diff --git a/nifty/domain_object.py b/nifty/domain_object.py
index 3142fa641f5e14e4fb87b0c90ff49769dde4c822..0dabcb32e1e41344939bdd21eaf9790d2082f099 100644
--- a/nifty/domain_object.py
+++ b/nifty/domain_object.py
@@ -20,13 +20,12 @@ from __future__ import division
import abc
from .nifty_meta import NiftyMeta
-from keepers import Loggable,\
- Versionable
+from keepers import Loggable
from future.utils import with_metaclass
class DomainObject(with_metaclass(
- NiftyMeta, type('NewBase', (Versionable, Loggable, object), {}))):
+ NiftyMeta, type('NewBase', (Loggable, object), {}))):
"""The abstract class that can be used as a domain for a field.
This holds all the information and functionality a field needs to know
@@ -224,13 +223,3 @@ class DomainObject(with_metaclass(
"""
return x
-
- # ---Serialization---
-
- def _to_hdf5(self, hdf5_group):
- return None
-
- @classmethod
- def _from_hdf5(cls, hdf5_group, repository):
- result = cls()
- return result
diff --git a/nifty/field.py b/nifty/field.py
index c8e12f83c0ec39348579118b9f41f6756267b627..a589340fbea74ae2fb322e1d387e6cd2df56891f 100644
--- a/nifty/field.py
+++ b/nifty/field.py
@@ -23,8 +23,7 @@ from builtins import range
import ast
import numpy as np
-from keepers import Versionable,\
- Loggable
+from keepers import Loggable
from .domain_object import DomainObject
@@ -35,7 +34,7 @@ from .random import Random
from functools import reduce
-class Field(Loggable, Versionable, object):
+class Field(Loggable, object):
""" The discrete representation of a continuous field over multiple spaces.
In NIFTY, Fields are used to store data arrays and carry all the needed
@@ -1444,47 +1443,6 @@ class Field(Loggable, Versionable, object):
"\n - min.,max. = " + str(minmax) + \
"\n - mean = " + str(mean)
- # ---Serialization---
-
- def _to_hdf5(self, hdf5_group):
- hdf5_group.attrs['dtype'] = self.dtype.name
- hdf5_group.attrs['domain_axes'] = str(self.domain_axes)
- hdf5_group['num_domain'] = len(self.domain)
-
- if self._val is None:
- ret_dict = {}
- else:
- ret_dict = {'val': self.val}
-
- for i in range(len(self.domain)):
- ret_dict['s_' + str(i)] = self.domain[i]
-
- return ret_dict
-
- @classmethod
- def _from_hdf5(cls, hdf5_group, repository):
- # create empty field
- new_field = EmptyField()
- # reset class
- new_field.__class__ = cls
- # set values
- temp_domain = []
- for i in range(hdf5_group['num_domain'][()]):
- temp_domain.append(repository.get('s_' + str(i), hdf5_group))
- new_field.domain = tuple(temp_domain)
-
- new_field.domain_axes = ast.literal_eval(
- hdf5_group.attrs['domain_axes'])
-
- try:
- new_field._val = repository.get('val', hdf5_group)
- except(KeyError):
- new_field._val = None
-
- new_field.dtype = np.dtype(hdf5_group.attrs['dtype'])
-
- return new_field
-
class EmptyField(Field):
def __init__(self):
diff --git a/nifty/field_types/field_array.py b/nifty/field_types/field_array.py
index 8c660b1b6e984410ccca5f81be8cb47870e4bade..6e7d6047d166b9aee92df287ba85e1c60e9281f7 100644
--- a/nifty/field_types/field_array.py
+++ b/nifty/field_types/field_array.py
@@ -39,14 +39,3 @@ class FieldArray(FieldType):
@property
def dim(self):
return reduce(lambda x, y: x*y, self.shape)
-
- # ---Serialization---
-
- def _to_hdf5(self, hdf5_group):
- hdf5_group['shape'] = self.shape
- return None
-
- @classmethod
- def _from_hdf5(cls, hdf5_group, loopback_get):
- result = cls(shape=hdf5_group['shape'][:])
- return result
diff --git a/nifty/operators/linear_operator/linear_operator.py b/nifty/operators/linear_operator/linear_operator.py
index d1833976feae48b10133ea0193d4e04af17fb5d7..345e24984a829a75e7f096db5ae0a9894f2fe9a4 100644
--- a/nifty/operators/linear_operator/linear_operator.py
+++ b/nifty/operators/linear_operator/linear_operator.py
@@ -20,15 +20,14 @@ from builtins import str
import abc
from ...nifty_meta import NiftyMeta
-from keepers import Loggable,\
- Versionable
+from keepers import Loggable
from ...field import Field
from ... import nifty_utilities as utilities
from future.utils import with_metaclass
class LinearOperator(with_metaclass(
- NiftyMeta, type('NewBase', (Versionable, Loggable, object), {}))):
+ NiftyMeta, type('NewBase', (Loggable, object), {}))):
"""NIFTY base class for linear operators.
The base NIFTY operator class is an abstract class from which
diff --git a/nifty/spaces/gl_space/gl_space.py b/nifty/spaces/gl_space/gl_space.py
index 220e10a744037a77235fc02e0dc00e803e3a5d05..3c1d2a45b05b8693236108309c415720a5a17032 100644
--- a/nifty/spaces/gl_space/gl_space.py
+++ b/nifty/spaces/gl_space/gl_space.py
@@ -180,20 +180,3 @@ class GLSpace(Space):
if nlon < 1:
raise ValueError("nlon must be a positive number.")
return nlon
-
- # ---Serialization---
-
- def _to_hdf5(self, hdf5_group):
- hdf5_group['nlat'] = self.nlat
- hdf5_group['nlon'] = self.nlon
-
- return None
-
- @classmethod
- def _from_hdf5(cls, hdf5_group, repository):
- result = cls(
- nlat=hdf5_group['nlat'][()],
- nlon=hdf5_group['nlon'][()],
- )
-
- return result
diff --git a/nifty/spaces/hp_space/hp_space.py b/nifty/spaces/hp_space/hp_space.py
index 8a8ccdbb88c1a2667d9d73deb61d530c4f0faaf4..c328f40d261a8469a48476d2fa7a0681372a8da7 100644
--- a/nifty/spaces/hp_space/hp_space.py
+++ b/nifty/spaces/hp_space/hp_space.py
@@ -139,16 +139,3 @@ class HPSpace(Space):
if nside < 1:
raise ValueError("nside must be >=1.")
return nside
-
- # ---Serialization---
-
- def _to_hdf5(self, hdf5_group):
- hdf5_group['nside'] = self.nside
- return None
-
- @classmethod
- def _from_hdf5(cls, hdf5_group, repository):
- result = cls(
- nside=hdf5_group['nside'][()],
- )
- return result
diff --git a/nifty/spaces/lm_space/lm_space.py b/nifty/spaces/lm_space/lm_space.py
index 6c8010fdebb629f6b7aac25bc72200d8d19cf207..fe9257b34446e751100f7ee3413f1dd5dfe6e3e8 100644
--- a/nifty/spaces/lm_space/lm_space.py
+++ b/nifty/spaces/lm_space/lm_space.py
@@ -187,16 +187,3 @@ class LMSpace(Space):
if lmax < 0:
raise ValueError("lmax must be >=0.")
return lmax
-
- # ---Serialization---
-
- def _to_hdf5(self, hdf5_group):
- hdf5_group['lmax'] = self.lmax
- return None
-
- @classmethod
- def _from_hdf5(cls, hdf5_group, repository):
- result = cls(
- lmax=hdf5_group['lmax'][()],
- )
- return result
diff --git a/nifty/spaces/power_space/power_space.py b/nifty/spaces/power_space/power_space.py
index e8e0ea360159aaba4a874dc689ca294fe0508aa1..0c9585a4a76383277ab4f62bb95cd3405f4eddbf 100644
--- a/nifty/spaces/power_space/power_space.py
+++ b/nifty/spaces/power_space/power_space.py
@@ -277,18 +277,3 @@ class PowerSpace(Space):
"""Degeneracy factor of the individual k-vectors.
"""
return self._rho
-
- # ---Serialization---
-
- def _to_hdf5(self, hdf5_group):
- hdf5_group.attrs['binbounds'] = str(self._binbounds)
-
- return {
- 'harmonic_partner': self.harmonic_partner,
- }
-
- @classmethod
- def _from_hdf5(cls, hdf5_group, repository):
- hp = repository.get('harmonic_partner', hdf5_group)
- bb = ast.literal_eval(hdf5_group.attrs['binbounds'])
- return PowerSpace(hp, binbounds=bb)
diff --git a/nifty/spaces/rg_space/rg_space.py b/nifty/spaces/rg_space/rg_space.py
index 870b3c46d166e792ca18c301088592cc41c55a07..adb3a6c200506dbd2992bb63057b5f4cae992153 100644
--- a/nifty/spaces/rg_space/rg_space.py
+++ b/nifty/spaces/rg_space/rg_space.py
@@ -252,21 +252,3 @@ class RGSpace(Space):
temp = np.empty(len(self.shape), dtype=np.float64)
temp[:] = distances
return tuple(temp)
-
- # ---Serialization---
-
- def _to_hdf5(self, hdf5_group):
- hdf5_group['shape'] = self.shape
- hdf5_group['distances'] = self.distances
- hdf5_group['harmonic'] = self.harmonic
-
- return None
-
- @classmethod
- def _from_hdf5(cls, hdf5_group, repository):
- result = cls(
- shape=hdf5_group['shape'][:],
- distances=hdf5_group['distances'][:],
- harmonic=hdf5_group['harmonic'][()],
- )
- return result