fix deprecated assertAlmostEquals for Python 3.12 compatibility

assertAlmostEquals was removed in Python 3.12, use assertAlmostEqual instead.

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>

Author: SvenSerneels

src/direpack/test/test_dicomo.py

@@ -52,15 +52,15 @@ def tearDown(self):
     def test_mom(self):
         """ Tests functions to compute moments"""
 
-        self.assertAlmostEquals(self.est.fit(self.x,biascorr=False),np.var(self.x))# biased var
-        self.assertAlmostEquals(self.est.fit(self.x,biascorr=True),np.var(self.x)*self.n/(self.n-1))#unbiased var
+        self.assertAlmostEqual(self.est.fit(self.x,biascorr=False),np.var(self.x))# biased var
+        self.assertAlmostEqual(self.est.fit(self.x,biascorr=True),np.var(self.x)*self.n/(self.n-1))#unbiased var
         self.est.set_params(center='median')
-        self.assertAlmostEquals(self.est.fit(self.x),srs.mad(self.x),places=4)
+        self.assertAlmostEqual(self.est.fit(self.x),srs.mad(self.x),places=4)
         self.est.set_params(center='mean')
-        self.assertAlmostEquals(self.est.fit(self.x,biascorr=False,order=3),sps.moment(self.x,3))#third moment
+        self.assertAlmostEqual(self.est.fit(self.x,biascorr=False,order=3),sps.moment(self.x,3))#third moment
         self.est.set_params(mode='skew')
-        self.assertAlmostEquals(self.est.fit(self.x,biascorr=False),sps.skew(self.x))# skew without small sample corr
-        self.assertAlmostEquals(self.est.fit(self.x,biascorr=True),sps.skew(self.x,bias=False))
+        self.assertAlmostEqual(self.est.fit(self.x,biascorr=False),sps.skew(self.x))# skew without small sample corr
+        self.assertAlmostEqual(self.est.fit(self.x,biascorr=True),sps.skew(self.x,bias=False))
 
 
 
@@ -71,24 +71,24 @@ def test_como(self):
         """ Tests function to compute comomennts"""
 
         self.est.set_params(mode='com')
-        self.assertAlmostEquals(self.est.fit(self.x,y=self.y,biascorr=True),self.data.iloc[:,2:4].cov().values[0,1])#covariance
-        self.assertAlmostEquals(self.est.fit(self.x,y=self.y,biascorr=True,option=1,order=3),0.39009,places=4)#third order comoment
+        self.assertAlmostEqual(self.est.fit(self.x,y=self.y,biascorr=True),self.data.iloc[:,2:4].cov().values[0,1])#covariance
+        self.assertAlmostEqual(self.est.fit(self.x,y=self.y,biascorr=True,option=1,order=3),0.39009,places=4)#third order comoment
         self.est.set_params(mode='corr')
-        self.assertAlmostEquals(self.est.fit(self.x,y=self.y),self.data.iloc[:,2:4].corr().values[0,1])#correlation
+        self.assertAlmostEqual(self.est.fit(self.x,y=self.y),self.data.iloc[:,2:4].corr().values[0,1])#correlation
         self.est.set_params(mode='continuum')
-        self.assertAlmostEquals(np.sqrt(self.est.fit(self.x,y=self.y,alpha=1,biascorr=True)),self.data.iloc[:,2:4].cov().values[0,1])#continuum
+        self.assertAlmostEqual(np.sqrt(self.est.fit(self.x,y=self.y,alpha=1,biascorr=True)),self.data.iloc[:,2:4].cov().values[0,1])#continuum
 
 
     def test_energy(self):
         """ Tests function  to compute energy statistics"""
 
         self.est.set_params(est='distance',mode='var')
-        self.assertAlmostEquals(self.est.fit(self.x,biascorr=False),dc.distance_stats(self.x,self.x).covariance_xy)
-        self.assertAlmostEquals(self.est.fit(self.x,biascorr=True),np.sqrt(dc.u_distance_stats_sqr(self.x,self.x).covariance_xy))      
+        self.assertAlmostEqual(self.est.fit(self.x,biascorr=False),dc.distance_stats(self.x,self.x).covariance_xy)
+        self.assertAlmostEqual(self.est.fit(self.x,biascorr=True),np.sqrt(dc.u_distance_stats_sqr(self.x,self.x).covariance_xy))      
         self.est.set_params(mode='com')
-        self.assertAlmostEquals(self.est.fit(self.x,y=self.y,biascorr=False),dc.distance_covariance(self.x,self.y))
+        self.assertAlmostEqual(self.est.fit(self.x,y=self.y,biascorr=False),dc.distance_covariance(self.x,self.y))
         self.est.set_params(mode='mdd')
-        self.assertAlmostEquals(self.est.fit(self.x,y=self.y,biascorr=False),0.352427150086)
+        self.assertAlmostEqual(self.est.fit(self.x,y=self.y,biascorr=False),0.352427150086)