def set_fasttext(self, data, mag):
self.fasttext = True
self.links = []
for n in range(4):
nn = n*6
(p,e) = page(data[nn+3:nn+5])
((s,m),e) = subcode_bcd(data[nn+5:nn+9])
m = (mag^m)&0x7
if m == 0:
m = 8
self.links.append("%1d%02x" % (m,p))
def do_print(tt):
if type(tt) == type(''):
tt = np.fromstring(tt, dtype=np.uint8)
ret = ""
((m, r),e) = mrag(tt[:2])
ret += "%1d %2d" % (m, r)
if r == 0:
(p,e) = page(tt[2:4])
((s,c),e) = subcode_bcd(tt[4:10])
ret += " P%1d%02x " % (m,p)
ret += Printer(tt[10:]).string_ansi()
ret += " %04x %x" % (s,c)
elif r == 30: # broadcast service data
# designation code
(d,e) = unhamm84(tt[2])
# initial page
(p,e) = page(tt[3:5])
((s,m),e) = subcode_bcd(np.fromstring(tt[5:9], dtype=np.uint8))
ret += " %1d I%1d%02x:%04x " % (d, m, p, s)
if d&2:
ret += "(PDC) "
else:
ret += "(NET) "
ret += Printer(tt[22:]).string_ansi()
elif r == 27: # broadcast service data
# designation code
(d,e) = unhamm84(tt[2])
ret += " %1d " % (d)
for n in range(6):
nn = n*6
(p,e) = page(tt[nn+3:nn+5])
((s,m),e) = subcode_bcd(tt[nn+5:nn+9])
ret += " %1d%02x:%04x " % (m,p,s)
else:
ret += Printer(tt[2:]).string_ansi()
return ret
def __init__(self, a):
self.array = a.reshape((26,42))
#do_print(self.array[0])
((self.m,self.r),e) = mrag(self.array[0][:2])
(self.p,e) = page(self.array[0][2:4])
(self.s,self.c),self.e = subcode_bcd(self.array[0][4:10])
# remove parity
self.array[2:,2:] &= 0x7f
# check if row n-1 is double height
self.no_double_on_prev = ((self.array[1:-1,2:]) != 0x0d).all(axis=1)
# row 1 can't contain double but might due to not being printable
self.no_double_on_prev[0] = True
# calculate a target threshold for each line
# based on the number of non-blank characters
# first count non-blanks
self.threshold = ((self.array[2:,2:] != ord(' ')).sum(axis=1))
# if non-blanks <= 5, don't require a match (set threshold to 0)
# also ignore rows following a double height row
self.threshold *= ((self.threshold > 5) & (self.no_double_on_prev))
# some proportion of non-blanks must match in the rest of the lines
self.threshold *= 0.5
# sum required threshold for each line to get total threshold
self.threshold_sum = self.threshold.sum() * 1.5
try:
self.ds = int("%x" % self.s, 10)
except ValueError:
self.ds = 1000
rows = np.array([mrag(self.array[n][:2])[0][1] for n in range(26)])
self.goodrows = (rows == Page.rows)
