


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


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







@require_sentencepiece
class 							UpperCamelCase__ (						__UpperCamelCase				,					unittest.TestCase ):
					__SCREAMING_SNAKE_CASE							:	Optional[int]            = XLMProphetNetTokenizer
					__SCREAMING_SNAKE_CASE							:	List[Any]            = False
					__SCREAMING_SNAKE_CASE							:	str            = True

					def 	UpperCAmelCase__							(  self							: Optional[Any]							):






										'''simple docstring'''






										super().setUp()

										# We have a SentencePiece fixture for testing
										lowercase_					=      XLMProphetNetTokenizer(__UpperCAmelCase				,       keep_accents=__UpperCAmelCase							)
										tokenizer.save_pretrained(self.tmpdirname							)

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






										'''simple docstring'''






										lowercase_					=      "[PAD]"
										lowercase_					=      0

										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							: Any							):






										'''simple docstring'''






										lowercase_					=      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(__UpperCAmelCase							)				,       1_012							)

					def 	UpperCAmelCase__							(  self							: List[Any]							):






										'''simple docstring'''






										self.assertEqual(self.get_tokenizer().vocab_size				,       1_012							)

					def 	UpperCAmelCase__							(  self							: str							):






										'''simple docstring'''






										lowercase_					=      XLMProphetNetTokenizer(__UpperCAmelCase				,       keep_accents=__UpperCAmelCase							)

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

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

										lowercase_					=      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""",
										        """.""",
										    ]				,       )
										lowercase_					=      tokenizer.convert_tokens_to_ids(__UpperCAmelCase							)
										self.assertListEqual(
										    __UpperCAmelCase				,       [
										        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_					=      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							: Union[str, Any]							):






										'''simple docstring'''






										return XLMProphetNetTokenizer.from_pretrained("""microsoft/xprophetnet-large-wiki100-cased"""							)

					@slow
					def 	UpperCAmelCase__							(  self							: Optional[int]							):






										'''simple docstring'''






										lowercase_					=      "Hello World!"
										lowercase_					=      [35_389, 6_672, 49, 2]
										self.assertListEqual(__UpperCAmelCase				,       self.big_tokenizer.encode(__UpperCAmelCase							)							)







					@slow
					def 	UpperCAmelCase__							(  self							: Union[str, Any]							):






										'''simple docstring'''






										lowercase_					=      {"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=__UpperCAmelCase				,       model_name="""microsoft/xprophetnet-large-wiki100-cased"""				,       revision="""1acad1643ddd54a44df6a1b797ada8373685d90e"""				,       )










UpperCAmelCase__      			=						'''Input must be a string of 8 numbers plus letter'''
UpperCAmelCase__      			=						'''TRWAGMYFPDXBNJZSQVHLCKE'''







def     a_   (__A      )				->						bool:



					"""simple docstring"""

					if not isinstance(__A				,       __A      ):
										__a					:						Any      =					f'Expected string as input, found {type(__A      ).__name__}'
										raise TypeError(__A      )

					__a					:						int      =					spanish_id.replace("-"				,       ""      ).upper()
					if len(__A      ) != 9:
										raise ValueError(__A      )

					try:
										__a					:						Tuple      =					int(spanish_id_clean[0:8]      )
										__a					:						Optional[int]      =					spanish_id_clean[8]
					except ValueError as ex:
										raise ValueError(__A      ) from ex

					if letter.isdigit():
										raise ValueError(__A      )

					return letter == LOOKUP_LETTERS[number % 23]


if __name__ == "__main__":
			import doctest

			doctest.testmod()





