@@ -76,7 +76,6 @@ class CBuffer:
7676 attribute_data : dict [AttributeType , CAttributeBuffer ]
7777
7878
79-
8079def _get_raw_data_view (data : np .ndarray , dtype : np .dtype ) -> VoidPtr :
8180 """
8281 Get a raw view on the data.
@@ -93,14 +92,10 @@ def _get_raw_data_view(data: np.ndarray, dtype: np.dtype) -> VoidPtr:
9392 return np .ascontiguousarray (data , dtype = dtype ).ctypes .data_as (VoidPtr )
9493
9594
96-
9795@overload
9896def _get_raw_component_data_view (data : np .ndarray , schema : ComponentMetaData ) -> VoidPtr : ...
9997@overload
100- def _get_raw_component_data_view (
101- data : dict [AttributeType , np .ndarray ], schema : ComponentMetaData
102- ) -> None : ...
103-
98+ def _get_raw_component_data_view (data : dict [AttributeType , np .ndarray ], schema : ComponentMetaData ) -> None : ...
10499def _get_raw_component_data_view (
105100 data : np .ndarray | dict [AttributeType , np .ndarray ], schema : ComponentMetaData
106101) -> VoidPtr | None :
@@ -431,7 +426,6 @@ def get_buffer_view(
431426 return _get_sparse_buffer_view (cast (SparseBatchArray , data ), schema , batch_size )
432427
433428
434-
435429def create_buffer (properties : BufferProperties , schema : ComponentMetaData ) -> ComponentData :
436430 """
437431 Create a buffer with the provided properties and type.
@@ -477,7 +471,6 @@ def _create_uniform_buffer(properties: BufferProperties, schema: ComponentMetaDa
477471 return _create_contents_buffer (shape = shape , dtype = schema .dtype , columns = properties .columns )
478472
479473
480-
481474def _create_sparse_buffer (properties : BufferProperties , schema : ComponentMetaData ) -> SparseBatchData :
482475 """
483476 Create a sparse buffer with the provided properties and type.
@@ -507,7 +500,6 @@ def _create_contents_buffer(shape, dtype, columns: None) -> SingleArray | DenseB
507500def _create_contents_buffer (
508501 shape , dtype , columns : list [AttributeType ]
509502) -> SingleColumnarData | DenseBatchColumnarData : ...
510-
511503def _create_contents_buffer (shape , dtype , columns ):
512504 if columns is None :
513505 return np .empty (shape = shape , dtype = dtype )
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