|
| 1 | +import awkward as ak |
| 2 | +import pytest |
| 3 | + |
| 4 | +from coffea.nanoevents import ( |
| 5 | + BaseSchema, |
| 6 | + NanoAODSchema, |
| 7 | + NanoEventsFactory, |
| 8 | + PFNanoAODSchema, |
| 9 | + TreeMakerSchema, |
| 10 | +) |
| 11 | + |
| 12 | + |
| 13 | +@pytest.mark.parametrize("mode", ["eager", "virtual"]) |
| 14 | +@pytest.mark.parametrize( |
| 15 | + "file", ["nano_dy", "nano_dimuon", "nano_tree", "pfnano", "treemaker"] |
| 16 | +) |
| 17 | +def test_base_schema(tests_directory, file, mode): |
| 18 | + key = "PreSelection" if file == "treemaker" else "Events" |
| 19 | + file = f"{tests_directory}/samples/{file}" |
| 20 | + ttree = NanoEventsFactory.from_root( |
| 21 | + {f"{file}.root": key}, schemaclass=BaseSchema, mode=mode |
| 22 | + ).events() |
| 23 | + rntuple = NanoEventsFactory.from_root( |
| 24 | + {f"{file}_rntuple.root": key}, schemaclass=BaseSchema, mode=mode |
| 25 | + ).events() |
| 26 | + if mode == "virtual": |
| 27 | + assert not ttree.layout.is_any_materialized |
| 28 | + assert not rntuple.layout.is_any_materialized |
| 29 | + elif mode == "eager": |
| 30 | + assert ttree.layout.is_all_materialized |
| 31 | + assert rntuple.layout.is_all_materialized |
| 32 | + if key == "PreSelection": |
| 33 | + for field in rntuple.fields: |
| 34 | + subfields = rntuple[field].fields |
| 35 | + if subfields != []: |
| 36 | + assert len(subfields) == 1 |
| 37 | + subfield = subfields[0] |
| 38 | + subsubfields = rntuple[field][subfield].fields |
| 39 | + for subsubfield in subsubfields: |
| 40 | + left = rntuple[field][subfield][subsubfield] |
| 41 | + right = ttree[field][f"{field}.{subfield}.{subsubfield}"] |
| 42 | + assert ak.array_equal( |
| 43 | + left, |
| 44 | + right, |
| 45 | + dtype_exact=False, |
| 46 | + check_parameters=False, |
| 47 | + equal_nan=True, |
| 48 | + ) |
| 49 | + else: |
| 50 | + left = rntuple[field] |
| 51 | + right = ttree[field] |
| 52 | + assert ak.array_equal( |
| 53 | + left, |
| 54 | + right, |
| 55 | + dtype_exact=False, |
| 56 | + check_parameters=False, |
| 57 | + equal_nan=True, |
| 58 | + ) |
| 59 | + else: |
| 60 | + assert ak.array_equal( |
| 61 | + rntuple, ttree, dtype_exact=False, check_parameters=False, equal_nan=True |
| 62 | + ) |
| 63 | + |
| 64 | + |
| 65 | +@pytest.mark.parametrize("mode", ["eager", "virtual"]) |
| 66 | +@pytest.mark.parametrize("file", ["nano_dy", "nano_dimuon", "nano_tree"]) |
| 67 | +def test_nanoaod_schema(tests_directory, file, mode): |
| 68 | + file = f"{tests_directory}/samples/{file}" |
| 69 | + ttree = NanoEventsFactory.from_root( |
| 70 | + {f"{file}.root": "Events"}, schemaclass=NanoAODSchema, mode=mode |
| 71 | + ).events() |
| 72 | + rntuple = NanoEventsFactory.from_root( |
| 73 | + {f"{file}_rntuple.root": "Events"}, schemaclass=NanoAODSchema, mode=mode |
| 74 | + ).events() |
| 75 | + if mode == "virtual": |
| 76 | + assert not ttree.layout.is_any_materialized |
| 77 | + assert not rntuple.layout.is_any_materialized |
| 78 | + elif mode == "eager": |
| 79 | + assert ttree.layout.is_all_materialized |
| 80 | + assert rntuple.layout.is_all_materialized |
| 81 | + assert ak.array_equal( |
| 82 | + rntuple, ttree, dtype_exact=False, check_parameters=False, equal_nan=True |
| 83 | + ) |
| 84 | + |
| 85 | + |
| 86 | +@pytest.mark.parametrize("mode", ["eager", "virtual"]) |
| 87 | +def test_pfnano_schema(tests_directory, mode): |
| 88 | + file = f"{tests_directory}/samples/pfnano" |
| 89 | + ttree = NanoEventsFactory.from_root( |
| 90 | + {f"{file}.root": "Events"}, schemaclass=PFNanoAODSchema, mode=mode |
| 91 | + ).events() |
| 92 | + rntuple = NanoEventsFactory.from_root( |
| 93 | + {f"{file}_rntuple.root": "Events"}, schemaclass=PFNanoAODSchema, mode=mode |
| 94 | + ).events() |
| 95 | + if mode == "virtual": |
| 96 | + assert not ttree.layout.is_any_materialized |
| 97 | + assert not rntuple.layout.is_any_materialized |
| 98 | + elif mode == "eager": |
| 99 | + assert ttree.layout.is_all_materialized |
| 100 | + assert rntuple.layout.is_all_materialized |
| 101 | + assert ak.array_equal( |
| 102 | + rntuple, ttree, dtype_exact=False, check_parameters=False, equal_nan=True |
| 103 | + ) |
| 104 | + |
| 105 | + |
| 106 | +@pytest.mark.xfail( |
| 107 | + reason="RNTuple version of the treemaker sample has different field structure" |
| 108 | +) |
| 109 | +@pytest.mark.parametrize("mode", ["eager", "virtual"]) |
| 110 | +def test_treemaker_schema(tests_directory, mode): |
| 111 | + file = f"{tests_directory}/samples/treemaker" |
| 112 | + ttree = NanoEventsFactory.from_root( |
| 113 | + {f"{file}.root": "PreSelection"}, schemaclass=TreeMakerSchema, mode=mode |
| 114 | + ).events() |
| 115 | + rntuple = NanoEventsFactory.from_root( |
| 116 | + {f"{file}_rntuple.root": "PreSelection"}, schemaclass=TreeMakerSchema, mode=mode |
| 117 | + ).events() |
| 118 | + if mode == "virtual": |
| 119 | + assert not ttree.layout.is_any_materialized |
| 120 | + assert not rntuple.layout.is_any_materialized |
| 121 | + elif mode == "eager": |
| 122 | + assert ttree.layout.is_all_materialized |
| 123 | + assert rntuple.layout.is_all_materialized |
| 124 | + assert ak.array_equal( |
| 125 | + rntuple, ttree, dtype_exact=False, check_parameters=False, equal_nan=True |
| 126 | + ) |
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