def __new__(cls, a, b):
# Conversion
a = as_ufl(a)
b = as_ufl(b)
# Type checking
if not is_true_ufl_scalar(a):
error("Cannot take the power of a non-scalar expression %s." %
ufl_err_str(a))
if not is_true_ufl_scalar(b):
error("Cannot raise an expression to a non-scalar power %s." %
ufl_err_str(b))
# Simplification
if isinstance(a, ScalarValue) and isinstance(b, ScalarValue):
return as_ufl(a._value**b._value)
if isinstance(b, Zero):
return IntValue(1)
if isinstance(a, Zero) and isinstance(b, ScalarValue):
if isinstance(b, ComplexValue):
error("Cannot raise zero to a complex power.")
bf = float(b)
if bf < 0:
error("Division by zero, cannot raise 0 to a negative power.")
else:
return zero()
if isinstance(b, ScalarValue) and b._value == 1:
return a
# Construction
self = Operator.__new__(cls)
self._init(a, b)
return self
def __getitem__(self, key):
if key == ():
# So that one doesn't have to special case indexing of
# expressions without shape.
return self
error(
"Attempting to index with %s, but object is already indexed: %s" %
(ufl_err_str(key), ufl_err_str(self)))
def __init__(self, expression, multiindex):
# Store operands
Operator.__init__(self, (expression, multiindex))
# Error checking
if not isinstance(expression, Expr):
error("Expecting Expr instance, not %s." % ufl_err_str(expression))
if not isinstance(multiindex, MultiIndex):
error("Expecting MultiIndex instance, not %s." %
ufl_err_str(multiindex))
shape = expression.ufl_shape
# Error checking
if len(shape) != len(multiindex):
error("Invalid number of indices (%d) for tensor "
"expression of rank %d:\n\t%s\n" %
(len(multiindex), len(
expression.ufl_shape), ufl_err_str(expression)))
if any(
int(di) >= int(si) or int(di) < 0
for si, di in zip(shape, multiindex)
if isinstance(di, FixedIndex)):
error("Fixed index out of range!")
# Build tuples of free index ids and dimensions
if 1:
efi = expression.ufl_free_indices
efid = expression.ufl_index_dimensions
fi = list(zip(efi, efid))
for pos, ind in enumerate(multiindex._indices):
if isinstance(ind, Index):
fi.append((ind.count(), shape[pos]))
fi = unique_sorted_indices(sorted(fi))
if fi:
fi, fid = zip(*fi)
else:
fi, fid = (), ()
else:
mfiid = [(ind.count(), shape[pos])
for pos, ind in enumerate(multiindex._indices)
if isinstance(ind, Index)]
mfi, mfid = zip(*mfiid) if mfiid else ((), ())
fi, fid = merge_unique_indices(expression.ufl_free_indices,
expression.ufl_index_dimensions,
mfi, mfid)
# Cache free index and dimensions
self.ufl_free_indices = fi
self.ufl_index_dimensions = fid
def __new__(cls, a, b):
# Checks
ash, bsh = a.ufl_shape, b.ufl_shape
if ash != bsh:
error("Shapes do not match: %s and %s." % (ufl_err_str(a), ufl_err_str(b)))
# Simplification
if isinstance(a, Zero) or isinstance(b, Zero):
fi, fid = merge_nonoverlapping_indices(a, b)
return Zero((), fi, fid)
elif ash == ():
return a*b
return CompoundTensorOperator.__new__(cls)
def __new__(cls, a, b):
ash = a.ufl_shape
bsh = b.ufl_shape
# Checks
if not (len(ash) == 1 and ash == bsh):
error("Cross product requires arguments of rank 1, got %s and %s." % (
ufl_err_str(a), ufl_err_str(b)))
# Simplification
if isinstance(a, Zero) or isinstance(b, Zero):
fi, fid = merge_nonoverlapping_indices(a, b)
return Zero(ash, fi, fid)
return CompoundTensorOperator.__new__(cls)
def __new__(cls, a, b):
ash = a.ufl_shape
bsh = b.ufl_shape
# Checks
if not (len(ash) == 1 and ash == bsh):
error("Cross product requires arguments of rank 1, got %s and %s." % (
ufl_err_str(a), ufl_err_str(b)))
# Simplification
if isinstance(a, Zero) or isinstance(b, Zero):
fi, fid = merge_nonoverlapping_indices(a, b)
return Zero(ash, fi, fid)
return CompoundTensorOperator.__new__(cls)
def __init__(self, expression, multiindex):
# Store operands
Operator.__init__(self, (expression, multiindex))
# Error checking
if not isinstance(expression, Expr):
error("Expecting Expr instance, not %s." % ufl_err_str(expression))
if not isinstance(multiindex, MultiIndex):
error("Expecting MultiIndex instance, not %s." % ufl_err_str(multiindex))
shape = expression.ufl_shape
# Error checking
if len(shape) != len(multiindex):
error("Invalid number of indices (%d) for tensor "
"expression of rank %d:\n\t%s\n"
% (len(multiindex), len(expression.ufl_shape), ufl_err_str(expression)))
if any(int(di) >= int(si)
for si, di in zip(shape, multiindex)
if isinstance(di, FixedIndex)):
error("Fixed index out of range!")
# Build tuples of free index ids and dimensions
if 1:
efi = expression.ufl_free_indices
efid = expression.ufl_index_dimensions
fi = list(zip(efi, efid))
for pos, ind in enumerate(multiindex._indices):
if isinstance(ind, Index):
fi.append((ind.count(), shape[pos]))
fi = unique_sorted_indices(sorted(fi))
if fi:
fi, fid = zip(*fi)
else:
fi, fid = (), ()
else:
mfiid = [(ind.count(), shape[pos])
for pos, ind in enumerate(multiindex._indices)
if isinstance(ind, Index)]
mfi, mfid = zip(*mfiid) if mfiid else ((), ())
fi, fid = merge_unique_indices(expression.ufl_free_indices,
expression.ufl_index_dimensions,
mfi, mfid)
# Cache free index and dimensions
self.ufl_free_indices = fi
self.ufl_index_dimensions = fid
def reference_grad(self, g):
# d (grad_X(...(x)) / dx => grad_X(...(Argument(x.function_space()))
o = g
ngrads = 0
while isinstance(o, ReferenceGrad):
o, = o.ufl_operands
ngrads += 1
if not (isinstance(o, SpatialCoordinate)
or isinstance(o.ufl_operands[0], FormArgument)):
error("Expecting gradient of a FormArgument, not %s" %
ufl_err_str(o))
def apply_grads(f):
for i in range(ngrads):
f = ReferenceGrad(f)
return f
# Find o among all w without any indexing, which makes this
# easy
for (w, v) in zip(self._w, self._v):
if o == w and isinstance(v, ReferenceValue) and isinstance(
v.ufl_operands[0], FormArgument):
# Case: d/dt [w + t v]
return apply_grads(v)
return self.independent_terminal(o)
def expr(self, x):
"""The default is a nonlinear operator not accepting any
Arguments among its children."""
if _expr_has_terminal_types(x, Argument):
error("Found Argument in %s, this is an invalid expression." %
ufl_err_str(x))
return (x, set())
def division(self, x):
"Return parts_of_numerator/denominator."
# Get numerator and denominator
numerator, denominator = x.ufl_operands
# Check for Arguments in the denominator
if _expr_has_terminal_types(denominator, Argument):
error(
"Found Argument in denominator of %s , this is an invalid expression."
% ufl_err_str(x))
# Visit numerator
numerator_parts, provides = self.visit(numerator)
# If numerator is zero, return zero. (No need to check whether
# it provides too much, already checked by visit.)
if isinstance(numerator_parts, Zero):
return (zero_expr(x), set())
# Reuse x if possible, otherwise reconstruct from (parts of)
# numerator and denominator
x = self.reuse_if_possible(x, numerator_parts, denominator)
return (x, provides)
def __init__(self, name, left, right):
left = as_ufl(left)
right = as_ufl(right)
Condition.__init__(self, (left, right))
self._name = name
if name in ('!=', '=='):
# Since equals and not-equals are used for comparing
# representations, we have to allow any shape here. The
# scalar properties must be checked when used in
# conditional instead!
pass
elif name in ('&&', '||'):
# Binary operators acting on boolean expressions allow
# only conditions
for arg in (left, right):
if not isinstance(arg, Condition):
error("Expecting a Condition, not %s." % ufl_err_str(arg))
else:
# Binary operators acting on non-boolean expressions allow
# only scalars
if left.ufl_shape != () or right.ufl_shape != ():
error("Expecting scalar arguments.")
if left.ufl_free_indices != () or right.ufl_free_indices != ():
error("Expecting scalar arguments.")
def __init__(self, name, left, right):
left = as_ufl(left)
right = as_ufl(right)
Condition.__init__(self, (left, right))
self._name = name
if name in ('!=', '=='):
# Since equals and not-equals are used for comparing
# representations, we have to allow any shape here. The
# scalar properties must be checked when used in
# conditional instead!
pass
elif name in ('&&', '||'):
# Binary operators acting on boolean expressions allow
# only conditions
for arg in (left, right):
if not isinstance(arg, Condition):
error("Expecting a Condition, not %s." % ufl_err_str(arg))
else:
# Binary operators acting on non-boolean expressions allow
# only scalars
if left.ufl_shape != () or right.ufl_shape != ():
error("Expecting scalar arguments.")
if left.ufl_free_indices != () or right.ufl_free_indices != ():
error("Expecting scalar arguments.")
def __new__(cls, a, b):
# Conversion
a = as_ufl(a)
b = as_ufl(b)
# Type checking
# Make sure everything is scalar
if a.ufl_shape or b.ufl_shape:
error("Product can only represent products of scalars, "
"got\n\t%s\nand\n\t%s" % (ufl_err_str(a), ufl_err_str(b)))
# Simplification
if isinstance(a, Zero) or isinstance(b, Zero):
# Got any zeros? Return zero.
fi, fid = merge_unique_indices(a.ufl_free_indices,
a.ufl_index_dimensions,
b.ufl_free_indices,
b.ufl_index_dimensions)
return Zero((), fi, fid)
sa = isinstance(a, ScalarValue)
sb = isinstance(b, ScalarValue)
if sa and sb: # const * const = const
# FIXME: Handle free indices like with zero? I think
# IntValue may be index annotated now?
return as_ufl(a._value * b._value)
elif sa: # 1 * b = b
if a._value == 1:
return b
# a, b = a, b
elif sb: # a * 1 = a
if b._value == 1:
return a
a, b = b, a
# elif a == b: # a * a = a**2 # TODO: Why? Maybe just remove this?
# if not a.ufl_free_indices:
# return a**2
else: # a * b = b * a
# Sort operands in a semi-canonical order
# (NB! This is fragile! Small changes here can have large effects.)
a, b = sorted_expr((a, b))
# Construction
self = Operator.__new__(cls)
self._init(a, b)
return self
def __new__(cls, a, b):
# Checks
ash, bsh = a.ufl_shape, b.ufl_shape
if ash != bsh:
error("Shapes do not match: %s and %s." % (ufl_err_str(a), ufl_err_str(b)))
# Simplification
if isinstance(a, Zero) or isinstance(b, Zero):
fi, fid = merge_nonoverlapping_indices(a, b)
return Zero((), fi, fid)
elif ash == ():
return a * Conj(b)
# sort operands for unique representation,
# must be independent of various counts etc.
# as explained in cmp_expr
if (a, b) != tuple(sorted_expr((a, b))):
return Conj(Inner(b, a))
return CompoundTensorOperator.__new__(cls)
def __new__(cls, a, b):
# Checks
ash, bsh = a.ufl_shape, b.ufl_shape
if ash != bsh:
error("Shapes do not match: %s and %s." % (ufl_err_str(a), ufl_err_str(b)))
# Simplification
if isinstance(a, Zero) or isinstance(b, Zero):
fi, fid = merge_nonoverlapping_indices(a, b)
return Zero((), fi, fid)
elif ash == ():
return a*Conj(b)
# sort operands for unique representation,
# must be independent of various counts etc.
# as explained in cmp_expr
if (a, b) != tuple(sorted_expr((a, b))):
return Conj(Inner(b, a))
return CompoundTensorOperator.__new__(cls)
def __new__(cls, summand, index):
# Error checks
if not isinstance(summand, Expr):
error("Expecting Expr instance, got %s" % ufl_err_str(summand))
if not isinstance(index, MultiIndex):
error("Expecting MultiIndex instance, got %s" % ufl_err_str(index))
if len(index) != 1:
error("Expecting a single Index but got %d." % len(index))
# Simplification to zero
if isinstance(summand, Zero):
sh = summand.ufl_shape
j, = index
fi = summand.ufl_free_indices
fid = summand.ufl_index_dimensions
pos = fi.index(j.count())
fi = fi[:pos] + fi[pos + 1:]
fid = fid[:pos] + fid[pos + 1:]
return Zero(sh, fi, fid)
return Operator.__new__(cls)
def __new__(cls, summand, index):
# Error checks
if not isinstance(summand, Expr):
error("Expecting Expr instance, got %s" % ufl_err_str(summand))
if not isinstance(index, MultiIndex):
error("Expecting MultiIndex instance, got %s" % ufl_err_str(index))
if len(index) != 1:
error("Expecting a single Index but got %d." % len(index))
# Simplification to zero
if isinstance(summand, Zero):
sh = summand.ufl_shape
j, = index
fi = summand.ufl_free_indices
fid = summand.ufl_index_dimensions
pos = fi.index(j.count())
fi = fi[:pos] + fi[pos+1:]
fid = fid[:pos] + fid[pos+1:]
return Zero(sh, fi, fid)
return Operator.__new__(cls)
def __call__(self, *args, **kwargs):
"""UFL form operator: Evaluate form by replacing arguments and
coefficients.
Replaces form.arguments() with given positional arguments in
same number and ordering. Number of positional arguments must
be 0 or equal to the number of Arguments in the form.
The optional keyword argument coefficients can be set to a dict
to replace Coefficients with expressions of matching shapes.
Example:
V = FiniteElement("CG", triangle, 1)
v = TestFunction(V)
u = TrialFunction(V)
f = Coefficient(V)
g = Coefficient(V)
a = g*inner(grad(u), grad(v))*dx
M = a(f, f, coefficients={ g: 1 })
Is equivalent to M == grad(f)**2*dx.
"""
repdict = {}
if args:
arguments = self.arguments()
if len(arguments) != len(args):
error("Need %d arguments to form(), got %d." %
(len(arguments), len(args)))
repdict.update(zip(arguments, args))
coefficients = kwargs.pop("coefficients")
if kwargs:
error("Unknown kwargs %s." % str(list(kwargs)))
if coefficients is not None:
coeffs = self.coefficients()
for f in coefficients:
if f in coeffs:
repdict[f] = coefficients[f]
else:
warning("Coefficient %s is not in form." % ufl_err_str(f))
if repdict:
from ufl.formoperators import replace
return replace(self, repdict)
else:
return self
def __call__(self, *args, **kwargs):
"""UFL form operator: Evaluate form by replacing arguments and
coefficients.
Replaces form.arguments() with given positional arguments in
same number and ordering. Number of positional arguments must
be 0 or equal to the number of Arguments in the form.
The optional keyword argument coefficients can be set to a dict
to replace Coefficients with expressions of matching shapes.
Example:
V = FiniteElement("CG", triangle, 1)
v = TestFunction(V)
u = TrialFunction(V)
f = Coefficient(V)
g = Coefficient(V)
a = g*inner(grad(u), grad(v))*dx
M = a(f, f, coefficients={ g: 1 })
Is equivalent to M == grad(f)**2*dx.
"""
repdict = {}
if args:
arguments = self.arguments()
if len(arguments) != len(args):
error("Need %d arguments to form(), got %d." % (len(arguments),
len(args)))
repdict.update(zip(arguments, args))
coefficients = kwargs.pop("coefficients")
if kwargs:
error("Unknown kwargs %s." % str(list(kwargs)))
if coefficients is not None:
coeffs = self.coefficients()
for f in coefficients:
if f in coeffs:
repdict[f] = coefficients[f]
else:
warning("Coefficient %s is not in form." % ufl_err_str(f))
if repdict:
from ufl.formoperators import replace
return replace(self, repdict)
else:
return self
def reference_grad(self, g):
# d (grad_X(...(x)) / dx => grad_X(...(Argument(x.function_space()))
o = g
ngrads = 0
while isinstance(o, ReferenceGrad):
o, = o.ufl_operands
ngrads += 1
if not (isinstance(o, SpatialCoordinate) or isinstance(o.ufl_operands[0], FormArgument)):
error("Expecting gradient of a FormArgument, not %s" % ufl_err_str(o))
def apply_grads(f):
for i in range(ngrads):
f = ReferenceGrad(f)
return f
# Find o among all w without any indexing, which makes this
# easy
for (w, v) in zip(self._w, self._v):
if o == w and isinstance(v, ReferenceValue) and isinstance(v.ufl_operands[0], FormArgument):
# Case: d/dt [w + t v]
return apply_grads(v)
return self.independent_terminal(o)
def _handle_derivative_arguments(form, coefficient, argument):
# Wrap single coefficient in tuple for uniform treatment below
if isinstance(coefficient, (list, tuple, ListTensor)):
coefficients = tuple(coefficient)
else:
coefficients = (coefficient,)
if argument is None:
# Try to create argument if not provided
if not all(isinstance(c, Coefficient) for c in coefficients):
error("Can only create arguments automatically for non-indexed coefficients.")
# Get existing arguments from form and position the new one
# with the next argument number
if isinstance(form, Form):
form_arguments = form.arguments()
else:
# To handle derivative(expression), which is at least used
# in tests. Remove?
form_arguments = extract_arguments(form)
numbers = sorted(set(arg.number() for arg in form_arguments))
number = max(numbers + [-1]) + 1
# Don't know what to do with parts, let the user sort it out
# in that case
parts = set(arg.part() for arg in form_arguments)
if len(parts - {None}) != 0:
error("Not expecting parts here, provide your own arguments.")
part = None
# Create argument and split it if in a mixed space
function_spaces = [c.ufl_function_space() for c in coefficients]
domains = [fs.ufl_domain() for fs in function_spaces]
elements = [fs.ufl_element() for fs in function_spaces]
if len(function_spaces) == 1:
arguments = (Argument(function_spaces[0], number, part),)
else:
# Create in mixed space over assumed (for now) same domain
assert all(fs.ufl_domain() == domains[0] for fs in function_spaces)
elm = MixedElement(*elements)
fs = FunctionSpace(domains[0], elm)
arguments = split(Argument(fs, number, part))
else:
# Wrap single argument in tuple for uniform treatment below
if isinstance(argument, (list, tuple)):
arguments = tuple(argument)
else:
n = len(coefficients)
if n == 1:
arguments = (argument,)
else:
if argument.ufl_shape == (n,):
arguments = tuple(argument[i] for i in range(n))
else:
arguments = split(argument)
# Build mapping from coefficient to argument
m = {}
for (c, a) in zip(coefficients, arguments):
if c.ufl_shape != a.ufl_shape:
error("Coefficient and argument shapes do not match!")
if isinstance(c, Coefficient) or isinstance(c, SpatialCoordinate):
m[c] = a
else:
if not isinstance(c, Indexed):
error("Invalid coefficient type for %s" % ufl_err_str(c))
f, i = c.ufl_operands
if not isinstance(f, Coefficient):
error("Expecting an indexed coefficient, not %s" % ufl_err_str(f))
if not (isinstance(i, MultiIndex) and all(isinstance(j, FixedIndex) for j in i)):
error("Expecting one or more fixed indices, not %s" % ufl_err_str(i))
i = tuple(int(j) for j in i)
if f not in m:
m[f] = {}
m[f][i] = a
# Merge coefficient derivatives (arguments) based on indices
for c, p in m.items():
if isinstance(p, dict):
a = zero_lists(c.ufl_shape)
for i, g in p.items():
set_list_item(a, i, g)
m[c] = as_tensor(a)
# Wrap and return generic tuples
items = sorted(m.items(), key=lambda x: x[0].count())
coefficients = ExprList(*[item[0] for item in items])
arguments = ExprList(*[item[1] for item in items])
return coefficients, arguments
def expecting_terminal(v):
error("Expecting Terminal instance, not %s." % ufl_err_str(v))
def expecting_true_ufl_scalar(v):
error("Expecting UFL scalar expression with no free indices, not %s." %
ufl_err_str(v))
def expecting_python_scalar(v):
error("Expecting Python scalar, not %s." % ufl_err_str(v))
def expecting_expr(v):
error("Expecting Expr instance, not %s." % ufl_err_str(v))
def grad(self, g):
# If we hit this type, it has already been propagated to a
# coefficient (or grad of a coefficient), # FIXME: Assert
# this! so we need to take the gradient of the variation or
# return zero. Complications occur when dealing with
# derivatives w.r.t. single components...
# Figure out how many gradients are around the inner terminal
ngrads = 0
o = g
while isinstance(o, Grad):
o, = o.ufl_operands
ngrads += 1
if not isinstance(o, FormArgument):
error("Expecting gradient of a FormArgument, not %s" % ufl_err_str(o))
def apply_grads(f):
for i in range(ngrads):
f = Grad(f)
return f
# Find o among all w without any indexing, which makes this
# easy
for (w, v) in zip(self._w, self._v):
if o == w and isinstance(v, FormArgument):
# Case: d/dt [w + t v]
return apply_grads(v)
# If o is not among coefficient derivatives, return do/dw=0
gprimesum = Zero(g.ufl_shape)
def analyse_variation_argument(v):
# Analyse variation argument
if isinstance(v, FormArgument):
# Case: d/dt [w[...] + t v]
vval, vcomp = v, ()
elif isinstance(v, Indexed):
# Case: d/dt [w + t v[...]]
# Case: d/dt [w[...] + t v[...]]
vval, vcomp = v.ufl_operands
vcomp = tuple(vcomp)
else:
error("Expecting argument or component of argument.")
if not all(isinstance(k, FixedIndex) for k in vcomp):
error("Expecting only fixed indices in variation.")
return vval, vcomp
def compute_gprimeterm(ngrads, vval, vcomp, wshape, wcomp):
# Apply gradients directly to argument vval, and get the
# right indexed scalar component(s)
kk = indices(ngrads)
Dvkk = apply_grads(vval)[vcomp+kk]
# Place scalar component(s) Dvkk into the right tensor
# positions
if wshape:
Ejj, jj = unit_indexed_tensor(wshape, wcomp)
else:
Ejj, jj = 1, ()
gprimeterm = as_tensor(Ejj*Dvkk, jj+kk)
return gprimeterm
# Accumulate contributions from variations in different
# components
for (w, v) in zip(self._w, self._v):
# Analyse differentiation variable coefficient
if isinstance(w, FormArgument):
if not w == o:
continue
wshape = w.ufl_shape
if isinstance(v, FormArgument):
# Case: d/dt [w + t v]
return apply_grads(v)
elif isinstance(v, ListTensor):
# Case: d/dt [w + t <...,v,...>]
for wcomp, vsub in unwrap_list_tensor(v):
if not isinstance(vsub, Zero):
vval, vcomp = analyse_variation_argument(vsub)
gprimesum = gprimesum + compute_gprimeterm(ngrads, vval, vcomp, wshape, wcomp)
else:
if wshape != ():
error("Expecting scalar coefficient in this branch.")
# Case: d/dt [w + t v[...]]
wval, wcomp = w, ()
vval, vcomp = analyse_variation_argument(v)
gprimesum = gprimesum + compute_gprimeterm(ngrads, vval,
vcomp, wshape,
wcomp)
elif isinstance(w, Indexed): # This path is tested in unit tests, but not actually used?
# Case: d/dt [w[...] + t v[...]]
# Case: d/dt [w[...] + t v]
wval, wcomp = w.ufl_operands
if not wval == o:
continue
assert isinstance(wval, FormArgument)
if not all(isinstance(k, FixedIndex) for k in wcomp):
error("Expecting only fixed indices in differentiation variable.")
wshape = wval.ufl_shape
vval, vcomp = analyse_variation_argument(v)
gprimesum = gprimesum + compute_gprimeterm(ngrads, vval, vcomp, wshape, wcomp)
else:
error("Expecting coefficient or component of coefficient.")
# FIXME: Handle other coefficient derivatives: oprimes =
# self._cd.get(o)
if 0:
oprimes = self._cd.get(o)
if oprimes is None:
if self._cd:
# TODO: Make it possible to silence this message
# in particular? It may be good to have for
# debugging...
warning("Assuming d{%s}/d{%s} = 0." % (o, self._w))
else:
# Make sure we have a tuple to match the self._v tuple
if not isinstance(oprimes, tuple):
oprimes = (oprimes,)
if len(oprimes) != len(self._v):
error("Got a tuple of arguments, expecting a"
" matching tuple of coefficient derivatives.")
# Compute dg/dw_j = dg/dw_h : v.
# Since we may actually have a tuple of oprimes and vs
# in a 'mixed' space, sum over them all to get the
# complete inner product. Using indices to define a
# non-compound inner product.
for (oprime, v) in zip(oprimes, self._v):
error("FIXME: Figure out how to do this with ngrads")
so, oi = as_scalar(oprime)
rv = len(v.ufl_shape)
oi1 = oi[:-rv]
oi2 = oi[-rv:]
prod = so*v[oi2]
if oi1:
gprimesum += as_tensor(prod, oi1)
else:
gprimesum += prod
return gprimesum
def expr(self, x):
"""The default is a nonlinear operator not accepting any
Arguments among its children."""
if _expr_has_terminal_types(x, Argument):
error("Found Argument in %s, this is an invalid expression." % ufl_err_str(x))
return (x, set())
def __getitem__(self, key):
error(
"Attempting to index with %s, but object is already indexed: %s" %
(ufl_err_str(key), ufl_err_str(self)))
def validate_form(
form
): # TODO: Can we make this return a list of errors instead of raising exception?
"""Performs all implemented validations on a form. Raises exception if something fails."""
errors = []
if not isinstance(form, Form):
msg = "Validation failed, not a Form:\n%s" % ufl_err_str(form)
error(msg)
# errors.append(msg)
# return errors
# FIXME: There's a bunch of other checks we should do here.
# FIXME: Add back check for multilinearity
# Check that form is multilinear
# if not is_multilinear(form):
# errors.append("Form is not multilinear in arguments.")
# FIXME DOMAIN: Add check for consistency between domains somehow
domains = set(t.ufl_domain() for e in iter_expressions(form)
for t in traverse_unique_terminals(e)) - {None}
if not domains:
errors.append("Missing domain definition in form.")
# Check that cell is the same everywhere
cells = set(dom.ufl_cell() for dom in domains) - {None}
if not cells:
errors.append("Missing cell definition in form.")
elif len(cells) > 1:
errors.append("Multiple cell definitions in form: %s" % str(cells))
# Check that no Coefficient or Argument instance have the same
# count unless they are the same
coefficients = {}
arguments = {}
for e in iter_expressions(form):
for f in traverse_unique_terminals(e):
if isinstance(f, Coefficient):
c = f.count()
if c in coefficients:
g = coefficients[c]
if f is not g:
errors.append("Found different Coefficients with " +
"same count: %s and %s." %
(repr(f), repr(g)))
else:
coefficients[c] = f
elif isinstance(f, Argument):
n = f.number()
p = f.part()
if (n, p) in arguments:
g = arguments[(n, p)]
if f is not g:
if n == 0:
msg = "TestFunctions"
elif n == 1:
msg = "TrialFunctions"
else:
msg = "Arguments with same number and part"
msg = "Found different %s: %s and %s." % (msg, repr(f),
repr(g))
errors.append(msg)
else:
arguments[(n, p)] = f
# Check that all integrands are scalar
for expression in iter_expressions(form):
if not is_true_ufl_scalar(expression):
errors.append("Found non-scalar integrand expression: %s\n" %
ufl_err_str(expression))
# Check that restrictions are permissible
for integral in form.integrals():
# Only allow restrictions on interior facet integrals and
# surface measures
if integral.integral_type().startswith("interior_facet"):
check_restrictions(integral.integrand(), True)
else:
check_restrictions(integral.integrand(), False)
# Raise exception with all error messages
# TODO: Return errors list instead, need to collect messages from
# all validations above first.
if errors:
final_msg = 'Found errors in validation of form:\n%s' % '\n\n'.join(
errors)
error(final_msg)
def expecting_true_ufl_scalar(v):
error("Expecting UFL scalar expression with no free indices, not %s." % ufl_err_str(v))
def expecting_terminal(v):
error("Expecting Terminal instance, not %s." % ufl_err_str(v))
def validate_form(form): # TODO: Can we make this return a list of errors instead of raising exception?
"""Performs all implemented validations on a form. Raises exception if something fails."""
errors = []
if not isinstance(form, Form):
msg = "Validation failed, not a Form:\n%s" % ufl_err_str(form)
error(msg)
# errors.append(msg)
# return errors
# FIXME: There's a bunch of other checks we should do here.
# FIXME: Add back check for multilinearity
# Check that form is multilinear
# if not is_multilinear(form):
# errors.append("Form is not multilinear in arguments.")
# FIXME DOMAIN: Add check for consistency between domains somehow
domains = set(t.ufl_domain()
for e in iter_expressions(form)
for t in traverse_unique_terminals(e)) - {None}
if not domains:
errors.append("Missing domain definition in form.")
# Check that cell is the same everywhere
cells = set(dom.ufl_cell() for dom in domains) - {None}
if not cells:
errors.append("Missing cell definition in form.")
elif len(cells) > 1:
errors.append("Multiple cell definitions in form: %s" % str(cells))
# Check that no Coefficient or Argument instance have the same
# count unless they are the same
coefficients = {}
arguments = {}
for e in iter_expressions(form):
for f in traverse_unique_terminals(e):
if isinstance(f, Coefficient):
c = f.count()
if c in coefficients:
g = coefficients[c]
if f is not g:
errors.append("Found different Coefficients with " +
"same count: %s and %s." % (repr(f),
repr(g)))
else:
coefficients[c] = f
elif isinstance(f, Argument):
n = f.number()
p = f.part()
if (n, p) in arguments:
g = arguments[(n, p)]
if f is not g:
if n == 0:
msg = "TestFunctions"
elif n == 1:
msg = "TrialFunctions"
else:
msg = "Arguments with same number and part"
msg = "Found different %s: %s and %s." % (msg, repr(f), repr(g))
errors.append(msg)
else:
arguments[(n, p)] = f
# Check that all integrands are scalar
for expression in iter_expressions(form):
if not is_true_ufl_scalar(expression):
errors.append("Found non-scalar integrand expression: %s\n" %
ufl_err_str(expression))
# Check that restrictions are permissible
for integral in form.integrals():
# Only allow restrictions on interior facet integrals and
# surface measures
if integral.integral_type().startswith("interior_facet"):
check_restrictions(integral.integrand(), True)
else:
check_restrictions(integral.integrand(), False)
# Raise exception with all error messages
# TODO: Return errors list instead, need to collect messages from
# all validations above first.
if errors:
final_msg = 'Found errors in validation of form:\n%s' % '\n\n'.join(errors)
error(final_msg)
def __init__(self, a):
Operator.__init__(self, (a, ))
if not isinstance(a, Expr):
error("Expecting Expr instance, not %s." % ufl_err_str(a))
def as_form(form):
"Convert to form if not a form, otherwise return form."
if not isinstance(form, Form):
error("Unable to convert object to a UFL form: %s" % ufl_err_str(form))
return form
def as_form(form):
"Convert to form if not a form, otherwise return form."
if not isinstance(form, Form):
error("Unable to convert object to a UFL form: %s" % ufl_err_str(form))
return form
def sub_forms_by_domain(form):
"Return a list of forms each with an integration domain"
if not isinstance(form, Form):
error("Unable to convert object to a UFL form: %s" % ufl_err_str(form))
return [Form(form.integrals_by_domain(domain)) for domain in form.ufl_domains()]
def _handle_derivative_arguments(form, coefficient, argument):
# Wrap single coefficient in tuple for uniform treatment below
if isinstance(coefficient, (list, tuple, ListTensor)):
coefficients = tuple(coefficient)
else:
coefficients = (coefficient,)
if argument is None:
# Try to create argument if not provided
if not all(isinstance(c, Coefficient) for c in coefficients):
error("Can only create arguments automatically for non-indexed coefficients.")
# Get existing arguments from form and position the new one
# with the next argument number
if isinstance(form, Form):
form_arguments = form.arguments()
else:
# To handle derivative(expression), which is at least used
# in tests. Remove?
form_arguments = extract_arguments(form)
numbers = sorted(set(arg.number() for arg in form_arguments))
number = max(numbers + [-1]) + 1
# Don't know what to do with parts, let the user sort it out
# in that case
parts = set(arg.part() for arg in form_arguments)
if len(parts - {None}) != 0:
error("Not expecting parts here, provide your own arguments.")
part = None
# Create argument and split it if in a mixed space
function_spaces = [c.ufl_function_space() for c in coefficients]
domains = [fs.ufl_domain() for fs in function_spaces]
elements = [fs.ufl_element() for fs in function_spaces]
if len(function_spaces) == 1:
arguments = (Argument(function_spaces[0], number, part),)
else:
# Create in mixed space over assumed (for now) same domain
assert all(fs.ufl_domain() == domains[0] for fs in function_spaces)
elm = MixedElement(*elements)
fs = FunctionSpace(domains[0], elm)
arguments = split(Argument(fs, number, part))
else:
# Wrap single argument in tuple for uniform treatment below
if isinstance(argument, (list, tuple)):
arguments = tuple(argument)
else:
n = len(coefficients)
if n == 1:
arguments = (argument,)
else:
if argument.ufl_shape == (n,):
arguments = tuple(argument[i] for i in range(n))
else:
arguments = split(argument)
# Build mapping from coefficient to argument
m = {}
for (c, a) in zip(coefficients, arguments):
if c.ufl_shape != a.ufl_shape:
error("Coefficient and argument shapes do not match!")
if isinstance(c, Coefficient) or isinstance(c, SpatialCoordinate):
m[c] = a
else:
if not isinstance(c, Indexed):
error("Invalid coefficient type for %s" % ufl_err_str(c))
f, i = c.ufl_operands
if not isinstance(f, Coefficient):
error("Expecting an indexed coefficient, not %s" % ufl_err_str(f))
if not (isinstance(i, MultiIndex) and all(isinstance(j, FixedIndex) for j in i)):
error("Expecting one or more fixed indices, not %s" % ufl_err_str(i))
i = tuple(int(j) for j in i)
if f not in m:
m[f] = {}
m[f][i] = a
# Merge coefficient derivatives (arguments) based on indices
for c, p in m.items():
if isinstance(p, dict):
a = zero_lists(c.ufl_shape)
for i, g in p.items():
set_list_item(a, i, g)
m[c] = as_tensor(a)
# Wrap and return generic tuples
items = sorted(m.items(), key=lambda x: x[0].count())
coefficients = ExprList(*[item[0] for item in items])
arguments = ExprList(*[item[1] for item in items])
return coefficients, arguments
def expecting_instance(v, c):
error("Expecting %s instance, not %s." % (c.__name__, ufl_err_str(v)))
def expecting_instance(v, c):
error("Expecting %s instance, not %s." % (c.__name__, ufl_err_str(v)))
def division(self, x):
"Return parts_of_numerator/denominator."
# Get numerator and denominator
numerator, denominator = x.ufl_operands
# Check for Arguments in the denominator
if _expr_has_terminal_types(denominator, Argument):
error("Found Argument in denominator of %s , this is an invalid expression." % ufl_err_str(x))
# Visit numerator
numerator_parts, provides = self.visit(numerator)
# If numerator is zero, return zero. (No need to check whether
# it provides too much, already checked by visit.)
if isinstance(numerator_parts, Zero):
return (zero_expr(x), set())
# Reuse x if possible, otherwise reconstruct from (parts of)
# numerator and denominator
x = self.reuse_if_possible(x, numerator_parts, denominator)
return (x, provides)
def expecting_python_scalar(v):
error("Expecting Python scalar, not %s." % ufl_err_str(v))
def expecting_expr(v):
error("Expecting Expr instance, not %s." % ufl_err_str(v))
def grad(self, g):
# If we hit this type, it has already been propagated to a
# coefficient (or grad of a coefficient), # FIXME: Assert
# this! so we need to take the gradient of the variation or
# return zero. Complications occur when dealing with
# derivatives w.r.t. single components...
# Figure out how many gradients are around the inner terminal
ngrads = 0
o = g
while isinstance(o, Grad):
o, = o.ufl_operands
ngrads += 1
if not isinstance(o, FormArgument):
error("Expecting gradient of a FormArgument, not %s" %
ufl_err_str(o))
def apply_grads(f):
for i in range(ngrads):
f = Grad(f)
return f
# Find o among all w without any indexing, which makes this
# easy
for (w, v) in zip(self._w, self._v):
if o == w and isinstance(v, FormArgument):
# Case: d/dt [w + t v]
return apply_grads(v)
# If o is not among coefficient derivatives, return do/dw=0
gprimesum = Zero(g.ufl_shape)
def analyse_variation_argument(v):
# Analyse variation argument
if isinstance(v, FormArgument):
# Case: d/dt [w[...] + t v]
vval, vcomp = v, ()
elif isinstance(v, Indexed):
# Case: d/dt [w + t v[...]]
# Case: d/dt [w[...] + t v[...]]
vval, vcomp = v.ufl_operands
vcomp = tuple(vcomp)
else:
error("Expecting argument or component of argument.")
if not all(isinstance(k, FixedIndex) for k in vcomp):
error("Expecting only fixed indices in variation.")
return vval, vcomp
def compute_gprimeterm(ngrads, vval, vcomp, wshape, wcomp):
# Apply gradients directly to argument vval, and get the
# right indexed scalar component(s)
kk = indices(ngrads)
Dvkk = apply_grads(vval)[vcomp + kk]
# Place scalar component(s) Dvkk into the right tensor
# positions
if wshape:
Ejj, jj = unit_indexed_tensor(wshape, wcomp)
else:
Ejj, jj = 1, ()
gprimeterm = as_tensor(Ejj * Dvkk, jj + kk)
return gprimeterm
# Accumulate contributions from variations in different
# components
for (w, v) in zip(self._w, self._v):
# Analyse differentiation variable coefficient
if isinstance(w, FormArgument):
if not w == o:
continue
wshape = w.ufl_shape
if isinstance(v, FormArgument):
# Case: d/dt [w + t v]
return apply_grads(v)
elif isinstance(v, ListTensor):
# Case: d/dt [w + t <...,v,...>]
for wcomp, vsub in unwrap_list_tensor(v):
if not isinstance(vsub, Zero):
vval, vcomp = analyse_variation_argument(vsub)
gprimesum = gprimesum + compute_gprimeterm(
ngrads, vval, vcomp, wshape, wcomp)
else:
if wshape != ():
error("Expecting scalar coefficient in this branch.")
# Case: d/dt [w + t v[...]]
wval, wcomp = w, ()
vval, vcomp = analyse_variation_argument(v)
gprimesum = gprimesum + compute_gprimeterm(
ngrads, vval, vcomp, wshape, wcomp)
elif isinstance(
w, Indexed
): # This path is tested in unit tests, but not actually used?
# Case: d/dt [w[...] + t v[...]]
# Case: d/dt [w[...] + t v]
wval, wcomp = w.ufl_operands
if not wval == o:
continue
assert isinstance(wval, FormArgument)
if not all(isinstance(k, FixedIndex) for k in wcomp):
error(
"Expecting only fixed indices in differentiation variable."
)
wshape = wval.ufl_shape
vval, vcomp = analyse_variation_argument(v)
gprimesum = gprimesum + compute_gprimeterm(
ngrads, vval, vcomp, wshape, wcomp)
else:
error("Expecting coefficient or component of coefficient.")
# FIXME: Handle other coefficient derivatives: oprimes =
# self._cd.get(o)
if 0:
oprimes = self._cd.get(o)
if oprimes is None:
if self._cd:
# TODO: Make it possible to silence this message
# in particular? It may be good to have for
# debugging...
warning("Assuming d{%s}/d{%s} = 0." % (o, self._w))
else:
# Make sure we have a tuple to match the self._v tuple
if not isinstance(oprimes, tuple):
oprimes = (oprimes, )
if len(oprimes) != len(self._v):
error("Got a tuple of arguments, expecting a"
" matching tuple of coefficient derivatives.")
# Compute dg/dw_j = dg/dw_h : v.
# Since we may actually have a tuple of oprimes and vs
# in a 'mixed' space, sum over them all to get the
# complete inner product. Using indices to define a
# non-compound inner product.
for (oprime, v) in zip(oprimes, self._v):
error("FIXME: Figure out how to do this with ngrads")
so, oi = as_scalar(oprime)
rv = len(v.ufl_shape)
oi1 = oi[:-rv]
oi2 = oi[-rv:]
prod = so * v[oi2]
if oi1:
gprimesum += as_tensor(prod, oi1)
else:
gprimesum += prod
return gprimesum
def __getitem__(self, key):
error("Attempting to index with %s, but object is already indexed: %s" % (ufl_err_str(key), ufl_err_str(self)))
