Internal renaming of particle to particles

parcels/basegrid.py

@@ -54,9 +54,9 @@ def search(self, z: float, y: float, x: float, ei=None) -> dict[str, tuple[int,
             - Unstructured grid: {"Z": (zi, zeta), "FACE": (fi, bcoords)}
 
             Where:
-            - index (int): The cell position of a particle along the given axis
+            - index (int): The cell position of the particles along the given axis
             - barycentric_coordinates (float or np.ndarray): The coordinates defining
-              a particle's position within the grid cell. For structured grids, this
+              the particles positions within the grid cell. For structured grids, this
               is a single coordinate per axis; for unstructured grids, this can be
               an array of coordinates for the face polygon.
 

parcels/field.py

@@ -41,7 +41,7 @@ def _deal_with_errors(error, key, vector_type: VectorType):
     elif isinstance(key[-1], KernelParticle):
         key[-1].state = AllParcelsErrorCodes[type(error)]
     else:
-        raise RuntimeError(f"{error}. Error could not be handled because particle was not part of the Field Sampling.")
+        raise RuntimeError(f"{error}. Error could not be handled because particles was not part of the Field Sampling.")
 
     if vector_type and "3D" in vector_type:
         return (0, 0, 0)
@@ -205,7 +205,7 @@ def _check_velocitysampling(self):
                 stacklevel=2,
             )
 
-    def eval(self, time: datetime, z, y, x, particle=None, applyConversion=True):
+    def eval(self, time: datetime, z, y, x, particles=None, applyConversion=True):
         """Interpolate field values in space and time.
 
         We interpolate linearly in time and apply implicit unit
@@ -219,11 +219,11 @@ def eval(self, time: datetime, z, y, x, particle=None, applyConversion=True):
 
         tau, ti = _search_time_index(self, time)
         position = self.grid.search(z, y, x, ei=_ei)
-        _update_particle_states_position(particle, position)
+        _update_particle_states_position(particles, position)
 
         value = self._interp_method(self, ti, position, tau, time, z, y, x)
 
-        _update_particle_states_interp_value(particle, value)
+        _update_particle_states_interp_value(particles, value)
 
         if applyConversion:
             value = self.units.to_target(value, z, y, x)
@@ -287,7 +287,7 @@ def vector_interp_method(self, method: Callable):
         _assert_same_function_signature(method, ref=ZeroInterpolator_Vector, context="Interpolation")
         self._vector_interp_method = method
 
-    def eval(self, time: datetime, z, y, x, particle=None, applyConversion=True):
+    def eval(self, time: datetime, z, y, x, particles=None, applyConversion=True):
         """Interpolate field values in space and time.
 
         We interpolate linearly in time and apply implicit unit
@@ -301,7 +301,7 @@ def eval(self, time: datetime, z, y, x, particle=None, applyConversion=True):
 
         tau, ti = _search_time_index(self.U, time)
         position = self.grid.search(z, y, x, ei=_ei)
-        _update_particle_states_position(particle, position)
+        _update_particle_states_position(particles, position)
 
         if self._vector_interp_method is None:
             u = self.U._interp_method(self.U, ti, position, tau, time, z, y, x)
@@ -319,7 +319,7 @@ def eval(self, time: datetime, z, y, x, particle=None, applyConversion=True):
             (u, v, w) = self._vector_interp_method(self, ti, position, tau, time, z, y, x, applyConversion)
 
         for vel in (u, v, w):
-            _update_particle_states_interp_value(particle, vel)
+            _update_particle_states_interp_value(particles, vel)
 
         if applyConversion and ("3D" in self.vector_type):
             w = self.W.units.to_target(w, z, y, x) if self.W else 0.0
@@ -339,34 +339,34 @@ def __getitem__(self, key):
             return _deal_with_errors(error, key, vector_type=self.vector_type)
 
 
-def _update_particle_states_position(particle, position):
+def _update_particle_states_position(particles, position):
     """Update the particle states based on the position dictionary."""
-    if particle:  # TODO also support uxgrid search
+    if particles:  # TODO also support uxgrid search
         for dim in ["X", "Y"]:
             if dim in position:
-                particle.state = np.maximum(
-                    np.where(position[dim][0] == -1, StatusCode.ErrorOutOfBounds, particle.state), particle.state
+                particles.state = np.maximum(
+                    np.where(position[dim][0] == -1, StatusCode.ErrorOutOfBounds, particles.state), particles.state
                 )
-                particle.state = np.maximum(
-                    np.where(position[dim][0] == GRID_SEARCH_ERROR, StatusCode.ErrorGridSearching, particle.state),
-                    particle.state,
+                particles.state = np.maximum(
+                    np.where(position[dim][0] == GRID_SEARCH_ERROR, StatusCode.ErrorGridSearching, particles.state),
+                    particles.state,
                 )
         if "Z" in position:
-            particle.state = np.maximum(
-                np.where(position["Z"][0] == RIGHT_OUT_OF_BOUNDS, StatusCode.ErrorOutOfBounds, particle.state),
-                particle.state,
+            particles.state = np.maximum(
+                np.where(position["Z"][0] == RIGHT_OUT_OF_BOUNDS, StatusCode.ErrorOutOfBounds, particles.state),
+                particles.state,
             )
-            particle.state = np.maximum(
-                np.where(position["Z"][0] == LEFT_OUT_OF_BOUNDS, StatusCode.ErrorThroughSurface, particle.state),
-                particle.state,
+            particles.state = np.maximum(
+                np.where(position["Z"][0] == LEFT_OUT_OF_BOUNDS, StatusCode.ErrorThroughSurface, particles.state),
+                particles.state,
             )
 
 
-def _update_particle_states_interp_value(particle, value):
+def _update_particle_states_interp_value(particles, value):
     """Update the particle states based on the interpolated value, but only if state is not an Error already."""
-    if particle:
-        particle.state = np.maximum(
-            np.where(np.isnan(value), StatusCode.ErrorInterpolation, particle.state), particle.state
+    if particles:
+        particles.state = np.maximum(
+            np.where(np.isnan(value), StatusCode.ErrorInterpolation, particles.state), particles.state
         )
 
 

parcels/particleset.py

@@ -24,12 +24,12 @@
 
 
 class ParticleSet:
-    """Class for storing particle and executing kernel over them.
+    """Class for storing particles and executing kernel over them.
 
     Please note that this currently only supports fixed size particle sets, meaning that the particle set only
     holds the particles defined on construction. Individual particles can neither be added nor deleted individually,
-    and individual particles can only be deleted as a set procedurally (i.e. by 'particle.delete()'-call during
-    kernel execution).
+    and individual particles can only be deleted as a set procedurally (i.e. by changing their state to 'StatusCode.Delete'
+    during kernel execution).
 
     Parameters
     ----------

parcels/tools/statuscodes.py

@@ -110,10 +110,10 @@ def _raise_time_extrapolation_error(time: float, field=None):
 
 
 class KernelError(RuntimeError):
-    """General particle kernel error with optional custom message."""
+    """General particles kernel error with optional custom message."""
 
-    def __init__(self, particle, fieldset=None, msg=None):
-        message = f"{particle.state}\nParticle {particle}\nTime: {particle.time}\ntimestep dt: {particle.dt}\n"
+    def __init__(self, particles, fieldset=None, msg=None):
+        message = f"{particles.state}\nParticle {particles}\nTime: {particles.time}\ntimestep dt: {particles.dt}\n"
         if msg:
             message += msg
         super().__init__(message)

parcels/xgrid.py

@@ -508,7 +508,7 @@ def _search_1d_array(
     x: float,
 ) -> tuple[int, int]:
     """
-    Searches for the particle location in a 1D array and returns barycentric coordinate along dimension.
+    Searches for particle locations in a 1D array and returns barycentric coordinate along dimension.
 
     Assumptions:
     - array is strictly monotonically increasing.