theorem completeSpace_extension {m : β → α} (hm : UniformInducing m) (dense : DenseRange m)
    (h : ∀ f : Filter β, Cauchy f → ∃ x : α, map m f ≤ 𝓝 x) : CompleteSpace α :=
  ⟨fun {f : Filter α} (hf : Cauchy f) =>
    let p : Set (α × α) → Set α → Set α := fun s t => { y : α | ∃ x : α, x ∈ t ∧ (x, y) ∈ s }
    let g := (𝓤 α).lift fun s => f.lift' (p s)
    have mp₀ : Monotone p := fun a b h t s ⟨x, xs, xa⟩ => ⟨x, xs, h xa⟩
    have mp₁ : ∀ {s}, Monotone (p s) := fun h x ⟨y, ya, yxs⟩ => ⟨y, h ya, yxs⟩
    have : f ≤ g := le_iInf₂ fun s hs => le_iInf₂ fun t ht =>
      le_principal_iff.mpr <| mem_of_superset ht fun x hx => ⟨x, hx, refl_mem_uniformity hs⟩
    have : NeBot g := hf.left.mono this
    have : NeBot (comap m g) :=
      comap_neBot fun t ht =>
        let ⟨t', ht', ht_mem⟩ := (mem_lift_sets <| monotone_lift' monotone_const mp₀).mp ht
        let ⟨t'', ht'', ht'_sub⟩ := (mem_lift'_sets mp₁).mp ht_mem
        let ⟨x, (hx : x ∈ t'')⟩ := hf.left.nonempty_of_mem ht''
        have h₀ : NeBot (𝓝[range m] x) := dense.nhdsWithin_neBot x
        have h₁ : { y | (x, y) ∈ t' } ∈ 𝓝[range m] x :=
          @mem_inf_of_left α (𝓝 x) (𝓟 (range m)) _ <| mem_nhds_left x ht'
        have h₂ : range m ∈ 𝓝[range m] x :=
          @mem_inf_of_right α (𝓝 x) (𝓟 (range m)) _ <| Subset.refl _
        have : { y | (x, y) ∈ t' } ∩ range m ∈ 𝓝[range m] x := @inter_mem α (𝓝[range m] x) _ _ h₁ h₂
        let ⟨y, xyt', b, b_eq⟩ := h₀.nonempty_of_mem this
        ⟨b, b_eq.symm ▸ ht'_sub ⟨x, hx, xyt'⟩⟩
    have : Cauchy g :=
      ⟨‹NeBot g›, fun s hs =>
        let ⟨s₁, hs₁, (comp_s₁ : compRel s₁ s₁ ⊆ s)⟩ := comp_mem_uniformity_sets hs
        let ⟨s₂, hs₂, (comp_s₂ : compRel s₂ s₂ ⊆ s₁)⟩ := comp_mem_uniformity_sets hs₁
        let ⟨t, ht, (prod_t : t ×ˢ t ⊆ s₂)⟩ := mem_prod_same_iff.mp (hf.right hs₂)
        have hg₁ : p (preimage Prod.swap s₁) t ∈ g :=
          mem_lift (symm_le_uniformity hs₁) <| @mem_lift' α α f _ t ht
        have hg₂ : p s₂ t ∈ g := mem_lift hs₂ <| @mem_lift' α α f _ t ht
        have hg : p (Prod.swap ⁻¹' s₁) t ×ˢ p s₂ t ∈ g ×ˢ g := @prod_mem_prod α α _ _ g g hg₁ hg₂
        (g ×ˢ g).sets_of_superset hg fun ⟨a, b⟩ ⟨⟨c₁, c₁t, hc₁⟩, ⟨c₂, c₂t, hc₂⟩⟩ =>
          have : (c₁, c₂) ∈ t ×ˢ t := ⟨c₁t, c₂t⟩
          comp_s₁ <| prod_mk_mem_compRel hc₁ <| comp_s₂ <| prod_mk_mem_compRel (prod_t this) hc₂⟩
    have : Cauchy (Filter.comap m g) := ‹Cauchy g›.comap' (le_of_eq hm.comap_uniformity) ‹_›
    let ⟨x, (hx : map m (Filter.comap m g) ≤ 𝓝 x)⟩ := h _ this
    have : ClusterPt x (map m (Filter.comap m g)) :=
      (le_nhds_iff_adhp_of_cauchy (this.map hm.uniformContinuous)).mp hx
    have : ClusterPt x g := this.mono map_comap_le
    ⟨x,
      calc
        f ≤ g := by 

Proof state:
α : Type u
β : Type v
γ : Type w
inst✝² : UniformSpace α
inst✝¹ : UniformSpace β
inst✝ : UniformSpace γ
m : β → α
hm : UniformInducing m
dense : DenseRange m
h : ∀ (f : Filter β), Cauchy f → ∃ x, map m f ≤ 𝓝 x
f : Filter α
hf : Cauchy f
p : Set (α × α) → Set α → Set α := fun s t => {y | ∃ x ∈ t, (x, y) ∈ s}
g : Filter α := Filter.lift (𝓤 α) fun s => Filter.lift' f (p s)
mp₀ : Monotone p
mp₁ : ∀ {s : Set (α × α)}, Monotone (p s)
this✝⁵ : f ≤ g
this✝⁴ : NeBot g
this✝³ : NeBot (comap m g)
this✝² : Cauchy g
this✝¹ : Cauchy (comap m g)
x : α
hx : map m (comap m g) ≤ 𝓝 x
this✝ : ClusterPt x (map m (comap m g))
this : ClusterPt x g
⊢ f ≤ g

Next tactic:
assumption