Update dpnp.fix by reusing trunc and align docs with NumPy

Author: vlad-perevezentsev

dpnp/dpnp_iface_mathematical.py

@@ -66,7 +66,6 @@
     DPNPBinaryFunc,
     DPNPBinaryFuncOutKw,
     DPNPBinaryTwoOutputsFunc,
-    DPNPFix,
     DPNPImag,
     DPNPReal,
     DPNPRound,
@@ -1813,66 +1812,57 @@ def ediff1d(ary, to_end=None, to_begin=None):
 )
 
 
-_FIX_DOCSTRING = """
-Round to nearest integer towards zero.
-
-Round an array of floats element-wise to nearest integer towards zero.
-The rounded values have the same data-type as the input.
-
-For full documentation refer to :obj:`numpy.fix`.
+def fix(x, out=None):
+    """
+    Round to nearest integer towards zero.
 
-Parameters
-----------
-x : {dpnp.ndarray, usm_ndarray}
-    Input array, expected to have a boolean or real-valued data type.
-out : {None, dpnp.ndarray, usm_ndarray, tuple of ndarray}, optional
-    Output array to populate.
-    Array must have the correct shape and the expected data type.
-    A tuple (possible only as a keyword argument) must have length equal to the
-    number of outputs.
+    Round an array of floats element-wise to nearest integer towards zero.
+    The rounded values have the same data-type as the input.
 
-    Default: ``None``.
-order : {None, "C", "F", "A", "K"}, optional
-    Memory layout of the newly output array, if parameter `out` is ``None``.
+    For full documentation refer to :obj:`numpy.fix`.
 
-    Default: ``"K"``.
+    Parameters
+    ----------
+    x : {dpnp.ndarray, usm_ndarray}
+        Input array, expected to have a boolean or real-valued data type.
+    out : {None, dpnp.ndarray, usm_ndarray, tuple of ndarray}, optional
+        Output array to populate.
+        Array must have the correct shape and the expected data type.
+        A tuple (possible only as a keyword argument) must have length equal to
+        the number of outputs.
 
-Returns
--------
-out : dpnp.ndarray
-    An array with the same dimensions and data-type as the input.
-    If `out` is ``None`` then a new array is returned
-    with the rounded values.
-    Otherwise the result is stored there and the return value `out` is
-    a reference to that array.
+        Default: ``None``.
 
-See Also
---------
-:obj:`dpnp.round` : Round to given number of decimals.
-:obj:`dpnp.rint` : Round elements of the array to the nearest integer.
-:obj:`dpnp.trunc` : Return the truncated value of the input, element-wise.
-:obj:`dpnp.floor` : Return the floor of the input, element-wise.
-:obj:`dpnp.ceil` : Return the ceiling of the input, element-wise.
+    Returns
+    -------
+    out : dpnp.ndarray
+        An array with the same dimensions and data-type as the input.
+        If `out` is ``None`` then a new array is returned
+        with the rounded values.
+        Otherwise the result is stored there and the return value `out` is
+        a reference to that array.
 
-Examples
---------
->>> import dpnp as np
->>> np.fix(np.array(3.14))
-array(3.)
->>> np.fix(np.array(3))
-array(3.)
->>> a = np.array([2.1, 2.9, -2.1, -2.9])
->>> np.fix(a)
-array([ 2.,  2., -2., -2.])
+    See Also
+    --------
+    :obj:`dpnp.round` : Round to given number of decimals.
+    :obj:`dpnp.rint` : Round elements of the array to the nearest integer.
+    :obj:`dpnp.trunc` : Return the truncated value of the input, element-wise.
+    :obj:`dpnp.floor` : Return the floor of the input, element-wise.
+    :obj:`dpnp.ceil` : Return the ceiling of the input, element-wise.
 
-"""
+    Examples
+    --------
+    >>> import dpnp as np
+    >>> np.fix(np.array(3.14))
+    array(3.)
+    >>> np.fix(np.array(3))
+    array(3.)
+    >>> a = np.array([2.1, 2.9, -2.1, -2.9])
+    >>> np.fix(a)
+    array([ 2.,  2., -2., -2.])
+    """
 
-fix = DPNPFix(
-    "fix",
-    ufi._fix_result_type,
-    ufi._fix,
-    _FIX_DOCSTRING,
-)
+    return trunc(x, out=out)
 
 
 _FLOAT_POWER_DOCSTRING = """