alextp

      serialize(modelFile+"-iter-"+trainer.iteration)
      val other = ClassifierPos.load(modelFile+"-iter-"+trainer.iteration)
      val od = other.ClassifierPosFeatureDomain.dimensionDomain
      val s0 = testDocs.head.sentences.head
      val sd0 = new SentenceData(s0)
      val sd1 = new other.SentenceData(s0)
      sd0.lemmas.zipWithIndex.foreach(l => assert(sd1.lemmas(l._2) == l._1))
      val f0 = new SparseBinaryTensor1(ClassifierPosFeatureDomain.dimensionDomain.size)
      val f1 = new SparseBinaryTensor1(other.ClassifierPosFeatureDomain.dimensionDomain.size)
      assert(ClassifierPosFeatureDomain.dimensionDomain.size == other.ClassifierPosFeatureDomain.dimensionDomain.size)

alextp

class StringMapCubbie[T](val m: mutable.Map[String,T]) extends Cubbie {
  var akeys : Seq[String] = null
  var avalues: Seq[T] = null
  setMap(new mutable.Map[String, Any] {
    override def update(key: String, value: Any): Unit = {
      if (key == "keys") {
        akeys = value.asInstanceOf[Traversable[String]].toSeq
      } else if (key == "values") {
        assert(keys != null)
        avalues = value.asInstanceOf[Traversable[T]].toSeq

alextp

trait Foo {
  def a: String
  val b = a + " "
}
class Bar extends Foo { override val a = "a" }
class Baz extends Foo { override def a = "a" }
class Bla extends Foo { override lazy val a = "a" }

// guess what the code below prints
println(new Bar().b)

alextp

import argparse
import numpy as np
import tensorflow as tf

from tensorflow.python.framework.errors import FailedPreconditionError

"""Code for data dependent initialization in Weight Normalization paper:
https://arxiv.org/abs/1602.07868
"""