will have to make sure that it's a single process running those previous steps *even* if afterwards, you start **multiple processes** (multiple workers) for the application itself. If those steps were run by **multiple processes**, they would **duplicate** the work by running it on **parallel**, and if the steps were something delicate like a database migration, they could cause conflicts with each other.

Of course, there are some cases where there's no problem in running the previous...

        // Collect original declarations from the context files
        val collectingVisitor = IrDeclarationMappingCollectingVisitor()
        irOrdinaryFiles.forEach { it.acceptVoid(collectingVisitor) }

        // Replace duplicate symbols with the original ones
        val patchingVisitor = IrDeclarationPatchingVisitor(collectingVisitor.mappings)
        irCodeFragmentFiles.forEach { it.acceptVoid(patchingVisitor) }
    }

    ```

Jetzt, selbst wenn Sie einen Request mit duplizierten Daten erhalten, werden diese zu einem Set eindeutiger Dinge konvertiert.

Und wann immer Sie diese Daten ausgeben, selbst wenn die Quelle Duplikate hatte, wird es als Set von eindeutigen Dingen ausgegeben.

Und es wird entsprechend annotiert/dokumentiert.

## Verschachtelte Modelle

Jedes Attribut eines Pydantic-Modells hat einen Typ.

## 0.9.1

* Document receiving [Multiple values with the same query parameter](https://fastapi.tiangolo.com/tutorial/query-params-str-validations/#query-parameter-list-multiple-values) and [Duplicate headers](https://fastapi.tiangolo.com/tutorial/header-params/#duplicate-headers). PR [#95](https://github.com/tiangolo/fastapi/pull/95).

## 0.9.0

* Upgrade compatible Pydantic version to `0.21.0`. PR [#90](https://github.com/tiangolo/fastapi/pull/90).

    # copybara:uncomment default_applicable_licenses = ["//tensorflow:license"],
    licenses = ["notice"],
)

# Currently pybind extension shared objects must use only C API headers since
# the C API has static initializers duplicated in the Python bindings. So we
# need a second rule that omits .cc files, in
# tensorflow/python:_pywrap_parallel_device.
filegroup(
    name = "lib_headers",
    srcs = ["parallel_device_lib.h"],
)

filegroup(

Unfortunately, there is a much rarer second possible failure mode: the replication controller gets renamed to the old name, but there is a duplicated set of pods in the cluster. kubectl will not report an error since it thinks its job is done.

* `frozenset`:
    * Wird in Requests und Responses wie ein `set` behandelt:
        * Bei Requests wird eine Liste gelesen, Duplikate entfernt und in ein `set` umgewandelt.
        * Bei Responses wird das `set` in eine `list`e umgewandelt.
        * Das generierte Schema zeigt an, dass die `set`-Werte eindeutig sind (unter Verwendung von JSON Schemas `uniqueItems`).

- kube-proxy: a configuration file specified via `--config` is now loaded with strict deserialization, which fails if the config file contains duplicate or unknown fields. This protects against accidentally running with config files that are malformed, mis-indented, or have typos in field names, and getting unexpected behavior. ([#82927](https://github.com/kubernetes/kubernetes/pull/82927), [@ob...

  // This will be appended to the base nameservers generated from DNSPolicy.
  // Duplicated nameservers will be removed.
  // +optional
  repeated string nameservers = 1;

  // A list of DNS search domains for host-name lookup.
  // This will be appended to the base search paths generated from DNSPolicy.
  // Duplicated search paths will be removed.
  // +optional
  repeated string searches = 2;

- Fixed a regression in default configurations, which enabled PodDisruptionConditions by default, 
  that prevented the control plane's pod garbage collector from deleting pods that contained duplicated field keys (env. variables with repeated keys or container ports). ([#121380](https://github.com/kubernetes/kubernetes/pull/121380), [@mimowo](https://github.com/mimowo)) [SIG Apps, Auth, Scheduling and Testing]