Global Constants¶
Here you can find global constants. These constants define the data supported by the storage service and the standard parameter, maximum length of comments, messages for storing and loading etc.
This module contains constants defined for a global scale and used across most pypet modules.
It contains constants defining the maximum length of a parameter/result name or constants that are recognized by storage services to determine how to store and load data.
- pypet.pypetconstants.PARAMETERTYPEDICT = {<class '__name__'>: <Mock object at 0x7fd46681bdd0>, <class '__name__'>: <Mock object at 0x7fd46681bd90>, <class '__name__'>: <Mock object at 0x7fd46681bf90>, <class '__name__'>: <Mock object at 0x7fd46681b310>, 'unicode': <type 'unicode'>, <class '__name__'>: <Mock object at 0x7fd46681b1d0>, <class '__name__'>: <Mock object at 0x7fd46681bc50>, 'int': <type 'int'>, <class '__name__'>: <Mock object at 0x7fd4667b4250>, <class '__name__'>: <Mock object at 0x7fd46681b250>, 'float': <type 'float'>, 'long': <type 'long'>, <class '__name__'>: <Mock object at 0x7fd46681bed0>, <class '__name__'>: <Mock object at 0x7fd46681b210>, 'complex': <type 'complex'>, 'bool': <type 'bool'>, <class '__name__'>: <Mock object at 0x7fd46681bd50>, <class '__name__'>: <Mock object at 0x7fd46681b190>, <class '__name__'>: <Mock object at 0x7fd46681b2d0>, 'str': <type 'str'>, <class '__name__'>: <Mock object at 0x7fd46681b290>}¶
A Mapping (dict) from the the string representation of a type and the type.
These are the so far supported types of the storage service and the standard parameter!
- pypet.pypetconstants.PARAMETER_SUPPORTED_DATA = (<Mock object at 0x7fd46681bfd0>, <Mock object at 0x7fd46681ba50>, <Mock object at 0x7fd46681b990>, <Mock object at 0x7fd46681b910>, <Mock object at 0x7fd46681b890>, <Mock object at 0x7fd46681be10>, <Mock object at 0x7fd46681be50>, <Mock object at 0x7fd46681bb90>, <Mock object at 0x7fd46681ba90>, <Mock object at 0x7fd46681bad0>, <Mock object at 0x7fd46681b9d0>, <Mock object at 0x7fd46681bb10>, <Mock object at 0x7fd46681bb50>, <Mock object at 0x7fd46681bbd0>, <Mock object at 0x7fd46681bc10>, <Mock object at 0x7fd46681b950>, <Mock object at 0x7fd46681b8d0>, <Mock object at 0x7fd46681b690>, <Mock object at 0x7fd46681b7d0>, <Mock object at 0x7fd46681b610>, <Mock object at 0x7fd46681b6d0>, <type 'unicode'>, <type 'str'>)¶
Set of supported scalar types by the storage service and the standard parameter
- pypet.pypetconstants.HDF5_STRCOL_MAX_NAME_LENGTH = 128¶
Maximum length of a (short) name
- pypet.pypetconstants.HDF5_STRCOL_MAX_LOCATION_LENGTH = 256¶
Maximum length of the location string
- pypet.pypetconstants.HDF5_STRCOL_MAX_VALUE_LENGTH = 64¶
Maximum length of a value string
- pypet.pypetconstants.HDF5_STRCOL_MAX_COMMENT_LENGTH = 512¶
Maximum length of a comment
- pypet.pypetconstants.HDF5_STRCOL_MAX_ARRAY_LENGTH = 1024¶
Maximum length of a parameter array summary
- pypet.pypetconstants.HDF5_STRCOL_MAX_RUNTIME_LENGTH = 18¶
Maximum length of human readable runtime, 18 characters allows to display up to 999 days excluding the microseconds
- pypet.pypetconstants.HDF5_MAX_OBJECT_TABLE_TYPE_ATTRS = 32¶
Maximum number of attributes before a distinct table is created
- pypet.pypetconstants.WRAP_MODE_QUEUE = 'QUEUE'¶
For multiprocessing, queue multiprocessing mode
- pypet.pypetconstants.WRAP_MODE_LOCK = 'LOCK'¶
Lock multiprocessing mode
- pypet.pypetconstants.WRAP_MODE_NONE = 'NONE'¶
No multiprocessing wrapping for the storage service
- pypet.pypetconstants.LOAD_SKELETON = 1¶
For trajectory loading, loads only the skeleton.
- pypet.pypetconstants.LOAD_DATA = 2¶
Loads skeleton and data.
- pypet.pypetconstants.LOAD_NOTHING = 0¶
Loads nothing
- pypet.pypetconstants.UPDATE_SKELETON = 1¶
DEPRECATED: Updates skeleton, i.e. adds only items that are not part of your current trajectory.
- pypet.pypetconstants.UPDATE_DATA = 2¶
DEPRECATED: Updates skeleton and data, adds only items that are not part of your current trajectory.
- pypet.pypetconstants.STORE_NOTHING = 0¶
Stores nothing to disk
- pypet.pypetconstants.STORE_DATA_SKIPPING = 1¶
Stores only data of instances that have not been stored before
- pypet.pypetconstants.STORE_DATA = 2¶
Stored all data to disk adds to existing data
- pypet.pypetconstants.OVERWRITE_DATA = 3¶
Overwrites data on disk
- pypet.pypetconstants.LEAF = 'LEAF'¶
For trajectory or item storage, stores a leaf node, i.e. parameter or result object
- pypet.pypetconstants.TRAJECTORY = 'TRAJECTORY'¶
Stores the whole trajectory
- pypet.pypetconstants.MERGE = 'MERGE'¶
Merges two trajectories
- pypet.pypetconstants.GROUP = 'GROUP'¶
Stores a group node, can be recursive.
- pypet.pypetconstants.LIST = 'LIST'¶
Stores a list of different things, in order to avoid reopening and closing of the hdf5 file.
- pypet.pypetconstants.SINGLE_RUN = 'SINGLE_RUN'¶
Stores a single run
- pypet.pypetconstants.PREPARE_MERGE = 'PREPARE_MERGE'¶
Updates a trajectory before it is going to be merged
- pypet.pypetconstants.BACKUP = 'BACKUP'¶
Backs up a trajectory
- pypet.pypetconstants.DELETE = 'DELETE'¶
Removes an item from hdf5 file
- pypet.pypetconstants.DELETE_LINK = 'DELETE_LINK'¶
Removes a soft link from hdf5 file
- pypet.pypetconstants.TREE = 'TREE'¶
Stores a subtree of the trajectory
- pypet.pypetconstants.ACCESS_DATA = 'ACCESS_DATA'¶
Access and manipulate data directly in the hdf5 file
- pypet.pypetconstants.CLOSE_FILE = 'CLOSE_FILE'¶
Close a still opened HDF5 file
- pypet.pypetconstants.OPEN_FILE = 'OPEN_FILE'¶
Opens an HDF5 file and keeps it open until CLOSE_FILE is passed.
- pypet.pypetconstants.FLUSH = 'FLUSH'¶
Tells the storage to flush the file
- pypet.pypetconstants.FORMAT_ZEROS = 8¶
Number of leading zeros
- pypet.pypetconstants.RUN_NAME = 'run_'¶
Name of a single run
- pypet.pypetconstants.RUN_NAME_DUMMY = 'run_ALL'¶
Dummy name if not created during run
- pypet.pypetconstants.FORMATTED_RUN_NAME = 'run_%08d'¶
Name formatted with leading zeros
- pypet.pypetconstants.EARRAY = 'EARRAY'¶
Stored as earray_e.
- pypet.pypetconstants.DICT = 'DICT'¶
Stored as dict.
In fact, stored as pytable, but the dictionary wil be reconstructed.
- pypet.pypetconstants.SERIES = 'SERIES'¶
Store data as pandas Series
- pypet.pypetconstants.PANEL = 'PANEL'¶
Store data as pandas Panel(4D)
- pypet.pypetconstants.SPLIT_TABLE = 'SPLIT_TABLE'¶
If a table was split due to too many columns
- pypet.pypetconstants.DATATYPE_TABLE = 'DATATYPE_TABLE'¶
If a table contains the data types instead of the attrs
- pypet.pypetconstants.SHARED_DATA = 'SHARED_DATA_'¶
An HDF5 data object for direct interaction