code: def number_config():
      return {"name": "number_column_name", "type": "number"}
  
file_path: ludwig/tests/ludwig/features/test_number_feature.py
imports: from copy import deepcopy
  from typing import Dict
  import numpy
  import pytest
  import torch
  from ludwig.constants import ENCODER_OUTPUT
  from ludwig.features.number_feature import _OutlierReplacer, NumberInputFeature
  from ludwig.schema.features.number_feature import ECDNumberInputFeatureConfig
  from ludwig.schema.utils import load_config_with_kwargs
  from ludwig.utils.misc_utils import merge_dict
  from ludwig.utils.torch_utils import get_torch_device
label_desc: Use image node_id 1 for calling a global function with example usage: number_config() and returns: dict