


'''simple docstring'''






import unittest

from transformers import AutoTokenizer, is_flax_available
from transformers.testing_utils import require_flax, require_sentencepiece, require_tokenizers, slow


if is_flax_available():
  import jax.numpy as jnp

  from transformers import FlaxXLMRobertaModel






@require_sentencepiece
@require_tokenizers
@require_flax
class   __snake_case			(  unittest.TestCase):







    """simple docstring"""



    @slow
    def __lowercase  (  self       :    Tuple						)  ->    Any:
      lowerCAmelCase_     : List[Any]     =  FlaxXLMRobertaModel.from_pretrained("""xlm-roberta-base"""						)
      lowerCAmelCase_     : str     =  AutoTokenizer.from_pretrained("""xlm-roberta-base"""						)
      lowerCAmelCase_     : Optional[int]     =  """The dog is cute and lives in the garden house"""
      lowerCAmelCase_     : Optional[int]     =  jnp.array([tokenizer.encode(lowerCamelCase						)]						)

      lowerCAmelCase_     : str     =  (1, 12, 7_68)  # batch_size, sequence_length, embedding_vector_dim
      lowerCAmelCase_     : List[str]     =  jnp.array(
          [[-0.0_101, 0.1_218, -0.0_803, 0.0_801, 0.1_327, 0.0_776, -0.1_215, 0.2_383, 0.3_338, 0.3_106, 0.0_300, 0.0_252]]						)

      lowerCAmelCase_     : List[str]     =  model(lowerCamelCase						)["""last_hidden_state"""]
      self.assertEqual(output.shape       ,		lowerCamelCase						)
      # compare the actual values for a slice of last dim
      self.assertTrue(jnp.allclose(output[:, :, -1]       ,		lowerCamelCase       ,		atol=1E-3						)						)







'''simple docstring'''






from __future__ import annotations

import numpy as np







def 							UpperCamelCase_     (       A__   :  np.ndarray   ):
  '''simple docstring'''





  lowerCAmelCase_,				lowerCAmelCase_     : List[str]     =  np.shape(A__   )
  if rows != columns:
    lowerCAmelCase_     : List[str]     =  (
        """'table' has to be of square shaped array but got a """
        f'{rows}x{columns} array:\n{table}'
    )
    raise ValueError(A__   )

  lowerCAmelCase_     : Optional[int]     =  np.zeros((rows, columns)   )
  lowerCAmelCase_     : Tuple     =  np.zeros((rows, columns)   )
  for i in range(A__   ):
    for j in range(A__   ):
      lowerCAmelCase_     : str     =  sum(lower[i][k] * upper[k][j] for k in range(A__   )   )
      if upper[j][j] == 0:
        raise ArithmeticError("""No LU decomposition exists"""   )
      lowerCAmelCase_     : Union[str, Any]     =  (table[i][j] - total) / upper[j][j]
    lowerCAmelCase_     : Dict     =  1
    for j in range(A__				,       A__   ):
      lowerCAmelCase_     : str     =  sum(lower[i][k] * upper[k][j] for k in range(A__   )   )
      lowerCAmelCase_     : List[str]     =  table[i][j] - total
  return lower, upper


if __name__ == "__main__":
  import doctest

  doctest.testmod()



