0.29.11

documentation

Author: bartzbeielstein

pyproject.toml

@@ -7,7 +7,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "spotpython"
-version = "0.29.10"
+version = "0.29.11"
 authors = [
   { name="T. Bartz-Beielstein", email="tbb@bartzundbartz.de" }
 ]

src/spotpython/utils/sampling.py

@@ -356,7 +356,7 @@ def mmphi(X: np.ndarray, q: Optional[float] = 2.0, p: Optional[float] = 1.0) ->
         >>> # Calculate the space-fillingness metric with q=2, using Euclidean distances (p=2)
         >>> quality = mmphi(X, q=2, p=2)
         >>> print(quality)
-        # This value indicates how well points are spread out, with higher being better.
+        # This value indicates how well points are spread out, with smaller being better.
     """
     # Compute the distance multiplicities: J, and unique distances: d
     J, d = jd(X, p)
@@ -558,7 +558,7 @@ def mmlhs(X_start: np.ndarray, population: int, iterations: int, q: Optional[flo
 
     Examples:
         >>> import numpy as np
-        >>> from your_module import mmlhs
+        >>> from spotpython.utils.sampling import mmlhs
         >>> # Suppose we have an initial 4x2 plan
         >>> X_start = np.array([
         ...     [0, 0],