



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


SCREAMING_SNAKE_CASE_:List[Any] 			=		get_tests_dir("""fixtures/test_sentencepiece_with_bytefallback.model""")






@require_sentencepiece
@require_tokenizers
class SCREAMING_SNAKE_CASE__	(						_lowercase					,		unittest.TestCase       ):




    '''simple docstring'''






    __lowerCamelCase     :					Union[str, Any]   = GPTSwaTokenizer
    __lowerCamelCase     :					Dict   = False
    __lowerCamelCase     :					Tuple   = True
    __lowerCamelCase     :					Union[str, Any]   = False






    def      _lowerCAmelCase   (			self						):
        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,						lowerCamelCase__						):
        A					:			Optional[Any]		=  """This is a test"""
        A					:			str		=  """This is a test"""
        return input_text, output_text






    def      _lowerCAmelCase   (			self						):
        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						):
        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						):
        self.assertEqual(self.get_tokenizer().vocab_size,						2000						)






    def      _lowerCAmelCase   (			self						):
        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						):
        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						):
        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,						)





from collections.abc import Sequence
def 							__SCREAMING_SNAKE_CASE     (   a__    :   Sequence[float]			,a__    :   float       )					->				float:
	return sum(c * (x**i) for i, c in enumerate(a__       )       )
def 							__SCREAMING_SNAKE_CASE     (   a__    :   Sequence[float]			,a__    :   float       )					->				float:
	__A :			Any		    =			0.0
	for coeff in reversed(a__       ):
		__A :			List[str]		    =			result * x + coeff
	return result


if __name__ == "__main__":
			UpperCAmelCase_							:					List[str]		 =   (0.0, 0.0, 5.0, 9.3, 7.0)
			UpperCAmelCase_							:					str		 =   10.0
			print(evaluate_poly(poly, x))
			print(horner(poly, x))





