obspy.clients.nrl.client.LocalNRL

class LocalNRL(root=None)

Bases: NRL

Subclass of NRL for accessing local copy NRL.

Public Methods

get_datalogger_response	Get the datalogger response.
get_response	Get Response from NRL tree structure
get_sensor_response	Get the sensor response.

Private Methods

Warning

Private methods are mainly for internal/developer use and their API might change without notice.

LocalNRL._choose(choice, path)

LocalNRL._clean_str(string)

LocalNRL._get_cp_from_ini(path)

Returns a configparser from a path to an index.txt

LocalNRL._parse_ini(path)

LocalNRL._read_resp(path)

LocalNRL._repr_pretty_(p, cycle)

Special Methods

LocalNRL.__delattr__(name, /)

Implement delattr(self, name).

LocalNRL.__dir__()

Default dir() implementation.

LocalNRL.__eq__(value, /)

Return self==value.

LocalNRL.__format__(format_spec, /)

Default object formatter.

LocalNRL.__ge__(value, /)

Return self>=value.

LocalNRL.__getattribute__(name, /)

Return getattr(self, name).

LocalNRL.__gt__(value, /)

Return self>value.

LocalNRL.__hash__()

Return hash(self).

LocalNRL.__init__(root)

LocalNRL.__init_subclass__()

This method is called when a class is subclassed.

The default implementation does nothing. It may be overridden to extend subclasses.

LocalNRL.__le__(value, /)

Return self<=value.

LocalNRL.__lt__(value, /)

Return self<value.

LocalNRL.__ne__(value, /)

Return self!=value.

static LocalNRL.__new__(cls, root=None)

LocalNRL.__reduce__()

Helper for pickle.

LocalNRL.__reduce_ex__(protocol, /)

Helper for pickle.

LocalNRL.__repr__()

Return repr(self).

LocalNRL.__setattr__(name, value, /)

Implement setattr(self, name, value).

LocalNRL.__sizeof__()

Size of object in memory, in bytes.

LocalNRL.__str__()

LocalNRL.__subclasshook__()

Abstract classes can override this to customize issubclass().

This is invoked early on by abc.ABCMeta.__subclasscheck__(). It should return True, False or NotImplemented. If it returns NotImplemented, the normal algorithm is used. Otherwise, it overrides the normal algorithm (and the outcome is cached).