{ "cells": [ { "cell_type": "markdown", "id": "e9117ac9-b160-45ef-9d8f-b591b797f2ab", "metadata": {}, "source": [ "# Full tutorial\n", "\n", "In this tutorial, we want to demonstrate the full workflow of shnitsel tools from import to final analysis and output. \n", "Due to size constraints in git, we will use an already compressed shnitsel-file input for Retinal as a basis.\n", "Please refer to the `./0_general_io` tutorial notebook for information on how to read arbitrary input.\n" ] }, { "cell_type": "code", "execution_count": 1, "id": "a00fb44f-5ada-4f14-8829-e9f0ef880470", "metadata": {}, "outputs": [], "source": [ "import pandas as pd\n", "import seaborn as sns\n", "\n", "import shnitsel as st\n", "import shnitsel.xarray\n" ] }, { "cell_type": "markdown", "id": "2a0f1c9f-0aea-483c-8265-d934940eee64", "metadata": {}, "source": [ "## 1) Import and preparation of data\n", "### 1.1) Loading data\n", "\n", "We use the generic `st.io.read()` function to import an existing shnitsel-tools file. \n", "Here, we could in principle also read from a collection of trajectories produced by one of the supported import formats: `NewtonX`, `SHARC`, `PyRAI2md` or `ASE`." ] }, { "cell_type": "code", "execution_count": 2, "id": "e7117390-21c1-465e-a3e8-10071d728b0d", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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delta_t:                0.5\\\\n    max_ts:                 450\\\\n    completed:              False\\\\n    input_type:             dynamic\\\\n    ...                     ...\\\\n    misc_input_settings:    {\\\\\\'input\\\\\\': {\\\\\\'printlevel\\\\\\': \\\\\\'2\\\\\\', \\\\\\'geomfile\\\\\\': \\\\\\'"geom"...\\\\n    trajectory_input_path:  retinal_tutorial/I02/TRAJ_00007\\\\n    trajid:                 7\\\\n    DataTree_Level:         TrajectoryData\\\\n    trajectory_id:          914137861\\\\n    __mol:                  <rdkit.Chem.rdchem.Mol object at 0x710aca067f60>, _is_multi_trajectory=False), _children={}, _attrs={\\\\\\'input_format\\\\\\': \\\\\\'sharc\\\\\\', \\\\\\'t_max\\\\\\': 1000.0, \\\\\\'delta_t\\\\\\': 0.5, \\\\\\'max_ts\\\\\\': 450, \\\\\\'completed\\\\\\': False, \\\\\\'input_type\\\\\\': \\\\\\'dynamic\\\\\\', \\\\\\'input_format_version\\\\\\': \\\\\\'3.0\\\\\\', \\\\\\'num_singlets\\\\\\': 3, \\\\\\'num_doublets\\\\\\': 0, \\\\\\'num_triplets\\\\\\': 0, 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delta_t:                0.5\\\\n    max_ts:                 356\\\\n    completed:              False\\\\n    input_type:             dynamic\\\\n    ...                     ...\\\\n    misc_input_settings:    {\\\\\\'input\\\\\\': {\\\\\\'printlevel\\\\\\': \\\\\\'2\\\\\\', \\\\\\'geomfile\\\\\\': \\\\\\'"geom"...\\\\n    trajectory_input_path:  retinal_tutorial/I02/TRAJ_00009\\\\n    trajid:                 9\\\\n    DataTree_Level:         TrajectoryData\\\\n    trajectory_id:          1365445213\\\\n    __mol:                  <rdkit.Chem.rdchem.Mol object at 0x710aca066ed0>, _is_multi_trajectory=False), _children={}, _attrs={\\\\\\'input_format\\\\\\': \\\\\\'sharc\\\\\\', \\\\\\'t_max\\\\\\': 1000.0, \\\\\\'delta_t\\\\\\': 0.5, \\\\\\'max_ts\\\\\\': 356, \\\\\\'completed\\\\\\': False, \\\\\\'input_type\\\\\\': \\\\\\'dynamic\\\\\\', \\\\\\'input_format_version\\\\\\': \\\\\\'3.0\\\\\\', \\\\\\'num_singlets\\\\\\': 3, \\\\\\'num_doublets\\\\\\': 0, \\\\\\'num_triplets\\\\\\': 0, 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delta_t:                0.5\\\\n    max_ts:                 447\\\\n    completed:              False\\\\n    input_type:             dynamic\\\\n    ...                     ...\\\\n    misc_input_settings:    {\\\\\\'input\\\\\\': {\\\\\\'printlevel\\\\\\': \\\\\\'2\\\\\\', \\\\\\'geomfile\\\\\\': \\\\\\'"geom"...\\\\n    trajectory_input_path:  retinal_tutorial/I02/TRAJ_00010\\\\n    trajid:                 10\\\\n    DataTree_Level:         TrajectoryData\\\\n    trajectory_id:          1705053393\\\\n    __mol:                  <rdkit.Chem.rdchem.Mol object at 0x710aca073d80>, _is_multi_trajectory=False), _children={}, _attrs={\\\\\\'input_format\\\\\\': \\\\\\'sharc\\\\\\', \\\\\\'t_max\\\\\\': 1000.0, \\\\\\'delta_t\\\\\\': 0.5, \\\\\\'max_ts\\\\\\': 447, \\\\\\'completed\\\\\\': False, \\\\\\'input_type\\\\\\': \\\\\\'dynamic\\\\\\', \\\\\\'input_format_version\\\\\\': \\\\\\'3.0\\\\\\', \\\\\\'num_singlets\\\\\\': 3, \\\\\\'num_doublets\\\\\\': 0, \\\\\\'num_triplets\\\\\\': 0, 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delta_t:                0.5\\\\n    max_ts:                 451\\\\n    completed:              False\\\\n    input_type:             dynamic\\\\n    ...                     ...\\\\n    misc_input_settings:    {\\\\\\'input\\\\\\': {\\\\\\'printlevel\\\\\\': \\\\\\'2\\\\\\', \\\\\\'geomfile\\\\\\': \\\\\\'"geom"...\\\\n    trajectory_input_path:  retinal_tutorial/I02/TRAJ_00013\\\\n    trajid:                 13\\\\n    DataTree_Level:         TrajectoryData\\\\n    trajectory_id:          376892732\\\\n    __mol:                  <rdkit.Chem.rdchem.Mol object at 0x710aca072930>, _is_multi_trajectory=False), _children={}, _attrs={\\\\\\'input_format\\\\\\': \\\\\\'sharc\\\\\\', \\\\\\'t_max\\\\\\': 1000.0, \\\\\\'delta_t\\\\\\': 0.5, \\\\\\'max_ts\\\\\\': 451, \\\\\\'completed\\\\\\': False, \\\\\\'input_type\\\\\\': \\\\\\'dynamic\\\\\\', \\\\\\'input_format_version\\\\\\': \\\\\\'3.0\\\\\\', \\\\\\'num_singlets\\\\\\': 3, \\\\\\'num_doublets\\\\\\': 0, \\\\\\'num_triplets\\\\\\': 0, 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delta_t:                0.5\\\\n    max_ts:                 445\\\\n    completed:              False\\\\n    input_type:             dynamic\\\\n    ...                     ...\\\\n    misc_input_settings:    {\\\\\\'input\\\\\\': {\\\\\\'printlevel\\\\\\': \\\\\\'2\\\\\\', \\\\\\'geomfile\\\\\\': \\\\\\'"geom"...\\\\n    trajectory_input_path:  retinal_tutorial/I02/TRAJ_00014\\\\n    trajid:                 14\\\\n    DataTree_Level:         TrajectoryData\\\\n    trajectory_id:          672939289\\\\n    __mol:                  <rdkit.Chem.rdchem.Mol object at 0x710aca08bec0>, _is_multi_trajectory=False), _children={}, _attrs={\\\\\\'input_format\\\\\\': \\\\\\'sharc\\\\\\', \\\\\\'t_max\\\\\\': 1000.0, \\\\\\'delta_t\\\\\\': 0.5, \\\\\\'max_ts\\\\\\': 445, \\\\\\'completed\\\\\\': False, \\\\\\'input_type\\\\\\': \\\\\\'dynamic\\\\\\', \\\\\\'input_format_version\\\\\\': \\\\\\'3.0\\\\\\', \\\\\\'num_singlets\\\\\\': 3, \\\\\\'num_doublets\\\\\\': 0, \\\\\\'num_triplets\\\\\\': 0, 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delta_t:                0.5\\\\n    max_ts:                 450\\\\n    completed:              False\\\\n    input_type:             dynamic\\\\n    ...                     ...\\\\n    misc_input_settings:    {\\\\\\'input\\\\\\': {\\\\\\'printlevel\\\\\\': \\\\\\'2\\\\\\', \\\\\\'geomfile\\\\\\': \\\\\\'"geom"...\\\\n    trajectory_input_path:  retinal_tutorial/I02/TRAJ_00017\\\\n    trajid:                 17\\\\n    DataTree_Level:         TrajectoryData\\\\n    trajectory_id:          1635486321\\\\n    __mol:                  <rdkit.Chem.rdchem.Mol object at 0x710aca08aac0>, _is_multi_trajectory=False), _children={}, _attrs={\\\\\\'input_format\\\\\\': \\\\\\'sharc\\\\\\', \\\\\\'t_max\\\\\\': 1000.0, \\\\\\'delta_t\\\\\\': 0.5, \\\\\\'max_ts\\\\\\': 450, \\\\\\'completed\\\\\\': False, \\\\\\'input_type\\\\\\': \\\\\\'dynamic\\\\\\', \\\\\\'input_format_version\\\\\\': \\\\\\'3.0\\\\\\', \\\\\\'num_singlets\\\\\\': 3, \\\\\\'num_doublets\\\\\\': 0, \\\\\\'num_triplets\\\\\\': 0, 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delta_t:                0.5\\\\n    max_ts:                 449\\\\n    completed:              False\\\\n    input_type:             dynamic\\\\n    ...                     ...\\\\n    misc_input_settings:    {\\\\\\'input\\\\\\': {\\\\\\'printlevel\\\\\\': \\\\\\'2\\\\\\', \\\\\\'geomfile\\\\\\': \\\\\\'"geom"...\\\\n    trajectory_input_path:  retinal_tutorial/I02/TRAJ_00018\\\\n    trajid:                 18\\\\n    DataTree_Level:         TrajectoryData\\\\n    trajectory_id:          1952871928\\\\n    __mol:                  <rdkit.Chem.rdchem.Mol object at 0x710aca08be70>, _is_multi_trajectory=False), _children={}, _attrs={\\\\\\'input_format\\\\\\': \\\\\\'sharc\\\\\\', \\\\\\'t_max\\\\\\': 1000.0, \\\\\\'delta_t\\\\\\': 0.5, \\\\\\'max_ts\\\\\\': 449, \\\\\\'completed\\\\\\': False, \\\\\\'input_type\\\\\\': \\\\\\'dynamic\\\\\\', \\\\\\'input_format_version\\\\\\': \\\\\\'3.0\\\\\\', \\\\\\'num_singlets\\\\\\': 3, \\\\\\'num_doublets\\\\\\': 0, \\\\\\'num_triplets\\\\\\': 0, 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\\\\\\'num_triplets\\\\\\': 0, \\\\\\'has_forces\\\\\\': True, \\\\\\'misc_input_settings\\\\\\': {\\\\\\'input\\\\\\': {\\\\\\'printlevel\\\\\\': \\\\\\'2\\\\\\', \\\\\\'geomfile\\\\\\': \\\\\\'\"geom\"\\\\\\', \\\\\\'veloc\\\\\\': \\\\\\'external\\\\\\', \\\\\\'velocfile\\\\\\': \\\\\\'\"veloc\"\\\\\\', \\\\\\'nstates\\\\\\': [3], \\\\\\'actstates\\\\\\': \\\\\\'3\\\\\\', \\\\\\'state\\\\\\': \\\\\\'2 mch\\\\\\', \\\\\\'coeff\\\\\\': \\\\\\'auto\\\\\\', \\\\\\'rngseed\\\\\\': \\\\\\'15722\\\\\\', \\\\\\'ezero\\\\\\': \\\\\\'-248.2781283000\\\\\\', \\\\\\'tmax\\\\\\': \\\\\\'1000.000000\\\\\\', \\\\\\'stepsize\\\\\\': \\\\\\'0.500000\\\\\\', \\\\\\'nsubsteps\\\\\\': \\\\\\'25\\\\\\', \\\\\\'integrator\\\\\\': \\\\\\'fvv\\\\\\', \\\\\\'method\\\\\\': \\\\\\'tsh\\\\\\', \\\\\\'surf\\\\\\': \\\\\\'diagonal\\\\\\', \\\\\\'coupling\\\\\\': \\\\\\'overlap\\\\\\', \\\\\\'nogradcorrect\\\\\\': True, \\\\\\'ekincorrect\\\\\\': \\\\\\'parallel_vel\\\\\\', \\\\\\'reflect_frustrated\\\\\\': 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\\\\\\'stepsize\\\\\\': \\\\\\'0.500000\\\\\\', \\\\\\'nsubsteps\\\\\\': \\\\\\'25\\\\\\', \\\\\\'integrator\\\\\\': \\\\\\'fvv\\\\\\', \\\\\\'method\\\\\\': \\\\\\'tsh\\\\\\', \\\\\\'surf\\\\\\': \\\\\\'diagonal\\\\\\', \\\\\\'coupling\\\\\\': \\\\\\'overlap\\\\\\', \\\\\\'nogradcorrect\\\\\\': True, \\\\\\'ekincorrect\\\\\\': \\\\\\'parallel_vel\\\\\\', \\\\\\'reflect_frustrated\\\\\\': \\\\\\'none\\\\\\', \\\\\\'decoherence_scheme\\\\\\': \\\\\\'edc\\\\\\', \\\\\\'decoherence_param\\\\\\': \\\\\\'0.1\\\\\\', \\\\\\'hopping_procedure\\\\\\': \\\\\\'sharc\\\\\\', \\\\\\'grad_all\\\\\\': True, \\\\\\'eselect\\\\\\': \\\\\\'0.001000\\\\\\', \\\\\\'select_directly\\\\\\': True, \\\\\\'nospinorbit\\\\\\': True, \\\\\\'write_grad\\\\\\': True, \\\\\\'write_nacdr\\\\\\': True, \\\\\\'write_overlap\\\\\\': True, \\\\\\'output_format\\\\\\': \\\\\\'ascii\\\\\\', \\\\\\'output_dat_steps\\\\\\': \\\\\\'1\\\\\\', \\\\\\'version\\\\\\': \\\\\\'3.0\\\\\\'}}, \\\\\\'trajectory_input_path\\\\\\': \\\\\\'retinal_tutorial/I02/TRAJ_00020\\\\\\', \\\\\\'trajid\\\\\\': 20, \\\\\\'DataTree_Level\\\\\\': \\\\\\'TrajectoryData\\\\\\', \\\\\\'__shnitsel_setup_for_cleanup\\\\\\': True}, _parent=..., _level_name=\\\\\\'DataLeaf\\\\\\')}, _attrs={\\\\\\'DataTree_Level\\\\\\': \\\\\\'CompoundGroup\\\\\\', \\\\\\'compound_info\\\\\\': {\\\\\\'compound_name\\\\\\': \\\\\\'I02\\\\\\'}}, _parent= [{\\\\\\'level\\\\\\': \\\\\\'ShnitselDBRoot\\\\\\', \\\\\\'children\\\\\\': \"1: {\\\\\\'I02\\\\\\': \\\\\\'...\\\\\\'}\"}], _level_name=\\\\\\'CompoundGroup\\\\\\', _group_info=None)\\'}'}]" ] }, "execution_count": 2, "metadata": {}, "output_type": "execute_result" } ], "source": [ "dt = st.io.read('./test_data/shnitsel/traj_I02.nc')\n", "dt" ] }, { "cell_type": "markdown", "id": "ab93e613", "metadata": {}, "source": [ "### 1.2) Cleaning data\n", "\n", "To make sure that we exclude numerical artifacts and only consider physically relevant configurations, the `st.io.clean` module offers the `sanity_check()` function to support the filtering of input data. \n", "Configuration options are available via the various configuration parameters. \n", "By default, `sanity_check()` peforms both energy- and bond-length filtration. If you only wish to apply either of those, you can use split functions directly, specifically `filter_by_energy()` and `filter_by_length()` also found in the `st.io.clean` module.\n", "\n", "Multiple ways to deal with physically irrelevant data are supported:\n", "- `omit`: This method gets rid of all trajectories that violate the constraints at any point\n", "- `truncate`: This method cuts off all trajectories at the first frame where they would violate the configured constraints\n", "- `transect` (indicated by a float representing the desired `time` at which to cut off): This method omits all trajectories that violate the constraints before the specified time and cuts all other trajectories off at the configured time. " ] }, { "cell_type": "code", "execution_count": 3, "id": "eaa8e368", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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trajectory_id:          821928994\\\\n    __mol:                  <rdkit.Chem.rdchem.Mol object at 0x710aca054270>, _is_multi_trajectory=False), _children={}, _attrs={\\\\\\'input_format\\\\\\': \\\\\\'sharc\\\\\\', \\\\\\'t_max\\\\\\': 1000.0, \\\\\\'delta_t\\\\\\': 0.5, \\\\\\'max_ts\\\\\\': 367, \\\\\\'completed\\\\\\': False, \\\\\\'input_type\\\\\\': \\\\\\'dynamic\\\\\\', \\\\\\'input_format_version\\\\\\': \\\\\\'3.0\\\\\\', \\\\\\'num_singlets\\\\\\': 3, \\\\\\'num_doublets\\\\\\': 0, \\\\\\'num_triplets\\\\\\': 0, \\\\\\'has_forces\\\\\\': True, \\\\\\'misc_input_settings\\\\\\': {\\\\\\'input\\\\\\': {\\\\\\'printlevel\\\\\\': \\\\\\'2\\\\\\', \\\\\\'geomfile\\\\\\': \\\\\\'"geom"\\\\\\', \\\\\\'veloc\\\\\\': \\\\\\'external\\\\\\', \\\\\\'velocfile\\\\\\': \\\\\\'"veloc"\\\\\\', \\\\\\'nstates\\\\\\': [3], \\\\\\'actstates\\\\\\': \\\\\\'3\\\\\\', \\\\\\'state\\\\\\': \\\\\\'2 mch\\\\\\', \\\\\\'coeff\\\\\\': \\\\\\'auto\\\\\\', \\\\\\'rngseed\\\\\\': \\\\\\'-28912\\\\\\', \\\\\\'ezero\\\\\\': \\\\\\'-248.2781283000\\\\\\', \\\\\\'tmax\\\\\\': \\\\\\'1000.000000\\\\\\', \\\\\\'stepsize\\\\\\': \\\\\\'0.500000\\\\\\', \\\\\\'nsubsteps\\\\\\': \\\\\\'25\\\\\\', \\\\\\'integrator\\\\\\': \\\\\\'fvv\\\\\\', \\\\\\'method\\\\\\': \\\\\\'tsh\\\\\\', \\\\\\'surf\\\\\\': \\\\\\'diagonal\\\\\\', \\\\\\'coupling\\\\\\': \\\\\\'overlap\\\\\\', \\\\\\'nogradcorrect\\\\\\': True, \\\\\\'ekincorrect\\\\\\': \\\\\\'parallel_vel\\\\\\', \\\\\\'reflect_frustrated\\\\\\': \\\\\\'none\\\\\\', \\\\\\'decoherence_scheme\\\\\\': \\\\\\'edc\\\\\\', \\\\\\'decoherence_param\\\\\\': \\\\\\'0.1\\\\\\', \\\\\\'hopping_procedure\\\\\\': \\\\\\'sharc\\\\\\', \\\\\\'grad_all\\\\\\': True, \\\\\\'eselect\\\\\\': \\\\\\'0.001000\\\\\\', \\\\\\'select_directly\\\\\\': True, \\\\\\'nospinorbit\\\\\\': True, \\\\\\'write_grad\\\\\\': True, \\\\\\'write_nacdr\\\\\\': True, \\\\\\'write_overlap\\\\\\': True, \\\\\\'output_format\\\\\\': \\\\\\'ascii\\\\\\', \\\\\\'output_dat_steps\\\\\\': 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{\\\\\\'printlevel\\\\\\': \\\\\\'2\\\\\\', \\\\\\'geomfile\\\\\\': \\\\\\'"geom"\\\\\\', \\\\\\'veloc\\\\\\': \\\\\\'external\\\\\\', \\\\\\'velocfile\\\\\\': \\\\\\'"veloc"\\\\\\', \\\\\\'nstates\\\\\\': \\\\\\'3\\\\\\', \\\\\\'actstates\\\\\\': \\\\\\'3\\\\\\', \\\\\\'state\\\\\\': \\\\\\'2 mch\\\\\\', \\\\\\'coeff\\\\\\': \\\\\\'auto\\\\\\', \\\\\\'rngseed\\\\\\': \\\\\\'-28912\\\\\\', \\\\\\'ezero\\\\\\': \\\\\\'-248.2781283000\\\\\\', \\\\\\'tmax\\\\\\': \\\\\\'1000.000000\\\\\\', \\\\\\'stepsize\\\\\\': \\\\\\'0.500000\\\\\\', \\\\\\'nsubsteps\\\\\\': \\\\\\'25\\\\\\', \\\\\\'integrator\\\\\\': \\\\\\'fvv\\\\\\', \\\\\\'method\\\\\\': \\\\\\'tsh\\\\\\', \\\\\\'surf\\\\\\': \\\\\\'diagonal\\\\\\', \\\\\\'coupling\\\\\\': \\\\\\'overlap\\\\\\', \\\\\\'nogradcorrect\\\\\\': True, \\\\\\'ekincorrect\\\\\\': \\\\\\'parallel_vel\\\\\\', \\\\\\'reflect_frustrated\\\\\\': \\\\\\'none\\\\\\', \\\\\\'decoherence_scheme\\\\\\': \\\\\\'edc\\\\\\', \\\\\\'decoherence_param\\\\\\': \\\\\\'0.1\\\\\\', \\\\\\'hopping_procedure\\\\\\': \\\\\\'sharc\\\\\\', \\\\\\'grad_all\\\\\\': True, \\\\\\'eselect\\\\\\': \\\\\\'0.001000\\\\\\', \\\\\\'select_directly\\\\\\': True, \\\\\\'nospinorbit\\\\\\': True, \\\\\\'write_grad\\\\\\': True, \\\\\\'write_nacdr\\\\\\': True, \\\\\\'write_overlap\\\\\\': True, \\\\\\'output_format\\\\\\': \\\\\\'ascii\\\\\\', \\\\\\'output_dat_steps\\\\\\': \\\\\\'1\\\\\\', \\\\\\'version\\\\\\': \\\\\\'3.0\\\\\\'}}, \\\\\\'trajectory_input_path\\\\\\': \\\\\\'retinal_tutorial/I02/TRAJ_00002\\\\\\', \\\\\\'trajid\\\\\\': 2, \\\\\\'DataTree_Level\\\\\\': \\\\\\'TrajectoryData\\\\\\', \\\\\\'__shnitsel_setup_for_cleanup\\\\\\': True}, _parent=..., _level_name=\\\\\\'DataLeaf\\\\\\'), \\\\\\'2\\\\\\': ABCMeta(_name=\\\\\\'2\\\\\\', _dtype=<class \\\\\\'shnitsel.data.dataset_containers.trajectory.Trajectory\\\\\\'>, _data=Trajectory(_raw_dataset=<xarray.Dataset> Size: 397kB\\\\nDimensions:              (time: 442, state: 3, atom: 14, direction: 3,\\\\n                          statecomb: 3, full_statecomb: 6, energy_criterion: 2,\\\\n                          length_criterion: 2)\\\\nCoordinates: (12/25)\\\\n  * time                 (time) float64 4kB 0.0 0.5 1.0 ... 219.5 220.0 220.5\\\\n  * state                (state) int64 24B 1 2 3\\\\n  * atom                 (atom) int64 112B 0 1 2 3 4 5 6 7 8 9 10 11 12 13\\\\n  * direction            (direction) <U1 12B \\\\\\'x\\\\\\' \\\\\\'y\\\\\\' \\\\\\'z\\\\\\'\\\\n  * statecomb            (statecomb) object 24B MultiIndex\\\\n  * full_statecomb       (full_statecomb) object 48B MultiIndex\\\\n    ...                   ...\\\\n    delta_t              float64 8B 0.5\\\\n    max_ts               int64 8B 444\\\\n    t_max                float64 8B 1e+03\\\\n    charge               float64 8B 1.0\\\\n    energy_thresholds    (energy_criterion) float64 16B 0.7 1.0\\\\n    length_thresholds    (length_criterion) float64 16B 3.0 2.0\\\\nData variables:\\\\n    energy               (time, state) float32 5kB ...\\\\n    forces               (time, state, atom, direction) float32 223kB ...\\\\n    atXYZ                (time, atom, direction) float32 74kB -4.284 ... 0.4159\\\\n    dip_perm             (time, state, direction) float32 16kB ...\\\\n    dip_trans            (time, statecomb, direction) float32 16kB ...\\\\n    socs                 (time, full_statecomb) complex128 42kB ...\\\\n    phases               (time, state) float32 5kB ...\\\\n    energy_filtranda     (energy_criterion, time) float32 4kB 0.0 0.106 ... 0.0\\\\n    length_filtranda     (length_criterion, time) float32 4kB 1.444 ... 1.257\\\\nAttributes: (12/17)\\\\n    input_format:           sharc\\\\n    t_max:                  1000.0\\\\n    delta_t:                0.5\\\\n    max_ts:                 444\\\\n    completed:              False\\\\n    input_type:             dynamic\\\\n    ...                     ...\\\\n    misc_input_settings:    {\\\\\\'input\\\\\\': {\\\\\\'printlevel\\\\\\': \\\\\\'2\\\\\\', \\\\\\'geomfile\\\\\\': \\\\\\'"geom"...\\\\n    trajectory_input_path:  retinal_tutorial/I02/TRAJ_00003\\\\n    trajid:                 3\\\\n    DataTree_Level:         TrajectoryData\\\\n    trajectory_id:          1757768670\\\\n    __mol:                  <rdkit.Chem.rdchem.Mol object at 0x710aca05f830>, _is_multi_trajectory=False), _children={}, _attrs={\\\\\\'input_format\\\\\\': \\\\\\'sharc\\\\\\', \\\\\\'t_max\\\\\\': 1000.0, \\\\\\'delta_t\\\\\\': 0.5, \\\\\\'max_ts\\\\\\': 444, \\\\\\'completed\\\\\\': False, \\\\\\'input_type\\\\\\': \\\\\\'dynamic\\\\\\', \\\\\\'input_format_version\\\\\\': \\\\\\'3.0\\\\\\', \\\\\\'num_singlets\\\\\\': 3, \\\\\\'num_doublets\\\\\\': 0, \\\\\\'num_triplets\\\\\\': 0, \\\\\\'has_forces\\\\\\': True, \\\\\\'misc_input_settings\\\\\\': {\\\\\\'input\\\\\\': {\\\\\\'printlevel\\\\\\': \\\\\\'2\\\\\\', \\\\\\'geomfile\\\\\\': \\\\\\'"geom"\\\\\\', \\\\\\'veloc\\\\\\': \\\\\\'external\\\\\\', \\\\\\'velocfile\\\\\\': \\\\\\'"veloc"\\\\\\', \\\\\\'nstates\\\\\\': [3], \\\\\\'actstates\\\\\\': \\\\\\'3\\\\\\', \\\\\\'state\\\\\\': \\\\\\'2 mch\\\\\\', \\\\\\'coeff\\\\\\': \\\\\\'auto\\\\\\', \\\\\\'rngseed\\\\\\': \\\\\\'-9876\\\\\\', \\\\\\'ezero\\\\\\': \\\\\\'-248.2781283000\\\\\\', \\\\\\'tmax\\\\\\': \\\\\\'1000.000000\\\\\\', \\\\\\'stepsize\\\\\\': \\\\\\'0.500000\\\\\\', \\\\\\'nsubsteps\\\\\\': \\\\\\'25\\\\\\', \\\\\\'integrator\\\\\\': \\\\\\'fvv\\\\\\', \\\\\\'method\\\\\\': \\\\\\'tsh\\\\\\', \\\\\\'surf\\\\\\': \\\\\\'diagonal\\\\\\', \\\\\\'coupling\\\\\\': \\\\\\'overlap\\\\\\', \\\\\\'nogradcorrect\\\\\\': True, \\\\\\'ekincorrect\\\\\\': \\\\\\'parallel_vel\\\\\\', \\\\\\'reflect_frustrated\\\\\\': \\\\\\'none\\\\\\', \\\\\\'decoherence_scheme\\\\\\': \\\\\\'edc\\\\\\', \\\\\\'decoherence_param\\\\\\': \\\\\\'0.1\\\\\\', \\\\\\'hopping_procedure\\\\\\': \\\\\\'sharc\\\\\\', \\\\\\'grad_all\\\\\\': True, \\\\\\'eselect\\\\\\': \\\\\\'0.001000\\\\\\', \\\\\\'select_directly\\\\\\': True, \\\\\\'nospinorbit\\\\\\': True, \\\\\\'write_grad\\\\\\': True, \\\\\\'write_nacdr\\\\\\': True, \\\\\\'write_overlap\\\\\\': True, \\\\\\'output_format\\\\\\': \\\\\\'ascii\\\\\\', \\\\\\'output_dat_steps\\\\\\': \\\\\\'1\\\\\\'}, \\\\\\'output.dat\\\\\\': {\\\\\\'SHARC_version\\\\\\': \\\\\\'3.0\\\\\\', \\\\\\'method\\\\\\': \\\\\\'0\\\\\\', \\\\\\'integrator\\\\\\': \\\\\\'2\\\\\\', \\\\\\'maxmult\\\\\\': \\\\\\'1\\\\\\', \\\\\\'nstates_m\\\\\\': \\\\\\'3\\\\\\', \\\\\\'natom\\\\\\': \\\\\\'14\\\\\\', \\\\\\'dtstep\\\\\\': \\\\\\'20.670686894780374\\\\\\', \\\\\\'nsteps\\\\\\': \\\\\\'2000\\\\\\', \\\\\\'nsubsteps\\\\\\': \\\\\\'25\\\\\\', \\\\\\'ezero\\\\\\': \\\\\\'-248.27812829999999\\\\\\', \\\\\\'write_overlap\\\\\\': \\\\\\'1\\\\\\', \\\\\\'write_grad\\\\\\': \\\\\\'1\\\\\\', \\\\\\'write_nacdr\\\\\\': \\\\\\'0\\\\\\', \\\\\\'write_property1d\\\\\\': \\\\\\'0\\\\\\', \\\\\\'write_property2d\\\\\\': \\\\\\'0\\\\\\', \\\\\\'n_property1d\\\\\\': \\\\\\'1\\\\\\', \\\\\\'n_property2d\\\\\\': \\\\\\'1\\\\\\', \\\\\\'laser\\\\\\': \\\\\\'0\\\\\\'}, \\\\\\'output.lis\\\\\\': {\\\\\\'nsteps\\\\\\': 444, \\\\\\'delta_t\\\\\\': 0.5, \\\\\\'t_max\\\\\\': 221.5}, \\\\\\'output.log\\\\\\': {\\\\\\'printlevel\\\\\\': \\\\\\'2\\\\\\', \\\\\\'geomfile\\\\\\': \\\\\\'"geom"\\\\\\', \\\\\\'veloc\\\\\\': \\\\\\'external\\\\\\', \\\\\\'velocfile\\\\\\': \\\\\\'"veloc"\\\\\\', \\\\\\'nstates\\\\\\': \\\\\\'3\\\\\\', \\\\\\'actstates\\\\\\': \\\\\\'3\\\\\\', \\\\\\'state\\\\\\': \\\\\\'2 mch\\\\\\', \\\\\\'coeff\\\\\\': \\\\\\'auto\\\\\\', \\\\\\'rngseed\\\\\\': \\\\\\'-9876\\\\\\', \\\\\\'ezero\\\\\\': \\\\\\'-248.2781283000\\\\\\', \\\\\\'tmax\\\\\\': \\\\\\'1000.000000\\\\\\', \\\\\\'stepsize\\\\\\': \\\\\\'0.500000\\\\\\', \\\\\\'nsubsteps\\\\\\': \\\\\\'25\\\\\\', \\\\\\'integrator\\\\\\': \\\\\\'fvv\\\\\\', \\\\\\'method\\\\\\': \\\\\\'tsh\\\\\\', \\\\\\'surf\\\\\\': \\\\\\'diagonal\\\\\\', \\\\\\'coupling\\\\\\': \\\\\\'overlap\\\\\\', \\\\\\'nogradcorrect\\\\\\': True, \\\\\\'ekincorrect\\\\\\': \\\\\\'parallel_vel\\\\\\', \\\\\\'reflect_frustrated\\\\\\': \\\\\\'none\\\\\\', \\\\\\'decoherence_scheme\\\\\\': \\\\\\'edc\\\\\\', \\\\\\'decoherence_param\\\\\\': \\\\\\'0.1\\\\\\', \\\\\\'hopping_procedure\\\\\\': \\\\\\'sharc\\\\\\', \\\\\\'grad_all\\\\\\': True, \\\\\\'eselect\\\\\\': \\\\\\'0.001000\\\\\\', \\\\\\'select_directly\\\\\\': True, \\\\\\'nospinorbit\\\\\\': True, \\\\\\'write_grad\\\\\\': True, \\\\\\'write_nacdr\\\\\\': True, \\\\\\'write_overlap\\\\\\': True, \\\\\\'output_format\\\\\\': \\\\\\'ascii\\\\\\', \\\\\\'output_dat_steps\\\\\\': \\\\\\'1\\\\\\', \\\\\\'version\\\\\\': \\\\\\'3.0\\\\\\'}}, \\\\\\'trajectory_input_path\\\\\\': \\\\\\'retinal_tutorial/I02/TRAJ_00003\\\\\\', \\\\\\'trajid\\\\\\': 3, \\\\\\'DataTree_Level\\\\\\': \\\\\\'TrajectoryData\\\\\\', \\\\\\'__shnitsel_setup_for_cleanup\\\\\\': True}, _parent=..., _level_name=\\\\\\'DataLeaf\\\\\\'), \\\\\\'3\\\\\\': ABCMeta(_name=\\\\\\'3\\\\\\', _dtype=<class \\\\\\'shnitsel.data.dataset_containers.trajectory.Trajectory\\\\\\'>, _data=Trajectory(_raw_dataset=<xarray.Dataset> Size: 94kB\\\\nDimensions:              (time: 104, state: 3, atom: 14, direction: 3,\\\\n                          statecomb: 3, full_statecomb: 6, energy_criterion: 2,\\\\n                          length_criterion: 2)\\\\nCoordinates: (12/25)\\\\n  * time                 (time) float64 832B 0.0 0.5 1.0 1.5 ... 50.5 51.0 51.5\\\\n  * state                (state) int64 24B 1 2 3\\\\n  * atom                 (atom) int64 112B 0 1 2 3 4 5 6 7 8 9 10 11 12 13\\\\n  * direction            (direction) <U1 12B \\\\\\'x\\\\\\' \\\\\\'y\\\\\\' \\\\\\'z\\\\\\'\\\\n  * statecomb            (statecomb) object 24B MultiIndex\\\\n  * full_statecomb       (full_statecomb) object 48B MultiIndex\\\\n    ...                   ...\\\\n    delta_t              float64 8B 0.5\\\\n    max_ts               int64 8B 106\\\\n    t_max                float64 8B 1e+03\\\\n    charge               float64 8B 1.0\\\\n    energy_thresholds    (energy_criterion) float64 16B 0.7 1.0\\\\n    length_thresholds    (length_criterion) float64 16B 3.0 2.0\\\\nData variables:\\\\n    energy               (time, state) float32 1kB ...\\\\n    forces               (time, state, atom, direction) float32 52kB ...\\\\n    atXYZ                (time, atom, direction) float32 17kB -4.143 ... 0.9226\\\\n    dip_perm             (time, state, direction) float32 4kB ...\\\\n    dip_trans            (time, statecomb, direction) float32 4kB ...\\\\n    socs                 (time, full_statecomb) complex128 10kB ...\\\\n    phases               (time, state) float32 1kB ...\\\\n    energy_filtranda     (energy_criterion, time) float32 832B 0.0 ... 0.0\\\\n    length_filtranda     (length_criterion, time) float32 832B 1.443 ... 1.278\\\\nAttributes: (12/17)\\\\n    input_format:           sharc\\\\n    t_max:                  1000.0\\\\n    delta_t:                0.5\\\\n    max_ts:                 106\\\\n    completed:              False\\\\n    input_type:             dynamic\\\\n    ...                     ...\\\\n    misc_input_settings:    {\\\\\\'input\\\\\\': {\\\\\\'printlevel\\\\\\': \\\\\\'2\\\\\\', \\\\\\'geomfile\\\\\\': \\\\\\'"geom"...\\\\n    trajectory_input_path:  retinal_tutorial/I02/TRAJ_00004\\\\n    trajid:                 4\\\\n    DataTree_Level:         TrajectoryData\\\\n    trajectory_id:          1095854049\\\\n    __mol:                  <rdkit.Chem.rdchem.Mol object at 0x710aca054310>, _is_multi_trajectory=False), _children={}, _attrs={\\\\\\'input_format\\\\\\': \\\\\\'sharc\\\\\\', \\\\\\'t_max\\\\\\': 1000.0, \\\\\\'delta_t\\\\\\': 0.5, \\\\\\'max_ts\\\\\\': 106, \\\\\\'completed\\\\\\': False, \\\\\\'input_type\\\\\\': \\\\\\'dynamic\\\\\\', \\\\\\'input_format_version\\\\\\': \\\\\\'3.0\\\\\\', \\\\\\'num_singlets\\\\\\': 3, \\\\\\'num_doublets\\\\\\': 0, \\\\\\'num_triplets\\\\\\': 0, \\\\\\'has_forces\\\\\\': True, \\\\\\'misc_input_settings\\\\\\': {\\\\\\'input\\\\\\': {\\\\\\'printlevel\\\\\\': \\\\\\'2\\\\\\', \\\\\\'geomfile\\\\\\': \\\\\\'"geom"\\\\\\', \\\\\\'veloc\\\\\\': \\\\\\'external\\\\\\', \\\\\\'velocfile\\\\\\': \\\\\\'"veloc"\\\\\\', \\\\\\'nstates\\\\\\': [3], \\\\\\'actstates\\\\\\': \\\\\\'3\\\\\\', \\\\\\'state\\\\\\': \\\\\\'2 mch\\\\\\', \\\\\\'coeff\\\\\\': \\\\\\'auto\\\\\\', \\\\\\'rngseed\\\\\\': \\\\\\'-32476\\\\\\', \\\\\\'ezero\\\\\\': \\\\\\'-248.2781283000\\\\\\', \\\\\\'tmax\\\\\\': \\\\\\'1000.000000\\\\\\', \\\\\\'stepsize\\\\\\': \\\\\\'0.500000\\\\\\', \\\\\\'nsubsteps\\\\\\': \\\\\\'25\\\\\\', \\\\\\'integrator\\\\\\': \\\\\\'fvv\\\\\\', \\\\\\'method\\\\\\': \\\\\\'tsh\\\\\\', \\\\\\'surf\\\\\\': \\\\\\'diagonal\\\\\\', \\\\\\'coupling\\\\\\': \\\\\\'overlap\\\\\\', \\\\\\'nogradcorrect\\\\\\': True, \\\\\\'ekincorrect\\\\\\': \\\\\\'parallel_vel\\\\\\', \\\\\\'reflect_frustrated\\\\\\': \\\\\\'none\\\\\\', \\\\\\'decoherence_scheme\\\\\\': \\\\\\'edc\\\\\\', \\\\\\'decoherence_param\\\\\\': \\\\\\'0.1\\\\\\', \\\\\\'hopping_procedure\\\\\\': \\\\\\'sharc\\\\\\', \\\\\\'grad_all\\\\\\': True, \\\\\\'eselect\\\\\\': \\\\\\'0.001000\\\\\\', \\\\\\'select_directly\\\\\\': True, \\\\\\'nospinorbit\\\\\\': True, \\\\\\'write_grad\\\\\\': True, \\\\\\'write_nacdr\\\\\\': True, \\\\\\'write_overlap\\\\\\': True, \\\\\\'output_format\\\\\\': \\\\\\'ascii\\\\\\', \\\\\\'output_dat_steps\\\\\\': \\\\\\'1\\\\\\'}, \\\\\\'output.dat\\\\\\': {\\\\\\'SHARC_version\\\\\\': \\\\\\'3.0\\\\\\', \\\\\\'method\\\\\\': \\\\\\'0\\\\\\', \\\\\\'integrator\\\\\\': \\\\\\'2\\\\\\', \\\\\\'maxmult\\\\\\': \\\\\\'1\\\\\\', \\\\\\'nstates_m\\\\\\': \\\\\\'3\\\\\\', \\\\\\'natom\\\\\\': \\\\\\'14\\\\\\', \\\\\\'dtstep\\\\\\': \\\\\\'20.670686894780374\\\\\\', \\\\\\'nsteps\\\\\\': \\\\\\'2000\\\\\\', \\\\\\'nsubsteps\\\\\\': \\\\\\'25\\\\\\', \\\\\\'ezero\\\\\\': \\\\\\'-248.27812829999999\\\\\\', \\\\\\'write_overlap\\\\\\': \\\\\\'1\\\\\\', \\\\\\'write_grad\\\\\\': \\\\\\'1\\\\\\', \\\\\\'write_nacdr\\\\\\': \\\\\\'0\\\\\\', \\\\\\'write_property1d\\\\\\': \\\\\\'0\\\\\\', \\\\\\'write_property2d\\\\\\': \\\\\\'0\\\\\\', \\\\\\'n_property1d\\\\\\': \\\\\\'1\\\\\\', \\\\\\'n_property2d\\\\\\': \\\\\\'1\\\\\\', \\\\\\'laser\\\\\\': \\\\\\'0\\\\\\'}, \\\\\\'output.lis\\\\\\': {\\\\\\'nsteps\\\\\\': 106, \\\\\\'delta_t\\\\\\': 0.5, \\\\\\'t_max\\\\\\': 52.5}, \\\\\\'output.log\\\\\\': {\\\\\\'printlevel\\\\\\': \\\\\\'2\\\\\\', \\\\\\'geomfile\\\\\\': \\\\\\'"geom"\\\\\\', \\\\\\'veloc\\\\\\': \\\\\\'external\\\\\\', \\\\\\'velocfile\\\\\\': \\\\\\'"veloc"\\\\\\', \\\\\\'nstates\\\\\\': \\\\\\'3\\\\\\', \\\\\\'actstates\\\\\\': \\\\\\'3\\\\\\', \\\\\\'state\\\\\\': \\\\\\'2 mch\\\\\\', \\\\\\'coeff\\\\\\': \\\\\\'auto\\\\\\', \\\\\\'rngseed\\\\\\': \\\\\\'-32476\\\\\\', \\\\\\'ezero\\\\\\': \\\\\\'-248.2781283000\\\\\\', \\\\\\'tmax\\\\\\': \\\\\\'1000.000000\\\\\\', \\\\\\'stepsize\\\\\\': \\\\\\'0.500000\\\\\\', \\\\\\'nsubsteps\\\\\\': \\\\\\'25\\\\\\', \\\\\\'integrator\\\\\\': \\\\\\'fvv\\\\\\', \\\\\\'method\\\\\\': \\\\\\'tsh\\\\\\', \\\\\\'surf\\\\\\': \\\\\\'diagonal\\\\\\', \\\\\\'coupling\\\\\\': \\\\\\'overlap\\\\\\', \\\\\\'nogradcorrect\\\\\\': True, \\\\\\'ekincorrect\\\\\\': \\\\\\'parallel_vel\\\\\\', \\\\\\'reflect_frustrated\\\\\\': \\\\\\'none\\\\\\', \\\\\\'decoherence_scheme\\\\\\': \\\\\\'edc\\\\\\', \\\\\\'decoherence_param\\\\\\': \\\\\\'0.1\\\\\\', \\\\\\'hopping_procedure\\\\\\': \\\\\\'sharc\\\\\\', \\\\\\'grad_all\\\\\\': True, \\\\\\'eselect\\\\\\': \\\\\\'0.001000\\\\\\', \\\\\\'select_directly\\\\\\': True, \\\\\\'nospinorbit\\\\\\': True, \\\\\\'write_grad\\\\\\': True, \\\\\\'write_nacdr\\\\\\': True, \\\\\\'write_overlap\\\\\\': True, \\\\\\'output_format\\\\\\': \\\\\\'ascii\\\\\\', \\\\\\'output_dat_steps\\\\\\': \\\\\\'1\\\\\\', \\\\\\'version\\\\\\': \\\\\\'3.0\\\\\\'}}, \\\\\\'trajectory_input_path\\\\\\': \\\\\\'retinal_tutorial/I02/TRAJ_00004\\\\\\', \\\\\\'trajid\\\\\\': 4, \\\\\\'DataTree_Level\\\\\\': \\\\\\'TrajectoryData\\\\\\', \\\\\\'__shnitsel_setup_for_cleanup\\\\\\': True}, _parent=..., _level_name=\\\\\\'DataLeaf\\\\\\'), \\\\\\'4\\\\\\': ABCMeta(_name=\\\\\\'4\\\\\\', _dtype=<class \\\\\\'shnitsel.data.dataset_containers.trajectory.Trajectory\\\\\\'>, _data=Trajectory(_raw_dataset=<xarray.Dataset> Size: 85kB\\\\nDimensions:              (time: 94, state: 3, atom: 14, direction: 3,\\\\n                          statecomb: 3, full_statecomb: 6, energy_criterion: 2,\\\\n                          length_criterion: 2)\\\\nCoordinates: (12/25)\\\\n  * time                 (time) float64 752B 0.0 0.5 1.0 1.5 ... 45.5 46.0 46.5\\\\n  * state                (state) int64 24B 1 2 3\\\\n  * atom                 (atom) int64 112B 0 1 2 3 4 5 6 7 8 9 10 11 12 13\\\\n  * direction            (direction) <U1 12B \\\\\\'x\\\\\\' \\\\\\'y\\\\\\' \\\\\\'z\\\\\\'\\\\n  * statecomb            (statecomb) object 24B MultiIndex\\\\n  * full_statecomb       (full_statecomb) object 48B MultiIndex\\\\n    ...                   ...\\\\n    delta_t              float64 8B 0.5\\\\n    max_ts               int64 8B 443\\\\n    t_max                float64 8B 1e+03\\\\n    charge               float64 8B 1.0\\\\n    energy_thresholds    (energy_criterion) float64 16B 0.7 1.0\\\\n    length_thresholds    (length_criterion) float64 16B 3.0 2.0\\\\nData variables:\\\\n    energy               (time, state) float32 1kB ...\\\\n    forces               (time, state, atom, direction) float32 47kB ...\\\\n    atXYZ                (time, atom, direction) float32 16kB -4.518 ... -1.171\\\\n    dip_perm             (time, state, direction) float32 3kB ...\\\\n    dip_trans            (time, statecomb, direction) float32 3kB ...\\\\n    socs                 (time, full_statecomb) complex128 9kB ...\\\\n    phases               (time, state) float32 1kB ...\\\\n    energy_filtranda     (energy_criterion, time) float32 752B 0.0 ... 0.0\\\\n    length_filtranda     (length_criterion, time) float32 752B 1.465 ... 1.149\\\\nAttributes: (12/17)\\\\n    input_format:           sharc\\\\n    t_max:                  1000.0\\\\n    delta_t:                0.5\\\\n    max_ts:                 443\\\\n    completed:              False\\\\n    input_type:             dynamic\\\\n    ...                     ...\\\\n    misc_input_settings:    {\\\\\\'input\\\\\\': {\\\\\\'printlevel\\\\\\': \\\\\\'2\\\\\\', \\\\\\'geomfile\\\\\\': \\\\\\'"geom"...\\\\n    trajectory_input_path:  retinal_tutorial/I02/TRAJ_00006\\\\n    trajid:                 6\\\\n    DataTree_Level:         TrajectoryData\\\\n    trajectory_id:          322201008\\\\n    __mol:                  <rdkit.Chem.rdchem.Mol object at 0x710aca056020>, _is_multi_trajectory=False), _children={}, _attrs={\\\\\\'input_format\\\\\\': \\\\\\'sharc\\\\\\', \\\\\\'t_max\\\\\\': 1000.0, \\\\\\'delta_t\\\\\\': 0.5, \\\\\\'max_ts\\\\\\': 443, \\\\\\'completed\\\\\\': False, \\\\\\'input_type\\\\\\': \\\\\\'dynamic\\\\\\', \\\\\\'input_format_version\\\\\\': \\\\\\'3.0\\\\\\', \\\\\\'num_singlets\\\\\\': 3, \\\\\\'num_doublets\\\\\\': 0, \\\\\\'num_triplets\\\\\\': 0, \\\\\\'has_forces\\\\\\': True, \\\\\\'misc_input_settings\\\\\\': {\\\\\\'input\\\\\\': {\\\\\\'printlevel\\\\\\': \\\\\\'2\\\\\\', \\\\\\'geomfile\\\\\\': \\\\\\'"geom"\\\\\\', \\\\\\'veloc\\\\\\': \\\\\\'external\\\\\\', \\\\\\'velocfile\\\\\\': \\\\\\'"veloc"\\\\\\', \\\\\\'nstates\\\\\\': [3], \\\\\\'actstates\\\\\\': \\\\\\'3\\\\\\', \\\\\\'state\\\\\\': \\\\\\'2 mch\\\\\\', \\\\\\'coeff\\\\\\': \\\\\\'auto\\\\\\', \\\\\\'rngseed\\\\\\': \\\\\\'-22669\\\\\\', \\\\\\'ezero\\\\\\': \\\\\\'-248.2781283000\\\\\\', \\\\\\'tmax\\\\\\': \\\\\\'1000.000000\\\\\\', \\\\\\'stepsize\\\\\\': \\\\\\'0.500000\\\\\\', \\\\\\'nsubsteps\\\\\\': \\\\\\'25\\\\\\', \\\\\\'integrator\\\\\\': \\\\\\'fvv\\\\\\', 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\\\\\\'nstates_m\\\\\\': \\\\\\'3\\\\\\', \\\\\\'natom\\\\\\': \\\\\\'14\\\\\\', \\\\\\'dtstep\\\\\\': \\\\\\'20.670686894780374\\\\\\', \\\\\\'nsteps\\\\\\': \\\\\\'2000\\\\\\', \\\\\\'nsubsteps\\\\\\': \\\\\\'25\\\\\\', \\\\\\'ezero\\\\\\': \\\\\\'-248.27812829999999\\\\\\', \\\\\\'write_overlap\\\\\\': \\\\\\'1\\\\\\', \\\\\\'write_grad\\\\\\': \\\\\\'1\\\\\\', \\\\\\'write_nacdr\\\\\\': \\\\\\'0\\\\\\', \\\\\\'write_property1d\\\\\\': \\\\\\'0\\\\\\', \\\\\\'write_property2d\\\\\\': \\\\\\'0\\\\\\', \\\\\\'n_property1d\\\\\\': \\\\\\'1\\\\\\', \\\\\\'n_property2d\\\\\\': \\\\\\'1\\\\\\', \\\\\\'laser\\\\\\': \\\\\\'0\\\\\\'}, \\\\\\'output.lis\\\\\\': {\\\\\\'nsteps\\\\\\': 443, \\\\\\'delta_t\\\\\\': 0.5, \\\\\\'t_max\\\\\\': 221.0}, \\\\\\'output.log\\\\\\': {\\\\\\'printlevel\\\\\\': \\\\\\'2\\\\\\', \\\\\\'geomfile\\\\\\': \\\\\\'"geom"\\\\\\', \\\\\\'veloc\\\\\\': \\\\\\'external\\\\\\', \\\\\\'velocfile\\\\\\': \\\\\\'"veloc"\\\\\\', \\\\\\'nstates\\\\\\': \\\\\\'3\\\\\\', \\\\\\'actstates\\\\\\': \\\\\\'3\\\\\\', \\\\\\'state\\\\\\': \\\\\\'2 mch\\\\\\', \\\\\\'coeff\\\\\\': \\\\\\'auto\\\\\\', \\\\\\'rngseed\\\\\\': \\\\\\'-22669\\\\\\', \\\\\\'ezero\\\\\\': \\\\\\'-248.2781283000\\\\\\', \\\\\\'tmax\\\\\\': \\\\\\'1000.000000\\\\\\', \\\\\\'stepsize\\\\\\': \\\\\\'0.500000\\\\\\', \\\\\\'nsubsteps\\\\\\': \\\\\\'25\\\\\\', \\\\\\'integrator\\\\\\': \\\\\\'fvv\\\\\\', \\\\\\'method\\\\\\': \\\\\\'tsh\\\\\\', \\\\\\'surf\\\\\\': \\\\\\'diagonal\\\\\\', \\\\\\'coupling\\\\\\': \\\\\\'overlap\\\\\\', \\\\\\'nogradcorrect\\\\\\': True, \\\\\\'ekincorrect\\\\\\': \\\\\\'parallel_vel\\\\\\', \\\\\\'reflect_frustrated\\\\\\': \\\\\\'none\\\\\\', \\\\\\'decoherence_scheme\\\\\\': \\\\\\'edc\\\\\\', \\\\\\'decoherence_param\\\\\\': \\\\\\'0.1\\\\\\', \\\\\\'hopping_procedure\\\\\\': \\\\\\'sharc\\\\\\', \\\\\\'grad_all\\\\\\': True, \\\\\\'eselect\\\\\\': \\\\\\'0.001000\\\\\\', \\\\\\'select_directly\\\\\\': True, \\\\\\'nospinorbit\\\\\\': True, \\\\\\'write_grad\\\\\\': True, \\\\\\'write_nacdr\\\\\\': True, \\\\\\'write_overlap\\\\\\': True, \\\\\\'output_format\\\\\\': \\\\\\'ascii\\\\\\', \\\\\\'output_dat_steps\\\\\\': \\\\\\'1\\\\\\', \\\\\\'version\\\\\\': \\\\\\'3.0\\\\\\'}}, \\\\\\'trajectory_input_path\\\\\\': \\\\\\'retinal_tutorial/I02/TRAJ_00006\\\\\\', \\\\\\'trajid\\\\\\': 6, \\\\\\'DataTree_Level\\\\\\': \\\\\\'TrajectoryData\\\\\\', \\\\\\'__shnitsel_setup_for_cleanup\\\\\\': True}, _parent=..., _level_name=\\\\\\'DataLeaf\\\\\\'), \\\\\\'5\\\\\\': ABCMeta(_name=\\\\\\'5\\\\\\', _dtype=<class \\\\\\'shnitsel.data.dataset_containers.trajectory.Trajectory\\\\\\'>, _data=Trajectory(_raw_dataset=<xarray.Dataset> Size: 402kB\\\\nDimensions:              (time: 448, state: 3, atom: 14, direction: 3,\\\\n                          statecomb: 3, full_statecomb: 6, energy_criterion: 2,\\\\n                          length_criterion: 2)\\\\nCoordinates: (12/25)\\\\n  * time                 (time) float64 4kB 0.0 0.5 1.0 ... 222.5 223.0 223.5\\\\n  * state                (state) int64 24B 1 2 3\\\\n  * atom                 (atom) int64 112B 0 1 2 3 4 5 6 7 8 9 10 11 12 13\\\\n  * direction            (direction) <U1 12B \\\\\\'x\\\\\\' \\\\\\'y\\\\\\' \\\\\\'z\\\\\\'\\\\n  * statecomb            (statecomb) object 24B MultiIndex\\\\n  * full_statecomb       (full_statecomb) object 48B MultiIndex\\\\n    ...                   ...\\\\n    delta_t              float64 8B 0.5\\\\n    max_ts               int64 8B 450\\\\n    t_max                float64 8B 1e+03\\\\n    charge               float64 8B 1.0\\\\n    energy_thresholds    (energy_criterion) float64 16B 0.7 1.0\\\\n    length_thresholds    (length_criterion) float64 16B 3.0 2.0\\\\nData variables:\\\\n    energy               (time, state) float32 5kB ...\\\\n    forces               (time, state, atom, direction) float32 226kB ...\\\\n    atXYZ                (time, atom, direction) float32 75kB -4.122 ... -0.6151\\\\n    dip_perm             (time, state, direction) float32 16kB ...\\\\n    dip_trans            (time, statecomb, direction) float32 16kB ...\\\\n    socs                 (time, full_statecomb) complex128 43kB ...\\\\n    phases               (time, state) float32 5kB ...\\\\n    energy_filtranda     (energy_criterion, time) float32 4kB 0.0 ... 0.0\\\\n    length_filtranda     (length_criterion, time) float32 4kB 1.461 ... 1.172\\\\nAttributes: (12/17)\\\\n    input_format:           sharc\\\\n    t_max:                  1000.0\\\\n    delta_t:                0.5\\\\n    max_ts:                 450\\\\n    completed:              False\\\\n    input_type:             dynamic\\\\n    ...                     ...\\\\n    misc_input_settings:    {\\\\\\'input\\\\\\': {\\\\\\'printlevel\\\\\\': \\\\\\'2\\\\\\', \\\\\\'geomfile\\\\\\': \\\\\\'"geom"...\\\\n    trajectory_input_path:  retinal_tutorial/I02/TRAJ_00007\\\\n    trajid:                 7\\\\n    DataTree_Level:         TrajectoryData\\\\n    trajectory_id:          914137861\\\\n    __mol:                  <rdkit.Chem.rdchem.Mol object at 0x710aca067f60>, _is_multi_trajectory=False), _children={}, _attrs={\\\\\\'input_format\\\\\\': \\\\\\'sharc\\\\\\', \\\\\\'t_max\\\\\\': 1000.0, \\\\\\'delta_t\\\\\\': 0.5, \\\\\\'max_ts\\\\\\': 450, \\\\\\'completed\\\\\\': False, \\\\\\'input_type\\\\\\': \\\\\\'dynamic\\\\\\', \\\\\\'input_format_version\\\\\\': \\\\\\'3.0\\\\\\', \\\\\\'num_singlets\\\\\\': 3, \\\\\\'num_doublets\\\\\\': 0, \\\\\\'num_triplets\\\\\\': 0, \\\\\\'has_forces\\\\\\': True, \\\\\\'misc_input_settings\\\\\\': {\\\\\\'input\\\\\\': {\\\\\\'printlevel\\\\\\': \\\\\\'2\\\\\\', \\\\\\'geomfile\\\\\\': \\\\\\'"geom"\\\\\\', \\\\\\'veloc\\\\\\': \\\\\\'external\\\\\\', \\\\\\'velocfile\\\\\\': \\\\\\'"veloc"\\\\\\', \\\\\\'nstates\\\\\\': [3], \\\\\\'actstates\\\\\\': \\\\\\'3\\\\\\', \\\\\\'state\\\\\\': \\\\\\'2 mch\\\\\\', \\\\\\'coeff\\\\\\': \\\\\\'auto\\\\\\', \\\\\\'rngseed\\\\\\': \\\\\\'-26082\\\\\\', \\\\\\'ezero\\\\\\': \\\\\\'-248.2781283000\\\\\\', \\\\\\'tmax\\\\\\': \\\\\\'1000.000000\\\\\\', \\\\\\'stepsize\\\\\\': \\\\\\'0.500000\\\\\\', \\\\\\'nsubsteps\\\\\\': \\\\\\'25\\\\\\', \\\\\\'integrator\\\\\\': \\\\\\'fvv\\\\\\', \\\\\\'method\\\\\\': \\\\\\'tsh\\\\\\', \\\\\\'surf\\\\\\': \\\\\\'diagonal\\\\\\', \\\\\\'coupling\\\\\\': \\\\\\'overlap\\\\\\', \\\\\\'nogradcorrect\\\\\\': True, \\\\\\'ekincorrect\\\\\\': \\\\\\'parallel_vel\\\\\\', \\\\\\'reflect_frustrated\\\\\\': \\\\\\'none\\\\\\', \\\\\\'decoherence_scheme\\\\\\': \\\\\\'edc\\\\\\', \\\\\\'decoherence_param\\\\\\': \\\\\\'0.1\\\\\\', \\\\\\'hopping_procedure\\\\\\': \\\\\\'sharc\\\\\\', \\\\\\'grad_all\\\\\\': True, \\\\\\'eselect\\\\\\': \\\\\\'0.001000\\\\\\', \\\\\\'select_directly\\\\\\': True, \\\\\\'nospinorbit\\\\\\': True, \\\\\\'write_grad\\\\\\': True, \\\\\\'write_nacdr\\\\\\': True, \\\\\\'write_overlap\\\\\\': True, \\\\\\'output_format\\\\\\': \\\\\\'ascii\\\\\\', \\\\\\'output_dat_steps\\\\\\': \\\\\\'1\\\\\\'}, \\\\\\'output.dat\\\\\\': {\\\\\\'SHARC_version\\\\\\': \\\\\\'3.0\\\\\\', \\\\\\'method\\\\\\': \\\\\\'0\\\\\\', \\\\\\'integrator\\\\\\': \\\\\\'2\\\\\\', \\\\\\'maxmult\\\\\\': \\\\\\'1\\\\\\', \\\\\\'nstates_m\\\\\\': \\\\\\'3\\\\\\', \\\\\\'natom\\\\\\': \\\\\\'14\\\\\\', \\\\\\'dtstep\\\\\\': \\\\\\'20.670686894780374\\\\\\', \\\\\\'nsteps\\\\\\': \\\\\\'2000\\\\\\', \\\\\\'nsubsteps\\\\\\': \\\\\\'25\\\\\\', \\\\\\'ezero\\\\\\': \\\\\\'-248.27812829999999\\\\\\', \\\\\\'write_overlap\\\\\\': \\\\\\'1\\\\\\', \\\\\\'write_grad\\\\\\': \\\\\\'1\\\\\\', \\\\\\'write_nacdr\\\\\\': \\\\\\'0\\\\\\', \\\\\\'write_property1d\\\\\\': \\\\\\'0\\\\\\', \\\\\\'write_property2d\\\\\\': \\\\\\'0\\\\\\', \\\\\\'n_property1d\\\\\\': \\\\\\'1\\\\\\', \\\\\\'n_property2d\\\\\\': \\\\\\'1\\\\\\', \\\\\\'laser\\\\\\': \\\\\\'0\\\\\\'}, \\\\\\'output.lis\\\\\\': {\\\\\\'nsteps\\\\\\': 450, \\\\\\'delta_t\\\\\\': 0.5, \\\\\\'t_max\\\\\\': 224.5}, \\\\\\'output.log\\\\\\': {\\\\\\'printlevel\\\\\\': \\\\\\'2\\\\\\', \\\\\\'geomfile\\\\\\': \\\\\\'"geom"\\\\\\', \\\\\\'veloc\\\\\\': \\\\\\'external\\\\\\', \\\\\\'velocfile\\\\\\': \\\\\\'"veloc"\\\\\\', \\\\\\'nstates\\\\\\': \\\\\\'3\\\\\\', \\\\\\'actstates\\\\\\': \\\\\\'3\\\\\\', \\\\\\'state\\\\\\': \\\\\\'2 mch\\\\\\', \\\\\\'coeff\\\\\\': \\\\\\'auto\\\\\\', \\\\\\'rngseed\\\\\\': \\\\\\'-26082\\\\\\', \\\\\\'ezero\\\\\\': \\\\\\'-248.2781283000\\\\\\', \\\\\\'tmax\\\\\\': \\\\\\'1000.000000\\\\\\', \\\\\\'stepsize\\\\\\': \\\\\\'0.500000\\\\\\', \\\\\\'nsubsteps\\\\\\': \\\\\\'25\\\\\\', \\\\\\'integrator\\\\\\': \\\\\\'fvv\\\\\\', \\\\\\'method\\\\\\': \\\\\\'tsh\\\\\\', \\\\\\'surf\\\\\\': \\\\\\'diagonal\\\\\\', \\\\\\'coupling\\\\\\': \\\\\\'overlap\\\\\\', \\\\\\'nogradcorrect\\\\\\': True, \\\\\\'ekincorrect\\\\\\': \\\\\\'parallel_vel\\\\\\', \\\\\\'reflect_frustrated\\\\\\': \\\\\\'none\\\\\\', \\\\\\'decoherence_scheme\\\\\\': \\\\\\'edc\\\\\\', \\\\\\'decoherence_param\\\\\\': \\\\\\'0.1\\\\\\', \\\\\\'hopping_procedure\\\\\\': \\\\\\'sharc\\\\\\', \\\\\\'grad_all\\\\\\': True, \\\\\\'eselect\\\\\\': \\\\\\'0.001000\\\\\\', \\\\\\'select_directly\\\\\\': True, \\\\\\'nospinorbit\\\\\\': True, \\\\\\'write_grad\\\\\\': True, \\\\\\'write_nacdr\\\\\\': True, \\\\\\'write_overlap\\\\\\': True, \\\\\\'output_format\\\\\\': \\\\\\'ascii\\\\\\', \\\\\\'output_dat_steps\\\\\\': \\\\\\'1\\\\\\', \\\\\\'version\\\\\\': \\\\\\'3.0\\\\\\'}}, \\\\\\'trajectory_input_path\\\\\\': \\\\\\'retinal_tutorial/I02/TRAJ_00007\\\\\\', \\\\\\'trajid\\\\\\': 7, \\\\\\'DataTree_Level\\\\\\': \\\\\\'TrajectoryData\\\\\\', \\\\\\'__shnitsel_setup_for_cleanup\\\\\\': True}, _parent=..., _level_name=\\\\\\'DataLeaf\\\\\\'), \\\\\\'6\\\\\\': ABCMeta(_name=\\\\\\'6\\\\\\', _dtype=<class \\\\\\'shnitsel.data.dataset_containers.trajectory.Trajectory\\\\\\'>, _data=Trajectory(_raw_dataset=<xarray.Dataset> Size: 397kB\\\\nDimensions:              (time: 442, state: 3, atom: 14, direction: 3,\\\\n                          statecomb: 3, full_statecomb: 6, energy_criterion: 2,\\\\n                          length_criterion: 2)\\\\nCoordinates: (12/25)\\\\n  * time                 (time) float64 4kB 0.0 0.5 1.0 ... 219.5 220.0 220.5\\\\n  * state                (state) int64 24B 1 2 3\\\\n  * atom                 (atom) int64 112B 0 1 2 3 4 5 6 7 8 9 10 11 12 13\\\\n  * direction            (direction) <U1 12B \\\\\\'x\\\\\\' \\\\\\'y\\\\\\' \\\\\\'z\\\\\\'\\\\n  * statecomb            (statecomb) object 24B MultiIndex\\\\n  * full_statecomb       (full_statecomb) object 48B MultiIndex\\\\n    ...                   ...\\\\n    delta_t              float64 8B 0.5\\\\n    max_ts               int64 8B 444\\\\n    t_max                float64 8B 1e+03\\\\n    charge               float64 8B 1.0\\\\n    energy_thresholds    (energy_criterion) float64 16B 0.7 1.0\\\\n    length_thresholds    (length_criterion) float64 16B 3.0 2.0\\\\nData variables:\\\\n    energy               (time, state) float32 5kB ...\\\\n    forces               (time, state, atom, direction) float32 223kB ...\\\\n    atXYZ                (time, atom, direction) float32 74kB -4.135 ... 1.728\\\\n    dip_perm             (time, state, direction) float32 16kB ...\\\\n    dip_trans            (time, statecomb, direction) float32 16kB ...\\\\n    socs                 (time, full_statecomb) complex128 42kB ...\\\\n    phases               (time, state) float32 5kB ...\\\\n    energy_filtranda     (energy_criterion, time) float32 4kB 0.0 0.2627 ... 0.0\\\\n    length_filtranda     (length_criterion, time) float32 4kB 1.412 ... 1.233\\\\nAttributes: (12/17)\\\\n    input_format:           sharc\\\\n    t_max:                  1000.0\\\\n    delta_t:                0.5\\\\n    max_ts:                 444\\\\n    completed:              False\\\\n    input_type:             dynamic\\\\n    ...                     ...\\\\n    misc_input_settings:    {\\\\\\'input\\\\\\': {\\\\\\'printlevel\\\\\\': \\\\\\'2\\\\\\', \\\\\\'geomfile\\\\\\': \\\\\\'"geom"...\\\\n    trajectory_input_path:  retinal_tutorial/I02/TRAJ_00008\\\\n    trajid:                 8\\\\n    DataTree_Level:         TrajectoryData\\\\n    trajectory_id:          683104758\\\\n    __mol:                  <rdkit.Chem.rdchem.Mol object at 0x710aca067420>, _is_multi_trajectory=False), _children={}, _attrs={\\\\\\'input_format\\\\\\': \\\\\\'sharc\\\\\\', \\\\\\'t_max\\\\\\': 1000.0, \\\\\\'delta_t\\\\\\': 0.5, \\\\\\'max_ts\\\\\\': 444, \\\\\\'completed\\\\\\': False, \\\\\\'input_type\\\\\\': \\\\\\'dynamic\\\\\\', \\\\\\'input_format_version\\\\\\': \\\\\\'3.0\\\\\\', \\\\\\'num_singlets\\\\\\': 3, \\\\\\'num_doublets\\\\\\': 0, \\\\\\'num_triplets\\\\\\': 0, \\\\\\'has_forces\\\\\\': True, \\\\\\'misc_input_settings\\\\\\': {\\\\\\'input\\\\\\': {\\\\\\'printlevel\\\\\\': \\\\\\'2\\\\\\', \\\\\\'geomfile\\\\\\': \\\\\\'"geom"\\\\\\', \\\\\\'veloc\\\\\\': \\\\\\'external\\\\\\', \\\\\\'velocfile\\\\\\': \\\\\\'"veloc"\\\\\\', \\\\\\'nstates\\\\\\': [3], \\\\\\'actstates\\\\\\': \\\\\\'3\\\\\\', \\\\\\'state\\\\\\': \\\\\\'2 mch\\\\\\', \\\\\\'coeff\\\\\\': \\\\\\'auto\\\\\\', \\\\\\'rngseed\\\\\\': \\\\\\'2427\\\\\\', \\\\\\'ezero\\\\\\': \\\\\\'-248.2781283000\\\\\\', \\\\\\'tmax\\\\\\': \\\\\\'1000.000000\\\\\\', \\\\\\'stepsize\\\\\\': \\\\\\'0.500000\\\\\\', \\\\\\'nsubsteps\\\\\\': \\\\\\'25\\\\\\', \\\\\\'integrator\\\\\\': \\\\\\'fvv\\\\\\', \\\\\\'method\\\\\\': \\\\\\'tsh\\\\\\', \\\\\\'surf\\\\\\': \\\\\\'diagonal\\\\\\', \\\\\\'coupling\\\\\\': \\\\\\'overlap\\\\\\', \\\\\\'nogradcorrect\\\\\\': True, \\\\\\'ekincorrect\\\\\\': \\\\\\'parallel_vel\\\\\\', \\\\\\'reflect_frustrated\\\\\\': \\\\\\'none\\\\\\', \\\\\\'decoherence_scheme\\\\\\': \\\\\\'edc\\\\\\', \\\\\\'decoherence_param\\\\\\': \\\\\\'0.1\\\\\\', \\\\\\'hopping_procedure\\\\\\': \\\\\\'sharc\\\\\\', \\\\\\'grad_all\\\\\\': True, \\\\\\'eselect\\\\\\': \\\\\\'0.001000\\\\\\', \\\\\\'select_directly\\\\\\': True, \\\\\\'nospinorbit\\\\\\': True, \\\\\\'write_grad\\\\\\': True, \\\\\\'write_nacdr\\\\\\': True, \\\\\\'write_overlap\\\\\\': True, \\\\\\'output_format\\\\\\': \\\\\\'ascii\\\\\\', \\\\\\'output_dat_steps\\\\\\': \\\\\\'1\\\\\\'}, \\\\\\'output.dat\\\\\\': {\\\\\\'SHARC_version\\\\\\': \\\\\\'3.0\\\\\\', \\\\\\'method\\\\\\': \\\\\\'0\\\\\\', \\\\\\'integrator\\\\\\': \\\\\\'2\\\\\\', \\\\\\'maxmult\\\\\\': \\\\\\'1\\\\\\', \\\\\\'nstates_m\\\\\\': \\\\\\'3\\\\\\', \\\\\\'natom\\\\\\': \\\\\\'14\\\\\\', \\\\\\'dtstep\\\\\\': \\\\\\'20.670686894780374\\\\\\', \\\\\\'nsteps\\\\\\': \\\\\\'2000\\\\\\', \\\\\\'nsubsteps\\\\\\': \\\\\\'25\\\\\\', \\\\\\'ezero\\\\\\': \\\\\\'-248.27812829999999\\\\\\', \\\\\\'write_overlap\\\\\\': \\\\\\'1\\\\\\', \\\\\\'write_grad\\\\\\': \\\\\\'1\\\\\\', \\\\\\'write_nacdr\\\\\\': \\\\\\'0\\\\\\', \\\\\\'write_property1d\\\\\\': \\\\\\'0\\\\\\', \\\\\\'write_property2d\\\\\\': \\\\\\'0\\\\\\', \\\\\\'n_property1d\\\\\\': \\\\\\'1\\\\\\', \\\\\\'n_property2d\\\\\\': \\\\\\'1\\\\\\', \\\\\\'laser\\\\\\': \\\\\\'0\\\\\\'}, \\\\\\'output.lis\\\\\\': {\\\\\\'nsteps\\\\\\': 444, \\\\\\'delta_t\\\\\\': 0.5, \\\\\\'t_max\\\\\\': 221.5}, \\\\\\'output.log\\\\\\': {\\\\\\'printlevel\\\\\\': \\\\\\'2\\\\\\', \\\\\\'geomfile\\\\\\': \\\\\\'"geom"\\\\\\', \\\\\\'veloc\\\\\\': \\\\\\'external\\\\\\', \\\\\\'velocfile\\\\\\': \\\\\\'"veloc"\\\\\\', \\\\\\'nstates\\\\\\': \\\\\\'3\\\\\\', \\\\\\'actstates\\\\\\': \\\\\\'3\\\\\\', \\\\\\'state\\\\\\': \\\\\\'2 mch\\\\\\', \\\\\\'coeff\\\\\\': \\\\\\'auto\\\\\\', \\\\\\'rngseed\\\\\\': \\\\\\'2427\\\\\\', \\\\\\'ezero\\\\\\': \\\\\\'-248.2781283000\\\\\\', \\\\\\'tmax\\\\\\': \\\\\\'1000.000000\\\\\\', \\\\\\'stepsize\\\\\\': \\\\\\'0.500000\\\\\\', \\\\\\'nsubsteps\\\\\\': \\\\\\'25\\\\\\', \\\\\\'integrator\\\\\\': \\\\\\'fvv\\\\\\', \\\\\\'method\\\\\\': \\\\\\'tsh\\\\\\', \\\\\\'surf\\\\\\': \\\\\\'diagonal\\\\\\', \\\\\\'coupling\\\\\\': \\\\\\'overlap\\\\\\', \\\\\\'nogradcorrect\\\\\\': True, \\\\\\'ekincorrect\\\\\\': \\\\\\'parallel_vel\\\\\\', \\\\\\'reflect_frustrated\\\\\\': \\\\\\'none\\\\\\', \\\\\\'decoherence_scheme\\\\\\': \\\\\\'edc\\\\\\', \\\\\\'decoherence_param\\\\\\': \\\\\\'0.1\\\\\\', \\\\\\'hopping_procedure\\\\\\': \\\\\\'sharc\\\\\\', \\\\\\'grad_all\\\\\\': True, \\\\\\'eselect\\\\\\': \\\\\\'0.001000\\\\\\', \\\\\\'select_directly\\\\\\': True, \\\\\\'nospinorbit\\\\\\': True, \\\\\\'write_grad\\\\\\': True, \\\\\\'write_nacdr\\\\\\': True, \\\\\\'write_overlap\\\\\\': True, \\\\\\'output_format\\\\\\': \\\\\\'ascii\\\\\\', \\\\\\'output_dat_steps\\\\\\': \\\\\\'1\\\\\\', \\\\\\'version\\\\\\': \\\\\\'3.0\\\\\\'}}, \\\\\\'trajectory_input_path\\\\\\': \\\\\\'retinal_tutorial/I02/TRAJ_00008\\\\\\', \\\\\\'trajid\\\\\\': 8, \\\\\\'DataTree_Level\\\\\\': \\\\\\'TrajectoryData\\\\\\', \\\\\\'__shnitsel_setup_for_cleanup\\\\\\': True}, _parent=..., _level_name=\\\\\\'DataLeaf\\\\\\'), \\\\\\'7\\\\\\': ABCMeta(_name=\\\\\\'7\\\\\\', _dtype=<class \\\\\\'shnitsel.data.dataset_containers.trajectory.Trajectory\\\\\\'>, _data=Trajectory(_raw_dataset=<xarray.Dataset> Size: 71kB\\\\nDimensions:              (time: 78, state: 3, atom: 14, direction: 3,\\\\n                          statecomb: 3, full_statecomb: 6, energy_criterion: 2,\\\\n                          length_criterion: 2)\\\\nCoordinates: (12/25)\\\\n  * time                 (time) float64 624B 0.0 0.5 1.0 1.5 ... 37.5 38.0 38.5\\\\n  * state                (state) int64 24B 1 2 3\\\\n  * atom                 (atom) int64 112B 0 1 2 3 4 5 6 7 8 9 10 11 12 13\\\\n  * direction            (direction) <U1 12B \\\\\\'x\\\\\\' \\\\\\'y\\\\\\' \\\\\\'z\\\\\\'\\\\n  * statecomb            (statecomb) object 24B MultiIndex\\\\n  * full_statecomb       (full_statecomb) object 48B MultiIndex\\\\n    ...                   ...\\\\n    delta_t              float64 8B 0.5\\\\n    max_ts               int64 8B 356\\\\n    t_max                float64 8B 1e+03\\\\n    charge               float64 8B 1.0\\\\n    energy_thresholds    (energy_criterion) float64 16B 0.7 1.0\\\\n    length_thresholds    (length_criterion) float64 16B 3.0 2.0\\\\nData variables:\\\\n    energy               (time, state) float32 936B ...\\\\n    forces               (time, state, atom, direction) float32 39kB ...\\\\n    atXYZ                (time, atom, direction) float32 13kB -4.22 ... -1.146\\\\n    dip_perm             (time, state, direction) float32 3kB ...\\\\n    dip_trans            (time, statecomb, direction) float32 3kB ...\\\\n    socs                 (time, full_statecomb) complex128 7kB ...\\\\n    phases               (time, state) float32 936B ...\\\\n    energy_filtranda     (energy_criterion, time) float32 624B 0.0 ... 0.0\\\\n    length_filtranda     (length_criterion, time) float32 624B 1.42 ... 1.22\\\\nAttributes: (12/17)\\\\n    input_format:           sharc\\\\n    t_max:                  1000.0\\\\n    delta_t:                0.5\\\\n    max_ts:                 356\\\\n    completed:              False\\\\n    input_type:             dynamic\\\\n    ...                     ...\\\\n    misc_input_settings:    {\\\\\\'input\\\\\\': {\\\\\\'printlevel\\\\\\': \\\\\\'2\\\\\\', \\\\\\'geomfile\\\\\\': \\\\\\'"geom"...\\\\n    trajectory_input_path:  retinal_tutorial/I02/TRAJ_00009\\\\n    trajid:                 9\\\\n    DataTree_Level:         TrajectoryData\\\\n    trajectory_id:          1365445213\\\\n    __mol:                  <rdkit.Chem.rdchem.Mol object at 0x710aca066ed0>, _is_multi_trajectory=False), _children={}, _attrs={\\\\\\'input_format\\\\\\': \\\\\\'sharc\\\\\\', \\\\\\'t_max\\\\\\': 1000.0, \\\\\\'delta_t\\\\\\': 0.5, \\\\\\'max_ts\\\\\\': 356, \\\\\\'completed\\\\\\': False, \\\\\\'input_type\\\\\\': \\\\\\'dynamic\\\\\\', \\\\\\'input_format_version\\\\\\': \\\\\\'3.0\\\\\\', \\\\\\'num_singlets\\\\\\': 3, \\\\\\'num_doublets\\\\\\': 0, \\\\\\'num_triplets\\\\\\': 0, 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\\\\\\'retinal_tutorial/I02/TRAJ_00009\\\\\\', \\\\\\'trajid\\\\\\': 9, \\\\\\'DataTree_Level\\\\\\': \\\\\\'TrajectoryData\\\\\\', \\\\\\'__shnitsel_setup_for_cleanup\\\\\\': True}, _parent=..., _level_name=\\\\\\'DataLeaf\\\\\\'), \\\\\\'8\\\\\\': ABCMeta(_name=\\\\\\'8\\\\\\', _dtype=<class \\\\\\'shnitsel.data.dataset_containers.trajectory.Trajectory\\\\\\'>, _data=Trajectory(_raw_dataset=<xarray.Dataset> Size: 116kB\\\\nDimensions:              (time: 128, state: 3, atom: 14, direction: 3,\\\\n                          statecomb: 3, full_statecomb: 6, energy_criterion: 2,\\\\n                          length_criterion: 2)\\\\nCoordinates: (12/25)\\\\n  * time                 (time) float64 1kB 0.0 0.5 1.0 1.5 ... 62.5 63.0 63.5\\\\n  * state                (state) int64 24B 1 2 3\\\\n  * atom                 (atom) int64 112B 0 1 2 3 4 5 6 7 8 9 10 11 12 13\\\\n  * direction            (direction) <U1 12B \\\\\\'x\\\\\\' \\\\\\'y\\\\\\' \\\\\\'z\\\\\\'\\\\n  * statecomb            (statecomb) object 24B MultiIndex\\\\n  * full_statecomb       (full_statecomb) object 48B MultiIndex\\\\n    ...                   ...\\\\n    delta_t              float64 8B 0.5\\\\n    max_ts               int64 8B 447\\\\n    t_max                float64 8B 1e+03\\\\n    charge               float64 8B 1.0\\\\n    energy_thresholds    (energy_criterion) float64 16B 0.7 1.0\\\\n    length_thresholds    (length_criterion) float64 16B 3.0 2.0\\\\nData variables:\\\\n    energy               (time, state) float32 2kB ...\\\\n    forces               (time, state, atom, direction) float32 65kB ...\\\\n    atXYZ                (time, atom, direction) float32 22kB -4.286 ... -0.69\\\\n    dip_perm             (time, state, direction) float32 5kB ...\\\\n    dip_trans            (time, statecomb, direction) float32 5kB ...\\\\n    socs                 (time, full_statecomb) complex128 12kB ...\\\\n    phases               (time, state) float32 2kB ...\\\\n    energy_filtranda     (energy_criterion, time) float32 1kB 0.0 0.3184 ... 0.0\\\\n    length_filtranda     (length_criterion, time) float32 1kB 1.46 ... 1.224\\\\nAttributes: (12/17)\\\\n    input_format:           sharc\\\\n    t_max:                  1000.0\\\\n    delta_t:                0.5\\\\n    max_ts:                 447\\\\n    completed:              False\\\\n    input_type:             dynamic\\\\n    ...                     ...\\\\n    misc_input_settings:    {\\\\\\'input\\\\\\': {\\\\\\'printlevel\\\\\\': \\\\\\'2\\\\\\', \\\\\\'geomfile\\\\\\': \\\\\\'"geom"...\\\\n    trajectory_input_path:  retinal_tutorial/I02/TRAJ_00010\\\\n    trajid:                 10\\\\n    DataTree_Level:         TrajectoryData\\\\n    trajectory_id:          1705053393\\\\n    __mol:                  <rdkit.Chem.rdchem.Mol object at 0x710aca073d80>, _is_multi_trajectory=False), _children={}, _attrs={\\\\\\'input_format\\\\\\': \\\\\\'sharc\\\\\\', \\\\\\'t_max\\\\\\': 1000.0, \\\\\\'delta_t\\\\\\': 0.5, \\\\\\'max_ts\\\\\\': 447, \\\\\\'completed\\\\\\': False, \\\\\\'input_type\\\\\\': \\\\\\'dynamic\\\\\\', \\\\\\'input_format_version\\\\\\': \\\\\\'3.0\\\\\\', \\\\\\'num_singlets\\\\\\': 3, \\\\\\'num_doublets\\\\\\': 0, \\\\\\'num_triplets\\\\\\': 0, \\\\\\'has_forces\\\\\\': True, \\\\\\'misc_input_settings\\\\\\': {\\\\\\'input\\\\\\': {\\\\\\'printlevel\\\\\\': \\\\\\'2\\\\\\', \\\\\\'geomfile\\\\\\': \\\\\\'"geom"\\\\\\', \\\\\\'veloc\\\\\\': \\\\\\'external\\\\\\', \\\\\\'velocfile\\\\\\': \\\\\\'"veloc"\\\\\\', \\\\\\'nstates\\\\\\': [3], \\\\\\'actstates\\\\\\': \\\\\\'3\\\\\\', \\\\\\'state\\\\\\': \\\\\\'2 mch\\\\\\', \\\\\\'coeff\\\\\\': \\\\\\'auto\\\\\\', \\\\\\'rngseed\\\\\\': \\\\\\'-17512\\\\\\', \\\\\\'ezero\\\\\\': \\\\\\'-248.2781283000\\\\\\', \\\\\\'tmax\\\\\\': \\\\\\'1000.000000\\\\\\', \\\\\\'stepsize\\\\\\': \\\\\\'0.500000\\\\\\', \\\\\\'nsubsteps\\\\\\': \\\\\\'25\\\\\\', \\\\\\'integrator\\\\\\': \\\\\\'fvv\\\\\\', \\\\\\'method\\\\\\': 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\\\\\\'write_nacdr\\\\\\': True, \\\\\\'write_overlap\\\\\\': True, \\\\\\'output_format\\\\\\': \\\\\\'ascii\\\\\\', \\\\\\'output_dat_steps\\\\\\': \\\\\\'1\\\\\\', \\\\\\'version\\\\\\': \\\\\\'3.0\\\\\\'}}, \\\\\\'trajectory_input_path\\\\\\': \\\\\\'retinal_tutorial/I02/TRAJ_00010\\\\\\', \\\\\\'trajid\\\\\\': 10, \\\\\\'DataTree_Level\\\\\\': \\\\\\'TrajectoryData\\\\\\', \\\\\\'__shnitsel_setup_for_cleanup\\\\\\': True}, _parent=..., _level_name=\\\\\\'DataLeaf\\\\\\'), \\\\\\'9\\\\\\': ABCMeta(_name=\\\\\\'9\\\\\\', _dtype=<class \\\\\\'shnitsel.data.dataset_containers.trajectory.Trajectory\\\\\\'>, _data=Trajectory(_raw_dataset=<xarray.Dataset> Size: 395kB\\\\nDimensions:              (time: 440, state: 3, atom: 14, direction: 3,\\\\n                          statecomb: 3, full_statecomb: 6, energy_criterion: 2,\\\\n                          length_criterion: 2)\\\\nCoordinates: (12/25)\\\\n  * time                 (time) float64 4kB 0.0 0.5 1.0 ... 218.5 219.0 219.5\\\\n  * state                (state) int64 24B 1 2 3\\\\n  * atom                 (atom) int64 112B 0 1 2 3 4 5 6 7 8 9 10 11 12 13\\\\n  * direction            (direction) <U1 12B \\\\\\'x\\\\\\' \\\\\\'y\\\\\\' \\\\\\'z\\\\\\'\\\\n  * statecomb            (statecomb) object 24B MultiIndex\\\\n  * full_statecomb       (full_statecomb) object 48B MultiIndex\\\\n    ...                   ...\\\\n    delta_t              float64 8B 0.5\\\\n    max_ts               int64 8B 442\\\\n    t_max                float64 8B 1e+03\\\\n    charge               float64 8B 1.0\\\\n    energy_thresholds    (energy_criterion) float64 16B 0.7 1.0\\\\n    length_thresholds    (length_criterion) float64 16B 3.0 2.0\\\\nData variables:\\\\n    energy               (time, state) float32 5kB ...\\\\n    forces               (time, state, atom, direction) float32 222kB ...\\\\n    atXYZ                (time, atom, direction) float32 74kB -4.307 ... 3.564\\\\n    dip_perm             (time, state, direction) float32 16kB ...\\\\n    dip_trans            (time, statecomb, direction) float32 16kB ...\\\\n    socs                 (time, full_statecomb) complex128 42kB ...\\\\n    phases               (time, state) float32 5kB ...\\\\n    energy_filtranda     (energy_criterion, time) float32 4kB 0.0 ... 0.0\\\\n    length_filtranda     (length_criterion, time) float32 4kB 1.449 ... 1.186\\\\nAttributes: (12/17)\\\\n    input_format:           sharc\\\\n    t_max:                  1000.0\\\\n    delta_t:                0.5\\\\n    max_ts:                 442\\\\n    completed:              False\\\\n    input_type:             dynamic\\\\n    ...                     ...\\\\n    misc_input_settings:    {\\\\\\'input\\\\\\': {\\\\\\'printlevel\\\\\\': \\\\\\'2\\\\\\', \\\\\\'geomfile\\\\\\': \\\\\\'"geom"...\\\\n    trajectory_input_path:  retinal_tutorial/I02/TRAJ_00012\\\\n    trajid:                 12\\\\n    DataTree_Level:         TrajectoryData\\\\n    trajectory_id:          211856516\\\\n    __mol:                  <rdkit.Chem.rdchem.Mol object at 0x710aca072f70>, _is_multi_trajectory=False), _children={}, _attrs={\\\\\\'input_format\\\\\\': \\\\\\'sharc\\\\\\', \\\\\\'t_max\\\\\\': 1000.0, \\\\\\'delta_t\\\\\\': 0.5, \\\\\\'max_ts\\\\\\': 442, \\\\\\'completed\\\\\\': False, \\\\\\'input_type\\\\\\': \\\\\\'dynamic\\\\\\', \\\\\\'input_format_version\\\\\\': \\\\\\'3.0\\\\\\', \\\\\\'num_singlets\\\\\\': 3, \\\\\\'num_doublets\\\\\\': 0, \\\\\\'num_triplets\\\\\\': 0, \\\\\\'has_forces\\\\\\': True, \\\\\\'misc_input_settings\\\\\\': {\\\\\\'input\\\\\\': {\\\\\\'printlevel\\\\\\': \\\\\\'2\\\\\\', \\\\\\'geomfile\\\\\\': \\\\\\'"geom"\\\\\\', \\\\\\'veloc\\\\\\': \\\\\\'external\\\\\\', \\\\\\'velocfile\\\\\\': \\\\\\'"veloc"\\\\\\', \\\\\\'nstates\\\\\\': [3], \\\\\\'actstates\\\\\\': \\\\\\'3\\\\\\', \\\\\\'state\\\\\\': \\\\\\'2 mch\\\\\\', \\\\\\'coeff\\\\\\': \\\\\\'auto\\\\\\', \\\\\\'rngseed\\\\\\': \\\\\\'-2750\\\\\\', \\\\\\'ezero\\\\\\': \\\\\\'-248.2781283000\\\\\\', \\\\\\'tmax\\\\\\': \\\\\\'1000.000000\\\\\\', \\\\\\'stepsize\\\\\\': \\\\\\'0.500000\\\\\\', \\\\\\'nsubsteps\\\\\\': \\\\\\'25\\\\\\', \\\\\\'integrator\\\\\\': \\\\\\'fvv\\\\\\', \\\\\\'method\\\\\\': \\\\\\'tsh\\\\\\', \\\\\\'surf\\\\\\': \\\\\\'diagonal\\\\\\', \\\\\\'coupling\\\\\\': \\\\\\'overlap\\\\\\', \\\\\\'nogradcorrect\\\\\\': True, \\\\\\'ekincorrect\\\\\\': \\\\\\'parallel_vel\\\\\\', \\\\\\'reflect_frustrated\\\\\\': \\\\\\'none\\\\\\', \\\\\\'decoherence_scheme\\\\\\': \\\\\\'edc\\\\\\', \\\\\\'decoherence_param\\\\\\': \\\\\\'0.1\\\\\\', \\\\\\'hopping_procedure\\\\\\': \\\\\\'sharc\\\\\\', \\\\\\'grad_all\\\\\\': True, \\\\\\'eselect\\\\\\': \\\\\\'0.001000\\\\\\', \\\\\\'select_directly\\\\\\': True, \\\\\\'nospinorbit\\\\\\': True, \\\\\\'write_grad\\\\\\': True, \\\\\\'write_nacdr\\\\\\': True, \\\\\\'write_overlap\\\\\\': True, \\\\\\'output_format\\\\\\': \\\\\\'ascii\\\\\\', \\\\\\'output_dat_steps\\\\\\': \\\\\\'1\\\\\\'}, \\\\\\'output.dat\\\\\\': {\\\\\\'SHARC_version\\\\\\': \\\\\\'3.0\\\\\\', \\\\\\'method\\\\\\': \\\\\\'0\\\\\\', \\\\\\'integrator\\\\\\': \\\\\\'2\\\\\\', \\\\\\'maxmult\\\\\\': \\\\\\'1\\\\\\', \\\\\\'nstates_m\\\\\\': \\\\\\'3\\\\\\', \\\\\\'natom\\\\\\': \\\\\\'14\\\\\\', \\\\\\'dtstep\\\\\\': \\\\\\'20.670686894780374\\\\\\', \\\\\\'nsteps\\\\\\': \\\\\\'2000\\\\\\', \\\\\\'nsubsteps\\\\\\': \\\\\\'25\\\\\\', \\\\\\'ezero\\\\\\': \\\\\\'-248.27812829999999\\\\\\', \\\\\\'write_overlap\\\\\\': \\\\\\'1\\\\\\', \\\\\\'write_grad\\\\\\': \\\\\\'1\\\\\\', \\\\\\'write_nacdr\\\\\\': \\\\\\'0\\\\\\', \\\\\\'write_property1d\\\\\\': \\\\\\'0\\\\\\', \\\\\\'write_property2d\\\\\\': \\\\\\'0\\\\\\', \\\\\\'n_property1d\\\\\\': \\\\\\'1\\\\\\', \\\\\\'n_property2d\\\\\\': \\\\\\'1\\\\\\', \\\\\\'laser\\\\\\': \\\\\\'0\\\\\\'}, \\\\\\'output.lis\\\\\\': {\\\\\\'nsteps\\\\\\': 442, \\\\\\'delta_t\\\\\\': 0.5, \\\\\\'t_max\\\\\\': 220.5}, \\\\\\'output.log\\\\\\': {\\\\\\'printlevel\\\\\\': \\\\\\'2\\\\\\', \\\\\\'geomfile\\\\\\': \\\\\\'"geom"\\\\\\', \\\\\\'veloc\\\\\\': \\\\\\'external\\\\\\', \\\\\\'velocfile\\\\\\': \\\\\\'"veloc"\\\\\\', \\\\\\'nstates\\\\\\': \\\\\\'3\\\\\\', \\\\\\'actstates\\\\\\': \\\\\\'3\\\\\\', \\\\\\'state\\\\\\': \\\\\\'2 mch\\\\\\', \\\\\\'coeff\\\\\\': \\\\\\'auto\\\\\\', \\\\\\'rngseed\\\\\\': \\\\\\'-2750\\\\\\', \\\\\\'ezero\\\\\\': \\\\\\'-248.2781283000\\\\\\', \\\\\\'tmax\\\\\\': \\\\\\'1000.000000\\\\\\', \\\\\\'stepsize\\\\\\': \\\\\\'0.500000\\\\\\', \\\\\\'nsubsteps\\\\\\': \\\\\\'25\\\\\\', \\\\\\'integrator\\\\\\': \\\\\\'fvv\\\\\\', \\\\\\'method\\\\\\': \\\\\\'tsh\\\\\\', \\\\\\'surf\\\\\\': \\\\\\'diagonal\\\\\\', \\\\\\'coupling\\\\\\': \\\\\\'overlap\\\\\\', \\\\\\'nogradcorrect\\\\\\': True, \\\\\\'ekincorrect\\\\\\': \\\\\\'parallel_vel\\\\\\', \\\\\\'reflect_frustrated\\\\\\': \\\\\\'none\\\\\\', \\\\\\'decoherence_scheme\\\\\\': \\\\\\'edc\\\\\\', \\\\\\'decoherence_param\\\\\\': \\\\\\'0.1\\\\\\', \\\\\\'hopping_procedure\\\\\\': \\\\\\'sharc\\\\\\', \\\\\\'grad_all\\\\\\': True, \\\\\\'eselect\\\\\\': \\\\\\'0.001000\\\\\\', \\\\\\'select_directly\\\\\\': True, \\\\\\'nospinorbit\\\\\\': True, \\\\\\'write_grad\\\\\\': True, \\\\\\'write_nacdr\\\\\\': True, \\\\\\'write_overlap\\\\\\': True, \\\\\\'output_format\\\\\\': \\\\\\'ascii\\\\\\', \\\\\\'output_dat_steps\\\\\\': \\\\\\'1\\\\\\', \\\\\\'version\\\\\\': \\\\\\'3.0\\\\\\'}}, \\\\\\'trajectory_input_path\\\\\\': \\\\\\'retinal_tutorial/I02/TRAJ_00012\\\\\\', \\\\\\'trajid\\\\\\': 12, \\\\\\'DataTree_Level\\\\\\': \\\\\\'TrajectoryData\\\\\\', \\\\\\'__shnitsel_setup_for_cleanup\\\\\\': True}, _parent=..., _level_name=\\\\\\'DataLeaf\\\\\\'), \\\\\\'10\\\\\\': ABCMeta(_name=\\\\\\'10\\\\\\', _dtype=<class \\\\\\'shnitsel.data.dataset_containers.trajectory.Trajectory\\\\\\'>, _data=Trajectory(_raw_dataset=<xarray.Dataset> Size: 403kB\\\\nDimensions:              (time: 449, state: 3, atom: 14, direction: 3,\\\\n                          statecomb: 3, full_statecomb: 6, energy_criterion: 2,\\\\n                          length_criterion: 2)\\\\nCoordinates: (12/25)\\\\n  * time                 (time) float64 4kB 0.0 0.5 1.0 ... 223.0 223.5 224.0\\\\n  * state                (state) int64 24B 1 2 3\\\\n  * atom                 (atom) int64 112B 0 1 2 3 4 5 6 7 8 9 10 11 12 13\\\\n  * direction            (direction) <U1 12B \\\\\\'x\\\\\\' \\\\\\'y\\\\\\' \\\\\\'z\\\\\\'\\\\n  * statecomb            (statecomb) object 24B MultiIndex\\\\n  * full_statecomb       (full_statecomb) object 48B MultiIndex\\\\n    ...                   ...\\\\n    delta_t              float64 8B 0.5\\\\n    max_ts               int64 8B 451\\\\n    t_max                float64 8B 1e+03\\\\n    charge               float64 8B 1.0\\\\n    energy_thresholds    (energy_criterion) float64 16B 0.7 1.0\\\\n    length_thresholds    (length_criterion) float64 16B 3.0 2.0\\\\nData variables:\\\\n    energy               (time, state) 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\\\\\\'geomfile\\\\\\': \\\\\\'"geom"...\\\\n    trajectory_input_path:  retinal_tutorial/I02/TRAJ_00013\\\\n    trajid:                 13\\\\n    DataTree_Level:         TrajectoryData\\\\n    trajectory_id:          376892732\\\\n    __mol:                  <rdkit.Chem.rdchem.Mol object at 0x710aca072930>, _is_multi_trajectory=False), _children={}, _attrs={\\\\\\'input_format\\\\\\': \\\\\\'sharc\\\\\\', \\\\\\'t_max\\\\\\': 1000.0, \\\\\\'delta_t\\\\\\': 0.5, \\\\\\'max_ts\\\\\\': 451, \\\\\\'completed\\\\\\': False, \\\\\\'input_type\\\\\\': \\\\\\'dynamic\\\\\\', \\\\\\'input_format_version\\\\\\': \\\\\\'3.0\\\\\\', \\\\\\'num_singlets\\\\\\': 3, \\\\\\'num_doublets\\\\\\': 0, \\\\\\'num_triplets\\\\\\': 0, \\\\\\'has_forces\\\\\\': True, \\\\\\'misc_input_settings\\\\\\': {\\\\\\'input\\\\\\': {\\\\\\'printlevel\\\\\\': \\\\\\'2\\\\\\', \\\\\\'geomfile\\\\\\': \\\\\\'"geom"\\\\\\', \\\\\\'veloc\\\\\\': \\\\\\'external\\\\\\', \\\\\\'velocfile\\\\\\': \\\\\\'"veloc"\\\\\\', 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\\\\\\'retinal_tutorial/I02/TRAJ_00014\\\\\\', \\\\\\'trajid\\\\\\': 14, \\\\\\'DataTree_Level\\\\\\': \\\\\\'TrajectoryData\\\\\\', \\\\\\'__shnitsel_setup_for_cleanup\\\\\\': True}, _parent=..., _level_name=\\\\\\'DataLeaf\\\\\\'), \\\\\\'12\\\\\\': ABCMeta(_name=\\\\\\'12\\\\\\', _dtype=<class \\\\\\'shnitsel.data.dataset_containers.trajectory.Trajectory\\\\\\'>, _data=Trajectory(_raw_dataset=<xarray.Dataset> Size: 387kB\\\\nDimensions:              (time: 431, state: 3, atom: 14, direction: 3,\\\\n                          statecomb: 3, full_statecomb: 6, energy_criterion: 2,\\\\n                          length_criterion: 2)\\\\nCoordinates: (12/25)\\\\n  * time                 (time) float64 3kB 0.0 0.5 1.0 ... 214.0 214.5 215.0\\\\n  * state                (state) int64 24B 1 2 3\\\\n  * atom                 (atom) int64 112B 0 1 2 3 4 5 6 7 8 9 10 11 12 13\\\\n  * direction            (direction) <U1 12B \\\\\\'x\\\\\\' \\\\\\'y\\\\\\' \\\\\\'z\\\\\\'\\\\n  * statecomb            (statecomb) object 24B MultiIndex\\\\n  * full_statecomb       (full_statecomb) object 48B MultiIndex\\\\n    ...                   ...\\\\n    delta_t              float64 8B 0.5\\\\n    max_ts               int64 8B 450\\\\n    t_max                float64 8B 1e+03\\\\n    charge               float64 8B 1.0\\\\n    energy_thresholds    (energy_criterion) float64 16B 0.7 1.0\\\\n    length_thresholds    (length_criterion) float64 16B 3.0 2.0\\\\nData variables:\\\\n    energy               (time, state) float32 5kB ...\\\\n    forces               (time, state, atom, direction) float32 217kB ...\\\\n    atXYZ                (time, atom, direction) float32 72kB -4.141 ... 1.27\\\\n    dip_perm             (time, state, direction) float32 16kB ...\\\\n    dip_trans            (time, statecomb, direction) float32 16kB ...\\\\n    socs                 (time, full_statecomb) complex128 41kB ...\\\\n    phases               (time, state) float32 5kB ...\\\\n    energy_filtranda     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\\\\\\'max_ts\\\\\\': 450, \\\\\\'completed\\\\\\': False, \\\\\\'input_type\\\\\\': \\\\\\'dynamic\\\\\\', \\\\\\'input_format_version\\\\\\': \\\\\\'3.0\\\\\\', \\\\\\'num_singlets\\\\\\': 3, \\\\\\'num_doublets\\\\\\': 0, \\\\\\'num_triplets\\\\\\': 0, \\\\\\'has_forces\\\\\\': True, \\\\\\'misc_input_settings\\\\\\': {\\\\\\'input\\\\\\': {\\\\\\'printlevel\\\\\\': \\\\\\'2\\\\\\', \\\\\\'geomfile\\\\\\': \\\\\\'"geom"\\\\\\', \\\\\\'veloc\\\\\\': \\\\\\'external\\\\\\', \\\\\\'velocfile\\\\\\': \\\\\\'"veloc"\\\\\\', \\\\\\'nstates\\\\\\': [3], \\\\\\'actstates\\\\\\': \\\\\\'3\\\\\\', \\\\\\'state\\\\\\': \\\\\\'2 mch\\\\\\', \\\\\\'coeff\\\\\\': \\\\\\'auto\\\\\\', \\\\\\'rngseed\\\\\\': \\\\\\'-29587\\\\\\', \\\\\\'ezero\\\\\\': \\\\\\'-248.2781283000\\\\\\', \\\\\\'tmax\\\\\\': \\\\\\'1000.000000\\\\\\', \\\\\\'stepsize\\\\\\': \\\\\\'0.500000\\\\\\', \\\\\\'nsubsteps\\\\\\': \\\\\\'25\\\\\\', \\\\\\'integrator\\\\\\': \\\\\\'fvv\\\\\\', \\\\\\'method\\\\\\': 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\\\\\\'write_nacdr\\\\\\': True, \\\\\\'write_overlap\\\\\\': True, \\\\\\'output_format\\\\\\': \\\\\\'ascii\\\\\\', \\\\\\'output_dat_steps\\\\\\': \\\\\\'1\\\\\\', \\\\\\'version\\\\\\': \\\\\\'3.0\\\\\\'}}, \\\\\\'trajectory_input_path\\\\\\': \\\\\\'retinal_tutorial/I02/TRAJ_00017\\\\\\', \\\\\\'trajid\\\\\\': 17, \\\\\\'DataTree_Level\\\\\\': \\\\\\'TrajectoryData\\\\\\', \\\\\\'__shnitsel_setup_for_cleanup\\\\\\': True}, _parent=..., _level_name=\\\\\\'DataLeaf\\\\\\'), \\\\\\'13\\\\\\': ABCMeta(_name=\\\\\\'13\\\\\\', _dtype=<class \\\\\\'shnitsel.data.dataset_containers.trajectory.Trajectory\\\\\\'>, _data=Trajectory(_raw_dataset=<xarray.Dataset> Size: 184kB\\\\nDimensions:              (time: 204, state: 3, atom: 14, direction: 3,\\\\n                          statecomb: 3, full_statecomb: 6, energy_criterion: 2,\\\\n                          length_criterion: 2)\\\\nCoordinates: (12/25)\\\\n  * time                 (time) float64 2kB 0.0 0.5 1.0 ... 100.5 101.0 101.5\\\\n  * state                (state) int64 24B 1 2 3\\\\n  * atom                 (atom) int64 112B 0 1 2 3 4 5 6 7 8 9 10 11 12 13\\\\n  * direction            (direction) <U1 12B \\\\\\'x\\\\\\' \\\\\\'y\\\\\\' \\\\\\'z\\\\\\'\\\\n  * statecomb            (statecomb) object 24B MultiIndex\\\\n  * full_statecomb       (full_statecomb) object 48B MultiIndex\\\\n    ...                   ...\\\\n    delta_t              float64 8B 0.5\\\\n    max_ts               int64 8B 449\\\\n    t_max                float64 8B 1e+03\\\\n    charge               float64 8B 1.0\\\\n    energy_thresholds    (energy_criterion) float64 16B 0.7 1.0\\\\n    length_thresholds    (length_criterion) float64 16B 3.0 2.0\\\\nData variables:\\\\n    energy               (time, state) float32 2kB ...\\\\n    forces               (time, state, atom, direction) float32 103kB ...\\\\n    atXYZ                (time, atom, direction) float32 34kB -4.269 ... -1.398\\\\n    dip_perm             (time, state, direction) float32 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         statecomb: 3, full_statecomb: 6, energy_criterion: 2,\\\\n                          length_criterion: 2)\\\\nCoordinates: (12/25)\\\\n  * time                 (time) float64 40B 0.0 0.5 1.0 1.5 2.0\\\\n  * state                (state) int64 24B 1 2 3\\\\n  * atom                 (atom) int64 112B 0 1 2 3 4 5 6 7 8 9 10 11 12 13\\\\n  * direction            (direction) <U1 12B \\\\\\'x\\\\\\' \\\\\\'y\\\\\\' \\\\\\'z\\\\\\'\\\\n  * statecomb            (statecomb) object 24B MultiIndex\\\\n  * full_statecomb       (full_statecomb) object 48B MultiIndex\\\\n    ...                   ...\\\\n    delta_t              float64 8B 0.5\\\\n    max_ts               int64 8B 335\\\\n    t_max                float64 8B 1e+03\\\\n    charge               float64 8B 1.0\\\\n    energy_thresholds    (energy_criterion) float64 16B 0.7 1.0\\\\n    length_thresholds    (length_criterion) float64 16B 3.0 2.0\\\\nData variables:\\\\n    energy               (time, state) float32 60B ...\\\\n    forces               (time, state, atom, direction) float32 3kB ...\\\\n    atXYZ                (time, atom, direction) float32 840B -4.484 ... 0.5728\\\\n    dip_perm             (time, state, direction) float32 180B ...\\\\n    dip_trans            (time, statecomb, direction) float32 180B ...\\\\n    socs                 (time, full_statecomb) complex128 480B ...\\\\n    phases               (time, state) float32 60B ...\\\\n    energy_filtranda     (energy_criterion, time) float32 40B 0.0 ... 0.0\\\\n    length_filtranda     (length_criterion, time) float32 40B 1.44 ... 1.267\\\\nAttributes: (12/17)\\\\n    input_format:           sharc\\\\n    t_max:                  1000.0\\\\n    delta_t:                0.5\\\\n    max_ts:                 335\\\\n    completed:              False\\\\n    input_type:             dynamic\\\\n    ...                     ...\\\\n    misc_input_settings:    {\\\\\\'input\\\\\\': {\\\\\\'printlevel\\\\\\': \\\\\\'2\\\\\\', \\\\\\'geomfile\\\\\\': 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True, \\\\\\'eselect\\\\\\': \\\\\\'0.001000\\\\\\', \\\\\\'select_directly\\\\\\': True, \\\\\\'nospinorbit\\\\\\': True, \\\\\\'write_grad\\\\\\': True, \\\\\\'write_nacdr\\\\\\': True, \\\\\\'write_overlap\\\\\\': True, \\\\\\'output_format\\\\\\': \\\\\\'ascii\\\\\\', \\\\\\'output_dat_steps\\\\\\': \\\\\\'1\\\\\\', \\\\\\'version\\\\\\': \\\\\\'3.0\\\\\\'}}, \\\\\\'trajectory_input_path\\\\\\': \\\\\\'retinal_tutorial/I02/TRAJ_00006\\\\\\', \\\\\\'trajid\\\\\\': 6, \\\\\\'DataTree_Level\\\\\\': \\\\\\'TrajectoryData\\\\\\', \\\\\\'__shnitsel_setup_for_cleanup\\\\\\': True}, _parent=..., _level_name=\\\\\\'DataLeaf\\\\\\'), \\\\\\'5\\\\\\': ABCMeta(_name=\\\\\\'5\\\\\\', _dtype=, _data=Trajectory(_raw_dataset= Size: 402kB\\\\nDimensions: (time: 448, state: 3, atom: 14, direction: 3,\\\\n statecomb: 3, full_statecomb: 6, energy_criterion: 2,\\\\n length_criterion: 2)\\\\nCoordinates: (12/25)\\\\n * time (time) float64 4kB 0.0 0.5 1.0 ... 222.5 223.0 223.5\\\\n * state (state) int64 24B 1 2 3\\\\n * atom (atom) int64 112B 0 1 2 3 4 5 6 7 8 9 10 11 12 13\\\\n * direction (direction) , _is_multi_trajectory=False), _children={}, _attrs={\\\\\\'input_format\\\\\\': \\\\\\'sharc\\\\\\', \\\\\\'t_max\\\\\\': 1000.0, \\\\\\'delta_t\\\\\\': 0.5, \\\\\\'max_ts\\\\\\': 450, \\\\\\'completed\\\\\\': False, \\\\\\'input_type\\\\\\': \\\\\\'dynamic\\\\\\', \\\\\\'input_format_version\\\\\\': \\\\\\'3.0\\\\\\', \\\\\\'num_singlets\\\\\\': 3, \\\\\\'num_doublets\\\\\\': 0, \\\\\\'num_triplets\\\\\\': 0, \\\\\\'has_forces\\\\\\': True, \\\\\\'misc_input_settings\\\\\\': {\\\\\\'input\\\\\\': {\\\\\\'printlevel\\\\\\': \\\\\\'2\\\\\\', \\\\\\'geomfile\\\\\\': \\\\\\'\"geom\"\\\\\\', \\\\\\'veloc\\\\\\': \\\\\\'external\\\\\\', \\\\\\'velocfile\\\\\\': \\\\\\'\"veloc\"\\\\\\', \\\\\\'nstates\\\\\\': [3], \\\\\\'actstates\\\\\\': \\\\\\'3\\\\\\', \\\\\\'state\\\\\\': \\\\\\'2 mch\\\\\\', \\\\\\'coeff\\\\\\': \\\\\\'auto\\\\\\', \\\\\\'rngseed\\\\\\': \\\\\\'-26082\\\\\\', 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{\\\\\\'printlevel\\\\\\': \\\\\\'2\\\\\\', \\\\\\'geomfile\\\\\\': \\\\\\'\"geom\"\\\\\\', \\\\\\'veloc\\\\\\': \\\\\\'external\\\\\\', \\\\\\'velocfile\\\\\\': \\\\\\'\"veloc\"\\\\\\', \\\\\\'nstates\\\\\\': \\\\\\'3\\\\\\', \\\\\\'actstates\\\\\\': \\\\\\'3\\\\\\', \\\\\\'state\\\\\\': \\\\\\'2 mch\\\\\\', \\\\\\'coeff\\\\\\': \\\\\\'auto\\\\\\', \\\\\\'rngseed\\\\\\': \\\\\\'-26082\\\\\\', \\\\\\'ezero\\\\\\': \\\\\\'-248.2781283000\\\\\\', \\\\\\'tmax\\\\\\': \\\\\\'1000.000000\\\\\\', \\\\\\'stepsize\\\\\\': \\\\\\'0.500000\\\\\\', \\\\\\'nsubsteps\\\\\\': \\\\\\'25\\\\\\', \\\\\\'integrator\\\\\\': \\\\\\'fvv\\\\\\', \\\\\\'method\\\\\\': \\\\\\'tsh\\\\\\', \\\\\\'surf\\\\\\': \\\\\\'diagonal\\\\\\', \\\\\\'coupling\\\\\\': \\\\\\'overlap\\\\\\', \\\\\\'nogradcorrect\\\\\\': True, \\\\\\'ekincorrect\\\\\\': \\\\\\'parallel_vel\\\\\\', \\\\\\'reflect_frustrated\\\\\\': \\\\\\'none\\\\\\', \\\\\\'decoherence_scheme\\\\\\': \\\\\\'edc\\\\\\', \\\\\\'decoherence_param\\\\\\': 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(12/25)\\\\n * time (time) float64 4kB 0.0 0.5 1.0 ... 219.5 220.0 220.5\\\\n * state (state) int64 24B 1 2 3\\\\n * atom (atom) int64 112B 0 1 2 3 4 5 6 7 8 9 10 11 12 13\\\\n * direction (direction) , _is_multi_trajectory=False), _children={}, _attrs={\\\\\\'input_format\\\\\\': \\\\\\'sharc\\\\\\', \\\\\\'t_max\\\\\\': 1000.0, \\\\\\'delta_t\\\\\\': 0.5, \\\\\\'max_ts\\\\\\': 444, \\\\\\'completed\\\\\\': False, \\\\\\'input_type\\\\\\': \\\\\\'dynamic\\\\\\', \\\\\\'input_format_version\\\\\\': \\\\\\'3.0\\\\\\', \\\\\\'num_singlets\\\\\\': 3, \\\\\\'num_doublets\\\\\\': 0, \\\\\\'num_triplets\\\\\\': 0, \\\\\\'has_forces\\\\\\': True, \\\\\\'misc_input_settings\\\\\\': {\\\\\\'input\\\\\\': {\\\\\\'printlevel\\\\\\': \\\\\\'2\\\\\\', \\\\\\'geomfile\\\\\\': \\\\\\'\"geom\"\\\\\\', \\\\\\'veloc\\\\\\': \\\\\\'external\\\\\\', \\\\\\'velocfile\\\\\\': \\\\\\'\"veloc\"\\\\\\', \\\\\\'nstates\\\\\\': [3], \\\\\\'actstates\\\\\\': \\\\\\'3\\\\\\', \\\\\\'state\\\\\\': \\\\\\'2 mch\\\\\\', \\\\\\'coeff\\\\\\': \\\\\\'auto\\\\\\', \\\\\\'rngseed\\\\\\': \\\\\\'2427\\\\\\', \\\\\\'ezero\\\\\\': \\\\\\'-248.2781283000\\\\\\', \\\\\\'tmax\\\\\\': \\\\\\'1000.000000\\\\\\', \\\\\\'stepsize\\\\\\': \\\\\\'0.500000\\\\\\', \\\\\\'nsubsteps\\\\\\': \\\\\\'25\\\\\\', \\\\\\'integrator\\\\\\': \\\\\\'fvv\\\\\\', \\\\\\'method\\\\\\': \\\\\\'tsh\\\\\\', \\\\\\'surf\\\\\\': \\\\\\'diagonal\\\\\\', \\\\\\'coupling\\\\\\': \\\\\\'overlap\\\\\\', \\\\\\'nogradcorrect\\\\\\': True, \\\\\\'ekincorrect\\\\\\': \\\\\\'parallel_vel\\\\\\', \\\\\\'reflect_frustrated\\\\\\': \\\\\\'none\\\\\\', \\\\\\'decoherence_scheme\\\\\\': \\\\\\'edc\\\\\\', \\\\\\'decoherence_param\\\\\\': \\\\\\'0.1\\\\\\', \\\\\\'hopping_procedure\\\\\\': \\\\\\'sharc\\\\\\', \\\\\\'grad_all\\\\\\': True, \\\\\\'eselect\\\\\\': \\\\\\'0.001000\\\\\\', \\\\\\'select_directly\\\\\\': True, \\\\\\'nospinorbit\\\\\\': True, \\\\\\'write_grad\\\\\\': True, \\\\\\'write_nacdr\\\\\\': True, \\\\\\'write_overlap\\\\\\': True, \\\\\\'output_format\\\\\\': \\\\\\'ascii\\\\\\', \\\\\\'output_dat_steps\\\\\\': \\\\\\'1\\\\\\'}, \\\\\\'output.dat\\\\\\': {\\\\\\'SHARC_version\\\\\\': \\\\\\'3.0\\\\\\', \\\\\\'method\\\\\\': \\\\\\'0\\\\\\', \\\\\\'integrator\\\\\\': \\\\\\'2\\\\\\', \\\\\\'maxmult\\\\\\': \\\\\\'1\\\\\\', \\\\\\'nstates_m\\\\\\': \\\\\\'3\\\\\\', \\\\\\'natom\\\\\\': \\\\\\'14\\\\\\', \\\\\\'dtstep\\\\\\': \\\\\\'20.670686894780374\\\\\\', \\\\\\'nsteps\\\\\\': \\\\\\'2000\\\\\\', \\\\\\'nsubsteps\\\\\\': \\\\\\'25\\\\\\', \\\\\\'ezero\\\\\\': \\\\\\'-248.27812829999999\\\\\\', \\\\\\'write_overlap\\\\\\': \\\\\\'1\\\\\\', \\\\\\'write_grad\\\\\\': \\\\\\'1\\\\\\', \\\\\\'write_nacdr\\\\\\': \\\\\\'0\\\\\\', \\\\\\'write_property1d\\\\\\': \\\\\\'0\\\\\\', \\\\\\'write_property2d\\\\\\': \\\\\\'0\\\\\\', \\\\\\'n_property1d\\\\\\': \\\\\\'1\\\\\\', \\\\\\'n_property2d\\\\\\': \\\\\\'1\\\\\\', \\\\\\'laser\\\\\\': \\\\\\'0\\\\\\'}, \\\\\\'output.lis\\\\\\': {\\\\\\'nsteps\\\\\\': 444, \\\\\\'delta_t\\\\\\': 0.5, \\\\\\'t_max\\\\\\': 221.5}, \\\\\\'output.log\\\\\\': {\\\\\\'printlevel\\\\\\': \\\\\\'2\\\\\\', \\\\\\'geomfile\\\\\\': \\\\\\'\"geom\"\\\\\\', \\\\\\'veloc\\\\\\': \\\\\\'external\\\\\\', \\\\\\'velocfile\\\\\\': \\\\\\'\"veloc\"\\\\\\', \\\\\\'nstates\\\\\\': \\\\\\'3\\\\\\', \\\\\\'actstates\\\\\\': \\\\\\'3\\\\\\', \\\\\\'state\\\\\\': \\\\\\'2 mch\\\\\\', \\\\\\'coeff\\\\\\': \\\\\\'auto\\\\\\', \\\\\\'rngseed\\\\\\': \\\\\\'2427\\\\\\', \\\\\\'ezero\\\\\\': \\\\\\'-248.2781283000\\\\\\', \\\\\\'tmax\\\\\\': \\\\\\'1000.000000\\\\\\', \\\\\\'stepsize\\\\\\': \\\\\\'0.500000\\\\\\', \\\\\\'nsubsteps\\\\\\': \\\\\\'25\\\\\\', \\\\\\'integrator\\\\\\': \\\\\\'fvv\\\\\\', \\\\\\'method\\\\\\': \\\\\\'tsh\\\\\\', \\\\\\'surf\\\\\\': \\\\\\'diagonal\\\\\\', \\\\\\'coupling\\\\\\': \\\\\\'overlap\\\\\\', \\\\\\'nogradcorrect\\\\\\': True, \\\\\\'ekincorrect\\\\\\': \\\\\\'parallel_vel\\\\\\', \\\\\\'reflect_frustrated\\\\\\': 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3,\\\\n statecomb: 3, full_statecomb: 6, energy_criterion: 2,\\\\n length_criterion: 2)\\\\nCoordinates: (12/25)\\\\n * time (time) float64 624B 0.0 0.5 1.0 1.5 ... 37.5 38.0 38.5\\\\n * state (state) int64 24B 1 2 3\\\\n * atom (atom) int64 112B 0 1 2 3 4 5 6 7 8 9 10 11 12 13\\\\n * direction (direction) , _is_multi_trajectory=False), _children={}, _attrs={\\\\\\'input_format\\\\\\': \\\\\\'sharc\\\\\\', \\\\\\'t_max\\\\\\': 1000.0, \\\\\\'delta_t\\\\\\': 0.5, \\\\\\'max_ts\\\\\\': 356, \\\\\\'completed\\\\\\': False, \\\\\\'input_type\\\\\\': \\\\\\'dynamic\\\\\\', \\\\\\'input_format_version\\\\\\': \\\\\\'3.0\\\\\\', \\\\\\'num_singlets\\\\\\': 3, \\\\\\'num_doublets\\\\\\': 0, \\\\\\'num_triplets\\\\\\': 0, \\\\\\'has_forces\\\\\\': True, \\\\\\'misc_input_settings\\\\\\': {\\\\\\'input\\\\\\': {\\\\\\'printlevel\\\\\\': \\\\\\'2\\\\\\', \\\\\\'geomfile\\\\\\': \\\\\\'\"geom\"\\\\\\', \\\\\\'veloc\\\\\\': \\\\\\'external\\\\\\', \\\\\\'velocfile\\\\\\': \\\\\\'\"veloc\"\\\\\\', \\\\\\'nstates\\\\\\': [3], \\\\\\'actstates\\\\\\': \\\\\\'3\\\\\\', \\\\\\'state\\\\\\': \\\\\\'2 mch\\\\\\', \\\\\\'coeff\\\\\\': \\\\\\'auto\\\\\\', \\\\\\'rngseed\\\\\\': \\\\\\'-29045\\\\\\', \\\\\\'ezero\\\\\\': \\\\\\'-248.2781283000\\\\\\', \\\\\\'tmax\\\\\\': \\\\\\'1000.000000\\\\\\', \\\\\\'stepsize\\\\\\': \\\\\\'0.500000\\\\\\', \\\\\\'nsubsteps\\\\\\': \\\\\\'25\\\\\\', \\\\\\'integrator\\\\\\': \\\\\\'fvv\\\\\\', \\\\\\'method\\\\\\': \\\\\\'tsh\\\\\\', \\\\\\'surf\\\\\\': \\\\\\'diagonal\\\\\\', \\\\\\'coupling\\\\\\': \\\\\\'overlap\\\\\\', \\\\\\'nogradcorrect\\\\\\': True, \\\\\\'ekincorrect\\\\\\': \\\\\\'parallel_vel\\\\\\', \\\\\\'reflect_frustrated\\\\\\': \\\\\\'none\\\\\\', \\\\\\'decoherence_scheme\\\\\\': \\\\\\'edc\\\\\\', \\\\\\'decoherence_param\\\\\\': \\\\\\'0.1\\\\\\', \\\\\\'hopping_procedure\\\\\\': \\\\\\'sharc\\\\\\', \\\\\\'grad_all\\\\\\': True, \\\\\\'eselect\\\\\\': \\\\\\'0.001000\\\\\\', \\\\\\'select_directly\\\\\\': True, \\\\\\'nospinorbit\\\\\\': True, \\\\\\'write_grad\\\\\\': True, \\\\\\'write_nacdr\\\\\\': True, \\\\\\'write_overlap\\\\\\': True, \\\\\\'output_format\\\\\\': \\\\\\'ascii\\\\\\', \\\\\\'output_dat_steps\\\\\\': \\\\\\'1\\\\\\'}, \\\\\\'output.dat\\\\\\': {\\\\\\'SHARC_version\\\\\\': \\\\\\'3.0\\\\\\', \\\\\\'method\\\\\\': \\\\\\'0\\\\\\', \\\\\\'integrator\\\\\\': \\\\\\'2\\\\\\', \\\\\\'maxmult\\\\\\': \\\\\\'1\\\\\\', \\\\\\'nstates_m\\\\\\': \\\\\\'3\\\\\\', \\\\\\'natom\\\\\\': \\\\\\'14\\\\\\', \\\\\\'dtstep\\\\\\': \\\\\\'20.670686894780374\\\\\\', \\\\\\'nsteps\\\\\\': \\\\\\'2000\\\\\\', \\\\\\'nsubsteps\\\\\\': \\\\\\'25\\\\\\', \\\\\\'ezero\\\\\\': \\\\\\'-248.27812829999999\\\\\\', \\\\\\'write_overlap\\\\\\': \\\\\\'1\\\\\\', \\\\\\'write_grad\\\\\\': \\\\\\'1\\\\\\', \\\\\\'write_nacdr\\\\\\': \\\\\\'0\\\\\\', \\\\\\'write_property1d\\\\\\': \\\\\\'0\\\\\\', \\\\\\'write_property2d\\\\\\': \\\\\\'0\\\\\\', \\\\\\'n_property1d\\\\\\': \\\\\\'1\\\\\\', \\\\\\'n_property2d\\\\\\': \\\\\\'1\\\\\\', \\\\\\'laser\\\\\\': \\\\\\'0\\\\\\'}, \\\\\\'output.lis\\\\\\': {\\\\\\'nsteps\\\\\\': 356, \\\\\\'delta_t\\\\\\': 0.5, \\\\\\'t_max\\\\\\': 177.5}, \\\\\\'output.log\\\\\\': {\\\\\\'printlevel\\\\\\': \\\\\\'2\\\\\\', \\\\\\'geomfile\\\\\\': \\\\\\'\"geom\"\\\\\\', \\\\\\'veloc\\\\\\': \\\\\\'external\\\\\\', \\\\\\'velocfile\\\\\\': \\\\\\'\"veloc\"\\\\\\', \\\\\\'nstates\\\\\\': \\\\\\'3\\\\\\', \\\\\\'actstates\\\\\\': \\\\\\'3\\\\\\', \\\\\\'state\\\\\\': \\\\\\'2 mch\\\\\\', \\\\\\'coeff\\\\\\': \\\\\\'auto\\\\\\', \\\\\\'rngseed\\\\\\': \\\\\\'-29045\\\\\\', \\\\\\'ezero\\\\\\': \\\\\\'-248.2781283000\\\\\\', \\\\\\'tmax\\\\\\': \\\\\\'1000.000000\\\\\\', \\\\\\'stepsize\\\\\\': \\\\\\'0.500000\\\\\\', \\\\\\'nsubsteps\\\\\\': \\\\\\'25\\\\\\', \\\\\\'integrator\\\\\\': \\\\\\'fvv\\\\\\', \\\\\\'method\\\\\\': \\\\\\'tsh\\\\\\', \\\\\\'surf\\\\\\': \\\\\\'diagonal\\\\\\', \\\\\\'coupling\\\\\\': \\\\\\'overlap\\\\\\', 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ABCMeta(_name=\\\\\\'8\\\\\\', _dtype=, _data=Trajectory(_raw_dataset= Size: 116kB\\\\nDimensions: (time: 128, state: 3, atom: 14, direction: 3,\\\\n statecomb: 3, full_statecomb: 6, energy_criterion: 2,\\\\n length_criterion: 2)\\\\nCoordinates: (12/25)\\\\n * time (time) float64 1kB 0.0 0.5 1.0 1.5 ... 62.5 63.0 63.5\\\\n * state (state) int64 24B 1 2 3\\\\n * atom (atom) int64 112B 0 1 2 3 4 5 6 7 8 9 10 11 12 13\\\\n * direction (direction) , _is_multi_trajectory=False), _children={}, _attrs={\\\\\\'input_format\\\\\\': \\\\\\'sharc\\\\\\', \\\\\\'t_max\\\\\\': 1000.0, \\\\\\'delta_t\\\\\\': 0.5, \\\\\\'max_ts\\\\\\': 447, \\\\\\'completed\\\\\\': False, \\\\\\'input_type\\\\\\': \\\\\\'dynamic\\\\\\', \\\\\\'input_format_version\\\\\\': \\\\\\'3.0\\\\\\', \\\\\\'num_singlets\\\\\\': 3, \\\\\\'num_doublets\\\\\\': 0, \\\\\\'num_triplets\\\\\\': 0, \\\\\\'has_forces\\\\\\': True, \\\\\\'misc_input_settings\\\\\\': {\\\\\\'input\\\\\\': {\\\\\\'printlevel\\\\\\': \\\\\\'2\\\\\\', 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\\\\\\'nogradcorrect\\\\\\': True, \\\\\\'ekincorrect\\\\\\': \\\\\\'parallel_vel\\\\\\', \\\\\\'reflect_frustrated\\\\\\': \\\\\\'none\\\\\\', \\\\\\'decoherence_scheme\\\\\\': \\\\\\'edc\\\\\\', \\\\\\'decoherence_param\\\\\\': \\\\\\'0.1\\\\\\', \\\\\\'hopping_procedure\\\\\\': \\\\\\'sharc\\\\\\', \\\\\\'grad_all\\\\\\': True, \\\\\\'eselect\\\\\\': \\\\\\'0.001000\\\\\\', \\\\\\'select_directly\\\\\\': True, \\\\\\'nospinorbit\\\\\\': True, \\\\\\'write_grad\\\\\\': True, \\\\\\'write_nacdr\\\\\\': True, \\\\\\'write_overlap\\\\\\': True, \\\\\\'output_format\\\\\\': \\\\\\'ascii\\\\\\', \\\\\\'output_dat_steps\\\\\\': \\\\\\'1\\\\\\'}, \\\\\\'output.dat\\\\\\': {\\\\\\'SHARC_version\\\\\\': \\\\\\'3.0\\\\\\', \\\\\\'method\\\\\\': \\\\\\'0\\\\\\', \\\\\\'integrator\\\\\\': \\\\\\'2\\\\\\', \\\\\\'maxmult\\\\\\': \\\\\\'1\\\\\\', \\\\\\'nstates_m\\\\\\': \\\\\\'3\\\\\\', \\\\\\'natom\\\\\\': \\\\\\'14\\\\\\', \\\\\\'dtstep\\\\\\': \\\\\\'20.670686894780374\\\\\\', 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\\\\\\'laser\\\\\\': \\\\\\'0\\\\\\'}, \\\\\\'output.lis\\\\\\': {\\\\\\'nsteps\\\\\\': 439, \\\\\\'delta_t\\\\\\': 0.5, \\\\\\'t_max\\\\\\': 219.0}, \\\\\\'output.log\\\\\\': {\\\\\\'printlevel\\\\\\': \\\\\\'2\\\\\\', \\\\\\'geomfile\\\\\\': \\\\\\'\"geom\"\\\\\\', \\\\\\'veloc\\\\\\': \\\\\\'external\\\\\\', \\\\\\'velocfile\\\\\\': \\\\\\'\"veloc\"\\\\\\', \\\\\\'nstates\\\\\\': \\\\\\'3\\\\\\', \\\\\\'actstates\\\\\\': \\\\\\'3\\\\\\', \\\\\\'state\\\\\\': \\\\\\'2 mch\\\\\\', \\\\\\'coeff\\\\\\': \\\\\\'auto\\\\\\', \\\\\\'rngseed\\\\\\': \\\\\\'15722\\\\\\', \\\\\\'ezero\\\\\\': \\\\\\'-248.2781283000\\\\\\', \\\\\\'tmax\\\\\\': \\\\\\'1000.000000\\\\\\', \\\\\\'stepsize\\\\\\': \\\\\\'0.500000\\\\\\', \\\\\\'nsubsteps\\\\\\': \\\\\\'25\\\\\\', \\\\\\'integrator\\\\\\': \\\\\\'fvv\\\\\\', \\\\\\'method\\\\\\': \\\\\\'tsh\\\\\\', \\\\\\'surf\\\\\\': \\\\\\'diagonal\\\\\\', \\\\\\'coupling\\\\\\': \\\\\\'overlap\\\\\\', \\\\\\'nogradcorrect\\\\\\': True, \\\\\\'ekincorrect\\\\\\': \\\\\\'parallel_vel\\\\\\', \\\\\\'reflect_frustrated\\\\\\': \\\\\\'none\\\\\\', \\\\\\'decoherence_scheme\\\\\\': \\\\\\'edc\\\\\\', \\\\\\'decoherence_param\\\\\\': \\\\\\'0.1\\\\\\', \\\\\\'hopping_procedure\\\\\\': \\\\\\'sharc\\\\\\', \\\\\\'grad_all\\\\\\': True, \\\\\\'eselect\\\\\\': \\\\\\'0.001000\\\\\\', \\\\\\'select_directly\\\\\\': True, \\\\\\'nospinorbit\\\\\\': True, \\\\\\'write_grad\\\\\\': True, \\\\\\'write_nacdr\\\\\\': True, \\\\\\'write_overlap\\\\\\': True, \\\\\\'output_format\\\\\\': \\\\\\'ascii\\\\\\', \\\\\\'output_dat_steps\\\\\\': \\\\\\'1\\\\\\', \\\\\\'version\\\\\\': \\\\\\'3.0\\\\\\'}}, \\\\\\'trajectory_input_path\\\\\\': \\\\\\'retinal_tutorial/I02/TRAJ_00020\\\\\\', \\\\\\'trajid\\\\\\': 20, \\\\\\'DataTree_Level\\\\\\': \\\\\\'TrajectoryData\\\\\\', \\\\\\'__shnitsel_setup_for_cleanup\\\\\\': True}, _parent=..., _level_name=\\\\\\'DataLeaf\\\\\\')}, _attrs={\\\\\\'DataTree_Level\\\\\\': \\\\\\'CompoundGroup\\\\\\', \\\\\\'compound_info\\\\\\': {\\\\\\'compound_name\\\\\\': \\\\\\'I02\\\\\\'}}, _parent= [{\\\\\\'level\\\\\\': \\\\\\'ShnitselDBRoot\\\\\\', \\\\\\'children\\\\\\': \"1: {\\\\\\'I02\\\\\\': \\\\\\'...\\\\\\'}\"}], _level_name=\\\\\\'CompoundGroup\\\\\\', _group_info=None)\\'}'}]" ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from shnitsel.clean import sanity_check\n", "# 'Truncate': Cut off at first violation \n", "truncated_dt = sanity_check(dt, 'truncate')\n", "# 'Transect': Cut off if configured time is reached, else omit. Note that the time value is in units of the time dimension of the dataset.\n", "# transected_dt = sanity_check(dt, 20.0)\n", "truncated_dt" ] }, { "cell_type": "markdown", "id": "73dd5d77-5a08-49e4-bd7b-4f051f8f1d02", "metadata": {}, "source": [ "## 1.2) Optional: Converting the data\n", "\n", "For processing or analysis, you may prefer to work with a single `xarray.Dataset`.\n", "Shnitsel tree formats support conversion to either a `stacked` (i.e. transformed into a series of frames) or `layered` format (i.e. a new coordinate `trajectory` to index the various trajectories along)\n", "via two accessor properties:" ] }, { "cell_type": "code", "execution_count": 4, "id": "530f55bf-813e-464f-947f-4d7d5558af89", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/home/tpadmin/git/shnitsel-tools-official/shnitsel/data/traj_combiner_methods.py:491: FutureWarning: In a future version of xarray the default value for compat will change from compat='equals' to compat='override'. This change will result in the following ValueError: Cannot specify both coords='different' and compat='override'. The recommendation is to set compat explicitly for this case.\n", " frames = xr.concat(\n", "/home/tpadmin/git/shnitsel-tools-official/shnitsel/data/traj_combiner_methods.py:735: FutureWarning: In a future version of xarray the default value for coords will change from coords='different' to coords='minimal'. This is likely to lead to different results when multiple datasets have matching variables with overlapping values. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set coords explicitly.\n", " layers = xr.concat(\n" ] } ], "source": [ "# Get a `stacked` representation of the data in the tree\n", "ds_stacked = truncated_dt.as_stacked\n", "# Get a `layered` representation of the data in the tree\n", "ds_layered = truncated_dt.as_layered" ] }, { "cell_type": "markdown", "id": "5069a289", "metadata": {}, "source": [ "## 2) Selection of relevant states and geometrical features\n", "\n", "### 2.1) Geometrical features\n", "\n", "We may not wish to perform the analysis of principal components or other statistics on the full structure. \n", "For example, we may wish to restrict our analysis to a subset. \n", "`Shnitsel-tools` provides a rich module for the selection of these geometric features in `shnitsel.filtering`. \n", "The `StructureSelection` class helps with the control of relevant structures. \n", "\n", "First, you need to initialize the Structure selection:" ] }, { "cell_type": "code", "execution_count": 5, "id": "cac2fbab", "metadata": {}, "outputs": [ { "data": { "image/svg+xml": [ "\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", "" ], "text/plain": [ "" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from shnitsel.filtering import StructureSelection\n", "\n", "# Create a selection of all features \n", "structure_all = StructureSelection.init_from_dataset(ds_stacked, ['atoms', 'bonds', 'angles', 'dihedrals', 'pyramids'])\n", "\n", "# Create a selection of only bond lengths and dihedrals\n", "structure_bd = StructureSelection.init_from_dataset(ds_stacked, ['bonds', 'dihedrals'])\n", "structure_bd.draw()" ] }, { "cell_type": "markdown", "id": "e1a3b813", "metadata": {}, "source": [ "Generally, the initial selection includes all instances of the features in the array following the dataset. \n", "In the first case all features supported by the selection class.\n", "In the second case only bond pairs and dihedrals. \n", "\n", "If you ever change your mind, you can add a specific feature back with the `.select_all()` method or (without a parameter) have all features activated on the selection:" ] }, { "cell_type": "code", "execution_count": 6, "id": "ac49f4d0", "metadata": {}, "outputs": [ { "data": { "image/svg+xml": [ "\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", "" ], "text/plain": [ "" ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Add `atoms`, i.e. positions back into the selection\n", "structure_abd = structure_bd.select_all('atoms')\n", "# Add all features back\n", "structure_all2 = structure_bd.select_all()\n", "structure_abd.draw()" ] }, { "cell_type": "markdown", "id": "0f1be5d7", "metadata": {}, "source": [ "You can select specific features either with tuples representing them or using `SMARTS` strings. \n", "Additionally, you have the option to select all BATS (positions, bonds, angles, torsions and pyramidalization centers) at the same time with `.select()` (or `.select_bats()`) or modify the selection of individual features using `.select_atoms()`, `.select_bonds()`, `.select_angles()`, `.select_dihedrals()`, and `.select_pyramids()` respectively." ] }, { "cell_type": "code", "execution_count": 7, "id": "10658342", "metadata": {}, "outputs": [ { "data": { "image/svg+xml": [ "\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", "" ], "text/plain": [ "" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Select all bonds from a C or N atom to an H atom\n", "structure_all.select_bonds('[#6,#7]~[#1]').draw()" ] }, { "cell_type": "code", "execution_count": 8, "id": "6d37756e", "metadata": {}, "outputs": [ { "data": { "image/svg+xml": [ "\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", "" ], "text/plain": [ "" ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Pick one specific dihedral:\n", "structure_all.select_dihedrals((6,5,7,8)).draw('dihedrals')" ] }, { "cell_type": "markdown", "id": "21690f86", "metadata": {}, "source": [ "You can combine multiple selections via simple set operations, i.e. \n", "- `+` or `|` to add two selections together \n", "- `-` to remove the second selection from the first\n", "- `&` to obtain the intersection between two selections\n", "- `~` to obtain an inverted selection.\n", "\n", "For example, if we want to select the two central dihedrals in retinal to calculate HOOP (hydrogen out of plane):" ] }, { "cell_type": "code", "execution_count": 9, "id": "37ba5bba", "metadata": {}, "outputs": [ { "data": { "image/svg+xml": [ "\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", "" ], "text/plain": [ "" ] }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Only keep the selection of dihedrals \n", "dih_6578 = structure_all.select_dihedrals((6,5,7,8)).only('dihedrals')\n", "dih_CCCC = structure_all.select_dihedrals(\"[#6][#6]=[#6][#6]\").only('dihedrals')\n", "\n", "combined = dih_6578 | dih_CCCC\n", "combined.draw('dihedrals')" ] }, { "cell_type": "markdown", "id": "c66118e7", "metadata": {}, "source": [ "We will now also present a quite visually pleasing way of combining our selection capabilities with the tools to calculate certain derived observables like distances\n", "and use that to verify that our filtering was successful. \n", "\n", "E.g, our `sanity_check()` by default enforces a C-H bondlength of at most 2 angstroms. \n", "Let us get an overview of C-H bond lengths in the system:" ] }, { "cell_type": "code", "execution_count": 10, "id": "6de8c692", "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "" ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import rdkit\n", "from shnitsel.geo.geocalc import get_distances\n", "from rdkit.Chem import Mol\n", "from shnitsel.bridges import default_mol\n", "from shnitsel.units.conversion import convert_length\n", "\n", "# Get all lengths of C-H bonds by creating an on-the-go structural selection using SMARTS strings directly\n", "c_h_distances = get_distances(ds_stacked, structure_selection=\"[#6][#1]\")\n", "\n", "# Get a mol object for our dataset:\n", "draw_mol = default_mol(ds_stacked)\n", "\n", "# Calculate proportions per bond and annotate the molecule.\n", "for bond_descriptor in c_h_distances.feature_indices.values:\n", " bond_index = structure_all.bond_descriptor_to_mol_index(\n", " bond_descriptor\n", " )\n", " dist = convert_length(c_h_distances.sel(feature_indices=bond_descriptor), \"angstrom\")\n", " \n", " # Assign the label to the bond\n", " draw_mol.GetBondWithIdx(bond_index).SetProp(\n", " 'bondNote', f\"={dist.min().item():.2f}A\"\n", " )\n", "draw_mol" ] }, { "cell_type": "markdown", "id": "a5850393", "metadata": {}, "source": [ "So on average our C-H bonds are around `0.9A` long. \n", "But let us check that all of them are below `2A`:" ] }, { "cell_type": "code", "execution_count": 11, "id": "039f1d59", "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "" ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import rdkit\n", "from shnitsel.geo.geocalc import get_distances\n", "from rdkit.Chem import Mol\n", "from shnitsel.bridges import default_mol\n", "from shnitsel.units.conversion import convert_length\n", "\n", "# Get all lengths of C-H bonds by creating an on-the-go structural selection using SMARTS strings directly\n", "c_h_distances = get_distances(ds_stacked, structure_selection=\"[#6][#1]\")\n", "\n", "# Get a mol object for our dataset:\n", "draw_mol = default_mol(ds_stacked)\n", "\n", "# Calculate proportions per bond and annotate the molecule.\n", "for bond_descriptor in c_h_distances.feature_indices.values:\n", " bond_index = structure_all.bond_descriptor_to_mol_index(\n", " bond_descriptor\n", " )\n", " dist = convert_length(c_h_distances.sel(feature_indices=bond_descriptor), \"angstrom\")\n", "\n", " # Get ratio of bonds below 2 A\n", " proportion = ((dist < 2).sum() / dist.sizes['frame']).item()\n", "\n", " # Assign the label to the bond\n", " draw_mol.GetBondWithIdx(bond_index).SetProp(\n", " 'bondNote', f\"{proportion * 100:.0f}%\"\n", " )\n", "draw_mol" ] }, { "cell_type": "markdown", "id": "f787ea28", "metadata": {}, "source": [ "And indeed, all of our bonds are within the constraints, proving that our filtration has worked. " ] }, { "cell_type": "markdown", "id": "d2f35131", "metadata": {}, "source": [ "## 3) Structural analysis\n", "\n", "### 3.1) General Principal Component Analysis (PCA)\n", "\n", "Shnitsel tools has extensive support for PCA analysis combined with the strong selection/filtration features presented above.\n", "Let us demonstrate this on the example of retinal and try and identify the most significant contributing features of the retinal energy landscape.\n", "\n", "First, we will perform a PCA to identify key features of the Retinal and investigate clustering behavior.\n", "The following box demonstrates multiple options for doing so, using the `biplot_kde()` function that \n", "plots the PCA results, highlights clusters based on a KDE density estimation and plots the most relevant features of the PCAs\n", "as visualizations on the molecular structure:" ] }, { "cell_type": "code", "execution_count": 12, "id": "bab63a06", "metadata": {}, "outputs": [ { "data": { "image/png": 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "from shnitsel.analyze.pca import PCA\n", "from shnitsel.vis.plot.kde import biplot_kde\n", "\n", "# We can create the plot with a feature selection and make it calculate the PCA directly:\n", "# biplot_kde(ds_stacked, 6,5,7,8, structure_selection=structure_all.only(['bonds', 'dihedrals', 'angles']), scatter_color_property='geo')\n", "\n", "# Or we can calculate the PCA ourselves and provide it to the biplot function:\n", "pca_res = PCA(ds_stacked, structure_selection=structure_all.only(['bonds', 'dihedrals', 'angles']))\n", "\n", "# We can plot the PCA analysis with coloring using the `time` coordinate to see how trajectories evolve over time in PCA space:\n", "# biplot_kde(ds_stacked, pca_data=pca_res, scatter_color_property='time')\n", "\n", "# We can highlight the dihedral (6,5,7,8) as the coloring property to differentiate the different isomers\n", "# biplot_kde(ds_stacked, 6,5,7,8, pca_data=pca_res, scatter_color_property='geo')\n", "\n", "# Or we can use the distance between H atoms 4 and 10 as a coloring parameter to indicate isomerization \n", "# but then we may have to provide our own range for the clustering in `geo_kde_ranges` because default\n", "# clustering ranges are for bond-lengths and 4-10 is not a true bond.\n", "plot = biplot_kde(ds_stacked, 4, 10, pca_data=pca_res, scatter_color_property='geo', geo_kde_ranges=[(0,6), (8,15)])" ] }, { "cell_type": "markdown", "id": "ba8533ae", "metadata": {}, "source": [ "We can see, that the molecule isomerizes based on the distance between the H-atoms with indices 4 and 10. \n", "However, the PCA result provides us with more in-depth results. \n", "From the Biplot figures a-d we can already see that the central dihedrals around C-C bond (5,7) are most relevant for the isomerization classification.\n", "\n", "If we want to gain deeper insights into the most relevant features, we can retrieve a description of the PCA result in textual form:" ] }, { "cell_type": "code", "execution_count": 13, "id": "7cbe4d62", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Maximum contributing features overall:\n", " dih(0,3,5,7) (weight: 0.4002896845340729) (Idxs: (0, 3, 5, 7)) \n", " dih(3,5,7,9) (weight: 0.45366981625556946) (Idxs: (3, 5, 7, 9)) \n", " dih(6,5,7,9) (weight: 0.4903942048549652) (Idxs: (6, 5, 7, 9)) \n", " dih(3,5,7,8) (weight: 0.501832127571106) (Idxs: (3, 5, 7, 8)) \n", " dih(6,5,7,8) (weight: 0.5060983896255493) (Idxs: (6, 5, 7, 8)) \n", "\n", "\n", "Maximum contributing features to component 0 :\n", " dih(8,7,9,10) (weight: -0.16361398994922638) (Idxs: (8, 7, 9, 10)) \n", " dih(3,5,7,9) (weight: -0.41540634632110596) (Idxs: (3, 5, 7, 9)) \n", " dih(3,5,7,8) (weight: 0.44011834263801575) (Idxs: (3, 5, 7, 8)) \n", " dih(6,5,7,8) (weight: -0.44119080901145935) (Idxs: (6, 5, 7, 8)) \n", " dih(6,5,7,9) (weight: 0.4422222375869751) (Idxs: (6, 5, 7, 9)) \n", "\n", "Maximum contributing features to component 1 :\n", " dih(5,7,9,10) (weight: -0.2583121359348297) (Idxs: (5, 7, 9, 10)) \n", " dih(4,3,5,6) (weight: 0.30467310547828674) (Idxs: (4, 3, 5, 6)) \n", " dih(0,3,5,6) (weight: -0.31193774938583374) (Idxs: (0, 3, 5, 6)) \n", " dih(4,3,5,7) (weight: -0.3276280462741852) (Idxs: (4, 3, 5, 7)) \n", " dih(0,3,5,7) (weight: 0.3666488528251648) (Idxs: (0, 3, 5, 7)) \n", "\n", "\n" ] } ], "source": [ "# The parameters for `.explain_loadings(n1, n2)` are the number of most-weighted features per PCA component (n1) and overall across all components (n2)\n", "print(pca_res.explain_loadings(5,5))" ] }, { "cell_type": "markdown", "id": "a8893686", "metadata": {}, "source": [ "This confirms our suspicion that, indeed, the first principal component has its highest contributions from all dihedrals surrounding the bond `5,7`.\n", "Similarly, the second component has its most significant contributions from dihedrals around the bond `3,5`. \n", "This already tells us, that the isomerization around `5,7` is key to the structural and energetic landscape of the molecule. \n", "Similarly, the torsions around `3,5` provide degrees of freedom without a full isomerization of the molecule. " ] }, { "cell_type": "markdown", "id": "3dd104c7", "metadata": {}, "source": [ "## 3) Manual insights into structural features\n", "\n", "From literature, one may realize, that the dihedrals in the center of the molecule around `(5,7)` are not only relevant as of themselves, but instead that their linear combinations, which describes the feature of `Hydrogen out of plane` (`HOOP`):" ] }, { "cell_type": "code", "execution_count": 14, "id": "e603d4f5", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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" ], "text/plain": [ " Size: 548kB\n", "array([[ 1.7274824 , 1.7531409 , 1.8007075 , ..., 2.0762656 ,\n", " 2.0190077 , 1.9528676 ],\n", " [ 2.7055476 , 2.6930227 , 2.6798398 , ..., 2.8368409 ,\n", " 2.8123899 , 2.7849002 ],\n", " [ 2.7028968 , 2.7058063 , 2.7092056 , ..., 2.910789 ,\n", " 2.9275563 , 2.942532 ],\n", " ...,\n", " [ 0.9976716 , 0.9971196 , 0.99656 , ..., 0.9465555 ,\n", " 0.9481291 , 0.94996953],\n", " [ 0.10997677, 0.10950518, 0.10680151, ..., 0.12595081,\n", " 0.13470912, 0.14393115],\n", " [ -1.1290894 , -2.127411 , -2.9948273 , ..., -46.937065 ,\n", " -49.536137 , -52.037926 ]], shape=(28, 4892), dtype=float32)\n", "Coordinates:\n", " * descriptor (descriptor) " ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "res = biplot_kde(ds_stacked, 6,5,7,8, pca_data=pca_bla_hoop, scatter_color_property='geo')" ] }, { "cell_type": "markdown", "id": "6641ddd9", "metadata": {}, "source": [ "We see how the choice of descriptors as a basis for the PCA impacts the results, but nevertheless, the PCA still arrives at the same collection of most important individual parameters:\n", "- The `PC1` first principal component entirely describes the angular constellation around bond `(5,7)`, but now it incorporates the `BLA` feature, which we previously did not consider, because individual distances did not contribute enough.\n", "- The `PC2` component now (again) despite the very different parametrization focuses on the angular configuration around the bond `(3,5)` next to the central bond around which isomerization happens. It does not incorporate the BLA feature.\n", "\n", "Overall, we can clearly see the two clusters of differently isomerized molecules around their central bond in the KDE plot above. \n", "As would be expected from classical PCA theory, the first principal component clearly parametrizes the transition between the two isomers." ] }, { "cell_type": "markdown", "id": "d8a7d527", "metadata": {}, "source": [ "## 4) Getting a general overview with the Datasheet\n", "\n", "If there is no need for detailed analysis but instead, we want to get a quick overview of data within a dataset, `shnitsel-tools` offer a default visualization class, the `Datasheet` that provides a certain set of insights. \n", "For example, it can provide us with an overview of singlet-state statistics as well as triplet-state statistics, PCA-insights and general trajectory-level metadata. \n", "\n", "As a last point, we will here generate a datasheet for our filtered Retinal dataset:" ] }, { "cell_type": "code", "execution_count": 20, "id": "11c0e02d", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/home/tpadmin/git/shnitsel-tools-official/shnitsel/data/traj_combiner_methods.py:491: FutureWarning: In a future version of xarray the default value for compat will change from compat='equals' to compat='override'. This change will result in the following ValueError: Cannot specify both coords='different' and compat='override'. The recommendation is to set compat explicitly for this case.\n", " frames = xr.concat(\n", "100%|██████████| 3/3 [00:00<00:00, 359.51it/s]\n", "Written: 100%|██████████| 1/1 [00:01<00:00, 2.00s/page]\n" ] }, { "data": { "text/plain": [ "{'/I02/agg/': [
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,\n", "
]}" ] }, "execution_count": 20, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", 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", 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "from shnitsel.vis.datasheet import Datasheet\n", "\n", "# Initialize the datasheet structures\n", "sheet = Datasheet(truncated_dt, \n", " structure_selection=structure_bd,\n", " )\n", "\n", "# To actually plot the datasheet, we can use the `plot()` command with which we can enable certain pages of the datasheet. \n", "# With the `path` parameter, the output can be written to a pdf. \n", "# Note, that this may take some time due to a wide range of analyses being run in parallel (can reach a few minutes depending on the dataset size)\n", "sheet.plot(include_coupling_page=True, include_meta_page=True, path='./datasheet.pdf')\n" ] }, { "cell_type": "markdown", "id": "a386cdfb", "metadata": {}, "source": [ "Of course we also have the option to pick and choose which states and combinations to include in the analysis, if we so choose:" ] }, { "cell_type": "code", "execution_count": 21, "id": "284edeb0", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/home/tpadmin/git/shnitsel-tools-official/shnitsel/data/traj_combiner_methods.py:491: FutureWarning: In a future version of xarray the default value for compat will change from compat='equals' to compat='override'. This change will result in the following ValueError: Cannot specify both coords='different' and compat='override'. The recommendation is to set compat explicitly for this case.\n", " frames = xr.concat(\n", "100%|██████████| 2/2 [00:00<00:00, 265.41it/s]\n", "Written: 100%|██████████| 1/1 [00:02<00:00, 2.36s/page]\n" ] }, { "data": { "text/plain": [ "{'/I02/agg/': [
,\n", "
,\n", "
]}" ] }, "execution_count": 21, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", 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", 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "from shnitsel.vis.datasheet import Datasheet\n", "\n", "# Initialize the datasheet structures\n", "sheet = Datasheet(truncated_dt, \n", " structure_selection=structure_abd, # Use positions, bond lengths and dihedrals where necessary\n", " state_selection=\"S, 1<>2, 2<>3\" # Use all singlet states, transitions between states 1 and 2 as well as between states 2 and 3 but not between 1 and 3.\n", " )\n", "\n", "# We can also leave out certain pages of the datasheet in the plot outpu, like here, for example, we discard the PCA page and the meta information page bu\n", "# due to the presence of an explicit selection, we will get a `selection` page before singlets.\n", "sheet.plot(include_coupling_page=True, include_pca_page=False, include_meta_page=False, path='./datasheet_states_selected.pdf')\n" ] } ], "metadata": { "kernelspec": { "display_name": "shnitsel-tools-official (3.12.3)", "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": "3.12.3" } }, "nbformat": 4, "nbformat_minor": 5 }