'{0:03}'.format(func_id_2)] = copy.deepcopy(
list_of_necessary_patterns)
else:
string += "\t" + "x" * data_width
scanning_test_f1 = format(
int(scanning_test_f1, 2) | int(scanning_test_f1_f2, 2),
'b').zfill(data_width)
scanning_string += "\t" + str(scanning_test_f1_f2)
#-------------------------------------------------------------------------------
# This part fixes the scanning test results for the current function pair
#-------------------------------------------------------------------------------
scanning_test_f1, list_of_necessary_patterns = package.run_scanning_optimization(
scanning_test_f1, function_dict, func_id_1, debug, verbose,
list_of_necessary_patterns)
scanning_string += "\t" + str(scanning_test_f1)
scanning_table_file.write(scanning_string + "\n")
table_file.write(string + "\n")
# Print patterns and functions.. This will be used to prepare test patterns for SAF testing in turbo tester
# This should only be used for VLIW experiment. Modification will be needed for other processors
if verbose:
print "-----------------------------------------------------"
print "function_1: ", func_id_1
opcode = "{0:04b}".format((func_id_1 - 2))
for j in list_of_necessary_patterns:
saf_test_patterns_file.write(function_dict[j][0] +
'{0:03}'.format(func_id_2)] = copy.deepcopy(
final_set_of_patterns)
else:
scanning_test_f1_f2 = "0" * data_width
string += "\t" + "x" * data_width
scanning_test_f1 = format(
int(scanning_test_f1, 2) | int(scanning_test_f1_f2, 2),
'b').zfill(data_width)
scanning_string += "\t" + str(scanning_test_f1_f2)
#-------------------------------------------------------------------------------
# This part fixes the scanning test results for the current function pair
#-------------------------------------------------------------------------------
scanning_test_f1, best_solution = package.run_scanning_optimization(
scanning_test_f1, function_dict, func_id_1, debug, verbose,
best_solution)
scanning_string += "\t" + str(scanning_test_f1)
scanning_table_file.write(scanning_string + "\n")
table_file.write(string + "\n")
print "reporting test length for functions:"
for func_id_1 in range(2, len_of_list):
patterns_for_current_function = []
#print "starting with list: ", final_set_of_patterns, "length:", len(final_set_of_patterns)
for func2 in range(2, len_of_list):
or_op = "0" * data_width
if func2 != func_id_1:
for j in final_set_of_patterns:
#if j not in patterns_for_current_function:
