sagemath · vbraun · Jul 25, 2025 · Jul 9, 2025 · Jul 14, 2025
diff --git a/src/sage/combinat/cluster_algebra_quiver/all.py b/src/sage/combinat/cluster_algebra_quiver/all.py
@@ -8,10 +8,10 @@
 - :ref:`sage.combinat.cluster_algebra_quiver.cluster_seed`
 """
 # install the docstring of this module to the containing package
+from sage.misc.lazy_import import lazy_import
 from sage.misc.namespace_package import install_doc
-install_doc(__package__, __doc__)
 
-from sage.misc.lazy_import import lazy_import
+install_doc(__package__, __doc__)
 lazy_import("sage.combinat.cluster_algebra_quiver.quiver_mutation_type",
             "QuiverMutationType")
 lazy_import("sage.combinat.cluster_algebra_quiver.quiver", "ClusterQuiver")

diff --git a/src/sage/combinat/cluster_algebra_quiver/cluster_seed.py b/src/sage/combinat/cluster_algebra_quiver/cluster_seed.py
@@ -2497,9 +2497,9 @@
                 sequence = self.first_green_vertex()
             elif sequence == 'red':
                 sequence = self.first_red_vertex()
-            elif sequence == 'urban' or sequence == 'urban_renewal':
+            elif sequence in {'urban', 'urban_renewal'}:
                 sequence = self.first_urban_renewal()
-            elif sequence == 'all_urbans' or sequence == 'all_urban_renewals':
+            elif sequence in {'all_urbans', 'all_urban_renewals'}:
                 sequence = self.urban_renewals()
             elif hasattr(self, sequence):
                 sequence = getattr(self, sequence)()
@@ -2575,33 +2575,32 @@
                                  ' "indices", or "cluster_vars"')
 
         # Classifies the input_type.  Raises warnings if the input is ambiguous, and errors if the input is not all of the same type.
-        else:
-            if is_vertices:
-                input_type = "vertices"
-                for x in seqq:
-                    if is_indices and seed._nlist[x] != x:
-                        print("Input can be ambiguously interpreted as both"
-                              " vertices and indices."
+        elif is_vertices:
+            input_type = "vertices"
+            for x in seqq:
+                if is_indices and seed._nlist[x] != x:
+                    print("Input can be ambiguously interpreted as both"
+                          " vertices and indices."
+                          " Mutating at vertices by default.")
+                    break
+
+                elif is_cluster_vars:
+                    cluster_var_index = seed.cluster_index(x)
+                    vertex_index = seed._nlist.index(x)
+                    if isinstance(cluster_var_index, int) and cluster_var_index != vertex_index:
+                        print("Input can be ambiguously interpreted as"
+                              " both vertices and cluster variables."
                               " Mutating at vertices by default.")
                         break
 
-                    elif is_cluster_vars:
-                        cluster_var_index = seed.cluster_index(x)
-                        vertex_index = seed._nlist.index(x)
-                        if isinstance(cluster_var_index, int) and cluster_var_index != vertex_index:
-                            print("Input can be ambiguously interpreted as"
-                                  " both vertices and cluster variables."
-                                  " Mutating at vertices by default.")
-                            break
-
-            # It should be impossible to interpret an index as a cluster variable.
-            elif is_indices:
-                input_type = "indices"
-            elif is_cluster_vars:
-                input_type = "cluster_vars"
-            else:
-                raise ValueError('mutation sequences must consist of exactly'
-                                 ' one of vertices, indices, or cluster variables')
+        # It should be impossible to interpret an index as a cluster variable.
+        elif is_indices:
+            input_type = "indices"
+        elif is_cluster_vars:
+            input_type = "cluster_vars"
+        else:
+            raise ValueError('mutation sequences must consist of exactly'
+                             ' one of vertices, indices, or cluster variables')
 
         if input_type == "cluster_vars" and len(seqq) > 1:
             mutation_seed = deepcopy(seed)
@@ -3497,8 +3496,8 @@
         Check that :issue:`14638` is fixed::
 
             sage: S = ClusterSeed(['E',6])
-            sage: MC = S.mutation_class(depth=7); len(MC)  # long time
-            534
+            sage: MC = S.mutation_class(depth=6); len(MC)  # long time
+            388
 
         Infinite type examples::
 
@@ -4170,7 +4169,7 @@
            A seed for a cluster algebra of rank 10 of type ['E', 8, [1, 1]]
            sage: S._mutation_type = S._quiver._mutation_type = None; S
            A seed for a cluster algebra of rank 10
            sage: S.mutation_type() # long time
            ['E', 8, [1, 1]]

        - the not yet working affine type D::
@@ -4266,11 +4265,10 @@
                             oddT = set(T).intersection(PathSubset(a1, 0))
                             evenT = set(T).symmetric_difference(oddT)
                             ans = ans + S.x(0)**(b*len(evenT)) * S.x(1)**(c*len(oddT))
-                    else:
-                        if is_LeeLiZel_allowable(T, a2, a1, c, b):
-                            oddT = set(T).intersection(PathSubset(a2, 0))
-                            evenT = set(T).symmetric_difference(oddT)
-                            ans = ans + S.x(0)**(b*len(oddT)) * S.x(1)**(c*len(evenT))
+                    elif is_LeeLiZel_allowable(T, a2, a1, c, b):
+                        oddT = set(T).intersection(PathSubset(a2, 0))
+                        evenT = set(T).symmetric_difference(oddT)
+                        ans = ans + S.x(0)**(b*len(oddT)) * S.x(1)**(c*len(evenT))
                 ans = ans*S.x(0)**(-a1)*S.x(1)**(-a2)
                 return ans
             elif algorithm == 'just_numbers':
@@ -4425,15 +4423,15 @@
 
         while True:
             R = PolynomialRing(QQ, gens, order='invlex')
-            I = R.ideal(rels)
-            J = R.ideal(initial_product)
+            ideal_I = R.ideal(rels)
+            ideal_J = R.ideal(initial_product)
             if verbose:
                 msg = 'Computing relations among {} generators'
                 print(msg.format(len(gens)))
             start = time.time()
-            ISat = I.saturation(J)[0]
-            spend = time.time() - start
+            ISat = ideal_I.saturation(ideal_J)[0]
             if verbose:
+                spend = time.time() - start
                 msg = 'Computed {} relations in {} seconds'
                 print(msg.format(len(ISat.gens()), spend))
             deep_ideal = R.ideal(deep_gens) + ISat
@@ -4445,7 +4443,7 @@
             spend = time.time() - start
             if M == initial_product_ideal:
                 if verbose:
-                    print('Verified that there are no new elements in', spend, 'seconds')
+                    print(f'Verified that there are no new elements in {spend} seconds')
                     print('Returning a presentation for the upper bound')
                 return R.quotient_ring(ISat)
             else:
@@ -4689,7 +4687,7 @@
         # Computes the Laurent Polynomial for each vector in the decomposition.
         finalP = []
         # Laurent polynomial for each vector in {0,1}^n
-        for i in range(len(vd)):
+        for i, vdi in enumerate(vd):
             numerator = 0
             if cList[i]:
                 # If the vector in vd is negative then it did not
@@ -4706,19 +4704,20 @@
                         expn = 0
                         # The exponent is determined by the vectors a,s, and the matrix B.
                         for k in range(num_cols):
-                            expn += (vd[i][0][k]-s[k])*max(0, B[j][k])+s[k]*max(0, -B[j][k])
-                        term *= x ** expn
+                            expn += (vdi[0][k]-s[k])*max(0, B[j][k])+s[k]*max(0, -B[j][k])
+                        term *= x**expn
                     numerator += term
             # Gives a numerator for the negative vector, or else the product would be zero.
             else:
                 numerator = 1
 
             # Uses the vectors in vd to calculates the denominator of the Laurent.
             denominator = 1
-            for l in range(num_cols):
-                denominator = denominator * (R.gen(l))**vd[i][0][l]
+            powers = vdi[0]
+            for ell in range(num_cols):
+                denominator = denominator * R.gen(ell)**powers[ell]
             # Each copy of a vector in vd contributes a factor of the Laurent polynomial calculated from it.
-            final = (numerator / denominator)**vd[i][1]
+            final = (numerator / denominator)**vdi[1]
             finalP.append(final)
         laurentP = 1
         # The UCA element for the vector a is the product of the elements produced from the vectors in its decomposition.
@@ -4756,15 +4755,15 @@
     """
     if p == 0 and q == 0:
         return 1
-    elif p < 0 or q < 0:
+    if p < 0 or q < 0:
         return 0
-    else:
-        if c*a1*q <= b*a2*p:
-            return sum((-1)**(k-1)*coeff_recurs(p-k, q, a1, a2, b, c)*_bino(a2-c*q+k-1, k)
-                       for k in range(1, p+1))
-        else:
-            return sum((-1)**(k-1)*coeff_recurs(p, q-k, a1, a2, b, c)*_bino(a1-b*p+k-1, k)
-                       for k in range(1, q+1))
+    if c * a1 * q <= b * a2 * p:
+        return sum((-1)**(k - 1) * coeff_recurs(p - k, q, a1, a2, b, c)
+                   *_bino(a2 - c * q + k - 1, k)
+                   for k in range(1, p + 1))
+    return sum((-1)**(k - 1) * coeff_recurs(p, q - k, a1, a2, b, c)
+               *_bino(a1 - b * p + k - 1, k)
+               for k in range(1, q + 1))
 
 
 def PathSubset(n, m):

diff --git a/src/sage/combinat/cluster_algebra_quiver/interact.py b/src/sage/combinat/cluster_algebra_quiver/interact.py
@@ -48,8 +48,8 @@ def cluster_interact(self, fig_size=1, circular=True, kind='seed'):
                                          description="Show last mutation vertex")
 
     mut_buttons = widgets.ToggleButtons(options=list(range(self._n)),
-                                       style={'button_width':'initial'},
-                                       description='Mutate at: ')
+                                        style={'button_width': 'initial'},
+                                        description='Mutate at: ')
 
     which_plot = widgets.Dropdown(options=['circular', 'spring'],
                                   value='circular' if circular else "spring",