funProp
#
this file defines environment extension for funProp
Indicated origin of a function or a statement.
- decl: Lean.Name → Mathlib.Meta.FunProp.Origin
It is a constant defined in the environment.
- fvar: Lean.FVarId → Mathlib.Meta.FunProp.Origin
It is a free variable in the local context.
Instances For
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- Mathlib.Meta.FunProp.instInhabitedOrigin = { default := Mathlib.Meta.FunProp.Origin.decl default }
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Name of the origin.
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- (Mathlib.Meta.FunProp.Origin.decl name).name = name
- (Mathlib.Meta.FunProp.Origin.fvar id).name = id.name
Instances For
Get the expression specified by origin
.
Equations
- (Mathlib.Meta.FunProp.Origin.decl name).getValue = Lean.Meta.mkConstWithFreshMVarLevels name
- (Mathlib.Meta.FunProp.Origin.fvar id).getValue = pure (Lean.Expr.fvar id)
Instances For
Pretty print FunProp.Origin
.
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- Mathlib.Meta.FunProp.ppOrigin (Mathlib.Meta.FunProp.Origin.fvar id) = pure (Lean.MessageData.ofExpr (Lean.mkFVar id))
Instances For
Pretty print FunProp.Origin
. Returns string unlike ppOrigin
.
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- Mathlib.Meta.FunProp.ppOrigin' origin = pure (toString origin.name)
Instances For
Get origin of the head function.
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Default names to be considered reducible by fun_prop
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- Mathlib.Meta.FunProp.defaultNamesToUnfold = #[`id, `Function.comp, `Function.HasUncurry.uncurry, `Function.uncurry]
Instances For
fun_prop
configuration
- maxTransitionDepth : ℕ
Maximum number of transitions between function properties. For example inferring continuity from differentiability and then differentiability from smoothness (
ContDiff ℝ ∞
) requiresmaxTransitionDepth = 2
. The default value of one expects that transition theorems are transitively closed e.g. there is a transition theorem that infers continuity directly from smoothenss.Setting
maxTransitionDepth
to zero will disable all transition theorems. This can be very useful whenfun_prop
should fail quickly. For example when usingfun_prop
as discharger insimp
. - maxSteps : ℕ
Maximum number of steps
fun_prop
can take.
Instances For
Equations
- Mathlib.Meta.FunProp.instInhabitedConfig = { default := { maxTransitionDepth := default, maxSteps := default } }
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fun_prop
context
- config : Mathlib.Meta.FunProp.Config
fun_prop config
- constToUnfold : Batteries.RBSet Lean.Name Lean.Name.quickCmp
Name to unfold
- disch : Lean.Expr → Lean.MetaM (Option Lean.Expr)
Custom discharger to satisfy theorem hypotheses.
- transitionDepth : ℕ
current transition depth
Instances For
fun_prop
state
- cache : Lean.Meta.Simp.Cache
Simp's cache is used as the
fun_prop
tactic is designed to be used inside of simp and utilize its cache. It holds successful goals. - failureCache : Lean.ExprSet
Cache storing failed goals such that they are not tried again.
- numSteps : ℕ
Count the number of steps and stop when maxSteps is reached.
Log progress and failures messages that should be displayed to the user at the end.
Instances For
Increase depth
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Monad to run fun_prop
tactic in.
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Default names to unfold
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Get predicate on names indicating if theys shoulds be unfolded.
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Instances For
Increase heartbeat, throws error when maxSteps
was reached
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Instances For
Increase transition depth. Return none
if maximum transition depth has been reached.
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Instances For
Log error message that will displayed to the user at the end.
Messages are logged only when transitionDepth = 0
i.e. when fun_prop
is not trying to infer
function property like continuity from another property like differentiability.
The main reason is that if the user forgets to add a continuity theorem for function foo
then
fun_prop
should report that there is a continuity theorem for foo
missing. If we would log
messages transitionDepth > 0
then user will see messages saying that there is a missing theorem
for differentiability, smoothness, ... for foo
.
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