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- Remove upstreamed mypy-1.14.1-gcc15.patch

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- Update to 1.16.0:
    Different Property Getter and Setter Types
    Mypy now supports using different types for a property getter and setter:
    class A:
        _value: int
        @property
        def foo(self) -> int:
            return self._value
        @foo.setter
        def foo(self, x: str | int) -> None:
            try:
                self._value = int(x)
            except ValueError:
                raise Exception(f"'{x}' is not a valid value for 'foo'")
    This was contributed by Ivan Levkivskyi (PR 18510).
    Flexible Variable Redefinitions (Experimental)
    Mypy now allows unannotated variables to be freely redefined
    with different types when using the experimental
    --allow-redefinition-new flag. You will also need to enable
    --local-partial-types. Mypy will now infer a union type when
    different types are assigned to a variable:
    # mypy: allow-redefinition-new, local-partial-types
    def f(n: int, b: bool) -> int | str:
        if b:
            x = n
        else:
            x = str(n)
        # Type of 'x' is int | str here.
        return x

OBS-URL: https://build.opensuse.org/package/show/devel:languages:python/python-mypy?expand=0&rev=33
This commit is contained in:
Matej Cepl
2025-05-29 15:32:58 +00:00
committed by Git OBS Bridge
parent 3c949c1f52
commit 593e67b14f
5 changed files with 254 additions and 44 deletions
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@@ -1,3 +1,253 @@
-------------------------------------------------------------------
Thu May 29 15:25:57 UTC 2025 - Matej Cepl <mcepl@cepl.eu>
- Remove upstreamed mypy-1.14.1-gcc15.patch
- Update to 1.16.0:
Different Property Getter and Setter Types
Mypy now supports using different types for a property getter and setter:
class A:
_value: int
@property
def foo(self) -> int:
return self._value
@foo.setter
def foo(self, x: str | int) -> None:
try:
self._value = int(x)
except ValueError:
raise Exception(f"'{x}' is not a valid value for 'foo'")
This was contributed by Ivan Levkivskyi (PR 18510).
Flexible Variable Redefinitions (Experimental)
Mypy now allows unannotated variables to be freely redefined
with different types when using the experimental
--allow-redefinition-new flag. You will also need to enable
--local-partial-types. Mypy will now infer a union type when
different types are assigned to a variable:
# mypy: allow-redefinition-new, local-partial-types
def f(n: int, b: bool) -> int | str:
if b:
x = n
else:
x = str(n)
# Type of 'x' is int | str here.
return x
Without the new flag, mypy only supports inferring optional
types (X | None) from multiple assignments, but now mypy can
infer arbitrary union types.
An unannotated variable can now also have different types in
different code locations:
# mypy: allow-redefinition-new, local-partial-types
...
if cond():
for x in range(n):
# Type of 'x' is 'int' here
...
else:
for x in ['a', 'b']:
# Type of 'x' is 'str' here
...
We are planning to turn this flag on by default in mypy 2.0,
along with --local-partial-types. The feature is still
experimental and has known issues, and the semantics may
still change in the future. You may need to update or add
type annotations when switching to the new behavior, but if
you encounter anything unexpected, please create a GitHub
issue.
This was contributed by Jukka Lehtosalo (PR 18727, PR 19153).
Stricter Type Checking with Imprecise Types
Mypy can now detect additional errors in code that uses Any
types or has missing function annotations.
When calling dict.get(x, None) on an object of type dict[str,
Any], this now results in an optional type (in the past it
was Any):
def f(d: dict[str, Any]) -> int:
# Error: Return value has type "Any | None" but expected "int"
return d.get("x", None)
Type narrowing using assignments can result in more precise
types in the presence of Any types:
def foo(): ...
def bar(n: int) -> None:
x = foo()
# Type of 'x' is 'Any' here
if n > 5:
x = str(n)
# Type of 'x' is 'str' here
When using --check-untyped-defs, unannotated overrides are
now checked more strictly against superclass definitions.
Related PRs:
Use union types instead of join in binder (Ivan Levkivskyi, PR 18538)
Check superclass compatibility of untyped methods if
--check-untyped-defs is set (Stanislav Terliakov, PR
18970)
Improvements to Attribute Resolution
This release includes several fixes to inconsistent
resolution of attribute, method and descriptor types.
Consolidate descriptor handling (Ivan Levkivskyi, PR 18831)
Make multiple inheritance checking use common semantics (Ivan Levkivskyi, PR 18876)
Make method override checking use common semantics (Ivan Levkivskyi, PR 18870)
Fix descriptor overload selection (Ivan Levkivskyi, PR 18868)
Handle union types when binding self (Ivan Levkivskyi, PR 18867)
Make variable override checking use common semantics (Ivan Levkivskyi, PR 18847)
Make descriptor handling behave consistently (Ivan Levkivskyi, PR 18831)
Make Implementation for Abstract Overloads Optional
The implementation can now be omitted for abstract overloaded methods, even outside stubs:
from abc import abstractmethod
from typing import overload
class C:
@abstractmethod
@overload
def foo(self, x: int) -> int: ...
@abstractmethod
@overload
def foo(self, x: str) -> str: ...
# No implementation required for "foo"
This was contributed by Ivan Levkivskyi (PR 18882).
Option to Exclude Everything in .gitignore
You can now use --exclude-gitignore to exclude everything in
a .gitignore file from the mypy build. This behaves similar
to excluding the paths using --exclude. We might enable this
by default in a future mypy release.
This was contributed by Ivan Levkivskyi (PR 18696).
Selectively Disable Deprecated Warnings
It's now possible to selectively disable warnings generated
from warnings.deprecated using the --deprecated-calls-exclude
option:
# mypy --enable-error-code deprecated
# --deprecated-calls-exclude=foo.A
import foo
foo.A().func() # OK, the deprecated warning is ignored
# file foo.py
from typing_extensions import deprecated
class A:
@deprecated("Use A.func2 instead")
def func(self): pass
...
Contributed by Marc Mueller (PR 18641)
Annotating Native/Non-Native Classes in Mypyc
You can now declare a class as a non-native class when
compiling with mypyc. Unlike native classes, which are
extension classes and have an immutable structure, non-native
classes are normal Python classes at runtime and are fully
dynamic. Example:
from mypy_extensions import mypyc_attr
@mypyc_attr(native_class=False)
class NonNativeClass:
...
o = NonNativeClass()
# Ok, even if attribute "foo" not declared in class body
setattr(o, "foo", 1)
Classes are native by default in compiled modules, but
classes that use certain features (such as most metaclasses)
are implicitly non-native.
You can also explicitly declare a class as native. In this
case mypyc will generate an error if it can't compile the
class as a native class, instead of falling back to
a non-native class:
from mypy_extensions import mypyc_attr
from foo import MyMeta
# Error: Unsupported metaclass for a native class
@mypyc_attr(native_class=True)
class C(metaclass=MyMeta):
...
Since native classes are significantly more efficient that
non-native classes, you may want to ensure that certain
classes always compiled as native classes.
- Update to 1.15.0:
By default, mypy treats bytearray and memoryview values as
assignable to the bytes type, for historical reasons. Use the
--strict-bytes flag to disable this behavior. PEP 688
specified the removal of this special case. The flag will be
enabled by default in mypy 2.0.
Contributed by Ali Hamdan (PR 18263) and Shantanu Jain (PR 13952).
Improvements to Reachability Analysis and Partial Type Handling in Loops
This change results in mypy better modelling control flow
within loops and hence detecting several previously ignored
issues. In some cases, this change may require additional
explicit variable annotations.
Contributed by Christoph Tyralla (PR 18180, PR 18433).
(Speaking of partial types, remember that we plan to enable
--local-partial-types by default in mypy 2.0.)
Better Discovery of Configuration Files
Mypy will now walk up the filesystem (up until a repository
or file system root) to discover configuration files. See the
mypy configuration file documentation for more details.
Contributed by Mikhail Shiryaev and Shantanu Jain (PR 16965, PR 18482)
Better Line Numbers for Decorators and Slice Expressions
Mypy now uses more correct line numbers for decorators and
slice expressions. In some cases, you may have to change the
location of a # type: ignore comment.
Contributed by Shantanu Jain (PR 18392, PR 18397).
Drop Support for Python 3.8
Mypy no longer supports running with Python 3.8, which has
reached end-of-life. When running mypy with Python 3.9+, it
is still possible to type check code that needs to support
Python 3.8 with the --python-version 3.8 argument. Support
for this will be dropped in the first half of 2025!
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Mon May 5 13:29:04 UTC 2025 - Friedrich Haubensak <hsk17@mail.de>