code: def testScaleAndTranslateDown(self, dtype, method, antialias):
      image_shape = [1, 6, 7, 1]
      target_shape = [1, 3, 3, 1]
  
      data = [
          51,
          38,
          32,
          89,
          41,
          21,
          97,
          51,
          33,
          87,
          89,
          34,
          21,
          97,
          43,
          25,
          25,
          92,
          41,
          11,
          84,
          11,
          55,
          111,
          23,
          99,
          50,
          83,
          13,
          92,
          52,
          43,
          90,
          43,
          14,
          89,
          71,
          32,
          23,
          23,
          35,
          93,
      ]
      if antialias:
          expected_data = {}
          expected_data["linear"] = [
              43.5372,
              59.3694,
              53.6907,
              49.3221,
              56.8168,
              55.4849,
              0,
              0,
              0,
          ]
          expected_data["lanczos3"] = [
              43.2884,
              57.9091,
              54.6439,
              48.5856,
              58.2427,
              53.7551,
              0,
              0,
              0,
          ]
          expected_data["lanczos5"] = [
              43.9209,
              57.6360,
              54.9575,
              48.9272,
              58.1865,
              53.1948,
              0,
              0,
              0,
          ]
          expected_data["cubic"] = [
              42.9935,
              59.1687,
              54.2138,
              48.2640,
              58.2678,
              54.4088,
              0,
              0,
              0,
          ]
      else:
          expected_data = {}
          expected_data["linear"] = [
              43.6071,
              89,
              59,
              37.1785,
              27.2857,
              58.3571,
              0,
              0,
              0,
          ]
          expected_data["lanczos3"] = [
              44.1390,
              87.8786,
              63.3111,
              25.1161,
              20.8795,
              53.6165,
              0,
              0,
              0,
          ]
          expected_data["lanczos5"] = [
              44.8835,
              85.5896,
              66.7231,
              16.9983,
              19.8891,
              47.1446,
              0,
              0,
              0,
          ]
          expected_data["cubic"] = [
              43.6426,
              88.8854,
              60.6638,
              31.4685,
              22.1204,
              58.3457,
              0,
              0,
              0,
          ]
      x = np.array(data, dtype=dtype).reshape(image_shape)
  
      expected = np.array(expected_data[method], dtype=dtype).reshape(
          target_shape
      )
      scale_a = jnp.array([1.0, 0.35, 0.4, 1.0], dtype=jnp.float32)
      translation_a = jnp.array([0.0, 0.2, 0.1, 0.0], dtype=jnp.float32)
  
      output = image.scale_and_translate(
          x,
          target_shape,
          (0, 1, 2, 3),
          scale_a,
          translation_a,
          method,
          antialias=antialias,
      )
      self.assertAllClose(output, expected, atol=2e-03)
  
      # Tests that running with just a subset of dimensions that have non-trivial
      # scale and translation.
      output = image.scale_and_translate(
          x,
          target_shape,
          (1, 2),
          scale_a[1:3],
          translation_a[1:3],
          method,
          antialias=antialias,
      )
      self.assertAllClose(output, expected, atol=2e-03)
  
imports: from functools import partial
  import unittest
  import numpy
  from absl.testing import absltest
  import jax
  from jax import image
  from jax import numpy
  from jax._src import test_util
  from jax import config
label_desc: Use image node_id 7 for calling the ImageTest obj's underlying member method code with example usage: obj.testScaleAndTranslateDown(dtype, method, antialias) without return types