#    See full examples below for more details on these. Some other modifiers are:
#      Ex. versions_upload -- for TF official release versions
#      Ex. nightly_upload -- for TF nightly official builds; changes version numbers
#      Ex. no_upload      -- Disable all uploads, usually for temporary CI issues

# Recommended: use a local+remote cache.
#
#   Bazel will cache your builds in tensorflow/build_output/cache,

    double ySumOfSquaresOfDeltas = yStats.sumOfSquaresOfDeltas();
    checkState(xSumOfSquaresOfDeltas > 0.0);
    checkState(ySumOfSquaresOfDeltas > 0.0);
    // The product of two positive numbers can be zero if the multiplication underflowed. We
    // force a positive value by effectively rounding up to MIN_VALUE.
    double productOfSumsOfSquaresOfDeltas =

  // Limited priority levels in proportion to their NCS values:
  //
  // NominalCL(i)  = ceil( ServerCL * NCS(i) / sum_ncs )
  // sum_ncs = sum[limited priority level k] NCS(k)
  //
  // Bigger numbers mean a larger nominal concurrency limit,
  // at the expense of every other Limited priority level.
  // This field has a default value of 30.
  // +optional
  optional int32 nominalConcurrencyShares = 1;

	// Constants for the first byte in CreatorVersion.
	creatorFAT    = 0
	creatorUnix   = 3
	creatorNTFS   = 11
	creatorVFAT   = 14
	creatorMacOSX = 19

	// Version numbers.
	zipVersion20 = 20 // 2.0
	zipVersion45 = 45 // 4.5 (reads and writes zip64 archives)

	// Limits for non zip64 files.
	uint16max = (1 << 16) - 1
	uint32max = (1 << 32) - 1

	// Extra header IDs.
	//

    /**
     * Indicates whether the model should track the line/column number of the model source from which it was parsed.
     *
     * @return {@code true} if location tracking is enabled, {@code false} otherwise.
     */
    boolean isLocationTracking();

    /**
     * Enables/disables the tracking of line/column numbers for the model source being parsed. By default, input
     * locations are not tracked.
     *

        first_bad_status.reset(TF_NewStatus());
        TF_SetStatus(first_bad_status.get(), TF_INTERNAL,
                     "Parallel ops produced different numbers of tensors.");
      }
    }
  }
  if (first_bad_status != nullptr) {
    TF_SetStatus(status, TF_GetCode(first_bad_status.get()),
                 TF_Message(first_bad_status.get()));
    return result;

* Validation for most (or all?) Python **data types**, including:
    * JSON objects (`dict`).
    * JSON array (`list`) defining item types.
    * String (`str`) fields, defining min and max lengths.
    * Numbers (`int`, `float`) with min and max values, etc.

* Validation for more exotic types, like:
    * URL.
    * Email.
    * UUID.
    * ...and others.

		if aOK && bOK {
			if len(aA) != len(bA) {
				return false
			}
			for i := range aA {
				if !cmp(aA[i], bA[i]) {
					return false
				}
			}
			return true
		}
		// Try as numbers
		aF, aOK := a.ToFloat()
		bF, bOK := b.ToFloat()

		diff := math.Abs(aF - bF)
		return aOK && bOK && diff < floatCmpTolerance
	}

	var rhs Value
	var err error
	var eltVal *Value
	switch {

      fun run() {
        val requestBody = object : RequestBody() {
          override fun contentType() = MEDIA_TYPE_MARKDOWN

          override fun writeTo(sink: BufferedSink) {
            sink.writeUtf8("Numbers\n")
            sink.writeUtf8("-------\n")
            for (i in 2..997) {
              sink.writeUtf8(String.format(" * $i = ${factor(i)}\n"))
            }
          }

    return outputFuture;
  }

  enum RunningState {
    NOT_RUN,
    CANCELLED,
    STARTED,
  }

  /**
   * This class helps avoid a StackOverflowError when large numbers of tasks are submitted with
   * {@link MoreExecutors#directExecutor}. Normally, when the first future completes, all the other
   * tasks would be called recursively. Here, we detect that the delegate executor is executing