// CHECK: %[[Q2:.*]] = "quantfork.qcast"(%[[ARG1]]) {volatile} : (tensor<1x2xf32>) -> tensor<1x2x!quant.uniform<i8:f32, 5.000000e-03:-1>>
    // CHECK: %[[CONCAT:.*]] = stablehlo.concatenate %[[Q1]], %[[Q2]], dim = 0
    // CHECK-SAME: (tensor<3x2x!quant.uniform<i8:f32, 5.000000e-03:-1>>, tensor<1x2x!quant.uniform<i8:f32, 5.000000e-03:-1>>) -> tensor<4x2x!quant.uniform<i8:f32, 5.000000e-03:-1>>

        Returns:
          A map of: output key -> output result.
        """
        out = math_ops.matmul(input_tensor, self.filters, name='sample/matmul')

        if self.same_scale_op == 'concatenate':
          ones = array_ops.ones_like(out)
          out = array_ops.concat([out, ones], 0)
        elif self.same_scale_op == 'gather':
          out = array_ops.gather(out, indices=[0], axis=0)

	s.err = err
	return s
}

// Code returns code of the Status.
func (s *Status) Code() Code {
	if s == nil {
		return Success
	}
	return s.code
}

// Message returns a concatenated message on reasons of the Status.
func (s *Status) Message() string {
	if s == nil {
		return ""
	}
	return strings.Join(s.Reasons(), ", ")
}

// SetPlugin sets the given plugin name to s.plugin.

		}
		// otherwise assume a function instead
	}
	return f.Name.Name
}

// separator is an empty //-style comment that is interspersed between
// different comment groups when they are concatenated into a single group
var separator = &Comment{token.NoPos, "//"}

// MergePackageFiles creates a file AST by merging the ASTs of the
// files belonging to a package. The mode flags control merging behavior.

// disabling preemption (systemstack or acquirem).
type gcWork struct {
	// wbuf1 and wbuf2 are the primary and secondary work buffers.
	//
	// This can be thought of as a stack of both work buffers'
	// pointers concatenated. When we pop the last pointer, we
	// shift the stack up by one work buffer by bringing in a new
	// full buffer and discarding an empty one. When we fill both
	// buffers, we shift the stack down by one work buffer by

    return %6 : tensor<2x2xf32>
  }

  // CHECK-LABEL: func @concat_v2
  func.func @concat_v2(%arg0: tensor<3x3xf32>, %arg1: tensor<3x3xf32>) -> tensor<6x3xf32> {
    // CHECK: "mhlo.concatenate"({{.*}}) <{dimension = 0 : i64}> : (tensor<3x3xf32>, tensor<3x3xf32>) -> tensor<6x3xf32>
    %axis = "tf.Const"() { value = dense<0> : tensor<i64> } : () -> tensor<i64>

		outFile, err := os.Create(c.OutputDir + "/_" + root.Name())
		if err != nil {
			return fmt.Errorf("unable to create zsh completion file: %v", err)
		}
		defer func() { _ = outFile.Close() }()

		// Concatenate the head, initialization, generated bash, and tail to the file
		if _, err = outFile.WriteString(zshInitialization); err != nil {
			return fmt.Errorf("unable to output zsh initialization: %v", err)
		}

func TestReadMIMEHeaderTrimContinued(t *testing.T) {
	// In this header, \n and \r\n terminated lines are mixed on purpose.
	// We expect each line to be trimmed (prefix and suffix) before being concatenated.
	// Keep the spaces as they are.
	r := reader("" + // for code formatting purpose.
		"a:\n" +
		" 0 \r\n" +
		"b:1 \t\r\n" +
		"c: 2\r\n" +
		" 3\t\n" +
		"  \t 4  \r\n\n")

    tf_device::ParallelExecuteOp* new_parallel_execute,
    int* cluster_idx) {
  const int num_cores_per_replica = tpu_devices.front().size();
  // parallel_execute op returns concatenated list of return values of
  // all its regions.
  //
  // TODO(b/149102702): Correctly map inputs to parallel_execute op via
  // identifying xla_sharding op in the cluster_func function.

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।