"tooltip": false,
              "viz": false
            },
            "insertNulls": false,
            "lineInterpolation": "linear",
            "lineWidth": 1,
            "pointSize": 5,
            "scaleDistribution": {
              "type": "linear"
            },
            "showPoints": "never",
            "spanNulls": true,
            "stacking": {
              "group": "A",

              "tooltip": false,
              "viz": false
            },
            "insertNulls": false,
            "lineInterpolation": "linear",
            "lineWidth": 1,
            "pointSize": 5,
            "scaleDistribution": {
              "type": "linear"
            },
            "showPoints": "never",
            "spanNulls": false,
            "stacking": {
              "group": "A",

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 {

              "tooltip": false,
              "viz": false
            },
            "insertNulls": false,
            "lineInterpolation": "linear",
            "lineWidth": 1,
            "pointSize": 5,
            "scaleDistribution": {
              "type": "linear"
            },
            "showPoints": "never",
            "spanNulls": false,
            "stacking": {
              "group": "A",

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 {

xt","axisLabel":"","axisPlacement":"auto","barAlignment":0,"drawStyle":"line","fillOpacity":10,"gradientMode":"none","hideFrom":{"legend":false,"tooltip":false,"viz":false},"insertNulls":false,"lineInterpolation":"linear","lineWidth":1,"pointSize":5,"scaleDistribution":{"type":"linear"},"showPoints":"never","spanNulls":false,"stacking":{"group":"A","mode":"none"},"thresholdsStyle":{"mode":"off"}},"mappings":[],"thresholds":{"mode":"absolute","steps":[{"color":"green","value":null},{"color":"red"...

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.
//

              "tooltip": false,
              "viz": false
            },
            "insertNulls": false,
            "lineInterpolation": "linear",
            "lineWidth": 1,
            "pointSize": 5,
            "scaleDistribution": {
              "type": "linear"
            },
            "showPoints": "never",
            "spanNulls": false,
            "stacking": {
              "group": "A",

	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},

// 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)`.