Result for 09F387AB8D90D0C165931CDDFE5CCB9DAFDB1863

Query result

Key Value
FileName./usr/lib/python3.9/site-packages/cachey/__pycache__/cache.cpython-39.pyc
FileSize5680
MD596E8D013EF88B17555DFB76E38958DAC
SHA-109F387AB8D90D0C165931CDDFE5CCB9DAFDB1863
SHA-25659B13AF536E8F3F508FFE82B785F784F6B9DBE77619FA5FD09536F622758EFB1
SSDEEP96:hdBp6P5e9b3kgYN9+z1/1q+orhcEaye9WWZjfd8o2TWwvdv1hG:fBp+5e9DkRge+K7aFWWxf/lIBXG
TLSHT1A2C1A5E157C0A995FEB2F1F5500F8225D37AD237630CA146784ED07C1F4A2A84DB999C
hashlookup:parent-total7
hashlookup:trust85

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Parents (Total: 7)

The searched file hash is included in 7 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD59CEC1A7442D14E5AA54C43BEF1CFFAEF
PackageArchnoarch
PackageDescriptionCachey tries to hold on to values that have the following characteristics 1. Expensive to recompute (in seconds) 2. Cheap to store (in bytes) 3. Frequently used 4. Recenty used It accomplishes this by adding the following to each items score on each access score += compute_time / num_bytes * (1 + eps) ** tick_time For some small value of epsilon (which determines the memory halflife). This has units of inverse bandwidth, has exponential decay of old results and roughly linear amplification of repeated results.
PackageNamepython39-cachey
PackageRelease8.12
PackageVersion0.2.1
SHA-1C263AECEDE4D3AA122C34081A45A8B732415E21A
SHA-256E8BA704441956B594409BDB960ABFF58543B8C57A78EBBAB2835EAF371E0D4AB
Key Value
MD58CA61F07B066AD47B8B9C7A8918C0DA6
PackageArchnoarch
PackageDescriptionCachey tries to hold on to values that have the following characteristics 1. Expensive to recompute (in seconds) 2. Cheap to store (in bytes) 3. Frequently used 4. Recenty used It accomplishes this by adding the following to each items score on each access score += compute_time / num_bytes * (1 + eps) ** tick_time For some small value of epsilon (which determines the memory halflife). This has units of inverse bandwidth, has exponential decay of old results and roughly linear amplification of repeated results.
PackageNamepython39-cachey
PackageRelease8.18
PackageVersion0.2.1
SHA-1A9488EDB269B5C580E40DBB078EB559F2B1F84D3
SHA-256801FF85E4A9C7473F756009755A593C264D196AAA0DCB35B226EAD2C9FAC04CC
Key Value
MD55CFD09C4891E1DB61B48997D38836CBD
PackageArchnoarch
PackageDescriptionCachey tries to hold on to values that have the following characteristics 1. Expensive to recompute (in seconds) 2. Cheap to store (in bytes) 3. Frequently used 4. Recenty used It accomplishes this by adding the following to each items score on each access score += compute_time / num_bytes * (1 + eps) ** tick_time For some small value of epsilon (which determines the memory halflife). This has units of inverse bandwidth, has exponential decay of old results and roughly linear amplification of repeated results.
PackageNamepython39-cachey
PackageRelease8.13
PackageVersion0.2.1
SHA-1A33E84A08C17FB638416E13F3CF34EE4737D9CD4
SHA-256333645D40A9BAE55EA0FCBB480AB50BEAE6E538F01650E942D5468B3C3152A22
Key Value
MD52456FDC8EC1F4D5A2E04922E609AA22D
PackageArchnoarch
PackageDescriptionCachey tries to hold on to values that have the following characteristics 1. Expensive to recompute (in seconds) 2. Cheap to store (in bytes) 3. Frequently used 4. Recenty used It accomplishes this by adding the following to each items score on each access score += compute_time / num_bytes * (1 + eps) ** tick_time For some small value of epsilon (which determines the memory halflife). This has units of inverse bandwidth, has exponential decay of old results and roughly linear amplification of repeated results.
PackageNamepython39-cachey
PackageRelease8.16
PackageVersion0.2.1
SHA-16D5B301B5A90C4D7DBAFA817B8D90CD6856DDEDE
SHA-256BF8350F1C5C1FD970C4E62882F3341A6B04C8DB5F9A3F5938B98BD874D3FCF33
Key Value
MD51AE04F9A96EAD5FA2A2DD48BCEB2F716
PackageArchnoarch
PackageDescriptionCachey tries to hold on to values that have the following characteristics 1. Expensive to recompute (in seconds) 2. Cheap to store (in bytes) 3. Frequently used 4. Recenty used It accomplishes this by adding the following to each items score on each access score += compute_time / num_bytes * (1 + eps) ** tick_time For some small value of epsilon (which determines the memory halflife). This has units of inverse bandwidth, has exponential decay of old results and roughly linear amplification of repeated results.
PackageMaintainerhttps://bugs.opensuse.org
PackageNamepython39-cachey
PackageRelease1.8
PackageVersion0.2.1
SHA-126CBECA3128CB375ECA77A41E27FC02468B9EE84
SHA-256156DD38CD6B9FD8B052C4916B10774278938A929235B612E8CE3367F675FE874
Key Value
MD51E4F48139FE8CBF73F037D6D93D3DE12
PackageArchnoarch
PackageDescriptionCachey tries to hold on to values that have the following characteristics 1. Expensive to recompute (in seconds) 2. Cheap to store (in bytes) 3. Frequently used 4. Recenty used It accomplishes this by adding the following to each items score on each access score += compute_time / num_bytes * (1 + eps) ** tick_time For some small value of epsilon (which determines the memory halflife). This has units of inverse bandwidth, has exponential decay of old results and roughly linear amplification of repeated results.
PackageNamepython39-cachey
PackageRelease8.28
PackageVersion0.2.1
SHA-13657A8E678E6D0BBEAC96A2D48314555A2FBAE4C
SHA-256EA5804E2217D57C88D66E1E3027FED1D90753091755E888F3437BC8E914E0D7A
Key Value
MD5E2D15F79156EF7F3D77F98D985E296FA
PackageArchnoarch
PackageDescriptionCachey tries to hold on to values that have the following characteristics 1. Expensive to recompute (in seconds) 2. Cheap to store (in bytes) 3. Frequently used 4. Recenty used It accomplishes this by adding the following to each items score on each access score += compute_time / num_bytes * (1 + eps) ** tick_time For some small value of epsilon (which determines the memory halflife). This has units of inverse bandwidth, has exponential decay of old results and roughly linear amplification of repeated results.
PackageNamepython39-cachey
PackageRelease1.4
PackageVersion0.2.1
SHA-17F8C620633F4AD39AB55D178DCB2BCAFF100DD48
SHA-2560C2BAF74F323AB6FEC954274474E9FFD284A905F1DA37A0EF8D919F5DBC1B837