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55 releases
0.4.5 | Aug 24, 2024 |
---|---|
0.4.4 | Jul 5, 2024 |
0.4.3 | Dec 19, 2023 |
0.4.2 | Jul 11, 2023 |
0.1.2 | Dec 31, 2019 |
#22 in #games
231 downloads per month
130KB
3K
SLoC
leetcode-cli
Installing
# Required dependencies:
#
# gcc
# libssl-dev
# libdbus-1-dev
# libsqlite3-dev
cargo install leetcode-cli
Shell completions
For Bash and Zsh (by default picks up $SHELL
from environment)
eval "$(leetcode completions)"
Copy the line above to .bash_profile
or .zshrc
You may also obtain specific shell configuration using.
leetcode completions fish
If no argument is provided, the shell is inferred from the SHELL
environment variable.
Usage
Make sure you have logged in to leetcode.com
with Firefox
. See Cookies for why you need to do this first.
leetcode 0.4.0
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
To configure leetcode-cli, create a file at ~/.leetcode/leetcode.toml
):
[code]
editor = 'emacs'
# Optional parameter
editor_args = ['-nw']
# Optional environment variables (ex. [ "XDG_DATA_HOME=...", "XDG_CONFIG_HOME=...", "XDG_STATE_HOME=..." ])
editor_envs = []
lang = 'rust'
edit_code_marker = false
start_marker = ""
end_marker = ""
# if include problem description
comment_problem_desc = false
# comment syntax
comment_leading = ""
test = true
[cookies]
csrf = '<your-leetcode-csrf-token>'
session = '<your-leetcode-session-key>'
# leetcode.com or leetcode.cn
site = "leetcode.com"
[storage]
cache = 'Problems'
code = 'code'
root = '~/.leetcode'
scripts = 'scripts'
Configuration Explanation
[code]
editor = 'emacs'
# Optional parameter
editor_args = ['-nw']
# Optional environment variables (ex. [ "XDG_DATA_HOME=...", "XDG_CONFIG_HOME=...", "XDG_STATE_HOME=..." ])
editor_envs = []
lang = 'rust'
edit_code_marker = true
start_marker = "start_marker"
end_marker = "end_marker"
# if include problem description
comment_problem_desc = true
# comment syntax
comment_leading = "//"
test = true
[cookies]
csrf = '<your-leetcode-csrf-token>'
session = '<your-leetcode-session-key>'
[storage]
cache = 'Problems'
code = 'code'
root = '~/.leetcode'
scripts = 'scripts'
If we change the configuration as shown previously, we will get the following code after leetcode edit 15
.
// Category: algorithms
// Level: Medium
// Percent: 32.90331%
// Given an integer array nums, return all the triplets [nums[i], nums[j], nums[k]] such that i != j, i != k, and j != k, and nums[i] + nums[j] + nums[k] == 0.
//
// Notice that the solution set must not contain duplicate triplets.
//
//
// Example 1:
//
// Input: nums = [-1,0,1,2,-1,-4]
// Output: [[-1,-1,2],[-1,0,1]]
// Explanation:
// nums[0] + nums[1] + nums[2] = (-1) + 0 + 1 = 0.
// nums[1] + nums[2] + nums[4] = 0 + 1 + (-1) = 0.
// nums[0] + nums[3] + nums[4] = (-1) + 2 + (-1) = 0.
// The distinct triplets are [-1,0,1] and [-1,-1,2].
// Notice that the order of the output and the order of the triplets does not matter.
//
//
// Example 2:
//
// Input: nums = [0,1,1]
// Output: []
// Explanation: The only possible triplet does not sum up to 0.
//
//
// Example 3:
//
// Input: nums = [0,0,0]
// Output: [[0,0,0]]
// Explanation: The only possible triplet sums up to 0.
//
//
//
// Constraints:
//
//
// 3 <= nums.length <= 3000
// -10⁵ <= nums[i] <= 10⁵
//
// start_marker
impl Solution {
pub fn three_sum(nums: Vec<i32>) -> Vec<Vec<i32>> {
}
}
// end_marker
Some linting tools/lsps will throw errors unless the necessary libraries are imported. leetcode-cli can generate this boilerplate automatically if the inject_before
key is set. Similarly, if you want to test out your code locally, you can automate that with inject_after
. For c++ this might look something like:
[code]
inject_before = ["#include<bits/stdc++.h>", "using namespace std;"]
inject_after = ["int main() {\n Solution solution;\n\n}"]
1. pick
leetcode pick 1
leetcode pick --name "Two Sum"
[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. exec
leetcode exec 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-cli can work on OSX and Linux. If you are on a different platform, there are problems with caching the cookies, you can manually input your LeetCode Cookies to the configuration file.
[cookies]
csrf = "..."
session = "..."
For Example, using Firefox (after logging in to LeetCode):
Step 1
Open Firefox, press F12, and click Storage
tab.
Step 2
Expand Cookies
tab on the left and select https://leetcode.com.
Step 2
Copy Value
from LEETCODE_SESSION
and csrftoken
to session
and csrf
in your configuration file, respectively:
[cookies]
csrf = '<your-leetcode-csrf-token>'
session = '<your-leetcode-session-key>'
Programmable
If you want to filter LeetCode questions using custom Python scripts, add the following to your the configuration file:
[storage]
scripts = "scripts"
Then write the script:
# ~/.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 run list
with the filter that you just wrote:
leetcode list -p plan1
That's it! Enjoy!
Contributions
Feel free to add your names and emails in the authors
field of Cargo.toml
!
LICENSE
MIT
Dependencies
~37–51MB
~869K SLoC