def spec_parse_cost(value):
spec.validate_must_be_list(value)
if len(value) != 3: # pragma: no cover
raise ValueError(
"Cost must have exactly 3 values (CPU, money, time), got %d items (value: %s)"
% (len(value), repr(value)))
return [int(x) for x in value]
def parse_detect_chance(parsed_value):
validate_must_be_list(parsed_value)
chance_dict = {}
for chance_str in parsed_value:
key, value = chance_str.split(":")
chance_dict[key] = int(value)
return chance_dict
def convert_item_qualities(raw_value):
validate_must_be_list(raw_value)
if len(raw_value) % 2 == 1:
raise ValueError("item quality list must have pair elements, got %d (value: %s)"
% (len(raw_value), repr(raw_value)))
# Create a dict from the list with impair as string key and pair as integer value
return {key: int(value) for key, value in zip(*[iter(raw_value)]*2)}
def position_data_parser(raw_value):
validate_must_be_list(raw_value)
abs = False
if len(raw_value) == 3:
if raw_value[0] != 'absolute':
raise ValueError('First element for a 3-element position data must be "absolute", got: %s' % raw_value[0])
abs = True
_, x, y = raw_value
elif len(raw_value) == 2:
x, y = raw_value
else:
raise ValueError("Location position data must be exactly 2 or 3 elements")
return abs, int(x) / -100., int(y) / -100.
