code: def number_feature():
      feature = {NAME: "x", COLUMN: "x", "type": "number"}
      feature[PROC_COLUMN] = compute_feature_hash(feature)
      return feature
  
file_path: ludwig/tests/ludwig/utils/test_normalization.py
imports: from typing import Tuple
  import numpy
  import pandas
  import pytest
  from ludwig.backend import initialize_backend
  from ludwig.constants import COLUMN, NAME, PROC_COLUMN
  from ludwig.features.feature_utils import compute_feature_hash
  from ludwig.features.number_feature import NumberFeatureMixin, numeric_transformation_registry
  from ludwig.utils.types import DataFrame
label_desc: Use image node_id 1 for calling a global function with example usage: number_feature() and returns: feature