Result for 9658FB4B8CFDFD60C074CDBD5856319889B83685

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Graph view
Children (409)

Query result

Key Value
MD5EC14C6FA9AD1908DE6A86BBC50012D52
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
PackageRelease62.3
PackageVersion0.20.2
SHA-19658FB4B8CFDFD60C074CDBD5856319889B83685
SHA-25645471A4F0E33AF1B9004FF4A8D4FE1C03DDDF13A2EEC99E532ED5C5257CD4DBD
hashlookup:children-total409
hashlookup:trust50

Network graph view

Children (Total: 409)

The searched file hash includes 409 children files known and seen by metalookup. A sample is included below:

Key Value
FileName./usr/lib/python3.8/site-packages/xarray/core/__pycache__/arithmetic.cpython-38.pyc
FileSize3757
MD567B6BB3D780DE4A60ED0C9C2516865CD
SHA-100CA1547C1082D1F1BE5E703A592CCBC5086F327
SHA-25670ACED91D9C03829E6B6913D73CE34FE7F1F27F3EF449B60DDDF371587B8EF30
SSDEEP96:Bo8qlknj5M+w5Ay0QMKFvBPLf3GSIDjNaq3lp:Bfq+njmjdTLvzvy/R3j
TLSHT1B771A3584246D579F06BF2B8C2AE060ADE1303791B81665A7C618FCADC07394B9BB39D
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/backends/__pycache__/netCDF4_.cpython-38.opt-1.pyc
FileSize15167
MD5FC6B691E087569C24C329D560005C249
SHA-1017B5284CBF897C3E6316AB67FF456F2246EB695
SHA-25648416EC01BC91EA2323669A5561BB24FA8D11EDA2D24631DA2C020B841A1FF49
SSDEEP384:aR0au7T1yKAyKOsOJqTIUGlDbQDMKXIb+:TaADKOsOkTZGBbQDDIb+
TLSHT13162E7D282814C6FFFA4F3BD409E03D6866A837BD75662D35924E29F1C446C85E31ADC
Key Value
FileNamesnap-hashlookup-import/lib/python3.9/site-packages/xarray/backends/scipy_.py
FileSize9386
MD522E09B79932CB058DCEBD1F1958498E0
SHA-101C5339A0AA797A4C25E125AA1D78114E1194B3C
SHA-256B1A823221FD2654479B990A3236061C5F70759B5565AAAC5627BBD2A52CFA548
SHA-512798678C772DB1A24FCA0C50DB5C1795449A73FD95B905F882C2841991EB2E0356AE7FC5CA75E8986BB1B9DE18131CF1BCE80F15746483EDC3CA942D1E5030CCD
SSDEEP192:yCKk2Mh8LPLgaiIGCEAZljoBaMfGBjyR4:h2MhygafoIMfUjY4
TLSHT18C12940A5B2571959F83C45C5CEFD087A71DB98B1A08343838EC93991F69A28E1F0FEC
insert-timestamp1703903976.0482407
mimetypetext/x-python
sourcesnap:S3VpJTklG9hO6cKHP7KfqdPS5dhSsdYt_12
Key Value
FileName./usr/lib/python3.9/site-packages/xarray-0.20.2-py3.9.egg-info/SOURCES.txt
FileSize8852
MD54631999CD087D98B77FD8B98227D1410
SHA-101D732544A759C1DA5F234B0462B1DF0E4A20B6A
SHA-256C8750530C14AD7D082EAA0A65E915098746353FB0A13966979DBA56C7A8F5C99
SSDEEP192:Bp5oab5SDMFrqvsl8WaSMGuASr3S6tlbHFfzbV1Lg/7XsL:Bpw3S6jlfzf
TLSHT170028AD0A22BE23E1E52BC94932F3F33ED9EF151FC91A482E42F0C19CF52A59125C259
Key Value
FileName./usr/lib/python3.8/site-packages/xarray/tests/__pycache__/test_variable.cpython-38.opt-1.pyc
FileSize86517
MD599FC125CA3D159DE6E4018AC79F44EB4
SHA-101DC0D6921E2EE7E416B3ED5582C1ADCDAD1E247
SHA-2563CF5414D1D079E458520BEE693D7F46F7A0A58D92EBEBD1721C5B833436EA088
SSDEEP1536:0YQIh92CjMWaZQWAU5mHkZXoYLv5NzWOKPqVq9IStYNT3Zzpf0W1ngpI7fXyw3C:0YrHkdo8Bq9IlN12Ib8
TLSHT15C83E8BC7073ED3BF905F1BD85AA0754963AE3AA13C5DA13E400CD9F7F942846D60A98
Key Value
FileName./usr/lib/python3.8/site-packages/xarray/tests/__pycache__/conftest.cpython-38.pyc
FileSize397
MD5C339815EA9082BD25346FD14860B05C4
SHA-10255A4B7D5EB4AFBE79A2444C287756036EC5444
SHA-256BC240EAB8E098FFA24E9CA16E1119A800DC1CB4DD35B21AE879FC987F933BF89
SSDEEP6:Xe2l/ig+JBvhAhO1s/lrziY/gJ9UkvBmMlytCG9YvLor/A2knuemkM+tEcXvld+N:u2Ig2ZKhl/9VkZmkXGwFuyM+tEcNd+Nn
TLSHT1B2E0C0C50309A630F5E4F3B511222F741B23F93EB204055BEF4AA1D99D051940836B1C
Key Value
FileName./usr/lib/python3.8/site-packages/xarray/core/__pycache__/computation.cpython-38.pyc
FileSize55624
MD5DB532B7B3E0231A0E0C961FB1E25ED57
SHA-102D9FA98BD436BF8DA40BC69FB9023A5F53A2810
SHA-256893A340DB15C89C9E8BEB32162586A4506AC8768457348C0DEC9B056020D382B
SSDEEP768:pKoHw/QITjDTZIGbAQfqwVl7rxkZaciBlq877VvtmG2WdsUv9fZ:o1IInm2fqwjq877VvoKhb
TLSHT18643194A3BD04839F9A3F2F8898E434DAB31E1277399A641700DC6992F4D77C6E3965C





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