def load_data(self, profdatafile):
        """Load line profiler data saved by kernprof module"""
        # lstats has the following layout :
        # lstats.timings =
        #     {(filename1, line_no1, function_name1):
        #         [(line_no1, hits1, total_time1),
        #          (line_no2, hits2, total_time2)],
        #      (filename2, line_no2, function_name2):
        #         [(line_no1, hits1, total_time1),
        #          (line_no2, hits2, total_time2),
        #          (line_no3, hits3, total_time3)]}
        # lstats.unit = time_factor
        with open(profdatafile, 'rb') as fid:
            lstats = pickle.load(fid)

        # First pass to group by filename
        self.stats = dict()
        linecache.checkcache()
        for func_info, stats in lstats.timings.items():
            # func_info is a tuple containing (filename, line, function anme)
            filename, start_line_no = func_info[:2]

            # Read code
            start_line_no -= 1  # include the @profile decorator
            all_lines = linecache.getlines(filename)
            block_lines = inspect.getblock(all_lines[start_line_no:])

            # Loop on each line of code
            func_stats = []
            func_total_time = 0.0
            next_stat_line = 0
            for line_no, code_line in enumerate(block_lines):
                line_no += start_line_no + 1  # Lines start at 1
                code_line = code_line.rstrip('\n')
                if (next_stat_line >= len(stats)
                        or line_no != stats[next_stat_line][0]):
                    # Line didn't run
                    hits, line_total_time, time_per_hit = None, None, None
                else:
                    # Compute line times
                    hits, line_total_time = stats[next_stat_line][1:]
                    line_total_time *= lstats.unit
                    time_per_hit = line_total_time / hits
                    func_total_time += line_total_time
                    next_stat_line += 1
                func_stats.append(
                    [line_no, code_line, line_total_time, time_per_hit,
                     hits])

            # Compute percent time
            for line in func_stats:
                line_total_time = line[2]
                if line_total_time is None:
                    line.append(None)
                else:
                    line.append(line_total_time / func_total_time)

            # Fill dict
            self.stats[func_info] = [func_stats, func_total_time]
dataset/ETHPy150Open Nodd/spyder_line_profiler/widgets/lineprofilergui.py/LineProfilerDataTree.load_data/original