Test grid to and from dict functionality - disabled

This requires setting the comparison method in the TurbineGrid and Grid classes. While this can be done with
field(eq=cmp_using(eq=np.array_equal))
this adds a lot of additional code to the attribute declarations and makes them difficult to read. Holding off for now but I wanted to leave the test in place for future reference.

floris/type_dec.py

@@ -28,7 +28,12 @@
 import attrs
 import numpy as np
 import numpy.typing as npt
-from attrs import Attribute, define
+from attrs import (
+    Attribute,
+    # cmp_using,
+    define,
+    # field,
+)
 
 
 ### Define general data types used throughout
@@ -51,6 +56,18 @@ def floris_array_converter(data: Iterable) -> np.ndarray:
         raise TypeError(e.args[0] + f". Data given: {data}")
     return a
 
+# def array_field(**kwargs) -> Callable:
+#     """
+#     A wrapper for the :py:func:`attr.field` function that converts the input to a Numpy array,
+#     adds a comparison function specific to Numpy arrays, and passes through all additional
+#     keyword arguments.
+#     """
+#     return field(
+#         converter=floris_array_converter,
+#         eq=cmp_using(eq=np.array_equal),
+#         **kwargs
+#     )
+
 def _attr_serializer(inst: type, field: Attribute, value: Any):
     if isinstance(value, np.ndarray):
         return value.tolist()

tests/turbine_grid_unit_test.py

@@ -14,9 +14,8 @@
 
 
 import numpy as np
-import pytest
 
-from floris.utilities import Vec3
+from floris.simulation import TurbineGrid
 from tests.conftest import (
     N_TURBINES,
     N_WIND_DIRECTIONS,
@@ -25,7 +24,10 @@
 )
 
 
-# TODO: test the dimension expansion
+# def test_from_dict_as_dict(turbine_grid_fixture):
+#     grid_dict = turbine_grid_fixture.as_dict()
+#     new_grid = TurbineGrid.from_dict(grid_dict)
+#     assert new_grid == turbine_grid_fixture
 
 
 def test_set_grid(turbine_grid_fixture):