--@local_config_cuda//cuda:include_cuda_libs=false \
    --repo_env=HERMETIC_CUDA_VERSION="12.3.2" \
    --repo_env=HERMETIC_CUDNN_VERSION="8.9.7.29" \
    --repo_env=HERMETIC_NCCL_VERSION="2.27.7" \
    --define framework_shared_object=false \
    "somepath(//tensorflow/tools/pip_package:wheel, " \
    "@local_config_cuda//cuda:cudart + "\
    "@local_config_cuda//cuda:cudart + "\
    "@local_config_cuda//cuda:cuda_driver + "\

!function(e,t){"object"==typeof exports&&"undefined"!=typeof module?module.exports=t():"function"==typeof define&&define.amd?define(t):(e="undefined"!=typeof globalThis?globalThis:e||self).DOMPurify=t()}(this,(function(){"use strict";const{entries:e,setPrototypeOf:t,isFrozen:n,getPrototypeOf:o,getOwnPropertyDescriptor:r}=Object;let{freeze:i,seal:a,create:l}=Object,{a...

	return fmt.Sprintf("minio-%s.log", fmt.Sprintf("%X", time.Now().UTC().UnixNano()))
}

// Options define configuration options for Writer
type Options struct {
	// Directory defines the directory where log files will be written to.
	// If the directory does not exist, it will be created.
	Directory string

	// MaximumFileSize defines the maximum size of each log file in bytes.
	MaximumFileSize int64

    } catch (_: IllegalArgumentException) {
      defaultValue // This charset is invalid or unsupported. Give up.
    }
  }

  /**
   * Returns the parameter [name] of this media type, or null if this media type does not define
   * such a parameter.
   */
  fun parameter(name: String): String? {
    for (i in parameterNamesAndValues.indices step 2) {
      if (parameterNamesAndValues[i].equals(name, ignoreCase = true)) {

from starlette.datastructures import UploadFile as StarletteUploadFile


class UploadFile(StarletteUploadFile):
    """
    A file uploaded in a request.

    Define it as a *path operation function* (or dependency) parameter.

    If you are using a regular `def` function, you can use the `upload_file.file`
    attribute to access the raw standard Python file (blocking, not async), useful and

#### „Schema“ { #schema }

Ein „Schema“ ist eine Definition oder Beschreibung von etwas. Nicht der eigentliche Code, der es implementiert, sondern lediglich eine abstrakte Beschreibung.

#### API-„Schema“ { #api-schema }

In diesem Fall ist [OpenAPI](https://github.com/OAI/OpenAPI-Specification) eine Spezifikation, die vorschreibt, wie ein Schema für Ihre API zu definieren ist.

See the License for the specific language governing permissions and
limitations under the License.
==============================================================================*/
#ifndef TENSORFLOW_C_EAGER_ABSTRACT_OPERATION_H_
#define TENSORFLOW_C_EAGER_ABSTRACT_OPERATION_H_

#include <memory>

#include "absl/types/span.h"
#include "tensorflow/c/eager/abstract_tensor_handle.h"
#include "tensorflow/c/tensor_interface.h"

# Fess PID file directory
PID_DIR=${packaging.fess.pid.dir}

# End of variables that can be overwritten in $DEFAULT

# overwrite settings from default file
if [ -f "$DEFAULT" ]; then
	. "$DEFAULT"
fi

# Define other required variables
PID_FILE="$PID_DIR/$NAME.pid"
DAEMON=$FESS_HOME/bin/fess

        valueSources.add(new MapBasedValueSource(config.getUserProperties()));

        // Overwrite existing values in model properties. Otherwise, it's not possible
        // to define them via command line e.g.: mvn -Drevision=6.5.7 ...
        versionProcessor.overwriteModelProperties(modelProperties, config);
        valueSources.add(new MapBasedValueSource(modelProperties));

  enabled: true
  annotations: {}

  ## A manually managed Persistent Volume and Claim
  ## Requires persistence.enabled: true
  ## If defined, PVC must be created manually before volume will be bound
  existingClaim: ""

  ## minio data Persistent Volume Storage Class
  ## If defined, storageClassName: <storageClass>
  ## If set to "-", storageClassName: "", which disables dynamic provisioning