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here is the log from the commit of package python-matplotlib-inline for
openSUSE:Factory checked in at 2022-08-23 14:25:31
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Comparing /work/SRC/openSUSE:Factory/python-matplotlib-inline (Old)
and /work/SRC/openSUSE:Factory/.python-matplotlib-inline.new.2083 (New)
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Package is "python-matplotlib-inline"
Tue Aug 23 14:25:31 2022 rev:3 rq:998364 version:0.1.6
Changes:
--------
---
/work/SRC/openSUSE:Factory/python-matplotlib-inline/python-matplotlib-inline.changes
2021-10-20 20:24:31.085386734 +0200
+++
/work/SRC/openSUSE:Factory/.python-matplotlib-inline.new.2083/python-matplotlib-inline.changes
2022-08-23 14:25:32.343079846 +0200
@@ -1,0 +2,18 @@
+Sat Aug 20 14:59:06 UTC 2022 - Arun Persaud <a...@gmx.de>
+
+- specfile:
+ * update copyright year
+
+- update to version 0.1.6:
+ * Return manager instead of None
+
+- changes from version 0.1.5:
+ * replace 0.1.4 on pypi, no changes
+
+- changes from version 0.1.4:
+ * Fix: always clear _draw_called
+ * Move draw_if_interactive logic to new_figure_manager_given_figure.
+ * Remove matplotlib rc overrides.
+ * Create __version__ attribute
+
+-------------------------------------------------------------------
Old:
----
matplotlib-inline-0.1.3.tar.gz
New:
----
matplotlib-inline-0.1.6.tar.gz
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Other differences:
------------------
++++++ python-matplotlib-inline.spec ++++++
--- /var/tmp/diff_new_pack.0U9B2K/_old 2022-08-23 14:25:33.615082646 +0200
+++ /var/tmp/diff_new_pack.0U9B2K/_new 2022-08-23 14:25:33.635082690 +0200
@@ -1,7 +1,7 @@
#
# spec file
#
-# Copyright (c) 2021 SUSE LLC
+# Copyright (c) 2022 SUSE LLC
#
# All modifications and additions to the file contributed by third parties
# remain the property of their copyright owners, unless otherwise agreed
@@ -26,9 +26,8 @@
%endif
%{?!python_module:%define python_module() python3-%{**}}
%define skip_python2 1
-%define skip_python36 1
Name: python-matplotlib-inline%{psuffix}
-Version: 0.1.3
+Version: 0.1.6
Release: 0
Summary: Inline Matplotlib backend for Jupyter
License: BSD-3-Clause
@@ -36,14 +35,14 @@
Source:
https://files.pythonhosted.org/packages/source/m/matplotlib-inline/matplotlib-inline-%{version}.tar.gz
BuildRequires: %{python_module setuptools}
BuildRequires: %{python_module traitlets}
+BuildRequires: fdupes
BuildRequires: python-rpm-macros
+Requires: python-traitlets
+BuildArch: noarch
%if %{with test}
BuildRequires: %{python_module ipython}
BuildRequires: %{python_module matplotlib}
%endif
-BuildRequires: fdupes
-Requires: python-traitlets
-BuildArch: noarch
%python_subpackages
%description
++++++ matplotlib-inline-0.1.3.tar.gz -> matplotlib-inline-0.1.6.tar.gz ++++++
diff -urN '--exclude=CVS' '--exclude=.cvsignore' '--exclude=.svn'
'--exclude=.svnignore' old/matplotlib-inline-0.1.3/LICENSE
new/matplotlib-inline-0.1.6/LICENSE
--- old/matplotlib-inline-0.1.3/LICENSE 2021-04-20 17:39:21.000000000 +0200
+++ new/matplotlib-inline-0.1.6/LICENSE 2022-08-16 22:04:52.000000000 +0200
@@ -1,6 +1,6 @@
BSD 3-Clause License
-Copyright (c) 2019,
+Copyright (c) 2019-2022, IPython Development Team.
All rights reserved.
Redistribution and use in source and binary forms, with or without
diff -urN '--exclude=CVS' '--exclude=.cvsignore' '--exclude=.svn'
'--exclude=.svnignore' old/matplotlib-inline-0.1.3/PKG-INFO
new/matplotlib-inline-0.1.6/PKG-INFO
--- old/matplotlib-inline-0.1.3/PKG-INFO 2021-09-07 17:02:39.190669800
+0200
+++ new/matplotlib-inline-0.1.6/PKG-INFO 2022-08-18 05:47:05.679983000
+0200
@@ -1,15 +1,81 @@
Metadata-Version: 2.1
Name: matplotlib-inline
-Version: 0.1.3
+Version: 0.1.6
Summary: Inline Matplotlib backend for Jupyter
Home-page: https://github.com/ipython/matplotlib-inline
Author: IPython Development Team
Author-email: ipython-...@scipy.org
License: BSD 3-Clause
Keywords: python,ipython,matplotlib,jupyter
-Platform: UNKNOWN
Requires-Python: >=3.5
+Description-Content-Type: text/markdown
License-File: LICENSE
-UNKNOWN
+# Matplotlib Inline Back-end for IPython and Jupyter
+This package provides support for matplotlib to display figures directly
inline in the Jupyter notebook and related clients, as shown below.
+
+## Installation
+
+With conda:
+
+```bash
+conda install -c conda-forge matplotlib-inline
+```
+
+With pip:
+
+```bash
+pip install matplotlib-inline
+```
+
+## Usage
+
+Note that in current versions of JupyterLab and Jupyter Notebook, the explicit
use of the `%matplotlib inline` directive is not needed anymore, though other
third-party clients may still require it.
+
+This will produce a figure immediately below:
+
+```python
+%matplotlib inline
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+x = np.linspace(0, 3*np.pi, 500)
+plt.plot(x, np.sin(x**2))
+plt.title('A simple chirp');
+```
+
+## License
+
+Licensed under the terms of the BSD 3-Clause License, by the IPython
Development Team (see `LICENSE` file).
+
+BSD 3-Clause License
+
+Copyright (c) 2019-2022, IPython Development Team.
+All rights reserved.
+
+Redistribution and use in source and binary forms, with or without
+modification, are permitted provided that the following conditions are met:
+
+1. Redistributions of source code must retain the above copyright notice, this
+ list of conditions and the following disclaimer.
+
+2. Redistributions in binary form must reproduce the above copyright notice,
+ this list of conditions and the following disclaimer in the documentation
+ and/or other materials provided with the distribution.
+
+3. Neither the name of the copyright holder nor the names of its
+ contributors may be used to endorse or promote products derived from
+ this software without specific prior written permission.
+
+THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
+AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
+IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
+DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
+FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
+DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
+SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
+CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
+OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
+OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
diff -urN '--exclude=CVS' '--exclude=.cvsignore' '--exclude=.svn'
'--exclude=.svnignore' old/matplotlib-inline-0.1.3/README.md
new/matplotlib-inline-0.1.6/README.md
--- old/matplotlib-inline-0.1.3/README.md 2021-04-20 17:39:21.000000000
+0200
+++ new/matplotlib-inline-0.1.6/README.md 2022-08-16 22:04:52.000000000
+0200
@@ -1,22 +1,26 @@
# Matplotlib Inline Back-end for IPython and Jupyter
+This package provides support for matplotlib to display figures directly
inline in the Jupyter notebook and related clients, as shown below.
+
## Installation
With conda:
```bash
-conda install -c conda-forge notebook matplotlib
+conda install -c conda-forge matplotlib-inline
```
With pip:
```bash
-pip install notebook matplotlib
+pip install matplotlib-inline
```
## Usage
-This package is included in IPython and can be used in a Jupyter Notebook:
+Note that in current versions of JupyterLab and Jupyter Notebook, the explicit
use of the `%matplotlib inline` directive is not needed anymore, though other
third-party clients may still require it.
+
+This will produce a figure immediately below:
```python
%matplotlib inline
@@ -28,3 +32,7 @@
plt.plot(x, np.sin(x**2))
plt.title('A simple chirp');
```
+
+## License
+
+Licensed under the terms of the BSD 3-Clause License, by the IPython
Development Team (see `LICENSE` file).
diff -urN '--exclude=CVS' '--exclude=.cvsignore' '--exclude=.svn'
'--exclude=.svnignore'
old/matplotlib-inline-0.1.3/matplotlib_inline/__init__.py
new/matplotlib-inline-0.1.6/matplotlib_inline/__init__.py
--- old/matplotlib-inline-0.1.3/matplotlib_inline/__init__.py 2021-04-20
17:39:21.000000000 +0200
+++ new/matplotlib-inline-0.1.6/matplotlib_inline/__init__.py 2022-08-18
05:43:57.000000000 +0200
@@ -0,0 +1,2 @@
+from . import backend_inline, config # noqa
+__version__ = "0.1.6" # noqa
diff -urN '--exclude=CVS' '--exclude=.cvsignore' '--exclude=.svn'
'--exclude=.svnignore'
old/matplotlib-inline-0.1.3/matplotlib_inline/backend_inline.py
new/matplotlib-inline-0.1.6/matplotlib_inline/backend_inline.py
--- old/matplotlib-inline-0.1.3/matplotlib_inline/backend_inline.py
2021-04-20 17:39:21.000000000 +0200
+++ new/matplotlib-inline-0.1.6/matplotlib_inline/backend_inline.py
2022-08-18 05:09:32.000000000 +0200
@@ -4,13 +4,11 @@
# Distributed under the terms of the BSD 3-Clause License.
import matplotlib
-from matplotlib.backends.backend_agg import ( # noqa
- new_figure_manager,
- FigureCanvasAgg,
- new_figure_manager_given_figure,
-)
from matplotlib import colors
+from matplotlib.backends import backend_agg
+from matplotlib.backends.backend_agg import FigureCanvasAgg
from matplotlib._pylab_helpers import Gcf
+from matplotlib.figure import Figure
from IPython.core.interactiveshell import InteractiveShell
from IPython.core.getipython import get_ipython
@@ -20,6 +18,57 @@
from .config import InlineBackend
+def new_figure_manager(num, *args, FigureClass=Figure, **kwargs):
+ """
+ Return a new figure manager for a new figure instance.
+
+ This function is part of the API expected by Matplotlib backends.
+ """
+ return new_figure_manager_given_figure(num, FigureClass(*args, **kwargs))
+
+
+def new_figure_manager_given_figure(num, figure):
+ """
+ Return a new figure manager for a given figure instance.
+
+ This function is part of the API expected by Matplotlib backends.
+ """
+ manager = backend_agg.new_figure_manager_given_figure(num, figure)
+
+ # Hack: matplotlib FigureManager objects in interacive backends (at least
+ # in some of them) monkeypatch the figure object and add a .show() method
+ # to it. This applies the same monkeypatch in order to support user code
+ # that might expect `.show()` to be part of the official API of figure
+ # objects. For further reference:
+ # https://github.com/ipython/ipython/issues/1612
+ # https://github.com/matplotlib/matplotlib/issues/835
+
+ if not hasattr(figure, 'show'):
+ # Queue up `figure` for display
+ figure.show = lambda *a: display(
+ figure, metadata=_fetch_figure_metadata(figure))
+
+ # If matplotlib was manually set to non-interactive mode, this function
+ # should be a no-op (otherwise we'll generate duplicate plots, since a user
+ # who set ioff() manually expects to make separate draw/show calls).
+ if not matplotlib.is_interactive():
+ return manager
+
+ # ensure current figure will be drawn, and each subsequent call
+ # of draw_if_interactive() moves the active figure to ensure it is
+ # drawn last
+ try:
+ show._to_draw.remove(figure)
+ except ValueError:
+ # ensure it only appears in the draw list once
+ pass
+ # Queue up the figure for drawing in next show() call
+ show._to_draw.append(figure)
+ show._draw_called = True
+
+ return manager
+
+
def show(close=None, block=None):
"""Show all figures as SVG/PNG payloads sent to the IPython clients.
@@ -56,51 +105,6 @@
show._to_draw = []
-def draw_if_interactive():
- """
- Is called after every pylab drawing command
- """
- # signal that the current active figure should be sent at the end of
- # execution. Also sets the _draw_called flag, signaling that there will be
- # something to send. At the end of the code execution, a separate call to
- # flush_figures() will act upon these values
- manager = Gcf.get_active()
- if manager is None:
- return
- fig = manager.canvas.figure
-
- # Hack: matplotlib FigureManager objects in interacive backends (at least
- # in some of them) monkeypatch the figure object and add a .show() method
- # to it. This applies the same monkeypatch in order to support user code
- # that might expect `.show()` to be part of the official API of figure
- # objects.
- # For further reference:
- # https://github.com/ipython/ipython/issues/1612
- # https://github.com/matplotlib/matplotlib/issues/835
-
- if not hasattr(fig, 'show'):
- # Queue up `fig` for display
- fig.show = lambda *a: display(fig,
metadata=_fetch_figure_metadata(fig))
-
- # If matplotlib was manually set to non-interactive mode, this function
- # should be a no-op (otherwise we'll generate duplicate plots, since a user
- # who set ioff() manually expects to make separate draw/show calls).
- if not matplotlib.is_interactive():
- return
-
- # ensure current figure will be drawn, and each subsequent call
- # of draw_if_interactive() moves the active figure to ensure it is
- # drawn last
- try:
- show._to_draw.remove(fig)
- except ValueError:
- # ensure it only appears in the draw list once
- pass
- # Queue up the figure for drawing in next show() call
- show._to_draw.append(fig)
- show._draw_called = True
-
-
def flush_figures():
"""Send all figures that changed
@@ -115,19 +119,20 @@
if not show._draw_called:
return
- if InlineBackend.instance().close_figures:
- # ignore the tracking, just draw and close all figures
- try:
- return show(True)
- except Exception as e:
- # safely show traceback if in IPython, else raise
- ip = get_ipython()
- if ip is None:
- raise e
- else:
- ip.showtraceback()
- return
try:
+ if InlineBackend.instance().close_figures:
+ # ignore the tracking, just draw and close all figures
+ try:
+ return show(True)
+ except Exception as e:
+ # safely show traceback if in IPython, else raise
+ ip = get_ipython()
+ if ip is None:
+ raise e
+ else:
+ ip.showtraceback()
+ return
+
# exclude any figures that were closed:
active = set([fm.canvas.figure for fm in Gcf.get_all_fig_managers()])
for fig in [fig for fig in show._to_draw if fig in active]:
diff -urN '--exclude=CVS' '--exclude=.cvsignore' '--exclude=.svn'
'--exclude=.svnignore' old/matplotlib-inline-0.1.3/matplotlib_inline/config.py
new/matplotlib-inline-0.1.6/matplotlib_inline/config.py
--- old/matplotlib-inline-0.1.3/matplotlib_inline/config.py 2021-04-20
17:39:21.000000000 +0200
+++ new/matplotlib-inline-0.1.6/matplotlib_inline/config.py 2022-08-16
21:54:04.000000000 +0200
@@ -32,26 +32,19 @@
class InlineBackend(InlineBackendConfig):
"""An object to store configuration of the inline backend."""
- # The typical default figure size is too large for inline use,
- # so we shrink the figure size to 6x4, and tweak fonts to
- # make that fit.
+ # While we are deprecating overriding matplotlib defaults out of the
+ # box, this structure should remain here (empty) for API compatibility
+ # and the use of other tools that may need it. Specifically Spyder takes
+ # advantage of it.
+ # See https://github.com/ipython/ipython/issues/10383 for details.
rc = Dict(
- {
- 'figure.figsize': (6.0, 4.0),
- # play nicely with white background in the Qt and notebook frontend
- 'figure.facecolor': (1, 1, 1, 0),
- 'figure.edgecolor': (1, 1, 1, 0),
- # 12pt labels get cutoff on 6x4 logplots, so use 10pt.
- 'font.size': 10,
- # 72 dpi matches SVG/qtconsole
- # this only affects PNG export, as SVG has no dpi setting
- 'figure.dpi': 72,
- # 10pt still needs a little more room on the xlabel:
- 'figure.subplot.bottom': .125
- },
- help="""Subset of matplotlib rcParams that should be different for the
- inline backend."""
- ).tag(config=True)
+ {},
+ help="""Dict to manage matplotlib configuration defaults in the inline
+ backend. As of v0.1.4 IPython/Jupyter do not override defaults out of
+ the box, but third-party tools may use it to manage rc data. To change
+ personal defaults for matplotlib, use matplotlib's configuration
+ tools, or customize this class in your `ipython_config.py` file for
+ IPython/Jupyter-specific usage.""").tag(config=True)
figure_formats = Set(
{'png'},
diff -urN '--exclude=CVS' '--exclude=.cvsignore' '--exclude=.svn'
'--exclude=.svnignore'
old/matplotlib-inline-0.1.3/matplotlib_inline.egg-info/PKG-INFO
new/matplotlib-inline-0.1.6/matplotlib_inline.egg-info/PKG-INFO
--- old/matplotlib-inline-0.1.3/matplotlib_inline.egg-info/PKG-INFO
2021-09-07 17:02:39.000000000 +0200
+++ new/matplotlib-inline-0.1.6/matplotlib_inline.egg-info/PKG-INFO
2022-08-18 05:47:05.000000000 +0200
@@ -1,15 +1,81 @@
Metadata-Version: 2.1
Name: matplotlib-inline
-Version: 0.1.3
+Version: 0.1.6
Summary: Inline Matplotlib backend for Jupyter
Home-page: https://github.com/ipython/matplotlib-inline
Author: IPython Development Team
Author-email: ipython-...@scipy.org
License: BSD 3-Clause
Keywords: python,ipython,matplotlib,jupyter
-Platform: UNKNOWN
Requires-Python: >=3.5
+Description-Content-Type: text/markdown
License-File: LICENSE
-UNKNOWN
+# Matplotlib Inline Back-end for IPython and Jupyter
+This package provides support for matplotlib to display figures directly
inline in the Jupyter notebook and related clients, as shown below.
+
+## Installation
+
+With conda:
+
+```bash
+conda install -c conda-forge matplotlib-inline
+```
+
+With pip:
+
+```bash
+pip install matplotlib-inline
+```
+
+## Usage
+
+Note that in current versions of JupyterLab and Jupyter Notebook, the explicit
use of the `%matplotlib inline` directive is not needed anymore, though other
third-party clients may still require it.
+
+This will produce a figure immediately below:
+
+```python
+%matplotlib inline
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+x = np.linspace(0, 3*np.pi, 500)
+plt.plot(x, np.sin(x**2))
+plt.title('A simple chirp');
+```
+
+## License
+
+Licensed under the terms of the BSD 3-Clause License, by the IPython
Development Team (see `LICENSE` file).
+
+BSD 3-Clause License
+
+Copyright (c) 2019-2022, IPython Development Team.
+All rights reserved.
+
+Redistribution and use in source and binary forms, with or without
+modification, are permitted provided that the following conditions are met:
+
+1. Redistributions of source code must retain the above copyright notice, this
+ list of conditions and the following disclaimer.
+
+2. Redistributions in binary form must reproduce the above copyright notice,
+ this list of conditions and the following disclaimer in the documentation
+ and/or other materials provided with the distribution.
+
+3. Neither the name of the copyright holder nor the names of its
+ contributors may be used to endorse or promote products derived from
+ this software without specific prior written permission.
+
+THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
+AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
+IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
+DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
+FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
+DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
+SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
+CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
+OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
+OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
diff -urN '--exclude=CVS' '--exclude=.cvsignore' '--exclude=.svn'
'--exclude=.svnignore' old/matplotlib-inline-0.1.3/setup.cfg
new/matplotlib-inline-0.1.6/setup.cfg
--- old/matplotlib-inline-0.1.3/setup.cfg 2021-09-07 17:02:39.191670000
+0200
+++ new/matplotlib-inline-0.1.6/setup.cfg 2022-08-18 05:47:05.680220600
+0200
@@ -1,7 +1,9 @@
[metadata]
name = matplotlib-inline
-version = 0.1.3
+version = attr: matplotlib_inline.__version__
description = Inline Matplotlib backend for Jupyter
+long_description = file: README.md, LICENSE
+long_description_content_type = text/markdown
author = IPython Development Team
author_email = ipython-...@scipy.org
url = https://github.com/ipython/matplotlib-inline
@@ -27,6 +29,7 @@
Programming Language :: Python :: 3.7
Programming Language :: Python :: 3.8
Programming Language :: Python :: 3.9
+ Programming Language :: Python :: 3.10
[egg_info]
tag_build =
