file with @internal. The equivalent can be faked using
the Doxygen ENABLED_SECTIONS mechanism. See docs/testserver.dox
to see how this is done. So I make --enable-internal-docs
also set ENABLED_SECTIONS = INTERNAL and then used it
in docs/testserver.dox to decide if it needs to be included.
So it now becomes the first default test server to try.
This also means that the dap4 remote testing is enabled.
The only issue to watch is to see if the jetstream-based
server can stay up for significant periods of time.
A uptimerobot (https://uptimerobot.com) has been set ups
to monitor this hourly, so we shall see.
Fix https://github.com/Unidata/netcdf-c/issues/962
1. remove the --disable-diskless option since it is no
longer needed. Similarly for CMakeLists.txt.
2. Fixed nc4files.c where BAIL and return were mixed
leading to situation where cleanup code was not
being invoked. This probably occurs elsewhere,
but I did not find any specifically.
I took Ed's advice and moved the plugin stuff to its own
top-level directory. This is an attempt to solve the problem of
copying files that we have experienced. In any case, it will
serve as a place to stick additional plugins.
The file docs/indexing.dox tries to provide design
information for the refactoring.
The primary change is to replace all walking of linked
lists with the use of the NCindex data structure.
Ncindex is a combination of a hash table (for name-based
lookup) and a vector (for walking the elements in the index).
Additionally, global vectors are added to NC_HDF5_FILE_INFO_T
to support direct mapping of an e.g. dimid to the NC_DIM_INFO_T
object. These global vectors exist for dimensions, types, and groups
because they have globally unique id numbers.
WARNING:
1. since libsrc4 and libsrchdf4 share code, there are also
changes in libsrchdf4.
2. Any outstanding pull requests that change libsrc4 or libhdf4
are likely to cause conflicts with this code.
3. The original reason for doing this was for performance improvements,
but as noted elsewhere, this may not be significant because
the meta-data read performance apparently is being dominated
by the hdf5 library because we do bulk meta-data reading rather
than lazy reading.
