//   (multiply_linear_by_lr ? clamp(-l1 * lr, linear, l1 * lr)
   //                            clamp(-l1, linear, l1)) - linear
   (TF_SubOp:$linear_clipped_minus_linear
     (ConstAttrIfThenElse
       $multiply_linear_by_lr,
       (Clamp $src_op,
         (TF_NegOp (TF_MulOp $l1, $lr)),
         (CreateTFReadVariableOp $src_op, $l1, $linear),
         (TF_MulOp $l1, $lr)
       ),
       (Clamp $src_op,

///     Scope linear = root.NewSubScope("linear");
///     // W will be named "linear/W"
///     auto W = Variable(linear.WithOpName("W"),
///                       {2, 2}, DT_FLOAT);
///     // b will be named "linear/b_3"
///     int idx = 3;
///     auto b = Variable(linear.WithOpName("b_", idx),
///                       {2}, DT_FLOAT);
///     auto x = Const(linear, {...});  // name: "linear/Const"

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

			end = nodeEnd
		}
		lineNodes[lineno] = append(lineNodes[lineno], n)
	}
	if start < 1 {
		start = 1
	}

	var src graph.Nodes
	for lineno := start; lineno <= end; lineno++ {
		line, ok := reader.line(file, lineno)
		if !ok {
			break
		}
		flat, cum := lineNodes[lineno].Sum()
		src = append(src, &graph.Node{
			Info: graph.NodeInfo{
				Name:   strings.TrimRight(line, "\n"),

			m := abiSuff.FindStringSubmatch(fnName)
			if m != nil {
				return m[1], m[2]
			}
			return fnName, ""
		}
		for lineno, line := range lines {
			lineno++

			badf := func(format string, args ...interface{}) {
				pass.Reportf(analysisutil.LineStart(tf, lineno), "[%s] %s: %s", arch, fnName, fmt.Sprintf(format, args...))
			}

			if arch == "" {
				// Determine architecture from +build line if possible.

	if i.Address != 0 {
		name = append(name, fmt.Sprintf("%016x", i.Address))
	}
	if fun := i.Name; fun != "" {
		name = append(name, fun)
	}

	switch {
	case i.Lineno != 0:
		s := fmt.Sprintf("%s:%d", i.File, i.Lineno)
		if i.Columnno != 0 {
			s += fmt.Sprintf(":%d", i.Columnno)
		}
		// User requested line numbers, provide what we have.
		name = append(name, s)
	case i.File != "":

                    "ctx": {
                        "msg": "Expecting property name enclosed in double quotes",
                        "doc": "{some broken json}",
                        "pos": 1,
                        "lineno": 1,
                        "colno": 2,
                    },
                }
            ]
        }
    )


def test_post_form_for_json(client: TestClient):

                    "ctx": {
                        "msg": "Expecting property name enclosed in double quotes",
                        "doc": "{some broken json}",
                        "pos": 1,
                        "lineno": 1,
                        "colno": 2,
                    },
                }
            ]
        }
    )


@needs_py310
def test_post_form_for_json(client: TestClient):

	// In both cases the algorithm is a linear scan over the two
	// lists - T's methods and V's methods - simultaneously.
	// Since method tables are stored in a unique sorted order
	// (alphabetical, with no duplicate method names), the scan
	// through V's methods must hit a match for each of T's
	// methods along the way, or else V does not implement T.
	// This lets us run the scan in overall linear time instead of

		}
		flat, cum := n.FlatValue(), n.CumValue()
		l := &profile.Location{
			ID:      uint64(i + 1),
			Address: n.Info.Address,
			Line: []profile.Line{
				{
					Line:     int64(n.Info.Lineno),
					Column:   int64(n.Info.Columnno),
					Function: f,
				},
			},
		}

		fv, _ := measurement.Scale(flat, o.SampleUnit, o.OutputUnit)
		cv, _ := measurement.Scale(cum, o.SampleUnit, o.OutputUnit)