Cyclomatic complexity is too high in method _check_convergence. (11) Open
def _check_convergence(self, i, z0, r, m, bn):
if self._direction_changes > 1 or self._degenerate:
self._num_changes += 1
if self._num_changes >= 1 + self.num_extrap:
return True, r
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Cyclomatic Complexity
Cyclomatic Complexity corresponds to the number of decisions a block of code contains plus 1. This number (also called McCabe number) is equal to the number of linearly independent paths through the code. This number can be used as a guide when testing conditional logic in blocks.
Radon analyzes the AST tree of a Python program to compute Cyclomatic Complexity. Statements have the following effects on Cyclomatic Complexity:
Construct | Effect on CC | Reasoning |
---|---|---|
if | +1 | An if statement is a single decision. |
elif | +1 | The elif statement adds another decision. |
else | +0 | The else statement does not cause a new decision. The decision is at the if. |
for | +1 | There is a decision at the start of the loop. |
while | +1 | There is a decision at the while statement. |
except | +1 | Each except branch adds a new conditional path of execution. |
finally | +0 | The finally block is unconditionally executed. |
with | +1 | The with statement roughly corresponds to a try/except block (see PEP 343 for details). |
assert | +1 | The assert statement internally roughly equals a conditional statement. |
Comprehension | +1 | A list/set/dict comprehension of generator expression is equivalent to a for loop. |
Boolean Operator | +1 | Every boolean operator (and, or) adds a decision point. |
Function _check_convergence
has a Cognitive Complexity of 11 (exceeds 5 allowed). Consider refactoring. Open
def _check_convergence(self, i, z0, r, m, bn):
if self._direction_changes > 1 or self._degenerate:
self._num_changes += 1
if self._num_changes >= 1 + self.num_extrap:
return True, r
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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
Too many instance attributes (17/7) Open
class Taylor(object):
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Used when class has too many instance attributes, try to reduce this to get a simpler (and so easier to use) class.
Too many arguments (6/5) Open
def _check_convergence(self, i, z0, r, m, bn):
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Used when a function or method takes too many arguments.
Too few public methods (1/2) Open
class Taylor(object):
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Used when class has too few public methods, so be sure it's really worth it.
Too many arguments (6/5) Open
def taylor(fun, z0=0, n=1, r=0.0059, num_extrap=3, step_ratio=1.6, **kwds):
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Used when a function or method takes too many arguments.
Too many arguments (6/5) Open
def __init__(self, fun, n=1, r=0.0059, num_extrap=3, step_ratio=1.6, **kwds):
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Used when a function or method takes too many arguments.
Class 'Taylor' inherits from object, can be safely removed from bases in python3 Open
class Taylor(object):
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Used when a class inherit from object, which under python3 is implicit, hence can be safely removed from bases.
Unable to import 'numpy' Open
import numpy as np
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Used when pylint has been unable to import a module.
Unable to import 'scipy.special' Open
from scipy.special import factorial
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Used when pylint has been unable to import a module.
Similar blocks of code found in 2 locations. Consider refactoring. Open
(1, 9): (np.array([3., -32, 168, -672, 0, 672, -168, 32, -3]) / 840.0,
np.arange(-4, 5)),
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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 32.
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
- Extract Method
- Extract Class
- Form Template Method
- Introduce Null Object
- Pull Up Method
- Pull Up Field
- Substitute Algorithm
Further Reading
- Don't Repeat Yourself on the C2 Wiki
- Duplicated Code on SourceMaking
- Refactoring: Improving the Design of Existing Code by Martin Fowler. Duplicated Code, p76
Similar blocks of code found in 2 locations. Consider refactoring. Open
(2, 9): (np.array([-9., 128, -1008, 8064, -14350,
8064, -1008, 128, -9]) / 5040.0,
np.arange(-4, 5))}
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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 32.
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
- Extract Method
- Extract Class
- Form Template Method
- Introduce Null Object
- Pull Up Method
- Pull Up Field
- Substitute Algorithm
Further Reading
- Don't Repeat Yourself on the C2 Wiki
- Duplicated Code on SourceMaking
- Refactoring: Improving the Design of Existing Code by Martin Fowler. Duplicated Code, p76
Argument name bn
doesn't conform to '[a-z_][a-z0-9_]{2,30}$' pattern ('[a-z_][a-z0-9_]{2,30}$' pattern) Open
def _get_m1_m2(self, bn, m):
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Used when the name doesn't conform to naming rules associated to its type (constant, variable, class...).
Variable name m2
doesn't conform to '[a-z_][a-z0-9_]{2,30}$' pattern ('[a-z_][a-z0-9_]{2,30}$' pattern) Open
m2 = np.max(np.abs(bnc[m // 2:]))
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Used when the name doesn't conform to naming rules associated to its type (constant, variable, class...).
Attribute name _m
doesn't conform to '[a-z_][a-z0-9_]{2,30}$' pattern ('[a-z_][a-z0-9_]{2,30}$' pattern) Open
self._m = m
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Used when the name doesn't conform to naming rules associated to its type (constant, variable, class...).
Variable name m2
doesn't conform to '[a-z_][a-z0-9_]{2,30}$' pattern ('[a-z_][a-z0-9_]{2,30}$' pattern) Open
m1, m2 = self._get_m1_m2(bn, m)
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Used when the name doesn't conform to naming rules associated to its type (constant, variable, class...).
Variable name m1
doesn't conform to '[a-z_][a-z0-9_]{2,30}$' pattern ('[a-z_][a-z0-9_]{2,30}$' pattern) Open
m1, m2 = self._get_m1_m2(bn, m)
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Used when the name doesn't conform to naming rules associated to its type (constant, variable, class...).
Missing function or method docstring Open
def richardson_parameter(vals, k):
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Used when a function or method has no docstring. Some special methods like init do not require a docstring.
Argument name bn
doesn't conform to '[a-z_][a-z0-9_]{2,30}$' pattern ('[a-z_][a-z0-9_]{2,30}$' pattern) Open
def _get_max_m1m2(self, bn, m):
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Used when the name doesn't conform to naming rules associated to its type (constant, variable, class...).
Argument name z0
doesn't conform to '[a-z_][a-z0-9_]{2,30}$' pattern ('[a-z_][a-z0-9_]{2,30}$' pattern) Open
def _check_convergence(self, i, z0, r, m, bn):
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Used when the name doesn't conform to naming rules associated to its type (constant, variable, class...).
Variable name rs
doesn't conform to '[a-z_][a-z0-9_]{2,30}$' pattern ('[a-z_][a-z0-9_]{2,30}$' pattern) Open
rs = []
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Used when the name doesn't conform to naming rules associated to its type (constant, variable, class...).
Argument name x0
doesn't conform to '[a-z_][a-z0-9_]{2,30}$' pattern ('[a-z_][a-z0-9_]{2,30}$' pattern) Open
def _fd_weights_all(weights, x, x0, n):
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Used when the name doesn't conform to naming rules associated to its type (constant, variable, class...).
Argument name bs
doesn't conform to '[a-z_][a-z0-9_]{2,30}$' pattern ('[a-z_][a-z0-9_]{2,30}$' pattern) Open
def _extrapolate(bs, rs, m):
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Used when the name doesn't conform to naming rules associated to its type (constant, variable, class...).
Argument name z0
doesn't conform to '[a-z_][a-z0-9_]{2,30}$' pattern ('[a-z_][a-z0-9_]{2,30}$' pattern) Open
def derivative(fun, z0, n=1, **kwds):
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Used when the name doesn't conform to naming rules associated to its type (constant, variable, class...).
Variable name nk
doesn't conform to '[a-z_][a-z0-9_]{2,30}$' pattern ('[a-z_][a-z0-9_]{2,30}$' pattern) Open
nk = len(rs)
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Used when the name doesn't conform to naming rules associated to its type (constant, variable, class...).
Variable name m1
doesn't conform to '[a-z_][a-z0-9_]{2,30}$' pattern ('[a-z_][a-z0-9_]{2,30}$' pattern) Open
m1, m2 = self._get_m1_m2(bn, m)
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Used when the name doesn't conform to naming rules associated to its type (constant, variable, class...).
Variable name m2
doesn't conform to '[a-z_][a-z0-9_]{2,30}$' pattern ('[a-z_][a-z0-9_]{2,30}$' pattern) Open
m1, m2 = self._get_m1_m2(bn, m)
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Used when the name doesn't conform to naming rules associated to its type (constant, variable, class...).
Variable name bn
doesn't conform to '[a-z_][a-z0-9_]{2,30}$' pattern ('[a-z_][a-z0-9_]{2,30}$' pattern) Open
bn = np.fft.fft(fun(_circle(z0, r, m))) / m
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Used when the name doesn't conform to naming rules associated to its type (constant, variable, class...).
Argument name bn
doesn't conform to '[a-z_][a-z0-9_]{2,30}$' pattern ('[a-z_][a-z0-9_]{2,30}$' pattern) Open
def _poor_convergence(z, r, f, bn, mvec):
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Used when the name doesn't conform to naming rules associated to its type (constant, variable, class...).
Argument name rs
doesn't conform to '[a-z_][a-z0-9_]{2,30}$' pattern ('[a-z_][a-z0-9_]{2,30}$' pattern) Open
def _extrapolate(bs, rs, m):
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Used when the name doesn't conform to naming rules associated to its type (constant, variable, class...).
Missing module docstring Open
from __future__ import absolute_import, division
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Used when a module has no docstring. Empty modules do not require a docstring.
Variable name m1
doesn't conform to '[a-z_][a-z0-9_]{2,30}$' pattern ('[a-z_][a-z0-9_]{2,30}$' pattern) Open
m1 = np.max(np.abs(bnc[:m // 2]))
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Used when the name doesn't conform to naming rules associated to its type (constant, variable, class...).
Argument name x0
doesn't conform to '[a-z_][a-z0-9_]{2,30}$' pattern ('[a-z_][a-z0-9_]{2,30}$' pattern) Open
def fd_weights(x, x0=0, n=1):
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Used when the name doesn't conform to naming rules associated to its type (constant, variable, class...).
Argument name m2
doesn't conform to '[a-z_][a-z0-9_]{2,30}$' pattern ('[a-z_][a-z0-9_]{2,30}$' pattern) Open
def _check_fft(m1, m2, check_degenerate=True):
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Used when the name doesn't conform to naming rules associated to its type (constant, variable, class...).
Variable name du
doesn't conform to '[a-z_][a-z0-9_]{2,30}$' pattern ('[a-z_][a-z0-9_]{2,30}$' pattern) Open
du = np.zeros_like(fx)
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Used when the name doesn't conform to naming rules associated to its type (constant, variable, class...).
Variable name mm
doesn't conform to '[a-z_][a-z0-9_]{2,30}$' pattern ('[a-z_][a-z0-9_]{2,30}$' pattern) Open
mm = n // 2 + m
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Used when the name doesn't conform to naming rules associated to its type (constant, variable, class...).
Argument name rs
doesn't conform to '[a-z_][a-z0-9_]{2,30}$' pattern ('[a-z_][a-z0-9_]{2,30}$' pattern) Open
def _get_best_taylor_coefficients(bs, rs, m, max_m1m2):
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Used when the name doesn't conform to naming rules associated to its type (constant, variable, class...).
Argument name m1
doesn't conform to '[a-z_][a-z0-9_]{2,30}$' pattern ('[a-z_][a-z0-9_]{2,30}$' pattern) Open
def _check_fft(m1, m2, check_degenerate=True):
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Used when the name doesn't conform to naming rules associated to its type (constant, variable, class...).
Argument name z0
doesn't conform to '[a-z_][a-z0-9_]{2,30}$' pattern ('[a-z_][a-z0-9_]{2,30}$' pattern) Open
def __call__(self, z0=0):
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Used when the name doesn't conform to naming rules associated to its type (constant, variable, class...).
Argument name x0
doesn't conform to '[a-z_][a-z0-9_]{2,30}$' pattern ('[a-z_][a-z0-9_]{2,30}$' pattern) Open
def fd_weights_all(x, x0=0, n=1):
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Used when the name doesn't conform to naming rules associated to its type (constant, variable, class...).
Variable name bs
doesn't conform to '[a-z_][a-z0-9_]{2,30}$' pattern ('[a-z_][a-z0-9_]{2,30}$' pattern) Open
bs = []
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Used when the name doesn't conform to naming rules associated to its type (constant, variable, class...).
Argument name fx
doesn't conform to '[a-z_][a-z0-9_]{2,30}$' pattern ('[a-z_][a-z0-9_]{2,30}$' pattern) Open
def fd_derivative(fx, x, n=1, m=2):
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Used when the name doesn't conform to naming rules associated to its type (constant, variable, class...).
Argument name bs
doesn't conform to '[a-z_][a-z0-9_]{2,30}$' pattern ('[a-z_][a-z0-9_]{2,30}$' pattern) Open
def _get_best_taylor_coefficients(bs, rs, m, max_m1m2):
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Used when the name doesn't conform to naming rules associated to its type (constant, variable, class...).
Argument name bn
doesn't conform to '[a-z_][a-z0-9_]{2,30}$' pattern ('[a-z_][a-z0-9_]{2,30}$' pattern) Open
def _check_convergence(self, i, z0, r, m, bn):
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- Exclude checks
Used when the name doesn't conform to naming rules associated to its type (constant, variable, class...).
Argument name z0
doesn't conform to '[a-z_][a-z0-9_]{2,30}$' pattern ('[a-z_][a-z0-9_]{2,30}$' pattern) Open
def taylor(fun, z0=0, n=1, r=0.0059, num_extrap=3, step_ratio=1.6, **kwds):
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Used when the name doesn't conform to naming rules associated to its type (constant, variable, class...).