diff options
Diffstat (limited to 'bin/analyze-archive.py')
| -rwxr-xr-x | bin/analyze-archive.py | 147 |
1 files changed, 3 insertions, 144 deletions
diff --git a/bin/analyze-archive.py b/bin/analyze-archive.py index 723ea9b..d939c44 100755 --- a/bin/analyze-archive.py +++ b/bin/analyze-archive.py @@ -106,133 +106,6 @@ def model_summary_table(result_list): print(buf) -def print_html_model_data(raw_data, model, pm, pq, lm, lq, am, ai, aq): - state_attributes = model.attributes(model.states[0]) - trans_attributes = model.attributes(model.transitions[0]) - - print("# Setup") - print("* Input files: `", " ".join(raw_data.filenames), "`") - print( - f"""* Number of usable / performed measurements: {raw_data.preprocessing_stats["num_valid"]}/{raw_data.preprocessing_stats["num_runs"]}""" - ) - print(f"""* State duration: {raw_data.setup_by_fileno[0]["state_duration"]} ms""") - print() - print("# States") - - for state in model.states: - print() - print(f"## {state}") - print() - for param in model.parameters: - print( - "* {} ∈ {}".format( - param, - model.attr_by_name[state][ - "power" - ].stats.distinct_values_by_param_name[param], - ) - ) - for attribute in state_attributes: - unit = "" - if attribute == "power": - unit = "µW" - static_quality = pq[state][attribute]["smape"] - print( - f"* {attribute} mean: {pm(state, attribute):.0f} {unit} (± {static_quality:.1f}%)" - ) - if ai(state, attribute): - analytic_quality = aq[state][attribute]["smape"] - fstr = ai(state, attribute)["function"].model_function - fstr = fstr.replace("0 + ", "", 1) - for i, marg in enumerate(ai(state, attribute)["function"].model_args): - fstr = fstr.replace(f"regression_arg({i})", str(marg)) - fstr = fstr.replace("+ -", "-") - print(f"* {attribute} function: {fstr} (± {analytic_quality:.1f}%)") - - print() - print("# Transitions") - - for trans in model.transitions: - print() - print(f"## {trans}") - print() - for param in model.parameters: - print( - "* {} ∈ {}".format( - param, - model.attr_by_name[trans][ - "duration" - ].stats.distinct_values_by_param_name[param], - ) - ) - for attribute in trans_attributes: - unit = "" - if attribute == "duration": - unit = "µs" - elif attribute in ["energy", "rel_energy_prev"]: - unit = "pJ" - static_quality = pq[trans][attribute]["smape"] - print( - f"* {attribute} mean: {pm(trans, attribute):.0f} {unit} (± {static_quality:.1f}%)" - ) - if ai(trans, attribute): - analytic_quality = aq[trans][attribute]["smape"] - fstr = ai(trans, attribute)["function"].model_function - fstr = fstr.replace("0 + ", "", 1) - for i, marg in enumerate(ai(trans, attribute)["function"].model_args): - fstr = fstr.replace(f"regression_arg({i})", str(marg)) - fstr = fstr.replace("+ -", "-") - print(f"* {attribute} function: {fstr} (± {analytic_quality:.1f}%)") - - print( - "<table><tr><th>state</th><th>" - + "</th><th>".join(state_attributes) - + "</th></tr>" - ) - for state in model.states: - print("<tr>", end="") - print("<td>{}</td>".format(state), end="") - for attribute in state_attributes: - unit = "" - if attribute == "power": - unit = "µW" - print( - "<td>{:.0f} {} ({:.1f}%)</td>".format( - pm(state, attribute), unit, pq[state][attribute]["smape"] - ), - end="", - ) - print("</tr>") - print("</table>") - - trans_attributes = model.attributes(model.transitions[0]) - if "rel_energy_prev" in trans_attributes: - trans_attributes.remove("rel_energy_next") - - print( - "<table><tr><th>transition</th><th>" - + "</th><th>".join(trans_attributes) - + "</th></tr>" - ) - for trans in model.transitions: - print("<tr>", end="") - print("<td>{}</td>".format(trans), end="") - for attribute in trans_attributes: - unit = "" - if attribute == "duration": - unit = "µs" - elif attribute in ["energy", "rel_energy_prev"]: - unit = "pJ" - print( - "<td>{:.0f} {} ({:.1f}%)</td>".format( - pm(trans, attribute), unit, pq[trans][attribute]["smape"] - ), - end="", - ) - print("</tr>") - print("</table>") - - def get_kconfig(model): buf = str() for param_name in model.parameters: @@ -351,18 +224,17 @@ if __name__ == "__main__": ) parser.add_argument( "--show-models", - choices=["static", "paramdetection", "param", "all", "html"], + choices=["static", "paramdetection", "param", "all"], action="append", default=list(), help="static: show static model values as well as parameter detection heuristic.\n" "paramdetection: show stddev of static/lut/fitted model\n" "param: show parameterized model functions and regression variable values\n" - "all: all of the above\n" - "html: print model and quality data as HTML table on stdout", + "all: all of the above", ) parser.add_argument( "--show-quality", - choices=["table", "summary", "all", "tex", "html"], + choices=["table", "summary", "all", "tex"], action="append", default=list(), help="table: show static/fitted/lut SMAPE and MAE for each name and attribute.\n" @@ -898,19 +770,6 @@ if __name__ == "__main__": analytic_quality = model.assess(param_model) xv_analytic_models = None - if "html" in show_models or "html" in show_quality: - print_html_model_data( - raw_data, - model, - static_model, - static_quality, - lut_model, - lut_quality, - param_model, - param_info, - analytic_quality, - ) - if "table" in show_quality or "all" in show_quality: dfatool.cli.model_quality_table( ["static", "parameterized", "LUT"], |