






"""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


__lowerCamelCase							=  get_tests_dir('fixtures/test_sentencepiece_with_bytefallback.model')



@require_sentencepiece
@require_tokenizers
class       __A		(   SCREAMING_SNAKE_CASE_     ,unittest.TestCase			):
					UpperCAmelCase__								=				GPTSwaTokenizer
					UpperCAmelCase__								=				False
					UpperCAmelCase__								=				True
					UpperCAmelCase__								=				False

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

											# We have a SentencePiece fixture for testing
											__magic_name__:	Any							=       GPTSwaTokenizer(__snake_case     ,		eos_token="""<unk>"""     ,		bos_token="""<unk>"""     ,		pad_token="""<unk>"""					)

											tokenizer.save_pretrained(self.tmpdirname					)

					def   lowerCamelCase__   (			self  :      List[Any]     ,		__snake_case  :      List[Any]					)			->							Optional[int]:
											__magic_name__:	Tuple							=       """This is a test"""
											__magic_name__:	Dict							=       """This is a test"""
											return input_text, output_text

					def   lowerCamelCase__   (			self  :      Dict					)			->							str:
											__magic_name__:	Union[str, Any]							=       """<s>"""
											__magic_name__:	Any							=       1

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

					def   lowerCamelCase__   (			self  :      Tuple					)			->							Optional[int]:
											__magic_name__:	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]     ,		"""j"""					)
											self.assertEqual(len(__snake_case					)     ,		2_0_0_0					)

					def   lowerCamelCase__   (			self  :      Any					)			->							Union[str, Any]:
											self.assertEqual(self.get_tokenizer().vocab_size     ,		2_0_0_0					)

					def   lowerCamelCase__   (			self  :      List[str]					)			->							List[str]:
											__magic_name__:	List[Any]							=       GPTSwaTokenizer(__snake_case					)

											__magic_name__:	str							=       tokenizer.tokenize("""This is a test"""					)
											self.assertListEqual(__snake_case     ,		["""▁This""", """▁is""", """▁a""", """▁t""", """est"""]					)

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

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

											__magic_name__:	List[Any]							=       tokenizer.convert_tokens_to_ids(__snake_case					)
											self.assertListEqual(
											    __snake_case     ,		[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]     ,		)

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

					def   lowerCamelCase__   (			self  :      Tuple					)			->							Union[str, Any]:
											__magic_name__:	Tuple							=       GPTSwaTokenizer(__snake_case					)
											__magic_name__:	Any							=       ["""This is a test""", """I was born in 92000, and this is falsé."""]
											__magic_name__:	Dict							=       [
											    [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(__snake_case     ,		__snake_case					):
																	self.assertListEqual(tokenizer.encode_fast(__snake_case					)     ,		__snake_case					)

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






					@slow
					def   lowerCamelCase__   (			self  :      List[str]					)			->							Optional[Any]:
											__magic_name__:	Tuple							=       [
											    """<|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
											__magic_name__:	str							=       {"""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=__snake_case     ,		model_name="""AI-Sweden/gpt-sw3-126m"""     ,		sequences=__snake_case     ,		)









'''simple docstring'''
def 			lowerCamelCase(							SCREAMING_SNAKE_CASE_       ,SCREAMING_SNAKE_CASE_     )		->		tuple[float, float]:

			# Check if the input is valid
			if not len(SCREAMING_SNAKE_CASE_     ) == len(SCREAMING_SNAKE_CASE_     ) == 3:
						raise ValueError('Please enter a valid equation.'     )
			if equationa[0] == equationa[1] == equationa[0] == equationa[1] == 0:
						raise ValueError('Both a & b of two equations can\'t be zero.'     )

			# Extract the coefficients
			A_		, A_		, A_									= equationa
			A_		, A_		, A_									= equationa

			# Calculate the determinants of the matrices
			A_									= aa * ba - aa * ba
			A_									= ca * ba - ca * ba
			A_									= aa * ca - aa * ca

			# Check if the system of linear equations has a solution (using Cramer's rule)
			if determinant == 0:
						if determinant_x == determinant_y == 0:
									raise ValueError('Infinite solutions. (Consistent system)'     )
						else:
									raise ValueError('No solution. (Inconsistent system)'     )
			else:
						if determinant_x == determinant_y == 0:
									# Trivial solution (Inconsistent system)
									return (0.0, 0.0)
						else:
									A_									= determinant_x / determinant
									A_									= determinant_y / determinant
									# Non-Trivial Solution (Consistent system)
									return (x, y)




