Dev/ida streaming memory#1
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Resolve out-of-memory kills and silent phases when exporting large already-analyzed databases (e.g. PS5 kernel .i64), without ever re-running auto-analysis on an existing database. - Place per-worker IDA database copies on durable on-disk storage (cache root, overridable via TOCODE_WORKER_TMP_DIR) instead of the system temp dir, which is frequently RAM-backed tmpfs; copying a multi-gigabyte database there pinned memory and OOM-killed the export. - Skip the worker copy entirely when a single worker renders by opening the prepared database in place. - Size the auto IDA worker budget from the database size so a huge database does not over-subscribe RAM. - Log "Loading <binary>" before constructing the backend session so the database open/load is no longer a silent gap. - Drop the per-cluster render log that flooded output and broke the progress bar. - Report the metadata phase with a stepped progress bar and copy the published database in chunks with a byte progress bar. - Annotate _resolve_thunk to clear the mypy annotation-unchecked note. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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