}
	sort.Strings(typedefNames)
	for _, name := range typedefNames {
		def := typedef[name]
		fmt.Fprintf(fgo2, "type %s ", name)
		// We don't have source info for these types, so write them out without source info.
		// Otherwise types would look like:
		//
		// type _Ctype_struct_cb struct {
		// //line :1
		//        on_test *[0]byte
		// //line :1
		// }
		//

                      slice[-9876543210:-1] runtime error: slice bounds out of range [:-1]
                       slice[-9876543210:0] runtime error: slice bounds out of range [-9876543210:]
                       slice[-9876543210:3] runtime error: slice bounds out of range [-9876543210:]
                       slice[-9876543210:4] runtime error: slice bounds out of range [:4] with capacity 3

    %0 = "quantfork.stats"(%arg0) {layerStats = dense<[6.00000000e-6, 9.00000000e-1]> : tensor<2xf32>} : (tensor<1x2xf32>) -> tensor<1x2xf32>

		// atomic add.
		// *arg0 += arg1. arg2=mem. returns <new content of *arg0, memory>. auxint must be zero.
		// LDAXR	(Rarg0), Rout
		// ADD		Rarg1, Rout
		// STLXR	Rout, (Rarg0), Rtmp
		// CBNZ		Rtmp, -3(PC)
		{name: "LoweredAtomicAdd64", argLength: 3, reg: gpxchg, resultNotInArgs: true, faultOnNilArg0: true, hasSideEffects: true, unsafePoint: true},

		// LWSYNC
		// LDAR/LWAR    (Rarg0), Rout
		// ADD		Rarg1, Rout
		// STDCCC/STWCCC Rout, (Rarg0)
		// BNE         -3(PC)
		// MOVW		Rout,Rout (if Add32)
		ld := ppc64.ALDAR
		st := ppc64.ASTDCCC
		if v.Op == ssa.OpPPC64LoweredAtomicAdd32 {
			ld = ppc64.ALWAR
			st = ppc64.ASTWCCC
		}
		r0 := v.Args[0].Reg()
		r1 := v.Args[1].Reg()
		out := v.Reg0()

 * property or method which your script uses is delegated through to the associated <code>Project</code> object.  This
 * means, that you can use any of the methods and properties on the <code>Project</code> interface directly in your script.
 * </p><p>For example:
 * <pre>
 * defaultTasks('some-task')  // Delegates to Project.defaultTasks()

func TestEqualFold(t *testing.T) {
	for _, tt := range EqualFoldTests {
		if out := EqualFold([]byte(tt.s), []byte(tt.t)); out != tt.out {
			t.Errorf("EqualFold(%#q, %#q) = %v, want %v", tt.s, tt.t, out, tt.out)
		}
		if out := EqualFold([]byte(tt.t), []byte(tt.s)); out != tt.out {
			t.Errorf("EqualFold(%#q, %#q) = %v, want %v", tt.t, tt.s, out, tt.out)
		}
	}
}

var cutTests = []struct {
	s, sep        string

    ask_cuda_compute_capabilities = (
        'Please specify a list of comma-separated CUDA compute capabilities '
        'you want to build with.\nYou can find the compute capability of your '
        'device at: https://developer.nvidia.com/cuda-gpus. Each capability '
        'can be specified as "x.y" or "compute_xy" to include both virtual and'

/* Copyright 2019 The TensorFlow Authors. All Rights Reserved.

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at

    http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,

    checkState(
        !(runtimeType instanceof TypeVariable),
        "Cannot construct a TypeToken for a type variable.\n"
            + "You probably meant to call new TypeToken<%s>(getClass()) "
            + "that can resolve the type variable for you.\n"
            + "If you do need to create a TypeToken of a type variable, "
            + "please use TypeToken.of() instead.",
        runtimeType);
  }

  /**