Result for 4963EE88623BEF3026013D94872D1656384CBF4B

Query result

Key Value
FileName./usr/share/coz-profiler/viewer/package-lock.json
FileSize1259
MD5EB50E213A314076E6AB2410061343665
SHA-14963EE88623BEF3026013D94872D1656384CBF4B
SHA-256FF15154C5DF4BF354A91180D1CEA8F3A0F8004F88524FD9B802CF7BF817D6D83
SSDEEP24:z1j4g91XKSZY6LmHl/E1GSJQnxUaaJ1w0gSE89moWK16SvCccHG:p8gHXKSZYHHl/kGSgxa7wNSwoZ6SKpG
TLSHT16221DC54CE64ACF352651868C8A56112F2568C1B2C903E5EB7CC457D8FB83FE32BA74C
hashlookup:parent-total11
hashlookup:trust100

Network graph view

Parents (Total: 11)

The searched file hash is included in 11 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
FileSize651776
MD5123AEE14971CB89FAA07B175DFB90F0F
PackageDescriptionFinding Code that Counts with Causal Profiling Coz is a code profiler that find optimization opportunities missed by traditional profilers. Coz employs a technique called causal profiling that measures optimization potential. This measurement matches developers' assumptions about profilers: that optimizing highly-ranked code will have the greatest impact on performance. Causal profiling measures optimization potential for serial, parallel, and asynchronous programs without instrumentation of special handling for library calls and concurrency primitives. Instead, a causal profiler uses performance experiments to predict the effect of optimizations. This allows the profiler to establish causality: "optimizing function X will have effect Y," exactly the measurement developers had assumed they were getting all along.
PackageMaintainerLluís Vilanova <llvilanovag@gmail.com>
PackageNamecoz-profiler
PackageSectiondevel
PackageVersion0.2.2-2
SHA-15F2AC2A4A0DB6604B891923D5A1A3E361E1B328F
SHA-25693FC6A67F9BD37E5AF61A60B743B3EFF66F33F08F5186232FD162F4542A043AA
Key Value
FileSize656920
MD597EF7D8E9F9801D796A5FBE0236B5910
PackageDescriptionFinding Code that Counts with Causal Profiling Coz is a code profiler that find optimization opportunities missed by traditional profilers. Coz employs a technique called causal profiling that measures optimization potential. This measurement matches developers' assumptions about profilers: that optimizing highly-ranked code will have the greatest impact on performance. Causal profiling measures optimization potential for serial, parallel, and asynchronous programs without instrumentation of special handling for library calls and concurrency primitives. Instead, a causal profiler uses performance experiments to predict the effect of optimizations. This allows the profiler to establish causality: "optimizing function X will have effect Y," exactly the measurement developers had assumed they were getting all along.
PackageMaintainerLluís Vilanova <llvilanovag@gmail.com>
PackageNamecoz-profiler
PackageSectiondevel
PackageVersion0.2.2-2
SHA-12ECD37B6E873A715D32AC2E28A4F2239CAA1D2D2
SHA-2563C06E5F5A38A19FB6893D08DD3127EF2E6B22B426800BD8100AE91E7CC7BF6F7
Key Value
FileSize652960
MD5D68A2C5724F5E9284A62FD4015DAED95
PackageDescriptionFinding Code that Counts with Causal Profiling Coz is a code profiler that find optimization opportunities missed by traditional profilers. Coz employs a technique called causal profiling that measures optimization potential. This measurement matches developers' assumptions about profilers: that optimizing highly-ranked code will have the greatest impact on performance. Causal profiling measures optimization potential for serial, parallel, and asynchronous programs without instrumentation of special handling for library calls and concurrency primitives. Instead, a causal profiler uses performance experiments to predict the effect of optimizations. This allows the profiler to establish causality: "optimizing function X will have effect Y," exactly the measurement developers had assumed they were getting all along.
PackageMaintainerLluís Vilanova <llvilanovag@gmail.com>
PackageNamecoz-profiler
PackageSectiondevel
PackageVersion0.2.2-2
SHA-1090D595A7D44A576F83143FABF566783A550AAC1
SHA-256AB8D2A2BF8F90AA5FDF88AECD8BF1F0A8E72E7AE32777E32235EC6769B17A262
Key Value
FileSize653632
MD5F09F924467590CB4A06A3F98223FF35F
PackageDescriptionFinding Code that Counts with Causal Profiling Coz is a code profiler that find optimization opportunities missed by traditional profilers. Coz employs a technique called causal profiling that measures optimization potential. This measurement matches developers' assumptions about profilers: that optimizing highly-ranked code will have the greatest impact on performance. Causal profiling measures optimization potential for serial, parallel, and asynchronous programs without instrumentation of special handling for library calls and concurrency primitives. Instead, a causal profiler uses performance experiments to predict the effect of optimizations. This allows the profiler to establish causality: "optimizing function X will have effect Y," exactly the measurement developers had assumed they were getting all along.
PackageMaintainerLluís Vilanova <llvilanovag@gmail.com>
PackageNamecoz-profiler
PackageSectiondevel
PackageVersion0.2.2-2
SHA-1CC1FCE1EDF0F495A1BAA56D5D7A3C9B559BD31D3
SHA-25665F32ACA37F7535EF1937BF138787B6F816AA5F2C151F50441FBB3E066CE23B0
Key Value
FileSize658636
MD5731DF5A674E42472654B24BC7CAB5C01
PackageDescriptionFinding Code that Counts with Causal Profiling Coz is a code profiler that find optimization opportunities missed by traditional profilers. Coz employs a technique called causal profiling that measures optimization potential. This measurement matches developers' assumptions about profilers: that optimizing highly-ranked code will have the greatest impact on performance. Causal profiling measures optimization potential for serial, parallel, and asynchronous programs without instrumentation of special handling for library calls and concurrency primitives. Instead, a causal profiler uses performance experiments to predict the effect of optimizations. This allows the profiler to establish causality: "optimizing function X will have effect Y," exactly the measurement developers had assumed they were getting all along.
PackageMaintainerLluís Vilanova <llvilanovag@gmail.com>
PackageNamecoz-profiler
PackageSectiondevel
PackageVersion0.2.2-2
SHA-1ECB675C82D8235623887E49B0B9A89125DA20285
SHA-25615868938279D7A242A40924C43FD95B6D8CF398CDB8C885632C83DA97F1F06F2
Key Value
FileSize659860
MD5BC33B7DAE446A3570DC73AAEAF0738A4
PackageDescriptionFinding Code that Counts with Causal Profiling Coz is a code profiler that find optimization opportunities missed by traditional profilers. Coz employs a technique called causal profiling that measures optimization potential. This measurement matches developers' assumptions about profilers: that optimizing highly-ranked code will have the greatest impact on performance. Causal profiling measures optimization potential for serial, parallel, and asynchronous programs without instrumentation of special handling for library calls and concurrency primitives. Instead, a causal profiler uses performance experiments to predict the effect of optimizations. This allows the profiler to establish causality: "optimizing function X will have effect Y," exactly the measurement developers had assumed they were getting all along.
PackageMaintainerLluís Vilanova <llvilanovag@gmail.com>
PackageNamecoz-profiler
PackageSectiondevel
PackageVersion0.2.2-2
SHA-1F4C93A36E03B14A3755D3BDBEC761271DFD5F907
SHA-256B348781F2ADB1F78A9E4DB3E8098927A475F4A7316636268B68CF6C9DC07E824
Key Value
FileSize652400
MD57A86FE429308F51DFB6354474C6643AB
PackageDescriptionFinding Code that Counts with Causal Profiling Coz is a code profiler that find optimization opportunities missed by traditional profilers. Coz employs a technique called causal profiling that measures optimization potential. This measurement matches developers' assumptions about profilers: that optimizing highly-ranked code will have the greatest impact on performance. Causal profiling measures optimization potential for serial, parallel, and asynchronous programs without instrumentation of special handling for library calls and concurrency primitives. Instead, a causal profiler uses performance experiments to predict the effect of optimizations. This allows the profiler to establish causality: "optimizing function X will have effect Y," exactly the measurement developers had assumed they were getting all along.
PackageMaintainerLluís Vilanova <llvilanovag@gmail.com>
PackageNamecoz-profiler
PackageSectiondevel
PackageVersion0.2.2-2
SHA-1740F90C84FA80EB6875D97F66F25C7B15742B8F1
SHA-256EBAB04BF5E37A99103FD030504069329E6E4511424BC0811C1341B9FCBDFE6D2
Key Value
FileSize657952
MD54C4AD79B5F5EF80DF824C261E4AF68FD
PackageDescriptionFinding Code that Counts with Causal Profiling Coz is a code profiler that find optimization opportunities missed by traditional profilers. Coz employs a technique called causal profiling that measures optimization potential. This measurement matches developers' assumptions about profilers: that optimizing highly-ranked code will have the greatest impact on performance. Causal profiling measures optimization potential for serial, parallel, and asynchronous programs without instrumentation of special handling for library calls and concurrency primitives. Instead, a causal profiler uses performance experiments to predict the effect of optimizations. This allows the profiler to establish causality: "optimizing function X will have effect Y," exactly the measurement developers had assumed they were getting all along.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamecoz-profiler
PackageSectiondevel
PackageVersion0.2.2-2
SHA-18CAC00A7ACC95413933DAD9EC9764CB7EF228DE0
SHA-256D3FAF888DB260E810828C02551E59CD017A636825544A597431928D3DF555B28
Key Value
FileSize657804
MD59D4D2E3C3AC958C9EF7BA16506FF209A
PackageDescriptionFinding Code that Counts with Causal Profiling Coz is a code profiler that find optimization opportunities missed by traditional profilers. Coz employs a technique called causal profiling that measures optimization potential. This measurement matches developers' assumptions about profilers: that optimizing highly-ranked code will have the greatest impact on performance. Causal profiling measures optimization potential for serial, parallel, and asynchronous programs without instrumentation of special handling for library calls and concurrency primitives. Instead, a causal profiler uses performance experiments to predict the effect of optimizations. This allows the profiler to establish causality: "optimizing function X will have effect Y," exactly the measurement developers had assumed they were getting all along.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamecoz-profiler
PackageSectiondevel
PackageVersion0.2.2-1
SHA-1A50B1BF7C5A80CADBB698646899CDCA80AF794AA
SHA-2567E1AD7DD6E7582A9FCFD0D3AB3813FA9145CE39FB4341D0D3DEA4AF42F240713
Key Value
FileSize653176
MD5721D35F3B6DAB614F191AC16F5D10F7A
PackageDescriptionFinding Code that Counts with Causal Profiling Coz is a code profiler that find optimization opportunities missed by traditional profilers. Coz employs a technique called causal profiling that measures optimization potential. This measurement matches developers' assumptions about profilers: that optimizing highly-ranked code will have the greatest impact on performance. Causal profiling measures optimization potential for serial, parallel, and asynchronous programs without instrumentation of special handling for library calls and concurrency primitives. Instead, a causal profiler uses performance experiments to predict the effect of optimizations. This allows the profiler to establish causality: "optimizing function X will have effect Y," exactly the measurement developers had assumed they were getting all along.
PackageMaintainerLluís Vilanova <llvilanovag@gmail.com>
PackageNamecoz-profiler
PackageSectiondevel
PackageVersion0.2.2-2
SHA-1BED44B791722500528A414DD4CC82930C11698B1
SHA-2563B18EC47145954B3FB33A7F755574D8F3D0712AF1EF32FA83E183F5C173B7D17
Key Value
FileSize653812
MD5349DB614A6134E583E4453AA227AF66A
PackageDescriptionFinding Code that Counts with Causal Profiling Coz is a code profiler that find optimization opportunities missed by traditional profilers. Coz employs a technique called causal profiling that measures optimization potential. This measurement matches developers' assumptions about profilers: that optimizing highly-ranked code will have the greatest impact on performance. Causal profiling measures optimization potential for serial, parallel, and asynchronous programs without instrumentation of special handling for library calls and concurrency primitives. Instead, a causal profiler uses performance experiments to predict the effect of optimizations. This allows the profiler to establish causality: "optimizing function X will have effect Y," exactly the measurement developers had assumed they were getting all along.
PackageMaintainerLluís Vilanova <llvilanovag@gmail.com>
PackageNamecoz-profiler
PackageSectiondevel
PackageVersion0.2.2-2
SHA-1B1A9C84D91B79E5DBFDF8D2A6B9FF5B70E80ADD8
SHA-2565E4805EF08BCBF5CF1BAA8E9E6AAC95300DB8C790E31D430E9C99C94E8EAB993