nitpick

Author: tommyod

src/semeio/fmudesign/create_design.py

@@ -857,7 +857,7 @@ def generate(
 
                 if not is_consistent_correlation_matrix(correlations):
                     print(
-                        f"\nWarning: Correlation matrix {corr_group_name!r} is not consistent"
+                        f"\nWarning: Correlation matrix {corr_group_name!r} is invalid"
                     )
                     print("Requirements:")
                     print("  - Ones on the diagonal")
@@ -875,7 +875,7 @@ def generate(
                 expression.correlate(*corrvars, corr_mat=df_correlations.values)
                 self.correlation_dfs_[corr_group_name] = df_correlations
 
-        # Sample the dummy node - this samples every parent and populates "samples_"
+        # Either do ImanConover followed by Permutation, or simply ImanConover
         if correlation_iterations > 0:
             correlator = probabilit.correlation.Composite(
                 iterations=correlation_iterations,
@@ -886,6 +886,7 @@ def generate(
         else:
             correlator = probabilit.correlation.ImanConover()
 
+        # Sample the dummy node - this samples every parent and populates "samples_"
         expression.sample(
             size=numreals, random_state=rng, method="lhs", correlator=correlator
         )
@@ -895,7 +896,8 @@ def generate(
             is_numeric = issubclass(samples.dtype.type, np.number)
             if is_numeric and not np.all(np.isfinite(distr_obj.samples_)):
                 raise ValueError(
-                    f"Sampling produced non-finite values in {distr_name}={distr_obj}"
+                    f"Sampling produced non-finite values in {distr_name}={distr_obj}\n"
+                    "Please review the parameters in the distribution."
                 )
 
             # Discrete distributions are handled in a special way. We map them
@@ -911,7 +913,7 @@ def generate(
                 )
 
             self.sensvalues = self.sensvalues.assign(**{distr_name: samples})
-            print(f"Wrote {numreals} samples from {distr_name!r} {distr_obj}")
+            print(f"Wrote {numreals} samples from {distr_name!r}")
 
         if self.sensname != "background":
             self.sensvalues["REAL"] = realnums