old_contents: # Copyright (c) 2015, Ecole Polytechnique Federale de Lausanne, Blue Brain Project
  # All rights reserved.
  #
  # This file is part of NeuroM <https://github.com/BlueBrain/NeuroM>
  #
  # Redistribution and use in source and binary forms, with or without
  # modification, are permitted provided that the following conditions are met:
  #
  #     1. Redistributions of source code must retain the above copyright
  #        notice, this list of conditions and the following disclaimer.
  #     2. Redistributions in binary form must reproduce the above copyright
  #        notice, this list of conditions and the following disclaimer in the
  #        documentation and/or other materials provided with the distribution.
  #     3. Neither the name of the copyright holder nor the names of
  #        its contributors may be used to endorse or promote products
  #        derived from this software without specific prior written permission.
  #
  # THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
  # ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
  # WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
  # DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY
  # DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
  # (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
  # LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
  # ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
  # (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
  # SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
  
  ''' Core functionality and data types of NeuroM '''
  
  from .tree import i_chain2 as _chain_neurites
  from .tree import Tree as _Tree
  
  def iter_neurites(obj, mapfun=None, filt=None):
      '''Iterator to a neurite, neuron or neuron population
  
      Applies a neurite filter function and a mapping function.
  
      Example:
          Get the lengths of sections in a neuron and a population
  
          >>> from neurom import sections as sec
          >>> neuron_lengths = [l for l in iter_neurites(nrn, sec.length)]
          >>> population_lengths = [l for l in iter_neurites(pop, sec.length)]
          >>> neurite = nrn.neurites[0]
          >>> tree_lengths = [l for l in iter_neurites(neurite, sec.length)]
  
      '''
      #  TODO: optimize case of single neurite and move code to neurom.core.tree
      neurites = [obj] if isinstance(obj, _Tree) else obj.neurites
      return _chain_neurites(neurites, mapfun.iter_type, mapfun, filt)
  
new_contents: # Copyright (c) 2015, Ecole Polytechnique Federale de Lausanne, Blue Brain Project
  # All rights reserved.
  #
  # This file is part of NeuroM <https://github.com/BlueBrain/NeuroM>
  #
  # Redistribution and use in source and binary forms, with or without
  # modification, are permitted provided that the following conditions are met:
  #
  #     1. Redistributions of source code must retain the above copyright
  #        notice, this list of conditions and the following disclaimer.
  #     2. Redistributions in binary form must reproduce the above copyright
  #        notice, this list of conditions and the following disclaimer in the
  #        documentation and/or other materials provided with the distribution.
  #     3. Neither the name of the copyright holder nor the names of
  #        its contributors may be used to endorse or promote products
  #        derived from this software without specific prior written permission.
  #
  # THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
  # ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
  # WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
  # DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY
  # DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
  # (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
  # LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
  # ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
  # (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
  # SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
  
  ''' Core functionality and data types of NeuroM '''
  
  from .tree import i_chain2 as _chain_neurites
  from .tree import Tree as _Tree
  
  
  def iter_neurites(obj, mapfun=None, filt=None):
      '''Iterator to a neurite, neuron or neuron population
  
      Applies a neurite filter function and a mapping function.
  
      Example:
          Get the lengths of sections in a neuron and a population
  
          >>> from neurom import sections as sec
          >>> neuron_lengths = [l for l in iter_neurites(nrn, sec.length)]
          >>> population_lengths = [l for l in iter_neurites(pop, sec.length)]
          >>> neurite = nrn.neurites[0]
          >>> tree_lengths = [l for l in iter_neurites(neurite, sec.length)]
  
      '''
      #  TODO: optimize case of single neurite and move code to neurom.core.tree
      neurites = [obj] if isinstance(obj, _Tree) else obj.neurites
      return _chain_neurites(neurites, mapfun.iter_type, mapfun, filt)
  
subject: fix pep8 error