Merkle tree for custom predicate batches (#471)
Resolve https://github.com/0xPARC/pod2/issues/466 Now batches are identified by the root of a merkle tree that contains all the predicates (using sequential indices as keys). This means that the format to identify a custom predicate reference is still a hash + index, but the calculation of the hash is different. The MainPod circuit now isn't limited by number of batches but instead number of custom predicates; and for each one we verify a merkle proof to verify the batch id. I've removed a bunch of tests from lang that were testing splitting into multiple batches because there's no longer any need for that. In a future PR we'll remove the code that handles batch splitting. Each custom predicate needs 148.2 gates (which is very close to my estimate of 142.7 in https://github.com/0xPARC/pod2/issues/466#issuecomment-3823531286 where I actually made a mistake and considered 5 predicates per batch instead of 4 in the previous Params).
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17 changed files with 331 additions and 761 deletions
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@ -37,10 +37,10 @@ pub fn eth_dos_batch(params: &Params) -> Result<Arc<CustomPredicateBatch>> {
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.first_batch()
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.expect("Expected batch")
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.clone();
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println!("a.0. {}", batch.predicates[0]);
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println!("a.1. {}", batch.predicates[1]);
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println!("a.2. {}", batch.predicates[2]);
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println!("a.3. {}", batch.predicates[3]);
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println!("a.0. {}", batch.predicates()[0]);
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println!("a.1. {}", batch.predicates()[1]);
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println!("a.2. {}", batch.predicates()[2]);
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println!("a.3. {}", batch.predicates()[3]);
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Ok(batch)
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}
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