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Expose a vocabulary[] array in newdb.c.

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This commit is contained in:
Jason S. Ninneman 2017-06-25 20:18:39 -07:00
parent 7ee571d832
commit 4ac41aa148
1 changed files with 30 additions and 3 deletions
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33
newdungeon.py
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@ -88,6 +88,12 @@ typedef struct {{
const char* hint;
}} hint_t;
typedef struct {{
const char* word;
const int type;
const int value;
}} vocabulary_t;
extern const location_t locations[];
extern const object_description_t object_descriptions[];
extern const const char* arbitrary_messages[];
@ -96,6 +102,7 @@ extern const turn_threshold_t turn_thresholds[];
extern const obituary_t obituaries[];
extern const hint_t hints[];
extern long conditions[];
extern const vocabulary_t vocabulary[];
#define NLOCATIONS {}
#define NOBJECTS {}
@ -159,6 +166,10 @@ long conditions[] = {{
{}
}};
vocabulary_t vocabulary[] {{
{}
}};
/* end */
"""
@ -365,12 +376,11 @@ def get_condbits(locations):
cnd_str += " " + line + ",\t// " + name + "\n"
return cnd_str
def recompose(word):
def recompose(type_word, value):
"Compose the internal code for a vocabulary word from its YAML entry"
parts = ("motion", "action", "object", "special")
try:
attrs = db["vocabulary"][word]
return attrs["value"] + 1000 * parts.index(attrs["type"])
return value + 1000 * parts.index(type_word)
except KeyError:
sys.stderr.write("dungeon: %s is not a known word\n" % word)
sys.exit(1)
@ -378,6 +388,22 @@ def recompose(word):
sys.stderr.write("%s is not a known word classifier" % attrs["type"])
sys.exit(1)
def get_vocabulary(vocabulary):
template = """ {{
.word = {},
.type = {},
.value = {},
}},
"""
voc_str = ""
for vocab in vocabulary:
word = make_c_string(vocab["word"])
type_code = recompose(vocab["type"], vocab["value"])
value = vocab["value"]
voc_str += template.format(word, type_code, value)
voc_str = voc_str[:-1] # trim trailing newline
return voc_str
if __name__ == "__main__":
with open(yaml_name, "r") as f:
db = yaml.load(f)
@ -394,6 +420,7 @@ if __name__ == "__main__":
get_obituaries(db["obituaries"]),
get_hints(db["hints"], db["arbitrary_messages"]),
get_condbits(db["locations"]),
get_vocabulary(db["vocabulary"]),
)
h = h_template.format(