Key | Value |
---|---|
FileName | ./usr/share/licenses/python3-tables/HDF5.txt |
FileSize | 3766 |
MD5 | 8FECCE3C42626D4BB7A246E229D8F8CD |
SHA-1 | 0A8A893189D78E9686DE3EDA789C47247CA6ACC5 |
SHA-256 | 2B82FEF8ED8A020BA656CE2DB2505ED858939CB7C3B6F7DF084BD83032D77BC7 |
SSDEEP | 96:7mcCYrYHUrYHpE6oldm84Zf9GIrr6BrfU9unj:icCYrUUrU7d84Zf8Gr6Bf+unj |
TLSH | T11171732B735407721BD200A6961EA3E4B7294A1C3BB74B516C5C412C238BD7E1B7B79E |
hashlookup:parent-total | 418 |
hashlookup:trust | 100 |
The searched file hash is included in 418 parent files which include package known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
MD5 | 549C739F05099E830E1C460D399AD8AB |
PackageArch | ppc64 |
PackageDescription | PyTables is a package for managing hierarchical datasets and designed to efficiently and easily cope with extremely large amounts of data. This is the version for Python 3. |
PackageMaintainer | Fedora Project |
PackageName | python3-tables |
PackageRelease | 7.fc21 |
PackageVersion | 3.0.0 |
SHA-1 | 004D4B399DCF456DDBED6441C2756324FD461579 |
SHA-256 | 03621FD8B6178320FF86EFD59AA062212EAC62B3E7A22C3084A728ED0635A4F3 |
Key | Value |
---|---|
MD5 | E0C4BE75537F41FC82E6683767C47A70 |
PackageArch | s390x |
PackageDescription | Documentation and help files for python-tables |
PackageName | python-tables-doc |
PackageRelease | 9.5 |
PackageVersion | 3.4.4 |
SHA-1 | 01189FF6101A3AC3B02731F39FD2F4109CFAC31B |
SHA-256 | 1A996B491E00A4A3C7842C92CEF7C07E5929A826F836AD1DC281D97C56DB1E60 |
Key | Value |
---|---|
MD5 | B08F6F27677E95A0D8DC6BE255DA9183 |
PackageArch | ppc64le |
PackageDescription | PyTables is a package for managing hierarchical datasets and designed to efficiently and easily cope with extremely large amounts of data. This is the version for Python 3. |
PackageMaintainer | Fedora Project |
PackageName | python3-tables |
PackageRelease | 7.fc21 |
PackageVersion | 3.0.0 |
SHA-1 | 01C2C90F24F9535C05886882587EA980896D6308 |
SHA-256 | 118F855C590CA0569EAFACB3047D4B01E53F5006AF4EC7CFDF68176C7EB9C23B |
Key | Value |
---|---|
MD5 | CC5E597F7BCFE5D2ED8153262E2EA15A |
PackageArch | ppc64le |
PackageDescription | PyTables is a package for managing hierarchical datasets and designed to efficiently and easily cope with extremely large amounts of data. This is the version for Python 2. |
PackageMaintainer | Fedora Project |
PackageName | python-tables |
PackageRelease | 1.el7 |
PackageVersion | 3.2.0 |
SHA-1 | 01CFD1BCD72511F7E1BE2AB32ECDA1F4B8D2E141 |
SHA-256 | E087DE1F32F695E71C0BFC01840320EC98186760B20A31EAF0C7309EF77178EE |
Key | Value |
---|---|
MD5 | D338C26F882782FDE5EE3930045339A8 |
PackageArch | s390x |
PackageDescription | H5py provides a simple, robust read/write interface to HDF5 data from Python. Existing Python and Numpy concepts are used for the interface; for example, datasets on disk are represented by a proxy class that supports slicing, and has dtype and shape attributes. HDF5 groups are presented using a dictionary metaphor, indexed by name. |
PackageName | python39-h5py |
PackageRelease | 37.1 |
PackageVersion | 3.4.0 |
SHA-1 | 01E7B57CC9A1EC91B7B6159A74F72839FCC47C15 |
SHA-256 | 3E823482F36FF43240C7313B38F0C318C3EA44BBD807543CCA900021E20E5505 |
Key | Value |
---|---|
MD5 | 232D1115B001CD78C63416BC19EB69A4 |
PackageArch | x86_64 |
PackageDescription | H5py provides a simple, robust read/write interface to HDF5 data from Python. Existing Python and Numpy concepts are used for the interface; for example, datasets on disk are represented by a proxy class that supports slicing, and has dtype and shape attributes. HDF5 groups are presented using a dictionary metaphor, indexed by name. |
PackageMaintainer | https://bugs.opensuse.org |
PackageName | python39-h5py-openmpi4 |
PackageRelease | 1.3 |
PackageVersion | 3.4.0 |
SHA-1 | 02C02F297B214ACCF1F52AE00673B7AD20EEE0E8 |
SHA-256 | 236AB73DA76CFF3D169148B8A1975A120D6B1F807E89E0CBFA959BF7DC790E27 |
Key | Value |
---|---|
MD5 | B5709507978D2C0C0D9564E22E87BFB0 |
PackageArch | ppc64 |
PackageDescription | PyTables is a package for managing hierarchical datasets and designed to efficiently and easily cope with extremely large amounts of data. This is the version for Python 2. |
PackageMaintainer | Fedora Project |
PackageName | python-tables |
PackageRelease | 1.el7 |
PackageVersion | 3.2.0 |
SHA-1 | 04A029E9DBDF51D693BED1F31F7D65B684085A40 |
SHA-256 | 939EB004BFE822B7A3DF15D21B1130363A2F286F95C97249A2789810E66DD52F |
Key | Value |
---|---|
MD5 | C8629C0F43B521F1207392FF16688385 |
PackageArch | i586 |
PackageDescription | H5py provides a simple, robust read/write interface to HDF5 data from Python. Existing Python and Numpy concepts are used for the interface; for example, datasets on disk are represented by a proxy class that supports slicing, and has dtype and shape attributes. HDF5 groups are presented using a dictionary metaphor, indexed by name. |
PackageName | python310-h5py |
PackageRelease | 38.17 |
PackageVersion | 3.4.0 |
SHA-1 | 04B3809FDEA0544683798D4031F54CDADD186C68 |
SHA-256 | 7D15ADF279BD2E46584E21EA0B9A8576976C1DE3E66ACB1A62B8C067F64DB239 |
Key | Value |
---|---|
MD5 | 8700FFBFC2FE461D80EE216E0DF76A15 |
PackageArch | aarch64 |
PackageDescription | The h5py package provides both a high- and low-level interface to the HDF5 library from Python. The low-level interface is intended to be a complete wrapping of the HDF5 API, while the high-level component supports access to HDF5 files, data sets and groups using established Python and NumPy concepts. A strong emphasis on automatic conversion between Python (Numpy) data types and data structures and their HDF5 equivalents vastly simplifies the process of reading and writing data from Python. |
PackageMaintainer | Fedora Project |
PackageName | python3-h5py |
PackageRelease | 8.fc32 |
PackageVersion | 2.9.0 |
SHA-1 | 04CAFB2C62B100FAE2DA3FF492F87C105F176BC4 |
SHA-256 | 65E3B1C31F35D52A05017DC6206781A1540F2F68AC186E66FAAF23F3F9AE97AC |
Key | Value |
---|---|
MD5 | 0EE5429DE94810C9C21154A89436AC6B |
PackageArch | x86_64 |
PackageDescription | H5py provides a simple, robust read/write interface to HDF5 data from Python. Existing Python and Numpy concepts are used for the interface; for example, datasets on disk are represented by a proxy class that supports slicing, and has dtype and shape attributes. HDF5 groups are presented using a dictionary metaphor, indexed by name. |
PackageMaintainer | https://bugs.opensuse.org |
PackageName | python3-h5py-openmpi4 |
PackageRelease | bp153.2.6 |
PackageVersion | 3.1.0 |
SHA-1 | 0516AC4A2EEDECDDF3812F0BD8308995105383D5 |
SHA-256 | D5D373E59A2FF6137F7B729E75A473FF2EACA5AB80F672D17CFDE1915EF77E3E |