def __init__(self, frames): Sequence.__init__(self) # frames is a tuple of frame tuples: see Frame constructor for the # format of a frame tuple; it is reversed, because _tracemalloc # returns frames sorted from most recent to oldest, but the # Python API expects oldest to most recent self._frames = tuple(reversed(frames))
def __init__(self, fname='', dat=None): """ Initialization for SpectralImage can be from a filename or metadata dictionary. hdf5 filename is checked against list of supported file types. Dictionary supercedes loading from a file. Parameters ---------- fname : str filename of hdf5 file to open dat : DictionaryTreeBrowser metadata dictionary """ if dat is not None: assert isinstance(dat, DictionaryTreeBrowser) self.dat = dat.copy() elif self.is_supported(fname): self.load_h5_data(fname) else: raise Exception('No valid dictionary or filename supplied.') return self.load_from_metadata() Sequence.__init__(self) if self.is_supported(fname): print('Load from %s complete.' % fname) print('%d x %d x %d spatial x %d spectral points' % (len(self.z_array), len(self.x_array), len( self.y_array), len(self.spec_x_array)))
def __init__(self, file_path): File.__init__(self, file_path) Sequence.__init__(self) self._instance = None
def __init__(self, traces): Sequence.__init__(self) # traces is a tuple of trace tuples: see Trace constructor self._traces = traces
def __init__(self, frames): Sequence.__init__(self) # frames is a tuple of frame tuples: see Frame constructor for the # format of a frame tuple self._frames = frames
def __init__(self, elements: t.Sequence[t.Any], root: "NodeTree", tree: tuple): Sequence.__init__(self) Node.__init__(self, root, tree) self._elements: t.Sequence[t.Any] = elements
def __init__(self, traces): Sequence.__init__(self) self._traces = traces
def __init__(self, frames): Sequence.__init__(self) self._frames = tuple(reversed(frames))
def __init__(self, path): Sequence.__init__(self) self._path = unicodedata.normalize('NFC', str(path)) self._instance = None