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<!-- if this PR closes one or more issues, you can automatically link the PR with them by using one of the [*linking keywords*](https://docs.github.com/en/issues/tracking-your-work-with-issues/linking-a-pull-request-to-an-issue#linking-a-pull-request-to-an-issue-using-a-keyword), e.g. - this PR should close #xxxx - fixes #xxxx you can also mention related issues, PRs or discussions! --> # Description <!-- Thank you for improving Nushell. Please, check our [contributing guide](../CONTRIBUTING.md) and talk to the core team before making major changes. Description of your pull request goes here. **Provide examples and/or screenshots** if your changes affect the user experience. --> Before this change, parsing `[[[[[[[[[[[[[[[[[[[[[[` would cause nushell to consume several gigabytes of memory, now it should be linear in time. The old code first tried parsing the head of the table as a list and then after that it checked if it got more arguments. If it didn't, it throws away the previous result and tries to parse the whole thing as a list, which means we call `parse_list_expression` twice for each call to `parse_table_expression`, resulting in the exponential growth The fix is to simply check that we have all the arguments we need before parsing the head of the table, so we know that we will either call parse_list_expression only on sub-expressions or on the whole thing, never both. Fixes #10438 # User-Facing Changes Should give a noticable speedup when typing a sequence of `[[[[[[` open brackets <!-- List of all changes that impact the user experience here. This helps us keep track of breaking changes. --> # Tests + Formatting I would like to add tests, but I'm not sure how to do that without crashing CI with OOM on regression - [x] Don't forget to add tests that cover your changes. - [x] `cargo fmt --all -- --check` to check standard code formatting (`cargo fmt --all` applies these changes) - [x] `cargo clippy --workspace -- -D warnings -D clippy::unwrap_used` to check that you're using the standard code style - [x] `cargo test --workspace` to check that all tests pass (on Windows make sure to [enable developer mode](https://learn.microsoft.com/en-us/windows/apps/get-started/developer-mode-features-and-debugging)) - [x] `cargo run -- -c "use std testing; testing run-tests --path crates/nu-std"` to run the tests for the standard library <!-- > **Note** > from `nushell` you can also use the `toolkit` as follows > ```bash > use toolkit.nu # or use an `env_change` hook to activate it automatically > toolkit check pr > ``` --> # After Submitting If your PR had any user-facing changes, update [the documentation](https://github.com/nushell/nushell.github.io) after the PR is merged, if necessary. This will help us keep the docs up to date. |
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| .. | ||
| nu_plugin_custom_values | ||
| nu_plugin_example | ||
| nu_plugin_formats | ||
| nu_plugin_gstat | ||
| nu_plugin_inc | ||
| nu_plugin_python | ||
| nu_plugin_query | ||
| nu-cli | ||
| nu-cmd-base | ||
| nu-cmd-dataframe | ||
| nu-cmd-extra | ||
| nu-cmd-lang | ||
| nu-color-config | ||
| nu-command | ||
| nu-engine | ||
| nu-explore | ||
| nu-glob | ||
| nu-json | ||
| nu-parser | ||
| nu-path | ||
| nu-plugin | ||
| nu-pretty-hex | ||
| nu-protocol | ||
| nu-std | ||
| nu-system | ||
| nu-table | ||
| nu-term-grid | ||
| nu-test-support | ||
| nu-utils | ||
| README.md | ||
Nushell core libraries and plugins
These sub-crates form both the foundation for Nu and a set of plugins which extend Nu with additional functionality.
Foundational libraries are split into two kinds of crates:
- Core crates - those crates that work together to build the Nushell language engine
- Support crates - a set of crates that support the engine with additional features like JSON support, ANSI support, and more.
Plugins are likewise also split into two types:
- Core plugins - plugins that provide part of the default experience of Nu, including access to the system properties, processes, and web-connectivity features.
- Extra plugins - these plugins run a wide range of different capabilities like working with different file types, charting, viewing binary data, and more.