
import unittest

from transformers import SPIECE_UNDERLINE, ReformerTokenizer, ReformerTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, require_torch, slow
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin


lowerCamelCase_						     =					get_tests_dir('''fixtures/test_sentencepiece.model''')




@require_sentencepiece
@require_tokenizers
class      __A(    lowercase__    ,				unittest.TestCase			):

		"""simple docstring"""
		SCREAMING_SNAKE_CASE__         =      ReformerTokenizer
		SCREAMING_SNAKE_CASE__         =      ReformerTokenizerFast
		SCREAMING_SNAKE_CASE__         =      True
		SCREAMING_SNAKE_CASE__         =      False
		SCREAMING_SNAKE_CASE__         =      True







		def 	UpperCAmelCase_ (self						):
							super().setUp()

							UpperCamelCase__				=    ReformerTokenizer(_UpperCamelCase	,      keep_accents=_UpperCamelCase						)
							tokenizer.save_pretrained(self.tmpdirname						)







		def 	UpperCAmelCase_ (self						):
							UpperCamelCase__				=    """<s>"""
							UpperCamelCase__				=    1

							self.assertEqual(self.get_tokenizer()._convert_token_to_id(_UpperCamelCase						)	,      _UpperCamelCase						)
							self.assertEqual(self.get_tokenizer()._convert_id_to_token(_UpperCamelCase						)	,      _UpperCamelCase						)







		def 	UpperCAmelCase_ (self						):
							UpperCamelCase__				=    list(self.get_tokenizer().get_vocab().keys()						)

							self.assertEqual(vocab_keys[0]	,      """<unk>"""						)
							self.assertEqual(vocab_keys[1]	,      """<s>"""						)
							self.assertEqual(vocab_keys[-1]	,      """j"""						)
							self.assertEqual(len(_UpperCamelCase						)	,      10_00						)







		def 	UpperCAmelCase_ (self						):
							self.assertEqual(self.get_tokenizer().vocab_size	,      10_00						)







		def 	UpperCAmelCase_ (self						):
							if not self.test_rust_tokenizer:
												return

							UpperCamelCase__				=    self.get_tokenizer()
							UpperCamelCase__				=    self.get_rust_tokenizer()

							UpperCamelCase__				=    """I was born in 92000, and this is falsé."""

							UpperCamelCase__				=    tokenizer.tokenize(_UpperCamelCase						)
							UpperCamelCase__				=    rust_tokenizer.tokenize(_UpperCamelCase						)
							self.assertListEqual(_UpperCamelCase	,      _UpperCamelCase						)

							UpperCamelCase__				=    tokenizer.encode(_UpperCamelCase	,      add_special_tokens=_UpperCamelCase						)
							UpperCamelCase__				=    rust_tokenizer.encode(_UpperCamelCase	,      add_special_tokens=_UpperCamelCase						)
							self.assertListEqual(_UpperCamelCase	,      _UpperCamelCase						)

							UpperCamelCase__				=    self.get_rust_tokenizer()
							UpperCamelCase__				=    tokenizer.encode(_UpperCamelCase						)
							UpperCamelCase__				=    rust_tokenizer.encode(_UpperCamelCase						)
							self.assertListEqual(_UpperCamelCase	,      _UpperCamelCase						)







		def 	UpperCAmelCase_ (self	,      SCREAMING_SNAKE_CASE_=15						):
							for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
												with self.subTest(F"{tokenizer.__class__.__name__} ({pretrained_name})"						):
																	UpperCamelCase__				=    self.rust_tokenizer_class.from_pretrained(_UpperCamelCase	,      **_UpperCamelCase						)

																	# Simple input
																	UpperCamelCase__				=    """This is a simple input"""
																	UpperCamelCase__				=    ["""This is a simple input 1""", """This is a simple input 2"""]
																	UpperCamelCase__				=    ("""This is a simple input""", """This is a pair""")
																	UpperCamelCase__				=    [
																	    ("""This is a simple input 1""", """This is a simple input 2"""),
																	    ("""This is a simple pair 1""", """This is a simple pair 2"""),
																	]

																	# Simple input tests
																	self.assertRaises(_UpperCamelCase	,      tokenizer_r.encode	,      _UpperCamelCase	,      max_length=_UpperCamelCase	,      padding="""max_length"""						)

																	# Simple input
																	self.assertRaises(_UpperCamelCase	,      tokenizer_r.encode_plus	,      _UpperCamelCase	,      max_length=_UpperCamelCase	,      padding="""max_length"""						)

																	# Simple input
																	self.assertRaises(
																	    _UpperCamelCase	,      tokenizer_r.batch_encode_plus	,      _UpperCamelCase	,      max_length=_UpperCamelCase	,      padding="""max_length"""	,      )

																	# Pair input
																	self.assertRaises(_UpperCamelCase	,      tokenizer_r.encode	,      _UpperCamelCase	,      max_length=_UpperCamelCase	,      padding="""max_length"""						)

																	# Pair input
																	self.assertRaises(_UpperCamelCase	,      tokenizer_r.encode_plus	,      _UpperCamelCase	,      max_length=_UpperCamelCase	,      padding="""max_length"""						)

																	# Pair input
																	self.assertRaises(
																	    _UpperCamelCase	,      tokenizer_r.batch_encode_plus	,      _UpperCamelCase	,      max_length=_UpperCamelCase	,      padding="""max_length"""	,      )







		def 	UpperCAmelCase_ (self						):
							pass







		def 	UpperCAmelCase_ (self						):
							UpperCamelCase__				=    ReformerTokenizer(_UpperCamelCase	,      keep_accents=_UpperCamelCase						)

							UpperCamelCase__				=    tokenizer.tokenize("""This is a test"""						)
							self.assertListEqual(_UpperCamelCase	,      ["""▁This""", """▁is""", """▁a""", """▁t""", """est"""]						)

							self.assertListEqual(
							    tokenizer.convert_tokens_to_ids(_UpperCamelCase						)	,      [2_85, 46, 10, 1_70, 3_82]	,      )

							UpperCamelCase__				=    tokenizer.tokenize("""I was born in 92000, and this is falsé."""						)
							self.assertListEqual(
							    _UpperCamelCase	,      [
							        SPIECE_UNDERLINE + """I""",
							        SPIECE_UNDERLINE + """was""",
							        SPIECE_UNDERLINE + """b""",
							        """or""",
							        """n""",
							        SPIECE_UNDERLINE + """in""",
							        SPIECE_UNDERLINE + """""",
							        """9""",
							        """2""",
							        """0""",
							        """0""",
							        """0""",
							        """,""",
							        SPIECE_UNDERLINE + """and""",
							        SPIECE_UNDERLINE + """this""",
							        SPIECE_UNDERLINE + """is""",
							        SPIECE_UNDERLINE + """f""",
							        """al""",
							        """s""",
							        """é""",
							        """.""",
							    ]	,      )
							UpperCamelCase__				=    tokenizer.convert_tokens_to_ids(_UpperCamelCase						)
							self.assertListEqual(
							    _UpperCamelCase	,      [8, 21, 84, 55, 24, 19, 7, 0, 6_02, 3_47, 3_47, 3_47, 3, 12, 66, 46, 72, 80, 6, 0, 4]	,      )

							UpperCamelCase__				=    tokenizer.convert_ids_to_tokens(_UpperCamelCase						)
							self.assertListEqual(
							    _UpperCamelCase	,      [
							        SPIECE_UNDERLINE + """I""",
							        SPIECE_UNDERLINE + """was""",
							        SPIECE_UNDERLINE + """b""",
							        """or""",
							        """n""",
							        SPIECE_UNDERLINE + """in""",
							        SPIECE_UNDERLINE + """""",
							        """<unk>""",
							        """2""",
							        """0""",
							        """0""",
							        """0""",
							        """,""",
							        SPIECE_UNDERLINE + """and""",
							        SPIECE_UNDERLINE + """this""",
							        SPIECE_UNDERLINE + """is""",
							        SPIECE_UNDERLINE + """f""",
							        """al""",
							        """s""",
							        """<unk>""",
							        """.""",
							    ]	,      )







		@cached_property
		def 	UpperCAmelCase_ (self						):
							return ReformerTokenizer.from_pretrained("""google/reformer-crime-and-punishment"""						)







		@slow
		def 	UpperCAmelCase_ (self						):
							UpperCamelCase__				=    """Hello World!"""
							UpperCamelCase__				=    [1_26, 32, 2_62, 1_52, 38, 72, 2_87]

							self.assertListEqual(_UpperCamelCase	,      self.big_tokenizer.encode(_UpperCamelCase						)						)







		@slow
		def 	UpperCAmelCase_ (self						):
							UpperCamelCase__				=    (
							    """This is a very long text with a lot of weird characters, such as: . , ~ ? ( ) \" [ ] ! : - . Also we will"""
							    """ add words that should not exsist and be tokenized to <unk>, such as saoneuhaoesuth"""
							)
							UpperCamelCase__				=    [
							    1_08,
							    2_65,
							    24,
							    1_11,
							    4,
							    2_58,
							    1_56,
							    35,
							    28,
							    2_75,
							    3,
							    2_59,
							    2_97,
							    2_60,
							    84,
							    4,
							    35,
							    1_10,
							    44,
							    8,
							    2_59,
							    91,
							    2_68,
							    21,
							    11,
							    2_09,
							    2_74,
							    1_09,
							    2_66,
							    2_77,
							    1_17,
							    86,
							    93,
							    3_15,
							    2_58,
							    2_78,
							    2_58,
							    2_77,
							    2_58,
							    0,
							    2_58,
							    2_88,
							    2_58,
							    3_19,
							    2_58,
							    0,
							    2_58,
							    0,
							    2_58,
							    0,
							    2_58,
							    0,
							    2_58,
							    2_87,
							    2_58,
							    3_15,
							    2_58,
							    2_89,
							    2_58,
							    2_78,
							    99,
							    2_69,
							    2_66,
							    2_62,
							    8,
							    2_59,
							    2_41,
							    4,
							    2_17,
							    2_30,
							    2_68,
							    2_66,
							    55,
							    1_68,
							    1_06,
							    75,
							    1_93,
							    2_66,
							    2_23,
							    27,
							    49,
							    26,
							    2_82,
							    25,
							    2_64,
							    2_99,
							    19,
							    26,
							    0,
							    2_58,
							    2_77,
							    1_17,
							    86,
							    93,
							    1_76,
							    1_83,
							    2_70,
							    11,
							    2_62,
							    42,
							    61,
							    2_65,
							]

							self.assertListEqual(_UpperCamelCase	,      self.big_tokenizer.encode(_UpperCamelCase						)						)







		@require_torch
		@slow
		def 	UpperCAmelCase_ (self						):
							import torch

							from transformers import ReformerConfig, ReformerModel

							# Build sequence
							UpperCamelCase__				=    list(self.big_tokenizer.get_vocab().keys()						)[:10]
							UpperCamelCase__				=    """ """.join(_UpperCamelCase						)
							UpperCamelCase__				=    self.big_tokenizer.encode_plus(_UpperCamelCase	,      return_tensors="""pt"""						)
							UpperCamelCase__				=    self.big_tokenizer.batch_encode_plus([sequence, sequence]	,      return_tensors="""pt"""						)

							UpperCamelCase__				=    ReformerConfig()
							# The input gets padded during training so adjust the axial position encodings from the pretrained model value of (512, 1024)
							UpperCamelCase__				=    encoded_sequence["""input_ids"""].shape
							UpperCamelCase__				=    ReformerModel(_UpperCamelCase						)

							# Reformer has config.vocab_size == tokenizer.vocab_size == len(tokenizer) - 1 = 320; len(tokenizer) is 321 (including a pad token with id 320)
							assert model.get_input_embeddings().weight.shape[0] >= self.big_tokenizer.vocab_size

							with torch.no_grad():
												model(**_UpperCamelCase						)
												model(**_UpperCamelCase						)







		@slow
		def 	UpperCAmelCase_ (self						):
							# fmt: off
							UpperCamelCase__				=    {"""input_ids""": [[1_08, 2_65, 24, 1_11, 4, 2_58, 1_56, 7, 51, 2_79, 58, 7, 76, 25, 69, 2_78], [1_40, 2_43, 2_64, 1_34, 17, 2_67, 77, 2_63, 22, 2_62, 2_97, 2_58, 3_04, 1_77, 2_79, 2_66, 14, 89, 13, 35, 2_61, 2_99, 2_72, 1_37, 2_75, 2_78]], """attention_mask""": [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]]}  # noqa: E501
							# fmt: on

							# This tokenizer does not know some characters like ")".
							# That is the reason why we use very simple texts here.
							# Also see https://github.com/huggingface/transformers/pull/11737#issuecomment-850769064
							UpperCamelCase__				=    [
							    """This is a very simple sentence.""",
							    """The quick brown fox jumps over the lazy dog.""",
							]

							self.tokenizer_integration_test_util(
							    expected_encoding=_UpperCamelCase	,      model_name="""google/reformer-crime-and-punishment"""	,      revision="""0e6c3decb8211d49bf881013425dc8b0448b3f5a"""	,      padding=_UpperCamelCase	,      sequences=_UpperCamelCase	,      )







import argparse
from collections import defaultdict

import yaml


lowerCamelCase_						     =					'''docs/source/en/_toctree.yml'''






def 						__magic_name__			(   __a      :	Union[str, 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 						__magic_name__			(   __a      :	int=False						):



     '''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__":
    lowerCamelCase_						     =					argparse.ArgumentParser()
    parser.add_argument('''--fix_and_overwrite''', action='''store_true''', help='''Whether to fix inconsistencies.''')
    lowerCamelCase_						     =					parser.parse_args()

    check_model_doc(args.fix_and_overwrite)





