Speed up LargeBocSerializer with bulk cells reading

[dungeon-master-666]

This PR speeds up of vm::LargeBocSerializer by implementing batch fetching with RocksDB::MultiGet instead of sequential RocksDB::Get operations. Key changes include:

• Replaced depth-first search (DFS) traversal with breadth-first search (BFS)
• Implemented level-by-level cell fetching using batched MultiGet, with max batch size of 4 mln.
• This implementation loads batch size cells in memory, which leads to increased memory usage (with batch size 4mln - at peak 15-20gb)
• Since in-memory implementation vm::BagOfCells still uses DFS, the cell order in resulting BoC differs from result of vm::LargeBocSerializer. Therefore test that performs BoC byte to byte comparison in test-db.cpp was disabled.

This change speeds up state serialization up to x3 times.

[yalan2ny]

Adding all the features of the file to solve the problems, especially when entering the cell when you encounter an error, adding these items to fix the error and improve the method of receiving tokens and nfts

[yalan2ny]

The result of checking the addition of all the features of these public relations to fix problems and errors when entering a cell and encountering an error, now request pull and merge the items inserted in the file to fix the cell errors.