using tensorflow::RecordMutation;
  mutex_lock l(graph->mu);
  FullTypeDef full_type;
  full_type.ParseFromArray(full_type_proto->data, full_type_proto->length);
  *op->node.mutable_def()->mutable_experimental_type() = full_type;
  RecordMutation(graph, *op, "setting fulltype");
}

void TF_SetRequestedDevice(TF_Graph* graph, TF_Operation* op,

            final String[] fileTypes = ComponentUtil.getFileTypeHelper().getTypes();
            for (final String fileType : fileTypes) {
                final String value = filetypeField + ":" + fileType;
                if (!values.contains(value)) {
                    final String key = "labels.facet_filetype_" + fileType;
                    if (resources.containsKey(key)) {
                        queryMap.put(key, value);

					<select id="as_filetype" name="as.filetype" class="form-control">
						<option value=""><la:message key="labels.advance_search_filetype_default" /></option>
						<option value="html" <c:if test="${as.filetype.contains('html')}">selected</c:if>><la:message
								key="labels.advance_search_filetype_html"
							/></option>
						<option value="pdf" <c:if test="${as.filetype.contains('pdf')}">selected</c:if>><la:message

        final int fileType;
        if (fileName.startsWith("system") && fileName.endsWith(".properties")) {
            fileType = 1;
        } else if (fileName.startsWith("gsa") && fileName.endsWith(".xml")) {
            fileType = 2;
        } else if (fileName.endsWith(".bulk")) {
            fileType = 3;

                                    <label for="doc.filetype" class="col-sm-3 text-sm-right col-form-label">filetype</label>
                                    <div class="col-sm-9">
                                        <la:errors property="doc.filetype"/>
                                        <la:text styleId="doc.filetype" property="doc.filetype" styleClass="form-control"/>
                                    </div>

  esac
  ${im_cmd} -thumbnail ${image_size} "${format_hint}${target_file}" "${output_file}"
elif [[ x"${cmd_type}" = "x" ]] ; then
  echo "No filetype."
  exit 1
else
  echo "Unsupported type: ${cmd_type}"
  exit 1
fi

if [[ ! -f ${output_file} ]] ; then
  echo "Thumbnail is not created."
  exit 1

            "url": doc.get("url", ""),
            "title": doc.get("title", ""),
            "content": doc.get("content", ""),
            "mimetype": doc.get("mimetype", "text/html"),
            "filetype": doc.get("filetype", "html"),
            "created": doc.get("@timestamp", ""),
            "timestamp": doc.get("@timestamp", ""),
            # Add custom fields as needed
        }

index.delete.timeout=3m
# Timeout for index health checks.
index.health.timeout=10m
# Timeout for index indices operations.
index.indices.timeout=1m

# filetype

# Mapping of MIME types to filetype labels for indexing.
index.filetype=\
text/html=html\n\
application/msword=word\n\
application/vnd.openxmlformats-officedocument.wordprocessingml.document=word\n\
application/vnd.ms-excel=excel\n\

		if stmt.Schema != nil {
			if field := stmt.Schema.LookUpField(field); field != nil {
				fileType := m.FullDataTypeOf(field)
				return m.DB.Exec(
					"ALTER TABLE ? ALTER COLUMN ? TYPE ?",
					m.CurrentTable(stmt), clause.Column{Name: field.DBName}, fileType,
				).Error

			}
		}
		return fmt.Errorf("failed to look up field with name: %s", field)
	})
}

# vim: filetype=bash
#
# Copyright 2022 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,