class_docstr: Mock BackendEngine that implements nothing, to test base class.
class_docstr_tok: ["Mock","BackendEngine","that","implements","nothing",",","to","test","base","class","."]
docstr: Deterministic evaluation function.
docstr_tok: ["Deterministic","evaluation","function","."]
code: def evaluate(self, X):
      """Deterministic evaluation function."""
      cols = self.base._y_transform.n_features_out_
      rows = len(X)
      y = []
      for row in range(rows):
          rng = np.random.default_rng(
              int(np.round(np.mean(X[row]) * (2**32)))
          )
          y.append(rng.random(cols))
      return np.stack(y)
  
imports: import sys
  import numpy
  from fairlearn.adversarial._adversarial_mitigation import _AdversarialFairness
  from fairlearn.adversarial._pytorch_engine import PytorchEngine
  from fairlearn.adversarial._tensorflow_engine import TensorflowEngine
  from fairlearn.adversarial._backend_engine import BackendEngine
label_desc: Use image node_id 2 for calling the RemoveAll obj's underlying member method code with example usage: obj.evaluate(X) and returns: np