private:
  // Quantize an DenseFPElementsAttr by the quantization parameters.
  DenseElementsAttr convert(DenseFPElementsAttr attr);

  // Get a uniform converter for the index-th chunk along the quantizationDim.
  // All the elements in this chunk is quantized by the returned converter.
  UniformQuantizedValueConverter getPerChunkConverter(int index) const {
    return UniformQuantizedValueConverter(scales_[index], zero_points_[index],

	BNE     start
	MOVW    R3,ret+40(FP)   // return crc
	RET

start:
	NOR     R3,R3,R7        // ^crc
	MOVWZ	R7,R7		// 32 bits
	CMP	R6,$16
	MOVD	R6,CTR
	BLT	short
	SRAD    $3,R6,R8        // 8 byte chunks
	MOVD    R8,CTR

loop:
	MOVWZ	0(R5),R8	// 0-3 bytes of p ?Endian?
	MOVWZ	4(R5),R9	// 4-7 bytes of p
	MOVD	R4,R10		// &tab[0]
	XOR	R7,R8,R7	// crc ^= byte[0:3]
	RLDICL	$40,R9,$56,R17	// p[7]

}

func checkSampleSliceDistributions(t *testing.T, samples []float64, nslices int, expected *statsResults) {
	t.Helper()
	chunk := len(samples) / nslices
	for i := 0; i < nslices; i++ {
		low := i * chunk
		var high int
		if i == nslices-1 {
			high = len(samples) - 1
		} else {
			high = (i + 1) * chunk
		}
		checkSampleDistribution(t, samples[low:high], expected)
	}
}

//
// Normal distribution tests
//

		w.(Flusher).Flush()
		fmt.Fprintf(w, "I am a chunked response.")
	}))

	res, err := cst.c.Get(cst.ts.URL)
	if err != nil {
		t.Fatalf("Get error: %v", err)
	}
	defer res.Body.Close()
	if g, e := res.ContentLength, int64(-1); g != e {
		t.Errorf("expected ContentLength of %d; got %d", e, g)
	}
	wantTE := []string{"chunked"}
	if mode == http2Mode {
		wantTE = nil
	}

}

func checkSampleSliceDistributions(t *testing.T, samples []float64, nslices int, expected *statsResults) {
	t.Helper()
	chunk := len(samples) / nslices
	for i := 0; i < nslices; i++ {
		low := i * chunk
		var high int
		if i == nslices-1 {
			high = len(samples) - 1
		} else {
			high = (i + 1) * chunk
		}
		checkSampleDistribution(t, samples[low:high], expected)
	}
}

//
// Normal distribution tests
//

- Extract your build logic from your project build (and re-use it among subprojects)
- Combine builds that are usually developed independently (such as a plugin and an application)
- Decompose a large build into smaller, more isolated chunks

== Step 4. Add build to the Build

Let's add a plugin to our build.
First, create a new directory called `license-plugin` in the `gradle` directory:

[source]
----
cd gradle
----

// definition. `Operations` are partitioned into classes from the cartesian
// product of possible devices and inference datatypes. For example, we might
// raise a chunk of sequential operations from a block all having attributes
// `{ tac.device = "GPU", tac.inference_type = "FLOAT"}` to a function
// with the matching attributes. Assumed is that device type "CPU"

	}

	ep.argPatterns = argPatterns

	return ep, nil
}

// GetAllSets - parses all ellipses input arguments, expands them into
// corresponding list of endpoints chunked evenly in accordance with a
// specific set size.
// For example: {1...64} is divided into 4 sets each of size 16.
// This applies to even distributed setup syntax as well.

	AggregatedDiscoveryEndpoint featuregate.Feature = "AggregatedDiscoveryEndpoint"

	// owner: @smarterclayton
	// alpha: v1.8
	// beta: v1.9
	// stable: 1.29
	//
	// Allow API clients to retrieve resource lists in chunks rather than
	// all at once.
	APIListChunking featuregate.Feature = "APIListChunking"

	// owner: @MikeSpreitzer @yue9944882
	// alpha: v1.18
	// beta: v1.20
	// stable: 1.29
	//

func (s *mspan) refreshPinnerBits() {
	p := s.getPinnerBits()
	if p == nil {
		return
	}

	hasPins := false
	bytes := alignUp(s.pinnerBitSize(), 8)

	// Iterate over each 8-byte chunk and check for pins. Note that
	// newPinnerBits guarantees that pinnerBits will be 8-byte aligned, so we
	// don't have to worry about edge cases, irrelevant bits will simply be
	// zero.