def handle_request(req_type: str, client_soc: socket.socket,
cir: circuit.Circuit, data: bytes):
"""
Main handler for client request after client data has been received
:param req_type: http method
:param client_soc: the client connection
:param cir: given circuit object
:param data: the client data
:return: status code
"""
# Create random stream ID and get the address port
streamID = random.randint(100, 1000)
addr_port = get_addrport(data, req_type)
# If the client used connect, do http tunneling
if req_type == 'CONNECT':
status_code = cir.start_stream(streamID, addr_port)
if status_code == 0:
# client_soc.sendall(CONNECT_RESPONSE_SUCCESS)
print("CONNECT Successful, Tunneling Encrypted Data...")
client_soc.sendall(CONNECT_RESPONSE_SUCCESS)
tunnel_mode(client_soc, cir, streamID)
# Else send the client request as is because no encryption with tls is needed
else:
status_code = cir.start_stream(streamID, addr_port)
if status_code == 0:
send_data(cir, data, streamID)
response, _ = cir.receive_data()
print(response)
client_soc.sendall(response)
tunnel_mode(client_soc, cir, streamID)
# client_soc.close()
return status_code
def __init__(self, parent, controller, show_settings, height, width):
super().__init__(parent)
self["style"] = "Background.TFrame"
self["height"] = height
self["width"] = width
self.parent = parent
self.func = None
self.start, self.end = 0, 0
self.controller = controller
self.columnconfigure(0, weight=1)
self.rowconfigure(0, weight=1)
self.circuit = Circuit(self, height=height, width=.8 * width)
self.circuit.grid(row=0, column=0, sticky="NSEW")
self.control_panel = Control_Panel(self,
height=height,
width=.2 * width)
self.control_panel.grid(row=0, column=1, sticky="NSEW")
self.handle_entries_change()
def clique_n2_th18n(n, k, edges):
clauses = []
for i in range(1, n + 1):
for j in range(i + 1, n + 1):
if (i, j) not in edges:
clauses += [[-i, -j]]
c = Circuit(input_labels=[f'x{i}' for i in range(1, n + 1)], gates={})
c.outputs = add_thn(c, c.input_labels, k, is5n=False)
def makesatvar(s):
if s[0] == 'x':
return int(s[1:])
else:
return int(s[1:]) + n + 1
for gate in c.gates.keys():
var = makesatvar(gate)
pr1 = makesatvar(c.gates[gate][0])
pr2 = makesatvar(c.gates[gate][1])
op = c.gates[gate][2]
clauses += [[pr1, pr2, var if op[0] == '1' else -var]]
clauses += [[pr1, -pr2, var if op[1] == '1' else -var]]
clauses += [[-pr1, pr2, var if op[2] == '1' else -var]]
clauses += [[-pr1, -pr2, var if op[3] == '1' else -var]]
clauses += [[makesatvar(c.outputs)]]
save_cnf_formula_to_file('clique.cnf', clauses, n + len(c.gates))
return clauses, '18n'
def add_constraint(self, dip, outputs):
"""
Adds a new dip/output constraint to the SAT solver.
dip: the DIP for the constraint
outputs: the oracle outputs for the DIP passed in
"""
constraint_ckt0 = Circuit.specify_inputs(dip,
self.nodes,
self.output_names,
key_suffix="__ckt0")
constraint_ckt1 = Circuit.specify_inputs(dip,
self.nodes,
self.output_names,
key_suffix="__ckt1")
output_constraints0 = []
output_constraints1 = []
for name in constraint_ckt0.outputs():
output_constraints0.append(
constraint_ckt0.outputs()[name] == outputs[name])
output_constraints1.append(
constraint_ckt1.outputs()[name] == outputs[name])
self.solver.add(*output_constraints0)
self.solver.add(*output_constraints1)
def test_cleartext_dist32():
x = 4060000
y = 7390000
cx = 4063500
cy = 7396000
rsq = 64000000
answer = 1 if ((x - cx)**2 + (y - cy)**2) < rsq else 0
inputs = [0 for _ in range(32)]
x_bits = [int(b) for b in bin(x)[2:]]
if len(x_bits) < 32:
x_bits = [0 for _ in range(32 - len(x_bits))] + x_bits
y_bits = [int(b) for b in bin(y)[2:]]
if len(y_bits) < 32:
y_bits = [0 for _ in range(32 - len(y_bits))] + y_bits
cx_bits = [int(b) for b in bin(cx)[2:]]
if len(cx_bits) < 32:
cx_bits = [0 for _ in range(32 - len(cx_bits))] + cx_bits
cy_bits = [int(b) for b in bin(cy)[2:]]
if len(cy_bits) < 32:
cy_bits = [0 for _ in range(32 - len(cy_bits))] + cy_bits
rsq_bits = [int(b) for b in bin(rsq)[2:]]
if len(rsq_bits) < 32:
rsq_bits = [0 for _ in range(32 - len(rsq_bits))] + rsq_bits
inputs.extend(x_bits[::-1])
inputs.extend(y_bits[::-1])
inputs.extend(cx_bits[::-1])
inputs.extend(cy_bits[::-1])
inputs.extend(rsq_bits[::-1])
c = Circuit("bristol_circuits/dist32.txt", ['V' for _ in range(192)])
out_bit = asyncio.run(c.evaluate(inputs))
assert out_bit[0] == answer, "computed wrong value"
def to_networkx(circuit: Circuit, feed_dict: CircuitState) -> networkx.DiGraph:
net = networkx.DiGraph()
sources = set(circuit.sources).union(feed_dict.keys())
for op in circuit.ops:
net.add_node(id(op), op=op.as_json, source=False, source_value=False)
for source in sources:
net.add_node(id(source),
op={'op_type': 'source'},
source=True,
source_value=bool(
feed_dict.get(source, source.default_value)))
for op in circuit.downstream_ops(source):
net.add_edge(id(source),
id(op),
line=source.as_json,
id=id(source))
for op in circuit.ops:
for out_line in op.out_lines:
for out_op in circuit.downstream_ops(out_line):
net.add_edge(id(op),
id(out_op),
line=out_line.as_json,
id=id(out_line))
js = networkx.readwrite.json_graph.node_link_data(net)
with open('graph.json', 'w') as fn:
json.dump(js, fn)
def publish():
rospy.init_node("node3", anonymous=False)
pub = rospy.Publisher('/gazebo/set_model_state', ModelState, queue_size=10)
rate = rospy.Rate(200)
nodo = ModelState()
nodo.model_name = "prius_hybrid_1"
circuit = Circuit()
circuit.run()
for i in range(2 * (len(circuit.points)) / 3, len(circuit.points)):
position = circuit.points[i]
previous_position = circuit.points[i - 1]
nodo = calculate_position_and_orientation(nodo, position,
previous_position)
pub.publish(nodo)
rate.sleep()
while not rospy.is_shutdown():
for i in range(len(circuit.points)):
position = circuit.points[i]
previous_position = circuit.points[i - 1]
nodo = calculate_position_and_orientation(nodo, position,
previous_position)
pub.publish(nodo)
rate.sleep()
def lol2():
circuit = Circuit(input_labels=['i1', 'i2', 'i3', 'i4', 'i5'])
x1, x2, x3, x4, x5 = circuit.input_labels
a0, a1 = add_sum3(circuit, [x1, x2, x3])
b0, b1 = add_sum3(circuit, [a0, x4, x5])
w1, w2 = add_sum2(circuit, [a1, b1])
circuit.outputs = [b0, w1, w2]
check_sum_circuit(circuit)
print(circuit)
def run_test_circuit_2(name):
R1 = Resistor('R1', [0, 1], 5) # 5 Ohm
V2 = VoltageSource('V2', [0, 1], 1) # 1 Volt
test_circuit = Circuit()
test_circuit.add_components([R1, V2])
test_circuit.solve_DC() # DC
test_circuit.print_matrix()
test_circuit.print_results()
def __init__(self):
pygame.init()
pygame.display.set_caption("Car tutorial")
width = 1280
height = 720
self.screen = pygame.display.set_mode((width, height))
self.clock = pygame.time.Clock()
self.ticks = 60
self.exit = False
self.circuit = Circuit(self.screen)
class AStarHandler:
def __init__(self, heuristic):
self.circuit = Circuit()
self.circuit.start()
self.bestPerformer = copy.deepcopy(self.circuit)
self.matrix = [[0 for x in range(self.circuit.ROWS)]
for y in range(self.circuit.COLS)]
self.updateMatrix()
for wiresPermut in itertools.permutations(
self.circuit.getWires(), len(self.circuit.getWires())):
#print(wiresPermut)
for wireKey in wiresPermut:
#print(wireKey)
wire = self.circuit.wires[wireKey]
start = self.matrix[wire.startR][wire.startC]
dest = self.matrix[wire.goalR][wire.goalC]
path = astar(start, dest, self.matrix, heuristic)
if len(path) < 1:
continue
current = path[0]
for item in path:
move = item.row - current.row, item.col - current.col
#print(move)
#print(item.row, item.col)
self.circuit.move(wireKey, move[0], move[1])
current = item
self.updateMatrix()
#self.circuit.printPathMatrix()
#print("circuit fitness: ",self.circuit.getFitness()," Best performer fitness " ,self.bestPerformer.getFitness())
if (int(self.circuit.getFitness()) > int(
self.bestPerformer.getFitness())):
#print("Updated best")
self.bestPerformer = copy.deepcopy(self.circuit)
self.circuit.restart()
self.updateMatrix()
#print("Best performer has fitness: ", self.bestPerformer.getFitness())
print("Turns: " + str(self.bestPerformer.getTotalTurns()))
print("WireLength: " + str(self.bestPerformer.getWireLength()))
print("Completed Wires: " +
str(self.bestPerformer.getCompletedWires()))
print("Fitness: " + str(self.bestPerformer.getFitness()))
self.bestPerformer.drawResult()
def updateMatrix(self):
for row in range(self.circuit.ROWS):
for col in range(self.circuit.COLS):
self.matrix[row][col] = Node(self.circuit.pathM[row][col], row,
col)
#print(self.matrix[row][col].value)
for wireKey in self.circuit.getWires():
wire = self.circuit.wires[wireKey]
#print(wire.goalR, wire.goalC)
self.matrix[wire.goalR][wire.goalC].value = 2
def main():
parser = argparse.ArgumentParser()
parser.add_argument("-ckt",
type=str,
required=True,
help="name of the ircuit, e.g. c17, no extension")
parser.add_argument("-tp",
type=int,
required=True,
help="name of the ircuit, e.g. c17, no extension")
parser.add_argument("-cpu",
type=int,
required=True,
help="name of the ircuit, e.g. c17, no extension")
args = parser.parse_args()
print("\n======================================================")
print("Run | circuit: {} | Test Count: {} | CPUs: {}".format(
args.ckt, args.tp, args.cpu))
start_time = time.time()
circuit = Circuit(args.ckt)
circuit.read_circuit()
circuit.lev()
# inputnum = len(circuit.input_num_list)
# limit = [0, pow(2, inputnum)-1]
# for i in range(100):
# b = ('{:0%db}'%inputnum).format(randint(limit[0], limit[1]))
# list_to_logicsim = []
# for j in range(inputnum):
# list_to_logicsim.append(int(b[j]))
# circuit.logic_sim(list_to_logicsim)
# print(b)
# # print_nodes(circuit)
# observability() need to follow controllability()
circuit.SCOAP_CC()
circuit.SCOAP_CO()
# circuit.STAFAN_CS(100)
# circuit.STAFAN_B()
circuit.STAFAN(args.tp, num_proc=args.cpu)
# circuit.co_ob_info()
graph = circuit.gen_graph()
suffix = round(math.log10(args.tp))
fname = ("10e" + str(suffix)) if (suffix % 1 == 0) else str(args.tp)
fname = "./../data/graph/" + args.ckt + "_" + fname + ".graphml"
print("Saving graph in ", fname)
nx.write_graphml(graph, fname)
print("Saved!")
print("Total simulation ime: {:.2f} seconds".format(time.time() -
start_time))
print()
def exp_check_c432_behavioral(
mode="ckt",
tp=100,
):
if mode not in ["ckt", "v"]:
raise NameError("mode {} is not accepted".format(mode))
print(
"Checking c432 behavioral golden with c432 in {} format".format(mode))
circuit = Circuit("c432")
LoadCircuit(circuit, mode)
circuit.lev()
check_c432_logicsim(circuit, tp, mode)
def test_circuit_resistance():
circuit = Circuit()
battery = VoltageSource(circuit, 9) # 9 volts
resistor = Resistor(circuit, 10) # 1 ohm
battery.negative = resistor.positive
battery.positive = resistor.negative = circuit._ground
print circuit.graph.edges()
mna = circuit.assemble_mna_equation()
stuff = mna.simulate(10.0, 0.1)
circuit.draw()
plt.savefig('crkt1.png')
def test_cleartext_unnormalized_subregion_example():
answer = 300
inputs = [0 for _ in range(64)] + [1 for _ in range(1200)]
c = Circuit("bristol_circuits/unnormalized_subregion_100_10.txt",
['V' for _ in range(1264)])
out_bits = asyncio.run(c.evaluate(inputs))
out_string = ''.join([str(i) for i in list(reversed(out_bits))])
for i in range(10):
assert eval('0b' + out_string[i * 64:(i + 1) *
64]) == answer, "computed wrong value"
def run_circuit_process(t, n, c_path, index, queues, main_queue, inputs,
triples):
print(f"starting node {index}")
shamir = Shamir(t, n)
messenger = MockMessenger(t, n, index, queues)
c = Circuit(c_path)
outputs = c.evaluate(inputs,
shamir=shamir,
messenger=messenger,
triples=triples)
main_queue.put(outputs)
print(f"closing node {index}")
def test_eval_order(self):
c = Circuit(2)
f = AdditionGate("F")
g = AdditionGate("G")
h = ScalarMultGate(2, "H")
c.add_gate(h, ["INPUT1"])
c.add_gate(f, ["H","INPUT0"])
c.add_gate(g, ["F", "H"], True)
self.assertEqual(c.eval_order(), ['H', 'F', 'G', 'OUTPUT'])
def run_test_circuit_4(name):
G2 = Conductor('G2', [1, 0], 0.25) # 0.5 1/Ohm
R1 = Resistor('R1', [1, 2], 1) # 2 Ohm
R3 = Resistor('R3', [2, 0], 5) # 4 Ohm
I4 = CurrentSource('I4', [0, 1], 2) # 0.5 Ampere
test_circuit = Circuit()
test_circuit.add_components([R1, G2, R3, I4])
test_circuit.solve_DC() # DC
test_circuit.print_matrix()
test_circuit.print_results()
def run_test_circuit_3(name):
R1 = Resistor('R1', [1, 0], 2) # 2 Ohm
R2 = Resistor('R2', [1, 2], 1) # 1 Ohm
R3 = Resistor('R3', [2, 0], 5) # 1 Ohm
V4 = VoltageSource('V4', [1, 0], 4) # 1 Volt
test_circuit = Circuit()
test_circuit.add_components([R1, R2, R3, V4])
test_circuit.solve_DC('HM10') # DC
test_circuit.print_matrix()
test_circuit.print_results()
def __init__(self):
local_dir = os.path.dirname(__file__)
config_path = os.path.join(local_dir, 'config')
self.circuit = Circuit()
self.circuit.start()
self.wireNames = self.circuit.getWires()
self.numInputs = self.circuit.getPathMatrixSize() + len(
self.wireNames) * 4
self.numOutputs = len(self.wireNames) * 4
self.editConfig(config_path)
self.bestFitness = -999999
self.stats = None
self.run(config_path)
def load_neurohdf(filename, hdf5path, memmapped=False):
""" Loads the circuit from a NeuroHDF file as exported from CATMAID
Parameters
----------
filename : str
Path to the NeuroHDF file
hdfpath : str
HDF5 path to the irregular dataset containing the circuit
e.g. /Microcircuit
"""
if memmapped:
raise NotImplementedError('Memmapped HDF5 reading not yet implemented')
circuit = Circuit()
f = h5py.File(filename, 'r')
circuitdata_group=f[hdf5path]
vertices_group = circuitdata_group.get('vertices')
connectivity_group = circuitdata_group.get('connectivity')
metadata_group = circuitdata_group.get('metadata')
def helpdict(v):
helpdict = dict.fromkeys( v.attrs.keys() )
for k in helpdict:
helpdict[k] = v.attrs.get(k)
return helpdict
for k,v in vertices_group.items():
if k == 'id':
circuit.vertices = vertices_group[k].value
else:
circuit.vertices_properties[k] = dict.fromkeys( [const.DATA, const.METADATA] )
circuit.vertices_properties[k][const.DATA] = v.value
circuit.vertices_properties[k][const.METADATA] = helpdict(v)
print('Added vertices {0}'.format(k))
for k,v in connectivity_group.items():
if k == 'id':
circuit.connectivity = connectivity_group[k].value
else:
circuit.connectivity_properties[k] = dict.fromkeys( [const.DATA, const.METADATA] )
circuit.connectivity_properties[k][const.DATA] = v.value
circuit.connectivity_properties[k][const.METADATA] = helpdict(v)
print('Added connectivity {0}'.format(k))
if metadata_group:
for k,v in metadata_group.items():
circuit.metadata[k] = dict.fromkeys( [const.DATA, const.METADATA] )
circuit.metadata[k][const.DATA] = v.value
circuit.metadata[k][const.METADATA] = helpdict(v)
print('Added metadata {0}'.format(k))
circuit._remap_vertices_id2indices()
f.close()
return circuit
def test_simple_calc():
x1, x2 = Input(), Input()
coef1, coef2 = Parameter(1), Parameter(3)
func = Circuit([x1, x2], [x1 * coef1 + x2 * coef2])
assert func([1, 1]) == [4]
assert func([10, -1]) == [7]
func_clone = func.clone()
coef1.val = -1
assert func([1, 1]) == [2]
assert func([10, -1]) == [-13]
assert func_clone([1, 1]) == [4]
assert func_clone([10, -1]) == [7]
def __init__(self, nodes, output_names):
self.nodes = nodes
self.output_names = output_names
self.locked_ckt0 = Circuit.from_nodes(nodes,
output_names,
key_suffix="__ckt0")
self.locked_ckt1 = Circuit.from_nodes(nodes,
output_names,
key_suffix="__ckt1")
self.miter_ckt = Circuit.miter(self.locked_ckt0, self.locked_ckt1)
self.solver = Solver()
self.solver.add(self.miter_ckt.outputs()["diff"] == True)
def build_circuit(cir: circuit.Circuit):
"""
Main function to build a circuit
:param cir: given initialized circuit object
:return: status code
"""
# Incrementally build the circuit hops and if something wrong happens at some point return error
status_code = cir.build_hop_1()
if status_code == 0:
status_code = cir.build_hop_2()
if status_code == 0:
status_code = cir.build_hop_3()
return status_code
return 1
def main():
parser = argparse.ArgumentParser()
parser.add_argument("-ckt", type=str, required=True, help="circuit name, c17, no extension")
parser.add_argument("-tp", type=int, required=False, help="number of tp for random sim")
parser.add_argument("-cpu", type=int, required=False, help="number of parallel CPUs")
args = parser.parse_args()
print("\n======================================================")
print("Run | circuit: {} | Test Count: {} | CPUs: {}".format(args.ckt, args.tp, args.cpu))
print("======================================================\n")
circuit = Circuit(args.ckt)
LoadCircuit(circuit, "ckt")
circuit.lev()
def run(self, qc):
circ = Circuit(qc.num_qubits)
global_phase = 0.0
for gate in qc.gates:
rules, phase = gate.unroll()
global_phase += phase
for basis_gate in rules:
circ.append(basis_gate)
global_phase = sign(global_phase) * (abs(global_phase) % (2 * pi))
return circ, global_phase
def compile_unitary(U):
"""
Takes a unitary and returns a circuit - i.e. a list of CNOTs and single qubit gates.
"""
# perform two level decomposition
two_level_unitaries = two_level_decomp(U)
assert(np.allclose(mat_mul(two_level_unitaries), U))
controlled_ops = []
# decompose each two-level unitary into fully controlled operations
for t in two_level_unitaries:
controlled_ops += two_level_to_fully_controlled(t)
assert(np.allclose(mat_mul(controlled_ops),U))
gates = []
# decompose each fully controlled operations into single qubit and CNOT gates
for c in controlled_ops:
gates += fully_controlled_to_single_cnot(c)
circ = Circuit(n)
circ.add_gates(gates)
prod = circ.evaluate()
assert(np.allclose(prod, U))
print('number of two-level: ' + str(len(two_level_unitaries)))
print('number of fully controlled ops: ' + str(len(controlled_ops)))
print('number of CNOT and single qubit gates: ' + str(len(gates)))
s = [g for g in gates if type(g) is SingleQubitGate]
c = [g for g in gates if type(g) is CNOTGate]
print('Single gates: ' + str(len(s)))
print('CNOT gates: ' + str(len(c)))
print('approximation error: ' + str(np.linalg.norm(prod-U)))
for g in gates:
if np.allclose(g.total_matrix(), np.eye(2**g.num_qubits)):
print('redundant gate')
return circ
def getCircuits(self):
focus_goal = (math.floor(self.focus_ratio * self.num_of_circuits * self.num_of_exerecises)) if (self.focus != '') else 0
while (self.num_of_circuits > 0):
circuit = Circuit(self.filtered_exercise_list, self.num_of_exerecises, self.focus, focus_goal, self.no_weights, self.no_stability_ball, self.no_machines)
self.circuits.append(circuit)
self.num_of_circuits -= 1
focus_goal -= circuit.focused_count
def search_till_found(x, y, n, c, shuffle_val, iterations):
# Fresh start
C = Circuit(x, y, c)
n = circuits_priority(n, c)
total_links = len(n)
heap = []
# Else the if statement crases later
heappush(heap, (100, 0))
# shuffle the deck, assign values to variables
n = shuffle_n(n, shuffle_val)
temp, spec, temp2, temp3 = -1, False, 0, 0
# Either use a while loop till you find all or a forloop for any path
# while heap[0][0] != 0:
for i in range(iterations):
shortest = shortest_path(C, x, y, c, n, total_links, spec)
if not shortest:
n = shuffle_n(n, shuffle_val)
# If it found the same path, shuffle it
elif temp == shortest[0]:
n = shuffle_n(n, shuffle_val)
# Else push the new path to the heap
else:
temp0 = heap[0][0]
if temp0 == heap[0][0]:
temp3 += 1
if temp3 >= 5:
spec = True
temp = shortest[0]
heappush(heap, shortest)
n = heap[0][1]
return heap[0]
def one_step_change_circuit(circuit, subcircuit_size=5, connected=True):
circuit_graph = circuit.construct_graph()
while True:
selected_nodes = random_combination(circuit.gates, subcircuit_size)
graph = circuit_graph.subgraph(selected_nodes)
if connected and not nx.is_weakly_connected(graph):
continue
subcircuit = tuple(graph.nodes)
subcircuit_inputs, subcircuit_outputs = get_inputs_and_outputs(
circuit, circuit_graph, subcircuit)
if len(subcircuit_outputs) == subcircuit_size:
continue
random.shuffle(subcircuit_inputs)
sub_in_tt, sub_out_tt = make_truth_tables(circuit, subcircuit_inputs,
subcircuit_outputs)
improved_circuit = find_circuit(subcircuit_inputs, subcircuit_size,
sub_in_tt, sub_out_tt)
if isinstance(improved_circuit, Circuit):
replaced_graph = circuit.replace_subgraph(improved_circuit,
subcircuit,
subcircuit_outputs)
if nx.is_directed_acyclic_graph(replaced_graph):
improved_full_circuit = Circuit.make_circuit(
replaced_graph, circuit.input_labels,
make_improved_circuit_outputs(circuit.outputs,
subcircuit_outputs,
improved_circuit.outputs))
return fix_labels(improved_full_circuit)
continue
def main():
# Parse the command-line arguments.
args = get_args()
circuit_file = args.circuit_file[0]
output_file = args.output_file
if output_file:
output_file = output_file[0]
format_csv = args.format_csv
# If the file exists, then check if it is a supported input file.
if os.path.isfile(circuit_file):
# If it is a supported input file, then parse it.
if circuit_file.endswith(".in"):
# Create a new Circuit object consisting of the gates from the input file.
circuit = Circuit(circuit_file, output_file, format_csv)
print("INFO:: Printing gates in circuit...")
print()
# Print the list of gates sorted by ID.
circuit.print_gates()
print()
# Prompt the user for desired outputs.
print("INFO:: Use spaces to select multiples (e.g., 1 4 6).")
print("INFO:: To calculate all gates, just press 'Enter' without inputting anything.")
selected_output = input("INPUT:: Select gates: ")
# Validate the selected outputs to ensure they are in range.
print("INFO:: Validating selected outputs...")
selected_outputs = validate_selected_outputs(selected_output.split(), len(circuit.get_gates()))
# Generate the truth table for the selected outputs.
if output_file:
print("INFO:: Outputting truth table to \"" + output_file + "\"...")
else:
print("INFO:: Printing truth table for selected outputs...")
print(" This may take awhile for large numbers of inputs because of 2^n combinations...")
print(" Total Combinations: " + str(pow(2, circuit.get_num_of_general_input_values())))
if output_file is None:
print()
circuit.print_truth_table(selected_outputs)
# Otherwise, display an error.
else:
print("ERROR:: Invalid file: \"" + circuit_file + "\"")
print(" File must be of extension .in (e.g. circuit1.in).")
# Otherwise, display an error.
else:
print("ERROR:: Cannot find file at path \"" + circuit_file + "\"")
def __init__(self,pin_no):
Circuit.__init__(self)
def __init__(self,pin_no):
Circuit.__init__(self)
self._pin_no = pin_no
GPIO.setmode(GPIO.BCM)
GPIO.setup(self._pin_no, GPIO.IN)
from circuit import Circuit
from grover import iterator
from measurement import measure
if __name__ == "__main__":
N = input("Enter the number of items in the search space: ")
n = int(np.ceil(np.log2(N)) + 1)
M = input("Enter the number of search targets: ")
targets = []
for i in range(M):
target = raw_input("Target %d in binary: " % (i + 1))
targets.append(target)
num_iter = input("Number of iterations: ")
initial_state = tensor(plus, n)
circuit = Circuit(n, initial_state)
# Apply the Z gate to the ancilla bit to make it |-> for phase kickback
# Multiply by root 2 to renormalize without considering the ancilla qubit
state = np.sqrt(2) * circuit.add_gate(Z, [n])
# Switch to interactive mode
plt.ion()
# Plot the initial probability amplitudes and angle
amps_fig = plt.figure(0)
amps = amps_fig.add_subplot(111)
amps.bar(np.arange(state.size / 2) + 0.1, abs(state[::2]) ** 2)
amps_fig.show()
angles_fig = plt.figure(1)
angles = angles_fig.add_subplot(111, polar=True)
theta = np.arccos(np.sqrt((2.0 ** (n - 1) - M) / (2 ** (n - 1))))
angles.plot([theta, theta], [0, 1], "g-", linewidth=2)