



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[str]					=						get_tests_dir("""fixtures/test_sentencepiece_with_bytefallback.model""")






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




    '''simple docstring'''






    __lowerCamelCase      :			Optional[Any] =				GPTSwaTokenizer
    __lowerCamelCase      :			Tuple =				False
    __lowerCamelCase      :			List[str] =				True
    __lowerCamelCase      :			List[Any] =				False






    def       _lowerCAmelCase (	self		):
        super().setUp()

        # We have a SentencePiece fixture for testing
        A			:	Optional[Any]										=       GPTSwaTokenizer(lowerCAmelCase__,		eos_token="""<unk>""",		bos_token="""<unk>""",		pad_token="""<unk>"""		)

        tokenizer.save_pretrained(self.tmpdirname		)






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






    def       _lowerCAmelCase (	self		):
        A			:	Optional[Any]										=       "<s>"
        A			:	List[str]										=       1

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






    def       _lowerCAmelCase (	self		):
        A			:	Optional[int]										=       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__		),		2000		)






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






    def       _lowerCAmelCase (	self		):
        A			:	str										=       GPTSwaTokenizer(lowerCAmelCase__		)

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

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

        A			:	Optional[Any]										=       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			:	List[str]										=       tokenizer.convert_tokens_to_ids(lowerCAmelCase__		)
        self.assertListEqual(
            lowerCAmelCase__,		[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(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       _lowerCAmelCase (	self		):
        A			:	Optional[int]										=       GPTSwaTokenizer(lowerCAmelCase__		)
        A			:	int										=       ["This is a test", "I was born in 92000, and this is falsé."]
        A			:	int										=       [
            [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(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       _lowerCAmelCase (	self		):
        A			:	Optional[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			:	Optional[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=lowerCAmelCase__,		model_name="""AI-Sweden/gpt-sw3-126m""",		sequences=lowerCAmelCase__,		)







from argparse import ArgumentParser

from .env import EnvironmentCommand




def      __UpperCamelCase     (  )	->  Dict:



    """simple docstring"""






    A			:	str										=       ArgumentParser("""Diffusers CLI tool"""				,					usage="""diffusers-cli <command> [<args>]"""		)
    A			:	int										=       parser.add_subparsers(help="""diffusers-cli command helpers"""		)

    # Register commands
    EnvironmentCommand.register_subcommand(_lowerCAmelCase		)

    # Let's go
    A			:	str										=       parser.parse_args()

    if not hasattr(_lowerCAmelCase				,					"""func"""		):
        parser.print_help()
        exit(1		)

    # Run
    A			:	Any										=       args.func(_lowerCAmelCase		)
    service.run()


if __name__ == "__main__":
     main()


