# Path: keyphrase/config.py
# def setup_keyphrase_stable():
# def setup_keyphrase_train():
# def setup_keyphrase_baseline():
# 
# Path: emolga/dataset/build_dataset.py
# def serialize_to_file(obj, path, protocol=pickle.HIGHEST_PROTOCOL):
#     print('serialize to %s' % path)
#     f = open(path, 'wb')
#     pickle.dump(obj, f, protocol=protocol)
#     f.close()
# 
# def deserialize_from_file(path):
#     f = open(path, 'rb')
#     obj = pickle.load(f)
#     f.close()
#     return obj
# 
# def serialize_to_file_json(obj, path, protocol=pickle.HIGHEST_PROTOCOL):
#     f = open(path, 'w')
#     json.dump(obj, f)
#     f.close()
# 
# Path: emolga/utils/theano_utils.py
# def floatX(X):
#     return np.asarray(X, dtype=theano.config.floatX)


import json
import numpy
import theano
import logging
import deepdish as dd
from keyphrase import config
from emolga.dataset.build_dataset import serialize_to_file, deserialize_from_file, serialize_to_file_json
from emolga.utils.theano_utils import floatX

class Model(object):
    def __init__(self):
        self.layers  = []
        self.params  = []
        self.monitor = {}
        self.watchlist = []

    def _add(self, layer):
        if layer:
            self.layers.append(layer)
            self.params += layer.params

    def _monitoring(self):
        # add monitoring variables
        for l in self.layers:
            for v in l.monitor:
                name = v + '@' + l.name
                print(name)
                self.monitor[name] = l.monitor[v]

    def compile_monitoring(self, inputs, updates=None):
        logger.info('compile monitoring')
        for i, v in enumerate(self.monitor):
            self.watchlist.append(v)
            logger.info('monitoring [{0}]: {1}'.format(i, v))

        self.watch = theano.function(inputs,
                                     [self.monitor[v] for v in self.watchlist],
                                     updates=updates

# Path: keyphrase/config.py
# def setup_keyphrase_stable():
# def setup_keyphrase_train():
# def setup_keyphrase_baseline():
# 
# Path: emolga/dataset/build_dataset.py
# def serialize_to_file(obj, path, protocol=pickle.HIGHEST_PROTOCOL):
#     print('serialize to %s' % path)
#     f = open(path, 'wb')
#     pickle.dump(obj, f, protocol=protocol)
#     f.close()
# 
# def deserialize_from_file(path):
#     f = open(path, 'rb')
#     obj = pickle.load(f)
#     f.close()
#     return obj
# 
# def serialize_to_file_json(obj, path, protocol=pickle.HIGHEST_PROTOCOL):
#     f = open(path, 'w')
#     json.dump(obj, f)
#     f.close()
# 
# Path: emolga/utils/theano_utils.py
# def floatX(X):
#     return np.asarray(X, dtype=theano.config.floatX)


# Path: emolga/models/core.py
import json
import numpy
import theano
import logging
import deepdish as dd
from keyphrase import config
from emolga.dataset.build_dataset import serialize_to_file, deserialize_from_file, serialize_to_file_json
from emolga.utils.theano_utils import floatX


class Model(object):
    def __init__(self):
        self.layers  = []
        self.params  = []
        self.monitor = {}
        self.watchlist = []

    def _add(self, layer):
        if layer:
            self.layers.append(layer)
            self.params += layer.params

    def _monitoring(self):
        # add monitoring variables
        for l in self.layers:
            for v in l.monitor:
                name = v + '@' + l.name
                print(name)
                self.monitor[name] = l.monitor[v]

    def compile_monitoring(self, inputs, updates=None):
        logger.info('compile monitoring')
        for i, v in enumerate(self.monitor):
            self.watchlist.append(v)
            logger.info('monitoring [{0}]: {1}'.format(i, v))

        self.watch = theano.function(inputs,
                                     [self.monitor[v] for v in self.watchlist],
                                     updates=updates

                                     )