
'''simple docstring'''

import shutil

import requests


def 		_UpperCAmelCase			(					_lowerCamelCase  :    str					, _lowerCamelCase  :    bool = False					, _lowerCamelCase  :    str = "."						)      ->  dict:
  _lowerCAmelCase    :					Optional[Any]							=   """https://api.nasa.gov/planetary/apod"""
  return requests.get(_lowerCamelCase					, params={"""api_key""": api_key}						).json()


def 		_UpperCAmelCase			(					_lowerCamelCase  :    str					, _lowerCamelCase  :    str = "."						)      ->  dict:
  _lowerCAmelCase    :					Optional[int]							=   get_apod_data(_lowerCamelCase						)
  _lowerCAmelCase    :					List[str]							=   apod_data["""url"""]
  _lowerCAmelCase    :					Optional[Any]							=   img_url.split("""/"""						)[-1]
  _lowerCAmelCase    :					Dict							=   requests.get(_lowerCamelCase					, stream=_lowerCamelCase						)

  with open(f'{path}/{img_name}'					, """wb+"""						) as img_file:
    shutil.copyfileobj(response.raw					, _lowerCamelCase						)
  del response
  return apod_data


def 		_UpperCAmelCase			(					_lowerCamelCase  :    str						)      ->  dict:
  _lowerCAmelCase    :					List[str]							=   """https://images-api.nasa.gov/search"""
  return requests.get(_lowerCamelCase					, params={"""q""": query}						).json()


if __name__ == "__main__":
     print(save_apod("""YOUR API KEY"""))
     UpperCamelCase_            =    get_archive_data("""apollo 2011""")["""collection"""]["""items"""]
     print(apollo_aaaa_items[0]["""data"""][0]["""description"""])




'''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/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 					a_					(_a      ):
       __lowerCAmelCase      :			List[str]      = """mobilevit"""




       def __init__(       self				,				snake_case_=3				,				snake_case_=2_5_6				,				snake_case_=2				,				snake_case_=[1_4_4, 1_9_2, 2_4_0]				,				snake_case_=[1_6, 3_2, 6_4, 9_6, 1_2_8, 1_6_0, 6_4_0]				,				snake_case_=4				,				snake_case_=2.0				,				snake_case_=4.0				,				snake_case_="silu"				,				snake_case_=3				,				snake_case_=3_2				,				snake_case_=0.1				,				snake_case_=0.0				,				snake_case_=0.1				,				snake_case_=0.02				,				snake_case_=1E-5				,				snake_case_=True				,				snake_case_=2_5_6				,				snake_case_=[6, 1_2, 1_8]				,				snake_case_=0.1				,				snake_case_=2_5_5				,				**snake_case_				,				):
         super().__init__(**snake_case_					)

         _lowerCAmelCase    :					Optional[Any]							=   num_channels
         _lowerCAmelCase    :					Optional[int]							=   image_size
         _lowerCAmelCase    :					Union[str, Any]							=   patch_size
         _lowerCAmelCase    :					Any							=   hidden_sizes
         _lowerCAmelCase    :					List[Any]							=   neck_hidden_sizes
         _lowerCAmelCase    :					Any							=   num_attention_heads
         _lowerCAmelCase    :					List[Any]							=   mlp_ratio
         _lowerCAmelCase    :					Optional[Any]							=   expand_ratio
         _lowerCAmelCase    :					List[Any]							=   hidden_act
         _lowerCAmelCase    :					Dict							=   conv_kernel_size
         _lowerCAmelCase    :					Tuple							=   output_stride
         _lowerCAmelCase    :					Dict							=   hidden_dropout_prob
         _lowerCAmelCase    :					Tuple							=   attention_probs_dropout_prob
         _lowerCAmelCase    :					Optional[int]							=   classifier_dropout_prob
         _lowerCAmelCase    :					int							=   initializer_range
         _lowerCAmelCase    :					List[Any]							=   layer_norm_eps
         _lowerCAmelCase    :					List[Any]							=   qkv_bias

         # decode head attributes for semantic segmentation
         _lowerCAmelCase    :					str							=   aspp_out_channels
         _lowerCAmelCase    :					Optional[Any]							=   atrous_rates
         _lowerCAmelCase    :					Any							=   aspp_dropout_prob
         _lowerCAmelCase    :					Union[str, Any]							=   semantic_loss_ignore_index



class 					a_					(_a      ):
       __lowerCAmelCase      :			Optional[int]      = 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


