MushroomRL/mushroom-rl

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mushroom_rl/core/_impl/numpy_dataset.py

Summary

Maintainability
F
1 wk
Test Coverage
B
89%

NumpyDataset has 22 functions (exceeds 20 allowed). Consider refactoring.
Open

class NumpyDataset(Serializable):
    def __init__(self, state_type, state_shape, action_type, action_shape, reward_shape, flag_shape,
                 policy_state_shape, mask_shape):

        self._state_type = state_type
Severity: Minor
Found in mushroom_rl/core/_impl/numpy_dataset.py - About 2 hrs to fix

    Function get_view has a Cognitive Complexity of 10 (exceeds 5 allowed). Consider refactoring.
    Open

        def get_view(self, index, copy=False):
            view = self.create_new_instance(self)
    
            if copy:
                view._states = np.empty_like(self._states)
    Severity: Minor
    Found in mushroom_rl/core/_impl/numpy_dataset.py - About 1 hr 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"

    Further reading

    Function from_array has a Cognitive Complexity of 6 (exceeds 5 allowed). Consider refactoring.
    Open

        def from_array(cls, states, actions, rewards, next_states, absorbings, lasts,
                       policy_states=None, policy_next_states=None):
            if not isinstance(states, np.ndarray):
                states = states.numpy()
                actions = actions.numpy()
    Severity: Minor
    Found in mushroom_rl/core/_impl/numpy_dataset.py - About 25 mins 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"

    Further reading

    Similar blocks of code found in 2 locations. Consider refactoring.
    Open

        def get_view(self, index, copy=False):
            view = self.create_new_instance(self)
    
            if copy:
                view._states = np.empty_like(self._states)
    Severity: Major
    Found in mushroom_rl/core/_impl/numpy_dataset.py and 1 other location - About 6 days to fix
    mushroom_rl/core/_impl/torch_dataset.py on lines 149..197

    Duplicated Code

    Duplicated code can lead to software that is hard to understand and difficult to change. The Don't Repeat Yourself (DRY) principle states:

    Every piece of knowledge must have a single, unambiguous, authoritative representation within a system.

    When you violate DRY, bugs and maintenance problems are sure to follow. Duplicated code has a tendency to both continue to replicate and also to diverge (leaving bugs as two similar implementations differ in subtle ways).

    Tuning

    This issue has a mass of 620.

    We set useful threshold defaults for the languages we support but you may want to adjust these settings based on your project guidelines.

    The threshold configuration represents the minimum mass a code block must have to be analyzed for duplication. The lower the threshold, the more fine-grained the comparison.

    If the engine is too easily reporting duplication, try raising the threshold. If you suspect that the engine isn't catching enough duplication, try lowering the threshold. The best setting tends to differ from language to language.

    See codeclimate-duplication's documentation for more information about tuning the mass threshold in your .codeclimate.yml.

    Refactorings

    Further Reading

    Similar blocks of code found in 2 locations. Consider refactoring.
    Open

        def __add__(self, other):
            result = self.create_new_instance(self)
    
            result._states = np.concatenate((self.state, other.state))
            result._actions = np.concatenate((self.action, other.action))
    Severity: Major
    Found in mushroom_rl/core/_impl/numpy_dataset.py and 1 other location - About 2 days to fix
    mushroom_rl/core/_impl/torch_dataset.py on lines 203..219

    Duplicated Code

    Duplicated code can lead to software that is hard to understand and difficult to change. The Don't Repeat Yourself (DRY) principle states:

    Every piece of knowledge must have a single, unambiguous, authoritative representation within a system.

    When you violate DRY, bugs and maintenance problems are sure to follow. Duplicated code has a tendency to both continue to replicate and also to diverge (leaving bugs as two similar implementations differ in subtle ways).

    Tuning

    This issue has a mass of 231.

    We set useful threshold defaults for the languages we support but you may want to adjust these settings based on your project guidelines.

    The threshold configuration represents the minimum mass a code block must have to be analyzed for duplication. The lower the threshold, the more fine-grained the comparison.

    If the engine is too easily reporting duplication, try raising the threshold. If you suspect that the engine isn't catching enough duplication, try lowering the threshold. The best setting tends to differ from language to language.

    See codeclimate-duplication's documentation for more information about tuning the mass threshold in your .codeclimate.yml.

    Refactorings

    Further Reading

    Similar blocks of code found in 2 locations. Consider refactoring.
    Open

        def clear(self):
            self._states = np.empty_like(self._states)
            self._actions = np.empty_like(self._actions)
            self._rewards = np.empty_like(self._rewards)
            self._next_states = np.empty_like(self._next_states)
    Severity: Major
    Found in mushroom_rl/core/_impl/numpy_dataset.py and 1 other location - About 1 day to fix
    mushroom_rl/core/_impl/torch_dataset.py on lines 135..147

    Duplicated Code

    Duplicated code can lead to software that is hard to understand and difficult to change. The Don't Repeat Yourself (DRY) principle states:

    Every piece of knowledge must have a single, unambiguous, authoritative representation within a system.

    When you violate DRY, bugs and maintenance problems are sure to follow. Duplicated code has a tendency to both continue to replicate and also to diverge (leaving bugs as two similar implementations differ in subtle ways).

    Tuning

    This issue has a mass of 139.

    We set useful threshold defaults for the languages we support but you may want to adjust these settings based on your project guidelines.

    The threshold configuration represents the minimum mass a code block must have to be analyzed for duplication. The lower the threshold, the more fine-grained the comparison.

    If the engine is too easily reporting duplication, try raising the threshold. If you suspect that the engine isn't catching enough duplication, try lowering the threshold. The best setting tends to differ from language to language.

    See codeclimate-duplication's documentation for more information about tuning the mass threshold in your .codeclimate.yml.

    Refactorings

    Further Reading

    Identical blocks of code found in 2 locations. Consider refactoring.
    Open

        def __getitem__(self, index):
            return self._states[index], self._actions[index], self._rewards[index], self._next_states[index], \
                   self._absorbing[index], self._last[index]
    Severity: Major
    Found in mushroom_rl/core/_impl/numpy_dataset.py and 1 other location - About 3 hrs to fix
    mushroom_rl/core/_impl/torch_dataset.py on lines 199..201

    Duplicated Code

    Duplicated code can lead to software that is hard to understand and difficult to change. The Don't Repeat Yourself (DRY) principle states:

    Every piece of knowledge must have a single, unambiguous, authoritative representation within a system.

    When you violate DRY, bugs and maintenance problems are sure to follow. Duplicated code has a tendency to both continue to replicate and also to diverge (leaving bugs as two similar implementations differ in subtle ways).

    Tuning

    This issue has a mass of 65.

    We set useful threshold defaults for the languages we support but you may want to adjust these settings based on your project guidelines.

    The threshold configuration represents the minimum mass a code block must have to be analyzed for duplication. The lower the threshold, the more fine-grained the comparison.

    If the engine is too easily reporting duplication, try raising the threshold. If you suspect that the engine isn't catching enough duplication, try lowering the threshold. The best setting tends to differ from language to language.

    See codeclimate-duplication's documentation for more information about tuning the mass threshold in your .codeclimate.yml.

    Refactorings

    Further Reading

    Similar blocks of code found in 2 locations. Consider refactoring.
    Open

        def _add_all_save_attr(self):
            self._add_save_attr(
    Severity: Major
    Found in mushroom_rl/core/_impl/numpy_dataset.py and 1 other location - About 2 hrs to fix
    mushroom_rl/core/_impl/torch_dataset.py on lines 274..275

    Duplicated Code

    Duplicated code can lead to software that is hard to understand and difficult to change. The Don't Repeat Yourself (DRY) principle states:

    Every piece of knowledge must have a single, unambiguous, authoritative representation within a system.

    When you violate DRY, bugs and maintenance problems are sure to follow. Duplicated code has a tendency to both continue to replicate and also to diverge (leaving bugs as two similar implementations differ in subtle ways).

    Tuning

    This issue has a mass of 50.

    We set useful threshold defaults for the languages we support but you may want to adjust these settings based on your project guidelines.

    The threshold configuration represents the minimum mass a code block must have to be analyzed for duplication. The lower the threshold, the more fine-grained the comparison.

    If the engine is too easily reporting duplication, try raising the threshold. If you suspect that the engine isn't catching enough duplication, try lowering the threshold. The best setting tends to differ from language to language.

    See codeclimate-duplication's documentation for more information about tuning the mass threshold in your .codeclimate.yml.

    Refactorings

    Further Reading

    Identical blocks of code found in 2 locations. Consider refactoring.
    Open

        @property
        def n_episodes(self):
            n_episodes = self.last.sum()
    
            if not self.last[-1]:
    Severity: Major
    Found in mushroom_rl/core/_impl/numpy_dataset.py and 1 other location - About 1 hr to fix
    mushroom_rl/core/_impl/torch_dataset.py on lines 265..272

    Duplicated Code

    Duplicated code can lead to software that is hard to understand and difficult to change. The Don't Repeat Yourself (DRY) principle states:

    Every piece of knowledge must have a single, unambiguous, authoritative representation within a system.

    When you violate DRY, bugs and maintenance problems are sure to follow. Duplicated code has a tendency to both continue to replicate and also to diverge (leaving bugs as two similar implementations differ in subtle ways).

    Tuning

    This issue has a mass of 45.

    We set useful threshold defaults for the languages we support but you may want to adjust these settings based on your project guidelines.

    The threshold configuration represents the minimum mass a code block must have to be analyzed for duplication. The lower the threshold, the more fine-grained the comparison.

    If the engine is too easily reporting duplication, try raising the threshold. If you suspect that the engine isn't catching enough duplication, try lowering the threshold. The best setting tends to differ from language to language.

    See codeclimate-duplication's documentation for more information about tuning the mass threshold in your .codeclimate.yml.

    Refactorings

    Further Reading

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