Showing 12 of 12 total issues
File L2NormCurvature.py
has 500 lines of code (exceeds 250 allowed). Consider refactoring. Open
#!/usr/bin/env python
# coding: utf-8
import copy
import datetime
Function L2_norm_sectional_curvature
has 9 arguments (exceeds 4 allowed). Consider refactoring. Open
def L2_norm_sectional_curvature(
Function compute_curvature_tensor
has a Cognitive Complexity of 10 (exceeds 5 allowed). Consider refactoring. Open
def compute_curvature_tensor(g, dg, ddg):
# Index 0: Upper index
# Index 1, 2, 3: Lower indices
# R[l,i,j,k] = R^l_{ijk} = dx^l(R(ei,ej)ek)
n = g.shape[0]
- Read upRead up
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 create_curve
has 6 arguments (exceeds 4 allowed). Consider refactoring. Open
def create_curve(
Function get_curvature_function
has 6 arguments (exceeds 4 allowed). Consider refactoring. Open
def get_curvature_function(curvature_types, args, n, t_min=-1, t_max=1, t_step=0.01):
Function compute_knn_point_derivatives
has 5 arguments (exceeds 4 allowed). Consider refactoring. Open
def compute_knn_point_derivatives(X, Y, i, n_neighbors, distance_matrix):
Function compute_grid_norm
has 5 arguments (exceeds 4 allowed). Consider refactoring. Open
def compute_grid_norm(X, R_sq, grid_n_samples, offset=2, verbose=False):
Function estimate_sectional_curvature
has 5 arguments (exceeds 4 allowed). Consider refactoring. Open
def estimate_sectional_curvature(
Function get_riemannian_metric
has a Cognitive Complexity of 7 (exceeds 5 allowed). Consider refactoring. Open
def get_riemannian_metric(X, Y, n_neighbors, distance_matrix):
g = []
dim = X.shape[1]
for i in range(X.shape[0]):
stop = False
- Read upRead up
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 get_partial_derivative_indices
has a Cognitive Complexity of 6 (exceeds 5 allowed). Consider refactoring. Open
def get_partial_derivative_indices(variables, order=2):
"""
Gets indices for partial derivatives w.r.t each variable.
:param variables: number of variables (number of partial derivatives per order)
:param order: max. order of derivation.
- Read upRead up
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 compute_first_christoffel_symbols
has a Cognitive Complexity of 6 (exceeds 5 allowed). Consider refactoring. Open
def compute_first_christoffel_symbols(dg, n):
CS_first = np.zeros((n, n, n))
for i in range(n):
for j in range(n):
for k in range(n):
- Read upRead up
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 compute_partial_derivative_first_christoffel_symbols
has a Cognitive Complexity of 6 (exceeds 5 allowed). Consider refactoring. Open
def compute_partial_derivative_first_christoffel_symbols(ddg, l, n):
CS_first_diff = np.zeros((n, n, n))
for i in range(n):
for j in range(n):
for k in range(n):
- Read upRead up
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"