Result for 09FC1B00D5F19D83B82B6457AA6A6977E1DFACBA

Query result

Key	Value
MD5	E7DD21AECA0775BCFD5CF037E8A98548
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	python2-xarray
PackageRelease	lp152.3.4
PackageVersion	0.11.3
SHA-1	09FC1B00D5F19D83B82B6457AA6A6977E1DFACBA
SHA-256	360196281A9100D772F768704656BA1265AFEDBC1BB1A40DFB231574AB1AB642
hashlookup:children-total	273
hashlookup:trust	50

Network graph view

Children (Total: 273)

The searched file hash includes 273 children files known and seen by metalookup. A sample is included below:

Key	Value
FileName	./usr/lib/python2.7/site-packages/xarray/tests/test_ufuncs.pyo
FileSize	8465
MD5	AD35336A72359D521BCCF2CDE6934431
SHA-1	010A4D1C481CB6DAD3622F2FCC428EE2F4FF92FD
SHA-256	EC4F08C6E7F1972ABC638C152E9D10995CCE72990393B466A9E0843FC0899E92
SSDEEP	192:s634HgFtMR8V0zDKEqBFdZuty7ET8JO8L3xFABkg2/W2VY+:s3HgF+GV0zDKEqBFdZuty7K8JO8LhFmI
TLSH	T1DC02C080A3EA899FE1701571F1F01307ED76F13366047791A2ADD9392EE9359D96E3C0

Key	Value
FileName	./usr/lib/python3.6/site-packages/xarray/tests/test_distributed.py
FileSize	7504
MD5	70418C9F4A52D8868925B21260D05DAE
SHA-1	0151587AC5D4D785E552ABC7F76B5A9762A93B28
SHA-256	3E39D854ADC702FBDAF976BE2CCE0174C0A779A7A33AF2F385A64674659F8FE8
SSDEEP	192:YSHDfLbLcLbPo87oMsk7oNJsfw6bVrPVrYj:ig8szksN+fw6a
TLSH	T131F16430D25639708AC3A7FACB6B913761219A2B4A0561F1B1DCC4496F0D729F3BBB34

Key	Value
FileName	./usr/lib/python3.6/site-packages/xarray/coding/strings.py
FileSize	7642
MD5	89600052CE9B1D3CB616FEEB4BD20E10
SHA-1	0376E31F8D6509CE60FAB025628270484B56D491
SHA-256	DCBB8EC284204F837352729349CEE1F1F2E0D844E8AF402C5C5421539D0C4C9E
SSDEEP	192:vRdkr6mfMvMlNl4atiU6krG4ydk+JpMLqZhGd8gFkpRVA:KfMmTiRmG4ydfgqiFcRVA
TLSH	T192F15217DB06659D97C6955840D7EA09F26CBA0B070424FC7CAE77782F24329E1B4BDC

Key	Value
FileName	./usr/lib/python3.6/site-packages/xarray/tests/test_duck_array_ops.py
FileSize	20914
MD5	307F4C08AC2D348C6D5D277FE8A2476D
SHA-1	03F380176267AAE8C279DE9D5AFC6EFB58B0145C
SHA-256	A691BC90E4331BC8791C5BF0450D83F68C1E6BF9093E6E20104F0D762963603A
SSDEEP	384:mvNLcZNhNTEvEUV7NH2TdY246XhavuOTp/MCoN7SL+C1fS6hbfSI+:iNLcZNhNTIxoT22zXhamOtkCWK5FJE
TLSH	T12892A406474A4178578395B9CAB6CD06EB21E917180820E5F4AE8A113F9C77DE33BFBD

Key	Value
FileName	./usr/lib/python3.6/site-packages/xarray/backends/h5netcdf_.py
FileSize	8140
MD5	212B09BE801B37F9FA005545780899D1
SHA-1	04CD497BD4FC939AEF8FFD5F8B1E77896B39D0EB
SHA-256	0C91A4B425C165C825EB8B3B67F3A6B8A7116F50BC8D73E5AAE598CFAD1BFCFF
SSDEEP	96:jaNpYFcGt+0gLlGyJcW8lgCtUb+1lZCrOg0Xvn80jiNOoipFnt/hhvQHCvv9/NwO:qSnWlJmWnCib0Lk0u3iGuJHFH
TLSH	T12FF1432B9751602597D7C4A80EDFE81A933D39136B0C29F8B9BC52611F15B28C5F4AFC

Key	Value
FileName	./usr/lib/python3.6/site-packages/xarray/tests/test_dataset.py
FileSize	184637
MD5	A7B308CB9E29948ECFADEC9368DADD27
SHA-1	0672275855AD14B6BD3F243FA9CEA8A0FE82587C
SHA-256	B4F462DFAD7CCCA7B98F23B9205A73083A583EB7352FF589DFDF1DC4BC1ACAA4
SSDEEP	3072:xhiPUByym/zjXb35sUauiRyUarcI7hhhVrdzarvKgyWolUP/L:PiPUByym/zjXb35sUauiRyUarlhhhVrQ
TLSH	T16404860873AA0834239367BEC6BACC8D5262FA03448554E9B59C85817FCD23DF57B9F9

Key	Value
FileName	./usr/lib/python2.7/site-packages/xarray/core/pycompat.pyo
FileSize	8752
MD5	0051E817AD09A083BCE15F6A67E03DD3
SHA-1	0698FA8953900C6FD16CD42B3CA43F6DF365B57B
SHA-256	07CADB07A4F1BB3C44DF310F1FC9BEED48280FFC9A08E0EFEC37F533A6983971
SSDEEP	192:Kg8y3deRxWuqiqd8NnqMwXfvUMD+tMdRUUFqEW71ncWAi36DzKq1VuMiKcCtX60w:/8OCvSXIsVGfuzbwWLK9
TLSH	T158025240E3AA417FF2A2A27166B0062B9B65F073520177D1796CD83A5FD437AC83EBC5

Key	Value
FileName	./usr/lib/python2.7/site-packages/xarray/tests/test_plot.pyc
FileSize	89709
MD5	45C0FBD7B1ED7B799BBD56CED03C0B11
SHA-1	06C0C829FBEB4C9F841D647DA5EA00C9761AFDD2
SHA-256	9328D6E2F5E25B47430AE14F95DB72C65E9002311BD4674801DC7DBF49681E16
SSDEEP	1536:XZcNQ9eYjJenVGvj71hLYo1IUhBo8yQNHXkrwgnnrxOfmSwHw290s+U4dAbHr7KC:XZcNQ7enVGvjvLYo1IUhBo8JHXngnrdL
TLSH	T15193E181B3D7895BE2A15471A2F02207EDB9F0B37641B74296ACE8752DD43B9CC6D3C4

Key	Value
FileName	./usr/lib/python3.6/site-packages/xarray/coding/cftime_offsets.py
FileSize	26208
MD5	4CF815D346BBBC0050A347423DBF4B2A
SHA-1	073597AEC832E45FC46A88117B12FA8981C1B58C
SHA-256	1D7EE8946D4E225E86B26966094974D0D9CC3D441BE18B6298D2E837CBEC439A
SSDEEP	384:K7UrsErsjtjqAjb6ikbEYVm2DP6MWcm0pZVaYOXVRj7JWv8fc68ZNyT8WkqMNuXY:HnEjqCb6dVm2DhfmpZFRj7JWvaV2
TLSH	T173C28787AD03567183B3C62A88D7D283E739B82F4708752938EC60946F95F3691FD9D8

Key	Value
FileName	./usr/lib/python2.7/site-packages/xarray/tests/__init__.pyo
FileSize	7459
MD5	8287570A60230D549529FA22809B69F9
SHA-1	089F1BBABE7841943F701E19400826D3EDF92456
SHA-256	D44E5DFD7956BA1198E70BFAE9A4FD7F0247E52FC699E5652DE5C2D35B15C152
SSDEEP	96:y56g3O/F1nRo+4E4b6xeTPO+cD6FkPp17at2JxbV3tdruPQXQ6EOo/WVn:y56guRF4EU+eTPOoFkPf7atOxhLSQYWd
TLSH	T1FDF168D1A3F5467BF3A1A6B4C0E00F2B9D27F17361017762F098E4B559CB23E912E159