def __init__(self,
bins,
sample_rate,
fft_window='hann',
fft_overlap=0.5,
crop_factor=0,
log_scale=True,
remove_dc=False,
detrend=None,
lnb_lo=0,
max_threads=0,
max_queue_size=0):
self._bins = bins
self._sample_rate = sample_rate
self._fft_window = fft_window
self._fft_overlap = fft_overlap
self._fft_overlap_bins = math.floor(self._bins * self._fft_overlap)
self._crop_factor = crop_factor
self._log_scale = log_scale
self._remove_dc = remove_dc
self._detrend = detrend
self._lnb_lo = lnb_lo
self._executor = threadpool.ThreadPoolExecutor(
max_workers=max_threads,
max_queue_size=max_queue_size,
thread_name_prefix='PSD_thread')
self._base_freq_array = numpy.fft.fftfreq(self._bins,
1 / self._sample_rate)
def __init__(self, output=sys.stdout):
self._close_output = False
# If output is integer, assume it is file descriptor and open it
if isinstance(output, int):
self._close_output = True
if sys.platform == 'win32':
output = msvcrt.open_osfhandle(output, 0)
output = open(output, 'wb')
# Get underlying buffered file object
try:
self.output = output.buffer
except AttributeError:
self.output = output
# Use only one writer thread to preserve sequence of written frequencies
self._executor = threadpool.ThreadPoolExecutor(
max_workers=1,
max_queue_size=100,
thread_name_prefix='Writer_thread')