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@@ -29,6 +29,7 @@ Ognjen Jevremović <[email protected]>
 Philipp Burckhardt <[email protected]>
 Pranav Goswami <[email protected]>
 Ricky Reusser <[email protected]>
+Robert Gislason <[email protected]>
 Roman Stetsyk <[email protected]>
 Ryan Seal <[email protected]>
 Seyyed Parsa Neshaei <[email protected]>
@@ -37,4 +38,3 @@ Stephannie Jiménez Gacha <[email protected]>
 Yernar Yergaziyev <[email protected]>
 orimiles5 <[email protected]>
 rei2hu <[email protected]>
-Robert Gislason <[email protected]>

data/data.csv

@@ -830,6 +830,7 @@ base.expm1rel,"\nbase.expm1rel( x )\n    Relative error exponential.\n\n    When
 base.exponent,"\nbase.exponent( x )\n    Returns an integer corresponding to the unbiased exponent of a double-\n    precision floating-point number.\n\n    Parameters\n    ----------\n    x: number\n        Double-precision floating-point number.\n\n    Returns\n    -------\n    out: integer\n        Unbiased exponent.\n\n    Examples\n    --------\n    > var exponent = base.exponent( 3.14e-307 )\n    -1019\n    > exponent = base.exponent( -3.14 )\n    1\n    > exponent = base.exponent( 0.0 )\n    -1023\n    > exponent = base.exponent( NaN )\n    1024\n\n    See Also\n    --------\n    base.exponentf\n"
 base.exponentf,"\nbase.exponentf( x )\n    Returns an integer corresponding to the unbiased exponent of a single-\n    precision floating-point number.\n\n    Parameters\n    ----------\n    x: float\n        Single-precision floating-point number.\n\n    Returns\n    -------\n    out: integer\n        Unbiased exponent.\n\n    Examples\n    --------\n    > var exponent = base.exponentf( base.float64ToFloat32( 3.14e34 ) )\n    114\n    > exponent = base.exponentf( base.float64ToFloat32( 3.14e-34 ) )\n    -112\n    > exponent = base.exponentf( base.float64ToFloat32( -3.14 ) )\n    1\n    > exponent = base.exponentf( 0.0 )\n    -127\n    > exponent = base.exponentf( NaN )\n    128\n\n    See Also\n    --------\n    base.exponent\n"
 base.factorial,"\nbase.factorial( x )\n    Evaluates the factorial of `x`.\n\n    If provided `NaN`, the function returns `NaN`.\n\n    Parameters\n    ----------\n    x: number\n        Input value.\n\n    Returns\n    -------\n    y: number\n        Factorial.\n\n    Examples\n    --------\n    > var y = base.factorial( 3.0 )\n    6.0\n    > y = base.factorial( -1.5 )\n    ~-3.545\n    > y = base.factorial( -0.5 )\n    ~1.772\n    > y = base.factorial( 0.5 )\n    ~0.886\n    > y = base.factorial( -10.0 )\n    NaN\n    > y = base.factorial( 171.0 )\n    Infinity\n    > y = base.factorial( NaN )\n    NaN\n\n    See Also\n    --------\n    base.factorialln\n"
+base.factorial2,"\nbase.factorial2( n )\n    Evaluates the double factorial of `n`.\n\n    If provided `NaN`, the function returns `NaN`.\n\n    Parameters\n    ----------\n    n: number\n        Input value.\n\n    Returns\n    -------\n    y: number\n        Double factorial.\n\n    Examples\n    --------\n    > var y = base.factorial2( 3 )\n    3\n    > y = base.factorial2( 5 )\n    15\n    > y = base.factorial2( 6 )\n    48\n    > y = base.factorial2( 301 )\n    Infinity\n    > y = base.factorial2( NaN )\n    NaN\n\n    See Also\n    --------\n    base.factorial\n"
 base.factorialln,"\nbase.factorialln( x )\n    Evaluates the natural logarithm of the factorial of `x`.\n\n    For input values other than negative integers, the function returns\n\n      ln( x! ) = ln( Γ(x+1) )\n\n    where `Γ` is the Gamma function. For negative integers, the function returns\n    `NaN`.\n\n    If provided `NaN`, the function returns `NaN`.\n\n    Parameters\n    ----------\n    x: number\n        Input value.\n\n    Returns\n    -------\n    y: number\n        Natural logarithm of the factorial of `x`.\n\n    Examples\n    --------\n    > var y = base.factorialln( 3.0 )\n    ~1.792\n    > y = base.factorialln( 2.4 )\n    ~1.092\n    > y = base.factorialln( -1.0 )\n    NaN\n    > y = base.factorialln( -1.5 )\n    ~1.266\n    > y = base.factorialln( NaN )\n    NaN\n\n    See Also\n    --------\n    base.factorial\n"
 base.fallingFactorial,"\nbase.fallingFactorial( x, n )\n    Computes the falling factorial of `x` and `n`.\n\n    If not provided a nonnegative integer for `n`, the function returns `NaN`.\n\n    If provided `NaN` as any argument, the function returns `NaN`.\n\n    Parameters\n    ----------\n    x: number\n        First function parameter.\n\n    n: integer\n        Second function parameter.\n\n    Returns\n    -------\n    y: number\n        Function value.\n\n    Examples\n    --------\n    > var v = base.fallingFactorial( 0.9, 5 )\n    ~0.644\n    > v = base.fallingFactorial( -9.0, 3 )\n    -990.0\n    > v = base.fallingFactorial( 0.0, 2 )\n    0.0\n    > v = base.fallingFactorial( 3.0, -2 )\n    NaN\n\n    See Also\n    --------\n    base.risingFactorial\n"
 base.fibonacci,"\nbase.fibonacci( n )\n    Computes the nth Fibonacci number.\n\n    Fibonacci numbers follow the recurrence relation\n\n      F_n = F_{n-1} + F_{n-2}\n\n    with seed values F_0 = 0 and F_1 = 1.\n\n    If `n` is greater than `78`, the function returns `NaN`, as larger Fibonacci\n    numbers cannot be accurately represented due to limitations of double-\n    precision floating-point format.\n\n    If not provided a nonnegative integer value, the function returns `NaN`.\n\n    If provided `NaN`, the function returns `NaN`.\n\n    Parameters\n    ----------\n    n: integer\n        Input value.\n\n    Returns\n    -------\n    y: integer\n        Fibonacci number.\n\n    Examples\n    --------\n    > var y = base.fibonacci( 0 )\n    0\n    > y = base.fibonacci( 1 )\n    1\n    > y = base.fibonacci( 2 )\n    1\n    > y = base.fibonacci( 3 )\n    2\n    > y = base.fibonacci( 4 )\n    3\n    > y = base.fibonacci( 79 )\n    NaN\n    > y = base.fibonacci( NaN )\n    NaN\n\n    See Also\n    --------\n    base.binet, base.fibonacciIndex, base.lucas, base.negafibonacci\n"