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Release VELORYN v1.0.0: boundary-kernel entropy theory
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import json
import random
import unittest
from decimal import Decimal,localcontext
from fractions import Fraction as Q
from pathlib import Path
from veloryn import Field,Source,collision_matrix,target_mass,ResourceLimit
from veloryn.arithmetic import ReturnCone,Interval,sqrt_interval
from veloryn.numerics import log_bounds,spectral_bounds,matmul
from veloryn.entropy import renyi_interval,shannon_interval
from veloryn.examples import fair,markov,periodic,mixture,variable,hidden
from reference import distributions,moment_matrix,aggregate,paths
COUNTS={"exact_moment_matrix_entries":0,"exact_target_masses":0,
"matrix_inequality_entries":0,"retained_true_return_steps":0,
"numerical_log_enclosures":0,"spectral_enclosures":0}
def dec(x):
x=Q(x)
return Decimal(x.numerator)/Decimal(x.denominator)
class ArithmeticTests(unittest.TestCase):
def test_exact_fields(self):
for f in [Field("integer"),Field("integer",3),Field("phi"),Field("salem")]:
v=f.zero
# beta^degree + sum f_i beta^i = 0, verified in integer coordinates.
powers=[f.digit(1)]
for _ in range(f.degree):
powers.append(f.step(powers[-1]))
result=list(powers[-1])
for i,c in enumerate(f.polynomial):
result=[a+c*b for a,b in zip(result,powers[i])]
self.assertEqual(tuple(result),v)
def test_logarithms(self):
with localcontext() as ctx:
ctx.prec=100
for x in [Q(1),Q(2),Q(1,3),Q(10**50),Q(1,2**500),Q(2**500+1),Q(17,19)]:
for tol in [Q(1,100),Q(1,10**15),Q(1,2**150)]:
lo,hi=log_bounds(x,tol)
self.assertLessEqual(hi-lo,tol)
self.assertLessEqual(dec(lo),dec(x).ln())
self.assertGreaterEqual(dec(hi),dec(x).ln())
COUNTS["numerical_log_enclosures"]+=1
def test_return_gates_do_not_prune_true_bridges(self):
for model in ["integer","phi","salem"]:
src=fair(model)
for n in range(1,8):
gate=ReturnCone(src.field,src.digits,n)
records=[]
for path,end,p in paths(src,n,0):
target,units=src.path_map(path)
records.append((target,units))
for x,ux in records:
for y,uy in records:
if x!=y:
continue
carry=src.field.zero
for t,(a,b) in enumerate(zip(ux,uy),1):
carry=src.field.step(carry,tuple(v-w for v,w in zip(a,b)))
self.assertTrue(gate.allows(carry,t))
COUNTS["retained_true_return_steps"]+=1
def test_spectral_roots(self):
cases=[([[Q(1,2)]],Q(1,2)),
([[0,Q(1,2)],[Q(1,8),0]],Q(1,4)),
([[Q(1,2),Q(1,4)],[0,Q(1,4)]],Q(1,2)),
([[Q(1,4),0,0],[0,0,Q(1,2)],[0,Q(1,8),0]],Q(1,4)),
([[Q(1,3),Q(1,7),0],[0,Q(1,3),Q(1,7)],[0,0,Q(1,3)]],Q(1,3))]
for matrix,root in cases:
result=spectral_bounds(matrix,Q(1,10**18))
self.assertLessEqual(result['lower'],root)
self.assertGreaterEqual(result['upper'],root)
self.assertLessEqual(result['upper']-result['lower'],Q(1,10**18)*result['lower'])
COUNTS['spectral_enclosures']+=1
class CompilerTests(unittest.TestCase):
def test_all_kernel_entries_against_exhaustive(self):
sources=[fair(),fair('salem'),fair('integer'),markov(),markov('salem'),
periodic(),mixture(),variable(),variable('salem'),hidden()]
for src in sources:
for n in range(1,6):
for q in [2,3]:
if src.states==3 and n>4 and q==3:
continue
with self.subTest(field=src.field.name,states=src.states,clock=src.kmax,n=n,q=q):
matrix,diag=collision_matrix(src,n,q)
expected=moment_matrix(src,n,q)
self.assertEqual(matrix,expected)
self.assertFalse(diag['truncated'])
COUNTS['exact_moment_matrix_entries']+=src.states**2
for q in [4,5]:
for n in [1,2,3]:
src=fair()
self.assertEqual(collision_matrix(src,n,q)[0],moment_matrix(src,n,q))
COUNTS['exact_moment_matrix_entries']+=1
def test_masses_against_exhaustive(self):
for src in [fair(),fair('salem'),markov(),variable(),hidden(),mixture()]:
for n in range(1,5):
distribution=aggregate(src,n)
cond=distributions(src,n)
seen=set()
for a in range(src.states):
for path,b,p in paths(src,n,a):
target,_=src.path_map(path)
mass,_=target_mass(src,path,start=a,end=b)
self.assertEqual(mass,cond[a][(b,target[0],target[1])])
COUNTS['exact_target_masses']+=1
if target not in seen:
seen.add(target)
self.assertEqual(target_mass(src,path)[0],distribution[target])
COUNTS['exact_target_masses']+=1
def test_matrix_sandwich(self):
for src in [fair(),markov(),periodic(),variable(),mixture(),hidden()]:
for n in range(1,4):
for m in range(1,4):
for q in [0,2,3,4]:
a=moment_matrix(src,n,q)
b=moment_matrix(src,m,q)
c=moment_matrix(src,n+m,q)
product=matmul(a,b)
factor=Q(src.states*src.split_bound(n))**(q-1)
for i in range(src.states):
for j in range(src.states):
lo,hi=(product[i][j],factor*product[i][j]) if q>1 else (factor*product[i][j],product[i][j])
self.assertLessEqual(lo,c[i][j])
self.assertGreaterEqual(hi,c[i][j])
COUNTS['matrix_inequality_entries']+=1
def test_scalar_iid_inequality_really_fails(self):
src=markov('integer')
c1=sum(p*p for p in aggregate(src,1).values())
c2=sum(p*p for p in aggregate(src,2).values())
self.assertEqual(c1,Q(17,25))
self.assertEqual(c2,Q(11,25))
self.assertLess(c2,c1*c1)
self.assertEqual(c1*c1-c2,Q(14,625))
def test_clock_is_part_of_equality(self):
src=Source(Field('phi'),1,[(0,0,1,1,Q(1,2)),(0,0,1,2,Q(1,2))],[1])
self.assertEqual(collision_matrix(src,1,2)[0],[[Q(1,2)]])
self.assertEqual(target_mass(src,(0,))[0],Q(1,2))
self.assertEqual(target_mass(src,(1,))[0],Q(1,2))
def test_nonconstant_algebraic_digits(self):
src=Source(Field('phi'),1,[(0,0,(1,2),1,Q(1,3)),(0,0,(-2,1),2,Q(2,3))],[1])
for n in range(1,5):
self.assertEqual(collision_matrix(src,n,2)[0],moment_matrix(src,n,2))
def test_all_zero_digits_with_variable_clocks(self):
src=Source(Field('salem'),1,[(0,0,0,1,Q(1,2)),(0,0,0,2,Q(1,2))],[1])
for n in range(1,6):
self.assertEqual(collision_matrix(src,n,2)[0],moment_matrix(src,n,2))
def test_varied_rational_hidden_sources(self):
rng=random.Random(77191)
for index in range(24):
f=Field(["integer","phi","salem"][index%3])
s=1+index%3
edges=[]
for a in range(s):
for end,p in [(a,Q(1,4)),(a,Q(1,4)),((a+1)%s,Q(1,2))]:
digit=tuple(rng.randrange(-2,3) for _ in range(f.degree))
clock=rng.randrange(1,4)
edges.append((a,end,digit,clock,p))
src=Source(f,s,edges,[Q(1,s)]*s)
self.assertTrue(src.stationary)
for n,q in [(3,2),(2,3)]:
actual,_=collision_matrix(src,n,q)
self.assertEqual(actual,moment_matrix(src,n,q))
COUNTS['exact_moment_matrix_entries']+=s*s
def test_weighted_duplicate_edges_are_merged(self):
src=Source(Field('phi'),1,[(0,0,1,1,Q(1,3)),(0,0,1,1,Q(2,3)),(0,0,9,1,0)],[1])
self.assertEqual(collision_matrix(src,4,3)[0],[[Q(1)]])
self.assertEqual(target_mass(src,(0,0,0,0))[0],1)
def test_full_support_initial_law_does_not_enter_kernels(self):
a=markov()
b=Source(a.field,a.states,a.edges,[Q(1,2),Q(1,2)])
self.assertFalse(b.stationary)
self.assertEqual(collision_matrix(a,6,2)[0],collision_matrix(b,6,2)[0])
def test_three_state_rational_spectral_certificate(self):
matrix=[[Q(1,2),Q(1,4),0],[0,Q(1,3),Q(1,6)],[0,0,Q(1,5)]]
result=spectral_bounds(matrix,Q(1,10**20))
self.assertLessEqual(result['lower'],Q(1,2))
self.assertGreaterEqual(result['upper'],Q(1,2))
COUNTS['spectral_enclosures']+=1
def test_budget_never_returns_a_truncated_certificate(self):
with self.assertRaises(ResourceLimit):
collision_matrix(fair('salem'),10,2,max_states=1)
with self.assertRaises(ResourceLimit):
target_mass(markov(),(0,0,0,0),max_states=1)
class EntropyTests(unittest.TestCase):
def test_injective_binary_model(self):
with localcontext() as ctx:
ctx.prec=80
for n in [4,8,16]:
for q in [2,3,4]:
result=renyi_interval(fair('integer'),n,q)
lo,hi=result['interval_nats_per_branch']
truth=Decimal(2).ln()
self.assertLessEqual(dec(lo),truth)
self.assertGreaterEqual(dec(hi),truth)
def test_phase_and_mixture(self):
for n in [3,4,7]:
for src in [periodic(),mixture()]:
result=renyi_interval(src,n,2)
self.assertEqual(result['interval_nats_per_branch'],(Q(0),Q(0)))
src=mixture()
n=5
matrix,_=collision_matrix(src,n,3)
self.assertEqual(matrix,[[Q(1,2**(2*n)),0],[0,1]])
def test_seeded_shannon_reproducible(self):
src=variable()
first=shannon_interval(src,4,8,seed=17)
second=shannon_interval(src,4,8,seed=17)
self.assertEqual(first,second)
self.assertEqual(first['sampled_quantity'],'H(X_n,Z_n | Z_0)/n')
self.assertIn('pseudorandom',first['sampling_mode'])
def test_validation(self):
with self.assertRaises(ValueError):
collision_matrix(fair(),2,1)
with self.assertRaises(ValueError):
collision_matrix(fair(),True,2)
with self.assertRaises(ValueError):
Field('not_a_field')
with self.assertRaises(ValueError):
Source(Field('phi'),1,[(0,0,0,0,1)],[1])
with self.assertRaises(ValueError):
Source(Field('phi'),1,[(0,0,0,1,Q(1,2))],[1])
src=Source(Field('phi'),2,[(0,1,0,1,1),(1,0,1,1,1)],[Q(1,3),Q(2,3)])
with self.assertRaises(ValueError):
shannon_interval(src,2,2)
with self.assertRaises(ValueError):
log_bounds(0)
with self.assertRaises(ValueError):
target_mass(fair(),(0,),start=True)
def tearDownModule():
# The runner consumes these exact assertion counts; tests are not proof assistants.
path=Path(__file__).resolve().parents[1]/'evidence'/'audit_counts.json'
path.write_text(json.dumps(COUNTS,indent=2)+'\n',encoding='utf-8')
if __name__=='__main__':
unittest.main()