def derive(self,
src_1=P('Latitude (1)'),
src_2=P('Latitude (2)'),
src_3=P('Latitude (3)')):
sources = [
source for source in [src_1, src_2, src_3] if source is not None \
and np.count_nonzero(source.array) > len(source.array)/2
]
if len(sources) == 1:
self.offset = sources[0].offset
self.frequency = sources[0].frequency
self.array = sources[0].array
elif len(sources) == 2:
self.array, self.frequency, self.offset = blend_two_parameters(
sources[0], sources[1]
)
elif len(sources) > 2:
self.offset = 0.0
self.frequency = 1.0
self.array = blend_parameters(sources, offset=self.offset,
frequency=self.frequency)
def derive(self,
src_1=P('Latitude (1)'),
src_2=P('Latitude (2)'),
src_3=P('Latitude (3)')):
sources = [
deepcopy(source) for source in [src_1, src_2, src_3] if source is not None \
and np.count_nonzero(np.ma.compressed(source.array)) > len(source.array)/2
]
for source in sources:
source.array = repair_mask(source.array)
if len(sources) == 1:
self.offset = sources[0].offset
self.frequency = sources[0].frequency
self.array = sources[0].array
elif len(sources) == 2:
self.array, self.frequency, self.offset = blend_two_parameters(
sources[0], sources[1])
elif len(sources) > 2:
self.offset = 0.0
self.frequency = 1.0
self.array = blend_parameters(sources,
offset=self.offset,
frequency=self.frequency)
else:
self.array = np_ma_masked_zeros_like(src_1.array)
def derive(self,
src_1=P('Latitude (1)'),
src_2=P('Latitude (2)'),
src_3=P('Latitude (3)')):
sources = [
source for source in [src_1, src_2, src_3] if source is not None
and np.count_nonzero(source.array) > len(source.array) / 2
]
if len(sources) == 1:
self.offset = sources[0].offset
self.frequency = sources[0].frequency
self.array = sources[0].array
elif len(sources) == 2:
self.array, self.frequency, self.offset = blend_two_parameters(
sources[0], sources[1])
elif len(sources) > 2:
self.offset = 0.0
self.frequency = 1.0
self.array = blend_parameters(sources,
offset=self.offset,
frequency=self.frequency)
def derive(self,
src_1=P('Longitude (1)'),
src_2=P('Longitude (2)'),
src_3=P('Longitude (3)')):
sources = [
source for source in [src_1, src_2, src_3] if source is not None \
and np.count_nonzero(source.array) > len(source.array)/2
]
if len(sources) > 1:
for source in sources:
source.array = repair_mask(
straighten_longitude(source.array) + 180.0
)
if len(sources) == 1:
self.offset = sources[0].offset
self.frequency = sources[0].frequency
self.array = sources[0].array
elif len(sources) == 2:
blended, self.frequency, self.offset = blend_two_parameters(
sources[0], sources[1]
)
self.array = blended % 360 - 180.0
elif len(sources) > 2:
self.offset = 0.0
self.frequency = 1.0
blended = blend_parameters(sources, offset=self.offset,
frequency=self.frequency)
self.array = blended % 360 - 180.0
def derive(self,
src_1=P('Longitude (1)'),
src_2=P('Longitude (2)'),
src_3=P('Longitude (3)')):
sources = [
source for source in [src_1, src_2, src_3] if source is not None \
and np.count_nonzero(source.array) > len(source.array)/2
]
if len(sources) > 1:
for source in sources:
source.array = repair_mask(
straighten_longitude(source.array) + 180.0)
if len(sources) == 1:
self.offset = sources[0].offset
self.frequency = sources[0].frequency
self.array = sources[0].array
elif len(sources) == 2:
blended, self.frequency, self.offset = blend_two_parameters(
sources[0], sources[1])
self.array = blended % 360 - 180.0
elif len(sources) > 2:
self.offset = 0.0
self.frequency = 1.0
blended = blend_parameters(sources,
offset=self.offset,
frequency=self.frequency)
self.array = blended % 360 - 180.0
else:
self.array = np_ma_masked_zeros_like(src_1.array)
def derive(
self,
# aeroplane
source_A=P('Groundspeed (1)'),
source_B=P('Groundspeed (2)')):
self.array, self.frequency, self.offset = blend_two_parameters(
source_A, source_B)
def derive(self,
# aeroplane
source_A=P('Groundspeed (1)'),
source_B=P('Groundspeed (2)')):
self.array, self.frequency, self.offset = blend_two_parameters(
source_A, source_B
)
def derive(self,
capt=P('Tail Rotor Pedal (1)'),
fo=P('Tail Rotor Pedal (2)')):
self.array, self.frequency, self.offset = blend_two_parameters(
capt, fo)
def derive(self, p1=P('Nr (1)'), p2=P('Nr (2)')):
self.array, self.frequency, self.offset = \
blend_two_parameters(p1, p2)
def derive(self, p1=P('MGB Oil Press (1)'), p2=P('MGB Oil Press (2)')):
self.array, self.frequency, self.offset = blend_two_parameters(p1, p2)
def derive(self, t1=P('MGB Oil Temp (1)'), t2=P('MGB Oil Temp (2)')):
self.array, self.frequency, self.offset = \
blend_two_parameters(t1, t2)
def derive(self, capt=P('Cyclic Lateral (1)'), fo=P('Cyclic Lateral (2)')):
self.array, self.frequency, self.offset = blend_two_parameters(
capt, fo)
def derive(self, capt=P('Collective (1)'), fo=P('Collective (2)')):
self.array, self.frequency, self.offset = blend_two_parameters(
capt, fo)
def derive(self,
capt=P('Tail Rotor Pedal (1)'),
fo=P('Tail Rotor Pedal (2)')):
self.array, self.frequency, self.offset = blend_two_parameters(capt, fo)
def derive(self, p1=P('Nr (1)'), p2=P('Nr (2)')):
self.array, self.frequency, self.offset = \
blend_two_parameters(p1, p2)
def derive(self, p1=P('MGB Oil Press (1)'), p2=P('MGB Oil Press (2)')):
self.array, self.frequency, self.offset = blend_two_parameters(p1, p2)
def derive(self, t1=P('MGB Oil Temp (1)'), t2=P('MGB Oil Temp (2)')):
self.array, self.frequency, self.offset = \
blend_two_parameters(t1, t2)
def derive(self,
capt=P('Cyclic Lateral (1)'),
fo=P('Cyclic Lateral (2)')):
self.array, self.frequency, self.offset = blend_two_parameters(capt, fo)
def derive(self,
capt=P('Collective (1)'),
fo=P('Collective (2)')):
self.array, self.frequency, self.offset = blend_two_parameters(capt, fo)
