# Licensed to the Apache Software Foundation (ASF) under one # or more contributor license agreements. See the NOTICE file # distributed with this work for additional information # regarding copyright ownership. The ASF licenses this file # to you 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. from numpy import isclose import random from tvm.autotvm import utils SI_PREFIXES = "yzafpn\xb5m kMGTPEZY" def test_format_si_prefix(): # test float conversion assert utils.format_si_prefix(1024, "k") == 1.024 for i, prefix in enumerate(SI_PREFIXES): integer, decimal = random.randint(0, 1000), random.randint(0, 1000) exp = -24 + 3 * i # 0th prefix (yocto) is 10^-24 number = integer * (10 ** exp) + decimal * (10 ** (exp - 3)) expected = integer + decimal / 1000 assert isclose(utils.format_si_prefix(number, prefix), expected) assert utils.format_si_prefix(0, "y") == 0 if __name__ == "__main__": test_format_si_prefix()