old_contents: #!/usr/bin/env python
  # encoding: utf-8
  
  #
  # The MIT License (MIT)
  #
  # Copyright (c) 2013-2014 CNRS
  #
  # Permission is hereby granted, free of charge, to any person obtaining a copy
  # of this software and associated documentation files (the "Software"), to deal
  # in the Software without restriction, including without limitation the rights
  # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
  # copies of the Software, and to permit persons to whom the Software is
  # furnished to do so, subject to the following conditions:
  #
  # The above copyright notice and this permission notice shall be included in
  # all copies or substantial portions of the Software.
  #
  # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
  # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
  # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
  # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
  # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
  # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
  # SOFTWARE.
  #
  
  # AUTHORS
  # Hervé BREDIN - http://herve.niderb.fr/
  
  
  from flask import Blueprint
  from flask import request
  from flask import json
  
  error = Blueprint('error', __name__, url_prefix='/error')
  
  from pyannote.metrics.errors.identification import IdentificationErrorAnalysis
  from pyannote.metrics.errors.segmentation import SegmentationError
  
  identificationErrorAnalysis = IdentificationErrorAnalysis()
  segmentation_error = SegmentationError()
  
  
  @error.route('/diff', methods=['POST'])
  def compute_diff():
  
      if request.method == 'POST':
  
          data = request.json
          R = data['reference']
          H = data['hypothesis']
  
          D = identificationErrorAnalysis.difference(R, H)
  
          return json.dumps(D)
  
  
  @error.route('/regression', methods=['POST'])
  def compute_regression():
  
      if request.method == 'POST':
  
          data = request.json
  
          R = data['reference']
          B = data['before']
          A = data['after']
  
          D = identificationErrorAnalysis.regression(R, B, A)
  
          return json.dumps(D)
  
  
  @error.route('/segmentation', methods=['POST'])
  def compute_segmentation_error():
  
      if request.method == 'POST':
  
          data = request.json
          R = data['reference']
          H = data['hypothesis']
  
          E = segmentation_error(R, H)
  
          return json.dumps(E)
  
new_contents: #!/usr/bin/env python
  # encoding: utf-8
  
  #
  # The MIT License (MIT)
  #
  # Copyright (c) 2013-2014 CNRS
  #
  # Permission is hereby granted, free of charge, to any person obtaining a copy
  # of this software and associated documentation files (the "Software"), to deal
  # in the Software without restriction, including without limitation the rights
  # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
  # copies of the Software, and to permit persons to whom the Software is
  # furnished to do so, subject to the following conditions:
  #
  # The above copyright notice and this permission notice shall be included in
  # all copies or substantial portions of the Software.
  #
  # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
  # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
  # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
  # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
  # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
  # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
  # SOFTWARE.
  #
  
  # AUTHORS
  # Hervé BREDIN - http://herve.niderb.fr/
  
  
  from flask import Blueprint
  from flask import request
  from flask import json
  
  error = Blueprint('error', __name__, url_prefix='/error')
  
  from pyannote.metrics.errors.identification import IdentificationErrorAnalysis
  from pyannote.metrics.errors.segmentation import SegmentationError
  
  identificationErrorAnalysis = IdentificationErrorAnalysis()
  segmentation_error = SegmentationError()
  
  
  @error.route('/diff', methods=['POST'])
  @error.route('/difference', methods=['POST'])
  def compute_difference():
  
      if request.method == 'POST':
  
          data = request.json
          R = data['reference']
          H = data['hypothesis']
  
          D = identificationErrorAnalysis.difference(R, H)
  
          return json.dumps(D)
  
  
  @error.route('/regression', methods=['POST'])
  def compute_regression():
  
      if request.method == 'POST':
  
          data = request.json
  
          R = data['reference']
          B = data['before']
          A = data['after']
  
          D = identificationErrorAnalysis.regression(R, B, A)
  
          return json.dumps(D)
  
  
  @error.route('/segmentation', methods=['POST'])
  def compute_segmentation_error():
  
      if request.method == 'POST':
  
          data = request.json
          R = data['reference']
          H = data['hypothesis']
  
          E = segmentation_error(R, H)
  
          return json.dumps(E)
  
subject: add /error/difference