}

var errNegativeRead = errors.New("bufio: reader returned negative count from Read")

// fill reads a new chunk into the buffer.
func (b *Reader) fill() {
	// Slide existing data to beginning.
	if b.r > 0 {
		copy(b.buf, b.buf[b.r:b.w])
		b.w -= b.r
		b.r = 0
	}

	if b.w >= len(b.buf) {
		panic("bufio: tried to fill full buffer")
	}

	// Read new data: try a limited number of times.

}

func main() {
	defer func() {
		useStack(100) // force a stack copy
		// We're expecting a panic.
		// The bug in this issue causes a throw, which this recover() will not squash.
		recover()
	}()
	junk() // fill the stack with invalid pointers
	f(nil, nil)
}

func useStack(n int) {
	if n == 0 {
		return
	}
	useStack(n - 1)
}

//go:noinline
func junk() uintptr {

              {% for n in range(review.rating.stars) %}
              <svg id="glyphicon glyphicon-star" class="h-5 w-5 flex-none" viewBox="0 0 20 20" fill="currentColor" aria-hidden="true">

// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.

package main

import (
	"fmt"
	"maps"
)

func main() {
	m := map[string]struct{}{}

	// Fill m up to the max for 4 buckets = 48 entries.
	for i := 0; i < 48; i++ {
		m[fmt.Sprintf("%d", i)] = struct{}{}
	}

	// Add a 49th entry, to start a grow to 8 buckets.
	m["foo"] = struct{}{}

  // CHECK-DAG: %cst_0 = arith.constant dense<1000> : tensor<2xi64>
  // CHECK-DAG: %cst_1 = arith.constant dense<1.000000e+00> : tensor<f32>
  // CHECK: %0 = "tfl.fill"(%cst_0, %cst_1) : (tensor<2xi64>, tensor<f32>) -> tensor<1000x1000xf32>
  // CHECK: return %cst, %0 : tensor<10x10xf32>, tensor<1000x1000xf32>

		d.window = make([]byte, maxStoreBlockSize)
		d.fill = (*compressor).fillStore
		d.step = (*compressor).store
	case level == HuffmanOnly:
		d.window = make([]byte, maxStoreBlockSize)
		d.fill = (*compressor).fillStore
		d.step = (*compressor).storeHuff
	case level == BestSpeed:
		d.compressionLevel = levels[level]
		d.window = make([]byte, maxStoreBlockSize)
		d.fill = (*compressor).fillStore
		d.step = (*compressor).encSpeed

	if s.ch == BOM {
		if s.line > 0 || s.col > 0 {
			s.error("invalid BOM in the middle of the file")
		}
		goto redo
	}
}

// fill reads more source bytes into s.buf.
// It returns with at least one more byte in the buffer, or with s.ioerr != nil.
func (s *source) fill() {
	// determine content to preserve
	b := s.r
	if s.b >= 0 {
		b = s.b
		s.b = 0 // after buffer has grown or content has been moved down
	}

    }
  }

  @Test fun readPaddedDataFrame() {
    val dataLength = 1123
    val expectedData = ByteArray(dataLength)
    Arrays.fill(expectedData, 2.toByte())
    val paddingLength = 254
    val padding = ByteArray(paddingLength)
    Arrays.fill(padding, 0.toByte())
    writeMedium(frame, dataLength + paddingLength + 1)
    frame.writeByte(Http2.TYPE_DATA)
    frame.writeByte(FLAG_PADDED)

#ifndef TENSORFLOW_C_EXPERIMENTAL_SAVED_MODEL_CORE_FUNCTION_METADATA_H_
#define TENSORFLOW_C_EXPERIMENTAL_SAVED_MODEL_CORE_FUNCTION_METADATA_H_

namespace tensorflow {

class FunctionMetadata {
  // TODO(bmzhao): Fill in with fields as necessary
};

}  // namespace tensorflow

      return new int[buckets];
    }
  }

  static void tableClear(Object table) {
    if (table instanceof byte[]) {
      Arrays.fill((byte[]) table, (byte) 0);
    } else if (table instanceof short[]) {
      Arrays.fill((short[]) table, (short) 0);
    } else {
      Arrays.fill((int[]) table, 0);
    }
  }

  /**
   * Returns {@code table[index]}, where {@code table} is actually a {@code byte[]}, {@code