dtype keyword is positional one in astype

Author: antonwolfy

dpnp/dpnp_iface_logic.py

@@ -844,7 +844,7 @@ def isclose(a, b, rtol=1e-05, atol=1e-08, equal_nan=False):
         )
     elif dpnp.issubdtype(b, dpnp.integer):
         dt = dpnp.result_type(b, 1.0, rtol, atol)
-        b = dpnp.astype(b, dtype=dt)
+        b = dpnp.astype(b, dt)
 
     # Firstly handle finite values:
     # result = absolute(a - b) <= atol + rtol * absolute(b)

dpnp/dpnp_iface_statistics.py

@@ -900,14 +900,14 @@ def cov(
         if fweights.ndim > 1:
             raise ValueError("cannot handle multidimensional fweights")
 
-        fweights = dpnp.astype(fweights, dtype=def_float)
+        fweights = dpnp.astype(fweights, def_float)
 
     if aweights is not None:
         dpnp.check_supported_arrays_type(aweights)
         if aweights.ndim > 1:
             raise ValueError("cannot handle multidimensional aweights")
 
-        aweights = dpnp.astype(aweights, dtype=def_float)
+        aweights = dpnp.astype(aweights, def_float)
 
     return dpnp_cov(
         m,

dpnp/dpnp_iface_trigonometric.py

@@ -2448,7 +2448,7 @@ def unwrap(p, discont=None, axis=-1, *, period=2 * dpnp.pi):
     abs_p_diff = dpnp.abs(p_diff, out=p_diff)
     ph_correct = dpnp.where(abs_p_diff < discont, 0, ph_correct, out=ph_correct)
 
-    up = dpnp.astype(p, dtype=dt, copy=True)
+    up = dpnp.astype(p, dt, copy=True)
     up[slice1] = p[slice1]
     up[slice1] += ph_correct.cumsum(axis=axis)
     return up