Scope root = Scope::NewRootScope();
  const auto names1 = LinearOp(root);

  EXPECT_EQ(names1[0], "linear/mul");
  EXPECT_EQ(names1[1], "linear/bias_add");
  EXPECT_EQ(names1[2], "linear/c1");
  EXPECT_EQ(names1[3], "linear/mul_1");
  EXPECT_EQ(names1[4], "linear");

  EXPECT_EQ(root.GetUniqueNameForOp("linear"), "linear_1");

  const auto names2 = LinearOp(root);

  EXPECT_EQ(names2[0], "linear_2/mul");

var Khmer <type 1>;
var Khojki <type 1>;
var Khudawadi <type 1>;
var L <type 1>;
var Lao <type 1>;
var Latin <type 1>;
var Lepcha <type 1>;
var Letter <type 1>;
var Limbu <type 1>;
var Linear_A <type 1>;
var Linear_B <type 1>;
var Lisu <type 1>;
var Ll <type 1>;
var Lm <type 1>;
var Lo <type 1>;
var Logical_Order_Exception <type 1>;
var Lower <type 1>;
const LowerCase = 1 ;
var Lt <type 1>;

// nanoseconds.
//
// The accuracy and range of the histogram is defined by the
// timeHistSubBucketBits and timeHistNumBuckets constants.
//
// It is an HDR histogram with exponentially-distributed
// buckets and linearly distributed sub-buckets.
//
// The histogram is safe for concurrent reads and writes.
type timeHistogram struct {
	counts [timeHistNumBuckets * timeHistNumSubBuckets]atomic.Uint64

import com.google.common.base.CharMatcher.NamedFastMatcher;
import java.util.BitSet;

/**
 * An immutable version of CharMatcher for smallish sets of characters that uses a hash table with
 * linear probing to check for matches.
 *
 * @author Christopher Swenson
 */
@GwtIncompatible // no precomputation is done in GWT
@ElementTypesAreNonnullByDefault
final class SmallCharMatcher extends NamedFastMatcher {

import com.google.common.base.CharMatcher.NamedFastMatcher;
import java.util.BitSet;

/**
 * An immutable version of CharMatcher for smallish sets of characters that uses a hash table with
 * linear probing to check for matches.
 *
 * @author Christopher Swenson
 */
@GwtIncompatible // no precomputation is done in GWT
@ElementTypesAreNonnullByDefault
final class SmallCharMatcher extends NamedFastMatcher {

type FunctionShapePoint struct {
	// Utilization is function argument.
	Utilization int64
	// Score is function value.
	Score int64
}

// BuildBrokenLinearFunction creates a function which is built using linear segments. Segments are defined via shape array.
// Shape[i].Utilization slice represents points on "Utilization" axis where different segments meet.
// Shape[i].Score represents function values at meeting points.
//

	l39 = b
	l40 = c
}

func TestLineNumber(t *testing.T) {
	trythis()
	for _, test := range []struct {
		name string
		val  int
		want int
	}{
		{"firstLine", firstLine, 0},
		{"lineVar1", lineVar1, 2},
		{"lineVar2a", lineVar2a, 3},
		{"lineVar2b", lineVar2b, 3},
		{"compLit[0].lineA", compLit[0].lineA, 9},
		{"compLit[0].lineB", compLit[0].lineB, 9},
		{"compLit[1].lineA", compLit[1].lineA, 12},

// uses a very rough approximation using the float64 exponent and the
// first 25 bits of the mantissa. The top 5 bits of the mantissa are
// used to load limits from a table of constants and the rest are used
// to scale linearly between them.
func fastlog2(x float64) float64 {
	const fastlogScaleBits = 20
	const fastlogScaleRatio = 1.0 / (1 << fastlogScaleBits)

	xBits := float64bits(x)

// Computes rectified linear gradients for a Relu operation.
Status ReluGrad(AbstractContext* ctx, AbstractTensorHandle* const gradients,
                AbstractTensorHandle* const features,
                AbstractTensorHandle** backprops, const char* name = nullptr,
                const char* raw_device_name = nullptr);

// Computes rectified linear: `max(features, 0)`.

org.checkerframework.checker.initialization
org.checkerframework.checker.initialization.qual
org.checkerframework.checker.interning
org.checkerframework.checker.interning.qual
org.checkerframework.checker.linear
org.checkerframework.checker.linear.qual
org.checkerframework.checker.lock
org.checkerframework.checker.lock.qual
org.checkerframework.checker.nullness
org.checkerframework.checker.nullness.compatqual