Sign upLogin

DataMedSci/beprof

View on GitHub
Star
beprof/curve.py

Summary

Maintainability
C
7 hrs
Test Coverage

File curve.py has 264 lines of code (exceeds 250 allowed). Consider refactoring.
Open

import numpy as np
import math
import copy
from beprof import functions
import logging
Severity: Minor
Found in beprof/curve.py - About 2 hrs to fix

    Function main has 41 lines of code (exceeds 25 allowed). Consider refactoring.
    Open

    def main():
    print('\nSubtract method :\n')

    c = Curve([[0.0, 0], [5, 5], [10, 0]])
    print('c: \n', c)
    Severity: Minor
    Found in beprof/curve.py - About 1 hr to fix

      Similar blocks of code found in 2 locations. Consider refactoring.
      Open

              try:
            self.y /= factor
        except TypeError as e:
            logger.warning("Division in place is impossible: %s", e)
            if allow_cast:
      Severity: Major
      Found in beprof/curve.py and 1 other location - About 2 hrs to fix
      beprof/profile.py on lines 158..166

      Duplicated Code

      Duplicated code can lead to software that is hard to understand and difficult to change. The Don't Repeat Yourself (DRY) principle states:

      Every piece of knowledge must have a single, unambiguous, authoritative representation within a system.

      When you violate DRY, bugs and maintenance problems are sure to follow. Duplicated code has a tendency to both continue to replicate and also to diverge (leaving bugs as two similar implementations differ in subtle ways).

      Tuning

      This issue has a mass of 58.

      We set useful threshold defaults for the languages we support but you may want to adjust these settings based on your project guidelines.

      The threshold configuration represents the minimum mass a code block must have to be analyzed for duplication. The lower the threshold, the more fine-grained the comparison.

      If the engine is too easily reporting duplication, try raising the threshold. If you suspect that the engine isn't catching enough duplication, try lowering the threshold. The best setting tends to differ from language to language.

      See codeclimate-duplication's documentation for more information about tuning the mass threshold in your .codeclimate.yml.

      Refactorings

      Further Reading

      Similar blocks of code found in 2 locations. Consider refactoring.
      Open

              obj = self.__class__(np.dstack((domain, y))[0], **self.__dict__['metadata'])
      Severity: Minor
      Found in beprof/curve.py and 1 other location - About 50 mins to fix
      beprof/functions.py on lines 23..23

      Duplicated Code

      Duplicated code can lead to software that is hard to understand and difficult to change. The Don't Repeat Yourself (DRY) principle states:

      Every piece of knowledge must have a single, unambiguous, authoritative representation within a system.

      When you violate DRY, bugs and maintenance problems are sure to follow. Duplicated code has a tendency to both continue to replicate and also to diverge (leaving bugs as two similar implementations differ in subtle ways).

      Tuning

      This issue has a mass of 36.

      We set useful threshold defaults for the languages we support but you may want to adjust these settings based on your project guidelines.

      The threshold configuration represents the minimum mass a code block must have to be analyzed for duplication. The lower the threshold, the more fine-grained the comparison.

      If the engine is too easily reporting duplication, try raising the threshold. If you suspect that the engine isn't catching enough duplication, try lowering the threshold. The best setting tends to differ from language to language.

      See codeclimate-duplication's documentation for more information about tuning the mass threshold in your .codeclimate.yml.

      Refactorings

      Further Reading

      There are no issues that match your filters.

      Category
      Status