Kernel decorator fix

.gitignore

@@ -20,7 +20,9 @@ pystencils/boundaries/createindexlistcython.*.so
 pystencils_tests/tmp
 pystencils_tests/kerncraft_inputs/.2d-5pt.c_kerncraft/
 pystencils_tests/kerncraft_inputs/.3d-7pt.c_kerncraft/
+report.xml
+coverage_report/
 
 
 # macOS
-**/.DS_Store
+**/.DS_Store
\ No newline at end of file

pystencils/__init__.py

@@ -7,7 +7,7 @@ from .data_types import TypedSymbol
 from .datahandling import create_data_handling
 from .display_utils import get_code_obj, get_code_str, show_code, to_dot
 from .field import Field, FieldType, fields
-from .kernel_decorator import kernel
+from .kernel_decorator import kernel, kernel_config
 from .kernelcreation import (
     CreateKernelConfig, create_domain_kernel, create_indexed_kernel, create_kernel, create_staggered_kernel)
 from .simp import AssignmentCollection
@@ -34,7 +34,7 @@ __all__ = ['Field', 'FieldType', 'fields',
            'assignment_from_stencil',
            'SymbolCreator',
            'create_data_handling',
-           'kernel',
+           'kernel', 'kernel_config',
            'x_', 'y_', 'z_',
            'x_staggered', 'y_staggered', 'z_staggered',
            'x_vector', 'x_staggered_vector',

pystencils/kernel_decorator.py

 import ast
 import inspect
 import textwrap
-from typing import Callable, Union, List, Dict
+from typing import Callable, Union, List, Dict, Tuple
 
 import sympy as sp
 
 from pystencils.assignment import Assignment
 from pystencils.sympyextensions import SymbolCreator
+from pystencils.kernelcreation import CreateKernelConfig
 
-__all__ = ['kernel']
+__all__ = ['kernel', 'kernel_config']
 
 
-def kernel(func: Callable[..., None], return_config: bool = False, **kwargs) -> Union[List[Assignment], Dict]:
-    """Decorator to simplify generation of pystencils Assignments.
-
-    Changes the meaning of the '@=' operator. Each line containing this operator gives a symbolic assignment
-    in the result list. Furthermore the meaning of the ternary inline 'if-else' changes meaning to denote a
-    sympy Piecewise.
-
-    The decorated function may not receive any arguments, with exception of an argument called 's' that specifies
-    a SymbolCreator()
-    func: the decorated function
-    return_config: Specify whether to return the list with assignments, or a dictionary containing additional settings
-                   like func_name
-
-    Examples:
-        >>> import pystencils as ps
-        >>> @kernel
-        ... def my_kernel(s):
-        ...     f, g = ps.fields('f, g: [2D]')
-        ...     s.neighbors @= f[0,1] + f[1,0]
-        ...     g[0,0]      @= s.neighbors + f[0,0] if f[0,0] > 0 else 0
-        >>> f, g = ps.fields('f, g: [2D]')
-        >>> assert my_kernel[0].rhs == f[0,1] + f[1,0]
+def _kernel(func: Callable[..., None], **kwargs) -> Tuple[List[Assignment], str]:
+    """
+    Convenient function for kernel decorator to prevent code duplication
+    Args:
+        func: decorated function
+        **kwargs: kwargs for the function
+    Returns:
+        assignments, function_name
     """
     source = inspect.getsource(func)
     source = textwrap.dedent(source)
@@ -55,10 +42,74 @@ def kernel(func: Callable[..., None], return_config: bool = False, **kwargs) ->
     if 's' in args and 's' not in kwargs:
         kwargs['s'] = SymbolCreator()
     func(**kwargs)
-    if return_config:
-        return {'assignments': assignments, 'function_name': func.__name__}
-    else:
-        return assignments
+    return assignments, func.__name__
+
+
+def kernel(func: Callable[..., None], **kwargs) -> List[Assignment]:
+    """Decorator to simplify generation of pystencils Assignments.
+
+    Changes the meaning of the '@=' operator. Each line containing this operator gives a symbolic assignment
+    in the result list. Furthermore the meaning of the ternary inline 'if-else' changes meaning to denote a
+    sympy Piecewise.
+
+    The decorated function may not receive any arguments, with exception of an argument called 's' that specifies
+    a SymbolCreator()
+    Args:
+        func: decorated function
+        **kwargs: kwargs for the function
+
+    Examples:
+        >>> import pystencils as ps
+        >>> @kernel
+        ... def my_kernel(s):
+        ...     f, g = ps.fields('f, g: [2D]')
+        ...     s.neighbors @= f[0,1] + f[1,0]
+        ...     g[0,0]      @= s.neighbors + f[0,0] if f[0,0] > 0 else 0
+        >>> f, g = ps.fields('f, g: [2D]')
+        >>> assert my_kernel[0].rhs == f[0,1] + f[1,0]
+    """
+    assignments, _ = _kernel(func, **kwargs)
+    return assignments
+
+
+def kernel_config(config: CreateKernelConfig, **kwargs) -> Callable[..., Dict]:
+    """Decorator to simplify generation of pystencils Assignments, which takes a configuration
+    and updates the function name accordingly.
+
+    Changes the meaning of the '@=' operator. Each line containing this operator gives a symbolic assignment
+    in the result list. Furthermore the meaning of the ternary inline 'if-else' changes meaning to denote a
+    sympy Piecewise.
+
+    The decorated function may not receive any arguments, with exception of an argument called 's' that specifies
+    a SymbolCreator()
+    Args:
+        config: Specify whether to return the list with assignments, or a dictionary containing additional settings
+                like func_name
+    Returns:
+        decorator with config
+
+    Examples:
+        >>> import pystencils as ps
+        >>> config = ps.CreateKernelConfig()
+        >>> @kernel_config(config)
+        ... def my_kernel(s):
+        ...     f, g = ps.fields('f, g: [2D]')
+        ...     s.neighbors @= f[0,1] + f[1,0]
+        ...     g[0,0]      @= s.neighbors + f[0,0] if f[0,0] > 0 else 0
+        >>> f, g = ps.fields('f, g: [2D]')
+        >>> assert my_kernel['assignments'][0].rhs == f[0,1] + f[1,0]
+    """
+    def decorator(func: Callable[..., None]) -> Union[List[Assignment], Dict]:
+        """
+        Args:
+            func: decorated function
+        Returns:
+            Dict for unpacking into create_kernel
+        """
+        assignments, func_name = _kernel(func, **kwargs)
+        config.function_name = func_name
+        return {'assignments': assignments, 'config': config}
+    return decorator
 
 
 # noinspection PyMethodMayBeStatic

pystencils_tests/test_create_kernel_config.py

+import numpy as np
 import pystencils as ps
 
 
@@ -15,3 +16,14 @@ def test_create_kernel_config():
     c = ps.CreateKernelConfig(backend=ps.Backend.CUDA)
     assert c.target == ps.Target.CPU
     assert c.backend == ps.Backend.CUDA
+
+
+def test_kernel_decorator_config():
+    config = ps.CreateKernelConfig()
+    a, b, c = ps.fields(a=np.ones(100), b=np.ones(100), c=np.ones(100))
+
+    @ps.kernel_config(config)
+    def test():
+        a[0] @= b[0] + c[0]
+
+    ps.create_kernel(**test)