allada

#[repr(u8)]
#[derive(Copy, Clone, Debug, PartialEq)]
enum PriorityActionStage {
    // Note: These are ordered by priority with the items that need to be
    // processed first at the top (highest number).
    Unknown = 0,
    CompletedFromCache = 1,
    Completed = 2,
    Executing = 3,

allada

Trace Machina Individual Contributor License Agreement

In order to clarify the intellectual property license granted with Contributions
from any person or entity, Trace Machina, Inc. ("Trace Machina") must have a
Contributor License Agreement ("CLA") on file that has been signed by each
Contributor, indicating agreement to the license terms below. This license is
for your protection as a Contributor as well as the protection of Trace
Machina; it does not change your rights to use your own Contributions for any
other purpose.

allada

diff --git a/Cargo.lock b/Cargo.lock
index e563095..c0e1fee 100644
--- a/Cargo.lock
+++ b/Cargo.lock
@@ -1915,6 +1915,7 @@ dependencies = [
  "serde_json5",
  "shlex",
  "tokio",
+ "tokio-fork",
  "tokio-stream",

allada

{
  "stores": {
    "AC_MAIN_STORE": {
      "fast_slow": {
        "fast": {
          "memory": {
            "eviction_policy": {
              "max_bytes": 1000000
            }
          }

allada

use blake3;
use sha2;
use rand;
use sha2::Digest;
use rand::RngCore;
use std::time::Duration;

const RUN_COUNT: usize = 10;
const HASH_DATA_SIZE: usize = 1024 * 1024 * 1024; // 1 GB

allada

TRAINING_DATA_DIR = glob(["training/**"]);

TRAINING_SIZE = 10000

[genrule(
  name = "sliced_training_" + i,
  srcs = TRAINING_DATA_DIR,
  outs = ["model_" + i + ".mdl"],
  cmd = "./$(location train.py) --save_mode_to $@",
  tools = ["train.py"],

allada

find .   -type f   -print0 | xargs -0 ls -l | awk '{print $5}' | \
awk '
#! /bin/env awk
  # PWLF Interpolation function, take a value, and two arrays for X & Y
function pwlf(x, ny) {
  return ny[int(length(ny) * x) / 100]
}

  # Read f Input in yy array, setup xx
{ yy[n] = $1  ; n++ }

allada

erigon_1     | [INFO] [06-27|23:25:30.866] [13/16 LogIndex] DONE                    in=14h58m10.810846887s
erigon_1     | [INFO] [06-27|23:25:30.884] [snapshots] Retire Blocks                range=18500k-19000k
erigon_1     | [INFO] [06-27|23:25:30.884] Timings (slower than 50ms)               Unwind HashState=51m23.87s Unwind Execution=51m34.323s Unwind Senders=211ms Unwind Headers=39.576s IntermediateHashes=1h35m59.714s CallTraces=9h18m10.893s AccountHistoryIndex=5h51m44.878s StorageHistoryIndex=22h43m40.543s LogIndex=14h58m10.81s
erigon_1     | panic: runtime error: invalid memory address or nil pointer dereference
erigon_1     | [signal SIGSEGV: segmentation violation code=0x1 addr=0x0 pc=0xe43fe9]
erigon_1     | 
erigon_1     | goroutine 52924266 [running]:
erigon_1     | github.com/ledgerwatch/erigon-lib/compress.(*Getter).nextPos(0xc110c54f50?, 0x47?)
erigon_1     | 	github.com/ledgerwatch/[email protected]/compress/decompress.go:312 +0x29
erigon_1     | github.com/ledgerwat

allada

#[derive(Clone, PartialEq, ::prost::Message)]
pub struct Bar {
    #[prost(bytes="bytes", tag="1")]
    pub bar: ::prost::bytes::Bytes,
}
/// Generated client implementations.
pub mod foo_client {
    #![allow(unused_variables, dead_code, missing_docs, clippy::let_unit_value)]
    use tonic::codegen::*;
    #[derive(Debug, Clone)]

allada

fatal error: concurrent map read and map write

goroutine 2197 [running]:
runtime.throw(0x15a54b3, 0x21)
	runtime/panic.go:774 +0x54 fp=0x402ffd01e0 sp=0x402ffd01b0 pc=0x446d3c
runtime.mapaccess2(0x1326760, 0x402933c960, 0x402ffd02f0, 0x282d140, 0x40ba090d00)
	runtime/map.go:470 +0x258 fp=0x402ffd0230 sp=0x402ffd01e0 pc=0x4259f0
github.com/ethereum/go-ethereum/trie.(*Database).commit(0x402feba000, 0x69ac0cabd078f198, 0xa9374ccefdd64cf4, 0x68d95ec392b54be3, 0x291993f7f835a42b, 0x1abb260, 0x420b665400, 0x0, 0x0, 0xa04ac27bb3efc701, ...)
	github.com/ethereum/go-ethereum@/trie/database.go:790 +0x64 fp=0x402ffd03d0 sp=0x402ffd0230 pc=0x74e01c
github.com/ethereum/go-ethereum/trie.(*Database).commit.func1(0x69ac0cabd078f198, 0xa9374ccefdd64cf4, 0x68d95ec392b54be3, 0x291993f7f835a42b)