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2 changes: 2 additions & 0 deletions CHANGELOG.md
Original file line number Diff line number Diff line change
Expand Up @@ -7,6 +7,8 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
## [dev] (MM/DD/YYYY)

### Added
* Added `mkl_random` patching for NumPy, with `mkl_random` context manager, `is_patched` query, and `patch_numpy_random` and `restore_numpy_random` calls to replace `numpy.random` calls with calls from `mkl_random.interfaces.numpy_random` [gh-90](https://github.com/IntelPython/mkl_random/pull/90)

* Added `mkl_random.interfaces` with `mkl_random.interfaces.numpy_random` interface, which aliases `mkl_random` functionality to more strictly adhere to NumPy's API (i.e., drops arguments and functions which are not part of standard NumPy) [gh-92](https://github.com/IntelPython/mkl_random/pull/92)

### Removed
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11 changes: 11 additions & 0 deletions mkl_random/__init__.py
Original file line number Diff line number Diff line change
Expand Up @@ -95,6 +95,13 @@

from mkl_random import interfaces

from ._patch_numpy import (
is_patched,
mkl_random,
patch_numpy_random,
restore_numpy_random,
)

__all__ = [
"MKLRandomState",
"RandomState",
Expand Down Expand Up @@ -147,6 +154,10 @@
"shuffle",
"permutation",
"interfaces",
"mkl_random",
"patch_numpy_random",
"restore_numpy_random",
"is_patched",
]

del _init_helper
184 changes: 184 additions & 0 deletions mkl_random/_patch_numpy.py
Original file line number Diff line number Diff line change
@@ -0,0 +1,184 @@
# Copyright (c) 2019, Intel Corporation
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# * Redistributions of source code must retain the above copyright notice,
# this list of conditions and the following disclaimer.
# * Redistributions in binary form must reproduce the above copyright
# notice, this list of conditions and the following disclaimer in the
# documentation and/or other materials provided with the distribution.
# * Neither the name of Intel Corporation nor the names of its contributors
# may be used to endorse or promote products derived from this software
# without specific prior written permission.
#
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
# AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
# IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
# DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE
# FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
# DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
# SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
# CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
# OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

"""Define functions for patching NumPy with MKL-based NumPy interface."""

from contextlib import ContextDecorator
from threading import Lock, local

import numpy as np

import mkl_random.interfaces.numpy_random as _nrand


class _GlobalPatch:
def __init__(self):
self._lock = Lock()
self._patch_count = 0
self._restore_dict = {}
# make _patched_functions a tuple (immutable)
self._patched_functions = tuple(_nrand.__all__)
self._tls = local()

def _register_func(self, name, func):
if name not in self._patched_functions:
raise ValueError(f"{name} not an mkl_random function.")
if name not in self._restore_dict:
self._restore_dict[name] = getattr(np.random, name)
setattr(np.random, name, func)

def _restore_func(self, name, verbose=False):
if name not in self._patched_functions:
raise ValueError(f"{name} not an mkl_random function.")
try:
val = self._restore_dict[name]
except KeyError:
if verbose:
print(f"failed to restore {name}")
return
else:
if verbose:
print(f"found and restoring {name}...")
setattr(np.random, name, val)

def do_patch(self, verbose=False):
with self._lock:
local_count = getattr(self._tls, "local_count", 0)
if self._patch_count == 0:
if verbose:
print(
"Now patching NumPy random submodule with mkl_random "
"NumPy interface."
)
print(
"Please direct bug reports to "
"https://github.com/IntelPython/mkl_random"
)
for f in self._patched_functions:
self._register_func(f, getattr(_nrand, f))
self._patch_count += 1
self._tls.local_count = local_count + 1

def do_restore(self, verbose=False):
with self._lock:
local_count = getattr(self._tls, "local_count", 0)
if local_count <= 0:
if verbose:
print(
"Warning: restore_numpy_random called more times than "
"patch_numpy_random in this thread."
)
return
self._tls.local_count -= 1
self._patch_count -= 1
if self._patch_count == 0:
if verbose:
print("Now restoring original NumPy random submodule.")
for name in tuple(self._restore_dict):
self._restore_func(name, verbose=verbose)
self._restore_dict.clear()

def is_patched(self):
with self._lock:
return self._patch_count > 0


_patch = _GlobalPatch()


def patch_numpy_random(verbose=False):
"""
Patch NumPy's random submodule with mkl_random's numpy_interface.

Parameters
----------
verbose : bool, optional
print message when starting the patching process.

Notes
-----
This function uses reference-counted semantics. Each call increments a
global patch counter. Restoration requires a matching number of calls
between `patch_numpy_random` and `restore_numpy_random`.

In multi-threaded programs, prefer the `mkl_random` context manager.

"""
_patch.do_patch(verbose=verbose)


def restore_numpy_random(verbose=False):
"""
Restore NumPy's random submodule to its original implementations.

Parameters
----------
verbose : bool, optional
print message when starting restoration process.

Notes
-----
This function uses reference-counted semantics. Each call decrements a
global patch counter. Restoration requires a matching number of calls
between `patch_numpy_random` and `restore_numpy_random`.

In multi-threaded programs, prefer the `mkl_random` context manager.

"""
_patch.do_restore(verbose=verbose)


def is_patched():
"""Return True if NumPy's random sm is currently patched by mkl_random."""
return _patch.is_patched()


class mkl_random(ContextDecorator):
"""
Context manager and decorator to temporarily patch NumPy random submodule
with MKL-based implementations.

Examples
--------
>>> import mkl_random
>>> mkl_random.is_patched()
# False

>>> with mkl_random.mkl_random(): # Enable mkl_random in NumPy
>>> print(mkl_random.is_patched())
# True

>>> mkl_random.is_patched()
# False

"""

def __enter__(self):
patch_numpy_random()
return self

def __exit__(self, *exc):
restore_numpy_random()
return False
105 changes: 105 additions & 0 deletions mkl_random/tests/test_patch.py
Original file line number Diff line number Diff line change
@@ -0,0 +1,105 @@
# Copyright (c) 2017, Intel Corporation
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# * Redistributions of source code must retain the above copyright notice,
# this list of conditions and the following disclaimer.
# * Redistributions in binary form must reproduce the above copyright
# notice, this list of conditions and the following disclaimer in the
# documentation and/or other materials provided with the distribution.
# * Neither the name of Intel Corporation nor the names of its contributors
# may be used to endorse or promote products derived from this software
# without specific prior written permission.
#
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
# AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
# IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
# DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE
# FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
# DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
# SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
# CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
# OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

import numpy as np

import mkl_random
import mkl_random.interfaces.numpy_random as _nrand


def test_is_patched():
"""Test that is_patched() returns correct status."""
assert not mkl_random.is_patched()
try:
mkl_random.patch_numpy_random()
assert mkl_random.is_patched()
mkl_random.restore_numpy_random()
assert not mkl_random.is_patched()
finally:
while mkl_random.is_patched():
mkl_random.restore_numpy_random()


def test_patch():
old_module = np.random.normal.__module__
assert not mkl_random.is_patched()

try:
mkl_random.patch_numpy_random() # Enable mkl_random in NumPy
assert mkl_random.is_patched()
assert np.random.normal.__module__ == _nrand.normal.__module__

mkl_random.restore_numpy_random() # Disable mkl_random in NumPy
assert not mkl_random.is_patched()
assert np.random.normal.__module__ == old_module
finally:
while mkl_random.is_patched():
mkl_random.restore_numpy_random()


def test_patch_redundant_patching():
old_module = np.random.normal.__module__
assert not mkl_random.is_patched()

try:
mkl_random.patch_numpy_random()
mkl_random.patch_numpy_random()

assert mkl_random.is_patched()
assert np.random.normal.__module__ == _nrand.normal.__module__

mkl_random.restore_numpy_random()
assert mkl_random.is_patched()
assert np.random.normal.__module__ == _nrand.normal.__module__

mkl_random.restore_numpy_random()
assert not mkl_random.is_patched()
assert np.random.normal.__module__ == old_module
finally:
while mkl_random.is_patched():
mkl_random.restore_numpy_random()


def test_patch_reentrant():
old_module = np.random.normal.__module__
assert not mkl_random.is_patched()

try:
with mkl_random.mkl_random():
assert mkl_random.is_patched()
assert np.random.normal.__module__ == _nrand.normal.__module__

with mkl_random.mkl_random():
assert mkl_random.is_patched()
assert np.random.normal.__module__ == _nrand.normal.__module__

assert mkl_random.is_patched()
assert np.random.normal.__module__ == _nrand.normal.__module__

assert not mkl_random.is_patched()
assert np.random.normal.__module__ == old_module
finally:
while mkl_random.is_patched():
mkl_random.restore_numpy_random()
6 changes: 6 additions & 0 deletions pyproject.toml
Original file line number Diff line number Diff line change
Expand Up @@ -93,6 +93,12 @@ line_length = 80
multi_line_output = 3
use_parentheses = true

[tool.pylint.main]
extension-pkg-allow-list = ["numpy", "mkl_random.mklrand"]

[tool.pylint.typecheck]
generated-members = ["RandomState", "min", "max"]

[tool.setuptools]
include-package-data = true

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2 changes: 1 addition & 1 deletion setup.py
Original file line number Diff line number Diff line change
Expand Up @@ -92,7 +92,7 @@ def extensions():
extra_compile_args=eca,
define_macros=defs + [("NDEBUG", None)],
language="c++",
)
),
]

return exts
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