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e0ed2ab58e
Two analytics commands for combat-balance work. Where --info-creatures
gives totals + behavior counts, these give the distributions:
wowee_editor --info-creatures-by-faction $Z/creatures.json
Creatures by faction: ... (47 total)
faction count share
7 12 25.5%
14 29 61.7%
35 6 12.8%
(factions: 7=human, 14=monster, 35=neutral, etc.)
wowee_editor --info-creatures-by-level $Z/creatures.json
Creatures by level: ... (47 total)
range : 5 to 32 (avg 14.2)
level count bar
5 4 ████████████████████████████████████████
6 3 ██████████████████████████████
...
30 1 ██████████
Faction histogram catches single-faction zones (one giant melee) and
mixed-faction tuning issues. Level histogram catches difficulty-curve
problems (cluster at 5, gap, cluster at 30) and outlier spawns
(level-60 boss accidentally placed in starter area).
ASCII bar chart for level distribution since gameplay tuning is
visual — '60% of mobs are levels 8-12 with a long tail' is more
intuitive as a bar than as numbers. Bars scale to longest bin so
small zones still get usable visualization.
JSON mode emits per-faction / per-level records for dashboards.
Verified on a 4-creature seed (3×faction-14 + 1×faction-35; levels
7/8/12/30): faction percentages and level range/avg both correct.
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| .. | ||
| asset_extract | ||
| auth_login_probe | ||
| auth_probe | ||
| blp_convert | ||
| dbc_to_csv | ||
| editor | ||
| asset_pipeline_gui.py | ||
| backup_assets.sh | ||
| diff_classic_turtle_opcodes.py | ||
| gen_opcode_registry.py | ||
| generate_ffx_sdk_vk_permutations.sh | ||
| m2_viewer.py | ||
| opcode_map_utils.py | ||
| validate_opcode_maps.py | ||