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the lexicographical distance between two texts.","maintainers":[{"name":"jin","email":"nin-jin@ya.ru"}],"readme":"# $mol_text_distance\n\nCalculates the lexicographical distance between two texts.\n\n## Algorithm\n\n- A simple and fast.\n- Text profile based.\n- Normalized from 0 (equal) to 1 (different).\n- Rearrangement of words gives short distance.\n- Different texts length support.\n- Independent of changes position.\n- Complexity O(n).\n- Memory usage O(log n).\n- For equal length texts it's a [metric](https://en.wikipedia.org/wiki/Metric_(mathematics)).\n\n## Usage\n\n```ts\n// 0.18\n$mol_text_distance(\n\t`little meerkat jumps over big elephant`,\n\t`over little elephant jumps big meerkat`,\n)\n\n// 0.66\n$mol_text_distance(\n\t`A structural comparison of arbitrary objects is discussed.`,\n\t`Application of caching for correct comparison of cyclic references is disclosed.`,\n)\n```\n\n```ts\nconst profile1 = $mol_text_profile( `profile` )\nconst profile2 = $mol_text_profile( `prodir` )\nconst distance = $mol_text_profile_distance( profile1, profile2 ) // 0.54\n```\n\n## NPM Bundle\n\n```sh\nnpm install mol_text_distance\n```\n\n1KB [![](https://badgen.net/bundlephobia/minzip/mol_text_distance)](https://bundlephobia.com/package/mol_text_distance)\n\n```ts\nimport { $mol_text_distance } from 'mol_text_distance'\n```\n","readmeFilename":"README.md"}