19 remove orphaned cov argument from normallhs sampling

requirements.txt

@@ -8,8 +8,8 @@ pyDOE3>=1.0
 psutil>=5.9
 hilbertcurve>=2.0.5
 
-dictIO>=0.2.9
-ospx>=0.2.11
+dictIO>=0.3.1
+ospx>=0.2.12
 
 # ../dictIO
 # ../ospx

setup.cfg

@@ -48,8 +48,8 @@ install_requires =
     pyDOE3>=1.0
     psutil>=5.9
     hilbertcurve>=2.0.5
-    dictIO>=0.2.9
-    ospx>=0.2.11
+    dictIO>=0.3.1
+    ospx>=0.2.12
     # dictIO @ file:../dictIO
     # ospx @ file:../ospx
 

src/farn/sampling/sampling.py

@@ -82,7 +82,6 @@ def _set_up_known_sampling_types(self):
                 ],
                 "optional_args": [
                     "_ranges",
-                    "_cov",
                 ],
             },
             "sobol": {
@@ -283,15 +282,13 @@ def _generate_samples_using_uniform_lhs_sampling(self) -> Dict[str, List[Any]]:
         return samples
 
     def _generate_samples_using_normal_lhs_sampling(self) -> Dict[str, List[Any]]:
-        """LHS using gaussian normal distributions
+        """LHS using gaussian normal distributions.
+
         required input arguments:
         * _names: required names template
         * _numberOfSamples: required how many samples
         * _mu: required absolute location vector of distribution center point (origin)
-        * _sigma: variation (vector), or required scalar, optional vector, optional cov
-        or
-        NOT IMPLEMENTED, DOES NOT MAKE MUCH SENSE!
-        * _cov: @ _mu optional rotation (tensor), otherwise I(_numberOfSamples,_numberOfSamples).
+        * _sigma: variation (vector), or required scalar, optional vector
         """
         _ = self._check_length_matches_number_of_names("_mu")
         if isinstance(self.sampling_parameters["_sigma"], Sequence):

tests/test_dicts/test_farnDict_normalLhs

@@ -14,7 +14,7 @@ test normalLhs
 for sample set dimensioning
 purpose:
 generate a spacial, normal distributed sample set
-_ranges: do not dimension the spacial extent of lhs, only limiting. for dimensioning _sigma (_cov) is used
+_ranges: do not dimension the spatial extent of lhs, only limiting. For dimensioning, _sigma is used.
 */
 _layers {
     lhsvar