




'''simple docstring'''


from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tf_available, is_torch_available


lowerCAmelCase_			:     Optional[int]							    =     {'configuration_cvt': ['CVT_PRETRAINED_CONFIG_ARCHIVE_MAP', 'CvtConfig']}


try:
       if not is_torch_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       lowerCAmelCase_			:     Optional[Any]							    =     [
           'CVT_PRETRAINED_MODEL_ARCHIVE_LIST',
           'CvtForImageClassification',
           'CvtModel',
           'CvtPreTrainedModel',
       ]

try:
       if not is_tf_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       lowerCAmelCase_			:     Dict							    =     [
           'TF_CVT_PRETRAINED_MODEL_ARCHIVE_LIST',
           'TFCvtForImageClassification',
           'TFCvtModel',
           'TFCvtPreTrainedModel',
       ]

if TYPE_CHECKING:
       from .configuration_cvt import CVT_PRETRAINED_CONFIG_ARCHIVE_MAP, CvtConfig

       try:
              if not is_torch_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_cvt import (
                  CVT_PRETRAINED_MODEL_ARCHIVE_LIST,
                  CvtForImageClassification,
                  CvtModel,
                  CvtPreTrainedModel,
              )

       try:
              if not is_tf_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_tf_cvt import (
                  TF_CVT_PRETRAINED_MODEL_ARCHIVE_LIST,
                  TFCvtForImageClassification,
                  TFCvtModel,
                  TFCvtPreTrainedModel,
              )


else:
       import sys

       lowerCAmelCase_			:     Optional[Any]							    =     _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)






'''simple docstring'''


import shutil

import requests



def    _SCREAMING_SNAKE_CASE    (			UpperCamelCase__						:				str   ,						UpperCamelCase__						:				bool = False   ,						UpperCamelCase__						:				str = "."							):




     """simple docstring"""


     a_    :       Any    	=     """https://api.nasa.gov/planetary/apod"""
     return requests.get(UpperCamelCase__   ,						params={"""api_key""": api_key}							).json()



def    _SCREAMING_SNAKE_CASE    (			UpperCamelCase__						:				str   ,						UpperCamelCase__						:				str = "."							):




     """simple docstring"""


     a_    :       Tuple    	=     get_apod_data(UpperCamelCase__							)
     a_    :       Tuple    	=     apod_data["""url"""]
     a_    :       Any    	=     img_url.split("""/"""							)[-1]
     a_    :       Tuple    	=     requests.get(UpperCamelCase__   ,						stream=UpperCamelCase__							)

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



def    _SCREAMING_SNAKE_CASE    (			UpperCamelCase__						:				str							):




     """simple docstring"""


     a_    :       str    	=     """https://images-api.nasa.gov/search"""
     return requests.get(UpperCamelCase__   ,						params={"""q""": query}							).json()


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