

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_							:					List[Any]		 =   get_tests_dir('''fixtures/test_sentencepiece_with_bytefallback.model''')






@require_sentencepiece
@require_tokenizers
class      lowerCamelCase_      (	_lowercase						,      unittest.TestCase	):
	_lowercase		:   Union[str, Any]     					=				GPTSwaTokenizer
	_lowercase		:   Dict     					=				False
	_lowercase		:   Tuple     					=				True
	_lowercase		:   Union[str, Any]     					=				False




	def        lowerCAmelCase_       (     self						:     int							):
		super().setUp()

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

		tokenizer.save_pretrained(self.tmpdirname							)




	def        lowerCAmelCase_       (     self						:     Tuple					,      __A						:     int							):
		__A :			Optional[Any]		    =			"""This is a test"""
		__A :			str		    =			"""This is a test"""
		return input_text, output_text




	def        lowerCAmelCase_       (     self						:     Optional[int]							):
		__A :			List[str]		    =			"""<s>"""
		__A :			List[Any]		    =			1

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




	def        lowerCAmelCase_       (     self						:     str							):
		__A :			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(__A							)					,      2000							)




	def        lowerCAmelCase_       (     self						:     Dict							):
		self.assertEqual(self.get_tokenizer().vocab_size					,      2000							)




	def        lowerCAmelCase_       (     self						:     List[Any]							):
		__A :			Optional[int]		    =			GPTSwaTokenizer(__A							)

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

		self.assertListEqual(tokenizer.convert_tokens_to_ids(__A							)					,      [465, 287, 265, 631, 842]							)

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

		__A :			Optional[int]		    =			tokenizer.convert_tokens_to_ids(__A							)
		self.assertListEqual(
		    __A					,      [262, 272, 1525, 286, 271, 268, 60, 916, 633, 633, 633, 259, 266, 301, 287, 384, 367, 263, 198, 172, 260]					,      )

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




	def        lowerCAmelCase_       (     self						:     List[Any]							):
		__A :			Union[str, Any]		    =			GPTSwaTokenizer(__A							)
		__A :			Optional[int]		    =			["""This is a test""", """I was born in 92000, and this is falsé."""]
		__A :			Tuple		    =			[
		    [465, 287, 265, 631, 842],
		    [262, 272, 1525, 286, 271, 268, 60, 916, 633, 633, 633, 259, 266, 301, 287, 384, 367, 263, 198, 172, 260],
		]

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

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




	@slow
	def        lowerCAmelCase_       (     self						:     Tuple							):
		__A :			Any		    =			[
		    """<|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 :			Any		    =			{"""input_ids""": [[6_3423, 5, 6811, 1_4954, 282, 816, 3821, 6_3466, 6_3425, 6_3462, 18, 6_3978, 678, 301, 1320, 6_3423, 6_3455, 6_3458, 18, 6_3982, 4246, 3940, 1901, 4_7789, 5547, 1_8994], [1_9630, 1100, 6_3446, 1342, 633, 544, 4488, 593, 5102, 2416, 6_3495, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1652, 428, 268, 1936, 515, 268, 5_8593, 2_2413, 9106, 546, 268, 3_3213, 6_3979, 698, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [5_5130, 6_3450, 924, 6_3449, 2249, 4062, 1558, 318, 6_3504, 2_1498, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [509, 377, 2827, 2559, 332, 6575, 6_3443, 2_6801, 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=__A					,      model_name="""AI-Sweden/gpt-sw3-126m"""					,      sequences=__A					,      )








UpperCAmelCase_							:					dict[str, float]		 =   {
    "joule": 1.0,
    "kilojoule": 1_000,
    "megajoule": 1_000_000,
    "gigajoule": 1_000_000_000,
    "wattsecond": 1.0,
    "watthour": 3_600,
    "kilowatthour": 3_600_000,
    "newtonmeter": 1.0,
    "calorie_nutr": 4_186.8,
    "kilocalorie_nutr": 4_186_800.00,
    "electronvolt": 1.6_0217_6634e-19,
    "britishthermalunit_it": 1_055.05_585,
    "footpound": 1.35_5818,
}
def 							__SCREAMING_SNAKE_CASE     (   a__    :   str			,a__    :   str			,a__    :   float       )					->				float:
	if to_type not in ENERGY_CONVERSION or from_type not in ENERGY_CONVERSION:
		__A :			Optional[int]		    =			(
		    f"""Incorrect 'from_type' or 'to_type' value: {from_type!r}, {to_type!r}\n"""
		    f"""Valid values are: {", ".join(a__       )}"""
		)
		raise ValueError(a__       )
	return value * ENERGY_CONVERSION[from_type] / ENERGY_CONVERSION[to_type]


if __name__ == "__main__":
			import doctest

			doctest.testmod()





