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authorMichał Górny <mgorny@gentoo.org>2020-12-11 22:32:46 +0100
committerMichał Górny <mgorny@gentoo.org>2020-12-11 22:32:46 +0100
commited27d8b692bf5adc0aa96074124c3150220bc7ee (patch)
tree38e56a7e6c63c41d19013c0545a3df55fadddb85 /dev-python/exam
parentdev-libs/libressl: Stabilize 3.1.5 arm, #759175 (diff)
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dev-python/exam: Fix metadata.xml indent
Signed-off-by: Michał Górny <mgorny@gentoo.org>
Diffstat (limited to 'dev-python/exam')
-rw-r--r--dev-python/exam/metadata.xml6
1 files changed, 3 insertions, 3 deletions
diff --git a/dev-python/exam/metadata.xml b/dev-python/exam/metadata.xml
index 6a0cf1208102..d79043f73e5b 100644
--- a/dev-python/exam/metadata.xml
+++ b/dev-python/exam/metadata.xml
@@ -18,9 +18,9 @@ Exam is a Python toolkit for writing better tests. It aims to remove a lot of th
Aside from the obvious "does the code work?", writings tests has many additional goals and benefits:
- If written semantically, reading tests can help demonstrate how the code is supposed to work to other developers.
- If quick running, tests provide feedback during development that your changes are working or not having an adverse side effects.
- If they're easy to write correctly, developers will write more tests and they will be of a higher quality.
+ If written semantically, reading tests can help demonstrate how the code is supposed to work to other developers.
+ If quick running, tests provide feedback during development that your changes are working or not having an adverse side effects.
+ If they're easy to write correctly, developers will write more tests and they will be of a higher quality.
Unfortunately, the common pattern for writing Python unit tests tends to not offer any of these advantages. Often times results in inefficient and unnecessarily obtuse testing code. Additionally, common uses of the mock library can often result in repetitive boiler-plate code or inefficiency during test runs.