projects / packages / python-tables.git / blame
| Commit | Line | Data |
|---|---|---|
| 5ffd2a0a | 1 | |
| 2 | %define module tables | |
| 3 | ||
| 4a9aa70a | 4 | Summary: Dealing with large datasets in Python |
| caf38183 | 5 | Summary(pl.UTF-8): Obsługa dużych zbiorów danych w Pythonie |
| 5ffd2a0a | 6 | Name: python-%{module} |
| ac094ed2 | 7 | Version: 1.2.1 |
| 8 | Release: 1 | |
| 5ffd2a0a | 9 | License: GNU |
| 10 | Group: Development/Languages/Python | |
| 11 | Source0: http://dl.sourceforge.net/pytables/pytables-%{version}.tar.gz | |
| ac094ed2 | 12 | # Source0-md5: 0fb331822f27e3cb03d04bd4247e8032 |
| 5ffd2a0a | 13 | URL: http://pytables.sourceforge.net/ |
| 14 | BuildRequires: hdf5-devel | |
| 7ec75c1b | 15 | BuildRequires: lzo-devel |
| 5ffd2a0a | 16 | BuildRequires: python |
| 17 | BuildRequires: python-devel >= 1:2.3 | |
| 7ec75c1b | 18 | BuildRequires: python-numarray |
| 5ffd2a0a | 19 | BuildRequires: python-numarray-devel |
| 5c2232bd | 20 | BuildRequires: ucl-devel |
| 5ffd2a0a | 21 | %pyrequires_eq python-modules |
| 22 | BuildRoot: %{tmpdir}/%{name}-%{version}-root-%(id -u -n) | |
| 23 | ||
| 24 | %description | |
| 25 | PyTables is a hierarchical database package designed to efficiently | |
| 26 | manage very large amounts of data. | |
| 27 | ||
| 28 | PyTables is built on top of the HDF5 library and the numarray package. | |
| 29 | It features an object-oriented interface that, combined with C | |
| 30 | extensions for the peformance-critical parts of the code (generated | |
| 31 | using Pyrex), makes it a fast, yet extremely easy to use tool for | |
| 32 | interactively save and retrieve very large amounts of data. One | |
| 33 | important feature of PyTables is that it optimizes memory and disk | |
| 34 | resources so that data take much less space (between a factor 3 to 5, | |
| 35 | and more if the data is compressible) than other solutions, like for | |
| 36 | example, relational or object oriented databases. | |
| 37 | ||
| 38 | Besides, it provides a flexible, direct access on disk to anywhere in | |
| 39 | the data you want to go, using a combination of natural naming and | |
| 40 | extended slicing features. | |
| 41 | ||
| 83c89c81 JR |
42 | %description -l pl.UTF-8 |
| 43 | PyTables jest hierarchiczną bazą danych zaprojektowaną aby wydajnie | |
| 44 | zarządzać bardzo dużymi ilościami danych. | |
| 5ffd2a0a | 45 | |
| 83c89c81 JR |
46 | PyTables jest zbudowany w oparciu o bibliotekę HDF5 i pakiet numarray. |
| 47 | Zapewnia zorientowany obiektowo interfejs, dzięki któremu, w | |
| 48 | połączeniu z przepisanymi do C krytycznymi częściami kodu, pozwala na | |
| 49 | bardzo szybkie i łatwe używanie tego narzędzia do interaktywnego | |
| 50 | zapisu lub odczytu dużych ilości danych. Jedną z ważniejszych zalet | |
| 51 | PyTables jest optymalizacja zużycia pamięci i przestrzeni dyskowej. | |
| 5ffd2a0a | 52 | |
| 53 | %prep | |
| 54 | %setup -q -n pytables-%{version} | |
| 55 | ||
| 56 | %build | |
| 57 | CFLAGS="%{rpmcflags}" | |
| 58 | export CFLAGS | |
| 59 | python setup.py build_ext --inplace | |
| 60 | ||
| 61 | %install | |
| 62 | rm -rf $RPM_BUILD_ROOT | |
| 63 | ||
| 64 | install -d $RPM_BUILD_ROOT%{_examplesdir}/%{name}-%{version} | |
| 65 | ||
| c1da3076 | 66 | %py_install |
| 5ffd2a0a | 67 | |
| 68 | mv examples/* $RPM_BUILD_ROOT%{_examplesdir}/%{name}-%{version} | |
| 69 | ||
| 70 | find $RPM_BUILD_ROOT%{py_sitedir} -name '*.py' | xargs rm | |
| 71 | ||
| 72 | %clean | |
| 73 | rm -rf $RPM_BUILD_ROOT | |
| 74 | ||
| 75 | %files | |
| 76 | %defattr(644,root,root,755) | |
| 77 | %doc README.txt LICENSE | |
| 78 | %attr(755,root,root) %{_bindir}/* | |
| 79 | %dir %{py_sitedir}/%{module} | |
| 80 | %{py_sitedir}/%{module}/* | |
| 81 | %dir %{_examplesdir}/%{name}-%{version} | |
| 82 | %{_examplesdir}/%{name}-%{version}/* |