code: def slice(  # pylint: disable=redefined-builtin
      channel: channel_types.BaseChannel,
      /,
      start: Optional[int] = None,
      stop: Optional[int] = None,
      min_count: Optional[int] = None,
  ):
      """Pick slice(start, stop) of the input artifacts.
  
      Like in python, negative indexing is allowed.
  
      If the range is larger than the number of artifacts in the channel, then like
      in python slice, the result would be truncated to the available values. You
      can use min_count to ensure the range has enough values. In synchronous
      pipeline, it is an error if the min_count is not met. In asynchronous
      pipeline, it will wait until min_count is met.
  
      None value in the start or stop index means beginning and the end of the range
      respectively. For example, `pick_range(x, start=-2, end=None)` means `x[-2:]`.
  
      Usage:
  
      ```python
      # In asynchronous pipeline
      last_week_before_yesterday = pick_range(
          example_gen.outputs['examples'], start=-7, stop=-1
      )
      with ForEach(last_week_before_yesterday) as each_example:
        evaluator = Evaluator(example=each_example, model=latest_model)
      ```
  
      Args:
        channel: A channel instance (e.g. `my_component.outputs['x']`).
        start: A start index (inclusive) of the range. Can be negative.
        stop: A stop index (exclusive) of the range. Can be negative.
        min_count: A minimum number of values the range should contain. When
          specified, synchronous (DAG) pipeline will fail if the min_count is not
          met. Asynchronous (continuous) pipeine will wait until min_count is met.
  
      Returns:
        A channel that represents `inputs[start:stop]` slice range.
      """
      # Slice(start=None, stop=None) is a no-op and we can return the input as is.
      if start is None and stop is None:
          return channel
      return _slice(
          channel, start=start, stop=stop, min_count=min_count
      )
  
imports: from typing import Optional, Sequence, Union
  from absl import logging
  from tfx.dsl.input_resolution import resolver_function
  from tfx.dsl.input_resolution.ops import ops
  from tfx.types import artifact
  from tfx.types import channel
label_desc: Use image node_id 16 for calling a global function with example usage: slice(start, stop, min_count) and returns: _slice, channel