Awesome  Rust

Awesome Rust

1661392080

A Fast and Easy Tool for Code Searching Written in Rust

ast-grep(sg)

ast-grep(sg) is a fast and easy tool for code searching, linting, rewriting at large scale.

Introduction

ASTGrep is a lightning fast and user-friendly tool that performs static analysis and automatic code modification at large scale.

ASTGrep's core is searching and rewriting code based on abstract syntax tree produced by tree-sitter. It can help you do static analysis on

Installation

Install from source is the only way to try ast-grep locally at the moment. You need install rustup, clone the repository and then

cargo install --path ./crates/cli

Once the API is stablized, ast-grep will be available via package manager.

Demo

output

Feature Highlight

  • An intuitive pattern to find and replace AST. ASTGrep's pattern looks like ordinary code you would write every day. (You can call the pattern is isomorphic to code).
  • jQuery like API for AST traversal and manipulatioin.
  • YAML configuration to write new linting rules or code modification.
  • Written in compiled language, parsing with tree-sitter and utilizing multiple cores.
  • Beautiful command line interface :)

Democratize abstract syntax tree magic and liberate one from cumbersome AST programming!

CLI Screenshot

Search

image

Rewrite

image

Error report

image

Download details:

Author: HerringtonDarkholme
Source code: https://github.com/HerringtonDarkholme/ast-grep

#rust #rustlang

What is GEEK

Buddha Community

A Fast and Easy Tool for Code Searching Written in Rust
Tyrique  Littel

Tyrique Littel

1604008800

Static Code Analysis: What It Is? How to Use It?

Static code analysis refers to the technique of approximating the runtime behavior of a program. In other words, it is the process of predicting the output of a program without actually executing it.

Lately, however, the term “Static Code Analysis” is more commonly used to refer to one of the applications of this technique rather than the technique itself — program comprehension — understanding the program and detecting issues in it (anything from syntax errors to type mismatches, performance hogs likely bugs, security loopholes, etc.). This is the usage we’d be referring to throughout this post.

“The refinement of techniques for the prompt discovery of error serves as well as any other as a hallmark of what we mean by science.”

  • J. Robert Oppenheimer

Outline

We cover a lot of ground in this post. The aim is to build an understanding of static code analysis and to equip you with the basic theory, and the right tools so that you can write analyzers on your own.

We start our journey with laying down the essential parts of the pipeline which a compiler follows to understand what a piece of code does. We learn where to tap points in this pipeline to plug in our analyzers and extract meaningful information. In the latter half, we get our feet wet, and write four such static analyzers, completely from scratch, in Python.

Note that although the ideas here are discussed in light of Python, static code analyzers across all programming languages are carved out along similar lines. We chose Python because of the availability of an easy to use ast module, and wide adoption of the language itself.

How does it all work?

Before a computer can finally “understand” and execute a piece of code, it goes through a series of complicated transformations:

static analysis workflow

As you can see in the diagram (go ahead, zoom it!), the static analyzers feed on the output of these stages. To be able to better understand the static analysis techniques, let’s look at each of these steps in some more detail:

Scanning

The first thing that a compiler does when trying to understand a piece of code is to break it down into smaller chunks, also known as tokens. Tokens are akin to what words are in a language.

A token might consist of either a single character, like (, or literals (like integers, strings, e.g., 7Bob, etc.), or reserved keywords of that language (e.g, def in Python). Characters which do not contribute towards the semantics of a program, like trailing whitespace, comments, etc. are often discarded by the scanner.

Python provides the tokenize module in its standard library to let you play around with tokens:

Python

1

import io

2

import tokenize

3

4

code = b"color = input('Enter your favourite color: ')"

5

6

for token in tokenize.tokenize(io.BytesIO(code).readline):

7

    print(token)

Python

1

TokenInfo(type=62 (ENCODING),  string='utf-8')

2

TokenInfo(type=1  (NAME),      string='color')

3

TokenInfo(type=54 (OP),        string='=')

4

TokenInfo(type=1  (NAME),      string='input')

5

TokenInfo(type=54 (OP),        string='(')

6

TokenInfo(type=3  (STRING),    string="'Enter your favourite color: '")

7

TokenInfo(type=54 (OP),        string=')')

8

TokenInfo(type=4  (NEWLINE),   string='')

9

TokenInfo(type=0  (ENDMARKER), string='')

(Note that for the sake of readability, I’ve omitted a few columns from the result above — metadata like starting index, ending index, a copy of the line on which a token occurs, etc.)

#code quality #code review #static analysis #static code analysis #code analysis #static analysis tools #code review tips #static code analyzer #static code analysis tool #static analyzer

Samanta  Moore

Samanta Moore

1621137960

Guidelines for Java Code Reviews

Get a jump-start on your next code review session with this list.

Having another pair of eyes scan your code is always useful and helps you spot mistakes before you break production. You need not be an expert to review someone’s code. Some experience with the programming language and a review checklist should help you get started. We’ve put together a list of things you should keep in mind when you’re reviewing Java code. Read on!

1. Follow Java Code Conventions

2. Replace Imperative Code With Lambdas and Streams

3. Beware of the NullPointerException

4. Directly Assigning References From Client Code to a Field

5. Handle Exceptions With Care

#java #code quality #java tutorial #code analysis #code reviews #code review tips #code analysis tools #java tutorial for beginners #java code review

Serde Rust: Serialization Framework for Rust

Serde

*Serde is a framework for serializing and deserializing Rust data structures efficiently and generically.*

You may be looking for:

Serde in action

Click to show Cargo.toml. Run this code in the playground.

[dependencies]

# The core APIs, including the Serialize and Deserialize traits. Always
# required when using Serde. The "derive" feature is only required when
# using #[derive(Serialize, Deserialize)] to make Serde work with structs
# and enums defined in your crate.
serde = { version = "1.0", features = ["derive"] }

# Each data format lives in its own crate; the sample code below uses JSON
# but you may be using a different one.
serde_json = "1.0"

 

use serde::{Serialize, Deserialize};

#[derive(Serialize, Deserialize, Debug)]
struct Point {
    x: i32,
    y: i32,
}

fn main() {
    let point = Point { x: 1, y: 2 };

    // Convert the Point to a JSON string.
    let serialized = serde_json::to_string(&point).unwrap();

    // Prints serialized = {"x":1,"y":2}
    println!("serialized = {}", serialized);

    // Convert the JSON string back to a Point.
    let deserialized: Point = serde_json::from_str(&serialized).unwrap();

    // Prints deserialized = Point { x: 1, y: 2 }
    println!("deserialized = {:?}", deserialized);
}

Getting help

Serde is one of the most widely used Rust libraries so any place that Rustaceans congregate will be able to help you out. For chat, consider trying the #rust-questions or #rust-beginners channels of the unofficial community Discord (invite: https://discord.gg/rust-lang-community), the #rust-usage or #beginners channels of the official Rust Project Discord (invite: https://discord.gg/rust-lang), or the #general stream in Zulip. For asynchronous, consider the [rust] tag on StackOverflow, the /r/rust subreddit which has a pinned weekly easy questions post, or the Rust Discourse forum. It's acceptable to file a support issue in this repo but they tend not to get as many eyes as any of the above and may get closed without a response after some time.

Download Details:
Author: serde-rs
Source Code: https://github.com/serde-rs/serde
License: View license

#rust  #rustlang 

I am Developer

1599478097

Ajax Live Data Search using jQuery PHP MySQL

simple search code in php with demo. Here, i will show you how to create live search in PHP MySQL using jQuery ajax from database.

PHP MySQL Ajax Live Search

Use the following simple steps and create ajax live search PHP MySQL from database:

  1. Connecting Database File
  2. Create an ajax live search form PHP
  3. Create a PHP Script for Live Search From DB using Ajax

https://www.tutsmake.com/ajax-php-mysql-search-example/

#live search in php mysql ajax with examples #simple search code in php with demo #php mysql search form example #php code for search data from database #source code search php

Awesome  Rust

Awesome Rust

1661392080

A Fast and Easy Tool for Code Searching Written in Rust

ast-grep(sg)

ast-grep(sg) is a fast and easy tool for code searching, linting, rewriting at large scale.

Introduction

ASTGrep is a lightning fast and user-friendly tool that performs static analysis and automatic code modification at large scale.

ASTGrep's core is searching and rewriting code based on abstract syntax tree produced by tree-sitter. It can help you do static analysis on

Installation

Install from source is the only way to try ast-grep locally at the moment. You need install rustup, clone the repository and then

cargo install --path ./crates/cli

Once the API is stablized, ast-grep will be available via package manager.

Demo

output

Feature Highlight

  • An intuitive pattern to find and replace AST. ASTGrep's pattern looks like ordinary code you would write every day. (You can call the pattern is isomorphic to code).
  • jQuery like API for AST traversal and manipulatioin.
  • YAML configuration to write new linting rules or code modification.
  • Written in compiled language, parsing with tree-sitter and utilizing multiple cores.
  • Beautiful command line interface :)

Democratize abstract syntax tree magic and liberate one from cumbersome AST programming!

CLI Screenshot

Search

image

Rewrite

image

Error report

image

Download details:

Author: HerringtonDarkholme
Source code: https://github.com/HerringtonDarkholme/ast-grep

#rust #rustlang