diff options
Diffstat (limited to 'bin')
| -rwxr-xr-x | bin/analyze-archive.py | 15 | ||||
| -rwxr-xr-x | bin/analyze-timing.py | 24 |
2 files changed, 0 insertions, 39 deletions
diff --git a/bin/analyze-archive.py b/bin/analyze-archive.py index e9d70f6..80ebd78 100755 --- a/bin/analyze-archive.py +++ b/bin/analyze-archive.py @@ -513,21 +513,6 @@ if __name__ == "__main__": model.stats.param_dependence_ratio(state, "power", param), ) ) - if model.stats.has_codependent_parameters(state, "power", param): - print( - "{:24s} co-dependencies: {:s}".format( - "", - ", ".join( - model.stats.codependent_parameters( - state, "power", param - ) - ), - ) - ) - for param_dict in model.stats.codependent_parameter_value_dicts( - state, "power", param - ): - print("{:24s} parameter-aware for {}".format("", param_dict)) for trans in model.transitions(): # Mean power is not a typical transition attribute, but may be present for debugging or analysis purposes diff --git a/bin/analyze-timing.py b/bin/analyze-timing.py index 6761e7b..e27acbf 100755 --- a/bin/analyze-timing.py +++ b/bin/analyze-timing.py @@ -307,30 +307,6 @@ if __name__ == "__main__": model.stats.param_dependence_ratio(trans, "duration", param), ) ) - if model.stats.has_codependent_parameters(trans, "duration", param): - print( - "{:24s} co-dependencies: {:s}".format( - "", - ", ".join( - model.stats.codependent_parameters( - trans, "duration", param - ) - ), - ) - ) - for param_dict in model.stats.codependent_parameter_value_dicts( - trans, "duration", param - ): - print("{:24s} parameter-aware for {}".format("", param_dict)) - # import numpy as np - # safe_div = np.vectorize(lambda x,y: 0. if x == 0 else 1 - x/y) - # ratio_by_value = safe_div(model.stats.stats['write']['duration']['lut_by_param_values']['max_retry_count'], model.stats.stats['write']['duration']['std_by_param_values']['max_retry_count']) - # err_mode = np.seterr('warn') - # dep_by_value = ratio_by_value > 0.5 - # np.seterr(**err_mode) - # Eigentlich sollte hier ein paar mal True stehen, ist aber nicht so... - # und warum ist da eine non-power-of-two Zahl von True-Einträgen in der Matrix? 3 stück ist komisch... - # print(dep_by_value) if xv_method == "montecarlo": static_quality = xv.montecarlo(lambda m: m.get_static(), xv_count) |