#!/usr/bin/env python3

# -*- coding: utf-8 -*-

import collections

import pandas as pd

import numpy as np

import singlecellmultiomics.pyutils as pyutils

class Statistic(object):

    """

    Statistic object, initialised with arguments

    Parameters

    ----------

    args : argparse object

    """

    def __init__(self, args):

        self.args = args

    def processRead(self, R1,R2=None):

        """

        Update the statistic with information from READ

        Parameters

        ----------

        read : PySAM Aligned segment

        Returns

        ----------

        None

        """

        pass

    def __repr__(self):

        return 'dummy'

class StatisticHistogram(Statistic):

    def __init__(self, args):

        Statistic.__init__(self, args)

        self.histogram = collections.Counter()

    def __repr__(self):

        return f'Mean {pyutils.meanOfCounter(self.histogram)}, SD:{pyutils.varianceOfCounter(self.histogram)}'

    def __iter__(self):

        return iter(self.histogram.most_common())

    def to_csv(self, path):

        pd.DataFrame({__class__.__name__: self.histogram}).to_csv(path)