


"""simple docstring"""


import numpy as np




def   snake_case		(     UpperCamelCase__       :						Any    )   ->      int:
      return 1 / (1 + np.exp(-vector    ))




def   snake_case		(     UpperCamelCase__       :						Optional[int]    )   ->      Union[str, Any]:
      return vector * sigmoid(lowerCAmelCase_    )


if __name__ == "__main__":
    import doctest

    doctest.testmod()








"""simple docstring"""


import unittest

from transformers import AlbertTokenizer, AlbertTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin


__lowerCamelCase      :str	    =		get_tests_dir('fixtures/spiece.model')


@require_sentencepiece
@require_tokenizers
class 			A__	(						__lowercase ,     unittest.TestCase):


     """simple docstring"""
     snake_case__	:					List[str]													=AlbertTokenizer
     snake_case__	:					Optional[Any]													=AlbertTokenizerFast
     snake_case__	:					Optional[int]													=True
     snake_case__	:					Any													=True
     snake_case__	:					Optional[int]													=True

     def 		a__						(	self:						Dict	)->    Optional[Any]:
           super().setUp()

           # We have a SentencePiece fixture for testing
           lowerCamelCase					:					int        =	AlbertTokenizer(__a	)
           tokenizer.save_pretrained(self.tmpdirname	)

     def 		a__						(	self:						Tuple     ,		__a:						Tuple	)->    Union[str, Any]:
           lowerCamelCase					:					List[str]        =	"""this is a test"""
           lowerCamelCase					:					int        =	"""this is a test"""
           return input_text, output_text

     def 		a__						(	self:						Any	)->    List[Any]:
           lowerCamelCase					:					int        =	"""<pad>"""
           lowerCamelCase					:					Optional[int]        =	0

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

     def 		a__						(	self:						Tuple	)->    str:
           lowerCamelCase					:					Optional[int]        =	list(self.get_tokenizer().get_vocab().keys()	)

           self.assertEqual(vocab_keys[0]     ,		"""<pad>"""	)
           self.assertEqual(vocab_keys[1]     ,		"""<unk>"""	)
           self.assertEqual(vocab_keys[-1]     ,		"""▁eloquent"""	)
           self.assertEqual(len(__a	)     ,		30_000	)

     def 		a__						(	self:						List[str]	)->    Any:
           self.assertEqual(self.get_tokenizer().vocab_size     ,		30_000	)

     def 		a__						(	self:						Optional[Any]	)->    Union[str, Any]:
           if not self.test_rust_tokenizer:
                 return

           lowerCamelCase					:					str        =	self.get_tokenizer()
           lowerCamelCase					:					Tuple        =	self.get_rust_tokenizer()

           lowerCamelCase					:					Union[str, Any]        =	"""I was born in 92000, and this is falsé."""

           lowerCamelCase					:					List[str]        =	tokenizer.tokenize(__a	)
           lowerCamelCase					:					Tuple        =	rust_tokenizer.tokenize(__a	)
           self.assertListEqual(__a     ,		__a	)

           lowerCamelCase					:					Dict        =	tokenizer.encode(__a     ,		add_special_tokens=__a	)
           lowerCamelCase					:					List[str]        =	rust_tokenizer.encode(__a     ,		add_special_tokens=__a	)
           self.assertListEqual(__a     ,		__a	)

           lowerCamelCase					:					Any        =	self.get_rust_tokenizer()
           lowerCamelCase					:					List[str]        =	tokenizer.encode(__a	)
           lowerCamelCase					:					str        =	rust_tokenizer.encode(__a	)
           self.assertListEqual(__a     ,		__a	)

     def 		a__						(	self:						Tuple	)->    List[Any]:
           lowerCamelCase					:					List[str]        =	AlbertTokenizer(__a     ,		keep_accents=__a	)

           lowerCamelCase					:					int        =	tokenizer.tokenize("""This is a test"""	)
           self.assertListEqual(__a     ,		["""▁this""", """▁is""", """▁a""", """▁test"""]	)

           self.assertListEqual(tokenizer.convert_tokens_to_ids(__a	)     ,		[48, 25, 21, 1_289]	)

           lowerCamelCase					:					List[str]        =	tokenizer.tokenize("""I was born in 92000, and this is falsé."""	)
           self.assertListEqual(
               __a     ,		["""▁i""", """▁was""", """▁born""", """▁in""", """▁9""", """2000""", """,""", """▁and""", """▁this""", """▁is""", """▁fal""", """s""", """é""", """."""]	)
           lowerCamelCase					:					List[str]        =	tokenizer.convert_tokens_to_ids(__a	)
           self.assertListEqual(__a     ,		[31, 23, 386, 19, 561, 3_050, 15, 17, 48, 25, 8_256, 18, 1, 9]	)

           lowerCamelCase					:					Tuple        =	tokenizer.convert_ids_to_tokens(__a	)
           self.assertListEqual(
               __a     ,		["""▁i""", """▁was""", """▁born""", """▁in""", """▁9""", """2000""", """,""", """▁and""", """▁this""", """▁is""", """▁fal""", """s""", """<unk>""", """."""]     ,		)

     def 		a__						(	self:						Tuple	)->    str:
           lowerCamelCase					:					str        =	AlbertTokenizer(__a	)

           lowerCamelCase					:					Union[str, Any]        =	tokenizer.encode("""sequence builders"""	)
           lowerCamelCase					:					List[Any]        =	tokenizer.encode("""multi-sequence build"""	)

           lowerCamelCase					:					Any        =	tokenizer.build_inputs_with_special_tokens(__a	)
           lowerCamelCase					:					str        =	tokenizer.build_inputs_with_special_tokens(__a     ,		__a	)

           assert encoded_sentence == [tokenizer.cls_token_id] + text + [tokenizer.sep_token_id]
           assert encoded_pair == [tokenizer.cls_token_id] + text + [tokenizer.sep_token_id] + text_a + [
               tokenizer.sep_token_id
           ]







     @slow
     def 		a__						(	self:						Any	)->    Dict:
           # fmt: off
           lowerCamelCase					:					Optional[Any]        =	{"""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, 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], [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, 0, 0, 0, 0, 0]], """input_ids""": [[2, 21_970, 13, 5, 6_092, 167, 28, 7_103, 2_153, 673, 8, 7_028, 12_051, 18, 17, 7_103, 2_153, 673, 8, 3_515, 18_684, 8, 4_461, 6, 1_927, 297, 8, 12_060, 2_607, 18, 13, 5, 4_461, 15, 10_538, 38, 8, 135, 15, 822, 58, 15, 993, 10_363, 15, 1_460, 8_005, 4_461, 15, 993, 255, 2_328, 9, 9, 9, 6, 26, 1_112, 816, 3_260, 13, 5, 103, 2_377, 6, 17, 1_112, 816, 2_782, 13, 5, 103, 10_641, 6, 29, 84, 2_512, 2_430, 782, 18_684, 2_761, 19, 808, 2_430, 2_556, 17, 855, 1_480, 9_477, 4_091, 128, 11_712, 15, 7_103, 2_153, 673, 17, 24_883, 9_990, 9, 3], [2, 11_502, 25, 1_006, 20, 782, 8, 11_809, 855, 1_732, 19_393, 18_667, 37, 367, 21_018, 69, 1_854, 34, 11_860, 19_124, 27, 156, 225, 17, 193, 4_141, 19, 65, 9_124, 9, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [2, 14, 2_231, 886, 2_385, 17_659, 84, 14, 16_792, 1_952, 9, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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=__a     ,		model_name="""albert-base-v2"""     ,		revision="""6b6560eaf5ff2e250b00c50f380c5389a9c2d82e"""     ,		)




