code: def test_metadata_request_consumes_method():
      """Test that MetadataRequest().consumes() method works as expected."""
      request = MetadataRouter(owner="test")
      assert request.consumes(method="fit", params={"foo"}) == set()
  
      request = MetadataRequest(owner="test")
      request.fit.add_request(param="foo", alias=True)
      assert request.consumes(method="fit", params={"foo"}) == {"foo"}
  
      request = MetadataRequest(owner="test")
      request.fit.add_request(param="foo", alias="bar")
      assert request.consumes(method="fit", params={"bar", "foo"}) == {
          "bar"
      }
  
imports: import re
  import numpy
  import pytest
  from sklearn import config_context
  from sklearn.base import BaseEstimator, clone
  from sklearn.linear_model import LinearRegression
  from sklearn.tests.metadata_routing_common import ConsumingClassifier, ConsumingRegressor, ConsumingTransformer, MetaRegressor, MetaTransformer, NonConsumingClassifier, WeightedMetaClassifier, WeightedMetaRegressor, _Registry, assert_request_equal, assert_request_is_empty, check_recorded_metadata
  from sklearn.utils import metadata_routing
  from sklearn.utils._metadata_requests import COMPOSITE_METHODS, METHODS, SIMPLE_METHODS, MethodMetadataRequest, MethodPair, _MetadataRequester, request_is_alias, request_is_valid
  from sklearn.utils.metadata_routing import MetadataRequest, MetadataRouter, MethodMapping, get_routing_for_object, process_routing
  from sklearn.utils.validation import check_is_fitted
label_desc: Use image node_id 18 for calling a global function with example usage: test_metadata_request_consumes_method() without return types