






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/mobilevit-small": "https://huggingface.co/apple/mobilevit-small/resolve/main/config.json",
    "apple/mobilevit-x-small": "https://huggingface.co/apple/mobilevit-x-small/resolve/main/config.json",
    "apple/mobilevit-xx-small": "https://huggingface.co/apple/mobilevit-xx-small/resolve/main/config.json",
    "apple/deeplabv3-mobilevit-small": (
        "https://huggingface.co/apple/deeplabv3-mobilevit-small/resolve/main/config.json"
    ),
    "apple/deeplabv3-mobilevit-x-small": (
        "https://huggingface.co/apple/deeplabv3-mobilevit-x-small/resolve/main/config.json"
    ),
    "apple/deeplabv3-mobilevit-xx-small": (
        "https://huggingface.co/apple/deeplabv3-mobilevit-xx-small/resolve/main/config.json"
    ),
    # See all MobileViT models at https://huggingface.co/models?filter=mobilevit
}






class 	lowercase_      (			lowercase     ):






      '''simple docstring'''




      __snake_case  						=						'''mobilevit'''







      def __init__(   self   :		str				,      __UpperCAmelCase   :		str=3				,      __UpperCAmelCase   :		Optional[Any]=256				,      __UpperCAmelCase   :		Union[str, Any]=2				,      __UpperCAmelCase   :		Optional[int]=[144, 192, 240]				,      __UpperCAmelCase   :		List[str]=[16, 32, 64, 96, 128, 160, 640]				,      __UpperCAmelCase   :		Any=4				,      __UpperCAmelCase   :		str=2.0				,      __UpperCAmelCase   :		List[Any]=4.0				,      __UpperCAmelCase   :		Dict="silu"				,      __UpperCAmelCase   :		int=3				,      __UpperCAmelCase   :		Optional[Any]=32				,      __UpperCAmelCase   :		Union[str, Any]=0.1				,      __UpperCAmelCase   :		List[Any]=0.0				,      __UpperCAmelCase   :		int=0.1				,      __UpperCAmelCase   :		Optional[int]=0.02				,      __UpperCAmelCase   :		str=1e-5				,      __UpperCAmelCase   :		Optional[Any]=True				,      __UpperCAmelCase   :		Tuple=256				,      __UpperCAmelCase   :		Dict=[6, 12, 18]				,      __UpperCAmelCase   :		List[str]=0.1				,      __UpperCAmelCase   :		Optional[int]=255				,      **__UpperCAmelCase   :		Tuple				,      )					->Tuple:




       """simple docstring"""


       super().__init__(**__UpperCAmelCase						)

       a							=   num_channels
       a							=   image_size
       a							=   patch_size
       a							=   hidden_sizes
       a							=   neck_hidden_sizes
       a							=   num_attention_heads
       a							=   mlp_ratio
       a							=   expand_ratio
       a							=   hidden_act
       a							=   conv_kernel_size
       a							=   output_stride
       a							=   hidden_dropout_prob
       a							=   attention_probs_dropout_prob
       a							=   classifier_dropout_prob
       a							=   initializer_range
       a							=   layer_norm_eps
       a							=   qkv_bias

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






class 	lowercase_      (			lowercase     ):






      '''simple docstring'''




      __snake_case  						=						version.parse('''1.11'''     )







      @property
      def    __lowerCAmelCase      (   self   :		Union[str, Any]						)					->Mapping[str, Mapping[int, str]]:




       """simple docstring"""


       return OrderedDict([('''pixel_values''', {0: '''batch''', 1: '''num_channels''', 2: '''height''', 3: '''width'''})]						)







      @property
      def    __lowerCAmelCase      (   self   :		Tuple						)					->Mapping[str, Mapping[int, str]]:




       """simple docstring"""


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







      @property
      def    __lowerCAmelCase      (   self   :		Optional[int]						)					->float:




       """simple docstring"""


       return 1e-4














import numpy as np

UpperCAmelCase__            =	[
    ["a", "b", "c", "d", "e"],
    ["f", "g", "h", "i", "k"],
    ["l", "m", "n", "o", "p"],
    ["q", "r", "s", "t", "u"],
    ["v", "w", "x", "y", "z"],
]






class 	lowercase_      :






      '''simple docstring'''




      def __init__(   self   :		Optional[Any]						)					->None:




       """simple docstring"""


       a							=   np.array(__UpperCAmelCase						)







      def    __lowerCAmelCase      (   self   :		List[str]				,      __UpperCAmelCase   :		str						)					->np.ndarray:




       """simple docstring"""


       a						,  a							=   np.where(letter == self.SQUARE						)
       a							=   np.concatenate([indexa + 1, indexa + 1]						)
       return indexes







      def    __lowerCAmelCase      (   self   :		int				,      __UpperCAmelCase   :		int				,      __UpperCAmelCase   :		int						)					->str:




       """simple docstring"""


       return self.SQUARE[indexa - 1, indexa - 1]







      def    __lowerCAmelCase      (   self   :		Tuple				,      __UpperCAmelCase   :		str						)					->str:




       """simple docstring"""


       a							=   message.lower()
       a							=   message.replace('''j'''				,      '''i'''						)

       a							=   ''''''
       for letter_index in range(len(__UpperCAmelCase						)						):
        if message[letter_index] != " ":
         a							=   self.letter_to_numbers(message[letter_index]						)
         a							=   encoded_message + str(numbers[0]						) + str(numbers[1]						)
        elif message[letter_index] == " ":
         a							=   encoded_message + ''' '''

       return encoded_message







      def    __lowerCAmelCase      (   self   :		Any				,      __UpperCAmelCase   :		str						)					->str:




       """simple docstring"""


       a							=   message.replace(''' '''				,      '''  '''						)
       a							=   ''''''
       for numbers_index in range(int(len(__UpperCAmelCase						) / 2						)						):
        if message[numbers_index * 2] != " ":
         a							=   message[numbers_index * 2]
         a							=   message[numbers_index * 2 + 1]

         a							=   self.numbers_to_letter(int(__UpperCAmelCase						)				,      int(__UpperCAmelCase						)						)
         a							=   decoded_message + letter
        elif message[numbers_index * 2] == " ":
         a							=   decoded_message + ''' '''

       return decoded_message


