github.com/eth-easl/loader@v0.0.0-20230908084258-8a37e1d94279/tools/trace_synthesizer/generate_test.py (about)

     1  #  MIT License
     2  #
     3  #  Copyright (c) 2023 EASL and the vHive community
     4  #
     5  #  Permission is hereby granted, free of charge, to any person obtaining a copy
     6  #  of this software and associated documentation files (the "Software"), to deal
     7  #  in the Software without restriction, including without limitation the rights
     8  #  to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
     9  #  copies of the Software, and to permit persons to whom the Software is
    10  #  furnished to do so, subject to the following conditions:
    11  #
    12  #  The above copyright notice and this permission notice shall be included in all
    13  #  copies or substantial portions of the Software.
    14  #
    15  #  THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
    16  #  IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
    17  #  FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
    18  #  AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
    19  #  LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
    20  #  OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
    21  #  SOFTWARE.
    22  
    23  import pandas as pd
    24  import unittest
    25  
    26  from synthesizer import generate
    27  
    28  
    29  class Empty:
    30      pass
    31  
    32  
    33  def test_generate():
    34      args = Empty()
    35      args.functions = 2
    36      args.beginning = 10
    37      args.target = 20
    38      args.step = 5
    39      args.duration = 3
    40      args.output = 'test_output'
    41      args.execution = 700
    42      args.memory = 200
    43      inv_df, mem_df, run_df = generate(args)
    44  
    45      assert len(inv_df.index) == args.functions
    46      # number of functions has to equal number of rows
    47      sumInvocations = 0
    48      for i in range(3, 3*args.duration+3):
    49          sumInvocations += inv_df.iloc[:, i].sum()
    50      expectedSum = (600 + 900 + 1200) * 3 * 2
    51      # 3 min per slot, 2 functions
    52      assert sumInvocations == expectedSum
    53      
    54  
    55  if __name__ == '__main__':
    56      test_generate()