Setting up mpmath ================= Mpmath requires at least Python 3.8. It has been tested with CPython 3.8 through 3.13 and for PyPy 3.9 through 3.10 Download and installation ------------------------- Using pip ......... Releases are registered on PyPI, so you can install latest release of the Mpmath with pip:: pip install mpmath or some specific version with:: pip install mpmath==0.19 You can install also extra dependencies, e.g. `gmpy `_ support:: pip install mpmath[gmpy] .. tip:: Use :mod:`venv` to create isolated Python environment first, instead of installing everything system-wide. Debian/Ubuntu ............. Debian and Ubuntu users can install mpmath with:: sudo apt install python3-mpmath See `debian `_ and `ubuntu `_ package information; please verify that you are getting the latest version. OpenSUSE ........ Mpmath is provided in the "Science" repository for all recent versions of `openSUSE `_. To add this repository to the YAST software management tool, see https://en.opensuse.org/SDB:Add_package_repositories Look up https://download.opensuse.org/repositories/science/ for a list of supported OpenSUSE versions. Current development version ........................... If you are a developer or like to get the latest updates as they come, be sure to install from git:: git clone git://github.com/mpmath/mpmath.git cd mpmath pip install -e .[develop,docs] Checking that it works ...................... After the setup has completed, you should be able to fire up the interactive Python interpreter and do the following:: >>> from mpmath import mp, mpf, pi >>> mp.dps = 50 >>> print(mpf(2) ** mpf('0.5')) 1.4142135623730950488016887242096980785696718753769 >>> print(2*pi) 6.2831853071795864769252867665590057683943387987502 .. tip:: :ref:`Run mpmath as a module ` for interactive work:: python -m mpmath Using gmpy (optional) --------------------- If `gmpy `_ version 2.1.0a4 or later is installed on your system, mpmath will automatically detect it and transparently use gmpy integers instead of Python integers. This makes mpmath much faster, especially at high precision (approximately above 100 digits). To verify that mpmath uses gmpy, check the internal variable ``BACKEND`` is equal to 'gmpy'. Using the gmpy backend can be disabled by setting the ``MPMATH_NOGMPY`` environment variable. Note that the mode cannot be switched during runtime; mpmath must be re-imported for this change to take effect. Running tests ------------- It is recommended that you run mpmath's full set of unit tests to make sure everything works. The `pytest `_ is a required dependence for testing. The tests are located in the ``tests`` subdirectory of the mpmath source tree. They can be run using:: pytest --pyargs mpmath Developers may run tests from the source tree with:: pytest If any test fails, please send a detailed bug report to the `mpmath issue tracker `_. Compiling the documentation --------------------------- If you downloaded the source package, the text source for these documentation pages is included in the ``docs`` directory. The documentation can be compiled to pretty HTML using `Sphinx `_:: sphinx-build --color -W --keep-going -b html docs build/sphinx/html The create a PDF:: sphinx-build --color -W --keep-going -b latex docs build/sphinx/latex make -C build/sphinx/latex all-pdf Some additional demo scripts are available in the ``demo`` directory included in the source package. Mpmath under Sage ------------------- Mpmath is a standard package in `Sage `_, in version 4.1 or later of Sage. Mpmath is preinstalled a regular Python module, and can be imported as usual within Sage:: ---------------------------------------------------------------------- | Sage Version 4.1, Release Date: 2009-07-09 | | Type notebook() for the GUI, and license() for information. | ---------------------------------------------------------------------- sage: import mpmath sage: mpmath.mp.dps = 50 sage: print(mpmath.mpf(2) ** 0.5) 1.4142135623730950488016887242096980785696718753769 In Sage, mpmath can alternatively be imported via the interface library ``sage.libs.mpmath.all``. For example:: sage: import sage.libs.mpmath.all as mpmath This module provides a few extra conversion functions, including ``mpmath.call()`` which permits calling any mpmath function with Sage numbers as input, and getting Sage ``RealNumber`` or ``ComplexNumber`` instances with the appropriate precision back:: sage: w = mpmath.call(mpmath.erf, 2+3*I, prec=100) sage: w -20.829461427614568389103088452 + 8.6873182714701631444280787545*I sage: type(w) sage: w.prec() 100 See the help for ``sage.libs.mpmath.all`` for further information.