molsysmt.basic.concatenate_structures#
- molsysmt.basic.concatenate_structures(molecular_systems, selections='all', structure_indices='all', to_form=None, syntax='MolSysMT', attribute_policy='intersection', skip_digestion=False)[source]#
Concatenate structures from a list of molecular systems into a single molecular system.
This function collects structures from several molecular systems and returns a new molecular system whose structural dimension is the concatenation of the selected structures. All participating systems must be aligned in atom count and ordering over the chosen selections; use selections to provide per-system matching subsets when needed. Optionally, select specific structures from each input with structure_indices.
- Parameters:
molecular_systems (list of molecular systems) – List of input molecular systems in any of the supported forms. Structures will be taken from these systems.
selections (list, tuple, numpy.ndarray, int, str or 'all', default 'all') – Atom selections for the input systems. A list or tuple contains one selection per system and must match molecular_systems in length. A scalar, string, NumPy array, or range is applied to every system. Nest index collections to provide a different collection for each system.
structure_indices (list, tuple, numpy.ndarray, range, int or 'all', default 'all') – 0-based structure indices to include. A list or tuple contains one value or index collection per system and must match molecular_systems in length. A scalar, NumPy array, range, or ‘all’ is applied to every system.
to_form (str or None, default None) – Output form for the resulting molecular system. If None, the form is inherited from the first input system.
syntax (str, default 'MolSysMT') – Selection syntax used when entries of selections are strings. See Selection syntaxes.
attribute_policy ({'intersection', 'strict'}, default 'intersection') – Policy for structural attributes present in only one input block.
'intersection'discards one-sided series with a warning;'strict'rejects the operation.skip_digestion (bool, default False) – Whether to skip MolSysMT’s internal argument digestion mechanism. MolSysMT includes a built-in digestion system that validates and normalizes function arguments. This process checks types, shapes, and values, and automatically adjusts them when possible to meet expected formats. Setting skip_digestion=True disables this process, which may improve performance in workflows where inputs are already validated. Use with caution: only set this to True if you are certain all input arguments are correct and consistent.
- Returns:
New molecular system containing the concatenated structures. The topology is inherited from the first item in molecular_systems. The output form is controlled by to_form (or inherited if None).
- Return type:
molecular system
- Raises:
NotSupportedFormError – If any input system is provided in an unsupported form.
ArgumentError – If input values are invalid or inconsistent.
Notes
Supported molecular-system forms are summarized in Items and Forms.
Selection strings must follow one of the syntaxes described in Selection syntaxes.
All systems must be consistent in number and ordering of atoms over the final selections. Use selections to align subsets when needed.
Structural attributes concatenated include coordinates, velocities, box, time (when available in the inputs).
Input topology is optional after the first system establishes the output topology. Atom-count and ordering compatibility remain the caller’s responsibility.
A native target with one chemical state associates new structures with that state implicitly. Multi-state targets preserve compatible explicit associations and use an unknown association only when the incoming state cannot be determined.
Lists and tuples always express per-system intent. Use a NumPy array or range when one index collection should be applied to every system.
See also
molsysmt.basic.select()Select elements from a molecular system.
molsysmt.basic.append_structures()Append structures from one molecular system to another.
Examples
>>> import molsysmt as msm >>> from molsysmt import systems >>> A = msm.convert(systems['alanine dipeptide']['alanine_dipeptide.h5msm']) >>> B = msm.structure.translate(A, translation='[0.1, 0.1, 0.1] nanometers') >>> C = msm.concatenate_structures([A, B]) >>> msm.get(C, n_structures=True) 2
Tutorial with more examples
See the following tutorial for a practical demonstration of how to use this function, along with additional examples: Concatenate structures.
Added in version 1.0.0.