### Key Features

- **Multi-Protocol Support**: HTTP/HTTPS, File System, FTP, SMB/CIFS, Cloud Storage (MinIO, S3)
- **Comprehensive Content Extraction**: Office documents, PDFs, archives, images, audio/video files
- **Multi-Threading**: Configurable thread pools for high-performance crawling
- **Fault Tolerance**: Built-in retry mechanisms and error handling

        // Test with various MIME types
        String[] supportedTypes = { "application/pdf", "image/jpeg", "image/png" };
        String[] unsupportedTypes = { "text/plain", "application/xml", "audio/mp3" };

        for (String mimeType : supportedTypes) {
            Map<String, Object> docMap = new HashMap<>();
            docMap.put("mimetype", mimeType);

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Exemplos comuns de operações limitadas por CPU são coisas que exigem processamento matemático complexo.

Por exemplo:

* **Processamento de áudio** ou **imagem**
* **Visão Computacional**: uma imagem é composta por milhões de pixels, cada pixel tem 3 valores / cores, processar isso normalmente exige alguma computação em todos esses pixels ao mesmo tempo

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Des exemples communs d'opérations "CPU bounds" sont les procédés qui requièrent des traitements mathématiques complexes.

Par exemple :

* Traitements d'**audio** et d'**images**.

---

Ejemplos comunes de operaciones limitadas por la CPU son cosas que requieren procesamiento matemático complejo.

Por ejemplo:

* **Procesamiento de audio** o **imágenes**.
* **Visión por computadora**: una imagen está compuesta de millones de píxeles, cada píxel tiene 3 valores / colores, procesar eso normalmente requiere calcular algo en esos píxeles, todos al mismo tiempo.

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Typische Beispiele für CPU-lastige Vorgänge sind Dinge, die komplexe mathematische Berechnungen erfordern.

Zum Beispiel:

* **Audio-** oder **Bildbearbeitung**.
* **Computer Vision**: Ein Bild besteht aus Millionen von Pixeln, jedes Pixel hat 3 Werte / Farben, die Verarbeitung erfordert normalerweise, Berechnungen mit diesen Pixeln durchzuführen, alles zur gleichen Zeit.

---

Common examples of CPU bound operations are things that require complex math processing.

For example:

* **Audio** or **image processing**.
* **Computer vision**: an image is composed of millions of pixels, each pixel has 3 values / colors, processing that normally requires computing something on those pixels, all at the same time.

*   Add var name to errors on variable restore.
*   Added an AudioSpectrogram op for audio feature generation.
*   Added `reduction` arg to losses.
*   `tf.placeholder` can represent scalar shapes and partially known.
*   Remove estimator_spec(mode) argument.
*   Added an AudioSpectrogram op for audio feature generation.
*   TensorBoard disables all runs by default if there are more than 40 runs.