cargo | Dependency injection library for Python | Dependency Injection library
kandi X-RAY | cargo Summary
kandi X-RAY | cargo Summary
Cargo is a dependency injection library for Python. Cargo is simple to use, typed, flexible, extensible and easy to debug.
Support
Quality
Security
License
Reuse
Top functions reviewed by kandi - BETA
- Execute next_middleware
- Track a dependency type
- Remove a given dependency type
- Raise an exception if dependency_type is circular
- Convert factory to a DependencySpec
- Class decorator
- Convert a function into a dependency spec
- Define a dependency spec
- Get the version from the changelog
- Reads the first line of the file
- Parse the version from a line
- Executes a single dependency
- Resolves dependency types
- Return the dependency spec for the given key
- Tag a given package version
- Check if version is already published
- Publish a repository
- Creates a PackageInfo object from a poetry version string
cargo Key Features
cargo Examples and Code Snippets
Lines of Code : 41License : Permissive (MIT)
Copyimport cargo
class LoggerMiddleware(cargo.types.Middleware):
def execute(
self,
dependency_type: cargo.types.DependencyType,
next_middleware: cargo.types.NextMiddleware,
):
print(f"Start resolving {dependency ...
class A:
def __init__(self, b: B):
pass
class B:
pass
container = cargo.containers.Standard()
container[A] = A
# Note: B has not been registered
# Raises cargo.exceptions.DependencyNotFound:
container[A]
...
# Dependencie import cargo
# 1. Define your components
class A:
def __str__(self):
return "A"
class B:
def __init__(self, a: A):
self.a = a
# 2. Create a cargo container
container = cargo.containers.Standard()
# 3. Register your c Community Discussions
Trending Discussions on cargo
QUESTION
I wrote this code:
...ANSWER
Answered 2022-Feb-20 at 16:30Actually here is what the output in release mode looks like:
QUESTION
According to doc.rust-lang.org
build[s] a package's documentation, using specified custom flags
build[s] a package's documentation
What is the difference between the two? From what I understand cargo rustdoc is just like cargo doc, but it allows for more lints—for instance:
ANSWER
Answered 2022-Jan-11 at 21:00Their relationship is like between cargo build and cargo rustc: cargo doc performs all the usual work, for an entire workspace, including dependencies (by default). cargo rustdoc allows you to pass flags directly to rustdoc, and only works for a single crate.
Here is the execution code for cargo rustdoc. Here is the code for cargo doc. The only differences is that cargo rustdoc always specify to not check dependencies while cargo doc allows you to choose (by default it does, but you can specify the flag --no-deps), and that cargo rustc allows you to pass flags directly to rustdoc with the flags after the --.
QUESTION
I want to run an example via Cargo but I am facing an error:
...ANSWER
Answered 2021-Dec-14 at 14:09Update the Rust to satisfy the new edition 2021.
rustup default nightly && rustup update
Thanks to @ken.
Yes, you can use the stable channel too!
But I love nightly personally.
QUESTION
I'm trying to create a Printing Server in rust and face a problem when trying to send JSON as a response.
I've found on the Rocket documentation that is really easy to send JSON as a response: You just have to use the Serde library.
Unfortunatly, that wasn't so simple for me...
Here is my current code :
...ANSWER
Answered 2021-Aug-06 at 14:23You are using rocket 0.5.0-rc.1 and rocket_contrib 0.4.10. While Json from rocket_contrib does implement Responder, it implements the Responder trait of Rocket v4, not that of Rocket v5.
In Rocket v5, Json is not part of rocket_contib anymore, but included in the rocket crate (note that you need to enable the json feature on the rocket crate):
QUESTION
I am currently learning Rust, and as a first exercise I wanted to implement a function that computes the nth fibonacci number:
...ANSWER
Answered 2022-Jan-21 at 08:21TL;DR: It's not Rust vs C++, it's LLVM (Clang) vs GCC.
Different optimizers optimize the code differently, and in this case GCC produces larger but faster code.
This can be verified using godbolt.
Here is Rust, compiled with both GCC (via rustgcc-master):
QUESTION
When I build my rust project in macOS with apple sillicon using this command:
...ANSWER
Answered 2021-Dec-17 at 20:55I can resolve with:
QUESTION
I'm parsing a language that doesn't have statement terminators like ;. Expressions are defined as the longest sequence of tokens, so 5-5 has to be parsed as a subtraction, not as two statements (literal 5 followed by a unary negated -5).
I'm using LALRPOP as the parser generator (despite the name, it is LR(1) instead of LALR, afaik). LALRPOP doesn't have precedence attributes and doesn't prefer shift over reduce by default like yacc would do. I think I understand how regular operator precedence is encoded in an LR grammar by building a "chain" of rules, but I don't know how to apply that to this issue.
The expected parses would be (individual statements in brackets):
...ANSWER
Answered 2022-Jan-04 at 06:17The issue you're going to have to confront is how to deal with function calls. I can't really give you any concrete advice based on your question, because the grammar you provide lacks any indication of the intended syntax of functions calls, but the hint that print(5) is a valid statement makes it clear that there are two distinct situations, which need to be handled separately.
Consider:
QUESTION
This follows as a result of experimenting on Compiler Explorer as to ascertain the compiler's (rustc's) behaviour when it comes to the log2()/leading_zeros() and similar functions. I came across this result with seems exceedingly both bizarre and concerning:
Code:
...ANSWER
Answered 2021-Dec-26 at 01:56Old x86-64 CPUs don't support lzcnt, so rustc/llvm won't emit it by default. (They would execute it as bsr but the behavior is not identical.)
Use -C target-feature=+lzcnt to enable it. Try.
More generally, you may wish to use -C target-cpu=XXX to enable all the features of a specific CPU model. Use rustc --print target-cpus for a list.
In particular, -C target-cpu=native will generate code for the CPU that rustc itself is running on, e.g. if you will run the code on the same machine where you are compiling it.
QUESTION
Problem
I have a private Rust project (A) and it depends on another private Rust project (B). On my local machine, it works because I am logged into git. I am not sure how to login into git in Github Actions. I am not sure if it's needed. I am reading so many things about SSH and HTTPS, that I lost track of what I must do.
I saw https://github.com/webfactory/ssh-agent, https://github.com/fusion-engineering/setup-git-credentials and a few other actions, but I am just guessing things I need to do and I can not get it to work.
Setup
This is my Cargo.toml file on in project A:
...ANSWER
Answered 2021-Aug-07 at 16:29You can add this action after your checkout step and GitHub can access your private repo dependancy.
Note:- Make sure to add a server's private key as a secret, public key to GitHub SSH keys and Please replace your private repo URL from https+auth_token to SSH.
ssh://git@github.com/your_group/your_project.git
QUESTION
These are two basic code snippets to generate prime numbers in Rust and Node.js respectively. I am generating 100000 prime numbers.
Rust
...ANSWER
Answered 2021-Nov-27 at 16:05In JS, all numbers are floating-point thus division/modulo are performed on floating-point.
However, in current processors, integer division/modulo are much slower than floating-point ones (see here).
In your Rust program, the modulo is naturally computed on integers. When artificially switching to floating-point, I get a substancial improvement (310ms --> 152ms).
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install cargo
You can use cargo like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
Support
Reuse Trending Solutions
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items
Find more librariesStay Updated
Subscribe to our newsletter for trending solutions and developer bootcamps
Share this Page
