docstr: Maybe return a non-`CompositeTensor` `_Inflated`.
docstr_tok: ["Maybe","return","a","non-","`","CompositeTensor","`","`","_Inflated","`","."]
code: def __new__(cls, *args, **kwargs):
      """Maybe return a non-`CompositeTensor` `_Inflated`."""
  
      if cls is Inflated:
          if args:
              distribution = args[0]
          else:
              distribution = kwargs.get("distribution")
  
          if not auto_composite_tensor.is_composite_tensor(
              distribution
          ):
              return _Inflated(*args, **kwargs)
      return super(Inflated, cls).__new__(cls)
  
imports: import inspect
  import warnings
  import tensorflow.compat.v2
  from tensorflow_probability.python.bijectors import sigmoid
  from tensorflow_probability.python.distributions import categorical
  from tensorflow_probability.python.distributions import deterministic
  from tensorflow_probability.python.distributions import distribution
  from tensorflow_probability.python.distributions import mixture
  from tensorflow_probability.python.distributions import negative_binomial
  from tensorflow_probability.python.internal import auto_composite_tensor
  from tensorflow_probability.python.internal import dtype_util
  from tensorflow_probability.python.internal import parameter_properties
  from tensorflow_probability.python.internal import prefer_static
  from tensorflow_probability.python.internal import samplers
  from tensorflow_probability.python.internal import tensor_util
  from tensorflow_probability.python.util.deferred_tensor import DeferredTensor
label_desc: Use image node_id 1 for calling the Inflated obj's underlying member method code with example usage: obj.__new__(cls) and returns: super, _Inflated