text stringlengths 1 93.6k |
|---|
elif macpdutype == 1:
|
subidx = 2
|
macpdusubtype = int(bitstream[subidx:subidx + 1], 2)
|
if macpdusubtype == 0:
|
return Fragtype.MAC_INNER
|
elif macpdusubtype == 1:
|
return Fragtype.MAC_END
|
def getStartFbi(in_pdu):
|
bitstream = hex_to_binary(in_pdu)
|
return int(bitstream[2:3], 2)
|
def getFrEndFbi(in_pdu):
|
bitstream = hex_to_binary(in_pdu)
|
return int(bitstream[3:4], 2)
|
def stripFillingBin(in_bitstream):
|
bitstream = in_bitstream
|
for x in xrange(0, len(bitstream)):
|
streamidx = len(bitstream) - 1 - x
|
if int(bitstream[streamidx:streamidx + 1], 2) == 1:
|
return bitstream[:len(bitstream) - x - 1]
|
def stripFillingHex(in_pdu):
|
bitstream = hex_to_binary(in_pdu)
|
for x in xrange(0, len(bitstream)):
|
streamidx = len(bitstream) - 1 - x
|
if int(bitstream[streamidx:streamidx + 1], 2) == 1:
|
return bitstream[:len(bitstream) - x - 1]
|
def getFragTmsdu(in_bitstream):
|
if len(in_bitstream) == 272:
|
return in_bitstream[4:-4]
|
return in_bitstream[4:]
|
def getEndTmsdu(in_bitstream):
|
offset = 11
|
mac_end_li = int(in_bitstream[5:5 + 6], 2)
|
if int(in_bitstream[offset:offset + 1], 2) == 1:
|
offset = offset + 1 + 8
|
else:
|
offset += 1
|
if int(in_bitstream[offset:offset + 1], 2) == 1:
|
offset = offset + 1 + 22
|
if int(in_bitstream[offset:offset + 1], 2) == 1:
|
offset = offset + 1 + 10
|
else:
|
offset += 1
|
else:
|
offset += 1
|
# if int(in_bitstream[offset:offset+2],2) == 0:
|
# offset = offset + 4
|
# else:
|
# offset = offset + 2
|
outtmsdu = in_bitstream[offset:offset + (mac_end_li * 8)]
|
# print "END_MAC_LEN: " + str(mac_end_li*8)
|
# print "END_MAC_LEN_STRIPED: " + str(len(outtmsdu))
|
return outtmsdu
|
# <FILESEP>
|
#!/usr/bin/env python3
|
"""
|
major actions here: fine-tune the features and evaluate different settings
|
"""
|
import os
|
import torch
|
import warnings
|
import numpy as np
|
import random
|
import time
|
from time import sleep
|
from random import randint
|
import src.utils.logging as logging
|
from src.configs.config import get_cfg
|
from src.data import loader as data_loader
|
from src.engine.evaluator import Evaluator
|
from src.engine.trainer import Trainer
|
from src.models.build_model import build_model
|
from src.utils.file_io import PathManager
|
from launch import default_argument_parser, logging_train_setup
|
warnings.filterwarnings("ignore")
|
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.