peacock-data-public-datasets-idc-llm_eval
/
env-llmeval
/lib
/python3.10
/site-packages
/sympy
/utilities
/memoization.py
from functools import wraps | |
def recurrence_memo(initial): | |
""" | |
Memo decorator for sequences defined by recurrence | |
See usage examples e.g. in the specfun/combinatorial module | |
""" | |
cache = initial | |
def decorator(f): | |
def g(n): | |
L = len(cache) | |
if n <= L - 1: | |
return cache[n] | |
for i in range(L, n + 1): | |
cache.append(f(i, cache)) | |
return cache[-1] | |
return g | |
return decorator | |
def assoc_recurrence_memo(base_seq): | |
""" | |
Memo decorator for associated sequences defined by recurrence starting from base | |
base_seq(n) -- callable to get base sequence elements | |
XXX works only for Pn0 = base_seq(0) cases | |
XXX works only for m <= n cases | |
""" | |
cache = [] | |
def decorator(f): | |
def g(n, m): | |
L = len(cache) | |
if n < L: | |
return cache[n][m] | |
for i in range(L, n + 1): | |
# get base sequence | |
F_i0 = base_seq(i) | |
F_i_cache = [F_i0] | |
cache.append(F_i_cache) | |
# XXX only works for m <= n cases | |
# generate assoc sequence | |
for j in range(1, i + 1): | |
F_ij = f(i, j, cache) | |
F_i_cache.append(F_ij) | |
return cache[n][m] | |
return g | |
return decorator | |