本文整理汇总了Python中expr.Expr._from_mpmath方法的典型用法代码示例。如果您正苦于以下问题：Python Expr._from_mpmath方法的具体用法？Python Expr._from_mpmath怎么用？Python Expr._from_mpmath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expr.Expr的用法示例。
在下文中一共展示了Expr._from_mpmath方法的3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: _eval_evalf
# 需要导入模块: from expr import Expr [as 别名]
# 或者: from expr.Expr import _from_mpmath [as 别名]
def _eval_evalf(self, prec):
# Lookup mpmath function based on name
fname = self.func.__name__
try:
if not hasattr(mpmath, fname):
from sympy.utilities.lambdify import MPMATH_TRANSLATIONS
fname = MPMATH_TRANSLATIONS[fname]
func = getattr(mpmath, fname)
except (AttributeError, KeyError):
try:
return C.Real(self._imp_(*self.args), prec)
except (AttributeError, TypeError):
return
# Convert all args to mpf or mpc
try:
args = [arg._to_mpmath(prec) for arg in self.args]
except ValueError:
return
# Set mpmath precision and apply. Make sure precision is restored
# afterwards
orig = mpmath.mp.prec
try:
mpmath.mp.prec = prec
v = func(*args)
finally:
mpmath.mp.prec = orig
return Expr._from_mpmath(v, prec)示例2: doit_numerically
# 需要导入模块: from expr import Expr [as 别名]
# 或者: from expr.Expr import _from_mpmath [as 别名]
def doit_numerically(self, z0):
"""
Evaluate the derivative at z numerically.
When we can represent derivatives at a point, this should be folded
into the normal evalf. For now, we need a special method.
"""
from sympy import mpmath
from sympy.core.expr import Expr
if len(self.free_symbols) != 1 or len(self.variables) != 1:
raise NotImplementedError('partials and higher order derivatives')
z = list(self.free_symbols)[0]
def eval(x):
f0 = self.expr.subs(z, Expr._from_mpmath(x, prec=mpmath.mp.prec))
f0 = f0.evalf(mlib.libmpf.prec_to_dps(mpmath.mp.prec))
return f0._to_mpmath(mpmath.mp.prec)
return Expr._from_mpmath(mpmath.diff(eval, z0._to_mpmath(mpmath.mp.prec)),
mpmath.mp.prec)示例3: eval
# 需要导入模块: from expr import Expr [as 别名]
# 或者: from expr.Expr import _from_mpmath [as 别名]
def eval(x):
f0 = self.expr.subs(z, Expr._from_mpmath(x, prec=mpmath.mp.prec))
f0 = f0.evalf(mlib.libmpf.prec_to_dps(mpmath.mp.prec))
return f0._to_mpmath(mpmath.mp.prec)