def test_index():
idx1 = index.getIndex()
idx2 = index.getIndex()
newCache = index.IndexCache()
assert len(index.c.INCLUDED_KEYS) == 9
x = index.c.InvalidMapSelection()
try:
raise index.c.InvalidMapSelection("test")
assert False
except:
assert True
assert isinstance(index.c.MAPS_FOLDER, str)
assert isinstance(index.c.SC2_MAP_EXT, str)
def filterMapAttrs(records=getIndex(), **tags):
"""matches available maps if their attributes match as specified"""
if len(tags) == 0:
return records # otherwise if unspecified, all given records match
ret = []
for record in records: # attempt to match attributes
if matchRecordAttrs(record, tags):
ret.append(record)
return ret
def filterMapNames(regexText,
records=getIndex(),
excludeRegex=False,
closestMatch=True):
"""matches each record against regexText according to parameters
NOTE: the code could be written more simply, but this is loop-optimized to
scale better with a large number of map records"""
bestScr = 99999 # a big enough number to not be a valid file system path
regex = re.compile(regexText, flags=re.IGNORECASE)
ret = []
if excludeRegex: # match only records that do NOT contain regex
if regexText and closestMatch: # then maps with fewer characters are better matches
for m in list(records):
if re.search(regex, m.name):
continue # map must NOT contain specified phrase
score = len(
m.name
) # the map with the smallest map name means it has the largets matching character percentage
if score == bestScr:
bestScr = score
ret.append(m)
elif score < bestScr: # new set of best maps
bestScr = score
ret = [m]
else: # all maps that match regex are included
for m in list(records):
if re.search(regex, m.name):
continue # map must NOT contain specified phrase
ret.append(m) # any mapname containing regex matches
else: # only match records that contain regex
if regexText and closestMatch: # then maps with fewer characters are better matches
for m in records:
if not re.search(regex, m.name):
continue # map must contain specified phrase if excludeRegex==True
score = len(
m.name
) # the map with the smallest map name means it has the largets matching character percentage
if score == bestScr:
bestScr = score
ret.append(m)
elif score < bestScr: # new group of best maps
bestScr = score
ret = [m]
else: # all maps that match regex are included
for m in records:
if not re.search(regex, m.name):
continue # map must contain specified phrase if excludeRegex==True
ret.append(m) # any mapname containing regex matches
return ret