





import json
import os
import re
import unicodedata
from json.encoder import INFINITY
from typing import Any, Dict, List, Optional, Tuple, Union

import numpy as np
import regex

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...tokenization_utils_base import BatchEncoding
from ...utils import TensorType, is_flax_available, is_tf_available, is_torch_available, logging
from ...utils.generic import _is_jax, _is_numpy


snake_case_							=			logging.get_logger(__name__)

snake_case_							=			{
    '''artists_file''': '''artists.json''',
    '''lyrics_file''': '''lyrics.json''',
    '''genres_file''': '''genres.json''',
}

snake_case_							=			{
    '''artists_file''': {
        '''jukebox''': '''https://huggingface.co/ArthurZ/jukebox/blob/main/artists.json''',
    },
    '''genres_file''': {
        '''jukebox''': '''https://huggingface.co/ArthurZ/jukebox/blob/main/genres.json''',
    },
    '''lyrics_file''': {
        '''jukebox''': '''https://huggingface.co/ArthurZ/jukebox/blob/main/lyrics.json''',
    },
}

snake_case_							=			{
    '''jukebox''': 5_1_2,
}
class        snake_case_		(			_UpperCamelCase):
		lowerCamelCase    :Optional[Any]						=     VOCAB_FILES_NAMES
		lowerCamelCase    :int						=     PRETRAINED_VOCAB_FILES_MAP
		lowerCamelCase    :Optional[int]						=     PRETRAINED_LYRIC_TOKENS_SIZES
		lowerCamelCase    :Optional[Any]						=     ["input_ids", "attention_mask"]







		def __init__(		self			,     __lowercase			,     __lowercase			,     __lowercase			,     __lowercase=["v3", "v2", "v2"]			,     __lowercase=5_1_2			,     __lowercase=5			,     __lowercase="<|endoftext|>"			,     **__lowercase			,     )				->   Optional[int]:
				lowerCamelCase   : int								=AddedToken(_UpperCAmelCase			,     lstrip=_UpperCAmelCase			,     rstrip=_UpperCAmelCase   ) if isinstance(_UpperCAmelCase			,     _UpperCAmelCase   ) else unk_token
				super().__init__(
				    unk_token=_UpperCAmelCase			,     n_genres=_UpperCAmelCase			,     version=_UpperCAmelCase			,     max_n_lyric_tokens=_UpperCAmelCase			,     **_UpperCAmelCase			,     )
				lowerCamelCase   : Dict								=version
				lowerCamelCase   : Dict								=max_n_lyric_tokens
				lowerCamelCase   : Dict								=n_genres

				with open(_UpperCAmelCase			,     encoding='''utf-8'''   ) as vocab_handle:
						lowerCamelCase   : Tuple								=json.load(_UpperCAmelCase   )

				with open(_UpperCAmelCase			,     encoding='''utf-8'''   ) as vocab_handle:
						lowerCamelCase   : str								=json.load(_UpperCAmelCase   )

				with open(_UpperCAmelCase			,     encoding='''utf-8'''   ) as vocab_handle:
						lowerCamelCase   : Tuple								=json.load(_UpperCAmelCase   )

				lowerCamelCase   : int								=R'''[^A-Za-z0-9.,:;!?\-\'\"()\[\] \t\n]+'''
				# In v2, we had a n_vocab=80 and in v3 we missed + and so n_vocab=79 of characters.
				if len(self.lyrics_encoder   ) == 7_9:
						lowerCamelCase   : Any								=oov.replace(R'''\-\''''			,     R'''\-+\''''   )

				lowerCamelCase   : str								=regex.compile(_UpperCAmelCase   )
				lowerCamelCase   : int								={v: k for k, v in self.artists_encoder.items()}
				lowerCamelCase   : str								={v: k for k, v in self.genres_encoder.items()}
				lowerCamelCase   : str								={v: k for k, v in self.lyrics_encoder.items()}







		@property
		def 			__lowercase   (		self   )				->   int:
				return len(self.artists_encoder   ) + len(self.genres_encoder   ) + len(self.lyrics_encoder   )







		def 			__lowercase   (		self   )				->   Any:
				return dict(self.artists_encoder			,     self.genres_encoder			,     self.lyrics_encoder   )







		def 			__lowercase   (		self			,     __lowercase			,     __lowercase			,     __lowercase   )				->   List[Any]:
				lowerCamelCase   : List[str]								=[self.artists_encoder.get(_UpperCAmelCase			,     0   ) for artist in list_artists]
				for genres in range(len(_UpperCAmelCase   )   ):
						lowerCamelCase   : int								=[self.genres_encoder.get(_UpperCAmelCase			,     0   ) for genre in list_genres[genres]]
						lowerCamelCase   : List[Any]								=list_genres[genres] + [-1] * (self.n_genres - len(list_genres[genres]   ))

				lowerCamelCase   : str								=[[self.lyrics_encoder.get(_UpperCAmelCase			,     0   ) for character in list_lyrics[0]], [], []]
				return artists_id, list_genres, lyric_ids







		def 			__lowercase   (		self			,     __lowercase   )				->   int:
				return list(_UpperCAmelCase   )







		def 			__lowercase   (		self			,     __lowercase			,     __lowercase			,     __lowercase			,     **__lowercase   )				->   Optional[int]:
				lowerCamelCase   : str								=self.prepare_for_tokenization(_UpperCAmelCase			,     _UpperCAmelCase			,     _UpperCAmelCase   )
				lowerCamelCase   : Optional[Any]								=self._tokenize(_UpperCAmelCase   )
				return artist, genre, lyrics







		def 			__lowercase   (		self			,     __lowercase			,     __lowercase			,     __lowercase			,     __lowercase = False   )				->   Tuple:
				for idx in range(len(self.version   )   ):
						if self.version[idx] == "v3":
								lowerCamelCase   : Any								=artists[idx].lower()
								lowerCamelCase   : Optional[int]								=[genres[idx].lower()]
						else:
								lowerCamelCase   : int								=self._normalize(artists[idx]   ) + '''.v2'''
								lowerCamelCase   : Tuple								=[
								    self._normalize(_UpperCAmelCase   ) + '''.v2''' for genre in genres[idx].split('''_'''   )
								]  # split is for the full dictionary with combined genres

				if self.version[0] == "v2":
						lowerCamelCase   : Dict								=regex.compile(R'''[^A-Za-z0-9.,:;!?\-\'\"()\[\] \t\n]+'''   )
						lowerCamelCase   : Dict								='''ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789.,:;!?-+\'\"()[] \t\n'''
						lowerCamelCase   : List[Any]								={vocab[index]: index + 1 for index in range(len(_UpperCAmelCase   )   )}
						lowerCamelCase   : Optional[Any]								=0
						lowerCamelCase   : Union[str, Any]								=len(_UpperCAmelCase   ) + 1
						lowerCamelCase   : Union[str, Any]								=self.vocab
						lowerCamelCase   : Dict								={v: k for k, v in self.vocab.items()}
						lowerCamelCase   : Tuple								=''''''
				else:
						lowerCamelCase   : int								=regex.compile(R'''[^A-Za-z0-9.,:;!?\-+\'\"()\[\] \t\n]+'''   )

				lowerCamelCase   : str								=self._run_strip_accents(_UpperCAmelCase   )
				lowerCamelCase   : str								=lyrics.replace('''\\'''			,     '''\n'''   )
				lowerCamelCase   : Dict								=self.out_of_vocab.sub(''''''			,     _UpperCAmelCase   ), [], []
				return artists, genres, lyrics







		def 			__lowercase   (		self			,     __lowercase   )				->   int:
				lowerCamelCase   : str								=unicodedata.normalize('''NFD'''			,     _UpperCAmelCase   )
				lowerCamelCase   : Dict								=[]
				for char in text:
						lowerCamelCase   : Dict								=unicodedata.category(_UpperCAmelCase   )
						if cat == "Mn":
								continue
						output.append(_UpperCAmelCase   )
				return "".join(_UpperCAmelCase   )







		def 			__lowercase   (		self			,     __lowercase   )				->   Dict:
				lowerCamelCase   : List[str]								=(
				    [chr(_UpperCAmelCase   ) for i in range(ord('''a'''   )			,     ord('''z'''   ) + 1   )]
				    + [chr(_UpperCAmelCase   ) for i in range(ord('''A'''   )			,     ord('''Z'''   ) + 1   )]
				    + [chr(_UpperCAmelCase   ) for i in range(ord('''0'''   )			,     ord('''9'''   ) + 1   )]
				    + ['''.''']
				)
				lowerCamelCase   : Optional[Any]								=frozenset(_UpperCAmelCase   )
				lowerCamelCase   : Any								=re.compile(R'''_+'''   )
				lowerCamelCase   : Dict								=''''''.join([c if c in accepted else '''_''' for c in text.lower()]   )
				lowerCamelCase   : Optional[int]								=pattern.sub('''_'''			,     _UpperCAmelCase   ).strip('''_'''   )
				return text







		def 			__lowercase   (		self			,     __lowercase   )				->   str:
				return " ".join(_UpperCAmelCase   )







		def 			__lowercase   (		self			,     __lowercase			,     __lowercase = None			,     __lowercase = False   )				->   Optional[int]:
				# Convert to TensorType
				if not isinstance(_UpperCAmelCase			,     _UpperCAmelCase   ):
						lowerCamelCase   : Dict								=TensorType(_UpperCAmelCase   )

				# Get a function reference for the correct framework
				if tensor_type == TensorType.TENSORFLOW:
						if not is_tf_available():
								raise ImportError(
								    '''Unable to convert output to TensorFlow tensors format, TensorFlow is not installed.'''   )
						import tensorflow as tf

						lowerCamelCase   : int								=tf.constant
						lowerCamelCase   : str								=tf.is_tensor
				elif tensor_type == TensorType.PYTORCH:
						if not is_torch_available():
								raise ImportError('''Unable to convert output to PyTorch tensors format, PyTorch is not installed.'''   )
						import torch

						lowerCamelCase   : List[Any]								=torch.tensor
						lowerCamelCase   : Any								=torch.is_tensor
				elif tensor_type == TensorType.JAX:
						if not is_flax_available():
								raise ImportError('''Unable to convert output to JAX tensors format, JAX is not installed.'''   )
						import jax.numpy as jnp  # noqa: F811

						lowerCamelCase   : Dict								=jnp.array
						lowerCamelCase   : Tuple								=_is_jax
				else:
						lowerCamelCase   : Union[str, Any]								=np.asarray
						lowerCamelCase   : List[Any]								=_is_numpy

				# Do the tensor conversion in batch

				try:
						if prepend_batch_axis:
								lowerCamelCase   : Union[str, Any]								=[inputs]

						if not is_tensor(_UpperCAmelCase   ):
								lowerCamelCase   : Optional[Any]								=as_tensor(_UpperCAmelCase   )
				except:  # noqa E722
						raise ValueError(
						    '''Unable to create tensor, you should probably activate truncation and/or padding '''
						    '''with \'padding=True\' \'truncation=True\' to have batched tensors with the same length.'''   )

				return inputs







		def __call__(		self			,     __lowercase			,     __lowercase			,     __lowercase=""			,     __lowercase="pt"   )				->   Tuple:
				lowerCamelCase   : List[Any]								=[0, 0, 0]
				lowerCamelCase   : Union[str, Any]								=[artist] * len(self.version   )
				lowerCamelCase   : List[str]								=[genres] * len(self.version   )

				lowerCamelCase   : Any								=self.tokenize(_UpperCAmelCase			,     _UpperCAmelCase			,     _UpperCAmelCase   )
				lowerCamelCase   : int								=self._convert_token_to_id(_UpperCAmelCase			,     _UpperCAmelCase			,     _UpperCAmelCase   )

				lowerCamelCase   : List[Any]								=[-INFINITY] * len(full_tokens[-1]   )
				lowerCamelCase   : str								=[
				    self.convert_to_tensors(
				        [input_ids + [artists_id[i]] + genres_ids[i] + full_tokens[i]]			,     tensor_type=_UpperCAmelCase   )
				    for i in range(len(self.version   )   )
				]
				return BatchEncoding({'''input_ids''': input_ids, '''attention_masks''': attention_masks}   )







		def 			__lowercase   (		self			,     __lowercase			,     __lowercase = None   )				->   Optional[Any]:
				if not os.path.isdir(_UpperCAmelCase   ):
						logger.error(F"Vocabulary path ({save_directory}) should be a directory"   )
						return

				lowerCamelCase   : Any								=os.path.join(
				    _UpperCAmelCase			,     (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''artists_file''']   )
				with open(_UpperCAmelCase			,     '''w'''			,     encoding='''utf-8'''   ) as f:
						f.write(json.dumps(self.artists_encoder			,     ensure_ascii=_UpperCAmelCase   )   )

				lowerCamelCase   : int								=os.path.join(
				    _UpperCAmelCase			,     (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''genres_file''']   )
				with open(_UpperCAmelCase			,     '''w'''			,     encoding='''utf-8'''   ) as f:
						f.write(json.dumps(self.genres_encoder			,     ensure_ascii=_UpperCAmelCase   )   )

				lowerCamelCase   : List[Any]								=os.path.join(
				    _UpperCAmelCase			,     (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''lyrics_file''']   )
				with open(_UpperCAmelCase			,     '''w'''			,     encoding='''utf-8'''   ) as f:
						f.write(json.dumps(self.lyrics_encoder			,     ensure_ascii=_UpperCAmelCase   )   )

				return (artists_file, genres_file, lyrics_file)







		def 			__lowercase   (		self			,     __lowercase			,     __lowercase			,     __lowercase   )				->   Optional[int]:
				lowerCamelCase   : str								=self.artists_decoder.get(_UpperCAmelCase   )
				lowerCamelCase   : List[Any]								=[self.genres_decoder.get(_UpperCAmelCase   ) for genre in genres_index]
				lowerCamelCase   : Optional[Any]								=[self.lyrics_decoder.get(_UpperCAmelCase   ) for character in lyric_index]
				return artist, genres, lyrics








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 BatchEncoding, PreTrainedTokenizer
from ...utils import logging


snake_case_							=			logging.get_logger(__name__)

snake_case_							=			'''▁'''

snake_case_							=			{
    '''vocab_file''': '''vocab.json''',
    '''spm_file''': '''sentencepiece.bpe.model''',
    '''tokenizer_config_file''': '''tokenizer_config.json''',
}

snake_case_							=			{
    '''vocab_file''': {
        '''facebook/m2m100_418M''': '''https://huggingface.co/facebook/m2m100_418M/resolve/main/vocab.json''',
        '''facebook/m2m100_1.2B''': '''https://huggingface.co/facebook/m2m100_1.2B/resolve/main/vocab.json''',
    },
    '''spm_file''': {
        '''facebook/m2m100_418M''': '''https://huggingface.co/facebook/m2m100_418M/resolve/main/sentencepiece.bpe.model''',
        '''facebook/m2m100_1.2B''': '''https://huggingface.co/facebook/m2m100_1.2B/resolve/main/sentencepiece.bpe.model''',
    },
    '''tokenizer_config_file''': {
        '''facebook/m2m100_418M''': '''https://huggingface.co/facebook/m2m100_418M/resolve/main/tokenizer_config.json''',
        '''facebook/m2m100_1.2B''': '''https://huggingface.co/facebook/m2m100_1.2B/resolve/main/tokenizer_config.json''',
    },
}

snake_case_							=			{
    '''facebook/m2m100_418M''': 1_0_2_4,
}

# fmt: off
snake_case_							=			{
    '''m2m100''': ['''af''', '''am''', '''ar''', '''ast''', '''az''', '''ba''', '''be''', '''bg''', '''bn''', '''br''', '''bs''', '''ca''', '''ceb''', '''cs''', '''cy''', '''da''', '''de''', '''el''', '''en''', '''es''', '''et''', '''fa''', '''ff''', '''fi''', '''fr''', '''fy''', '''ga''', '''gd''', '''gl''', '''gu''', '''ha''', '''he''', '''hi''', '''hr''', '''ht''', '''hu''', '''hy''', '''id''', '''ig''', '''ilo''', '''is''', '''it''', '''ja''', '''jv''', '''ka''', '''kk''', '''km''', '''kn''', '''ko''', '''lb''', '''lg''', '''ln''', '''lo''', '''lt''', '''lv''', '''mg''', '''mk''', '''ml''', '''mn''', '''mr''', '''ms''', '''my''', '''ne''', '''nl''', '''no''', '''ns''', '''oc''', '''or''', '''pa''', '''pl''', '''ps''', '''pt''', '''ro''', '''ru''', '''sd''', '''si''', '''sk''', '''sl''', '''so''', '''sq''', '''sr''', '''ss''', '''su''', '''sv''', '''sw''', '''ta''', '''th''', '''tl''', '''tn''', '''tr''', '''uk''', '''ur''', '''uz''', '''vi''', '''wo''', '''xh''', '''yi''', '''yo''', '''zh''', '''zu'''],
    '''wmt21''': ['''en''', '''ha''', '''is''', '''ja''', '''cs''', '''ru''', '''zh''', '''de''']
}
class        snake_case_		(			_A):
		lowerCamelCase    :Union[str, Any]						=     VOCAB_FILES_NAMES
		lowerCamelCase    :List[Any]						=     PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
		lowerCamelCase    :str						=     PRETRAINED_VOCAB_FILES_MAP
		lowerCamelCase    :Union[str, Any]						=     ["input_ids", "attention_mask"]

		lowerCamelCase    :List[int]						=     []
		lowerCamelCase    :List[int]						=     []







		def __init__(		self			,     __lowercase			,     __lowercase			,     __lowercase=None			,     __lowercase=None			,     __lowercase="<s>"			,     __lowercase="</s>"			,     __lowercase="</s>"			,     __lowercase="<pad>"			,     __lowercase="<unk>"			,     __lowercase="m2m100"			,     __lowercase = None			,     __lowercase=8			,     **__lowercase			,     )				->   None:
				lowerCamelCase   : Union[str, Any]								={} if sp_model_kwargs is None else sp_model_kwargs

				lowerCamelCase   : List[str]								=language_codes
				lowerCamelCase   : int								=FAIRSEQ_LANGUAGE_CODES[language_codes]
				lowerCamelCase   : str								={lang_code: F"__{lang_code}__" for lang_code in fairseq_language_code}

				lowerCamelCase   : List[Any]								=kwargs.get('''additional_special_tokens'''			,     []   )
				kwargs["additional_special_tokens"] += [
				    self.get_lang_token(__lowercase   )
				    for lang_code in fairseq_language_code
				    if self.get_lang_token(__lowercase   ) not in kwargs["additional_special_tokens"]
				]

				super().__init__(
				    src_lang=__lowercase			,     tgt_lang=__lowercase			,     bos_token=__lowercase			,     eos_token=__lowercase			,     sep_token=__lowercase			,     unk_token=__lowercase			,     pad_token=__lowercase			,     language_codes=__lowercase			,     sp_model_kwargs=self.sp_model_kwargs			,     num_madeup_words=__lowercase			,     **__lowercase			,     )

				lowerCamelCase   : Dict								=vocab_file
				lowerCamelCase   : List[Any]								=load_json(__lowercase   )
				lowerCamelCase   : Optional[int]								={v: k for k, v in self.encoder.items()}
				lowerCamelCase   : List[Any]								=spm_file
				lowerCamelCase   : str								=load_spm(__lowercase			,     self.sp_model_kwargs   )

				lowerCamelCase   : Tuple								=len(self.encoder   )

				lowerCamelCase   : Optional[int]								={
				    self.get_lang_token(__lowercase   ): self.encoder_size + i for i, lang_code in enumerate(__lowercase   )
				}
				lowerCamelCase   : Tuple								={lang_code: self.encoder_size + i for i, lang_code in enumerate(__lowercase   )}
				lowerCamelCase   : Tuple								={v: k for k, v in self.lang_token_to_id.items()}

				lowerCamelCase   : Optional[Any]								=src_lang if src_lang is not None else '''en'''
				lowerCamelCase   : Any								=tgt_lang
				lowerCamelCase   : List[Any]								=self.get_lang_id(self._src_lang   )
				self.set_src_lang_special_tokens(self._src_lang   )

				lowerCamelCase   : Optional[Any]								=num_madeup_words







		@property
		def 			__lowercase   (		self   )				->   int:
				return len(self.encoder   ) + len(self.lang_token_to_id   )







		@property
		def 			__lowercase   (		self   )				->   str:
				return self._src_lang







		@src_lang.setter
		def 			__lowercase   (		self			,     __lowercase   )				->   None:
				lowerCamelCase   : Any								=new_src_lang
				self.set_src_lang_special_tokens(self._src_lang   )







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







		def 			__lowercase   (		self			,     __lowercase   )				->   Optional[Any]:
				if token in self.lang_token_to_id:
						return self.lang_token_to_id[token]
				return self.encoder.get(__lowercase			,     self.encoder[self.unk_token]   )







		def 			__lowercase   (		self			,     __lowercase   )				->   str:
				if index in self.id_to_lang_token:
						return self.id_to_lang_token[index]
				return self.decoder.get(__lowercase			,     self.unk_token   )







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







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

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

				lowerCamelCase   : int								=[1] * len(self.prefix_tokens   )
				lowerCamelCase   : List[str]								=[1] * len(self.suffix_tokens   )
				if token_ids_a is None:
						return prefix_ones + ([0] * len(__lowercase   )) + suffix_ones
				return prefix_ones + ([0] * len(__lowercase   )) + ([0] * len(__lowercase   )) + suffix_ones







		def 			__lowercase   (		self			,     __lowercase			,     __lowercase = None   )				->   List[int]:
				if token_ids_a is None:
						return self.prefix_tokens + token_ids_a + self.suffix_tokens
				# 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.suffix_tokens







		def 			__lowercase   (		self   )				->   Dict:
				lowerCamelCase   : Dict								={self.convert_ids_to_tokens(__lowercase   ): i for i in range(self.vocab_size   )}
				vocab.update(self.added_tokens_encoder   )
				return vocab







		def __getstate__(		self   )				->   Dict:
				lowerCamelCase   : Optional[Any]								=self.__dict__.copy()
				lowerCamelCase   : Union[str, Any]								=None
				return state







		def __setstate__(		self			,     __lowercase   )				->   None:
				lowerCamelCase   : int								=d

				# for backward compatibility
				if not hasattr(self			,     '''sp_model_kwargs'''   ):
						lowerCamelCase   : Optional[int]								={}

				lowerCamelCase   : Optional[Any]								=load_spm(self.spm_file			,     self.sp_model_kwargs   )







		def 			__lowercase   (		self			,     __lowercase			,     __lowercase = None   )				->   Tuple[str]:
				lowerCamelCase   : Optional[Any]								=Path(__lowercase   )
				if not save_dir.is_dir():
						raise OSError(F"{save_directory} should be a directory"   )
				lowerCamelCase   : List[str]								=save_dir / (
				    (filename_prefix + '''-''' if filename_prefix else '''''') + self.vocab_files_names['''vocab_file''']
				)
				lowerCamelCase   : Tuple								=save_dir / (
				    (filename_prefix + '''-''' if filename_prefix else '''''') + self.vocab_files_names['''spm_file''']
				)

				save_json(self.encoder			,     __lowercase   )

				if os.path.abspath(self.spm_file   ) != os.path.abspath(__lowercase   ) and os.path.isfile(self.spm_file   ):
						copyfile(self.spm_file			,     __lowercase   )
				elif not os.path.isfile(self.spm_file   ):
						with open(__lowercase			,     '''wb'''   ) as fi:
								lowerCamelCase   : List[Any]								=self.sp_model.serialized_model_proto()
								fi.write(__lowercase   )

				return (str(__lowercase   ), str(__lowercase   ))







		def 			__lowercase   (		self			,     __lowercase			,     __lowercase = "en"			,     __lowercase = None			,     __lowercase = "ro"			,     **__lowercase			,     )				->   BatchEncoding:
				lowerCamelCase   : Union[str, Any]								=src_lang
				lowerCamelCase   : Optional[int]								=tgt_lang
				self.set_src_lang_special_tokens(self.src_lang   )
				return super().prepare_seqaseq_batch(__lowercase			,     __lowercase			,     **__lowercase   )







		def 			__lowercase   (		self			,     __lowercase			,     __lowercase			,     __lowercase			,     **__lowercase   )				->   Optional[int]:
				if src_lang is None or tgt_lang is None:
						raise ValueError('''Translation requires a `src_lang` and a `tgt_lang` for this model'''   )
				lowerCamelCase   : List[Any]								=src_lang
				lowerCamelCase   : str								=self(__lowercase			,     add_special_tokens=__lowercase			,     **__lowercase   )
				lowerCamelCase   : Tuple								=self.get_lang_id(__lowercase   )
				lowerCamelCase   : Optional[int]								=tgt_lang_id
				return inputs







		def 			__lowercase   (		self   )				->   List[str]:
				self.set_src_lang_special_tokens(self.src_lang   )







		def 			__lowercase   (		self   )				->   List[str]:
				self.set_tgt_lang_special_tokens(self.tgt_lang   )







		def 			__lowercase   (		self			,     __lowercase   )				->   None:
				lowerCamelCase   : Union[str, Any]								=self.get_lang_token(__lowercase   )
				lowerCamelCase   : List[Any]								=self.lang_token_to_id[lang_token]
				lowerCamelCase   : Optional[Any]								=[self.cur_lang_id]
				lowerCamelCase   : Union[str, Any]								=[self.eos_token_id]







		def 			__lowercase   (		self			,     __lowercase   )				->   None:
				lowerCamelCase   : Tuple								=self.get_lang_token(__lowercase   )
				lowerCamelCase   : Tuple								=self.lang_token_to_id[lang_token]
				lowerCamelCase   : List[Any]								=[self.cur_lang_id]
				lowerCamelCase   : Tuple								=[self.eos_token_id]







		def 			__lowercase   (		self			,     __lowercase   )				->   str:
				return self.lang_code_to_token[lang]







		def 			__lowercase   (		self			,     __lowercase   )				->   int:
				lowerCamelCase   : List[str]								=self.get_lang_token(__lowercase   )
				return self.lang_token_to_id[lang_token]


def 					A__	(       SCREAMING_SNAKE_CASE_							,       SCREAMING_SNAKE_CASE_		)   ->     sentencepiece.SentencePieceProcessor:
		lowerCamelCase   : List[Any]								=sentencepiece.SentencePieceProcessor(**SCREAMING_SNAKE_CASE_		)
		spm.Load(str(SCREAMING_SNAKE_CASE_		)		)
		return spm


def 					A__	(       SCREAMING_SNAKE_CASE_		)   ->     Union[Dict, List]:
		with open(SCREAMING_SNAKE_CASE_							,       '''r'''		) as f:
				return json.load(SCREAMING_SNAKE_CASE_		)



def 					A__	(       SCREAMING_SNAKE_CASE_							,       SCREAMING_SNAKE_CASE_		)   ->     None:
		with open(SCREAMING_SNAKE_CASE_							,       '''w'''		) as f:
				json.dump(SCREAMING_SNAKE_CASE_							,       SCREAMING_SNAKE_CASE_							,       indent=2		)

