"""simple docstring"""



import unittest

from transformers import BigBirdTokenizer, BigBirdTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, require_torch, slow
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin


SCREAMING_SNAKE_CASE__:str			=	"""▁"""

SCREAMING_SNAKE_CASE__:int			=	get_tests_dir("""fixtures/test_sentencepiece.model""")






@require_sentencepiece
@require_tokenizers
class 				snake_case__     (   A_,		unittest.TestCase   ):
	_snake_case   :			int           =		BigBirdTokenizer
	_snake_case   :			List[str]           =		BigBirdTokenizerFast
	_snake_case   :			Optional[int]           =		True
	_snake_case   :			Any           =		True


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

								__a     				=  self.tokenizer_class(_lowerCamelCase  ,						keep_accents=_lowerCamelCase		)
								tokenizer.save_pretrained(self.tmpdirname		)


	def 		a__ (				self		):
								__a     				=  "<s>"
								__a     				=  1

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


	def 		a__ (				self		):
								__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]  ,						"[MASK]"		)
								self.assertEqual(len(_lowerCamelCase		)  ,						1004		)


	def 		a__ (				self		):
								self.assertEqual(self.get_tokenizer().vocab_size  ,						1000		)


	def 		a__ (				self		):
								if not self.test_rust_tokenizer:
															return

								__a     				=  self.get_tokenizer()
								__a     				=  self.get_rust_tokenizer()

								__a     				=  "I was born in 92000, and this is falsé."

								__a     				=  tokenizer.tokenize(_lowerCamelCase		)
								__a     				=  rust_tokenizer.tokenize(_lowerCamelCase		)
								self.assertListEqual(_lowerCamelCase  ,						_lowerCamelCase		)

								__a     				=  tokenizer.encode(_lowerCamelCase  ,						add_special_tokens=_lowerCamelCase		)
								__a     				=  rust_tokenizer.encode(_lowerCamelCase  ,						add_special_tokens=_lowerCamelCase		)
								self.assertListEqual(_lowerCamelCase  ,						_lowerCamelCase		)

								__a     				=  self.get_rust_tokenizer()
								__a     				=  tokenizer.encode(_lowerCamelCase		)
								__a     				=  rust_tokenizer.encode(_lowerCamelCase		)
								self.assertListEqual(_lowerCamelCase  ,						_lowerCamelCase		)


	def 		a__ (				self		):
								__a     				=  BigBirdTokenizer(_lowerCamelCase  ,						keep_accents=_lowerCamelCase		)

								__a     				=  tokenizer.tokenize("This is a test"		)
								self.assertListEqual(_lowerCamelCase  ,						["▁This", "▁is", "▁a", "▁t", "est"]		)

								self.assertListEqual(
								    tokenizer.convert_tokens_to_ids(_lowerCamelCase		)  ,						[285, 46, 10, 170, 382]  ,						)

								__a     				=  tokenizer.tokenize("I was born in 92000, and this is falsé."		)
								self.assertListEqual(
								    _lowerCamelCase  ,						[
								        SPIECE_UNDERLINE + "I",
								        SPIECE_UNDERLINE + "was",
								        SPIECE_UNDERLINE + "b",
								        "or",
								        "n",
								        SPIECE_UNDERLINE + "in",
								        SPIECE_UNDERLINE + "",
								        "9",
								        "2",
								        "0",
								        "0",
								        "0",
								        ",",
								        SPIECE_UNDERLINE + "and",
								        SPIECE_UNDERLINE + "this",
								        SPIECE_UNDERLINE + "is",
								        SPIECE_UNDERLINE + "f",
								        "al",
								        "s",
								        "é",
								        ".",
								    ]  ,						)
								__a     				=  tokenizer.convert_tokens_to_ids(_lowerCamelCase		)
								self.assertListEqual(
								    _lowerCamelCase  ,						[8, 21, 84, 55, 24, 19, 7, 0, 602, 347, 347, 347, 3, 12, 66, 46, 72, 80, 6, 0, 4]  ,						)

								__a     				=  tokenizer.convert_ids_to_tokens(_lowerCamelCase		)
								self.assertListEqual(
								    _lowerCamelCase  ,						[
								        SPIECE_UNDERLINE + "I",
								        SPIECE_UNDERLINE + "was",
								        SPIECE_UNDERLINE + "b",
								        "or",
								        "n",
								        SPIECE_UNDERLINE + "in",
								        SPIECE_UNDERLINE + "",
								        "<unk>",
								        "2",
								        "0",
								        "0",
								        "0",
								        ",",
								        SPIECE_UNDERLINE + "and",
								        SPIECE_UNDERLINE + "this",
								        SPIECE_UNDERLINE + "is",
								        SPIECE_UNDERLINE + "f",
								        "al",
								        "s",
								        "<unk>",
								        ".",
								    ]  ,						)


	@cached_property
	def 		a__ (				self		):
								return BigBirdTokenizer.from_pretrained("google/bigbird-roberta-base"		)


	@slow
	def 		a__ (				self		):
								__a     				=  "Hello World!"
								__a     				=  [65, 18536, 2260, 101, 66]

								self.assertListEqual(_lowerCamelCase  ,						self.big_tokenizer.encode(_lowerCamelCase		)		)


	@slow
	def 		a__ (				self		):
								__a     				=  (
								    "This is a very long text with a lot of weird characters, such as: . , ~ ? ( ) \" [ ] ! : - . Also we will"
								    " add words that should not exsist and be tokenized to <unk>, such as saoneuhaoesuth"
								)
								# fmt: off
								__a     				=  [65, 871, 419, 358, 946, 991, 2521, 452, 358, 1357, 387, 7751, 3536, 112, 985, 456, 126, 865, 938, 5400, 5734, 458, 1368, 467, 786, 2462, 5246, 1159, 633, 865, 4519, 457, 582, 852, 2557, 427, 916, 508, 405, 34324, 497, 391, 408, 11342, 1244, 385, 100, 938, 985, 456, 574, 362, 12597, 3200, 3129, 1172, 66]  # noqa: E231
								# fmt: on
								self.assertListEqual(_lowerCamelCase  ,						self.big_tokenizer.encode(_lowerCamelCase		)		)


	@require_torch
	@slow
	def 		a__ (				self		):
								import torch

								from transformers import BigBirdConfig, BigBirdModel

								# Build sequence
								__a     				=  list(self.big_tokenizer.get_vocab().keys()		)[:10]
								__a     				=  " ".join(_lowerCamelCase		)
								__a     				=  self.big_tokenizer.encode_plus(_lowerCamelCase  ,						return_tensors="pt"  ,						return_token_type_ids=_lowerCamelCase		)
								__a     				=  self.big_tokenizer.batch_encode_plus(
								    [sequence + " " + sequence]  ,						return_tensors="pt"  ,						return_token_type_ids=_lowerCamelCase		)

								__a     				=  BigBirdConfig(attention_type="original_full"		)
								__a     				=  BigBirdModel(_lowerCamelCase		)

								assert model.get_input_embeddings().weight.shape[0] >= self.big_tokenizer.vocab_size

								with torch.no_grad():
															model(**_lowerCamelCase		)
															model(**_lowerCamelCase		)


	@slow
	def 		a__ (				self		):
								__a     				=  BigBirdTokenizer.from_pretrained("google/bigbird-roberta-base"		)
								__a     				=  tokenizer.decode(tokenizer("Paris is the [MASK]."		).input_ids		)

								self.assertTrue(decoded_text == "[CLS] Paris is the[MASK].[SEP]"		)






	@slow
	def 		a__ (				self		):
								# fmt: off
								__a     				=  {"input_ids": [[65, 39286, 458, 36335, 2001, 456, 13073, 13266, 455, 113, 7746, 1741, 11157, 391, 13073, 13266, 455, 113, 3967, 35412, 113, 4936, 109, 3870, 2377, 113, 30084, 45720, 458, 134, 17496, 112, 503, 11672, 113, 118, 112, 5665, 13347, 38687, 112, 1496, 31389, 112, 3268, 47264, 134, 962, 112, 16377, 8035, 23130, 430, 12169, 15518, 28592, 458, 146, 41697, 109, 391, 12169, 15518, 16689, 458, 146, 41358, 109, 452, 726, 4034, 111, 763, 35412, 5082, 388, 1903, 111, 9051, 391, 2870, 48918, 1900, 1123, 550, 998, 112, 9586, 15985, 455, 391, 410, 22955, 37636, 114, 66], [65, 448, 17496, 419, 3663, 385, 763, 113, 27533, 2870, 3283, 13043, 1639, 24713, 523, 656, 24013, 18550, 2521, 517, 27014, 21244, 420, 1212, 1465, 391, 927, 4833, 388, 578, 11786, 114, 66, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [65, 484, 2169, 7687, 21932, 18146, 726, 363, 17032, 3391, 114, 66, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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, 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, 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, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]}  # noqa: E501
								# fmt: on

								self.tokenizer_integration_test_util(
								    expected_encoding=_lowerCamelCase  ,						model_name="google/bigbird-roberta-base"  ,						revision="215c99f1600e06f83acce68422f2035b2b5c3510"  ,						)

"""simple docstring"""



SCREAMING_SNAKE_CASE__:Any			=	{
    """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
SCREAMING_SNAKE_CASE__:Any			=	{value: key for key, value in MORSE_CODE_DICT.items()}



def 					_lowerCamelCase(					a							):
       return " ".join(MORSE_CODE_DICT[char] for char in message.upper()							)



def 					_lowerCamelCase(					a							):
       return "".join(REVERSE_DICT[char] for char in message.split()							)



def 					_lowerCamelCase(					):
       __a     				=  "Morse code here!"
       print(a							)
       __a     				=  encrypt(a							)
       print(a							)
       __a     				=  decrypt(a							)
       print(a							)


if __name__ == "__main__":
   main()
