text: #!/usr/bin/env python
  # -*- coding: utf-8 -*-
  # Copyright 1999-2018 Alibaba Group Holding Ltd.
  #
  # Licensed under the Apache License, Version 2.0 (the "License");
  # you may not use this file except in compliance with the License.
  # You may obtain a copy of the License at
  #
  #      http://www.apache.org/licenses/LICENSE-2.0
  #
  # Unless required by applicable law or agreed to in writing, software
  # distributed under the License is distributed on an "AS IS" BASIS,
  # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  # See the License for the specific language governing permissions and
  # limitations under the License.
  
  import numpy as np
  
  from .... import operands
  from ..utils import infer_dtype
  from .core import TensorUnaryOp
  from .utils import arithmetic_operand
  
  
  @arithmetic_operand(sparse_mode='unary')
  class TensorFix(operands.Fix, TensorUnaryOp):
      pass
  
  
  @infer_dtype(np.fix)
  def fix(x, out=None, **kwargs):
      """
      Round to nearest integer towards zero.
  
      Round a tensor of floats element-wise to nearest integer towards zero.
      The rounded values are returned as floats.
  
      Parameters
      ----------
      x   : array_like
          An tensor of floats to be rounded
      out : Tensor, optional
          Output tensor
  
      Returns
      -------
      out : Tensor of floats
          The array of rounded numbers
  
      See Also
      --------
      trunc, floor, ceil
      around : Round to given number of decimals
  
      Examples
      --------
      >>> import mars.tensor as mt
  
      >>> mt.fix(3.14).execute()
      3.0
      >>> mt.fix(3).execute()
      3.0
      >>> mt.fix([2.1, 2.9, -2.1, -2.9]).execute()
      array([ 2.,  2., -2., -2.])
  
      """
      op = TensorFix(**kwargs)
      return op(x, out=out)
  