# HazyResearch/fonduer

src/fonduer/features/feature_libs/tabular_features.py

### Summary

C
7 hrs

#### Function `extract_tabular_features` has a Cognitive Complexity of 41 (exceeds 5 allowed). Consider refactoring. Open

``````def extract_tabular_features(
candidates: Union[Candidate, List[Candidate]],
) -> Iterator[Tuple[int, str, int]]:
"""Extract tabular features.

``````
Found in src/fonduer/features/feature_libs/tabular_features.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"

#### Cyclomatic complexity is too high in function extract_tabular_features. (19) Open

``````def extract_tabular_features(
candidates: Union[Candidate, List[Candidate]],
) -> Iterator[Tuple[int, str, int]]:
"""Extract tabular features.

``````

## 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.

#### Cyclomatic complexity is too high in function _tablelib_multinary_features. (15) Open

``````def _tablelib_multinary_features(
spans: Tuple[SpanMention, ...]
) -> Iterator[Tuple[str, int]]:
"""Table-/structure-related features for multiple spans."""
multinary_features = settings["featurization"]["tabular"]["multinary_features"]``````

## 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.

#### Cyclomatic complexity is too high in function _tablelib_unary_features. (10) Open

``````def _tablelib_unary_features(span: SpanMention) -> Iterator[Tuple[str, int]]:
"""Table-/structure-related features for a single span."""
if not span.sentence.is_tabular():
return
sentence = span.sentence``````

## 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.

#### Avoid deeply nested control flow statements. Open

``````                    if [span_sentences[1:] == span_sentences[:-1]]:
yield "SAME_SENTENCE", DEF_VALUE
else:``````
Found in src/fonduer/features/feature_libs/tabular_features.py - About 45 mins to fix

#### Avoid deeply nested control flow statements. Open

``````                        for f, v in _tablelib_unary_features(span):