restrict to numpy version 1.26.4 maximum. Numpy > v2 does not result …

…in correct output

findpeaks/examples.py

@@ -82,7 +82,7 @@
 from findpeaks import findpeaks
 rng = np.random.default_rng(42)
 x = rng.normal(size=(50, 50))
-x = gaussian_filter(x, sigma=10.)
+x = gaussian_filter(x, sigma=10)
 # peak and valley
 fp = findpeaks(method="topology", whitelist=['peak', 'valley'], denoise=None, verbose=3)
 results = fp.fit(x)

findpeaks/stats.py

@@ -436,6 +436,7 @@ def topology(X, limit=None, reverse=True, verbose=3):
     # It is important to ensure unique values because the method sorts the values and only unique values are processed.
     # Without adjusting duplicated values, peaks with exactly the same height will be skipped.
     X = _make_unique(X)
+    # X = np.maximum(X + ((X>0).astype(int) * np.random.rand(X.shape[0], X.shape[1])/10), 0)
 
     # Get indices orderd by value from high to low
     indices = [(i, j) for i in range(h) for j in range(w) if _get_indices(X, (i, j)) is not None and _get_indices(X, (i, j)) >= limit]

requirements.txt

@@ -1,6 +1,6 @@
 scipy
 matplotlib
-numpy
+numpy==1.26.4
 pandas
 tqdm
 requests

setup.py

@@ -15,7 +15,7 @@
 setuptools.setup(
      install_requires=['scipy',
                        'matplotlib',
-                       'numpy',
+                       'numpy==1.26.4',
                        'pandas',
                        'tqdm',
                        'requests',