"""
deserialization
"""

# TODO: use `numerics`'s functionality

import csv
from .types import string


def read(fp, type=float, separator=None):
    """
    read CSV or space-separated value file `fp`
    """

    if isinstance(fp, string):
        with open(fp) as f:
            return read(f, type=type, separator=separator)

    try:
        # whitespace separated values
        return [[type(i)
                for i in line.strip().split(separator)]
                for line in fp.read().strip().splitlines()]
    except ValueError:
        # CSV
        fp.seek(0)
        kwargs = {}
        if separator is not None:
            kwargs['delimeter'] = separator
        rows = [row for row in csv.reader(fp, **kwargs)]
        return [[type(i) for i in row]
                for row in rows]