fixup: to_roxar etc

src/xtgeo/cube/cube1.py

@@ -6,7 +6,7 @@
 import pathlib
 import tempfile
 import warnings
-from typing import Any, Optional
+from typing import Any, Optional, Tuple
 
 import deprecation
 import numpy as np
@@ -955,7 +955,7 @@ def to_roxar(
         folder: Optional[str] = None,
         propname: str = "seismic_attribute",
         domain: str = "time",
-        compression: tuple = ("wavelet", 5),
+        compression: Tuple[str, float] = ("wavelet", 5.0),
         target: str = "seismic",
     ):  # pragma: no cover
         """Export (transfer) a cube from a XTGeo cube object to Roxar data.
@@ -974,7 +974,8 @@ def to_roxar(
             propname: Name of grid property; only relevant when target is "grid" and
                 defaults to "seismic_attribute"
             domain: 'time' (default) or 'depth'
-            compression (tuple): description to come...
+            compression: Reference to Roxar API 'compression method' and 'compression
+                tolerance', but implementation is pending. Hence inactive.
             target: Optionally, the seismic cube can be written to the `Grid model`
                 tree in RMS. Internally, it will be convert to a "box" grid with one
                 gridproperty, before it is written to RMS. The ``compression``and
@@ -1081,9 +1082,10 @@ def _ensure_correct_values(self, values):
 
         if isinstance(values, numbers.Number):
             self._values = np.zeros(self.dimensions, dtype=np.float32) + values
+            self._values = self._values.astype(np.float32)  # ensure 32 bit floats
 
         elif isinstance(values, np.ndarray):
-            values = values.reshape(self.dimensions)
+            values = values.reshape(self.dimensions).astype(np.float32)
 
             if not values.data.c_contiguous:
                 values = np.ascontiguousarray(values)
@@ -1092,4 +1094,5 @@ def _ensure_correct_values(self, values):
         elif isinstance(values, (list, tuple)):
             self._values = np.array(values, dtype=np.float32).reshape(self.dimensions)
 
-        self._values = self._values.astype(np.float32)
+        else:
+            raise RuntimeError("Cannot process _ensure_correct_values")