view MoinMoin/util/ @ 6111:1fdd537e9d83

SubProcess: reimplement exec_cmd subclassing Popen and overriding some methods isn't pretty. the code we have was written for py 2.4 or so and the py 2.7 Popen looked quite different. this way with the timer should be less problematic.
author Thomas Waldmann <tw AT waldmann-edv DOT de>
date Tue, 06 Sep 2016 04:39:28 +0200
parents 01f05e74aa9c
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# -*- coding: iso-8859-1 -*-
    MoinMoin - Datasets

    Datasets are used by the DataBrowserWidget, and with the
    statistics code.

    @copyright: 2002 Juergen Hermann <>
    @license: GNU GPL, see COPYING for details.

class Column:
    """ Meta-data for a column.

    _SLOTS = [
        ('label', ''),
        ('sortable', 0),
        ('hidden', 0),
        ('align', ''),
        ('autofilter', 0),

    def __init__(self, name, **kw):
        """ Init a column

        keys in kw that not in slots are ignored.

        @param name: column name, unicode or ascii
        @param kw: column meta data, unicode or ascii
        """ = name
        for slot, defval in self._SLOTS:
            setattr(self, slot, kw.get(slot, defval))

class Dataset:
    """ Base dataset.

    Holds a 2-dimensional data set (m rows of n columns) and associated
    meta-data (column titles, etc.).

    Note: Dataset rows and column must contain only ascii or Unicode values!

    def __init__(self, data_id=None):
        self.columns = [] = []
        self._pos = 0
        self.data_id = data_id

    def __len__(self):
        return len(

    def reset(self):
        """ Reset iterator to start.
        self._pos = 0

    def next(self):
        """ Return next row as a tuple, ordered by columns.
        if self._pos >= len(self):
            return None

        row =[self._pos]
        self._pos += 1
        return row

    def addRow(self, row):
        """ Add a row to the dataset.

class TupleDataset(Dataset):
    """ A dataset that stores tuples.

class DictDataset(Dataset):
    """ A dataset that stores dicts as the rows.

    def next(self):
        row =
        return tuple([row[] for col in self.columns])

class DbDataset(Dataset):