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# Copyright (c) 2019, 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 os
import pickle
import numpy as np
import pytest
import vector
def test_issue_99():
ak = pytest.importorskip("awkward")
vector.register_awkward()
vec = ak.Array([{"x": 1.0, "y": 2.0, "z": 3.0}], with_name="Vector3D")
assert vec.to_xyz().tolist() == [{"x": 1.0, "y": 2.0, "z": 3.0}]
assert vec[0].to_xyz().tolist() == {"x": 1.0, "y": 2.0, "z": 3.0}
assert vec[0].to_rhophiz().tolist() == {
"rho": 2.23606797749979,
"phi": 1.1071487177940904,
"z": 3.0,
}
def test_issue_161():
ak = pytest.importorskip("awkward")
nb = pytest.importorskip("numba")
vector.register_awkward()
@nb.njit
def repro(generator_like_jet_constituents):
for sublist in generator_like_jet_constituents:
s = 0
for generator_like_constituent in sublist:
s += generator_like_constituent.pt
file_path = os.path.join("tests", "samples", "issue-161-v2.pkl")
with open(file_path, "rb") as f:
a = ak.from_buffers(*pickle.load(f))
repro(generator_like_jet_constituents=a.constituents)
def test_issue_443():
ak = pytest.importorskip("awkward")
vector.register_awkward()
assert vector.array({"E": [1], "px": [1], "py": [1], "pz": [1]}) ** 2 == np.array(
[-2.0]
)
assert ak.zip(
{"E": [1], "px": [1], "py": [1], "pz": [1]}, with_name="Momentum4D"
) ** 2 == ak.Array([-2])
assert vector.obj(E=1, px=1, py=1, pz=1) ** 2 == -2
def test_issue_194():
vec2d = vector.VectorNumpy2D(
{
"x": [1.1, 1.2, 1.3, 1.4, 1.5],
"y": [2.1, 2.2, 2.3, 2.4, 2.5],
}
)
az1 = vector.backends.numpy.AzimuthalNumpyXY(
[(1.1, 2.1), (1.2, 2.2), (1.3, 2.3), (1.4, 2.4), (1.5, 2.5)],
dtype=[("x", float), ("y", float)],
)
az2 = vector.backends.numpy.AzimuthalNumpyXY(
[(1.1, 3.1), (1.2, 2.2), (1.3, 2.3), (1.4, 2.4), (1.5, 2.5)],
dtype=[("x", float), ("y", float)],
)
azp1 = vector.backends.numpy.AzimuthalNumpyRhoPhi(
[(1.1, 2.1), (1.2, 2.2), (1.3, 2.3), (1.4, 2.4), (1.5, 2.5)],
dtype=[("rho", float), ("phi", float)],
)
azp2 = vector.backends.numpy.AzimuthalNumpyRhoPhi(
[(2.1, 2.1), (1.2, 2.2), (1.3, 2.3), (1.4, 2.4), (1.5, 2.5)],
dtype=[("rho", float), ("phi", float)],
)
assert vec2d.azimuthal == az1
assert vec2d.azimuthal != az2
assert vec2d.azimuthal != azp1
assert az1 != az2
assert not az1 == azp1 # noqa: SIM201
assert not azp1 == az1 # noqa: SIM201
assert azp1 != az1
assert azp1 == azp1 # noqa: PLR0124
assert azp1 != azp2
vec3d = vector.VectorNumpy3D(
{
"x": [1.1, 1.2, 1.3, 1.4, 1.5],
"y": [2.1, 2.2, 2.3, 2.4, 2.5],
"z": [3.1, 3.2, 3.3, 3.4, 3.5],
}
)
lg1 = vector.backends.numpy.LongitudinalNumpyZ(
[(3.1,), (3.2,), (3.3,), (3.4,), (3.5,)], dtype=[("z", float)]
)
lg2 = vector.backends.numpy.LongitudinalNumpyZ(
[(4.1,), (3.2,), (3.3,), (3.4,), (3.5,)], dtype=[("z", float)]
)
lgeta1 = vector.backends.numpy.LongitudinalNumpyEta(
[(3.1,), (3.2,), (3.3,), (3.4,), (3.5,)], dtype=[("eta", float)]
)
lgeta2 = vector.backends.numpy.LongitudinalNumpyEta(
[(4.1,), (3.2,), (3.3,), (3.4,), (3.5,)], dtype=[("eta", float)]
)
lgtheta1 = vector.backends.numpy.LongitudinalNumpyTheta(
[(3.1,), (3.2,), (3.3,), (3.4,), (3.5,)], dtype=[("theta", float)]
)
lgtheta2 = vector.backends.numpy.LongitudinalNumpyTheta(
[(4.1,), (3.2,), (3.3,), (3.4,), (3.5,)], dtype=[("theta", float)]
)
assert vec3d.azimuthal == az1
assert vec3d.longitudinal == lg1
assert vec3d.longitudinal != lg2
assert vec3d.longitudinal != lgeta1
assert lg1 != lg2
assert not lg1 == lgeta1 # noqa: SIM201
assert not lgeta1 == lg1 # noqa: SIM201
assert lgeta1 != lg1
assert lgeta1 == lgeta1 # noqa: PLR0124
assert lgeta1 != lgeta2
assert lgtheta1 == lgtheta1 # noqa: PLR0124
assert lgtheta1 != lgtheta2
assert lgtheta1 != lgeta1
assert not lgtheta1 == lgeta1 # noqa: SIM201
vec4d = vector.VectorNumpy4D(
{
"x": [1.1, 1.2, 1.3, 1.4, 1.5],
"y": [2.1, 2.2, 2.3, 2.4, 2.5],
"z": [3.1, 3.2, 3.3, 3.4, 3.5],
"t": [4.1, 4.2, 4.3, 4.4, 4.5],
}
)
tm1 = vector.backends.numpy.TemporalNumpyT(
[(4.1,), (4.2,), (4.3,), (4.4,), (4.5,)], dtype=[("t", float)]
)
tm2 = vector.backends.numpy.TemporalNumpyT(
[(5.1,), (4.2,), (4.3,), (4.4,), (4.5,)], dtype=[("t", float)]
)
tmtau1 = vector.backends.numpy.TemporalNumpyTau(
[(4.1,), (4.2,), (4.3,), (4.4,), (4.5,)], dtype=[("tau", float)]
)
tmtau2 = vector.backends.numpy.TemporalNumpyTau(
[(5.1,), (4.2,), (4.3,), (4.4,), (4.5,)], dtype=[("tau", float)]
)
assert vec4d.azimuthal == az1
assert vec4d.longitudinal == lg1
assert vec4d.temporal == tm1
assert vec4d.temporal != tm2
assert vec4d.temporal != tmtau1
assert tm1 != tm2
assert not tm1 == tmtau1 # noqa: SIM201
assert not tmtau1 == tm1 # noqa: SIM201
assert tmtau1 != tm1
assert tmtau1 == tmtau1 # noqa: PLR0124
assert tmtau1 != tmtau2
def test_issue_463():
v = vector.obj(x=1, y=1, z=1)
for transform in "xyz", "xytheta", "xyeta", "rhophiz", "rhophitheta", "rhophieta":
trv = getattr(v, "to_" + transform)()
assert trv.deltaangle(trv) == 0.0
def test_issue_621():
_ = pytest.importorskip("jax")
ak = pytest.importorskip("awkward")
vector.register_awkward()
ak.jax.register_and_check()
a = b = ak.to_backend(
ak.zip({"x": [1], "y": [1], "z": [1], "t": [1]}, with_name="Momentum4D"), "jax"
)
# some computation that involves broadcast_and_apply in awkward
# enough to check if it computes at all
assert (a + b).mass
def test_issue_657():
ak = pytest.importorskip("awkward")
vector.register_awkward()
v1_lorentz = vector.Array(
[
{"x": 1.0, "y": 2.0, "z": 3.0, "t": 4.0},
{"x": 5.0, "y": 6.0, "z": 7.0, "t": 8.0},
],
)
v2_lorentz = vector.Array(
[
{"x": 1.0 + 1e-9, "y": 2.0 - 1e-9, "z": 3.0 + 1e-9, "t": 4.0 - 1e-9},
{"x": 5.0 - 1e-9, "y": 6.0 + 1e-9, "z": 7.0 - 1e-9, "t": 8.0 + 1e-9},
]
)
fields_lorentz = (
"xyzt",
"xythetat",
"xyetat",
"rhophizt",
"rhophithetat",
"rhophietat",
"xyztau",
"xythetatau",
"xyetatau",
"rhophiztau",
"rhophithetatau",
"rhophietatau",
)
for t1 in fields_lorentz:
for t2 in fields_lorentz:
transformed_v1, transformed_v2 = (
getattr(v1_lorentz, "to_" + t1)(),
getattr(v2_lorentz, "to_" + t2)(),
)
assert ak.all(transformed_v1.isclose(transformed_v2))
assert not ak.all(
transformed_v1.isclose(transformed_v2, rtol=1e-10, atol=1e-10)
)
# test ak.Record
transformed_r1 = transformed_v1[0]
transformed_r2 = transformed_v2[0]
assert transformed_r1.isclose(transformed_r2)
assert not transformed_r1.isclose(transformed_r2, rtol=1e-10, atol=1e-10)
v1_3d = v1_lorentz.to_xyz()
v2_3d = v2_lorentz.to_xyz()
fields_3d = ("xyz", "xytheta", "xyeta", "rhophiz", "rhophitheta", "rhophieta")
for t1 in fields_3d:
for t2 in fields_3d:
transformed_v1, transformed_v2 = (
getattr(v1_3d, "to_" + t1)(),
getattr(v2_3d, "to_" + t2)(),
)
assert ak.all(transformed_v1.isclose(transformed_v2))
assert not ak.all(
transformed_v1.isclose(transformed_v2, rtol=1e-10, atol=1e-10)
)
# test ak.Record
transformed_r1 = transformed_v1[0]
transformed_r2 = transformed_v2[0]
assert transformed_r1.isclose(transformed_r2)
assert not transformed_r1.isclose(transformed_r2, rtol=1e-10, atol=1e-10)
v1_2d = v1_lorentz.to_xy()
v2_2d = v2_lorentz.to_xy()
fields_2d = ("xy", "rhophi")
for t1 in fields_2d:
for t2 in fields_2d:
transformed_v1, transformed_v2 = (
getattr(v1_2d, "to_" + t1)(),
getattr(v2_2d, "to_" + t2)(),
)
assert ak.all(transformed_v1.isclose(transformed_v2))
assert not ak.all(
transformed_v1.isclose(transformed_v2, rtol=1e-10, atol=1e-10)
)
# test ak.Record
transformed_r1 = transformed_v1[0]
transformed_r2 = transformed_v2[0]
assert transformed_r1.isclose(transformed_r2)
assert not transformed_r1.isclose(transformed_r2, rtol=1e-10, atol=1e-10)
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