code: def equipped_spaces(request):
      k_landmarks, m_ambient = request.param
  
      request.cls.space = PreShapeSpace(k_landmarks, m_ambient)
  
imports: import random
  import pytest
  from geomstats.geometry.pre_shape import PreShapeSpace, PreShapeSpaceBundle
  from geomstats.geometry.quotient_metric import QuotientMetric
  from geomstats.test.parametrizers import DataBasedParametrizer
  from geomstats.test_cases.geometry.pre_shape import KendallShapeMetricTestCase, PreShapeSpaceBundleTestCase, PreShapeSpaceTestCase
  from geomstats.test_cases.geometry.riemannian_metric import RiemannianMetricComparisonTestCase, RiemannianMetricTestCase
  from .data.pre_shape import KendallShapeMetricCmpTestData, KendallShapeMetricTestData, PreShapeMetricTestData, PreShapeSpaceBundleTestData, PreShapeSpaceTestData
label_desc: Use image node_id 3 for calling a global function with example usage: equipped_spaces(request) without return types