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These are only used for type checking, so don't bother importing them at
runtime.
Generally add future annotations at the same time, to make sure that
existing uses of these imports don't need to be quoted.
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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.
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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.
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The point of a .use() function is because we don't always have the
information we need to use a feature check, so we allow creating the
feature and then storing it for later use. When implementing location
checks, although it is optional, actually using it violated that design.
Move the location out of the init method for FeatureCheck itself. It
remains compatible with all cases of .single_use(), but fix the rest up.
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I am not sure why it ever got added. It looks superficially similar to
FeatureCheck itself, but doesn't need to.
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Use a derived type when passing `subproject` around, so that mypy knows
it's actually a SubProject, not a str. This means that passing anything
other than a handle to the interpreter state's subproject attribute
becomes a type violation, specifically when the order of the *four*
different str arguments is typoed.
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In some cases, init variables that accept None as a sentinel and
immediately overwrite with [], are migrated to dataclass field
factories. \o/
Note: dataclasses by default cannot provide eq methods, as they then
become unhashable. In the future we may wish to opt into declaring them
frozen, instead/additionally.
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This allows these two arguments to take a tuple of (version, message),
where the message will be passed to Feature*'s message parameter
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For passing an extra message to Feature*
This allows providing a more detailed message.
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Which shouldn't be Dict[str, str], they should be Dict[_T, str], as nay
value that can be passed to types is valid here.
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FeatureCheck always immediately sets extra_message to '' if it isn't
explicitly passed, so there is really no point in using None as a
sentinel that is never used.
Names used in init functions are sometimes pointlessly different from
the class instance attributes they are immediately assigned to. They
would make more sense if defined properly.
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Python uses this syntax now, as does typescript and other languages
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Currently, if you pass a `[]string`, but the argument expects
`[]number`, then you get a message like `expected list[str] but got
list`. That isn't helpful. With this patch arrays and dictionaries will
both print messages with the types provided.
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The inner closure of the typed_kwargs function is already complicated
enough without defining closures in the middle of a loop. Let's just
pass the types_tuple as an argument to both avoid redefining the
function over and over, and also make the whole thing easier to read.
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Since these aren't warnings, per se, we don't note every single call
site that has one. And we raise mlog.notice in non-fatal mode to avoid
either:
- being too threatening
- making builds fail with --fatal-meson-warnings
Nevertheless, it is useful to give people a heads-up that there is an
upgrade opportunity, rather than waiting until they upgrade and then
causing projects to begin printing fatal warnings.
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mlog can already print location info, and we use this often -- including
for custom feature warnings already. Make this work everywhere, so that
it is feasible to move such custom warnings to globally tracked
Features.
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As we now require python 3.6, we can declare their types without
initializing them.
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This reverts commit 6cc1b8441c0cf7428e52bdf1cd541ea830a4eb83.
The latest version of pyflakes learned to detect that correctly.
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info.types could be a tuple like (str, ContainerTypeInfo()). That means
we have to check types one by one and only print error if none of them
matched.
Also fix the case when default value is None for a container type, it
should leave the value to None to be able to distinguish between unset
and empty list.
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This is the final refactoring for extracting the bultin object
logic out of Interpreterbase. I decided to do both arrays and
dicts in one go since splitting it would have been a lot more
confusing.
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discovered via flake8 --select E303
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I've used any because it needs to be infinitely recursive, something
that we simply can't model. But basically until it goes into validator
we have no way of knowing what's going on, since one can write code
like:
```python
KwargInfo[str]('arg', object, validator=_some_very_complex_logic_to_get_specific_string)
```
As such, we can't assume that validator is receiving a type _T, it could
be anything.
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Another commit in my quest to rid InterpreterBase from all higher
level object processing logic.
Additionally, there is a a logic change here, since `str.join` now
uses varargs and can now accept more than one argument (and supports
list flattening).
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Since it cannot resolve `import typing as T` in order to figure out that
T.* is doing annotation-worthy stuff.
Since T.cast('Foo') is not actually using Foo except in an annotation
context (due to being a string) it requires extra work to resolve, and
the only thing that would currently work is actually using
'typing.cast'. However, we have decided to not use it except as T...
Since this import is only imported during mypy it's not so bad to noqa
it.
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These operators don't make sens to use in ObjectHolders, since
this mechanism wouldn't allow for lazy evaluation.
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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.
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Because currently you can write something like:
```python
KwargInfo('capture', bool)
```
Which proclaims "this must be bool", but the default is then not valid.
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Follow-up on commit 5a7b8d86d0c455680096d47cb87f0de08c0954ac
Sometimes, we find a parent meson.build which is also malformed, and we
shouldn't suggest that maybe the user meant to use that, if it isn't a
valid project() either. Do a rough and dirty check to see if the very
first line is a project() declaration, and if not, don't try to be
clever and suggest using it.
The "invalid source tree" error suffices here, since we're not
absolutely sure meson can be successfully run in that parent directory
and actually advising people about the wrong location is a lot more
confusing than just saying "please figure this out yourself, here is
what to look for".
Granted, we miss cases where project() comes after blank lines and/or
comments, but doing a full AST parse here is excessively overkill and
probably too painful to do, and we don't need to be *that* clever. So
let's be content with merely going above and beyond the call of duty.
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Explicitly mention that the project definition is invalid, and clarify
that project is `project()` -- a function.
Also try to walk the directory tree upward, and if there are parent
meson.build files, just say this isn't the project root, and "maybe you
meant to run meson there instead?"
This won't catch calls to subdir('foo/bar') but we can't be perfect,
only better than before and catch the *majority* of such cases, and
hopefully it's a lot more clear if meson protests that the project is
"invalid, there is no project() function", where the user should look
for a potential solution.
Fixes #3426
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This assert causes several type checkers (both mypy and pyright) to
force `obj` to be a base `HoldableObject` instead of the specialized
object. Since the check itself may still be valuable as we don't have
fully type annotation coverage it's simply been removed when type
checking to aid in type specialization.
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