moving contents of test_seeding into a Jupyter notebook, descretisati…

…on refactor, parallel=False for seeding backend method

PySDM/backends/impl_numba/methods/seeding_methods.py

@@ -8,7 +8,7 @@
 class SeedingMethods(BackendMethods):
     @cached_property
     def _seeding(self):
-        @numba.njit(**self.default_jit_flags)
+        @numba.njit(**{**self.default_jit_flags, "parallel": False})
         def body(
             idx,
             multiplicity,

PySDM/initialisation/discretise_multiplicities.py

@@ -9,16 +9,14 @@ def discretise_multiplicities(values_arg):
     """any NaN values in the input array are ignored and flagged
     with zero multiplicities in the output array"""
 
-    values_int = values_arg.round().astype(np.int64)
+    values_int = np.where(np.isnan(values_arg), 0, values_arg).round().astype(np.int64)
 
     if np.issubdtype(values_arg.dtype, np.floating):
         if not np.logical_or(values_int > 0, np.isnan(values_arg)).all():
             raise ValueError(
                 f"int-casting resulted in multiplicity of zero (min(y_float)={min(values_arg)})"
             )
 
-        values_int = np.where(np.isnan(values_arg), 0, values_int)
-
         percent_diff = 100 * abs(
             1 - np.nansum(values_arg) / np.sum(values_int.astype(float))
         )

examples/PySDM_examples/seeding/__init__.py

@@ -0,0 +1,2 @@
+from .settings import Settings
+from .simulation import Simulation