Make Hash importable again from persistent_dict

pytools/__init__.py

@@ -29,6 +29,7 @@
 
 import builtins
 import contextlib
+import dataclasses
 import logging
 import operator
 import re
@@ -3023,7 +3024,7 @@ def unique_union(*args: Iterable[T]) -> Collection[T]:
 # }}}
 
 
-@dataclass_transform(frozen_default=True)
+@dataclass_transform(frozen_default=True, field_specifiers=(dataclasses.field,))
 def opt_frozen_dataclass(
             *,
             init: bool = True,

pytools/persistent_dict.py

@@ -38,14 +38,12 @@
 from collections.abc import Callable, Iterator, Mapping
 from dataclasses import fields as dc_fields, is_dataclass
 from enum import Enum
-from typing import TYPE_CHECKING, Any, TypeVar, cast
+from typing import Any, TypeVar, cast
 from warnings import warn
 
 from siphash24 import siphash13
 
-
-if TYPE_CHECKING:
-    from pytools import Hash
+from pytools import Hash  # noqa: TC001 # Some places are importing it from here.
 
 
 class RecommendedHashNotFoundWarning(UserWarning):
@@ -264,7 +262,7 @@
         import math
         if math.isnan(key):
             # Also applies to np.nan, float("nan")
             warn("Encountered a NaN while hashing. Since NaNs compare unequal "
                  "to themselves, the resulting key can not be retrieved from a "
                  "PersistentDict and will lead to a collision error on retrieval.",
                  stacklevel=1)

pytools/tag.py

@@ -26,7 +26,7 @@
 from __future__ import annotations
 
 from collections.abc import Iterable
-from dataclasses import dataclass
+from dataclasses import dataclass, field
 from typing import TYPE_CHECKING, Any, TypeVar
 from warnings import warn
 
@@ -118,7 +118,7 @@ def __eq__(self, other: object) -> bool:
 T = TypeVar("T")
 
 
-@dataclass_transform(eq_default=True, frozen_default=True)
+@dataclass_transform(eq_default=True, frozen_default=True, field_specifiers=(field,))
 def tag_dataclass(cls: type[T]) -> type[T]:
     return dataclass(init=True, frozen=True, eq=True, repr=True)(cls)