class_docstr: A data source that produces a sequence of numbers (longs). This source is useful for testing and
  for cases that just need a stream of N events of any kind.
  
  The source splits the sequence into as many parallel sub-sequences as there are parallel
  source readers. Each sub-sequence will be produced in order. Consequently, if the parallelism is
  limited to one, this will produce one sequence in order.
  
  This source is always bounded. For very long sequences (for example over the entire domain of
  long integer values), user may want to consider executing the application in a streaming manner,
  because, despite the fact that the produced stream is bounded, the end bound is pretty far away.
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docstr: Creates a new NumberSequenceSource that produces parallel sequences covering the
  range start to end (both boundaries are inclusive).
docstr_tok: ["Creates","a","new","NumberSequenceSource","that","produces","parallel","sequences","covering","the","range","start","to","end","(","both","boundaries","are","inclusive",")","."]
code: def __init__(self, start: int, end: int):
      """
      Creates a new NumberSequenceSource that produces parallel sequences covering the
      range start to end (both boundaries are inclusive).
      """
      JNumberSequenceSource = (
          get_gateway().jvm.org.apache.flink.api.connector.source.lib.NumberSequenceSource
      )
      j_seq_source = JNumberSequenceSource(start, end)
      super(NumberSequenceSource, self).__init__(source=j_seq_source)
  
imports: from pyflink.datastream.connectors import Source
  from pyflink.java_gateway import get_gateway
label_desc: Use image node_id 1 to create a new NumberSequenceSource object from inherited base classes: Source with example: obj = NumberSequenceSource(start, end)