.of(MANY_VALUES_MEAN);
    assertThat(manyValuesAccumulatorByAddAllStatsAccumulator.mean())
        .isWithin(ALLOWED_ERROR)
        .of(MANY_VALUES_MEAN);
    // For datasets of many double values created from an iterable, we test many combinations of
    // finite and non-finite values:
    for (ManyValues values : ALL_MANY_VALUES) {
      StatsAccumulator accumulator = new StatsAccumulator();

import org.apache.maven.artifact.repository.MavenArtifactRepository;
import org.apache.maven.artifact.repository.layout.ArtifactRepositoryLayout;

/**
 * Delegating local artifact repository chains the reactor, IDE workspace
 * and user local repository.
 */
@Deprecated
public class DelegatingLocalArtifactRepository extends MavenArtifactRepository {
    private LocalArtifactRepository buildReactor;

			set -e # reset `e` as active
		else
			echo "Bucket '$BUCKET' does not exist, skipping purge."
		fi
	fi

	# Create the bucket if it does not exist and set objectlocking if enabled (NOTE: versioning will be not changed if OBJECTLOCKING is set because it enables versioning to the Buckets created)
	if ! checkBucketExists $BUCKET; then
		if [ ! -z $OBJECTLOCKING ]; then
			if [ $OBJECTLOCKING = true ]; then

We use *Specification* and *Discovery* documents stored in Google Drive, but they present some downsides:

* They are rarely updated after creation and initial review, and then become hard to follow, especially after important decisions are made
* They are not synced with the code to reflect the eventual solution that is committed

errors.crud_invalid_mode=Invalid mode(expected value is {0}, but it's {1}).
errors.crud_failed_to_create_instance=Failed to create a new data.
errors.crud_failed_to_create_crud_table=Failed to create a new data. ({0})
errors.crud_failed_to_update_crud_table=Failed to update the data. ({0})
errors.crud_failed_to_delete_crud_table=Failed to delete the data. ({0})

import java.util.Set;
import java.util.logging.Logger;
import junit.framework.Test;
import junit.framework.TestCase;
import junit.framework.TestSuite;
import org.checkerframework.checker.nullness.qual.Nullable;

/**
 * Creates, based on your criteria, a JUnit test suite that exhaustively tests the object generated
 * by a G, selecting appropriate tests by matching them against specified features.
 *

/**
 * Interface representing a Maven project which can be created using the
 * {@link org.apache.maven.api.services.ProjectBuilder ProjectBuilder} service.
 * Such objects are immutable and plugin that wish to modify such objects
 * need to do so using the {@link org.apache.maven.api.services.ProjectManager
 * ProjectManager} service.
 * <p>
 * Projects are created using the {@code ProjectBuilder} from a POM file

        System.arraycopy(passwordHash, 0, key, 0, 16);
        byte[] ntResponse = new byte[24];
        NtlmUtil.E(key, sessionHash, ntResponse);
        return ntResponse;
    }


    /**
     * Creates the LMv2 response for the supplied information.
     *
     * @param domain
     *            The domain in which the username exists.
     * @param user
     *            The username.
     * @param password

```

## 숫자 검증: 부동소수, 크거나 및 작거나

숫자 검증은 `float` 값에도 동작합니다.

여기에서 <abbr title="greater than or equal"><code>ge</code></abbr>뿐만 아니라 <abbr title="greater than"><code>gt</code></abbr>를 선언 할 수있는 것이 중요해집니다. 예를 들어 필요한 경우, 값이 `1`보다 작더라도 반드시 `0`보다 커야합니다.

즉, `0.5`는 유효한 값입니다. 그러나 `0.0` 또는 `0`은 그렇지 않습니다.

<abbr title="less than"><code>lt</code></abbr> 역시 마찬가지입니다.

```Python hl_lines="11"

	return &s3Error{
		code:       "ColumnTooLong",
		message:    "The length of a column in the result is greater than maxCharsPerColumn of 1 MB.",
		statusCode: 400,
		cause:      err,
	}
}

func errOverMaxColumn(err error) *s3Error {
	return &s3Error{
		code:       "OverMaxColumn",
		message:    "The number of columns in the result is greater than the maximum allowable number of columns.",
		statusCode: 400,
		cause:      err,
	}
}