// Copyright 2014 the V8 project authors. All rights reserved.
// Use of this source code is governed by a BSD-style license that can be
// found in the LICENSE file.

#ifndef V8_CCTEST_COMPILER_VALUE_HELPER_H_
#define V8_CCTEST_COMPILER_VALUE_HELPER_H_

#include "src/compiler/common-operator.h"
#include "src/compiler/node.h"
#include "src/compiler/node-matchers.h"
#include "src/isolate.h"
#include "src/objects.h"
#include "test/cctest/cctest.h"

namespace v8 {
namespace internal {
namespace compiler {

// A collection of utilities related to numerical and heap values, including
// example input values of various types, including int32_t, uint32_t, double,
// etc.
class ValueHelper {
 public:
  Isolate* isolate_;

  ValueHelper() : isolate_(CcTest::InitIsolateOnce()) {}

  void CheckFloat64Constant(double expected, Node* node) {
    CHECK_EQ(IrOpcode::kFloat64Constant, node->opcode());
    CHECK_EQ(expected, OpParameter<double>(node));
  }

  void CheckNumberConstant(double expected, Node* node) {
    CHECK_EQ(IrOpcode::kNumberConstant, node->opcode());
    CHECK_EQ(expected, OpParameter<double>(node));
  }

  void CheckInt32Constant(int32_t expected, Node* node) {
    CHECK_EQ(IrOpcode::kInt32Constant, node->opcode());
    CHECK_EQ(expected, OpParameter<int32_t>(node));
  }

  void CheckUint32Constant(int32_t expected, Node* node) {
    CHECK_EQ(IrOpcode::kInt32Constant, node->opcode());
    CHECK_EQ(expected, OpParameter<int32_t>(node));
  }

  void CheckHeapConstant(HeapObject* expected, Node* node) {
    CHECK_EQ(IrOpcode::kHeapConstant, node->opcode());
    CHECK_EQ(expected, *OpParameter<Handle<HeapObject>>(node));
  }

  void CheckTrue(Node* node) {
    CheckHeapConstant(isolate_->heap()->true_value(), node);
  }

  void CheckFalse(Node* node) {
    CheckHeapConstant(isolate_->heap()->false_value(), node);
  }

  static std::vector<float> float32_vector() {
    static const float kValues[] = {
        -std::numeric_limits<float>::infinity(), -2.70497e+38f, -1.4698e+37f,
        -1.22813e+35f,                           -1.20555e+35f, -1.34584e+34f,
        -1.0079e+32f,                            -6.49364e+26f, -3.06077e+25f,
        -1.46821e+25f,                           -1.17658e+23f, -1.9617e+22f,
        -2.7357e+20f,                            -1.48708e+13f, -1.89633e+12f,
        -4.66622e+11f,                           -2.22581e+11f, -1.45381e+10f,
        -1.3956e+09f,                            -1.32951e+09f, -1.30721e+09f,
        -1.19756e+09f,                           -9.26822e+08f, -6.35647e+08f,
        -4.00037e+08f,                           -1.81227e+08f, -5.09256e+07f,
        -964300.0f,                              -192446.0f,    -28455.0f,
        -27194.0f,                               -26401.0f,     -20575.0f,
        -17069.0f,                               -9167.0f,      -960.178f,
        -113.0f,                                 -62.0f,        -15.0f,
        -7.0f,                                   -0.0256635f,   -4.60374e-07f,
        -3.63759e-10f,                           -4.30175e-14f, -5.27385e-15f,
        -1.48084e-15f,                           -1.05755e-19f, -3.2995e-21f,
        -1.67354e-23f,                           -1.11885e-23f, -1.78506e-30f,
        -5.07594e-31f,                           -3.65799e-31f, -1.43718e-34f,
        -1.27126e-38f,                           -0.0f,         0.0f,
        1.17549e-38f,                            1.56657e-37f,  4.08512e-29f,
        3.31357e-28f,                            6.25073e-22f,  4.1723e-13f,
        1.44343e-09f,                            5.27004e-08f,  9.48298e-08f,
        5.57888e-07f,                            4.89988e-05f,  0.244326f,
        12.4895f,                                19.0f,         47.0f,
        106.0f,                                  538.324f,      564.536f,
        819.124f,                                7048.0f,       12611.0f,
        19878.0f,                                20309.0f,      797056.0f,
        1.77219e+09f,                            1.51116e+11f,  4.18193e+13f,
        3.59167e+16f,                            3.38211e+19f,  2.67488e+20f,
        1.78831e+21f,                            9.20914e+21f,  8.35654e+23f,
        1.4495e+24f,                             5.94015e+25f,  4.43608e+30f,
        2.44502e+33f,                            2.61152e+33f,  1.38178e+37f,
        1.71306e+37f,                            3.31899e+38f,  3.40282e+38f,
        std::numeric_limits<float>::infinity()};
    return std::vector<float>(&kValues[0], &kValues[arraysize(kValues)]);
  }

  static std::vector<double> float64_vector() {
    static const double nan = std::numeric_limits<double>::quiet_NaN();
    static const double values[] = {
        0.125, 0.25, 0.375, 0.5, 1.25, -1.75, 2, 5.125, 6.25, 0.0, -0.0,
        982983.25, 888, 2147483647.0, -999.75, 3.1e7, -2e66, 3e-88,
        -2147483648.0, V8_INFINITY, -V8_INFINITY, -nan, nan, 2147483647.375,
        2147483647.75, 2147483648.0, 2147483648.25, 2147483649.25,
        -2147483647.0, -2147483647.125, -2147483647.875, -2147483648.25,
        -2147483649.5};
    return std::vector<double>(&values[0], &values[arraysize(values)]);
  }

  static const std::vector<int32_t> int32_vector() {
    std::vector<uint32_t> values = uint32_vector();
    return std::vector<int32_t>(values.begin(), values.end());
  }

  static const std::vector<uint32_t> uint32_vector() {
    static const uint32_t kValues[] = {
        0x00000000, 0x00000001, 0xffffffff, 0x1b09788b, 0x04c5fce8, 0xcc0de5bf,
        // This row is useful for testing lea optimizations on intel.
        0x00000002, 0x00000003, 0x00000004, 0x00000005, 0x00000008, 0x00000009,
        0x273a798e, 0x187937a3, 0xece3af83, 0x5495a16b, 0x0b668ecc, 0x11223344,
        0x0000009e, 0x00000043, 0x0000af73, 0x0000116b, 0x00658ecc, 0x002b3b4c,
        0x88776655, 0x70000000, 0x07200000, 0x7fffffff, 0x56123761, 0x7fffff00,
        0x761c4761, 0x80000000, 0x88888888, 0xa0000000, 0xdddddddd, 0xe0000000,
        0xeeeeeeee, 0xfffffffd, 0xf0000000, 0x007fffff, 0x003fffff, 0x001fffff,
        0x000fffff, 0x0007ffff, 0x0003ffff, 0x0001ffff, 0x0000ffff, 0x00007fff,
        0x00003fff, 0x00001fff, 0x00000fff, 0x000007ff, 0x000003ff, 0x000001ff};
    return std::vector<uint32_t>(&kValues[0], &kValues[arraysize(kValues)]);
  }

  static const std::vector<int64_t> int64_vector() {
    std::vector<uint64_t> values = uint64_vector();
    return std::vector<int64_t>(values.begin(), values.end());
  }

  static const std::vector<uint64_t> uint64_vector() {
    static const uint64_t kValues[] = {
        0x00000000,         0x00000001,         0xffffffff,
        0x1b09788b,         0x04c5fce8,         0xcc0de5bf,
        0x00000002,         0x00000003,         0x00000004,
        0x00000005,         0x00000008,         0x00000009,
        0xffffffffffffffff, 0xfffffffffffffffe, 0xfffffffffffffffd,
        0x0000000000000000, 0x0000000100000000, 0xffffffff00000000,
        0x1b09788b00000000, 0x04c5fce800000000, 0xcc0de5bf00000000,
        0x0000000200000000, 0x0000000300000000, 0x0000000400000000,
        0x0000000500000000, 0x0000000800000000, 0x0000000900000000,
        0x273a798e187937a3, 0xece3af835495a16b, 0x0b668ecc11223344,
        0x0000009e,         0x00000043,         0x0000af73,
        0x0000116b,         0x00658ecc,         0x002b3b4c,
        0x88776655,         0x70000000,         0x07200000,
        0x7fffffff,         0x56123761,         0x7fffff00,
        0x761c4761eeeeeeee, 0x80000000eeeeeeee, 0x88888888dddddddd,
        0xa0000000dddddddd, 0xddddddddaaaaaaaa, 0xe0000000aaaaaaaa,
        0xeeeeeeeeeeeeeeee, 0xfffffffdeeeeeeee, 0xf0000000dddddddd,
        0x007fffffdddddddd, 0x003fffffaaaaaaaa, 0x001fffffaaaaaaaa,
        0x000fffff,         0x0007ffff,         0x0003ffff,
        0x0001ffff,         0x0000ffff,         0x00007fff,
        0x00003fff,         0x00001fff,         0x00000fff,
        0x000007ff,         0x000003ff,         0x000001ff,
        0x00003fffffffffff, 0x00001fffffffffff, 0x00000fffffffffff,
        0x000007ffffffffff, 0x000003ffffffffff, 0x000001ffffffffff,
        0x8000008000000000, 0x8000008000000001, 0x8000000000000400,
        0x8000000000000401};
    return std::vector<uint64_t>(&kValues[0], &kValues[arraysize(kValues)]);
  }

  static const std::vector<double> nan_vector(size_t limit = 0) {
    static const double nan = std::numeric_limits<double>::quiet_NaN();
    static const double values[] = {-nan,               -V8_INFINITY * -0.0,
                                    -V8_INFINITY * 0.0, V8_INFINITY * -0.0,
                                    V8_INFINITY * 0.0,  nan};
    return std::vector<double>(&values[0], &values[arraysize(values)]);
  }

  static const std::vector<uint32_t> ror_vector() {
    static const uint32_t kValues[31] = {
        1,  2,  3,  4,  5,  6,  7,  8,  9,  10, 11, 12, 13, 14, 15, 16,
        17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31};
    return std::vector<uint32_t>(&kValues[0], &kValues[arraysize(kValues)]);
  }
};

// Helper macros that can be used in FOR_INT32_INPUTS(i) { ... *i ... }
// Watch out, these macros aren't hygenic; they pollute your scope. Thanks STL.
#define FOR_INPUTS(ctype, itype, var)                           \
  std::vector<ctype> var##_vec = ValueHelper::itype##_vector(); \
  for (std::vector<ctype>::iterator var = var##_vec.begin();    \
       var != var##_vec.end(); ++var)

#define FOR_INT32_INPUTS(var) FOR_INPUTS(int32_t, int32, var)
#define FOR_UINT32_INPUTS(var) FOR_INPUTS(uint32_t, uint32, var)
#define FOR_INT64_INPUTS(var) FOR_INPUTS(int64_t, int64, var)
#define FOR_UINT64_INPUTS(var) FOR_INPUTS(uint64_t, uint64, var)
#define FOR_FLOAT32_INPUTS(var) FOR_INPUTS(float, float32, var)
#define FOR_FLOAT64_INPUTS(var) FOR_INPUTS(double, float64, var)

#define FOR_INT32_SHIFTS(var) for (int32_t var = 0; var < 32; var++)

#define FOR_UINT32_SHIFTS(var) for (uint32_t var = 0; var < 32; var++)

}  // namespace compiler
}  // namespace internal
}  // namespace v8

#endif  // V8_CCTEST_COMPILER_VALUE_HELPER_H_