From b5aa889f7fced8ba2cc1698ae9696d7bd0ca8ab5 Mon Sep 17 00:00:00 2001 From: garhve Date: Tue, 20 Dec 2022 11:07:35 +0800 Subject: remove compiled binary --- .../guessing_game/target/doc/rand/index.html | 33 ---------------------- 1 file changed, 33 deletions(-) delete mode 100644 rust/theBook/chapter-2-guessing-game/guessing_game/target/doc/rand/index.html (limited to 'rust/theBook/chapter-2-guessing-game/guessing_game/target/doc/rand/index.html') diff --git a/rust/theBook/chapter-2-guessing-game/guessing_game/target/doc/rand/index.html b/rust/theBook/chapter-2-guessing-game/guessing_game/target/doc/rand/index.html deleted file mode 100644 index 07aa415..0000000 --- a/rust/theBook/chapter-2-guessing-game/guessing_game/target/doc/rand/index.html +++ /dev/null @@ -1,33 +0,0 @@ -rand - Rust

Crate rand

source · []
Expand description

Utilities for random number generation

-

Rand provides utilities to generate random numbers, to convert them to -useful types and distributions, and some randomness-related algorithms.

-

Quick Start

-

To get you started quickly, the easiest and highest-level way to get -a random value is to use random(); alternatively you can use -thread_rng(). The Rng trait provides a useful API on all RNGs, while -the distributions and seq modules provide further -functionality on top of RNGs.

- -
use rand::prelude::*;
-
-if rand::random() { // generates a boolean
-    // Try printing a random unicode code point (probably a bad idea)!
-    println!("char: {}", rand::random::<char>());
-}
-
-let mut rng = rand::thread_rng();
-let y: f64 = rng.gen(); // generates a float between 0 and 1
-
-let mut nums: Vec<i32> = (1..100).collect();
-nums.shuffle(&mut rng);
-

The Book

-

For the user guide and further documentation, please read -The Rust Rand Book.

-

Modules

Generating random samples from probability distributions
Convenience re-export of common members
Random number generators and adapters
Sequence-related functionality

Structs

Error type of random number generators

Traits

A marker trait used to indicate that an RngCore or BlockRngCore -implementation is supposed to be cryptographically secure.
Types which may be filled with random data
An automatically-implemented extension trait on RngCore providing high-level -generic methods for sampling values and other convenience methods.
The core of a random number generator.
A random number generator that can be explicitly seeded.

Functions

Generates a random value using the thread-local random number generator.
Retrieve the lazily-initialized thread-local random number generator, -seeded by the system. Intended to be used in method chaining style, -e.g. thread_rng().gen::<i32>(), or cached locally, e.g. -let mut rng = thread_rng();. Invoked by the Default trait, making -ThreadRng::default() equivalent.
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