var tokens int           // number of tokens to request

	if hdr > 0 { // available tokens go towards header first
		if hdr < b { // all of header can be accommodated
			r.opts.HeaderSize = 0
			need = int(math.Min(float64(b-hdr), float64(need))) // use remaining tokens towards payload
			tokens = need + hdr
		} else { // part of header can be accommodated
			r.opts.HeaderSize -= b - 1

	} else if news.Title != "hn_news" {
		t.Errorf("embedded struct's value should be scanned correctly")
	}

	DB.Save(&EngadgetPost{BasePost: BasePost{Title: "engadget_news"}, Author: &Author{Name: "Edward"}})
	DB.Save(&EngadgetPost{BasePost: BasePost{Title: "engadget_article"}, Author: &Author{Name: "George"}})
	var egNews EngadgetPost
	if err := DB.First(&egNews, "title = ?", "engadget_news").Error; err != nil {

import java.util.Iterator;
import java.util.NoSuchElementException;

import org.codelibs.core.exception.ClUnsupportedOperationException;

/**
 * An {@link Iterator} that iterates through the hierarchy of class loaders towards their parent class loaders.
 * <p>
 * Usage example:
 * </p>
 *
 * <pre>
 * import static org.codelibs.core.lang.ClassLoaderIterator.*;
 *
 * ClassLoader classLoader = ...;

          # @bot-gradle test ReadyForNightly
          # ```
          # stopGradleDaemons=true
          # ```
          EOF
          # Append everything from "version:" onwards
          sed -n '/^version:/,$p' .teamcity/jdks.yaml >> .teamcity/jdks.yaml.tmp
          mv .teamcity/jdks.yaml.tmp .teamcity/jdks.yaml
      - name: Create Pull Request
        id: create-pull-request

) {
  fine("${queue.name} ${String.format("%-22s", message)}: ${task.name}")
}

/**
 * Returns a duration in the nearest whole-number units like "999 µs" or "  1 s ". This rounds 0.5
 * units away from 0 and 0.499 towards 0. The smallest unit this returns is "µs"; the largest unit
 * it returns is "s". For values in [-499..499] this returns "  0 µs".
 *
 * The returned string attempts to be column-aligned to 6 characters. For negative and large values

number of nodes are of odd number then GCD algorithm provides affinity towards odd number erasure sets to provide for uniform distribution across nodes*. This is to ensure that same number of drives are pariticipating in any erasure set. For example if you have 2 nodes with 180 drives then GCD is 15 but this would lead to uneven distribution, one of the nodes would participate more drives. To avoid this the affinity is given towards nodes which leads to next best GCD factor of 12 which provides uniform...

// or Adobe Acrobat (though not necessarily limited to these), permission to handle data across domains.
// When clients request content hosted on a particular source domain and that content make requests
// directed towards a domain other than its own, the remote domain needs to host a cross-domain
// policy file that grants access to the source domain, allowing the client to continue the transaction.

import org.codelibs.core.exception.ClUnsupportedOperationException;
import org.codelibs.core.message.MessageFormatter;

/**
 * An {@link Iterator} that iterates through the inheritance hierarchy of a class towards its superclasses.
 * <p>
 * Usage example:
 * </p>
 *
 * <pre>
 * import static org.codelibs.core.lang.ClassIterator.*;
 *
 * Class&lt;?&gt; someClass = ...;

			timeout = dt.minimum
		}
		atomic.StoreInt64(&dt.timeout, timeout)
	} else if failPct < dynamicTimeoutDecreaseThresholdPct {
		// We are hitting the timeout relatively few times,
		// so decrease the timeout towards 25 % of maximum time spent.
		maxDur = maxDur * 125 / 100

		timeout := atomic.LoadInt64(&dt.timeout)
		if maxDur < time.Duration(timeout) {
			// Move 50% toward the max.
			timeout = (int64(maxDur) + timeout) / 2

include:

* Using welcoming and inclusive language
* Being respectful of differing viewpoints and experiences
* Gracefully accepting constructive criticism
* Focusing on what is best for the community
* Showing empathy towards other community members

Examples of unacceptable behavior by participants include:

* The use of sexualized language or imagery and unwelcome sexual attention or
  advances