cctbx Multi-platform Build Results

Build tag: 2004_04_07_1428

Binary distributions

irix65_mipspro7312_py222 test.log build.log

irix65_mipspro741_py222 test.log build.log

mac_os_10_2_py23 selfx test.log build.log [Mac OS X notes]

mac_os_10_3 selfx test.log build.log [Mac OS X notes]

redhat73_py222 test.log build.log

redhat80 selfx test.log build.log

redhat80_py23 selfx test.log build.log

redhat90 selfx test.log build.log

redhat90_py23 selfx test.log build.log

tru64_py222 test.log build.log

tru64_py23 test.log build.log

win2000_py222 test.log build.log

win2000_py23 test.log build.log

win_xp_py222 exe test.log build.log (also known to work under Windows 2000)

win_xp_py233 exe test.log build.log (also known to work under Windows 2000)

[Other platforms]

On platforms with a choice of Python 2.2.2 or Python 2.3 use the Python 2.3 bundle if you have no preference. For Windows get the bundle that matches your existing Python installation. Download the desired selfx or exe self-extracting binary distribution to a new, empty directory. Avoid directories with spaces in the pathname. In particular, under Windows do not install under C:\Program Files.

Under Unix install a selfx distribution using the perl command, for example:

perl cctbx_redhat80.selfx
Under Windows exe distributions are installed simply by running them (the matching Python version must be installed already).

The installer must be run on the platform where it is used. The installed package may be used over the network, but only if the pathnames to the installation directory are identical on the server and the client.

[Installation overview]

Self-extracting cctbx and Python 2.3 sources for Unix

cctbx_python_23_bundle.selfx

Download the file and run the following command in a new, empty directory:
perl cctbx_python_23_bundle.selfx
This installs Python 2.3 and all cctbx modules from scratch.

Alternative for manual installation: cctbx_python_23_bundle.tar.gz [Installation instructions]

Self-extracting cctbx and Python 2.2.2 sources for Unix

cctbx_python_222_bundle.selfx

Download the file and run the following command in a new, empty directory:
perl cctbx_python_222_bundle.selfx
This installs Python 2.2.2 and all cctbx modules from scratch.

Alternative for manual installation: cctbx_python_222_bundle.tar.gz [Installation instructions]

Self-extracting cctbx sources for Unix

cctbx_bundle.selfx

Download the file and run the following command in a new, empty directory:
perl cctbx_bundle.selfx
This installs all cctbx modules from scratch. Python 2.2.1 or higher must be pre-installed on the target machine. Known to work under Redhat 8.0 with the Python version that ships with the operating system (/usr/bin/python).

Alternative for manual installation: cctbx_bundle.tar.gz [Installation instructions]

changes.txt

cctbx.adptbx:
  - analytic computation of eigenvalues removed
      - wrong results for certain tensors
  - eigensystem is now a thin wrapper around
    scitbx::math::eigensystem::real_symmetric
      - the latter is much faster than the old adptbx::eigensystem
        implementation

cctbx.crystal:
  - new direct_space_asu.asu_mappings.is_symmetry_interaction()
  - new direct_space_asu.asu_mappings.map_moved_site_to_asu()
  - neighbors_simple_pair_generator, neighbors_fast_pair_generator:
    - new full_matrix option
  - new prototype: close_packing.py

cctbx::sgtbx:
  - C++ reference documentation for tr_vec, rot_mx

scitbx.math:
  - new principal_axes_of_inertia

scitbx.array_family:
  - new method: flex.size_t.next_permutation()

libtbx.itertbx:
  - new class step (like count but with user-defined step size)

libtbx, boost_adaptbx:
  - support for FSF gcc 3.5 (FSF gcc 3.4 is no longer supported)

libtbx:
  - unset PYTHONHOME in all dispatchers

Latest ccp4/lib/src (ccp4io)
Latest Boost CVS (2004_04_06_1818)
Latest SCons CVS (2004_04_06_1813)