def pushPacket(self, data, ts, EOS, stream_id):
"""
Pushes data to the file.
Input:
<data> The actual data to write to the file
<ts> The timestamp
<EOS> Flag indicating if this is the End Of the Stream
<stream_id> The name of the file
"""
self.port_lock.acquire()
if EOS:
self.gotEOS = True
self.eos_cond.notifyAll()
else:
self.gotEOS = False
try:
# If complex data, need to convert data back from array of scalar values
# to some form of complex values
if self.header != None and self.header['format'][0] == 'C':
# float and double are handled by numpy
# each array element is a single complex value
if self.header['format'][1] == 'F' or self.header['format'][
1] == 'D':
real = data[0:len(data):2]
imag = data[1:len(data):2]
tmp = multiply(imag, 1.0j).tolist()
data = add(real, tmp).tolist()
# other data types are not handled by numpy
# each element is two value array representing real and imaginary values
elif self.header['format'][1] == 'I' or self.header['format'][
1] == 'L':
if arch == "x86_64":
# Need to rehape the data into complex value pairs
# numpy reshape is used to avoid 64-bit error
data = reshape(data, (-1, 2))
# Need to convert numpy array to Numeric array which bluefile.write() is expecting
data = Numeric.array(data)
else:
data = Numeric.reshape(data, (-1, 2))
elif self.header['format'][1] == 'B':
# convert back from string to array of 8-bit integers
data = Numeric.fromstring(data, Numeric.Int8)
if arch == "x86_64":
# Need to rehape the data into complex value pairs
# numpy reshape is used to avoid 64-bit error
data = reshape(data, (-1, 2))
# Need to convert numpy array to Numeric array which bluefile.write() is expecting
data = Numeric.array(data)
else:
data = Numeric.reshape(data, (-1, 2))
elif self.header != None and self.header['format'] == "SB":
data = Numeric.fromstring(data, Numeric.Int8)
bluefile.write(self.outFile, hdr=None, data=data, append=1)
finally:
self.port_lock.release()
def pushPacket(self, data, ts, EOS, stream_id):
"""
Pushes data to the file.
Input:
<data> The actual data to write to the file
<ts> The timestamp
<EOS> Flag indicating if this is the End Of the Stream
<stream_id> The name of the file
"""
self.port_lock.acquire()
if EOS:
self.gotEOS = True
self.eos_cond.notifyAll()
else:
self.gotEOS = False
try:
# If complex data, need to convert data back from array of scalar values
# to some form of complex values
if self.header != None and self.header['format'][0] == 'C':
# float and double are handled by numpy
# each array element is a single complex value
if self.header['format'][1] == 'F' or self.header['format'][1] == 'D':
real = data[0:len(data):2]
imag = data[1:len(data):2]
tmp = multiply(imag,1.0j).tolist()
data = add(real,tmp).tolist()
# other data types are not handled by numpy
# each element is two value array representing real and imaginary values
elif self.header['format'][1] == 'I' or self.header['format'][1] == 'L':
if arch == "x86_64":
# Need to rehape the data into complex value pairs
# numpy reshape is used to avoid 64-bit error
data= reshape(data,(-1,2))
# Need to convert numpy array to Numeric array which bluefile.write() is expecting
data = Numeric.array(data)
else:
data= Numeric.reshape(data,(-1,2))
elif self.header['format'][1] == 'B':
# convert back from string to array of 8-bit integers
data = Numeric.fromstring(data,Numeric.Int8)
if arch == "x86_64":
# Need to rehape the data into complex value pairs
# numpy reshape is used to avoid 64-bit error
data= reshape(data,(-1,2))
# Need to convert numpy array to Numeric array which bluefile.write() is expecting
data = Numeric.array(data)
else:
data= Numeric.reshape(data,(-1,2))
elif self.header != None and self.header['format'] == "SB":
data = Numeric.fromstring(data,Numeric.Int8)
bluefile.write(self.outFile, hdr=None, data=data,
append=1)
finally:
self.port_lock.release()
def pushPacket(self, data, ts, EOS, stream_id):
"""
Pushes data to the file.
Input:
<data> The actual data to write to the file
<ts> The timestamp
<EOS> Flag indicating if this is the End Of the Stream
<stream_id> The name of the file
"""
self.port_lock.acquire()
if EOS:
self.gotEOS = True
self.eos_cond.notifyAll()
else:
self.gotEOS = False
try:
if self.header and self.header['format'][1] == 'B':
# convert back from string to array of 8-bit integers
data = numpy.fromstring(data, numpy.int8)
# If complex data, need to convert data back from array of scalar values
# to some form of complex values
if self.header and self.header['format'][0] == 'C':
# float and double are handled by numpy
# each array element is a single complex value
if self.header['format'][1] in ('F', 'D'):
data = bulkio_helpers.bulkioComplexToPythonComplexList(
data)
# other data types are not handled by numpy
# each element is two value array representing real and imaginary values
else:
# Need to rehape the data into complex value pairs
data = numpy.reshape(data, (-1, 2))
bluefile.write(self.outFile, hdr=None, data=data, append=1)
finally:
self.port_lock.release()
def pushPacket(self, data, ts, EOS, stream_id):
"""
Pushes data to the file.
Input:
<data> The actual data to write to the file
<ts> The timestamp
<EOS> Flag indicating if this is the End Of the Stream
<stream_id> The name of the file
"""
self.port_lock.acquire()
if EOS:
self.gotEOS = True
self.eos_cond.notifyAll()
else:
self.gotEOS = False
try:
if self.header and self.header["format"][1] == "B":
# convert back from string to array of 8-bit integers
data = numpy.fromstring(data, numpy.int8)
# If complex data, need to convert data back from array of scalar values
# to some form of complex values
if self.header and self.header["format"][0] == "C":
# float and double are handled by numpy
# each array element is a single complex value
if self.header["format"][1] in ("F", "D"):
data = bulkio_helpers.bulkioComplexToPythonComplexList(data)
# other data types are not handled by numpy
# each element is two value array representing real and imaginary values
else:
# Need to rehape the data into complex value pairs
data = numpy.reshape(data, (-1, 2))
bluefile.write(self.outFile, hdr=None, data=data, append=1)
finally:
self.port_lock.release()
def pushPacket(self, data, ts, EOS, stream_id):
"""
Pushes data to the file.
Input:
<data> The actual data to write to the file
<ts> The timestamp
<EOS> Flag indicating if this is the End Of the Stream
<stream_id> The name of the file
"""
self.port_lock.acquire()
if EOS:
self.gotEOS = True
self.eos_cond.notifyAll()
else:
self.gotEOS = False
try:
# If the header doesn't already have meaningful timecode, update it
# with the packet time and write it out to disk
if self._firstPacket and self.header and ts.tcstatus == BULKIO.TCS_VALID:
self.header['timecode'] = unix_to_j1950(ts.twsec + ts.tfsec)
bluefile.writeheader(self.outFile, self.header)
self._firstPacket = False
if self.header and self.header['format'][1] == 'B':
# convert back from string to array of 8-bit integers
try:
data = numpy.fromstring(data, numpy.int8)
except TypeError:
data = numpy.array(data, numpy.int8)
# If complex data, need to convert data back from array of scalar values
# to some form of complex values
if self.header and self.header['format'][0] == 'C':
# float and double are handled by numpy
# each array element is a single complex value
if self.header['format'][1] in ('F', 'D'):
data = bulkio_helpers.bulkioComplexToPythonComplexList(
data)
# other data types are not handled by numpy
# each element is two value array representing real and imaginary values
# if data is also framed, wait to reshape everything at once
elif self.header['subsize'] == 0:
# Need to rehape the data into complex value pairs
data = numpy.reshape(data, (-1, 2))
# If framed data, need to frame the data according to subsize
if self.header and self.header['subsize'] != 0:
# If scalar or single complex values, just frame it
if self.header['format'][0] != 'C' or self.header['format'][
1] in ('F', 'D'):
data = numpy.reshape(data,
(-1, int(self.header['subsize'])))
# otherwise, frame and pair as complex values
else:
data = numpy.reshape(data,
(-1, int(self.header['subsize']), 2))
bluefile.write(self.outFile, hdr=None, data=data, append=1)
finally:
self.port_lock.release()
first_samp += step
last_samp = first_samp + fftsize
print len(frames), len(frames[0]), len(frames[-1])
return hdr, frames
if __name__ == '__main__':
from optparse import OptionParser
parser = OptionParser()
parser.add_option('-l', '--log', action='store_true', dest='log_scale', default=False, help='Convert to log scale')
parser.add_option('-f', '--fftsize', action='store', dest='fftsize', default=2048, type='int', help='fft size to use')
parser.add_option('-o', '--overlap', action='store', dest='overlap', default=0.0, type='float', help='overlap')
options, args = parser.parse_args()
if len(args) < 2:
print 'Must pass input and output filenames on command line'
sys.exit(-1)
fname = args[0]
outname = args[1]
success, samprate, data = read_simple_wave(fname)
if not success:
sys.exit(-1)
print 'samprate: %s' % samprate
hdr, frames = spectrogram(samprate, data,
log_scale=options.log_scale,
fftsize=options.fftsize,
overlap=options.overlap)
bluefile.write(outname, hdr=hdr, data=frames)
# hdr['head_rep']="EEEI"
# hdr['data_rep']="EEEI"
return hdr
if __name__ == "__main__":
xfile = 480
yfile = 480
file_format = "SP"
filename = "mydata_%s_%s_%s" % (file_format, xfile, yfile)
blue = True
if blue:
bluefile.set_type2000_format(np.ndarray)
filename = filename + ".tmp"
hdr = make_midas_header(xfile, yfile, file_format)
data = make_2d_data_np(xfile, yfile, file_format)
print("len data", len(data), len(data[0]), type(data), type(data[0]))
bluefile.write(filename, hdr, data)
else:
data = make_2d_data(xfile, yfile, file_format)
f = open(filename, "a+")
for datalist in data:
# time.sleep(0.1)
binarydata = pack_list(datalist, file_format)
f.write(binarydata)
f.close()