/-- An independence predicate satisfying the finite matroid axioms determines a matroid,
  provided independence is determined by its behaviour on finite sets.
  This fundamentally needs choice, since it can be used to prove that every vector space
  has a basis. -/
@[simps E] protected def ofFinitary (E : Set α) (Indep : Set α → Prop)
    (indep_empty : Indep ∅)
    (indep_subset : ∀ ⦃I J⦄, Indep J → I ⊆ J → Indep I)
    (indep_aug : ∀ ⦃I J⦄, Indep I → I.Finite → Indep J → J.Finite → I.ncard < J.ncard →
      ∃ e ∈ J, e ∉ I ∧ Indep (insert e I))
    (indep_compact : ∀ I, (∀ J, J ⊆ I → J.Finite → Indep J) → Indep I)
    (subset_ground : ∀ I, Indep I → I ⊆ E) : IndepMatroid α :=
  have htofin : ∀ I e, Indep I → ¬ Indep (insert e I) →
    ∃ I₀, I₀ ⊆ I ∧ I₀.Finite ∧ ¬ Indep (insert e I₀) := by
      by_contra h; push_neg at h
      obtain ⟨I, e, -, hIe, h⟩ := h
      refine hIe <| indep_compact _ fun J hJss hJfin ↦ ?_
      exact indep_subset (h (J \ {e}) (by rwa [diff_subset_iff]) (hJfin.diff _)) (by simp)
  IndepMatroid.mk
  (E := E)
  (Indep := Indep)
  (indep_empty := indep_empty)
  (indep_subset := indep_subset)
  (indep_aug := by
    intro I B hI hImax hBmax
    simp only [mem_maximals_iff, mem_setOf_eq, not_and, not_forall, exists_prop,
      exists_and_left, iff_true_intro hI, true_imp_iff] at hImax hBmax
    obtain ⟨I', hI', hII', hne⟩ := hImax
    obtain ⟨e, heI', heI⟩ := exists_of_ssubset (hII'.ssubset_of_ne hne)
    have hins : Indep (insert e I) := indep_subset hI' (insert_subset heI' hII')
    obtain (heB | heB) := em (e ∈ B)
    · exact ⟨e, ⟨heB, heI⟩, hins⟩
    by_contra hcon; push_neg at hcon

    have heBdep : ¬Indep (insert e B) :=
      fun hi ↦ heB <| insert_eq_self.1 (hBmax.2 hi (subset_insert _ _)).symm

    -- There is a finite subset `B₀` of `B` so that `B₀ + e` is dependent
    obtain ⟨B₀, hB₀B, hB₀fin, hB₀e⟩ := htofin B e hBmax.1  heBdep
    have hB₀ := indep_subset hBmax.1 hB₀B

    -- There is a finite subset `I₀` of `I` so that `I₀` doesn't extend into `B₀`
    have hexI₀ : ∃ I₀, I₀ ⊆ I ∧ I₀.Finite ∧ ∀ x, x ∈ B₀ \ I₀ → ¬Indep (insert x I₀)
    · have hchoose : ∀ (b : ↑(B₀ \ I)), ∃ Ib, Ib ⊆ I ∧ Ib.Finite ∧ ¬Indep (insert (b : α) Ib)
      · rintro ⟨b, hb⟩; exact htofin I b hI (hcon b ⟨hB₀B hb.1, hb.2⟩)
      choose! f hf using hchoose
      have _ := finite_coe_iff.2 (hB₀fin.diff I)
      refine ⟨iUnion f ∪ (B₀ ∩ I),
        union_subset (iUnion_subset (fun i ↦ (hf i).1)) (inter_subset_right _ _),
        (finite_iUnion <| fun i ↦ (hf i).2.1).union (hB₀fin.subset (inter_subset_left _ _)),
        fun x ⟨hxB₀, hxn⟩ hi ↦ ?_⟩
      have hxI : x ∉ I := fun hxI ↦ hxn <| Or.inr ⟨hxB₀, hxI⟩
      refine (hf ⟨x, ⟨hxB₀, hxI⟩⟩).2.2 (indep_subset hi <| insert_subset_insert ?_)
      apply subset_union_of_subset_left
      apply subset_iUnion

    obtain ⟨I₀, hI₀I, hI₀fin, hI₀⟩ := hexI₀

    set E₀ := insert e (I₀ ∪ B₀)
    have hE₀fin : E₀.Finite := (hI₀fin.union hB₀fin).insert e

    -- Extend `B₀` to a maximal independent subset of `I₀ ∪ B₀ + e`
    obtain ⟨J, ⟨hB₀J, hJ, hJss⟩, hJmax⟩ := Finite.exists_maximal_wrt (f := id)
      (s := {J | B₀ ⊆ J ∧ Indep J ∧ J ⊆ E₀})
      (hE₀fin.finite_subsets.subset (by simp))
      ⟨B₀, Subset.rfl, hB₀, (subset_union_right _ _).trans (subset_insert _ _)⟩

    have heI₀ : e ∉ I₀ := not_mem_subset hI₀I heI
    have heI₀i : Indep (insert e I₀) := indep_subset hins (insert_subset_insert hI₀I)

    have heJ : e ∉ J := fun heJ ↦ hB₀e (indep_subset hJ <| insert_subset heJ hB₀J)

    have hJfin := hE₀fin.subset hJss

    -- We have `|I₀ + e| ≤ |J|`, since otherwise we could extend the maximal set `J`
    have hcard : (insert e I₀).ncard ≤ J.ncard
    · refine not_lt.1 fun hlt ↦ ?_
      obtain ⟨f, hfI, hfJ, hfi⟩ := indep_aug hJ hJfin heI₀i (hI₀fin.insert e) hlt
      have hfE₀ : f ∈ E₀ := mem_of_mem_of_subset hfI (insert_subset_insert (subset_union_left _ _))
      refine hfJ (insert_eq_self.1 <| Eq.symm (hJmax _
        ⟨hB₀J.trans <| subset_insert _ _,hfi,insert_subset hfE₀ hJss⟩ (subset_insert _ _)))

    -- But this means `|I₀| < |J|`, and extending `I₀` into `J` gives a contradiction
    rw [ncard_insert_of_not_mem heI₀ hI₀fin, ← Nat.lt_iff_add_one_le] at hcard

    obtain ⟨f, hfJ, hfI₀, hfi⟩ := indep_aug (indep_subset hI hI₀I) hI₀fin hJ hJfin hcard
    exact hI₀ f ⟨Or.elim (hJss hfJ) (fun hfe ↦ (heJ <| hfe ▸ hfJ).elim) (by aesop), hfI₀⟩ hfi )
  (indep_maximal := by
      rintro X - I hI hIX
      have hzorn := zorn_subset_nonempty {Y | Indep Y ∧ I ⊆ Y ∧ Y ⊆ X} ?_ I ⟨hI, Subset.rfl, hIX⟩
      · obtain ⟨J, hJ, -, hJmax⟩ := hzorn
        exact ⟨J, hJ, fun K hK hJK ↦ (hJmax K hK hJK).subset⟩

      refine fun Is hIs hchain ⟨K, hK⟩ ↦ ⟨⋃₀ Is, ⟨?_,?_,?_⟩, fun _ ↦ subset_sUnion_of_mem ⟩
      · refine indep_compact _ fun J hJ hJfin ↦ ?_
        have hchoose : ∀ e, e ∈ J → ∃ I, I ∈ Is ∧ (e : α) ∈ I
        · exact fun _ he ↦ mem_sUnion.1 <| hJ he
        choose! f hf using hchoose
        refine J.eq_empty_or_nonempty.elim (fun hJ ↦ hJ ▸ indep_empty) (fun hne ↦ ?_)
        obtain ⟨x, hxJ, hxmax⟩ := Finite.exists_maximal_wrt f _ hJfin hne
        refine indep_subset (hIs (hf x hxJ).1).1 fun y hyJ ↦ ?_
        obtain (hle | hle) := hchain.total (hf _ hxJ).1 (hf _ hyJ).1
        · rw [hxmax _ hyJ hle]; exact (hf _ hyJ).2
        

Proof state:
case refine_1.refine_1.intro.intro.inr
α : Type u_1
I✝ B X✝ E : Set α
Indep : Set α → Prop
indep_empty : Indep ∅
indep_subset : ∀ ⦃I J : Set α⦄, Indep J → I ⊆ J → Indep I
indep_aug :
  ∀ ⦃I J : Set α⦄,
    Indep I → Set.Finite I → Indep J → Set.Finite J → ncard I < ncard J → ∃ e ∈ J, e ∉ I ∧ Indep (insert e I)
indep_compact : ∀ (I : Set α), (∀ J ⊆ I, Set.Finite J → Indep J) → Indep I
subset_ground : ∀ (I : Set α), Indep I → I ⊆ E
htofin : ∀ (I : Set α) (e : α), Indep I → ¬Indep (insert e I) → ∃ I₀ ⊆ I, Set.Finite I₀ ∧ ¬Indep (insert e I₀)
X I : Set α
hI : Indep I
hIX : I ⊆ X
Is : Set (Set α)
hIs : Is ⊆ {Y | Indep Y ∧ I ⊆ Y ∧ Y ⊆ X}
hchain : IsChain (fun x x_1 => x ⊆ x_1) Is
x✝ : Set.Nonempty Is
K : Set α
hK : K ∈ Is
J : Set α
hJ : J ⊆ ⋃₀ Is
hJfin : Set.Finite J
f : α → Set α
hf : ∀ e ∈ J, f e ∈ Is ∧ e ∈ f e
hne : Set.Nonempty J
x : α
hxJ : x ∈ J
hxmax : ∀ a' ∈ J, f x ≤ f a' → f x = f a'
y : α
hyJ : y ∈ J
hle : f y ⊆ f x
⊢ y ∈ f x

Next tactic:
exact hle (hf _ hyJ).2