`self.heap_array` or `_insert`- `i`: `if`, `import`, variable `i`- `st`: `self.ancestor`, `list`, `str`- `ro`: `self.root`- `m`: `self.heapify_down`, `m.root`- `h`: `self.heapify_down`, `self.parent(i)`, `while`, `def` or recursive calls `a(h)`Let's look at them as part of keywords or identifiers related to data structures.- `self.heap_array`- `self.heapify_up`- `self.heapify_down`- `self.root`- `def h`- `def i`The `TOKENS_AFTER_MAX_ACTIVATING_TOKEN` are: `array`, `x`, `or`, `ot`, `ot`, `.`, `=`, `)`, `)`, `)`Context of `ro`: `self. ★ro★ot = f` or `self. ★ro★ot = a(b)`. The token after `ro` is `ot`. Together it forms `root`.Context of `h`: `a(★h★)`. The token after `h` is `)`. This suggests function calls or variable accesses like `a(h)`.Context of `m`: `★m★.root.right.right = a('str')`. Token after `m` is `.`. This is accessing an attribute.The majority of the `MAX_ACTIVATING_TOKENS` and their surrounding context point towards common variable names and identifiers within Python classes, particularly for data structures like heaps and trees.`self.heap_array`, `self.root`, `self.ancestor`, `a(h)` (recursive call argument), `m.root` (object attribute access).The pattern `self.` followed by an identifier, or common function/variable names `root`, `heap_array`, `ancestor`, `h`, or `m` for object instances."self" attribute access or common identifiers
