


"""simple docstring"""


def 	snake_case		(  UpperCamelCase__							:    Optional[int]      ,					UpperCamelCase__							:    str      ,					UpperCamelCase__							:    Optional[Any]      ,					UpperCamelCase__							:    Optional[int]      ,					UpperCamelCase__							:    Any     ) ->   Optional[Any]:



      if index == number_of_items:
            return 0
      lowerCamelCase       :       Optional[Any]   =						0
      lowerCamelCase       :       int   =						0
      lowerCamelCase       :       int   =						knapsack(lowerCamelCase_      ,					lowerCamelCase_      ,					lowerCamelCase_      ,					lowerCamelCase_      ,					index + 1     )
      if weights[index] <= max_weight:
            lowerCamelCase       :       Dict   =						values[index] + knapsack(
                lowerCamelCase_      ,					lowerCamelCase_      ,					lowerCamelCase_      ,					max_weight - weights[index]      ,					index + 1     )
      return max(lowerCamelCase_      ,					lowerCamelCase_     )


if __name__ == "__main__":
    import doctest

    doctest.testmod()











'''simple docstring'''




import unittest

from transformers import BigBirdTokenizer, BigBirdTokenizerFast
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


__UpperCAmelCase            =       """▁"""

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




@require_sentencepiece
@require_tokenizers
class      UpperCamelCase__					(					lowercase_						,					unittest.TestCase			):




					"""simple docstring"""
					SCREAMING_SNAKE_CASE__				=	BigBirdTokenizer
					SCREAMING_SNAKE_CASE__				=	BigBirdTokenizerFast
					SCREAMING_SNAKE_CASE__				=	True
					SCREAMING_SNAKE_CASE__				=	True


					def lowerCamelCase_			(						self				:			List[Any]						):

							'''simple docstring'''



							super().setUp()

							SCREAMING_SNAKE_CASE :				List[Any]		=			self.tokenizer_class(lowerCamelCase_      ,						keep_accents=lowerCamelCase_						)
							tokenizer.save_pretrained(self.tmpdirname						)


					def lowerCamelCase_			(						self				:			List[Any]						):

							'''simple docstring'''



							SCREAMING_SNAKE_CASE :				Union[str, Any]		=			"""<s>"""
							SCREAMING_SNAKE_CASE :				str		=			1

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


					def lowerCamelCase_			(						self				:			List[str]						):

							'''simple docstring'''



							SCREAMING_SNAKE_CASE :				Optional[Any]		=			list(self.get_tokenizer().get_vocab().keys()						)

							self.assertEqual(vocab_keys[0]      ,						"""<unk>"""						)
							self.assertEqual(vocab_keys[1]      ,						"""<s>"""						)
							self.assertEqual(vocab_keys[-1]      ,						"""[MASK]"""						)
							self.assertEqual(len(lowerCamelCase_						)      ,						10_04						)


					def lowerCamelCase_			(						self				:			str						):

							'''simple docstring'''



							self.assertEqual(self.get_tokenizer().vocab_size      ,						10_00						)


					def lowerCamelCase_			(						self				:			str						):

							'''simple docstring'''



							if not self.test_rust_tokenizer:
									return

							SCREAMING_SNAKE_CASE :				List[Any]		=			self.get_tokenizer()
							SCREAMING_SNAKE_CASE :				str		=			self.get_rust_tokenizer()

							SCREAMING_SNAKE_CASE :				Optional[Any]		=			"""I was born in 92000, and this is falsé."""

							SCREAMING_SNAKE_CASE :				Tuple		=			tokenizer.tokenize(lowerCamelCase_						)
							SCREAMING_SNAKE_CASE :				List[Any]		=			rust_tokenizer.tokenize(lowerCamelCase_						)
							self.assertListEqual(lowerCamelCase_      ,						lowerCamelCase_						)

							SCREAMING_SNAKE_CASE :				int		=			tokenizer.encode(lowerCamelCase_      ,						add_special_tokens=lowerCamelCase_						)
							SCREAMING_SNAKE_CASE :				Optional[Any]		=			rust_tokenizer.encode(lowerCamelCase_      ,						add_special_tokens=lowerCamelCase_						)
							self.assertListEqual(lowerCamelCase_      ,						lowerCamelCase_						)

							SCREAMING_SNAKE_CASE :				List[str]		=			self.get_rust_tokenizer()
							SCREAMING_SNAKE_CASE :				Optional[Any]		=			tokenizer.encode(lowerCamelCase_						)
							SCREAMING_SNAKE_CASE :				Optional[Any]		=			rust_tokenizer.encode(lowerCamelCase_						)
							self.assertListEqual(lowerCamelCase_      ,						lowerCamelCase_						)


					def lowerCamelCase_			(						self				:			str						):

							'''simple docstring'''



							SCREAMING_SNAKE_CASE :				int		=			BigBirdTokenizer(lowerCamelCase_      ,						keep_accents=lowerCamelCase_						)

							SCREAMING_SNAKE_CASE :				int		=			tokenizer.tokenize("""This is a test"""						)
							self.assertListEqual(lowerCamelCase_      ,						["""▁This""", """▁is""", """▁a""", """▁t""", """est"""]						)

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

							SCREAMING_SNAKE_CASE :				List[Any]		=			tokenizer.tokenize("""I was born in 92000, and this is falsé."""						)
							self.assertListEqual(
							    lowerCamelCase_      ,						[
							        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""",
							        """.""",
							    ]      ,						)
							SCREAMING_SNAKE_CASE :				int		=			tokenizer.convert_tokens_to_ids(lowerCamelCase_						)
							self.assertListEqual(
							    lowerCamelCase_      ,						[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]      ,						)

							SCREAMING_SNAKE_CASE :				int		=			tokenizer.convert_ids_to_tokens(lowerCamelCase_						)
							self.assertListEqual(
							    lowerCamelCase_      ,						[
							        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]						):

							'''simple docstring'''



							return BigBirdTokenizer.from_pretrained("""google/bigbird-roberta-base"""						)


					@slow
					def lowerCamelCase_			(						self				:			List[Any]						):

							'''simple docstring'''



							SCREAMING_SNAKE_CASE :				List[str]		=			"""Hello World!"""
							SCREAMING_SNAKE_CASE :				Tuple		=			[65, 1_85_36, 22_60, 1_01, 66]

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


					@slow
					def lowerCamelCase_			(						self				:			Dict						):

							'''simple docstring'''



							SCREAMING_SNAKE_CASE :				Dict		=			(
							    """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"""
							)
							# fmt: off
							SCREAMING_SNAKE_CASE :				Dict		=			[65, 8_71, 4_19, 3_58, 9_46, 9_91, 25_21, 4_52, 3_58, 13_57, 3_87, 77_51, 35_36, 1_12, 9_85, 4_56, 1_26, 8_65, 9_38, 54_00, 57_34, 4_58, 13_68, 4_67, 7_86, 24_62, 52_46, 11_59, 6_33, 8_65, 45_19, 4_57, 5_82, 8_52, 25_57, 4_27, 9_16, 5_08, 4_05, 3_43_24, 4_97, 3_91, 4_08, 1_13_42, 12_44, 3_85, 1_00, 9_38, 9_85, 4_56, 5_74, 3_62, 1_25_97, 32_00, 31_29, 11_72, 66]  # noqa: E231
							# fmt: on
							self.assertListEqual(lowerCamelCase_      ,						self.big_tokenizer.encode(lowerCamelCase_						)						)


					@require_torch
					@slow
					def lowerCamelCase_			(						self				:			Optional[Any]						):

							'''simple docstring'''



							import torch

							from transformers import BigBirdConfig, BigBirdModel

							# Build sequence
							SCREAMING_SNAKE_CASE :				int		=			list(self.big_tokenizer.get_vocab().keys()						)[:10]
							SCREAMING_SNAKE_CASE :				List[str]		=			""" """.join(lowerCamelCase_						)
							SCREAMING_SNAKE_CASE :				int		=			self.big_tokenizer.encode_plus(lowerCamelCase_      ,						return_tensors="""pt"""      ,						return_token_type_ids=lowerCamelCase_						)
							SCREAMING_SNAKE_CASE :				Any		=			self.big_tokenizer.batch_encode_plus(
							    [sequence + """ """ + sequence]      ,						return_tensors="""pt"""      ,						return_token_type_ids=lowerCamelCase_						)

							SCREAMING_SNAKE_CASE :				Dict		=			BigBirdConfig(attention_type="""original_full"""						)
							SCREAMING_SNAKE_CASE :				Tuple		=			BigBirdModel(lowerCamelCase_						)

							assert model.get_input_embeddings().weight.shape[0] >= self.big_tokenizer.vocab_size

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


					@slow
					def lowerCamelCase_			(						self				:			List[str]						):

							'''simple docstring'''



							SCREAMING_SNAKE_CASE :				Dict		=			BigBirdTokenizer.from_pretrained("""google/bigbird-roberta-base"""						)
							SCREAMING_SNAKE_CASE :				List[Any]		=			tokenizer.decode(tokenizer("""Paris is the [MASK]."""						).input_ids						)

							self.assertTrue(decoded_text == """[CLS] Paris is the[MASK].[SEP]"""						)



					@slow
					def lowerCamelCase_			(						self				:			str						):

							'''simple docstring'''



							SCREAMING_SNAKE_CASE :				Optional[int]		=			{"""input_ids""": [[65, 3_92_86, 4_58, 3_63_35, 20_01, 4_56, 1_30_73, 1_32_66, 4_55, 1_13, 77_46, 17_41, 1_11_57, 3_91, 1_30_73, 1_32_66, 4_55, 1_13, 39_67, 3_54_12, 1_13, 49_36, 1_09, 38_70, 23_77, 1_13, 3_00_84, 4_57_20, 4_58, 1_34, 1_74_96, 1_12, 5_03, 1_16_72, 1_13, 1_18, 1_12, 56_65, 1_33_47, 3_86_87, 1_12, 14_96, 3_13_89, 1_12, 32_68, 4_72_64, 1_34, 9_62, 1_12, 1_63_77, 80_35, 2_31_30, 4_30, 1_21_69, 1_55_18, 2_85_92, 4_58, 1_46, 4_16_97, 1_09, 3_91, 1_21_69, 1_55_18, 1_66_89, 4_58, 1_46, 4_13_58, 1_09, 4_52, 7_26, 40_34, 1_11, 7_63, 3_54_12, 50_82, 3_88, 19_03, 1_11, 90_51, 3_91, 28_70, 4_89_18, 19_00, 11_23, 5_50, 9_98, 1_12, 95_86, 1_59_85, 4_55, 3_91, 4_10, 2_29_55, 3_76_36, 1_14, 66], [65, 4_48, 1_74_96, 4_19, 36_63, 3_85, 7_63, 1_13, 2_75_33, 28_70, 32_83, 1_30_43, 16_39, 2_47_13, 5_23, 6_56, 2_40_13, 1_85_50, 25_21, 5_17, 2_70_14, 2_12_44, 4_20, 12_12, 14_65, 3_91, 9_27, 48_33, 3_88, 5_78, 1_17_86, 1_14, 66, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [65, 4_84, 21_69, 76_87, 2_19_32, 1_81_46, 7_26, 3_63, 1_70_32, 33_91, 1_14, 66, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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=lowerCamelCase_      ,						model_name="""google/bigbird-roberta-base"""      ,						revision="""215c99f1600e06f83acce68422f2035b2b5c3510"""      ,						)



