Local `git` tests will fail with `fatal: transport 'file' not allowed` when using git 2.38.1 or higher, due to a fix for `CVE-2022-39253`.
This was fixed in CI in #33429, but that doesn't help the issue for anyone's local environment. Instead of fixing this with git config in CI, we should ensure that the tests run anywhere.
- [x] Introduce `spack.util.git`.
- [x] Use `spack.util.git.get_git()` to get a git executable, instead of `which("git")` everywhere.
- [x] Make all `git` tests use a `git` fixture that goes through `spack.util.git.get_git()`.
- [x] Add `-c protocol.file.allow=always` to all `git` invocations under `pytest`.
- [x] Revert changes from #33429, which are no longer needed.
`spack graph` has been reworked to use:
- Jinja templates
- builder objects to construct the template context when DOT graphs are requested.
This allowed to add a new colored output for DOT graphs that highlights both
the dependency types and the nodes that are needed at runtime for a given spec.
`spack solve` is supposed to show you times you can compare. setup, ground, solve, etc.
all in a list. You're also supposed to be able to compare easily across runs. With
`pretty_seconds()` (introduced in #33900), it's easy to miss the units, e.g., spot the
bottleneck here:
```console
> spack solve --timers tcl
setup 22.125ms
load 16.083ms
ground 8.298ms
solve 848.055us
total 58.615ms
```
It's easier to see what matters if these are all in the same units, e.g.:
```
> spack solve --timers tcl
setup 0.0147s
load 0.0130s
ground 0.0078s
solve 0.0008s
total 0.0463s
```
And the units won't fluctuate from run to run as you make changes.
-[x] make `spack solve` timings consistent like before
Avoid text decoding and encoding when combining log files, instead
combine in binary mode.
Also do a buffered copy which is sometimes faster for large log files.
Currently, the Spack docs show documentation for submodules *before* documentation for
submodules on package doc pages. This means that if you put docs in `__init__.py` in
some package, the docs in there will be shown *after* the docs for all submodules of the
package instead of at the top as an intro to the package. See, e.g.,
[the lockfile docs](https://spack.readthedocs.io/en/latest/spack.environment.html#module-spack.environment),
which should be at the
[top of that page](https://spack.readthedocs.io/en/latest/spack.environment.html).
- [x] add the `--module-first` option to sphinx so that it generates module docs at top of page.
The sticky property will prevent clingo from changing the amdgpu_target
to work around conflicts. This is the same behaviour as was adopted for
cuda_arch in 055c9d125d.
Implement an alternative strategy to do index.json invalidation.
The current approach of pairs of index.json / index.json.hash is
problematic because it leads to races.
The standard solution for cache invalidation is etags, which are
supported by both http and s3 protocols, which allows one to do
conditional fetches.
This PR implements that for the http/https schemes. It should also work
for s3 schemes, but that requires other prs to be merged.
Also it improves unit tests for index.json fetches.
Interim fix for #34559
Spack's MSVC compiler definition uses ifx as the Fortran compiler.
Prior to #33385, the Spack MSVC compiler definition required the
executable to be called "ifx.exe"; #33385 replaced this with just
"ifx", which inadvertently led to ifx falsely indicating the
presence of MSVC on non-Windows systems (which leads to future
errors when attempting to query/use those compiler objects).
This commit applies a short-term fix by updating MSVC Fortran
version detection to always indicate a failure on non-Windows.
fixes#34518
Fix an issue due to the MRO chain of the package wrapper
during build. Before this PR we were always returning
False when the builder object was created before the
run_tests method was monkey patched.
This reverts commit 8035eeb36d.
And also removes logic around an additional HEAD request to prevent
a more expensive GET request on wrong content-type. Since large files
are typically an attachment and only downloaded when reading the
stream, it's not an optimization that helps much, and in fact the logic
was broken since the GET request was done unconditionally.
The main issue that's fixed is that Spack passes paths (as strings) to
functions that require urls. That wasn't an issue on unix, since there
you can simply concatenate `file://` and `path` and all is good, but on
Windows that gives invalid file urls. Also on Unix, Spack would not deal with uri encoding like x%20y for file paths.
It also removes Spack's custom url.parse function, which had its own incorrect interpretation of file urls, taking file://x/y to mean the relative path x/y instead of hostname=x and path=/y. Also it automatically interpolated variables, which is surprising for a function that parses URLs.
Instead of all sorts of ad-hoc `if windows: fix_broken_file_url` this PR
adds two helper functions around Python's own path2url and reverse.
Also fixes a bug where some `spack buildcache` commands
used `-d` as a flag to mean `--mirror-url` requiring a URL, and others
`--directory`, requiring a path. It is now the latter consistently.
When installing binary tarballs, Spack has to download from its
binary mirrors.
Sometimes Spack has cache available for these mirrors.
That cache helps to order mirrors to increase the likelihood of
getting a direct hit.
However, currently, when Spack can't find a spec in any local cache
of mirrors, it's very dumb:
- A while ago it used to query each mirror to see if it had a spec,
and use that information to order the mirror again, only to go
about and do exactly a part of what it just did: fetch the spec
from that mirror confused
- Recently, it was changed to download a full index.json, which
can be multiple dozens of MBs of data and may take a minute to
process thanks to the blazing fast performance you get with
Python.
In a typical use case of concretizing with reuse, the full index.json
is already available, and it likely that the local cache gives a perfect
mirror ordering on install. (There's typically no need to update any
caches).
However, in the use case of Gitlab CI, the build jobs don't have cache,
and it would be smart to just do direct fetches instead of all the
redundant work of (1) and/or (2).
Also, direct fetches from mirrors will soon be fast enough to
prefer these direct fetches over the excruciating slowness of
index.json files.
Writing a long dependency like:
```python
depends_on(
"llvm"
"targets=amdgpu,bpf,nvptx,webassembly"
"version_suffix=jl +link_llvm_dylib ~internal_unwind"
)
```
when it should be formatted like this:
```python
depends_on(
"llvm"
" targets=amdgpu,bpf,nvptx,webassembly"
" version_suffix=jl +link_llvm_dylib ~internal_unwind"
)
```
can cause really subtle errors. Specifically, you'll get something like this in
the package sanity tests:
```
AttributeError: 'NoneType' object has no attribute 'rpartition'
```
because Spack happily constructs a class that has a dependency with name `None`.
We can catch this earlier by banning anonymous dependency specs directly in
`depends_on()`. This causes the package itself to fail to parse, and emits
a much better error message:
```
==> Error: Invalid dependency specification in package 'julia':
llvmtargets=amdgpu,bpf,nvptx,webassemblyversion_suffix=jl +link_llvm_dylib ~internal_unwind
```
* `url_exists` improvements (take 2)
Make `url_exists` do HEAD request for http/https/s3 protocols
Rework the opener: construct it once and only once, dynamically dispatch
to the right one based on config.
It's very common for us to tell users to grep through the existing Spack packages to
find examples of what they want, and it's also very common for package developers to do
it. Now, searching packages is even easier.
`spack pkg grep` runs grep on all `package.py` files in repos known to Spack. It has no
special options other than the search string; all options passed to it are forwarded
along to `grep`.
```console
> spack pkg grep --help
usage: spack pkg grep [--help] ...
positional arguments:
grep_args arguments for grep
options:
--help show this help message and exit
```
```console
> spack pkg grep CMakePackage | head -3
/Users/gamblin2/src/spack/var/spack/repos/builtin/packages/3dtk/package.py:class _3dtk(CMakePackage):
/Users/gamblin2/src/spack/var/spack/repos/builtin/packages/abseil-cpp/package.py:class AbseilCpp(CMakePackage):
/Users/gamblin2/src/spack/var/spack/repos/builtin/packages/accfft/package.py:class Accfft(CMakePackage, CudaPackage):
```
```console
> spack pkg grep -Eho '(\S*)\(PythonPackage\)' | head -3
AwsParallelcluster(PythonPackage)
Awscli(PythonPackage)
Bueno(PythonPackage)
```
## Return Value
This retains the return value semantics of `grep`:
* 0 for found,
* 1 for not found
* >1 for error
## Choosing a `grep`
You can set the ``SPACK_GREP`` environment variable to choose the ``grep``
executable this command should use.
Unit tests on Windows are supposed to pass for any PR to pass CI.
However, the return code for the unit test command was not being
checked, which meant this check was always passing (effectively
disabled). This PR
* Properly checks the result of the unit tests and fails if the
unit tests fail
* Fixes (or disables on Windows) a number of tests which have
"drifted" out of support on Windows since this check was
effectively disabled
## Motivation
Our parser grew to be quite complex, with a 2-state lexer and logic in the parser
that has up to 5 levels of nested conditionals. In the future, to turn compilers into
proper dependencies, we'll have to increase the complexity further as we foresee
the need to add:
1. Edge attributes
2. Spec nesting
to the spec syntax (see https://github.com/spack/seps/pull/5 for an initial discussion of
those changes). The main attempt here is thus to _simplify the existing code_ before
we start extending it later. We try to do that by adopting a different token granularity,
and by using more complex regexes for tokenization. This allow us to a have a "flatter"
encoding for the parser. i.e., it has fewer nested conditionals and a near-trivial lexer.
There are places, namely in `VERSION`, where we have to use negative lookahead judiciously
to avoid ambiguity. Specifically, this parse is ambiguous without `(?!\s*=)` in `VERSION_RANGE`
and an extra final `\b` in `VERSION`:
```
@ 1.2.3 : develop # This is a version range 1.2.3:develop
@ 1.2.3 : develop=foo # This is a version range 1.2.3: followed by a key-value pair
```
## Differences with the previous parser
~There are currently 2 known differences with the previous parser, which have been added on purpose:~
- ~No spaces allowed after a sigil (e.g. `foo @ 1.2.3` is invalid while `foo @1.2.3` is valid)~
- ~`/<hash> @1.2.3` can be parsed as a concrete spec followed by an anonymous spec (before was invalid)~
~We can recover the previous behavior on both ones but, especially for the second one, it seems the current behavior in the PR is more consistent.~
The parser is currently 100% backward compatible.
## Error handling
Being based on more complex regexes, we can possibly improve error
handling by adding regexes for common issues and hint users on that.
I'll leave that for a following PR, but there's a stub for this approach in the PR.
## Performance
To be sure we don't add any performance penalty with this new encoding, I measured:
```console
$ spack python -m timeit -s "import spack.spec" -c "spack.spec.Spec(<spec>)"
```
for different specs on my machine:
* **Spack:** 0.20.0.dev0 (c9db4e50ba045f5697816187accaf2451cb1aae7)
* **Python:** 3.8.10
* **Platform:** linux-ubuntu20.04-icelake
* **Concretizer:** clingo
results are:
| Spec | develop | this PR |
| ------------- | ------------- | ------- |
| `trilinos` | 28.9 usec | 13.1 usec |
| `trilinos @1.2.10:1.4.20,2.0.1` | 131 usec | 120 usec |
| `trilinos %gcc` | 44.9 usec | 20.9 usec |
| `trilinos +foo` | 44.1 usec | 21.3 usec |
| `trilinos foo=bar` | 59.5 usec | 25.6 usec |
| `trilinos foo=bar ^ mpich foo=baz` | 120 usec | 82.1 usec |
so this new parser seems to be consistently faster than the previous one.
## Modifications
In this PR we just substituted the Spec parser, which means:
- [x] Deleted in `spec.py` the `SpecParser` and `SpecLexer` classes. deleted `spack/parse.py`
- [x] Added a new parser in `spack/parser.py`
- [x] Hooked the new parser in all the places the previous one was used
- [x] Adapted unit tests in `test/spec_syntax.py`
## Possible future improvements
Random thoughts while working on the PR:
- Currently we transform hashes and files into specs during parsing. I think
we might want to introduce an additional step and parse special objects like
a `FileSpec` etc. in-between parsing and concretization.
This commit reworks the bootstrapping procedure to use Spack environments
as much as possible.
The `spack.bootstrap` module has also been reorganized into a Python package.
A distinction is made among "core" Spack dependencies (clingo, GnuPG, patchelf)
and other dependencies. For a number of reasons, explained in the `spack.bootstrap.core`
module docstring, "core" dependencies are bootstrapped with the current ad-hoc
method.
All the other dependencies are instead bootstrapped using a Spack environment
that lives in a directory specific to the interpreter and the architecture being used.
All the vermin annotations we were using were for optional features introduced in early
Python 3 versions. We no longer need any of them, as we only support Python 3.6+. If we
start optionally using features from newer Pythons than 3.6, we will need more vermin
annotations.
Co-authored-by: Harmen Stoppels <harmenstoppels@gmail.com>
Co-authored-by: Harmen Stoppels <harmenstoppels@gmail.com>
We no longer support Python <3.6, so we don't need to check whether Python supports SSL
verification in `spack.util.web`.
- [x] Remove a bunch of logic we needed to appease Python 2
We've stopped supporting Python 2, and contributors are noticing that our CI no longer
allows Python 2.7 comment type hints. They end up having to adapt them, but this adds
extra unrelated work to PRs.
- [x] Move to 3.6 type hints across the entire code base
All Spec attributes are now represented as `attr(attribute_name, ... args ...)`, e.g.
`attr(node, "hdf5")` instead of `node("hdf5")`, as we *have* to maintain the `attr()`
form anyway, and it simplifies the encoding to just maintain one form of the Spec
information.
Background
----------
In #20644, we unified the way conditionals are done in the concretizer, but this
introduced a nasty aspect to the encoding: we have to maintain everything we want in
general conditions in two forms: `predicate(...)` and `attr("predicate", ...)`. For
example, here's the start of the table of spec attributes we had to maintain:
```prolog
node(Package) :- attr("node", Package).
virtual_node(Virtual) :- attr("virtual_node", Virtual).
hash(Package, Hash) :- attr("hash", Package, Hash).
version(Package, Version) :- attr("version", Package, Version).
...
```
```prolog
attr("node", Package) :- node(Package).
attr("virtual_node", Virtual) :- virtual_node(Virtual).
attr("hash", Package, Hash) :- hash(Package, Hash).
attr("version", Package, Version) :- version(Package, Version).
...
```
This adds cognitive load to understanding how the concretizer works, as you have to
understand the equivalence between the two forms of spec attributes. It also makes the
general condition logic in #20644 hard to explain, and it's easy to forget to add a new
equivalence to this list when adding new spec attributes (at least two people have been
bitten by this).
Solution
--------
- [x] remove the equivalence list from `concretize.lp`
- [x] simplify `spec_clauses()`, `condition()`, and other functions in `asp.py` that need
to deal with `Spec` attributes.
- [x] Convert all old-form spec attributes in `concretize.lp` to the `attr()` form
- [x] Simplify `display.lp`, where we also had to maintain a list of spec attributes. Now
we only need to show `attr/2`, `attr/3`, and `attr/4`.
- [x] Simplify model extraction logic in `asp.py`.
Performance
-----------
This seems to result in a smaller grounded problem (as there are no longer duplicated
`attr("foo", ...)` / `foo(...)` predicates in the program), but it also adds a slight
performance overhead vs. develop. Ultimately, simplifying the encoding will be a win,
particularly for improving error messages.
Notes
-----
This will simplify future node refactors in `concretize.lp` (e.g., not identifying nodes
by package name, which we need for separate build dependencies).
I'm still not entirely used to reading `attr()` notation, but I thnk it's ultimately
clearer than what we did before. We need more uniform naming, and it's now clear what is
part of a solution. We should probably continue making the encoding of `concretize.lp`
simpler and more self-explanatory. It may make sense to rename `attr` to something like
`node_attr` and to simplify the names of node attributes. It also might make sense to do
something similar for other types of predicates in `concretize.lp`.
This reverts commit d06fd26c9a.
The problem is that Bitbucket's API forwards download requests to an S3 bucket using a temporary URL. This URL includes a signature for the request, which embeds the HTTP verb. That means only GET requests are allowed, and HEAD requests would fail verification, leading to 403 erros. The same is observed when using `curl -LI ...`
Using `-Werror` is good practice for development and testing, but causes us a great
deal of heartburn supporting multiple compiler versions, especially as newer compiler
versions add warnings for released packages. This PR adds support for suppressing
`-Werror` through spack's compiler wrappers. There are currently three modes for
the `flags:keep_werror` setting:
* `none`: (default) cancel all `-Werror`, `-Werror=*` and `-Werror-*` flags by
converting them to `-Wno-error[=]*` flags
* `specific`: preserve explicitly selected warnings as errors, such as
`-Werror=format-truncation`, but reverse the blanket `-Werror`
* `all`: keeps all `-Werror` flags
These can be set globally in config.yaml, through the config command-line flags, or
overridden by a particular package (some packages use Werror as a proxy for determining
support for other compiler features). We chose to use this approach because:
1. removing `-Werror` flags entirely broke *many* build systems, especially autoconf
based ones, because of things like checking `-Werror=feature` and making the
assumption that if that did not error other flags related to that feature would also work
2. Attempting to preserve `-Werror` in some phases but not others caused similar issues
3. The per-package setting came about because some packages, even with all these
protections, still use `-Werror` unsafely. Currently there are roughly 3 such packages
known.
For reasons beyond me Python thinks it's a great idea to upgrade HEAD
requests to GET requests when following redirects. So, this PR adds a
better `HTTPRedirectHandler`, and also moves some ad-hoc logic around
for dealing with disabling SSL certs verification.
Also, I'm stumped by the fact that Spack's `url_exists` does not use
HEAD requests at all, so in certain cases Spack awkwardly downloads
something first to see if it can download it, and then downloads it
again because it knows it can download it. So, this PR ensures that both
urllib and botocore use HEAD requests.
Finally, it also removes some things that were there to support currently
unsupported Python versions.
Notice that the HTTP spec [section 10.3.2](https://datatracker.ietf.org/doc/html/rfc2616.html#section-10.3.2) just talks about how to deal
with POST request on redirect (whether to follow or not):
> If the 301 status code is received in response to a request other
> than GET or HEAD, the user agent MUST NOT automatically redirect the
> request unless it can be confirmed by the user, since this might
> change the conditions under which the request was issued.
> Note: When automatically redirecting a POST request after
> receiving a 301 status code, some existing HTTP/1.0 user agents
> will erroneously change it into a GET request.
Python has a comment about this, they choose to go with the "erroneous change".
But they then mess up the HEAD request while following the redirect, probably
because they were too busy discussing how to deal with POST.
See https://github.com/python/cpython/pull/99731
This adds super-lazy maintainer mode to `spack checksum`: Instead of
only printing the new checksums to the terminal, `-a` and
`--add-to-package` will add the new checksums to the `package.py` file
and open it in the editor afterwards for final checks.
* Add a WindowsRegistryView class, which can query for existing
package installations on Windows. This is particularly important
because some Windows packages (including those added here)
do not allow two simultaneous installs, and this can be
queried in order to provide a clear error message.
* Consolidate external path detection logic for Windows into
WindowsKitExternalPaths and WindowsCompilerExternalPaths objects.
* Add external-only packages win-sdk and wgl
* Add win-wdk (including external detection) which depends on
win-sdk
* Replace prior msmpi implementation with a source-based install
(depends on win-wdk). This install can control the install
destination (unlike the binary installation).
* Update MSVC compiler to choose vcvars based on win-sdk dependency
* Provide "msbuild" module-level variable to packages during build
* When creating symlinks on Windows, need to explicitly specify when
a symlink target is a directory
* executables_in_path no-longer defaults to using PATH (this is
now expected to be taken care of by the caller)
Spec traversals can now specify a topological ordering. A topologically-
ordered traversal with input specs X1, X2... will
* include all of X1, X2... and their children
* be ordered such that a given node is guaranteed to appear before any
of its children in the traversal
Other notes:
* Input specs can be children of other input specs (this is useful if
a user specifies a set of specs to uninstall: some of those specs
might be children of others)
* `direction="parents"` will produce a reversed topological order
(children always come before parents).
* `cover="edges"` will generate a list of edges L such that (a) input
edges will always appear before output edges and (b) if you create
a list with the destination of each edge in L the result is
topologically ordered
* test_suite.py: speed up slow test by using mock packages
* Don't resolve the sha during unit-tests
* Skip long-running test that fails, instead of executing it
* uninstall: fix accidental cubic complexity
Currently spack uninstall runs in worst case cubic time complexity
thanks to traversal during traversal during traversal while collecting
the specs to be uninstalled.
Also brings down the number of error messages printed to something
linear in the amount of matching specs instead of quadratic.
* Add a regression test for 33928
* PackageBase should not set `(build|install)_time_test_callbacks`
* Fix audits by preserving the current semantic
Co-authored-by: Massimiliano Culpo <massimiliano.culpo@gmail.com>
* Enable hdf5 build (including +mpi) on Windows
* This includes updates to hdf5 dependencies openssl (minor edit) and
bzip2 (more-extensive edits)
* Add binary-based installation of msmpi (this is currently the only
supported MPI implementation in Spack for Windows). Note that this
does not install to the Spack-specified prefix. This implementation
will be replaced with a source-based implementation
Co-authored-by: John Parent <john.parent@kitware.com>
#32942 fixed bootstrapping on Windows by having the core Spack
code explicitly add the Clingo package bin/ directory as a
DLL path.
Since then, #33400 has been merged, which ensures that the Python
module installed by the Spack `clingo` package can find the DLLs
in bin/.
Note that this only works for Spack instances which have been
bootstrapped after #33400: for installations bootstrapped before
then, you will need to run `spack clean -b` (this would only
be needed for Spack instances running on Windows).
Revamp the timer so we always have a designated begin and end.
Fix a bug where the phase timer was stopped before the phase started,
resulting in incorrect timing reports in timers.json.
Add spack.ld_so_conf.host_dynamic_linker_search_paths
Retrieve the current host runtime search paths for shared libraries;
for GNU and musl Linux we try to retrieve the dynamic linker from the
current Python interpreter and then find the corresponding config file
(e.g. ld.so.conf or ld-musl-<arch>.path). Similar can be done for
BSD and others, but this is not implemented yet. The default paths
are always returned. We don't check if the listed directories exist.
Use this in spack external find for libraries.
Co-authored-by: Harmen Stoppels <harmenstoppels@gmail.com>
While binaries built for PRs that get merged must still be rebuilt
in develop pipelines, they can be used by other PRs that find they
would otherwise need to rebuild them. Now that spackbot is
managing copying PR binaries from merged PRs into a shared location,
keeping it pruned to a reasonable size, and making sure the indices
are up to date, spack can use these mirrors as a potential source
of binaries.
I'm finding I often want the date in my paths and it would be nice if spack had a config variable for this.
Co-authored-by: Tamara Dahlgren <35777542+tldahlgren@users.noreply.github.com>
* Remove CI jobs related to Python 2.7
* Remove Python 2.7 specific code from Spack core
* Remove externals for Python 2 only
* Remove llnl.util.compat
We added a hotfix to releases/v0.19 with a feature flag, but the flag
is incompatible with the config schema on `develop`.
- [x] Ensure schema is compatible on develop even though config option is unused.
* Speed-up bootstrap mirror unit test
The unit test doesn't need to concretize, since it checks
only metadata for the mirror.
* architecture.py: use "default_mock_concretization" for slow test
Environments and environment views have taken over the role of `spack activate/deactivate`, and we should deprecate these commands for several reasons:
- Global activation is a really poor idea:
- Install prefixes should be immutable; since they can have multiple, unrelated dependents; see below
- Added complexity elsewhere: verification of installations, tarballs for build caches, creation of environment views of packages with unrelated extensions "globally activated"... by removing the feature, it gets easier for people to contribute, and we'd end up with fewer bugs due to edge cases.
- Environment accomplish the same thing for non-global "activation" i.e. `spack view`, but better.
Also we write in the docs:
```
However, Spack global activations have two potential drawbacks:
#. Activated packages that involve compiled C extensions may still
need their dependencies to be loaded manually. For example,
``spack load openblas`` might be required to make ``py-numpy``
work.
#. Global activations "break" a core feature of Spack, which is that
multiple versions of a package can co-exist side-by-side. For example,
suppose you wish to run a Python package in two different
environments but the same basic Python --- one with
``py-numpy@1.7`` and one with ``py-numpy@1.8``. Spack extensions
will not support this potential debugging use case.
```
Now that environments are established and views can take over the role of activation
non-destructively, we can remove global activation/deactivation.
Currently, external `PythonPackage`s cause install failures because the logic in `PythonPackage` assumes that it can ask for `spec["python"]`. Because we chop off externals' dependencies, an external Python extension may not have a `python` dependency.
This PR resolves the issue by guaranteeing that a `python` node is present in one of two ways:
1. If there is already a `python` node in the DAG, we wire the external up to it.
2. If there is no existing `python` node, we wire up a synthetic external `python` node, and we assume that it has the same prefix as the external.
The assumption in (2) isn't always valid, but it's better than leaving the user with a non-working `PythonPackage`.
The logic here is specific to `python`, but other types of extensions could take advantage of it. Packages need only define `update_external_dependencies(self)`, and this method will be called on externals after concretization. This likely needs to be fleshed out in the future so that any added nodes are included in concretization, but for now we only bolt on dependencies post-concretization.
Co-authored-by: Todd Gamblin <tgamblin@llnl.gov>
Spack currently creates a temporary sbang that is moved "atomically" in place,
but this temporary causes races when multiple processes start installing sbang.
Let's just stick to an idempotent approach. Notice that we only re-install sbang
if Spack updates it (since we do file compare), and sbang was only touched
18 times in the past 6 years, whereas we hit the sbang tempfile issue
frequently with parallel install on a fresh spack instance in CI.
Also fixes a bug where permissions weren't updated if config changed but
the latest version of the sbang file was already installed.
The `intel` compiler at versions > 20 is provided by the `intel-oneapi-compilers-classic`
package (a thin wrapper around the `intel-oneapi-compilers` package), and the `oneapi`
compiler is provided by the `intel-oneapi-compilers` package.
Prior to this work, neither of these compilers could be bootstrapped by Spack as part of
an install with `install_missing_compilers: True`.
Changes made to make these two packages bootstrappable:
1. The `intel-oneapi-compilers-classic` package includes a bin directory and symlinks
to the compiler executables, not just logical pointers in Spack.
2. Spack can look for bootstrapped compilers in directories other than `$prefix/bin`,
defined on a per-package basis
3. `intel-oneapi-compilers` specifies a non-default search directory for the
compiler executables.
4. The `spack.compilers` module now can make more advanced associations between
packages and compilers, not just simple name translations
5. Spack support for lmod hierarchies accounts for differences between package
names and the associated compiler names for `intel-oneapi-compilers/oneapi`,
`intel-oneapi-compilers-classic/intel@20:`, `llvm+clang/clang`, and
`llvm-amdgpu/rocmcc`.
- [x] full end-to-end testing
- [x] add unit tests
"spack install foo" no longer adds package "foo" to the environment
(i.e. to the list of root specs) by default: you must specify "--add".
Likewise "spack uninstall foo" no longer removes package "foo" from
the environment: you must specify --remove. Generally this means
that install/uninstall commands will no longer modify the users list
of root specs (which many users found problematic: they had to
deactivate an environment if they wanted to uninstall a spec without
changing their spack.yaml description).
In more detail: if you have environments e1 and e2, and specs [P, Q, R]
such that P depends on R, Q depends on R, [P, R] are in e1, and [Q, R]
are in e2:
* `spack uninstall --dependents --remove r` in e1: removes R from e1
(but does not uninstall it) and uninstalls (and removes) P
* `spack uninstall -f --dependents r` in e1: will uninstall P, Q, and
R (i.e. e2 will have dependent specs uninstalled as a side effect)
* `spack uninstall -f --dependents --remove r` in e1: this uninstalls
P, Q, and R, and removes [P, R] from e1
* `spack uninstall -f --remove r` in e1: uninstalls R (so it is
"missing" in both environments) and removes R from e1 (note that e1
would still install R as a dependency of P, but it would no longer
be listed as a root spec)
* `spack uninstall --dependents r` in e1: will fail because e2 needs R
Individual unit tests were created for each of these scenarios.
Somehow a network error when cloning the repo for ci gets
categorized by gitlab as a script failure. To make sure we retry
jobs that failed for that reason or a similar one, include
"script_failure" as one of the reasons for retrying service jobs
(which include "no specs to rebuild" jobs, update buildcache
index jobs, and temp storage cleanup jobs.
Add a `project` block to the toml config along with development and CI
dependencies and a minimal `build-system` block, doing basically
nothing, so that spack can be bootstrapped to a full development
environment with:
```shell
$ hatch -e dev shell
```
or for a minimal environment without hatch:
```shell
$ python3 -m venv venv
$ source venv/bin/activate
$ python3 -m pip install --upgrade pip
$ python3 -m pip install -e '.[dev]'
```
This means we can re-use the requirements list throughout the workflow
yaml files and otherwise maintain this list in *one place* rather than
several disparate ones. We may be stuck with a couple more temporarily
to continue supporting python2.7, but aside from that it's less places
to get out of sync and a couple new bootstrap options.
Co-authored-by: Adam J. Stewart <ajstewart426@gmail.com>
This change uses the aws cli, if available, to retrieve spec files
from the mirror to a local temp directory, then parallelizes the
reading of those files from disk using multiprocessing.ThreadPool.
If the aws cli is not available, then a ThreadPool is used to fetch
and read the spec files from the mirror.
Using aws cli results in ~16 times speed up to recreate the binary
mirror index, while just parallelizing the fetching and reading
results in ~3 speed up.
The compiler bootstrapping logic currently does not add a task when the compiler package is already in the install task queue. This causes failures when the compiler package is added without the additional metadata telling the task to update the compilers list.
Solution: requeue compilers for bootstrapping when needed, to update `task.compiler` metadata.
Currently, develop specs that are not roots and are not explicitly listed dependencies
of the roots are not applied.
- [x] ensure dev specs are applied.
Co-authored-by: Todd Gamblin <tgamblin@llnl.gov>
`spack env create` enables a view by default (in a weird hidden
directory, but well...). This is asking for trouble with the other
default of `concretizer:unify:false`, since having different flavors of
the same spec in an environment, leads to collision errors when
generating the view.
A change of defaults would improve user experience:
However, `unify:true` makes most sense, since any time the issue is
brought up in Slack, the user changes the concretization config, since
it wasn't the intention to have different flavors of the same spec, and
install times are decreased.
Further we improve the docs and drop the duplicate root spec limitation
Dependencies specified by hash are unique in Spack in that the abstract
specs are created with internal structure. In this case, the constraint
generation for spec matrices fails due to flattening the structure.
It turns out that the dep_difference method for Spec.constrain does not
need to operate on transitive deps to ensure correctness. Removing transitive
deps from this method resolves the bug.
- [x] Includes regression test
