doc/source/f2py/signature-file.rst
The interface definition file (.pyf) is how you can fine-tune the interface
between Python and Fortran. The syntax specification for signature files
(.pyf files) is modeled on the Fortran 90/95 language specification. Almost
all Fortran standard constructs are understood, both in free and fixed
format (recall that Fortran 77 is a subset of Fortran 90/95). F2PY introduces
some extensions to the Fortran 90/95 language specification that help in the
design of the Fortran to Python interface, making it more "Pythonic".
Signature files may contain arbitrary Fortran code so that any Fortran 90/95 codes can be treated as signature files. F2PY silently ignores Fortran constructs that are irrelevant for creating the interface. However, this also means that syntax errors are not caught by F2PY and will only be caught when the library is built.
.. note::
Currently, F2PY may fail with some valid Fortran constructs. If this happens,
you can check the NumPy GitHub issue tracker <https://github.com/numpy/numpy/issues>_ for possible workarounds or
work-in-progress ideas.
In general, the contents of the signature files are case-sensitive. When
scanning Fortran codes to generate a signature file, F2PY lowers all cases
automatically except in multi-line blocks or when the --no-lower option is
used.
The syntax of signature files is presented below.
A signature file may contain one (recommended) or more python module blocks. The python module block describes the contents of
a Python/C extension module <modulename>module.c that F2PY
generates.
.. warning::
Exception: if <modulename> contains a substring __user__, then the
corresponding python module block describes the signatures of call-back
functions (see :ref:Call-back arguments).
A python module block has the following structure::
python module <modulename> [<usercode statement>]... [ interface <usercode statement> <Fortran block data signatures> <Fortran/C routine signatures> end [interface] ]... [ interface module <F90 modulename> [<F90 module data type declarations>] [<F90 module routine signatures>] end [module [<F90 modulename>]] end [interface] ]... end [python module [<modulename>]]
Here brackets [] indicate an optional section, dots ... indicate one or
more of a previous section. So, []... is to be read as zero or more of a
previous section.
The signature of a Fortran routine has the following structure::
[<typespec>] function | subroutine <routine name>
[ ( [<arguments>] ) ] [ result ( <entityname> ) ]
[<argument/variable type declarations>]
[<argument/variable attribute statements>]
[<use statements>]
[<common block statements>]
[<other statements>]
end [ function | subroutine [<routine name>] ]
From a Fortran routine signature F2PY generates a Python/C extension function that has the following signature::
def <routine name>(<required arguments>[,<optional arguments>]): ... return <return variables>
The signature of a Fortran block data has the following structure::
block data [ <block data name> ] [<variable type declarations>] [<variable attribute statements>] [<use statements>] [<common block statements>] [<include statements>] end [ block data [<block data name>] ]
.. _type-declarations:
The definition of the <argument/variable type declaration> part
is
::
<typespec> [ [<attrspec>] :: ] <entitydecl>
where
::
<typespec> := byte | character [<charselector>] | complex [<kindselector>] | real [<kindselector>] | double complex | double precision | integer [<kindselector>] | logical [<kindselector>]
<charselector> := * <charlen> | ( [len=] <len> [ , [kind=] <kind>] ) | ( kind= <kind> [ , len= <len> ] ) <kindselector> := * <intlen> | ( [kind=] <kind> )
<entitydecl> := <name> [ [ * <charlen> ] [ ( <arrayspec> ) ]
| [ ( <arrayspec> ) ] * <charlen> ]
| [ / <init_expr> / | = <init_expr> ]
[ , <entitydecl> ]
and
<attrspec> is a comma separated list of attributes_;
<arrayspec> is a comma separated list of dimension bounds;
<init_expr> is a :ref:C expression <c-expressions>;
<intlen> may be negative integer for integer type
specifications. In such cases integer*<negintlen> represents
unsigned C integers;
If an argument has no <argument type declaration>, its type is
determined by applying implicit rules to its name.
Attribute statements ^^^^^^^^^^^^^^^^^^^^^
The <argument/variable attribute statement> is similar to the
<argument/variable type declaration>, but without <typespec>.
An attribute statement cannot contain other attributes, and <entitydecl> can
be only a list of names. See :ref:f2py-attributes for more details on the
attributes that can be used by F2PY.
Use statements ^^^^^^^^^^^^^^^
The definition of the <use statement> part is
::
use <modulename> [ , <rename_list> | , ONLY : <only_list> ]
where
::
<rename_list> := <local_name> => <use_name> [ , <rename_list> ]
Currently F2PY uses use statements only for linking call-back modules and
external arguments (call-back functions). See :ref:Call-back arguments.
Common block statements ^^^^^^^^^^^^^^^^^^^^^^^
The definition of the <common block statement> part is
::
common / <common name> / <shortentitydecl>
where
::
<shortentitydecl> := <name> [ ( <arrayspec> ) ] [ , <shortentitydecl> ]
If a python module block contains two or more common blocks
with the same name, the variables from the additional declarations
are appended. The types of variables in <shortentitydecl> are
defined using <argument type declarations>. Note that the
corresponding <argument type declarations> may contain array
specifications; then these need not be specified in <shortentitydecl>.
Other statements ^^^^^^^^^^^^^^^^^
The <other statement> part refers to any other Fortran language
constructs that are not described above. F2PY ignores most of them
except the following:
call statements and function calls of external arguments
(see :ref:more details on external arguments <external>);
include statements
::
include '<filename>'
include "<filename>"
If a file <filename> does not exist, the include
statement is ignored. Otherwise, the file <filename> is
included to a signature file. include statements can be used
in any part of a signature file, also outside the Fortran/C
routine signature blocks.
implicit statements
::
implicit none
implicit <list of implicit maps>
where
::
<implicit map> := <typespec> ( <list of letters or range of letters> )
Implicit rules are used to determine the type specification of
a variable (from the first-letter of its name) if the variable
is not defined using <variable type declaration>. Default
implicit rules are given by:
::
implicit real (a-h,o-z,$_), integer (i-m)
entry statements
::
entry <entry name> [([<arguments>])]
F2PY generates wrappers for all entry names using the signature of the routine block.
.. note::
The ``entry`` statement can be used to describe the signature of an
arbitrary subroutine or function allowing F2PY to generate a number of
wrappers from only one routine block signature. There are few
restrictions while doing this: ``fortranname`` cannot be used,
``callstatement`` and ``callprotoargument`` can be used only if they are
valid for all entry routines, etc.
F2PY statements ^^^^^^^^^^^^^^^^
In addition, F2PY introduces the following statements:
threadsafe
Uses a Py_BEGIN_ALLOW_THREADS .. Py_END_ALLOW_THREADS block
around the call to Fortran/C function.
callstatement <C-expr|multi-line block>
Replaces the F2PY generated call statement to Fortran/C function with
<C-expr|multi-line block>. The wrapped Fortran/C function is available
as (*f2py_func).
To raise an exception, set f2py_success = 0 in <C-expr|multi-line block>.
callprotoargument <C-typespecs>
When the callstatement statement is used, F2PY may not generate proper
prototypes for Fortran/C functions (because <C-expr> may contain function
calls, and F2PY has no way to determine what should be the proper prototype).
With this statement you can explicitly specify the arguments of the corresponding prototype::
extern <return type> FUNC_F(<routine name>,<ROUTINE NAME>)(<callprotoargument>);
fortranname [<actual Fortran/C routine name>]
F2PY allows for the use of an arbitrary <routine name> for a given
Fortran/C function. Then this statement is used for the <actual Fortran/C routine name>.
If fortranname statement is used without
<actual Fortran/C routine name> then a dummy wrapper is
generated.
usercode <multi-line block>
When this is used inside a python module block, the given C code will
be inserted to generated C/API source just before wrapper function
definitions.
Here you can define arbitrary C functions to be used for the initialization of optional arguments.
For example, if usercode is used twice inside python module block
then the second multi-line block is inserted after the definition of
the external routines.
When used inside <routine signature>, then the given C code will be
inserted into the corresponding wrapper function just after the
declaration of variables but before any C statements. So, the
usercode follow-up can contain both declarations and C statements.
When used inside the first interface block, then the given C code will
be inserted at the end of the initialization function of the extension
module. This is how the extension modules dictionary can be modified and
has many use-cases; for example, to define additional variables.
pymethoddef <multiline block>
This is a multi-line block which will be inserted into the definition of a
module methods PyMethodDef-array. It must be a comma-separated list of
C arrays (see Extending and Embedding__ Python documentation for
details). pymethoddef statement can be used only inside python module block.
__ https://docs.python.org/extending/index.html
.. _f2py-attributes:
The following attributes can be used by F2PY.
optional
The corresponding argument is moved to the end of <optional arguments>
list. A default value for an optional argument can be specified via
<init_expr> (see the entitydecl :ref:definition <type-declarations>)
.. note::
<init_expr> is used, the optional attribute is set
automatically by F2PY.required
The corresponding argument with this attribute is considered mandatory. This
is the default. required should only be specified if there is a need to
disable the automatic optional setting when <init_expr> is used.
If a Python None object is used as a required argument, the argument is
treated as optional. That is, in the case of array arguments, the memory is
allocated. If <init_expr> is given, then the corresponding initialization
is carried out.
dimension(<arrayspec>)
The corresponding variable is considered as an array with dimensions given in
<arrayspec>.
intent(<intentspec>)
This specifies the "intention" of the corresponding argument. <intentspec>
is a comma separated list of the following keys:
in
The corresponding argument is considered to be input-only. This means that
the value of the argument is passed to a Fortran/C function and that the
function is expected to not change the value of this argument.
inout
The corresponding argument is marked for input/output or as an in situ
output argument. intent(inout) arguments can be only
:term:contiguous NumPy arrays (in either the Fortran or C sense) with
proper type and size. The latter coincides with the default contiguous
concept used in NumPy and is effective only if intent(c) is used. F2PY
assumes Fortran contiguous arguments by default.
.. note::
Using ``intent(inout)`` is generally not recommended, as it can cause
unexpected results. For example, scalar arguments using
``intent(inout)`` are assumed to be array objects in order to have
*in situ* changes be effective. Use ``intent(in,out)`` instead.
See also the intent(inplace) attribute.
inplace
The corresponding argument is considered to be an input/output or in situ output
argument. intent(inplace) arguments must be NumPy arrays of a proper
size. If the size of an array is not "proper" or the array is
non-contiguous then the routine will be passed a fixed copy of array,
which has the :c:data:NPY_ARRAY_WRITEBACKIFCOPY flag set, so that the
result will be copied back to the original array on exit.
.. note::
Since copies may be made, ``intent(inplace)`` can be slower than expected.
It is recommended over ``inout``, but not over ``in,out``.
out
The corresponding argument is considered to be a return variable. It is appended to the
<returned variables> list. Using intent(out) sets intent(hide)
automatically, unless intent(in) or intent(inout) are specified
as well.
By default, returned multidimensional arrays are Fortran-contiguous. If
intent(c) attribute is used, then the returned multidimensional arrays
are C-contiguous.
hide
The corresponding argument is removed from the list of required or optional
arguments. Typically intent(hide) is used with intent(out)
or when <init_expr> completely determines the value of the
argument like in the following example::
integer intent(hide),depend(a) :: n = len(a)
real intent(in),dimension(n) :: a
c
The corresponding argument is treated as a C scalar or C array argument. For the case
of a scalar argument, its value is passed to a C function as a C scalar
argument (recall that Fortran scalar arguments are actually C pointer
arguments). For array arguments, the wrapper function is assumed to treat
multidimensional arrays as C-contiguous arrays.
There is no need to use intent(c) for one-dimensional
arrays, irrespective of whether the wrapped function is in Fortran or C.
This is because the concepts of Fortran- and C contiguity overlap in
one-dimensional cases.
If intent(c) is used as a statement but without an entity
declaration list, then F2PY adds the intent(c) attribute to all
arguments.
Also, when wrapping C functions, one must use intent(c)
attribute for <routine name> in order to disable Fortran
specific F_FUNC(..,..) macros.
cache
The corresponding argument is treated as junk memory. No Fortran nor C contiguity
checks are carried out. Using intent(cache) makes sense only for array
arguments, also in conjunction with intent(hide) or optional
attributes.
copy
Ensures that the original contents of intent(in) argument is
preserved. Typically used with the intent(in,out) attribute. F2PY
creates an optional argument overwrite_<argument name> with the
default value 0.
overwrite
This indicates that the original contents of the intent(in) argument
may be altered by the Fortran/C function. F2PY creates an optional
argument overwrite_<argument name> with the default value 1.
out=<new name>
Replaces the returned name with <new name> in the __doc__ string
of the wrapper function.
callback
Constructs an external function suitable for calling Python functions
from Fortran. intent(callback) must be specified before the
corresponding external statement. If the 'argument' is not in
the argument list then it will be added to Python wrapper but only
by initializing an external function.
.. note::
Use ``intent(callback)`` in situations where the Fortran/C code assumes
that the user implemented a function with a given prototype and linked
it to an executable. Don't use ``intent(callback)`` if the function
appears in the argument list of a Fortran routine.
With intent(hide) or optional attributes specified and using a
wrapper function without specifying the callback argument in the argument
list; then the call-back function is assumed to be found in the namespace
of the F2PY generated extension module where it can be set as a module
attribute by a user.
aux
Defines an auxiliary C variable in the F2PY generated wrapper function.
Useful to save parameter values so that they can be accessed in
initialization expressions for other variables.
.. note::
``intent(aux)`` silently implies ``intent(c)``.
The following rules apply:
If none of intent(in | inout | out | hide) are specified,
intent(in) is assumed.
intent(in,inout) is intent(in);
intent(in,hide) or intent(inout,hide) is intent(hide);
intent(out) is intent(out,hide) unless intent(in) or
intent(inout) is specified.
If intent(copy) or intent(overwrite) is used, then an additional
optional argument is introduced with a name overwrite_<argument name>
and a default value 0 or 1, respectively.
intent(inout,inplace) is intent(inplace);
intent(in,inplace) is intent(inplace);
intent(hide) disables optional and required.
check([<C-booleanexpr>])
Performs a consistency check on the arguments by evaluating
<C-booleanexpr>; if <C-booleanexpr> returns 0, an exception is raised.
.. note::
If ``check(..)`` is not used then F2PY automatically generates a few
standard checks (e.g. in a case of an array argument, it checks for the
proper shape and size). Use ``check()`` to disable checks
generated by F2PY.
depend([<names>])
This declares that the corresponding argument depends on the values
of variables in the <names> list. For example, <init_expr>
may use the values of other arguments. Using information given by
depend(..) attributes, F2PY ensures that arguments are
initialized in a proper order. If the depend(..) attribute is not
used then F2PY determines dependence relations automatically. Use
depend() to disable the dependence relations generated by F2PY.
When you edit dependence relations that were initially generated by F2PY, be careful not to break the dependence relations of other relevant variables. Another thing to watch out for is cyclic dependencies. F2PY is able to detect cyclic dependencies when constructing wrappers and it complains if any are found.
allocatable
The corresponding variable is a Fortran 90 allocatable array defined as
Fortran 90 module data.
.. _external:
external
The corresponding argument is a function provided by user. The
signature of this call-back function can be defined
__user__ module block,<other statements> block.For example, F2PY generates from:
.. code-block:: fortran
external cb_sub, cb_fun
integer n
real a(n),r
call cb_sub(a,n)
r = cb_fun(4)
the following call-back signatures:
.. code-block:: fortran
subroutine cb_sub(a,n)
real dimension(n) :: a
integer optional,check(len(a)>=n),depend(a) :: n=len(a)
end subroutine cb_sub
function cb_fun(e_4_e) result (r)
integer :: e_4_e
real :: r
end function cb_fun
The corresponding user-provided Python function are then:
.. code-block:: python
def cb_sub(a,[n]):
...
return
def cb_fun(e_4_e):
...
return r
See also the intent(callback) attribute.
parameter
This indicates that the corresponding variable is a parameter and it must have
a fixed value. F2PY replaces all parameter occurrences by their corresponding
values.
F2PY directives ^^^^^^^^^^^^^^^^
The F2PY directives allow using F2PY signature file constructs in Fortran 77/90 source codes. With this feature one can (almost) completely skip the intermediate signature file generation and apply F2PY directly to Fortran source codes.
F2PY directives have the following form::
<comment char>f2py ...
where allowed comment characters for fixed and free format Fortran
codes are cC*!# and !, respectively. Everything that follows
<comment char>f2py is ignored by a compiler but read by F2PY as a
normal non-comment Fortran line:
.. note:: When F2PY finds a line with F2PY directive, the directive is first replaced by 5 spaces and then the line is reread.
For fixed format Fortran codes, <comment char> must be at the
first column of a file, of course. For free format Fortran codes,
the F2PY directives can appear anywhere in a file.
.. _c-expressions:
C expressions ^^^^^^^^^^^^^^
C expressions are used in the following parts of signature files:
<init_expr> for variable initialization;<C-booleanexpr> of the check attribute;<arrayspec> of the dimension attribute;callstatement statement, here also a C multi-line block can be used.A C expression may contain:
standard C constructs;
functions from math.h and Python.h;
variables from the argument list, presumably initialized before according to given dependence relations;
the following CPP macros:
f2py_rank(<name>)
Returns the rank of an array <name>.
f2py_shape(<name>, <n>)
Returns the <n>-th dimension of an array <name>.
f2py_len(<name>)
Returns the length of an array <name>.
f2py_size(<name>)
Returns the size of an array <name>.
f2py_itemsize(<name>)
Returns the itemsize of an array <name>.
f2py_slen(<name>)
Returns the length of a string <name>.
For initializing an array <array name>, F2PY generates a loop over
all indices and dimensions that executes the following
pseudo-statement::
<array name>(_i[0],_i[1],...) = <init_expr>;
where _i[<i>] refers to the <i>-th index value and that runs
from 0 to shape(<array name>,<i>)-1.
For example, a function myrange(n) generated from the following
signature
.. code-block::
subroutine myrange(a,n)
fortranname ! myrange is a dummy wrapper
integer intent(in) :: n
real*8 intent(c,out),dimension(n),depend(n) :: a = _i[0]
end subroutine myrange
is equivalent to numpy.arange(n,dtype=float).
.. warning::
F2PY may lower cases also in C expressions when scanning Fortran codes
(see --[no]-lower option).
Multi-line blocks ^^^^^^^^^^^^^^^^^^
A multi-line block starts with ''' (triple single-quotes) and ends
with ''' in some strictly subsequent line. Multi-line blocks can
be used only within .pyf files. The contents of a multi-line block can
be arbitrary (except that it cannot contain ''') and no
transformations (e.g. lowering cases) are applied to it.
Currently, multi-line blocks can be used in the following constructs:
as a C expression of the callstatement statement;
as a C type specification of the callprotoargument statement;
as a C code block of the usercode statement;
as a list of C arrays of the pymethoddef statement;
F2PY extends char-selector specification, usable within a signature file or a F2PY directive, as follows::
<extended-charselector> := <charselector> | (f2py_len= <len>)
See :ref:Character Strings for usage.