






import argparse
from collections import defaultdict

import yaml


__A					=	"docs/source/en/_toctree.yml"







def       lowercase__	(					A_:						Tuple		)	->				List[Any]:







       """simple docstring"""






       __UpperCAmelCase     				=defaultdict(A_		)
       for doc in model_doc:
              counts[doc["local"]] += 1
       __UpperCAmelCase     				=[key for key, value in counts.items() if value > 1]

       __UpperCAmelCase     				=[]
       for duplicate_key in duplicates:
              __UpperCAmelCase     				=list({doc["""title"""] for doc in model_doc if doc["""local"""] == duplicate_key}		)
              if len(A_		) > 1:
                     raise ValueError(
                         F'''{duplicate_key} is present several times in the documentation table of content at '''
                         """`docs/source/en/_toctree.yml` with different *Title* values. Choose one of those and remove the """
                         """others."""		)
              # Only add this once
              new_doc.append({"""local""": duplicate_key, """title""": titles[0]}		)

       # Add none duplicate-keys
       new_doc.extend([doc for doc in model_doc if counts[doc["""local"""]] == 1]		)

       # Sort
       return sorted(A_  ,      key=lambda A_		: s["title"].lower()		)







def       lowercase__	(					A_:						Optional[int]=False		)	->				Tuple:







       """simple docstring"""






       with open(A_  ,      encoding="""utf-8"""		) as f:
              __UpperCAmelCase     				=yaml.safe_load(f.read()		)

       # Get to the API doc
       __UpperCAmelCase     				=0
       while content[api_idx]["title"] != "API":
              api_idx += 1
       __UpperCAmelCase     				=content[api_idx]["""sections"""]

       # Then to the model doc
       __UpperCAmelCase     				=0
       while api_doc[model_idx]["title"] != "Models":
              model_idx += 1

       __UpperCAmelCase     				=api_doc[model_idx]["""sections"""]

       __UpperCAmelCase     				=[(idx, section) for idx, section in enumerate(A_		) if """sections""" in section]
       __UpperCAmelCase     				=False
       for idx, modality_doc in modalities_docs:
              __UpperCAmelCase     				=modality_doc["""sections"""]
              __UpperCAmelCase     				=clean_model_doc_toc(A_		)

              if old_modality_doc != new_modality_doc:
                     __UpperCAmelCase     				=True
                     if overwrite:
                            __UpperCAmelCase     				=new_modality_doc

       if diff:
              if overwrite:
                     __UpperCAmelCase     				=model_doc
                     __UpperCAmelCase     				=api_doc
                     with open(A_  ,      """w"""  ,      encoding="""utf-8"""		) as f:
                            f.write(yaml.dump(A_  ,      allow_unicode=A_		)		)
              else:
                     raise ValueError(
                         """The model doc part of the table of content is not properly sorted, run `make style` to fix this."""		)


if __name__ == "__main__":
   __A					=	argparse.ArgumentParser()
   parser.add_argument("--fix_and_overwrite", action="store_true", help="Whether to fix inconsistencies.")
   __A					=	parser.parse_args()

   check_model_doc(args.fix_and_overwrite)











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


class     A     (SCREAMING_SNAKE_CASE  ,	unittest.TestCase       ):
			'''simple docstring'''




			__lowerCamelCase      :			str							     =       ByTaTokenizer
			__lowerCamelCase      :			Tuple							     =       False






			def   a_			(     self  :       Dict  )      ->      Dict:







					"""simple docstring"""






					super().setUp()
					A__     =  ByTaTokenizer()
					tokenizer.save_pretrained(self.tmpdirname  )






			@cached_property
			def   a_			(     self  :       Dict  )      ->      List[Any]:







					"""simple docstring"""






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






			def   a_			(     self  :       Union[str, Any]				,      **__lowerCAmelCase  :       int  )      ->      ByTaTokenizer:







					"""simple docstring"""






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






			def   a_			(     self  :       Optional[Any]				,      __lowerCAmelCase  :       Dict				,      __lowerCAmelCase  :       Union[str, Any]=False				,      __lowerCAmelCase  :       Dict=20				,      __lowerCAmelCase  :       List[str]=5  )      ->      Tuple[str, list]:







					"""simple docstring"""






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

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

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






			def   a_			(     self  :       List[str]  )      ->      int:







					"""simple docstring"""






					A__     =  self.ta_base_tokenizer
					A__     =  tokenizer(["""hi</s>""", """I went to the gym</s>""", """</s>"""]  )
					A__     =  tokenizer(["""hi""", """I went to the gym""", """"""]  )
					self.assertListEqual(batch_with_eos_added["""input_ids"""]				,      batch_without_eos_added["""input_ids"""]  )






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







					"""simple docstring"""






					A__     =  self.ta_base_tokenizer
					A__     =  """Unicode €."""
					A__     =  tokenizer(__lowerCAmelCase  )
					A__     =  [88, 1_13, 1_08, 1_02, 1_14, 1_03, 1_04, 35, 2_29, 1_33, 1_75, 49, 1]
					self.assertEqual(encoded["""input_ids"""]				,      __lowerCAmelCase  )

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

					A__     =  tokenizer("""e è é ê ë"""  )
					A__     =  [1_04, 35, 1_98, 1_71, 35, 1_98, 1_72, 35, 1_98, 1_73, 35, 1_98, 1_74, 1]
					self.assertEqual(encoded["""input_ids"""]				,      __lowerCAmelCase  )
					# decoding
					A__     =  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   a_			(     self  :       Dict  )      ->      Optional[int]:







					"""simple docstring"""






					A__     =  self.ta_base_tokenizer
					A__     =  ["""A long paragraph for summarization.""", """Another paragraph for summarization."""]
					# fmt: off
					A__     =  [68, 35, 1_11, 1_14, 1_13, 1_06, 35, 1_15, 1_00, 1_17, 1_00, 1_06, 1_17, 1_00, 1_15, 1_07, 35, 1_05, 1_14, 1_17, 35, 1_18, 1_20, 1_12, 1_12, 1_00, 1_17, 1_08, 1_25, 1_00, 1_19, 1_08, 1_14, 1_13, 49, 1, 0]
					# fmt: on
					A__     =  tokenizer(__lowerCAmelCase				,      padding=__lowerCAmelCase				,      return_tensors=__lowerCAmelCase  )
					self.assertIsInstance(__lowerCAmelCase				,      __lowerCAmelCase  )

					if FRAMEWORK != "jax":
							A__     =  list(batch.input_ids.numpy()[0]  )
					else:
							A__     =  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   a_			(     self  :       Optional[Any]  )      ->      List[str]:







					"""simple docstring"""






					A__     =  self.ta_base_tokenizer
					A__     =  ["""A long paragraph for summarization.""", """Another paragraph for summarization."""]
					A__     =  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   a_			(     self  :       int  )      ->      Any:







					"""simple docstring"""






					A__     =  self.ta_base_tokenizer
					A__     =  [
					    """Summary of the text.""",
					    """Another summary.""",
					]
					A__     =  tokenizer(
					    text_target=__lowerCAmelCase				,      max_length=32				,      padding="""max_length"""				,      truncation=__lowerCAmelCase				,      return_tensors=__lowerCAmelCase  )
					self.assertEqual(32				,      targets["""input_ids"""].shape[1]  )






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







					"""simple docstring"""






					A__     =  self.ta_base_tokenizer
					A__     =  ["""A long paragraph for summarization. </s>"""]
					A__     =  ["""Summary of the text. </s>"""]
					# fmt: off
					A__     =  [68, 35, 1_11, 1_14, 1_13, 1_06, 35, 1_15, 1_00, 1_17, 1_00, 1_06, 1_17, 1_00, 1_15, 1_07, 35, 1_05, 1_14, 1_17, 35, 1_18, 1_20, 1_12, 1_12, 1_00, 1_17, 1_08, 1_25, 1_00, 1_19, 1_08, 1_14, 1_13, 49, 35, 1]
					A__     =  [86, 1_20, 1_12, 1_12, 1_00, 1_17, 1_24, 35, 1_14, 1_05, 35, 1_19, 1_07, 1_04, 35, 1_19, 1_04, 1_23, 1_19, 49, 35, 1]
					# fmt: on

					A__     =  tokenizer(__lowerCAmelCase				,      text_target=__lowerCAmelCase  )

					self.assertEqual(__lowerCAmelCase				,      batch["""input_ids"""][0]  )
					self.assertEqual(__lowerCAmelCase				,      batch["""labels"""][0]  )






			def   a_			(     self  :       str  )      ->      Dict:







					"""simple docstring"""






					A__     =  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
					A__     =  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
									A__     =  tempfile.mkdtemp()

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

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

									shutil.rmtree(__lowerCAmelCase  )

					A__     =  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
									A__     =  tempfile.mkdtemp()

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

									A__     =  tokenizer.__class__.from_pretrained(__lowerCAmelCase  )
									A__     =  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  )

									A__     =  tokenizer.__class__.from_pretrained(__lowerCAmelCase				,      model_max_length=43  )
									self.assertEqual(tokenizer.model_max_length				,      43  )

									shutil.rmtree(__lowerCAmelCase  )






			def   a_			(     self  :       Optional[int]  )      ->      str:







					"""simple docstring"""






					A__     =  []
					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:
											A__     =  json.load(__lowerCAmelCase  )

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

									A__     =  [f'<extra_id_{i}>' for i in range(1_25  )]

									A__     =  added_tokens_extra_ids + [
									    """an_additional_special_token"""
									]
									A__     =  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
									A__     =  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
									A__     =  added_tokens_extra_ids + [AddedToken("""a_new_additional_special_token"""				,      lstrip=__lowerCAmelCase  )]
									A__     =  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   a_			(     self  :       Tuple  )      ->      Optional[Any]:







					"""simple docstring"""






					A__     =  []
					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  )

									A__     =  tokenizer_class.from_pretrained(__lowerCAmelCase  )

									self.assertTrue(tokenizer.decode([2_55]  ) == """"""  )






			def   a_			(     self  :       List[Any]  )      ->      Tuple:







					"""simple docstring"""






					pass






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







					"""simple docstring"""






					pass






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







					"""simple docstring"""






					pass






			def   a_			(     self  :       str  )      ->      Optional[int]:







					"""simple docstring"""






					pass






			def   a_			(     self  :       int  )      ->      Dict:







					"""simple docstring"""






					A__     =  self.get_tokenizers(fast=__lowerCAmelCase				,      do_lower_case=__lowerCAmelCase  )
					for tokenizer in tokenizers:
							with self.subTest(f'{tokenizer.__class__.__name__}'  ):
									A__     =  ["""t""", """h""", """i""", """s""", """ """, """i""", """s""", """ """, """a""", """ """, """t""", """e""", """x""", """t""", """</s>"""]
									A__     =  tokenizer.convert_tokens_to_string(__lowerCAmelCase  )

									self.assertIsInstance(__lowerCAmelCase				,      __lowerCAmelCase  )







			def   a_			(     self  :       List[Any]  )      ->      int:







					"""simple docstring"""






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

									A__     =  0
									A__     =  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]  )



