tType||t.contentType)&&T.setRequestHeader("Content-Type",y.contentType),T.setRequestHeader("Accept",y.dataTypes[0]&&y.accepts[y.dataTypes[0]]?y.accepts[y.dataTypes[0]]+("*"!==y.dataTypes[0]?", "+It+"; q=0.01":""):y.accepts["*"]),y.headers)T.setRequestHeader(i,y.headers[i]);if(y.beforeSend&&(!1===y.beforeSend.call(v,T,y)||h))return T.abort();if(u="abort",b.add(y.complete),T.done(y.success),T.fail(y.error),c=$t(Mt,y,t,T)){if(T.readyState=1,g&&m.trigger("ajaxSend",[T,y]),h)return T;y.async&&0<y.tim...

	prefix := ""
	for _, f := range fld {
		for _, n := range f.Names {
			// Ignore field names that don't have the prefix we're
			// looking for. It is common in C headers to have fields
			// named, say, _pad in an otherwise prefixed header.
			// If the struct has 3 fields tv_sec, tv_usec, _pad1, then we
			// still want to remove the tv_ prefix.
			// The check for "orig_" here handles orig_eax in the

build:mkl_aarch64_threadpool --define=build_with_mkl_aarch64=true
build:mkl_aarch64_threadpool -c opt

# CUDA: This config refers to building CUDA op kernels with nvcc.
build:cuda --repo_env TF_NEED_CUDA=1
build:cuda --crosstool_top=@local_config_cuda//crosstool:toolchain
build:cuda --@local_config_cuda//:enable_cuda

# CUDA: This config refers to building CUDA op kernels with clang.
build:cuda_clang --config=cuda

                            "typed_config": {
                              "@type": "type.googleapis.com/envoy.extensions.filters.http.set_filter_state.v3.Config",
                              "on_request_headers": [
                                {
                                  "object_key": "envoy.filters.listener.original_dst.local_ip",
                                  "format_string": {

				CalculatedSHA256: "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855",
			},
		},
		// Test case - 14.
		// Input with size more than the size of actual data inside the reader.
		{
			bucketName: bucket, objName: object, uploadID: uploadID, PartID: 1, inputReaderData: "abcd", inputMd5: "e2fc714c4727ee9395f324cd2e7f3335", inputDataSize: int64(len("abcd") + 1),

                            "typed_config": {
                              "@type": "type.googleapis.com/envoy.extensions.filters.http.set_filter_state.v3.Config",
                              "on_request_headers": [
                                {
                                  "object_key": "envoy.filters.listener.original_dst.local_ip",
                                  "format_string": {

		zipWriter := zip.NewWriter(&b)
		rawDataFn := func(r io.Reader, filename string, sz int) error {
			header, zerr := zip.FileInfoHeader(dummyFileInfo{
				name:    filename,
				size:    int64(sz),
				mode:    0o600,
				modTime: time.Now(),
				isDir:   false,
				sys:     nil,
			})
			if zerr != nil {
				adminLogIf(ctx, zerr)
				return nil
			}
			header.Method = zip.Deflate

tType||t.contentType)&&T.setRequestHeader("Content-Type",y.contentType),T.setRequestHeader("Accept",y.dataTypes[0]&&y.accepts[y.dataTypes[0]]?y.accepts[y.dataTypes[0]]+("*"!==y.dataTypes[0]?", "+It+"; q=0.01":""):y.accepts["*"]),y.headers)T.setRequestHeader(i,y.headers[i]);if(y.beforeSend&&(!1===y.beforeSend.call(v,T,y)||h))return T.abort();if(u="abort",b.add(y.complete),T.done(y.success),T.fail(y.error),c=$t(Mt,y,t,T)){if(T.readyState=1,g&&m.trigger("ajaxSend",[T,y]),h)return T;y.async&&0<y.tim...

```

MinIO supports all the exchanges available in [RabbitMQ](https://www.rabbitmq.com/). For this setup, we are using `fanout` exchange.

MinIO also sends with the notifications two headers: `minio-bucket` and `minio-event`. An exchange using the type "headers" can use this information to route the notifications to proper queues.

def set_tf_cuda_paths(environ_cp):
  """Set TF_CUDA_PATHS."""
  ask_cuda_paths = (
      'Please specify the comma-separated list of base paths to look for CUDA '
      'libraries and headers. [Leave empty to use the default]: ')
  tf_cuda_paths = get_from_env_or_user_or_default(environ_cp, 'TF_CUDA_PATHS',
                                                  ask_cuda_paths, '')
  if tf_cuda_paths: