| Key | Value |
|---|---|
| FileName | ./usr/share/doc/python3-pyswarms/html/history.html |
| FileSize | 28948 |
| MD5 | C99DDF4B176E5E8C620BF5F0F66C9AEB |
| SHA-1 | 0D67580B018B8C9F63BA1887E89713C174EDC114 |
| SHA-256 | F6C1A469CC76498D31830B380D1C597C9581342465A31AE10DD1B3FCCF63E13E |
| SSDEEP | 384:P0DfTgqlEhr7EQEQxEySp1N22Ya4d8SSvh7bqLIcYxeowc4igDN00Yk:8DbIr3SpfZ4SdHqcwnW0Yk |
| TLSH | T141D222B304D8257B4F0316C95A99273EB2A74C5BF6160D52B2FD436A2B12FB14B2760F |
| hashlookup:parent-total | 2 |
| hashlookup:trust | 60 |
The searched file hash is included in 2 parent files which include package known and seen by metalookup. A sample is included below:
| Key | Value |
|---|---|
| FileSize | 5736592 |
| MD5 | 7B8DE1B1EE41501A74620697E856B9AA |
| PackageDescription | documentation and examples for PySwarms PySwarms is an extensible research toolkit for particle swarm optimization (PSO) in Python. . It is intended for swarm intelligence researchers, practitioners, and students who prefer a high-level declarative interface for implementing PSO in their problems. PySwarms enables basic optimization with PSO and interaction with swarm optimizations. . Features: * High-level module for Particle Swarm Optimization * Built-in objective functions to test optimization algorithms * Plotting environment for cost histories and particle movement * Hyperparameter search tools to optimize swarm behaviour . This package contains the documentation and examples for PySwarms. |
| PackageMaintainer | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
| PackageName | python-pyswarms-doc |
| PackageSection | doc |
| PackageVersion | 1.3.0-1 |
| SHA-1 | 7A2BBD890876AF9606F38B7F02162E47B0996CC8 |
| SHA-256 | 7D45D0D32A71D5AB9DE25CD50001E2FD75C9D669C43077D9E70174892BAEB7D6 |
| Key | Value |
|---|---|
| FileSize | 5741124 |
| MD5 | 70209BE65478F420843B82F16D926A7F |
| PackageDescription | documentation and examples for PySwarms PySwarms is an extensible research toolkit for particle swarm optimization (PSO) in Python. . It is intended for swarm intelligence researchers, practitioners, and students who prefer a high-level declarative interface for implementing PSO in their problems. PySwarms enables basic optimization with PSO and interaction with swarm optimizations. . Features: * High-level module for Particle Swarm Optimization * Built-in objective functions to test optimization algorithms * Plotting environment for cost histories and particle movement * Hyperparameter search tools to optimize swarm behaviour . This package contains the documentation and examples for PySwarms. |
| PackageMaintainer | Debian Science Team <debian-science-maintainers@lists.alioth.debian.org> |
| PackageName | python-pyswarms-doc |
| PackageSection | doc |
| PackageVersion | 1.3.0-1 |
| SHA-1 | B2C5F48F61A2E872A679EF216FFAD20EB7D52140 |
| SHA-256 | A3169281865229D54039CD1318A0EBF514915D4F56C64C6F13293D10BC579EF5 |