// POSIX specifies a sum of the unsigned byte values, but the Sun tar used
// signed byte values.
// We compute and return both.
func (b *block) computeChecksum() (unsigned, signed int64) {
	for i, c := range b {
		if 148 <= i && i < 156 {
			c = ' ' // Treat the checksum field itself as all spaces.
		}
		unsigned += int64(c)
		signed += int64(int8(c))
	}
	return unsigned, signed
}

import org.opensearch.search.aggregations.bucket.missing.MissingAggregationBuilder;
import org.opensearch.search.aggregations.bucket.range.IpRangeAggregationBuilder;
import org.opensearch.search.aggregations.bucket.range.RangeAggregationBuilder;
import org.opensearch.search.aggregations.bucket.sampler.SamplerAggregationBuilder;

            <li>{@code missing(path)}: Checks if a file matching the given glob pattern does not exist.</li>
            <li>{@code inrange(version, range)}: Checks if the given version is within the specified version range.</li>
            </ul>

            <h2>Supported properties</h2>

            <p>The following properties are supported in expressions:</p>

            <ul>

	Locale string `gorm:"primary_key"`
	Value  string
	Blogs  []*Blog `gorm:"many2many:blog_tags"`
}

func compareTags(tags []Tag, contents []string) bool {
	var tagContents []string
	for _, tag := range tags {
		tagContents = append(tagContents, tag.Value)
	}
	sort.Strings(tagContents)
	sort.Strings(contents)
	return reflect.DeepEqual(tagContents, contents)
}

			return
		}
	}
	if p.firstProg == nil {
		p.firstProg = prog
	} else {
		p.lastProg.Link = prog
	}
	p.lastProg = prog
	if doLabel {
		p.pc++
		for _, label := range p.pendingLabels {
			if p.labels[label] != nil {
				p.errorf("label %q multiply defined", label)
				return
			}
			p.labels[label] = prog
		}
		p.pendingLabels = p.pendingLabels[0:0]
	}
	prog.Pc = p.pc

  if (!status->status.ok()) return nullptr;

  if (input_index >= op_def->input_arg_size() || input_index < 0) {
    status->status = tensorflow::errors::InvalidArgument(
        input_index, " out of range for ", op_name);
    return nullptr;
  }

  const tensorflow::OpDef_ArgDef& input_arg = op_def->input_arg()[input_index];

  if (input_arg.number_attr().empty()) {

import org.opensearch.search.aggregations.bucket.missing.MissingAggregationBuilder;
import org.opensearch.search.aggregations.bucket.range.IpRangeAggregationBuilder;
import org.opensearch.search.aggregations.bucket.range.RangeAggregationBuilder;
import org.opensearch.search.aggregations.bucket.sampler.SamplerAggregationBuilder;

import org.opensearch.search.aggregations.bucket.missing.MissingAggregationBuilder;
import org.opensearch.search.aggregations.bucket.range.IpRangeAggregationBuilder;
import org.opensearch.search.aggregations.bucket.range.RangeAggregationBuilder;
import org.opensearch.search.aggregations.bucket.sampler.SamplerAggregationBuilder;

	full, frag, n, err := b.collectFragments(delim)
	// Allocate new buffer to hold the full pieces and the fragment.
	buf := make([]byte, n)
	n = 0
	// Copy full pieces and fragment in.
	for i := range full {
		n += copy(buf[n:], full[i])
	}
	copy(buf[n:], frag)
	return buf, err
}

// ReadString reads until the first occurrence of delim in the input,

        assertEquals("{constraints.NotBlank.message}", FessMessages.CONSTRAINTS_NotBlank_MESSAGE);
        assertEquals("{constraints.NotEmpty.message}", FessMessages.CONSTRAINTS_NotEmpty_MESSAGE);
        assertEquals("{constraints.Range.message}", FessMessages.CONSTRAINTS_Range_MESSAGE);
        assertEquals("{constraints.SafeHtml.message}", FessMessages.CONSTRAINTS_SafeHtml_MESSAGE);