LiberTEM/LiberTEM

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src/libertem/udf/masks.py

Summary

Maintainability
A
3 hrs
Test Coverage

Use of assert detected. The enclosed code will be removed when compiling to optimised byte code.
Open

            assert frame.getformat() == 'coo'
Severity: Info
Found in src/libertem/udf/masks.py by bandit

Cyclomatic complexity is too high in method __init__. (15)
Open

    def __init__(self, masks: MaskContainer, meta: UDFMeta, use_torch: bool):
        self.masks = masks
        self.meta = meta

        try:
Severity: Minor
Found in src/libertem/udf/masks.py by radon

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 method __init__. (11)
Open

    def __init__(self, mask_factories, use_torch=True, use_sparse=None, mask_count=None,
                mask_dtype=None, preferred_dtype=None, backends=None, shifts=None, **kwargs):

        _backends = backends
        if backends is None:
Severity: Minor
Found in src/libertem/udf/masks.py by radon

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 method process_frame_shifted. (6)
Open

    def process_frame_shifted(self, frame, shifts: tuple[int, ...]):
        sig_shape = self.meta.dataset_shape.sig
        masks = self._get_masks()
        num_masks = len(self.masks)
        shifted_slice = self.meta.sig_slice.shift_by(shifts)
Severity: Minor
Found in src/libertem/udf/masks.py by radon

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

    def __init__(self, masks: MaskContainer, meta: UDFMeta, use_torch: bool):
        self.masks = masks
        self.meta = meta

        try:
Severity: Minor
Found in src/libertem/udf/masks.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

Function __init__ has a Cognitive Complexity of 8 (exceeds 5 allowed). Consider refactoring.
Open

    def __init__(self, mask_factories, use_torch=True, use_sparse=None, mask_count=None,
                mask_dtype=None, preferred_dtype=None, backends=None, shifts=None, **kwargs):

        _backends = backends
        if backends is None:
Severity: Minor
Found in src/libertem/udf/masks.py - About 45 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

Consider simplifying this complex logical expression.
Open

        if use_torch and (not torch_incompatible):
            self.process_flat = self._process_flat_torch
        elif (
            self.meta.array_backend == UDF.BACKEND_NUMPY
            and isinstance(self.masks.use_sparse, str)
Severity: Major
Found in src/libertem/udf/masks.py - About 40 mins to fix

    Function __init__ has 9 arguments (exceeds 8 allowed). Consider refactoring.
    Open

        def __init__(self, mask_factories, use_torch=True, use_sparse=None, mask_count=None,
    Severity: Major
    Found in src/libertem/udf/masks.py - About 35 mins to fix

      Function process_frame_shifted has a Cognitive Complexity of 6 (exceeds 5 allowed). Consider refactoring.
      Open

          def process_frame_shifted(self, frame, shifts: tuple[int, ...]):
              sig_shape = self.meta.dataset_shape.sig
              masks = self._get_masks()
              num_masks = len(self.masks)
              shifted_slice = self.meta.sig_slice.shift_by(shifts)
      Severity: Minor
      Found in src/libertem/udf/masks.py - About 25 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

      Method "__init__" has 10 parameters, which is greater than the 7 authorized.
      Open

          def __init__(self, mask_factories, use_torch=True, use_sparse=None, mask_count=None,
                      mask_dtype=None, preferred_dtype=None, backends=None, shifts=None, **kwargs):
      Severity: Major
      Found in src/libertem/udf/masks.py by sonar-python

      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):
          ...
      

      Take the required action to fix the issue indicated by this "FIXME" comment.
      Open

              # FIXME use GPU torch with CuPy array?
      Severity: Major
      Found in src/libertem/udf/masks.py by sonar-python

      FIXME tags are commonly used to mark places where a bug is suspected, but which the developer wants to deal with later.

      Sometimes the developer will not have the time or will simply forget to get back to that tag.

      This rule is meant to track those tags and to ensure that they do not go unnoticed.

      Noncompliant Code Example

      def divide(numerator, denominator):
        return numerator / denominator              # FIXME denominator value might be 0
      

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