def test_text_init(self):
"Test the Diagnostic object creation from text"
# 1. Create Diagnostic object from text
myobj = diagnostic.Diagnostic(text=aoc_03.from_text(EXAMPLE_TEXT))
# 2. Make sure it has the expected values
self.assertEqual(myobj.part2, False)
self.assertEqual(len(myobj.text), 12)
# 3. Check methods
self.assertEqual(myobj.get_bits(), 22)
self.assertEqual(myobj.get_bits(False), 9)
self.assertEqual(myobj.most(myobj.text, 0), '1')
self.assertEqual(myobj.most(myobj.text, 1), '0')
self.assertEqual(myobj.most(myobj.text, 2), '1')
self.assertEqual(myobj.most(myobj.text, 3), '1')
self.assertEqual(myobj.most(myobj.text, 4), '0')
self.assertEqual(myobj.handle_ties('0', '1'), '0')
self.assertEqual(myobj.handle_ties('=', '1'), '1')
self.assertEqual(myobj.handle_ties('1', '1'), '1')
self.assertEqual(len(myobj.keep(myobj.text, '1', 0)), 7)
self.assertEqual(len(myobj.keep(myobj.text, '0', 0)), 5)
self.assertEqual(myobj.keep_one(), 23)
self.assertEqual(myobj.keep_one(False), 10)
def diagnose(self, interval):
"""Perform the diagnostic and return it"""
v_resident_mean = self.mm.get_reduced_metric('memory', 'resident',
('mean', ), interval)
v_committed_mean = self.mm.get_reduced_metric('memory', 'committed',
('mean', ), interval)
diag = diagnostic.Diagnostic(diagnoser='pfitscher_memory',
resource='memory')
if v_resident_mean is None or v_committed_mean is None:
diag.diagnostic = None
elif v_resident_mean < self.t_resident_low\
and v_committed_mean < self.t_committed_relevant:
diag.diagnostic = diagnostic.OVER
elif (v_resident_mean >= self.t_resident_low
and v_committed_mean >= self.t_committed_relevant)\
or (v_resident_mean >= self.t_resident_high
and v_committed_mean < self.t_committed_relevant):
diag.diagnostic = diagnostic.UNDER
else:
diag.diagnostic = diagnostic.CORRECT
if diag.diagnostic is not None:
diag.info = self.make_info(v_resident_mean, v_committed_mean)
return diag
def diagnose(self, interval):
"""Perform the diagnostic and return it"""
v_queue_mean = self.mm.get_reduced_metric('network', 'queue',
('mean', ), interval)
v_tr_stdev = self.mm.get_reduced_metric('network', 'transmission_rate',
('stdev', ), interval)
v_tr_mean = self.mm.get_reduced_metric('network', 'transmission_rate',
('mean', ), interval)
if v_tr_stdev is not None and v_tr_mean is not None:
if v_tr_mean != 0.0:
v_tr_cv = v_tr_stdev / v_tr_mean
else:
v_tr_cv = float('inf')
else:
v_tr_cv = None
diag = diagnostic.Diagnostic(diagnoser='pfitscher_network',
resource='network')
if v_queue_mean is None or v_tr_cv is None:
diag.diagnostic = None
elif v_queue_mean > self.t_queue_high:
diag.diagnostic = diagnostic.UNDER
elif v_tr_cv > self.t_tr_high:
diag.diagnostic = diagnostic.OVER
else:
diag.diagnostic = diagnostic.CORRECT
if diag.diagnostic is not None:
diag.info = self.make_info(v_queue_mean, v_tr_cv)
return diag
def diagnose(self, interval):
"""Perform the diagnostic and return it"""
v_inuse_mean = self.mm.get_reduced_metric('cpu',
'inuse',
('mean', ),
interval)
v_inuse_over = self.mm.get_reduced_metric('cpu',
'inuse',
('over',95.0),
interval)
v_steal_mean = self.mm.get_reduced_metric('cpu',
'steal',
('mean', ),
interval)
diag = diagnostic.Diagnostic(diagnoser='pfitscher_cpu',
resource='cpu')
if v_inuse_mean is None or v_steal_mean is None:
diag.diagnostic = None
elif v_steal_mean >= self.t_steal_high \
or v_inuse_mean >= self.t_inuse_high:
diag.diagnostic = diagnostic.UNDER
elif v_inuse_mean < self.t_inuse_low \
and v_inuse_over <= self.t_inuse_saturated:
diag.diagnostic = diagnostic.OVER
else:
diag.diagnostic = diagnostic.CORRECT
if diag.diagnostic is not None:
diag.info = self.make_info(v_inuse_mean, v_inuse_over, v_steal_mean)
return diag
def test_part_one(self):
"Test part one example of Diagnostic object"
# 1. Create Diagnostic object from text
myobj = diagnostic.Diagnostic(text=aoc_03.from_text(PART_ONE_TEXT))
# 2. Check the part one result
self.assertEqual(myobj.part_one(verbose=False), PART_ONE_RESULT)
def test_empty_init(self):
"Test the default Diagnostic creation"
# 1. Create default Diagnostic object
myobj = diagnostic.Diagnostic()
# 2. Make sure it has the default values
self.assertEqual(myobj.part2, False)
self.assertEqual(myobj.text, None)
def test_part_two(self):
"Test part two example of Diagnostic object"
# 1. Create Diagnostic object from text
myobj = diagnostic.Diagnostic(part2=True,
text=aoc_03.from_text(PART_TWO_TEXT))
# 2. Check the part two result
self.assertEqual(myobj.part_two(verbose=False), PART_TWO_RESULT)
def part_two(args, input_lines):
"Process part two of the puzzle"
# 1. Create the puzzle solver
solver = diagnostic.Diagnostic(part2=True, text=input_lines)
# 2. Determine the solution for part two
solution = solver.part_two(verbose=args.verbose, limit=args.limit)
if solution is None:
print("There is no solution")
else:
print("The solution for part two is %s" % (solution))
# 3. Return result
return solution is not None
os.chdir(os.path.dirname(wd_dir))
choice=input('Use DeCoSTAR (y/N)? ')
if choice=='y':
print(path + "/DeCoSTAR parameter.file="+parameter_file)
f= path + "/DeCoSTAR parameter.file="+parameter_file
subprocess.call(f, shell=True)
####################################################
#####
print("Diagnostic in process ...")
diag=diagnostic.Diagnostic(parameter_file)
diag.build_ancestral()
print(diag.anc)
output=input(' Output cycles (y/N)? ').strip()
if output=="y":
diag.output_cycles()
## Zip
ziprep=input('Zip families (y/N)? ').strip()
if ziprep=="y":
fix=fix_bubbles.Fix_bubbles(diag)