Documentation

Mathlib.Tactic.NormNum.Core

norm_num core functionality #

This file sets up the norm_num tactic and the @[norm_num] attribute, which allow for plugging in new normalization functionality around a simp-based driver. The actual behavior is in @[norm_num]-tagged definitions in Tactic.NormNum.Basic and elsewhere.

@[norm_num e], where e is an expression (optionally with _s) adds the tagged definition, of type NormNumExt, to the set of normalization procedures used by the norm_num tactic, such that it will fire on expressions matching the form e. Use holes in e to indicate arbitrary subexpressions, for example @[norm_num _ + _] will match any addition.

  • @[norm_num e1, e2, ...] will match either e1 or e2 or ...

Example:

@[norm_num -_] def evalNeg : NormNumExt where eval {u α} e := do
  let .app (f : Q($α → $α)) (a : Q($α)) ← whnfR e | failure
  let ra ← derive a
  let rα ← inferRing α
  ra.neg
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    An extension for norm_num.

    • pre : Bool

      The extension should be run in the pre phase when used as simp plugin.

    • post : Bool

      The extension should be run in the post phase when used as simp plugin.

    • eval {u : Lean.Level} {α : Q(Type u)} (e : Q(«$α»)) : Lean.MetaM (Result e)

      Attempts to prove an expression is equal to some explicit number of the relevant type.

    • name : Lean.Name

      The name of the norm_num extension.

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      Read a norm_num extension from a declaration of the right type.

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        @[reducible, inline]

        Each norm_num extension is labelled with a collection of patterns which determine the expressions to which it should be applied.

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          The state of the norm_num extension environment

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            def Mathlib.Meta.NormNum.derive {u : Lean.Level} {α : Q(Type u)} (e : Q(«$α»)) (post : Bool := false) :

            Run each registered norm_num extension on an expression, returning a NormNum.Result.

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              def Mathlib.Meta.NormNum.deriveNat {u : Lean.Level} {α : Q(Type u)} (e : Q(«$α»)) (_inst : Q(AddMonoidWithOne «$α») := by with_reducible assumption) :
              Lean.MetaM ((lit : Q()) × Q(IsNat «$e» «$lit»))

              Run each registered norm_num extension on a typed expression e : α, returning a typed expression lit : ℕ, and a proof of isNat e lit.

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                def Mathlib.Meta.NormNum.deriveInt {u : Lean.Level} {α : Q(Type u)} (e : Q(«$α»)) (_inst : Q(Ring «$α») := by with_reducible assumption) :
                Lean.MetaM ((lit : Q()) × Q(IsInt «$e» «$lit»))

                Run each registered norm_num extension on a typed expression e : α, returning a typed expression lit : ℤ, and a proof of IsInt e lit in expression form.

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                  def Mathlib.Meta.NormNum.deriveRat {u : Lean.Level} {α : Q(Type u)} (e : Q(«$α»)) (_inst : Q(DivisionRing «$α») := by with_reducible assumption) :
                  Lean.MetaM ( × (n : Q()) × (d : Q()) × Q(IsRat «$e» «$n» «$d»))

                  Run each registered norm_num extension on a typed expression e : α, returning a rational number, typed expressions n : ℤ and d : ℕ for the numerator and denominator, and a proof of IsRat e n d in expression form.

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                    Run each registered norm_num extension on a typed expression p : Prop, and returning the truth or falsity of p' : Prop from an equivalence p ↔ p'.

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                      def Mathlib.Meta.NormNum.deriveBoolOfIff (p p' : Q(Prop)) (hp : Q(«$p» «$p'»)) :
                      Lean.MetaM ((b : Bool) × BoolResult p' b)

                      Run each registered norm_num extension on a typed expression p : Prop, and returning the truth or falsity of p' : Prop from an equivalence p ↔ p'.

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                        Run each registered norm_num extension on an expression, returning a Simp.Result.

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                          Erases a name marked norm_num by adding it to the state's erased field and removing it from the state's list of Entrys.

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                            Erase a name marked as a norm_num attribute.

                            Check that it does in fact have the norm_num attribute by making sure it names a NormNumExt found somewhere in the state's tree, and is not erased.

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                              A simp plugin which calls NormNum.eval.

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                                A discharger which calls norm_num.

                                A Methods implementation which calls norm_num.

                                Traverses the given expression using simp and normalises any numbers it finds.

                                Constructs a simp context from the simp argument syntax.

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                                  def Mathlib.Meta.NormNum.elabNormNum (cfg args loc : Lean.Syntax) (simpOnly : Bool := false) (useSimp : Bool := true) :

                                  Elaborates a call to norm_num only? [args] or norm_num1.

                                  • args: the (simpArgs)? syntax for simp arguments
                                  • loc: the (location)? syntax for the optional location argument
                                  • simpOnly: true if only was used in norm_num
                                  • useSimp: false if norm_num1 was used, in which case only the structural parts of simp will be used, not any of the post-processing that simp only does without lemmas
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                                    norm_num normalizes numerical expressions in the goal. By default, it supports the operations + - * / ⁻¹ ^ and % over types with (at least) an AddMonoidWithOne instance, such as , , , , . In addition to evaluating numerical expressions, norm_num will use simp to simplify the goal. If the goal has the form A = B, A ≠ B, A < B or A ≤ B, where A and B are numerical expressions, norm_num will try to close it. It also has a relatively simple primality prover.

                                    This tactic is extensible. Extensions can allow norm_num to evaluate more kinds of expressions, or to prove more kinds of propositions. See the @[norm_num] attribute for further information on extending norm_num.

                                    • norm_num at l normalizes at location(s) l.
                                    • norm_num [h1, ...] adds the arguments h1, ... to the simp set in addition to the default simp set. All options for simp arguments are supported, in particular , and .
                                    • norm_num only does not use the default simp set for simplification. norm_num only [h1, ...] uses only the arguments h1, ... in addition to the routines tagged @[norm_num]. norm_num only still performs post-processing steps, like simp only, use norm_num1 if you exclusively want to normalize numerical expressions.
                                    • norm_num (config := cfg) uses cfg as configuration for simp calls (see the simp tactic for further details).

                                    Examples:

                                    example : 43 ≤ 74 + (33 : ℤ) := by norm_num
                                    example : ¬ (7-2)/(2*3) ≥ (1:ℝ) + 2/(3^2) := by norm_num
                                    
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                                      norm_num1 normalizes numerical expressions in the goal. It is a basic version of norm_num that does not call simp.

                                      By default, it supports the operations + - * / ⁻¹ ^ and % over types with (at least) an AddMonoidWithOne instance, such as , , , , . If the goal has the form A = B, A ≠ B, A < B or A ≤ B, where A and B are numerical expressions, norm_num1 will try to close it. It also has a relatively simple primality prover. :e This tactic is extensible. Extensions can allow norm_num1 to evaluate more kinds of expressions, or to prove more kinds of propositions. See the @[norm_num] attribute for further information on extending norm_num1.

                                      • norm_num1 at l normalizes at location(s) l.

                                      Examples:

                                      example : 43 ≤ 74 + (33 : ℤ) := by norm_num1
                                      example : ¬ (7-2)/(2*3) ≥ (1:ℝ) + 2/(3^2) := by norm_num1
                                      
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                                        norm_num1 normalizes numerical expressions in the goal. It is a basic version of norm_num that does not call simp.

                                        By default, it supports the operations + - * / ⁻¹ ^ and % over types with (at least) an AddMonoidWithOne instance, such as , , , , . If the goal has the form A = B, A ≠ B, A < B or A ≤ B, where A and B are numerical expressions, norm_num1 will try to close it. It also has a relatively simple primality prover. :e This tactic is extensible. Extensions can allow norm_num1 to evaluate more kinds of expressions, or to prove more kinds of propositions. See the @[norm_num] attribute for further information on extending norm_num1.

                                        • norm_num1 at l normalizes at location(s) l.

                                        Examples:

                                        example : 43 ≤ 74 + (33 : ℤ) := by norm_num1
                                        example : ¬ (7-2)/(2*3) ≥ (1:ℝ) + 2/(3^2) := by norm_num1
                                        
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                                          Elaborator for norm_num1 conv tactic.

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                                            norm_num normalizes numerical expressions in the goal. By default, it supports the operations + - * / ⁻¹ ^ and % over types with (at least) an AddMonoidWithOne instance, such as , , , , . In addition to evaluating numerical expressions, norm_num will use simp to simplify the goal. If the goal has the form A = B, A ≠ B, A < B or A ≤ B, where A and B are numerical expressions, norm_num will try to close it. It also has a relatively simple primality prover.

                                            This tactic is extensible. Extensions can allow norm_num to evaluate more kinds of expressions, or to prove more kinds of propositions. See the @[norm_num] attribute for further information on extending norm_num.

                                            • norm_num at l normalizes at location(s) l.
                                            • norm_num [h1, ...] adds the arguments h1, ... to the simp set in addition to the default simp set. All options for simp arguments are supported, in particular , and .
                                            • norm_num only does not use the default simp set for simplification. norm_num only [h1, ...] uses only the arguments h1, ... in addition to the routines tagged @[norm_num]. norm_num only still performs post-processing steps, like simp only, use norm_num1 if you exclusively want to normalize numerical expressions.
                                            • norm_num (config := cfg) uses cfg as configuration for simp calls (see the simp tactic for further details).

                                            Examples:

                                            example : 43 ≤ 74 + (33 : ℤ) := by norm_num
                                            example : ¬ (7-2)/(2*3) ≥ (1:ℝ) + 2/(3^2) := by norm_num
                                            
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                                              Elaborator for norm_num conv tactic.

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                                                #norm_num e, where e is an expression, will print the norm_num form of e. Unlike norm_num, this command does not fail when no simplifications are made. #norm_num understands local variables, so you can use them to introduce parameters.

                                                (In the variants below, the : is optional but helpful for the parser.)

                                                • #norm_num [h1, ...] : e adds the arguments h1, ... to the simp set in addition to the default simp set. All options for simp arguments are supported, in particular , and .
                                                • #norm_num only : e and #norm_num only [h1, ...] : e do not use the default simp set for simplification.
                                                • #norm_num (config := cfg) : e uses cfg as configuration for simp calls (see the simp tactic for further details).
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                                                  We register norm_num with the hint tactic.