code: def _numel(x, coerce_np_ndarray: bool, **kwargs):
      """
      A reduction to count the number of elements.
  
      This has an additional kwarg in coerce_np_ndarray, which determines
      whether to ensure that the resulting array is a numpy.ndarray, or whether
      we allow it to be other array types via `np.full_like`.
      """
      shape = x.shape
      keepdims = kwargs.get("keepdims", False)
      axis = kwargs.get("axis", None)
      dtype = kwargs.get("dtype", np.float64)
  
      if axis is None:
          prod = np.prod(shape, dtype=dtype)
          if keepdims is False:
              return prod
  
          if coerce_np_ndarray:
              return np.full(
                  shape=(1,) * len(shape), fill_value=prod, dtype=dtype
              )
          else:
              return np.full_like(
                  x, prod, shape=(1,) * len(shape), dtype=dtype
              )
  
      if not isinstance(axis, (tuple, list)):
          axis = [axis]
  
      prod = math.prod(shape[dim] for dim in axis)
      if keepdims is True:
          new_shape = tuple(
              shape[dim] if dim not in axis else 1
              for dim in range(len(shape))
          )
      else:
          new_shape = tuple(
              shape[dim] for dim in range(len(shape)) if dim not in axis
          )
  
      if coerce_np_ndarray:
          return np.broadcast_to(np.array(prod, dtype=dtype), new_shape)
      else:
          return np.full_like(x, prod, shape=new_shape, dtype=dtype)
  
imports: from __future__ import annotations
  import math
  import numpy
  from dask.array import chunk
  from dask.array.core import Array
  from dask.array.dispatch import concatenate_lookup, divide_lookup, einsum_lookup, empty_lookup, nannumel_lookup, numel_lookup, percentile_lookup, tensordot_lookup, to_cupy_dispatch, to_numpy_dispatch
  from dask.array.numpy_compat import divide
  from dask.array.numpy_compat import ma_divide
  from dask.array.percentile import _percentile
  from dask.backends import CreationDispatch, DaskBackendEntrypoint
label_desc: Use image node_id 12 for calling a global function with example usage: _numel(x, coerce_np_ndarray) and returns: np, np, prod, np, np