本文整理匯總了Python中sympy.mpmath.mp.dps方法的典型用法代碼示例。如果您正苦於以下問題：Python mp.dps方法的具體用法？Python mp.dps怎麽用？Python mp.dps使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類sympy.mpmath.mp的用法示例。
在下文中一共展示了mp.dps方法的1個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: compute_log_moment
# 需要導入模塊: from sympy.mpmath import mp [as 別名]
# 或者: from sympy.mpmath.mp import dps [as 別名]
def compute_log_moment(q, sigma, steps, lmbd, verify=False, verbose=False):
"""Compute the log moment of Gaussian mechanism for given parameters.
Args:
q: the sampling ratio.
sigma: the noise sigma.
steps: the number of steps.
lmbd: the moment order.
verify: if False, only compute the symbolic version. If True, computes
both symbolic and numerical solutions and verifies the results match.
verbose: if True, print out debug information.
Returns:
the log moment with type np.float64, could be np.inf.
"""
moment = compute_a(sigma, q, lmbd, verbose=verbose)
if verify:
mp.dps = 50
moment_a_mp = compute_a_mp(sigma, q, lmbd, verbose=verbose)
moment_b_mp = compute_b_mp(sigma, q, lmbd, verbose=verbose)
np.testing.assert_allclose(moment, moment_a_mp, rtol=1e-10)
if not np.isinf(moment_a_mp):
# The following test fails for (1, np.inf)!
np.testing.assert_array_less(moment_b_mp, moment_a_mp)
if np.isinf(moment):
return np.inf
else:
return np.log(moment) * steps