python-flint 0.4.1

Bindings for FLINT and Arb

Python-FLINT

Python extension module wrapping FLINT (Fast Library for Number Theory) and Arb (arbitrary-precision ball arithmetic). Features:

• Integers, rationals, integers mod n
• Real and complex numbers with rigorous error tracking
• Polynomials, power series and matrices over all the above types
• Lots of mathematical functions

Documentation: http://fredrikj.net/python-flint/

Repository: https://github.com/fredrik-johansson/python-flint/

Author: Fredrik Johansson [e-mail]

Installation

On Windows (x86-64) or OSX (x86-64 or arm64) there are prebuilt wheels for python-flint 0.4.1 that can be installed from PyPI using pip

pip install python-flint

There is currently a problem with the Linux wheels and so for now Linux wheels are not available on PyPI. Instead for Linux first install both FLINT 2.9.0 and Arb 2.23. Note that as of python-flint 0.4.1 only these exact versions of FLINT and Arb will work. While some Linux distributions may provide FLINT and Arb it is unlikely that they will provide the exact versions required (e.g. for Ubuntu only Ubuntu 23.04 provides these versions at the time of writing).

See here for instructions on building FLINT and Arb:

• http://flintlib.org/
• http://arblib.org/

The latest release of Python-FLINT can then be built and installed using:

pip install 'cython>=3' numpy wheel
pip install --no-build-isolation python-flint

Python-FLINT can also be installed from a git checkout or a source archive as follows:

pip install 'cython>=3' numpy wheel
pip install --no-build-isolation .

A script that builds and installs FLINT, Arb and Python-FLINT that is tested on Ubuntu can be found in the git repo here:

• https://github.com/fredrik-johansson/python-flint/blob/master/bin/pip_install_ubuntu.sh

See the documentation for further notes on building and installing Python-FLINT:

• https://fredrikj.net/python-flint/setup.html

Examples

Import Python-FLINT:

>>> from flint import *

Number-theoretic functions:

>>> fmpz(1000).partitions_p()
24061467864032622473692149727991
>>> fmpq.bernoulli(64)
-106783830147866529886385444979142647942017/510

Polynomial arithmetic:

>>> a = fmpz_poly([1,2,3]); b = fmpz_poly([2,3,4]); a.gcd(a * b)
3*x^2 + 2*x + 1
>>> a = fmpz_poly(list(range(10001))); b = fmpz_poly(list(range(10000))); a.gcd(a * b).degree()
10000
>>> x = fmpz_poly([0,1]); ((1-x**2)*(1+x**3)**3*(1+x+2*x)).factor()
(-1, [(3*x + 1, 1), (x + (-1), 1), (x^2 + (-1)*x + 1, 3), (x + 1, 4)])

Matrix arithmetic:

>>> fmpz_mat([[1,1],[1,0]]) ** 10
[89, 55]
[55, 34]
>>> fmpq_mat.hilbert(10,10).det()
1/46206893947914691316295628839036278726983680000000000

Numerical evaluation:

>>> showgood(lambda: (arb.pi() * arb(163).sqrt()).exp() - 640320**3 - 744, dps=25)
-7.499274028018143111206461e-13
>>> showgood(lambda: (arb.pi() * 10**100 + arb(1)/1000).sin(), dps=25)
0.0009999998333333416666664683

Numerical integration:

>>> ctx.dps = 30
>>> acb.integral(lambda x, _: (-x**2).exp(), -100, 100) ** 2
[3.141592653589793238462643383 +/- 3.11e-28]

To do

• Write more tests and add missing docstrings
• Wrap missing flint types: finite fields, p-adic numbers, multiprecision integer mods, rational functions
• Vector or array types (maybe)
• Many convenience methods
• Write generic implementations of functions missing for specific FLINT types
• Proper handling of special values in various places (throwing Python exceptions instead of aborting, etc.)
• Various automatic conversions
• Conversions to and from external types (numpy, sage, sympy, mpmath, gmpy)
• Improved printing and string input/output
• IPython hooks (TeX pretty-printing etc.)

License

Python-FLINT is licensed MIT. FLINT and Arb are LGPL v2.1+.