# Copyright 2018-present, Facebook, Inc.
#
# 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.

from __future__ import absolute_import
from __future__ import division
from __future__ import print_function

import numpy as np


def accuracy_metric(softmax, label, k=5):
    sorted_preds = np.argsort(softmax)
    sorted_preds[:] = sorted_preds[::-1]
    c1 = sorted_preds[0] == label
    c5 = label in sorted_preds[0:k]
    return c1, c5
