






"""simple docstring"""







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


_UpperCamelCase     			=  logging.get_logger(__name__)

_UpperCamelCase     			=  {
    """apple/mobilevitv2-1.0""": """https://huggingface.co/apple/mobilevitv2-1.0/resolve/main/config.json""",
}







class 					lowerCamelCase__					(       snake_case ):
    SCREAMING_SNAKE_CASE		=			'''mobilevitv2'''






    def __init__( self	,A=3	,A=256	,A=2	,A=2.0	,A="swish"	,A=3	,A=32	,A=0.1	,A=0.02	,A=1e-5	,A=512	,A=[6, 12, 18]	,A=0.1	,A=255	,A=[2, 4, 3]	,A=[128, 192, 256]	,A=1.0	,A=2	,A=0.0	,A=0.0	,**A	,):
          super().__init__(**A					)

          UpperCAmelCase							=       num_channels
          UpperCAmelCase							=       image_size
          UpperCAmelCase							=       patch_size
          UpperCAmelCase							=       expand_ratio
          UpperCAmelCase							=       hidden_act
          UpperCAmelCase							=       conv_kernel_size
          UpperCAmelCase							=       output_stride
          UpperCAmelCase							=       initializer_range
          UpperCAmelCase							=       layer_norm_eps
          UpperCAmelCase							=       n_attn_blocks
          UpperCAmelCase							=       base_attn_unit_dims
          UpperCAmelCase							=       width_multiplier
          UpperCAmelCase							=       ffn_multiplier
          UpperCAmelCase							=       ffn_dropout
          UpperCAmelCase							=       attn_dropout
          UpperCAmelCase							=       classifier_dropout_prob

          # decode head attributes for semantic segmentation
          UpperCAmelCase							=       aspp_out_channels
          UpperCAmelCase							=       atrous_rates
          UpperCAmelCase							=       aspp_dropout_prob
          UpperCAmelCase							=       semantic_loss_ignore_index







class 					lowerCamelCase__					(       snake_case ):
    SCREAMING_SNAKE_CASE		=			version.parse('''1.11''' )






    @property
    def 				_UpperCamelCase							( self					):
          return OrderedDict([("""pixel_values""", {0: """batch""", 1: """num_channels""", 2: """height""", 3: """width"""})]					)






    @property
    def 				_UpperCamelCase							( self					):
          if self.task == "image-classification":
                return OrderedDict([("""logits""", {0: """batch"""})]					)
          else:
                return OrderedDict([("""last_hidden_state""", {0: """batch"""}), ("""pooler_output""", {0: """batch"""})]					)






    @property
    def 				_UpperCamelCase							( self					):
          return 1e-4











"""simple docstring"""







import sys

def _a (		_snake_case      ,       _snake_case							):







      """simple docstring"""






      if not numbers:
            return 0
      if target == 0 and target in numbers:
            return 0
      if not isinstance(_snake_case      ,       (list, tuple)							) or not all(
          isinstance(_snake_case      ,       _snake_case							) for number in numbers							):
            raise ValueError("""numbers must be an iterable of integers"""							)

      UpperCAmelCase							=       UpperCAmelCase							=       UpperCAmelCase							=       0
      UpperCAmelCase							=       sys.maxsize

      while right < len(_snake_case							):
            curr_sum += numbers[right]
            while curr_sum >= target and left <= right:
                  UpperCAmelCase							=       min(_snake_case      ,       right - left + 1							)
                  curr_sum -= numbers[left]
                  left += 1
            right += 1

      return 0 if min_len == sys.maxsize else min_len



