Cask.rs: A Universal, Distributed Package Manager, Written in Rust

Cask

A universal, distributed package manager.

If you are tired of:

Install different package manager in different platform (Homebrew/Chocolatey/Scoop).
Writing installation scripts many times(Bash/PowerShell).
Update remote package information when release a new version

Then welcome to Cask.

Installation

Shell (Mac/Linux)

curl -fsSL https://cdn.jsdelivr.net/gh/cask-pkg/cask.rs/install.sh | bash

PowerShell (Windows):

iwr https://cdn.jsdelivr.net/gh/cask-pkg/cask.rs/install.ps1 -useb | iex

Github release page

Download the executable, then put it in the $PATH directory.

Upgrade from existing version

cask self-update

try running following command

$ cask --help
cask v0.4.1
Axetroy <axetroy.dev@gmail.com>
General distributed binary distribution package management, written in Rust.

USAGE:
    cask <SUBCOMMAND>

OPTIONS:
    -h, --help       Print help information
    -V, --version    Print version information

SUBCOMMANDS:
    check-updates     Check and update packages to latest [aliases: check-upgrades]
    clean             Clear residual data [aliases: clear]
    help              Print this message or the help of the given subcommand(s)
    homepage          Open homepage of package [aliases: home]
    info              Show information of package
    install           Install package [aliases: i]
    list              List installed package [aliases: ls]
    remote            Operation for build-in formula
    self-uninstall    Uninstall cask itself and installed package
    self-update       Update Cask to the newest version [aliases: self-upgrade]
    uninstall         Uninstall package [aliases: rm]
    update            Upgrade package to latest [aliases: upgrade]

Usage

# cask install <package>
cask install github.com/axetroy/dvm
# cask install <package> <version>
cask install github.com/axetroy/dvm 1.x
# cask install <repository URL>
cask install https://github.com/axetroy/dvm.git
# cask install from stdin
curl https://raw.githubusercontent.com/axetroy/dvm/master/Cask.toml | cask install

# cask uninstall <package or the executable file name of the package>
cask uninstall github.com/axetroy/dvm
# or uninstall with shorter command
cask rm dvm

Show more information with cask --help command.

Command

Command	Description
cask install <PACKAGE> [VERSION]	Install package
cask uninstall <PACKAGE>	Uninstall package
cask info <PACKAGE>	Show information of package
cask update <PACKAGE>	Update package to latest
cask homepage <PACKAGE>	Open homepage of package
cask check-updates	Check and update packages to latest
cask list	List installed package
cask clean	Clear residual data
cask self-update	Update Cask to the newest version
cask self-uninstall	Uninstall cask itself and installed package
cask remote sync	Sync build-in formula from remote to local
cask remote list	List build-in formula on remote

Requirement

Cask depends on Git

Download Details:

Author: cask-pkg
Source Code: https://github.com/cask-pkg/cask.rs

License: MIT license

#rust

Cask.rs: A Universal, Distributed Package Manager, Written in Rust

Cask

A universal, distributed package manager.

If you are tired of:

Install different package manager in different platform (Homebrew/Chocolatey/Scoop).
Writing installation scripts many times(Bash/PowerShell).
Update remote package information when release a new version

Then welcome to Cask.

Installation

Shell (Mac/Linux)

curl -fsSL https://cdn.jsdelivr.net/gh/cask-pkg/cask.rs/install.sh | bash

PowerShell (Windows):

iwr https://cdn.jsdelivr.net/gh/cask-pkg/cask.rs/install.ps1 -useb | iex

Github release page

Download the executable, then put it in the $PATH directory.

Upgrade from existing version

cask self-update

try running following command

$ cask --help
cask v0.4.1
Axetroy <axetroy.dev@gmail.com>
General distributed binary distribution package management, written in Rust.

USAGE:
    cask <SUBCOMMAND>

OPTIONS:
    -h, --help       Print help information
    -V, --version    Print version information

SUBCOMMANDS:
    check-updates     Check and update packages to latest [aliases: check-upgrades]
    clean             Clear residual data [aliases: clear]
    help              Print this message or the help of the given subcommand(s)
    homepage          Open homepage of package [aliases: home]
    info              Show information of package
    install           Install package [aliases: i]
    list              List installed package [aliases: ls]
    remote            Operation for build-in formula
    self-uninstall    Uninstall cask itself and installed package
    self-update       Update Cask to the newest version [aliases: self-upgrade]
    uninstall         Uninstall package [aliases: rm]
    update            Upgrade package to latest [aliases: upgrade]

Usage

# cask install <package>
cask install github.com/axetroy/dvm
# cask install <package> <version>
cask install github.com/axetroy/dvm 1.x
# cask install <repository URL>
cask install https://github.com/axetroy/dvm.git
# cask install from stdin
curl https://raw.githubusercontent.com/axetroy/dvm/master/Cask.toml | cask install

# cask uninstall <package or the executable file name of the package>
cask uninstall github.com/axetroy/dvm
# or uninstall with shorter command
cask rm dvm

Show more information with cask --help command.

Command

Command	Description
cask install <PACKAGE> [VERSION]	Install package
cask uninstall <PACKAGE>	Uninstall package
cask info <PACKAGE>	Show information of package
cask update <PACKAGE>	Update package to latest
cask homepage <PACKAGE>	Open homepage of package
cask check-updates	Check and update packages to latest
cask list	List installed package
cask clean	Clear residual data
cask self-update	Update Cask to the newest version
cask self-uninstall	Uninstall cask itself and installed package
cask remote sync	Sync build-in formula from remote to local
cask remote list	List build-in formula on remote

Requirement

Cask depends on Git

Download Details:

Author: cask-pkg
Source Code: https://github.com/cask-pkg/cask.rs

License: MIT license

#rust

Rust Blockchain

1643176207

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

German Donnelly

1592447342

How to Install Pyenv on Ubuntu 18.04

What is Pyenv?
Pyenv is a fantastic tool for installing and managing multiple Python versions. It enables a developer to quickly gain access to newer versions of Python and keeps the system clean and free of unnecessary package bloat. It also offers the ability to quickly switch from one version of Python to another, as well as specify the version of Python a given project uses and can automatically switch to that version. This tutorial covers how to install pyenv on Ubuntu 18.04.

#tutorials #apt #debian #environment #git #github #linux #package #package management #package manager #personal package archive #ppa #pyenv #python #python 3 #python support #python-pip #repository #smb #software #source install #ubuntu #ubuntu 18.04 #venv #virtualenv #web application development

Origin Scale

1616572311

Originscale Order Management System

Originscale order management software helps to manage all your orders across channels in a single place. Originscale collects orders across multiple channels in real-time - online, offline, D2C, B2B, and more. View all your orders in one single window and process them with a simple click.

#order management system #ordering management system #order management software #free order management software #purchase order management software #best order management software

Awesome Rust

1654894080

Serde JSON: JSON Support for Serde Framework

Serde JSON

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

[dependencies]
serde_json = "1.0"

You may be looking for:

JSON is a ubiquitous open-standard format that uses human-readable text to transmit data objects consisting of key-value pairs.

{
    "name": "John Doe",
    "age": 43,
    "address": {
        "street": "10 Downing Street",
        "city": "London"
    },
    "phones": [
        "+44 1234567",
        "+44 2345678"
    ]
}

There are three common ways that you might find yourself needing to work with JSON data in Rust.

As text data. An unprocessed string of JSON data that you receive on an HTTP endpoint, read from a file, or prepare to send to a remote server.
As an untyped or loosely typed representation. Maybe you want to check that some JSON data is valid before passing it on, but without knowing the structure of what it contains. Or you want to do very basic manipulations like insert a key in a particular spot.
As a strongly typed Rust data structure. When you expect all or most of your data to conform to a particular structure and want to get real work done without JSON's loosey-goosey nature tripping you up.

Serde JSON provides efficient, flexible, safe ways of converting data between each of these representations.

Operating on untyped JSON values

Any valid JSON data can be manipulated in the following recursive enum representation. This data structure is serde_json::Value.

enum Value {
    Null,
    Bool(bool),
    Number(Number),
    String(String),
    Array(Vec<Value>),
    Object(Map<String, Value>),
}

A string of JSON data can be parsed into a serde_json::Value by the serde_json::from_str function. There is also from_slice for parsing from a byte slice &[u8] and from_reader for parsing from any io::Read like a File or a TCP stream.

use serde_json::{Result, Value};

fn untyped_example() -> Result<()> {
    // Some JSON input data as a &str. Maybe this comes from the user.
    let data = r#"
        {
            "name": "John Doe",
            "age": 43,
            "phones": [
                "+44 1234567",
                "+44 2345678"
            ]
        }"#;

    // Parse the string of data into serde_json::Value.
    let v: Value = serde_json::from_str(data)?;

    // Access parts of the data by indexing with square brackets.
    println!("Please call {} at the number {}", v["name"], v["phones"][0]);

    Ok(())
}

The result of square bracket indexing like v["name"] is a borrow of the data at that index, so the type is &Value. A JSON map can be indexed with string keys, while a JSON array can be indexed with integer keys. If the type of the data is not right for the type with which it is being indexed, or if a map does not contain the key being indexed, or if the index into a vector is out of bounds, the returned element is Value::Null.

When a Value is printed, it is printed as a JSON string. So in the code above, the output looks like Please call "John Doe" at the number "+44 1234567". The quotation marks appear because v["name"] is a &Value containing a JSON string and its JSON representation is "John Doe". Printing as a plain string without quotation marks involves converting from a JSON string to a Rust string with as_str() or avoiding the use of Value as described in the following section.

The Value representation is sufficient for very basic tasks but can be tedious to work with for anything more significant. Error handling is verbose to implement correctly, for example imagine trying to detect the presence of unrecognized fields in the input data. The compiler is powerless to help you when you make a mistake, for example imagine typoing v["name"] as v["nmae"] in one of the dozens of places it is used in your code.

Parsing JSON as strongly typed data structures

Serde provides a powerful way of mapping JSON data into Rust data structures largely automatically.

use serde::{Deserialize, Serialize};
use serde_json::Result;

#[derive(Serialize, Deserialize)]
struct Person {
    name: String,
    age: u8,
    phones: Vec<String>,
}

fn typed_example() -> Result<()> {
    // Some JSON input data as a &str. Maybe this comes from the user.
    let data = r#"
        {
            "name": "John Doe",
            "age": 43,
            "phones": [
                "+44 1234567",
                "+44 2345678"
            ]
        }"#;

    // Parse the string of data into a Person object. This is exactly the
    // same function as the one that produced serde_json::Value above, but
    // now we are asking it for a Person as output.
    let p: Person = serde_json::from_str(data)?;

    // Do things just like with any other Rust data structure.
    println!("Please call {} at the number {}", p.name, p.phones[0]);

    Ok(())
}

This is the same serde_json::from_str function as before, but this time we assign the return value to a variable of type Person so Serde will automatically interpret the input data as a Person and produce informative error messages if the layout does not conform to what a Person is expected to look like.

Any type that implements Serde's Deserialize trait can be deserialized this way. This includes built-in Rust standard library types like Vec<T> and HashMap<K, V>, as well as any structs or enums annotated with #[derive(Deserialize)].

Once we have p of type Person, our IDE and the Rust compiler can help us use it correctly like they do for any other Rust code. The IDE can autocomplete field names to prevent typos, which was impossible in the serde_json::Value representation. And the Rust compiler can check that when we write p.phones[0], then p.phones is guaranteed to be a Vec<String> so indexing into it makes sense and produces a String.

The necessary setup for using Serde's derive macros is explained on the Using derive page of the Serde site.

Constructing JSON values

Serde JSON provides a json! macro to build serde_json::Value objects with very natural JSON syntax.

use serde_json::json;

fn main() {
    // The type of `john` is `serde_json::Value`
    let john = json!({
        "name": "John Doe",
        "age": 43,
        "phones": [
            "+44 1234567",
            "+44 2345678"
        ]
    });

    println!("first phone number: {}", john["phones"][0]);

    // Convert to a string of JSON and print it out
    println!("{}", john.to_string());
}

The Value::to_string() function converts a serde_json::Value into a String of JSON text.

One neat thing about the json! macro is that variables and expressions can be interpolated directly into the JSON value as you are building it. Serde will check at compile time that the value you are interpolating is able to be represented as JSON.

let full_name = "John Doe";
let age_last_year = 42;

// The type of `john` is `serde_json::Value`
let john = json!({
    "name": full_name,
    "age": age_last_year + 1,
    "phones": [
        format!("+44 {}", random_phone())
    ]
});

This is amazingly convenient, but we have the problem we had before with Value: the IDE and Rust compiler cannot help us if we get it wrong. Serde JSON provides a better way of serializing strongly-typed data structures into JSON text.

Creating JSON by serializing data structures

A data structure can be converted to a JSON string by serde_json::to_string. There is also serde_json::to_vec which serializes to a Vec<u8> and serde_json::to_writer which serializes to any io::Write such as a File or a TCP stream.

use serde::{Deserialize, Serialize};
use serde_json::Result;

#[derive(Serialize, Deserialize)]
struct Address {
    street: String,
    city: String,
}

fn print_an_address() -> Result<()> {
    // Some data structure.
    let address = Address {
        street: "10 Downing Street".to_owned(),
        city: "London".to_owned(),
    };

    // Serialize it to a JSON string.
    let j = serde_json::to_string(&address)?;

    // Print, write to a file, or send to an HTTP server.
    println!("{}", j);

    Ok(())
}

Any type that implements Serde's Serialize trait can be serialized this way. This includes built-in Rust standard library types like Vec<T> and HashMap<K, V>, as well as any structs or enums annotated with #[derive(Serialize)].

Performance

It is fast. You should expect in the ballpark of 500 to 1000 megabytes per second deserialization and 600 to 900 megabytes per second serialization, depending on the characteristics of your data. This is competitive with the fastest C and C++ JSON libraries or even 30% faster for many use cases. Benchmarks live in the serde-rs/json-benchmark repo.

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.

No-std support

As long as there is a memory allocator, it is possible to use serde_json without the rest of the Rust standard library. This is supported on Rust 1.36+. Disable the default "std" feature and enable the "alloc" feature:

[dependencies]
serde_json = { version = "1.0", default-features = false, features = ["alloc"] }

For JSON support in Serde without a memory allocator, please see the serde-json-core crate.

Link: https://crates.io/crates/serde_json

#rust #rustlang #encode #json

Cask.rs: A Universal, Distributed Package Manager, Written in Rust

Cask

Installation

Usage

Command

Requirement

Download Details:

What is GEEK

Buddha Community

Cask.rs: A Universal, Distributed Package Manager, Written in Rust

Cask

Installation

Usage

Command

Requirement

Download Details:

Serde Rust: Serialization Framework for Rust

Serde in action

Getting help

How to Install Pyenv on Ubuntu 18.04

Originscale Order Management System

Serde JSON: JSON Support for Serde Framework

Operating on untyped JSON values

Parsing JSON as strongly typed data structures

Constructing JSON values

Creating JSON by serializing data structures

Performance

Getting help

No-std support