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Replace # pytype: disable suppressions with # pyrefly: ignore #650

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Merged
copybara-service merged 1 commit into from
Oct 12, 2026
Merged

Replace # pytype: disable suppressions with # pyrefly: ignore #650

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4 changes: 2 additions & 2 deletions tensorflow_privacy/privacy/privacy_tests/epsilon_lower_bound.py
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Original file line number Diff line number Diff line change
Expand Up @@ -50,12 +50,12 @@ def _get_tp_fp_for_thresholds(pos_scores: np.ndarray,
y_score = np.concatenate([pos_scores, neg_scores])
try:
# sklearn 1.8.0 or newer
_, fp, _, tp, _ = sklearn.metrics.confusion_matrix_at_thresholds( # pytype:disable=module-attr
_, fp, _, tp, _ = sklearn.metrics.confusion_matrix_at_thresholds(
y_true=y_true, y_score=y_score
)
except AttributeError:
# sklearn 1.7.2 or older
fp, tp, _ = sklearn.metrics._ranking._binary_clf_curve( # pylint:disable=protected-access # pytype:disable=module-attr
fp, tp, _ = sklearn.metrics._ranking._binary_clf_curve( # pylint:disable=protected-access # pyrefly: ignore[missing-attribute]
y_true=y_true, y_score=y_score
)
return tp, fp
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4 changes: 2 additions & 2 deletions tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/seq2seq_mia.py
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Expand Up @@ -227,7 +227,7 @@ def _get_batch_loss_metrics(batch_logits: np.ndarray,

if not tf.executing_eagerly():
session = tf.compat.v1.Session()
batch_loss = batch_loss.eval(session) # pytype: disable=attribute-error
batch_loss = batch_loss.eval(session) # pyrefly: ignore[missing-attribute]
return batch_loss / batch_length, batch_length


Expand Down Expand Up @@ -255,7 +255,7 @@ def _get_batch_accuracy_metrics(

if not tf.executing_eagerly():
session = tf.compat.v1.Session()
batch_correct_preds = batch_correct_preds.eval(session) # pytype: disable=attribute-error
batch_correct_preds = batch_correct_preds.eval(session) # pyrefly: ignore[missing-attribute]
return batch_correct_preds, batch_total_preds


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