[GitHub] [incubator-mxnet] mikemwx commented on a change in pull request #15388: Doc

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mikemwx commented on a change in pull request #15388: Doc
URL: https://github.com/apache/incubator-mxnet/pull/15388#discussion_r298868671
 
 

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 File path: python/mxnet/ndarray/numpy/_op.py
 ##########
 @@ -720,6 +742,137 @@ def _unary_func_helper(x, fn_array, fn_scalar, out=None, **kwargs):
     else:
         raise TypeError('type {} not supported'.format(str(type(x))))
 
+@set_module('mxnet.ndarray.numpy')
+def trunc(x, out=None, **kwargs):
+    r"""
+    trunc(x, out=None)
+
+    Return the truncated value of the input, element-wise.
+
+    The truncated value of the scalar `x` is the nearest integer `i` which
+    is closer to zero than `x` is. In short, the fractional part of the
+    signed number `x` is discarded.
+    
+    Parameters
+    ----------
+    x : ndarray or scalar
+        Input data.
+    out : ndarray or None, optional 
+        A location into which the result is stored. 
+    
+    Returns
+    -------
+    y : ndarray or scalar
+        The truncated value of each element in `x`.
+        This is a scalar if `x` is a scalar.
+
+    Notes
+    -----
+    This function differs to the original numpy.trunc in the following aspects:
+        - Do not support where.
+        - Can't cast type automatically.
+        - Input can't broadcast to out.
+        - If x is plain python numeric, the result won't be stored in out.
+    
+    Examples
+    --------
+    >>> a = np.array([-1.7, -1.5, -0.2, 0.2, 1.5, 1.7, 2.0])
+    >>> np.trunc(a)
+    array([-1., -1., -0.,  0.,  1.,  1.,  2.])
+    """
+    return _unary_func_helper(x, _npi.trunc, _np.trunc, out=out, **kwargs)
+
+@set_module('mxnet.ndarray.numpy')
+def logical_not(x, out=None, **kwargs):
+    r"""
+    logical_not(x, out=None)
+
+    Compute the truth value of NOT x element-wise.
+
+    Parameters
+    ----------
+    x : ndarray or scalar
+        Logical NOT is applied to the elements of `x`.
+    out : ndarray or None, optional
+        A location into which the result is stored. 
+    
+    Returns
+    -------
+    y : bool or ndarray of bool
+        Boolean result with the same shape as `x` of the NOT operation
+        on elements of `x`.
+        This is a scalar if `x` is a scalar.
+
+    Notes
+    -----
+    This function differs to the original numpy.logical_not in the following aspects:
 
 Review comment:
   Also, differ from

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