code: def _make_positive_masks(impl, args, kw, name, sp_name, scipy_name):
      # Returns a mask of output arrays that indicates valid elements for
      # comparison. See the comment at the caller.
      ks = [k for k, v in kw.items() if v in _unsigned_dtypes]
      for k in ks:
          kw[k] = _signed_counterpart(kw[k])
      result, error = _call_func_cupy(
          impl, args, kw, name, sp_name, scipy_name
      )
      assert error is None
      if not isinstance(result, (tuple, list)):
          result = (result,)
      return [cupy.asnumpy(r) >= 0 for r in result]
  
imports: import functools
  import inspect
  import os
  import random
  from typing import Tuple, Type
  import traceback
  import unittest
  import warnings
  import numpy
  import cupy
  from cupy.testing import _array
  from cupy.testing import _parameterized
  import cupyx
  import cupyx.scipy.sparse
  from cupy.testing._pytest_impl import is_available
label_desc: Use image node_id 10 for calling a global function with example usage: _make_positive_masks(impl, args, kw, name, sp_name, scipy_name) and returns: unknown