"""
SciPy: A scientific computing package for Python
================================================

Documentation is available in the docstrings and
online at https://docs.scipy.org.

Subpackages
-----------
Using any of these subpackages requires an explicit import. For example,
``import scipy.cluster``.

::

 cluster                      --- Vector Quantization / Kmeans
 constants                    --- Physical and mathematical constants and units
 datasets                     --- Dataset methods
 fft                          --- Discrete Fourier transforms
 fftpack                      --- Legacy discrete Fourier transforms
 integrate                    --- Integration routines
 interpolate                  --- Interpolation Tools
 io                           --- Data input and output
 linalg                       --- Linear algebra routines
 misc                         --- Utilities that don't have another home.
 ndimage                      --- N-D image package
 odr                          --- Orthogonal Distance Regression
 optimize                     --- Optimization Tools
 signal                       --- Signal Processing Tools
 sparse                       --- Sparse Matrices
 spatial                      --- Spatial data structures and algorithms
 special                      --- Special functions
 stats                        --- Statistical Functions

Public API in the main SciPy namespace
--------------------------------------
::

 __version__       --- SciPy version string
 LowLevelCallable  --- Low-level callback function
 show_config       --- Show scipy build configuration
 test              --- Run scipy unittests

"""


# start delvewheel patch
def _delvewheel_patch_1_6_0():
    import ctypes
    import os
    import platform
    import sys
    libs_dir = os.path.abspath(os.path.join(os.path.dirname(__file__), os.pardir, 'scipy.libs'))
    is_conda_cpython = platform.python_implementation() == 'CPython' and (hasattr(ctypes.pythonapi, 'Anaconda_GetVersion') or 'packaged by conda-forge' in sys.version)
    if sys.version_info[:2] >= (3, 8) and not is_conda_cpython or sys.version_info[:2] >= (3, 10):
        if os.path.isdir(libs_dir):
            os.add_dll_directory(libs_dir)
    else:
        load_order_filepath = os.path.join(libs_dir, '.load-order-scipy-1.13.1')
        if os.path.isfile(load_order_filepath):
            with open(os.path.join(libs_dir, '.load-order-scipy-1.13.1')) as file:
                load_order = file.read().split()
            for lib in load_order:
                lib_path = os.path.join(os.path.join(libs_dir, lib))
                kernel32 = ctypes.WinDLL('kernel32', use_last_error=True)
                if os.path.isfile(lib_path) and not kernel32.LoadLibraryExW(ctypes.c_wchar_p(lib_path), None, 0x00000008):
                    raise OSError('Error loading {}; {}'.format(lib, ctypes.FormatError(ctypes.get_last_error())))


_delvewheel_patch_1_6_0()
del _delvewheel_patch_1_6_0
# end delvewheel patch

import importlib as _importlib

from numpy import __version__ as __numpy_version__


try:
    from scipy.__config__ import show as show_config
except ImportError as e:
    msg = """Error importing SciPy: you cannot import SciPy while
    being in scipy source directory; please exit the SciPy source
    tree first and relaunch your Python interpreter."""
    raise ImportError(msg) from e


from scipy.version import version as __version__


# Allow distributors to run custom init code
from . import _distributor_init
del _distributor_init


from scipy._lib import _pep440
# In maintenance branch, change to np_maxversion N+3 if numpy is at N
np_minversion = '1.22.4'
np_maxversion = '2.3.0'
if (_pep440.parse(__numpy_version__) < _pep440.Version(np_minversion) or
        _pep440.parse(__numpy_version__) >= _pep440.Version(np_maxversion)):
    import warnings
    warnings.warn(f"A NumPy version >={np_minversion} and <{np_maxversion}"
                  f" is required for this version of SciPy (detected "
                  f"version {__numpy_version__})",
                  UserWarning, stacklevel=2)
del _pep440


# This is the first import of an extension module within SciPy. If there's
# a general issue with the install, such that extension modules are missing
# or cannot be imported, this is where we'll get a failure - so give an
# informative error message.
try:
    from scipy._lib._ccallback import LowLevelCallable
except ImportError as e:
    msg = "The `scipy` install you are using seems to be broken, " + \
          "(extension modules cannot be imported), " + \
          "please try reinstalling."
    raise ImportError(msg) from e


from scipy._lib._testutils import PytestTester
test = PytestTester(__name__)
del PytestTester


submodules = [
    'cluster',
    'constants',
    'datasets',
    'fft',
    'fftpack',
    'integrate',
    'interpolate',
    'io',
    'linalg',
    'misc',
    'ndimage',
    'odr',
    'optimize',
    'signal',
    'sparse',
    'spatial',
    'special',
    'stats'
]

__all__ = submodules + [
    'LowLevelCallable',
    'test',
    'show_config',
    '__version__',
]


def __dir__():
    return __all__


def __getattr__(name):
    if name in submodules:
        return _importlib.import_module(f'scipy.{name}')
    else:
        try:
            return globals()[name]
        except KeyError:
            raise AttributeError(
                f"Module 'scipy' has no attribute '{name}'"
            )