





'''simple docstring'''






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       		=      get_tests_dir("""fixtures/test_sentencepiece_with_bytefallback.model""")
@require_sentencepiece
@require_tokenizers
class 		lowerCamelCase  (      _A      ,   unittest.TestCase       ):
	snake_case_      =   GPTSwaTokenizer
	snake_case_      =   False
	snake_case_      =   True
	snake_case_      =   False



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

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

			tokenizer.save_pretrained(self.tmpdirname	)



	def   _lowerCamelCase    (   self		,      a_	):
			lowerCAmelCase     :    int						=   "This is a test"
			lowerCAmelCase     :    Tuple						=   "This is a test"
			return input_text, output_text



	def   _lowerCamelCase    (   self	):
			lowerCAmelCase     :    Any						=   "<s>"
			lowerCAmelCase     :    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	):
			lowerCAmelCase     :    Tuple						=   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_	)		,      2_000	)



	def   _lowerCamelCase    (   self	):
			self.assertEqual(self.get_tokenizer().vocab_size		,      2_000	)



	def   _lowerCamelCase    (   self	):
			lowerCAmelCase     :    List[Any]						=   GPTSwaTokenizer(a_	)

			lowerCAmelCase     :    Dict						=   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]	)

			lowerCAmelCase     :    Optional[int]						=   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

			lowerCAmelCase     :    int						=   tokenizer.convert_tokens_to_ids(a_	)
			self.assertListEqual(
			    a_		,      [262, 272, 1_525, 286, 271, 268, 60, 916, 633, 633, 633, 259, 266, 301, 287, 384, 367, 263, 198, 172, 260]		,      )

			lowerCAmelCase     :    Optional[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	):
			lowerCAmelCase     :    Union[str, Any]						=   GPTSwaTokenizer(a_	)
			lowerCAmelCase     :    Any						=   ["This is a test", "I was born in 92000, and this is falsé."]
			lowerCAmelCase     :    Dict						=   [
			    [465, 287, 265, 631, 842],
			    [262, 272, 1_525, 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	):
			lowerCAmelCase     :    Tuple						=   [
			    "<|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
			lowerCAmelCase     :    List[str]						=   {"input_ids": [[63_423, 5, 6_811, 14_954, 282, 816, 3_821, 63_466, 63_425, 63_462, 18, 63_978, 678, 301, 1_320, 63_423, 63_455, 63_458, 18, 63_982, 4_246, 3_940, 1_901, 47_789, 5_547, 18_994], [19_630, 1_100, 63_446, 1_342, 633, 544, 4_488, 593, 5_102, 2_416, 63_495, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1_652, 428, 268, 1_936, 515, 268, 58_593, 22_413, 9_106, 546, 268, 33_213, 63_979, 698, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [55_130, 63_450, 924, 63_449, 2_249, 4_062, 1_558, 318, 63_504, 21_498, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [509, 377, 2_827, 2_559, 332, 6_575, 63_443, 26_801, 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_		,      )










'''simple docstring'''






import numpy as np






def      __A						(							a_						:  np.array	):
		return (2 / (1 + np.exp(-2 * vector	))) - 1


if __name__ == "__main__":
					import doctest

					doctest.testmod()



