# Path: keras_image_captioning/common_utils.py
# def parse_timedelta(timedelta_str):
#     if isinstance(timedelta_str, timedelta):
#         return timedelta_str
#     if not timedelta_str or timedelta_str == 'null':
#         return None
# 
#     tokens = re.split(r' days?,? ', timedelta_str)
#     if len(tokens) == 1:
#         if tokens[0].find('day') == -1:
#             days = '0'
#             rest = tokens[0]
#         else:
#             days = tokens[0].split(' ')[0]
#             rest = '00:00:00'
#     else:
#         days, rest = tokens
# 
#     days = int(days)
#     hours, minutes, seconds = map(int, rest.split(':'))
#     return timedelta(days=days, hours=hours, minutes=minutes, seconds=seconds)
# 
# Path: keras_image_captioning/io_utils.py
# def write_yaml_file(obj, path):
#     with open(path, 'w') as f:
#         yaml.dump(obj, f, default_flow_style=False)


import itertools
import yaml
import sys
from collections import OrderedDict, namedtuple
from datetime import timedelta
from random import choice, randint, uniform
from .common_utils import parse_timedelta
from .io_utils import write_yaml_file
            config_dict = yaml.load(yaml_file)

        # For backward compatibility
        for field in Config._fields:
            config_dict.setdefault(field, None)

        config_dict['time_limit'] = parse_timedelta(config_dict['time_limit'])
        return Config(**config_dict)


_active_config = VinyalsConfigBuilder().build_config()


def active_config(new_active_config=None):
    if new_active_config:
        global _active_config
        _active_config = new_active_config
    return _active_config


def init_vocab_size(vocab_size):
    global _active_config
    _active_config = _active_config._replace(vocab_size=vocab_size)


def write_to_file(config, yaml_path):
    config_dict = dict(config._asdict())
    time_limit = config_dict['time_limit']
    if time_limit:
        config_dict['time_limit'] = str(time_limit)

# Path: keras_image_captioning/common_utils.py
# def parse_timedelta(timedelta_str):
#     if isinstance(timedelta_str, timedelta):
#         return timedelta_str
#     if not timedelta_str or timedelta_str == 'null':
#         return None
# 
#     tokens = re.split(r' days?,? ', timedelta_str)
#     if len(tokens) == 1:
#         if tokens[0].find('day') == -1:
#             days = '0'
#             rest = tokens[0]
#         else:
#             days = tokens[0].split(' ')[0]
#             rest = '00:00:00'
#     else:
#         days, rest = tokens
# 
#     days = int(days)
#     hours, minutes, seconds = map(int, rest.split(':'))
#     return timedelta(days=days, hours=hours, minutes=minutes, seconds=seconds)
# 
# Path: keras_image_captioning/io_utils.py
# def write_yaml_file(obj, path):
#     with open(path, 'w') as f:
#         yaml.dump(obj, f, default_flow_style=False)


# Path: keras_image_captioning/config.py
import itertools
import yaml
import sys
from collections import OrderedDict, namedtuple
from datetime import timedelta
from random import choice, randint, uniform
from .common_utils import parse_timedelta
from .io_utils import write_yaml_file

            config_dict = yaml.load(yaml_file)

        # For backward compatibility
        for field in Config._fields:
            config_dict.setdefault(field, None)

        config_dict['time_limit'] = parse_timedelta(config_dict['time_limit'])
        return Config(**config_dict)


_active_config = VinyalsConfigBuilder().build_config()


def active_config(new_active_config=None):
    if new_active_config:
        global _active_config
        _active_config = new_active_config
    return _active_config


def init_vocab_size(vocab_size):
    global _active_config
    _active_config = _active_config._replace(vocab_size=vocab_size)


def write_to_file(config, yaml_path):
    config_dict = dict(config._asdict())
    time_limit = config_dict['time_limit']
    if time_limit:
        config_dict['time_limit'] = str(time_limit)

    write_yaml_file(config_dict, yaml_path)