old_contents: # Copyright 2013-2021 Lawrence Livermore National Security, LLC and other
  # Spack Project Developers. See the top-level COPYRIGHT file for details.
  #
  # SPDX-License-Identifier: (Apache-2.0 OR MIT)
  
  from spack import *
  
  
  class PyNeurokit2(PythonPackage):
      """The Python Toolbox for Neurophysiological Signal Processing.
  
      This package is the continuation of NeuroKit 1. It's a user-friendly
      package providing easy access to advanced biosignal processing routines.
      Researchers and clinicians without extensive knowledge of programming or
      biomedical signal processing can analyze physiological data with only two
      lines of code.
      """
  
      homepage = "https://github.com/neuropsychology/NeuroKit"
      pypi     = "neurokit2/neurokit2-0.1.2.tar.gz"
  
      version('0.1.4.1', sha256='226bb04bb369d8bb87d99831f0a93cd8d0ed96fdc500f63de0b3550082876f6e')
      version('0.1.2', sha256='5ef40037c2d7078ecb713ab0b77b850267babf133856b59595de9613f29787bc')
  
      depends_on('py-setuptools@40.6.0:', type='build')
      depends_on('py-pytest-runner', type='build')
      depends_on('py-numpy', type=('build', 'run'))
      depends_on('py-pandas', type=('build', 'run'))
      depends_on('py-scipy', type=('build', 'run'))
      depends_on('py-scikit-learn', type=('build', 'run'))
      depends_on('py-matplotlib', type=('build', 'run'))
  
new_contents: # Copyright 2013-2021 Lawrence Livermore National Security, LLC and other
  # Spack Project Developers. See the top-level COPYRIGHT file for details.
  #
  # SPDX-License-Identifier: (Apache-2.0 OR MIT)
  
  from spack import *
  
  
  class PyNeurokit2(PythonPackage):
      """The Python Toolbox for Neurophysiological Signal Processing.
  
      This package is the continuation of NeuroKit 1. It's a user-friendly
      package providing easy access to advanced biosignal processing routines.
      Researchers and clinicians without extensive knowledge of programming or
      biomedical signal processing can analyze physiological data with only two
      lines of code.
      """
  
      homepage = "https://github.com/neuropsychology/NeuroKit"
      pypi     = "neurokit2/neurokit2-0.1.2.tar.gz"
  
      version('0.1.5', sha256='4df48c0ce8971e32e32f36c2263986b00fd83da5eadaaa98e4bb5ab6bcd930e5')
      version('0.1.4.1', sha256='226bb04bb369d8bb87d99831f0a93cd8d0ed96fdc500f63de0b3550082876f6e')
      version('0.1.2', sha256='5ef40037c2d7078ecb713ab0b77b850267babf133856b59595de9613f29787bc')
  
      depends_on('py-setuptools@40.6.0:', type='build')
      depends_on('py-pytest-runner', type='build')
      depends_on('py-numpy', type=('build', 'run'))
      depends_on('py-pandas', type=('build', 'run'))
      depends_on('py-scipy', type=('build', 'run'))
      depends_on('py-scikit-learn', type=('build', 'run'))
      depends_on('py-matplotlib', type=('build', 'run'))
  
subject: add 0.1.5 (#27441)