Sypy | A symbolic execution engine for Python | Interpreter library
kandi X-RAY | Sypy Summary
kandi X-RAY | Sypy Summary
Sypy: A symbolic execution engine for Python. Sypy leverages PyPy's interpreter to interpret Python bytecode and generate constraints. These constraints are solved using Microsoft's Z3 SMT solver. Currently Sypy generates constraints for if statements involving integer values. While booleans, longs and floats have symbolic support they have not been tested yet. Function evaluation has not been tested yet. Besides, supporting arbitrary functions is probably not a good idea. The most appropriate way would be to determine all possible return values of a function and substitute those values in the constraints. The most important thing to do right now is to interleave symbolic execution code in the binary operations.
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Top functions reviewed by kandi - BETA
- Create a formatting class .
- Create a subclass of timsort .
- Make an array type .
- Create a subclass of BaseStringFormatter .
- Creates a template formatting class .
- Write Unicode table to outfile .
- Match at pos .
- make a jit driver
- Generate tokens .
- Return a status object .
Sypy Key Features
Sypy Examples and Code Snippets
Community Discussions
Trending Discussions on Sypy
QUESTION
I want to use sympy to build a cython callable for evaluating a loss/jacobian/hessian. The loss function (defined as a python function due to lack of latex on SO) is as follows
...ANSWER
Answered 2019-Apr-04 at 14:36I ended up abandoning Sympy as it was more trouble than its worth. If you want to do some automatic differentiation I'd recommend using tensorflow which is what I ended up going with. Below is the script for creating the hessian of the equation (7).
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install Sypy
You can use Sypy like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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