code: def _prepare_workloads():
      _add_dtype_workload_array()
      _add_dtype_workload_ones()
      _add_dtype_workload_zeros()
      _add_dtype_workload_eye()
      _add_dtype_workload_full()
      _add_dtype_workload_identity()
      _add_dtype_workload_linspace()
      _add_dtype_workload_logspace()
      _add_dtype_workload_mean()
      _add_dtype_workload_hanning()
      _add_dtype_workload_hamming()
      _add_dtype_workload_blackman()
      _add_dtype_workload_random_gamma()
      _add_dtype_workload_random_uniform()
      _add_dtype_workload_random_normal()
      _add_dtype_workload_true_divide()
      _add_dtype_workload_random_chisquare()
  
imports: from __future__ import absolute_import
  import numpy
  import mxnet
  from mxnet import npx
  from mxnet import numpy
  from mxnet.test_utils import use_np, use_np_default_dtype
label_desc: Use image node_id 18 for calling a global function with example usage: _prepare_workloads() without return types