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#!/usr/bin/env python3

import unittest

from framework import VppTestCase, VppTestRunner


class TestCrypto(VppTestCase):
    """ Crypto Test Case """

    @classmethod
    def setUpClass(cls):
        super(TestCrypto, cls).setUpClass()

    @classmethod
    def tearDownClass(cls):
        super(TestCrypto, cls).tearDownClass()

    def test_crypto(self):
        """ Crypto Unit Tests """
        error = self.vapi.cli("test crypto")

        if error:
            self.logger.critical(error)
        self.assertNotIn("FAIL", error)

if __name__ == '__main__':
    unittest.main(testRunner=VppTestRunner)
argparse.ArgumentParser() ap.add_argument("--log-file", default=DEFAULT_LOGFILE, help="Log file [%s]" % DEFAULT_LOGFILE) ap.add_argument("--log-level", default=DEFAULT_LOGLEVEL, choices=["debug", "info", "warning", "error", "critical"], help="Logging level [%s]" % DEFAULT_LOGLEVEL) ap.add_argument("--type", '-t', metavar="siphon_type", default=DEFAULT_SIPHON, choices=siphon.process.siphons.keys(), help="Siphon type to process [%s]" % DEFAULT_SIPHON) ap.add_argument("--format", '-f', default=DEFAULT_FORMAT, choices=siphon.process.formats.keys(), help="Output format to generate [%s]" % DEFAULT_FORMAT) ap.add_argument("--output", '-o', metavar="file", default=DEFAULT_OUTPUT, help="Output file (uses stdout if not defined) [%s]" % DEFAULT_OUTPUT) ap.add_argument("--templates", metavar="directory", default=DEFAULT_TEMPLATES, help="Path to render templates directory [%s]" % DEFAULT_TEMPLATES) ap.add_argument("input", nargs='+', metavar="input_file", help="Input .siphon files") args = ap.parse_args() logging.basicConfig(filename=args.log_file, level=getattr(logging, args.log_level.upper(), None)) log = logging.getLogger("siphon_process") # Determine where to send the generated output if args.output is None: out = sys.stdout else: out = open(args.output, "w+") # Get our processor klass = siphon.process.siphons[args.type] processor = klass(template_directory=args.templates, format=args.format) # Load the input files processor.load_json(args.input) # Process the data processor.process(out=out) # All done