Cyclomatic complexity is too high in function calculate_bias_matrix. (6) Open
def calculate_bias_matrix(feature_bed, matrix_paths):
"""Given a list of paths to matrix files and a :class:`pandas.DataFrame`
giving a feature value for each window in those matrices, calculate the
average normalised matrix value between sets of windows in the same
decile for the feature value.
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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. |
TODO found Open
#TODO: Refactor this function
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Line too long (80 > 79 characters) Open
:returns: :class:`pandas.DataFrame` giving the feature value for each window
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Limit all lines to a maximum of 79 characters.
There are still many devices around that are limited to 80 character
lines; plus, limiting windows to 80 characters makes it possible to
have several windows side-by-side. The default wrapping on such
devices looks ugly. Therefore, please limit all lines to a maximum
of 79 characters. For flowing long blocks of text (docstrings or
comments), limiting the length to 72 characters is recommended.
Reports error E501.
Missing whitespace after ':' Open
get_key(l1, l2):[]
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Each comma, semicolon or colon should be followed by whitespace.
Okay: [a, b]
Okay: (3,)
Okay: a[1:4]
Okay: a[:4]
Okay: a[1:]
Okay: a[1:4:2]
E231: ['a','b']
E231: foo(bar,baz)
E231: [{'a':'b'}]
Line too long (94 > 79 characters) Open
means_matrix[ix_1, ix_2] = bin_comb_means[get_key(col_labels[ix_1], col_labels[ix_2])]
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Limit all lines to a maximum of 79 characters.
There are still many devices around that are limited to 80 character
lines; plus, limiting windows to 80 characters makes it possible to
have several windows side-by-side. The default wrapping on such
devices looks ugly. Therefore, please limit all lines to a maximum
of 79 characters. For flowing long blocks of text (docstrings or
comments), limiting the length to 72 characters is recommended.
Reports error E501.
Block comment should start with '# ' Open
#pylint: disable=too-many-locals
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Separate inline comments by at least two spaces.
An inline comment is a comment on the same line as a statement.
Inline comments should be separated by at least two spaces from the
statement. They should start with a # and a single space.
Each line of a block comment starts with a # and a single space
(unless it is indented text inside the comment).
Okay: x = x + 1 # Increment x
Okay: x = x + 1 # Increment x
Okay: # Block comment
E261: x = x + 1 # Increment x
E262: x = x + 1 #Increment x
E262: x = x + 1 # Increment x
E265: #Block comment
E266: ### Block comment
Line too long (90 > 79 characters) Open
:param feature_bed: :class:`pandas.DataFrame` giving the feature value for each window
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Limit all lines to a maximum of 79 characters.
There are still many devices around that are limited to 80 character
lines; plus, limiting windows to 80 characters makes it possible to
have several windows side-by-side. The default wrapping on such
devices looks ugly. Therefore, please limit all lines to a maximum
of 79 characters. For flowing long blocks of text (docstrings or
comments), limiting the length to 72 characters is recommended.
Reports error E501.
Missing whitespace after ':' Open
bin_comb_means = {labels:np.nanmean(np.concatenate(values, axis=None))
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Each comma, semicolon or colon should be followed by whitespace.
Okay: [a, b]
Okay: (3,)
Okay: a[1:4]
Okay: a[:4]
Okay: a[1:]
Okay: a[1:4:2]
E231: ['a','b']
E231: foo(bar,baz)
E231: [{'a':'b'}]
Line too long (90 > 79 characters) Open
:param feature_bed: :class:`pandas.DataFrame` giving the feature value for each window
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Limit all lines to a maximum of 79 characters.
There are still many devices around that are limited to 80 character
lines; plus, limiting windows to 80 characters makes it possible to
have several windows side-by-side. The default wrapping on such
devices looks ugly. Therefore, please limit all lines to a maximum
of 79 characters. For flowing long blocks of text (docstrings or
comments), limiting the length to 72 characters is recommended.
Reports error E501.
Block comment should start with '# ' Open
#TODO: Refactor this function
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Separate inline comments by at least two spaces.
An inline comment is a comment on the same line as a statement.
Inline comments should be separated by at least two spaces from the
statement. They should start with a # and a single space.
Each line of a block comment starts with a # and a single space
(unless it is indented text inside the comment).
Okay: x = x + 1 # Increment x
Okay: x = x + 1 # Increment x
Okay: # Block comment
E261: x = x + 1 # Increment x
E262: x = x + 1 #Increment x
E262: x = x + 1 # Increment x
E265: #Block comment
E266: ### Block comment