* removed pybind as submodule * added hardcopy of pybind11 2.10.0 * rename pybind11 folder to avoid conflicts when changing branch Co-authored-by: Dhanya Thattil <dhanya.thattil@psi.ch>
5.6 KiB
Utilities
Using Python's print function in C++
The usual way to write output in C++ is using std::cout
while in Python one would use print. Since these methods
use different buffers, mixing them can lead to output order issues. To
resolve this, pybind11 modules can use the py::print function which
writes to Python's sys.stdout for consistency.
Python's print function is replicated in the C++ API
including optional keyword arguments sep, end,
file, flush. Everything works as expected in
Python:
py::print(1, 2.0, "three"); // 1 2.0 three
py::print(1, 2.0, "three", "sep"_a="-"); // 1-2.0-three
auto args = py::make_tuple("unpacked", true);
py::print("->", *args, "end"_a="<-"); // -> unpacked True <-Capturing standard output from ostream
Often, a library will use the streams std::cout and
std::cerr to print, but this does not play well with
Python's standard sys.stdout and sys.stderr
redirection. Replacing a library's printing with
py::print <print> may not be feasible. This can be
fixed using a guard around the library function that redirects output to
the corresponding Python streams:
#include <pybind11/iostream.h>
...
// Add a scoped redirect for your noisy code
m.def("noisy_func", []() {
py::scoped_ostream_redirect stream(
std::cout, // std::ostream&
py::module_::import("sys").attr("stdout") // Python output
);
call_noisy_func();
});Warning
The implementation in pybind11/iostream.h is NOT thread
safe. Multiple threads writing to a redirected ostream concurrently
cause data races and potentially buffer overflows. Therefore it is
currently a requirement that all (possibly) concurrent redirected
ostream writes are protected by a mutex. #HelpAppreciated: Work on
iostream.h thread safety. For more background see the discussions under
PR #2982 and
PR #2995.
This method respects flushes on the output streams and will flush if
needed when the scoped guard is destroyed. This allows the output to be
redirected in real time, such as to a Jupyter notebook. The two
arguments, the C++ stream and the Python output, are optional, and
default to standard output if not given. An extra type,
py::scoped_estream_redirect <scoped_estream_redirect>,
is identical except for defaulting to std::cerr and
sys.stderr; this can be useful with
py::call_guard, which allows multiple items, but uses the
default constructor:
// Alternative: Call single function using call guard
m.def("noisy_func", &call_noisy_function,
py::call_guard<py::scoped_ostream_redirect,
py::scoped_estream_redirect>());The redirection can also be done in Python with the addition of a
context manager, using the
py::add_ostream_redirect() <add_ostream_redirect>
function:
py::add_ostream_redirect(m, "ostream_redirect");The name in Python defaults to ostream_redirect if no
name is passed. This creates the following context manager in
Python:
with ostream_redirect(stdout=True, stderr=True):
noisy_function()It defaults to redirecting both streams, though you can use the keyword arguments to disable one of the streams if needed.
Note
The above methods will not redirect C-level output to file
descriptors, such as fprintf. For those cases, you'll need
to redirect the file descriptors either directly in C or with Python's
os.dup2 function in an operating-system dependent way.
Evaluating Python expressions from strings and files
pybind11 provides the eval, exec and
eval_file functions to evaluate Python expressions and
statements. The following example illustrates how they can be used.
// At beginning of file
#include <pybind11/eval.h>
...
// Evaluate in scope of main module
py::object scope = py::module_::import("__main__").attr("__dict__");
// Evaluate an isolated expression
int result = py::eval("my_variable + 10", scope).cast<int>();
// Evaluate a sequence of statements
py::exec(
"print('Hello')\n"
"print('world!');",
scope);
// Evaluate the statements in an separate Python file on disk
py::eval_file("script.py", scope);C++11 raw string literals are also supported and quite handy for this
purpose. The only requirement is that the first statement must be on a
new line following the raw string delimiter R"(, ensuring
all lines have common leading indent:
py::exec(R"(
x = get_answer()
if x == 42:
print('Hello World!')
else:
print('Bye!')
)", scope
);Note
eval and eval_file accept a template parameter that
describes how the string/file should be interpreted. Possible choices
include eval_expr (isolated expression),
eval_single_statement (a single statement, return value is
always none), and eval_statements (sequence of
statements, return value is always none). eval defaults to eval_expr, eval_file defaults to
eval_statements and exec is
just a shortcut for eval<eval_statements>.