This PR adds error message sentinels to the clingo solve, attached to each of the rules that could fail a solve. The unsat core is then restricted to these messages, which makes the minimization problem tractable. Errors that can only be generated by a bug in the logic program or generating code are prefaced with "Internal error" to make clear to users that something has gone wrong on the Spack side of things.
* minimize unsat cores manually
* only errors messages are choices/assumptions for performance
* pre-check for unreachable nodes
* update tests for new error message
* make clingo concretization errors show up in cdash reports fully
* clingo: make import of clingo.ast parsing routines robust to clingo version
Older `clingo` has `parse_string`; newer `clingo` has `parse_files`. Make the
code work wtih both.
* make AST access functions backward-compatible with clingo 5.4.0
Clingo AST API has changed since 5.4.0; make some functions to help us
handle both versions of the AST.
Co-authored-by: Todd Gamblin <tgamblin@llnl.gov>
After #26608 I got a report about missing rpaths when building a
downstream package independently using a spack-installed toolchain
(@tmdelellis). This occurred because the spack-installed libraries were
being linked into the downstream app, but the rpaths were not being
manually added. Prior to #26608 autotools-installed libs would retain
their hard-coded path and would thus propagate their link information
into the downstream library on mac.
We could solve this problem *if* the mac linker (ld) respected
`LD_RUN_PATH` like it does on GNU systems, i.e. adding `rpath` entries
to each item in the environment variable. However on mac we would have
to manually add rpaths either using spack's compiler wrapper scripts or
manually (e.g. using `CMAKE_BUILD_RPATH` and pointing to the libraries of
all the autotools-installed spack libraries).
The easier and safer thing to do for now is to simply stop changing the
dylib IDs.
The `--generic` argument allows printing the best generic target for the
current machine. This can be quite handy when wanting to find the
generic architecture to use when building a shared software stack for
multiple machines.
This PR adds a "spack tags" command to output package tags or
(available) packages with those tags. It also ensures each package
is listed in the tag cache ONLY ONCE per tag.
- [x] Allow dding enumerated types and types whose default value is forbidden by the schema
- [x] Add a test for using enumerated types in the tests for `spack config add`
- [x] Make `config add` tests use the `mutable_config` fixture so they do not
affect other tests
Co-authored-by: Todd Gamblin <tgamblin@llnl.gov>
If you don't format `spack.yaml` correctly, `spack config edit` still fails and
you have to edit your `spack.yaml` manually.
- [x] Add some code to `_main()` to defer `ConfigFormatError` when loading the
environment, until we know what command is being run.
- [x] Make `spack config edit` use `SPACK_ENV` instead of the config scope
object to find `spack.yaml`, so it can work even if the environment is bad.
Co-authored-by: scheibelp <scheibel1@llnl.gov>
`spack config get <section>` was erroneously returning just the `spack.yaml`
for the environment.
It should return the combined configuration for that section (including
anything from `spack.yaml`), even in an environment.
- [x] reorder conditions in `cmd/config.py` to fix
`spack --debug config edit` was not working properly -- it would not do show a
stack trace for configuration errors.
- [x] Rework `_main()` and add some notes for maintainers on where things need
to go for configuration to work properly.
- [x] Move config setup to *after* command-line parsing is done.
Co-authored-by: scheibelp <scheibel1@llnl.gov>
`main()` has grown, and in some cases code that can generate errors has gotten
outside the top-level try/catch in there. This means that simple errors like
config issues give you large stack traces, which shouldn't happen without
`--debug`.
- [x] Split `main()` into `main()` for the top-level error handling and
`_main()` with all logic.
There were some loose ends left in ##26735 that cause errors when
using `SPACK_DISABLE_LOCAL_CONFIG`.
- [x] Fix hard-coded `~/.spack` references in `install_test.py` and `monitor.py`
Also, if `SPACK_DISABLE_LOCAL_CONFIG` is used, there is the issue that
`$user_config_path`, when used in configuration files, makes no sense,
because there is no user config scope.
Since we already have `$user_cache_path` in configuration files, and since there
really shouldn't be *any* data stored in a configuration scope (which is what
you'd configure in `config.yaml`/`bootstrap.yaml`/etc., this just removes
`$user_config_path`.
There will *always* be a `$user_cache_path`, as Spack needs to write files, but
we shouldn't rely on the existence of a particular configuration scope in the
Spack code, as scopes are configurable, both in number and location.
- [x] Remove `$user_config_path` substitution.
- [x] Fix reference to `$user_config_path` in `etc/spack/deaults/bootstrap.yaml`
to refer to `$user_cache_path`, which is where it was intended to be.
* Deactivate previous env before activating new one
Currently on develop you can run `spack env activate` multiple times to switch
between environments, but they leave traces, even though Spack only supports
one active environment at a time.
Currently:
```console
$ spack env create a
$ spack env create b
$ spack env activate -p a
[a] $ spack env activate -p b
[b] [a] $ spack env activate -p b
[a] [b] [a] $ spack env activate -p a
[a] [b] [c] $ echo $MANPATH | tr ":" "\n"
/path/to/environments/a/.spack-env/view/share/man
/path/to/environments/a/.spack-env/view/man
/path/to/environments/b/.spack-env/view/share/man
/path/to/environments/b/.spack-env/view/man
```
This PR fixes that:
```console
$ spack env activate -p a
[a] $ spack env activate -p b
[b] $ spack env activate -p a
[a] $ echo $MANPATH | tr ":" "\n"
/path/to/environments/a/.spack-env/view/share/man
/path/to/environments/a/.spack-env/view/man
```
* Drastically improve YamlFilesystemView file removal via batching
The `remove_file` routine has to check if the file is owned by multiple packages, so it doesn't
remove necessary files. This is done by the `get_all_specs` routine, which walks the entire
package tree. With large numbers of packages on shared file systems, this can take seconds
per file tree traversal, which adds up extremely quickly. For example, a single deactivate
of a largish python package in our software stack on GPFS took approximately 40 minutes.
This patch simply replaces `remove_file` with a batch `remove_files` routine. This routine
removes a list of files rather than a single file, requiring only one traversal per batch. In
practice this means a package can be removed in seconds time, rather than potentially hours,
essentially a ~100x speedup (ignoring initial deactivation logic, which takes about 3 minutes
in our test setup).
* Fix sbang hook for non-writable files
PR #26793 seems to have broken the sbang hook for files with missing
write permissions. Installing perl now breaks with the following error:
```
==> [2021-10-28-12:09:26.832759] Error: PermissionError: [Errno 13] Permission denied: '$SPACK/opt/spack/linux-fedora34-zen2/gcc-11.2.1/perl-5.34.0-afuweplnhphcojcowsc2mb5ngncmczk4/bin/cpanm'
```
Temporarily add write permissions to the original file so it can be
overwritten with the patched one.
And test that file permissions are preserved in sbang even for non-writable files
Co-authored-by: Harmen Stoppels <harmenstoppels@gmail.com>
When relocating a binary distribution, Spack only checks files to see
if they are a link that needs to be relocated. Directories can be
such links as well, however, and need to undergo the same checks
and potential relocation.
`spack list` tests are not using mock packages for some reason, and many
are marked as potentially slow. This isn't really necessary; we don't need
6,000 packages to test the command.
- [x] update tests to use `mock_packages` fixture
- [x] remove `maybeslow` annotations
Currently Spack reads full files containing shebangs to memory as
strings, meaning Spack would have to guess their encoding. Currently
Spack has a fixed guess of UTF-8.
This is unnecessary, since e.g. the Linux kernel does not assume an
encoding on paths at all, it's just bytes and some delimiters on the
byte level.
This commit does the following:
1. Shebangs are treated as bytes, so that e.g. latin1 encoded files do
not throw UnicodeEncoding errors, and adds a test for this.
2. No more bytes than necessary are read to memory, we only have to read
until the first newline, and from there on we an copy the file byte by
bytes instead of decoding and re-encoding text.
3. We cap the number of bytes read to 4096, if no newline is found
before that, we don't attempt to patch it.
4. Add support for luajit too.
This should make Spack both more efficient and usable for non-UTF8
files.
Spack's `system` and `user` scopes provide ways for administrators and
users to set global defaults for all Spack instances, but for use cases
where one wants a clean Spack installation, these scopes can be undesirable.
For example, users may want to opt out of global system configuration, or
they may want to ignore their own home directory settings when running in
a continuous integration environment.
Spack also, by default, keeps various caches and user data in `~/.spack`,
but users may want to override these locations.
Spack provides three environment variables that allow you to override or
opt out of configuration locations:
* `SPACK_USER_CONFIG_PATH`: Override the path to use for the
`user` (`~/.spack`) scope.
* `SPACK_SYSTEM_CONFIG_PATH`: Override the path to use for the
`system` (`/etc/spack`) scope.
* `SPACK_DISABLE_LOCAL_CONFIG`: set this environment variable to completely
disable *both* the system and user configuration directories. Spack will
only consider its own defaults and `site` configuration locations.
And one that allows you to move the default cache location:
* `SPACK_USER_CACHE_PATH`: Override the default path to use for user data
(misc_cache, tests, reports, etc.)
With these settings, if you want to isolate Spack in a CI environment, you can do this:
export SPACK_DISABLE_LOCAL_CONFIG=true
export SPACK_USER_CACHE_PATH=/tmp/spack
This is a stop-gap approach until we have figured out how to deal with
the system and user config scopes more generally, as there are plans to
potentially / eventually get rid of them.
**User config**
Spack is a bit of a pain when you have:
- a shared $HOME folder across different systems.
- multiple Spack versions on the same system.
**System config**
- On shared systems with a versioned programming environment / toolkit,
system administrators want to provide config for each version (e.g.
21.09, 21.10) of the programming environment, and the user Spack
instance should be able to pick this up without a steep learning
curve.
- On shared systems the user should be able to opt out of the
hard-coded config scope in /etc/spack, since it may be incompatible
with their particular instance. Currently Spack can only opt out of all
config scopes through overrides with `"config:":`, `"packages:":`, but that
also drops the defaults config, which would have to be repeated, which
is undesirable, especially the lengthy packages.yaml.
An example use case is: having config in this folder:
```
/path/to/programming/environment/{version}/{compilers,packages}.yaml
```
and have `module load spack-system-config` set the variable
```
SPACK_SYSTEM_CONFIG_PATH=/path/to/programming/environment/{version}
```
where the user no longer has to worry about what `{version}` they are
on.
**Continuous integration**
Finally, there is the use case of continuous integration, which may
clone an arbitrary Spack version, which optimally should not pick up
system or user config from the previous run (like may happen in
classical bare metal non-containerized filesystem side effect ridden
jenkins pipelines). In fact this is very similar to how spack itself
tries to avoid picking up system dependencies during builds...
**But environments solve this?**
- You could do `include`s in environment files to get similar behavior
to the spack_system_config_path example, but environments require you
to:
1) require paths to individual config files, not directories.
2) fail if the listed config file does not exist
- They allow you to override config scopes, but this is generally too
rigurous, as it requires you to repeat the default config, in
particular packages.yaml, and just defies the point of layered config.
Co-authored-by: Tom Scogland <tscogland@llnl.gov>
Co-authored-by: Tim Fuller <tjfulle@sandia.gov>
Co-authored-by: Steve Leak <sleak@lbl.gov>
Co-authored-by: Todd Gamblin <tgamblin@llnl.gov>
Any spec satisfying a default will be symlinked to `default`
If multiple specs have modulefiles in the same directory and satisfy
configured module defaults, then whichever was written last will be
default.
This PR permits to specify the `url` and `ref` of the Spack instance used in a container recipe simply by expanding the YAML schema as outlined in #20442:
```yaml
container:
images:
os: amazonlinux:2
spack:
ref: develop
resolve_sha: true
```
The `resolve_sha` option, if true, verifies the `ref` by cloning the Spack repository in a temporary directory and transforming any tag or branch name to a commit sha. When this new ability is leveraged an additional "bootstrap" stage is added, which builds an image with Spack setup and ready to install software. The Spack repository to be used can be customized with the `url` keyword under `spack`.
Modifications:
- [x] Permit to pin the version of Spack, either by branch or tag or sha
- [x] Added a few new OSes (centos:8, amazonlinux:2, ubuntu:20.04, alpine:3, cuda:11.2.1)
- [x] Permit to print the bootstrap image as a standalone
- [x] Add documentation on the new part of the schema
- [x] Add unit tests for different use cases
1. Currently it prints not just the spec name, but the dependencies +
their variants + their compilers + their architectures + ...
2. It's clear from the context what spec the message applies to, so,
let's not print the spec at all.
These three rules in `concretize.lp` are overly complex:
```prolog
:- not provider(Package, Virtual),
provides_virtual(Package, Virtual),
virtual_node(Virtual).
```
```prolog
:- provides_virtual(Package, V1), provides_virtual(Package, V2), V1 != V2,
provider(Package, V1), not provider(Package, V2),
virtual_node(V1), virtual_node(V2).
```
```prolog
provider(Package, Virtual) :- root(Package), provides_virtual(Package, Virtual).
```
and they can be simplified to just:
```prolog
provider(Package, Virtual) :- node(Package), provides_virtual(Package, Virtual).
```
- [x] simplify virtual rules to just one implication
- [x] rename `provides_virtual` to `virtual_condition_holds`
fixes#26866
This semantics fits with the way Spack currently treats providers of
virtual dependencies. It needs to be revisited when #15569 is reworked
with a new syntax.
* py-vermin: add latest version 1.3.1
* Exclude line from Vermin since version is already being checked for
Vermin 1.3.1 finds that `encoding` kwarg of builtin `open()` requires Python 3+.
The OS should only interpret shebangs, if a file is executable.
Thus, there should be no need to modify files where no execute bit is set.
This solves issues that are e.g. encountered while packaging software as
COVISE (https://github.com/hlrs-vis/covise), which includes example data
in Tecplot format. The sbang post-install hook is applied to every installed
file that starts with the two characters #!, but this fails on the binary Tecplot
files, as they happen to start with #!TDV. Decoding them with UTF-8 fails
and an exception is thrown during post_install.
Co-authored-by: Martin Aumüller <aumuell@reserv.at>
This commit contains changes to support Google Cloud Storage
buckets as mirrors, meant for hosting Spack build-caches. This
feature is beneficial for folks that are running infrastructure on
Google Cloud Platform. On public cloud systems, resources are
ephemeral and in many cases, installing compilers, MPI flavors,
and user packages from scratch takes up considerable time.
Giving users the ability to host a Spack mirror that can store build
caches in GCS buckets offers a clean solution for reducing
application rebuilds for Google Cloud infrastructure.
Co-authored-by: Joe Schoonover <joe@fluidnumerics.com>
* Update cray architecture detection for milan
Update the cray architecture module table with x86-milan -> zen3
Make cray architecture more robust to back off from frontend
architecture to a recent ancestor if necessary. This should make
future cray updates less paingful for users.
Co-authored-by: Gregory Becker <becker33.llnl.gov>
Co-authored-by: Todd Gamblin <gamblin2@llnl.gov>
1. Don't use 16 digits of precision for the seconds, round to 2 digits after the comma
2. Don't print if we don't concretize (i.e. `spack concretize` without `-f` doesn't have to tell me it did nothing in `0.00` seconds)
* Speed-up environment concretization with a process pool
We can exploit the fact that the environment is concretized
separately and use a pool of processes to concretize it.
* Add module spack.util.parallel
Module includes `pool` and `parallel_map` abstractions,
along with implementation details for both.
* Add a new hash type to pass specs across processes
* Add tty msg with concretization time
We use POSIX `patch` to apply patches to files when building, but
`patch` by default prompts the user when it looks like a patch
has already been applied. This means that:
1. If a patch lands in upstream and we don't disable it
in a package, the build will start failing.
2. `spack develop` builds (which keep the stage around) will
fail the second time you try to use them.
To avoid that, we can run `patch` with `-N` (also called
`--forward`, but the long option is not in POSIX). `-N` causes
`patch` to just ignore patches that have already been applied.
This *almost* makes `patch` idempotent, except that it returns 1
when it detects already applied patches with `-N`, so we have to
look at the output of the command to see if it's safe to ignore
the error.
- [x] Remove non-POSIX `-s` option from `patch` call
- [x] Add `-N` option to `patch`
- [x] Ignore error status when `patch` returns 1 due to `-N`
- [x] Add tests for applying a patch twice and applying a bad patch
- [x] Tweak `spack.util.executable` so that it saves the error that
*would have been* raised with `fail_on_error=True`. This lets
us easily re-raise it.
Co-authored-by: Greg Becker <becker33@llnl.gov>
* relocate: call install_name_tool less
* zstd: fix race condition
Multiple times on my mac, trying to install in parallel led to failures
from multiple tasks trying to simultaneously create `$PREFIX/lib`.
* PackageMeta: simplify callback flush
* Relocate: use spack.platforms instead of platform
* Relocate: code improvements
* fix zstd
* Automatically fix rpaths for packages on macOS
* Only change library IDs when the path is already in the rpath
This restores the hardcoded library path for GCC.
* Delete nonexistent rpaths and add more testing
* Relocate: Allow @executable_path and @loader_path
* downgrade_docutils_version
* invalid version
* Update requirements.txt
* Improve spelling and shorten the reference link
* Update spack.yaml
* update version requirement
* update version to maximum of 0.16
Co-authored-by: bernhardkaindl <43588962+bernhardkaindl@users.noreply.github.com>
Currently Spack keeps track of the origin in the code of any
modification to the environment variables. This is very slow
and enabled unconditionally even in code paths where the
origin of the modification is never queried.
The only place where we inspect the origins of environment
modifications is before we start a build, If there's an override
of the type `e.set(...)` after incremental changes like
`e.append_path(..)`, which is a "suspicious" change.
This is very rare though.
If an override like this ever happens, it might mean a package is
broken. If that leads to build errors, we can just ask the user to run
`spack -d install ...` and check the warnings issued by Spack to find
the origins of the problem.
It can be frustrating to successfully run `spack test run --alias <name>` only to find you cannot get the results because you already use `<name>` in some previous stand-alone test execution. This PR prevents that from happening.
Using the Spec.constrain method doesn't work since it might
trigger a repository lookup which could break our directives
and triggers a circular import error.
To fix that we introduce a function to merge abstract anonymous
specs, based only on package names, which does not perform any
lookup in the repository.
The buildcache is now extracted in a temporary folder within the current store,
moved to its final place and relocated.
"spack clean -s" has been extended to also clean the temporary extraction directory.
Add hardlinks with absolute paths for libraries in the corge, garply and quux packages
to detect incorrect handling of hardlinks in tests.
The `find` command was missing for the examples forcing colorized output. Without this (or another suitable) command, spack produces output that is not using any color. Thus, without the `find` command one does not see any difference between forced colorized and non-colorized output.
when deployed on kubernetes, the server sends back permanent redirect responses.
This is elegantly handled by the requests library, but not urllib that we have
to use here, so I have to manually handle it by parsing the exception to
get the Location header, and then retrying the request there.
Signed-off-by: vsoch <vsoch@users.noreply.github.com>
The ASP-based solver maximizes the number of values in multi-valued
variants (if other higher order constraints are met), to avoid cases
where only a subset of the values that have been specified on the
command line or imposed by another constraint are selected.
Here we swap the priority of this optimization target with the
selection of the default providers, to avoid unexpected results
like the one in #26598
Seems like https://bugs.python.org/issue29699 is relevant. Better to
just ignore errors when removing them tmpdir. The OS will remove it
anyways.
Errors are happening randomly from tests that are using this fixture.
TL;DR: there are matching groups trying to match 1 or more occurrences of
something. We don't use the matching group. Therefore it's sufficient to test
for 1 occurrence. This reduce quadratic complexity to linear time.
---
When parsing logs of an mpich build, I'm getting a 4 minute (!!) wait
with 16 threads for regexes to run:
```
In [1]: %time p.parse("mpich.log")
Wall time: 4min 14s
```
That's really unacceptably slow...
After some digging, it seems a few regexes tend to have `O(n^2)` scaling
where `n` is the string / log line length. I don't think they *necessarily*
should scale like that, but it seems that way. The common pattern is this
```
([^:]+): error
```
which matches `: error` literally, and then one or more non-colons before that. So
for a log line like this:
```
abcdefghijklmnopqrstuvwxyz: error etc etc
```
Any of these are potential group matches when using `search` in Python:
```
abcdefghijklmnopqrstuvwxyz
bcdefghijklmnopqrstuvwxyz
cdefghijklmnopqrstuvwxyz
⋮
yz
z
```
but clearly the capture group should return the longest match.
My hypothesis is that Python has a very bad implementation of `search`
that somehow considers all of these, even though it can be implemented
in linear time by scanning for `: error` first, and then greedily expanding
the longest possible `[^:]+` match to the left. If Python indeed considers
all possible matches, then with `n` matches of length `1 .. n` you
see the `O(n^2)` slowness (i verified this by replacing + with {1,k}
and doubling `k`, it doubles the execution time indeed).
This PR fixes this by removing the `+`, so effectively changing the
O(n^2) into a O(n) worst case.
The reason we are fine with dropping `+` is that we don't use the
capture group anywhere, so, we just ensure `:: error` is not a match
but `x: error` is.
After going from O(n^2) to O(n), the 15MB mpich build log is parsed
in `1.288s`, so about 200x faster.
Just to be sure I've also updated `^CMake Error.*:` to `^CMake Error`,
so that it does not match with all the possible `:`'s in the line.
Another option is to use `.*?` there to make it quit scanning as soon as
possible, but what line that starts with `CMake Error` that does not have
a colon is really a false positive...
Installing packages with a lot of dependencies does not have an easy way
of judging the current progress (apart from running `spack spec -I pkg`
in another terminal). This change allows Spack to update the terminal's
title with status information, including its current progress as well as
information about the current and total number of packages.
- Do not store the full list of environment variables in
<prefix>/.spack/spack-build-env.txt because it may contain user secrets.
- Only store environment variable modifications upon installation.
- Variables like PATH may still contain user and system paths to make
spack-build-env.txt sourceable. Variables containing paths are
modified through prepending/appending, and if we don't apply these
to the current environment variable, we end up with statements like
`export PATH=/path/to/spack/bin` with system paths missing, meaning
no system binaries are in the path, which is a bad user experience.
- Do write the full environment to spack-build-env.txt in the staging dir,
but ensure it is readonly for the current user, to make it a bit safer
on shared systems.
Creates an environment in a temporary directory and activates it, which
is useful for a quick ephemeral environment:
```
$ spack env activate -p --temp
[spack-1a203lyg] $ spack add zlib
==> Adding zlib to environment /tmp/spack-1a203lyg
==> Updating view at /tmp/spack-1a203lyg/.spack-env/view
```
The DB should be what is trusted for certain operations.
If it is not present when read we should assume the
corresponding store is empty, rather than trying a
write operation during a read.
* Add a unit test
* Document what needs to be there in tests
When a symlink to a license file exists but is broken, the license symlink post-install hook fails
because os.path.exists() checks the existence of the target not the symlink itself.
os.path.lexists() is the proper function to use.
Environments push/pop scopes upon activation. If some lazily
evaluated value depending on the current configuration was
computed and cached before the scopes are pushed / popped
there will be an inconsistency in the current state.
This PR fixes the issue for stores, but it would be better
to move away from global state.
The `spack.architecture` module contains an `Arch` class that is very similar to `spack.spec.ArchSpec` but points to platform, operating system and target objects rather than "names". There's a TODO in the class since 2016:
abb0f6e27c/lib/spack/spack/architecture.py (L70-L75)
and this PR basically addresses that. Since there are just a few places where the `Arch` class was used, here we query the relevant platform objects where they are needed directly from `spack.platforms`. This permits to clean the code from vestigial logic.
Modifications:
- [x] Remove the `spack.architecture` module and replace its use by `spack.platforms`
- [x] Remove unneeded tests
* Use gnuconfig package for config file replacement for RISC-V.
This extends the changes in #26035 to handle RISC-V. Before this change,
many packages fail to configure on riscv64 due to config.guess being too
old to know about RISC-V. This is seen out of the box when clingo fails
to build from source due to pkgconfig failing to configure, throwing
error: "configure: error: cannot guess build type; you must specify one".
* Add riscv64 architecture
* Update vendored archspec from upstream project.
These archspec updates include changes needed to support riscv64.
* Update archspec's __init__.py to reflect the commit hash of archspec being used.
Cherry-picked from #25564 so this is standalone.
With this PR we can activate an environment in Spack itself, without computing changes to environment variables only necessary for "shell aware" env activation.
1. Activating an environment:
```python
spack.environment.activate(Environment(xyz)) -> None
```
this basically just sets `_active_environment` and modifies some config scopes.
2. Activating an environment **and** getting environment variable modifications for the shell:
```python
spack.environment.shell.activate(Environment(xyz)) -> EnvironmentModifications
```
This should make it easier/faster to do unit tests and scripting with spack, without the cli interface.
* Isolate bootstrap configuration from user configuration
* Search for build dependencies automatically if bootstrapping from sources
The bootstrapping logic will search for build dependencies
automatically if bootstrapping anything form sources. Any
external spec, if found, is written in a scope that is specific
to bootstrapping.
* Don't clean the bootstrap store with "spack clean -a"
* Copy bootstrap.yaml and config.yaml in the bootstrap area
- [x] Our wrapper error messages are sometimes hard to differentiate from other build
output, so prefix all errors from `die()` with '[spack cc] ERROR:'
- [x] The error we raise when running, say, `fc` without a Fortran compiler was not
clear enough. Clarify the message and the comment.
This converts everything in cc to POSIX sh, except for the parts currently
handled with bash arrays. Tests are still passing.
This version tries to be as straightforward as possible. Specifically, most conversions
are kept simple -- convert ifs to ifs, handle indirect expansion the way we do in
`setup-env.sh`, only mess with the logic in `cc`, and don't mess with the python code at
all.
The big refactor is for arrays. We can't rely on bash's nice arrays and be ignorant of
separators anymore. So:
1. To avoid complicated separator logic, there are three types of lists. They are:
* `$lsep`-separated lists, which end with `_list`. `lsep` is customizable, but we
picked `^G` (alarm bell) for `$lsep` because it's ASCII and it's unlikely that it
would actually appear in any arguments. If we need to get fancier (and I will lose
faith in the world if we do) then we could consider XON or XOFF.
* `:`-separated directory lists, which end with `_dirs`, `_DIRS`, `PATH`, or `PATHS`
* Whitespace-separated lists (like flags), which can have any other name.
Whitespace and colon-separated lists come with the territory with PATHs from env
vars and lists of flags. `^G` separated lists are what we use for most internal
variables, b/c it's more likely to work.
2. To avoid subshells, use a bunch of functions that do dirty `eval` stuff instead. This
adds 3 functions to deal with lists:
* `append LISTNAME ELEMENT [SEP]` will put `ELEMENT` at the end of the list called
`LISTNAME`. You can optionally say what separator you expect to use. Note that we
are taking advantage of everything being global and passing lists by name.
* `prepend LISTNAME ELEMENT [SEP]` like append, but puts `ELEMENT` at the start of
`LISTNAME`
* `extend LISTNAME1 LISTNAME2 [PREFIX]` appends everything in LISTNAME2 to
LISTNAME1, and optionally prepends `PREFIX` to every element (this is useful for
things like `-I`, `-isystem `, etc.
* `preextend LISTNAME1 LISTNAME2 [PREFIX]` prepends everything in LISTNAME2 to
LISTNAME1 in order, and optionally prepends `PREFIX` to every element.
The routines determine the separator for each argument by its name, so we don't have to
pass around separators everywhere. Amazingly, as long as you do not expand variables'
values within an `eval` environment, you can do all this and still preserve quoting.
When iterating over lists, the user of this API still has to set and unset `IFS`
properly.
We ended up having to ignore shellcheck SC2034 (unused variable), because using evals
all over the place means that shellcheck doesn't notice that our list variables are
actually used.
So far this is looking pretty good. I took the most complex unit test I could find
(which runs a sample link line) and ran the same command line 200 times in a shell
script. Times are roughly as follows:
For this invocation:
```console
$ bash -c 'time (for i in `seq 1 200`; do ~/test_cc.sh > /dev/null; done)'
```
I get the following performance numbers (the listed shells are what I put in `cc`'s
shebang):
**Original**
* Old version of `cc` with arrays and `bash v3.2.57` (macOS builtin): `4.462s` (`.022s` / call)
* Old version of `cc` with arrays and `bash v5.1.8` (Homebrew): `3.267s` (`.016s` / call)
**Using many subshells (#26408)**
* with `bash v3.2.57`: `25.302s` (`.127s` / call)
* with `bash v5.1.8`: `27.801s` (`.139s` / call)
* with `dash`: `15.302s` (`.077s` / call)
This version didn't seem to work with zsh.
**This PR (no subshells)**
* with `bash v3.2.57`: `4.973s` (`.025s` / call)
* with `bash v5.1.8`: `4.984s` (`.025s` / call)
* with `zsh`: `2.995s` (`.015s` / call)
* with `dash`: `1.890s` (`.0095s` / call)
Dash, with the new posix design, is easily the winner.
So there are several interesting things to note here:
1. Running the posix version in `bash` is slower than using `bash` arrays. That is to be
expected because it's doing a bunch of string processing where it likely did not have
to before, at least in `bash`.
2. `zsh`, at least on macOS, is significantly faster than the ancient `bash` they ship
with the system. Using `zsh` with the new version also makes the posix wrappers
faster than `develop`. So it's worth preferring `zsh` if we have it. I suppose we
should also try this with newer `bash` on Linux.
3. `bash v5.1.8` seems to be significantly faster than the old system `bash v3.2.57` for
arrays. For straight POSIX stuff, it's a little slower. It did not seem to matter
whether `--posix` was used.
4. `dash` is way faster than `bash` or `zsh`, so the real payoff just comes from being
able to use it. I am not sure if that is mostly startup time, but it's significant.
`dash` is ~2.4x faster than the original `bash` with arrays.
So, doing a lot of string stuff is slower than arrays, but converting to posix seems
worth it to be able to exploit `dash`.
- [x] Convert all but array-related portions to sh
- [x] Fix basic shellcheck issues.
- [x] Convert arrays to use a few convenience functions: `append` and `extend`
- [x] Get `cc` tests passing.
- [x] Add `cc` tests where needed passing.
- [x] Benchmarking.
Co-authored-by: Tom Scogland <scogland1@llnl.gov>
Co-authored-by: Danny McClanahan <1305167+cosmicexplorer@users.noreply.github.com>
When using modules for compiler (and/or external package), if a
package's `setup_[dependent_]build_environment` sets `PYTHONHOME`, it
can influence the python subprocess executed to gather module
information.
The error seen was:
```
json.decoder.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
```
But the actual hidden error happened in the `python -c 'import
json...'` subprocess, which made it return an empty string as json:
```
ModuleNotFoundError: No module named 'encodings'
```
This fix uses `python -E` to ignore `PYTHONHOME` and
`PYTHONPATH`. Should be safe here because the python subprocess code
only use packages built-in python.
The python subprocess in `environment.py` was also patched to be safe
and consistent.
* Remove redundant preserve environment code in build environment
* Remove fix for a bug in a module
See https://github.com/spack/spack/issues/3153#issuecomment-280460041,
this shouldn't be part of core spack.
* Don't module unload cray-libsci on all platforms
Spack has logic to preserve an installation prefix when it is being
overwritten: if the new install fails, the old files are restored.
This PR adds error handling for when this backup restoration fails
(i.e. the new install fails, and then some unexpected error prevents
restoration from the backup).
