

from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ...utils.backbone_utils import BackboneConfigMixin, get_aligned_output_features_output_indices


snake_case_			  = logging.get_logger(__name__)

snake_case_			  = {
    '''microsoft/focalnet-tiny''': '''https://huggingface.co/microsoft/focalnet-tiny/resolve/main/config.json''',
}


class       SCREAMING_SNAKE_CASE__					(__snake_case		,       __snake_case     ):
    __lowerCamelCase						:       str														=     """focalnet"""





    def __init__(      self						,   a=224						,   a=4						,   a=3						,   a=96						,   a=False						,   a=[192, 384, 768, 768]						,   a=[2, 2, 6, 2]						,   a=[2, 2, 2, 2]						,   a=[3, 3, 3, 3]						,   a="gelu"						,   a=4.0						,   a=0.0						,   a=0.1						,   a=False						,   a=1e-4						,   a=False						,   a=False						,   a=False						,   a=0.02						,   a=1e-5						,   a=32						,   a=None						,   a=None						,   **a						,   ):
         super().__init__(**a)

         lowercase__    :   Optional[int]      =       image_size
         lowercase__    :   Union[str, Any]      =       patch_size
         lowercase__    :   List[str]      =       num_channels
         lowercase__    :   List[str]      =       embed_dim
         lowercase__    :   Any      =       use_conv_embed
         lowercase__    :   List[Any]      =       hidden_sizes
         lowercase__    :   Tuple      =       depths
         lowercase__    :   List[str]      =       focal_levels
         lowercase__    :   int      =       focal_windows
         lowercase__    :   Optional[int]      =       hidden_act
         lowercase__    :   List[Any]      =       mlp_ratio
         lowercase__    :   str      =       hidden_dropout_prob
         lowercase__    :   Tuple      =       drop_path_rate
         lowercase__    :   Tuple      =       use_layerscale
         lowercase__    :   Union[str, Any]      =       layerscale_value
         lowercase__    :   Dict      =       use_post_layernorm
         lowercase__    :   Tuple      =       use_post_layernorm_in_modulation
         lowercase__    :   Optional[int]      =       normalize_modulator
         lowercase__    :   List[str]      =       initializer_range
         lowercase__    :   str      =       layer_norm_eps
         lowercase__    :   List[Any]      =       encoder_stride
         lowercase__    :   Tuple      =       ['stem'] + [f"""stage{idx}""" for idx in range(1						,   len(self.depths) + 1)]
         lowercase__      , lowercase__    :   str      =       get_aligned_output_features_output_indices(
             out_features=a						,   out_indices=a						,   stage_names=self.stage_names)




# flake8: noqa
# Lint as: python3

from typing import Dict, List, Optional, Type

from .. import config
from ..utils import logging
from .formatting import (
    ArrowFormatter,
    CustomFormatter,
    Formatter,
    PandasFormatter,
    PythonFormatter,
    TensorFormatter,
    format_table,
    query_table,
)
from .np_formatter import NumpyFormatter


snake_case_			  = logging.get_logger(__name__)

snake_case_			  = {}
snake_case_			  = {}
snake_case_			  = {}

def 	snake_case__			(    SCREAMING_SNAKE_CASE_		:    type	,     SCREAMING_SNAKE_CASE_		:    Optional[str]	,     SCREAMING_SNAKE_CASE_		:    Optional[List[str]] = None	,     ):



     '''simple docstring'''





     lowercase__    :   Union[str, Any]      =       aliases if aliases is not None else []
     if format_type in _FORMAT_TYPES:
          logger.warning(
              f"""Overwriting format type '{format_type}' ({_FORMAT_TYPES[format_type].__name__} -> {formatter_cls.__name__})"""			)
     lowercase__    :   Any      =       formatter_cls
     for alias in set(aliases + [format_type]			):
          if alias in _FORMAT_TYPES_ALIASES:
               logger.warning(
                   f"""Overwriting format type alias '{alias}' ({_FORMAT_TYPES_ALIASES[alias]} -> {format_type})"""			)
          lowercase__    :   int      =       format_type

def 	snake_case__			(    SCREAMING_SNAKE_CASE_		:    Exception	,     SCREAMING_SNAKE_CASE_		:    Optional[str]	,     SCREAMING_SNAKE_CASE_		:    Optional[List[str]] = None			):



     '''simple docstring'''





     lowercase__    :   Optional[Any]      =       aliases if aliases is not None else []
     for alias in set(aliases + [format_type]			):
          lowercase__    :   Any      =       unavailable_error


# Here we define all the available formatting functions that can be used by `Dataset.set_format`
_register_formatter(PythonFormatter, None, aliases=['''python'''])
_register_formatter(ArrowFormatter, '''arrow''', aliases=['''pa''', '''pyarrow'''])
_register_formatter(NumpyFormatter, '''numpy''', aliases=['''np'''])
_register_formatter(PandasFormatter, '''pandas''', aliases=['''pd'''])
_register_formatter(CustomFormatter, '''custom''')

if config.TORCH_AVAILABLE:
       from .torch_formatter import TorchFormatter

       _register_formatter(TorchFormatter, '''torch''', aliases=['''pt''', '''pytorch'''])
else:
       snake_case_			  = ValueError('''PyTorch needs to be installed to be able to return PyTorch tensors.''')
       _register_unavailable_formatter(_torch_error, '''torch''', aliases=['''pt''', '''pytorch'''])

if config.TF_AVAILABLE:
       from .tf_formatter import TFFormatter

       _register_formatter(TFFormatter, '''tensorflow''', aliases=['''tf'''])
else:
       snake_case_			  = ValueError('''Tensorflow needs to be installed to be able to return Tensorflow tensors.''')
       _register_unavailable_formatter(_tf_error, '''tensorflow''', aliases=['''tf'''])

if config.JAX_AVAILABLE:
       from .jax_formatter import JaxFormatter

       _register_formatter(JaxFormatter, '''jax''', aliases=[])
else:
       snake_case_			  = ValueError('''JAX needs to be installed to be able to return JAX arrays.''')
       _register_unavailable_formatter(_jax_error, '''jax''', aliases=[])

def 	snake_case__			(    SCREAMING_SNAKE_CASE_		:    Optional[str]			):



     '''simple docstring'''





     if format_type in _FORMAT_TYPES_ALIASES:
          return _FORMAT_TYPES_ALIASES[format_type]
     else:
          return format_type

def 	snake_case__			(    SCREAMING_SNAKE_CASE_		:    Optional[str]	,     **SCREAMING_SNAKE_CASE_		:    Any			):



     '''simple docstring'''





     lowercase__    :   Tuple      =       get_format_type_from_alias(SCREAMING_SNAKE_CASE_			)
     if format_type in _FORMAT_TYPES:
          return _FORMAT_TYPES[format_type](**SCREAMING_SNAKE_CASE_			)
     if format_type in _FORMAT_TYPES_ALIASES_UNAVAILABLE:
          raise _FORMAT_TYPES_ALIASES_UNAVAILABLE[format_type]
     else:
          raise ValueError(
              f"""Return type should be None or selected in {list(type for type in _FORMAT_TYPES.keys() if type != None			)}, but got '{format_type}'"""			)

