# 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
        :return:
        '''
        count_1 = 0
        count_5 = 0
        count_10 = 0
        total = 0
        max = 0.
        with open(filename, 'r') as f:
            for line in f:
                list = numpy.array(json.loads(line))
                list = list.ravel()
                for e in list:
                    total += 1
                    if abs(e) > 1:
                        count_1 += 1
                    if abs(e) > 5:
                        count_5 += 1
                    if abs(e) > 10:
                        count_10 += 1
                        print(e)
                    if abs(e) > max:
                        max = abs(e)
                        print('new max = %f' % e)
        print('total = %d' % total)
        print('count < 1/5/10 = %d / %d / %d' % (count_1, count_5, count_10))
        print('max = %f' % max)

if __name__ == '__main__':
    config = config.setup_keyphrase_all()  # setup_keyphrase_inspec
    agent = Model()

# 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

        :return:
        '''
        count_1 = 0
        count_5 = 0
        count_10 = 0
        total = 0
        max = 0.
        with open(filename, 'r') as f:
            for line in f:
                list = numpy.array(json.loads(line))
                list = list.ravel()
                for e in list:
                    total += 1
                    if abs(e) > 1:
                        count_1 += 1
                    if abs(e) > 5:
                        count_5 += 1
                    if abs(e) > 10:
                        count_10 += 1
                        print(e)
                    if abs(e) > max:
                        max = abs(e)
                        print('new max = %f' % e)
        print('total = %d' % total)
        print('count < 1/5/10 = %d / %d / %d' % (count_1, count_5, count_10))
        print('max = %f' % max)

if __name__ == '__main__':
    config = config.setup_keyphrase_all()  # setup_keyphrase_inspec
    agent = Model()

    agent.load_weight_json(config['weight_json'])