python.txt
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python.txt
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			"LAMMPS WWW Site"_lws - "LAMMPS Documentation"_ld - "LAMMPS Commands"_lc :c

			:link(lws,http://lammps.sandia.gov)
			:link(ld,Manual.html)
			:link(lc,Section_commands.html#comm)

			:line

			python command :h3

			[Syntax:]

			python func keyword args ... :pre

			func = name of Python function :ulb,l
			one or more keyword/args pairs must be appended :l
			keyword = {invoke} or {input} or {return} or {format} or {file} or {here} or {exists}
			{invoke} arg = none = invoke the previously defined Python function
			{input} args = N i1 i2 ... iN
			N = # of inputs to function
			i1,...,iN = value, SELF, or LAMMPS variable name
			value = integer number, floating point number, or string
			SELF = reference to LAMMPS itself which can be accessed by Python function
			variable = v_name, where name = name of LAMMPS variable, e.g. v_abc
			{return} arg = varReturn
			varReturn = v_name = LAMMPS variable name which return value of function will be assigned to
			{format} arg = fstring with M characters
			M = N if no return value, where N = # of inputs
			M = N+1 if there is a return value
			fstring = each character (i,f,s,p) corresponds in order to an input or return value
			'i' = integer, 'f' = floating point, 's' = string, 'p' = SELF
			{file} arg = filename
			filename = file of Python code, which defines func
			{here} arg = inline
			inline = one or more lines of Python code which defines func
			must be a single argument, typically enclosed between triple quotes
			{exists} arg = none = Python code has been loaded by previous python command :pre
			:ule

			[Examples:]

			python pForce input 2 v_x 20.0 return v_f format fff file force.py
			python pForce invoke :pre

			python factorial input 1 myN return v_fac format ii here """
			def factorial(n):
			if n == 1: return n
			return n * factorial(n-1)
			""" :pre

			python loop input 1 SELF return v_value format -f here """
			def loop(lmpptr,N,cut0):
			from lammps import lammps
			lmp = lammps(ptr=lmpptr) :pre

			# loop N times, increasing cutoff each time :pre

			for i in range(N):
			cut = cut0 + i*0.1
			lmp.set_variable("cut",cut) # set a variable in LAMMPS
			lmp.command("pair_style lj/cut $\{cut\}") # LAMMPS commands
			lmp.command("pair_coeff * * 1.0 1.0")
			lmp.command("run 100")
			""" :pre

			[Description:]

			NOTE: It is not currently possible to use the "python"_python.html
			command described in this section with Python 3, only with Python 2.
			The C API changed from Python 2 to 3 and the LAMMPS code is not
			compatible with both.

			Define a Python function or execute a previously defined function.
			Arguments, including LAMMPS variables, can be passed to the function
			from the LAMMPS input script and a value returned by the Python
			function to a LAMMPS variable. The Python code for the function can
			be included directly in the input script or in a separate Python file.
			The function can be standard Python code or it can make "callbacks" to
			LAMMPS through its library interface to query or set internal values
			within LAMMPS. This is a powerful mechanism for performing complex
			operations in a LAMMPS input script that are not possible with the
			simple input script and variable syntax which LAMMPS defines. Thus
			your input script can operate more like a true programming language.

			Use of this command requires building LAMMPS with the PYTHON package
			which links to the Python library so that the Python interpreter is
			embedded in LAMMPS. More details about this process are given below.

			There are two ways to invoke a Python function once it has been
			defined. One is using the {invoke} keyword. The other is to assign
			the function to a "python-style variable"_variable.html defined in
			your input script. Whenever the variable is evaluated, it will
			execute the Python function to assign a value to the variable. Note
			that variables can be evaluated in many different ways within LAMMPS.
			They can be substituted for directly in an input script. Or they can
			be passed to various commands as arguments, so that the variable is
			evaluated during a simulation run.

			A broader overview of how Python can be used with LAMMPS is
			given in "Section python"_Section_python.html. There is an
			examples/python directory which illustrates use of the python
			command.

			:line

			The {func} setting specifies the name of the Python function. The
			code for the function is defined using the {file} or {here} keywords
			as explained below.

			If the {invoke} keyword is used, no other keywords can be used, and a
			previous python command must have defined the Python function
			referenced by this command. This invokes the Python function with the
			previously defined arguments and return value processed as explained
			below. You can invoke the function as many times as you wish in your
			input script.

			The {input} keyword defines how many arguments {N} the Python function
			expects. If it takes no arguments, then the {input} keyword should
			not be used. Each argument can be specified directly as a value,
			e.g. 6 or 3.14159 or abc (a string of characters). The type of each
			argument is specified by the {format} keyword as explained below, so
			that Python will know how to interpret the value. If the word SELF is
			used for an argument it has a special meaning. A pointer is passed to
			the Python function which it converts into a reference to LAMMPS
			itself. This enables the function to call back to LAMMPS through its
			library interface as explained below. This allows the Python function
			to query or set values internal to LAMMPS which can affect the
			subsequent execution of the input script. A LAMMPS variable can also
			be used as an argument, specified as v_name, where "name" is the name
			of the variable. Any style of LAMMPS variable can be used, as defined
			by the "variable"_variable.html command. Each time the Python
			function is invoked, the LAMMPS variable is evaluated and its value is
			passed to the Python function.

			The {return} keyword is only needed if the Python function returns a
			value. The specified {varReturn} must be of the form v_name, where
			"name" is the name of a python-style LAMMPS variable, defined by the
			"variable"_variable.html command. The Python function can return a
			numeric or string value, as specified by the {format} keyword.

			As explained on the "variable"_variable.html doc page, the definition
			of a python-style variable associates a Python function name with the
			variable. This must match the {func} setting for this command. For
			exampe these two commands would be self-consistent:

			variable foo python myMultiply
			python myMultiply return v_foo format f file funcs.py :pre

			The two commands can appear in either order in the input script so
			long as both are specified before the Python function is invoked for
			the first time.

			The {format} keyword must be used if the {input} or {return} keyword
			is used. It defines an {fstring} with M characters, where M = sum of
			number of inputs and outputs. The order of characters corresponds to
			the N inputs, followed by the return value (if it exists). Each
			character must be one of the following: "i" for integer, "f" for
			floating point, "s" for string, or "p" for SELF. Each character
			defines the type of the corresponding input or output value of the
			Python function and affects the type conversion that is performed
			internally as data is passed back and forth between LAMMPS and Python.
			Note that it is permissible to use a "python-style
			variable"_variable.html in a LAMMPS command that allows for an
			equal-style variable as an argument, but only if the output of the
			Python function is flagged as a numeric value ("i" or "f") via the
			{format} keyword.

			Either the {file}, {here}, or {exists} keyword must be used, but only
			one of them. These keywords specify what Python code to load into the
			Python interpreter. The {file} keyword gives the name of a file,
			which should end with a ".py" suffix, which contains Python code. The
			code will be immediately loaded into and run in the "main" module of
			the Python interpreter. Note that Python code which contains a
			function definition does not "execute" the function when it is run; it
			simply defines the function so that it can be invoked later.

			The {here} keyword does the same thing, except that the Python code
			follows as a single argument to the {here} keyword. This can be done
			using triple quotes as delimiters, as in the examples above. This
			allows Python code to be listed verbatim in your input script, with
			proper indentation, blank lines, and comments, as desired. See
			"Section 3.2"_Section_commands.html#cmd_2, for an explanation of how
			triple quotes can be used as part of input script syntax.

			The {exists} keyword takes no argument. It means that Python code
			containing the required Python function defined by the {func} setting,
			is assumed to have been previously loaded by another python command.

			Note that the Python code that is loaded and run must contain a
			function with the specified {func} name. To operate properly when
			later invoked, the the function code must match the {input} and
			{return} and {format} keywords specified by the python command.
			Otherwise Python will generate an error.

			:line

			This section describes how Python code can be written to work with
			LAMMPS.

			Whether you load Python code from a file or directly from your input
			script, via the {file} and {here} keywords, the code can be identical.
			It must be indented properly as Python requires. It can contain
			comments or blank lines. If the code is in your input script, it
			cannot however contain triple-quoted Python strings, since that will
			conflict with the triple-quote parsing that the LAMMPS input script
			performs.

			All the Python code you specify via one or more python commands is
			loaded into the Python "main" module, i.e. __main__. The code can
			define global variables or statements that are outside of function
			definitions. It can contain multiple functions, only one of which
			matches the {func} setting in the python command. This means you can
			use the {file} keyword once to load several functions, and the
			{exists} keyword thereafter in subsequent python commands to access
			the other functions previously loaded.

			A Python function you define (or more generally, the code you load)
			can import other Python modules or classes, it can make calls to other
			system functions or functions you define, and it can access or modify
			global variables (in the "main" module) which will persist between
			successive function calls. The latter can be useful, for example, to
			prevent a function from being invoke multiple times per timestep by
			different commands in a LAMMPS input script that access the returned
			python-style variable associated with the function. For example,
			consider this function loaded with two global variables defined
			outside the function:

			nsteplast = -1
			nvaluelast = 0 :pre

			def expensive(nstep):
			global nsteplast,nvaluelast
			if nstep == nsteplast: return nvaluelast
			nsteplast = nstep
			# perform complicated calculation
			nvalue = ...
			nvaluelast = nvalue
			return nvalue :pre

			Nsteplast stores the previous timestep the function was invoked
			(passed as an argument to the function). Nvaluelast stores the return
			value computed on the last function invocation. If the function is
			invoked again on the same timestep, the previous value is simply
			returned, without re-computing it. The "global" statement inside the
			Python function allows it to overwrite the global variables.

			Note that if you load Python code multiple times (via multiple python
			commands), you can overwrite previously loaded variables and functions
			if you are not careful. E.g. if the code above were loaded twice, the
			global variables would be re-initialized, which might not be what you
			want. Likewise, if a function with the same name exists in two chunks
			of Python code you load, the function loaded second will override the
			function loaded first.

			It's important to realize that if you are running LAMMPS in parallel,
			each MPI task will load the Python interpreter and execute a local
			copy of the Python function(s) you define. There is no connection
			between the Python interpreters running on different processors.
			This implies three important things.

			First, if you put a print statement in your Python function, you will
			see P copies of the output, when running on P processors. If the
			prints occur at (nearly) the same time, the P copies of the output may
			be mixed together. Welcome to the world of parallel programming and
			debugging.

			Second, if your Python code loads modules that are not pre-loaded by
			the Python library, then it will load the module from disk. This may
			be a bottleneck if 1000s of processors try to load a module at the
			same time. On some large supercomputers, loading of modules from disk
			by Python may be disabled. In this case you would need to pre-build a
			Python library that has the required modules pre-loaded and link
			LAMMPS with that library.

			Third, if your Python code calls back to LAMMPS (discussed in the
			next section) and causes LAMMPS to perform an MPI operation requires
			global communication (e.g. via MPI_Allreduce), such as computing the
			global temperature of the system, then you must insure all your Python
			functions (running independently on different processors) call back to
			LAMMPS. Otherwise the code may hang.

			:line

			Your Python function can "call back" to LAMMPS through its
			library interface, if you use the SELF input to pass Python
			a pointer to LAMMPS. The mechanism for doing this in your
			Python function is as follows:

			def foo(lmpptr,...):
			from lammps import lammps
			lmp = lammps(ptr=lmpptr)
			lmp.command('print "Hello from inside Python"')
			... :pre

			The function definition must include a variable (lmpptr in this case)
			which corresponds to SELF in the python command. The first line of
			the function imports the Python module lammps.py in the python dir of
			the distribution. The second line creates a Python object "lmp" which
			wraps the instance of LAMMPS that called the function. The
			"ptr=lmpptr" argument is what makes that happen. The thrid line
			invokes the command() function in the LAMMPS library interface. It
			takes a single string argument which is a LAMMPS input script command
			for LAMMPS to execute, the same as if it appeared in your input
			script. In this case, LAMMPS should output

			Hello from inside Python :pre

			to the screen and log file. Note that since the LAMMPS print command
			itself takes a string in quotes as its argument, the Python string
			must be delimited with a different style of quotes.

			"Section 11.7"_Section_python.html#py_7 describes the syntax for how
			Python wraps the various functions included in the LAMMPS library
			interface.

			A more interesting example is in the examples/python/in.python script
			which loads and runs the following function from examples/python/funcs.py:

			def loop(N,cut0,thresh,lmpptr):
			print "LOOP ARGS",N,cut0,thresh,lmpptr
			from lammps import lammps
			lmp = lammps(ptr=lmpptr)
			natoms = lmp.get_natoms() :pre

			for i in range(N):
			cut = cut0 + i*0.1 :pre

			lmp.set_variable("cut",cut) # set a variable in LAMMPS
			lmp.command("pair_style lj/cut $\{cut\}") # LAMMPS command
			#lmp.command("pair_style lj/cut %d" % cut) # LAMMPS command option :pre

			lmp.command("pair_coeff * * 1.0 1.0") # ditto
			lmp.command("run 10") # ditto
			pe = lmp.extract_compute("thermo_pe",0,0) # extract total PE from LAMMPS
			print "PE",pe/natoms,thresh
			if pe/natoms < thresh: return :pre

			with these input script commands:

			python loop input 4 10 1.0 -4.0 SELF format iffp file funcs.py
			python loop invoke :pre

			This has the effect of looping over a series of 10 short runs (10
			timesteps each) where the pair style cutoff is increased from a value
			of 1.0 in distance units, in increments of 0.1. The looping stops
			when the per-atom potential energy falls below a threshhold of -4.0 in
			energy units. More generally, Python can be used to implement a loop
			with complex logic, much more so than can be created using the LAMMPS
			"jump"_jump.html and "if"_if.html commands.

			Several LAMMPS library functions are called from the loop function.
			Get_natoms() returns the number of atoms in the simulation, so that it
			can be used to normalize the potential energy that is returned by
			extract_compute() for the "thermo_pe" compute that is defined by
			default for LAMMPS thermodynamic output. Set_variable() sets the
			value of a string variable defined in LAMMPS. This library function
			is a useful way for a Python function to return multiple values to
			LAMMPS, more than the single value that can be passed back via a
			return statement. This cutoff value in the "cut" variable is then
			substituted (by LAMMPS) in the pair_style command that is executed
			next. Alternatively, the "LAMMPS command option" line could be used
			in place of the 2 preceeding lines, to have Python insert the value
			into the LAMMPS command string.

			NOTE: When using the callback mechanism just described, recognize that
			there are some operations you should not attempt because LAMMPS cannot
			execute them correctly. If the Python function is invoked between
			runs in the LAMMPS input script, then it should be OK to invoke any
			LAMMPS input script command via the library interface command() or
			file() functions, so long as the command would work if it were
			executed in the LAMMPS input script directly at the same point.

			However, a Python function can also be invoked during a run, whenever
			an associated LAMMPS variable it is assigned to is evaluted. If the
			variable is an input argument to another LAMMPS command (e.g. "fix
			setforce"_fix_setforce.html), then the Python function will be invoked
			inside the class for that command, in one of its methods that is
			invoked in the middle of a timestep. You cannot execute arbitrary
			input script commands from the Python function (again, via the
			command() or file() functions) at that point in the run and expect it
			to work. Other library functions such as those that invoke computes
			or other variables may have hidden side effects as well. In these
			cases, LAMMPS has no simple way to check that something illogical is
			being attempted.

			:line

			If you run Python code directly on your workstation, either
			interactively or by using Python to launch a Python script stored in a
			file, and your code has an error, you will typically see informative
			error messages. That is not the case when you run Python code from
			LAMMPS using an embedded Python interpreter. The code will typically
			fail silently. LAMMPS will catch some errors but cannot tell you
			where in the Python code the problem occurred. For example, if the
			Python code cannot be loaded and run because it has syntax or other
			logic errors, you may get an error from Python pointing to the
			offending line, or you may get one of these generic errors from
			LAMMPS:

			Could not process Python file
			Could not process Python string :pre

			When the Python function is invoked, if it does not return properly,
			you will typically get this generic error from LAMMPS:

			Python function evaluation failed :pre

			Here are three suggestions for debugging your Python code while
			running it under LAMMPS.

			First, don't run it under LAMMPS, at least to start with! Debug it
			using plain Python. Load and invoke your function, pass it arguments,
			check return values, etc.

			Second, add Python print statements to the function to check how far
			it gets and intermediate values it calculates. See the discussion
			above about printing from Python when running in parallel.

			Third, use Python exception handling. For example, say this statement
			in your Python function is failing, because you have not initialized the
			variable foo:

			foo += 1 :pre

			If you put one (or more) statements inside a "try" statement,
			like this:

			import exceptions
			print "Inside simple function"
			try:
			foo += 1 # one or more statements here
			except Exception, e:
			print "FOO error:",e :pre

			then you will get this message printed to the screen:

			FOO error: local variable 'foo' referenced before assignment :pre

			If there is no error in the try statements, then nothing is printed.
			Either way the function continues on (unless you put a return or
			sys.exit() in the except clause).

			:line

			[Restrictions:]

			This command is part of the PYTHON package. It is only enabled if
			LAMMPS was built with that package. See the "Making
			LAMMPS"_Section_start.html#start_3 section for more info.

			Building LAMMPS with the PYTHON package will link LAMMPS with the
			Python library on your system. Settings to enable this are in the
			lib/python/Makefile.lammps file. See the lib/python/README file for
			information on those settings.

			If you use Python code which calls back to LAMMPS, via the SELF input
			argument explained above, there is an extra step required when
			building LAMMPS. LAMMPS must also be built as a shared library and
			your Python function must be able to to load the Python module in
			python/lammps.py that wraps the LAMMPS library interface. These are
			the same steps required to use Python by itself to wrap LAMMPS.
			Details on these steps are explained in "Section
			python"_Section.python.html. Note that it is important that the
			stand-alone LAMMPS executable and the LAMMPS shared library be
			consistent (built from the same source code files) in order for this
			to work. If the two have been built at different times using
			different source files, problems may occur.

			As described above, you can use the python command to invoke a Python
			function which calls back to LAMMPS through its Python-wrapped library
			interface. However you cannot do the opposite. I.e. you cannot call
			LAMMPS from Python and invoke the python command to "callback" to
			Python and execute a Python function. LAMMPS will generate an error
			if you try to do that. Note that we think there actually should be a
			way to do that, but haven't yet been able to figure out how to do it
			successfully.

			[Related commands:]

			"shell"_shell.html, "variable"_variable.html

			[Default:] none

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