def convert_type_list_to_dict(self, types):
names = self._argspec.argument_names
if len(types) > len(names):
raise DataError('Type information given to %d argument%s but '
'keyword has only %d argument%s.'
% (len(types), s(types), len(names), s(names)))
return {name: value for name, value in zip(names, types) if value}
def _replace_variables(self, data):
values = super(ForInZipRunner, self)._replace_variables(data)
if len(data.variables) == len(data.values):
return values
raise DataError('FOR IN ZIP expects an equal number of variables and '
'iterables. Got %d variable%s and %d iterable%s.'
% (len(data.variables), s(data.variables),
len(data.values), s(data.values)))
def validate_type_dict(self, types):
# 'return' isn't used for anything yet but it may be shown by Libdoc
# in the future. Trying to be forward compatible.
names = set(self._argspec.argument_names + ['return'])
extra = [t for t in types if t not in names]
if extra:
raise DataError('Type information given to non-existing '
'argument%s %s.'
% (s(extra), seq2str(sorted(extra))))
return types
def _raise_wrong_variable_count(self, variables, values):
raise DataError('Number of FOR IN ENUMERATE loop values should be '
'multiple of its variables (excluding the index). '
'Got %d variable%s but %d value%s.'
% (variables, s(variables), values, s(values)))
def _raise_wrong_variable_count(self, variables, values):
raise DataError('Number of FOR loop values should be multiple of '
'its variables. Got %d variables but %d value%s.'
% (variables, values, s(values)))