Commit graph

7 commits

Author SHA1 Message Date
Rob Knight
e9e3241263
Support "records" in Podlang (#507)
* Support both integer and string keys in anchored keys

* Podlang parser support for records

* Validate record usage in Podlang

* Lower records to middleware

* Cross-module record imports

* Tidying

* Record entry name literal

* More tidying

* More tests, make sure qualified record literals are supported

* Use snake-case for record entry names

* Review feedback
2026-05-06 06:21:22 -07:00
dbd958dcca
Allow entries as args in custom statements (#498)
- Introduce a new operation ReplaceValueWithEntry that allows taking any statement and replacing literal arguments with entries given a matching Contains statement.
- Allow entries as args in custom statements
- Circuit optimization: For the public statements slots in the circuit we only support None and Copy which take at most 1 argument; but we were still doing max_statement_args random accesses per slot; so I reduced that to just 1 random access to a previous statement.
2026-04-01 23:49:29 +02:00
Rob Knight
22d25e5cb2
Podlang syntax for quoted predicates (#495) 2026-03-30 15:16:19 +01:00
Rob Knight
acab26e5c1
Remove batch splitting system (#475)
* First pass at removing batch splitting

* Refactor to separate module loading from request parsing

* Consolidate module functionality

* Tidy up comments

* Use array of modules instead of HashMap

* Formatting

* Use module hashes when importing modules
2026-02-09 10:31:47 +01:00
641d8dabdd
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).
2026-02-04 11:12:32 +01:00
498e946612
Feat/fst order pred part3 & part4 (#457)
* support wildcard predicates in frontend

* suport wildcard predicate in podlang

* add validation test

* test full flow and apply some fixes

* fix clippy

* fix merge issues

* use desugared predicate

* Fix parsing of intro statement templates inside custom predicates

* Tidy up comments

* lang: handle wildcard predicate

* add unreachable message

---------

Co-authored-by: Rob Knight <mail@robknight.org.uk>
2026-02-02 10:59:33 +01:00
Rob Knight
42f979c408
Frontend AST for Podlang (#432)
* Basic frontend AST and semantic validation

* Intro statement support

* Simplify validator lifetime

* Fix arity validation

* Lowering and splitting

* Remove legacy processor and use frontend AST by default

* Use builders instead of creating middleware types directly

* Typos/formatting

* Improve error messages when overflowing a batch due to splitting

* Add FromStr implementation for NativePredicate

* Remove 'raw' fields, and switch HashHex representation to byte vector rather than string

* Simpler wrapper types for batch and intro predicate hashes

* Parse secret and public keys to their respective data structures earlier

* More detail around string escape validity

* Simplify native predicate arity handling and move  method to NativePredicate impl

* Store hashes using middleware::Hash, and simplify lowering by using pre-parsed values

* Simplify predicate building

* Formatting

* Better error messages/suggestions for cases where predicate splitting fails

* Formatting

* Clippy fix

* Return error if we get a too-large int
2025-11-13 01:23:21 -08:00