From: Christian Heller Date: Sun, 13 Mar 2016 10:30:22 +0000 (+0100) Subject: TCE: Minor refactorings, fixes; AI: treat unknown fields as eatable. X-Git-Tag: tce~26 X-Git-Url: https://plomlompom.com/repos/%7B%7B%20web_path%20%7D%7D/decks?a=commitdiff_plain;h=14db6b45621e35493ec2ea4b07d39acd3f41a45b;p=plomrogue TCE: Minor refactorings, fixes; AI: treat unknown fields as eatable. --- diff --git a/libplomrogue.c b/libplomrogue.c index 68d3431..5fd86f8 100644 --- a/libplomrogue.c +++ b/libplomrogue.c @@ -567,6 +567,23 @@ extern uint8_t dijkstra_map() } +/* 7DRL/TCE addition: Init AI score map to all-eatable unknown fields. */ +extern uint8_t TCE_init_score_map() +{ + uint32_t map_size = maplength * maplength; + score_map = malloc(map_size * sizeof(uint16_t)); + if (!score_map) + { + return 1; + } + uint32_t i = 0; + for (; i < map_size; i++) + { + score_map[i] = UINT16_MAX - 1; + } + return 0; +} + /* 7DRL/TCE addition: movement cost map setting. */ static uint8_t * TCE_move_cost_map = NULL; extern uint8_t TCE_set_movement_cost_map(char * mem_map) @@ -627,7 +644,7 @@ extern uint8_t TCE_dijkstra_map_with_movement_cost() { uint16_t score = score_map[pos]; uint8_t mov_cost = TCE_move_cost_map[pos]; - if (mov_cost > 0 && score > i_scans) + if (score <= max_score && mov_cost > 0 && score > i_scans) { get_neighbor_scores(pos, max_score, neighbors); min_neighbor = max_score; @@ -735,7 +752,16 @@ extern void write_score_map() { for (x = 0; x < maplength; x++) { - fprintf(f, "%2X", score_map[y * maplength + x] % 256); + uint32_t pos = y * maplength + x; + uint16_t val = score_map[pos]; + if (val == UINT16_MAX) + { + fprintf(f, " Z"); + } else if (val == UINT16_MAX - 1) { + fprintf(f, " Y"); + } else { + fprintf(f, "%2X", score_map[pos] % 256); + } } fprintf(f, "\n"); } diff --git a/plugins/server/TheCrawlingEater.py b/plugins/server/TheCrawlingEater.py index b97328d..082a05b 100644 --- a/plugins/server/TheCrawlingEater.py +++ b/plugins/server/TheCrawlingEater.py @@ -490,7 +490,9 @@ def get_dir_to_target(t, target): raise RuntimeError("No score map allocated for set_map_score().") def set_movement_cost_map(): - memmap = c_pointer_to_bytearray(t["T_MEMMAP"]) + copy_memmap = t["T_MEMMAP"][:] + copy_memmap.replace(b' ', b'4') + memmap = c_pointer_to_bytearray(copy_memmap) if libpr.TCE_set_movement_cost_map(memmap): raise RuntimeError("No movement cost map allocated for " "set_movement_cost_map().") @@ -520,20 +522,25 @@ def get_dir_to_target(t, target): return exists(pos for pos in range(mapsize) if t["T_MEMMAP"][pos] == ord("0") if t["fovmap"] != ord("v")) - elif target == "space" and t["T_MEMMAP"] and t["fovmap"]: + elif target == "space_big" and t["T_MEMMAP"] and t["fovmap"]: return exists(pos for pos in range(mapsize) if ord("0") <= t["T_MEMMAP"][pos] <= ord("2") if (t["fovmap"] != ord("v") or world_db["terrain_fullness"](pos) < 5)) elif target in {"hunt", "flee"} and t["fovmap"]: return exists(Thing for - Thing in animates_in_fov(world_db["MAP_LENGTH"])) + Thing in animates_in_fov(world_db["MAP_LENGTH"])) \ + or exists(pos for pos in range(mapsize) + if world_db["soundmap"][pos] > ord("0") + if t["fovmap"][pos] != ord("v")) return False def init_score_map(): - test = libpr.init_score_map() - set_movement_cost_map() mapsize = world_db["MAP_LENGTH"] ** 2 + test = libpr.TCE_init_score_map() + [set_map_score(pos, 65535) for pos in range(mapsize) + if chr(t["T_MEMMAP"][pos]) in "5-"] + set_movement_cost_map() if test: raise RuntimeError("Malloc error in init_score_map().") if target == "food" and t["T_MEMMAP"]: @@ -558,6 +565,9 @@ def get_dir_to_target(t, target): elif target in {"hunt", "flee"}: [set_map_score(Thing["pos"], 0) for Thing in animates_in_fov(world_db["MAP_LENGTH"])] + [set_map_score(pos, 0) for pos in range(mapsize) + if world_db["soundmap"][pos] > ord("0") + if t["fovmap"][pos] != ord("v")] def rand_target_dir(neighbors, cmp, dirs): candidates = [] @@ -686,19 +696,19 @@ def ai(t): return elif need[0] in {"safe_pee", "safe_drop"}: action_name = need[0][len("safe_"):] - if world_db["terrain_fullness"](t["pos"]) < 4: + if world_db["terrain_fullness"](t["pos"]) <= 3: t["T_COMMAND"] = thing_action_id(action_name) return - else: - test = world_db["get_dir_to_target"](t, "space") - if test[0]: - if (not test[1] < 5) and \ - world_db["terrain_fullness"](t["pos"]) < 5: - t["T_COMMAND"] = thing_action_id(action_name) - return - if t["T_STOMACH"] < 32 and \ - world_db["get_dir_to_target"](t, "food")[0]: + test = world_db["get_dir_to_target"](t, "space") + if test[0]: + if test[1] < 5: return + elif world["terrain_fullness"](t["pos"]) < 5: + t["T_COMMAND"] = thing_action_id(action_name) + return + if t["T_STOMACH"] < 32 and \ + world_db["get_dir_to_target"](t, "food")[0]: + return continue if need[0] in {"fluid_certain", "fluid_potential", "food"}: if world_db["get_dir_to_target"](t, need[0])[0]: