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add nrBCH() #74

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Apr 1, 2024
Merged

add nrBCH() #74

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840fafe
wip
catkira Apr 1, 2024
036acdc
wip [no ci]
catkira Apr 1, 2024
022bc14
wip [no ci]
catkira Apr 1, 2024
1a6178e
wip [no ci]
catkira Apr 1, 2024
939074b
add test
catkira Apr 1, 2024
a276e6f
add to __init__.py
catkira Apr 1, 2024
ecf0e3c
bump version to 0.5
catkira Apr 1, 2024
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1 change: 1 addition & 0 deletions py3gpp/__init__.py
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Original file line number Diff line number Diff line change
Expand Up @@ -24,6 +24,7 @@
from .nrCRCEncode import nrCRCEncode
from .nrCRCDecode import nrCRCDecode
from .nrBCHDecode import nrBCHDecode
from .nrBCH import nrBCH
from .nrPRBS import nrPRBS
from .nrSymbolModulate import nrSymbolModulate
from .nrRateMatchLDPC import nrRateMatchLDPC
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93 changes: 93 additions & 0 deletions py3gpp/nrBCH.py
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@@ -0,0 +1,93 @@
import numpy as np
from py3gpp.nrPolarEncode import nrPolarEncode
from py3gpp.nrRateMatchPolar import nrRateMatchPolar
from py3gpp.nrCRCEncode import nrCRCEncode
from py3gpp.nrPBCHPRBS import nrPBCHPRBS


def nrBCH(trblk, sfn, hrf, lssb, idxoffset, ncellid):
# interleaving according to TS38.212 7.1.1
# fmt: off
G = [16, 23, 18, 17, 8, 30, 10, 6, 24, 7, 0, 5, 3, 2, 1, 4, 9, 11, 12, 13, 14, 15, 19, 20, 21, 22, 25, 26, 27, 28,
29, 31]
# fmt: on
SFN_PAYLOAD_BEGIN = 1
SFN_PAYLOAD_LENGTH = 6
SFN_2ND_LSB = SFN_PAYLOAD_LENGTH + 2
SFN_3RD_LSB = SFN_PAYLOAD_LENGTH + 1
#v = 2 * scrblk[G[SFN_3RD_LSB]] + scrblk[G[SFN_2ND_LSB]]
j_sfn = 0
j_other = 14
payload = trblk
A = 32
a = np.zeros(A, "int")
for i in range(24):
if (i >= SFN_PAYLOAD_BEGIN) and (i < (SFN_PAYLOAD_BEGIN + SFN_PAYLOAD_LENGTH)):
a[G[j_sfn]] = payload[i]
j_sfn += 1
else:
a[G[j_other]] = payload[i]
j_other += 1
a[G[10]] = hrf
a[G[j_sfn + 0]] = 1 if sfn & 0x08 != 0 else 0
a[G[j_sfn + 1]] = 1 if sfn & 0x04 != 0 else 0
a[G[j_sfn + 2]] = 1 if sfn & 0x02 != 0 else 0
a[G[j_sfn + 3]] = 1 if sfn & 0x01 != 0 else 0

# scramble
tmp_seq = nrPBCHPRBS(ncellid, 0, len(a) * 100)
if lssb in (4, 8):
M = A - 3
else:
M = A - 6
v = 2 * a[G[SFN_3RD_LSB]] + a[G[SFN_2ND_LSB]]
n = v * M
scrambling_seq = tmp_seq[n:][:A]
scrambling_seq_final = np.zeros(A, "int")
j = 0
for i in range(A):
is_ssb_idx = (i in (G[11], G[12], G[13])) and lssb == 64
if is_ssb_idx or i == G[10] or i == G[SFN_2ND_LSB] or i == G[SFN_3RD_LSB]:
scrambling_seq_final[i] = 0
else:
scrambling_seq_final[i] = scrambling_seq[j]
j += 1
scrblk_scrambled = np.bitwise_xor(scrambling_seq_final, a)

# attach CRC
bits = nrCRCEncode(scrblk_scrambled, "24C")[:,0]

# polar encoding + rate matching
E = 864
NMAX = 9
encoded = nrPolarEncode(bits, 0, nmax = NMAX, iil = True)
rate_matched = nrRateMatchPolar(encoded, 0, E, ibil = False)

return rate_matched

if __name__ == '__main__':
trblk = np.zeros(24, int)
sfn = 0
hrf = 0
lssb = 8
idxoffset = 0
ncellid = 0
cdblk = nrBCH(trblk, sfn, hrf, lssb, idxoffset, ncellid)
from py3gpp.nrBCHDecode import nrBCHDecode
decoded = nrBCHDecode(1 - 2*cdblk, 8, lssb, ncellid)
# nid = 0, lssb = 8, idxoffset = 0, hrf = 0, sfn = 0
desired_cdblk = np.array([0,0,0,1,0,1,0,1,0,0,0,0,0,0,1,0,1,0,1,0,1,1,0,1,0,0,0,1,0,0,0,0,1,0,1,0,0,0,1,0,1,1,1,0,0,0,0,0,1,0,1,0,1,1,1,0,0,1,0,0,0,1,1,0,0,0,0,1,1,0,1,0,1,1,1,1,0,0,1,0,0,0,0,1,0,1,1,0,0,1,0,1,0,1,0,0,0,0,0,1,1,0,0,1,1,0,1,0,0,1,0,0,1,0,1,0,0,0,0,1,1,0,1,1,0,1,1,0,1,0,1,1,1,1,1,1,1,0,1,0,1,0,0,0,0,0,0,1,0,1,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,1,1,1,1,0,1,1,1,0,1,0,1,0,1,0,1,1,0,1,0,0,0,1,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,1,0,1,0,1,0,1,0,0,0,1,0,1,1,1,0,0,0,0,0,1,0,1,1,0,0,0,0,0,1,0,1,1,0,0,0,0,0,0,1,1,0,1,0,1,1,1,1,0,0,1,0,0,0,0,0,0,1,0,0,1,1,1,0,1,1,0,0,1,0,1,0,1,1,1,0,0,1,0,0,0,1,1,0,1,0,1,1,1,1,0,0,1,1,1,1,1,1,1,0,0,0,0,1,0,1,1,0,0,1,0,1,0,1,0,0,1,0,1,1,0,0,1,1,0,0,0,0,1,1,1,0,0,0,0,1,1,0,0,1,1,0,1,0,0,1,0,0,0,0,0,0,1,0,1,1,0,0,0,1,1,1,0,0,1,0,1,0,0,0,0,1,1,0,1,1,0,1,1,0,1,0,1,1,1,1,1,1,1,0,1,0,1,0,0,0,0,0,0,0,0,1,1,1,1,0,1,1,1,0,1,0,0,0,0,0,1,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,1,0,0,1,1,1,0,1,1,0,0,1,0,1,1,0,0,0,0,0,1,0,1,1,0,0,0,1,0,1,1,1,1,0,0,1,1,1,1,1,1,1,0,1,0,1,1,0,0,1,1,0,0,0,0,1,1,1,0,0,0,0,0,1,0,1,1,0,0,0,1,1,1,0,0,0,0,0,1,0,1,0,1,0,0,0,0,0,0,1,0,1,0,1,0,1,1,0,1,0,0,0,1,0,0,0,0,1,0,1,0,0,0,1,0,1,1,1,0,0,0,0,0,1,0,1,0,1,1,1,0,0,1,0,0,0,1,1,0,0,0,0,1,1,0,1,0,1,1,1,1,0,0,1,0,0,0,0,1,0,1,1,0,0,1,0,1,0,1,0,0,0,0,0,1,1,0,0,1,1,0,1,0,0,1,0,0,1,0,1,0,0,0,0,1,1,0,1,1,0,1,1,0,1,0,1,1,1,1,1,1,1,0,1,0,1,0,0,0,0,0,0,1,0,1,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,1,1,1,1,0,1,1,1,0,1,0,1,0,1,0,1,1,0,1,0,0,0,1,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,1,0,1,0,1,0,1,0,0,0,1,0,1,1,1,0,0,0,0,0,1,0,1,1,0,0,0,0,0,1,0,1,1,0,0,0,0,0,0,1,1,0,1,0,1,1,1,1,0,0,1,0,0,0,0,0,0,1,0,0,1,1,1,0,1,1,0,0,1,0,1,0,1,1,1,0,0,1,0,0,0,1,1,0,1,0,1,1,1,1,0,0,1,1,1,1,1,1,1,0,0,0,0,1,0,1,1,0,0,1,0,1,0,1,0,0,1,0,1,1,0,0,1,1,0,0,0,0,1,1,1,0,0,0,0,1,1,0,0,1,1,0,1,0,0,1,0,0], int)
assert np.array_equal(cdblk, desired_cdblk)

sfn = 10
cdblk = nrBCH(trblk, sfn, hrf, lssb, idxoffset, ncellid)
# nid = 0, lssb = 8, idxoffset = 0, hrf = 0, sfn = 10
desired_cdblk = np.array([1,0,1,1,0,0,0,0,0,0,1,0,1,0,1,0,1,0,0,0,0,1,0,1,1,0,1,1,0,1,0,1,0,1,1,1,1,0,1,0,0,0,0,1,1,1,1,1,0,1,0,0,0,0,1,1,1,1,0,1,1,0,0,1,0,1,0,0,1,1,1,1,1,0,0,0,0,0,0,0,0,1,1,1,0,1,1,0,0,1,0,0,0,1,1,0,0,1,1,1,0,1,1,0,0,0,0,1,0,0,1,1,0,1,0,0,0,0,1,1,1,0,0,0,1,1,0,0,1,0,0,0,0,0,1,1,0,0,0,1,1,0,0,1,0,1,1,1,1,1,0,0,1,1,1,0,0,1,1,0,0,1,0,0,1,0,0,1,0,1,1,1,1,0,0,1,0,1,0,0,1,0,0,1,0,1,1,1,1,0,0,1,0,1,0,0,1,0,0,1,0,0,1,0,1,1,0,0,1,0,1,1,0,1,1,0,1,1,0,1,0,0,1,1,1,0,0,0,0,0,1,1,0,1,0,0,1,1,0,0,1,0,0,0,0,0,1,1,0,1,0,0,1,1,0,0,0,1,1,1,0,0,0,0,1,1,1,0,1,0,1,0,1,0,0,0,1,1,1,1,0,0,0,1,0,1,0,1,1,0,1,1,1,0,1,0,1,0,0,0,1,0,1,0,1,0,1,1,1,0,1,0,1,0,0,0,1,0,1,0,0,1,0,0,0,1,0,1,0,0,1,0,0,0,0,0,1,0,1,1,1,0,1,0,1,1,0,1,1,1,1,1,1,0,0,0,1,1,1,1,0,1,0,0,0,0,0,0,1,0,0,0,1,1,1,1,0,1,0,0,0,0,0,0,0,1,0,0,1,1,1,1,1,1,0,1,0,1,0,1,1,0,0,0,0,1,0,1,1,0,1,1,0,1,0,1,1,0,0,0,0,1,0,1,1,1,1,0,0,0,0,0,1,0,1,1,1,1,0,0,0,0,1,0,0,1,1,0,0,1,0,0,1,1,1,1,1,0,0,0,0,0,0,0,0,1,1,1,0,1,1,0,0,1,0,0,0,1,1,0,1,0,0,0,1,0,0,1,1,1,1,0,1,1,0,0,0,1,0,0,0,0,1,1,1,0,0,0,1,1,0,0,1,0,1,1,0,0,0,0,0,0,1,0,1,0,1,0,1,0,0,0,0,1,0,1,1,0,1,1,0,1,0,1,0,1,1,1,1,0,1,0,0,0,0,1,1,1,1,1,0,1,0,0,0,0,1,1,1,1,0,1,1,0,0,1,0,1,0,0,1,1,1,1,1,0,0,0,0,0,0,0,0,1,1,1,0,1,1,0,0,1,0,0,0,1,1,0,0,1,1,1,0,1,1,0,0,0,0,1,0,0,1,1,0,1,0,0,0,0,1,1,1,0,0,0,1,1,0,0,1,0,0,0,0,0,1,1,0,0,0,1,1,0,0,1,0,1,1,1,1,1,0,0,1,1,1,0,0,1,1,0,0,1,0,0,1,0,0,1,0,1,1,1,1,0,0,1,0,1,0,0,1,0,0,1,0,1,1,1,1,0,0,1,0,1,0,0,1,0,0,1,0,0,1,0,1,1,0,0,1,0,1,1,0,1,1,0,1,1,0,1,0,0,1,1,1,0,0,0,0,0,1,1,0,1,0,0,1,1,0,0,1,0,0,0,0,0,1,1,0,1,0,0,1,1,0,0,0,1,1,1,0,0,0,0,1,1,1,0,1,0,1,0,1,0,0,0,1,1,1,1,0,0,0,1,0,1,0,1,1,0,1,1,1,0,1,0,1,0,0,0,1,0,1,0,1,0,1,1,1,0,1,0,1,0,0,0,1,0,1,0,0,1,0,0,0,1,0,1,0,0,1,0,0,0,0,0,1,0,1,1,1,0,1,0,1,1,0,1,1,1,1,1], int)
assert np.array_equal(cdblk, desired_cdblk)

hrf = 1
ncellid = 321
cdblk = nrBCH(trblk, sfn, hrf, lssb, idxoffset, ncellid)
# nid = 321, lssb = 8, idxoffset = 0, hrf = 1, sfn = 10
desired_cdblk = np.array([1,0,0,1,0,0,1,1,0,0,0,1,0,0,0,1,1,1,0,1,0,0,0,1,1,0,0,1,0,0,0,0,0,0,0,0,1,1,1,1,1,1,0,1,1,0,0,0,0,1,0,0,1,1,0,1,0,0,1,1,0,0,0,0,0,1,0,0,1,1,0,1,0,1,0,1,1,0,0,1,0,0,0,0,1,1,1,1,1,0,1,1,0,0,0,1,1,1,0,1,0,0,0,1,1,1,1,1,1,0,0,1,1,0,0,1,0,0,1,1,0,1,1,1,1,0,0,0,1,0,0,1,0,0,1,1,1,1,1,0,1,1,1,0,1,0,1,0,0,0,0,0,1,1,0,1,1,1,0,1,1,1,0,1,0,0,0,1,0,1,1,0,1,1,1,1,1,1,1,0,0,0,1,0,0,1,0,1,1,1,0,0,0,0,0,0,1,1,1,1,0,0,1,0,0,1,1,1,0,0,1,1,1,1,0,0,0,0,0,1,0,1,0,0,0,1,0,0,1,1,0,1,1,0,1,0,0,1,1,0,0,1,1,1,1,1,1,0,1,0,0,1,0,1,0,1,0,1,0,0,1,1,0,1,1,1,0,0,1,1,1,1,0,1,1,1,1,1,1,0,1,1,1,1,1,1,0,0,0,0,0,0,1,1,1,1,0,1,0,0,1,1,1,0,0,0,1,1,1,1,0,0,0,1,1,1,1,1,0,1,1,1,0,1,0,0,0,1,0,0,0,0,0,1,1,0,1,1,1,0,0,0,1,0,0,0,1,1,0,1,0,1,1,0,0,1,0,0,1,1,1,0,0,0,0,1,1,1,1,0,1,0,0,0,0,0,1,0,1,1,0,1,0,0,1,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,1,1,1,0,0,0,1,0,1,0,1,0,0,0,1,1,0,0,1,1,1,1,0,0,1,1,1,0,1,0,1,1,0,1,1,1,1,1,1,0,0,0,0,0,0,0,1,1,0,1,1,1,1,1,1,0,0,1,1,0,1,0,1,0,0,0,1,1,1,1,0,0,1,0,0,0,0,0,1,0,1,1,1,0,0,0,1,0,1,1,0,0,1,0,1,0,1,0,1,0,0,0,0,0,0,1,0,0,1,0,1,1,1,0,0,1,0,0,1,1,0,0,0,1,0,0,0,1,1,1,0,1,0,0,0,1,1,0,0,1,0,0,0,0,0,0,0,0,1,1,1,1,1,1,0,1,1,0,0,0,0,1,0,0,1,1,0,1,0,0,1,1,0,0,0,0,0,1,0,0,1,1,0,1,0,1,0,1,1,0,0,1,0,0,0,0,1,1,1,1,1,0,1,1,0,0,0,1,1,1,0,1,0,0,0,1,1,1,1,1,1,0,0,1,1,0,0,1,0,0,1,1,0,1,1,1,1,0,0,0,1,0,0,1,0,0,1,1,1,1,1,0,1,1,1,0,1,0,1,0,0,0,0,0,1,1,0,1,1,1,0,1,1,1,0,1,0,0,0,1,0,1,1,0,1,1,1,1,1,1,1,0,0,0,1,0,0,1,0,1,1,1,0,0,0,0,0,0,1,1,1,1,0,0,1,0,0,1,1,1,0,0,1,1,1,1,0,0,0,0,0,1,0,1,0,0,0,1,0,0,1,1,0,1,1,0,1,0,0,1,1,0,0,1,1,1,1,1,1,0,1,0,0,1,0,1,0,1,0,1,0,0,1,1,0,1,1,1,0,0,1,1,1,1,0,1,1,1,1,1,1,0,1,1,1,1,1,1,0,0,0,0,0,0,1,1,1,1,0,1,0,0,1,1,1,0,0,0,1,1,1,1,0,0,0,1,1,1,1,1,0,1,1,1,0,1,0,0,0,1,0,0,0,0,0,1,1,0,1,1,1,0,0,0,1,0,0,0,1,1,0,1,0,1], int)
assert np.array_equal(cdblk, desired_cdblk)
2 changes: 1 addition & 1 deletion pyproject.toml
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Original file line number Diff line number Diff line change
Expand Up @@ -9,7 +9,7 @@ build-backend = "setuptools.build_meta"
py3gpp = ["codes/*.csv"]

[project]
version = "0.4.0"
version = "0.5.0"
authors = [
{name = "Benjamin Menküc", email = "[email protected]"},
]
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27 changes: 27 additions & 0 deletions tests/test_nrBCH.py
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@@ -0,0 +1,27 @@
import numpy as np
from py3gpp.nrBCH import nrBCH

def test_nrBCH():
trblk = np.zeros(24, int)
sfn = 0
hrf = 0
lssb = 8
idxoffset = 0
ncellid = 0
cdblk = nrBCH(trblk, sfn, hrf, lssb, idxoffset, ncellid)
# nid = 0, lssb = 8, idxoffset = 0, hrf = 0, sfn = 0
desired_cdblk = np.array([0,0,0,1,0,1,0,1,0,0,0,0,0,0,1,0,1,0,1,0,1,1,0,1,0,0,0,1,0,0,0,0,1,0,1,0,0,0,1,0,1,1,1,0,0,0,0,0,1,0,1,0,1,1,1,0,0,1,0,0,0,1,1,0,0,0,0,1,1,0,1,0,1,1,1,1,0,0,1,0,0,0,0,1,0,1,1,0,0,1,0,1,0,1,0,0,0,0,0,1,1,0,0,1,1,0,1,0,0,1,0,0,1,0,1,0,0,0,0,1,1,0,1,1,0,1,1,0,1,0,1,1,1,1,1,1,1,0,1,0,1,0,0,0,0,0,0,1,0,1,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,1,1,1,1,0,1,1,1,0,1,0,1,0,1,0,1,1,0,1,0,0,0,1,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,1,0,1,0,1,0,1,0,0,0,1,0,1,1,1,0,0,0,0,0,1,0,1,1,0,0,0,0,0,1,0,1,1,0,0,0,0,0,0,1,1,0,1,0,1,1,1,1,0,0,1,0,0,0,0,0,0,1,0,0,1,1,1,0,1,1,0,0,1,0,1,0,1,1,1,0,0,1,0,0,0,1,1,0,1,0,1,1,1,1,0,0,1,1,1,1,1,1,1,0,0,0,0,1,0,1,1,0,0,1,0,1,0,1,0,0,1,0,1,1,0,0,1,1,0,0,0,0,1,1,1,0,0,0,0,1,1,0,0,1,1,0,1,0,0,1,0,0,0,0,0,0,1,0,1,1,0,0,0,1,1,1,0,0,1,0,1,0,0,0,0,1,1,0,1,1,0,1,1,0,1,0,1,1,1,1,1,1,1,0,1,0,1,0,0,0,0,0,0,0,0,1,1,1,1,0,1,1,1,0,1,0,0,0,0,0,1,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,1,0,0,1,1,1,0,1,1,0,0,1,0,1,1,0,0,0,0,0,1,0,1,1,0,0,0,1,0,1,1,1,1,0,0,1,1,1,1,1,1,1,0,1,0,1,1,0,0,1,1,0,0,0,0,1,1,1,0,0,0,0,0,1,0,1,1,0,0,0,1,1,1,0,0,0,0,0,1,0,1,0,1,0,0,0,0,0,0,1,0,1,0,1,0,1,1,0,1,0,0,0,1,0,0,0,0,1,0,1,0,0,0,1,0,1,1,1,0,0,0,0,0,1,0,1,0,1,1,1,0,0,1,0,0,0,1,1,0,0,0,0,1,1,0,1,0,1,1,1,1,0,0,1,0,0,0,0,1,0,1,1,0,0,1,0,1,0,1,0,0,0,0,0,1,1,0,0,1,1,0,1,0,0,1,0,0,1,0,1,0,0,0,0,1,1,0,1,1,0,1,1,0,1,0,1,1,1,1,1,1,1,0,1,0,1,0,0,0,0,0,0,1,0,1,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,1,1,1,1,0,1,1,1,0,1,0,1,0,1,0,1,1,0,1,0,0,0,1,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,1,0,1,0,1,0,1,0,0,0,1,0,1,1,1,0,0,0,0,0,1,0,1,1,0,0,0,0,0,1,0,1,1,0,0,0,0,0,0,1,1,0,1,0,1,1,1,1,0,0,1,0,0,0,0,0,0,1,0,0,1,1,1,0,1,1,0,0,1,0,1,0,1,1,1,0,0,1,0,0,0,1,1,0,1,0,1,1,1,1,0,0,1,1,1,1,1,1,1,0,0,0,0,1,0,1,1,0,0,1,0,1,0,1,0,0,1,0,1,1,0,0,1,1,0,0,0,0,1,1,1,0,0,0,0,1,1,0,0,1,1,0,1,0,0,1,0,0], int)
assert np.array_equal(cdblk, desired_cdblk)

sfn = 10
cdblk = nrBCH(trblk, sfn, hrf, lssb, idxoffset, ncellid)
# nid = 0, lssb = 8, idxoffset = 0, hrf = 0, sfn = 10
desired_cdblk = np.array([1,0,1,1,0,0,0,0,0,0,1,0,1,0,1,0,1,0,0,0,0,1,0,1,1,0,1,1,0,1,0,1,0,1,1,1,1,0,1,0,0,0,0,1,1,1,1,1,0,1,0,0,0,0,1,1,1,1,0,1,1,0,0,1,0,1,0,0,1,1,1,1,1,0,0,0,0,0,0,0,0,1,1,1,0,1,1,0,0,1,0,0,0,1,1,0,0,1,1,1,0,1,1,0,0,0,0,1,0,0,1,1,0,1,0,0,0,0,1,1,1,0,0,0,1,1,0,0,1,0,0,0,0,0,1,1,0,0,0,1,1,0,0,1,0,1,1,1,1,1,0,0,1,1,1,0,0,1,1,0,0,1,0,0,1,0,0,1,0,1,1,1,1,0,0,1,0,1,0,0,1,0,0,1,0,1,1,1,1,0,0,1,0,1,0,0,1,0,0,1,0,0,1,0,1,1,0,0,1,0,1,1,0,1,1,0,1,1,0,1,0,0,1,1,1,0,0,0,0,0,1,1,0,1,0,0,1,1,0,0,1,0,0,0,0,0,1,1,0,1,0,0,1,1,0,0,0,1,1,1,0,0,0,0,1,1,1,0,1,0,1,0,1,0,0,0,1,1,1,1,0,0,0,1,0,1,0,1,1,0,1,1,1,0,1,0,1,0,0,0,1,0,1,0,1,0,1,1,1,0,1,0,1,0,0,0,1,0,1,0,0,1,0,0,0,1,0,1,0,0,1,0,0,0,0,0,1,0,1,1,1,0,1,0,1,1,0,1,1,1,1,1,1,0,0,0,1,1,1,1,0,1,0,0,0,0,0,0,1,0,0,0,1,1,1,1,0,1,0,0,0,0,0,0,0,1,0,0,1,1,1,1,1,1,0,1,0,1,0,1,1,0,0,0,0,1,0,1,1,0,1,1,0,1,0,1,1,0,0,0,0,1,0,1,1,1,1,0,0,0,0,0,1,0,1,1,1,1,0,0,0,0,1,0,0,1,1,0,0,1,0,0,1,1,1,1,1,0,0,0,0,0,0,0,0,1,1,1,0,1,1,0,0,1,0,0,0,1,1,0,1,0,0,0,1,0,0,1,1,1,1,0,1,1,0,0,0,1,0,0,0,0,1,1,1,0,0,0,1,1,0,0,1,0,1,1,0,0,0,0,0,0,1,0,1,0,1,0,1,0,0,0,0,1,0,1,1,0,1,1,0,1,0,1,0,1,1,1,1,0,1,0,0,0,0,1,1,1,1,1,0,1,0,0,0,0,1,1,1,1,0,1,1,0,0,1,0,1,0,0,1,1,1,1,1,0,0,0,0,0,0,0,0,1,1,1,0,1,1,0,0,1,0,0,0,1,1,0,0,1,1,1,0,1,1,0,0,0,0,1,0,0,1,1,0,1,0,0,0,0,1,1,1,0,0,0,1,1,0,0,1,0,0,0,0,0,1,1,0,0,0,1,1,0,0,1,0,1,1,1,1,1,0,0,1,1,1,0,0,1,1,0,0,1,0,0,1,0,0,1,0,1,1,1,1,0,0,1,0,1,0,0,1,0,0,1,0,1,1,1,1,0,0,1,0,1,0,0,1,0,0,1,0,0,1,0,1,1,0,0,1,0,1,1,0,1,1,0,1,1,0,1,0,0,1,1,1,0,0,0,0,0,1,1,0,1,0,0,1,1,0,0,1,0,0,0,0,0,1,1,0,1,0,0,1,1,0,0,0,1,1,1,0,0,0,0,1,1,1,0,1,0,1,0,1,0,0,0,1,1,1,1,0,0,0,1,0,1,0,1,1,0,1,1,1,0,1,0,1,0,0,0,1,0,1,0,1,0,1,1,1,0,1,0,1,0,0,0,1,0,1,0,0,1,0,0,0,1,0,1,0,0,1,0,0,0,0,0,1,0,1,1,1,0,1,0,1,1,0,1,1,1,1,1], int)
assert np.array_equal(cdblk, desired_cdblk)

hrf = 1
ncellid = 321
cdblk = nrBCH(trblk, sfn, hrf, lssb, idxoffset, ncellid)
# nid = 321, lssb = 8, idxoffset = 0, hrf = 1, sfn = 10
desired_cdblk = np.array([1,0,0,1,0,0,1,1,0,0,0,1,0,0,0,1,1,1,0,1,0,0,0,1,1,0,0,1,0,0,0,0,0,0,0,0,1,1,1,1,1,1,0,1,1,0,0,0,0,1,0,0,1,1,0,1,0,0,1,1,0,0,0,0,0,1,0,0,1,1,0,1,0,1,0,1,1,0,0,1,0,0,0,0,1,1,1,1,1,0,1,1,0,0,0,1,1,1,0,1,0,0,0,1,1,1,1,1,1,0,0,1,1,0,0,1,0,0,1,1,0,1,1,1,1,0,0,0,1,0,0,1,0,0,1,1,1,1,1,0,1,1,1,0,1,0,1,0,0,0,0,0,1,1,0,1,1,1,0,1,1,1,0,1,0,0,0,1,0,1,1,0,1,1,1,1,1,1,1,0,0,0,1,0,0,1,0,1,1,1,0,0,0,0,0,0,1,1,1,1,0,0,1,0,0,1,1,1,0,0,1,1,1,1,0,0,0,0,0,1,0,1,0,0,0,1,0,0,1,1,0,1,1,0,1,0,0,1,1,0,0,1,1,1,1,1,1,0,1,0,0,1,0,1,0,1,0,1,0,0,1,1,0,1,1,1,0,0,1,1,1,1,0,1,1,1,1,1,1,0,1,1,1,1,1,1,0,0,0,0,0,0,1,1,1,1,0,1,0,0,1,1,1,0,0,0,1,1,1,1,0,0,0,1,1,1,1,1,0,1,1,1,0,1,0,0,0,1,0,0,0,0,0,1,1,0,1,1,1,0,0,0,1,0,0,0,1,1,0,1,0,1,1,0,0,1,0,0,1,1,1,0,0,0,0,1,1,1,1,0,1,0,0,0,0,0,1,0,1,1,0,1,0,0,1,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,1,1,1,0,0,0,1,0,1,0,1,0,0,0,1,1,0,0,1,1,1,1,0,0,1,1,1,0,1,0,1,1,0,1,1,1,1,1,1,0,0,0,0,0,0,0,1,1,0,1,1,1,1,1,1,0,0,1,1,0,1,0,1,0,0,0,1,1,1,1,0,0,1,0,0,0,0,0,1,0,1,1,1,0,0,0,1,0,1,1,0,0,1,0,1,0,1,0,1,0,0,0,0,0,0,1,0,0,1,0,1,1,1,0,0,1,0,0,1,1,0,0,0,1,0,0,0,1,1,1,0,1,0,0,0,1,1,0,0,1,0,0,0,0,0,0,0,0,1,1,1,1,1,1,0,1,1,0,0,0,0,1,0,0,1,1,0,1,0,0,1,1,0,0,0,0,0,1,0,0,1,1,0,1,0,1,0,1,1,0,0,1,0,0,0,0,1,1,1,1,1,0,1,1,0,0,0,1,1,1,0,1,0,0,0,1,1,1,1,1,1,0,0,1,1,0,0,1,0,0,1,1,0,1,1,1,1,0,0,0,1,0,0,1,0,0,1,1,1,1,1,0,1,1,1,0,1,0,1,0,0,0,0,0,1,1,0,1,1,1,0,1,1,1,0,1,0,0,0,1,0,1,1,0,1,1,1,1,1,1,1,0,0,0,1,0,0,1,0,1,1,1,0,0,0,0,0,0,1,1,1,1,0,0,1,0,0,1,1,1,0,0,1,1,1,1,0,0,0,0,0,1,0,1,0,0,0,1,0,0,1,1,0,1,1,0,1,0,0,1,1,0,0,1,1,1,1,1,1,0,1,0,0,1,0,1,0,1,0,1,0,0,1,1,0,1,1,1,0,0,1,1,1,1,0,1,1,1,1,1,1,0,1,1,1,1,1,1,0,0,0,0,0,0,1,1,1,1,0,1,0,0,1,1,1,0,0,0,1,1,1,1,0,0,0,1,1,1,1,1,0,1,1,1,0,1,0,0,0,1,0,0,0,0,0,1,1,0,1,1,1,0,0,0,1,0,0,0,1,1,0,1,0,1], int)
assert np.array_equal(cdblk, desired_cdblk)
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