address comments

Author: vtavana

dpnp/dpnp_algo/dpnp_elementwise_common.py

@@ -1279,7 +1279,7 @@ def dpnp_greater_equal(x1, x2, out=None, order="K"):
     dpnp.ndarray:
         An array containing the element-wise imaginary component of input.
         If the input is a real-valued data type, the returned array has
-        the same datat type. If the input is a complex floating-point
+        the same data type. If the input is a complex floating-point
         data type, the returned array has a floating-point data type
         with the same floating-point precision as complex input.
 """
@@ -2081,7 +2081,7 @@ def dpnp_proj(x, out=None, order="K"):
     dpnp.ndarray:
         An array containing the element-wise real component of input.
         If the input is a real-valued data type, the returned array has
-        the same datat type. If the input is a complex floating-point
+        the same data type. If the input is a complex floating-point
         data type, the returned array has a floating-point data type
         with the same floating-point precision as complex input.
 """

dpnp/dpnp_array.py

@@ -832,7 +832,8 @@ def imag(self):
         >>> import dpnp as np
         >>> x = np.sqrt(np.array([1+0j, 0+1j]))
         >>> x.imag
-        array([ 0. ,  0.70710678])
+        array([0.        , 0.70710677])
+
         """
         return dpnp.imag(self)
 
@@ -841,7 +842,7 @@ def imag(self, value):
         if dpnp.issubsctype(self.dtype, dpnp.complexfloating):
             dpnp.copyto(self._array_obj.imag, value)
         else:
-            raise TypeError("dpnp.ndarray does not have imaginary part to set")
+            raise TypeError("array does not have imaginary part to set")
 
     def item(self, id=None):
         """
@@ -1010,7 +1011,8 @@ def real(self):
         >>> import dpnp as np
         >>> x = np.sqrt(np.array([1+0j, 0+1j]))
         >>> x.real
-        array([ 1. ,  0.70710678])
+        array([1.        , 0.70710677])
+
         """
         if dpnp.issubsctype(self.dtype, dpnp.complexfloating):
             return dpnp.real(self)

dpnp/dpnp_iface_mathematical.py

@@ -1206,12 +1206,14 @@ def imag(
     >>> import dpnp as np
     >>> a = np.array([1+2j, 3+4j, 5+6j])
     >>> a.imag
-    array([2.,  4.,  6.])
+    array([2., 4., 6.])
+
     >>> a.imag = np.array([8, 10, 12])
     >>> a
-    array([1.+8.j,  3.+10.j,  5.+12.j])
+    array([1. +8.j, 3.+10.j, 5.+12.j])
+
     >>> np.imag(np.array(1 + 1j))
-    array(1.0)
+    array(1.)
 
     """
 
@@ -2000,6 +2002,7 @@ def proj(
 
     >>> np.proj(np.array([complex(1,np.inf), complex(1,-np.inf), complex(np.inf,-1),]))
     array([inf+0.j, inf-0.j, inf-0.j])
+
     """
 
     return check_nd_call_func(
@@ -2055,13 +2058,16 @@ def real(
     >>> import dpnp as np
     >>> a = np.array([1+2j, 3+4j, 5+6j])
     >>> a.real
-    array([1.,  3.,  5.])
+    array([1., 3., 5.])
+
     >>> a.real = 9
     >>> a
-    array([9.+2.j,  9.+4.j,  9.+6.j])
+    array([9.+2.j, 9.+4.j, 9.+6.j])
+
     >>> a.real = np.array([9, 8, 7])
     >>> a
-    array([9.+2.j,  8.+4.j,  7.+6.j])
+    array([9.+2.j, 8.+4.j, 7.+6.j])
+
     >>> np.real(np.array(1 + 1j))
     array(1.)