/// <summary>
/// Creates a random <see langword="short"/> value within the specified range using the specified
/// distribution algorithm.
/// </summary>
/// <param name="anon">The anonymous data provider to use.</param>
/// <param name="minimum">The minimum value.</param>
/// <param name="maximum">The maximum value.</param>
/// <param name="distribution">The distribution algorithm to use.</param>
/// <returns>A random <see langword="short"/> value.</returns>
/// <exception cref="System.ArgumentNullException"><paramref name="anon"/> is <see langword="null"/>.</exception>
/// <exception cref="System.ArgumentOutOfRangeException">
/// <paramref name="maximum"/> is less than <paramref name="minimum"/>.
/// </exception>
public static short AnyInt16(this IAnonymousData anon, short minimum, short maximum, Distribution distribution)
{
Argument.NotNull(anon, nameof(anon));
Argument.InRange(
maximum,
minimum,
short.MaxValue,
nameof(maximum),
"The maximum value must be greater than the minimum value.");
return((short)anon.AnyInt64(minimum, maximum, distribution));
}
/// <summary>
/// Creates an anonymous <see langword="char"/> value within the range of basic Latin characters using
/// the specified distribution algorithm.
/// </summary>
/// <param name="anon">The anonymous data provider to use.</param>
/// <param name="distribution">The distribution algorithm to use.</param>
/// <returns>A random basic Latin character.</returns>
/// <exception cref="ArgumentNullException"><paramref name="anon"/> is <c>null</c>.</exception>
public static char AnyBasicLatinChar(this IAnonymousData anon, Distribution distribution)
{
Argument.NotNull(anon, nameof(anon));
return(anon.AnyChar((char)BasicLatinCharRange.Minimum, (char)BasicLatinCharRange.Maximum, distribution));
}
/// <summary>
/// Creates a random <see langword="short"/> value using the specified distribution algorithm.
/// </summary>
/// <param name="anon">The anonymous data provider to use.</param>
/// <param name="distribution">The distribution algorithm to use.</param>
/// <returns>A random <see langword="short"/> value.</returns>
/// <exception cref="System.ArgumentNullException"><paramref name="anon"/> is <see langword="null"/>.</exception>
public static short AnyInt16(this IAnonymousData anon, Distribution distribution)
{
Argument.NotNull(anon, nameof(anon));
return(anon.AnyInt16(short.MinValue, short.MaxValue, distribution));
}
/// <summary>
/// Creates an anonymous <see langword="char"/> value within the range of alpha/numeric characters
/// using the specified distribution algorithm.
/// </summary>
/// <param name="anon">The anonymous data provider to use.</param>
/// <param name="distribution">The distribution algorithm to use.</param>
/// <returns>A random alpha/numeric character.</returns>
/// <exception cref="ArgumentNullException"><paramref name="anon"/> is <c>null</c>.</exception>
public static char AnyAlphaNumericChar(this IAnonymousData anon, Distribution distribution)
{
Argument.NotNull(anon, nameof(anon));
return((char)Range.CreateLongFromRanges(anon, distribution, LowerCaseAlphaRange, UpperCaseAlphaRange, NumericRange));
}
/// <summary>
/// Creates an anonymous <see langword="char"/> value within the range of printable characters
/// using the specified distribution algorithm.
/// </summary>
/// <param name="anon">The anonymous data provider to use.</param>
/// <param name="distribution">The distribution algorithm to use.</param>
/// <returns>A random printable character.</returns>
/// <exception cref="ArgumentNullException"><paramref name="anon"/> is <c>null</c>.</exception>
public static char AnyPrintableChar(this IAnonymousData anon, Distribution distribution)
{
Argument.NotNull(anon, nameof(anon));
return((char)Range.CreateLongFromRanges(anon, distribution, BasicLatinCharRange, LatinSupplementRange));
}
/// <summary>
/// Creates an anonymous <see langword="char"/> value within the specified range using the specified
/// distribution algorithm.
/// </summary>
/// <param name="anon">The anonymous data provider to use.</param>
/// <param name="minimum">The minimum value.</param>
/// <param name="maximum">The maximum value.</param>
/// <param name="distribution">The distribution algorithm to use.</param>
/// <returns>A random <see langword="char"/> value.</returns>
/// <exception cref="ArgumentNullException"><paramref name="anon"/> is <c>null</c>.</exception>
public static char AnyChar(this IAnonymousData anon, char minimum, char maximum, Distribution distribution)
{
Argument.NotNull(anon, nameof(anon));
Argument.InRange(maximum, minimum, char.MaxValue, nameof(maximum), "The maximum value must be greater than the minimum value.");
return((char)anon.AnyInt64(minimum, maximum, distribution));
}
/// <summary>
/// Creates an anonymous <see langword="char"/> value using the specified distribution algorithm.
/// </summary>
/// <param name="anon">The anonymous data provider to use.</param>
/// <param name="distribution">The distribution algorithm to use.</param>
/// <returns>A random <see langword="char"/> value.</returns>
/// <exception cref="ArgumentNullException"><paramref name="anon"/> is <c>null</c>.</exception>
public static char AnyChar(this IAnonymousData anon, Distribution distribution)
{
Argument.NotNull(anon, nameof(anon));
return(anon.AnyChar(char.MinValue, char.MaxValue, distribution));
}
/// <summary>
/// Creates a random positive <see langword="double"/> value.
/// </summary>
/// <param name="anon">The anonymous data provider to use.</param>
/// <param name="distribution">The distribution algorithm to use.</param>
/// <returns>A random positive <see langword="double"/> value.</returns>
/// <exception cref="ArgumentNullException"><paramref name="anon"/> is <c>null</c>.</exception>
/// <remarks>
/// This method may return a zero value, which strictly makes this "any non-negative" from a mathematical
/// perspective, but the term "positive" is used because this is what many would expect.
/// </remarks>
public static double AnyPositiveDouble(this IAnonymousData anon, Distribution distribution)
{
Argument.NotNull(anon, nameof(anon));
return(anon.AnyDouble(0, float.MaxValue, distribution));
}
