node-nlp
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Library for NLU (Natural Language Understanding) done in Node.js
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<h1 class="page-title">Source: xtables/xtable.js</h1>
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<pre class="prettyprint source linenums"><code>/*
* Copyright (c) AXA Shared Services Spain S.A.
*
* Permission is hereby granted, free of charge, to any person obtaining
* a copy of this software and associated documentation files (the
* "Software"), to deal in the Software without restriction, including
* without limitation the rights to use, copy, modify, merge, publish,
* distribute, sublicense, and/or sell copies of the Software, and to
* permit persons to whom the Software is furnished to do so, subject to
* the following conditions:
*
* The above copyright notice and this permission notice shall be
* included in all copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
* EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
* MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
* NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE
* LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION
* OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION
* WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
*/
/**
* Represents an excel table, where first row is the title, second row the
* name of each column, and next rows the data.
*/
class XTable {
/**
* Constructor of the class.
* @param {Object[][]} matrix Matrix with the data from the excel table.
*/
constructor(matrix) {
this.build(matrix);
}
/**
* Build the instance from a block of the excel representing the table.
* @param {Object[][]} block Block of data directly from the excel.
*
*/
build(matrix) {
this.keys = [];
this.data = [];
if (!matrix || matrix.length < 2 || !matrix[0] || matrix[0].length < 1) {
this.name = '';
return;
}
this.name = matrix[0][0].w;
let row = matrix[1];
for (let i = 0, l = row.length; i < l; i += 1) {
if (row[i] && row[i].w) {
this.keys.push(row[i].w);
} else {
this.keys.push(`_column_${i}`);
}
}
for (let i = 2, li = matrix.length; i < li; i += 1) {
row = matrix[i];
const obj = {};
for (let j = 0, lj = row.length; j < lj; j += 1) {
obj[this.keys[j]] = row[j] && row[j].w ? row[j].w : undefined;
}
this.data.push(obj);
}
}
/**
* Indicates if a row match a given query.
* @param {Object} row Row to match
* @param {Object} query Query for the match
* @returns {boolean} True if the row matchs the query, false otherwise.
*/
match(row, query) {
for (let i = 0, l = this.keys.length; i < l; i += 1) {
const key = this.keys[i];
const value = query[key];
if (value && value !== row[key]) {
return false;
}
}
return true;
}
/**
* Given a query, find the rows that match the given query
* @param {Objet} query Query for the match.
* @returns {Object[]} Rows that match the query, cloned.
*/
find(query) {
const result = [];
for (let i = 0, l = this.data.length; i < l; i += 1) {
const row = this.data[i];
if (this.match(row, query)) {
result.push(Object.assign({}, row));
}
}
return result;
}
/**
* Givena query, find the first row that match the query.
* @param {Object} query Query for the match.
* @returns {Object} First row that match the query, cloned.
*/
findOne(query) {
for (let i = 0, l = this.data.length; i < l; i += 1) {
const row = this.data[i];
if (this.match(row, query)) {
return Object.assign({}, row);
}
}
return undefined;
}
}
module.exports = XTable;
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