Show table
| File Type | Total Resources | Correct Paths | Correct Percentage | Hints | Hint Percentage |
|---|---|---|---|---|---|
| AIBB | 1 | 1 | 100.00% | 0 | 0.00% |
| AIBX | 1 | 1 | 100.00% | 0 | 0.00% |
| AIBZ | 5 | 5 | 100.00% | 0 | 0.00% |
| AIRG | 53 | 53 | 100.00% | 0 | 0.00% |
| ALOC | 26934 | 16882 | 62.68% | 0 | 0.00% |
| ASEB | 5882 | 3361 | 57.14% | 0 | 0.00% |
| ASET | 13726 | 7884 | 57.44% | 0 | 0.00% |
| ASVA | 285 | 267 | 93.68% | 9 | 3.16% |
| ATMD | 17918 | 6495 | 36.25% | 0 | 0.00% |
| BLOB | 1 | 1 | 100.00% | 0 | 0.00% |
| BMSK | 59 | 38 | 64.41% | 0 | 0.00% |
| BORG | 7231 | 2811 | 38.87% | 0 | 0.00% |
| BOXC | 41 | 41 | 100.00% | 0 | 0.00% |
| CBLU | 2694 | 2694 | 100.00% | 0 | 0.00% |
| CLNG | 4 | 0 | 0.00% | 0 | 0.00% |
| CPPT | 2694 | 2694 | 100.00% | 0 | 0.00% |
| CRMD | 58 | 51 | 87.93% | 1 | 1.72% |
| DITL | 4 | 0 | 0.00% | 0 | 0.00% |
| DLGE | 49784 | 46785 | 93.98% | 2371 | 4.76% |
| DSWB | 5 | 0 | 0.00% | 5 | 100.00% |
| ECPB | 2861 | 1330 | 46.49% | 0 | 0.00% |
| ECPT | 2861 | 1330 | 46.49% | 0 | 0.00% |
| ENUM | 2 | 1 | 50.00% | 1 | 50.00% |
| ERES | 407 | 268 | 65.85% | 3 | 0.74% |
| FXAC | 4 | 4 | 100.00% | 0 | 0.00% |
| FXAS | 357642 | 354028 | 98.99% | 0 | 0.00% |
| GFXF | 43 | 43 | 100.00% | 0 | 0.00% |
| GFXI | 12268 | 9669 | 78.81% | 1252 | 10.21% |
| GFXV | 327 | 122 | 37.31% | 196 | 59.94% |
| GIDX | 1 | 1 | 100.00% | 0 | 0.00% |
| HIKC | 2 | 2 | 100.00% | 0 | 0.00% |
| JSON | 3189 | 1926 | 60.40% | 1003 | 31.45% |
| LINE | 33243 | 26005 | 78.23% | 1932 | 5.81% |
| LOCM | 18 | 16 | 88.89% | 0 | 0.00% |
| LOCR | 10530 | 6797 | 64.55% | 504 | 4.79% |
| MATB | 5548 | 4931 | 88.88% | 573 | 10.33% |
| MATE | 1128 | 835 | 74.02% | 0 | 0.00% |
| MATI | 19011 | 17600 | 92.58% | 1114 | 5.86% |
| MATT | 5547 | 4930 | 88.88% | 573 | 10.33% |
| MJBA | 20681 | 7406 | 35.81% | 0 | 0.00% |
| MRTN | 2326 | 1079 | 46.39% | 0 | 0.00% |
| MRTR | 862 | 85 | 9.86% | 0 | 0.00% |
| NAVP | 81 | 79 | 97.53% | 1 | 1.23% |
| ORES | 9 | 7 | 77.78% | 0 | 0.00% |
| PREL | 144 | 144 | 100.00% | 0 | 0.00% |
| PRIM | 44287 | 22473 | 50.74% | 228 | 0.51% |
| REPO | 3 | 2 | 66.67% | 0 | 0.00% |
| RTLV | 145 | 0 | 0.00% | 137 | 94.48% |
| SCDA | 940 | 820 | 87.23% | 0 | 0.00% |
| SDEF | 507 | 503 | 99.21% | 0 | 0.00% |
| TBLU | 57132 | 41364 | 72.40% | 14996 | 26.25% |
| TELI | 65725 | 34674 | 52.76% | 0 | 0.00% |
| TEMP | 87478 | 60762 | 69.46% | 25320 | 28.94% |
| TEXD | 49703 | 38235 | 76.93% | 9067 | 18.24% |
| TEXT | 45017 | 33553 | 74.53% | 9745 | 21.65% |
| UICB | 477 | 475 | 99.58% | 0 | 0.00% |
| UICT | 477 | 475 | 99.58% | 0 | 0.00% |
| VIDB | 99 | 99 | 100.00% | 0 | 0.00% |
| VTXD | 11307 | 8695 | 76.90% | 0 | 0.00% |
| WBNK | 1550 | 935 | 60.32% | 0 | 0.00% |
| WMDA | 9 | 9 | 100.00% | 0 | 0.00% |
| WSGB | 144 | 133 | 92.36% | 11 | 7.64% |
| WSGT | 144 | 133 | 92.36% | 11 | 7.64% |
| WSWB | 62 | 48 | 77.42% | 14 | 22.58% |
| WSWT | 67 | 48 | 71.64% | 19 | 28.36% |
| WWEM | 385657 | 271541 | 70.41% | 85030 | 22.05% |
| WWES | 187149 | 187149 | 100.00% | 0 | 0.00% |
| WWEV | 27400 | 19882 | 72.56% | 6247 | 22.80% |
| WWFX | 18803 | 17234 | 91.66% | 0 | 0.00% |
| YSHP | 4 | 3 | 75.00% | 1 | 25.00% |
| Game | Bit Representation (Binary) |
|---|---|
| alphaJuly2015 | 0b00000001 |
| H1 | 0b00000010 |
| H2 | 0b00000100 |
| H3 | 0b00001000 |
| Beta | 0b00010000 |
| SA | 0b00100000 |
| Unknown | 0b01000000 |
| alphaJan2015 | 0b10000000 |
This repository contains four main scripts merge.py, add_paths.py, add_new_hashes.py and extract_hashes.py. They must be ran from the repository's root directory like python ./scripts/add_paths.py.
Generates hash_list.txt. Takes a version number as an argument and optionally --game (separate games by spaces if you wish to include multiple). Example: python ./scripts/merge.py 0 or python ./scripts/merge.py 0 --game h1 h2.
Adds paths to their assoicated hashes within the path folder's JSON files.
Defaults to reading a file called new_paths.txt in the repository's root directory which needs to contain data structured like this (resource type is optional, although it will make adding paths slightly slower if omitted):
000A4FB9B5FDAB19.WSGT,[assembly:/sound/wwise/exportedwwisedata/states/levelspecific_states/paris/fashionshowmusic_level_state.wwisestategroup].pc_entitytype
004B66043E12A8E3.WSGB,[assembly:/sound/wwise/exportedwwisedata/states/levelspecific_states/paris/fashionshowmusic_level_state.wwisestategroup].pc_entityblueprint
005EA1E72FC62DEC.WSGT,[assembly:/sound/wwise/exportedwwisedata/states/levelspecific_states/paris/paris_rain_puddle_state.wwisestategroup].pc_entitytype
0054C5081030A3D0.WSGB,[assembly:/sound/wwise/exportedwwisedata/states/levelspecific_states/paris/paris_rain_puddle_state.wwisestategroup].pc_entityblueprint
Adds new hashes into the JSON files.
Requires a new_hashes.txt file in the repository's root directory which contains data structured like:
000A4FB9B5FDAB19.WSGT:h3
004B66043E12A8E3.WSGB:h3
005EA1E72FC62DEC.WSGT:h3
0054C5081030A3D0.WSGB:h3
003B993A25498AE6.AIBB:h2,h3
Possible games are: alpha, h1, h2, h3, beta and sa.
Extracts a list of hashes from RPKG files into a text file. This is for use with the add_new_hashes.py script. Example: python .\scripts\extract_hashes.py --input C:\Epic\HITMAN3\Runtime --game h3.