code: def _poisson(
      shape, lam, dtype=np.float32, seed=None, name=None
  ):  # pylint: disable=unused-argument
      rng = (
          np.random
          if seed is None
          else np.random.RandomState(seed & 0xFFFFFFFF)
      )
      dtype = utils.common_dtype([lam], dtype_hint=dtype)
      shape = _ensure_shape_tuple(shape)
      return rng.poisson(lam=lam, size=shape).astype(dtype)
  
imports: import numpy
  import numpy
  from tensorflow_probability.python.internal.backend.numpy import _utils
  from tensorflow_probability.python.internal.backend.numpy import ops
  from tensorflow_probability.python.internal.backend.numpy.numpy_math import softmax
label_desc: Use image node_id 10 for calling a global function with example usage: _poisson(shape, lam, dtype, seed, name) and returns: rng