abydos.phonetic._beider_morse.BeiderMorse.encode() - Code Metrics - Inspection of "0.3.6" - chrislit/abydos - Measure and Improve Code Quality continuously with Scrutinizer

Completed
Pull Request — master (#141)

by Chris
created 2018-11-10 03:25 UTC
abydos.phonetic._beider_morse.BeiderMorse.encode() C

↳ Parent: abydos.phonetic._beider_morse
Complexity

Conditions
Size

Total Lines	133
Code Lines	47
Duplication

Lines	0
Ratio	0 %
Code Coverage

Tests	27
CRAP Score	11
Importance

Changes
Metric	Value
cc	11
eloc	47
nop	7
dl	0
loc	133
ccs	27
cts	27
cp	1
crap	11
rs	5.4
c	0
b	0
f	0
How to fix Long Method Complexity

# -*- coding: utf-8 -*-

# Copyright 2014-2018 by Christopher C. Little.
# This file is part of Abydos.
#
# This file is based on Alexander Beider and Stephen P. Morse's implementation
# of the Beider-Morse Phonetic Matching (BMPM) System, available at
# http://stevemorse.org/phonetics/bmpm.htm.
#
# Abydos is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# Abydos is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with Abydos. If not, see <http://www.gnu.org/licenses/>.

"""abydos.phonetic._beider_morse.

Beider-Morse Phonetic Matching (BMPM) algorithm
"""

from __future__ import (
    absolute_import,
    division,
    print_function,
    unicode_literals,
)

from re import search
from unicodedata import normalize

from six import PY3, text_type
from six.moves import range

from ._beider_morse_data import (
    BMDATA,
    L_ANY,
    L_ARABIC,
    L_CYRILLIC,
    L_CZECH,
    L_DUTCH,
    L_ENGLISH,
    L_FRENCH,
    L_GERMAN,
    L_GREEK,
    L_GREEKLATIN,
    L_HEBREW,
    L_HUNGARIAN,
    L_ITALIAN,
    L_LATVIAN,
    L_NONE,
    L_POLISH,
    L_PORTUGUESE,
    L_ROMANIAN,
    L_RUSSIAN,
    L_SPANISH,
    L_TURKISH,
)
from ._phonetic import Phonetic

__all__ = ['BeiderMorse', 'bmpm']

if PY3:
    long = int


_LANG_DICT = {
    'any': L_ANY,
    'arabic': L_ARABIC,
    'cyrillic': L_CYRILLIC,
    'czech': L_CZECH,
    'dutch': L_DUTCH,
    'english': L_ENGLISH,
    'french': L_FRENCH,
    'german': L_GERMAN,
    'greek': L_GREEK,
    'greeklatin': L_GREEKLATIN,
    'hebrew': L_HEBREW,
    'hungarian': L_HUNGARIAN,
    'italian': L_ITALIAN,
    'latvian': L_LATVIAN,
    'polish': L_POLISH,
    'portuguese': L_PORTUGUESE,
    'romanian': L_ROMANIAN,
    'russian': L_RUSSIAN,
    'spanish': L_SPANISH,
    'turkish': L_TURKISH,
}

BMDATA['gen']['discards'] = {
    'da ',
    'dal ',
    'de ',
    'del ',
    'dela ',
    'de la ',
    'della ',
    'des ',
    'di ',
    'do ',
    'dos ',
    'du ',
    'van ',
    'von ',
    'd\'',
}
BMDATA['sep']['discards'] = {
    'al',
    'el',
    'da',
    'dal',
    'de',
    'del',
    'dela',
    'de la',
    'della',
    'des',
    'di',
    'do',
    'dos',
    'du',
    'van',
    'von',
}
BMDATA['ash']['discards'] = {'bar', 'ben', 'da', 'de', 'van', 'von'}

# format of rules array
_PATTERN_POS = 0
_LCONTEXT_POS = 1
_RCONTEXT_POS = 2
_PHONETIC_POS = 3


class BeiderMorse(Phonetic):

    """Beider-Morse Phonetic Matching.

    The Beider-Morse Phonetic Matching algorithm is described in
    :cite:`Beider:2008`.
    The reference implementation is licensed under GPLv3.
    """

    def _language(self, name, name_mode):
class Foo:
    def some_method(self, x, y):
        return x + y;
        """Return the best guess language ID for the word and language choices.

        Args:
            name (str): The term to guess the language of
            name_mode (str): the name mode of the algorithm: 'gen' (default),
                    'ash' (Ashkenazi), or 'sep' (Sephardic)

        Returns:
            int: Language ID

        """
        name = name.strip().lower()
        rules = BMDATA[name_mode]['language_rules']
        all_langs = (
            sum(_LANG_DICT[_] for _ in BMDATA[name_mode]['languages']) - 1
        )
        choices_remaining = all_langs
        for rule in rules:
            letters, languages, accept = rule
            if search(letters, name) is not None:
                if accept:
                    choices_remaining &= languages
                else:
                    choices_remaining &= (~languages) % (all_langs + 1)
        if choices_remaining == L_NONE:
            choices_remaining = L_ANY
        return choices_remaining

    def _redo_language(

        self, term, name_mode, rules, final_rules1, final_rules2, concat

    ):
        """Reassess the language of the terms and call the phonetic encoder.

        Uses a split multi-word term.

        Args:
            term (str): The term to encode via Beider-Morse
            name_mode (str): The name mode of the algorithm: ``gen`` (default),
                ``ash`` (Ashkenazi), or ``sep`` (Sephardic)
            rules (tuple): The set of initial phonetic transform regexps
            final_rules1 (tuple): The common set of final phonetic transform
                regexps
            final_rules2 (tuple): The specific set of final phonetic transform
                regexps
            concat (bool): A flag to indicate concatenation

        Returns:
            str: A BMPM code

        """
        language_arg = self._language(term, name_mode)
        return self._phonetic(
            term,
            name_mode,
            rules,
            final_rules1,
            final_rules2,
            language_arg,
            concat,
        )

    def _phonetic(

        self,

        term,

        name_mode,

        rules,

        final_rules1,

        final_rules2,

        language_arg=0,

        concat=False,

    ):
        """Return the Beider-Morse encoding(s) of a term.

        Args:
            term (str): The term to encode via Beider-Morse
            name_mode (str): The name mode of the algorithm: ``gen`` (default),
                ``ash`` (Ashkenazi), or ``sep`` (Sephardic)
            rules (tuple): The set of initial phonetic transform regexps
            final_rules1 (tuple): The common set of final phonetic transform
                regexps
            final_rules2 (tuple): The specific set of final phonetic transform
                regexps
            language_arg (int): The language of the term
            concat (bool): A flag to indicate concatenation

        Returns:
            str: A BMPM code

        """
        term = term.replace('-', ' ').strip()

        if name_mode == 'gen':  # generic case
            # discard and concatenate certain words if at the start of the name
            for pfx in BMDATA['gen']['discards']:
                if term.startswith(pfx):
                    remainder = term[len(pfx) :]
                    combined = pfx[:-1] + remainder
                    result = (
                        self._redo_language(
                            remainder,
                            name_mode,
                            rules,
                            final_rules1,
                            final_rules2,
                            concat,
                        )
                        + '-'
                        + self._redo_language(
                            combined,
                            name_mode,
                            rules,
                            final_rules1,
                            final_rules2,
                            concat,
                        )
                    )
                    return result

        words = (
            term.split()
        )  # create array of the individual words in the name
        words2 = []

        if name_mode == 'sep':  # Sephardic case
            # for each word in the name, delete portions of word preceding
            # apostrophe
            # ex: d'avila d'aguilar --> avila aguilar
            # also discard certain words in the name

            # note that we can never get a match on "de la" because we are
            # checking single words below
            # this is a bug, but I won't try to fix it now

            for word in words:
                word = word[word.rfind('\'') + 1 :]
                if word not in BMDATA['sep']['discards']:
                    words2.append(word)

        elif name_mode == 'ash':  # Ashkenazic case
            # discard certain words if at the start of the name
            if len(words) > 1 and words[0] in BMDATA['ash']['discards']:
                words2 = words[1:]
            else:
                words2 = list(words)
        else:
            words2 = list(words)

        if concat:
            # concatenate the separate words of a multi-word name
            # (normally used for exact matches)
            term = ' '.join(words2)
        elif len(words2) == 1:  # not a multi-word name
            term = words2[0]
        else:
            # encode each word in a multi-word name separately
            # (normally used for approx matches)
            result = '-'.join(
                [
                    self._redo_language(
                        w, name_mode, rules, final_rules1, final_rules2, concat
                    )
                    for w in words2
                ]
            )
            return result

        term_length = len(term)

        # apply language rules to map to phonetic alphabet
        phonetic = ''
        skip = 0
        for i in range(term_length):
            if skip:
                skip -= 1
                continue
            found = False
            for rule in rules:
                pattern = rule[_PATTERN_POS]
                pattern_length = len(pattern)
                lcontext = rule[_LCONTEXT_POS]
                rcontext = rule[_RCONTEXT_POS]

                # check to see if next sequence in input matches the string in
                # the rule
                if (pattern_length > term_length - i) or (
                    term[i : i + pattern_length] != pattern

                ):  # no match
                    continue

                right = '^' + rcontext
                left = lcontext + '$'

                # check that right context is satisfied
                if rcontext != '':
                    if not search(right, term[i + pattern_length :]):
                        continue

                # check that left context is satisfied
                if lcontext != '':
                    if not search(left, term[:i]):
                        continue

                # check for incompatible attributes
                candidate = self._apply_rule_if_compat(
                    phonetic, rule[_PHONETIC_POS], language_arg
                )
                # The below condition shouldn't ever be false
                if candidate is not None:  # pragma: no branch
                    phonetic = candidate
                    found = True
                    break

            if (
                not found

            ):  # character in name that is not in table -- e.g., space
                pattern_length = 1
            skip = pattern_length - 1


        # apply final rules on phonetic-alphabet,
        # doing a substitution of certain characters
        phonetic = self._apply_final_rules(
            phonetic, final_rules1, language_arg, False
        )  # apply common rules
        # final_rules1 are the common approx rules,
        # final_rules2 are approx rules for specific language
        phonetic = self._apply_final_rules(
            phonetic, final_rules2, language_arg, True
        )  # apply lang specific rules

        return phonetic

    def _apply_final_rules(self, phonetic, final_rules, language_arg, strip):

        """Apply a set of final rules to the phonetic encoding.

        Args:
            phonetic (str): The term to which to apply the final rules
            final_rules (tuple): The set of final phonetic transform regexps
            language_arg (int): An integer representing the target language of
                the phonetic encoding
            strip (bool): Flag to indicate whether to normalize the language
                attributes

        Returns:
            str: A BMPM code

        """
        # optimization to save time
        if not final_rules:
            return phonetic

        # expand the result
        phonetic = self._expand_alternates(phonetic)
        phonetic_array = phonetic.split('|')

        for k in range(len(phonetic_array)):

            phonetic = phonetic_array[k]
            phonetic2 = ''
            phoneticx = self._normalize_lang_attrs(phonetic, True)

            i = 0
            while i < len(phonetic):
                found = False

                if phonetic[i] == '[':  # skip over language attribute
                    attrib_start = i
                    i += 1
                    while True:
                        if phonetic[i] == ']':
                            i += 1
                            phonetic2 += phonetic[attrib_start:i]
                            break
                        i += 1
                    continue

                for rule in final_rules:
                    pattern = rule[_PATTERN_POS]
                    pattern_length = len(pattern)
                    lcontext = rule[_LCONTEXT_POS]
                    rcontext = rule[_RCONTEXT_POS]

                    right = '^' + rcontext
                    left = lcontext + '$'

                    # check to see if next sequence in phonetic matches the
                    # string in the rule
                    if (pattern_length > len(phoneticx) - i) or phoneticx[
                        i : i + pattern_length

                    ] != pattern:
                        continue

                    # check that right context is satisfied
                    if rcontext != '':
                        if not search(right, phoneticx[i + pattern_length :]):
                            continue

                    # check that left context is satisfied
                    if lcontext != '':
                        if not search(left, phoneticx[:i]):
                            continue

                    # check for incompatible attributes
                    candidate = self._apply_rule_if_compat(
                        phonetic2, rule[_PHONETIC_POS], language_arg
                    )
                    # The below condition shouldn't ever be false
                    if candidate is not None:  # pragma: no branch
                        phonetic2 = candidate
                        found = True
                        break

                if not found:
                    # character in name for which there is no substitution in
                    # the table
                    phonetic2 += phonetic[i]
                    pattern_length = 1

                i += pattern_length


            phonetic_array[k] = self._expand_alternates(phonetic2)

        phonetic = '|'.join(phonetic_array)
        if strip:
            phonetic = self._normalize_lang_attrs(phonetic, True)

        if '|' in phonetic:
            phonetic = '(' + self._remove_dupes(phonetic) + ')'

        return phonetic

    def _phonetic_number(self, phonetic):
class Foo:
    def some_method(self, x, y):
        return x + y;
        """Remove bracketed text from the end of a string.

        Args:
            phonetic (str): A Beider-Morse phonetic encoding

        Returns:
            str: A BMPM code

        """
        if '[' in phonetic:
            return phonetic[: phonetic.find('[')]

        return phonetic  # experimental !!!!

    def _expand_alternates(self, phonetic):
        """Expand phonetic alternates separated by |s.

        Args:
            phonetic (str): A Beider-Morse phonetic encoding

        Returns:
            str: A BMPM code

        """
        alt_start = phonetic.find('(')
        if alt_start == -1:
            return self._normalize_lang_attrs(phonetic, False)

        prefix = phonetic[:alt_start]
        alt_start += 1  # get past the (
        alt_end = phonetic.find(')', alt_start)
        alt_string = phonetic[alt_start:alt_end]
        alt_end += 1  # get past the )
        suffix = phonetic[alt_end:]
        alt_array = alt_string.split('|')
        result = ''

        for i in range(len(alt_array)):

            alt = alt_array[i]
            alternate = self._expand_alternates(prefix + alt + suffix)
            if alternate != '' and alternate != '[0]':
                if result != '':
                    result += '|'
                result += alternate

        return result

    def _pnums_with_leading_space(self, phonetic):
        """Join prefixes & suffixes in cases of alternate phonetic values.

        Args:
            phonetic (str): A Beider-Morse phonetic encoding

        Returns:
            str: A BMPM code

        """
        alt_start = phonetic.find('(')
        if alt_start == -1:
            return ' ' + self._phonetic_number(phonetic)

        prefix = phonetic[:alt_start]
        alt_start += 1  # get past the (
        alt_end = phonetic.find(')', alt_start)
        alt_string = phonetic[alt_start:alt_end]
        alt_end += 1  # get past the )
        suffix = phonetic[alt_end:]
        alt_array = alt_string.split('|')
        result = ''
        for alt in alt_array:
            result += self._pnums_with_leading_space(prefix + alt + suffix)

        return result

    def _phonetic_numbers(self, phonetic):
        """Prepare & join phonetic numbers.

        Split phonetic value on '-', run through _pnums_with_leading_space,
        and join with ' '

        Args:
            phonetic (str): A Beider-Morse phonetic encoding

        Returns:
            str: A BMPM code

        """
        phonetic_array = phonetic.split('-')  # for names with spaces in them
        result = ' '.join(
            [self._pnums_with_leading_space(i)[1:] for i in phonetic_array]
        )
        return result

    def _remove_dupes(self, phonetic):
class Foo:
    def some_method(self, x, y):
        return x + y;
        """Remove duplicates from a phonetic encoding list.

        Args:
            phonetic (str): A Beider-Morse phonetic encoding

        Returns:
            str: A BMPM code

        """
        alt_string = phonetic
        alt_array = alt_string.split('|')

        result = '|'
        for i in range(len(alt_array)):

            alt = alt_array[i]
            if alt and '|' + alt + '|' not in result:
                result += alt + '|'

        return result[1:-1]  # remove leading and trailing |

    def _normalize_lang_attrs(self, text, strip):
class Foo:
    def some_method(self, x, y):
        return x + y;
        """Remove embedded bracketed attributes.

        This (potentially) bitwise-ands bracketed attributes together and adds
        to the end.
        This is applied to a single alternative at a time -- not to a
        parenthesized list.
        It removes all embedded bracketed attributes, logically-ands them
        together, and places them at the end.
        However if strip is true, this can indeed remove embedded bracketed
        attributes from a parenthesized list.

        Args:
            text (str): A Beider-Morse phonetic encoding (in progress)
            strip (bool): Remove the bracketed attributes (and throw away)

        Returns:
            str: A BMPM code

        Raises:
            ValueError: No closing square bracket

        """
        uninitialized = -1  # all 1's
        attrib = uninitialized
        while '[' in text:
            bracket_start = text.find('[')
            bracket_end = text.find(']', bracket_start)
            if bracket_end == -1:
                raise ValueError(
                    'No closing square bracket: text=('
                    + text
                    + ') strip=('
                    + text_type(strip)
                    + ')'
                )
            attrib &= int(text[bracket_start + 1 : bracket_end])
            text = text[:bracket_start] + text[bracket_end + 1 :]

        if attrib == uninitialized or strip:
            return text
        elif attrib == 0:
            # means that the attributes were incompatible and there is no
            # alternative here
            return '[0]'
        return text + '[' + str(attrib) + ']'

    def _apply_rule_if_compat(self, phonetic, target, language_arg):
        """Apply a phonetic regex if compatible.

        tests for compatible language rules

        to do so, apply the rule, expand the results, and detect alternatives
            with incompatible attributes

        then drop each alternative that has incompatible attributes and keep
            those that are compatible

        if there are no compatible alternatives left, return false

        otherwise return the compatible alternatives

        apply the rule

        Args:
            phonetic (str): The Beider-Morse phonetic encoding (so far)
            target (str): A proposed addition to the phonetic encoding
            language_arg (int): An integer representing the target language of
                the phonetic encoding

        Returns:
            str: A candidate encoding

        """
        candidate = phonetic + target
        if '[' not in candidate:  # no attributes so we need test no further
            return candidate

        # expand the result, converting incompatible attributes to [0]
        candidate = self._expand_alternates(candidate)
        candidate_array = candidate.split('|')

        # drop each alternative that has incompatible attributes
        candidate = ''
        found = False

        for i in range(len(candidate_array)):

            this_candidate = candidate_array[i]
            if language_arg != 1:
                this_candidate = self._normalize_lang_attrs(
                    this_candidate + '[' + str(language_arg) + ']', False
                )
            if this_candidate != '[0]':
                found = True
                if candidate:
                    candidate += '|'
                candidate += this_candidate

        # return false if no compatible alternatives remain
        if not found:
            return None

        # return the result of applying the rule
        if '|' in candidate:
            candidate = '(' + candidate + ')'
        return candidate

    def _language_index_from_code(self, code, name_mode):
class Foo:
    def some_method(self, x, y):
        return x + y;
        """Return the index value for a language code.

        This returns l_any if more than one code is specified or the code is
        out of bounds.

        Args:
            code (int): The language code to interpret
            name_mode (str): The name mode of the algorithm: ``gen`` (default),
                    ``ash`` (Ashkenazi), or ``sep`` (Sephardic)

        Returns:
            int: Language code index

        """
        if code < 1 or code > sum(
            _LANG_DICT[_] for _ in BMDATA[name_mode]['languages']

        ):  # code out of range
            return L_ANY
        if (
            code & (code - 1)

        ) != 0:  # choice was more than one language; use any
            return L_ANY
        return code

    def encode(

        self,

        word,

        language_arg=0,

        name_mode='gen',

        match_mode='approx',

        concat=False,

        filter_langs=False,

    ):
        """Return the Beider-Morse Phonetic Matching encoding(s) of a term.

        Args:
            word (str): The word to transform
            language_arg (int): The language of the term; supported values
                include:
                    - ``any``
                    - ``arabic``
                    - ``cyrillic``
                    - ``czech``
                    - ``dutch``
                    - ``english``
                    - ``french``
                    - ``german``
                    - ``greek``
                    - ``greeklatin``
                    - ``hebrew``
                    - ``hungarian``
                    - ``italian``
                    - ``latvian``
                    - ``polish``
                    - ``portuguese``
                    - ``romanian``
                    - ``russian``
                    - ``spanish``
                    - ``turkish``
            name_mode (str): The name mode of the algorithm:
                - ``gen`` -- general (default)
                - ``ash`` -- Ashkenazi
                - ``sep`` -- Sephardic
            match_mode (str): Matching mode: ``approx`` or ``exact``
            concat (bool): Concatenation mode
            filter_langs (bool): Filter out incompatible languages

        Returns:
            tuple: The BMPM value(s)

        Raises:
            ValueError: Unknown language

        Examples:
            >>> pe = BeiderMorse()
            >>> pe.encode('Christopher')
            'xrQstopir xrQstYpir xristopir xristYpir xrQstofir xrQstYfir
            xristofir xristYfir xristopi xritopir xritopi xristofi xritofir
            xritofi tzristopir tzristofir zristopir zristopi zritopir zritopi
            zristofir zristofi zritofir zritofi'
            >>> pe.encode('Niall')
            'nial niol'
            >>> pe.encode('Smith')
            'zmit'
            >>> pe.encode('Schmidt')
            'zmit stzmit'

            >>> pe.encode('Christopher', language_arg='German')
            'xrQstopir xrQstYpir xristopir xristYpir xrQstofir xrQstYfir
            xristofir xristYfir'
            >>> pe.encode('Christopher', language_arg='English')
            'tzristofir tzrQstofir tzristafir tzrQstafir xristofir xrQstofir
            xristafir xrQstafir'
            >>> pe.encode('Christopher', language_arg='German',
            ... name_mode='ash')
            'xrQstopir xrQstYpir xristopir xristYpir xrQstofir xrQstYfir
            xristofir xristYfir'

            >>> pe.encode('Christopher', language_arg='German',
            ... match_mode='exact')
            'xriStopher xriStofer xristopher xristofer'

        """
        word = normalize('NFC', text_type(word.strip().lower()))

        name_mode = name_mode.strip().lower()[:3]
        if name_mode not in {'ash', 'sep', 'gen'}:
            name_mode = 'gen'

        if match_mode != 'exact':
            match_mode = 'approx'

        # Translate the supplied language_arg value into an integer
        # representing a set of languages
        all_langs = (
            sum(_LANG_DICT[_] for _ in BMDATA[name_mode]['languages']) - 1
        )
        lang_choices = 0
        if isinstance(language_arg, (int, float, long)):

            lang_choices = int(language_arg)
        elif language_arg != '' and isinstance(language_arg, (text_type, str)):
            for lang in text_type(language_arg).lower().split(','):
                if lang in _LANG_DICT and (_LANG_DICT[lang] & all_langs):
                    lang_choices += _LANG_DICT[lang]
                elif not filter_langs:
                    raise ValueError(
                        'Unknown \''
                        + name_mode
                        + '\' language: \''
                        + lang
                        + '\''
                    )

        # Language choices are either all incompatible with the name mode or
        # no choices were given, so try to autodetect
        if lang_choices == 0:
            language_arg = self._language(word, name_mode)
        else:
            language_arg = lang_choices
        language_arg2 = self._language_index_from_code(language_arg, name_mode)

        rules = BMDATA[name_mode]['rules'][language_arg2]
        final_rules1 = BMDATA[name_mode][match_mode]['common']
        final_rules2 = BMDATA[name_mode][match_mode][language_arg2]

        result = self._phonetic(
            word,
            name_mode,
            rules,
            final_rules1,
            final_rules2,
            language_arg,
            concat,
        )
        result = self._phonetic_numbers(result)

        return result


def bmpm(

    word,

    language_arg=0,

    name_mode='gen',

    match_mode='approx',

    concat=False,

    filter_langs=False,

):
    """Return the Beider-Morse Phonetic Matching encoding(s) of a term.

    This is a wrapper for :py:meth:`BeiderMorse.encode`.

    Args:
        word (str): The word to transform
        language_arg (str): The language of the term; supported values
            include:
                - ``any``
                - ``arabic``
                - ``cyrillic``
                - ``czech``
                - ``dutch``
                - ``english``
                - ``french``
                - ``german``
                - ``greek``
                - ``greeklatin``
                - ``hebrew``
                - ``hungarian``
                - ``italian``
                - ``latvian``
                - ``polish``
                - ``portuguese``
                - ``romanian``
                - ``russian``
                - ``spanish``
                - ``turkish``
        name_mode (str): The name mode of the algorithm:
            - ``gen`` -- general (default)
            - ``ash`` -- Ashkenazi
            - ``sep`` -- Sephardic
        match_mode (str): Matching mode: ``approx`` or ``exact``
        concat (bool): Concatenation mode
        filter_langs (bool): Filter out incompatible languages

    Returns:
        tuple: The BMPM value(s)

    Examples:
        >>> bmpm('Christopher')
        'xrQstopir xrQstYpir xristopir xristYpir xrQstofir xrQstYfir xristofir
        xristYfir xristopi xritopir xritopi xristofi xritofir xritofi
        tzristopir tzristofir zristopir zristopi zritopir zritopi zristofir
        zristofi zritofir zritofi'
        >>> bmpm('Niall')
        'nial niol'
        >>> bmpm('Smith')
        'zmit'
        >>> bmpm('Schmidt')
        'zmit stzmit'

        >>> bmpm('Christopher', language_arg='German')
        'xrQstopir xrQstYpir xristopir xristYpir xrQstofir xrQstYfir xristofir
        xristYfir'
        >>> bmpm('Christopher', language_arg='English')
        'tzristofir tzrQstofir tzristafir tzrQstafir xristofir xrQstofir
        xristafir xrQstafir'
        >>> bmpm('Christopher', language_arg='German', name_mode='ash')
        'xrQstopir xrQstYpir xristopir xristYpir xrQstofir xrQstYfir xristofir
        xristYfir'

        >>> bmpm('Christopher', language_arg='German', match_mode='exact')
        'xriStopher xriStofer xristopher xristofer'

    """
    return BeiderMorse().encode(
        word, language_arg, name_mode, match_mode, concat, filter_langs
    )


if __name__ == '__main__':
    import doctest

    doctest.testmod()

chrislit / abydos

Pull Request — master (#141)

abydos.phonetic._beider_morse.BeiderMorse.encode() C

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