diff --git a/examples/doi-10.48550-arXiv.2311.01545/_frameworks.py b/examples/doi-10.48550-arXiv.2311.01545/_frameworks.py index 13f743d..741051d 100644 --- a/examples/doi-10.48550-arXiv.2311.01545/_frameworks.py +++ b/examples/doi-10.48550-arXiv.2311.01545/_frameworks.py @@ -9,7 +9,7 @@ # Model used in https://arxiv.org/abs/2311.01545 -INPUT_GDOWN_LINK = 'https://drive.google.com/drive/folders/1VxK5mPu8bveaqFSSYnxrsKfZrTW_qXOX?usp=sharing' # Folder with model weights, sample graphs etc. Permission needs to be anyone with the link. +INPUT_GDOWN_LINK = 'https://drive.google.com/drive/folders/1VxK5mPu8bveaqFSSYnxrsKfZrTW_qXOX?usp=drive_link' # Folder with model weights, sample graphs etc. Permission needs to be anyone with the link. class SyntheticChemicalMotifIdentifier(BaseSyntheticChemicalMotifIdentifier): """Just a class that re use the framework above but that matches the parameters of the first paper. diff --git a/examples/doi-TBD/_additional_packages/NshellFinder/.github/workflows/black.yml b/examples/doi-TBD/_additional_packages/NshellFinder/.github/workflows/black.yml new file mode 100644 index 0000000..4aff0e9 --- /dev/null +++ b/examples/doi-TBD/_additional_packages/NshellFinder/.github/workflows/black.yml @@ -0,0 +1,12 @@ +name: black-action +on: [push, pull_request] +jobs: + linter_name: + name: runner / black formatter + runs-on: ubuntu-latest + steps: + - uses: actions/checkout@v2 + - uses: rickstaa/action-black@v1 + with: + black_args: ". --check" + fail_on_error: "False" \ No newline at end of file diff --git a/examples/doi-TBD/_additional_packages/NshellFinder/.github/workflows/python-tests.yml b/examples/doi-TBD/_additional_packages/NshellFinder/.github/workflows/python-tests.yml new file mode 100644 index 0000000..e29ed0d --- /dev/null +++ b/examples/doi-TBD/_additional_packages/NshellFinder/.github/workflows/python-tests.yml @@ -0,0 +1,47 @@ +# This workflow will install Python dependencies, run tests and lint with a variety of Python versions +# For more information see: https://docs.github.com/en/actions/automating-builds-and-tests/building-and-testing-python + +name: Python Tests + +on: + push: + branches: [ "main" ] + pull_request: + branches: [ "main" ] + repository_dispatch: + types: [ovito_update] +jobs: + build: + runs-on: ${{ matrix.os }} + timeout-minutes: 15 + strategy: + fail-fast: false + matrix: + os: [ubuntu-latest, macos-latest, windows-latest] + python-version: ["3.7", "3.10", "3.11"] + exclude: + - os: macos-latest + python-version: "3.7" + - os: windows-latest + python-version: "3.7" + steps: + - uses: actions/checkout@v3 + - name: Install apt dependencies + if: matrix.os == 'ubuntu-latest' + run: | + sudo apt install -y libegl1 libegl1-mesa libegl-mesa0 libgl1-mesa-glx libopengl0 + - name: Set up Python ${{ matrix.python-version }} + uses: actions/setup-python@v4 + with: + python-version: ${{ matrix.python-version }} + cache: 'pip' + check-latest: true + - name: Install python dependencies + run: | + python -m pip install --upgrade pip + python -m pip install pytest + python -m pip install --pre ovito + python -m pip install . + - name: Test with pytest + run: | + pytest \ No newline at end of file diff --git a/examples/doi-TBD/_additional_packages/NshellFinder/.gitignore b/examples/doi-TBD/_additional_packages/NshellFinder/.gitignore new file mode 100644 index 0000000..88f7d95 --- /dev/null +++ b/examples/doi-TBD/_additional_packages/NshellFinder/.gitignore @@ -0,0 +1,161 @@ +# Byte-compiled / optimized / DLL files +.vscode +__pycache__/ +*.py[cod] +*$py.class + +# C extensions +*.so + +# Distribution / packaging +.Python +build/ +develop-eggs/ +dist/ +downloads/ +eggs/ +.eggs/ +lib/ +lib64/ +parts/ +sdist/ +var/ +wheels/ +share/python-wheels/ +*.egg-info/ +.installed.cfg +*.egg +MANIFEST + +# PyInstaller +# Usually these files are written by a python script from a template +# before PyInstaller builds the exe, so as to inject date/other infos into it. +*.manifest +*.spec + +# Installer logs +pip-log.txt +pip-delete-this-directory.txt + +# Unit test / coverage reports +htmlcov/ +.tox/ +.nox/ +.coverage +.coverage.* +.cache +nosetests.xml +coverage.xml +*.cover +*.py,cover +.hypothesis/ +.pytest_cache/ +cover/ + +# Translations +*.mo +*.pot + +# Django stuff: +*.log +local_settings.py +db.sqlite3 +db.sqlite3-journal + +# Flask stuff: +instance/ +.webassets-cache + +# Scrapy stuff: +.scrapy + +# Sphinx documentation +docs/_build/ + +# PyBuilder +.pybuilder/ +target/ + +# Jupyter Notebook +.ipynb_checkpoints + +# IPython +profile_default/ +ipython_config.py + +# pyenv +# For a library or package, you might want to ignore these files since the code is +# intended to run in multiple environments; otherwise, check them in: +# .python-version + +# pipenv +# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control. +# However, in case of collaboration, if having platform-specific dependencies or dependencies +# having no cross-platform support, pipenv may install dependencies that don't work, or not +# install all needed dependencies. +#Pipfile.lock + +# poetry +# Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control. +# This is especially recommended for binary packages to ensure reproducibility, and is more +# commonly ignored for libraries. +# https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control +#poetry.lock + +# pdm +# Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control. +#pdm.lock +# pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it +# in version control. +# https://pdm.fming.dev/#use-with-ide +.pdm.toml + +# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm +__pypackages__/ + +# Celery stuff +celerybeat-schedule +celerybeat.pid + +# SageMath parsed files +*.sage.py + +# Environments +.env +.venv +env/ +venv/ +ENV/ +env.bak/ +venv.bak/ + +# Spyder project settings +.spyderproject +.spyproject + +# Rope project settings +.ropeproject + +# mkdocs documentation +/site + +# mypy +.mypy_cache/ +.dmypy.json +dmypy.json + +# Pyre type checker +.pyre/ + +# pytype static type analyzer +.pytype/ + +# Cython debug symbols +cython_debug/ + +# PyCharm +# JetBrains specific template is maintained in a separate JetBrains.gitignore that can +# be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore +# and can be added to the global gitignore or merged into this file. For a more nuclear +# option (not recommended) you can uncomment the following to ignore the entire idea folder. +#.idea/ diff --git a/examples/doi-TBD/_additional_packages/NshellFinder/README.md b/examples/doi-TBD/_additional_packages/NshellFinder/README.md new file mode 100644 index 0000000..fc179c5 --- /dev/null +++ b/examples/doi-TBD/_additional_packages/NshellFinder/README.md @@ -0,0 +1,53 @@ +# NShellFinder + +![tests](https://github.com/killiansheriff/NShellFinder/actions/workflows/python-tests.yml/badge.svg) + +Ovito Python modifier to find the n-th coordination shell neighbors. + +## Utilisation +Here is an example on how to find the indices of nearest neighbors -- cluster by shells up to certain cutoff -- for the fcc crystal structure. The scrip can be found in the ``examples/`` folder. + +```python +from ovito.io import import_file +from NshellFinder import NshellFinder + +pipeline = import_file("fcc.dump") +mod = NshellFinder(crystal_structure="fcc", cutoff=18.2) +pipeline.modifiers.append(mod) +data = pipeline.compute() + +neighbor_indices_per_shell = data.attributes["Neighbor indices per shell"] +# (number of nearest neighbor shells up to cutoff, number of atoms, number of nearest neighbors in the shell) + +first_nn = neighbor_indices_per_shell[0] # (number of atoms, 12 first nearest neigbors) +second_nn = neighbor_indices_per_shell[1] # (number of atoms, 6 second nearest neighbors) +``` + + +## Installation +For a standalone Python package or Conda environment, please use: +```bash +pip install --user NshellFinder +``` + +For *OVITO PRO* built-in Python interpreter, please use: +```bash +ovitos -m pip install --user NshellFinder +``` + +If you want to install the lastest git commit, please replace ``NshellFinder`` by ``git+https://github.com/killiansheriff/NshellFinder.git``. + +## Contact +If any questions, feel free to contact me (ksheriff at mit dot edu). + +## References & Citing +If you use this repository in your work, please cite: + +``` +@article{TBD, + title={TBD}, + author={Sheriff, Killian and Cao, Yifan and Freitas, Rodrigo}, + journal={arXiv preprint TBD}, + year={2024} +} +``` diff --git a/examples/doi-TBD/_additional_packages/NshellFinder/examples/fcc.dump b/examples/doi-TBD/_additional_packages/NshellFinder/examples/fcc.dump new file mode 100644 index 0000000..2b8023e --- /dev/null +++ b/examples/doi-TBD/_additional_packages/NshellFinder/examples/fcc.dump @@ -0,0 +1,8018 @@ +ITEM: TIMESTEP +0 +ITEM: NUMBER OF ATOMS +4000 +ITEM: BOX BOUNDS pp pp pp +0.0000000000000000e+00 3.5358469999999997e+01 +0.0000000000000000e+00 3.5358469999999997e+01 +0.0000000000000000e+00 3.5358469999999997e+01 +ITEM: ATOMS id type x y z c_peratom +1 1 0 0 0 -9.20131 +2 3 1.76792 1.76792 0 -8.67802 +3 2 1.76792 0 1.76792 -5.12882 +4 3 0 1.76792 1.76792 -8.49122 +101 1 0 0 3.53585 -8.80886 +102 3 1.76792 1.76792 3.53585 -8.38823 +5 2 3.53585 0 0 -5.26252 +6 2 5.30377 1.76792 0 -4.48591 +7 1 5.30377 0 1.76792 -10.1835 +8 1 3.53585 1.76792 1.76792 -8.94267 +105 1 3.53585 0 3.53585 -8.55825 +106 2 5.30377 1.76792 3.53585 -4.85189 +9 3 7.07169 0 0 -8.55297 +10 3 8.83962 1.76792 0 -8.10921 +11 1 8.83962 0 1.76792 -8.8154 +12 2 7.07169 1.76792 1.76792 -4.98071 +109 2 7.07169 0 3.53585 -4.72475 +110 1 8.83962 1.76792 3.53585 -9.31892 +13 1 10.6075 0 0 -8.31159 +14 3 12.3755 1.76792 0 -8.32717 +15 2 12.3755 0 1.76792 -4.85953 +16 3 10.6075 1.76792 1.76792 -8.17989 +113 2 10.6075 0 3.53585 -4.17427 +114 1 12.3755 1.76792 3.53585 -9.58919 +17 2 14.1434 0 0 -5.11824 +18 2 15.9113 1.76792 0 -4.46368 +19 3 15.9113 0 1.76792 -8.1929 +20 1 14.1434 1.76792 1.76792 -8.84189 +117 2 14.1434 0 3.53585 -4.35492 +118 3 15.9113 1.76792 3.53585 -8.07863 +21 2 0 3.53585 0 -4.86508 +22 2 1.76792 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26.5203 -4.89727 +3833 1 28.2918 21.2471 28.2943 -9.6879 +3834 2 30.0428 22.9806 28.2766 -4.74365 +3835 1 30.0025 21.2179 30.037 -8.28518 +3836 2 28.2664 22.9964 30.0536 -4.96333 +3769 2 33.5716 21.2085 26.5465 -4.12917 +3770 1 31.8054 22.9776 26.5404 -8.70215 +3837 3 31.8 21.2007 28.2995 -8.08412 +3838 1 33.5895 22.9431 28.3288 -8.42192 +3839 2 33.6157 21.1872 30.0532 -4.9855 +3840 3 31.8183 22.9794 30.0465 -8.10065 +3771 2 19.4478 24.7406 26.5333 -4.54431 +3772 1 17.704 26.4988 26.5534 -8.15107 +3841 1 17.6876 24.7665 28.2817 -8.67167 +3842 2 19.4494 26.5152 28.2909 -4.29135 +3843 3 19.4541 24.7588 30.0537 -8.47932 +3844 1 17.6957 26.5299 30.0309 -8.51665 +3773 1 22.9889 24.7721 26.4835 -9.27391 +3774 2 21.2232 26.518 26.5232 -4.90045 +3845 1 21.2023 24.7815 28.2829 -9.86688 +3846 2 22.9959 26.5211 28.2749 -4.69078 +3847 2 22.9897 24.7571 30.0316 -4.39792 +3848 1 21.2567 26.5414 30.0388 -9.37851 +3775 1 26.521 24.7026 26.4787 -9.10444 +3776 2 24.7688 26.5211 26.5248 -4.45246 +3849 1 24.7747 24.7801 28.2702 -9.14738 +3850 3 26.5208 26.5256 28.2782 -8.26708 +3851 2 26.5049 24.7582 30.0445 -4.80811 +3852 1 24.7069 26.5646 30.0415 -9.44586 +3777 2 30.0627 24.7442 26.5131 -5.12147 +3778 3 28.2783 26.5155 26.5064 -7.84666 +3853 1 28.2734 24.7044 28.2881 -9.14821 +3854 3 30.065 26.5028 28.2774 -8.40158 +3855 1 30.0243 24.7011 30.0577 -7.99235 +3856 3 28.2995 26.5175 30.0445 -8.18792 +3779 1 33.6087 24.7832 26.4785 -8.73657 +3780 2 31.8336 26.5062 26.5075 -5.04798 +3857 3 31.8251 24.7408 28.2872 -8.45544 +3858 2 33.5889 26.5164 28.2803 -5.3478 +3859 2 33.5953 24.7475 30.0471 -4.89701 +3860 3 31.8159 26.5201 30.0644 -7.9883 +3781 2 19.4322 28.2716 26.5367 -4.89719 +3782 1 17.7353 30.0487 26.5266 -9.36799 +3861 1 17.7184 28.3169 28.2892 -8.90432 +3862 2 19.4553 30.0654 28.2951 -3.99396 +3863 1 19.4634 28.2968 30.0446 -8.35878 +3864 1 17.6652 30.0721 30.0563 -9.05312 +3783 1 23.0269 28.2454 26.5344 -9.4342 +3784 1 21.1616 30.0539 26.5329 -9.10852 +3865 1 21.1761 28.2599 28.2532 -9.4794 +3866 1 22.9763 30.0572 28.2523 -9.042 +3867 2 22.9523 28.2999 30.0338 -4.61354 +3868 1 21.2186 30.0707 30.0678 -9.47148 +3785 1 26.4729 28.3159 26.5425 -8.65508 +3786 2 24.723 30.0578 26.5287 -4.84409 +3869 2 24.7372 28.2913 28.3105 -4.89601 +3870 3 26.5056 30.0706 28.2822 -8.08988 +3871 1 26.5308 28.2881 30.0605 -7.81259 +3872 1 24.7198 30.0615 30.0507 -8.56472 +3787 3 30.0776 28.2878 26.4961 -7.9242 +3788 3 28.2965 30.0721 26.5191 -7.79563 +3873 3 28.2977 28.3013 28.2764 -7.91383 +3874 1 30.1045 30.0392 28.2868 -7.52524 +3875 3 30.0651 28.2914 30.0519 -8.13428 +3876 3 28.3016 30.0571 30.0459 -7.89585 +3789 2 33.6096 28.2758 26.5339 -5.66411 +3790 3 31.855 30.057 26.5116 -8.42006 +3877 2 31.8669 28.2943 28.2719 -5.11462 +3878 2 33.6053 30.0496 28.2927 -4.66628 +3879 1 33.5935 28.3168 30.0752 -8.83981 +3880 2 31.8343 30.0548 30.0583 -4.65523 +3791 1 19.4491 31.8391 26.56 -8.83398 +3792 1 17.6339 33.5605 26.4998 -9.19061 +3881 1 17.6295 31.8288 28.2737 -9.0507 +3882 2 19.4298 33.5877 28.2889 -3.96068 +3883 1 19.4268 31.8057 30.0133 -9.15572 +3884 1 17.6569 33.5773 30.0836 -9.38168 +3793 2 22.9578 31.8307 26.5328 -4.48903 +3794 1 21.2231 33.564 26.5533 -9.07516 +3885 2 21.2021 31.8135 28.2925 -4.95067 +3886 2 22.9587 33.5692 28.285 -4.60351 +3887 2 22.9809 31.8051 30.0235 -4.64257 +3888 1 21.2081 33.5867 30.0233 -9.45314 +3795 3 26.5099 31.8342 26.5099 -7.90025 +3796 1 24.7212 33.6178 26.551 -8.6627 +3889 1 24.7436 31.8405 28.2682 -8.81874 +3890 2 26.5016 33.5914 28.2684 -3.89004 +3891 3 26.5155 31.8555 30.045 -8.08757 +3892 1 24.7094 33.6182 30.0399 -9.00522 +3797 3 30.0652 31.8301 26.5229 -7.96039 +3798 1 28.2962 33.5862 26.4822 -8.00065 +3893 1 28.2687 31.8625 28.2889 -7.46449 +3894 3 30.0615 33.5897 28.2783 -8.21334 +3895 3 30.0643 31.8366 30.0508 -7.84298 +3896 3 28.2968 33.6126 30.061 -8.19372 +3799 1 33.6254 31.8108 26.543 -8.07192 +3800 1 31.7984 33.625 26.5107 -8.60652 +3897 3 31.8385 31.8172 28.2881 -8.23273 +3898 3 33.598 33.5897 28.2795 -7.99729 +3899 1 33.6018 31.7895 30.0308 -8.70996 +3900 1 31.8405 33.6057 30.0646 -8.22451 +3901 3 17.667 17.6662 31.8191 -8.23616 +3902 2 19.4564 19.4177 31.8093 -4.1919 +3903 1 19.4378 17.672 33.5775 -8.59441 +3904 1 17.6779 19.4392 33.6023 -8.16712 +3905 2 21.2281 17.6479 31.8227 -4.46763 +3906 3 22.9877 19.4323 31.8084 -8.22301 +3907 1 23.0206 17.6388 33.5989 -9.48089 +3908 3 21.228 19.4262 33.5741 -8.39725 +3909 3 24.7597 17.6798 31.8168 -8.30719 +3910 2 26.5202 19.454 31.8149 -5.0652 +3911 3 26.5161 17.6832 33.5909 -8.22618 +3912 1 24.7451 19.4764 33.6203 -9.31329 +3913 3 28.2813 17.6701 31.8349 -8.20211 +3914 3 30.0295 19.4336 31.8219 -7.78227 +3915 2 30.0316 17.6743 33.6225 -4.57833 +3916 1 28.2689 19.4544 33.631 -9.08037 +3917 3 31.7988 17.6667 31.8377 -8.13544 +3918 2 33.6017 19.4623 31.8538 -5.11689 +3919 3 33.585 17.6848 33.6072 -8.3562 +3920 1 31.8126 19.4339 33.5766 -7.98757 +3921 3 17.6823 21.1932 31.8125 -8.0379 +3922 3 19.4514 22.9782 31.7971 -8.10723 +3923 3 19.4468 21.2215 33.5826 -7.92438 +3924 1 17.6403 22.986 33.554 -8.04667 +3925 1 21.216 21.1865 31.8076 -8.64929 +3926 3 22.9977 22.9689 31.8054 -8.29415 +3927 2 23.0022 21.2178 33.5963 -4.33573 +3928 3 21.2152 22.9674 33.59 -7.96065 +3929 3 24.7712 21.2026 31.8182 -8.24202 +3930 1 26.5379 22.9917 31.8008 -9.19842 +3931 2 26.5046 21.1983 33.5966 -4.25457 +3932 1 24.7874 22.9913 33.6033 -9.18517 +3933 3 28.2644 21.1965 31.817 -8.48217 +3934 3 30.039 22.9742 31.8215 -8.30205 +3935 3 30.0404 21.214 33.608 -8.15433 +3936 1 28.2552 22.9986 33.5586 -8.91444 +3937 3 31.8113 21.1962 31.8237 -8.25892 +3938 3 33.595 22.9722 31.8269 -8.10142 +3939 2 33.6098 21.2017 33.6086 -4.38645 +3940 3 31.8117 22.9911 33.5993 -8.24254 +3941 3 17.6853 24.7648 31.8076 -8.33576 +3942 2 19.486 26.5282 31.8072 -3.66818 +3943 3 19.4607 24.7467 33.5723 -7.96187 +3944 1 17.7121 26.5087 33.5671 -7.85458 +3945 1 21.2379 24.767 31.7897 -8.57168 +3946 2 22.9746 26.5255 31.7974 -4.38677 +3947 3 22.9842 24.7524 33.5732 -8.67227 +3948 1 21.2522 26.5527 33.6304 -9.31187 +3949 3 24.7523 24.7513 31.7971 -8.58151 +3950 1 26.5606 26.4638 31.8179 -8.97508 +3951 2 26.5124 24.7679 33.5835 -4.28633 +3952 1 24.735 26.5194 33.5606 -8.99763 +3953 2 28.296 24.763 31.8221 -5.0561 +3954 1 30.0115 26.5473 31.8689 -8.75937 +3955 2 30.0513 24.761 33.5913 -4.20979 +3956 2 28.282 26.5082 33.5828 -4.72884 +3957 1 31.8029 24.758 31.8021 -7.72738 +3958 3 33.5945 26.521 31.8193 -8.13423 +3959 3 33.5983 24.7443 33.5847 -8.15811 +3960 3 31.8227 26.5194 33.5866 -7.99525 +3961 1 17.7085 28.3285 31.7965 -8.22928 +3962 2 19.4488 30.0734 31.7963 -4.17609 +3963 3 19.4592 28.2833 33.5834 -8.41787 +3964 3 17.6716 30.0409 33.5808 -8.35107 +3965 1 21.2476 28.2869 31.8106 -9.40621 +3966 2 22.9859 30.0583 31.7973 -4.7066 +3967 2 22.9949 28.2785 33.5784 -4.68465 +3968 3 21.2229 30.0564 33.5793 -8.30294 +3969 1 24.6994 28.3006 31.811 -8.50697 +3970 3 26.5137 30.0646 31.8208 -8.26366 +3971 1 26.5829 28.2893 33.5472 -8.52602 +3972 3 24.7498 30.0456 33.5916 -8.16202 +3973 2 28.2868 28.2888 31.8317 -4.43394 +3974 1 30.0735 30.0436 31.8024 -8.73716 +3975 2 30.0344 28.2847 33.5904 -5.03482 +3976 2 28.3141 30.0563 33.5967 -5.03652 +3977 3 31.8213 28.2922 31.8262 -8.07794 +3978 3 33.6034 30.0629 31.8355 -8.22419 +3979 1 33.629 28.2578 33.6166 -8.43481 +3980 3 31.8145 30.0523 33.5871 -8.26507 +3981 2 17.662 31.8164 31.7969 -4.59837 +3982 3 19.4442 33.5718 31.8135 -8.19451 +3983 1 19.409 31.7971 33.5889 -8.24368 +3984 3 17.6746 33.5849 33.5991 -8.26001 +3985 3 21.2106 31.8326 31.8172 -8.17631 +3986 3 22.9761 33.5937 31.8098 -8.29624 +3987 1 22.983 31.8284 33.5516 -7.75123 +3988 3 21.2191 33.5858 33.602 -7.85331 +3989 3 24.758 31.8371 31.8181 -8.06829 +3990 1 26.5079 33.643 31.7934 -7.68938 +3991 1 26.5581 31.776 33.6533 -8.22531 +3992 3 24.7656 33.6036 33.584 -7.80557 +3993 3 28.2939 31.8288 31.8307 -7.91077 +3994 1 30.0959 33.6049 31.8439 -8.9838 +3995 3 30.0679 31.8367 33.5857 -8.47087 +3996 3 28.297 33.6022 33.5874 -8.042 +3997 2 31.8248 31.8455 31.8078 -4.39694 +3998 1 33.5913 33.6041 31.8651 -9.19822 +3999 3 33.5864 31.8467 33.5886 -8.39492 +4000 2 31.8184 33.6078 33.5843 -4.54692 diff --git a/examples/doi-TBD/_additional_packages/NshellFinder/examples/main.py b/examples/doi-TBD/_additional_packages/NshellFinder/examples/main.py new file mode 100644 index 0000000..c0eb4bc --- /dev/null +++ b/examples/doi-TBD/_additional_packages/NshellFinder/examples/main.py @@ -0,0 +1,12 @@ +from ovito.io import import_file +from NshellFinder import NshellFinder + +pipeline = import_file("fcc.dump") +mod = NshellFinder(crystal_structure="fcc", cutoff=18.2) +pipeline.modifiers.append(mod) +data = pipeline.compute() + +neighbor_indices_per_shell = data.attributes["Neighbor indices per shell"] + +first_nn = neighbor_indices_per_shell[0] # (number of atoms, 12 first nearest neigbors) +second_nn = neighbor_indices_per_shell[1] # (number of atoms, 6 second nearest neighbors) \ No newline at end of file diff --git a/examples/doi-TBD/_additional_packages/NshellFinder/pyproject.toml b/examples/doi-TBD/_additional_packages/NshellFinder/pyproject.toml new file mode 100644 index 0000000..3f4f20b --- /dev/null +++ b/examples/doi-TBD/_additional_packages/NshellFinder/pyproject.toml @@ -0,0 +1,30 @@ +[build-system] +requires = ["setuptools", "wheel"] +build-backend = "setuptools.build_meta" + +[project] +name = "NshellFinder" +version = "0.0.5" +description = "OVITO Python modifier to find n-th shell nearest neighbors." +keywords = ["ovito", "python-modifier"] +authors = [{name = "Killian Sheriff", email = "ksheriff@mit.edu"}] +maintainers = [{name = "Killian Sheriff", email = "ksheriff@mit.edu"}] +license = {text = "MIT License"} +readme = "README.md" +requires-python = ">=3.7" +dependencies = [ + "ovito >= 3.9.1", +] + +[project.urls] +repository = "https://github.com/killiansheriff/NshellFinder" + +[project.entry-points.'OVITO.Modifier'] +"Warren Cowley Parameters" = "NshellFinder:NshellFinder" + +[tool.pytest.ini_options] +filterwarnings = [ + "error", + "ignore:module 'sre_parse' is deprecated:DeprecationWarning", + "ignore:module 'sre_constants' is deprecated:DeprecationWarning", +] \ No newline at end of file diff --git a/examples/doi-TBD/_additional_packages/NshellFinder/src/NshellFinder/__init__.py b/examples/doi-TBD/_additional_packages/NshellFinder/src/NshellFinder/__init__.py new file mode 100644 index 0000000..51f7e77 --- /dev/null +++ b/examples/doi-TBD/_additional_packages/NshellFinder/src/NshellFinder/__init__.py @@ -0,0 +1,60 @@ +import numpy as np +from ovito.data import CutoffNeighborFinder, DataCollection +from ovito.pipeline import ModifierInterface +from traits.api import Float, String + +from .shell_information import NUMBER_OF_ATOMS_IN_SHELL + + +class NshellFinder(ModifierInterface): + """ """ + + cutoff = Float(default_value=18.2) + crystal_structure = String(value="fcc") + + def get_cumsum_atom_in_shell(self): + number_of_atoms_in_shells = NUMBER_OF_ATOMS_IN_SHELL[self.crystal_structure] + + cum_sum_atom_in_shell = np.zeros(len(number_of_atoms_in_shells) + 1) + cum_sum_atom_in_shell[1:] = np.cumsum(number_of_atoms_in_shells) + + return cum_sum_atom_in_shell + + def get_nshell_neighbor_idx(self, nshell, cum_sum_atom_in_shell, neigh_idx): + lb_count = int(cum_sum_atom_in_shell[nshell]) + up_count = int(cum_sum_atom_in_shell[nshell + 1]) + + nn_ind_in_shell = neigh_idx[ + :, + lb_count:up_count, + ] + return nn_ind_in_shell + + def modify(self, data: DataCollection, frame: int, **kwargs): + finder = CutoffNeighborFinder(self.cutoff, data) + neigh_idx, _ = finder.find_all(sort_by="distance") + + N = data.particles.count + + starts = np.searchsorted(neigh_idx[:, 0], np.arange(N), side="left") + ends = np.searchsorted(neigh_idx[:, 0], np.arange(N), side="right") + + neigh_idx = np.array( + [neigh_idx[starts[i] : ends[i]][:, 1] for i in range(N)] + ) # (Natoms, Nneigh within cutoff) + + cum_sum_atom_in_shell = self.get_cumsum_atom_in_shell() + + max_shell_given_cutoff = np.argmax( + np.where(cum_sum_atom_in_shell <= len(neigh_idx[0])) + ) + + neighbor_indices_per_shell = [] + + for nshell in range(max_shell_given_cutoff): + nshell_nn_indices = self.get_nshell_neighbor_idx( + nshell, cum_sum_atom_in_shell, neigh_idx + ) + neighbor_indices_per_shell.append(nshell_nn_indices) + + data.attributes["Neighbor indices per shell"] = neighbor_indices_per_shell diff --git a/examples/doi-TBD/_additional_packages/NshellFinder/src/NshellFinder/concat.py b/examples/doi-TBD/_additional_packages/NshellFinder/src/NshellFinder/concat.py new file mode 100644 index 0000000..1e8e23a --- /dev/null +++ b/examples/doi-TBD/_additional_packages/NshellFinder/src/NshellFinder/concat.py @@ -0,0 +1,50 @@ +import numpy as np +from ovito.io import import_file +from tqdm import tqdm + +from NshellFinder import NshellFinder + + +def concat_nshell_neighbor_idx(dump_files, cutoff, crystal_structure, nframe=0): + # Get and shift the neighbor indices based on how many dump file I have + Ndump = len(dump_files) + indices = [] + + count = [] + + for i in tqdm(range(Ndump), desc="Dump i"): + pipe = import_file( + dump_files[i] + ) # don't import all at same type -- issue with multiple frame + pipe.modifiers.append( + NshellFinder(cutoff=cutoff, crystal_structure=crystal_structure) + ) + + data = pipe.compute(nframe) + + count.append(data.particles.count) + nn = data.attributes["Neighbor indices per shell"] + + indices.append(nn) + + max_nshell = len(indices[0]) + + indices_n = [] + for n in range(max_nshell): + indices_i = [] + for i in range(Ndump): + shifted_idx = indices[i][n] + i * count[i] + indices_i.append(shifted_idx) + indices_n.append(np.concatenate(indices_i)) + + return indices_n + + +# if __name__ == "__main__": +# dump_files = [ +# f"/home/ksheriff/PAPERS/first_paper/03_mtp/data/dumps/dumps_mtp_mc/ordered_relaxation_20_{i}_300K.dump" +# for i in range(1, 216 + 1) +# ] +# shifted_nshell_indices = concat_nshell_neighbor_idx( +# dump_files=dump_files, cutoff=18.2, crystal_structure="fcc" +# ) diff --git a/examples/doi-TBD/_additional_packages/NshellFinder/src/NshellFinder/shell_information.py b/examples/doi-TBD/_additional_packages/NshellFinder/src/NshellFinder/shell_information.py new file mode 100644 index 0000000..d1714e4 --- /dev/null +++ b/examples/doi-TBD/_additional_packages/NshellFinder/src/NshellFinder/shell_information.py @@ -0,0 +1,340 @@ +import numpy as np + +NUMBER_OF_ATOMS_IN_SHELL = { + "fcc": np.array( + [ + 12.0, + 6.0, + 24.0, + 12.0, + 24.0, + 8.0, + 48.0, + 6.0, + 36.0, + 24.0, + 24.0, + 24.0, + 72.0, + 48.0, + 12.0, + 48.0, + 30.0, + 72.0, + 24.0, + 48.0, + 24.0, + 48.0, + 8.0, + 84.0, + 24.0, + 96.0, + 48.0, + 24.0, + 96.0, + 6.0, + 96.0, + 48.0, + 48.0, + 36.0, + 120.0, + 24.0, + 48.0, + 24.0, + 48.0, + 48.0, + 120.0, + 24.0, + 120.0, + 96.0, + 24.0, + 108.0, + 30.0, + 48.0, + 72.0, + 72.0, + 32.0, + 144.0, + 96.0, + 72.0, + 72.0, + 48.0, + 120.0, + 144.0, + 12.0, + 48.0, + 48.0, + 168.0, + 48.0, + 96.0, + 48.0, + 48.0, + 30.0, + 192.0, + 24.0, + 120.0, + 72.0, + 96.0, + 96.0, + 24.0, + 108.0, + 96.0, + 120.0, + 48.0, + 144.0, + 24.0, + 144.0, + 24.0, + 96.0, + 72.0, + 144.0, + 48.0, + 144.0, + 48.0, + 8.0, + 240.0, + 54.0, + 120.0, + 84.0, + 72.0, + 48.0, + 240.0, + 24.0, + 96.0, + 72.0, + 72.0, + 96.0, + 120.0, + 144.0, + 48.0, + 96.0, + 48.0, + 240.0, + 24.0, + 216.0, + 72.0, + 96.0, + 132.0, + 72.0, + 144.0, + 96.0, + 144.0, + 192.0, + 6.0, + 96.0, + 96.0, + 72.0, + 96.0, + 240.0, + 24.0, + 192.0, + 48.0, + 144.0, + 96.0, + 168.0, + 48.0, + 96.0, + 144.0, + 36.0, + 240.0, + 48.0, + 168.0, + 120.0, + 72.0, + 56.0, + 144.0, + 24.0, + 240.0, + 96.0, + 96.0, + 48.0, + 312.0, + 144.0, + 24.0, + 96.0, + 102.0, + 264.0, + 48.0, + 96.0, + 72.0, + 144.0, + 48.0, + 180.0, + 48.0, + 216.0, + 120.0, + 120.0, + 240.0, + 24.0, + 192.0, + 144.0, + 72.0, + 120.0, + 216.0, + 48.0, + 144.0, + 144.0, + 48.0, + 336.0, + 96.0, + 192.0, + 96.0, + 24.0, + 240.0, + 48.0, + 192.0, + 108.0, + 120.0, + 72.0, + 240.0, + 30.0, + 192.0, + 168.0, + 192.0, + 48.0, + ] + ), + "bcc": np.array( + [ + 8.0, + 6.0, + 12.0, + 24.0, + 8.0, + 6.0, + 24.0, + 24.0, + 24.0, + 32.0, + 12.0, + 48.0, + 30.0, + 24.0, + 24.0, + 24.0, + 8.0, + 48.0, + 24.0, + 48.0, + 72.0, + 6.0, + 24.0, + 48.0, + 36.0, + 56.0, + 24.0, + 24.0, + 72.0, + 48.0, + 24.0, + 48.0, + 24.0, + 72.0, + 30.0, + 72.0, + 72.0, + 32.0, + 48.0, + 72.0, + 48.0, + 48.0, + 12.0, + 120.0, + 48.0, + 48.0, + 72.0, + 48.0, + 30.0, + 56.0, + 24.0, + 72.0, + 96.0, + 24.0, + 24.0, + 96.0, + 48.0, + 120.0, + 24.0, + 24.0, + 120.0, + 72.0, + 48.0, + 48.0, + 8.0, + 96.0, + 54.0, + 84.0, + 96.0, + 48.0, + 24.0, + 72.0, + 72.0, + 96.0, + 96.0, + 48.0, + 120.0, + 48.0, + 24.0, + 48.0, + 72.0, + 104.0, + 72.0, + 96.0, + 168.0, + 6.0, + 96.0, + 96.0, + 96.0, + 48.0, + 24.0, + 48.0, + 120.0, + 96.0, + 48.0, + 72.0, + 36.0, + 96.0, + 48.0, + 120.0, + 192.0, + 56.0, + 24.0, + 72.0, + 96.0, + 48.0, + 144.0, + 24.0, + 96.0, + 102.0, + 48.0, + 72.0, + 72.0, + 48.0, + 144.0, + 48.0, + 120.0, + 120.0, + 24.0, + 96.0, + 144.0, + 120.0, + 104.0, + 48.0, + 192.0, + 48.0, + 96.0, + 72.0, + 24.0, + 120.0, + 48.0, + 108.0, + 192.0, + 72.0, + 30.0, + 48.0, + 168.0, + 48.0, + ] + ), + "hcp": None, +} diff --git a/examples/doi-TBD/_additional_packages/Polya/.github/workflows/black.yml b/examples/doi-TBD/_additional_packages/Polya/.github/workflows/black.yml new file mode 100644 index 0000000..4aff0e9 --- /dev/null +++ b/examples/doi-TBD/_additional_packages/Polya/.github/workflows/black.yml @@ -0,0 +1,12 @@ +name: black-action +on: [push, pull_request] +jobs: + linter_name: + name: runner / black formatter + runs-on: ubuntu-latest + steps: + - uses: actions/checkout@v2 + - uses: rickstaa/action-black@v1 + with: + black_args: ". --check" + fail_on_error: "False" \ No newline at end of file diff --git a/examples/doi-TBD/_additional_packages/Polya/.gitignore b/examples/doi-TBD/_additional_packages/Polya/.gitignore new file mode 100644 index 0000000..c0ff449 --- /dev/null +++ b/examples/doi-TBD/_additional_packages/Polya/.gitignore @@ -0,0 +1,163 @@ +/.vscode + + +#Byte-compiled / optimized / DLL files +__pycache__/ +*.py[cod] +*$py.class + +# C extensions +*.so + +# Distribution / packaging +.Python +build/ +develop-eggs/ +dist/ +downloads/ +eggs/ +.eggs/ +lib/ +lib64/ +parts/ +sdist/ +var/ +wheels/ +share/python-wheels/ +*.egg-info/ +.installed.cfg +*.egg +MANIFEST + +# PyInstaller +# Usually these files are written by a python script from a template +# before PyInstaller builds the exe, so as to inject date/other infos into it. +*.manifest +*.spec + +# Installer logs +pip-log.txt +pip-delete-this-directory.txt + +# Unit test / coverage reports +htmlcov/ +.tox/ +.nox/ +.coverage +.coverage.* +.cache +nosetests.xml +coverage.xml +*.cover +*.py,cover +.hypothesis/ +.pytest_cache/ +cover/ + +# Translations +*.mo +*.pot + +# Django stuff: +*.log +local_settings.py +db.sqlite3 +db.sqlite3-journal + +# Flask stuff: +instance/ +.webassets-cache + +# Scrapy stuff: +.scrapy + +# Sphinx documentation +docs/_build/ + +# PyBuilder +.pybuilder/ +target/ + +# Jupyter Notebook +.ipynb_checkpoints + +# IPython +profile_default/ +ipython_config.py + +# pyenv +# For a library or package, you might want to ignore these files since the code is +# intended to run in multiple environments; otherwise, check them in: +# .python-version + +# pipenv +# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control. +# However, in case of collaboration, if having platform-specific dependencies or dependencies +# having no cross-platform support, pipenv may install dependencies that don't work, or not +# install all needed dependencies. +#Pipfile.lock + +# poetry +# Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control. +# This is especially recommended for binary packages to ensure reproducibility, and is more +# commonly ignored for libraries. +# https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control +#poetry.lock + +# pdm +# Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control. +#pdm.lock +# pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it +# in version control. +# https://pdm.fming.dev/#use-with-ide +.pdm.toml + +# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm +__pypackages__/ + +# Celery stuff +celerybeat-schedule +celerybeat.pid + +# SageMath parsed files +*.sage.py + +# Environments +.env +.venv +env/ +venv/ +ENV/ +env.bak/ +venv.bak/ + +# Spyder project settings +.spyderproject +.spyproject + +# Rope project settings +.ropeproject + +# mkdocs documentation +/site + +# mypy +.mypy_cache/ +.dmypy.json +dmypy.json + +# Pyre type checker +.pyre/ + +# pytype static type analyzer +.pytype/ + +# Cython debug symbols +cython_debug/ + +# PyCharm +# JetBrains specific template is maintained in a separate JetBrains.gitignore that can +# be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore +# and can be added to the global gitignore or merged into this file. For a more nuclear +# option (not recommended) you can uncomment the following to ignore the entire idea folder. +#.idea/ \ No newline at end of file diff --git a/examples/doi-TBD/_additional_packages/Polya/README.md b/examples/doi-TBD/_additional_packages/Polya/README.md new file mode 100644 index 0000000..c33feee --- /dev/null +++ b/examples/doi-TBD/_additional_packages/Polya/README.md @@ -0,0 +1,36 @@ +# Polya +A python implementation of Polya's enumeration theory and pattern inventory formula. + +# Usage + +Here is an example on how to extract the cycle index polynomial (p_g) and number of distinct first coordination polyhedron (nms) for the fcc crystal structure with a number of ntypes = 3 chemical elements. Additonal graph geometries can be defined in ``polya/_src/graphs.py``. This example can be found in the ``examples/`` folder. + +```python +from polya import Polya +pl = Polya(graph_name="fcc") +p_g, nms = pl.get_gt(ntypes=3) +print(p_g) +``` + +## Installation +For a standalone Python package or Conda environment, please use: +```bash +pip install --user polya +``` + +If you want to install the lastest git commit, please replace ``polya`` by ``git+https://github.com/killiansheriff/polya.git``. + +## Contact +If any questions, feel free to contact me (ksheriff at mit dot edu). + +## References & Citing +If you use this repository in your work, please cite: + +``` +@article{TOBEUPDATED, + title={TOBEUPDATED}, + author={Sheriff, Killian and Cao, Yifan and Freitas, Rodrigo}, + journal={arXiv preprint TOBEUPDATED}, + year={2024} +} +``` \ No newline at end of file diff --git a/examples/doi-TBD/_additional_packages/Polya/examples/main.py b/examples/doi-TBD/_additional_packages/Polya/examples/main.py new file mode 100644 index 0000000..ab33d9f --- /dev/null +++ b/examples/doi-TBD/_additional_packages/Polya/examples/main.py @@ -0,0 +1,5 @@ +from polya import Polya + +pl = Polya(graph_name="fcc") +p_g, nms = pl.get_gt(ntypes=3) +print(p_g) diff --git a/examples/doi-TBD/_additional_packages/Polya/polya/__init__.py b/examples/doi-TBD/_additional_packages/Polya/polya/__init__.py new file mode 100644 index 0000000..7f9da32 --- /dev/null +++ b/examples/doi-TBD/_additional_packages/Polya/polya/__init__.py @@ -0,0 +1 @@ +from polya._src.polya import Polya diff --git a/examples/doi-TBD/_additional_packages/Polya/polya/_src/__init__.py b/examples/doi-TBD/_additional_packages/Polya/polya/_src/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/examples/doi-TBD/_additional_packages/Polya/polya/_src/graphs.py b/examples/doi-TBD/_additional_packages/Polya/polya/_src/graphs.py new file mode 100644 index 0000000..d8b1ea2 --- /dev/null +++ b/examples/doi-TBD/_additional_packages/Polya/polya/_src/graphs.py @@ -0,0 +1,220 @@ +import itertools + +import igraph +import matplotlib.pyplot as plt +import numpy as np + + +class GraphBase: + def generate_permutations(self, values, coords): + signs = list(itertools.product([1, -1], repeat=len(values))) + permutations = [] + for sign in signs: + value = tuple(val * s for val, s in zip(values, sign)) + permutations.extend(list((itertools.permutations(value, 3)))) + coords = np.vstack((coords, np.array(list(set(permutations))))) + + return coords + + def get_edges(self, vertexpositions, nn_dst, atol=0.1): + # Subtract each point from all the other points + diff = vertexpositions[:, np.newaxis, :] - vertexpositions[np.newaxis, :, :] + # Compute the norm of the differences along the last axis + distances = np.linalg.norm(diff, axis=-1) + # Add edges to the graph + mask = np.isclose(distances, nn_dst, atol=atol) + edge_index_0, edge_index_1 = np.where(mask) + edges = [(edge_index_0[i], edge_index_1[i]) for i in range(len(edge_index_0))] + edges = np.unique(np.sort(edges), axis=0) + return edges, distances + + def plot(self, g, save_name): + # Quick viz plotting + # import matplotlib.pyplot as plt + fig, ax = plt.subplots(nrows=1, ncols=1) + + h = g + # igraph draw + # ax1.set_title("Plot with igraph plot") + layout = h.layout_kamada_kawai() + igraph.plot(h, layout=layout, target=ax) + ax.set_title(self.graph_name) + plt.axis("off") + plt.savefig(save_name) + + def get_graph(self): + pass + + +# SPECIFIC GRAPH IMPLEMENTATION + + +class Fcc1nnGraph(GraphBase): + def __init__(self, **kwargs): + super().__init__(**kwargs) + + def get_graph(self): + # Define the vertex positions + # 1NN atoms (sqrt(2)/2 away) + coords = self.generate_permutations((0, 1 / 2, 1 / 2), np.zeros((1, 3))) + vertexpositions = coords[1:] + + g = igraph.Graph() + g.add_vertices(len(vertexpositions)) + edges, distances = self.get_edges(vertexpositions, 1 / np.sqrt(2)) + + g.add_edges(edges) + g.vs["pos"] = vertexpositions + + return g + + +class Bcc1nnGraph(GraphBase): + def __init__(self, **kwargs): + super().__init__(**kwargs) + + def get_graph(self): + vertexpositions = np.array(list(itertools.product([-1, 1], repeat=3))) * 0.5 + + # Create an empty igraph graph object + g = igraph.Graph(directed=False) + + g.add_vertices(len(vertexpositions)) + + edges_1nn, distances = self.get_edges(vertexpositions, np.sqrt(3) / 2) + + edges_2nn, _ = self.get_edges(vertexpositions, 1) + + if len(edges_1nn) > 0: + edges = np.concatenate([edges_1nn, edges_2nn]) + else: + edges = edges_2nn + + g.add_edges(edges) + + return g + + +class Fcc1nn2nnGraph(GraphBase): + def __init__(self, **kwargs): + super().__init__(**kwargs) + + def get_graph(self): + # Central atom (Origin) + coords = np.zeros((1, 3)) + # 1NN atoms (sqrt(2)/2 away) + values = (0, 1 / 2, 1 / 2) + coords = self.generate_permutations(values, coords) + + # 2NN atoms (1.0 away) + values = (0, 0, 1) + coords = self.generate_permutations(values, coords) + + # remove central atom + vertexpositions = coords[1:] + + g = igraph.Graph() + g.add_vertices(len(vertexpositions)) + edges, distances = self.get_edges(vertexpositions, np.sqrt(2) / 2) + g.add_edges(edges) + g.vs["pos"] = vertexpositions + + return g + + +class Hcp1nnGraph(GraphBase): + def __init__(self, **kwargs): + super().__init__(**kwargs) + + def get_graph(self): + # Define positions of nearest neighbors relative to central atom at (0, 0, 0) + + # Define the lattice parameters + a = 1 + c = np.sqrt(8 / 3) + + vertexpositions = np.array( + [ + # [0, 0, 0], + [1, 0, 0], + [-1, 0, 0], + [1 / 2, np.sqrt(3) / 2, 0], + [1 / 2, -np.sqrt(3) / 2, 0], + [-1 / 2, np.sqrt(3) / 2, 0], + [-1 / 2, -np.sqrt(3) / 2, 0], + [0, np.sqrt(3) / 3, 1 / 2], + [0, np.sqrt(3) / 3, -1 / 2], + [1 / 2, -np.sqrt(3) / 6, 1 / 2], + [1 / 2, -np.sqrt(3) / 6, -1 / 2], + [-1 / 2, -np.sqrt(3) / 6, 1 / 2], + [-1 / 2, -np.sqrt(3) / 6, -1 / 2], + ] + ) + vertexpositions *= np.array([a, a, c]) + + # Create an empty igraph graph object + g = igraph.Graph(directed=False) + + # Add vertices to the graph + g.add_vertices(len(vertexpositions)) + edges, distances = self.get_edges(vertexpositions, 1, atol=0.1) + g.add_edges(edges) + + # Set the vertex positions + g.vs["pos"] = vertexpositions + + return g + + +class Fcc1nn2nn3nnGraph(GraphBase): + def __init__(self, **kwargs): + super().__init__(**kwargs) + + def get_graph(self): + # Central atom (Origin) + coords = np.zeros((1, 3)) + # 1NN atoms (sqrt(2)/2 away) + values = (0, 1 / 2, 1 / 2) + coords = self.generate_permutations(values, coords) + + # 2NN atoms (1.0 away) + values = (0, 0, 1) + coords = self.generate_permutations(values, coords) + + # 3NN atoms (sqrt(3/2) away) + values = (1, 1 / 2, 1 / 2) + coords = self.generate_permutations(values, coords) + + # remove central atom + vertexpositions = coords[1:] + + g = igraph.Graph() + g.add_vertices(len(vertexpositions)) + edges, distances = self.get_edges(vertexpositions, np.sqrt(2) / 2) + g.add_edges(edges) + g.vs["pos"] = vertexpositions + + return g + + +class Bcc1n2nnnGraph(GraphBase): + def __init__(self, **kwargs): + super().__init__(**kwargs) + + def get_graph(self): + vertex_1nn = np.array(list(itertools.product([-1, 1], repeat=3))) * 0.5 + vertex_2nn = np.array( + [[1, 0, 0], [0, 1, 0], [0, 0, 1], [-1, 0, 0], [0, -1, 0], [0, 0, -1]] + ) + + vertexpositions = np.concatenate((vertex_1nn, vertex_2nn)) + + g = igraph.Graph() + g.add_vertices(len(vertexpositions)) + edges_1nn, distances = self.get_edges(vertexpositions, 0.8660254) + edges_2nn, _ = self.get_edges(vertexpositions, 1) + edges = np.concatenate((edges_1nn, edges_2nn)) #!!! NOT SURE + + g.add_edges(edges) + g.vs["pos"] = vertexpositions + return g diff --git a/examples/doi-TBD/_additional_packages/Polya/polya/_src/polya.py b/examples/doi-TBD/_additional_packages/Polya/polya/_src/polya.py new file mode 100644 index 0000000..9b4aa4e --- /dev/null +++ b/examples/doi-TBD/_additional_packages/Polya/polya/_src/polya.py @@ -0,0 +1,108 @@ +import numpy as np +import sympy as sp +from sympy.combinatorics.perm_groups import PermutationGroup + +from .graphs import ( + Bcc1n2nnnGraph, + Bcc1nnGraph, + Fcc1nn2nn3nnGraph, + Fcc1nn2nnGraph, + Fcc1nnGraph, + Hcp1nnGraph, +) + +GRAPHS = { + "fcc": Fcc1nnGraph, + "bcc": Bcc1nnGraph, + "fcc_1nn2nn": Fcc1nn2nnGraph, + "hcp": Hcp1nnGraph, + "fcc_1nn2nn3nn": Fcc1nn2nn3nnGraph, + "bcc_1nn2nn": Bcc1n2nnnGraph, +} + + +class Polya: + """Class to get Polya's pattern inventory. + + ```python + from polya import Polya + pl = Polya(graph_name="fcc") + p_g, nms = pl.get_gt(ntypes=3) + print(p_g) + ``` + """ + + def __init__(self, graph_name): + """Class to get Polya's pattern inventory. + + ```python + from polya import Polya + pl = Polya(graph_name="fcc") + p_g, nms = pl.get_gt(ntypes=3) + print(p_g) + ``` + """ + self.graph = GRAPHS[graph_name]() + + def get_cycle_index(self, permgroup): + cycle_types = [p.cycle_structure for p in permgroup] + monomials = [ + np.prod( + [sp.symbols(f"s_{ctype}") ** cycle[ctype] for ctype in cycle.keys()] + ) + for cycle in cycle_types + ] + nnodes = np.sum([key * value for key, value in cycle_types[0].items()]) + group_size = len(permgroup) + 1 # add identity + cycle_index = np.sum(monomials) + sp.symbols("s_1") ** nnodes + return cycle_index / group_size # need divided size of group + + def get_gt(self, ntypes): + """Get cycle index polynomial and number of distinct graphs. + + Ins: + ntypes (int) = Number of atom types + + Returns: + p_g = cycle index polynomial + nms = number of distinct graphs while taking into account symmeteries + """ + + # Get graph object + self.g = self.graph.get_graph() + + nnodes = self.g.vcount() + + # Compute the automorphism group + permgroup = np.array(self.g.get_automorphisms_vf2()) + + # Get the permutation representation of the group + permgroup = PermutationGroup(permgroup) + cycle_index = self.get_cycle_index(permgroup) + + # define symbolic variables for d1 to d10 + types = sp.symbols(f"t1:{ntypes+1}") + + # replace s_i with the sum of the powers of the d variables and factorize + p_g = sp.factor( + cycle_index.subs( + [ + ( + sp.symbols(f"s_{i}"), + np.sum([types[j] ** i for j in range(ntypes)]), + ) + for i in range(1, nnodes + 1) + ] + ) + ) + + # replace s_i with the sum of the powers of 1 for each variable and factorize + nms = sp.factor( + cycle_index.subs( + [ + (sp.symbols(f"s_{i}"), sum([1**i for _ in range(ntypes)])) + for i in range(1, nnodes + 1) + ] + ) + ) + return p_g, nms diff --git a/examples/doi-TBD/_additional_packages/Polya/setup.py b/examples/doi-TBD/_additional_packages/Polya/setup.py new file mode 100644 index 0000000..2dc974e --- /dev/null +++ b/examples/doi-TBD/_additional_packages/Polya/setup.py @@ -0,0 +1,23 @@ +import os + +from setuptools import find_packages, setup + +# Get description from README +root = os.path.abspath(os.path.dirname(__file__)) +with open(os.path.join(root, "README.md"), "r", encoding="utf-8") as f: + long_description = f.read() +setup( + name="polya", + version="0.0.1", + packages=find_packages(exclude=["tests.*", "tests", "figs", "examples", "media"]), + author="Killian Sheriff", + author_email="ksheriff@mit.edu", + description="A python implementation of Polya's enumeration theory.", + long_description=long_description, + long_description_content_type="text/markdown", + license="MIT", + keywords=[], + url="https://github.com/killiansheriff/polya", + install_requires=["numpy", "sympy", "igraph"], + include_package_data=True, +) diff --git a/examples/doi-TBD/_additional_packages/Simplex/.github/workflows/black.yml b/examples/doi-TBD/_additional_packages/Simplex/.github/workflows/black.yml new file mode 100644 index 0000000..4aff0e9 --- /dev/null +++ b/examples/doi-TBD/_additional_packages/Simplex/.github/workflows/black.yml @@ -0,0 +1,12 @@ +name: black-action +on: [push, pull_request] +jobs: + linter_name: + name: runner / black formatter + runs-on: ubuntu-latest + steps: + - uses: actions/checkout@v2 + - uses: rickstaa/action-black@v1 + with: + black_args: ". --check" + fail_on_error: "False" \ No newline at end of file diff --git a/examples/doi-TBD/_additional_packages/Simplex/.gitignore b/examples/doi-TBD/_additional_packages/Simplex/.gitignore new file mode 100644 index 0000000..c0ff449 --- /dev/null +++ b/examples/doi-TBD/_additional_packages/Simplex/.gitignore @@ -0,0 +1,163 @@ +/.vscode + + +#Byte-compiled / optimized / DLL files +__pycache__/ +*.py[cod] +*$py.class + +# C extensions +*.so + +# Distribution / packaging +.Python +build/ +develop-eggs/ +dist/ +downloads/ +eggs/ +.eggs/ +lib/ +lib64/ +parts/ +sdist/ +var/ +wheels/ +share/python-wheels/ +*.egg-info/ +.installed.cfg +*.egg +MANIFEST + +# PyInstaller +# Usually these files are written by a python script from a template +# before PyInstaller builds the exe, so as to inject date/other infos into it. +*.manifest +*.spec + +# Installer logs +pip-log.txt +pip-delete-this-directory.txt + +# Unit test / coverage reports +htmlcov/ +.tox/ +.nox/ +.coverage +.coverage.* +.cache +nosetests.xml +coverage.xml +*.cover +*.py,cover +.hypothesis/ +.pytest_cache/ +cover/ + +# Translations +*.mo +*.pot + +# Django stuff: +*.log +local_settings.py +db.sqlite3 +db.sqlite3-journal + +# Flask stuff: +instance/ +.webassets-cache + +# Scrapy stuff: +.scrapy + +# Sphinx documentation +docs/_build/ + +# PyBuilder +.pybuilder/ +target/ + +# Jupyter Notebook +.ipynb_checkpoints + +# IPython +profile_default/ +ipython_config.py + +# pyenv +# For a library or package, you might want to ignore these files since the code is +# intended to run in multiple environments; otherwise, check them in: +# .python-version + +# pipenv +# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control. +# However, in case of collaboration, if having platform-specific dependencies or dependencies +# having no cross-platform support, pipenv may install dependencies that don't work, or not +# install all needed dependencies. +#Pipfile.lock + +# poetry +# Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control. +# This is especially recommended for binary packages to ensure reproducibility, and is more +# commonly ignored for libraries. +# https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control +#poetry.lock + +# pdm +# Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control. +#pdm.lock +# pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it +# in version control. +# https://pdm.fming.dev/#use-with-ide +.pdm.toml + +# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm +__pypackages__/ + +# Celery stuff +celerybeat-schedule +celerybeat.pid + +# SageMath parsed files +*.sage.py + +# Environments +.env +.venv +env/ +venv/ +ENV/ +env.bak/ +venv.bak/ + +# Spyder project settings +.spyderproject +.spyproject + +# Rope project settings +.ropeproject + +# mkdocs documentation +/site + +# mypy +.mypy_cache/ +.dmypy.json +dmypy.json + +# Pyre type checker +.pyre/ + +# pytype static type analyzer +.pytype/ + +# Cython debug symbols +cython_debug/ + +# PyCharm +# JetBrains specific template is maintained in a separate JetBrains.gitignore that can +# be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore +# and can be added to the global gitignore or merged into this file. For a more nuclear +# option (not recommended) you can uncomment the following to ignore the entire idea folder. +#.idea/ \ No newline at end of file diff --git a/examples/doi-TBD/_additional_packages/Simplex/README.md b/examples/doi-TBD/_additional_packages/Simplex/README.md new file mode 100644 index 0000000..8128ca8 --- /dev/null +++ b/examples/doi-TBD/_additional_packages/Simplex/README.md @@ -0,0 +1,36 @@ +# Simplex +A python package that implements the geometric object of a [simplex](https://en.wikipedia.org/wiki/Simplex). + +## Usage +Here is an example on how to get the mapping from barycentric coordinates (``concentrations``) to cartesian coordinates (``coords``) for a ``n_dim = 2`` for motifs with 12 atoms in their first coordination shell. ``generators`` return the unique set of concentration of the sorted possible concentrations, ``count`` is their multiplicities. This example can be found in the ``examples/`` folder. + +```python +import simplex as sp + +triangle = sp.Simplex(n_dim=2, edge_length=1, nneigh=12) +concentrations, coords = triangle.get_mapping() +generators, counts = triangle.get_generators(concentrations) +``` + +## Installation +For a standalone Python package or Conda environment, please use: +```bash +pip install --user simplex +``` + +If you want to install the lastest git commit, please replace ``simplex`` by ``git+https://github.com/killiansheriff/simplex.git``. + +## Contact +If any questions, feel free to contact me (ksheriff at mit dot edu). + +## References & Citing +If you use this repository in your work, please cite: + +``` +@article{TOBEUPDATED, + title={TOBEUPDATED}, + author={Sheriff, Killian and Cao, Yifan and Freitas, Rodrigo}, + journal={arXiv preprint TOBEUPDATED}, + year={2024} +} +``` \ No newline at end of file diff --git a/examples/doi-TBD/_additional_packages/Simplex/examples/main.py b/examples/doi-TBD/_additional_packages/Simplex/examples/main.py new file mode 100644 index 0000000..d24181a --- /dev/null +++ b/examples/doi-TBD/_additional_packages/Simplex/examples/main.py @@ -0,0 +1,6 @@ +import simplex as sp + +triangle = sp.Simplex(n_dim=2, edge_length=1, nneigh=12) +concentrations, coords = triangle.get_mapping() +generators, counts = triangle.get_generators(concentrations) +breakpoint() diff --git a/examples/doi-TBD/_additional_packages/Simplex/setup.py b/examples/doi-TBD/_additional_packages/Simplex/setup.py new file mode 100644 index 0000000..984fe5e --- /dev/null +++ b/examples/doi-TBD/_additional_packages/Simplex/setup.py @@ -0,0 +1,26 @@ +import os + +from setuptools import find_packages, setup + +# Get description from README +root = os.path.abspath(os.path.dirname(__file__)) +with open(os.path.join(root, "README.md"), "r", encoding="utf-8") as f: + long_description = f.read() + +setup( + name="simplex", + version="0.0.1", + packages=find_packages(exclude=["tests.*", "tests", "figs", "examples", "media"]), + author="Killian Sheriff", + author_email="ksheriff@mit.edu", + description="A python package that implements the geometric object of a simplex.", + long_description=long_description, + long_description_content_type="text/markdown", + license="MIT", + keywords=[], + url="https://github.com/killiansheriff/simplex", + install_requires=[ + "numpy", + ], + include_package_data=True, +) diff --git a/examples/doi-TBD/_additional_packages/Simplex/simplex/__init__.py b/examples/doi-TBD/_additional_packages/Simplex/simplex/__init__.py new file mode 100644 index 0000000..3fa4fc9 --- /dev/null +++ b/examples/doi-TBD/_additional_packages/Simplex/simplex/__init__.py @@ -0,0 +1 @@ +from simplex._src.simplex import Simplex diff --git a/examples/doi-TBD/_additional_packages/Simplex/simplex/_src/__init__.py b/examples/doi-TBD/_additional_packages/Simplex/simplex/_src/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/examples/doi-TBD/_additional_packages/Simplex/simplex/_src/simplex.py b/examples/doi-TBD/_additional_packages/Simplex/simplex/_src/simplex.py new file mode 100644 index 0000000..74f8d9c --- /dev/null +++ b/examples/doi-TBD/_additional_packages/Simplex/simplex/_src/simplex.py @@ -0,0 +1,183 @@ +import itertools + +import numpy as np + + +class Simplex: + """Implement the geometric object of a simplex (https://en.wikipedia.org/wiki/Simplex) + + Raises: + ValueError: only implemented n-simplex for n >=2 and n<=4. + + Example of usage: + ```python + triangle = Simplex(n_dim=2, edge_length=1, nneigh=12) + concentrations, coords = triangle.get_mapping() + generators, counts = triangle.get_generators(concentrations) + ``` + """ + + def __init__(self, n_dim, edge_length=1, nneigh=12): + """_summary_ + + Args: + n_dim (int): dimension of the simplex to create. Usually nelement - 1. + edge_length (int, optional): edge length of the simplex. Defaults to 1. + nneigh (int, optional): number of neighbors in the chemical shell space (governs how many concentration class we have in the chemical shell WC space). Defaults to 12. + + Example of usage: + ```python + triangle = Simplex(n_dim=2, edge_length=1, nneigh=12) + concentrations, coords = triangle.get_mapping() + generators, counts = triangle.get_generators(concentrations) + ``` + """ + self.n_dim = n_dim + self.edge_length = edge_length + self.nneigh = nneigh + self.vertex_functions = { + 1: self.get_line_segment_vertices, + 2: self.get_equilateral_triangle_vertices, + 3: self.get_regular_tetrahedron_vertices, + 4: self.get_simplex_4_vertices, + } + + def get_line_segment_vertices(self): + """Return vertices of a line segement. + + Returns: + np.array: vertices. + """ + vertices = np.array( + [ + [0], + [self.edge_length], + ] + ) + return vertices + + def get_regular_tetrahedron_vertices(self): + """Return vertices of a regular tetrahedron (https://mathworld.wolfram.com/RegularTetrahedron.html). + + Returns: + np.array: vertices. + """ + # + vertices = np.array( + [ + [1 / 3 * np.sqrt(3) * self.edge_length, 0, 0], + [-1 / 6 * np.sqrt(3) * self.edge_length, +1 / 2 * self.edge_length, 0], + [-1 / 6 * np.sqrt(3) * self.edge_length, -1 / 2 * self.edge_length, 0], + [0, 0, 1 / 3 * np.sqrt(6) * self.edge_length], + ] + ) + return vertices + + def get_equilateral_triangle_vertices(self): + """Return vertices of a triangle. + + Returns: + np.array: vertices. + """ + sqrt_3 = np.sqrt(3) + vertices = np.array( + [ + [0, 0], + [self.edge_length, 0], + [self.edge_length / 2, sqrt_3 / 2 * self.edge_length], + ] + ) + + return vertices + + def get_simplex_4_vertices(self): + """Return vertices of a 4-simplex (https://polytope.miraheze.org/wiki/Pentachoron). + + Returns: + np.array: vertices. + """ + + vertices = np.array( + [ + [0, 0, 0, np.sqrt(10) / 5], + [0, 0, np.sqrt(6) / 4, -np.sqrt(10) / 20], + [0, np.sqrt(3) / 3, -np.sqrt(6) / 12, -np.sqrt(10) / 20], + [1 / 2, -np.sqrt(3) / 6, -np.sqrt(6) / 12, -np.sqrt(10) / 20], + [-1 / 2, -np.sqrt(3) / 6, -np.sqrt(6) / 12, -np.sqrt(10) / 20], + ] + ) + return vertices + + def get_vertex_coordinates(self): + """Get vertex coordinates + + Raises: + ValueError: The {self.n_dim}-simplex has not been implemented. + + Returns: + np.array: cooridnates of vertices. + """ + if self.n_dim not in self.vertex_functions: + raise ValueError(f"The {self.n_dim}-simplex has not been implemented.") + return self.vertex_functions[self.n_dim]() + + def get_barycentric_coords(self): + """Get barycentric coordinates given the constraint that they must sum to nneigh. + + Returns: + np.array: barycentric coordinates. + """ + constraint = self.nneigh + coords = np.array( + list(itertools.product(range(self.nneigh + 1), repeat=self.n_dim + 1)) + ) + if constraint is not None: + coords = coords[np.sum(coords, axis=1) == constraint] + return coords + + def barycenter_coods_2_cartesian(self, vertices, coords): + """Convert barycentric coordinates to cartesian coordinates + + Args: + vertices (np.array): cartesian coordinates of vertices + coords (np.array): barycentric coordinates we want to express in cartesian + + Returns: + np.array: cartesiam representation of the barycentric coords. + """ + return np.dot(coords, vertices) + + def get_mapping(self): + """Get mapping from barycenter coordinates to cartesian for all possible concentrations. + + Returns: + tuple: (bary_coords,cartesian_coords) + """ + vertices = self.get_vertex_coordinates() + bary_coords = self.get_barycentric_coords() + cartesian_coords = self.barycenter_coods_2_cartesian(vertices, bary_coords) + + assert np.isclose( + np.linalg.norm(cartesian_coords[0] - cartesian_coords[-1]), + self.nneigh, + atol=0.1, + ) + + return bary_coords, cartesian_coords + + def get_generators(self, bary_coords): + """Return the barycenter coordinates that can generated the whole space by just swaping elements. + + Args: + bary_coords (np.array): barycenter coordinates of the whole space + + Returns: + tuple: (barycenter coordinates of the generators, number of element they generate) + """ + generators, counts = np.unique(np.sort(bary_coords), axis=0, return_counts=True) + return generators, counts + + def barycentric_2_cartesian(self, bary_coords): + vertices = self.get_vertex_coordinates() + cartesian_coords = self.barycenter_coods_2_cartesian(vertices, bary_coords) + return cartesian_coords diff --git a/examples/doi-TBD/bcc_quaternary_system.ipynb b/examples/doi-TBD/bcc_quaternary_system.ipynb index 023d9e1..e994040 100644 --- a/examples/doi-TBD/bcc_quaternary_system.ipynb +++ b/examples/doi-TBD/bcc_quaternary_system.ipynb @@ -9,16 +9,127 @@ "**To reviewers:** As we are keeping these codes private untill acceptance of the work, the PyPi installation of the package will not work. Please follow the instructions below to install all packages and dependencies.\n", "\n", "This is a quick tutorial on:\n", - "1. Analytically obtaining a pattern inventory for a ternary system (CrCoNi) in the fcc crystal structure. \n", + "1. Analytically obtaining a pattern inventory for a quintenary system in the bcc crystal structure. \n", "1. Obtaining the pattern inventory with ML and creating a physically constrained embedding space from which we can compute dissimilarities between motifs. \n", - "1. Computing dissimilarity between motifs in atomistic data." + "1. Computing dissimilarity between motifs in atomistic data of a bcc TaTiNbMo system." ] }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 2, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[33mWARNING: Skipping /opt/homebrew/lib/python3.11/site-packages/filelock-3.13.1.dist-info due to invalid metadata entry 'name'\u001b[0m\u001b[33m\n", + "\u001b[0m\u001b[33mWARNING: Skipping /opt/homebrew/lib/python3.11/site-packages/filelock-3.13.1.dist-info due to invalid metadata entry 'name'\u001b[0m\u001b[33m\n", + "\u001b[0mRequirement already satisfied: gdown in /opt/homebrew/lib/python3.11/site-packages (5.1.0)\n", + "Requirement already satisfied: beautifulsoup4 in /Users/killiansheriff/Library/Python/3.11/lib/python/site-packages (from gdown) (4.12.2)\n", + "Requirement already satisfied: filelock in /opt/homebrew/lib/python3.11/site-packages (from gdown) (3.12.2)\n", + "Requirement already 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"\u001b[0m\u001b[33mWARNING: Skipping /opt/homebrew/lib/python3.11/site-packages/filelock-3.13.1.dist-info due to invalid metadata entry 'name'\u001b[0m\u001b[33m\n", + "\u001b[0m\u001b[33mWARNING: Skipping /opt/homebrew/lib/python3.11/site-packages/filelock-3.13.1.dist-info due to invalid metadata entry 'name'\u001b[0m\u001b[33m\n", + "\u001b[0m\u001b[33mWARNING: Skipping /opt/homebrew/lib/python3.11/site-packages/filelock-3.13.1.dist-info due to invalid metadata entry 'name'\u001b[0m\u001b[33m\n", + "\u001b[0m" + ] + } + ], "source": [ "%%capture \n", "! pip install gdown\n", @@ -45,9 +156,82 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 5, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "['data/inputs_doi-TBD/atom_types_generators/bcc_nelement5_idx0.pt',\n", + " 'data/inputs_doi-TBD/atom_types_generators/bcc_nelement5_idx1.pt',\n", + " 'data/inputs_doi-TBD/atom_types_generators/bcc_nelement5_idx2.pt',\n", + " 'data/inputs_doi-TBD/atom_types_generators/bcc_nelement5_idx3.pt',\n", + " 'data/inputs_doi-TBD/atom_types_generators/bcc_nelement5_idx4.pt',\n", + " 'data/inputs_doi-TBD/atom_types_generators/bcc_nelement5_idx5.pt',\n", + " 'data/inputs_doi-TBD/atom_types_generators/bcc_nelement5_idx6.pt',\n", + " 'data/inputs_doi-TBD/atom_types_generators/bcc_nelement5_idx7.pt',\n", + " 'data/inputs_doi-TBD/atom_types_generators/bcc_nelement5_idx8.pt',\n", + " 'data/inputs_doi-TBD/atom_types_generators/bcc_nelement5_idx9.pt',\n", + " 'data/inputs_doi-TBD/atom_types_generators/bcc_nelement5_idx10.pt',\n", + " 'data/inputs_doi-TBD/atom_types_generators/bcc_nelement5_idx11.pt',\n", + " 'data/inputs_doi-TBD/atom_types_generators/bcc_nelement5_idx12.pt',\n", + " 'data/inputs_doi-TBD/atom_types_generators/bcc_nelement5_idx13.pt',\n", + " 'data/inputs_doi-TBD/atom_types_generators/bcc_nelement5_idx14.pt',\n", + " 'data/inputs_doi-TBD/atom_types_generators/bcc_nelement5_idx15.pt',\n", + " 'data/inputs_doi-TBD/atom_types_generators/bcc_nelement5_idx16.pt',\n", + " 'data/inputs_doi-TBD/atom_types_generators/bcc_nelement5_idx17.pt',\n", + " 'data/inputs_doi-TBD/atom_types_generators/bcc_nelement5_idx18.pt',\n", + " 'data/inputs_doi-TBD/atom_types_generators/bcc_nelement5_idx19.pt',\n", + " 'data/inputs_doi-TBD/atom_types_generators/bcc_nelement5_idx20.pt',\n", + " 'data/inputs_doi-TBD/atom_types_generators/bcc_nelement5_idx21.pt',\n", + " 'data/inputs_doi-TBD/atom_types_generators/bcc_nelement5_idx22.pt',\n", + " 'data/inputs_doi-TBD/atom_types_generators/bcc_nelement5_idx23.pt',\n", + " 'data/inputs_doi-TBD/atom_types_generators/bcc_nelement5_idx24.pt',\n", + " 'data/inputs_doi-TBD/atom_types_generators/bcc_nelement5_idx25.pt',\n", + " 'data/inputs_doi-TBD/atom_types_generators/bcc_nelement5_idx26.pt',\n", + " 'data/inputs_doi-TBD/atom_types_generators/bcc_nelement5_idx27.pt',\n", + " 'data/inputs_doi-TBD/atom_types_generators/bcc_nelement5_idx28.pt',\n", + " 'data/inputs_doi-TBD/atom_types_generators/bcc_nelement5_idx29.pt',\n", + " 'data/inputs_doi-TBD/atom_types_generators/bcc_nelement5_idx30.pt',\n", + " 'data/inputs_doi-TBD/atom_types_generators/bcc_nelement5_idx31.pt',\n", + " 'data/inputs_doi-TBD/atom_types_generators/bcc_nelement5_idx32.pt',\n", + " 'data/inputs_doi-TBD/atom_types_generators/bcc_nelement5_idx33.pt',\n", + " 'data/inputs_doi-TBD/atom_types_generators/bcc_nelement5_idx34.pt',\n", + " 'data/inputs_doi-TBD/atom_types_generators/bcc_nelement5_idx35.pt',\n", + " 'data/inputs_doi-TBD/atom_types_generators/bcc_nelement5_idx36.pt',\n", + " 'data/inputs_doi-TBD/atom_types_generators/bcc_nelement5_idx37.pt',\n", + " 'data/inputs_doi-TBD/atom_types_generators/bcc_nelement5_idx38.pt',\n", + " 'data/inputs_doi-TBD/atom_types_generators/bcc_nelement5_idx39.pt',\n", + " 'data/inputs_doi-TBD/atom_types_generators/bcc_nelement5_idx40.pt',\n", + " 'data/inputs_doi-TBD/atom_types_generators/bcc_nelement5_idx41.pt',\n", + " 'data/inputs_doi-TBD/atom_types_generators/bcc_nelement5_idx42.pt',\n", + " 'data/inputs_doi-TBD/atom_types_generators/bcc_nelement5_idx43.pt',\n", + " 'data/inputs_doi-TBD/atom_types_generators/bcc_nelement5_idx44.pt',\n", + " 'data/inputs_doi-TBD/atom_types_generators/bcc_nelement5_idx45.pt',\n", + " 'data/inputs_doi-TBD/atom_types_generators/bcc_nelement5_idx46.pt',\n", + " 'data/inputs_doi-TBD/atom_types_generators/bcc_nelement5_idx47.pt',\n", + " 'data/inputs_doi-TBD/atom_types_generators/bcc_nelement5_idx48.pt',\n", + " 'data/inputs_doi-TBD/atom_types_generators/bcc_nelement5_idx49.pt',\n", + " 'data/inputs_doi-TBD/bcc_1nn.pt',\n", + " 'data/inputs_doi-TBD/df_bcc.pkl',\n", + " 'data/inputs_doi-TBD/dumps/.DS_Store',\n", + " 'data/inputs_doi-TBD/dumps/ordered_relaxation_0_300K.dump',\n", + " 'data/inputs_doi-TBD/dumps/ordered_relaxation_1_300K.dump',\n", + " 'data/inputs_doi-TBD/dumps/ordered_relaxation_2_300K.dump',\n", + " 'data/inputs_doi-TBD/dumps/ordered_relaxation_3_300K.dump',\n", + " 'data/inputs_doi-TBD/dumps/ordered_relaxation_4_300K.dump',\n", + " 'data/inputs_doi-TBD/dumps/ordered_relaxation_5_300K.dump',\n", + " 'data/inputs_doi-TBD/graph_plot_templates/bcc_1nn.pt',\n", + " 'data/inputs_doi-TBD/graphs_for_plotting/.DS_Store',\n", + " 'data/inputs_doi-TBD/graphs_for_plotting/bcc_1nn.pt',\n", + " 'data/inputs_doi-TBD/net.pt']" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "%%capture\n", "from polya import Polya\n", @@ -66,30 +250,30 @@ "import gdown\n", "\n", "os.makedirs(\"data/\", exist_ok=True)\n", - "gdown.download_folder(INPUT_GDOWN_LINK, output=\"data/\", quiet=True)" + "gdown.download_folder(INPUT_GDOWN_LINK, output=\"data/\", quiet=True,remaining_ok=True)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "## 1. Ternary system pattern inventory" + "## 1. Quintenary system pattern inventory" ] }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "text/html": [ - "
The pattern inventory for the fcc first coordination polyhedron of the CrCoNi system is given by: \n",
+       "
The pattern inventory for the bcc first coordination polyhedron of a quintenart system is given by: \n",
        "\n",
        "
\n"
       ],
       "text/plain": [
-       "The pattern inventory for the fcc first coordination polyhedron of the CrCoNi system is given by: \n",
+       "The pattern inventory for the bcc first coordination polyhedron of a quintenart system is given by: \n",
        "\n"
       ]
      },
@@ -98,67 +282,268 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/latex": [
-       "$\\displaystyle Co^{12} + Co^{11} Cr + Co^{11} Ni + 4 Co^{10} Cr^{2} + 4 Co^{10} Cr Ni + 4 Co^{10} Ni^{2} + 9 Co^{9} Cr^{3} + 18 Co^{9} Cr^{2} Ni + 18 Co^{9} Cr Ni^{2} + 9 Co^{9} Ni^{3} + 18 Co^{8} Cr^{4} + 47 Co^{8} Cr^{3} Ni + 76 Co^{8} Cr^{2} Ni^{2} + 47 Co^{8} Cr Ni^{3} + 18 Co^{8} Ni^{4} + 24 Co^{7} Cr^{5} + 92 Co^{7} Cr^{4} Ni + 182 Co^{7} Cr^{3} Ni^{2} + 182 Co^{7} Cr^{2} Ni^{3} + 92 Co^{7} Cr Ni^{4} + 24 Co^{7} Ni^{5} + 30 Co^{6} Cr^{6} + 126 Co^{6} Cr^{5} Ni + 318 Co^{6} Cr^{4} Ni^{2} + 408 Co^{6} Cr^{3} Ni^{3} + 318 Co^{6} Cr^{2} Ni^{4} + 126 Co^{6} Cr Ni^{5} + 30 Co^{6} Ni^{6} + 24 Co^{5} Cr^{7} + 126 Co^{5} Cr^{6} Ni + 372 Co^{5} Cr^{5} Ni^{2} + 606 Co^{5} Cr^{4} Ni^{3} + 606 Co^{5} Cr^{3} Ni^{4} + 372 Co^{5} Cr^{2} Ni^{5} + 126 Co^{5} Cr Ni^{6} + 24 Co^{5} Ni^{7} + 18 Co^{4} Cr^{8} + 92 Co^{4} Cr^{7} Ni + 318 Co^{4} Cr^{6} Ni^{2} + 606 Co^{4} Cr^{5} Ni^{3} + 768 Co^{4} Cr^{4} Ni^{4} + 606 Co^{4} Cr^{3} Ni^{5} + 318 Co^{4} Cr^{2} Ni^{6} + 92 Co^{4} Cr Ni^{7} + 18 Co^{4} Ni^{8} + 9 Co^{3} Cr^{9} + 47 Co^{3} Cr^{8} Ni + 182 Co^{3} Cr^{7} Ni^{2} + 408 Co^{3} Cr^{6} Ni^{3} + 606 Co^{3} Cr^{5} Ni^{4} + 606 Co^{3} Cr^{4} Ni^{5} + 408 Co^{3} Cr^{3} Ni^{6} + 182 Co^{3} Cr^{2} Ni^{7} + 47 Co^{3} Cr Ni^{8} + 9 Co^{3} Ni^{9} + 4 Co^{2} Cr^{10} + 18 Co^{2} Cr^{9} Ni + 76 Co^{2} Cr^{8} Ni^{2} + 182 Co^{2} Cr^{7} Ni^{3} + 318 Co^{2} Cr^{6} Ni^{4} + 372 Co^{2} Cr^{5} Ni^{5} + 318 Co^{2} Cr^{4} Ni^{6} + 182 Co^{2} Cr^{3} Ni^{7} + 76 Co^{2} Cr^{2} Ni^{8} + 18 Co^{2} Cr Ni^{9} + 4 Co^{2} Ni^{10} + Co Cr^{11} + 4 Co Cr^{10} Ni + 18 Co Cr^{9} Ni^{2} + 47 Co Cr^{8} Ni^{3} + 92 Co Cr^{7} Ni^{4} + 126 Co Cr^{6} Ni^{5} + 126 Co Cr^{5} Ni^{6} + 92 Co Cr^{4} Ni^{7} + 47 Co Cr^{3} Ni^{8} + 18 Co Cr^{2} Ni^{9} + 4 Co Cr Ni^{10} + Co Ni^{11} + Cr^{12} + Cr^{11} Ni + 4 Cr^{10} Ni^{2} + 9 Cr^{9} Ni^{3} + 18 Cr^{8} Ni^{4} + 24 Cr^{7} Ni^{5} + 30 Cr^{6} Ni^{6} + 24 Cr^{5} Ni^{7} + 18 Cr^{4} Ni^{8} + 9 Cr^{3} Ni^{9} + 4 Cr^{2} Ni^{10} + Cr Ni^{11} + Ni^{12}$"
+       "$\\displaystyle A^{8} + A^{7} B + A^{7} C + A^{7} D + A^{7} E + 3 A^{6} B^{2} + 3 A^{6} B C + 3 A^{6} B D + 3 A^{6} B E + 3 A^{6} C^{2} + 3 A^{6} C D + 3 A^{6} C E + 3 A^{6} D^{2} + 3 A^{6} D E + 3 A^{6} E^{2} + 3 A^{5} B^{3} + 6 A^{5} B^{2} C + 6 A^{5} B^{2} D + 6 A^{5} B^{2} E + 6 A^{5} B C^{2} + 10 A^{5} B C D + 10 A^{5} B C E + 6 A^{5} B D^{2} + 10 A^{5} B D E + 6 A^{5} B E^{2} + 3 A^{5} C^{3} + 6 A^{5} C^{2} D + 6 A^{5} C^{2} E + 6 A^{5} C D^{2} + 10 A^{5} C D E + 6 A^{5} C E^{2} + 3 A^{5} D^{3} + 6 A^{5} D^{2} E + 6 A^{5} D E^{2} + 3 A^{5} E^{3} + 6 A^{4} B^{4} + 10 A^{4} B^{3} C + 10 A^{4} B^{3} D + 10 A^{4} B^{3} E + 16 A^{4} B^{2} C^{2} + 22 A^{4} B^{2} C D + 22 A^{4} B^{2} C E + 16 A^{4} B^{2} D^{2} + 22 A^{4} B^{2} D E + 16 A^{4} B^{2} E^{2} + 10 A^{4} B C^{3} + 22 A^{4} B C^{2} D + 22 A^{4} B C^{2} E + 22 A^{4} B C D^{2} + 38 A^{4} B C D E + 22 A^{4} B C E^{2} + 10 A^{4} B D^{3} + 22 A^{4} B D^{2} E + 22 A^{4} B D E^{2} + 10 A^{4} B E^{3} + 6 A^{4} C^{4} + 10 A^{4} C^{3} D + 10 A^{4} C^{3} E + 16 A^{4} C^{2} D^{2} + 22 A^{4} C^{2} D E + 16 A^{4} C^{2} E^{2} + 10 A^{4} C D^{3} + 22 A^{4} C D^{2} E + 22 A^{4} C D E^{2} + 10 A^{4} C E^{3} + 6 A^{4} D^{4} + 10 A^{4} D^{3} E + 16 A^{4} D^{2} E^{2} + 10 A^{4} D E^{3} + 6 A^{4} E^{4} + 3 A^{3} B^{5} + 10 A^{3} B^{4} C + 10 A^{3} B^{4} D + 10 A^{3} B^{4} E + 17 A^{3} B^{3} C^{2} + 30 A^{3} B^{3} C D + 30 A^{3} B^{3} C E + 17 A^{3} B^{3} D^{2} + 30 A^{3} B^{3} D E + 17 A^{3} B^{3} E^{2} + 17 A^{3} B^{2} C^{3} + 42 A^{3} B^{2} C^{2} D + 42 A^{3} B^{2} C^{2} E + 42 A^{3} B^{2} C D^{2} + 76 A^{3} B^{2} C D E + 42 A^{3} B^{2} C E^{2} + 17 A^{3} B^{2} D^{3} + 42 A^{3} B^{2} D^{2} E + 42 A^{3} B^{2} D E^{2} + 17 A^{3} B^{2} E^{3} + 10 A^{3} B C^{4} + 30 A^{3} B C^{3} D + 30 A^{3} B C^{3} E + 42 A^{3} B C^{2} D^{2} + 76 A^{3} B C^{2} D E + 42 A^{3} B C^{2} E^{2} + 30 A^{3} B C D^{3} + 76 A^{3} B C D^{2} E + 76 A^{3} B C D E^{2} + 30 A^{3} B C E^{3} + 10 A^{3} B D^{4} + 30 A^{3} B D^{3} E + 42 A^{3} B D^{2} E^{2} + 30 A^{3} B D E^{3} + 10 A^{3} B E^{4} + 3 A^{3} C^{5} + 10 A^{3} C^{4} D + 10 A^{3} C^{4} E + 17 A^{3} C^{3} D^{2} + 30 A^{3} C^{3} D E + 17 A^{3} C^{3} E^{2} + 17 A^{3} C^{2} D^{3} + 42 A^{3} C^{2} D^{2} E + 42 A^{3} C^{2} D E^{2} + 17 A^{3} C^{2} E^{3} + 10 A^{3} C D^{4} + 30 A^{3} C D^{3} E + 42 A^{3} C D^{2} E^{2} + 30 A^{3} C D E^{3} + 10 A^{3} C E^{4} + 3 A^{3} D^{5} + 10 A^{3} D^{4} E + 17 A^{3} D^{3} E^{2} + 17 A^{3} D^{2} E^{3} + 10 A^{3} D E^{4} + 3 A^{3} E^{5} + 3 A^{2} B^{6} + 6 A^{2} B^{5} C + 6 A^{2} B^{5} D + 6 A^{2} B^{5} E + 16 A^{2} B^{4} C^{2} + 22 A^{2} B^{4} C D + 22 A^{2} B^{4} C E + 16 A^{2} B^{4} D^{2} + 22 A^{2} B^{4} D E + 16 A^{2} B^{4} E^{2} + 17 A^{2} B^{3} C^{3} + 42 A^{2} B^{3} C^{2} D + 42 A^{2} B^{3} C^{2} E + 42 A^{2} B^{3} C D^{2} + 76 A^{2} B^{3} C D E + 42 A^{2} B^{3} C E^{2} + 17 A^{2} B^{3} D^{3} + 42 A^{2} B^{3} D^{2} E + 42 A^{2} B^{3} D E^{2} + 17 A^{2} B^{3} E^{3} + 16 A^{2} B^{2} C^{4} + 42 A^{2} B^{2} C^{3} D + 42 A^{2} B^{2} C^{3} E + 68 A^{2} B^{2} C^{2} D^{2} + 114 A^{2} B^{2} C^{2} D E + 68 A^{2} B^{2} C^{2} E^{2} + 42 A^{2} B^{2} C D^{3} + 114 A^{2} B^{2} C D^{2} E + 114 A^{2} B^{2} C D E^{2} + 42 A^{2} B^{2} C E^{3} + 16 A^{2} B^{2} D^{4} + 42 A^{2} B^{2} D^{3} E + 68 A^{2} B^{2} D^{2} E^{2} + 42 A^{2} B^{2} D E^{3} + 16 A^{2} B^{2} E^{4} + 6 A^{2} B C^{5} + 22 A^{2} B C^{4} D + 22 A^{2} B C^{4} E + 42 A^{2} B C^{3} D^{2} + 76 A^{2} B C^{3} D E + 42 A^{2} B C^{3} E^{2} + 42 A^{2} B C^{2} D^{3} + 114 A^{2} B C^{2} D^{2} E + 114 A^{2} B C^{2} D E^{2} + 42 A^{2} B C^{2} E^{3} + 22 A^{2} B C D^{4} + 76 A^{2} B C D^{3} E + 114 A^{2} B C D^{2} E^{2} + 76 A^{2} B C D E^{3} + 22 A^{2} B C E^{4} + 6 A^{2} B D^{5} + 22 A^{2} B D^{4} E + 42 A^{2} B D^{3} E^{2} + 42 A^{2} B D^{2} E^{3} + 22 A^{2} B D E^{4} + 6 A^{2} B E^{5} + 3 A^{2} C^{6} + 6 A^{2} C^{5} D + 6 A^{2} C^{5} E + 16 A^{2} C^{4} D^{2} + 22 A^{2} C^{4} D E + 16 A^{2} C^{4} E^{2} + 17 A^{2} C^{3} D^{3} + 42 A^{2} C^{3} D^{2} E + 42 A^{2} C^{3} D E^{2} + 17 A^{2} C^{3} E^{3} + 16 A^{2} C^{2} D^{4} + 42 A^{2} C^{2} D^{3} E + 68 A^{2} C^{2} D^{2} E^{2} + 42 A^{2} C^{2} D E^{3} + 16 A^{2} C^{2} E^{4} + 6 A^{2} C D^{5} + 22 A^{2} C D^{4} E + 42 A^{2} C D^{3} E^{2} + 42 A^{2} C D^{2} E^{3} + 22 A^{2} C D E^{4} + 6 A^{2} C E^{5} + 3 A^{2} D^{6} + 6 A^{2} D^{5} E + 16 A^{2} D^{4} E^{2} + 17 A^{2} D^{3} E^{3} + 16 A^{2} D^{2} E^{4} + 6 A^{2} D E^{5} + 3 A^{2} E^{6} + A B^{7} + 3 A B^{6} C + 3 A B^{6} D + 3 A B^{6} E + 6 A B^{5} C^{2} + 10 A B^{5} C D + 10 A B^{5} C E + 6 A B^{5} D^{2} + 10 A B^{5} D E + 6 A B^{5} E^{2} + 10 A B^{4} C^{3} + 22 A B^{4} C^{2} D + 22 A B^{4} C^{2} E + 22 A B^{4} C D^{2} + 38 A B^{4} C D E + 22 A B^{4} C E^{2} + 10 A B^{4} D^{3} + 22 A B^{4} D^{2} E + 22 A B^{4} D E^{2} + 10 A B^{4} E^{3} + 10 A B^{3} C^{4} + 30 A B^{3} C^{3} D + 30 A B^{3} C^{3} E + 42 A B^{3} C^{2} D^{2} + 76 A B^{3} C^{2} D E + 42 A B^{3} C^{2} E^{2} + 30 A B^{3} C D^{3} + 76 A B^{3} C D^{2} E + 76 A B^{3} C D E^{2} + 30 A B^{3} C E^{3} + 10 A B^{3} D^{4} + 30 A B^{3} D^{3} E + 42 A B^{3} D^{2} E^{2} + 30 A B^{3} D E^{3} + 10 A B^{3} E^{4} + 6 A B^{2} C^{5} + 22 A B^{2} C^{4} D + 22 A B^{2} C^{4} E + 42 A B^{2} C^{3} D^{2} + 76 A B^{2} C^{3} D E + 42 A B^{2} C^{3} E^{2} + 42 A B^{2} C^{2} D^{3} + 114 A B^{2} C^{2} D^{2} E + 114 A B^{2} C^{2} D E^{2} + 42 A B^{2} C^{2} E^{3} + 22 A B^{2} C D^{4} + 76 A B^{2} C D^{3} E + 114 A B^{2} C D^{2} E^{2} + 76 A B^{2} C D E^{3} + 22 A B^{2} C E^{4} + 6 A B^{2} D^{5} + 22 A B^{2} D^{4} E + 42 A B^{2} D^{3} E^{2} + 42 A B^{2} D^{2} E^{3} + 22 A B^{2} D E^{4} + 6 A B^{2} E^{5} + 3 A B C^{6} + 10 A B C^{5} D + 10 A B C^{5} E + 22 A B C^{4} D^{2} + 38 A B C^{4} D E + 22 A B C^{4} E^{2} + 30 A B C^{3} D^{3} + 76 A B C^{3} D^{2} E + 76 A B C^{3} D E^{2} + 30 A B C^{3} E^{3} + 22 A B C^{2} D^{4} + 76 A B C^{2} D^{3} E + 114 A B C^{2} D^{2} E^{2} + 76 A B C^{2} D E^{3} + 22 A B C^{2} E^{4} + 10 A B C D^{5} + 38 A B C D^{4} E + 76 A B C D^{3} E^{2} + 76 A B C D^{2} E^{3} + 38 A B C D E^{4} + 10 A B C E^{5} + 3 A B D^{6} + 10 A B D^{5} E + 22 A B D^{4} E^{2} + 30 A B D^{3} E^{3} + 22 A B D^{2} E^{4} + 10 A B D E^{5} + 3 A B E^{6} + A C^{7} + 3 A C^{6} D + 3 A C^{6} E + 6 A C^{5} D^{2} + 10 A C^{5} D E + 6 A C^{5} E^{2} + 10 A C^{4} D^{3} + 22 A C^{4} D^{2} E + 22 A C^{4} D E^{2} + 10 A C^{4} E^{3} + 10 A C^{3} D^{4} + 30 A C^{3} D^{3} E + 42 A C^{3} D^{2} E^{2} + 30 A C^{3} D E^{3} + 10 A C^{3} E^{4} + 6 A C^{2} D^{5} + 22 A C^{2} D^{4} E + 42 A C^{2} D^{3} E^{2} + 42 A C^{2} D^{2} E^{3} + 22 A C^{2} D E^{4} + 6 A C^{2} E^{5} + 3 A C D^{6} + 10 A C D^{5} E + 22 A C D^{4} E^{2} + 30 A C D^{3} E^{3} + 22 A C D^{2} E^{4} + 10 A C D E^{5} + 3 A C E^{6} + A D^{7} + 3 A D^{6} E + 6 A D^{5} E^{2} + 10 A D^{4} E^{3} + 10 A D^{3} E^{4} + 6 A D^{2} E^{5} + 3 A D E^{6} + A E^{7} + B^{8} + B^{7} C + B^{7} D + B^{7} E + 3 B^{6} C^{2} + 3 B^{6} C D + 3 B^{6} C E + 3 B^{6} D^{2} + 3 B^{6} D E + 3 B^{6} E^{2} + 3 B^{5} C^{3} + 6 B^{5} C^{2} D + 6 B^{5} C^{2} E + 6 B^{5} C D^{2} + 10 B^{5} C D E + 6 B^{5} C E^{2} + 3 B^{5} D^{3} + 6 B^{5} D^{2} E + 6 B^{5} D E^{2} + 3 B^{5} E^{3} + 6 B^{4} C^{4} + 10 B^{4} C^{3} D + 10 B^{4} C^{3} E + 16 B^{4} C^{2} D^{2} + 22 B^{4} C^{2} D E + 16 B^{4} C^{2} E^{2} + 10 B^{4} C D^{3} + 22 B^{4} C D^{2} E + 22 B^{4} C D E^{2} + 10 B^{4} C E^{3} + 6 B^{4} D^{4} + 10 B^{4} D^{3} E + 16 B^{4} D^{2} E^{2} + 10 B^{4} D E^{3} + 6 B^{4} E^{4} + 3 B^{3} C^{5} + 10 B^{3} C^{4} D + 10 B^{3} C^{4} E + 17 B^{3} C^{3} D^{2} + 30 B^{3} C^{3} D E + 17 B^{3} C^{3} E^{2} + 17 B^{3} C^{2} D^{3} + 42 B^{3} C^{2} D^{2} E + 42 B^{3} C^{2} D E^{2} + 17 B^{3} C^{2} E^{3} + 10 B^{3} C D^{4} + 30 B^{3} C D^{3} E + 42 B^{3} C D^{2} E^{2} + 30 B^{3} C D E^{3} + 10 B^{3} C E^{4} + 3 B^{3} D^{5} + 10 B^{3} D^{4} E + 17 B^{3} D^{3} E^{2} + 17 B^{3} D^{2} E^{3} + 10 B^{3} D E^{4} + 3 B^{3} E^{5} + 3 B^{2} C^{6} + 6 B^{2} C^{5} D + 6 B^{2} C^{5} E + 16 B^{2} C^{4} D^{2} + 22 B^{2} C^{4} D E + 16 B^{2} C^{4} E^{2} + 17 B^{2} C^{3} D^{3} + 42 B^{2} C^{3} D^{2} E + 42 B^{2} C^{3} D E^{2} + 17 B^{2} C^{3} E^{3} + 16 B^{2} C^{2} D^{4} + 42 B^{2} C^{2} D^{3} E + 68 B^{2} C^{2} D^{2} E^{2} + 42 B^{2} C^{2} D E^{3} + 16 B^{2} C^{2} E^{4} + 6 B^{2} C D^{5} + 22 B^{2} C D^{4} E + 42 B^{2} C D^{3} E^{2} + 42 B^{2} C D^{2} E^{3} + 22 B^{2} C D E^{4} + 6 B^{2} C E^{5} + 3 B^{2} D^{6} + 6 B^{2} D^{5} E + 16 B^{2} D^{4} E^{2} + 17 B^{2} D^{3} E^{3} + 16 B^{2} D^{2} E^{4} + 6 B^{2} D E^{5} + 3 B^{2} E^{6} + B C^{7} + 3 B C^{6} D + 3 B C^{6} E + 6 B C^{5} D^{2} + 10 B C^{5} D E + 6 B C^{5} E^{2} + 10 B C^{4} D^{3} + 22 B C^{4} D^{2} E + 22 B C^{4} D E^{2} + 10 B C^{4} E^{3} + 10 B C^{3} D^{4} + 30 B C^{3} D^{3} E + 42 B C^{3} D^{2} E^{2} + 30 B C^{3} D E^{3} + 10 B C^{3} E^{4} + 6 B C^{2} D^{5} + 22 B C^{2} D^{4} E + 42 B C^{2} D^{3} E^{2} + 42 B C^{2} D^{2} E^{3} + 22 B C^{2} D E^{4} + 6 B C^{2} E^{5} + 3 B C D^{6} + 10 B C D^{5} E + 22 B C D^{4} E^{2} + 30 B C D^{3} E^{3} + 22 B C D^{2} E^{4} + 10 B C D E^{5} + 3 B C E^{6} + B D^{7} + 3 B D^{6} E + 6 B D^{5} E^{2} + 10 B D^{4} E^{3} + 10 B D^{3} E^{4} + 6 B D^{2} E^{5} + 3 B D E^{6} + B E^{7} + C^{8} + C^{7} D + C^{7} E + 3 C^{6} D^{2} + 3 C^{6} D E + 3 C^{6} E^{2} + 3 C^{5} D^{3} + 6 C^{5} D^{2} E + 6 C^{5} D E^{2} + 3 C^{5} E^{3} + 6 C^{4} D^{4} + 10 C^{4} D^{3} E + 16 C^{4} D^{2} E^{2} + 10 C^{4} D E^{3} + 6 C^{4} E^{4} + 3 C^{3} D^{5} + 10 C^{3} D^{4} E + 17 C^{3} D^{3} E^{2} + 17 C^{3} D^{2} E^{3} + 10 C^{3} D E^{4} + 3 C^{3} E^{5} + 3 C^{2} D^{6} + 6 C^{2} D^{5} E + 16 C^{2} D^{4} E^{2} + 17 C^{2} D^{3} E^{3} + 16 C^{2} D^{2} E^{4} + 6 C^{2} D E^{5} + 3 C^{2} E^{6} + C D^{7} + 3 C D^{6} E + 6 C D^{5} E^{2} + 10 C D^{4} E^{3} + 10 C D^{3} E^{4} + 6 C D^{2} E^{5} + 3 C D E^{6} + C E^{7} + D^{8} + D^{7} E + 3 D^{6} E^{2} + 3 D^{5} E^{3} + 6 D^{4} E^{4} + 3 D^{3} E^{5} + 3 D^{2} E^{6} + D E^{7} + E^{8}$"
       ],
       "text/plain": [
-       "  12     11        11          10   2       10             10   2       9   3 \n",
-       "Co   + Co  â‹…Cr + Co  â‹…Ni + 4â‹…Co  â‹…Cr  + 4â‹…Co  â‹…Crâ‹…Ni + 4â‹…Co  â‹…Ni  + 9â‹…Co â‹…Cr  \n",
+       " 8    7      7      7      7        6  2      6          6          6         \n",
+       "A  + A â‹…B + A â‹…C + A â‹…D + A â‹…E + 3â‹…A â‹…B  + 3â‹…A â‹…Bâ‹…C + 3â‹…A â‹…Bâ‹…D + 3â‹…A â‹…Bâ‹…E + 3â‹…\n",
+       "\n",
+       " 6  2      6          6          6  2      6          6  2      5  3      5  2\n",
+       "A â‹…C  + 3â‹…A â‹…Câ‹…D + 3â‹…A â‹…Câ‹…E + 3â‹…A â‹…D  + 3â‹…A â‹…Dâ‹…E + 3â‹…A â‹…E  + 3â‹…A â‹…B  + 6â‹…A â‹…B \n",
+       "\n",
+       "        5  2        5  2        5    2       5             5            5    2\n",
+       "â‹…C + 6â‹…A â‹…B â‹…D + 6â‹…A â‹…B â‹…E + 6â‹…A â‹…Bâ‹…C  + 10â‹…A â‹…Bâ‹…Câ‹…D + 10â‹…A â‹…Bâ‹…Câ‹…E + 6â‹…A â‹…Bâ‹…D \n",
+       "\n",
+       "       5            5    2      5  3      5  2        5  2        5    2      \n",
+       " + 10â‹…A â‹…Bâ‹…Dâ‹…E + 6â‹…A â‹…Bâ‹…E  + 3â‹…A â‹…C  + 6â‹…A â‹…C â‹…D + 6â‹…A â‹…C â‹…E + 6â‹…A â‹…Câ‹…D  + 10â‹…\n",
+       "\n",
+       " 5            5    2      5  3      5  2        5    2      5  3      4  4    \n",
+       "A â‹…Câ‹…Dâ‹…E + 6â‹…A â‹…Câ‹…E  + 3â‹…A â‹…D  + 6â‹…A â‹…D â‹…E + 6â‹…A â‹…Dâ‹…E  + 3â‹…A â‹…E  + 6â‹…A â‹…B  + 1\n",
+       "\n",
+       "   4  3         4  3         4  3         4  2  2       4  2           4  2   \n",
+       "0â‹…A â‹…B â‹…C + 10â‹…A â‹…B â‹…D + 10â‹…A â‹…B â‹…E + 16â‹…A â‹…B â‹…C  + 22â‹…A â‹…B â‹…Câ‹…D + 22â‹…A â‹…B â‹…Câ‹…\n",
+       "\n",
+       "        4  2  2       4  2           4  2  2       4    3       4    2        \n",
+       "E + 16â‹…A â‹…B â‹…D  + 22â‹…A â‹…B â‹…Dâ‹…E + 16â‹…A â‹…B â‹…E  + 10â‹…A â‹…Bâ‹…C  + 22â‹…A â‹…Bâ‹…C â‹…D + 22â‹…\n",
+       "\n",
+       " 4    2         4      2       4               4      2       4    3       4  \n",
+       "A â‹…Bâ‹…C â‹…E + 22â‹…A â‹…Bâ‹…Câ‹…D  + 38â‹…A â‹…Bâ‹…Câ‹…Dâ‹…E + 22â‹…A â‹…Bâ‹…Câ‹…E  + 10â‹…A â‹…Bâ‹…D  + 22â‹…A â‹…B\n",
+       "\n",
+       "  2         4      2       4    3      4  4       4  3         4  3         4 \n",
+       "â‹…D â‹…E + 22â‹…A â‹…Bâ‹…Dâ‹…E  + 10â‹…A â‹…Bâ‹…E  + 6â‹…A â‹…C  + 10â‹…A â‹…C â‹…D + 10â‹…A â‹…C â‹…E + 16â‹…A â‹…\n",
+       "\n",
+       " 2  2       4  2           4  2  2       4    3       4    2         4      2 \n",
+       "C â‹…D  + 22â‹…A â‹…C â‹…Dâ‹…E + 16â‹…A â‹…C â‹…E  + 10â‹…A â‹…Câ‹…D  + 22â‹…A â‹…Câ‹…D â‹…E + 22â‹…A â‹…Câ‹…Dâ‹…E  \n",
+       "\n",
+       "      4    3      4  4       4  3         4  2  2       4    3      4  4      \n",
+       "+ 10â‹…A â‹…Câ‹…E  + 6â‹…A â‹…D  + 10â‹…A â‹…D â‹…E + 16â‹…A â‹…D â‹…E  + 10â‹…A â‹…Dâ‹…E  + 6â‹…A â‹…E  + 3â‹…A\n",
+       "\n",
+       "3  5       3  4         3  4         3  4         3  3  2       3  3          \n",
+       " â‹…B  + 10â‹…A â‹…B â‹…C + 10â‹…A â‹…B â‹…D + 10â‹…A â‹…B â‹…E + 17â‹…A â‹…B â‹…C  + 30â‹…A â‹…B â‹…Câ‹…D + 30â‹…\n",
+       "\n",
+       " 3  3           3  3  2       3  3           3  3  2       3  2  3       3  2 \n",
+       "A â‹…B â‹…Câ‹…E + 17â‹…A â‹…B â‹…D  + 30â‹…A â‹…B â‹…Dâ‹…E + 17â‹…A â‹…B â‹…E  + 17â‹…A â‹…B â‹…C  + 42â‹…A â‹…B â‹…\n",
+       "\n",
+       " 2         3  2  2         3  2    2       3  2             3  2    2       3 \n",
+       "C â‹…D + 42â‹…A â‹…B â‹…C â‹…E + 42â‹…A â‹…B â‹…Câ‹…D  + 76â‹…A â‹…B â‹…Câ‹…Dâ‹…E + 42â‹…A â‹…B â‹…Câ‹…E  + 17â‹…A â‹…\n",
+       "\n",
+       " 2  3       3  2  2         3  2    2       3  2  3       3    4       3    3 \n",
+       "B â‹…D  + 42â‹…A â‹…B â‹…D â‹…E + 42â‹…A â‹…B â‹…Dâ‹…E  + 17â‹…A â‹…B â‹…E  + 10â‹…A â‹…Bâ‹…C  + 30â‹…A â‹…Bâ‹…C â‹…\n",
+       "\n",
+       "        3    3         3    2  2       3    2           3    2  2       3     \n",
+       "D + 30â‹…A â‹…Bâ‹…C â‹…E + 42â‹…A â‹…Bâ‹…C â‹…D  + 76â‹…A â‹…Bâ‹…C â‹…Dâ‹…E + 42â‹…A â‹…Bâ‹…C â‹…E  + 30â‹…A â‹…Bâ‹…Câ‹…\n",
+       "\n",
+       " 3       3      2         3        2       3      3       3    4       3    3 \n",
+       "D  + 76â‹…A â‹…Bâ‹…Câ‹…D â‹…E + 76â‹…A â‹…Bâ‹…Câ‹…Dâ‹…E  + 30â‹…A â‹…Bâ‹…Câ‹…E  + 10â‹…A â‹…Bâ‹…D  + 30â‹…A â‹…Bâ‹…D â‹…\n",
+       "\n",
+       "        3    2  2       3      3       3    4      3  5       3  4         3  \n",
+       "E + 42â‹…A â‹…Bâ‹…D â‹…E  + 30â‹…A â‹…Bâ‹…Dâ‹…E  + 10â‹…A â‹…Bâ‹…E  + 3â‹…A â‹…C  + 10â‹…A â‹…C â‹…D + 10â‹…A â‹…C\n",
+       "\n",
+       "4         3  3  2       3  3           3  3  2       3  2  3       3  2  2    \n",
+       " â‹…E + 17â‹…A â‹…C â‹…D  + 30â‹…A â‹…C â‹…Dâ‹…E + 17â‹…A â‹…C â‹…E  + 17â‹…A â‹…C â‹…D  + 42â‹…A â‹…C â‹…D â‹…E +\n",
+       "\n",
+       "     3  2    2       3  2  3       3    4       3    3         3    2  2      \n",
+       " 42â‹…A â‹…C â‹…Dâ‹…E  + 17â‹…A â‹…C â‹…E  + 10â‹…A â‹…Câ‹…D  + 30â‹…A â‹…Câ‹…D â‹…E + 42â‹…A â‹…Câ‹…D â‹…E  + 30â‹…\n",
+       "\n",
+       " 3      3       3    4      3  5       3  4         3  3  2       3  2  3     \n",
+       "A â‹…Câ‹…Dâ‹…E  + 10â‹…A â‹…Câ‹…E  + 3â‹…A â‹…D  + 10â‹…A â‹…D â‹…E + 17â‹…A â‹…D â‹…E  + 17â‹…A â‹…D â‹…E  + 10\n",
+       "\n",
+       "  3    4      3  5      2  6      2  5        2  5        2  5         2  4  2\n",
+       "â‹…A â‹…Dâ‹…E  + 3â‹…A â‹…E  + 3â‹…A â‹…B  + 6â‹…A â‹…B â‹…C + 6â‹…A â‹…B â‹…D + 6â‹…A â‹…B â‹…E + 16â‹…A â‹…B â‹…C \n",
+       "\n",
+       "       2  4           2  4           2  4  2       2  4           2  4  2     \n",
+       " + 22â‹…A â‹…B â‹…Câ‹…D + 22â‹…A â‹…B â‹…Câ‹…E + 16â‹…A â‹…B â‹…D  + 22â‹…A â‹…B â‹…Dâ‹…E + 16â‹…A â‹…B â‹…E  + 17\n",
+       "\n",
+       "  2  3  3       2  3  2         2  3  2         2  3    2       2  3          \n",
+       "â‹…A â‹…B â‹…C  + 42â‹…A â‹…B â‹…C â‹…D + 42â‹…A â‹…B â‹…C â‹…E + 42â‹…A â‹…B â‹…Câ‹…D  + 76â‹…A â‹…B â‹…Câ‹…Dâ‹…E + 4\n",
+       "\n",
+       "   2  3    2       2  3  3       2  3  2         2  3    2       2  3  3      \n",
+       "2â‹…A â‹…B â‹…Câ‹…E  + 17â‹…A â‹…B â‹…D  + 42â‹…A â‹…B â‹…D â‹…E + 42â‹…A â‹…B â‹…Dâ‹…E  + 17â‹…A â‹…B â‹…E  + 16â‹…\n",
+       "\n",
+       " 2  2  4       2  2  3         2  2  3         2  2  2  2        2  2  2      \n",
+       "A â‹…B â‹…C  + 42â‹…A â‹…B â‹…C â‹…D + 42â‹…A â‹…B â‹…C â‹…E + 68â‹…A â‹…B â‹…C â‹…D  + 114â‹…A â‹…B â‹…C â‹…Dâ‹…E +\n",
+       "\n",
+       "     2  2  2  2       2  2    3        2  2    2          2  2      2       2 \n",
+       " 68â‹…A â‹…B â‹…C â‹…E  + 42â‹…A â‹…B â‹…Câ‹…D  + 114â‹…A â‹…B â‹…Câ‹…D â‹…E + 114â‹…A â‹…B â‹…Câ‹…Dâ‹…E  + 42â‹…A â‹…\n",
+       "\n",
+       " 2    3       2  2  4       2  2  3         2  2  2  2       2  2    3       2\n",
+       "B â‹…Câ‹…E  + 16â‹…A â‹…B â‹…D  + 42â‹…A â‹…B â‹…D â‹…E + 68â‹…A â‹…B â‹…D â‹…E  + 42â‹…A â‹…B â‹…Dâ‹…E  + 16â‹…A \n",
+       "\n",
+       "  2  4      2    5       2    4         2    4         2    3  2       2    3 \n",
+       "â‹…B â‹…E  + 6â‹…A â‹…Bâ‹…C  + 22â‹…A â‹…Bâ‹…C â‹…D + 22â‹…A â‹…Bâ‹…C â‹…E + 42â‹…A â‹…Bâ‹…C â‹…D  + 76â‹…A â‹…Bâ‹…C â‹…\n",
+       "\n",
+       "          2    3  2       2    2  3        2    2  2          2    2    2     \n",
+       "Dâ‹…E + 42â‹…A â‹…Bâ‹…C â‹…E  + 42â‹…A â‹…Bâ‹…C â‹…D  + 114â‹…A â‹…Bâ‹…C â‹…D â‹…E + 114â‹…A â‹…Bâ‹…C â‹…Dâ‹…E  + 42\n",
+       "\n",
+       "  2    2  3       2      4       2      3          2      2  2       2        \n",
+       "â‹…A â‹…Bâ‹…C â‹…E  + 22â‹…A â‹…Bâ‹…Câ‹…D  + 76â‹…A â‹…Bâ‹…Câ‹…D â‹…E + 114â‹…A â‹…Bâ‹…Câ‹…D â‹…E  + 76â‹…A â‹…Bâ‹…Câ‹…Dâ‹…E\n",
+       "\n",
+       "3       2      4      2    5       2    4         2    3  2       2    2  3   \n",
+       "  + 22â‹…A â‹…Bâ‹…Câ‹…E  + 6â‹…A â‹…Bâ‹…D  + 22â‹…A â‹…Bâ‹…D â‹…E + 42â‹…A â‹…Bâ‹…D â‹…E  + 42â‹…A â‹…Bâ‹…D â‹…E  + \n",
+       "\n",
+       "    2      4      2    5      2  6      2  5        2  5         2  4  2      \n",
+       "22â‹…A â‹…Bâ‹…Dâ‹…E  + 6â‹…A â‹…Bâ‹…E  + 3â‹…A â‹…C  + 6â‹…A â‹…C â‹…D + 6â‹…A â‹…C â‹…E + 16â‹…A â‹…C â‹…D  + 22â‹…\n",
+       "\n",
+       " 2  4           2  4  2       2  3  3       2  3  2         2  3    2       2 \n",
+       "A â‹…C â‹…Dâ‹…E + 16â‹…A â‹…C â‹…E  + 17â‹…A â‹…C â‹…D  + 42â‹…A â‹…C â‹…D â‹…E + 42â‹…A â‹…C â‹…Dâ‹…E  + 17â‹…A â‹…\n",
+       "\n",
+       " 3  3       2  2  4       2  2  3         2  2  2  2       2  2    3       2  \n",
+       "C â‹…E  + 16â‹…A â‹…C â‹…D  + 42â‹…A â‹…C â‹…D â‹…E + 68â‹…A â‹…C â‹…D â‹…E  + 42â‹…A â‹…C â‹…Dâ‹…E  + 16â‹…A â‹…C\n",
+       "\n",
+       "2  4      2    5       2    4         2    3  2       2    2  3       2      4\n",
+       " â‹…E  + 6â‹…A â‹…Câ‹…D  + 22â‹…A â‹…Câ‹…D â‹…E + 42â‹…A â‹…Câ‹…D â‹…E  + 42â‹…A â‹…Câ‹…D â‹…E  + 22â‹…A â‹…Câ‹…Dâ‹…E \n",
+       "\n",
+       "      2    5      2  6      2  5         2  4  2       2  3  3       2  2  4  \n",
+       " + 6â‹…A â‹…Câ‹…E  + 3â‹…A â‹…D  + 6â‹…A â‹…D â‹…E + 16â‹…A â‹…D â‹…E  + 17â‹…A â‹…D â‹…E  + 16â‹…A â‹…D â‹…E  +\n",
+       "\n",
+       "    2    5      2  6      7        6          6          6          5  2      \n",
+       " 6â‹…A â‹…Dâ‹…E  + 3â‹…A â‹…E  + Aâ‹…B  + 3â‹…Aâ‹…B â‹…C + 3â‹…Aâ‹…B â‹…D + 3â‹…Aâ‹…B â‹…E + 6â‹…Aâ‹…B â‹…C  + 10â‹…\n",
+       "\n",
+       "   5             5            5  2         5            5  2         4  3     \n",
+       "Aâ‹…B â‹…Câ‹…D + 10â‹…Aâ‹…B â‹…Câ‹…E + 6â‹…Aâ‹…B â‹…D  + 10â‹…Aâ‹…B â‹…Dâ‹…E + 6â‹…Aâ‹…B â‹…E  + 10â‹…Aâ‹…B â‹…C  + 22\n",
+       "\n",
+       "    4  2           4  2           4    2         4               4    2       \n",
+       "â‹…Aâ‹…B â‹…C â‹…D + 22â‹…Aâ‹…B â‹…C â‹…E + 22â‹…Aâ‹…B â‹…Câ‹…D  + 38â‹…Aâ‹…B â‹…Câ‹…Dâ‹…E + 22â‹…Aâ‹…B â‹…Câ‹…E  + 10â‹…A\n",
+       "\n",
+       "  4  3         4  2           4    2         4  3         3  4         3  3   \n",
+       "â‹…B â‹…D  + 22â‹…Aâ‹…B â‹…D â‹…E + 22â‹…Aâ‹…B â‹…Dâ‹…E  + 10â‹…Aâ‹…B â‹…E  + 10â‹…Aâ‹…B â‹…C  + 30â‹…Aâ‹…B â‹…C â‹…D \n",
+       "\n",
+       "        3  3           3  2  2         3  2             3  2  2         3    3\n",
+       "+ 30â‹…Aâ‹…B â‹…C â‹…E + 42â‹…Aâ‹…B â‹…C â‹…D  + 76â‹…Aâ‹…B â‹…C â‹…Dâ‹…E + 42â‹…Aâ‹…B â‹…C â‹…E  + 30â‹…Aâ‹…B â‹…Câ‹…D \n",
+       "\n",
+       "         3    2           3      2         3    3         3  4         3  3   \n",
+       " + 76â‹…Aâ‹…B â‹…Câ‹…D â‹…E + 76â‹…Aâ‹…B â‹…Câ‹…Dâ‹…E  + 30â‹…Aâ‹…B â‹…Câ‹…E  + 10â‹…Aâ‹…B â‹…D  + 30â‹…Aâ‹…B â‹…D â‹…E \n",
+       "\n",
+       "        3  2  2         3    3         3  4        2  5         2  4          \n",
+       "+ 42â‹…Aâ‹…B â‹…D â‹…E  + 30â‹…Aâ‹…B â‹…Dâ‹…E  + 10â‹…Aâ‹…B â‹…E  + 6â‹…Aâ‹…B â‹…C  + 22â‹…Aâ‹…B â‹…C â‹…D + 22â‹…Aâ‹…\n",
+       "\n",
+       " 2  4           2  3  2         2  3             2  3  2         2  2  3      \n",
+       "B â‹…C â‹…E + 42â‹…Aâ‹…B â‹…C â‹…D  + 76â‹…Aâ‹…B â‹…C â‹…Dâ‹…E + 42â‹…Aâ‹…B â‹…C â‹…E  + 42â‹…Aâ‹…B â‹…C â‹…D  + 114\n",
+       "\n",
+       "    2  2  2            2  2    2         2  2  3         2    4         2    3\n",
+       "â‹…Aâ‹…B â‹…C â‹…D â‹…E + 114â‹…Aâ‹…B â‹…C â‹…Dâ‹…E  + 42â‹…Aâ‹…B â‹…C â‹…E  + 22â‹…Aâ‹…B â‹…Câ‹…D  + 76â‹…Aâ‹…B â‹…Câ‹…D \n",
+       "\n",
+       "            2    2  2         2      3         2    4        2  5         2  4\n",
+       "â‹…E + 114â‹…Aâ‹…B â‹…Câ‹…D â‹…E  + 76â‹…Aâ‹…B â‹…Câ‹…Dâ‹…E  + 22â‹…Aâ‹…B â‹…Câ‹…E  + 6â‹…Aâ‹…B â‹…D  + 22â‹…Aâ‹…B â‹…D \n",
+       "\n",
+       "           2  3  2         2  2  3         2    4        2  5          6      \n",
+       "â‹…E + 42â‹…Aâ‹…B â‹…D â‹…E  + 42â‹…Aâ‹…B â‹…D â‹…E  + 22â‹…Aâ‹…B â‹…Dâ‹…E  + 6â‹…Aâ‹…B â‹…E  + 3â‹…Aâ‹…Bâ‹…C  + 10â‹…\n",
+       "\n",
+       "     5             5             4  2           4               4  2          \n",
+       "Aâ‹…Bâ‹…C â‹…D + 10â‹…Aâ‹…Bâ‹…C â‹…E + 22â‹…Aâ‹…Bâ‹…C â‹…D  + 38â‹…Aâ‹…Bâ‹…C â‹…Dâ‹…E + 22â‹…Aâ‹…Bâ‹…C â‹…E  + 30â‹…Aâ‹…Bâ‹…\n",
+       "\n",
+       " 3  3           3  2             3    2           3  3           2  4         \n",
+       "C â‹…D  + 76â‹…Aâ‹…Bâ‹…C â‹…D â‹…E + 76â‹…Aâ‹…Bâ‹…C â‹…Dâ‹…E  + 30â‹…Aâ‹…Bâ‹…C â‹…E  + 22â‹…Aâ‹…Bâ‹…C â‹…D  + 76â‹…Aâ‹…B\n",
+       "\n",
+       "  2  3              2  2  2           2    3           2  4             5     \n",
+       "â‹…C â‹…D â‹…E + 114â‹…Aâ‹…Bâ‹…C â‹…D â‹…E  + 76â‹…Aâ‹…Bâ‹…C â‹…Dâ‹…E  + 22â‹…Aâ‹…Bâ‹…C â‹…E  + 10â‹…Aâ‹…Bâ‹…Câ‹…D  + 38\n",
+       "\n",
+       "        4               3  2             2  3               4             5   \n",
+       "â‹…Aâ‹…Bâ‹…Câ‹…D â‹…E + 76â‹…Aâ‹…Bâ‹…Câ‹…D â‹…E  + 76â‹…Aâ‹…Bâ‹…Câ‹…D â‹…E  + 38â‹…Aâ‹…Bâ‹…Câ‹…Dâ‹…E  + 10â‹…Aâ‹…Bâ‹…Câ‹…E  + \n",
+       "\n",
+       "       6           5             4  2           3  3           2  4           \n",
+       "3â‹…Aâ‹…Bâ‹…D  + 10â‹…Aâ‹…Bâ‹…D â‹…E + 22â‹…Aâ‹…Bâ‹…D â‹…E  + 30â‹…Aâ‹…Bâ‹…D â‹…E  + 22â‹…Aâ‹…Bâ‹…D â‹…E  + 10â‹…Aâ‹…Bâ‹…D\n",
+       "\n",
+       "  5          6      7        6          6          5  2         5            5\n",
+       "â‹…E  + 3â‹…Aâ‹…Bâ‹…E  + Aâ‹…C  + 3â‹…Aâ‹…C â‹…D + 3â‹…Aâ‹…C â‹…E + 6â‹…Aâ‹…C â‹…D  + 10â‹…Aâ‹…C â‹…Dâ‹…E + 6â‹…Aâ‹…C \n",
+       "\n",
+       "  2         4  3         4  2           4    2         4  3         3  4      \n",
+       "â‹…E  + 10â‹…Aâ‹…C â‹…D  + 22â‹…Aâ‹…C â‹…D â‹…E + 22â‹…Aâ‹…C â‹…Dâ‹…E  + 10â‹…Aâ‹…C â‹…E  + 10â‹…Aâ‹…C â‹…D  + 30â‹…\n",
+       "\n",
+       "   3  3           3  2  2         3    3         3  4        2  5         2  4\n",
+       "Aâ‹…C â‹…D â‹…E + 42â‹…Aâ‹…C â‹…D â‹…E  + 30â‹…Aâ‹…C â‹…Dâ‹…E  + 10â‹…Aâ‹…C â‹…E  + 6â‹…Aâ‹…C â‹…D  + 22â‹…Aâ‹…C â‹…D \n",
+       "\n",
+       "           2  3  2         2  2  3         2    4        2  5          6      \n",
+       "â‹…E + 42â‹…Aâ‹…C â‹…D â‹…E  + 42â‹…Aâ‹…C â‹…D â‹…E  + 22â‹…Aâ‹…C â‹…Dâ‹…E  + 6â‹…Aâ‹…C â‹…E  + 3â‹…Aâ‹…Câ‹…D  + 10â‹…\n",
+       "\n",
+       "     5             4  2           3  3           2  4             5          6\n",
+       "Aâ‹…Câ‹…D â‹…E + 22â‹…Aâ‹…Câ‹…D â‹…E  + 30â‹…Aâ‹…Câ‹…D â‹…E  + 22â‹…Aâ‹…Câ‹…D â‹…E  + 10â‹…Aâ‹…Câ‹…Dâ‹…E  + 3â‹…Aâ‹…Câ‹…E \n",
+       "\n",
+       "      7        6          5  2         4  3         3  4        2  5          \n",
+       " + Aâ‹…D  + 3â‹…Aâ‹…D â‹…E + 6â‹…Aâ‹…D â‹…E  + 10â‹…Aâ‹…D â‹…E  + 10â‹…Aâ‹…D â‹…E  + 6â‹…Aâ‹…D â‹…E  + 3â‹…Aâ‹…Dâ‹…E\n",
+       "\n",
+       "6      7    8    7      7      7        6  2      6          6          6  2  \n",
+       "  + Aâ‹…E  + B  + B â‹…C + B â‹…D + B â‹…E + 3â‹…B â‹…C  + 3â‹…B â‹…Câ‹…D + 3â‹…B â‹…Câ‹…E + 3â‹…B â‹…D  +\n",
+       "\n",
+       "    6          6  2      5  3      5  2        5  2        5    2       5     \n",
+       " 3â‹…B â‹…Dâ‹…E + 3â‹…B â‹…E  + 3â‹…B â‹…C  + 6â‹…B â‹…C â‹…D + 6â‹…B â‹…C â‹…E + 6â‹…B â‹…Câ‹…D  + 10â‹…B â‹…Câ‹…Dâ‹…\n",
+       "\n",
+       "       5    2      5  3      5  2        5    2      5  3      4  4       4  3\n",
+       "E + 6â‹…B â‹…Câ‹…E  + 3â‹…B â‹…D  + 6â‹…B â‹…D â‹…E + 6â‹…B â‹…Dâ‹…E  + 3â‹…B â‹…E  + 6â‹…B â‹…C  + 10â‹…B â‹…C \n",
+       "\n",
+       "         4  3         4  2  2       4  2           4  2  2       4    3       \n",
+       "â‹…D + 10â‹…B â‹…C â‹…E + 16â‹…B â‹…C â‹…D  + 22â‹…B â‹…C â‹…Dâ‹…E + 16â‹…B â‹…C â‹…E  + 10â‹…B â‹…Câ‹…D  + 22â‹…B\n",
+       "\n",
+       "4    2         4      2       4    3      4  4       4  3         4  2  2     \n",
+       " â‹…Câ‹…D â‹…E + 22â‹…B â‹…Câ‹…Dâ‹…E  + 10â‹…B â‹…Câ‹…E  + 6â‹…B â‹…D  + 10â‹…B â‹…D â‹…E + 16â‹…B â‹…D â‹…E  + 10\n",
+       "\n",
+       "  4    3      4  4      3  5       3  4         3  4         3  3  2       3  \n",
+       "â‹…B â‹…Dâ‹…E  + 6â‹…B â‹…E  + 3â‹…B â‹…C  + 10â‹…B â‹…C â‹…D + 10â‹…B â‹…C â‹…E + 17â‹…B â‹…C â‹…D  + 30â‹…B â‹…C\n",
+       "\n",
+       "3           3  3  2       3  2  3       3  2  2         3  2    2       3  2  \n",
+       " â‹…Dâ‹…E + 17â‹…B â‹…C â‹…E  + 17â‹…B â‹…C â‹…D  + 42â‹…B â‹…C â‹…D â‹…E + 42â‹…B â‹…C â‹…Dâ‹…E  + 17â‹…B â‹…C â‹…E\n",
+       "\n",
+       "3       3    4       3    3         3    2  2       3      3       3    4     \n",
+       "  + 10â‹…B â‹…Câ‹…D  + 30â‹…B â‹…Câ‹…D â‹…E + 42â‹…B â‹…Câ‹…D â‹…E  + 30â‹…B â‹…Câ‹…Dâ‹…E  + 10â‹…B â‹…Câ‹…E  + 3â‹…\n",
+       "\n",
+       " 3  5       3  4         3  3  2       3  2  3       3    4      3  5      2  \n",
+       "B â‹…D  + 10â‹…B â‹…D â‹…E + 17â‹…B â‹…D â‹…E  + 17â‹…B â‹…D â‹…E  + 10â‹…B â‹…Dâ‹…E  + 3â‹…B â‹…E  + 3â‹…B â‹…C\n",
        "\n",
-       "       9   2           9      2       9   3        8   4        8   3         \n",
-       "+ 18â‹…Co â‹…Cr â‹…Ni + 18â‹…Co â‹…Crâ‹…Ni  + 9â‹…Co â‹…Ni  + 18â‹…Co â‹…Cr  + 47â‹…Co â‹…Cr â‹…Ni + 76â‹…\n",
+       "6      2  5        2  5         2  4  2       2  4           2  4  2       2  \n",
+       "  + 6â‹…B â‹…C â‹…D + 6â‹…B â‹…C â‹…E + 16â‹…B â‹…C â‹…D  + 22â‹…B â‹…C â‹…Dâ‹…E + 16â‹…B â‹…C â‹…E  + 17â‹…B â‹…C\n",
        "\n",
-       "  8   2   2        8      3        8   4        7   5        7   4            \n",
-       "Co â‹…Cr â‹…Ni  + 47â‹…Co â‹…Crâ‹…Ni  + 18â‹…Co â‹…Ni  + 24â‹…Co â‹…Cr  + 92â‹…Co â‹…Cr â‹…Ni + 182â‹…Co\n",
+       "3  3       2  3  2         2  3    2       2  3  3       2  2  4       2  2  3\n",
+       " â‹…D  + 42â‹…B â‹…C â‹…D â‹…E + 42â‹…B â‹…C â‹…Dâ‹…E  + 17â‹…B â‹…C â‹…E  + 16â‹…B â‹…C â‹…D  + 42â‹…B â‹…C â‹…D \n",
        "\n",
-       "7   3   2         7   2   3        7      4        7   5        6   6         \n",
-       " â‹…Cr â‹…Ni  + 182â‹…Co â‹…Cr â‹…Ni  + 92â‹…Co â‹…Crâ‹…Ni  + 24â‹…Co â‹…Ni  + 30â‹…Co â‹…Cr  + 126â‹…Co\n",
+       "         2  2  2  2       2  2    3       2  2  4      2    5       2    4    \n",
+       "â‹…E + 68â‹…B â‹…C â‹…D â‹…E  + 42â‹…B â‹…C â‹…Dâ‹…E  + 16â‹…B â‹…C â‹…E  + 6â‹…B â‹…Câ‹…D  + 22â‹…B â‹…Câ‹…D â‹…E +\n",
        "\n",
-       "6   5            6   4   2         6   3   3         6   2   4         6      \n",
-       " â‹…Cr â‹…Ni + 318â‹…Co â‹…Cr â‹…Ni  + 408â‹…Co â‹…Cr â‹…Ni  + 318â‹…Co â‹…Cr â‹…Ni  + 126â‹…Co â‹…Crâ‹…Ni\n",
+       "     2    3  2       2    2  3       2      4      2    5      2  6      2  5 \n",
+       " 42â‹…B â‹…Câ‹…D â‹…E  + 42â‹…B â‹…Câ‹…D â‹…E  + 22â‹…B â‹…Câ‹…Dâ‹…E  + 6â‹…B â‹…Câ‹…E  + 3â‹…B â‹…D  + 6â‹…B â‹…D â‹…\n",
        "\n",
-       "5        6   6        5   7         5   6            5   5   2         5   4  \n",
-       "  + 30â‹…Co â‹…Ni  + 24â‹…Co â‹…Cr  + 126â‹…Co â‹…Cr â‹…Ni + 372â‹…Co â‹…Cr â‹…Ni  + 606â‹…Co â‹…Cr â‹…N\n",
+       "        2  4  2       2  3  3       2  2  4      2    5      2  6      7      \n",
+       "E + 16â‹…B â‹…D â‹…E  + 17â‹…B â‹…D â‹…E  + 16â‹…B â‹…D â‹…E  + 6â‹…B â‹…Dâ‹…E  + 3â‹…B â‹…E  + Bâ‹…C  + 3â‹…B\n",
        "\n",
-       " 3         5   3   4         5   2   5         5      6        5   7        4 \n",
-       "i  + 606â‹…Co â‹…Cr â‹…Ni  + 372â‹…Co â‹…Cr â‹…Ni  + 126â‹…Co â‹…Crâ‹…Ni  + 24â‹…Co â‹…Ni  + 18â‹…Co â‹…\n",
+       "  6          6          5  2         5            5  2         4  3         4 \n",
+       "â‹…C â‹…D + 3â‹…Bâ‹…C â‹…E + 6â‹…Bâ‹…C â‹…D  + 10â‹…Bâ‹…C â‹…Dâ‹…E + 6â‹…Bâ‹…C â‹…E  + 10â‹…Bâ‹…C â‹…D  + 22â‹…Bâ‹…C â‹…\n",
        "\n",
-       "  8        4   7            4   6   2         4   5   3         4   4   4     \n",
-       "Cr  + 92â‹…Co â‹…Cr â‹…Ni + 318â‹…Co â‹…Cr â‹…Ni  + 606â‹…Co â‹…Cr â‹…Ni  + 768â‹…Co â‹…Cr â‹…Ni  + 60\n",
+       " 2           4    2         4  3         3  4         3  3           3  2  2  \n",
+       "D â‹…E + 22â‹…Bâ‹…C â‹…Dâ‹…E  + 10â‹…Bâ‹…C â‹…E  + 10â‹…Bâ‹…C â‹…D  + 30â‹…Bâ‹…C â‹…D â‹…E + 42â‹…Bâ‹…C â‹…D â‹…E  +\n",
        "\n",
-       "    4   3   5         4   2   6        4      7        4   8       3   9      \n",
-       "6â‹…Co â‹…Cr â‹…Ni  + 318â‹…Co â‹…Cr â‹…Ni  + 92â‹…Co â‹…Crâ‹…Ni  + 18â‹…Co â‹…Ni  + 9â‹…Co â‹…Cr  + 47â‹…\n",
+       "       3    3         3  4        2  5         2  4           2  3  2         \n",
+       " 30â‹…Bâ‹…C â‹…Dâ‹…E  + 10â‹…Bâ‹…C â‹…E  + 6â‹…Bâ‹…C â‹…D  + 22â‹…Bâ‹…C â‹…D â‹…E + 42â‹…Bâ‹…C â‹…D â‹…E  + 42â‹…Bâ‹…C\n",
        "\n",
-       "  3   8            3   7   2         3   6   3         3   5   4         3   4\n",
-       "Co â‹…Cr â‹…Ni + 182â‹…Co â‹…Cr â‹…Ni  + 408â‹…Co â‹…Cr â‹…Ni  + 606â‹…Co â‹…Cr â‹…Ni  + 606â‹…Co â‹…Cr \n",
+       "2  2  3         2    4        2  5          6           5             4  2    \n",
+       " â‹…D â‹…E  + 22â‹…Bâ‹…C â‹…Dâ‹…E  + 6â‹…Bâ‹…C â‹…E  + 3â‹…Bâ‹…Câ‹…D  + 10â‹…Bâ‹…Câ‹…D â‹…E + 22â‹…Bâ‹…Câ‹…D â‹…E  + 3\n",
        "\n",
-       "   5         3   3   6         3   2   7        3      8       3   9       2  \n",
-       "â‹…Ni  + 408â‹…Co â‹…Cr â‹…Ni  + 182â‹…Co â‹…Cr â‹…Ni  + 47â‹…Co â‹…Crâ‹…Ni  + 9â‹…Co â‹…Ni  + 4â‹…Co â‹…C\n",
+       "       3  3           2  4             5          6      7        6          5\n",
+       "0â‹…Bâ‹…Câ‹…D â‹…E  + 22â‹…Bâ‹…Câ‹…D â‹…E  + 10â‹…Bâ‹…Câ‹…Dâ‹…E  + 3â‹…Bâ‹…Câ‹…E  + Bâ‹…D  + 3â‹…Bâ‹…D â‹…E + 6â‹…Bâ‹…D \n",
        "\n",
-       " 10        2   9           2   8   2         2   7   3         2   6   4      \n",
-       "r   + 18â‹…Co â‹…Cr â‹…Ni + 76â‹…Co â‹…Cr â‹…Ni  + 182â‹…Co â‹…Cr â‹…Ni  + 318â‹…Co â‹…Cr â‹…Ni  + 372\n",
+       "  2         4  3         3  4        2  5          6      7    8    7      7  \n",
+       "â‹…E  + 10â‹…Bâ‹…D â‹…E  + 10â‹…Bâ‹…D â‹…E  + 6â‹…Bâ‹…D â‹…E  + 3â‹…Bâ‹…Dâ‹…E  + Bâ‹…E  + C  + C â‹…D + C â‹…E\n",
        "\n",
-       "   2   5   5         2   4   6         2   3   7        2   2   8        2    \n",
-       "â‹…Co â‹…Cr â‹…Ni  + 318â‹…Co â‹…Cr â‹…Ni  + 182â‹…Co â‹…Cr â‹…Ni  + 76â‹…Co â‹…Cr â‹…Ni  + 18â‹…Co â‹…Crâ‹…\n",
+       "      6  2      6          6  2      5  3      5  2        5    2      5  3   \n",
+       " + 3â‹…C â‹…D  + 3â‹…C â‹…Dâ‹…E + 3â‹…C â‹…E  + 3â‹…C â‹…D  + 6â‹…C â‹…D â‹…E + 6â‹…C â‹…Dâ‹…E  + 3â‹…C â‹…E  + \n",
        "\n",
-       "  9       2   10        11          10              9   2           8   3     \n",
-       "Ni  + 4â‹…Co â‹…Ni   + Coâ‹…Cr   + 4â‹…Coâ‹…Cr  â‹…Ni + 18â‹…Coâ‹…Cr â‹…Ni  + 47â‹…Coâ‹…Cr â‹…Ni  + 92\n",
+       "   4  4       4  3         4  2  2       4    3      4  4      3  5       3  4\n",
+       "6â‹…C â‹…D  + 10â‹…C â‹…D â‹…E + 16â‹…C â‹…D â‹…E  + 10â‹…C â‹…Dâ‹…E  + 6â‹…C â‹…E  + 3â‹…C â‹…D  + 10â‹…C â‹…D \n",
        "\n",
-       "      7   4            6   5            5   6           4   7           3   8 \n",
-       "â‹…Coâ‹…Cr â‹…Ni  + 126â‹…Coâ‹…Cr â‹…Ni  + 126â‹…Coâ‹…Cr â‹…Ni  + 92â‹…Coâ‹…Cr â‹…Ni  + 47â‹…Coâ‹…Cr â‹…Ni  \n",
+       "         3  3  2       3  2  3       3    4      3  5      2  6      2  5     \n",
+       "â‹…E + 17â‹…C â‹…D â‹…E  + 17â‹…C â‹…D â‹…E  + 10â‹…C â‹…Dâ‹…E  + 3â‹…C â‹…E  + 3â‹…C â‹…D  + 6â‹…C â‹…D â‹…E + \n",
        "\n",
-       "          2   9             10        11     12     11          10   2       9\n",
-       "+ 18â‹…Coâ‹…Cr â‹…Ni  + 4â‹…Coâ‹…Crâ‹…Ni   + Coâ‹…Ni   + Cr   + Cr  â‹…Ni + 4â‹…Cr  â‹…Ni  + 9â‹…Cr \n",
+       "    2  4  2       2  3  3       2  2  4      2    5      2  6      7        6 \n",
+       "16â‹…C â‹…D â‹…E  + 17â‹…C â‹…D â‹…E  + 16â‹…C â‹…D â‹…E  + 6â‹…C â‹…Dâ‹…E  + 3â‹…C â‹…E  + Câ‹…D  + 3â‹…Câ‹…D â‹…\n",
        "\n",
-       "   3        8   4        7   5        6   6        5   7        4   8       3 \n",
-       "â‹…Ni  + 18â‹…Cr â‹…Ni  + 24â‹…Cr â‹…Ni  + 30â‹…Cr â‹…Ni  + 24â‹…Cr â‹…Ni  + 18â‹…Cr â‹…Ni  + 9â‹…Cr â‹…\n",
+       "         5  2         4  3         3  4        2  5          6      7    8    \n",
+       "E + 6â‹…Câ‹…D â‹…E  + 10â‹…Câ‹…D â‹…E  + 10â‹…Câ‹…D â‹…E  + 6â‹…Câ‹…D â‹…E  + 3â‹…Câ‹…Dâ‹…E  + Câ‹…E  + D  + D\n",
        "\n",
-       "  9       2   10        11     12\n",
-       "Ni  + 4â‹…Cr â‹…Ni   + Crâ‹…Ni   + Ni  "
+       "7        6  2      5  3      4  4      3  5      2  6      7    8\n",
+       " â‹…E + 3â‹…D â‹…E  + 3â‹…D â‹…E  + 6â‹…D â‹…E  + 3â‹…D â‹…E  + 3â‹…D â‹…E  + Dâ‹…E  + E "
       ]
      },
-     "execution_count": 24,
+     "execution_count": 6,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -166,22 +551,23 @@
    "source": [
     "init_printing()\n",
     "\n",
-    "pl = Polya(graph_name=\"fcc\")\n",
+    "pl = Polya(graph_name=\"bcc\")\n",
     "\n",
-    "ntypes = 3\n",
+    "ntypes = 5\n",
     "p_g, nms = pl.get_gt(ntypes=ntypes)\n",
     "\n",
-    "# Replacing t1, t2 and t3 with Cr, Co, Ni.\n",
     "p_g = p_g.subs(\n",
     "    {\n",
-    "        symbols(\"t1\"): symbols(\"Cr\"),\n",
-    "        symbols(\"t2\"): symbols(\"Co\"),\n",
-    "        symbols(\"t3\"): symbols(\"Ni\"),\n",
+    "        symbols(\"t1\"): symbols(\"A\"),\n",
+    "        symbols(\"t2\"): symbols(\"B\"),\n",
+    "        symbols(\"t3\"): symbols(\"C\"),\n",
+    "        symbols(\"t4\"): symbols(\"D\"),\n",
+    "        symbols(\"t5\"): symbols(\"E\"),\n",
     "    }\n",
     ")\n",
     "\n",
     "print(\n",
-    "    \"The pattern inventory for the fcc first coordination polyhedron of the CrCoNi system is given by: \\n\"\n",
+    "    \"The pattern inventory for the bcc first coordination polyhedron of a quintenart system is given by: \\n\"\n",
     ")\n",
     "\n",
     "p_g"
@@ -189,20 +575,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
        "
\n",
-       " We have a total of 12111 distinct coordination polyhedron, which in turns yield 36333 distinct local chemical \n",
+       " We have a total of 10375 distinct coordination polyhedron, which in turns yield 51875 distinct local chemical \n",
        "motifs. \n",
        "
\n"
       ],
       "text/plain": [
        "\n",
-       " We have a total of \u001b[1;36m12111\u001b[0m distinct coordination polyhedron, which in turns yield \u001b[1;36m36333\u001b[0m distinct local chemical \n",
+       " We have a total of \u001b[1;36m10375\u001b[0m distinct coordination polyhedron, which in turns yield \u001b[1;36m51875\u001b[0m distinct local chemical \n",
        "motifs. \n"
       ]
      },
@@ -220,34 +606,34 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## 2. Model expressivity on the fcc ternary synthetic dataset and physically constrained embedding space"
+    "## 2. Model expressivity on the bcc quintenarty synthetic dataset and physically constrained embedding space"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [],
    "source": [
     "%%capture \n",
     "from _frameworks import SyntheticChemicalMotifIdentifier\n",
     "\n",
-    "eca = SyntheticChemicalMotifIdentifier(crystal_structure=\"fcc\")\n",
+    "eca = SyntheticChemicalMotifIdentifier(crystal_structure=\"bcc\")\n",
     "df = eca.predict(\n",
-    "    root=\"data/synthetic/fcc_graph_datasets/\",\n",
-    "    skeleton_graph_path=\"data/inputs_doi-10.48550-arXiv.2311.01545/fcc_1nn.pt\",\n",
-    "    atom_types_paths=[\n",
-    "        \"data/inputs_doi-10.48550-arXiv.2311.01545/fcc_nelement3_generators.pt\"\n",
+    "    root=\"data/synthetic/bcc_graph_datasets/\",\n",
+    "    skeleton_graph_path=\"data/inputs_doi-TBD/bcc_1nn.pt\",\n",
+    "    atom_types_paths=\n",
+    "        [f\"data/inputs_doi-TBD/atom_types_generators/bcc_nelement5_idx{i}.pt\" for i in range(0,107,1)\n",
     "    ],\n",
-    "    nelement=3,\n",
+    "    nelement=5,\n",
     ")\n",
     "os.makedirs(\"data/synthetic/outputs/\", exist_ok=True)\n",
-    "df.to_pickle(\"data/synthetic/outputs/df_fcc.pkl\")"
+    "df.to_pickle(\"data/synthetic/outputs/df_bcc.pkl\")"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
@@ -267,193 +653,1001 @@
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+       "    (4.0, 1.0, 1.0, 0.0, 2.0): 22,\n",
+       "    (4.0, 1.0, 1.0, 1.0, 1.0): 38,\n",
+       "    (4.0, 1.0, 1.0, 2.0, 0.0): 22,\n",
+       "    (4.0, 1.0, 2.0, 0.0, 1.0): 22,\n",
+       "    (4.0, 1.0, 2.0, 1.0, 0.0): 22,\n",
+       "    (4.0, 1.0, 3.0, 0.0, 0.0): 10,\n",
+       "    (4.0, 2.0, 0.0, 0.0, 2.0): 16,\n",
+       "    (4.0, 2.0, 0.0, 1.0, 1.0): 22,\n",
+       "    (4.0, 2.0, 0.0, 2.0, 0.0): 16,\n",
+       "    (4.0, 2.0, 1.0, 0.0, 1.0): 22,\n",
+       "    (4.0, 2.0, 1.0, 1.0, 0.0): 22,\n",
+       "    (4.0, 2.0, 2.0, 0.0, 0.0): 16,\n",
+       "    (4.0, 3.0, 0.0, 0.0, 1.0): 10,\n",
+       "    (4.0, 3.0, 0.0, 1.0, 0.0): 10,\n",
+       "    (4.0, 3.0, 1.0, 0.0, 0.0): 10,\n",
+       "    (4.0, 4.0, 0.0, 0.0, 0.0): 6,\n",
+       "    (5.0, 0.0, 0.0, 0.0, 3.0): 3,\n",
+       "    (5.0, 0.0, 0.0, 1.0, 2.0): 6,\n",
+       "    (5.0, 0.0, 0.0, 2.0, 1.0): 6,\n",
+       "    (5.0, 0.0, 0.0, 3.0, 0.0): 3,\n",
+       "    (5.0, 0.0, 1.0, 0.0, 2.0): 6,\n",
+       "    (5.0, 0.0, 1.0, 1.0, 1.0): 10,\n",
+       "    (5.0, 0.0, 1.0, 2.0, 0.0): 6,\n",
+       "    (5.0, 0.0, 2.0, 0.0, 1.0): 6,\n",
+       "    (5.0, 0.0, 2.0, 1.0, 0.0): 6,\n",
+       "    (5.0, 0.0, 3.0, 0.0, 0.0): 3,\n",
+       "    (5.0, 1.0, 0.0, 0.0, 2.0): 6,\n",
+       "    (5.0, 1.0, 0.0, 1.0, 1.0): 10,\n",
+       "    (5.0, 1.0, 0.0, 2.0, 0.0): 6,\n",
+       "    (5.0, 1.0, 1.0, 0.0, 1.0): 10,\n",
+       "    (5.0, 1.0, 1.0, 1.0, 0.0): 10,\n",
+       "    (5.0, 1.0, 2.0, 0.0, 0.0): 6,\n",
+       "    (5.0, 2.0, 0.0, 0.0, 1.0): 6,\n",
+       "    (5.0, 2.0, 0.0, 1.0, 0.0): 6,\n",
+       "    (5.0, 2.0, 1.0, 0.0, 0.0): 6,\n",
+       "    (5.0, 3.0, 0.0, 0.0, 0.0): 3,\n",
+       "    (6.0, 0.0, 0.0, 0.0, 2.0): 3,\n",
+       "    (6.0, 0.0, 0.0, 1.0, 1.0): 3,\n",
+       "    (6.0, 0.0, 0.0, 2.0, 0.0): 3,\n",
+       "    (6.0, 0.0, 1.0, 0.0, 1.0): 3,\n",
+       "    (6.0, 0.0, 1.0, 1.0, 0.0): 3,\n",
+       "    (6.0, 0.0, 2.0, 0.0, 0.0): 3,\n",
+       "    (6.0, 1.0, 0.0, 0.0, 1.0): 3,\n",
+       "    (6.0, 1.0, 0.0, 1.0, 0.0): 3,\n",
+       "    (6.0, 1.0, 1.0, 0.0, 0.0): 3,\n",
+       "    (6.0, 2.0, 0.0, 0.0, 0.0): 3,\n",
+       "    (7.0, 0.0, 0.0, 0.0, 1.0): 1,\n",
+       "    (7.0, 0.0, 0.0, 1.0, 0.0): 1,\n",
+       "    (7.0, 0.0, 1.0, 0.0, 0.0): 1,\n",
+       "    (7.0, 1.0, 0.0, 0.0, 0.0): 1,\n",
+       "    (8.0, 0.0, 0.0, 0.0, 0.0): 1\n",
        "}\n",
        "
\n"
       ],
       "text/plain": [
        "\u001b[1m{\u001b[0m\n",
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-       "    \u001b[1m(\u001b[0m\u001b[1;36m5.0\u001b[0m, \u001b[1;36m0.0\u001b[0m, \u001b[1;36m7.0\u001b[0m\u001b[1m)\u001b[0m: \u001b[1;36m24\u001b[0m,\n",
-       "    \u001b[1m(\u001b[0m\u001b[1;36m5.0\u001b[0m, \u001b[1;36m1.0\u001b[0m, \u001b[1;36m6.0\u001b[0m\u001b[1m)\u001b[0m: \u001b[1;36m126\u001b[0m,\n",
-       "    \u001b[1m(\u001b[0m\u001b[1;36m5.0\u001b[0m, \u001b[1;36m2.0\u001b[0m, \u001b[1;36m5.0\u001b[0m\u001b[1m)\u001b[0m: \u001b[1;36m372\u001b[0m,\n",
-       "    \u001b[1m(\u001b[0m\u001b[1;36m5.0\u001b[0m, \u001b[1;36m3.0\u001b[0m, \u001b[1;36m4.0\u001b[0m\u001b[1m)\u001b[0m: \u001b[1;36m606\u001b[0m,\n",
-       "    \u001b[1m(\u001b[0m\u001b[1;36m5.0\u001b[0m, \u001b[1;36m4.0\u001b[0m, \u001b[1;36m3.0\u001b[0m\u001b[1m)\u001b[0m: \u001b[1;36m606\u001b[0m,\n",
-       "    \u001b[1m(\u001b[0m\u001b[1;36m5.0\u001b[0m, \u001b[1;36m5.0\u001b[0m, \u001b[1;36m2.0\u001b[0m\u001b[1m)\u001b[0m: \u001b[1;36m372\u001b[0m,\n",
-       "    \u001b[1m(\u001b[0m\u001b[1;36m5.0\u001b[0m, \u001b[1;36m6.0\u001b[0m, \u001b[1;36m1.0\u001b[0m\u001b[1m)\u001b[0m: \u001b[1;36m126\u001b[0m,\n",
-       "    \u001b[1m(\u001b[0m\u001b[1;36m5.0\u001b[0m, \u001b[1;36m7.0\u001b[0m, \u001b[1;36m0.0\u001b[0m\u001b[1m)\u001b[0m: \u001b[1;36m24\u001b[0m,\n",
-       "    \u001b[1m(\u001b[0m\u001b[1;36m6.0\u001b[0m, \u001b[1;36m0.0\u001b[0m, \u001b[1;36m6.0\u001b[0m\u001b[1m)\u001b[0m: \u001b[1;36m30\u001b[0m,\n",
-       "    \u001b[1m(\u001b[0m\u001b[1;36m6.0\u001b[0m, \u001b[1;36m1.0\u001b[0m, \u001b[1;36m5.0\u001b[0m\u001b[1m)\u001b[0m: \u001b[1;36m126\u001b[0m,\n",
-       "    \u001b[1m(\u001b[0m\u001b[1;36m6.0\u001b[0m, \u001b[1;36m2.0\u001b[0m, \u001b[1;36m4.0\u001b[0m\u001b[1m)\u001b[0m: \u001b[1;36m318\u001b[0m,\n",
-       "    \u001b[1m(\u001b[0m\u001b[1;36m6.0\u001b[0m, \u001b[1;36m3.0\u001b[0m, \u001b[1;36m3.0\u001b[0m\u001b[1m)\u001b[0m: \u001b[1;36m408\u001b[0m,\n",
-       "    \u001b[1m(\u001b[0m\u001b[1;36m6.0\u001b[0m, \u001b[1;36m4.0\u001b[0m, \u001b[1;36m2.0\u001b[0m\u001b[1m)\u001b[0m: \u001b[1;36m318\u001b[0m,\n",
-       "    \u001b[1m(\u001b[0m\u001b[1;36m6.0\u001b[0m, \u001b[1;36m5.0\u001b[0m, \u001b[1;36m1.0\u001b[0m\u001b[1m)\u001b[0m: \u001b[1;36m126\u001b[0m,\n",
-       "    \u001b[1m(\u001b[0m\u001b[1;36m6.0\u001b[0m, \u001b[1;36m6.0\u001b[0m, \u001b[1;36m0.0\u001b[0m\u001b[1m)\u001b[0m: \u001b[1;36m30\u001b[0m,\n",
-       "    \u001b[1m(\u001b[0m\u001b[1;36m7.0\u001b[0m, \u001b[1;36m0.0\u001b[0m, \u001b[1;36m5.0\u001b[0m\u001b[1m)\u001b[0m: \u001b[1;36m24\u001b[0m,\n",
-       "    \u001b[1m(\u001b[0m\u001b[1;36m7.0\u001b[0m, \u001b[1;36m1.0\u001b[0m, \u001b[1;36m4.0\u001b[0m\u001b[1m)\u001b[0m: \u001b[1;36m92\u001b[0m,\n",
-       "    \u001b[1m(\u001b[0m\u001b[1;36m7.0\u001b[0m, \u001b[1;36m2.0\u001b[0m, \u001b[1;36m3.0\u001b[0m\u001b[1m)\u001b[0m: \u001b[1;36m182\u001b[0m,\n",
-       "    \u001b[1m(\u001b[0m\u001b[1;36m7.0\u001b[0m, \u001b[1;36m3.0\u001b[0m, \u001b[1;36m2.0\u001b[0m\u001b[1m)\u001b[0m: \u001b[1;36m182\u001b[0m,\n",
-       "    \u001b[1m(\u001b[0m\u001b[1;36m7.0\u001b[0m, \u001b[1;36m4.0\u001b[0m, \u001b[1;36m1.0\u001b[0m\u001b[1m)\u001b[0m: \u001b[1;36m92\u001b[0m,\n",
-       "    \u001b[1m(\u001b[0m\u001b[1;36m7.0\u001b[0m, \u001b[1;36m5.0\u001b[0m, \u001b[1;36m0.0\u001b[0m\u001b[1m)\u001b[0m: \u001b[1;36m24\u001b[0m,\n",
-       "    \u001b[1m(\u001b[0m\u001b[1;36m8.0\u001b[0m, \u001b[1;36m0.0\u001b[0m, \u001b[1;36m4.0\u001b[0m\u001b[1m)\u001b[0m: \u001b[1;36m18\u001b[0m,\n",
-       "    \u001b[1m(\u001b[0m\u001b[1;36m8.0\u001b[0m, \u001b[1;36m1.0\u001b[0m, \u001b[1;36m3.0\u001b[0m\u001b[1m)\u001b[0m: \u001b[1;36m47\u001b[0m,\n",
-       "    \u001b[1m(\u001b[0m\u001b[1;36m8.0\u001b[0m, \u001b[1;36m2.0\u001b[0m, \u001b[1;36m2.0\u001b[0m\u001b[1m)\u001b[0m: \u001b[1;36m76\u001b[0m,\n",
-       "    \u001b[1m(\u001b[0m\u001b[1;36m8.0\u001b[0m, \u001b[1;36m3.0\u001b[0m, \u001b[1;36m1.0\u001b[0m\u001b[1m)\u001b[0m: \u001b[1;36m47\u001b[0m,\n",
-       "    \u001b[1m(\u001b[0m\u001b[1;36m8.0\u001b[0m, \u001b[1;36m4.0\u001b[0m, \u001b[1;36m0.0\u001b[0m\u001b[1m)\u001b[0m: \u001b[1;36m18\u001b[0m,\n",
-       "    \u001b[1m(\u001b[0m\u001b[1;36m9.0\u001b[0m, \u001b[1;36m0.0\u001b[0m, \u001b[1;36m3.0\u001b[0m\u001b[1m)\u001b[0m: \u001b[1;36m9\u001b[0m,\n",
-       "    \u001b[1m(\u001b[0m\u001b[1;36m9.0\u001b[0m, \u001b[1;36m1.0\u001b[0m, \u001b[1;36m2.0\u001b[0m\u001b[1m)\u001b[0m: \u001b[1;36m18\u001b[0m,\n",
-       "    \u001b[1m(\u001b[0m\u001b[1;36m9.0\u001b[0m, \u001b[1;36m2.0\u001b[0m, \u001b[1;36m1.0\u001b[0m\u001b[1m)\u001b[0m: \u001b[1;36m18\u001b[0m,\n",
-       "    \u001b[1m(\u001b[0m\u001b[1;36m9.0\u001b[0m, \u001b[1;36m3.0\u001b[0m, \u001b[1;36m0.0\u001b[0m\u001b[1m)\u001b[0m: \u001b[1;36m9\u001b[0m,\n",
-       "    \u001b[1m(\u001b[0m\u001b[1;36m10.0\u001b[0m, \u001b[1;36m0.0\u001b[0m, \u001b[1;36m2.0\u001b[0m\u001b[1m)\u001b[0m: \u001b[1;36m4\u001b[0m,\n",
-       "    \u001b[1m(\u001b[0m\u001b[1;36m10.0\u001b[0m, \u001b[1;36m1.0\u001b[0m, \u001b[1;36m1.0\u001b[0m\u001b[1m)\u001b[0m: \u001b[1;36m4\u001b[0m,\n",
-       "    \u001b[1m(\u001b[0m\u001b[1;36m10.0\u001b[0m, \u001b[1;36m2.0\u001b[0m, \u001b[1;36m0.0\u001b[0m\u001b[1m)\u001b[0m: \u001b[1;36m4\u001b[0m,\n",
-       "    \u001b[1m(\u001b[0m\u001b[1;36m11.0\u001b[0m, \u001b[1;36m0.0\u001b[0m, \u001b[1;36m1.0\u001b[0m\u001b[1m)\u001b[0m: \u001b[1;36m1\u001b[0m,\n",
-       "    \u001b[1m(\u001b[0m\u001b[1;36m11.0\u001b[0m, \u001b[1;36m1.0\u001b[0m, \u001b[1;36m0.0\u001b[0m\u001b[1m)\u001b[0m: \u001b[1;36m1\u001b[0m,\n",
-       "    \u001b[1m(\u001b[0m\u001b[1;36m12.0\u001b[0m, \u001b[1;36m0.0\u001b[0m, \u001b[1;36m0.0\u001b[0m\u001b[1m)\u001b[0m: \u001b[1;36m1\u001b[0m\n",
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+       "    \u001b[1m(\u001b[0m\u001b[1;36m6.0\u001b[0m, \u001b[1;36m0.0\u001b[0m, \u001b[1;36m1.0\u001b[0m, \u001b[1;36m0.0\u001b[0m, \u001b[1;36m1.0\u001b[0m\u001b[1m)\u001b[0m: \u001b[1;36m3\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[1;36m6.0\u001b[0m, \u001b[1;36m0.0\u001b[0m, \u001b[1;36m1.0\u001b[0m, \u001b[1;36m1.0\u001b[0m, \u001b[1;36m0.0\u001b[0m\u001b[1m)\u001b[0m: \u001b[1;36m3\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[1;36m6.0\u001b[0m, \u001b[1;36m0.0\u001b[0m, \u001b[1;36m2.0\u001b[0m, \u001b[1;36m0.0\u001b[0m, \u001b[1;36m0.0\u001b[0m\u001b[1m)\u001b[0m: \u001b[1;36m3\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[1;36m6.0\u001b[0m, \u001b[1;36m1.0\u001b[0m, \u001b[1;36m0.0\u001b[0m, \u001b[1;36m0.0\u001b[0m, \u001b[1;36m1.0\u001b[0m\u001b[1m)\u001b[0m: \u001b[1;36m3\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[1;36m6.0\u001b[0m, \u001b[1;36m1.0\u001b[0m, \u001b[1;36m0.0\u001b[0m, \u001b[1;36m1.0\u001b[0m, \u001b[1;36m0.0\u001b[0m\u001b[1m)\u001b[0m: \u001b[1;36m3\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[1;36m6.0\u001b[0m, \u001b[1;36m1.0\u001b[0m, \u001b[1;36m1.0\u001b[0m, \u001b[1;36m0.0\u001b[0m, \u001b[1;36m0.0\u001b[0m\u001b[1m)\u001b[0m: \u001b[1;36m3\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[1;36m6.0\u001b[0m, \u001b[1;36m2.0\u001b[0m, \u001b[1;36m0.0\u001b[0m, \u001b[1;36m0.0\u001b[0m, \u001b[1;36m0.0\u001b[0m\u001b[1m)\u001b[0m: \u001b[1;36m3\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[1;36m7.0\u001b[0m, \u001b[1;36m0.0\u001b[0m, \u001b[1;36m0.0\u001b[0m, \u001b[1;36m0.0\u001b[0m, \u001b[1;36m1.0\u001b[0m\u001b[1m)\u001b[0m: \u001b[1;36m1\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[1;36m7.0\u001b[0m, \u001b[1;36m0.0\u001b[0m, \u001b[1;36m0.0\u001b[0m, \u001b[1;36m1.0\u001b[0m, \u001b[1;36m0.0\u001b[0m\u001b[1m)\u001b[0m: \u001b[1;36m1\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[1;36m7.0\u001b[0m, \u001b[1;36m0.0\u001b[0m, \u001b[1;36m1.0\u001b[0m, \u001b[1;36m0.0\u001b[0m, \u001b[1;36m0.0\u001b[0m\u001b[1m)\u001b[0m: \u001b[1;36m1\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[1;36m7.0\u001b[0m, \u001b[1;36m1.0\u001b[0m, \u001b[1;36m0.0\u001b[0m, \u001b[1;36m0.0\u001b[0m, \u001b[1;36m0.0\u001b[0m\u001b[1m)\u001b[0m: \u001b[1;36m1\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[1;36m8.0\u001b[0m, \u001b[1;36m0.0\u001b[0m, \u001b[1;36m0.0\u001b[0m, \u001b[1;36m0.0\u001b[0m, \u001b[1;36m0.0\u001b[0m\u001b[1m)\u001b[0m: \u001b[1;36m1\u001b[0m\n",
        "\u001b[1m}\u001b[0m\n"
       ]
      },
@@ -463,11 +1657,11 @@
     {
      "data": {
       "text/html": [
-       "
We have a total of 12111 distinct 1CP.\n",
+       "
We have a total of 10375 distinct 1CP.\n",
        "
\n"
       ],
       "text/plain": [
-       "We have a total of \u001b[1;36m12111\u001b[0m distinct 1CP.\n"
+       "We have a total of \u001b[1;36m10375\u001b[0m distinct 1CP.\n"
       ]
      },
      "metadata": {},
@@ -476,7 +1670,7 @@
    ],
    "source": [
     "# Obtaining the ML pattern inventory\n",
-    "df = pd.read_pickle(\"data/synthetic/outputs/df_fcc.pkl\")\n",
+    "df = pd.read_pickle(\"data/synthetic/outputs/df_bcc.pkl\")\n",
     "\n",
     "shell_concentrations, counts = (\n",
     "    np.array(list(df.shell_concentration)),\n",
@@ -504,7 +1698,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -512,11 +1706,11 @@
     "from _frameworks import MonteCarloChemicalMotifIdentifier\n",
     "\n",
     "dump_files = [\n",
-    "    f\"data/inputs_doi-10.48550-arXiv.2311.01545/dumps/ordered_relaxation_20_{i}_300K.dump\"\n",
+    "    f\"data/inputs_doi-TBD/dumps/ordered_relaxation_{i}_300K.dump\"\n",
     "    for i in range(1, 5 + 1)\n",
     "]\n",
     "\n",
-    "eca = MonteCarloChemicalMotifIdentifier(crystal_structure=\"fcc\")\n",
+    "eca = MonteCarloChemicalMotifIdentifier(crystal_structure=\"bcc\")\n",
     "df = eca.predict(root=\"data/mc/outputs/eca_id/300K/\", dump_file=dump_files)\n",
     "kl = eca.get_kl(df)\n",
     "df.to_pickle(\"data/mc/outputs/eca_id/300K/df_microstates.pkl\")"
@@ -531,12 +1725,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "
"
       ]
@@ -546,7 +1740,7 @@
     },
     {
      "data": {
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",
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",
       "text/plain": [
        "
"
       ]
@@ -558,10 +1752,15 @@
    "source": [
     "from chemicalmotifidentifier import Plot\n",
     "plot = Plot(\n",
-    "    structure=\"fcc\",\n",
-    "    graph_folder=\"data/inputs_doi-10.48550-arXiv.2311.01545/graph_plot_templates\",\n",
+    "    structure=\"bcc\",\n",
+    "    graph_folder=\"data/inputs_doi-TBD/graph_plot_templates/\",\n",
     ")\n",
-    "plot.set_colors(np.array([\"#FED700\", \"#21B0FE\", \"#FE218B\"]))\n",
+    "plot.set_colors(np.array([\n",
+    "            \"#FED700\",\n",
+    "            \"#21B0FE\",\n",
+    "            \"#FE218B\",\n",
+    "            \"#90C47F\",\n",
+    "        ]))\n",
     "plot.set_node_size(4)\n",
     "plot.set_width(0.2)\n",
     "\n",
@@ -579,25 +1778,25 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": 16,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
-       "
The dissimilarity between these two motifs is: 0.15.\n",
+       "
The dissimilarity between these two motifs is: 0.08.\n",
        "\n",
        "Before weighthing based on the number of bonds of each structure, they have a central atom dissimilarity of 0.00 \n",
-       "since their central atom atomic types are the same. Their chemical composition dissimilarity is of 1.00/12 because \n",
-       "only two atoms are swapped. And their structural dissimilarity is of 0.28.\n",
+       "since their central atom atomic types are the same. Their chemical composition dissimilarity is of 1.00/8 because \n",
+       "only two atoms are swapped. And their structural dissimilarity is of 0.09.\n",
        "
\n"
       ],
       "text/plain": [
-       "The dissimilarity between these two motifs is: \u001b[1;36m0.15\u001b[0m.\n",
+       "The dissimilarity between these two motifs is: \u001b[1;36m0.08\u001b[0m.\n",
        "\n",
        "Before weighthing based on the number of bonds of each structure, they have a central atom dissimilarity of \u001b[1;36m0.00\u001b[0m \n",
-       "since their central atom atomic types are the same. Their chemical composition dissimilarity is of \u001b[1;36m1.00\u001b[0m/\u001b[1;36m12\u001b[0m because \n",
-       "only two atoms are swapped. And their structural dissimilarity is of \u001b[1;36m0.28\u001b[0m.\n"
+       "since their central atom atomic types are the same. Their chemical composition dissimilarity is of \u001b[1;36m1.00\u001b[0m/\u001b[1;36m8\u001b[0m because \n",
+       "only two atoms are swapped. And their structural dissimilarity is of \u001b[1;36m0.09\u001b[0m.\n"
       ]
      },
      "metadata": {},
@@ -614,18 +1813,18 @@
     "    central_atom_dissim,\n",
     "    concentration_dissim,\n",
     "    structural_dissim,\n",
-    ") = Dissimilarity().get_separate_dissimilarities(3, phys_emb_j, phys_emb_i)\n",
+    ") = Dissimilarity().get_separate_dissimilarities(5, phys_emb_j, phys_emb_i)\n",
     "\n",
-    "weights = np.array([12.0, 24.0, 24.0])\n",
+    "weights = np.array([8.0, 12.0, 12.0])\n",
     "weights *= 1 / np.sum(weights)\n",
     "d_ij = (\n",
     "    weights[0] * central_atom_dissim\n",
-    "    + weights[1] * concentration_dissim / 12\n",
+    "    + weights[1] * concentration_dissim / 8\n",
     "    + weights[2] * structural_dissim\n",
     ")\n",
     "\n",
     "\n",
-    "print(f\"The dissimilarity between these two motifs is: {d_ij[0]:.2f}.\\n\\nBefore weighthing based on the number of bonds of each structure, they have a central atom dissimilarity of {central_atom_dissim[0]:.2f} since their central atom atomic types are the same. Their chemical composition dissimilarity is of {concentration_dissim[0]:.2f}/12 because only two atoms are swapped. And their structural dissimilarity is of {structural_dissim[0]:.2f}.\")"
+    "print(f\"The dissimilarity between these two motifs is: {d_ij[0]:.2f}.\\n\\nBefore weighthing based on the number of bonds of each structure, they have a central atom dissimilarity of {central_atom_dissim[0]:.2f} since their central atom atomic types are the same. Their chemical composition dissimilarity is of {concentration_dissim[0]:.2f}/8 because only two atoms are swapped. And their structural dissimilarity is of {structural_dissim[0]:.2f}.\")"
    ]
   }
  ],