Result for 329C26E58C403640FF9215ACB63B16A173DB5EB0

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Graph view
Children (389)

Query result

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
hashlookup:children-total389
hashlookup:trust50

Network graph view

Children (Total: 389)

The searched file hash includes 389 children files known and seen by metalookup. A sample is included below:

Key Value
FileName./usr/lib/python3.8/site-packages/xarray/core/__pycache__/dtypes.cpython-38.opt-1.pyc
FileSize4805
MD5035508180BB5C0B94F379271840EF088
SHA-1010F3671D766AF0F72035B0351660FAAAA0B4F72
SHA-256548C07669B59998CEEE942C7185244A460F6F66312A9D68805F11EEDEBCB1039
SSDEEP96:NEDdE/VQqMVAbrfXDNkMV8r4fAVztpVzeIsBiVFy+1WVGZttu07ED1:XVQqmAHfxkmy4fSztXzqBiVFn687Eh
TLSHT1FDA112C45E42056BF8A1F3F0818B2103E6348B7F630A654B7A8DB4BE2F56759A47CF19
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
Key Value
FileNamesnap-hashlookup-import/lib/python3.9/site-packages/xarray/coding/frequencies.py
FileSize9138
MD565112429215719D98DBE3C53AE160EC9
SHA-1013F15A75C052A85D17720187AE2D07AEB9C1008
SHA-256CDC8DCE4C6687FA8C170AD2A03CF8C26028EEF3F718492DBC28D3494818D7067
SHA-512BFB37FEF7A824DB1FE9C2706A60631C47F33AE6889C37112444A2F538D6F0ECA3AB09EFBB38C111E1708578075CDE31524C26A10C3255BD50CEE334698C14606
SSDEEP192:s6WJ2TrsErsjF3L3qmatD5ovto6RAPDMlwXUAcdf4FS4ZA4mV4xp4IgV4P4A4Z4g:sHUrsErsjtjq1CvwoCWNySOABVWpnsm6
TLSHT13D12A58B5C0119138257C564E8D7EE03B30FB907170A26353CBC62A82FE1D38A2FD9D8
insert-timestamp1703903976.2192907
mimetypetext/plain
sourcesnap:S3VpJTklG9hO6cKHP7KfqdPS5dhSsdYt_12
Key Value
FileName./usr/lib/python3.8/site-packages/xarray/core/__pycache__/dask_array_ops.cpython-38.opt-1.pyc
FileSize2470
MD5057A8E7C3C8EE220147467BB443DD8B2
SHA-102649528BA9F642D8FBE2A2F624B42CA3148BCAA
SHA-2560C3589B5144172A3E6AC6CA6E98AE79A33F023B3AD77EF6A61C7CCC43A94457F
SSDEEP48:oc4ljYS8CcpfNxk0J72sCrURlDQZhkLB3C8/YKwV:oc4qSIpf7kyiPovQCgcYt
TLSHT1FC51C8C778013E5BFDA6FAB4551306021220D1E9A337020E460A7EB37D823C64B51F7C
Key Value
FileName./usr/lib/python3.8/site-packages/xarray/core/__pycache__/weighted.cpython-38.pyc
FileSize7840
MD51F2050EA47F1256D6223F73FB2B81A0C
SHA-1027F683E44DEE0C4AD43E04FCADDB49E4251BA37
SHA-2562E105AA3AE10BEAAFA5A37A40EB09D95E6ABBE709F155B4ED21D9DF7F5B7F600
SSDEEP192:kOpKvCoGnzBnRbMGnzmuF9EUAJN4iYWeEEJdfLqyrbS:kOAvCo89Mz69+mWehJ1LBrbS
TLSHT1ACF151B2AF05FFBBFC0AF0F6D16D525D8672415B23D5D056328C805D0F086A6B07A6AD
Key Value
FileNamesnap-hashlookup-import/lib/python3.9/site-packages/xarray/plot/__init__.py
FileSize329
MD5399F542933A0F2CC913C459A0080309A
SHA-104C7DC1FCF5071CF02606C7774B0835F25922441
SHA-25698C302E72486B2EB4F9A7590E6F6F1F40297D1A9EBEB3E98D9ABE398DBE8D91A
SHA-512A005F86EC8FD66AA9FA3041CA661BA2B3CA15832DD8853E8B275C199AB107DF8413704EF8885DBB1AB957B7CE0E4091E19371F1647DBF58E81DFE4C6A579BCBA
SSDEEP6:1LBKnxL1DvTJxiVnbBJR/JUOHICPRv0ARpQxZdsQxTBOAJvFmV/0aq8TXCrqq:1sxLJbJx+phpBROfhLTmV/0hs+
TLSHT19AE0CD3DC506AE0602E3D061204706029B29E4238F22335D7B44427C9FCC94FB83322F
insert-timestamp1703903975.2296014
mimetypetext/x-python
sourcesnap:S3VpJTklG9hO6cKHP7KfqdPS5dhSsdYt_12
Key Value
FileName./usr/lib/python3.9/site-packages/xarray/backends/pydap_.py
FileSize4647
MD5A2E07048DB4A0E25C1E7D9A2EFDB4AEA
SHA-104C826D09791BFF187469E776C9E3F882A4A7C96
SHA-256394ABB24FB6DE9AC7370644701D9B7C77F704FAFCE6B48A999423A7320D38303
SSDEEP96:INLGxgDgc71WEWwxi0JtulgMO1kTIcnktFxV/k3Hjym:INLG6gLwo0JtpMOGT7nktFLCjym
TLSHT129A1724A5B5567B61FD38169E88EC4829358B80B1A09306C7CAD53910F0ED28E6FD9EC
Key Value
FileName./usr/lib/python3.9/site-packages/xarray-0.18.2-py3.9.egg-info/PKG-INFO
FileSize3505
MD527BC8990ECDAA03388E5F3E017934EDC
SHA-1058517C6882040F5B27D08D9BA25DA3F467DC774
SHA-256A2023CB4A4C2AC33D9EFE1E6E2C42CAC7F7FB3D134305A1E01CA9AB1010B6970
SSDEEP96:DcLZQI5PaPkf8iZCQUGCcJy0Z7NhUWoMfPX4WTgZCCRYXmIl1f5EG:HZiZ9UGCW7fUWB4OghRYWzG
TLSHT19471D6523BC106BC0FE34A02A74C9A4EDA302144BF4568F5F96F0528B402D39B23F23C
Key Value
FileName./usr/lib/python3.9/site-packages/xarray/tests/test_formatting_html.py
FileSize6861
MD5539AE5FA2968CDB819F5C643ACDB5465
SHA-105BB71F3560EC63EF153D2063750723B8853CDAD
SHA-256A18DC848EBAA1B61ED037CF40BE4A0D956F1C2CBDD327EEF415ED34CDD779502
SSDEEP96:d9FC1FovShX7u6i96D1J1BCZ6VgayWb6686moz+j6AfCYNz+j6qM66P3gtVdnr6M:vFC1xXK3fCYnPeVdZePlM
TLSHT120E1F221F1460C647A5371FC84F9BB457B2EFA176640088BF5EC69181F5DE18A02B77E
Key Value
FileName./usr/lib/python3.8/site-packages/xarray/tests/__pycache__/test_coding_times.cpython-38.pyc
FileSize28793
MD59630BD711FB7E763B27B1C45F4593A15
SHA-105C445CCAFA9A05CC7030B3718F8780D82B1ADE4
SHA-256D6AD21D5A2EEA9936943344F1DB69E7C73490421A79A54C767EB652B1CAE817D
SSDEEP768:hT7gmcMIxk0xPtuZ8AGXEcReFTk55M1af:hT7gmcMca8AG3Re9MR
TLSHT113D2C6C43C264A1AFDE6F3F521EA6290DB2CE3E6D38556137D10934A2D40B582D6E2BD





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