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Commit 00d9a9dd authored by Jan David Mol's avatar Jan David Mol
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L2SS-477: Add comment explaining format of HBAT weights

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...@@ -61,6 +61,9 @@ class RECV(opcua_device): ...@@ -61,6 +61,9 @@ class RECV(opcua_device):
RCU_LED_colour_R = attribute(dtype=(numpy.uint32,), max_dim_x=32, fget=lambda self: (2 * self.proxy.RCU_LED_green_on_R + 4 * self.proxy.RCU_LED_red_on_R).astype(numpy.uint32)) RCU_LED_colour_R = attribute(dtype=(numpy.uint32,), max_dim_x=32, fget=lambda self: (2 * self.proxy.RCU_LED_green_on_R + 4 * self.proxy.RCU_LED_red_on_R).astype(numpy.uint32))
ANT_mask_RW = attribute_wrapper(comms_annotation=["ANT_mask_RW" ],datatype=numpy.bool_ , dims=(3,32), access=AttrWriteType.READ_WRITE) ANT_mask_RW = attribute_wrapper(comms_annotation=["ANT_mask_RW" ],datatype=numpy.bool_ , dims=(3,32), access=AttrWriteType.READ_WRITE)
# The HBAT beamformer delays represent 32 delays for each of the 96 inputs.
# The 32 delays deconstruct as delays[polarisation][dipole], and each delay is the number of 'delay steps' to apply (0.5ns for HBAT1).
HBAT_BF_delays_R = attribute_wrapper(comms_annotation=["HBAT_BF_delays_R" ],datatype=numpy.int64 , dims=(32,96)) HBAT_BF_delays_R = attribute_wrapper(comms_annotation=["HBAT_BF_delays_R" ],datatype=numpy.int64 , dims=(32,96))
HBAT_BF_delays_RW = attribute_wrapper(comms_annotation=["HBAT_BF_delays_RW" ],datatype=numpy.int64 , dims=(32,96), access=AttrWriteType.READ_WRITE) HBAT_BF_delays_RW = attribute_wrapper(comms_annotation=["HBAT_BF_delays_RW" ],datatype=numpy.int64 , dims=(32,96), access=AttrWriteType.READ_WRITE)
HBAT_LED_on_R = attribute_wrapper(comms_annotation=["HBAT_LED_on_R" ],datatype=numpy.bool_ , dims=(32,96)) HBAT_LED_on_R = attribute_wrapper(comms_annotation=["HBAT_LED_on_R" ],datatype=numpy.bool_ , dims=(32,96))
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