Defaults.__init__() - Code Metrics - richlewis42/scikit-chem - Measure and Improve Code Quality continuously with Scrutinizer

Defaults.init() A
last analyzed 2016-09-01 14:43 UTC

↳ Parent: Defaults

Complexity

Conditions

Size

Total Lines

Duplication

Lines	0
Ratio	0 %

Code Coverage

Tests	2
CRAP Score	1

Importance

Changes

Metric	Value
c	0
b	0
f	0
dl	0
loc	3
ccs	2
cts	2
cp	1
rs	10
cc	1
crap	1

#! /usr/bin/env python
#
# Copyright (C) 2015-2016 Rich Lewis <[email protected]>
# License: 3-clause BSD

"""
skchem.utils.helpers

Module providing helper functions for scikit-chem
"""

from collections import Iterable
from functools import wraps

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


def optional_second_method(func):
class SomeClass:
    def some_method(self):
        """Do x and return foo."""
    @wraps(func)
    def inner(self, arg, second_arg=None, **kwargs):
class SomeClass:
    def some_method(self):
        """Do x and return foo."""
        res = func(self, arg, **kwargs)
        if second_arg is not None:
            return res, second_arg
        else:
            return res
    return inner


def iterable_to_series(mols):
class SomeClass:
    def some_method(self):
        """Do x and return foo."""
    assert isinstance(mols, Iterable), 'Object must be iterable.'
    assert not isinstance(mols, str), 'Object cannot be a string.'
    if isinstance(mols, dict):
        return pd.Series(mols, name='structure')
    else:
        return pd.Series(mols, index=[mol.name if mol.name else i
                                      for i, mol in enumerate(mols)],
                         name='structure')


def nanarray(shape):
    """ Produce an array of NaN in provided shape.

    Args:
        shape (tuple):
            The shape of the nan array to produce.

    Returns:
        np.array

    """
    return np.repeat(np.nan, np.prod(shape)).reshape(*shape)



def squeeze(data, axis=None):

    """ Squeeze dimension for length 1 arrays.

    Args:
        data (pd.Series or pd.DataFrame or pd.Panel):
            The pandas object to squeeze.
        axis (int or tuple):
            The axes along which to squeeze.

    Returns:
        pd.Series or pd.DataFrame
    """

    if axis is None:
        axis = range(len(data.axes))
    elif isinstance(axis, int):
        axis = (axis,)
    return data.iloc[tuple([0 if len(a) == 1 and i in axis else slice(None)
                            for i, a in enumerate(data.axes)])]


class Defaults(object):
class SomeClass:
    def some_method(self):
        """Do x and return foo."""

    def __init__(self, defaults):

        self.defaults = defaults

    def get(self, val):
class SomeClass:
    def some_method(self):
        """Do x and return foo."""
        if isinstance(val, str):
            return self.defaults.get(val)
        else:
            return val



1		#! /usr/bin/env python
2		#
3		# Copyright (C) 2015-2016 Rich Lewis <[email protected]>
4		# License: 3-clause BSD
5
6	1	"""
7		skchem.utils.helpers
8
9		Module providing helper functions for scikit-chem
10		"""
11
12	1	from collections import Iterable
13	1	from functools import wraps
14
15	1	import numpy as np
		0 ignored issues – show Configuration introduced 2016-08-05 16:20 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...
16	1	import pandas as pd
		0 ignored issues – show Configuration introduced 2016-08-05 16:20 UTC by Report Bug Copy Issue Report The import `pandas` 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...
17
18
19	1	def optional_second_method(func):
		0 ignored issues – show Coding Style introduced 2016-08-05 16:20 UTC by Report Bug Copy Issue Report This function 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...
20	1	@wraps(func)
21	1	def inner(self, arg, second_arg=None, **kwargs):
		0 ignored issues – show Coding Style introduced 2016-08-05 16:20 UTC by Report Bug Copy Issue Report This function 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...
22	1	res = func(self, arg, **kwargs)
23	1	if second_arg is not None:
24		return res, second_arg
25		else:
26	1	return res
27	1	return inner
28
29
30	1	def iterable_to_series(mols):
		0 ignored issues – show Coding Style introduced 2016-08-05 16:20 UTC by Report Bug Copy Issue Report This function 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...
31	1	assert isinstance(mols, Iterable), 'Object must be iterable.'
32	1	assert not isinstance(mols, str), 'Object cannot be a string.'
33	1	if isinstance(mols, dict):
34	1	return pd.Series(mols, name='structure')
35		else:
36	1	return pd.Series(mols, index=[mol.name if mol.name else i
37		for i, mol in enumerate(mols)],
38		name='structure')
39
40
41	1	def nanarray(shape):
42		""" Produce an array of NaN in provided shape.
43
44		Args:
45		shape (tuple):
46		The shape of the nan array to produce.
47
48		Returns:
49		np.array
50
51		"""
52	1	return np.repeat(np.nan, np.prod(shape)).reshape(*shape)
		0 ignored issues – show Coding Style introduced 2016-08-05 16:20 UTC by Report Bug Copy Issue Report Usage of `` or `` arguments should usually be done with care. Generally, there is nothing wrong with usage of `` or `**` arguments. For readability of the code base, we suggest to not over-use these language constructs though. For more information, we can recommend this blog post from Ned Batchelder including its comments which also touches this aspect. Loading history...
53
54
55	1	def squeeze(data, axis=None):
56
57		""" Squeeze dimension for length 1 arrays.
58
59		Args:
60		data (pd.Series or pd.DataFrame or pd.Panel):
61		The pandas object to squeeze.
62		axis (int or tuple):
63		The axes along which to squeeze.
64
65		Returns:
66		pd.Series or pd.DataFrame
67		"""
68
69	1	if axis is None:
70		axis = range(len(data.axes))
71	1	elif isinstance(axis, int):
72	1	axis = (axis,)
73	1	return data.iloc[tuple([0 if len(a) == 1 and i in axis else slice(None)
74		for i, a in enumerate(data.axes)])]
75
76
77	1	class Defaults(object):
		0 ignored issues – show Coding Style introduced 2016-08-05 16:20 UTC by Report Bug Copy Issue Report This class 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...
78
79	1	def __init__(self, defaults):
80
81	1	self.defaults = defaults
82
83	1	def get(self, val):
		0 ignored issues – show Coding Style introduced 2016-08-05 16:20 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...
84	1	if isinstance(val, str):
85	1	return self.defaults.get(val)
86		else:
87	1	return val
88
89

Defaults.init() A
last analyzed 2016-09-01 14:43 UTC

Complexity

Size

Duplication

Code Coverage

Importance

1. Missing Dependencies

2. Missing init.py files

1. Missing Dependencies

2. Missing init.py files

richlewis42 / scikit-chem

Defaults.__init__() A last analyzed 2016-09-01 14:43 UTC

Complexity

Size

Duplication

Code Coverage

Importance

1. Missing Dependencies

2. Missing __init__.py files

1. Missing Dependencies

2. Missing __init__.py files

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Defaults.init() A
last analyzed 2016-09-01 14:43 UTC

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2. Missing init.py files