This detects cases where module A imports a function from B, and C
imports that same function from A instead of B. It's not part of the API
contract of A, and causes innocent refactoring to break things.
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.
T.Sequence is a questionable concept. The idea is to hammer out generic,
maximally forgiving APIs that operate on protocols, which is a fancy way
of saying "I don't care if you use tuples or lists". This is rarely
needed, actually, and in exchange for this fancy behavior you get free
bugs.
Specifically, `somestr` is of type `T.Sequence[str]`, and also
`somestr[0]` is another string of type you guessed it. It's ~~turtles~~
strings all the way down.
It's worth noting that trying to code for "protocols" is a broken
concept if the contents have semantic meaning, e.g. it operates on
"the install tags of this object" rather than "an iterable that supports
efficient element access".
The other way to use T.Sequence is "I don't like that T.List is
invariant, but also I don't like that T.Tuple makes you specify exact
ordering". This sort of works. In fact it probably does work as long as
you don't allow str in your sequences, which of course everyone allows
anyway.
Use of Sequence has cute side effects, such as actually passing lists
around, knowing that you are going to get a list and knowing that you
need to pass it on as a list, and then having to re-allocate as
`list(mylist)` "because the type annotations says it could be a str or
tuple".
Except it cannot be a str, because if it is then the application is
fatally flawed and logic errors occur to disastrous end user effects,
and the type annotations:
- do not enforce their promises of annotating types
- fail to live up to "minimal runtime penalties" due to all the `list()`
Shun this broken concept, by hardening the type annotations. As it turns
out, we do not actually need any of this covariance or protocol-ism for
a list of strings! The whole attempt was a slow, buggy waste of time.
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 :)
Add a MissingCompiler class returned by compiler detecting methods
intead of None - accessing such an object raises a DependencyException
Fixes#10586
Co-authored-by: duckflyer <duckflyer@gmail.com>
D lang compilers have an option -release (or similar) which turns off
asserts, contracts, and other runtime type checking. This patch wires
that up to the b_ndebug flag.
Fixes#7082
This makes use of proper ConfigTool and PkgConfig dependencies rather
than one big ExternalDependency that internally creates other
dependencies and then copies their attributes.
Currently PkgConfig takes language as a keyword parameter in position 3,
while the others take it as positional in position 2. Because most
dependencies don't actually set a language (they use C style linking),
using a positional argument makes more sense. ExtraFrameworkDependencies
is even more different, and duplicates some arguments from the base
ExternalDependency class.
For later changes I'm planning to make having all of the dependencies
use the same signature is really, really helpful.
Eli Schwartz
Dylan Baker
SmallWood-D
Daniel Mensinger
Michael Hirsch, Ph.D