'''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 							lowercase						(						unittest.TestCase ):


   @slow
   def __UpperCAmelCase       (   self				:	str)      ->					Tuple:
         lowercase_     =      FlaxXLMRobertaModel.from_pretrained("xlm-roberta-base")
         lowercase_     =      AutoTokenizer.from_pretrained("xlm-roberta-base")
         lowercase_     =      "The dog is cute and lives in the garden house"
         lowercase_     =      jnp.array([tokenizer.encode(__lowerCAmelCase)])

         lowercase_     =      (1, 12, 768)  # batch_size, sequence_length, embedding_vector_dim
         lowercase_     =      jnp.array(
             [[-0.0101, 0.1218, -0.0803, 0.0801, 0.1327, 0.0776, -0.1215, 0.2383, 0.3338, 0.3106, 0.0300, 0.0252]])

         lowercase_     =      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'''

import functools
from typing import Any


def __a (	__lowerCamelCase			:						str ,		__lowerCamelCase			:						list[str]				)	->							bool:
      '''simple docstring'''


      if not isinstance(__lowerCamelCase ,		__lowerCamelCase				) or len(__lowerCamelCase				) == 0:
            raise ValueError("the string should be not empty string"				)

      if not isinstance(__lowerCamelCase ,		__lowerCamelCase				) or not all(
          isinstance(__lowerCamelCase ,		__lowerCamelCase				) and len(__lowerCamelCase				) > 0 for item in words				):
            raise ValueError("the words should be a list of non-empty strings"				)

      # Build trie
      lowercase_     =      {}
      lowercase_     =      "WORD_KEEPER"

      for word in words:
            lowercase_     =      trie
            for c in word:
                  if c not in trie_node:
                        lowercase_     =      {}

                  lowercase_     =      trie_node[c]

            lowercase_     =      True

      lowercase_     =      len(__lowerCamelCase				)

      # Dynamic programming method
      @functools.cache
      def is_breakable(__lowerCamelCase			:						int				) -> bool:
            if index == len_string:
                  return True

            lowercase_     =      trie
            for i in range(__lowerCamelCase ,		__lowerCamelCase				):
                  lowercase_     =      trie_node.get(string[i] ,		__lowerCamelCase				)

                  if trie_node is None:
                        return False

                  if trie_node.get(__lowerCamelCase ,		__lowerCamelCase				) and is_breakable(i + 1				):
                        return True

            return False

      return is_breakable(0				)


if __name__ == "__main__":
       import doctest

       doctest.testmod()






