Buckets:

|
download
raw
16.6 kB

utils/maths

Helper module for mathematical processing.

These functions and classes are only used internally, meaning an end-user shouldn't need to access anything here.


utils/maths.uint16_to_float32

Efficiently converts a Uint16Array of float16 values to a Float32Array. This implementation uses a lazily initialized lookup table (LUT) for fast conversion.

Kind: static constant of utils/maths


utils/maths.interpolate_data(input)

Kind: static method of utils/maths

  ParamType




inputTypedArray
  

utils/maths.permute_data(array, dims, axes) ⇒ Array

Helper method to permute a AnyTypedArray directly

Kind: static method of utils/maths
Returns: Array - The permuted array and the new shape.

  ParamType




arrayT

dimsArray

axesArray
  

utils/maths.softmax(arr) ⇒ T

Compute the softmax of an array of numbers.

Kind: static method of utils/maths
Returns: T - The softmax array.

  ParamTypeDescription




arrTThe array of numbers to compute the softmax of.

  

utils/maths.log_softmax(arr) ⇒ T

Calculates the logarithm of the softmax function for the input array.

Kind: static method of utils/maths
Returns: T - The resulting log_softmax array.

  ParamTypeDescription




arrTThe input array to calculate the log_softmax function for.

  

utils/maths.dot(arr1, arr2) ⇒ number

Calculates the dot product of two arrays.

Kind: static method of utils/maths
Returns: number - The dot product of arr1 and arr2.

  ParamTypeDescription




arr1ArrayThe first array.


arr2ArrayThe second array.

  

utils/maths.cos_sim(arr1, arr2) ⇒ number

Computes the cosine similarity between two arrays.

Kind: static method of utils/maths
Returns: number - The cosine similarity between the two arrays.

  ParamTypeDescription




arr1ArrayThe first array.


arr2ArrayThe second array.

  

utils/maths.min(arr) ⇒ any

Returns the value and index of the minimum element in an array.

Kind: static method of utils/maths
Returns: any - the value and index of the minimum element, of the form: [valueOfMin, indexOfMin]
Throws:

  • Error If array is empty.

    ParamTypeDescription
    

    arrTarray of numbers.


utils/maths.max(arr) ⇒ any

Returns the value and index of the maximum element in an array.

Kind: static method of utils/maths
Returns: any - the value and index of the maximum element, of the form: [valueOfMax, indexOfMax]
Throws:

  • Error If array is empty.

    ParamTypeDescription
    

    arrTarray of numbers.


utils/maths.medianFilter(data, windowSize)

Performs median filter on the provided data. Padding is done by mirroring the data.

Kind: static method of utils/maths

  ParamTypeDescription




dataAnyTypedArrayThe input array


windowSizenumberThe window size

  

utils/maths.round(num, decimals) ⇒ number

Helper function to round a number to a given number of decimals

Kind: static method of utils/maths
Returns: number - The rounded number

  ParamTypeDescription




numnumberThe number to round


decimalsnumberThe number of decimals

  

utils/maths.bankers_round(x) ⇒ number

Helper function to round a number to the nearest integer, with ties rounded to the nearest even number. Also known as "bankers' rounding". This is the default rounding mode in python. For example: 1.5 rounds to 2 and 2.5 rounds to 2.

Kind: static method of utils/maths
Returns: number - The rounded number

  ParamTypeDescription




xnumberThe number to round

  

utils/maths.dynamic_time_warping(matrix) ⇒ Array

Measures similarity between two temporal sequences (e.g., input audio and output tokens to generate token-level timestamps).

Kind: static method of utils/maths

  ParamType




matrixArray
  

utils/maths~P2FFT

Implementation of Radix-4 FFT.

P2FFT class provides functionality for performing Fast Fourier Transform on arrays which are a power of two in length. Code adapted from https://www.npmjs.com/package/fft.js

Kind: inner class of utils/maths


new P2FFT(size)

Throws:

  • Error FFT size must be a power of two larger than 1.

    ParamTypeDescription
    

    sizenumberThe size of the input array. Must be a power of two larger than 1.


p2FFT.createComplexArray() ⇒ Float64Array

Create a complex number array with size 2 * size

Kind: instance method of P2FFT
Returns: Float64Array - A complex number array with size 2 * size


p2FFT.fromComplexArray(complex, [storage]) ⇒ Array

Converts a complex number representation stored in a Float64Array to an array of real numbers.

Kind: instance method of P2FFT
Returns: Array - An array of real numbers representing the input complex number representation.

  ParamTypeDescription




complexFloat64ArrayThe complex number representation to be converted.


[storage]ArrayAn optional array to store the result in.

  

p2FFT.toComplexArray(input, [storage]) ⇒ Float64Array

Convert a real-valued input array to a complex-valued output array.

Kind: instance method of P2FFT
Returns: Float64Array - The complex-valued output array.

  ParamTypeDescription




inputFloat64ArrayThe real-valued input array.


[storage]Float64ArrayOptional buffer to store the output array.

  

p2FFT.transform(out, data) ⇒ void

Performs a Fast Fourier Transform (FFT) on the given input data and stores the result in the output buffer.

Kind: instance method of P2FFT
Throws:

  • Error Input and output buffers must be different.

    ParamTypeDescription
    

    outFloat64ArrayThe output buffer to store the result.

    dataFloat64ArrayThe input data to transform.


p2FFT.realTransform(out, data)

Performs a real-valued forward FFT on the given input buffer and stores the result in the given output buffer. The input buffer must contain real values only, while the output buffer will contain complex values. The input and output buffers must be different.

Kind: instance method of P2FFT
Throws:

  • Error If the input and output buffers are the same.

    ParamTypeDescription
    

    outFloat64ArrayThe output buffer.

    dataFloat64ArrayThe input buffer containing real values.


p2FFT.inverseTransform(out, data) ⇒ void

Performs an inverse FFT transformation on the given data array, and stores the result in out. The out array must be a different buffer than the data array. The out array will contain the result of the transformation. The data array will not be modified.

Kind: instance method of P2FFT
Throws:

  • Error If out and data refer to the same buffer.

    ParamTypeDescription
    

    outFloat64ArrayThe output buffer for the transformed data.

    dataFloat64ArrayThe input data to transform.


p2FFT._transform4(out, data, inv) ⇒ void

Performs a radix-4 implementation of a discrete Fourier transform on a given set of data.

Kind: instance method of P2FFT

  ParamTypeDescription




outFloat64ArrayThe output buffer for the transformed data.


dataFloat64ArrayThe input buffer of data to be transformed.


invnumberA scaling factor to apply to the transform.

  

p2FFT._singleTransform2(data, out, outOff, off, step) ⇒ void

Performs a radix-2 implementation of a discrete Fourier transform on a given set of data.

Kind: instance method of P2FFT

  ParamTypeDescription




dataFloat64ArrayThe input buffer of data to be transformed.


outFloat64ArrayThe output buffer for the transformed data.


outOffnumberThe offset at which to write the output data.


offnumberThe offset at which to begin reading the input data.


stepnumberThe step size for indexing the input data.

  

p2FFT._singleTransform4(data, out, outOff, off, step, inv) ⇒ void

Performs radix-4 transformation on input data of length 8

Kind: instance method of P2FFT

  ParamTypeDescription




dataFloat64ArrayInput data array of length 8


outFloat64ArrayOutput data array of length 8


outOffnumberIndex of output array to start writing from


offnumberIndex of input array to start reading from


stepnumberStep size between elements in input array


invnumberScaling factor for inverse transform

  

p2FFT._realTransform4(out, data, inv)

Real input radix-4 implementation

Kind: instance method of P2FFT

  ParamTypeDescription




outFloat64ArrayOutput array for the transformed data


dataFloat64ArrayInput array of real data to be transformed


invnumberThe scale factor used to normalize the inverse transform

  

p2FFT._singleRealTransform2(data, out, outOff, off, step) ⇒ void

Performs a single real input radix-2 transformation on the provided data

Kind: instance method of P2FFT

  ParamTypeDescription




dataFloat64ArrayThe input data array


outFloat64ArrayThe output data array


outOffnumberThe output offset


offnumberThe input offset


stepnumberThe step

  

p2FFT._singleRealTransform4(data, out, outOff, off, step, inv)

Computes a single real-valued transform using radix-4 algorithm. This method is only called for len=8.

Kind: instance method of P2FFT

  ParamTypeDescription




dataFloat64ArrayThe input data array.


outFloat64ArrayThe output data array.


outOffnumberThe offset into the output array.


offnumberThe offset into the input array.


stepnumberThe step size for the input array.


invnumberThe value of inverse.

  

utils/maths~NP2FFT

NP2FFT class provides functionality for performing Fast Fourier Transform on arrays which are not a power of two in length. In such cases, the chirp-z transform is used.

For more information, see: https://math.stackexchange.com/questions/77118/non-power-of-2-ffts/77156#77156

Kind: inner class of utils/maths


new NP2FFT(fft_length)

Constructs a new NP2FFT object.

  ParamTypeDescription




fft_lengthnumberThe length of the FFT

  

utils/maths~magnitude(arr) ⇒ number

Calculates the magnitude of a given array.

Kind: inner method of utils/maths
Returns: number - The magnitude of the array.

  ParamTypeDescription




arrArrayThe array to calculate the magnitude of.

  

utils/maths~AnyTypedArray : Int8Array | Uint8Array | Uint8ClampedArray | Int16Array | Uint16Array | Int32Array | Uint32Array | Float16Array | Float32Array | Float64Array

Kind: inner typedef of utils/maths


Xet Storage Details

Size:
16.6 kB
·
Xet hash:
3d8de9e0961041ef2b53b9e047524e6a4be0c7e0c219b89f67e72cfdbbad3fdf

Xet efficiently stores files, intelligently splitting them into unique chunks and accelerating uploads and downloads. More info.