docstr: If a value smaller than the input is transformed, then it
  should go into the minimum bucket
code: def test_transform_smaller_than_fit_range_goes_into_first_bucket(
      self,
  ):
      """If a value smaller than the input is transformed, then it
      should go into the minimum bucket"""
  
      arr = np.array([n + 1 for n in range(10)])
      np.random.shuffle(arr)
      d = Discretiser(method="uniform", num_buckets=4)
      d.fit(arr)
      assert np.array_equal([0], d.transform(np.array([-101])))
  
imports: import math
  import numpy
  import pytest
  from causalnex.discretiser import Discretiser
label_desc: Use image node_id 4 for calling the TestUniform obj's underlying member method code with example usage: obj.test_transform_smaller_than_fit_range_goes_into_first_bucket() without return types