ফাংশনটি নিম্নলিখিত কাজ করে:

* `first_name` এবং `last_name` নেয়।
* প্রতিটির প্রথম অক্ষরকে `title()` ব্যবহার করে বড় হাতের অক্ষরে রূপান্তর করে।
* তাদেরকে মাঝখানে একটি স্পেস দিয়ে <abbr title="একটার পরে একটা একত্রিত করা">concatenate</abbr> করে।

```Python hl_lines="2"
{!../../../docs_src/python_types/tutorial001.py!}
```

### এটি সম্পাদনা করুন

এটি একটি খুব সাধারণ প্রোগ্রাম।

কিন্তু এখন কল্পনা করুন যে আপনি এটি শুরু থেকে লিখছিলেন।

You can see these sources for the compiled-in profiles and charts in the repo under `manifests/`. These profiles and charts are also included in the Istio release tar.

#### Output to dirs

The output of the manifest is concatenated into a single file. To generate a directory hierarchy with subdirectory
levels representing a child dependency, use the following command:

```bash
istioctl manifest generate -o istio_manifests
```

}

var errUnrecognized = fmt.Errorf("unrecognized profile format")
var errMalformed = fmt.Errorf("malformed profile format")
var errNoData = fmt.Errorf("empty input file")
var errConcatProfile = fmt.Errorf("concatenated profiles detected")

func parseLegacy(data []byte) (*Profile, error) {
	parsers := []func([]byte) (*Profile, error){
		parseCPU,
		parseHeap,
		parseGoCount, // goroutine, threadcreate
		parseThread,

			pcdelta := p.Pc - pc
			lastpc = p.Pc
			putpclcdelta(ctxt, dctxt, lines, uint64(pcdelta), int64(newLine)-line)
			line, pc = int64(newLine), p.Pc
		}
	}

	// Because these symbols will be concatenated together by the
	// linker, we need to reset the state machine that controls the
	// debug symbols. Do this using an end-of-sequence operator.
	//
	// Note: at one point in time, Delve did not support multiple end

  // CHECK: [[CONSTANT2:%.*]] = mhlo.constant dense<16> : tensor<1xi64>
  // CHECK: [[CONCATENATE:%.*]] = "mhlo.concatenate"([[CONSTANT1]], [[FROM_ELEMENTS]], [[CONSTANT2]]) <{dimension = 0 : i64}> : (tensor<1xi64>, tensor<1xi64>, tensor<1xi64>) -> tensor<3xi64>
  // CHECK: [[DYNAMIC_GATHER:%.*]] = "mhlo.dynamic_gather"([[INPUT]], [[WHILE_OUT]]#2, [[CONCATENATE]])
  // CHECK-SAME:   dimension_numbers =
  // CHECK-SAME:     offset_dims = [1, 2]

   * {@code ByteBuffer.allocate(2).putChar(value).array()}. For example, the input value {@code
   * '\\u5432'} would yield the byte array {@code {0x54, 0x32}}.
   *
   * <p>If you need to convert and concatenate several values (possibly even of different types),
   * use a shared {@link java.nio.ByteBuffer} instance, or use {@link
   * com.google.common.io.ByteStreams#newDataOutput()} to get a growable buffer.
   */

   * {@code ByteBuffer.allocate(2).putChar(value).array()}. For example, the input value {@code
   * '\\u5432'} would yield the byte array {@code {0x54, 0x32}}.
   *
   * <p>If you need to convert and concatenate several values (possibly even of different types),
   * use a shared {@link java.nio.ByteBuffer} instance, or use {@link
   * com.google.common.io.ByteStreams#newDataOutput()} to get a growable buffer.
   */

    for (auto result_type : region_terminator->getOperandTypes()) {
      if (result_type !=
          op.getOperation()->getResult(output_index++).getType()) {
        return op.emitOpError() << "output types must be a concatenated "
                                << "list of output types for each regions.";
      }
    }
  }

  // Check that total number of outputs from regions match the output types of
  // the parallel_execute op.

// %4 = stablehlo.get_dimension_size %3, dim = 0 :
//          (tensor<?x3x4x2xf32>) -> tensor<i32>
// %5 = stablehlo.reshape %4 :
//          (tensor<i32>) -> tensor<1xi32>
// %6 = stablehlo.concatenate %5, %0, %1, %2, dim = 0 :
//          (tensor<1xi32>, tensor<1xi32>, tensor<1xi32>, tensor<1xi32>)
//            -> tensor<4xi32>
// %7 = stablehlo.dynamic_broadcast_in_dim %arg2, %6
// %8 = stablehlo.add %3, %7
// ```

   * {@code ByteBuffer.allocate(2).putShort(value).array()}. For example, the input value {@code
   * (short) 0x1234} would yield the byte array {@code {0x12, 0x34}}.
   *
   * <p>If you need to convert and concatenate several values (possibly even of different types),
   * use a shared {@link java.nio.ByteBuffer} instance, or use {@link
   * com.google.common.io.ByteStreams#newDataOutput()} to get a growable buffer.
   */