Key | Value |
---|---|
FileName | snap-hashlookup-import/lib/python3.9/site-packages/xarray/backends/file_manager.py |
FileSize | 12030 |
MD5 | DDC73886CF1F3EA92F1CEC4AE1AA7D05 |
SHA-1 | 011C222C040B451CFD2A1D5894DAA667FC6FF961 |
SHA-256 | A4368C2FF00C0F56EA7CE4CB9A046A03B26EDFFDBD4586768E9F82753AC1D894 |
SHA-512 | 4BB89030F5545C807237A8AA0D0787440253A108ED2F85CAD2D96EAC562543014A8F4429CD18E6E400D4F1D85D278BD58E8A8A36CAD5F53553D6AB7C7C4761F7 |
SSDEEP | 192:goR9SmG9LlugMnUejSs3X0NWmdV6kCKea1giWEA:V9SmG9y13XKEkYiA |
TLSH | T1F842866BEBA15D728B9380912F667053D70A9C1B135C24B4F8FCC16C1F6A92482F6DE8 |
insert-timestamp | 1703903976.0010266 |
mimetype | text/x-python |
source | snap:S3VpJTklG9hO6cKHP7KfqdPS5dhSsdYt_12 |
tar:gname | root |
tar:uname | root |
hashlookup:parent-total | 38 |
hashlookup:trust | 100 |
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 |
---|---|
MD5 | B6150F9EBBA9D15D2E900DF057C00A98 |
PackageArch | noarch |
PackageDescription | xarray (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. |
PackageName | python3-xarray |
PackageRelease | 2.2 |
PackageVersion | 0.17.0 |
SHA-1 | 073B3164B77637D5C2A0D16E5D878F87C3D1A6E4 |
SHA-256 | 12D458C1D3D1F0CCB5E42A2AFC4727C4DFD34126EF10C913ED1A6D0325838E16 |
Key | Value |
---|---|
MD5 | 00F59C6F8E25DEDC40EDA26832FD012D |
PackageArch | noarch |
PackageDescription | xarray (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. |
PackageName | python39-xarray |
PackageRelease | 62.3 |
PackageVersion | 0.20.2 |
SHA-1 | 10524F42BA9FAD413740115C7FA54F511BFC86DB |
SHA-256 | 4D9A0BA1CDEC9AD2C47680559042396E72200E4708C5CA3556ED944FB92CB260 |
Key | Value |
---|---|
MD5 | 533C9879FF519E3572A4A30D49ECB676 |
PackageArch | noarch |
PackageDescription | xarray (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. |
PackageName | python3-xarray |
PackageRelease | 2.2 |
PackageVersion | 0.17.0 |
SHA-1 | 116FC00FF71ECBB2C523FE71AE39D864E59740E0 |
SHA-256 | 2688405F0E52D6617B200A54EE4C3EF6AEC21C69D1AF37D89FAD45FF32797416 |
Key | Value |
---|---|
MD5 | 3653B265A16C5BFE4472E8102AFCDA3A |
PackageArch | noarch |
PackageDescription | xarray (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. |
PackageName | python39-xarray |
PackageRelease | 62.3 |
PackageVersion | 0.20.2 |
SHA-1 | 12226945AD995DBEB347FB056005976ADCDC22AF |
SHA-256 | F883E4127E9101ABFBFB57AC28DB760C5133C9358A92B11832BC68CB4C3B529C |
Key | Value |
---|---|
MD5 | AFF53BF356D7E3A892D934CD7CFD5E5C |
PackageArch | noarch |
PackageDescription | xarray (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. |
PackageMaintainer | https://bugs.opensuse.org |
PackageName | python38-xarray |
PackageRelease | 1.2 |
PackageVersion | 0.20.2 |
SHA-1 | 14314FAFEEC9FA9A0E1C1E0057B213B1A5624820 |
SHA-256 | 1E78AC3AD75DE4F39B095F02C40D9A920ABD9732820B5A75B050FFC4F4C25C27 |
Key | Value |
---|---|
MD5 | F2EB140E19B21314F0C094DE3C7A3B3D |
PackageArch | noarch |
PackageDescription | xarray (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. |
PackageName | python38-xarray |
PackageRelease | 62.4 |
PackageVersion | 0.20.2 |
SHA-1 | 170512AF433513A8A7E57A48A47B466F5602A69E |
SHA-256 | FFAB663D01DB06D9FDB760D0DB5B61E7E95D626117E20D25270AC5C061B27345 |
Key | Value |
---|---|
MD5 | D96107ED10E9FA051B6F22C852FF5FEF |
PackageArch | noarch |
PackageDescription | Xarray (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. |
PackageMaintainer | Fedora Project |
PackageName | python3-xarray |
PackageRelease | 1.fc34 |
PackageVersion | 0.17.0 |
SHA-1 | 21F00B9C11FE48CDFAF56940E8B1C165E5A04CC7 |
SHA-256 | F012CDBC21B445DF218451281316B64FCB894587D1A54D9E264894DDFBF8FD28 |
Key | Value |
---|---|
MD5 | 26B54B91E716A92D5165813525D12EF5 |
PackageArch | noarch |
PackageDescription | xarray (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. |
PackageName | python38-xarray |
PackageRelease | 2.1 |
PackageVersion | 0.18.2 |
SHA-1 | 329C26E58C403640FF9215ACB63B16A173DB5EB0 |
SHA-256 | 938E79C844FD694EF6958A52B9B9844648D6B7F0EC5E2DB3BDF090DF2BED25B0 |
Key | Value |
---|---|
MD5 | C99BB5398D9A33D028108FD41A8797CA |
PackageArch | noarch |
PackageDescription | xarray (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. |
PackageName | python3-xarray |
PackageRelease | 3.6 |
PackageVersion | 0.16.2 |
SHA-1 | 33716481558B3BF4F75D1BE1CE49F83FD9556A3A |
SHA-256 | 6FE5CF9C45EAEE4F6C36AF5F0F5A275F9563ECDC0A51244EDB34DFDA3389FD08 |
Key | Value |
---|---|
MD5 | 604395DDDFE74D7B8686B995AE664507 |
PackageArch | noarch |
PackageDescription | Xarray (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. |
PackageMaintainer | Fedora Project |
PackageName | python3-xarray |
PackageRelease | 1.fc33 |
PackageVersion | 0.16.1 |
SHA-1 | 45DFB3D025A03D0F07BAA0B0B2BD1732F9161B72 |
SHA-256 | 6F5C919419803326689417C03B49F01015DD59640A97EE58F793D87961055AC1 |