def __new__(cls, function, expr):
expr = _sympify(expr)
if not expr.is_Matrix:
raise ValueError("{} must be a matrix instance.".format(expr))
if not isinstance(function, (FunctionClass, Lambda)):
d = Dummy('d')
function = Lambda(d, function(d))
function = sympify(function)
if not isinstance(function, (FunctionClass, Lambda)):
raise ValueError(
"{} should be compatible with SymPy function classes."
.format(function))
if 1 not in function.nargs:
raise ValueError(
'{} should be able to accept 1 arguments.'.format(function))
if not isinstance(function, Lambda):
d = Dummy('d')
function = Lambda(d, function(d))
obj = MatrixExpr.__new__(cls, function, expr)
return obj
def __new__(cls, vector):
obj = MatrixExpr.__new__(cls, vector)
shape = vector.shape
dim = shape[1] if shape[0] == 1 else shape[0]
obj._shape = (dim, dim)
obj._vector = vector
return obj
def __new__(cls, function, expr):
expr = _sympify(expr)
if not expr.is_Matrix:
raise ValueError("{} must be a matrix instance.".format(expr))
if expr.shape == (1, 1):
# Check if the function returns a matrix, in that case, just apply
# the function instead of creating an ElementwiseApplyFunc object:
ret = function(expr)
if isinstance(ret, MatrixExpr):
return ret
if not isinstance(function, (FunctionClass, Lambda)):
d = Dummy('d')
function = Lambda(d, function(d))
function = sympify(function)
if not isinstance(function, (FunctionClass, Lambda)):
raise ValueError(
"{} should be compatible with SymPy function classes.".format(
function))
if 1 not in function.nargs:
raise ValueError(
'{} should be able to accept 1 arguments.'.format(function))
if not isinstance(function, Lambda):
d = Dummy('d')
function = Lambda(d, function(d))
obj = MatrixExpr.__new__(cls, function, expr)
return obj
def __new__(cls, function, expr):
obj = MatrixExpr.__new__(cls, expr)
if not isinstance(function, FunctionClass):
d = Dummy("d")
function = Lambda(d, function(d))
obj._function = function
obj._expr = expr
return obj
def __new__(cls, function, expr):
obj = MatrixExpr.__new__(cls, expr)
if not isinstance(function, FunctionClass):
d = Dummy("d")
function = Lambda(d, function(d))
obj._function = function
obj._expr = expr
return obj
def __new__(cls, vector):
obj = MatrixExpr.__new__(cls, vector)
shape = vector.shape
dim = shape[1] if shape[0] == 1 else shape[0]
if vector.shape[0] != 1:
obj._iscolumn = True
else:
obj._iscolumn = False
obj._shape = (dim, dim)
obj._vector = vector
return obj
def __new__(cls, vector):
vector = _sympify(vector)
obj = MatrixExpr.__new__(cls, vector)
shape = vector.shape
dim = shape[1] if shape[0] == 1 else shape[0]
if vector.shape[0] != 1:
obj._iscolumn = True
else:
obj._iscolumn = False
obj._shape = (dim, dim)
obj._vector = vector
return obj
def __new__(cls, function, expr):
obj = MatrixExpr.__new__(cls, function, expr)
obj._function = function
obj._expr = expr
return obj
def __new__(cls, function, expr):
obj = MatrixExpr.__new__(cls, function, expr)
obj._function = function
obj._expr = expr
return obj
