Source files: 3
Click here to show/hide file namesSource files:
drivers/bootstrap.py,
drivers/__init__.py,
drivers/longsequence.py
Clones detected: 5
54 of 345 lines are duplicates (15.65%)
Parameters
clustering_threshold = 10
distance_threshold = 5
size_threshold = 5
hashing_depth = 1
clusterize_using_hash = False
clusterize_using_dcup = False
Clone # 1
Distance between two fragments = 4
Clone size = 10
Source file "drivers/bootstrap.py" The first line is 399 | Source file "drivers/bootstrap.py" The first line is 393 | |
def gateset_decomp_decay_diag(gs): output = _np.zeros(3, dtype=float) for i, gate in enumerate(gs.gates.keys()): output[i] = _tools.decompose_gate_matrix(gs.gates[gate]).get('decay of diagonal rotation terms', 0) return output |
def gateset_decomp_angle(gs): output = _np.zeros(3, dtype=float) for i, gate in enumerate(gs.gates.keys()): output[i] = _tools.decompose_gate_matrix(gs.gates[gate]).get('pi rotations', 0) return output |
|
def gateset_decomp_decay_offdiag(gs): output = _np.zeros(3, dtype=float) for i, gate in enumerate(gs.gates.keys()): output[i] = _tools.decompose_gate_matrix(gs.gates[gate]).get('decay of off diagonal rotation terms', 0) return output |
def gateset_decomp_decay_diag(gs): output = _np.zeros(3, dtype=float) for i, gate in enumerate(gs.gates.keys()): output[i] = _tools.decompose_gate_matrix(gs.gates[gate]).get('decay of diagonal rotation terms', 0) return output |
Clone # 2
Distance between two fragments = 4
Clone size = 10
Source file "drivers/bootstrap.py" The first line is 315 | Source file "drivers/bootstrap.py" The first line is 266 | |
print(('Best SPAM weight is %s') % (bestSPAMWeight)) | print(('Spam weight %s') % (spWind)) | |
listOfBootStrapEstsG0toTargetSmallSpam = [] | listOfBootStrapEstsNoOptG0toTargetVarSpam = [] | |
for gs in listOfBootStrapEstsNoOpt: listOfBootStrapEstsG0toTargetSmallSpam.append(_alg.optimize_gauge(gs, 'target', targetGateset=targetGateset, spamWeight=bestSPAMWeight, constrainToTP=constrainToTP, targetGatesMetric=gateMetric, targetSpamMetric=spamMetric)) |
for gs in listOfBootStrapEstsNoOpt: listOfBootStrapEstsNoOptG0toTargetVarSpam.append(_alg.optimize_gauge(gs, 'target', targetGateset=targetGateset, spamWeight=spW, constrainToTP=constrainToTP, targetGatesMetric=gateMetric, targetSpamMetric=spamMetric)) |
Clone # 3
Distance between two fragments = 2
Clone size = 5
Source file "drivers/bootstrap.py" The first line is 380 | Source file "drivers/bootstrap.py" The first line is 417 | |
def gateset_jtracedist(gs, gs_target, mxBasis='gm'): output = _np.zeros(3, dtype=float) for i, gate in enumerate(gs_target.gates.keys()): output[i] = _tools.jtracedist(gs.gates[gate], gs_target.gates[gate], mxBasis=mxBasis) return output |
def gateset_diamonddist(gs, gs_target, mxBasis='gm'): output = _np.zeros(3, dtype=float) for i, gate in enumerate(gs_target.gates.keys()): output[i] = _tools.diamonddist(gs.gates[gate], gs_target.gates[gate], mxBasis=mxBasis) return output |
Clone # 4
Distance between two fragments = 0
Clone size = 5
Source file "drivers/bootstrap.py" The first line is 363 | Source file "drivers/bootstrap.py" The first line is 354 | |
numResamples = len(gsList) | numResamples = len(gsList) | |
gsVecArray = _np.zeros([numResamples], dtype='object') | gsVecArray = _np.zeros([numResamples], dtype='object') | |
for i in range(numResamples): gsVecArray[i] = gsList[i].to_vector() |
for i in range(numResamples): gsVecArray[i] = gsList[i].to_vector() |
|
output_gs = target_gs.copy() | output_gs = target_gs.copy() |
Clone # 5
Distance between two fragments = 2
Clone size = 5
Source file "drivers/bootstrap.py" The first line is 405 | Source file "drivers/bootstrap.py" The first line is 393 | |
def gateset_decomp_decay_offdiag(gs): output = _np.zeros(3, dtype=float) for i, gate in enumerate(gs.gates.keys()): output[i] = _tools.decompose_gate_matrix(gs.gates[gate]).get('decay of off diagonal rotation terms', 0) return output |
def gateset_decomp_angle(gs): output = _np.zeros(3, dtype=float) for i, gate in enumerate(gs.gates.keys()): output[i] = _tools.decompose_gate_matrix(gs.gates[gate]).get('pi rotations', 0) return output |