You are an expert in writing code in many different languages. Your goal is to perform code completion for the following code, keeping in mind the rest of the code and the file meta data.
    Metadata details:
    filename: read.rs
    path of file: ./repos/polars/crates/polars-io/src/parquet
    
    the code of the file until where you have to start completion: use std::io::{Read, Seek};

use arrow::datatypes::ArrowSchemaRef;
use polars_core::prelude::*;
#[cfg(feature = "cloud")]
use polars_core::utils::accumulate_dataframes_vertical_unchecked;
use polars_parquet::read;
#[cfg(feature = "serde")]
use serde::{Deserialize, Serialize};

use super::re
    
    pub async fn batched(mut self, chunk_size: usize) -> PolarsResult<BatchedParquetReader> {
        let metadata = self.reader.get_metadata().await?.clone();
        let schema = match self.schema {
            Some(schema) => schema,
            None => self.schema().await?,
        };
        // row group fetched deals with projection
        let row_group_fetcher = FetchRowGroupsFromObjectStore::new(
            self.reader,
            schema.clone(),
            self.projection.as_deref(),
            self.predicate.clone(),
            &metadata.row_groups,
            self.n_rows.unwrap_or(usize::MAX),
        )?
        .into();
        BatchedParquetReader::new(
            row_group_fetcher,
            metadata,
            schema,
            self.n_rows.unwrap_or(usize::MAX),
            self.projection,
            self.predicate.clone(),
            self.row_index,
            chunk_size,
            self.use_statistics,
            self.hive_partition_columns,
            self.parallel,
        )
    }