Fix type hints issues

Author: seisman

pygmt/datatypes/header.py

@@ -3,7 +3,7 @@
 """
 
 import ctypes as ctp
-from typing import ClassVar
+from typing import ClassVar, Any
 
 import numpy as np
 
@@ -143,26 +143,21 @@ class _GMT_GRID_HEADER(ctp.Structure):  # noqa: N801
         ("hidden", ctp.c_void_p),
     ]
 
-    def _parse_dimensions(self) -> dict[str, list]:
+    def _parse_dimensions(self):
         """
         Get dimension names and attributes from the grid header.
 
         For a 2-D grid, the dimension names are set to "y" and "x" by default. The
         attributes for each dimension are parsed from the grid header following GMT
         source codes. See the GMT functions "gmtnc_put_units", "gmtnc_get_units" and
         "gmtnc_grd_info" for reference.
-
-        Returns
-        -------
-        dict
-            Dictionary containing the list of dimension names and attributes.
         """
         # Default dimension names.
-        dims: tuple = ("y", "x")
+        dims = ("y", "x")
         nameunits = (self.y_units, self.x_units)
 
         # Dictionary for dimension attributes with the dimension name as the key.
-        attrs: dict = {dim: {} for dim in dims}
+        attrs = {dim: {} for dim in dims}
         # Dictionary for mapping the default dimension names to the actual names.
         newdims = {dim: dim for dim in dims}
         # Loop over dimensions and get the dimension name and attributes from header
@@ -214,16 +209,17 @@ def get_data_attrs(self) -> dict:
         attrs
             The attributes for the data variable.
         """
-        attrs = {"Conventions": "CF-1.7"}
+        attrs : dict[str, Any] = {}
+        attrs["Conventions"] = "CF-1.7"
+        attrs["title"] = self.title
+        attrs["history"] = self.command
+        attrs["description"] = self.remark
         long_name, units = _parse_nameunits(self.z_units.decode())
         if long_name:
             attrs["long_name"] = long_name
         if units:
             attrs["units"] = units
         attrs["actual_range"] = np.array([self.z_min, self.z_max])
-        attrs["title"] = self.title
-        attrs["history"] = self.command
-        attrs["description"] = self.remark
         return attrs
 
     def get_dims(self):