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authorJenkins <jenkins@review.openstack.org>2015-04-01 19:48:52 +0000
committerGerrit Code Review <review@openstack.org>2015-04-01 19:48:52 +0000
commit3af076d72520b528775d3d43e6bc2b5344ddbab5 (patch)
tree92ee09b9e5b33c05440f3db65f1df3c8e388bdca /taskflow/examples/calculate_in_parallel.py
parent3d7568d7b9c76aacd59320a00db0faca5c1827e2 (diff)
parent5544d71bc897906253cf98771129f2997f4e19ae (diff)
downloadtaskflow-0.8.1.tar.gz
Merge "Fix a couple of spelling and grammar errors"0.8.1
Diffstat (limited to 'taskflow/examples/calculate_in_parallel.py')
-rw-r--r--taskflow/examples/calculate_in_parallel.py2
1 files changed, 1 insertions, 1 deletions
diff --git a/taskflow/examples/calculate_in_parallel.py b/taskflow/examples/calculate_in_parallel.py
index 7ab32fa..0d800a6 100644
--- a/taskflow/examples/calculate_in_parallel.py
+++ b/taskflow/examples/calculate_in_parallel.py
@@ -30,7 +30,7 @@ from taskflow.patterns import linear_flow as lf
from taskflow.patterns import unordered_flow as uf
from taskflow import task
-# INTRO: This examples shows how a linear flow and a unordered flow can be
+# INTRO: These examples show how a linear flow and an unordered flow can be
# used together to execute calculations in parallel and then use the
# result for the next task/s. The adder task is used for all calculations
# and argument bindings are used to set correct parameters for each task.