@diplodoc/sentenizer - npm Package Compare versions

Comparing version 0.0.1 to 0.0.2

lib/index.js

		@@ -43,2 +43,3 @@ var __defProp = Object.defineProperty;
		var second = () => (0, import_ramda.lensIndex)(1);
		var last = () => (0, import_ramda.lensIndex)(-1);

		@@ -50,2 +51,4 @@ // src/parsers/index.ts
		var snd = (0, import_ramda2.compose)((0, import_ramda2.defaultTo)(""), (0, import_ramda2.view)(secondString));
		var lastString = last();
		var lst = (0, import_ramda2.compose)((0, import_ramda2.defaultTo)(""), (0, import_ramda2.view)(lastString));
		var sentencePattern = `([^${SENTENCE_END_MARKERS}]*?[${SENTENCE_END_MARKERS}]+)`;
		@@ -69,3 +72,6 @@ var senteceFlags = "gmu";
		var lstToken = (0, import_ramda2.compose)((0, import_ramda2.defaultTo)(""), snd, (0, import_ramda2.match)(lstTokenRegExp));
		var lstWord = (0, import_ramda2.compose)(lstToken, words);
		var wordPattern = /[\w\-а-яА-Я]+/;
		var wordFlags = "gmu";
		var wordRegExp = new RegExp(wordPattern, wordFlags);
		var lstWord = (0, import_ramda2.compose)((0, import_ramda2.compose)(lst, (0, import_ramda2.match)(wordRegExp)), lstToken, words);
		var fstChars = (width = WINDOW_WIDTH) => {
		@@ -72,0 +78,0 @@ const fstCharsPattern = `^[\\s\\S]{0,${width}}`;

lib/lenses/index.d.ts

		declare const first: <T>() => import("ramda").Lens<T[], T>;
		declare const second: <T>() => import("ramda").Lens<T[], T>;
		export { first, second };
		declare const last: <T>() => import("ramda").Lens<T[], T>;
		export { first, second, last };

package.json

		{
		"name": "@diplodoc/sentenizer",
		"version": "0.0.1",
		"version": "0.0.2",
		"description": "text segmentation into sentences",
		@@ -5,0 +5,0 @@ "homepage": "https://github.com/diplodoc-platform/sentenizer",

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