def __init__(self, ring, header, gulp_nframe, buf_nframe):
SequenceBase.__init__(self, ring)
self._header = header
# This allows passing DataType instances instead of string types
header['_tensor']['dtype'] = str(header['_tensor']['dtype'])
header_str = json.dumps(header)
header_size = len(header_str)
tensor = self.tensor
# **TODO: Consider moving this into bfRingSequenceBegin
self.ring.resize(gulp_nframe * tensor['frame_nbyte'],
buf_nframe * tensor['frame_nbyte'],
tensor['nringlet'])
offset_from_head = 0
# TODO: How to allow time_tag to be optional? Probably need to plumb support through to backend.
self.obj = _bf.BFwsequence()
try:
hname = header['name'].encode()
hstr = header_str.encode()
except AttributeError:
# Python2 catch
hname = header['name']
hstr = header_str
_check(_bf.bfRingSequenceBegin(
self.obj,
ring.obj,
hname,
header['time_tag'],
header_size,
hstr,
tensor['nringlet'],
offset_from_head))
def __init__(self, ring, name="", time_tag=-1, header="", nringlet=1):
SequenceBase.__init__(self, ring)
# TODO: Allow header to be a string, buffer, or numpy array
header_size = len(header)
if isinstance(header, np.ndarray):
header = header.ctypes.data
elif isinstance(header, str):
try:
header = header.encode()
except AttributeError:
# Python2 catch
pass
#print("hdr:", header_size, type(header))
name = str(name)
offset_from_head = 0
self.obj = _bf.BFwsequence()
try:
name = name.encode()
except AttributeError:
# Python2 catch
pass
_check(
_bf.bfRingSequenceBegin(self.obj, ring.obj, name, time_tag,
header_size, header, nringlet,
offset_from_head))