






a_		:    Optional[int]   							=     9.80_665






def 					lowerCamelCase__					(_UpperCAmelCase				,							_UpperCAmelCase				,							_UpperCAmelCase = g):

			if fluid_density <= 0:
						raise ValueError('Impossible fluid density')
			if volume < 0:
						raise ValueError('Impossible Object volume')
			if gravity <= 0:
						raise ValueError('Impossible Gravity')

			return fluid_density * gravity * volume


if __name__ == "__main__":
				import doctest

				# run doctest
				doctest.testmod()







'''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						:  Dict							       =				get_tests_dir("fixtures/test_sentencepiece_with_bytefallback.model")



@require_sentencepiece
@require_tokenizers
class 				_snake_case					(   a_     , unittest.TestCase			):
  SCREAMING_SNAKE_CASE			:       int				=     GPTSwaTokenizer
  SCREAMING_SNAKE_CASE			:       Union[str, Any]				=     False
  SCREAMING_SNAKE_CASE			:       Any				=     True
  SCREAMING_SNAKE_CASE			:       Any				=     False

  def   _SCREAMING_SNAKE_CASE				(				self	):





      '''simple docstring'''

      super().setUp()

      # We have a SentencePiece fixture for testing
      lowerCAmelCase 						=							GPTSwaTokenizer(_SCREAMING_SNAKE_CASE      , eos_token='<unk>'      , bos_token='<unk>'      , pad_token='<unk>'	)

      tokenizer.save_pretrained(self.tmpdirname	)

  def   _SCREAMING_SNAKE_CASE				(				self      , _SCREAMING_SNAKE_CASE	):





      '''simple docstring'''

      lowerCAmelCase 						=							'This is a test'
      lowerCAmelCase 						=							'This is a test'
      return input_text, output_text

  def   _SCREAMING_SNAKE_CASE				(				self	):





      '''simple docstring'''

      lowerCAmelCase 						=							'<s>'
      lowerCAmelCase 						=							1

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

  def   _SCREAMING_SNAKE_CASE				(				self	):





      '''simple docstring'''

      lowerCAmelCase 						=							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(_SCREAMING_SNAKE_CASE	)      , 20_00	)

  def   _SCREAMING_SNAKE_CASE				(				self	):





      '''simple docstring'''

      self.assertEqual(self.get_tokenizer().vocab_size      , 20_00	)

  def   _SCREAMING_SNAKE_CASE				(				self	):





      '''simple docstring'''

      lowerCAmelCase 						=							GPTSwaTokenizer(_SCREAMING_SNAKE_CASE	)

      lowerCAmelCase 						=							tokenizer.tokenize('This is a test'	)
      self.assertListEqual(_SCREAMING_SNAKE_CASE      , ['▁This', '▁is', '▁a', '▁t', 'est']	)

      self.assertListEqual(tokenizer.convert_tokens_to_ids(_SCREAMING_SNAKE_CASE	)      , [4_65, 2_87, 2_65, 6_31, 8_42]	)

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

      lowerCAmelCase 						=							tokenizer.convert_tokens_to_ids(_SCREAMING_SNAKE_CASE	)
      self.assertListEqual(
          _SCREAMING_SNAKE_CASE      , [2_62, 2_72, 15_25, 2_86, 2_71, 2_68, 60, 9_16, 6_33, 6_33, 6_33, 2_59, 2_66, 3_01, 2_87, 3_84, 3_67, 2_63, 1_98, 1_72, 2_60]      , )

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

  def   _SCREAMING_SNAKE_CASE				(				self	):





      '''simple docstring'''

      lowerCAmelCase 						=							GPTSwaTokenizer(_SCREAMING_SNAKE_CASE	)
      lowerCAmelCase 						=							['This is a test', 'I was born in 92000, and this is falsé.']
      lowerCAmelCase 						=							[
          [4_65, 2_87, 2_65, 6_31, 8_42],
          [2_62, 2_72, 15_25, 2_86, 2_71, 2_68, 60, 9_16, 6_33, 6_33, 6_33, 2_59, 2_66, 3_01, 2_87, 3_84, 3_67, 2_63, 1_98, 1_72, 2_60],
      ]

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

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


  @slow
  def   _SCREAMING_SNAKE_CASE				(				self	):





      '''simple docstring'''

      lowerCAmelCase 						=							[
          '<|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
      lowerCAmelCase 						=							{'input_ids': [[6_34_23, 5, 68_11, 1_49_54, 2_82, 8_16, 38_21, 6_34_66, 6_34_25, 6_34_62, 18, 6_39_78, 6_78, 3_01, 13_20, 6_34_23, 6_34_55, 6_34_58, 18, 6_39_82, 42_46, 39_40, 19_01, 4_77_89, 55_47, 1_89_94], [1_96_30, 11_00, 6_34_46, 13_42, 6_33, 5_44, 44_88, 5_93, 51_02, 24_16, 6_34_95, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [16_52, 4_28, 2_68, 19_36, 5_15, 2_68, 5_85_93, 2_24_13, 91_06, 5_46, 2_68, 3_32_13, 6_39_79, 6_98, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [5_51_30, 6_34_50, 9_24, 6_34_49, 22_49, 40_62, 15_58, 3_18, 6_35_04, 2_14_98, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [5_09, 3_77, 28_27, 25_59, 3_32, 65_75, 6_34_43, 2_68_01, 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=_SCREAMING_SNAKE_CASE      , model_name='AI-Sweden/gpt-sw3-126m'      , sequences=_SCREAMING_SNAKE_CASE      , )





