def __init__(self, context, filename, params=None): Plugin.__init__(self) params = params or {} delim = params.get("delim") or ":" items = [] line = None names = None splitter = re.compile(r'\s*%s\s*' % re.escape(delim)) try: f = open(filename) except IOError as e: return self.fail("%s: %s" % (filename, e)) for line in f: line = line.rstrip("\n\r") if not line or line.startswith("#") or line.isspace(): continue fields = splitter.split(line) if names is None: names = fields else: fields.extend([None] * (len(names) - len(fields))) items.append(dict(zip(names, fields))) f.close() self.items = items
def __init__(self, context, filename, params=None): Plugin.__init__(self) params = params or {} delim = params.get("delim") or ":" items = [] line = None names = None splitter = re.compile(r'\s*%s\s*' % re.escape(delim)) try: f = open(filename) except IOError, e: return self.fail("%s: %s" % (filename, e))
def __init__(self, context, *args): Plugin.__init__(self) args, config = self._split_arguments(args) if "text" in config: self._text = config["text"] elif args: self._text = args[0] else: self._text = "" self.filters = [] self._CONTEXT = context filter = config.get("filter") or config.get("filters") if filter: self.output_filter(filter)
def __init__(self, context, name=None, config=None): if isinstance(name, dict): name, config = None, name Plugin.__init__(self) if not isinstance(config, dict): config = {} if name is None: name = config.get("name") if not name: return self.throw("no image file specfied") root = config.get("root") if root: file = os.path.join(root, name) else: file = config.get("file") or name self.__name = name self.__file = file self.__root = root self.__size = None self.__width = None self.__height = None self.__alt = config.get("alt", "")
def __init__(self, context, config=None): Plugin.__init__(self) self.__config = config # unused
def __init__(self, context, data, params=None): """Initialises the object to iterate through the data set passed by list as the first parameter. It calculates the shape of the permutation table based on the ROWS or COLS parameters specified in the params dictionary. The OVERLAP parameter may be provided to specify the number of common items that should be shared between subseqent columns. """ Plugin.__init__(self) if isinstance(data, Iterator): data, error = data.get_all() if error: raise Error("iterator failed to provide data for table: %s" % error) if not isinstance(data, (tuple, list)): raise Error("invalid table data, expecting a list") if params is None: params = {} if not isinstance(params, dict): raise Error("invalid table parameters, expecting a dict") # ensure keys are folded to upper case params.update( dict((str(key).upper(), value) for key, value in params.iteritems())) size = len(data) overlap = params.get("OVERLAP", 0) rows = params.get("ROWS") cols = params.get("COLS") if rows: if size < rows: rows = size cols = 1 coloff = 0 else: coloff = rows - overlap cols = size / coloff + int(size % coloff > overlap) elif cols: if size < cols: cols = size rows = 1 coloff = 1 else: coloff = size / cols + int(size % cols > overlap) rows = coloff + overlap else: rows = size cols = 1 coloff = 0 self._DATA = data self._SIZE = size self._NROWS = rows self._NCOLS = cols self._COLOFF = coloff self._OVERLAP = overlap self._PAD = params.get("PAD") if self._PAD is None: self._PAD = 1
def __init__(self, context, value): Plugin.__init__(self) self.__value = value
def __init__(self, context, *args): Plugin.__init__(self) self._args, self._config = self._split_arguments(args) self._dynamic = self.DYNAMIC self._context = context self._cached_filter = None
def __init__(self, context, args=None): Plugin.__init__(self) self.__sorted = bool(args and args.get("sorted"))
def __init__(self, context, data, params=None): """Initialises the object to iterate through the data set passed by list as the first parameter. It calculates the shape of the permutation table based on the ROWS or COLS parameters specified in the params dictionary. The OVERLAP parameter may be provided to specify the number of common items that should be shared between subseqent columns. """ Plugin.__init__(self) if isinstance(data, Iterator): data, error = data.get_all() if error: raise Error("iterator failed to provide data for table: %s" % error) if not isinstance(data, (tuple, list)): raise Error("invalid table data, expecting a list") if params is None: params = {} if not isinstance(params, dict): raise Error("invalid table parameters, expecting a dict") # ensure keys are folded to upper case params.update(dict((str(key).upper(), value) for key, value in params.iteritems())) size = len(data) overlap = params.get("OVERLAP", 0) rows = params.get("ROWS") cols = params.get("COLS") if rows: if size < rows: rows = size cols = 1 coloff = 0 else: coloff = rows - overlap cols = size / coloff + int(size % coloff > overlap) elif cols: if size < cols: cols = size rows = 1 coloff = 1 else: coloff = size / cols + int(size % cols > overlap) rows = coloff + overlap else: rows = size cols = 1 coloff = 0 self._DATA = data self._SIZE = size self._NROWS = rows self._NCOLS = cols self._COLOFF = coloff self._OVERLAP = overlap self._PAD = params.get("PAD") if self._PAD is None: self._PAD = 1