
"""simple docstring"""


# Lint as: python3
import itertools
import os
import re


_lowercase				 =					re.compile(r'''([A-Z]+)([A-Z][a-z])''')
_lowercase				 =					re.compile(r'''([a-z\d])([A-Z])''')

_lowercase				 =					re.compile(r'''(?<!_)_(?!_)''')
_lowercase				 =					re.compile(r'''(_{2,})''')

_lowercase				 =					r'''^\w+(\.\w+)*$'''

_lowercase				 =					r'''<>:/\|?*'''






def    _snake_case					(		snake_case__ :  Optional[Any]  ):
	A     = _uppercase_uppercase_re.sub(r'\1_\2'						,   snake_case__  )
	A     = _lowercase_uppercase_re.sub(r'\1_\2'						,   snake_case__  )
	return name.lower()






def    _snake_case					(		snake_case__ :  List[Any]  ):
	A     = _single_underscore_re.split(snake_case__  )
	A     = [_multiple_underscores_re.split(snake_case__  ) for n in name]
	return "".join(n.capitalize() for n in itertools.chain.from_iterable(snake_case__  ) if n != ''  )






def    _snake_case					(		snake_case__ :  int  ):
	if os.path.basename(snake_case__  ) != name:
		raise ValueError(F'Should be a dataset name, not a path: {name}'  )
	return camelcase_to_snakecase(snake_case__  )






def    _snake_case					(		snake_case__ :  Tuple						,   snake_case__ :  str  ):
	if os.path.basename(snake_case__  ) != name:
		raise ValueError(F'Should be a dataset name, not a path: {name}'  )
	if not re.match(_split_re						,   snake_case__  ):
		raise ValueError(F'Split name should match \'{_split_re}\'\' but got \'{split}\'.'  )
	return F'{filename_prefix_for_name(snake_case__  )}-{split}'






def    _snake_case					(		snake_case__ :  List[Any]						,   snake_case__ :  Optional[int]						,   snake_case__ :  Optional[int]						,   snake_case__ :  List[Any]=None  ):
	A     = filename_prefix_for_split(snake_case__						,   snake_case__  )
	if filetype_suffix:
		prefix += F'.{filetype_suffix}'
	A     = os.path.join(snake_case__						,   snake_case__  )
	return F'{filepath}*'






def    _snake_case					(		snake_case__ :  str						,   snake_case__ :  List[str]						,   snake_case__ :  Tuple						,   snake_case__ :  str=None						,   snake_case__ :  Union[str, Any]=None  ):
	A     = filename_prefix_for_split(snake_case__						,   snake_case__  )
	A     = os.path.join(snake_case__						,   snake_case__  )

	if shard_lengths:
		A     = len(snake_case__  )
		A     = [F'{prefix}-{shard_id:05d}-of-{num_shards:05d}' for shard_id in range(snake_case__  )]
		if filetype_suffix:
			A     = [filename + F'.{filetype_suffix}' for filename in filenames]
		return filenames
	else:
		A     = prefix
		if filetype_suffix:
			filename += F'.{filetype_suffix}'
		return [filename]
from ...configuration_utils import PretrainedConfig
from ...utils import logging


_lowercase:	List[Any]       			=		logging.get_logger(__name__)

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



class        lowerCamelCase__				(   UpperCAmelCase				):
			UpperCamelCase__    							="mgp-str"





			def __init__(       self	:	int  ,  lowercase__	:	List[Any]=[32, 1_28]  ,  lowercase__	:	str=4  ,  lowercase__	:	List[str]=3  ,  lowercase__	:	Tuple=27  ,  lowercase__	:	Optional[Any]=38  ,  lowercase__	:	Optional[Any]=5_02_57  ,  lowercase__	:	Dict=3_05_22  ,  lowercase__	:	Dict=7_68  ,  lowercase__	:	Tuple=12  ,  lowercase__	:	int=12  ,  lowercase__	:	int=4.0  ,  lowercase__	:	Tuple=True  ,  lowercase__	:	List[Any]=False  ,  lowercase__	:	int=1e-5  ,  lowercase__	:	int=0.0  ,  lowercase__	:	Optional[Any]=0.0  ,  lowercase__	:	List[Any]=0.0  ,  lowercase__	:	Union[str, Any]=False  ,  lowercase__	:	str=0.0_2  ,  **lowercase__	:	Optional[int]  ,  ):
										super().__init__(**lowercase__						)

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






