diff --git a/math/py-numpy/Makefile b/math/py-numpy/Makefile index 118f280a1ac..f606bba6cd5 100644 --- a/math/py-numpy/Makefile +++ b/math/py-numpy/Makefile @@ -1,11 +1,10 @@ -# $OpenBSD: Makefile,v 1.44 2015/09/29 10:52:13 sthen Exp $ +# $OpenBSD: Makefile,v 1.45 2016/03/18 13:26:10 daniel Exp $ BROKEN-alpha = numpy/linalg/umath_linalg.c.src:3231: internal compiler error: in extract_insn, at recog.c:2077 COMMENT= fast array and numeric programming library for Python -MODPY_EGG_VERSION= 1.8.2 -REVISION= 2 +MODPY_EGG_VERSION= 1.9.2 DISTNAME= numpy-${MODPY_EGG_VERSION} PKGNAME= py-${DISTNAME} diff --git a/math/py-numpy/distinfo b/math/py-numpy/distinfo index 4a9c577260b..d0a0a5e77f0 100644 --- a/math/py-numpy/distinfo +++ b/math/py-numpy/distinfo @@ -1,2 +1,2 @@ -SHA256 (numpy-1.8.2.tar.gz) = zldDo6JL8T4Dc/rrJAsI5I0TnmMT8bX7/XcQV8eknb0= -SIZE (numpy-1.8.2.tar.gz) = 3796725 +SHA256 (numpy-1.9.2.tar.gz) = Ml5fKwtDTstuaILH4QNMxs3ePu7qh9vEgldRmaau7yo= +SIZE (numpy-1.9.2.tar.gz) = 3986067 diff --git a/math/py-numpy/patches/patch-numpy_core_include_numpy_npy_common_h b/math/py-numpy/patches/patch-numpy_core_include_numpy_npy_common_h index 00e35820790..cccb09ece1d 100644 --- a/math/py-numpy/patches/patch-numpy_core_include_numpy_npy_common_h +++ b/math/py-numpy/patches/patch-numpy_core_include_numpy_npy_common_h @@ -1,4 +1,4 @@ -$OpenBSD: patch-numpy_core_include_numpy_npy_common_h,v 1.4 2015/01/15 02:55:22 daniel Exp $ +$OpenBSD: patch-numpy_core_include_numpy_npy_common_h,v 1.5 2016/03/18 13:26:10 daniel Exp $ (1) optimize function attributes were added in gcc 4.4. Apply a fix for the warnings. But the next release of numpy should fix this in a better way. See: @@ -7,16 +7,13 @@ https://github.com/numpy/numpy/issues/5451 Gets rid of these warnings from the build: numpy/core/src/multiarray/lowlevel_strided_loops.c.src:120: warning: 'optimize' attribute directive ignored -(2) Backport fix for #5027: incorrect numpy.datetime64 on macppc. See: -https://github.com/numpy/numpy/issues/5027 - -(3) py-numpy only checks for expl to determine whether extended-precision +(2) py-numpy only checks for expl to determine whether extended-precision support is present. since we don't have it yet; it implements it's own. however, on alpha, powerpc, it declared functions with types that conflict with C99 (double for *l), therefore failed. ---- numpy/core/include/numpy/npy_common.h.orig Tue Aug 5 14:04:19 2014 -+++ numpy/core/include/numpy/npy_common.h Wed Jan 14 00:33:33 2015 +--- numpy/core/include/numpy/npy_common.h.orig Sun Nov 16 17:31:16 2014 ++++ numpy/core/include/numpy/npy_common.h Sun Mar 6 15:22:08 2016 @@ -7,6 +7,7 @@ #include #endif @@ -25,7 +22,7 @@ types that conflict with C99 (double for *l), therefore failed. /* * gcc does not unroll even with -O3 * use with care, unrolling on modern cpus rarely speeds things up -@@ -17,6 +18,9 @@ +@@ -17,13 +18,20 @@ #else #define NPY_GCC_UNROLL_LOOPS #endif @@ -33,29 +30,20 @@ types that conflict with C99 (double for *l), therefore failed. +#define NPY_GCC_UNROLL_LOOPS +#endif - #if defined HAVE_XMMINTRIN_H && defined HAVE__MM_LOAD_PS - #define NPY_HAVE_SSE_INTRINSICS -@@ -223,18 +227,9 @@ typedef unsigned PY_LONG_LONG npy_ulonglong; - # ifdef _MSC_VER - # define NPY_LONGLONG_FMT "I64d" - # define NPY_ULONGLONG_FMT "I64u" --# elif defined(__APPLE__) || defined(__FreeBSD__) --/* "%Ld" only parses 4 bytes -- "L" is floating modifier on MacOS X/BSD */ -+# else - # define NPY_LONGLONG_FMT "lld" - # define NPY_ULONGLONG_FMT "llu" --/* -- another possible variant -- *quad_t works on *BSD, but is deprecated: -- #define LONGLONG_FMT "qd" -- #define ULONGLONG_FMT "qu" --*/ --# else --# define NPY_LONGLONG_FMT "Ld" --# define NPY_ULONGLONG_FMT "Lu" - # endif - # ifdef _MSC_VER - # define NPY_LONGLONG_SUFFIX(x) (x##i64) -@@ -255,14 +250,8 @@ typedef unsigned char npy_bool; ++#if defined(__GNUC__) && (__GNUC__ > 4 || (__GNUC__ == 4 && (__GNUC_MINOR__ > 4))) + /* highest gcc optimization level, enabled autovectorizer */ + #ifdef HAVE_ATTRIBUTE_OPTIMIZE_OPT_3 + #define NPY_GCC_OPT_3 __attribute__((optimize("O3"))) + #else + #define NPY_GCC_OPT_3 + #endif ++#else ++#define NPY_GCC_OPT_3 ++#endif + + /* + * mark an argument (starting from 1) that must not be NULL and is not checked +@@ -288,14 +296,8 @@ typedef unsigned char npy_bool; #define NPY_FALSE 0 #define NPY_TRUE 1 diff --git a/math/py-numpy/patches/patch-numpy_core_tests_test_umath_py b/math/py-numpy/patches/patch-numpy_core_tests_test_umath_py index ac9810e5807..e69de29bb2d 100644 --- a/math/py-numpy/patches/patch-numpy_core_tests_test_umath_py +++ b/math/py-numpy/patches/patch-numpy_core_tests_test_umath_py @@ -1,24 +0,0 @@ -$OpenBSD: patch-numpy_core_tests_test_umath_py,v 1.1 2014/09/17 00:46:13 daniel Exp $ - -Silence a RuntimeWarning on np.log1p(np.nan) - -See: -https://github.com/numpy/numpy/issues/5017 - ---- numpy/core/tests/test_umath.py.orig Sun Sep 14 21:45:56 2014 -+++ numpy/core/tests/test_umath.py Sun Sep 14 21:47:56 2014 -@@ -309,11 +309,10 @@ class TestLog1p(TestCase): - assert_almost_equal(ncu.log1p(1e-6), ncu.log(1+1e-6)) - - def test_special(self): -- assert_equal(ncu.log1p(np.nan), np.nan) -- assert_equal(ncu.log1p(np.inf), np.inf) -- with np.errstate(divide="ignore"): -+ with np.errstate(invalid="ignore", divide="ignore"): -+ assert_equal(ncu.log1p(np.nan), np.nan) -+ assert_equal(ncu.log1p(np.inf), np.inf) - assert_equal(ncu.log1p(-1.), -np.inf) -- with np.errstate(invalid="ignore"): - assert_equal(ncu.log1p(-2.), np.nan) - assert_equal(ncu.log1p(-np.inf), np.nan) - diff --git a/math/py-numpy/pkg/PLIST b/math/py-numpy/pkg/PLIST index a6b2af3ecca..2a40b867e78 100644 --- a/math/py-numpy/pkg/PLIST +++ b/math/py-numpy/pkg/PLIST @@ -1,4 +1,4 @@ -@comment $OpenBSD: PLIST,v 1.10 2014/09/17 00:46:13 daniel Exp $ +@comment $OpenBSD: PLIST,v 1.11 2016/03/18 13:26:10 daniel Exp $ bin/f2py${MODPY_VERSION} lib/python${MODPY_VERSION}/site-packages/numpy/ lib/python${MODPY_VERSION}/site-packages/numpy-${MODPY_EGG_VERSION}-py${MODPY_VERSION}.egg-info/ @@ -37,6 +37,7 @@ lib/python${MODPY_VERSION}/site-packages/numpy/core/${MODPY_PYCACHE}__init__.${M lib/python${MODPY_VERSION}/site-packages/numpy/core/${MODPY_PYCACHE}_internal.${MODPY_PYC_MAGIC_TAG}pyc lib/python${MODPY_VERSION}/site-packages/numpy/core/${MODPY_PYCACHE}_methods.${MODPY_PYC_MAGIC_TAG}pyc lib/python${MODPY_VERSION}/site-packages/numpy/core/${MODPY_PYCACHE}arrayprint.${MODPY_PYC_MAGIC_TAG}pyc +lib/python${MODPY_VERSION}/site-packages/numpy/core/${MODPY_PYCACHE}cversions.${MODPY_PYC_MAGIC_TAG}pyc lib/python${MODPY_VERSION}/site-packages/numpy/core/${MODPY_PYCACHE}defchararray.${MODPY_PYC_MAGIC_TAG}pyc lib/python${MODPY_VERSION}/site-packages/numpy/core/${MODPY_PYCACHE}fromnumeric.${MODPY_PYC_MAGIC_TAG}pyc lib/python${MODPY_VERSION}/site-packages/numpy/core/${MODPY_PYCACHE}function_base.${MODPY_PYC_MAGIC_TAG}pyc @@ -55,6 +56,7 @@ lib/python${MODPY_VERSION}/site-packages/numpy/core/_dummy.so lib/python${MODPY_VERSION}/site-packages/numpy/core/_internal.py lib/python${MODPY_VERSION}/site-packages/numpy/core/_methods.py lib/python${MODPY_VERSION}/site-packages/numpy/core/arrayprint.py +lib/python${MODPY_VERSION}/site-packages/numpy/core/cversions.py lib/python${MODPY_VERSION}/site-packages/numpy/core/defchararray.py lib/python${MODPY_VERSION}/site-packages/numpy/core/fromnumeric.py lib/python${MODPY_VERSION}/site-packages/numpy/core/function_base.py @@ -112,6 +114,7 @@ lib/python${MODPY_VERSION}/site-packages/numpy/core/tests/ lib/python${MODPY_VERSION}/site-packages/numpy/core/tests/data/ lib/python${MODPY_VERSION}/site-packages/numpy/core/tests/data/astype_copy.pkl lib/python${MODPY_VERSION}/site-packages/numpy/core/tests/data/recarray_from_file.fits +lib/python${MODPY_VERSION}/site-packages/numpy/core/tests/test_abc.py lib/python${MODPY_VERSION}/site-packages/numpy/core/tests/test_api.py lib/python${MODPY_VERSION}/site-packages/numpy/core/tests/test_arrayprint.py lib/python${MODPY_VERSION}/site-packages/numpy/core/tests/test_blasdot.py @@ -137,12 +140,12 @@ lib/python${MODPY_VERSION}/site-packages/numpy/core/tests/test_numerictypes.py lib/python${MODPY_VERSION}/site-packages/numpy/core/tests/test_print.py lib/python${MODPY_VERSION}/site-packages/numpy/core/tests/test_records.py lib/python${MODPY_VERSION}/site-packages/numpy/core/tests/test_regression.py +lib/python${MODPY_VERSION}/site-packages/numpy/core/tests/test_scalarinherit.py lib/python${MODPY_VERSION}/site-packages/numpy/core/tests/test_scalarmath.py lib/python${MODPY_VERSION}/site-packages/numpy/core/tests/test_scalarprint.py lib/python${MODPY_VERSION}/site-packages/numpy/core/tests/test_shape_base.py lib/python${MODPY_VERSION}/site-packages/numpy/core/tests/test_ufunc.py lib/python${MODPY_VERSION}/site-packages/numpy/core/tests/test_umath.py -lib/python${MODPY_VERSION}/site-packages/numpy/core/tests/test_umath.py.orig lib/python${MODPY_VERSION}/site-packages/numpy/core/tests/test_umath_complex.py lib/python${MODPY_VERSION}/site-packages/numpy/core/tests/test_unicode.py lib/python${MODPY_VERSION}/site-packages/numpy/core/umath.so @@ -389,57 +392,6 @@ lib/python${MODPY_VERSION}/site-packages/numpy/f2py/cfuncs.py lib/python${MODPY_VERSION}/site-packages/numpy/f2py/common_rules.py lib/python${MODPY_VERSION}/site-packages/numpy/f2py/crackfortran.py lib/python${MODPY_VERSION}/site-packages/numpy/f2py/diagnose.py -lib/python${MODPY_VERSION}/site-packages/numpy/f2py/docs/ -lib/python${MODPY_VERSION}/site-packages/numpy/f2py/docs/FAQ.txt -lib/python${MODPY_VERSION}/site-packages/numpy/f2py/docs/HISTORY.txt -lib/python${MODPY_VERSION}/site-packages/numpy/f2py/docs/OLDNEWS.txt -lib/python${MODPY_VERSION}/site-packages/numpy/f2py/docs/README.txt -lib/python${MODPY_VERSION}/site-packages/numpy/f2py/docs/TESTING.txt -lib/python${MODPY_VERSION}/site-packages/numpy/f2py/docs/THANKS.txt -lib/python${MODPY_VERSION}/site-packages/numpy/f2py/docs/default.css -lib/python${MODPY_VERSION}/site-packages/numpy/f2py/docs/docutils.conf -lib/python${MODPY_VERSION}/site-packages/numpy/f2py/docs/hello.f -lib/python${MODPY_VERSION}/site-packages/numpy/f2py/docs/pyforttest.pyf -lib/python${MODPY_VERSION}/site-packages/numpy/f2py/docs/pytest.py -lib/python${MODPY_VERSION}/site-packages/numpy/f2py/docs/simple.f -lib/python${MODPY_VERSION}/site-packages/numpy/f2py/docs/simple_session.dat -lib/python${MODPY_VERSION}/site-packages/numpy/f2py/docs/usersguide/ -lib/python${MODPY_VERSION}/site-packages/numpy/f2py/docs/usersguide/allocarr.f90 -lib/python${MODPY_VERSION}/site-packages/numpy/f2py/docs/usersguide/allocarr_session.dat -lib/python${MODPY_VERSION}/site-packages/numpy/f2py/docs/usersguide/array.f -lib/python${MODPY_VERSION}/site-packages/numpy/f2py/docs/usersguide/array_session.dat -lib/python${MODPY_VERSION}/site-packages/numpy/f2py/docs/usersguide/calculate.f -lib/python${MODPY_VERSION}/site-packages/numpy/f2py/docs/usersguide/calculate_session.dat -lib/python${MODPY_VERSION}/site-packages/numpy/f2py/docs/usersguide/callback.f -lib/python${MODPY_VERSION}/site-packages/numpy/f2py/docs/usersguide/callback2.pyf -lib/python${MODPY_VERSION}/site-packages/numpy/f2py/docs/usersguide/callback_session.dat -lib/python${MODPY_VERSION}/site-packages/numpy/f2py/docs/usersguide/common.f -lib/python${MODPY_VERSION}/site-packages/numpy/f2py/docs/usersguide/common_session.dat -lib/python${MODPY_VERSION}/site-packages/numpy/f2py/docs/usersguide/compile_session.dat -lib/python${MODPY_VERSION}/site-packages/numpy/f2py/docs/usersguide/default.css -lib/python${MODPY_VERSION}/site-packages/numpy/f2py/docs/usersguide/docutils.conf -lib/python${MODPY_VERSION}/site-packages/numpy/f2py/docs/usersguide/extcallback.f -lib/python${MODPY_VERSION}/site-packages/numpy/f2py/docs/usersguide/extcallback_session.dat -lib/python${MODPY_VERSION}/site-packages/numpy/f2py/docs/usersguide/fib1.f -lib/python${MODPY_VERSION}/site-packages/numpy/f2py/docs/usersguide/fib1.pyf -lib/python${MODPY_VERSION}/site-packages/numpy/f2py/docs/usersguide/fib2.pyf -lib/python${MODPY_VERSION}/site-packages/numpy/f2py/docs/usersguide/fib3.f -lib/python${MODPY_VERSION}/site-packages/numpy/f2py/docs/usersguide/ftype.f -lib/python${MODPY_VERSION}/site-packages/numpy/f2py/docs/usersguide/ftype_session.dat -lib/python${MODPY_VERSION}/site-packages/numpy/f2py/docs/usersguide/index.txt -lib/python${MODPY_VERSION}/site-packages/numpy/f2py/docs/usersguide/moddata.f90 -lib/python${MODPY_VERSION}/site-packages/numpy/f2py/docs/usersguide/moddata_session.dat -lib/python${MODPY_VERSION}/site-packages/numpy/f2py/docs/usersguide/run_main_session.dat -lib/python${MODPY_VERSION}/site-packages/numpy/f2py/docs/usersguide/scalar.f -lib/python${MODPY_VERSION}/site-packages/numpy/f2py/docs/usersguide/scalar_session.dat -lib/python${MODPY_VERSION}/site-packages/numpy/f2py/docs/usersguide/setup_example.py -lib/python${MODPY_VERSION}/site-packages/numpy/f2py/docs/usersguide/spam.pyf -lib/python${MODPY_VERSION}/site-packages/numpy/f2py/docs/usersguide/spam_session.dat -lib/python${MODPY_VERSION}/site-packages/numpy/f2py/docs/usersguide/string.f -lib/python${MODPY_VERSION}/site-packages/numpy/f2py/docs/usersguide/string_session.dat -lib/python${MODPY_VERSION}/site-packages/numpy/f2py/docs/usersguide/var.pyf -lib/python${MODPY_VERSION}/site-packages/numpy/f2py/docs/usersguide/var_session.dat -lib/python${MODPY_VERSION}/site-packages/numpy/f2py/f2py.1 lib/python${MODPY_VERSION}/site-packages/numpy/f2py/f2py2e.py lib/python${MODPY_VERSION}/site-packages/numpy/f2py/f2py_testing.py lib/python${MODPY_VERSION}/site-packages/numpy/f2py/f90mod_rules.py @@ -466,6 +418,8 @@ lib/python${MODPY_VERSION}/site-packages/numpy/f2py/tests/src/mixed/ lib/python${MODPY_VERSION}/site-packages/numpy/f2py/tests/src/mixed/foo.f lib/python${MODPY_VERSION}/site-packages/numpy/f2py/tests/src/mixed/foo_fixed.f90 lib/python${MODPY_VERSION}/site-packages/numpy/f2py/tests/src/mixed/foo_free.f90 +lib/python${MODPY_VERSION}/site-packages/numpy/f2py/tests/src/regression/ +lib/python${MODPY_VERSION}/site-packages/numpy/f2py/tests/src/regression/inout.f90 lib/python${MODPY_VERSION}/site-packages/numpy/f2py/tests/src/size/ lib/python${MODPY_VERSION}/site-packages/numpy/f2py/tests/src/size/foo.f90 lib/python${MODPY_VERSION}/site-packages/numpy/f2py/tests/test_array_from_pyobj.py @@ -473,6 +427,7 @@ lib/python${MODPY_VERSION}/site-packages/numpy/f2py/tests/test_assumed_shape.py lib/python${MODPY_VERSION}/site-packages/numpy/f2py/tests/test_callback.py lib/python${MODPY_VERSION}/site-packages/numpy/f2py/tests/test_kind.py lib/python${MODPY_VERSION}/site-packages/numpy/f2py/tests/test_mixed.py +lib/python${MODPY_VERSION}/site-packages/numpy/f2py/tests/test_regression.py lib/python${MODPY_VERSION}/site-packages/numpy/f2py/tests/test_return_character.py lib/python${MODPY_VERSION}/site-packages/numpy/f2py/tests/test_return_complex.py lib/python${MODPY_VERSION}/site-packages/numpy/f2py/tests/test_return_integer.py @@ -503,6 +458,7 @@ ${MODPY_COMMENT}lib/python${MODPY_VERSION}/site-packages/numpy/lib/${MODPY_PYCAC lib/python${MODPY_VERSION}/site-packages/numpy/lib/${MODPY_PYCACHE}__init__.${MODPY_PYC_MAGIC_TAG}pyc lib/python${MODPY_VERSION}/site-packages/numpy/lib/${MODPY_PYCACHE}_datasource.${MODPY_PYC_MAGIC_TAG}pyc lib/python${MODPY_VERSION}/site-packages/numpy/lib/${MODPY_PYCACHE}_iotools.${MODPY_PYC_MAGIC_TAG}pyc +lib/python${MODPY_VERSION}/site-packages/numpy/lib/${MODPY_PYCACHE}_version.${MODPY_PYC_MAGIC_TAG}pyc lib/python${MODPY_VERSION}/site-packages/numpy/lib/${MODPY_PYCACHE}arraypad.${MODPY_PYC_MAGIC_TAG}pyc lib/python${MODPY_VERSION}/site-packages/numpy/lib/${MODPY_PYCACHE}arraysetops.${MODPY_PYC_MAGIC_TAG}pyc lib/python${MODPY_VERSION}/site-packages/numpy/lib/${MODPY_PYCACHE}arrayterator.${MODPY_PYC_MAGIC_TAG}pyc @@ -527,6 +483,7 @@ lib/python${MODPY_VERSION}/site-packages/numpy/lib/${MODPY_PYCACHE}utils.${MODPY lib/python${MODPY_VERSION}/site-packages/numpy/lib/_compiled_base.so lib/python${MODPY_VERSION}/site-packages/numpy/lib/_datasource.py lib/python${MODPY_VERSION}/site-packages/numpy/lib/_iotools.py +lib/python${MODPY_VERSION}/site-packages/numpy/lib/_version.py lib/python${MODPY_VERSION}/site-packages/numpy/lib/arraypad.py lib/python${MODPY_VERSION}/site-packages/numpy/lib/arraysetops.py lib/python${MODPY_VERSION}/site-packages/numpy/lib/arrayterator.py @@ -544,8 +501,12 @@ lib/python${MODPY_VERSION}/site-packages/numpy/lib/setup.py lib/python${MODPY_VERSION}/site-packages/numpy/lib/shape_base.py lib/python${MODPY_VERSION}/site-packages/numpy/lib/stride_tricks.py lib/python${MODPY_VERSION}/site-packages/numpy/lib/tests/ +lib/python${MODPY_VERSION}/site-packages/numpy/lib/tests/data/ +lib/python${MODPY_VERSION}/site-packages/numpy/lib/tests/data/python3.npy +lib/python${MODPY_VERSION}/site-packages/numpy/lib/tests/data/win64python2.npy lib/python${MODPY_VERSION}/site-packages/numpy/lib/tests/test__datasource.py lib/python${MODPY_VERSION}/site-packages/numpy/lib/tests/test__iotools.py +lib/python${MODPY_VERSION}/site-packages/numpy/lib/tests/test__version.py lib/python${MODPY_VERSION}/site-packages/numpy/lib/tests/test_arraypad.py lib/python${MODPY_VERSION}/site-packages/numpy/lib/tests/test_arraysetops.py lib/python${MODPY_VERSION}/site-packages/numpy/lib/tests/test_arrayterator.py @@ -627,108 +588,11 @@ lib/python${MODPY_VERSION}/site-packages/numpy/matrixlib/tests/test_defmatrix.py lib/python${MODPY_VERSION}/site-packages/numpy/matrixlib/tests/test_multiarray.py lib/python${MODPY_VERSION}/site-packages/numpy/matrixlib/tests/test_numeric.py lib/python${MODPY_VERSION}/site-packages/numpy/matrixlib/tests/test_regression.py -lib/python${MODPY_VERSION}/site-packages/numpy/numarray/ -lib/python${MODPY_VERSION}/site-packages/numpy/numarray/__init__.py -${MODPY_COMMENT}lib/python${MODPY_VERSION}/site-packages/numpy/numarray/${MODPY_PYCACHE}/ -lib/python${MODPY_VERSION}/site-packages/numpy/numarray/${MODPY_PYCACHE}__init__.${MODPY_PYC_MAGIC_TAG}pyc -lib/python${MODPY_VERSION}/site-packages/numpy/numarray/${MODPY_PYCACHE}alter_code1.${MODPY_PYC_MAGIC_TAG}pyc -lib/python${MODPY_VERSION}/site-packages/numpy/numarray/${MODPY_PYCACHE}alter_code2.${MODPY_PYC_MAGIC_TAG}pyc -lib/python${MODPY_VERSION}/site-packages/numpy/numarray/${MODPY_PYCACHE}compat.${MODPY_PYC_MAGIC_TAG}pyc -lib/python${MODPY_VERSION}/site-packages/numpy/numarray/${MODPY_PYCACHE}convolve.${MODPY_PYC_MAGIC_TAG}pyc -lib/python${MODPY_VERSION}/site-packages/numpy/numarray/${MODPY_PYCACHE}fft.${MODPY_PYC_MAGIC_TAG}pyc -lib/python${MODPY_VERSION}/site-packages/numpy/numarray/${MODPY_PYCACHE}functions.${MODPY_PYC_MAGIC_TAG}pyc -lib/python${MODPY_VERSION}/site-packages/numpy/numarray/${MODPY_PYCACHE}image.${MODPY_PYC_MAGIC_TAG}pyc -lib/python${MODPY_VERSION}/site-packages/numpy/numarray/${MODPY_PYCACHE}linear_algebra.${MODPY_PYC_MAGIC_TAG}pyc -lib/python${MODPY_VERSION}/site-packages/numpy/numarray/${MODPY_PYCACHE}ma.${MODPY_PYC_MAGIC_TAG}pyc -lib/python${MODPY_VERSION}/site-packages/numpy/numarray/${MODPY_PYCACHE}matrix.${MODPY_PYC_MAGIC_TAG}pyc -lib/python${MODPY_VERSION}/site-packages/numpy/numarray/${MODPY_PYCACHE}mlab.${MODPY_PYC_MAGIC_TAG}pyc -lib/python${MODPY_VERSION}/site-packages/numpy/numarray/${MODPY_PYCACHE}nd_image.${MODPY_PYC_MAGIC_TAG}pyc 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lib/python${MODPY_VERSION}/site-packages/numpy/polynomial/${MODPY_PYCACHE}hermite_e.${MODPY_PYC_MAGIC_TAG}pyc @@ -738,6 +602,7 @@ lib/python${MODPY_VERSION}/site-packages/numpy/polynomial/${MODPY_PYCACHE}polyno lib/python${MODPY_VERSION}/site-packages/numpy/polynomial/${MODPY_PYCACHE}polytemplate.${MODPY_PYC_MAGIC_TAG}pyc lib/python${MODPY_VERSION}/site-packages/numpy/polynomial/${MODPY_PYCACHE}polyutils.${MODPY_PYC_MAGIC_TAG}pyc lib/python${MODPY_VERSION}/site-packages/numpy/polynomial/${MODPY_PYCACHE}setup.${MODPY_PYC_MAGIC_TAG}pyc +lib/python${MODPY_VERSION}/site-packages/numpy/polynomial/_polybase.py lib/python${MODPY_VERSION}/site-packages/numpy/polynomial/chebyshev.py lib/python${MODPY_VERSION}/site-packages/numpy/polynomial/hermite.py lib/python${MODPY_VERSION}/site-packages/numpy/polynomial/hermite_e.py @@ -778,14 +643,12 @@ lib/python${MODPY_VERSION}/site-packages/numpy/testing/${MODPY_PYCACHE}__init__. 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