export { default as config } from "./config";
export { default as dtypes } from "./dtypes";
export { default as ndarray } from "ndarray";
import { NdArray, ArbDimNumArray, ArrayLikeConstructor, DType } from "./ndarray";
export { NdArray };
import * as errors from "./errors";
export { errors };
export declare function broadcast(shape1: number[], shape2: number[]): number[];
/**
 * Add arguments, element-wise.
 */
export declare function add(a: NdArray | ArbDimNumArray | number, b: NdArray | ArbDimNumArray | number): NdArray;
/**
 * Multiply arguments, element-wise.
 */
export declare function multiply(a: ArbDimNumArray | NdArray, b: ArbDimNumArray | NdArray | number): NdArray;
/**
 * Divide `a` by `b`, element-wise.
 */
export declare function divide(a: ArbDimNumArray | NdArray, b: ArbDimNumArray | NdArray | number): NdArray;
/**
 * Subtract second argument from the first, element-wise.
 */
export declare function subtract(a: ArbDimNumArray | NdArray | number, b: ArbDimNumArray | NdArray | number): NdArray;
/**
 * Return true if two arrays have the same shape and elements, false otherwise.
 */
export declare function equal(array1: ArbDimNumArray | NdArray, array2: ArbDimNumArray | NdArray): boolean;
/**
 * Return a copy of the array collapsed into one dimension using row-major order (C-style)
 */
export declare function flatten(array: ArbDimNumArray | NdArray): NdArray;
/**
 * Gives a new shape to an array without changing its data.
 * @param array
 * @param shape - The new shape should be compatible with the original shape. If an integer, then the result will be a 1-D array of that length
 */
export declare function reshape(array: ArbDimNumArray | NdArray, shape: number[] | number): NdArray;
/**
 * Calculate the exponential of all elements in the input array, element-wise.
 */
export declare function exp(x: ArbDimNumArray | NdArray | number): NdArray;
/**
 * Calculate the natural logarithm of all elements in the input array, element-wise.
 */
export declare function log(x: ArbDimNumArray | NdArray | number): NdArray;
/**
 * Calculate the positive square-root of all elements in the input array, element-wise.
 */
export declare function sqrt(x: ArbDimNumArray | NdArray | number): NdArray;
/**
 * Raise first array elements to powers from second array, element-wise.
 */
export declare function power(x1: ArbDimNumArray | NdArray | number, x2: ArbDimNumArray | NdArray | number): NdArray;
/**
 * Return the sum of input array elements.
 */
export declare function sum(x: ArbDimNumArray | NdArray | number): number;
/**
 * Return the arithmetic mean of input array elements.
 */
export declare function mean(x: ArbDimNumArray | NdArray | number): number;
/**
 * Returns the standard deviation, a measure of the spread of a distribution, of the input array elements.
 */
export declare function std(x: ArbDimNumArray | NdArray | number, options?: {
    ddof: number;
}): number;
/**
 * Return the minimum value of the array
 */
export declare function min(x: ArbDimNumArray | NdArray | number): number;
/**
 * Return the maximum value of the array
 */
export declare function max(x: ArbDimNumArray | NdArray | number): number;
/**
 * Return element-wise remainder of division.
 * Computes the remainder complementary to the `floor` function. It is equivalent to the Javascript modulus operator``x1 % x2`` and has the same sign as the divisor x2.
 */
export declare function mod(x1: NdArray | ArbDimNumArray | number, x2: NdArray | ArbDimNumArray | number): NdArray;
/**
 * Permute the dimensions of the input array according to the given axes.
 */
export declare function transpose(x: NdArray | ArbDimNumArray | number, axes?: number[]): NdArray;
/**
 * Return the inverse of the input array, element-wise.
 */
export declare function negative(x: ArbDimNumArray | NdArray | number): NdArray;
/**
 * Return evenly spaced values within a given interval.
 *
 * @param start - Default 0 (int). Start of interval. The interval includes this value.
 * @param stop - End of interval (int). The interval does not include this value.
 * @param step - Default 1 (int). Spacing between values. The default step size is 1. If step is specified, start must also be given.
 * @param dtype Defaut is "array". The type of the output array. Either string (e.g. 'uint8') or a Constructor function (e.g. Uint8Array).
 */
export declare function arange(start: number, stop: number, step: number, dtype: DType | ArrayLikeConstructor): NdArray;
export declare function arange(start: number, stop: number, step: number): NdArray;
export declare function arange(start: number, stop: number, dtype: DType | ArrayLikeConstructor): NdArray;
export declare function arange(start: number, stop: number): NdArray;
export declare function arange(stop: number, dtype: DType | ArrayLikeConstructor): NdArray;
export declare function arange(stop: number): NdArray;
/**
 * Return a new array of given shape and type, filled with zeros.
 *
 * @param shape - Shape of the new array, e.g., [2, 3] or 2.
 * @param dtype Defaut is "array". The type of the output array. E.g., 'uint8' or Uint8Array.
 *
 */
export declare function zeros(shape: number | number[], dtype?: DType | ArrayLikeConstructor): NdArray;
/**
 * Return a new array of given shape and type, filled with ones.
 *
 * @param shape - Shape of the new array, e.g., [2, 3] or 2.
 * @param dtype - Defaut is "array". The type of the output array. E.g., 'uint8' or Uint8Array.
 *
 * @return Array of ones with the given shape and dtype
 */
export declare function ones(shape: number[] | number, dtype?: DType | ArrayLikeConstructor): NdArray;
/**
 * Return a new array of given shape and type, filled with `undefined` values.
 *
 * @param shape - Shape of the new array, e.g., [2, 3] or 2.
 * @param dtype - Defaut is "array". The type of the output array. E.g., 'uint8' or Uint8Array.
 *
 * @return Array of `undefined` values with the given shape and dtype
 */
export declare function empty(shape: number[] | number, dtype?: DType | ArrayLikeConstructor): NdArray;
/**
 * Create an array of the given shape and propagate it with random samples from a uniform distribution over [0, 1].
 * @param shape - The dimensions of the returned array, should all be positive integers
 */
export declare function random(...shape: number[]): NdArray;
export declare function random(shape?: number | number[]): NdArray;
/**
 * Return the softmax, or normalized exponential, of the input array, element-wise.
 */
export declare function softmax(x: ArbDimNumArray | NdArray | number): NdArray;
/**
 * Return the sigmoid of the input array, element-wise.
 * @param x
 * @param t - stifness parameter
 */
export declare function sigmoid(x: ArbDimNumArray | NdArray | number, t?: number): NdArray;
/**
 * Clip (limit) the values in an array between min and max, element-wise.
 */
export declare function clip(x: ArbDimNumArray | NdArray | number, min?: number, max?: number): NdArray;
export declare function leakyRelu(x: NdArray | ArbDimNumArray | number, alpha?: number): NdArray;
/**
 * Return hyperbolic tangent of the input array, element-wise.
 */
export declare function tanh(x: ArbDimNumArray | NdArray | number): NdArray;
/**
 * Return absolute value of the input array, element-wise.
 */
export declare function abs(x: ArbDimNumArray | NdArray | number): NdArray;
/**
 * Return trigonometric cosine of the input array, element-wise.
 */
export declare function cos(x: ArbDimNumArray | NdArray | number): NdArray;
/**
 * Return trigonometric inverse cosine of the input array, element-wise.
 */
export declare function arccos(x: ArbDimNumArray | NdArray | number): NdArray;
/**
 * Return trigonometric sine of the input array, element-wise.
 */
export declare function sin(x: ArbDimNumArray | NdArray | number): NdArray;
/**
 * Return trigonometric inverse sine of the input array, element-wise.
 */
export declare function arcsin(x: ArbDimNumArray | NdArray | number): NdArray;
/**
 * Return trigonometric tangent of the input array, element-wise.
 */
export declare function tan(x: ArbDimNumArray | NdArray | number): NdArray;
/**
 * Return trigonometric inverse tangent of the input array, element-wise.
 */
export declare function arctan(x: ArbDimNumArray | NdArray | number): NdArray;
/**
 * Dot product of two arrays.
 *
 * WARNING: supported products are:
 *  - matrix dot matrix
 *  - vector dot vector
 *  - matrix dot vector
 *  - vector dot matrix
 */
export declare function dot(a: ArbDimNumArray | NdArray, b: ArbDimNumArray | NdArray): NdArray;
/**
 * Join given arrays along the last axis.
 */
export declare function concatenate(...arrays: Array<number | ArbDimNumArray | NdArray>): NdArray;
export declare function concatenate(arrays: Array<number | ArbDimNumArray | NdArray>): NdArray;
/**
 * Round an array to the to the nearest integer.
 */
export declare function round(x: ArbDimNumArray | NdArray): NdArray;
/**
 * Convolve 2 N-dimensionnal arrays
 *
 * @note: Arrays must have the same dimensions and a must be greater than b.
 * @note: The convolution product is only given for points where the signals overlap completely. Values outside the signal boundary have no effect. This behaviour is known as the 'valid' mode.
 */
export declare function convolve(a: ArbDimNumArray | NdArray, b: ArbDimNumArray | NdArray): NdArray;
/**
 * Convolve 2 N-dimensionnal arrays using Fast Fourier Transform (FFT)
 *
 * @note: Arrays must have the same dimensions and a must be greater than b.
 * @note: The convolution product is only given for points where the signals overlap completely. Values outside the signal boundary have no effect. This behaviour is known as the 'valid' mode.
 */
export declare function fftconvolve(a: ArbDimNumArray | NdArray, b: ArbDimNumArray | NdArray): NdArray;
export declare function fft(x: ArbDimNumArray | NdArray): NdArray;
export declare function ifft(x: ArbDimNumArray | NdArray): NdArray;
/**
 * Extract a diagonal or construct a diagonal array.
 * @returns a view a of the original array when possible, a new array otherwise
 */
export declare function diag(x: ArbDimNumArray | NdArray): NdArray;
/**
 * The identity array is a square array with ones on the main diagonal.
 * @param n number of rows (and columns) in n x n output.
 * @param dtype Defaut is "array". The type of the output array. E.g., 'uint8' or Uint8Array.
 * @return n x n array with its main diagonal set to one, and all other elements 0
 */
export declare function identity(n: number, dtype?: DType | ArrayLikeConstructor): NdArray;
/**
 * Join a sequence of arrays along a new axis.
 * The axis parameter specifies the index of the new axis in the dimensions of the result.
 * For example, if axis=0 it will be the first dimension and if axis=-1 it will be the last dimension.
 * @param arrays Sequence of array_like
 * @param axis The axis in the result array along which the input arrays are stacked.
 * @return The stacked array has one more dimension than the input arrays.
 */
export declare function stack(arrays: Array<NdArray | ArbDimNumArray | number>, axis?: number): NdArray;
/**
 * Reverse the order of elements in an array along the given axis.
 * The shape of the array is preserved, but the elements are reordered.
 * New in version 0.15.0.
 * @param m Input array.
 * @param axis Axis in array, which entries are reversed.
 * @return A view of `m` with the entries of axis reversed.  Since a view is returned, this operation is done in constant time.
 */
export declare function flip(m: ArbDimNumArray | NdArray, axis: number): NdArray;
/**
 * Rotate an array by 90 degrees in the plane specified by axes.
 * Rotation direction is from the first towards the second axis.
 * New in version 0.15.0.
 * @param m array_like
 * @param k Number of times the array is rotated by 90 degrees.
 * @param axes Default [0, 1]. The array is rotated in the plane defined by the axes. Axes must be different.
 * @return A rotated view of m.
 */
export declare function rot90(m: ArbDimNumArray | NdArray, k?: number, axes?: number[] | NdArray): NdArray;
/**
 * @param dtype Defaut is "array". The type of the output array. E.g., 'uint8' or Uint8Array.
 */
export declare const array: typeof NdArray.new;
export declare const remainder: typeof mod;
export declare function int8(array: ArbDimNumArray | number): NdArray;
export declare function uint8(array: ArbDimNumArray | number): NdArray;
export declare function int16(array: ArbDimNumArray | number): NdArray;
export declare function uint16(array: ArbDimNumArray | number): NdArray;
export declare function int32(array: ArbDimNumArray | number): NdArray;
export declare function uint32(array: ArbDimNumArray | number): NdArray;
export declare function float32(array: ArbDimNumArray | number): NdArray;
export declare function float64(array: ArbDimNumArray | number): NdArray;
export declare function uint8Clamped(array: ArbDimNumArray | number): NdArray;