
"""simple docstring"""


from typing import TYPE_CHECKING

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


lowerCAmelCase								=						{
    "configuration_resnet": ["RESNET_PRETRAINED_CONFIG_ARCHIVE_MAP", "ResNetConfig", "ResNetOnnxConfig"]
}

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							lowerCAmelCase								=						[
							    "RESNET_PRETRAINED_MODEL_ARCHIVE_LIST",
							    "ResNetForImageClassification",
							    "ResNetModel",
							    "ResNetPreTrainedModel",
							    "ResNetBackbone",
							]

try:
							if not is_tf_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							lowerCAmelCase								=						[
							    "TF_RESNET_PRETRAINED_MODEL_ARCHIVE_LIST",
							    "TFResNetForImageClassification",
							    "TFResNetModel",
							    "TFResNetPreTrainedModel",
							]

try:
							if not is_flax_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							lowerCAmelCase								=						[
							    "FlaxResNetForImageClassification",
							    "FlaxResNetModel",
							    "FlaxResNetPreTrainedModel",
							]

if TYPE_CHECKING:
							from .configuration_resnet import RESNET_PRETRAINED_CONFIG_ARCHIVE_MAP, ResNetConfig, ResNetOnnxConfig

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_resnet import (
														    RESNET_PRETRAINED_MODEL_ARCHIVE_LIST,
														    ResNetBackbone,
														    ResNetForImageClassification,
														    ResNetModel,
														    ResNetPreTrainedModel,
														)

							try:
														if not is_tf_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_tf_resnet import (
														    TF_RESNET_PRETRAINED_MODEL_ARCHIVE_LIST,
														    TFResNetForImageClassification,
														    TFResNetModel,
														    TFResNetPreTrainedModel,
														)

							try:
														if not is_flax_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_flax_resnet import FlaxResNetForImageClassification, FlaxResNetModel, FlaxResNetPreTrainedModel


else:
							import sys

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

import pprint

import requests

SCREAMING_SNAKE_CASE__   :			str												=    "https://zenquotes.io/api"




def  __magic_name__ (   )			->   list:
				return requests.get(API_ENDPOINT_URL + '''/today'''							).json()




def  __magic_name__ (   )			->   list:
				return requests.get(API_ENDPOINT_URL + '''/random'''							).json()


if __name__ == "__main__":
					SCREAMING_SNAKE_CASE__   :			int												=    random_quotes()
					pprint.pprint(response)



