tiburona

function [wave] = removeLineNoise_SpectrumEstimation(wave, fs, opts)
% [wave] = removeLineNoise_SpectrumEstimation(wave, [fs], [opts])
% removeLineNoise_SpectrumEstimation removes line noise (50/60 Hz) from a
%  (chans/trials x samples) matrix, wave, which is samplel at fs Hz, and
%  returns the de-noised matrix, wave. 
%  The behaviour of the line noise removal algorithm can be controlled by
%  an optional input string, 'opts'. The following options are defined:
%       NH  = number of harmonics. (default: 1)
%       LF  = line frequency. (default: 50 Hz)
%       TOL = error tolerence. (default: 1% tol)

tiburona

def generate_AST(string):
  
  # my implementation is currently supporting negative numbers and decimals,
  # but not exponentiation
  
  number_symbols = ['0', '1', '2', '3', '4', '5', '6', '7', '8', '9', '.', '-']
  
  ind = 1 
  arr_to_return = []
  

tiburona

def generate_AST(string):
  
  # my implementation is currently supporting negative numbers and decimals,
  # but not exponentiation
  
  number_symbols = ['0', '1', '2', '3', '4', '5', '6', '7', '8', '9', '.', '-']
  
  ind = 1 
  arr_to_return = []
  

tiburona

//a solution to this CodeWars kata: https://www.codewars.com/kata/nesting-structure-comparison/javascript

Array.prototype.sameStructureAs = function (other) {
  // Return 'true' if and only if 'other' has the same
  // nesting structure as 'this'.
    
  const isArray = Array.isArray
  
  var equal = true