163 update missing type (#164)

* feat: support numpy 2+

* fix: lints

* fix: support for Python3.8

* fix: type fix for numpy2

PyEMD/EMD_matlab.py

@@ -15,6 +15,7 @@
 from scipy.interpolate import interp1d
 
 from PyEMD.splines import akima
+from PyEMD.utils import deduce_common_type
 
 
 class EMD:
@@ -429,7 +430,7 @@ def stop_sifting(self, imf, envMax, envMin, mean, extNo):
 
     @staticmethod
     def _common_dtype(x, y):
-        dtype = np.find_common_type([x.dtype, y.dtype], [])
+        dtype = deduce_common_type([x.dtype, y.dtype], [])
         if x.dtype != dtype:
             x = x.astype(dtype)
         if y.dtype != dtype:

PyEMD/experimental/jitemd.py

@@ -30,6 +30,8 @@
 from numba.types import float64, int64, unicode_type
 from scipy.interpolate import Akima1DInterpolator, interp1d
 
+from PyEMD.utils import deduce_common_type
+
 FindExtremaOutput = Tuple[np.ndarray, np.ndarray, np.ndarray, np.ndarray, np.ndarray]
 
 
@@ -758,17 +760,6 @@ def check_imf(
     return False
 
 
-# @nb.jit
-def _common_dtype(x: np.ndarray, y: np.ndarray) -> Tuple[np.ndarray, np.ndarray]:
-    """Casts inputs (x, y) into a common numpy DTYPE."""
-    dtype = np.find_common_type([x.dtype, y.dtype], [])
-    if x.dtype != dtype:
-        x = x.astype(dtype)
-    if y.dtype != dtype:
-        y = y.astype(dtype)
-    return x, y
-
-
 @nb.jit
 def _normalize_time(t: np.ndarray) -> np.ndarray:
     """
@@ -811,7 +802,7 @@ def emd(
     # T = _normalize_time(T)
 
     # Make sure same types are dealt
-    # S, T = _common_dtype(S, T)
+    # S, T = deduce_common_Types(S, T)
     MAX_ITERATION = config["MAX_ITERATION"]
     FIXE = config["FIXE"]
     FIXE_H = config["FIXE_H"]