code: def _is_numpy_double_array(object, dimensions: int) -> bool:
      assert check_argument_types()
      output = (
          isinstance(object, np.ndarray)
          and len(object.shape) == dimensions
          and object.dtype.type == np.double
      )
      assert check_return_type(output)
      return output
  
file_path: glow/python/glow/conversions.py
imports: import numpy
  from py4j.java_collections import JavaArray
  from pyspark import SparkContext
  from typeguard import check_argument_types, check_return_type
label_desc: Use image node_id 1 for calling a global function with example usage: _is_numpy_double_array(object, dimensions) and returns: output