docstr: Maybe return a non-`CompositeTensor` `_Mixture`.
code: def __new__(cls, *args, **kwargs):
      """Maybe return a non-`CompositeTensor` `_Mixture`."""
  
      if cls is Mixture:
          if args:
              cat = args[0]
          else:
              cat = kwargs.get("cat")
          if len(args) > 1:
              components = args[1]
          else:
              components = kwargs.get("components")
  
          _validate_cat_and_components(cat, components)
          if not (
              auto_composite_tensor.is_composite_tensor(cat)
              and all(
                  auto_composite_tensor.is_composite_tensor(d)
                  for d in components
              )
          ):
              return _Mixture(*args, **kwargs)
      return super(Mixture, cls).__new__(cls)
  
imports: import warnings
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import categorical
  from tensorflow_probability.python.distributions import distribution
  from tensorflow_probability.python.internal import assert_util
  from tensorflow_probability.python.internal import auto_composite_tensor
  from tensorflow_probability.python.internal import distribution_util
  from tensorflow_probability.python.internal import parameter_properties
  from tensorflow_probability.python.internal import prefer_static
  from tensorflow_probability.python.internal import reparameterization
  from tensorflow_probability.python.internal import samplers
  from tensorflow_probability.python.internal import tensorshape_util
  from tensorflow_probability.python.util.seed_stream import SeedStream
  from tensorflow_probability.python.util.seed_stream import TENSOR_SEED_MSG_PREFIX
label_desc: Use image node_id 1 for calling the Mixture obj's underlying member method code with example usage: obj.__new__(cls) and returns: super, _Mixture