def interpret_arguments(wave, points, arguments):
# N
try:
N = int(arguments['N'])
if N < 0:
raise ValueError
except:
raise InvalidArgumentError("Invalid filter order "
"{}".format(arguments['N']))
# btype
if (arguments['btype']
not in ['lowpass', 'highpass', 'bandpass', 'bandstop']):
raise InvalidArgumentError("Invalid filter type "
"{}".format(arguments['btype']))
btype = arguments['btype']
# Wn
try:
Wn = []
if btype in ['bandpass', 'bandstop']:
Wn_strings = arguments['Wn'].split(',')
Wn = np.array([float(string) for string in Wn_strings])
else:
Wn = float(arguments['Wn'])
except:
raise InvalidArgumentError("Invalid cutoff frequency for this type"
"{}".format(arguments['Wn']))
if type(Wn) == float:
_testvals = [Wn]
else:
_testvals = Wn
if any(val > wave.sample_rate / 2 for val in _testvals):
raise InvalidArgumentError("Cutoff frequency may not be greater than "
"half of waveform's sample rate.")
return {'N': N, 'Wn': Wn, 'btype': btype}
def execute(waves, points, begin_time, end_time, arguments):
"""Sprawdza poprawność argumentów i wykonuje procedurę."""
valid, error_message = validate_arguments(waves, points, arguments)
if not valid:
raise InvalidArgumentError(error_message)
arguments = interpret_arguments(arguments)
return procedure(waves, points, begin_time, end_time, arguments)
def interpret_arguments(wave, points, arguments):
"Sprawdza, czy podane argumenty są poprawne."
#a
try:
a = float(arguments['a'])
except:
InvalidArgumentError("Invalid filter order "
"{}".format(arguments['a']))
#b
try:
b = float(arguments['b'])
except:
raise InvalidArgumentError("Invalid filter order "
"{}".format(arguments['b']))
return {'a': a, 'b': b}
def interpret_arguments(waves, points, arguments):
output_arguments = {}
for key, item in arguments.items():
try:
output_arguments[key] = float(item)
except:
raise InvalidArgumentError("{} is invalid.".format(arguments[key]))
return output_arguments
def interpret_arguments(waves, points, arguments):
output_arguments = {}
for key, item in arguments.items():
if (item != '+' and item != '-' and item != '*' and item != 'sqr'
and item != '/'):
raise InvalidArgumentError("{} is invalid.".format(arguments[key]))
else:
output_arguments[key] = item
return output_arguments
def interpret_arguments(wave, points, arguments):
"Sprawdza, czy podane argumenty są poprawne."
#a
try:
a = int(arguments['Sample count'])
except:
raise InvalidArgumentError("Invalid filter order "
"{}".format(arguments['Ilość próbek']))
return {'Sample count': a}
def interpret_arguments(waves, points, arguments):
# net
try:
net = pickle.load(open(arguments['net'], 'rb'))
except:
raise InvalidArgumentError("Invalid neural net file")
# focus_range
try:
focus_range = [
float(string) for string in arguments['focus_range'].split(',')
]
except:
raise InvalidArgumentError("Invalid focus range")
if len(focus_range) != 2:
raise InvalidArgumentError("Invalid number of focus range values")
try:
test_every = float(arguments['test_every'])
except:
raise InvalidArgumentError("Invalid `test_every` value")
return {'net': net, 'focus_range': focus_range, 'test_every': test_every}
def interpret_arguments(wave, points, arguments):
"Sprawdza, czy podane argumenty są poprawne."
#u
try:
u = float(arguments['u'])
except:
InvalidArgumentError("Invalid filter order "
"{}".format(arguments['u']))
return {
'u': u,
}
