1] * len(self.prefix_tokens)
						SCREAMING_SNAKE_CASE							=			[1]
						if token_ids_a is None:
									return prefix_ones + ([0] * len(a)) + suffix_ones
						return prefix_ones + ([0] * len(a)) + ([0] * len(a)) + suffix_ones






			def  SCREAMING_SNAKE_CASE__     (							self)   ->							Dict:
						SCREAMING_SNAKE_CASE							=			self.encoder.copy()
						vocab.update(self.added_tokens_encoder)
						return vocab






			def __getstate__(							self)   ->							Dict:
						SCREAMING_SNAKE_CASE							=			self.__dict__.copy()
						SCREAMING_SNAKE_CASE							=			None
						return state






			def __setstate__(							self		,       a)   ->							None:
						SCREAMING_SNAKE_CASE							=			d

						# for backward compatibility
						if not hasattr(self		,       'sp_model_kwargs'):
									SCREAMING_SNAKE_CASE							=			{}

						SCREAMING_SNAKE_CASE							=			load_spm(self.spm_file		,       self.sp_model_kwargs)







			def  SCREAMING_SNAKE_CASE__     (							self		,       a		,       a = None)   ->							Tuple[str]:
						SCREAMING_SNAKE_CASE							=			Path(a)
						assert save_dir.is_dir(), f'''{save_directory} should be a directory'''
						SCREAMING_SNAKE_CASE							=			save_dir / (
						    (filename_prefix + '-' if filename_prefix else '') + self.vocab_files_names['vocab_file']
						)
						SCREAMING_SNAKE_CASE							=			save_dir / (
						    (filename_prefix + '-' if filename_prefix else '') + self.vocab_files_names['spm_file']
						)

						save_json(self.encoder		,       a)

						if os.path.abspath(self.spm_file) != os.path.abspath(a) and os.path.isfile(self.spm_file):
									copyfile(self.spm_file		,       a)
						elif not os.path.isfile(self.spm_file):
									with open(a		,       'wb') as fi:
												SCREAMING_SNAKE_CASE							=			self.sp_model.serialized_model_proto()
												fi.write(a)

						return (str(a), str(a))






def 					lowerCamelCase__					(_UpperCAmelCase				,							_UpperCAmelCase):
			SCREAMING_SNAKE_CASE							=			sentencepiece.SentencePieceProcessor(**_UpperCAmelCase)
			spm.Load(str(_UpperCAmelCase))
			return spm






def 					lowerCamelCase__					(_UpperCAmelCase):
			with open(_UpperCAmelCase				,							'r') as f:
						return json.load(_UpperCAmelCase)







def 					lowerCamelCase__					(_UpperCAmelCase				,							_UpperCAmelCase):
			with open(_UpperCAmelCase				,							'w') as f:
						json.dump(_UpperCAmelCase				,							_UpperCAmelCase				,							indent=2)












"""simple docstring"""
import importlib.metadata
import operator
import re
import sys
from typing import Optional

from packaging import version


lowerCamelCase_							      = {
    '''<''': operator.lt,
    '''<=''': operator.le,
    '''==''': operator.eq,
    '''!=''': operator.ne,
    '''>=''': operator.ge,
    '''>''': operator.gt,
}

def 							snake_case (  A__      ,A__      ,A__      ,A__      ,A__      ,A__		):
			if got_ver is None or want_ver is None:
						raise ValueError(
						    F"""Unable to compare versions for {requirement}: need={want_ver} found={got_ver}. This is unusual. Consider"""
						    F""" reinstalling {pkg}."""		)
			if not ops[op](version.parse(A__		)      ,version.parse(A__		)		):
						raise ImportError(
						    F"""{requirement} is required for a normal functioning of this module, but found {pkg}=={got_ver}.{hint}"""		)

def 							snake_case (  A__      ,A__ = None		):
			UpperCAmelCase_	:					int     	=   F"""\n{hint}""" if hint is not None else ""

			# non-versioned check
			if re.match(r"^[\w_\-\d]+$"      ,A__		):
						UpperCAmelCase_	,      UpperCAmelCase_	,      UpperCAmelCase_	:					Optional[Any]     	=   requirement, None, None
			else:
						UpperCAmelCase_	:					Optional[int]     	=   re.findall(r"^([^!=<>\s]+)([\s!=<>]{1,2}.+)"      ,A__		)
						if not match:
									raise ValueError(
									    "requirement needs to be in the pip package format, .e.g., package_a==1.23, or package_b>=1.23, but"
									    F""" got {requirement}"""		)
						UpperCAmelCase_	,      UpperCAmelCase_	:					List[str]     	=   match[0]
						UpperCAmelCase_	:					Optional[Any]     	=   want_full.split(","		)  # there could be multiple requirements
						UpperCAmelCase_	:					int     	=   {}
						for w in want_range:
									UpperCAmelCase_	:					str     	=   re.findall(r"^([\s!=<>]{1,2})(.+)"      ,A__		)
									if not match:
												raise ValueError(
												    "requirement needs to be in the pip package format, .e.g., package_a==1.23, or package_b>=1.23,"
												    F""" but got {requirement}"""		)
									UpperCAmelCase_	,      UpperCAmelCase_	:					Any     	=   match[0]
									UpperCAmelCase_	:					Union[str, Any]     	=   want_ver
									if op not in ops:
												raise ValueError(F"""{requirement}: need one of {list(ops.keys()		)}, but got {op}"""		)

    # special case
			if pkg == "python":
						UpperCAmelCase_	:					List[Any]     	=   ".".join([str(A__		) for x in sys.version_info[:3]]		)
						for op, want_ver in wanted.items():
									_compare_versions(A__      ,A__      ,A__      ,A__      ,A__      ,A__		)
						return

			# check if any version is installed
			try:
						UpperCAmelCase_	:					str     	=   importlib.metadata.version(A__		)
			except importlib.metadata.PackageNotFoundError:
						raise importlib.metadata.PackageNotFoundError(
						    F"""The '{requirement}' distribution was not found and is required by this application. {hint}"""		)

			# check that the right version is installed if version number or a range was provided
			if want_ver is not None:
						for op, want_ver in wanted.items():
									_compare_versions(A__      ,A__      ,A__      ,A__      ,A__      ,A__		)




def 							snake_case (  A__		):
			UpperCAmelCase_	:					Any     	=   "Try: pip install transformers -U or pip install -e '.[dev]' if you're working with git main"
			return require_version(A__      ,A__		)



