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pycvc: state_exec parity part 2 (environments, builtins, schedulers) - #671
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… P0) Declare the state_exec s-expression grammar in docs/STATE_EXEC_GRAMMAR.md (W3C EBNF, Unicode source rules, literal tables, and a table of every intentional change from the hand-written parser, tagged by phase P2-P4). The parser itself is unchanged; later phases build it from this grammar. state_exec_grammar_test tags each case with the phase it holds from: landed cases must hold, pending cases must still differ, the doc's EBNF must be closed, and every production needs a case. state_exec_corpus_test pins how the 597 DSL scripts the repo carries parse today (state_exec_corpus/, regenerated with gen_state_exec_corpus.py and CVC_UPDATE_GOLDENS=1). Also correct parser.h (no quasiquote) and the developer guide (false and #f read as nil, bytes literals exist).
Spec only: parse_options::max_depth on parse()/parse_all()/parser and execute_options::max_parse_depth for submitted scripts, both from P2. Records why the limit exists (the reader recurses on the native stack; the evaluators are stackless) and the corpus's real depths (max 13, median 2).
Spec only. max_depth resolves from state_exec.schedulers.<id>.parser.max_depth, then state_exec.defaults.parser.max_depth, then 256, matching scheduler::load_settings(); parse_options remains for callers without a tree. Drops the execute_options::max_parse_depth idea so the tree is the single source.
…grammar P1b) The parser now stops at parser.max_depth nested lists and quotes (default 256) with a parse_error, instead of recursing until the native stack overflows. Like the scheduler's other settings, the limit lives on the state tree: state_exec.schedulers.<id>.parser.max_depth, then state_exec.defaults.parser.max_depth, then 256; a missing, malformed or zero value is skipped. - parser: parse_options (max_depth) on parse()/parse_all()/parser, a depth guard on lists and quotes, and parse_options_from_state(). - scheduler: load_settings() resolves parser.* and publishes the effective value under state_exec.schedulers.<id>.parser.max_depth; execute() parses with it. - async_scheduler (the app's exec scheduler) reads the defaults key on every submit; Ariadne predicates read it from the app tree. - stackless evaluators: create_state(script, env, parse_options). The grammar test moves from a numeric kLandedPhase to named phases; the 257-deep case is P1b and holds now. Tests cover the default, a custom depth, quotes, 100000 open parens, the error position, tree resolution, bad values, and both schedulers.
…e read) Lists and quotes were parsed by native recursion, so input depth was bounded by the thread's stack. The parser now keeps open lists and quotes on a heap stack of frames and reads in a loop: native stack depth is constant however deeply the input nests (a test reads a million open parens and reports the unclosed list instead of crashing). The loop is a resumable read(out, budget): it reads up to `budget` tokens and returns datum / end / more, carrying open frames between calls, so a scheduler can parse a script a slice at a time. parse() and parse_all() call it with no budget. Output is unchanged, quirks included (a stray top-level `)` still reads as a symbol until P2): the conformance cases, the 597-script corpus and the evaluator suites all pass. parser.max_depth stays on the state tree; it now bounds parsed data for the code that still walks values recursively (list destruction, the snapshot codec, to_string) rather than the parser's own stack. parse_fib20_expr: about 3.4 us vs 3.1 us for the recursive parser (median of 6, MSVC Release, loaded machine).
The stackless parser's state is an input position plus a heap stack of open frames, so it can pause anywhere. New setting parser.step_tokens (on the state tree, resolved like parser.max_depth; default 0) lets a scheduler parse a submitted script inside the new process instead of at submit: each scheduler step reads N tokens, and the step that reaches the end sets up evaluation exactly as parsing up front would have. - Reading steps are process steps: they count against max_steps and max_time and interleave with other processes. - A syntax error surfaces like a runtime error: the async scheduler kills the process with it as the exit error; the sync scheduler throws it from step()/run(). With step_tokens = 0, execute() still throws. - Signals and watch events wait until the script is read (their handlers run on the evaluation stack, which doesn't exist yet). - The snapshot codec stores a mid-read process's source and settings and re-reads it after a restore. Adds parse_options::step_tokens, script_reader (owns its source and drives parser::read() a budget at a time) and evaluator_state::reading; stackless_evaluator::step() reads until the script is read. Tests cover the reader, the evaluator, the codec and both schedulers (results, syntax errors, max_steps, deferred signals).
…ens) app::exec_scheduler(), which runs Ariadne's actions and residents, now defaults parser.step_tokens to 1024, so it parses submitted scripts inside their processes. async_scheduler gains set_parser_defaults(): the built-in values under its watch root's state_exec.defaults.parser.* keys. A plain async_scheduler (pycvc's Exec) and the sync scheduler stay at 0, so they still report syntax errors at submit. Why 1024: every script the repo carries reads in one slice (the largest is 159 tokens, .ari scripts at most 24), so a normal action pays one extra step of its 5000; a slice costs about 80 us at the parser's measured ~80 ns/token, so a pathologically large script is spread over steps and frames instead of stalling a drain. Ariadne now says why a process died: a killed action's warning carries its exit error, and the per-frame sweep reports a killed resident (a syntax error in its body, a runtime error, its per-step cap) once, instead of letting it vanish silently.
…uler
pycvc's Exec runs programs on a private async_scheduler that already
watches the app's state tree, but its built-in parser defaults were
plain parse_options{} while app::exec_scheduler() read scripts in
1024-token steps. Both now take async_scheduler::host_parser_defaults(),
one definition (with the reasoning for 1024) for every libcvc host, and
the app tree's state_exec.defaults.parser.* keys override both.
Exec.run() still raises a RuntimeError with the parse error's message:
from the killed process's exit error when the script is read in steps,
or from execute() when the tree sets step_tokens to 0.
Tests: test_pycvc_exec.py checks the parse error's message and that
max_depth / step_tokens on the app tree configure Exec; the integration
test pins the app scheduler to host_parser_defaults().
pycvc's state_exec surface was only Exec; the parser settings these PRs add had no Python counterpart, so the defaults weren't even observable. In pycvc's direct-wrap style (the real C++ types, no facade): - pycvc.parse_options: the real cvc::state_exec::parse_options struct (max_depth, step_tokens), C++ defaults included. - pycvc.async_scheduler.host_parser_defaults(): the real static, declared to SWIG on its own (async_scheduler isn't wrapped yet, so no constructor). - pycvc.parse_options_from_state(app, scheduler_id="", base=...): the C++ resolver, taking the app where C++ takes the root (pycvc's convention). - Exec.parser_defaults() / Exec.set_parser_defaults(): the same calls as the async_scheduler Exec wraps. test_pycvc_exec.py covers each against the C++ behaviour; the README gains a state_exec section. Built locally (SWIG 4.4.1, Python 3.11): exec, exec_async, exec_coro and ari tests, 26 passed.
Wrap the real cvc::state_exec::parse_options_from_state(state&, id, base) instead of a pycvc adapter that took the app: Python passes the tree root, pycvc.State.instance(app), exactly as C++ passes cvc::state&. This is the first decision of the pycvc/C++ parity approach (C++ cvc::state& parameters take a pycvc.State in Python).
…codec) Start bringing pycvc's state_exec API to the C++ surface under the C++ names (docs/PYCVC_STATE_EXEC_PARITY.md: the audit of all 20 state_exec headers, the agreed approach, and the PR plan). - One strict value_t <-> Python conversion (pycvc_value.h), used by every API and by Exec: native types for data, pycvc.symbol (the real struct) for symbols, and pycvc.value (the real value_t, opaque) for closures, native fns, data objects and generators, which convert back unchanged. Non-str dict keys and unsupported types raise TypeError, ints beyond 64 bits OverflowError, and nesting past 1000 levels or a cycle ValueError. This replaces the lossy converter (symbols became str, closures "<closure>", anything else str(obj)), which could also put a null item in a list on invalid UTF-8 and leave an OverflowError pending. - pycvc.parse / parse_all, pycvc.parse_error (a RuntimeError with .line and .col), pycvc.script_reader, to_string, values_equal, and the value codec encode_value / decode_value on a State node. - Exec.run raises pycvc.parse_error for a syntax error whether the script was parsed at submit or read inside the process (it re-parses a killed process's script to recover the position). - The pycvc README's Status/Design sections described a v0 facade; they now describe the direct-wrap design. test_pycvc_state_exec.py (13 tests) covers each against the C++ behaviour. Locally: those plus pycvc's exec, async, coro, ari, state and core suites pass (87), except test_volume_rawiv_roundtrip, which fails the same way on the unmodified build (a Windows temp-file lock).
Wrap the scheduler surface of cvc::state_exec under the C++ names: - environment (shared, as environment_ptr) and builtins: make_default_environment, and register_fn taking a Python callable or a pycvc.value holding a native fn. - execute_options (on_complete is a Python callable, signal_handlers a dict), process_info, scheduler_stats, percent_encode/percent_decode. - process_status and scheduling_policy as enum.IntEnum classes; an enum argument must be a member, so to_string(process_status) and to_string(value_t) keep their shared name. - scheduler and async_scheduler as real classes with their non-coroutine members. run/step and sync_run/sync_step release the GIL; Python callbacks retake it. - Exec.scheduler() returns Exec's async_scheduler, which keeps the Exec alive. Empty optionals are None, except for values: get_result, pop_pending_message and environment.lookup raise KeyError, since None is nil. The value_t typecheck now runs last, so execute(str) picks the script overload. test_pycvc_state_exec_sched.py repeats the C++ scheduler tests on both classes. The parity doc and README are updated.
… data_options wrap)
…rap #658's data settings and budget fields on the schedulers
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…rap #658's step_kind and the per-kind stats
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Targets master. #661 (part 1) merged as 50c6d02, and master is merged in (8b18056), so the diff here is part 2 only. #675 (part 3) is stacked on this PR.
Part 2 of bringing pycvc's state_exec API to the C++ surface, under the C++ names.
docs/PYCVC_STATE_EXEC_PARITY.mdhas the audit, the approach and the plan; this PR updates its inventory and adds four rules to the approach (enums, empty results, callables, the GIL).This PR
pycvc.environment: the real struct, shared likeenvironment_ptr. It hasset,set_existing,extend,outerandlookup, andbindingsreads and writes as a dict.pycvc.builtins:make_default_environment();register_fn(env, name, fn), wherefnis a Python callable, or apycvc.valueholding a native fn (soenv.lookup("+")can be registered under another name).pycvc.execute_options,pycvc.process_info,pycvc.scheduler_stats, with the C++ fields and defaults:on_completeis a Python callable, and reads back as the callable that was set;signal_handlersis a dict;uint64_tfields are Python ints over their full range.pycvc.process_statusandpycvc.scheduling_policy:enum.IntEnumclasses with the C++ names and values, sopycvc.process_status.killedisprocess_status::killed. Alsoto_string(process_status)andparse_process_status.pycvc.schedulerandpycvc.async_scheduler: the real classes, with every non-coroutine member:set_id,load_settings,parser_settingsand thesettings_root/defaults_prefix/sched_prefixconstants onscheduler;kill_owner,wake_awaiting,post_message,drain_ingress,get_exit_error,reapand the parser defaults onasync_scheduler.pycvc.percent_encode/percent_decode.Exec.scheduler(): returns theasync_schedulerthatExec.rundrives. The returned object keeps theExecalive.Rules this PR follows
IntEnum. A plain int stays a value, sopycvc.to_string(2)is"2"andpycvc.to_string(process_status.waiting)is"waiting".std::optionalisNone, except for a value.Noneis nil, soget_result,pop_pending_messageandenvironment.lookupraiseKeyError(pid / path / name)where C++ returnsstd::nulloptor nullptr. A program that returns nil still givesNone.run();scheduler.run/stepandasync_scheduler.sync_run/sync_steprelease it while programs run. Thread safety is otherwise the C++ one: onlypost_messagemay be called while a scheduler runs.value_ttypecheck now runs last (precedence 10000, was 0). Astrgoes toexecute(script)rather than being executed as a string value, and an enum goes toto_string(process_status).Not in this PR
processstruct, and with itcurrent_process()andqueue_watch_event(). They come withevaluator_state, which a process holds.mem_tracker():memory_trackeris internal to the schedulers.step()/run(): Python hassync_step()/sync_run().Exec.environment(): not added. Its intrinsics point into theExec, so a stored environment could outlive it. PR 3'sregister_intrinsicsgives a program submitted toExec.scheduler()the intrinsics safely.Tests
bindings/pycvc/test_pycvc_state_exec_sched.py(23 tests, registered with CTest) repeats the C++ tests instate_exec_scheduler_test.cppandstate_exec_async_test.cppon both classes where both have the call. The GIL test checks that another Python thread makes progress in the middle third of a 0.3 srun(). Measured locally: a call that holds the GIL (a 60 MBpercent_encode) gives 0 ticks there, whilerun/sync_rungive about 400k.Local results, Windows MSVC 14.38 Release, SWIG 4.4.1, Python 3.11, cvcpkg prefix:
test_pycvc_state_exec_sched.pytest_volume_rawiv_roundtrip, the Windows file lock #663 fixes (not in this stack)pycvc_glbuild (build-win-gl, VTK-Python bridge off as in #661)pycvc_glscripts, plustest_pycvc_state_exec,_sched,_execand_stateon that buildclang-format 18 is clean on the C++ files, and
ruff(E, F, W) is clean on the new test.Notes on C++ behaviour the tests pin
environment::set_existingon a name bound nowhere sets it in the outermost unfrozen scope. When this PR opened, the header comment said "in this scope"; state_exec: load the stdlib modules in every environment, with a per-call allocation limit #660 has since corrected it.running, so a laterrun()steps it and throws again. The async scheduler kills it instead. Both are the existing C++ behaviour.Since opening
state_exec: read submitted scripts inside the process, a slice per step #653 landed. Master is merged into pycvc: state_exec parity part 1 (values, parsing, parse_error, value codec) #661 and, through pycvc: state_exec parity part 1 (values, parsing, parse_error, value codec) #661, into this branch (40d0ce2). On that merged tree, the parity, exec, async, coro, Ariadne and state suites pass: 83 tests.
environment.frozen: state_exec: load the stdlib modules in every environment, with a per-call allocation limit #660 added frozen scopes toenvironment. The wrapper now has the field, andtest_a_frozen_scope_is_read_onlychecks the two rules:setraisesRuntimeError(C++ throwsstd::logic_error), andset_existingshadows the name in an unfrozen scope instead of writing into the frozen one.Merge order: agreed with the sessions working on state_exec: deep-data work a slice per step, and the budget by kind #658, state_exec: max_memory covers the measured heap; collect reference cycles #667 and state_exec: the stdlib materializers run as sliced data steps, and predicates get them #665. Their chain lands first; I then merge master into pycvc: state_exec parity part 1 (values, parsing, parse_error, value codec) #661/pycvc: state_exec parity part 2 (environments, builtins, schedulers) #671 and resolve the conflicts with state_exec: deep-data work a slice per step, and the budget by kind #658's
data_optionswrap inpycvc.i/pycvc_exec.state_exec: deep-data work a slice per step, and the budget by kind #658 landed (2026-10-18). Master is merged in through pycvc: state_exec parity part 1 (values, parsing, parse_error, value codec) #661 (4f05226). On the merged tree, this PR also wraps the state_exec: deep-data work a slice per step, and the budget by kind #658 API next to what it already wraps:
async_scheduler.data_defaults/set_data_defaults/data_settingsbesidehost_data_defaults;scheduler.data_settings();process_info's steps and times by kind (read_steps,eval_steps,data_steps,data_nodes,read_time,eval_time,data_time).test_data_settings_and_the_budget_by_kindcovers them. Locally, 89 tests pass across the parity, exec, async, coro, Ariadne and state suites.