Accessor methods are powerful tools for extracting information or creating modified versions of a quadrille instance. These methods are strictly non-mutative, ensuring the original quadrille remains unchanged while offering detailed insights or generating derivative instances.

Queries #

Query methods provide computations and insights into the quadrille’s structure. These include operations such as search(pattern, strict) for finding cells matching specific patterns, magnitude(row) to calculate the number of non-empty cells in a row, and screenRow(pixelY, y, cellLength) or screenCol(pixelX, x, cellLength) for mapping pixel positions to grid indices.

Cell Contents #

Cell content accessors focus on retrieving information about the value and type of individual cells. You can use read(row, col) to access a cell’s content, or methods like isValid(row, col), isEmpty(row, col), isFilled(row, col), isString(row, col), isNumber(row, col), isColor(row, col), isImage(row, col), isArray(row, col), isFunction(row, col), and isObject(row, col) to determine the type of data in a specific cell.

Instance Creators #

Instance creator methods generate new quadrille instances derived from the original. These include clone() to create a shallow copy, row(row) to extract a specific row, and ring(row, col, dimension) to construct a circular subset of cells around a specified position.

Through these categories, accessor methods provide a comprehensive way to analyze and derive data from quadrille instances without altering their original state.