

"""simple docstring"""





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


_a							=							logging.get_logger(__name__)

_a							=							{
    'Visual-Attention-Network/van-base': (
        'https://huggingface.co/Visual-Attention-Network/van-base/blob/main/config.json'
    ),
}




class  _lowerCAmelCase  (     lowercase       ):







 """simple docstring"""







 __UpperCAmelCase     : Any       		=     "van"


 def __init__(      self							:      str, UpperCAmelCase__							:      Dict=2_2_4, UpperCAmelCase__							:      Dict=3, UpperCAmelCase__							:      List[Any]=[7, 3, 3, 3], UpperCAmelCase__							:      Optional[Any]=[4, 2, 2, 2], UpperCAmelCase__							:      int=[6_4, 1_2_8, 3_2_0, 5_1_2], UpperCAmelCase__							:      List[Any]=[3, 3, 1_2, 3], UpperCAmelCase__							:      Dict=[8, 8, 4, 4], UpperCAmelCase__							:      List[Any]="gelu", UpperCAmelCase__							:      Optional[Any]=0.02, UpperCAmelCase__							:      Dict=1E-6, UpperCAmelCase__							:      Union[str, Any]=1E-2, UpperCAmelCase__							:      Optional[int]=0.0, UpperCAmelCase__							:      Dict=0.0, **UpperCAmelCase__							:      int, ):
    super().__init__(**UpperCAmelCase__     )
    __lowercase								=						image_size
    __lowercase								=						num_channels
    __lowercase								=						patch_sizes
    __lowercase								=						strides
    __lowercase								=						hidden_sizes
    __lowercase								=						depths
    __lowercase								=						mlp_ratios
    __lowercase								=						hidden_act
    __lowercase								=						initializer_range
    __lowercase								=						layer_norm_eps
    __lowercase								=						layer_scale_init_value
    __lowercase								=						drop_path_rate
    __lowercase								=						dropout_rate







"""simple docstring"""





import re

from filelock import FileLock


try:
   import nltk

   _a							=							True
except (ImportError, ModuleNotFoundError):
   _a							=							False

if NLTK_AVAILABLE:
   with FileLock('.lock') as lock:
      nltk.download('punkt', quiet=True)




def   _A  (  UpperCamelCase_					:	str)     ->						str:
   '''simple docstring'''


   re.sub("<n>",      "",      UpperCamelCase_)  # remove pegasus newline char
   assert NLTK_AVAILABLE, "nltk must be installed to separate newlines between sentences. (pip install nltk)"
   return "\n".join(nltk.sent_tokenize(UpperCamelCase_))




