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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def xqrs_detect(sig, fs, sampfrom=0, sampto='end', conf=None, learn=True, verbose=True):
 """ Run the 'xqrs' qrs detection algorithm on a signal. See the docstring of the XQRS class for algorithm details. Parameters sig : numpy array The input ecg signal to apply the qrs detection on. fs : int or float The sampling frequency of the input signal. sampfrom : int, optional The starting sample number to run the detection on. sampto : The final sample number to run the detection on. Set as 'end' to run on the entire signal. conf : XQRS.Conf object, optional The configuration object specifying signal configuration parameters. See the docstring of the XQRS.Conf class. learn : bool, optional Whether to apply learning on the signal before running the main detection. If learning fails or is not conducted, the default configuration parameters will be used to initialize these variables. verbose : bool, optional Whether to display the stages and outcomes of the detection process. Returns ------- qrs_inds : numpy array The indices of the detected qrs complexes Examples -------- """

    xqrs = XQRS(sig=sig, fs=fs, conf=conf)
    xqrs.detect(sampfrom=sampfrom, sampto=sampto, verbose=verbose)
    return xqrs.qrs_inds