Safe Haskell | None |
---|---|
Language | Haskell2010 |
Synopsis
- newtype Size = Size { }
- data Range a = Range !a ( Size -> (a, a))
- origin :: Range a -> a
- bounds :: Size -> Range a -> (a, a)
- lowerBound :: Ord a => Size -> Range a -> a
- upperBound :: Ord a => Size -> Range a -> a
- singleton :: a -> Range a
- constant :: a -> a -> Range a
- constantFrom :: a -> a -> a -> Range a
- constantBounded :: ( Bounded a, Num a) => Range a
- linear :: Integral a => a -> a -> Range a
- linearFrom :: Integral a => a -> a -> a -> Range a
- linearFrac :: ( Fractional a, Ord a) => a -> a -> Range a
- linearFracFrom :: ( Fractional a, Ord a) => a -> a -> a -> Range a
- linearBounded :: ( Bounded a, Integral a) => Range a
- exponential :: Integral a => a -> a -> Range a
- exponentialFrom :: Integral a => a -> a -> a -> Range a
- exponentialBounded :: ( Bounded a, Integral a) => Range a
- exponentialFloat :: ( Floating a, Ord a) => a -> a -> Range a
- exponentialFloatFrom :: ( Floating a, Ord a) => a -> a -> a -> Range a
- clamp :: Ord a => a -> a -> a -> a
- scaleLinear :: Integral a => Size -> a -> a -> a
- scaleLinearFrac :: Fractional a => Size -> a -> a -> a
- scaleExponential :: Integral a => Size -> a -> a -> a
- scaleExponentialFloat :: Floating a => Size -> a -> a -> a
Size
Tests are parameterized by the size of the randomly-generated data. The
meaning of a
Size
value depends on the particular generator used, but
it must always be a number between 0 and 99 inclusive.
Instances
Enum Size Source # | |
Eq Size Source # | |
Integral Size Source # | |
Defined in Hedgehog.Internal.Range |
|
Num Size Source # | |
Ord Size Source # | |
Defined in Hedgehog.Internal.Range |
|
Read Size Source # | |
Real Size Source # | |
Defined in Hedgehog.Internal.Range toRational :: Size -> Rational Source # |
|
Show Size Source # | |
Range
origin :: Range a -> a Source #
Get the origin of a range. This might be the mid-point or the lower bound, depending on what the range represents.
The
bounds
of a range are scaled around this value when using the
linear
family of combinators.
When using a
Range
to generate numbers, the shrinking function will
shrink towards the origin.
lowerBound :: Ord a => Size -> Range a -> a Source #
Get the lower bound of a range for the given size.
upperBound :: Ord a => Size -> Range a -> a Source #
Get the upper bound of a range for the given size.
Constant
singleton :: a -> Range a Source #
Construct a range which represents a constant single value.
>>>
bounds x $ singleton 5
(5,5)
>>>
origin $ singleton 5
5
constant :: a -> a -> Range a Source #
Construct a range which is unaffected by the size parameter.
A range from
0
to
10
, with the origin at
0
:
>>>
bounds x $ constant 0 10
(0,10)
>>>
origin $ constant 0 10
0
:: a |
Origin (the value produced when the size parameter is 0). |
-> a |
Lower bound (the bottom of the range when the size parameter is 99). |
-> a |
Upper bound (the top of the range when the size parameter is 99). |
-> Range a |
Construct a range which is unaffected by the size parameter with a origin point which may differ from the bounds.
A range from
-10
to
10
, with the origin at
0
:
>>>
bounds x $ constantFrom 0 (-10) 10
(-10,10)
>>>
origin $ constantFrom 0 (-10) 10
0
A range from
1970
to
2100
, with the origin at
2000
:
>>>
bounds x $ constantFrom 2000 1970 2100
(1970,2100)
>>>
origin $ constantFrom 2000 1970 2100
2000
constantBounded :: ( Bounded a, Num a) => Range a Source #
Construct a range which is unaffected by the size parameter using the full range of a data type.
A range from
-128
to
127
, with the origin at
0
:
>>>
bounds x (constantBounded :: Range Int8)
(-128,127)
>>>
origin (constantBounded :: Range Int8)
0
Linear
linear :: Integral a => a -> a -> Range a Source #
Construct a range which scales the second bound relative to the size parameter.
>>>
bounds 0 $ linear 0 10
(0,0)
>>>
bounds 50 $ linear 0 10
(0,5)
>>>
bounds 99 $ linear 0 10
(0,10)
:: Integral a | |
=> a |
Origin (the value produced when the size parameter is 0). |
-> a |
Lower bound (the bottom of the range when the size parameter is 99). |
-> a |
Upper bound (the top of the range when the size parameter is 99). |
-> Range a |
Construct a range which scales the bounds relative to the size parameter.
>>>
bounds 0 $ linearFrom 0 (-10) 10
(0,0)
>>>
bounds 50 $ linearFrom 0 (-10) 20
(-5,10)
>>>
bounds 99 $ linearFrom 0 (-10) 20
(-10,20)
linearFrac :: ( Fractional a, Ord a) => a -> a -> Range a Source #
Construct a range which scales the second bound relative to the size parameter.
This works the same as
linear
, but for fractional values.
linearFracFrom :: ( Fractional a, Ord a) => a -> a -> a -> Range a Source #
Construct a range which scales the bounds relative to the size parameter.
This works the same as
linearFrom
, but for fractional values.
linearBounded :: ( Bounded a, Integral a) => Range a Source #
Construct a range which is scaled relative to the size parameter and uses the full range of a data type.
>>>
bounds 0 (linearBounded :: Range Int8)
(0,0)
>>>
bounds 50 (linearBounded :: Range Int8)
(-64,64)
>>>
bounds 99 (linearBounded :: Range Int8)
(-128,127)
Exponential
exponential :: Integral a => a -> a -> Range a Source #
Construct a range which scales the second bound exponentially relative to the size parameter.
>>>
bounds 0 $ exponential 1 512
(1,1)
>>>
bounds 11 $ exponential 1 512
(1,2)
>>>
bounds 22 $ exponential 1 512
(1,4)
>>>
bounds 77 $ exponential 1 512
(1,128)
>>>
bounds 88 $ exponential 1 512
(1,256)
>>>
bounds 99 $ exponential 1 512
(1,512)
:: Integral a | |
=> a |
Origin (the value produced when the size parameter is 0). |
-> a |
Lower bound (the bottom of the range when the size parameter is 99). |
-> a |
Upper bound (the top of the range when the size parameter is 99). |
-> Range a |
Construct a range which scales the bounds exponentially relative to the size parameter.
>>>
bounds 0 $ exponentialFrom 0 (-128) 512
(0,0)
>>>
bounds 25 $ exponentialFrom 0 (-128) 512
(-2,4)
>>>
bounds 50 $ exponentialFrom 0 (-128) 512
(-11,22)
>>>
bounds 75 $ exponentialFrom 0 (-128) 512
(-39,112)
>>>
bounds 99 $ exponentialFrom x (-128) 512
(-128,512)
exponentialBounded :: ( Bounded a, Integral a) => Range a Source #
Construct a range which is scaled exponentially relative to the size parameter and uses the full range of a data type.
>>>
bounds 0 (exponentialBounded :: Range Int8)
(0,0)
>>>
bounds 50 (exponentialBounded :: Range Int8)
(-11,11)
>>>
bounds 99 (exponentialBounded :: Range Int8)
(-128,127)
exponentialFloat :: ( Floating a, Ord a) => a -> a -> Range a Source #
Construct a range which scales the second bound exponentially relative to the size parameter.
This works the same as
exponential
, but for floating-point values.
>>>
bounds 0 $ exponentialFloat 0 10
(0.0,0.0)
>>>
bounds 50 $ exponentialFloat 0 10
(0.0,2.357035250656098)
>>>
bounds 99 $ exponentialFloat 0 10
(0.0,10.0)
exponentialFloatFrom :: ( Floating a, Ord a) => a -> a -> a -> Range a Source #
Construct a range which scales the bounds exponentially relative to the size parameter.
This works the same as
exponentialFrom
, but for floating-point values.
>>>
bounds 0 $ exponentialFloatFrom 0 (-10) 20
(0.0,0.0)
>>>
bounds 50 $ exponentialFloatFrom 0 (-10) 20
(-2.357035250656098,3.6535836249197002)
>>>
bounds 99 $ exponentialFloatFrom x (-10) 20
(-10.0,20.0)
Internal
These functions are exported in case you need them in a pinch, but are not part of the public API and may change at any time, even as part of a minor update.
clamp :: Ord a => a -> a -> a -> a Source #
Truncate a value so it stays within some range.
>>>
clamp 5 10 15
10
>>>
clamp 5 10 0
5
scaleLinear :: Integral a => Size -> a -> a -> a Source #
Scale an integral linearly with the size parameter.
scaleLinearFrac :: Fractional a => Size -> a -> a -> a Source #
Scale a fractional number linearly with the size parameter.
scaleExponential :: Integral a => Size -> a -> a -> a Source #
Scale an integral exponentially with the size parameter.
scaleExponentialFloat :: Floating a => Size -> a -> a -> a Source #
Scale a floating-point number exponentially with the size parameter.