class_docstr: A class to convert sampler output arrays to their original types.
class_docstr_tok: ["A","class","to","convert","sampler","output","arrays","to","their","original","types","."]
code: def _gets_props(self, array):
      props = {}
      props["type"] = array.__class__.__name__
      props["columns"] = getattr(array, "columns", None)
      props["name"] = getattr(array, "name", None)
      props["dtypes"] = getattr(array, "dtypes", None)
      return props
  
imports: import warnings
  from collections import OrderedDict
  from functools import wraps
  from inspect import Parameter, signature
  from numbers import Real
  from typing import Any, Dict
  import numpy
  from sklearn.utils import column_or_1d
  from sklearn.utils.multiclass import type_of_target
label_desc: Use image node_id 3 for calling the ArraysTransformer obj's underlying member method code with example usage: obj._gets_props(array) and returns: props