check(state == STATE_OPEN_RESPONSE_BODY) { "state: $state" }
    state = STATE_READING_RESPONSE_BODY
    return FixedLengthSource(length)
  }

  private fun newChunkedSource(url: HttpUrl): Source {
    check(state == STATE_OPEN_RESPONSE_BODY) { "state: $state" }
    state = STATE_READING_RESPONSE_BODY
    return ChunkedSource(url)
  }

  private fun newUnknownLengthSource(): Source {

            false, false, false, "keyword", 0, 0, null, null, false, null, null, null, null, null, false);
    protected final ColumnInfo _columnReading = cci("reading", "reading", null, null, String.class, "reading", null, false, false, false,
            "keyword", 0, 0, null, null, false, null, null, null, null, null, false);

            }, this::asEditHtml);
        }
        if (form.segmentation != null && form.reading != null && form.segmentation.split(" ").length != form.reading.split(" ").length) {
            throwValidationError(messages -> {
                messages.addErrorsInvalidKuromojiSegmentation("segmentation", form.segmentation, form.reading);
            }, this::asEditHtml);
        }
    }

                    } else if (StringUtil.isBlank(reading) && StringUtil.isBlank(boost)) {
                        elevateWordBhv.delete(elevateWord);
                        final String id = elevateWord.getId();
                        elevateWordToLabelBhv.queryDelete(cb -> cb.query().setElevateWordId_Equal(id));
                    } else {
                        elevateWord.setReading(reading);

### Create Pydantic *models* / schemas for reading / returning

Now create Pydantic *models* (schemas) that will be used when reading data, when returning it from the API.

For example, before creating an item, we don't know what will be the ID assigned to it, but when reading it (when returning it from the API) we will already know its ID.

    // streams. Buffers are retained in a deque so that there's no copying between buffers while
    // reading and so all of the bytes in each new allocated buffer are available for reading from
    // the stream.
    for (int bufSize = initialBufferSize;
        totalLen < MAX_ARRAY_LEN;
        bufSize = IntMath.saturatedMultiply(bufSize, bufSize < 4096 ? 4 : 2)) {

### Creating the `Settings` only once with `lru_cache`

Reading a file from disk is normally a costly (slow) operation, so you probably want to do it only once and then re-use the same settings object, instead of reading it for each request.

But every time we do:

```Python
Settings()
```

	// ensure that this error is sticky.
	err error
}

type fileReader interface {
	io.Reader
	fileState

	WriteTo(io.Writer) (int64, error)
}

// NewReader creates a new [Reader] reading from r.
func NewReader(r io.Reader) *Reader {
	return &Reader{r: r, curr: &regFileReader{r, 0}}
}

// Next advances to the next entry in the tar archive.

     * builds an empty map.
     *
     * <p>If the {@code resolve} parameter value is {@code false}, then some or all map values may
     * be null instead of the actual module name. This option can avoid the cost of reading module
     * descriptors when only the modules existence needs to be verified.</p>
     *
     * <p><b>Algorithm:</b>
     * If the given path is a directory, then there is a choice:
     * </p>
     * <ul>

  var complete = (upstream == null)

  /** The most recently read bytes from [upstream]. This is a suffix of [file]. Guarded by this. */
  val buffer = Buffer()

  /**
   * Reference count of the number of active sources reading this stream. When decremented to 0
   * resources are released and all following calls to [.newSource] return null. Guarded by this.
   */
  var sourceCount = 0

  val isClosed: Boolean
    get() = file == null