LiberTEM/LiberTEM

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src/libertem/io/corrections/detector.py

Summary

Maintainability
D
1 day
Test Coverage

Function _correct_numba_inplace has a Cognitive Complexity of 45 (exceeds 5 allowed). Consider refactoring.
Open

def _correct_numba_inplace(buffer, dark_image, gain_map, exclude_pixels, repair_environments,
        repair_counts):
    '''
    Numerical work horse to perform detector corrections

Severity: Minor
Found in src/libertem/io/corrections/detector.py - About 6 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

Cyclomatic complexity is too high in function _correct_numba_inplace. (16)
Open

@numba.njit(cache=True, nogil=True)
def _correct_numba_inplace(buffer, dark_image, gain_map, exclude_pixels, repair_environments,
        repair_counts):
    '''
    Numerical work horse to perform detector corrections

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.

Source: http://radon.readthedocs.org/en/latest/intro.html

Cyclomatic complexity is too high in function correct. (8)
Open

def correct(
        buffer, dark_image=None, gain_map=None, excluded_pixels=None, repair_descriptor=None,
        inplace=False, sig_shape=None, allow_empty=False):
    '''
    Function to perform detector corrections

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.

Source: http://radon.readthedocs.org/en/latest/intro.html

Function environments has a Cognitive Complexity of 16 (exceeds 5 allowed). Consider refactoring.
Open

def environments(excluded_pixels, sigshape):
    '''
    Calculate a hypercube surface around a pixel, excluding frame boundaries

    Returns
Severity: Minor
Found in src/libertem/io/corrections/detector.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 correct_dot_masks has a Cognitive Complexity of 16 (exceeds 5 allowed). Consider refactoring.
Open

def correct_dot_masks(masks, gain_map, excluded_pixels=None, allow_empty=False):
    mask_shape = masks.shape
    sig_shape = gain_map.shape
    masks = masks.reshape((-1, prod(sig_shape)))

Severity: Minor
Found in src/libertem/io/corrections/detector.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

Cyclomatic complexity is too high in function environments. (7)
Open

@numba.njit(cache=True, nogil=True)
def environments(excluded_pixels, sigshape):
    '''
    Calculate a hypercube surface around a pixel, excluding frame boundaries

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.

Source: http://radon.readthedocs.org/en/latest/intro.html

Cyclomatic complexity is too high in function correct_dot_masks. (7)
Open

def correct_dot_masks(masks, gain_map, excluded_pixels=None, allow_empty=False):
    mask_shape = masks.shape
    sig_shape = gain_map.shape
    masks = masks.reshape((-1, prod(sig_shape)))

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.

Source: http://radon.readthedocs.org/en/latest/intro.html

Cyclomatic complexity is too high in function flatten_filter. (6)
Open

@numba.njit(cache=True, nogil=True)
def flatten_filter(excluded_pixels, repairs, repair_counts, sig_shape):
    '''
    Flatten excluded pixels and repair environments and filter for collisions

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.

Source: http://radon.readthedocs.org/en/latest/intro.html

Function correct has a Cognitive Complexity of 11 (exceeds 5 allowed). Consider refactoring.
Open

def correct(
        buffer, dark_image=None, gain_map=None, excluded_pixels=None, repair_descriptor=None,
        inplace=False, sig_shape=None, allow_empty=False):
    '''
    Function to perform detector corrections
Severity: Minor
Found in src/libertem/io/corrections/detector.py - About 1 hr 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 flatten_filter has a Cognitive Complexity of 9 (exceeds 5 allowed). Consider refactoring.
Open

def flatten_filter(excluded_pixels, repairs, repair_counts, sig_shape):
    '''
    Flatten excluded pixels and repair environments and filter for collisions

    Ravel indices to flattened signal dimension and
Severity: Minor
Found in src/libertem/io/corrections/detector.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 index in repair_environments[i, :repair_counts[i]]:
                        acc += buffer[nav, index]
                    buffer[nav, p] = acc / repair_counts[i]
Severity: Major
Found in src/libertem/io/corrections/detector.py - About 45 mins to fix

    Refactor this function to reduce its Cognitive Complexity from 16 to the 15 allowed.
    Open

    def environments(excluded_pixels, sigshape):

    Cognitive Complexity is a measure of how hard the control flow of a function is to understand. Functions with high Cognitive Complexity will be difficult to maintain.

    See

    Refactor this function to reduce its Cognitive Complexity from 16 to the 15 allowed.
    Open

    def correct_dot_masks(masks, gain_map, excluded_pixels=None, allow_empty=False):

    Cognitive Complexity is a measure of how hard the control flow of a function is to understand. Functions with high Cognitive Complexity will be difficult to maintain.

    See

    Function "correct" has 8 parameters, which is greater than the 7 authorized.
    Open

            buffer, dark_image=None, gain_map=None, excluded_pixels=None, repair_descriptor=None,
            inplace=False, sig_shape=None, allow_empty=False):

    A long parameter list can indicate that a new structure should be created to wrap the numerous parameters or that the function is doing too many things.

    Noncompliant Code Example

    With a maximum number of 4 parameters:

    def do_something(param1, param2, param3, param4, param5):
        ...
    

    Compliant Solution

    def do_something(param1, param2, param3, param4):
        ...
    

    Refactor this function to reduce its Cognitive Complexity from 45 to the 15 allowed.
    Open

    def _correct_numba_inplace(buffer, dark_image, gain_map, exclude_pixels, repair_environments,

    Cognitive Complexity is a measure of how hard the control flow of a function is to understand. Functions with high Cognitive Complexity will be difficult to maintain.

    See

    There are no issues that match your filters.

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