
'''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


_lowercase          =						get_tests_dir("""fixtures/test_sentencepiece.model""")




@require_sentencepiece
class     UpperCAmelCase_	(						_SCREAMING_SNAKE_CASE			,				unittest.TestCase					):






						'''simple docstring'''






						_lowercase						: List[str]										=  XLMProphetNetTokenizer
						_lowercase						: str										=  False
						_lowercase						: List[Any]										=  True




						def    _lowercase      (   self ):

												"""simple docstring"""



												super().setUp()

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




						def    _lowercase      (   self ):

												"""simple docstring"""



												_lowerCAmelCase    		=					"""[PAD]"""
												_lowerCAmelCase    		=					0

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




						def    _lowercase      (   self ):

												"""simple docstring"""



												_lowerCAmelCase    		=					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(_lowercase )       ,  1_012 )




						def    _lowercase      (   self ):

												"""simple docstring"""



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




						def    _lowercase      (   self ):

												"""simple docstring"""



												_lowerCAmelCase    		=					XLMProphetNetTokenizer(_lowercase       ,  keep_accents=_lowercase )

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

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

												_lowerCAmelCase    		=					tokenizer.tokenize("""I was born in 92000, and this is falsé.""" )
												self.assertListEqual(
												    _lowercase       ,  [
												        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""",
												        """.""",
												    ]       ,  )
												_lowerCAmelCase    		=					tokenizer.convert_tokens_to_ids(_lowercase )
												self.assertListEqual(
												    _lowercase       ,  [
												        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]
												    ]       ,  )

												_lowerCAmelCase    		=					tokenizer.convert_ids_to_tokens(_lowercase )
												self.assertListEqual(
												    _lowercase       ,  [
												        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    _lowercase      (   self ):

												"""simple docstring"""



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




						@slow
						def    _lowercase      (   self ):

												"""simple docstring"""



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




						@slow
						def    _lowercase      (   self ):

												"""simple docstring"""



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


'''simple docstring'''



import functools


def A (__lowerCamelCase :list[int]					,      __lowerCamelCase :list[int]						):

						# Validation
						if not isinstance(__lowerCamelCase					,      __lowerCamelCase						) or not all(isinstance(__lowerCamelCase					,      __lowerCamelCase						) for day in days						):
												raise ValueError("""The parameter days should be a list of integers"""						)

						if len(__lowerCamelCase						) != 3 or not all(isinstance(__lowerCamelCase					,      __lowerCamelCase						) for cost in costs						):
												raise ValueError("""The parameter costs should be a list of three integers"""						)

						if len(__lowerCamelCase						) == 0:
												return 0

						if min(__lowerCamelCase						) <= 0:
												raise ValueError("""All days elements should be greater than 0"""						)

						if max(__lowerCamelCase						) >= 366:
												raise ValueError("""All days elements should be less than 366"""						)

						_lowerCAmelCase    		=					set(__lowerCamelCase						)

						@functools.cache
						def dynamic_programming(__lowerCamelCase :int						) -> int:
												if index > 365:
																		return 0

												if index not in days_set:
																		return dynamic_programming(index + 1						)

												return min(
												    costs[0] + dynamic_programming(index + 1						)					,      costs[1] + dynamic_programming(index + 7						)					,      costs[2] + dynamic_programming(index + 30						)					,      )

						return dynamic_programming(1						)


if __name__ == "__main__":
						import doctest

						doctest.testmod()
