

_lowerCAmelCase					:			Optional[int]  				=			{
    "A": ".-", "B": "-...", "C": "-.-.", "D": "-..", "E": ".", "F": "..-.", "G": "--.",
    "H": "....", "I": "..", "J": ".---", "K": "-.-", "L": ".-..", "M": "--", "N": "-.",
    "O": "---", "P": ".--.", "Q": "--.-", "R": ".-.", "S": "...", "T": "-", "U": "..-",
    "V": "...-", "W": ".--", "X": "-..-", "Y": "-.--", "Z": "--..", "1": ".----",
    "2": "..---", "3": "...--", "4": "....-", "5": ".....", "6": "-....", "7": "--...",
    "8": "---..", "9": "----.", "0": "-----", "&": ".-...", "@": ".--.-.",
    ":": "---...", ",": "--..--", ".": ".-.-.-", "'": ".----.", "\"": ".-..-.",
    "?": "..--..", "/": "-..-.", "=": "-...-", "+": ".-.-.", "-": "-....-",
    "(": "-.--.", ")": "-.--.-", "!": "-.-.--", " ": "/"
}  # Exclamation mark is not in ITU-R recommendation
# fmt: on
_lowerCAmelCase					:			Dict  				=			{value: key for key, value in MORSE_CODE_DICT.items()}






def        UpperCamelCase_(							_snake_case   :  str	):




			"""simple docstring"""






			return " ".join(MORSE_CODE_DICT[char] for char in message.upper()	)






def        UpperCamelCase_(							_snake_case   :  str	):




			"""simple docstring"""






			return "".join(REVERSE_DICT[char] for char in message.split()	)






def        UpperCamelCase_(							):




			"""simple docstring"""






			__a        ='Morse code here!'
			print(_snake_case	)
			__a        =encrypt(_snake_case	)
			print(_snake_case	)
			__a        =decrypt(_snake_case	)
			print(_snake_case	)


if __name__ == "__main__":
						main()









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






@require_sentencepiece
@require_tokenizers
class 	__magic_name__    (			lowerCAmelCase_  ,    unittest.TestCase      ):
			SCREAMING_SNAKE_CASE							   =						GPTSwaTokenizer
			SCREAMING_SNAKE_CASE							   =						False
			SCREAMING_SNAKE_CASE							   =						True
			SCREAMING_SNAKE_CASE							   =						False





			def 		__magic_name__    (		self					)   -> Dict:




						'''simple docstring'''
						super().setUp()

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

						tokenizer.save_pretrained(self.tmpdirname					)





			def 		__magic_name__    (		self					,  __snake_case					)   -> Tuple:




						'''simple docstring'''
						__a        ='This is a test'
						__a        ='This is a test'
						return input_text, output_text





			def 		__magic_name__    (		self					)   -> Optional[Any]:




						'''simple docstring'''
						__a        ='<s>'
						__a        =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 		__magic_name__    (		self					)   -> Dict:




						'''simple docstring'''
						__a        =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					)					,  2000					)





			def 		__magic_name__    (		self					)   -> Optional[Any]:




						'''simple docstring'''
						self.assertEqual(self.get_tokenizer().vocab_size					,  2000					)





			def 		__magic_name__    (		self					)   -> Any:




						'''simple docstring'''
						__a        =GPTSwaTokenizer(__snake_case					)

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

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

						__a        =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

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

						__a        =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 		__magic_name__    (		self					)   -> Optional[int]:




						'''simple docstring'''
						__a        =GPTSwaTokenizer(__snake_case					)
						__a        =['This is a test', 'I was born in 92000, and this is falsé.']
						__a        =[
						    [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(__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 		__magic_name__    (		self					)   -> List[str]:




						'''simple docstring'''
						__a        =[
						    '<|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        ={'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=__snake_case					,  model_name='AI-Sweden/gpt-sw3-126m'					,  sequences=__snake_case					,  )






