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Mathlib.Lean.Meta

Additional utilities in Lean.MVarId #

Add the hypothesis h : t, given v : t, and return the new FVarId.

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    Has the effect of refine ⟨e₁,e₂,⋯, ?_⟩.

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      Applies intro repeatedly until it fails. We use this instead of Lean.MVarId.intros to allowing unfolding. For example, if we want to do introductions for propositions like ¬p, the ¬ needs to be unfolded into False, and intros does not do such unfolding.

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        Try to convert an Iff into an Eq by applying iff_of_eq. If successful, returns the new goal, and otherwise returns the original MVarId.

        This may be regarded as being a special case of Lean.MVarId.liftReflToEq, specifically for Iff.

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          Try to convert an Eq into an Iff by applying propext. If successful, then returns then new goal, otherwise returns the original MVarId.

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            Try to close the goal with using proof_irrel_heq. Returns whether or not it succeeds.

            We need to be somewhat careful not to assign metavariables while doing this, otherwise we might specialize Sort _ to Prop.

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              Try to close the goal using Subsingleton.elim. Returns whether or not it succeeds.

              We are careful to apply Subsingleton.elim in a way that does not assign any metavariables. This is to prevent the Subsingleton Prop instance from being used as justification to specialize Sort _ to Prop.

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                Count how many local hypotheses appear in an expression.

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                  Given a monadic function F that takes a type and a term of that type and produces a new term, lifts this to the monadic function that opens a telescope, applies F to the body, and then builds the lambda telescope term for the new term.

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                    Given a monadic function F that takes a term and produces a new term, lifts this to the monadic function that opens a telescope, applies F to the body, and then builds the lambda telescope term for the new term.

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                      Get the type the given metavariable after instantiating metavariables and cleaning up annotations.

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                        Analogue of liftMetaTactic for tactics that return a single goal.

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                          Copy of Lean.Elab.Tactic.run that can return a value.

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