Les conteneurs (principalement les conteneurs Linux) sont un moyen très **léger** d'empaqueter des applications, y compris toutes leurs dépendances et les fichiers nécessaires, tout en les isolant des autres conteneurs (autres applications ou composants) dans le même système.

      - v2.**
  schedule:
    - cron: '0 2 * * *'

permissions:
  contents: read

jobs:
  build:
    if: github.repository == 'tensorflow/tensorflow' # Don't do this in forks
    runs-on: [self-hosted, linux, ARM64]
    strategy:
      matrix:
        pyver: ['3.10']
    steps:
      - name: Stop old running containers (if any)
        shell: bash
        run: |
          running_containers=$(docker ps -q) && \

Diese Umgebungsvariablen können nur Text-Zeichenketten verarbeiten, da sie außerhalb von Python liegen und mit anderen Programmen und dem Rest des Systems (und sogar mit verschiedenen Betriebssystemen wie Linux, Windows, macOS) kompatibel sein müssen.

Das bedeutet, dass jeder in Python aus einer Umgebungsvariablen gelesene Wert ein `str` ist und jede Konvertierung in einen anderen Typ oder jede Validierung im Code erfolgen muss.

## Managing hermetic Python

To make sure that TensorFlow's build is reproducible, behaves uniformly across
supported platforms (Linux, Windows, MacOS) and is properly isolated from
specifics of a local system, we rely on hermetic Python (see
[rules_python](https://github.com/bazelbuild/rules_python)) for all build
and test commands executed via Bazel. This means that your system Python
installation will be ignored during the build and Python interpreter itself

            param("teamcity.vcsTrigger.runBuildOnSameRevisionInEveryBranch", "false")
            param("env.DEVELOCITY_ACCESS_KEY", "%ge.gradle.org.access.key%;%gbt-td.grdev.net.access.key%")
            param("env.CHROME_BIN", "%linux.chrome.bin.path%")

            text(
                "additional.gradle.parameters",
                "",
                display = ParameterDisplay.NORMAL,
                allowEmpty = true,

Тож це була повністю додаткова система.

Зараз вона не дуже популярна або використовується.

## OpenAPI { #openapi }

OpenAPI (раніше відомий як Swagger) — це відкрита специфікація для побудови API (тепер частина Linux Foundation).

**FastAPI** базується на **OpenAPI**.

Саме це робить можливими кілька автоматичних інтерактивних інтерфейсів документації, генерацію коду тощо.

OpenAPI має спосіб визначати різні «схеми» безпеки.

export MINIO_ROOT_PASSWORD="minio123"

# Download AWS CLI
echo -n "Download and install AWS CLI"
rm -rf /usr/local/aws-cli || sudo rm -rf /usr/local/aws-cli
curl "https://awscli.amazonaws.com/awscli-exe-linux-x86_64.zip" -o "awscliv2.zip"
unzip -qq awscliv2.zip
./aws/install || sudo ./aws/install
echo "done"

# Add credentials to ~/.aws/credentials
if ! [ -d ~/.aws ]; then
	mkdir -p ~/.aws
fi

	echo "minio executable binary not found in current directory"
	exit 1
fi

function download_old_release() {
	if [ ! -f minio.RELEASE.2020-10-28T08-16-50Z ]; then
		curl --silent -O https://dl.minio.io/server/minio/release/linux-amd64/archive/minio.RELEASE.2020-10-28T08-16-50Z
		chmod a+x minio.RELEASE.2020-10-28T08-16-50Z
	fi
}

function verify_rewrite() {
	start_port=$1

	export MINIO_ACCESS_KEY=minio

    if: github.repository == 'tensorflow/tensorflow' && (github.event.action != 'labeled' || (github.event.action == 'labeled' && github.event.label.name == 'kokoro:force-run'))
    runs-on: [self-hosted, linux, ARM64]
    strategy:
      matrix:
        pyver: ['3.10']
    steps:
      - name: Stop old running containers (if any)
        shell: bash
        run: |
          running_containers=$(docker ps -q) && \

---
name: TensorFlow Lite Converter Issue
about: Use this template for reporting issues during model conversion to TFLite
labels: 'TFLiteConverter'

---

### 1. System information

- OS Platform and Distribution (e.g., Linux Ubuntu 16.04):
- TensorFlow installation (pip package or built from source):
- TensorFlow library (version, if pip package or github SHA, if built from source):

### 2. Code