theano/tensor/sort.py
def argsort(a, axis=-1, kind='quicksort', order=None):
    """
    Returns the indices that would sort an array.

    Perform an indirect sort along the given axis using the algorithm
    specified by the kind keyword.  It returns an array of indices of
    the same shape as a that index data along the given axis in sorted
    order.

    """
    if axis is None:
        a = a.flatten()
        axis = 0
    return ArgSortOp(kind, order)(a, axis)

    Returns the indices that would sort an array.

    Perform an indirect sort along the given axis using the algorithm
    specified by the kind keyword.  It returns an array of indices of
    the same shape as a that index data along the given axis in sorted
    order.

    
Returns the indices that would sort an array.
Perform an indirect sort along the given axis using the algorithm
specified by the kind keyword.  It returns an array of indices of
the same shape as a that index data along the given axis in sorted
order.
Returns the indices that would sort an array . Perform an indirect sort along the given axis using the algorithm specified by the kind keyword . It returns an array of indices of the same shape as a that index data along the given axis in sorted order .
def argsort(a, axis=-1, kind='quicksort', order=None):
    if axis is None:
        a = a.flatten()
        axis = 0
    return ArgSortOp(kind, order)(a, axis)
def argsort ( a , axis = - 1 , kind = 'quicksort' , order = None ) : if axis is None : a = a . flatten ( ) axis = 0 return ArgSortOp ( kind , order ) ( a , axis )
Returns the indices that would sort an array.
Returns the indices that would sort an array .
"""
    Returns the indices that would sort an array.

    Perform an indirect sort along the given axis using the algorithm
    specified by the kind keyword.  It returns an array of indices of
    the same shape as a that index data along the given axis in sorted
    order.

    """
a
axis
kind
order