Array1[微分積分, 線形代数, コンピュータ, 情報, 理系基礎, ディジタル, 電磁気学, 力学, 基礎, 数理, フーリエ, プログラミング, null] Array2[及び演習, 演習, 数学, 入門, アーキテクチャ, 理論, 回路, 化学, 工学, 解析, null] Array3[I, II, III, IV, 応用, 特論, 結合論, 概論, null]

Excel。 HSTACK関数 読み方： エイチスタック　　 分類： 検索/行列 HSTACK(array1,[array3],…) 水平方向に配列を2つの配列に積み重ね（スタック）する　 #Excel #関数

const array1 = []; const array2 = []; const アラーイさーん = [];

Mari kita bahas: cell = A520:A1018 Formula: =HSTACK( IF( MOD(cell;2); cell &". TTD .........."; "" ); IF(cell;""); IF(MOD(cell;2)=0;cell&". TTD ..........";"")) 1. HSTACK berfungsi untuk menggabungkan beberapa array atau range secara horizontal menjadi satu tabel. Terdapat 3 array: • array1 untuk TTD nomer ganjil • array2 cell kosong • array3 TTD untuk nomer Genap 2. Array1 → IF( MOD(cell;2); cell &". TTD .........."; "" ) • MOD(cell;2): bilangan ketika dibagi 2 akan menyisakan 1 untuk bilangan ganjil dan 0 untuk genap, artinya formula hanya menampilkan data pada urutan ganjil (kerean 1 adalah TRUE dan 0 adalah FALSE). • cell &". TTD ..........": menggabungkan nomer ganjil dengan teks tambahan "TTD ………..". • IF(...; ...; "" ): jika FALSE, atau artunya bilangan genap akan menjadi string kosong. 3. Array2 → IF(cell;"") Karena cell berupa angka (semua angka selain 0 dianggap TRUE), maka semua isi cell akan menghasilkan "" (string kosong). 4. Array3 → IF( MOD(cell;2)=0; cell &". TTD .........."; "" ) Perbedaannya hanya di MOD(cell;2)=0, untuk membalik logika sehingga nilai 0 dianggap TRUE, artinya formula diterapkan pada urutan angka genap.

1 hour of downtime. 1 missed variable assignment. 1 very stressful talk with my lead. array1.concat(array2) returns a NEW array, folks. Don’t be like me. Don't deploy to prod at 5:59 PM. 💀

前提がindexとarray1要素のサイズが同じ事？

Look at all that heap allocation! corries\boundaryconditions\custom[.]rs: modes: Vec<(usize, CustomBoundaryMode)>, corries\boundaryconditions\custom[.]rs: /// * `modes` - Vector of pairs that pair up a [usize] equation index with a corries\boundaryconditions\custom[.]rs: modes: modes.to_vec(), corries\boundaryconditions\custom[.]rs: &Array2::from_shape_vec( corries\boundaryconditions\custom[.]rs: vec![ corries\boundaryconditions\custom[.]rs: let prim_expect = Array2::from_shape_vec( corries\boundaryconditions\custom[.]rs: vec![ corries\boundaryconditions\custom[.]rs: &Array2::from_shape_vec( corries\boundaryconditions\custom[.]rs: vec![ corries\boundaryconditions\custom[.]rs: let prim_expect = Array2::from_shape_vec( corries\boundaryconditions\custom[.]rs: vec![ corries\boundaryconditions\custom[.]rs: &Array2::from_shape_vec( corries\boundaryconditions\custom[.]rs: vec![ corries\boundaryconditions\custom[.]rs: let prim_expect = Array2::from_shape_vec( corries\boundaryconditions\custom[.]rs: vec![ corries\boundaryconditions\custom[.]rs: &Array2::from_shape_vec( corries\boundaryconditions\custom[.]rs: vec![ corries\boundaryconditions\custom[.]rs: let prim_expect = Array2::from_shape_vec( corries\boundaryconditions\custom[.]rs: vec![ corries\boundaryconditions\custom[.]rs: &Array2::from_shape_vec( corries\boundaryconditions\custom[.]rs: vec![ corries\boundaryconditions\custom[.]rs: let prim_expect = Array2::from_shape_vec( corries\boundaryconditions\custom[.]rs: vec![ corries\boundaryconditions\custom[.]rs: &Array2::from_shape_vec( corries\boundaryconditions\custom[.]rs: vec![ corries\boundaryconditions\custom[.]rs: let prim_expect = Array2::from_shape_vec( corries\boundaryconditions\custom[.]rs: vec![ corries\boundaryconditions[.]rs: .collect::<Vec<(usize, CustomBoundaryMode)>>(); corries\boundaryconditions[.]rs: .collect::<Vec<(usize, CustomBoundaryMode)>>(); corries\config\outputconfig[.]rs: /// Whether the `Output` converts its incoming data to a single [String] or a [`Vec<String>`] corries\config\outputconfig[.]rs: /// Whether to include ghost cells in vector data corries\config\outputconfig[.]rs: pub data_names: Vec<DataName>, corries\config\outputconfig[.]rs: Self::default_stdout_with_names(vec![DataName::Iter, DataName::T, DataName::Dt, DataName::DtKind]) corries\config\outputconfig[.]rs: /// * `data_names` - a vector of [DataName] objects that will be printed to stdout corries\config\outputconfig[.]rs: /// NOTE: `data_names` cannot contain identifiers for vector-like values, like corries\config\outputconfig[.]rs: /// let data_names = vec![DataName::Iter, DataName::T]; corries\config\outputconfig[.]rs: pub fn default_stdout_with_names(data_names: Vec<DataName>) -> Self { corries\config\outputconfig[.]rs: /// assert_eq!(stdout_config.string_conversion_mode, ToStringConversionMode::Vector); corries\config\outputconfig[.]rs: let mut data_names = vec![DataName::T, DataName::XiCent]; corries\config\outputconfig[.]rs: /// * `data_names` - a vector of `DataName` objects that will be printed to stdout corries\config\outputconfig[.]rs: /// let data_names = vec![DataName::Iter, DataName::T, DataName::Prim(0), DataName::Prim(1)]; corries\config\outputconfig[.]rs: /// assert_eq!(stdout_config.string_conversion_mode, ToStringConversionMode::Vector); corries\config\outputconfig[.]rs: pub fn default_file_with_names(folder_name: &str, file_name: &str, data_names: Vec<DataName>) -> Self { corries\config\outputconfig[.]rs: string_conversion_mode: ToStringConversionMode::Vector, corries\config\outputconfig[.]rs: name.data_type() != DataType::VectorFloat, corries\config\outputconfig[.]rs: "You cannot write vectors into an Output in Scalar mode! Got data_name = {:?}", corries\config\outputconfig[.]rs:/// Enumerates whether an `Output` writes scalar or vector values corries\config\outputconfig[.]rs: /// Writes vectors corries\config\outputconfig[.]rs: Vector, corries\config[.]rs: Custom(Vec<(usize, CustomBoundaryMode)>), corries\config[.]rs: pub writer_config: Vec<OutputConfig>, corries\config[.]rs: writer_config: vec![ corries\lib[.]rs://! coordinate vectors in [Mesh] are called xi_*, for example. corries\lib[.]rs://! // mode in the embedded vector. Check out the documentation for the [Physics] corries\lib[.]rs://! // vector. See `boundary_condition_east` to see how that would look like. corries\lib[.]rs://! boundary_condition_west: BoundaryMode::Custom(vec![ corries\lib[.]rs://! // This is a vector, where every entry is a instance of [OutputConfig], and each of these corries\lib[.]rs://! writer_config: vec![ corries\lib[.]rs://! // vec![DataName::Iter, DataName::T, DataName::Dt, DataName::DtKind] corries\lib[.]rs://! // Ignored for scalar output; for vector output, this sets whether to include the corries\lib[.]rs://! data_names: vec![DataName::Iter, DataName::T, DataName::Dt, DataName::DtKind], corries\lib[.]rs://! // vec![DataName::T, DataName::XiCent, DataName::Prim(0), DataName::Prim(1), DataName::Prim(2)], corries\lib[.]rs://! // Defines that the data is written as vectors. This allows the output to write corries\lib[.]rs://! // data like DataName::XiCent or DataName::Prim(n), which are vector-like values. corries\lib[.]rs://! string_conversion_mode: ToStringConversionMode::Vector, corries\lib[.]rs://! // Whether to include ghostcells when writing vector-like values. corries\lib[.]rs://! data_names: vec![ corries\lib[.]rs://! # writer_config: vec![ corries\lib[.]rs://! # writer_config: vec![ corries\mesh[.]rs:/// and special indexes like the first non-ghost-cell cell index, but also vectors containing the corries\mesh[.]rs: (StructAssociation::Mesh, DataName::XiCent) => self.write_vector(&self.xi_cent.view(), data, mesh_offset), corries\mesh[.]rs: (StructAssociation::Mesh, DataName::XiWest) => self.write_vector(&self.xi_west.view(), data, mesh_offset), corries\mesh[.]rs: (StructAssociation::Mesh, DataName::XiEast) => self.write_vector(&self.xi_east.view(), data, mesh_offset), corries\rhs\numflux\hll[.]rs: let dflux_dxi_prim_expect = Array2::from_shape_vec( corries\rhs\numflux\hll[.]rs: vec![ corries\rhs\numflux\kt[.]rs: let dflux_dxi_prim_expect = Array2::from_shape_vec( corries\rhs\numflux\kt[.]rs: vec![ corries\state\physics[.]rs: /// Returns a view to a vector of zeros if this value is not even a derived value for the corries\state\physics[.]rs: vars.zero_vec() corries\state\physics[.]rs: /// Returns a view to a vector of zeros if this value is not even a derived value for the corries\state\physics[.]rs: vars.zero_vec() corries\state\physics[.]rs: /// Accessor to the xi velocity vector, derived from the `vars` argument. corries\state\physics[.]rs: /// Returns a view to a vector of zeros if this value is not even a derived value for the corries\state\physics[.]rs: vars.zero_vec() corries\state\physics[.]rs: /// Accessor to the xi momentum vector, derived from the `vars` argument. corries\state\physics[.]rs: /// Returns a view to a vector of zeros if this value is not even a derived value for the corries\state\physics[.]rs: vars.zero_vec() corries\state\physics[.]rs: /// Accessor to the eta velocity vector, derived from the `vars` argument. corries\state\physics[.]rs: /// Returns a view to a vector of zeros if this value is not even a derived value for the corries\state\physics[.]rs: vars.zero_vec() corries\state\physics[.]rs: /// Accessor to the eta momentum vector, derived from the `vars` argument. corries\state\physics[.]rs: /// Returns a view to a vector of zeros if this value is not even a derived value for the corries\state\physics[.]rs: vars.zero_vec() corries\state\physics[.]rs: /// Accessor to the pressure vector, derived from the `vars` argument. corries\state\physics[.]rs: /// Returns a view to a vector of zeros if this value is not even a derived value for the corries\state\physics[.]rs: vars.zero_vec() corries\state\physics[.]rs: /// Accessor to the inner energy vector, derived from the `vars` argument. corries\state\physics[.]rs: /// Returns a view to a vector of zeros if this value is not even a derived value for the corries\state\physics[.]rs: vars.zero_vec() corries\state\systems\euler1dadiabatic[.]rs:/// Accessors to any of these will return a vector of zeroes, whereas the corresponding equation corries\state\systems\euler1disot[.]rs:/// energy. Accessors to any of these will return a vector of zeroes, whereas the corresponding corries\state\variables[.]rs: /// Helper vector that only contains zeros corries\state\variables[.]rs: zero_vec: Array1<f64>, corries\state\variables[.]rs: zero_vec: Array1::zeros(S), corries\state\variables[.]rs: /// Accessor function to a vector of zeroes. corries\state\variables[.]rs: pub fn zero_vec(&self) -> ArrayView1<f64> { corries\state\variables[.]rs: self.zero_vec.view() corries\state\variables[.]rs: /// Return a view to the vector of minimal eigen values. corries\state\variables[.]rs: /// Return a view to the vector of maximal eigen values. corries\state\variables[.]rs: (StructAssociation::Physics, DataName::Prim(j)) => self.write_vector(&self.prim.row(j), data, mesh_offset), corries\state\variables[.]rs: (StructAssociation::Physics, DataName::Cons(j)) => self.write_vector(&self.cons.row(j), data, mesh_offset), corries\state\variables[.]rs: self.write_vector(&self.c_sound.view(), data, mesh_offset) corries\time\rkf\butchertableau[.]rs: /// Coefficient vector b for high-order solutions corries\time\rkf\butchertableau[.]rs: /// Coefficient vector b for low-order solutions corries\time\rkf\butchertableau[.]rs: /// Coefficient vector c corries\time\rkf\butchertableau[.]rs: a: Array2::from_shape_vec( corries\time\rkf\butchertableau[.]rs: vec![0.0] corries\time\rkf\butchertableau[.]rs: b_high: Array1::from_shape_vec( corries\time\rkf\butchertableau[.]rs: vec![1.0] corries\time\rkf\butchertableau[.]rs: b_low: Array1::from_shape_vec( corries\time\rkf\butchertableau[.]rs: vec![0.0] corries\time\rkf\butchertableau[.]rs: c: Array1::from_shape_vec( corries\time\rkf\butchertableau[.]rs: vec![0.0] corries\time\rkf\butchertableau[.]rs: a: Array2::from_shape_vec( corries\time\rkf\butchertableau[.]rs: vec![0.0, 0.0, corries\time\rkf\butchertableau[.]rs: b_high: Array1::from_shape_vec( corries\time\rkf\butchertableau[.]rs: vec![0.0, 1.0] corries\time\rkf\butchertableau[.]rs: b_low: Array1::from_shape_vec( corries\time\rkf\butchertableau[.]rs: vec![0.0, 0.0] corries\time\rkf\butchertableau[.]rs: c: Array1::from_shape_vec( corries\time\rkf\butchertableau[.]rs: vec![0.0, 0.5] corries\time\rkf\butchertableau[.]rs: a: Array2::from_shape_vec( corries\time\rkf\butchertableau[.]rs: vec![0.0, 0.0, 0.0, corries\time\rkf\butchertableau[.]rs: b_high: Array1::from_shape_vec( corries\time\rkf\butchertableau[.]rs: vec![1.0/6.0, 2.0/3.0, 1.0/6.0] corries\time\rkf\butchertableau[.]rs: b_low: Array1::from_shape_vec( corries\time\rkf\butchertableau[.]rs: vec![0.0, 1.0, 0.0] corries\time\rkf\butchertableau[.]rs: c: Array1::from_shape_vec( corries\time\rkf\butchertableau[.]rs: vec![0.0, 0.5, 1.0] corries\time\rkf\butchertableau[.]rs: a: Array2::from_shape_vec( corries\time\rkf\butchertableau[.]rs: vec![0.0, 0.0, 0.0, 0.0, corries\time\rkf\butchertableau[.]rs: b_high: Array1::from_shape_vec( corries\time\rkf\butchertableau[.]rs: vec![1.0/6.0, 1.0/3.0, 1.0/3.0, 1.0/6.0] corries\time\rkf\butchertableau[.]rs: b_low: Array1::from_shape_vec( corries\time\rkf\butchertableau[.]rs: vec![0.0, 0.0, 0.0, 0.0] corries\time\rkf\butchertableau[.]rs: c: Array1::from_shape_vec( corries\time\rkf\butchertableau[.]rs: vec![0.0, 0.5, 0.5, 1.0] corries\time\rkf\butchertableau[.]rs: a: Array2::from_shape_vec( corries\time\rkf\butchertableau[.]rs: vec![0.0, 0.0, corries\time\rkf\butchertableau[.]rs: b_high: Array1::from_shape_vec( corries\time\rkf\butchertableau[.]rs: vec![0.5, 0.5] corries\time\rkf\butchertableau[.]rs: b_low: Array1::from_shape_vec( corries\time\rkf\butchertableau[.]rs: vec![1.0, 0.0] corries\time\rkf\butchertableau[.]rs: c: Array1::from_shape_vec( corries\time\rkf\butchertableau[.]rs: vec![0.0, 1.0] corries\time\rkf\butchertableau[.]rs: a: Array2::from_shape_vec( corries\time\rkf\butchertableau[.]rs: vec![0.0, 0.0, 0.0, corries\time\rkf\butchertableau[.]rs: b_high: Array1::from_shape_vec( corries\time\rkf\butchertableau[.]rs: vec![1.0/512.0, 255.0/256.0, 1.0/512.0] corries\time\rkf\butchertableau[.]rs: b_low: Array1::from_shape_vec( corries\time\rkf\butchertableau[.]rs: vec![1.0/256.0, 255.0/256.0, 0.0] corries\time\rkf\butchertableau[.]rs: c: Array1::from_shape_vec( corries\time\rkf\butchertableau[.]rs: vec![0.0, 0.5, 1.0] corries\time\rkf\butchertableau[.]rs: a: Array2::from_shape_vec( corries\time\rkf\butchertableau[.]rs: vec![0.0, 0.0, 0.0, 0.0, 0.0, 0.0, corries\time\rkf\butchertableau[.]rs: b_high: Array1::from_shape_vec( corries\time\rkf\butchertableau[.]rs: vec![16.0/135.0, 0.0, 6656.0/12825.0, 28561.0/56430.0, -9.0/50.0, 2.0/55.0] corries\time\rkf\butchertableau[.]rs: b_low: Array1::from_shape_vec( corries\time\rkf\butchertableau[.]rs: vec![25.0/216.0, 0.0, 1408.0/2565.0, 2197.0/4104.0, -0.2, 0.0] corries\time\rkf\butchertableau[.]rs: c: Array1::from_shape_vec( corries\time\rkf\butchertableau[.]rs: vec![0.0, 0.25, 0.375, 12.0/13.0, 1.0, 0.5] corries\time\rkf\butchertableau[.]rs: a: Array2::from_shape_vec( corries\time\rkf\butchertableau[.]rs: vec![0.0, 0.0, 0.0, corries\time\rkf\butchertableau[.]rs: b_high: Array1::from_shape_vec( corries\time\rkf\butchertableau[.]rs: vec![1.0/6.0, 1.0/6.0, 2.0/3.0] corries\time\rkf\butchertableau[.]rs: b_low: Array1::from_shape_vec( corries\time\rkf\butchertableau[.]rs: vec![0.5, 0.5, 0.0] corries\time\rkf\butchertableau[.]rs: c: Array1::from_shape_vec( corries\time\rkf\butchertableau[.]rs: vec![0.0, 1.0, 0.5] corries\time\rkf\butchertableau[.]rs: a: Array2::from_shape_vec( corries\time\rkf\butchertableau[.]rs: vec![0.0, 0.0, 0.0, 0.0, 0.0, corries\time\rkf\butchertableau[.]rs: b_high: Array1::from_shape_vec( corries\time\rkf\butchertableau[.]rs: vec![0.17279, 0.094505, 0.12947, 0.29899, 0.30424] corries\time\rkf\butchertableau[.]rs: b_low: Array1::from_shape_vec( corries\time\rkf\butchertableau[.]rs: vec![0.12293, 0.31981, -0.15316, 0.31887, 0.39155] corries\time\rkf\butchertableau[.]rs: c: Array1::from_shape_vec( corries\time\rkf\butchertableau[.]rs: vec![0.0, 0.36717, 0.58522, 0.44156, 0.8464] corries\writer\data[.]rs: /// * `mesh_offset` - The possible offset for vector-like values corries\writer\data[.]rs: DataType::VectorFloat => DataValue::VectorFloat(Array1::zeros([S - 2 * mesh_offset])), corries\writer\data[.]rs: /// xi coordinates at the cell centre (Vector) corries\writer\data[.]rs: /// xi coordinates at a cell's west border (Vector) corries\writer\data[.]rs: /// xi coordinates at a cell's east border (Vector) corries\writer\data[.]rs: /// Value is a vector-like container of `f64` corries\writer\data[.]rs: VectorFloat, corries\writer\data[.]rs: Self::XiCent => DataType::VectorFloat, corries\writer\data[.]rs: Self::XiWest => DataType::VectorFloat, corries\writer\data[.]rs: Self::XiEast => DataType::VectorFloat, corries\writer\data[.]rs: Self::Prim(_) => DataType::VectorFloat, corries\writer\data[.]rs: Self::Cons(_) => DataType::VectorFloat, corries\writer\data[.]rs: Self::CSound => DataType::VectorFloat, corries\writer\output[.]rs: pub data: Vec<Data>, corries\writer\output[.]rs: ToStringConversionMode::Vector => { corries\writer\output[.]rs: if let ToStringConversionMode::Vector = outputconfig.string_conversion_mode { corries\writer\output[.]rs: // vector output files are seperated into multiple files, and have to enumerated. corries\writer\output[.]rs: ToStringConversionMode::Vector => { corries\writer\output[.]rs: || self.string_conversion_mode == ToStringConversionMode::Vector corries\writer\output[.]rs: DataValue::VectorFloat(x) => write!(buffer, "{:>width$.*e}", self.precision, x[j], width = self.width) corries\writer[.]rs: pub outputs: Vec<Output>, corries\writer[.]rs: VectorFloat(Array1<f64>), corries\writer[.]rs: let mut outputs = vec![]; corries\writer[.]rs: /// * `mesh_offset` - In case of writing vector data, how many cells should be skipped at the corries\writer[.]rs: /// beginning and the end of the vector corries\writer[.]rs: /// Writes a vector-like `field` to a `value`. corries\writer[.]rs: /// * `field` - The vector-like piece of data corries\writer[.]rs: /// * `mesh_offset` - In case of writing vector data, how many cells should be skipped at the corries\writer[.]rs: /// beginning and the end of the vector corries\writer[.]rs: fn write_vector(&self, field: &ArrayView1<f64>, data: &mut Data, mesh_offset: usize) -> Result<()> { corries\writer[.]rs: DataValue::VectorFloat(v) => { corries\writer[.]rs: "Tried assigning vector field to non-vector DataValue!\nfield: {}\nvalue: {:?}",

The answer is A array1 is an array in memory. array2 = array1 does NOT create a copy. It makes array2 point to the same array as array1 Setting length = 0 mutates the array itself, clearing it. Since both variables reference the same array, both get emptied

Day 41 of #100DaysOfCode Worked on two useful problems today: • Valid Palindrome — checking whether a string is a palindrome while considering only alphanumeric characters • Relative Sort Array — rearranging array1 based on the order of elements in array2

Array1[0] = 1; Array0 = Array1; Array0[0] = 0; とかしたら、 Array1[0]にも0が入ってて触ってない値が変更されてるんだけど!?ってなってた

Quest new feature of leetcode part-> array-1 Q1. Concatenation of Array Q2. Shuffle the Array Q3. Max Consecutive Ones #codereview #LeetCode #challenge #100DayChallenge #coderarmy #quest #array1 #softwareprogrammer

C mei sabhi index par try kro ki kya hum ye element lekar last element bna skte hai kya. Kitne steps mei? Let's say array1 se first uthaya array2 se second and third is the last element. So the minimum step will be to take the median of these three elements and try to make it.

une struct MyIterable { array1, array2, un truc, un autre truc} j'ai besoin d'une syntaxe genre "for obj : MyIterable" comme on peut en faire en python c rust et surement bien d'autres IMPOSSIBLE, on peut itérer que sur LEUR array de con de merde ça m'a fait craquer

💡Very useful functions in Excel: 👉Matrix Multiplication: "=MMULT(array1;array2)" 👉Matrix Inverse: "=MINVERSE(array)" ☝️Where an array: "CellXₘ:CellXₙ, (often diagonally taken)

🚀 C# 12: Collection Expression y Operador (...) ¿Por qué usarlas? 1️⃣ ✂️ Menos código, más limpio 2️⃣ ⚡ Combina colecciones sin bucles 3️⃣ 🧩 Más legible y expresivo 4️⃣ 🚀 Mejor rendimiento con Span<T> ¡Haz tu código más poderoso! 👩💻✨ 🔙 Antes de C# 12 Tenías que crear un nuevo array y copiar manualmente los elementos de ambos arrays 🛠️📋 🆕 Crear un array nuevo 📥 Copiar los elementos del primero 📤 Copiar los elementos del segundo después del primero 🙅 Código más largo, menos legible y con riesgo de errores ✅ Ahora con C# 12 Con las expresiones de colección y el operador .., combinas arrays en 1 línea ✨ ✍️ Solo escribes [..array1, ..array2] 🔄 El operador .. despliega los elementos dentro del nuevo array 🔥 #csharp12 #dotnet #devtips #programacion

main の array1 と array2 は、func1, func2 内の array とは別のメモリ領域ですよね。つまり = 演算子で要素ごとのコピーが起こってほしい、という話に行き着くのでしょうか？

Today's work is here 😎, Solved 1 Leetcode problem of "Search in Rotated Sorted Array ||' , Approach 🧠:- So first understood the problem,this problem is majorly same as Search in Rotated Sorted Array1,but some exceptions. Thanks to fav @rohit_negi9 ❤️. #DSA #cpp #leetcode

JavaScript って、こんな書き方できるのか！ ChatGPTに、「要素eからなる配列array1に対して、eのプロパティtypeが特定の値xであるインデックスの配列array2を返すJavaScriptのコードを書いて」と言ったら、以下のような１行のプログラムを示してきた： array2 = array1.map((e,i) => ({e,i}).fliter(({e}) => e.type === x).map(({i})=>i); 私はJavaScript初心者なので、一瞬「えっ！？」と思考が止まった。何この呪文。怖い。ChatGPTに、この呪文の解説をお願いしたら、非常に丁寧に解説してくれた： ・array1 → .map() → .filter() → .map() と、戻り値を次々に受け渡す「メソッドチェーン」で書かれている。 ・アロー関数式「=>」を使うことで、その場で関数を定義して渡せる。（わざわざ別に定義した関数を呼び出さずに済むので「無名関数」と呼ばれる。） ・アロー関数式の定義でオブジェクト{}を示す場合、関数本体と誤解されないようカッコで括って ({}) と書く つまり、上述の１行のプログラムは、「ステップ１．配列の要素e とインデックス番号i のペアのオブジェクト{e,i}の配列を返す」→「ステップ２．{e,i}から要素{e} を分割代入し、e.type === x の条件を満たすオブジェクトのみを抽出して返す」→「ステップ３．抽出されたオブジェクト{e,i}から要素{i}を分割代入し、インデックス番号iの配列を返す」という三段階のプログラムを、メソッドチェーンとアロー関数を駆使して１行で書いていたわけだ。 あぁ、なんてエレガントなコードだ…。独学では、このコードを書けるようにはならなかったと思う。生成AI のプログラミング能力の高さを見せつけられたわ……。

は？Disruptor Array1アタ Stardust:RAY8373 がちでなに！荒井本当にやばい スタダもマジでうまい、これは頑張ればまだ伸びるかも 今日も成果多くて満足でした 手元ある、チーチー音ゲーキッズのYouTubeチャンネルに多分投稿するから見てね🫵

Disruptor Array1アタ😭