Add python support to ITT API

pyitt/.gitignore

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+*.pyc
+build
+dist
+pyitt.egg-info
+venv
+__pycache__
+.coverage

pyitt/MANIFEST.in

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+include README.md
+include MANIFEST.in
+include pyproject.toml
+include setup.py
+recursive-include pyitt *.py
+recursive-include pyitt.native *.cpp *.hpp
+recursive-include ../include *.h
+recursive-include ../LICENSES *
+recursive-include ../src *
+include ../README.md
+include ../SECURITY.md

pyitt/README.md

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+# pyitt
+
+pyitt is a Python binding to Intel Instrumentation and Tracing Technology (ITT) API. It provides a convenient way
+to mark up the Python code for further performance analysis using performance analyzers from Intel like Intel VTune
+or others.
+
+pyitt supports following ITT APIs:
+ - Collection Control API
+ - Domain API
+ - Event API
+ - Id API
+ - String Handle API
+ - Task API
+ - Thread Naming API
+
+## Usage
+
+The main goal of the project is to provide the ability to instrument a Python code using ITT API in the Pythonic way.
+pyitt provides wrappers that simplify markup of Python code.
+
+```python
+import pyitt
+
+@pyitt.task
+def workload():
+  pass
+
+workload()
+```
+
+`pyitt.task` can be used as a decorator. In this case, the name of a callable object (`workload` function in this
+example) will be used as a name of the task and the task will be attributed to a default domain named 'pyitt'.
+If you want to change the default name and/or other parameters for the task (e.g. task domain), you can pass
+them as arguments to `pyitt.task`:
+
+```python
+import pyitt
+
+@pyitt.task('My Task', domain='My Task Domain')
+def workload():
+  pass
+
+workload()
+```
+
+Also, `pyitt.task` returns the object that can be used as a context manager:
+
+```python
+import pyitt
+
+with pyitt.task():
+    # some code here...
+    pass
+```
+
+If the task name is not specified, the `pyitt.task` uses call site information (filename and line number) to give
+the name to the task. A custom name for the task and other task parameters can be specified via arguments
+for `pyitt.task` in the same way as for the decorator form.
+
+## Installation
+
+[TODO] pyitt package is available on PyPi and can be installed in the usual way for the supported configurations:
+
+[TODO]    pip install intel-pyitt
+
+## Build
+
+The native part of pyitt module is written using C++20 standard, therefore you need a compiler that supports this
+standard, for example GCC-10 for Linux and Visual Studio 2022 for Windows.
+
+### Ubuntu 22.04
+
+1. Install the compiler and Python utilities to build module:
+
+       sudo apt install gcc g++ python3-pip
+
+2. Clone the repository:
+
+       git clone --recurse-submodules https://github.com/intel/ittapi.git
+
+3. Build and install pyitt:
+
+       cd pyitt
+       pip install .
+
+### Windows 10/11
+
+1. Install [Python 3.8+](https://www.python.org/downloads/) together with pip utility.
+
+2. Install [Visual Studio 2022](https://visualstudio.microsoft.com/downloads/).
+     Make sure that "Desktop development with C++" workload is selected.
+
+3. Clone the repository
+
+       git clone --recurse-submodules https://github.com/intel/ittapi.git
+
+4. Build and install pyitt
+
+       cd pyitt
+       pip install .
+
+## References
+
+ - [Instrumentation and Tracing Technology APIs](https://www.intel.com/content/www/us/en/docs/vtune-profiler/user-guide/2023-0/instrumentation-and-tracing-technology-apis.html)
+ - [Intel® VTune™ Profiler User Guide - Task Analysis](https://www.intel.com/content/www/us/en/docs/vtune-profiler/user-guide/2023-0/task-analysis.html)
+ - [Intel® Graphics Performance Analyzers User Guide - Instrumentation and Tracing Technology API Support](https://www.intel.com/content/www/us/en/docs/gpa/user-guide/2022-4/instrumentation-and-tracing-technology-apis.html)

pyitt/pyitt.native/collection_control.cpp

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+#include "collection_control.hpp"
+
+#include <ittnotify.h>
+
+
+namespace pyitt
+{
+
+PyObject* pause(PyObject* self, PyObject* Py_UNUSED(args))
+{
+    Py_BEGIN_ALLOW_THREADS;
+    __itt_pause();
+    Py_END_ALLOW_THREADS;
+    Py_RETURN_NONE;
+}
+
+PyObject* resume(PyObject* self, PyObject* Py_UNUSED(args))
+{
+    Py_BEGIN_ALLOW_THREADS;
+    __itt_resume();
+    Py_END_ALLOW_THREADS;
+    Py_RETURN_NONE;
+}
+
+PyObject* detach(PyObject* self, PyObject* Py_UNUSED(args))
+{
+    Py_BEGIN_ALLOW_THREADS;
+    __itt_detach();
+    Py_END_ALLOW_THREADS;
+    Py_RETURN_NONE;
+}
+
+} // namespace pyitt

pyitt/pyitt.native/collection_control.hpp

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+#pragma once
+
+#define PY_SSIZE_T_CLEAN
+#include <Python.h>
+
+
+namespace pyitt
+{
+
+PyObject* pause(PyObject* self, PyObject* args);
+PyObject* resume(PyObject* self, PyObject* args);
+PyObject* detach(PyObject* self, PyObject* args);
+
+} // namespace pyitt