Result for 01ACF2B71CDEE2FCC74B3E0BC0B04825DD403778

Query result

Key Value
FileName./usr/lib/python3.6/site-packages/xarray/core/__pycache__/utils.cpython-36.pyc
FileSize26747
MD52F71CC1E63D62EAF63C1AC5AA4B0D6E4
SHA-101ACF2B71CDEE2FCC74B3E0BC0B04825DD403778
SHA-256F37577597346CF43D4D169C3273D22140C433C1E30CB6558652C754CF1FFAD5A
SSDEEP768:zv0xzfusPSQIF+Eli72e6gKjOmKtDWGnw/39+r:zv0xzusPSZ+si72e6gKjJKYGnwve
TLSHT1EEC294C26A805E6FF867F3FC011A9A98D7359237538D6193E409809E2F4FBC05D3999D
hashlookup:parent-total6
hashlookup:trust80

Network graph view

Parents (Total: 6)

The searched file hash is included in 6 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD50407FA046C31C3BFF81DB56EB25E3F39
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-1CC293D80843B79A3B1F0ACBC78D52E3867D5B687
SHA-2563B199F3B18FBB7626CF58F531DC99DF86718DC0327B7270A22C7BA531C1BF2A1
Key Value
MD52E5D50BBF58C375DCEDDE73F4393C75D
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
PackageReleaselp152.43.1
PackageVersion0.16.2
SHA-1941F9947F933308B8BD6315B4C478F56DB25E7E5
SHA-256496B6498C9541606D9F03B44D6DFBA1C276E436301874A72B942BBA423CB529F
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
MD51A408C452FBD3EF9773FFF1FBA4AC58F
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
PackageReleaselp151.3.1
PackageVersion0.16.2
SHA-1D6CB020364435B5998C245137FE34CB76E492AAB
SHA-2561E946A5DB13CC5E86F2B6395550DAD44B5D23595E872A046C2E0B503BCDB04A1
Key Value
MD54781190A88C37DC65274A3CE34F85A4A
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
PackageRelease3.8
PackageVersion0.16.2
SHA-1BEB4EB871F51E33BF9D5C592EB2B3C280A47B393
SHA-25670112F4B89A6267F316F7B6D198A27AC91D5F8026C0479B727B9DA9BF0DD64AF
Key Value
MD5D3266A3F9935F7794A313E6B04C018E7
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
PackageRelease3.8
PackageVersion0.16.2
SHA-1ECBEF50FF309AE18762DFEDC18542B9B6B6B9AE3
SHA-256B89F78AFDD7F881CAE560E7CA70EF5ECDD4E17E460E3B311C1C2632FFCB72955