tests_failed = False
      else:
        tests_failed = re.search(TESTS_FAILED_RE, backtrack_line)
      if build_failed or tests_failed:
        log_fragment = '\n'.join(
            log_lines[max(k - 20, 0):min(end_line + 1, len(log_lines) - 1)])
        lines['log_fragment'] = log_fragment
        lines['status'] = (InvokeStatus.build_failed if build_failed

                All the scopes required by all the dependencies in a single string
                separated by spaces, as defined in the OAuth2 specification.
                """
            ),

  # Load first party dynamic kernels.
  _tf_dir = _os.path.dirname(_current_file_location)
  _kernel_dir = _os.path.join(_tf_dir, "core", "kernels")
  if _os.path.exists(_kernel_dir):
    _ll.load_library(_kernel_dir)

  # Load third party dynamic kernels.
  for _s in _site_packages_dirs:
    _plugin_dir = _os.path.join(_s, "tensorflow-plugins")
    if _os.path.exists(_plugin_dir):
      _ll.load_library(_plugin_dir)

            query_components = []
            for key in query:
                if query[key] is not None:
                    query_components.append("%s=%s" % (key, query[key]))

            query_string = '&'.join(query_components)
            sts_ep_url = self.sts_ep
            if query_string:
                sts_ep_url = self.sts_ep + '?' + query_string

            response = self._http.urlopen(

def get_enum_status_code():
    return "foo bar"


@app.get("/query/frozenset")
def get_query_type_frozenset(query: FrozenSet[int] = Query(...)):
    return ",".join(map(str, sorted(query)))


@app.get("/query/list")
def get_query_list(device_ids: List[int] = Query()) -> List[int]:
    return device_ids


@app.get("/query/list-default")

  # Load first party dynamic kernels.
  _tf_dir = _os.path.dirname(_current_file_location)
  _kernel_dir = _os.path.join(_tf_dir, "core", "kernels")
  if _os.path.exists(_kernel_dir):
    _ll.load_library(_kernel_dir)

  # Load third party dynamic kernels.
  for _s in _site_packages_dirs:
    _plugin_dir = _os.path.join(_s, "tensorflow-plugins")
    if _os.path.exists(_plugin_dir):
      _ll.load_library(_plugin_dir)

            }

            arr = qp.split("&");
            arr.forEach(function (v,i,_arr) { _arr[i] = '"' + v.replace('=', '":"') + '"';});
            qp = qp ? JSON.parse('{' + arr.join() + '}',
                    function (key, value) {
                        return key === "" ? value : decodeURIComponent(value);
                    }
            ) : {};

  write_to_bazelrc('test:v1 --test_tag_filters=%s' %
                   ','.join(test_and_build_filters + test_only_filters))
  write_to_bazelrc('test:v1 --build_tag_filters=%s' %
                   ','.join(test_and_build_filters))
  write_to_bazelrc(
      'test:v2 --test_tag_filters=%s' %
      ','.join(test_and_build_filters + test_only_filters + ['-v1only']))
  write_to_bazelrc('test:v2 --build_tag_filters=%s' %