export function mean(data: unknown): number { // discuss at: https://locutus.io/python/statistics/mean/ // parity verified: Python 3.12 // original by: Kevin van Zonneveld (https://kvz.io) // note 1: Returns the arithmetic mean and preserves exact integer results when Python does. // example 1: mean([1, 2, 3]) // returns 1: 2 // example 2: mean([1, 2, 3, 4]) // returns 2: 2.5 // example 3: mean([true, false, true]) // returns 3: 0.6666666666666666 const sequence = toNumericSequence(data, 'mean') if (sequence.values.length === 0) { throw new Error('mean requires at least one data point') } return statisticsMeanFromSequence(sequence) } type NumericSequence = { values: number[] integral: boolean } function toNumericSequence(data: unknown, functionName: string): NumericSequence { const values = assertStatisticsArray(data, functionName) return { values: values.map((value) => toStatisticNumber(value, functionName)), integral: values.every(isIntegralStatisticValue), } } function statisticsMeanFromSequence(sequence: NumericSequence): number { return divideStatisticsValue(sumNumbers(sequence.values), sequence.values.length, sequence.integral) } function assertStatisticsArray(data: unknown, functionName: string): unknown[] { if (!Array.isArray(data)) { throw new TypeError(`${functionName}() data must be an array`) } return data } function toStatisticNumber(value: unknown, functionName: string): number { if (typeof value === 'number') { return value } if (typeof value === 'boolean') { return value ? 1 : 0 } if (typeof value === 'bigint') { const numericValue = Number(value) if (!Number.isSafeInteger(numericValue)) { throw new RangeError(`${functionName}() bigint values must fit within JS safe integers`) } return numericValue } throw new TypeError(`${functionName}() data must contain only real numbers`) } function isIntegralStatisticValue(value: unknown): boolean { return ( typeof value === 'boolean' || typeof value === 'bigint' || (typeof value === 'number' && Number.isInteger(value)) ) } function sumNumbers(values: number[]): number { return values.reduce((sum, value) => sum + value, 0) } function divideStatisticsValue(total: number, divisor: number, integral: boolean): number { if (integral && Number.isSafeInteger(total) && total % divisor === 0) { return total / divisor } return total / divisor }