Remove a number of unnecessary "# type: ignores".

pyzx/circuit/emojiparser.py

@@ -32,7 +32,7 @@ def circuit_to_emoji(c: Circuit, compress_rows:bool=True) -> str:
             for s in strings: 
                 s.extend([':W_:']*(r-len(s)))
         if not hasattr(gate, "to_emoji"): raise TypeError("Gate {} cannot be converted to emoji".format(str(gate)))
-        gate.to_emoji(strings) # type: ignore
+        gate.to_emoji(strings)
         if not compress_rows:
             r = max([len(s) for s in strings])
             for s in strings: 
@@ -42,4 +42,4 @@ def circuit_to_emoji(c: Circuit, compress_rows:bool=True) -> str:
     for s in strings: 
         s.extend([':W_:']*(r-len(s)))
 
-    return "\n".join(["".join(s) for s in strings])
+    return "\n".join(["".join(s) for s in strings])

pyzx/circuit/graphparser.py

@@ -68,7 +68,7 @@ def graph_to_circuit(g:BaseGraph[VT,ET], split_phases:bool=True) -> Circuit:
                 if t == VertexType.Z: c.add_gate("ZPhase", q, phase=phase)
                 else: c.add_gate("XPhase", q, phase=phase)
 
-            neigh = [w for w in g.neighbors(v) if rs[w]==r and w<v] # type: ignore # TODO: find a different way to do comparison of vertices
+            neigh = [w for w in g.neighbors(v) if rs[w]==r and w<v] # TODO: find a different way to do comparison of vertices
             for n in neigh:
                 t2 = ty[n]
                 q2 = qs[n]

pyzx/drawing.py

@@ -550,10 +550,10 @@ def matrix_to_latex(m: np.ndarray) -> str:
     best_val = None
     denom = None
     for v in m.flat:
-        if abs(v) > epsilon: # type: ignore #TODO: Figure out how numpy typing works
+        if abs(v) > epsilon:
             if best_val is None: 
                 best_val = v
-                denom = Fraction(cmath.phase(v)/math.pi).limit_denominator(512).denominator # type: ignore #TODO: Figure out how numpy typing works
+                denom = Fraction(cmath.phase(v)/math.pi).limit_denominator(512).denominator
             else:
                 p = Fraction(cmath.phase(v)/math.pi).limit_denominator(512)
                 if p.denominator < denom:
@@ -569,7 +569,7 @@ def matrix_to_latex(m: np.ndarray) -> str:
     v = best_val
     m = m/v
 
-    s = pretty_complex(v) # type: ignore #TODO: Figure out how numpy typing works
+    s = pretty_complex(v)
     if s == "1": s = ""
     if s == "-1": s= "-"
     out += s + "\n\\begin{pmatrix}\n"

pyzx/editor.py

@@ -135,14 +135,14 @@ def graph_to_json(g: GraphS, scale:FloatInt, verts:Optional[List[int]]=None,edge
 		verts = list(g.vertices())
 	if edges is None:
 		edges = list(g.edges())
-	nodes = [{'name': int(v), # type: ignore
+	nodes = [{'name': int(v),
 			  'x': (g.row(v) + 1) * scale,
 			  'y': (g.qubit(v) + 2) * scale,
 			  't': g.type(v),
 			  'phase': phase_to_s(g.phase(v),g.type(v)) }
 			 for v in verts]
-	links = [{'source': int(g.edge_s(e)), # type: ignore
-			  'target': int(g.edge_t(e)), # type: ignore
+	links = [{'source': int(g.edge_s(e)),
+			  'target': int(g.edge_t(e)),
 			  't': g.edge_type(e) } for e in edges]
 	scalar = g.scalar.to_json()
 	return json.dumps({'nodes': nodes, 'links': links, 'scalar': scalar})
@@ -377,12 +377,12 @@ def graph_from_json(self, js: Dict[str,Any]) -> None:
 				t = int(n["t"])
 				phase = s_to_phase(n["phase"], t) # type: ignore
 				if v not in marked:
-					self.graph.add_vertex_indexed(v) # type: ignore
+					self.graph.add_vertex_indexed(v)
 				else: 
 					marked.remove(v)
 				self.graph.set_position(v, q, r)
 				self.graph.set_phase(v, phase)
-				self.graph.set_type(v, t) # type: ignore
+				self.graph.set_type(v, t)
 			self.graph.remove_vertices(marked)
 			marked = self.graph.edge_set()
 			for e in js["links"]:

pyzx/editor_actions.py

@@ -133,8 +133,8 @@ def pauli_push(g: BaseGraph[VT,ET],
             if len(new_verts) == 2:
                 etab[g.edge(new_verts[0],new_verts[1])] = [0,1]
             else:
-                r = (g.row(v) + sum(g.row(n) for n in new_verts)) / (len(new_verts) + 1)  # type: ignore # I don't understand this error
-                q = (g.qubit(v) + sum(g.qubit(n) for n in new_verts))/(len(new_verts)+1)  # type: ignore
+                r = (g.row(v) + sum(g.row(n) for n in new_verts)) / (len(new_verts) + 1)
+                q = (g.qubit(v) + sum(g.qubit(n) for n in new_verts))/(len(new_verts)+1)
                 h = g.add_vertex(VertexType.H_BOX,q,r,Fraction(1))
                 for n in new_verts: etab[g.edge(h,n)] = [1,0]
     return (etab, rem_verts, rem_edges, False)
@@ -369,4 +369,4 @@ def operations_to_js() -> str:
             {"active":False, 
              "text":v["text"], 
              "tooltip":v["tooltip"]
-            } for k,v in operations.items()})
+            } for k,v in operations.items()})

pyzx/generate.py

@@ -645,7 +645,7 @@ def phase_poly_from_gadgets(n_qubits: int, n_gadgets: int) -> Circuit:
     if n_qubits < 26:
         for integer in np.random.choice(
             2**n_qubits - 1, replace=False, size=n_gadgets
-        ):  # type: ignore # random.choice returns a list here
+        ):
             parities.add(Parity(integer + 1, n_qubits))
     elif n_qubits < 64:
         while len(parities) < n_gadgets:
@@ -683,7 +683,7 @@ def build_random_parity_map(qubits: int, n_cnots: int, circuit=None) -> MatLike:
     for gate in c.gates:
         if not hasattr(gate, "control") or not hasattr(gate, "target"):
             continue
-        matrix.row_add(gate.control, gate.target)  # type: ignore
+        matrix.row_add(gate.control, gate.target)
         for c in circuit:
-            c.row_add(gate.control, gate.target)  # type: ignore
+            c.row_add(gate.control, gate.target)
     return matrix.data

pyzx/graph/graph.py

@@ -46,7 +46,7 @@ def Graph(backend:Optional[str]=None) -> BaseGraph:
 	if backend == 'graph_tool': 
 		return GraphGT()
 	if backend == 'igraph': return GraphIG()
-	if backend == 'quizx-vec': return quizx.VecGraph() # type: ignore
+	if backend == 'quizx-vec': return quizx.VecGraph()
 	return GraphS()
 
 Graph.from_json = GraphS.from_json # type: ignore

pyzx/graph/jsonparser.py

@@ -169,7 +169,7 @@ def graph_to_json(g: BaseGraph[VT,ET], include_scalar: bool=True) -> str:
             else: name = freenamesv.pop(0)
         else: 
             try:
-                freenamesb.remove(name) if t==VertexType.BOUNDARY else freenamesv.remove(name) # type: ignore
+                freenamesb.remove(name) if t==VertexType.BOUNDARY else freenamesv.remove(name)
             except:
                 pass
                 #print("couldn't remove name '{}'".format(name))

pyzx/io.py

@@ -158,7 +158,7 @@ def graph_to_json(g: BaseGraph[VT,ET]) -> str:
             else: name = freenamesv.pop(0)
         else: 
             try:
-                freenamesb.remove(name) if t==VertexType.BOUNDARY else freenamesv.remove(name) # type: ignore
+                freenamesb.remove(name) if t==VertexType.BOUNDARY else freenamesv.remove(name)
             except:
                 pass
                 #print("couldn't remove name '{}'".format(name))

pyzx/optimize.py

@@ -77,7 +77,7 @@ def stats(circ: Circuit) -> Tuple[int,int,int]:
             two_qubit += 1
         elif g.name == 'HAD':
             had += 1
-        elif g.name != 'NOT' and g.phase != 1: # type: ignore
+        elif g.name != 'NOT' and g.phase != 1:
             non_pauli += 1
     return had, two_qubit, non_pauli
 
@@ -206,23 +206,23 @@ def topological_sort_gates(self) -> List[Gate]:
                         output.append(gs.pop(0))
                     elif g.index in available_indices:
                         available_indices.remove(g.index)
-                        q2 = g.target if q == g.control else g.control # type: ignore
+                        q2 = g.target if q == g.control else g.control
                         self.gates[q2].remove(g)
                         output.append(gs.pop(0))
                     else:
-                        ty = 1 if (g.name == 'CZ' or g.control == q) else 2 # type: ignore
+                        ty = 1 if (g.name == 'CZ' or g.control == q) else 2
                         available_indices.add(g.index)
                         remove = []
                         for i, g2 in enumerate(gs[1:]):
                             if (ty == 1 and isinstance(g2, ZPhase)) or (ty == 2 and isinstance(g2, XPhase)):
                                 output.append(g2)
                                 remove.append(i)
                             elif g2.name not in ('CZ', 'CNOT'): break
-                            elif ((ty == 1 and (g2.name == 'CZ' or g2.control == q)) or # type: ignore
-                                  (ty == 2 and g2.name == 'CNOT' and g2.target == q)): # type: ignore
+                            elif ((ty == 1 and (g2.name == 'CZ' or g2.control == q)) or
+                                  (ty == 2 and g2.name == 'CNOT' and g2.target == q)):
                                 if g2.index in available_indices:
                                     available_indices.remove(g2.index)
-                                    q2 = g2.target if q == g2.control else g2.control # type: ignore
+                                    q2 = g2.target if q == g2.control else g2.control
                                     self.gates[q2].remove(g2)
                                     output.append(g2)
                                     remove.append(i)
@@ -262,7 +262,7 @@ def add_cz(self, cz: CZ) -> None:
         if self.minimize_czs:
             for c,t in [(t1,t2),(t2,t1)]:
                 for g in self.available[c]:
-                    if g.name == 'CNOT' and g.control == c and g.target == t: # type: ignore[attr-defined]
+                    if g.name == 'CNOT' and g.control == c and g.target == t:
                         if self.availty[t] == 2:
                             if g in self.available[t]: # The gate is also available on the target qubit
                                 found_match = True
@@ -480,7 +480,7 @@ def parse_gate(self, g: Gate) -> None:
                 self.add_hadamard(t1)
                 self.add_hadamard(t2)
             if t1 not in self.hadamards and t2 not in self.hadamards:
-                self.add_cz(g) # type: ignore
+                self.add_cz(g)
             # Exactly one of t1 and t2 has a hadamard
             # So the CZ commutes trough and becomes a CNOT
             elif t1 in self.hadamards:
@@ -501,16 +501,16 @@ def parse_gate(self, g: Gate) -> None:
             if c in self.hadamards and t in self.hadamards:
                 g.control = t
                 g.target = c
-                self.add_cnot(g) # type: ignore
+                self.add_cnot(g)
             elif c not in self.hadamards and t not in self.hadamards:
-                self.add_cnot(g) # type: ignore
+                self.add_cnot(g)
             # If there is a HAD on the target, the CNOT commutes trough to become a CZ
             elif t in self.hadamards:
                 cz = CZ(c if c<t else t, c if c>t else t)
                 self.add_cz(cz)
             else: # Only the control has a hadamard gate in front of it
                 self.add_hadamard(c)
-                self.add_cnot(g) # type: ignore
+                self.add_cnot(g)
 
         else:
             raise TypeError("Unknown gate {}".format(str(g)))
@@ -774,4 +774,4 @@ def phase_block_optimize(circuit: Circuit, pre_optimize:bool=True, quiet:bool=Tr
     for g in consumed: g.index = 0
     c = Circuit(qubits)
     c.gates = consumed
-    return c
+    return c

pyzx/routing/architecture.py

@@ -261,15 +261,15 @@ def get_neighboring_vertices(self, vertex: int) -> Set[int]:
     def to_quil_device(self):
         # Only required here
         import networkx as nx
-        from pyquil.device import NxDeviceA # type: ignore
+        from pyquil.device import NxDeviceA
         edges = [edge for edge in self.graph.edges() if edge[0] in self.vertices]
         topology = nx.from_edgelist(edges)
-        device = NxDevice(topology) # type: ignore
+        device = NxDevice(topology)
         return device
 
     def visualize(self, filename=None):
         import networkx as nx
-        import matplotlib.pyplot as plt # type: ignore
+        import matplotlib.pyplot as plt
         plt.switch_backend('agg')
         g = nx.Graph()
         g.add_nodes_from(self.vertices)
@@ -918,4 +918,4 @@ def colored_print_9X9(np_array):
         arch.visualize()
 
     arch = create_architecture(IBM_Q20_TOKYO)
-    arch.visualize()
+    arch.visualize()

pyzx/routing/cnot_mapper.py

@@ -301,8 +301,8 @@ def permuted_gauss(
     else:
         circuit = y
     mat = Mat2([[matrix.data[r][c] for c in col_perm] for r in row_perm])
-    circuit.row_perm = row_perm  # type: ignore
-    circuit.col_perm = col_perm  # type: ignore
+    circuit.row_perm = row_perm
+    circuit.col_perm = col_perm
     rank = gauss(
         mode, mat, architecture, x=x, y=circuit, full_reduce=full_reduce, **kwargs
     )
@@ -389,7 +389,7 @@ def sequential_gauss(
             #    perm = current_perm
             circuits.append(circuit)  # type: ignore # Store the extracted circuit
             # Update the new permutation
-            current_perm = list(perm)  # type: ignore
+            current_perm = list(perm)
             if col:
                 permutations.append(current_perm)  # Add optimized initial permutation
                 if not row:

pyzx/routing/parity_maps.py

@@ -124,7 +124,7 @@ def update_matrix(self):
         self.matrix = Mat2.id(self.n_qubits)
         for gate in self.gates:
             if hasattr(gate, "name") and gate.name == "CNOT":
-                self.matrix.row_add(gate.control, gate.target) # type: ignore
+                self.matrix.row_add(gate.control, gate.target)
             else:
                 print(
                     "Warning: CNOT tracker can only be used for circuits with only CNOT gates!"
@@ -188,4 +188,4 @@ def __eq__(self, other):
         return False
 
     def __hash__(self):
-        return hash(str(self))
+        return hash(str(self))

pyzx/routing/phase_poly.py

@@ -772,7 +772,7 @@ def recurse(
                         qubits,
                         column,
                         phase_qubit,
-                        mode=mode,  # type: ignore
+                        mode=mode,
                         root_heuristic=RootHeuristic.RECURSIVE,
                         split_heuristic=SplitHeuristic.COUNT,
                     )
@@ -809,7 +809,7 @@ def recurse(
                         matrix,
                         cols_to_use,
                         qubits,
-                        phase_qubit=phase_qubit,  # type: ignore
+                        phase_qubit=phase_qubit,
                     )
                     # Pick the qubit where the recursion split will be most skewed.
                     chosen_row = max(

pyzx/tensor.py

@@ -137,7 +137,7 @@ def tensorfy(g: 'BaseGraph[VT,ET]', preserve_scalar:bool=True) -> np.ndarray:
                     t = H_to_tensor(d,phase)
                 else:
                     raise ValueError("Vertex %s has non-ZXH type but is not an input or output" % str(v))
-            nn = list(filter(lambda n: rows[n]<r or (rows[n]==r and n<v), neigh)) # type: ignore # TODO: allow ordering on vertex indices?
+            nn = list(filter(lambda n: rows[n]<r or (rows[n]==r and n<v), neigh)) # TODO: allow ordering on vertex indices?
             ety = {n:g.edge_type(g.edge(v,n)) for n in nn}
             nn.sort(key=lambda n: ety[n]) 
             for n in nn:
@@ -202,8 +202,8 @@ def compare_tensors(t1: TensorConvertible,t2: TensorConvertible, preserve_scalar
     if preserve_scalar: return False # We do not check for equality up to scalar
     epsilon = 10**-14
     for i,a in enumerate(t1.flat):
-        if abs(a)>epsilon: # type: ignore #TODO: Figure out how numpy typing works
-            if abs(t2.flat[i])<epsilon: return False # type: ignore #TODO: Figure out how numpy typing works
+        if abs(a)>epsilon:
+            if abs(t2.flat[i])<epsilon: return False
             break
     else:
         raise ValueError("Tensor is too close to zero")
@@ -225,9 +225,9 @@ def find_scalar_correction(t1: TensorConvertible, t2:TensorConvertible) -> compl
 
     epsilon = 10**-14
     for i,a in enumerate(t1.flat):
-        if abs(a)>epsilon: # type: ignore #TODO: Figure out how numpy typing works
-            if abs(t2.flat[i])<epsilon: return 0 # type: ignore #TODO: Figure out how numpy typing works
-            return a/t2.flat[i] # type: ignore #TODO: Figure out how numpy typing works
+        if abs(a)>epsilon:
+            if abs(t2.flat[i])<epsilon: return 0
+            return a/t2.flat[i]
 
     return 0
 

pyzx/tikz.py

@@ -83,9 +83,9 @@ def _to_tikz(g: BaseGraph[VT,ET], draw_scalar:bool = False,
             else: phase = r"$%s\pi$" % ns
         x = g.row(v) + xoffset
         y = - g.qubit(v) - yoffset
-        s = "        \\node [style={}] ({:d}) at ({:.2f}, {:.2f}) {{{:s}}};".format(style,v+idoffset,x,y,phase) # type: ignore
+        s = "        \\node [style={}] ({:d}) at ({:.2f}, {:.2f}) {{{:s}}};".format(style,v+idoffset,x,y,phase)
         verts.append(s)
-        maxindex = max([v+idoffset,maxindex]) # type: ignore
+        maxindex = max([v+idoffset,maxindex])
     edges = []
     for e in g.edges():
         v,w = g.edge_st(e)
@@ -104,7 +104,7 @@ def _to_tikz(g: BaseGraph[VT,ET], draw_scalar:bool = False,
         else:
             style = settings.tikz_classes['edge']
             if style: s += "[style={:s}] ".format(style)
-        s += "({:d}) to ({:d});".format(v+idoffset,w+idoffset) # type: ignore
+        s += "({:d}) to ({:d});".format(v+idoffset,w+idoffset)
         edges.append(s)
 
     return (verts, edges)

requirements.txt

@@ -7,3 +7,4 @@ sphinx>=2.3
 sphinx_autodoc_typehints>=1.10
 sphinx_rtd_theme>=0.4
 tqdm>=4.56.0
+mypy>=0.990