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Lean.Elab.PreDefinition.WF.GuessLex

This module finds lexicographic termination arguments for well-founded recursion.

Starting with basic measures (sizeOf xᵢ for all parameters xᵢ), it tries all combinations until it finds one where all proof obligations go through with the given tactic (decerasing_by), if given, or the default decreasing_tactic.

For mutual recursion, a single measure is not just one parameter, but one from each recursive function. Enumerating these can lead to a combinatoric explosion, so we bound the nubmer of measures tried.

In addition to measures derived from sizeOf xᵢ, it also considers measures that assign an order to the functions themselves. This way we can support mutual function definitions where no arguments decrease from one function to another.

The result of this module is a TerminationWF, which is then passed on to wfRecursion; this design is crucial so that whatever we infer in this module could also be written manually by the user. It would be bad if there are function definitions that can only be processed with the guessed lexicographic order.

The following optimizations are applied to make this feasible:

  1. The crucial optimiziation is to look at each argument of each recursive call once, try to prove < and (if that fails ), and then look at that table to pick a suitable measure.

  2. The next-crucial optimization is to fill that table lazily. This way, we run the (likely expensive) tactics as few times as possible, while still being able to consider a possibly large number of combinations.

  3. Before we even try to prove <, we check if the arguments are equal (=). No well-founded measure will relate equal terms, likely this check is faster than firing up the tactic engine, and it adds more signal to the output.

  4. Instead of traversing the whole function body over and over, we traverse it once and store the arguments (in unpacked form) and the local MetaM state at each recursive call (see collectRecCalls), which we then re-use for the possibly many proof attempts.

The logic here is based on “Finding Lexicographic Orders for Termination Proofs in Isabelle/HOL” by Lukas Bulwahn, Alexander Krauss, and Tobias Nipkow, 10.1007/978-3-540-74591-4_5 .

Given a predefinition, return the variabe names in the outermost lambdas. Includes the “fixed prefix”.

The length of the returned array is also used to determine the arity of the function, so it should match what packDomain does.

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    Given the original paramter names from originalVarNames, remove the fixed prefix and find good variable names to be used when talking about termination arguments: Use user-given parameter names if present; use x1...xn otherwise.

    The names ought to accessible (no macro scopes) and new names fresh wrt to the current environment, so that with showInferredTerminationBy we can print them to the user reliably. We do that by appending ' as needed.

    It is possible (but unlikely without malice) that some of the user-given names shadow each other, and the guessed relation refers to the wrong one. In that case, the user gets to keep both pieces (and may have to rename variables).

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      @[inline, reducible]
      abbrev Lean.Elab.WF.GuessLex.M (recFnName : Lake.Name) (α : Type) (β : Type) :

      Internal monad used by withRecApps

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        def Lean.Elab.WF.GuessLex.withRecApps {α : Type} (recFnName : Lake.Name) (fixedPrefixSize : Nat) (param : Lean.Expr) (e : Lean.Expr) (k : Lean.ExprArray Lean.ExprLean.MetaM α) :

        Traverses the given expression e, and invokes the continuation k at every saturated call to recFnName.

        The expression param is passed along, and refined when going under a matcher or casesOn application.

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          partial def Lean.Elab.WF.GuessLex.withRecApps.processRec {α : Type} (recFnName : Lake.Name) (fixedPrefixSize : Nat) (k : Lean.ExprArray Lean.ExprLean.MetaM α) (param : Lean.Expr) (e : Lean.Expr) :
          partial def Lean.Elab.WF.GuessLex.withRecApps.processApp {α : Type} (recFnName : Lake.Name) (fixedPrefixSize : Nat) (k : Lean.ExprArray Lean.ExprLean.MetaM α) (param : Lean.Expr) (e : Lean.Expr) :
          partial def Lean.Elab.WF.GuessLex.withRecApps.loop {α : Type} (recFnName : Lake.Name) (fixedPrefixSize : Nat) (k : Lean.ExprArray Lean.ExprLean.MetaM α) (param : Lean.Expr) (e : Lean.Expr) :

          A SavedLocalContext captures the state and local context of a MetaM, to be continued later.

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            Capture the MetaM state including local context.

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              Run a MetaM action in the saved state.

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                A RecCallWithContext focuses on a single recursive call in a unary predefinition, and runs the given action in the context of that call.

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                  Store the current recursive call and its context.

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                    The elaborator is prone to duplicate terms, including recursive calls, even if the user only wrote a single one. This duplication is wasteful if we run the tactics on duplicated calls, and confusing in the output of GuessLex. So prune the list of recursive calls, and remove those where another call exists that has the same goal and context that is no more specific.

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                      Traverse a unary PreDefinition, and returns a WithRecCall closure for each recursive call site.

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                        A GuessLexRel described how a recursive call affects a measure; whether it decreases strictly, non-strictly, is equal, or else.

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                          Given a GuessLexRel, produce a binary Expr that relates two Nat values accordingly.

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                            Given an expression e, produce sizeOf e with a suitable instance.

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                              For a given recursive call, and a choice of parameter and argument index, try to prove equality, < or ≤.

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                                Create a cache to memoize calls to evalRecCall descTactic? rcc

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                                  Run evalRecCall and cache there result

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                                    Print a single cache entry as a string, without forcing it

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                                      The measures that we order lexicographically can be comparing arguments, or numbering the functions

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                                        Evaluate a recursive call at a given MutualMeasure

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                                          Given a predefinition with value fun (x_₁ ... xₙ) (y_₁ : α₁)... (yₘ : αₘ) => ..., where n = fixedPrefixSize, return an array A s.t. i ∈ A iff sizeOf yᵢ reduces to a literal. This is the case for types such as Prop, Type u, etc. These arguments should not be considered when guessing a well-founded relation. See generateCombinations?

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                                            def Lean.Elab.WF.GuessLex.generateCombinations? (forbiddenArgs : Array (Array Nat)) (numArgs : Array Nat) (threshold : optParam Nat 32) :

                                            Generate all combination of arguments, skipping those that are forbidden.

                                            Sorts the uniform combinations ([0,0,0], [1,1,1]) to the front; they are commonly most useful to try first, when the mutually recursive functions have similar argument structures

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                                                partial def Lean.Elab.WF.GuessLex.generateCombinations?.go (forbiddenArgs : Array (Array Nat)) (numArgs : Array Nat) (threshold : optParam Nat 32) (fidx : Nat) :

                                                Enumerate all meausures we want to try: All arguments (resp. combinations thereof) and possible orderings of functions (if more than one)

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                                                  def Lean.Elab.WF.GuessLex.solve {m : TypeType} {α : Type} [Monad m] (measures : Array α) (calls : Array (αm Lean.Elab.WF.GuessLex.GuessLexRel)) :
                                                  m (Option (Array α))

                                                  The core logic of guessing the lexicographic order Given a matrix that for each call and measure indicates whether that measure is decreasing, equal, less-or-equal or unknown, It finds a sequence of measures that is lexicographically decreasing.

                                                  The matrix is implemented here as an array of monadic query methods only so that we can fill is lazily. Morally, this is a pure function

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                                                    partial def Lean.Elab.WF.GuessLex.solve.go {m : TypeType} {α : Type} [Monad m] (measures : Array α) (calls : Array (αm Lean.Elab.WF.GuessLex.GuessLexRel)) (acc : Array α) :
                                                    m (Option (Array α))

                                                    Create Tuple syntax (() if the array is empty, and just the value if its a singleton)

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                                                      Given an array of MutualMeasures, creates a TerminationWF that specifies the lexicographic combination of these measures. The parameters are

                                                      • originalVarNamess: For each function in the clique, the original parameter names, including the fixed prefix. Used to determine if we need to fully qualify sizeOf.
                                                      • varNamess: For each function in the clique, the parameter names to be used in the termination relation. Excludes the fixed prefix. Includes names like x1 for unnamed parameters.
                                                      • measures: The measures to be used.
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                                                        The TerminationWF produced by GuessLex may mention more variables than allowed in the surface syntax (in case of unnamed or shadowed parameters). So how to print this to the user? Invalid syntax with more information, or valid syntax with (possibly) unresolved variable names? The latter works fine in many cases, and is still useful to the user in the tricky corner cases, so we do that.

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                                                          Given a matrix (row-major) of strings, arranges them in tabular form. First column is left-aligned, others right-aligned. Single space as column separator.

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                                                            Concise textual representation of the source location of a recursive call

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                                                              Explain what we found out about the recursive calls (non-mutual case)

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                                                                Explain what we found out about the recursive calls (mutual case)

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                                                                    Main entry point of this module:

                                                                    Try to find a lexicographic ordering of the arguments for which the recursive definition terminates. See the module doc string for a high-level overview.

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