# Source code for mars.tensor.arithmetic.mod

```
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# Copyright 1999-2021 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 opcodes as OperandDef
from ..utils import infer_dtype
from .core import TensorBinOp
from .utils import arithmetic_operand
@arithmetic_operand(sparse_mode="binary_or")
class TensorMod(TensorBinOp):
_op_type_ = OperandDef.MOD
_func_name = "mod"
[docs]@infer_dtype(np.mod)
def mod(x1, x2, out=None, where=None, **kwargs):
"""
Return element-wise remainder of division.
Computes the remainder complementary to the `floor_divide` function. It is
equivalent to the Python modulus operator``x1 % x2`` and has the same sign
as the divisor `x2`. The MATLAB function equivalent to ``np.remainder``
is ``mod``.
.. warning::
This should not be confused with:
* Python 3.7's `math.remainder` and C's ``remainder``, which
computes the IEEE remainder, which are the complement to
``round(x1 / x2)``.
* The MATLAB ``rem`` function and or the C ``%`` operator which is the
complement to ``int(x1 / x2)``.
Parameters
----------
x1 : array_like
Dividend array.
x2 : array_like
Divisor array.
out : Tensor, None, or tuple of Tensor and None, optional
A location into which the result is stored. If provided, it must have
a shape that the inputs broadcast to. If not provided or `None`,
a freshly-allocated tensor is returned. A tuple (possible only as a
keyword argument) must have length equal to the number of outputs.
where : array_like, optional
Values of True indicate to calculate the ufunc at that position, values
of False indicate to leave the value in the output alone.
**kwargs
Returns
-------
y : Tensor
The element-wise remainder of the quotient ``floor_divide(x1, x2)``.
Returns a scalar if both `x1` and `x2` are scalars.
See Also
--------
floor_divide : Equivalent of Python ``//`` operator.
divmod : Simultaneous floor division and remainder.
fmod : Equivalent of the MATLAB ``rem`` function.
divide, floor
Notes
-----
Returns 0 when `x2` is 0 and both `x1` and `x2` are (tensors of)
integers.
Examples
--------
>>> import mars.tensor as mt
>>> mt.remainder([4, 7], [2, 3]).execute()
array([0, 1])
>>> mt.remainder(mt.arange(7), 5).execute()
array([0, 1, 2, 3, 4, 0, 1])
"""
op = TensorMod(**kwargs)
return op(x1, x2, out=out, where=where)
remainder = mod
@infer_dtype(np.mod, reverse=True)
def rmod(x1, x2, **kwargs):
op = TensorMod(**kwargs)
return op.rcall(x1, x2)
```