Fix integration pipeline

This MR fixes several issues with the integration pipeline.

1. !349 (closed).

2. Fixes an oversight introduced in !344 (merged). The issue was with expressions like:

   a: scalar float = CastFunc(b: vector float, float)

   The mentioned MR used get_type_of_expression to determine whether an expression will be vectorized. That works in most cases due to type collation but fails for CastFuncs, which are always vectorized. This MR replaces get_type_of_expression by a small helper function that checks whether an expression is entirely scalar or requires additional vector casts.

pystencils/cpu/kernelcreation.py

-from typing import Union
-
 import sympy as sp
 
 import pystencils.astnodes as ast
-from pystencils.simp.assignment_collection import AssignmentCollection
 from pystencils.config import CreateKernelConfig
 from pystencils.enums import Target, Backend
 from pystencils.astnodes import Block, KernelFunction, LoopOverCoordinate, SympyAssignment
@@ -18,7 +15,7 @@ from pystencils.transformations import (
     resolve_field_accesses, split_inner_loop)
 
 
-def create_kernel(assignments: Union[NodeCollection],
+def create_kernel(assignments: NodeCollection,
                   config: CreateKernelConfig) -> KernelFunction:
     """Creates an abstract syntax tree for a kernel function, by taking a list of update rules.
 
@@ -94,7 +91,7 @@ def create_kernel(assignments: Union[NodeCollection],
     return ast_node
 
 
-def create_indexed_kernel(assignments: Union[AssignmentCollection, NodeCollection],
+def create_indexed_kernel(assignments: NodeCollection,
                           config: CreateKernelConfig) -> KernelFunction:
     """
     Similar to :func:`create_kernel`, but here not all cells of a field are updated but only cells with
@@ -115,21 +112,24 @@ def create_indexed_kernel(assignments: Union[AssignmentCollection, NodeCollectio
     fields_written = assignments.bound_fields
     fields_read = assignments.rhs_fields
 
+    all_fields = fields_read.union(fields_written)
+    # extract the index fields based on the name. The original index field might have been modified
+    index_fields = [idx_field for idx_field in index_fields if idx_field.name in [f.name for f in all_fields]]
+    non_index_fields = [f for f in all_fields if f not in index_fields]
+    spatial_coordinates = {f.spatial_dimensions for f in non_index_fields}
+    assert len(spatial_coordinates) == 1, f"Non-index fields do not have the same number of spatial coordinates " \
+                                          f"Non index fields are {non_index_fields}, spatial coordinates are " \
+                                          f"{spatial_coordinates}"
+    spatial_coordinates = list(spatial_coordinates)[0]
+
     assignments = assignments.all_assignments
     assignments = add_types(assignments, config)
 
-    all_fields = fields_read.union(fields_written)
-
     for index_field in index_fields:
         index_field.field_type = FieldType.INDEXED
         assert FieldType.is_indexed(index_field)
         assert index_field.spatial_dimensions == 1, "Index fields have to be 1D"
 
-    non_index_fields = [f for f in all_fields if f not in index_fields]
-    spatial_coordinates = {f.spatial_dimensions for f in non_index_fields}
-    assert len(spatial_coordinates) == 1, "Non-index fields do not have the same number of spatial coordinates"
-    spatial_coordinates = list(spatial_coordinates)[0]
-
     def get_coordinate_symbol_assignment(name):
         for idx_field in index_fields:
             assert isinstance(idx_field.dtype, StructType), "Index fields have to have a struct data type"