goncalossilva

<?xml version="1.0" encoding="UTF-8"?>
<SYSTEM>
    <GPU DevID="73BF" RevID="C0">
        <PPW Value="1"/>
        <FEATURE ID="100" Enabled="0">
            <STATES>
                <STATE ID="0" Enabled="False" Value="0"/>
            </STATES>
        </FEATURE>
        <FEATURE ID="101" Enabled="5">

goncalossilva

variant: fcos
version: 1.5.0
passwd:
  users:
    - name: core
      ssh_authorized_keys:
        - ssh-rsa ...
storage:
  disks:
    - device: /dev/disk/by-id/coreos-boot-disk

goncalossilva

>D

>BS

smlj=0
tper=60

=>sensor53 r

>S

goncalossilva

import json
from sentence_transformers import SentenceTransformer, CrossEncoder, util
from string import punctuation
import gzip
import os
import sys
import re
import torch

def index_markdown_files(dir_path):

goncalossilva

-------------------------------------
Translated Report (Full Report Below)
-------------------------------------

Process:               Electron [38612]
Path:                  /Users/USER/*/Electron.app/Contents/MacOS/Electron
Identifier:            com.github.Electron
Version:               16.0.6 (16.0.6)
Code Type:             ARM-64 (Native)
Parent Process:        Exited process [38611]

goncalossilva

import kotlin.random.Random
import kotlin.random.nextUBytes

@Suppress("UnnecessaryAbstractClass", "MagicNumber", "ComplexCondition")
abstract class UUID private constructor(private val random: Random = Random.Default) {
    constructor(seed: Int) : this(Random(seed))

    /**
     * From [RFC 4122](https://datatracker.ietf.org/doc/html/rfc4122), the UUID string
     * representation follows the structure:

goncalossilva

Goals
- Excellent performance
- Small library sizes
- Unbloated feature set
- OSS first and foremost

---

- On/off
- Percentage rollouts (X% true, Y% false)

goncalossilva

Engineering values

Our engineering values help us model our behavior, culture, and decision-making. They complement Doist's Core Values, guiding our approach to building and maintaining technology.

Continuous Improvement

We relentlessly pursue continuous improvement, and are adamant about regressions. We're skeptical of heroic efforts, focusing instead on steady steps towards defined goals.

We leave things better than how we found them, even if we don't own them. We frequently perform opportunistic refactors, automate, and prioritize the long term over the short term.

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This is true because software delivery is an exercise in continuous improvement, and our research shows that year over year the best keep getting better, and those who fail to improve fall further and further behind.

Page xxii | Preface

---

The most innovative companies and highest-performing organizations are always striving to be better and never consider themselves "mature" or "done" with their improvement or transformation journey—and we see this in our research.

Page 6, Chapter 1: Accelerate

goncalossilva

Positive reinforcement circles

4 metrics:
- Lead time
- Release frequency
- Time to restore
- Change fail rate

CD:
- Lowers lead time, increases release frequency, lowers time to restore