St=["background","cite","href","itemtype","longdesc","poster","src","xlink:href"],Nt=/^(?:(?:https?|mailto|ftp|tel|file|sms):|[^#&/:?]*(?:[#/?]|$))/i,Dt=/^data:(?:image\/(?:bmp|gif|jpeg|jpg|png|tiff|webp)|video\/(?:mpeg|mp4|ogg|webm)|audio\/(?:mp3|oga|ogg|opus));base64,[\d+/a-z]+=*$/i;function At(t,e,n){if(0===t.length)return t;if(n&&"function"==typeof n)return n(t);for(var i=(new window.DOMParser).parseFromString(t,"text/html"),o=Object.keys(e),a=[].slice.call(i.body.querySelectorAll("*")),s=function(t,n){var...

             offset="0"/>
    </magic>
    <sub-class-of type="audio/ogg"/>
  </mime-type>

  <mime-type type="audio/opus">
    <_comment>Ogg Opus Codec Compressed WAV File</_comment>
    <magic priority="60">
      <!-- For a single stream file -->
      <match value="OggS\000.......................OpusHead" type="string"

			case nopHeal:
				err = errSkipFile
			case SlashSeparator:
				res, err = healDiskFormat(ctx, objAPI, task.opts)
			default:
				if task.object == "" {
					res, err = objAPI.HealBucket(ctx, task.bucket, task.opts)
				} else {
					res, err = objAPI.HealObject(ctx, task.bucket, task.object, task.versionID, task.opts)
				}
			}

			if task.respCh != nil {
				task.respCh <- healResult{result: res, err: err}

	// Send heal request
	task := healTask{
		bucket:    source.bucket,
		object:    source.object,
		versionID: source.versionID,
		opts:      h.settings,
	}
	if source.opts != nil {
		task.opts = *source.opts
	} else {
		task.opts.ScanMode = madmin.HealNormalScan
	}

	h.countScanned(healType)

	if source.noWait {
		select {
		case globalBackgroundHealRoutine.tasks <- task:

    * Disabling TensorFloat-32 execution now causes TPUs to use float32 precision for float32 matmuls and other ops. TPUs have always used bfloat16 precision for certain ops, like matmul, when such ops had float32 inputs. Now, disabling TensorFloat-32 by calling `tf.config.experimental.enable_tensor_float_32_execution(False)` will cause TPUs to use float32 precision for such ops instead of bfloat16.

*  `tf.experimental.dtensor`

		}
	}
	uaAppend("; ", "")

	if cpus, err := gopsutilcpu.Info(); err == nil && len(cpus) > 0 {
		cpuMap := make(map[string]struct{}, len(cpus))
		coreMap := make(map[string]struct{}, len(cpus))
		for i := range cpus {
			cpuMap[cpus[i].PhysicalID] = struct{}{}
			coreMap[cpus[i].CoreID] = struct{}{}
		}
		cpu := cpus[0]

			} else {
				werr = d.WalkDir(ctx, WalkDirOptions{
					Limit:          opts.perDiskLimit,
					Bucket:         opts.bucket,
					BaseDir:        opts.path,
					Recursive:      opts.recursive,
					ReportNotFound: opts.reportNotFound,
					FilterPrefix:   opts.filterPrefix,
					ForwardTo:      opts.forwardTo,
				}, w)
			}

			// fallback only when set.
			for {

Shoutout to Angular https://github.com/angular/angular/blob/12.2.x/packages/core/src/sanitization/url_sanitizer.ts\n */\nconst DATA_URL_PATTERN = /^data:(?:image\\/(?:bmp|gif|jpeg|jpg|png|tiff|webp)|video\\/(?:mpeg|mp4|ogg|webm)|audio\\/(?:mp3|oga|ogg|opus));base64,[\\d+/a-z]+=*$/i\n\nfunction allowedAttribute(attr, allowedAttributeList) {\n  const attrName = attr.nodeName.toLowerCase()\n\n  if (allowedAttributeList.indexOf(attrName) !== -1) {\n    if (uriAttrs.indexOf(attrName) !== -1) {\n      return...

	LimitPerRecord(num int) PreloadBuilder
}

type op func(*DB) *DB

func G[T any](db *DB, opts ...clause.Expression) Interface[T] {
	v := &g[T]{
		db:  db,
		ops: make([]op, 0, 5),
	}

	if len(opts) > 0 {
		v.ops = append(v.ops, func(db *DB) *DB {
			return db.Clauses(opts...)
		})
	}

	v.createG = &createG[T]{
		chainG: chainG[T]{
			execG: execG[T]{g: v},
		},
	}

                                             const char* oper_name, int index) {
  opts->tensor_id_data.push_back(oper_name);
  const string& oper_name_str = opts->tensor_id_data.back();
  opts->opts.return_tensors.emplace_back(oper_name_str, index);
}

int TF_ImportGraphDefOptionsNumReturnOutputs(
    const TF_ImportGraphDefOptions* opts) {
  return opts->opts.return_tensors.size();
}