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1# This file is generated by numpy's setup.py 

2# It contains system_info results at the time of building this package. 

3__all__ = ["get_info","show"] 

4 

5 

6import os 

7import sys 

8 

9extra_dll_dir = os.path.join(os.path.dirname(__file__), '.libs') 

10 

11if sys.platform == 'win32' and os.path.isdir(extra_dll_dir): 11 ↛ 12line 11 didn't jump to line 12, because the condition on line 11 was never true

12 os.add_dll_directory(extra_dll_dir) 

13 

14openblas64__info={'libraries': ['openblas64_', 'openblas64_'], 'library_dirs': ['/usr/local/lib'], 'language': 'c', 'define_macros': [('HAVE_CBLAS', None), ('BLAS_SYMBOL_SUFFIX', '64_'), ('HAVE_BLAS_ILP64', None)], 'runtime_library_dirs': ['/usr/local/lib']} 

15blas_ilp64_opt_info={'libraries': ['openblas64_', 'openblas64_'], 'library_dirs': ['/usr/local/lib'], 'language': 'c', 'define_macros': [('HAVE_CBLAS', None), ('BLAS_SYMBOL_SUFFIX', '64_'), ('HAVE_BLAS_ILP64', None)], 'runtime_library_dirs': ['/usr/local/lib']} 

16openblas64__lapack_info={'libraries': ['openblas64_', 'openblas64_'], 'library_dirs': ['/usr/local/lib'], 'language': 'c', 'define_macros': [('HAVE_CBLAS', None), ('BLAS_SYMBOL_SUFFIX', '64_'), ('HAVE_BLAS_ILP64', None), ('HAVE_LAPACKE', None)], 'runtime_library_dirs': ['/usr/local/lib']} 

17lapack_ilp64_opt_info={'libraries': ['openblas64_', 'openblas64_'], 'library_dirs': ['/usr/local/lib'], 'language': 'c', 'define_macros': [('HAVE_CBLAS', None), ('BLAS_SYMBOL_SUFFIX', '64_'), ('HAVE_BLAS_ILP64', None), ('HAVE_LAPACKE', None)], 'runtime_library_dirs': ['/usr/local/lib']} 

18 

19def get_info(name): 

20 g = globals() 

21 return g.get(name, g.get(name + "_info", {})) 

22 

23def show(): 

24 """ 

25 Show libraries in the system on which NumPy was built. 

26 

27 Print information about various resources (libraries, library 

28 directories, include directories, etc.) in the system on which 

29 NumPy was built. 

30 

31 See Also 

32 -------- 

33 get_include : Returns the directory containing NumPy C 

34 header files. 

35 

36 Notes 

37 ----- 

38 1. Classes specifying the information to be printed are defined 

39 in the `numpy.distutils.system_info` module. 

40 

41 Information may include: 

42 

43 * ``language``: language used to write the libraries (mostly 

44 C or f77) 

45 * ``libraries``: names of libraries found in the system 

46 * ``library_dirs``: directories containing the libraries 

47 * ``include_dirs``: directories containing library header files 

48 * ``src_dirs``: directories containing library source files 

49 * ``define_macros``: preprocessor macros used by 

50 ``distutils.setup`` 

51 * ``baseline``: minimum CPU features required 

52 * ``found``: dispatched features supported in the system 

53 * ``not found``: dispatched features that are not supported 

54 in the system 

55 

56 2. NumPy BLAS/LAPACK Installation Notes 

57 

58 Installing a numpy wheel (``pip install numpy`` or force it 

59 via ``pip install numpy --only-binary :numpy: numpy``) includes 

60 an OpenBLAS implementation of the BLAS and LAPACK linear algebra 

61 APIs. In this case, ``library_dirs`` reports the original build 

62 time configuration as compiled with gcc/gfortran; at run time 

63 the OpenBLAS library is in 

64 ``site-packages/numpy.libs/`` (linux), or 

65 ``site-packages/numpy/.dylibs/`` (macOS), or 

66 ``site-packages/numpy/.libs/`` (windows). 

67 

68 Installing numpy from source 

69 (``pip install numpy --no-binary numpy``) searches for BLAS and 

70 LAPACK dynamic link libraries at build time as influenced by 

71 environment variables NPY_BLAS_LIBS, NPY_CBLAS_LIBS, and 

72 NPY_LAPACK_LIBS; or NPY_BLAS_ORDER and NPY_LAPACK_ORDER; 

73 or the optional file ``~/.numpy-site.cfg``. 

74 NumPy remembers those locations and expects to load the same 

75 libraries at run-time. 

76 In NumPy 1.21+ on macOS, 'accelerate' (Apple's Accelerate BLAS 

77 library) is in the default build-time search order after 

78 'openblas'. 

79 

80 Examples 

81 -------- 

82 >>> import numpy as np 

83 >>> np.show_config() 

84 blas_opt_info: 

85 language = c 

86 define_macros = [('HAVE_CBLAS', None)] 

87 libraries = ['openblas', 'openblas'] 

88 library_dirs = ['/usr/local/lib'] 

89 """ 

90 from numpy.core._multiarray_umath import ( 

91 __cpu_features__, __cpu_baseline__, __cpu_dispatch__ 

92 ) 

93 for name,info_dict in globals().items(): 

94 if name[0] == "_" or type(info_dict) is not type({}): continue 

95 print(name + ":") 

96 if not info_dict: 

97 print(" NOT AVAILABLE") 

98 for k,v in info_dict.items(): 

99 v = str(v) 

100 if k == "sources" and len(v) > 200: 

101 v = v[:60] + " ...\n... " + v[-60:] 

102 print(" %s = %s" % (k,v)) 

103 

104 features_found, features_not_found = [], [] 

105 for feature in __cpu_dispatch__: 

106 if __cpu_features__[feature]: 

107 features_found.append(feature) 

108 else: 

109 features_not_found.append(feature) 

110 

111 print("Supported SIMD extensions in this NumPy install:") 

112 print(" baseline = %s" % (','.join(__cpu_baseline__))) 

113 print(" found = %s" % (','.join(features_found))) 

114 print(" not found = %s" % (','.join(features_not_found))) 

115