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snob2's Introduction

Snob2

Symmetric group FFT library

Snob2 is a C++ library for computing the representations of the symmetric group S_n and computing Fourier transforms on S_n. Snob2 also has a Python front end.

Documentation for the C++ API can be found in the 'doc' directory. Documentation for the Python API is at https://risi-kondor.github.io/Snob2/

(C) Imre Risi Kondor, 2021

snob2's People

Contributors

risi-kondor avatar risi3 avatar

Stargazers

Sudhaunshu Hardikar avatar Tudor avatar Werner Dobrautz avatar  avatar Vishal Belsare avatar Ilyes Batatia avatar  avatar Ikigai avatar Nahum Maurice avatar Martin Plávala avatar Joseph Lee Hunsaker avatar Miles avatar Prof. Hy Truong Son avatar

Watchers

Joseph Lee Hunsaker avatar  avatar Ikigai avatar Martin Plávala avatar  avatar

snob2's Issues

Complex function support?

I apologize if this is already supported, but I couldn't really tell from the docs. Are Fourier transforms of complex functions supported? Thank you in advance.

Can't run tests

I was unable to make the tests on Ubuntu 20.04. Here is the error I got:

clang  -o testIntegerPartition testIntegerPartition.cpp -std=c++11 -O3 -ferror-limit=1   -I/home/shawn/cnine//include  -I/home/shawn/cnine//include/cmaps -I/home/shawn/cnine//objects/backendA -I/home/shawn/cnine//objects/backendB -I/home/shawn/cnine//objects/scalar  -I/home/shawn/cnine//objects/tensor  -I/home/shawn/cnine//objects/tensor_views  -I/home/shawn/cnine//objects/tensor_array  -I/home/shawn/cnine//objects/tensor_array/cell_ops  -I/home/shawn/GElib/include -I/home/shawn/GElib/objects/SO3 -I/home/shawn/GElib/objects/SO2 -I/home/shawn/Snob2/combinatorial -I/home/shawn/Snob2/Sn  -I/home/shawn/Snob2/include -lstdc++ -lm -lpthread  
In file included from testIntegerPartition.cpp:13:
In file included from /home/shawn/Snob2/combinatorial/CombinatorialClasses.hpp:21:
/home/shawn/Snob2/combinatorial/IntegerPartitions.hpp:43:15: error: use of undeclared identifier '_combibank'
      lambda=&_combibank->get_IntegerPartitions(n);
              ^
fatal error: too many errors emitted, stopping now [-ferror-limit=]
2 errors generated.
make: *** [Makefile:34: testIntegerPartition] Error 1

It looks like it "_combibank" is referenced before it is defined somewhere? Although it may also just be some issue with how I've configured things.

Accessing Elements of SnFunctions and SnVec

Hi Risi, I've been trying to use Snob2 from (main) to implement your QAP-solver from 2010 but I've been encountering some errors. I'm new to C++ so I've found it difficult to tell where in the source the issue lies. I've attached a jupyter notebook with examples of all the errors in snob (imported as Snob2), followed by the same code implemented in snob_base (imported as Snob1) if it is resolved by making the change.

The issues are mainly around retrieving specific values SnFunction, SnVec, SnPart might take, and also an issue with ClausenFFT not working on SnFunction from Snob2 but only on Snob1.

This is also the first time I've submitted an issue on GitHub, so I hope this is enough information about the errors! If you don't get the same errors I can send through exactly what happens on my end.

Here's the Jupyter file detailing the issues:
Errors in Snob.zip

ClausenFFT undefined

import snob
fft=snob.ClausenFFT(3)

gives

AttributeError Traceback (most recent call last)
Cell In[1], line 2
1 import snob
----> 2 fft=snob.ClausenFFT(3)
AttributeError: module 'snob' has no attribute 'ClausenFFT'

and

dir(snob)

returns

['ConvolveFn',
 'IntegerPartition',
 'IntegerPartitions',
 'InvFn',
 'LeftTranslateFn',
 'Permutation',
 'RightTranslateFn',
 'Sn',
 'SnCClass',
 'SnCharacter',
 'SnElement',
 'SnFunction',
 'SnIrrep',
 'SnType',
 'StandardYoungTableaux',
 'YoungTableau',
 '__builtins__',
 '__cached__',
 '__doc__',
 '__file__',
 '__loader__',
 '__name__',
 '__package__',
 '__path__',
 '__spec__',
 'device_id',
 'torch']

Did I miss anything?
Thanks! Looking forward to playing around with this!

Error in installing Snob2

Hello again Risi,

I encounter an error (pasted below) while installing Snob2.
The problem is a file not found:

../include/Snob2_base.cpp: No such file or directory.

It is strange, as in the setup.py the directory ../include is correctly included in the project.
This is the error:

llowing ninja to set a default number of workers... (overridable by setting the environment variable MAX_JOBS=N)
[1/1] /hpctmp/classicwuongo/envs/sage310/bin/x86_64-conda-linux-gnu-c++ -MMD -MF /home/svu/cccales/Snob2/python/build/temp.linux-x86_64-cpython-310/bindings/Snob2_bindings.o.d -Wno-unused-result -Wsign-compare -DNDEBUG -fwrapv -O2 -Wall -fPIC -O2 -isystem /hpctmp/classicwuongo/envs/sage310/include -fPIC -O2 -isystem /hpctmp/classicwuongo/envs/sage310/include -march=nocona -mtune=haswell -ftree-vectorize -fPIC -fstack-protector-strong -fno-plt -O2 -ffunction-sections -pipe -isystem /hpctmp/classicwuongo/envs/sage310/include -DNDEBUG -D_FORTIFY_SOURCE=2 -O2 -isystem /hpctmp/classicwuongo/envs/sage310/include -fPIC -I../../cnine -I../../cnine/include -I../../cnine/modules -I../../cnine/combinatorial -I../../cnine/containers -I../../cnine/math -I../../cnine/objects/backendA -I../../cnine/objects/backendB -I../../cnine/objects/scalar -I../../cnine/objects/tensor -I../../cnine/objects/tensor_views -I../../cnine/objects/tensor_views/functions -I../include -I../combinatorial -I../Sn -I/hpctmp/classicwuongo/envs/sage310/lib/python3.10/site-packages/torch/include -I/hpctmp/classicwuongo/envs/sage310/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -I/hpctmp/classicwuongo/envs/sage310/lib/python3.10/site-packages/torch/include/TH -I/hpctmp/classicwuongo/envs/sage310/lib/python3.10/site-packages/torch/include/THC -I/hpctmp/classicwuongo/envs/sage310/include/python3.10 -c -c /home/svu/cccales/Snob2/python/bindings/Snob2_bindings.cpp -o /home/svu/cccales/Snob2/python/build/temp.linux-x86_64-cpython-310/bindings/Snob2_bindings.o -std=c++14 -Wno-sign-compare -Wno-deprecated-declarations -Wno-unused-variable -Wno-reorder -Wno-reorder-ctor -Wno-overloaded-virtual -D_WITH_ATEN -DCNINE_RANGE_CHECKING -DCNINE_SIZE_CHECKING -DCNINE_DEVICE_CHECKING -DWITH_FAKE_GRAD -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE="_gcc"' '-DPYBIND11_STDLIB="_libstdcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1011"' -DTORCH_EXTENSION_NAME=snob_base -D_GLIBCXX_USE_CXX11_ABI=0
FAILED: /home/svu/cccales/Snob2/python/build/temp.linux-x86_64-cpython-310/bindings/Snob2_bindings.o
/hpctmp/classicwuongo/envs/sage310/bin/x86_64-conda-linux-gnu-c++ -MMD -MF /home/svu/cccales/Snob2/python/build/temp.linux-x86_64-cpython-310/bindings/Snob2_bindings.o.d -Wno-unused-result -Wsign-compare -DNDEBUG -fwrapv -O2 -Wall -fPIC -O2 -isystem /hpctmp/classicwuongo/envs/sage310/include -fPIC -O2 -isystem /hpctmp/classicwuongo/envs/sage310/include -march=nocona -mtune=haswell -ftree-vectorize -fPIC -fstack-protector-strong -fno-plt -O2 -ffunction-sections -pipe -isystem /hpctmp/classicwuongo/envs/sage310/include -DNDEBUG -D_FORTIFY_SOURCE=2 -O2 -isystem /hpctmp/classicwuongo/envs/sage310/include -fPIC -I../../cnine -I../../cnine/include -I../../cnine/modules -I../../cnine/combinatorial -I../../cnine/containers -I../../cnine/math -I../../cnine/objects/backendA -I../../cnine/objects/backendB -I../../cnine/objects/scalar -I../../cnine/objects/tensor -I../../cnine/objects/tensor_views -I../../cnine/objects/tensor_views/functions -I../include -I../combinatorial -I../Sn -I/hpctmp/classicwuongo/envs/sage310/lib/python3.10/site-packages/torch/include -I/hpctmp/classicwuongo/envs/sage310/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -I/hpctmp/classicwuongo/envs/sage310/lib/python3.10/site-packages/torch/include/TH -I/hpctmp/classicwuongo/envs/sage310/lib/python3.10/site-packages/torch/include/THC -I/hpctmp/classicwuongo/envs/sage310/include/python3.10 -c -c /home/svu/cccales/Snob2/python/bindings/Snob2_bindings.cpp -o /home/svu/cccales/Snob2/python/build/temp.linux-x86_64-cpython-310/bindings/Snob2_bindings.o -std=c++14 -Wno-sign-compare -Wno-deprecated-declarations -Wno-unused-variable -Wno-reorder -Wno-reorder-ctor -Wno-overloaded-virtual -D_WITH_ATEN -DCNINE_RANGE_CHECKING -DCNINE_SIZE_CHECKING -DCNINE_DEVICE_CHECKING -DWITH_FAKE_GRAD -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE="_gcc"' '-DPYBIND11_STDLIB="_libstdcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1011"' -DTORCH_EXTENSION_NAME=snob_base -D_GLIBCXX_USE_CXX11_ABI=0
/home/svu/cccales/Snob2/python/bindings/Snob2_bindings.cpp:17:10: fatal error: ../include/Snob2_base.cpp: No such file or directory
17 | #include "../include/Snob2_base.cpp"
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~
compilation terminated.
ninja: build stopped: subcommand failed.
Traceback (most recent call last):
File "/hpctmp/classicwuongo/envs/sage310/lib/python3.10/site-packages/torch/utils/cpp_extension.py", line 1893, in _run_ninja_build
subprocess.run(
File "/hpctmp/classicwuongo/envs/sage310/lib/python3.10/subprocess.py", line 526, in run
raise CalledProcessError(retcode, process.args,
subprocess.CalledProcessError: Command '['ninja', '-v']' returned non-zero exit status 1.


I take this opportunity to signal that:

  • the doc (https://risi-kondor.github.io/Snob2/) should be updated as there is no setup.sty file anymore, but setup.py
  • there is a warning suggesting to deprecate python setup.py install

This is the warning at about python setup.py install


python setup.py install
running install
/hpctmp/classicwuongo/envs/sage310/lib/python3.10/site-packages/setuptools/_distutils/cmd.py:66: SetuptoolsDeprecationWarning: setup.py install is deprecated.
!!

    ********************************************************************************
    Please avoid running ``setup.py`` directly.
    Instead, use pypa/build, pypa/installer or other
    standards-based tools.

    See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details.
    ********************************************************************************

!!
self.initialize_options()
/hpctmp/classicwuongo/envs/sage310/lib/python3.10/site-packages/setuptools/_distutils/cmd.py:66: EasyInstallDeprecationWarning: easy_install command is deprecated.
!!

    ********************************************************************************
    Please avoid running ``setup.py`` and ``easy_install``.
    Instead, use pypa/build, pypa/installer or other
    standards-based tools.

    See https://github.com/pypa/setuptools/issues/917 for details.
    ********************************************************************************

classic

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