def to(cls, other):
cls.genre_check(other)
pf = cls.prefix_factor(other)
if issubclass(other, Second):
return pf
elif issubclass(other, AtomicUnitOfTime):
return pf / 2.418884326502e-17
elif issubclass(other, Minute):
return pf / 60.0
elif issubclass(other, Hour):
return pf / 3600.0
elif issubclass(other, Day):
return pf / 86400.0
elif issubclass(other, Week):
return pf / 604800.0
elif issubclass(other, Year):
return pf / 31556925.445
elif issubclass(other, Decade):
return pf / (31556925.445 * 10)
elif issubclass(other, Century):
return pf / (31556925.445 * 100)
elif issubclass(other, Millennium):
return pf / (31556925.445 * 1000)
else: # pragma: no cover
raise NotImplementedError("Conversion from units " +
classname(cls) + " to units " +
classname(other) +
" is not implemented.")
def __set_check__(self, instance, value):
if type_checking_enabled:
if not isinstance(value, self.types):
raise TypeError(
self.type_error_text.format(cls=classname(type(instance)),
got=classname(type(value))))
return True
def from_groups(self, groups, units):
""" By default, just get the last group matched.
"""
if len(groups) == 0:
raise ValueNotAvailableError(
"Cannot find value of {0} for molecule:\n"
"{1}\nand details:\n{2} in output "
"file (no matching groups were found, "
"check regular expressions)".format(
type(self).__name__,
self.molecule,
self.details
))
if sanity_checking_enabled and len(groups) != 1:
raise ValueError(
"expecting exactly one value for ScalarProperty"
" '{0}', but got {1}".format(
classname(self.__class__), len(groups)
))
if type_checking_enabled and not isinstance(groups[-1], basestring):
raise TypeError("Got non-scalar last group: ('{1}') for ScalarProperty '{0}'".format(
classname(type(self)), "', '".join(groups)))
ret_val = float(groups[-1]) * units
self.value = ret_val.in_units(self.units)
return ret_val
def class_property_type(attr, cls, types, got):
type_error_text = "Property '{0}'".format(attr)
type_error_text += " in class '{0}' "
if isinstance(types, Iterable):
second_part = "must be an instance of one of the following: ('{0}');".format("', '".join(map(classname, types)))
else:
second_part = "must be an instance of '{0}'".format(classname(types))
type_error_text += second_part + " (got '{1}')"
type_error_text.format(classname(cls), classname(got))
def __init__(cls, *args, **dic):
if not len(args) == 0:
if len(args) == 3 and all(isinstance(a, t) for a, t in zip(args, [basestring, tuple, dict])):
raise TypeError("'{0}' is not a real metaclass. It merely inherits from 'type' to "
"make descriptors work properly.".format(classname(cls)))
else:
raise TypeError("{1} constructor takes exactly 1 argument, besides keyword arguments"
" ({0} given)".format(len(args) + 1, classname(cls)))
for item in dic:
setattr(cls, item, dic[item])
def to(cls, other):
cls.genre_check(other)
pf = cls.prefix_factor(other)
if issubclass(other, Coulomb):
return pf
elif issubclass(other, AtomicUnitOfElectricCharge):
return pf / ElementaryCharge.in_units(Coulomb).value
else: # pragma: no cover
raise NotImplementedError("Conversion from units " +
classname(cls) + " to units " +
classname(other) +
" is not implemented.")
def to(cls, other):
cls.genre_check(other)
pf = cls.prefix_factor(other)
if issubclass(other, Radian):
return pf * math.pi / 180.0
elif issubclass(other, Degree):
return pf
else: # pragma: no cover
raise NotImplementedError("Conversion from units " +
classname(cls) + " to units " +
classname(other) +
" is not implemented.")
def to(cls, other):
cls.genre_check(other)
pf = cls.prefix_factor(other)
if issubclass(other, Bohr):
return pf / BohrRadius.value
elif issubclass(other, Meter):
return 1e-10 * pf
elif issubclass(other, Angstrom):
return pf
else: # pragma: no cover
raise NotImplementedError("Conversion from units " +
classname(cls) + " to units " +
classname(other) +
" is not implemented.")
def to(cls, other):
cls.genre_check(other)
pf = cls.prefix_factor(other)
if issubclass(other, Second):
return pf
elif issubclass(other, AtomicUnitOfTime):
return pf / 2.418884326502e-17
elif issubclass(other, Minute):
return pf / 60.0
elif issubclass(other, Hour):
return pf / 3600.0
elif issubclass(other, Day):
return pf / 86400.0
elif issubclass(other, Week):
return pf / 604800.0
elif issubclass(other, Year):
return pf / 31556925.445
elif issubclass(other, Decade):
return pf / (31556925.445 * 10)
elif issubclass(other, Century):
return pf / (31556925.445 * 100)
elif issubclass(other, Millennium):
return pf / (31556925.445 * 1000)
else: # pragma: no cover
raise NotImplementedError("Conversion from units " + classname(cls) + " to units " + classname(other) + " is not implemented.")
def __new__(cls, argname, arg, *allowed_types, **kwargs):
allowed = listify_args(allowed_types)
my_caller = get_kwarg(kwargs, 'caller') or (caller() + '()')
if len(allowed) == 1:
return TypeError('Argument {0} to {1} must be {2} (got {3})'.format(
argname,
my_caller,
classname(allowed[0]),
type(arg).__name__
))
else:
return TypeError("Argument {0} to {1} must be one of ({2}) (got {3})".format(
argname,
my_caller,
', '.join(classname(a) for a in allowed),
type(arg).__name__
))
def __set__(self, instance, value):
if self.is_set_for_instance(instance):
raise FrozenObjectError("Can't modify attribute '{0}' of instance {1} of type {2} once "
"it has been set.".format(self._name, instance, classname(instance)))
else:
super(SetOnceAttribute, self).__set__(instance, value)
if value is not None and value is not NotImplemented:
setattr(instance, self._private_name + SetOnceAttribute.suffix, True)
def to(cls, other):
cls.genre_check(other)
pf = cls.prefix_factor(other)
if issubclass(other, Gram):
return pf
if issubclass(other, AtomicMassUnit):
# NIST
return pf / 1.660538921e-24
# IUPAC
#return pf / 1.6605402e-24
elif issubclass(other, AtomicUnitOfMass):
return pf / ElectronMass.in_units(Gram).value
else: # pragma: no cover
raise NotImplementedError("Conversion from units " +
classname(cls) + " to units " +
classname(other) +
" is not implemented.")
def __freeze__(self, instance):
if self.required_before_freeze:
if not self.is_set_for_instance(instance):
raise FrozenObjectError(
"Attribute '{0}' of instance {1} of type {2} must be set before "
"freezing can occur.".format(self._name, instance,
classname(instance)))
setattr(instance, self._private_name + SetOnceAttribute.suffix, True)
def to(cls, other):
cls.genre_check(other)
pf = cls.prefix_factor(other)
if issubclass(other, Radian):
return pf * math.pi / 180.0
elif issubclass(other, Degree):
return pf
else: # pragma: no cover
raise NotImplementedError("Conversion from units " + classname(cls) + " to units " + classname(other) + " is not implemented.")
def to(cls, other):
cls.genre_check(other)
pf = cls.prefix_factor(other)
if issubclass(other, Coulomb):
return pf
elif issubclass(other, AtomicUnitOfElectricCharge):
return pf / ElementaryCharge.in_units(Coulomb).value
else: # pragma: no cover
raise NotImplementedError("Conversion from units " + classname(cls) + " to units " + classname(other) + " is not implemented.")
def __set__(self, instance, value):
if getattr(instance, 'frozen', False):
raise FrozenObjectError(
"Can't modify attribute '{0}' of instance {1} of type {2} once the "
"instance has been frozen.".format(self._name, instance,
classname(instance)))
elif self._setter_func is not None:
self._setter_func(instance, value)
else:
setattr(instance, self._private_name, value)
def __set__(self, instance, value):
if self.is_set_for_instance(instance):
raise FrozenObjectError(
"Can't modify attribute '{0}' of instance {1} of type {2} once "
"it has been set.".format(self._name, instance,
classname(instance)))
else:
super(SetOnceAttribute, self).__set__(instance, value)
if value is not None and value is not NotImplemented:
setattr(instance, self._private_name + SetOnceAttribute.suffix,
True)
def to(cls, other):
cls.genre_check(other)
pf = cls.prefix_factor(other)
if issubclass(other, Bohr):
return pf / BohrRadius.value
elif issubclass(other, Meter):
return 1e-10 * pf
elif issubclass(other, Angstrom):
return pf
else: # pragma: no cover
raise NotImplementedError("Conversion from units " + classname(cls) + " to units " + classname(other) + " is not implemented.")
def from_groups(self, groups, units):
""" By default, just get the last group matched.
"""
if len(groups) == 0:
raise ValueNotAvailableError(
"Cannot find value of {0} for molecule:\n"
"{1}\nand details:\n{2} in output "
"file (no matching groups were found, "
"check regular expressions)".format(
type(self).__name__, self.molecule, self.details))
if sanity_checking_enabled and len(groups) != 1:
raise ValueError("expecting exactly one value for ScalarProperty"
" '{0}', but got {1}".format(
classname(self.__class__), len(groups)))
if type_checking_enabled and not isinstance(groups[-1], basestring):
raise TypeError(
"Got non-scalar last group: ('{1}') for ScalarProperty '{0}'".
format(classname(type(self)), "', '".join(groups)))
ret_val = float(groups[-1]) * units
self.value = ret_val.in_units(self.units)
return ret_val
def get_property(self, prop_class, details=None):
ret_val = None
if not self.completed:
return None
for p in self.properties:
# TODO figure out which should be a superset of the other
if MolecularProperty.is_same_property(p, prop_class) and (details is None or details.is_subset_of(p.details)):
if not ret_val is None and not p.value == ret_val.value:
# TODO Raise a more helpful exception class
raise RuntimeError("Multiple conflicting values for property " + classname(prop_class))
ret_val = p
return ret_val
def valid_parsers(self):
valid_parsers = {}
for property in self.needed_properties:
for parser in self.property_parsers:
if parser.compatible_with_details(self.computation.details):
if MolecularProperty.is_same_property(property, parser.property):
valid_parsers[property.property_type] = parser
break
if not any(MolecularProperty.is_same_property(property, p) for p in valid_parsers):
raise ComputationUnavailableError("Could not find a valid parser for {0} in class {1} compatible with details: "
"\n{2}".format(property.property_type.__name__, classname(self.__class__), self.computation.details))
return valid_parsers
def __attr_init__(self, types, strong, type_error_text):
self.types = tuple(listify_args(types))
if type_error_text is None:
self.type_error_text = "Attribute '{name}'".format(name=self.__name__)
self.type_error_text += " in class '{cls}' "
if isinstance(types, Iterable):
second_part = "must be an instance of one of the following: ('{types}');".format(types="', '".join(map(classname, types)))
else:
second_part = "must be an instance of '{types}'".format(types=classname(types))
self.type_error_text += second_part + " (got '{got}')"
else:
self.type_error_text = type_error_text
self.strong = strong
def to(cls, other):
cls.genre_check(other)
pf = cls.prefix_factor(other)
if issubclass(other, Joule):
return pf
elif issubclass(other, Hartree):
return pf / 4.35974434e-18
elif issubclass(other, Wavenumbers):
return pf / (PlanckConstant.value *
SpeedOfLight.in_units(Centimeters / Second).value)
elif issubclass(other, KiloCaloriePerMol):
return pf * AvogadrosNumber / 1000.0 / 4.184
elif issubclass(other, KiloJoulePerMol):
return pf * AvogadrosNumber / 1000.0
elif issubclass(other, Hertz):
return pf / PlanckConstant.value
elif issubclass(other, ElectronVolt):
return pf / 1.602176565e-19
else: # pragma: no cover
raise NotImplementedError("Conversion from units " +
classname(cls) + " to units " +
classname(other) +
" is not implemented.")
def to(cls, other):
cls.genre_check(other)
pf = cls.prefix_factor(other)
if issubclass(other, Gram):
return pf
if issubclass(other, AtomicMassUnit):
# NIST
return pf / 1.660538921e-24
# IUPAC
#return pf / 1.6605402e-24
elif issubclass(other, AtomicUnitOfMass):
return pf / ElectronMass.in_units(Gram).value
else: # pragma: no cover
raise NotImplementedError("Conversion from units " + classname(cls) + " to units " + classname(other) + " is not implemented.")
def validate(self):
prop_gen = None
for gen in self.property_generators:
if gen.property is All or all(
any(MolecularProperty.is_same_property(prop, p) for p in gen.property)
for prop in self.needed_properties):
if gen.compatible_with_details(self.computation.details):
prop_gen = gen
break
# and raise an error if we can't find a property generator that will work for us
if prop_gen is None:
raise ComputationUnavailableError("Could not find template file capable of generating an input to compute properties [{0}]"
" with details given by {1}".format(
", ".join(classname(prop) for prop in self.needed_properties),
self.computation.details))
return True
def __attr_init__(self, types, strong, type_error_text):
self.types = tuple(listify_args(types))
if type_error_text is None:
self.type_error_text = "Attribute '{name}'".format(
name=self.__name__)
self.type_error_text += " in class '{cls}' "
if isinstance(types, Iterable):
second_part = "must be an instance of one of the following: ('{types}');".format(
types="', '".join(map(classname, types)))
else:
second_part = "must be an instance of '{types}'".format(
types=classname(types))
self.type_error_text += second_part + " (got '{got}')"
else:
self.type_error_text = type_error_text
self.strong = strong
def to(cls, other):
cls.genre_check(other)
pf = cls.prefix_factor(other)
if issubclass(other, Joule):
return pf
elif issubclass(other, Hartree):
return pf / 4.35974434e-18
elif issubclass(other, Wavenumbers):
return pf / (PlanckConstant.value * SpeedOfLight.in_units(Centimeters/Second).value)
elif issubclass(other, KiloCaloriePerMol):
return pf * AvogadrosNumber / 1000.0 / 4.184
elif issubclass(other, KiloJoulePerMol):
return pf * AvogadrosNumber / 1000.0
elif issubclass(other, Hertz):
return pf / PlanckConstant.value
else: # pragma: no cover
raise NotImplementedError("Conversion from units " + classname(cls) + " to units " + classname(other) + " is not implemented.")
def valid_parsers(self):
valid_parsers = {}
for property in self.needed_properties:
for parser in self.property_parsers:
if parser.compatible_with_details(self.computation.details):
if MolecularProperty.is_same_property(
property, parser.property):
valid_parsers[property.property_type] = parser
break
if not any(
MolecularProperty.is_same_property(property, p)
for p in valid_parsers):
raise ComputationUnavailableError(
"Could not find a valid parser for {0} in class {1} compatible with details: "
"\n{2}".format(property.property_type.__name__,
classname(self.__class__),
self.computation.details))
return valid_parsers
def __new__(cls, *args, **kwargs):
"""
TODO Move this to class level documentation, since it doesn't show up in Sphinx
Takes several different forms. Given a number of arguments (possibly nested lists), a Tensor is created as
expected. *This is the only form in which arguments may be specified without keywords.*
`Tensor` can also be initialized by giving a list of dimensions for the `shape` (aliased as `dimension`)
keyword argument, with a possible default value keyword argument `default_val`.
Unless otherwise specified via the `dtype` keyword argument, it is assumed that the input data should be cast
as a `numpy.float64`.
"""
# Pop off any special args or kwargs and store their values for later
has_indices = False
ret_val = None
indices = None
units = pop_kwarg(kwargs, 'units')
name = kwargs.pop('name', None)
#--------------------------------------------------------------------------------#
# pop off any kwargs that the subclass's __init__ takes...
subclass_kwargs = {}
for supercls in cls.__mro__:
if supercls is Tensor:
break
if hasattr(supercls, '__tensor_init__') and callable(supercls.__tensor_init__):
if hasattr(supercls.__tensor_init__, 'getargspec'):
argspec = supercls.__tensor_init__.getargspec()
else:
argspec = inspect.getargspec(supercls.__tensor_init__)
for arg in argspec.args[1:]:
subclass_kwargs[arg] = kwargs.pop(arg, None)
#--------------------------------------------------------------------------------#
# Check for indices...
indices_kwarg = kwargs.pop('indices', None)
if indices_kwarg is None and len(args) == 1 and isinstance(args[0], basestring):
args = list(args)
indices_kwarg = args.pop(0)
args = tuple(args)
index_range_set = pop_multikwarg(kwargs, 'index_range_set', 'in_set', 'set')
if indices_kwarg is not None:
has_indices = True
indices = EinsumTensor.split_indices(indices_kwarg)
if index_range_set is None:
index_range_set = IndexRange.global_index_range_set
shape = []
for idx in indices:
if idx not in index_range_set.known_ranges:
raise IndexError("unknown index '" + idx + "'")
shape.append(index_range_set.known_ranges[idx].size)
shape = tuple(shape)
if "shape" in kwargs:
kwshape = kwargs.pop('shape')
if shape != kwshape:
raise TypeError("inconsistent shape: indices '{}' indicate a shape of {}, but"
" the keyword 'shape' was given with the shape {}".format(
",".join(indices), shape, kwshape
))
kwargs['shape'] = shape
#--------------------------------------------------------------------------------#
# Now create a numpy.ndarray object...
def_val = pop_kwarg(kwargs, 'default_val', 'default_value', 'default') or 0.0
# Set the default data type to float, unless the user specifies
dtype = get_kwarg(kwargs, 'dtype') or float
if not callable(dtype) and grendel.show_warnings:
warn("dtype given to {0} constructor is not Callable and thus cannot be used for casting." \
" It is better to use callable types for dtype if possible; e.g. numpy.float64 instead" \
"of numpy.dtype('float64')".format(classname(cls)))
kwargs['dtype'] = dtype
# Typecast the default value
if callable(dtype):
def_val = dtype(def_val)
# See if we have a shape...
shape = pop_kwarg(kwargs, 'shape', 'dimension')
# See if we have data...
# This allows us to support the form Tensor(1, 2, 3, 4)
if len(args) == 1 and isinstance(args[0], np.ndarray):
data = args[0]
else:
data = listify_args(*args)
if 'data' in kwargs:
if data:
raise TypeError("`data` may be specified as a keyword argument or as " \
"the regular arguments to {0} constructor, but not both.".format(classname(cls)))
else:
data = pop_kwarg('data')
if shape and not isinstance(data, np.ndarray):
has_content = False
if len(args) != 0:
has_content = True
if not has_content:
if def_val == 0.0:
try:
ret_val = np.zeros(shape=shape, **kwargs)
except:
raise
else:
ret_val = (np.ones(shape=shape, **kwargs) * def_val)
else:
if grendel.sanity_checking_enabled:
# Check data length
tmp = np.array(data)
needed_data_size = 1
for dim in shape: needed_data_size *= dim
try:
tmp.reshape((needed_data_size,))
except ValueError:
raise ValueError("Data provided to {0} constructor is incompatible with the shape {1}".format(classname(cls), shape))
# Check data type
ret_val = np.array(data, **kwargs).reshape(shape)
else:
# Just pass on the data and any surviving kwargs
try:
if isinstance(data, np.ndarray) and (
len(kwargs) == 0
or (len(kwargs) == 1 and 'dtype' in kwargs and kwargs['dtype'] == data.dtype)
):
# Just do a view
ret_val = data.view(cls)
else:
# Otherwise, we need to call the numpy "constructor" (actually a factory function) of ndarray
ret_val = np.array(data, **kwargs)
except:
# debugging breakpoint hook
raise
if shape and ret_val.shape != shape:
raise ValueError("Shape mismatch: data shape {0} does not match specified shape {1}".format(
data.shape, shape
))
#--------------------------------------------------------------------------------#
# View-cast the ret_val to the class in question, but only if we haven't already
if not isinstance(ret_val, cls):
ret_val = ret_val.view(cls)
# Now assign stuff from any special args...
if has_indices:
ret_val.indices = indices
ret_val.index_range_set = index_range_set
else:
ret_val.indices = None
ret_val.units = units
ret_val.name = name
if name is None:
ret_val.name = "(unnamed tensor)"
# pass the remaining kwargs to the initializer...
ret_val.__tensor_init__(**subclass_kwargs)
return ret_val
def get_kwarg(arg, cls, subclass=False):
gotten = pop_kwarg(kwargs, arg)
if not subclass:
if gotten is not None and not isinstance(gotten, cls):
if not isinstance(cls, tuple):
raise TypeError("#{0} argument given to Computation() "\
"must be an instance of the #{1} class.".format(arg, classname(cls)))
else:
raise TypeError("#{0} argument given to Computation() "\
"must be one of (#{1}) .".format(arg, ', '.join(classname(cl) for cl in cls)))
else:
if gotten is not None and not issubclass(gotten, cls):
if not isinstance(cls, tuple):
raise TypeError("#{0} argument given to Computation() "\
"must be an subclass of the #{1} class.".format(arg, classname(cls)))
else:
raise TypeError("#{0} argument given to Computation() "\
"must be subclass of one of (#{1}) .".format(arg, ', '.join(classname(cl) for cl in cls)))
return gotten
def fail_if_frozen(self):
if self.frozen:
raise FrozenObjectError("Can't call method {0}() on instance {1} of {2} once "
"it has been frozen.".format(caller(), self, classname(self)))
def __set_check__(self, instance, value):
if type_checking_enabled:
if not isinstance(value, self.types):
raise TypeError(self.type_error_text.format(cls=classname(type(instance)), got=classname(type(value))))
return True
def __mul__(self, other):
if not isinstance(other, SymmetryOperation):
raise TypeError("Invalid multiplication of " + classname(self) + " by " + classname(other))
return super(Reflection, self).__mul__(other)
def __new__(mcs, *args, **kwargs):
ret_val = type.__new__(mcs, classname(mcs), (), {})
mcs.__init__(ret_val, *args, **kwargs)
return ret_val
def test_classname():
assert classname(object) == "object"
assert classname(Tensor) == "Tensor"
assert classname("Torsion") == "Torsion"
assert classname(Vector(1,2,3)) == "Vector"
def __lt__(self, other):
""" Determines a sort order based on Cotton ordering (or as close as possible to it...)
(i.e. the ordering used by Cotton in his character tables)
Note: Cotton isn't really that consistent with his ordering, particularly for larger point groups. This
represents my best guess, basically just to get something consistant out on the table.
"""
if self is other:
return False
if not isinstance(other, SymmetryOperation):
raise TypeError("Comparison of SymmetryOperation with " +
classname(other) + " is not allowed.")
elif not self.point_group is other.point_group:
raise ValueError(
"Cannot compare operations from different point groups.")
if isinstance(self, g.IdentityOperation):
return True
if isinstance(other, g.IdentityOperation):
return False
elif isinstance(self, g.Rotation):
if not isinstance(other, g.Rotation):
return True
elif (self.n, self.n - self.exponent) != (other.n, other.n -
other.exponent):
# Reverse ordering by order, forward ordering by exponent
return (self.n, self.n - self.exponent) > (other.n, other.n -
other.exponent)
# Then put in the order z, y, x
elif SymmetryOperation.is_same_axis(self.axis, Vector(0, 0, 1)):
return True
elif SymmetryOperation.is_same_axis(other.axis, Vector(0, 0, 1)):
return False
elif SymmetryOperation.is_same_axis(self.axis, Vector(0, 1, 0)):
return True
elif SymmetryOperation.is_same_axis(other.axis, Vector(0, 1, 0)):
return False
elif SymmetryOperation.is_same_axis(self.axis, Vector(1, 0, 0)):
return True
elif SymmetryOperation.is_same_axis(other.axis, Vector(1, 0, 0)):
return False
# Finally, order by proximity of axis to the z-axis (not an official part of Cotton ordering, but doesn't come up too often
else:
return (Vector(0, 0, 1) - self.axis).magnitude() < (
Vector(0, 0, 1) - other.axis).magnitude()
elif isinstance(other, g.Rotation):
return False
elif isinstance(self, g.Inversion):
return True
elif isinstance(other, g.Inversion):
return False
elif isinstance(self, g.ImproperRotation):
if not isinstance(other, g.ImproperRotation):
return True
elif (self.n, self.n - self.exponent) != (other.n, other.n -
other.exponent):
# Reverse ordering by order, forward ordering by exponent
return (self.n, self.n - self.exponent) > (other.n, other.n -
other.exponent)
# Then put in the order z, y, x
elif SymmetryOperation.is_same_axis(self.axis, Vector(0, 0, 1)):
return True
elif SymmetryOperation.is_same_axis(other.axis, Vector(0, 0, 1)):
return False
elif SymmetryOperation.is_same_axis(self.axis, Vector(0, 1, 0)):
return True
elif SymmetryOperation.is_same_axis(other.axis, Vector(0, 1, 0)):
return False
elif SymmetryOperation.is_same_axis(self.axis, Vector(1, 0, 0)):
return True
elif SymmetryOperation.is_same_axis(other.axis, Vector(1, 0, 0)):
return False
# Finally, order by proximity of axis to the z-axis (not an official part of Cotton ordering, but doesn't come up too often
else:
return (Vector(0, 0, 1) - self.axis).magnitude() < (
Vector(0, 0, 1) - other.axis).magnitude()
elif isinstance(other, g.ImproperRotation):
return False
else: # Both are Reflections
if self.is_principal_reflection():
return True
elif other.is_principal_reflection():
return False
elif self.is_dihedral():
if not other.is_dihedral():
return True
# Otherwise same axis ordering as rotations
elif SymmetryOperation.is_same_axis(self.axis, Vector(0, 0,
1)):
return True
elif SymmetryOperation.is_same_axis(other.axis,
Vector(0, 0, 1)):
return False
elif SymmetryOperation.is_same_axis(self.axis, Vector(0, 1,
0)):
return True
elif SymmetryOperation.is_same_axis(other.axis,
Vector(0, 1, 0)):
return False
elif SymmetryOperation.is_same_axis(self.axis, Vector(1, 0,
0)):
return True
elif SymmetryOperation.is_same_axis(other.axis,
Vector(1, 0, 0)):
return False
else:
return (Vector(0, 0, 1) - self.axis).magnitude() < (
Vector(0, 0, 1) - other.axis).magnitude()
elif other.is_dihedral():
return False
else: # Both are sigma_v's
# Same axis ordering as rotations
if SymmetryOperation.is_same_axis(self.axis, Vector(0, 0, 1)):
return True
elif SymmetryOperation.is_same_axis(other.axis,
Vector(0, 0, 1)):
return False
elif SymmetryOperation.is_same_axis(self.axis, Vector(0, 1,
0)):
return True
elif SymmetryOperation.is_same_axis(other.axis,
Vector(0, 1, 0)):
return False
elif SymmetryOperation.is_same_axis(self.axis, Vector(1, 0,
0)):
return True
elif SymmetryOperation.is_same_axis(other.axis,
Vector(1, 0, 0)):
return False
else:
return (Vector(0, 0, 1) - self.axis).magnitude() < (
Vector(0, 0, 1) - other.axis).magnitude()
def __eq__(self, other):
if not isinstance(other, SymmetryOperation):
raise TypeError("Equality comparison of SymmetryOperation to " +
classname(other) + " is not allowed.")
diff = self.matrix - other.matrix
return diff.norm() < self.same_operation_tolerance
def __eq__(self, other):
if not isinstance(other, SymmetryOperation):
raise TypeError("Equality comparison of SymmetryOperation to " + classname(other) + " is not allowed.")
diff = self.matrix - other.matrix
return diff.norm() < self.same_operation_tolerance
def __lt__(self, other):
""" Determines a sort order based on Cotton ordering (or as close as possible to it...)
(i.e. the ordering used by Cotton in his character tables)
Note: Cotton isn't really that consistent with his ordering, particularly for larger point groups. This
represents my best guess, basically just to get something consistant out on the table.
"""
if self is other:
return False
if not isinstance(other, SymmetryOperation):
raise TypeError("Comparison of SymmetryOperation with " + classname(other) + " is not allowed.")
elif not self.point_group is other.point_group:
raise ValueError("Cannot compare operations from different point groups.")
if isinstance(self, g.IdentityOperation):
return True
if isinstance(other, g.IdentityOperation):
return False
elif isinstance(self, g.Rotation):
if not isinstance(other, g.Rotation):
return True
elif (self.n, self.n - self.exponent) != (other.n, other.n - other.exponent):
# Reverse ordering by order, forward ordering by exponent
return (self.n, self.n - self.exponent) > (other.n, other.n - other.exponent)
# Then put in the order z, y, x
elif SymmetryOperation.is_same_axis(self.axis, Vector(0,0,1)):
return True
elif SymmetryOperation.is_same_axis(other.axis, Vector(0,0,1)):
return False
elif SymmetryOperation.is_same_axis(self.axis, Vector(0,1,0)):
return True
elif SymmetryOperation.is_same_axis(other.axis, Vector(0,1,0)):
return False
elif SymmetryOperation.is_same_axis(self.axis, Vector(1,0,0)):
return True
elif SymmetryOperation.is_same_axis(other.axis, Vector(1,0,0)):
return False
# Finally, order by proximity of axis to the z-axis (not an official part of Cotton ordering, but doesn't come up too often
else:
return (Vector(0,0,1) - self.axis).magnitude() < (Vector(0,0,1) - other.axis).magnitude()
elif isinstance(other, g.Rotation):
return False
elif isinstance(self, g.Inversion):
return True
elif isinstance(other, g.Inversion):
return False
elif isinstance(self, g.ImproperRotation):
if not isinstance(other, g.ImproperRotation):
return True
elif (self.n, self.n - self.exponent) != (other.n, other.n - other.exponent):
# Reverse ordering by order, forward ordering by exponent
return (self.n, self.n - self.exponent) > (other.n, other.n - other.exponent)
# Then put in the order z, y, x
elif SymmetryOperation.is_same_axis(self.axis, Vector(0,0,1)):
return True
elif SymmetryOperation.is_same_axis(other.axis, Vector(0,0,1)):
return False
elif SymmetryOperation.is_same_axis(self.axis, Vector(0,1,0)):
return True
elif SymmetryOperation.is_same_axis(other.axis, Vector(0,1,0)):
return False
elif SymmetryOperation.is_same_axis(self.axis, Vector(1,0,0)):
return True
elif SymmetryOperation.is_same_axis(other.axis, Vector(1,0,0)):
return False
# Finally, order by proximity of axis to the z-axis (not an official part of Cotton ordering, but doesn't come up too often
else:
return (Vector(0,0,1) - self.axis).magnitude() < (Vector(0,0,1) - other.axis).magnitude()
elif isinstance(other, g.ImproperRotation):
return False
else: # Both are Reflections
if self.is_principal_reflection():
return True
elif other.is_principal_reflection():
return False
elif self.is_dihedral():
if not other.is_dihedral():
return True
# Otherwise same axis ordering as rotations
elif SymmetryOperation.is_same_axis(self.axis, Vector(0,0,1)):
return True
elif SymmetryOperation.is_same_axis(other.axis, Vector(0,0,1)):
return False
elif SymmetryOperation.is_same_axis(self.axis, Vector(0,1,0)):
return True
elif SymmetryOperation.is_same_axis(other.axis, Vector(0,1,0)):
return False
elif SymmetryOperation.is_same_axis(self.axis, Vector(1,0,0)):
return True
elif SymmetryOperation.is_same_axis(other.axis, Vector(1,0,0)):
return False
else:
return (Vector(0,0,1) - self.axis).magnitude() < (Vector(0,0,1) - other.axis).magnitude()
elif other.is_dihedral():
return False
else: # Both are sigma_v's
# Same axis ordering as rotations
if SymmetryOperation.is_same_axis(self.axis, Vector(0,0,1)):
return True
elif SymmetryOperation.is_same_axis(other.axis, Vector(0,0,1)):
return False
elif SymmetryOperation.is_same_axis(self.axis, Vector(0,1,0)):
return True
elif SymmetryOperation.is_same_axis(other.axis, Vector(0,1,0)):
return False
elif SymmetryOperation.is_same_axis(self.axis, Vector(1,0,0)):
return True
elif SymmetryOperation.is_same_axis(other.axis, Vector(1,0,0)):
return False
else:
return (Vector(0,0,1) - self.axis).magnitude() < (Vector(0,0,1) - other.axis).magnitude()
def __mul__(self, other):
if not isinstance(other, SymmetryOperation):
raise TypeError("Invalid multiplication of " + classname(self) +
" by " + classname(other))
return super(Reflection, self).__mul__(other)
def freeze(obj):
if type_checking_enabled and not isinstance(obj, Freezable):
raise TypeError("Cannot freeze unfreezable object of type {0}".format(
classname(obj)))
else:
obj.freeze()
def __repr__(cls):
return classname(super(Unit, cls).__repr__())
def fail_if_frozen(self):
if self.frozen:
raise FrozenObjectError(
"Can't call method {0}() on instance {1} of {2} once "
"it has been frozen.".format(caller(), self, classname(self)))
def __init__(self, unit1):
"""
"""
name1 = unit1.name if isinstance(unit1, CompositeUnit) else classname(unit1)
message = "Unit " + name1 + " is not a Unit that Grendel knows about."
super(UnknownUnitError, self).__init__(message)
def __init__(self,
indices,
begin_index_or_size_or_slices,
end_index=None,
name=None,
parent=None,
index_range_set=None):
self.indices, self.sub_indices = EinsumTensor.split_indices(
indices, include_sub=True)
if self.indices != self.sub_indices:
raise ValueError(
"can't include indices with sub-indices (such as '{}') in"
" IndexRange declaration.".format([
self.indices[i] + "_" + self.sub_indices[i]
for i in xrange(len(self.indices))
if self.indices[i] != self.sub_indices[i]
][0]))
self.subranges = []
if parent:
self.parent = parent
if index_range_set is None:
if self.parent is not None:
self.index_range_set = self.parent.index_range_set
else:
self.index_range_set = IndexRange.global_index_range_set
else:
self.index_range_set = index_range_set
self.name = name
self._begin_is_ellipsis = False
self._end_is_ellipsis = False
self._parent = None
if isinstance(begin_index_or_size_or_slices, int):
if end_index is not None:
if end_index is Ellipsis:
self._end_is_ellipsis = True
self.slice = slice(begin_index_or_size_or_slices, -1)
else:
self.slice = slice(begin_index_or_size_or_slices,
end_index)
else:
self.slice = slice(0, begin_index_or_size_or_slices)
elif isinstance(begin_index_or_size_or_slices, slice):
self.slice = begin_index_or_size_or_slices
elif begin_index_or_size_or_slices is Ellipsis:
self._begin_is_ellipsis = True
if isinstance(end_index, int):
self.slice = slice(-1, end_index)
else:
raise TypeError(
"Unsupport type for third argument to IndexRange constructor of type {0}"
.format(classname(end_index)))
else:
raise TypeError(
"Unsupport type for third argument to IndexRange constructor of type {0}"
.format(classname(begin_index_or_size_or_slices)))
for idx in self.indices:
if idx in self.index_range_set.known_ranges:
raise IndexError(
u"Index {0} is already part of index range {1}.".format(
idx, self.index_range_set.known_ranges[idx]))
self.index_range_set[idx] = self
def __init__(self, unit1, unit2):
"""
"""
name1 = unit1.name if isinstance(unit1, CompositeUnit) else '<unitless>' if unit1 is None else classname(unit1)
name2 = unit2.name if isinstance(unit2, CompositeUnit) else '<unitless>' if unit2 is None else classname(unit2)
message = "Cannot convert from units " + name1 + " to units " + name2 + "."
super(IncompatibleUnitsError, self).__init__(message)
def forwardable(cls):
""" Class decorator that allows for the definition of delegators (in conjunction with `def_delegators`),
just like the Forwardable module in Ruby. *Note that this pattern does not work for nested classes*
:Examples:
>>> class NameContainer(object):
... name = ""
... def __init__(self, name):
... self.name = name
...
>>> @forwardable
... class AppendOnlyList(object):
... list = []
... def_delegators('list', 'append')
... # Attributes can also be delegated:
... name_container = None
... def_delegators('name_container', 'name')
... def __init__(self, name):
... self.list = []
... self.name_container = NameContainer(name)
... # Double-underscore methods can't be delegated. Instead, do something like this:
... def __repr__(self):
... return self.list.__repr__()
...
>>> foo = AppendOnlyList("foobar")
>>> foo.append('a')
>>> foo.append(2)
>>> foo.append('hello')
>>> foo
['a', 2, 'hello']
>>> foo.name
'foobar'
"""
if 'delegates' not in forwardable.__dict__:
return cls
for attr in forwardable.__dict__['delegates']:
symbols = forwardable.__dict__['delegates'][attr]
for symb in symbols:
if hasattr(cls, symb):
raise ValueError("Tried to define delegator of '{0}' to '{1}', but '{0}' is already defined in" \
" class {2}.".format(symb, attr, classname(cls)))
elif (symb[0], symb[1], symb[-2], symb[-1]) == ('_', '_', '_', '_'):
raise ValueError("You are not allowed to delegate double-underscored methods. Do these by hand, "
"keeping in mind how Python actually accesses the particular double-underscored "
"method you're trying to create.")
else:
class _wrapped_descriptor(object):
attr_name = None
symb_name = None
def __init__(self, in_attr, in_symb):
self.attr_name = in_attr
self.symb_name = in_symb
def __get__(self, obj, type=None):
return getattr(getattr(obj, self.attr_name), self.symb_name)
_wrapped = _wrapped_descriptor(attr, symb)
_wrapped.__name__ = attr
_wrapped.__doc__ = """Delegated to `self.{0}`.""".format(attr)
setattr(cls, symb, _wrapped)
# Now clear the delegates for the next use.
forwardable.__dict__['delegates'] = {}
return cls
def __new__(cls, **kwargs):
"""
"""
def get_kwarg(arg, cls, subclass=False):
gotten = pop_kwarg(kwargs, arg)
if not subclass:
if gotten is not None and not isinstance(gotten, cls):
if not isinstance(cls, tuple):
raise TypeError("#{0} argument given to Computation() "\
"must be an instance of the #{1} class.".format(arg, classname(cls)))
else:
raise TypeError("#{0} argument given to Computation() "\
"must be one of (#{1}) .".format(arg, ', '.join(classname(cl) for cl in cls)))
else:
if gotten is not None and not issubclass(gotten, cls):
if not isinstance(cls, tuple):
raise TypeError("#{0} argument given to Computation() "\
"must be an subclass of the #{1} class.".format(arg, classname(cls)))
else:
raise TypeError("#{0} argument given to Computation() "\
"must be subclass of one of (#{1}) .".format(arg, ', '.join(classname(cl) for cl in cls)))
return gotten
#--------------------------------------------------------------------------------#
# Handle molecule, make a ResultGetter
molecule = get_kwarg('molecule', Molecule)
res_getter = get_kwarg('result_getter', ComputationResultGetter)
if res_getter is None:
res_getter = ComputationResultGetter(**kwargs)
molecule.result_getters.append(res_getter)
#--------------------------------------------------------------------------------#
# Now see what package we're using
package = get_kwarg('package', (basestring, PackageInterface))
comp_class = cls
interface = None
if isinstance(package, PackageInterface):
interface = package
elif isinstance(package, basestring):
interface = PackageInterface.load_package(
package,
input_generator=get_kwarg('input_generator', InputGenerator, True),
runner=get_kwarg('runner', Runner, True),
output_parser=get_kwarg('output_parser', OutputParser, True),
details_class=get_kwarg('details_class', ComputationDetails, True),
computation_class=get_kwarg('computation_class', cls, True)
)
if interface.computation_class is not None:
comp_class = cls
ret_val = object.__new__(comp_class)
#--------------------------------------------------------------------------------#
ret_val.molecule = molecule
res_getter.add_computation(ret_val)
ret_val.input_generator = interface.input_generator(ret_val)
ret_val.output_parser = interface.output_parser(ret_val)
#TODO accept option for directory to put input/output files in
#TODO accept option for input/output filenames
#TODO support for runners that don't follow the input/output pattern
ret_val.runner = interface.runner(input_file='input.dat', output_file='output.dat')
#--------------------------------------------------------------------------------#
ret_val.details = get_kwarg('details', interface.details_class)
ret_val.properties = pop_kwarg(kwargs, 'property')
if isinstance(ret_val.properties, Iterable):
ret_val.properties = list(ret_val.properties)
else:
ret_val.properties = [ret_val.properties]
if not all(issubclass(prop, MolecularProperty) or isinstance(prop, MolecularProperty) for prop in ret_val.properties):
raise TypeError("property argument given to Computation() must be a list of MolecularProperty subclasses or instances.".format(classname(cls)))
fixed_properties = []
for prop in ret_val.properties:
if isinstance(prop, MolecularProperty):
fixed_properties.append(prop)
prop.details = ret_val.details
elif issubclass(prop, MolecularProperty):
fixed_properties.append(prop(molecule=ret_val.molecule, details=ret_val.details))
ret_val.properties = fixed_properties
#--------------------------------------------------------------------------------#
# Get input_filename and output_filename, if specified. Make sure that neither
# is a path.
# first get input_filename
input_filename = pop_kwarg(kwargs, 'input_filename')
if input_filename:
if os.path.split(input_filename)[0] != '':
raise ValueError("File name '{0}' given for argument 'input_filename' of Computation constructor "
"must be a single file, not a path. Use the 'directory' argument to specify "
"a directory.".format(input_filename))
ret_val.runner.input_file = input_filename
else:
ret_val.runner.input_file = Runner.default_input_filename
#----------------------------------------#
# now get output_filename
output_filename = pop_kwarg(kwargs, 'output_filename')
if output_filename:
if os.path.split(output_filename)[0] != '':
raise ValueError("File name '{0}' given for argument 'output_filename' of Computation constructor "
"must be a single file, not a path. Use the 'directory' argument to specify "
"a directory.".format(output_filename))
ret_val.runner.output_file = output_filename
else:
ret_val.runner.output_file = Runner.default_output_filename
#--------------------------------------------------------------------------------#
# Find out the desired directory and make new ones if necessary and allowed.
ret_val.directory = pop_kwarg(kwargs, 'directory')
used_template = False
if ret_val.directory is not None:
ret_val.directory = full_path(ret_val.directory)
elif cls.directory_template is not None:
ret_val.directory = cls.directory_template
used_template = True
else:
ret_val.directory = full_path(os.curdir)
#----------------------------------------#
# Do mako-template style replacement, if the user has mako
try:
from mako.template import Template
from mako import exceptions
# Start with some obvious standard things to add...
variables = dict(
mol = ret_val.molecule, molecule = ret_val.molecule,
calc = ret_val, calculation = ret_val,
rg = res_getter, result_getter = res_getter,
details = ret_val.details
)
# Get all of the known details, as strings
det_strs = dict()
for k, v in ret_val.details._known_details.items():
det_strs[str(k)] = str(v)
det_strs[str(k).lower()] = str(v)
det_strs[str(k).upper()] = str(v)
if k in Computation.attribute_aliases:
for alias in Computation.attribute_aliases[k]:
alias = make_safe_identifier(alias)
det_strs[str(alias)] = str(v)
det_strs[str(alias).lower()] = str(v)
det_strs[str(alias).upper()] = str(v)
variables.update(det_strs)
# Get any additional keywords specified by the user (advanced feature)
additional = kwargs.pop('directory_creation_vars', dict())
variables.update(additional)
# Now run mako on the template...
try:
ret_val.directory = Template(
text=ret_val.directory,
strict_undefined=True
).render(
**variables
)
except:
raise ValueError(
"invalid MAKO template:\n{}\nMako came back with error:\n{}".format(
indent(ret_val.directory),
indent(exceptions.text_error_template().render())
)
)
# and make it into a "url safe string":
ret_val.directory = urllib.quote_plus(
ret_val.directory,
safe='/' + cls.additional_safe_directory_characters
)
except ImportError:
# Can't do mako parsing of path. Oh well...
# But if the user specified additional args, they probably thought they did have
# mako installed...
additional = kwargs.pop('directory_creation_vars', None)
if additional is not None:
raise
# and if they have a ${ in the directory name or a <% in the directory name,
# they probably also thought that they had mako.
# (Note: this could be an issue in the unlikely scenario that the user is using
# e.g. zsh and specifying environment variables from within Python as ${ }.
# If someone is having that problem, they probably have enough intelligence
# also to figure out how to get around it.)
if '${' in ret_val.directory or '<%' in ret_val.directory:
raise
# if they're using a class-level template, they also need to have mako installed
if used_template:
raise
#----------------------------------------#
ret_val.directory = full_path(ret_val.directory)
#----------------------------------------#
# Now create the directory if we're allowed to and need to
create_dirs = kwargs.pop('create_directories', cls.always_create_missing)
if create_dirs:
if not os.path.isdir(ret_val.directory):
if os.path.exists(ret_val.directory):
raise OSError(
"path '{}' exists and is not a directory".format(
ret_val.directory
)
)
os.makedirs(ret_val.directory)
else:
if not os.path.isdir(ret_val.directory):
raise OSError(
"'{0}' is not a valid directory, and will not be created. Set the "
"'create_directories' argument of computation to True to do directory "
"creation automatically.".format(
ret_val.directory
))
#----------------------------------------#
# now set the input_file and output_file values
ret_val.runner.input_file = os.path.join(ret_val.directory, ret_val.runner.input_file)
ret_val.runner.output_file = os.path.join(ret_val.directory, ret_val.runner.output_file)
ret_val.runner.working_directory = ret_val.directory
#--------------------------------------------------------------------------------#
# Pass the remaining kwargs on to the initialization, which may have been customized for the particular package.
ret_val.__init__(**kwargs)
return ret_val
def __init__(self, indices,
begin_index_or_size_or_slices,
end_index=None,
name=None,
parent=None,
index_range_set=None):
self.indices, self.sub_indices = EinsumTensor.split_indices(indices, include_sub=True)
if self.indices != self.sub_indices:
raise ValueError("can't include indices with sub-indices (such as '{}') in"
" IndexRange declaration.".format(
[self.indices[i] + "_" + self.sub_indices[i] for i in xrange(len(self.indices)) if self.indices[i] != self.sub_indices[i]][0]
))
self.subranges = []
if parent:
self.parent = parent
if index_range_set is None:
if self.parent is not None:
self.index_range_set = self.parent.index_range_set
else:
self.index_range_set = IndexRange.global_index_range_set
else:
self.index_range_set = index_range_set
self.name = name
self._begin_is_ellipsis = False
self._end_is_ellipsis = False
self._parent = None
if isinstance(begin_index_or_size_or_slices, int):
if end_index is not None:
if end_index is Ellipsis:
self._end_is_ellipsis = True
self.slice = slice(begin_index_or_size_or_slices, -1)
else:
self.slice = slice(begin_index_or_size_or_slices, end_index)
else:
self.slice = slice(0, begin_index_or_size_or_slices)
elif isinstance(begin_index_or_size_or_slices, slice):
self.slice = begin_index_or_size_or_slices
elif begin_index_or_size_or_slices is Ellipsis:
self._begin_is_ellipsis = True
if isinstance(end_index, int):
self.slice = slice(-1, end_index)
else:
raise TypeError("Unsupport type for third argument to IndexRange constructor of type {0}".format(classname(end_index)))
else:
raise TypeError("Unsupport type for third argument to IndexRange constructor of type {0}".format(classname(begin_index_or_size_or_slices)))
for idx in self.indices:
if idx in self.index_range_set.known_ranges:
raise IndexError(u"Index {0} is already part of index range {1}.".format(idx, self.index_range_set.known_ranges[idx]))
self.index_range_set[idx] = self