

from __future__ import annotations

# This is the precision for this function which can be altered.
# It is recommended for users to keep this number greater than or equal to 10.
lowerCAmelCase							:  Optional[int]   	=						10







def 			A_      (    _UpperCAmelCase				,	_UpperCAmelCase				,	_UpperCAmelCase				,	_UpperCAmelCase    ):
						for i in range(_UpperCAmelCase				,	_UpperCAmelCase    ):
												if array[i] == target:
																		return i
						return -1







def 			A_      (    _UpperCAmelCase				,	_UpperCAmelCase    ):
						SCREAMING_SNAKE_CASE_: Optional[int]  		=       0
						SCREAMING_SNAKE_CASE_: str  		=       len(_UpperCAmelCase    )
						while left <= right:
												if right - left < precision:
																		return lin_search(_UpperCAmelCase				,	_UpperCAmelCase				,	_UpperCAmelCase				,	_UpperCAmelCase    )

												SCREAMING_SNAKE_CASE_: List[str]  		=       (left + right) // 3 + 1
												SCREAMING_SNAKE_CASE_: Optional[Any]  		=       2 * (left + right) // 3 + 1

												if array[one_third] == target:
																		return one_third
												elif array[two_third] == target:
																		return two_third

												elif target < array[one_third]:
																		SCREAMING_SNAKE_CASE_: Optional[Any]  		=       one_third - 1
												elif array[two_third] < target:
																		SCREAMING_SNAKE_CASE_: Dict  		=       two_third + 1

												else:
																		SCREAMING_SNAKE_CASE_: List[Any]  		=       one_third + 1
																		SCREAMING_SNAKE_CASE_: Any  		=       two_third - 1
						else:
												return -1







def 			A_      (    _UpperCAmelCase				,	_UpperCAmelCase				,	_UpperCAmelCase				,	_UpperCAmelCase    ):
						if left < right:
												if right - left < precision:
																		return lin_search(_UpperCAmelCase				,	_UpperCAmelCase				,	_UpperCAmelCase				,	_UpperCAmelCase    )
												SCREAMING_SNAKE_CASE_: str  		=       (left + right) // 3 + 1
												SCREAMING_SNAKE_CASE_: int  		=       2 * (left + right) // 3 + 1

												if array[one_third] == target:
																		return one_third
												elif array[two_third] == target:
																		return two_third

												elif target < array[one_third]:
																		return rec_ternary_search(_UpperCAmelCase				,	one_third - 1				,	_UpperCAmelCase				,	_UpperCAmelCase    )
												elif array[two_third] < target:
																		return rec_ternary_search(two_third + 1				,	_UpperCAmelCase				,	_UpperCAmelCase				,	_UpperCAmelCase    )
												else:
																		return rec_ternary_search(one_third + 1				,	two_third - 1				,	_UpperCAmelCase				,	_UpperCAmelCase    )
						else:
												return -1


if __name__ == "__main__":
						import doctest

						doctest.testmod()

						lowerCAmelCase							:  int   	=						input("""Enter numbers separated by comma:\n""").strip()
						lowerCAmelCase							:  Any   	=						[int(item.strip()) for item in user_input.split(""",""")]
						assert collection == sorted(collection), f"List must be ordered.\n{collection}."
						lowerCAmelCase							:  Optional[int]   	=						int(input("""Enter the number to be found in the list:\n""").strip())
						lowerCAmelCase							:  List[Any]   	=						ite_ternary_search(collection, target)
						lowerCAmelCase							:  Dict   	=						rec_ternary_search(0, len(collection) - 1, collection, target)
						if resulta != -1:
												print(f'''Iterative search: {target} found at positions: {resulta}''')
												print(f'''Recursive search: {target} found at positions: {resulta}''')
						else:
												print("""Not found""")








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


_lowerCamelCase					   =logging.get_logger(__name__)

_lowerCamelCase					   ={
    """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 							A__		(	__SCREAMING_SNAKE_CASE):
      _UpperCAmelCase				:    Dict           =			"""segformer"""
      def __init__(      self    ,  __magic_name__=3    ,  __magic_name__=4    ,  __magic_name__=[2, 2, 2, 2]    ,  __magic_name__=[8, 4, 2, 1]    ,  __magic_name__=[3_2, 6_4, 1_6_0, 2_5_6]    ,  __magic_name__=[7, 3, 3, 3]    ,  __magic_name__=[4, 2, 2, 2]    ,  __magic_name__=[1, 2, 5, 8]    ,  __magic_name__=[4, 4, 4, 4]    ,  __magic_name__="gelu"    ,  __magic_name__=0.0    ,  __magic_name__=0.0    ,  __magic_name__=0.1    ,  __magic_name__=0.02    ,  __magic_name__=0.1    ,  __magic_name__=1e-6    ,  __magic_name__=2_5_6    ,  __magic_name__=2_5_5    ,  **__magic_name__    ,  ):
       super().__init__(**__magic_name__      )

       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."""    ,  __magic_name__    ,  )

       lowerCamelCase		:	Optional[Any]							=      num_channels
       lowerCamelCase		:	str							=      num_encoder_blocks
       lowerCamelCase		:	Any							=      depths
       lowerCamelCase		:	List[Any]							=      sr_ratios
       lowerCamelCase		:	int							=      hidden_sizes
       lowerCamelCase		:	Union[str, Any]							=      patch_sizes
       lowerCamelCase		:	Optional[Any]							=      strides
       lowerCamelCase		:	Dict							=      mlp_ratios
       lowerCamelCase		:	str							=      num_attention_heads
       lowerCamelCase		:	Any							=      hidden_act
       lowerCamelCase		:	Tuple							=      hidden_dropout_prob
       lowerCamelCase		:	Union[str, Any]							=      attention_probs_dropout_prob
       lowerCamelCase		:	Dict							=      classifier_dropout_prob
       lowerCamelCase		:	Tuple							=      initializer_range
       lowerCamelCase		:	Dict							=      drop_path_rate
       lowerCamelCase		:	List[str]							=      layer_norm_eps
       lowerCamelCase		:	Any							=      decoder_hidden_size
       lowerCamelCase		:	str							=      kwargs.get("""reshape_last_stage"""    ,  __magic_name__      )
       lowerCamelCase		:	Dict							=      semantic_loss_ignore_index





class 							A__		(	__SCREAMING_SNAKE_CASE):
      _UpperCAmelCase				:    str           =			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      ):
       return 1e-4






      @property
      def 						UpperCamelCase__							(      self      ):
       return 1_2




