For the moment we keep to copies of it -- one for the use within the various
musrfit programs, one that can be used in user functions.
* musrt0 is now again activated in musrgui/musredit by default.
In the RUN block data file names can now be given in the following way:
- without extension (default and only possible way up to now)
- with (completely) lower-case extension (e.g. .nxs)
- with (completely) upper-case extension (e.g. .NXS)
In any case, the file that is looked for can have both a lower-case or an upper-case extension.
The default (if no option is given) is now that only for newly generated or empty files the respective header will be written.
If data is appended to an existing file, it is assumed that the header also is present already!
In this case only the new data blocks are appended directly after to existing ones.
[Most probably this behavior is broken if used in a native Windows environment, however, this is not the only problem there...]
The previous option "noheader" is preserved.
It suppresses the output of the header in any case.
If new data are appended to an existing output file this is done at the end of the file---just as before!
A new option "header" has been introduced.
If this is given, the output of the header is forced---no matter if a file (probably with header) existed before or not.
Also in this case all new data (and the header) are appended at the end of the output file if it existed already.
In case both options are given, the default behavior is activated.
Non-existing msr-files in the specified list of runs are now ignored as far as possible!
Still a warning for each non-existing file will be issued!
Before, encountering such a file led to the termination of the program.
Also the writing of the empty lines at the end of the data-output-file should be fixed now in this case.
It is needed to get a "correct db-file".
Before, when the program has been aborted before the last run was processed, these empty lines had not been appended to the file.
run-specific parameters. This might help to get overall better starting parameters for a global fit.
For a few more details and an example, see the documentation.
Any testing is very welcome.
