





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():
     _snake_case  :    Optional[Any]						    =  'pt'
elif is_tf_available():
     _snake_case  :    List[str]						    =  'tf'
else:
     _snake_case  :    List[str]						    =  'jax'



class 				_UpperCAmelCase    (    _UpperCamelCase		,    unittest.TestCase    ):

  """simple docstring"""


  a_        = ByTaTokenizer
  a_        = False






  def 				lowercase		(				self :		Any     )							->						Dict:
     super().setUp()
     __lowerCAmelCase								=	ByTaTokenizer()
     tokenizer.save_pretrained(self.tmpdirname     )






  @cached_property
  def 				lowercase		(				self :		str     )							->						List[Any]:
     return ByTaTokenizer.from_pretrained('google/byt5-small'     )






  def 				lowercase		(				self :		Any					,  **lowerCAmelCase_ :		List[Any]     )							->						ByTaTokenizer:
     return self.tokenizer_class.from_pretrained(self.tmpdirname					,  **lowerCAmelCase_     )






  def 				lowercase		(				self :		Optional[int]					,  lowerCAmelCase_ :		int					,  lowerCAmelCase_ :		Optional[Any]=False					,  lowerCAmelCase_ :		Dict=2_0					,  lowerCAmelCase_ :		List[str]=5     )							->						Tuple[str, list]:
     # XXX The default common tokenizer tests assume that every ID is decodable on its own.
     # This assumption is invalid for ByT5 because single bytes might not be
     # valid utf-8 (byte 128 for instance).
     # Here we're overriding the smallest possible method to provide
     # a clean sequence without making the same assumption.

     __lowerCAmelCase								=	[]
     for i in range(len(lowerCAmelCase_     )     ):
        try:
           __lowerCAmelCase								=	tokenizer.decode([i]					,  clean_up_tokenization_spaces=lowerCAmelCase_     )
        except UnicodeDecodeError:
           pass
        toks.append((i, tok)     )

     __lowerCAmelCase								=	list(filter(lambda lowerCAmelCase_     : re.match(R'^[ a-zA-Z]+$'					,  t[1]     )					,  lowerCAmelCase_     )     )
     __lowerCAmelCase								=	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:
        __lowerCAmelCase								=	toks[:max_length]
     if min_length is not None and len(lowerCAmelCase_     ) < min_length and len(lowerCAmelCase_     ) > 0:
        while len(lowerCAmelCase_     ) < min_length:
           __lowerCAmelCase								=	toks + toks
        # toks_str = [t[1] for t in toks]
     __lowerCAmelCase								=	[t[0] for t in toks]

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






  def 				lowercase		(				self :		Optional[int]     )							->						int:
     __lowerCAmelCase								=	self.ta_base_tokenizer
     __lowerCAmelCase								=	tokenizer(['hi</s>', 'I went to the gym</s>', '</s>']     )
     __lowerCAmelCase								=	tokenizer(['hi', 'I went to the gym', '']     )
     self.assertListEqual(batch_with_eos_added['input_ids']					,  batch_without_eos_added['input_ids']     )






  def 				lowercase		(				self :		Tuple     )							->						Any:
     __lowerCAmelCase								=	self.ta_base_tokenizer
     __lowerCAmelCase								=	'Unicode €.'
     __lowerCAmelCase								=	tokenizer(lowerCAmelCase_     )
     __lowerCAmelCase								=	[8_8, 1_1_3, 1_0_8, 1_0_2, 1_1_4, 1_0_3, 1_0_4, 3_5, 2_2_9, 1_3_3, 1_7_5, 4_9, 1]
     self.assertEqual(encoded['input_ids']					,  lowerCAmelCase_     )

     # decoding
     __lowerCAmelCase								=	tokenizer.decode(lowerCAmelCase_     )
     self.assertEqual(lowerCAmelCase_					,  'Unicode €.</s>'     )

     __lowerCAmelCase								=	tokenizer('e è é ê ë'     )
     __lowerCAmelCase								=	[1_0_4, 3_5, 1_9_8, 1_7_1, 3_5, 1_9_8, 1_7_2, 3_5, 1_9_8, 1_7_3, 3_5, 1_9_8, 1_7_4, 1]
     self.assertEqual(encoded['input_ids']					,  lowerCAmelCase_     )
     # decoding
     __lowerCAmelCase								=	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 				lowercase		(				self :		int     )							->						Tuple:
     __lowerCAmelCase								=	self.ta_base_tokenizer
     __lowerCAmelCase								=	['A long paragraph for summarization.', 'Another paragraph for summarization.']
     # fmt: off
     __lowerCAmelCase								=	[6_8, 3_5, 1_1_1, 1_1_4, 1_1_3, 1_0_6, 3_5, 1_1_5, 1_0_0, 1_1_7, 1_0_0, 1_0_6, 1_1_7, 1_0_0, 1_1_5, 1_0_7, 3_5, 1_0_5, 1_1_4, 1_1_7, 3_5, 1_1_8, 1_2_0, 1_1_2, 1_1_2, 1_0_0, 1_1_7, 1_0_8, 1_2_5, 1_0_0, 1_1_9, 1_0_8, 1_1_4, 1_1_3, 4_9, 1, 0]
     # fmt: on
     __lowerCAmelCase								=	tokenizer(lowerCAmelCase_					,  padding=lowerCAmelCase_					,  return_tensors=lowerCAmelCase_     )
     self.assertIsInstance(lowerCAmelCase_					,  lowerCAmelCase_     )

     if FRAMEWORK != "jax":
        __lowerCAmelCase								=	list(batch.input_ids.numpy()[0]     )
     else:
        __lowerCAmelCase								=	list(batch.input_ids.tolist()[0]     )

     self.assertListEqual(lowerCAmelCase_					,  lowerCAmelCase_     )

     self.assertEqual((2, 3_7)					,  batch.input_ids.shape     )
     self.assertEqual((2, 3_7)					,  batch.attention_mask.shape     )






  def 				lowercase		(				self :		Tuple     )							->						Optional[Any]:
     __lowerCAmelCase								=	self.ta_base_tokenizer
     __lowerCAmelCase								=	['A long paragraph for summarization.', 'Another paragraph for summarization.']
     __lowerCAmelCase								=	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 				lowercase		(				self :		Optional[Any]     )							->						Optional[int]:
     __lowerCAmelCase								=	self.ta_base_tokenizer
     __lowerCAmelCase								=	[
         'Summary of the text.',
         'Another summary.',
     ]
     __lowerCAmelCase								=	tokenizer(
         text_target=lowerCAmelCase_					,  max_length=3_2					,  padding='max_length'					,  truncation=lowerCAmelCase_					,  return_tensors=lowerCAmelCase_     )
     self.assertEqual(3_2					,  targets['input_ids'].shape[1]     )






  def 				lowercase		(				self :		Dict     )							->						Union[str, Any]:
     __lowerCAmelCase								=	self.ta_base_tokenizer
     __lowerCAmelCase								=	['A long paragraph for summarization. </s>']
     __lowerCAmelCase								=	['Summary of the text. </s>']
     # fmt: off
     __lowerCAmelCase								=	[6_8, 3_5, 1_1_1, 1_1_4, 1_1_3, 1_0_6, 3_5, 1_1_5, 1_0_0, 1_1_7, 1_0_0, 1_0_6, 1_1_7, 1_0_0, 1_1_5, 1_0_7, 3_5, 1_0_5, 1_1_4, 1_1_7, 3_5, 1_1_8, 1_2_0, 1_1_2, 1_1_2, 1_0_0, 1_1_7, 1_0_8, 1_2_5, 1_0_0, 1_1_9, 1_0_8, 1_1_4, 1_1_3, 4_9, 3_5, 1]
     __lowerCAmelCase								=	[8_6, 1_2_0, 1_1_2, 1_1_2, 1_0_0, 1_1_7, 1_2_4, 3_5, 1_1_4, 1_0_5, 3_5, 1_1_9, 1_0_7, 1_0_4, 3_5, 1_1_9, 1_0_4, 1_2_3, 1_1_9, 4_9, 3_5, 1]
     # fmt: on

     __lowerCAmelCase								=	tokenizer(lowerCAmelCase_					,  text_target=lowerCAmelCase_     )

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






  def 				lowercase		(				self :		Any     )							->						Union[str, Any]:
     # safety check on max_len default value so we are sure the test works
     __lowerCAmelCase								=	self.get_tokenizers()
     for tokenizer in tokenizers:
        with self.subTest(f"""{tokenizer.__class__.__name__}"""     ):
           self.assertNotEqual(tokenizer.model_max_length					,  4_2     )

        # Now let's start the test
     __lowerCAmelCase								=	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
           __lowerCAmelCase								=	tempfile.mkdtemp()

           __lowerCAmelCase								=	' He is very happy, UNwant\u00E9d,running'
           __lowerCAmelCase								=	tokenizer.encode(lowerCAmelCase_					,  add_special_tokens=lowerCAmelCase_     )
           tokenizer.save_pretrained(lowerCAmelCase_     )

           __lowerCAmelCase								=	tokenizer.__class__.from_pretrained(lowerCAmelCase_     )
           __lowerCAmelCase								=	after_tokenizer.encode(lowerCAmelCase_					,  add_special_tokens=lowerCAmelCase_     )
           self.assertListEqual(lowerCAmelCase_					,  lowerCAmelCase_     )

           shutil.rmtree(lowerCAmelCase_     )

     __lowerCAmelCase								=	self.get_tokenizers(model_max_length=4_2     )
     for tokenizer in tokenizers:
        with self.subTest(f"""{tokenizer.__class__.__name__}"""     ):
           # Isolate this from the other tests because we save additional tokens/etc
           __lowerCAmelCase								=	tempfile.mkdtemp()

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

           __lowerCAmelCase								=	tokenizer.__class__.from_pretrained(lowerCAmelCase_     )
           __lowerCAmelCase								=	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					,  4_2     )

           __lowerCAmelCase								=	tokenizer.__class__.from_pretrained(lowerCAmelCase_					,  model_max_length=4_3     )
           self.assertEqual(tokenizer.model_max_length					,  4_3     )

           shutil.rmtree(lowerCAmelCase_     )






  def 				lowercase		(				self :		Optional[int]     )							->						Union[str, Any]:
     __lowerCAmelCase								=	[]
     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:
              __lowerCAmelCase								=	json.load(lowerCAmelCase_     )

           with open(os.path.join(lowerCAmelCase_					,  'tokenizer_config.json'     )					,  encoding='utf-8'     ) as json_file:
              __lowerCAmelCase								=	json.load(lowerCAmelCase_     )

           __lowerCAmelCase								=	[f"""<extra_id_{i}>""" for i in range(1_2_5     )]

           __lowerCAmelCase								=	added_tokens_extra_ids + [
               'an_additional_special_token'
           ]
           __lowerCAmelCase								=	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
           __lowerCAmelCase								=	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
           __lowerCAmelCase								=	added_tokens_extra_ids + [AddedToken('a_new_additional_special_token'					,  lstrip=lowerCAmelCase_     )]
           __lowerCAmelCase								=	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 				lowercase		(				self :		List[str]     )							->						Optional[int]:
     __lowerCAmelCase								=	[]
     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_     )

           __lowerCAmelCase								=	tokenizer_class.from_pretrained(lowerCAmelCase_     )

           self.assertTrue(tokenizer.decode([2_5_5]     ) == ''     )






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






  def 				lowercase		(				self :		Tuple     )							->						Dict:
     pass






  def 				lowercase		(				self :		int     )							->						Any:
     pass






  def 				lowercase		(				self :		Any     )							->						Tuple:
     pass






  def 				lowercase		(				self :		List[str]     )							->						int:
     # The default common tokenizer tests uses invalid tokens for ByT5 that can only accept one-character strings
     # and special added tokens as tokens
     __lowerCAmelCase								=	self.get_tokenizers(fast=lowerCAmelCase_					,  do_lower_case=lowerCAmelCase_     )
     for tokenizer in tokenizers:
        with self.subTest(f"""{tokenizer.__class__.__name__}"""     ):
           __lowerCAmelCase								=	['t', 'h', 'i', 's', ' ', 'i', 's', ' ', 'a', ' ', 't', 'e', 'x', 't', '</s>']
           __lowerCAmelCase								=	tokenizer.convert_tokens_to_string(lowerCAmelCase_     )

           self.assertIsInstance(lowerCAmelCase_					,  lowerCAmelCase_     )






  def 				lowercase		(				self :		str     )							->						List[str]:
     __lowerCAmelCase								=	self.get_tokenizers()
     for tokenizer in tokenizers:
        with self.subTest(f"""{tokenizer.__class__.__name__}"""     ):
           __lowerCAmelCase								=	[
               'bos_token',
               'eos_token',
               'unk_token',
               'sep_token',
               'pad_token',
               'cls_token',
               'mask_token',
           ]

           __lowerCAmelCase								=	0
           __lowerCAmelCase								=	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 OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available


_snake_case  :    List[Any]						    =  {
    'configuration_biogpt': ['BIOGPT_PRETRAINED_CONFIG_ARCHIVE_MAP', 'BioGptConfig'],
    'tokenization_biogpt': ['BioGptTokenizer'],
}

try:
     if not is_torch_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     _snake_case  :    Optional[int]						    =  [
         'BIOGPT_PRETRAINED_MODEL_ARCHIVE_LIST',
         'BioGptForCausalLM',
         'BioGptForTokenClassification',
         'BioGptForSequenceClassification',
         'BioGptModel',
         'BioGptPreTrainedModel',
     ]


if TYPE_CHECKING:
     from .configuration_biogpt import BIOGPT_PRETRAINED_CONFIG_ARCHIVE_MAP, BioGptConfig
     from .tokenization_biogpt import BioGptTokenizer

     try:
          if not is_torch_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_biogpt import (
              BIOGPT_PRETRAINED_MODEL_ARCHIVE_LIST,
              BioGptForCausalLM,
              BioGptForSequenceClassification,
              BioGptForTokenClassification,
              BioGptModel,
              BioGptPreTrainedModel,
          )


else:
     import sys

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

