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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def matrix_worker(data):
 """ Run pipelines in parallel. Args: Returns: dict: with two fields: success True/False and captured output (list of str). """

    matrix = data['matrix']
    Logger.get_logger(__name__ + '.worker').info(
        "Processing pipeline for matrix entry '%s'", matrix['name'])

    env = matrix['env'].copy()
    env.update({'PIPELINE_MATRIX': matrix['name']})

    pipeline = Pipeline(model=data['model'], env=env, options=data['options'])
    pipeline.hooks = data['hooks']
    return pipeline.process(data['pipeline'])