






import json
import os
import unittest

from transformers.models.biogpt.tokenization_biogpt import VOCAB_FILES_NAMES, BioGptTokenizer
from transformers.testing_utils import slow

from ...test_tokenization_common import TokenizerTesterMixin







class 	_UpperCAmelCase  (  __A				,							unittest.TestCase		):




      """simple docstring"""



      A          =    BioGptTokenizer
      A          =    False
      def 			snake_case_      (   self		):



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

          # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
          lowerCAmelCase__   :Tuple      							=				[
              '''l''',
              '''o''',
              '''w''',
              '''e''',
              '''r''',
              '''s''',
              '''t''',
              '''i''',
              '''d''',
              '''n''',
              '''w</w>''',
              '''r</w>''',
              '''t</w>''',
              '''lo''',
              '''low''',
              '''er</w>''',
              '''low</w>''',
              '''lowest</w>''',
              '''newer</w>''',
              '''wider</w>''',
              '''<unk>''',
          ]
          lowerCAmelCase__   :List[Any]      							=				dict(zip(_lowerCAmelCase    ,	range(len(_lowerCAmelCase		)		)		)		)
          lowerCAmelCase__   :int      							=				['''l o 123''', '''lo w 1456''', '''e r</w> 1789''', '''''']

          lowerCAmelCase__   :Union[str, Any]      							=				os.path.join(self.tmpdirname    ,	VOCAB_FILES_NAMES["vocab_file"]		)
          lowerCAmelCase__   :Tuple      							=				os.path.join(self.tmpdirname    ,	VOCAB_FILES_NAMES["merges_file"]		)
          with open(self.vocab_file    ,	"w"		) as fp:
              fp.write(json.dumps(_lowerCAmelCase		)		)
          with open(self.merges_file    ,	"w"		) as fp:
              fp.write("\n".join(_lowerCAmelCase		)		)
      def 			snake_case_      (   self    ,	_lowerCAmelCase		):



          '''simple docstring'''
          lowerCAmelCase__   :Dict      							=				'''lower newer'''
          lowerCAmelCase__   :Optional[int]      							=				'''lower newer'''
          return input_text, output_text
      def 			snake_case_      (   self		):



          '''simple docstring'''
          lowerCAmelCase__   :Any      							=				BioGptTokenizer(self.vocab_file    ,	self.merges_file		)

          lowerCAmelCase__   :str      							=				'''lower'''
          lowerCAmelCase__   :str      							=				['''low''', '''er</w>''']
          lowerCAmelCase__   :List[str]      							=				tokenizer.tokenize(_lowerCAmelCase		)
          self.assertListEqual(_lowerCAmelCase    ,	_lowerCAmelCase		)

          lowerCAmelCase__   :Optional[Any]      							=				tokens + ['''<unk>''']
          lowerCAmelCase__   :Dict      							=				[14, 15, 20]
          self.assertListEqual(tokenizer.convert_tokens_to_ids(_lowerCAmelCase		)    ,	_lowerCAmelCase		)



      @slow
      def 			snake_case_      (   self		):



          '''simple docstring'''
          lowerCAmelCase__   :List[str]      							=				BioGptTokenizer.from_pretrained("microsoft/biogpt"		)

          lowerCAmelCase__   :int      							=				tokenizer.encode("sequence builders"    ,	add_special_tokens=_lowerCAmelCase		)
          lowerCAmelCase__   :List[Any]      							=				tokenizer.encode("multi-sequence build"    ,	add_special_tokens=_lowerCAmelCase		)

          lowerCAmelCase__   :str      							=				tokenizer.build_inputs_with_special_tokens(_lowerCAmelCase		)
          lowerCAmelCase__   :List[str]      							=				tokenizer.build_inputs_with_special_tokens(_lowerCAmelCase    ,	_lowerCAmelCase		)

          self.assertTrue(encoded_sentence == [2] + text		)
          self.assertTrue(encoded_pair == [2] + text + [2] + text_a		)









def 				snake_case__							(							UpperCAmelCase							:  float       ):

    if edge <= 0 or not isinstance(UpperCAmelCase    ,			UpperCAmelCase       ):
        raise ValueError("Length must be a positive."       )
    return 3 * ((2_5 + 1_0 * (5 ** (1 / 2))) ** (1 / 2)) * (edge**2)


def 				snake_case__							(							UpperCAmelCase							:  float       ):

    if edge <= 0 or not isinstance(UpperCAmelCase    ,			UpperCAmelCase       ):
        raise ValueError("Length must be a positive."       )
    return ((1_5 + (7 * (5 ** (1 / 2)))) / 4) * (edge**3)


if __name__ == "__main__":
 import doctest

 doctest.testmod()



