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Add Mordinal detection, tx fee, tx size
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commit
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1 changed files with 43 additions and 25 deletions
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@ -3,10 +3,11 @@
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library(data.table)
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current.height <- 2847180
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# 2847180 is last block of March 21, 2023
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current.height <- NA
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# current.height should be the most recent height that you want to collect data for
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stopifnot(!is.na(current.height))
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block.heights <- 1220516:current.height
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# 1220516 is hard fork height that allowed the first RingCT transactions
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# https://github.com/monero-project/monero#scheduled-softwarenetwork-upgrades
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@ -152,15 +153,42 @@ system.time({
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output.amounts <- sapply(tx.json$vout, FUN = function(x) {x$amount})
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tx_size_bytes <- ifelse(i == 1,
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nchar(rcp.ret$txs[[i]]$pruned_as_hex) / 2,
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nchar(rcp.ret$txs[[i]]$as_hex) / 2)
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# Coinbase has special structure
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# Reference:
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# https://libera.monerologs.net/monero-dev/20221231
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# https://github.com/monero-project/monero/pull/8691
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# https://github.com/monero-project/monero/issues/8311
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tx_fee <- ifelse(i == 1 || is.null(tx.json$rct_signatures), NA, tx.json$rct_signatures$txnFee)
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# missing non-RingCT tx fee
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is.mordinal <-
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height >= 2838965 &&
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length(tx.json$vout) == 2 &&
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i > 1 && # not the first tx, which is the coinbase tx
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length(tx.json$extra) > 44 &&
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tx.json$extra[45] == 16
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# With "&&", evaluates each expression sequentially until it is false (if ever). Then stops.
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# If all are TRUE, then returns true.
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output.index.collected[[i]] <- data.table(
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block_height = height,
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block_timestamp = block.data$block_header$timestamp,
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block_size = block.data$block_size,
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block_reward = block.data$reward,
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tx_num = i,
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tx_hash = txs.to.collect[i],
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tx_version = tx.json$version,
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tx_fee = tx_fee,
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tx_size_bytes = tx_size_bytes,
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output_num = seq_along(rcp.ret$txs[[i]]$output_indices),
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output_index = rcp.ret$txs[[i]]$output_indices,
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output_amount = output.amounts,
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output_unlock_time = tx.json$unlock_time)
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output_unlock_time = tx.json$unlock_time,
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is_mordinal = is.mordinal)
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if (i == 1L) { next }
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@ -233,41 +261,31 @@ setnames(rings, c("block_height", "block_timestamp"),
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output.index[, output_amount_for_index := ifelse(tx_num == 1, 0, output_amount)]
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output.index <- output.index[ !(tx_num == 1 & tx_version == 1), ]
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# Remove coinbase outputs that are ineligible for use in a RingCT ring
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# See https://libera.monerologs.net/monero-dev/20230323#c224570
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xmr.rings <- merge(rings, output.index[, .(block_height, block_timestamp, tx_num, output_num,
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output_index, output_amount, output_amount_for_index, output_unlock_time)],
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output_index, output_amount, output_amount_for_index, output_unlock_time, is_mordinal)],
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# only dont need tx_hash column from output.index
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by.x = c("input_amount", "output_index"),
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by.y = c("output_amount_for_index", "output_index")) #, all = TRUE)
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xmr.rings <- xmr.rings[input_amount == 0, ]
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# Remove non-RingCT rings
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xmr.rings[, num_times_referenced := .N, by = "output_index"]
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coinbase.ring.members <- xmr.rings[, .(n.coinbase.ring.members = sum(tx_num == 1), ring.size = .N),
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by = c("tx_hash", "input_num", "block_timestamp_ring")]
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coinbase.ring.members[, share.coinbase.ring.members := n.coinbase.ring.members/ring.size]
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coinbase.ring.members[, effective.ring.size := ring.size - n.coinbase.ring.members]
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coinbase.ring.members[, block_timestamp_ring.date := as.POSIXct(block_timestamp_ring, origin = "1970-01-01")]
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output.index.date <- unique(output.index[, .(block_timestamp = block_timestamp)])
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coinbase.ring.members.date <- unique(coinbase.ring.members[, .(block_timestamp_ring.date = block_timestamp_ring.date)])
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output.index.date[, block_date := as.Date(as.POSIXct(block_timestamp, origin = "1970-01-01"))]
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coinbase.ring.members.date[, block_timestamp_ring.date.isoweek :=
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paste(lubridate::isoyear(block_timestamp_ring.date),
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formatC(lubridate::isoweek(block_timestamp_ring.date), width = 2, flag = "0"), sep = "-")]
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coinbase.ring.members <- merge(coinbase.ring.members, coinbase.ring.members.date)
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output.index <- merge(output.index, output.index.date)
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# speed improvement by splitting and then merging
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coinbase.ring.members.stats <- coinbase.ring.members[, .(
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effective.ring.size.mean = as.numeric(mean(effective.ring.size)),
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effective.ring.size.median = as.numeric(median(effective.ring.size)),
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effective.ring.size.percentile.05 = as.numeric(quantile(effective.ring.size, probs = 0.05))
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# as.numeric() to make sure results of each "by" subset are all floats
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), by = "block_timestamp_ring.date.isoweek"]
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