addressing pylint hints

PySDM/backends/impl_numba/methods/seeding_methods.py

@@ -1,11 +1,13 @@
+""" CPU implementation of backend methods for particle injections """
+
 from functools import cached_property
 
 import numba
 
 from PySDM.backends.impl_common.backend_methods import BackendMethods
 
 
-class SeedingMethods(BackendMethods):
+class SeedingMethods(BackendMethods):  # pylint: disable=too-few-public-methods
     @cached_property
     def _seeding(self):
         @numba.njit(**{**self.default_jit_flags, "parallel": False})
@@ -30,6 +32,7 @@ def body(
 
     def seeding(
         self,
+        *,
         idx,
         multiplicity,
         extensive_attributes,

PySDM/dynamics/seeding.py

@@ -1,3 +1,8 @@
+""" particle injection handling, requires initalising a simulation with
+enough particles flagged with NaN multiplicity (translated to zeros
+at multiplicity discretisation """
+
+
 class Seeding:
     def __init__(
         self,
@@ -20,7 +25,9 @@ def __call__(self):
                 self.particulator.attributes.get_extensive_attribute_keys()
             ) != tuple(self.seeded_particle_extensive_attributes.keys()):
                 raise ValueError(
-                    f"extensive attributes ({self.seeded_particle_extensive_attributes.keys()}) do not match those used in particulator ({self.particulator.attributes.get_extensive_attribute_keys()})"
+                    f"extensive attributes ({self.seeded_particle_extensive_attributes.keys()})"
+                    " do not match those used in particulator"
+                    f" ({self.particulator.attributes.get_extensive_attribute_keys()})"
                 )
 
         time = self.particulator.n_steps * self.particulator.dt