Coverage for python/lsst/pex/config/dictField.py : 21%

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# # LSST Data Management System # Copyright 2008, 2009, 2010 LSST Corporation. # # This product includes software developed by the # LSST Project (http://www.lsst.org/). # # This program is free software: you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation, either version 3 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the LSST License Statement and # the GNU General Public License along with this program. If not, # see <http://www.lsstcorp.org/LegalNotices/>. #
""" Config-Internal mapping container Emulates a dict, but adds validation and provenance. """
self._field = field self._config = config self._dict = {} self._history = self._config._history.setdefault(self._field.name, []) self.__doc__ = field.doc if value is not None: try: for k in value: # do not set history per-item self.__setitem__(k, value[k], at=at, label=label, setHistory=False) except TypeError: msg = "Value %s is of incorrect type %s. Mapping type expected." % \ (value, _typeStr(value)) raise FieldValidationError(self._field, self._config, msg) if setHistory: self._history.append((dict(self._dict), at, label))
""" Read-only history """
return self._dict[k]
return len(self._dict)
return iter(self._dict)
return k in self._dict
if self._config._frozen: msg = "Cannot modify a frozen Config. "\ "Attempting to set item at key %r to value %s" % (k, x) raise FieldValidationError(self._field, self._config, msg)
# validate keytype k = _autocast(k, self._field.keytype) if type(k) != self._field.keytype: msg = "Key %r is of type %s, expected type %s" % \ (k, _typeStr(k), _typeStr(self._field.keytype)) raise FieldValidationError(self._field, self._config, msg)
# validate itemtype x = _autocast(x, self._field.itemtype) if self._field.itemtype is None: if type(x) not in self._field.supportedTypes and x is not None: msg = "Value %s at key %r is of invalid type %s" % (x, k, _typeStr(x)) raise FieldValidationError(self._field, self._config, msg) else: if type(x) != self._field.itemtype and x is not None: msg = "Value %s at key %r is of incorrect type %s. Expected type %s" % \ (x, k, _typeStr(x), _typeStr(self._field.itemtype)) raise FieldValidationError(self._field, self._config, msg)
# validate item using itemcheck if self._field.itemCheck is not None and not self._field.itemCheck(x): msg = "Item at key %r is not a valid value: %s" % (k, x) raise FieldValidationError(self._field, self._config, msg)
if at is None: at = getCallStack()
self._dict[k] = x if setHistory: self._history.append((dict(self._dict), at, label))
if self._config._frozen: raise FieldValidationError(self._field, self._config, "Cannot modify a frozen Config")
del self._dict[k] if setHistory: if at is None: at = getCallStack() self._history.append((dict(self._dict), at, label))
return repr(self._dict)
return str(self._dict)
if hasattr(getattr(self.__class__, attr, None), '__set__'): # This allows properties to work. object.__setattr__(self, attr, value) elif attr in self.__dict__ or attr in ["_field", "_config", "_history", "_dict", "__doc__"]: # This allows specific private attributes to work. object.__setattr__(self, attr, value) else: # We throw everything else. msg = "%s has no attribute %s" % (_typeStr(self._field), attr) raise FieldValidationError(self._field, self._config, msg)
""" Defines a field which is a mapping of values
Both key and item types are restricted to builtin POD types: (int, float, complex, bool, str)
Users can provide two check functions: dictCheck: used to validate the dict as a whole, and itemCheck: used to validate each item individually
For example to define a field which is a mapping from names to int values:
class MyConfig(Config): field = DictField( doc="example string-to-int mapping field", keytype=str, itemtype=int, default= {}) """
optional=optional, source=source) raise ValueError("'keytype' %s is not a supported type" % _typeStr(keytype)) raise ValueError("'itemtype' %s is not a supported type" % _typeStr(itemtype)) raise ValueError("'dictCheck' must be callable") raise ValueError("'itemCheck' must be callable")
""" DictField validation ensures that non-optional fields are not None, and that non-None values comply with dictCheck. Individual Item checks are applied at set time and are not re-checked. """ Field.validate(self, instance) value = self.__get__(instance) if value is not None and self.dictCheck is not None \ and not self.dictCheck(value): msg = "%s is not a valid value" % str(value) raise FieldValidationError(self, instance, msg)
if instance._frozen: msg = "Cannot modify a frozen Config. "\ "Attempting to set field to value %s" % value raise FieldValidationError(self, instance, msg)
if at is None: at = getCallStack() if value is not None: value = self.DictClass(instance, self, value, at=at, label=label) else: history = instance._history.setdefault(self.name, []) history.append((value, at, label))
instance._storage[self.name] = value
value = self.__get__(instance) return dict(value) if value is not None else None
"""Helper function for Config.compare; used to compare two fields for equality.
@param[in] instance1 LHS Config instance to compare. @param[in] instance2 RHS Config instance to compare. @param[in] shortcut If True, return as soon as an inequality is found. @param[in] rtol Relative tolerance for floating point comparisons. @param[in] atol Absolute tolerance for floating point comparisons. @param[in] output If not None, a callable that takes a string, used (possibly repeatedly) to report inequalities.
Floating point comparisons are performed by numpy.allclose; refer to that for details. """ d1 = getattr(instance1, self.name) d2 = getattr(instance2, self.name) name = getComparisonName( _joinNamePath(instance1._name, self.name), _joinNamePath(instance2._name, self.name) ) if not compareScalars("isnone for %s" % name, d1 is None, d2 is None, output=output): return False if d1 is None and d2 is None: return True if not compareScalars("keys for %s" % name, set(d1.keys()), set(d2.keys()), output=output): return False equal = True for k, v1 in d1.items(): v2 = d2[k] result = compareScalars("%s[%r]" % (name, k), v1, v2, dtype=self.itemtype, rtol=rtol, atol=atol, output=output) if not result and shortcut: return False equal = equal and result return equal |