| Key | Value |
|---|---|
| FileName | snap-hashlookup-import/lib/python3.5/site-packages/numpy/f2py/tests/test_block_docstring.py |
| FileSize | 568 |
| MD5 | 1D6D8ED6CEC497D9D36A84BA45C0B08F |
| RDS:package_id | 222721 |
| SHA-1 | 1A9ADBEA56F02B14009F71D0E0AECDE0337C4559 |
| SHA-256 | 95B46714419EB1E43E58FF60AC2F18E09EB12AEF8DC20A74FDF495B989F5F47C |
| SHA-512 | 804F9E367C4612D39606188E3B930151222B3BB9B9350CF499757DDAC1EF5C7055B43D8FA7FAD5E01E62DD2448A141795EA83EE723D347F701E8523F1FC6CA9B |
| SSDEEP | 12:1RjK45AkRo3OAbBuVLWTjrNMz64xJhcmXPlhfGtMNcmVY6n:1RH+YgsVLWTjrcsKhudmVXn |
| TLSH | T1CBF0C02680370E10976FA0E494CE903243365B179B26049DB8BF42759F4902D9AC187C |
| insert-timestamp | 1762451436.7544215 |
| mimetype | text/x-python |
| source | snap:UXtarunTOMdX6KuVJXcYFrsrsojJ3LH0_3 |
| hashlookup:parent-total | 35 |
| hashlookup:trust | 100 |
The searched file hash is included in 35 parent files which include package known and seen by metalookup. A sample is included below:
| Key | Value |
|---|---|
| SHA-1 | 0265167C71D611D4025F842F2EDE7CBAA0AA8A89 |
| snap-authority | canonical |
| snap-filename | EE5GWu02z0YpTc00nobuYaTnsYOWA7ZQ_4.snap |
| snap-id | EE5GWu02z0YpTc00nobuYaTnsYOWA7ZQ_4 |
| snap-name | epitopepredict |
| snap-publisher-id | wKNkmne29sQR93F3D0N6GFAFqfyv9hpz |
| snap-signkey | BWDEoaqyr25nF5SNCvEv2v7QnM9QsfCc0PBMYD_i2NGSQ32EF2d4D0hqUel3m8ul |
| snap-timestamp | 2017-09-18T21:52:25.816561Z |
| source-url | https://api.snapcraft.io/api/v1/snaps/download/EE5GWu02z0YpTc00nobuYaTnsYOWA7ZQ_4.snap |
| Key | Value |
|---|---|
| MD5 | 9DCBC811353AEEE41701E84EBE94EC8D |
| PackageArch | i586 |
| PackageDescription | This package includes a version of f2py that works properly with NumPy. |
| PackageMaintainer | daviddavid <daviddavid> |
| PackageName | python2-numpy-f2py |
| PackageRelease | 1.mga7 |
| PackageVersion | 1.16.2 |
| SHA-1 | 05E6B7C351E5C2E42F296BD2721368BED3BEE689 |
| SHA-256 | 54746074243523EF3B375325F9733F9D4D9F511AD0F2A585B1FE85B8FF7FAF51 |
| Key | Value |
|---|---|
| MD5 | 641F4FF8CB65C0D865FD3B5BEFB3B67A |
| PackageArch | armv7hl |
| PackageDescription | This package includes a version of f2py that works properly with NumPy. |
| PackageMaintainer | daviddavid <daviddavid> |
| PackageName | python2-numpy-f2py |
| PackageRelease | 1.mga7 |
| PackageVersion | 1.16.3 |
| SHA-1 | 0ED90985A0F158C1007051F66113D90EE7F96F7A |
| SHA-256 | 8244A68788DD3D9B2985609D341F8630D1C2784AD6A0A793DA014C0EE30C9B0E |
| Key | Value |
|---|---|
| MD5 | CB00EDE017D35BFF982EC6A91C2D6226 |
| PackageArch | x86_64 |
| PackageDescription | NumPy is a general-purpose array-processing package designed to efficiently manipulate large multi-dimensional arrays of arbitrary records without sacrificing too much speed for small multi-dimensional arrays. NumPy is built on the Numeric code base and adds features introduced by numarray as well as an extended C-API and the ability to create arrays of arbitrary type which also makes NumPy suitable for interfacing with general-purpose data-base applications. There are also basic facilities for discrete fourier transform, basic linear algebra and random number generation. |
| PackageName | python3-numpy |
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| SHA-256 | 49F0AA42EDA2010E5B5797FD18C04A083E7F48DAA0B4AFCC3571D508911CE0C7 |
| Key | Value |
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| MD5 | 5D4FBB8EBE0CA9E30C7B16D62E796014 |
| PackageArch | i586 |
| PackageDescription | This package includes a version of f2py that works properly with NumPy. |
| PackageMaintainer | daviddavid <daviddavid> |
| PackageName | python3-numpy-f2py |
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| Key | Value |
|---|---|
| MD5 | B08BD4C77D96A24FB679144E9209C25C |
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| PackageDescription | This package includes a version of f2py that works properly with NumPy. |
| PackageMaintainer | daviddavid <daviddavid> |
| PackageName | python2-numpy-f2py |
| PackageRelease | 1.mga7 |
| PackageVersion | 1.16.2 |
| SHA-1 | 2699D251F9C43B9177931349B67CEA4783AD4A6E |
| SHA-256 | D3F4CFE9C1342FC09E291912AFD19A8EEF22FE444DD645DB289269FD9871D8AD |
| Key | Value |
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| Key | Value |
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| PackageDescription | NumPy is a general-purpose array-processing package designed to efficiently manipulate large multi-dimensional arrays of arbitrary records without sacrificing too much speed for small multi-dimensional arrays. NumPy is built on the Numeric code base and adds features introduced by numarray as well as an extended C-API and the ability to create arrays of arbitrary type which also makes NumPy suitable for interfacing with general-purpose data-base applications. There are also basic facilities for discrete fourier transform, basic linear algebra and random number generation. |
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