


import json
import os
import re
import shutil
import tempfile
import unittest
from typing import Tuple

from transformers import AddedToken, BatchEncoding, ByTaTokenizer
from transformers.utils import cached_property, is_tf_available, is_torch_available

from ...test_tokenization_common import TokenizerTesterMixin


if is_torch_available():
       __UpperCamelCase       :       int						       =				"pt"
elif is_tf_available():
       __UpperCamelCase       :       Any						       =				"tf"
else:
       __UpperCamelCase       :       List[Any]						       =				"jax"

class       __magic_name__	(     __lowerCAmelCase					,				unittest.TestCase):
     A:		List[str]			=      ByTaTokenizer
     A:		List[str]			=      False


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





      '''simple docstring'''






      super().setUp()
      UpperCamelCase__					:    str          =   ByTaTokenizer()
      tokenizer.save_pretrained(self.tmpdirname			)


     @cached_property
     def      UpperCAmelCase__	(      self							:     int			)  ->      Tuple:





      '''simple docstring'''






      return ByTaTokenizer.from_pretrained('''google/byt5-small'''			)


     def      UpperCAmelCase__	(      self							:     Optional[Any]							,	**lowerCamelCase__							:     Union[str, Any]			)  ->      ByTaTokenizer:





      '''simple docstring'''






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


     def      UpperCAmelCase__	(      self							:     Any							,	lowerCamelCase__							:     Any							,	lowerCamelCase__							:     int=False							,	lowerCamelCase__							:     Tuple=20							,	lowerCamelCase__							:     str=5			)  ->      Tuple[str, list]:





      '''simple docstring'''






      UpperCamelCase__					:    List[str]          =   []
      for i in range(len(lowerCamelCase__			)			):
       try:
        UpperCamelCase__					:    int          =   tokenizer.decode([i]							,	clean_up_tokenization_spaces=lowerCamelCase__			)
       except UnicodeDecodeError:
        pass
       toks.append((i, tok)			)

      UpperCamelCase__					:    str          =   list(filter(lambda lowerCamelCase__			: re.match(r'''^[ a-zA-Z]+$'''							,	t[1]			)							,	lowerCamelCase__			)			)
      UpperCamelCase__					:    Any          =   list(filter(lambda lowerCamelCase__			: [t[0]] == tokenizer.encode(t[1]							,	add_special_tokens=lowerCamelCase__			)							,	lowerCamelCase__			)			)
      if max_length is not None and len(lowerCamelCase__			) > max_length:
       UpperCamelCase__					:    str          =   toks[:max_length]
      if min_length is not None and len(lowerCamelCase__			) < min_length and len(lowerCamelCase__			) > 0:
       while len(lowerCamelCase__			) < min_length:
        UpperCamelCase__					:    str          =   toks + toks
        # toks_str = [t[1] for t in toks]
      UpperCamelCase__					:    Tuple          =   [t[0] for t in toks]

      # Ensure consistency
      UpperCamelCase__					:    str          =   tokenizer.decode(lowerCamelCase__							,	clean_up_tokenization_spaces=lowerCamelCase__			)
      if " " not in output_txt and len(lowerCamelCase__			) > 1:
       UpperCamelCase__					:    List[str]          =   (
           tokenizer.decode([toks_ids[0]]							,	clean_up_tokenization_spaces=lowerCamelCase__			)
           + ''' '''
           + tokenizer.decode(toks_ids[1:]							,	clean_up_tokenization_spaces=lowerCamelCase__			)
       )
      if with_prefix_space:
       UpperCamelCase__					:    str          =   ''' ''' + output_txt
      UpperCamelCase__					:    Optional[Any]          =   tokenizer.encode(lowerCamelCase__							,	add_special_tokens=lowerCamelCase__			)
      return output_txt, output_ids


     def      UpperCAmelCase__	(      self							:     Optional[Any]			)  ->      Optional[int]:





      '''simple docstring'''






      UpperCamelCase__					:    Union[str, Any]          =   self.ta_base_tokenizer
      UpperCamelCase__					:    str          =   tokenizer(['''hi</s>''', '''I went to the gym</s>''', '''</s>''']			)
      UpperCamelCase__					:    Optional[int]          =   tokenizer(['''hi''', '''I went to the gym''', '''''']			)
      self.assertListEqual(batch_with_eos_added['''input_ids''']							,	batch_without_eos_added['''input_ids''']			)


     def      UpperCAmelCase__	(      self							:     str			)  ->      Optional[Any]:





      '''simple docstring'''






      UpperCamelCase__					:    Tuple          =   self.ta_base_tokenizer
      UpperCamelCase__					:    Optional[int]          =   '''Unicode €.'''
      UpperCamelCase__					:    Tuple          =   tokenizer(lowerCamelCase__			)
      UpperCamelCase__					:    Dict          =   [88, 113, 108, 102, 114, 103, 104, 35, 229, 133, 175, 49, 1]
      self.assertEqual(encoded['''input_ids''']							,	lowerCamelCase__			)

      # decoding
      UpperCamelCase__					:    str          =   tokenizer.decode(lowerCamelCase__			)
      self.assertEqual(lowerCamelCase__							,	'''Unicode €.</s>'''			)

      UpperCamelCase__					:    Union[str, Any]          =   tokenizer('''e è é ê ë'''			)
      UpperCamelCase__					:    Any          =   [104, 35, 198, 171, 35, 198, 172, 35, 198, 173, 35, 198, 174, 1]
      self.assertEqual(encoded['''input_ids''']							,	lowerCamelCase__			)
      # decoding
      UpperCamelCase__					:    Union[str, Any]          =   tokenizer.decode(lowerCamelCase__			)
      self.assertEqual(lowerCamelCase__							,	'''e è é ê ë</s>'''			)

      # encode/decode, but with `encode` instead of `__call__`
      self.assertEqual(tokenizer.decode(tokenizer.encode('''e è é ê ë'''			)			)							,	'''e è é ê ë</s>'''			)


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





      '''simple docstring'''






      UpperCamelCase__					:    Tuple          =   self.ta_base_tokenizer
      UpperCamelCase__					:    Optional[int]          =   ['''A long paragraph for summarization.''', '''Another paragraph for summarization.''']
      # fmt: off
      UpperCamelCase__					:    List[str]          =   [68, 35, 111, 114, 113, 106, 35, 115, 100, 117, 100, 106, 117, 100, 115, 107, 35, 105, 114, 117, 35, 118, 120, 112, 112, 100, 117, 108, 125, 100, 119, 108, 114, 113, 49, 1, 0]
      # fmt: on
      UpperCamelCase__					:    List[Any]          =   tokenizer(lowerCamelCase__							,	padding=lowerCamelCase__							,	return_tensors=lowerCamelCase__			)
      self.assertIsInstance(lowerCamelCase__							,	lowerCamelCase__			)

      if FRAMEWORK != "jax":
       UpperCamelCase__					:    List[str]          =   list(batch.input_ids.numpy()[0]			)
      else:
       UpperCamelCase__					:    Tuple          =   list(batch.input_ids.tolist()[0]			)

      self.assertListEqual(lowerCamelCase__							,	lowerCamelCase__			)

      self.assertEqual((2, 37)							,	batch.input_ids.shape			)
      self.assertEqual((2, 37)							,	batch.attention_mask.shape			)


     def      UpperCAmelCase__	(      self							:     Tuple			)  ->      Tuple:





      '''simple docstring'''






      UpperCamelCase__					:    Optional[Any]          =   self.ta_base_tokenizer
      UpperCamelCase__					:    Union[str, Any]          =   ['''A long paragraph for summarization.''', '''Another paragraph for summarization.''']
      UpperCamelCase__					:    Any          =   tokenizer(lowerCamelCase__							,	padding=lowerCamelCase__							,	return_tensors=lowerCamelCase__			)
      # check if input_ids are returned and no decoder_input_ids
      self.assertIn('''input_ids'''							,	lowerCamelCase__			)
      self.assertIn('''attention_mask'''							,	lowerCamelCase__			)
      self.assertNotIn('''decoder_input_ids'''							,	lowerCamelCase__			)
      self.assertNotIn('''decoder_attention_mask'''							,	lowerCamelCase__			)


     def      UpperCAmelCase__	(      self							:     List[Any]			)  ->      Optional[Any]:





      '''simple docstring'''






      UpperCamelCase__					:    Optional[int]          =   self.ta_base_tokenizer
      UpperCamelCase__					:    Union[str, Any]          =   [
          '''Summary of the text.''',
          '''Another summary.''',
      ]
      UpperCamelCase__					:    int          =   tokenizer(
          text_target=lowerCamelCase__							,	max_length=32							,	padding='''max_length'''							,	truncation=lowerCamelCase__							,	return_tensors=lowerCamelCase__			)
      self.assertEqual(32							,	targets['''input_ids'''].shape[1]			)


     def      UpperCAmelCase__	(      self							:     Optional[int]			)  ->      Any:





      '''simple docstring'''






      UpperCamelCase__					:    Tuple          =   self.ta_base_tokenizer
      UpperCamelCase__					:    List[Any]          =   ['''A long paragraph for summarization. </s>''']
      UpperCamelCase__					:    Tuple          =   ['''Summary of the text. </s>''']
      # fmt: off
      UpperCamelCase__					:    Optional[int]          =   [68, 35, 111, 114, 113, 106, 35, 115, 100, 117, 100, 106, 117, 100, 115, 107, 35, 105, 114, 117, 35, 118, 120, 112, 112, 100, 117, 108, 125, 100, 119, 108, 114, 113, 49, 35, 1]
      UpperCamelCase__					:    Dict          =   [86, 120, 112, 112, 100, 117, 124, 35, 114, 105, 35, 119, 107, 104, 35, 119, 104, 123, 119, 49, 35, 1]
      # fmt: on

      UpperCamelCase__					:    str          =   tokenizer(lowerCamelCase__							,	text_target=lowerCamelCase__			)

      self.assertEqual(lowerCamelCase__							,	batch['''input_ids'''][0]			)
      self.assertEqual(lowerCamelCase__							,	batch['''labels'''][0]			)


     def      UpperCAmelCase__	(      self							:     str			)  ->      Optional[Any]:





      '''simple docstring'''






      UpperCamelCase__					:    List[Any]          =   self.get_tokenizers()
      for tokenizer in tokenizers:
       with self.subTest(F"{tokenizer.__class__.__name__}"			):
        self.assertNotEqual(tokenizer.model_max_length							,	42			)

        # Now let's start the test
      UpperCamelCase__					:    Optional[int]          =   self.get_tokenizers()
      for tokenizer in tokenizers:
       with self.subTest(F"{tokenizer.__class__.__name__}"			):
        # Isolate this from the other tests because we save additional tokens/etc
        UpperCamelCase__					:    Optional[Any]          =   tempfile.mkdtemp()

        UpperCamelCase__					:    Optional[Any]          =   ''' He is very happy, UNwant\u00E9d,running'''
        UpperCamelCase__					:    List[str]          =   tokenizer.encode(lowerCamelCase__							,	add_special_tokens=lowerCamelCase__			)
        tokenizer.save_pretrained(lowerCamelCase__			)

        UpperCamelCase__					:    str          =   tokenizer.__class__.from_pretrained(lowerCamelCase__			)
        UpperCamelCase__					:    Optional[int]          =   after_tokenizer.encode(lowerCamelCase__							,	add_special_tokens=lowerCamelCase__			)
        self.assertListEqual(lowerCamelCase__							,	lowerCamelCase__			)

        shutil.rmtree(lowerCamelCase__			)

      UpperCamelCase__					:    Union[str, Any]          =   self.get_tokenizers(model_max_length=42			)
      for tokenizer in tokenizers:
       with self.subTest(F"{tokenizer.__class__.__name__}"			):
        # Isolate this from the other tests because we save additional tokens/etc
        UpperCamelCase__					:    Optional[int]          =   tempfile.mkdtemp()

        UpperCamelCase__					:    Dict          =   ''' He is very happy, UNwant\u00E9d,running'''
        tokenizer.add_tokens(['''bim''', '''bambam''']			)
        UpperCamelCase__					:    Any          =   tokenizer.additional_special_tokens
        additional_special_tokens.append('''new_additional_special_token'''			)
        tokenizer.add_special_tokens({'''additional_special_tokens''': additional_special_tokens}			)
        UpperCamelCase__					:    Dict          =   tokenizer.encode(lowerCamelCase__							,	add_special_tokens=lowerCamelCase__			)
        tokenizer.save_pretrained(lowerCamelCase__			)

        UpperCamelCase__					:    List[str]          =   tokenizer.__class__.from_pretrained(lowerCamelCase__			)
        UpperCamelCase__					:    Union[str, Any]          =   after_tokenizer.encode(lowerCamelCase__							,	add_special_tokens=lowerCamelCase__			)
        self.assertListEqual(lowerCamelCase__							,	lowerCamelCase__			)
        self.assertIn('''new_additional_special_token'''							,	after_tokenizer.additional_special_tokens			)
        self.assertEqual(after_tokenizer.model_max_length							,	42			)

        UpperCamelCase__					:    Tuple          =   tokenizer.__class__.from_pretrained(lowerCamelCase__							,	model_max_length=43			)
        self.assertEqual(tokenizer.model_max_length							,	43			)

        shutil.rmtree(lowerCamelCase__			)


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





      '''simple docstring'''






      UpperCamelCase__					:    Optional[Any]          =   []
      if self.test_slow_tokenizer:
       tokenizer_list.append((self.tokenizer_class, self.get_tokenizer())			)

      if self.test_rust_tokenizer:
       tokenizer_list.append((self.rust_tokenizer_class, self.get_rust_tokenizer())			)

      for tokenizer_class, tokenizer_utils in tokenizer_list:
       with tempfile.TemporaryDirectory() as tmp_dir:
        tokenizer_utils.save_pretrained(lowerCamelCase__			)

        with open(os.path.join(lowerCamelCase__							,	'''special_tokens_map.json'''			)							,	encoding='''utf-8'''			) as json_file:
         UpperCamelCase__					:    Optional[int]          =   json.load(lowerCamelCase__			)

        with open(os.path.join(lowerCamelCase__							,	'''tokenizer_config.json'''			)							,	encoding='''utf-8'''			) as json_file:
         UpperCamelCase__					:    Optional[Any]          =   json.load(lowerCamelCase__			)

        UpperCamelCase__					:    Any          =   [F"<extra_id_{i}>" for i in range(125			)]

        UpperCamelCase__					:    List[Any]          =   added_tokens_extra_ids + [
            '''an_additional_special_token'''
        ]
        UpperCamelCase__					:    int          =   added_tokens_extra_ids + [
            '''an_additional_special_token'''
        ]

        with open(os.path.join(lowerCamelCase__							,	'''special_tokens_map.json'''			)							,	'''w'''							,	encoding='''utf-8'''			) as outfile:
         json.dump(lowerCamelCase__							,	lowerCamelCase__			)
        with open(os.path.join(lowerCamelCase__							,	'''tokenizer_config.json'''			)							,	'''w'''							,	encoding='''utf-8'''			) as outfile:
         json.dump(lowerCamelCase__							,	lowerCamelCase__			)

        # the following checks allow us to verify that our test works as expected, i.e. that the tokenizer takes
        # into account the new value of additional_special_tokens given in the "tokenizer_config.json" and
        # "special_tokens_map.json" files
        UpperCamelCase__					:    List[str]          =   tokenizer_class.from_pretrained(
            lowerCamelCase__							,	)
        self.assertIn(
            '''an_additional_special_token'''							,	tokenizer_without_change_in_init.additional_special_tokens			)
        # self.assertIn("an_additional_special_token",tokenizer_without_change_in_init.get_vocab()) # ByT5Tokenization no vocab
        self.assertEqual(
            ['''an_additional_special_token''']							,	tokenizer_without_change_in_init.convert_ids_to_tokens(
                tokenizer_without_change_in_init.convert_tokens_to_ids(['''an_additional_special_token''']			)			)							,	)

        # Now we test that we can change the value of additional_special_tokens in the from_pretrained
        UpperCamelCase__					:    List[Any]          =   added_tokens_extra_ids + [AddedToken('''a_new_additional_special_token'''							,	lstrip=lowerCamelCase__			)]
        UpperCamelCase__					:    Any          =   tokenizer_class.from_pretrained(
            lowerCamelCase__							,	additional_special_tokens=lowerCamelCase__							,	)

        self.assertIn('''a_new_additional_special_token'''							,	tokenizer.additional_special_tokens			)
        self.assertEqual(
            ['''a_new_additional_special_token''']							,	tokenizer.convert_ids_to_tokens(
                tokenizer.convert_tokens_to_ids(['''a_new_additional_special_token''']			)			)							,	)


     def      UpperCAmelCase__	(      self							:     Tuple			)  ->      Optional[Any]:





      '''simple docstring'''






      UpperCamelCase__					:    List[Any]          =   []
      if self.test_slow_tokenizer:
       tokenizer_list.append((self.tokenizer_class, self.get_tokenizer())			)

      if self.test_rust_tokenizer:
       tokenizer_list.append((self.rust_tokenizer_class, self.get_rust_tokenizer())			)

      for tokenizer_class, tokenizer_utils in tokenizer_list:
       with tempfile.TemporaryDirectory() as tmp_dir:
        tokenizer_utils.save_pretrained(lowerCamelCase__			)

        UpperCamelCase__					:    Optional[Any]          =   tokenizer_class.from_pretrained(lowerCamelCase__			)

        self.assertTrue(tokenizer.decode([255]			) == ''''''			)


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





      '''simple docstring'''






      pass


     def      UpperCAmelCase__	(      self							:     Any			)  ->      int:





      '''simple docstring'''






      pass


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





      '''simple docstring'''






      pass


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





      '''simple docstring'''






      pass


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





      '''simple docstring'''






      UpperCamelCase__					:    str          =   self.get_tokenizers(fast=lowerCamelCase__							,	do_lower_case=lowerCamelCase__			)
      for tokenizer in tokenizers:
       with self.subTest(F"{tokenizer.__class__.__name__}"			):
        UpperCamelCase__					:    Union[str, Any]          =   ['''t''', '''h''', '''i''', '''s''', ''' ''', '''i''', '''s''', ''' ''', '''a''', ''' ''', '''t''', '''e''', '''x''', '''t''', '''</s>''']
        UpperCamelCase__					:    Any          =   tokenizer.convert_tokens_to_string(lowerCamelCase__			)

        self.assertIsInstance(lowerCamelCase__							,	lowerCamelCase__			)


     def      UpperCAmelCase__	(      self							:     Tuple			)  ->      Any:





      '''simple docstring'''






      UpperCamelCase__					:    List[str]          =   self.get_tokenizers()
      for tokenizer in tokenizers:
       with self.subTest(F"{tokenizer.__class__.__name__}"			):
        UpperCamelCase__					:    List[str]          =   [
            '''bos_token''',
            '''eos_token''',
            '''unk_token''',
            '''sep_token''',
            '''pad_token''',
            '''cls_token''',
            '''mask_token''',
        ]

        UpperCamelCase__					:    int          =   0
        UpperCamelCase__					:    Dict          =   tokenizer.convert_ids_to_tokens(
            lowerCamelCase__							,	skip_special_tokens=lowerCamelCase__			)

        for attr in attributes_list:
         setattr(lowerCamelCase__							,	attr + '''_id'''							,	lowerCamelCase__			)
         self.assertEqual(getattr(lowerCamelCase__							,	lowerCamelCase__			)							,	lowerCamelCase__			)
         self.assertEqual(getattr(lowerCamelCase__							,	attr + '''_id'''			)							,	lowerCamelCase__			)

         setattr(lowerCamelCase__							,	attr + '''_id'''							,	lowerCamelCase__			)
         self.assertEqual(getattr(lowerCamelCase__							,	lowerCamelCase__			)							,	lowerCamelCase__			)
         self.assertEqual(getattr(lowerCamelCase__							,	attr + '''_id'''			)							,	lowerCamelCase__			)

        setattr(lowerCamelCase__							,	'''additional_special_tokens_ids'''							,	[]			)
        self.assertListEqual(getattr(lowerCamelCase__							,	'''additional_special_tokens'''			)							,	[]			)
        self.assertListEqual(getattr(lowerCamelCase__							,	'''additional_special_tokens_ids'''			)							,	[]			)

        setattr(lowerCamelCase__							,	'''additional_special_tokens_ids'''							,	[token_id_to_test_setters]			)
        self.assertListEqual(getattr(lowerCamelCase__							,	'''additional_special_tokens'''			)							,	[token_to_test_setters]			)
        self.assertListEqual(getattr(lowerCamelCase__							,	'''additional_special_tokens_ids'''			)							,	[token_id_to_test_setters]			)






from typing import TYPE_CHECKING

from ..utils import _LazyModule


__UpperCamelCase       :       int						       =				{
    "config": [
        "EXTERNAL_DATA_FORMAT_SIZE_LIMIT",
        "OnnxConfig",
        "OnnxConfigWithPast",
        "OnnxSeq2SeqConfigWithPast",
        "PatchingSpec",
    ],
    "convert": ["export", "validate_model_outputs"],
    "features": ["FeaturesManager"],
    "utils": ["ParameterFormat", "compute_serialized_parameters_size"],
}


if TYPE_CHECKING:
       from .config import (
           EXTERNAL_DATA_FORMAT_SIZE_LIMIT,
           OnnxConfig,
           OnnxConfigWithPast,
           OnnxSeqaSeqConfigWithPast,
           PatchingSpec,
       )
       from .convert import export, validate_model_outputs
       from .features import FeaturesManager
       from .utils import ParameterFormat, compute_serialized_parameters_size

else:
       import sys

       __UpperCamelCase       :       List[str]						       =				_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)


