remaining typing upgrades

Author: Zac-HD

hypothesis-python/RELEASE.rst

@@ -0,0 +1,3 @@
+RELEASE_TYPE: patch
+
+This patch upgrades remaining type annotations to Python 3.9 syntax.

hypothesis-python/src/_hypothesis_ftz_detector.py

@@ -18,13 +18,13 @@
 
 import importlib
 import sys
-from typing import TYPE_CHECKING, Callable, Optional, Set, Tuple
+from typing import TYPE_CHECKING, Callable, Optional
 
 if TYPE_CHECKING:
     from multiprocessing import Queue
     from typing import TypeAlias
 
-FTZCulprits: "TypeAlias" = Tuple[Optional[bool], Set[str]]
+FTZCulprits: "TypeAlias" = tuple[Optional[bool], set[str]]
 
 
 KNOWN_EVER_CULPRITS = (
@@ -104,7 +104,7 @@ def identify_ftz_culprits() -> str:
     # that importing them in a new process sets the FTZ state.  As a heuristic, we'll
     # start with packages known to have ever enabled FTZ, then top-level packages as
     # a way to eliminate large fractions of the search space relatively quickly.
-    def key(name: str) -> Tuple[bool, int, str]:
+    def key(name: str) -> tuple[bool, int, str]:
         """Prefer known-FTZ modules, then top-level packages, then alphabetical."""
         return (name not in KNOWN_EVER_CULPRITS, name.count("."), name)
 

hypothesis-python/src/hypothesis/_settings.py

@@ -19,18 +19,9 @@
 import inspect
 import os
 import warnings
+from collections.abc import Collection
 from enum import Enum, EnumMeta, IntEnum, unique
-from typing import (
-    TYPE_CHECKING,
-    Any,
-    ClassVar,
-    Collection,
-    Dict,
-    List,
-    Optional,
-    TypeVar,
-    Union,
-)
+from typing import TYPE_CHECKING, Any, ClassVar, Optional, TypeVar, Union
 
 import attr
 
@@ -49,7 +40,7 @@
 
 __all__ = ["settings"]
 
-all_settings: Dict[str, "Setting"] = {}
+all_settings: dict[str, "Setting"] = {}
 
 T = TypeVar("T")
 
@@ -138,7 +129,7 @@ class settings(metaclass=settingsMeta):
     """
 
     __definitions_are_locked = False
-    _profiles: ClassVar[Dict[str, "settings"]] = {}
+    _profiles: ClassVar[dict[str, "settings"]] = {}
     __module__ = "hypothesis"
 
     def __getattr__(self, name):
@@ -479,7 +470,7 @@ def __repr__(self):
         return f"{self.__class__.__name__}.{self.name}"
 
     @classmethod
-    def all(cls) -> List["HealthCheck"]:
+    def all(cls) -> list["HealthCheck"]:
         # Skipping of deprecated attributes is handled in HealthCheckMeta.__iter__
         note_deprecation(
             "`HealthCheck.all()` is deprecated; use `list(HealthCheck)` instead.",

hypothesis-python/src/hypothesis/database.py

@@ -14,12 +14,13 @@
 import os
 import sys
 import warnings
+from collections.abc import Iterable
 from datetime import datetime, timedelta, timezone
 from functools import lru_cache
 from hashlib import sha384
 from os import getenv
 from pathlib import Path, PurePath
-from typing import Dict, Iterable, Optional, Set
+from typing import Optional
 from urllib.error import HTTPError, URLError
 from urllib.request import Request, urlopen
 from zipfile import BadZipFile, ZipFile
@@ -195,7 +196,7 @@ class DirectoryBasedExampleDatabase(ExampleDatabase):
 
     def __init__(self, path: os.PathLike) -> None:
         self.path = Path(path)
-        self.keypaths: Dict[bytes, Path] = {}
+        self.keypaths: dict[bytes, Path] = {}
 
     def __repr__(self) -> str:
         return f"DirectoryBasedExampleDatabase({self.path!r})"
@@ -444,7 +445,7 @@ def __init__(
         # .hypothesis/github-artifacts/<artifact-name>/<modified_isoformat>.zip
         self._artifact: Optional[Path] = None
         # This caches the artifact structure
-        self._access_cache: Optional[Dict[PurePath, Set[PurePath]]] = None
+        self._access_cache: Optional[dict[PurePath, set[PurePath]]] = None
 
         # Message to display if user doesn't wrap around ReadOnlyDatabase
         self._read_only_message = (

hypothesis-python/src/hypothesis/extra/_array_helpers.py

@@ -9,7 +9,7 @@
 # obtain one at https://mozilla.org/MPL/2.0/.
 
 import re
-from typing import NamedTuple, Optional, Tuple, Union
+from typing import NamedTuple, Optional, Union
 
 from hypothesis import assume, strategies as st
 from hypothesis.errors import InvalidArgument
@@ -36,13 +36,13 @@
 ]
 
 
-Shape = Tuple[int, ...]
+Shape = tuple[int, ...]
 # We silence flake8 here because it disagrees with mypy about `ellipsis` (`type(...)`)
-BasicIndex = Tuple[Union[int, slice, None, "ellipsis"], ...]  # noqa: F821
+BasicIndex = tuple[Union[int, slice, None, "ellipsis"], ...]  # noqa: F821
 
 
 class BroadcastableShapes(NamedTuple):
-    input_shapes: Tuple[Shape, ...]
+    input_shapes: tuple[Shape, ...]
     result_shape: Shape
 
 
@@ -121,7 +121,7 @@ def valid_tuple_axes(
     *,
     min_size: int = 0,
     max_size: Optional[int] = None,
-) -> st.SearchStrategy[Tuple[int, ...]]:
+) -> st.SearchStrategy[tuple[int, ...]]:
     """All tuples will have a length >= ``min_size`` and <= ``max_size``. The default
     value for ``max_size`` is ``ndim``.
 
@@ -282,7 +282,7 @@ def broadcastable_shapes(
 
 
 class _GUfuncSig(NamedTuple):
-    input_shapes: Tuple[Shape, ...]
+    input_shapes: tuple[Shape, ...]
     result_shape: Shape
 
 

hypothesis-python/src/hypothesis/extra/array_api.py

@@ -10,21 +10,15 @@
 
 import math
 import sys
+from collections.abc import Iterable, Iterator, Mapping, Sequence
 from numbers import Real
 from types import SimpleNamespace
 from typing import (
     TYPE_CHECKING,
     Any,
-    Iterable,
-    Iterator,
-    List,
     Literal,
-    Mapping,
     NamedTuple,
     Optional,
-    Sequence,
-    Tuple,
-    Type,
     TypeVar,
     Union,
     get_args,
@@ -89,7 +83,7 @@
 
 
 @check_function
-def check_xp_attributes(xp: Any, attributes: List[str]) -> None:
+def check_xp_attributes(xp: Any, attributes: list[str]) -> None:
     missing_attrs = [attr for attr in attributes if not hasattr(xp, attr)]
     if len(missing_attrs) > 0:
         f_attrs = ", ".join(missing_attrs)
@@ -100,7 +94,7 @@ def check_xp_attributes(xp: Any, attributes: List[str]) -> None:
 
 def partition_attributes_and_stubs(
     xp: Any, attributes: Iterable[str]
-) -> Tuple[List[Any], List[str]]:
+) -> tuple[list[Any], list[str]]:
     non_stubs = []
     stubs = []
     for attr in attributes:
@@ -112,7 +106,7 @@ def partition_attributes_and_stubs(
     return non_stubs, stubs
 
 
-def warn_on_missing_dtypes(xp: Any, stubs: List[str]) -> None:
+def warn_on_missing_dtypes(xp: Any, stubs: list[str]) -> None:
     f_stubs = ", ".join(stubs)
     warn(
         f"Array module {xp.__name__} does not have the following "
@@ -124,7 +118,7 @@ def warn_on_missing_dtypes(xp: Any, stubs: List[str]) -> None:
 
 def find_castable_builtin_for_dtype(
     xp: Any, api_version: NominalVersion, dtype: DataType
-) -> Type[Union[bool, int, float, complex]]:
+) -> type[Union[bool, int, float, complex]]:
     """Returns builtin type which can have values that are castable to the given
     dtype, according to :xp-ref:`type promotion rules <type_promotion.html>`.
 
@@ -591,7 +585,7 @@ def _arrays(
 
 
 @check_function
-def check_dtypes(xp: Any, dtypes: List[DataType], stubs: List[str]) -> None:
+def check_dtypes(xp: Any, dtypes: list[DataType], stubs: list[str]) -> None:
     if len(dtypes) == 0:
         assert len(stubs) > 0, "No dtypes passed but stubs is empty"
         f_stubs = ", ".join(stubs)

hypothesis-python/src/hypothesis/extra/codemods.py

@@ -48,7 +48,7 @@
 import functools
 import importlib
 from inspect import Parameter, signature
-from typing import ClassVar, List
+from typing import ClassVar
 
 import libcst as cst
 import libcst.matchers as m
@@ -65,7 +65,7 @@ def refactor(code: str) -> str:
     """
     context = cst.codemod.CodemodContext()
     mod = cst.parse_module(code)
-    transforms: List[VisitorBasedCodemodCommand] = [
+    transforms: list[VisitorBasedCodemodCommand] = [
         HypothesisFixPositionalKeywonlyArgs(context),
         HypothesisFixComplexMinMagnitude(context),
         HypothesisFixHealthCheckAll(context),

hypothesis-python/src/hypothesis/extra/django/_fields.py

@@ -13,7 +13,7 @@
 from datetime import datetime, timedelta
 from decimal import Decimal
 from functools import lru_cache
-from typing import Any, Callable, Dict, Type, TypeVar, Union
+from typing import Any, Callable, TypeVar, Union
 
 import django
 from django import forms as df
@@ -68,8 +68,8 @@ def timezones():
 
 
 # Mapping of field types, to strategy objects or functions of (type) -> strategy
-_FieldLookUpType = Dict[
-    Type[AnyField],
+_FieldLookUpType = dict[
+    type[AnyField],
     Union[st.SearchStrategy, Callable[[Any], st.SearchStrategy]],
 ]
 _global_field_lookup: _FieldLookUpType = {
@@ -319,7 +319,7 @@ def _for_model_multiple_choice(field):
 
 
 def register_field_strategy(
-    field_type: Type[AnyField], strategy: st.SearchStrategy
+    field_type: type[AnyField], strategy: st.SearchStrategy
 ) -> None:
     """Add an entry to the global field-to-strategy lookup used by
     :func:`~hypothesis.extra.django.from_field`.

hypothesis-python/src/hypothesis/extra/django/_impl.py

@@ -11,7 +11,7 @@
 import sys
 import unittest
 from functools import partial
-from typing import TYPE_CHECKING, Optional, Type, TypeVar, Union
+from typing import TYPE_CHECKING, Optional, TypeVar, Union
 
 from django import forms as df, test as dt
 from django.contrib.staticfiles import testing as dst
@@ -66,7 +66,7 @@ class StaticLiveServerTestCase(HypothesisTestCase, dst.StaticLiveServerTestCase)
 
 @defines_strategy()
 def from_model(
-    model: Type[ModelT], /, **field_strategies: Union[st.SearchStrategy, EllipsisType]
+    model: type[ModelT], /, **field_strategies: Union[st.SearchStrategy, EllipsisType]
 ) -> st.SearchStrategy[ModelT]:
     """Return a strategy for examples of ``model``.
 
@@ -136,7 +136,7 @@ def _models_impl(draw, strat):
 
 @defines_strategy()
 def from_form(
-    form: Type[df.Form],
+    form: type[df.Form],
     form_kwargs: Optional[dict] = None,
     **field_strategies: Union[st.SearchStrategy, EllipsisType],
 ) -> st.SearchStrategy[df.Form]:

hypothesis-python/src/hypothesis/extra/lark.py

@@ -25,7 +25,7 @@
 """
 
 from inspect import signature
-from typing import Dict, Optional
+from typing import Optional
 
 import lark
 from lark.grammar import NonTerminal, Terminal
@@ -201,7 +201,7 @@ def from_lark(
     grammar: lark.lark.Lark,
     *,
     start: Optional[str] = None,
-    explicit: Optional[Dict[str, st.SearchStrategy[str]]] = None,
+    explicit: Optional[dict[str, st.SearchStrategy[str]]] = None,
     alphabet: st.SearchStrategy[str] = st.characters(codec="utf-8"),
 ) -> st.SearchStrategy[str]:
     """A strategy for strings accepted by the given context-free grammar.

hypothesis-python/src/hypothesis/extra/numpy.py

@@ -11,20 +11,8 @@
 import importlib
 import math
 import types
-from typing import (
-    TYPE_CHECKING,
-    Any,
-    Literal,
-    Mapping,
-    Optional,
-    Sequence,
-    Tuple,
-    Type,
-    TypeVar,
-    Union,
-    cast,
-    overload,
-)
+from collections.abc import Mapping, Sequence
+from typing import TYPE_CHECKING, Any, Literal, Optional, TypeVar, Union, cast, overload
 
 import numpy as np
 
@@ -1190,7 +1178,7 @@ def integer_array_indices(
     shape: Shape,
     *,
     result_shape: st.SearchStrategy[Shape] = array_shapes(),
-) -> "st.SearchStrategy[Tuple[NDArray[np.signedinteger[Any]], ...]]": ...
+) -> "st.SearchStrategy[tuple[NDArray[np.signedinteger[Any]], ...]]": ...
 
 
 @overload
@@ -1200,7 +1188,7 @@ def integer_array_indices(
     *,
     result_shape: st.SearchStrategy[Shape] = array_shapes(),
     dtype: "np.dtype[I]",
-) -> "st.SearchStrategy[Tuple[NDArray[I], ...]]": ...
+) -> "st.SearchStrategy[tuple[NDArray[I], ...]]": ...
 
 
 @defines_strategy()
@@ -1209,7 +1197,7 @@ def integer_array_indices(
     *,
     result_shape: st.SearchStrategy[Shape] = array_shapes(),
     dtype: "np.dtype[I] | np.dtype[np.signedinteger[Any]]" = np.dtype(int),
-) -> "st.SearchStrategy[Tuple[NDArray[I], ...]]":
+) -> "st.SearchStrategy[tuple[NDArray[I], ...]]":
     """Return a search strategy for tuples of integer-arrays that, when used
     to index into an array of shape ``shape``, given an array whose shape
     was drawn from ``result_shape``.
@@ -1314,7 +1302,7 @@ def _dtype_from_args(args):
     return np.dtype(dtype)
 
 
-def _from_type(thing: Type[Ex]) -> Optional[st.SearchStrategy[Ex]]:
+def _from_type(thing: type[Ex]) -> Optional[st.SearchStrategy[Ex]]:
     """Called by st.from_type to try to infer a strategy for thing using numpy.
 
     If we can infer a numpy-specific strategy for thing, we return that; otherwise,