# Path: analyzer/utils.py
# def env(name, default=None):
# def window(seq, n=2):
# def block_shaped(image, n_rows, n_cols):
# def flatten(l):
# def camel_to_underscore(name):
# def underscore_to_camel(name):
# def change_dict_naming_convention(d, convert_function):
# 	def as_dict(self, camel=True):
# 	def from_dict(cls, data, from_camel=True):
# 	def from_dicts(cls, data, from_camel=True):
# 	def to_mongo_dict(self):
# def to_mongo_dict(obj):
# def to_dict(obj):
# def props(obj):
# def image_filename(index, file_type="jpg"):
# def extract_filename(path):
# def extract_name(file):
# def basepath(path):
# def extract_index(path):
# def objects_as_dict(objects):
# def slice_paths(paths, limit):
# def derivative(distances):
# def crop_image(image, cx=20, cy=20):
# DEBUG = bool(int(getenv('DEBUG', False)))
# 	T = type(objects[0])
# class Model(object):
# 
# Path: analyzer/timestamp.py
# class Timestamp(object):
# 	def __init__(self, val):
# 		if type(val) is str:
# 			timestamp_pattern = "(?:(?:(?:(\d?\d):)?(\d?\d):)?(\d?\d))?(?:[,.](\d?\d?\d))?"
# 			regex = re.compile(timestamp_pattern)
# 			regex_result = regex.match(val)
# 
# 			if regex_result is not None:
# 				groups = regex_result.groups()
# 				hours = entity_to_int(groups[0])
# 				minutes = entity_to_int(groups[1])
# 				seconds = entity_to_int(groups[2])
# 				milliseconds = entity_to_int(groups[3])
# 
# 				self.millis = (hours_to_millis(hours) +
# 				               minutes_to_millis(minutes) +
# 				               seconds_to_millis(seconds) +
# 				               milliseconds)
# 		elif type(val) is int:
# 			self.millis = val
# 		else:
# 			raise Exception("Timestamp parse failed")
# 
# 	def __str__(self):
# 		return "{}".format(self.millis)
# 
# 	def __repr__(self):
# 		return self.__str__()
# 
# 	def __add__(self, other):
# 		return Timestamp(self.millis + other.millis)
# 
# 	def __sub__(self, other):
# 		return Timestamp(self.millis - other.millis)
# 
# Path: analyzer/utils.py
# class Model(object):
# 	def as_dict(self, camel=True):
# 		dictionary = to_dict(self)
# 		if camel:
# 			return change_dict_naming_convention(dictionary, underscore_to_camel)
# 		else:
# 			return dictionary
# 
# 	@classmethod
# 	def from_dict(cls, data, from_camel=True):
# 		if from_camel:
# 			return change_dict_naming_convention(data, camel_to_underscore)
# 		else:
# 			return data
# 
# 	@classmethod
# 	def from_dicts(cls, data, from_camel=True):
# 		return [cls.from_dict(d) for d in data]
# 
# 	def to_mongo_dict(self):
# 		dictionary = self.as_dict()
# 		return to_mongo_dict(dictionary)
# 
# def env(name, default=None):
# 	return getenv(name, default)


from xml.etree import ElementTree
from analyzer import utils
from analyzer.timestamp import Timestamp
from analyzer.utils import Model, env
import urllib
import urllib.request
	id = int(ref.find('chapter:chapterSetId', ns).text)
	confirmations = root.attrib["confirmations"]

	source = root.find('chapter:source', ns)
	duration = source.find('chapter:duration', ns).text

	parsed_chapter_info = ChapterInfo(id, title, duration)
	parsed_chapters = []
	chapters = root.find('chapter:chapters', ns)

	parsed_chapter_info.chapters = parsed_chapters
	print("{}\t\t{}\t\t{}".format(id, confirmations, title))

	for i, chapter in enumerate(chapters):
		attrib = chapter.attrib
		name = attrib["name"]
		time = attrib["time"]

		c = Chapter(i, name, time)
		parsed_chapters.append(c)

	return parsed_chapter_info


def parse_titles(root, ns):
	titles = [parse_chapter_info(chapter_info, ns) for chapter_info in root]
	return titles


def add_end_to_chapters(chapters, duration):

# Path: analyzer/utils.py
# def env(name, default=None):
# def window(seq, n=2):
# def block_shaped(image, n_rows, n_cols):
# def flatten(l):
# def camel_to_underscore(name):
# def underscore_to_camel(name):
# def change_dict_naming_convention(d, convert_function):
# 	def as_dict(self, camel=True):
# 	def from_dict(cls, data, from_camel=True):
# 	def from_dicts(cls, data, from_camel=True):
# 	def to_mongo_dict(self):
# def to_mongo_dict(obj):
# def to_dict(obj):
# def props(obj):
# def image_filename(index, file_type="jpg"):
# def extract_filename(path):
# def extract_name(file):
# def basepath(path):
# def extract_index(path):
# def objects_as_dict(objects):
# def slice_paths(paths, limit):
# def derivative(distances):
# def crop_image(image, cx=20, cy=20):
# DEBUG = bool(int(getenv('DEBUG', False)))
# 	T = type(objects[0])
# class Model(object):
# 
# Path: analyzer/timestamp.py
# class Timestamp(object):
# 	def __init__(self, val):
# 		if type(val) is str:
# 			timestamp_pattern = "(?:(?:(?:(\d?\d):)?(\d?\d):)?(\d?\d))?(?:[,.](\d?\d?\d))?"
# 			regex = re.compile(timestamp_pattern)
# 			regex_result = regex.match(val)
# 
# 			if regex_result is not None:
# 				groups = regex_result.groups()
# 				hours = entity_to_int(groups[0])
# 				minutes = entity_to_int(groups[1])
# 				seconds = entity_to_int(groups[2])
# 				milliseconds = entity_to_int(groups[3])
# 
# 				self.millis = (hours_to_millis(hours) +
# 				               minutes_to_millis(minutes) +
# 				               seconds_to_millis(seconds) +
# 				               milliseconds)
# 		elif type(val) is int:
# 			self.millis = val
# 		else:
# 			raise Exception("Timestamp parse failed")
# 
# 	def __str__(self):
# 		return "{}".format(self.millis)
# 
# 	def __repr__(self):
# 		return self.__str__()
# 
# 	def __add__(self, other):
# 		return Timestamp(self.millis + other.millis)
# 
# 	def __sub__(self, other):
# 		return Timestamp(self.millis - other.millis)
# 
# Path: analyzer/utils.py
# class Model(object):
# 	def as_dict(self, camel=True):
# 		dictionary = to_dict(self)
# 		if camel:
# 			return change_dict_naming_convention(dictionary, underscore_to_camel)
# 		else:
# 			return dictionary
# 
# 	@classmethod
# 	def from_dict(cls, data, from_camel=True):
# 		if from_camel:
# 			return change_dict_naming_convention(data, camel_to_underscore)
# 		else:
# 			return data
# 
# 	@classmethod
# 	def from_dicts(cls, data, from_camel=True):
# 		return [cls.from_dict(d) for d in data]
# 
# 	def to_mongo_dict(self):
# 		dictionary = self.as_dict()
# 		return to_mongo_dict(dictionary)
# 
# def env(name, default=None):
# 	return getenv(name, default)


# Path: analyzer/chapters_parser.py
from xml.etree import ElementTree
from analyzer import utils
from analyzer.timestamp import Timestamp
from analyzer.utils import Model, env
import urllib
import urllib.request

	id = int(ref.find('chapter:chapterSetId', ns).text)
	confirmations = root.attrib["confirmations"]

	source = root.find('chapter:source', ns)
	duration = source.find('chapter:duration', ns).text

	parsed_chapter_info = ChapterInfo(id, title, duration)
	parsed_chapters = []
	chapters = root.find('chapter:chapters', ns)

	parsed_chapter_info.chapters = parsed_chapters
	print("{}\t\t{}\t\t{}".format(id, confirmations, title))

	for i, chapter in enumerate(chapters):
		attrib = chapter.attrib
		name = attrib["name"]
		time = attrib["time"]

		c = Chapter(i, name, time)
		parsed_chapters.append(c)

	return parsed_chapter_info


def parse_titles(root, ns):
	titles = [parse_chapter_info(chapter_info, ns) for chapter_info in root]
	return titles


def add_end_to_chapters(chapters, duration):

	windows = list(utils.window(chapters))