}
}

// TLSCurveIDs returns a list of supported elliptic curve IDs
// in preference order.
func TLSCurveIDs() []tls.CurveID {
	var curves []tls.CurveID
	if !Enabled {
		curves = append(curves, tls.X25519) // Only enable X25519 in non-FIPS mode
	}
	curves = append(curves, tls.CurveP256, tls.CurveP384, tls.CurveP521)
	return curves

    validations:
      required: false

  - type: textarea
    id: learning-curve
    attributes:
      label: "Would this change make Go easier or harder to learn, and why?"

  - type: textarea
    id: cost-description
    attributes:
      label: "Cost Description"

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litigation is filed.

All Recipient's rights under this Agreement shall terminate if it
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    *   Add `tf.keras.layers.AbstractRNNCell` as the preferred implementation
        for RNN cells in TF v2. User can use it to implement RNN cells with
        custom behavior.
    *   Keras training and validation curves are shown on the same plot when
        using the TensorBoard callback.
    *   Switched Keras `fit/evaluate/predict` execution to use only a single
        unified path by default unless eager execution has been explicitly