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authorStanislav Kudriashev <skudriashev@griddynamics.com>2013-12-10 13:13:30 +0200
committerStanislav Kudriashev <skudriashev@griddynamics.com>2013-12-10 14:09:17 +0200
commit1a70f8cb44e51c2ed47f787a93d2c5b648442273 (patch)
treed9f911ffb99dc54d6dff7809ed30da90871fb5a9 /taskflow/examples/simple_linear.py
parentc49b07e2313c6e5a1726b47de61b9b04dc1d7948 (diff)
downloadtaskflow-1a70f8cb44e51c2ed47f787a93d2c5b648442273.tar.gz
Fix misspellings
Change-Id: I6f332f01d197c6ba1b02de1145714718f8aea6fb
Diffstat (limited to 'taskflow/examples/simple_linear.py')
-rw-r--r--taskflow/examples/simple_linear.py2
1 files changed, 1 insertions, 1 deletions
diff --git a/taskflow/examples/simple_linear.py b/taskflow/examples/simple_linear.py
index e285e68..e478d40 100644
--- a/taskflow/examples/simple_linear.py
+++ b/taskflow/examples/simple_linear.py
@@ -33,7 +33,7 @@ from taskflow import task
# INTRO: In this example we create two tasks, each of which ~calls~ a given
# ~phone~ number (provided as a function input) in a linear fashion (one after
-# the other). For a workflow which is serial this shows a extremly simple way
+# the other). For a workflow which is serial this shows a extremely simple way
# of structuring your tasks (the code that does the work) into a linear
# sequence (the flow) and then passing the work off to an engine, with some
# initial data to be ran in a reliable manner.