#  Copyright (c) ZenML GmbH 2021. All Rights Reserved.
#
#  Licensed 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,
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"""
A step is a single piece or stage of a ZenML pipeline. Think of each step as
being one of the nodes of a Directed Acyclic Graph (or DAG). Steps are responsible for one aspect of processing
or interacting with the data / artifacts in the pipeline.

ZenML currently
implements a basic step interface, but there will be other more customized
interfaces (layered in a hierarchy) for specialized
implementations. Conceptually, a Step is a discrete and independent part of a
pipeline that is responsible for one particular aspect of data manipulation
inside a ZenML pipeline.

Steps can be subclassed from the `BaseStep` class, or used via our `@step` decorator.
"""

from zenml.steps.base_step import BaseStep
from zenml.steps.base_step_config import BaseStepConfig
from zenml.steps.step_context import StepContext
from zenml.steps.step_decorator import step
from zenml.steps.step_output import Output

__all__ = ["BaseStep", "BaseStepConfig", "StepContext", "step", "Output"]
