# Precomputed data components

In order to make the API work, Text-Fabric prepares some data and saves it in quick-load format. Most of this data are the features, but there is some extra data needed for the special functions of the WARP features and the Locality API.

Normally, you do not use this data, but since it is there, it might be valuable, so we have made it accessible in the Computeds-api.

Pre-computed data storage

Pre-computed data is stored in cache directories in a directory .tf inside the directory where the otype feature is encountered.

After precomputation the result is pickled and gzipped and written to a .tfx file with the same name as the name of the feature. This is done for nromal features and pre-computed features likewise.

After version 7.7.7 version the memory footprint of some precomputed features has been reduced. Because the precomputed features on disk are exact replicas of the precomputed features in RAM, older precomputed data does not work with versions of TF after 7.7.7.

But from that version onwards, there is a parameter, PACK_VERSION to detect incompatibilities.

Expand source code Browse git
"""
# Precomputed data components

In order to make the API work, Text-Fabric prepares some data and saves it in
quick-load format. Most of this data are the features, but there is some extra
data needed for the special functions of the tf.parameters.WARP features and the
tf.core.locality.Locality API.

Normally, you do not use this data, but since it is there, it might be valuable,
so we have made it accessible in the tf.core.computed.Computeds-api.

!!! explanation "Pre-computed data storage"
Pre-computed data is stored in cache directories in a directory .tf
inside the directory where the otype feature is encountered.

After precomputation the result is pickled and gzipped and written to a
.tfx file with the same name as the name of the feature.
This is done for nromal features and pre-computed features likewise.

After version 7.7.7 version the memory footprint of some precomputed features
has been reduced. Because the precomputed features on disk are exact replicas
of the precomputed features in RAM, older precomputed data does not work with
versions of TF after 7.7.7.

But from that version onwards, there is a parameter,
tf.parameters.PACK_VERSION to detect incompatibilities.
"""

class Computeds(object):
pass

class Computed(object):

For component ccc it is the result of C.ccc or Cs('ccc').
"""

def __init__(self, api, data):
self.api = api
self.data = data

## Classes

 class Computed (api, data) 

For component ccc it is the result of C.ccc or Cs('ccc').

Expand source code Browse git
class Computed(object):
For component ccc it is the result of C.ccc or Cs('ccc').
self.data = data
 class Computeds 
class Computeds(object):
pass