Kev1CO/cocofest

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data_process/force_from_c3d.py

Summary

Maintainability
F
5 days
Test Coverage

Function __init__ has a Cognitive Complexity of 189 (exceeds 5 allowed). Consider refactoring.
Open

    def __init__(
        self,
        c3d_path: str | list[str] = None,
        calibration_matrix_path: str = None,
        for_identification: bool = False,
Severity: Minor
Found in data_process/force_from_c3d.py - About 3 days to fix

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

File force_from_c3d.py has 326 lines of code (exceeds 250 allowed). Consider refactoring.
Open

import numpy as np
import matplotlib.pyplot as plt
from scipy.signal import find_peaks
from copy import deepcopy
import heapq
Severity: Minor
Found in data_process/force_from_c3d.py - About 3 hrs to fix

    Function stimulation_detection has a Cognitive Complexity of 18 (exceeds 5 allowed). Consider refactoring.
    Open

        def stimulation_detection(
            self,
            time,
            stimulation_signal,
            average_time_difference: float = None,
    Severity: Minor
    Found in data_process/force_from_c3d.py - About 2 hrs to fix

    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 set_zero_level has a Cognitive Complexity of 9 (exceeds 5 allowed). Consider refactoring.
    Open

        def set_zero_level(data: np.array, average_length: int = 1000, average_on: list[int, int] = None):
            """
            Set the zero level of the data by averaging the first 1000 points
            :param data: The data to set the zero level
            :param average_length: The number of points to average
    Severity: Minor
    Found in data_process/force_from_c3d.py - About 55 mins to fix

    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

    Avoid deeply nested control flow statements.
    Open

                            for k in range(1, len(time[j])):
                                if counter == 9:
                                    counter = 0
                                else:
                                    remove_list.append(k)
    Severity: Major
    Found in data_process/force_from_c3d.py - About 45 mins to fix

      Avoid deeply nested control flow statements.
      Open

                              for k in range(1, len(sliced_time[j])):
                                  if counter == 9:
                                      counter = 0
                                  else:
                                      remove_list.append(k)
      Severity: Major
      Found in data_process/force_from_c3d.py - About 45 mins to fix

        Avoid deeply nested control flow statements.
        Open

                                for k in range(len(sliced_data)):
                                    remove_list = []
                                    counter = 0
                                    for m in range(1, len(sliced_data[k][j])):
                                        if counter == 9:
        Severity: Major
        Found in data_process/force_from_c3d.py - About 45 mins to fix

          Avoid deeply nested control flow statements.
          Open

                                  if saving_pickle_path_list[:-4] == ".pkl":
                                      save_pickle_path = saving_pickle_path_list[:-4] + "_" + str(i) + ".pkl"
                                  else:
                                      save_pickle_path = saving_pickle_path_list[0] + "_" + str(i) + ".pkl"
                              else:
          Severity: Major
          Found in data_process/force_from_c3d.py - About 45 mins to fix

            Avoid deeply nested control flow statements.
            Open

                                    for k in range(len(peaks)):
                                        plt.plot(time[peaks[k]], filtered_6d_force[0][peaks[k]], "x")
                                    if down_sample:
            Severity: Major
            Found in data_process/force_from_c3d.py - About 45 mins to fix

              Avoid deeply nested control flow statements.
              Open

                                      if down_sample:
                                          for k in range(len(sliced_time)):
                                              plt.plot(temp_time[k], temp_data[0][k])
                                      plt.show()
              Severity: Major
              Found in data_process/force_from_c3d.py - About 45 mins to fix

                Avoid deeply nested control flow statements.
                Open

                                        for k in range(len(filtered_6d_force)):
                                            remove_list = []
                                            counter = 0
                                            for m in range(1, len(filtered_6d_force[k][j])):
                                                if counter == 9:
                Severity: Major
                Found in data_process/force_from_c3d.py - About 45 mins to fix

                  Avoid deeply nested control flow statements.
                  Open

                                          for k in range(len(sliced_time)):
                                              plt.plot(sliced_time[k], sliced_data[0][k])
                                          for k in range(len(peaks)):
                  Severity: Major
                  Found in data_process/force_from_c3d.py - About 45 mins to fix

                    Function __init__ has 6 arguments (exceeds 4 allowed). Consider refactoring.
                    Open

                        def __init__(
                    Severity: Minor
                    Found in data_process/force_from_c3d.py - About 45 mins to fix

                      Avoid deeply nested control flow statements.
                      Open

                                              for l in remove_list:
                                                  sliced_time[j].pop(l)
                      
                      
                      Severity: Major
                      Found in data_process/force_from_c3d.py - About 45 mins to fix

                        Avoid deeply nested control flow statements.
                        Open

                                                for l in remove_list:
                                                    time[j].pop(l)
                                                    raw_data[7].pop(l)
                                        dictionary = {
                        Severity: Major
                        Found in data_process/force_from_c3d.py - About 45 mins to fix

                          Function stimulation_detection has 5 arguments (exceeds 4 allowed). Consider refactoring.
                          Open

                              def stimulation_detection(
                          Severity: Minor
                          Found in data_process/force_from_c3d.py - About 35 mins to fix

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