Search Results for "hard"

...When using npm, if you have 100 projects using lodash, you will have 100 copies of lodash on disk. With pnpm, lodash will be stored in a content-addressable storage. Files inside node_modules are cloned or hard-linked from a single content-addressable storage. pnpm has built-in support for multiple packages in a repository. pnpm creates a non-flat node_modules by default, so code has no access to arbitrary packages.

Get the current package's binary path (using the package.json bin field). This is useful when testing a package's binary. Using get-bin-path (as opposed to hard-coding the path to the binary). Validates that the package.json bin field is correctly setup. Decouples the binary path from the tests, which allows moving the file without rewriting the tests. This package is an ES module and must be loaded using an import or import() statement, not require(). Returns the current package's binary absolute path. ...

...Originally made for a project that relies on a lot of 3rd party APIs that can be unpredictable and complex. Encoding/json requires you to know exactly your data structures, or if you prefer to use map[string]interface{} instead, it will be very slow and hard to manage. I investigated what's on the market and found that most libraries are just wrappers around encoding/json, there is few options with own parsers (ffjson, easyjson), but they still require you to create data structures. The goal of this project is to push JSON parser to the performance limits and not sacrifice with compliance and developer user experience.

...You can use a slightly simplified version of AlphaFold with this Colab notebook or community-supported versions. The total download size for the full databases is around 415 GB and the total size when unzipped is 2.2 TB. Please make sure you have a large enough hard drive space, bandwidth and time to download. We recommend using an SSD for better genetic search performance.

NPS (Node Package Scripts) is an advanced alternative to NPM scripts that improves maintainability by allowing JavaScript-based task definitions. It removes the need for complex package.json script structures, enabling developers to create modular and readable task automation workflows.