.. _xplatform:

.. currentmodule:: prody

Cross-platform Issues
=====================

.. contents::
   :local:


This section describes cross-platform issues that may emerge and provides
possible solutions for them.

Numpy integer type
------------------

Issues may arise when comparing Numpy integer types with Python :func:`int`.
Python :func:`int` equivalent Numpy integer type on Windows (Win7 64bit,
Python 32bit) is :class:`~numpy.int32`, while on Linux (Ubuntu 64bit) it is
:class:`~numpy.int64`.  For example, the statement
``isinstance(np.array([1], np.int64), int)`` may return **True** resulting
in unexpected behavior in ProDy functions or methods.  If Numpy integer type
needs to be specified, using :class:`~numpy.int` seems a safe option.

Relative paths
--------------

:func:`os.path.relpath` function raises exceptions when the working
directory and the path of interest are on separate drives, e.g. trying
to write a :file:`C:\\temp` while running tests on :file:`D:\\ProDy`.
Instead of this :func:`os.path.relpath`, ProDy function :func:`.relpath`
should be used to avoid problems.