#
# 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
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
# NOTE: This file is autogenerated and should not be edited by hand.
# Configs are generated based on the expansion service
# configuration in /sdks/standard_expansion_services.yaml.
# Refer to gen_xlang_wrappers.py for more info.
#
# Last updated on: 2024-04-18

- default_service: sdks:java:io:expansion-service:shadowJar
  description: 'Outputs a PCollection of Beam Rows, each containing a single INT64
    number called "value". The count is produced from the given "start" value and
    either up to the given "end" or until 2^63 - 1.

    To produce an unbounded PCollection, simply do not specify an "end" value. Unbounded
    sequences can specify a "rate" for output elements.

    In all cases, the sequence of numbers is generated in parallel, so there is no
    inherent ordering between the generated values'
  destinations:
    python: apache_beam/io
  fields:
    end:
      description: The maximum number to generate (exclusive). Will be an unbounded
        sequence if left unspecified.
      nullable: true
      type: numpy.int64
    rate:
      description: Specifies the rate to generate a given number of elements per a
        given number of seconds. Applicable only to unbounded sequences.
      nullable: true
      type: Row(elements=<class 'numpy.int64'>, seconds=typing.Union[numpy.int64,
        NoneType])
    start:
      description: The minimum number to generate (inclusive).
      nullable: false
      type: numpy.int64
  identifier: beam:schematransform:org.apache.beam:generate_sequence:v1
  name: GenerateSequence