






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


__UpperCamelCase					:		Any	  =						get_tests_dir("""fixtures/test_sentencepiece.model""")


@require_sentencepiece
class   __SCREAMING_SNAKE_CASE(	UpperCamelCase__    ,  unittest.TestCase	):
							_UpperCAmelCase     =       XLMProphetNetTokenizer
							_UpperCAmelCase     =       False
							_UpperCAmelCase     =       True
							def lowerCAmelCase_ (     self:      Dict						)		->		Union[str, Any]:
											super().setUp()

											# We have a SentencePiece fixture for testing
											snake_case__									=     XLMProphetNetTokenizer(UpperCamelCase       ,	keep_accents=UpperCamelCase						)
											tokenizer.save_pretrained(self.tmpdirname						)
							def lowerCAmelCase_ (     self:      int						)		->		Tuple:
											snake_case__									=     '[PAD]'
											snake_case__									=     0

											self.assertEqual(self.get_tokenizer()._convert_token_to_id(UpperCamelCase						)       ,	UpperCamelCase						)
											self.assertEqual(self.get_tokenizer()._convert_id_to_token(UpperCamelCase						)       ,	UpperCamelCase						)
							def lowerCAmelCase_ (     self:      List[str]						)		->		List[str]:
											snake_case__									=     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						)       ,	10_12						)
							def lowerCAmelCase_ (     self:      List[str]						)		->		Any:
											self.assertEqual(self.get_tokenizer().vocab_size       ,	10_12						)
							def lowerCAmelCase_ (     self:      Optional[int]						)		->		Dict:
											snake_case__									=     XLMProphetNetTokenizer(UpperCamelCase       ,	keep_accents=UpperCamelCase						)

											snake_case__									=     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 [2_85, 46, 10, 1_70, 3_82]]       ,	)

											snake_case__									=     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',
											        '.',
											    ]       ,	)
											snake_case__									=     tokenizer.convert_tokens_to_ids(UpperCamelCase						)
											self.assertListEqual(
											    UpperCamelCase       ,	[
											        value + tokenizer.fairseq_offset
											        for value in [8, 21, 84, 55, 24, 19, 7, -9, 6_02, 3_47, 3_47, 3_47, 3, 12, 66, 46, 72, 80, 6, -9, 4]
											    ]       ,	)

											snake_case__									=     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 lowerCAmelCase_ (     self:      Optional[Any]						)		->		List[str]:
											return XLMProphetNetTokenizer.from_pretrained('microsoft/xprophetnet-large-wiki100-cased'						)
							@slow
							def lowerCAmelCase_ (     self:      Union[str, Any]						)		->		Optional[int]:
											snake_case__									=     'Hello World!'
											snake_case__									=     [3_53_89, 66_72, 49, 2]
											self.assertListEqual(UpperCamelCase       ,	self.big_tokenizer.encode(UpperCamelCase						)						)


							@slow
							def lowerCAmelCase_ (     self:      Union[str, Any]						)		->		List[Any]:
											# fmt: off
											snake_case__									=     {'input_ids': [[1_10_73, 8_27_83, 18, 26, 8_27_83, 5_49, 5_15_40, 2_48, 1_72_09, 13_01, 2_17, 20, 21_51_86, 13_25, 1_47, 1_72_09, 13_01, 2_17, 20, 5_63_70, 53, 12_20_20, 20, 1_64_77, 27, 8_73_55, 45_48, 20, 47_28, 7_83_92, 17, 15_99_69, 18, 26, 2_44_91, 6_29, 15, 5_38, 2_27_04, 54_39, 15, 27_88, 2_44_91, 98_85, 15, 4_35_34, 6_05, 15, 8_14, 1_84_03, 3_32_00, 29, 15, 4_35_34, 2_44_58, 1_24_10, 1_11, 2_49_66, 8_36_69, 96_37, 14_40_68, 26, 8_50, 2_23_46, 27, 1_47, 2_49_66, 8_36_69, 8_34_90, 26, 3_91_13, 7_35, 27, 6_89, 6_56, 28_00, 13_39, 46_00, 53, 12_20_20, 11_57_85, 34, 8_16, 13_39, 4_68_87, 18, 1_47, 5_39_05, 19_51, 4_22_38, 4_11_70, 1_77_32, 8_34, 4_36, 15, 2_75_23, 9_87_33, 2_17, 1_47, 55_42, 49_81, 9_30, 1_73_47, 16, 2], [2_00_91, 6_29, 94, 8_27_86, 58, 4_90, 20, 15_28, 84, 5_39_05, 3_44, 8_05_92, 11_01_28, 1_88_22, 52_67, 13_06, 62, 15_25_37, 3_08, 79_97, 4_01, 12_44_27, 5_49, 3_54_42, 2_25, 1_09, 1_50_55, 2_57_48, 1_47, 71_19, 4_37_12, 34, 7_67, 13_53_66, 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], [5_92, 6_37_84, 11_94_66, 17, 14_78_08, 8_82_14, 18, 6_56, 81, 32, 32_96, 1_02_80, 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'       ,	)












from collections.abc import Sequence
def      a_ (      _A      ,   _A  )			->			float:







				"""simple docstring"""
				return sum(c * (x**i) for i, c in enumerate(_A  )  )
def      a_ (      _A      ,   _A  )			->			float:







				"""simple docstring"""
				snake_case__									=     0.0
				for coeff in reversed(_A  ):
								snake_case__									=     result * x + coeff
				return result


if __name__ == "__main__":
							__UpperCamelCase					:		str	  =						(0.0, 0.0, 5.0, 9.3, 7.0)
							__UpperCamelCase					:		Dict	  =						1_0.0
							print(evaluate_poly(poly, x))
							print(horner(poly, x))




