The tactic language is a special-purpose programming language for constructing proofs, indicated using the keyword by.
(
(tacs) executes a list of tactics in sequence, without requiring that
the goal be closed at the end like · tacs. Like by itself, the tactics
can be either separated by newlines or ;.
- Tags:
- Defined in module:
- Init.Tactics
.
· tac focuses on the main goal and tries to solve it using tac, or else fails.
- Tags:
- Defined in module:
- Init.NotationExtra
<;>
tac <;> tac' runs tac on the main goal and tac' on each produced goal,
concatenating all goals produced by tac'.
- Tags:
- Defined in module:
- Init.Tactics
Lean.Parser.Tactic.nestedTactic
This tactic has no documentation.
- Tags:
- Defined in module:
- Lean.Parser.Tactic
ac_nf
ac_nf normalizes equalities up to application of an associative and commutative operator.
ac_nfnormalizes all hypotheses and the goal target of the goal.ac_nf at lnormalizes at location(s)l, wherelis either*or a list of hypotheses in the local context. In the latter case, a turnstile⊢or|-can also be used, to signify the target of the goal.
instance : Std.Associative (α := Nat) (.+.) := ⟨Nat.add_assoc⟩
instance : Std.Commutative (α := Nat) (.+.) := ⟨Nat.add_comm⟩
example (a b c d : Nat) : a + b + c + d = d + (b + c) + a := by
ac_nf
-- goal: a + (b + (c + d)) = a + (b + (c + d))
- Tags:
- Defined in module:
- Init.Tactics
ac_nf0
Implementation of ac_nf (the full ac_nf calls trivial afterwards).
- Tags:
- Defined in module:
- Init.Tactics
ac_rfl
ac_rfl proves equalities up to application of an associative and commutative operator.
instance : Std.Associative (α := Nat) (.+.) := ⟨Nat.add_assoc⟩
instance : Std.Commutative (α := Nat) (.+.) := ⟨Nat.add_comm⟩
example (a b c d : Nat) : a + b + c + d = d + (b + c) + a := by ac_rfl
- Tags:
- Defined in module:
- Init.Tactics
all_goals
all_goals tac runs tac on each goal, concatenating the resulting goals.
If the tactic fails on any goal, the entire all_goals tactic fails.
See also any_goals tac.
- Tags:
- Defined in module:
- Init.Tactics
and_intros
and_intros applies And.intro until it does not make progress.
- Tags:
- Defined in module:
- Init.Tactics
any_goals
any_goals tac applies the tactic tac to every goal,
concatenating the resulting goals for successful tactic applications.
If the tactic fails on all of the goals, the entire any_goals tactic fails.
This tactic is like all_goals try tac except that it fails if none of the applications of tac succeeds.
- Tags:
- Defined in module:
- Init.Tactics
apply
apply e tries to match the current goal against the conclusion of e's type.
If it succeeds, then the tactic returns as many subgoals as the number of premises that
have not been fixed by type inference or type class resolution.
Non-dependent premises are added before dependent ones.
The apply tactic uses higher-order pattern matching, type class resolution,
and first-order unification with dependent types.
- Tags:
- Defined in module:
- Init.Tactics
apply?
Searches environment for definitions or theorems that can refine the goal using apply
with conditions resolved when possible with solve_by_elim.
The optional using clause provides identifiers in the local context that must be
used when closing the goal.
Use +grind to enable grind as a fallback discharger for subgoals.
Use +try? to enable try? as a fallback discharger for subgoals.
Use -star to disable fallback to star-indexed lemmas.
Use +all to collect all successful lemmas instead of stopping at the first.
- Tags:
- Defined in module:
- Init.Tactics
apply_assumption
apply_assumption looks for an assumption of the form ... → ∀ _, ... → head
where head matches the current goal.
You can specify additional rules to apply using apply_assumption [...].
By default apply_assumption will also try rfl, trivial, congrFun, and congrArg.
If you don't want these, or don't want to use all hypotheses, use apply_assumption only [...].
You can use apply_assumption [-h] to omit a local hypothesis.
You can use apply_assumption using [a₁, ...] to use all lemmas which have been labelled
with the attributes aᵢ (these attributes must be created using register_label_attr).
apply_assumption will use consequences of local hypotheses obtained via symm.
If apply_assumption fails, it will call exfalso and try again.
Thus if there is an assumption of the form P → ¬ Q, the new tactic state
will have two goals, P and Q.
You can pass a further configuration via the syntax apply_rules (config := {...}) lemmas.
The options supported are the same as for solve_by_elim (and include all the options for apply).
- Tags:
- Defined in module:
- Init.Tactics
apply_ext_theorem
Apply a single extensionality theorem to the current goal.
- Tags:
- Defined in module:
- Init.Ext
apply_mod_cast
Normalize casts in the goal and the given expression, then apply the expression to the goal.
- Tags:
- Defined in module:
- Init.TacticsExtra
apply_rules
apply_rules [l₁, l₂, ...] tries to solve the main goal by iteratively
applying the list of lemmas [l₁, l₂, ...] or by applying a local hypothesis.
If apply generates new goals, apply_rules iteratively tries to solve those goals.
You can use apply_rules [-h] to omit a local hypothesis.
apply_rules will also use rfl, trivial, congrFun and congrArg.
These can be disabled, as can local hypotheses, by using apply_rules only [...].
You can use apply_rules using [a₁, ...] to use all lemmas which have been labelled
with the attributes aᵢ (these attributes must be created using register_label_attr).
You can pass a further configuration via the syntax apply_rules (config := {...}).
The options supported are the same as for solve_by_elim (and include all the options for apply).
apply_rules will try calling symm on hypotheses and exfalso on the goal as needed.
This can be disabled with apply_rules (config := {symm := false, exfalso := false}).
You can bound the iteration depth using the syntax apply_rules (config := {maxDepth := n}).
Unlike solve_by_elim, apply_rules does not perform backtracking, and greedily applies
a lemma from the list until it gets stuck.
- Tags:
- Defined in module:
- Init.Tactics
array_get_dec
This tactic, added to the decreasing_trivial toolbox, proves that
sizeOf arr[i] < sizeOf arr, which is useful for well founded recursions
over a nested inductive like inductive T | mk : Array T → T.
- Tags:
- Defined in module:
- Init.Data.Array.Mem
array_mem_dec
This tactic, added to the decreasing_trivial toolbox, proves that sizeOf a < sizeOf arr
provided that a ∈ arr which is useful for well founded recursions over a nested inductive like
inductive T | mk : Array T → T.
- Tags:
- Defined in module:
- Init.Data.Array.Mem
as_aux_lemma
as_aux_lemma => tac does the same as tac, except that it wraps the resulting expression
into an auxiliary lemma. In some cases, this significantly reduces the size of expressions
because the proof term is not duplicated.
- Tags:
- Defined in module:
- Init.Tactics
assumption
assumption tries to solve the main goal using a hypothesis of compatible type, or else fails.
Note also the ‹t› term notation, which is a shorthand for show t by assumption.
- Tags:
- Defined in module:
- Init.Tactics
assumption_mod_cast
assumption_mod_cast is a variant of assumption that solves the goal
using a hypothesis. Unlike assumption, it first pre-processes the goal and
each hypothesis to move casts as far outwards as possible, so it can be used
in more situations.
Concretely, it runs norm_cast on the goal. For each local hypothesis h, it also
normalizes h with norm_cast and tries to use that to close the goal.
- Tags:
- Defined in module:
- Init.Tactics
attempt_all_par
Helper internal tactic for implementing the tactic try? with parallel execution.
- Tags:
- Defined in module:
- Init.Try
bv_check
This tactic works just like bv_decide but skips calling a SAT solver by using a proof that is
already stored on disk. It is called with the name of an LRAT file in the same directory as the
current Lean file:
bv_check "proof.lrat"
- Tags:
- Defined in module:
- Std.Tactic.BVDecide.Syntax
bv_decide
Close fixed-width BitVec and Bool goals by obtaining a proof from an external SAT solver and
verifying it inside Lean. The solvable goals are currently limited to
- the Lean equivalent of
QF_BV - automatically splitting up
structures that contain information aboutBitVecorBool
example : ∀ (a b : BitVec 64), (a &&& b) + (a ^^^ b) = a ||| b := by
intros
bv_decide
If bv_decide encounters an unknown definition it will be treated like an unconstrained BitVec
variable. Sometimes this enables solving goals despite not understanding the definition because
the precise properties of the definition do not matter in the specific proof.
If bv_decide fails to close a goal it provides a counter-example, containing assignments for all
terms that were considered as variables.
In order to avoid calling a SAT solver every time, the proof can be cached with bv_decide?.
If solving your problem relies inherently on using associativity or commutativity, consider enabling
the bv.ac_nf option.
Note: bv_decide uses ofReduceBool and thus trusts the correctness of the code generator.
Note: include import Std.Tactic.BVDecide
- Tags:
- Defined in module:
- Init.Tactics
bv_decide?
Suggest a proof script for a bv_decide tactic call. Useful for caching LRAT proofs.
Note: include import Std.Tactic.BVDecide
- Tags:
- Defined in module:
- Init.Tactics
bv_normalize
Run the normalization procedure of bv_decide only. Sometimes this is enough to solve basic
BitVec goals already.
Note: include import Std.Tactic.BVDecide
- Tags:
- Defined in module:
- Init.Tactics
bv_omega
bv_omega is omega with an additional preprocessor that turns statements about BitVec into statements about Nat.
Currently the preprocessor is implemented as try simp only [bitvec_to_nat] at *.
bitvec_to_nat is a @[simp] attribute that you can (cautiously) add to more theorems.
- Tags:
- Defined in module:
- Init.Tactics
by_cases
by_cases (h :)? p splits the main goal into two cases, assuming h : p in the first branch, and h : ¬ p in the second branch.
- Tags:
- Defined in module:
- Init.ByCases
calc
Step-wise reasoning over transitive relations.
calc
a = b := pab
b = c := pbc
...
y = z := pyz
proves a = z from the given step-wise proofs. = can be replaced with any
relation implementing the typeclass Trans. Instead of repeating the right-
hand sides, subsequent left-hand sides can be replaced with _.
calc
a = b := pab
_ = c := pbc
...
_ = z := pyz
It is also possible to write the first relation as <lhs>\n _ = <rhs> := <proof>. This is useful for aligning relation symbols, especially on longer
identifiers:
calc abc
_ = bce := pabce
_ = cef := pbcef
...
_ = xyz := pwxyz
calc works as a term, as a tactic or as a conv tactic.
See Theorem Proving in Lean 4 for more information.
- Tags:
- Defined in module:
- Init.NotationExtra
case
case tag => tacfocuses on the goal with case nametagand solves it usingtac, or else fails.case tag x₁ ... xₙ => tacadditionally renames thenmost recent hypotheses with inaccessible names to the given names.case tag₁ | tag₂ => tacis equivalent to(case tag₁ => tac); (case tag₂ => tac).
- Tags:
- Defined in module:
- Init.Tactics
case'
case' is similar to the case tag => tac tactic, but does not ensure the goal
has been solved after applying tac, nor admits the goal if tac failed.
Recall that case closes the goal using sorry when tac fails, and
the tactic execution is not interrupted.
- Tags:
- Defined in module:
- Init.Tactics
cases
Assuming x is a variable in the local context with an inductive type,
cases x splits the main goal, producing one goal for each constructor of the
inductive type, in which the target is replaced by a general instance of that constructor.
If the type of an element in the local context depends on x,
that element is reverted and reintroduced afterward,
so that the case split affects that hypothesis as well.
cases detects unreachable cases and closes them automatically.
For example, given n : Nat and a goal with a hypothesis h : P n and target Q n,
cases n produces one goal with hypothesis h : P 0 and target Q 0,
and one goal with hypothesis h : P (Nat.succ a) and target Q (Nat.succ a).
Here the name a is chosen automatically and is not accessible.
You can use with to provide the variables names for each constructor.
cases e, whereeis an expression instead of a variable, generalizesein the goal, and then cases on the resulting variable.- Given
as : List α,cases as with | nil => tac₁ | cons a as' => tac₂, uses tactictac₁for thenilcase, andtac₂for theconscase, andaandas'are used as names for the new variables introduced. cases h : e, whereeis a variable or an expression, performs cases oneas above, but also adds a hypothesish : e = ...to each goal, where...is the constructor instance for that particular case.
- Tags:
- Defined in module:
- Init.Tactics
change
change tgt'will change the goal fromtgttotgt', assuming these are definitionally equal.change t' at hwill change hypothesish : tto have typet', assuming assumingtandt'are definitionally equal.change a with bwill change occurrences ofatobin the goal, assumingaandbare definitionally equal.change a with b at hsimilarly changesatobin the type of hypothesish.
- Tags:
- Defined in module:
- Init.Tactics
classical
classical tacs runs tacs in a scope where Classical.propDecidable is a low priority
local instance.
Note that classical is a scoping tactic: it adds the instance only within the
scope of the tactic.
- Tags:
- Defined in module:
- Init.Tactics
clean_wf
This tactic is used internally by lean before presenting the proof obligations from a well-founded
definition to the user via decreasing_by. It is not necessary to use this tactic manually.
- Tags:
- Defined in module:
- Init.WFTactics
clear
clear x... removes the given hypotheses, or fails if there are remaining
references to a hypothesis.
- Tags:
- Defined in module:
- Init.Tactics
clear_value
clear_value x...clears the values of the given local definitions. A local definitionx : α := vbecomes a hypothesisx : α.clear_value (h : x = _)adds a hypothesish : x = vbefore clearing the value ofx. This is short forhave h : x = v := rfl; clear_value x. Any value definitionally equal tovcan be used in place of_.clear_value *clears values of all hypotheses that can be cleared. Fails if none can be cleared.
These syntaxes can be combined. For example, clear_value x y * ensures that x and y are cleared
while trying to clear all other local definitions,
and clear_value (hx : x = _) y * with hx does the same while first adding the hx : x = v hypothesis.
- Tags:
- Defined in module:
- Init.Tactics
congr
Apply congruence (recursively) to goals of the form ⊢ f as = f bs and ⊢ f as ≍ f bs.
The optional parameter is the depth of the recursive applications.
This is useful when congr is too aggressive in breaking down the goal.
For example, given ⊢ f (g (x + y)) = f (g (y + x)),
congr produces the goals ⊢ x = y and ⊢ y = x,
while congr 2 produces the intended ⊢ x + y = y + x.
- Tags:
- Defined in module:
- Init.Tactics
constructor
If the main goal's target type is an inductive type, constructor solves it with
the first matching constructor, or else fails.
- Tags:
- Defined in module:
- Init.Tactics
contradiction
contradiction closes the main goal if its hypotheses are "trivially contradictory".
- Inductive type/family with no applicable constructors
example (h : False) : p := by contradiction - Injectivity of constructors
example (h : none = some true) : p := by contradiction -- - Decidable false proposition
example (h : 2 + 2 = 3) : p := by contradiction - Contradictory hypotheses
example (h : p) (h' : ¬ p) : q := by contradiction - Other simple contradictions such as
example (x : Nat) (h : x ≠ x) : p := by contradiction
- Tags:
- Defined in module:
- Init.Tactics
conv
conv => ... allows the user to perform targeted rewriting on a goal or hypothesis,
by focusing on particular subexpressions.
See https://lean-lang.org/theorem_proving_in_lean4/conv.html for more details.
Basic forms:
conv => cswill rewrite the goal with conv tacticscs.conv at h => cswill rewrite hypothesish.conv in pat => cswill rewrite the first subexpression matchingpat(seepattern).
- Tags:
- Defined in module:
- Init.Conv
conv'
Executes the given conv block without converting regular goal into a conv goal.
- Tags:
- Defined in module:
- Init.Conv
cutsat
cutsat solves linear integer arithmetic goals.
It is a implemented as a thin wrapper around the grind tactic, enabling only the lia solver.
Please use grind instead if you need additional capabilities.
Deprecated: Use lia instead.
- Tags:
- Defined in module:
- Init.Grind.Tactics
dbg_trace
dbg_trace "foo" prints foo when elaborated.
Useful for debugging tactic control flow:
example : False ∨ True := by
first
| apply Or.inl; trivial; dbg_trace "left"
| apply Or.inr; trivial; dbg_trace "right"
- Tags:
- Defined in module:
- Init.Tactics
decide
decide attempts to prove the main goal (with target type p) by synthesizing an instance of Decidable p
and then reducing that instance to evaluate the truth value of p.
If it reduces to isTrue h, then h is a proof of p that closes the goal.
The target is not allowed to contain local variables or metavariables.
If there are local variables, you can first try using the revert tactic with these local variables to move them into the target,
or you can use the +revert option, described below.
Options:
decide +revertbegins by reverting local variables that the target depends on, after cleaning up the local context of irrelevant variables. A variable is relevant if it appears in the target, if it appears in a relevant variable, or if it is a proposition that refers to a relevant variable.decide +kerneluses kernel for reduction instead of the elaborator. It has two key properties: (1) since it uses the kernel, it ignores transparency and can unfold everything, and (2) it reduces theDecidableinstance only once instead of twice.decide +nativeuses the native code compiler (#eval) to evaluate theDecidableinstance, admitting the result via theLean.ofReduceBoolaxiom. This can be significantly more efficient than using reduction, but it is at the cost of increasing the size of the trusted code base. Namely, it depends on the correctness of the Lean compiler and all definitions with an@[implemented_by]attribute. Like with+kernel, theDecidableinstance is evaluated only once.
Limitation: In the default mode or +kernel mode, since decide uses reduction to evaluate the term,
Decidable instances defined by well-founded recursion might not work because evaluating them requires reducing proofs.
Reduction can also get stuck on Decidable instances with Eq.rec terms.
These can appear in instances defined using tactics (such as rw and simp).
To avoid this, create such instances using definitions such as decidable_of_iff instead.
Examples #
Proving inequalities:
example : 2 + 2 ≠ 5 := by decide
Trying to prove a false proposition:
example : 1 ≠ 1 := by decide
/-
tactic 'decide' proved that the proposition
1 ≠ 1
is false
-/
Trying to prove a proposition whose Decidable instance fails to reduce
opaque unknownProp : Prop
open scoped Classical in
example : unknownProp := by decide
/-
tactic 'decide' failed for proposition
unknownProp
since its 'Decidable' instance reduced to
Classical.choice ⋯
rather than to the 'isTrue' constructor.
-/
Properties and relations #
For equality goals for types with decidable equality, usually rfl can be used in place of decide.
example : 1 + 1 = 2 := by decide
example : 1 + 1 = 2 := by rfl
- Tags:
- Defined in module:
- Init.Tactics
decreasing_tactic
decreasing_tactic is called by default on well-founded recursions in order
to synthesize a proof that recursive calls decrease along the selected
well founded relation. It can be locally overridden by using decreasing_by tac
on the recursive definition, and it can also be globally extended by adding
more definitions for decreasing_tactic (or decreasing_trivial,
which this tactic calls).
- Tags:
- Defined in module:
- Init.WFTactics
decreasing_trivial
Extensible helper tactic for decreasing_tactic. This handles the "base case"
reasoning after applying lexicographic order lemmas.
It can be extended by adding more macro definitions, e.g.
macro_rules | `(tactic| decreasing_trivial) => `(tactic| linarith)
- Tags:
- Defined in module:
- Init.WFTactics
decreasing_trivial_pre_omega
Variant of decreasing_trivial that does not use omega, intended to be used in core modules
before omega is available.
- Tags:
- Defined in module:
- Init.WFTactics
decreasing_with
Constructs a proof of decreasing along a well founded relation, by simplifying, then applying
lexicographic order lemmas and finally using ts to solve the base case. If it fails,
it prints a message to help the user diagnose an ill-founded recursive definition.
- Tags:
- Defined in module:
- Init.WFTactics
delta
delta id1 id2 ... delta-expands the definitions id1, id2, ....
This is a low-level tactic, it will expose how recursive definitions have been
compiled by Lean.
- Tags:
- Defined in module:
- Init.Tactics
deriving_LawfulEq_tactic
This tactic has no documentation.
- Tags:
- Defined in module:
- Init.LawfulBEqTactics
deriving_LawfulEq_tactic_step
This tactic has no documentation.
- Tags:
- Defined in module:
- Init.LawfulBEqTactics
dsimp
The dsimp tactic is the definitional simplifier. It is similar to simp but only
applies theorems that hold by reflexivity. Thus, the result is guaranteed to be
definitionally equal to the input.
- Tags:
- Defined in module:
- Init.Tactics
dsimp!
dsimp! is shorthand for dsimp with autoUnfold := true.
This will unfold applications of functions defined by pattern matching, when one of the patterns applies.
This can be used to partially evaluate many definitions.
- Tags:
- Defined in module:
- Init.Meta
dsimp?
simp? takes the same arguments as simp, but reports an equivalent call to simp only
that would be sufficient to close the goal. This is useful for reducing the size of the simp
set in a local invocation to speed up processing.
example (x : Nat) : (if True then x + 2 else 3) = x + 2 := by
simp? -- prints "Try this: simp only [ite_true]"
This command can also be used in simp_all and dsimp.
- Tags:
- Defined in module:
- Init.Tactics
dsimp?!
simp? takes the same arguments as simp, but reports an equivalent call to simp only
that would be sufficient to close the goal. This is useful for reducing the size of the simp
set in a local invocation to speed up processing.
example (x : Nat) : (if True then x + 2 else 3) = x + 2 := by
simp? -- prints "Try this: simp only [ite_true]"
This command can also be used in simp_all and dsimp.
- Tags:
- Defined in module:
- Init.Tactics
eq_refl
eq_refl is equivalent to exact rfl, but has a few optimizations.
- Tags:
- Defined in module:
- Init.Tactics
erw
erw [rules] is a shorthand for rw (transparency := .default) [rules].
This does rewriting up to unfolding of regular definitions (by comparison to regular rw
which only unfolds @[reducible] definitions).
- Tags:
- Defined in module:
- Init.Meta
exact
exact e closes the main goal if its target type matches that of e.
- Tags:
- Defined in module:
- Init.Tactics
exact?
Searches environment for definitions or theorems that can solve the goal using exact
with conditions resolved by solve_by_elim.
The optional using clause provides identifiers in the local context that must be
used by exact? when closing the goal. This is most useful if there are multiple
ways to resolve the goal, and one wants to guide which lemma is used.
Use +grind to enable grind as a fallback discharger for subgoals.
Use +try? to enable try? as a fallback discharger for subgoals.
Use -star to disable fallback to star-indexed lemmas (like Empty.elim, And.left).
Use +all to collect all successful lemmas instead of stopping at the first.
- Tags:
- Defined in module:
- Init.Tactics
exact_mod_cast
Normalize casts in the goal and the given expression, then close the goal with exact.
- Tags:
- Defined in module:
- Init.TacticsExtra
exfalso
exfalso converts a goal ⊢ tgt into ⊢ False by applying False.elim.
- Tags:
- Defined in module:
- Init.Tactics
exists
exists e₁, e₂, ... is shorthand for refine ⟨e₁, e₂, ...⟩; try trivial.
It is useful for existential goals.
- Tags:
- Defined in module:
- Init.Tactics
expose_names
expose_names renames all inaccessible variables with accessible names, making them available
for reference in generated tactics. However, this renaming introduces machine-generated names
that are not fully under user control. expose_names is primarily intended as a preamble for
auto-generated end-game tactic scripts. It is also useful as an alternative to
set_option tactic.hygienic false. If explicit control over renaming is needed in the
middle of a tactic script, consider using structured tactic scripts with
match .. with, induction .. with, or intro with explicit user-defined names,
as well as tactics such as next, case, and rename_i.
- Tags:
- Defined in module:
- Init.Tactics
ext
Applies extensionality lemmas that are registered with the @[ext] attribute.
ext pat*applies extensionality theorems as much as possible, using the patternspat*to introduce the variables in extensionality theorems usingrintro. For example, the patterns are used to name the variables introduced by lemmas such asfunext.- Without patterns,
extapplies extensionality lemmas as much as possible but introduces anonymous hypotheses whenever needed. ext pat* : napplies ext theorems only up to depthn.
The ext1 pat* tactic is like ext pat* except that it only applies a single extensionality theorem.
Unused patterns will generate warning. Patterns that don't match the variables will typically result in the introduction of anonymous hypotheses.
- Tags:
- Defined in module:
- Init.Ext
ext1
ext1 pat* is like ext pat* except that it only applies a single extensionality theorem rather
than recursively applying as many extensionality theorems as possible.
The pat* patterns are processed using the rintro tactic.
If no patterns are supplied, then variables are introduced anonymously using the intros tactic.
- Tags:
- Defined in module:
- Init.Ext
extract_lets
Extracts let and have expressions from within the target or a local hypothesis,
introducing new local definitions.
extract_letsextracts all the lets from the target.extract_lets x y zextracts all the lets from the target and usesx,y, andzfor the first names. Using_for a name leaves it unnamed.extract_lets x y z at hoperates on the local hypothesishinstead of the target.
For example, given a local hypotheses if the form h : let x := v; b x, then extract_lets z at h
introduces a new local definition z := v and changes h to be h : b z.
- Tags:
- Defined in module:
- Init.Tactics
fail
fail msg is a tactic that always fails, and produces an error using the given message.
- Tags:
- Defined in module:
- Init.Tactics
false_or_by_contra
Changes the goal to False, retaining as much information as possible:
- If the goal is
False, do nothing. - If the goal is an implication or a function type, introduce the argument and restart.
(In particular, if the goal is
x ≠ y, introducex = y.) - Otherwise, for a propositional goal
P, replace it with¬ ¬ P(attempting to find aDecidableinstance, but otherwise falling back to working classically) and introduce¬ P. - For a non-propositional goal use
False.elim.
- Tags:
- Defined in module:
- Init.Tactics
first
first | tac | ... runs each tac until one succeeds, or else fails.
- Tags:
- Defined in module:
- Init.Tactics
first_par
Helper internal tactic for implementing the tactic try? with parallel execution, returning first success.
- Tags:
- Defined in module:
- Init.Try
focus
focus tac focuses on the main goal, suppressing all other goals, and runs tac on it.
Usually · tac, which enforces that the goal is closed by tac, should be preferred.
- Tags:
- Defined in module:
- Init.Tactics
fun_cases
The fun_cases tactic is a convenience wrapper of the cases tactic when using a functional
cases principle.
The tactic invocation
fun_cases f x ... y ...`
is equivalent to
cases y, ... using f.fun_cases_unfolding x ...
where the arguments of f are used as arguments to f.fun_cases_unfolding or targets of the case
analysis, as appropriate.
The form
fun_cases f
(with no arguments to f) searches the goal for a unique eligible application of f, and uses
these arguments. An application of f is eligible if it is saturated and the arguments that will
become targets are free variables.
The form fun_cases f x y with | case1 => tac₁ | case2 x' ih => tac₂ works like with cases.
Under set_option tactic.fun_induction.unfolding true (the default), fun_induction uses the
f.fun_cases_unfolding theorem, which will try to automatically unfold the call to f in
the goal. With set_option tactic.fun_induction.unfolding false, it uses f.fun_cases instead.
- Tags:
- Defined in module:
- Init.Tactics
fun_induction
The fun_induction tactic is a convenience wrapper around the induction tactic to use the
functional induction principle.
The tactic invocation
fun_induction f x₁ ... xₙ y₁ ... yₘ
where f is a function defined by non-mutual structural or well-founded recursion, is equivalent to
induction y₁, ... yₘ using f.induct_unfolding x₁ ... xₙ
where the arguments of f are used as arguments to f.induct_unfolding or targets of the
induction, as appropriate.
The form
fun_induction f
(with no arguments to f) searches the goal for a unique eligible application of f, and uses
these arguments. An application of f is eligible if it is saturated and the arguments that will
become targets are free variables.
The forms fun_induction f x y generalizing z₁ ... zₙ and
fun_induction f x y with | case1 => tac₁ | case2 x' ih => tac₂ work like with induction.
Under set_option tactic.fun_induction.unfolding true (the default), fun_induction uses the
f.induct_unfolding induction principle, which will try to automatically unfold the call to f in
the goal. With set_option tactic.fun_induction.unfolding false, it uses f.induct instead.
- Tags:
- Defined in module:
- Init.Tactics
funext
Apply function extensionality and introduce new hypotheses.
The tactic funext will keep applying the funext lemma until the goal target is not reducible to
|- ((fun x => ...) = (fun x => ...))
The variant funext h₁ ... hₙ applies funext n times, and uses the given identifiers to name the new hypotheses.
Patterns can be used like in the intro tactic. Example, given a goal
|- ((fun x : Nat × Bool => ...) = (fun x => ...))
funext (a, b) applies funext once and performs pattern matching on the newly introduced pair.
- Tags:
- Defined in module:
- Init.NotationExtra
generalize
generalize ([h :] e = x),+replaces all occurrenceses in the main goal with a fresh hypothesisxs. Ifhis given,h : e = xis introduced as well.generalize e = x at h₁ ... hₙalso generalizes occurrences ofeinsideh₁, ...,hₙ.generalize e = x at *will generalize occurrences ofeeverywhere.
- Tags:
- Defined in module:
- Init.Tactics
get_elem_tactic
get_elem_tactic is the tactic automatically called by the notation arr[i]
to prove any side conditions that arise when constructing the term
(e.g. the index is in bounds of the array). It just delegates to
get_elem_tactic_extensible and gives a diagnostic error message otherwise;
users are encouraged to extend get_elem_tactic_extensible instead of this tactic.
- Tags:
- Defined in module:
- Init.Tactics
get_elem_tactic_extensible
get_elem_tactic_extensible is an extensible tactic automatically called
by the notation arr[i] to prove any side conditions that arise when
constructing the term (e.g. the index is in bounds of the array).
The default behavior is to try simp +arith and omega
(for doing linear arithmetic in the index).
(Note that the core tactic get_elem_tactic has already tried
done and assumption before the extensible tactic is called.)
- Tags:
- Defined in module:
- Init.Tactics
get_elem_tactic_trivial
get_elem_tactic_trivial has been deprecated in favour of get_elem_tactic_extensible.
- Tags:
- Defined in module:
- Init.Tactics
grind
grind is a tactic inspired by modern SMT solvers. Picture a virtual whiteboard:
every time grind discovers a new equality, inequality, or logical fact,
it writes it on the board, groups together terms known to be equal,
and lets each reasoning engine read from and contribute to the shared workspace.
These engines work together to handle equality reasoning, apply known theorems,
propagate new facts, perform case analysis, and run specialized solvers
for domains like linear arithmetic and commutative rings.
See the reference manual's chapter on grind for more information.
grind is not designed for goals whose search space explodes combinatorially,
think large pigeonhole instances, graph‑coloring reductions, high‑order N‑queens boards,
or a 200‑variable Sudoku encoded as Boolean constraints. Such encodings require
thousands (or millions) of case‑splits that overwhelm grind’s branching search.
For bit‑level or combinatorial problems, consider using bv_decide.
bv_decide calls a state‑of‑the‑art SAT solver (CaDiCaL) and then returns a
compact, machine‑checkable certificate.
Equality reasoning #
grind uses congruence closure to track equalities between terms.
When two terms are known to be equal, congruence closure automatically deduces
equalities between more complex expressions built from them.
For example, if a = b, then congruence closure will also conclude that f a = f b
for any function f. This forms the foundation for efficient equality reasoning in grind.
Here is an example:
example (f : Nat → Nat) (h : a = b) : f (f b) = f (f a) := by
grind
Applying theorems using E-matching #
To apply existing theorems, grind uses a technique called E-matching,
which finds matches for known theorem patterns while taking equalities into account.
Combined with congruence closure, E-matching helps grind discover
non-obvious consequences of theorems and equalities automatically.
Consider the following functions and theorems:
def f (a : Nat) : Nat :=
a + 1
def g (a : Nat) : Nat :=
a - 1
@[grind =]
theorem gf (x : Nat) : g (f x) = x := by
simp [f, g]
The theorem gf asserts that g (f x) = x for all natural numbers x.
The attribute [grind =] instructs grind to use the left-hand side of the equation,
g (f x), as a pattern for E-matching.
Suppose we now have a goal involving:
example {a b} (h : f b = a) : g a = b := by
grind
Although g a is not an instance of the pattern g (f x),
it becomes one modulo the equation f b = a. By substituting a
with f b in g a, we obtain the term g (f b),
which matches the pattern g (f x) with the assignment x := b.
Thus, the theorem gf is instantiated with x := b,
and the new equality g (f b) = b is asserted.
grind then uses congruence closure to derive the implied equality
g a = g (f b) and completes the proof.
The pattern used to instantiate theorems affects the effectiveness of grind.
For example, the pattern g (f x) is too restrictive in the following case:
the theorem gf will not be instantiated because the goal does not even
contain the function symbol g.
example (h₁ : f b = a) (h₂ : f c = a) : b = c := by
grind
You can use the command grind_pattern to manually select a pattern for a given theorem.
In the following example, we instruct grind to use f x as the pattern,
allowing it to solve the goal automatically:
grind_pattern gf => f x
example {a b c} (h₁ : f b = a) (h₂ : f c = a) : b = c := by
grind
You can enable the option trace.grind.ematch.instance to make grind print a
trace message for each theorem instance it generates.
You can also specify a multi-pattern to control when grind should apply a theorem.
A multi-pattern requires that all specified patterns are matched in the current context
before the theorem is applied. This is useful for theorems such as transitivity rules,
where multiple premises must be simultaneously present for the rule to apply.
The following example demonstrates this feature using a transitivity axiom for a binary relation R:
opaque R : Int → Int → Prop
axiom Rtrans {x y z : Int} : R x y → R y z → R x z
grind_pattern Rtrans => R x y, R y z
example {a b c d} : R a b → R b c → R c d → R a d := by
grind
By specifying the multi-pattern R x y, R y z, we instruct grind to
instantiate Rtrans only when both R x y and R y z are available in the context.
In the example, grind applies Rtrans to derive R a c from R a b and R b c,
and can then repeat the same reasoning to deduce R a d from R a c and R c d.
Instead of using grind_pattern to explicitly specify a pattern,
you can use the @[grind] attribute or one of its variants, which will use a heuristic to
generate a (multi-)pattern. The complete list is available in the reference manual. The main ones are:
@[grind →]will select a multi-pattern from the hypotheses of the theorem (i.e. it will use the theorem for forwards reasoning). In more detail, it will traverse the hypotheses of the theorem from left-to-right, and each time it encounters a minimal indexable (i.e. has a constant as its head) subexpression which "covers" (i.e. fixes the value of) an argument which was not previously covered, it will add that subexpression as a pattern, until all arguments have been covered.@[grind ←]will select a multi-pattern from the conclusion of theorem (i.e. it will use the theorem for backwards reasoning). This may fail if not all the arguments to the theorem appear in the conclusion.@[grind]will traverse the conclusion and then the hypotheses left-to-right, adding patterns as they increase the coverage, stopping when all arguments are covered.@[grind =]checks that the conclusion of the theorem is an equality, and then uses the left-hand-side of the equality as a pattern. This may fail if not all of the arguments appear in the left-hand-side.
Here is the previous example again but using the attribute [grind →]
opaque R : Int → Int → Prop
@[grind →] axiom Rtrans {x y z : Int} : R x y → R y z → R x z
example {a b c d} : R a b → R b c → R c d → R a d := by
grind
To control theorem instantiation and avoid generating an unbounded number of instances,
grind uses a generation counter. Terms in the original goal are assigned generation zero.
When grind applies a theorem using terms of generation ≤ n n, any new terms it creates
are assigned generation n + 1 + 1 1. This limits how far the tactic explores when applying
theorems and helps prevent an excessive number of instantiations.
Key options: #
grind (ematch := <num>)controls the number of E-matching rounds.grind [<name>, ...]instructsgrindto use the declarationnameduring E-matching.grind only [<name>, ...]is likegrind [<name>, ...]but does not use theorems tagged with@[grind].grind (gen := <num>)sets the maximum generation.
Linear integer arithmetic (lia) #
grind can solve goals that reduce to linear integer arithmetic (LIA) using an
integrated decision procedure called lia. It understands
- equalities
p = 0 - inequalities
p ≤ 0 - disequalities
p ≠ 0 - divisibility
d ∣ p
The solver incrementally assigns integer values to variables; when a partial assignment violates a constraint it adds a new, implied constraint and retries. This model-based search is complete for LIA.
Key options: #
grind -liadisable the solver (useful for debugging)grind +qliaaccept rational models (shrinks the search space but is incomplete for ℤ)
Examples: #
-- Even + even is never odd.
example {x y : Int} : 2 * x + 4 * y ≠ 5 := by
grind
-- Mixing equalities and inequalities.
example {x y : Int} :
2 * x + 3 * y = 0 → 1 ≤ x → y < 1 := by
grind
-- Reasoning with divisibility.
example (a b : Int) :
2 ∣ a + 1 → 2 ∣ b + a → ¬ 2 ∣ b + 2 * a := by
grind
example (x y : Int) :
27 ≤ 11*x + 13*y →
11*x + 13*y ≤ 45 →
-10 ≤ 7*x - 9*y →
7*x - 9*y ≤ 4 → False := by
grind
-- Types that implement the `ToInt` type-class.
example (a b c : UInt64)
: a ≤ 2 → b ≤ 3 → c - a - b = 0 → c ≤ 5 := by
grind
Algebraic solver (ring) #
grind ships with an algebraic solver nick-named ring for goals that can
be phrased as polynomial equations (or disequations) over commutative rings,
semirings, or fields.
Works out of the box All core numeric types and relevant Mathlib types already provide the required type-class instances, so the solver is ready to use in most developments.
What it can decide:
- equalities of the form
p = q - disequalities
p ≠ q - basic reasoning under field inverses (
a / b := a * b⁻¹) - goals that mix ring facts with other
grindengines
Key options: #
grind -ringturn the solver off (useful when debugging)grind (ringSteps := n)cap the number of steps performed by this procedure.
Examples #
open Lean Grind
example [CommRing α] (x : α) : (x + 1) * (x - 1) = x^2 - 1 := by
grind
-- Characteristic 256 means 16 * 16 = 0.
example [CommRing α] [IsCharP α 256] (x : α) :
(x + 16) * (x - 16) = x^2 := by
grind
-- Works on built-in rings such as `UInt8`.
example (x : UInt8) : (x + 16) * (x - 16) = x^2 := by
grind
example [CommRing α] (a b c : α) :
a + b + c = 3 →
a^2 + b^2 + c^2 = 5 →
a^3 + b^3 + c^3 = 7 →
a^4 + b^4 = 9 - c^4 := by
grind
example [Field α] [NoNatZeroDivisors α] (a : α) :
1 / a + 1 / (2 * a) = 3 / (2 * a) := by
grind
Other options #
grind (splits := <num>)caps the depth of the search tree. Once a branch performsnumsplitsgrindstops splitting further in that branch.grind -splitItedisables case splitting on if-then-else expressions.grind -splitMatchdisables case splitting onmatchexpressions.grind +splitImpinstructsgrindto split on any hypothesisA → Bwhose antecedentAis propositional.grind -linarithdisables the linear arithmetic solver for (ordered) modules and rings.
Additional Examples #
example {a b} {as bs : List α} : (as ++ bs ++ [b]).getLastD a = b := by
grind
example (x : BitVec (w+1)) : (BitVec.cons x.msb (x.setWidth w)) = x := by
grind
example (as : Array α) (lo hi i j : Nat) :
lo ≤ i → i < j → j ≤ hi → j < as.size → min lo (as.size - 1) ≤ i := by
grind
- Tags:
- Defined in module:
- Init.Grind.Tactics
grind?
grind? takes the same arguments as grind, but reports an equivalent call to grind only
that would be sufficient to close the goal. This is useful for reducing the size of the grind
theorems in a local invocation.
- Tags:
- Defined in module:
- Init.Grind.Tactics
grobner
grobner solves goals that can be phrased as polynomial equations (with further polynomial equations as hypotheses)
over commutative (semi)rings, using the Grobner basis algorithm.
It is a implemented as a thin wrapper around the grind tactic, enabling only the grobner solver.
Please use grind instead if you need additional capabilities.
- Tags:
- Defined in module:
- Init.Grind.Tactics
guard_expr
Tactic to check equality of two expressions.
guard_expr e = e'checks thateande'are defeq at reducible transparency.guard_expr e =~ e'checks thateande'are defeq at default transparency.guard_expr e =ₛ e'checks thateande'are syntactically equal.guard_expr e =ₐ e'checks thateande'are alpha-equivalent.
Both e and e' are elaborated then have their metavariables instantiated before the equality
check. Their types are unified (using isDefEqGuarded) before synthetic metavariables are
processed, which helps with default instance handling.
- Tags:
- Defined in module:
- Init.Guard
guard_hyp
Tactic to check that a named hypothesis has a given type and/or value.
guard_hyp h : tchecks the type up to reducible defeq,guard_hyp h :~ tchecks the type up to default defeq,guard_hyp h :ₛ tchecks the type up to syntactic equality,guard_hyp h :ₐ tchecks the type up to alpha equality.guard_hyp h := vchecks value up to reducible defeq,guard_hyp h :=~ vchecks value up to default defeq,guard_hyp h :=ₛ vchecks value up to syntactic equality,guard_hyp h :=ₐ vchecks the value up to alpha equality.
The value v is elaborated using the type of h as the expected type.
- Tags:
- Defined in module:
- Init.Guard
guard_target
Tactic to check that the target agrees with a given expression.
guard_target = echecks that the target is defeq at reducible transparency toe.guard_target =~ echecks that the target is defeq at default transparency toe.guard_target =ₛ echecks that the target is syntactically equal toe.guard_target =ₐ echecks that the target is alpha-equivalent toe.
The term e is elaborated with the type of the goal as the expected type, which is mostly
useful within conv mode.
- Tags:
- Defined in module:
- Init.Guard
have
The have tactic is for adding opaque definitions and hypotheses to the local context of the main goal.
The definitions forget their associated value and cannot be unfolded, unlike definitions added by the let tactic.
have h : t := eadds the hypothesish : tifeis a term of typet.have h := euses the type ofefort.have : t := eandhave := eusethisfor the name of the hypothesis.have pat := efor a patternpatis equivalent tomatch e with | pat => _, where_stands for the tactics that follow this one. It is convenient for types that have only one applicable constructor. For example, givenh : p ∧ q ∧ r,have ⟨h₁, h₂, h₃⟩ := hproduces the hypothesesh₁ : p,h₂ : q, andh₃ : r.- The syntax
have (eq := h) pat := eis equivalent tomatch h : e with | pat => _, which adds the equationh : e = patto the local context.
The tactic supports all the same syntax variants and options as the have term.
Properties and relations #
- It is not possible to unfold a variable introduced using
have, since the definition's value is forgotten. Thelettactic introduces definitions that can be unfolded. - The
have h : t := eis like doinglet h : t := e; clear_value h. - The
havetactic is preferred for propositions, andletis preferred for non-propositions. - Sometimes
haveis used for non-propositions to ensure that the variable is never unfolded, which may be important for performance reasons. Consider using the equivalentlet +nondepto indicate the intent.
- Tags:
- Defined in module:
- Init.Tactics
haveI
haveI behaves like have, but inlines the value instead of producing a have term.
- Tags:
- Defined in module:
- Init.Tactics
if
In tactic mode, if t then tac1 else tac2 is alternative syntax for:
by_cases t
· tac1
· tac2
It performs case distinction on h† : t or h† : ¬t, where h† is an anonymous hypothesis, and
tac1 and tac2 are the subproofs. (It doesn't actually use nondependent if, since this wouldn't
add anything to the context and hence would be useless for proving theorems. To actually insert an
ite application use refine if t then ?_ else ?_.)
The assumptions in each subgoal can be named. if h : t then tac1 else tac2 can be used as
alternative syntax for:
by_cases h : t
· tac1
· tac2
It performs case distinction on h : t or h : ¬t.
You can use ?_ or _ for either subproof to delay the goal to after the tactic, but
if a tactic sequence is provided for tac1 or tac2 then it will require the goal to be closed
by the end of the block.
- Tags:
- Defined in module:
- Init.Tactics
induction
Assuming x is a variable in the local context with an inductive type,
induction x applies induction on x to the main goal,
producing one goal for each constructor of the inductive type,
in which the target is replaced by a general instance of that constructor
and an inductive hypothesis is added for each recursive argument to the constructor.
If the type of an element in the local context depends on x,
that element is reverted and reintroduced afterward,
so that the inductive hypothesis incorporates that hypothesis as well.
For example, given n : Nat and a goal with a hypothesis h : P n and target Q n,
induction n produces one goal with hypothesis h : P 0 and target Q 0,
and one goal with hypotheses h : P (Nat.succ a) and ih₁ : P a → Q a and target Q (Nat.succ a).
Here the names a and ih₁ are chosen automatically and are not accessible.
You can use with to provide the variables names for each constructor.
induction e, whereeis an expression instead of a variable, generalizesein the goal, and then performs induction on the resulting variable.induction e using rallows the user to specify the principle of induction that should be used. Herershould be a term whose result type must be of the formC t, whereCis a bound variable andtis a (possibly empty) sequence of bound variablesinduction e generalizing z₁ ... zₙ, wherez₁ ... zₙare variables in the local context, generalizes overz₁ ... zₙbefore applying the induction but then introduces them in each goal. In other words, the net effect is that each inductive hypothesis is generalized.- Given
x : Nat,induction x with | zero => tac₁ | succ x' ih => tac₂uses tactictac₁for thezerocase, andtac₂for thesucccase.
- Tags:
- Defined in module:
- Init.Tactics
infer_instance
infer_instance is an abbreviation for exact inferInstance.
It synthesizes a value of any target type by typeclass inference.
- Tags:
- Defined in module:
- Init.Tactics
injection
The injection tactic is based on the fact that constructors of inductive data
types are injections.
That means that if c is a constructor of an inductive datatype, and if (c t₁)
and (c t₂) are two terms that are equal then t₁ and t₂ are equal too.
If q is a proof of a statement of conclusion t₁ = t₂, then injection applies
injectivity to derive the equality of all arguments of t₁ and t₂ placed in
the same positions. For example, from (a::b) = (c::d) we derive a=c and b=d.
To use this tactic t₁ and t₂ should be constructor applications of the same constructor.
Given h : a::b = c::d, the tactic injection h adds two new hypothesis with types
a = c and b = d to the main goal.
The tactic injection h with h₁ h₂ uses the names h₁ and h₂ to name the new hypotheses.
- Tags:
- Defined in module:
- Init.Tactics
injections
injections applies injection to all hypotheses recursively
(since injection can produce new hypotheses). Useful for destructing nested
constructor equalities like (a::b::c) = (d::e::f).
- Tags:
- Defined in module:
- Init.Tactics
intro
Introduces one or more hypotheses, optionally naming and/or pattern-matching them.
For each hypothesis to be introduced, the remaining main goal's target type must
be a let or function type.
introby itself introduces one anonymous hypothesis, which can be accessed by e.g.assumption. It is equivalent tointro _.intro x yintroduces two hypotheses and names them. Individual hypotheses can be anonymized via_, given a type ascription, or matched against a pattern:-- ... ⊢ α × β → ... intro (a, b) -- ..., a : α, b : β ⊢ ...intro rflis short forintro h; subst h, ifhis an equality where the left-hand or right-hand side is a variable.- Alternatively,
introcan be combined with pattern matching much likefun:intro | n + 1, 0 => tac | ...
- Tags:
- Defined in module:
- Init.Tactics
intros
intros repeatedly applies intro to introduce zero or more hypotheses
until the goal is no longer a binding expression
(i.e., a universal quantifier, function type, implication, or have/let),
without performing any definitional reductions (no unfolding, beta, eta, etc.).
The introduced hypotheses receive inaccessible (hygienic) names.
intros x y z is equivalent to intro x y z and exists only for historical reasons.
The intro tactic should be preferred in this case.
Properties and relations #
introssucceeds even when it introduces no hypotheses.repeat introis likeintros, but it performs definitional reductions to expose binders, and as such it may introduce more hypotheses thanintros.introsis equivalent tointro _ _ … _, with the fewest trailing_placeholders needed so that the goal is no longer a binding expression. The trailing introductions do not perform any definitional reductions.
Examples #
Implications:
example (p q : Prop) : p → q → p := by
intros
/- Tactic state
a✝¹ : p
a✝ : q
⊢ p -/
assumption
Let-bindings:
example : let n := 1; let k := 2; n + k = 3 := by
intros
/- n✝ : Nat := 1
k✝ : Nat := 2
⊢ n✝ + k✝ = 3 -/
rfl
Does not unfold definitions:
def AllEven (f : Nat → Nat) := ∀ n, f n % 2 = 0
example : ∀ (f : Nat → Nat), AllEven f → AllEven (fun k => f (k + 1)) := by
intros
/- Tactic state
f✝ : Nat → Nat
a✝ : AllEven f✝
⊢ AllEven fun k => f✝ (k + 1) -/
sorry
- Tags:
- Defined in module:
- Init.Tactics
iterate
iterate n tac runs tac exactly n times.
iterate tac runs tac repeatedly until failure.
iterate's argument is a tactic sequence,
so multiple tactics can be run using iterate n (tac₁; tac₂; ⋯) or
iterate n
tac₁
tac₂
⋯
- Tags:
- Defined in module:
- Init.TacticsExtra
left
Applies the first constructor when the goal is an inductive type with exactly two constructors, or fails otherwise.
example : True ∨ False := by
left
trivial
- Tags:
- Defined in module:
- Init.Tactics
let
The let tactic is for adding definitions to the local context of the main goal.
The definition can be unfolded, unlike definitions introduced by have.
let x : t := eadds the definitionx : t := eifeis a term of typet.let x := euses the type ofefort.let : t := eandlet := eusethisfor the name of the hypothesis.let pat := efor a patternpatis equivalent tomatch e with | pat => _, where_stands for the tactics that follow this one. It is convenient for types that let only one applicable constructor. For example, givenp : α × β × γ,let ⟨x, y, z⟩ := pproduces the local variablesx : α,y : β, andz : γ.- The syntax
let (eq := h) pat := eis equivalent tomatch h : e with | pat => _, which adds the equationh : e = patto the local context.
The tactic supports all the same syntax variants and options as the let term.
Properties and relations #
- Unlike
have, it is possible to unfold definitions introduced usinglet, using tactics such assimp,dsimp,unfold, andsubst. - The
clear_valuetactic turns aletdefinition into ahavedefinition after the fact. The tactic might fail if the local context depends on the value of the variable. - The
lettactic is preferred for data (non-propositions). - Sometimes
haveis used for non-propositions to ensure that the variable is never unfolded, which may be important for performance reasons.
- Tags:
- Defined in module:
- Init.Tactics
let rec
let rec f : t := e adds a recursive definition f to the current goal.
The syntax is the same as term-mode let rec.
The tactic supports all the same syntax variants and options as the let term.
- Tags:
- Defined in module:
- Init.Tactics
letI
letI behaves like let, but inlines the value instead of producing a let term.
- Tags:
- Defined in module:
- Init.Tactics
let_to_have
Transforms let expressions into have expressions when possible.
let_to_havetransformslets in the target.let_to_have at htransformslets in the given local hypothesis.
- Tags:
- Defined in module:
- Init.Tactics
lia
lia solves linear integer arithmetic goals.
It is a implemented as a thin wrapper around the grind tactic, enabling only the lia solver.
Please use grind instead if you need additional capabilities.
- Tags:
- Defined in module:
- Init.Grind.Tactics
lift_lets
Lifts let and have expressions within a term as far out as possible.
It is like extract_lets +lift, but the top-level lets at the end of the procedure
are not extracted as local hypotheses.
lift_letslifts let expressions in the target.lift_lets at hlifts let expressions at the given local hypothesis.
For example,
example : (let x := 1; x) = 1 := by
lift_lets
-- ⊢ let x := 1; x = 1
...
- Tags:
- Defined in module:
- Init.Tactics
massumption
massumption is like assumption, but operating on a stateful Std.Do.SPred goal.
example (P Q : SPred σs) : Q ⊢ₛ P → Q := by
mintro _ _
massumption
- Tags:
- Defined in module:
- Init.Tactics
match
match performs case analysis on one or more expressions.
See Induction and Recursion.
The syntax for the match tactic is the same as term-mode match, except that
the match arms are tactics instead of expressions.
example (n : Nat) : n = n := by
match n with
| 0 => rfl
| i+1 => simp
- Tags:
- Defined in module:
- Lean.Parser.Tactic
mcases
Like rcases, but operating on stateful Std.Do.SPred goals.
Example: Given a goal h : (P ∧ (Q ∨ R) ∧ (Q → R)) ⊢ₛ R,
mcases h with ⟨-, ⟨hq | hr⟩, hqr⟩ will yield two goals:
(hq : Q, hqr : Q → R) ⊢ₛ R and (hr : R) ⊢ₛ R.
That is, mcases h with pat has the following semantics, based on pat:
pat=□h'renameshtoh'in the stateful context, regardless of whetherhis purepat=⌜h'⌝introducesh' : φto the pure local context ifh : ⌜φ⌝(c.f.Lean.Elab.Tactic.Do.ProofMode.IsPure)pat=h'is likepat=⌜h'⌝ifhis pure (c.f.Lean.Elab.Tactic.Do.ProofMode.IsPure), otherwise it is likepat=□h'.pat=_renameshto an inaccessible namepat=-discardsh⟨pat₁, pat₂⟩matches on conjunctions and existential quantifiers and recurses viapat₁andpat₂.⟨pat₁ | pat₂⟩matches on disjunctions, matching the left alternative viapat₁and the right alternative viapat₂.
- Tags:
- Defined in module:
- Init.Tactics
mclear
mclear is like clear, but operating on a stateful Std.Do.SPred goal.
example (P Q : SPred σs) : P ⊢ₛ Q → Q := by
mintro HP
mintro HQ
mclear HP
mexact HQ
- Tags:
- Defined in module:
- Init.Tactics
mconstructor
mconstructor is like constructor, but operating on a stateful Std.Do.SPred goal.
example (Q : SPred σs) : Q ⊢ₛ Q ∧ Q := by
mintro HQ
mconstructor <;> mexact HQ
- Tags:
- Defined in module:
- Init.Tactics
mexact
mexact is like exact, but operating on a stateful Std.Do.SPred goal.
example (Q : SPred σs) : Q ⊢ₛ Q := by
mstart
mintro HQ
mexact HQ
- Tags:
- Defined in module:
- Init.Tactics
mexfalso
mexfalso is like exfalso, but operating on a stateful Std.Do.SPred goal.
example (P : SPred σs) : ⌜False⌝ ⊢ₛ P := by
mintro HP
mexfalso
mexact HP
- Tags:
- Defined in module:
- Init.Tactics
mexists
mexists is like exists, but operating on a stateful Std.Do.SPred goal.
example (ψ : Nat → SPred σs) : ψ 42 ⊢ₛ ∃ x, ψ x := by
mintro H
mexists 42
- Tags:
- Defined in module:
- Init.Tactics
mframe
mframe infers which hypotheses from the stateful context can be moved into the pure context.
This is useful because pure hypotheses "survive" the next application of modus ponens
(Std.Do.SPred.mp) and transitivity (Std.Do.SPred.entails.trans).
It is used as part of the mspec tactic.
example (P Q : SPred σs) : ⊢ₛ ⌜p⌝ ∧ Q ∧ ⌜q⌝ ∧ ⌜r⌝ ∧ P ∧ ⌜s⌝ ∧ ⌜t⌝ → Q := by
mintro _
mframe
/- `h : p ∧ q ∧ r ∧ s ∧ t` in the pure context -/
mcases h with hP
mexact h
- Tags:
- Defined in module:
- Init.Tactics
mhave
mhave is like have, but operating on a stateful Std.Do.SPred goal.
example (P Q : SPred σs) : P ⊢ₛ (P → Q) → Q := by
mintro HP HPQ
mhave HQ : Q := by mspecialize HPQ HP; mexact HPQ
mexact HQ
- Tags:
- Defined in module:
- Init.Tactics
mintro
Like intro, but introducing stateful hypotheses into the stateful context of the Std.Do.SPred
proof mode.
That is, given a stateful goal (hᵢ : Hᵢ)* ⊢ₛ P → T, mintro h transforms
into (hᵢ : Hᵢ)*, (h : P) ⊢ₛ T.
Furthermore, mintro ∀s is like intro s, but preserves the stateful goal.
That is, mintro ∀s brings the topmost state variable s:σ in scope and transforms
(hᵢ : Hᵢ)* ⊢ₛ T (where the entailment is in Std.Do.SPred (σ::σs)) into
(hᵢ : Hᵢ s)* ⊢ₛ T s (where the entailment is in Std.Do.SPred σs).
Beyond that, mintro supports the full syntax of mcases patterns
(mintro pat = (mintro h; mcases h with pat), and can perform multiple
introductions in sequence.
- Tags:
- Defined in module:
- Init.Tactics
mleave
Leaves the stateful proof mode of Std.Do.SPred, tries to eta-expand through all definitions
related to the logic of the Std.Do.SPred and gently simplifies the resulting pure Lean
proposition. This is often the right thing to do after mvcgen in order for automation to prove
the goal.
- Tags:
- Defined in module:
- Init.Tactics
mleft
mleft is like left, but operating on a stateful Std.Do.SPred goal.
example (P Q : SPred σs) : P ⊢ₛ P ∨ Q := by
mintro HP
mleft
mexact HP
- Tags:
- Defined in module:
- Init.Tactics
mpure
mpure moves a pure hypothesis from the stateful context into the pure context.
example (Q : SPred σs) (ψ : φ → ⊢ₛ Q): ⌜φ⌝ ⊢ₛ Q := by
mintro Hφ
mpure Hφ
mexact (ψ Hφ)
- Tags:
- Defined in module:
- Init.Tactics
mpure_intro
mpure_intro operates on a stateful Std.Do.SPred goal of the form P ⊢ₛ ⌜φ⌝.
It leaves the stateful proof mode (thereby discarding P), leaving the regular goal φ.
theorem simple : ⊢ₛ (⌜True⌝ : SPred σs) := by
mpure_intro
exact True.intro
- Tags:
- Defined in module:
- Init.Tactics
mrefine
Like refine, but operating on stateful Std.Do.SPred goals.
example (P Q R : SPred σs) : (P ∧ Q ∧ R) ⊢ₛ P ∧ R := by
mintro ⟨HP, HQ, HR⟩
mrefine ⟨HP, HR⟩
example (ψ : Nat → SPred σs) : ψ 42 ⊢ₛ ∃ x, ψ x := by
mintro H
mrefine ⟨⌜42⌝, H⟩
- Tags:
- Defined in module:
- Init.Tactics
mrename_i
mrename_i is like rename_i, but names inaccessible stateful hypotheses in a Std.Do.SPred goal.
- Tags:
- Defined in module:
- Init.Tactics
mreplace
mreplace is like replace, but operating on a stateful Std.Do.SPred goal.
example (P Q : SPred σs) : P ⊢ₛ (P → Q) → Q := by
mintro HP HPQ
mreplace HPQ : Q := by mspecialize HPQ HP; mexact HPQ
mexact HPQ
- Tags:
- Defined in module:
- Init.Tactics
mrevert
mrevert is like revert, but operating on a stateful Std.Do.SPred goal.
example (P Q R : SPred σs) : P ∧ Q ∧ R ⊢ₛ P → R := by
mintro ⟨HP, HQ, HR⟩
mrevert HR
mrevert HP
mintro HP'
mintro HR'
mexact HR'
- Tags:
- Defined in module:
- Init.Tactics
mright
mright is like right, but operating on a stateful Std.Do.SPred goal.
example (P Q : SPred σs) : P ⊢ₛ Q ∨ P := by
mintro HP
mright
mexact HP
- Tags:
- Defined in module:
- Init.Tactics
mspec
mspec is an apply-like tactic that applies a Hoare triple specification to the target of the
stateful goal.
Given a stateful goal H ⊢ₛ wp⟦prog⟧ Q', mspec foo_spec will instantiate
foo_spec : ... → ⦃P⦄ foo ⦃Q⦄, match foo against prog and produce subgoals for
the verification conditions ?pre : H ⊢ₛ P and ?post : Q ⊢ₚ Q'.
- If
prog = x >>= f, thenmspec Specs.bindis tried first so thatfoois matched againstxinstead. Tacticmspec_no_binddoes not attempt to do this decomposition. - If
?preor?postfollow by.rfl, then they are discharged automatically. ?postis automatically simplified into constituent⊢ₛentailments on success and failure continuations.?preand?post.*goals introduce their stateful hypothesis under an inaccessible name. You can give it a name with themrename_itactic.- Any uninstantiated MVar arising from instantiation of
foo_specbecomes a new subgoal. - If the target of the stateful goal looks like
fun s => _thenmspecwill firstmintro ∀s. - If
Phas schematic variables that can be instantiated by doingmintro ∀s, for examplefoo_spec : ∀(n:Nat), ⦃fun s => ⌜n = s⌝⦄ foo ⦃Q⦄, thenmspecwill domintro ∀sfirst to instantiaten = s. - Right before applying the spec, the
mframetactic is used, which has the following effect: Any hypothesisHᵢin the goalh₁:H₁, h₂:H₂, ..., hₙ:Hₙ ⊢ₛ Tthat is pure (i.e., equivalent to some⌜φᵢ⌝) will be moved into the pure context ashᵢ:φᵢ.
Additionally, mspec can be used without arguments or with a term argument:
mspecwithout argument will try and look up a spec forxregistered with@[spec].mspec (foo_spec blah ?bleh)will elaborate its argument as a term with expected type⦃?P⦄ x ⦃?Q⦄and introduce?blehas a subgoal. This is useful to pass an invariant to e.g.,Specs.forIn_listand leave the inductive step as a hole.
- Tags:
- Defined in module:
- Init.Tactics
mspec_no_bind
mspec_no_simp $spec first tries to decompose Bind.binds before applying $spec.
This variant of mspec_no_simp does not; mspec_no_bind $spec is defined as
try with_reducible mspec_no_bind Std.Do.Spec.bind
mspec_no_bind $spec
- Tags:
- Defined in module:
- Std.Tactic.Do.Syntax
mspec_no_simp
Like mspec, but does not attempt slight simplification and closing of trivial sub-goals.
mspec $spec is roughly (the set of simp lemmas below might not be up to date)
mspec_no_simp $spec
all_goals
((try simp only [SPred.true_intro_simp, SPred.apply_pure]);
(try mpure_intro; trivial))
- Tags:
- Defined in module:
- Std.Tactic.Do.Syntax
mspecialize
mspecialize is like specialize, but operating on a stateful Std.Do.SPred goal.
It specializes a hypothesis from the stateful context with hypotheses from either the pure
or stateful context or pure terms.
example (P Q : SPred σs) : P ⊢ₛ (P → Q) → Q := by
mintro HP HPQ
mspecialize HPQ HP
mexact HPQ
example (y : Nat) (P Q : SPred σs) (Ψ : Nat → SPred σs) (hP : ⊢ₛ P) : ⊢ₛ Q → (∀ x, P → Q → Ψ x) → Ψ (y + 1) := by
mintro HQ HΨ
mspecialize HΨ (y + 1) hP HQ
mexact HΨ
- Tags:
- Defined in module:
- Init.Tactics
mspecialize_pure
mspecialize_pure is like mspecialize, but it specializes a hypothesis from the
pure context with hypotheses from either the pure or stateful context or pure terms.
example (y : Nat) (P Q : SPred σs) (Ψ : Nat → SPred σs) (hP : ⊢ₛ P) (hΨ : ∀ x, ⊢ₛ P → Q → Ψ x) : ⊢ₛ Q → Ψ (y + 1) := by
mintro HQ
mspecialize_pure (hΨ (y + 1)) hP HQ => HΨ
mexact HΨ
- Tags:
- Defined in module:
- Init.Tactics
mstart
Start the stateful proof mode of Std.Do.SPred.
This will transform a stateful goal of the form H ⊢ₛ T into ⊢ₛ H → T
upon which mintro can be used to re-introduce H and give it a name.
It is often more convenient to use mintro directly, which will
try mstart automatically if necessary.
- Tags:
- Defined in module:
- Init.Tactics
mstop
Stops the stateful proof mode of Std.Do.SPred.
This will simply forget all the names given to stateful hypotheses and pretty-print
a bit differently.
- Tags:
- Defined in module:
- Init.Tactics
mvcgen
mvcgen will break down a Hoare triple proof goal like ⦃P⦄ prog ⦃Q⦄ into verification conditions,
provided that all functions used in prog have specifications registered with @[spec].
Verification Conditions and specifications #
A verification condition is an entailment in the stateful logic of Std.Do.SPred
in which the original program prog no longer occurs.
Verification conditions are introduced by the mspec tactic; see the mspec tactic for what they
look like.
When there's no applicable mspec spec, mvcgen will try and rewrite an application
prog = f a b c with the simp set registered via @[spec].
Features #
When used like mvcgen +noLetElim [foo_spec, bar_def, instBEqFloat], mvcgen will additionally
- add a Hoare triple specification
foo_spec : ... → ⦃P⦄ foo ... ⦃Q⦄tospecset for a functionfoooccurring inprog, - unfold a definition
def bar_def ... := ...inprog, - unfold any method of the
instBEqFloat : BEq Floatinstance inprog. - it will no longer substitute away
let-expressions that occur at most once inP,Qorprog.
Config options #
+noLetElim is just one config option of many. Check out Lean.Elab.Tactic.Do.VCGen.Config for all
options. Of particular note is stepLimit = some 42, which is useful for bisecting bugs in
mvcgen and tracing its execution.
Extended syntax #
Often, mvcgen will be used like this:
mvcgen [...]
case inv1 => by exact I1
case inv2 => by exact I2
all_goals (mleave; try grind)
There is special syntax for this:
mvcgen [...] invariants
· I1
· I2
with grind
When I1 and I2 need to refer to inaccessibles (mvcgen will introduce a lot of them for program
variables), you can use case label syntax:
mvcgen [...] invariants
| inv1 _ acc _ => I1 acc
| _ => I2
with grind
This is more convenient than the equivalent · by rename_i _ acc _; exact I1 acc.
Invariant suggestions #
mvcgen will suggest invariants for you if you use the invariants? keyword.
mvcgen [...] invariants?
This is useful if you do not recall the exact syntax to construct invariants. Furthermore, it will suggest a concrete invariant encoding "this holds at the start of the loop and this must hold at the end of the loop" by looking at the corresponding VCs. Although the suggested invariant is a good starting point, it is too strong and requires users to interpolate it such that the inductive step can be proved. Example:
def mySum (l : List Nat) : Nat := Id.run do
let mut acc := 0
for x in l do
acc := acc + x
return acc
/--
info: Try this:
invariants
· ⇓⟨xs, letMuts⟩ => ⌜xs.prefix = [] ∧ letMuts = 0 ∨ xs.suffix = [] ∧ letMuts = l.sum⌝
-/
#guard_msgs (info) in
theorem mySum_suggest_invariant (l : List Nat) : mySum l = l.sum := by
generalize h : mySum l = r
apply Id.of_wp_run_eq h
mvcgen invariants?
all_goals admit
- Tags:
- Defined in module:
- Init.Tactics
mvcgen_trivial
mvcgen_trivial is the tactic automatically called by mvcgen to discharge VCs.
It tries to discharge the VC by applying (try mpure_intro); trivial and otherwise delegates to
mvcgen_trivial_extensible.
Users are encouraged to extend mvcgen_trivial_extensible instead of this tactic in order not to
override the default (try mpure_intro); trivial behavior.
- Tags:
- Defined in module:
- Std.Tactic.Do.Syntax
mvcgen_trivial_extensible
This tactic has no documentation.
- Tags:
- Defined in module:
- Std.Tactic.Do.Syntax
native_decide
native_decide is a synonym for decide +native.
It will attempt to prove a goal of type p by synthesizing an instance
of Decidable p and then evaluating it to isTrue ... Unlike decide, this
uses #eval to evaluate the decidability instance.
This should be used with care because it adds the entire lean compiler to the trusted
part, and the axiom Lean.ofReduceBool will show up in #print axioms for theorems using
this method or anything that transitively depends on them. Nevertheless, because it is
compiled, this can be significantly more efficient than using decide, and for very
large computations this is one way to run external programs and trust the result.
example : (List.range 1000).length = 1000 := by native_decide
- Tags:
- Defined in module:
- Init.Tactics
next
next => tac focuses on the next goal and solves it using tac, or else fails.
next x₁ ... xₙ => tac additionally renames the n most recent hypotheses with
inaccessible names to the given names.
- Tags:
- Defined in module:
- Init.Tactics
nofun
The tactic nofun is shorthand for exact nofun: it introduces the assumptions, then performs an
empty pattern match, closing the goal if the introduced pattern is impossible.
- Tags:
- Defined in module:
- Init.Tactics
norm_cast
The norm_cast family of tactics is used to normalize certain coercions (casts) in expressions.
The tactic is basically a version of simp with a specific set of lemmas to move casts
upwards in the expression.
Therefore even in situations where non-terminal simp calls are discouraged (because of fragility),
norm_cast is considered to be safe.
It also has special handling of numerals.
For instance, given an assumption
a b : ℤ
h : ↑a + ↑b < (10 : ℚ)
writing norm_cast at h will turn h into
h : a + b < 10
There are also variants of basic tactics that use norm_cast to normalize expressions during
their operation, to make them more flexible about the expressions they accept
(we say that it is a tactic modulo the effects of norm_cast):
exact_mod_castforexactandapply_mod_castforapply. Writingexact_mod_cast handapply_mod_cast hwill normalize casts in the goal andhbefore usingexact horapply h.rw_mod_castforrw. It appliesnorm_castbetween rewrites.assumption_mod_castforassumption. This is effectivelynorm_cast at *; assumption, but more efficient. It normalizes casts in the goal and, for every hypothesishin the context, it will try to normalize casts inhand useexact h.
See also push_cast, which moves casts inwards rather than lifting them outwards.
- Tags:
- Defined in module:
- Init.Tactics
norm_cast0
Implementation of norm_cast (the full norm_cast calls trivial afterwards).
- Tags:
- Defined in module:
- Init.Tactics
obtain
The obtain tactic is a combination of have and rcases. See rcases for
a description of supported patterns.
obtain ⟨patt⟩ : type := proof
is equivalent to
have h : type := proof
rcases h with ⟨patt⟩
If ⟨patt⟩ is omitted, rcases will try to infer the pattern.
If type is omitted, := proof is required.
- Tags:
- Defined in module:
- Init.RCases
omega
The omega tactic, for resolving integer and natural linear arithmetic problems.
It is not yet a full decision procedure (no "dark" or "grey" shadows), but should be effective on many problems.
We handle hypotheses of the form x = y, x < y, x ≤ y, and k ∣ x for x y in Nat or Int
(and k a literal), along with negations of these statements.
We decompose the sides of the inequalities as linear combinations of atoms.
If we encounter x / k or x % k for literal integers k we introduce new auxiliary variables
and the relevant inequalities.
On the first pass, we do not perform case splits on natural subtraction.
If omega fails, we recursively perform a case split on
a natural subtraction appearing in a hypothesis, and try again.
The options
omega +splitDisjunctions +splitNatSub +splitNatAbs +splitMinMax
can be used to:
splitDisjunctions: split any disjunctions found in the context, if the problem is not otherwise solvable.splitNatSub: for each appearance of((a - b : Nat) : Int), split ona ≤ bif necessary.splitNatAbs: for each appearance ofInt.natAbs a, split on0 ≤ aif necessary.splitMinMax: for each occurrence ofmin a b, split onmin a b = a ∨ min a b = bCurrently, all of these are on by default.
- Tags:
- Defined in module:
- Init.Tactics
open
open Foo in tacs (the tactic) acts like open Foo at command level,
but it opens a namespace only within the tactics tacs.
- Tags:
- Defined in module:
- Lean.Parser.Command
push_cast
push_cast rewrites the goal to move certain coercions (casts) inward, toward the leaf nodes.
This uses norm_cast lemmas in the forward direction.
For example, ↑(a + b) will be written to ↑a + ↑b.
push_castmoves casts inward in the goal.push_cast at hmoves casts inward in the hypothesish. It can be used with extra simp lemmas with, for example,push_cast [Int.add_zero].
Example:
example (a b : Nat)
(h1 : ((a + b : Nat) : Int) = 10)
(h2 : ((a + b + 0 : Nat) : Int) = 10) :
((a + b : Nat) : Int) = 10 := by
/-
h1 : ↑(a + b) = 10
h2 : ↑(a + b + 0) = 10
⊢ ↑(a + b) = 10
-/
push_cast
/- Now
⊢ ↑a + ↑b = 10
-/
push_cast at h1
push_cast [Int.add_zero] at h2
/- Now
h1 h2 : ↑a + ↑b = 10
-/
exact h1
See also norm_cast.
- Tags:
- Defined in module:
- Init.Tactics
rcases
rcases is a tactic that will perform cases recursively, according to a pattern. It is used to
destructure hypotheses or expressions composed of inductive types like h1 : a ∧ b ∧ c ∨ d or
h2 : ∃ x y, trans_rel R x y. Usual usage might be rcases h1 with ⟨ha, hb, hc⟩ | hd or
rcases h2 with ⟨x, y, _ | ⟨z, hxz, hzy⟩⟩ for these examples.
Each element of an rcases pattern is matched against a particular local hypothesis (most of which
are generated during the execution of rcases and represent individual elements destructured from
the input expression). An rcases pattern has the following grammar:
- A name like
x, which names the active hypothesis asx. - A blank
_, which does nothing (letting the automatic naming system used bycasesname the hypothesis). - A hyphen
-, which clears the active hypothesis and any dependents. - The keyword
rfl, which expects the hypothesis to beh : a = b, and callssubston the hypothesis (which has the effect of replacingbwithaeverywhere or vice versa). - A type ascription
p : ty, which sets the type of the hypothesis totyand then matches it againstp. (Of course,tymust unify with the actual type ofhfor this to work.) - A tuple pattern
⟨p1, p2, p3⟩, which matches a constructor with many arguments, or a series of nested conjunctions or existentials. For example if the active hypothesis isa ∧ b ∧ c, then the conjunction will be destructured, andp1will be matched againsta,p2againstband so on. - A
@before a tuple pattern as in@⟨p1, p2, p3⟩will bind all arguments in the constructor, while leaving the@off will only use the patterns on the explicit arguments. - An alternation pattern
p1 | p2 | p3, which matches an inductive type with multiple constructors, or a nested disjunction likea ∨ b ∨ c.
A pattern like ⟨a, b, c⟩ | ⟨d, e⟩ will do a split over the inductive datatype,
naming the first three parameters of the first constructor as a,b,c and the
first two of the second constructor d,e. If the list is not as long as the
number of arguments to the constructor or the number of constructors, the
remaining variables will be automatically named. If there are nested brackets
such as ⟨⟨a⟩, b | c⟩ | d then these will cause more case splits as necessary.
If there are too many arguments, such as ⟨a, b, c⟩ for splitting on
∃ x, ∃ y, p x, then it will be treated as ⟨a, ⟨b, c⟩⟩, splitting the last
parameter as necessary.
rcases also has special support for quotient types: quotient induction into Prop works like
matching on the constructor quot.mk.
rcases h : e with PAT will do the same as rcases e with PAT with the exception that an
assumption h : e = PAT will be added to the context.
- Tags:
- Defined in module:
- Init.RCases
refine
refine e behaves like exact e, except that named (?x) or unnamed (?_)
holes in e that are not solved by unification with the main goal's target type
are converted into new goals, using the hole's name, if any, as the goal case name.
- Tags:
- Defined in module:
- Init.Tactics
refine'
refine' e behaves like refine e, except that unsolved placeholders (_)
and implicit parameters are also converted into new goals.
- Tags:
- Defined in module:
- Init.Tactics
refine_lift
Auxiliary macro for lifting have/suffices/let/...
It makes sure the "continuation" ?_ is the main goal after refining.
- Tags:
- Defined in module:
- Init.Tactics
rename
rename t => x renames the most recent hypothesis whose type matches t
(which may contain placeholders) to x, or fails if no such hypothesis could be found.
- Tags:
- Defined in module:
- Init.Tactics
rename_i
rename_i x_1 ... x_n renames the last n inaccessible names using the given names.
- Tags:
- Defined in module:
- Init.Tactics
repeat
repeat tac repeatedly applies tac so long as it succeeds.
The tactic tac may be a tactic sequence, and if tac fails at any point in its execution,
repeat will revert any partial changes that tac made to the tactic state.
The tactic tac should eventually fail, otherwise repeat tac will run indefinitely.
See also:
try tacis likerepeat tacbut will applytacat most once.repeat' tacrecursively appliestacto each goal.first | tac1 | tac2implements the backtracking used byrepeat
- Tags:
- Defined in module:
- Init.Tactics
repeat'
repeat' tac recursively applies tac on all of the goals so long as it succeeds.
That is to say, if tac produces multiple subgoals, then repeat' tac is applied to each of them.
See also:
repeat tacsimply repeatedly appliestac.repeat1' tacisrepeat' tacbut requires thattacsucceed for some goal at least once.
- Tags:
- Defined in module:
- Init.Tactics
repeat1'
repeat1' tac recursively applies to tac on all of the goals so long as it succeeds,
but repeat1' tac fails if tac succeeds on none of the initial goals.
See also:
repeat tacsimply appliestacrepeatedly.repeat' tacis likerepeat1' tacbut it does not require thattacsucceed at least once.
- Tags:
- Defined in module:
- Init.Tactics
replace
Acts like have, but removes a hypothesis with the same name as
this one if possible. For example, if the state is:
f : α → β
h : α
⊢ goal
Then after replace h := f h the state will be:
f : α → β
h : β
⊢ goal
whereas have h := f h would result in:
f : α → β
h† : α
h : β
⊢ goal
This can be used to simulate the specialize and apply at tactics of Coq.
- Tags:
- Defined in module:
- Init.Tactics
revert
revert x... is the inverse of intro x...: it moves the given hypotheses
into the main goal's target type.
- Tags:
- Defined in module:
- Init.Tactics
rewrite
rewrite [e] applies identity e as a rewrite rule to the target of the main goal.
If e is preceded by left arrow (← or <-), the rewrite is applied in the reverse direction.
If e is a defined constant, then the equational theorems associated with e are used.
This provides a convenient way to unfold e.
rewrite [e₁, ..., eₙ]applies the given rules sequentially.rewrite [e] at lrewriteseat location(s)l, wherelis either*or a list of hypotheses in the local context. In the latter case, a turnstile⊢or|-can also be used, to signify the target of the goal.
Using rw (occs := .pos L) [e],
where L : List Nat, you can control which "occurrences" are rewritten.
(This option applies to each rule, so usually this will only be used with a single rule.)
Occurrences count from 1.
At each allowed occurrence, arguments of the rewrite rule e may be instantiated,
restricting which later rewrites can be found.
(Disallowed occurrences do not result in instantiation.)
(occs := .neg L) allows skipping specified occurrences.
- Tags:
- Defined in module:
- Init.Tactics
rfl
This tactic applies to a goal whose target has the form x ~ x,
where ~ is equality, heterogeneous equality or any relation that
has a reflexivity lemma tagged with the attribute @[refl].
- Tags:
- Defined in module:
- Init.Tactics
rfl'
rfl' is similar to rfl, but disables smart unfolding and unfolds all kinds of definitions,
theorems included (relevant for declarations defined by well-founded recursion).
- Tags:
- Defined in module:
- Init.Tactics
right
Applies the second constructor when the goal is an inductive type with exactly two constructors, or fails otherwise.
example {p q : Prop} (h : q) : p ∨ q := by
right
exact h
- Tags:
- Defined in module:
- Init.Tactics
rintro
The rintro tactic is a combination of the intros tactic with rcases to
allow for destructuring patterns while introducing variables. See rcases for
a description of supported patterns. For example, rintro (a | ⟨b, c⟩) ⟨d, e⟩
will introduce two variables, and then do case splits on both of them producing
two subgoals, one with variables a d e and the other with b c d e.
rintro, unlike rcases, also supports the form (x y : ty) for introducing
and type-ascripting multiple variables at once, similar to binders.
- Tags:
- Defined in module:
- Init.RCases
rotate_left
rotate_left n rotates goals to the left by n. That is, rotate_left 1
takes the main goal and puts it to the back of the subgoal list.
If n is omitted, it defaults to 1.
- Tags:
- Defined in module:
- Init.Tactics
rotate_right
Rotate the goals to the right by n. That is, take the goal at the back
and push it to the front n times. If n is omitted, it defaults to 1.
- Tags:
- Defined in module:
- Init.Tactics
rw
rw is like rewrite, but also tries to close the goal by "cheap" (reducible) rfl afterwards.
- Tags:
- Defined in module:
- Init.Tactics
rw?
rw? tries to find a lemma which can rewrite the goal.
rw? should not be left in proofs; it is a search tool, like apply?.
Suggestions are printed as rw [h] or rw [← h].
You can use rw? [-my_lemma, -my_theorem] to prevent rw? using the named lemmas.
- Tags:
- Defined in module:
- Init.Tactics
rw_mod_cast
Rewrites with the given rules, normalizing casts prior to each step.
- Tags:
- Defined in module:
- Init.TacticsExtra
set_option
set_option opt val in tacs (the tactic) acts like set_option opt val at the command level,
but it sets the option only within the tactics tacs.
- Tags:
- Defined in module:
- Lean.Parser.Command
show
show t finds the first goal whose target unifies with t. It makes that the main goal,
performs the unification, and replaces the target with the unified version of t.
- Tags:
- Defined in module:
- Init.Tactics
show_term
show_term tac runs tac, then prints the generated term in the form
"exact X Y Z" or "refine X ?_ Z" (prefixed by expose_names if necessary)
if there are remaining subgoals.
(For some tactics, the printed term will not be human readable.)
- Tags:
- Defined in module:
- Init.Tactics
simp
The simp tactic uses lemmas and hypotheses to simplify the main goal target or
non-dependent hypotheses. It has many variants:
simpsimplifies the main goal target using lemmas tagged with the attribute[simp].simp [h₁, h₂, ..., hₙ]simplifies the main goal target using the lemmas tagged with the attribute[simp]and the givenhᵢ's, where thehᵢ's are expressions.-- If an
hᵢis a defined constantf, thenfis unfolded. Iffhas equational lemmas associated with it (and is not a projection or areducibledefinition), these are used to rewrite withf. simp [*]simplifies the main goal target using the lemmas tagged with the attribute[simp]and all hypotheses.simp only [h₁, h₂, ..., hₙ]is likesimp [h₁, h₂, ..., hₙ]but does not use[simp]lemmas.simp [-id₁, ..., -idₙ]simplifies the main goal target using the lemmas tagged with the attribute[simp], but removes the ones namedidᵢ.simp at h₁ h₂ ... hₙsimplifies the hypothesesh₁ : T₁...hₙ : Tₙ. If the target or another hypothesis depends onhᵢ, a new simplified hypothesishᵢis introduced, but the old one remains in the local context.simp at *simplifies all the hypotheses and the target.simp [*] at *simplifies target and all (propositional) hypotheses using the other hypotheses.
- Tags:
- Defined in module:
- Init.Tactics
simp!
simp! is shorthand for simp with autoUnfold := true.
This will unfold applications of functions defined by pattern matching, when one of the patterns applies.
This can be used to partially evaluate many definitions.
- Tags:
- Defined in module:
- Init.Meta
simp?
simp? takes the same arguments as simp, but reports an equivalent call to simp only
that would be sufficient to close the goal. This is useful for reducing the size of the simp
set in a local invocation to speed up processing.
example (x : Nat) : (if True then x + 2 else 3) = x + 2 := by
simp? -- prints "Try this: simp only [ite_true]"
This command can also be used in simp_all and dsimp.
- Tags:
- Defined in module:
- Init.Tactics
simp?!
simp? takes the same arguments as simp, but reports an equivalent call to simp only
that would be sufficient to close the goal. This is useful for reducing the size of the simp
set in a local invocation to speed up processing.
example (x : Nat) : (if True then x + 2 else 3) = x + 2 := by
simp? -- prints "Try this: simp only [ite_true]"
This command can also be used in simp_all and dsimp.
- Tags:
- Defined in module:
- Init.Tactics
simp_all
simp_all is a stronger version of simp [*] at * where the hypotheses and target
are simplified multiple times until no simplification is applicable.
Only non-dependent propositional hypotheses are considered.
- Tags:
- Defined in module:
- Init.Tactics
simp_all!
simp_all! is shorthand for simp_all with autoUnfold := true.
This will unfold applications of functions defined by pattern matching, when one of the patterns applies.
This can be used to partially evaluate many definitions.
- Tags:
- Defined in module:
- Init.Meta
simp_all?
simp? takes the same arguments as simp, but reports an equivalent call to simp only
that would be sufficient to close the goal. This is useful for reducing the size of the simp
set in a local invocation to speed up processing.
example (x : Nat) : (if True then x + 2 else 3) = x + 2 := by
simp? -- prints "Try this: simp only [ite_true]"
This command can also be used in simp_all and dsimp.
- Tags:
- Defined in module:
- Init.Tactics
simp_all?!
simp? takes the same arguments as simp, but reports an equivalent call to simp only
that would be sufficient to close the goal. This is useful for reducing the size of the simp
set in a local invocation to speed up processing.
example (x : Nat) : (if True then x + 2 else 3) = x + 2 := by
simp? -- prints "Try this: simp only [ite_true]"
This command can also be used in simp_all and dsimp.
- Tags:
- Defined in module:
- Init.Tactics
simp_all_arith
simp_all_arith has been deprecated. It was a shorthand for simp_all +arith +decide.
Note that +decide is not needed for reducing arithmetic terms since simprocs have been added to Lean.
- Tags:
- Defined in module:
- Init.Meta
simp_all_arith!
simp_all_arith! has been deprecated. It was a shorthand for simp_all! +arith +decide.
Note that +decide is not needed for reducing arithmetic terms since simprocs have been added to Lean.
- Tags:
- Defined in module:
- Init.Meta
simp_arith
simp_arith has been deprecated. It was a shorthand for simp +arith +decide.
Note that +decide is not needed for reducing arithmetic terms since simprocs have been added to Lean.
- Tags:
- Defined in module:
- Init.Meta
simp_arith!
simp_arith! has been deprecated. It was a shorthand for simp! +arith +decide.
Note that +decide is not needed for reducing arithmetic terms since simprocs have been added to Lean.
- Tags:
- Defined in module:
- Init.Meta
simp_wf
Unfold definitions commonly used in well founded relation definitions.
Since Lean 4.12, Lean unfolds these definitions automatically before presenting the goal to the
user, and this tactic should no longer be necessary. Calls to simp_wf can be removed or replaced
by plain calls to simp.
- Tags:
- Defined in module:
- Init.WFTactics
simpa
This is a "finishing" tactic modification of simp. It has two forms.
simpa [rules, ⋯] using ewill simplify the goal and the type ofeusingrules, then try to close the goal usinge.
Simplifying the type of e makes it more likely to match the goal
(which has also been simplified). This construction also tends to be
more robust under changes to the simp lemma set.
simpa [rules, ⋯]will simplify the goal and the type of a hypothesisthisif present in the context, then try to close the goal using theassumptiontactic.
- Tags:
- Defined in module:
- Init.Tactics
simpa!
This is a "finishing" tactic modification of simp. It has two forms.
simpa [rules, ⋯] using ewill simplify the goal and the type ofeusingrules, then try to close the goal usinge.
Simplifying the type of e makes it more likely to match the goal
(which has also been simplified). This construction also tends to be
more robust under changes to the simp lemma set.
simpa [rules, ⋯]will simplify the goal and the type of a hypothesisthisif present in the context, then try to close the goal using theassumptiontactic.
- Tags:
- Defined in module:
- Init.Tactics
simpa?
This is a "finishing" tactic modification of simp. It has two forms.
simpa [rules, ⋯] using ewill simplify the goal and the type ofeusingrules, then try to close the goal usinge.
Simplifying the type of e makes it more likely to match the goal
(which has also been simplified). This construction also tends to be
more robust under changes to the simp lemma set.
simpa [rules, ⋯]will simplify the goal and the type of a hypothesisthisif present in the context, then try to close the goal using theassumptiontactic.
- Tags:
- Defined in module:
- Init.Tactics
simpa?!
This is a "finishing" tactic modification of simp. It has two forms.
simpa [rules, ⋯] using ewill simplify the goal and the type ofeusingrules, then try to close the goal usinge.
Simplifying the type of e makes it more likely to match the goal
(which has also been simplified). This construction also tends to be
more robust under changes to the simp lemma set.
simpa [rules, ⋯]will simplify the goal and the type of a hypothesisthisif present in the context, then try to close the goal using theassumptiontactic.
- Tags:
- Defined in module:
- Init.Tactics
sizeOf_list_dec
This tactic, added to the decreasing_trivial toolbox, proves that
sizeOf a < sizeOf as when a ∈ as, which is useful for well founded recursions
over a nested inductive like inductive T | mk : List T → T.
- Tags:
- Defined in module:
- Init.Data.List.BasicAux
sleep
The tactic sleep ms sleeps for ms milliseconds and does nothing.
It is used for debugging purposes only.
- Tags:
- Defined in module:
- Init.Tactics
solve
Similar to first, but succeeds only if one the given tactics solves the current goal.
- Tags:
- Defined in module:
- Init.NotationExtra
solve_by_elim
solve_by_elim calls apply on the main goal to find an assumption whose head matches
and then repeatedly calls apply on the generated subgoals until no subgoals remain,
performing at most maxDepth (defaults to 6) recursive steps.
solve_by_elim discharges the current goal or fails.
solve_by_elim performs backtracking if subgoals can not be solved.
By default, the assumptions passed to apply are the local context, rfl, trivial,
congrFun and congrArg.
The assumptions can be modified with similar syntax as for simp:
solve_by_elim [h₁, h₂, ..., hᵣ]also applies the given expressions.solve_by_elim only [h₁, h₂, ..., hᵣ]does not include the local context,rfl,trivial,congrFun, orcongrArgunless they are explicitly included.solve_by_elim [-h₁, ... -hₙ]removes the given local hypotheses.solve_by_elim using [a₁, ...]uses all lemmas which have been labelled with the attributesaᵢ(these attributes must be created usingregister_label_attr).
solve_by_elim* tries to solve all goals together, using backtracking if a solution for one goal
makes other goals impossible.
(Adding or removing local hypotheses may not be well-behaved when starting with multiple goals.)
Optional arguments passed via a configuration argument as solve_by_elim (config := { ... })
maxDepth: number of attempts at discharging generated subgoalssymm: adds all hypotheses derived bysymm(defaults totrue).exfalso: allow callingexfalsoand trying again ifsolve_by_elimfails (defaults totrue).transparency: change the transparency mode when callingapply. Defaults to.default, but it is often useful to change to.reducible, so semireducible definitions will not be unfolded when trying to apply a lemma.
See also the doc-comment for Lean.Meta.Tactic.Backtrack.BacktrackConfig for the options
proc, suspend, and discharge which allow further customization of solve_by_elim.
Both apply_assumption and apply_rules are implemented via these hooks.
- Tags:
- Defined in module:
- Init.Tactics
sorry
The sorry tactic is a temporary placeholder for an incomplete tactic proof,
closing the main goal using exact sorry.
This is intended for stubbing-out incomplete parts of a proof while still having a syntactically correct proof skeleton.
Lean will give a warning whenever a proof uses sorry, so you aren't likely to miss it,
but you can double check if a theorem depends on sorry by looking for sorryAx in the output
of the #print axioms my_thm command, the axiom used by the implementation of sorry.
- Tags:
- Defined in module:
- Init.Tactics
specialize
The tactic specialize h a₁ ... aₙ works on local hypothesis h.
The premises of this hypothesis, either universal quantifications or
non-dependent implications, are instantiated by concrete terms coming
from arguments a₁ ... aₙ.
The tactic adds a new hypothesis with the same name h := h a₁ ... aₙ
and tries to clear the previous one.
- Tags:
- Defined in module:
- Init.Tactics
split
The split tactic is useful for breaking nested if-then-else and match expressions into separate cases.
For a match expression with n cases, the split tactic generates at most n subgoals.
For example, given n : Nat, and a target if n = 0 then Q else R, split will generate
one goal with hypothesis n = 0 and target Q, and a second goal with hypothesis
¬n = 0 and target R. Note that the introduced hypothesis is unnamed, and is commonly
renamed using the case or next tactics.
- Tags:
- Defined in module:
- Init.Tactics
stop
stop is a helper tactic for "discarding" the rest of a proof:
it is defined as repeat sorry.
It is useful when working on the middle of a complex proofs,
and less messy than commenting the remainder of the proof.
- Tags:
- Defined in module:
- Init.Tactics
subst
subst x... substitutes each hypothesis x with a definition found in the local context,
then eliminates the hypothesis.
- If
xis a local definition, then its definition is used. - Otherwise, if there is a hypothesis of the form
x = eore = x, theneis used for the definition ofx.
If h : a = b, then subst h may be used if either a or b unfolds to a local hypothesis.
This is similar to the cases h tactic.
See also: subst_vars for substituting all local hypotheses that have a defining equation.
- Tags:
- Defined in module:
- Init.Tactics
subst_eqs
subst_eq repeatedly substitutes according to the equality proof hypotheses in the context,
replacing the left side of the equality with the right, until no more progress can be made.
- Tags:
- Defined in module:
- Init.Tactics
subst_vars
Applies subst to all hypotheses of the form h : x = t or h : t = x.
- Tags:
- Defined in module:
- Init.Tactics
suffices
Given a main goal ctx ⊢ t, suffices h : t' from e replaces the main goal with ctx ⊢ t',
e must have type t in the context ctx, h : t'.
The variant suffices h : t' by tac is a shorthand for suffices h : t' from by tac.
If h : is omitted, the name this is used.
- Tags:
- Defined in module:
- Init.Tactics
suggestions
#suggestions will suggest relevant theorems from the library for the current goal,
using the currently registered library suggestion engine.
The suggestions are printed in the order of their confidence, from highest to lowest.
- Tags:
- Defined in module:
- Init.Tactics
symm
symmapplies to a goal whose target has the formt ~ uwhere~is a symmetric relation, that is, a relation which has a symmetry lemma tagged with the attribute [symm]. It replaces the target withu ~ t.symm at hwill rewrite a hypothesish : t ~ utoh : u ~ t.
- Tags:
- Defined in module:
- Init.Tactics
symm_saturate
For every hypothesis h : a ~ b where a @[symm] lemma is available,
add a hypothesis h_symm : b ~ a.
- Tags:
- Defined in module:
- Init.Tactics
trace_state
trace_state displays the current state in the info view.
- Tags:
- Defined in module:
- Init.Tactics
trivial
trivial tries different simple tactics (e.g., rfl, contradiction, ...)
to close the current goal.
You can use the command macro_rules to extend the set of tactics used. Example:
macro_rules | `(tactic| trivial) => `(tactic| simp)
- Tags:
- Defined in module:
- Init.Tactics
try_suggestions
Helper internal tactic used to implement evalSuggest in try?
- Tags:
- Defined in module:
- Init.Try
unfold
unfold idunfolds all occurrences of definitionidin the target.unfold id1 id2 ...is equivalent tounfold id1; unfold id2; ....unfold id at hunfolds at the hypothesish.
Definitions can be either global or local definitions.
For non-recursive global definitions, this tactic is identical to delta.
For recursive global definitions, it uses the "unfolding lemma" id.eq_def,
which is generated for each recursive definition, to unfold according to the recursive definition given by the user.
Only one level of unfolding is performed, in contrast to simp only [id], which unfolds definition id recursively.
- Tags:
- Defined in module:
- Init.Tactics
unhygienic
unhygienic tacs runs tacs with name hygiene disabled.
This means that tactics that would normally create inaccessible names will instead
make regular variables. Warning: Tactics may change their variable naming
strategies at any time, so code that depends on autogenerated names is brittle.
Users should try not to use unhygienic if possible.
example : ∀ x : Nat, x = x := by unhygienic
intro -- x would normally be intro'd as inaccessible
exact Eq.refl x -- refer to x
- Tags:
- Defined in module:
- Init.Tactics
wait_for_unblock_async
Spawns a logSnapshotTask that waits for unblock to be called, which is expected to happen in a
subsequent document version that does not invalidate this tactic. Complains if cancellation token
was set before unblocking, i.e. if the tactic was invalidated after all.
- Tags:
- Defined in module:
- Lean.Server.Test.Cancel
with_reducible
with_reducible tacs executes tacs using the reducible transparency setting.
In this setting only definitions tagged as [reducible] are unfolded.
- Tags:
- Defined in module:
- Init.Tactics
with_reducible_and_instances
with_reducible_and_instances tacs executes tacs using the .instances transparency setting.
In this setting only definitions tagged as [reducible] or type class instances are unfolded.
- Tags:
- Defined in module:
- Init.Tactics
with_unfolding_all
with_unfolding_all tacs executes tacs using the .all transparency setting.
In this setting all definitions that are not opaque are unfolded.
- Tags:
- Defined in module:
- Init.Tactics
with_unfolding_none
with_unfolding_none tacs executes tacs using the .none transparency setting.
In this setting no definitions are unfolded.
- Tags:
- Defined in module:
- Init.Tactics