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-rwxr-xr-xbin/analyze-archive.py49
1 files changed, 37 insertions, 12 deletions
diff --git a/bin/analyze-archive.py b/bin/analyze-archive.py
index 0882883..9a8c416 100755
--- a/bin/analyze-archive.py
+++ b/bin/analyze-archive.py
@@ -37,15 +37,33 @@ def model_quality_table(result_lists, info_list):
buf += '{:6}----{:9}'.format('', '')
print(buf)
+def print_text_model_data(model, pm, pq, lm, lq, am, ai, aq):
+ print('')
+ print(r'key attribute $1 - \frac{\sigma_X}{...}$')
+ for state_or_tran in model.by_name.keys():
+ for attribute in model.by_name[state_or_tran]['attributes']:
+ print('{} {} {:.8f}'.format(state_or_tran, attribute, model.generic_param_dependence_ratio(state_or_tran, attribute)))
+
+ print('')
+ print(r'key attribute parameter $1 - \frac{...}{...}$')
+ for state_or_tran in model.by_name.keys():
+ for attribute in model.by_name[state_or_tran]['attributes']:
+ for param in model.parameters():
+ print('{} {} {} {:.8f}'.format(state_or_tran, attribute, param, model.param_dependence_ratio(state_or_tran, attribute, param)))
+ if state_or_tran in model._num_args:
+ for arg_index in range(model._num_args[state_or_tran]):
+ print('{} {} {:d} {:.8f}'.format(state_or_tran, attribute, arg_index, model.arg_dependence_ratio(state_or_tran, attribute, arg_index)))
+
if __name__ == '__main__':
ignored_trace_indexes = None
discard_outliers = None
+ tex_output = False
function_override = {}
try:
raw_opts, args = getopt.getopt(sys.argv[1:], "",
- 'plot ignored-trace-indexes= discard-outliers= function-override='.split(' '))
+ 'plot ignored-trace-indexes= discard-outliers= function-override= tex-output'.split(' '))
for option, parameter in raw_opts:
optname = re.sub(r'^--', '', option)
@@ -64,6 +82,9 @@ if __name__ == '__main__':
state_or_tran, attribute, *function_str = function_desc.split(' ')
function_override[(state_or_tran, attribute)] = ' '.join(function_str)
+ if 'tex-output' in opts:
+ tex_output = True
+
except getopt.GetoptError as err:
print(err)
sys.exit(2)
@@ -105,17 +126,21 @@ if __name__ == '__main__':
print('--- param model ---')
param_model, param_info = model.get_fitted()
- for state in model.states():
- for attribute in ['power']:
- if param_info(state, attribute):
- print('{:10s}: {}'.format(state, param_info(state, attribute)['function']._model_str))
- print('{:10s} {}'.format('', param_info(state, attribute)['function']._regression_args))
- for trans in model.transitions():
- for attribute in ['energy', 'rel_energy_prev', 'rel_energy_next', 'duration', 'timeout']:
- if param_info(trans, attribute):
- print('{:10s}: {:10s}: {}'.format(trans, attribute, param_info(trans, attribute)['function']._model_str))
- print('{:10s} {:10s} {}'.format('', '', param_info(trans, attribute)['function']._regression_args))
+ if not tex_output:
+ for state in model.states():
+ for attribute in ['power']:
+ if param_info(state, attribute):
+ print('{:10s}: {}'.format(state, param_info(state, attribute)['function']._model_str))
+ print('{:10s} {}'.format('', param_info(state, attribute)['function']._regression_args))
+ for trans in model.transitions():
+ for attribute in ['energy', 'rel_energy_prev', 'rel_energy_next', 'duration', 'timeout']:
+ if param_info(trans, attribute):
+ print('{:10s}: {:10s}: {}'.format(trans, attribute, param_info(trans, attribute)['function']._model_str))
+ print('{:10s} {:10s} {}'.format('', '', param_info(trans, attribute)['function']._regression_args))
analytic_quality = model.assess(param_model)
- model_quality_table([static_quality, analytic_quality, lut_quality], [None, param_info, None])
+ if tex_output:
+ print_text_model_data(model, static_model, static_quality, lut_model, lut_quality, param_model, param_info, analytic_quality)
+ else:
+ model_quality_table([static_quality, analytic_quality, lut_quality], [None, param_info, None])
sys.exit(0)