Update grouping.py
Fix pylint issues.
diff --git a/tensorflow/python/data/experimental/ops/grouping.py b/tensorflow/python/data/experimental/ops/grouping.py
index 92578e3..453f762 100644
--- a/tensorflow/python/data/experimental/ops/grouping.py
+++ b/tensorflow/python/data/experimental/ops/grouping.py
@@ -169,8 +169,8 @@
There is also a possibility to pad the dataset till the bucket boundary.
You can also provide which value to be used while padding the data.
- Below example uses `-1` as padding and it also shows the input data being bucketizied to two buckets
- "[0,3], [4,6]"
+ Below example uses `-1` as padding and it also shows the input data
+ being bucketizied to two buckets "[0,3], [4,6]".
>>> elements = [
... [0], [1, 2, 3, 4], [5, 6, 7],
@@ -196,10 +196,11 @@
[[21 22 -1]]
[[13 14 15 16 19 20]]
- When using `pad_to_bucket_boundary` option, it can be seen that it is not always possible
- to maintain the bucket batch size.
- You can drop the batches that do not maintain the bucket batch size by using the option `drop_remainder`.
- Using the same input data as in the above example you get the following result.
+ When using `pad_to_bucket_boundary` option, it can be seen that it is
+ not always possible to maintain the bucket batch size.
+ You can drop the batches that do not maintain the bucket batch size by
+ using the option `drop_remainder`. Using the same input data as in the
+ above example you get the following result.
>>> elements = [
... [0], [1, 2, 3, 4], [5, 6, 7],
