])
+def gather(args):
+ result = dict()
+ result["name"] = gather_name(args)
+ result["leaves"] = list(gather_cpuid_leaves(args))
+ result["via"], result["msr"] = gather_msr()
+ result["model"] = list(gather_model(args))
+ return result
+
+
+def output_to_text(data):
+ output = list()
+
+ output.append("model name\t: {}".format(data["name"]))
+
+ output.append("CPU:")
+ for leave in data["leaves"]:
+ output.append(" {}".format(leave))
+ output.append("")
+
+ if data["via"] is not None:
+ output.append("MSR{}:".format(data["via"]))
+ for key, value in sorted(data["msr"].items()):
+ output.append(" 0x{:x}: 0x{:016x}\n".format(int(key), value))
+
+ for o in data["model"]:
+ output.append(json.dumps(o))
+
+ return "\n".join(output)
+
+
def main():
parser = argparse.ArgumentParser(description="Gather cpu test data")
parser.add_argument(
if os.path.isfile(f):
args.path_to_qemu = f
- name = gather_name(args)
- print("model name\t: {}".format(name))
-
- leaves = gather_cpuid_leaves(args)
- print("CPU:")
- for leave in leaves:
- print(" {}".format(leave))
- print()
-
- via, msr = gather_msr()
- if via is not None:
- print("MSR{}:".format(via))
- for key, value in sorted(msr.items()):
- print(" 0x{:x}: 0x{:016x}\n".format(int(key), value))
-
- model = gather_model(args)
- for o in model:
- print(json.dumps(o))
+ data = gather(args)
+ print(output_to_text(data))
if __name__ == "__main__":