#cli #games #leetcode

nightly bin+lib leetcode-cli

Leet your code in command-line

23 releases

✓ Uses Rust 2018 edition

new 0.2.12 Jan 18, 2020
0.2.11 Jan 18, 2020
0.1.9 Jan 5, 2020
0.1.2 Dec 31, 2019

#68 in Games

Download history 107/week @ 2019-12-30 178/week @ 2020-01-06 435/week @ 2020-01-13

232 downloads per month

MIT license

95KB
2K SLoC

leetcode-cli

doc Crates.io Crates.io LICENSE

Features

  • the edit flow —— solution files will generate automatically!
  • support python script to filter questions
  • doc support, lc-rs can compile the annotation of your solutions to markdown!
  • support local signal to keep coding as longer as you want.

Building

cargo install leetcode-cli

Usage

Please make sure you have logined in leetcode.com with chrome, more info plz checkout this

leetcode 0.2.12
clearloop <udtrokia@163.com>
May the Code be with You 👻

USAGE:
    leetcode [FLAGS] [SUBCOMMAND]

FLAGS:
    -d, --debug      debug mode
    -h, --help       Prints help information
    -V, --version    Prints version information

SUBCOMMANDS:
    data    Manage Cache [aliases: d]
    edit    Edit question by id [aliases: e]
    exec    Submit solution [aliases: x]
    list    List problems [aliases: l]
    pick    Pick a problem [aliases: p]
    stat    Show simple chart about submissions [aliases: s]
    test    Edit question by id [aliases: t]
    help    Prints this message or the help of the given subcommand(s)

Example

For example, if your config is:

[code]
lang = "rust"
editor = "emacs"

1. pick

leetcode pick 1
[1] Two Sum is on the run...


Given an array of integers, return indices of the two numbers such that they add up to a specific target.

You may assume that each input would have exactly one solution, and you may not use the same element twice.

--------------------------------------------------

Example:


Given nums = [2, 7, 11, 15], target = 9,

Because nums[0] + nums[1] = 2 + 7 = 9,
return [0, 1].

2. edit

leetcode edit 1
# struct Solution;
impl Solution {
    pub fn two_sum(nums: Vec<i32>, target: i32) -> Vec<i32> {
        use std::collections::HashMap;
        let mut m: HashMap<i32, i32> = HashMap::new();

        for (i, e) in nums.iter().enumerate() {
            if let Some(v) = m.get(&(target - e)) {
                return vec![*v, i as i32];
            }

            m.insert(*e, i as i32).unwrap_or_default();
        }

        return vec![];
    }
}

3. test

leetcode test 1

  Accepted       Runtime: 0 ms

  Your input:    [2,7,11,15], 9
  Output:        [0,1]
  Expected:      [0,1]

4. submit

leetcode submit 1

  Success

  Runtime: 0 ms, faster than 100% of Rustonline submissions for Two Sum.

  Memory Usage: 2.4 MB, less than 100% of Rustonline submissions for Two Sum.


Cookies

The cookie plugin of leetcode-cil can work on OSX and Linux, If you are on other platforms or your cookies just don't want to be catched, you can handwrite your LeetCode Cookies to ~/.leetcode/leetcode.toml

# Make sure `leetcode.toml` file is placed at `~/.leetcode/leetcode.toml`
[cookies]
csrf = "..."
session = "..."

For Example, if you're using chrome to login to leetcode.com.

Step 1

Open chrome and paste the link below to the chrome linkbar.

chrome://settings/cookies/detail?site=leetcode.com

Step 2

Copy the contents of LEETCODE_SESSION and csrftoken.

Step 3

Paste them to session and csrf.

# Make sure `leetcode.toml` file is placed at `~/.leetcode/leetcode.toml`
[cookies]
csrf = "${csrftoken}"
session = "${LEETCODE_SESSION}"

Programmable

If we want to filter leetcode questions using our own python scripts, what should we do?

For example, our config is:

# Make sure `leetcode.toml` file is placed at `~/.leetcode/leetcode.toml`
[storage]
scripts = "scripts"

We write our python scripts:

# ~/.leetcode/scripts/plan1.py
import json;

def plan(sps, stags):
    ##
    # `print` in python is supported, 
    # if you want to know the data structures of these two args, 
    # just print them
    ##
    problems = json.loads(sps)
    tags = json.loads(stags)
	
    ret = []
    tm = {}
    for tag in tags:
        tm[tag["tag"]] = tag["refs"];

    for i in problems:
        if i["level"] == 1 and str(i["id"]) in tm["linked-list"]:
            ret.append(str(i["id"]))

    # return is `List[string]`
    return ret

Then we can run filter as what we write now:

leetcode list -p plan1

Well done, enjoy it!

PR

PR is welcome, here it is.

LICENSE

MIT

Dependencies

~29MB
~666K SLoC