def __init__(self):
# Read earliest possible trade dates. First one is mapping from coin name to
# earliest trade date and second one is reverse: mapping from date to list of
# coins whose earliest trade is the key date.
self.earliest_trade_date_by_coin = dict()
coins_by_earliest_trade_date = collections.defaultdict(set) # Dummy
utils.read_earliest_trade_dates(args.coins_earliest_trade_dates,
self.earliest_trade_date_by_coin,
coins_by_earliest_trade_date)
# mapping from coin symbol to its name to be included in outputs
self.name_by_coin = dict()
coin_by_name = dict()
utils.read_coin_name_symbols(args.coins_earliest_trade_dates,
self.name_by_coin,
coin_by_name)
# mapping from user to date of first post
self.first_post_per_user = dict()
# mapping from user to another mapping from date to number of posts made up to that
# date
self.num_posts_per_user = collections.defaultdict(
lambda: collections.defaultdict(int))
# mapping from user to another mapping from date to number of subjects initiated by
# the user up to that date
self.num_subjects_per_user = collections.defaultdict(
lambda: collections.defaultdict(int))
self.first_mention_date_by_coin = dict()
# A mapping from coin name to the first user that mentions that coin. This could have
# been a simple dict, but to be able to call utils method it's a map to another dict.
# The number of mentions for any user will always be one, and we only track of one
# user per coin.
self.first_mention = collections.defaultdict(lambda: collections.defaultdict(int))
# Keeps track of url and date of the first mention of each coin by users in the second
# list. A mapping from coin name to the URL and date of the first mention.
self.first_mention_date_url = collections.defaultdict(
lambda: collections.defaultdict(list))
def __init__(self):
# Read earliest possible trade dates. First one is mapping from coin name to
# earliest trade date and second one is reverse: mapping from date to list of
# coins whose earliest trade is the key date.
self.earliest_trade_date_by_coin = dict()
coins_by_earliest_trade_date = collections.defaultdict(set) # Dummy
utils.read_earliest_trade_dates(args.coins_earliest_trade_dates,
self.earliest_trade_date_by_coin,
coins_by_earliest_trade_date)
# mapping from coin symbol to its name to be included in outputs
self.name_by_coin = dict()
coin_by_name = dict()
utils.read_coin_name_symbols(args.coins_earliest_trade_dates,
self.name_by_coin, coin_by_name)
# mapping from user to date of first post
self.first_post_per_user = dict()
# mapping from user to another mapping from date to number of posts made up to that
# date
self.num_posts_per_user = collections.defaultdict(
lambda: collections.defaultdict(int))
# mapping from user to another mapping from date to number of subjects initiated by
# the user up to that date
self.num_subjects_per_user = collections.defaultdict(
lambda: collections.defaultdict(int))
self.first_mention_date_by_coin = dict()
# A mapping from coin name to the first user that mentions that coin. This could have
# been a simple dict, but to be able to call utils method it's a map to another dict.
# The number of mentions for any user will always be one, and we only track of one
# user per coin.
self.first_mention = collections.defaultdict(
lambda: collections.defaultdict(int))
# Keeps track of url and date of the first mention of each coin by users in the second
# list. A mapping from coin name to the URL and date of the first mention.
self.first_mention_date_url = collections.defaultdict(
lambda: collections.defaultdict(list))
def __init__(self):
# Read earliest possible introduction dates. First one is mapping from coin name to
# earliest trade date and second one is reverse: mapping from date to list of
# coins whose earliest trade is the key date.
self.earliest_trade_date_by_unmodified_coin = dict()
unmodified_coins_by_earliest_trade_date = collections.defaultdict(set) # Dummy
utils.read_earliest_trade_dates(args.unmodified_coins_earliest_trade_dates,
self.earliest_trade_date_by_unmodified_coin,
unmodified_coins_by_earliest_trade_date)
# mapping from coin symbol to its name to be included in outputs
self.name_by_unmodified_coin = dict()
coin_by_unmodified_name = dict()
utils.read_coin_name_symbols(args.unmodified_coins_earliest_trade_dates,
self.name_by_unmodified_coin,
coin_by_unmodified_name)
# mapping from coin to earliest mention in the forum or earliest mention in the first
# post of a new thread.
self.first_mention_date_by_unmodified_coin = dict()
self.first_thread_post_mention_date_by_unmodified_coin = dict()
# Used for tracking users in 1st list:
# The users who have mentioned the unmodified coin name AND symbol for
# the first time in any post any date
# A mapping from coin name to the first user that mentions that coin. This could have
# been a simple dict. update.....
# The number of mentions for any user will always be one, and we will only track of
# one user per coin.
# This could be full of false positives, and that's why we used to look at number of
# mentions, but folks disagreed...
# It could still be useful if coin mentions are assigned when both name and symbol are
# present in the text.
self.unmodified_first_mention = collections.defaultdict(
lambda: collections.defaultdict(int))
# Keeps track of url and date of the first mention of each coin by users. A mapping
# from coin name to the URL and date of the first mention.
self.unmodified_first_mention_date_url = collections.defaultdict(
lambda: collections.defaultdict(list))
# Used for tracking users in 2nd list:
# The users who have mentioned the unmodified coin name for the first time in a post
# that starts a new thread any date.
self.unmodified_first_thread_post_mention = collections.defaultdict(
lambda: collections.defaultdict(int))
# Keeps track of url and date of the first mention of each coin in first post of a
# thread by users
self.unmodified_first_thread_post_mention_date_url = collections.defaultdict(
lambda: collections.defaultdict(list))
# mapping from user to date of first post
self.first_post_per_user = dict()
# mapping from user to another mapping from date to number of posts made up to that
# date
self.num_posts_per_user = collections.defaultdict(
lambda: collections.defaultdict(int))
# mapping from user to another mapping from date to number of subjects initiated by
# the user up to that date
self.num_subjects_per_user = collections.defaultdict(
lambda: collections.defaultdict(int))
def __init__(self):
# Read earliest possible introduction dates. First one is mapping from coin name to
# earliest trade date and second one is reverse: mapping from date to list of
# coins whose earliest trade is the key date.
self.earliest_trade_date_by_unmodified_coin = dict()
unmodified_coins_by_earliest_trade_date = collections.defaultdict(
set) # Dummy
utils.read_earliest_trade_dates(
args.unmodified_coins_earliest_trade_dates,
self.earliest_trade_date_by_unmodified_coin,
unmodified_coins_by_earliest_trade_date)
# mapping from coin symbol to its name to be included in outputs
self.name_by_unmodified_coin = dict()
coin_by_unmodified_name = dict()
utils.read_coin_name_symbols(
args.unmodified_coins_earliest_trade_dates,
self.name_by_unmodified_coin, coin_by_unmodified_name)
# mapping from coin to earliest mention in the forum or earliest mention in the first
# post of a new thread.
self.first_mention_date_by_unmodified_coin = dict()
self.first_thread_post_mention_date_by_unmodified_coin = dict()
# Used for tracking users in 1st list:
# The users who have mentioned the unmodified coin name AND symbol for
# the first time in any post any date
# A mapping from coin name to the first user that mentions that coin. This could have
# been a simple dict. update.....
# The number of mentions for any user will always be one, and we will only track of
# one user per coin.
# This could be full of false positives, and that's why we used to look at number of
# mentions, but folks disagreed...
# It could still be useful if coin mentions are assigned when both name and symbol are
# present in the text.
self.unmodified_first_mention = collections.defaultdict(
lambda: collections.defaultdict(int))
# Keeps track of url and date of the first mention of each coin by users. A mapping
# from coin name to the URL and date of the first mention.
self.unmodified_first_mention_date_url = collections.defaultdict(
lambda: collections.defaultdict(list))
# Used for tracking users in 2nd list:
# The users who have mentioned the unmodified coin name for the first time in a post
# that starts a new thread any date.
self.unmodified_first_thread_post_mention = collections.defaultdict(
lambda: collections.defaultdict(int))
# Keeps track of url and date of the first mention of each coin in first post of a
# thread by users
self.unmodified_first_thread_post_mention_date_url = collections.defaultdict(
lambda: collections.defaultdict(list))
# mapping from user to date of first post
self.first_post_per_user = dict()
# mapping from user to another mapping from date to number of posts made up to that
# date
self.num_posts_per_user = collections.defaultdict(
lambda: collections.defaultdict(int))
# mapping from user to another mapping from date to number of subjects initiated by
# the user up to that date
self.num_subjects_per_user = collections.defaultdict(
lambda: collections.defaultdict(int))
def __init__(self):
# Read earliest possible introduction dates. First one is mapping from coin name to
# earliest trade date and second one is reverse: mapping from date to list of
# coins whose earliest trade is the key date.
self.earliest_trade_date_by_modified_coin = dict()
modified_coins_by_earliest_trade_date = collections.defaultdict(
set) # Dummy
utils.read_earliest_trade_dates(
args.modified_coins_earliest_trade_dates,
self.earliest_trade_date_by_modified_coin,
modified_coins_by_earliest_trade_date)
self.earliest_trade_date_by_unmodified_coin = dict()
unmodified_coins_by_earliest_trade_date = collections.defaultdict(
set) # Dummy
utils.read_earliest_trade_dates(
args.unmodified_coins_earliest_trade_dates,
self.earliest_trade_date_by_unmodified_coin,
unmodified_coins_by_earliest_trade_date)
# mapping from coin symbol to its name to be included in outputs
self.name_by_modified_coin = dict()
coin_by_modified_name = dict()
utils.read_coin_name_symbols(args.modified_coins_earliest_trade_dates,
self.name_by_modified_coin,
coin_by_modified_name)
self.name_by_unmodified_coin = dict()
coin_by_unmodified_name = dict()
utils.read_coin_name_symbols(
args.unmodified_coins_earliest_trade_dates,
self.name_by_unmodified_coin, coin_by_unmodified_name)
# mapping from coin to earliest mention in the forum or earliest mention in the first
# post of a new thread.
self.first_mention_date_by_modified_coin = dict()
self.first_thread_post_mention_date_by_modified_coin = dict()
self.first_mention_date_by_unmodified_coin = dict()
self.first_thread_post_mention_date_by_unmodified_coin = dict()
# Used for tracking users in 1st list:
# 1-The users who have mentioned the modified coin name OR symbol the most in any post
# before coin earliest date.
# A mapping from coin names to list of users along with the number of times they
# mentioned the coin in their posts. The counts will be tracked only up to the
# earliest trade date of the coin.
self.modified_mentions_per_user = collections.defaultdict(
lambda: collections.defaultdict(int))
# Keeps track of urls where users in 1st list mentioned the coin.
# A mapping from coin names to list of users along with the first k URLS they
# mentioned the coin
self.modified_urls_per_user = collections.defaultdict(
lambda: collections.defaultdict(list))
# Used for tracking users in 2nd list:
# 2-The users who have mentioned the unmodified coin name AND symbol for
# the first time in any post any date
# A mapping from coin name to the first user that mentions that coin. This could have
# been a simple dict, but for consistency, the structure of this is similar to
# coin_mention maps. The number of mentions for any user will always be one, and we
# will only track of one user per coin.
# This could be full of false positives, and that's why we look at number of mentions.
# It could still be useful if coin mentions are assigned when both name and symbol are
# present in the text.
self.unmodified_first_mention = collections.defaultdict(
lambda: collections.defaultdict(int))
# Keeps track of url and date of the first mention of each coin by users in the second
# list. A mapping from coin name to the URL and date of the first mention.
self.unmodified_first_mention_date_url = collections.defaultdict(
lambda: collections.defaultdict(list))
# Used for tracking users in 3rd list:
# 3-The users who have mentioned both the unmodified coin name AND symbol the most in
# any post before coin earliest date
self.unmodified_mentions_per_user = collections.defaultdict(
lambda: collections.defaultdict(int))
self.unmodified_urls_per_user = collections.defaultdict(
lambda: collections.defaultdict(list))
# Used for tracking users in 4th list:
# 4-The users who have mentioned both the unmodified coin name AND symbol
# for the first time in a post that starts a new thread any date.
# This could have been a simple dict, but for consistency we employed the same
# structure and coin_mention maps.
self.unmodified_first_thread_post_mention = collections.defaultdict(
lambda: collections.defaultdict(int))
# Keeps track of url and date of the first mention of each coin in first post of a
# thread by users in the fourth list.
self.unmodified_first_thread_post_mention_date_url = collections.defaultdict(
lambda: collections.defaultdict(list))
# mapping from user to date of first post
self.first_post_per_user = dict()
# mapping from user to another mapping from date to number of posts made up to that
# date
self.num_posts_per_user = collections.defaultdict(
lambda: collections.defaultdict(int))
# mapping from user to another mapping from date to number of subjects initiated by
# the user up to that date
self.num_subjects_per_user = collections.defaultdict(
lambda: collections.defaultdict(int))
