typing_extensions ~= 4.14.1
gast == 0.4.0
termcolor == 2.3.0
wrapt == 1.16.0
tblib == 2.0.0
ml_dtypes >= 0.5.1, < 0.6.0
auditwheel >= 6.1.0
# Install tensorboard, and keras
# Note that here we want the latest version that matches TF major.minor version
# Note that we must use nightly here as these are used in nightly jobs
# For release jobs, we will pin these on the release branch
keras-nightly ~= 3.10.0.dev
tb-nightly ~= 2.20.0.a

* `Decimal`:
    * Standard-Python-`Decimal`.
    * In Requests und Responses wird es wie ein `float` behandelt.
* Sie können alle gültigen Pydantic-Datentypen hier überprüfen: <a href="https://docs.pydantic.dev/latest/usage/types/types/" class="external-link" target="_blank">Pydantic data types</a>.

## Beispiel

Hier ist ein Beispiel für eine *Pfadoperation* mit Parametern, die einige der oben genannten Typen verwenden.

   
      * Try Google Colab to use TensorFlow.
         * The easiest way to use TF will be to switch to [google colab](https://colab.sandbox.google.com/notebooks/welcome.ipynb#recent=true). You get pre-installed latest stable TF version. Also you can use ```pip install```  to install any other preferred TF version.
         * It has an added advantage since you can you easily switch to different hardware accelerators (cpu, gpu, tpu) as per the task.

	}{
		// ToFileInfo with 'inclFreeVers = true' should return the latest
		// non-free version if one is present
		{
			vol:          newtierfi.Volume,
			name:         newtierfi.Name,
			inclFreeVers: true,
			afterFn:      xl.DeleteVersion,
			expectedFree: false,
		},
		// ToFileInfo with 'inclFreeVers = true' must return the latest free
		// version when no non-free versions are present.
		{

name: PyLint
on:
  pull_request:
    paths:
      - '**.py'

permissions:
  contents: read

jobs:
  build:
    name: PyLint
    runs-on: ubuntu-latest
    steps:
    - name: Checkout code
      uses: actions/checkout@08c6903cd8c0fde910a37f88322edcfb5dd907a8 # v5.0.0
    - name: Get file changes
      id: get_file_changes

		}
		db, err = gorm.Open(gaussdb.New(gaussdb.Config{
			DSN:                  dbDSN,
			PreferSimpleProtocol: true,
		}), cfg)
	case "sqlserver":
		// go install github.com/microsoft/go-sqlcmd/cmd/sqlcmd@latest
		// SQLCMDPASSWORD=LoremIpsum86 sqlcmd -U sa -S localhost:9930
		// CREATE DATABASE gorm;
		// GO
		// CREATE LOGIN gorm WITH PASSWORD = 'LoremIpsum86';
		// CREATE USER gorm FROM LOGIN gorm;

name: "Issue Labeler"
on:
  issues:
    types: [opened, edited, reopened]
  pull_request:
    types: [opened, edited, reopened]

jobs:
  triage:
    runs-on: ubuntu-latest
    name: Label issues and pull requests
    steps:
      - name: check out
        uses: actions/checkout@v4

      - name: labeler
        uses: jinzhu/super-labeler-action@develop
        with:

name: "Conflict detector"
on:
  push:
  pull_request_target:
    types: [synchronize]

jobs:
  main:
    permissions:
      contents: read
      pull-requests: write
    runs-on: ubuntu-latest
    steps:
      - name: Check if PRs have merge conflicts
        uses: eps1lon/actions-label-merge-conflict@v3
        with:
          dirtyLabel: "conflicts"
          repoToken: "${{ secrets.GITHUB_TOKEN }}"

#!/bin/bash

function download_arch_specific_executable {
	curl -f -L -s -q \
		https://github.com/moparisthebest/static-curl/releases/latest/download/curl-$1 \
		-o /go/bin/curl || exit 1
	chmod +x /go/bin/curl
}

case $TARGETARCH in
"arm64")
	download_arch_specific_executable aarch64
	;;
"s390x")
	echo "Not downloading static cURL because it does not exist for the $TARGETARCH architecture."
	;;
*)

  echo "Upgrading pyenv..."
  echo "Current pyevn version: $(pyenv --version)"

  # Check if pyenv is managed by homebrew. If so, update and upgrade pyenv.
  # Otherwise, install the latest pyenv from github.
  if command -v brew &> /dev/null && brew list pyenv &> /dev/null; then
    # On "ventura-slcn" VMs, pyenv is managed via Homebrew.
    echo "pyenv is installed and managed by homebrew."