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# load UEM, references, and system output
from pyannote.database.util import load_rttm, load_uem
uems = load_uem('references.uem')
references = load_rttm('references.rttm')
hypotheses = load_rttm('hypotheses.rttm')

from pyannote.metrics.diarization import JaccardErrorRate
metric = JaccardErrorRate()

# compute (and print) JER for each file

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from pyannote.pipeline import Pipeline
import chocolate

class MyPipeline(Pipeline):
    def __int__(self):
        super().__init__()
        self.damping = chocolate.uniform(...)
        self.preference = chocolate.uniform(...)
    
    def __call__(self, item):

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#!/usr/bin/env python
# encoding: utf-8

# The MIT License (MIT)

# Copyright (c) 2018 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

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from keras.legacy import interfaces
from keras.optimizers import Optimizer
import keras.backend as K


class SMORMS3(Optimizer):
    """SMORMS3 optimizer.

    Default parameters follow those provided in the blog post.