#!/usr/bin/env python3 # MIT License # # Copyright (c) 2023-2025 Advanced Micro Devices, Inc. All rights reserved. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in all # copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE # SOFTWARE. import itertools import sys import pytest import numpy as np import pandas as pd # ===================== validation common for both host-trap and stochastic sampling def test_multi_agent_support( input_samples_csv: pd.DataFrame, input_kernel_trace_csv: pd.DataFrame, input_agent_info_csv: pd.DataFrame, ): from rocprofiler_sdk.pc_sampling.transpose_multiple_agents.csv import ( validate_all_agents_are_sampled, ) validate_all_agents_are_sampled( input_samples_csv, input_kernel_trace_csv, input_agent_info_csv ) # =================== validation specific to stochastic sampling def test_validate_pc_sampling_stochastic_specific_csv(input_samples_csv: pd.DataFrame): from rocprofiler_sdk.pc_sampling.stochastic.csv.gfx9 import ( validate_stochastic_samples_csv, ) validate_stochastic_samples_csv(input_samples_csv) def test_validate_pc_sampling_stochastic_specific_json(input_samples_json): from rocprofiler_sdk.pc_sampling.stochastic.json.gfx9 import ( validate_stochastic_samples_json, ) validate_stochastic_samples_json(input_samples_json["rocprofiler-sdk-tool"]) if __name__ == "__main__": exit_code = pytest.main(["-x", __file__] + sys.argv[1:]) sys.exit(exit_code)