found := make(map[string]struct{}, len(d.Cache))

	// Mark all children recursively
	var mark func(entry dataUsageEntry)
	mark = func(entry dataUsageEntry) {
		for k := range entry.Children {
			found[k] = struct{}{}
			if ch, ok := d.Cache[k]; ok {
				mark(ch)
			}
		}
	}
	found[top] = struct{}{}
	mark(*topE)

	// Delete all entries not found.
	for k := range d.Cache {

        }
      }
    }

    /**
     * Removes an entry from within a table. All entries following the removed node can stay, but
     * all preceding ones need to be cloned.
     *
     * <p>This method does not decrement count for the removed entry, but does decrement count for
     * all partially collected entries which are skipped. As such callers which are modifying count

# Debugging

You can connect the debugger in your editor, for example with Visual Studio Code or PyCharm.

## Call `uvicorn`

In your FastAPI application, import and run `uvicorn` directly:

```Python hl_lines="1  15"
{!../../docs_src/debugging/tutorial001.py!}
```

### About `__name__ == "__main__"`

The main purpose of the `__name__ == "__main__"` is to have some code that is executed when your file is called with:

    ListeningScheduledExecutorService executor = TestingExecutors.noOpScheduledExecutor();
    taskDone = false;
    Callable<Boolean> task =
        new Callable<Boolean>() {
          @Override
          public Boolean call() {
            taskDone = true;
            return taskDone;
          }
        };
    List<Future<Boolean>> futureList = executor.invokeAll(ImmutableList.of(task), 10, MILLISECONDS);

With SQLModel, we can use **inheritance** to **avoid duplicating** all the fields in all the cases.

#### `HeroBase` - the base class

Let's start with a `HeroBase` model that has all the **fields that are shared** by all the models:

* `name`
* `age`

{* ../../docs_src/sql_databases/tutorial002_an_py310.py ln[7:9] hl[7:9] *}

				cr := newReader(bytes.NewBuffer(in.input))
				all := dst[:0]
				err := func() error {
					// Read all records until EOF or another error.
					for {
						record, err := cr.Read()
						if err == io.EOF {
							return nil
						}
						if err != nil {
							return errCSVParsingError(err)
						}
						var recDst []string
						if len(dst) > len(all) {
							recDst = dst[len(all)]
						}

But you can have thousands of endpoints (*path operations*) using the same security system.

And all of them (or any portion of them that you want) can take advantage of re-using these dependencies or any other dependencies you create.

And all these thousands of *path operations* can be as small as 3 lines:

//// tab | Python 3.10+

    credentials:
      accessKey: minioadmin
      secretKey: minioadmin
    # sessionToken: SESSION-TOKEN # Optional only available when rotating credentials are used

  # NOTE: All flags are optional
  # - filtering criteria only applies for all source objects match the criteria
  # - configurable notification endpoints
  # - configurable retries for the job (each retry skips successfully previously replaced objects)
  flags:
    filter:

That way I could find the best ways to reduce code duplication as much as possible, to have completion everywhere, type and error checks, etc.

All in a way that provided the best development experience for all the developers.

## Requirements

    assumeNetwork()

    val request = Request("https://www.google.com/robots.txt".toHttpUrl())

    val networkRequest =
      request.newBuilder()
        .build()

    val call = client.newCall(networkRequest)

    call.execute().use { response ->
      assertThat(response.code).isEqualTo(200)
      assertThat(response.cacheResponse).isNull()
    }

    val cachedCall = client.newCall(request)