use if False
instead of commenting out code
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2a9e482e44
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@ -554,7 +554,7 @@ def eigsolve(
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prev_E = 0.0
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prev_E = 0.0
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d_scale = 1.0
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d_scale = 1.0
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prev_traceGtKG = 0.0
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prev_traceGtKG = 0.0
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#prev_theta = 0.5
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prev_theta = 0.5
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D = numpy.zeros(shape=y_shape, dtype=complex)
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D = numpy.zeros(shape=y_shape, dtype=complex)
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Z: NDArray[numpy.complex128]
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Z: NDArray[numpy.complex128]
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@ -674,7 +674,7 @@ def eigsolve(
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trace = _rtrace_AtB(R, Qi)
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trace = _rtrace_AtB(R, Qi)
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return numpy.abs(trace)
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return numpy.abs(trace)
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'''
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if False:
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def trace_deriv(theta):
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def trace_deriv(theta):
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Qi = Qi_func(theta)
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Qi = Qi_func(theta)
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c2 = numpy.cos(2 * theta)
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c2 = numpy.cos(2 * theta)
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@ -705,8 +705,18 @@ def eigsolve(
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theta = -abs(prev_theta) * numpy.sign(dE)
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theta = -abs(prev_theta) * numpy.sign(dE)
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# theta, new_E, new_dE = linmin(theta, E, dE, 0.1, min(tolerance, 1e-6), 1e-14, 0, -numpy.sign(dE) * K_PI, trace_func)
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# theta, new_E, new_dE = linmin(theta, E, dE, 0.1, min(tolerance, 1e-6), 1e-14, 0, -numpy.sign(dE) * K_PI, trace_func)
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theta, n, _, new_E, _, _new_dE = scipy.optimize.line_search(trace_func, trace_deriv, xk=theta, pk=numpy.ones((1,1)), gfk=dE, old_fval=E, c1=min(tolerance, 1e-6), c2=0.1, amax=pi)
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theta, n, _, new_E, _, _new_dE = scipy.optimize.line_search(
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'''
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trace_func,
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trace_deriv,
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xk=theta,
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pk=numpy.ones((1, 1)),
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gfk=dE,
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old_fval=E,
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c1=min(tolerance, 1e-6),
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c2=0.1,
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amax=pi,
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)
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result = scipy.optimize.minimize_scalar(trace_func, bounds=(0, pi), tol=tolerance)
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result = scipy.optimize.minimize_scalar(trace_func, bounds=(0, pi), tol=tolerance)
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new_E = result.fun
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new_E = result.fun
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theta = result.x
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theta = result.x
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@ -716,7 +726,7 @@ def eigsolve(
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Z *= numpy.cos(theta)
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Z *= numpy.cos(theta)
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Z += D * numpy.sin(theta)
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Z += D * numpy.sin(theta)
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#prev_theta = theta
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prev_theta = theta
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prev_E = E
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prev_E = E
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if callback:
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if callback:
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