import shutil

import requests





def  lowercase(  lowerCamelCase       ,				lowerCamelCase = False       ,				lowerCamelCase = "."					)		->  dict:







 '''simple docstring'''
 UpperCamelCase      =			"""https://api.nasa.gov/planetary/apod"""
 return requests.get(lowerCamelCase       ,				params={"""api_key""": api_key}					).json()





def  lowercase(  lowerCamelCase       ,				lowerCamelCase = "."					)		->  dict:







 '''simple docstring'''
 UpperCamelCase      =			get_apod_data(lowerCamelCase					)
 UpperCamelCase      =			apod_data["""url"""]
 UpperCamelCase      =			img_url.split("""/"""					)[-1]
 UpperCamelCase      =			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  lowercase(  lowerCamelCase					)		->  dict:







 '''simple docstring'''
 UpperCamelCase      =			"""https://images-api.nasa.gov/search"""
 return requests.get(lowerCamelCase       ,				params={"""q""": query}					).json()


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

from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_torch_available,
)


_SCREAMING_SNAKE_CASE   		=			{
    """configuration_align""": [
        """ALIGN_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """AlignConfig""",
        """AlignTextConfig""",
        """AlignVisionConfig""",
    ],
    """processing_align""": ["""AlignProcessor"""],
}

try:
     if not is_torch_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     _SCREAMING_SNAKE_CASE   		=			[
         """ALIGN_PRETRAINED_MODEL_ARCHIVE_LIST""",
         """AlignModel""",
         """AlignPreTrainedModel""",
         """AlignTextModel""",
         """AlignVisionModel""",
     ]

if TYPE_CHECKING:
     from .configuration_align import (
         ALIGN_PRETRAINED_CONFIG_ARCHIVE_MAP,
         AlignConfig,
         AlignTextConfig,
         AlignVisionConfig,
     )
     from .processing_align import AlignProcessor

     try:
          if not is_torch_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_align import (
              ALIGN_PRETRAINED_MODEL_ARCHIVE_LIST,
              AlignModel,
              AlignPreTrainedModel,
              AlignTextModel,
              AlignVisionModel,
          )

else:
     import sys

     _SCREAMING_SNAKE_CASE   		=			_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)
