
import shutil

import requests
def 					lowerCAmelCase__     (    SCREAMING_SNAKE_CASE_			,				SCREAMING_SNAKE_CASE_ = False			,				SCREAMING_SNAKE_CASE_ = "."	)							->						dict:
			lowerCAmelCase__ : List[str]   =						'https://api.nasa.gov/planetary/apod'
			return requests.get(SCREAMING_SNAKE_CASE_			,				params={'api_key': api_key}	).json()
def 					lowerCAmelCase__     (    SCREAMING_SNAKE_CASE_			,				SCREAMING_SNAKE_CASE_ = "."	)							->						dict:
			lowerCAmelCase__ : List[str]   =						get_apod_data(SCREAMING_SNAKE_CASE_	)
			lowerCAmelCase__ : Tuple   =						apod_data['url']
			lowerCAmelCase__ : Dict   =						img_url.split('/'	)[-1]
			lowerCAmelCase__ : Any   =						requests.get(SCREAMING_SNAKE_CASE_			,				stream=SCREAMING_SNAKE_CASE_	)

			with open(F'''{path}/{img_name}'''			,				'wb+'	) as img_file:
						shutil.copyfileobj(response.raw			,				SCREAMING_SNAKE_CASE_	)
			del response
			return apod_data
def 					lowerCAmelCase__     (    SCREAMING_SNAKE_CASE_	)							->						dict:
			lowerCAmelCase__ : Any   =						'https://images-api.nasa.gov/search'
			return requests.get(SCREAMING_SNAKE_CASE_			,				params={'q': query}	).json()


if __name__ == "__main__":
					print(save_apod("""YOUR API KEY"""))
					lowerCamelCase__        =						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_flax_available,
    is_tf_available,
    is_torch_available,
)


lowerCamelCase__        =						{"""configuration_regnet""": ["""REGNET_PRETRAINED_CONFIG_ARCHIVE_MAP""", """RegNetConfig"""]}

try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					lowerCamelCase__        =						[
					    """REGNET_PRETRAINED_MODEL_ARCHIVE_LIST""",
					    """RegNetForImageClassification""",
					    """RegNetModel""",
					    """RegNetPreTrainedModel""",
					]

try:
					if not is_tf_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					lowerCamelCase__        =						[
					    """TF_REGNET_PRETRAINED_MODEL_ARCHIVE_LIST""",
					    """TFRegNetForImageClassification""",
					    """TFRegNetModel""",
					    """TFRegNetPreTrainedModel""",
					]

try:
					if not is_flax_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					lowerCamelCase__        =						[
					    """FlaxRegNetForImageClassification""",
					    """FlaxRegNetModel""",
					    """FlaxRegNetPreTrainedModel""",
					]


if TYPE_CHECKING:
					from .configuration_regnet import REGNET_PRETRAINED_CONFIG_ARCHIVE_MAP, RegNetConfig

					try:
										if not is_torch_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_regnet import (
										    REGNET_PRETRAINED_MODEL_ARCHIVE_LIST,
										    RegNetForImageClassification,
										    RegNetModel,
										    RegNetPreTrainedModel,
										)

					try:
										if not is_tf_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_tf_regnet import (
										    TF_REGNET_PRETRAINED_MODEL_ARCHIVE_LIST,
										    TFRegNetForImageClassification,
										    TFRegNetModel,
										    TFRegNetPreTrainedModel,
										)

					try:
										if not is_flax_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_flax_regnet import (
										    FlaxRegNetForImageClassification,
										    FlaxRegNetModel,
										    FlaxRegNetPreTrainedModel,
										)


else:
					import sys

					lowerCamelCase__        =						_LazyModule(__name__, globals()["""__file__"""], _import_structure)