Formally drop python 3.8 support

onnxscript/_internal/analysis.py

@@ -3,7 +3,8 @@
 from __future__ import annotations
 
 import ast
-from typing import Any, Optional, Sequence, Set
+from collections.abc import Sequence
+from typing import Any, Optional
 
 from onnxscript import sourceinfo
 from onnxscript._internal import ast_utils
@@ -15,7 +16,7 @@ def _get_loop_var(for_stmt: ast.For, formatter: sourceinfo.Formatter) -> str:
     return for_stmt.target.id
 
 
-def _used_vars(expr: Optional[ast.expr]) -> Set[str]:
+def _used_vars(expr: Optional[ast.expr]) -> set[str]:
     """Return set of all variables used, including function names, in an expression."""
     if expr is None:
         return set()
@@ -35,7 +36,7 @@ def _used_vars(expr: Optional[ast.expr]) -> Set[str]:
     return result
 
 
-def _lhs_vars(lhs: ast.expr) -> Set[str]:
+def _lhs_vars(lhs: ast.expr) -> set[str]:
     """Return set of assigned variables in the lhs of an assignment statement."""
 
     def get_id(e):
@@ -49,12 +50,12 @@ def get_id(e):
 
 def assigned_vars(
     stmt: ast.stmt | list[ast.stmt], formatter: sourceinfo.Formatter
-) -> Set[str]:
+) -> set[str]:
     """Return the set of all variables that may be assigned to in an execution of input stmt
     or sequence of statements.
     """
 
-    def assigned_in_block(block: Sequence[ast.stmt]) -> Set[str]:
+    def assigned_in_block(block: Sequence[ast.stmt]) -> set[str]:
         result: set[Any] = set()
         for s in block:
             result = result | assigned_vars(s, formatter)
@@ -90,14 +91,14 @@ def do_liveness_analysis(fun: ast.FunctionDef, formatter: sourceinfo.Formatter):
     and `s.live_out`.
     """
 
-    def visit(stmt: ast.stmt, live_out: Set[str]) -> Set[str]:
+    def visit(stmt: ast.stmt, live_out: set[str]) -> set[str]:
         stmt.live_out = live_out  # type: ignore[attr-defined]
         live = do_visit(stmt, live_out)
         stmt.live_in = live  # type: ignore[attr-defined]
         return live
 
-    def do_visit(stmt: ast.stmt, live_out: Set[str]) -> Set[str]:
-        def visitBlock(block: Sequence[ast.stmt], live_out: Set[str]) -> Set[str]:
+    def do_visit(stmt: ast.stmt, live_out: set[str]) -> set[str]:
+        def visitBlock(block: Sequence[ast.stmt], live_out: set[str]) -> set[str]:
             for s in reversed(block):
                 live_out = visit(s, live_out)
             return live_out
@@ -165,12 +166,12 @@ def exposed_uses(stmts: Sequence[ast.stmt], formatter: sourceinfo.Formatter):
     (in the first statement). Hence x is included in the exposed_uses.
     """
 
-    def visitBlock(block: Sequence[ast.stmt], live_out: Set[str]) -> Set[str]:
+    def visitBlock(block: Sequence[ast.stmt], live_out: set[str]) -> set[str]:
         for stmt in reversed(block):
             live_out = visit(stmt, live_out)
         return live_out
 
-    def visit(stmt: ast.stmt, live_out: Set[str]) -> Set[str]:
+    def visit(stmt: ast.stmt, live_out: set[str]) -> set[str]:
         if isinstance(stmt, ast.Assign):
             return live_out.difference(_lhs_vars(stmt.targets[0])) | _used_vars(stmt.value)
         if isinstance(stmt, ast.AnnAssign):

onnxscript/_internal/autocast.py

@@ -3,7 +3,8 @@
 
 from __future__ import annotations
 
-from typing import TYPE_CHECKING, Any, Callable, Optional, Sequence
+from collections.abc import Sequence
+from typing import TYPE_CHECKING, Any, Callable, Optional
 
 import numpy as np
 import onnx

onnxscript/_internal/param_manipulation.py

@@ -5,7 +5,9 @@
 from __future__ import annotations
 
 import collections
-from typing import Any, OrderedDict, Sequence
+from collections import OrderedDict
+from collections.abc import Sequence
+from typing import Any
 
 from onnxscript import values
 

onnxscript/_internal/runtime_typing.py

@@ -22,10 +22,6 @@
 
     checked = typing.cast(typing.Callable[[T], T], _beartype_decorator)
 
-    # Beartype warns when we import from typing because the types are deprecated
-    # in Python 3.9. But there will be a long time until we can move to using
-    # the native container types for type annotations (when 3.9 is the lowest
-    # supported version). So we silence the warning.
     warnings.filterwarnings(
         "ignore",
         category=_roar.BeartypeDecorHintPep585DeprecationWarning,

onnxscript/_internal/utils.py

@@ -3,7 +3,8 @@
 from __future__ import annotations
 
 import numbers
-from typing import Optional, Sequence
+from collections.abc import Sequence
+from typing import Optional
 
 import numpy as np
 import onnx

onnxscript/_internal/version_utils.py

@@ -5,7 +5,8 @@
 from __future__ import annotations
 
 import warnings
-from typing import Callable, Sequence
+from collections.abc import Sequence
+from typing import Callable
 
 import packaging.version
 

onnxscript/_legacy_ir/__init__.py

@@ -4,7 +4,7 @@
 
 import dataclasses
 from collections import deque
-from typing import List, Tuple, Union
+from typing import Union
 
 import numpy as np
 import onnx
@@ -47,9 +47,9 @@ def __init__(self) -> None:
 # TODO: Technically, SymbolicValue should be a recursive type to handle lists of lists of
 # tensors, etc. However, we currently only handle lists of tensors.
 
-SymbolicValue = Union[str, List[str]]
+SymbolicValue = Union[str, list[str]]
 
-FunctionId = Tuple[str, str, str]
+FunctionId = tuple[str, str, str]
 
 
 def get_function_id(function: onnx.FunctionProto) -> FunctionId:

onnxscript/_legacy_ir/visitor.py

@@ -5,7 +5,8 @@
 
 import dataclasses
 import logging
-from typing import Any, Sequence
+from collections.abc import Sequence
+from typing import Any
 
 import numpy as np
 import onnx

onnxscript/_thirdparty/asciichartpy.py

@@ -32,8 +32,8 @@
 
 from __future__ import annotations
 
+from collections.abc import Mapping
 from math import ceil, floor, isnan
-from typing import Mapping
 
 black = "\033[30m"
 red = "\033[31m"

onnxscript/backend/onnx_backend.py

@@ -4,7 +4,7 @@
 
 import os
 import textwrap
-from typing import Iterator
+from collections.abc import Iterator
 
 import numpy as np
 import onnx

onnxscript/backend/onnx_export.py

@@ -2,7 +2,8 @@
 # Licensed under the MIT License.
 from __future__ import annotations
 
-from typing import Any, Optional, Sequence
+from collections.abc import Sequence
+from typing import Any, Optional
 
 import numpy
 import onnx

onnxscript/backend/onnx_export_test.py

@@ -9,7 +9,7 @@
 import re
 import sys
 import unittest
-from typing import Pattern
+from re import Pattern
 
 import onnx
 import onnxruntime as ort

onnxscript/converter.py

@@ -4,15 +4,12 @@
 
 import ast
 import logging
+from collections.abc import Sequence
 from typing import (
     TYPE_CHECKING,
     Any,
-    Dict,
-    List,
     NoReturn,
     Optional,
-    Sequence,
-    Tuple,
     Union,
 )
 
@@ -178,11 +175,11 @@ def __init__(
         self.default_opset_ = default_opset
 
         # States initialized by `_init_function_translation`
-        self._outer: List[irbuilder.IRFunction] = []
+        self._outer: list[irbuilder.IRFunction] = []
         self._current_fn: irbuilder.IRFunction = None
         self._nextvar: int = 0
         self._used_vars: set[str] = set()
-        self._locals: List[Dict[str, LocalSymValue]] = [{}]
+        self._locals: list[dict[str, LocalSymValue]] = [{}]
 
     @property
     def default_opset(self) -> values.Opset:
@@ -230,7 +227,7 @@ def _init_function_translation(self) -> None:
         self._current_fn: Optional[irbuilder.IRFunction] = None
         self._nextvar = 0
         self._used_vars = set()
-        self._locals: List[Dict[str, LocalSymValue]] = [{}]
+        self._locals: list[dict[str, LocalSymValue]] = [{}]
 
     def _source_of(self, node: ast.AST) -> sourceinfo.SourceInfo:
         return sourceinfo.SourceInfo(node, self.source, self._current_fn.name)
@@ -269,7 +266,7 @@ def _exit_scope(self) -> irbuilder.IRFunction:
         self._locals.pop(0)
         return graph
 
-    def _current_scope(self) -> Dict[str, LocalSymValue]:
+    def _current_scope(self) -> dict[str, LocalSymValue]:
         return self._locals[0]
 
     def _bind(self, name: str, val: LocalSymValue) -> None:
@@ -528,12 +525,7 @@ def _translate_attr(
         return attr
 
     def _translate_docstring(self, node: ast.Expr) -> None:
-        if hasattr(node.value, "value"):
-            # python 3.8+
-            return self.ir_builder.add_docstring(self._current_fn, node.value.value)
-        raise TypeError(
-            f"Unexpected type {type(node)!r} for node. Unsupoorted version of python."
-        )
+        return self.ir_builder.add_docstring(self._current_fn, node.value.value)
 
     def _translate_expr(
         self, node: ast.AST, target: Optional[PreferredName] = None
@@ -697,9 +689,9 @@ def translate_slice(slice_expr: ast.Slice) -> tuple[str, str, str]:
 
         # As the first step, we partition the index elements into four kinds: Slice (eg., 1:5:2),
         # known-to-be-scalar (eg., 2), other-tensor (eg., I), skip/no-op (that is, just ":")
-        sliced_indices: List[Tuple[int, ast.expr]] = []
-        scalar_indices: List[Tuple[int, ast.expr]] = []
-        non_scalar_indices: List[Tuple[int, ast.expr]] = []
+        sliced_indices: list[tuple[int, ast.expr]] = []
+        scalar_indices: list[tuple[int, ast.expr]] = []
+        non_scalar_indices: list[tuple[int, ast.expr]] = []
         for axis, elt in enumerate(indices):
             if isinstance(elt, ast.Slice):
                 # Add to sliced_indices, unless it is "::", which is a no-op.
@@ -870,14 +862,7 @@ def _translate_unary_op_expr(self, node):
             # should intercept this call and replace node
             # by node.operand.
             # This mechanism does not handle somthing like `(-(-5))`.
-            if hasattr(node.operand, "value"):
-                # python 3.8+
-                val = node.operand.value
-            else:
-                raise TypeError(
-                    f"Unable to guess constant value from type {type(node.operand)!r} "
-                    f"and attributes {dir(node.operand)!r}."
-                )
+            val = node.operand.value
             if op == ast.USub:
                 cst = ast.Constant(-val, lineno=node.lineno, col_offset=node.col_offset)
                 return self._translate_expr(cst)

onnxscript/evaluator.py

@@ -5,13 +5,12 @@
 import abc
 import contextlib
 import pprint
+from collections.abc import Mapping, Sequence
 from typing import (
     Any,
     Callable,
-    Mapping,
     Optional,
     Protocol,
-    Sequence,
     TypeVar,
     Union,
     runtime_checkable,

onnxscript/function_libs/tools/torch_lib/deduce_type_constraints.py

@@ -5,7 +5,8 @@
 import copy
 import dataclasses
 import logging
-from typing import Dict, Mapping, Optional, Sequence, Set
+from collections.abc import Mapping, Sequence
+from typing import Optional
 
 import onnx
 import onnx.defs
@@ -47,10 +48,10 @@ class TypeConstraint:
     """Type constraint shared by multiple values."""
 
     name: str
-    type_strs: Set[str]
-    values: Set[Value]
+    type_strs: set[str]
+    values: set[Value]
 
-    def __init__(self, name: str, type_strs: Set[str]):
+    def __init__(self, name: str, type_strs: set[str]):
         self.name = name
         self.type_strs = type_strs
         self.values = set()
@@ -125,9 +126,9 @@ def __repr__(self) -> str:
 
 @dataclasses.dataclass
 class OnnxFunctionTypeConstraints:
-    input_type_constraints: Dict[str, Optional[TypeConstraint]]
-    output_type_constraints: Dict[str, Optional[TypeConstraint]]
-    intermediate_type_constraints: Dict[str, Optional[TypeConstraint]]
+    input_type_constraints: dict[str, Optional[TypeConstraint]]
+    output_type_constraints: dict[str, Optional[TypeConstraint]]
+    intermediate_type_constraints: dict[str, Optional[TypeConstraint]]
 
     def __repr__(self):
         repr_strs = [
@@ -190,7 +191,7 @@ def __repr__(self):
 class TypeConstraintDeducer:
     def __init__(self, onnx_function: onnxscript.OnnxFunction):
         self.onnx_function = onnx_function
-        self.values: Dict[str, Value] = {}
+        self.values: dict[str, Value] = {}
 
     def type_constraints(self, signature_only: bool = True) -> OnnxFunctionTypeConstraints:
         """Retrieve deduced type constraints for the ONNX function."""
@@ -210,7 +211,7 @@ def type_constraints(self, signature_only: bool = True) -> OnnxFunctionTypeConst
         )
 
         # Rename type constraints to T0, T1, T2, ...
-        seen_type_constraints: Set[TypeConstraint] = set()
+        seen_type_constraints: set[TypeConstraint] = set()
         for type_constraint in (
             *input_type_constraints.values(),
             *output_type_constraints.values(),
@@ -250,7 +251,7 @@ def _bind_signature(
         node: onnx.NodeProto,
         param_names: Sequence[str],
         param_schemas: Sequence[onnx.defs.OpSchema.FormalParameter],
-        op_type_constraints: Dict[str, TypeConstraint],
+        op_type_constraints: dict[str, TypeConstraint],
         is_output: bool = False,
     ):
         param_schemas = list(param_schemas)

onnxscript/function_libs/tools/torch_lib/deduce_type_constraints_test.py

@@ -7,7 +7,7 @@
 import inspect
 import logging
 import unittest
-from typing import Generator
+from collections.abc import Generator
 
 import parameterized
 

onnxscript/function_libs/tools/torch_lib/generate_aten_signatures.py

@@ -13,7 +13,8 @@
 import os
 import textwrap
 import typing
-from typing import Any, Sequence
+from collections.abc import Sequence
+from typing import Any
 
 import torchgen.gen
 import torchgen.model