Completed
Pull Request — master (#40)
by Wojtek
07:47
created

GroupedOptimizer   A

Complexity

Total Complexity 5

Size/Duplication

Total Lines 21
Duplicated Lines 0 %

Importance

Changes 1
Bugs 0 Features 0
Metric Value
wmc 5
c 1
b 0
f 0
dl 0
loc 21
rs 10

3 Methods

Rating   Name   Duplication   Size   Complexity  
A set_custom_optimizing_order() 0 7 3
A __init__() 0 4 1
A optimize_process() 0 5 1
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"""Basic grouped optimizer."""
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import networkx as nx
0 ignored issues
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Configuration introduced by
The import networkx 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.

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class GroupedOptimizer(object):
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    """Optimizer is object which optimize process."""
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    def __init__(self, process):
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        self.process = process
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        self.ordered_stages = nx.topological_sort(self.process)
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        self.swarm_size = 40
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    def set_custom_optimizing_order(self, ordered_stages):
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        """Set custom order."""
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        if set(self.ordered_stages) == set(ordered_stages) and len(
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                self.ordered_stages) == len(ordered_stages):
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            self.ordered_stages = ordered_stages
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        else:
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            raise ValueError("List of stages must contain all stages.")
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    def optimize_process(self):
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        """Optimize process.
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        Returns:
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            True if success, False otherwise."""
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        pass
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