class_docstr: Data class for missing data information
class_docstr_tok: ["Data","class","for","missing","data","information"]
docstr: Convert tuple to a list where None is always first.
docstr_tok: ["Convert","tuple","to","a","list","where","None","is","always","first","."]
code: def to_list(self):
      """Convert tuple to a list where None is always first."""
      output = []
      if self.none:
          output.append(None)
      if self.nan:
          output.append(np.nan)
      return output
  
imports: from collections import Counter
  from contextlib import suppress
  from typing import NamedTuple
  import numpy
  from .None import is_scalar_nan
label_desc: Use image node_id 1 for calling the MissingValues obj's underlying member method code with example usage: obj.to_list() and returns: output