def __repr__(self):
if self.is_dagger:
return repr(self.dagger()) + ".dagger()"
return "ClassicalGate({}, n_bits_in={}, n_bits_out={}{})".format(
repr(self.name), len(self.dom), len(self.cod),
"" if self.data is None else ", array={}".format(
np.array2string(self.array.flatten())))
def __repr__(self):
if self.is_dagger:
return repr(self.dagger()) + ".dagger()"
data = np.array2string(self.array.flatten())\
if self.is_linear else self.data
return "ClassicalGate({}, n_bits_in={}, n_bits_out={}, data={})"\
.format(repr(self.name), len(self.dom), len(self.cod), data)
def __repr__(self):
if self in GATES:
return self.name
return "QuantumGate({}, n_qubits={}, array={})".format(
repr(self.name), len(self.dom),
np.array2string(self.array.flatten()))
def __repr__(self):
return "ClassicalGate({}, n_bits_in={}, n_bits_out={}, array={}){}".format(
repr(self.name), len(self.dom), len(self.cod),
np.array2string(self.array.flatten()),
".dagger()" if self._dagger else "")
def __repr__(self):
return "CQMap(dom={}, cod={}, array={})".format(
self.dom, self.cod, np.array2string(self.array.flatten()))