Given
- matcherApp
match_i As (fun xs => motive[xs]) discrs (fun ys_1 => (alt_1 : motive (C_1[ys_1])) ... (fun ys_n => (alt_n : motive (C_n[ys_n]) remaining
, and - expression
e : B[discrs]
, Construct the termmatch_i As (fun xs => B[xs] -> motive[xs]) discrs (fun ys_1 (y : B[C_1[ys_1]]) => alt_1) ... (fun ys_n (y : B[C_n[ys_n]]) => alt_n) e remaining
.
We use kabstract
to abstract the discriminants from B[discrs]
.
This method assumes
- the
matcherApp.motive
is a lambda abstraction wherexs.size == discrs.size
- each alternative is a lambda abstraction where
ys_i.size == matcherApp.altNumParams[i]
This is used in in Lean.Elab.PreDefinition.WF.Fix
when replacing recursive calls with calls to
the argument provided by fix
to refine the termination argument, which may mention major
.
See there for how to use this function.
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- One or more equations did not get rendered due to their size.
Instances For
Similar to MatcherApp.addArg
, but returns none
on failure.
Equations
Instances For
Given
- matcherApp
match_i As (fun xs => motive[xs]) discrs (fun ys_1 => (alt_1 : motive (C_1[ys_1])) ... (fun ys_n => (alt_n : motive (C_n[ys_n]) remaining
, and - a expression
B[discrs]
(which may not be a type, e.g.n : Nat
), returns the expressionsfun ys_1 ... ys_i => B[C_1[ys_1]] ... B[C_n[ys_n]]
,
This method assumes
- the
matcherApp.motive
is a lambda abstraction wherexs.size == discrs.size
- each alternative is a lambda abstraction where
ys_i.size == matcherApp.altNumParams[i]
This is similar to MatcherApp.addArg
when you only have an expression to
refined, and not a type with a value.
This is used in in Lean.Elab.PreDefinition.WF.GuessFix
when constructing the context of recursive
calls to refine the functions' paramter, which may mention major
.
See there for how to use this function.
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Instances For
A non-failing version of MatcherApp.refineThrough
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Instances For
Sets the user name of the FVars in the local context according to the given array of names.
If they differ in size the shorter size wins.
Equations
- Lean.Meta.MatcherApp.withUserNames fvars names k = Lean.Meta.mapMetaM (fun {α : Type} => Lean.Meta.MatcherApp.withUserNamesImpl fvars names) k
Instances For
Performs a possibly type-changing transformation to a MatcherApp
.
onParams
is run on each parameter and discriminantonMotive
runs on the body of the motive, and is passed the motive parameters (one for eachMatcherApp.discrs
)onAlt
runs on each alternative, and is passed the expected type of the alternative, as inferred from the motiveonRemaining
runs on the remaining arguments (and may change their number)
If useSplitter
is true, the matcher is replaced with the splitter.
NB: Not all operations on MatcherApp
can handle one matcherName
is a splitter.
The array addEqualities
, if provided, indicates for which of the discriminants an equality
connecting the discriminant to the parameters of the alternative (like in match h : x with …
)
should be added (if it is isn't already there).
This function works even if the the type of alternatives do not fit the inferred type. This
allows you to post-process the MatcherApp
with MatcherApp.inferMatchType
, which will
infer a type, given all the alternatives.
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Instances For
Given a MatcherApp
, replaces the motive with one that is inferred from the actual types of the
alternatives.
For example, given
(match (motive := Nat → Unit → ?) n with
0 => 1
_ => true) ()
(for any ?
; the motive’s result type be ignored) will give this type
(match n with
| 0 => Nat
| _ => Bool)
The given MatcherApp
must not use a splitter in matcherName
.
The resulting expression will use the splitter corresponding to matcherName
(this is necessary
for the construction).
Interally, this needs to reduce the matcher in a given branch; this is done using
Split.simpMatchTarget
.
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