def test_bareme(x_axis="sali"):
"""
Use to test and debug bareme mode test-case
"""
yr = 2012
# Changes in individualized characteristics
# salaires: sali
# retraites: choi
# intérêts: f2ee intpfl; f2tr intb
# dividendes: f2da divplf; f2dc divb
# foncier f4ba fon (micro foncier f4be)
maxrev = 500000
year = 2012
simulation = ScenarioSimulation()
# Changes in individualized caracteristics
# salaires: sali
# retraites: choi
# intérêts: f2ee intpfl; f2tr intb
# dividendes: f2da divplf; f2dc divb
# foncier f4ba fon (micro foncier f4be)
simulation.set_config(year = yr, nmen = 101, x_axis = x_axis, maxrev=maxrev,
reforme = False, mode ='bareme', decomp_file="decomp_contrib.xml")
simulation.set_param()
# Hack to get rid of missing parameters in 2012
if yr == 2012:
complete_2012_param(simulation.P)
test_case = simulation.scenario
if SHOW_OPENFISCA:
app = QApplication(sys.argv)
win = ApplicationWindow()
ax = win.mplwidget.axes
title ="Barème openfisca"
ax.set_title(title)
graph_x_axis = simulation.get_varying_revenues(x_axis)
draw_simulation_bareme(simulation, ax, graph_x_axis = graph_x_axis, legend = True, position = 4)
win.resize(1400,700)
win.mplwidget.draw()
win.show()
if EXPORT:
win.mplwidget.print_figure(DESTINATION_DIR + title + '.png')
if ax:
del ax
del simulation
sys.exit(app.exec_())
def test_case(year):
"""
Use to test individual test-case for debugging
"""
app = QApplication(sys.argv)
win = ApplicationWindow()
yr = year
simulation = ScenarioSimulation()
simulation.set_config(year=yr,
nmen=1,
reforme=False,
mode='castype',
decomp_file="decomp_contrib.xml")
simulation.set_param()
# Hack to get rid of missing parameters in 2012
if yr == 2012:
complete_2012_param(simulation.P)
test_case = simulation.scenario
# Changes in individualized caracteristics
#TRAITEMENTS, SALAIRES, PPE, PENSIONS ET RENTES
# salaires (case 1AJ)
test_case.indiv[0].update({"sali": 0})
# préretraites, chômage (case 1AP)
test_case.indiv[0].update({"choi": 0})
# pensions (case 1AS)
test_case.indiv[0].update({"rsti": 0})
# Changes in non-individualized items of the declaration
# REVENUS DES VALEURS ET CAPITAUX MOBILIERS
# intérêts
# f2ee intpfl (pdts de placement soumis aux prélèvements obligatoires autres que 2DA et 2DH
# f2tr intb (intérêts et autres revenus assimilés)
test_case.declar[0].update({"f2ts": 0})
test_case.declar[0].update({"f2tr": 0})
# dividendes
# f2da divplf (revenus des actions et parts soumis au prélèvement libératoire à 21 %
# f2dc divb (revenus des actions et parts ouvrant droit à abattement)
test_case.declar[0].update({"f2da": 0})
test_case.declar[0].update({"f2dh": 0})
test_case.declar[0].update({"f2dc": 0})
# REVENUS FONCIERS
# foncier f4ba (micro foncier f4be)
test_case.declar[0].update({"f4ba": 0})
#PLUS-VALUES DE CESSION DE VALEURS MOBILIERES, DROITS SOCIAUX ET GAINS ASSIMILéS
# plus-values TODO: F3VG
test_case.declar[0].update({"f3vg": 1000000})
test_case.declar[0].update({"f3vz": 0})
df = simulation.get_results_dataframe(index_by_code=True)
rev_cols = [
"salsuperbrut", "chobrut", "rstbrut", "fon", "rev_cap_bar",
"rev_cap_lib"
]
prelev_cols = [
"cotpat_noncontrib", "cotsal_noncontrib", "csgsald", "csgsali",
"crdssal", "cotpat_noncontrib", "cotsal_noncontrib", "csgsald",
"csgsali", "crdssal", "csgchod", "csgchoi", "crdscho", "csgrstd",
"csgrsti", "crdsrst", "prelsoc_cap_bar", "prelsoc_cap_lib",
"csg_cap_bar", "csg_cap_lib", "crds_cap_bar", "crds_cap_lib",
"imp_lib", "ppe", "irpp"
]
rev_df = df.loc[rev_cols]
rev = rev_df.sum(axis=0)
prelev_df = df.loc[prelev_cols]
prelev = prelev_df.sum(axis=0)
print -prelev / rev
print rev
# print prelev_df, rev, -prelev
ax = win.mplwidget.axes
if SHOW_OPENFISCA:
title = "Mon titre"
ax.set_title(title)
draw_simulation_waterfall(simulation, ax)
win.resize(1400, 700)
win.mplwidget.draw()
win.show()
sys.exit(app.exec_())
if EXPORT:
win.mplwidget.print_figure(DESTINATION_DIR + title + '.png')
del ax, simulation
def test_bareme(x_axis="sali"):
"""
Use to test and debug bareme mode test-case
"""
yr = 2012
# Changes in individualized characteristics
# salaires: sali
# retraites: choi
# intérêts: f2ee intpfl; f2tr intb
# dividendes: f2da divplf; f2dc divb
# foncier f4ba fon (micro foncier f4be)
maxrev = 500000
year = 2012
simulation = ScenarioSimulation()
# Changes in individualized caracteristics
# salaires: sali
# retraites: choi
# intérêts: f2ee intpfl; f2tr intb
# dividendes: f2da divplf; f2dc divb
# foncier f4ba fon (micro foncier f4be)
simulation.set_config(year=yr,
nmen=101,
x_axis=x_axis,
maxrev=maxrev,
reforme=False,
mode='bareme',
decomp_file="decomp_contrib.xml")
simulation.set_param()
# Hack to get rid of missing parameters in 2012
if yr == 2012:
complete_2012_param(simulation.P)
test_case = simulation.scenario
if SHOW_OPENFISCA:
app = QApplication(sys.argv)
win = ApplicationWindow()
ax = win.mplwidget.axes
title = "Barème openfisca"
ax.set_title(title)
graph_x_axis = simulation.get_varying_revenues(x_axis)
draw_simulation_bareme(simulation,
ax,
graph_x_axis=graph_x_axis,
legend=True,
position=4)
win.resize(1400, 700)
win.mplwidget.draw()
win.show()
if EXPORT:
win.mplwidget.print_figure(DESTINATION_DIR + title + '.png')
if ax:
del ax
del simulation
sys.exit(app.exec_())
reforme=False,
mode='bareme',
same_rev_couple=True)
simu.set_param()
simu.scenario.addIndiv(1, datetime(1975, 1, 1).date(), 'conj', 'part')
if marginal is True:
for i in range(1, n_enf_final):
print 'adding %s kid(s)' % i
simu.scenario.addIndiv(1 + i,
datetime(2000, 1, 1).date(), 'pac',
'enf')
simu.set_marginal_alternative_scenario()
for i in range(1, n_enf_final + 1):
if (marginal is False) or (i == n_enf_final):
print 'adding %s kid(s)' % i
simu.alternative_scenario.addIndiv(1 + i,
datetime(2000, 1, 1).date(),
'pac', 'enf')
ax.set_title(title)
draw_simulation_bareme(simu, ax, legend=True, position=4)
win.resize(1400, 700)
win.mplwidget.draw()
win.show()
win.mplwidget.print_figure(destination_dir + title + '.png')
del ax, simu
sys.exit(app.exec_())
def test_case(year):
"""
Use to test individual test-case for debugging
"""
app = QApplication(sys.argv)
win = ApplicationWindow()
yr = year
simulation = ScenarioSimulation()
simulation.set_config(year = yr, nmen = 1, reforme = False, mode ='castype', decomp_file="decomp_contrib.xml")
simulation.set_param()
# Hack to get rid of missing parameters in 2012
if yr == 2012:
complete_2012_param(simulation.P)
test_case = simulation.scenario
# Changes in individualized caracteristics
#TRAITEMENTS, SALAIRES, PPE, PENSIONS ET RENTES
# salaires (case 1AJ)
test_case.indiv[0].update({"sali":0})
# préretraites, chômage (case 1AP)
test_case.indiv[0].update({"choi":0})
# pensions (case 1AS)
test_case.indiv[0].update({"rsti":0})
# Changes in non-individualized items of the declaration
# REVENUS DES VALEURS ET CAPITAUX MOBILIERS
# intérêts
# f2ee intpfl (pdts de placement soumis aux prélèvements obligatoires autres que 2DA et 2DH
# f2tr intb (intérêts et autres revenus assimilés)
test_case.declar[0].update({"f2ts":0})
test_case.declar[0].update({"f2tr":0})
# dividendes
# f2da divplf (revenus des actions et parts soumis au prélèvement libératoire à 21 %
# f2dc divb (revenus des actions et parts ouvrant droit à abattement)
test_case.declar[0].update({"f2da":0})
test_case.declar[0].update({"f2dh":0})
test_case.declar[0].update({"f2dc":0})
# REVENUS FONCIERS
# foncier f4ba (micro foncier f4be)
test_case.declar[0].update({"f4ba":0})
#PLUS-VALUES DE CESSION DE VALEURS MOBILIERES, DROITS SOCIAUX ET GAINS ASSIMILéS
# plus-values TODO: F3VG
test_case.declar[0].update({"f3vg":1000000})
test_case.declar[0].update({"f3vz":0})
df = simulation.get_results_dataframe(index_by_code=True)
rev_cols = ["salsuperbrut", "chobrut", "rstbrut", "fon", "rev_cap_bar", "rev_cap_lib"]
prelev_cols = ["cotpat_noncontrib", "cotsal_noncontrib", "csgsald", "csgsali", "crdssal", "cotpat_noncontrib",
"cotsal_noncontrib", "csgsald", "csgsali", "crdssal",
"csgchod", "csgchoi", "crdscho",
"csgrstd", "csgrsti", "crdsrst",
"prelsoc_cap_bar", "prelsoc_cap_lib", "csg_cap_bar", "csg_cap_lib",
"crds_cap_bar", "crds_cap_lib", "imp_lib", "ppe", "irpp" ]
rev_df = df.loc[rev_cols]
rev = rev_df.sum(axis=0)
prelev_df = df.loc[prelev_cols]
prelev = prelev_df.sum(axis=0)
print -prelev/rev
print rev
# print prelev_df, rev, -prelev
ax = win.mplwidget.axes
if SHOW_OPENFISCA:
title ="Mon titre"
ax.set_title(title)
draw_simulation_waterfall(simulation, ax)
win.resize(1400,700)
win.mplwidget.draw()
win.show()
sys.exit(app.exec_())
if EXPORT:
win.mplwidget.print_figure(DESTINATION_DIR + title + '.png')
del ax, simulation
win = ApplicationWindow()
ax = win.mplwidget.axes
year = 2011
simulation = ScenarioSimulation()
simulation.set_config(year = year, nmen = 101,
x_axis = 'sali', maxrev = 50000,
mode ='bareme', same_rev_couple = False)
simulation.set_param()
# draw_simulation_bareme(simulation, ax, legend = True, position = 4)
draw_simulation_taux(simulation, ax, legend=True)
win.resize(1400,700)
if SHOW:
win.mplwidget.draw()
win.show()
df = simulation.get_results_dataframe()
print df.to_string()
title = "test"
if SAVE:
win.mplwidget.print_figure(os.path.join(destination_dir, title + '.png'))
del ax, simulation
sys.exit(app.exec_())
