text: # Copyright (c) 2019-2021 - for information on the respective copyright owner
  # see the NOTICE file and/or the repository
  # https://github.com/boschresearch/pylife
  #
  # 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
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  # distributed under the License is distributed on an "AS IS" BASIS,
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  """A module for Wöhler curve fatigue data analysis
  
  Overview
  ========
  
  :class:`FatigueData` is a signal accessor class to handle fatigue data from a
  Wöhler test.  They can be analyzed by several analyzers according to your choice
  
  * :class:`Elementary` only treats the finite zone of the fatigue data and
    calculates the slope and the scatter in lifetime direction.  It is the base
    class for all other analyzers
  
  * :class:`Probit` calculates parameters not calculated by :class:`Elementary`
    using the Probit method.
  
  * :class:`MaxLikeInf` calculates parameters not calculated by :class:`Elementary`
    using the maximum likelihood method.
  
  * :class:`MaxLikeFull` calculates all parameters using the maximum likelihood
    method.  The result from :class:`Elementary` is used as start values.
  
  """
  
  __author__ = "Johannes Mueller"
  __maintainer__ = __author__
  
  from .fatigue_data import \
      FatigueData, \
      determine_fractures
  
  from .elementary import Elementary
  from .probit import Probit
  from .maxlike import MaxLikeInf, MaxLikeFull
  from .bayesian import Bayesian
  
  __all__ = [
      'FatigueData',
      'determine_fractures',
      'Elementary',
      'Probit',
      'MaxLikeInf',
      'MaxLikeFull',
      'Bayesian'
  ]
  