Source code for dclab.rtdc_dataset.fmt_dict

# -*- coding: utf-8 -*-
"""RT-DC dictionary format"""
from __future__ import division, print_function, unicode_literals

import time

from .config import Configuration
from .core import RTDCBase
from .util import hashobj

[docs]class RTDC_Dict(RTDCBase): def __init__(self, ddict, *args, **kwargs): """Dictionary-based RT-DC dataset Parameters ---------- ddict: dict Dictionary with keys from `dclab.definitions.feature_names` (e.g. "area_cvx", "deform", "image") with which the class will be instantiated. The configuration is set to the default configuration of dclab. *args: Arguments for `RTDCBase` **kwargs: Keyword arguments for `RTDCBase` """ assert ddict super(RTDC_Dict, self).__init__(*args, **kwargs) t = time.localtime() # Get an identifying string keys = list(ddict.keys()) keys.sort() ids = hashobj(ddict[keys[0]]) self._ids = ids self.path = "none" self.title = "{}_{:02d}_{:02d}/{}.dict".format(t[0], t[1], t[2],ids) # Populate events self._events = {} for key in ddict: self._events[key] = ddict[key] event_count = len(ddict[list(ddict.keys())[0]]) self.config = Configuration() self.config["experiment"]["event count"] = event_count # Set up filtering self._init_filters() @property def hash(self): return self._ids