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# Copyright (c) 2019-2025, Saransh Chopra, Henry Schreiner, Eduardo Rodrigues, Jonas Eschle, and Jim Pivarski.
#
# Distributed under the 3-clause BSD license, see accompanying file LICENSE
# or https://github.com/scikit-hep/vector for details.
from __future__ import annotations
import numpy
import pytest
import vector._methods
import vector.backends.numpy
import vector.backends.object
def test_spatial_object():
vec = vector.backends.object.VectorObject3D(
azimuthal=vector.backends.object.AzimuthalObjectXY(0.1, 0.2),
longitudinal=vector.backends.object.LongitudinalObjectZ(0.3),
)
out = vec.rotateY(0.25)
assert isinstance(out.azimuthal, vector._methods.AzimuthalXY)
assert isinstance(out.longitudinal, vector._methods.LongitudinalZ)
assert out.x == pytest.approx(0.17111242994742137)
assert out.y == pytest.approx(0.2)
assert out.z == pytest.approx(0.2659333305877411)
for t in "xyz", "xytheta", "xyeta", "rhophiz", "rhophitheta", "rhophieta":
out = getattr(vec, "to_" + t)().rotateY(0.25)
assert isinstance(out.azimuthal, vector._methods.AzimuthalXY)
assert isinstance(out.longitudinal, vector._methods.LongitudinalZ)
assert out.x == pytest.approx(0.17111242994742137)
assert out.y == pytest.approx(0.2)
assert out.z == pytest.approx(0.2659333305877411)
def test_spatial_numpy():
vec = vector.backends.numpy.VectorNumpy3D(
[(0.1, 0.2, 0.3)],
dtype=[("x", numpy.float64), ("y", numpy.float64), ("z", numpy.float64)],
)
out = vec.rotateY(0.25)
assert isinstance(out.azimuthal, vector._methods.AzimuthalXY)
assert isinstance(out.longitudinal, vector._methods.LongitudinalZ)
assert out[0].x == pytest.approx(0.17111242994742137)
assert out[0].y == pytest.approx(0.2)
assert out[0].z == pytest.approx(0.2659333305877411)
for t in "xyz", "xytheta", "xyeta", "rhophiz", "rhophitheta", "rhophieta":
out = getattr(vec, "to_" + t)().rotateY(0.25)
assert isinstance(out.azimuthal, vector._methods.AzimuthalXY)
assert isinstance(out.longitudinal, vector._methods.LongitudinalZ)
assert out[0].x == pytest.approx(0.17111242994742137)
assert out[0].y == pytest.approx(0.2)
assert out[0].z == pytest.approx(0.2659333305877411)
def test_lorentz_object():
vec = vector.backends.object.VectorObject4D(
azimuthal=vector.backends.object.AzimuthalObjectXY(0.1, 0.2),
longitudinal=vector.backends.object.LongitudinalObjectZ(0.3),
temporal=vector.backends.object.TemporalObjectT(99),
)
out = vec.rotateY(0.25)
assert isinstance(out.azimuthal, vector._methods.AzimuthalXY)
assert isinstance(out.longitudinal, vector._methods.LongitudinalZ)
assert hasattr(out, "temporal")
assert out.x == pytest.approx(0.17111242994742137)
assert out.y == pytest.approx(0.2)
assert out.z == pytest.approx(0.2659333305877411)
for t in (
"xyzt",
"xythetat",
"xyetat",
"rhophizt",
"rhophithetat",
"rhophietat",
"xyztau",
"xythetatau",
"xyetatau",
"rhophiztau",
"rhophithetatau",
"rhophietatau",
):
out = getattr(vec, "to_" + t)().rotateY(0.25)
assert isinstance(out.azimuthal, vector._methods.AzimuthalXY)
assert isinstance(out.longitudinal, vector._methods.LongitudinalZ)
assert hasattr(out, "temporal")
assert out.x == pytest.approx(0.17111242994742137)
assert out.y == pytest.approx(0.2)
assert out.z == pytest.approx(0.2659333305877411)
def test_lorentz_numpy():
vec = vector.backends.numpy.VectorNumpy4D(
[(0.1, 0.2, 0.3, 99)],
dtype=[
("x", numpy.float64),
("y", numpy.float64),
("z", numpy.float64),
("t", numpy.float64),
],
)
out = vec.rotateY(0.25)
assert isinstance(out.azimuthal, vector._methods.AzimuthalXY)
assert isinstance(out.longitudinal, vector._methods.LongitudinalZ)
assert out[0].x == pytest.approx(0.17111242994742137)
assert out[0].y == pytest.approx(0.2)
assert out[0].z == pytest.approx(0.2659333305877411)
for t in (
"xyzt",
"xythetat",
"xyetat",
"rhophizt",
"rhophithetat",
"rhophietat",
"xyztau",
"xythetatau",
"xyetatau",
"rhophiztau",
"rhophithetatau",
"rhophietatau",
):
out = getattr(vec, "to_" + t)().rotateY(0.25)
assert isinstance(out.azimuthal, vector._methods.AzimuthalXY)
assert isinstance(out.longitudinal, vector._methods.LongitudinalZ)
assert out[0].x == pytest.approx(0.17111242994742137)
assert out[0].y == pytest.approx(0.2)
assert out[0].z == pytest.approx(0.2659333305877411)
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