def _validate_values(self, values):
"""
Method ensures that the passed value(s) can be cast to the same dtype, i.e. that
associated with this property or the inferred dtype of the first entry of the values list.
"""
for v in values:
try:
dtypes.get(v, self.dtype)
except Exception as ex:
return False
return True
def _validate_values(self, values):
"""
Method ensures that the passed value(s) can be cast to the
same dtype, i.e. that associated with this property or the
inferred dtype of the first entry of the values list.
"""
for v in values:
try:
dtypes.get(v, self.dtype)
except Exception:
return False
return True
def __init__(self, data=None, uncertainty=None, unit=None, dtype=None, definition=None, reference=None,
filename=None, encoder=None, checksum=None, comment=None, value=None):
if data is None and value is None:
raise TypeError("either data or value has to be set")
if data is not None and value is not None:
raise TypeError("only one of data or value can be set")
self._property = None
self._unit = unit
self._uncertainty = uncertainty
self._dtype = dtype
self._definition = definition
self._reference = reference
self._filename = filename
self._comment = comment
self._encoder = encoder
if value is not None:
# assign value directly (through property would raise a change-event)
self._value = dtypes.get(value, self._dtype, self._encoder)
elif data is not None:
if dtype is None:
self._dtype = dtypes.infer_dtype(data)
self._value = data
self._checksum_type = None
if checksum is not None:
self.checksum = checksum
def pseudo_values(self, new_string):
"""
First, try to check if the new value fits in the parent property's
dtype. If it does, then update the value.
"""
prop_dtype = self.parent.dtype
new_value = dtypes.get(new_string, prop_dtype)
self.parent._value[self._index] = new_value
def dtype(self, new_type):
# check if this is a valid type
if not dtypes.valid_type(new_type):
raise AttributeError("'%s' is not a valid type." % new_type)
# we convert the value if possible
old_type = self._dtype
old_value = dtypes.set(self._value, self._dtype)
try:
new_value = dtypes.get(old_value, new_type)
except:
# cannot convert, try the other way around
try:
old_value = dtypes.set(self._value, new_type)
new_value = dtypes.get(old_value, new_type)
except:
#doesn't work either, therefore refuse
raise ValueError("cannot convert '%s' from '%s' to '%s'" % (self.value, old_type, new_type))
self._value = new_value
self._dtype = new_type
def dtype(self, new_type):
# check if this is a valid type
if not dtypes.valid_type(new_type):
raise AttributeError("'%s' is not a valid type." % new_type)
# we convert the value if possible
old_type = self._dtype
old_value = dtypes.set(self._value, self._dtype, self._encoder)
try:
new_value = dtypes.get(old_value, new_type, self._encoder)
except:
# cannot convert, try the other way around
try:
old_value = dtypes.set(self._value, new_type, self._encoder)
new_value = dtypes.get(old_value, new_type, self._encoder)
except:
#doesn't work either, therefore refuse
raise ValueError("cannot convert '%s' from '%s' to '%s'" % (self.value, old_type, new_type))
self._value = new_value
self._dtype = new_type
def value(self, new_value):
if new_value is None:
return
if isinstance(new_value, str):
if new_value[0] == "[" and new_value[-1] == "]":
new_value = new_value[1:-1].split(",")
if not isinstance(new_value, list):
new_value = [new_value]
if len(new_value) == 0:
return
if self._dtype is None:
self._dtype = dtypes.infer_dtype(new_value[0])
if not self._validate_values(new_value):
raise ValueError("odml.Property.value: passed values are not of consistent type!")
self._value = [dtypes.get(v, self.dtype) for v in new_value]
def value(self, new_value):
if new_value is None:
return
if isinstance(new_value, str):
if new_value[0] == "[" and new_value[-1] == "]":
new_value = new_value[1:-1].split(",")
if not isinstance(new_value, list):
new_value = [new_value]
if len(new_value) == 0:
return
if self._dtype is None:
self._dtype = dtypes.infer_dtype(new_value[0])
if not self._validate_values(new_value):
raise ValueError("odml.Property.value: passed values are not of "
"consistent type!")
self._value = [dtypes.get(v, self.dtype) for v in new_value]
def __init__(self, data=None, uncertainty=None, unit=None, dtype=None,
definition=None, reference=None, comment=None, value=None):
if data is None and value is None:
raise TypeError("either data or value has to be set")
if data is not None and value is not None:
raise TypeError("only one of data or value can be set")
self._property = None
self._unit = unit
self._uncertainty = uncertainty
self._dtype = dtype
self._definition = definition
self._reference = reference
self._comment = comment
if value is not None:
# assign value directly (through property would raise a change-event)
self._value = dtypes.get(value, self._dtype)
elif data is not None:
if dtype is None:
self._dtype = dtypes.infer_dtype(data)
self._value = data
def value(self, new_string):
self._value = dtypes.get(new_string, self._dtype)
def test_dtype_none(self):
self.assertEqual(typ.get({'name': 'Marie'}), "{'name': 'Marie'}")
def value(self, new_string):
self._value = dtypes.get(new_string, self._dtype, self._encoder)
def date(self, new_value):
self._date = dtypes.get(new_value, "date")
def test_dtype_none(self):
self.assertEqual(typ.get({'name': 'Marie'}), "{'name': 'Marie'}")
