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| FileSize | 9318772 |
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| PackageDescription | Distributed Evolutionary Algorithms in Python (docs) DEAP is a novel evolutionary computation framework for rapid prototyping and testing of ideas. It seeks to make algorithms explicit and data structures transparent. It works in perfect harmony with parallelisation mechanism such as multiprocessing and SCOOP. . This package contains the documentation. |
| PackageMaintainer | Miriam Ruiz <miriam@debian.org> |
| PackageName | deap-doc |
| PackageSection | doc |
| PackageVersion | 1.3.1-3 |
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| hashlookup:children-total | 276 |
| hashlookup:trust | 50 |
The searched file hash includes 276 children files known and seen by metalookup. A sample is included below:
| Key | Value |
|---|---|
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| Key | Value |
|---|---|
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| insert-timestamp | 1679424968.1684163 |
| source | RDS.db |
| Key | Value |
|---|---|
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| Key | Value |
|---|---|
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| Key | Value |
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| Key | Value |
|---|---|
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| source | RDS.db |
| Key | Value |
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| source | RDS.db |
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| Key | Value |
|---|---|
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