As a preparation to move this module to neutron repo, change the copyright notice to the style commonly found there.
Also, add myself as co-author. Signed-off-by: YAMAMOTO Takashi <[email protected]> --- ryu/cmd/ofa_neutron_agent.py | 23 ++++++++++++----------- 1 file changed, 12 insertions(+), 11 deletions(-) diff --git a/ryu/cmd/ofa_neutron_agent.py b/ryu/cmd/ofa_neutron_agent.py index f127a52..59a9a1b 100755 --- a/ryu/cmd/ofa_neutron_agent.py +++ b/ryu/cmd/ofa_neutron_agent.py @@ -1,21 +1,22 @@ #!/usr/bin/env python -# Copyright (C) 2014 Nippon Telegraph and Telephone Corporation. # Copyright (C) 2014 VA Linux Systems Japan K.K. +# All Rights Reserved. # -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); you may +# not use this file except in compliance with the License. You may obtain +# a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT +# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the +# License for the specific language governing permissions and limitations +# under the License. # -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or -# implied. -# See the License for the specific language governing permissions and -# limitations under the License. # @author: Fumihiko Kakuma, VA Linux Systems Japan K.K. +# @author: YAMAMOTO Takashi, VA Linux Systems Japan K.K. from ryu.lib import hub hub.patch() -- 1.8.3.1 ------------------------------------------------------------------------------ HPCC Systems Open Source Big Data Platform from LexisNexis Risk Solutions Find What Matters Most in Your Big Data with HPCC Systems Open Source. Fast. Scalable. Simple. Ideal for Dirty Data. Leverages Graph Analysis for Fast Processing & Easy Data Exploration http://p.sf.net/sfu/hpccsystems _______________________________________________ Ryu-devel mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/ryu-devel
