text: # Copyright 2014 Diamond Light Source Ltd.
  #
  # 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,
  # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  # See the License for the specific language governing permissions and
  # limitations under the License.
  
  """
  .. module:: hdf5_transport_data
     :platform: Unix
     :synopsis: A data transport class that is inherited by Data class at \
     runtime. It organises the slice list and moves the data.
  
  .. moduleauthor:: Nicola Wadeson <scientificsoftware@diamond.ac.uk>
  
  """
  
  import os
  
  from savu.data.transport_data.slice_lists import \
      SliceLists, GlobalData, LocalData
  from savu.data.transport_data.base_transport_data import BaseTransportData
  
  
  class Hdf5TransportData(BaseTransportData, SliceLists):
      """
      The Hdf5TransportData class performs the organising and movement of data.
      """
  
      def __init__(self, data_obj, name='Hdf5TransportData'):
          super(Hdf5TransportData, self).__init__(data_obj)
          self.mfp = None
          self.params = None
          if os.environ['savu_mode'] == 'basic':
              self.max_frames_function = self._calc_max_frames_transfer_single
          else:
              self.max_frames_function = self._calc_max_frames_transfer_multi
  
      def _get_slice_lists_per_process(self, dtype):
          pData = self.data._get_plugin_data()
          pData._set_padding_dict()
          self.pad = True if pData.padding else False
          self.transfer_data = GlobalData(dtype, self)
          trans_dict = self.transfer_data._get_dict(pData._plugin.fixed_length)
          proc_dict = LocalData(dtype, self)._get_dict()
          return self.__combine_dicts(trans_dict, proc_dict)
  
      def __combine_dicts(self, d1, d2):
          for key, value in d2.items():
              d1[key] = value
          return d1
  
      def _get_padded_data(self, slice_list, end=False):
          return self.transfer_data._get_padded_data(slice_list, end=False)
  
      def _calc_max_frames_transfer(self, nFrames):
          return self.max_frames_function(nFrames)
  
  