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# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not use this file except in compliance with
# the License. You may obtain a copy of the License at
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# See the License for the specific language governing permissions and
# limitations under the License.
"""Internal side input transforms and implementations.
For internal use only; no backwards-compatibility guarantees.
Important: this module is an implementation detail and should not be used
directly by pipeline writers. Instead, users should use the helper methods
AsSingleton, AsIter, AsList and AsDict in apache_beam.pvalue.
from __future__ import absolute_import
from builtins import object
from apache_beam.transforms import window
# Top-level function so we can identify it later.
def _global_window_mapping_fn(w, global_window=window.GlobalWindow()):
return global_window
def default_window_mapping_fn(target_window_fn):
if target_window_fn == window.GlobalWindows():
return _global_window_mapping_fn
def map_via_end(source_window):
return list(target_window_fn.assign(
return map_via_end
class SideInputMap(object):
"""Represents a mapping of windows to side input values."""
def __init__(self, view_class, view_options, iterable):
self._window_mapping_fn = view_options.get(
'window_mapping_fn', _global_window_mapping_fn)
self._view_class = view_class
self._view_options = view_options
self._iterable = iterable
self._cache = {}
def __getitem__(self, window):
if window not in self._cache:
target_window = self._window_mapping_fn(window)
self._cache[window] = self._view_class._from_runtime_iterable(
_FilteringIterable(self._iterable, target_window), self._view_options)
return self._cache[window]
def is_globally_windowed(self):
return self._window_mapping_fn == _global_window_mapping_fn
class _FilteringIterable(object):
"""An iterable containing only those values in the given window.
def __init__(self, iterable, target_window):
self._iterable = iterable
self._target_window = target_window
def __iter__(self):
for wv in self._iterable:
if self._target_window in
yield wv.value
def __reduce__(self):
# Pickle self as an already filtered list.
return list, (list(self),)