update docstring for floor, ceil, trunc

Author: Vahid Tavanashad

dpnp/dpnp_iface_mathematical.py

@@ -91,6 +91,7 @@
     "clip",
     "conj",
     "conjugate",
+    "convolve",
     "copysign",
     "cross",
     "cumprod",
@@ -611,7 +612,7 @@ def around(x, /, decimals=0, out=None):
 Parameters
 ----------
 x : {dpnp.ndarray, usm_ndarray}
-    Input array, expected to have a real-valued data type.
+    Input array, expected to have a boolean or real-valued data type.
 out : {None, dpnp.ndarray, usm_ndarray}, optional
     Output array to populate.
     Array must have the correct shape and the expected data type.
@@ -791,6 +792,24 @@ def clip(a, /, min=None, max=None, *, out=None, order="K", **kwargs):
 
 conj = conjugate
 
+
+def convolve(a, v, mode="full"):
+    """
+    Returns the discrete, linear convolution of two one-dimensional sequences.
+
+    For full documentation refer to :obj:`numpy.convolve`.
+
+    Examples
+    --------
+    >>> ca = dpnp.convolve([1, 2, 3], [0, 1, 0.5])
+    >>> print(ca)
+    [0. , 1. , 2.5, 4. , 1.5]
+
+    """
+
+    return call_origin(numpy.convolve, a=a, v=v, mode=mode)
+
+
 _COPYSIGN_DOCSTRING = """
 Composes a floating-point value with the magnitude of `x1_i` and the sign of
 `x2_i` for each element of input arrays `x1` and `x2`.
@@ -1878,7 +1897,7 @@ def ediff1d(ary, to_end=None, to_begin=None):
 Parameters
 ----------
 x : {dpnp.ndarray, usm_ndarray}
-    Input array, expected to have a real-valued data type.
+    Input array, expected to have a boolean or real-valued data type.
 out : {None, dpnp.ndarray, usm_ndarray}, optional
     Output array to populate.
     Array must have the correct shape and the expected data type.
@@ -4551,7 +4570,7 @@ def trapezoid(y, x=None, dx=1.0, axis=-1):
 Parameters
 ----------
 x : {dpnp.ndarray, usm_ndarray}
-    Input array, expected to have a real-valued data type.
+    Input array, expected to have a boolean or real-valued data type.
 out : {None, dpnp.ndarray, usm_ndarray}, optional
     Output array to populate.
     Array must have the correct shape and the expected data type.