3. [Generate and use Self-signed Keys and Certificates with MinIO](#generate-use-self-signed-keys-certificates)
4. [Install Certificates from Third-party CAs](#install-certificates-from-third-party-cas)

## 1. Install MinIO Server

        transformerChain.add(new TestTransformer("first"));
        transformerChain.add(new TestTransformer("second"));
        transformerChain.add(new TestTransformer("third"));

        ResponseData responseData = new ResponseData();
        responseData.setUrl("http://example.com");

        ResultData currentResult = null;
        for (Transformer transformer : transformerChain) {

			case arch.IsARM64STLXR(op):
				// ARM64 instructions with one input and two outputs.
				prog.From = a[0]
				prog.To = a[1]
				if a[2].Type != obj.TYPE_REG {
					p.errorf("invalid addressing modes for third operand to %s instruction, must be register", op)
					return
				}
				prog.RegTo2 = a[2].Reg
			case arch.IsARM64TBL(op):
				// one of its inputs does not fit into prog.Reg.
				prog.From = a[0]

    }

    /**
     * Test multiple name changes
     */
    public void test_multipleNameChanges() {
        String[] names = { "first", "second", "third", "fourth", "fifth" };

        for (String name : names) {
            testTransformer.setName(name);
            assertEquals(name, testTransformer.getName());
        }

        // Verify final state

#     dynamic_kernels:  Try to link all kernels dynamically (experimental).
#     dbg:              Build with debug info
#
# TF version options;
#     v2: Build TF v2
#
# Feature and Third party library support options:
#     xla:          Build TF with XLA
#     tpu:          Build TF with TPU support
#     cuda:         Build with CUDA support.
#     cuda_clang    Build with CUDA Clang support.

        `_tpu_estimator_embedding.py`. This allows embedding lookup statistics
        gathered at runtime to be used in embedding layer partitioning
        decisions.
*   PluggableDevice
    *   Third-party devices can now connect to TensorFlow as plug-ins through
        [StreamExecutor C API](https://github.com/tensorflow/community/blob/master/rfcs/20200612-stream-executor-c-api.md).
        and