# testvector_split.py
# Split a testvector by information read from XML menu.
from tdf.core.testvector import TestVector
from tdf.core.xmlmenu import XmlMenu
from tdf.extern import argparse
import sys, os, copy
parser = argparse.ArgumentParser(description="Split text vector into modules by information from XML file")
parser.add_argument('testvector', help="test vector file")
parser.add_argument('menu', help="XML menu file")
parser.add_argument('-o', metavar='<path>', default=os.getcwd(), help="path to output location")
args = parser.parse_args(TDF_ARGS)
TDF_INFO("reading", args.testvector)
tv = TestVector(args.testvector)
TDF_INFO("reading", args.menu)
menu = XmlMenu(args.menu)
TDF_INFO("menu name:", menu.name)
TDF_INFO("menu UUID:", menu.uuid_menu)
TDF_INFO("firmware UUID:", menu.uuid_firmware)
# Split algorithms by modules.
modules = {}
for algorithm in menu.algorithms:
module_id = algorithm.module_id
if module_id not in modules.keys():
modules[module_id] = []
modules[module_id].append(algorithm)
from tdf.extern import argparse
from tdf.core import TDF
from tdf.core.binutils import bitmask
from collections import Counter
import sys, os
import time
DEFAULT_OFFSET = 10
MAX_MODULES = 6
FW_BUILD = 0xabc3
FINOR_CABLE = 0
VETO_CABLE = 1
FINOR2TCDS_CABLE = 2
parser = argparse.ArgumentParser()
parser.add_argument('--modules',
metavar='<n>[-<m>]',
help="single module or range of modules (default 0-5)")
parser.add_argument(
'--offset',
metavar='<n>',
default=DEFAULT_OFFSET,
type=int,
help="take sample data with offset (default {})".format(DEFAULT_OFFSET))
parser.add_argument('--reset',
action='store_true',
help="reset AMC502 logic before test")
args = parser.parse_args(TDF_ARGS)
# variable for the final output
