Pyright Import Could Not Be Resolved

[Sabel Kantah]

Pyrightis written in TypeScript, requiring node to be installed, and is normally installed with npm. This could be an entry barrier for some Python developers as they may not have node or npm installed on their machine; I wanted to make pyright as easy to install as any normal Python package.

This project works by first checking if node is in the PATH. If it is not, then we download node at runtime using nodeenv, then install the pyright npm package using npm and finally, run the downloaded JS with node.

By default Pyright for Python is set to target a specific pyright version and new releases will be automatically created whenever a new pyright version is released. It is highly recommended to use an automatic dependency update tool such as dependabot.

If you would rather not have to update your installation every time a new pyright release is created then you can automatically use the latest available pyright version by setting the environment variable PYRIGHT_PYTHON_FORCE_VERSION to latest.

Set PYRIGHT_PYTHON_PYLANCE_VERSION to your Pylance version, e.g. 2023.11.11, latest-release, latest-prerelease. The corresponding Pyright version will be used. See Pylance's changelog for details on recent releases. Note that PYRIGHT_PYTHON_FORCE_VERSION takes precedence over PYRIGHT_PYTHON_PYLANCE_VERSION, so you'll want to set one or the other, not both.

Set PYRIGHT_PYTHON_GLOBAL_NODE to any non-truthy value, i.e. anything apart from 1, t, on, or true.e.g. offYou can optionally choose the version of node used by setting PYRIGHT_PYTHON_NODE_VERSION to the desired version

Note that Ruff's linter and Black treat line-length enforcement a little differently. Black, likeRuff's formatter, makes a best-effort attempt to adhere to theline-length, but avoids automatic line-wrapping in some cases (e.g.,within comments). Ruff, on the other hand, will flag line-too-long(E501) for any line that exceeds the line-length setting. As such, ifline-too-long (E501) is enabled, Ruff can still trigger line-lengthviolations even when Black or ruff format is enabled.

Specifically, the formatter is intended to emit near-identical output when run over Black-formattedcode. When run over extensive Black-formatted projects like Django and Zulip, > 99.9% of linesare formatted identically. When migrating an existing project from Black to Ruff, you should expectto see a few differences on the margins, but the vast majority of your code should be unchanged.

Under those conditions, Ruff implements every rule in Flake8. In practice, that means Ruffimplements all of the F rules (which originate from Pyflakes), along with a subset of the E andW rules (which originate from pycodestyle).

Note that, in some cases, Ruff uses different rule codes and prefixes than would be found in theoriginating Flake8 plugins. For example, Ruff uses TID252 to represent the I252 rule fromflake8-tidy-imports. This helps minimize conflicts across plugins and allows any individual pluginto be toggled on or off with a single (e.g.) --select TID, as opposed to --select I2 (to avoidconflicts with the isort rules, like I001).

Pylint implements many rules that Ruff does not, and vice versa. For example, Pylint does more typeinference than Ruff (e.g., Pylint can validate the number of arguments in a function call). As such,Ruff is not a "pure" drop-in replacement for Pylint (and vice versa), as they enforce different setsof rules.

Despite these differences, many users have successfully switched from Pylint to Ruff, especiallythose using Ruff alongside a type checker,which can cover some of the functionality that Pylint provides.

Like Flake8, Pylint supports plugins (called "checkers"), while Ruff implements all rules nativelyand does not support custom or third-party rules. Unlike Pylint, Ruff is capable of automaticallyfixing its own lint violations.

In some cases, Ruff's rules may yield slightly different results than their Pylint counterparts. Forexample, Ruff's too-many-branches does not count try blocks astheir own branches, unlike Pylint's R0912. Ruff's PL rule group also includes a small number ofrules from Pylint extensions (like magic-value-comparison),which need to be explicitly activated when using Pylint. By enabling Ruff's PL group, you maysee violations for rules that weren't previously enabled through your Pylint configuration.

Ruff is a linter, not a type checker. It can detect some of the same problems that a type checkercan, but a type checker will catch certain errors that Ruff would miss. The opposite is also true:Ruff will catch certain errors that a type checker would typically ignore.

For example, unlike a type checker, Ruff will notify you if an import is unused, by looking forreferences to that import in the source code; on the other hand, a type checker could flag that youpassed an integer argument to a function that expects a string, which Ruff would miss. Thetools are complementary.

It's recommended that you use Ruff in conjunction with a type checker, like Mypy, Pyright, or Pyre,with Ruff providing faster feedback on lint violations and the type checker providing more detailedfeedback on type errors.

If the src field is omitted, Ruff will default to using the "project root" as the onlyfirst-party source. The "project root" is typically the directory containing your pyproject.toml,ruff.toml, or .ruff.toml file, unless a configuration file is provided on the command-line viathe --config option, in which case, the current working directory is used as the project root.

If your pyproject.toml, ruff.toml, or .ruff.toml extends another configuration file, Ruffwill still use the directory containing your pyproject.toml, ruff.toml, or .ruff.toml file asthe project root (as opposed to the directory of the file pointed to via the extends option).

Beyond this src-based detection, Ruff will also attempt to determine the current Python packagefor a given Python file, and mark imports from within the same package as first-party. For example,above, baz.py would be identified as part of the Python package beginning at./my_project/src/foo, and so any imports in baz.py that begin with foo (like import foo.bar)would be considered first-party based on this same-package heuristic.

Alternatively, pass the notebook file(s) to ruff on the command-line directly. For example,ruff check /path/to/notebook.ipynb will always lint notebook.ipynb. Similarly,ruff format /path/to/notebook.ipynb will always format notebook.ipynb.

Enabling a convention will disable any rules that are notincluded in the specified convention. As such, the intended workflow is to enable a convention andthen selectively enable or disable any additional rules on top of it:

Preview enables a collection of newer rules and fixes that are considered experimental or unstable.See the preview documentation for more details; or, to see which rules are currentlyin preview, visit the rules reference.

In lieu of a pyproject.toml file, you can use a ruff.toml file for configuration. The twofiles are functionally equivalent and have an identical schema, with the exception that a ruff.tomlfile can omit the [tool.ruff] section header. For example:

Ruff labels fixes as "safe" and "unsafe". By default, Ruff will fix all violations for which safefixes are available, while unsafe fixes can be enabled via the unsafe-fixessetting, or passing the --unsafe-fixes flag to ruff check. Formore, see the fix documentation.

Even still, given the dynamic nature of Python, it's difficult to have complete certainty whenmaking changes to code, even for seemingly trivial fixes. If a "safe" fix breaks your code, pleasefile an Issue.

Ruff's color output is powered by the colored crate, whichattempts to automatically detect whether the output stream supports color. However, you can forcecolors off by setting the NO_COLOR environment variable to any value (e.g., NO_COLOR=1), orforce colors on by setting FORCE_COLOR to any non-empty value (e.g. FORCE_COLOR=1).

Visual Studio Code is a powerful editing tool for Python source code. The editor includes various features to help you be productive when writing code. For more information about editing in Visual Studio Code, see Basic Editing and Code Navigation.

IntelliSense is a general term for code editing features that relate to code completion. Take a moment to look at the example below. When print is typed, notice how IntelliSense populates auto-completion options. The user is also given a list of options when they begin to type the variable named greeting.

Tip: Check out the IntelliCode extension for VS Code. IntelliCode provides a set of AI-assisted capabilities for IntelliSense in Python, such as inferring the most relevant auto-completions based on the current code context. For more information, see the IntelliCode for VS Code FAQ.

Enabling the full set of IntelliSense features by default could end up making your development experience feel slower, so the Python extension enables a minimum set of features that allow you to be productive while still having a performant experience. However, you can customize the behavior of the analysis engine to your liking through multiple settings.

Pylance offers auto import suggestions for modules in your workspace and for packages you installed in your environment. As you type in the editor, you might get completion suggestions. When you accept the suggestion, auto import automatically adds the corresponding import statement to your file.

To enable IntelliSense for packages that are installed in non-standard locations, add those locations to the python.analysis.extraPaths collection in your settings.json file (the default collection is empty). For example, you might have Google App Engine installed in custom locations, specified in app.yaml if you use Flask. In this case, you'd specify those locations as follows:

GitHub Copilot is an AI-powered code completion tool that helps you write code faster and smarter. You can use the GitHub Copilot extension in VS Code to generate code, or to learn from the code it generates.

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