#!/usr/bin/env python # -*- coding: utf-8 -*- # Copyright 1999-2020 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 inject_dtype from .utils import arithmetic_operand from .core import TensorBinOp @arithmetic_operand(sparse_mode='binary_and') class TensorLessThan(TensorBinOp): _op_type_ = OperandDef.LT _func_name = 'less' def __init__(self, casting='same_kind', err=None, dtype=None, sparse=None, **kw): err = err if err is not None else np.geterr() super().__init__(_casting=casting, _err=err, _dtype=dtype, _sparse=sparse, **kw) [docs]@inject_dtype(np.bool_) def less(x1, x2, out=None, where=None, **kwargs): """ Return the truth value of (x1 < x2) element-wise. Parameters ---------- x1, x2 : array_like Input tensors. If ``x1.shape != x2.shape``, they must be broadcastable to a common shape (which may be the shape of one or the other). 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 ------- out : bool or Tensor of bool Array of bools, or a single bool if `x1` and `x2` are scalars. See Also -------- greater, less_equal, greater_equal, equal, not_equal Examples -------- >>> import mars.tensor as mt >>> mt.less([1, 2], [2, 2]).execute() array([ True, False]) """ op = TensorLessThan(**kwargs) return op(x1, x2, out=out, where=where)