Fix CI

estimator/lwe_dual.py

@@ -362,6 +362,7 @@ def __call__(
 
         EXAMPLES::
 
+            >>> warnings.filterwarnings("ignore", category=DeprecationWarning)
             >>> from estimator import *
             >>> from estimator.lwe_dual import dual_hybrid
             >>> params = LWE.Parameters(n=1024, q = 2**32, Xs=ND.Uniform(0,1), Xe=ND.DiscreteGaussian(3.0))

estimator/nd.py

@@ -338,10 +338,10 @@ def __hash__(self):
         EXAMPLE::
 
             >>> from estimator import *
-            >>> hash(ND.Uniform(-10, 10)) == hash(("Uniform", 10, 10, None))
+            >>> hash(ND.Uniform(-10, 10)) == hash(("Uniform", (-10, 10), None))
             True
         """
-        return hash(("Uniform", self.a, self.b, self.n))
+        return hash(("Uniform", self.bounds, self.n))
 
     def support_size(self, fraction=1.0):
         """

estimator/reduction.py

@@ -515,8 +515,8 @@ def __call__(self, beta, d, B=None):
 
             >>> from sage.all import var, find_fit
             >>> dim = [100, 110, 120, 130, 140, 150, 160, 170, 180, 190, 200, 210, 220, 230, 240, 250]
-            >>> nodes = [39.0, 44.0, 49.0, 54.0, 60.0, 66.0, 72.0, 78.0, 84.0, 96.0, \
-                         99.0, 105.0, 111.0, 120.0, 127.0, 134.0]
+            >>> nodes = [39.0, 44.0, 49.0, 54.0, 60.0, 66.0, 72.0, 78.0, 84.0, 96.0 ]
+            >>> nodes += [ 99.0, 105.0, 111.0, 120.0, 127.0, 134.0]  # couldn't use \\ breaks stuff
             >>> times = [c + log(200,2).n() for c in nodes]
             >>> T = list(zip(dim, nodes))
             >>> var("a,b,c,beta")

estimator/util.py

@@ -443,6 +443,7 @@ def batch_estimate(params, algorithm, jobs=1, log_level=0, catch_exceptions=True
 
         >>> from estimator import LWE
         >>> from estimator.schemes import Kyber512
+        >>> from estimator.util import batch_estimate
         >>> _ = batch_estimate(Kyber512, [LWE.primal_usvp, LWE.primal_bdd])
         >>> _ = batch_estimate(Kyber512, [LWE.primal_usvp, LWE.primal_bdd], jobs=2)