# coding=utf-8
#
# 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
#
#    http://www.apache.org/licenses/LICENSE-2.0
#
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# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# pytype: skip-file

from __future__ import absolute_import
from __future__ import print_function


def max_globally(test=None):
  # [START max_globally]
  import apache_beam as beam

  with beam.Pipeline() as pipeline:
    max_element = (
        pipeline
        | 'Create numbers' >> beam.Create([3, 4, 1, 2])
        | 'Get max value' >>
        beam.CombineGlobally(lambda elements: max(elements or [None]))
        | beam.Map(print))
    # [END max_globally]
    if test:
      test(max_element)


def max_per_key(test=None):
  # [START max_per_key]
  import apache_beam as beam

  with beam.Pipeline() as pipeline:
    elements_with_max_value_per_key = (
        pipeline
        | 'Create produce' >> beam.Create([
            ('🥕', 3),
            ('🥕', 2),
            ('🍆', 1),
            ('🍅', 4),
            ('🍅', 5),
            ('🍅', 3),
        ])
        | 'Get max value per key' >> beam.CombinePerKey(max)
        | beam.Map(print))
    # [END max_per_key]
    if test:
      test(elements_with_max_value_per_key)
