This replaces all of the Apache blurbs at the start of each file with an
`# SPDX-License-Identifier: Apache-2.0` string. It also fixes existing
uses to be consistent in capitalization, and to be placed above any
copyright notices.
This removes nearly 3000 lines of boilerplate from the project (only
python files), which no developer cares to look at.
SPDX is in common use, particularly in the Linux kernel, and is the
recommended format for Meson's own `project(license: )` field
Simply store the module it is expected to be found in. That module then
appends to the packages dict, which guarantees mypy can verify that
it's got the right type -- there is no casting needed.
This lessens the amount of code imported at Meson startup by mapping
each dependency to a dictionary entry and using a programmable import to
dynamically return it.
Minus 16 files and 6399 lines of code imported at startup.
We expose detect.py as the mesonbuild.dependencies entrypoint and import
it upfront everywhere. But unless the `dependency()` function is
actually invoked, we don't need *any* of the private implementations for
this.
Avoid doing so until, as part of actual dependency lookup, we attempt
that specific dependency method. This avoids importing big modules if
`method:` is specified, and in most cases hopefully pkg-config works and
we can avoid importing the cmake implementation particularly.
Actually avoiding most of these imports requires more refactoring. But
even so, the garden path no longer needs to import the dub dependency
impl.
We need to extend the candidates the same way per method, but we handle
each method twice: once in explicit method checks, and once for auto. We
can just handle auto as a special list of methods, though.
Which adds the `use-set-for-membership` check. It's generally faster in
python to use a set with the `in` keyword, because it's a hash check
instead of a linear walk, this is especially true with strings, where
it's actually O(n^2), one loop over the container, and an inner loop of
the strings (as string comparison works by checking that `a[n] == b[n]`,
in a loop).
Also, I'm tired of complaining about this in reviews, let the tools do
it for me :)
In the debug logs, always log if a dependency lookup raises a
DependencyException. In the `required: false` case, this information
would otherwise disappear forever, and we would just not even log that
we tried it -- it doesn't appear in "(tried x, y and z)".
In the `required: true` case, we would re-raise the first exception if
it failed to be detected. Update the raise message with the same
information we print to the debug logs, indicating which dependency and
which method was used in the failing attempt.
functools.partial preserves information about how the method was
created, lambdas do not. Also, we just want to freeze the first argument
and forward the rest anyway.
This also lets us get rid of a mypy error that was being ignored.
Using future annotations, type annotations become strings at runtime and
don't impact performance. This is not possible to do with T.cast though,
because it is a function argument instead of an annotation.
Quote the type argument everywhere in order to have the same effect as
future annotations. This also allows linters to better detect in some
cases that a given import is typing-only.
A bunch of files have several T.TYPE_CHECKING blocks that each do some
things which could just as well be done once, with a single `if`
statement. Make them do so.
'{}'.format('foo') for any given value of 'foo' (in this case, a
function returning a string), can always just be 'foo' directly, which
is a lot more readable.
We have a lot of these. Some of them are harmless, if unidiomatic, such
as `if (condition)`, others are potentially dangerous `assert(...)`, as
`assert(condtion)` works as expected, but `assert(condition, message)`
will result in an assertion that never triggers, as what you're actually
asserting is `bool(tuple[2])`, which will always be true.
Dylan Baker
Eli Schwartz
Xavier Claessens
Alf Henrik Sauge
Daniel Mensinger
Thomas Heijligen