


"""simple docstring"""

from __future__ import annotations

import math

import numpy as np
from numpy.linalg import norm


def lowerCAmelCase_      (				UpperCamelCase__	: np.ndarray				,   UpperCamelCase__	: np.ndarray ):






 """simple docstring"""







 return math.sqrt(sum(pow(a - b				,   2 ) for a, b in zip(UpperCamelCase__				,   UpperCamelCase__ ) ) )


def lowerCAmelCase_      (				UpperCamelCase__	: np.ndarray				,   UpperCamelCase__	: np.ndarray ):






 """simple docstring"""







 if dataset.ndim != value_array.ndim:
  __lowercase									=	(
      """Wrong input data's dimensions... """
      f'''dataset : {dataset.ndim}, value_array : {value_array.ndim}'''
  )
  raise ValueError(UpperCamelCase__ )

 try:
  if dataset.shape[1] != value_array.shape[1]:
   __lowercase									=	(
       """Wrong input data's shape... """
       f'''dataset : {dataset.shape[1]}, value_array : {value_array.shape[1]}'''
   )
   raise ValueError(UpperCamelCase__ )
 except IndexError:
  if dataset.ndim != value_array.ndim:
   raise TypeError("""Wrong shape""" )

 if dataset.dtype != value_array.dtype:
  __lowercase									=	(
      """Input data have different datatype... """
      f'''dataset : {dataset.dtype}, value_array : {value_array.dtype}'''
  )
  raise TypeError(UpperCamelCase__ )

 __lowercase									=	[]

 for value in value_array:
  __lowercase									=	euclidean(UpperCamelCase__				,   dataset[0] )
  __lowercase									=	dataset[0].tolist()

  for dataset_value in dataset[1:]:
   __lowercase									=	euclidean(UpperCamelCase__				,   UpperCamelCase__ )

   if dist > temp_dist:
    __lowercase									=	temp_dist
    __lowercase									=	dataset_value.tolist()

  answer.append([vector, dist] )

 return answer


def lowerCAmelCase_      (				UpperCamelCase__	: np.ndarray				,   UpperCamelCase__	: np.ndarray ):






 """simple docstring"""







 return np.dot(UpperCamelCase__				,   UpperCamelCase__ ) / (norm(UpperCamelCase__ ) * norm(UpperCamelCase__ ))


if __name__ == "__main__":
       import doctest

       doctest.testmod()




"""simple docstring"""

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


UpperCAmelCase__  							=logging.get_logger(__name__)

UpperCAmelCase__  							={
    "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    ):
      a :     Optional[int]											=		"""segformer"""
      def __init__(		self	:	str      ,       A_	:	Optional[int]=3      ,       A_	:	Any=4      ,       A_	:	Optional[int]=[2, 2, 2, 2]      ,       A_	:	str=[8, 4, 2, 1]      ,       A_	:	Any=[3_2, 6_4, 1_6_0, 2_5_6]      ,       A_	:	Union[str, Any]=[7, 3, 3, 3]      ,       A_	:	Any=[4, 2, 2, 2]      ,       A_	:	int=[1, 2, 5, 8]      ,       A_	:	Union[str, Any]=[4, 4, 4, 4]      ,       A_	:	Optional[Any]="gelu"      ,       A_	:	List[str]=0.0      ,       A_	:	Any=0.0      ,       A_	:	Optional[Any]=0.1      ,       A_	:	List[str]=0.02      ,       A_	:	Tuple=0.1      ,       A_	:	Optional[Any]=1e-6      ,       A_	:	Optional[int]=2_5_6      ,       A_	:	Optional[Any]=2_5_5      ,       **A_	:	Union[str, Any]      ,       ):






       '''simple docstring'''


       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_      ,       )

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






class    lowerCamelCase__						(		_a    ):
      a :     List[str]											=		version.parse("""1.11"""    )
      @property
      def SCREAMING_SNAKE_CASE_	(		self	:	Any							):






       '''simple docstring'''


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






       '''simple docstring'''


       return 1e-4






      @property
      def SCREAMING_SNAKE_CASE_	(		self	:	int							):






       '''simple docstring'''


       return 1_2
