






'''simple docstring'''







import shutil

import requests






def  lowerCAmelCase__		(					a_  :     str			,						a_  :     bool = False			,						a_  :     str = "."			)   -> dict:
       UpperCAmelCase__	:   Any												=	'''https://api.nasa.gov/planetary/apod'''
       return requests.get(a_			,						params={'''api_key''': api_key}			).json()






def  lowerCAmelCase__		(					a_  :     str			,						a_  :     str = "."			)   -> dict:
       UpperCAmelCase__	:   str												=	get_apod_data(a_			)
       UpperCAmelCase__	:   Optional[Any]												=	apod_data['''url''']
       UpperCAmelCase__	:   int												=	img_url.split('''/'''			)[-1]
       UpperCAmelCase__	:   List[str]												=	requests.get(a_			,						stream=a_			)

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






def  lowerCAmelCase__		(					a_  :     str			)   -> dict:
       UpperCAmelCase__	:   int												=	'''https://images-api.nasa.gov/search'''
       return requests.get(a_			,						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 typing import TYPE_CHECKING

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


UpperCamelCase_					=				{
    "configuration_flava": [
        "FLAVA_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "FlavaConfig",
        "FlavaImageCodebookConfig",
        "FlavaImageConfig",
        "FlavaMultimodalConfig",
        "FlavaTextConfig",
    ],
}

try:
  if not is_vision_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  UpperCamelCase_					=				["FlavaFeatureExtractor"]
  UpperCamelCase_					=				["FlavaImageProcessor"]
  UpperCamelCase_					=				["FlavaProcessor"]

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  UpperCamelCase_					=				[
      "FLAVA_PRETRAINED_MODEL_ARCHIVE_LIST",
      "FlavaForPreTraining",
      "FlavaImageCodebook",
      "FlavaImageModel",
      "FlavaModel",
      "FlavaMultimodalModel",
      "FlavaPreTrainedModel",
      "FlavaTextModel",
  ]

if TYPE_CHECKING:
  from .configuration_flava import (
      FLAVA_PRETRAINED_CONFIG_ARCHIVE_MAP,
      FlavaConfig,
      FlavaImageCodebookConfig,
      FlavaImageConfig,
      FlavaMultimodalConfig,
      FlavaTextConfig,
  )

  try:
    if not is_vision_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .feature_extraction_flava import FlavaFeatureExtractor
    from .image_processing_flava import FlavaImageProcessor
    from .processing_flava import FlavaProcessor

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_flava import (
        FLAVA_PRETRAINED_MODEL_ARCHIVE_LIST,
        FlavaForPreTraining,
        FlavaImageCodebook,
        FlavaImageModel,
        FlavaModel,
        FlavaMultimodalModel,
        FlavaPreTrainedModel,
        FlavaTextModel,
    )

else:
  import sys

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