Source code for mars.tensor.arithmetic.degrees

#!/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
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# 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 TensorUnaryOp
from .utils import arithmetic_operand

class TensorDegrees(TensorUnaryOp):
    _op_type_ = OperandDef.DEGREES
    _func_name = "degrees"

[docs]@infer_dtype(np.degrees) def degrees(x, out=None, where=None, **kwargs): """ Convert angles from radians to degrees. Parameters ---------- x : array_like Input tensor in radians. 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 of floats The corresponding degree values; if `out` was supplied this is a reference to it. See Also -------- rad2deg : equivalent function Examples -------- Convert a radian array to degrees >>> import mars.tensor as mt >>> rad = mt.arange(12.)*mt.pi/6 >>> mt.degrees(rad).execute() array([ 0., 30., 60., 90., 120., 150., 180., 210., 240., 270., 300., 330.]) >>> out = mt.zeros((rad.shape)) >>> r = mt.degrees(out) >>> mt.all(r == out).execute() True """ op = TensorDegrees(**kwargs) return op(x, out=out, where=where)