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okhttp/src/main/kotlin/okhttp3/MediaType.kt
* * [rfc_2045]: http://tools.ietf.org/html/rfc2045 */ class MediaType internal constructor( internal val mediaType: String, /** * Returns the high-level media type, such as "text", "image", "audio", "video", or "application". */ @get:JvmName("type") val type: String, /** * Returns a specific media subtype, such as "plain" or "png", "mpeg", "mp4" or "xml". */
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docs/compression/README.md
| `7z` | (7-Zip) | | `xz` | (LZMA) | | `mp4` | (MP4) | | `mkv` | (MKV media) | | `mov` | (MOV) | - Content-Types | `video/*` | | `audio/*` | | `application/zip` | | `application/x-gzip` | | `application/zip` | | `application/x-bz2` | | `application/x-compress` | | `application/x-xz` |
Plain Text - Registered: Sun May 05 19:28:20 GMT 2024 - Last Modified: Mon Mar 11 11:55:34 GMT 2024 - 5.1K bytes - Viewed (0) -
SECURITY.md
running the `tf.train.Server`. ## Untrusted inputs during training and prediction TensorFlow supports a wide range of input data formats. For example it can process images, audio, videos, and text. There are several modules specialized in taking those formats, modifying them, and/or converting them to intermediate formats that can be processed by TensorFlow.
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docs/en/docs/async.md
--- 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.
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docs/de/docs/async.md
--- 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.
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docs/es/docs/async.md
--- Ejemplos típicos de operaciones dependientes de CPU son cosas que requieren un procesamiento matemático complejo. Por ejemplo: * **Audio** o **procesamiento de imágenes**.
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docs/fr/docs/async.md
--- Des exemples communs d'opérations "CPU bounds" sont les procédés qui requièrent des traitements mathématiques complexes. Par exemple : * Traitements d'**audio** et d'**images**.
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okhttp/src/test/java/okhttp3/URLConnectionTest.kt
fun shoutcast() { server.enqueue( MockResponse.Builder() .status("ICY 200 OK") .addHeader("Accept-Ranges: none") .addHeader("Content-Type: audio/mpeg") .addHeader("icy-br:128") .addHeader("ice-audio-info: bitrate=128;samplerate=44100;channels=2") .addHeader("icy-br:128") .addHeader("icy-description:Rock") .addHeader("icy-genre:riders")
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RELEASE.md
`tf.keras.layers.EinsumDense`. * Added `tf.keras.utils.audio_dataset_from_directory` utility to easily generate audio classification datasets from directories of `.wav` files. * Added `subset="both"` support in `tf.keras.utils.image_dataset_from_directory`,`tf.keras.utils.text_dataset_from_directory`, and `audio_dataset_from_directory`, to be used with the
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docs/logging/README.md
MinIO also honors environment variable for Kafka target Audit logging as shown below, this setting will override the endpoint settings in the MinIO server config. ``` mc admin config set myminio/ audit_kafka --env KEY: audit_kafka[:name] send audit logs to kafka endpoints ARGS: MINIO_AUDIT_KAFKA_ENABLE* (on|off) enable audit_kafka target, default is 'off'
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