Signature file¶
The syntax specification for signature files (.pyf files) is borrowed from the Fortran 90/95 language specification. Almost all Fortran 90/95 standard constructs are understood, both in free and fixed format (recall that Fortran 77 is a subset of Fortran 90/95). F2PY introduces also some extensions to Fortran 90/95 language specification that help designing Fortran to Python interface, make it more “Pythonic”.
Signature files may contain arbitrary Fortran code (so that Fortran codes can be considered as signature files). F2PY silently ignores Fortran constructs that are irrelevant for creating the interface. However, this includes also syntax errors. So, be careful not making ones;-).
In general, the contents of signature files is case-sensitive. When
scanning Fortran codes and writing a signature file, F2PY lowers all
cases automatically except in multiline blocks or when --no-lower
option is used.
The syntax of signature files is presented below.
Python module block¶
A signature file may contain one (recommended) or more python
module
blocks. python module
block describes the contents of
a Python/C extension module <modulename>module.c
that F2PY
generates.
Exception: if <modulename>
contains a substring __user__
, then
the corresponding python module
block describes the signatures of
so-called call-back functions (see 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 part, dots ...
indicate
one or more of a previous part. So, []...
reads zero or more of a
previous part.
Fortran/C routine signatures¶
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 C expression.<intlen>
may be negative integer forinteger
type specifications. In such casesinteger*<negintlen>
represents unsigned C integers.
If an argument has no <argument type declaration>
, its type is
determined by applying implicit
rules to its name.
Statements¶
- Attribute statements:
- The
<argument/variable attribute statement>
is<argument/variable type declaration>
without<typespec>
. In addition, in an attribute statement one cannot use other attributes, also<entitydecl>
can be only a list of names. - Use statements:
The definition of the
<use statement>
part isuse <modulename> [ , <rename_list> | , ONLY : <only_list> ]
where
<rename_list> := <local_name> => <use_name> [ , <rename_list> ]
Currently F2PY uses
use
statement only for linking call-back modules andexternal
arguments (call-back functions), see Call-back arguments.- Common block statements:
The definition of the
<common block statement>
part iscommon / <common name> / <shortentitydecl>
where
<shortentitydecl> := <name> [ ( <arrayspec> ) ] [ , <shortentitydecl> ]
If a
python module
block contains two or morecommon
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 you don’t need to specify these 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 exceptcall
statements and function calls ofexternal
arguments (more details?);include
statementsinclude '<filename>' include "<filename>"
If a file
<filename>
does not exist, theinclude
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
statementsimplicit 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 rule is given byimplicit real (a-h,o-z,$_), integer (i-m)
entry
statementsentry <entry name> [([<arguments>])]
F2PY generates wrappers to all entry names using the signature of the routine block.
Tip:
entry
statement can be used to describe the signature of an arbitrary routine 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
andcallprotoargument
can be used only if they are valid for all entry routines, etc.
In addition, F2PY introduces the following statements:
threadsafe
Use
Py_BEGIN_ALLOW_THREADS .. Py_END_ALLOW_THREADS
block around the call to Fortran/C function.
callstatement <C-expr|multi-line block>
Replace 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, setf2py_success = 0
in<C-expr|multi-line block>
.
callprotoargument <C-typespecs>
When
callstatement
statement is used then F2PY may not generate proper prototypes for Fortran/C functions (because<C-expr>
may contain any 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>]
You can use arbitrary
<routine name>
for a given Fortran/C function. Then you have to specify<actual Fortran/C routine name>
with this statement.If
fortranname
statement is used without<actual Fortran/C routine name>
then a dummy wrapper is generated.
usercode <multi-line block>
When used inside
python module
block, then 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 in initialization of optional arguments, for example. Ifusercode
is used twice insidepython module
block then the second multiline block is inserted after the definition of external routines.When used inside
<routine signature>
, then given C code will be inserted to the corresponding wrapper function just after declaring variables but before any C statements. So,usercode
follow-up can contain both declarations and C statements.When used inside the first
interface
block, then given C code will be inserted at the end of the initialization function of the extension module. Here you can modify extension modules dictionary. For example, for defining additional variables etc.
pymethoddef <multiline block>
Multiline block will be inserted to the definition of 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 insidepython module
block.
Attributes¶
The following attributes are 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<init_expr>
, seeentitydecl
definition. Note that the default value must be given as a valid C expression.Note that whenever
<init_expr>
is used,optional
attribute is set automatically by F2PY.For an optional array argument, all its dimensions must be bounded.
required
The corresponding argument is considered as a required one. This is default. You need to specify
required
only if there is a need to disable automaticoptional
setting when<init_expr>
is used.If Python
None
object is used as a required argument, the argument is treated as optional. That is, in the case of array argument, the memory is allocated. And if<init_expr>
is given, the corresponding initialization is carried out.dimension(<arrayspec>)
- The corresponding variable is considered as an array with given
dimensions in
<arrayspec>
. intent(<intentspec>)
This specifies the “intention” of the corresponding argument.
<intentspec>
is a comma separated list of the following keys:in
The argument is considered as an input-only argument. It means that the value of the argument is passed to Fortran/C function and that function is expected not to change the value of an argument.
inout
The argument is considered as an input/output or in situ output argument.
intent(inout)
arguments can be only “contiguous” NumPy arrays with proper type and size. Here “contiguous” can be either in Fortran or C sense. The latter one coincides with the contiguous concept used in NumPy and is effective only ifintent(c)
is used. Fortran contiguity is assumed by default.Using
intent(inout)
is generally not recommended, useintent(in,out)
instead. See alsointent(inplace)
attribute.
inplace
The argument is considered as an input/output or in situ output argument.
intent(inplace)
arguments must be NumPy arrays with proper size. If the type of an array is not “proper” or the array is non-contiguous then the array will be changed in-place to fix the type and make it contiguous.Using
intent(inplace)
is generally not recommended either. For example, when slices have been taken from anintent(inplace)
argument then after in-place changes, slices data pointers may point to unallocated memory area.
out
The argument is considered as a return variable. It is appended to the
<returned variables>
list. Usingintent(out)
setsintent(hide)
automatically, unless alsointent(in)
orintent(inout)
were used.By default, returned multidimensional arrays are Fortran-contiguous. If
intent(c)
is used, then returned multidimensional arrays are C-contiguous.
hide
The argument is removed from the list of required or optional arguments. Typically
intent(hide)
is used withintent(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 argument is treated as a C scalar or C array argument. In the case of a scalar argument, its value is passed to C function as a C scalar argument (recall that Fortran scalar arguments are actually C pointer arguments). In the case of an array argument, 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, no matter if the wrapped function is either a Fortran or a C function. 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 theintent(c)
attribute to all arguments.Also, when wrapping C functions, one must use
intent(c)
attribute for<routine name>
in order to disable Fortran specificF_FUNC(..,..)
macros.
cache
The argument is treated as a junk of memory. No Fortran nor C contiguity checks are carried out. Using
intent(cache)
makes sense only for array arguments, also in connection withintent(hide)
oroptional
attributes.
copy
Ensure that the original contents of
intent(in)
argument is preserved. Typically used in connection withintent(in,out)
attribute. F2PY creates an optional argumentoverwrite_<argument name>
with the default value0
.
overwrite
The original contents of the
intent(in)
argument may be altered by the Fortran/C function. F2PY creates an optional argumentoverwrite_<argument name>
with the default value1
.
out=<new name>
Replace the return name with
<new name>
in the__doc__
string of a wrapper function.
callback
Construct an external function suitable for calling Python function from Fortran.
intent(callback)
must be specified before the correspondingexternal
statement. If ‘argument’ is not in argument list then it will be added to Python wrapper but only initializing external function.Use
intent(callback)
in situations where a Fortran/C code assumes that a user implements a function with given prototype and links it to an executable. Don’t useintent(callback)
if function appears in the argument list of a Fortran routine.With
intent(hide)
oroptional
attributes specified and using a wrapper function without specifying the callback argument in argument list then call-back function is looked in the namespace of F2PY generated extension module where it can be set as a module attribute by a user.
aux
Define auxiliary C variable in F2PY generated wrapper function. Useful to save parameter values so that they can be accessed in initialization expression of other variables. Note that
intent(aux)
silently impliesintent(c)
.
The following rules apply:
- If no
intent(in | inout | out | hide)
is specified,intent(in)
is assumed. intent(in,inout)
isintent(in)
.intent(in,hide)
orintent(inout,hide)
isintent(hide)
.intent(out)
isintent(out,hide)
unlessintent(in)
orintent(inout)
is specified.- If
intent(copy)
orintent(overwrite)
is used, then an additional optional argument is introduced with a nameoverwrite_<argument name>
and a default value 0 or 1, respectively. intent(inout,inplace)
isintent(inplace)
.intent(in,inplace)
isintent(inplace)
.intent(hide)
disablesoptional
andrequired
.
check([<C-booleanexpr>])
Perform consistency check of arguments by evaluating
<C-booleanexpr>
; if<C-booleanexpr>
returns 0, an exception is raised.If
check(..)
is not used then F2PY generates few standard checks (e.g. in a case of an array argument, check for the proper shape and size) automatically. Usecheck()
to disable checks generated by F2PY.depend([<names>])
This declares that the corresponding argument depends on the values of variables in the list
<names>
. For example,<init_expr>
may use the values of other arguments. Using information given bydepend(..)
attributes, F2PY ensures that arguments are initialized in a proper order. Ifdepend(..)
attribute is not used then F2PY determines dependence relations automatically. Usedepend()
to disable 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 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 Fortran 90 allocatable array defined as Fortran 90 module data.
external
The corresponding argument is a function provided by user. The signature of this so-called call-back function can be defined
- in
__user__
module block, - or by demonstrative (or real, if the signature file is a real Fortran
code) call in the
<other statements>
block.
For example, F2PY generates from
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:
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:
def cb_sub(a,[n]): ... return def cb_fun(e_4_e): ... return r
See also
intent(callback)
attribute.- in
parameter
- The corresponding variable is a parameter and it must have a fixed value. F2PY replaces all parameter occurrences by their corresponding values.
Extensions¶
F2PY directives¶
The so-called F2PY directives allow using F2PY signature file constructs also in Fortran 77/90 source codes. With this feature you can skip (almost) completely intermediate signature file generations and apply F2PY directly to Fortran source codes.
F2PY directive has 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 Fortran, non-comment line:
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,
F2PY directives can appear anywhere in a file.
C expressions¶
C expressions are used in the following parts of signature files:
<init_expr>
of variable initialization;<C-booleanexpr>
of thecheck
attribute;<arrayspec> of the ``dimension
attribute;callstatement
statement, here also a C multiline block can be used.
A C expression may contain:
standard C constructs;
functions from
math.h
andPython.h
;variables from the argument list, presumably initialized before according to given dependence relations;
the following CPP macros:
rank(<name>)
Returns the rank of an array
<name>
.shape(<name>,<n>)
Returns the
<n>
-th dimension of an array<name>
.len(<name>)
Returns the length of an array
<name>
.size(<name>)
Returns the size of an array
<name>
.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
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).
Multiline blocks¶
A multiline block starts with '''
(triple single-quotes) and ends
with '''
in some strictly subsequent line. Multiline blocks can
be used only within .pyf files. The contents of a multiline block can
be arbitrary (except that it cannot contain '''
) and no
transformations (e.g. lowering cases) are applied to it.
Currently, multiline 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; - as documentation string.