多精度Python库可以与boost :: multiprecision或其他选项配合使用吗? [英] Multiprecision Python library that plays well with boost::multiprecision or other options?

问题描述

我正在研究一个围绕多精度复杂"数字的项目，特别是基于Mandelbrot Set的应用程序，但是需要一个(快速的)C ++ py扩展模块(提升， cython或其他...)以及可能要使用它的纯python模块.

现在，我正在使用boost :: multiprecision来包装MPFR原始类型，是的，如果我只是想将mpfr_t传递给python，那将是一回事.但是，对于这个应用程序，我需要将C ++模块的结果存储为字符串，稍后将由Python模块对其进行解释，并且需要提供相同的数字.

BigFloat应该是MPFR python包装器，但它并不能像boost :: multiprecision的data()方法一样完全解释X精度浮点数的字符串常量./p>

是否有人知道库的组合以及 会导致C ++和任意精度浮点数的Python字符串文字之间的确切对应关系的方法?

如果需要，我可以提供代码摘录来说明问题，但他认为这很神秘，以至于如果有人得到答案，他们就会确切地知道我的意思以及如何解决.

解决方案

我维护 gmpy2 这是MPFR和MPC(以及GMP)的Python包装器.如果您可以提供示例，我可能会提供帮助.

I am working on a project that revolves around multiprecision "complex" numbers, specifically it's a Mandelbrot Set-based app, but with a twist that requires decent correspondence between the output of a (fast) C++ py extension module (boost, cython, or other...) and the pure python modules that might want to use it.

Right now, I'm using boost::multiprecision to wrap the MPFR raw type, and yeah if I just wanted to pass an mpfr_t to python that'd be one thing. However, for this app I need to store the C++ module's result as a string which will be interpreted later by a Python module, and needs to give the same number.

BigFloat is supposed to be an MPFR python wrapper, but it doesn't interpret a string literal of an X-precision float exactly the same way as boost::multiprecision's data() method.

Does anybody know of a combination of libraries plus an approach that does result in an exact correspondence between C++ and Python string literals of arbitrary-precision floating-point numbers?

I can provide code excerpts if needed to illustrate the problem, but figured it was arcane enough that if anybody had the answer, they'd know exactly what I mean and how to fix it.

解决方案

I maintain gmpy2 which is a Python wrapper for both MPFR and MPC (and GMP). If you can provide an example, I may be able to help.

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