bionc/bionc_numpy/biomechanical_model_joints.py
Function constraints_jacobian
has a Cognitive Complexity of 7 (exceeds 5 allowed). Consider refactoring. Open
Open
def constraints_jacobian(self, Q: NaturalCoordinates) -> np.ndarray:
"""
This function returns the Jacobian matrix the joint constraints, denoted K_k
as a function of the natural coordinates Q.
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Cognitive Complexity
Cognitive Complexity is a measure of how difficult a unit of code is to intuitively understand. Unlike Cyclomatic Complexity, which determines how difficult your code will be to test, Cognitive Complexity tells you how difficult your code will be to read and comprehend.
A method's cognitive complexity is based on a few simple rules:
- Code is not considered more complex when it uses shorthand that the language provides for collapsing multiple statements into one
- Code is considered more complex for each "break in the linear flow of the code"
- Code is considered more complex when "flow breaking structures are nested"
Further reading
Function constraints_jacobian_derivative
has a Cognitive Complexity of 7 (exceeds 5 allowed). Consider refactoring. Open
Open
def constraints_jacobian_derivative(self, Qdot: NaturalVelocities) -> np.ndarray:
"""
This function returns the derivative of the Jacobian matrix of the joint constraints denoted K_k_dot
Parameters
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Cognitive Complexity
Cognitive Complexity is a measure of how difficult a unit of code is to intuitively understand. Unlike Cyclomatic Complexity, which determines how difficult your code will be to test, Cognitive Complexity tells you how difficult your code will be to read and comprehend.
A method's cognitive complexity is based on a few simple rules:
- Code is not considered more complex when it uses shorthand that the language provides for collapsing multiple statements into one
- Code is considered more complex for each "break in the linear flow of the code"
- Code is considered more complex when "flow breaking structures are nested"