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
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
|
#include "CourseVtx.h"
#include "Companion.h"
#include "utils/Decompressor.h"
#include <cstdint>
#define NUM(x) std::dec << std::setfill(' ') << std::setw(6) << x
#define COL(c) "0x" << std::hex << std::setw(2) << std::setfill('0') << c
ExportResult MK64::CourseVtxHeaderExporter::Export(std::ostream& write, std::shared_ptr<IParsedData> raw,
std::string& entryName, YAML::Node& node, std::string* replacement) {
const auto symbol = GetSafeNode(node, "symbol", entryName);
if (Companion::Instance->IsOTRMode()) {
write << "static const ALIGN_ASSET(2) char " << symbol << "[] = \"__OTR__" << (*replacement) << "\";\n\n";
return std::nullopt;
}
write << "extern CourseVtx " << symbol << "[];\n";
return std::nullopt;
}
ExportResult MK64::CourseVtxCodeExporter::Export(std::ostream& write, std::shared_ptr<IParsedData> raw,
std::string& entryName, YAML::Node& node, std::string* replacement) {
auto vtx = std::static_pointer_cast<CourseVtxData>(raw)->mVtxs;
const auto symbol = GetSafeNode(node, "symbol", entryName);
const auto offset = GetSafeNode<uint32_t>(node, "offset");
write << "CourseVtx " << symbol << "[] = {\n";
for (int i = 0; i < vtx.size(); ++i) {
auto v = vtx[i];
auto x = v.ob[0];
auto y = v.ob[1];
auto z = v.ob[2];
auto tc1 = v.tc[0];
auto tc2 = v.tc[1];
auto c1 = (uint16_t)v.cn[0];
auto c2 = (uint16_t)v.cn[1];
auto c3 = (uint16_t)v.cn[2];
auto c4 = (uint16_t)v.cn[3];
if (i <= vtx.size() - 1) {
write << fourSpaceTab;
}
// {{{ x, y, z }, { tc1, tc2 }, { c1, c2, c3, c4 }}}
write << "{{{" << NUM(x) << ", " << NUM(y) << ", " << NUM(z) << "}, {" << NUM(tc1) << ", " << NUM(tc2) << "}, {"
<< COL(c1) << ", " << COL(c2) << ", " << COL(c3) << ", " << COL(c4) << "}}},\n";
}
write << "};\n";
return offset + vtx.size() * sizeof(CourseVtx);
}
ExportResult MK64::CourseVtxBinaryExporter::Export(std::ostream& write, std::shared_ptr<IParsedData> raw,
std::string& entryName, YAML::Node& node, std::string* replacement) {
auto vtx = std::static_pointer_cast<CourseVtxData>(raw);
auto writer = LUS::BinaryWriter();
WriteHeader(writer, Torch::ResourceType::CourseVertex, 0);
writer.Write((uint32_t)vtx->mVtxs.size());
for (auto v : vtx->mVtxs) {
writer.Write(v.ob[0]);
writer.Write(v.ob[1]);
writer.Write(v.ob[2]);
writer.Write(v.tc[0]);
writer.Write(v.tc[1]);
writer.Write(v.cn[0]);
writer.Write(v.cn[1]);
writer.Write(v.cn[2]);
writer.Write(v.cn[3]);
}
writer.Finish(write);
return std::nullopt;
}
std::optional<std::shared_ptr<IParsedData>> MK64::CourseVtxFactory::parse(std::vector<uint8_t>& buffer,
YAML::Node& node) {
auto count = GetSafeNode<size_t>(node, "count");
auto [_, segment] = Decompressor::AutoDecode(node, buffer, count * sizeof(CourseVtx));
LUS::BinaryReader reader(segment.data, segment.size);
// Limit count to actual available vertices in the decompressed data
auto actualCount = std::min(count, segment.size / sizeof(CourseVtx));
reader.SetEndianness(Torch::Endianness::Big);
std::vector<VtxRaw> vertices;
for (size_t i = 0; i < actualCount; i++) {
auto x = reader.ReadInt16();
auto y = reader.ReadInt16();
auto z = reader.ReadInt16();
auto tc1 = reader.ReadInt16();
auto tc2 = reader.ReadInt16();
auto cn1 = reader.ReadUByte();
auto cn2 = reader.ReadUByte();
auto cn3 = reader.ReadUByte();
auto cn4 = reader.ReadUByte();
uint16_t flags = cn1 & 3;
flags |= (cn2 << 2) & 0xC;
vertices.push_back(
VtxRaw({ { x, y, z }, flags, { tc1, tc2 }, { (uint8_t)(cn1 & 0xfc), (uint8_t)(cn2 & 0xfc), cn3, 0xff } }));
}
return std::make_shared<VtxData>(vertices);
}
|
