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From bhule...@apache.org
Subject [beam] branch master updated: [BEAM-12476] Add specific jira for sample follow-up work (#14994)
Date Fri, 11 Jun 2021 15:24:41 GMT
This is an automated email from the ASF dual-hosted git repository.

bhulette pushed a commit to branch master
in repository https://gitbox.apache.org/repos/asf/beam.git


The following commit(s) were added to refs/heads/master by this push:
     new 59cb9ee  [BEAM-12476] Add specific jira for sample follow-up work (#14994)
59cb9ee is described below

commit 59cb9ee6b2ffcd0469238a893ae0528bb3d2b66b
Author: Brian Hulette <bhulette@google.com>
AuthorDate: Fri Jun 11 08:23:21 2021 -0700

    [BEAM-12476] Add specific jira for sample follow-up work (#14994)
---
 sdks/python/apache_beam/dataframe/frames.py | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/sdks/python/apache_beam/dataframe/frames.py b/sdks/python/apache_beam/dataframe/frames.py
index 9751b87..a518242 100644
--- a/sdks/python/apache_beam/dataframe/frames.py
+++ b/sdks/python/apache_beam/dataframe/frames.py
@@ -1213,7 +1213,7 @@ class DeferredSeries(DeferredDataFrameOrSeries):
   def sample(self, **kwargs):
     """Only ``n`` and/or ``weights`` may be specified.  ``frac``,
     ``random_state``, and ``replace=True`` are not yet supported.
-    See `BEAM-XXX <https://issues.apache.org/jira/BEAM-XXX>`_.
+    See `BEAM-12476 <https://issues.apache.org/jira/BEAM-12476>`_.
 
     Note that pandas will raise an error if ``n`` is larger than the length
     of the dataset, while the Beam DataFrame API will simply return the full
@@ -2236,7 +2236,7 @@ class DeferredDataFrame(DeferredDataFrameOrSeries):
   def sample(self, n, frac, replace, weights, random_state, axis):
     """When ``axis='index'``, only ``n`` and/or ``weights`` may be specified.
     ``frac``, ``random_state``, and ``replace=True`` are not yet supported.
-    See `BEAM-XXX <https://issues.apache.org/jira/BEAM-XXX>`_.
+    See `BEAM-12476 <https://issues.apache.org/jira/BEAM-12476>`_.
 
     Note that pandas will raise an error if ``n`` is larger than the length
     of the dataset, while the Beam DataFrame API will simply return the full
@@ -2259,7 +2259,7 @@ class DeferredDataFrame(DeferredDataFrameOrSeries):
           f"When axis={axis!r}, only n and/or weights may be specified. "
           "frac, random_state, and replace=True are not yet supported "
           f"(got frac={frac!r}, random_state={random_state!r}, "
-          f"replace={replace!r}). See BEAM-XXX.")
+          f"replace={replace!r}). See BEAM-12476.")
 
     if isinstance(weights, str):
       weights = self[weights]

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