diff --git a/.github/workflows/bench.yml b/.github/workflows/bench.yml index ca195fb6..1ae0d241 100644 --- a/.github/workflows/bench.yml +++ b/.github/workflows/bench.yml @@ -42,7 +42,7 @@ jobs: uses: actions/cache@v3 with: path: data_files - key: data_files-v4 + key: data_files-v5 - name: Download data files if: steps.cache-data_files.outputs.cache-hit != 'true' run: | diff --git a/benchmarks/bench_evolution_consistency.py b/benchmarks/bench_evolution_consistency.py new file mode 100644 index 00000000..9dc73829 --- /dev/null +++ b/benchmarks/bench_evolution_consistency.py @@ -0,0 +1,270 @@ +import pathlib + +import eko +import numpy as np +import pineappl +import pytest +from nnpdf_data import THEORY_CARDS_PATH +from nnpdf_data.theorydbutils import fetch_theory +from pineappl.grid import Grid +from pineappl.subgrid import ImportSubgridV1 + +from pineko import check + +HERA225 = "HERA_NC_225GEV_EP_SIGMARED" +HERA318 = "HERA_NC_318GEV_EP_SIGMARED" + + +def test_no_central_order(test_files, toy_xfx, toy_alphas): + grid_path = pathlib.Path(f"{test_files}/data/grids/400/{HERA225}.pineappl.lz4") + if not grid_path.exists(): + pytest.fail("Test grid not found") + + template_grid = Grid.read(str(grid_path)) + + template_subgrid = None + for b in range(template_grid.bins()): + for c in range(len(template_grid.channels())): + for o in range(len(template_grid.orders())): + sub = template_grid.subgrid(o, b, c) + if sub.is_empty(): + continue + + node_values = sub.node_values + if len(node_values) < 2: + continue + shape = tuple(len(v) for v in node_values) + if any(s == 0 for s in shape): + continue + template_subgrid = sub + break + if template_subgrid: + break + if template_subgrid: + break + + if not template_subgrid: + pytest.skip("Could not find a non-empty subgrid in template!") + + order_0 = pineappl.boc.Order(0, 0, 0, 0, 0) + order_1 = pineappl.boc.Order(1, 0, 0, 0, 0) + + grid_zeroed = Grid( + pid_basis=template_grid.pid_basis, + channels=[pineappl.boc.Channel(c) for c in template_grid.channels()], + orders=[order_0, order_1], + bins=template_grid.bwfl(), + convolutions=template_grid.convolutions, + interpolations=template_grid.interpolations, + kinematics=template_grid.kinematics, + scale_funcs=template_grid.scales, + ) + + grid_opt = Grid( + pid_basis=template_grid.pid_basis, + channels=[pineappl.boc.Channel(c) for c in template_grid.channels()], + orders=[order_1], + bins=template_grid.bwfl(), + convolutions=template_grid.convolutions, + interpolations=template_grid.interpolations, + kinematics=template_grid.kinematics, + scale_funcs=template_grid.scales, + ) + + node_values = template_subgrid.node_values + shape = tuple(len(v) for v in node_values) + data_1 = np.random.rand(*shape) + subgrid_1 = ImportSubgridV1(array=data_1, node_values=node_values) + data_0 = np.zeros(shape) + subgrid_0 = ImportSubgridV1(array=data_0, node_values=node_values) + + for b in range(template_grid.bins()): + for c in range(len(template_grid.channels())): + grid_zeroed.set_subgrid(0, b, c, subgrid_0.into()) + grid_zeroed.set_subgrid(1, b, c, subgrid_1.into()) + grid_opt.set_subgrid(0, b, c, subgrid_1.into()) + + mask_zeroed = pineappl.boc.Order.create_mask(grid_zeroed.orders(), 2, 0, True) + mask_opt = pineappl.boc.Order.create_mask(grid_opt.orders(), 2, 0, True) + pdg_convs = template_grid.convolutions + xfxs = [toy_xfx] * len(pdg_convs) + + res_zeroed = grid_zeroed.convolve(pdg_convs, xfxs, toy_alphas, mask_zeroed) + res_opt = grid_opt.convolve(pdg_convs, xfxs, toy_alphas, mask_opt) + + np.testing.assert_allclose(res_zeroed, res_opt) + + +def test_evolution_no_central_order(test_4100001000, tmp_path, toy_xfx): + """Check that evolution with a real EKO gives identical results for zeroed + vs optimized central order grids.""" + from pineko import evolve + + # Use theory 4100001000 which we know is consistent + tcard_meta = fetch_theory(THEORY_CARDS_PATH, 41000010) + grid_path = pathlib.Path(f"{test_4100001000}/grids/{HERA318}.pineappl.lz4") + eko_path = pathlib.Path(f"{test_4100001000}/ekos/{HERA318}.tar") + + # Grid 1: Zeroed central order. Zero out template grid order at (3,0,0,0,0). + grid_zeroed = Grid.read(str(grid_path)) + target_order = (3, 0, 0, 0, 0) + order_idx = None + for i, o in enumerate(grid_zeroed.orders()): + if o.as_tuple() == target_order: + order_idx = i + break + + if order_idx is None: + pytest.fail(f"Target order {target_order} not found in grid") + + for b in range(grid_zeroed.bins()): + for c in range(len(grid_zeroed.channels())): + sub = grid_zeroed.subgrid(order_idx, b, c) + if sub.is_empty(): + continue + + nv = sub.node_values + if len(nv) > 0: + shape = tuple(len(v) for v in nv) + sub_zero = ImportSubgridV1(array=np.zeros(shape), node_values=nv) + grid_zeroed.set_subgrid(order_idx, b, c, sub_zero.into()) + + # Grid 2: Optimized (removed) central order + grid_opt = Grid.read(str(grid_path)) + grid_opt.delete_orders([order_idx]) + + with eko.EKO.read(eko_path) as operator: + operators = [operator] + fk_zeroed_path = tmp_path / "fk_zeroed.pineappl.lz4" + fk_opt_path = tmp_path / "fk_opt.pineappl.lz4" + + evolve.evolve_grid( + grid_zeroed, + operators, + str(fk_zeroed_path), + max_as=4, + max_al=0, + xir=1.0, + xif=1.0, + xia=1.0, + theory_meta=tcard_meta, + ) + + evolve.evolve_grid( + grid_opt, + operators, + str(fk_opt_path), + max_as=4, + max_al=0, + xir=1.0, + xif=1.0, + xia=1.0, + theory_meta=tcard_meta, + ) + + # Compare resulting FK tables + fk_zeroed = pineappl.fk_table.FkTable.read(str(fk_zeroed_path)) + fk_opt = pineappl.fk_table.FkTable.read(str(fk_opt_path)) + + res_zeroed = fk_zeroed.convolve( + fk_zeroed.convolutions, + [toy_xfx] * len(fk_zeroed.convolutions), + ) + res_opt = fk_opt.convolve( + fk_opt.convolutions, + [toy_xfx] * len(fk_opt.convolutions), + ) + + np.testing.assert_allclose(res_zeroed, res_opt) + + +def test_contains_sv_empty_grid_orders(): + class EmptyGrid: + def orders(self): + return [] + + available, max_as_effective = check.contains_sv( + EmptyGrid(), + max_as=4, + max_al=0, + sv_type=check.Scale.REN, + ) + assert available is check.AvailableAtMax.BOTH + assert max_as_effective == 0 + + +def test_evolution_no_orders(test_4100001000, tmp_path, toy_xfx): + """Compare evolution of: (a) a grid with orders, but all subgrids explicitly + set to zero with (b) the same grid after deleting all orders (no orders at all). + + This test effectively checks how to construct a completely empty FK table from + a completely empty grid. + """ + from pineko import evolve + + tcard_meta = fetch_theory(THEORY_CARDS_PATH, 41000010) + grid_path = pathlib.Path(f"{test_4100001000}/grids/{HERA318}.pineappl.lz4") + eko_path = pathlib.Path(f"{test_4100001000}/ekos/{HERA318}.tar") + + if not (grid_path.exists() and eko_path.exists()): + pytest.skip("Test data not found") + + def zero_all_subgrids(grid: Grid) -> None: + for o in range(len(grid.orders())): + for b in range(grid.bins()): + for c in range(len(grid.channels())): + sub = grid.subgrid(o, b, c) + if sub.is_empty(): + continue + nv = sub.node_values + shape = tuple(len(v) for v in nv) + sub_zero = ImportSubgridV1(array=np.zeros(shape), node_values=nv) + grid.set_subgrid(o, b, c, sub_zero.into()) + + grid_zeroed = Grid.read(str(grid_path)) + zero_all_subgrids(grid_zeroed) + + grid_no_orders = Grid.read(str(grid_path)) + grid_no_orders.delete_orders(list(range(len(grid_no_orders.orders())))) + + with eko.EKO.read(eko_path) as operator: + fk_zeroed_path = tmp_path / "fk_zeroed_subgrids_no_orders_ref.pineappl.lz4" + fk_no_orders_path = tmp_path / "fk_no_orders.pineappl.lz4" + + evolve.evolve_grid( + grid_zeroed, + [operator], + str(fk_zeroed_path), + max_as=4, + max_al=0, + xir=1.0, + xif=1.0, + xia=1.0, + theory_meta=tcard_meta, + ) + + evolve.evolve_grid( + grid_no_orders, + [operator], + str(fk_no_orders_path), + max_as=4, + max_al=0, + xir=1.0, + xif=1.0, + xia=1.0, + theory_meta=tcard_meta, + ) + + fk_zeroed = pineappl.fk_table.FkTable.read(str(fk_zeroed_path)) + fk_no_orders = pineappl.fk_table.FkTable.read(str(fk_no_orders_path)) + + res_zeroed = fk_zeroed.convolve( + fk_zeroed.convolutions, + [toy_xfx] * len(fk_zeroed.convolutions), + ) + res_no_orders = fk_no_orders.convolve( + fk_no_orders.convolutions, + [toy_xfx] * len(fk_no_orders.convolutions), + ) + + np.testing.assert_allclose(res_zeroed, res_no_orders) diff --git a/benchmarks/conftest.py b/benchmarks/conftest.py index 44de162d..e2de8489 100644 --- a/benchmarks/conftest.py +++ b/benchmarks/conftest.py @@ -14,6 +14,11 @@ def test_files(): return pathlib.Path(__file__).parents[0] / "data_files/" +@pytest.fixture +def test_4100001000(): + return pathlib.Path(__file__).parents[0] / "4100001000/" + + @pytest.fixture def test_empty_proj(test_files): path = test_files / "empty_proj/" @@ -65,3 +70,23 @@ def wrapped(newdir): os.chdir(prevdir) return wrapped + + +@pytest.fixture +def toy_xfx(): + """Toy PDF callable.""" + + def xfx(pid, x, q2): + return 1.0 + + return xfx + + +@pytest.fixture +def toy_alphas(): + """Toy alpha_s callable.""" + + def alphas(q2): + return 1.0 + + return alphas diff --git a/download_test_data.sh b/download_test_data.sh old mode 100644 new mode 100755 index 4621dc0d..af6f4e11 --- a/download_test_data.sh +++ b/download_test_data.sh @@ -2,3 +2,4 @@ wget -r -np -nH --cut-dirs=1 -l 4 -e robots=off --no-verbose -R index.* https://data.nnpdf.science/pineko/theory_productions/ wget -r -np -nH --cut-dirs=1 -l 4 -e robots=off --no-verbose -P benchmarks -R index.* https://data.nnpdf.science/pineko/data_files/ wget -r -np -nH --cut-dirs=1 -l 4 -e robots=off --no-verbose -P benchmarks -R index.* https://data.nnpdf.science/pineko/fakepdfs/ +wget -r -np -nH --cut-dirs=1 -l 4 -e robots=off --no-verbose -P benchmarks -R index.* https://data.nnpdf.science/pineko/4100001000/ diff --git a/poetry.lock b/poetry.lock index a74dde3e..f4ac05df 100644 --- a/poetry.lock +++ b/poetry.lock @@ -96,14 +96,14 @@ SQLAlchemy = ">=1.4.29,<2.0.0" [[package]] name = "certifi" -version = "2026.2.25" +version = "2026.4.22" description = "Python package for providing 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+pineappl = "^1.4.0" PyYAML = "^6.0" numpy = "^2" pandas = "^2.1" @@ -59,7 +59,7 @@ pytest-cov = "^4.0.0" pytest-env = "^0.6.2" pylint = "^3.1.0" banana-hep = "^0.6.13" -pineappl-cli = "^1.3.0" +pineappl-cli = "^1.4.0" [tool.poetry.group.dev.dependencies] pdbpp = "^0.11.6" diff --git a/src/pineko/check.py b/src/pineko/check.py index 7aa7103a..be981372 100644 --- a/src/pineko/check.py +++ b/src/pineko/check.py @@ -165,6 +165,8 @@ def orders(grid, max_as, max_al) -> list: def pure_qcd(orders): """Select the QCD LO and pure QCD corrections to it.""" + if len(orders) == 0: + return [] min_al = min(ord[1] for ord in orders) return [ord for ord in orders if ord[1] == min_al] @@ -174,7 +176,14 @@ def contains_sv( ) -> Tuple[AvailableAtMax, int]: """Check whether renormalization scale-variations are available in the pineappl grid.""" svindex = sv_type.value.index - ords = pure_qcd(orders(grid, max_as, max_al)) + ords = orders(grid, max_as, max_al) + # Empty grids (no orders) are a valid case: we must be able to propagate them and + # generate empty FK tables (e.g. for numerical FONLL workflows). + if len(ords) == 0: + return AvailableAtMax.BOTH, 0 + ords = pure_qcd(ords) + if len(ords) == 0: + return AvailableAtMax.BOTH, 0 max_as = max(ord[0] for ord in ords) min_as = min(ord[0] for ord in ords) max_as_cen = max(ord[0] for ord in ords if ord[svindex] == 0) diff --git a/src/pineko/cli/check.py b/src/pineko/cli/check.py index adae173f..48938842 100644 --- a/src/pineko/cli/check.py +++ b/src/pineko/cli/check.py @@ -71,8 +71,8 @@ class Coupling(Enum): SCVAR_MESSAGES = { check.AvailableAtMax.BOTH: "[green]Success:[/] grids contain", - check.AvailableAtMax.CENTRAL: "[orange]Warning:[/] grids do not contain central order for requested", - check.AvailableAtMax.SCVAR: SCVAR_ERROR, + check.AvailableAtMax.CENTRAL: "[orange]Warning:[/] grids do not contain scale variation order for requested", + check.AvailableAtMax.SCVAR: "[orange]Warning:[/] grids do not contain central order for requested", } diff --git a/src/pineko/evolve.py b/src/pineko/evolve.py index 9ae02ba2..fd862c9e 100644 --- a/src/pineko/evolve.py +++ b/src/pineko/evolve.py @@ -67,6 +67,36 @@ def construct_atlas(tcard): return atlas +def construct_empty_fktable(grid, theory_meta, fktable_path): + """Construct an empty FK table from a given grid. + + Parameters + ---------- + gird : pineappl.grid.Grid + a PineAPPL Grid object + fktable_path : str + target path for convolved grid + theory_meta: dict + a dictionary containing the theory metadata + """ + empty_order = pineappl.boc.Order(0, 0, 0, 0, 0) + empty_grid = pineappl.grid.Grid( + pid_basis=grid.pid_basis, + channels=[pineappl.boc.Channel(c) for c in grid.channels()], + orders=[empty_order], + bins=grid.bwfl(), + convolutions=grid.convolutions, + interpolations=grid.interpolations, + kinematics=grid.kinematics, + scale_funcs=grid.scales, + ) + fktable = pineappl.fk_table.FkTable(empty_grid) + fktable.set_metadata("pineko_version", version.__version__) + fktable.set_metadata("theory_card", json.dumps(theory_meta)) + fktable.write_lz4(str(fktable_path)) + return fktable + + def get_convolution_suffix(convolution: pineappl.convolutions.Conv) -> str: """Get the correct suffix for a given convolution. @@ -324,7 +354,7 @@ def evolve_grid( factorization scale variation xia : float fragmentation scale variation - tcard: dict + theory_metadata: dict card containing the theory parameters assumptions : str assumptions on the flavor dimension @@ -333,6 +363,12 @@ def evolve_grid( min_as: None or int minimum power of strong coupling """ + # A grid with no orders is a valid input for some workflows. In that case we + # cannot build evolution kinematics, so we directly emit an empty FK table. + if len(grid.orders()) == 0: + fktable = construct_empty_fktable(grid, theory_meta, fktable_path) + return grid, fktable, None + order_mask = pineappl.boc.Order.create_mask(grid.orders(), max_as, max_al, True) if min_as is not None and min_as > 1: # If using min_as, we want to ignore only orders below that (e.g., if min_as=2 @@ -349,6 +385,14 @@ def evolve_grid( muf2_grid = evol_info.fac1 mur2_grid = evol_info.ren1 + + # `evolve_info` returns empty arrays when all subgrids are absent. However, + # `XGrid` requires at least 2 points, otherwise it panics. In this case, we + # simply return an empty FK table instead. + if (len(x_grid) < 2) or (len(muf2_grid) == 0) or (len(mur2_grid) == 0): + fktable = construct_empty_fktable(grid, theory_meta, fktable_path) + return grid, fktable, None + xif = 1.0 if operators[0].operator_card.configs.scvar_method is not None else xif tcard = operators[0].theory_card opcard = operators[0].operator_card diff --git a/src/pineko/theory.py b/src/pineko/theory.py index 4a8e3e36..55cbf1e6 100644 --- a/src/pineko/theory.py +++ b/src/pineko/theory.py @@ -80,9 +80,6 @@ def get_eko_names(grid_path, name, filter=True): def check_scvar_evolve(grid, max_as, max_al, kind: check.Scale): """Check scale variations and central orders consistency.""" available, max_as_effective = check.contains_sv(grid, max_as, max_al, kind) - if max_as == max_as_effective: - if available is check.AvailableAtMax.SCVAR: - raise ValueError("Central order is not available but sv order is.") if max_as < max_as_effective and available is not check.AvailableAtMax.BOTH: raise ValueError("No available central order or sv order.") diff --git a/tests/conftest.py b/tests/conftest.py index b39879fa..549ddadb 100644 --- a/tests/conftest.py +++ b/tests/conftest.py @@ -43,3 +43,23 @@ def fake_configs(tmp_path): "root": tmp_path, } return fake_configs + + +@pytest.fixture +def toy_xfx(): + """Toy PDF callable.""" + + def xfx(pid, x, q2): + return 1.0 + + return xfx + + +@pytest.fixture +def toy_alphas(): + """Toy alpha_s callable.""" + + def alphas(q2): + return 1.0 + + return alphas diff --git a/tests/test_theory_sv.py b/tests/test_theory_sv.py new file mode 100644 index 00000000..7c28f56f --- /dev/null +++ b/tests/test_theory_sv.py @@ -0,0 +1,77 @@ +import pineappl + +import pineko.check +import pineko.theory + + +class Fake_grid: + def __init__(self, order_list, convolutions=[]): + self.orderlist = order_list + self.convolutions = convolutions + + def orders(self): + return [order._raw for order in self.orderlist] + + +class Order: + def __init__(self, order_tup): + self.orders = order_tup + self._raw = pineappl.boc.Order(*order_tup) + + def as_tuple(self): + return self.orders + + +def test_check_scvar_evolve(): + max_as = 3 + max_al = 0 + + grid_both = Fake_grid( + [ + Order((0, 0, 0, 0, 0)), + Order((1, 0, 0, 0, 0)), + Order((2, 0, 0, 0, 0)), + Order((2, 0, 1, 0, 0)), + ] + ) + pineko.theory.check_scvar_evolve( + grid_both, + max_as, + max_al, + pineko.check.Scale.REN, + ) + + grid_central = Fake_grid( + [ + Order((0, 0, 0, 0, 0)), + Order((1, 0, 0, 0, 0)), + Order((2, 0, 0, 0, 0)), + ] + ) + pineko.theory.check_scvar_evolve( + grid_central, + max_as, + max_al, + pineko.check.Scale.REN, + ) + + grid_scvar = Fake_grid( + [ + Order((0, 0, 0, 0, 0)), + Order((1, 0, 0, 0, 0)), + Order((2, 0, 1, 0, 0)), + ] + ) + pineko.theory.check_scvar_evolve( + grid_scvar, + max_as, + max_al, + pineko.check.Scale.REN, + ) + + pineko.theory.check_scvar_evolve( + grid_scvar, + 1, + max_al, + pineko.check.Scale.REN, + )