Пример #1
0
    def __init__(self, constants=None, syllabifier=None,
                 optional_transform: bool = False, *args, **kwargs)->None:
        """
        :param constants: None or a class that implements ScansionConstants
        :param syllabifier: None or a class that implements Syllabifier methods
        :param optional_tranform: boolean, whether or not to apply aggresive verse transformations.
        :param kwargs:
        """
        super().__init__(*args, **kwargs)
        self.constants = ScansionConstants() if constants is None else constants
        self.syllabifier = Syllabifier() if syllabifier is None else syllabifier
        self.remove_punct_map = string_utils.remove_punctuation_dict()
        self.punctuation_substitutions = string_utils.punctuation_for_spaces_dict()
        self.metrical_validator = MetricalValidator(self.constants)
        self.formatter = ScansionFormatter(self.constants)
        self.optional_transform = optional_transform
        self.inverted_amphibrach_re = re.compile(
            r"{}\s*{}\s*{}".format(self.constants.STRESSED,
                                   self.constants.UNSTRESSED,
                                   self.constants.STRESSED))
        self.syllable_matcher = re.compile(r"[{}]".format(self.constants.VOWELS +
                                                          self.constants.ACCENTED_VOWELS +
                                                          self.constants.LIQUIDS +
                                                          self.constants.MUTES))
        self.SPONDAIC_PENTAMETER = self.constants.SPONDEE + self.constants.SPONDEE + \
                                   self.constants.STRESSED + self.constants.DACTYL + \
                                   self.constants.DACTYL + self.constants.OPTIONAL_ENDING

        self.DACTYLIC_PENTAMETER = self.constants.DACTYL + self.constants.DACTYL + \
                                   self.constants.STRESSED + self.constants.DACTYL + \
                                   self.constants.DACTYL + self.constants.OPTIONAL_ENDING
Пример #2
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    def __init__(self,
                 constants=ScansionConstants(),
                 syllabifier=Syllabifier(),
                 optional_transform: bool = False,
                 *args,
                 **kwargs):
        super().__init__(*args, **kwargs)
        self.constants = constants
        self.remove_punct_map = StringUtils.remove_punctuation_dict()
        self.punctuation_substitutions = StringUtils.punctuation_for_spaces_dict(
        )
        self.metrical_validator = MetricalValidator(constants)
        self.formatter = ScansionFormatter(constants)
        self.syllabifier = syllabifier
        self.optional_transform = optional_transform
        self.inverted_amphibrach_re = re.compile(r"{}\s*{}\s*{}".format(
            self.constants.STRESSED, self.constants.UNSTRESSED,
            self.constants.STRESSED))
        self.syllable_matcher = re.compile(
            r"[{}]".format(self.constants.VOWELS +
                           self.constants.ACCENTED_VOWELS +
                           self.constants.LIQUIDS + self.constants.MUTES))
        self.SPONDAIC_PENTAMETER = self.constants.SPONDEE + self.constants.SPONDEE + \
                                   self.constants.STRESSED + self.constants.DACTYL + \
                                   self.constants.DACTYL + self.constants.OPTIONAL_ENDING

        self.DACTYLIC_PENTAMETER = self.constants.DACTYL + self.constants.DACTYL + \
                                   self.constants.STRESSED + self.constants.DACTYL + \
                                   self.constants.DACTYL + self.constants.OPTIONAL_ENDING
Пример #3
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    def __init__(self, constants=ScansionConstants(), syllabifier=Syllabifier(),
                 optional_transform: bool = False, *args, **kwargs):
        super().__init__(*args, **kwargs)
        self.constants = constants
        self.remove_punct_map = string_utils.remove_punctuation_dict()
        self.punctuation_substitutions = string_utils.punctuation_for_spaces_dict()
        self.metrical_validator = MetricalValidator(constants)
        self.formatter = ScansionFormatter(constants)
        self.syllabifier = syllabifier
        self.optional_transform = optional_transform
        self.inverted_amphibrach_re = re.compile(
            r"{}\s*{}\s*{}".format(self.constants.STRESSED,
                                   self.constants.UNSTRESSED,
                                   self.constants.STRESSED))
        self.syllable_matcher = re.compile(r"[{}]".format(self.constants.VOWELS +
                                                          self.constants.ACCENTED_VOWELS +
                                                          self.constants.LIQUIDS +
                                                          self.constants.MUTES))
        self.SPONDAIC_PENTAMETER = self.constants.SPONDEE + self.constants.SPONDEE + \
                                   self.constants.STRESSED + self.constants.DACTYL + \
                                   self.constants.DACTYL + self.constants.OPTIONAL_ENDING

        self.DACTYLIC_PENTAMETER = self.constants.DACTYL + self.constants.DACTYL + \
                                   self.constants.STRESSED + self.constants.DACTYL + \
                                   self.constants.DACTYL + self.constants.OPTIONAL_ENDING
Пример #4
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 def __init__(self,
              constants=ScansionConstants(),
              syllabifier=Syllabifier(),
              **kwargs):
     self.constants = constants
     self.remove_punct_map = string_utils.remove_punctuation_dict()
     self.punctuation_substitutions = string_utils.punctuation_for_spaces_dict(
     )
     self.metrical_validator = MetricalValidator(constants)
     self.formatter = ScansionFormatter(constants)
     self.syllabifier = syllabifier
     self.inverted_amphibrach_re = re.compile(r"{}\s*{}\s*{}".format(
         self.constants.STRESSED, self.constants.UNSTRESSED,
         self.constants.STRESSED))
     self.syllable_matcher = re.compile(
         r"[{}]".format(self.constants.VOWELS +
                        self.constants.ACCENTED_VOWELS +
                        self.constants.LIQUIDS + self.constants.MUTES))
Пример #5
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 def __init__(self, constants=None, syllabifier=None, **kwargs):
     """
     :param constants: None or a class that implements ScansionConstants
     :param syllabifier: None or a class that implements Syllabifier methods
     :param kwargs:
     """
     self.constants = ScansionConstants(
     ) if constants is None else constants
     self.syllabifier = Syllabifier(
     ) if syllabifier is None else syllabifier
     self.remove_punct_map = string_utils.remove_punctuation_dict()
     self.punctuation_substitutions = string_utils.punctuation_for_spaces_dict(
     )
     self.metrical_validator = MetricalValidator(self.constants)
     self.formatter = ScansionFormatter(self.constants)
     self.inverted_amphibrach_re = re.compile(r"{}\s*{}\s*{}".format(
         self.constants.STRESSED, self.constants.UNSTRESSED,
         self.constants.STRESSED))
     self.syllable_matcher = re.compile(
         r"[{}]".format(self.constants.VOWELS +
                        self.constants.ACCENTED_VOWELS +
                        self.constants.LIQUIDS + self.constants.MUTES))
Пример #6
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 def __init__(self, constants=ScansionConstants(), syllabifier=Syllabifier(), **kwargs):
     self.constants = constants
     self.remove_punct_map = string_utils.remove_punctuation_dict()
     self.punctuation_substitutions = string_utils.punctuation_for_spaces_dict()
     self.metrical_validator = MetricalValidator(constants)
     self.formatter = ScansionFormatter(constants)
     self.syllabifier = syllabifier
     self.inverted_amphibrach_re = re.compile(
         r"{}\s*{}\s*{}".format(self.constants.STRESSED,
                                self.constants.UNSTRESSED,
                                self.constants.STRESSED))
     self.syllable_matcher = re.compile(r"[{}]".format(self.constants.VOWELS +
                                                       self.constants.ACCENTED_VOWELS +
                                                       self.constants.LIQUIDS +
                                                       self.constants.MUTES))
Пример #7
0
class VerseScanner:
    """
    The scansion symbols used can be configured by passing a suitable constants class to
    the constructor.
    """
    def __init__(self, constants=None, syllabifier=None, **kwargs):
        """
        :param constants: None or a class that implements ScansionConstants
        :param syllabifier: None or a class that implements Syllabifier methods
        :param kwargs:
        """
        self.constants = ScansionConstants(
        ) if constants is None else constants
        self.syllabifier = Syllabifier(
        ) if syllabifier is None else syllabifier
        self.remove_punct_map = string_utils.remove_punctuation_dict()
        self.punctuation_substitutions = string_utils.punctuation_for_spaces_dict(
        )
        self.metrical_validator = MetricalValidator(self.constants)
        self.formatter = ScansionFormatter(self.constants)
        self.inverted_amphibrach_re = re.compile(r"{}\s*{}\s*{}".format(
            self.constants.STRESSED, self.constants.UNSTRESSED,
            self.constants.STRESSED))
        self.syllable_matcher = re.compile(
            r"[{}]".format(self.constants.VOWELS +
                           self.constants.ACCENTED_VOWELS +
                           self.constants.LIQUIDS + self.constants.MUTES))

    def transform_i_to_j(self, line: str) -> str:
        """
        Transform instances of consonantal i to j
        :param line:
        :return:

        >>> print(VerseScanner().transform_i_to_j("iactātus"))
        jactātus
        >>> print(VerseScanner().transform_i_to_j("bracchia"))
        bracchia
        """

        words = line.split(" ")
        space_list = string_utils.space_list(line)
        corrected_words = []
        for word in words:
            found = False
            for prefix in self.constants.PREFIXES:
                if word.startswith(prefix) and word != prefix:
                    corrected_words.append(
                        self.syllabifier.convert_consonantal_i(prefix))
                    corrected_words.append(
                        self.syllabifier.convert_consonantal_i(
                            word[len(prefix):]))
                    found = True
                    break
            if not found:
                corrected_words.append(
                    self.syllabifier.convert_consonantal_i(word))
        new_line = string_utils.join_syllables_spaces(corrected_words,
                                                      space_list)
        char_list = string_utils.overwrite(
            list(new_line),
            r"\b[iī][{}]".format(self.constants.VOWELS +
                                 self.constants.ACCENTED_VOWELS), "j")
        char_list = string_utils.overwrite(
            char_list, r"\b[I][{}]".format(self.constants.VOWELS_WO_I), "J")
        char_list = string_utils.overwrite(
            char_list, r"[{}][i][{}]".format(self.constants.VOWELS_WO_I,
                                             self.constants.VOWELS), "j", 1)
        return "".join(char_list)

    def transform_i_to_j_optional(self, line: str) -> str:
        """
        Sometimes for the demands of meter a more permissive i to j transformation is warranted.

        :param line:
        :return:

        >>> print(VerseScanner().transform_i_to_j_optional("Italiam"))
        Italjam
        >>> print(VerseScanner().transform_i_to_j_optional("Lāvīniaque"))
        Lāvīnjaque
        >>> print(VerseScanner().transform_i_to_j_optional("omnium"))
        omnjum
        """
        words = line.split(" ")
        space_list = string_utils.space_list(line)
        corrected_words = []
        for word in words:
            found = False
            for prefix in self.constants.PREFIXES:
                if word.startswith(prefix) and word != prefix:
                    corrected_words.append(
                        self.syllabifier.convert_consonantal_i(prefix))
                    corrected_words.append(
                        self.syllabifier.convert_consonantal_i(
                            word[len(prefix):]))
                    found = True
                    break
            if not found:
                corrected_words.append(
                    self.syllabifier.convert_consonantal_i(word))
        new_line = string_utils.join_syllables_spaces(corrected_words,
                                                      space_list)
        #  the following two may be tunable and subject to improvement
        char_list = string_utils.overwrite(
            list(new_line),
            "[bcdfgjkmpqrstvwxzBCDFGHJKMPQRSTVWXZ][i][{}]".format(
                self.constants.VOWELS_WO_I), "j", 1)
        char_list = string_utils.overwrite(
            char_list, "[{}][iI][{}]".format(self.constants.LIQUIDS,
                                             self.constants.VOWELS_WO_I), "j",
            1)
        return "".join(char_list)

    def accent_by_position(self, verse_line: str) -> str:
        """
        Accent vowels according to the rules of scansion.

        :param verse_line: a line of unaccented verse
        :return: the same line with vowels accented by position

        >>> print(VerseScanner().accent_by_position(
        ... "Arma virumque cano, Troiae qui primus ab oris").lstrip())
        Ārma virūmque canō  Trojae qui primus ab oris
        """
        line = verse_line.translate(self.punctuation_substitutions)
        line = self.transform_i_to_j(line)
        marks = list(line)

        # locate and save dipthong positions since we don't want them being accented
        dipthong_positions = []
        for dipth in self.constants.DIPTHONGS:
            if dipth in line:
                dipthong_positions.append(line.find(dipth))

        # Vowels followed by 2 consonants
        # The digraphs ch, ph, th, qu and sometimes gu and su count as single consonants.
        # see http://people.virginia.edu/~jdk3t/epicintrog/scansion.htm
        marks = string_utils.overwrite(
            marks, "[{}][{}][{}]".format(self.constants.VOWELS,
                                         self.constants.CONSONANTS,
                                         self.constants.CONSONANTS_WO_H),
            self.constants.STRESSED)
        # one space (or more for 'dropped' punctuation may intervene)
        marks = string_utils.overwrite(
            marks, r"[{}][{}]\s*[{}]".format(self.constants.VOWELS,
                                             self.constants.CONSONANTS,
                                             self.constants.CONSONANTS_WO_H),
            self.constants.STRESSED)
        # ... if both consonants are in the next word, the vowel may be long
        # .... but it could be short if the vowel is not on the thesis/emphatic part of the foot
        # ... see Gildersleeve and Lodge p.446
        marks = string_utils.overwrite(
            marks, r"[{}]\s*[{}][{}]".format(self.constants.VOWELS,
                                             self.constants.CONSONANTS,
                                             self.constants.CONSONANTS_WO_H),
            self.constants.STRESSED)
        #  x is considered as two letters
        marks = string_utils.overwrite(
            marks, "[{}][xX]".format(self.constants.VOWELS),
            self.constants.STRESSED)
        #  z is considered as two letters
        marks = string_utils.overwrite(
            marks, r"[{}][zZ]".format(self.constants.VOWELS),
            self.constants.STRESSED)
        original_verse = list(line)
        for idx, word in enumerate(original_verse):
            if marks[idx] == self.constants.STRESSED:
                original_verse[idx] = self.constants.VOWELS_TO_ACCENTS[
                    original_verse[idx]]
        # make sure dipthongs aren't accented
        for idx in dipthong_positions:
            if original_verse[idx + 1] in self.constants.ACCENTS_TO_VOWELS:
                original_verse[idx + 1] = self.constants.ACCENTS_TO_VOWELS[
                    original_verse[idx + 1]]

        return "".join(original_verse)

    def elide_all(self, line: str) -> str:
        """
        Given a string of space separated syllables, erase with spaces the syllable portions
        that would disappear according to the rules of elision.

        :param line:
        :return:
        """
        marks = list(line.translate(self.remove_punct_map))
        all_vowels = self.constants.VOWELS + self.constants.ACCENTED_VOWELS
        tmp = "".join(marks)
        # Elision rules are compound but not cummulative: we place all elision edits into a list
        #  of candidates, and then merge, taking the least of each section of the line.
        candidates = [
            tmp,
            self.elide(
                tmp, r"[{}][{}]\s+[{}]".format(self.constants.CONSONANTS,
                                               all_vowels, all_vowels), 1, 1),
            self.elide(
                tmp, r"[{}][{}]\s+[hH]".format(self.constants.CONSONANTS,
                                               all_vowels), 1, 1),
            self.elide(tmp, r"[aāuū]m\s+[{}]".format(all_vowels), 2),
            self.elide(tmp, r"ae\s+[{}]".format(all_vowels), 2),
            self.elide(tmp, r"[{}]\s+[{}]".format(all_vowels, all_vowels), 1),
            self.elide(tmp, r"[uū]m\s+h", 2)
        ]
        results = string_utils.merge_elisions(candidates)
        return results

    def calc_offset(self, syllables_spaces: List[str]) -> Dict[int, int]:
        """
        Calculate a dictionary of accent positions from a list of syllables with spaces.

        :param syllables_spaces:
        :return:
        """
        line = string_utils.flatten(syllables_spaces)
        mydict = {}  # type: Dict[int, int]
        # #defaultdict(int) #type: Dict[int, int]
        for idx, syl in enumerate(syllables_spaces):
            target_syllable = syllables_spaces[idx]
            skip_qu = string_utils.starts_with_qu(target_syllable)
            matches = list(self.syllable_matcher.finditer(target_syllable))
            for position, possible in enumerate(matches):
                if skip_qu:
                    skip_qu = False
                    continue
                (start, end) = possible.span()
                if target_syllable[start:end] in \
                        self.constants.VOWELS + self.constants.ACCENTED_VOWELS:
                    part = line[:len("".join(syllables_spaces[:idx]))]
                    offset = len(part) + start
                    if line[offset] not in self.constants.VOWELS + self.constants.ACCENTED_VOWELS:
                        LOG.error("Problem at line {} offset {}".format(
                            line, offset))
                    mydict[idx] = offset
        return mydict

    def produce_scansion(self, stresses: list, syllables_wspaces: List[str],
                         offset_map: Dict[int, int]) -> str:
        """
        Create a scansion string that has stressed and unstressed syllable positions in locations
        that correspond with the original texts syllable vowels.

        :param stresses list of syllable positions
        :param syllables_wspaces list of syllables with spaces escaped for punctuation or elision
        :param offset_map dictionary of syllable positions, and an offset amount which is the
        number of spaces to skip in the original line before inserting the accent.
        """
        scansion = list(" " * len(string_utils.flatten(syllables_wspaces)))
        unstresses = string_utils.get_unstresses(stresses,
                                                 len(syllables_wspaces))
        try:
            for idx in unstresses:
                location = offset_map.get(idx)
                if location is not None:
                    scansion[location] = self.constants.UNSTRESSED
            for idx in stresses:
                location = offset_map.get(idx)
                if location is not None:
                    scansion[location] = self.constants.STRESSED
        except Exception as e:
            LOG.error(
                "problem with syllables; check syllabification {}, {}".format(
                    syllables_wspaces, e))
        return "".join(scansion)

    def flag_dipthongs(self, syllables: List[str]) -> List[int]:
        """
        Return a list of syllables that contain a dipthong

        :param syllables:
        :return:
        """
        long_positions = []
        for idx, syl in enumerate(syllables):
            for dipthong in self.constants.DIPTHONGS:
                if dipthong in syllables[idx]:
                    if not string_utils.starts_with_qu(syllables[idx]):
                        long_positions.append(idx)
        return long_positions

    def elide(self,
              line: str,
              regexp: str,
              quantity: int = 1,
              offset: int = 0) -> str:
        """
        Erase a section of a line, matching on a regex, pushing in a quantity of blank spaces,
        and jumping forward with an offset if necessary.
        If the elided vowel was strong, the vowel merged with takes on the stress.

        :param line:
        :param regexp:
        :param quantity:
        :param offset:
        :return:

        >>> print(VerseScanner().elide("uvae avaritia", r"[e]\s*[a]"))
        uv   āvaritia
        >>> print(VerseScanner().elide("mare avaritia", r"[e]\s*[a]"))
        mar  avaritia
        """
        matcher = re.compile(regexp)
        positions = matcher.finditer(line)
        new_line = line
        for match in positions:
            (start, end) = match.span()  # pylint: disable=unused-variable
            if (start > 0) and new_line[start - 1:start +
                                        1] in self.constants.DIPTHONGS:
                vowel_to_coerce = new_line[end - 1]
                new_line = new_line[:(start - 1) + offset] + (" " * (quantity + 2)) + \
                           self.constants.stress_accent_dict[vowel_to_coerce] + new_line[end:]
            else:
                new_line = new_line[:start + offset] + \
                           (" " * quantity) + new_line[start + quantity + offset:]
        return new_line

    def correct_invalid_start(self, scansion: str) -> str:
        """
        If a hexameter, hendecasyllables, or pentameter scansion starts with spondee,
        an unstressed syllable in the third position must actually be stressed,
        so we will convert it: - - | U    ->  - - | -

        :param scansion:
        :return:

        >>> print(VerseScanner().correct_invalid_start(
        ... " -   - U   U -  -  U U U U  U U  - -").strip())
        -   - -   - -  -  U U U U  U U  - -
        """
        mark_list = string_utils.mark_list(scansion)
        raw_scansion = scansion.replace(" ", "")
        if raw_scansion.startswith(self.constants.SPONDEE +
                                   self.constants.UNSTRESSED):
            new_scansion = list(self.constants.SPONDEE +
                                self.constants.SPONDEE + raw_scansion[4:])
            corrected = "".join(new_scansion)
            new_sequence = list(" " * len(scansion))
            for idx, car in enumerate(corrected):
                new_sequence[mark_list[idx]] = car
            return "".join(new_sequence)
        return scansion

    def correct_first_two_dactyls(self, scansion: str) -> str:
        """
        If a hexameter or pentameter starts with spondee,
        an unstressed syllable in the third position must actually be stressed,
        so we will convert it: - - | U    ->  - - | -
        And/or if the starting pattern is spondee + trochee + stressed, then the unstressed
        trochee can be corrected: - - | - u | -   ->  - - | - -| -

        :param scansion:
        :return:

        >>> print(VerseScanner().correct_first_two_dactyls(
        ... " -   - U   U -  -  U U U U  U U  - -")) # doctest: +NORMALIZE_WHITESPACE
         -   - -   - -  -  U U U U  U U  - -
        """
        mark_list = string_utils.mark_list(scansion)
        new_line = self.correct_invalid_start(scansion)
        raw_scansion = new_line.replace(" ", "")
        if raw_scansion.startswith(self.constants.SPONDEE +
                                   self.constants.TROCHEE +
                                   self.constants.STRESSED):
            new_scansion = list(self.constants.SPONDEE +
                                self.constants.SPONDEE +
                                self.constants.STRESSED + raw_scansion[5:])
            corrected = "".join(new_scansion)
            new_sequence = list(" " * len(scansion))
            for idx, car in enumerate(corrected):
                new_sequence[mark_list[idx]] = car
            return "".join(new_sequence)
        return new_line

    def assign_candidate(self, verse: Verse, candidate: str) -> Verse:
        """
        Helper method; make sure that the verse object is properly packaged.

        :param verse:
        :param candidate:
        :return:
        """
        verse.scansion = candidate
        verse.valid = True
        verse.accented = self.formatter.merge_line_scansion(
            verse.original, verse.scansion)
        return verse
Пример #8
0
class PentameterScanner(VerseScanner):
    """The scansion symbols used can be configured by passing a suitable constants class to
    the constructor."""
    def __init__(self,
                 constants=ScansionConstants(),
                 syllabifier=Syllabifier(),
                 optional_transform: bool = False,
                 *args,
                 **kwargs):
        super().__init__(*args, **kwargs)
        self.constants = constants
        self.remove_punct_map = StringUtils.remove_punctuation_dict()
        self.punctuation_substitutions = StringUtils.punctuation_for_spaces_dict(
        )
        self.metrical_validator = MetricalValidator(constants)
        self.formatter = ScansionFormatter(constants)
        self.syllabifier = syllabifier
        self.optional_transform = optional_transform
        self.inverted_amphibrach_re = re.compile(r"{}\s*{}\s*{}".format(
            self.constants.STRESSED, self.constants.UNSTRESSED,
            self.constants.STRESSED))
        self.syllable_matcher = re.compile(
            r"[{}]".format(self.constants.VOWELS +
                           self.constants.ACCENTED_VOWELS +
                           self.constants.LIQUIDS + self.constants.MUTES))
        self.SPONDAIC_PENTAMETER = self.constants.SPONDEE + self.constants.SPONDEE + \
                                   self.constants.STRESSED + self.constants.DACTYL + \
                                   self.constants.DACTYL + self.constants.OPTIONAL_ENDING

        self.DACTYLIC_PENTAMETER = self.constants.DACTYL + self.constants.DACTYL + \
                                   self.constants.STRESSED + self.constants.DACTYL + \
                                   self.constants.DACTYL + self.constants.OPTIONAL_ENDING

    def scan(self,
             original_line: str,
             optional_transform: bool = False) -> Verse:
        """
        Scan a line of Latin pentameter and produce a scansion pattern, and other data.

        :param original_line: the original line of Latin verse
        :param optional_transform: whether or not to perform i to j transform for syllabification
        :return: a Verse object

        >>> scanner = PentameterScanner()
        >>> print(scanner.scan('ex hoc ingrato gaudia amore tibi.'))
        Verse(original='ex hoc ingrato gaudia amore tibi.', scansion='-   -  -   - -   - U  U - U  U U ', meter='pentameter', valid=True, syllable_count=12, accented='ēx hōc īngrātō gaudia amōre tibi.', scansion_notes=['Spondaic pentameter'], syllables = ['ēx', 'hoc', 'īn', 'gra', 'to', 'gau', 'di', 'a', 'mo', 're', 'ti', 'bi'])
        >>> print(scanner.scan(
        ... "in vento et rapida scribere oportet aqua.").scansion) # doctest: +NORMALIZE_WHITESPACE
        -   -    -   U U -    - U   U -  U  U  U
        """
        verse = Verse(original_line, meter='pentameter')
        # replace punctuation with spaces
        line = original_line.translate(self.punctuation_substitutions)
        # conservative i to j
        line = self.transform_i_to_j(line)
        working_line = self.elide_all(line)
        working_line = self.accent_by_position(working_line)
        syllables = self.syllabifier.syllabify(working_line)
        if optional_transform:
            working_line = self.transform_i_to_j_optional(line)
            working_line = self.elide_all(working_line)
            working_line = self.accent_by_position(working_line)
            syllables = self.syllabifier.syllabify(working_line)
            verse.scansion_notes += [
                self.constants.NOTE_MAP["optional i to j"]
            ]
        verse.working_line = working_line
        verse.syllable_count = self.syllabifier.get_syllable_count(syllables)
        verse.syllables = syllables
        if verse.syllable_count < 12:
            verse.valid = False
            verse.scansion_notes += [self.constants.NOTE_MAP["< 12p"]]
            return verse
        stresses = self.flag_dipthongs(syllables)
        syllables_wspaces = StringUtils.to_syllables_with_trailing_spaces(
            working_line, syllables)
        offset_map = self.calc_offset(syllables_wspaces)
        for idx, syl in enumerate(syllables):
            for accented in self.constants.ACCENTED_VOWELS:
                if accented in syl:
                    stresses.append(idx)
        # first syllable is always long in Pentameter
        stresses.append(0)
        # second to last syllable is always long
        stresses.append(verse.syllable_count - 2)

        verse.scansion = self.produce_scansion(stresses, syllables_wspaces,
                                               offset_map)
        if len(StringUtils.stress_positions(self.constants.STRESSED, verse.scansion)) != \
                len(set(stresses)):
            verse.valid = False
            verse.scansion_notes += [
                self.constants.NOTE_MAP["invalid syllables"]
            ]
            return verse

        if self.metrical_validator.is_valid_pentameter(verse.scansion):
            verse.scansion_notes += [self.constants.NOTE_MAP["positionally"]]
            return self.assign_candidate(verse, verse.scansion)

        # identify some obvious and probably choices based on number of syllables
        if verse.syllable_count == 12:  # produce spondees where possible
            candidate = self.make_spondaic(verse.scansion)
            verse.scansion_notes += [self.constants.NOTE_MAP["12p"]]
            return self.assign_candidate(verse, candidate)
        if verse.syllable_count == 14:  # produce spondees where possible
            candidate = self.make_dactyls(verse.scansion)
            verse.scansion_notes += [self.constants.NOTE_MAP["14p"]]
            return self.assign_candidate(verse, candidate)
        if verse.syllable_count > 14:
            verse.valid = False
            verse.scansion_notes += [self.constants.NOTE_MAP["> 14"]]
            return verse

        smoothed = self.correct_first_two_dactyls(verse.scansion)

        if distance(verse.scansion, smoothed) > 0:
            verse.scansion_notes += [self.constants.NOTE_MAP["invalid start"]]
            verse.scansion = smoothed
            stresses += StringUtils.differences(verse.scansion, smoothed)

        if self.metrical_validator.is_valid_pentameter(verse.scansion):
            return self.assign_candidate(verse, verse.scansion)

        smoothed = self.correct_penultimate_dactyl_chain(verse.scansion)

        if distance(verse.scansion, smoothed) > 0:
            verse.scansion_notes += [
                self.constants.NOTE_MAP["penultimate dactyl chain"]
            ]
            verse.scansion = smoothed
            stresses += StringUtils.differences(verse.scansion, smoothed)

        if self.metrical_validator.is_valid_pentameter(verse.scansion):
            return self.assign_candidate(verse, verse.scansion)

        candidates = self.metrical_validator.closest_pentameter_patterns(
            verse.scansion)
        if candidates is not None:
            if len(candidates) == 1 \
                    and len(verse.scansion.replace(" ", "")) == len(candidates[0]) \
                    and len(StringUtils.differences(verse.scansion, candidates[0])) == 1:
                tmp_scansion = self.produce_scansion(
                    StringUtils.differences(verse.scansion, candidates[0]),
                    syllables_wspaces, offset_map)

                if self.metrical_validator.is_valid_pentameter(tmp_scansion):
                    verse.scansion_notes += [
                        self.constants.NOTE_MAP["closest match"]
                    ]
                    return self.assign_candidate(verse, tmp_scansion)

        # if the line doesn't scan "as is", it may scan if the optional i to j transformations
        # are made, so here we set them and try again.
        if self.optional_transform and not verse.valid:
            return self.scan(original_line, optional_transform=True)

        verse.accented = self.formatter.merge_line_scansion(
            verse.original, verse.scansion)
        return verse

    def make_spondaic(self, scansion: str) -> str:
        """
        If a pentameter line has 12 syllables, then it must start with double spondees.

        :param scansion: a string of scansion patterns
        :return: a scansion pattern string starting with two spondees

        >>> print(PentameterScanner().make_spondaic("U  U  U  U  U  U  U  U  U  U  U  U"))
        -  -  -  -  -  -  U  U  -  U  U  U
        """
        mark_list = StringUtils.mark_list(scansion)
        vals = list(scansion.replace(" ", ""))
        new_vals = self.SPONDAIC_PENTAMETER[:-1] + vals[-1]
        corrected = "".join(new_vals)
        new_line = list(" " * len(scansion))
        for idx, car in enumerate(corrected):
            new_line[mark_list[idx]] = car
        return "".join(new_line)

    def make_dactyls(self, scansion: str) -> str:
        """
        If a pentameter line has 14 syllables, it starts and ends with double dactyls.

        :param scansion: a string of scansion patterns
        :return: a scansion pattern string starting and ending with double dactyls

        >>> print(PentameterScanner().make_dactyls("U  U  U  U  U  U  U  U  U  U  U  U  U  U"))
        -  U  U  -  U  U  -  -  U  U  -  U  U  U
        """
        mark_list = StringUtils.mark_list(scansion)
        vals = list(scansion.replace(" ", ""))
        new_vals = self.DACTYLIC_PENTAMETER[:-1] + vals[-1]
        corrected = "".join(new_vals)
        new_line = list(" " * len(scansion))
        for idx, car in enumerate(corrected):
            new_line[mark_list[idx]] = car
        return "".join(new_line)

    def correct_penultimate_dactyl_chain(self, scansion: str) -> str:
        """
        For pentameter the last two feet of the verse are predictable dactyls,
        and do not regularly allow substitutions.

        :param scansion: scansion line thus far
        :return: corrected line of scansion

        >>> print(PentameterScanner().correct_penultimate_dactyl_chain(
        ... "U  U  U  U  U  U  U  U  U  U  U  U  U  U"))
        U  U  U  U  U  U  U  -  U  U  -  U  U  U
        """
        mark_list = StringUtils.mark_list(scansion)
        vals = list(scansion.replace(" ", ""))
        n_vals = vals[:-7] + [self.constants.DACTYL + self.constants.DACTYL
                              ] + [vals[-1]]
        corrected = "".join(n_vals)
        new_line = list(" " * len(scansion))
        for idx, car in enumerate(corrected):
            new_line[mark_list[idx]] = car
        return "".join(new_line)
Пример #9
0
class HendecasyllableScanner(VerseScanner):
    """The scansion symbols used can be configured by passing a suitable constants class to
    the constructor."""
    def __init__(self,
                 constants=ScansionConstants(),
                 syllabifier=Syllabifier(),
                 optional_tranform=False,
                 *args,
                 **kwargs):
        super().__init__(*args, **kwargs)
        self.constants = constants
        self.remove_punct_map = string_utils.remove_punctuation_dict()
        self.punctuation_substitutions = string_utils.punctuation_for_spaces_dict(
        )
        self.metrical_validator = MetricalValidator(constants)
        self.formatter = ScansionFormatter(constants)
        self.syllabifier = syllabifier
        self.inverted_amphibrach_re = re.compile(r"{}\s*{}\s*{}".format(
            self.constants.STRESSED, self.constants.UNSTRESSED,
            self.constants.STRESSED))
        self.syllable_matcher = re.compile(
            r"[{}]".format(self.constants.VOWELS +
                           self.constants.ACCENTED_VOWELS +
                           self.constants.LIQUIDS + self.constants.MUTES))
        self.optional_transform = optional_tranform

    def scan(self,
             original_line: str,
             optional_transform: bool = False) -> Verse:
        """
        Scan a line of Latin hendecasyllables and produce a scansion pattern, and other data.

        :param original_line: the original line of Latin verse
        :param optional_transform: whether or not to perform i to j transform for syllabification
        :return: a Verse object

        >>> scanner = HendecasyllableScanner()
        >>> print(scanner.scan("Cui dono lepidum novum libellum"))
        Verse(original='Cui dono lepidum novum libellum', scansion='  -  U -  U U -   U -   U -  U ', meter='hendecasyllable', valid=True, syllable_count=11, accented='Cui donō lepidūm novūm libēllum', scansion_notes=['Corrected invalid start.'], syllables = ['Cui', 'do', 'no', 'le', 'pi', 'dūm', 'no', 'vūm', 'li', 'bēl', 'lum'])
        >>> print(scanner.scan(
        ... "ārida modo pumice expolitum?").scansion)  # doctest: +NORMALIZE_WHITESPACE
        - U -  U U  - U   -  U - U
        """
        verse = Verse(original_line, meter='hendecasyllable')
        # replace punctuation with spaces
        line = original_line.translate(self.punctuation_substitutions)
        # conservative i to j
        line = self.transform_i_to_j(line)
        working_line = self.elide_all(line)
        working_line = self.accent_by_position(working_line)
        syllables = self.syllabifier.syllabify(working_line)
        if optional_transform:
            working_line = self.transform_i_to_j_optional(line)
            working_line = self.elide_all(working_line)
            working_line = self.accent_by_position(working_line)
            syllables = self.syllabifier.syllabify(working_line)
            verse.scansion_notes += [
                self.constants.NOTE_MAP["optional i to j"]
            ]
        verse.working_line = working_line
        verse.syllable_count = self.syllabifier.get_syllable_count(syllables)
        verse.syllables = syllables
        # identify some obvious and probably choices based on number of syllables
        if verse.syllable_count > 11:
            verse.valid = False
            verse.scansion_notes += [self.constants.NOTE_MAP["> 11"]]
            return verse
        if verse.syllable_count < 11:
            verse.valid = False
            verse.scansion_notes += [self.constants.NOTE_MAP["< 11"]]
            return verse

        stresses = self.flag_dipthongs(syllables)
        syllables_wspaces = string_utils.to_syllables_with_trailing_spaces(
            working_line, syllables)
        offset_map = self.calc_offset(syllables_wspaces)
        for idx, syl in enumerate(syllables):
            for accented in self.constants.ACCENTED_VOWELS:
                if accented in syl:
                    stresses.append(idx)
        # second to last syllable is always long
        stresses.append(verse.syllable_count - 2)

        verse.scansion = self.produce_scansion(stresses, syllables_wspaces,
                                               offset_map)
        if len(string_utils.stress_positions(self.constants.STRESSED, verse.scansion)) != \
                len(set(stresses)):
            verse.valid = False
            verse.scansion_notes += [
                self.constants.NOTE_MAP["invalid syllables"]
            ]
            return verse

        if self.metrical_validator.is_valid_hendecasyllables(verse.scansion):
            verse.scansion_notes += [self.constants.NOTE_MAP["positionally"]]
            return self.assign_candidate(verse, verse.scansion)

        smoothed = self.correct_invalid_start(verse.scansion)

        if distance(verse.scansion, smoothed) > 0:
            verse.scansion_notes += [self.constants.NOTE_MAP["invalid start"]]
            verse.scansion = smoothed
            stresses += string_utils.differences(verse.scansion, smoothed)

        if self.metrical_validator.is_valid_hendecasyllables(verse.scansion):
            return self.assign_candidate(verse, verse.scansion)

        smoothed = self.correct_antepenult_chain(verse.scansion)

        if distance(verse.scansion, smoothed) > 0:
            verse.scansion_notes += [
                self.constants.NOTE_MAP["antepenult chain"]
            ]
            verse.scansion = smoothed
            stresses += string_utils.differences(verse.scansion, smoothed)

        if self.metrical_validator.is_valid_hendecasyllables(verse.scansion):
            return self.assign_candidate(verse, verse.scansion)

        candidates = self.metrical_validator.closest_hendecasyllable_patterns(
            verse.scansion)
        if candidates is not None:
            if len(candidates) == 1 \
                    and len(verse.scansion.replace(" ", "")) == len(candidates[0]) \
                    and len(string_utils.differences(verse.scansion, candidates[0])) == 1:
                tmp_scansion = self.produce_scansion(
                    string_utils.differences(verse.scansion, candidates[0]),
                    syllables_wspaces, offset_map)
                if self.metrical_validator.is_valid_hendecasyllables(
                        tmp_scansion):
                    verse.scansion_notes += [
                        self.constants.NOTE_MAP["closest match"]
                    ]
                    return self.assign_candidate(verse, tmp_scansion)

        # if the line doesn't scan "as is", if may scan if the optional i to j transformations
        # are made, so here we set them and try again.
        if self.optional_transform and not verse.valid:
            return self.scan(original_line, optional_transform=True)

        verse.accented = self.formatter.merge_line_scansion(
            verse.original, verse.scansion)
        return verse

    def correct_invalid_start(self, scansion: str) -> str:
        """
        The third syllable of a hendecasyllabic line is long, so we will convert it.

        :param scansion: scansion string
        :return: scansion string with corrected start

        >>> print(HendecasyllableScanner().correct_invalid_start(
        ... "- U U  U U  - U   -  U - U").strip())
        - U -  U U  - U   -  U - U
        """
        mark_list = string_utils.mark_list(scansion)
        vals = list(scansion.replace(" ", ""))
        corrected = vals[:2] + [self.constants.STRESSED] + vals[3:]
        new_line = list(" " * len(scansion))
        for idx, car in enumerate(corrected):
            new_line[mark_list[idx]] = car
        return "".join(new_line)

    def correct_antepenult_chain(self, scansion: str) -> str:
        """
        For hendecasyllables the last three feet of the verse are predictable
        and do not regularly allow substitutions.

        :param scansion: scansion line thus far
        :return: corrected line of scansion

        >>> print(HendecasyllableScanner().correct_antepenult_chain(
        ... "-U -UU UU UU UX").strip())
        -U -UU -U -U -X
        """
        mark_list = string_utils.mark_list(scansion)
        vals = list(scansion.replace(" ", ""))
        new_vals = vals[:len(vals) - 6] + [
            self.constants.TROCHEE + self.constants.TROCHEE +
            self.constants.STRESSED
        ] + vals[-1:]
        corrected = "".join(new_vals)
        new_line = list(" " * len(scansion))
        for idx, car in enumerate(corrected):
            new_line[mark_list[idx]] = car
        return "".join(new_line)
Пример #10
0
class HendecasyllableScanner(VerseScanner):
    """The scansion symbols used can be configured by passing a suitable constants class to
    the constructor."""

    def __init__(self, constants=ScansionConstants(), syllabifier=Syllabifier(),
                 optional_tranform=False, *args, **kwargs):
        super().__init__(*args, **kwargs)
        self.constants = constants
        self.remove_punct_map = string_utils.remove_punctuation_dict()
        self.punctuation_substitutions = string_utils.punctuation_for_spaces_dict()
        self.metrical_validator = MetricalValidator(constants)
        self.formatter = ScansionFormatter(constants)
        self.syllabifier = syllabifier
        self.inverted_amphibrach_re = re.compile(
            r"{}\s*{}\s*{}".format(self.constants.STRESSED,
                                   self.constants.UNSTRESSED,
                                   self.constants.STRESSED))
        self.syllable_matcher = re.compile(r"[{}]".format(self.constants.VOWELS +
                                                          self.constants.ACCENTED_VOWELS +
                                                          self.constants.LIQUIDS +
                                                          self.constants.MUTES))
        self.optional_transform = optional_tranform

    def scan(self, original_line: str, optional_transform: bool = False) -> Verse:
        """
        Scan a line of Latin hendecasyllables and produce a scansion pattern, and other data.

        :param original_line: the original line of Latin verse
        :param optional_transform: whether or not to perform i to j transform for syllabification
        :return: a Verse object

        >>> scanner = HendecasyllableScanner()
        >>> print(scanner.scan("Cui dono lepidum novum libellum"))
        Verse(original='Cui dono lepidum novum libellum', scansion='  -  U -  U U -   U -   U -  U ', meter='hendecasyllable', valid=True, syllable_count=11, accented='Cui donō lepidūm novūm libēllum', scansion_notes=['Corrected invalid start.'], syllables = ['Cui', 'do', 'no', 'le', 'pi', 'dūm', 'no', 'vūm', 'li', 'bēl', 'lum'])
        >>> print(scanner.scan(
        ... "ārida modo pumice expolitum?").scansion)  # doctest: +NORMALIZE_WHITESPACE
        - U -  U U  - U   -  U - U
        """
        verse = Verse(original_line, meter='hendecasyllable')
        # replace punctuation with spaces
        line = original_line.translate(self.punctuation_substitutions)
        # conservative i to j
        line = self.transform_i_to_j(line)
        working_line = self.elide_all(line)
        working_line = self.accent_by_position(working_line)
        syllables = self.syllabifier.syllabify(working_line)
        if optional_transform:
            working_line = self.transform_i_to_j_optional(line)
            working_line = self.elide_all(working_line)
            working_line = self.accent_by_position(working_line)
            syllables = self.syllabifier.syllabify(working_line)
            verse.scansion_notes += [self.constants.NOTE_MAP["optional i to j"]]
        verse.working_line = working_line
        verse.syllable_count = self.syllabifier.get_syllable_count(syllables)
        verse.syllables = syllables
        # identify some obvious and probably choices based on number of syllables
        if verse.syllable_count > 11:
            verse.valid = False
            verse.scansion_notes += [self.constants.NOTE_MAP["> 11"]]
            return verse
        if verse.syllable_count < 11:
            verse.valid = False
            verse.scansion_notes += [self.constants.NOTE_MAP["< 11"]]
            return verse

        stresses = self.flag_dipthongs(syllables)
        syllables_wspaces = string_utils.to_syllables_with_trailing_spaces(working_line, syllables)
        offset_map = self.calc_offset(syllables_wspaces)
        for idx, syl in enumerate(syllables):
            for accented in self.constants.ACCENTED_VOWELS:
                if accented in syl:
                    stresses.append(idx)
        # second to last syllable is always long
        stresses.append(verse.syllable_count - 2)

        verse.scansion = self.produce_scansion(stresses,
                                               syllables_wspaces, offset_map)
        if len(string_utils.stress_positions(self.constants.STRESSED, verse.scansion)) != \
                len(set(stresses)):
            verse.valid = False
            verse.scansion_notes += [self.constants.NOTE_MAP["invalid syllables"]]
            return verse

        if self.metrical_validator.is_valid_hendecasyllables(verse.scansion):
            verse.scansion_notes += [self.constants.NOTE_MAP["positionally"]]
            return self.assign_candidate(verse, verse.scansion)

        smoothed = self.correct_invalid_start(verse.scansion)

        if distance(verse.scansion, smoothed) > 0:
            verse.scansion_notes += [self.constants.NOTE_MAP["invalid start"]]
            verse.scansion = smoothed
            stresses += string_utils.differences(verse.scansion, smoothed)

        if self.metrical_validator.is_valid_hendecasyllables(verse.scansion):
            return self.assign_candidate(verse, verse.scansion)

        smoothed = self.correct_antepenult_chain(verse.scansion)

        if distance(verse.scansion, smoothed) > 0:
            verse.scansion_notes += [self.constants.NOTE_MAP["antepenult chain"]]
            verse.scansion = smoothed
            stresses += string_utils.differences(verse.scansion, smoothed)

        if self.metrical_validator.is_valid_hendecasyllables(verse.scansion):
            return self.assign_candidate(verse, verse.scansion)

        candidates = self.metrical_validator.closest_hendecasyllable_patterns(verse.scansion)
        if candidates is not None:
            if len(candidates) == 1 \
                    and len(verse.scansion.replace(" ", "")) == len(candidates[0]) \
                    and len(string_utils.differences(verse.scansion, candidates[0])) == 1:
                tmp_scansion = self.produce_scansion(
                    string_utils.differences(verse.scansion, candidates[0]),
                    syllables_wspaces, offset_map)
                if self.metrical_validator.is_valid_hendecasyllables(tmp_scansion):
                    verse.scansion_notes += [self.constants.NOTE_MAP["closest match"]]
                    return self.assign_candidate(verse, tmp_scansion)

        # if the line doesn't scan "as is", if may scan if the optional i to j transformations
        # are made, so here we set them and try again.
        if self.optional_transform and not verse.valid:
            return self.scan(original_line, optional_transform=True)

        verse.accented = self.formatter.merge_line_scansion(
            verse.original, verse.scansion)
        return verse

    def correct_invalid_start(self, scansion: str) -> str:
        """
        The third syllable of a hendecasyllabic line is long, so we will convert it.

        :param scansion: scansion string
        :return: scansion string with corrected start

        >>> print(HendecasyllableScanner().correct_invalid_start(
        ... "- U U  U U  - U   -  U - U").strip())
        - U -  U U  - U   -  U - U
        """
        mark_list = string_utils.mark_list(scansion)
        vals = list(scansion.replace(" ", ""))
        corrected = vals[:2] + [self.constants.STRESSED] + vals[3:]
        new_line = list(" " * len(scansion))
        for idx, car in enumerate(corrected):
            new_line[mark_list[idx]] = car
        return "".join(new_line)

    def correct_antepenult_chain(self, scansion: str) -> str:
        """
        For hendecasyllables the last three feet of the verse are predictable
        and do not regularly allow substitutions.

        :param scansion: scansion line thus far
        :return: corrected line of scansion

        >>> print(HendecasyllableScanner().correct_antepenult_chain(
        ... "-U -UU UU UU UX").strip())
        -U -UU -U -U -X
        """
        mark_list = string_utils.mark_list(scansion)
        vals = list(scansion.replace(" ", ""))
        new_vals = vals[:len(vals) - 6] + [self.constants.TROCHEE +
                                           self.constants.TROCHEE +
                                           self.constants.STRESSED] + vals[-1:]
        corrected = "".join(new_vals)
        new_line = list(" " * len(scansion))
        for idx, car in enumerate(corrected):
            new_line[mark_list[idx]] = car
        return "".join(new_line)
Пример #11
0
class VerseScanner:
    """
    The scansion symbols used can be configured by passing a suitable constants class to
    the constructor.
    """

    def __init__(self, constants=ScansionConstants(), syllabifier=Syllabifier(), **kwargs):
        self.constants = constants
        self.remove_punct_map = string_utils.remove_punctuation_dict()
        self.punctuation_substitutions = string_utils.punctuation_for_spaces_dict()
        self.metrical_validator = MetricalValidator(constants)
        self.formatter = ScansionFormatter(constants)
        self.syllabifier = syllabifier
        self.inverted_amphibrach_re = re.compile(
            r"{}\s*{}\s*{}".format(self.constants.STRESSED,
                                   self.constants.UNSTRESSED,
                                   self.constants.STRESSED))
        self.syllable_matcher = re.compile(r"[{}]".format(self.constants.VOWELS +
                                                          self.constants.ACCENTED_VOWELS +
                                                          self.constants.LIQUIDS +
                                                          self.constants.MUTES))

    def transform_i_to_j(self, line: str) -> str:
        """
        Transform instances of consonantal i to j
        :param line:
        :return:

        >>> print(VerseScanner().transform_i_to_j("iactātus"))
        jactātus
        >>> print(VerseScanner().transform_i_to_j("bracchia"))
        bracchia
        """

        words = line.split(" ")
        space_list = string_utils.space_list(line)
        corrected_words = []
        for word in words:
            found = False
            for prefix in self.constants.PREFIXES:
                if word.startswith(prefix) and word != prefix:
                    corrected_words.append(self.syllabifier.convert_consonantal_i(prefix))
                    corrected_words.append(
                        self.syllabifier.convert_consonantal_i(word[len(prefix):]))
                    found = True
                    break
            if not found:
                corrected_words.append(self.syllabifier.convert_consonantal_i(word))
        new_line = string_utils.join_syllables_spaces(corrected_words, space_list)
        char_list = string_utils.overwrite(list(new_line),
                                          r"\b[iī][{}]".format(
                                              self.constants.VOWELS + self.constants.ACCENTED_VOWELS),
                                          "j")
        char_list = string_utils.overwrite(char_list,
                                          r"\b[I][{}]".format(self.constants.VOWELS_WO_I),
                                          "J")
        char_list = string_utils.overwrite(char_list, r"[{}][i][{}]".format(
            self.constants.VOWELS_WO_I, self.constants.VOWELS),
                                          "j", 1)
        return "".join(char_list)

    def transform_i_to_j_optional(self, line: str) -> str:
        """
        Sometimes for the demands of meter a more permissive i to j transformation is warranted.

        :param line:
        :return:

        >>> print(VerseScanner().transform_i_to_j_optional("Italiam"))
        Italjam
        >>> print(VerseScanner().transform_i_to_j_optional("Lāvīniaque"))
        Lāvīnjaque
        >>> print(VerseScanner().transform_i_to_j_optional("omnium"))
        omnjum
        """
        words = line.split(" ")
        space_list = string_utils.space_list(line)
        corrected_words = []
        for word in words:
            found = False
            for prefix in self.constants.PREFIXES:
                if word.startswith(prefix) and word != prefix:
                    corrected_words.append(self.syllabifier.convert_consonantal_i(prefix))
                    corrected_words.append(
                        self.syllabifier.convert_consonantal_i(word[len(prefix):]))
                    found = True
                    break
            if not found:
                corrected_words.append(self.syllabifier.convert_consonantal_i(word))
        new_line = string_utils.join_syllables_spaces(corrected_words, space_list)
        #  the following two may be tunable and subject to improvement
        char_list = string_utils.overwrite(list(new_line),
                                          "[bcdfgjkmpqrstvwxzBCDFGHJKMPQRSTVWXZ][i][{}]".format(
                                              self.constants.VOWELS_WO_I),
                                          "j", 1)
        char_list = string_utils.overwrite(char_list,
                                          "[{}][iI][{}]".format(self.constants.LIQUIDS,
                                                                self.constants.VOWELS_WO_I),
                                          "j", 1)
        return "".join(char_list)

    def accent_by_position(self, verse_line: str) -> str:
        """
        Accent vowels according to the rules of scansion.

        :param verse_line: a line of unaccented verse
        :return: the same line with vowels accented by position

        >>> print(VerseScanner().accent_by_position(
        ... "Arma virumque cano, Troiae qui primus ab oris").lstrip())
        Ārma virūmque canō  Trojae qui primus ab oris
        """
        line = verse_line.translate(self.punctuation_substitutions)
        line = self.transform_i_to_j(line)
        marks = list(line)

        # locate and save dipthong positions since we don't want them being accented
        dipthong_positions = []
        for dipth in self.constants.DIPTHONGS:
            if dipth in line:
                dipthong_positions.append(line.find(dipth))

        # Vowels followed by 2 consonants
        # The digraphs ch, ph, th, qu and sometimes gu and su count as single consonants.
        # see http://people.virginia.edu/~jdk3t/epicintrog/scansion.htm
        marks = string_utils.overwrite(marks, "[{}][{}][{}]".format(
            self.constants.VOWELS,
            self.constants.CONSONANTS,
            self.constants.CONSONANTS_WO_H),
                                      self.constants.STRESSED)
        # one space (or more for 'dropped' punctuation may intervene)
        marks = string_utils.overwrite(marks,
                                      r"[{}][{}]\s*[{}]".format(
                                          self.constants.VOWELS,
                                          self.constants.CONSONANTS,
                                          self.constants.CONSONANTS_WO_H),
                                      self.constants.STRESSED)
        # ... if both consonants are in the next word, the vowel may be long
        # .... but it could be short if the vowel is not on the thesis/emphatic part of the foot
        # ... see Gildersleeve and Lodge p.446
        marks = string_utils.overwrite(marks,
                                      r"[{}]\s*[{}][{}]".format(
                                          self.constants.VOWELS,
                                          self.constants.CONSONANTS,
                                          self.constants.CONSONANTS_WO_H),
                                      self.constants.STRESSED)
        #  x is considered as two letters
        marks = string_utils.overwrite(marks,
                                      "[{}][xX]".format(self.constants.VOWELS),
                                      self.constants.STRESSED)
        #  z is considered as two letters
        marks = string_utils.overwrite(marks,
                                      r"[{}][zZ]".format(self.constants.VOWELS),
                                      self.constants.STRESSED)
        original_verse = list(line)
        for idx, word in enumerate(original_verse):
            if marks[idx] == self.constants.STRESSED:
                original_verse[idx] = self.constants.VOWELS_TO_ACCENTS[original_verse[idx]]
        # make sure dipthongs aren't accented
        for idx in dipthong_positions:
            if original_verse[idx + 1] in self.constants.ACCENTS_TO_VOWELS:
                original_verse[idx + 1] = self.constants.ACCENTS_TO_VOWELS[original_verse[idx + 1]]

        return "".join(original_verse)

    def elide_all(self, line: str) -> str:
        """
        Given a string of space separated syllables, erase with spaces the syllable portions
        that would disappear according to the rules of elision.

        :param line:
        :return:
        """
        marks = list(line.translate(self.remove_punct_map))
        all_vowels = self.constants.VOWELS + self.constants.ACCENTED_VOWELS
        tmp = "".join(marks)
        # Elision rules are compound but not cummulative: we place all elision edits into a list
        #  of candidates, and then merge, taking the least of each section of the line.
        candidates = [tmp, self.elide(tmp, r"[{}][{}]\s+[{}]".format(self.constants.CONSONANTS,
                                                                     all_vowels, all_vowels), 1, 1),
                      self.elide(tmp,
                                 r"[{}][{}]\s+[hH]".format(self.constants.CONSONANTS, all_vowels),
                                 1, 1), self.elide(tmp, r"[aāuū]m\s+[{}]".format(all_vowels), 2),
                      self.elide(tmp, r"ae\s+[{}]".format(all_vowels), 2),
                      self.elide(tmp, r"[{}]\s+[{}]".format(all_vowels, all_vowels), 1),
                      self.elide(tmp, r"[uū]m\s+h", 2)]
        results = string_utils.merge_elisions(candidates)
        return results

    def calc_offset(self, syllables_spaces: List[str]) -> Dict[int, int]:
        """
        Calculate a dictionary of accent positions from a list of syllables with spaces.

        :param syllables_spaces:
        :return:
        """
        line = string_utils.flatten(syllables_spaces)
        mydict = {} # type: Dict[int, int]
        # #defaultdict(int) #type: Dict[int, int]
        for idx, syl in enumerate(syllables_spaces):
            target_syllable = syllables_spaces[idx]
            skip_qu = string_utils.starts_with_qu(target_syllable)
            matches = list(self.syllable_matcher.finditer(target_syllable))
            for position, possible in enumerate(matches):
                if skip_qu:
                    skip_qu = False
                    continue
                (start, end) = possible.span()
                if target_syllable[start:end] in \
                        self.constants.VOWELS + self.constants.ACCENTED_VOWELS:
                    part = line[:len("".join(syllables_spaces[:idx]))]
                    offset = len(part) + start
                    if line[offset] not in self.constants.VOWELS + self.constants.ACCENTED_VOWELS:
                        LOG.error("Problem at line {} offset {}".format(line, offset))
                    mydict[idx] = offset
        return mydict

    def produce_scansion(self, stresses: list, syllables_wspaces: List[str],
                         offset_map: Dict[int, int]) -> str:
        """
        Create a scansion string that has stressed and unstressed syllable positions in locations
        that correspond with the original texts syllable vowels.

        :param stresses list of syllable positions
        :param syllables_wspaces list of syllables with spaces escaped for punctuation or elision
        :param offset_map dictionary of syllable positions, and an offset amount which is the
        number of spaces to skip in the original line before inserting the accent.
        """
        scansion = list(" " * len(string_utils.flatten(syllables_wspaces)))
        unstresses = string_utils.get_unstresses(stresses, len(syllables_wspaces))
        try:
            for idx in unstresses:
                location = offset_map.get(idx)
                if location is not None:
                    scansion[location] = self.constants.UNSTRESSED
            for idx in stresses:
                location = offset_map.get(idx)
                if location is not None:
                    scansion[location] = self.constants.STRESSED
        except Exception as e:
            LOG.error("problem with syllables; check syllabification {}, {}".format(
                syllables_wspaces, e))
        return "".join(scansion)

    def flag_dipthongs(self, syllables: List[str]) -> List[int]:
        """
        Return a list of syllables that contain a dipthong

        :param syllables:
        :return:
        """
        long_positions = []
        for idx, syl in enumerate(syllables):
            for dipthong in self.constants.DIPTHONGS:
                if dipthong in syllables[idx]:
                    if not string_utils.starts_with_qu(syllables[idx]):
                        long_positions.append(idx)
        return long_positions

    def elide(self, line: str, regexp: str, quantity: int = 1, offset: int = 0) -> str:
        """
        Erase a section of a line, matching on a regex, pushing in a quantity of blank spaces,
        and jumping forward with an offset if necessary.
        If the elided vowel was strong, the vowel merged with takes on the stress.

        :param line:
        :param regexp:
        :param quantity:
        :param offset:
        :return:

        >>> print(VerseScanner().elide("uvae avaritia", r"[e]\s*[a]"))
        uv   āvaritia
        >>> print(VerseScanner().elide("mare avaritia", r"[e]\s*[a]"))
        mar  avaritia
        """
        matcher = re.compile(regexp)
        positions = matcher.finditer(line)
        new_line = line
        for match in positions:
            (start, end) = match.span()  # pylint: disable=unused-variable
            if (start > 0) and new_line[start - 1: start + 1] in self.constants.DIPTHONGS:
                vowel_to_coerce = new_line[end - 1]
                new_line = new_line[:(start - 1) + offset] + (" " * (quantity + 2)) + \
                           self.constants.stress_accent_dict[vowel_to_coerce] + new_line[end:]
            else:
                new_line = new_line[:start + offset] + \
                           (" " * quantity) + new_line[start + quantity + offset:]
        return new_line

    def correct_invalid_start(self, scansion: str) -> str:
        """
        If a hexameter, hendecasyllables, or pentameter scansion starts with spondee,
        an unstressed syllable in the third position must actually be stressed,
        so we will convert it: - - | U    ->  - - | -

        :param scansion:
        :return:

        >>> print(VerseScanner().correct_invalid_start(
        ... " -   - U   U -  -  U U U U  U U  - -").strip())
        -   - -   - -  -  U U U U  U U  - -
        """
        mark_list = string_utils.mark_list(scansion)
        raw_scansion = scansion.replace(" ", "")
        if raw_scansion.startswith(self.constants.SPONDEE + self.constants.UNSTRESSED):
            new_scansion = list(self.constants.SPONDEE + self.constants.SPONDEE + raw_scansion[4:])
            corrected = "".join(new_scansion)
            new_sequence = list(" " * len(scansion))
            for idx, car in enumerate(corrected):
                new_sequence[mark_list[idx]] = car
            return "".join(new_sequence)
        return scansion

    def correct_first_two_dactyls(self, scansion: str) -> str:
        """
        If a hexameter or pentameter starts with spondee,
        an unstressed syllable in the third position must actually be stressed,
        so we will convert it: - - | U    ->  - - | -
        And/or if the starting pattern is spondee + trochee + stressed, then the unstressed
        trochee can be corrected: - - | - u | -   ->  - - | - -| -

        :param scansion:
        :return:

        >>> print(VerseScanner().correct_first_two_dactyls(
        ... " -   - U   U -  -  U U U U  U U  - -")) # doctest: +NORMALIZE_WHITESPACE
         -   - -   - -  -  U U U U  U U  - -
        """
        mark_list = string_utils.mark_list(scansion)
        new_line = self.correct_invalid_start(scansion)
        raw_scansion = new_line.replace(" ", "")
        if raw_scansion.startswith(self.constants.SPONDEE + self.constants.TROCHEE +
                                   self.constants.STRESSED):
            new_scansion = list(self.constants.SPONDEE + self.constants.SPONDEE
                                + self.constants.STRESSED + raw_scansion[5:])
            corrected = "".join(new_scansion)
            new_sequence = list(" " * len(scansion))
            for idx, car in enumerate(corrected):
                new_sequence[mark_list[idx]] = car
            return "".join(new_sequence)
        return new_line

    def assign_candidate(self, verse: Verse, candidate: str) -> Verse:
        """
        Helper method; make sure that the verse object is properly packaged.

        :param verse:
        :param candidate:
        :return:
        """
        verse.scansion = candidate
        verse.valid = True
        verse.accented = self.formatter.merge_line_scansion(
            verse.original, verse.scansion)
        return verse
Пример #12
0
class PentameterScanner(VerseScanner):
    """The scansion symbols used can be configured by passing a suitable constants class to
    the constructor."""

    def __init__(self, constants=ScansionConstants(), syllabifier=Syllabifier(),
                 optional_transform: bool = False, *args, **kwargs):
        super().__init__(*args, **kwargs)
        self.constants = constants
        self.remove_punct_map = string_utils.remove_punctuation_dict()
        self.punctuation_substitutions = string_utils.punctuation_for_spaces_dict()
        self.metrical_validator = MetricalValidator(constants)
        self.formatter = ScansionFormatter(constants)
        self.syllabifier = syllabifier
        self.optional_transform = optional_transform
        self.inverted_amphibrach_re = re.compile(
            r"{}\s*{}\s*{}".format(self.constants.STRESSED,
                                   self.constants.UNSTRESSED,
                                   self.constants.STRESSED))
        self.syllable_matcher = re.compile(r"[{}]".format(self.constants.VOWELS +
                                                          self.constants.ACCENTED_VOWELS +
                                                          self.constants.LIQUIDS +
                                                          self.constants.MUTES))
        self.SPONDAIC_PENTAMETER = self.constants.SPONDEE + self.constants.SPONDEE + \
                                   self.constants.STRESSED + self.constants.DACTYL + \
                                   self.constants.DACTYL + self.constants.OPTIONAL_ENDING

        self.DACTYLIC_PENTAMETER = self.constants.DACTYL + self.constants.DACTYL + \
                                   self.constants.STRESSED + self.constants.DACTYL + \
                                   self.constants.DACTYL + self.constants.OPTIONAL_ENDING

    def scan(self, original_line: str, optional_transform: bool = False) -> Verse:
        """
        Scan a line of Latin pentameter and produce a scansion pattern, and other data.

        :param original_line: the original line of Latin verse
        :param optional_transform: whether or not to perform i to j transform for syllabification
        :return: a Verse object

        >>> scanner = PentameterScanner()
        >>> print(scanner.scan('ex hoc ingrato gaudia amore tibi.'))
        Verse(original='ex hoc ingrato gaudia amore tibi.', scansion='-   -  -   - -   - U  U - U  U U ', meter='pentameter', valid=True, syllable_count=12, accented='ēx hōc īngrātō gaudia amōre tibi.', scansion_notes=['Spondaic pentameter'], syllables = ['ēx', 'hoc', 'īn', 'gra', 'to', 'gau', 'di', 'a', 'mo', 're', 'ti', 'bi'])
        >>> print(scanner.scan(
        ... "in vento et rapida scribere oportet aqua.").scansion) # doctest: +NORMALIZE_WHITESPACE
        -   -    -   U U -    - U   U -  U  U  U
        """
        verse = Verse(original_line, meter='pentameter')
        # replace punctuation with spaces
        line = original_line.translate(self.punctuation_substitutions)
        # conservative i to j
        line = self.transform_i_to_j(line)
        working_line = self.elide_all(line)
        working_line = self.accent_by_position(working_line)
        syllables = self.syllabifier.syllabify(working_line)
        if optional_transform:
            working_line = self.transform_i_to_j_optional(line)
            working_line = self.elide_all(working_line)
            working_line = self.accent_by_position(working_line)
            syllables = self.syllabifier.syllabify(working_line)
            verse.scansion_notes += [self.constants.NOTE_MAP["optional i to j"]]
        verse.working_line = working_line
        verse.syllable_count = self.syllabifier.get_syllable_count(syllables)
        verse.syllables = syllables
        if verse.syllable_count < 12:
            verse.valid = False
            verse.scansion_notes += [self.constants.NOTE_MAP["< 12p"]]
            return verse
        stresses = self.flag_dipthongs(syllables)
        syllables_wspaces = string_utils.to_syllables_with_trailing_spaces(working_line, syllables)
        offset_map = self.calc_offset(syllables_wspaces)
        for idx, syl in enumerate(syllables):
            for accented in self.constants.ACCENTED_VOWELS:
                if accented in syl:
                    stresses.append(idx)
        # first syllable is always long in Pentameter
        stresses.append(0)
        # second to last syllable is always long
        stresses.append(verse.syllable_count - 2)

        verse.scansion = self.produce_scansion(stresses,
                                               syllables_wspaces, offset_map)
        if len(string_utils.stress_positions(self.constants.STRESSED, verse.scansion)) != \
                len(set(stresses)):
            verse.valid = False
            verse.scansion_notes += [self.constants.NOTE_MAP["invalid syllables"]]
            return verse

        if self.metrical_validator.is_valid_pentameter(verse.scansion):
            verse.scansion_notes += [self.constants.NOTE_MAP["positionally"]]
            return self.assign_candidate(verse, verse.scansion)

        # identify some obvious and probably choices based on number of syllables
        if verse.syllable_count == 12:  # produce spondees where possible
            candidate = self.make_spondaic(verse.scansion)
            verse.scansion_notes += [self.constants.NOTE_MAP["12p"]]
            return self.assign_candidate(verse, candidate)
        if verse.syllable_count == 14:  # produce spondees where possible
            candidate = self.make_dactyls(verse.scansion)
            verse.scansion_notes += [self.constants.NOTE_MAP["14p"]]
            return self.assign_candidate(verse, candidate)
        if verse.syllable_count > 14:
            verse.valid = False
            verse.scansion_notes += [self.constants.NOTE_MAP["> 14"]]
            return verse

        smoothed = self.correct_first_two_dactyls(verse.scansion)

        if distance(verse.scansion, smoothed) > 0:
            verse.scansion_notes += [self.constants.NOTE_MAP["invalid start"]]
            verse.scansion = smoothed
            stresses += string_utils.differences(verse.scansion, smoothed)

        if self.metrical_validator.is_valid_pentameter(verse.scansion):
            return self.assign_candidate(verse, verse.scansion)

        smoothed = self.correct_penultimate_dactyl_chain(verse.scansion)

        if distance(verse.scansion, smoothed) > 0:
            verse.scansion_notes += [self.constants.NOTE_MAP["penultimate dactyl chain"]]
            verse.scansion = smoothed
            stresses += string_utils.differences(verse.scansion, smoothed)

        if self.metrical_validator.is_valid_pentameter(verse.scansion):
            return self.assign_candidate(verse, verse.scansion)

        candidates = self.metrical_validator.closest_pentameter_patterns(verse.scansion)
        if candidates is not None:
            if len(candidates) == 1 \
                    and len(verse.scansion.replace(" ", "")) == len(candidates[0]) \
                    and len(string_utils.differences(verse.scansion, candidates[0])) == 1:
                tmp_scansion = self.produce_scansion(
                    string_utils.differences(verse.scansion, candidates[0]),
                    syllables_wspaces, offset_map)

                if self.metrical_validator.is_valid_pentameter(tmp_scansion):
                    verse.scansion_notes += [self.constants.NOTE_MAP["closest match"]]
                    return self.assign_candidate(verse, tmp_scansion)

        # if the line doesn't scan "as is", it may scan if the optional i to j transformations
        # are made, so here we set them and try again.
        if self.optional_transform and not verse.valid:
            return self.scan(original_line, optional_transform=True)

        verse.accented = self.formatter.merge_line_scansion(verse.original, verse.scansion)
        return verse

    def make_spondaic(self, scansion: str) -> str:
        """
        If a pentameter line has 12 syllables, then it must start with double spondees.

        :param scansion: a string of scansion patterns
        :return: a scansion pattern string starting with two spondees

        >>> print(PentameterScanner().make_spondaic("U  U  U  U  U  U  U  U  U  U  U  U"))
        -  -  -  -  -  -  U  U  -  U  U  U
        """
        mark_list = string_utils.mark_list(scansion)
        vals = list(scansion.replace(" ", ""))
        new_vals = self.SPONDAIC_PENTAMETER[:-1] + vals[-1]
        corrected = "".join(new_vals)
        new_line = list(" " * len(scansion))
        for idx, car in enumerate(corrected):
            new_line[mark_list[idx]] = car
        return "".join(new_line)

    def make_dactyls(self, scansion: str) -> str:
        """
        If a pentameter line has 14 syllables, it starts and ends with double dactyls.

        :param scansion: a string of scansion patterns
        :return: a scansion pattern string starting and ending with double dactyls

        >>> print(PentameterScanner().make_dactyls("U  U  U  U  U  U  U  U  U  U  U  U  U  U"))
        -  U  U  -  U  U  -  -  U  U  -  U  U  U
        """
        mark_list = string_utils.mark_list(scansion)
        vals = list(scansion.replace(" ", ""))
        new_vals = self.DACTYLIC_PENTAMETER[:-1] + vals[-1]
        corrected = "".join(new_vals)
        new_line = list(" " * len(scansion))
        for idx, car in enumerate(corrected):
            new_line[mark_list[idx]] = car
        return "".join(new_line)

    def correct_penultimate_dactyl_chain(self, scansion: str) -> str:
        """
        For pentameter the last two feet of the verse are predictable dactyls,
        and do not regularly allow substitutions.

        :param scansion: scansion line thus far
        :return: corrected line of scansion

        >>> print(PentameterScanner().correct_penultimate_dactyl_chain(
        ... "U  U  U  U  U  U  U  U  U  U  U  U  U  U"))
        U  U  U  U  U  U  U  -  U  U  -  U  U  U
        """
        mark_list = string_utils.mark_list(scansion)
        vals = list(scansion.replace(" ", ""))
        n_vals = vals[:-7] + [self.constants.DACTYL + self.constants.DACTYL] + [vals[-1]]
        corrected = "".join(n_vals)
        new_line = list(" " * len(scansion))
        for idx, car in enumerate(corrected):
            new_line[mark_list[idx]] = car
        return "".join(new_line)