format fix

python/mxnet/ndarray/numpy/_op.py

@@ -5420,20 +5420,20 @@ def where(condition, x=None, y=None):
         return _npi.where(condition, x, y, out=None)
 
 
-def unravel_index(indices, shape, order = 'C'):
+def unravel_index(indices, shape, order='C'): # pylint: disable=redefined-outer-name
     """
     Converts a flat index or array of flat indices into a tuple of coordinate arrays.
 
-    Parameters:	
+    Parameters:
     -------------
     indices : array_like
-            An integer array whose elements are indices into the flattened version of an array of dimensions shape. 
+            An integer array whose elements are indices into the flattened version of an array of dimensions shape.
             Before version 1.6.0, this function accepted just one index value.
     shape : tuple of ints
             The shape of the array to use for unraveling indices.
 
     Returns:
-    -------------	
+    -------------
     unraveled_coords : ndarray
             Each row in the ndarray has the same shape as the indices array.
             Each column in the ndarray represents the unravelled index
@@ -5453,4 +5453,4 @@ def unravel_index(indices, shape, order = 'C'):
             ret_list += [item]
         return tuple(ret_list)
     else:
-        raise NotImplementedError('Operator unravel_index does not support column-major (Fortran-style) order at this moment')          
+        raise NotImplementedError('Do not support column-major (Fortran-style) order at this moment')    

python/mxnet/numpy/multiarray.py

@@ -7404,21 +7404,21 @@ def where(condition, x=None, y=None):
     return _mx_nd_np.where(condition, x, y)
 
 
-def unravel_index(indices, shape, order = 'C'):
+def unravel_index(indices, shape, order='C'): # pylint: disable=redefined-outer-name
     """
     Converts a flat index or array of flat indices into a tuple of coordinate arrays.
 
-    Parameters:	
+    Parameters:
     -------------
     indices : array_like
-            An integer array whose elements are indices into the flattened version of an array of dimensions shape. 
+            An integer array whose elements are indices into the flattened version of an array of dimensions shape.
             Before version 1.6.0, this function accepted just one index value.
     shape : tuple of ints
             The shape of the array to use for unraveling indices.
     order : Only row-major is supported currently.
 
     Returns:
-    -------------	
+    -------------
     unraveled_coords : ndarray
             Each row in the ndarray has the same shape as the indices array.
             Each column in the ndarray represents the unravelled index
@@ -7431,4 +7431,4 @@ def unravel_index(indices, shape, order = 'C'):
     >>> np.unravel_index(1621, (6,7,8,9))
     [3, 1, 4, 1]
     """
-    return _mx_nd_np.unravel_index(indices, shape, order = order)
+    return _mx_nd_np.unravel_index(indices, shape, order=order)

python/mxnet/numpy_op_fallback.py

@@ -18,7 +18,6 @@
 """Fallback-to-NumPy operator implementation."""
 
 from __future__ import absolute_import
-from distutils.version import StrictVersion
 import functools
 import ast
 import numpy as np
@@ -83,7 +82,7 @@ def create_operator(self, ctx, in_shapes, in_dtypes):
         return Resize(self._new_shape)
 
 
-@use_np 
+@use_np
 class Unravel_index(operator.CustomOp):
     """Fallback to NumPy Unravel_index operator."""
     def __init__(self, shape):

python/mxnet/symbol/numpy/_symbol.py

@@ -4934,20 +4934,20 @@ def where(condition, x, y):
     return _npi.where(condition, x, y, out=None)
 
 
-def unravel_index(indices, shape, order = 'C'):
+def unravel_index(indices, shape, order='C'): # pylint: disable=redefined-outer-name
     """
     Converts a flat index or array of flat indices into a tuple of coordinate arrays.
 
-    Parameters:	
+    Parameters:
     -------------
     indices : array_like
-            An integer array whose elements are indices into the flattened version of an array of dimensions shape. 
+            An integer array whose elements are indices into the flattened version of an array of dimensions shape.
             Before version 1.6.0, this function accepted just one index value.
     shape : tuple of ints
             The shape of the array to use for unraveling indices.
 
     Returns:
-    -------------	
+    -------------
     unraveled_coords : ndarray
             Each row in the ndarray has the same shape as the indices array.
             Each column in the ndarray represents the unravelled index
@@ -4963,7 +4963,7 @@ def unravel_index(indices, shape, order = 'C'):
     if order == 'C':
         return _npi.unravel_index_fallback(indices, shape=shape)
     else:
-        raise NotImplementedError('Operator unravel_index does not support column-major (Fortran-style) order at this moment')
+        raise NotImplementedError('Don not support column-major (Fortran-style) order at this moment')
 
 
 _set_np_symbol_class(_Symbol)