use crate::{    PredictionProvider,    example::{ActualCursor, Example},    format_prompt::{TeacherJumpsPrompt, TeacherPrompt},    repair,};use anyhow::{Context as _, Result};use zeta_prompt::{    ZetaFormat, parse_zeta2_model_output, parse_zeta2_model_output_as_patch, parsed_output_to_patch,}; pub fn run_parse_output(example: &mut Example) -> Result<()> {    example        .prompt_inputs        .as_ref()        .context("prompt_inputs required")?;     let to_parse: Vec<_> = example        .predictions        .iter()        .enumerate()        .filter(|(_, p)| !p.actual_output.is_empty())        .map(|(ix, p)| (ix, p.actual_output.clone(), p.provider))        .collect();     for (ix, actual_output, provider) in to_parse {        let (actual_patch, actual_cursor) =            parse_prediction_output(example, &actual_output, provider)?;        example.predictions[ix].actual_patch = Some(actual_patch);        example.predictions[ix].actual_cursor = actual_cursor;    }     Ok(())} pub fn parse_prediction_output(    example: &Example,    actual_output: &str,    provider: PredictionProvider,) -> Result<(String, Option<ActualCursor>)> {    match provider {        PredictionProvider::Teacher(_, _) | PredictionProvider::TeacherNonBatching(_, _) => {            TeacherPrompt::parse(example, actual_output)        }        PredictionProvider::TeacherJumps(_) | PredictionProvider::TeacherJumpsNonBatching(_) => {            TeacherJumpsPrompt::parse(example, actual_output)        }        PredictionProvider::Zeta2(version) => parse_zeta2_output(example, actual_output, version),        PredictionProvider::Repair => repair::parse(example, actual_output),        _ => anyhow::bail!(            "parse-output only supports Teacher and Zeta2 providers, got {:?}",            provider        ),    }} fn parse_zeta2_output(    example: &Example,    actual_output: &str,    format: ZetaFormat,) -> Result<(String, Option<ActualCursor>)> {    let prompt_inputs = example        .prompt_inputs        .as_ref()        .context("prompt_inputs required")?;     if format == ZetaFormat::V0615HashRegions {        return Ok((            parse_zeta2_model_output_as_patch(actual_output, format, prompt_inputs)?,            None,        ));    }     let parsed = parse_zeta2_model_output(actual_output, format, prompt_inputs)?;    let range_in_excerpt = parsed.range_in_excerpt.clone();    let excerpt = prompt_inputs.cursor_excerpt.as_ref();    let editable_region_offset = range_in_excerpt.start;    let editable_region_start_line = excerpt[..editable_region_offset].matches('\n').count();     let mut new_text = parsed.new_editable_region.clone();    if !new_text.is_empty() && !new_text.ends_with('\n') {        new_text.push('\n');    }     let cursor_offset = parsed.cursor_offset_in_new_editable_region;    let formatted_diff = parsed_output_to_patch(prompt_inputs, parsed)?;     let actual_cursor = cursor_offset.map(|editable_region_cursor_offset| {        ActualCursor::from_editable_region(            &example.spec.cursor_path,            editable_region_cursor_offset,            &new_text,            excerpt,            editable_region_offset,            editable_region_start_line,        )    });     Ok((formatted_diff, actual_cursor))}