mathlib-initiative/mathlib-tactics huggingface dataset:
Module: Mathlib.Combinatorics.SimpleGraph.Extremal.ErdosStoneSimonovits

Goal state before:
pp: ε : ℝ
hε : 0 < ε
r t : ℕ
hr_pos : 0 < r
ht_pos : 0 < t
ε' : ℝ := 1 / (↑(r - 1) * ↑r) + ε
hε' : 0 < ε'
t' : ℕ := ⌊↑t / (↑r * ε)⌋₊ + 1
ht_lt_rt'ε : ↑t < ↑r * ↑t' * ε
ht'_pos : 0 < t'
N' : ℕ
ih :
  ∀ (b : ℕ),
    N' ≤ b →
      ∀ {G : SimpleGraph (Fin b)} [inst : DecidableRel G.Adj],
        ↑G.minDegree ≥ (1 - 1 / ↑(r - 1) + ε') * ↑b → completeEquipartiteGraph (r - 1 + 1) t' ⊑ G
N : ℕ := max (max 1 N') ⌈(↑(t'.choose t) ^ r * ↑t + ↑r * ↑t') * (↑t' - ↑t) / (↑r * ↑t' * ε - ↑t)⌉₊
n : ℕ
hn : N ≤ n
G : SimpleGraph (Fin n)
x✝ : DecidableRel G.Adj
hδ : ↑G.minDegree ≥ (1 - 1 / ↑r + ε) * ↑n
this : Nonempty (Fin n)
hrε_lt_1 : ↑r * ε < 1
ht_lt_t' : t < t'
hr_eq_1 : r = 1
h0 : r ≤ 1 ∨ t' = 0
⊢ ↑t' * (↑r * ε) ≤ ↑t'

Tactic:
mul_le_iff_le_one_right (by positivity)

Goal state after:
ε : ℝ
hε : 0 < ε
r t : ℕ
hr_pos : 0 < r
ht_pos : 0 < t
ε' : ℝ := 1 / (↑(r - 1) * ↑r) + ε
hε' : 0 < ε'
t' : ℕ := ⌊↑t / (↑r * ε)⌋₊ + 1
ht_lt_rt'ε : ↑t < ↑r * ↑t' * ε
ht'_pos : 0 < t'
N' : ℕ
ih :
  ∀ (b : ℕ),
    N' ≤ b →
      ∀ {G : SimpleGraph (Fin b)} [inst : DecidableRel G.Adj],
        ↑G.minDegree ≥ (1 - 1 / ↑(r - 1) + ε') * ↑b → completeEquipartiteGraph (r - 1 + 1) t' ⊑ G
N : ℕ := max (max 1 N') ⌈(↑(t'.choose t) ^ r * ↑t + ↑r * ↑t') * (↑t' - ↑t) / (↑r * ↑t' * ε - ↑t)⌉₊
n : ℕ
hn : N ≤ n
G : SimpleGraph (Fin n)
x✝ : DecidableRel G.Adj
hδ : ↑G.minDegree ≥ (1 - 1 / ↑r + ε) * ↑n
this : Nonempty (Fin n)
hrε_lt_1 : ↑r * ε < 1
ht_lt_t' : t < t'
hr_eq_1 : r = 1
h0 : r ≤ 1 ∨ t' = 0
⊢ ↑r * ε ≤ 1
Module: Mathlib.Combinatorics.SimpleGraph.Partition

Goal state before:
pp: V : Type u
G : SimpleGraph V
P : G.Partition
v w : V
h : G.Adj v w
hn : P.partOfVertex v = P.partOfVertex w
hw : w ∈ P.partOfVertex v
⊢ False

Tactic:
exact P.independent _ (P.partOfVertex_mem v) (P.mem_partOfVertex v) hw (G.ne_of_adj h) h

Goal state after:
Module: Mathlib.Combinatorics.SimpleGraph.Extremal.ErdosStoneSimonovits

Goal state before:
pp: ε : ℝ
hε : 0 < ε
r t : ℕ
hr_pos : 0 < r
ht_pos : 0 < t
ε' : ℝ := 1 / (↑(r - 1) * ↑r) + ε
hε' : 0 < ε'
t' : ℕ := ⌊↑t / (↑r * ε)⌋₊ + 1
ht_lt_rt'ε : ↑t < ↑r * ↑t' * ε
ht'_pos : 0 < t'
N' : ℕ
ih :
  ∀ (b : ℕ),
    N' ≤ b →
      ∀ {G : SimpleGraph (Fin b)} [inst : DecidableRel G.Adj],
        ↑G.minDegree ≥ (1 - 1 / ↑(r - 1) + ε') * ↑b → completeEquipartiteGraph (r - 1 + 1) t' ⊑ G
N : ℕ := max (max 1 N') ⌈(↑(t'.choose t) ^ r * ↑t + ↑r * ↑t') * (↑t' - ↑t) / (↑r * ↑t' * ε - ↑t)⌉₊
n : ℕ
hn : N ≤ n
G : SimpleGraph (Fin n)
x✝ : DecidableRel G.Adj
hδ : ↑G.minDegree ≥ (1 - 1 / ↑r + ε) * ↑n
this : Nonempty (Fin n)
hrε_lt_1 : ↑r * ε < 1
ht_lt_t' : t < t'
hr_ne_1 : r ≠ 1
⊢ (1 - 1 / ↑(r - 1) + 1 / (↑(r - 1) * ↑r) + ε) * ↑n = (1 - 1 / ↑(r - 1) + ε') * ↑n

Tactic:
add_assoc

Goal state after:
ε : ℝ
hε : 0 < ε
r t : ℕ
hr_pos : 0 < r
ht_pos : 0 < t
ε' : ℝ := 1 / (↑(r - 1) * ↑r) + ε
hε' : 0 < ε'
t' : ℕ := ⌊↑t / (↑r * ε)⌋₊ + 1
ht_lt_rt'ε : ↑t < ↑r * ↑t' * ε
ht'_pos : 0 < t'
N' : ℕ
ih :
  ∀ (b : ℕ),
    N' ≤ b →
      ∀ {G : SimpleGraph (Fin b)} [inst : DecidableRel G.Adj],
        ↑G.minDegree ≥ (1 - 1 / ↑(r - 1) + ε') * ↑b → completeEquipartiteGraph (r - 1 + 1) t' ⊑ G
N : ℕ := max (max 1 N') ⌈(↑(t'.choose t) ^ r * ↑t + ↑r * ↑t') * (↑t' - ↑t) / (↑r * ↑t' * ε - ↑t)⌉₊
n : ℕ
hn : N ≤ n
G : SimpleGraph (Fin n)
x✝ : DecidableRel G.Adj
hδ : ↑G.minDegree ≥ (1 - 1 / ↑r + ε) * ↑n
this : Nonempty (Fin n)
hrε_lt_1 : ↑r * ε < 1
ht_lt_t' : t < t'
hr_ne_1 : r ≠ 1
⊢ (1 - 1 / ↑(r - 1) + (1 / (↑(r - 1) * ↑r) + ε)) * ↑n = (1 - 1 / ↑(r - 1) + ε') * ↑n
Module: Mathlib.Combinatorics.SimpleGraph.StronglyRegular

Goal state before:
pp: V : Type u
inst✝² : Fintype V
G : SimpleGraph V
inst✝¹ : DecidableRel G.Adj
n k ℓ μ : ℕ
inst✝ : DecidableEq V
v w : V
h : G.IsSRGWith n k ℓ μ
ha : G.Adj v w
⊢ #(G.neighborFinset v ∪ G.neighborFinset w) = 2 * k - ℓ

Tactic:
← h.of_adj v w ha

Goal state after:
V : Type u
inst✝² : Fintype V
G : SimpleGraph V
inst✝¹ : DecidableRel G.Adj
n k ℓ μ : ℕ
inst✝ : DecidableEq V
v w : V
h : G.IsSRGWith n k ℓ μ
ha : G.Adj v w
⊢ #(G.neighborFinset v ∪ G.neighborFinset w) = 2 * k - Fintype.card ↑(G.commonNeighbors v w)
Module: Mathlib.Combinatorics.SimpleGraph.Extremal.ErdosStoneSimonovits

Goal state before:
pp: case inr
ε : ℝ
hε : 0 < ε
r t : ℕ
hr_pos : 0 < r
ht_pos : 0 < t
ε' : ℝ := 1 / (↑(r - 1) * ↑r) + ε
hε' : 0 < ε'
t' : ℕ := ⌊↑t / (↑r * ε)⌋₊ + 1
ht_lt_rt'ε : ↑t < ↑r * ↑t' * ε
ht'_pos : 0 < t'
N' : ℕ
N : ℕ := max (max 1 N') ⌈(↑(t'.choose t) ^ r * ↑t + ↑r * ↑t') * (↑t' - ↑t) / (↑r * ↑t' * ε - ↑t)⌉₊
n : ℕ
hn : N ≤ n
G : SimpleGraph (Fin n)
x✝ : DecidableRel G.Adj
hδ : ↑G.minDegree ≥ (1 - 1 / ↑r + ε) * ↑n
this : Nonempty (Fin n)
hrε_lt_1 : ↑r * ε < 1
ht_lt_t' : t < t'
ih : completeEquipartiteGraph r t' ⊑ G
K : G.CompleteEquipartiteSubgraph r t'
⊢ completeEquipartiteGraph (r + 1) t ⊑ G

Tactic:
obtain ⟨⟨y, hy⟩, ht_le_card_filter⟩ := by
      apply ErdosStone.filter.pi.exists_le_card_fiber K hr_pos ht'_pos ht_lt_t' hδ
      rw [← div_le_iff₀ (sub_pos_of_lt ht_lt_rt'ε)]
      trans (N : ℝ)
      · exact (Nat.le_ceil _).trans (Nat.cast_le.mpr <| le_max_right _ _)
      · exact_mod_cast hn

Goal state after:
case inr
ε : ℝ
hε : 0 < ε
r t : ℕ
hr_pos : 0 < r
ht_pos : 0 < t
ε' : ℝ := 1 / (↑(r - 1) * ↑r) + ε
hε' : 0 < ε'
t' : ℕ := ⌊↑t / (↑r * ε)⌋₊ + 1
ht_lt_rt'ε : ↑t < ↑r * ↑t' * ε
ht'_pos : 0 < t'
N' : ℕ
N : ℕ := max (max 1 N') ⌈(↑(t'.choose t) ^ r * ↑t + ↑r * ↑t') * (↑t' - ↑t) / (↑r * ↑t' * ε - ↑t)⌉₊
n : ℕ
hn : N ≤ n
G : SimpleGraph (Fin n)
x✝ : DecidableRel G.Adj
hδ : ↑G.minDegree ≥ (1 - 1 / ↑r + ε) * ↑n
this : Nonempty (Fin n)
hrε_lt_1 : ↑r * ε < 1
ht_lt_t' : t < t'
ih : completeEquipartiteGraph r t' ⊑ G
K : G.CompleteEquipartiteSubgraph r t'
y : (a : Finset (Fin n)) → a ∈ K.parts → Finset (Fin n)
hy : y ∈ K.parts.pi fun x ↦ powersetCard t x
ht_le_card_filter : t ≤ #{w | ErdosStone.filter.pi K w = ⟨y, hy⟩}
⊢ completeEquipartiteGraph (r + 1) t ⊑ G
Module: Mathlib.Combinatorics.SimpleGraph.Trails

Goal state before:
pp: case pos.inl
V : Type u_1
G : SimpleGraph V
inst✝ : DecidableEq V
u v x v✝ w✝ : V
p : G.Walk v✝ w✝
ih : Even (List.countP (fun e ↦ decide (x ∈ e)) p.edges) ↔ v✝ ≠ w✝ → x ≠ v✝ ∧ x ≠ w✝
huv : G.Adj x v✝
ht : p.IsTrail ∧ s(x, v✝) ∉ p.edges
⊢ ¬(v✝ ≠ w✝ → x ≠ v✝ ∧ x ≠ w✝) ↔ ¬x = w✝ → ¬x = x ∧ ¬x = w✝

Tactic:
simp only [huv.ne, imp_false, Ne, not_false_iff, true_and, not_forall,
          Classical.not_not, exists_prop, not_true, false_and,
          and_iff_right_iff_imp]

Goal state after:
case pos.inl
V : Type u_1
G : SimpleGraph V
inst✝ : DecidableEq V
u v x v✝ w✝ : V
p : G.Walk v✝ w✝
ih : Even (List.countP (fun e ↦ decide (x ∈ e)) p.edges) ↔ v✝ ≠ w✝ → x ≠ v✝ ∧ x ≠ w✝
huv : G.Adj x v✝
ht : p.IsTrail ∧ s(x, v✝) ∉ p.edges
⊢ x = w✝ → ¬v✝ = w✝
Module: Mathlib.Combinatorics.SimpleGraph.VertexCover

Goal state before:
pp: V : Type u_1
W : Type u_2
G : SimpleGraph V
H : SimpleGraph W
h : G ⊑ H
⊢ G.vertexCoverNum ≤ H.vertexCoverNum

Tactic:
have ⟨f, hf⟩ := h

Goal state after:
V : Type u_1
W : Type u_2
G : SimpleGraph V
H : SimpleGraph W
h : G ⊑ H
f : G →g H
hf : Function.Injective ⇑f
⊢ G.vertexCoverNum ≤ H.vertexCoverNum
Module: Mathlib.Combinatorics.Young.YoungDiagram

Goal state before:
pp: μ : YoungDiagram
x✝¹ x✝ : ℕ × ℕ
h : x✝ ≤ x✝¹
hcell : (Equiv.prodComm ℕ ℕ).symm x✝¹ ∈ μ.cells
⊢ (Equiv.prodComm ℕ ℕ).symm x✝ ∈ μ.cells

Tactic:
apply μ.isLowerSet _ hcell

Goal state after:
μ : YoungDiagram
x✝¹ x✝ : ℕ × ℕ
h : x✝ ≤ x✝¹
hcell : (Equiv.prodComm ℕ ℕ).symm x✝¹ ∈ μ.cells
⊢ (Equiv.prodComm ℕ ℕ).symm x✝ ≤ (Equiv.prodComm ℕ ℕ).symm x✝¹
Module: Mathlib.Combinatorics.Young.YoungDiagram

Goal state before:
pp: w : List ℕ
hw : w.SortedGE
i2 j2 i1 j1 : ℕ
hi : i1 ≤ i2
hj : j1 ≤ j2
h1 : (i2, j2).1 < w.length
h2 : (i2, j2).2 < w[(i2, j2).1]
⊢ w[i2] ≤ w[i1]

Tactic:
by
        obtain rfl | h := eq_or_lt_of_le hi
        · rfl
        · exact hw.getElem_ge_getElem_of_le h.le

Goal state after:
Module: Mathlib.Combinatorics.SimpleGraph.Tutte

Goal state before:
pp: case neg
V : Type u_1
G : SimpleGraph V
inst✝ : Finite V
x a b c : V
M1 : (G ⊔ edge x b).Subgraph
M2 : (G ⊔ edge a c).Subgraph
hxa : G.Adj x a
hab : G.Adj a b
hnGxb : ¬G.Adj x b
hnGac : ¬G.Adj a c
hnxb : x ≠ b
hnxc : x ≠ c
hnac : a ≠ c
hnbc : b ≠ c
hM1 : M1.IsPerfectMatching
hM2 : M2.IsPerfectMatching
hM1xb : M1.Adj x b
hM2ac : M2.Adj a c
hM1nac : ¬M1.Adj a c
hsupG : G ⊔ edge x b ⊔ (G ⊔ edge a c) = G ⊔ edge a c ⊔ edge x b
cycles : SimpleGraph V := M1.spanningCoe ∆ M2.spanningCoe
hcalt : cycles.IsAlternating M2.spanningCoe
hcycles : (M1.spanningCoe ∆ M2.spanningCoe).IsCycles
hcac : cycles.Adj a c
hM1sub : M1.spanningCoe ≤ G ⊔ edge x b
hM2sub : M2.spanningCoe ≤ G ⊔ edge a c
induce_le : (cycles.connectedComponentMk c).toSimpleGraph.spanningCoe ≤ G ⊔ edge a c ⊔ edge x b
hxc : x ∈ (cycles.connectedComponentMk c).supp
hacc : a ∈ (cycles.connectedComponentMk c).supp
this : (G : SimpleGraph V) → G.LocallyFinite
⊢ ∃ G', G'.IsAlternating M2.spanningCoe ∧ G'.IsCycles ∧ ¬G'.Adj x b ∧ G'.Adj a c ∧ G' ≤ G ⊔ edge a c

Tactic:
have hnM2 (x' : V) (h : x' ≠ c) : ¬ M2.Adj x' a := by
    rw [M2.adj_comm]
    exact hM2.1.not_adj_left_of_ne h.symm hM2ac

Goal state after:
case neg
V : Type u_1
G : SimpleGraph V
inst✝ : Finite V
x a b c : V
M1 : (G ⊔ edge x b).Subgraph
M2 : (G ⊔ edge a c).Subgraph
hxa : G.Adj x a
hab : G.Adj a b
hnGxb : ¬G.Adj x b
hnGac : ¬G.Adj a c
hnxb : x ≠ b
hnxc : x ≠ c
hnac : a ≠ c
hnbc : b ≠ c
hM1 : M1.IsPerfectMatching
hM2 : M2.IsPerfectMatching
hM1xb : M1.Adj x b
hM2ac : M2.Adj a c
hM1nac : ¬M1.Adj a c
hsupG : G ⊔ edge x b ⊔ (G ⊔ edge a c) = G ⊔ edge a c ⊔ edge x b
cycles : SimpleGraph V := M1.spanningCoe ∆ M2.spanningCoe
hcalt : cycles.IsAlternating M2.spanningCoe
hcycles : (M1.spanningCoe ∆ M2.spanningCoe).IsCycles
hcac : cycles.Adj a c
hM1sub : M1.spanningCoe ≤ G ⊔ edge x b
hM2sub : M2.spanningCoe ≤ G ⊔ edge a c
induce_le : (cycles.connectedComponentMk c).toSimpleGraph.spanningCoe ≤ G ⊔ edge a c ⊔ edge x b
hxc : x ∈ (cycles.connectedComponentMk c).supp
hacc : a ∈ (cycles.connectedComponentMk c).supp
this : (G : SimpleGraph V) → G.LocallyFinite
hnM2 : ∀ (x' : V), x' ≠ c → ¬M2.Adj x' a
⊢ ∃ G', G'.IsAlternating M2.spanningCoe ∧ G'.IsCycles ∧ ¬G'.Adj x b ∧ G'.Adj a c ∧ G' ≤ G ⊔ edge a c
Module: Mathlib.Computability.Primrec.List

Goal state before:
pp: α : Type u_1
β : Type u_2
σ : Type u_3
inst✝² : Primcodable α
inst✝¹ : Primcodable β
inst✝ : Primcodable σ
H : Nat.Primrec fun n ↦ encode (decode n)
f : α → List β
g : α → σ
h : α → σ × β → σ
hf : Primrec f
hg : Primrec g
hh : Primrec₂ h
this✝ : Primcodable (List β) := prim H
G : α → σ × List β → σ × List β := fun a IH ↦ List.casesOn IH.2 IH fun b l ↦ (h a (IH.1, b), l)
hG : Primrec₂ G
F : α → ℕ → σ × List β := fun a n ↦ (G a)^[n] (g a, f a)
hF : Primrec fun a ↦ (F a (encode (f a))).1
this : ∀ (a : α) (n : ℕ), F a n = (List.foldl (fun s b ↦ h a (s, b)) (g a) (List.take n (f a)), List.drop n (f a))
⊢ Primrec fun a ↦ List.foldl (fun s b ↦ h a (s, b)) (g a) (f a)

Tactic:
refine hF.of_eq fun a => ?_
    rw [this, List.take_of_length_le (length_le_encode _)]

Goal state after:
Module: Mathlib.Computability.Primrec.Basic

Goal state before:
pp: p : ℕ × ℕ
⊢ Nat.rec true (fun n n_ih ↦ false) (p.1 - p.2) = decide (p.1 ≤ p.2)

Tactic:
rcases e : p.1 - p.2 with - | n

Goal state after:
case zero
p : ℕ × ℕ
e : p.1 - p.2 = 0
⊢ Nat.rec true (fun n n_ih ↦ false) 0 = decide (p.1 ≤ p.2)

case succ
p : ℕ × ℕ
n : ℕ
e : p.1 - p.2 = n + 1
⊢ Nat.rec true (fun n n_ih ↦ false) (n + 1) = decide (p.1 ≤ p.2)
Module: Mathlib.Computability.Primrec.Basic

Goal state before:
pp: α : Type u_1
σ : Type u_3
inst✝² : Primcodable α
inst✝¹ : Primcodable σ
inst✝ : Finite α
f : α → σ
l : List α
left✝ : l.Nodup
m : ∀ (x : α), x ∈ l
this : DecidableEq α
a : α
⊢ (List.map f l)[List.idxOf a l]? = some (f a)

Tactic:
rw [List.getElem?_map, List.getElem?_idxOf (m a), Option.map_some]

Goal state after:
Module: Mathlib.Computability.Primrec.Basic

Goal state before:
pp: case false
n : ℕ
H : n.bodd = false
⊢ (id n % 2 == 1) = false

Tactic:
simp [Nat.mod_two_of_bodd, H]

Goal state after:
Module: Mathlib.Computability.Primrec.Basic

Goal state before:
pp: case true
n : ℕ
H : n.bodd = true
⊢ (id n % 2 == 1) = true

Tactic:
simp [Nat.mod_two_of_bodd, H]

Goal state after:
Module: Mathlib.Computability.Primrec.List

Goal state before:
pp: case succ
β : Type u_2
σ : Type u_4
inst✝¹ : Primcodable β
inst✝ : Primcodable σ
f : β → σ
m : β → ℕ
l : β → List β
g : β → List σ → Option σ
hm : Primrec m
hl : Primrec l
hg : Primrec₂ g
Ord : ∀ (b b' : β), b' ∈ l b → m b' < m b
H : ∀ (b : β), g b (List.map f (l b)) = some (f b)
this✝ : DecidableEq β
mapGraph : List (β × σ) → List β → List σ := fun M bs ↦ List.flatMap (fun x ↦ (List.lookup x M).toList) bs
bindList : β → ℕ → List β := fun b n ↦ Nat.rec [b] (fun x bs ↦ List.flatMap l bs) n
graph : β → ℕ → List (β × σ) :=
  fun b i ↦
    Nat.rec []
      (fun i ih ↦
        List.filterMap (fun b' ↦ Option.map (fun x ↦ (b', x)) (g b' (mapGraph ih (l b')))) (bindList b (m b - i)))
      i
mapGraph_primrec : Primrec₂ mapGraph
bindList_primrec : Primrec₂ bindList
graph_primrec : Primrec₂ graph
this : Primrec fun b ↦ Option.map Prod.snd (graph b (m b + 1))[0]?
b : β
bindList_eq_nil : bindList b (m b + 1) = []
mapGraph_graph : ∀ {bs bs' : List β}, bs' ⊆ bs → mapGraph (List.map (fun x ↦ (x, f x)) bs) bs' = List.map f bs'
graph_succ :
  ∀ (i : ℕ),
    graph b (i + 1) =
      List.filterMap (fun b' ↦ Option.map (fun x ↦ (b', x)) (g b' (mapGraph (graph b i) (l b')))) (bindList b (m b - i))
bindList_succ : ∀ (i : ℕ), bindList b (i + 1) = List.flatMap l (bindList b i)
i : ℕ
ih : i ≤ m b + 1 → graph b i = List.map (fun x ↦ (x, f x)) (bindList b (m b + 1 - i))
hi : i + 1 ≤ m b + 1
⊢ List.filterMap
      (fun x ↦
        Option.map (fun x_1 ↦ (x, x_1))
          (g x (mapGraph (List.map (fun x ↦ (x, f x)) (List.flatMap l (bindList b (m b - i)))) (l x))))
      (bindList b (m b - i)) =
    List.map (fun x ↦ (x, f x)) (bindList b (m b - i))

Tactic:
apply List.filterMap_eq_map_iff_forall_eq_some.mpr

Goal state after:
case succ
β : Type u_2
σ : Type u_4
inst✝¹ : Primcodable β
inst✝ : Primcodable σ
f : β → σ
m : β → ℕ
l : β → List β
g : β → List σ → Option σ
hm : Primrec m
hl : Primrec l
hg : Primrec₂ g
Ord : ∀ (b b' : β), b' ∈ l b → m b' < m b
H : ∀ (b : β), g b (List.map f (l b)) = some (f b)
this✝ : DecidableEq β
mapGraph : List (β × σ) → List β → List σ := ⋯
bindList : β → ℕ → List β := ⋯
graph : β → ℕ → List (β × σ) := ⋯
mapGraph_primrec : Primrec₂ mapGraph
bindList_primrec : Primrec₂ bindList
graph_primrec : Primrec₂ graph
this : Primrec fun b ↦ Option.map Prod.snd (graph b (m b + 1))[0]?
b : β
bindList_eq_nil : bindList b (m b + 1) = []
mapGraph_graph : ∀ {bs bs' : List β}, bs' ⊆ bs → mapGraph (List.map (fun x ↦ (x, f x)) bs) bs' = List.map f bs'
graph_succ :
  ∀ (i : ℕ),
    graph b (i + 1) =
      List.filterMap (fun b' ↦ Option.map (fun x ↦ (b', x)) (g b' (mapGraph (graph b i) (l b')))) (bindList b (m b - i))
bindList_succ : ∀ (i : ℕ), bindList b (i + 1) = List.flatMap l (bindList b i)
i : ℕ
ih : i ≤ m b + 1 → graph b i = List.map (fun x ↦ (x, f x)) (bindList b (m b + 1 - i))
hi : i + 1 ≤ m b + 1
⊢ ∀ x ∈ bindList b (m b - i),
    Option.map (fun x_1 ↦ (x, x_1))
        (g x (mapGraph (List.map (fun x ↦ (x, f x)) (List.flatMap l (bindList b (m b - i)))) (l x))) =
      some (x, f x)
Module: Mathlib.Computability.PartrecCode

Goal state before:
pp: n : ℕ
m : ℕ := n.div2.div2
hm : m < n + 4
_m1 : (unpair m).1 < n + 4
_m2 : (unpair m).2 < n + 4
⊢ (ofNatCode (n + 4)).encodeCode = n + 4

Tactic:
have IH := encode_ofNatCode m

Goal state after:
n : ℕ
m : ℕ := n.div2.div2
hm : m < n + 4
_m1 : (unpair m).1 < n + 4
_m2 : (unpair m).2 < n + 4
IH : (ofNatCode m).encodeCode = m
⊢ (ofNatCode (n + 4)).encodeCode = n + 4
Module: Mathlib.Computability.Ackermann

Goal state before:
pp: case inr.inl
f✝ f g : ℕ → ℕ
hf : Nat.Primrec f
hg : Nat.Primrec g
a : ℕ
ha : ∀ (n : ℕ), f n < ack a n
b : ℕ
hb : ∀ (n : ℕ), g n < ack b n
m n : ℕ
IH : rec (f m) (fun y IH ↦ g (pair m (pair y IH))) n < ack (max a b + 9) (m + n)
h₁ : m ≤ pair n (rec (f m) (fun y IH ↦ g (pair m (pair y IH))) n)
h₂ : rec (f m) (fun y IH ↦ g (pair m (pair y IH))) n < n
⊢ ack (b + 4 + 4) n ≤ ack (max a b + 9) (m + (n + 1))

Tactic:
add_assoc

Goal state after:
case inr.inl
f✝ f g : ℕ → ℕ
hf : Nat.Primrec f
hg : Nat.Primrec g
a : ℕ
ha : ∀ (n : ℕ), f n < ack a n
b : ℕ
hb : ∀ (n : ℕ), g n < ack b n
m n : ℕ
IH : rec (f m) (fun y IH ↦ g (pair m (pair y IH))) n < ack (max a b + 9) (m + n)
h₁ : m ≤ pair n (rec (f m) (fun y IH ↦ g (pair m (pair y IH))) n)
h₂ : rec (f m) (fun y IH ↦ g (pair m (pair y IH))) n < n
⊢ ack (b + (4 + 4)) n ≤ ack (max a b + 9) (m + (n + 1))
Module: Mathlib.Computability.Ackermann

Goal state before:
pp: case inr.inr
f✝ f g : ℕ → ℕ
hf : Nat.Primrec f
hg : Nat.Primrec g
a : ℕ
ha : ∀ (n : ℕ), f n < ack a n
b : ℕ
hb : ∀ (n : ℕ), g n < ack b n
m n : ℕ
IH : rec (f m) (fun y IH ↦ g (pair m (pair y IH))) n < ack (max a b + 9) (m + n)
h₁ : m ≤ pair n (rec (f m) (fun y IH ↦ g (pair m (pair y IH))) n)
h₂ : n ≤ rec (f m) (fun y IH ↦ g (pair m (pair y IH))) n
⊢ ack (b + 4 + 4) (ack (max a b + 8 + 1) (m + n)) ≤ ack (max a b + 8) (ack (max a b + 8 + 1) (m + n))

Tactic:
add_assoc

Goal state after:
case inr.inr
f✝ f g : ℕ → ℕ
hf : Nat.Primrec f
hg : Nat.Primrec g
a : ℕ
ha : ∀ (n : ℕ), f n < ack a n
b : ℕ
hb : ∀ (n : ℕ), g n < ack b n
m n : ℕ
IH : rec (f m) (fun y IH ↦ g (pair m (pair y IH))) n < ack (max a b + 9) (m + n)
h₁ : m ≤ pair n (rec (f m) (fun y IH ↦ g (pair m (pair y IH))) n)
h₂ : n ≤ rec (f m) (fun y IH ↦ g (pair m (pair y IH))) n
⊢ ack (b + (4 + 4)) (ack (max a b + 8 + 1) (m + n)) ≤ ack (max a b + 8) (ack (max a b + 8 + 1) (m + n))
Module: Mathlib.Computability.AkraBazzi.SumTransform

Goal state before:
pp: ⊢ (fun n ↦ ↑n / log ↑n ^ 2) =o[atTop] fun n ↦ ↑n

Tactic:
calc (fun (n : ℕ) => (n : ℝ) / log n ^ 2)
    _ = fun (n : ℕ) => (n : ℝ) * ((log n) ^ 2)⁻¹ := by simp_rw [div_eq_mul_inv]
    _ =o[atTop] fun (n : ℕ) => (n : ℝ) * 1⁻¹ := by
      refine IsBigO.mul_isLittleO (isBigO_refl _ _) ?_
      refine IsLittleO.inv_rev ?_ (by simp)
      calc
        _ = (fun (_ : ℕ) => ((1 : ℝ) ^ 2)) := by simp
        _ =o[atTop] (fun (n : ℕ) => (log n) ^ 2) :=
          IsLittleO.pow (IsLittleO.natCast_atTop <| isLittleO_const_log_atTop) (by norm_num)
    _ = (fun (n : ℕ) => (n : ℝ)) := by ext; simp

Goal state after:
Module: Mathlib.Computability.AkraBazzi.AkraBazzi

Goal state before:
pp: p : ℝ
⊢ GrowsPolynomially fun x ↦ ‖deriv (fun z ↦ z ^ p * (1 - ε z)) x‖

Tactic:
cases eq_or_ne p 0 with
  | inl hp => -- p = 0
    have h₁ : (fun x => ‖deriv (fun z => z ^ p * (1 - ε z)) x‖)
        =ᶠ[atTop] fun z => z⁻¹ / (log z ^ 2) := by
      filter_upwards [eventually_deriv_one_sub_smoothingFn, eventually_gt_atTop 1] with x hx hx_pos
      have : 0 ≤ x⁻¹ / (log x ^ 2) := by positivity
      simp only [hp, Real.rpow_zero, one_mul, hx, Real.norm_of_nonneg this]
    refine GrowsPolynomially.congr_of_eventuallyEq h₁ ?_
    refine GrowsPolynomially.div (GrowsPolynomially.inv growsPolynomially_id)
      (GrowsPolynomially.pow 2 growsPolynomially_log ?_)
    filter_upwards [eventually_ge_atTop 1] with _ hx using log_nonneg hx
  | inr hp => -- p ≠ 0
    refine GrowsPolynomially.of_isTheta (growsPolynomially_rpow (p - 1))
      (isTheta_deriv_rpow_p_mul_one_sub_smoothingFn hp) ?_
    filter_upwards [eventually_gt_atTop 0] with _ _
    positivity

Goal state after:
Module: Mathlib.Computability.AkraBazzi.SumTransform

Goal state before:
pp: ⊢ (fun x ↦ (-x * log x ^ 2)⁻¹) =o[atTop] fun x ↦ (x * 1)⁻¹

Tactic:
refine IsLittleO.inv_rev ?_ ?_
      · refine IsBigO.mul_isLittleO
          (by rw [isBigO_neg_right]; aesop (add safe isBigO_refl)) ?_
        rw [isLittleO_one_left_iff]
        exact Tendsto.comp tendsto_norm_atTop_atTop
          <| Tendsto.comp (tendsto_pow_atTop (by norm_num)) tendsto_log_atTop
      · exact Filter.Eventually.of_forall (fun x hx => by rw [mul_one] at hx; simp [hx])

Goal state after:
Module: Mathlib.Computability.AkraBazzi.GrowsPolynomially

Goal state before:
pp: case h₁
f g : ℝ → ℝ
hf✝¹ : GrowsPolynomially f
hg✝¹ : GrowsPolynomially g
b : ℝ
hb : b ∈ Set.Ioo 0 1
c₁ : ℝ
hc₁_mem : c₁ > 0
c₂ : ℝ
hc₂_mem : c₂ > 0
hf✝ :
  ∀ᶠ (x : ℝ) in atTop,
    ∀ u ∈ Set.Icc (b * x) x, (fun x ↦ |f x|) u ∈ Set.Icc (c₁ * (fun x ↦ |f x|) x) (c₂ * (fun x ↦ |f x|) x)
c₃ : ℝ
hc₃_mem : c₃ > 0
c₄ : ℝ
hc₄_mem : c₄ > 0
hg✝ :
  ∀ᶠ (x : ℝ) in atTop,
    ∀ u ∈ Set.Icc (b * x) x, (fun x ↦ |g x|) u ∈ Set.Icc (c₃ * (fun x ↦ |g x|) x) (c₄ * (fun x ↦ |g x|) x)
x : ℝ
hf : ∀ u ∈ Set.Icc (b * x) x, |f u| ∈ Set.Icc (c₁ * |f x|) (c₂ * |f x|)
hg : ∀ u ∈ Set.Icc (b * x) x, |g u| ∈ Set.Icc (c₃ * |g x|) (c₄ * |g x|)
u : ℝ
hu : u ∈ Set.Icc (b * x) x
⊢ c₁ * |f x| ≤ |f u|

pp: case h₂
f g : ℝ → ℝ
hf✝¹ : GrowsPolynomially f
hg✝¹ : GrowsPolynomially g
b : ℝ
hb : b ∈ Set.Ioo 0 1
c₁ : ℝ
hc₁_mem : c₁ > 0
c₂ : ℝ
hc₂_mem : c₂ > 0
hf✝ :
  ∀ᶠ (x : ℝ) in atTop,
    ∀ u ∈ Set.Icc (b * x) x, (fun x ↦ |f x|) u ∈ Set.Icc (c₁ * (fun x ↦ |f x|) x) (c₂ * (fun x ↦ |f x|) x)
c₃ : ℝ
hc₃_mem : c₃ > 0
c₄ : ℝ
hc₄_mem : c₄ > 0
hg✝ :
  ∀ᶠ (x : ℝ) in atTop,
    ∀ u ∈ Set.Icc (b * x) x, (fun x ↦ |g x|) u ∈ Set.Icc (c₃ * (fun x ↦ |g x|) x) (c₄ * (fun x ↦ |g x|) x)
x : ℝ
hf : ∀ u ∈ Set.Icc (b * x) x, |f u| ∈ Set.Icc (c₁ * |f x|) (c₂ * |f x|)
hg : ∀ u ∈ Set.Icc (b * x) x, |g u| ∈ Set.Icc (c₃ * |g x|) (c₄ * |g x|)
u : ℝ
hu : u ∈ Set.Icc (b * x) x
⊢ c₃ * |g x| ≤ |g u|

Tactic:
· exact (hf u hu).1

Goal state after:
case h₂
f g : ℝ → ℝ
hf✝¹ : GrowsPolynomially f
hg✝¹ : GrowsPolynomially g
b : ℝ
hb : b ∈ Set.Ioo 0 1
c₁ : ℝ
hc₁_mem : c₁ > 0
c₂ : ℝ
hc₂_mem : c₂ > 0
hf✝ :
  ∀ᶠ (x : ℝ) in atTop,
    ∀ u ∈ Set.Icc (b * x) x, (fun x ↦ |f x|) u ∈ Set.Icc (c₁ * (fun x ↦ |f x|) x) (c₂ * (fun x ↦ |f x|) x)
c₃ : ℝ
hc₃_mem : c₃ > 0
c₄ : ℝ
hc₄_mem : c₄ > 0
hg✝ :
  ∀ᶠ (x : ℝ) in atTop,
    ∀ u ∈ Set.Icc (b * x) x, (fun x ↦ |g x|) u ∈ Set.Icc (c₃ * (fun x ↦ |g x|) x) (c₄ * (fun x ↦ |g x|) x)
x : ℝ
hf : ∀ u ∈ Set.Icc (b * x) x, |f u| ∈ Set.Icc (c₁ * |f x|) (c₂ * |f x|)
hg : ∀ u ∈ Set.Icc (b * x) x, |g u| ∈ Set.Icc (c₃ * |g x|) (c₄ * |g x|)
u : ℝ
hu : u ∈ Set.Icc (b * x) x
⊢ c₃ * |g x| ≤ |g u|