


from typing import TYPE_CHECKING

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


_A			=						{
    'configuration_blenderbot_small': [
        'BLENDERBOT_SMALL_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'BlenderbotSmallConfig',
        'BlenderbotSmallOnnxConfig',
    ],
    'tokenization_blenderbot_small': ['BlenderbotSmallTokenizer'],
}

try:
   if not is_tokenizers_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   _A			=						['BlenderbotSmallTokenizerFast']

try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   _A			=						[
       'BLENDERBOT_SMALL_PRETRAINED_MODEL_ARCHIVE_LIST',
       'BlenderbotSmallForCausalLM',
       'BlenderbotSmallForConditionalGeneration',
       'BlenderbotSmallModel',
       'BlenderbotSmallPreTrainedModel',
   ]

try:
   if not is_tf_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   _A			=						[
       'TFBlenderbotSmallForConditionalGeneration',
       'TFBlenderbotSmallModel',
       'TFBlenderbotSmallPreTrainedModel',
   ]

try:
   if not is_flax_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   _A			=						[
       'FlaxBlenderbotSmallForConditionalGeneration',
       'FlaxBlenderbotSmallModel',
       'FlaxBlenderbotSmallPreTrainedModel',
   ]

if TYPE_CHECKING:
   from .configuration_blenderbot_small import (
       BLENDERBOT_SMALL_PRETRAINED_CONFIG_ARCHIVE_MAP,
       BlenderbotSmallConfig,
       BlenderbotSmallOnnxConfig,
   )
   from .tokenization_blenderbot_small import BlenderbotSmallTokenizer

   try:
      if not is_tokenizers_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .tokenization_blenderbot_small_fast import BlenderbotSmallTokenizerFast

   try:
      if not is_torch_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_blenderbot_small import (
          BLENDERBOT_SMALL_PRETRAINED_MODEL_ARCHIVE_LIST,
          BlenderbotSmallForCausalLM,
          BlenderbotSmallForConditionalGeneration,
          BlenderbotSmallModel,
          BlenderbotSmallPreTrainedModel,
      )

   try:
      if not is_tf_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_tf_blenderbot_small import (
          TFBlenderbotSmallForConditionalGeneration,
          TFBlenderbotSmallModel,
          TFBlenderbotSmallPreTrainedModel,
      )

   try:
      if not is_flax_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_flax_blenderbot_small import (
          FlaxBlenderbotSmallForConditionalGeneration,
          FlaxBlenderbotSmallModel,
          FlaxBlenderbotSmallPreTrainedModel,
      )

else:
   import sys

   _A			=						_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)









import pprint

import requests

_A			=						'https://zenquotes.io/api'

def 						_UpperCAmelCase    (      ):
     return requests.get(API_ENDPOINT_URL + '/today'    ).json()

def 						_UpperCAmelCase    (      ):
     return requests.get(API_ENDPOINT_URL + '/random'    ).json()


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





