mrsndmn

let stringify = require('json-stable-stringify');  //  canonical json implementation
let md5 = require('md5');
let base64 = require('base-64');
let sha1 = require('sha1');

let amount = 1;
let merch_data = {
  amount: amount,
  order_id: ++last_order_id,
  currency: "RUB",

mrsndmn

gcamm() {
  local b="$(git_current_branch)"
  local task="$(perl -E 'print( (split /\./, $ARGV[0], 2)[0] )' $b)"
  echo $task
  [[ "$task" != "" ]] && git commit --verbose -am "$task $1"
}


gcmm() {
  local b="$(git_current_branch)"

mrsndmn

setw -g mode-keys vi

# remap prefix from 'C-b' to 'C-a'
unbind C-b
set-option -g prefix C-a
bind-key C-a send-prefix

# unbind shift and ctl

mrsndmn

use Devel::REPL;
my $repl = Devel::REPL->new;                               
$repl->load_plugin($_) for qw(
  History LexEnv DDS PPI DDP
  Completion
  CompletionDriver::INC
  CompletionDriver::Keywords
  CompletionDriver::Methods
  
  Editor

mrsndmn

=head1 install deps
    cpm install AnyEvent::HTTP LWP::Protocol::Coro::http

=head1 bench result
Rate aehttp_socks       aehttp       my_lwp    state_lwp
aehttp_socks 183/s           --          -1%          -6%         -17%
aehttp       185/s           1%           --          -5%         -16%
my_lwp       195/s           6%           5%           --         -12%
state_lwp    221/s          20%          19%          13%           --

mrsndmn

go test -v -bench=BenchmarkIteratorNext -benchmem
...
BenchmarkIteratorNext-8          2000732               576 ns/op               8 B/op          0 allocs/op



go test -v -bench=BenchmarkIteratorNext -benchmem -cpuprofile=cpu.out -memprofile=mem.out -memprofilerate=1
...
BenchmarkIteratorNext-8           513028              2746 ns/op               8 B/op          1 allocs/op

mrsndmn

import random
from ctypes import CDLL

libc = CDLL("libc.so.6")

asciiRange = 0x7E - 0x20

ans = []

with open("ctf.in110", 'r') as f:

mrsndmn

package main

import (
	errors "errors"
	"fmt"
	"testing"

	pkgerrors "github.com/pkg/errors"

	"github.com/ansel1/merry"

mrsndmn

from team_code.generate import get_ppl, generate_text, setup_model_and_tokenizer

def test_generate_text_get_ppl():

    model, tokenizer = setup_model_and_tokenizer()

    queries = [
        [{"type": "text", "content": "What is the capital of Great Britain?"}],
        [{"type": "text", "content": "And what is the famous place there?"}]
    ]