old_contents: '''
  read about twitter entities here
  https://dev.twitter.com/overview/api/entities-in-twitter-objects
  '''
  
  class TweetParser(object):
  	def __init__(self):
  		pass
  	'''
  		get an entity from a tweet if it exists
  	'''
  	def get_entity(self, entity_type, tweet):
  		if self.contains_entity(entity_type, tweet):
  			return [entity for entity in tweet["entities"][entity_type]]
  		return []
  
  	'''
  		returns True if tweet contains one or more entities (hashtag, url, or media)
  	'''
  	@staticmethod
  	def contains_entity(entity_type, tweet):
  		if "entities" not in tweet:
  			return False
  		elif entity_type in tweet["entities"] and len(tweet["entities"][entity_type]) > 0:
  			return True
  		return False
  
  	'''
  		gets a particular field for an entity if it exists
  	'''
  	@staticmethod
  	def get_entity_field(field, entity):
  		# beacuse all entities are actually lists
  		# of entity objects
  		for entity_object in entity:
  			if field in entity_object:
  				return entity[field]
  		return None
  
  	'''
  		applies a transformation to all tweets that
  		pass through it. can be used to add fields
  		or tae off fields
  	'''
  	@staticmethod
  	def transform_tweet(map_structure, tweet):
  		pass
  		
  	'''
  		tests a tweet to see if it passes a 
  		custom filter method, this just returns the
  		value of the filter method passed in
  	'''
  	@staticmethod
  	def tweet_passes_custom_filter(function, tweet):
  		return function(tweet)
  
  	'''
  		just tests multiple custom filters
  		see, tweet_passes_custom_filter
  	'''
  	def tweet_passes_custom_filter_list(self, function_list, tweet):
  		for function in function_list:
  			if not self.tweet_passes_custom_filter(function, tweet):
  				return False
  		return True
  
  	'''
  		return true or false depends if
  		tweet passes through the filter
  		filters are just dictionaries.
  		filter = mongo style query dict
  	'''
  	def tweet_passes_filter(self, filter_obj, tweet):
  		if filter_obj == {}:
  			return True
  		# lists of tuples that
  		# come from our dicts
  		flat_tweet_list = []
  		for tweet_tuple in self.flatten_dict(tweet):
  			flat_tweet_list.append(tweet_tuple)
  		for filter_tuple in self.flatten_dict(filter_obj):
  			if filter_tuple not in flat_tweet_list:
  				return False
  		return True
  
  	'''
  		get a list of lists that contains the 
  		keys that are in our filter and the value
  		at the end of those keys. makes a list of tuples.
  	'''
  	def flatten_dict(self, dict_obj, path=None):
  		if path is None:
  			path = []
  		if isinstance(dict_obj, dict):
  			for key in dict_obj.keys():
  				local_path = path[:]
  				local_path.append(key)
  				for val in self.flatten_dict(dict_obj[key], local_path):
  					yield val
  		else:
  			yield path, dict_obj
  
new_contents: '''
  read about twitter entities here
  https://dev.twitter.com/overview/api/entities-in-twitter-objects
  '''
  
  class TweetParser(object):
  	def __init__(self):
  		pass
  	'''
  		get an entity from a tweet if it exists
  	'''
  	def get_entity(self, entity_type, tweet):
  		if self.contains_entity(entity_type, tweet):
  			return [entity for entity in tweet["entities"][entity_type]]
  		return []
  
  	'''
  		returns True if tweet contains one or more entities (hashtag, url, or media)
  	'''
  	@staticmethod
  	def contains_entity(entity_type, tweet):
  		if "entities" not in tweet:
  			return False
  		elif entity_type in tweet["entities"] and len(tweet["entities"][entity_type]) > 0:
  			return True
  		return False
  
  	'''
  		gets a particular field for an entity if it exists
  	'''
  	@staticmethod
  	def get_entity_field(field, entity):
  		# beacuse all entities are actually lists
  		# of entity objects
  		for entity_object in entity:
  			if field in entity_object:
  				return entity[field]
  		return None
  
  	'''
  		applies a transformation to all tweets that
  		pass through it. can be used to add fields
  		or tae off fields
  	'''
  	@staticmethod
  	def transform_tweet(map_structure, tweet):
  		pass
  
  	'''
  		tests a tweet to see if it passes a 
  		custom filter method, this just returns the
  		value of the filter method passed in
  	'''
  	@staticmethod
  	def tweet_passes_custom_filter(function, tweet):
  		return function(tweet)
  
  	'''
  		just tests multiple custom filters
  		see, tweet_passes_custom_filter
  	'''
  	def tweet_passes_custom_filter_list(self, function_list, tweet):
  		for function in function_list:
  			if not self.tweet_passes_custom_filter(function, tweet):
  				return False
  		return True
  
  	'''
  		return true or false depends if
  		tweet passes through the filter
  		filters are just dictionaries.
  		filter = mongo style query dict
  	'''
  	def tweet_passes_filter(self, filter_obj, tweet):
  		if filter_obj == {}:
  			return True
  		# lists of tuples that
  		# come from our dicts
  		flat_tweet_list = []
  		for tweet_tuple in self.flatten_dict(tweet):
  			flat_tweet_list.append(tweet_tuple)
  		for filter_tuple in self.flatten_dict(filter_obj):
  			if filter_tuple not in flat_tweet_list:
  				return False
  		return True
  
  	'''
  		get a list of lists that contains the 
  		keys that are in our filter and the value
  		at the end of those keys. makes a list of tuples.
  	'''
  	def flatten_dict(self, dict_obj, path=None):
  		if path is None:
  			path = []
  		if isinstance(dict_obj, dict):
  			for key in dict_obj.keys():
  				local_path = path[:]
  				local_path.append(key)
  				for val in self.flatten_dict(dict_obj[key], local_path):
  					yield val
  		else:
  			yield path, dict_obj
  
subject: resolve pylint