






"""simple docstring"""







import argparse
from collections import defaultdict

import yaml


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


def      UpperCamelCase       ( _A )     ->       int:
				lowercase    :      List[Any]       = defaultdict(_A )
				for doc in model_doc:
								counts[doc["local"]] += 1
				lowercase    :      List[str]       = [key for key, value in counts.items() if value > 1]

				lowercase    :      Dict       = []
				for duplicate_key in duplicates:
								lowercase    :      List[str]       = 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      UpperCamelCase       ( _A=False )     ->       Dict:
				with open(_A  ,				encoding="""utf-8""" ) as f:
								lowercase    :      Dict       = yaml.safe_load(f.read() )

				# Get to the API doc
				lowercase    :      Union[str, Any]       = 0
				while content[api_idx]["title"] != "API":
								api_idx += 1
				lowercase    :      List[str]       = content[api_idx]["""sections"""]

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

				lowercase    :      Dict       = api_doc[model_idx]["""sections"""]

				lowercase    :      Tuple       = [(idx, section) for idx, section in enumerate(_A ) if """sections""" in section]
				lowercase    :      Union[str, Any]       = False
				for idx, modality_doc in modalities_docs:
								lowercase    :      Any       = modality_doc["""sections"""]
								lowercase    :      Any       = clean_model_doc_toc(_A )

								if old_modality_doc != new_modality_doc:
												lowercase    :      Tuple       = True
												if overwrite:
																lowercase    :      Dict       = new_modality_doc

				if diff:
								if overwrite:
												lowercase    :      Union[str, Any]       = model_doc
												lowercase    :      Optional[Any]       = 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)








"""simple docstring"""







import unittest

from transformers.models.xlm_prophetnet.tokenization_xlm_prophetnet import SPIECE_UNDERLINE, XLMProphetNetTokenizer
from transformers.testing_utils import get_tests_dir, require_sentencepiece, slow
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin


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


@require_sentencepiece
class      UpperCamelCase		(__snake_case						,						unittest.TestCase     ):
						_SCREAMING_SNAKE_CASE  : Optional[Any]												=		XLMProphetNetTokenizer
						_SCREAMING_SNAKE_CASE  : Optional[int]												=		False
						_SCREAMING_SNAKE_CASE  : Optional[int]												=		True






						def      __snake_case      (		self  :Optional[int]				)      ->List[str]:
										super().setUp()

										# We have a SentencePiece fixture for testing
										lowercase    :      List[str]       = XLMProphetNetTokenizer(__magic_name__			, keep_accents=__magic_name__				)
										tokenizer.save_pretrained(self.tmpdirname				)






						def      __snake_case      (		self  :int				)      ->Any:
										lowercase    :      Dict       = """[PAD]"""
										lowercase    :      Tuple       = 0

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






						def      __snake_case      (		self  :Any				)      ->Union[str, Any]:
										lowercase    :      Optional[int]       = list(self.get_tokenizer().get_vocab().keys()				)

										self.assertEqual(vocab_keys[0]			, """[PAD]"""				)
										self.assertEqual(vocab_keys[1]			, """[CLS]"""				)
										self.assertEqual(vocab_keys[-1]			, """j"""				)
										self.assertEqual(len(__magic_name__				)			, 1_012				)






						def      __snake_case      (		self  :int				)      ->int:
										self.assertEqual(self.get_tokenizer().vocab_size			, 1_012				)






						def      __snake_case      (		self  :Optional[Any]				)      ->List[Any]:
										lowercase    :      Optional[Any]       = XLMProphetNetTokenizer(__magic_name__			, keep_accents=__magic_name__				)

										lowercase    :      Union[str, Any]       = tokenizer.tokenize("""This is a test"""				)
										self.assertListEqual(__magic_name__			, ["""▁This""", """▁is""", """▁a""", """▁t""", """est"""]				)

										self.assertListEqual(
										    tokenizer.convert_tokens_to_ids(__magic_name__				)			, [value + tokenizer.fairseq_offset for value in [285, 46, 10, 170, 382]]			, )

										lowercase    :      Optional[Any]       = tokenizer.tokenize("""I was born in 92000, and this is falsé."""				)
										self.assertListEqual(
										    __magic_name__			, [
										        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""",
										        """.""",
										    ]			, )
										lowercase    :      Optional[int]       = tokenizer.convert_tokens_to_ids(__magic_name__				)
										self.assertListEqual(
										    __magic_name__			, [
										        value + tokenizer.fairseq_offset
										        for value in [8, 21, 84, 55, 24, 19, 7, -9, 602, 347, 347, 347, 3, 12, 66, 46, 72, 80, 6, -9, 4]
										    ]			, )

										lowercase    :      Union[str, Any]       = tokenizer.convert_ids_to_tokens(__magic_name__				)
										self.assertListEqual(
										    __magic_name__			, [
										        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      __snake_case      (		self  :List[Any]				)      ->str:
										return XLMProphetNetTokenizer.from_pretrained("""microsoft/xprophetnet-large-wiki100-cased"""				)






						@slow
						def      __snake_case      (		self  :int				)      ->Optional[Any]:
										lowercase    :      str       = """Hello World!"""
										lowercase    :      Optional[Any]       = [35_389, 6_672, 49, 2]
										self.assertListEqual(__magic_name__			, self.big_tokenizer.encode(__magic_name__				)				)






						@slow
						def      __snake_case      (		self  :Optional[int]				)      ->Union[str, Any]:
										# fmt: off
										lowercase    :      Optional[int]       = {"""input_ids""": [[11_073, 82_783, 18, 26, 82_783, 549, 51_540, 248, 17_209, 1_301, 217, 20, 215_186, 1_325, 147, 17_209, 1_301, 217, 20, 56_370, 53, 122_020, 20, 16_477, 27, 87_355, 4_548, 20, 4_728, 78_392, 17, 159_969, 18, 26, 24_491, 629, 15, 538, 22_704, 5_439, 15, 2_788, 24_491, 9_885, 15, 43_534, 605, 15, 814, 18_403, 33_200, 29, 15, 43_534, 24_458, 12_410, 111, 24_966, 83_669, 9_637, 144_068, 26, 850, 22_346, 27, 147, 24_966, 83_669, 83_490, 26, 39_113, 735, 27, 689, 656, 2_800, 1_339, 4_600, 53, 122_020, 115_785, 34, 816, 1_339, 46_887, 18, 147, 53_905, 1_951, 42_238, 41_170, 17_732, 834, 436, 15, 27_523, 98_733, 217, 147, 5_542, 4_981, 930, 17_347, 16, 2], [20_091, 629, 94, 82_786, 58, 490, 20, 1_528, 84, 53_905, 344, 80_592, 110_128, 18_822, 5_267, 1_306, 62, 152_537, 308, 7_997, 401, 124_427, 549, 35_442, 225, 109, 15_055, 25_748, 147, 7_119, 43_712, 34, 767, 135_366, 18, 16, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [592, 63_784, 119_466, 17, 147_808, 88_214, 18, 656, 81, 32, 3_296, 10_280, 16, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], """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, 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, 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, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]}  # noqa: E501
										# fmt: on

										self.tokenizer_integration_test_util(
										    expected_encoding=__magic_name__			, model_name="""microsoft/xprophetnet-large-wiki100-cased"""			, revision="""1acad1643ddd54a44df6a1b797ada8373685d90e"""			, )
