




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

from tokenizers import processors

from ...tokenization_utils import AddedToken, BatchEncoding
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
     from .tokenization_mbartaa import MBartaaTokenizer
else:
     UpperCamelCase								=     None


UpperCamelCase								=     logging.get_logger(__name__)

UpperCamelCase								=     {'vocab_file': 'sentencepiece.bpe.model', 'tokenizer_file': 'tokenizer.json'}

UpperCamelCase								=     {
    'vocab_file': {
        'facebook/mbart-large-50-one-to-many-mmt': (
            'https://huggingface.co/facebook/mbart-large-50-one-to-many-mmt/resolve/main/sentencepiece.bpe.model'
        ),
    },
    'tokenizer_file': {
        'facebook/mbart-large-50-one-to-many-mmt': (
            'https://huggingface.co/facebook/mbart-large-50-one-to-many-mmt/resolve/main/tokenizer.json'
        ),
    },
}

UpperCamelCase								=     {
    'facebook/mbart-large-50-one-to-many-mmt': 1024,
}

# fmt: off
UpperCamelCase								=     ['ar_AR', 'cs_CZ', 'de_DE', 'en_XX', 'es_XX', 'et_EE', 'fi_FI', 'fr_XX', 'gu_IN', 'hi_IN', 'it_IT', 'ja_XX', 'kk_KZ', 'ko_KR', 'lt_LT', 'lv_LV', 'my_MM', 'ne_NP', 'nl_XX', 'ro_RO', 'ru_RU', 'si_LK', 'tr_TR', 'vi_VN', 'zh_CN', 'af_ZA', 'az_AZ', 'bn_IN', 'fa_IR', 'he_IL', 'hr_HR', 'id_ID', 'ka_GE', 'km_KH', 'mk_MK', 'ml_IN', 'mn_MN', 'mr_IN', 'pl_PL', 'ps_AF', 'pt_XX', 'sv_SE', 'sw_KE', 'ta_IN', 'te_IN', 'th_TH', 'tl_XX', 'uk_UA', 'ur_PK', 'xh_ZA', 'gl_ES', 'sl_SI']





class  __lowerCamelCase       (    UpperCamelCase__    ):




    """simple docstring"""

    snake_case__					=      VOCAB_FILES_NAMES
    snake_case__					=      PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
    snake_case__					=      PRETRAINED_VOCAB_FILES_MAP
    snake_case__					=      ["input_ids", "attention_mask"]
    snake_case__					=      MBartaaTokenizer

    snake_case__					=      []
    snake_case__					=      []


    def __init__(       self     :     Any   ,	SCREAMING_SNAKE_CASE__     :     List[str]=None   ,	SCREAMING_SNAKE_CASE__     :     int=None   ,	SCREAMING_SNAKE_CASE__     :     int=None   ,	SCREAMING_SNAKE_CASE__     :     Union[str, Any]=None   ,	SCREAMING_SNAKE_CASE__     :     List[str]="</s>"   ,	SCREAMING_SNAKE_CASE__     :     Tuple="</s>"   ,	SCREAMING_SNAKE_CASE__     :     Union[str, Any]="<s>"   ,	SCREAMING_SNAKE_CASE__     :     str="<unk>"   ,	SCREAMING_SNAKE_CASE__     :     str="<pad>"   ,	SCREAMING_SNAKE_CASE__     :     Any="<mask>"   ,	**SCREAMING_SNAKE_CASE__     :     List[Any]   ,	)      ->       List[str]:
         # Mask token behave like a normal word, i.e. include the space before it
         lowerCAmelCase__		= AddedToken(SCREAMING_SNAKE_CASE__   ,	lstrip=SCREAMING_SNAKE_CASE__   ,	rstrip=SCREAMING_SNAKE_CASE__   ) if isinstance(SCREAMING_SNAKE_CASE__   ,	SCREAMING_SNAKE_CASE__   ) else mask_token

         lowerCAmelCase__		= kwargs.get("additional_special_tokens"   ,	[]   )
         kwargs["additional_special_tokens"] += [
             code for code in FAIRSEQ_LANGUAGE_CODES if code not in kwargs["additional_special_tokens"]
         ]

         super().__init__(
             SCREAMING_SNAKE_CASE__   ,	src_lang=SCREAMING_SNAKE_CASE__   ,	tgt_lang=SCREAMING_SNAKE_CASE__   ,	tokenizer_file=SCREAMING_SNAKE_CASE__   ,	eos_token=SCREAMING_SNAKE_CASE__   ,	sep_token=SCREAMING_SNAKE_CASE__   ,	cls_token=SCREAMING_SNAKE_CASE__   ,	unk_token=SCREAMING_SNAKE_CASE__   ,	pad_token=SCREAMING_SNAKE_CASE__   ,	mask_token=SCREAMING_SNAKE_CASE__   ,	**SCREAMING_SNAKE_CASE__   ,	)

         lowerCAmelCase__		= vocab_file
         lowerCAmelCase__		= False if not self.vocab_file else True

         lowerCAmelCase__		= {
             lang_code: self.convert_tokens_to_ids(SCREAMING_SNAKE_CASE__   ) for lang_code in FAIRSEQ_LANGUAGE_CODES
         }

         lowerCAmelCase__		= src_lang if src_lang is not None else "en_XX"
         lowerCAmelCase__		= tgt_lang
         lowerCAmelCase__		= self.lang_code_to_id[self._src_lang]
         self.set_src_lang_special_tokens(self._src_lang   )


    @property
    def    a      (       self     :     Optional[Any]   )      ->       str:
         return self._src_lang


    @src_lang.setter
    def    a      (       self     :     int   ,	SCREAMING_SNAKE_CASE__     :     str   )      ->       None:
         lowerCAmelCase__		= new_src_lang
         self.set_src_lang_special_tokens(self._src_lang   )


    def    a      (       self     :     Dict   ,	SCREAMING_SNAKE_CASE__     :     List[int]   ,	SCREAMING_SNAKE_CASE__     :     Optional[List[int]] = 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    a      (       self     :     List[Any]   ,	SCREAMING_SNAKE_CASE__     :     List[str]   ,	SCREAMING_SNAKE_CASE__     :     str = "en_XX"   ,	SCREAMING_SNAKE_CASE__     :     Optional[List[str]] = None   ,	SCREAMING_SNAKE_CASE__     :     str = "ro_RO"   ,	**SCREAMING_SNAKE_CASE__     :     List[Any]   ,	)      ->       BatchEncoding:
         lowerCAmelCase__		= src_lang
         lowerCAmelCase__		= tgt_lang
         return super().prepare_seqaseq_batch(SCREAMING_SNAKE_CASE__   ,	SCREAMING_SNAKE_CASE__   ,	**SCREAMING_SNAKE_CASE__   )


    def    a      (       self     :     Any   )      ->       Dict:
         return self.set_src_lang_special_tokens(self.src_lang   )


    def    a      (       self     :     str   )      ->       int:
         return self.set_tgt_lang_special_tokens(self.tgt_lang   )


    def    a      (       self     :     Tuple   ,	SCREAMING_SNAKE_CASE__     :     str   )      ->       None:
         lowerCAmelCase__		= self.convert_tokens_to_ids(SCREAMING_SNAKE_CASE__   )
         lowerCAmelCase__		= [self.cur_lang_code_id]
         lowerCAmelCase__		= [self.eos_token_id]

         lowerCAmelCase__		= self.convert_ids_to_tokens(self.prefix_tokens   )
         lowerCAmelCase__		= self.convert_ids_to_tokens(self.suffix_tokens   )

         lowerCAmelCase__		= processors.TemplateProcessing(
             single=prefix_tokens_str + ["$A"] + suffix_tokens_str   ,	pair=prefix_tokens_str + ["$A", "$B"] + suffix_tokens_str   ,	special_tokens=list(zip(prefix_tokens_str + suffix_tokens_str   ,	self.prefix_tokens + self.suffix_tokens   )   )   ,	)


    def    a      (       self     :     Tuple   ,	SCREAMING_SNAKE_CASE__     :     str   )      ->       None:
         lowerCAmelCase__		= self.convert_tokens_to_ids(SCREAMING_SNAKE_CASE__   )
         lowerCAmelCase__		= [self.cur_lang_code_id]
         lowerCAmelCase__		= [self.eos_token_id]

         lowerCAmelCase__		= self.convert_ids_to_tokens(self.prefix_tokens   )
         lowerCAmelCase__		= self.convert_ids_to_tokens(self.suffix_tokens   )

         lowerCAmelCase__		= processors.TemplateProcessing(
             single=prefix_tokens_str + ["$A"] + suffix_tokens_str   ,	pair=prefix_tokens_str + ["$A", "$B"] + suffix_tokens_str   ,	special_tokens=list(zip(prefix_tokens_str + suffix_tokens_str   ,	self.prefix_tokens + self.suffix_tokens   )   )   ,	)


    def    a      (       self     :     Union[str, Any]   ,	SCREAMING_SNAKE_CASE__     :     Optional[Any]   ,	SCREAMING_SNAKE_CASE__     :     str   ,	SCREAMING_SNAKE_CASE__     :     Optional[str]   ,	SCREAMING_SNAKE_CASE__     :     Optional[str]   ,	**SCREAMING_SNAKE_CASE__     :     List[Any]   )      ->       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__		= src_lang
         lowerCAmelCase__		= self(SCREAMING_SNAKE_CASE__   ,	add_special_tokens=SCREAMING_SNAKE_CASE__   ,	return_tensors=SCREAMING_SNAKE_CASE__   ,	**SCREAMING_SNAKE_CASE__   )
         lowerCAmelCase__		= self.convert_tokens_to_ids(SCREAMING_SNAKE_CASE__   )
         lowerCAmelCase__		= tgt_lang_id
         return inputs


    def    a      (       self     :     List[Any]   ,	SCREAMING_SNAKE_CASE__     :     str   ,	SCREAMING_SNAKE_CASE__     :     Optional[str] = None   )      ->       Tuple[str]:
         if not self.can_save_slow_tokenizer:
              raise ValueError(
                  "Your fast tokenizer does not have the necessary information to save the vocabulary for a slow "
                  "tokenizer."   )

         if not os.path.isdir(SCREAMING_SNAKE_CASE__   ):
              logger.error(f'Vocabulary path ({save_directory}) should be a directory'   )
              return
         lowerCAmelCase__		= os.path.join(
             SCREAMING_SNAKE_CASE__   ,	(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]   )

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

         return (out_vocab_file,)






import os
import tempfile
import unittest
from typing import List

from transformers.models.esm.tokenization_esm import VOCAB_FILES_NAMES, EsmTokenizer
from transformers.testing_utils import require_tokenizers
from transformers.tokenization_utils import PreTrainedTokenizer
from transformers.tokenization_utils_base import PreTrainedTokenizerBase





@require_tokenizers
class  __lowerCamelCase       (    unittest.TestCase    ):




    """simple docstring"""

    snake_case__					=      EsmTokenizer


    def    a      (       self     :     str   )      ->       Tuple:
         super().setUp()
         lowerCAmelCase__		= tempfile.mkdtemp()
         # fmt: off
         lowerCAmelCase__		= ["<cls>", "<pad>", "<eos>", "<unk>", "L", "A", "G", "V", "S", "E", "R", "T", "I", "D", "P", "K", "Q", "N", "F", "Y", "M", "H", "W", "C", "X", "B", "U", "Z", "O", ".", "-", "<null_1>", "<mask>"]  # noqa: E501
         # fmt: on
         lowerCAmelCase__		= os.path.join(self.tmpdirname   ,	VOCAB_FILES_NAMES["vocab_file"]   )
         with open(self.vocab_file   ,	"w"   ,	encoding="utf-8"   ) as vocab_writer:
              vocab_writer.write("".join([x + "\n" for x in vocab_tokens]   )   )


    def    a      (       self     :     Dict   ,	**SCREAMING_SNAKE_CASE__     :     Optional[Any]   )      ->       List[PreTrainedTokenizerBase]:
         return [self.get_tokenizer(**SCREAMING_SNAKE_CASE__   )]


    def    a      (       self     :     List[str]   ,	**SCREAMING_SNAKE_CASE__     :     str   )      ->       PreTrainedTokenizer:
         return self.tokenizer_class.from_pretrained(self.tmpdirname   ,	**SCREAMING_SNAKE_CASE__   )


    def    a      (       self     :     str   )      ->       Tuple:
         lowerCAmelCase__		= self.tokenizer_class(self.vocab_file   )

         lowerCAmelCase__		= tokenizer.tokenize("LAGVS"   )
         self.assertListEqual(SCREAMING_SNAKE_CASE__   ,	["L", "A", "G", "V", "S"]   )
         self.assertListEqual(tokenizer.convert_tokens_to_ids(SCREAMING_SNAKE_CASE__   )   ,	[4, 5, 6, 7, 8]   )


    def    a      (       self     :     int   )      ->       Union[str, Any]:
         lowerCAmelCase__		= self.tokenizer_class(self.vocab_file   )

         lowerCAmelCase__		= "LAGVS"
         self.assertListEqual(tokenizer.encode(SCREAMING_SNAKE_CASE__   )   ,	[0, 4, 5, 6, 7, 8, 2]   )


    def    a      (       self     :     Union[str, Any]   )      ->       str:
         lowerCAmelCase__		= self.tokenizer_class(self.vocab_file   )

         lowerCAmelCase__		= ["LAGVS", "WCB"]
         lowerCAmelCase__		= tokenizer(SCREAMING_SNAKE_CASE__   ,	padding=SCREAMING_SNAKE_CASE__   )["input_ids"]

         self.assertListEqual(SCREAMING_SNAKE_CASE__   ,	[[0, 4, 5, 6, 7, 8, 2], [0, 22, 23, 25, 2]]   )


    def    a      (       self     :     Any   )      ->       Union[str, Any]:
         lowerCAmelCase__		= self.tokenizer_class(self.vocab_file   )

         lowerCAmelCase__		= ["LAGVS", "WCB"]
         lowerCAmelCase__		= tokenizer(SCREAMING_SNAKE_CASE__   ,	padding=SCREAMING_SNAKE_CASE__   )["input_ids"]

         self.assertListEqual(SCREAMING_SNAKE_CASE__   ,	[[0, 4, 5, 6, 7, 8, 2], [0, 22, 23, 25, 2, 1, 1]]   )


    def    a      (       self     :     str   )      ->       Optional[Any]:
         lowerCAmelCase__		= self.get_tokenizers(fast=SCREAMING_SNAKE_CASE__   )
         for tokenizer in tokenizers:
              with self.subTest(f'{tokenizer.__class__.__name__}'   ):
                   lowerCAmelCase__		= "<unk>"
                   lowerCAmelCase__		= "<mask>"

                   lowerCAmelCase__		= tokenizer.tokenize(SCREAMING_SNAKE_CASE__   )
                   lowerCAmelCase__		= tokenizer.tokenize(SCREAMING_SNAKE_CASE__   )

                   self.assertEqual(len(SCREAMING_SNAKE_CASE__   )   ,	1   )
                   self.assertEqual(len(SCREAMING_SNAKE_CASE__   )   ,	1   )
                   self.assertEqual(token_a[0]   ,	SCREAMING_SNAKE_CASE__   )
                   self.assertEqual(token_a[0]   ,	SCREAMING_SNAKE_CASE__   )
