






import json
import os
import unittest

from transformers.models.xlm.tokenization_xlm import VOCAB_FILES_NAMES, XLMTokenizer
from transformers.testing_utils import slow

from ...test_tokenization_common import TokenizerTesterMixin
class  _UpperCAmelCase   (			UpperCamelCase__						,unittest.TestCase      ):

				"""simple docstring"""




				lowercase__											=			XLMTokenizer
				lowercase__											=			False




				def 							lowercase__  (	self		:       Any    ):

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

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

								lowercase__  					=     os.path.join(self.tmpdirname,    VOCAB_FILES_NAMES['''vocab_file''']    )
								lowercase__  					=     os.path.join(self.tmpdirname,    VOCAB_FILES_NAMES['''merges_file''']    )
								with open(self.vocab_file,    '''w'''    ) as fp:
												fp.write(json.dumps(lowercase_    )    )
								with open(self.merges_file,    '''w'''    ) as fp:
												fp.write('''\n'''.join(lowercase_    )    )




				def 							lowercase__  (	self		:       Union[str, Any],    lowerCamelCase		:       int    ):

								'''simple docstring'''
								lowercase__  					=     '''lower newer'''
								lowercase__  					=     '''lower newer'''
								return input_text, output_text




				def 							lowercase__  (	self		:       List[str]    ):

								'''simple docstring'''
								lowercase__  					=     XLMTokenizer(self.vocab_file,    self.merges_file    )

								lowercase__  					=     '''lower'''
								lowercase__  					=     ['''low''', '''er</w>''']
								lowercase__  					=     tokenizer.tokenize(lowercase_    )
								self.assertListEqual(lowercase_,    lowercase_    )

								lowercase__  					=     tokens + ['''<unk>''']
								lowercase__  					=     [14, 15, 20]
								self.assertListEqual(tokenizer.convert_tokens_to_ids(lowercase_    ),    lowercase_    )




				@slow
				def 							lowercase__  (	self		:       Any    ):

								'''simple docstring'''
								lowercase__  					=     XLMTokenizer.from_pretrained('''xlm-mlm-en-2048'''    )

								lowercase__  					=     tokenizer.encode('''sequence builders''',    add_special_tokens=lowercase_    )
								lowercase__  					=     tokenizer.encode('''multi-sequence build''',    add_special_tokens=lowercase_    )

								lowercase__  					=     tokenizer.build_inputs_with_special_tokens(lowercase_    )
								lowercase__  					=     tokenizer.build_inputs_with_special_tokens(lowercase_,    lowercase_    )

								assert encoded_sentence == [0] + text + [1]
								assert encoded_pair == [0] + text + [1] + text_a + [1]











'''simple docstring'''

from __future__ import annotations

import math





def 		UpperCamelCase							(				_lowerCamelCase   :   int		,			_lowerCamelCase   :   int		,			_lowerCamelCase   :   bool		,			_lowerCamelCase   :   list[int]		,			_lowerCamelCase   :   float			):

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

    if len(_lowerCamelCase			) == 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		,			_lowerCamelCase		,			_lowerCamelCase		,			_lowerCamelCase			)		,			minimax(depth + 1		,			node_index * 2 + 1		,			_lowerCamelCase		,			_lowerCamelCase		,			_lowerCamelCase			)		,			)

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





def 		UpperCamelCase							(				):
    A__							=     [90, 23, 6, 33, 21, 65, 1_23, 3_44_23]
    A__							=     math.log(len(_lowerCamelCase			)		,			2			)
    print("Optimal value : "		,			end=""			)
    print(minimax(0		,			0		,			_lowerCamelCase		,			_lowerCamelCase		,			_lowerCamelCase			)			)


if __name__ == "__main__":
  import doctest

  doctest.testmod()
  main()



