chore(deps): update dependency mypy to >=1.10.0,<1.13 (#187)

* chore(deps): update dependency mypy to >=1.10.0,<1.13

* ignores

---------

Co-authored-by: renovate[bot] <29139614+renovate[bot]@users.noreply.github.com>
Co-authored-by: eakmanrq <6326532+eakmanrq@users.noreply.github.com>

setup.py

@@ -31,7 +31,7 @@
         "dev": [
             "duckdb>=0.9,<1.2",
             "findspark>=2,<3",
-            "mypy>=1.10.0,<1.12",
+            "mypy>=1.10.0,<1.13",
             "openai>=1.30,<1.53",
             "pandas>=2,<3",
             "pandas-stubs>=2,<3",

sqlframe/base/column.py

@@ -388,7 +388,7 @@ def substr(self, startPos: t.Union[int, Column], length: t.Union[int, Column]) -
 
     def isin(self, *cols: t.Union[ColumnOrLiteral, t.Iterable[ColumnOrLiteral]]):
         columns = flatten(cols) if isinstance(cols[0], (list, set, tuple)) else cols  # type: ignore
-        expressions = [self._lit(x).expression for x in columns]
+        expressions = [self._lit(x).expression for x in columns]  # type: ignore
         return Column.invoke_expression_over_column(self, exp.In, expressions=expressions)  # type: ignore
 
     def between(

sqlframe/base/function_alternatives.py

@@ -1320,8 +1320,8 @@ def flatten_using_array_flatten(col: ColumnOrName) -> Column:
 def map_concat_using_map_cat(*cols: t.Union[ColumnOrName, t.Iterable[ColumnOrName]]) -> Column:
     columns = list(flatten(cols)) if not isinstance(cols[0], (str, Column)) else cols  # type: ignore
     if len(columns) == 1:
-        return Column.invoke_anonymous_function(columns[0], "MAP_CAT")
-    return Column.invoke_anonymous_function(columns[0], "MAP_CAT", *columns[1:])
+        return Column.invoke_anonymous_function(columns[0], "MAP_CAT")  # type: ignore
+    return Column.invoke_anonymous_function(columns[0], "MAP_CAT", *columns[1:])  # type: ignore
 
 
 def sequence_from_generate_series(

sqlframe/base/functions.py

@@ -1652,8 +1652,8 @@ def arrays_zip(*cols: ColumnOrName) -> Column:
 def map_concat(*cols: t.Union[ColumnOrName, t.Iterable[ColumnOrName]]) -> Column:
     columns = list(flatten(cols)) if not isinstance(cols[0], (str, Column)) else cols  # type: ignore
     if len(columns) == 1:
-        return Column.invoke_anonymous_function(columns[0], "MAP_CONCAT")
-    return Column.invoke_anonymous_function(columns[0], "MAP_CONCAT", *columns[1:])
+        return Column.invoke_anonymous_function(columns[0], "MAP_CONCAT")  # type: ignore
+    return Column.invoke_anonymous_function(columns[0], "MAP_CONCAT", *columns[1:])  # type: ignore
 
 
 @meta(unsupported_engines="postgres")