TF_ImportGraphDefOptionsSetPrefix(opts, "imported4");
  TF_ImportGraphDefOptionsRemapControlDependency(opts, "imported/feed", feed);
  TF_GraphImportGraphDef(graph, graph_def, opts, s);
  ASSERT_EQ(TF_OK, TF_GetCode(s)) << TF_Message(s);

  TF_Operation* scalar4 =
      TF_GraphOperationByName(graph, "imported4/imported3/scalar");
  TF_Operation* feed4 =
      TF_GraphOperationByName(graph, "imported4/imported2/feed");

    TF_ImportGraphDefOptions* opts, unsigned char uniquify_prefix);

// Set any imported nodes with input `src_name:src_index` to have that input
// replaced with `dst`. `src_name` refers to a node in the graph to be imported,
// `dst` references a node already existing in the graph being imported into.
// `src_name` is copied and has no lifetime requirements.

					normKey, origKeys)
			}

			if len(origKeys[1:]) > 0 {
				// Log that extra DN mappings will not be imported.
				iamLogEvent(ctx, "import-ldap-normalize: extraneous DN mappings found for LDAP DN[%s]: %v will not be imported", origKeys[0], origKeys[1:])
			}

			// Policies mapped to the DN's are the same, so we remove the extra
			// ones from the map.

			}
		}
	}
}

// ImportIAM - imports all IAM info into MinIO
func (a adminAPIHandlers) ImportIAM(w http.ResponseWriter, r *http.Request) {
	a.importIAM(w, r, "")
}

// ImportIAMV2 - imports all IAM info into MinIO
func (a adminAPIHandlers) ImportIAMV2(w http.ResponseWriter, r *http.Request) {
	a.importIAM(w, r, "v2")
}

// ImportIAM - imports all IAM info into MinIO

    ],
)

# Packages that use private types symbols, until they are exported.
# TODO(b/154650521) Remove.
# If this is modified, then copy.bara.sky must also be modified.
package_group(name = "types_allowlist")

# Packages that use StructuredTensors.
# TODO(b/159007891) Remove this package once StructuredTensor is exported.
# LINT.IfChange
package_group(name = "structured_tensor_allowlist")

```py
#!/usr/bin/env python3
from __future__ import print_function
import paho.mqtt.client as mqtt

# This is the Subscriber

def on_connect(client, userdata, flags, rc):
  print("Connected with result code "+str(rc))
  # qos level is set to 1

	// uncompressed expected content.
	// If content is very large, an alternative to setting Content or File
	// is to set Size, which will then be checked against the header-reported size
	// but will bypass the decompressing of the actual data.
	// This last option is used for testing very large (multi-GB) compressed files.
	ContentErr error
	Content    []byte
	File       string
	Size       uint64

		//
		// A sample code to see the improvements is as follows, this sample code is
		// simply a read on JSON from MinIO and write it back as "parquet".
		//
		// import org.apache.spark.sql.SparkSession
		// import org.apache.spark.sql.types.{IntegerType, StringType, StructField, StructType}
		// object SparkJSONRead {
		//   def main(args: Array[String]): Unit = {

	}

	// Dealing with error returns from close() - 'man 2 close'
	//
	// A careful programmer will check the return value of close(), since it is quite possible that
	// errors on a previous write(2) operation are reported only on the final close() that releases
	// the open file descriptor.
	//
	// Failing to check the return value when closing a file may lead to silent loss of data.

common:elinux_armhf --copt -mfp16-format=ieee

# Config-specific options should come above this line.

# Load rc file written by ./configure.
try-import %workspace%/.tf_configure.bazelrc

# Load rc file with user-specific options.
try-import %workspace%/.bazelrc.user

# Here are bazelrc configs for release builds
# Build TensorFlow v2.
test:release_base --test_size_filters=small,medium