ok
Direktori : /opt/cloudlinux/venv/lib64/python3.11/site-packages/numpy/core/include/numpy/ |
Current File : //opt/cloudlinux/venv/lib64/python3.11/site-packages/numpy/core/include/numpy/numpyconfig.h |
#ifndef NUMPY_CORE_INCLUDE_NUMPY_NPY_NUMPYCONFIG_H_ #define NUMPY_CORE_INCLUDE_NUMPY_NPY_NUMPYCONFIG_H_ #include "_numpyconfig.h" /* * On Mac OS X, because there is only one configuration stage for all the archs * in universal builds, any macro which depends on the arch needs to be * hardcoded. * * Note that distutils/pip will attempt a universal2 build when Python itself * is built as universal2, hence this hardcoding is needed even if we do not * support universal2 wheels anymore (see gh-22796). * This code block can be removed after we have dropped the setup.py based * build completely. */ #ifdef __APPLE__ #undef NPY_SIZEOF_LONG #undef NPY_SIZEOF_PY_INTPTR_T #ifdef __LP64__ #define NPY_SIZEOF_LONG 8 #define NPY_SIZEOF_PY_INTPTR_T 8 #else #define NPY_SIZEOF_LONG 4 #define NPY_SIZEOF_PY_INTPTR_T 4 #endif #undef NPY_SIZEOF_LONGDOUBLE #undef NPY_SIZEOF_COMPLEX_LONGDOUBLE #ifdef HAVE_LDOUBLE_IEEE_DOUBLE_LE #undef HAVE_LDOUBLE_IEEE_DOUBLE_LE #endif #ifdef HAVE_LDOUBLE_INTEL_EXTENDED_16_BYTES_LE #undef HAVE_LDOUBLE_INTEL_EXTENDED_16_BYTES_LE #endif #if defined(__arm64__) #define NPY_SIZEOF_LONGDOUBLE 8 #define NPY_SIZEOF_COMPLEX_LONGDOUBLE 16 #define HAVE_LDOUBLE_IEEE_DOUBLE_LE 1 #elif defined(__x86_64) #define NPY_SIZEOF_LONGDOUBLE 16 #define NPY_SIZEOF_COMPLEX_LONGDOUBLE 32 #define HAVE_LDOUBLE_INTEL_EXTENDED_16_BYTES_LE 1 #elif defined (__i386) #define NPY_SIZEOF_LONGDOUBLE 12 #define NPY_SIZEOF_COMPLEX_LONGDOUBLE 24 #elif defined(__ppc__) || defined (__ppc64__) #define NPY_SIZEOF_LONGDOUBLE 16 #define NPY_SIZEOF_COMPLEX_LONGDOUBLE 32 #else #error "unknown architecture" #endif #endif /** * To help with both NPY_TARGET_VERSION and the NPY_NO_DEPRECATED_API macro, * we include API version numbers for specific versions of NumPy. * To exclude all API that was deprecated as of 1.7, add the following before * #including any NumPy headers: * #define NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION * The same is true for NPY_TARGET_VERSION, although NumPy will default to * a backwards compatible build anyway. */ #define NPY_1_7_API_VERSION 0x00000007 #define NPY_1_8_API_VERSION 0x00000008 #define NPY_1_9_API_VERSION 0x00000009 #define NPY_1_10_API_VERSION 0x0000000a #define NPY_1_11_API_VERSION 0x0000000a #define NPY_1_12_API_VERSION 0x0000000a #define NPY_1_13_API_VERSION 0x0000000b #define NPY_1_14_API_VERSION 0x0000000c #define NPY_1_15_API_VERSION 0x0000000c #define NPY_1_16_API_VERSION 0x0000000d #define NPY_1_17_API_VERSION 0x0000000d #define NPY_1_18_API_VERSION 0x0000000d #define NPY_1_19_API_VERSION 0x0000000d #define NPY_1_20_API_VERSION 0x0000000e #define NPY_1_21_API_VERSION 0x0000000e #define NPY_1_22_API_VERSION 0x0000000f #define NPY_1_23_API_VERSION 0x00000010 #define NPY_1_24_API_VERSION 0x00000010 #define NPY_1_25_API_VERSION 0x00000011 /* * Binary compatibility version number. This number is increased * whenever the C-API is changed such that binary compatibility is * broken, i.e. whenever a recompile of extension modules is needed. */ #define NPY_VERSION NPY_ABI_VERSION /* * Minor API version we are compiling to be compatible with. The version * Number is always increased when the API changes via: `NPY_API_VERSION` * (and should maybe just track the NumPy version). * * If we have an internal build, we always target the current version of * course. * * For downstream users, we default to an older version to provide them with * maximum compatibility by default. Downstream can choose to extend that * default, or narrow it down if they wish to use newer API. If you adjust * this, consider the Python version support (example for 1.25.x): * * NumPy 1.25.x supports Python: 3.9 3.10 3.11 (3.12) * NumPy 1.19.x supports Python: 3.6 3.7 3.8 3.9 * NumPy 1.17.x supports Python: 3.5 3.6 3.7 3.8 * NumPy 1.15.x supports Python: ... 3.6 3.7 * * Users of the stable ABI may wish to target the last Python that is not * end of life. This would be 3.8 at NumPy 1.25 release time. * 1.17 as default was the choice of oldest-support-numpy at the time and * has in practice no limit (comapared to 1.19). Even earlier becomes legacy. */ #if defined(NPY_INTERNAL_BUILD) && NPY_INTERNAL_BUILD /* NumPy internal build, always use current version. */ #define NPY_FEATURE_VERSION NPY_API_VERSION #elif defined(NPY_TARGET_VERSION) && NPY_TARGET_VERSION /* user provided a target version, use it */ #define NPY_FEATURE_VERSION NPY_TARGET_VERSION #else /* Use the default (increase when dropping Python 3.9 support) */ #define NPY_FEATURE_VERSION NPY_1_19_API_VERSION #endif /* Sanity check the (requested) feature version */ #if NPY_FEATURE_VERSION > NPY_API_VERSION #error "NPY_TARGET_VERSION higher than NumPy headers!" #elif NPY_FEATURE_VERSION < NPY_1_15_API_VERSION /* No support for irrelevant old targets, no need for error, but warn. */ #warning "Requested NumPy target lower than supported NumPy 1.15." #endif #endif /* NUMPY_CORE_INCLUDE_NUMPY_NPY_NUMPYCONFIG_H_ */