Result for 0AD63E5F9C63808166A598FE095066994905810F

Query result

Key Value
FileName./usr/share/doc/hdf5-openmpi/README.txt
FileSize2995
MD5C34E55E0F88AF2D54A8F534413EEB5E0
SHA-10AD63E5F9C63808166A598FE095066994905810F
SHA-256A92A6861964F4A56699E270C4930489E3EB8BC5292EEE74C8851246DB844B648
SSDEEP48:P3AYO05oMdEqbM0GUj3j0bT5UJ7EulduELaBfw35ue6f/2U9xxM0:P3KMd/AQobT5U2ulbbdp0
TLSHT1BF5175B37E9007A21392C586949EA2CBFF3B40BF7B4A185BB41C01984F12B3741BF501
hashlookup:parent-total24
hashlookup:trust100

Network graph view

Parents (Total: 24)

The searched file hash is included in 24 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD5CBE9DCF3F80BB00CE6F910EC2C31105C
PackageArchi686
PackageDescriptionHDF5 parallel mpich libraries
PackageMaintainerFedora Project
PackageNamehdf5-mpich
PackageRelease2.fc33
PackageVersion1.10.6
SHA-101BCA5528138A981399906DCA8999ABB2926AE17
SHA-256B451D80BCD55A095A84DF9921E52FFD6D94562F7851472B3E300A8C7A9ED4C16
Key Value
MD51AC2043F6579A7EF5F5CE250A9B360A6
PackageArchaarch64
PackageDescriptionHDF5 is a general purpose library and file format for storing scientific data. HDF5 can store two primary objects: datasets and groups. A dataset is essentially a multidimensional array of data elements, and a group is a structure for organizing objects in an HDF5 file. Using these two basic objects, one can create and store almost any kind of scientific data structure, such as images, arrays of vectors, and structured and unstructured grids. You can also mix and match them in HDF5 files according to your needs.
PackageMaintainerFedora Project
PackageNamehdf5
PackageRelease2.fc33
PackageVersion1.10.6
SHA-106009AFBAFB893D4F69E8F92C92A63F076ED8F69
SHA-256CBF45F494D6C735CD988743076BABD53153A362A3FEEB6E130E5EA4CB705282A
Key Value
MD595A381192B9FBC5A244751C3610ACDB0
PackageArcharmv7hl
PackageDescriptionHDF5 is a general purpose library and file format for storing scientific data. HDF5 can store two primary objects: datasets and groups. A dataset is essentially a multidimensional array of data elements, and a group is a structure for organizing objects in an HDF5 file. Using these two basic objects, one can create and store almost any kind of scientific data structure, such as images, arrays of vectors, and structured and unstructured grids. You can also mix and match them in HDF5 files according to your needs.
PackageMaintainerFedora Project
PackageNamehdf5
PackageRelease5.fc34
PackageVersion1.10.6
SHA-1155F92FBD2DCEFC339B8AA0082CF9E6E8EF68A54
SHA-2569BE832BBC25757E24F443ED124B1225CB3E409D4A6F4534F30DA1062340F45EC
Key Value
MD5481F40CFBD77178D7B1E5C022B49E718
PackageArchx86_64
PackageDescriptionHDF5 parallel mpich libraries
PackageMaintainerFedora Project
PackageNamehdf5-mpich
PackageRelease5.fc34
PackageVersion1.10.6
SHA-11F3EA30FAA04A974C2ABA3D15104A8695241C010
SHA-256C6AA14159D995B21F6EF0BFE7E98B5B0335824546B0F21D2FE5085D3369E0A99
Key Value
MD5AE1561CB0F1F4B550A8B847FD448DB5E
PackageArchaarch64
PackageDescriptionHDF5 parallel openmpi libraries
PackageMaintainerFedora Project
PackageNamehdf5-openmpi
PackageRelease5.fc34
PackageVersion1.10.6
SHA-156ECAC5A819E077C501F81840F892F24C2F8702E
SHA-25617AAD80D29D2F3565D1F6BD33169C243499980251E104D7FF3309C518ACD9013
Key Value
MD5357CC7E5B478C251DC197632A065FC63
PackageArcharmv7hl
PackageDescriptionHDF5 is a general purpose library and file format for storing scientific data. HDF5 can store two primary objects: datasets and groups. A dataset is essentially a multidimensional array of data elements, and a group is a structure for organizing objects in an HDF5 file. Using these two basic objects, one can create and store almost any kind of scientific data structure, such as images, arrays of vectors, and structured and unstructured grids. You can also mix and match them in HDF5 files according to your needs.
PackageMaintainerFedora Project
PackageNamehdf5
PackageRelease2.fc33
PackageVersion1.10.6
SHA-1664E6D3452719583315BB663F8E896CD71834738
SHA-256099B8CDD413B1DE3C45F32399C908A20E9212EA396CF5E50B81CE46DD7AD0B78
Key Value
MD56DFD7159427F1E8BE00BE7C64F54F31B
PackageArcharmv7hl
PackageDescriptionHDF5 parallel openmpi libraries
PackageMaintainerFedora Project
PackageNamehdf5-openmpi
PackageRelease2.fc33
PackageVersion1.10.6
SHA-167C2C345D0AF26B596DCF910C55041AB7A1A7FDF
SHA-25611574A5E0C9FF999E1FFF5512EC9245B9515D43A999EAC001A24CA672FEE0E5A
Key Value
MD59F49930D9DEAE8C2C4DDA8244C5B92A1
PackageArchaarch64
PackageDescriptionHDF5 parallel openmpi libraries
PackageMaintainerFedora Project
PackageNamehdf5-openmpi
PackageRelease2.fc33
PackageVersion1.10.6
SHA-168F42BD78C04749B0BECC01DAF4A6560462A8528
SHA-2563BCEA854F7A6C3318D013BB2A8141082B7A67D02AD248647C1D9C705A3ED81FF
Key Value
MD55AE74B05C3055833717F9F808BDCEB4B
PackageArchi686
PackageDescriptionHDF5 is a general purpose library and file format for storing scientific data. HDF5 can store two primary objects: datasets and groups. A dataset is essentially a multidimensional array of data elements, and a group is a structure for organizing objects in an HDF5 file. Using these two basic objects, one can create and store almost any kind of scientific data structure, such as images, arrays of vectors, and structured and unstructured grids. You can also mix and match them in HDF5 files according to your needs.
PackageMaintainerFedora Project
PackageNamehdf5
PackageRelease5.fc34
PackageVersion1.10.6
SHA-16C660EFFC8E286F6D0AFBF339DEE91709ACDB29B
SHA-256982741D790989D34B76F67DACD8948AA9FE30360C68663CF2C2A53FBE5550E5E
Key Value
MD5283FE53613D080FC9C5A0486ED8D33E4
PackageArcharmv7hl
PackageDescriptionHDF5 parallel openmpi libraries
PackageMaintainerFedora Project
PackageNamehdf5-openmpi
PackageRelease5.fc34
PackageVersion1.10.6
SHA-173E0EC10C1420873745F5CCB7DBA257A5D1B4B62
SHA-2568B8F959C20E193504ACE51C0833158E56135914097F7D3A7DEC9EFA28987ECA2