genevo | Execute genetic algorithm simulations | Machine Learning library
kandi X-RAY | genevo Summary
kandi X-RAY | genevo Summary
genevo provides building blocks to run simulations of optimization and search problems using genetic algorithms (GA). The vision for genevo is to be a flexible and greatly extensible framework for implementing genetic algorithm applications. genevo is written in Rust. The library's API utilizes lots of traits and types for modelling the domain of genetic algorithms.
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QUESTION
I have a simple C code which takes some number and returns a string.
...ANSWER
Answered 2021-Dec-07 at 07:16CFUNCTYPE
is not being called with correct parameters. See Function Prototypes in the ctypes documentation (excerpt):
Function prototypes created by these factory functions can be instantiated in different ways, depending on the type and number of the parameters in the call:
prototype(address)
Returns a foreign function at the specified address which must be an integer.prototype(callable)
Create a C callable function (a callback function) from a Python callable.prototype(func_spec[, paramflags])
Returns a foreign function exported by a shared library. func_spec must be a 2-tuple (name_or_ordinal, library). The first item is the name of the exported function as string, or the ordinal of the exported function as small integer. The second item is the shared library instance.
Use the 3rd version above in this case:
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No vulnerabilities reported
Install genevo
Rust is installed and managed by the rustup tool. Rust has a 6-week rapid release process and supports a great number of platforms, so there are many builds of Rust available at any time. Please refer rust-lang.org for more information.
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