# Copyright 2020 Huawei Technologies Co., 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 sys

import json

import re



if __name__ == '__main__':

    if sys.argv[1].endswith('.json'): # Accuracy

        result_json = sys.argv[1]

        with open(result_json, 'r') as f:

            content = f.read()

        print(content)

    elif sys.argv[1].endswith('.txt'): # Perform

        result_txt = sys.argv[1]

        if 'PureInfer' in result_txt: # Pure Infer

            with open(result_txt, 'r') as f:

                content = f.read()

            txt_data_list = [i.strip() for i in re.findall(r'=(.*?),', content.replace('\n', ',') + ',')]

            fps = float(txt_data_list[0].replace('samples/s', '')) * 4

            print('310 {} fps:{}'.format(result_txt.split('_')[3], fps))

        else: # Infer based on dataset

            with open(result_txt, 'r') as f:

                lines = f.readlines()

            for line in lines:

                if 'infer' in line:

                    txt_data_list = [i.strip() for i in re.findall(r':(.*?),', line.replace('\n', ',') + ',')]

                    fps = float(txt_data_list[1]) * 4

                    print('310 bs{} fps:{}'.format(result_txt.split('_')[3], fps))

                    break