style: no implicit optional lint

ibis/backends/base/__init__.py

@@ -625,7 +625,7 @@ def current_database(self) -> str | None:
         """
 
     @abc.abstractmethod
-    def list_databases(self, like: str = None) -> list[str]:
+    def list_databases(self, like: str | None = None) -> list[str]:
         """List existing databases in the current connection.
 
         Parameters

ibis/backends/base/df/scope.py

@@ -54,7 +54,7 @@
 class Scope:
     def __init__(
         self,
-        param: dict[Node, Any] = None,
+        param: dict[Node, Any] | None = None,
         timecontext: TimeContext | None = None,
     ):
         """Create a new scope.

ibis/backends/dask/__init__.py

@@ -69,7 +69,7 @@ def version(self):
     def execute(
         self,
         query: ir.Expr,
-        params: Mapping[ir.Expr, object] = None,
+        params: Mapping[ir.Expr, object] | None = None,
         limit: str = 'default',
         **kwargs,
     ):
@@ -94,7 +94,7 @@ def execute(
         return _apply_schema(query.op(), result)
 
     def compile(
-        self, query: ir.Expr, params: Mapping[ir.Expr, object] = None, **kwargs
+        self, query: ir.Expr, params: Mapping[ir.Expr, object] | None = None, **kwargs
     ):
         """Compile `expr`.
 
@@ -110,7 +110,7 @@ def compile(
 
         return execute_and_reset(query.op(), params=params, **kwargs)
 
-    def table(self, name: str, schema: sch.Schema = None):
+    def table(self, name: str, schema: sch.Schema | None = None):
         df = self.dictionary[name]
         schema = schema or self.schemas.get(name, None)
         schema = DaskData.infer_table(df, schema=schema)

ibis/backends/dask/execution/selection.py

@@ -39,7 +39,7 @@ def compute_projection(
     node,
     parent,
     data,
-    scope: Scope = None,
+    scope: Scope | None = None,
     timecontext: TimeContext | None = None,
     **kwargs,
 ):

ibis/backends/dask/execution/util.py

@@ -206,7 +206,7 @@ def compute_sort_key(
     key: str | SortKey,
     data: dd.DataFrame,
     timecontext: TimeContext,
-    scope: Scope = None,
+    scope: Scope | None = None,
     **kwargs,
 ):
     """Compute a sort key.
@@ -237,7 +237,7 @@ def compute_sort_key(
 def compute_sorted_frame(
     df: dd.DataFrame,
     order_by: list[str | SortKey],
-    group_by: list[str | SortKey] = None,
+    group_by: list[str | SortKey] | None = None,
     timecontext=None,
     **kwargs,
 ) -> dd.DataFrame:

ibis/backends/datafusion/__init__.py

@@ -330,7 +330,7 @@ def to_pyarrow_batches(
     def execute(
         self,
         expr: ir.Expr,
-        params: Mapping[ir.Expr, object] = None,
+        params: Mapping[ir.Expr, object] | None = None,
         limit: int | str | None = "default",
         **kwargs: Any,
     ):
@@ -349,7 +349,7 @@ def execute(
     def compile(
         self,
         expr: ir.Expr,
-        params: Mapping[ir.Expr, object] = None,
+        params: Mapping[ir.Expr, object] | None = None,
         **kwargs: Any,
     ):
         return translate(expr.op())

ibis/backends/pandas/__init__.py

@@ -92,7 +92,7 @@ def list_databases(self, like=None):
     def list_tables(self, like=None, database=None):
         return self._filter_with_like(list(self.dictionary.keys()), like)
 
-    def table(self, name: str, schema: sch.Schema = None):
+    def table(self, name: str, schema: sch.Schema | None = None):
         df = self.dictionary[name]
         schema = schema or self.schemas.get(name, None)
         schema = PandasData.infer_table(df, schema=schema)

ibis/backends/pandas/core.py

@@ -242,7 +242,7 @@ def execute_until_in_scope(
     node,
     scope: Scope,
     timecontext: TimeContext | None = None,
-    aggcontext: agg_ctx.AggregationContext = None,
+    aggcontext: agg_ctx.AggregationContext | None = None,
     clients: Iterable | None = None,
     post_execute_: Callable | None = None,
     **kwargs: Any,
@@ -372,7 +372,7 @@ def main_execute(
     params: Mapping[ops.Node, Any] | None = None,
     scope: Scope | None = None,
     timecontext: TimeContext | None = None,
-    aggcontext: agg_ctx.AggregationContext = None,
+    aggcontext: agg_ctx.AggregationContext | None = None,
     cache: Mapping[ops.Node, Any] | None = None,
     **kwargs: Any,
 ):

ibis/backends/pandas/execution/window.py

@@ -260,7 +260,7 @@ def trim_window_result(data: pd.Series | pd.DataFrame, timecontext: TimeContext
 def execute_window_op(
     op,
     data,
-    scope: Scope = None,
+    scope: Scope | None = None,
     timecontext: TimeContext | None = None,
     aggcontext=None,
     clients=None,

ibis/backends/polars/__init__.py

@@ -59,7 +59,7 @@ def list_databases(self, like=None):
     def list_tables(self, like=None, database=None):
         return self._filter_with_like(list(self._tables.keys()), like)
 
-    def table(self, name: str, _schema: sch.Schema = None) -> ir.Table:
+    def table(self, name: str, _schema: sch.Schema | None = None) -> ir.Table:
         schema = schema_from_polars(self._tables[name].schema)
         return ops.DatabaseTable(name, schema, self).to_expr()
 
@@ -349,7 +349,9 @@ def has_operation(cls, operation: type[ops.Value]) -> bool:
             issubclass(operation, op_impl) for op_impl in op_classes
         )
 
-    def compile(self, expr: ir.Expr, params: Mapping[ir.Expr, object] = None, **_: Any):
+    def compile(
+        self, expr: ir.Expr, params: Mapping[ir.Expr, object] | None = None, **_: Any
+    ):
         node = expr.op()
         ctx = self._context
         if params:
@@ -385,7 +387,7 @@ def _get_schema_using_query(self, query: str) -> sch.Schema:
     def execute(
         self,
         expr: ir.Expr,
-        params: Mapping[ir.Expr, object] = None,
+        params: Mapping[ir.Expr, object] | None = None,
         limit: int | None = None,
         **kwargs: Any,
     ):
@@ -413,7 +415,7 @@ def execute(
     def _to_pyarrow_table(
         self,
         expr: ir.Expr,
-        params: Mapping[ir.Expr, object] = None,
+        params: Mapping[ir.Expr, object] | None = None,
         limit: int | None = None,
         **kwargs: Any,
     ):
@@ -433,7 +435,7 @@ def _to_pyarrow_table(
     def to_pyarrow(
         self,
         expr: ir.Expr,
-        params: Mapping[ir.Expr, object] = None,
+        params: Mapping[ir.Expr, object] | None = None,
         limit: int | None = None,
         **kwargs: Any,
     ):

ibis/common/annotations.py

@@ -108,9 +108,9 @@ class Argument(Annotation):
 
     def __init__(
         self,
-        validator: Validator = None,
+        validator: Validator | None = None,
         default: Any = EMPTY,
-        typehint: type = None,
+        typehint: type | None = None,
         kind: int = POSITIONAL_OR_KEYWORD,
     ):
         super().__init__(validator, default, typehint)

ibis/common/patterns.py

@@ -1167,7 +1167,7 @@ def pattern(obj: AnyType) -> Pattern:
         return EqualTo(obj)
 
 
-def match(pat: Pattern, value: AnyType, context: dict[str, AnyType] = None):
+def match(pat: Pattern, value: AnyType, context: Optional[dict[str, AnyType]] = None):
     """Match a value against a pattern.
 
     Parameters