Fix unused and conflicting variables
Prefix '_' to denote unused variables Suffix '_' to avoid conflicting with Python built-in funcs Change-Id: I4e0d0b8f88e5c93222fbd7f8dc7cf626923f738e
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@@ -342,7 +342,7 @@ class PatternCompiler(object):
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node.add(tr.Node(flow.retry))
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node.add(tr.Node(flow.retry))
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decomposed_members = {}
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decomposed_members = {}
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for item in flow:
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for item in flow:
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subgraph, subnode = self._flatten(item, node)
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subgraph, _subnode = self._flatten(item, node)
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decomposed_members[item] = subgraph
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decomposed_members[item] = subgraph
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if subgraph.number_of_nodes():
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if subgraph.number_of_nodes():
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graph = gr.merge_graphs([graph, subgraph])
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graph = gr.merge_graphs([graph, subgraph])
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@@ -149,9 +149,9 @@ class DeclareSuccess(task.Task):
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class DummyUser(object):
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class DummyUser(object):
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def __init__(self, user, id):
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def __init__(self, user, id_):
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self.user = user
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self.user = user
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self.id = id
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self.id = id_
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# Resources (db handles and similar) of course can *not* be persisted so we
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# Resources (db handles and similar) of course can *not* be persisted so we
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@@ -174,7 +174,7 @@ flow.add(sub_flow)
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# prepopulating this allows the tasks that dependent on the 'request' variable
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# prepopulating this allows the tasks that dependent on the 'request' variable
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# to start processing (in this case this is the ExtractInputRequest task).
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# to start processing (in this case this is the ExtractInputRequest task).
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store = {
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store = {
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'request': DummyUser(user="bob", id="1.35"),
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'request': DummyUser(user="bob", id_="1.35"),
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}
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}
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eng = engines.load(flow, engine='serial', store=store)
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eng = engines.load(flow, engine='serial', store=store)
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@@ -48,7 +48,7 @@ def _exec(cmd, add_env=None):
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stdout=subprocess.PIPE,
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stdout=subprocess.PIPE,
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stderr=sys.stderr)
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stderr=sys.stderr)
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stdout, stderr = proc.communicate()
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stdout, _stderr = proc.communicate()
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rc = proc.returncode
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rc = proc.returncode
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if rc != 0:
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if rc != 0:
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raise RuntimeError("Could not run %s [%s]", cmd, rc)
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raise RuntimeError("Could not run %s [%s]", cmd, rc)
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@@ -143,7 +143,7 @@ class AllocateIP(task.Task):
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def execute(self, vm_spec):
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def execute(self, vm_spec):
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ips = []
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ips = []
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for i in range(0, vm_spec.get('ips', 0)):
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for _i in range(0, vm_spec.get('ips', 0)):
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ips.append("192.168.0.%s" % (random.randint(1, 254)))
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ips.append("192.168.0.%s" % (random.randint(1, 254)))
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return ips
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return ips
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@@ -131,7 +131,7 @@ def calculate(engine_conf):
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task_names = []
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task_names = []
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# Compose our workflow.
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# Compose our workflow.
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height, width = IMAGE_SIZE
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height, _width = IMAGE_SIZE
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chunk_size = int(math.ceil(height / float(CHUNK_COUNT)))
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chunk_size = int(math.ceil(height / float(CHUNK_COUNT)))
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for i in compat_range(0, CHUNK_COUNT):
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for i in compat_range(0, CHUNK_COUNT):
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chunk_name = 'chunk_%s' % i
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chunk_name = 'chunk_%s' % i
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@@ -205,7 +205,7 @@ class FSM(object):
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def run(self, event, initialize=True):
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def run(self, event, initialize=True):
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"""Runs the state machine, using reactions only."""
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"""Runs the state machine, using reactions only."""
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for transition in self.run_iter(event, initialize=initialize):
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for _transition in self.run_iter(event, initialize=initialize):
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pass
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pass
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def copy(self):
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def copy(self):
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