
import pytest

from datasets.utils.sharding import _distribute_shards, _number_of_shards_in_gen_kwargs, _split_gen_kwargs






@pytest.mark.parametrize(
    'kwargs, expected'       ,					[
        ({'num_shards': 0, 'max_num_jobs': 1}, []),
        ({'num_shards': 10, 'max_num_jobs': 1}, [range(10 )]),
        ({'num_shards': 10, 'max_num_jobs': 10}, [range(__lowercase       ,					i + 1 ) for i in range(10 )]),
        ({'num_shards': 1, 'max_num_jobs': 10}, [range(1 )]),
        ({'num_shards': 10, 'max_num_jobs': 3}, [range(0       ,					4 ), range(4       ,					7 ), range(7       ,					10 )]),
        ({'num_shards': 3, 'max_num_jobs': 10}, [range(0       ,					1 ), range(1       ,					2 ), range(2       ,					3 )]),
    ]       ,					)
def        a_		(       __lowercase   :	Tuple       ,					__lowercase   :	Optional[Any] ) ->  Dict:
			_snake_case		=			_distribute_shards(**__lowercase )
			assert out == expected






@pytest.mark.parametrize(
    'gen_kwargs, max_num_jobs, expected'       ,					[
        ({'foo': 0}, 10, [{'foo': 0}]),
        ({'shards': [0, 1, 2, 3]}, 1, [{'shards': [0, 1, 2, 3]}]),
        ({'shards': [0, 1, 2, 3]}, 4, [{'shards': [0]}, {'shards': [1]}, {'shards': [2]}, {'shards': [3]}]),
        ({'shards': [0, 1]}, 4, [{'shards': [0]}, {'shards': [1]}]),
        ({'shards': [0, 1, 2, 3]}, 2, [{'shards': [0, 1]}, {'shards': [2, 3]}]),
    ]       ,					)
def        a_		(       __lowercase   :	Any       ,					__lowercase   :	Union[str, Any]       ,					__lowercase   :	List[str] ) ->  Any:
			_snake_case		=			_split_gen_kwargs(__lowercase       ,					__lowercase )
			assert out == expected






@pytest.mark.parametrize(
    'gen_kwargs, expected'       ,					[
        ({'foo': 0}, 1),
        ({'shards': [0]}, 1),
        ({'shards': [0, 1, 2, 3]}, 4),
        ({'shards': [0, 1, 2, 3], 'foo': 0}, 4),
        ({'shards': [0, 1, 2, 3], 'other': (0, 1)}, 4),
        ({'shards': [0, 1, 2, 3], 'shards2': [0, 1]}, RuntimeError),
    ]       ,					)
def        a_		(       __lowercase   :	List[Any]       ,					__lowercase   :	Union[str, Any] ) ->  Union[str, Any]:
			if expected is RuntimeError:
						with pytest.raises(__lowercase ):
									_number_of_shards_in_gen_kwargs(__lowercase )
			else:
						_snake_case		=			_number_of_shards_in_gen_kwargs(__lowercase )
						assert out == expected

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    SCREAMING_SNAKE_CASE__     (	unittest.TestCase					):





	'''simple docstring'''



	@slow
	def  A							(  self	:    int	):


				'''simple docstring'''


				_snake_case		=			FlaxXLMRobertaModel.from_pretrained('xlm-roberta-base'	)
				_snake_case		=			AutoTokenizer.from_pretrained('xlm-roberta-base'	)
				_snake_case		=			'The dog is cute and lives in the garden house'
				_snake_case		=			jnp.array([tokenizer.encode(lowercase	)]	)

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

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