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Until now, the software building and analysis steps of the pipeline were
intertwined. However, these steps (of how to build a software, and how to
use it) are logically completely independent.
Therefore with this commit, the pipeline now has a new architecture
(particularly in the `reproduce' directory) to emphasize this distinction:
The `reproduce' directory now has the two `software' and `analysis'
subdirectories and the respective parts of the previous architecture have
been broken up between these two based on their function. There is also no
more `src' directory. The `config' directory for software and analysis is
now mixed with the language-specific directories.
Also, some of the software versions were also updated after some checks
with their webpages.
This new architecture will allow much more focused work on each part of the
pipeline (to install the software and to run them for an analysis).
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All occurances of "pipeline" have been chanaged to "project" or "template"
withint the text (comments, READMEs, and comments) of the template. The
main template branch is now also named `template'.
This was all because `pipeline' is too generic and couldn't be
distinguished from the base, and customized project.
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Until now we weren't including the citation for FFTW (one of the template's
optional packages). With this commit, it is added.
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Until now, the files where the people were meant to change didn't have a
proper copyright notice (for example `Copyright (C) YOUR NAME.'). This was
wrong because the license does not convey copyright ownership. So the name
of the file's original author must always be included and when people
modify it (and add their own copyright-able modifications).
With this commit, the file's original author (and email) are added to the
copyright notice and when more than one person modified a file, both names
have their individual copyright notice.
Based on this, the description for adding a copyright notice in
`README-hacking.md' has also been modified.
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Until now, even though `file' was a dependency of `gcc', it was still
listed as a `top-level-programs'. Also, we weren't including the new
`tex/dependencies' in the distribution tarball (with `make dist').
With this commit, both issues are solved and also, as a cosmetic change,
the GCC prerequisites of the same line-length were ordered alphabetically.
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Until now, there was a single `tex/src/references.tex' file that housed the
BibTex entries for everything (software and non-software).
Since we have started to include the BibTeX entry for more software, it
will be hard to manage the large (sometime unused) BibTeX entries of the
software in the middle of the non-software related citations in the text of
the paper.
Therefore, with this commit, a `tex/dependencies' directory has been made
which has a separate BibTeX entry file for each software that needs
one. After the software is built, this file is copied to the new
`.local/version-info/cite' directory. At the end, the configure script will
concatenate all the files in this directory into one file which will later
be used with `tex/src/references.tex' by BibLaTeX.
This greatly simplifies managing of citations. Allowing us to focus on the
software-building and paper-writing citations separately/cleanly (and thus
be more efficient in both).
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Some recent corrections that were done by Raul are now merged into the
pipeline. There weren't any conflicts.
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Until now, we did not have `file'. It was in other project, where a
problem with `Astrometry-net' software, ends up with the necessity of
having `file' into the pipeline.
With this commit, we add `file' to the project. Since it is a low level
program, it is set in `dependencies-basic.mk' as a prerequisite of GCC.
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Until now, the Scipy citation was only one paper and not the correct one
(it was the online manual).
With this commit, Scipy is properly cited using the two papers. Also
some modifications in the `tex/src/references.tex' have been done
(remove last page number).
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Until now, name and version of all Python packages were indicated in the
final paper, but not the main paper of them (if it exists).
With this commit, some Python packages (Cython, Matplotlib, Numpy and
Scipy) are now properly acknoledged by citating the source paper.
`mpi4py' is also cited although this package is not yet included into
the pipeline.
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With this commit, we are applying the new style of citing software within
the build rule of Gnuastro.
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Until now, we hadn't actually tested the case where a whole software
directory (Python modules in particular) is empty. So the configure script
finished with some errors in this case.
With this commit, this step of the configure script was modified to deal
with such cases cleanly.
Also, in `initialize.mk', I added a `-f' to the symbolic link command, so
it doesn't complain if the file link already exists.
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Since we mixed the installation of Python packages with all other
software, it may occur that some Python packages start to be installed
before having installed `unzip'. As a consecuence, they could not be
decompressed and the installation will fail. In particular, tarballs of
Numpy and Setuptools are .zip files.
With this commit, we fix this issue by setting `unzip' as a prerequisit
of Numpy and Setuptools.
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There weren't any conflicts in this merge. However, while, trying to break
a long line into multiple (for better readability), I noticed that the AWK
version was mistakenly written as `awk-version' in a few cases, so this was
corrected to `gawk-version'.
While inspecting the libraries that AWK links to, I noticed that it also
links to GNU GMP and GNU MPFR. But since they are built after AWK usually,
it was using my host system! So with this commit, AWK has these two
libraries as prerequisites. As a result, these two libraries were brought
up to the basic program section, and not just GCC prerequisites.
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Until this commit, we were using the target (version number of the
program) in the `patchelf' for `awk' and `bash'. This makes an incorrect
linking in libraries because the target is not the bin program but just
a plain text containing the version number of the program.
With this commit we fix this issue by setting in the patchelf of `awk'
and `bash' the bin executable, and not the target (version number).
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Yahya Sefidbakht reported the following error when building Pkg-config on
his Mac OS system (using GCC, not Clang). It is apparently because his
version of GCC doesn't support some speical feature on Mac that is
necessary to build Glib as part of Pkg-config.
With this commit, on Mac systems, for pkg-config we are explicity asking to
build with Clang (through the `CC' flag).
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On some systems, M4 isn't available, so the linking to the host system
fails, as a result, we can't build GNU Libtool.
The main reason we weren't building M4 was a bug with the most recent GNU C
library
(http://lists.gnu.org/archive/html/bug-gnulib/2019-04/msg00004.html). But I
found a patch used by Arch Linux which fixes the issue and allows M4 to be
built. As a result, the pipeline is now building M4 also and the patched M4
tarball is now uploaded to my own webpage as backup.
While doing the steps above, I also noticed that we weren't using a tab at
the start of the link definitions of `dependencies-basic.mk'. Although its
not necessary, to be consistent, its good for the lines to always start
with a tab.
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The step where we check the possibility of using `sys/cdefs.h' was still
using `$$' for shell variables (in Make), not `$' (for the shell). This was
corrected.
Also, since Astropy needs two citations, the `,' in the citation command
would conflict with Make's parsing. So we just used an `echo' command to
re-write the version info.
In Astroquery, the prerequisite list was just reordered by length to be
more clear to the eye.
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Until recently we were using an actual installed executable file for the
programs. So for Gnuastro, the target was called `astnoisechisel'. But
recently, this approach was changed and the target for each software is a
simple text file with the official software name and version.
So with this commit, we are simply using `gnuastro' for Gnuastro, not
`astnoisechisel'.
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In some cases (specially when debugging the pipeline), its very
time-consuming to install GCC. With this commit, a `--host-cc' option has
been added to avoid building the C compiler when necessary.
The test to see if `sys/cdefs.h' is available on the system (necessary to
build GCC) has also been moved to the configure script to print a more
visible warning and also use the new `host_cc' variable to let
`dependencies-basic.mk' know that GCC shouldn't be built.
Finally, we are having problems installing M4 from source, so it has been
set as a mandatory dependency.
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Until now, for short files, we only had a license notice, not an actual
copyright notice. With this commit, a copyright notice has also been
added. We use this new command to find these files, suggested by
`ineiev@gnu.org'.
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On some GNU/Linux distros, the compiler is separated into `multilib' mode
(for 32-bit and 64-bit support) and by default the extra component of the
compiler is not installed! In such systems for now, we are just creating
symbolic links to the host's compiler (similar to Mac).
While testing, I noticed that we weren't passing a "$downloader" option to
the downloading script of `dependencies.mk' and `dependencies-python.mk'.
Also, I noticed that the Cython and Python-pkg-config packages didn't have
setuptools as a dependency! Both have now been fixed. Also, Cython's
tarball name is now all small-caps (as in all the other tarballs).
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This work is now merged, I just added the new argument to the `pybuild'
function.
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Until now, management of the software names and versions in the paper was
done manually (a macro had to be defined in `initialize.mk', then used in
`paper.tex', so they had to be manually set in two places). Managing this
was not easy.
To fix this, with this commit, each software building rule's target is a
text file that contains its human-readable name and its version. In the
end, the configure script sorts them by their name and writes them into a
LaTeX input file that we can easily import as a file into the main paper.
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After trying to set the pipeline from scratch with no internet conection
(but all tarballs already downladed), `h5py' Python package complained
about not having access to download `pkgconfig'. After solving this
dependency, it also complained about not having `cython'.
With this commit, we add `pkgconfig' (Python) and `cython' to the
pipeline in order to be able to install `h5py' properly.
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Until now, these versions were written in each run. This was mainly
inherited from the old days of the pipeline, where we didn't know the
software on the host. But now that we have almost everything under control,
we can just write these LaTeX macros at the end of the configure script and
make `initialize.mk' simpler and also (very slightly!) speed-up/simplify
the processing.
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The new files that were just added didn't have a copyright. One has been
added for them with this commit.
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For the tests, we had just set an absurd value for a test in the GCC build
recipe to always fail, but we had forgot to fix it. It is now corrected.
Also the order of making `g++' and `gfortran' was reversed for easier
readablility (it doesn't matter which one is done first, it only matters
that `gcc' be done last).
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We were developing the build of Numpy and Scipy on Mac in a parallel thread
and things seems to be working relatively nice now. There were only two
problems:
1) GCC still has some random building issues on Mac.
2) ATLAS shared libraries can't be built on Mac (so we used OpenBLAS to
build Numpy and Scipy on both Mac and GNU/Linux).
But for now, none of these problems are critical. So, we can progress in
one branch.
There were only very minor conflicts in the merge.
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We wer not able to build `gcc' on Mac, so we are using links to the host
compilers. In this commit we also found that on Mac the HDF5 library
needs an explicit definition of the compilers.
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After trying the build a system with no Python library, I noticed that
Python's HDF5 module (`h5py') needs the HDF5 library and OpenMPI (to work
in parallel). So they were added. Finally `h5py' uses the `mpi4py' module
to communicate with OpenMPI, so it was also added. However, for some
reason, mpi4py doesn't work with this version of OpenMPI (as described in
the comments above).
So for now, h5py doesn't use it and can only work on a single thread, while
the HDF5 C library links with OpenMPI with no problem.
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Until this commit, the installation of all Python packages were
done in a separate Makefile.
With this commit, the pipeline install Python packages as part of the
hight level software. All Python packages rules them remain in a
separate Makefile, but this Makefile is included in the high level
dependency `reproduce/src/make/dependencies.mk'.
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We could not get ATLAS shared libraries on Mac (while the static ATLAS
libraries are built and can be used successfully on Mac). So, the
pipeline now builds OpenBLAS, which both Numpy and Scipy can use on Mac
and GNU/Linux.
We also added FFTW as a dependency of Numpy. Altough Numpy is not linking to
FFTW for some reason. However, since FFTW is a low level library used by
many programs, we have kept it as a dependency of Numpy anyway for now.
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After doing a systematic search for files without a copyright notice, a few
more were found that didn't have a notice. So a notice was added for them.
I used this Bash command to find the files:
for f in $(find ./ -type f); do \
if [[ $f != *.git* ]]; then \
n=$(grep -i copyright $f | wc -l); \
echo "$n $f"; \
fi; \
done | awk '$1==0'
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The Makefile that build the shared libraries comes from Arch Linux so it
does not work easily on Mac. But the full ATLAS build goes successfully
for static libraries. For now we are disabling shared libraries on Mac.
Python was built explicity with `clang' on Mac.
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Until now, we were using `flock' (file-lock) for downloading the input
datasets in series. But we couldn't do this when downloading the software
tarballs because `flock' wasn't yet available. Generally, unlike
processing, downloading is much better done in series than in parallel.
To enable serial downloads of the software also, with this commit we are
installing `flock' in the configure script (not in a Makefile). As a
result, besides `flock', we can also benefit from the other good features
of the `reproduce/src/bash/download-multi-try' script *(for example
attempting download again after some time).
Some GNU mirrors may have problems at the time of download, so with this
commit, we are using the main GNU FTP server for GNU programs.
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Until now, we were simply using the host's GCC for Mac systems. But we
found that except for a single step (to fixing `rpath'), it works on
Mac!!! So, GCC is now part of the Mac build as well.
However, we are still having some problems in building ATLAS on Mac. It
works on GNU/Linux, but not in Mac. So for the time being (just
temporarily), we are avoiding ATLAS (and thus Scipy) on Mac systems. We
just filed an issue on the ATLAS discussion list to hopefully fix the
problem soon.
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We just noticed that recently the `paste' command on macOS doesn't work
with a pipe. So we are now simply using the `tr' command in reverse to
re-create the PATH (to find where to link to).
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Until now we were using a symbolic link to replace GCC, but Make doesn't
treat symbolic links like files. So it would rebuild the links every
time. With this commit, only for GCC on Mac systems, we are actually
copying the host's GCC executable to avoid this problem.
Also, a wrong comment for cURL was removed.
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Conflicts in `gcc' build comments and in mentioning software used in
paper fixed.
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We generalized the libraries suffixes to work on Mac and GNU/Linux.
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In this commit we add `h5py' Python package.
We also include `setuptools' as a main dependency of Python because with the
previous commit it (as well as `pip') is no longer installed with Python.
Numpy version also has been incremented.
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Numpy needs ATLAS as shared libraries. So we also need to build Python with
shared libraries. We also need to define site.cfg for numpy and scipy so we
define a master template:
`reproduce/config/pipeline/dependency-numpy-scipy.cfg'
Also `Openssl' did not have rpath so we added with this commit.
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An initial installation of atlas is now included in the pipeline,
but we are still trying to make it compile and build smoothly. In
the process, we found that GCC also needs some modifications
(for example rpath issues).
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Until recently, there was no problem with the `makelink' script of
`dependencies-basic.mk' because it was called on separate recipe lines (and
thus separate shells). But recently we added a call to it within a single
shell (for GCC on Mac OS systems). So a previous call to it would effect
the next call. To fix this, in this commit, we are re-setting PATH to its
original value after each call finishes.
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Bzip2 has a special/separate Makefile to build shared libraries which
didn't work on a macOS. So with this commit, we are allowing Bzip2 shared
libraries only on macOS systems.
Also, I noticed that macOS's `sed' doesn't have the `-i' option (to do the
change in place within the same file). So we are using `-e' to write the
changed Makefile in a temporary directory, then rename that.
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Until now, we were actually running all the programs to check their
versions during initialization. But now that the number of programs has
increased, this can be slow. With this commit, we simply report the version
as a constant string. Maybe later, we can follow the strategy of the TeX
Live packages and write them all at configure time.
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We still have a few problems with building GCC on a MacOS system. To allow
using the pipeline on this operating system, until we find the solution,
GCC is only built on non-Mac systems. On Mac, we'll just make a symbolic
link to the host's executables.
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To ensure that we have all the necessary Python dependencies, I done an
offline build and noticed that several packages were also necessary for the
`./configure' step to finish (`libffi', `asn1crypto', `cffi', `jeepney',
`pycparser' and `secretstorage'). With this commit they are added.
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Until now, we were only resetting the Python environment variables in the
actual processing Makefiles, not in the Makefile that build Python and its
modules. They are now added there also.
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