contentmatcher/test.py

127 lines
3.2 KiB
Python

from random import randint, choices
# item
#collection
clltn = []
# card = title, due, interval
def generate_card (clltn=[], user="bob", shared=False):
id = len(clltn) + 1
title = "".join([chr(randint(ord('a'), ord('z'))) for i in range(5)])
due = -1 #means new
interval = 0
owned_by = user
card = id, title, due, interval, owned_by, shared
return card
def generate_clltn (n_of_cards):
clltn = [] #mogoče bi blo dobro met dictionary, sam žeštejemo len zgoraj...
for n in range(n_of_cards):
clltn.append(generate_card(clltn=clltn))
return clltn
# USER
## config
max_due = 2
max_new = 1
max_deck_size = max_new + max_due
# setup
user_clltn = generate_clltn(100)
# generate deck
##1 SR - super-memo style
def get_new(user_clltn, n_of_cards):
for card in user_clltn:
pass
def get_due(user_clltn, n_of_cards):
pass
def generate_deck_sr(user_clltn, max_new, max_deck_size):
pass
def run_sr():
pass
#2 Probabilistic
## problem je, da pri probabilističnem težko nardiš, da pač en dan ni nič v decku, ker pač vedno izbere glede določeno število pač glede na uteži
def generate_weights(user_clltn, max_deck_size):
"""generiramo uteži za due in new cards posebej; vrne tuple dveh listov za weightse..."""
weights_due = []
weights_new = []
for card in user_clltn:
#problem je edgecase, ko ni populacije kar propade...
if len(user_clltn)<max_deck_size:
max_deck_size = len(user_clltn) # lame fast hack...
_, _, due, _, _, _ = card
if due > 0:
weights_due.append(due)
weights_new.append(0)
else:
weights_due.append(0)
weights_new.append(1)
return weights_new, weights_due
#TODO
def generate_deck_prob(user_clltn, max_deck_size, max_new):
deck = []
for c in range(max_deck_size):
deck.append(user_clltn[c]) # tu vzame prvic ampak moralo bi random c brez ponavljanja obteženih z "due". rabimo tudi naključnih/najnovejših? max_new novih cardov.
"""
if sum(weights_due)>0:
#due
dck = choices(user_clltn, cum_weights=weights_new, k=max_due)
dck_new = choices(user_clltn, k=max)
#new
#??
else:
dck = choices(user_clltn, k=max_new)
"""
return deck
def prob_eval(card):
id, title, due, interval, owned_by, shared = card #due je tukaj interest rate
print("intrest rate je: ", due)
gumb = input("A te " + title + " zanima?") # predpostalvjmao y = yes, m = maybe, n = no
if gumb == "y":
due = 0.99
elif gumb == "m":
due = abs(due / 1.3)
#abs je zato, ker "new" kodirano ko -1
# /1.3 in /2 sta na pamet izbrani funkciji
elif gumb=="n":
due = abs(due / 2)
card_mod = id, title, due, interval, owned_by, shared
return card_mod
#TODO
def run_prob(deck, user_clltn):
#tu more dejansko spremenit collection...
deck_mod = []
for c in deck:
c = prob_eval(c)
deck_mod.append(c)
return deck_mod
# engine
# random python stuff
## kako najt tuple v listu in ga spremeniti?
## kako vzet weight iz tuple in ga assignat pri izbiranju?
print(generate_weights(user_clltn, max_deck_size))