
import warnings
from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


_A						      =				logging.get_logger(__name__)

_A						      =				{
    "nvidia/segformer-b0-finetuned-ade-512-512": (
        "https://huggingface.co/nvidia/segformer-b0-finetuned-ade-512-512/resolve/main/config.json"
    ),
    # See all SegFormer models at https://huggingface.co/models?filter=segformer
}







class   lowerCamelCase	(						A_						):
     UpperCAmelCase__       :							List[str]     =	"segformer"





     def __init__(self   :					Tuple       ,					_A   :					List[str]=3       ,					_A   :					str=4       ,					_A   :					str=[2, 2, 2, 2]       ,					_A   :					List[str]=[8, 4, 2, 1]       ,					_A   :					str=[3_2, 6_4, 1_6_0, 2_5_6]       ,					_A   :					int=[7, 3, 3, 3]       ,					_A   :					Optional[Any]=[4, 2, 2, 2]       ,					_A   :					str=[1, 2, 5, 8]       ,					_A   :					Optional[Any]=[4, 4, 4, 4]       ,					_A   :					Any="gelu"       ,					_A   :					Optional[int]=0.0       ,					_A   :					str=0.0       ,					_A   :					Any=0.1       ,					_A   :					List[Any]=0.02       ,					_A   :					str=0.1       ,					_A   :					Optional[int]=1E-6       ,					_A   :					str=2_5_6       ,					_A   :					str=2_5_5       ,					**_A   :					int       ,					)		->		Optional[Any]:
         super().__init__(**_A     )

         if "reshape_last_stage" in kwargs and kwargs["reshape_last_stage"] is False:
             warnings.warn(
                 "Reshape_last_stage is set to False in this config. This argument is deprecated and will soon be"
                 " removed, as the behaviour will default to that of reshape_last_stage = True."       ,					_A       ,					)

         snake_case				  =      num_channels
         snake_case				  =      num_encoder_blocks
         snake_case				  =      depths
         snake_case				  =      sr_ratios
         snake_case				  =      hidden_sizes
         snake_case				  =      patch_sizes
         snake_case				  =      strides
         snake_case				  =      mlp_ratios
         snake_case				  =      num_attention_heads
         snake_case				  =      hidden_act
         snake_case				  =      hidden_dropout_prob
         snake_case				  =      attention_probs_dropout_prob
         snake_case				  =      classifier_dropout_prob
         snake_case				  =      initializer_range
         snake_case				  =      drop_path_rate
         snake_case				  =      layer_norm_eps
         snake_case				  =      decoder_hidden_size
         snake_case				  =      kwargs.get("reshape_last_stage"       ,					_A     )
         snake_case				  =      semantic_loss_ignore_index







class   lowerCamelCase	(						A_						):
     UpperCAmelCase__       :							str     =	version.parse("1.11"						)





     @property
     def 	UpperCAmelCase(self   :					Optional[Any]     )		->		Mapping[str, Mapping[int, str]]:
         return OrderedDict(
             [
                 ("pixel_values", {0: "batch", 1: "num_channels", 2: "height", 3: "width"}),
             ]     )





     @property
     def 	UpperCAmelCase(self   :					Dict     )		->		float:
         return 1E-4





     @property
     def 	UpperCAmelCase(self   :					List[str]     )		->		int:
         return 1_2



def 		lowercase_    (     A__				,	A__	)							->							List[Any]:
    """simple docstring"""

    snake_case				  =      [0 for i in range(r + 1	)]
    # nc0 = 1
    snake_case				  =      1
    for i in range(1				,	n + 1	):
        # to compute current row from previous row.
        snake_case				  =      min(A__				,	A__	)
        while j > 0:
            c[j] += c[j - 1]
            j -= 1
    return c[r]





print(binomial_coefficient(n=10, r=5))

