VelocityCalculator.calculate() - Code Metrics - Inspection of "[In progress] Feature/add grouping opt" - qbahn/grortir - Measure and Improve Code Quality continuously with Scrutinizer

Completed

Pull Request — master (#43)

by Wojtek

created 2016-08-23 21:30 UTC

VelocityCalculator.calculate() A

↳ Parent: VelocityCalculator

Complexity

Conditions

Size

Total Lines

Duplication

Lines	0
Ratio	0 %

Code Coverage

Tests	4
CRAP Score	1

Importance

Changes	2
Bugs	0	Features	1

Metric	Value
cc	1
c	2
b	0
f	1
dl	0
loc	6
ccs	4
cts	4
cp	1
crap	1
rs	9.4285

"""Contains things related to calculating velocity."""

import numpy as np
# .scrutinizer.yml
before_commands:
    - sudo pip install abc # Python2
    - sudo pip3 install abc # Python3


class VelocityCalculator:
    """Calculate Velocity for single stage.

    Attributes:
        current_velocity (list) : list of coordinates of speed for current stage
        """

    def __init__(self, stage):
        self.stage = stage
        self.c_1 = 0.5
        self.c_2 = 0.5
        self.w_factor = 0.8
        self.current_velocity = None

    def calculate_initial_velocity(self):
        """Calculate initial velocity."""
        velocity = 0.02 * np.random.rand(len(self.stage.control_params)) - 0.01
        self.current_velocity = velocity
        return velocity

    def calculate(self, particle_best_position, leader_best_position):
        """Calculate velocity."""
        velocity = self._s0() + self.c_1 * self._s1(
            leader_best_position) + self.c_2 * self._s2(particle_best_position)
        self.current_velocity = velocity
        return velocity

    def _s2(self, particle_best_position):
class SomeClass:
    def some_method(self):
        """Do x and return foo."""
        return np.random.rand(len(self.stage.control_params)) * (
            np.asarray(particle_best_position) - np.asarray(
                self.stage.control_params))

    def _s1(self, leader_best_position):
class SomeClass:
    def some_method(self):
        """Do x and return foo."""
        return np.random.rand(len(self.stage.control_params)) * (
            np.asarray(leader_best_position) - np.asarray(
                self.stage.control_params))

    def _s0(self):
class SomeClass:
    def some_method(self):
        """Do x and return foo."""
        return self.w_factor * self.current_velocity


Pull Request — master (#43)

VelocityCalculator.calculate() A

Complexity

Size

Duplication

Code Coverage

Importance

1. Missing Dependencies

2. Missing init.py files

1		"""Contains things related to calculating velocity."""
2
3	1	import numpy as np
		0 ignored issues – show Configuration introduced 2016-07-20 23:10 UTC by Report Bug Copy Issue Report The import `numpy` could not be resolved. This can be caused by one of the following: 1. Missing Dependencies This error could indicate a configuration issue of Pylint. Make sure that your libraries are available by adding the necessary commands. # .scrutinizer.yml before_commands: - sudo pip install abc # Python2 - sudo pip3 install abc # Python3 Tip: We are currently not using virtualenv to run pylint, when installing your modules make sure to use the command for the correct version. 2. Missing __init__.py files This error could also result from missing `__init__.py` files in your module folders. Make sure that you place one file in each sub-folder. Loading history...
4
5
6	1	class VelocityCalculator:
7		"""Calculate Velocity for single stage.
8
9		Attributes:
10		current_velocity (list) : list of coordinates of speed for current stage
11		"""
12
13	1	def __init__(self, stage):
14	1	self.stage = stage
15	1	self.c_1 = 0.5
16	1	self.c_2 = 0.5
17	1	self.w_factor = 0.8
18	1	self.current_velocity = None
19
20	1	def calculate_initial_velocity(self):
21		"""Calculate initial velocity."""
22	1	velocity = 0.02 * np.random.rand(len(self.stage.control_params)) - 0.01
23	1	self.current_velocity = velocity
24	1	return velocity
25
26	1	def calculate(self, particle_best_position, leader_best_position):
27		"""Calculate velocity."""
28	1	velocity = self._s0() + self.c_1 * self._s1(
29		leader_best_position) + self.c_2 * self._s2(particle_best_position)
30	1	self.current_velocity = velocity
31	1	return velocity
32
33	1	def _s2(self, particle_best_position):
		0 ignored issues – show Coding Style introduced 2016-08-17 21:20 UTC by Report Bug Copy Issue Report This method should have a docstring. The coding style of this project requires that you add a docstring to this code element. Below, you find an example for methods: class SomeClass: def some_method(self): """Do x and return foo.""" If you would like to know more about docstrings, we recommend to read PEP-257: Docstring Conventions. Loading history...
34	1	return np.random.rand(len(self.stage.control_params)) * (
35		np.asarray(particle_best_position) - np.asarray(
36		self.stage.control_params))
37
38	1	def _s1(self, leader_best_position):
		0 ignored issues – show Coding Style introduced 2016-08-17 21:20 UTC by Report Bug Copy Issue Report This method should have a docstring. The coding style of this project requires that you add a docstring to this code element. Below, you find an example for methods: class SomeClass: def some_method(self): """Do x and return foo.""" If you would like to know more about docstrings, we recommend to read PEP-257: Docstring Conventions. Loading history...
39	1	return np.random.rand(len(self.stage.control_params)) * (
40		np.asarray(leader_best_position) - np.asarray(
41		self.stage.control_params))
42
43	1	def _s0(self):
		0 ignored issues – show Coding Style introduced 2016-08-17 21:20 UTC by Report Bug Copy Issue Report This method should have a docstring. The coding style of this project requires that you add a docstring to this code element. Below, you find an example for methods: class SomeClass: def some_method(self): """Do x and return foo.""" If you would like to know more about docstrings, we recommend to read PEP-257: Docstring Conventions. Loading history...
44		return self.w_factor * self.current_velocity
45

qbahn / grortir

Pull Request — master (#43)

VelocityCalculator.calculate() A

Complexity

Size

Duplication

Code Coverage

Importance

1. Missing Dependencies

2. Missing __init__.py files

Duplication Side-by-Side

Filter issues like

2. Missing init.py files