

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


_UpperCamelCase 			=		get_tests_dir("fixtures/spiece.model")







@require_sentencepiece
@require_tokenizers
class   __lowercase      (_UpperCAmelCase		,   unittest.TestCase ):
 _UpperCamelCase			  =  AlbertTokenizer
 _UpperCamelCase			  =  AlbertTokenizerFast
 _UpperCamelCase			  =  True
 _UpperCamelCase			  =  True
 _UpperCamelCase			  =  True
 def 	UpperCamelCase__  (							self					)					->List[str]:



       '''simple docstring'''





       super().setUp()

       # We have a SentencePiece fixture for testing
       __lowerCAmelCase					:						Dict					=					AlbertTokenizer(A_					)
       tokenizer.save_pretrained(self.tmpdirname					)
 def 	UpperCamelCase__  (							self      ,							A_					)					->Optional[int]:



       '''simple docstring'''





       __lowerCAmelCase					:						Dict					=					'''this is a test'''
       __lowerCAmelCase					:						Union[str, Any]					=					'''this is a test'''
       return input_text, output_text
 def 	UpperCamelCase__  (							self					)					->Union[str, Any]:



       '''simple docstring'''





       __lowerCAmelCase					:						Dict					=					'''<pad>'''
       __lowerCAmelCase					:						Optional[Any]					=					0

       self.assertEqual(self.get_tokenizer()._convert_token_to_id(A_					)      ,							A_					)
       self.assertEqual(self.get_tokenizer()._convert_id_to_token(A_					)      ,							A_					)
 def 	UpperCamelCase__  (							self					)					->Tuple:



       '''simple docstring'''





       __lowerCAmelCase					:						List[Any]					=					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_					)      ,							3_0000					)
 def 	UpperCamelCase__  (							self					)					->List[str]:



       '''simple docstring'''





       self.assertEqual(self.get_tokenizer().vocab_size      ,							3_0000					)
 def 	UpperCamelCase__  (							self					)					->Any:



       '''simple docstring'''





       if not self.test_rust_tokenizer:
             return

       __lowerCAmelCase					:						Tuple					=					self.get_tokenizer()
       __lowerCAmelCase					:						Dict					=					self.get_rust_tokenizer()

       __lowerCAmelCase					:						Tuple					=					'''I was born in 92000, and this is falsé.'''

       __lowerCAmelCase					:						Any					=					tokenizer.tokenize(A_					)
       __lowerCAmelCase					:						Any					=					rust_tokenizer.tokenize(A_					)
       self.assertListEqual(A_      ,							A_					)

       __lowerCAmelCase					:						int					=					tokenizer.encode(A_      ,							add_special_tokens=A_					)
       __lowerCAmelCase					:						int					=					rust_tokenizer.encode(A_      ,							add_special_tokens=A_					)
       self.assertListEqual(A_      ,							A_					)

       __lowerCAmelCase					:						List[str]					=					self.get_rust_tokenizer()
       __lowerCAmelCase					:						Union[str, Any]					=					tokenizer.encode(A_					)
       __lowerCAmelCase					:						Any					=					rust_tokenizer.encode(A_					)
       self.assertListEqual(A_      ,							A_					)
 def 	UpperCamelCase__  (							self					)					->List[Any]:



       '''simple docstring'''





       __lowerCAmelCase					:						Any					=					AlbertTokenizer(A_      ,							keep_accents=A_					)

       __lowerCAmelCase					:						Optional[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, 1289]					)

       __lowerCAmelCase					:						Optional[Any]					=					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[Any]					=					tokenizer.convert_tokens_to_ids(A_					)
       self.assertListEqual(A_      ,							[31, 23, 386, 19, 561, 3050, 15, 17, 48, 25, 8256, 18, 1, 9]					)

       __lowerCAmelCase					:						int					=					tokenizer.convert_ids_to_tokens(A_					)
       self.assertListEqual(
           A_      ,							['''▁i''', '''▁was''', '''▁born''', '''▁in''', '''▁9''', '''2000''', ''',''', '''▁and''', '''▁this''', '''▁is''', '''▁fal''', '''s''', '''<unk>''', '''.''']      ,							)
 def 	UpperCamelCase__  (							self					)					->Optional[Any]:



       '''simple docstring'''





       __lowerCAmelCase					:						Dict					=					AlbertTokenizer(A_					)

       __lowerCAmelCase					:						List[Any]					=					tokenizer.encode('''sequence builders'''					)
       __lowerCAmelCase					:						List[Any]					=					tokenizer.encode('''multi-sequence build'''					)

       __lowerCAmelCase					:						Dict					=					tokenizer.build_inputs_with_special_tokens(A_					)
       __lowerCAmelCase					:						int					=					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 	UpperCamelCase__  (							self					)					->Dict:



       '''simple docstring'''





       __lowerCAmelCase					:						Union[str, 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, 2_1970, 13, 5, 6092, 167, 28, 7103, 2153, 673, 8, 7028, 1_2051, 18, 17, 7103, 2153, 673, 8, 3515, 1_8684, 8, 4461, 6, 1927, 297, 8, 1_2060, 2607, 18, 13, 5, 4461, 15, 1_0538, 38, 8, 135, 15, 822, 58, 15, 993, 1_0363, 15, 1460, 8005, 4461, 15, 993, 255, 2328, 9, 9, 9, 6, 26, 1112, 816, 3260, 13, 5, 103, 2377, 6, 17, 1112, 816, 2782, 13, 5, 103, 1_0641, 6, 29, 84, 2512, 2430, 782, 1_8684, 2761, 19, 808, 2430, 2556, 17, 855, 1480, 9477, 4091, 128, 1_1712, 15, 7103, 2153, 673, 17, 2_4883, 9990, 9, 3], [2, 1_1502, 25, 1006, 20, 782, 8, 1_1809, 855, 1732, 1_9393, 1_8667, 37, 367, 2_1018, 69, 1854, 34, 1_1860, 1_9124, 27, 156, 225, 17, 193, 4141, 19, 65, 9124, 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, 2231, 886, 2385, 1_7659, 84, 14, 1_6792, 1952, 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'''      ,							)





def 		_lowercase (     lowercase__   ,	lowercase__						):

      if density <= 0:
            raise ValueError('''Impossible fluid density'''						)
      if bulk_modulus <= 0:
            raise ValueError('''Impossible bulk modulus'''						)

      return (bulk_modulus / density) ** 0.5


if __name__ == "__main__":
 import doctest

 doctest.testmod()


