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Automatically merged updates to draft EIP(s) 615 (#2044) 

Hi, I'm a bot! This change was automatically merged because:

 - It only modifies existing Draft or Last Call EIP(s)
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Brooklyn Zelenka 2019-05-17 09:31:59 -07:00 committed by EIP Automerge Bot
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commit a1ff047fab
1 changed files with 14 additions and 14 deletions
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@ -290,7 +290,7 @@ All of the remaining conditions we validate statically.
#### Costs & Codes
All of the instructions are `O(1)` with a small constant, requiring just a few machine operations each, whereas a `JUMP` or `JUMPI` must do an O(log n) binary search of an array of `JUMPDEST` offsets before every jump. With the cost of `JUMPI` being _high_ and the cost of `JUMP` being _mid_, we suggest the cost of `JUMPV` and `JUMPSUBV` should be _mid_, `JUMPSUB` and `JUMPIF` should be _low_, and`JUMPTO` and the rest should be _verylow_. Measurement will tell.
All of the instructions are `O(1)` with a small constant, requiring just a few machine operations each, whereas a `JUMP` or `JUMPI` must do an `O(log n)` binary search of an array of `JUMPDEST` offsets before every jump. With the cost of `JUMPI` being _high_ and the cost of `JUMP` being _mid_, we suggest the cost of `JUMPV` and `JUMPSUBV` should be _mid_, `JUMPSUB` and `JUMPIF` should be _low_, and`JUMPTO` and the rest should be _verylow_. Measurement will tell.
We suggest the following opcodes:
```
@ -390,7 +390,7 @@ Note that code like this is already run by EVMs to check dynamic jumps, includin
#### Subroutine Validation
This function can be seen as a symbolic execution of a subroutine in the EVM code, where only the effect of the instructions on the state being validated is computed. Thus the structure of this function is very similar to an EVM interpreter. This function can also be seen as an acyclic traversal of the directed graph formed by taking instructions as vertexes and sequential and branching connections as edges, checking conditions along the way. The traversal is accomplished via recursion, and cycles are broken by returning when a vertex which has already been visited is reached. The time complexity of this traversal is `O(|E|+|V|): The sum of the number of edges and number of verticies in the graph.
This function can be seen as a symbolic execution of a subroutine in the EVM code, where only the effect of the instructions on the state being validated is computed. Thus the structure of this function is very similar to an EVM interpreter. This function can also be seen as an acyclic traversal of the directed graph formed by taking instructions as vertexes and sequential and branching connections as edges, checking conditions along the way. The traversal is accomplished via recursion, and cycles are broken by returning when a vertex which has already been visited is reached. The time complexity of this traversal is `O(|E|+|V|)`: The sum of the number of edges and number of verticies in the graph.
The basic approach is to call `validate_subroutine(i, 0, 0)`, for `i` equal to the first instruction in the EVM code through each `BEGINDATA` offset. `validate_subroutine()` traverses instructions sequentially, recursing when `JUMP` and `JUMPI` instructions are encountered. When a destination is reached that has been visited before it returns, thus breaking cycles. It returns true if the subroutine is valid, false otherwise.