How Do I Add System_Platform Specifiers To Pyproject.Toml? Mới Cập Nhật

You can add system_platform specifiers to your pyproject.toml file using the following syntax:

java
[tool.poetry.dependencies]
package-name = {version = "*", markers = "sys_platform=='platform-name'"}

Here, package-name is the name of the package you want to install, version = "*" specifies that you want the latest version of the package, and markers = "sys_platform=='platform-name'" specifies the platform-specific marker.

You can replace platform-name with the name of the platform you want to specify, such as linux, macos, or windows. You can also use more complex markers, such as sys_platform=='win32' and python_version>='3.6'.

For example, if you want to install numpy only on Linux, you can add the following to your pyproject.toml file:

csharp
[tool.poetry.dependencies]
numpy = {version = "*", markers = "sys_platform=='linux'"}

This will ensure that numpy is only installed on Linux systems.

Yes, pip can use pyproject.toml to specify package requirements using the PEP 517/518 build backend specification.

Starting from pip version 19.0, pyproject.toml is used as the default build configuration file for projects that use PEP 517/518 build backend. Pip will use the build-system section of the pyproject.toml file to get information about how to build the project and how to install dependencies.

To install a project with dependencies specified in the pyproject.toml file, you can use the pip install command with the --use-feature=2020-resolver option, like this:

css
pip install --use-feature=2020-resolver .

This will install the project and its dependencies using the resolver introduced in pip 20.3, which is required for properly resolving dependencies specified in pyproject.toml.

Note that some older versions of pip may not support pyproject.toml, so you may need to upgrade your pip version to use it.

Toml is a configuration file format that is designed to be easy to read and write for both humans and machines. It stands for “Tom’s Obvious, Minimal Language”. It is not specific to Python, but it can be used in Python and other programming languages.

In Python, the toml module is a built-in library that provides support for parsing and creating Toml files. You can use this module to read a Toml file and convert its contents into a Python dictionary, or to write a Python dictionary to a Toml file.

Here’s an example of a simple Toml file:

makefile
# This is a comment
title = "My Blog"
author = "John Doe"

[database]
server = "localhost"
port = 5432

In this example, the file has a title and an author, and it also includes a section for database configuration with a server and a port.

To parse this file in Python using the toml module, you can use the following code:

python
import toml

with open('config.toml', 'r') as f:
    config = toml.load(f)
    
print(config['title']) # Output: "My Blog"
print(config['author']) # Output: "John Doe"
print(config['database']['server']) # Output: "localhost"
print(config['database']['port']) # Output: 5432

This code reads the contents of the config.toml file, parses it using the toml.load method, and stores the resulting dictionary in the config variable. You can then access the values in the dictionary using their keys.

setup.cfg and setup.py are both configuration files used in Python packaging, but they have different purposes and structures.

setup.py is a Python script that contains instructions for building, distributing, and installing a Python package. It typically includes information such as the package name, version, author, license, dependencies, and entry points. setup.py is run by the setuptools package, which provides functionality for building and distributing Python packages.

setup.cfg, on the other hand, is a configuration file that provides additional options and settings for setuptools. It can be used to customize various aspects of the package distribution, such as specifying which files to include or exclude from the distribution, defining package classifiers, and specifying the locations of additional package data.

In general, setup.cfg is used to supplement the information provided in setup.py with additional configuration options. However, many of the options that can be set in setup.cfg can also be specified directly in setup.py.

Overall, setup.py is the main entry point for defining the structure and metadata of a Python package, while setup.cfg provides additional customization options for the setuptools package.