forked from pool/python-jsonpickle
Accepting request 872816 from devel:languages:python
- Update to version 2.0.0
* Major release: the serialized JSON format now preserves
dictionary identity, which is a subtle change in the
serialized format. (#351)
* Dictionary identity is now preserved. For example, if the same
dictionary appears twice in a list, the reconstituted list
will now contain two references to the same dictionary. (#255)
(+332)
- Changes in v1.5.2
* Patch release to avoid the change in behavior from the
preservation of dict identity. The next release will be
v2.0.0. (#351)
* This relese does not include the performance improvements from
v1.5.1.
* Pandas DataFrame objects with multilevel columns are now
supported. (#346) (+347)
* Numpy 1.20 is now officially supported. (#336)
* Python 3.9 is now officially supported. (+348)
* Achieved a small speedup for _get_flattener by merging type
checks. (+349)
- Changes in v1.5.1
* The performance of the unpickler was drastically improved by
avoiding tag checks for basic Python types. (+340)
* decode() documentation improvements. (+341)
* Serialization of Pandas DataFrame objects that contain
timedelta64[ns] dtypes are now supported. (+330) (#331)
* Dictionary identity is now preserved. For example, if the same
dictionary appears twice in a list, the reconstituted list
will now contain two references to the same dictionary. (#255)
(+332)
* Unit tests were added to ensure that sklearn.tree.
DecisionTreeClassifier objects are properly serialized. (#155)
(+344)
* The is_reducible() utility function used by encode() is now 4x
faster! Objects that provide __getstate__(), __setstate__(),
and __slots__ benefit most from these improvements. (+343)
* Improved pickler flatten()/encode() performance. (+345)
- Changes in v1.5.0
* Previous versions of jsonpickle with make_refs=False would
emit null when encountering an object it had already seen when
traversing objects. All instances of the object are now
serialized. While this is arguably an improvement in the vast
majority of scenarios, it is a change in behavior and is thus
considered a minor-level change. (#333) (#334) (#337) (+338)
* Multiple enums are now serialized correctly with
make_refs=False. (#235)
- Changes in v1.4.2
* Use importlib.metadata from the stdlib on Python 3.8. (+305)
(#303)
* Micro-optimize type checks to use a set for lookups. (+327)
* Documentation improvements.
- Changes in v1.4.1
* Patch release for Python 3.8 importlib_metadata support. (#300)
- Changes in v1.4
* Python 3.8 support. (#292)
* jsonpickle.encode now supports the standard indent and
separators arguments, and passes them through to the active
JSON backend library. (#183)
* We now include a custom handler for array.array objects. (#199)
* Dict key order is preserved when pickling dictionaries on
Python3. (#193)
* Improved serialization of dictionaries with non-string keys.
Previously, using an enum that was both the key and a value in
a dictionary could end up with incorrect references to other
objects. The references are now properly maintained for dicts
with object keys that are also referenced in the dict's
values. (#286)
* Improved serialization of pandas.Series objects. (#287)
- Don't test numpy and pandas in python36 flavor, because
they are no longer available on Tumbleweed (NEP 29)
- Test some extras, but not in lettered staging if they are not
in Ring1.
- Drop PR292-Python38.patch merged upstream
OBS-URL: https://build.opensuse.org/request/show/872816
OBS-URL: https://build.opensuse.org/package/show/openSUSE:Factory/python-jsonpickle?expand=0&rev=8
This commit is contained in:
Git OBS Bridge
@@ -1,41 +0,0 @@
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--- a/jsonpickle/handlers.py
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+++ b/jsonpickle/handlers.py
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@@ -10,7 +10,9 @@ A handler can be bound to other types by
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from __future__ import absolute_import, division, unicode_literals
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import copy
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import datetime
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+import io
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import re
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+import sys
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import threading
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import uuid
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@@ -254,3 +256,18 @@ class LockHandler(BaseHandler):
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_lock = threading.Lock()
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LockHandler.handles(_lock.__class__)
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+
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+
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+class TextIOHandler(BaseHandler):
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+ """Serialize file descriptors as None because we cannot roundtrip"""
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+
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+ def flatten(self, obj, data):
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+ return None
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+
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+ def restore(self, data):
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+ """Restore should never get called because flatten() returns None"""
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+ raise AssertionError('Restoring IO.TextIOHandler is not supported')
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+
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+
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+if sys.version_info >= (3, 8):
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+ TextIOHandler.handles(io.TextIOWrapper)
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--- a/requirements-dev.txt
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+++ b/requirements-dev.txt
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@@ -12,5 +12,5 @@ pytest
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pytest-cov
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simplejson
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sqlalchemy
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-ujson
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-yajl; sys_platform != 'win32'
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+ujson; python_version < '3.8'
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+yajl; sys_platform != 'win32' and python_version < '3.8'
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@@ -1,3 +0,0 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:71bca2b80ae28af4e3f86629ef247100af7f97032b5ca8d791c1f8725b411d95
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size 76571
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3
jsonpickle-2.0.0.tar.gz
Normal file
3
jsonpickle-2.0.0.tar.gz
Normal file
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:0be49cba80ea6f87a168aa8168d717d00c6ca07ba83df3cec32d3b30bfe6fb9a
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size 110336
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@@ -1,3 +1,80 @@
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-------------------------------------------------------------------
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Mon Feb 15 21:52:25 UTC 2021 - Ben Greiner <code@bnavigator.de>
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- Update to version 2.0.0
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* Major release: the serialized JSON format now preserves
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dictionary identity, which is a subtle change in the
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serialized format. (#351)
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* Dictionary identity is now preserved. For example, if the same
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dictionary appears twice in a list, the reconstituted list
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will now contain two references to the same dictionary. (#255)
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(+332)
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- Changes in v1.5.2
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* Patch release to avoid the change in behavior from the
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preservation of dict identity. The next release will be
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v2.0.0. (#351)
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* This relese does not include the performance improvements from
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v1.5.1.
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* Pandas DataFrame objects with multilevel columns are now
|
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supported. (#346) (+347)
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* Numpy 1.20 is now officially supported. (#336)
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* Python 3.9 is now officially supported. (+348)
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* Achieved a small speedup for _get_flattener by merging type
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checks. (+349)
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- Changes in v1.5.1
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* The performance of the unpickler was drastically improved by
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avoiding tag checks for basic Python types. (+340)
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* decode() documentation improvements. (+341)
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* Serialization of Pandas DataFrame objects that contain
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timedelta64[ns] dtypes are now supported. (+330) (#331)
|
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* Dictionary identity is now preserved. For example, if the same
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dictionary appears twice in a list, the reconstituted list
|
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will now contain two references to the same dictionary. (#255)
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(+332)
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* Unit tests were added to ensure that sklearn.tree.
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DecisionTreeClassifier objects are properly serialized. (#155)
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(+344)
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* The is_reducible() utility function used by encode() is now 4x
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faster! Objects that provide __getstate__(), __setstate__(),
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and __slots__ benefit most from these improvements. (+343)
|
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* Improved pickler flatten()/encode() performance. (+345)
|
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- Changes in v1.5.0
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* Previous versions of jsonpickle with make_refs=False would
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emit null when encountering an object it had already seen when
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traversing objects. All instances of the object are now
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serialized. While this is arguably an improvement in the vast
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majority of scenarios, it is a change in behavior and is thus
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considered a minor-level change. (#333) (#334) (#337) (+338)
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* Multiple enums are now serialized correctly with
|
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make_refs=False. (#235)
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- Changes in v1.4.2
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* Use importlib.metadata from the stdlib on Python 3.8. (+305)
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(#303)
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* Micro-optimize type checks to use a set for lookups. (+327)
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* Documentation improvements.
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- Changes in v1.4.1
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* Patch release for Python 3.8 importlib_metadata support. (#300)
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- Changes in v1.4
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* Python 3.8 support. (#292)
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* jsonpickle.encode now supports the standard indent and
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separators arguments, and passes them through to the active
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JSON backend library. (#183)
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* We now include a custom handler for array.array objects. (#199)
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* Dict key order is preserved when pickling dictionaries on
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Python3. (#193)
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* Improved serialization of dictionaries with non-string keys.
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Previously, using an enum that was both the key and a value in
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a dictionary could end up with incorrect references to other
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objects. The references are now properly maintained for dicts
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with object keys that are also referenced in the dict's
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values. (#286)
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* Improved serialization of pandas.Series objects. (#287)
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- Don't test numpy and pandas in python36 flavor, because
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they are no longer available on Tumbleweed (NEP 29)
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- Test some extras, but not in lettered staging if they are not
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in Ring1.
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- Drop PR292-Python38.patch merged upstream
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-------------------------------------------------------------------
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Sat Mar 14 08:25:54 UTC 2020 - Tomáš Chvátal <tchvatal@suse.com>
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@@ -1,7 +1,7 @@
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#
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# spec file for package python-jsonpickle
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#
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# Copyright (c) 2020 SUSE LLC
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# Copyright (c) 2021 SUSE LLC
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#
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# All modifications and additions to the file contributed by third parties
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# remain the property of their copyright owners, unless otherwise agreed
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@@ -19,37 +19,53 @@
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%{?!python_module:%define python_module() python-%{**} python3-%{**}}
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%define modname jsonpickle
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%bcond_without python2
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%bcond_with ringdisabled
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Name: python-jsonpickle
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Version: 1.3
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Version: 2.0.0
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Release: 0
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Summary: Python library for serializing any arbitrary object graph into JSON
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License: BSD-3-Clause
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URL: https://github.com/jsonpickle/jsonpickle
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Source: https://files.pythonhosted.org/packages/source/j/jsonpickle/jsonpickle-%{version}.tar.gz
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# PATCH-FIX-UPSTREAM PR292-Python38.patch gh#jsonpickle/jsonpickle#281 mcepl@suse.com
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# Fix Python 3.8 incompatibilities
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Patch01: PR292-Python38.patch
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BuildRequires: %{python_module importlib_metadata if %python-base < 3.8}
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BuildRequires: %{python_module setuptools_scm >= 3.4.1}
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BuildRequires: %{python_module setuptools}
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BuildRequires: %{python_module toml}
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BuildRequires: fdupes
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BuildRequires: python-rpm-macros
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%if 0%{python_version_nodots} < 38
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Requires: python-importlib_metadata
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%endif
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Recommends: python-simplejson
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Suggests: python-demjson
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Suggests: python-ujson
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Suggests: python-yajl
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Suggests: python-numpy
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Suggests: python-pandas
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BuildArch: noarch
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# SECTION test requirements
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BuildRequires: %{python_module SQLAlchemy}
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BuildRequires: %{python_module coverage}
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BuildRequires: %{python_module numpy}
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BuildRequires: %{python_module ecdsa}
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BuildRequires: %{python_module pymongo}
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BuildRequires: %{python_module pytest}
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BuildRequires: %{pythons}
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# /SECTION
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BuildRequires: %{python_module pytz}
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BuildRequires: %{python_module simplejson}
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BuildRequires: %{python_module numpy if (%python-base without python36-base)}
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%if ! 0%{?_with_ringdisabled}
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# Test these in a normal devel project or locally, but not when staging with Ring1
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BuildRequires: %{python_module demjson}
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BuildRequires: %{python_module feedparser}
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BuildRequires: %{python_module ujson}
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BuildRequires: %{python_module pandas if (%python-base without python36-base)}
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BuildRequires: %{python_module scikit-learn if (%python-base without python36-base)}
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%endif
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%if %{with python2}
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BuildRequires: python-enum34
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BuildRequires: python-jsonlib
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%endif
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# /SECTION
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%ifpython2
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Suggests: python-feedparser
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Suggests: python-enum34
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Suggests: python-jsonlib
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%endif
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%python_subpackages
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@@ -61,6 +77,7 @@ Additionally, it can reconstitute the object back into Python.
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%prep
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%autosetup -p1 -n %{modname}-%{version}
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sed -i 's/--flake8 --black --cov//' pytest.ini
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%build
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%python_build
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@@ -70,11 +87,14 @@ Additionally, it can reconstitute the object back into Python.
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%python_expand %fdupes %{buildroot}%{$python_sitelib}
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%check
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%pytest
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python36_ignorefiles="--ignore jsonpickle/ext/numpy.py \
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--ignore jsonpickle/ext/pandas.py"
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%pytest -ra ${$python_ignorefiles} %{?_with_ringdisabled:--ignore jsonpickle/ext/pandas.py}
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%files %{python_files}
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%doc README.rst docs/source/changelog.rst
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%license COPYING
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%{python_sitelib}/*
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%license LICENSE
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%doc README.rst CHANGES.rst
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%{python_sitelib}/jsonpickle
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%{python_sitelib}/jsonpickle-%{version}*-info
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%changelog
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