esmarkowski

This chart shows a histogram of a log-normal distribution of time durations. The data is randomly generated: each value is a number representing a duration measured in minutes. The values are then binned at regular intervals using D3’s histogram layout. A custom tick format for the x-axis converts these numbers to dates before passing them through a d3.time.format. The x-axis uses a linear scale, such that the tick values appear in-between bars; this provides better indication that each bar represents the count of values between its surrounding tick values.

See also this histogram of an Irwin–Hall distribution.

esmarkowski

[{"age_range":"18-24","continent":"north_america","count":"131","country":"CA","gender":"female"},{"age_range":"13-17","continent":"north_america","count":"457","country":"US","gender":"female"},{"age_range":"13-17","continent":"north_america","count":"124","country":"US","gender":"male"},{"age_range":"18-24","continent":"north_america","count":"2498","country":"US","gender":"female"},{"age_range":"18-24","continent":"north_america","count":"1692","country":"US","gender":"male"},{"age_range":"25-34","continent":"north_america","count":"1631","country":"US","gender":"female"},{"age_range":"25-34","continent":"north_america","count":"1093","country":"US","gender":"male"},{"age_range":"35-44","continent":"north_america","count":"593","country":"US","gender":"female"},{"age_range":"35-44","continent":"north_america","count":"346","country":"US","gender":"male"},{"age_range":"45-54","continent":"north_america","count":"265","country":"US","gender":"female"},{"age_range":"45-54","continent":"north_america","count":

esmarkowski

var gulp         = require('gulp')
var path         = require('path')
var less         = require('gulp-less')
var autoprefixer = require('gulp-autoprefixer')
var sourcemaps   = require('gulp-sourcemaps')
var minifyCSS    = require('gulp-minify-css')
var rename       = require('gulp-rename')
var concat       = require('gulp-concat')
var uglify       = require('gulp-uglify')
var connect      = require('gulp-connect')

esmarkowski

require 'smartcard'

stop = false
until stop
  begin
    context = Smartcard::PCSC::Context.new
    if context.valid?
      readers = context.readers

      if readers.empty?

esmarkowski

Keybase proof

I hereby claim:

• I am esmarkowski on github.
• I am spemar (https://keybase.io/spemar) on keybase.
• I have a public key ASAS8nhvNwdkNEFoDrmBFa7sAoz7S92p0IeWfQyNrGarYQo

To claim this, I am signing this object:

esmarkowski

import torch
from torch import autocast
from diffusers import StableDiffusionPipeline

model_id = "CompVis/stable-diffusion-v1-4"
device = "cuda"


pipe = StableDiffusionPipeline.from_pretrained(model_id, use_auth_token=True)
pipe = pipe.to(device)

esmarkowski

version: '3'
services:
  opensearch-node1:
    image: opensearchproject/opensearch:latest
    container_name: opensearch-node1
    ulimits:
      memlock:
        soft: -1
        hard: -1
      nofile: