cctbx Multi-platform Build Results

Build tag: 2004_06_04_1825

Binary distributions

irix65_mipspro7312_py234 test.log build.log

irix65_mipspro741_py234 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_py234 test.log build.log

redhat80 selfx test.log build.log

redhat80_py234 selfx test.log build.log

redhat90 selfx test.log build.log

redhat90_py234 test.log build.log

redhat_ws3 selfx test.log build.log

tru64_py222 test.log build.log

tru64_py234 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 2.3.4 sources for Unix

cctbx_python_234_bundle.selfx

Download the file and run the following command in a new, empty directory:

perl cctbx_python_234_bundle.selfx

This installs Python 2.3.4 and all cctbx modules from scratch.

Alternative for manual installation: cctbx_python_234_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

mmtbx:
  - new dynamics module (simple Cartesian dynamics)

iotbx:
  - new support for reading Mar345 image plate images.
    - requires a third party module, cbflib, and an adaptor module,
      cbflib_adaptbx, available from the cctbx authors.
  - new command iotbx.emma
    - automatically detects PDB, SDB, SOLVE, SHELX and strudat files
  - new reflection_file_converter
  - obsolete reflection_file_writer removed

iotbx.mtz:
  - bug fix: long titles (>70 characters) have to be truncated
    in order to avoid memory access errors
  - mtz reader automatically combines delta-anomalous arrays
  - mtz writer produces column order f+,sig+,f-,sig- instead of f+,f-,sig+,sig-

iotbx.lattice_symmetry & cctbx/examples/lattice_symmetry.cpp:
  - use identity change-of-basis operator if possible

cctbx.restraints:
  - code moved from mmtbx.stereochemistry to cctbx.restraints
  - new bond_sorted_proxies

cctbx.crystal.direct_space_asu.asu_mappings:
  - is_symmetry_interaction() replaced by is_direct_interaction()
    (different semantics)
  - new interaction_type_id()
  - new asu_mappings.find_i_sym()
  - special_ops, special_op_indices data members

cctbx.web.emma:
  - automatic detection of PDB and SDB files; symmetry information
    is reused as much as possible if necessary

cctbx.miller.match_bijvoet_mates:
  - bug fix: pairs_hemisphere_selection bool selection was useless,
    replaced by std::size_t selection
  - singles_hemisphere_selection also converted to std::size_t
    selection for consistency

cctbx.miller.array:
  - apply_scaling()
  - show_comprehensive_summary()
    - completeness in resolution range, with d_max=infinity

libtbx:
  - support for optional_packages
  - correct merging of dependency chains
  - new libtbx.assert_stdin command-line utility to support regression tests

Latest Boost CVS (2004_06_04_1823)
Latest SCons CVS (2004_06_04_1817)
Most builds switched to Python 2.3.4