def create_xvg_histogram_energy_values(path_analysis, log_sort_dict):
	"""
    Create a text file which shows the energies sorted and returns the sorted dictionary
    Example:
        >>> create_xvg_histogram_energy_values(path_analysis, log_sort_dict)
    @param path_analysis: place where files are saved
    @type path_analysis: string
    @param log_sort_dict: sorted dictonary of energy values 
    @type log_sort_dict: {}
	"""	
	xvg_file = os.path.join(path_analysis, analysis.get_histogram_filename())	
	dict_file = {}

	ref_energy = float(log_sort_dict[0][1])	
	dict_file[ref_energy] = 0
	for l_item in log_sort_dict:
		if float(l_item[1]) == ref_energy:
			if ref_energy <= 0:
				dict_file[ref_energy] = dict_file[ref_energy] + 1
		else:
			ref_energy = float(l_item[1])
			dict_file[ref_energy] = 1

	f_file = open(xvg_file, "w")
	line = "#Energy\tFrequency\n"
	f_file.write(line)
	for key in sorted(dict_file):	
		value = dict_file[key]
		line = str(key)+"\t"+str(value)+"\n"
		f_file.write(line)
	f_file.close()
def main():

	root_path = sys.argv[1]

	for sub_dir in os.listdir(root_path):
		path_analysis = os.path.join(root_path, sub_dir)
		h_eger.build_histogram_energy(path_analysis, analysis.get_histogram_filename())	
def create_xvg_histogram_energy_values(path_analysis, log_sort_dict):
    """
    Create a text file which shows the energies sorted and returns the sorted dictionary
    Example:
        >>> create_xvg_histogram_energy_values(path_analysis, log_sort_dict)
    @param path_analysis: place where files are saved
    @type path_analysis: string
    @param log_sort_dict: sorted dictonary of energy values 
    @type log_sort_dict: {}
	"""
    xvg_file = os.path.join(path_analysis, analysis.get_histogram_filename())
    dict_file = {}

    ref_energy = float(log_sort_dict[0][1])
    dict_file[ref_energy] = 0
    for l_item in log_sort_dict:
        if float(l_item[1]) == ref_energy:
            if ref_energy <= 0:
                dict_file[ref_energy] = dict_file[ref_energy] + 1
        else:
            ref_energy = float(l_item[1])
            dict_file[ref_energy] = 1

    f_file = open(xvg_file, "w")
    line = "#Energy\tFrequency\n"
    f_file.write(line)
    for key in sorted(dict_file):
        value = dict_file[key]
        line = str(key) + "\t" + str(value) + "\n"
        f_file.write(line)
    f_file.close()
def main():
	config = configparser.ConfigParser()
	config.read('config.ini')

	path_analysis = config.get('DEFAULT', 'path_analysis')	
	h_eger.build_histogram_energy(path_analysis, analysis.get_histogram_filename())