nummpy 2.0 deprecation np.Inf fix (#7)

* nummpy 2.0 deprecation np.Inf fix

Author: AndreDerCoole

paule/paule.py

@@ -878,10 +878,10 @@ def criterion(pred_semvec, target_semvec, cps):
         initial_pred_semvec = initial_pred_semvec[-1, :].detach().cpu().numpy().copy()
 
 
-        self.best_synthesis_acoustic = BestSynthesisAcoustic(np.Inf, initial_cp, initial_sig, initial_prod_mel, initial_pred_mel)
-        self.best_synthesis_semantic = BestSynthesisSemantic(np.Inf, initial_cp, initial_sig, initial_prod_semvec, initial_pred_semvec)
+        self.best_synthesis_acoustic = BestSynthesisAcoustic(np.inf, initial_cp, initial_sig, initial_prod_mel, initial_pred_mel)
+        self.best_synthesis_semantic = BestSynthesisSemantic(np.inf, initial_cp, initial_sig, initial_prod_semvec, initial_pred_semvec)
         if self.use_somatosensory_feedback:
-            self.best_synthesis_somatosensory = BestSynthesisSomatosensory(np.Inf, np.Inf, np.Inf, initial_cp, initial_sig,
+            self.best_synthesis_somatosensory = BestSynthesisSomatosensory(np.inf, np.inf, np.inf, initial_cp, initial_sig,
                                                                            initial_prod_tube,
                                                                            initial_pred_tube,
                                                                            initial_prod_tube_mel,
@@ -1182,7 +1182,7 @@ def criterion(pred_semvec, target_semvec, cps):
                             self.best_synthesis_acoustic = new_synthesis_acoustic
 
                         if self.use_somatosensory_feedback:
-                            new_synthesis_somatosensory = BestSynthesisSomatosensory(float(prod_tube_loss.item()), float(prod_tube_mel_loss.item()), np.Inf,
+                            new_synthesis_somatosensory = BestSynthesisSomatosensory(float(prod_tube_loss.item()), float(prod_tube_mel_loss.item()), np.inf,
                                                                                            xx_new_numpy, sig,
                                                                                            prod_tube,
                                                                                            pred_tube[-1, :].detach().cpu().numpy().copy(),

pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "paule"
-version = "0.4.7"
+version = "0.4.8"
 description = "paule implements the Predictive Articulatory speech synthesis model Utilizing Lexical Embeddings (PAULE), which is a control model for the articulatory speech synthesizer VocalTractLab (VTL)."
 
 license = "GPLv3+"