

"""simple docstring"""


import unittest

from transformers import GPTSwaTokenizer
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin


UpperCAmelCase													=get_tests_dir("fixtures/test_sentencepiece_with_bytefallback.model")





@require_sentencepiece
@require_tokenizers
class lowerCamelCase__   (				SCREAMING_SNAKE_CASE     ,   unittest.TestCase    ):



    '''simple docstring'''




    _lowerCamelCase					=   GPTSwaTokenizer
    _lowerCamelCase					=   False
    _lowerCamelCase					=   True
    _lowerCamelCase					=   False




    def UpperCamelCase__		( self    )    ->      List[Any]:
          super().setUp()

          # We have a SentencePiece fixture for testing
          A				  =		GPTSwaTokenizer(lowerCamelCase_ ,eos_token="""<unk>""" ,bos_token="""<unk>""" ,pad_token="""<unk>"""    )

          tokenizer.save_pretrained(self.tmpdirname    )




    def UpperCamelCase__		( self ,lowerCamelCase_    )    ->      Union[str, Any]:
          A				  =		"""This is a test"""
          A				  =		"""This is a test"""
          return input_text, output_text




    def UpperCamelCase__		( self    )    ->      Dict:
          A				  =		"""<s>"""
          A				  =		1

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




    def UpperCamelCase__		( self    )    ->      str:
          A				  =		list(self.get_tokenizer().get_vocab().keys()    )

          self.assertEqual(vocab_keys[0] ,"""<unk>"""    )
          self.assertEqual(vocab_keys[1] ,"""<s>"""    )
          self.assertEqual(vocab_keys[-1] ,"""j"""    )
          self.assertEqual(len(lowerCamelCase_    ) ,2_0_0_0    )




    def UpperCamelCase__		( self    )    ->      List[Any]:
          self.assertEqual(self.get_tokenizer().vocab_size ,2_0_0_0    )




    def UpperCamelCase__		( self    )    ->      Dict:
          A				  =		GPTSwaTokenizer(lowerCamelCase_    )

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

          self.assertListEqual(tokenizer.convert_tokens_to_ids(lowerCamelCase_    ) ,[4_6_5, 2_8_7, 2_6_5, 6_3_1, 8_4_2]    )

          A				  =		tokenizer.tokenize("""I was born in 92000, and this is falsé."""    )
          # fmt: off
          self.assertListEqual(
              lowerCamelCase_ ,["""▁I""", """▁was""", """▁bor""", """n""", """▁in""", """▁""", """<0x39>""", """2""", """0""", """0""", """0""", """,""", """▁and""", """▁this""", """▁is""", """▁f""", """al""", """s""", """<0xC3>""", """<0xA9>""", """."""] ,)
          # fmt: on

          A				  =		tokenizer.convert_tokens_to_ids(lowerCamelCase_    )
          self.assertListEqual(
              lowerCamelCase_ ,[2_6_2, 2_7_2, 1_5_2_5, 2_8_6, 2_7_1, 2_6_8, 6_0, 9_1_6, 6_3_3, 6_3_3, 6_3_3, 2_5_9, 2_6_6, 3_0_1, 2_8_7, 3_8_4, 3_6_7, 2_6_3, 1_9_8, 1_7_2, 2_6_0] ,)

          A				  =		tokenizer.convert_ids_to_tokens(lowerCamelCase_    )
          # fmt: off
          self.assertListEqual(
              lowerCamelCase_ ,["""▁I""", """▁was""", """▁bor""", """n""", """▁in""", """▁""", """<0x39>""", """2""", """0""", """0""", """0""", """,""", """▁and""", """▁this""", """▁is""", """▁f""", """al""", """s""", """<0xC3>""", """<0xA9>""", """."""]    )
          # fmt: on




    def UpperCamelCase__		( self    )    ->      Union[str, Any]:
          A				  =		GPTSwaTokenizer(lowerCamelCase_    )
          A				  =		["""This is a test""", """I was born in 92000, and this is falsé."""]
          A				  =		[
              [4_6_5, 2_8_7, 2_6_5, 6_3_1, 8_4_2],
              [2_6_2, 2_7_2, 1_5_2_5, 2_8_6, 2_7_1, 2_6_8, 6_0, 9_1_6, 6_3_3, 6_3_3, 6_3_3, 2_5_9, 2_6_6, 3_0_1, 2_8_7, 3_8_4, 3_6_7, 2_6_3, 1_9_8, 1_7_2, 2_6_0],
          ]

          # Test that encode_fast returns the same as tokenize + convert_tokens_to_ids
          for text, expected_ids in zip(lowerCamelCase_ ,lowerCamelCase_    ):
                self.assertListEqual(tokenizer.encode_fast(lowerCamelCase_    ) ,lowerCamelCase_    )

          # Test that decode_fast returns the input text
          for text, token_ids in zip(lowerCamelCase_ ,lowerCamelCase_    ):
                self.assertEqual(tokenizer.decode_fast(lowerCamelCase_    ) ,lowerCamelCase_    )




    @slow
    def UpperCamelCase__		( self    )    ->      List[str]:
          A				  =		[
              """<|python|>def fibonacci(n)\n    if n < 0:\n        print('Incorrect input')""",
              """Hey there, how are you doing this fine day?""",
              """This is a text with a trailing spaces followed by a dot     .""",
              """Häj sväjs lillebrör! =)""",
              """Det är inget fel på Mr. Cool""",
          ]

          # fmt: off
          A				  =		{"""input_ids""": [[6_3_4_2_3, 5, 6_8_1_1, 1_4_9_5_4, 2_8_2, 8_1_6, 3_8_2_1, 6_3_4_6_6, 6_3_4_2_5, 6_3_4_6_2, 1_8, 6_3_9_7_8, 6_7_8, 3_0_1, 1_3_2_0, 6_3_4_2_3, 6_3_4_5_5, 6_3_4_5_8, 1_8, 6_3_9_8_2, 4_2_4_6, 3_9_4_0, 1_9_0_1, 4_7_7_8_9, 5_5_4_7, 1_8_9_9_4], [1_9_6_3_0, 1_1_0_0, 6_3_4_4_6, 1_3_4_2, 6_3_3, 5_4_4, 4_4_8_8, 5_9_3, 5_1_0_2, 2_4_1_6, 6_3_4_9_5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1_6_5_2, 4_2_8, 2_6_8, 1_9_3_6, 5_1_5, 2_6_8, 5_8_5_9_3, 2_2_4_1_3, 9_1_0_6, 5_4_6, 2_6_8, 3_3_2_1_3, 6_3_9_7_9, 6_9_8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [5_5_1_3_0, 6_3_4_5_0, 9_2_4, 6_3_4_4_9, 2_2_4_9, 4_0_6_2, 1_5_5_8, 3_1_8, 6_3_5_0_4, 2_1_4_9_8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [5_0_9, 3_7_7, 2_8_2_7, 2_5_5_9, 3_3_2, 6_5_7_5, 6_3_4_4_3, 2_6_8_0_1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], """token_type_ids""": [[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 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, 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], [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], [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]]}
          # fmt: on
          self.tokenizer_integration_test_util(
              expected_encoding=lowerCamelCase_ ,model_name="""AI-Sweden/gpt-sw3-126m""" ,sequences=lowerCamelCase_ ,)







"""simple docstring"""


import unittest

from knapsack import greedy_knapsack as kp





class lowerCamelCase__   (				unittest.TestCase    ):



    '''simple docstring'''




    def UpperCamelCase__		( self    )    ->      Any:
          A				  =		[1_0, 2_0, 3_0, 4_0, 5_0, 6_0]
          A				  =		[2, 4, 6, 8, 1_0, 1_2]
          A				  =		1_0_0
          self.assertEqual(kp.calc_profit(lowerCamelCase_ ,lowerCamelCase_ ,lowerCamelCase_    ) ,2_1_0    )




    def UpperCamelCase__		( self    )    ->      List[Any]:
          self.assertRaisesRegex(lowerCamelCase_ ,"""max_weight must greater than zero."""    )




    def UpperCamelCase__		( self    )    ->      Any:
          self.assertRaisesRegex(lowerCamelCase_ ,"""Weight can not be negative."""    )




    def UpperCamelCase__		( self    )    ->      str:
          self.assertRaisesRegex(lowerCamelCase_ ,"""Profit can not be negative."""    )




    def UpperCamelCase__		( self    )    ->      Optional[int]:
          self.assertRaisesRegex(lowerCamelCase_ ,"""max_weight must greater than zero."""    )




    def UpperCamelCase__		( self    )    ->      str:
          self.assertRaisesRegex(
              lowerCamelCase_ ,"""The length of profit and weight must be same."""    )


if __name__ == "__main__":
  unittest.main()




