code: def _enforce_unnamed_col_schema(
      pf_input: PyFuncInput, input_schema: Schema
  ):
      """Enforce the input columns conform to the model's column-based signature."""
      input_names = pf_input.columns[: len(input_schema.inputs)]
      input_types = input_schema.input_types()
      new_pf_input = pd.DataFrame()
      for i, x in enumerate(input_names):
          if isinstance(input_types[i], DataType):
              new_pf_input[x] = _enforce_mlflow_datatype(
                  x, pf_input[x], input_types[i]
              )
          # If the input_type is objects/arrays, we assume pf_input must be a pandas DataFrame.
          # Otherwise, the schema is not valid.
          elif isinstance(input_types[i], Object):
              new_pf_input[x] = pd.Series(
                  [
                      _enforce_object(obj, input_types[i])
                      for obj in pf_input[x]
                  ],
                  name=x,
              )
          elif isinstance(input_types[i], Array):
              new_pf_input[x] = pd.Series(
                  [
                      _enforce_array(arr, input_types[i])
                      for arr in pf_input[x]
                  ],
                  name=x,
              )
      return new_pf_input
  
imports: import datetime
  import decimal
  import json
  import logging
  import os
  from copy import deepcopy
  from typing import Any, Dict, List, Optional, Union
  import numpy
  import pandas
  from mlflow.exceptions import INVALID_PARAMETER_VALUE, MlflowException
  from mlflow.models import Model
  from mlflow.store.artifact.utils.models import get_model_name_and_version
  from mlflow.types import DataType, ParamSchema, ParamSpec, Schema, TensorSpec
  from mlflow.types.schema import Array, Object, Property
  from mlflow.types.utils import TensorsNotSupportedException, _infer_param_schema, clean_tensor_type
  from mlflow.utils.annotations import experimental
  from mlflow.utils.proto_json_utils import NumpyEncoder, dataframe_from_parsed_json, parse_tf_serving_input
  from mlflow.utils.uri import get_databricks_profile_uri_from_artifact_uri
label_desc: Use image node_id 11 for calling a global function with example usage: _enforce_unnamed_col_schema(pf_input, input_schema) and returns: new_pf_input