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2020-04-12Configure (numpy): added --std=c99 to CFLAGS to fix errorMohammad Akhlaghi-0/+1
Elham Saremi recently reported the following errors when building Numpy in numpy/core/src/npysort/radixsort.c.src: "error: 'for' loop initial declarations are only allowed in C99 or C11 mode". After some searching, I found Issue 14147[1] on Numpy's main repository about the same problem. As described there, apparently Numpy needs C99 compiler, but doesn't check for it or set it manually (for some strange reason, leaving it to the packagers to check if they want!!!). Any way, after a check with Elham, we were able to fix it by adding the `--std=c99' to CFLAGS of Numpy's build and with this commit, it is now being implemented in the core Maneage to not cause a problem in any other project. [1] https://github.com/numpy/numpy/issues/14147
2020-04-06Astropy now depending on the Expat library to fix internal conflictRaul Infante-Sainz-7/+23
Until now, Astropy was instructed to build its own internal copy of the Expat library. However, with the recent commits before, Maneage now includes an installation of Expat and Astropy can't keep the two (its internal version and the project's version) separate, so they conflict and don't let Astropy get built. With this commit, the problem is fixed by setting the Expat library as an explicit dependency of Astropy and asking Astropy to ignore its internal copy. While doing this, I recognized that it is much easier and elegant to add steps in various stages of the `pybuild' function through hooks instead of variables. So the fifth argument of the `pybuild' function was removed and now it actually checks if hooks are defined as functions and if so, they will be called. The `pyhook_after' function was also implemented in the installation of `pybind11' (which needed it, given that the 5th argument of `pybuild' was removed) and after doing a test-build, I noticed that two lines were not ending with a `\' in `boost' (a dependency of `pybind11'). Commit written originally by Mohammad Akghlaghi
2020-03-20Adding PyYAML, Html5lib, and Beautifulsoup4 as prerequsites of AstropyRaul Infante-Sainz-4/+4
Until this commit, PyYAML was not set as prerequisite of Astropy. This package is an optional dependency of Astropy for some particular functions. However, we have already included PyYAML into this project so it is available. With this commit, PyYAML has been set as a prerequisite of Astropy. In addition to this, Html5lib and Beautifulsoup4 have been also added as prerequsites of Astropy (and removed from Astroquery prerequisites). I noticed that both of them are optional dependencies of Astropy.
2020-03-17Astroquery updated to version 0.4Raul Infante-Sainz-1/+1
In the last update of Astropy to version 4.0 they removed some things that the previous version of Astroquery needs. As a consequence, it is also necessary to update the Astroquery version to be a ble to run with the Astropy 4.0. With this commit, the update of Astroquery to it most recent version (0.4) has been done.
2020-02-11Using backup server when original download server failsMohammad Akhlaghi-1/+1
Until now, the main download script could only check one server for the given URL. However, ultimately the actual server that a file is downloaded from is irrelevant for this project: we actually check its checksum. Especially in the case of software (which are distributed over many servers), this can usually be very annoying: the servers may not properly communicate with the running system and even the 10 trials won't be enough. With this commit, the download script `reproduce/analysis/bash/download-multi-try' can take a new optional argument (a 5th argument). It assumes this argument is a space-separated list of server(s) to use as backup for the original URL. When downloading from the original URL fails, it will look into this list and try downloading the same file from each given server.
2020-01-13Updated verion of Astropy to 4.0 the most recent oneRaul Infante-Sainz-1/+1
Newer versions of Astropy package has been released. With this commit, it has been updated. It has been increased from v3.2.1 to v4.0
2020-01-01Copyright statements updated to include 2020Mohammad Akhlaghi-2/+2
Now that its 2020, its necessary to include this year in the copyright statements.
2019-12-18Removed extra backslash in Jeepney prerequisitesRaul Infante-Sainz-1/+1
An extra backslash in the prerequisites of Jeepney Python package was causing a crash in the installation of that software. With this commit, this problem has been fixed by removing the backslash.
2019-11-08Matplotlib problem on macOS system with GNU GCC fixedMohammad Akhlaghi-0/+6
Until now when building Matplotlib on macOS systems, we were using the default C compiler. However, while Yahya Sefidbakht (previously) and Mahdieh Nabavi (now) were trying to build the template, on their macOS using the GNU Compiler Collection (GCC), we found that Matplotlib needs special macOS headers that GCC doesn't recognize. With this commit, when Matplotlib is being built on macOS systems, it uses `clang' and this fixed the problem (so far checked on Mahdieh's machine).
2019-11-08Minor corrections applied in software buildsMohammad Akhlaghi-2/+2
While working on a different branch to build the GNU C Library, I noticed a few places in the template that need corrections which are now applied: 1. A new-line character after the "C compiler works" notice at the start of the configure script. 2. Removing possible `::' in the `LD_LIBRARY_PATH' definition of `basic.mk'. Note that its not necessary in the other steps because we don't use any outside-defined `LD_LIBRARY_PATH'. 3. Building GMP for C++ and also with `--enable-fat'. 4. Removing the unpacked Perl tarball directory after its installation.
2019-11-06GNU Project Debugger (GDB) and Pexpect can now be builtMohammad Akhlaghi-0/+7
These two packages are necessary to build the GNU C Library.
2019-11-06Perl is now built as a basic dependency of the templateMohammad Akhlaghi-1/+0
Perl is necessary to build Texinfo and later to build LaTeX. Until now we were just using the host operating system's installation of Perl, but in some instances that Perl can be too old and not suppor the features necessary. With this commit, Perl is now built from source during the basic installation step of the template. This was reported by Idafen Santana PĂ©rez, after trying the pipeline on an Amazon AWS EC2 system (a Linux distro by Amazon for its cloud services).
2019-10-30Tarballs set as order-only prerequisites, not needed for build callsMohammad Akhlaghi-64/+69
Until now, the tarballs were the first normal prerequisite of the software. As a result if their date changed, the whole software would be re-built. However, for tarballs specifically, we actually check their contents with a checksum, so their date is irrelevant (if its newer than the built program, but has the same checksum, there is no need to re-build the software). Also, calling the tarball name as an argument to the building process (for example `gbuild') was redundant. It is now automatically found from the list of order-only prerequisites within `gbuild' and `cbuild' (similar to how it was previously found in the `pybuild' for Python building). A `README.md' file has also been placed in `reproduce/software/make' to help describe the shared properties of the software building Makefiles. This will hopefully grow much larger in the future.
2019-10-29lmfit and its dependencies added, Python tarballs as prerequisiteMohammad Akhlaghi-184/+226
Python's `lmfit' module and all its major dependencies (`asteval', `corner', `emcee' and `uncertainties') have been included in the template. While doing this I noticed that if the tarballs are the last prerequisite of each software building rule, then when building in parallel, the template will immediately start building packages as soon as the first one is downloaded. Not like the current way that it will attempt to download several, then start building. For now, this has been implemented in the Python build rules for all the modules and we'll later do the same for the other programs and libraries. This also motivated a simplification of the `pybuild' function: it now internally looks into the prerequisites and selects the tarball from the prerequisite that is in the tarballs directory. This isn't a problem for the build, but I just don't understand why Python can't recognize the version of `emcee', Python reads the version of `emcee' as `0.0.0'! But it doesn't cause any crash in the build, so for now its fine.
2019-10-28HEALPix, Autoconf and Automake now in libraryMohammad Akhlaghi-0/+10
The tarball of HEALPix includes multiple languages and doesn't include the ready-to-run GNU Build System by default, we actually have to build the `./configure' script for the C/C++ libraries. So it was necessary to also include GNU Autoconf and GNU Automake as prerequisites of HEALPix. However, the official GNU Autoconf tarball (dating from 2012) doesn't build on modern systems, so I just cloned it from its source and bootstrapped it and built its modern tarball which we are using here.
2019-10-24Several more LSST pipeline dependencies are addedMohammad Akhlaghi-13/+99
The following software are added with this commit: eigency, esutil, flake8, future, galsim, lsstdesccoord, pybind11 and pyflakes.
2019-10-24APR, APR Utility, Boost and Eigen are now availableMohammad Akhlaghi-0/+1
As part of an effort to bring in all the dependencies of the LSST Science pipeline (which includes the last commit), these software are now available in the template.
2019-10-01New versions for ImageMagick, Python, Numpy Scipy and MatplotlibMohammad Akhlaghi-5/+8
It was some time since these three software were not updated! With this commit the template now uses the most recent stable release of these packages. Also, the hosting server for ImageMagick was moved to my own webpage because unfortunately ImageMagick removes its tarballs from its own version.
2019-09-06Updated versions of several softwareMohammad Akhlaghi-1/+1
New versions of astropy, bash, cmake, curl, findutils, gawk, gcc, ghostscript, git, make, gsl had recently come so they are updated with this commit. About GNU Findutils and GNU Make: I was bootstrapping (building the tarball of) these two separately separately because their standard tarball release had problems on some systems. Both have been updated now so I am no longer using my own webpage as their main URL. A special note about GNU Make. I just noticed that during bootstrapping, GNU Make would use the fixed version string of `4.2.90' for any commit!!! But fortunately they have officially released their 4.2.90 version, so we are safely using their own webpage. The only difference is the compression format. My old bootstrapped build was `tar.lz', but the standard release is `tar.gz'. Also, all the basic programs (installed in `.local/bin') in `basic.mk' are now existance-only dependencies (after a `|'). Because later programs just use them at a very basic level, so there is no need to rebuild everything when Bash gets updated for example.
2019-08-22Fixed typo in beautifulsoup4 Python package checksum nameRaul Infante-Sainz-1/+1
Until this commit, the name of the variable for `beautifulsoup4' checksum was wrong, and because of that, it was not able to install it. With this commit, `beautifulsoup-checksum' has been replaced for `beautifulsoup4-checksum' in the `reproduce/software/make/python.mk' Makefile, and the problem has been fixed. This was not noticed previously because this Python package is only installed when some high level programs are requested to be installed. With this commit the version of `imagemagick' program has been also updated because the previous version is not available in the official website anymore.
2019-08-08Corrected typo when fixing libffi's installation directoryMohammad Akhlaghi-1/+1
In the line where we checked if libffi is installed in `lib/' or `lib64/', there was a typo that lead to an incorrect result: we had forgot to add a `-f' to the second check. This is corrected with this commit.
2019-08-05Libffi builds without Java supportMohammad Akhlaghi-1/+2
Until now, we weren't explicitly disabling Java in the build of libffi because there was no Java platform on the systems we tested. But recently Yahya Sefidbakht report a crash in libffi (reported in bug #56716) because of Java not being compiled properly. Unfortunately libffi doesn't have a configure option to disable Java, but it does have an internal macro (`NO_JAVA_RAW_API'). With this commit, we we defined this macro in the `make' step, and it solved the problem. This fixes bug #56716.
2019-08-01Updated version of mpi4py doesn't conflict with OpenMPIMohammad Akhlaghi-12/+3
Until now, in version 3.0.1, mpi4py couldn't be built with the most recent version of OpenMPI. However, after trying the next version (3.0.2), I noticed that it builds successfully without a problem.
2019-07-29Checking software tarball checksums before building softwareMohammad Akhlaghi-100/+113
Until now, there was no check on the integrity of the contents of the downloaded/copied software tarballs, we only relied on the tarball name. This could be bad for reproducibility and security, for example on one server the name of a tarball may be the same but with different content. With this commit, the SHA512 checksums of all the software are stored in the newly created `checksums.mk' (similar to how the versions are stored in the `versions.mk'). The resulting variable is then defined for each software and after downloading/copying the file we check to see if the new tarball has the same checksum as the stored value. If it doesn't the script will crash with an error, informing the user of the problem. The only limitation now is a bootstrapping problem: if the host system doesn't already an `sha512sum' executable, we will not do any checksum verification until we install our `sha512sum' (as part of GNU Coreutils). All the tarballs downloaded after GNU Coreutils are built will have their checksums validated. By default almost all GNU/Linux systems will have a usable `sha512sum' (its part of GNU Coreutils after all for a long time: from the Coreutils Changelog file atleast since 2013). This completes task #15347.
2019-07-28Single wrapper instead of old ./configure, Makefile and ./for-groupMohammad Akhlaghi-2/+2
Until now, to work on a project, it was necessary to `./configure' it and build the software. Then we had to run `.local/bin/make' to run the project and do the analysis every time. If the project was a shared project between many users on a large server, it was necessary to call the `./for-group' script. This way of managing the project had a major problem: since the user directly called the lower-level `./configure' or `.local/bin/make' it was not possible to provide high-level control (for example limiting the environment variables). This was especially noticed recently with a bug that was related to environment variables (bug #56682). With this commit, this problem is solved using a single script called `project' in the top directory. To configure and build the project, users can now run these commands: $ ./project configure $ ./project make To work on the project with other users in a group these commands can be used: $ ./project configure --group=GROUPNAME $ ./project make --group=GROUPNAME The old options to both configure and make the project are still valid. Run `./project --help' to see a list. For example: $ ./project configure -e --host-cc $ ./project make -j8 The old `configure' script has been moved to `reproduce/software/bash/configure.sh' and is called by the new `./project' script. The `./project' script now just manages the options, then passes control to the `configure.sh' script. For the "make" step, it also reads the options, then calls Make. So in the lower-level nothing has changed. Only the `./project' script is now the single/direct user interface of the project. On a parallel note: as part of bug #56682, we also found out that on some macOS systems, the `DYLD_LIBRARY_PATH' environment variable has to be set to blank. This is no problem because RPATH is automatically set in macOS and the executables and libraries contain the absolute address of the libraries they should link with. But having `DYLD_LIBRARY_PATH' can conflict with some low-level system libraries and cause very hard to debug linking errors (like that reported in the bug report). This fixes bug #56682.
2019-07-04libffi always installed in the lib directoryMohammad Akhlaghi-1/+11
On some Fedora systems, libffi installs under `lib64', not `lib'. As a result, Python's Setuptools can't find it and will not built (complaining about not finding the `_ctypes' module). With this commit, we fix this problem by explicitly putting a copy of libffi's installed libraries within the `lib' directory. This issue was found while testing the pipeline with Elham Saremi and Hamed Altafi.
2019-05-24PyYAML decompressed tarball directory name fixedRaul Infante-Sainz-1/+1
Until this commit, the name of the decompressed tarball directory of PyYAML Python package was wrong. It has to be `PyYAML-version' instead of `pyyaml-version'. When I run the installation on Mac OS system it went up to the end of the installation with no error. However, when I tried to install it on a GNU/Linux system, it complained about no finding the `pyyaml-version' directory, which is the expected because the name was wrong! With this commit, I have fixed this issue by writting correctly the name of the decompressed tarball directory.
2019-05-24Added PyYAML Python package into the projectRaul Infante-Sainz-0/+12
With this commit, PyYAML Python package has been added into the project. It is widely used in the Python community and the goal is to have human readable configuration files. As in the web page (https://pypi.org/project/PyYAML/) says: YAML is a data serialization format designed for human readability and interaction with scripting languages. PyYAML is a YAML parser and emitter for Python.
2019-05-22TeXLive and Ghostscript also added as dependencies of MatplotlibMohammad Akhlaghi-0/+2
Matplotlib can optionally use LaTeX and Ghostscript as dependencies to render text with LaTeX. Since we already have their build rules, with this commit, they have been added as its prerequisites.
2019-05-21ImageMagick put as prerequisite of MatplotlibRaul Infante-Sainz-0/+1
With this commit, ImageMagick program has been set as prerequisite of Matplotlib Python package. Since some submodules of Matplotlib rely on ImageMagick programs (for example, those to make image animations), and now we have ImageMagick into the project, it is good to install ImageMagick when Matplotlib is requested to be installed.
2019-04-30Imported some recent/parallel work, conflicts fixedMohammad Akhlaghi-3/+6
Especially because of the new convention regarding backslashes, there were many conflicts that are now fixed. But none were substantial.
2019-04-30End-of-line Backslashs no longer right under each otherMohammad Akhlaghi-133/+133
When we need to quote the new-line character we end the line with a backslash (`\'). Until now, our convention has been to put all such backslashes under each other to help in visual inspection. But this causes a lot of confusion in version control: if only one line's length is larger, the whole block will be marked as changed and thus makes it hard to visually see the actual change. It also makes debuging the code (adding some temporary lines) hard. With this commit, I went through all the files and tried to fix all such cases so only a single white space character is between the last command character and the backslash. Where there was an empty line (ending with a backslash, to help in visually separating the code into blocks), I put the backslash right under the previous line's. This completes task #15259.
2019-04-29Added numpy and six as prerequisites of h5pyRaul Infante-Sainz-2/+4
Until now, we were missing `numpy' and `six' as prerequisites of `h5py'. Because we did the configure step with all cores, `numpy' and `six' allways were built before `h5py' with any crash. However, in a single thread configure run we noticed that we were missing these two dependencies. With this commit, we fix this issue by setting `numpy' and `six' as prerequisites of `h5py'.
2019-04-29Modified sip_tpv Python package prerequisitesRaul Infante-Sainz-1/+2
Until this commit, the prerequisites of `sip_tpv' were `mpmath' and `sympy'. However, the real prerequisites of `sip_tpv' are `astropy', `numpy' and `sympy'. With this commit, we fix this issue, and now `mpmath' is only a prerequisite of `sympy'.
2019-04-24Added paper citation of sip_tpv Python packageRaul Infante-Sainz-4/+6
Until now, we were not citing the paper of `sip_tpv' package. With this commit, we have been fix this issue.
2019-04-23Python package sip_tpv added into the templateRaul Infante-Sainz-0/+8
With this commit, we add `sip_tpv' Python package into the template. This is a small package to convert SIP distorsion coefficients into PV distorsion coefficients, and the other way around. This package is useful in a astronomical context, specially when `swarp' is going to be used in order to resample images. The reason is that `swarp' only can understand PV distorsion coefficients.
2019-04-23Python package SymPy added into the templateRaul Infante-Sainz-5/+5
With this commit, we add `sympy' Python package into the template. This is a package to do symbolic mathematics. The motivation is that it is a prerequisite of `sip_tpv' Python package, which is useful to convert SIP distorsion coefficients into PV coefficients (in the context of astronomical images). However, the availability of `sympy' in the template will be useful for anyone interested in this package.
2019-04-23Python package mpmath added into the templateRaul Infante-Sainz-0/+16
With this commit, we add `mpmath' Python package into the template. This package is a prerequisite of `sympy', a package to do symbolic mathematics. The motivation of adding this package is because it is a dependency of `sympy', which is more widely used into the Python science community.
2019-04-22High-level software now specified in TARGETS.mkMohammad Akhlaghi-8/+7
Until now, to specify which high-level software you want the project to contain, it was necessary to go into the `high-level.mk' Makefile that is complicated and can create bugs. With this commit, a new `reproduce/software/config/installation/TARGETS.mk' file has been created that is easily/cleanly in charge of documenting the final high-level software that must be built for the project. Also, until now, FFTW was set as a dependency of Numpy while we couldn't actually get Numpy to use it! It was just there for future reference and to justify its build rule. But now that many software won't be built and there is no problem with having rules even though a project might not use them, it has been removed.
2019-04-16Symbolic link to Python created, using `python' instead of `pythonX'Raul Infante-Sainz-9/+10
Until this commit, we were using `python3' when calling Python (because we were using Python version 3.6.8). This will force us to change the name in the future. For example, when `python4' were available and into the pipeline. With this commit, at the end of the Python installation it creates a symbolic link to the Python bin executable with the new name `python'. As a consecuence, whatever version of Python was installed, into the project we will use allways `python' to invoke it.
2019-04-15New architecture to separate software-building and analysis stepsMohammad Akhlaghi-0/+506
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).