[conversion script](https://github.com/tensorflow/tensorflow/tree/master/tensorflow/tools/compatibility).
* TensorFlow/models have been moved to a separate github repository. * Division
and modulus operators (/, //, %) now match Python (flooring) semantics. This
applies to `tf.div` and `tf.mod` as well. To obtain forced integer truncation
based behaviors you can use `tf.truncatediv` and `tf.truncatemod`. *

	FSW	F0, 4(X5)				// 27a20200

	// 20.6: Single-Precision Floating-Point Computational Instructions
	FADDS	F1, F0, F2				// 53011000
	FSUBS	F1, F0, F2				// 53011008
	FMULS	F1, F0, F2				// 53011010
	FDIVS	F1, F0, F2				// 53011018
	FMINS	F1, F0, F2				// 53011028
	FMAXS	F1, F0, F2				// 53111028
	FSQRTS	F0, F1					// d3000058

	// 20.7: Single-Precision Floating-Point Conversion and Move Instructions

          Entry<K, V> onlyEntry = requireNonNull(entries[0]);
          return of(onlyEntry.getKey(), onlyEntry.getValue());
        default:
          /*
           * If entries is full, or if hash flooding is detected, then this implementation may end
           * up using the entries array directly and writing over the entry objects with
           * non-terminal entries, but this is safe; if this Builder is used further, it will grow

import javax.annotation.CheckForNull;

/**
 * A bundle of statistical summary values -- sum, count, mean/average, min and max, and several
 * forms of variance -- that were computed from a single set of zero or more floating-point values.
 *
 * <p>There are two ways to obtain a {@code Stats} instance:
 *
 * <ul>
 *   <li>If all the values you want to summarize are already known, use the appropriate {@code

#!/usr/bin/env bash
# shellcheck disable=SC2034

# WARNING: DO NOT EDIT, THIS FILE IS PROBABLY A COPY
#
# The original version of this file is located in the https://github.com/istio/common-files repo.
# If you're looking at this file in a different repo and want to make a change, please go to the
# common-files repo, make the change there and check it in. Then come back to this repo and run
# "make update-common".

# Copyright Istio Authors
#

      protected C computeNext() {
        while (merged.hasNext()) {
          C next = merged.next();
          boolean duplicate = lastValue != null && comparator.compare(next, lastValue) == 0;

          // Keep looping till we find a non-duplicate value.
          if (!duplicate) {
            lastValue = next;
            return lastValue;
          }
        }

        lastValue = null; // clear reference to unused data

        Map<String, Integer> validPluginCounts = new HashMap<>();

        String testPluginArtifactId = "maven-compiler-plugin";

        // this is the plugin we're looking for.
        validPluginCounts.put(testPluginArtifactId, 0);

        // these are injected if -DperformRelease=true
        validPluginCounts.put("maven-deploy-plugin", 0);

        assertEquals(scopeValue, artifact.getScope(), "Check scope");
    }

    private Artifact getArtifact(MavenProject project, String groupId, String artifactId) {
        System.out.println("[ Looking for " + groupId + ":" + artifactId + " ]");
        for (Artifact a : project.getArtifacts()) {
            System.out.println(a.toString());

      this.size += other.size;
      return this;
    }

    private ImmutableMap<K, V> build(boolean throwIfDuplicateKeys) {
      /*
       * If entries is full, or if hash flooding is detected, then this implementation may end up
       * using the entries array directly and writing over the entry objects with non-terminal

direct use of a POM to state the dependencies of a given plugin and any tooling we created would be responsible for turning the dependency information in the POM into plugin metadata which described the dependencies of the plugin.

We are looking at using Mercury for the resolution and retrieval of the plugin dependencies so during development we would translate the POMs into dependency information that Mercury can understand, and in production we would have the pre-digested format that Mercury...