execute ->> code: return the result
    end

    rect rgba(0, 255, 255, .1)
        code ->> function: say_hi(name="Camila")
        function ->> code: return stored result
    end

    rect rgba(0, 255, 0, .1)
        code ->> function: say_hi(name="Rick")
        function ->> execute: execute function code
        execute ->> code: return the result
    end

    rect rgba(0, 255, 0, .1)

    final char[] array;
    final int start;
    final int end;

    CharArrayAsList(char[] array) {
      this(array, 0, array.length);
    }

    CharArrayAsList(char[] array, int start, int end) {
      this.array = array;
      this.start = start;
      this.end = end;
    }

    @Override
    public int size() {
      return end - start;
    }

    @Override

    final float[] array;
    final int start;
    final int end;

    FloatArrayAsList(float[] array) {
      this(array, 0, array.length);
    }

    FloatArrayAsList(float[] array, int start, int end) {
      this.array = array;
      this.start = start;
      this.end = end;
    }

    @Override
    public int size() {
      return end - start;
    }

    @Override

    final double[] array;
    final int start;
    final int end;

    DoubleArrayAsList(double[] array) {
      this(array, 0, array.length);
    }

    DoubleArrayAsList(double[] array, int start, int end) {
      this.array = array;
      this.start = start;
      this.end = end;
    }

    @Override
    public int size() {
      return end - start;
    }

    @Override

    end
    style core fill:#c2e0f4,stroke:#3498db,stroke-width:2px,color:#000;

    documentation["documentation module"]
    style documentation stroke:#1abc9c,fill:#b1f4e7,stroke-width:2px,color:#000;

    ide["ide module"]
    style ide stroke:#1abc9c,fill:#b1f4e7,stroke-width:2px,color:#000;

    subgraph software["software platform"]
    end

- Provide links to your updated versions of the above two colab notebooks.
- Provide links to your TensorFlow model and (optionally) TensorFlow Lite Model.
```

#### Option B: Paste your code here or provide a link to a custom end-to-end colab

```
(You can paste links or attach files by dragging & dropping them below)
- Include code to invoke the TFLite Converter Python API and the errors.

        var truncated: Boolean
        var end: Long
        if (outFramesIterator.hasNext()) {
          nextOutFrame = outFramesIterator.next()
          end = nextOutFrame.start
          truncated = false
        } else {
          end = outBytes.size.toLong()
          truncated = nextOutFrame.truncated
        }

        // Write a frame.
        val length = (end - start).toInt()

    get() = "chunked".equals(header("Transfer-Encoding"), ignoreCase = true)

  /**
   * Trailers received when the response body became exhausted.
   *
   * If the response body was successfully read until the end, this is the headers that followed,
   * or empty headers if there were none that followed.
   *
   * If the response body was closed prematurely or failed with an error, this will be the sentinel

    end

    rect rgba(0, 255, 0, .1)
        code ->> function: say_hi(name="Rick", salutation="Mr.")
        function ->> execute: führe Code der Funktion aus
        execute ->> code: gib das Resultat zurück
    end

    rect rgba(0, 255, 255, .1)
        code ->> function: say_hi(name="Rick")
        function ->> code: gib das gespeicherte Resultat zurück
    end

### Build state

The "build state" holds the state for a build within the build definition for a single build execution, and is contained by the build tree state.

The build state is managed by the `BuildState` class.
An instance is created for each build in the build definition, once per build execution and is discarded at the end of the execution.