def __call__(self):
try:
obs = self.parse_observable()
exp = self.parse_expected()
except IOError as e:
inform("Input/output error when\
checking for observable data: %s" % e)
return False
try:
tolerance = float(self.observable['tolerance'])
except (TypeError, KeyError): # observable can be None
tolerance = 1e-1
are_close, best_tol = ts.compare_arrays((obs, exp), tolerance)
if not are_close:
pretty_obs, pretty_exp = ts.pretty_print_copypaste(obs,exp)
inform("Comparison of \n\
(observed data): %s\n\
and\n\
(expected data): %s\n\
failed against tolerance %g" %
(pretty_obs, pretty_exp, tolerance))
if best_tol:
inform("A better tolerance to try is: ", best_tol, indent=1)
else:
if best_tol and best_tol < tolerance:
inform("Passed, but an even better tolerance might be: %f, as opposed to: %f" % (best_tol, tolerance), indent=3, verbosity=1)
return are_close
def __call__(self):
try:
obs = self.parse_observable()
if obs is None:
inform("Could not determine observed values")
return False
if isinstance(obs, list):
for o in obs:
if not o:
inform("Could not determine observed values")
return False
exp = self.parse_expected()
if exp is None:
inform("Could not determine expected values")
return False
if isinstance(exp, list):
for e in exp:
if not e:
inform("Could not determine expected values")
return False
except IOError as e:
inform("Input/output error when\
checking for observable data: %s" % e)
return False
try:
tolerance = float(self.observable['tolerance'])
except (TypeError, KeyError): # observable can be None
tolerance = 1e-1
are_close, best_tol = ts.compare_arrays((obs, exp), tolerance)
if not are_close:
pretty_obs, pretty_exp = ts.pretty_print_copypaste(obs, exp)
inform("Comparison of \n\
(observed data): %s\n\
and\n\
(expected data): %s\n\
failed against tolerance %g" %
(pretty_obs, pretty_exp, tolerance))
if best_tol:
inform("A better tolerance to try is: ", best_tol, indent=1)
else:
if best_tol and best_tol < tolerance:
inform(
"Passed, but an even better tolerance might be: %f, as opposed to: %f"
% (best_tol, tolerance),
indent=3,
verbosity=1)
return are_close
def __call__(self):
obs = self.parse_observable()
exp = self.parse_expected()
try:
tolerance = float(self.observable['tolerance'])
except (TypeError, KeyError): #observable can be None
tolerance = 1e-1
are_close = ts.compare_arrays((obs, exp), tolerance)
if not are_close:
inform('Comparison of \n%s\nand\n%s\nfailed against tolerance %g'%(obs,exp, tolerance))
return are_close
def __call__(self):
obs = self.parse_observable()
exp = self.parse_expected()
try:
tolerance = float(self.observable['tolerance'])
except (TypeError, KeyError) as e: #observable can be None
tolerance = 1e-1
are_close = ts.compare_arrays((obs, exp), tolerance)
if not are_close:
inform(
'Comparison of \n %s \n and \n %s \n failed against tolerance %g'
% (obs, exp, tolerance))
return are_close
def __call__(self):
try:
obs = self.parse_observable()
exp = self.parse_expected()
except IOError as e:
inform(
"Input/output error when\
checking for observable data: %s"
% e
)
return False
try:
tolerance = float(self.observable["tolerance"])
except (TypeError, KeyError): # observable can be None
tolerance = 1e-1
are_close, best_tol = ts.compare_arrays((obs, exp), tolerance)
if not are_close:
suggest_tol = True
try: # making it easier to copy/paste lists
pretty_obs = [float(el) for el in obs]
pretty_exp = [float(el) for el in exp]
suggest_tol = len(obs) == len(exp)
except TypeError: # obs,exp can be singletons
pretty_obs, pretty_exp = map(float, (obs, exp))
inform(
"Comparison of \n\
(observed data): %s\n\
and\n\
(expected data): %s\n\
failed against tolerance %g"
% (pretty_obs, pretty_exp, tolerance)
)
if suggest_tol:
inform("A better tolerance to try is: ", best_tol, indent=1)
else:
if best_tol < tolerance:
inform(
"Passed, but an even better tolerance might be: %f, as opposed to: %f" % (best_tol, tolerance),
indent=3,
verbosity=1,
)
return are_close
def __call__(self):
try:
obs = self.parse_observable()
exp = self.parse_expected()
except IOError as e:
inform("Input/output error when\
checking for observable data: %s" % e)
return False
try:
tolerance = float(self.observable['tolerance'])
except (TypeError, KeyError): # observable can be None
tolerance = 1e-1
are_close, best_tol = ts.compare_arrays((obs, exp), tolerance)
if not are_close:
suggest_tol = True
try: # making it easier to copy/paste lists
pretty_obs = [float(el) for el in obs]
pretty_exp = [float(el) for el in exp]
suggest_tol = len(obs) == len(exp)
except TypeError: # obs,exp can be singletons
pretty_obs, pretty_exp = map(float, (obs, exp))
inform("Comparison of \n\
(observed data): %s\n\
and\n\
(expected data): %s\n\
failed against tolerance %g" %
(pretty_obs, pretty_exp, tolerance))
if suggest_tol:
inform("A better tolerance to try is: ", best_tol, indent=1)
else:
if best_tol < tolerance:
inform(
"Passed, but an even better tolerance might be: %f, as opposed to: %f"
% (best_tol, tolerance),
indent=3,
verbosity=1)
return are_close