def receive():
while True:
t = spead.TransportUDPrx(PORT, pkt_count=1024, buffer_size=5120000)
ig = spead.ItemGroup()
print "Initializing new item group and waiting for data..."
s_time = 0
total_bytes = 0
for heap in spead.iterheaps(t):
if s_time == 0: s_time = time.time()
h_time = time.time()
ig.update(heap)
h_time = time.time() - h_time
total_bytes += heap.heap_len
print '\nDecoded heap %i of length %i in %f (%f MBps) seconds.' % (heap.heap_cnt, heap.heap_len, h_time, heap.heap_len/(h_time*1024*1024))
if heap.heap_len == 0: continue
print 'Items\n====='
for name in ig.keys():
item = ig.get_item(name)
print 'Name:',name,', Transport Type:',(item.dtype is not None and 'numpy' or 'std'),', Shape:',item.shape
if name == 'data_timestamp':
tt = time.time() - (ig[name][0]/1000.0)
print 'Transport time for timestamp %i is %f (%f MBps)' % (ig[name][0],tt,heap.heap_len/(tt*1024*1024))
s_time = time.time() - s_time
print 'Received stop. Stream processed %i bytes in %f seconds (%f MBps).' % (total_bytes, s_time, total_bytes/(s_time*1024*1024))
t.stop()
if options.profile: break
time.sleep(2)
def _listen(self):
for heap in S.iterheaps(self.rx):
logger.debug('BorphSpeadServer._listen: Got a heap')
self.is_connected = True
self.update(heap)
logger.debug('BorphSpeadServer._listen: Listening thread ended')
self.is_connected = False
def receive():
while True:
t = spead.TransportUDPrx(PORT, pkt_count=1024, buffer_size=5120000)
ig = spead.ItemGroup()
print "Initializing new item group and waiting for data..."
s_time = 0
total_bytes = 0
for heap in spead.iterheaps(t):
if s_time == 0: s_time = time.time()
h_time = time.time()
ig.update(heap)
h_time = time.time() - h_time
total_bytes += heap.heap_len
print '\nDecoded heap %i of length %i in %f (%f MBps) seconds.' % (
heap.heap_cnt, heap.heap_len, h_time, heap.heap_len /
(h_time * 1024 * 1024))
if heap.heap_len == 0: continue
print 'Items\n====='
for name in ig.keys():
item = ig.get_item(name)
print 'Name:', name, ', Transport Type:', (
item.dtype is not None and 'numpy'
or 'std'), ', Shape:', item.shape
if name == 'data_timestamp':
tt = time.time() - (ig[name][0] / 1000.0)
print 'Transport time for timestamp %i is %f (%f MBps)' % (
ig[name][0], tt, heap.heap_len / (tt * 1024 * 1024))
s_time = time.time() - s_time
print 'Received stop. Stream processed %i bytes in %f seconds (%f MBps).' % (
total_bytes, s_time, total_bytes / (s_time * 1024 * 1024))
t.stop()
if options.profile: break
time.sleep(2)
def test_iterheaps(self):
rx_tport = S.TransportFile(self.filename, "r")
heaps = [f for f in S.iterheaps(rx_tport)]
self.assertEqual(len(heaps), 2)
heap = heaps[0]
ig = S.ItemGroup()
ig.update(heap)
self.assertEqual(ig["var1"], 1)
self.assertEqual(ig["var2"], 2)
def test_iterheaps(self):
rx_tport = S.TransportFile(self.filename,'r')
heaps = [f for f in S.iterheaps(rx_tport)]
self.assertEqual(len(heaps), 2)
heap = heaps[0]
ig = S.ItemGroup()
ig.update(heap)
self.assertEqual(ig['var1'], 1)
self.assertEqual(ig['var2'], 2)
def receive():
print 'RX: Initializing...'
t = spead.TransportFile(FILENAME, 'r')
ig = spead.ItemGroup()
for heap in spead.iterheaps(t):
ig.update(heap)
print 'Got heap:', ig.heap_cnt
for name in ig.keys():
print ' ', name
item = ig.get_item(name)
print ' Description: ', item.description
print ' Format: ', [item.format]
print ' Shape: ', item.shape
print ' Value: ', ig[name]
print 'RX: Done.'
def receive():
print 'RX: Initializing...'
t = spead.TransportFile(sys.stdin)
ig = spead.ItemGroup()
for heap in spead.iterheaps(t):
ig.update(heap)
print 'Got heap:', ig.heap_cnt
for name in ig.keys():
print ' ', name
item = ig.get_item(name)
print ' Description: ', item.description
print ' Format: ', item.format
print ' Shape: ', item.shape
print ' Value: ', ig[name]
print 'RX: Done.'
def receive():
print 'RX: Initializing...'
t = spead.TransportUDPrx(PORT)
ig = spead.ItemGroup()
for heap in spead.iterheaps(t):
#print spead.readable_heap(heap)
ig.update(heap)
print 'Got heap:', ig.heap_cnt
for name in ig.keys():
print ' ', name
item = ig.get_item(name)
print ' Description: ', item.description
print ' Format: ', item.format
print ' Shape: ', item.shape
print ' Value: ', ig[name]
print 'RX: Done.'
def write_thread(self):
"""Starts up reciever thread and parses through the data.
Then writes the uv files """
global c
global syncup_pulse
logger.info("RPOCO8-RX.rx_thread: Starting receiver thread")
for heap in S.iterheaps(rx):
ig.update(heap)
ig["acc_num"] = ig.heap_cnt
# print ig.keys()
if syncup_pulse:
if ig.heap_cnt > 0:
continue
elif ig.heap_cnt == 0:
syncup_pulse = False
if ig.heap_cnt == 0:
continue
sec = ig["data_timestamp"] / 1000.0
jd = self.unix2julian(sec)
logger.info("RPOCO8-RX.rx_thread: Got HEAP_CNT=%d" % (ig.heap_cnt))
# continue
# data = N.zeros(shape = 1024, dtype = N.complex64)
for name in self.now:
data = N.zeros(shape=1024, dtype=N.complex64)
if name[0] == name[1]:
data.real = N.dstack((ig[name + "_er"], ig[name + "_or"])).flatten()
self.uv_update(name, data[::-1], jd)
else:
data.real = N.dstack((ig[name + "_er"], ig[name + "_or"])).flatten()
data.imag = N.dstack((ig[name + "_ei"], ig[name + "_oi"])).flatten()
self.uv_update(name, data[::-1], jd)
if c == 0:
self.filename = "poco.%f.uv" % jd
print "Writing to filename %s" % self.filename
c += 1
if c == 30:
c = 0
print "closing uv file"
self.close_uv(self.filename)
print "reopening new uv file"
self.open_uv()
def write_thread(self):
"""Starts up reciever thread and parses through the data.
Then writes the uv files """
global c
logger.info("RPOCO8-RX.rx_thread: Starting receiver thread")
for heap in S.iterheaps(rx):
ig.update(heap)
ig["acc_num"] = ig.heap_cnt
# print ig.keys()
sec = ig["data_timestamp"] / 1000.0
jd = self.unix2julian(sec)
logger.info("RPOCO8-RX.rx_thread: Got HEAP_CNT=%d" % (ig.heap_cnt))
# continue
data = N.zeros(shape=1024, dtype=N.complex64)
for name in self.now:
data = N.zeros(shape=1024, dtype=N.complex64)
if name[0] == name[1]:
R = ig[name + "_r"].reshape([NCHAN, 2])
data.real = R[:, 0]
self.uv_update(name, data[::-1], jd)
data.real = R[:, 1]
self.uv_update(self.then[self.now.index(name)], data[::-1], jd)
else:
R = ig[name + "_r"].reshape([NCHAN, 2])
I = ig[name + "_i"].reshape([NCHAN, 2])
data.real = R[:, 0]
data.imag = I[:, 0]
self.uv_update(name, data[::-1], jd)
data.real = R[:, 1]
data.imag = I[:, 1]
if name in ["ae", "af", "be", "bf", "cg", "ch", "dg", "dh"]:
self.uv_update(self.then[self.now.index(name)], N.conj(data)[::-1], jd)
else:
self.uv_update(self.then[self.now.index(name)], data[::-1], jd)
c += 1
if c % 300 == 0:
filename = "poco." + str((time.time() / 86400.0) + 2440587.5) + ".uv"
print "closing uv file"
self.close_uv(filename)
print "reopening new uv file"
self.open_uv()
def receive():
print 'RX: initializing'
tport = spead.TransportUDPrx(PORT)
ig = spead.ItemGroup()
print 'RX: listening'
pv_t1, pv_tx_time = 0, 0
for heap in spead.iterheaps(tport):
t1 = time.time()
ig.update(heap)
t2 = time.time()
t_total = t2 - ig['tx_time']
t_update = t2 - t1
t_rx_heap = pv_t1 - ig['pv_time']
print 't_total:', t_total
print 't_update:', t_update
print 't_rx_heap (prev):', t_rx_heap
print 't_tx (prev):', ig['pv_time'] - pv_tx_time
print '-' * 60
pv_t1 = t1
pv_tx_time = ig['tx_time']
print 'RX: stop'
def receive():
print 'RX: initializing'
tport = spead.TransportUDPrx(PORT)
ig = spead.ItemGroup()
print 'RX: listening'
pv_t1, pv_tx_time = 0, 0
for heap in spead.iterheaps(tport):
t1 = time.time()
ig.update(heap)
t2 = time.time()
t_total = t2 - ig['tx_time']
t_update = t2 - t1
t_rx_heap = pv_t1 - ig['pv_time']
print 't_total:', t_total
print 't_update:', t_update
print 't_rx_heap (prev):', t_rx_heap
print 't_tx (prev):', ig['pv_time'] - pv_tx_time
print '-' * 60
pv_t1 = t1
pv_tx_time = ig['tx_time']
print 'RX: stop'
def write_thread(self):
'''Starts up reciever thread and parses through the data.
Then writes the uv files '''
global c
logger.info('RPOCO8-RX.rx_thread: Starting receiver thread')
for heap in S.iterheaps(rx):
ig.update(heap)
ig['acc_num']= ig.heap_cnt
#print ig.keys()
sec = ig['data_timestamp']/1000.0
jd = self.unix2julian(sec)
logger.info('RPOCO8-RX.rx_thread: Got HEAP_CNT=%d' % (ig.heap_cnt))
#continue
data = N.zeros(shape = 1024, dtype = N.complex64)
for name in self.now:
data = N.zeros(shape = 1024, dtype = N.complex64)
if name[0] == name[1]:
R = ig[name+'_r'].reshape([NCHAN,2])
data.real = R[:,0]
self.uv_update(name,data[::-1],jd)
data.real = R[:,1]
self.uv_update(self.then[self.now.index(name)],data[::-1],jd)
else:
R = ig[name+'_r'].reshape([NCHAN,2])
I = ig[name+'_i'].reshape([NCHAN,2])
data.real = R[:,0]
data.imag = I[:,0]
self.uv_update(name,data[::-1],jd)
data.real = R[:,1]
data.imag = I[:,1]
if name in ['ae','af','be','bf','cg','ch','dg','dh']:self.uv_update(self.then[self.now.index(name)], N.conj(data)[::-1],jd)
else:self.uv_update(self.then[self.now.index(name)], data[::-1],jd)
c += 1
if c%300 == 0:
filename = 'poco.' + str((time.time()/86400.0)+2440587.5) + '.uv'
print 'closing uv file'
self.close_uv(filename)
print 'reopening new uv file'
self.open_uv()
def rx_cont(self,data_port=7148, sd_ip='127.0.0.1', sd_port=7149,acc_scale=True, filename=None,**kwargs):
logger=self.logger
logger.info("Data reception on port %i."%data_port)
rx = spead.TransportUDPrx(data_port, pkt_count=1024, buffer_size=51200000)
logger.info("Sending Signal Display data to %s:%i."%(sd_ip,sd_port))
tx_sd = spead.Transmitter(spead.TransportUDPtx(sd_ip, sd_port))
ig = spead.ItemGroup()
ig_sd = spead.ItemGroup()
if filename == None:
filename=str(int(time.time())) + ".synth.h5"
logger.info("Starting file %s."%(filename))
f = h5py.File(filename, mode="w")
data_ds = None
ts_ds = None
idx = 0
dump_size = 0
datasets = {}
datasets_index = {}
meta_required = ['n_chans','bandwidth','n_bls','n_xengs','center_freq','bls_ordering']
# we need these bits of meta data before being able to assemble and transmit signal display data
meta_desired = ['n_accs']
meta = {}
for heap in spead.iterheaps(rx):
ig.update(heap)
logger.debug("PROCESSING HEAP idx(%i) cnt(%i) @ %.4f" % (idx, heap.heap_cnt, time.time()))
for name in ig.keys():
item = ig.get_item(name)
if not item._changed and datasets.has_key(name): continue # the item is not marked as changed, and we have a record for it
if name in meta_desired:
meta[name] = ig[name]
if name in meta_required:
meta[name] = ig[name]
meta_required.pop(meta_required.index(name))
if len(meta_required) == 0:
#sd_frame = np.zeros((meta['n_chans'],meta['n_bls'],2),dtype=np.float32)
logger.info("Got all required metadata. Expecting data frame shape of %i %i %i"%(meta['n_chans'],meta['n_bls'],2))
meta_required = ['n_chans','bandwidth','n_bls','n_xengs','center_freq','bls_ordering']
ig_sd = spead.ItemGroup()
for meta_item in meta_required:
ig_sd.add_item(
name=ig.get_item(meta_item).name,
id=ig.get_item(meta_item).id,
description=ig.get_item(meta_item).description,
#shape=ig.get_item(meta_item).shape,
#fmt=ig.get_item(meta_item).format,
init_val=ig.get_item(meta_item).get_value())
tx_sd.send_heap(ig_sd.get_heap())
if not datasets.has_key(name):
# check to see if we have encountered this type before
shape = ig[name].shape if item.shape == -1 else item.shape
dtype = np.dtype(type(ig[name])) if shape == [] else item.dtype
if dtype is None: dtype = ig[name].dtype
# if we can't get a dtype from the descriptor try and get one from the value
logger.info("Creating dataset for %s (%s,%s)."%(str(name),str(shape),str(dtype)))
f.create_dataset(name,[1] + ([] if list(shape) == [1] else list(shape)), maxshape=[None] + ([] if list(shape) == [1] else list(shape)), dtype=dtype)
dump_size += np.multiply.reduce(shape) * dtype.itemsize
datasets[name] = f[name]
datasets_index[name] = 0
if not item._changed: continue
# if we built from and empty descriptor
else:
logger.info("Adding %s to dataset. New size is %i."%(name,datasets_index[name]+1))
f[name].resize(datasets_index[name]+1, axis=0)
if name.startswith("xeng_raw"):
sd_timestamp = ig['sync_time'] + (ig['timestamp'] / float(ig['scale_factor_timestamp']))
#logger.info("SD Timestamp: %f (%s)."%(sd_timestamp,time.ctime(sd_timestamp)))
scale_factor=float(meta['n_accs'] if (meta.has_key('n_accs') and acc_scale) else 1)
scaled_data = (ig[name]/scale_factor).astype(np.float32)
# reinit the group to force meta data resend
ig_sd = spead.ItemGroup()
ig_sd.add_item(name=('sd_data'),
id=(0x3501),
description="Combined raw data from all x engines.",
ndarray=(scaled_data.dtype,scaled_data.shape))
ig_sd.add_item(name=('sd_timestamp'),
id=0x3502,
description='Timestamp of this sd frame in centiseconds since epoch (40 bit limitation).',
init_val=sd_timestamp)
#shape=[],
#fmt=spead.mkfmt(('u',spead.ADDRSIZE)))
t_it = ig_sd.get_item('sd_data')
logger.debug("Added SD frame with shape %s, dtype %s"%(str(t_it.shape),str(t_it.dtype)))
tx_sd.send_heap(ig_sd.get_heap())
logger.info("Sending signal display frame with timestamp %i (%s). %s. Max: %i, Mean: %i"%(
sd_timestamp,
time.ctime(sd_timestamp),
"Unscaled" if not acc_scale else "Scaled by %i" % (scale_factor),
np.max(scaled_data),
np.mean(scaled_data)))
ig_sd['sd_data'] = scaled_data
ig_sd['sd_timestamp'] = sd_timestamp * 100
#ig_sd['sd_timestamp'] = sd_timestamp
tx_sd.send_heap(ig_sd.get_heap())
f[name][datasets_index[name]] = ig[name]
datasets_index[name] += 1
item._changed = False
# we have dealt with this item so continue...
idx+=1
# for (name,idx) in datasets_index.iteritems():
# if idx == 1:
# self.logger.info("Repacking dataset %s as an attribute as it is singular."%name)
# f['/'].attrs[name] = f[name].value[0]
# f.__delitem__(name)
logger.info("Got a SPEAD end-of-stream marker. Closing File.")
f.flush()
f.close()
rx.stop()
ig_sd = None
sd_timestamp = None
logger.info("Files and sockets closed.")
def rx_inter(self,data_port=7148, sd_ip='127.0.0.1', sd_port=7149, acc_scale=True, filename=None, **kwargs):
'''
Process SPEAD data from X engines and forward it to the SD.
'''
print 'WARNING: This function is not yet tested. YMMV.'
logger=self.logger
logger.info("Data reception on port %i."%data_port)
rx = spead.TransportUDPrx(data_port, pkt_count=1024, buffer_size=51200000)
logger.info("Sending Signal Display data to %s:%i."%(sd_ip,sd_port))
tx_sd = spead.Transmitter(spead.TransportUDPtx(sd_ip, sd_port))
ig = spead.ItemGroup()
ig_sd = spead.ItemGroup()
if filename == None:
filename=str(int(time.time())) + ".synth.h5"
logger.info("Starting file %s."%(filename))
f = h5py.File(filename, mode="w")
data_ds = None
ts_ds = None
idx = 0
dump_size = 0
datasets = {}
datasets_index = {}
# we need these bits of meta data before being able to assemble and transmit signal display data
meta_required = ['n_chans','n_bls','n_xengs','center_freq','bls_ordering','bandwidth']
meta_desired = ['n_accs']
meta = {}
sd_frame = None
sd_slots = None
timestamp = None
# log the latest timestamp for which we've stored data
currentTimestamp = -1
# iterate through SPEAD heaps returned by the SPEAD receiver.
for heap in spead.iterheaps(rx):
ig.update(heap)
logger.debug("PROCESSING HEAP idx(%i) cnt(%i) @ %.4f" % (idx, heap.heap_cnt, time.time()))
for name in ig.keys():
item = ig.get_item(name)
# the item is not marked as changed and we already have a record for it, continue
if not item._changed and datasets.has_key(name):
continue
logger.debug("PROCESSING KEY %s @ %.4f" % (name, time.time()))
if name in meta_desired:
meta[name] = ig[name]
if name in meta_required:
meta[name] = ig[name]
meta_required.pop(meta_required.index(name))
if len(meta_required) == 0:
sd_frame = np.zeros((meta['n_chans'],meta['n_bls'],2),dtype=np.float32)
logger.info("Got all required metadata. Initialised sd frame to shape %s"%(str(sd_frame.shape)))
meta_required = ['n_chans','bandwidth','n_bls','n_xengs','center_freq','bls_ordering']
ig_sd = spead.ItemGroup()
for meta_item in meta_required:
ig_sd.add_item(
name=ig.get_item(meta_item).name,
id=ig.get_item(meta_item).id,
description=ig.get_item(meta_item).description,
#shape=ig.get_item(meta_item).shape,
#fmt=ig.get_item(meta_item).format,
init_val=ig.get_item(meta_item).get_value())
tx_sd.send_heap(ig_sd.get_heap())
sd_slots = np.zeros(meta['n_xengs'])
if not datasets.has_key(name):
# check to see if we have encountered this type before
shape = ig[name].shape if item.shape == -1 else item.shape
dtype = np.dtype(type(ig[name])) if shape == [] else item.dtype
if dtype is None: dtype = ig[name].dtype
# if we can't get a dtype from the descriptor, try and get one from the value
logger.info("Creating dataset for %s (%s,%s)."%(str(name),str(shape),str(dtype)))
f.create_dataset(name,[1] + ([] if list(shape) == [1] else list(shape)), maxshape=[None] + ([] if list(shape) == [1] else list(shape)), dtype=dtype)
dump_size += np.multiply.reduce(shape) * dtype.itemsize
datasets[name] = f[name]
datasets_index[name] = 0
# if we built from an empty descriptor
if not item._changed:
continue
else:
logger.info("Adding %s to dataset. New size is %i."%(name,datasets_index[name]+1))
f[name].resize(datasets_index[name]+1, axis=0)
# now we store this x engine's data for sending sd data.
if sd_frame is not None and name.startswith("xeng_raw"):
xeng_id = int(name[8:])
sd_frame[xeng_id::meta['n_xengs']] = ig[name]
logger.debug('Received data for Xeng %i @ %.4f' % (xeng_id, time.time()))
# we got a timestamp.
if sd_frame is not None and name.startswith("timestamp"):
xeng_id = int(name[9:])
timestamp = ig['sync_time'] + (ig[name] / ig['scale_factor_timestamp']) #in seconds since unix epoch
localTime = time.time()
print "Decoded timestamp for Xeng", xeng_id, ":", timestamp, " (", time.ctime(timestamp),") @ %.4f" % localTime, " ", time.ctime(localTime), "diff(", localTime-timestamp, ")"
# is this timestamp in the past?
if currentTimestamp > timestamp:
errorString = "Timestamp %.2f (%s) is earlier than the current timestamp %.2f (%s). Ignoring..." % (timestamp, time.ctime(timestamp), currentTimestamp, time.ctime(currentTimestamp))
logger.warning(errorString)
continue
# is this a new timestamp before a complete set?
if (timestamp > currentTimestamp) and sd_slots.any():
errorString = "New timestamp %.2f from Xeng%i before previous set %.2f sent" % (timestamp, xeng_id, currentTimestamp)
logger.warning(errorString)
sd_slots = np.zeros(meta['n_xengs'])
sd_frame = np.zeros((ig['n_chans'],ig['n_bls'],2),dtype=sd_frame.dtype)
currentTimestamp = -1
continue
# is this new timestamp in the past for this X engine?
if timestamp <= sd_slots[xeng_id]:
errorString = 'Xeng%i already on timestamp %.2f but got %.2f now, THIS SHOULD NOT HAPPEN' % (xeng_id, sd_slots[xeng_id], timestamp)
logger.error(errorString)
raise RuntimeError(errorString)
# update our info on which integrations we have
sd_slots[xeng_id] = timestamp
currentTimestamp = timestamp
# do we have integration data and timestamps for all the xengines? If so, send the SD frame.
if timestamp is not None and sd_frame is not None and sd_slots is not None and sd_slots.all():
ig_sd = spead.ItemGroup()
# make sure we have the right dtype for the sd data
ig_sd.add_item(name=('sd_data'), id=(0x3501), description="Combined raw data from all x engines.", ndarray=(sd_frame.dtype,sd_frame.shape))
ig_sd.add_item(name=('sd_timestamp'), id=0x3502, description='Timestamp of this sd frame in centiseconds since epoch (40 bit limitation).', shape=[], fmt=spead.mkfmt(('u',spead.ADDRSIZE)))
t_it = ig_sd.get_item('sd_data')
logger.info("Added SD frame with shape %s, dtype %s" % (str(t_it.shape),str(t_it.dtype)))
scale_factor=(meta['n_accs'] if meta.has_key('n_accs') else 1)
logger.info("Sending signal display frame with timestamp %i (%s). %s. @ %.4f" % (timestamp, time.ctime(timestamp), "Unscaled" if not acc_scale else "Scaled by %i" % (scale_factor), time.time()))
ig_sd['sd_data'] = sd_frame.astype(np.float32) if not acc_scale else (sd_frame / float(scale_factor)).astype(np.float32)
ig_sd['sd_timestamp'] = int(timestamp * 100)
tx_sd.send_heap(ig_sd.get_heap())
# reset the arrays that hold integration data
sd_slots = np.zeros(meta['n_xengs'])
sd_frame = np.zeros((ig['n_chans'],ig['n_bls'],2),dtype=sd_frame.dtype)
timestamp = None
f[name][datasets_index[name]] = ig[name]
datasets_index[name] += 1
item._changed = False
idx+=1
logger.info("Got a SPEAD end-of-stream marker. Closing File.")
f.flush()
f.close()
rx.stop()
sd_frame = None
sd_slots = None
ig_sd = None
dump_size = 0
datasets = {}
datasets_index = {}
meta_required = ['n_chans','n_bls','n_stokes','n_xengs','sync_time']
# we need these bits of meta data before being able to assemble and transmit signal display data
meta = {}
sd_frame = None
sd_slots = None
timestamp = None
write_enabled = True
last_save_time = time.time()
recording=False
try:
for heap in spead.iterheaps(rx):
ig.update(heap)
for name in ig.keys():
item = ig.get_item(name)
if not item._changed and datasets.has_key(name): continue #the item has not changed and we already have a record of it.
if name in meta_required:
meta_required.pop(meta_required.index(name))
if len(meta_required) == 0:
sd_frame = np.zeros((ig['n_chans'],ig['n_bls'],ig['n_stokes'],2),dtype=np.int32)
print "Got the required metadata. Initialised sd frame to shape",sd_frame.shape
sd_slots = np.zeros(ig['n_xengs']) #create an SD slot for each X engine. This keeps track of which engines' data have been received for this integration.
if not datasets.has_key(name):
# check to see if we have encountered this type before
shape = ig[name].shape if item.shape == -1 else item.shape
dtype = np.dtype(type(ig[name])) if shape == [] else item.dtype
def test_heaplen(self):
data = open(self.filename).read()
rx_tport = S.TransportString(data)
for h in S.iterheaps(rx_tport):
self.assertFalse(rx_tport.got_term_sig)
self.assertTrue(rx_tport.got_term_sig)
def test_heaplen(self):
data = open(self.filename).read()
rx_tport = S.TransportString(data)
for h in S.iterheaps(rx_tport):
self.assertFalse(rx_tport.got_term_sig)
self.assertTrue(rx_tport.got_term_sig)
