mathlib-initiative/mathlib-tactics huggingface dataset:
Module: Mathlib.CategoryTheory.Presentable.Limits

Goal state before:
pp: C : Type u
inst✝⁴ : Category.{v, u} C
K : Type u'
inst✝³ : Category.{v', u'} K
F : K ⥤ C ⥤ Type w'
c : Cone F
hc : (Y : C) → IsLimit (((evaluation C (Type w')).obj Y).mapCone c)
κ : Cardinal.{w}
inst✝² : Fact κ.IsRegular
hK : HasCardinalLT (Arrow K) κ
J : Type w
inst✝¹ : SmallCategory J
inst✝ : IsCardinalFiltered J κ
X : J ⥤ C
cX : Cocone X
hF : (k : K) → IsColimit ((F.obj k).mapCocone cX)
x : c.pt.obj cX.pt
this : IsFiltered J
y : ↑(F ⋙ (evaluation C (Type w')).obj cX.pt).sections
hy : (Types.isLimitEquivSections (hc cX.pt)).symm y = x
H : ∀ (k : K), ∃ j y_1, (ConcreteCategory.hom (((F.obj k).mapCocone cX).ι.app j)) y_1 = ↑y k
j : K → J := fun k ↦ ⋯.choose
z : (k : K) → (F.obj k).obj (X.obj (j k)) := fun k ↦ ⋯.choose
hz : ∀ (k : K), (ConcreteCategory.hom ((F.obj k).map (cX.ι.app (j k)))) (z k) = ↑y k
k : K
⊢ (ConcreteCategory.hom ((F.obj k).map (cX.ι.app (j k)))) (z k) =
    (ConcreteCategory.hom ((F.obj k).map (cX.ι.app (IsCardinalFiltered.max j ⋯))))
      ((fun k ↦ (ConcreteCategory.hom ((F.obj k).map (X.map (IsCardinalFiltered.toMax j ⋯ k)))) (z k)) k)

Tactic:
← comp_apply,

Goal state after:
C : Type u
inst✝⁴ : Category.{v, u} C
K : Type u'
inst✝³ : Category.{v', u'} K
F : K ⥤ C ⥤ Type w'
c : Cone F
hc : (Y : C) → IsLimit (((evaluation C (Type w')).obj Y).mapCone c)
κ : Cardinal.{w}
inst✝² : Fact κ.IsRegular
hK : HasCardinalLT (Arrow K) κ
J : Type w
inst✝¹ : SmallCategory J
inst✝ : IsCardinalFiltered J κ
X : J ⥤ C
cX : Cocone X
hF : (k : K) → IsColimit ((F.obj k).mapCocone cX)
x : c.pt.obj cX.pt
this : IsFiltered J
y : ↑(F ⋙ (evaluation C (Type w')).obj cX.pt).sections
hy : (Types.isLimitEquivSections (hc cX.pt)).symm y = x
H : ∀ (k : K), ∃ j y_1, (ConcreteCategory.hom (((F.obj k).mapCocone cX).ι.app j)) y_1 = ↑y k
j : K → J := fun k ↦ ⋯.choose
z : (k : K) → (F.obj k).obj (X.obj (j k)) := fun k ↦ ⋯.choose
hz : ∀ (k : K), (ConcreteCategory.hom ((F.obj k).map (cX.ι.app (j k)))) (z k) = ↑y k
k : K
⊢ (ConcreteCategory.hom ((F.obj k).map (cX.ι.app (j k)))) (z k) =
    (ConcreteCategory.hom
        ((F.obj k).map (X.map (IsCardinalFiltered.toMax j ⋯ k)) ≫
          (F.obj k).map (cX.ι.app (IsCardinalFiltered.max j ⋯))))
      (z k)
Module: Mathlib.CategoryTheory.Presentable.StrongGenerator

Goal state before:
pp: case zero
C : Type u
inst✝⁴ : Category.{v, u} C
κ : Cardinal.{w}
inst✝³ : Fact κ.IsRegular
inst✝² : HasColimitsOfSize.{w, w, v, u} C
inst✝¹ : LocallySmall.{w, v, u} C
P : ObjectProperty C
inst✝ : ObjectProperty.Small.{w, v, u} P
hS₁ : P.IsStrongGenerator
hS₂ : P ≤ isCardinalPresentable C κ
X : C
E : (P.colimitsCardinalClosure κ).ι.LeftExtension (P.colimitsCardinalClosure κ).ι :=
  Functor.LeftExtension.mk (𝟭 C) (P.colimitsCardinalClosure κ).ι.rightUnitor.inv
this✝¹ : HasColimitsOfShape (CostructuredArrow (P.colimitsCardinalClosure κ).ι X) C
Φ : CostructuredArrow (P.colimitsCardinalClosure κ).ι X ⥤ C :=
  CostructuredArrow.proj (P.colimitsCardinalClosure κ).ι X ⋙ (P.colimitsCardinalClosure κ).ι
G : C
hG : P G
this✝ : IsCardinalPresentable G κ
j : CostructuredArrow (P.colimitsCardinalClosure κ).ι X
φ₁ φ₂ : G ⟶ Φ.obj j
h : (φ₁ ≫ colimit.ι Φ j) ≫ colimit.desc Φ (E.coconeAt X) = (φ₂ ≫ colimit.ι Φ j) ≫ colimit.desc Φ (E.coconeAt X)
this : (P.colimitsCardinalClosure κ).IsClosedUnderColimitsOfShape WalkingParallelPair
⊢ P.colimitsCardinalClosure κ ((parallelPair φ₁ φ₂).obj WalkingParallelPair.zero)

Tactic:
exact P.le_colimitsCardinalClosure _ _ hG

Goal state after:
Module: Mathlib.AlgebraicTopology.SimplicialSet.AnodyneExtensions.UnionProd

Goal state before:
pp: m : ℕ
k : Fin (m + 1)
n : ℕ
x : (Λ[m + 1, k.castSucc].unionProd ∂Δ[n]).N
hx : IsType₂ x
d : ℕ
hd : x.dim = d
h : hx.simplex hd ∈ (Λ[m + 1, k.castSucc].unionProd ∂Δ[n]).obj (Opposite.op ⦋d + 1⦌)
⊢ (ConcreteCategory.hom (SimplicialObject.δ (Δ[m + 1] ⊗ Δ[n]) (min x hd).castSucc)) (hx.simplex hd) ∈
    (Λ[m + 1, k.castSucc].unionProd ∂Δ[n]).obj (Opposite.op ⦋(x.cast hd).dim⦌)

Tactic:
exact (Subcomplex.unionProd.{u} Λ[m + 1, k.castSucc] ∂Δ[n]).map
    (SimplexCategory.δ (min x hd).castSucc).op h

Goal state after:
Module: Mathlib.AlgebraicTopology.SimplicialSet.CoherentIso

Goal state before:
pp: C : Type u
inst✝ : Category.{v, u} C
F : WalkingIso ⥤ C
⊢ ∀ (X : WalkingIso), ((fun p ↦ fromIso p.snd.snd) ((fun F ↦ ⟨F.obj zero, ⟨F.obj one, toIso F⟩⟩) F)).obj X = F.obj X

Tactic:
by rintro (_ | _) <;> rfl

Goal state after:
Module: Mathlib.AlgebraicTopology.SimplicialSet.AnodyneExtensions.UnionProd

Goal state before:
pp: case pos
m✝ : ℕ
k✝ : Fin (m✝ + 1)
n✝ : ℕ
x✝ : (Λ[m✝ + 1, k✝.castSucc].unionProd ∂Δ[n✝]).N
d✝ m : ℕ
k : Fin (m + 1)
n : ℕ
x : (Λ[m + 1, k.castSucc].unionProd ∂Δ[n]).N
hx : IsType₂ x
d : ℕ
hd : x.dim = d
⊢ x.toS =
    { dim := (hx.type₁ hd).d,
      simplex :=
        (ConcreteCategory.hom (SimplicialObject.δ (Δ[m + 1] ⊗ Δ[n]) (hx.type₁ hd).index.castSucc))
          ((hx.type₁ hd).x.cast ⋯).simplex }

Tactic:
rw [S.ext_iff']

Goal state after:
case pos
m✝ : ℕ
k✝ : Fin (m✝ + 1)
n✝ : ℕ
x✝ : (Λ[m✝ + 1, k✝.castSucc].unionProd ∂Δ[n✝]).N
d✝ m : ℕ
k : Fin (m + 1)
n : ℕ
x : (Λ[m + 1, k.castSucc].unionProd ∂Δ[n]).N
hx : IsType₂ x
d : ℕ
hd : x.dim = d
⊢ ∃ (h :
    x.dim =
      { dim := (hx.type₁ hd).d,
          simplex :=
            (ConcreteCategory.hom (SimplicialObject.δ (Δ[m + 1] ⊗ Δ[n]) (hx.type₁ hd).index.castSucc))
              ((hx.type₁ hd).x.cast ⋯).simplex }.dim),
    (x.cast h).simplex =
      { dim := (hx.type₁ hd).d,
          simplex :=
            (ConcreteCategory.hom (SimplicialObject.δ (Δ[m + 1] ⊗ Δ[n]) (hx.type₁ hd).index.castSucc))
              ((hx.type₁ hd).x.cast ⋯).simplex }.simplex
Module: Mathlib.AlgebraicTopology.SimplicialSet.AnodyneExtensions.UnionProd

Goal state before:
pp: case neg.succ
m✝ : ℕ
k✝ : Fin (m✝ + 1)
n✝ : ℕ
x✝ : (Λ[m✝ + 1, k✝.castSucc].unionProd ∂Δ[n✝]).N
d✝ m : ℕ
k : Fin (m + 1)
n : ℕ
x : (Λ[m + 1, k.castSucc].unionProd ∂Δ[n]).N
d : ℕ
hd : x.dim = d + 1
i : Fin (d + 1)
hx : IsIndex x ⋯ i.succ
⊢ x.toS = { dim := d + 1, simplex := (x.cast ⋯).simplex }

Tactic:
rw [S.ext_iff']

Goal state after:
case neg.succ
m✝ : ℕ
k✝ : Fin (m✝ + 1)
n✝ : ℕ
x✝ : (Λ[m✝ + 1, k✝.castSucc].unionProd ∂Δ[n✝]).N
d✝ m : ℕ
k : Fin (m + 1)
n : ℕ
x : (Λ[m + 1, k.castSucc].unionProd ∂Δ[n]).N
d : ℕ
hd : x.dim = d + 1
i : Fin (d + 1)
hx : IsIndex x ⋯ i.succ
⊢ ∃ (h : x.dim = { dim := d + 1, simplex := (x.cast ⋯).simplex }.dim),
    (x.cast h).simplex = { dim := d + 1, simplex := (x.cast ⋯).simplex }.simplex
Module: Mathlib.AlgebraicTopology.SimplicialSet.Homology.HomologyZero

Goal state before:
pp: C : Type u
inst✝² : Category.{v, u} C
inst✝¹ : HasCoproducts C
inst✝ : Preadditive C
X : SSet
R : C
n : ℕ
hn : n ≠ 1
⊢ ¬(ComplexShape.down ℕ).Rel n 0

Tactic:
simp; lia

Goal state after:
Module: Mathlib.AlgebraicTopology.SimplicialSet.Homology.Nondegenerate

Goal state before:
pp: C : Type u
inst✝² : Category.{v, u} C
inst✝¹ : HasCoproducts C
inst✝ : Preadditive C
X : SSet
R : C
n : ℕ
x : X _⦋n⦌
hx : x ∈ X.nonDegenerate n
⊢ Sigma.ι (fun x ↦ R) x ≫ (X.toNormalizedChainComplex R).f n = Sigma.ι (fun x ↦ R) ⟨x, hx⟩

Tactic:
rw [← cancel_mono ((X.fromNormalizedChainComplex R).f n), Category.assoc,
    toNormalizedChainComplex_f_fromNormalizedChainComplex_f]

Goal state after:
C : Type u
inst✝² : Category.{v, u} C
inst✝¹ : HasCoproducts C
inst✝ : Preadditive C
X : SSet
R : C
n : ℕ
x : X _⦋n⦌
hx : x ∈ X.nonDegenerate n
⊢ Sigma.ι (fun x ↦ R) x ≫ PInfty.f n = Sigma.ι (fun x ↦ R) ⟨x, hx⟩ ≫ (X.fromNormalizedChainComplex R).f n
Module: Mathlib.AlgebraicTopology.SimplicialSet.Homology.Nondegenerate

Goal state before:
pp: C : Type u
inst✝⁴ : Category.{v, u} C
inst✝³ : HasCoproducts C
inst✝² : Preadditive C
X : SSet
R : C
inst✝¹ : CategoryWithHomology C
n d : ℕ
inst✝ : X.HasDimensionLT d
h : d ≤ n
⊢ ExactAt (X.chainComplex R) n

Tactic:
by
  rw [exactAt_iff_of_quasiIsoAt (X.toNormalizedChainComplex R)]
  exact .of_isZero (X.isZero_normalizedChainComplex_X_of_hasDimensionLT R n d)

Goal state after:
Module: Mathlib.AlgebraicTopology.SimplicialSet.KanComplex.MulStruct

Goal state before:
pp: case succ
X : SSet
x : X _⦋0⦌
n : ℕ
g : X.PtSimplex (n + 1) x
⊢ ∂Δ[n + 1].ι ≫ yonedaEquiv.symm (opObjEquiv.symm (yonedaEquiv g.map)) =
    const ⟨opObjEquiv.symm x, ⋯⟩ ≫ (Subcomplex.ofSimplex (opObjEquiv.symm x)).ι

Tactic:
· refine boundary.hom_ext (fun i ↦ ?_)
          simp [stdSimplex.δ_comp_yonedaEquiv_symm, op_δ,
            ← stdSimplex.yonedaEquiv_δ_comp,
            opObjEquiv_symm_yonedaEquiv_const]

Goal state after:
Module: Mathlib.AlgebraicTopology.SingularHomology.Basic

Goal state before:
pp: C : Type u
inst✝³ : Category.{v, u} C
inst✝² : HasCoproducts C
inst✝¹ : Preadditive C
n : ℕ
inst✝ : HasPullbacks C
X : C
X✝ Y✝ : TopCat
f : X✝ ⟶ Y✝
x✝ : Mono f
⊢ Mono (((singularChainComplexFunctor C).obj X).map f)

Tactic:
dsimp [singularChainComplexFunctor, SSet.chainComplexFunctor]

Goal state after:
C : Type u
inst✝³ : Category.{v, u} C
inst✝² : HasCoproducts C
inst✝¹ : Preadditive C
n : ℕ
inst✝ : HasPullbacks C
X : C
X✝ Y✝ : TopCat
f : X✝ ⟶ Y✝
x✝ : Mono f
⊢ Mono
    ((alternatingFaceMapComplex C).map
      (((SimplicialObject.whiskering (Type w) C).obj (sigmaConst.obj X)).map (TopCat.toSSet.map f)))
Module: Mathlib.Analysis.Calculus.InverseFunctionTheorem.ApproximatesLinearOn

Goal state before:
pp: 𝕜 : Type u_1
inst✝⁵ : NontriviallyNormedField 𝕜
E : Type u_2
inst✝⁴ : NormedAddCommGroup E
inst✝³ : NormedSpace 𝕜 E
F : Type u_3
inst✝² : NormedAddCommGroup F
inst✝¹ : NormedSpace 𝕜 F
f : E → F
inst✝ : CompleteSpace E
s : Set E
c : ℝ≥0
f' : E →L[𝕜] F
hf : ApproximatesLinearOn f f' s c
f'symm : f'.NonlinearRightInverse
ε : ℝ
b : E
ε0 : 0 ≤ ε
hε : closedBall b ε ⊆ s
y : F
hy : y ∈ closedBall (f b) (((↑f'symm.nnnorm)⁻¹ - ↑c) * ε)
hc : ↑c < (↑f'symm.nnnorm)⁻¹
If' : 0 < ↑f'symm.nnnorm
Icf' : ↑c * ↑f'symm.nnnorm < 1
Jcf' : 1 - ↑c * ↑f'symm.nnnorm ≠ 0
g : E → E := fun x ↦ x + f'symm.toFun (y - f x)
hg : g = fun x ↦ x + f'symm.toFun (y - f x)
u : ℕ → E := fun n ↦ g^[n] b
hu : u = fun n ↦ g^[n] b
usucc : ∀ (n : ℕ), u (n + 1) = g (u n)
A : ∀ (z : E), dist (g z) z ≤ ↑f'symm.nnnorm * dist (f z) y
z : E
hz : z ∈ closedBall b ε
hgz : g z ∈ closedBall b ε
v : E := f'symm.toFun (y - f z)
⊢ dist (f (g z)) y ≤ ↑c * ↑f'symm.nnnorm * dist (f z) y

Tactic:
calc
      dist (f (g z)) y = ‖f (z + v) - y‖ := by rw [dist_eq_norm]
      _ = ‖f (z + v) - f z - f' v + f' v - (y - f z)‖ := by congr 1; abel
      _ = ‖f (z + v) - f z - f' (z + v - z)‖ := by
        simp only [v, ContinuousLinearMap.NonlinearRightInverse.right_inv, add_sub_cancel_left,
          sub_add_cancel]
      _ ≤ c * ‖z + v - z‖ := hf _ (hε hgz) _ (hε hz)
      _ ≤ c * (f'symm.nnnorm * dist (f z) y) := by
        gcongr
        simpa [dist_eq_norm'] using f'symm.bound (y - f z)
      _ = c * f'symm.nnnorm * dist (f z) y := by ring

Goal state after:
Module: Mathlib.Analysis.Analytic.Order

Goal state before:
pp: 𝕜 : Type u_1
E : Type u_2
inst✝² : NontriviallyNormedField 𝕜
inst✝¹ : NormedAddCommGroup E
inst✝ : NormedSpace 𝕜 E
f : 𝕜 → E
z₀ : 𝕜
hf : (if hf : AnalyticAt 𝕜 f z₀ then if h : ∀ᶠ (z : 𝕜) in 𝓝 z₀, f z = 0 then ⊤ else ↑⋯.choose else 0) = ⊤
⊢ ∀ᶠ (z : 𝕜) in 𝓝 z₀, f z = 0

Tactic:
split_ifs at hf with h <;> simp [*] at *

Goal state after:
Module: Mathlib.Analysis.Analytic.Order

Goal state before:
pp: 𝕜 : Type u_1
E : Type u_2
inst✝² : NontriviallyNormedField 𝕜
inst✝¹ : NormedAddCommGroup E
inst✝ : NormedSpace 𝕜 E
f : 𝕜 → E
n : ℕ
z₀ : 𝕜
hf : AnalyticAt 𝕜 f z₀
⊢ analyticOrderAt f z₀ = ↑n ↔ ∃ g, AnalyticAt 𝕜 g z₀ ∧ g z₀ ≠ 0 ∧ ∀ᶠ (z : 𝕜) in 𝓝 z₀, f z = (z - z₀) ^ n • g z

Tactic:
unfold analyticOrderAt
  split_ifs with h
  · simp only [ENat.top_ne_natCast, false_iff]
    contrapose h
    rw [← hf.exists_eventuallyEq_pow_smul_nonzero_iff]
    exact ⟨n, h⟩
  · rw [← hf.exists_eventuallyEq_pow_smul_nonzero_iff] at h
    refine ⟨fun hn ↦ (WithTop.coe_inj.mp hn : h.choose = n) ▸ h.choose_spec, fun h' ↦ ?_⟩
    rw [AnalyticAt.unique_eventuallyEq_pow_smul_nonzero h.choose_spec h']

Goal state after:
Module: Mathlib.RingTheory.Binomial

Goal state before:
pp: R : Type u_2
inst✝³ : NonAssocSemiring R
inst✝² : Pow R ℕ
inst✝¹ : NatPowAssoc R
inst✝ : BinomialRing R
k : ℕ
⊢ multichoose 0 (k + 1) = 0

Tactic:
rw [← nsmul_right_inj (Nat.factorial_ne_zero (k + 1)),
    factorial_nsmul_multichoose_eq_ascPochhammer, smul_zero, ascPochhammer_succ_left,
    smeval_X_mul, zero_mul]

Goal state after:
Module: Mathlib.Analysis.Meromorphic.Basic

Goal state before:
pp: 𝕜 : Type u_1
inst✝³ : NontriviallyNormedField 𝕜
E : Type u_3
inst✝² : NormedAddCommGroup E
inst✝¹ : NormedSpace 𝕜 E
inst✝ : CompleteSpace E
f : 𝕜 → E
x : 𝕜
n : ℤ
g : 𝕜 → E
h₁g : AnalyticAt 𝕜 g x
h₂g : ∀ᶠ (z : 𝕜) in 𝓝[≠] x, f z = (z - x) ^ n • g z
⊢ (deriv fun z ↦ (z - x) ^ n • g z) =ᶠ[𝓝[≠] x] fun z ↦ (↑n * (z - x) ^ (n - 1)) • g z + (z - x) ^ n • deriv g z

Tactic:
filter_upwards [eventually_nhdsWithin_of_eventually_nhds h₁g.eventually_analyticAt,
      eventually_nhdsWithin_of_forall fun _ a ↦ a] with z₀ h₁ h₂

Goal state after:
𝕜 : Type u_1
inst✝³ : NontriviallyNormedField 𝕜
E : Type u_3
inst✝² : NormedAddCommGroup E
inst✝¹ : NormedSpace 𝕜 E
inst✝ : CompleteSpace E
f : 𝕜 → E
x : 𝕜
n : ℤ
g : 𝕜 → E
h₁g : AnalyticAt 𝕜 g x
h₂g : ∀ᶠ (z : 𝕜) in 𝓝[≠] x, f z = (z - x) ^ n • g z
z₀ : 𝕜
h₁ : AnalyticAt 𝕜 g z₀
h₂ : z₀ ∈ {x}ᶜ
⊢ deriv (fun z ↦ (z - x) ^ n • g z) z₀ = (↑n * (z₀ - x) ^ (n - 1)) • g z₀ + (z₀ - x) ^ n • deriv g z₀
Module: Mathlib.Analysis.Calculus.FDeriv.Extend

Goal state before:
pp: E : Type u_1
inst✝³ : NormedAddCommGroup E
inst✝² : NormedSpace ℝ E
F : Type u_2
inst✝¹ : NormedAddCommGroup F
inst✝ : NormedSpace ℝ F
f : E → F
s : Set E
x : E
f' : E →L[ℝ] F
f_diff : DifferentiableOn ℝ f s
s_conv : Convex ℝ s
s_open : IsOpen[PseudoMetricSpace.toUniformSpace.toTopologicalSpace] s
f_cont : ∀ y ∈ closure[PseudoMetricSpace.toUniformSpace.toTopologicalSpace] s, ContinuousWithinAt f s y
h : Tendsto (fun y ↦ fderiv ℝ f y) (𝓝[s] x) (𝓝 f')
hx : x ∈ closure[PseudoMetricSpace.toUniformSpace.toTopologicalSpace] s
ε : ℝ
ε_pos : 0 < ε
δ : ℝ
δ_pos : δ > 0
hδ : ∀ y ∈ s, dist y x < δ → ‖fderiv ℝ f y - f'‖ < ε
B : Set E := ball x δ
key : ∀ p ∈ (B ∩ s) ×ˢ (B ∩ s), ‖f p.2 - f p.1 - (f' p.2 - f' p.1)‖ ≤ ε * ‖p.2 - p.1‖
u v : E
uv_in : (u, v) ∈ closure[instTopologicalSpaceProd] ((B ∩ s) ×ˢ (B ∩ s))
f_cont' : ∀ y ∈ closure[PseudoMetricSpace.toUniformSpace.toTopologicalSpace] s, ContinuousWithinAt (f - ⇑f') s y
this : (B ∩ s) ×ˢ (B ∩ s) ⊆ s ×ˢ s
u_in : u ∈ closure[PseudoMetricSpace.toUniformSpace.toTopologicalSpace] s
v_in : v ∈ closure[PseudoMetricSpace.toUniformSpace.toTopologicalSpace] s
⊢ Tendsto (fun y ↦ ε * ‖y.2 - y.1‖) (𝓝[s ×ˢ s] (u, v)) (𝓝 (ε * ‖v - u‖))

Tactic:
apply tendsto_nhdsWithin_of_tendsto_nhds

Goal state after:
E : Type u_1
inst✝³ : NormedAddCommGroup E
inst✝² : NormedSpace ℝ E
F : Type u_2
inst✝¹ : NormedAddCommGroup F
inst✝ : NormedSpace ℝ F
f : E → F
s : Set E
x : E
f' : E →L[ℝ] F
f_diff : DifferentiableOn ℝ f s
s_conv : Convex ℝ s
s_open : IsOpen[PseudoMetricSpace.toUniformSpace.toTopologicalSpace] s
f_cont : ∀ y ∈ closure[PseudoMetricSpace.toUniformSpace.toTopologicalSpace] s, ContinuousWithinAt f s y
h : Tendsto (fun y ↦ fderiv ℝ f y) (𝓝[s] x) (𝓝 f')
hx : x ∈ closure[PseudoMetricSpace.toUniformSpace.toTopologicalSpace] s
ε : ℝ
ε_pos : 0 < ε
δ : ℝ
δ_pos : δ > 0
hδ : ∀ y ∈ s, dist y x < δ → ‖fderiv ℝ f y - f'‖ < ε
B : Set E := ⋯
key : ∀ p ∈ (B ∩ s) ×ˢ (B ∩ s), ‖f p.2 - f p.1 - (f' p.2 - f' p.1)‖ ≤ ε * ‖p.2 - p.1‖
u v : E
uv_in : (u, v) ∈ closure[instTopologicalSpaceProd] ((B ∩ s) ×ˢ (B ∩ s))
f_cont' : ∀ y ∈ closure[PseudoMetricSpace.toUniformSpace.toTopologicalSpace] s, ContinuousWithinAt (f - ⇑f') s y
this : (B ∩ s) ×ˢ (B ∩ s) ⊆ s ×ˢ s
u_in : u ∈ closure[PseudoMetricSpace.toUniformSpace.toTopologicalSpace] s
v_in : v ∈ closure[PseudoMetricSpace.toUniformSpace.toTopologicalSpace] s
⊢ Tendsto (fun y ↦ ε * ‖y.2 - y.1‖) (𝓝 (u, v)) (𝓝 (ε * ‖v - u‖))
Module: Mathlib.Analysis.SpecialFunctions.Pow.Deriv

Goal state before:
pp: case e'_9
x : ℝ
hx✝ : x ≠ 0
r : ℂ
hr : r + 1 ≠ 0
hx : 0 < x
⊢ ↑x ^ r = ?inl.convert_3 / (r + 1)

Tactic:
exact (mul_div_cancel_right₀ _ hr).symm

Goal state after:
Module: Mathlib.Analysis.Analytic.Binomial

Goal state before:
pp: a : ℂ
n : ℕ
B : Set ℂ := Metric.ball 0 1
this : iteratedDerivWithin n (fun x ↦ (1 + x) ^ a) B 0 = (fun x ↦ (descPochhammer ℤ n).smeval a * (1 + x) ^ (a - ↑n)) 0
⊢ (descPochhammer ℤ n).smeval a = iteratedDeriv n (fun x ↦ (1 + x) ^ a) 0

Tactic:
rw [iteratedDerivWithin_of_isOpen Metric.isOpen_ball (by simp)] at this

Goal state after:
a : ℂ
n : ℕ
B : Set ℂ := Metric.ball 0 1
this : iteratedDeriv n (fun x ↦ (1 + x) ^ a) 0 = (fun x ↦ (descPochhammer ℤ n).smeval a * (1 + x) ^ (a - ↑n)) 0
⊢ (descPochhammer ℤ n).smeval a = iteratedDeriv n (fun x ↦ (1 + x) ^ a) 0
Module: Mathlib.Analysis.Analytic.Binomial

Goal state before:
pp: case e.e'_10
w x : ℂ
hw : w ≠ x
⊢ (FormalMultilinearSeries.ofScalars ℂ fun i ↦ Nat.casesOn i (w ^ (-2)) 0) =
    constFormalMultilinearSeries ℂ ℂ (1 / w ^ 2)

Tactic:
ext (_ | _)

Goal state after:
case e.e'_10.zero
w x : ℂ
hw : w ≠ x
⊢ ((FormalMultilinearSeries.ofScalars ℂ (fun i ↦ Nat.casesOn i (w ^ (-2)) 0) 0) fun x ↦ 1) =
    (constFormalMultilinearSeries ℂ ℂ (1 / w ^ 2) 0) fun x ↦ 1

case e.e'_10.succ
w x : ℂ
hw : w ≠ x
n✝ : ℕ
⊢ ((FormalMultilinearSeries.ofScalars ℂ (fun i ↦ Nat.casesOn i (w ^ (-2)) 0) (n✝ + 1)) fun x ↦ 1) =
    (constFormalMultilinearSeries ℂ ℂ (1 / w ^ 2) (n✝ + 1)) fun x ↦ 1
Module: Mathlib.Analysis.Analytic.Binomial

Goal state before:
pp: ⊢ HasFPowerSeriesOnBall (fun x ↦ 1 / (1 - x) ^ 2) (FormalMultilinearSeries.ofScalars ℝ fun n ↦ ↑n + 1) 0 1

Tactic:
simpa using one_div_sub_sq_hasFPowerSeriesOnBall_zero (r := 1)

Goal state after:
Module: Mathlib.Analysis.Analytic.IteratedFDeriv

Goal state before:
pp: 𝕜 : Type u_1
inst✝⁴ : NontriviallyNormedField 𝕜
E : Type u_2
inst✝³ : NormedAddCommGroup E
inst✝² : NormedSpace 𝕜 E
F : Type u_3
inst✝¹ : NormedAddCommGroup F
inst✝ : NormedSpace 𝕜 F
f : E → F
p : FormalMultilinearSeries 𝕜 E F
s : Set E
x : E
r : ℝ≥0∞
h : HasFPowerSeriesWithinOnBall f p s x r
h' : AnalyticOn 𝕜 f s
hs : UniqueDiffOn 𝕜 s
hx : x ∈ s
n : ℕ
v : Fin n → E
⊢ (iteratedFDerivWithin 𝕜 n f s x) v = ∑ σ, (p n) fun i ↦ v (σ i)

Tactic:
have : iteratedFDerivWithin 𝕜 n f s x
      = iteratedFDerivWithin 𝕜 n f (s ∩ Metric.eball x r) x :=
    (iteratedFDerivWithin_inter_open Metric.isOpen_eball (Metric.mem_eball_self h.r_pos)).symm

Goal state after:
𝕜 : Type u_1
inst✝⁴ : NontriviallyNormedField 𝕜
E : Type u_2
inst✝³ : NormedAddCommGroup E
inst✝² : NormedSpace 𝕜 E
F : Type u_3
inst✝¹ : NormedAddCommGroup F
inst✝ : NormedSpace 𝕜 F
f : E → F
p : FormalMultilinearSeries 𝕜 E F
s : Set E
x : E
r : ℝ≥0∞
h : HasFPowerSeriesWithinOnBall f p s x r
h' : AnalyticOn 𝕜 f s
hs : UniqueDiffOn 𝕜 s
hx : x ∈ s
n : ℕ
v : Fin n → E
this : iteratedFDerivWithin 𝕜 n f s x = iteratedFDerivWithin 𝕜 n f (s ∩ Metric.eball x r) x
⊢ (iteratedFDerivWithin 𝕜 n f s x) v = ∑ σ, (p n) fun i ↦ v (σ i)
Module: Mathlib.Analysis.Analytic.IteratedFDeriv

Goal state before:
pp: 𝕜 : Type u_1
inst✝⁵ : NontriviallyNormedField 𝕜
E : Type u_2
inst✝⁴ : NormedAddCommGroup E
inst✝³ : NormedSpace 𝕜 E
F : Type u_3
inst✝² : NormedAddCommGroup F
inst✝¹ : NormedSpace 𝕜 F
f : E → F
p : FormalMultilinearSeries 𝕜 E F
s : Set E
x : E
r : ℝ≥0∞
inst✝ : CompleteSpace F
h : HasFPowerSeriesWithinOnBall f p s x r
hs : UniqueDiffOn 𝕜 s
hx : x ∈ s
n : ℕ
v : Fin n → E
⊢ (iteratedFDerivWithin 𝕜 n f s x) v = ∑ σ, (p n) fun i ↦ v (σ i)

Tactic:
have : iteratedFDerivWithin 𝕜 n f s x
      = iteratedFDerivWithin 𝕜 n f (s ∩ Metric.eball x r) x :=
    (iteratedFDerivWithin_inter_open Metric.isOpen_eball (Metric.mem_eball_self h.r_pos)).symm

Goal state after:
𝕜 : Type u_1
inst✝⁵ : NontriviallyNormedField 𝕜
E : Type u_2
inst✝⁴ : NormedAddCommGroup E
inst✝³ : NormedSpace 𝕜 E
F : Type u_3
inst✝² : NormedAddCommGroup F
inst✝¹ : NormedSpace 𝕜 F
f : E → F
p : FormalMultilinearSeries 𝕜 E F
s : Set E
x : E
r : ℝ≥0∞
inst✝ : CompleteSpace F
h : HasFPowerSeriesWithinOnBall f p s x r
hs : UniqueDiffOn 𝕜 s
hx : x ∈ s
n : ℕ
v : Fin n → E
this : iteratedFDerivWithin 𝕜 n f s x = iteratedFDerivWithin 𝕜 n f (s ∩ Metric.eball x r) x
⊢ (iteratedFDerivWithin 𝕜 n f s x) v = ∑ σ, (p n) fun i ↦ v (σ i)
Module: Mathlib.Topology.MetricSpace.Cover

Goal state before:
pp: X : Type u_1
Y : Type u_2
inst✝¹ : PseudoEMetricSpace X
inst✝ : PseudoEMetricSpace Y
f : X → Y
s N : Set X
ε K₂ : ℝ≥0
hs : IsCover ε s N
hf : LipschitzWith K₂ f
⊢ IsCover (K₂ * ε) (f '' s) (f '' N)

Tactic:
rintro _ ⟨x, hx, rfl⟩

Goal state after:
X : Type u_1
Y : Type u_2
inst✝¹ : PseudoEMetricSpace X
inst✝ : PseudoEMetricSpace Y
f : X → Y
s N : Set X
ε K₂ : ℝ≥0
hs : IsCover ε s N
hf : LipschitzWith K₂ f
x : X
hx : x ∈ s
⊢ ∃ y ∈ f '' N, (f x, y) ∈ {(x, y) | edist x y ≤ ↑(K₂ * ε)}
Module: Mathlib.Analysis.SpecialFunctions.Log.ENNRealLog

Goal state before:
pp: case inl.inr.inl
y : ℝ
y_neg : y < 0
⊢ (∞ ^ y).log = ↑y * ∞.log

Tactic:
rw [ENNReal.top_rpow_of_neg y_neg, log_zero, log_top, EReal.coe_mul_top_of_neg y_neg]

Goal state after:
Module: Mathlib.Analysis.Asymptotics.SuperpolynomialDecay

Goal state before:
pp: α : Type u_1
β : Type u_2
l : Filter α
k f g : α → β
inst✝² : TopologicalSpace β
inst✝¹ : CommSemiring β
inst✝ : ContinuousAdd β
hf : SuperpolynomialDecay l k f
hg : SuperpolynomialDecay l k g
z : ℕ
⊢ Tendsto (fun a ↦ k a ^ z * (f + g) a) l (𝓝 0)

Tactic:
simpa only [mul_add, add_zero, Pi.add_apply] using (hf z).add (hg z)

Goal state after:
Module: Mathlib.Analysis.Asymptotics.ExpGrowth

Goal state before:
pp: ⊢ expGrowthInf ⊤ = linearGrowthInf ⊤

Tactic:
expGrowthInf_def

Goal state after:
⊢ linearGrowthInf (log ∘ ⊤) = linearGrowthInf ⊤
Module: Mathlib.MeasureTheory.Covering.Vitali

Goal state before:
pp: case inr
α : Type u_1
ι : Type u_2
B : ι → Set α
t : Set ι
δ : ι → ℝ
τ : ℝ
hτ : 1 < τ
δnonneg : ∀ a ∈ t, 0 ≤ δ a
R : ℝ
δle : ∀ a ∈ t, δ a ≤ R
hne : ∀ a ∈ t, (B a).Nonempty
T : Set (Set ι) :=
  {u |
    u ⊆ t ∧
      u.PairwiseDisjoint B ∧ ∀ a ∈ t, ∀ b ∈ u, (B a ∩ B b).Nonempty → ∃ c ∈ u, (B a ∩ B c).Nonempty ∧ δ a ≤ τ * δ c}
u : Set ι
hu : Maximal (fun x ↦ x ∈ T) u
a : ι
hat : a ∈ t
hcon : ∀ b ∈ u, (B a ∩ B b).Nonempty → τ * δ b < δ a
a_disj : ∀ c ∈ u, Disjoint (B a) (B c)
A : Set ι := {a' | a' ∈ t ∧ ∀ c ∈ u, Disjoint (B a') (B c)}
Anonempty : A.Nonempty
m : ℝ := sSup (δ '' A)
bddA : BddAbove (δ '' A)
this : 0 ≤ m
mpos : 0 < m
⊢ ∃ a' ∈ A, m / τ ≤ δ a'

Tactic:
have I : m / τ < m := by
        rw [div_lt_iff₀ (zero_lt_one.trans hτ)]
        conv_lhs => rw [← mul_one m]
        gcongr
      rcases exists_lt_of_lt_csSup (Anonempty.image _) I with ⟨x, xA, hx⟩
      rcases (mem_image _ _ _).1 xA with ⟨a', ha', rfl⟩
      exact ⟨a', ha', hx.le⟩

Goal state after:
Module: Mathlib.MeasureTheory.Integral.Average

Goal state before:
pp: case pos
α : Type u_1
m0 : MeasurableSpace α
μ : Measure α
s : Set α
f : α → ℝ≥0∞
hμ : IsFiniteMeasure (μ.restrict s)
hμ0 : μ s = 0
⊢ ∫⁻ (x : α), f x ∂((μ.restrict s) univ)⁻¹ • μ.restrict s ≤ essSup f μ

Tactic:
← setLIntegral_univ

Goal state after:
case pos
α : Type u_1
m0 : MeasurableSpace α
μ : Measure α
s : Set α
f : α → ℝ≥0∞
hμ : IsFiniteMeasure (μ.restrict s)
hμ0 : μ s = 0
⊢ ∫⁻ (x : α) in univ, f x ∂((μ.restrict s) univ)⁻¹ • μ.restrict s ≤ essSup f μ