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from __future__ import annotations
import pytest
from pytest import approx
import boost_histogram as bh
@pytest.mark.parametrize(("opt", "extent"), [("uo", 2), ("", 0)])
def test_make_regular_1D(opt, extent):
hist = bh.Histogram(
bh.axis.Regular(3, 2, 5, underflow="u" in opt, overflow="o" in opt)
)
assert hist.ndim == 1
assert hist.axes[0].size == 3
assert hist.axes[0].extent == 3 + extent
assert hist.axes[0].bin(1) == (3, 4)
@pytest.mark.filterwarnings("ignore")
def test_shortcuts():
hist = bh.Histogram((1, 2, 3), (10, 0, 1))
assert hist.ndim == 2
for i in range(2):
assert isinstance(hist.axes[i], bh.axis.Regular)
assert not isinstance(hist.axes[i], bh.axis.Variable)
@pytest.mark.filterwarnings("ignore")
def test_shortcuts_with_metadata():
with pytest.raises(TypeError):
bh.Histogram((1, 2, 3, 4))
with pytest.raises(TypeError):
bh.Histogram((1, 2))
with pytest.raises(TypeError):
bh.Histogram((1, 2, 3, 4, 5))
with pytest.raises(TypeError):
bh.Histogram((1, 2, 3, "this"))
@pytest.mark.parametrize(("opt", "extent"), [("uo", 2), ("", 0)])
def test_make_regular_2D(opt, extent):
hist = bh.Histogram(
bh.axis.Regular(3, 2, 5, underflow="u" in opt, overflow="o" in opt),
bh.axis.Regular(5, 1, 6, underflow="u" in opt, overflow="o" in opt),
)
assert hist.ndim == 2
assert hist.axes[0].size == 3
assert hist.axes[0].extent == 3 + extent
assert hist.axes[0].bin(1) == approx((3, 4))
assert hist.axes[1].size == 5
assert hist.axes[1].extent == 5 + extent
assert hist.axes[1].bin(1) == approx((2, 3))
@pytest.mark.parametrize(
"storage",
[
bh.storage.Int64(),
bh.storage.Double(),
bh.storage.Unlimited(),
bh.storage.Weight(),
],
)
def test_make_any_hist(storage):
hist = bh.Histogram(
bh.axis.Regular(3, 1, 4),
bh.axis.Regular(2, 2, 4, underflow=False, overflow=False),
bh.axis.Regular(4, 1, 5, circular=True),
storage=storage,
)
assert hist.ndim == 3
assert hist.axes[0].size == 3
assert hist.axes[0].extent == 5
assert hist.axes[0].bin(1) == approx((2, 3))
assert hist.axes[1].size == 2
assert hist.axes[1].extent == 2
assert hist.axes[1].bin(1) == approx((3, 4))
assert hist.axes[2].size == 4
assert hist.axes[2].extent == 5
assert hist.axes[2].bin(1) == approx((2, 3))
def test_make_any_hist_storage():
assert not isinstance(
bh.Histogram(bh.axis.Regular(5, 1, 2), storage=bh.storage.Int64())[0], float
)
assert isinstance(
bh.Histogram(bh.axis.Regular(5, 1, 2), storage=bh.storage.Double())[0], float
)
assert isinstance(bh.Histogram(bh.axis.Regular(5, 1, 2), storage=None)[0], float)
def test_issue_axis_bin_swan():
hist = bh.Histogram(
bh.axis.Regular(10, 0, 10, metadata="x", transform=bh.axis.transform.sqrt),
bh.axis.Regular(10, 0, 1, metadata="y", circular=True),
)
b = hist.axes[1].bin(1)
assert repr(b) == "(0.1, 0.2)"
assert b[0] == approx(0.1)
assert b[1] == approx(0.2)
assert hist.axes[0].bin(0)[0] == 0
assert hist.axes[0].bin(1)[0] == approx(0.1)
assert hist.axes[0].bin(2)[0] == approx(0.4)
hist_ax = (
bh.axis.Regular(5, 1, 2, metadata=None),
bh.axis.Regular(5, 1, 2, metadata=None, overflow=False, underflow=False),
bh.axis.Integer(0, 5, metadata=None),
)
hist_storage = (
bh.storage.Double,
bh.storage.Unlimited,
bh.storage.Int64,
bh.storage.AtomicInt64,
bh.storage.Weight,
)
@pytest.mark.parametrize("ax", hist_ax)
@pytest.mark.parametrize("storage", hist_storage)
def test_make_selection(ax, storage):
histogram = bh.Histogram(ax, storage=storage())
assert isinstance(histogram, bh.Histogram)
histogram = bh.Histogram(ax, ax, storage=storage())
assert isinstance(histogram, bh.Histogram)
# TODO: Make this test do something useful
|
