+ IÔiÄcs`€^RIt]P!]4tRt!RR4t!RR4tR#)éNc s2€VP^\4R#)rN)ZinsertÚ TableResource)Z base_classesÚkwargss&,Ú9/usr/lib/python3.14/site-packages/boto3/dynamodb/table.pyÚregister_table_methodsrs€Ø×јœ=Ö)ócs<aa€]tRt^toV3RltRRltRtVtV;t#)rcs(<€\SV`!V/VBR#©N)ZsuperÚ__init__)ÚselfZargsrÚ __class__s&*,€rrZTableResource.__init__sø€Ü ‰Ò˜$Ð) &Ô)rc sZ€\VPVPPVR7#)aÁCreate a batch writer object. This method creates a context manager for writing objects to Amazon DynamoDB in batch. The batch writer will automatically handle buffering and sending items in batches. In addition, the batch writer will also automatically handle any unprocessed items and resend them as needed. All you need to do is call ``put_item`` for any items you want to add, and ``delete_item`` for any items you want to delete. Example usage:: with table.batch_writer() as batch: for _ in range(1000000): batch.put_item(Item={'HashKey': '...', 'Otherstuff': '...'}) # You can also delete_items in a batch. batch.delete_item(Key={'HashKey': 'SomeHashKey'}) :type overwrite_by_pkeys: list(string) :param overwrite_by_pkeys: De-duplicate request items in buffer if match new request item on specified primary keys. i.e ``["partition_key1", "sort_key2", "sort_key3"]`` )Úoverwrite_by_pkeys)Ú BatchWriterZnameZmetaÚclient)rr ó&&rÚ batch_writerZTableResource.batch_writers'€ô6Ø I‰It—y‘y×'Ñ'Ðr2s6ðóà × Ò ˜8Ó $€ò*÷! ñ! ÷Hhóhr