





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 				__a (			unittest.TestCase					):


     """simple docstring"""


     _A    :   Optional[Any]     =  EsmTokenizer




     def   __A    (     self      :			Dict						)		->       Optional[int]:


         '''simple docstring'''





         super().setUp()
         SCREAMING_SNAKE_CASE__       =tempfile.mkdtemp()
         # fmt: off
         SCREAMING_SNAKE_CASE__       =["""<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
         SCREAMING_SNAKE_CASE__       =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      :			List[str]    ,**_UpperCamelCase      :			List[str]						)		->       List[PreTrainedTokenizerBase]:


         '''simple docstring'''





         return [self.get_tokenizer(**lowercase__						)]




     def   __A    (     self      :			Tuple    ,**_UpperCamelCase      :			Optional[int]						)		->       PreTrainedTokenizer:


         '''simple docstring'''





         return self.tokenizer_class.from_pretrained(self.tmpdirname    ,**lowercase__						)




     def   __A    (     self      :			Optional[int]						)		->       Tuple:


         '''simple docstring'''





         SCREAMING_SNAKE_CASE__       =self.tokenizer_class(self.vocab_file						)

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




     def   __A    (     self      :			str						)		->       Union[str, Any]:


         '''simple docstring'''





         SCREAMING_SNAKE_CASE__       =self.tokenizer_class(self.vocab_file						)

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




     def   __A    (     self      :			List[Any]						)		->       str:


         '''simple docstring'''





         SCREAMING_SNAKE_CASE__       =self.tokenizer_class(self.vocab_file						)

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

         self.assertListEqual(lowercase__    ,[[0, 4, 5, 6, 7, 8, 2], [0, 2_2, 2_3, 2_5, 2]]						)




     def   __A    (     self      :			Any						)		->       List[str]:


         '''simple docstring'''





         SCREAMING_SNAKE_CASE__       =self.tokenizer_class(self.vocab_file						)

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

         self.assertListEqual(lowercase__    ,[[0, 4, 5, 6, 7, 8, 2], [0, 2_2, 2_3, 2_5, 2, 1, 1]]						)




     def   __A    (     self      :			Union[str, Any]						)		->       Optional[Any]:


         '''simple docstring'''





         SCREAMING_SNAKE_CASE__       =self.get_tokenizers(fast=lowercase__						)
         for tokenizer in tokenizers:
             with self.subTest(f"""{tokenizer.__class__.__name__}"""						):
                 SCREAMING_SNAKE_CASE__       ="""<unk>"""
                 SCREAMING_SNAKE_CASE__       ="""<mask>"""

                 SCREAMING_SNAKE_CASE__       =tokenizer.tokenize(lowercase__						)
                 SCREAMING_SNAKE_CASE__       =tokenizer.tokenize(lowercase__						)

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












from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_sentencepiece_available,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
)


lowerCamelCase_  						=       {
    "configuration_marian": ["MARIAN_PRETRAINED_CONFIG_ARCHIVE_MAP", "MarianConfig", "MarianOnnxConfig"],
}

try:
    if not is_sentencepiece_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    lowerCamelCase_  						=       ["MarianTokenizer"]

try:
    if not is_torch_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    lowerCamelCase_  						=       [
        "MARIAN_PRETRAINED_MODEL_ARCHIVE_LIST",
        "MarianForCausalLM",
        "MarianModel",
        "MarianMTModel",
        "MarianPreTrainedModel",
    ]

try:
    if not is_tf_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    lowerCamelCase_  						=       ["TFMarianModel", "TFMarianMTModel", "TFMarianPreTrainedModel"]

try:
    if not is_flax_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    lowerCamelCase_  						=       ["FlaxMarianModel", "FlaxMarianMTModel", "FlaxMarianPreTrainedModel"]

if TYPE_CHECKING:
    from .configuration_marian import MARIAN_PRETRAINED_CONFIG_ARCHIVE_MAP, MarianConfig, MarianOnnxConfig

    try:
        if not is_sentencepiece_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .tokenization_marian import MarianTokenizer

    try:
        if not is_torch_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_marian import (
            MARIAN_PRETRAINED_MODEL_ARCHIVE_LIST,
            MarianForCausalLM,
            MarianModel,
            MarianMTModel,
            MarianPreTrainedModel,
        )

    try:
        if not is_tf_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_tf_marian import TFMarianModel, TFMarianMTModel, TFMarianPreTrainedModel

    try:
        if not is_flax_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_flax_marian import FlaxMarianModel, FlaxMarianMTModel, FlaxMarianPreTrainedModel

else:
    import sys

    lowerCamelCase_  						=       _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)






