




import shutil

import requests



def    UpperCAmelCase							(  _snake_case    ,			_snake_case = False    ,			_snake_case = "."				):
							lowerCAmelCase =		'''https://api.nasa.gov/planetary/apod'''
							return requests.get(_snake_case    ,			params={'''api_key''': api_key}				).json()



def    UpperCAmelCase							(  _snake_case    ,			_snake_case = "."				):
							lowerCAmelCase =		get_apod_data(_snake_case				)
							lowerCAmelCase =		apod_data['''url''']
							lowerCAmelCase =		img_url.split('''/'''				)[-1]
							lowerCAmelCase =		requests.get(_snake_case    ,			stream=_snake_case				)

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



def    UpperCAmelCase							(  _snake_case				):
							lowerCAmelCase =		'''https://images-api.nasa.gov/search'''
							return requests.get(_snake_case    ,			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"""])









from typing import TYPE_CHECKING

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


UpperCAmelCase_    ={
    """configuration_bark""": [
        """BARK_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """BarkCoarseConfig""",
        """BarkConfig""",
        """BarkFineConfig""",
        """BarkSemanticConfig""",
    ],
    """processing_bark""": ["""BarkProcessor"""],
}

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		UpperCAmelCase_    =[
		    """BARK_PRETRAINED_MODEL_ARCHIVE_LIST""",
		    """BarkFineModel""",
		    """BarkSemanticModel""",
		    """BarkCoarseModel""",
		    """BarkModel""",
		    """BarkPreTrainedModel""",
		    """BarkCausalModel""",
		]

if TYPE_CHECKING:
		from .configuration_bark import (
		    BARK_PRETRAINED_CONFIG_ARCHIVE_MAP,
		    BarkCoarseConfig,
		    BarkConfig,
		    BarkFineConfig,
		    BarkSemanticConfig,
		)
		from .processing_bark import BarkProcessor

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_bark import (
				    BARK_PRETRAINED_MODEL_ARCHIVE_LIST,
				    BarkCausalModel,
				    BarkCoarseModel,
				    BarkFineModel,
				    BarkModel,
				    BarkPreTrainedModel,
				    BarkSemanticModel,
				)

else:
		import sys

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



