Metadata-Version: 1.1
Name: ipapy
Version: 0.0.8.0
Summary: ipapy is a Python module to work with IPA strings
Home-page: https://github.com/pettarin/ipapy
Author: Alberto Pettarin
Author-email: alberto@albertopettarin.it
License: MIT License
Description: ipapy
        =====
        
        **ipapy** is a Python module to work with IPA strings.
        
        -  Version: 0.0.8
        -  Date: 2016-06-07
        -  Developer: `Alberto Pettarin <http://www.albertopettarin.it/>`__
        -  License: the MIT License (MIT)
        -  Contact: `click here <http://www.albertopettarin.it/contact.html>`__
        -  Links: `GitHub <https://github.com/pettarin/ipapy>`__ -
           `PyPI <https://pypi.python.org/pypi/ipapy>`__
        
        Installation
        ------------
        
        .. code:: bash
        
            $ pip install ipapy
        
        or
        
        .. code:: bash
        
            $ git clone https://github.com/pettarin/ipapy.git
            $ cd ipapy
        
        Usage
        -----
        
        As A Python Module
        ~~~~~~~~~~~~~~~~~~
        
        .. code:: python
        
            ###########
            # IMPORTS #
            ###########
            from ipapy import UNICODE_TO_IPA
            from ipapy import is_valid_ipa
            from ipapy.ipachar import IPAConsonant
            from ipapy.ipachar import IPAVowel
            from ipapy.ipastring import IPAString
        
        
            ###########
            # IPAChar #
            ###########
        
            # Def.: an IPAChar is an IPA letter or diacritic/suprasegmental/tone mark
        
            # create IPAChar from its Unicode representation
            c1 = UNICODE_TO_IPA[u"a"]                   # vowel open front unrounded
            c2 = UNICODE_TO_IPA[u"e"]                   # vowel close-mid front unrounded
            c3 = UNICODE_TO_IPA[u"\u03B2"]              # consonant voiced bilabial non-sibilant-fricative
            tS1 = UNICODE_TO_IPA[u"t͡ʃ"]                 # consonant voiceless palato-alveolar sibilant-affricate
            tS2 = UNICODE_TO_IPA[u"t͜ʃ"]                 # consonant voiceless palato-alveolar sibilant-affricate
            tS3 = UNICODE_TO_IPA[u"tʃ"]                 # consonant voiceless palato-alveolar sibilant-affricate
            tS4 = UNICODE_TO_IPA[u"ʧ"]                  # consonant voiceless palato-alveolar sibilant-affricate
            tS5 = UNICODE_TO_IPA[u"\u0074\u0361\u0283"] # consonant voiceless palato-alveolar sibilant-affricate
            tS6 = UNICODE_TO_IPA[u"\u0074\u035C\u0283"] # consonant voiceless palato-alveolar sibilant-affricate
            tS7 = UNICODE_TO_IPA[u"\u0074\u0283"]       # consonant voiceless palato-alveolar sibilant-affricate
            tS8 = UNICODE_TO_IPA[u"\u02A7"]             # consonant voiceless palato-alveolar sibilant-affricate
            c1 == c2    # False
            c1 == c3    # False
            c1 == tS1   # False
            tS1 == tS2  # True (they both point to the same IPAChar object)
            tS1 == tS3  # True (idem)
            tS1 == tS4  # True (idem)
            tS1 == tS5  # True (idem)
            tS1 == tS6  # True (idem)
            tS1 == tS7  # True (idem)
            tS1 == tS8  # True (idem)
        
            # create custom IPAChars
            my_a1 = IPAVowel(name="my_a_1", descriptors=u"open front unrounded", unicode_repr=u"a")
            my_a2 = IPAVowel(name="my_a_2", descriptors=[u"open", "front", "unrounded"], unicode_repr=u"a")
            my_a3 = IPAVowel(name="my_a_3", height=u"open", backness=u"front", roundness=u"unrounded", unicode_repr=u"a")
            my_a4 = IPAVowel(name="my_a_4", descriptors=[u"low", u"fnt", "unr"], unicode_repr=u"a")
            my_ee = IPAVowel(name="my_e_1", descriptors=u"close-mid front unrounded", unicode_repr=u"e")
            my_b1 = IPAConsonant(name="bilabial fricative", descriptors=u"voiced bilabial non-sibilant-fricative", unicode_repr=u"\u03B2")
            my_b2 = IPAConsonant(name="bf", voicing=u"voiced", place=u"bilabial", manner=u"non-sibilant-fricative", unicode_repr=u"\u03B2")
            my_tS = IPAConsonant(name="tS", voicing=u"voiceless", place=u"palato-alveolar", manner=u"sibilant-affricate", unicode_repr=u"t͡ʃ")
            my_a1 == my_a2                  # False (two different objects)
            my_a1 == c1                     # False (two different objects)
            my_a1 == UNICODE_TO_IPA["a"]    # False (two different objects)
        
            # associate non-standard Unicode representation
            my_aa = IPAVowel(name="a special", descriptors=[u"low", u"fnt", u"unr"], unicode_repr=u"a{*}")
            print(my_aa)    # "a{*}"
        
            # equality vs. equivalence
            my_tS == tS1                # False (my_tS is a different object than tS1)
            my_tS.is_equivalent(tS1)    # True  (my_tS is equivalent to tS1...)
            tS1.is_equivalent(my_tS)    # True  (... and vice versa)
        
            # compare IPAChar objects
            my_a1.is_equivalent(my_a2)  # True
            my_a1.is_equivalent(my_a3)  # True
            my_a1.is_equivalent(my_a4)  # True
            my_a1.is_equivalent(my_ee)  # False
            my_a1.is_equivalent(my_b1)  # False
            my_b1.is_equivalent(my_b2)  # True
            my_b1.is_equivalent(my_tS)  # False
        
            # compare IPAChar and a Unicode string
            my_b1.is_equivalent(u"\u03B2")  # True
            my_b1.is_equivalent(u"β")       # True
            my_b1.is_equivalent(u"b")       # False
            my_tS.is_equivalent(u"tS")      # False
            my_tS.is_equivalent(u"tʃ")      # False (missing the combining diacritic)
            my_tS.is_equivalent(u"t͡ʃ")      # True (has combining diacritic)
        
            # compare IPAChar and a string listing descriptors
            my_a1.is_equivalent(u"open front unrounded")                                # False (missing 'vowel')
            my_a1.is_equivalent(u"open front unrounded vowel")                          # True
            my_a1.is_equivalent(u"low fnt unr vwl")                                     # True (known abbreviations are good as well)
            my_ee.is_equivalent(u"open front unrounded vowel")                          # False
            my_b1.is_equivalent(u"voiced bilabial non-sibilant-fricative")              # False (missing 'consonant')
            my_b1.is_equivalent(u"voiced bilabial non-sibilant-fricative consonant")    # True
            my_b1.is_equivalent(u"consonant non-sibilant-fricative bilabial voiced")    # True (the order does not matter)
            my_b1.is_equivalent(u"consonant non-sibilant-fricative bilabial voiceless") # False
        
            # compare IPAChar and list of descriptors
            my_a1.is_equivalent([u"open", u"front", u"unrounded"])              # False
            my_a1.is_equivalent([u"vowel", u"open", u"front", u"unrounded"])    # True
            my_a1.is_equivalent([u"open", u"unrounded", u"vowel", u"front"])    # True
            my_a1.is_equivalent([u"low", u"fnt", u"unr", u"vwl"])               # True
        
        
            #############
            # IPAString #
            #############
        
            # Def.: an IPAString is a list of IPAChar objects
        
            # check if Unicode string contains only IPA valid characters
            s_uni = u"əˈkiːn æˌkænˈθɑ.lə.d͡ʒi"   # Unicode string of the IPA pronunciation for "achene acanthology"
            is_valid_ipa(s_uni)                 # True
            is_valid_ipa(u"LoL")                # False (uppercase letter L is not IPA valid)
        
            # create IPAString from list of IPAChar objects
            new_s_ipa = IPAString(ipa_chars=[c3, c2, tS1, c1])
        
            # create IPAString from Unicode string
            s_ipa = IPAString(unicode_string=s_uni)
        
            # IPAString is similar to regular Python string object
            print(s_ipa)                            # "əˈkiːn æˌkænˈθɑ.lə.d͡ʒi"
            len(s_ipa)                              # 21
            s_ipa[0]                                # (first IPA char)
            s_ipa[5:8]                              # (6th, 7th, 8th IPA chars)
            s_ipa[19:]                              # (IPA chars from the 20th)
            s_ipa[-1]                               # (last IPA char)
            len(new_s_ipa)                          # 4
            new_s_ipa.append(UNICODE_TO_IPA[u"a"])  # (append IPA char "a")
            len(new_s_ipa)                          # 5
            new_s_ipa.append(UNICODE_TO_IPA[u"t͡ʃ"]) # (append IPA char "t͡ʃ")
            len(new_s_ipa)                          # 6
            new_s_ipa.extend(s_ipa)                 # (append s_ipa to new_s_ipa)
            len(new_s_ipa)                          # 27
            double = s_ipa + new_s_ipa              # (concatenate s_ipa and new_s_ipa)
            len(double)                             # 48
        
            # new IPAString objects containing only...
            print(s_ipa.consonants)                 # "knknθld͡ʒ"                (consonants)
            print(s_ipa.vowels)                     # "əiææɑəi"                 (vowels)
            print(s_ipa.letters)                    # "əkinækænθɑləd͡ʒi"         (vowels and consonants)
            print(s_ipa.cns_vwl)                    # "əkinækænθɑləd͡ʒi"         (vowels and consonants)
            print(s_ipa.cns_vwl_pstr)               # "əˈkinækænˈθɑləd͡ʒi"       (  + primary stress marks)
            print(s_ipa.cns_vwl_pstr_long)          # "əˈkiːnækænˈθɑləd͡ʒi"      (    + long marks)
            print(s_ipa.cns_vwl_str)                # "əˈkinæˌkænˈθɑləd͡ʒi"      (  + stress marks)
            print(s_ipa.cns_vwl_str_len)            # "əˈkiːnæˌkænˈθɑləd͡ʒi"     (    + length marks)
            print(s_ipa.cns_vwl_str_len_wb)         # "əˈkiːn æˌkænˈθɑləd͡ʒi"    (      + word breaks)
            print(s_ipa.cns_vwl_str_len_wb_sb)      # "əˈkiːn æˌkænˈθɑ.lə.d͡ʒi"  (        + syllable breaks)
            cns = s_ipa.consonants                  # (store new IPA string)
            cns == s_ipa.consonants                 # False (two different objects)
            cns.is_equivalent(s_ipa.consonants)     # True
            cns.is_equivalent(s_ipa)                # False
        
            # print representation and name of all IPAChar objects in IPAString
            for c in s_ipa:
                print(u"%s\t%s" % (c, c.name))
            # ə vowel mid central unrounded
            # ˈ suprasegmental primary-stress
            # k consonant voiceless velar plosive
            # i vowel close front unrounded
            # ː suprasegmental long
            # n consonant voiced alveolar nasal
            #   suprasegmental word-break
            # æ vowel near-open front unrounded
            # ˌ suprasegmental secondary-stress
            # k consonant voiceless velar plosive
            # æ vowel near-open front unrounded
            # n consonant voiced alveolar nasal
            # ˈ suprasegmental primary-stress
            # θ consonant voiceless dental non-sibilant-fricative
            # ɑ vowel open back unrounded
            # . suprasegmental syllable-break
            # l consonant voiced alveolar lateral-approximant
            # ə vowel mid central unrounded
            # . suprasegmental syllable-break
            # d͡ʒ   consonant voiced palato-alveolar sibilant-affricate
            # i vowel close front unrounded
        
            # compare IPAString objects
            s_ipa_d = IPAString(unicode_string=u"diff")
            s_ipa_1 = IPAString(unicode_string=u"at͡ʃe")
            s_ipa_2 = IPAString(unicode_string=u"aʧe")
            s_ipa_3 = IPAString(unicode_string=u"at͡ʃe", single_char_parsing=True)
            s_ipa_d == s_ipa_1              # False
            s_ipa_1 == s_ipa_2              # False (different objects)
            s_ipa_1 == s_ipa_3              # False (different objects)
            s_ipa_2 == s_ipa_3              # False (different objects)
            s_ipa_d.is_equivalent(s_ipa_1)  # False
            s_ipa_1.is_equivalent(s_ipa_2)  # True
            s_ipa_2.is_equivalent(s_ipa_1)  # True
            s_ipa_1.is_equivalent(s_ipa_3)  # True
            s_ipa_2.is_equivalent(s_ipa_3)  # True
        
            # compare IPAString and list of IPAChar objects
            s_ipa_1.is_equivalent([my_a1, my_tS, my_ee])    # True
        
            # compare IPAString and Unicode string
            s_ipa_d.is_equivalent(u"diff")                  # True
            s_ipa_1.is_equivalent(u"atse")                  # False
            s_ipa_1.is_equivalent(u"atSe")                  # False
            s_ipa_1.is_equivalent(u"at͡ʃe")                  # True
            s_ipa_1.is_equivalent(u"at͜ʃe")                  # True
            s_ipa_1.is_equivalent(u"aʧe")                   # True
            s_ipa_1.is_equivalent(u"at͡ʃeLOL", ignore=True)  # True (ignore chars non IPA valid)
            s_ipa_1.is_equivalent(u"at͡ʃeLoL", ignore=True)  # False (ignore chars non IPA valid, note extra "o")
        
        
            ########################
            # CONVERSION FUNCTIONS #
            ########################
            from ipapy.kirshenbaummapper import KirshenbaumMapper
            kmapper = KirshenbaumMapper()                                    # mapper to Kirshenbaum ASCII IPA
            s_k_ipa = kmapper.map_ipa_string(s_ipa)                          # u"@'ki:n#&,k&n'TA#l@#dZi"
            s_k_uni = kmapper.map_unicode_string(s_uni)                      # u"@'ki:n#&,k&n'TA#l@#dZi"
            s_k_ipa == s_k_uni                                               # True
            s_k_lis = kmapper.map_unicode_string(s_uni, return_as_list=True) # [u'@', u"'", u'k', u'i', u':', u'n', u'#', u'&', u',', u'k', u'&', u'n', u"'", u'T', u'A', u'#', u'l', u'@', u'#', u'dZ', u'i']
        
            from ipapy.arpabetmapper import ARPABETMapper
            amapper = ARPABETMapper()                                                    # mapper to ARPABET ASCII IPA (stress marks not supported yet)
            s_a = amapper.map_unicode_string(u"pɹuːf")                                   # error: long suprasegmental not mapped
            s_a = amapper.map_unicode_string(u"pɹuːf", ignore=True)                      # u"PRUWF"
            s_a = amapper.map_unicode_string(u"pɹuːf", ignore=True, return_as_list=True) # [u'P', u'R', u'UW', u'F']
        
        As A Command Line Tool
        ~~~~~~~~~~~~~~~~~~~~~~
        
        **ipapy** comes with a command line tool to perform operations on a
        given Unicode UTF-8 encoded string, representing an IPA string.
        Therefore, it is recommended to run it on a shell supporting UTF-8.
        
        Currently, the supported operations are:
        
        -  ``canonize``: canonize the Unicode representation of the IPA string
        -  ``chars``: list all IPA characters appearing in the IPA string
        -  ``check``: check if the given Unicode string is IPA valid
        -  ``clean``: remove characters that are not IPA valid
        -  ``u2a``: print the corresponding ARPABET (ASCII IPA) string
        -  ``u2k``: print the corresponding Kirshenbaum (ASCII IPA) string
        
        Run with the ``--help`` parameter to list all the available options:
        
        .. code:: bash
        
            $ python -m ipapy --help
        
            usage: __main__.py [-h] [-i] [-p] [--separator [SEPARATOR]] [-s] [-u]
                               command string
        
            ipapy perform a command on the given IPA/Unicode string
        
            positional arguments:
              command               [canonize|chars|check|clean|u2a|u2k]
              string                String to canonize, check, clean, or convert
        
            optional arguments:
              -h, --help            show this help message and exit
              -i, --ignore          Ignore Unicode characters that are not IPA valid
              -p, --print-invalid   Print Unicode characters that are not IPA valid
              --separator [SEPARATOR]
                                    Print IPA chars separated by this character (default:
                                    '')
              -s, --single-char-parsing
                                    Perform single character parsing instead of maximal
                                    parsing
              -u, --unicode         Print each Unicode character that is not IPA valid
                                    with its Unicode codepoint and name
        
        Examples:
        
        .. code:: bash
        
            $ python -m ipapy canonize "eʧiu"
            et͡ʃiu
        
            $ python -m ipapy canonize "eʧiu" --separator " "
            e t͡ʃ i u
        
            $ python -m ipapy chars "eʧiu"
            'e' vowel close-mid front unrounded (U+0065)
            't͡ʃ'   consonant voiceless palato-alveolar sibilant-affricate (U+0074 U+0361 U+0283)
            'i' vowel close front unrounded (U+0069)
            'u' vowel close back rounded (U+0075)
        
            $ python -m ipapy chars "et͡ʃiu"
            'e' vowel close-mid front unrounded (U+0065)
            't͡ʃ'   consonant voiceless palato-alveolar sibilant-affricate (U+0074 U+0361 U+0283)
            'i' vowel close front unrounded (U+0069)
            'u' vowel close back rounded (U+0075)
        
            $ python -m ipapy chars "et͡ʃiu" -s
            'e' vowel close-mid front unrounded (U+0065)
            't' consonant voiceless alveolar plosive (U+0074)
            '͡' diacritic tie-bar-above (U+0361)
            'ʃ' consonant voiceless palato-alveolar sibilant-fricative (U+0283)
            'i' vowel close front unrounded (U+0069)
            'u' vowel close back rounded (U+0075)
        
            $ python -m ipapy check "eʧiu"
            True
        
            $ python -m ipapy check "LoL"
            False
        
            $ python -m ipapy check "LoL" -p
            False
            LL
        
            $ python -m ipapy check "LoLOL" -p -u
            False
            LLOL
            'L' 0x4c    LATIN CAPITAL LETTER L
            'O' 0x4f    LATIN CAPITAL LETTER O
        
            $ python -m ipapy clean "/eʧiu/"
            eʧiu
        
            $ python -m ipapy u2k "eʧiu"
            etSiu
        
            $ python -m ipapy u2k "eTa"
            The given string contains characters not IPA valid. Use the 'ignore' option to ignore them.
        
            $ python -m ipapy u2k "eTa" -i
            ea
        
            $ python -m ipapy u2a "eʧiu" --separator " "
            EH CH IH UW
        
        Unit Testing
        ------------
        
        .. code:: bash
        
            $ python run_all_unit_tests.py
        
        License
        -------
        
        **ipapy** is released under the MIT License.
        
Keywords: ipapy,International Phonetic Alphabet,IPA,ASCII IPA,ASCIIIPA,ASCII-IPA,Kirshenbaum,Kirshenbaum IPA,Unicode
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Environment :: Console
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: End Users/Desktop
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX :: Linux
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Topic :: Documentation
Classifier: Topic :: Education
Classifier: Topic :: Education :: Computer Aided Instruction (CAI)
Classifier: Topic :: Multimedia :: Sound/Audio :: Analysis
Classifier: Topic :: Multimedia :: Sound/Audio :: Sound Synthesis
Classifier: Topic :: Multimedia :: Sound/Audio :: Speech
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Human Machine Interfaces
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Topic :: Software Development :: Internationalization
Classifier: Topic :: Software Development :: Libraries
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Topic :: Software Development :: Localization
Classifier: Topic :: Text Processing
Classifier: Topic :: Text Processing :: Linguistic
Classifier: Topic :: Text Processing :: Markup
Classifier: Topic :: Utilities
