I use the random generator Gen as provided by QuickCheck. I found this easier because usize can be copied around implicitly and I have no trouble with the borrow-checker. If it were sufficient to consume only single characters, I could use map and collect to build my vector. In QuickCheck you have to implement a generator for test inputs.

In the success case, it returns a parse tree and an index one-past the last token it consumed. The function to parse a summand looks very similar. This returns a Result. If it were sufficient to consume only single characters, I could use map and collect to build my vector. Anyway, the implementation is not difficult. In the success case, I want to check that the index returned indicates that we consumed all tokens. ParseLiteral implements matching against a "string" literal. I found this easier because usize can be copied around implicitly and I have no trouble with the borrow-checker. I use the random generator Gen as provided by QuickCheck. I also have to rely on the compiler to optimize the dead store away, or I waste some cycles. However, idiomatic code avoids structures that parse the same input repeatedly, so the use of [cache] is often not a performance win. The simplest thing for a deterministic parser like this is that pretty printing a parse tree and parsing the result again yields back the original tree. The main function looks like this. So that about wraps it up. This is now corrected. An operator rule beginning and ending with is an infix expression. So instead of complicated things with regular expressions. The error message is constructed using the format! Maybe I should do some calculations involving the ASCII value of c, or alternatively extract the whole number as a slice and parse that to be more efficient. This is normally str, but rust-peg handles input types through a series of traits. Lexing Usually one parses by first lexing the input and then constructing the parse tree. The match statement is really handy here, since I can specify multiple alternatives for the same case with and ranges of characters are also supported. As it is right now I have to create the node and change it afterwards to set the entry to a value that I want. Simple rules may also be faster to re-match than the additional cost of the hash table lookup and insert. I use map to attempt a parsing of the digit into an int only in the Some case without having to do another if let. Enums and match are very useful for this kind of project.

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