{
  "approach": "Modify `_find_place_for_segments_in_memory` to maintain a set of seen segment identifiers (e.g., based on hashed binary representations or waveform data). For each segment in a batch, compute a canonical representation; if seen before, reuse the previously assigned address rather than uploading again.\nAssumption: The issue arises because sequential calls to the function process logically identical segments as separate entities due to lack of inter-call state tracking across batches during compilation.} \nNext steps:\n1. Open `qupulse/_program/tabor.py`.\n2. Locate the definition of `_find_place_for_segments_in_memory`.\n3. Introduce a local cache (like a dict mapping segment-hash->memory_address) inside the function scope to remember placements made during the current invocation.\n4. Before attempting to place/upload a segment, compute its fingerprint (e.g., hash of concatenated channel/marker arrays or existing `binary` property); if present in cache, skip re-upload and reuse stored position.\n5. Ensure the cache is scoped per-invocation so distinct compilations remain independent.\n6. Save and rerun the specific test to confirm it now passes.\nNote: Because the user suspects a hash-based fix, leveraging the deterministic binary serialization (`get_as_binary()` or equivalent) of `TaborSegment` objects offers a straightforward path to equality checking.",
  "files_to_edit": [
    "qupulse/_program/tabor.py"
  ],
  "finish_reason": "stop",
  "hypothesis": "The `_find_place_for_segments_in_memory` function in `qupulse/_program/tabor.py` lacks deduplication when handling multiple identical segments. It processes all segments redundantly instead of checking for uniqueness before uploading.\nFix: Modify `_find_place_for_segments_in_memory` to track already processed segments via their content hash (or equivalent identifier) to skip duplicates.",
  "retries": {},
  "usage": {
    "completion": 393,
    "prompt": 18288,
    "reasoning": 0
  }
}