Equation | Solve Math expressions , create equations | Math library
kandi X-RAY | Equation Summary
kandi X-RAY | Equation Summary
Solve Math expressions, create equations, define operators and constants
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Top functions reviewed by kandi - BETA
- wrap the yield method
- Creates an iterator over iterator over promises .
- Returns iterator over iterable values .
- Enqueue a promise to the async generator .
- Run clearTimeout .
- Invoke the generator
- Handle setTimeout .
- Drill the queue .
- set a property
- Adds a try to the stack .
Equation Key Features
Equation Examples and Code Snippets
Community Discussions
Trending Discussions on Equation
QUESTION
I have a very simple snippet:
...ANSWER
Answered 2022-Jan-28 at 18:58Use pure
from Control.Functor.Linear instead, as well as the IO
from System.IO.Linear, because contents of Prelude
are simply not declared as linear.
Note that this even simpler example does not compile too:
QUESTION
I'm trying to express an idea that given
...ANSWER
Answered 2022-Jan-25 at 19:53You get the exact same error with the slightly simpler definition of Foo c m
given here:
QUESTION
Consider this type:
...ANSWER
Answered 2021-Dec-08 at 01:57If you provide the applicative functor to liftA3
, then the following typechecks:
QUESTION
(Disclaimer: I'm not 100% sure how codatatype works, especially when not referring to terminal algebras).
Consider the "category of types", something like Hask but with whatever adjustment that fits the discussion. Within such a category, it is said that (1) the initial algebras define datatypes, and (2) terminal algebras define codatatypes.
I'm struggling to convince myself of (2).
Consider the functor T(t) = 1 + a * t
. I agree that the initial T
-algebra is well-defined and indeed defines [a]
, the list of a
. By definition, the initial T
-algebra is a type X
together with a function f :: 1+a*X -> X
, such that for any other type Y
and function g :: 1+a*Y -> Y
, there is exactly one function m :: X -> Y
such that m . f = g . T(m)
(where .
denotes the function combination operator as in Haskell). With f
interpreted as the list constructor(s), g
the initial value and the step function, and T(m)
the recursion operation, the equation essentially asserts the unique existance of the function m
given any initial value and any step function defined in g
, which necessitates an underlying well-behaved fold
together with the underlying type, the list of a
.
For example, g :: Unit + (a, Nat) -> Nat
could be () -> 0 | (_,n) -> n+1
, in which case m
defines the length function, or g
could be () -> 0 | (_,n) -> 0
, then m
defines a constant zero function. An important fact here is that, for whatever g
, m
can always be uniquely defined, just as fold
does not impose any contraint on its arguments and always produce a unique well-defined result.
This does not seem to hold for terminal algebras.
Consider the same functor T
defined above. The definition of the terminal T
-algebra is the same as the initial one, except that m
is now of type X -> Y
and the equation now becomes m . g = f . T(m)
. It is said that this should define a potentially infinite list.
I agree that this is sometimes true. For example, when g :: Unit + (Unit, Int) -> Int
is defined as () -> 0 | (_,n) -> n+1
like before, m
then behaves such that m(0) = ()
and m(n+1) = Cons () m(n)
. For non-negative n
, m(n)
should be a finite list of units. For any negative n
, m(n)
should be of infinite length. It can be verified that the equation above holds for such g
and m
.
With any of the two following modified definition of g
, however, I don't see any well-defined m
anymore.
First, when g
is again () -> 0 | (_,n) -> n+1
but is of type g :: Unit + (Bool, Int) -> Int
, m
must satisfy that m(g((b,i))) = Cons b m(g(i))
, which means that the result depends on b
. But this is impossible, because m(g((b,i)))
is really just m(i+1)
which has no mentioning of b
whatsoever, so the equation is not well-defined.
Second, when g
is again of type g :: Unit + (Unit, Int) -> Int
but is defined as the constant zero function g _ = 0
, m
must satisfy that m(g(())) = Nil
and m(g(((),i))) = Cons () m(g(i))
, which are contradictory because their left hand sides are the same, both being m(0)
, while the right hand sides are never the same.
In summary, there are T
-algebras that have no morphism into the supposed terminal T
-algebra, which implies that the terminal T
-algebra does not exist. The theoretical modeling of the codatatype Stream (or infinite list), if any, cannot be based on the nonexistant terminal algebra of the functor T(t) = 1 + a * t
.
Many thanks to any hint of any flaw in the story above.
...ANSWER
Answered 2021-Nov-26 at 19:57(2) terminal algebras define codatatypes.
This is not right, codatatypes are terminal coalgebras. For your T
functor, a coalgebra is a type x
together with f :: x -> T x
. A T
-coalgebra morphism between (x1, f1)
and (x2, f2)
is a g :: x1 -> x2
such that fmap g . f1 = f2 . g
. Using this definition, the terminal T
-algebra defines the possibly infinite lists (so-called "colists"), and the terminality is witnessed by the unfold
function:
QUESTION
I have the following Rank 2 function:
...ANSWER
Answered 2021-Nov-01 at 11:45The issue is that GHC < 9.x does not support impredicative polymorphism. Essentially, what you are trying to do is to instantiate
QUESTION
Given numbers 1 to 3n, construct n equations of the form a + b = c
or a x b = c
such that each number is used exactly once. For example:
ANSWER
Answered 2021-Oct-09 at 23:01This looks like a combinatorial problem where its "messiness" suggests no mathematical answer can be formulated. The cheer number of allowed combinations makes it ever more likely that each n
has a valid solution, especially given that for small n
you already found solutions.
Finding solutions for larger n
can be tricky. One approach is called "simulated annealing", where you would take a random set of equations, I try to improve it step by step. "Bad equations" (i.e. equations that have numbers overlapping with others in the set) get removed, and new equations are tried.
Whatever approach is used, it probably can be speed up with heuristics. Such as start creating equations for numbers that show up in the least number of possible equations.
A somewhat related problem is called "graceful labeling", which has no definite answer and for which similar algorithms are appropriate.
Here is an approach using z3py, a library which implements a sat/smt solver.
First, for each number, a list of possible expressions is made. For each possible expression, a symbolic boolean indicates whether the expression will be used in the solution. To have a valid solution, for each number, exactly one of its possible expressions should be True.
QUESTION
"Use the below function with two parameters:
...ANSWER
Answered 2021-Oct-08 at 17:01You can not use (!!) :: [a] -> Int -> a
since, as the signature says, it works on lists, not tuples. You can work with pattern matching and implement this as:
QUESTION
In Haskell (at least with GHC v8.8.4), being in the Num
class does NOT imply being in the Eq
class:
ANSWER
Answered 2021-Sep-01 at 00:20Integer literals can't be compared without using Eq
. But that's not what is happening, either.
In GHCi, under NoMonomorphismRestriction
(which is default in GHCi nowadays; not sure about in GHC 8.8.4) x = 42
results in a variable x
of type forall p :: Num p => p
.1
Then you do y = 43
, which similarly results in the variable y
having type forall q. Num q => q
.2
Then you enter x == y
, and GHCi has to evaluate in order to print True
or False
. That evaluation cannot be done without picking a concrete type for both p
and q
(which has to be the same). Each type has its own code for the definition of ==
, so there's no way to run the code for ==
without deciding which type's code to use.3
However each of x
and y
can be used as any type in Num
(because they have a definition that works for all of them)4. So we can just use (x :: Int) == y
and the compiler will determine that it should use the Int
definition for ==
, or x == (y :: Double)
to use the Double
definition. We can even do this repeatedly with different types! None of these uses change the type of x
or y
; we're just using them each time at one of the (many) types they support.
Without the concept of defaulting, a bare x == y
would just produce an Ambiguous type variable
error from the compiler. The language designers thought that would be extremely common and extremely annoying with numeric literals in particular (because the literals are polymorphic, but as soon as you do any operation on them you need a concrete type). So they introduced rules that some ambiguous type variables should be defaulted to a concrete type if that allows compilation to continue.5
So what is actually happening when you do x == y
is that the compiler is just picking Integer
to use for x
and y
in that particular expression, because you haven't given it enough information to pin down any particular type (and because the defaulting rules apply in this situation). Integer
has an Eq
instance so it can use that, even though the most general types of x
and y
don't include the Eq
constraint. Without picking something it couldn't possibly even attempt to call ==
(and of course the "something" it picks has to be in Eq
or it still won't work).
If you turn on -Wtype-defaults
(which is included in -Wall
), the compiler will print a warning whenever it applies defaulting6, which makes the process more visible.
1 The forall p
part is implicit in standard Haskell, because all type variables are automatically introduced with forall
at the beginning of the type expression in which they appear. You have to turn on extensions to even write the forall
manually; either ExplicitForAll
just for the ability to write forall
, or any one of the many extensions that actually add functionality that makes forall
useful to write explicitly.
2 GHCi will probably pick p
again for the type variable, rather than q
. I'm just using a different one to emphasise that they're different variables.
3 Technically it's not each type that necessarily has a different ==
, but each Eq
instance. Some of those instances are polymorphic, so they apply to multiple types, but that only really comes up with types that have some structure (like Maybe a
, etc). Basic types like Int
, Integer
, Double
, Char
, Bool
, each have their own instance, and each of those instances has its own code for ==
.
4 In the underlying system, a type like forall p. Num p => p
is in fact much like a function; one that takes a Num
instance for a concrete type as a parameter. To get a concrete value you have to first "apply the function" to a type's Num
instance, and only then do you get an actual value that could be printed, compared with other things, etc. In standard Haskell these instance parameters are always invisibly passed around by the compiler; some extensions allow you to manipulate this process a little more directly.
This is the root of what's confusing about why x == y
works when x
and y
are polymorphic variables. If you had to explicitly pass around the type/instance arguments it would be obvious what's going on here, because you would have to manually apply both x
and y
to something and compare the results.
5 The gist of the default rules is that if the constraints on an ambiguous type variable are:
- all built-in classes
- at least one of them is a numeric class (
Num
,Floating
, etc)
then GHC will try Integer
to see if that type checks and allows all other constraints to be resolved. If that doesn't work it will try Double
, and if that doesn't work then it reports an error.
You can set the types it will try with a default
declaration (the "default default" being default (Integer, Double)
), but you can't customise the conditions under which it will try to default things, so changing the default types is of limited use in my experience.
GHCi however comes with extended default rules that are a bit more useful in an interpreter (because it has to do type inference line-by-line instead of on the whole module at once). You can turn those on in compiled code with ExtendedDefaultRules
extension (or turn them off in GHCi with NoExtendedDefaultRules
), but again, neither of those options is particularly useful in my experience. It's annoying that the interpreter and the compiler behave differently, but the fundamental difference between module-at-a-time compilation and line-at-a-time interpretation mean that switching either's default rules to work consistently with the other is even more annoying. (This is also why NoMonomorphismRestriction
is in effect by default in the interpreter now; the monomorphism restriction does a decent job at achieving its goals in compiled code but is almost always wrong in interpreter sessions).
6 You can also use a typed hole in combination with the asTypeOf
helper to get GHC to tell you what type it's inferring for a sub-expression like this:
QUESTION
While I was going through the haskell-excercises questions. I saw the following code which creates an aggregate Constraint
by applying each type to a Constraint constructor. In GHC it seems deeply nested tuples of Constraint
s are still of kind Constraint
(perhaps flattened ?).
ANSWER
Answered 2021-Aug-10 at 20:02There is a syntactic pun here. There are actually several different commas, with differing kinds:
QUESTION
I cannot implement an instance of Eq
for the following typesafe DSL for expressions implemented with GADTs.
ANSWER
Answered 2021-Jun-25 at 06:43Your issue is that in
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