


'''simple docstring'''
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   lowercase      (				A__      ,						unittest.TestCase   ):

		"""simple docstring"""

		_a       					=							BioGptTokenizer
		_a       					=							False




		def        lowerCAmelCase__							(						self				):

							'''simple docstring'''


							super().setUp()

							# Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
							UpperCamelCase__  :Union[str, Any]				   =					[
							    '''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>''',
							]
							UpperCamelCase__  :Union[str, Any]				   =					dict(zip(UpperCamelCase_       ,  range(len(UpperCamelCase_				)				)				)				)
							UpperCamelCase__  :Optional[int]				   =					['''l o 123''', '''lo w 1456''', '''e r</w> 1789''', '''''']

							UpperCamelCase__  :Optional[int]				   =					os.path.join(self.tmpdirname       ,  VOCAB_FILES_NAMES['''vocab_file''']				)
							UpperCamelCase__  :List[str]				   =					os.path.join(self.tmpdirname       ,  VOCAB_FILES_NAMES['''merges_file''']				)
							with open(self.vocab_file       ,  '''w'''				) as fp:
												fp.write(json.dumps(UpperCamelCase_				)				)
							with open(self.merges_file       ,  '''w'''				) as fp:
												fp.write('''\n'''.join(UpperCamelCase_				)				)




		def        lowerCAmelCase__							(						self       ,  UpperCamelCase_				):

							'''simple docstring'''


							UpperCamelCase__  :List[str]				   =					'''lower newer'''
							UpperCamelCase__  :List[str]				   =					'''lower newer'''
							return input_text, output_text




		def        lowerCAmelCase__							(						self				):

							'''simple docstring'''


							UpperCamelCase__  :List[str]				   =					BioGptTokenizer(self.vocab_file       ,  self.merges_file				)

							UpperCamelCase__  :str				   =					'''lower'''
							UpperCamelCase__  :Optional[Any]				   =					['''low''', '''er</w>''']
							UpperCamelCase__  :Union[str, Any]				   =					tokenizer.tokenize(UpperCamelCase_				)
							self.assertListEqual(UpperCamelCase_       ,  UpperCamelCase_				)

							UpperCamelCase__  :Tuple				   =					tokens + ['''<unk>''']
							UpperCamelCase__  :Any				   =					[14, 15, 20]
							self.assertListEqual(tokenizer.convert_tokens_to_ids(UpperCamelCase_				)       ,  UpperCamelCase_				)




		@slow
		def        lowerCAmelCase__							(						self				):

							'''simple docstring'''


							UpperCamelCase__  :Tuple				   =					BioGptTokenizer.from_pretrained('''microsoft/biogpt'''				)

							UpperCamelCase__  :Optional[int]				   =					tokenizer.encode('''sequence builders'''       ,  add_special_tokens=UpperCamelCase_				)
							UpperCamelCase__  :Optional[Any]				   =					tokenizer.encode('''multi-sequence build'''       ,  add_special_tokens=UpperCamelCase_				)

							UpperCamelCase__  :int				   =					tokenizer.build_inputs_with_special_tokens(UpperCamelCase_				)
							UpperCamelCase__  :List[Any]				   =					tokenizer.build_inputs_with_special_tokens(UpperCamelCase_       ,  UpperCamelCase_				)

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



'''simple docstring'''
from __future__ import annotations

import math


def      a (     __a					,   __a					,   __a					,   __a					,   __a  )    ->      int:



					'''simple docstring'''






					if depth < 0:
										raise ValueError('''Depth cannot be less than 0'''  )

					if len(__a  ) == 0:
										raise ValueError('''Scores cannot be empty'''  )

					if depth == height:
										return scores[node_index]

					if is_max:
										return max(
										    minimax(depth + 1					,   node_index * 2					,   __a					,   __a					,   __a  )					,   minimax(depth + 1					,   node_index * 2 + 1					,   __a					,   __a					,   __a  )					,   )

					return min(
					    minimax(depth + 1					,   node_index * 2					,   __a					,   __a					,   __a  )					,   minimax(depth + 1					,   node_index * 2 + 1					,   __a					,   __a					,   __a  )					,   )


def      a (     )    ->      None:



					'''simple docstring'''






					UpperCamelCase__  :str				   =					[90, 23, 6, 33, 21, 65, 123, 34423]
					UpperCamelCase__  :List[Any]				   =					math.log(len(__a  )					,   2  )
					print('''Optimal value : '''					,   end=''''''  )
					print(minimax(0					,   0					,   __a					,   __a					,   __a  )  )


if __name__ == "__main__":
		import doctest

		doctest.testmod()
		main()