本文整理汇总了Python中sympy.assumptions.Q.diagonal方法的典型用法代码示例。如果您正苦于以下问题：Python Q.diagonal方法的具体用法？Python Q.diagonal怎么用？Python Q.diagonal使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类sympy.assumptions.Q的用法示例。
在下文中一共展示了Q.diagonal方法的11个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: MatrixSlice
# 需要导入模块: from sympy.assumptions import Q [as 别名]
# 或者: from sympy.assumptions.Q import diagonal [as 别名]
def MatrixSlice(expr, assumptions):
if AskDiagonalHandler._is_empty_or_1x1(expr):
return True
if not expr.on_diag:
return None
else:
return ask(Q.diagonal(expr.parent), assumptions)示例2: MatrixSymbol
# 需要导入模块: from sympy.assumptions import Q [as 别名]
# 或者: from sympy.assumptions.Q import diagonal [as 别名]
def MatrixSymbol(expr, assumptions):
if not expr.is_square:
return False
# TODO: implement sathandlers system for the matrices.
# Now it duplicates the general fact: Implies(Q.diagonal, Q.symmetric).
if ask(Q.diagonal(expr), assumptions):
return True
if Q.symmetric(expr) in conjuncts(assumptions):
return True示例3: MatPow
# 需要导入模块: from sympy.assumptions import Q [as 别名]
# 或者: from sympy.assumptions.Q import diagonal [as 别名]
def MatPow(expr, assumptions):
# only for integer powers
base, exp = expr.args
int_exp = ask(Q.integer(exp), assumptions)
if not int_exp:
return None
non_negative = ask(~Q.negative(exp), assumptions)
if (non_negative or non_negative == False
and ask(Q.invertible(base), assumptions)):
return ask(Q.diagonal(base), assumptions)
return None示例4: MatMul
# 需要导入模块: from sympy.assumptions import Q [as 别名]
# 或者: from sympy.assumptions.Q import diagonal [as 别名]
def MatMul(expr, assumptions):
factor, mmul = expr.as_coeff_mmul()
if all(ask(Q.symmetric(arg), assumptions) for arg in mmul.args):
return True
# TODO: implement sathandlers system for the matrices.
# Now it duplicates the general fact: Implies(Q.diagonal, Q.symmetric).
if ask(Q.diagonal(expr), assumptions):
return True
if len(mmul.args) >= 2 and mmul.args[0] == mmul.args[-1].T:
if len(mmul.args) == 2:
return True
return ask(Q.symmetric(MatMul(*mmul.args[1:-1])), assumptions)示例5: doit
# 需要导入模块: from sympy.assumptions import Q [as 别名]
# 或者: from sympy.assumptions.Q import diagonal [as 别名]
def doit(self, **hints):
from sympy.assumptions import ask, Q
from sympy import Transpose, Mul, MatMul
vector = self._vector
# This accounts for shape (1, 1) and identity matrices, among others:
if ask(Q.diagonal(vector)):
return vector
if vector.is_MatMul:
matrices = [arg for arg in vector.args if arg.is_Matrix]
scalars = [arg for arg in vector.args if arg not in matrices]
if scalars:
return Mul.fromiter(scalars)*DiagonalizeVector(MatMul.fromiter(matrices).doit()).doit()
if isinstance(vector, Transpose):
vector = vector.arg
return DiagonalizeVector(vector)示例6: MatrixSlice
# 需要导入模块: from sympy.assumptions import Q [as 别名]
# 或者: from sympy.assumptions.Q import diagonal [as 别名]
def MatrixSlice(expr, assumptions):
if not expr.on_diag:
return None
else:
return ask(Q.diagonal(expr.parent), assumptions)示例7: Inverse
# 需要导入模块: from sympy.assumptions import Q [as 别名]
# 或者: from sympy.assumptions.Q import diagonal [as 别名]
def Inverse(expr, assumptions):
return ask(Q.diagonal(expr.arg), assumptions)示例8: Transpose
# 需要导入模块: from sympy.assumptions import Q [as 别名]
# 或者: from sympy.assumptions.Q import diagonal [as 别名]
def Transpose(expr, assumptions):
return ask(Q.diagonal(expr.arg), assumptions)示例9: MatrixSymbol
# 需要导入模块: from sympy.assumptions import Q [as 别名]
# 或者: from sympy.assumptions.Q import diagonal [as 别名]
def MatrixSymbol(expr, assumptions):
if Q.diagonal(expr) in conjuncts(assumptions):
return True示例10: MatAdd
# 需要导入模块: from sympy.assumptions import Q [as 别名]
# 或者: from sympy.assumptions.Q import diagonal [as 别名]
def MatAdd(expr, assumptions):
if all(ask(Q.diagonal(arg), assumptions) for arg in expr.args):
return True示例11: MatMul
# 需要导入模块: from sympy.assumptions import Q [as 别名]
# 或者: from sympy.assumptions.Q import diagonal [as 别名]
def MatMul(expr, assumptions):
factor, matrices = expr.as_coeff_matrices()
if all(ask(Q.diagonal(m), assumptions) for m in matrices):
return True