OOM on numpy in dict with an update

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**Describe the bug**

I can get pyright 1.1.408 to OOM on a small (kind of weird) code snippet.

**Code or Screenshots**

Claude Code helped me bisect and minimize this reproducer.

With `uv` installed:

```
#!/bin/bash
set -e
REPRO_DIR=$(mktemp -d)
cd "$REPRO_DIR"

cat >pyright_oom.py <<'EOF'
def trigger_oom() -> dict:
import numpy as np
result = {"np": np}
result.update({
"str": str, "int": int, "float": float, "bool": bool,
"list": list, "dict": dict, "set": set, "tuple": tuple,
"frozenset": frozenset, "bytes": bytes, "bytearray": bytearray,
"abs": abs, "round": round, "min": min, "max": max,
"sum": sum, "pow": pow, "divmod": divmod, "len": len,
"range": range, "enumerate": enumerate, "zip": zip,
"sorted": sorted, "reversed": reversed, "slice": slice,
"map": map, "filter": filter, "any": any, "all": all, "type": type,
})
return result
EOF

cat >pyrightconfig.json <<'EOF'
{"venvPath": ".", "venv": ".venv", "pythonVersion": "3.12"}
EOF

uv venv .venv
uv pip install numpy --quiet
echo "Running pyright in $REPRO_DIR (will OOM after ~60-90s)..."
time uvx pyright pyright_oom.py
```

Start by running the reproducer in pyright_oom.py with the pyrightconfig.json configuration and the listed uv commands. Trace the analysis triggered by the NumPy import and dictionary update, then verify that the same command completes without exhausting memory.

Written by the indexing model from the issue text.