From 0bf342800b919d73da297f4711cddf5c1e55d022 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Jan=20Jan=C3=9Fen?= Date: Thu, 3 Oct 2024 12:41:06 +0200 Subject: [PATCH] Add unittests --- .ci_support/environment-notebooks.yml | 9 + .ci_support/environment.yml | 5 + .github/workflows/integration.yml | 29 + .github/workflows/unittests.yml | 28 + notebooks/lammps.ipynb | 427 +++++++++++ notebooks/sphinxdft.ipynb | 507 +++++++++++++ tests/__init__.py | 0 tests/convert.py | 985 ++++++++++++++++++++++++++ tests/static/lmp.h5 | Bin 0 -> 30866682 bytes tests/static/sx.h5 | Bin 0 -> 486439 bytes tests/static/vasp.h5 | Bin 0 -> 576494 bytes tests/test_pyiron_atomistics.py | 67 ++ 12 files changed, 2057 insertions(+) create mode 100644 .ci_support/environment-notebooks.yml create mode 100644 .ci_support/environment.yml create mode 100644 .github/workflows/integration.yml create mode 100644 .github/workflows/unittests.yml create mode 100644 notebooks/lammps.ipynb create mode 100644 notebooks/sphinxdft.ipynb create mode 100644 tests/__init__.py create mode 100644 tests/convert.py create mode 100644 tests/static/lmp.h5 create mode 100644 tests/static/sx.h5 create mode 100644 tests/static/vasp.h5 create mode 100644 tests/test_pyiron_atomistics.py diff --git a/.ci_support/environment-notebooks.yml b/.ci_support/environment-notebooks.yml new file mode 100644 index 0000000..06fa42c --- /dev/null +++ b/.ci_support/environment-notebooks.yml @@ -0,0 +1,9 @@ +channels: +- conda-forge +dependencies: +- jupyter +- papermill +- pyiron-data =0.0.30 +- pyiron_atomistics =0.6.13 +- lammps =2024.02.07=*_openmpi_* +- sphinxdft =3.1 diff --git a/.ci_support/environment.yml b/.ci_support/environment.yml new file mode 100644 index 0000000..d10a1a1 --- /dev/null +++ b/.ci_support/environment.yml @@ -0,0 +1,5 @@ +channels: +- conda-forge +dependencies: +- h5io_browser =0.1.2 +- pint =0.24.3 diff --git a/.github/workflows/integration.yml b/.github/workflows/integration.yml new file mode 100644 index 0000000..86b0384 --- /dev/null +++ b/.github/workflows/integration.yml @@ -0,0 +1,29 @@ +name: Integrationtests + +on: + push: + branches: [ main ] + pull_request: + +jobs: + build: + runs-on: ubuntu-latest + steps: + - uses: actions/checkout@v4 + - name: Conda config + shell: bash -l {0} + run: echo -e "channels:\n - conda-forge\n" > .condarc + - name: Setup Mambaforge + uses: conda-incubator/setup-miniconda@v3 + with: + python-version: "3.12" + miniforge-version: latest + condarc-file: .condarc + environment-file: .ci_support/environment-notebooks.yml + - name: Test + shell: bash -l {0} + timeout-minutes: 5 + run: | + pip install . + papermill notebooks/lammps.ipynb lammps_out.ipynb -k python3 + papermill notebooks/sphinxdft.ipynb sphinxdft_out.ipynb -k python3 diff --git a/.github/workflows/unittests.yml b/.github/workflows/unittests.yml new file mode 100644 index 0000000..863b6db --- /dev/null +++ b/.github/workflows/unittests.yml @@ -0,0 +1,28 @@ +name: Unittests + +on: + push: + branches: [ main ] + pull_request: + +jobs: + build: + runs-on: ubuntu-latest + steps: + - uses: actions/checkout@v4 + - name: Conda config + shell: bash -l {0} + run: echo -e "channels:\n - conda-forge\n" > .condarc + - name: Setup Mambaforge + uses: conda-incubator/setup-miniconda@v3 + with: + python-version: "3.12" + miniforge-version: latest + condarc-file: .condarc + environment-file: .ci_support/environment.yml + - name: Test + shell: bash -l {0} + timeout-minutes: 5 + run: | + pip install . + python -m unittest discover tests diff --git a/notebooks/lammps.ipynb b/notebooks/lammps.ipynb new file mode 100644 index 0000000..a82a069 --- /dev/null +++ b/notebooks/lammps.ipynb @@ -0,0 +1,427 @@ +{ + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "name": "python", + "version": "3.10.14", + "mimetype": "text/x-python", + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "pygments_lexer": "ipython3", + "nbconvert_exporter": "python", + "file_extension": ".py" + } + }, + "nbformat_minor": 5, + "nbformat": 4, + "cells": [ + { + "id": "8c0bad64-faf8-4a5d-ae50-b9044d7ef20c", + "cell_type": "markdown", + "source": "# Functions and Imports - no pyiron dependence", + "metadata": {} + }, + { + "id": "28a9f0ec", + "cell_type": "code", + "source": [ + "from h5io_browser.base import read_dict_from_hdf, list_hdf, write_dict_to_hdf\n", + "import os" + ], + "metadata": { + "trusted": true + }, + "outputs": [], + "execution_count": 1 + }, + { + "id": "bdf5f095-968f-4da6-b271-e3220683441c", + "cell_type": "code", + "source": "from pyiron_io import convert_lammps_job_dict", + "metadata": { + "trusted": true + }, + "outputs": [], + "execution_count": 2 + }, + { + "id": "29298d61-4d86-4392-8e01-60fd7f8bc364", + "cell_type": "code", + "source": "def get_node_from_job_dict(job_dict, node):\n node_name_lst = node.split(\"/\")\n tmp_dict = job_dict\n for group in node_name_lst:\n tmp_dict = tmp_dict[group]\n return tmp_dict", + "metadata": { + "trusted": true + }, + "outputs": [], + "execution_count": 3 + }, + { + "id": "c14198a4-2324-4bb6-bff8-fcc5818dcdfc", + "cell_type": "markdown", + "source": "# Create LAMMPS job", + "metadata": {} + }, + { + "id": "ffd464bb", + "cell_type": "code", + "source": "from pyiron_atomistics import Project", + "metadata": { + "trusted": true + }, + "outputs": [], + "execution_count": 4 + }, + { + "id": "0d95fc61", + "cell_type": "code", + "source": "pr = Project(\"test\")", + "metadata": { + "trusted": true + }, + "outputs": [], + "execution_count": 5 + }, + { + "id": "64427095", + "cell_type": "code", + "source": "pr.remove_jobs(recursive=True, silently=True)", + "metadata": { + "trusted": true + }, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": "0it [00:00, ?it/s]", + "application/vnd.jupyter.widget-view+json": { + "version_major": 2, + "version_minor": 0, + "model_id": "3726dc66f51b4d068f5a8cd33a7d3709" + } + }, + "metadata": {} + } + ], + "execution_count": 6 + }, + { + "id": "09b53d07", + "cell_type": "code", + "source": "structure = pr.create.structure.ase.bulk(\"Al\", cubic=True)", + "metadata": { + "trusted": true + }, + "outputs": [], + "execution_count": 7 + }, + { + "id": "264e6228", + "cell_type": "code", + "source": "structure.set_repeat([9,9,9])", + "metadata": { + "trusted": true + }, + "outputs": [ + { + "name": "stderr", + "text": "/tmp/ipykernel_834/461746984.py:1: DeprecationWarning: pyiron_atomistics.atomistics.structure.atoms.set_repeat is deprecated: Use Atoms.repeat.\n structure.set_repeat([9,9,9])\n", + "output_type": "stream" + } + ], + "execution_count": 8 + }, + { + "id": "c2be1def", + "cell_type": "code", + "source": "len(structure)", + "metadata": { + "trusted": true + }, + "outputs": [ + { + "execution_count": 9, + "output_type": "execute_result", + "data": { + "text/plain": "2916" + }, + "metadata": {} + } + ], + "execution_count": 9 + }, + { + "id": "e26dd327", + "cell_type": "code", + "source": "job = pr.create.job.Lammps(\"lmp\")", + "metadata": { + "trusted": true + }, + "outputs": [], + "execution_count": 10 + }, + { + "id": "f29a4da4", + "cell_type": "code", + "source": "job.structure =structure", + "metadata": { + "trusted": true + }, + "outputs": [], + "execution_count": 11 + }, + { + "id": "b5e9c630", + "cell_type": "code", + "source": "job.potential = '2002--Mishin-Y--Ni-Al--LAMMPS--ipr1'", + "metadata": { + "trusted": true + }, + "outputs": [], + "execution_count": 12 + }, + { + "id": "d3dad632", + "cell_type": "code", + "source": "job.calc_md(n_ionic_steps=1000, n_print=10, temperature=500.0)", + "metadata": { + "trusted": true + }, + "outputs": [], + "execution_count": 13 + }, + { + "id": "97a17236", + "cell_type": "code", + "source": "job.run()", + "metadata": { + "trusted": true + }, + "outputs": [ + { + "name": "stdout", + "text": "The job lmp was saved and received the ID: 1\n", + "output_type": "stream" + } + ], + "execution_count": 14 + }, + { + "id": "f2ee05b2-b077-4d3a-a90c-84c82b1f33ff", + "cell_type": "markdown", + "source": "# Read job dictionary", + "metadata": {} + }, + { + "id": "466a6a56-9433-49af-b1f2-30ce67715cc5", + "cell_type": "code", + "source": [ + "job_dict = read_dict_from_hdf(\n", + " file_name=job.project_hdf5.file_name,\n", + " h5_path=\"/\",\n", + " recursive=True,\n", + " slash='ignore',\n", + ")" + ], + "metadata": { + "trusted": true + }, + "outputs": [], + "execution_count": 15 + }, + { + "id": "321a8031-a7c8-45f7-97d6-154ec3b8bc40", + "cell_type": "markdown", + "source": "# Dataclasses", + "metadata": {} + }, + { + "id": "b93bb423-4418-42a8-801d-bce647815aaf", + "cell_type": "code", + "source": "convert_lammps_job_dict(job_dict[job.job_name])", + "metadata": { + "trusted": true + }, + "outputs": [ + { + "execution_count": 16, + "output_type": "execute_result", + "data": { + "text/plain": "LammpsJob(calculation_input=LammpsInput(generic_dict=GenericDict(restart_file_list=[], restart_file_dict={}, exclude_nodes_hdf=[], exclude_groups_hdf=[]), interactive=Interactive(interactive_flush_frequency=10000, interactive_write_frequency=10000), generic=GenericInput(calc_mode='md', structure='atoms', fix_symmetry=None, k_mesh_spacing=None, k_mesh_center_shift=None, reduce_kpoint_symmetry=None, restart_for_band_structure=None, path_name=None, n_path=None, fix_spin_constraint=None, max_iter=None, temperature=500.0, n_ionic_steps=1000, n_print=10, temperature_damping_timescale=100.0, pressure_damping_timescale=1000.0, time_step=1), structure=Structure(dimension=3, indices=array([0, 0, 0, ..., 0, 0, 0]), info={}, positions=array([[ 0. , 0. , 0. ],\n [ 0. , 2.025, 2.025],\n [ 2.025, 0. , 2.025],\n ...,\n [32.4 , 34.425, 34.425],\n [34.425, 32.4 , 34.425],\n [34.425, 34.425, 32.4 ]]), species=['Al'], cell=Cell(cell=array([[36.45, 0. , 0. ],\n [ 0. , 36.45, 0. ],\n [ 0. , 0. , 36.45]]), pbc=array([ True, True, True])), units=Units(length='A', mass='u')), potential=LammpsPotential(citation=\"[{'Mishin_2002': {'title': 'Embedded-atom potential for B2-NiAl', 'journal': 'Physical Review B', 'volume': '65', 'pages': '224114', 'number': '22', 'doi': '10.1103/physrevb.65.224114', 'publisher': 'American Physical Society (APS)', 'url': 'https://doi.org/10.1103%2Fphysrevb.65.224114', 'year': '2002', 'author': ['Y. Mishin', 'M. J. Mehl', 'D. A. Papaconstantopoulos']}}]\", config=['pair_style eam/alloy\\n', 'pair_coeff * * NiAl02.eam.alloy Ni Al\\n'], filename=['potential_LAMMPS/2002--Mishin-Y--Ni-Al--LAMMPS--ipr1/NiAl02.eam.alloy'], model='NISTiprpy', name='2002--Mishin-Y--Ni-Al--LAMMPS--ipr1', species=['Ni', 'Al']), input_files=LammpsInputFiles(control_inp='units metal\\ndimension 3\\nboundary p p p\\natom_style atomic\\nread_data structure.inp\\ninclude potential.inp\\nfix ensemble all nvt temp 500.0 500.0 0.1\\nvariable dumptime equal 10 \\nvariable thermotime equal 10 \\ntimestep 0.001\\nvelocity all create 1000.0 61040 dist gaussian\\ndump 1 all custom ${dumptime} dump.out id type xsu ysu zsu fx fy fz vx vy vz\\ndump_modify 1 sort id format line \"%d %d %20.15g %20.15g %20.15g %20.15g %20.15g %20.15g %20.15g %20.15g %20.15g\"\\nthermo_style custom step temp pe etotal pxx pxy pxz pyy pyz pzz vol\\nthermo_modify format float %20.15g\\nthermo ${thermotime}\\nrun 1000', potential_inp='pair_style eam/alloy\\npair_coeff * * NiAl02.eam.alloy Ni Al')), executable=Executable(version='2020.03.03', name='lammps', operation_system_nt=False, executable=None, mpi=False, accepted_return_codes=[0]), server=Server(user='pyiron', host='jupyter-pyiron-2ddev-2dpyiron-2dhdf5-2dformat-2dhrkn2dg5', run_mode='modal', queue=None, qid=None, cores=1, threads=1, new_h5=True, structure_id=None, run_time=None, memory_limit=None, accept_crash=False), calculation_output=LammpsOutput(generic=GenericOutput(cells=, energy_pot=, energy_tot=, forces=, indices=array([[0, 0, 0, ..., 0, 0, 0],\n [0, 0, 0, ..., 0, 0, 0],\n [0, 0, 0, ..., 0, 0, 0],\n ...,\n [0, 0, 0, ..., 0, 0, 0],\n [0, 0, 0, ..., 0, 0, 0],\n [0, 0, 0, ..., 0, 0, 0]]), natoms=array([2916., 2916., 2916., 2916., 2916., 2916., 2916., 2916., 2916.,\n 2916., 2916., 2916., 2916., 2916., 2916., 2916., 2916., 2916.,\n 2916., 2916., 2916., 2916., 2916., 2916., 2916., 2916., 2916.,\n 2916., 2916., 2916., 2916., 2916., 2916., 2916., 2916., 2916.,\n 2916., 2916., 2916., 2916., 2916., 2916., 2916., 2916., 2916.,\n 2916., 2916., 2916., 2916., 2916., 2916., 2916., 2916., 2916.,\n 2916., 2916., 2916., 2916., 2916., 2916., 2916., 2916., 2916.,\n 2916., 2916., 2916., 2916., 2916., 2916., 2916., 2916., 2916.,\n 2916., 2916., 2916., 2916., 2916., 2916., 2916., 2916., 2916.,\n 2916., 2916., 2916., 2916., 2916., 2916., 2916., 2916., 2916.,\n 2916., 2916., 2916., 2916., 2916., 2916., 2916., 2916., 2916.,\n 2916., 2916.]), positions=, pressures=, steps=array([ 0, 10, 20, 30, 40, 50, 60, 70, 80, 90, 100,\n 110, 120, 130, 140, 150, 160, 170, 180, 190, 200, 210,\n 220, 230, 240, 250, 260, 270, 280, 290, 300, 310, 320,\n 330, 340, 350, 360, 370, 380, 390, 400, 410, 420, 430,\n 440, 450, 460, 470, 480, 490, 500, 510, 520, 530, 540,\n 550, 560, 570, 580, 590, 600, 610, 620, 630, 640, 650,\n 660, 670, 680, 690, 700, 710, 720, 730, 740, 750, 760,\n 770, 780, 790, 800, 810, 820, 830, 840, 850, 860, 870,\n 880, 890, 900, 910, 920, 930, 940, 950, 960, 970, 980,\n 990, 1000]), temperature=, unwrapped_positions=, velocities=, volume=, dft=None)), status='finished', job_id=1)" + }, + "metadata": {} + } + ], + "execution_count": 16 + }, + { + "id": "833b5bf1-7082-4eea-be5f-c7c29a5a8ae2", + "cell_type": "markdown", + "source": "# Get LAMMPS schema", + "metadata": {} + }, + { + "id": "59dacba5", + "cell_type": "code", + "source": "file_name = job.project_hdf5.file_name\nfile_name", + "metadata": { + "trusted": true + }, + "outputs": [ + { + "execution_count": 17, + "output_type": "execute_result", + "data": { + "text/plain": "'/home/jovyan/test/lmp.h5'" + }, + "metadata": {} + } + ], + "execution_count": 17 + }, + { + "id": "2d41032f-cc33-4340-84f8-2d22ff30acc5", + "cell_type": "code", + "source": "node_lst = list_hdf(file_name=file_name, h5_path=\"/\", recursive=True)[0]\nnode_lst", + "metadata": { + "trusted": true + }, + "outputs": [ + { + "execution_count": 18, + "output_type": "execute_result", + "data": { + "text/plain": "['/lmp/DICT_VERSION',\n '/lmp/HDF_VERSION',\n '/lmp/NAME',\n '/lmp/OBJECT',\n '/lmp/TYPE',\n '/lmp/VERSION',\n '/lmp/executable',\n '/lmp/job_id',\n '/lmp/server',\n '/lmp/status',\n '/lmp/input/generic_dict',\n '/lmp/input/interactive',\n '/lmp/input/control_inp/DICT_VERSION',\n '/lmp/input/control_inp/NAME',\n '/lmp/input/control_inp/OBJECT',\n '/lmp/input/control_inp/TYPE',\n '/lmp/input/control_inp/VERSION',\n '/lmp/input/control_inp/data_dict',\n '/lmp/input/generic/DICT_VERSION',\n '/lmp/input/generic/NAME',\n '/lmp/input/generic/OBJECT',\n '/lmp/input/generic/TYPE',\n '/lmp/input/generic/VERSION',\n '/lmp/input/generic/data_dict',\n '/lmp/input/potential_inp/DICT_VERSION',\n '/lmp/input/potential_inp/NAME',\n '/lmp/input/potential_inp/OBJECT',\n '/lmp/input/potential_inp/TYPE',\n '/lmp/input/potential_inp/VERSION',\n '/lmp/input/potential_inp/data_dict',\n '/lmp/input/potential_inp/potential/Citations',\n '/lmp/input/potential_inp/potential/Config',\n '/lmp/input/potential_inp/potential/Filename',\n '/lmp/input/potential_inp/potential/Model',\n '/lmp/input/potential_inp/potential/Name',\n '/lmp/input/potential_inp/potential/Species',\n '/lmp/input/structure/TYPE',\n '/lmp/input/structure/dimension',\n '/lmp/input/structure/indices',\n '/lmp/input/structure/info',\n '/lmp/input/structure/positions',\n '/lmp/input/structure/species',\n '/lmp/input/structure/units',\n '/lmp/input/structure/cell/cell',\n '/lmp/input/structure/cell/pbc',\n '/lmp/output/generic/cells',\n '/lmp/output/generic/energy_pot',\n '/lmp/output/generic/energy_tot',\n '/lmp/output/generic/forces',\n '/lmp/output/generic/indices',\n '/lmp/output/generic/natoms',\n '/lmp/output/generic/positions',\n '/lmp/output/generic/pressures',\n '/lmp/output/generic/steps',\n '/lmp/output/generic/temperature',\n '/lmp/output/generic/unwrapped_positions',\n '/lmp/output/generic/velocities',\n '/lmp/output/generic/volume',\n '/lmp/output/structure/TYPE',\n '/lmp/output/structure/dimension',\n '/lmp/output/structure/indices',\n '/lmp/output/structure/info',\n '/lmp/output/structure/positions',\n '/lmp/output/structure/species',\n '/lmp/output/structure/units',\n '/lmp/output/structure/cell/cell',\n '/lmp/output/structure/cell/pbc']" + }, + "metadata": {} + } + ], + "execution_count": 18 + }, + { + "id": "665bf1f4-f4b1-4e7f-a2bf-a1c4216ad5f3", + "cell_type": "markdown", + "source": "# Write LAMMPS job", + "metadata": {} + }, + { + "id": "c338fd0c-ff15-45d7-8227-bbe82117ca15", + "cell_type": "code", + "source": "node_dict = {node: get_node_from_job_dict(job_dict=job_dict, node=node[1:]) for node in node_lst}", + "metadata": { + "trusted": true + }, + "outputs": [], + "execution_count": 19 + }, + { + "id": "12320454-cbbc-4fbe-936b-a15e8c2dd744", + "cell_type": "code", + "source": "os.remove(file_name)", + "metadata": { + "trusted": true + }, + "outputs": [], + "execution_count": 20 + }, + { + "id": "989f77eb", + "cell_type": "code", + "source": "write_dict_to_hdf(file_name=file_name, data_dict=node_dict)", + "metadata": { + "trusted": true + }, + "outputs": [], + "execution_count": 21 + }, + { + "id": "dbb0c2c1-1873-4a6a-8419-119bd51a4684", + "cell_type": "markdown", + "source": "# Reload job", + "metadata": {} + }, + { + "id": "cb00164e-25a4-4d0d-87bc-7ee9d14422f6", + "cell_type": "code", + "source": "job = pr.load(job.job_name)", + "metadata": { + "trusted": true + }, + "outputs": [], + "execution_count": 22 + }, + { + "id": "8497be06-dd2c-446e-9f3f-7ea89e0aed4d", + "cell_type": "code", + "source": "job.input.control", + "metadata": { + "trusted": true + }, + "outputs": [ + { + "execution_count": 23, + "output_type": "execute_result", + "data": { + "text/plain": " Parameter \\\n0 units \n1 dimension \n2 boundary \n3 atom_style \n4 read_data \n5 include \n6 fix___ensemble \n7 variable___dumptime \n8 variable___thermotime \n9 timestep \n10 velocity \n11 dump___1 \n12 dump_modify___1 \n13 thermo_style \n14 thermo_modify \n15 thermo \n16 run \n\n Value \\\n0 metal \n1 3 \n2 p p p \n3 atomic \n4 structure.inp \n5 potential.inp \n6 all nvt temp 500.0 500.0 0.1 \n7 equal 10 \n8 equal 10 \n9 0.001 \n10 all create 1000.0 61040 dist gaussian \n11 all custom ${dumptime} dump.out id type xsu ysu zsu fx fy fz vx vy vz \n12 sort id format line \"%d %d %20.15g %20.15g %20.15g %20.15g %20.15g %20.15g %20.15g %20.15g %20.15g\" \n13 custom step temp pe etotal pxx pxy pxz pyy pyz pzz vol \n14 format float %20.15g \n15 ${thermotime} \n16 1000 \n\n Comment \n0 \n1 \n2 \n3 \n4 \n5 \n6 \n7 \n8 \n9 \n10 \n11 \n12 \n13 \n14 \n15 \n16 ", + "text/html": "
\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
ParameterValueComment
0unitsmetal
1dimension3
2boundaryp p p
3atom_styleatomic
4read_datastructure.inp
5includepotential.inp
6fix___ensembleall nvt temp 500.0 500.0 0.1
7variable___dumptimeequal 10
8variable___thermotimeequal 10
9timestep0.001
10velocityall create 1000.0 61040 dist gaussian
11dump___1all custom ${dumptime} dump.out id type xsu ysu zsu fx fy fz vx vy vz
12dump_modify___1sort id format line \"%d %d %20.15g %20.15g %20.15g %20.15g %20.15g %20.15g %20.15g %20.15g %20.15g\"
13thermo_stylecustom step temp pe etotal pxx pxy pxz pyy pyz pzz vol
14thermo_modifyformat float %20.15g
15thermo${thermotime}
16run1000
\n
" + }, + "metadata": {} + } + ], + "execution_count": 23 + }, + { + "id": "b0eb0a68-29c5-4eea-bfaf-ff59a9ee505d", + "cell_type": "code", + "source": "job.input.potential", + "metadata": { + "trusted": true + }, + "outputs": [ + { + "execution_count": 24, + "output_type": "execute_result", + "data": { + "text/plain": " Parameter Value Comment\n0 pair_style eam/alloy \n1 pair_coeff * * NiAl02.eam.alloy Ni Al ", + "text/html": "
\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
ParameterValueComment
0pair_styleeam/alloy
1pair_coeff* * NiAl02.eam.alloy Ni Al
\n
" + }, + "metadata": {} + } + ], + "execution_count": 24 + }, + { + "id": "dccb5f83-7df1-4496-a8ce-a931738b1a7a", + "cell_type": "code", + "source": "job.output.energy_tot", + "metadata": { + "trusted": true + }, + "outputs": [ + { + "execution_count": 25, + "output_type": "execute_result", + "data": { + "text/plain": "array([-9427.29630088, -9430.14696684, -9432.82349157, -9433.14423094,\n -9432.46197988, -9431.11779442, -9429.84887403, -9428.59786876,\n -9427.38813359, -9426.70956719, -9426.59728248, -9426.49789307,\n -9426.12272411, -9425.59921798, -9425.20912449, -9424.90209584,\n -9424.49520497, -9423.99938741, -9423.57006459, -9423.24848256,\n -9422.96494608, -9422.73886581, -9422.67498343, -9422.7595396 ,\n -9422.83422591, -9422.80728218, -9422.74305075, -9422.77967415,\n -9422.94528544, -9423.13258663, -9423.2946694 , -9423.5107131 ,\n -9423.84002756, -9424.21163482, -9424.54837222, -9424.86419284,\n -9425.20921977, -9425.60463137, -9426.04263383, -9426.51076414,\n -9427.00943396, -9427.53249825, -9428.0367887 , -9428.46758844,\n -9428.83561118, -9429.21325813, -9429.67512814, -9430.21492958,\n -9430.73337493, -9431.12233644, -9431.37229576, -9431.54923363,\n -9431.70507951, -9431.83867285, -9431.96559155, -9432.12935211,\n -9432.32782949, -9432.50022218, -9432.56929247, -9432.46965105,\n -9432.17453759, -9431.73757478, -9431.29589688, -9430.96775402,\n -9430.73411841, -9430.48549004, -9430.13305421, -9429.65825193,\n -9429.08087121, -9428.4381376 , -9427.78194397, -9427.19231664,\n -9426.7309528 , -9426.36283953, -9425.98788448, -9425.55230078,\n -9425.08847262, -9424.65426088, -9424.25553538, -9423.86590764,\n -9423.51500222, -9423.27611974, -9423.17160248, -9423.15605392,\n -9423.21983895, -9423.38146456, -9423.599644 , -9423.80261812,\n -9423.984236 , -9424.18422617, -9424.4165587 , -9424.65943597,\n -9424.9117689 , -9425.19679182, -9425.51472865, -9425.83051291,\n -9426.15521196, -9426.56256895, -9427.10480065, -9427.7480472 ,\n -9428.45286562])" + }, + "metadata": {} + } + ], + "execution_count": 25 + }, + { + "id": "a464f844-7b5f-41dc-9809-998e55b49d2b", + "cell_type": "code", + "source": "", + "metadata": { + "trusted": true + }, + "outputs": [], + "execution_count": null + } + ] +} diff --git a/notebooks/sphinxdft.ipynb b/notebooks/sphinxdft.ipynb new file mode 100644 index 0000000..9ad91be --- /dev/null +++ b/notebooks/sphinxdft.ipynb @@ -0,0 +1,507 @@ +{ + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.14" + } + }, + "nbformat_minor": 5, + "nbformat": 4, + "cells": [ + { + "id": "8c0bad64-faf8-4a5d-ae50-b9044d7ef20c", + "cell_type": "markdown", + "source": "# Functions and Imports - no pyiron dependence", + "metadata": {} + }, + { + "id": "28a9f0ec", + "cell_type": "code", + "source": [ + "from h5io_browser.base import read_dict_from_hdf, list_hdf, write_dict_to_hdf\n", + "import os" + ], + "metadata": { + "trusted": true + }, + "outputs": [], + "execution_count": 1 + }, + { + "id": "d65123cf-f7bb-40d8-8747-44a406466b83", + "cell_type": "code", + "source": "from pyiron_io import convert_sphinx_job_dict", + "metadata": { + "trusted": true + }, + "outputs": [], + "execution_count": 2 + }, + { + "id": "476148af-a9f3-4d90-84f6-c64e661d109d", + "cell_type": "code", + "source": "def get_node_from_job_dict(job_dict, node):\n node_name_lst = node.split(\"/\")\n tmp_dict = job_dict\n for group in node_name_lst:\n tmp_dict = tmp_dict[group]\n return tmp_dict", + "metadata": { + "trusted": true + }, + "outputs": [], + "execution_count": 3 + }, + { + "id": "c14198a4-2324-4bb6-bff8-fcc5818dcdfc", + "cell_type": "markdown", + "source": "# Create SPHInX job", + "metadata": {} + }, + { + "id": "ffd464bb", + "cell_type": "code", + "source": "from pyiron_atomistics import Project", + "metadata": { + "trusted": true + }, + "outputs": [], + "execution_count": 4 + }, + { + "id": "0d95fc61", + "cell_type": "code", + "source": "pr = Project(\"test\")", + "metadata": { + "trusted": true + }, + "outputs": [], + "execution_count": 5 + }, + { + "id": "64427095", + "cell_type": "code", + "source": "pr.remove_jobs(recursive=True, silently=True)", + "metadata": { + "trusted": true + }, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": "0it [00:00, ?it/s]", + "application/vnd.jupyter.widget-view+json": { + "version_major": 2, + "version_minor": 0, + "model_id": "841e94e868374701b621113b1af8f673" + } + }, + "metadata": {} + } + ], + "execution_count": 6 + }, + { + "id": "09b53d07", + "cell_type": "code", + "source": "structure = pr.create.structure.ase.bulk(\"Al\", cubic=True)", + "metadata": { + "trusted": true + }, + "outputs": [], + "execution_count": 7 + }, + { + "id": "264e6228", + "cell_type": "code", + "source": "job = pr.create.job.Sphinx(\"sx\")", + "metadata": { + "trusted": true + }, + "outputs": [], + "execution_count": 8 + }, + { + "id": "f29a4da4", + "cell_type": "code", + "source": "job.structure =structure", + "metadata": { + "trusted": true + }, + "outputs": [], + "execution_count": 9 + }, + { + "id": "b5e9c630", + "cell_type": "code", + "source": "job.calc_minimize()", + "metadata": { + "trusted": true + }, + "outputs": [], + "execution_count": 10 + }, + { + "id": "97a17236", + "cell_type": "code", + "source": "job.run()", + "metadata": { + "trusted": true + }, + "outputs": [ + { + "name": "stdout", + "text": "The job sx was saved and received the ID: 1\n", + "output_type": "stream" + } + ], + "execution_count": 11 + }, + { + "id": "f2ee05b2-b077-4d3a-a90c-84c82b1f33ff", + "cell_type": "markdown", + "source": "# Read job dictionary", + "metadata": {} + }, + { + "id": "466a6a56-9433-49af-b1f2-30ce67715cc5", + "cell_type": "code", + "source": [ + "job_dict = read_dict_from_hdf(\n", + " file_name=job.project_hdf5.file_name,\n", + " h5_path=\"/\",\n", + " recursive=True,\n", + " slash='ignore',\n", + ")" + ], + "metadata": { + "trusted": true + }, + "outputs": [], + "execution_count": 12 + }, + { + "id": "621b2855-9551-4e8e-a416-c704d13bfe0a", + "cell_type": "code", + "source": "convert_sphinx_job_dict(job_dict[job.job_name])", + "metadata": { + "trusted": true + }, + "outputs": [ + { + "execution_count": 13, + "output_type": "execute_result", + "data": { + "text/plain": "SphinxJob(executable=Executable(version='2.6.1', name='sphinx', operation_system_nt=False, executable=None, mpi=False, accepted_return_codes=[0]), server=Server(user='pyiron', host='jupyter-pyiron-2ddev-2dpyiron-2dhdf5-2dformat-2dhrkn2dg5', run_mode='modal', queue=None, qid=None, cores=1, threads=1, new_h5=True, structure_id=None, run_time=None, memory_limit=None, accept_crash=False), calculation_input=SphinxInput(generic_dict=GenericDict(restart_file_list=[], restart_file_dict={}, exclude_nodes_hdf=[], exclude_groups_hdf=[]), interactive=Interactive(interactive_flush_frequency=1, interactive_write_frequency=1), generic=GenericInput(calc_mode='minimize', structure='atoms', fix_symmetry='True', k_mesh_spacing=None, k_mesh_center_shift=None, reduce_kpoint_symmetry=True, restart_for_band_structure=False, path_name=None, n_path=None, fix_spin_constraint=False, max_iter=None, temperature=None, n_ionic_steps=None, n_print=None, temperature_damping_timescale=None, pressure_damping_timescale=None, time_step=None), parameters=SphinxInputParameters(sphinx=SphinxInternalInput(paw_pot=PawPot(species=[Species(name='\"Al\"', pot_type='\"AtomPAW\"', element='\"Al\"', potential='\"Al_GGA.atomicdata\"')]), structure=SphinxStructure(cell=array([[7.6533908, 0. , 0. ],\n [0. , 7.6533908, 0. ],\n [0. , 0. , 7.6533908]]), species=[SphinxElement(element='\"Al\"', atom=[SphinxAtom(label='\"spin_0.0\"', coords=array([0., 0., 0.]), movable=True), SphinxAtom(label='\"spin_0.0\"', coords=array([0. , 3.8266954, 3.8266954]), movable=True), SphinxAtom(label='\"spin_0.0\"', coords=array([3.8266954, 0. , 3.8266954]), movable=True), SphinxAtom(label='\"spin_0.0\"', coords=array([3.8266954, 3.8266954, 0. ]), movable=True)])]), basis=SphinxBasis(e_cut=24.989539079445393, k_point=SphinxKpoint(coords=array([0.5, 0.5, 0.5]), weight=1, relative=True), folding=array([4, 4, 4]), save_memory=True), paw_hamilton=SphinxPawHamiltonian(number_empty_states=7, ekt=0.2, methfessel_paxton=True, xc='PBE', spin_polarized=0), initial_guess=SphinxInitialGuess(waves=SphinxWaves(paw_basis=1, lcao={}), rho=SphinxRho(atomic_orbitals=1), no_waves_storage=False), main=SphinxMain(ric_qn=SphinxRicQN(max_steps=100, max_step_length=0.18897261246257704, born_oppenheimer=BornOppenheimer(scf_diag=ScfDiag(rho_mixing=1.0, spin_mixing=1.0, delta_energy=3.674932217565499e-06, max_steps='100', preconditioner=SphinxPreConditioner(type='KERKER', scaling=1.0, spin_scaling=1.0), block_ccg={}))))), encut=340.0, kpointcoords=[0.5, 0.5, 0.5], kpointfolding=[4, 4, 4], empty_states=7, methfessel_paxton=True, sigma=0.2, xcorr='PBE', vasppot=False, e_step=100, ediff=0.0001, write_waves=True, kj_xc=False, save_memory=True, rho_mixing=1.0, spin_mixing=1.0, rho_residual_scaling=1.0, spin_residual_scaling=1.0, check_overlap=True, threads=True, use_on_the_fly_cg_optimization=True, ionic_step=100), structure=Structure(dimension=3, indices=array([0, 0, 0, 0]), info={}, positions=array([[0. , 0. , 0. ],\n [0. , 2.025, 2.025],\n [2.025, 0. , 2.025],\n [2.025, 2.025, 0. ]]), species=['Al'], cell=Cell(cell=array([[4.05, 0. , 0. ],\n [0. , 4.05, 0. ],\n [0. , 0. , 4.05]]), pbc=array([ True, True, True])), units=Units(length='A', mass='u'))), calculation_output=SphinxOutput(charge_density=SphinxOutputChargeDensity(total=array([[[0.00150861, 0.00147094, 0.00135604, ..., 0.00117422,\n 0.00135604, 0.00147094],\n [0.00147094, 0.00143289, 0.00131906, ..., 0.00114217,\n 0.00131906, 0.00143289],\n [0.00135604, 0.00131906, 0.00121272, ..., 0.00105142,\n 0.00121272, 0.00131906],\n ...,\n [0.00117422, 0.00114217, 0.00105142, ..., 0.00091228,\n 0.00105142, 0.00114217],\n [0.00135604, 0.00131906, 0.00121272, ..., 0.00105142,\n 0.00121272, 0.00131906],\n [0.00147094, 0.00143289, 0.00131906, ..., 0.00114217,\n 0.00131906, 0.00143289]],\n\n [[0.00147094, 0.00143289, 0.00131906, ..., 0.00114217,\n 0.00131906, 0.00143289],\n [0.00143289, 0.00139502, 0.00128321, ..., 0.00111136,\n 0.00128321, 0.00139502],\n [0.00131906, 0.00128321, 0.00118001, ..., 0.00102318,\n 0.00118001, 0.00128321],\n ...,\n [0.00114217, 0.00111136, 0.00102318, ..., 0.0008874 ,\n 0.00102318, 0.00111136],\n [0.00131906, 0.00128321, 0.00118001, ..., 0.00102318,\n 0.00118001, 0.00128321],\n [0.00143289, 0.00139502, 0.00128321, ..., 0.00111136,\n 0.00128321, 0.00139502]],\n\n [[0.00135604, 0.00131906, 0.00121272, ..., 0.00105142,\n 0.00121272, 0.00131906],\n [0.00131906, 0.00128321, 0.00118001, ..., 0.00102318,\n 0.00118001, 0.00128321],\n [0.00121272, 0.00118001, 0.0010853 , ..., 0.00094061,\n 0.0010853 , 0.00118001],\n ...,\n [0.00105142, 0.00102318, 0.00094061, ..., 0.00081458,\n 0.00094061, 0.00102318],\n [0.00121272, 0.00118001, 0.0010853 , ..., 0.00094061,\n 0.0010853 , 0.00118001],\n [0.00131906, 0.00128321, 0.00118001, ..., 0.00102318,\n 0.00118001, 0.00128321]],\n\n ...,\n\n [[0.00117422, 0.00114217, 0.00105142, ..., 0.00091228,\n 0.00105142, 0.00114217],\n [0.00114217, 0.00111136, 0.00102318, ..., 0.0008874 ,\n 0.00102318, 0.00111136],\n [0.00105142, 0.00102318, 0.00094061, ..., 0.00081458,\n 0.00094061, 0.00102318],\n ...,\n [0.00091228, 0.0008874 , 0.00081458, ..., 0.00070832,\n 0.00081458, 0.0008874 ],\n [0.00105142, 0.00102318, 0.00094061, ..., 0.00081458,\n 0.00094061, 0.00102318],\n [0.00114217, 0.00111136, 0.00102318, ..., 0.0008874 ,\n 0.00102318, 0.00111136]],\n\n [[0.00135604, 0.00131906, 0.00121272, ..., 0.00105142,\n 0.00121272, 0.00131906],\n [0.00131906, 0.00128321, 0.00118001, ..., 0.00102318,\n 0.00118001, 0.00128321],\n [0.00121272, 0.00118001, 0.0010853 , ..., 0.00094061,\n 0.0010853 , 0.00118001],\n ...,\n [0.00105142, 0.00102318, 0.00094061, ..., 0.00081458,\n 0.00094061, 0.00102318],\n [0.00121272, 0.00118001, 0.0010853 , ..., 0.00094061,\n 0.0010853 , 0.00118001],\n [0.00131906, 0.00128321, 0.00118001, ..., 0.00102318,\n 0.00118001, 0.00128321]],\n\n [[0.00147094, 0.00143289, 0.00131906, ..., 0.00114217,\n 0.00131906, 0.00143289],\n [0.00143289, 0.00139502, 0.00128321, ..., 0.00111136,\n 0.00128321, 0.00139502],\n [0.00131906, 0.00128321, 0.00118001, ..., 0.00102318,\n 0.00118001, 0.00128321],\n ...,\n [0.00114217, 0.00111136, 0.00102318, ..., 0.0008874 ,\n 0.00102318, 0.00111136],\n [0.00131906, 0.00128321, 0.00118001, ..., 0.00102318,\n 0.00118001, 0.00128321],\n [0.00143289, 0.00139502, 0.00128321, ..., 0.00111136,\n 0.00128321, 0.00139502]]])), electronic_structure=SphinxElectronicStructure(efermi=5.702855, eig_matrix=array([[[-5.14 , 1.4239, 1.4239, 1.4239, 5.9395, 5.9395, 5.9395,\n 7.7795, 7.7795, 7.7795, 11.4635, 11.4635, 11.4635],\n [-4.0192, -1.8032, 2.4931, 2.4931, 4.6314, 4.6314, 7.0213,\n 7.0213, 8.8036, 9.1648, 9.1648, 10.8941, 11.1662],\n [-2.9064, -0.7059, -0.7059, 1.4616, 3.5798, 5.6987, 5.6987,\n 7.8086, 8.0932, 10.1435, 10.1435, 12.2069, 13.4422],\n [-1.8011, 0.3824, 0.3824, 0.3824, 2.5575, 2.5575, 2.5575,\n 4.6931, 13.1794, 13.1794, 13.1794, 14.4334, 14.4334]]]), k_points=array([[0.1592067, 0.1592067, 0.1592067],\n [0.1592067, 0.1592067, 0.4776201],\n [0.1592067, 0.4776201, 0.4776201],\n [0.4776201, 0.4776201, 0.4776201]]), k_weights=array([0.125, 0.375, 0.375, 0.125]), occ_matrix=array([[[ 2. , 2. , 2. , 2. , -0.0704, -0.0704, -0.0704,\n 0. , 0. , 0. , 0. , 0. , 0. ],\n [ 2. , 2. , 2. , 2. , 2. , 2. , -0. ,\n -0. , 0. , 0. , 0. , 0. , 0. ],\n [ 2. , 2. , 2. , 2. , 2. , 1.0352, 1.0352,\n 0. , 0. , 0. , 0. , 0. , 0. ],\n [ 2. , 2. , 2. , 2. , 2. , 2. , 2. ,\n 2. , 0. , 0. , 0. , 0. , 0. ]]]), dos=SphinxDensityOfStates(energies='energies is not stored in SPHInX; use job.get_density_of_states instead', int_densities='int_densities is not stored in SPHInX; use job.get_density_of_states instead', tot_densities='tot_densities is not stored in SPHInX; use job.get_density_of_states instead')), electrostatic_potential=SphinxElectrostaticPotential(total=array([[[-130.0129419 , -129.70839772, -118.52928072, ...,\n -82.05071029, -118.52928072, -129.70839772],\n [-129.70839772, -127.55481586, -112.28869827, ...,\n -74.34465334, -112.28869827, -127.55481586],\n [-118.52928072, -112.28869827, -89.88977639, ...,\n -53.27368971, -89.88977639, -112.28869827],\n ...,\n [ -82.05071029, -74.34465334, -53.27368971, ...,\n -28.44967772, -53.27368971, -74.34465334],\n [-118.52928072, -112.28869827, -89.88977639, ...,\n -53.27368971, -89.88977639, -112.28869827],\n [-129.70839772, -127.55481586, -112.28869827, ...,\n -74.34465334, -112.28869827, -127.55481586]],\n\n [[-129.70839772, -127.55481586, -112.28869827, ...,\n -74.34465334, -112.28869827, -127.55481586],\n [-127.55481586, -123.76048619, -105.25937012, ...,\n -66.90580194, -105.25937012, -123.76048619],\n [-112.28869827, -105.25937012, -82.03937596, ...,\n -47.19192633, -82.03937596, -105.25937012],\n ...,\n [ -74.34465334, -66.90580194, -47.19192633, ...,\n -25.01355294, -47.19192633, -66.90580194],\n [-112.28869827, -105.25937012, -82.03937596, ...,\n -47.19192633, -82.03937596, -105.25937012],\n [-127.55481586, -123.76048619, -105.25937012, ...,\n -66.90580194, -105.25937012, -123.76048619]],\n\n [[-118.52928072, -112.28869827, -89.88977639, ...,\n -53.27368971, -89.88977639, -112.28869827],\n [-112.28869827, -105.25937012, -82.03937596, ...,\n -47.19192633, -82.03937596, -105.25937012],\n [ -89.88977639, -82.03937596, -59.83843707, ...,\n -32.29973245, -59.83843707, -82.03937596],\n ...,\n [ -53.27368971, 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array([1.48271e-06, 1.86194e-07])], dtype=object), energy_int=array([-228.75029236, -228.75029152]), computation_time=array([6.683524, 9.316789]), energy_zero=, energy_band=, electronic_entropy=array([4.47189425, 4.4719075 ]), residue=array([6.62098e-06, 1.86194e-07])))), job_id=1, status='finished')" + }, + "metadata": {} + } + ], + "execution_count": 13 + }, + { + "id": "833b5bf1-7082-4eea-be5f-c7c29a5a8ae2", + "cell_type": "markdown", + "source": "# Get SPHInX schema", + "metadata": {} + }, + { + "id": "59dacba5", + "cell_type": "code", + "source": "file_name = job.project_hdf5.file_name\nfile_name", + "metadata": { + "trusted": true + }, + "outputs": [ + { + "execution_count": 14, + "output_type": "execute_result", + "data": { + "text/plain": "'/home/jovyan/test/sx.h5'" + }, + "metadata": {} + } + ], + "execution_count": 14 + }, + { + "id": "2d41032f-cc33-4340-84f8-2d22ff30acc5", + "cell_type": "code", + "source": "node_lst = list_hdf(file_name=file_name, h5_path=\"/\", recursive=True)[0]\nnode_lst", + "metadata": { + "trusted": true + }, + "outputs": [ + { + "execution_count": 15, + "output_type": "execute_result", + "data": { + "text/plain": "['/sx/DICT_VERSION',\n '/sx/HDF_VERSION',\n '/sx/NAME',\n '/sx/OBJECT',\n '/sx/TYPE',\n '/sx/VERSION',\n '/sx/executable',\n '/sx/job_id',\n '/sx/server',\n '/sx/status',\n '/sx/input/generic_dict',\n '/sx/input/interactive',\n '/sx/input/generic/DICT_VERSION',\n '/sx/input/generic/NAME',\n '/sx/input/generic/OBJECT',\n '/sx/input/generic/TYPE',\n '/sx/input/generic/VERSION',\n '/sx/input/generic/data_dict',\n '/sx/input/parameters/CheckOverlap__index_18',\n '/sx/input/parameters/Ediff__index_10',\n '/sx/input/parameters/EmptyStates__index_4',\n '/sx/input/parameters/EnCut__index_1',\n '/sx/input/parameters/Estep__index_9',\n '/sx/input/parameters/HDF_VERSION',\n '/sx/input/parameters/Istep__index_21',\n '/sx/input/parameters/KJxc__index_12',\n '/sx/input/parameters/KpointCoords__index_2',\n 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],\n [ 2. , 2. , 2. , 2. , 2. , 2. , 2. ,\n 2. , 0. , 0. , 0. , 0. , 0. ]]])", + "bands_eigen_values": "array([[[-5.14 , 1.4238, 1.4239, 1.4239, 5.9394, 5.9395, 5.9395,\n 7.7794, 7.7795, 7.7795, 11.4633, 11.4633, 11.4635],\n [-4.0193, -1.8032, 2.4931, 2.4931, 4.6313, 4.6314, 7.0212,\n 7.0213, 8.8035, 9.1646, 9.1649, 10.894 , 11.1662],\n [-2.9064, -0.7059, -0.7059, 1.4615, 3.5798, 5.6986, 5.6987,\n 7.8085, 8.0932, 10.1434, 10.1435, 12.2068, 13.4422],\n [-1.8011, 0.3824, 0.3824, 0.3824, 2.5573, 2.5575, 2.5575,\n 4.693 , 13.1792, 13.1793, 13.1793, 14.4332, 14.4334]],\n\n [[-5.14 , 1.4239, 1.4239, 1.4239, 5.9395, 5.9395, 5.9395,\n 7.7795, 7.7795, 7.7795, 11.4635, 11.4635, 11.4635],\n [-4.0192, -1.8032, 2.4931, 2.4931, 4.6314, 4.6314, 7.0213,\n 7.0213, 8.8036, 9.1648, 9.1648, 10.8941, 11.1662],\n [-2.9064, -0.7059, -0.7059, 1.4616, 3.5798, 5.6987, 5.6987,\n 7.8086, 8.0932, 10.1435, 10.1435, 12.2069, 13.4422],\n [-1.8011, 0.3824, 0.3824, 0.3824, 2.5575, 2.5575, 2.5575,\n 4.6931, 13.1794, 13.1794, 13.1794, 14.4334, 14.4334]]])", + "scf_convergence": "[True, True]", + "scf_energy_int": "array([array([-227.76073135, -228.76487746, -228.75055037, -228.75030395,\n -228.75029236]) ,\n array([-228.75029155, -228.75029152])], dtype=object)", + "scf_energy_free": "array([array([-227.79757673, -228.79771858, -228.78341073, -228.78317077,\n -228.78316018]) ,\n array([-228.78315943, -228.78315944])], dtype=object)", + "scf_computation_time": "array([array([1.32064 , 2.660864, 3.98608 , 5.339911, 6.683524]),\n array([7.981192, 9.316789])], dtype=object)", + "scf_energy_zero": "array([array([-227.78836538, -228.7895083 , -228.77519564, -228.77495407,\n -228.77494323]) ,\n array([-228.77494246, -228.77494246])], dtype=object)", + "scf_energy_band": "array([array([15.05566482, 13.62260753, 13.80978426, 13.83579452, 13.84051221]),\n array([13.84081386, 13.84101605])], dtype=object)", + "scf_electronic_entropy": "array([array([5.01306946, 4.46826186, 4.47087874, 4.47175913, 4.47189425]),\n array([4.47190311, 4.4719075 ])], dtype=object)", + "scf_residue": "array([array([5.57072e-03, 1.65550e-03, 2.37401e-04, 4.03935e-05, 6.62098e-06]),\n array([1.48271e-06, 1.86194e-07])], dtype=object)", + "energy_int": "array([-228.75029236, -228.75029152])", + "computation_time": "array([6.683524, 9.316789])", + "energy_zero": "array([-228.77494323, -228.77494246])", + "energy_band": "array([13.84051221, 13.84101605])", + "electronic_entropy": "array([4.47189425, 4.4719075 ])", + "residue": "array([6.62098e-06, 1.86194e-07])" + }, + "positions": "array([[[ 0. , 0. , 0. ],\n [ 0. , 2.025, 2.025],\n [ 2.025, 0. , 2.025],\n [ 2.025, 2.025, 0. ]],\n\n [[ 0. , -0. , 0. ],\n [-0. , 2.025, 2.025],\n [ 2.025, 0. , 2.025],\n [ 2.025, 2.025, 0. ]]])", + "volume": "array([66.43016886, 66.43016886])", + "forces": "array([[[ 0., -0., 0.],\n [-0., 0., -0.],\n [-0., -0., -0.],\n [ 0., 0., 0.]],\n\n [[ 0., 0., 0.],\n [ 0., -0., 0.],\n [-0., 0., 0.],\n [-0., -0., 0.]]])", + "cell": "array([[[4.05, 0. , 0. ],\n [0. , 4.05, 0. ],\n [0. , 0. , 4.05]],\n\n [[4.05, 0. , 0. ],\n [0. , 4.05, 0. ],\n [0. , 0. , 4.05]]])", + "energy_tot": "array([-228.78316018, -228.78315944])", + "energy_pot": "array([-228.78316018, -228.78315944])", + "cells": "array([[[4.05, 0. , 0. ],\n [0. , 4.05, 0. ],\n [0. , 0. , 4.05]],\n\n [[4.05, 0. , 0. ],\n [0. , 4.05, 0. ],\n [0. , 0. , 4.05]]])" + } + }, + "metadata": {} + } + ], + "execution_count": 21 + }, + { + "id": "7011db5d-c324-4126-b956-5fbad85294a0", + "cell_type": "code", + "source": "", + "metadata": { + "trusted": true + }, + "outputs": [], + "execution_count": null + } + ] +} diff --git a/tests/__init__.py b/tests/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/tests/convert.py b/tests/convert.py new file mode 100644 index 0000000..1eeb10e --- /dev/null +++ b/tests/convert.py @@ -0,0 +1,985 @@ +from pint import UnitRegistry + +from pyiron_dataclasses.v1.job import ( + Executable, + Interactive, + GenericDict, + Server, +) +from pyiron_dataclasses.v1.atomistic import ( + GenericInput, + GenericOutput, + Structure, + Units, + Cell, +) +from pyiron_dataclasses.v1.dft import ( + OutputGenericDFT, + ElectronicStructure, + DensityOfStates, + ChargeDensity, +) +from pyiron_dataclasses.v1.lammps import ( + LammpsJob, + LammpsInput, + LammpsOutput, + LammpsPotential, + LammpsInputFiles, +) +from pyiron_dataclasses.v1.sphinx import ( + SphinxJob, + SphinxInput, + SphinxInputParameters, + SphinxRho, + SphinxAtom, + SphinxMain, + SphinxBasis, + SphinxWaves, + SphinxOutput, + SphinxKpoint, + SphinxElement, + SphinxStructure, + SphinxRicQN, + SphinxInternalInput, + Species, + SphinxInitialGuess, + SphinxPawHamiltonian, + SphinxPreConditioner, + SphinxElectrostaticPotential, + ScfDiag, + PawPot, + BornOppenheimer, +) +from pyiron_dataclasses.v1.vasp import ( + VaspJob, + VaspInput, + VaspOutput, + VaspResources, + PotCar, + OutCar, +) + + +def convert_sphinx_job_dict(job_dict: dict) -> SphinxJob: + ureg = UnitRegistry() + sphinx_input_parameter_dict = convert_datacontainer_to_dictionary( + data_container_dict=job_dict["input"]["parameters"] + ) + generic_input_dict = convert_generic_parameters_to_dictionary( + generic_parameter_dict=job_dict["input"]["generic"], + ) + output_dict = convert_datacontainer_to_dictionary( + data_container_dict=job_dict["output"]["generic"] + ) + return SphinxJob( + executable=Executable( + version=job_dict["executable"]["executable"]["version"], + name=job_dict["executable"]["executable"]["name"], + operation_system_nt=job_dict["executable"]["executable"][ + "operation_system_nt" + ], + executable=job_dict["executable"]["executable"]["executable"], + mpi=job_dict["executable"]["executable"]["mpi"], + accepted_return_codes=job_dict["executable"]["executable"][ + "accepted_return_codes" + ], + ), + server=Server( + user=job_dict["server"]["user"], + host=job_dict["server"]["host"], + run_mode=job_dict["server"]["run_mode"], + queue=job_dict["server"]["queue"], + qid=job_dict["server"]["qid"], + cores=job_dict["server"]["cores"], + threads=job_dict["server"]["threads"], + new_hdf=job_dict["server"]["new_h5"], + run_time=job_dict["server"]["run_time"], + memory_limit=job_dict["server"]["memory_limit"], + accept_crash=job_dict["server"]["accept_crash"], + ), + calculation_input=SphinxInput( + generic_dict=GenericDict( + restart_file_list=job_dict["input"]["generic_dict"][ + "restart_file_list" + ], + restart_file_dict=job_dict["input"]["generic_dict"][ + "restart_file_dict" + ], + exclude_nodes_hdf=job_dict["input"]["generic_dict"][ + "exclude_nodes_hdf" + ], + exclude_groups_hdf=job_dict["input"]["generic_dict"][ + "exclude_groups_hdf" + ], + ), + interactive=Interactive( + interactive_flush_frequency=job_dict["input"]["interactive"][ + "interactive_flush_frequency" + ], + interactive_write_frequency=job_dict["input"]["interactive"][ + "interactive_flush_frequency" + ], + ), + generic=GenericInput( + calc_mode=generic_input_dict["calc_mode"], + structure=generic_input_dict["structure"], + fix_symmetry=generic_input_dict.get("fix_symmetry", None), + k_mesh_spacing=generic_input_dict.get("k_mesh_spacing", None), + k_mesh_center_shift=generic_input_dict.get("k_mesh_center_shift", None), + reduce_kpoint_symmetry=generic_input_dict.get( + "reduce_kpoint_symmetry", None + ), + restart_for_band_structure=generic_input_dict.get( + "restart_for_band_structure", None + ), + path_name=generic_input_dict.get("path_name", None), + n_path=generic_input_dict.get("n_path", None), + fix_spin_constraint=generic_input_dict.get("fix_spin_constraint", None), + max_iter=generic_input_dict.get("max_iter", None), + temperature=generic_input_dict.get("temperature", None), + n_ionic_steps=generic_input_dict.get("n_ionic_steps", None), + n_print=generic_input_dict.get("n_print", None), + temperature_damping_timescale=generic_input_dict.get( + "temperature_damping_timescale", None + ), + pressure_damping_timescale=generic_input_dict.get( + "pressure_damping_timescale", None + ), + time_step=generic_input_dict.get("time_step", None), + ), + parameters=SphinxInputParameters( + sphinx=SphinxInternalInput( + paw_pot=PawPot( + species=[ + Species( + name=s["name"], + pot_type=s["potType"], + element=s["element"], + potential=s["potential"], + ) + for s in sphinx_input_parameter_dict["sphinx"]["pawPot"][ + "species" + ] + ] + ), + structure=SphinxStructure( + cell=sphinx_input_parameter_dict["sphinx"]["structure"]["cell"], + species=[ + SphinxElement( + element=s["element"], + atom=[ + SphinxAtom( + label=a["label"], + coords=a["coords"], + movable=bool(a["movable"]), + ) + for a in s["atom"] + ], + ) + for s in sphinx_input_parameter_dict["sphinx"]["structure"][ + "species" + ] + ], + ), + basis=SphinxBasis( + e_cut=sphinx_input_parameter_dict["sphinx"]["basis"]["eCut"], + k_point=SphinxKpoint( + coords=sphinx_input_parameter_dict["sphinx"]["basis"][ + "kPoint" + ]["coords"], + weight=sphinx_input_parameter_dict["sphinx"]["basis"][ + "kPoint" + ]["weight"], + relative=bool( + sphinx_input_parameter_dict["sphinx"]["basis"][ + "kPoint" + ]["relative"] + ), + ), + folding=sphinx_input_parameter_dict["sphinx"]["basis"][ + "folding" + ], + save_memory=bool( + sphinx_input_parameter_dict["sphinx"]["basis"]["saveMemory"] + ), + ), + paw_hamilton=SphinxPawHamiltonian( + number_empty_states=sphinx_input_parameter_dict["sphinx"][ + "PAWHamiltonian" + ]["nEmptyStates"], + ekt=sphinx_input_parameter_dict["sphinx"]["PAWHamiltonian"][ + "ekt" + ], + methfessel_paxton=bool( + sphinx_input_parameter_dict["sphinx"]["PAWHamiltonian"][ + "MethfesselPaxton" + ] + ), + xc=sphinx_input_parameter_dict["sphinx"]["PAWHamiltonian"][ + "xc" + ], + spin_polarized=sphinx_input_parameter_dict["sphinx"][ + "PAWHamiltonian" + ]["spinPolarized"], + ), + initial_guess=SphinxInitialGuess( + waves=SphinxWaves( + paw_basis=sphinx_input_parameter_dict["sphinx"][ + "initialGuess" + ]["waves"]["pawBasis"], + lcao=sphinx_input_parameter_dict["sphinx"]["initialGuess"][ + "waves" + ]["lcao"], + ), + rho=SphinxRho( + atomic_orbitals=sphinx_input_parameter_dict["sphinx"][ + "initialGuess" + ]["rho"]["atomicOrbitals"] + ), + no_waves_storage=bool( + sphinx_input_parameter_dict["sphinx"]["initialGuess"][ + "noWavesStorage" + ] + ), + ), + main=SphinxMain( + ric_qn=SphinxRicQN( + max_steps=int( + sphinx_input_parameter_dict["sphinx"]["main"]["ricQN"][ + "maxSteps" + ] + ), + max_step_length=float( + sphinx_input_parameter_dict["sphinx"]["main"]["ricQN"][ + "maxStepLength" + ] + ), + born_oppenheimer=BornOppenheimer( + scf_diag=ScfDiag( + rho_mixing=float( + sphinx_input_parameter_dict["sphinx"]["main"][ + "ricQN" + ]["bornOppenheimer"]["scfDiag"]["rhoMixing"] + ), + spin_mixing=float( + sphinx_input_parameter_dict["sphinx"]["main"][ + "ricQN" + ]["bornOppenheimer"]["scfDiag"]["spinMixing"] + ), + delta_energy=sphinx_input_parameter_dict["sphinx"][ + "main" + ]["ricQN"]["bornOppenheimer"]["scfDiag"]["dEnergy"], + max_steps=sphinx_input_parameter_dict["sphinx"][ + "main" + ]["ricQN"]["bornOppenheimer"]["scfDiag"][ + "maxSteps" + ], + preconditioner=SphinxPreConditioner( + type=sphinx_input_parameter_dict["sphinx"][ + "main" + ]["ricQN"]["bornOppenheimer"]["scfDiag"][ + "preconditioner" + ][ + "type" + ], + scaling=sphinx_input_parameter_dict["sphinx"][ + "main" + ]["ricQN"]["bornOppenheimer"]["scfDiag"][ + "preconditioner" + ][ + "scaling" + ], + spin_scaling=sphinx_input_parameter_dict[ + "sphinx" + ]["main"]["ricQN"]["bornOppenheimer"][ + "scfDiag" + ][ + "preconditioner" + ][ + "spinScaling" + ], + ), + block_ccg=sphinx_input_parameter_dict["sphinx"][ + "main" + ]["ricQN"]["bornOppenheimer"]["scfDiag"][ + "blockCCG" + ], + ), + ), + ), + ), + ), + encut=float(sphinx_input_parameter_dict["EnCut"]), + kpointcoords=sphinx_input_parameter_dict["KpointCoords"], + kpointfolding=sphinx_input_parameter_dict["KpointFolding"], + empty_states=int(sphinx_input_parameter_dict["EmptyStates"]), + methfessel_paxton=bool(sphinx_input_parameter_dict["MethfesselPaxton"]), + sigma=float(sphinx_input_parameter_dict["Sigma"]), + xcorr=sphinx_input_parameter_dict["Xcorr"], + vasppot=bool(sphinx_input_parameter_dict["VaspPot"]), + e_step=int(sphinx_input_parameter_dict["Estep"]), + ediff=float(sphinx_input_parameter_dict["Ediff"]), + write_waves=bool(sphinx_input_parameter_dict["WriteWaves"]), + kj_xc=bool(sphinx_input_parameter_dict["KJxc"]), + save_memory=bool(sphinx_input_parameter_dict["SaveMemory"]), + rho_mixing=float(sphinx_input_parameter_dict["rhoMixing"]), + spin_mixing=float(sphinx_input_parameter_dict["spinMixing"]), + rho_residual_scaling=float( + sphinx_input_parameter_dict["rhoResidualScaling"] + ), + spin_residual_scaling=float( + sphinx_input_parameter_dict["spinResidualScaling"] + ), + check_overlap=bool(sphinx_input_parameter_dict["CheckOverlap"]), + threads=bool(sphinx_input_parameter_dict["THREADS"]), + use_on_the_fly_cg_optimization=bool( + sphinx_input_parameter_dict["use_on_the_fly_cg_optimization"] + ), + ionic_step=int(sphinx_input_parameter_dict["Istep"]), + ), + structure=Structure( + dimension=job_dict["input"]["structure"]["dimension"], + indices=job_dict["input"]["structure"]["indices"], + info=job_dict["input"]["structure"]["info"], + positions=job_dict["input"]["structure"]["positions"], + species=job_dict["input"]["structure"]["species"], + cell=Cell( + cell=job_dict["input"]["structure"]["cell"]["cell"], + pbc=job_dict["input"]["structure"]["cell"]["pbc"], + ), + units=Units( + length=job_dict["input"]["structure"]["units"]["length"], + mass=job_dict["input"]["structure"]["units"]["mass"], + ), + ), + ), + calculation_output=SphinxOutput( + charge_density=ChargeDensity( + total=job_dict["output"]["charge_density"]["total"] + ), + electronic_structure=ElectronicStructure( + efermi=job_dict["output"]["electronic_structure"]["efermi"], + eig_matrix=job_dict["output"]["electronic_structure"]["eig_matrix"], + k_points=job_dict["output"]["electronic_structure"]["k_points"], + k_weights=job_dict["output"]["electronic_structure"]["k_weights"], + occ_matrix=job_dict["output"]["electronic_structure"]["occ_matrix"], + dos=DensityOfStates( + energies=job_dict["output"]["electronic_structure"]["dos"][ + "energies" + ], + int_densities=job_dict["output"]["electronic_structure"]["dos"][ + "int_densities" + ], + tot_densities=job_dict["output"]["electronic_structure"]["dos"][ + "tot_densities" + ], + ), + ), + electrostatic_potential=SphinxElectrostaticPotential( + total=job_dict["output"]["electrostatic_potential"]["total"] + ), + generic=GenericOutput( + cells=output_dict["cells"] * ureg.angstrom, + energy_pot=output_dict["energy_pot"] * ureg.eV, + energy_tot=output_dict["energy_tot"] * ureg.eV, + forces=output_dict["forces"] * ureg.eV / ureg.angstrom, + indices=output_dict.get("indices", None), + natoms=output_dict.get("natoms", None), + positions=output_dict["positions"] * ureg.angstrom, + pressures=output_dict.get("pressures", None), + steps=output_dict.get("steps", None), + temperature=output_dict.get("temperature", None), + unwrapped_positions=output_dict.get("unwarapped_positions", None), + velocities=output_dict.get("velocities", None), + volume=output_dict["volume"] + * ureg.angstrom + * ureg.angstrom + * ureg.angstrom, + stresses=output_dict.get("stresses", None), + elastic_constants=output_dict.get("elastic_constants", None), + dft=OutputGenericDFT( + energy_free=output_dict["dft"]["energy_free"] * ureg.eV, + n_valence=output_dict["dft"]["n_valence"], + bands_k_weights=output_dict["dft"]["bands_k_weights"], + kpoints_cartesian=output_dict["dft"]["kpoints_cartesian"], + bands_e_fermi=output_dict["dft"]["bands_e_fermi"], + bands_occ=output_dict["dft"]["bands_occ"], + bands_eigen_values=output_dict["dft"]["bands_eigen_values"], + scf_convergence=output_dict["dft"]["scf_convergence"], + scf_energy_int=output_dict["dft"]["scf_energy_int"] * ureg.eV, + scf_energy_free=output_dict["dft"]["scf_energy_free"] * ureg.eV, + scf_computation_time=output_dict["dft"]["scf_computation_time"], + scf_energy_zero=output_dict["dft"]["scf_energy_zero"], + scf_energy_band=output_dict["dft"]["scf_energy_band"], + scf_electronic_entropy=output_dict["dft"]["scf_electronic_entropy"], + scf_residue=output_dict["dft"]["scf_residue"], + energy_int=output_dict["dft"]["energy_int"], + computation_time=output_dict["dft"]["computation_time"], + energy_zero=output_dict["dft"]["energy_zero"] * ureg.eV, + energy_band=output_dict["dft"]["energy_band"] * ureg.eV, + electronic_entropy=output_dict["dft"]["electronic_entropy"], + residue=output_dict["dft"]["residue"], + cbm_list=output_dict["dft"].get("cbm_list", None), + e_fermi_list=output_dict["dft"].get("e_fermi_list", None), + final_magmoms=output_dict["dft"].get("final_magmoms", None), + magnetization=output_dict["dft"].get("magnetization", None), + n_elect=output_dict["dft"].get("n_elect", None), + potentiostat_output=output_dict["dft"].get( + "potentiostat_output", None + ), + scf_dipole_mom=output_dict["dft"].get("scf_dipole_mom", None), + valence_charges=output_dict["dft"].get("valence_charges", None), + vbm_list=output_dict["dft"].get("vbm_list", None), + bands=output_dict["dft"].get("bands", None), + ), + ), + ), + job_id=job_dict["job_id"], + status=job_dict["status"], + ) + + +def convert_lammps_job_dict(job_dict: dict) -> LammpsJob: + ureg = UnitRegistry() + generic_input_dict = convert_generic_parameters_to_dictionary( + generic_parameter_dict=job_dict["input"]["generic"], + ) + return LammpsJob( + calculation_input=LammpsInput( + generic_dict=GenericDict( + restart_file_list=job_dict["input"]["generic_dict"][ + "restart_file_list" + ], + restart_file_dict=job_dict["input"]["generic_dict"][ + "restart_file_dict" + ], + exclude_nodes_hdf=job_dict["input"]["generic_dict"][ + "exclude_nodes_hdf" + ], + exclude_groups_hdf=job_dict["input"]["generic_dict"][ + "exclude_groups_hdf" + ], + ), + interactive=Interactive( + interactive_flush_frequency=job_dict["input"]["interactive"][ + "interactive_flush_frequency" + ], + interactive_write_frequency=job_dict["input"]["interactive"][ + "interactive_flush_frequency" + ], + ), + generic=GenericInput( + calc_mode=generic_input_dict["calc_mode"], + structure=generic_input_dict["structure"], + temperature=generic_input_dict["temperature"], + n_ionic_steps=generic_input_dict["n_ionic_steps"], + n_print=generic_input_dict["n_print"], + temperature_damping_timescale=generic_input_dict[ + "temperature_damping_timescale" + ], + pressure_damping_timescale=generic_input_dict[ + "pressure_damping_timescale" + ], + time_step=generic_input_dict["time_step"], + fix_symmetry=generic_input_dict.get("fix_symmetry", None), + k_mesh_spacing=generic_input_dict.get("k_mesh_spacing", None), + k_mesh_center_shift=generic_input_dict.get("k_mesh_center_shift", None), + reduce_kpoint_symmetry=generic_input_dict.get( + "reduce_kpoint_symmetry", None + ), + restart_for_band_structure=generic_input_dict.get( + "restart_for_band_structure", None + ), + path_name=generic_input_dict.get("path_name", None), + n_path=generic_input_dict.get("n_path", None), + fix_spin_constraint=generic_input_dict.get("fix_spin_constraint", None), + max_iter=generic_input_dict.get("max_iter", None), + ), + structure=Structure( + dimension=job_dict["input"]["structure"]["dimension"], + indices=job_dict["input"]["structure"]["indices"], + info=job_dict["input"]["structure"]["info"], + positions=job_dict["input"]["structure"]["positions"], + species=job_dict["input"]["structure"]["species"], + cell=Cell( + cell=job_dict["input"]["structure"]["cell"]["cell"], + pbc=job_dict["input"]["structure"]["cell"]["pbc"], + ), + units=Units( + length=job_dict["input"]["structure"]["units"]["length"], + mass=job_dict["input"]["structure"]["units"]["mass"], + ), + ), + potential=LammpsPotential( + citation=job_dict["input"]["potential_inp"]["potential"]["Citations"], + config=job_dict["input"]["potential_inp"]["potential"]["Config"], + filename=job_dict["input"]["potential_inp"]["potential"]["Filename"], + model=job_dict["input"]["potential_inp"]["potential"]["Model"], + name=job_dict["input"]["potential_inp"]["potential"]["Name"], + species=job_dict["input"]["potential_inp"]["potential"]["Species"], + ), + input_files=LammpsInputFiles( + control_inp=convert_generic_parameters_to_string( + generic_parameter_dict=job_dict["input"]["control_inp"] + ), + potential_inp=convert_generic_parameters_to_string( + generic_parameter_dict=job_dict["input"]["potential_inp"] + ), + ), + ), + executable=Executable( + version=job_dict["executable"]["executable"]["version"], + name=job_dict["executable"]["executable"]["name"], + operation_system_nt=job_dict["executable"]["executable"][ + "operation_system_nt" + ], + executable=job_dict["executable"]["executable"]["executable"], + mpi=job_dict["executable"]["executable"]["mpi"], + accepted_return_codes=job_dict["executable"]["executable"][ + "accepted_return_codes" + ], + ), + server=Server( + user=job_dict["server"]["user"], + host=job_dict["server"]["host"], + run_mode=job_dict["server"]["run_mode"], + queue=job_dict["server"]["queue"], + qid=job_dict["server"]["qid"], + cores=job_dict["server"]["cores"], + threads=job_dict["server"]["threads"], + new_hdf=job_dict["server"]["new_h5"], + run_time=job_dict["server"]["run_time"], + memory_limit=job_dict["server"]["memory_limit"], + accept_crash=job_dict["server"]["accept_crash"], + ), + calculation_output=LammpsOutput( + generic=GenericOutput( + cells=job_dict["output"]["generic"]["cells"] * ureg.angstrom, + energy_pot=job_dict["output"]["generic"]["energy_pot"] * ureg.eV, + energy_tot=job_dict["output"]["generic"]["energy_tot"] * ureg.eV, + forces=job_dict["output"]["generic"]["forces"] + * ureg.eV + / ureg.angstrom, + indices=job_dict["output"]["generic"]["indices"], + natoms=job_dict["output"]["generic"]["natoms"], + positions=job_dict["output"]["generic"]["positions"] * ureg.angstrom, + pressures=job_dict["output"]["generic"]["pressures"] * ureg.GPa, + steps=job_dict["output"]["generic"]["steps"], + temperature=job_dict["output"]["generic"]["temperature"] * ureg.kelvin, + unwrapped_positions=job_dict["output"]["generic"]["unwrapped_positions"] + * ureg.angstrom, + velocities=job_dict["output"]["generic"]["velocities"] + * ureg.angstrom + / ureg.fs, + volume=job_dict["output"]["generic"]["volume"] + * ureg.angstrom + * ureg.angstrom + * ureg.angstrom, + dft=None, + stresses=job_dict["output"]["generic"].get("stresses", None), + elastic_constants=job_dict["output"]["generic"].get( + "elastic_constants", None + ), + ), + ), + job_id=job_dict["job_id"], + status=job_dict["status"], + ) + + +def convert_vasp_job_dict(job_dict): + ureg = UnitRegistry() + generic_input_dict = convert_generic_parameters_to_dictionary( + generic_parameter_dict=job_dict["input"]["generic"], + ) + return VaspJob( + executable=Executable( + version=job_dict["executable"]["executable"]["version"], + name=job_dict["executable"]["executable"]["name"], + operation_system_nt=job_dict["executable"]["executable"][ + "operation_system_nt" + ], + executable=job_dict["executable"]["executable"]["executable"], + mpi=job_dict["executable"]["executable"]["mpi"], + accepted_return_codes=job_dict["executable"]["executable"][ + "accepted_return_codes" + ], + ), + job_id=job_dict["job_id"], + server=Server( + user=job_dict["server"]["user"], + host=job_dict["server"]["host"], + run_mode=job_dict["server"]["run_mode"], + queue=job_dict["server"]["queue"], + qid=job_dict["server"]["qid"], + cores=job_dict["server"]["cores"], + threads=job_dict["server"]["threads"], + new_hdf=job_dict["server"]["new_h5"], + run_time=job_dict["server"]["run_time"], + memory_limit=job_dict["server"]["memory_limit"], + accept_crash=job_dict["server"]["accept_crash"], + ), + status=job_dict["status"], + calculation_input=VaspInput( + generic_dict=GenericDict( + restart_file_list=job_dict["input"]["generic_dict"][ + "restart_file_list" + ], + restart_file_dict=job_dict["input"]["generic_dict"][ + "restart_file_dict" + ], + exclude_nodes_hdf=job_dict["input"]["generic_dict"][ + "exclude_nodes_hdf" + ], + exclude_groups_hdf=job_dict["input"]["generic_dict"][ + "exclude_groups_hdf" + ], + ), + interactive=Interactive( + interactive_flush_frequency=job_dict["input"]["interactive"][ + "interactive_flush_frequency" + ], + interactive_write_frequency=job_dict["input"]["interactive"][ + "interactive_flush_frequency" + ], + ), + potential_dict=job_dict["input"]["potential_dict"], + generic=GenericInput( + calc_mode=generic_input_dict["calc_mode"], + structure=generic_input_dict["structure"], + temperature=generic_input_dict.get("temperature", None), + n_ionic_steps=generic_input_dict.get("n_ionic_steps", None), + n_print=generic_input_dict.get("n_print", None), + temperature_damping_timescale=generic_input_dict.get( + "temperature_damping_timescale", None + ), + pressure_damping_timescale=generic_input_dict.get( + "pressure_damping_timescale", None + ), + time_step=generic_input_dict.get("time_step", None), + fix_symmetry=generic_input_dict.get("fix_symmetry", None), + k_mesh_spacing=generic_input_dict.get("k_mesh_spacing", None), + k_mesh_center_shift=generic_input_dict.get("k_mesh_center_shift", None), + reduce_kpoint_symmetry=generic_input_dict.get( + "reduce_kpoint_symmetry", None + ), + restart_for_band_structure=generic_input_dict.get( + "restart_for_band_structure", None + ), + path_name=generic_input_dict.get("path_name", None), + n_path=generic_input_dict.get("n_path", None), + fix_spin_constraint=generic_input_dict.get("fix_spin_constraint", None), + max_iter=generic_input_dict.get("max_iter", None), + ), + incar=convert_generic_parameters_to_string( + generic_parameter_dict=job_dict["input"]["incar"] + ), + kpoints=convert_generic_parameters_to_string( + generic_parameter_dict=job_dict["input"]["kpoints"] + ), + potcar=PotCar( + xc=convert_generic_parameters_to_dictionary( + generic_parameter_dict=job_dict["input"]["potcar"] + )["xc"] + ), + structure=Structure( + dimension=job_dict["input"]["structure"]["dimension"], + indices=job_dict["input"]["structure"]["indices"], + info=job_dict["input"]["structure"]["info"], + positions=job_dict["input"]["structure"]["positions"], + species=job_dict["input"]["structure"]["species"], + cell=Cell( + cell=job_dict["input"]["structure"]["cell"]["cell"], + pbc=job_dict["input"]["structure"]["cell"]["pbc"], + ), + units=Units( + length=job_dict["input"]["structure"]["units"]["length"], + mass=job_dict["input"]["structure"]["units"]["mass"], + ), + ), + vasp_dict=job_dict["input"]["vasp_dict"], + ), + calculation_output=VaspOutput( + description=job_dict["output"]["description"], + charge_density=ChargeDensity( + total=job_dict["output"]["charge_density"]["total"] + ), + electronic_structure=ElectronicStructure( + efermi=job_dict["output"]["electronic_structure"]["efermi"] * ureg.eV, + eig_matrix=job_dict["output"]["electronic_structure"]["eig_matrix"], + k_points=job_dict["output"]["electronic_structure"]["k_points"], + k_weights=job_dict["output"]["electronic_structure"]["k_weights"], + occ_matrix=job_dict["output"]["electronic_structure"]["occ_matrix"], + dos=DensityOfStates( + energies=job_dict["output"]["electronic_structure"]["dos"][ + "energies" + ], + int_densities=job_dict["output"]["electronic_structure"]["dos"][ + "int_densities" + ], + tot_densities=job_dict["output"]["electronic_structure"]["dos"][ + "tot_densities" + ], + ), + ), + generic=GenericOutput( + cells=job_dict["output"]["generic"]["cells"] * ureg.angstrom, + energy_pot=job_dict["output"]["generic"]["energy_pot"] * ureg.eV, + energy_tot=job_dict["output"]["generic"]["energy_pot"] * ureg.eV, + elastic_constants=job_dict["output"]["generic"]["elastic_constants"], + forces=job_dict["output"]["generic"]["forces"] + * ureg.eV + / ureg.angstrom, + indices=job_dict["output"]["generic"].get("indices", None), + natoms=job_dict["output"]["generic"].get("natoms", None), + positions=job_dict["output"]["generic"]["positions"] * ureg.angstrom, + pressures=job_dict["output"]["generic"]["pressures"] * ureg.GPa, + steps=job_dict["output"]["generic"]["steps"], + stresses=job_dict["output"]["generic"]["stresses"], + temperature=job_dict["output"]["generic"]["temperature"] * ureg.kelvin, + unwrapped_positions=job_dict["output"]["generic"].get( + "unwrapped_positions", None + ), + velocities=job_dict["output"]["generic"].get("velocities", None), + volume=job_dict["output"]["generic"]["volume"] + * ureg.angstrom + * ureg.angstrom + * ureg.angstrom, + dft=OutputGenericDFT( + cbm_list=job_dict["output"]["generic"]["dft"]["cbm_list"], + e_fermi_list=job_dict["output"]["generic"]["dft"]["e_fermi_list"], + energy_free=job_dict["output"]["generic"]["dft"]["energy_free"] + * ureg.eV, + energy_int=job_dict["output"]["generic"]["dft"]["energy_int"] + * ureg.eV, + energy_zero=job_dict["output"]["generic"]["dft"]["energy_zero"] + * ureg.eV, + final_magmoms=job_dict["output"]["generic"]["dft"]["final_magmoms"], + magnetization=job_dict["output"]["generic"]["dft"]["magnetization"], + n_elect=job_dict["output"]["generic"]["dft"]["n_elect"], + potentiostat_output=job_dict["output"]["generic"]["dft"][ + "potentiostat_output" + ], + n_valence=job_dict["output"]["generic"]["dft"].get( + "n_valence", None + ), + bands_k_weights=job_dict["output"]["generic"]["dft"].get( + "bands_k_weights", None + ), + kpoints_cartesian=job_dict["output"]["generic"]["dft"].get( + "kpoints_cartesian", None + ), + bands_e_fermi=job_dict["output"]["generic"]["dft"].get( + "bands_e_fermi", None + ), + bands_occ=job_dict["output"]["generic"]["dft"].get( + "bands_occ", None + ), + bands_eigen_values=job_dict["output"]["generic"]["dft"].get( + "bands_eigen_values", None + ), + scf_convergence=job_dict["output"]["generic"]["dft"].get( + "scf_convergence", None + ), + scf_dipole_mom=job_dict["output"]["generic"]["dft"].get( + "scf_dipole_mom", None + ), + scf_energy_int=job_dict["output"]["generic"]["dft"][ + "scf_energy_int" + ], + scf_energy_free=job_dict["output"]["generic"]["dft"][ + "scf_energy_free" + ] + * ureg.eV, + scf_computation_time=job_dict["output"]["generic"]["dft"].get( + "scf_computation_time", None + ), + scf_energy_zero=job_dict["output"]["generic"]["dft"][ + "scf_energy_zero" + ] + * ureg.eV, + valence_charges=job_dict["output"]["generic"]["dft"][ + "valence_charges" + ] + * ureg.eV, + vbm_list=job_dict["output"]["generic"]["dft"]["vbm_list"], + bands=ElectronicStructure( + efermi=job_dict["output"]["generic"]["dft"]["bands"]["efermi"], + eig_matrix=job_dict["output"]["generic"]["dft"]["bands"][ + "eig_matrix" + ], + k_points=job_dict["output"]["generic"]["dft"]["bands"][ + "k_points" + ], + k_weights=job_dict["output"]["generic"]["dft"]["bands"][ + "k_weights" + ], + occ_matrix=job_dict["output"]["generic"]["dft"]["bands"][ + "occ_matrix" + ], + dos=DensityOfStates( + energies=job_dict["output"]["generic"]["dft"]["bands"][ + "dos" + ]["energies"], + int_densities=job_dict["output"]["generic"]["dft"]["bands"][ + "dos" + ]["int_densities"], + tot_densities=job_dict["output"]["generic"]["dft"]["bands"][ + "dos" + ]["tot_densities"], + ), + ), + scf_energy_band=job_dict["output"]["generic"]["dft"].get( + "scf_energy_band", None + ), + scf_electronic_entropy=job_dict["output"]["generic"]["dft"].get( + "scf_electronic_entropy", None + ), + scf_residue=job_dict["output"]["generic"]["dft"].get( + "scf_residue", None + ), + computation_time=job_dict["output"]["generic"]["dft"].get( + "computation_time", None + ), + energy_band=job_dict["output"]["generic"]["dft"].get( + "energy_band", None + ), + electronic_entropy=job_dict["output"]["generic"]["dft"].get( + "electronic_entropy", None + ), + residue=job_dict["output"]["generic"]["dft"].get("residue", None), + ), + ), + outcar=OutCar( + broyden_mixing=job_dict["output"]["outcar"]["broyden_mixing"], + irreducible_kpoint_weights=job_dict["output"]["outcar"][ + "irreducible_kpoint_weights" + ], + irreducible_kpoints=job_dict["output"]["outcar"]["irreducible_kpoints"], + kin_energy_error=job_dict["output"]["outcar"]["kin_energy_error"], + number_plane_waves=job_dict["output"]["outcar"]["number_plane_waves"], + resources=VaspResources( + cpu_time=job_dict["output"]["outcar"]["resources"]["cpu_time"], + user_time=job_dict["output"]["outcar"]["resources"]["user_time"], + system_time=job_dict["output"]["outcar"]["resources"][ + "system_time" + ], + elapsed_time=job_dict["output"]["outcar"]["resources"][ + "elapsed_time" + ], + memory_used=job_dict["output"]["outcar"]["resources"][ + "memory_used" + ], + ), + stresses=job_dict["output"]["outcar"]["stresses"], + energy_components=job_dict["output"]["outcar"]["energy_components"], + ), + structure=Structure( + dimension=job_dict["output"]["structure"]["dimension"], + indices=job_dict["output"]["structure"]["indices"], + info=job_dict["output"]["structure"]["info"], + positions=job_dict["output"]["structure"]["positions"], + species=job_dict["output"]["structure"]["species"], + cell=Cell( + cell=job_dict["output"]["structure"]["cell"]["cell"], + pbc=job_dict["output"]["structure"]["cell"]["pbc"], + ), + units=Units( + length=job_dict["output"]["structure"]["units"]["length"], + mass=job_dict["output"]["structure"]["units"]["mass"], + ), + ), + ), + ) + + +def convert(job_dict): + funct_dict = { + "": convert_lammps_job_dict, + "": convert_sphinx_job_dict, + "": convert_vasp_job_dict, + } + return funct_dict[job_dict["TYPE"]](job_dict=job_dict) + + +def convert_generic_parameters_to_string(generic_parameter_dict: dict) -> str: + output_str = "" + for p, v in zip( + generic_parameter_dict["data_dict"]["Parameter"], + generic_parameter_dict["data_dict"]["Value"], + ): + output_str += p.replace("___", " ") + " " + str(v) + "\n" + return output_str[:-1] + + +def convert_generic_parameters_to_dictionary(generic_parameter_dict: dict) -> dict: + return { + p: v + for p, v in zip( + generic_parameter_dict["data_dict"]["Parameter"], + generic_parameter_dict["data_dict"]["Value"], + ) + } + + +def _filter_dict(input_dict: dict, remove_keys_lst: list) -> dict: + def recursive_filter(input_value: dict, remove_keys_lst: list) -> dict: + if isinstance(input_value, dict): + return _filter_dict(input_dict=input_value, remove_keys_lst=remove_keys_lst) + else: + return input_value + + return { + k: recursive_filter(input_value=v, remove_keys_lst=remove_keys_lst) + for k, v in input_dict.items() + if k not in remove_keys_lst + } + + +def _sort_dictionary_from_datacontainer(input_dict: dict) -> dict: + def recursive_sort(input_value: dict) -> dict: + if isinstance(input_value, dict): + return _sort_dictionary_from_datacontainer(input_dict=input_value) + else: + return input_value + + ind_dict, content_dict = {}, {} + content_lst_flag = False + for k, v in input_dict.items(): + if "__index_" in k: + key, ind = k.split("__index_") + if key == "": + content_lst_flag = True + ind_dict[int(ind)] = recursive_sort(input_value=v) + else: + ind_dict[int(ind)] = key + content_dict[key] = recursive_sort(input_value=v) + else: + content_dict[k] = recursive_sort(input_value=v) + if content_lst_flag: + return [ind_dict[ind] for ind in sorted(list(ind_dict.keys()))] + elif len(ind_dict) == len(content_dict): + return { + ind_dict[ind]: content_dict[ind_dict[ind]] + for ind in sorted(list(ind_dict.keys())) + } + elif len(ind_dict) == 0: + return content_dict + else: + raise KeyError() + + +def convert_datacontainer_to_dictionary(data_container_dict: dict) -> dict: + return _sort_dictionary_from_datacontainer( + input_dict=_filter_dict( + input_dict=data_container_dict, + remove_keys_lst=[ + "NAME", + "TYPE", + "OBJECT", + "HDF_VERSION", + "READ_ONLY", + "VERSION", + ], + ) + ) diff --git a/tests/static/lmp.h5 b/tests/static/lmp.h5 new file mode 100644 index 0000000000000000000000000000000000000000..4e2b2245bf6118d991e86217d41a78a478037c6e GIT binary patch literal 30866682 zcmeFacbpVe_V-^sF6Lah-+@BYx7!&${*Rrs7PKzj&LMq=^zRjIC8F`}GIv=Z?FO+z zSL==Na^n$x{C>CCNPf$W{MH-EZ?loS-1>wcKmKhulHV@L`}%a) z2w$`je*2B&!--h>{CJWZ%NqHeHlnk0lJ`2hBzeD{cXj-zQ%@c<=Hv^bjvLYMv=P4Z zM))op$ro=#r|U-Y-8Pc%zL7lFF6zL%cH0QQ`$qDd|Gmzh8{zlbNPh2)|WBl-O{lHcFuIWLtYdA}Y?9Z%g3Nb-LD_uL3ywh{iojpPs7h|a+q$tUUPeon|F z@-bh5d706fM|I-SLAG*iGcbiv%{8`oIXckaBd9qUI8Qw3*@ zADZ2Iyzd)*i@O~?u>1XUi(h~9$^pf*-<((6ZFc`|@6L(0nlSi)lMeg1dGylPt$K^< z?mc#&zekVyJ4B5yN_{?l=wAn(*zcttZ8mh-x%)-e7OuGc@*W>v(fXVbTb_LRqz_kj zzH!e^&pvSWRU0m7Jz~_@zZ4#{&#<*iA3kp1%I=FUoO#90559Hq-Phi^(?df`{`8Nw zht)Z9_pOe;^YKIXE}OOZoP)pn zc(?L9jv8@ly`IZFJ1iQ1v6&s_vV!&yG{FkRLl9t%%7C{xvcF4t@wh`ff4D=vUyiFd 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zRATBYfpz)e4acZ`ZX?HU1G`4{(+ex}0_(<8=l@>^0logMB~m_V(02A}wf-A4t{)iG zHlTHz#x34!YsM<o`ft>rA-{Gr2Y;$#^j_WO0byo`sU8&GqF$4L`hi2tfspz<utUp$ zuk<**?&z9iFPMJ6wiVW(kl+DPUDY*+m5Up!sAPJFcMA&bKEU)%)gK~5A_j&;Z1Qrv iq1pQZkv4CBP_;`n{l`jk?`HG`hr1X*IRF1w1pW_a>>LUJ literal 0 HcmV?d00001 diff --git a/tests/test_pyiron_atomistics.py b/tests/test_pyiron_atomistics.py new file mode 100644 index 0000000..4948883 --- /dev/null +++ b/tests/test_pyiron_atomistics.py @@ -0,0 +1,67 @@ +import os +from unittest import TestCase + +from h5io_browser.base import read_dict_from_hdf +from pint import UnitRegistry + +from convert import ( + convert, + convert_sphinx_job_dict, + convert_lammps_job_dict, + convert_vasp_job_dict, +) + + +class TestConvert(TestCase): + def test_sphinx(self): + ureg = UnitRegistry() + job_dict = read_dict_from_hdf( + file_name=os.path.join(os.path.dirname(__file__), "static", "sx.h5"), + h5_path="/sx", + recursive=True, + slash='ignore', + ) + job_sphinx = convert_sphinx_job_dict(job_dict=job_dict) + self.assertEqual(job_sphinx.calculation_output.generic.energy_tot[-1], -228.7831594379917 * ureg.eV) + + def test_lammps(self): + ureg = UnitRegistry() + job_dict = read_dict_from_hdf( + file_name=os.path.join(os.path.dirname(__file__), "static", "lmp.h5"), + h5_path="/lmp", + recursive=True, + slash='ignore', + ) + job_lammps = convert_lammps_job_dict(job_dict=job_dict) + self.assertEqual(job_lammps.calculation_output.generic.energy_tot[-1], -9428.45286561574 * ureg.eV) + + def test_vasp(self): + ureg = UnitRegistry() + job_dict = read_dict_from_hdf( + file_name=os.path.join(os.path.dirname(__file__), "static", "vasp.h5"), + h5_path="/vasp", + recursive=True, + slash='ignore', + ) + job_vasp = convert_vasp_job_dict(job_dict=job_dict) + self.assertEqual(job_vasp.calculation_output.generic.energy_tot[-1], -14.7459202 * ureg.eV) + + def test_all(self): + ureg = UnitRegistry() + static_folder = os.path.join(os.path.dirname(__file__), "static") + energy_dict = { + "sx.h5": -228.7831594379917 * ureg.eV, + "lmp.h5": -9428.45286561574 * ureg.eV, + "vasp.h5": -14.7459202 * ureg.eV, + } + for hdf5_file in os.listdir(static_folder): + job_dict = read_dict_from_hdf( + file_name=os.path.join(static_folder, hdf5_file), + h5_path="/", + recursive=True, + slash='ignore', + )[hdf5_file.split(".")[0]] + self.assertEqual( + convert(job_dict=job_dict).calculation_output.generic.energy_tot[-1], + energy_dict[hdf5_file] + )
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