def test_repeated_scalar_to_list(self):
repeated_composite = self.simple_mic_packet.metadata
as_list = reader_utils.repeated_to_list(repeated_composite)
self.assertEqual(type(as_list), list)
self.assertEqual(len(repeated_composite), len(as_list))
for i in range(len(repeated_composite)):
self.assertEqual(repeated_composite[i], as_list[i])
def test_repeated_composite_to_list(self):
repeated_composite = self.simple_mic_packet.evenly_sampled_channels
as_list = reader_utils.repeated_to_list(repeated_composite)
self.assertEqual(type(as_list), list)
self.assertEqual(len(repeated_composite), len(as_list))
for i in range(len(repeated_composite)):
self.assertEqual(repeated_composite[i], as_list[i])
def set_metadata(self, data: typing.List[str]):
"""
sets the metadata
:param data: metadata as list of strings
"""
del self.protobuf_channel.metadata[:]
for meta in data:
self.protobuf_channel.metadata.append(meta)
self.metadata = reader_utils.repeated_to_list(
self.protobuf_channel.metadata)
def set_channel(self,
channel: typing.Union[api900_pb2.EvenlySampledChannel,
api900_pb2.UnevenlySampledChannel]):
"""
Sets the protobuf channel
:param channel: protobuf channel
"""
self.protobuf_channel = channel
self.sensor_name = channel.sensor_name
self.channel_types = reader_utils.repeated_to_list(
channel.channel_types)
self.payload = reader_utils.extract_payload(channel)
self.metadata = reader_utils.repeated_to_list(channel.metadata)
self.value_means = reader_utils.repeated_to_array(channel.value_means)
self.value_stds = reader_utils.repeated_to_array(channel.value_stds)
self.value_medians = reader_utils.repeated_to_array(
channel.value_medians)
self.channel_type_index = {
self.channel_types[i]: i
for i in range(len(self.channel_types))
}
def set_channel_types(
self,
types: typing.List[typing.Union[api900_pb2.EvenlySampledChannel,
api900_pb2.UnevenlySampledChannel]]):
"""
sets the channel_types to the list given
:param types: a list of channel types
"""
del self.protobuf_channel.channel_types[:]
for ctype in types:
self.protobuf_channel.channel_types.append(ctype)
self.channel_types = reader_utils.repeated_to_list(
self.protobuf_channel.channel_types)
self.channel_type_index = {
self.channel_types[i]: i
for i in range(len(self.channel_types))
}
def __init__(self,
channel: typing.Optional[
typing.Union[api900_pb2.EvenlySampledChannel,
api900_pb2.UnevenlySampledChannel]] = None):
"""
Initializes this interleaved channel object.
:param channel: Either a protobuf evenly or unevenly sampled channel.
note: value_means, value_medians, value_stds, and channel_type_index are only set during initialization or
when payload is altered
payload should only be altered by set_payload or set_deinterleaved_payload due to the extra data values that are
required to correctly set the protobuf_channel
"""
if channel is None:
self.protobuf_channel = None
self.sensor_name = None
self.channel_types = [0]
self.payload = [0]
self.metadata = []
self.value_means = []
self.value_stds = []
self.value_medians = []
self.channel_type_index = []
else:
self.protobuf_channel: typing.Union[
api900_pb2.EvenlySampledChannel,
api900_pb2.UnevenlySampledChannel] = channel
"""Reference to the original protobuf channel"""
self.sensor_name: str = channel.sensor_name
"""Provided sensor name"""
self.channel_types: typing.List[typing.Union[
api900_pb2.EvenlySampledChannel, api900_pb2.
UnevenlySampledChannel]] = reader_utils.repeated_to_list(
channel.channel_types)
"""List of channel type constant enumerations"""
self.payload: numpy.ndarray = reader_utils.extract_payload(channel)
"""This channels payload as a numpy array of either floats or ints"""
self.metadata: typing.List[str] = reader_utils.repeated_to_list(
channel.metadata)
"""This channels list of metadata"""
self.value_means: numpy.ndarray = reader_utils.repeated_to_array(
channel.value_means)
"""Interleaved array of mean values"""
self.value_stds: numpy.ndarray = reader_utils.repeated_to_array(
channel.value_stds)
"""Interleaved array of standard deviations of values"""
self.value_medians: numpy.ndarray = reader_utils.repeated_to_array(
channel.value_medians)
"""Interleaves array of median values"""
self.channel_type_index: typing.Dict[
api900_pb2.ChannelType, int] = {
self.channel_types[i]: i
for i in range(len(self.channel_types))
}
"""Contains a mapping of channel type to index in channel_types array"""
def test_repeated_scalar_to_list_empty(self):
repeated_scalar = self.simple_unevenly_sampled_packet.metadata
as_list = reader_utils.repeated_to_list(repeated_scalar)
self.assertEqual(type(as_list), list)
self.assertEqual(len(repeated_scalar), 2)
self.assertEqual(len(as_list), 2)
def test_repeated_composite_to_list_empty(self):
repeated_composite = self.simple_mic_packet.unevenly_sampled_channels
as_list = reader_utils.repeated_to_list(repeated_composite)
self.assertEqual(type(as_list), list)
self.assertEqual(len(repeated_composite), 0)
self.assertEqual(len(as_list), 0)
