{* ../../docs_src/settings/app02_an_py39/main.py hl[17,19:21] *}

### Einstellungen und Tests { #settings-and-testing }

Dann wäre es sehr einfach, beim Testen ein anderes Einstellungsobjekt bereitzustellen, indem man eine Abhängigkeitsüberschreibung für `get_settings` erstellt:

	globalIsErasure = false

	// Indicates if the running minio server is in single drive XL mode.
	globalIsErasureSD = false

	// Indicates if server code should go through testing path.
	globalIsTesting = false

	// This flag is set to 'true' by default
	globalBrowserEnabled = true

	// Custom browser redirect URL, not set by default
	// and it is automatically deduced.

// Sets XLA's minimum cluster size. This has global effect.
TF_CAPI_EXPORT void TF_SetXlaMinClusterSize(int size);

// Gets/Sets TF/XLA flag for whether(true) or not(false) to disable constant
// folding. This is for testing to ensure that XLA is being tested rather than
// Tensorflow's CPU implementation through constant folding.
TF_CAPI_EXPORT unsigned char TF_GetXlaConstantFoldingDisabled();
TF_CAPI_EXPORT void TF_SetXlaConstantFoldingDisabled(

## Create and Use Env Vars { #create-and-use-env-vars }

You can **create** and use environment variables in the **shell (terminal)**, without needing Python:

//// tab | Linux, macOS, Windows Bash

<div class="termy">

```console
// You could create an env var MY_NAME with
$ export MY_NAME="Wade Wilson"

This can be very useful for setting up **resources** that you need to use for the whole app, and that are **shared** among requests, and/or that you need to **clean up** afterwards. For example, a database connection pool, or loading a shared machine learning model.

- we need to deal with a shared context for plugins, like the guarded mojos
- we need to deal with plugins as core application logic which can also interact with plugins

* Along with this comes the testing strategies that make this work
* The repository model where plugins can be stored and cataloged
* Bridging this into an OSGi system: if this could be done then we can basically take over p2

TODO

pkg syscall (windows-amd64), type RawSockaddrAny struct, Pad [96]int8
pkg testing, func MainStart(func(string, string) (bool, error), []InternalTest, []InternalBenchmark, []InternalExample) *M
pkg testing, func MainStart(testDeps, []InternalTest, []InternalBenchmark, []InternalExample) *M
pkg testing, func RegisterCover(Cover)
pkg text/scanner, const GoTokens = 1012
pkg text/template/parse, type DotNode bool

A smaller CPU-only package is also available:

```
$ pip install tensorflow-cpu
```

To update TensorFlow to the latest version, add `--upgrade` flag to the above
commands.

*Nightly binaries are available for testing using the
[tf-nightly](https://pypi.python.org/pypi/tf-nightly) and
[tf-nightly-cpu](https://pypi.python.org/pypi/tf-nightly-cpu) packages on PyPI.*

#### *Try your first TensorFlow program*

```shell
$ python
```

        if (commandLine.hasOption(option)) {
            setting.accept(false);
        }
    }

    private void disableOnPresentOption(
            final CommandLine commandLine, final char option, final Consumer<Boolean> setting) {
        disableOnPresentOption(commandLine, String.valueOf(option), setting);
    }

	}
	return nil
}

// Store defines an interface for managing the caching operations of SQL statements (Stmt).
// This interface provides methods for creating new statements, retrieving all cache keys,
// getting cached statements, setting cached statements, and deleting cached statements.
type Store interface {
	// New creates a new Stmt object and caches it.
	// Parameters: