Result for 011C222C040B451CFD2A1D5894DAA667FC6FF961

Query result

Key Value
FileNamesnap-hashlookup-import/lib/python3.9/site-packages/xarray/backends/file_manager.py
FileSize12030
MD5DDC73886CF1F3EA92F1CEC4AE1AA7D05
SHA-1011C222C040B451CFD2A1D5894DAA667FC6FF961
SHA-256A4368C2FF00C0F56EA7CE4CB9A046A03B26EDFFDBD4586768E9F82753AC1D894
SHA-5124BB89030F5545C807237A8AA0D0787440253A108ED2F85CAD2D96EAC562543014A8F4429CD18E6E400D4F1D85D278BD58E8A8A36CAD5F53553D6AB7C7C4761F7
SSDEEP192:goR9SmG9LlugMnUejSs3X0NWmdV6kCKea1giWEA:V9SmG9y13XKEkYiA
TLSHT1F842866BEBA15D728B9380912F667053D70A9C1B135C24B4F8FCC16C1F6A92482F6DE8
insert-timestamp1703903976.0010266
mimetypetext/x-python
sourcesnap:S3VpJTklG9hO6cKHP7KfqdPS5dhSsdYt_12
tar:gnameroot
tar:unameroot
hashlookup:parent-total38
hashlookup:trust100

Network graph view

Parents (Total: 38)

The searched file hash is included in 38 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD5B6150F9EBBA9D15D2E900DF057C00A98
PackageArchnoarch
PackageDescriptionxarray (formerly xray) is a python-pandas-like and pandas-compatible toolkit for analytics on multi-dimensional arrays. It provides N-dimensional variants of the python-pandas labeled data structures, rather than the tabular data that pandas uses. The Common Data Model for self-describing scientific data is used. The dataset is an in-memory representation of a netCDF file.
PackageNamepython3-xarray
PackageRelease2.2
PackageVersion0.17.0
SHA-1073B3164B77637D5C2A0D16E5D878F87C3D1A6E4
SHA-25612D458C1D3D1F0CCB5E42A2AFC4727C4DFD34126EF10C913ED1A6D0325838E16
Key Value
MD500F59C6F8E25DEDC40EDA26832FD012D
PackageArchnoarch
PackageDescriptionxarray (formerly xray) is a python-pandas-like and pandas-compatible toolkit for analytics on multi-dimensional arrays. It provides N-dimensional variants of the python-pandas labeled data structures, rather than the tabular data that pandas uses. The Common Data Model for self-describing scientific data is used. The dataset is an in-memory representation of a netCDF file.
PackageNamepython39-xarray
PackageRelease62.3
PackageVersion0.20.2
SHA-110524F42BA9FAD413740115C7FA54F511BFC86DB
SHA-2564D9A0BA1CDEC9AD2C47680559042396E72200E4708C5CA3556ED944FB92CB260
Key Value
MD5533C9879FF519E3572A4A30D49ECB676
PackageArchnoarch
PackageDescriptionxarray (formerly xray) is a python-pandas-like and pandas-compatible toolkit for analytics on multi-dimensional arrays. It provides N-dimensional variants of the python-pandas labeled data structures, rather than the tabular data that pandas uses. The Common Data Model for self-describing scientific data is used. The dataset is an in-memory representation of a netCDF file.
PackageNamepython3-xarray
PackageRelease2.2
PackageVersion0.17.0
SHA-1116FC00FF71ECBB2C523FE71AE39D864E59740E0
SHA-2562688405F0E52D6617B200A54EE4C3EF6AEC21C69D1AF37D89FAD45FF32797416
Key Value
MD53653B265A16C5BFE4472E8102AFCDA3A
PackageArchnoarch
PackageDescriptionxarray (formerly xray) is a python-pandas-like and pandas-compatible toolkit for analytics on multi-dimensional arrays. It provides N-dimensional variants of the python-pandas labeled data structures, rather than the tabular data that pandas uses. The Common Data Model for self-describing scientific data is used. The dataset is an in-memory representation of a netCDF file.
PackageNamepython39-xarray
PackageRelease62.3
PackageVersion0.20.2
SHA-112226945AD995DBEB347FB056005976ADCDC22AF
SHA-256F883E4127E9101ABFBFB57AC28DB760C5133C9358A92B11832BC68CB4C3B529C
Key Value
MD5AFF53BF356D7E3A892D934CD7CFD5E5C
PackageArchnoarch
PackageDescriptionxarray (formerly xray) is a python-pandas-like and pandas-compatible toolkit for analytics on multi-dimensional arrays. It provides N-dimensional variants of the python-pandas labeled data structures, rather than the tabular data that pandas uses. The Common Data Model for self-describing scientific data is used. The dataset is an in-memory representation of a netCDF file.
PackageMaintainerhttps://bugs.opensuse.org
PackageNamepython38-xarray
PackageRelease1.2
PackageVersion0.20.2
SHA-114314FAFEEC9FA9A0E1C1E0057B213B1A5624820
SHA-2561E78AC3AD75DE4F39B095F02C40D9A920ABD9732820B5A75B050FFC4F4C25C27
Key Value
MD5F2EB140E19B21314F0C094DE3C7A3B3D
PackageArchnoarch
PackageDescriptionxarray (formerly xray) is a python-pandas-like and pandas-compatible toolkit for analytics on multi-dimensional arrays. It provides N-dimensional variants of the python-pandas labeled data structures, rather than the tabular data that pandas uses. The Common Data Model for self-describing scientific data is used. The dataset is an in-memory representation of a netCDF file.
PackageNamepython38-xarray
PackageRelease62.4
PackageVersion0.20.2
SHA-1170512AF433513A8A7E57A48A47B466F5602A69E
SHA-256FFAB663D01DB06D9FDB760D0DB5B61E7E95D626117E20D25270AC5C061B27345
Key Value
MD5D96107ED10E9FA051B6F22C852FF5FEF
PackageArchnoarch
PackageDescriptionXarray (formerly xray) is an open source project and Python package that makes working with labelled multi-dimensional arrays simple, efficient, and fun! Xarray introduces labels in the form of dimensions, coordinates and attributes on top of raw NumPy-like arrays, which allows for a more intuitive, more concise, and less error-prone developer experience. The package includes a large and growing library of domain-agnostic functions for advanced analytics and visualization with these data structures. Xarray was inspired by and borrows heavily from pandas, the popular data analysis package focused on labelled tabular data. It is particularly tailored to working with netCDF files, which were the source of xarray's data model, and integrates tightly with dask for parallel computing.
PackageMaintainerFedora Project
PackageNamepython3-xarray
PackageRelease1.fc34
PackageVersion0.17.0
SHA-121F00B9C11FE48CDFAF56940E8B1C165E5A04CC7
SHA-256F012CDBC21B445DF218451281316B64FCB894587D1A54D9E264894DDFBF8FD28
Key Value
MD526B54B91E716A92D5165813525D12EF5
PackageArchnoarch
PackageDescriptionxarray (formerly xray) is a python-pandas-like and pandas-compatible toolkit for analytics on multi-dimensional arrays. It provides N-dimensional variants of the python-pandas labeled data structures, rather than the tabular data that pandas uses. The Common Data Model for self-describing scientific data is used. The dataset is an in-memory representation of a netCDF file.
PackageNamepython38-xarray
PackageRelease2.1
PackageVersion0.18.2
SHA-1329C26E58C403640FF9215ACB63B16A173DB5EB0
SHA-256938E79C844FD694EF6958A52B9B9844648D6B7F0EC5E2DB3BDF090DF2BED25B0
Key Value
MD5C99BB5398D9A33D028108FD41A8797CA
PackageArchnoarch
PackageDescriptionxarray (formerly xray) is a python-pandas-like and pandas-compatible toolkit for analytics on multi-dimensional arrays. It provides N-dimensional variants of the python-pandas labeled data structures, rather than the tabular data that pandas uses. The Common Data Model for self-describing scientific data is used. The dataset is an in-memory representation of a netCDF file.
PackageNamepython3-xarray
PackageRelease3.6
PackageVersion0.16.2
SHA-133716481558B3BF4F75D1BE1CE49F83FD9556A3A
SHA-2566FE5CF9C45EAEE4F6C36AF5F0F5A275F9563ECDC0A51244EDB34DFDA3389FD08
Key Value
MD5604395DDDFE74D7B8686B995AE664507
PackageArchnoarch
PackageDescriptionXarray (formerly xray) is an open source project and Python package that makes working with labelled multi-dimensional arrays simple, efficient, and fun! Xarray introduces labels in the form of dimensions, coordinates and attributes on top of raw NumPy-like arrays, which allows for a more intuitive, more concise, and less error-prone developer experience. The package includes a large and growing library of domain-agnostic functions for advanced analytics and visualization with these data structures. Xarray was inspired by and borrows heavily from pandas, the popular data analysis package focused on labelled tabular data. It is particularly tailored to working with netCDF files, which were the source of xarray's data model, and integrates tightly with dask for parallel computing.
PackageMaintainerFedora Project
PackageNamepython3-xarray
PackageRelease1.fc33
PackageVersion0.16.1
SHA-145DFB3D025A03D0F07BAA0B0B2BD1732F9161B72
SHA-2566F5C919419803326689417C03B49F01015DD59640A97EE58F793D87961055AC1