def build(self):
from gna.expression.expression_v01 import Expression_v01, ExpressionContext_v01
from gna.bundle import execute_bundles
# Initialize the expression and indices
self.expression = Expression_v01(self.formula, self.nidx)
# Dump the information
if self.opts.verbose:
print(self.expression.expressions_raw)
print(self.expression.expressions)
# Parse the expression
self.expression.parse()
# The next step is needed to name all the intermediate variables.
self.expression.guessname(self.lib, save=True)
if self.opts.verbose>2:
print('Expression tree:')
self.expression.dump_all(True)
print()
elif self.opts.verbose>1:
print('Expression tree:')
self.expression.tree.dump(True)
print()
# Put the expression into context
self.context = ExpressionContext_v01(self.cfg, ns=self.namespace)
self.expression.build(self.context)
def test_anue_free_spectra(tmp_path):
""" Test implementation of a model of antineutrino spectra with free
parameters in exponential parametrization.
"""
_enu = np.linspace(1.8, 8.0, 500, dtype='d')
Enu = C.Points(_enu, labels='anue energy')
indices = [
('i', 'isotope', ['U235', 'U238', 'Pu239', 'Pu241'])
]
expr = ['anuspec[i,r](enu())']
a = Expression_v01(expr, indices = NIndex.fromlist(indices))
a.parse()
lib = dict()
a.guessname(lib, save=True)
ns_anuexpr = env.globalns('anue_expr')
cfg = NestedDict(
anuspec = NestedDict(
bundle = dict(name='reactor_anu_spectra', version='v04'),
name = 'anuspec',
filename = ['data/reactor_anu_spectra/Huber/Huber_smooth_extrap_{isotope}_13MeV0.01MeVbin.dat',
'data/reactor_anu_spectra/Mueller/Mueller_smooth_extrap_{isotope}_13MeV0.01MeVbin.dat'],
# strategy = dict( underflow='constant', overflow='extrapolate' ),
varmode='log',
varname='anu_weight_{index}',
free_params=True,
ns_name='spectral_weights',
edges = np.concatenate( ( np.arange( 1.8, 8.7, 0.5 ), [ 12.3 ] ) ),
),
enu = NestedDict(
bundle = NestedDict(name='predefined', version='v01', major=''),
name = 'enu',
inputs = None,
outputs = Enu.single(),
),
)
context = ExpressionContext_v01(cfg, ns=ns_anuexpr)
a.build(context)
ns_anuexpr.printparameters(labels=True)
u235_spec = context.outputs.anuspec.U235
u235_spec.plot_vs(Enu.single(), label='default pars')
ns_anuexpr['spectral_weights.anu_weight_5'].set(0.3)
ns_anuexpr['spectral_weights.anu_weight_7'].set(-0.3)
plt.rcParams.update({'font.size': 14})
plt.rcParams.update({'text.usetex': True})
u235_spec.plot_vs(Enu.single(), label='update pars')
plt.yscale('log')
plt.xlabel(r'$E_{\nu}$, MeV')
plt.ylabel('Anue per MeV')
plt.legend()
plt.title('Antineutrino spectrum')
path = os.path.join(str(tmp_path), 'anuspec.png')
savefig(path, dpi=300)
allure_attach_file(path)
def test_offeq_correction_expression(tmp_path):
"""Same test but build bundle with expressions"""
_enu = np.linspace(1., 8.0, 500, dtype='d')
Enu = C.Points(_enu, labels='anue energy')
indices = [('i', 'isotope', ['U235', 'U238', 'Pu239', 'Pu241']),
('r', 'reactor', ['DB1', 'DB2', 'LA1', 'LA2', 'LA3', 'LA4'])]
expr = ['offeq_correction[i,r](enu())']
a = Expression_v01(expr, indices=NIndex.fromlist(indices))
a.parse()
lib = dict()
a.guessname(lib, save=True)
ns_offeq = env.globalns('offeq_expr')
cfg = NestedDict(
offeq_correction=NestedDict(
bundle=dict(name='reactor_offeq_spectra',
version='v03',
major='ir'),
offeq_data=
'./data/reactor_anu_spectra/Mueller/offeq/mueller_offequilibrium_corr_{isotope}.dat',
),
enu=NestedDict(
bundle=NestedDict(name='predefined', version='v01', major=''),
name='enu',
inputs=None,
outputs=Enu.single(),
),
)
context = ExpressionContext_v01(cfg, ns=ns_offeq)
a.build(context)
ns_offeq.printparameters(labels=True)
fig, ax = plt.subplots()
for iso in indices[0][2]:
corrected_spectra = context.outputs.offeq_correction[iso]['DB1'].data()
ax.plot(Enu.single().data(), corrected_spectra - 1., label=iso)
ax.set_title("Offequilibrium correction")
ax.legend(loc='best')
ax.grid()
ax.set_xlabel("Antineutrino energy, MeV")
ax.set_ylabel("(Corrected - nominal) / nominal")
suffix = 'correction'
path = os.path.join(str(tmp_path), suffix + '.png')
savefig(path, dpi=300)
savefig(path.replace('.png', '.pdf'), dpi=300)
allure_attach_file(path)
path = os.path.join(str(tmp_path), suffix + '_graph.png')
savegraph(context.outputs.offeq_correction['U235']['DB1'], path)
allure_attach_file(path)
def test_snf_spectrum_expression(tmp_path):
"""Test for new version of Daya Bay fast neutron background bundle,
updated for new integrators"""
indices = [
('s', 'site', ['EH1', 'EH2', 'EH3']),
('d', 'detector', ['AD11', 'AD12', 'AD21', 'AD22', 'AD31', 'AD32', 'AD33', 'AD34'],
dict(short='s', name='site', map=OrderedDict([('EH1', ('AD11', 'AD12')), ('EH2', ('AD21', 'AD22')), ('EH3', ('AD31', 'AD32', 'AD33', 'AD34'))]))),
]
expr = ['evis_edges()',
'fastn_shape[s]',
'bkg_spectrum_fastn[s]()'
]
a = Expression_v01(expr, indices = NIndex.fromlist(indices))
a.parse()
lib = dict()
a.guessname(lib, save=True)
ns = env.globalns('fastn')
cfg = NestedDict(
integral = NestedDict(
bundle = dict(name='integral_2d1d', version='v03'),
variables = ('evis', 'ctheta'),
edges = np.linspace(0.0, 12.0, 241, dtype='d'),
xorders = 4,
yorder = 2,
),
bkg_spectrum_fastn=NestedDict(
bundle=dict(name='dayabay_fastn_power', version='v02', major='s'),
parameter='fastn_shape',
name='bkg_spectrum_fastn',
normalize=(0.7, 12.0),
bins='evis_edges',
order=2,
),
fastn_shape=NestedDict(
bundle = dict(name="parameters", version = "v01"),
parameter='fastn_shape',
label='Fast neutron shape parameter for {site}',
pars=uncertaindict(
[ ('EH1', (67.79, 0.1132)),
('EH2', (58.30, 0.0817)),
('EH3', (68.02, 0.0997)) ],
mode='relative',
),
),
)
context = ExpressionContext_v01(cfg, ns=ns)
a.build(context)
def build(self):
from gna.expression.expression_v01 import Expression_v01, ExpressionContext_v01
self.expression = Expression_v01(self.cfg.expr, self.nidx)
if self.cfg.verbose:
print(self.expression.expressions)
self.expression.parse()
self.expression.guessname(self.cfg.lib, save=True)
if self.cfg.verbose > 1:
self.expression.tree.dump(True)
self.expr_context = ExpressionContext_v01(self.cfg.bundles,
ns=self.namespace,
inputs=self.context.inputs,
outputs=self.context.outputs)
self.expression.build(self.expr_context)
def build(self):
# Initialize the expression and indices
l = list(chain.from_iterable(self.formula.values()))
self.expression = Expression_v01(l, self.nidx)
# Dump the information
if self.opts.verbose:
print(self.expression.expressions_raw)
print(self.expression.expressions)
# Parse the expression
self.expression.parse()
# The next step is needed to name all the intermediate variables.
lib = self.libs
self.expression.guessname(lib, save=True)
if self.opts.verbose and self.opts.verbose > 1:
print('Expression tree:')
self.expression.tree.dump(True)
print()
# Put the expression into context
self.context = ExpressionContext_v01(self.cfg, ns=self.namespace)
self.expression.build(self.context)
self.correlate_escale_and_eff()
if self.opts.verbose and self.opts.verbose > 1:
width = 40
print('Outputs:')
print(self.context.outputs.__str__(nested=True, width=width))
print()
print('Inputs:')
print(self.context.inputs.__str__(nested=True, width=width))
print()
if self.opts.verbose or self.opts.stats:
print('Parameters:')
self.stats = dict()
self.namespace.printparameters(labels=True, stats=self.stats)
def test_reactor_spectrum_unc_v01(tmp_path):
_enu = np.linspace(1.8, 10.0, 500, dtype='d')
Enu = C.Points(_enu, labels='anue energy')
indices = [('i', 'isotope', ['U235', 'U238', 'Pu239', 'Pu241']),
('r', 'reactor', ['DB1', 'LA1'])]
expr = ['anuspec[i](enu())', 'offeq_correction[i,r]| enu(), anuspec[i]()']
expr.append("corrected_spectrum[i,r]|enu(), anuspec[i]()")
a = Expression_v01(expr, indices=NIndex.fromlist(indices))
a.parse()
print(a.expressions)
lib = dict()
a.guessname(lib, save=True)
ns_anuexpr = env.globalns('anue_expr')
cfg = NestedDict(
anuspec=NestedDict(
bundle=dict(name='reactor_anu_spectra', version='v04'),
name='anuspec',
filename=[
'data/reactor_anu_spectra/Huber/Huber_smooth_extrap_{isotope}_13MeV0.01MeVbin.dat',
'data/reactor_anu_spectra/Mueller/Mueller_smooth_extrap_{isotope}_13MeV0.01MeVbin.dat'
],
varmode='log',
varname='anu_weight_{index}',
free_params=True,
ns_name='spectral_weights',
edges=np.concatenate((np.arange(1.8, 8.7, 0.5), [12.3])),
),
enu=NestedDict(
bundle=NestedDict(name='predefined', version='v01', major=''),
name='enu',
inputs=None,
outputs=Enu.single(),
),
corrected_spectrum=NestedDict(
bundle=dict(name='huber_mueller_spectra_uncertainty',
version='v01',
major='ir'),
reac_idx='r',
iso_idx='i',
ns_name='hm_uncertainties',
files_corr=[
'output/anue_spectra/Huber_corrrelated_unc_extrap_{isotope}_13.0_0.05_MeV.txt',
'output/anue_spectra/Mueller_corrrelated_unc_extrap_{isotope}_13.0_0.05_MeV.txt'
],
files_uncorr=[
'output/anue_spectra/Huber_uncorrrelated_unc_extrap_{isotope}_13.0_0.05_MeV.txt',
'output/anue_spectra/Mueller_uncorrrelated_unc_extrap_{isotope}_13.0_0.05_MeV.txt'
],
),
offeq_correction=NestedDict(
bundle=dict(name='reactor_offeq_spectra',
version='v04',
major='ir'),
offeq_data=
'./data/reactor_anu_spectra/Mueller/offeq/mueller_offequilibrium_corr_{isotope}.dat',
),
)
context = ExpressionContext_v01(cfg, ns=ns_anuexpr)
a.build(context)
ns_anuexpr.printparameters(labels=True)
u235_spec = context.outputs.corrected_spectrum.U235.DB1
suffix = 'hm_uncertainty_corrected_spec'
# savefig(path.replace('.png','.pdf'), dpi=300)
path = os.path.join(str(tmp_path), suffix + '_graph.png')
savegraph(u235_spec, path)
allure_attach_file(path)
path = os.path.join(str(tmp_path), suffix + '_graph.pdf')
savegraph(u235_spec, path)
allure_attach_file(path)
def test_offeq_correction_expression(tmp_path):
"""Tests for new version of offequilibrium correction with snapshoting
initial spectrum"""
_enu = np.linspace(1., 8.0, 500, dtype='d')
Enu = C.Points(_enu, labels='anue energy')
indices = [('i', 'isotope', ['U235', 'U238', 'Pu239', 'Pu241']),
('r', 'reactor', ['DB1', 'DB2', 'LA1', 'LA2', 'LA3', 'LA4'])]
expr = [
'enu()', 'anuspec[i](enu())',
'offeq_correction[i,r]| enu(), anuspec[i]()'
]
a = Expression_v01(expr, indices=NIndex.fromlist(indices))
a.parse()
lib = dict()
a.guessname(lib, save=True)
ns_offeq = env.globalns('offeq_expr_v04')
cfg = NestedDict(
offeq_correction=NestedDict(
bundle=dict(name='reactor_offeq_spectra',
version='v04',
major='ir'),
offeq_data=
'./data/reactor_anu_spectra/Mueller/offeq/mueller_offequilibrium_corr_{isotope}.dat',
),
enu=NestedDict(
bundle=NestedDict(name='predefined', version='v01', major=''),
name='enu',
inputs=None,
outputs=Enu.single(),
),
anuspec=NestedDict(
bundle=dict(name='reactor_anu_spectra', version='v04'),
name='anuspec',
filename=[
'data/reactor_anu_spectra/Huber/Huber_smooth_extrap_{isotope}_13MeV0.01MeVbin.dat',
'data/reactor_anu_spectra/Mueller/Mueller_smooth_extrap_{isotope}_13MeV0.01MeVbin.dat'
],
varmode='log',
varname='anu_weight_{index}',
free_params=True,
ns_name='spectral_weights',
edges=np.concatenate((np.arange(1.8, 8.7, 0.5), [12.3])),
),
)
context = ExpressionContext_v01(cfg, ns=ns_offeq)
a.build(context)
ns_offeq.printparameters(labels=True)
fig, ax = plt.subplots()
for iso in indices[0][2]:
corrected_spectra = context.outputs.offeq_correction[iso]['DB1'].data()
initial_spectra = context.outputs.anuspec[iso].data()
ax.plot(Enu.single().data(),
(corrected_spectra - initial_spectra) / initial_spectra,
label=iso)
ax.set_title("Offequilibrium corrected spectra")
ax.legend(loc='best')
ax.grid()
ax.set_xlabel("Antineutrino energy, MeV")
ax.set_ylabel("(Corrected - nominal) / nominal")
suffix = 'offeq'
path = os.path.join(str(tmp_path), suffix + '.png')
savefig(path.replace('.png', '.pdf'), dpi=300)
allure_attach_file(path)
path = os.path.join(str(tmp_path), suffix + '_graph.png')
savegraph(context.outputs.offeq_correction['U235']['DB1'], path)
allure_attach_file(path)
args = parser.parse_args()
indices = [('k', 'kin', ['a', 'b', 'c'])]
lib = dict(scaled_e=dict(expr='weight*evis'), )
expr = 'integral[k]'
a = Expression_v01(expr, indices)
print(a.expressions_raw)
print(a.expressions)
a.parse()
a.guessname(lib, save=True)
a.tree.dump(True)
print()
cfg = NestedDict(kinint=NestedDict(bundle=dict(name='integral_1d_v02'),
variable='evis',
edges=N.linspace(0.0, 12.0, 241, dtype='d'),
orders=3,
labels=dict(
sampler='GL Sampler',
integrator='Integrator {autoindex}')), )
context = ExpressionContext_v01(cfg, ns=env.globalns)
a.build(context)
for fname in args.dot:
from gna.graphviz import savegraph
savegraph([context.outputs.evis] + list(context.outputs.integral.values()),
fname)
