code: def test_lambda1_is_partially_zero(self, gc, dc):
      inputs = (
          1,
          5,
          [[1, 2, 3, 4, 5]],
          [0, -0.5, 0, 0.5, 0],
          [0.1, 0.2, 0.3, 0.4, 0.5],
      )
      self.batch_box_cox(inputs, gc, dc)
      inputs = (
          3,
          5,
          [[1, 2, 3, 4, 5], [6, 7, 8, 9, 10], [1, 2, 3, 4, 5]],
          [0, -0.5, 0, 0.5, 0],
          [0.1, 0.2, 0.3, 0.4, 0.5],
      )
      self.batch_box_cox(inputs, gc, dc)
      inputs = (
          2,
          6,
          [[1, 2, 3, 4, 5, 6], [7, 8, 9, 10, 11, 12]],
          [0, -0.5, 0, 0.5, 0, 1],
          [0.1, 0.2, 0.3, 0.4, 0.5, 0.6],
      )
      self.batch_box_cox(inputs, gc, dc)
      inputs = (
          2,
          7,
          [[1, 2, 3, 4, 5, 6, 7], [8, 9, 10, 11, 12, 13, 14]],
          [0, -0.5, 0, 0.5, 0, 1, 0],
          [0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7],
      )
      self.batch_box_cox(inputs, gc, dc)
  
file_path: pytorch/caffe2/python/operator_test/batch_box_cox_test.py
imports: from caffe2.python import core
  from hypothesis import given, settings
  import caffe2.python.hypothesis_test_util
  import caffe2.python.serialized_test.serialized_test_util
  import hypothesis.strategies
  import numpy
label_desc: Use image node_id 3 for calling the TestBatchBoxCox obj's underlying member method code with example usage: obj.test_lambda1_is_partially_zero(gc, dc) without return types