}
        }

        Model tmpModel = lineage.get(0);

        // inject interpolated activations
        List<Profile> interpolated = interpolateActivations(tmpModel.getProfiles(), profileActivationContext, problems);
        if (interpolated != tmpModel.getProfiles()) {
            tmpModel = tmpModel.withProfiles(interpolated);
        }

        // inject external profile into current model

        The {@code <parent>} element contains information required to locate the parent project from which
        this project will inherit from.
        <p><strong>Note:</strong> The children of this element are not interpolated and must be given as literal values.</p>
        ]]>
      </description>
      <fields>
        <field>
          <name>groupId</name>
          <version>4.0.0+</version>

RegexBasedInterpolat { private java.util.List valueSources; public void RegexBasedInterpolat(); public void RegexBasedInterpolat(java.util.List); public void addValueSource(ValueSource); public void removeValuesSource(ValueSource); public String interpolate(String, String); } org/codehaus/plexus/util/interpolation/ValueSource.class package org.codehaus.plexus.util.interpolation; public abstract interface ValueSource { public abstract Object getValue(String); } org/codehaus/plexus/util/InterpolationFilterR.class...

                            Severity.WARNING,
                            Version.V30,
                            prefix + path,
                            null,
                            "Failed to interpolate profile activation property " + s + ": " + propertyName
                                    + " expressions are not supported during profile activation.",
                            locationSupplier.get());
                }

        feature columns and losses.
    *   Add non-linear image warping ops: `tf.contrib.image.sparse_image_warp`,
        `tf.contrib.image.dense_image_warp`, and
        `tf.contrib.image.interpolate_spline`.
    *   Fix bug in `tf.contrib.opt.MultitaskOptimizerWrapper` where types of
        tensors were mismatched.
*   Other:
    *   Low-level graph construction now calls the TensorFlow C API. This change