namebot.prefixify() - Code Metrics - Inspection of "Update README.md" - christabor/namebot - Measure and Improve Code Quality continuously with Scrutinizer

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by Chris
created 2016-05-14 21:26 UTC
namebot.prefixify() D

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"""Primary techniques for the core functionality of namebot."""

from __future__ import absolute_import
from __future__ import division

import re
from collections import defaultdict
from random import choice
from string import ascii_uppercase

import nltk
# .scrutinizer.yml
before_commands:
    - sudo pip install abc # Python2
    - sudo pip3 install abc # Python3

from . import nlp
from . import normalization
from . import settings as namebot_settings


_prefixes = namebot_settings.PREFIXES
_suffixes = namebot_settings.SUFFIXES
_alphabet = namebot_settings.ALPHABET
_consonants = namebot_settings.CONSONANTS
_vowels = namebot_settings.VOWELS
_regexes = namebot_settings.regexes


def domainify(words, tld='com'):
    """Convert words into a domain format for testing domains.

    Args:
        words (list): List of words
        tld (str, optional): The TLD (top-level domain) to use.

    Returns:
        list: The modified list of words.

    >>> domanify(['radio'], tld='.io')
    >>> ['rad.io']
    """
    _words = []
    if tld.startswith('.'):
        tld = tld.replace('.', '')
    for word in words:
        if word.endswith(tld) and tld != '':
            word = word.replace(tld, '.{}'.format(tld))
        _words.append(word)
    return _words


def spoonerism(words):
    """Convert a list of words formatted with the spoonerism technique.

    Args:
        words (list) - The list of words to operate on

    Returns:
        words (list) - The updated list of words

    >>> spoonerism(['foo', 'bar'])
    >>> ['boo', 'far']
    """
    "First: [f]oo [b]ar => boo far"

    new_words = []
    if len(words) < 2:
        raise ValueError('Need more than one word to combine')
    for k, word in enumerate(words):
        try:
            new_words.append('{}{} {}{}'.format(
                words[k + 1][0],  # 2nd word, 1st letter
                word[1:],  # 1st word, 2nd letter to end
                word[0],  # 1st word, 1st letter
                words[k + 1][1:]))  # 2nd word, 2nd letter to end
        except IndexError:
            continue
    return new_words


def kniferism(words):
    """Convert a list of words formatted with the kniferism technique.

    Args:
        words (list) - The list of words to operate on

    Returns:
        words (list) - The updated list of words

    >>> kniferism(['foo', 'bar'])
    >>> ['fao', 'bor']
    """
    "Mid: f[o]o b[a]r => fao bor"

    if len(words) < 2:
        raise ValueError('Need more than one word to combine')
    new_words = []
    for k, word in enumerate(words):
        try:
            middle_second = int(len(words[k + 1]) / 2)
            middle_first = int(len(word) / 2)
            new_words.append('{}{}{} {}{}{}'.format(
                word[:middle_first],
                words[k + 1][middle_second],
                word[middle_first + 1:],
                words[k + 1][:middle_second],
                word[middle_first],
                words[k + 1][middle_second + 1:]))
        except IndexError:
            continue
    return new_words


def forkerism(words):
    """Convert a list of words formatted with the forkerism technique.

    Args:
        words (list) - The list of words to operate on

    Returns:
        words (list) - The updated list of words

    >>> forkerism(['foo', 'bar'])
    >>> ['for', 'bao']
    """
    "Last: fo[o] ba[r] => for bao"

    if len(words) < 2:
        raise ValueError('Need more than one word to combine')
    new_words = []
    for k, word in enumerate(words):
        try:
            s_word = words[k + 1]
            s_word_len = len(s_word)
            f_word_len = len(word)
            f_w_last_letter = word[f_word_len - 1]
            s_w_last_letter = words[k + 1][s_word_len - 1]
            new_words.append('{}{} {}{}'.format(
                word[:f_word_len - 1],  # 1st word, 1st letter to last - 1
                s_w_last_letter,  # 2nd word, last letter
                s_word[:s_word_len - 1],  # 2nd word, 1st letter to last - 1
                f_w_last_letter))  # 1st word, last letter
        except IndexError:
            continue
    return new_words


def reduplication_ablaut(words, count=1, random=True, vowel='e'):
    """A technique to combine words and altering the vowels.

    e.g ch[i]t-ch[a]t, d[i]lly, d[a]lly.
    See http://phrases.org.uk/meanings/reduplication.html.
    """
    if len(words) < 2:
        raise ValueError('Need more than one word to combine')
    new_words = []
    substitution = choice(_vowels) if random else vowel
    for word in words:
        second = re.sub(r'a|e|i|o|u', substitution, word, count=count)
        # Only append if the first and second are different.
        if word != second:
            new_words.append('{} {}'.format(word, second))
    return new_words


def prefixify(words):
    """Apply a prefix technique to a set of words.

    Args:
        words (list) - The list of words to operate on.

    Returns:
        new_arr (list): the updated *fixed words
    """
    new_arr = []
    for word in words:
        if not word:
            continue
        for prefix in _prefixes:
            first_prefix_no_vowel = re.search(
                _regexes['no_vowels'], word[0])
            second_prefix_no_vowel = re.search(
                _regexes['no_vowels'], prefix[0])
            if first_prefix_no_vowel or second_prefix_no_vowel:
                # if there's a vowel at the end of
                # prefix but not at the beginning
                # of the word (or vice versa)
                vowel_beginning = re.search(r'a|e|i|o|u', prefix[-1:])
                vowel_end = re.search(r'^a|e|i|o|u', word[:1])
                if vowel_beginning or vowel_end:
                    new_arr.append('{}{}'.format(prefix, word))
    return new_arr


def suffixify(words):
    """Apply a suffix technique to a set of words.

    Args:
        words (list) - The list of words to operate on.
            (e.g -> chard + ard = chardard -> chard)

    Returns:
        new_arr (list): the updated *fixed words
    """
    new_arr = []
    for word in words:
        if not word:
            continue
        for suffix in _suffixes:
            prefix_start_vowel = re.search(_regexes['all_vowels'], word[0])
            suffix_start_vowel = re.search(_regexes['all_vowels'], suffix[0])
            if prefix_start_vowel or suffix_start_vowel:
                if suffix is 'ify':
                    if word[-1] is 'e':
                        if word[-2] is not 'i':
                            new_arr.append('{}{}'.format(word[:-2], suffix))
                        else:
                            new_arr.append('{}{}'.format(word[:-1], suffix))
                    new_arr.append(word + suffix)
                else:
                    new_arr.append(word + suffix)
    return new_arr


def duplifixify(words):
    """Apply a duplifix technique to a set of words (e.g: teeny weeny, etc...).

    Args:
        words (list) - The list of words to operate on.

    Returns:
        new_arr (list): the updated *fixed words
    """
    new_arr = []
    for word in words:
        if not word:
            continue
        for letter in _alphabet:
            # check if the first letter is NOT the same as the second letter,
            # or the combined word is not a duplicate of the first.
            duplicate_word = '{}{}'.format(letter, word[1:]) == word
            if word[0] is not letter and not duplicate_word:
                new_arr.append('{} {}{}'.format(word, letter, word[1:]))
    return new_arr


def disfixify(words, replaces=1):
    """Apply a disfix technique to a set of words.

    Disfixing is done by removing the first set of vowel-consonant pairs.

    Args:
        words (list) - The list of words to operate on.
        replaces (int, optional): Number of replacements
            to make on this string.

    Returns:
        new_arr (list): the updated *fixed words
    """
    new_arr = []
    vc_combo = r'[a-zA-Z][aeiou]{1}[qwrtypsdfghjklzxcvbnm]{1}'
    for word in words:
        if len(re.findall(vc_combo, word)) > 1:
            new_arr.append(re.sub(vc_combo, '', word, replaces))
        else:
            new_arr.append(word)
    return new_arr


def infixify(words):
    """Apply a infix technique to a set of words.

    Adds all consonant+vowel pairs to all inner matching vowel+consonant pairs
    of a word, giving all combinations for each word.

    Args:
        words (list) - The list of words to operate on.

    Returns:
        new_arr (list): the updated *fixed words
    """
    new_arr = []
    vc_combo_pair = re.compile(
        r'[a-zA-Z][aeiou]{1}[qwrtypsdfghjklzxcvbnm]{1}[aeiou]'
        '{1}[qwrtypsdfghjklzxcvbnm]{1}')
    for word in words:
        matches = re.findall(vc_combo_pair, word)
        if matches:
            for match in matches:
                for infix_pair in namebot_settings.CV_TL_PAIRS:
                    # Get midpoint of this string.
                    mid = len(match) // 2
                    # Get the left and right substrings to join with.
                    first, second = match[0:mid], match[mid:]
                    # Check if the infix_pair is the same as start, or end.
                    bad_matches = [
                        # Duplicates joined is bad.
                        infix_pair == first, infix_pair == second,
                        # Matching letters on start/end joining substrings
                        # is bad.
                        first[-1] == infix_pair[0],
                        # Matching letters on end/start joining substrings
                        # is also bad.
                        first[0] == infix_pair[-1],
                    ]
                    # Skip bad 'fusings'
                    if any(bad_matches):
                        continue
                    replacer = '{}{}{}'.format(first, infix_pair, second)
                    new_arr.append(word.replace(match, replacer))
        else:
            new_arr.append(word)
    return new_arr


def simulfixify(words, pairs=None, max=5):

    """Generate simulfixed words.

    Args:
        words (list) - List of words to operate on.
        pairs (list, optional) - Simulfix pairs to use for each word.
                                 If not specified, these will be generated
                                 randomly as vowel + consonant strings.
        max (int, optional): The number of simulfix pairs to generate
                             (if pairs is not specified.)

    Returns:
        results (list) - The simulfix version of each word,
                         for each simulfix pair.
    """
    results = []
    if pairs is None:
        pairs = ['{}{}'.format(choice(_vowels), choice(_consonants))
                 for _ in range(max)]
    for word in words:
        for combo in pairs:
            mid = len(word) // 2
            _word = '{}{}{}'.format(word[0:mid], combo, word[mid:])
            results.append(_word)
    return results


def palindrome(word):
    """Create a palindrome from a word.

    Args:
        word (str): The word.

    Returns:
        str: The updated palindrome.

    >>> palindrome('cool')
    >>> 'coollooc'
    """
    return '{}{}'.format(word, word[::-1])


def palindromes(words):
    """Convert a list of words into their palindromic form.

    Args:
        words (list): The words.

    Returns:
        list: The list of palindromes.

    >>> palindrome(['cool', 'neat'])
    >>> ['coollooc', 'neattaen']
    """
    return [palindrome(word) for word in words]


def make_founder_product_name(founder1, founder2, product):
    """Get the name of two people forming a company and combine it.

    Args:
        founder1 (str): Your founder name 1.
        founder2 (str): Your founder name 2.
        product (str): Your product/feature/service name.

    Returns:
        str: The updated name.

    >>> make_founder_product_name('chris', 'ella', 'widgets')
    >>> 'chris & ella widgets'
    """
    return '{} & {} {}'.format(
        founder1[0].upper(),
        founder2[0].upper(),
        product)


def make_name_alliteration(words, divider=' '):
    """Make an alliteration with a set of words, if applicable.

    Examples:
    java jacket
    singing sally
    earth engines
    ...etc

    1. Loop through a given array of words
    2. group by words with the same first letter
    3. combine them and return to new array
    """
    new_arr = []
    words = sorted(words)

    for word1 in words:
        for word2 in words:
            if word1[:1] is word2[:1] and word1 is not word2:
                new_arr.append(word1 + divider + word2)
    return new_arr


def make_name_abbreviation(words):
    """Will make some kind of company acronym.

    eg: BASF, AT&T, A&W
    Returns a single string of the new word combined.
    """
    return ''.join([word[:1].upper() for word in words])


def make_vowel(words, vowel_type, vowel_index):
    """Primary for all Portmanteau generators.

    This creates the portmanteau based on :vowel_index, and :vowel_type.

    The algorithm works as following:

    It looks for the first occurrence of a specified vowel in the first word,
    then gets the matching occurrence (if any) of the second word,
    then determines which should be first or second position, based on
    the ratio of letters (for each word) divided by the position of the vowel
    in question (e.g. c[a]t (2/3) vs. cr[a]te (3/5)).

    The higher number is ordered first, and the two words are then fused
    together by the single matching vowel.
    """
    new_arr = []
    for i in words:
        for j in words:
            is_match_i = re.search(vowel_type, i)
            is_match_j = re.search(vowel_type, j)
            if i is not j and is_match_i and is_match_j:
                # get the indices and lengths to use in finding the ratio
                pos_i = i.index(vowel_index)
                len_i = len(i)
                pos_j = j.index(vowel_index)
                len_j = len(j)

                # If starting index is 0,
                # add 1 to it so we're not dividing by zero
                if pos_i is 0:
                    pos_i = 1
                if pos_j is 0:
                    pos_j = 1

                # Decide which word should be the
                # prefix and which should be suffix
                if round(pos_i / len_i) > round(pos_j / len_j):
                    p = i[0: pos_i + 1]
                    p2 = j[pos_j: len(j)]
                    if len(p) + len(p2) > 2:
                        if re.search(
                            _regexes['all_vowels'], p) or re.search(
                                _regexes['all_vowels'], p2):
                                    if p[-1] is p2[0]:

                                        new_arr.append(p[:-1] + p2)

                                    else:

                                        new_arr.append(p + p2)

    return new_arr


def make_portmanteau_default_vowel(words):
    """Make a portmanteau based on vowel matches.

    E.g. (ala Brad+Angelina = Brangelina)
    Only matches for second to last letter
    in first word and matching vowel in second word.

    This defers to the make_vowel function for all the internal
    magic, but is a helper in that it provides all types of vowel
    combinations in one function.
    """
    new_arr = []
    vowel_a_re = re.compile(r'a{1}')
    vowel_e_re = re.compile(r'e{1}')
    vowel_i_re = re.compile(r'i{1}')
    vowel_o_re = re.compile(r'o{1}')
    vowel_u_re = re.compile(r'u{1}')

    new_arr += make_vowel(words, vowel_a_re, 'a')
    new_arr += make_vowel(words, vowel_e_re, 'e')
    new_arr += make_vowel(words, vowel_i_re, 'i')
    new_arr += make_vowel(words, vowel_o_re, 'o')
    new_arr += make_vowel(words, vowel_u_re, 'u')
    return new_arr


def make_portmanteau_split(words):
    """Make a portmeanteau, split by vowel/consonant combos.

    Based on the word formation of nikon: [ni]pp[on] go[k]aku,
    which is comprised of Nippon + Gokaku.

    We get the first C+V in the first word,
    then last V+C in the first word,
    then all C in the second word.
    """
    new_arr = []
    for i in words:
        for j in words:
                if i is not j:

                    l1 = re.search(r'[^a|e|i|o|u{1}]+[a|e|i|o|u{1}]', i)

                    l2 = re.search(r'[a|e|i|o|u{1}]+[^a|e|i|o|u{1}]$', j)

                    if i and l1 and l2:

                        # Third letter used for
                        # consonant middle splits only
                        l3 = re.split(r'[a|e|i|o|u{1}]', i)

                        l1 = l1.group(0)

                        l2 = l2.group(0)

                        if l3 and len(l3) > 0:

                            for v in l3:

                                new_arr.append(l1 + v + l2)

                            else:

                                new_arr.append('{}{}{}'.format(l1, 't', l2))

                                new_arr.append('{}{}{}'.format(l1, 's', l2))

                                new_arr.append('{}{}{}'.format(l1, 'z', l2))

                                new_arr.append('{}{}{}'.format(l1, 'x', l2))

    return new_arr


def make_punctuator(words, replace):
    """Put some hyphens or dots, or a given punctutation.

    Works via :replace in the word, but only around vowels ala "del.ic.ious"
    """
    def _replace(words, replace, replace_type='.'):
class SomeClass:
    def some_method(self):
        """Do x and return foo."""
        return [word.replace(
            replace, replace + replace_type) for word in words]

    hyphens = _replace(words, replace, replace_type='-')
    periods = _replace(words, replace)
    return hyphens + periods


def make_punctuator_vowels(words):
    """Helper function that combines all possible combinations for vowels."""
    new_words = []
    new_words += make_punctuator(words, 'a')
    new_words += make_punctuator(words, 'e')
    new_words += make_punctuator(words, 'i')
    new_words += make_punctuator(words, 'o')
    new_words += make_punctuator(words, 'u')
    return new_words


def make_vowelify(words):
    """Chop off consonant ala nautica if second to last letter is a vowel."""
    new_arr = []
    for word in words:
        if re.search(_regexes['all_vowels'], word[:-2]):
            new_arr.append(word[:-1])
    return new_arr


def make_misspelling(words):
    """Misspell a word in numerous ways, to create interesting results."""
    token_groups = (
        ('ics', 'ix'),
        ('ph', 'f'),
        ('kew', 'cue'),
        ('f', 'ph'),
        ('o', 'ough'),
        # these seem to have
        # sucked in practice
        ('o', 'off'),
        ('ow', 'o'),
        ('x', 'ecks'),
        ('za', 'xa'),
        ('xa', 'za'),
        ('ze', 'xe'),
        ('xe', 'ze'),
        ('zi', 'xi'),
        ('xi', 'zi'),
        ('zo', 'xo'),
        ('xo', 'zo'),
        ('zu', 'xu'),
        ('xu', 'zu'),
        # number based
        ('one', '1'),
        ('1', 'one'),
        ('two', '2'),
        ('2', 'two'),
        ('three', '3'),
        ('3', 'three'),
        ('four', '4'),
        ('4', 'four'),
        ('five', '5'),
        ('5', 'five'),
        ('six', '6'),
        ('6', 'six'),
        ('seven', '7'),
        ('7', 'seven'),
        ('eight', '8'),
        ('8', 'eight'),
        ('nine', '9'),
        ('9', 'nine'),
        ('ten', '10'),
        ('10', 'ten'),
        ('ecks', 'x'),
        ('spir', 'speer'),
        ('speer', 'spir'),
        ('x', 'ex'),
        ('on', 'awn'),
        ('ow', 'owoo'),
        ('awn', 'on'),
        ('awf', 'off'),
        ('s', 'z'),
        ('ce', 'ze'),
        ('ss', 'zz'),
        ('ku', 'koo'),
        ('trate', 'trait'),
        ('trait', 'trate'),
        ('ance', 'anz'),
        ('il', 'yll'),
        ('ice', 'ize'),
        ('chr', 'kr'),
        # These should only be at end of word!
        ('er', 'r'),
        ('lee', 'ly'),
    )
    new_arr = []
    for word in words:
        for tokens in token_groups:
            new_arr.append(word.replace(*tokens))
    return normalization.uniquify(new_arr)


def _pig_latinize(word, postfix='ay'):
    """Generate standard pig latin style, with optional postfix argument."""
    # Common postfixes: ['ay', 'yay', 'way']
    if not type(postfix) is str:
        raise TypeError('Must use a string for postfix.')

    piggified = None

    vowel_re = re.compile(r'(a|e|i|o|u)')
    first_letter = word[0:1]

    # clean up non letters
    word = word.replace(r'[^a-zA-Z]', '')

    if vowel_re.match(first_letter):
        piggified = word + 'way'
    else:
        piggified = ''.join([word[1: len(word)], first_letter, postfix])
    return piggified


def pig_latinize(words, postfix='ay'):
    """Pig latinize a set of words.

    Args:
        words (list): A list of words.
        postfix (str, optional): A postfix to use. Default is `ay`.

    Returns:
        words (list): The updated list.

    """
    return [_pig_latinize(word, postfix=postfix) for word in words]


def acronym_lastname(description, lastname):
    """Create an acronym plus the last name.

    Inspiration: ALFA Romeo.
    """
    desc = ''.join([word[0].upper() for word
                   in normalization.remove_stop_words(description.split(' '))])
    return '{} {}'.format(desc, lastname)


def get_descriptors(words):
    """Group words by their NLTK part-of-speech descriptors.

    Use NLTK to first grab tokens by looping through words,
    then tag part-of-speech (in isolation)
    and provide a dictionary with a list of each type
    for later retrieval and usage.
    """
    descriptors = defaultdict(list)
    tokens = nltk.word_tokenize(' '.join(words))
    parts = nltk.pos_tag(tokens)
    # Then, push the word into the matching type
    for part in parts:
        descriptors[part[1]].append(part[0])
    return descriptors


def _add_pos_subtypes(nouns, verbs):
    """Combine alternating verbs and nouns into a new list.

    Args:
        nouns (list) - List of nouns, noun phrases, etc...
        verbs (list) - List of verbs, verb phrases, etc...

    Returns:
        words (list) - The newly combined list
    """
    words = []
    try:
        for noun in nouns:
            for verb in verbs:
                words.append('{} {}'.format(noun, verb))
                words.append('{} {}'.format(verb, noun))
    except KeyError:
try:
    raises_exception()
except:  # Could be removed
    pass
        pass
    return words


def _create_pos_subtypes(words):
    """Check part-of-speech tags for a noun-phrase, adding combinations if so.

    If it exists, add combinations with noun-phrase + verb-phrase,
    noun-phrase + verb, and noun-phrase + adverb,
    for each pos type that exists.

    Args:
        words (list) - List of verbs, verb phrases, etc...

    Returns:
        new_words (list) - The newly combined list
    """
    new_words = []
    types = words.keys()
    if 'NNP' in types:
        if 'VBP' in types:
            new_words += _add_pos_subtypes(words['NNP'], words['VBP'])
        if 'VB' in types:
            new_words += _add_pos_subtypes(words['NNP'], words['VB'])
        if 'RB' in types:
            new_words += _add_pos_subtypes(words['NNP'], words['RB'])
    return new_words


def make_descriptors(words):
    """Make descriptor names.

    Based from a verb + noun, adjective + noun combination.
    Examples:
        -Pop Cap,
        -Big Fish,
        -Red Fin,
        -Cold Water (grill), etc...
    Combines VBP/VB/RB, with NN/NNS
    """
    return list(set(_create_pos_subtypes(words)))


def all_prefix_first_vowel(word, letters=list(ascii_uppercase)):
# Bad:
# If array_param is modified inside the function, the next invocation will
# receive the modified object.
def some_function(array_param=[]):
    # ...

# Better: Create an array on each invocation
def some_function(array_param=None):
    array_param = array_param or []
    # ...
    """Find the first vowel in a word and prefixes with consonants.

    Args:
        word (str) - the word to update
        letters (list) - the letters to use for prefixing.

    Returns:
        words (list) - All prefixed words

    """
    re_vowels = re.compile(r'[aeiouy]')
    matches = re.search(re_vowels, word)
    if matches is None:
        return [word]
    words = []
    vowels = ['A', 'E', 'I', 'O', 'U']
    first_match = matches.start(0)
    for letter in letters:
        if letter not in vowels:
            # If beginning letter is a vowel, don't offset the index
            if first_match == 0:
                words.append('{}{}'.format(letter, word))
            else:
                words.append('{}{}'.format(letter, word[first_match:]))
    return words


def recycle(words, func, times=2):
    """Run a set of words applied to a function repeatedly.

    It will re-run with the last output as the new input.
    `words` must be a list, and `func` must return a list.
    """
    if times > 0:
        return recycle(func(words), func, times - 1)
    return words


def backronym(acronym, theme, max_attempts=10):
    """Attempt to generate a backronym based on a given acronym and theme.

    Args:
        acronym (str): The starting acronym.
        theme (str): The seed word to base other words off of.
        max_attempts (int, optional): The number of attempts before failing.

    Returns:
        dict: The result dictionary. If a backronym was successfully generated,
            the `success` key will be True, otherwise False.
    """
    ret = {
        'acronym': '.'.join(list(acronym)).upper(),
        'backronym': '',
        'words': [],
        'success_ratio': 0.0,
        'success': False
    }
    if not acronym or not theme:
        return ret
    all_words = set()
    words = nlp._get_synset_words(theme)
class MyParent:
    def __init__(self):
        self._x = 1;
        self.y = 2;

class MyChild(MyParent):
    def some_method(self):
        return self._x    # Ok, since accessed from a child class

class AnotherClass:
    def some_method(self, instance_of_my_child):
        return instance_of_my_child._x   # Would be flagged as AnotherClass is not
                                         # a child class of MyParent
    _backronym = []
    acronym = acronym.lower()
    # Add words if they contain the same first letter
    # as any in the given acronym.
    cur_step = 0
    while len(_backronym) < len(acronym) or cur_step < max_attempts:
        all_words.update(words)
        for word in words:
            if word[0].lower() in acronym:
                if '_' in word:
                    # Don't add multi-word strings, but don't leave it blank.
                    _backronym.append(word[0])
                else:
                    _backronym.append(word)
        sdict = {}
        # Sort the word in order of the acronyms
        # letters by re-arranging indices.
        for word in _backronym:
            try:
                index = acronym.index(word[0].lower())
                sdict[index] = word
            except IndexError:
                continue
        cur_step += 1
        # Refresh words for next attempt.
        words = nlp._get_synset_words(theme)
class MyParent:
    def __init__(self):
        self._x = 1;
        self.y = 2;

class MyChild(MyParent):
    def some_method(self):
        return self._x    # Ok, since accessed from a child class

class AnotherClass:
    def some_method(self, instance_of_my_child):
        return instance_of_my_child._x   # Would be flagged as AnotherClass is not
                                         # a child class of MyParent
        # Try again if no words existed.
        if not words:
            continue
        # Get new theme, similar to originating theme.
        theme = words[0]
    vals = sdict.values()
    ret.update({
        'backronym': ' '.join(vals).upper(),
        'words': vals,
        'success_ratio': float(len(vals)) / float(len(acronym)),
        'success': len(vals) == len(acronym)
    })
    return ret


def super_scrub(data):
    """Run words through a comprehensive list of filtering functions.

    Expects a dictionary with key "words"
    """
    for technique in data['words']:
        data['words'][technique] = normalization.uniquify(
            normalization.remove_odd_sounding_words(
                normalization.clean_sort(
                    data['words'][technique])))
    return data


def generate_all_techniques(words):
    """Generate all techniques across the library in one place."""
    data = {
        'words': {

            'alliterations': make_name_alliteration(words),
            'alliterations': make_name_alliteration(words),
            'portmanteau': make_portmanteau_default_vowel(words),
            'vowels': make_vowelify(words),
            'suffix': suffixify(words),
            'prefix': prefixify(words),
            'duplifix': duplifixify(words),
            'disfix': disfixify(words),
            'infix': infixify(words),
            'simulfix': simulfixify(words),
            'founder_product_name': make_founder_product_name(
                'Lindsey', 'Chris', 'Widgets'),
            'punctuator': make_punctuator_vowels(words),
            'name_abbreviation': make_name_abbreviation(words),
            'make_portmanteau_split': make_portmanteau_split(words),
            'forkerism': forkerism(words),
            'kniferism': kniferism(words),
            'spoonerism': spoonerism(words),
            'palindrome': palindromes(words),
            'reduplication_ablaut': reduplication_ablaut(words),
            'misspelling': make_misspelling(words),
            'descriptors': make_descriptors(
                get_descriptors(words))
        }
    }
    return super_scrub(data)

Push — master ( cc4906...fdc087 )

namebot.prefixify() D

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1. Missing Dependencies

2. Missing init.py files

christabor / namebot

Push — master ( cc4906...fdc087 )

namebot.prefixify() D

Complexity

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Duplication

1. Missing Dependencies

2. Missing __init__.py files

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