// CHECK-LABEL: testResourceApplyFtrl
func.func @testResourceApplyFtrl(%var: tensor<*x!tf_type.resource>, %accum: tensor<*x!tf_type.resource>, %linear: tensor<*x!tf_type.resource>, %grad: tensor<*xf32>, %lr: tensor<*xf32>, %l1: tensor<*xf32>, %l2: tensor<*xf32>, %lr_power: tensor<*xf32>) -> () {

// that is modifying the code can have feedback about the performance impact
// on their changes. It also runs multiple number of rules test cases to check
// if the number of rules grows linearly.
func TestNumberIptablesRules(t *testing.T) {
	testCases := []struct {
		name                string
		epsFunc             func(eps *discovery.EndpointSlice)
		svcFunc             func(svc *v1.Service)

			// No UTF-8 or non-ASCII allowed in tokens.
			return false
		}
		if lowerASCII(byte(b)) != lowerASCII(t2[i]) {
			return false
		}
	}
	return true
}

// isLWS reports whether b is linear white space, according
// to http://www.w3.org/Protocols/rfc2616/rfc2616-sec2.html#sec2.2
//
//	LWS            = [CRLF] 1*( SP | HT )
func isLWS(b byte) bool { return b == ' ' || b == '\t' }

	// will make any future Write calls return errClosed
	err error
	// table is the hash table from 20-bit keys to 12-bit values. Each table
	// entry contains key<<12|val and collisions resolve by linear probing.
	// The keys consist of a 12-bit code prefix and an 8-bit byte suffix.
	// The values are a 12-bit code.
	table [tableSize]uint32
}

// writeLSB writes the code c for "Least Significant Bits first" data.

   recorded together as a single integer, we use the value F<<16+B.

   Threads:

   Wasm doesn't (yet) have threads. We have to simulate threads by
   keeping goroutine stacks in linear memory and unwinding
   the Wasm stack each time we want to switch goroutines.

   To support unwinding a stack, each function call returns on the Wasm
   stack a boolean that tells the function whether it should return

    checkNotNull(presentBehavior);
    checkNotNull(absentBehavior);
    if (!(list instanceof RandomAccess)) {
      list = Lists.newArrayList(list);
    }
    // TODO(lowasser): benchmark when it's best to do a linear search

    int lower = 0;
    int upper = list.size() - 1;

    while (lower <= upper) {
      int middle = (lower + upper) >>> 1;
      int c = comparator.compare(key, list.get(middle));

    checkNotNull(presentBehavior);
    checkNotNull(absentBehavior);
    if (!(list instanceof RandomAccess)) {
      list = Lists.newArrayList(list);
    }
    // TODO(lowasser): benchmark when it's best to do a linear search

    int lower = 0;
    int upper = list.size() - 1;

    while (lower <= upper) {
      int middle = (lower + upper) >>> 1;
      int c = comparator.compare(key, list.get(middle));

// one byte of non-whitespace.
func hasNonWhitespace(s string) bool {
	for _, b := range s {
		switch b {
		// Encoded-words can only be separated by linear white spaces which does
		// not include vertical tabs (\v).
		case ' ', '\t', '\n', '\r':
		default:
			return true
		}
	}
	return false
}

// qDecode decodes a Q encoded string.

      return WalkResult::advance();
    OpBuilder builder(reduce_dataset);
    Location loc = reduce_dataset.getLoc();

    // Get reduce function signature for dataset iteration types.
    // Note: lookupSymbol is a linear lookup which means the overall
    // complexity = # ReduceDataset ops x # of functions in module.
    func::FuncOp reduce_func =
        function->getParentOfType<ModuleOp>().lookupSymbol<FuncOp>(

limitations under the License.
==============================================================================*/

// The XlaDevice executes a TensorFlow graph using the XLA linear algebra
// runtime.
//
// Operators assigned to an XlaDevice are compiled into XLA computations.
// Tensors on an XlaDevice are thin wrappers around XLA ScopedShapedBuffers.
//