1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
|
%global _empty_manifest_terminate_build 0
Name: python-yt
Version: 4.1.4
Release: 1
Summary: An analysis and visualization toolkit for volumetric data
License: BSD 3-Clause
URL: https://yt-project.org/
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/4e/4a/c21cf26bd7f51ec7b2d4445bb60fd667c2fe28faa76cb996e7dca2e42deb/yt-4.1.4.tar.gz
Requires: python3-cmyt
Requires: python3-ipywidgets
Requires: python3-matplotlib
Requires: python3-more-itertools
Requires: python3-numpy
Requires: python3-packaging
Requires: python3-pillow
Requires: python3-pyparsing
Requires: python3-tomli-w
Requires: python3-tqdm
Requires: python3-unyt
Requires: python3-tomli
Requires: python3-importlib-metadata
Requires: python3-typing-extensions
Requires: python3-alabaster
Requires: python3-bottle
Requires: python3-jinja2
Requires: python3-jupyter-client
Requires: python3-nbconvert
Requires: python3-pyregion
Requires: python3-pyx
Requires: python3-runnotebook
Requires: python3-scipy
Requires: python3-sphinx
Requires: python3-sphinx-bootstrap-theme
Requires: python3-sphinx-rtd-theme
Requires: python3-arm-pyart
Requires: python3-astropy
Requires: python3-f90nml
Requires: python3-firefly
Requires: python3-glueviz
Requires: python3-h5py
Requires: python3-ipython
Requires: python3-libconf
Requires: python3-miniballcpp
Requires: python3-mpi4py
Requires: python3-netCDF4
Requires: python3-pandas
Requires: python3-pooch
Requires: python3-pyaml
Requires: python3-pykdtree
Requires: python3-pyqt5
Requires: python3-pyx
Requires: python3-requests
Requires: python3-scipy
Requires: python3-xarray
Requires: python3-ratarmount
Requires: python3-glue-core
Requires: python3-bottle
Requires: python3-cmyt
Requires: python3-ipywidgets
Requires: python3-matplotlib
Requires: python3-more-itertools
Requires: python3-numpy
Requires: python3-pillow
Requires: python3-pyparsing
Requires: python3-tomli-w
Requires: python3-unyt
Requires: python3-tomli
Requires: python3-importlib-metadata
Requires: python3-nose
Requires: python3-nose-exclude
Requires: python3-nose-timer
Requires: python3-pyaml
Requires: python3-pytest
Requires: python3-sympy
Requires: python3-mypy
Requires: python3-types-PyYAML
Requires: python3-types-chardet
Requires: python3-types-requests
Requires: python3-types-setuptools
%description
# The yt Project
[](https://pypi.org/project/yt)
[](https://pypi.org/project/yt/)
[](http://yt-project.org/docs/dev/)
[](https://mail.python.org/archives/list/yt-users@python.org//)
[](https://mail.python.org/archives/list/yt-dev@python.org//)
[](https://hub.yt/)
[](http://numfocus.org)
[](https://numfocus.salsalabs.org/donate-to-yt/index.html)
<!--- Tests and style --->
[](https://github.com/yt-project/yt/actions/workflows/build-test.yaml)
[](https://github.com/yt-project/yt/actions/workflows/bleeding-edge.yaml)
[](https://results.pre-commit.ci/latest/github/yt-project/yt/main)
[](https://github.com/psf/black)
[](https://pycqa.github.io/isort/)
<!--- [](https://codecov.io/gh/yt-project/yt) --->
<a href="http://yt-project.org"><img src="https://raw.githubusercontent.com/yt-project/yt/main/doc/source/_static/yt_logo.png" width="300"></a>
yt is an open-source, permissively-licensed Python library for analyzing and
visualizing volumetric data.
yt supports structured, variable-resolution meshes, unstructured meshes, and
discrete or sampled data such as particles. Focused on driving
physically-meaningful inquiry, yt has been applied in domains such as
astrophysics, seismology, nuclear engineering, molecular dynamics, and
oceanography. Composed of a friendly community of users and developers, we want
to make it easy to use and develop - we'd love it if you got involved!
We've written a [method
paper](https://ui.adsabs.harvard.edu/abs/2011ApJS..192....9T) you may be interested
in; if you use yt in the preparation of a publication, please consider citing
it.
## Code of Conduct
yt abides by a code of conduct partially modified from the PSF code of conduct,
and is found [in our contributing
guide](http://yt-project.org/docs/dev/developing/developing.html#yt-community-code-of-conduct).
## Installation
You can install the most recent stable version of yt either with conda from
[conda-forge](https://conda-forge.org/):
```shell
conda install -c conda-forge yt
```
or with pip:
```shell
python -m pip install yt
```
More information on the various ways to install yt, and in particular to install from source,
can be found on [the project's website](https://yt-project.org/docs/dev/installing.html).
## Getting Started
yt is designed to provide meaningful analysis of data. We have some Quickstart
example notebooks in the repository:
* [Introduction](https://github.com/yt-project/yt/tree/main/doc/source/quickstart/1\)_Introduction.ipynb)
* [Data Inspection](https://github.com/yt-project/yt/tree/main/doc/source/quickstart/2\)_Data_Inspection.ipynb)
* [Simple Visualization](https://github.com/yt-project/yt/tree/main/doc/source/quickstart/3\)_Simple_Visualization.ipynb)
* [Data Objects and Time Series](https://github.com/yt-project/yt/tree/main/doc/source/quickstart/4\)_Data_Objects_and_Time_Series.ipynb)
* [Derived Fields and Profiles](https://github.com/yt-project/yt/tree/main/doc/source/quickstart/5\)_Derived_Fields_and_Profiles.ipynb)
* [Volume Rendering](https://github.com/yt-project/yt/tree/main/doc/source/quickstart/6\)_Volume_Rendering.ipynb)
If you'd like to try these online, you can visit our [yt Hub](https://hub.yt/)
and run a notebook next to some of our example data.
## Contributing
We love contributions! yt is open source, built on open source, and we'd love
to have you hang out in our community.
We have developed some [guidelines](CONTRIBUTING.rst) for contributing to yt.
**Imposter syndrome disclaimer**: We want your help. No, really.
There may be a little voice inside your head that is telling you that you're not
ready to be an open source contributor; that your skills aren't nearly good
enough to contribute. What could you possibly offer a project like this one?
We assure you - the little voice in your head is wrong. If you can write code at
all, you can contribute code to open source. Contributing to open source
projects is a fantastic way to advance one's coding skills. Writing perfect code
isn't the measure of a good developer (that would disqualify all of us!); it's
trying to create something, making mistakes, and learning from those
mistakes. That's how we all improve, and we are happy to help others learn.
Being an open source contributor doesn't just mean writing code, either. You can
help out by writing documentation, tests, or even giving feedback about the
project (and yes - that includes giving feedback about the contribution
process). Some of these contributions may be the most valuable to the project as
a whole, because you're coming to the project with fresh eyes, so you can see
the errors and assumptions that seasoned contributors have glossed over.
(This disclaimer was originally written by
[Adrienne Lowe](https://github.com/adriennefriend) for a
[PyCon talk](https://www.youtube.com/watch?v=6Uj746j9Heo), and was adapted by yt
based on its use in the README file for the
[MetPy project](https://github.com/Unidata/MetPy))
## Resources
We have some community and documentation resources available.
* Our latest documentation is always at http://yt-project.org/docs/dev/ and it
includes recipes, tutorials, and API documentation
* The [discussion mailing
list](https://mail.python.org/archives/list/yt-users@python.org//)
should be your first stop for general questions
* The [development mailing
list](https://mail.python.org/archives/list/yt-dev@python.org//) is
better suited for more development issues
* You can also join us on Slack at yt-project.slack.com ([request an
invite](https://yt-project.org/slack.html))
Is your code compatible with yt ? Great ! Please consider giving us a shoutout as a shiny badge in your README
- markdown
```markdown
[![yt-project](https://img.shields.io/static/v1?label="works%20with"&message="yt"&color="blueviolet")](https://yt-project.org)
```
- rst
```reStructuredText
|yt-project|
.. |yt-project| image:: https://img.shields.io/static/v1?label="works%20with"&message="yt"&color="blueviolet"
:target: https://yt-project.org
```
## Powered by NumFOCUS
yt is a fiscally sponsored project of [NumFOCUS](https://numfocus.org/).
If you're interested in
supporting the active maintenance and development of this project, consider
[donating to the project](https://numfocus.salsalabs.org/donate-to-yt/index.html).
%package -n python3-yt
Summary: An analysis and visualization toolkit for volumetric data
Provides: python-yt
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
BuildRequires: python3-cffi
BuildRequires: gcc
BuildRequires: gdb
%description -n python3-yt
# The yt Project
[](https://pypi.org/project/yt)
[](https://pypi.org/project/yt/)
[](http://yt-project.org/docs/dev/)
[](https://mail.python.org/archives/list/yt-users@python.org//)
[](https://mail.python.org/archives/list/yt-dev@python.org//)
[](https://hub.yt/)
[](http://numfocus.org)
[](https://numfocus.salsalabs.org/donate-to-yt/index.html)
<!--- Tests and style --->
[](https://github.com/yt-project/yt/actions/workflows/build-test.yaml)
[](https://github.com/yt-project/yt/actions/workflows/bleeding-edge.yaml)
[](https://results.pre-commit.ci/latest/github/yt-project/yt/main)
[](https://github.com/psf/black)
[](https://pycqa.github.io/isort/)
<!--- [](https://codecov.io/gh/yt-project/yt) --->
<a href="http://yt-project.org"><img src="https://raw.githubusercontent.com/yt-project/yt/main/doc/source/_static/yt_logo.png" width="300"></a>
yt is an open-source, permissively-licensed Python library for analyzing and
visualizing volumetric data.
yt supports structured, variable-resolution meshes, unstructured meshes, and
discrete or sampled data such as particles. Focused on driving
physically-meaningful inquiry, yt has been applied in domains such as
astrophysics, seismology, nuclear engineering, molecular dynamics, and
oceanography. Composed of a friendly community of users and developers, we want
to make it easy to use and develop - we'd love it if you got involved!
We've written a [method
paper](https://ui.adsabs.harvard.edu/abs/2011ApJS..192....9T) you may be interested
in; if you use yt in the preparation of a publication, please consider citing
it.
## Code of Conduct
yt abides by a code of conduct partially modified from the PSF code of conduct,
and is found [in our contributing
guide](http://yt-project.org/docs/dev/developing/developing.html#yt-community-code-of-conduct).
## Installation
You can install the most recent stable version of yt either with conda from
[conda-forge](https://conda-forge.org/):
```shell
conda install -c conda-forge yt
```
or with pip:
```shell
python -m pip install yt
```
More information on the various ways to install yt, and in particular to install from source,
can be found on [the project's website](https://yt-project.org/docs/dev/installing.html).
## Getting Started
yt is designed to provide meaningful analysis of data. We have some Quickstart
example notebooks in the repository:
* [Introduction](https://github.com/yt-project/yt/tree/main/doc/source/quickstart/1\)_Introduction.ipynb)
* [Data Inspection](https://github.com/yt-project/yt/tree/main/doc/source/quickstart/2\)_Data_Inspection.ipynb)
* [Simple Visualization](https://github.com/yt-project/yt/tree/main/doc/source/quickstart/3\)_Simple_Visualization.ipynb)
* [Data Objects and Time Series](https://github.com/yt-project/yt/tree/main/doc/source/quickstart/4\)_Data_Objects_and_Time_Series.ipynb)
* [Derived Fields and Profiles](https://github.com/yt-project/yt/tree/main/doc/source/quickstart/5\)_Derived_Fields_and_Profiles.ipynb)
* [Volume Rendering](https://github.com/yt-project/yt/tree/main/doc/source/quickstart/6\)_Volume_Rendering.ipynb)
If you'd like to try these online, you can visit our [yt Hub](https://hub.yt/)
and run a notebook next to some of our example data.
## Contributing
We love contributions! yt is open source, built on open source, and we'd love
to have you hang out in our community.
We have developed some [guidelines](CONTRIBUTING.rst) for contributing to yt.
**Imposter syndrome disclaimer**: We want your help. No, really.
There may be a little voice inside your head that is telling you that you're not
ready to be an open source contributor; that your skills aren't nearly good
enough to contribute. What could you possibly offer a project like this one?
We assure you - the little voice in your head is wrong. If you can write code at
all, you can contribute code to open source. Contributing to open source
projects is a fantastic way to advance one's coding skills. Writing perfect code
isn't the measure of a good developer (that would disqualify all of us!); it's
trying to create something, making mistakes, and learning from those
mistakes. That's how we all improve, and we are happy to help others learn.
Being an open source contributor doesn't just mean writing code, either. You can
help out by writing documentation, tests, or even giving feedback about the
project (and yes - that includes giving feedback about the contribution
process). Some of these contributions may be the most valuable to the project as
a whole, because you're coming to the project with fresh eyes, so you can see
the errors and assumptions that seasoned contributors have glossed over.
(This disclaimer was originally written by
[Adrienne Lowe](https://github.com/adriennefriend) for a
[PyCon talk](https://www.youtube.com/watch?v=6Uj746j9Heo), and was adapted by yt
based on its use in the README file for the
[MetPy project](https://github.com/Unidata/MetPy))
## Resources
We have some community and documentation resources available.
* Our latest documentation is always at http://yt-project.org/docs/dev/ and it
includes recipes, tutorials, and API documentation
* The [discussion mailing
list](https://mail.python.org/archives/list/yt-users@python.org//)
should be your first stop for general questions
* The [development mailing
list](https://mail.python.org/archives/list/yt-dev@python.org//) is
better suited for more development issues
* You can also join us on Slack at yt-project.slack.com ([request an
invite](https://yt-project.org/slack.html))
Is your code compatible with yt ? Great ! Please consider giving us a shoutout as a shiny badge in your README
- markdown
```markdown
[![yt-project](https://img.shields.io/static/v1?label="works%20with"&message="yt"&color="blueviolet")](https://yt-project.org)
```
- rst
```reStructuredText
|yt-project|
.. |yt-project| image:: https://img.shields.io/static/v1?label="works%20with"&message="yt"&color="blueviolet"
:target: https://yt-project.org
```
## Powered by NumFOCUS
yt is a fiscally sponsored project of [NumFOCUS](https://numfocus.org/).
If you're interested in
supporting the active maintenance and development of this project, consider
[donating to the project](https://numfocus.salsalabs.org/donate-to-yt/index.html).
%package help
Summary: Development documents and examples for yt
Provides: python3-yt-doc
%description help
# The yt Project
[](https://pypi.org/project/yt)
[](https://pypi.org/project/yt/)
[](http://yt-project.org/docs/dev/)
[](https://mail.python.org/archives/list/yt-users@python.org//)
[](https://mail.python.org/archives/list/yt-dev@python.org//)
[](https://hub.yt/)
[](http://numfocus.org)
[](https://numfocus.salsalabs.org/donate-to-yt/index.html)
<!--- Tests and style --->
[](https://github.com/yt-project/yt/actions/workflows/build-test.yaml)
[](https://github.com/yt-project/yt/actions/workflows/bleeding-edge.yaml)
[](https://results.pre-commit.ci/latest/github/yt-project/yt/main)
[](https://github.com/psf/black)
[](https://pycqa.github.io/isort/)
<!--- [](https://codecov.io/gh/yt-project/yt) --->
<a href="http://yt-project.org"><img src="https://raw.githubusercontent.com/yt-project/yt/main/doc/source/_static/yt_logo.png" width="300"></a>
yt is an open-source, permissively-licensed Python library for analyzing and
visualizing volumetric data.
yt supports structured, variable-resolution meshes, unstructured meshes, and
discrete or sampled data such as particles. Focused on driving
physically-meaningful inquiry, yt has been applied in domains such as
astrophysics, seismology, nuclear engineering, molecular dynamics, and
oceanography. Composed of a friendly community of users and developers, we want
to make it easy to use and develop - we'd love it if you got involved!
We've written a [method
paper](https://ui.adsabs.harvard.edu/abs/2011ApJS..192....9T) you may be interested
in; if you use yt in the preparation of a publication, please consider citing
it.
## Code of Conduct
yt abides by a code of conduct partially modified from the PSF code of conduct,
and is found [in our contributing
guide](http://yt-project.org/docs/dev/developing/developing.html#yt-community-code-of-conduct).
## Installation
You can install the most recent stable version of yt either with conda from
[conda-forge](https://conda-forge.org/):
```shell
conda install -c conda-forge yt
```
or with pip:
```shell
python -m pip install yt
```
More information on the various ways to install yt, and in particular to install from source,
can be found on [the project's website](https://yt-project.org/docs/dev/installing.html).
## Getting Started
yt is designed to provide meaningful analysis of data. We have some Quickstart
example notebooks in the repository:
* [Introduction](https://github.com/yt-project/yt/tree/main/doc/source/quickstart/1\)_Introduction.ipynb)
* [Data Inspection](https://github.com/yt-project/yt/tree/main/doc/source/quickstart/2\)_Data_Inspection.ipynb)
* [Simple Visualization](https://github.com/yt-project/yt/tree/main/doc/source/quickstart/3\)_Simple_Visualization.ipynb)
* [Data Objects and Time Series](https://github.com/yt-project/yt/tree/main/doc/source/quickstart/4\)_Data_Objects_and_Time_Series.ipynb)
* [Derived Fields and Profiles](https://github.com/yt-project/yt/tree/main/doc/source/quickstart/5\)_Derived_Fields_and_Profiles.ipynb)
* [Volume Rendering](https://github.com/yt-project/yt/tree/main/doc/source/quickstart/6\)_Volume_Rendering.ipynb)
If you'd like to try these online, you can visit our [yt Hub](https://hub.yt/)
and run a notebook next to some of our example data.
## Contributing
We love contributions! yt is open source, built on open source, and we'd love
to have you hang out in our community.
We have developed some [guidelines](CONTRIBUTING.rst) for contributing to yt.
**Imposter syndrome disclaimer**: We want your help. No, really.
There may be a little voice inside your head that is telling you that you're not
ready to be an open source contributor; that your skills aren't nearly good
enough to contribute. What could you possibly offer a project like this one?
We assure you - the little voice in your head is wrong. If you can write code at
all, you can contribute code to open source. Contributing to open source
projects is a fantastic way to advance one's coding skills. Writing perfect code
isn't the measure of a good developer (that would disqualify all of us!); it's
trying to create something, making mistakes, and learning from those
mistakes. That's how we all improve, and we are happy to help others learn.
Being an open source contributor doesn't just mean writing code, either. You can
help out by writing documentation, tests, or even giving feedback about the
project (and yes - that includes giving feedback about the contribution
process). Some of these contributions may be the most valuable to the project as
a whole, because you're coming to the project with fresh eyes, so you can see
the errors and assumptions that seasoned contributors have glossed over.
(This disclaimer was originally written by
[Adrienne Lowe](https://github.com/adriennefriend) for a
[PyCon talk](https://www.youtube.com/watch?v=6Uj746j9Heo), and was adapted by yt
based on its use in the README file for the
[MetPy project](https://github.com/Unidata/MetPy))
## Resources
We have some community and documentation resources available.
* Our latest documentation is always at http://yt-project.org/docs/dev/ and it
includes recipes, tutorials, and API documentation
* The [discussion mailing
list](https://mail.python.org/archives/list/yt-users@python.org//)
should be your first stop for general questions
* The [development mailing
list](https://mail.python.org/archives/list/yt-dev@python.org//) is
better suited for more development issues
* You can also join us on Slack at yt-project.slack.com ([request an
invite](https://yt-project.org/slack.html))
Is your code compatible with yt ? Great ! Please consider giving us a shoutout as a shiny badge in your README
- markdown
```markdown
[![yt-project](https://img.shields.io/static/v1?label="works%20with"&message="yt"&color="blueviolet")](https://yt-project.org)
```
- rst
```reStructuredText
|yt-project|
.. |yt-project| image:: https://img.shields.io/static/v1?label="works%20with"&message="yt"&color="blueviolet"
:target: https://yt-project.org
```
## Powered by NumFOCUS
yt is a fiscally sponsored project of [NumFOCUS](https://numfocus.org/).
If you're interested in
supporting the active maintenance and development of this project, consider
[donating to the project](https://numfocus.salsalabs.org/donate-to-yt/index.html).
%prep
%autosetup -n yt-4.1.4
%build
%py3_build
%install
%py3_install
install -d -m755 %{buildroot}/%{_pkgdocdir}
if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi
if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi
if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi
if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi
pushd %{buildroot}
if [ -d usr/lib ]; then
find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/lib64 ]; then
find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/bin ]; then
find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/sbin ]; then
find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst
fi
touch doclist.lst
if [ -d usr/share/man ]; then
find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst
fi
popd
mv %{buildroot}/filelist.lst .
mv %{buildroot}/doclist.lst .
%files -n python3-yt -f filelist.lst
%dir %{python3_sitearch}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Wed Apr 12 2023 Python_Bot <Python_Bot@openeuler.org> - 4.1.4-1
- Package Spec generated
|
