Started cleaning up fork choice rule definition
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@ -337,15 +337,15 @@ Beacon block production is significantly different because of the proof of stake
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### Beacon chain fork choice rule
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The beacon chain uses a hybrid fork choice rule that combines together FFG justification/finality with latest-message-driven GHOST.
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The beacon chain fork choice rule is a hybrid that combines justification and finality with Latest Message Driven (LMD) GHOST. At any point in time a validator `v` calculates the head as follows.
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The following is a description of how to calculate the head at any given point in time.
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1. Set `finalized_head` to the finalized block with the highest slot number (as in, the block B with the highest slot number such that there exists a descendant of B the processing of which set B as finalized)
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2. Set `justified_head` be the descendant of `finalized_head` that is justified, and has been known to be justified for at least `SLOT_DURATION * CYCLE_LENGTH` seconds, with the highest slot number (as in, the block B with the highest slot number such that there exists a descendant of B the processing of which set B as justified; if no such block exists, then it is just set to the `finalized_head`)
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3. Return `LMD_GHOST(store, justified_head)`, where `store` contains all attestations and blocks that the validator has received, including those that have not been included in any chain.
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Let `get_most_recent_attestation_target(store, v)` be a function that returns the block that a validator attested to in the attestation in `store` with the highest slot number; only attestations pointing to blocks that the validator has verified (including recursively verifying ancestors) are considered. If more than one attestation exists in the same slot, `get_most_recent_attestation_target` should return the attestation that the client learned about earlier. Let `get_ancestor(store, block, slot)` be the function that returns the ancestor of the given block at the given slot; it could be defined recursively as `def get_ancestor(store, block, slot): return block if block.slot == slot else get_ancestor(store, store.get_parent(block), slot)`. LMD GHOST is defined as follows:
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* Let `store` be the set of all attestations and blocks that the validator `v` has verified (in particular, ancestors must be recursively verified), including attestations not included in any chain.
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* Let `finalized_head` be the finalized block with the highest slot number. (A block `B` is finalized if there is a descendant of `B` in `store` the processing of which sets `B` as finalized.)
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* Let `justified_head` be the descendant of `finalized_head` with the highest slot number that has been justified for at least `CYCLE_LENGTH` slots. (A block `B` is justified is there is a descendant of `B` in `store` the processing of which sets `B` as justified.) If no such descendant exists set `justified_head` to `finalized_head`.
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* Let `get_most_recent_attestation(store, validator)` be the attestation in `store` from `validator` with the highest slot number. If several such attestations exist use the one the validator `v` verified first.
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* Let `get_most_recent_attestation_target(store, validator)` be the target block in `get_most_recent_attestation(store, validator)`.
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* Let `get_ancestor(store, block, slot)` be the ancestor of `block` with slot number `slot`. The `get_ancestor` function can be defined recursively as `def get_ancestor(store, block, slot): return block if block.slot == slot else get_ancestor(store, store.get_parent(block), slot)`.
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* The head is `lmd_ghost(store, justified_head)` where the function `lmd_ghost` is defined below. Note that the implementation below is suboptimal; there are implementations that compute the head in logarithmic time.
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```python
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def lmd_ghost(store, start):
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@ -363,8 +363,6 @@ def lmd_ghost(store, start):
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head = max(c, key=get_vote_count)
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```
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Note that the above is a definition, not an optimal implementation; implementations that determine the head in logarithmic time are possible.
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## Beacon chain state transition function
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We now define the state transition function. At the high level, the state transition is made up of two parts:
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