def test_source_component_arbitrary_grid_int():
from sherpa.astro.ui.utils import Session
from sherpa.models import Const1D
from sherpa.data import Data1DInt
ui = Session()
x = numpy.array([1, 2, 3]), numpy.array([2, 3, 4])
y = [1.5, 2.5, 3.5]
re_x = numpy.array([10, 20, 30]), numpy.array([20, 30, 40])
ui.load_arrays(1, x[0], x[1], y, Data1DInt)
model = Const1D('c')
model.c0 = 10
regrid_model = model.regrid(*re_x)
with pytest.warns(UserWarning):
ui.plot_source_component(regrid_model)
x_points = (x[0] + x[1])/2
re_x_points = (re_x[0] + re_x[1])/2
points = numpy.concatenate((x_points, re_x_points))
numpy.testing.assert_array_equal(ui._compsrcplot.x, points)
numpy.testing.assert_array_equal(ui._compsrcplot.y, [10, 10, 10, 100, 100, 100])
def test_source_component_arbitrary_grid_int():
from sherpa.astro.ui.utils import Session
from sherpa.models import Const1D
from sherpa.data import Data1DInt
ui = Session()
x = numpy.array([1, 2, 3]), numpy.array([2, 3, 4])
y = [1.5, 2.5, 3.5]
re_x = numpy.array([10, 20, 30]), numpy.array([20, 30, 40])
ui.load_arrays(1, x[0], x[1], y, Data1DInt)
model = Const1D('c')
model.c0 = 10
regrid_model = model.regrid(*re_x)
with pytest.warns(UserWarning):
ui.plot_source_component(regrid_model)
x_points = (x[0] + x[1]) / 2
re_x_points = (re_x[0] + re_x[1]) / 2
points = numpy.concatenate((x_points, re_x_points))
numpy.testing.assert_array_equal(ui._compsrcplot.x, points)
numpy.testing.assert_array_equal(ui._compsrcplot.y,
[10, 10, 10, 100, 100, 100])
def test_source_component_arbitrary_grid_int():
ui = Session()
x = numpy.array([1, 2, 3]), numpy.array([2, 3, 4])
y = [1.5, 2.5, 3.5]
re_x = numpy.array([10, 20, 30]), numpy.array([20, 30, 40])
ui.load_arrays(1, x[0], x[1], y, Data1DInt)
model = Const1D('c')
model.c0 = 10
regrid_model = model.regrid(*re_x)
ui.plot_source_component(regrid_model)
x_points = (x[0] + x[1]) / 2.0
numpy.testing.assert_array_equal(ui._compsrcplot.x, x_points)
numpy.testing.assert_array_equal(ui._compsrcplot.y, [0., 0., 0.])
def test_source_component_arbitrary_grid():
ui = Session()
x = [1, 2, 3]
y = [1, 2, 3]
re_x = [10, 20, 30]
ui.load_arrays(1, x, y)
model = Const1D('c')
model.c0 = 10
regrid_model = model.regrid(re_x)
with pytest.warns(UserWarning):
ui.plot_source_component(regrid_model)
numpy.testing.assert_array_equal(ui._compsrcplot.x, x + re_x)
numpy.testing.assert_array_equal(ui._compsrcplot.y, [
10,
] * 6)
def test_source_component_arbitrary_grid():
from sherpa.astro.ui.utils import Session
from sherpa.models import Const1D
ui = Session()
x = [1, 2, 3]
y = [1, 2, 3]
re_x = [10, 20, 30]
ui.load_arrays(1, x, y)
model = Const1D('c')
model.c0 = 10
regrid_model = model.regrid(re_x)
with pytest.warns(UserWarning):
ui.plot_source_component(regrid_model)
numpy.testing.assert_array_equal(ui._compsrcplot.x, x + re_x)
numpy.testing.assert_array_equal(ui._compsrcplot.y, [10, ]*6)
