remove functools cache

cgt/distances.py

@@ -7,7 +7,6 @@
 import networkx as nx
 from sage.all import ComplexDoubleField, UniversalCyclotomicField, matrix, Matrix, real, exp, round, CC
 from scipy.optimize import minimize_scalar
-from functools import cache
 
 def mles(framework, model, genome_instances):
     """Return maximum likelihood estimates for a set of genome instances under the given model and framework"""

cgt/models.py

@@ -4,7 +4,6 @@
 from sage.all_cmdline import QQ
 from .enums import *
 from . import rearrangements
-from functools import cache
 
 class Model:
     """Defines a model. A model consists of some collection of permutations and a map from these permutations to probabilities [0,1]"""
@@ -54,12 +53,10 @@ def named_model_with_relative_probs(cls, framework, named_model_dictionary):
         model.names += list(named_model_dictionary.keys())
         return model
 
-    @cache
     def reg_rep_of_zs(self):
         """Return the regular representation of zs as comptued by PositionParadigmFramework.reg_rep_zs, but store the sparse result"""
         return self.framework.reg_rep_of_zs(self, sparse=True)
 
-    @cache
     def s_element(self, in_algebra=ALGEBRA.genome):
         if in_algebra not in {ALGEBRA.group, ALGEBRA.genome}:
             raise NotImplementedError(f"Model element for {str(in_algebra)} algebra not yet implemented")

cgt/position_paradigm.py

@@ -13,7 +13,6 @@
 from .structures import HyperoctahedralGroup
 from scipy.sparse import dok_matrix as dok
 from random import choice
-from functools import cache
 
 class PositionParadigmFramework:
     """Everything you need for working with genomes under the position paradigm"""
@@ -86,7 +85,6 @@ def one_row(self, element, as_list=False):
                 row = Permutations(self.n)(row)
         return row
 
-    @cache
     def genome_group(self):
         """Return the permutation group containing genome instances."""
         if self.oriented:
@@ -125,7 +123,6 @@ def random_genome(self, format=FORMAT.formal_sum):
         """Return a random genome"""
         return self.genome(self.random_instance(), format=format)
 
-    @cache
     def symmetry_group(self):
         """Return the symmetry group of the genomes."""
         if self.symmetry == SYMMETRY.circular:
@@ -136,7 +133,6 @@ def symmetry_group(self):
             gens = [self.genome_group().one()]
         return self.genome_group().subgroup(gens)
 
-    @cache
     def group_algebra(self):
         """Return the group alegbra, where the group is the group containing genome instances."""
         return self.genome_group().algebra(QQ)
@@ -342,7 +338,6 @@ def irreps(self, element=None):
         else:
             return representations
 
-    @cache
     def _cached_irreps(self):
         representations = []
         def irrep_function_factory(irrep, signed):