import OAI.Combinatorics.CycleDecomposition.ReservoirSampling

namespace OAI

universe cycleUniverse1 cycleUniverse2 cycleUniverse3 cycleUniverse4 cycleUniverse5 cycleUniverse6 cycleUniverse7 cycleUniverse8

section
open Filter Asymptotics Real
open scoped Topology
noncomputable section
open MeasureTheory ProbabilityTheory Finset
noncomputable section
namespace ErdosGallai.Splitting
open MeasureTheory ProbabilityTheory Finset Real

section BernoulliBounds
variable {Ω : Type cycleUniverse1} {I : Type cycleUniverse2} [MeasurableSpace Ω] {μ : Measure Ω} [IsProbabilityMeasure μ]

lemma indicator_mem_Icc {Ω : Type cycleUniverse3} [_contextInstance1 : MeasurableSpace Ω] {X : Ω → ℝ} (hX : ∀ ω, X ω = 0 ∨ X ω = 1) (ω : Ω) :
    X ω ∈ Set.Icc (0 : ℝ) 1 := by rcases hX ω with h | h <;> simp [h]

lemma mgf_indicator {X : Ω → ℝ} (hm : Measurable X)
    (hX : ∀ ω, X ω = 0 ∨ X ω = 1) (p t : ℝ) (hp : ∫ ω, X ω ∂μ = p) :
    mgf X μ t = 1 + p * (exp t - 1) := by
  have hXi : Integrable X μ := Integrable.of_mem_Icc 0 1 hm.aemeasurable
    (ae_of_all _ (indicator_mem_Icc hX))
  have heq : (fun ω => exp (t * X ω)) = fun ω => (1 : ℝ) + (exp t - 1) * X ω := by
    funext ω
    rcases hX ω with h | h <;> simp [h]
  rw [mgf, heq, integral_add (integrable_const _) (hXi.const_mul _), integral_const_mul,
    hp, integral_const]
  simp [mul_comm]

lemma mgf_indicator_sum_bound {X : I → Ω → ℝ} (s : Finset I)
    (hm : ∀ i, Measurable (X i)) (hi : iIndepFun X μ)
    (hX : ∀ i ω, X i ω = 0 ∨ X i ω = 1)
    (p t : ℝ) (hp : ∀ i, ∫ ω, X i ω ∂μ = p) :
    mgf (∑ i ∈ s, X i) μ t ≤ exp ((s.card : ℝ) * p * (exp t - 1)) := by
  by_cases hs : s.Nonempty
  swap
  · have he := Finset.not_nonempty_iff_eq_empty.mp hs
    simp [he]
  rw [hi.mgf_sum hm]
  have heq : (∏ i ∈ s, mgf (X i) μ t) = (1 + p * (exp t - 1)) ^ s.card := by
    simp_rw [mgf_indicator (hm _) (hX _) p t (hp _)]
    simp
  rw [heq]
  have hn : 0 ≤ 1 + p * (exp t - 1) := by
    obtain ⟨i, _⟩ := hs
    rw [← mgf_indicator (hm i) (hX i) p t (hp i)]
    exact mgf_nonneg
  calc
    (1 + p * (exp t - 1)) ^ s.card ≤ exp (p * (exp t - 1)) ^ s.card :=
      pow_le_pow_left₀ hn (by linarith [add_one_le_exp (p * (exp t - 1))]) _
    _ = _ := by rw [← exp_nat_mul]; congr 1; ring

lemma exp_neg_half_bound : exp (-(1 / 2 : ℝ)) ≤ 5 / 8 := by
  have he : exp (1 / 2 : ℝ) * exp (1 / 2 : ℝ) = exp 1 := by
    rw [← exp_add]; norm_num
  have hlow : (8 / 5 : ℝ) ≤ exp (1 / 2 : ℝ) := by
    nlinarith [exp_one_gt_d9, exp_pos (1 / 2 : ℝ)]
  rw [exp_neg]
  exact (inv_le_comm₀ (exp_pos _) (by norm_num)).mpr (by norm_num at *; exact hlow)

lemma exp_half_bound : exp (1 / 2 : ℝ) ≤ 5 / 3 := by
  have he : exp (1 / 2 : ℝ) * exp (1 / 2 : ℝ) = exp 1 := by
    rw [← exp_add]; norm_num
  nlinarith [exp_one_lt_d9, exp_pos (1 / 2 : ℝ)]

theorem bernoulli_sum_lower_tail {X : I → Ω → ℝ} (s : Finset I)
    (hm : ∀ i, Measurable (X i)) (hi : iIndepFun X μ)
    (hX : ∀ i ω, X i ω = 0 ∨ X i ω = 1)
    (p : ℝ) (hp0 : 0 ≤ p) (hp : ∀ i, ∫ ω, X i ω ∂μ = p) :
    μ.real {ω | (∑ i ∈ s, X i ω) ≤ p * s.card / 2} ≤ exp (-p * s.card / 8) := by
  have hInt : Integrable (fun ω => exp (-(1 / 2 : ℝ) * (∑ i ∈ s, X i) ω)) μ :=
    hi.integrable_exp_mul_sum hm (fun i _ => integrable_exp_mul_of_mem_Icc
      (hm i).aemeasurable (ae_of_all _ (indicator_mem_Icc (hX i))))
  have hb := measure_le_le_exp_mul_mgf (X := ∑ i ∈ s, X i) (p * s.card / 2)
    (by norm_num : -(1 / 2 : ℝ) ≤ 0) hInt
  simp only [Finset.sum_apply] at hb
  apply hb.trans
  calc
    _ ≤ exp (-(-(1 / 2 : ℝ)) * (p * s.card / 2)) *
        exp ((s.card : ℝ) * p * (exp (-(1 / 2 : ℝ)) - 1)) := by
      exact mul_le_mul_of_nonneg_left (mgf_indicator_sum_bound s hm hi hX p _ hp) (exp_pos _).le
    _ = exp (p * s.card / 4 + (s.card : ℝ) * p * (exp (-(1 / 2 : ℝ)) - 1)) := by
      rw [← exp_add]; congr 1; ring
    _ ≤ _ := by
      apply exp_le_exp.mpr
      nlinarith [mul_le_mul_of_nonneg_left exp_neg_half_bound
        (mul_nonneg (Nat.cast_nonneg s.card) hp0)]

theorem bernoulli_sum_upper_tail {X : I → Ω → ℝ} (s : Finset I)
    (hm : ∀ i, Measurable (X i)) (hi : iIndepFun X μ)
    (hX : ∀ i ω, X i ω = 0 ∨ X i ω = 1)
    (p : ℝ) (hp0 : 0 ≤ p) (hp : ∀ i, ∫ ω, X i ω ∂μ = p) :
    μ.real {ω | 2 * p * s.card ≤ ∑ i ∈ s, X i ω} ≤ exp (-p * s.card / 3) := by
  have hInt : Integrable (fun ω => exp ((1 / 2 : ℝ) * (∑ i ∈ s, X i) ω)) μ :=
    hi.integrable_exp_mul_sum hm (fun i _ => integrable_exp_mul_of_mem_Icc
      (hm i).aemeasurable (ae_of_all _ (indicator_mem_Icc (hX i))))
  have hb := measure_ge_le_exp_mul_mgf (X := ∑ i ∈ s, X i) (2 * p * s.card)
    (by norm_num : (0 : ℝ) ≤ 1 / 2) hInt
  simp only [Finset.sum_apply] at hb
  apply hb.trans
  calc
    _ ≤ exp (-(1 / 2 : ℝ) * (2 * p * s.card)) *
        exp ((s.card : ℝ) * p * (exp (1 / 2 : ℝ) - 1)) := by
      exact mul_le_mul_of_nonneg_left (mgf_indicator_sum_bound s hm hi hX p _ hp) (exp_pos _).le
    _ = exp (-p * s.card + (s.card : ℝ) * p * (exp (1 / 2 : ℝ) - 1)) := by
      rw [← exp_add]; congr 1; ring
    _ ≤ _ := by
      apply exp_le_exp.mpr
      nlinarith [mul_le_mul_of_nonneg_left exp_half_bound
        (mul_nonneg (Nat.cast_nonneg s.card) hp0)]

end BernoulliBounds

noncomputable section
variable {V : Type cycleUniverse4} [Fintype V] [DecidableEq V]

def CutExpansion (P : SimpleGraph V) [DecidableRel P.Adj] (h : ℝ) : Prop :=
  ∀ U : Finset V, h * min (U.card : ℝ) (Uᶜ.card : ℝ) ≤
    ((P.interedges U Uᶜ).card : ℝ)

lemma boundary_sym2_injective (P : SimpleGraph V) [DecidableRel P.Adj]
    (U : Finset V) :
    Set.InjOn (fun e : V × V => s(e.1, e.2)) (P.interedges U Uᶜ : Set (V × V)) := by
  intro e he f hf hef
  rcases (Sym2.mk_eq_mk_iff.mp hef) with h | h
  · exact h
  · have he1 := (P.mem_interedges_iff.mp he).1
    have hf2 := (P.mem_interedges_iff.mp hf).2.1
    have hfirst : e.1 = f.2 := congrArg Prod.fst h
    exact False.elim ((Finset.mem_compl.mp hf2) (hfirst ▸ he1))

def edgeColorMeasure (V : Type cycleUniverse5) [Fintype V] (l : ℕ) [NeZero l] :
    Measure (Sym2 V → Fin l) :=
  Measure.pi (fun _ : Sym2 V => (PMF.uniformOfFintype (Fin l)).toMeasure)

instance edgeColorMeasure_probability (l : ℕ) [NeZero l] :
    IsProbabilityMeasure (edgeColorMeasure V l) := by
  unfold edgeColorMeasure
  infer_instance

def colorIndicator {l : ℕ} (i : Fin l) (e : Sym2 V) (ω : Sym2 V → Fin l) : ℝ :=
  if ω e = i then 1 else 0

lemma colorIndicator_indep {V : Type cycleUniverse6} [_contextInstance1 : Fintype V] [_contextInstance2 : DecidableEq V] {l : ℕ} [NeZero l] (i : Fin l) :
    iIndepFun (colorIndicator (V := V) i) (edgeColorMeasure V l) := by
  exact iIndepFun_pi (X := fun _ : Sym2 V => fun j : Fin l => if j = i then (1 : ℝ) else 0)
    (fun _ => (measurable_of_finite _).aemeasurable)

lemma colorIndicator_integral {V : Type cycleUniverse7} [_contextInstance1 : Fintype V] [_contextInstance2 : DecidableEq V] {l : ℕ} [NeZero l] (i : Fin l) (e : Sym2 V) :
    ∫ ω, colorIndicator i e ω ∂edgeColorMeasure V l = 1/(l : ℝ) := by
  have hl := (measurePreserving_eval
    (fun _ : Sym2 V => (PMF.uniformOfFintype (Fin l)).toMeasure) e).hasLaw
  have hi := hl.integral_comp (f := fun j : Fin l => if j = i then (1 : ℝ) else 0)
    (measurable_of_finite _).aestronglyMeasurable
  rw [PMF.integral_eq_sum] at hi
  simpa [edgeColorMeasure, colorIndicator, PMF.uniformOfFintype_apply] using hi

def colorGraph (P : SimpleGraph V) {l : ℕ} (ω : Sym2 V → Fin l) (i : Fin l) :
    SimpleGraph V where
  Adj x y := P.Adj x y ∧ ω s(x,y) = i
  symm := ⟨by intro x y h; exact ⟨h.1.symm, by simpa only [Sym2.eq_swap] using h.2⟩⟩
  loopless := ⟨by intro x h; exact P.irrefl h.1⟩

instance colorGraph_decidable (P : SimpleGraph V) [DecidableRel P.Adj]
    {l : ℕ} (ω : Sym2 V → Fin l) (i : Fin l) :
    DecidableRel (colorGraph P ω i).Adj := fun _ _ => inferInstanceAs (Decidable (_ ∧ _))

lemma colorGraph_interedges {V : Type cycleUniverse8} [_contextInstance1 : Fintype V] [_contextInstance2 : DecidableEq V] (P : SimpleGraph V) [DecidableRel P.Adj]
    {l : ℕ} (ω : Sym2 V → Fin l) (i : Fin l) (S T : Finset V) :
    (colorGraph P ω i).interedges S T =
      (P.interedges S T).filter (fun e => ω s(e.1,e.2) = i) := by
  ext ⟨x,y⟩
  simp only [SimpleGraph.mem_interedges_iff, Finset.mem_filter]
  change (x ∈ S ∧ y ∈ T ∧ (P.Adj x y ∧ ω s(x,y) = i)) ↔ _
  tauto

lemma color_cut_sum (P : SimpleGraph V) [DecidableRel P.Adj]
    {l : ℕ} (ω : Sym2 V → Fin l) (i : Fin l) (S : Finset V) :
    (∑ e ∈ (P.interedges S Sᶜ).image (fun e => s(e.1,e.2)), colorIndicator i e ω) =
      (((colorGraph P ω i).interedges S Sᶜ).card : ℝ) := by
  rw [Finset.sum_image (boundary_sym2_injective P S)]
  simp only [colorIndicator, Finset.sum_boole, colorGraph_interedges]

lemma color_cut_lower_tail (P : SimpleGraph V) [DecidableRel P.Adj]
    {l : ℕ} [NeZero l] (i : Fin l) (S : Finset V) {h : ℝ}
    (hexp : CutExpansion P h) (hS : S.card ≤ Sᶜ.card) :
    (edgeColorMeasure V l).real {ω |
      (((colorGraph P ω i).interedges S Sᶜ).card : ℝ) < h*S.card/(2*l)} ≤
        exp (-h*S.card/(8*l)) := by
  let E := (P.interedges S Sᶜ).image (fun e => s(e.1,e.2))
  have hcard : E.card = (P.interedges S Sᶜ).card :=
    Finset.card_image_of_injOn (boundary_sym2_injective P S)
  have hl : 0 < (l : ℝ) := by exact_mod_cast Nat.pos_of_ne_zero (NeZero.ne l)
  have hcut : h * S.card ≤ (E.card : ℝ) := by
    rw [hcard]
    have he := hexp S
    rwa [min_eq_left (by exact_mod_cast hS)] at he
  have hb := bernoulli_sum_lower_tail (μ := edgeColorMeasure V l) E
    (fun e => measurable_of_finite (colorIndicator i e)) (colorIndicator_indep i)
    (fun e ω => by simp only [colorIndicator]; split <;> simp)
    (1/(l : ℝ)) (by positivity) (colorIndicator_integral i)
  apply (measureReal_mono (show {ω |
      (((colorGraph P ω i).interedges S Sᶜ).card : ℝ) < h*S.card/(2*l)} ⊆
      {ω | (∑ e ∈ E, colorIndicator i e ω) ≤ (1/(l : ℝ))*E.card/2} from ?_)).trans
      (hb.trans ?_)
  · intro ω hω
    change (∑ e ∈ E, colorIndicator i e ω) ≤ (1/(l : ℝ))*E.card/2
    rw [show (∑ e ∈ E, colorIndicator i e ω) =
      (((colorGraph P ω i).interedges S Sᶜ).card : ℝ) from color_cut_sum P ω i S]
    calc
      _ ≤ h*S.card/(2*l) := le_of_lt hω
      _ ≤ (E.card : ℝ)/(2*l) := div_le_div_of_nonneg_right hcut (by positivity)
      _ = _ := by ring
  · apply exp_le_exp.mpr
    have he := div_le_div_of_nonneg_right hcut (show 0 ≤ 8*(l : ℝ) by positivity)
    calc
      _ = -((E.card : ℝ)/(8*l)) := by ring
      _ ≤ -(h*S.card/(8*l)) := neg_le_neg he
      _ = _ := by ring

lemma cutExpansion_of_small_cuts (P : SimpleGraph V) [DecidableRel P.Adj] {h : ℝ}
    (hcut : ∀ S : Finset V, S.Nonempty → S.card ≤ Sᶜ.card →
      h*S.card ≤ ((P.interedges S Sᶜ).card : ℝ)) : CutExpansion P h := by
  intro S
  by_cases he : S = ∅
  · simp [he]
  by_cases hc : Sᶜ = ∅
  · simp [hc]
  by_cases hs : S.card ≤ Sᶜ.card
  · rw [min_eq_left (by exact_mod_cast hs)]
    exact hcut S (Finset.nonempty_iff_ne_empty.mpr he) hs
  · rw [min_eq_right (by exact_mod_cast le_of_not_ge hs)]
    have hi := hcut Sᶜ (Finset.nonempty_iff_ne_empty.mpr hc) (by simpa using le_of_not_ge hs)
    have hcomm : (P.interedges Sᶜ S).card = (P.interedges S Sᶜ).card := by
      have := P.symm
      exact Rel.card_interedges_comm Sᶜ S
    simpa only [compl_compl, hcomm] using hi

lemma sum_nonempty_subsets_power (q : ℝ) :
    (∑ S ∈ (Finset.univ : Finset (Finset V)).erase ∅, q^S.card) =
      (1+q)^(Fintype.card V)-1 := by
  have hs := Finset.sum_erase_add (s := Finset.univ) (fun S : Finset V => q^S.card)
    (Finset.mem_univ (∅ : Finset V))
  have hp := Finset.prod_one_add (s := (Finset.univ : Finset V)) (f := fun _ => q)
  simp only [Finset.prod_const, Finset.card_univ, Finset.powerset_univ] at hp
  simp only [Finset.card_empty, pow_zero] at hs
  linarith

theorem edge_splitting_failure_bound (P : SimpleGraph V) [DecidableRel P.Adj]
    {l : ℕ} [NeZero l] {h : ℝ} (hexp : CutExpansion P h) :
    (edgeColorMeasure V l).real {ω | ∃ i, ¬CutExpansion (colorGraph P ω i) (h/(2*l))} ≤
      l * (exp ((Fintype.card V : ℝ)*exp (-h/(8*l)))-1) := by
  let cuts : Finset (Finset V) := Finset.univ.erase ∅
  let B (i : Fin l) (S : Finset V) : Set (Sym2 V → Fin l) :=
    {ω | S.card ≤ Sᶜ.card ∧
      (((colorGraph P ω i).interedges S Sᶜ).card : ℝ) < h*S.card/(2*l)}
  let q : ℝ := exp (-h/(8*l))
  have cover : {ω | ∃ i, ¬CutExpansion (colorGraph P ω i) (h/(2*l))} ⊆
      ⋃ i ∈ (Finset.univ : Finset (Fin l)), ⋃ S ∈ cuts, B i S := by
    intro ω hω
    rcases hω with ⟨i, hi⟩
    by_contra hn
    apply hi
    apply cutExpansion_of_small_cuts
    intro S hS hs
    have hb : ω ∉ B i S := by
      intro hm
      apply hn
      exact Set.mem_iUnion.mpr ⟨i, Set.mem_iUnion.mpr ⟨Finset.mem_univ _,
        Set.mem_iUnion.mpr ⟨S, Set.mem_iUnion.mpr
          ⟨Finset.mem_erase.mpr ⟨hS.ne_empty, Finset.mem_univ _⟩, hm⟩⟩⟩⟩
    have hc : h*S.card/(2*l) ≤ (((colorGraph P ω i).interedges S Sᶜ).card : ℝ) := by
      exact le_of_not_gt (fun hf => hb ⟨hs, hf⟩)
    convert hc using 1 ; ring
  have hbound (i : Fin l) (S : Finset V) :
      (edgeColorMeasure V l).real (B i S) ≤ q^S.card := by
    by_cases hs : S.card ≤ Sᶜ.card
    · calc
        _ ≤ (edgeColorMeasure V l).real {ω |
            (((colorGraph P ω i).interedges S Sᶜ).card : ℝ) < h*S.card/(2*l)} :=
          measureReal_mono (fun _ hw => hw.2)
        _ ≤ exp (-h*S.card/(8*l)) := color_cut_lower_tail P i S hexp hs
        _ = q^S.card := by dsimp [q]; rw [← exp_nat_mul]; congr 1; ring
    · have he : B i S = ∅ := by ext ω; simp [B,hs]
      rw [he, measureReal_empty]
      exact pow_nonneg (exp_pos _).le _
  calc
    _ ≤ (edgeColorMeasure V l).real
        (⋃ i ∈ (Finset.univ : Finset (Fin l)), ⋃ S ∈ cuts, B i S) :=
      measureReal_mono cover (measure_ne_top _ _)
    _ ≤ ∑ i : Fin l, (edgeColorMeasure V l).real (⋃ S ∈ cuts, B i S) :=
      measureReal_biUnion_finset_le _ _
    _ ≤ ∑ i : Fin l, ∑ S ∈ cuts, (edgeColorMeasure V l).real (B i S) :=
      Finset.sum_le_sum (fun _ _ => measureReal_biUnion_finset_le _ _)
    _ ≤ ∑ _i : Fin l, ∑ S ∈ cuts, q^S.card := by
      apply Finset.sum_le_sum; intro i _; exact Finset.sum_le_sum (fun S _ => hbound i S)
    _ = (l : ℝ)*((1+q)^(Fintype.card V)-1) := by
      simp only [cuts, sum_nonempty_subsets_power, Finset.sum_const, Finset.card_univ,
        Fintype.card_fin, nsmul_eq_mul]
    _ ≤ l*(exp ((Fintype.card V : ℝ)*q)-1) := by
      apply mul_le_mul_of_nonneg_left _ (Nat.cast_nonneg l)
      apply sub_le_sub_right
      calc
        _ ≤ (exp q)^(Fintype.card V) :=
          pow_le_pow_left₀ (by dsimp [q]; positivity) (by linarith [add_one_le_exp q]) _
        _ = _ := (exp_nat_mul _ _).symm

theorem edge_splitting_of_error_lt_one (P : SimpleGraph V) [DecidableRel P.Adj]
    {l : ℕ} [NeZero l] {h : ℝ} (hexp : CutExpansion P h)
    (herror : (l : ℝ)*(exp ((Fintype.card V : ℝ)*exp (-h/(8*l)))-1) < 1) :
    ∃ ω : Sym2 V → Fin l,
      (∀ i, CutExpansion (colorGraph P ω i) (h/(2*l))) ∧
      (∀ x y, P.Adj x y ↔ ∃ i, (colorGraph P ω i).Adj x y) ∧
      (∀ i j, i ≠ j → Disjoint (colorGraph P ω i).edgeSet (colorGraph P ω j).edgeSet) := by
  have he := (edge_splitting_failure_bound P hexp).trans_lt herror
  have hh : ∃ ω : Sym2 V → Fin l, ∀ i, CutExpansion (colorGraph P ω i) (h/(2*l)) := by
    by_contra hn
    push Not at hn
    have hall : {ω : Sym2 V → Fin l | ∃ i, ¬CutExpansion (colorGraph P ω i) (h/(2*l))} =
        Set.univ := Set.eq_univ_of_forall hn
    simp only [hall, Measure.real, measure_univ, ENNReal.toReal_one] at he
    exact (lt_irrefl _ he)
  obtain ⟨ω, hω⟩ := hh
  refine ⟨ω, hω, ?_, ?_⟩
  · intro x y
    exact ⟨fun hxy => ⟨ω s(x,y), hxy, rfl⟩, fun ⟨_, hxy, _⟩ => hxy⟩
  · intro i j hij
    apply Set.disjoint_left.mpr
    intro e hei hej
    induction e using Sym2.ind with | _ x y =>
      have hi : (colorGraph P ω i).Adj x y := by simpa using hei
      have hj : (colorGraph P ω j).Adj x y := by simpa using hej
      exact hij (hi.2.symm.trans hj.2)

end

open Filter Asymptotics
open scoped Topology

lemma tendsto_monomial_exp_neg_power (a b c : ℝ) (hb : 0 < b) (hc : 0 < c) :
    Tendsto (fun D : ℝ => D^a * exp (-c * D^b)) atTop (𝓝 0) := by
  have ht := (tendsto_rpow_mul_exp_neg_mul_atTop_nhds_zero (a/b) c hc).comp
    (tendsto_rpow_atTop hb)
  apply ht.congr'
  filter_upwards [eventually_gt_atTop (0 : ℝ)] with D hD
  dsimp only [Function.comp_def]
  rw [← Real.rpow_mul hD.le, mul_div_cancel₀ _ hb.ne']

noncomputable def edgeSplittingScaleError (c : ℝ) (l : ℕ) (D : ℝ) : ℝ :=
  (l : ℝ) * (Real.exp (D^(51/50 : ℝ) * Real.exp ((-(c / (8*l))) * D^(9/10 : ℝ))) - 1)

lemma edgeSplittingScaleError_tendsto (c : ℝ) (hc : 0 < c) (l : ℕ) (hl : 0 < l) :
    Tendsto (edgeSplittingScaleError c l) atTop (𝓝 0) := by
  have hlR : 0 < (l : ℝ) := by exact_mod_cast hl
  have ht := tendsto_monomial_exp_neg_power (51/50) (9/10) (c/(8*l))
    (by norm_num) (by positivity)
  have hh := ((Real.continuous_exp.tendsto 0).comp ht).sub_const 1 |>.const_mul (l : ℝ)
  unfold edgeSplittingScaleError
  convert hh using 1 <;> norm_num

universe u

theorem edge_splitting_uniform (c : ℝ) (hc : 0 < c) (l : ℕ) (hl : 0 < l) :
    ∃ D₀ : ℝ, ∀ D : ℝ, D₀ ≤ D → ∀ (V : Type u) [Fintype V] [DecidableEq V]
      (P : SimpleGraph V) [DecidableRel P.Adj] (h : ℝ),
      c*D^(9/10 : ℝ) ≤ h → D^(9/10 : ℝ) ≤ (Fintype.card V : ℝ) →
      (Fintype.card V : ℝ) ≤ D^(51/50 : ℝ) → CutExpansion P h →
      ∃ ω : Sym2 V → Fin l,
        (∀ i, CutExpansion (colorGraph P ω i) (h/(2*l))) ∧
        (∀ x y, P.Adj x y ↔ ∃ i, (colorGraph P ω i).Adj x y) ∧
        (∀ i j, i ≠ j → Disjoint (colorGraph P ω i).edgeSet (colorGraph P ω j).edgeSet) := by
  have : NeZero l := ⟨hl.ne'⟩
  have hlR : 0 < (l : ℝ) := by exact_mod_cast hl
  have hevent := (edgeSplittingScaleError_tendsto c hc l hl).eventually_lt_const
    (show (0 : ℝ) < 1 by norm_num)
  obtain ⟨D₀,hD₀⟩ := hevent.exists_forall_of_atTop
  refine ⟨D₀, ?_⟩
  intro D hD V _ _ P _ h hh _hrlo hrhi hexp
  apply edge_splitting_of_error_lt_one P hexp
  apply lt_of_le_of_lt _ (hD₀ D hD)
  unfold edgeSplittingScaleError
  apply mul_le_mul_of_nonneg_left _ hlR.le
  apply sub_le_sub_right
  apply exp_le_exp.mpr
  apply mul_le_mul hrhi _ (exp_pos _).le ((Nat.cast_nonneg (Fintype.card V)).trans hrhi)
  apply exp_le_exp.mpr
  have he := div_le_div_of_nonneg_right hh (show 0 ≤ 8*(l : ℝ) by positivity)
  calc
    -h/(8*l) = -(h/(8*l)) := by ring
    _ ≤ -(c*D^(9/10 : ℝ)/(8*l)) := neg_le_neg he
    _ = -(c/(8*l))*D^(9/10 : ℝ) := by ring

end ErdosGallai.Splitting

end
end
end

end OAI