Update Python_usage.rst
This commit is contained in:
@ -7,8 +7,8 @@ Creating or deleting a LAMMPS object
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With the Python interface the creation of a :cpp:class:`LAMMPS
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<LAMMPS_NS::LAMMPS>` instance is included in the constructors for the
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:py:meth:`lammps <lammps.lammps.__init__()>`, :py:meth:`PyLammps <lammps.PyLammps.__init__()>`,
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and :py:meth:`PyLammps <lammps.IPyLammps.__init__()>` classes.
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:py:class:`lammps <lammps.lammps>`, :py:class:`PyLammps <lammps.PyLammps>`,
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and :py:class:`IPyLammps <lammps.IPyLammps>` classes.
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Internally it will call either :cpp:func:`lammps_open` or :cpp:func:`lammps_open_no_mpi` from the C
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library API to create the class instance.
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@ -38,19 +38,22 @@ Here are simple examples using all three Python interfaces:
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# NOTE: argv[0] is set by the lammps class constructor
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args = ["-log", "none"]
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# create LAMMPS instance
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lmp = lammps(cmdargs=args)
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# get and print numerical version code
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print("LAMMPS Version: ", lmp.version())
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# explicitly close and delete LAMMPS instance (optional)
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lmp.close()
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.. tab:: PyLammps API
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The :py:class:`PyLammps` class is a wrapper around the
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:py:class:`lammps` class and all of its lower level functions.
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By default, it will create a new instance of :py:class:`lammps` passing
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along all arguments to the constructor of :py:class:`lammps`.
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The :py:class:`PyLammps <lammps.PyLammps>` class is a wrapper around the
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:py:class:`lammps <lammps.lammps>` class and all of its lower level functions.
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By default, it will create a new instance of :py:class:`lammps <lammps.lammps>` passing
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along all arguments to the constructor of :py:class:`lammps <lammps.lammps>`.
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.. code-block:: python
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@ -58,14 +61,18 @@ Here are simple examples using all three Python interfaces:
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# NOTE: argv[0] is set by the lammps class constructor
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args = ["-log", "none"]
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# create LAMMPS instance
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L = PyLammps(cmdargs=args)
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# get and print numerical version code
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print("LAMMPS Version: ", L.version())
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# explicitly close and delete LAMMPS instance (optional)
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L.close()
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:py:class:`PyLammps` objects can also be created on top of an existing :py:class:`lammps` object:
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:py:class:`PyLammps <lammps.PyLammps>` objects can also be created on top of an existing
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:py:class:`lammps <lammps.lammps>` object:
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.. code-block:: Python
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@ -73,6 +80,7 @@ Here are simple examples using all three Python interfaces:
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...
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# create LAMMPS instance
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lmp = lammps(cmdargs=args)
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# create PyLammps instance using previously created LAMMPS instance
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L = PyLammps(ptr=lmp)
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@ -82,8 +90,8 @@ Here are simple examples using all three Python interfaces:
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.. tab:: IPyLammps API
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The :py:class:`IPyLammps` class is an extension of the
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:py:class:`PyLammps` class. It has the same construction behavior. By
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The :py:class:`IPyLammps <lammps.IPyLammps>` class is an extension of the
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:py:class:`PyLammps <lammps.PyLammps>` class. It has the same construction behavior. By
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default, it will create a new instance of :py:class:`lammps` passing
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along all arguments to the constructor of :py:class:`lammps`.
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@ -93,10 +101,13 @@ Here are simple examples using all three Python interfaces:
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# NOTE: argv[0] is set by the lammps class constructor
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args = ["-log", "none"]
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# create LAMMPS instance
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L = IPyLammps(cmdargs=args)
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# get and print numerical version code
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print("LAMMPS Version: ", L.version())
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# explicitly close and delete LAMMPS instance (optional)
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L.close()
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@ -108,6 +119,7 @@ Here are simple examples using all three Python interfaces:
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...
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# create LAMMPS instance
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lmp = lammps(cmdargs=args)
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# create PyLammps instance using previously created LAMMPS instance
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L = PyLammps(ptr=lmp)
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@ -117,53 +129,13 @@ Here are simple examples using all three Python interfaces:
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In all of the above cases, same as with the :ref:`C library API <lammps_c_api>`, this will use the
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``MPI_COMM_WORLD`` communicator for the MPI library that LAMMPS was
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compiled with. The :py:func:`lmp.close() <lammps.lammps.close>` call is
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compiled with.
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The :py:func:`lmp.close() <lammps.lammps.close()>` call is
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optional since the LAMMPS class instance will also be deleted
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automatically during the :py:class:`lammps <lammps.lammps>` class
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destructor.
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.. code-block:: Python
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lmp = lammps() # create a LAMMPS object using the default liblammps.so library
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# 4 optional args are allowed: name, cmdargs, ptr, comm
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lmp = lammps(ptr=lmpptr) # use lmpptr as previously created LAMMPS object
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lmp = lammps(comm=split) # create a LAMMPS object with a custom communicator, requires mpi4py 2.0.0 or later
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lmp = lammps(name="g++") # create a LAMMPS object using the liblammps_g++.so library
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lmp = lammps(name="g++",cmdargs=list) # add LAMMPS command-line args, e.g. list = ["-echo","screen"]
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lmp.close() # destroy a LAMMPS object
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The lines
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.. code-block:: Python
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from lammps import lammps
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lmp = lammps()
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create an instance of LAMMPS, wrapped in a Python class by the lammps
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Python module, and return an instance of the Python class as lmp. It
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is used to make all subsequent calls to the LAMMPS library.
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Additional arguments to lammps() can be used to tell Python the name
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of the shared library to load or to pass arguments to the LAMMPS
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instance, the same as if LAMMPS were launched from a command-line
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prompt.
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If the ptr argument is set like this:
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.. code-block:: Python
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lmp = lammps(ptr=lmpptr)
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then lmpptr must be an argument passed to Python via the LAMMPS
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:doc:`python <python>` command, when it is used to define a Python
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function that is invoked by the LAMMPS input script. This mode of
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calling Python from LAMMPS is described in the :doc:`Python call <Python_call>` doc page. The variable lmpptr refers to the
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instance of LAMMPS that called the embedded Python interpreter. Using
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it as an argument to lammps() allows the returned Python class
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instance "lmp" to make calls to that instance of LAMMPS. See the
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:doc:`python <python>` command doc page for examples using this syntax.
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Note that you can create multiple LAMMPS objects in your Python
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script, and coordinate and run multiple simulations, e.g.
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@ -178,12 +150,13 @@ script, and coordinate and run multiple simulations, e.g.
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Executing LAMMPS commands
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*************************
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Once an instance of the :py:class:`lammps`, :py:class:`PyLammps`, or
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:py:class:`IPyLammps` class is created, there are multiple ways to "feed" it
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commands. In a way that is not very different from running a LAMMPS input
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script, except that Python has many more facilities for structured
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programming than the LAMMPS input script syntax. Furthermore it is possible
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to "compute" what the next LAMMPS command should be.
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Once an instance of the :py:class:`lammps <lammps.lammps>`,
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:py:class:`PyLammps <lammps.PyLammps>`, or
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:py:class:`IPyLammps <lammps.IPyLammps>` class is created, there are
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multiple ways to "feed" it commands. In a way that is not very different from
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running a LAMMPS input script, except that Python has many more facilities
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for structured programming than the LAMMPS input script syntax. Furthermore
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it is possible to "compute" what the next LAMMPS command should be.
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.. tabs::
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@ -194,20 +167,24 @@ to "compute" what the next LAMMPS command should be.
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single string, a list of strings and a block of commands in a single
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multi-line string. They are processed under the same boundary conditions
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as the C library counterparts. The example below demonstrates the use
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of :py:func:`lammps.file`, :py:func:`lammps.command`,
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:py:func:`lammps.commands_list`, and :py:func:`lammps.commands_string`:
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of :py:func:`lammps.file()`, :py:func:`lammps.command()`,
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:py:func:`lammps.commands_list()`, and :py:func:`lammps.commands_string()`:
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.. code-block:: python
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from lammps import lammps
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lmp = lammps()
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# read commands from file 'in.melt'
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lmp.file('in.melt')
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# issue a single command
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lmp.command('variable zpos index 1.0')
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# create 10 groups with 10 atoms each
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cmds = ["group g{} id {}:{}".format(i,10*i+1,10*(i+1)) for i in range(10)]
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lmp.commands_list(cmds)
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# run commands from a multi-line string
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block = """
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clear
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@ -220,7 +197,8 @@ to "compute" what the next LAMMPS command should be.
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.. tab:: PyLammps/IPyLammps API
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Unlike the lammps API, the PyLammps/IPyLammps APIs allow running LAMMPS
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commands by calling equivalent member functions.
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commands by calling equivalent member functions of :py:class:`PyLammps <lammps.PyLammps>`
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and :py:class:`IPyLammps <lammps.IPyLammps>` instances.
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For instance, the following LAMMPS command
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@ -228,7 +206,8 @@ to "compute" what the next LAMMPS command should be.
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region box block 0 10 0 5 -0.5 0.5
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can be executed using the following Python code if *L* is a :py:class:`lammps` instance:
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can be executed using with the lammps AI with the following Python code if *L* is an
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instance of :py:class:`lammps <lammps.lammps>`:
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.. code-block:: Python
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@ -236,7 +215,7 @@ to "compute" what the next LAMMPS command should be.
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With the PyLammps interface, any LAMMPS command can be split up into arbitrary parts.
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These parts are then passed to a member function with the name of the command.
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For the ``region`` command that means the :code:`region` method can be called.
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For the ``region`` command that means the :code:`region()` method can be called.
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The arguments of the command can be passed as one string, or
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individually.
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@ -269,10 +248,13 @@ to "compute" what the next LAMMPS command should be.
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from lammps import PyLammps
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L = PyLammps()
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# read commands from file 'in.melt'
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L.file('in.melt')
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# issue a single command
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L.variable('zpos', 'index', 1.0)
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# create 10 groups with 10 atoms each
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for i in range(10):
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L.group(f"g{i}", "id", f"{10*i+1}:{10*(i+1)}")
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@ -283,76 +265,102 @@ to "compute" what the next LAMMPS command should be.
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L.create_atoms(1, "single", 1.0, 1.0, "${zpos}")
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.. code-block:: Python
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lmp.file(file) # run an entire input script, file = "in.lj"
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lmp.command(cmd) # invoke a single LAMMPS command, cmd = "run 100"
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lmp.commands_list(cmdlist) # invoke commands in cmdlist = **"run 10", "run 20"**
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lmp.commands_string(multicmd) # invoke commands in multicmd = "run 10\nrun 20"
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The file(), command(), commands_list(), commands_string() methods
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allow an input script, a single command, or multiple commands to be
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invoked.
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Retrieving or setting LAMMPS system properties
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**********************************************
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.. code-block:: Python
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Similar to what is described in :doc:`Library_properties`, the instances of
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:py:class:`lammps <lammps.lammps>`, :py:class:`PyLammps <lammps.PyLammps>`, or
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:py:class:`IPyLammps <lammps.IPyLammps>` can be used to extract different kinds
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of information about the active LAMMPS instance and also to modify some of it. The
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main difference between the interfaces is how the information is exposed.
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version = lmp.version() # return the numerical version id, e.g. LAMMPS 2 Sep 2015 -> 20150902
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While the :py:class:`lammps <lammps.lammps>` is just a thin layer that wraps C API calls,
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:py:class:`PyLammps <lammps.PyLammps>` and :py:class:`IPyLammps <lammps.IPyLammps>` expose
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information as objects and properties.
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size = lmp.extract_setting(name) # return data type info
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In some cases the data returned is a direct reference to the original data
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inside LAMMPS cast to ``ctypes`` pointers. Where possible, the wrappers will
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determine the ``ctypes`` data type and cast pointers accordingly. If
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``numpy`` is installed arrays can also be extracted as numpy arrays, which
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will access the C arrays directly and have the correct dimensions to protect
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against invalid accesses.
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xlo = lmp.extract_global(name,type) # extract a global quantity
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# name = "boxxlo", "nlocal", etc
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# type = 0 = int
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# 1 = double
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.. warning::
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boxlo,boxhi,xy,yz,xz,periodicity,box_change = lmp.extract_box() # extract box info
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When accessing per-atom data,
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please note that this data is the per-processor local data and indexed
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accordingly. These arrays can change sizes and order at every neighbor list
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rebuild and atom sort event as atoms are migrating between sub-domains.
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.. tabs::
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.. tab:: lammps API
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.. code-block:: python
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from lammps import lammps
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lmp = lammps()
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lmp.file("in.sysinit")
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natoms = lmp.get_natoms()
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print(f"running simulation with {natoms} atoms")
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lmp.command("run 1000 post no");
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for i in range(10):
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lmp.command("run 100 pre no post no")
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pe = lmp.get_thermo("pe")
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ke = lmp.get_thermo("ke")
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print(f"PE = {pe}\nKE = {ke}")
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lmp.close()
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Methods:
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* :py:meth:`get_version() <lammps.lammps.get_version()>`: return the numerical version id, e.g. LAMMPS 2 Sep 2015 -> 20150902
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* :py:meth:`get_thermo() <lammps.lammps.get_thermo()>`: return current value of a thermo keyword
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* :py:meth:`get_natoms() <lammps.lammps.get_natoms()>`: total # of atoms as int
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* :py:meth:`reset_box() <lammps.lammps.reset_box()>`: reset the simulation box size
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* :py:meth:`extract_setting() <lammps.lammps.extract_setting()>`: return a global setting
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* :py:meth:`extract_global() <lammps.lammps.extract_global()>`: extract a global quantity
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* :py:meth:`extract_atom() <lammps.lammps.extract_atom()>`: extract a per-atom quantity
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* :py:meth:`extract_box() <lammps.lammps.extract_box()>`: extract box info
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* :py:meth:`create_atoms() <lammps.lammps.create_atoms()>`: create N atoms with IDs, types, x, v, and image flags
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Numpy Methods:
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* :py:meth:`numpy.extract_atom() <lammps.lammps.numpy.extract_atom()>`: extract a per-atom quantity as numpy array
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.. tab:: PyLammps/IPyLammps API
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.. code-block:: python
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from lammps import PyLammps
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L = PyLammps()
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L.file("in.sysinit")
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print(f"running simulation with {L.system.natoms} atoms")
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L.run(1000, "post no");
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for i in range(10):
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L.run(100, "pre no post no")
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pe = L.eval("pe")
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ke = L.eval("ke")
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print(f"PE = {pe}\nKE = {ke}")
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value = lmp.get_thermo(name) # return current value of a thermo keyword
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natoms = lmp.get_natoms() # total # of atoms as int
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lmp.reset_box(boxlo,boxhi,xy,yz,xz) # reset the simulation box size
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lmp.create_atoms(n,ids,types,x,v,image,shrinkexceed) # create N atoms with IDs, types, x, v, and image flags
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The :py:meth:`get_thermo() <lammps.lammps.get_thermo()>` method returns the current value of a thermo
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keyword as a float.
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The get_natoms() method returns the total number of atoms in the
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simulation, as an int.
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The reset_box() method resets the size and shape of the simulation
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box, e.g. as part of restoring a previously extracted and saved state
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of a simulation.
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The extract_setting(), extract_global(), extract_box(),
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extract_atom(), extract_compute(), extract_fix(), and
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extract_variable() methods return values or pointers to data
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structures internal to LAMMPS.
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For extract_global() see the src/library.cpp file for the list of
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valid names. New names could easily be added. A double or integer is
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returned. You need to specify the appropriate data type via the type
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argument.
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Retrieving or setting properties of LAMMPS objects
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**************************************************
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.. code-block:: Python
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* :py:meth:`extract_compute() <lammps.lammps.extract_compute()>`
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* :py:meth:`extract_fix() <lammps.lammps.extract_fix()>`
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* :py:meth:`extract_variable() <lammps.lammps.extract_variable()>`
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coords = lmp.extract_atom(name,type) # extract a per-atom quantity
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# name = "x", "type", etc
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# type = 0 = vector of ints
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# 1 = array of ints
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# 2 = vector of doubles
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# 3 = array of doubles
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.. code-block:: Python
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eng = lmp.extract_compute(id,style,type) # extract value(s) from a compute
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v3 = lmp.extract_fix(id,style,type,i,j) # extract value(s) from a fix
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Reference in New Issue
Block a user