



"""simple docstring"""


import math
import sys

def  _lowerCAmelCase      (   lowercase_						):
						if number != int(lowercase_						):
												raise ValueError('the value of input must be a natural number'						)
						if number < 0:
												raise ValueError('the value of input must not be a negative number'						)
						if number == 0:
												return 1
						UpperCAmelCase             = [-1] * (number + 1)
						UpperCAmelCase             = 0
						for i in range(1		,	number + 1						):
												UpperCAmelCase             = sys.maxsize
												UpperCAmelCase             = int(math.sqrt(lowercase_						)						)
												for j in range(1		,	root + 1						):
																		UpperCAmelCase             = 1 + answers[i - (j**2)]
																		UpperCAmelCase             = min(lowercase_		,	lowercase_						)
												UpperCAmelCase             = answer
						return answers[number]


if __name__ == "__main__":
				import doctest

				doctest.testmod()






'''simple docstring'''

from __future__ import annotations

import unittest

from transformers import is_tf_available
from transformers.testing_utils import require_sentencepiece, require_tf, require_tokenizers, slow


if is_tf_available():
  import tensorflow as tf

  from transformers import AutoTokenizer, TFAutoModelForSeqaSeqLM



@require_tf
@require_sentencepiece
@require_tokenizers
class 			UpperCAmelCase  (						unittest.TestCase					):





       '''simple docstring'''



       @slow
       def _lowerCAmelCase(						self )  ->  Dict:
        lowercase__				:    List[str]  =					TFAutoModelForSeqaSeqLM.from_pretrained('''google/mt5-small''' )
        lowercase__				:    Dict  =					AutoTokenizer.from_pretrained('''google/mt5-small''' )

        lowercase__				:    Any  =					tokenizer('''Hello there'''	,   return_tensors='''tf''' ).input_ids
        lowercase__				:    List[Any]  =					tokenizer('''Hi I am'''	,   return_tensors='''tf''' ).input_ids

        lowercase__				:    str  =					model(__lowerCAmelCase	,   labels=__lowerCAmelCase ).loss
        lowercase__				:    List[str]  =					-tf.math.reduce_mean(__lowerCAmelCase ).numpy()

        lowercase__				:    str  =					-2_1.2_2_8_1_6_8
        self.assertTrue(abs(mtf_score - EXPECTED_SCORE ) < 2E-4 )

