Result for 45DFB3D025A03D0F07BAA0B0B2BD1732F9161B72

Query result

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
hashlookup:children-total326
hashlookup:trust50

Network graph view

Children (Total: 326)

The searched file hash includes 326 children files known and seen by metalookup. A sample is included below:

Key Value
FileName./usr/lib/python3.9/site-packages/xarray/tests/__pycache__/test_coding_strings.cpython-39.pyc
FileSize7172
MD5FB24578CF705F0DAE98FAB484D158758
SHA-10032B7C5A4BB9A3761ED44B9DCB9B20FF6D97ABA
SHA-256D272410FC3B4F8EDDC0214FE89E09D6C7137D28A2CFEF32DF97079E248E84A71
SSDEEP96:gW21u4sqNFe6Qf4H0GD2EJjpWUoENGL5SmCMqrFXBt3gMu60TnVkEuf+Ju3X+5t9:ete644H/CLtChrF/DunrVkOJueT9
TLSHT1B5E1C8A0B5432CEEFC11F2F940671714355ED39813A2516BED04FAAD5E8E2A80F7D948
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
FileName./usr/lib/python3/dist-packages/xarray/coding/frequencies.py
FileSize9171
MD5C138D99C2664FCDB3B773BADE4DDE9A6
SHA-101DB8F066939E4F4EE82887E662B86757C559B04
SHA-256D81A865AA0444172CC9209975674175D75D831C10930FFA3FAEC52AAF35F461A
SSDEEP192:s6WJ2TrsErsjF3L3qmatD5ovto6ZoPDMlwXUAcdf4FS4ZA4mV4xp4IgV4P4A4Z4e:sHUrsErsjtjq1CvwoCWNySOABVWpnsmM
TLSHT16612A58B5C0159138257C564E8D7EE03B30FB907170A26353CBC62A82FE1D38A2FD9D8
tar:gnameroot
tar:unameroot
Key Value
FileName./usr/lib/python3.9/site-packages/xarray/core/__pycache__/missing.cpython-39.pyc
FileSize21036
MD5C9757229BC75A794DE7414C20D4ED90E
SHA-1027AC52C2B8C5C8163FDCFD38F4AD7BC743EED0D
SHA-2567D0ACF74FE6090A5C8F5E93014A4CE91A5E51E84BE5B2DA2946C4C500F6F0251
SSDEEP384:Zj7VxySf9mcmiXR6AcumZdP8/HgXKoDVaEDXG7gw8b8PqYbW3:Z7jRMcrh6lZFVbni7J8gI
TLSHT164922AC4E4060D56FCBDF3F66D0D4646AB2080AB6382956BB44DA0762FC7184DBBD7B8
Key Value
FileName./usr/lib/python3.9/site-packages/xarray/core/__pycache__/merge.cpython-39.pyc
FileSize26212
MD51C6D11B78D233135D149346210D5D84E
SHA-102FEEDAA7CFDEEAC90DECCDAA77C9CA583A39B25
SHA-256212013FC04678A1AE4C2AFD5C9CC0967E987F7984A3ACADB55D24475357FEA80
SSDEEP384:GiiwN7wNgKB05b3ka4OrVD0DP6WwFzzbWJg42gYcWixbbeuOSz+CU:GBwSNNiV3kafIP6WwJkbeuM
TLSHT15FC21A4225806E3AF9D6F0FA421E5449EF95929B33497D10B0CEC6381F4656CE13DAEF
Key Value
FileName./usr/lib/python3.9/site-packages/xarray/tests/__pycache__/test_nputils.cpython-39.opt-1.pyc
FileSize2021
MD55D19EAD6D2DDCA2B53EA458C0AE26E49
SHA-1030A428D11C577F263E954BDB0FF2D74CD3A9930
SHA-256D2A61F285E2A80420E9F24C98ADC7007793B02681C5B93D825056C2E90B415D7
SSDEEP48:QfrUG6JTyPoKe0ShC6ZS1EowtwXgIylqgK6RNQN5:rG22TGs6Zt+Yq76R8
TLSHT1FF41208C74071EAFF618F1B8401F17313668D2D97F29E146F7085A3A8D662460F14D8D
Key Value
FileName./usr/lib/python3.9/site-packages/xarray/tests/test_accessor_dt.py
FileSize16427
MD5FBE7860ABFA060AF42E592C962957D43
SHA-104A2CD031D70ED1CB506A1F3C1E2479AAAD00FE8
SHA-2562220619A6EDE8B90D2A07F7F08F28DB3D9678B73C546CFDF5F4C3958CC43702C
SSDEEP384:GJ4PWRXt0rrPW+jJLxjJLCvRbir8XjGwjJLsjJLKPpaipm4EpVrXMYDW:78g/d9dYRbzGwdgdP4Irw
TLSHT1757243866249091913C3E1B48D7AE5C27731E413AD1839D1BB9D58C46F0CE3EF17AABD
Key Value
FileName./usr/lib/python3.9/site-packages/xarray/core/__pycache__/indexing.cpython-39.pyc
FileSize44646
MD523017A7A4457264BA95362ACFE14081B
SHA-1054EC5803DB643846C3F136EBABC41E4AD0263ED
SHA-2568531705590AA3035872836C972737AEED814D102467F5C4557F33933BE4BDC09
SSDEEP768:tWtG4ai/j2EQD7Jia0CNNiLljH1IJ81KdsSwr/cav68jxoQ1M0:It0fEQD7Jr0ckrw5wrBigoUD
TLSHT12613D6A65E814E7EFC26F1FC840A0E55DB27827B82084442710F85EE1FD7ED9697C3A9
Key Value
FileName./usr/lib/python3.9/site-packages/xarray/tests/__pycache__/test_backends_lru_cache.cpython-39.opt-1.pyc
FileSize1959
MD576AA60EDCD7130B17A0F2EFBCD826A90
SHA-10573C49DAF4691E2D8A3C0BEE8825B1A783434D5
SHA-2560E18D07C215D1CE05E701EC8C8E0DC103DDC033384F9D0CBD92FC3A8510D0810
SSDEEP48:Q1YgrUy7/bQHR/e6I6i2gj4ubMXbsVCcI6bjNEg10WMZXIeWi:F7yw/eh2gj4ubpV1b6gaWZk
TLSHT19841DDD63E4B1C6EFEA5F278C17623316534D37366C99D17A604A86F2D483E40CB1A48
Key Value
FileName./usr/lib/python3.9/site-packages/xarray/tests/__pycache__/test_backends_file_manager.cpython-39.opt-1.pyc
FileSize5587
MD52A9D515E017C3CFFFF68A5D953D106B3
SHA-106AB4256EC3D66394687DCE19E39452B41FD149C
SHA-2566695D36F666CA009C5F62DCB7D29A67DF7EEC977E9E6EBF8857526999EEB5F63
SSDEEP96:msQ2BdxZoRQ2RHNhnq1VAq1dq+71nEFpquBnqqgQ+Aewq4RtSbq5dzq+ujqqDCdX:ZndxZ8Q2RHNBqDAq1dq+71nEFpqonqqh
TLSHT1B2B198E7726B5D9AFE7DF2FD50DB0721911EC22B57C891025810B84B6F833D908E68C8