File propagation.py
has 744 lines of code (exceeds 250 allowed). Consider refactoring. Open
"A library for propagators and closely related functions"
import numpy as np
import tensorflow as tf
from typing import Dict
from c3.model import Model
Cyclomatic complexity is too high in function pwc. (11) Open
@unitary_deco
def pwc(
model: Model,
gen: Generator,
instr: Instruction,
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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 tf_batch_propagate
has a Cognitive Complexity of 18 (exceeds 5 allowed). Consider refactoring. Open
def tf_batch_propagate(
hamiltonian, hks, signals, dt, batch_size, col_ops=None, lindbladian=False
):
"""
Propagate signal in batches
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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
Cyclomatic complexity is too high in function tf_batch_propagate. (8) Open
def tf_batch_propagate(
hamiltonian, hks, signals, dt, batch_size, col_ops=None, lindbladian=False
):
"""
Propagate signal in batches
- Read upRead up
- Exclude checks
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 pwc
has a Cognitive Complexity of 15 (exceeds 5 allowed). Consider refactoring. Open
def pwc(
model: Model,
gen: Generator,
instr: Instruction,
folding_stack: list,
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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
Function tf_batch_propagate
has 7 arguments (exceeds 4 allowed). Consider refactoring. Open
def tf_batch_propagate(
Function tf_propagation_lind
has 6 arguments (exceeds 4 allowed). Consider refactoring. Open
def tf_propagation_lind(h0, hks, col_ops, cflds_t, dt, history=False):
Function ode_solver_final_state
has 6 arguments (exceeds 4 allowed). Consider refactoring. Open
def ode_solver_final_state(
Function ode_solver
has 6 arguments (exceeds 4 allowed). Consider refactoring. Open
def ode_solver(
Function tf_dU_of_t_lind
has 5 arguments (exceeds 4 allowed). Consider refactoring. Open
def tf_dU_of_t_lind(h0, hks, col_ops, cflds_t, dt):
Function rk38
has 5 arguments (exceeds 4 allowed). Consider refactoring. Open
def rk38(func, rho, h, dt, col=None):
Function tsit5
has 5 arguments (exceeds 4 allowed). Consider refactoring. Open
def tsit5(func, rho, h, dt, col=None):
Function pwc
has 5 arguments (exceeds 4 allowed). Consider refactoring. Open
def pwc(
Function rk4
has 5 arguments (exceeds 4 allowed). Consider refactoring. Open
def rk4(func, rho, h, dt, col=None):
Function rk5
has 5 arguments (exceeds 4 allowed). Consider refactoring. Open
def rk5(func, rho, h, dt, col=None):
Function evaluate_sequences
has a Cognitive Complexity of 7 (exceeds 5 allowed). Consider refactoring. Open
def evaluate_sequences(propagators: Dict, sequences: list):
"""
Compute the total propagator of a sequence of gates.
Parameters
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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
Refactor this function to reduce its Cognitive Complexity from 18 to the 15 allowed. Open
def tf_batch_propagate(
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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
Remove this commented out code. Open
# U = tf_matmul_left(tf.cast(dUs, tf.complex128))
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Programmers should not comment out code as it bloats programs and reduces readability.
Unused code should be deleted and can be retrieved from source control history if required.
See
- MISRA C:2004, 2.4 - Sections of code should not be "commented out".
- MISRA C++:2008, 2-7-2 - Sections of code shall not be "commented out" using C-style comments.
- MISRA C++:2008, 2-7-3 - Sections of code should not be "commented out" using C++ comments.
- MISRA C:2012, Dir. 4.4 - Sections of code should not be "commented out"
Rename function "step_vonNeumann_psi" to match the regular expression ^[a-z_][a-z0-9_]{2,}$. Wontfix
def step_vonNeumann_psi(psi, h, dt):
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Shared coding conventions allow teams to collaborate efficiently. This rule checks that all function names match a provided regular expression.
Noncompliant Code Example
With the default provided regular expression: ^[a-z_][a-z0-9_]{2,30}$
def MyFunction(a,b): ...
Compliant Solution
def my_function(a,b): ...
Rename function "tf_dU_of_t_lind" to match the regular expression ^[a-z_][a-z0-9_]{2,}$. Invalid
def tf_dU_of_t_lind(h0, hks, col_ops, cflds_t, dt):
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Shared coding conventions allow teams to collaborate efficiently. This rule checks that all function names match a provided regular expression.
Noncompliant Code Example
With the default provided regular expression: ^[a-z_][a-z0-9_]{2,30}$
def MyFunction(a,b): ...
Compliant Solution
def my_function(a,b): ...
Rename function "tf_dU_of_t" to match the regular expression ^[a-z_][a-z0-9_]{2,}$. Invalid
def tf_dU_of_t(h0, hks, cflds_t, dt):
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Shared coding conventions allow teams to collaborate efficiently. This rule checks that all function names match a provided regular expression.
Noncompliant Code Example
With the default provided regular expression: ^[a-z_][a-z0-9_]{2,30}$
def MyFunction(a,b): ...
Compliant Solution
def my_function(a,b): ...