from ...configuration_utils import PretrainedConfig
from ...utils import logging


_lowerCamelCase					:   Union[str, Any]							=		logging.get_logger(__name__)

_lowerCamelCase					:   str							=		{
    '''alibaba-damo/mgp-str-base''': '''https://huggingface.co/alibaba-damo/mgp-str-base/resolve/main/config.json''',
}


class 						lowercase    (     a     ):
							lowercase__						:       Any								=							"""mgp-str"""




							def __init__(						self   :					int	,							_UpperCamelCase   :					Optional[Any]=[32, 128]	,							_UpperCamelCase   :					Optional[Any]=4	,							_UpperCamelCase   :					Union[str, Any]=3	,							_UpperCamelCase   :					Optional[int]=27	,							_UpperCamelCase   :					int=38	,							_UpperCamelCase   :					str=50_257	,							_UpperCamelCase   :					Optional[int]=30_522	,							_UpperCamelCase   :					Any=768	,							_UpperCamelCase   :					Union[str, Any]=12	,							_UpperCamelCase   :					Optional[Any]=12	,							_UpperCamelCase   :					Dict=4.0	,							_UpperCamelCase   :					str=True	,							_UpperCamelCase   :					Optional[int]=False	,							_UpperCamelCase   :					str=1e-5	,							_UpperCamelCase   :					int=0.0	,							_UpperCamelCase   :					Optional[int]=0.0	,							_UpperCamelCase   :					List[Any]=0.0	,							_UpperCamelCase   :					int=False	,							_UpperCamelCase   :					Optional[Any]=0.0_2	,							**_UpperCamelCase   :					Union[str, Any]	,							)					->				Union[str, Any]:



												'''simple docstring'''

												super().__init__(**_UpperCamelCase      )

												SCREAMING_SNAKE_CASE    			=       image_size
												SCREAMING_SNAKE_CASE    			=       patch_size
												SCREAMING_SNAKE_CASE    			=       num_channels
												SCREAMING_SNAKE_CASE    			=       max_token_length
												SCREAMING_SNAKE_CASE    			=       num_character_labels
												SCREAMING_SNAKE_CASE    			=       num_bpe_labels
												SCREAMING_SNAKE_CASE    			=       num_wordpiece_labels
												SCREAMING_SNAKE_CASE    			=       hidden_size
												SCREAMING_SNAKE_CASE    			=       num_hidden_layers
												SCREAMING_SNAKE_CASE    			=       num_attention_heads
												SCREAMING_SNAKE_CASE    			=       mlp_ratio
												SCREAMING_SNAKE_CASE    			=       distilled
												SCREAMING_SNAKE_CASE    			=       layer_norm_eps
												SCREAMING_SNAKE_CASE    			=       drop_rate
												SCREAMING_SNAKE_CASE    			=       qkv_bias
												SCREAMING_SNAKE_CASE    			=       attn_drop_rate
												SCREAMING_SNAKE_CASE    			=       drop_path_rate
												SCREAMING_SNAKE_CASE    			=       output_aa_attentions
												SCREAMING_SNAKE_CASE    			=       initializer_range





import os
import tempfile
import unittest

from transformers.models.marian.convert_marian_tatoeba_to_pytorch import DEFAULT_REPO, TatoebaConverter
from transformers.testing_utils import slow
from transformers.utils import cached_property


@unittest.skipUnless(os.path.exists(a     )				,       """Tatoeba directory does not exist."""     )
class 						lowercase    (     unittest.TestCase     ):




							@cached_property
							def 	__snake_case(						self   :					int      )					->				List[Any]:



												'''simple docstring'''

												SCREAMING_SNAKE_CASE    			=       tempfile.mkdtemp()
												return TatoebaConverter(save_dir=_UpperCamelCase      )




							@slow
							def 	__snake_case(						self   :					Tuple      )					->				List[Any]:



												'''simple docstring'''

												self.resolver.convert_models(["heb-eng"]      )





							@slow
							def 	__snake_case(						self   :					Any      )					->				Optional[int]:



												'''simple docstring'''

												SCREAMING_SNAKE_CASE			,   SCREAMING_SNAKE_CASE    			=       self.resolver.write_model_card("opus-mt-he-en"	,							dry_run=_UpperCamelCase      )
												assert mmeta["long_pair"] == "heb-eng"




