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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 math
import numpy
import pytest
import vector.backends.numpy
import vector.backends.object
def test_spatial_object():
v1 = vector.backends.object.VectorObject3D(
azimuthal=vector.backends.object.AzimuthalObjectXY(0.1, 0.2),
longitudinal=vector.backends.object.LongitudinalObjectZ(0.3),
)
v2 = vector.backends.object.VectorObject3D(
azimuthal=vector.backends.object.AzimuthalObjectXY(0.4, 0.5),
longitudinal=vector.backends.object.LongitudinalObjectZ(0.6),
)
assert v1.deltaR(v2) == pytest.approx(math.sqrt(0.116083865330319))
for t1 in "xyz", "xytheta", "xyeta", "rhophiz", "rhophitheta", "rhophieta":
for t2 in "xyz", "xytheta", "xyeta", "rhophiz", "rhophitheta", "rhophieta":
transformed1, transformed2 = (
getattr(v1, "to_" + t1)(),
getattr(v2, "to_" + t2)(),
)
assert transformed1.deltaR(transformed2) == pytest.approx(
math.sqrt(0.116083865330319)
)
def test_spatial_numpy():
v1 = vector.backends.numpy.VectorNumpy3D(
[(0.1, 0.2, 0.3)],
dtype=[("x", numpy.float64), ("y", numpy.float64), ("z", numpy.float64)],
)
v2 = vector.backends.numpy.VectorNumpy3D(
[(0.4, 0.5, 0.6)],
dtype=[("x", numpy.float64), ("y", numpy.float64), ("z", numpy.float64)],
)
assert v1.deltaR(v2)[0] == pytest.approx(math.sqrt(0.116083865330319))
for t1 in "xyz", "xytheta", "xyeta", "rhophiz", "rhophitheta", "rhophieta":
for t2 in "xyz", "xytheta", "xyeta", "rhophiz", "rhophitheta", "rhophieta":
tr1, tr2 = (
getattr(v1, "to_" + t1)(),
getattr(v2, "to_" + t2)(),
)
assert tr1.deltaR(tr2)[0] == pytest.approx(math.sqrt(0.116083865330319))
def test_lorentz_object():
v1 = 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),
)
v2 = vector.backends.object.VectorObject4D(
azimuthal=vector.backends.object.AzimuthalObjectXY(0.4, 0.5),
longitudinal=vector.backends.object.LongitudinalObjectZ(0.6),
temporal=vector.backends.object.TemporalObjectT(99),
)
assert v1.deltaR(v2) == pytest.approx(math.sqrt(0.116083865330319))
for t1 in (
"xyzt",
"xythetat",
"xyetat",
"rhophizt",
"rhophithetat",
"rhophietat",
"xyztau",
"xythetatau",
"xyetatau",
"rhophiztau",
"rhophithetatau",
"rhophietatau",
):
for t2 in (
"xyzt",
"xythetat",
"xyetat",
"rhophizt",
"rhophithetat",
"rhophietat",
"xyztau",
"xythetatau",
"xyetatau",
"rhophiztau",
"rhophithetatau",
"rhophietatau",
):
tr1, tr2 = getattr(v1, "to_" + t1)(), getattr(v2, "to_" + t2)()
assert tr1.deltaR(tr2) == pytest.approx(math.sqrt(0.116083865330319))
def test_lorentz_numpy():
v1 = vector.backends.numpy.VectorNumpy4D(
[(0.1, 0.2, 0.3, 99)],
dtype=[
("x", numpy.float64),
("y", numpy.float64),
("z", numpy.float64),
("t", numpy.float64),
],
)
v2 = vector.backends.numpy.VectorNumpy4D(
[(0.4, 0.5, 0.6, 99)],
dtype=[
("x", numpy.float64),
("y", numpy.float64),
("z", numpy.float64),
("t", numpy.float64),
],
)
assert v1.deltaR(v2) == pytest.approx(math.sqrt(0.116083865330319))
for t1 in (
"xyzt",
"xythetat",
"xyetat",
"rhophizt",
"rhophithetat",
"rhophietat",
"xyztau",
"xythetatau",
"xyetatau",
"rhophiztau",
"rhophithetatau",
"rhophietatau",
):
for t2 in (
"xyzt",
"xythetat",
"xyetat",
"rhophizt",
"rhophithetat",
"rhophietat",
"xyztau",
"xythetatau",
"xyetatau",
"rhophiztau",
"rhophithetatau",
"rhophietatau",
):
tr1, tr2 = getattr(v1, "to_" + t1)(), getattr(v2, "to_" + t2)()
assert tr1.deltaR(tr2) == pytest.approx(math.sqrt(0.116083865330319))
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