* and forbids implementations or extensions with parallel edges. If you need parallel edges, use
 * {@link Network}. (You can use a positive {@code Integer} edge value as a loose representation of
 * edge multiplicity, but the {@code *degree()} and mutation methods will not reflect your
 * interpretation of the edge value as its multiplicity.)
 *
 * <h3>Building a {@code ValueGraph}</h3>
 *

 * and forbids implementations or extensions with parallel edges. If you need parallel edges, use
 * {@link Network}. (You can use a positive {@code Integer} edge value as a loose representation of
 * edge multiplicity, but the {@code *degree()} and mutation methods will not reflect your
 * interpretation of the edge value as its multiplicity.)
 *
 * <h3>Building a {@code ValueGraph}</h3>
 *

		}
	}
	// Henceforth we can assume ipFamilyPolicy is set.

	// Do some loose pre-validation of the input.  This makes it easier in the
	// rest of allocation code to not have to consider corner cases.
	// TODO(thockin): when we tighten validation (e.g. to require IPs) we will
	// need a "strict" and a "loose" form of this.
	if el := validation.ValidateServiceClusterIPsRelatedFields(service); len(el) != 0 {

  return success();
}

// Insert a "requant" op after the mean op if the mean has different scales for
// input & output.
// Please note: THIS IS NOT a mathmetically-equivalent transformation and it may
// loose accuracy, so we need to use this very very carefully.
LogicalResult InsertRequantForReduceMean::matchAndRewrite(
    TFL::MeanOp mean_op, PatternRewriter& rewriter) const {
  auto input = mean_op.getInput();

    const src = stacks.Sources[box.src];
    actionTitle.innerText = src.Display[src.Display.length-1];
    const menu = actions;
    menu.style.display = 'block';
    // Compute position so menu stays visible and near the mouse.
    const x = Math.min(e.clientX - 10, document.body.clientWidth - menu.clientWidth);
    const y = Math.min(e.clientY - 10, document.body.clientHeight - menu.clientHeight);
    menu.style.left = x + 'px';

1FABF         ; valid                  ;      ; NV8    # 15.0 GOOSE
1FAC0..1FAC2  ; valid                  ;      ; NV8    # 13.0 ANATOMICAL HEART..PEOPLE HUGGING
1FAC3..1FAC5  ; valid                  ;      ; NV8    # 14.0 PREGNANT MAN..PERSON WITH CROWN
1FAC6..1FACD  ; disallowed                             # NA   <reserved-1FAC6>..<reserved-1FACD>
1FACE..1FACF  ; valid                  ;      ; NV8    # 15.0 MOOSE..DONKEY

                abstract Property<CustomData> getCustomData();

                @TaskAction
                void run() {
                }
            }

            extension.customData.vcsUrl = "goose"
            tasks.register("crashTask", CrashTask) {
                customData = extension.customData
                outputDir = file("build/crashTask")
            }
        """

        when:

	if err != nil {
		// Failed to create newbucket, abort.
		t.Fatalf("%s : %s", instanceType, err.Error())
	}

	// Take 4 disks down, one more we loose quorum on 16 disk node.
	for _, disk := range disks[:4] {
		os.RemoveAll(disk)
	}

	testCases := []struct {
		bucketName    string
		objName       string
		inputData     []byte

    // Map<Integer, Number> looseValued4 = transformEntries(map9, transformer);

    // Can't call with too loose a key:
    // transformEntries(map1, transformer);
    // transformEntries(map2, transformer);
    // transformEntries(map3, transformer);

    // Can't call with too loose a value:
    // transformEntries(map1, transformer);
    // transformEntries(map4, transformer);

// reshapes in many cases. More precisely, this function creates 1s matrix
// with appropriate shape to match with the shape of XlaDotV2 result.
// We didn't apply XlaEinsum or XlaDotV2 for this work, since it would loose
// the chance for constant folding later. We could try to add some
// postprocessing passes later to further optimize the graph after constant
// folding.
Value CreateZeroPointPartialOffsetXlaDotV2(