





'''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    lowerCAmelCase_		(		unittest.TestCase		):




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

					_lowerCAmelCase				=      (1, 12, 768)  # batch_size, sequence_length, embedding_vector_dim
					_lowerCAmelCase				=      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]]		)

					_lowerCAmelCase				=      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 jax.numpy as jnp

from ...utils import logging
from ..ta.modeling_flax_ta import FlaxTaEncoderModel, FlaxTaForConditionalGeneration, FlaxTaModel
from .configuration_mta import MTaConfig


_SCREAMING_SNAKE_CASE	 =							logging.get_logger(__name__)

_SCREAMING_SNAKE_CASE	 =							"T5Config"


def 	__a(SCREAMING_SNAKE_CASE_  :					jnp.array		,       SCREAMING_SNAKE_CASE_  :					int		,       SCREAMING_SNAKE_CASE_  :					int    ):



    '''simple docstring'''





    _lowerCAmelCase				=      jnp.zeros_like(SCREAMING_SNAKE_CASE_    )
    _lowerCAmelCase				=      shifted_input_ids.at[:, 1:].set(input_ids[:, :-1]    )
    _lowerCAmelCase				=      shifted_input_ids.at[:, 0].set(SCREAMING_SNAKE_CASE_    )

    _lowerCAmelCase				=      jnp.where(shifted_input_ids == -100		,       SCREAMING_SNAKE_CASE_		,       SCREAMING_SNAKE_CASE_    )
    return shifted_input_ids

class    lowerCAmelCase_		(		__magic_name__		):
 __lowerCamelCase						:							List[str]         =					"mt5"
 __lowerCamelCase						:							Any         =					MTaConfig







class    lowerCAmelCase_		(		__magic_name__		):
 __lowerCamelCase						:							List[str]         =					"mt5"
 __lowerCamelCase						:							Dict         =					MTaConfig







class    lowerCAmelCase_		(		__magic_name__		):
 __lowerCamelCase						:							Optional[Any]         =					"mt5"
 __lowerCamelCase						:							str         =					MTaConfig


