avoid pickling of numba objects

avoid pickling of numba objects, use type hints to speed compilation

src/coffea/lumi_tools/lumi_tools.py

@@ -15,9 +15,34 @@
 from numba.typed import Dict
 
 
-def wrap_get_lumi(runlumis, lumi_index):
-    runlumis_or_lz = awkward.typetracer.length_zero_if_typetracer(runlumis).to_numpy()
+def _make_lumi_mask_dict():
+    return Dict.empty(key_type=types.uint32, value_type=types.uint32[:])
+
+
+def _make_lumi_data_dict():
+    return Dict.empty(
+        key_type=types.Tuple([types.uint32, types.uint32]),
+        value_type=types.float64,
+    )
+
+
+_lumi_mask_dict_type = numba.typeof(_make_lumi_mask_dict())
+
+_lumi_data_dict_type = numba.typeof(_make_lumi_data_dict())
+
+
+def wrap_get_lumi(runlumis, lumi_index_astuple):
+    runlumis_or_lz = (
+        awkward.typetracer.length_zero_if_typetracer(runlumis)
+        .to_numpy()
+        .astype(numpy.uint32)
+    )
     wrap_tot_lumi = numpy.zeros((1,))
+    lumi_index = _make_lumi_data_dict()
+    if isinstance(lumi_index_astuple, tuple):
+        LumiData._build_lumi_table_kernel(*lumi_index_astuple, lumi_index)
+    else:
+        lumi_index = lumi_index_astuple
     LumiData._get_lumi_kernel(
         runlumis_or_lz[:, 0], runlumis_or_lz[:, 1], lumi_index, wrap_tot_lumi
     )
@@ -84,20 +109,24 @@ def get_lumi(self, runlumis):
         -------
             (float) The total integrated luminosity of the runs and lumisections indicated in `runlumis`.
         """
+
+        if isinstance(runlumis, LumiList):
+            runlumis = runlumis.array
+
         if self.index is None:
-            self.index = Dict.empty(
-                key_type=types.Tuple([types.uint32, types.uint32]),
-                value_type=types.float64,
-            )
+            self.index = _make_lumi_data_dict()
             runs = self._lumidata[:, 0].astype("u4")
             lumis = self._lumidata[:, 1].astype("u4")
             # fill self.index
-            LumiData._build_lumi_table_kernel(runs, lumis, self._lumidata, self.index)
+            LumiData._build_lumi_table_kernel(
+                runs, lumis, self._lumidata[:, 2], self.index
+            )
             # delayed object cache
-            self.index_delayed = dask.delayed(self.index)
+            if isinstance(runlumis, dask_awkward.Array):
+                self.index_delayed = dask.delayed(
+                    tuple([runs, lumis, self._lumidata[:, 2]])
+                )
 
-        if isinstance(runlumis, LumiList):
-            runlumis = runlumis.array
         tot_lumi = numpy.zeros((1,), dtype=numpy.dtype("float64"))
         if isinstance(runlumis, dask_awkward.Array):
             lumi_meta = wrap_get_lumi(runlumis._meta, self.index)
@@ -120,20 +149,32 @@ def get_lumi(self, runlumis):
         )
 
     @staticmethod
-    @numba.njit(parallel=False, fastmath=False)
+    @numba.njit(
+        types.void(
+            types.uint32[:], types.uint32[:], types.float64[:], _lumi_data_dict_type
+        ),
+        parallel=False,
+        fastmath=False,
+    )
     def _build_lumi_table_kernel(runs, lumis, lumidata, index):
         for i in range(len(runs)):
             run = runs[i]
             lumi = lumis[i]
-            index[(run, lumi)] = float(lumidata[i, 2])
+            index[(run, lumi)] = lumidata[i]
 
     @staticmethod
-    @numba.njit(parallel=False, fastmath=False)
+    @numba.njit(
+        types.void(
+            types.uint32[:], types.uint32[:], _lumi_data_dict_type, types.float64[:]
+        ),
+        parallel=False,
+        fastmath=False,
+    )
     def _get_lumi_kernel(runs, lumis, index, tot_lumi):
         ks_done = set()
         for iev in range(len(runs)):
-            run = numpy.uint32(runs[iev])
-            lumi = numpy.uint32(lumis[iev])
+            run = runs[iev]
+            lumi = lumis[iev]
             k = (run, lumi)
             if k not in ks_done:
                 ks_done.add(k)
@@ -156,7 +197,7 @@ def __init__(self, jsonfile):
         with fsspec.open(jsonfile) as fin:
             goldenjson = json.load(fin)
 
-        self._masks = {}
+        self._masks = dict()
 
         for run, lumilist in goldenjson.items():
             mask = numpy.array(lumilist, dtype=numpy.uint32).flatten()
@@ -183,20 +224,20 @@ def __call__(self, runs, lumis):
 
         def apply(runs, lumis):
             # fill numba typed dict
-            _masks = Dict.empty(key_type=types.uint32, value_type=types.uint32[:])
+            _masks = _make_lumi_mask_dict()
             for k, v in self._masks.items():
                 _masks[k] = v
 
             runs_orig = runs
             if isinstance(runs, awkward.highlevel.Array):
                 runs = awkward.to_numpy(
                     awkward.typetracer.length_zero_if_typetracer(runs)
-                )
+                ).astype(numpy.uint32)
             if isinstance(lumis, awkward.highlevel.Array):
                 lumis = awkward.to_numpy(
                     awkward.typetracer.length_zero_if_typetracer(lumis)
-                )
-            mask_out = numpy.zeros(dtype="bool", shape=runs.shape)
+                ).astype(numpy.uint32)
+            mask_out = numpy.zeros(dtype=bool, shape=runs.shape)
             LumiMask._apply_run_lumi_mask_kernel(_masks, runs, lumis, mask_out)
             if isinstance(runs_orig, awkward.Array):
                 mask_out = awkward.Array(mask_out)
@@ -213,7 +254,13 @@ def apply(runs, lumis):
 
     # This could be run in parallel, but windows does not support it
     @staticmethod
-    @numba.njit(parallel=False, fastmath=True)
+    @numba.njit(
+        types.void(
+            _lumi_mask_dict_type, types.uint32[:], types.uint32[:], types.bool[:]
+        ),
+        parallel=False,
+        fastmath=True,
+    )
     def _apply_run_lumi_mask_kernel(masks, runs, lumis, mask_out):
         for iev in numba.prange(len(runs)):
             run = numpy.uint32(runs[iev])
@@ -307,7 +354,7 @@ def __init__(self, runs=None, lumis=None, delayed=True):
 
         self.array = None
         if not delayed:
-            self.array = numpy.zeros(shape=(0, 2))
+            self.array = numpy.zeros(shape=(0, 2), dtype=numpy.uint32)
 
         if isinstance(runs, dask_awkward.Array) and isinstance(
             lumis, dask_awkward.Array
@@ -342,4 +389,4 @@ def clear(self):
         """Clear current lumi list"""
         if isinstance(self.array, dask_awkward.Array):
             raise RuntimeError("Delayed-mode LumiList cannot be cleared!")
-        self.array = numpy.zeros(shape=(0, 2))
+        self.array = numpy.zeros(shape=(0, 2), dtype=numpy.uint32)

tests/test_lumi_tools.py

@@ -40,7 +40,7 @@ def test_lumidata():
         pyruns = ld._lumidata[:, 0].astype("u4")
         pylumis = ld._lumidata[:, 1].astype("u4")
         LumiData._build_lumi_table_kernel.py_func(
-            pyruns, pylumis, ld._lumidata, py_index
+            pyruns, pylumis, ld._lumidata[:, 2], py_index
         )
 
         assert len(py_index) == len(ld.index)