6bbdd48815
Result of running $ pyupgrade --py38-plus $(git ls-files | grep ".py$") This was inspired by Nova [1] Fixed PEP8 errors introduced by pyupgrade by running: $ autopep8 --select=E127,E128,E501 --max-line-length 79 -r \ --in-place octavia and manual updates. [1]: https://review.opendev.org/c/openstack/nova/+/896986 Change-Id: I9399730fed16b85686caa586788a1bc03ebd123a
212 lines
9.6 KiB
Python
Executable File
212 lines
9.6 KiB
Python
Executable File
#!/usr/bin/env python
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# Copyright 2016 Hewlett Packard Enterprise Development Company LP
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#
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# Licensed under the Apache License, Version 2.0 (the "License"); you may
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# not use this file except in compliance with the License. You may obtain
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# a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
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# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
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# License for the specific language governing permissions and limitations
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# under the License.
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#
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import argparse
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import importlib
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import os
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import graphviz
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from taskflow import engines
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from octavia.api.drivers import utils
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from octavia.common import constants
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from octavia.common import rpc
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from octavia.tests.common import data_model_helpers as dmh
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def main():
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arg_parser = argparse.ArgumentParser(
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description='Generate graphviz representations of the '
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'Octavia TaskFlow flows.')
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arg_parser.add_argument('-f', '--flow-list', required=True,
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help='Path to flow list file')
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arg_parser.add_argument('-o', '--output-directory', required=True,
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help='Path to flow list file')
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args = arg_parser.parse_args()
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generate(args.flow_list, args.output_directory)
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def generate(flow_list, output_directory):
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# Create the diagrams
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base_path = os.path.join(os.path.dirname(os.path.realpath(__file__)),
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os.path.pardir)
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diagram_list = []
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with open(os.path.join(base_path, flow_list)) as flowlist:
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for row in flowlist:
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if row.startswith('#'):
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continue
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current_tuple = tuple(row.strip().split(' '))
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current_class = getattr(importlib.import_module(current_tuple[0]),
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current_tuple[1])
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current_instance = current_class()
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get_flow_method = getattr(current_instance, current_tuple[2])
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if (current_tuple[1] == 'AmphoraFlows' and
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current_tuple[2] == 'get_failover_amphora_flow'):
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amp1 = dmh.generate_amphora()
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amp2 = dmh.generate_amphora()
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lb = dmh.generate_load_balancer(amphorae=[amp1, amp2])
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if 'v2' in current_tuple[0]:
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lb = utils.lb_dict_to_provider_dict(lb.to_dict())
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amp1 = amp1.to_dict()
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current_engine = engines.load(
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get_flow_method(amp1, 2))
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elif (current_tuple[1] == 'LoadBalancerFlows' and
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current_tuple[2] == 'get_create_load_balancer_flow'):
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class fake_notifier:
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def prepare(self):
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pass
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rpc.NOTIFIER = fake_notifier()
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rpc.TRANSPORT = "fake"
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rpc.NOTIFICATION_TRANSPORT = "fake"
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current_engine = engines.load(
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get_flow_method(
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constants.TOPOLOGY_ACTIVE_STANDBY))
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elif (current_tuple[1] == 'LoadBalancerFlows' and
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current_tuple[2] == 'get_delete_load_balancer_flow'):
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lb = dmh.generate_load_balancer()
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if 'v2' in current_tuple[0]:
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lb = utils.lb_dict_to_provider_dict(lb.to_dict())
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delete_flow = get_flow_method(lb)
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else:
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delete_flow, store = get_flow_method(lb)
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current_engine = engines.load(delete_flow)
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elif (current_tuple[1] == 'LoadBalancerFlows' and
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current_tuple[2] == 'get_cascade_delete_load_balancer_flow'):
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listeners = [{constants.LISTENER_ID:
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'368dffc7-7440-4ee0-aca5-11052d001b05'},
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{constants.LISTENER_ID:
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'd9c45ec4-9dbe-491b-9f21-6886562348bf'}]
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pools = [{constants.POOL_ID:
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'6886a40b-1f2a-41a3-9ece-5c51845a7ac4'},
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{constants.POOL_ID:
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'08ada7a2-3eff-42c6-bdd8-b6f2ecd73358'}]
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lb = dmh.generate_load_balancer()
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if 'v2' in current_tuple[0]:
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lb = utils.lb_dict_to_provider_dict(lb.to_dict())
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delete_flow = get_flow_method(lb, listeners, pools)
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else:
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delete_flow, store = get_flow_method(lb)
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current_engine = engines.load(delete_flow)
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elif (current_tuple[1] == 'LoadBalancerFlows' and
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current_tuple[2] == 'get_failover_LB_flow'):
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amp1 = dmh.generate_amphora()
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amp2 = dmh.generate_amphora()
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lb = dmh.generate_load_balancer(
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amphorae=[amp1, amp2],
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topology=constants.TOPOLOGY_ACTIVE_STANDBY)
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if 'v2' in current_tuple[0]:
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lb = utils.lb_dict_to_provider_dict(lb.to_dict())
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flavor = {constants.LOADBALANCER_TOPOLOGY:
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constants.TOPOLOGY_ACTIVE_STANDBY}
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lb[constants.FLAVOR] = flavor
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amp1 = amp1.to_dict()
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amp2 = amp2.to_dict()
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current_engine = engines.load(
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get_flow_method([amp1, amp2], lb))
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elif (current_tuple[1] == 'MemberFlows' and
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current_tuple[2] == 'get_batch_update_members_flow'):
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current_engine = engines.load(
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get_flow_method([], [], []))
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else:
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current_engine = engines.load(get_flow_method())
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current_engine.compile()
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# We need to render svg and not dot here so we can scale
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# the image in the restructured text page
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src = graphviz.Source(current_engine.compilation.
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execution_graph.export_to_dot())
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src.format = 'svg'
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src.render(filename=current_tuple[1] + '-' + current_tuple[2],
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directory=os.path.join(base_path, output_directory),
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cleanup=True)
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diagram_list.append((current_tuple[1], current_tuple[2]))
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# Create the class docs
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diagram_list = sorted(diagram_list, key=getDiagKey)
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class_tracker = None
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current_doc_file = None
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for doc_tuple in diagram_list:
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# If we are still working on the same class, append
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if doc_tuple[0] == class_tracker:
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current_doc_file.write('\n')
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current_doc_file.write(doc_tuple[1] + '\n')
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current_doc_file.write('-' * len(doc_tuple[1]) + '\n')
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current_doc_file.write('\n')
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current_doc_file.write('.. only:: html\n')
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current_doc_file.write('\n')
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current_doc_file.write(' .. image:: ' + doc_tuple[0] +
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'-' + doc_tuple[1] + '.svg\n')
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current_doc_file.write(' :width: 660px\n')
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current_doc_file.write(' :target: ../../../_images/' +
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doc_tuple[0] +
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'-' + doc_tuple[1] + '.svg\n')
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current_doc_file.write('\n')
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current_doc_file.write('.. only:: latex\n')
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current_doc_file.write('\n')
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current_doc_file.write(' .. image:: ' + doc_tuple[0] +
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'-' + doc_tuple[1] + '.svg\n')
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current_doc_file.write(' :width: 660px\n')
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# First or new class, create the file
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else:
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if current_doc_file is not None:
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current_doc_file.close()
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current_doc_file = open(os.path.join(
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base_path, output_directory, doc_tuple[0] + '.rst'), 'w+')
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class_tracker = doc_tuple[0]
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file_title = constants.FLOW_DOC_TITLES.get(doc_tuple[0],
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'Unknown Flows')
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current_doc_file.write('=' * len(file_title) + '\n')
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current_doc_file.write(file_title + '\n')
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current_doc_file.write('=' * len(file_title) + '\n')
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current_doc_file.write('\n')
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current_doc_file.write('.. contents::\n')
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current_doc_file.write(' :depth: 2\n')
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current_doc_file.write(' :backlinks: top\n')
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current_doc_file.write('\n')
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current_doc_file.write('.. only:: html\n')
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current_doc_file.write('\n')
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current_doc_file.write(' Click on any flow to view full size.\n')
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current_doc_file.write('\n')
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current_doc_file.write(doc_tuple[1] + '\n')
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current_doc_file.write('-' * len(doc_tuple[1]) + '\n')
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current_doc_file.write('\n')
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current_doc_file.write('.. only:: html\n')
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current_doc_file.write('\n')
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current_doc_file.write(' .. image:: ' + doc_tuple[0] +
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'-' + doc_tuple[1] + '.svg\n')
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current_doc_file.write(' :width: 660px\n')
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current_doc_file.write(' :target: ../../../_images/' +
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doc_tuple[0] +
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'-' + doc_tuple[1] + '.svg\n')
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current_doc_file.write('\n')
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current_doc_file.write('.. only:: latex\n')
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current_doc_file.write('\n')
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current_doc_file.write(' .. image:: ' + doc_tuple[0] +
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'-' + doc_tuple[1] + '.svg\n')
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current_doc_file.write(' :width: 660px\n')
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current_doc_file.close()
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def getDiagKey(item):
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return item[0] + '-' + item[1]
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if __name__ == "__main__":
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main()
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