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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 advance(self, blocksize, timeout=10):
 """Advanced buffer blocksize seconds. Add blocksize seconds more to the buffer, push blocksize seconds from the beginning. Parameters blocksize: int The number of seconds to attempt to read from the channel Returns ------- status: boolean Returns True if this block is analyzable. """

        ts = super(StrainBuffer, self).attempt_advance(blocksize, timeout=timeout)
        self.blocksize = blocksize

        # We have given up so there is no time series
        if ts is None:
            logging.info("%s frame is late, giving up", self.detector)
            self.null_advance_strain(blocksize)
            if self.state:
                self.state.null_advance(blocksize)
            if self.dq:
                self.dq.null_advance(blocksize)
            return False

        # We collected some data so we are closer to being able to analyze data
        self.wait_duration -= blocksize

        # If the data we got was invalid, reset the counter on how much to collect
        # This behavior corresponds to how we handle CAT1 vetoes
        if self.state and self.state.advance(blocksize) is False:
            self.add_hard_count()
            self.null_advance_strain(blocksize)
            if self.dq:
                self.dq.null_advance(blocksize)
            logging.info("%s time has invalid data, resetting buffer",
                         self.detector)
            return False

        # Also advance the dq vector in lockstep
        if self.dq:
            self.dq.advance(blocksize)

        self.segments = {}

        # only condition with the needed raw data so we can continuously add
        # to the existing result

        # Precondition
        sample_step = int(blocksize * self.sample_rate)
        csize = sample_step + self.corruption * 2
        start = len(self.raw_buffer) - csize * self.factor
        strain = self.raw_buffer[start:]

        strain =  pycbc.filter.highpass_fir(strain, self.highpass_frequency,
                                       self.highpass_samples,
                                       beta=self.beta)
        strain = (strain * self.dyn_range_fac).astype(numpy.float32)

        strain = pycbc.filter.resample_to_delta_t(strain,
                                           1.0/self.sample_rate, method='ldas')

        # remove corruption at beginning
        strain = strain[self.corruption:]

        # taper beginning if needed
        if self.taper_immediate_strain:
            logging.info("Tapering start of %s strain block", self.detector)
            strain = gate_data(strain, [(strain.start_time, 0., self.autogating_pad)])
            self.taper_immediate_strain = False

        # Stitch into continuous stream
        self.strain.roll(-sample_step)
        self.strain[len(self.strain) - csize + self.corruption:] = strain[:]
        self.strain.start_time += blocksize

        # apply gating if need be: NOT YET IMPLEMENTED
        if self.psd is None and self.wait_duration <=0:
            self.recalculate_psd()

        if self.wait_duration > 0:
            return False
        else:
            return True