Parents (Total: 32)

The searched file hash is included in 32 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
MD5	8FB1B1B12DF5ACA442A3226059806BA2
PackageArch	x86_64
PackageDescription	Cassandra brings together the distributed systems technologies from Dynamo and the data model from Google's BigTable. Like Dynamo, Cassandra is eventually consistent. Like BigTable, Cassandra provides a ColumnFamily-based data model richer than typical key/value systems. For more information see http://cassandra.apache.org/
PackageName	cassandra
PackageRelease	2.53
PackageVersion	3.11.3
SHA-1	07A00A0467DC51DD213AE9C440AD5FAA3C0AEE9E
SHA-256	BB5B0ABE6A5B03285CAC418EE94F37F832359C24E82BDCF6DD5E447DE9718AF3

Key	Value
MD5	5CE0223811B5D827098A65FEA2A5C32B
PackageArch	x86_64
PackageDescription	Cassandra brings together the distributed systems technologies from Dynamo and the data model from Google's BigTable. Like Dynamo, Cassandra is eventually consistent. Like BigTable, Cassandra provides a ColumnFamily-based data model richer than typical key/value systems. For more information see http://cassandra.apache.org/
PackageName	cassandra
PackageRelease	lp150.1.133
PackageVersion	3.11.2
SHA-1	090795A4DD82C9166D4FBF8ED3A3A8D0DC991DED
SHA-256	044359C07CF109CAA7356B990C3B3D2CF37A3618B641CFA9AB8ECBCF9A861396

Key	Value
MD5	49967476B366C7617EEECFE954DCD47C
PackageArch	noarch
PackageDescription	Seaborn is a library for making attractive and informative statistical graphics in Python. It is built on top of matplotlib and tightly integrated with the PyData stack, including support for numpy and pandas data structures and statistical routines from scipy and statsmodels. Some of the features that seaborn offers are: - Several built-in themes that improve on the default matplotlib aesthetics - Tools for choosing color palettes to make beautiful plots that reveal patterns in your data - Functions for visualizing univariate and bivariate distributions or for comparing them between subsets of data - Tools that fit and visualize linear regression models for different kinds of independent and dependent variables - Functions that visualize matrices of data and use clustering algorithms to discover structure in those matrices - A function to plot statistical timeseries data with flexible estimation and representation of uncertainty around the estimate - High-level abstractions for structuring grids of plots that let you easily build complex visualizations
PackageMaintainer	https://bugs.opensuse.org
PackageName	python3-seaborn
PackageRelease	bp154.1.20
PackageVersion	0.8.1
SHA-1	09F67E0B72DA43AAEA39FF833A8FF62D342E251E
SHA-256	3A220E7B5EA8C9F018A4F2686ED40DC746EFD1F25A8B522A523BBB1B0AA5BA10

Key	Value
MD5	B68F37585E72207B9AA18759BA1737C7
PackageArch	noarch
PackageDescription	python-six provides simple utilities for wrapping over differences between Python 2 and Python 3. This is the Python 2 build of the module.
PackageMaintainer	Fedora Project
PackageName	python26-six
PackageRelease	3.el5
PackageVersion	1.7.3
SHA-1	0CD8843DBFC79A1F0B7EA387AA052D39FDACF313
SHA-256	055801D70B1C133E394312BAE4D59B837B738851ED90F6D1A498F000780ECB01

Key	Value
MD5	99B137F3BE3384A58EFBE71757883886
PackageArch	noarch
PackageDescription	Cassandra is a distributed (peer-to-peer) system for the management and storage of structured data.
PackageName	cassandra
PackageRelease	1
PackageVersion	2.2.19
SHA-1	1693B776DC0149B52028A42226CC2BF7C5781C93
SHA-256	3E77CDA7EEED05767A3DF150B51F1ACDD1AF4803809F4BE57B0C3351EDCA07F7

Key	Value
MD5	6A4FE8C5DCA1D10F819B98D7B0C85F87
PackageArch	noarch
PackageDescription	Seaborn is a library for making attractive and informative statistical graphics in Python. It is built on top of matplotlib and tightly integrated with the PyData stack, including support for numpy and pandas data structures and statistical routines from scipy and statsmodels. Some of the features that seaborn offers are: - Several built-in themes that improve on the default matplotlib aesthetics - Tools for choosing color palettes to make beautiful plots that reveal patterns in your data - Functions for visualizing univariate and bivariate distributions or for comparing them between subsets of data - Tools that fit and visualize linear regression models for different kinds of independent and dependent variables - Functions that visualize matrices of data and use clustering algorithms to discover structure in those matrices - A function to plot statistical timeseries data with flexible estimation and representation of uncertainty around the estimate - High-level abstractions for structuring grids of plots that let you easily build complex visualizations
PackageMaintainer	https://bugs.opensuse.org
PackageName	python3-seaborn
PackageRelease	bp155.2.11
PackageVersion	0.8.1
SHA-1	1B6202BB831A5E420EB85F1E74338959B9A8A51D
SHA-256	330052818AB2E499071931665322CE35D0F4AE60C8EC4641B81122E371DD03BD

Key	Value
MD5	27B170C03663C23757D2964E1AD67329
PackageArch	noarch
PackageDescription	Cassandra is a distributed (peer-to-peer) system for the management and storage of structured data.
PackageName	cassandra
PackageRelease	1
PackageVersion	2.1.22
SHA-1	3ABE3E8C0ECD91F6B1E9B21B13D7ED7BE07AE2EA
SHA-256	F8DF518C75BAE48D4A32C9F74B113EC88924F71A40F7A93872E0FB67F56724BA

Key	Value
MD5	A303E31E9DC531AE4E0981A1135F45EA
PackageArch	noarch
PackageDescription	python-six provides simple utilities for wrapping over differences between Python 2 and Python 3. This is the Python 2 build of the module.
PackageMaintainer	Fedora Project
PackageName	python-six
PackageRelease	2.fc21
PackageVersion	1.7.3
SHA-1	48E873443A4A6684E8D646022CFFC478CDE21D2F
SHA-256	AE10B2F0CD3A15BB269AAB060A05EC83828402CE8EB6E5381DCC55D02C23AE95

Key	Value
MD5	0E7243023F4B020213326976371CCBBD
PackageArch	noarch
PackageDescription	python-six provides simple utilities for wrapping over differences between Python 2 and Python 3. This is the Python 3 build of the module.
PackageMaintainer	Fedora Project
PackageName	python3-six
PackageRelease	2.fc21
PackageVersion	1.7.3
SHA-1	4A06552FD5CA33EAFEA817486DCB0634E2E2B5AA
SHA-256	5DC7FB6E2E6656FBBD0211F2670474BE1FFBB7518F54F176A77C6C534FAFEAC7

Key	Value
MD5	DE3B8A88663245BA4B6DA0412A717F75
PackageArch	noarch
PackageDescription	python-six provides simple utilities for wrapping over differences between Python 2 and Python 3. This is the Python 3 build of the module.
PackageMaintainer	Fedora Project
PackageName	python3-six
PackageRelease	2.fc21
PackageVersion	1.7.3
SHA-1	573F91A8290E171C7B54DFFA8A9FE0630AA336A1
SHA-256	55D706F62CFE0A6CE079DC5B7C8C602B392363964F07042043F3AD5F1ECC1572