////

### 🎓 🆎

👆 💪 📣 🎓 🆎 🔢.

➡️ 💬 👆 ✔️ 🎓 `Person`, ⏮️ 📛:

```Python hl_lines="1-3"
{!../../docs_src/python_types/tutorial010.py!}
```

⤴️ 👆 💪 📣 🔢 🆎 `Person`:

```Python hl_lines="6"
{!../../docs_src/python_types/tutorial010.py!}
```

& ⤴️, 🔄, 👆 🤚 🌐 👨‍🎨 🐕‍🦺:

#include "tensorflow/core/common_runtime/graph_constructor.h"
#include "tensorflow/core/common_runtime/shape_refiner.h"
#include "tensorflow/core/framework/function.h"
#include "tensorflow/core/framework/tensor.h"
#include "tensorflow/core/framework/tensor_shape.h"
#include "tensorflow/core/graph/graph.h"
#include "tensorflow/core/graph/node_builder.h"
#include "tensorflow/core/platform/mutex.h"

   * identical inputs: This sounds like it ought to be a problem here, since the goals of this class
   * include testing that {@code equals()} is reflexive and is tolerant of {@code null}. However,
   * there's no problem. The reason: {@link EqualsTester} tests {@code null} and identical inputs
   * directly against {@code equals()} rather than through the {@code Equivalence}.
   */
  private final Equivalence<? super T> equivalence;

	Claims             map[string]interface{} `json:"claims"`
}

// AuthNErrorResponse - represents an error response from the authN plugin.
type AuthNErrorResponse struct {
	Reason string `json:"reason"`
}

// AuthNResponse - represents a result of the authentication operation.
type AuthNResponse struct {
	Success *AuthNSuccessResponse
	Failure *AuthNErrorResponse
}

const (

  }

  // Wrapper of EnumMultiset factory methods, because we need to skip create(Class).
  // create(Enum1.class) is equal to create(Enum2.class) but testEquals() expects otherwise.
  // For the same reason, we need to skip create(Iterable, Class).
  private static class EnumMultisetFactory {
    @Keep // used reflectively by testEquals
    public static <E extends Enum<E>> EnumMultiset<E> create(Iterable<E> elements) {

  TFE_TensorHandle* h0_task0 = TestMatrixTensorHandle(ctx);
  TFE_TensorHandle* h1_task0 = TestMatrixTensorHandle(ctx);
  std::vector<TFE_TensorHandle*> handles_task0;
  if (heavy_load_on_streaming_rpc) {
    // Send 50 tensor copy requests to simulate that there have been some RPC
    // requests been enqueued.
    for (int i = 0; i < 50; ++i) {
      handles_task0.push_back(TestMatrixTensorHandle(ctx));
    }
  }

Dan krijg je ook nog eens volledige editorondersteuning:

<img src="/img/python-types/image06.png">

Merk op dat dit betekent dat "`one_person` een **instantie** is van de klasse `Person`".

Dit betekent niet dat `one_person` de **klasse** is met de naam `Person`.

## Pydantic modellen

<a href="https://docs.pydantic.dev/" class="external-link" target="_blank">Pydantic</a> is een Python-pakket voor het uitvoeren van datavalidatie.

			t.Errorf("Test %d: %s: Expected to fail with <ERROR> \"%s\", but passed instead.", i+1, instanceType, testCase.expectedError.Error())
		}
		// Failed as expected, but does it fail for the expected reason.
		if actualErr != nil && !testCase.shouldPass {
			if testCase.expectedError.Error() != actualErr.Error() {

	cacheStmt := Stmt{Transaction: isTransaction, prepared: make(chan struct{})}
	db.Stmts[query] = &cacheStmt
	db.Mux.Unlock()

	// prepare completed
	defer close(cacheStmt.prepared)

	// Reason why cannot lock conn.PrepareContext
	// suppose the maxopen is 1, g1 is creating record and g2 is querying record.
	// 1. g1 begin tx, g1 is requeue because of waiting for the system call, now `db.ConnPool` db.numOpen == 1.

  }

  /**
   * Just like fail(reason), but additionally recording (using threadRecordFailure) any
   * AssertionFailedError thrown, so that the current testcase will fail.
   */
  public void threadFail(String reason) {
    try {
      fail(reason);
    } catch (AssertionFailedError t) {
      threadRecordFailure(t);
      fail(reason);
    }
  }

  /**