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python38-scipy rpm build for : CentOS Other. For other distributions click python38-scipy.

Name : python38-scipy
Version : 1.3.1 Vendor : CentOS
Release : 4.module_el8.5.0+742+dbad1979 Date : 2021-03-31 19:34:41
Group : Unspecified Source RPM : scipy-1.3.1-4.module_el8.5.0+742+dbad1979.src.rpm
Size : 54.78 MB
Packager : CentOS Buildsys < bugs_centos_org>
Summary : Scientific tools for Python
Description :
SciPy is open-source software for mathematics, science, and
engineering. The core library is NumPy which provides convenient and
fast N-dimensional array manipulation. The SciPy library is built to
work with NumPy arrays, and provides many user-friendly and efficient
numerical routines such as routines for numerical integration and
optimization. Together, they run on all popular operating systems, are
quick to install, and are free of charge. NumPy and SciPy are easy to
use, but powerful enough to be depended upon by some of the world\'s
leading scientists and engineers.

RPM found in directory: /vol/rzm2/linux-centos/8-stream/AppStream/x86_64/os/Packages

Content of RPM  Changelog  Provides Requires

Hmm ... It's impossible ;-) This RPM doesn't exist on any FTP server

Provides :
python3.8dist(scipy)
python38-scipy
python38-scipy(x86-64)

Requires :
/usr/bin/python3.8
ld-linux-x86-64.so.2()(64bit)
ld-linux-x86-64.so.2(GLIBC_2.3)(64bit)
libc.so.6()(64bit)
libc.so.6(GLIBC_2.11)(64bit)
libc.so.6(GLIBC_2.14)(64bit)
libc.so.6(GLIBC_2.2.5)(64bit)
libc.so.6(GLIBC_2.3)(64bit)
libc.so.6(GLIBC_2.3.4)(64bit)
libc.so.6(GLIBC_2.4)(64bit)
libgcc_s.so.1()(64bit)
libgcc_s.so.1(GCC_3.0)(64bit)
libgcc_s.so.1(GCC_4.0.0)(64bit)
libgfortran.so.5()(64bit)
libgfortran.so.5(GFORTRAN_8)(64bit)
libm.so.6()(64bit)
libm.so.6(GLIBC_2.2.5)(64bit)
libm.so.6(GLIBC_2.27)(64bit)
libopenblasp.so.0()(64bit)
libpthread.so.0()(64bit)
libquadmath.so.0()(64bit)
libstdc++.so.6()(64bit)
libstdc++.so.6(CXXABI_1.3)(64bit)
libstdc++.so.6(CXXABI_1.3.9)(64bit)
libstdc++.so.6(GLIBCXX_3.4)(64bit)
libstdc++.so.6(GLIBCXX_3.4.21)(64bit)
python(abi) = 3.8
python38-numpy
python38-numpy-f2py
rpmlib(CompressedFileNames) <= 3.0.4-1
rpmlib(FileDigests) <= 4.6.0-1
rpmlib(PartialHardlinkSets) <= 4.0.4-1
rpmlib(PayloadFilesHavePrefix) <= 4.0-1
rpmlib(PayloadIsXz) <= 5.2-1
rtld(GNU_HASH)


Content of RPM :
/usr/lib/.build-id
/usr/lib/.build-id/00
/usr/lib/.build-id/00/455718829223b34d913d569129eb35965b7b79
/usr/lib/.build-id/00/70b385feafb4394d6752b8c94052fdb9d576a1
/usr/lib/.build-id/03
/usr/lib/.build-id/03/22834acc726352254531e8dc20ad3eccea1467
/usr/lib/.build-id/08
/usr/lib/.build-id/08/18544e92f51d8ac177b194f1787a60257b1985
/usr/lib/.build-id/08/45bddad5fe5b70fa4714e16b177afb7922cbb9
/usr/lib/.build-id/0b
/usr/lib/.build-id/0b/891400cbf6d2d9dbe754d223bccc0a3d6aee8e
/usr/lib/.build-id/0d
/usr/lib/.build-id/0d/49c05670d5deeea010d8395e5cfa95274267ee
/usr/lib/.build-id/0d/9df9d41938aba1b3d280b06f9d887e551c8642
/usr/lib/.build-id/10
/usr/lib/.build-id/10/b86d6990ffad8daba15440bde71a52199f7297
/usr/lib/.build-id/14
/usr/lib/.build-id/14/6195c8009bebd45a7ae7aed00349f38585d4f2
/usr/lib/.build-id/17
/usr/lib/.build-id/17/f378a5029e108717e87793ff79a1a2936c67ce
/usr/lib/.build-id/1b
/usr/lib/.build-id/1b/a02b5f1a42fc03bd3c9a9d987b29db31349f53
/usr/lib/.build-id/1d
/usr/lib/.build-id/1d/5404bdf0c7c251a7311312a41856558b8d15f4
/usr/lib/.build-id/22
/usr/lib/.build-id/22/17548dff38d703ce2eb4771c30f1e1938ef4ec
/usr/lib/.build-id/25
/usr/lib/.build-id/25/87434bcc06f2e0bc4349611394288fb9881c7d
/usr/lib/.build-id/28
/usr/lib/.build-id/28/5302137194fa055efc7e24e4723d775f509755
There is 2399 files more in these RPM.

 
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