def cast(k, v, pytype, ctype, default):
try:
# if default is None:
# raise TypeError
val = ctype(pytype(v))
except KeyError:
val = ctype(default)
cout.cout_wrap("--- The variable " + k + " has no given value, using the default " + default, 2)
except TypeError:
raise exceptions.NoDefaultValueException(k)
except ValueError:
val = ctype(v.value)
return val
def to_custom_types(dictionary, types, default):
for k, v in types.items():
if v == 'int':
try:
dictionary[k] = cast(k, dictionary[k], int, ct.c_int,
default[k])
except KeyError:
if default[k] is None:
raise exceptions.NoDefaultValueException(k)
dictionary[k] = cast(k, default[k], int, ct.c_int, default[k])
elif v == 'float':
try:
dictionary[k] = cast(k, dictionary[k], float, ct.c_double,
default[k])
except KeyError:
if default[k] is None:
raise exceptions.NoDefaultValueException(k)
dictionary[k] = cast(k, default[k], float, ct.c_double,
default[k])
elif v == 'str':
try:
dictionary[k] = cast(k, dictionary[k], str, str, default[k])
except KeyError:
if default[k] is None:
raise exceptions.NoDefaultValueException(k)
dictionary[k] = cast(k, default[k], eval(v), eval(v),
default[k])
elif v == 'bool':
try:
dictionary[k] = cast(k, dictionary[k], str2bool, ct.c_bool,
default[k])
except KeyError:
if default[k] is None:
raise exceptions.NoDefaultValueException(k)
dictionary[k] = cast(k, default[k], str2bool, ct.c_bool,
default[k])
elif v == 'list(str)':
try:
# if isinstance(dictionary[k], list):
# continue
# dictionary[k] = dictionary[k].split(',')
# getting rid of leading and trailing spaces
dictionary[k] = list(map(lambda x: x.strip(), dictionary[k]))
except KeyError:
if default[k] is None:
raise exceptions.NoDefaultValueException(k)
dictionary[k] = default[k].copy()
elif v == 'list(float)':
try:
if isinstance(dictionary[k], np.ndarray):
continue
if isinstance(dictionary[k], list):
for i in range(len(dictionary[k])):
dictionary[k][i] = float(dictionary[k][i])
dictionary[k] = np.array(dictionary[k])
continue
# dictionary[k] = dictionary[k].split(',')
# # getting rid of leading and trailing spaces
# dictionary[k] = list(map(lambda x: x.strip(), dictionary[k]))
if dictionary[k].find(',') < 0:
dictionary[k] = np.fromstring(dictionary[k].strip('[]'),
sep=' ',
dtype=ct.c_double)
else:
dictionary[k] = np.fromstring(dictionary[k].strip('[]'),
sep=',',
dtype=ct.c_double)
except KeyError:
if default[k] is None:
raise exceptions.NoDefaultValueException(k)
dictionary[k] = default[k].copy()
elif v == 'dict':
if not isinstance(dictionary[k], dict):
raise TypeError
def to_custom_types(dictionary, types, default, options=dict(), no_ctype=False):
for k, v in types.items():
if v == 'int':
if no_ctype:
data_type = int
else:
data_type = ct.c_int
try:
dictionary[k] = cast(k, dictionary[k], int, data_type, default[k])
except KeyError:
if default[k] is None:
raise exceptions.NoDefaultValueException(k)
dictionary[k] = cast(k, default[k], int, data_type, default[k])
notify_default_value(k, dictionary[k])
elif v == 'float':
if no_ctype:
data_type = float
else:
data_type = ct.c_double
try:
dictionary[k] = cast(k, dictionary[k], float, data_type, default[k])
except KeyError:
if default[k] is None:
raise exceptions.NoDefaultValueException(k)
dictionary[k] = cast(k, default[k], float, data_type, default[k])
notify_default_value(k, dictionary[k])
elif v == 'str':
try:
dictionary[k] = cast(k, dictionary[k], str, str, default[k])
except KeyError:
if default[k] is None:
raise exceptions.NoDefaultValueException(k)
dictionary[k] = cast(k, default[k], eval(v), eval(v), default[k])
notify_default_value(k, dictionary[k])
elif v == 'bool':
if no_ctype:
data_type = bool
else:
data_type = ct.c_bool
try:
dictionary[k] = cast(k, dictionary[k], str2bool, data_type, default[k])
except KeyError:
if default[k] is None:
raise exceptions.NoDefaultValueException(k)
dictionary[k] = cast(k, default[k], str2bool, data_type, default[k])
notify_default_value(k, dictionary[k])
elif v == 'list(str)':
try:
# if isinstance(dictionary[k], list):
# continue
# dictionary[k] = dictionary[k].split(',')
# getting rid of leading and trailing spaces
dictionary[k] = list(map(lambda x: x.strip(), dictionary[k]))
except KeyError:
if default[k] is None:
raise exceptions.NoDefaultValueException(k)
dictionary[k] = default[k].copy()
notify_default_value(k, dictionary[k])
elif v == 'list(dict)':
try:
# if isinstance(dictionary[k], list):
# continue
# dictionary[k] = dictionary[k].split(',')
# getting rid of leading and trailing spaces
for i in range(len(dictionary[k])):
dictionary[k][i] = ast.literal_eval(dictionary[k][i])
except KeyError:
if default[k] is None:
raise exceptions.NoDefaultValueException(k)
dictionary[k] = default[k].copy()
notify_default_value(k, dictionary[k])
elif v == 'list(float)':
try:
dictionary[k]
except KeyError:
if default[k] is None:
raise exceptions.NoDefaultValueException(k)
dictionary[k] = default[k].copy()
notify_default_value(k, dictionary[k])
if isinstance(dictionary[k], np.ndarray):
continue
if isinstance(dictionary[k], list):
for i in range(len(dictionary[k])):
dictionary[k][i] = float(dictionary[k][i])
dictionary[k] = np.array(dictionary[k])
continue
# dictionary[k] = dictionary[k].split(',')
# # getting rid of leading and trailing spaces
# dictionary[k] = list(map(lambda x: x.strip(), dictionary[k]))
if dictionary[k].find(',') < 0:
dictionary[k] = np.fromstring(dictionary[k].strip('[]'), sep=' ', dtype=ct.c_double)
else:
dictionary[k] = np.fromstring(dictionary[k].strip('[]'), sep=',', dtype=ct.c_double)
elif v == 'list(int)':
try:
dictionary[k]
except KeyError:
if default[k] is None:
raise exceptions.NoDefaultValueException(k)
dictionary[k] = default[k].copy()
notify_default_value(k, dictionary[k])
if isinstance(dictionary[k], np.ndarray):
continue
if isinstance(dictionary[k], list):
for i in range(len(dictionary[k])):
dictionary[k][i] = int(dictionary[k][i])
dictionary[k] = np.array(dictionary[k])
continue
# dictionary[k] = dictionary[k].split(',')
# # getting rid of leading and trailing spaces
# dictionary[k] = list(map(lambda x: x.strip(), dictionary[k]))
if dictionary[k].find(',') < 0:
dictionary[k] = np.fromstring(dictionary[k].strip('[]'), sep=' ').astype(ct.c_int)
else:
dictionary[k] = np.fromstring(dictionary[k].strip('[]'), sep=',').astype(ct.c_int)
elif v == 'list(complex)':
try:
dictionary[k]
except KeyError:
if default[k] is None:
raise exceptions.NoDefaultValueException(k)
dictionary[k] = default[k].copy()
notify_default_value(k, dictionary[k])
if isinstance(dictionary[k], np.ndarray):
continue
if isinstance(dictionary[k], list):
for i in range(len(dictionary[k])):
dictionary[k][i] = float(dictionary[k][i])
dictionary[k] = np.array(dictionary[k])
continue
# dictionary[k] = dictionary[k].split(',')
# # getting rid of leading and trailing spaces
# dictionary[k] = list(map(lambda x: x.strip(), dictionary[k]))
if dictionary[k].find(',') < 0:
dictionary[k] = np.fromstring(dictionary[k].strip('[]'), sep=' ').astype(complex)
else:
dictionary[k] = np.fromstring(dictionary[k].strip('[]'), sep=',').astype(complex)
elif v == 'dict':
try:
if not isinstance(dictionary[k], dict):
raise TypeError
except KeyError:
if default[k] is None:
raise exceptions.NoDefaultValueException(k)
dictionary[k] = default[k].copy()
notify_default_value(k, dictionary[k])
else:
raise TypeError('Variable %s has an unknown type (%s) that cannot be casted' % (k, v))
check_settings(dictionary, types, options)